diff --git a/.codecov.yml b/.codecov.yml
new file mode 100644
index 000000000..27894713c
--- /dev/null
+++ b/.codecov.yml
@@ -0,0 +1,6 @@
+# Ignoring Paths
+# --------------
+# which folders/files to ignore
+ignore:
+  - setup.py
+  - versioneer.py
\ No newline at end of file
diff --git a/.flake8 b/.flake8
index c89afb788..52611dd6e 100644
--- a/.flake8
+++ b/.flake8
@@ -2,6 +2,9 @@
 # see https://flake8.pycqa.org/en/latest/user/options.html
 
 [flake8]
+# E203 is not PEP8 compliant https://black.readthedocs.io/en/stable/the_black_code_style/current_style.html#slices
+# Is excluded from flake8's own config https://flake8.pycqa.org/en/latest/user/configuration.html
+extend-ignore = E203
 max-line-length = 99
 max-doc-length = 99
 per-file-ignores =
@@ -9,3 +12,7 @@ per-file-ignores =
     __init__.py:F401
     # invalid escape sequence '\s'
     versioneer.py:W605
+exclude =
+    docs
+    .eggs
+    build
diff --git a/.github/workflows/deploy.yaml b/.github/workflows/deploy.yaml
deleted file mode 100644
index 05750cd46..000000000
--- a/.github/workflows/deploy.yaml
+++ /dev/null
@@ -1,33 +0,0 @@
-name: Deploy Python Package
-
-on:
-  release:
-    types: [published]
-
-jobs:
-  deploy:
-    name: Deploy to PyPI
-    runs-on: ubuntu-latest
-
-    steps:
-    - uses: actions/checkout@v2
-    - name: Set up Python
-      uses: actions/setup-python@v2
-      with:
-        python-version: '3.8'
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install setuptools wheel twine
-    - name: Build and publish
-      env:
-        TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
-        TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
-      run: |
-        python setup.py sdist bdist_wheel
-        twine upload dist/*
-    - uses: actions/upload-artifact@v2
-      with:
-        name: dist
-        path: |
-          dist/*
diff --git a/.github/workflows/flake8.yaml b/.github/workflows/flake8.yaml
index c71678e45..011af0d89 100644
--- a/.github/workflows/flake8.yaml
+++ b/.github/workflows/flake8.yaml
@@ -12,14 +12,14 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.8]
+        python-version: [3.12]
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
       with:
         fetch-depth: 0  # fetch all branches, needed so we can diff against the target branch
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v5
       with:
         python-version: ${{ matrix.python-version }}
     - name: Install flake8
diff --git a/.github/workflows/nbval.yaml b/.github/workflows/nbval.yaml
index 761c6da05..e014b4944 100644
--- a/.github/workflows/nbval.yaml
+++ b/.github/workflows/nbval.yaml
@@ -10,18 +10,18 @@ jobs:
       fail-fast: false  # don't cancel other matrix jobs when one fails
       matrix:
         notebook-file: [
-          'TrendAnalysis_example_pvdaq4.ipynb',
-          'degradation_and_soiling_example_pvdaq_4.ipynb',
+          'TrendAnalysis_example.ipynb',
+          'TrendAnalysis_example_NSRDB.ipynb',
+          'degradation_and_soiling_example.ipynb',
           'system_availability_example.ipynb'
-          # can't run the DKASC notebook here because it requires pre-downloaded data
         ]
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Set up Python
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v5
       with:
-        python-version: "3.10"
+        python-version: "3.12"
     - name: Install notebook environment
       run: |
         python -m pip install --upgrade pip wheel
@@ -29,14 +29,14 @@ jobs:
     - name: Run notebook and check output
       run: |
         # --sanitize-with:  pre-process text to remove irrelevant differences (e.g. warning filepaths)
-        pytest --nbval --sanitize-with docs/nbval_sanitization_rules.cfg docs/${{ matrix.notebook-file }}
+        pytest --nbval docs/${{ matrix.notebook-file }} --sanitize-with docs/nbval_sanitization_rules.cfg
     - name: Run notebooks again, save files
       run: |
         pip install nbconvert[webpdf]
         mkdir docs/artifacts
         jupyter nbconvert --to html --execute --ExecutePreprocessor.timeout=600 --allow-errors --output artifacts/${{ matrix.notebook-file }}.html docs/${{ matrix.notebook-file }}
     - name: Upload artifacts
-      uses: actions/upload-artifact@v2
+      uses: actions/upload-artifact@v4
       with:
-        name: executed_notebooks
+        name: executed_notebook_${{ matrix.notebook-file }}
         path: docs/artifacts
diff --git a/.github/workflows/publish-to-pypi.yaml b/.github/workflows/publish-to-pypi.yaml
new file mode 100644
index 000000000..57d938ed4
--- /dev/null
+++ b/.github/workflows/publish-to-pypi.yaml
@@ -0,0 +1,50 @@
+name: Publish Python distribution to PyPI and TestPyPI
+
+on: push
+
+jobs:
+  build:
+    name: Build distribution
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: "3.x"
+    - name: Install pypa/build
+      run: >-
+        python3 -m
+        pip install
+        build
+        --user
+    - name: Build a binary wheel and a source tarball
+      run: python3 -m build
+    - name: Store the distribution packages
+      uses: actions/upload-artifact@v4
+      with:
+        name: python-package-distributions
+        path: dist/
+
+  publish-to-pypi:
+    name: >-
+      Publish Python distribution to PyPI
+    if: startsWith(github.ref, 'refs/tags/')  # only publish to PyPI on tag pushes
+    needs:
+    - build
+    runs-on: ubuntu-latest
+    environment:
+      name: pypi
+      url: https://pypi.org/p/rdtools
+    permissions:
+      id-token: write  # IMPORTANT: mandatory for trusted publishing
+
+    steps:
+    - name: Download all the dists
+      uses: actions/download-artifact@v4
+      with:
+        name: python-package-distributions
+        path: dist/
+    - name: Publish distribution to PyPI
+      uses: pypa/gh-action-pypi-publish@release/v1
\ No newline at end of file
diff --git a/.github/workflows/pytest.yaml b/.github/workflows/pytest.yaml
index 17aa453c6..fc277b095 100644
--- a/.github/workflows/pytest.yaml
+++ b/.github/workflows/pytest.yaml
@@ -14,27 +14,27 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.7", "3.8", "3.9", "3.10"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
         env: [
           '-r requirements.txt .[test]',
           '-r requirements-min.txt .[test]',
           '--upgrade --upgrade-strategy=eager .[test]'
         ]
         exclude:
-          - python-version: 3.8
+          - python-version: "3.9"
+            env: "-r requirements.txt .[test]"
+          - python-version: "3.10"
             env: '-r requirements-min.txt .[test]'
-          - python-version: 3.9
+          - python-version: "3.11"
             env: '-r requirements-min.txt .[test]'
-          - python-version: "3.10"
+          - python-version: "3.12"
             env: '-r requirements-min.txt .[test]'
-          # required numpy is not available on python 3.7, so exclude:
-          - python-version: 3.7
-            env: '-r requirements.txt .[test]'
+      fail-fast: false
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v5
       with:
         python-version: ${{ matrix.python-version }}
     - name: Install ${{ matrix.env }}
diff --git a/.github/workflows/requirements.yaml b/.github/workflows/requirements.yaml
index 2bcae12b9..cb1d8b00a 100644
--- a/.github/workflows/requirements.yaml
+++ b/.github/workflows/requirements.yaml
@@ -18,11 +18,11 @@ jobs:
     runs-on: ${{ matrix.os }}
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Set up Python
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v5
       with:
-        python-version: "3.10"
+        python-version: "3.12"
     - name: Install notebook environment
       run: |
         python -m pip install --upgrade pip wheel
diff --git a/.gitignore b/.gitignore
index 2a7bf5838..95b56ca81 100644
--- a/.gitignore
+++ b/.gitignore
@@ -27,6 +27,7 @@ docs/sphinx/source/generated
 .eggs/
 build/
 dist/
+tmp/
 rdtools.egg-info*
 
 # emacs temp files
@@ -35,3 +36,6 @@ rdtools.egg-info*
 .\#*
 
 *.pickle
+
+# ignore vscode settings
+.vscode/
diff --git a/.readthedocs.yml b/.readthedocs.yml
index a75f7f277..13ab9fa47 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -1,9 +1,9 @@
 version: 2
 
 build:
-  os: "ubuntu-22.04"
+  os: "ubuntu-24.04"
   tools:
-    python: "3.7"
+    python: "3.12"
 
 python:
     install:
diff --git a/CITATION.cff b/CITATION.cff
new file mode 100644
index 000000000..2c050d4b1
--- /dev/null
+++ b/CITATION.cff
@@ -0,0 +1,46 @@
+cff-version: 1.2.0
+message: "If you use this software, please cite it as below."
+authors:
+- family-names: "Deceglie"
+  given-names: "Michael G."
+  orcid: "https://orcid.org/0000-0001-7063-9676"
+- family-names: "Anderson"
+  given-names: "Kevin"
+- family-names: "Shinn"
+  given-names: "Adam"
+- family-names: "Ambarish"
+  given-names: "Nag"
+- family-names: "Mikofski"
+  given-names: "Mark"
+  orcid: "https://orcid.org/0000-0001-8001-8582"
+- family-names: "Springer"
+  given-names: "Martin"
+  orcid: "https://orcid.org/0000-0001-6803-108X"
+- family-names: "Yan"
+  given-names: "Jiyang"
+- family-names: "Perry"
+  given-names: "Kirsten"
+- family-names: "Villamar"
+  given-names: "Sandra"
+- family-names: "Vining"
+  given-names: "Will"
+- family-names: "Kimball"
+  given-names: "Gregory M."
+  orcid: "https://orcid.org/0000-0003-1075-1417"
+- family-names: "Ruth"
+  given-names: "Daniel"
+- family-names: "Moyer"
+  given-names: "Noah"
+- family-names: "Nguyen"
+  given-names: "Quyen"
+- family-names: "Jordan"
+  given-names: "Dirk"
+  orcid: "https://orcid.org/0000-0002-2183-7489"
+- family-names: "Muller"
+  given-names: "Matthew"
+- family-names: "Deline"
+  given-names: "Chris"
+  orcid: "https://orcid.org/0000-0002-9867-8930"
+title: "RdTools"
+doi: 10.5281/zenodo.1210316
+url: "https://github.com/NREL/rdtools"
\ No newline at end of file
diff --git a/README.md b/README.md
index f7149d262..189a4f610 100644
--- a/README.md
+++ b/README.md
@@ -12,11 +12,11 @@ Code coverage:
 RdTools is an open-source library to support reproducible technical analysis of
 time series data from photovoltaic energy systems. The library aims to provide
 best practice analysis routines along with the building blocks for users to
-tailor their own analyses.
-Current applications include the evaluation of PV production over several years to obtain
-rates of performance degradation and soiling loss. RdTools can handle
-both high frequency (hourly or better) or low frequency (daily, weekly,
-etc.) datasets. Best results are obtained with higher frequency data.
+tailor their own analyses. Current applications include the evaluation of PV
+production over several years to obtain rates of performance degradation and
+soiling loss. RdTools can handle both high frequency (hourly or better) or low
+frequency (daily, weekly, etc.) datasets. Best results are obtained with higher
+frequency data.
 
 RdTools can be installed automatically into Python from PyPI using the
 command line:
@@ -27,17 +27,17 @@ pip install rdtools
 
 For API documentation and full examples, please see the [documentation](https://rdtools.readthedocs.io).
 
-RdTools currently is tested on Python 3.7+.
+RdTools currently is tested on Python 3.9+.
 
 ## Citing RdTools
 
 To cite RdTools, please use the following along with the version number
 and the specific DOI coresponding to that version from [Zenodo](https://doi.org/10.5281/zenodo.1210316):
 
--  Michael G. Deceglie, Ambarish Nag, Adam Shinn, Gregory Kimball,
-   Daniel Ruth, Dirk Jordan, Jiyang Yan, Kevin Anderson, Kirsten Perry,
-   Mark Mikofski, Matthew Muller, Will Vining, and Chris Deline
-   RdTools, version {insert version}, Compuer Software,
+-  Michael G. Deceglie, Kevin Anderson,  Adam Shinn, Ambarish Nag, Mark Mikofski,
+   Martin Springer, Jiyang Yan, Kirsten Perry, Sandra Villamar, Will Vining,
+   Gregory Kimball, Daniel Ruth, Noah Moyer, Quyen Nguyen, Dirk Jordan,
+   Matthew Muller, and Chris Deline, RdTools, version {insert version}, Computer Software,
    https://github.com/NREL/rdtools. DOI:{insert DOI}
 
 The underlying workflow of RdTools has been published in several places.
diff --git a/docs/TrendAnalysis_example.ipynb b/docs/TrendAnalysis_example.ipynb
new file mode 100644
index 000000000..45744e996
--- /dev/null
+++ b/docs/TrendAnalysis_example.ipynb
@@ -0,0 +1,62629 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# TrendAnalysis object-oriented example\n",
+    "\n",
+    "\n",
+    "This juypter notebook is intended to demonstrate the RdTools analysis workflow as implemented with the `rdtools.TrendAnalysis` object-oriented API. For a consistent experience, we recommend installing the packages and versions documented in `docs/notebook_requirements.txt`. This can be achieved in your environment by running `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) This notebook was tested in python 3.12.\n",
+    "\n",
+    "The calculations consist of two phases:\n",
+    "\n",
+    "1. Import and preliminary calculations: In this step data is important and augmented to enable analysis with RdTools. **No RdTools functions are used in this step. It will vary depending on the particulars of your dataset. Be sure to understand the inputs RdTools requires and make appropriate adjustments.**  \n",
+    "2. Analysis with RdTools: This notebook illustrates the use of the TrendAnalysis API to year on year (YOY) degradation and recovery (SRR) soiling calculations.\n",
+    "\n",
+    "This notebook works with data from the NREL PVDAQ `[4] NREL x-Si #1` system.  Note that because this system does not experience significant soiling, the dataset contains a synthesized soiling signal for use in the soiling section of the example.  This notebook automatically downloads and locally caches the dataset used in this example. The data can also be found on the DuraMAT Datahub (https://datahub.duramat.org/dataset/pvdaq-time-series-with-soiling-signal).\n",
+    "\n",
+    "An older version of this notebook (RdTools<3) included emphasis on the clear sky workflow which uses clear sky modeled irradiance rather than measured (sensor) irradiance for analysis. The clear sky analysis served to double check the sensor based result for things like sensor drift, but there was high uncertainty with this approach because aerosal optical depth (AOD), an input to the clear sky irradiance model, can change from year to year. Therefore we have de-emphasized the clear sky workflow in this version of the notebook. We also include a new notebook that illustrates the use of satellite irradiance data, which can serve as a check on the sensor-based analysis."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pvlib\n",
+    "import rdtools\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Update the style of plots\n",
+    "import matplotlib\n",
+    "matplotlib.rcParams.update({'font.size': 12,\n",
+    "                           'figure.figsize': [4.5, 3],\n",
+    "                           'lines.markeredgewidth': 0,\n",
+    "                           'lines.markersize': 2\n",
+    "                           })\n",
+    "# Register time series plotting in pandas > 1.0\n",
+    "from pandas.plotting import register_matplotlib_converters\n",
+    "register_matplotlib_converters()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set the random seed for numpy to ensure consistent results\n",
+    "np.random.seed(0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Import and preliminary calculations\n",
+    "\n",
+    "\n",
+    "This section prepares the data necessary for an `rdtools` calculation.\n",
+    "\n",
+    "A common challenge is handling datasets with and without daylight savings time. Make sure to specify a `pytz` timezone that does or does not include daylight savings time as appropriate for your dataset.\n",
+    "\n",
+    "**The steps of this section may change depending on your data source or the system being considered. Note that nothing in this first section utilizes the `rdtools` library.** Transposition of irradiance and modeling of cell temperature are generally outside the scope of `rdtools`. A variety of tools for these calculations are available in [pvlib](https://github.com/pvlib/pvlib-python)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the example data\n",
+    "file_url = ('https://datahub.duramat.org/dataset/'\n",
+    "            'a49bb656-7b36-437a-8089-1870a40c2a7d/'\n",
+    "            'resource/d2c3fcf4-4f5f-47ad-8743-fc29'\n",
+    "            'f1356835/download/pvdaq_system_4_2010'\n",
+    "            '-2016_subset_soil_signal.csv')\n",
+    "cache_file = 'PVDAQ_system_4_2010-2016_subset_soilsignal.pickle'\n",
+    "\n",
+    "try:\n",
+    "    df = pd.read_pickle(cache_file)\n",
+    "except FileNotFoundError:\n",
+    "    df = pd.read_csv(file_url, index_col=0, parse_dates=True)\n",
+    "    df.to_pickle(cache_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df.rename(columns = {\n",
+    "    'ac_power':'power_ac',\n",
+    "    'wind_speed': 'wind_speed',\n",
+    "    'ambient_temp': 'Tamb',\n",
+    "    'poa_irradiance': 'poa',\n",
+    "})\n",
+    "\n",
+    "# Specify the Metadata\n",
+    "meta = {\"latitude\": 39.7406,\n",
+    "        \"longitude\": -105.1774,\n",
+    "        \"timezone\": 'Etc/GMT+7',\n",
+    "        \"gamma_pdc\": -0.005,\n",
+    "        \"azimuth\": 180,\n",
+    "        \"tilt\": 40,\n",
+    "        \"power_dc_rated\": 1000.0,\n",
+    "        \"temp_model_params\":'open_rack_glass_polymer'}\n",
+    "\n",
+    "df.index = df.index.tz_localize(meta['timezone'])\n",
+    "\n",
+    "# Set the pvlib location\n",
+    "loc = pvlib.location.Location(meta['latitude'], meta['longitude'], tz = meta['timezone'])\n",
+    "\n",
+    "# There is some missing data, but we can infer the frequency from\n",
+    "# the first several data points\n",
+    "freq = pd.infer_freq(df.index[:10])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This example dataset includes a synthetic soiling signal that can be applied onto the PV power data to illustrate the soiling loss and detection capabilities of RdTools.  AC Power is multiplied by soiling to create the synthetic 'power' channel"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot synthetic soiling signal attached to the dataset\n",
+    "fig, ax = plt.subplots(figsize=(4,3))\n",
+    "ax.plot(df.index, df.soiling, 'o', alpha=0.01)\n",
+    "#ax.set_ylim(0,1500)\n",
+    "fig.autofmt_xdate()\n",
+    "ax.set_ylabel('soiling signal');\n",
+    "plt.show()\n",
+    "\n",
+    "df['power'] = df['power_ac'] * df['soiling']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Use of the object oriented system analysis API"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The first step is to create a `TrendAnalysis` instance containing data to be analyzed and information about the system. Here we illustrate a basic applicaiton, but the API is highly customizable and we encourage you to read the docstrings and check the source for full details."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ta = rdtools.TrendAnalysis(df['power'], df['poa'],\n",
+    "                           temperature_ambient=df['Tamb'],\n",
+    "                           gamma_pdc=meta['gamma_pdc'],\n",
+    "                           interp_freq=freq,\n",
+    "                           windspeed=df['wind_speed'],\n",
+    "                           power_dc_rated=meta['power_dc_rated'],\n",
+    "                           temperature_model=meta['temp_model_params'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Once the `TrendAnalysis` object is ready, the `sensor_analysis()` method can be used to deploy the full chain of analysis steps. Results are stored in nested dict, `TrendAnalysis.results`.\n",
+    "\n",
+    "New in RdTools 3, there are two filtering steps. The first step occurs after normalization but before aggregation, and the second after aggregation. Filters utilized in the first filtering step can be adjusted by changing the dict `TrendAnalysis.filter_params`. Filters used in the second filtering step can be adjusted by changing the dict `TrendAnalysis.filter_params_aggregated`. \n",
+    "\n",
+    "Here we also illustrate how the aggregated data can be used to estimate soiling losses using the stochastic rate and recovery (SRR) method.<sup>1</sup> Since our example system doesn't experience much soiling, we apply an artificially generated soiling signal, just for the sake of example. If the dataset doesn't require special treatment, the 'srr_soiling' analysis type can just be added to the `sensor_analysis` function below. A warning is emitted here because the underlying RdTools soiling module is still experimental and subject to change.\n",
+    "\n",
+    "<sup>1</sup>M. G. Deceglie, L. Micheli and M. Muller, \"Quantifying Soiling Loss Directly From PV Yield,\" IEEE Journal of Photovoltaics, vol. 8, no. 2, pp. 547-551, March 2018. doi: 10.1109/JPHOTOV.2017.2784682"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "ta.sensor_analysis(analyses=['yoy_degradation','srr_soiling'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The results of the calculations are stored in a nested dict, `TrendAnalysis.results`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "yoy_results = ta.results['sensor']['yoy_degradation']\n",
+    "srr_results = ta.results['sensor']['srr_soiling']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-0.501\n",
+      "[-0.611 -0.322]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the sensor-based analysis p50 degradation rate and confidence interval\n",
+    "print(np.round(yoy_results['p50_rd'], 3))\n",
+    "print(np.round(yoy_results['rd_confidence_interval'], 3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.954\n",
+      "[0.95  0.957]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the p50 inoslation-weighted soiling ration and confidence interval\n",
+    "print(np.round(srr_results['p50_sratio'], 3))\n",
+    "print(np.round(srr_results['sratio_confidence_interval'], 3))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting\n",
+    "The `TrendAnalysis` class has built in methods for making useful plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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WugNOLGWkWc5iXzPXzVjqFZxaHNDLLFjDYl8zu5yxkmraSUAzDogUFNpgkFihKKxkdsXVzvXzUibM8TwrL7MRKaekgnShVcSqRUSgXK87zwT1n6vjYo2EbMnDm5mZYXZ2ds33b775Zq644ootD2qCCc41LnVyysWIjXqf9Ul4o9v731v1Rsb1l6vT8gvtjFK/gGZo0UZiTEkKKUsB8kKjrdOkBOhnmpV+ysogJ8s17UQwKCAQLrwphUXZAl0oFpZzrFBIAYG0tJUkUpaVzOXoDJKmKhhoSawsgyImUrCSFqwMcjqJQpuw8kJ9XrERCoQUVU2eE5weMndlJWVmkUKuOveLybPz2JKH98xnPpM/+ZM/YWFh4bT3vvWtb/Gnf/qnPOc5zznbsU0wwTnDpU5OORvs5FyaKifnegPSM2E9b6R+ruudt79P6rJeMPQ4fQ1dKJ0R8jm3NNcMcrOKtVgUBfPLfY6eWubE4oBQWuJQuX3kGcu9FCUscRQQxQG5hv6gQApLr1+wMtCcXOhzbLHA6pzuQLvyhDBm/0wTZOA8zTyjmzrjpkXoupabMiQrHUFGSOXYnUqt8kir61OyNL0XeLFjS0orR44c4XGPexzWWp797GfzJ3/yJ7zsZS9Da82HPvQhrrzySm688cYdX6Zwoav+J9g4ttsjO9P+LmcPcFQ5ZKddi42MZ6NjLrQZu93oeQOneXhV2UAp5iyFo/MXRUGmqdiLUJJGspyFlYxBbsjznOUBxEoTRDGdyHJyyXl60hqsr7/DYGWALTK0VWidkRvIjaYTRbTaTfa0AwoR0Q4NyIDlXkqgJHPLKYG0DDLDlbsbRIFkULhyhulmCDIYLh6kBGtAuFKHQDlfaFTObPRabvbeuNBz7pZCmldddRU33XQTv/Ebv8Hf/u3fYq3lL//yL+l0Orz0pS/lv//3/77jjd0EOxfjCna3O0l+ppDM+U7K7ySjMlpDtdMIChsZz1bG7M9bYNFmaNzq18KxE1f/738CJYmtJc0FEo02EoEzImmWM7+Sc2Kuj5SQZzlSBRglSZTh0KmCQX+ZrjYoDe1mXMoxFmgGKCuQSqO1624ggdwKksCJPkdBQZppMqNJ05RFrYilJrUR+2YUrWbDXQ+hnVyZFSSlYoozZK7GT6Cr8/V5vLW6HYzr3LDTsSUPbxQnT57EGMO+ffs2pLO5U3ChVxsTjIdfUWpjK2JAfRI+lwZhPXWMc4mdrBu5E4zxOG/Lj2ecEPNWe8vB8LvwBs/n4Pyx/WuWoV6wD2vm2pJnKceXcpRwhd6FNpxcyjBFRrefoY2kkwg6Ux0SZZjrGbrLy5zsDVDaEseKQChyrcm0xQJRoBAiYHczIM1tafQMUZTQabk6um4/RxvAFARhUIVKG3HITCsiDhW9zKCkqF4XDEssQiVIiyEDNQ7VuuUGleKKHcqNnQkXes7dknW6/vrr+dKXvlT9v2/fPg4cOFAZuxtvvJHrr79+e0Y4wWWH0YJdPxmdj1qfKlfD+a1F28mst51QRLxewbyxq3/g7MbsPDw38fuuBFUdXWlc01xXLXz8/wu9gt4g4/BCzmJ3wKETXe4+2ePwyWUWl/ucXOwjbGm8pKqYlKIYsJBZWsKi4giMABEQKIUFtM7RuqAdWqwIaMeWtDDMrfTo9lO63T7ziz2KdICiIFCu5EAFIUkcEYQRUgWoIKTdiGgmEc3YBfcGuRl2NRfSsT5L77bQjnm6Vrd0/1yuZ+x2Wj54SyHN97znPTztaU/jcY973Nj377jjDt773vdO1FYm2BKG4cbzP8FeKEmki5X1dr4wGm6se2RSnC7EvJ6HV39vNPRp7dCbMxZ0UZYRCEEUSLSBLHc1bwBZOmC+p8nSgWuiiiISOfNLBsiJI0l3kNIdaITIMTYgUAW9DAaZIZCWU72cGI0NEvY2I5Z6KYM8BQwNJSFqYI1mYANim3K8B0potJDk1jDQipmGBBkz3QxoxYpeDu0IrFAkYWmwtcsthkpgVLCqI7kPy1opScIaOUc46bB4jGs07p4dve47LRx+Vlqaa+HIkSM0Go1zsesJJjinuFwNz2bDluPCiOd6XK5/m3u9PoGOyzOtN9HWO4R7MeV6qNSF+SgLt8EYJ6pc9AecXM5Z6fXp9jMWuwOOLCyRWYPR0EkiGlGEEjCVNLBWkqaOhKIU5JklEzl2YNGmYNb2aEYhoc05oSUHGhK06zQupKAZJBQIAizdoqDoL3PLfMGBVshAK9qh64fXigRKKWbaEZ1EEYYhjdiglKIZSQoryxIFTV6SdMLAomTJehUuojG83oKoJLPUQ7kbweh1v1ALyLWwYYP3kY98hI985CPV/3/yJ3/CDTfccNp2CwsL3HDDDfzAD/zA9oxwggkuQ2w1b7bVz51pJT5u5V6FD8/h6n0zE6jPoY2GItfDUEFlWG5gEQTSGT2J4dTCIt87ssgdJ05grCSQgrDRZtDvc2hxkYXegKaAQkAjjrn3TING1EAJQa5zlgcFWg+Y7+UYnbE06LGQWva1Ina1W/RyQSgMJ0yDbt4jCQPyPCeXAkxO14QoW3C8lzNI+8yqDveaaRJECUVhCKKQTiN0heihIgoVlqAKNcYl01IJS1EUaCHQoSBQIWEgy/fKkG0ZytdlXk7Kzbc9qn8/O20BuWGDd/PNN/OBD3wAcCfxpS99iZtuumnVNkIIWq0WP/RDP8Qf/uEfbu9IJ5jgMsJWQ0Fb/dyZVuLjDM9oGHE9jBrMjRrmzUyguR6yBuv6lRK76hj1fY4WlHtjN8gtRZ4x18346q2H+LfDsywczVBtaIbwwAMaawydQDJQ0B1A2oN+I0UZTRIvkOc5i1nKyVNLLFkIc+gZWJp3pXLLyxnXHpBMJxFzfUMzW+TkYoZSDa6cSlBJg2UDsTT08oCQPlmYMB2F7N3VwgqFNa7PnZKCTEOjvA6RsoAqRaBd+QTC6WcinMJKYJyX5xvNhtJJp/lrCGLTBKqdZuBGseWO5+973/v4yZ/8yXMxpvOGC80YmmCCtXC+Pbxzvd9RFup2s1KtdcQRz+yNQ7WqUNofwzc8rb9mrMtvFdaplGSF4dRSn7uOznOiO+CWg3dzcK7g1AmYmYFOAnt3N9jdlKSZ5Y75HukS9HNoRDC1GwILi11Y6kK/ByaDBWAGyIFGG67cC1fvSzBCEWHoF5qFLCMSIVe0G7SbLUQxYMWG3GMqciosQcTuRsg9rthNI3KsS+/Zdhqha9hadknvNMLSWxNOHFqpqtZOCkiioCL31FGvTfT1eNsVwr7Qc+6WcnhrsXYmmGCC7cFWV8rnaoV9tvsd9dTGeZRbMap1Dy1QEimHFHnJcJI2ZnUZwbCJqUFbQZ47ea4VrVle6fMf3zvOv991kH6uKVYABfunQIawsgJ92+fYLIjQhXQzC522YzgunIK7TsBxIAIKHP0qxRm7aWDXFCRxSYoRFhmGCAqkFuTkFLqBwLCkQ1oR9E3I7qZChU3iyHlkg9wMpcKUJIkCtHHeqdYGqSyNEBACgVencTqagXSvb3St4TtEVIzpHezFrYctGbzl5WUWFha4+uqrq9eOHDnCH//xH5OmKc9//vN57GMfu22DnGCCCXY+6jWM3rvy3sBGJslCO3muQOJCbxs41qi2ZSiH+4JhXq/QhiiQVQ2dNoAnpeicU8up21+RcvuxLnfMn+LEskZb6EQwHcHxPphlOLUIS0CCM2h72yAUpArmZuFEAXeX44yBsNwuw024021oNaATB2TasNDLCYOUyEAcQT8DEWjS3LArFgxMQEMKoighbkQI4wSm26EhihOE0LSS0BkvYZG2QAhLJA2BVASBrMK81XVDEKxh7ZQUWG1KNqypys2qsPIYpuzFgi0ZvFe84hXccccdfPGLXwScm/r4xz+eQ4cOIaXkj/7oj/jEJz7BD//wD2/nWCeY4JLDWoXuWymAv9AF4t7IFbUAkChzaKPj8sYqN1StZ+p5wo0ey6MeZvMsTD+WwlDVlCk0gwKakSQ1hkzDYrfPwnKPEwtdTi4tcnh2njsPQ25gdwe0guOH4ODK0JDVsbcL+4GVRTgB9Gvvpbi8mgLuhTN+vdR5iUYXdFfAAHEMU23odiFpgDAhB6baCBUwY3IKBDrPELEiLzSR0hTa0hAWIV0HBCEEaQ4FAZ1EEMdOQFophRLuPip8+yIDStqx94nPZbqSBEtA6dmpYV7UX2chLi7DtyWD97nPfY5XvvKV1f/ve9/7OHLkCF/4whd48IMfzI/+6I/yu7/7uxODN8GGcaEn6wuF+sSs5JAUUlHnrSMW1A2Dx6hRrEthredNnatr7SfDQA7Pa1ytm3890z686HrEhUpUHt5ayir+77oXOXoeUoDBeXVYSyhdLbfWmvl+gcSwuOLCnZE0HDy+xKH5Zea6SxxZ7HL7XS4E2QpgbhmWluEuYHGN854tf9bCArAbaOE8Q5U7w9ZLIe1DlkGcuO+33YQ97SatRkgjCgkDxXIKwlqWMwMDSEKBRhEGFiucB2eQNANYSaEROKJKKC2U90Vh3TUOlFxVgzhuMQLuO6iXJNgagUXWrr37/i4ew7clgzc7O8s97nGP6v9/+Id/4MlPfjKPf/zjAfiZn/kZ3vjGN27PCCe4LLDTClQ3Cq+S75t3bhZ1I2E5nfFYz3WNXptRY+mNhFOoOd0wbrQYeKsGsS4YIBnvva7atqyB84QIKVxT1Hoj1aIWGjX1cyo9kPp51IkV1roO36LsBlcYHHEDzVK/oNDu7++eXGZ+ZZml/gpLaZ+leZhN4TA492wbIHHGzoc054CwByqAlWxoXOMI9sQRnSRmKo5LNqVr0TMoNNoWxJlEErK/YwkDhbQFhREIqxEyYldLsJIFtCJBEARVSDeUFm0EgRyShqy1aMvYRZKUkmjMwqP+Pfs2Qv56j1uU1VH/fi4UtiQtNjMzw7FjxwDo9/t89rOf5RnPeEb1fhAE9Hq9Te+32+3y27/921x33XXs3r0bIQTvec97TtvuZ3/2Z6u8QP3nAQ94wFZOZ4JziI1KC+0Eaa2tyCD58F0xwuPa6L78xC+lXBWW89fBt8MRYwgG/n8vweb35b29utYhrPa66r9HsZnQ4nqoJsM1ZNp8E9V6mNP/lmIoceXb1mBN1UTVmLIlT1HQT3P6ab6qJU8/c9v0BhnHF1P6g5ReVpI8Cs38qRN8+fbD3Hrwe3z77pPcdqzH0nHL7MnS2G0jDHAS5+kdKf/PDCxnkEQu3BkEMBiAEQqjBZmBbn9AVhSESpDEMVNJkzCMaTZjtHWtfSyCKAxWefityN1PwmpHNMFU19KUBs7/eKx1L6wn0ebfqxfvr3fPXGBbB2zRw3viE5/IO97xDh7wgAfwiU98gsFgwE/8xE9U7996662rPMCNYnZ2lje96U1cc801PPzhD+fTn/70mtvGccyf/dmfrXptenp608ec4Nxio57bTmB+bcXL9KGfYGTpWFfzWEttfj04I+G9vvHXZlSCza+4R8OIG6llq6/kt0sd40z7GfUU6oZYl56qyzUNi6GFKF8r85z93BeMm1XH9efUzzSDQcqxbk4zFiwt9zjZTbl7bpmiyPjeHNx5CHrAobM73XUxAI7ivqkAmAeaQJGBrxbIMljK+whlCPqg4watOCZuNNgVS7JcUxQarTVp5vJ2VggaZahSSlnqehbkxpAEEEchWeH68Y0TY98OlRynp3nme+ZCLmY9tmTw3vKWt/CMZzyD5z//+QC8/vWv58EPfjDg4uQf+MAHuO666za93yuvvJKjR49yxRVX8JWvfGVdtZYgCHjZy162leFPcB6xmcnzQufxtjLR+9DPThhL3ZAJOwy1CiHPaMBXGXu5PYuPtRYx4/JzvkB6WCS+mumppECUJJNQOsunLSg0vdwSCFdnZnEsTIQkzzMWlnt879gpuv2MqWbEcq/PocUuR4/0mV+GUytw69mf6obgTXJY/r2CK1kINQwWIBLQaMKehqDAspL1mVsRXNsU5EUM1mCRFEbSKnvbzTRKQhOWPM8pDCz3cxASa5z35xdjPmReD8MLsT0370YWrONq/s43tmTw7nvf+/Kd73yHm2++menpaa699trqvV6vx9vf/nYe/vCHb3q/cRxzxRVXbHh7rTUrKyuTovEdhFGjtRnPbbvzeJs1oNvpZSopEHa18v56Isaj753tWOoe4kauw3Z5deu18fEYFzIdJe34960xDAw0QlGdkynDxIGETAZ0Gm4usAiwpgzlFsz3NL1UM7uSsZINWOguMd8bcMchw8FFuOPsTnXTCACNY232gQ7O4FlgRsL0NLQ6Cm0F1hiMDFFhxFKqUAq0hlYzoBkHhIFECMOgkK4uTyhSbSrjN8g1SVnaEQaKrDBV7s6TUQojzslibSdjy+LRYRiONWqdTmdVePNcodfrMTU1Ra/XY9euXbz0pS/lLW95C+12e83PpGlKmg4z0UtLS+d8nJcbRo3WZozOdk26a42ljnPtTXqDNU7seK3xbeeYRskua41hbCiz1NFfbyynEWFKr0GUHppnYHqyySpCxMj3PGR2esJJSXQpVVGUEgxyO5ywtUFJU+lDGiRJKBFSsbzSZ6FvSPsrLKxkHDoxy2Bljvluxuwc9PvwtWVYPquruzUU5e8TuIk3xhm9XQ1oTMOeBjRlSCMImEmaBFHErkaIQLvtY8m+qZjdnYTC4HrbCZeTtLaUA5OSKAyQCpRyIc5AlR0SbFlmIEFbQbx+qSNw4aMu240tG7ylpSXe8Y538C//8i+cOHGCd77znTz2sY9lbm6O97znPTznOc/hvve973aOtcKVV17Jf/2v/5VHPepRGGP4xCc+wTve8Q6+/vWv8+lPf5ogGH9ab37zmyfs0XOMcZOZ/72hkMc2PlOjY1mvLcy5wnpG3LMHlbBoIzdcVgBnZofWr2Wden7afuyQYTfK4vTvjxtLRSQBokCS6yEjU9YOZCxVMfi4sfnxaTPMMRnrJmQpSuINhjgQwFC9Py2cSoqU0tH0jWG5u8Idx5bIBgMOLqxgjeZUr8+J5YxDR+G7S440cqGQ4HJ5nrW5W8GuGZhuwPfds40UiiSOsAbazQZXzDRRYUwcuPOOwoBmEpFEQdVw1iIJlNPRVFIQS9e4NTBOfcUX2yspHFtTOe8/CTaWuztfz8n5wpYM3qFDh3jKU57CwYMHud/97sctt9xCt9sFYPfu3bzzne/krrvu4o/+6I+2dbAeb37zm1f9/5KXvIT73//+/H//3//HBz/4QV7ykpeM/dyv//qv87rXva76f2lpaZVazARnj9Mms2322tbCuJXo6FjWI3KM7me7Op6vZ8R9iM6RMIavb+Ra1dmhZwpLrTcGKaiM3ejxR6/PWuHK+m8lXase79lupAO5sUPDmxWu87bE0i+sm7ClIlA4DUxrUUqQCMtKajG6oFcYTiwOOHxymZPzs9wyO0+eFSwvQ57B3SfhljNf0nOGGCcnJoC9OMO3Pxrqae6ejomDBCkyisIw00rY024gVOiKyyNFLF0JQZrlrARqFRs3zR17tZAKJSRxFBIGrn+fF9EeEkuGbN+1Qu11nK/n93xhSwbvv/yX/8Ly8jL//u//zv79+9m/f/+q95/73Ofy0Y9+dFsGuFG89rWv5Td/8ze54YYb1jR4cRwTx/F5HdfljvPFvtzISrT+8K41Lr+fcTml7YYfj6/B2wxjbi126GbhJ0LvrdUnQH/eozJefltHehBVGDNUw3MYZaZ61qqpdS6Qgopk4piZqyWr4gC0kRUDMC80mXb6k5mRYFxD0/nlPncfneOWo4e59WDKiROu1m2W1aonFwIJLme3G2gKaHWcwHRjGnZFEDZbBEIiJFgiWklCJ4nQBBitkUFIYaARSrSGfm5JioKVwjLICqSUtJOAOAoBqkVaoCSBkqvup/o9X2mMrhHmrgtFX2iiyXZiSwbvn//5n3nta1/Lgx70IE6dOnXa+/e5z304ePDgWQ9uM2g0GuzZs4e5ubnzetwJdgbqxmwtb+JMxtfaYd3cWoXgZ4O1CT2bP4iUklCcrie51XGMFnHXUQ9xelTjL/NqonbdhTWnece2NGb1kGddoSNQkkIbrDWk+VD30qn1u0L0NNcMcsPxXoa0BSfmB+R5ymJvhe+dmOeuYyl3nnCqKNmmr+j2I6IkDVEWl3dg715QISSRohFH7G833OJKSSIE7SREiYB2IuinliR0hB2AQVbQCAW5DgiUa/XjFxLTiSO7eNSNVN2A1RcZa/UL9B43cE57HV4IbMng9ft99u3bt+b7y8vnPyW8vLzM7OzsuuOa4NLFRlev68HY4QQtt3lV69VDpKAicWy1R9xa+9vIGLyBhNVyZeuFrkZrtqwdXmNbfsbn9KRw4/Kegff0nHF0E//QuFoK37+uvB4+N2WMWZXTCyQsdXscOTUgTbssZYKVlXm+c3KBI3dabuu5OrcxtvmCIcOdb6P8rULn3e1rREzN7GIqksRhk9wWKBQISyNMaEWwkglasQQh6GeavNAURqCSyOXolCQsr20YKIRUNNSwFZCxgLEEanWzXvc9rpYKg9PJS5vpdXgxYUsG70EPehD/+q//ukpPs47/+3//L4985CPPamBrYTAYkOc5nU5n1eu/8zu/g7V2S/V/E+w8nE2rmLVWr2fap5/Yz4UafD3P5Ukco2HYzRAExu0P1j/HUTJKZcjWCfHC6e/VPULnpQ1DlGlRMietoE4CHJZpDD0MjcAYTWGduLP3Gi2CXmbIC9ffLhv0ODqXcuzUCZYKQGsaseIr35vnmwfhzvUv1QVDjJtg9+IWFlFQfl+NhP2tFlPNGBkE9AcZEoGSllwbFvsw00zppQGCAQaFxBDGcSUNFgaKZhxUudxKrUcIjHGLCW1BClOxXv3CZlzkYrVBPD0kfalgSwbvV37lV3j5y1/Owx72MF74whcCjjX23e9+lze+8Y3827/9Gx/60Ie2NKC3v/3tLCwscOSI41P94z/+I4cOOQ2EV7/61czPz/PIRz6Sl770pZWU2Cc/+Uk+9rGPcd11152XkogJzj22wg7znxldvW50nxspJdgqvCcWSlYZiLpXtZGwLKwOvXrZsY2cY91TU5wdGaHOdK0f2+t4Bur078BaS1F6gT7/WCesBMppPWJBC8ugyDk+3+PWQ8c41lvh6PEVZAy6B1kKt53cucYOXHF5BHRimIlBRtAbQD/NWMpyZhqSNFNEgaLVSjAWlrsDAmHpZZYkFgwyg5SOyTsduTCmlE4A2iJoRLL6Tr0xU1Jgq1q7oWe+Xi7uUiOnrIUtdTwH+G//7b/xhje8oWqi6HstSSn53d/9XX7t135tSwO69tprueuuu8a+d8cddzAzM8OrX/1qvvjFL3LkyBG01tz3vvflp37qp/jVX/1VwjDc8LEudPfdCdbGKCNwXLfltUKCazEsN+o17oTao7oIsoc/99Fu4Rsp9vbYSOfqzYZW/bb1UgXfebveycEbtrzQztMpjaIXdkZIdJHTzcBkPW49tMgdJ0/x9dtPcPg4nMgcpb+Hq2XbqfBC0Un5930bsGsv7Jl27XmarSb7mw1aScuxMYViph2Qa+j1BhRGMygsu5oRQgZESUwrEoRRTDuWNGLXRSEJJUqp6nvyncpFvY4SQ2Fl1Saojgtxn1/oOXfLBg/g7rvv5kMf+hDf/e53Mcbwfd/3fTzvec/jPve5z3aO8ZzhQl/8CTaG+kRaZ42NTvz17ce9vhMM2UZRNxD+dPy5j57Hmc63vgAwljUZeN4Y5oVTLQlLjUYvQl33EsYtLHyhuIf/rJKuMN1/pp/psgGpq+ErjJuYs8JwdL6PzlO+d2yJO08c4Zt3rXD7ETiIq2Hb6QiBNq6zeQfYA9z3PrB/ShI1pmjbHBHEZMaypxGRNNrsacVYK8gKCxgKq2gEhsyE3Gt/TLuZVKHjZhyQRAFhWZpQF26ut5Ty97cvPdDGlXiM9g30OF9MzAs952658Bzgmmuu4bWvfe12jWWCCcZirST6WmGYtV7fSph0KzhTOHIjRrcurOwH7s9no7WO/nxdsbYrLg/k6hBqfVxZYUolE8ekdBOoe80Y54HFZcFyPQzp2ZaVZ2HM0EhaTTeTxMoShiHaWEJl6GUGXWhWBqWxNJrZpQGHj81zcGGZhaVTfOtwzpHjcNumv4ELhxznge7GGb6rD7jWP/2BwZolciOZ3hXTDgAVEgoIAsUg1RTG0E4CZtohSwPY31I0GwnTrbgSwvYLhdFFn/9uhaPLlqFjpzs6KCjzqkDtu7K1hdTlgrMyeOBu7sXFxbFtUHbv3n22u59ggrF1Xf719bsIbF8XgM14h3XDOtpgc7NGd61zHx3PuH35860387SM3189HycxFBqcuImq3vc5N6+MIqwmNa7fXBiokiQB/cJWx861K3zuZYbYuuaraW5Is4JcW7TWLK0MODHX5cTiHLefPMXsomXxFBxZgdvPfIl2HLx44T2nIG5DXjIju1qQRAGDNKOPYL/KiVotlIQkiWhJy0wrIokjplsaVMRUQ1VamEI4Yo+2wulyjnjexjoG7FBz1N0bSTj09Dx8bg92frRjO7Elg5fnOW95y1v48z//cw4ePOhWf2OgtT6rwZ0vnEVUd4IdinoftUrPUW69CH4zhqpuWEc/N2p0z2RI18pTriVDNt4Qiqpmb5yx9yQYgS1DpopYSrQxBLhcWxyoSivTMVgF2rq8faadWDO4iTSUTt9SCmiG0MuHRldrSz8zdAcFRZ4xO7/CnbOnuPPESe48apmdh2Xjisa7m/mCdhD2A/eOnZJKKGBQAAV0Ek0TBQqmo5CBlEgpaDVimklEP7fEkaCwEoEgwjDX1UT9jCgMKsMmMfQzqoVGnV0Mq0PW4O6DKFiteHMu6kwvBmzJ4L3yla/kve99L49//ON57nOfe9H3oRtlm02ws7ERb8uz//zfo3qOG92Px5m8w7U8Lu/h1Usd6iEkP8Z6EfZ6rMvRe3VcWNK/XpeVGvUC6+QVa0tiCS5nJ3CU9lAJlHJGzbkOBb3clR1EYUAcCHqZkwLznbOFsGWhtUVrgxGOmaqNKGv0Crq9lJNzSxw6Ncdtx+c4cjzjxJwjpRxlKLJ8MeI+wL13wZ790A6F8+5yi1K48GSnQ1MphJREQUgjidjTiemmxoV/ewXaCrIso5daolChAkWn1WBfJ6QZB6Vo9rBXILgFiO8rWDd09ftp9T16mbVJKLElg/eBD3yAn/7pnx7bjfxixOW2yrnYsRFvy5UBuMk3kOMN2uh+zqZdz1pjOlOpwyi9f9z7o0Xeno3nisblqs/Wf4tSFDpUw9frRJfVxnFYtxgGihCq3J0reoYsLyo6fBxapFREyvWoi5UzkrpkbaeFrZT5LQIlnEmdWx5w15FZvnrnIb5zKGX2pOsGnuHkwC5mHADufwVMz8CuZkSoIloRLA8sSysrdNMBban4vnvdA6VCkkbMdDMgjGISm5NpWOznSAlpJim0pjCWtrLEgauziwJZXd84WE0iGi03WasOc1yo/XLBlgxes9nk8Y9//HaP5YLhcvrCdwrOhjG5kVycEG6CKMu6NrSfrZJa6nVxaxEA1hpznZwy6gmOlf2SJd1fnC4c7fOUUHYLH2Hv+WLvQNoq/6O1RltBIzQEQVB9PitMpXzSz1wZgbCGVAuSwBlLi1Pg1wZyIYhDBYVmJbWkaUqmXZ4PIcnygtm5ZQ7OLXP7iWPccbjge7NOBuxihoLqHmsCWQGxBEHIVBTQLyAKcro5xEpAIFBBSLsRkCQhjRBW+inpoM9yzxLJAm0lcWBpJwHTrZh2EhCEIUkZplBKEYuSIDRyT43z5CtGbS0UXnZvWqW2czlgSwbvpS99KR/96Ef5xV/8xe0ezwSXCc4UylsPGxWkPpNh3K7ODp4c4Pe5kc4Na41lnCc46uWNE46uJjYhCMoTCOWwqFsKyLWb3IaEBVnKk1mWBoaphgFkFRr1Nba+bi4JIA6Gk6UxhkHumo6iFFprFlYyiqJgcSUlNwJduO7bc3OL3HTwEHcfSzl+DO42cLoK78WHpPw9BewCOm0okHRiycog58TyCktdMBqiRDDTbCAQpAWY/oC5BYMn4saRIreKZhJU5JVOI6zUZ0YZsfVSExgfqfB5bF+W4D4jVoW0teGSVVYZxZYM3v/4H/+D66+/nh//8R/n+uuv5+qrrz6tqBHgUY961FkPcIJLE2cK5W0HNiIWXTdMW+3s4PvaeZWRrXqKcGa1Ffd/qUtZ2/e43J4Qrs2ON1CRgqJkVSJceExiWOhbQqHpZZJWZMtedKXwcSVHJTBOo6pqzqpLgko/t0QKBlpQFAUnljKWF7sspQUrvR6agu8dO8mtd1tml+B77Axx5+3ASvl7BpABrMw7Oa9TYoW4FZEGMJAw3YFr93RoRzHLgz6qDz1twBqCIGJXM3Yha+k85SAIaCdBLWJgEVB6/7askxx+x2tFKrzmqhK2YmraWp7vcuMvbMngpWmKMYaPf/zjfPzjHz/t/cptvkhYmpczzkcx9noejw/lXYg86tkYpjo8DdzPHVv1FOvhJ2PFKibmOOZnoU1VlyVrBeg+LEppmLziiUFgrUFbUGVLHisUUwl004BYucaroRLkZUPRKHAq/UXh6uYQsgrfJqFkULgxLfUy+rml1+vRXc44udJnOR1wanmFk0td7r4bvtOD+a1f5h0NDYQRiAZ0MyiMwZwYcHgO9rZg1+6QfXGT1AhWVvpIC2EQoIKA3a2Ifbta7n4RrmN5p+HUVOokFC/LlhuIArEqF+fvGWFNVV9XL0uB4XM37HQB4gI9excKWzJ4119/PX//93/PS17yEh73uMdd9CzNixHbZai2a9Lf6jG26lVtBzbLvNyIlBls7pzGdWH3vfjq4xzH/DQlebIoJ0BReoVpYcsJ0P3vW/i4sKYvPYBBbivvtB1LDE6CyhvwuueaF5p+mlf76ueW3a0AJSX9TLO4kmGM4djsCvO9FeaWl5jv9zh0vODuI/DNrX1FFwWmcQoriYKiD6lxxec2hKldzggemG5jVIDOM3qFpRMq9rQbJHFEqxHSiEN37WVIM4RmHLjFjHCC0uDvkdp9hi3VWRyUhEGuEcItWqyQSGEprKiIW3XG8mafvYtJqWgtbMngffKTn+TVr341//N//s/tHs8EG8R2GaqteiM77Riw+Qdys8zLtf5fS6x6I+NbxZyrrcgtq8NOstY41Y9bIFbl8qSATJdGrPT+lLCurUxpGAWWvDDklH8bQSAMfRPQji1KBa7Ral7Qz7QzdtqNWykF1rEyA5mz2HPECqwhz1IOza6wtLLM7Moyd5xY4a7vwdfOeFUuXjRxiir3jMGo8vuLXF5PGJAWRAD32ytoJC2aUUKoAtpCMZ2E7NvToRGHFNqQG4GUgukkqBYalISfVV3jjWMea2OxYsikrXvyQjrPMBCgy9AnuPumLl6+WZyPxfG5xpYM3tTUFPe97323eywTbALbZUTOh4d1vry4rTyQ63lxo9d4XIlA/f0zGdxx5II6u7NeKO6xXm8/KSWRHPaR82M05ed97i0OBMYKAgxp4cqThRAUxqIkpIUgxLDUN8SBppcWrKQuHeE7Z7ciQS+19FJNJxKs5IKG0Bw71eP43Aonl5c4tbTEqZU+R47BXXPw3Y19BRctNK4bwiCHhoRTA2gVYAPYtwvutb/Bnqlp9rVbtOKQKI4JpJNYayYRu5qK1CiKPCMIJa3QeecBBblxi5W4VEkRDJvqFsaFpG15j2alEICru3PeeVViosS2eWXna+F6LrElg/cLv/AL/PVf/zW/+Iu/OJasMsG5x4UMBa6HCxn22MoDua4XJ9fuAzfu/Uq8VzjW22jIczT0OcruHIU3iD6XZ+3ahtSHL40xbkIUIKSsQlneIwyk08qMlECFjrUXKVhJNVlh6GdDr1JgKfIMYwJMkdPNBKYoONkHq3O6QrHUXeGOU3N859A8J0/AXX1XPH65YBFIDKz0XVjTZrB3D7QSkFHIVNzgnvtn2NVp0MtLpmsU0ooVy30XIlZxzHQzpJsakkCQF9KFrY2h0O77cJ67r78USKGq8HJQLnpCJSsmJoy/R88GO3XO2Qy23AD2Ix/5CI961KN4+ctfviZL83nPe95ZD3CCiwsXMuyxlQdynBe3ntHcjFGt5+Sk8OolNU/SDCewOnmnHu4cklZWy4hV0mlaV90GnCSVRUkJZThTG7DWVMXmUkqSMkForKO4R4GklxnH3rSWRqRoRk7oebEHg7Tg5FyPotS+DAJFL9Nk6TJ3npzlP77T47tLcPfmLv1Fj7T88eUVAtcdYUZDHIdcOz3FrulpGrFTSFHKGaek7GEXKsGggFbk6hljZcnyooouSCmr1klau2LzJJRIOdQ3rRZDCMe6Ldu0Xeye2LnClgzei1/84urvX/3VXx27zYSlufOxXd7Ydgk0bxfGndda5zpqJNcSnh5XT3eanJgUq1hv/looUSOSGCffBVQF5K5fnPtM3aj5XI7EoI1cxbYz1nmU3dRUx2nFopKbCpUgK9wkiTUopQhquaCsMOTaVn3rklBiCWlGkiRyBejL/ZxI5cwupswvLjPb62GLjGYzwaQZt8zOcecd8OXexdG651zD4jokNKfg2plporDJVFPSiFS1eNGlBy4wBEqitHZEFOvypxiNKD0343sJGl3mYYdC0XW2pbXD+spInnnhdymQT7aKLRm8f/mXf9nucVzS2Kk32Fa9sdHzWS8MuNl9bQfGnddWznUVoWSMFNPoPoelFsOaJyVFGZZy9VBCgBDDeihX0yarfFt9oeDZkoV2htFYJxfmVVKsdfVvXtqrMNAIZdUR25EZ3NgiVY7XGtfpAFeb5cKbYJBMN1xDUa+8H4eKQEK/l3JieZFvn5in0DAdw/wifP3Q5efVrYdrgYddCY+41y5mpqaZaicIFWIRVU4UwFJULZQ8fM9Ahaaf2qrW0QqFsBqpAqSUNOOAKJBl+NwVk0ecLkSwHi4F8slWsSWD95SnPGW7x3FJY6feYFv1xkbPZ9x+zkTpX2tfm8W4/Y4bz1bOdbT2zXcG8I0319rnqKF0pAP3YjBCCc+1l6Y6vRlrlZMrjynLhqpOHWVIKElqqhkVocHaMpdnq15qXpZMSSe7ppSosS6dx1gYXY1xkOYcmR8wt7zALSfmOXgHHMoc5X5h45fxksMVuFDmAu672wM8aAZ+4P4Nrj5wBXump4hDSRyFJJFy979x4cpAwnzfqdcMCphuhkwpWbb/sWXo2pJr58vHkZPHU0q6hrwSR2yR7vuX5T0TbdDYwfB+HpWxuxxw1v3wJjgzdkKYbxy2moQePZ9x+/GTvpdCWqudzVrXZjQPsZYXOM5gjhvPRs911ICu6nZQOyffdqjeQXq4E2dEvOcksKUXBla4iUsIUYkr65ItWSel+BBYYep5PFciMNRFrJ2bLx/Qmsx3TSi1L+NAgHAmNw5KhZYyNJYVrotBoZ1MmDOwjua+uJJycnae75xYYvYYfC1zDU4vZ0jA4CbOA8C9GvDA+4Y89tqrkEGTqaZippPQjmV1PXXh1FTSzLKUCqzW9DOLKFs2CatZHliSAKLQhZPjQBApQRAIAqkQUhEFkrz0ztMCmpGlzujdKM4kaH4pY0MG76lPfSpSSj75yU8SBAE/8iM/csbPCCH41Kc+ddYDvBRwKbCb6tjI+XhD5lHvw1V/SNfaV91gVl4Wp297psXEZkOma7E2vZSTNqtLBTCna4Fq6wyQtq7INy3DTZmGOPS1dm5/Th1j9WKgXq7gdTOFD4mWhteftwsjA6WXVxSaQW5Kj0HQimVZiOyYo1Eg0dZ5doUpWwBJwcpA0+/3OTw3AGsQpuDQfJfvHLybW26HL1zmSTqFK0NQOKPfAq6IXL7unp0my5nkylZApxkipWQlF1gDqYbFlZRWA4Q1NKOQolDEobundrVCMl0Sl4BGpHA+uqiIK/WFVYjzDL1AwNlgpy7EzyU2ZPB8aMXDGHPGyWPSVPXyxmldAMoaofXuinHkFxj+Pa6n3WaLx88EKYbtd0QptOvHVAnuWlPLtw09Mh++9O+H5QG9kRptU7SWvJq/XuBa9djClGxLWzayHY7Fy4rl2hnJ3iBjaWBIAmglYSkPJgkDF1ob5MNcUlTW5xnjCs3vOrrAXfPL2KLHfG/Awdk+3/oefOfMl+2SQ4uhTmaC63NncC2MujjvTmvY3QJEwP52SJRE5AaUBUXBUj9zNY7KIlVAMwxoxCHYEKWUY+kiaakCK0NakSAKg1Vtm/zzUv0tJEl48dTg7jRsyOB9+tOfXvf/CSZYC+tpZq5FfnFh0NKgjMgh+XyYNzhnWnitt4pdi4XpPadcW+JQVpOCZzZaC3Eoqx5yfh/1HnO+w3RexkGFcGr3fhw+xDtuPFiDLuWgoFbCgC9hEKVkmMv+pVnOUr8o5aQUjUigraCVhAipyAtNWhSu04EZHtuHLue7KaeW+hyaX+Q7R49y7CTMn4Cbcbmqyw17cZ6cN3gh0Ard31nuis0V0NdwqgupHTA93SIMXffxQBj6haSZRLRVQKwszUSRhJIwDCv2rTGiDFMHLucXSgxDFi9Q5Yp9aQucvWLK5Ywt5fD+9V//lQc+8IHs27dv7Puzs7PcfPPN/NAP/dBZDW6CC4NzwZxcL883Sn6pv19nfa4iZsjVXttGyw7WO77HqJH03pQxTsPEK1mM5vlGoxo+9+cYdKUgtFndqqdu6J1xdPm0QElnnMp9+fBVYUBKJwKd5trJUpVGdVDATEOynIoqTygFlRE2xjEvvd7iSi9jdmnAibkVFlcWuf3IUb5xs+tRtzT+kl0WmAVioIMzbPcGmi2wOQQ59HE/PSCZg+MLK1ijkTKmEQoKK9nTlqS5JgoDdrVCkjiqvisphDNuxrE3/WLQ4EpPssJ564GSFWNWYMg1ZSPYMqpQljgE0oU+JzgztmTwnvrUp/KXf/mX/ORP/uTY9z/1qU/xkz/5k5M6vIsU54tVuhb5Za0OCt54KOGS9fX3tzLmtdilPudV17I0tsyniKExGT22EIIoELV9O0OYhLIkn5TizhoiZcm1JFRD79AYU4UmRZkYVNK16HEGE9ewtdzWlt6fxKCtpRVJVBAwpYa5T98VwRvfNNcsdvss9nLmF1c4Or/A3XPzHJ5Nue0g3LrRL+8SRMzQo01xbMx7BNDa48gqQQPSAKIl950lBqZ2w65Gm4KAVhKirWBPQxIEAS1jQEhEWQxesXWtJfdGTbo8LngNVceg1caWLZnK+6PMIdfzduU65rRGwBOsjS0ZvDPl59I0nUiOXcTYSJnBRrHe59byvtZ63delMUaseStjXsvrHJX7coQZJ9o7mocbp4cJQ3aqKrePvcEyjilZmGGDVvc5Z1CFMdU5BBIojag2LgSZ5mCtLo9XliZEgRuDkBjrism9+PBiHwLhwp/WGI7MLvLdowvMryzT7Q04vLjM3XfDTb1Lp0fdRtEuf0/h8nIhQ4OngCtiiGKQEpIYwgT2hbCrCXECexowMzXD91+5l32d0PWvEy5fp4RFW0uaF0gkSoZgDf3c9RAMAgVYAuUMWzMaqqRYAaLsd+jv3UCWkQIxZGaOawR8JuzUmuDzhQ0bvLvvvps777yz+v+WW27hX//1X0/bbmFhgXe+853c61732pYBTnD+MU5NZK2ygjNhI57XRh/C9fJx9dCi7yyw3rE32uqn2h5H38+1RRpdhQuLWh1Tfex+rEMv0RnrqqhbjrQUKoOXrkmrKFmZIIUmL/N6g8JNboPClRp4A+s8RMfMjJTruB1IQW+g6acFvbSgnQTkec5tRxa57egR7jo5oLcERxYvP68uwhm53cDeAHqugoM+rpFrE0dKiVtlu58VCAVcNRPQmkmIopj9nTbNKKbdStjVSZhqJSjp+ggGwpIZ9/0ZYxkUEAZmyK4s7zPnsTkWbd1zq6upeIz2XAQq8fDN4HxFb3YqhN0gnfKNb3wjb3zjGzfEzlRK8c53vpPrr79+WwZ5rrC0tMT09DSLi4tMTU1d6OFsG7ZzFTfsDjAkkmx0nxWrkZFWNyP7GFWc2Ow5jBplf0v7/8fVyvmwYGEouwkMx+aNkjdGvhzAG7d6bi5SQK22bty4x13D+rUYPYbrc2YqtqgvaYiUm+TiQFQte/wq3+fzXNjVHWe5l7LUy5hf7JPlGScWF7jl4AluuxuODlyu7nJCDOwCDkjYuxuUgpUU0j6kqROC1sABAe1paJcuoAxgb1ty/ysPEKiE/VMNds+0mGoEFAQEwoUuc21phIIgCIjKsHJaWOe9leSVVDux7igMqvslLzS59jqZsrpvRoUI6s/SVp/r7drPVnGh59wNe3gvetGLeMhDHoK1lhe96EW85jWv4Qd/8AdXbSOEoNVq8YhHPIIDBw5s+2An2Bjqq7hxklibQd1T2eznR8ODa7W6Gee5jVuJruWVjWM8us8LBN7g2FXnIAWkJdnDd/ced+yqYwFDwyhLJQxvbKJg9LjDcddDnqPbWOu6V0vhi4ltNVEW2pDlBRaBFi50aawgCSRRqECYqgBelmoqaa6JAhcSK6xEFzlHZpc5MnuSO+ZOcfAozJ5yHt3lFL5McCHKfeXfnY57PY4g68Ny6gxdB5hpgIzhHgdgqpEwlQg0Ec1I0YgT9k212berxe5OgtEFi/2CXlFUKZy+lbSlQAQBgRKoss4xCQW5kcSB8+y18R4elbhApiGR1BZsq+9zGJKczhSxWAsuEuH+vhy9vA0bvPvf//488IEPBODd7343P/RDP8S9733vczawCbaOugE52xDG2dTqjBqytUKS444xbtvR9jtmtR2pNcqkOnEvseUngroaS6iG9WulWS6PN+z0baHyyqR0Mk9ufLqU5Fod6h0dd93o171Dl8/z3cd9fsYwyN2YnfizdC1fSs/Oe3G+bMEaDTgpqiiQWCMcIUYUpKnmzmNdjhw/xhdvW+DmE3Boa1/jRQuvhjJT/l/gDN6gB2EMfeNeixNoCMfEnGnBVAv2z0yzu9WglcTkWtCMQmbaCdPtBGMM/TSnl7nvQcgApWRJWnLtebqDAm0s082QKHBKKbH0YepSpq5w906kqMpQfHQBTlcp8hgX0t/Mc75eauBSx4YN3p49e7juuut41rOexTOf+cw1SxImuPCoT+x1D+98ob7arHtO6xnP0RXqZtRcRr1PX/MGrojc1y9hDVkhKhp3oCS2ZDHqcj+W4Qq72rcdTlLVtRSSKBhuW9clrJ9zfXLxecZcu7EU2mJtGSbGlRX4jzohaIEoQ5gGSWjL8GVhSUJBL3cGNy80RVFwajmlyDNOLfaYXVrm7tnjfPsOyzcXHdX+csIUZfgyAhmCLsBo6LQgt5AHECTQtpA0oRHCPXcpgqRFO1IEgWChn5Fry1QUEQUtGnGAlSHWGhb6hkAYlJS0YkUcqmpBpouclVwQK8ugCGklomzEKoiFk53zix4BhEoR12rv/DM7ivWiLJsxYpdjwbnHhg3e7/zO7/Cxj32MV77ylWRZxqMf/Wie9axn8axnPYtHP/rR53KMFwyXAqPpfN7coyFGv0LdyPXbyApV1VzWKj93hnOrEzt8vVphIBTDHJhFEAgXtvTGz1pbGUFvwOoh2VFjmxeGXDuGZRyqVaHc0SaxfnXva+TqjV59IY+UEllS2oVw5QW6DH0KCk4tWyJRsFgIsrzg5Kkl7ppbYm55mWOnFvnOnXBXBifXvzyXHNo4MkqMm9yKAqZbkLRc2DLPnDdnNMgCrtgLV3baqDh2QtxBQG4sB0/NsdAv2NdKiPftY3eoyI0gwbXvaSgIgohGpEiiAGNdHlWUi5JO4vKurUis8ua1FWUImlW1kr67Rn2x58tzNpJOuJyN2GawYdKKR7/f54YbbuDjH/84H/vYx7j77ru54ooruO666/jxH/9xnv70p9PxQfIdjjMlUMeRKSZYG6PkjHoo5kzXb6OLi81+J3X2pV+B+x5w/r3Rujprhx0JPOlldF/1DuYCyyA31aQWl4ob47b1TV+11qt60jn9zZL5qU01ATbjgEKvLjDupQXdfubCZnnK8VPLfPvoCY7NL3FyFm6Zg8NnvDKXBgSunGAPLk/XwBk712EAmm2Xs4si91qUQFsFFEazklraDcX+Tof9nTbH5+c5PL/C/DwsL4NRsGc3/OAD93Pl3gNMt0KSJGGqEVRSbTA0SMaUCjnCoFE0Q1dMDsPOFnXSSBTIVbltv69xuBQW33ARkVY8Go0Gz372s3n2s58NwDe/+U3+6Z/+iY9//OO85CUvQQjBk5/8ZJ75zGfyrGc9iwc84AHbPujzhcs51r0VjHo99QLyM7HDNrpCXe87GTcp+LnEqbO4HJwQji7uDVShXRG3Nyi+8Hz0OH6MXmXeK754EWZwv/2K3Xu7SkKmHUnBGEM/twjrmnqGSpQ6tQJHe5DVQiEKXD1drl3Ycik3NEJBXmhWBjndlT7H5ha57fhJ7j7S4+hJOJZfHsZuFy43FwJtAY3EKdfI0LEq8wLygXutEcLejiDXkpnEaVie7FpOzkG/qZHFAsdPLvCdu+G21BnGELh2Cg7sD0mSDkIGZahcOj3LKKhaNWljiULXzQBAG0mjXFTVY5MuFC6qhVBe3hMbmWfONhc/gcOmPbz1sLi4yCc/+Uk+9rGP8YlPfIKTJ0/ye7/3e/zar/3adh1iW3GhVxvnE2utEM/XytEzCmF1mHA7MI6tOc4rq+dF6h5ooU31v//cemEkr4gisGXokcqL8+Oo64F6j64ww5zfSqqJAzeBeoML0E6CYclE6elhDSuZxRpNbgSmyJhdHDC72OXm732PG78NX7dO3PhSRwe4j4SpdlmTVoAR0GzCgT0wlUQsFEVZkS2YDmNm2gkUgl7eY25QMOhruitw9LgLXx/YBafmHXu1Vx7nGuCx3wdPut+VHNizh6lOi0BJdncSQiVIooC80M4zF5YwUNViz0cPvJceKFkZQ38v+vITLzK+kdKbC1lOsF240HPutvbDm56e5kUvehEvetGLAPjyl7+8nbuf4CwwboVojKmaSSLlpleOmzGWUjh2pf97OzGa4PceZb2OzYqyzaoYhhWdRyfAOg9MCad3CTiiyholHRZP7a57ka4DtV/x+0lMScizgm7qisKVFI50ErimnoGSYA3LqaEZUmko5kazktmq23U7Niz0DP3eCncem+fowjIn5k5x483wje29nDsWHRzrclcZolSBM1gI16Zn33SLdrNFZzAgLwpCCZkuWFruUZic2a7rI9dbgpXMfTZQ0C9ggAuHauDBAh76QPjBB34/V1+xi+lmiEbRjkAGoWuqW2ZTAyVLRRxX/zjsbWiQZTg8LBnFVai/lAnzjE1jQdj1dTEv93KC7cJZG7xut8v8/PxYubEf+IEfONvdT7BNGBc28XT9wkByBiW49cKFG3kA68zJM+13o8cfPbd6cbun+kNZtB1Q5ViUsCglVwkzK+nMlxCr9znu/ETZUVyWRs+HL7GGvChzecI1fu1mrtM1FnLt8nthMKSeu+4HiljlpAUoWZDEEZkGaQtmlzNmGjkDY1lY6nHz3ce55dhxDh/msmBfSpyRa+EUUAJcSUGYuHKCfe0IayS72zGxFCRKkTRDTi5aZtMeswsaEYA0LtzZiiCOodGDu3vu3lA9uGYKrm7ArjY84l57+b6r9hM3WkSB61weR2G1iPFEIy8JJ4Rw4s7GNW1VSpEXw/swK0wVFQiVIAwUsuxgro1Fa9fDUAoopKQRjffgJimWs8eWDN5gMOCNb3wj73rXuzh16tSa203Eo3cOxuXIXOG0IFZbY1FuxwPoJ4XcDLsHeNSN3HrGtX5udQJAUGpVeq1BW2pw+rXZaG5RlqFWU3u/noOsh6NWy3rZKqwppURKJ/W1kjlhZ/e6IAmdR1evy/Nhy1w7r6GfW5TSCKtZGhhMkXHnCUu3u8i3Dh/jP27rc3gJvrf1S77jsQ/HthzgCChNYP80LrFm3G8FHGgEXDE1xe5GRCpClns95rpdbj+xTD+FbheSxBFXWjHsbjcJpZP+ulX32dOGIoLdbbjmqhnuu6vNFfv2sn86IYkjd+8oWTVhdQIEglBaetmwDZSSgkFuh90vauFo7+WnBUghyI0gKBdJXiwgzV0/wsJKdrcCjFWb0pidYOPYksH7pV/6Jd773vfy3Oc+lx/8wR9k165d2z2uCbaAzebjNqPFN864bccDKAXklZyWXdXduW7kxh1/VV1cuV29l5xUahjaNMaFLMuciW+xUuhh5ssbu6EBHuYafXhUa11pYEaBa+FTz8VI4ejp/UwTSFdQ3IxkZWy9Moo3nv3cYrSb9IQQNBJJWliMAZ2n3HVimVOLc9x8dI5bboPbuHR71M0A1+JsWlb+RMDV0yDa0G44qv50SxBIRRzHrBSGdGWAtinLy12OpxmD1IUpW6Wx2zeTMBUYBjYi1QNU1OL+V0bMT/dQQtCKY+5/xT6mp1rs29WhnQSu8F9DM5LEzpJhy8VWPy8XKtY1dy10aeAKjUFWeTtHhHLfeyui9PQ0WW6r/S+vDJjvaUJpmWkn1ecnODfYksH78Ic/zM///M/zzne+c7vHM8FZ4Fwyuc7V6tIzIl0j7tIQ2NNVS8Ydv36+Hp7eb2vbFJVNE1UfPVErnfBGzxksURnges+6+jFlGcqyCAqtSQtLHABCIcrCYpezVEw3HJkhKwxGWwJpWcmHTWwDYVjoFeRZhkYRByFJkPHdo0vcdewkdxw7yjfvMHxnCU5s/+XfEVDAA8HlMCOIrSOi7AmgmUDchMi6nNv+BMIoIS8sC4MUlRkCCYGVrGjNtLDQgmkBSSLZFUcYFTPf76GCnABFoxmzrznDffeDCptcMQVBY4pmCFOtqOxFaIlCRzZRUlRtqbLCYnTByiBHSokJA6xQKClYSR2zNnerIBqhC2967x/hBL4L4/K9UkCqBY3IbZNEAc1IbmixOsHWsCWDJ4TgUY961HaPZYKzxGYp+zsF3uh5Z8uP/0xG1ocT/d8WURIHSqKKLwsQw84E3jjWSSk+/+d0MU8nFCgxVFxRoaw8SOGvN4Z+BlhHArJGg5C0Y+c+rwxyjHV98ZyCvvM4QyXo5U4/czGHQucMBgOWezkHT5zg3249wfcOwbfP0XXfCdiLy89NNZxnt2sawtC15VEWkK6soJu77+yUhZnc0AgVVktiJWhHChHGTJsIKxQHioyFfkpW5Mz3BkSxZKYR0Ug67GkE7OpMsWuqQTOJCAJX59hKwirkjJAEypb6mEMhb98hfpC7G1VKdy80QkGmBbubThwaKYhCWZGS/D0qcPm6fpo7+bhAMR1b+lox05A0G+GOezYvNWzJ4P3ET/wEN9xwA6985Su3ezwTnAXWMxBn4/1tp7Fca19rkVrWQ525ZqEMGTq2qWUovutX2Y7iv7pcwLPohHBGzHdQqJh41mLM0GAKqfD8Ht/AM83dZNZNbVWaEAcul7OSWdJsKC4shff+fLGyZpAVFNmAxW5Bt7/E7bNzfP2WHl9dcn3aLiUE5c9+XErOizZ3djn25XQzQduCZqAYaIOxBiUCpE6ZHbiO4yookDJifytBypBGqAilQBvIdc6KSAi1xUQJgbAcaHeYbsTs7TRJkoi9002acYCSTvMykJAXuowMGMJADPO+1tJPcxb7uuxjF1SdyIOSeCKlpBUIhAiIcfuql6D4e883ddXWGUiDJQgiZlpqVSH7BOcOGzJ4c3Nzq/7/zd/8TV70ohfxile8gle+8pVcc801Yxu+7t69e1OD6Xa7/P7v/z5f+tKXuPHGG5mfn+fd7343P/uzP3vatt/+9rd57Wtfy+c+9zmiKOJZz3oWf/iHfzjR+FwDdW9oVIV9LUN2tr3wxuXYNrOvcbVHo/usa1lmhUBiMMiqUWs9/+dlm6r/sSBEJQXmV+9SuA7TPn+Xa+NCmIJVRlmbkglqDb1Mk2UZhZUkAUiZUJSceU9f9zk8n9/rF4a0gEFWsLA84I6Tc3zrzlm+dxC+yereZxc7Wji2ZQPHmE1CECG0Iwia0FBw5UxCJ2wilGC2m7KSdZmfgyjRRLhOBtqACBWBEkRBSCRdSNFgCcMQbaEVQqgzkAEzScBVB3Zz5e4WRkaVELcrLXH1dOCK+63RLGeadqwJkqhiMKdFWYQgXD7Wf5c+L+ufnbo8mCojAPVOB1V3C+uawgpraYbBKmLVdmInR3UuFDZk8Pbu3XvaBbPW8rWvfY13vetda35usyzN2dlZ3vSmN3HNNdfw8Ic/nE9/+tNjtzt06BA/9EM/xPT0NL/3e79Ht9vlD/7gD/jGN77BjTfeSBRFmzru5YBxdTxn8vrG1bdtBnUCSF1iyxudjXy+ovyzukNCFZqsJhv3f25cHsXiWHHjRLTr+6jf1trYSgQ6CcUwZCmGxqde3+fLE7LCMMgNvdQgS/moMLIEwhAGAWGiEAL6ma40M9MCer0+c8spB48f49tHT3LLd+BrxaXVuicCrsYZOoOj/Xc6jqg0lbh6ur2dgAGKVtJEW5fDKrIei4swtwBSQTOC2EAzhkGqScKAThyjhGB2pUeuCw5MTzHTTAhkiJ3q0GlGiCDmmr0JzdKAwfD7d+2YnOFqhJbZZdfhYMkYgiCoZOVasSJQkkYoiKNwlZSYk6CzQ499hGDlnwFtLHme0+1rstywZ6rU7ozDsbV3a7XC2ozxOpc5/YsVGzJ4v/Vbv3VeVghXXnklR48e5YorruArX/nKmnV8v/d7v8fKygo33XQT11xzDQCPfexjefrTn8573vMeXvGKV5zzse5EnOmhGM3xnamsoB7224gSxOgD6h90VYabwAk0B7Vt1lOPqHJ5pRFSctgk1Xtw1eeFHYYia4op9XHVPbt6h2lT5vM8jTwqQ5yeOl6NxRqW+4a80K68AEcr7/azssWQy8fFqlzsSVFKTAX0UjeZWqMxxjC/uMyth05x9/wpvn1nn4MnL73O4/txXQs6lN3EWzAzDfv2RszEgiCeYk8zYn5lQG9xgVtPzLE3CWjEDbpGkDQgiCAIobCwpyWIhGRmqs0V7YhABQzyjJXcEiCQIuKqvW1UEKKLnIUVw5VTAoR0tW/CkZoi4eTdFAWD3LXnKURAEkq6GUjhDFmgXNulJAoIg+HqzxsQL0Dg/PhaHzuGnTekgEFZerDQK8g0hEqSG8F0UxGs4dqNGqutGK9J3d7p2JDBe8Mb3nCOh+EQxzFXXHHFGbf70Ic+xI//+I9Xxg7gaU97Gve///35u7/7u8vW4J3poRjN8a2X89vsirIetvGhnGFoxxFB6h3D/UM8jkTij+n0JCVZSbOs1zV5D47qMy4HOFx1D0Oa/rPVw1+u3I2xFMbVyg2MI7wghqFH3ytPSddINi+cN9dPC6e5ad0kNsgKWknI3qkEoUIUmuWBrgxmI1IMssJNfoMBR+b6fPN7d/H17y3xnROu8/ilIgsW4ib/K3FF4x3hjNWuBrSbsHca9jcbhFHI3kZIP9fML55ibuBq7jIboAvLgXZML7fMtAYoYnY3JINCYIRhl3J9/8I8Y5BqphohkQjYPdVk/642YaDopobdU5owiplK3Hfaz1x940KpelMYdx/1c0uMIQ4VSVRKzClRhS2lFBhb1ksW2n33ZXNhL0CgpKzuMR/FcPlcdw+6yIOr0WzFiplWQBCsPf2OpiC2YrxGn2+fn15LzeVywIZJKzfccANPeMITaLVa53I8Z8Thw4c5ceIEj3nMY05777GPfSwf+9jH1vxsmqak6bCKaWlp6ZyM8UJhO1d0o8bzTCGWeqiwjqHnJqqWPN5jE9hVXlzFjGR1o9Z6fVx9v3X493LtDFSuLQG2qstzx3L7CeWwIwJAVopAaytIgiGZpCjlxqz1DAZfbOwm0Pmu8+7AMTAbcVipbATKQnltlvs5C92UwWDAweOzfOG7R/jGd+G7wKUizdDG6U9mOOMdAVPSSX4JCft2w0wnYW8rRosEJQqOrWRoa0i1QIUgjWWmERBISRgkHJiJiFVQNk8VLGaaPE1ZNILdSqJFSLsZsauVMN1JHBkliUhCiZQaawRKDY2HsJq5nutjl6Jcw1XhDIqSgkYUOOalGWpgjuaK3fMgKi3M1YtCWz4XFmOcNxeVx08CSIKoVNoZElTG5bnrEYh6mPRs4ctzCsOG628vNWzY4D3jGc8gCAIe9rCH8eQnP7n62YhHtp04evQo4MKfo7jyyiuZm5sjTVPiOD7t/Te/+c288Y1vPOdjvFDYzlq5UeNZz8f5TgL+dSWGx16vh9dotwFH5qgn/G1lkOrwJQGebOP3VX/PmGF/O8rVtTNqbrxe93I0j1P/TCSH+TljfFjU99JzNVQY7eTDhOtQ7j3AJJRYo1nKLLHICaWgyHOW04Ijs11OdvvMLi5y03fm+dTJS8fQgcvR7VXQbMCgDz0Nu1uwZxeETZiJIQgSGspwZGmRiBXiSJFbhQCksuyNG3SUZbo9RZ4XBEGAkgorFEkQYKxkJpGctHDPECIVoFTIdDti11SL/dMJKghdNwkjiENY6luktWhraUSgUXRiy6BszuqjB6bslFEvIfACCP4ZUFJgSsFw35E+zV3NJYoqZJq7dU7VzHdQOI8uCoNVYXZvVEdz0jDswuExut1Wn/Gg7OyxFkHmciC5bNjg/dmf/Rlf+MIX+NznPsfb3vY23va2tyGE4N73vvcqA3iu2wH1+32AsQYtSZJqm3Hv//qv/zqve93rqv+Xlpa4+uqrz9FILy6MW2nWb3wpHNFgNCE/uvLciNGt5+HqhsggCD27slYegJBVKLLuIVaMOAHWuhAluBwclF6epKqfcpOFZVAyKZWUKFw41JUgQFHOLN4rVcJ5gl4UemGAo8BbyIzLDYWBwiJY6BsKXTCXGzqJYjkTzM/3+fJ37+C7JwacOAj/waVj7K7C1dG5ImvnKU+1YU8EUzNwxVRCJ1Gs6ACp+xxZLsgKiBNDOzNonQOGWEh2t5o0ZMSeRotukGFyTWYk06FCqohYWaQMuXcjIkoSZloRoRLM913eNC0srcBicR3iV7TLzXnWLWW9XKFC2g33fWeFIdMZxlr3+QRMeT/5HK6xjp3rSV9C+BZAZc4Xt4DL8qIKvSspSAIXMWioYQTEo268xi0sAznMA1bPH/asPb0zKStdDiSXDRu866+/nuuvvx5wbMovfOELfPazn+ULX/gCf/M3f8Nf/MVfIIRgz549PPGJT+QHf/AHef3rX7/tA240GgCrQpMeg8Fg1TajiON4rCG8mLHR0oIzrdrGrTTrN77Pw9X3tdWHwtW0lUbPa03WSCWSMcLPpddY9xDr4VYPn3+DYS4FLJl2/w+0JQocSzKJ6r3r3Oo9kMPu1FI4DURjDLooWO4XxMJgrERiKIoCazRRWZLTDOH4wJJIzanFASdmF/jm4UN89msZtxtY3trl2lGYxi1RduFydK0pkAUkM9AuIOlAaKHTDNnTTEhNQGgHzPYNgTGs9CAvDHEC09MdMgOhEIRBwj2mGgRRRDtRrGQGJSGQiumpmKlGQDdz32GrEbO/E7DQN0w3NBoXYswKU7VrCpVARspN8oETChdCEkh383iCURJKMu3qJjPtjY2o+iRq40KysrrP3L01KCy6KFjqF+6+UdKFXsuQZRyuLtOqe3V1Izf6HLm/T3+wzoeO5uVActlS4fnevXt5znOew3Oe8xzAGZ8vf/nLfP7zn+cjH/kI//AP/8A//uM/nhOD50OZPrRZx9GjR9m9e/clZ9TWw5lWZWfKxXmMW2nWb/w6o5J1DKvPP6zlKfpjeW/Rh298yNSvqANZ5uOE6w3n8oZUZADvIVpLRVKp08U9Qcafs1M/ETRLxp8X+B0aPFbV7gljSI2r68u1pZu6McggohMrFldSBkU5OSoF1tDPDSE5i90Bh2eX+cbBg3zp6wX/seVvd2fhnrh6ugJHTmlJmGm6MoN2LFnKDJEEFUg6geRQt08iLUsrGcSCKIA9+xSBkMw0m7SDEKRFILmq02Bq2jEsjYWWdb3mJIbpdsPVNir3Pcw0JEYEtKKcpYEkloY4cPdXqFz7JRd+FzQjF+LEmipcHZV9CAWWlhAk5QLHi43LUq3HGbgy5G5d+N0JETimbi91IU1jBaF1AtWwOmQ4tpZVbt54nY9w4+UgTn3W7YFuv/12Pv/5z/O5z32Oz3/+89xyyy1IKXnIQx6yHeM7Dfe4xz3Yt28fX/nKV05778Ybb+QRj3jEOTnuTsVGSgvqbK+1DKQQYlXYZJQUMsqoXEvXMte2KtL2D+a4YwWyXkZAOT43wVhr0Zaqr5wzoGKV9ycFVRjSn2N9yHLkeEKqquGqNJa8sAyyAnDn6ouRvffYy5wxTMtwqCOZl0oquqCf6bLI3SlxpBn00oLjs6f49vE5Dh1e5t8POwbmxY5dwPcpCNoQSxhkTvqrHcEVeyUdaTiVG5TjCCGtZUXDdDOksBFNMSAJImgKrmpHLBeCXY2YXc0mjUZElmuCQFW5sSSUJFFMVhiWB9otcKyi0wzY1QaD6z2Xoeg0VMmqdN+vv7d6mfuucuPb8EiyvMBYKDCEKqxaSDmGr6v/s8aQVzk0X1ju7l/f9DcvtAuXC0NSzqBTDYUKQtfoVQwtXj1iUpUt2M0brcsh3Hg+sCmDp7Xmpptu4vOf/3z1c+LECTqdDo973ON40YtexBOf+EQe//jH0+l0ztWYef7zn8973/teDh48WOXgPvWpT3Hrrbfy2te+9pwddydirVXZWv3rRg1gnXE5TgXFe3a+aaoL9Z1+wLrhtbXXPDXfmCHjUghRhTW1FSO5QlF5beA8wDjwZQjD/RXGVqt0vxrXFrworz+OZ9JFanh8gEKIqiShMJJmZAmkqNq19PoDVnJBKxIkcUS74drFKDRHF3OEzl1Nl3K5wqWFRe6YXeDz/3GCW+fg7u37ii8IBK5NTwcn7oyFTuA6FhRNmOrATCukETc4utxjcVAQKOf5NaOYpjREMmRXaCFu0Wk1mEkCVoqQezQEKmqwbyrCIDlxaonlvmZ3S9CIQ+JQMdMM6KaGUOX0ctjdVgjpWvX4hqsdZSq2JMJpVwrhJb/c4sl1rKgtkHDems/R5YV2RKlSIswbPW1cmJNV+TdbhU6NFYRBwFQSVTJj4xaf/jUfajcWMHZTMnq+phVOX4hOsDls2OA99alP5ctf/jL9fp973/vePPGJT+S3f/u3edKTnsRDHvKQbXOz3/72t7OwsMCRI0cA+Md//EcOHToEwKtf/Wqmp6f5jd/4DT7wgQ/w1Kc+lV/+5V+uJMke+tCH8nM/93PbMo6LHWslxtdTXPGoU7F9LZopuxDIMexLGBpeKeRpxzLWEUf8xwLlDFFWkkoqZqdwk5QUvpfdUOfSGGfQvFH2x9RmGGH1Pci8sQukez8KROUBejUVIRxTbyVzKh5SunGnhet1tpS6iTK2pTehLQrNwsAgbcF839KKBXlh6XaX+epdh/jazT0+u7LNX+QFwF7gnhJmdoMpQAuXn+y0IGop7tVuYoxgkPVZWl4hHGikBathpgO7pzoE2tBsNbBWcs2uDnEjJgwUSTqgnyv2tgKaSeQWNlKRRBLNcHJPC0srVgyUYrplQQYVkxJ8Ts3VtQ3vNVGWtwyFBxCOCFUYQRLaynPX2pWdFNoMy1jUMErgDWTgF0jlveU70geBJFKuRMWPucocjyw2h4vHYU4QNpdfH2UnT7A1CDuuVfkYSCkJgoAXv/jFPO95z+OJT3wiBw4c2PYBXXvttdx11/hA0B133MG1114LwLe+9S1e97rXrdLSfOtb37qpMS0tLTE9Pc3i4iJTU1PbMfwdg/Uepo3KFvkHfLVG4JlVV/wx6p6hMaYiA8ShWpWz8/v2xgpWr2Qr4d266gmn1/8Z47oVSEFZ5CvBuhxcXrg+dv51gWUldYXIuXG5veV+zlw3Q2CJA1F1Rze4Gaqwkqy3xOF5Q2CWKUTMykqXbx8+wue/dfF3NdiFy9M1O7C7CVHivLvUQDuGHNibgIoTYqUYFBYwpAamQoVQAY1A0E6aWJ1REJIEMNWa5h57m0gBp5Y1YWBdXq7sPJEO+mgZs6cpCKO46kDQiMPTwuv+Hiy0YSXVSAFx6EgifoGmta4WalEgq8/49+tNfgdZgcVpZEZhgDFOJk7guhlEZUIuzXV1f4ZKDHsuSlkrZXGkGW8U/eLM399+OylWl0CMbjeKS6lc4ELPuRv28D784Q9XYcyXvvSl5HleeXpPetKTeOITn8hDH/rQsx7QnXfeuaHtHvzgB/PJT37yrI93sWO97gNrhTq98bBiqIQyblspnJfjGYt1Oa61jlsPjxo77E8HZZjSDA1oUbHWXKjJ07FHozayzAn6sfgQkTtPF35z/0qiYGgYfU5QGyclFUg3EUXStf8JJKSFJAoEvdwwt1Kw2Ne0IjfZYp3+ZZbn9FJNrAyHT/UpdM7xlR7F4BTfuL3LV07Cann1iwu7ccoobQHtvTDdgqt2xdggoJFEKCyZEfS6XXIp6QQh+6Y7pEXGXK9gfyyIgoRQBQQKpIoYpJBrQRQEzLQjhAoptKbVcN5WJ1Fk2pUNxHHCgZlGxWx00QBnUMYVaXvD5ZVMPIMy17Za4BTaoLUmLRTtWBKooGr/ZEsRhMJAI1KVd+jIVF4fVVev+VCnlI64opRc1TGjInOVqEdI/HuhEtV7/t6tL9bgzApJXkXIG9pLyRCeL2zYw6sjTVNuvPFGvvCFL/D5z3+eL3zhC8zNzTE9Pc3jHve4ygD+6I/+6LkY87bhQq82zoSN3ND1h22cfuTo57y35Fer/metY/r9++39arQeWhz1xoDKsxPY6uFcJdVVC9HUxzDK9sQO8zSjBl2KYa5vlBXqOxlEimoCFELQLlkG/UyjtSbLC9JckxWGNE1Z6FuUMDTisCLHCCEoioKT8z0OnTjOt47Nc/Ru+GYGF7NWz25cLd1ME6b2wHQH2nFMHIRMtxs0rWUp12BywjAks5Y0zUGF3GumTRLG9AYDciS7mxHNRoM002hr6KUDCquYaURcubdDGIYIk7OcCTqxYKqVOG3S1NKJBXEc04pVpXTiv2vvYdWNXGFAWM2gcE1Wo7LjgBfyNsaJBGSFkwuLAlcvaY3z5n1j1rpB8veM9+R0mSMOlHSeqFkd6RhVAPIs36qNVOnR1WXuxkUv/LltxHD5Oj9/XcY9+zsdF3rO3ZLBG4dbbrmFz33uc7z73e/mi1/8YjVJ7GRc6It/Jmzkhh4Xnhz3kNW39x7euBDl6DH9/ldJdMnTwzWj4xk1iH51Wn/dvzfaYsX/lmJYOGzsMF8yLkzkySngVtN1Q+gnJj8hZYVb/XdTNzkudvssDQy2SEmSBKMLNIpAuAlTCcvcUp+b7zrMTbfP862jFzcpZQr4PqDZgjhxubnpKUEkFI0kZioOiKMGuS4Y5JpeUbC74ToTDLShEUiSuMXeVkyvsEgErTig2Upoxc5j6vYGpIVgpilpNRuESlQLCG0FU42gUidxHeMFCFczVydWeZauJ5eAuw+qgnJcSNNHIFbdZyWZJVKAcKoq/nkIlKwWZUCVx/PPh1clcTJlq4vN/fY+8rFe6mC0QfHZeGOjWpgXo4d3oefcsypLqLM2fVnCiRMnAMb2x5tgcxjH+hrFaDiyTlIZlejy249jiK1VRzeUA5OVdBiMlw5bpdYiVmsAutVuKcdV5sR8Pq0eqhEM6d+OBUnlqTmjZv3ASs7dULHF1Ag2kXKCva7NpnQ085L8YnTB/EqBwrXrWVzJyAuD1YY4div7prIs9Az9Xp+lQcGxUye58bZ5vnj84vXq2sAVwL33QqMJUQMCA0kCxkAUB1zRmSIrMrqFoRh0yVQMtiA3EXEcsa8RglTMJCFCBkzFjuXaSBTTzZBOw7Es20ng2u8EknYS0C8ErdD1KvTlA+Am7qmGWNUwNVASTwHJtEWVxseHOd096cQElHB9EF1ubVjy4khWsupkL3HGs/LIjGGQFZWxjUMF1jX7DSUIqWgGvvSlXECWPE8fhh8lpYxirWdtsxg+V671VX3/kxKFzWFTBm95ebkKY37uc5/jxhtvpN/vY62l0+nw+Mc/vpIYe/zjH3+uxnzZYCs3tBSrJbpGMW5VWPcKGeMVVvu1qw3d6L7qzNDR4tq6ckoYDFfG1tiyUapTNfGsTPAST5JAlflAH1ZlGE7yE4r38LRn0wlnUItSx8uTZnSRc6qbk+c5hXE5on2dgCMLBXHoDGArUSwPNIP+gG8ePMhdc11uvxW+A/Q293XsCETA/YEDB2BPA0zsFkMzrRaNAKwMWFzukgOZzimkQBWaBQ3TwiKCiHYS0lIhnWaDMFA0m7FTKSmMI/3Eipl2Uhbhu9ChEC5HZpBMJQJbCjYXhkpMAKhKS0I5ZNIqMVzwWFyJgC3LDLJCDz08MWTgFqa8d4WsQp++TCUv1VRkacCyYpjrA0kYlIt0Yat2P/WSGQslQ9me9hyca9QlzrbDgF7O2LDBe+QjH8k3v/lNN3FYy1VXXcWznvWsysA9/OEPv2xbTuwUbCTEUSX9SxFoUfPEjIVArNap9FhVmF6uvr2RNLj3PD27roriwzChtBRWEkrhxSsqz86z20IlKMr/La4AWUlJoYf5GyvcdtY6Q+kZb6ZUwhjmf8rQk7CkhVPGcCzBlG4/Iy0snaRUSNGK/dOSQR5QaMPs0oCFxS63HjvOZ77c5Wbj+rldjLgCuE8M++4B18wEZEahTUFhDLuaCU1pmB/kLA40e5QgQ3GPZsCdSymtQGKkoJMkJEFMp9lgeqrJTCtCqrJ/XD8jN4J22XNZYuimuioRcHqSohJPTguLEI6b7xsCL6fOGBVWIspFi/fYLBJh3fZhGZLOtXb3lBKEgYskGetk6gpd1l6W4ceiFgIf5N67LIvRlSDXgjgYFpj7koGqfhRW1dj5RZcnmIxq0I7r77gdoUdfZ6qkPStDezGGQbcTGzZ4aZpy/fXXVwbu3ve+97kc1wRbwCoPa4172THRhkl6IXzhrvMK19tH/T2/L28kfWsfr4ri950XXitT0ogU1g7r9LLCUBg37flidCGckoYUzhtMpDuY9+ACDLmWlYfglF2GyvOe6RkqiZSCVAvSvKCXFmR5wXI/p5/mZdG6Y9+1Y0ePj0zGwsIK3zp0mO/ctcx3jjiv7mJEC7gWOLALGm1oSJgbFLQjaDZaRMoiwwhDgQgknaRPhqItQYUJ02HBSRNhiwwh2zRCRafTZHcnoRm7NjqRAmNc6DIoWyYV1pE8DK4kJPRlIJ6cJAy5dgYxUs7CJIEh05YksBRalKFNZ3kC5TQufVgzVG4RI4VbRHnjE8rhfY2QCOHuLScobssFlEVbSaTc/RgGilaNgOIX7M4orK7pNNZWtXiy7JkIqxeQddZlXY1oI8/leqh3bdjqPjzOdiwXOzZs8G6++eZzOY4JtgFr5fxGV3VeBLqi7zMMY66nyj66fx86da8NmWrGehbo8PgWVpEEEK6eyRgXbqoXnUfKGUMhXGH3UP3F0k0tSugynCkrpqYPhfoCcnB5Q6+ZaYyhlxau7q6wxEGZA1LWNfjMMw4eOckX7zjE179V8NWLtCPrHuABbdgzDTYALIQhmACyHOIQ9kURUhSkaU6W9cgsYAUzkcCqEG0NcRQzg0A2Eu4x0yGJQ2baCdPNEIQzaAZLpxlj+powoPS6C5SwxKEgUGH1nXjyiVKKqu+p8LlWRVM5gomo1X36iEGkXEmKz98FQUBLufddI15/77l6S20FgTBIITD4+768362h0FTqKD5fXS+5qcp2rK1ydYVxxfCqLGdQstbbsfZMjP72f58pF+8xzgOrP7P+umzVS9vMWC5FbMjg9Xo9ms3mlg5wNp+dYHNYK+c3uqrz21lLjeU4lFZaLwl/urJ7aSRreUNbGjvPrPTsPE9M8OMJlCQKBUpqepkhUhqUIgpcYXphSmMWONJJrkGiWewbWpGomobZkmzgKe1Yw+LAVCr2jUhRaEOoBMu5ZFdb0s8tNndeny5y7jg6yz9/+Qg3zcP8Nn0f5xPfD7QlHNgHu3dBMxH0UstA48gXQtIOLXEQ0UlCCkKEFqzogkhCVGgyGzi1EQSdZoOpRsJMJyaKE2YakjAKnNESPnRnAFV1FC8MrvdFmfNyYWhDHLpu8d64xIGowuHaiop9a0pJr0AYMiNrcnCu7s3aUgrMuNVIULKIXY868NJf4M47CQVKqoqt6UOs1gwZyjA0rD4M7/bgQuT+mRClcU4LiAJb5gu9GotdxZ4cxWZy8Wt5YPV9VKU/W/DSLneiy4YM3tVXX80v//Iv8wu/8AtjG6+Ow+HDh3nnO9/JO97xDmZnZ89qkBOcHeqrutPKGMow4tl0QR59iNxENjxGIB1JoNIEFBJrhxONnywGBTSEIdeiKifwuUGBJZSWXuH0LX3Y07f2KQqzqt7PJ/qFKAuUyzxhKzJIFRDKjGNzA04uLnLH8eN85Rs5X9rZVTRj0QDuBdzrgFNFCRLoFSBSJywQKkujEbE7biKDiFYUkFsBJifLDY0IBoUgjgOaYQhWEEcx+3e3EELQasQEwlBYSa4tjagM/ZULDFkyIYUQxMLSzxxLSJah6bzQFJkr+k+iwHl1gURKMyx3qZFUlIRMOzm3fg5taTDGGVOs605Qabn63nTW5WzTwn3XaeGEnVdSSzOS1ThdGLz8aK1ovbACwdCAeEamtdSMqbuX48BHFNy4vHF3ZKrTsVlvbCMe2OXupZ0NNmTw/s//+T+84Q1v4E1vehNPetKTeNrTnsajHvUo7n3ve7Nr1y6stczPz3PHHXfwla98hRtuuIEvfvGL3O9+9+Md73jHuT6HCc6A0dVhnbRypi7IHpt5cN2K2P3tFqMuJGnKiSVUEhgyQ0MlyKwglGXpgrIIKVFCYGtCv0JQhiIVDVmy7IqiJDtocuO8OmE1qRY0AkteBBUjz59HmuV0l1f47tHjfP4bc3x7Hk5vNrVzMY2rpWsCnRhmWhA3IC/cjwV6BsLY0o5D9renmEqaKOlEt7XWZEiktIRBg04SIKVAyYB2HLFnpkkcx8w0JKlRFEXhwsdSEoeqDDGbVao4PnfWbqghWUkbtHbhPylcSFsJF8b2HpUUTsFEGypPKQmgnw/vTWoMXE+I8sQlXYa6Bz4sLhUN6UoVsC5s3SzDn6LkX/rwqrWO0CQF5eIACj2snbP4hsPDGtdMO2KOlgES52X6UH29obHHZnNm6ykk1Z+/y9lLOxtsuPDcGMM//MM/8J73vIdPfOITZFk2tg4riiKe8YxncP311/Oc5zxnRzM3L3QR5PmGL4StJ+M3qtBQL0j3nhUM2Wj1IltfsO4NqRCCQVZUtXZRGFTjKUpVemOH9Xc+51M/rj/mIDeripi7/YxCu8nVNfp0heUCt22kYKWf0k0NgTD004L5bo/vHDrMF76W8tUN3f07B/uB+7Rg7y5XNK4EpDk0E2jFEqlCQiFdXs5Y4jDkQCehFTeQSqJRhMLSHaR005zpRsS+Tofd0wlWKJqRJEkSphrB8FqWvekakauvM8iqi7yHVyXxOpd1D8R79/5+q9+Ddc1Tr13qC81taZyAis0bBqrWnNeuUjep5/5W+im9HKYSSSOJXYi8NJih8qxNs4ohbCwuB1jec3GoqnPyKizgjhOHq0Olfp6re1/+udjIQvFM250vVZVzzeK80HPuhkkrUkqe+9zn8tznPpc0Tbnpppu45ZZbOHXqFAB79uzhAQ94AI9+9KMvqwasOxnj6uTcpDOU5too6g+y89aG+w+VeyCH+oayLM6tMetKSrp/bp2yBSX1XNQILkOCQV3aS0pXEp+EJaHFGvLCdR0fFNCKBFI5VRQJLPQ0RVGwMoD+oGAwyFnq91nsLXHTrbP82yE4ue1X/NxhCjgAXNWBfVdAI4apIESrgMBqkCH7p9tMBYqFTJMOVuhbmEkShAwZ5BpdaPY0BEnUoBlF7Cm9l3Y7cQorzajq1h2HqmLCejarRTAoXHcJawV56Tk7hmNt8ePD5FqDkFWIe5CbqujcWMdkrCTijKhyeh5e8cSTS6yw1aLJhyP9/eeEwUUlKadRNGLXSkGVG/rwpLUup+kWZsM8njZDqbr6gtBHLHxzWV/GgGcXl/d0naU5mi8/E87kCdYXmba27XYbpkudxbklpZU4jnniE5/IE5/4xO0ezwSbxKjc0Kr3Rm7eitYsN180W6/D82oT2q5+yN1DCV4Mwj+QfhLybDivhuJX577wGIZ6iJ5k4vphu+LmUFqEVCXrU1JYkCogsAYrJI1QsNTXDDINpijFqjVWF8wuLfGduw/y2W/DrWdzwc8z9gL3DaEzBUkTrAErQRiIG00SJcmFpCEFkVIs5c4zEWqaaWlJDWALMgJm4phGo8M99jbcggWBNRorFFlhXFNbKStvra9d3zYlnEeWFoZQCjItq8Jsa10YOgpq3p4cCg14uLKAoW6qKksKPMvW59R81/GiXARpK1C4cOPASLe4qhWESzG8740x9NPcGWGbkxUBiRJAULUVMuWCyucOpYAwkGUBuos2aOOLz2utqBjew67sQYx9nsaxnDfiNZ0pL3d6mmD493Yapks9P3jWHc8nOLc408PiJ5ZxpJPRm3fIzlwthLtR+AfNM9g8NdsZMjBlUp9yMlAMPUGXc1nNjCtKNqdlqCZh/ArdOBJDHMBKVm4rLKGyrrwAt0+Ma94jrWGxJ1gZ5Cz33aQXCs3ySs7xU8f4l2+e4ovHYWET1/5CIgbuAeyP4IqrXDmBkZDnrjYtiSOSIHQ6kbmmpyEreiAUuq+JQkWUxEzHIYgEISzNKGHfdFi13TFIFJp+IarQnrYujOkXJt6LUUrSqNVEFtq4nFWZYy20odvPkNLV4UWBIi+NRKAkUUApBeaap3rD58koRfldSynd9ymGwgb+PnUsSUeAqS/ufLi0MKWHKARGRrRChWFYb1o3ki5XLFaFZVWZx6yUTWrfhw+b5qVKjCnzfu4Zc4tBz+ZUI8auLtCwUQb0KCrCF8OQ5rkwTJd6fnBi8HY4zhRiWI90Mu7hq+dP1nsAx2EtAwq1cAvDppng1SjcpBCHw3xfoZ2avWdjes/RWlfIboUjO2Cd9mVeWJCWrFBo7dh6zcjV6fVz5yFEgavBGwxSFpd7zK2scGrxFJ/6Ss5/bPw0LziuxOXqVAiq4dirzQZ0mhENY9FBQFspmnGI0RotXSf2rLBEymCkZKbZIIkSlFQ0QglSMdWKiKPQeb5C0ogk1gqSSFA2kcCUHrfRBb3chYoDFVTkI++lB1B6g6bKrVprCUvD1lBD5qKn70cBZCUT1hsUH8703ryHlJK4VsdZaBfC1qakhdQMmH82lLDVcxBKSEuj7IlP9XpTJdw9FFa6m2JYk1cOI6w9HP6W9oosbkHgPTx//68Oh/rzrEKvY57RceLv4xa4Ph0Bw9+XsmE6V5gYvB2OM4UYpJQbLifwuTf/97gHcD2sZUC9RJiSAqmGO/WvS1F2qvaTkxRo43aUFpaoLDq2lqo5bCzdhIQ1BEFApgtyA5EyZMaiMCz3cga5QRc5mZHsbjp3cWWQ870Tx/js11f4Wh+yzZ3mBUOIKzG43z3cpJ4XkA+c5767mXD1zDQpAdLmLAwylgcDQgGhDADFdCtGqJg9zRBDQCOO2NVWaBGCdfm4QQEtRamS4iS8kkhVEl1DGS5DqCy5ESRiyO6lDOkF0lXheaMQlQzHUmOlppjiVUJsJTFXhSRxJSihtAhfJ+dD32UOV5V5u6wwZHnhit6VoFWOtxJPsG5cjVgO5ezUsL34sNZuaNxcyNSNzZUalN6a9zJHHjp//ztj5F7z0Y3RnLOqvb+etu3ognatBe5WQ42Xu5TYKCYGb4djO0MM1eq1loz32OyD4UM1vsu4quTFDEV5rEE+zJOs2nfJlNNGuklVW4Q1FNrtR0pZtoMRaKMrhl2oXP1dM5b005zuoMAaTW+gaTUEp5YzlpZ73HL3nfzDV3Nu357Lds7RAmaAAwr27oaZKWfk5pZBRa4h60yzSWYVodQspgXdXuokwUJFs5HQihS7W22ajZBOKyEKJEkUVJqT/rtCuNKCZhysnqCl8+zykjUbSMlKZomVo+J7L92Foa0rAREW7W8VIWmU/ezAh7KHhmFITFKEZUlKUXZCyI0gKY0NrCZAZcbXzFGyNl3DXq/VWbUcqiW2nHF2BjgOff5LVCFzv0izCNdXz8jS03MdE6RYrQfrz8ezNT1W62UKpHDv1Y1SPfftw55u+/HdSdYybFudBy51EspmMTF4lwjWC43AeFHb+mc3kmeo79M/rFlhygfaseQKA5RKGKIsGneraFNNXlI6EV/f3DMKLMsDjSqLz9uJ027RxqK1reVvDMLmWATdQQHW0E8Nusg4dGKJI7Mn+erNK/y/i6R/TwvHvJwWjpAShxC34EArojAhiBW6PZdvmuv16DQMURAjpEUoEMKgcVJbnSSi0WpyYCam3UxcbaOGdulRNcq8m9fAtEISSIOQijh0JJVcW5LQLUgCJZhStaar2oeXNYV2ZQRWqIpF6Zm/nnQClMxascpjq7ollNu41k+2KiWpWLyCKuTo20NFyhlUV8ogSm9w9X3uIouGrBh2X4DVRCu/ndPHhCjw5Jh6eJ3K6/Neb/2zAlbpZUrhctjBiCe31rNVz4fXywzWyrNv1VO71Ekom8WWDN6XvvQlHve4x233WCY4C4yu5EabVfr3xZiVnp8kfAdpRzcZwj9sPnyU1TpPu9CWIhSu9sroouyKYEEqtxrH0suGE1qgoNAufKmk01dsRm6bQGgGmTNmeV44AekAkAGB0nQHhjTXbuI1YHTOfG/AV797J1/5Dtxy7i7xtmIPzqubCl2n8U4HggDuMZOQlh6PEop205AVlkFRoLKCUAa0wohgKiRUAZGSTDVbNJOQAzMJURS6VjpC0QnddzvICoylqlMcFJZm5DpP+O9HG1s2Sh3thejVTQDlws1BWTzujY0SFqXUkMLvvRfhCsvr4T4vxWUtleC0b9PjvShVxgwboSXTLve3Su9ViipEWXlqgqpBcV7KfolSV9Xf7s4w+wbIzhL4kGk7ligly/OzVXmCNsOWPPXFnifTDJ+N8Wora+XwzmSI/PPqCTeemLNZT22jnuHlEvrcksF7whOewH3ve19++qd/mp/6qZ/iPve5z3aPa4JNov4A1ckpbjITVdlC/SGts9bS0vtKC2iMtCCpjKkxQ6WJMg+jtUFbS4GlESvywk1Gg9zQSlTJxBNl6BKwmjR3E4333PxEFweCtFAlZRyWB5ookGgDcSToF9qFoAYDsjRnsdvlu8eO8R/fzfiXxQtz3TeLCGfsOsB0DEkIe/bA3nZIQ0qCRpuYjFQk7I5DrBZok5Npy3Qzph3FRGHEjDCIIGJPO2K606rEsyNV5nXLwujCuD5vfgmjtakWIO2SqTIonIINQlWiAf7e8cZOmzJkZx3LMg5ceDkqjZzvIJ7m2jE4q0L0YeG5FaIMRzpCyvA+tFXoz5OYpHD97QLpQn6qbFvlfsvKAOgyJ6dtqdhTE3gOSoKJKRnB9eJ3KaSTQROSWLn9YLwgg0RZUy3yfP7SMzKjWgPbeogTTjdga+XwzmSI/PM87vVzgcsl9LklGZT3ve993O9+9+N3fud3uN/97seTnvQk/viP/5i5ubntHt8EG0S9SLa+Uh4NnRi7WnzWf7aqeRt50LTWpLlGa41vwJkWTp7K1SsNBXb9an+05s4aTVYYZ+SkKhmiEms03dSQ5zm9zNXeCZxAcC8tnGE1bvXfT3PmuylLvYzlbo87jp/iUzffzYdvujiMXQu4BngAcG0DDkxD0oBde+Gq6SYzzSZJo0UrEEih6ISSKxox95xpsqfd4V672kw3O0w3Guxpt2g0OuxqN1Bh7CZyWZI4xNA799+HwBmqUNpq4ROV3pXPv3ovP82dh+061NsqRBmXxZXaujxWpqm+V6tz+pm7T7LCsJK678+304HVaihepWX0/hvW6NVCoeU954XHc+3uj0HmhL8xBWmukZjqGfDF7lXdXHktcj1sJOw6HjhD7VVU0nyosuK93lEhqnEGDYZGuh4J8ee21brXyttl+DyfK++rnkO8lLFhabFxmJ2d5W/+5m/4q7/6K774xS8SRRHXXXcdL3vZy3jOc55DFEXbOdZtx4WWuTlXqHtwhT69MN2vdEcT5j6sFEiqSWOQDyuInQfmJs+K8FBODEK4hq1pMfQOojBAa12VDdQLjRWahQG0Q8NKXna2ttYVkgtDd+B616mSCLCcWgb9PicXu9x29AjfvC3jq92d34F8GkhwHt1MCFPTjpTSimBxANMJzLQTJ0QcWLABzVDQSjq0Y0kcNqvGtlGgCIQlTkL3XQpFGAYIIWglIbGyNJK4VJ0JamxFr2VKZdw8u9IbkSgYqqlUHlotKiCEoJ/mrKRu8eMbugZKVgoq3kAU2oUZ28mw4NvD17j58gE/FotYFYKvRyw8acnnjb3xg6FcWBI6Mk6hTWV4AyWrsLkf2yjxJFCyMu4ASeikznwhurvusloseo9vnAE6X/JfFzMu9Jx7Vgavjttvv52/+qu/4v3vfz+33XYb09PTvOAFL+BnfuZnePKTn7wdh9h2XOiLfzY4U8y9Hoqpa2bWPzOqj1kl1+u5CkxZMGzHKrkoKaredb7A3NPJEZJBmtHPnaeQhNJJSGFYHmi8sn0zcpOmsdBJlMszZQWLKymL3dSdT97neyfn+Nr3TvLNO+G2c3dptw33xBk8cKSLmWm4Yi/sayl01MAOBogoopdq4hAKK2nFLvEWhDG7GwkHplooFRIIjRGBYxEqRacV0UlcOYHWGhWEtGJFEkeu5VGpS+llubyB0WU4UilVGZGi7DDuDYK/P+r3jTa2ygVa64yAN2yBMAy0pBW5zwxy56l7mbIq/Kc1K6muiEuBkrUQ42rdVL8QG9Vp9Ys4740ZYzDIyuD5fKC1tiqCD5SsjKV/H3xB/LDDhl8A1rVgMQWZceemlNu/f6bqKYGzIZZsBJdKju1Cz7nbxtJsNBo0m02SJKluiI985CO8613v4lGPehTvfe97edCDHrRdh7tksNUb+Uwxd7+id8XCw5XoWrU93jj6XIhf8Xr/LtcWWwo0V41XC1fs7MSFFYEwGKvKYl9IM+cR+AnWy4h59p1GMZ1okKqqCSuM6wDQ7Q44erJLmvUIVMCJpS5fve0k/+8grGz+Mp937MLpX7YTIIdoCqZa0Gg20MJ1GiBQRDJABAWpFkwlipk4RiiJUAH3nG7TmWqRRAG9tHDd48tckpSSViNmuhU78k7JjHWyaz4HBkJYwKLL0HMcDDsFeM9PlSolfvJ3jEW7qpluFeoTgmbkqu38oklbRTt2oUTvyfti7lUekBUVGzT0BBRRL42gDDm662PKMUjBKk9RIVAGLKYkg4hVCzjnfclVx3eeHfji8LoB9ExTY0xZzlB6hwEsD8pIRwHtQJS6sVTX2liqHoD+OOfCIF0uObZzjbMyeMvLy3zwgx/k/e9/P5/5zGeQUvJjP/Zj/NZv/RbPfvazkVLy93//97z+9a/n537u5/jSl760XeO+ZLDVG/lMLC8phooRa22zOnE+XLVKKZGmZEGWhtAbLi2GeY2hHBiu4zVDIV0QlYJGNzU0IzDCkmrnESilaIYKgfP6okCWeaGCU104upCx1F/h7lOLoAd878iAfzyy8etzvtHELQ4CXPhyCphpQrvpJMEaEQQNaJg+s30IVcpMs8FMu0FWJISBpBGGNAIn4hzHIXtnWkwngtkVt9CYbobEkZMFQ0iiMHCLS9x30YjcoqIROS8rCUVVtA1uDJXqiBUu3CcAJAHe23Md4B3ZZRiyHnYakAgpCQVk1pFCFIZMC5LAVOLP3pgoaarIgBKW3NqyXEBU7ENtqIwdDPUujQVhLZm2NaMoVjEkfWgxULLSvhQMw/d1ZqMnxFD2UnTjs27RJoahXO/dWqAZQi+HZmArA+e93jQ3aDP0Fv3YfSkDbJ9ndqbnfYKNYUsG7yMf+Qjvf//7+ehHP8pgMOAHfuAH+F//63/xkpe8hD179qza9gUveAHz8/O86lWv2pYBX2qo38gbCVPW3x81kKPvB2ewoPXtlRSI2gPlV9xKCNJimNsw1pIXQ5Yl1Fa1Xs0C5yUmAaxol59zfUF9nk/QKHMiRmtWMosuctLCsjLIKbRhpbvM7cdmueWuFW4/BXed/aU+p5gG2jgNzKlO6c21IEshipxfMR1LTqYGaSFHsquVMJO0SCKJNoIkDJlqh1gZ0kkUrViRWUkr1ugooJMo2o1oFbHIE4fCkmmYBEBJXHHd33XpuTh2oxTDhqmVZqT9/9n782Dd0qu+D/88wx7e4Ux36EndQkIywrFKGNmg/IikOA4usEzFGGFH0HawyyUbpwyRq/hhSBwIjmNh7B9OKiSuuEJQ4kSgBBwgtiHGiYAYSZgAYrAEkmiNPd/pnPMOe3iG3x/refbe59zb3bdv3+7bw1lVt+6957zDfve797OetdZ3GM1Qs07mrFBDVRQmLbx8naJUQtBG2jSj3XTTedeolTkoASlNYcdrMqZjNJrh2pvO9BQntWL1ZP5YWi30lAiFOlmh9T6ik2BBPp6s4CKJ0Q9t+hgZbH9yIpP3z1QMy1zJLDQ6QXXmjWQGwOQWaI7TVIb893OpzF7uGpcvVNxSwvtTf+pP8cADD/DX/tpf4z/4D/4D3vCGNzzt47/sy76MBx988JYO8OUeN9KjfLo25dP9fsq9y6Tup0ugJ3bUSdZJ6QmyLIJWBqMDrVODmkpmG+X3yEkut5X6JAk2+JkFqTJ2ygjKsCgCmz5itcxitp1n3fTE4Ll6uGXTtXz20S/wG7/b8ksv8v5lhfDpDpAF/N4L8MBdwjN0CtwGfAfegNGGg1qxxXB+VnAw3+OuczvUqTKrC421lqow+BDZOsVuFemUZW4YEIUxfZ/ZB1B0KmVelb9nrTUuKasI71EyR97cTFF5LkiVGKNQGKxSqEnLcSpanJ3Dm15scnKi2fbxhFOATaLgU41XraT9J5WbH6r9qKwQuZVO13W+VhUWcWPIPnkidjAeTwwMP/fpOgshDLNKaeuOFaNJCd9oiFHk7HKbdapVqTjZ9owx0odIVahEc2Bo32bPPLieSnA7K7OXyxzvTsYtJbz/+//+v/kjf+SP3PTjv/Irv5Kv/MqvvJW3ekXFzbQpn+nmmQJOpj97Ko+t/Pjeyw0l1dzIiwpRFpSqELkvknqK1iP9AWRXq4kDqrPtxHbGqkgfDbNS0cfI3CiaTgAMTSfzv9W25+rVazxyeMyla4c8/OSWX/oMPHxrp/EFiwXwAILCLCuoqiQLVpcY73G9J5bgFewtFef3djioF2ijmJU1951fsJhVwxxJmYKDuSYqw7btKa0AWQ4WIvjc+4jvQ2qfRdo+typ14qCJWHL+TqwGZUdgSEZhlomzl8EhuY03kLnjmADzd6zSv3UMg/GqC4oyITnrIg7tUkDk69RITcltwpxMWpcpAYoiVYLFpGuQI0uShShcNjeZw2WidwZKDW1EEuo3gXWmqiVaaYwa58haKTwnaTlTAItW2QdvbFXGKNWmC0qEGhKiGTjRJZHTcL3+7K0mrbM53nOPW0p4zybZncXNxzO1LZ7p91ModP7ntF06qFmoSECnxVG24FZLssu8KzVZ2KbzCJ/mNig9MaSU1lCX6A/SvkwCxVGzW0fWnchSXT3uhVCe6GLbznN0tOLjj1/mEw9f4TMPwUdv5eS9gLFAyOO7wL13wd4Mjjs4vAzXNmB0hylhtYGDuSyC9x6c49X7O9x/1wF9NNyzVzKrK5peqtzeR/bmFm00hTWpGhKPP2MMIfrh/SsrdJGMwizlSyKGwLaX3xfWELWiAMoQ6FyuCGXxL4ws1NKqnop6M8wEh7YeDFQCHxWlEXRticclYroy46J/moydF+gp2rLQkd4LN9CH0QldqZPJQCux5MnJOYNGYowExk2bVYE2JarKymfLf+c5Z4hxdF9HrtPSKgqrB/TnKCItVSGkNugwu04goMjw+tP77pnGDM8laZ3N8Z573FLC+5t/828+7e+VUtR1zf3338/b3/52XvWqV93SwZ3Fze0Ip4+Zotmmc4UQx3mIOI2fqubSLj23cbLdSx8Vs3ICHw9xUMSAhPCMCSWY3q80ENO8r0jWKTF42q7n4ctbYvBYa7A6cu244ZHDYz710BV+6eEXvwv5ErHuuWcOyx1YzMBrSQbFjpyPrYMLOxUXFoa9xS77s4Lze/sc7JQsF3N2Z5ZZJRJgftXivFQK88oO57MqRt1IyNWMPC6gqVUY+I8ZbelDTLJyYEKYVHaGWouySE56LgiIRdCZJ8FLkCu7vMCqIQlIZacpbW5Nji3wHNl9INMPtBqTVOazGWvR8eQ1mmOaDKZVp3APR7J49BEfkubqUGLp1EpVZKuqGOVFT+pojpu7Iv2dq8mcWKcc1amINEqUg0IEQkArfeLenApDZ75q1tF8Nknr9L1/Nsd77nFLCe8/+8/+sxO7/mmc/rkxhne/+9380A/90HU8rrN45riZHWEGHvThJEJsCmyAURKsMhE3cZe+kbamVuDi2P4CaV1VBYQgCVJEeifW1smKxbueVSe77sIaVm3A9x1PHPWs12tWvWJZBA43LZ+7esijjx7x/7yIk90e4JB5XQXcs4D9fUkInQcTQBVw3oCp4YHdgvO7B8zrkoPlLgdLiylnnJtrqjSv896zjUbmP1ZjTRzAJCAbl1zpZYWQDAJRanyMQvwAS8PgB5gToAJiQleGkLzhQkQbNbQ+T/so5valHIka9B9zYlBKUSgRkw4hEII4K4xzt6k4tMIomXlJm1SSliEMM7AYx+s1J8NpMsiXV+eh1qO2ZDYAFsmzUZy6smPrNEcGcGUdzWkSy5VdFksY+X8anfmDk4p1PDZF/rbyPZSJ/vlzDnqcUTYV+T1vNmmdtTBvf9xSwvvCF77An/gTf4Iv//Iv59u+7dt4/etfD8AnP/lJ/uv/+r/mN3/zN/nABz7AarXiv/wv/0v+u//uv+O+++7jb/yNv3FbD/6VEDezI8xtHxmwj0kv7zAzXDvrDiqtqRQnFp2cNGFEnlkzEoKz80GmKchjk2hvAj2Q9AfXrScioImmc6ybnsNVQwiR1gdcu+V3r2z5wqNX+Y1Pv7gFnx9AHA0W56DdQl0DWoSeZeGFsoB79mpm1Zzz85loXS4WnNsxVPUMoyIHO9VQSYsmqaJKgtsWx6qJ7NSRaCylHc1Qp/Y32R0e5PsqdaRxspHZ9lL9xSigjhj84GZQFjYlSo0xY2LJ+ptTVf5xQZ60sfPKq0bzXhEpkM8zNW4FBh5mvmZyyztIqUXb+wHQlEnh8vLXOwVYDU3SXs3XJaRkbEc1oBgjlRUkcU74+finYBRr1JCY8ozRSdk2ks456ZKe78EpMGUqE53vzZycQ2RwbZ8S6J9tnL73z0Arzz1uSWnl67/+65nNZvzoj/7oDX//rne9C+ccP/7jPw7AO97xDj71qU/xiU984rkd7W2OO836vx0x3rwTY83UYprKMYXICYWJG92M09eaqtMrpeidHzzVhrlJAgR0XmgLIYpQ8HrbDu+7bnqubQPtZo0Lls3qMr/+yJP8zu/2fLi9Y6ftpuLVwP074kd3bkf4dF2XyPhKkJjLORzMa151cI69uqQsSqzR7OzM2ZkVLOc1IQTmdUlpQGkzevulc7Rqw3DO56Us2nlepqKnccnN29oRoMFom5MBGK2Lg8qK1VCVhbRakxpLVl/JC/P0u59qr05/njl40wooOxRolVqvatwwTQEy0xlv/n2IIlgQERRltjEqjXSD8nvmmF7HGWGa/z+VJBP/REn+SptBFi0/DsZE1bo43BN2qBpPuq5PjzmjMDMy9kbjAxjvn+G9Txkg3wzV6Oni5SBddqfX3FtGaf7AD/zAU/7+3/63/22+67u+a/j/O97xDr7jO77jVt7qLJ4h8uLl4zjLOX0vjLt2PeyS8w4WxgpinNGMld1gSxJk9tM7L20pLcTyzG9qOkfrIs65ASjgfODaxuHalk3bs22u8ZFPPcqHfu/Fi8CcAeeAi4AtYG8J9QJCoditSsyOuDm0LrCoLDuzBReXS87vLrGFRRtDZRWzumKnUpDkrWTRlfOjiIQwLoC1FRRiaaWNmcENWkVWbRykv8oizfISoEiAHyMa0gxec5HSpApKj4nIpladTa3tGMPwvcuGZUwMGaE7rWTchCBu9MkkGWJ2K8/XkXQDcsKRRBVTJTZWU52TY+kRojtcz03NP5siTVXqUBRGBBbyczoPNlFsSjvODKefIVeNWiVHhmRtNFSPqUrOCcYPn4Ph9z6COeUqorUeOYcwHGdue2pOWnY9WxDLGWjlucctJbyqqvjlX/5lvvVbv/WGv89C0jmccyyXy1s7wrO4YeSE4tJuWThY+sRNM71BcruqMJmofLLCU0oWMR/isEj2XlwRxHdOvOny7MRqWcAjAe9FicWoyNHWyU45eFaNo1mvefxow3p7xK88dMgvPAzbO3bWnjoWyM1wL3D/PsQSzs3BGSiAzSrSuZYH9moOdvYwRrNXz9ibl+zuLkTLsSyGBXZeGerSCjk75jaaEi9BpTGMG5RZVQzzJJHdIrlSpMo9kbyzrY8moJVKaNghM6AVzEs9tAtze04qlVEFRGsts7WQ1EbyNcBoVhrVhMaQhKGlSmSQFsvXl2J0z0BLm7J143Un11l21YjD4q6UwvfymrmVOa3kYKy+YKyAsnvCdP6oErDGKDUgKDP3zia6w9CVQFMnr0CZQwYUYhkEo51RPo58TPnvfgJ4mR73yRlgmi1ONpUhjskTGEYGN5vEzkArzz1uKeF90zd9E//Nf/PfcP78ef7KX/krvPa1rwXg05/+NP/tf/vf8j//z//zCWWVD37wg2c6mk8TN9vWmD7OB2nNxKRPmAEjJx4/oM4EaZedyXWa0YQgPmH55hRou2Od5kLGGGmTOTEhLdOMJLtk987LMQSPwXN55SmUZ91Ems7TbLY8erzl8088zi//dsevuefrDD63uAdBX+5bWC6g3IF5BWVtWOBZp8X1wk7F3s55XrW/wBQls7rkwq44jDsfWFRmgMNn2keu1FrnhaMYA2VhsUoBhtqO4BCfvNaApGkKuiqYIQtvTkZd4oSNM1eG76awZpixZamsjPzMwgHiTCGfPc/xctU/tibluLPEllJqIKWDVFEuiKyYi6lSUTpVNOJjl69VPVn0Wzc6chhjhg2BmSA7fdqQ5etySKphvEfEYZ2BbJ5bj3VpT1R0Oh9/+r+AW7J7h8ZokxCaJ7mrJ2aMuVU5cVeXRCqPzc87UQGrcWY4HAtjtZrjuSSxs5nes49bSng/8AM/wOOPP84P/uAP8vf//t8f0JdZwuid73zn0PJsmoY/9If+EF/1VV91+476ZRY329aYPi4m1Bskj7MbPG/qSg4n2ydAUkWJGDX6lmVAgQ+RpSHZvijmBSgthF5FZNv2HG2dKFt4Rx8UKvSsXeT4eMPxtuXhy0/yyUdXfPiz8NjtOFG3ORZI+3IBLLRIgNlCFlKjYG4ttSk4KEoKpVjOl3zJvQfM64KegnkB+4uSACwqMyzggmQc+YyrxrHtEincFswqOySi1kUqAyg9UDiy2n92IuiCxmppBXYeFqVKrt5qAGkAOO8JanQ9yECLGCOeUbYrw/Nz0svXXAhhEKielUYUTjT0SbElO5uL2okkLp8QiVmMQFqDJNNfbuiwAXkzplBoGYomcIsLkdKqE0kjUy2mz5/+ezorC3p0Z5hWT/me2XbyQkYrqlRh5RfK95DRCsNYZUrVlmafyQB3yk89MdPmqas1lSr1MYHHZ5Wsbien75Uaz8ke6Nd//df52Z/9WT772c8C8EVf9EV8zdd8DW9+85tv2wE+n3GnB6g5brXCyzO2pwKhnB5yTy2D8u9FXWUUxiXNdbJeIUroB31SlchE6a0oPbPtRrPW1dbRdz2PHx3x2See4F/+esdvPa9n7tZiiVR1ARF6XtRg52Cs+NTN53KOv+jCAcuq5MLuktJWvOaeJfP5nL7vab3YHJ3fnaGUCDGHlBiyWWrTS7sszzcVkd15SWElMQ4o2VRNZKBH2/Wsu8i8EJX+DLDYndkTnoaDQotS4+ZFjwLgGTyRqSP5WsmLbU4Sud3tvT9hBTWd3+Zra15JBZXteWKMA3Bl5NydlLibXo+5WqqsJOv8uCxOnRHFcBIVSQwDGGecccpnWjVuqGYzeAoYyPU5AeUWfT5Ps9IMn/P0/Tf9WX5u/my58jxNo5i+xjPd07cCQLnR/fxSq/Du9Jr7rCu8zWbDn/2zf5Z3vvOdPPjgg3z5l3/583Fcr6i42bbG9HGn1eUzkGC62zs9H8izujy7yIizysRhPmeNonEC+Q6I7FPrNLNCAAF933N17alNGBZai+PKUU/Xd1w5PuR3H3+Sf/lb4UXpWXceIY7PC6lwlvtQGSGQaw37S8XOYo+dQlNWC87NS+6+cI679yrqqhRUoY6EDmZWZlmzlOCEQhDYtHI+8+KcW3B6MuPRWlOoiWizGqW9ckLoA9Q2ctwKsKV1yX1AnawWIslSJ9FGisJgJ/zJPPOSpEoCp6QqMBG382Ju9Wit4wPj7/L8KiXZXFVaPbY8x4X3JOAjt/XybDCDP6bIz1Ha6/pOBGQuYsR78dmbgj7EzkpBDDS9PN4anZRUxntAK8R6aTLT04xztahkrpY3E1oJYXzalhX07HhvnT7OfP89U/V1KwCUG93PZ5Xds4tnnfDm8zn/4l/8C/74H//jz8fxnMVNRh7S51aPVHjXzwcGQV/GnamPgU3r6HpBVNaFFuAEAj6JwbFqAjuVYttpCh3ZdrIwbPuYgBGG6HvW25bL19b0Xcdx1/Jbn3ucj3wCPnMnTsrTRAWUiO7lFtA97FYwM/DqizCrFxSFpSpK7j/YZXdeo7RhPis5v1NSlkI3MEZjomJHS4IptMyCciITEWXZDHROWoOl1fSpVdn0Qkm40e48RPm3JDtFrUVY+cBIhTUV6c6LX3Ywz23MXOmfSDQT9OBUoDzzAlUUZZ3sC1cYNcwBpUo0pBw1vH6RyfKTai4v7tOZHZzk8uXP3YU4SKLplIQHsAcnq6uTrXwwEdTkvbTWLCp1ogoDBvm6zE+dvp6KAdAYfX2Da9pFMSnBjZXf+JhRiWY8t7JpGb+Hp2tvPttkdaP7+SyeXdzSDO+tb30rH/7wh3n3u999u4/npuLnf/7n+Xf+nX/nhr/78Ic/zL/5b/6bL/AR3Xo8l7ZEHoo/3WsMnnWMMk8Cl5Z5UFXILn/d9AmtJp51s0LRR0OMgVUbBoNRYh6meB65tOLxww2PX3qSx7cNn/1Ux6+s4Oh2nJjbFOcRr7oKMIhiygzYXYqNzz0XNOf3z7E3qyhtyd6s4r6LO5zbqQeghtFKuGxhhNX7aIfzLWALqZQWpcIHaQXPEgeu7T2zwrON+kQLclpVwGQHrzWlFhSlgtQmTSo2k3JCMdJSsrN5bklPMUzT6yO/h6iUjNJcuf2ZJcwGRwFG+gGcpAtk53GAaMRxHEbAxyCrFceuQk5KGSQzTSin53bT4y6tRnlhyWk1glgUYwU6FYwmVdZaZ+pM9m5MLdQAMzvOOaeiz7myM3qsvOV8i/5nPn+nUdG5e5LVY6ZjhNvRdjxdeZ5Vd88+binh/dAP/RBf8zVfw9/4G3+Db/3Wb+X++++/3cd1U/Ht3/7tfMVXfMWJn2XVl5dKPF3r42aT4c0Mr2VXGwdFlsIodmrhlElC60HJgiz6gxqDp3WB9bYbiL2FURytGx69vOLxw6scrhs+/pk1H7v04uLWLRFx5xlS2e1Y+cfuDOo51CUs55p5NeNgVnHfuT1ms4rFrGJnVlCUFZpAQFMY2SzYzMNCMdMC3Ni2Aj21RlCSWivsqYW3zvpcMeCiIGB9GPpS1x17CDIzVdEPMl0KM3D0pnOlafUkCE89JJhhBneiKhmVVPpEOYmRwcl+6rQQErdzCjyZWln1PqY2qxp87qZtSqszaEoW6T6Msl6n+XFwfXvv5HFrqkkS95PEFeM4Y5MN4PizSo8JrNBCKXBBiPohZsqCPqHwknGduWsyEukzfePG96O0bCf/jqP5blYuei6R14IQGSTfzuLZxS0lvC/7si/DOcd73/te3vve94qHV1WdeIxSisPDw9tykE8Vb3vb2/jGb/zG5/U9nu94ul5+XrROa2ReFxNnA63MjYfmUZyjs6JHBk5cOu7w3nN13bOsNE7roVpQRJrOcbiR6s97z7WjNZ984gk+f/mQpoGrT8Avbp7fc/RsY4541O0CO5UYsZ7bkwqgKODi3pxzswW2rKkLy8FywYVzy4FWAKCjY9NDZSO9MsysnMu8gPchqXIoPYBKqrSg9UnUOFrRHvXJNsdFSSjHjaew2ch0vAXzAp8l4EJIU780O0NNYfvypw2jFFyuKjK8Pyv/52tMzF3lTaaeeLmCG+aInLQMmnrp5WPMsmGlIVEYRkBH5nnmNmJun2aT2lxNkiq+KWdu2qp7untj2tLd9p7ehcGbbvoYuHHFmF0OQoyiLzr5bKKBOW4ipsdzul0L1/MHh+8xnCSaP9eYJu6zduatxS0lvHe+850vmhN+fHzMbDbD2lv6KHc0nqmCk13x5MY/NdsYgQGpTZbmG6eH5jGOraeghOvlvLQxu65j20fxXAuKEAObLgCO1VYe0zQtm23LUdPyxPGKz1065DNfgM+v4dEX4kTdZNyNIC/PIWTxixdE+uvuHTBFjbGavbpiOd/hVftLLh7MZTHWhr15gbV2AHe4KMmudZGlCbQJDFEYRdMzzOFksdaURsS2NWFs4U1aeT7IvC+mhBpRw+9V0iDNaMhCi7h3oeMJvpyARhicC6ZraEgWQHWhB9K61XG4NvKcLOT2XJSqdJZQmL2PFISBu5mVeHLVkxPmdC5lRW7lRLKE8XrOxzm0BJWISWs1ooIz+T6E61t1TzXnmt43QWAncr17T+/UOHc8lWSmpO/Tv5tWT4oRdJS7Jvk85Huu91Cq6yvo6evlc/FUSfssXvi4pSzxvve97zYfxq3FX/gLf4HVaoUxhre97W383b/7d/nDf/gPP+Xj27albUcBx6OjOztteqZW5HTRyDdOnLQl84xkuuuc/tt5cTPIN+oIdIm0vee48RAFPDArQDnoXaS2Ivm03W55/MqWpu9o2oYnNxs+98g1fvsh+NgLc4puOs4jVIOZhVjDxQXsHsBubShsibYFu1VBWc64e2fGhYMF53ZnAx+ssIZ5qWldHM6dj5pFBaQ5nfeeVhsqE2mjEcBKmvHldmGMouKR5zYhyGZDpN801hqCj7g4apE2CeIPok2ZjXM3nRrU/3WaB2V1kQzEgNEJPVd3+fchjgljmL1Nro88A+6iyGSJNqckSWIYqtf8eoOAda7ylBqqw2EWpk7OreScnEwGmaA9jZtt1U3nWCOfcGxv6uSAXj2FLmaeqwHjXJrx2CW5aQpOC1/LHx8yivYkSGea1IZzDUO1e1pg+1biZkYXZ/H08dIri4CyLHnnO9/JO97xDi5cuMDHPvYx/t7f+3u87W1v40Mf+tBTUiXe+9738n3f930v8NFeHzeSInqqmO5yNXGo+LLqRIwRpfUJG5/8vIwKJDiUNhAcjdfEIILEhfIcOcWFpSiqaA2962iiot2uefhqx2p9lSfWHY9ePuTaEXzqcfi95/n8PNsoEKrB+XNw4W64OCtwseTiTkVdzgT0URiWVcX5nZKoC+rSUlgzKJPkRUsI15EqJQ+jFc45eiccskVhCMjMpw8KpUEnYnKEYeZl08IcUosQpFVZaUWMBosiRlFfiSEwKuBMtB4JNL0ISiulJ0l1SoJmnLsy2RihEsXgpCD0jeZIVkvFkisaOMkpK41sgLQaE5noSY7HNn3ZG7XiJZGowW3DhzHJ5Hbo090H06Q1rcRyu9TqSJs2JaUxJ4Atpx0TJBmpYZOg1cl7RyvphOTPP90saDVKmp1umebIFWEWfXime/xm46xafO5xy8Tzz33uc/ztv/23+eAHP8gTTzzBT/3UT/H2t7+dS5cu8Tf/5t/kL/yFv/CCcvQ+9alP8aY3vYm3v/3t/OzP/uwNH3OjCu+BBx54wUmQU4j2FIRwMwCVEwTxOBJ188KXZ28hwmrb0TkhPs9Kw/G2JyLOB5VVdEGzXwWOOk30AlpZtx7vPY9cXtE2Wz7+2MM8eej53c/AI8DqeT87NxclY+uyAg5K2D+AL7lHoe2M+cxS2Rn37y+pq4K6rji/LHCqRCuppGZVwe5M2pguiOZrRNF3LX00LEsoyoq26+m8gE2ycWtGR+bq8HR1kxfw7DQAKbEERfCOqESxpC7tIA6d/0RGEnimCmRSdnYryNVGRkNmXlx+/zzPutnRw2kCeK7w8sw3czbze7Quz+/UQGUY2nsxDMeekZ+Qql03kuWn3L1nImIP1IfU9s3JOcuKDZQAJAkbY4b760Z/588xTYDTY5mex/zdgjg95ERWZBTTU5zPadv2xTICutPxkiOeA3zsYx/jbW97GyEE3vKWt/CpT31KVPKBCxcu8C//5b9kvV7zwz/8w7f1YJ8uXv/61/Mn/+Sf5B//43+M936wGplGVVXXgWvuREwH5HBj4upTRd5N+pCRZWOi7P04d8kLUR8UhfFcWTu6rh+UQPqgqC1cXns2bUvXtrR9ZFYqtk3P8bXLPHR4lYce8nzuGB56/k7Hs45zCCjlYgl752C3hm2AqgBVLTi3XIIuuGtZs3+wy96iYlYVEAPRiZ6lQiqodespdWDTiHpMZRVXNoG6ADCcrxKoI4JNcyEBn0g7cwpUyGr4GTQyndflFrQkQ7B2NFfNVeEU8JDbz/n1ZcFM1V0cpeU6l7ln4/NDBEJEqThA658ucusOMkld2niawKYfW5MZ6OIDzIrspyjvN21TSvv2ZDVyuuKx+gZV1dNUL1PwS9bHzI4N3o9iz4W93p9vIKkHkS4bQDMpbsQjnM7OpyuJSjPI6cw1J8opYlaAMWcAkxdb3FLC+87v/E729/f5yEc+glKKu+6668Tv/8Sf+BN84AMfuC0H+GzigQceoOs61uv1i9rfbmzxPEXv/ynALKf5VIN9DyQo9mR+k3anOxUcOlFIIQaqQgAaPgjSMITApg0cHje0LkDo2fQ9n750id/5NHx08+JwN1BIkpsBGtG/XC7hgYtgVEGvejpnWZaG+/aW1NZQVBWLUsAfIYjLQFUYQjRoDde2gdoG1mh6F0FpWg8XFppVBzMrzzNaUetRDURNFvHICBrKLTfvBUSxqBQeqUKyw7hWgJbZXGnN0FrLSSq/7nQmBqOXIfJ0GjdpASbEYfaK8yGmWV2g9+Mc8KmuqanEGCiyo3rnx/ahVaO7g0narNlBXBFTAhtpCUzk0mA6h1aDB11WezmdEE4njpxUpvPAPKMUlRUhwYc4ej1mcM7QlgzS3pd2pWY6KjydbPNmo/fjrHQqZt2l6r33QoPIiXLYbDDON29XvBRlxF6McUsJ7xd/8Rf5nu/5Hi5evMjly5ev+/2rX/1qHn74hWdlPfTQQ9R1/ZKxIrpR7x+u33HmyAujj2FobWXQRY7e+RPv0TuZ19WFpnF6sPCxSlqiru/wvaPvGjad45HDaxweN/zqJ+DFYte7i4BSlkBVSaLbWQgCU1cLZjZSs2CvKnn1uT3uurAn1Q4abRTWWhZ1MVTBzifXgqQoYrQ4PlRlwW6tQVvqyoPK0l16wi1DSM1IJdR5P7QB60II5/l72nZeWp5mXLBVhNLaoXWZidPA0JKLk4q9shldKY/JdIOcVDI9QAoKnWD5I1DJppZnrr5OX1NjIhrdABQiBK0JNE7oHFnGzPmxpaf16KCudZ6RjQvy6QpuKsk1fJ50PKch/PkcaiVJJSfIoS3JSPQutNgmZQ3TXM0NFZoaCfpyLk6SwW+EBs1Jr3Pyvj4kjl9Kvhngkz9b/juqXDGPBPSni9vJtT2LZ45bSnghBObz+VP+/sknn3xeW4dPPvkkFy9ePPGz3/iN3+Cnf/qn+eN//I9fp9D+Yo3TArXT6u1G7Z087A9BWpedi8kmZnz+8CcEeue5tu6IQQRzZ6WhceCDZ9N6FIHDo5ZV03LUNhxtWx691PDwIy+uZHc3sDRw9znYPwfn5pouGmqj2alL6rLirt05VTHj4oEgL1eNx5rAoqooDaxbz7IEow1Wa7adoFNj4rwZIyhNY22qsvWgRJLb45n6YeUB9E48/0DmOUorKstgm1RZxaIuRjK30UNbLsSIitJiG6uz5JQQ/MBX670ZzFSB65JjViZxgSH5hCgk+Sk4SnFj8IRWQgWwaoL6Te3VLkqbOH/207SYEwv9ZI6WI5/b3O7LUmXyu3ytjwd0+prP98L091k1RX6fKROp+kQncWjZ2AXEgSKEIMCjxPnzQRNi5u3duIMyPZ4p2lP0SgMxSjU83WxKVZcrw+uT01PJyXGDx56OZ2r5nsXNxS0lvDe/+c3803/6T/kP/8P/8LrfOef4sR/7sedV3uvf//f/fWazGV/1VV/FXXfdxcc+9jH+4T/8h8znc77/+7//eXvf5xqnL/jpxZ4jt7KeiqZgtJhcThXn803nvMymgvd0LrDetlxbdYQQ2ZlZqVCUZ9v1bFdrrqwavvDE4zzaOkrnubqCDz8Ml16Ac/FMsYtUdBcQN4P9C3B+T/O6g102lFy0kbqcsVNXHOxUlGU5GJMSI7vzQrQwK8um8/Te0zvN/lyx9XoAkMys/F0m6x1rRwK1LIbiMacJ+AgxeBzp7wBWiSqKVYHKiGv4WPGcbBfmdp8LYrOUxZlz5ConJNfy3sOMcQGX6jEAo2iyT9+51lEkzWIQp3GSR15erDnpmDFFCGeh6MGtXCUU5SQJZqBMnsHlueNpftrJdqlUcBoBuYhAQrKYSt55p0nd03nhiXsl5Mp8JMYPsnnp2Aot/LnCCIK0Tq3c3kvy04nfaG8wmwNueD/mmeF0hpil+aaPuxGKNJ/HG93vTyXw/lTxVJzEs3h2cUsJ77u/+7v5uq/7Ov7KX/krvOtd7wLg8ccf51/8i3/B3/7bf5uPf/zj/NAP/dBtPdBpfP3Xfz3/y//yv/CDP/iDHB0dcfHiRb7hG76B7/3e731RS4udvuBPX+zPdOHnlhgDgfikrQzIjdEHadVdXvV0fUBHx9E6EFYNdVVCDFzZeL5w7ZBPXGkJHTz5KPxqzPoSdzbmwH3A3Uu4eLf8TFvYqzSxKLi3rkAX3HuwYDmv0FrT9AEX9SDWjNIsK402NoleexSebW/YqWHTCVlcacPcQusVVrnkTyczqaaXNpkgFYX6sW09fR8geAprCcFyMLeDLNfQ3rTyHKNG+yVrdJIgGz3piEIYL420LrUCpRUxLe5Nr6gLIZLXhcwMc5XhvIA/rNVDZdW6saqTZDuiF9VQ640gk9wqHEjvJlsNhdRO1ClphHR9quEzwMn25BT4kt9nWPw1tE6lCkvmnCDHidKpa6FOJsFcUebkrPWJClLapIL8nBfgo6Y0kcA4t8zgHqn4GDhxmbJxI53R6f04nTHm45HN0vXVZw6VwCqn7/fT/pT5sc+UyG7H/O5sBihxy7SEf/SP/hH/0X/0H3F4eHgC7ru7u8s/+Af/gG/6pm+63cd62+OFhsg+24tu2ibKQ3ClFG3vh8qhKgQ52Dvxpdu2Pb3zHG06DtetkIiDJ2BYbTZYY9k2a55YHfKxLxzy6OfgIQdPPu+f/ubiAvAaDfe/WhaJ3V1LEaGsZsxnNefqioPlLq+6MGN/Zw4xcHntJUlZO2hCllYP8mld7zhuPFrBsrbCSYzjAp+/i7b3sqgGL0hMFSkLmbdlqH2mFATv0FrcsOvSDv52eTaUNRRzIvFBWqiZLpCvgexSIDJgiizBte2kSicGlDbMCjXA8Ae4vBHye/bVs0YPLgeZZJ394HI7tbLj7FBahJN5sR6BL/n6KlMPMmupGi3ef/mcTQEmMF7X01bf6Xbn1LtPKbE5yhuFfKz5cTn0ZM6nkAquNLDpwnBfLSpz4v7Ks7bTm8ipEPYUaWlPs+GfIm5ETXgqbu30eG7FA+/0ebhVIMzteI3bES9JWgLAn/tzf45v+IZv4J//83/Opz71KUIIvO51r+NrvuZr2NnZuZ3H+LKJ6W7uZpJf3j37tBvP7SHRtQxEBV7LvCnPjToX6Fxk3fT0YnIn6ipdx/F2CypydbXm9x475OMPwe++gJ//6WIfUUp5zd1wYR9UaXCtT7JfM84vdtib1yxnFef25uzMinR+NBd3hH6xO7Mi/eWk5Zjl1OrSUhaWtvdpFhUgtYKzwn9uB/dOjG3N4Pcmrb51F9LsJlIWYIxh04uocVb4yACSCANPkhjFSkcL6CFXgnn9qS0DMERpPUl6grBUSgt4wjOgP7O7ATHQ+0R7UFo0OI3BxzBw3korAJRpO1IWPEXwozFsRg2TKqKMvJwCSEKEUp9EVU7J7Cf4cJP53bRyG22LJMHlmV4xAYTkyEkuvVHaKATWrZDgu5jJ5eEENSMDfwbpvVOV2jT5yF8xAWqupxlM79GBA0t+PYbPnR8X4phMT48mbnUOdzvmd2czQInnpLSyWCz4U3/qT92uY3lFxTMNqwduVAzS/IiRGLVwpFJ7RyvYtDKMj8ETY2Tb9jSdw/mINgalNeC4um1Zbbc8uTri4Ud7PvQYXHkBP+9TRW5fLgu4uA8XDmBnVlKVJcwVs7rm/r093vDAAbO6GuYkjYNZKTM4FzU7tThYC7E50nqZg207Py5YafaVeWIwwuhbJ4t150WWyhhDZYVU3juf5NiE1pArtDJ4OhcxifYgQJNET0jvVRohQU8ryX7i7h3RVHY0goURkJJdFmSuJzJxIYFopmorsvjqoY2W23iFUScqshsteNPOQX4vlKKwU6mwcOK5N7K7mSaDnHBI7VIYwR856ZZWn0ouI/jqqcAdetISdIHB5RylsXac6Vkdk5u6zFdLIw3ELpHlwQwJYGpjlNu8+Z48fY/6EOl6R9MH6kJTl3b4ff57bCWDVvq6zcGdmsOdzQAlnlPCOz4+5rOf/SxXr17lRp3Rt7/97c/l5V9WcfomfqYdV76JphYwpR35WdokDl0nLgZZ46+wsuhXRWDrO3y75bHjLU8eHfHw1UN+55Pw/7oX7nM/VSyBPeDVc1jOYH9fIN1lbVjOZlzcWVIXFXuLGa+9Z8l8PifGZMnTecqESDRGD1JS6y4SvJNFTksSyaLKeYMgbb1Mrp7s2FVklVCv1ogpbq4w2q4XgjeB0hbDd1gWFmukSsoUgohCxZDmOCIZJpsWPSzochyC0MwzpQwYiX6sMrLbdv7+rdE4SHJoHq3THDdJpAEQIlWh6JyiSi3UjFo+veDlmbC0N8f5W+9E5WVWKGnfxlEtJH8Hp9t5eZHPny9HTsBB5U3GWH3l98yUh/z44TUnRPXMh8vKQloOfKThRHltaeOOoBZJYBHv88xPYZgmAIUlSLJTcj7z8d9o5rbtxXEixIAxkVLFE/dyiFL55Xx/O5LMM22Oz+Lm45YS3uXLl/mrf/Wv8hM/8RPD8HmqV5f/nX93FjcYYD9De1MrIf5mPUxR1QiCvEtE49YLwOKwlfOsk1ZmpT1OG7SxXNs4jrqez1855Fd/58XRwnw9cHEJ8zncdwFqq9FlTfA9ZbngYLHgrv19Lh4s2JsXtF5xuOkxSmY3kJOdoTTChWt8ZFlp1i4hEWM2IU3zGQ0ozaJI/LzkEACy0PVBiT1S1Cc4ayDVpJDG7TAzBWkxW60HG548E2yzV25KRig1WP5M51hZHivD65USnlumJAyms6kiyi1ApRW1FU3PDLbwQYAZClls56Ue5ndw42ssUw2EazZSFDovn7cPSj4kmZem2HaBECUF2QkyMSekjBzODgxTb7kpsCO3SKfJYko2zxuSPgqCNmtixvT7Pr1v6+LAf6ytEn8+FXCeYTYq5ybQBxFJn0aulKXLq0/Mt7JzRGQE5BTKs3GRmY34YIeNyFTvdirQfTvirB15++KWEt673/1u/o//4//g27/923nb297GwcHB7T6ul11Mb+jThNTTyXCAeidSMzGIWn56fAYuyKBfqpHjxtN0kZ0anjx0HK9aVpsjnlit+NTnDvngZ+88MKUCXg289iLs7cNBDbGo2Z9X7M/m+ADnFnPuPb/Dxf0FfVBs+wBpV4/WzAo9gDO0SqAFZcT8VFt2Z7IIivfbqE5SWDMgDi2RLu3oYwhsJ4oiSgltwCRgSIiwrDSbHhblOJMaVG0SVSS3JENMkltpVti5QGUiSluhC0xmQKRNT06sIUqbrg8Kr2Qh9SkBFhpiMugNaEqbqi0vz5UNklRiefYG1wOfTlcJOWGNlczIM5uXmt6FAVATkrRaDKOc2hS0kudwMJ4DEPHp3O7Lz8mJOnc78pxPjoATfLbTpPTs6Zd5fXkjGNEDSV1Fma8qFVAKWhcobHbBGD358rlxKXHFyflQUcBLhY70aXOhTMHeXNxGppJsOW4003y6Of1ZvLBxSwnvn//zf85f+2t/jR/4gR+43cfzso3pDX160RkQaN6z9ZG+79n2cjPVpWVWFQMXqnUikbXtRxRdiIIw3G63PPpky5PXrvLwlas89KjjkSfgt+/MRx4/H3A/cAC86l44tw/L2YzFvGZpS3bmNbuzGa+6sOTi/oLKKo7bSKUDYIYksVMblDbJTWAiH0UgRM2sUOKDZmT2uWriCZh77/wwO3NB+k5NHwdwy6w0J5JFlmhDafZm6kTFlI9pKg6tNYPItCA2oSoUHk2R+GCZ21YYWRiFXpBmblbjvU5FlTwuc85CjBQDtF9+LmAMESJwLiQAx5gMc3LJLcfCqOuRiDEMxwWSALIYdoiiYCIIUFkqhFqRr9kwJJ0pDQHGOVsWitapAsybgnx8dTFuIKZcPxgBLXnjkueNg6tPFEf6vBWcqgypxMd0SWczJx8XI3WZlFKy1dKk4g1RvjcQqkpp1eD64IPMADuvWFQyH7+RLNq0cs3XynNpRZ61NG9f3FLCm8/nvOY1r7nNh/Lyjxu1JkIIA/hg1Qh8vk0iz4VRzCoBL/gQOVo1PLny1NpRlBUxeDaIfc1q3fDo1TWXjq7ysc9d5V9/Fj51xz7pGPcD987g7osyq1tUFm0Ue7OaC4s5O/MlBzsVy3nNwVI4dXmBCVGAI9kVwqOZJTsfYwzRB+aVpfOkhQiKBM/3QTGvRN4rV8O5RZUValyQmV+TRKMLYwVRmUApwp9LC6IaZ3oxjgtwbs35MAo5u6ASYCS1oQ00XUjC0+pEJeSjJL5cKQitQlRKMloyhJDan+oErSB71AEDVD+pa52YqblUkWXCdI5cIebWb6HHhd+oyKoNg1tCBsBM53g5EblE3J9WvwJQyVJpJ5OAItIk14SceDLQB/IxjWjKsdUZafuYfOxS6zRqMbqdgH7ycfgoCbrpXJoZemaFGhIXTOeYDO1SlVqhNrVGB6I8AZ9ARlqb4fnTmCan0/f7rXLhbjRLPItbi1tKeH/2z/5Z/vf//X+/odLKWTx1nEZK5RmEVuB8HFB4VglsfllplrVFa82mafi9x7dE73iiaannHqs92lg2jWe1WvG5x5/ko59a8clrYuVzJ0MDXwLcdxfctwd2ZlAhUNcV52Y1F3YPuGt/zoW9OV3QLEs4agK1d9SFKKYISlKjQxLwzdWCSkg/gyD0lGPdKZbKo5UhRGkDQ+JWRZmDioi0TgoY0h7stGFeJYsbawaawlCNxUxNGPljmUSuExAjVxFE0Z4UyoAgJ60WlY8QxG5HeHNqdCNntJCJyFzSkOZUqXUnlR4QhVQ9AF10wnkqaDqXZk2jqLiPSW0lvdaguzlBPholCaa2SWIsXaB9Wuj7YNip9An3kdOL+hTkMfWfG9w7VGqBIq1ZHzSVDQNCVlqomcOWqkMfhuo5A28i0PXiaiGtWwRRqyQZDi1ErYlaY7Wi9+OmskhCA0olfp6OJ8ArOXLb2ytFzjExxsHIt7KK8pRT7Y14eKfv91ut1E6c75t/2lncIG4p4X3jN34jv/ALv8DXfu3X8pf+0l/igQceuKEdz5vf/ObnfIAv5/BBFslt53HO0TQtfdAczAvms3qAWfdty8NXW+g3XNl4umZN6QKLAtCGw+NjfutzD/NrH4ffutMfCtgBvsTA7i6c2wFbwd5iwcJoTFFS24KLezNedX6BMgV1cKy7iCKkdlVuT+oBgFIXo8JHaYzMuRIHzUXNvJRKsEyts5hoApowVHleK6pC0ccMRlADGbwupD0VghDMs5TXrJxWRcn8lHGhF57cxFUeqcRkYRRU5dQPT5JenmnJHCnpUeOTmokgIiVZbsULCB9Gua2QW5kpYWVgRhY3zotvdlSfamRO58Qj/SFx/1JSzxJeKM1Ora/Tps0txFxtTtt3Som8YOsVhfIoU6C0nKdRTism1Kx83q7zAz+xmABN8mdVUapA7z3r1qOip4sar6WKVyp3AcCklm2IDGhMazQ+ZrPXkyLW+VzcCDQWJ0nJeeE1mvRZnkomMPMcbzS/m1a4eQ55I7eI0+F9EoC3N0+OP4sbxy0lvLe+9a3Dv3/u537uut+foTSfOZxzXF21bDsvCLegWPeanVmB0oKU09GzaSOPPHnI41db2taxU5VcCwWbrkf7wKrd8muff5L/9xPwmTv8mTTwxcBdS7hwTnQpi1pRVTX3Lncoi4Iq/VnMZxRlRWEUqyYCwpXQWlRS8iIrqvRIJZdlrpwgBcWk1FCbQBsMtfE0vR6sYHLLbEAMpsUvtxBzBZTbcD5EehdSWzVSmEDbjwokkP99cnaTF+ZML2jTPC0YNcxYc1U6aFFOkKDDXCs11lyAQo2Lvk5qJJmP51AYLVSMPih8CMOim6XBBqHxOC7ImpNcuuvbbbJZyMmuNOq6ZAd5rjgu4rl6zAIJfULGbp1iaa9v3+XzlAE3+TwYxnOQE3Jupbogs7NlpTluomwSiGz7SG1FODvGEZkZQqRJrWVrRJxsIPXrk/PGG4HGZFOhhk1Q28t9mr+L08853b7M5zcqhnOVKz4fxvmzepqkm2Pq9HDn3Txf2nFLCe9HfuRHbvdxvOKiccLpOdzKjrW0mrmNgxWLtYrjLWybLQ89cpWrzRbXbTlY7lHiwBQ8fPlJ/p+PbvlQ+8zv93zH64GLFVy4B4iwtwOFtezMFrzmYJfz+wec37GsOrEq2psXzAqBvmdXbx8EYi4tPEk80/ZmjJFN69i0bmgBzivwylJaxboT+HnnRUh43SsqExM1QJTyszt3RurJPCzNbMyY+DKwZSqDNU2OueWZK6ps8+N8Rv2lxdWap13MBlSuF2WYLEEWozxv6rSgVJSGmRqRixnsoZRog8rxjJ54mfsmYs/XVxJ53gXQpEo4xsi80tfNp3JMEcckukKmNsQo1/C2F+h+50SPNE7mf/kcZ389rUb3c+c9TScIyCwN57wknOh7Nl4LJSCKLNuyDgPBu7IygHO+Z9WKvmbQMhIo03d1w4jjNeNi5u/JDFApSaTyf0ED587DNMHlZHZSRu2pz1+uHk+3gW/U7pRrPX+Xpw79FueCr9S4pYT3Ld/yLbf7OF4xEaPIV3nXQ3BUJmK0oS4t1lqWldxw286zKBXXVpHeRa5sWoKDqujxQLu5wgf/1ZZ/Fe/s51kCrwW++H6oFuA9zAuoqzmvOdjl7r09Dg52eNV+QRMsde0FeVpKW7IuNEZZtBHnAZUql0F2SmlqA23Sw8xuAEe9Yn8mah2VFcBKqQOtV8xspPWG3ToRzQszwPlzBZSGYgN/TCez1FKDJ9vujAtTDJ5VE9Ksa+RBqsnuXDHC0nOLDq5fDKeLU06eLgiAxYWI7yNzFQZUYjFZAU0iqPeJmpJRnFl9BU6St7Po9XWJdgBriDSXD3FoRc6KiWEso07udGE9gTjW03araJoujSQ7gnw2E0f1kkzlkM8zVkfiVZg2EYznKET5LFsn88utU8MGJKCH8xSR4236QNe2XDl0zCvL/qLEWiszz0mLd6i4Uou7P+UbOK1+gcHEd/qdTuM0AR9uzJ2bUhemGpc3enyM0v6tJ+99o/cLXI8POEuE18dzUlp5qthutzz55JO8+tWvfj5e/iUdPkTWradzUBaWolAjEk5Hjhs/VB5N52jblsIEKh2IoeWTj13j8Ar85qPw0B3+LLvAaxS8+l4wNcwKw8G+RRdL7lvOedXFc9xzbkFVFvQhUhUaCoOKnsOtx+IIsWZRaua1nVRW4/BfIXJfonAhO/1ZaTi/MIKcJEgrTYFLLcOAZm8m+ppGRQGC6KmYcGq554UPSZTzEiImtbwScT29Z9ML16v1evC8y1zAjIJ0qW1aW0Vdiq9eViXJnK+8wOVqMbcpsyO7KPtnRRh5jNZyHCGOPD1NSKjLk1QAGOeL+fOdbtVNz22el4EAOooJH9AaPSykp1t00yovV0CE0c0hJ2qpXFNbWtsTiMNcPYcQBiWc8XOMwt65HTwr8mw0tamDolaBiBXgSzoZpdVcdpqjrePyyrFuPfcczFnUmqmE29CGzXNQ5+iibMIKawd+Hqn6yhuap4ppe1oshUbu7FPFtBV6o8fmDQI3eO/p+53C0JwCutwYUPNKjJuegM7ncz7wgQ8M/z8+PuYd73gHv/mbv3ndY//xP/7HvPa1r709R/gyilzddb2j7Xp6H1P70kIMXFk7ou9lh9o7HrvWcPW448nDFVc2K37v0paHPgs/+SJIdq9CKrv9fZjvwPmdmgu7+9y1c55/467z3HP+HK+5a0FdaFaNE3cBBM14tOk4Wjc8eq0dzgOMCw9JuzEGz9FWkr5zjhgjO7VUw9kH0AVo+iDE+z6MsxdtmJUGY0YeXwYU5Oolc8SAgcBsEtovL+itk1lTng0Z/ImZYB/GxCECAXpAfGZVGBcmYgLhZBWWRZ61EkHqDErIrb9plZETxFSvsTBqVAhRo5RYnoXmxOb8qMXZ9GFw12h7+TxacaLlG+KomXk6ppJsU8BG/nxTkniuqhs3zlKzLmgWUJi+Vl1ItZr1P/PnrqxiVhUsaysalkqsoPLrT10RSqvZr+X/RgW2Tcvjhy3rbTvM9AqjUkUZhlbnphc+66YLwwYjV65Tt4fp9xFSdZyFxYFh7gjPrI4ytHLDyfMKCazSObrecaPUmRNXcYMKPr/vFFCUZ4HhmbLwyzhuusJrmuYECKXrOn72Z3+W7/iO73heDuzlFiEIWnDb9rIjs2aQRFLRc23jUgtIMauEO7Rab3n0yjU+/vhlnngMPn5859VSLgCvK2DnAEIPB+dgf1HzRQe77M532KkNRTVnd6Y5bCI+OJl/aD20JK+ue3wQ0rFUTh7xREsLYhR1k62TRWDTw7wqmKUqxfnA2okdTEzViPdhaK1l+a8BaMJofpoXWZuUPDKcXWshMGcKQYikyktmdVob6rRINl0YHLUrE9n26XXIC7QcZ06SIgunhkUrV2A52WXJtExKz5WELOKCNo0hQJpluqiZJUBJbv3KxGg0HJU2qBpAJTl5uTgusLklmtuDQk6X15gS8Kdt2OkCmiNvDvKf0uYkKFXZug0Y5Tje5tajGr4fkWcbtU6l+ksL/wRJmt3J5T3CcDzzUg+cv1zpBKWZz2pee7fhaOs43rQE77i0UixqT0RxtG5YtYFFqZjVlVSlSkTHq1y1K6EzxOCHc5nbq9MkYvSE6zhpJQ7VG/GGFdVUHOBGldqmdaxa4XGKCfHJeDp5wunvpj5+kVe2RNnz0tI8i+ujc0Eu4G0/wOC1lgXscBNp2o7D4y1P9D1lWWCN5vBozeeuXObTD8Gv3mHAawV8EfDFd0NZS2ursHBxf87vv+sC+zu7HOxWbHq5+Y6aiGm3sklSmt25qMUcNjC3kV4bZqXw0treDy2XrIEZUcxLNUo8eY9nVLcXiLokxqowQ4U0LzXWTuaAk8FGiCOoY91Jm82jh4pIWsvgJzO5jAytrLxvTJUmWjiSPkRs8AmEAW1SHsnAh4y61Eo4dFOCdudCWujGxKCISZJMUdlIm7Q9WxexJmKNoUoAHzgJa88KIRkFmRGqAyhC6yTzJaR4pyRZjET4TDJnaE36JBE22gqNC+hpFKMk+ZRQnRur9RDpU4VkjHj7qYSzzPcBjHzGjGCcKsTk+VtO3iLcrSkLESJwMc1J02fXCqy1nN8xLErFw1dbFB2PX4O6Krm2lcruuFPUtbz+rDIsqpHO0rmRd1kV46xw2krMScQkd3NBDkvDeWgbhzhUYlPUa65uFbLhKiYdh/xZ5XyM1/CNZnNPN8uDaWJ8BWe6FGcJ7wWIXJVkZYo8oKf39A7armfVOJ482nK8bdFWs7CaRw+v8Ou/tb3jye51wOsuwsXz4r93UBo8inM7O5yrS+pqzu6yZF5ZUIH1tqPQsNn2bHpYVoGjjSxYy5nF2pJz83JyLgLGiAqLDynp6SgAFg1GKQ63klRUql6cz/M9pKIwY8V8oxlFRjPGIOa5lcm78oA1CmNk5hIixIHrpE4AIozOSiijkWuMwiGrkpNFwYgGzLt3HyLaCFHeRzCIW3lIGllGRZo+efEpaemVVlqxpZbnFAlFk5PlNJGfns1513NtGxJcP7dJR5SpSotopUceXW7HmQmaMVdTwzwu6BNzIJBZ5rbzeO+H5GR0otWoBCZKKEOdXyeK+/pwvtPstnd+qIhzhZvFqLWCtpfkqZV8D/nznP6Op+hV50MCPgWubiDGlllVsFNJu3WnknOZv88QDUX67KHvON46SiPI4sJMHNeHajc7WwjPUK7LURS86cMgVKCUGuTMppGvsWk4H1KVrllUo2D5dDaXL4GTQgNnSe3p4izhPc+RFRpcarkVynN5E6lNYDGf0Xctj1xpOF5vgB5lA1cvP8nHm47f+Rj8+h0+/i8BXncX7B2IVuRebanKJRd2ZuzXNV3UBETTsO16tr0mekcfLU3vMCg228hyaSkLzWw242Cm0Lak71ohKJs0u9GKTdOx7SN9r9mdl0RlxDbIwMbLUiztNz0kP5RmUTHIS4m+49h2Glp4CfBR2SzpNVZwwACWAVlQsh9dboPmZJf5dNOWpNYaJslhiuYr7WhbI4uiVDExjpY3zgs0vi7kfXPryRqNBXovi/5UFHpaachrpRnpVjhjm15zrhQLpbwJOIEkzMk8IRelehlBKtM/IepkSjsKcw+z0SiOEgrh4GVbnxBhWUoyWFRqSGLyfE/npLK11tJ7Oa7s8p5VaXpvMMER0ElMQATEC2uuo1lky6G2lzl5nr1qrWWc0ATmKVEeLBfXcQzz3BSSAk363pVNG6kEPMqJevq+OYZqOY6z3xBH6spU6Sa3dG/UYgxRNivGQDlxmJ+CXM7i2cezSng36kO/UtE+Nxs+yA247TwxeC6tAyp6rmwlCV5d9bRtR9tHiJ6jq9f4V7/b8UvrO3vcX4qopFw4B0UNRVlSmgjFjL3acjBb0AVxAti0jr7r2PrApo00XcO8qiBETFEyX2j2lmLeuiiEo1YEL751Ns3OogAGVm1IdjxCKp6V0hq0VYG1I2AjS2YV1gxJzzJCzocB/UTgWP5WY8JKiSIDGEBg9bktNv5snKkVQyUoVdlAfi5G3c2TepJjIs78uVyF5JZmehvmpSyqhTVDlZWX0il5OR9TjKNnnE/AiqYXtGdAsz+T1zpNkp/Oi3IClO9gatAqx9z0YUCRblNy7vzIHey8uEjszexE85LB9DZX3DmpVlaoEk0nCSkGWCY7oQGkk0QGQprvbVoPyLmaV+oEohPktbveD+LgvfNiJ6UV2kIImrZzGG2oymI4v9Pkk8/N8H2na8d5Uf8pTaqCY6B3J6kYuX2d6Roxtc5FcFqf0CidVmb52LMVUm4va51k79zYHj9NXs/PHb7PyXz1TGD6qeNZJby/+Bf/In/5L//lEz/7uq/7uutkxZx7ETiM3qE4TUjteiFKS/UTMbHniUOHiR1fWGk0PZs+EEPHZx6/zM//WntH5cFK4A9auO8BWaDnpRim7tSGqqy4sFygTMliXjNzjqPWU9nAauuxyrPtI1bLIjGrS2bzikUhSjK7FeLXpxR9L7D7qAxFEhnetCLiXFrFsrYsKuG6GSUk5MqKNqLVEZQsqNmEVCqVNCsLYWiPZQ1LP1RHakAhZji91hpzytVbiNSjHNUUDZeTTQY5zArJZlMUX57b9X5U2g8pSWR0YAiBNohLw6yyqS0WB+DGtHU4oDvDOBvKElkZtNEGMQMurWFRF6Mp7CTy8zJCNQNSQjyJ9puiRE06X72TWWtpIACb3qdKS1MWdvj8uUU3TSZ58+CjGpR0fO/Z+oDWbjjH2QkiV8rZ6snHcd6nFYMLfe6gbLqQWp0nnd2jkpbuYl5TxXGWnIn5WWxgnCHL300ndAbvPS6kmakSnqAkoJPt1JNgnTFyYsyJTeTe5PibXo55kHxLSGEIw7kO6qmB9EOFnZLrWeX3zHHTCe+MbH5zkS/C3AratIK+bHsPMXuWRa6tOo6bLX2A3cLw2See4Md+rbujKMwZ8OYa9s8LKGVWwnJnxsX5nFlVsSwsyhTsV5rORfaXFVUd2bRQGU+gYK/29L5mVgl4RKgBCqsNx11gfx4pjB4UUWalVFjCg9OURTm0DnsfMTGw7QN9CNSFAFR8mNj0pDmY9yM1QNprURJdlFop296ISkZg24XE95JbYGwvSYWQQRjzSkxfM+dNqWR1kwAHGcov4I2xspza44QIzokOZNO5YY4lCVun1pWh1Cq19FK1Ndmq57W1F2TEwHUDBfkc+UhVmMH7D64HOWTHiAxKmULpTy/gm9bROjEZjkqSpzgdSCtyVhrxi5tsBKTaYZDMyseQq/gsDF3o8X3z87SW+VcGHVlrCNHRKEVwjm0rCboqhPLh0nce0nxcE4hBDfxIYzTzAlZdYH9usUXJwaIYOZFRULADLSYl2d7n45EPUhUmzYpvDOlXSr6DzsmM2E82DxF14km5euz86LJRpOpVITPCzkPvxqR6ozb2FDGb/39W2T1z3HTCO5MTu7nIF2EIgaaTVmbXNjz25IqgDYsiYGw1LBxXrl7iVx7p+KdP3NnjvgC8roTz98CyhqKyLEzJbl1iTMVMW7Stid5xrTPs1QEXDbMyUJdKkt3McGUTmEdPVIadWhbyrutwQaq3uigxGtYd0h4KFmsSlUDpweU7C2uHVLVIWyzJdRkGBJtPCLg8U+qccLZcmuMVVpCYRVLGl1ZRqm7iyZZ83oVnPp8s70noWTG8x0BbiCRB62wdJK3QAViixTIoBLkOMhrVx+Snpkbx6vz+02O5ER0gzyjHik+qak0YjreyU+TmScJ4bgnH1FKurBo6NLmqMEr4h9tOIPwtikWl6NOCXGhFl3iIRQJ75PmUUTGRrsdrK0SpYlQ6v857WiezylyVZYrItu3xjSgQtday3rasuqTCYwpp1mpNXShISbVDszSaTetYd+K8UJcFuzObdEkbLm0id1mP1pWcwzhuSvJ5Ak7MYOeVZVEqytJSW8RpPs11hYg+ttBDuk46r5IMmYCDIiTx7PGE6DSTJl1jU+smsauKlDpQWQPRc/W4I0TpBFRlMSAxz5Lcs48z0MptjIGfE4WCcLztcX3Ho9d6Vq2j6xuuKsXFRccTl6/wqcuH/Orvwifu8HHfBzxQwN13w+5cnA1evbcAXeAjLEpDCBpCR+MDu1bRupqFFrBC1znqUtE6zYWFZt0blpXY8hw2DhUjxliUVlzbuGExdAFmVURlr7moMCEMli6ZXD5VSul6N8y+poasGVhfJeh+Jp13vZP+G4lM7r2ITwfx1MsLdW5/DgCjyXwwJx9xmB8VVaweAScZUNK5iIqBbRcHpZbjxmNVGJCFhRGgRp7X5MW2nzi0T2d1mQagFWijyfZH20SQzgvsrBTtSdRY3Q1qKIxmtd6L0o14wlmWqXLJnYjOSTVd6EgXFItCPu+s1BPqSMCFsSLROg5V5RRxGEKgSxqhubXX9JG+6+ijYVFEmiAzvW2b2v5azk9pI4cbsQIKCvYqBkqP0BJCmgsKX42Y1Gq0Yl7IZqTQnkeuBNqu5/JasbeM6Indk/AwGb6/3NrUOjtl2IEEfxpJKe3HOAic9z6myjWikkM6aa5ntCL6MPAky8JiTBy4oTlan6p+bSgLy/G257AZ27pKh5R0zzLdrcRZwruNkWc7TR8HUMLVtcfEjt61XN301PGYn/l8z8O/2/ALLwLR5/uB+3fEhXyxa7lvf8kD584xq2YYFdj0Hu8Ds1LT9IF5AcZU3H1QsnWKtulYtZ51I/qVd+8VYnjqwESPD/IYaz2dkdmSTbO7g1qSitUMs7qjjSDyDJ6iKOh6JzOOEGmSEoYLUh3Mq6mihUlzEDtUHJ2TFmKuxgrtubIJLEuZ7RQW1q2nTGCYpo9CYDeSOAYh6+BpXRwUSTK4oEjUAeLomh6SLZG07pQk3MTb258XGDNyBHNM5dRQo4N3bte6XNml5DUmHVAIMGQ3edZN5zij9Je070IcQTaFjvgoPND8XlmNZQCyaMtefXKxN1pTJXi+82EAyazbyLyMg1h2Buesth1HWwcxUJd2qGr7oNBaPBBdUl5pOtmUrJuOWelxRrEoNGjD/kyjbcG8lE1Q07kh2btknWStJeKHDYAPkaZ1qCjt6d165Pvlaj3PE4eWa0JnbpuWwyZycaFoqGVOy8mZqNXQusTBi+LCQWrFZx5kYeLgrpG5jq0TkFOuDOtCD2uHVYGtU8wSaKg0gnTt06w4V4NPF2c6mk8dZwnvNsR06O1ChOA4Xm+5ctSyWa9ZdVDagnv3Df/Xv36Ef/lJeOwOH/MF4C7gwj7cdQHuWhbce+ECS6upioqZ6Vj3ltqI4nyMHpXmGcuZZttHFEGALQVs+iAtPJ9mLyGybgIuKCKG5bweBvilFfAAqYUZYkTjubbu2bb9sDBqk3QdnSxOs0IWo9x2qgpZXFsX0chOPYSIz3y0IAv38VaEulcd7FZw2JRcXMbBqUFmKWnhQhayvGMH+TtXftZolrU5gT7sEkBGYqxisuhzYYUQn0EkArYYd/WDG7uSn2cngez0HiJkKmZutQpIQbEozAkARa4Go3dSLakxiWbD2VmhcMEOrc92UoFVVg3cssLIBqNIM9j8mbveDTNOoxXbThCSxxvYm4ncV06ax9uebSetUlQQ1KiXtnPrBLEcfSD6wLKIKFOwrDTGFnjXY4qSvVphi3KYz1ovItdE2ZyIy4G0/LQSkn7f9qy2HdfWHbPScHFvxvnd2QkKCqkSX1SgtB7Qt+vNlk8+3nJuFrms59xbpcerOPAQ89+VFcf36SZDpaQ2SLul98wJMl9zRo+EcJ2eq42lUtI+VUrk1KqyoGsbrm4DxJZiXvN0Fd4UbXrW8jwZZwnvNsQULWU0XGt6PnepoW0atl3AaDjebHj08pP8X5+Eq3fwWPeAe4C79+DgPLz2/JwvvvsiVmusrYHAYl5ybQ0zq3ChYHehOd4Y9uYQouy4t22g7zpcDJTGcM/BnKoqk9J+oIuC7OyjYWYtZVlQ2bTrdtIOmpXy/0JHuqgGWbFtHzm/yDtlBgJyQLM3l4U3G7bmiqQLeUGRRGyNxvtRwWXtNLUNNMFy756hKIrROQFJDF0Q0WexExKgSV7A8gwtu6fXNrBqpgLJstGx1iYAgtjtOB9S1TMKRXeegWuWXy9vBIRbln3eYgI5jTM870RrVSFqI0YZceaeWhUpEdsGAUfMS9h2WYYlELQZ6AeZa+a9H86leO+NSaHtAldXkd2ZnJttLxsAUcOR7+lwK4jG40ba2bky9kH86uaV6J9WqWouiwKlA10PXQgsZ0lM3cgcqxUOvlT9W8+u0gl4BOtkGKuVVD0hKmYlAzrX9VJVZqEHFzXnliVlIctd1uZs+olyCmmG6xyPH3vm1rPqLW84n4A+A2hodMjIhrtThGSMERcVhU4VpB6r7IiiNHHYyJxOWrmyz64M0xHJla08euM0i2eo8Kbz3rM4GWcJ7zZEbkkZJS2xx65uuHp4jceuHlFXcHTtkI/+nuP/Oryzx3kPcLeGu87DwXnFH7j3PPfs7aFNxaxUoAtcu+HqqmGuk5NBpQgYljPYbB0hNDy58RTG4oInqAKjFYtZJUg+BcpYDmZ6AHiUhWWnNrQucmXVCSm6S1WNjgQjLcwsq1VoRe81VSGcrblh8MbLUPqhyggej6FOZHLnHNvOJ1UTqVjmlaUuwgCssUU5KHjk2Vzv5P2JkRDUsBY5L8nFe5/Qk6J9enkt/mkNsthbJdy3HZMcDRKJurSywB83fkRwGi3qKTrSJK5VJM3oCGI+q0ktx1FYWClFFzRRKbZ9IGolaNrE1VIKiCFNkMKgWNO5MCBPs5ZrXcp30gWNVZJ0N51UXC5qaivn3PkgoBglBPK6SNe7E43UrtdUVjMvNU1Pei2pkB1qkOSaVcVQ8ZgQiEChPFdbjyZgkpNC66AwlmVp2LYqbQ5ET3VmSZudVAllrmDrh0o4hMC1Biqj0Frmb3tzee/so1gVBmUt4E6c2xBk3lqbAGXF686VzGazERGcNk+5GwDXIySVyhxOmWuGqDCcFHBWOSFN7k3vhVoxdffIlbcPkZ0ycthEdqp4w2Q5jTMwy1PHTSe83/7t3+aNb3zj83ksL9nIld3xasNnL7dcvnKNK5stT65XdFdb/p+Pwafv4PFp4PcD912ExRIu7hS84d672F/MaLxG9S0KS11pgWR7zzZECt2xjppSO2xZobRi01vWfc8MRQmUpWV3npCV0eM9HCylJVlbRR9EM7NxojBSKM/Gafasp+mk9bM/F/X7eWW51DpcH4n4E8COvGvtnaA2V+24OO/WkSYKeXnTukTAlhZXF8aqMKtu5DlchstnTlRlZYE1CRTifOB4249q+MqwrKBxJs3AhPs3LzWX15Fzc5US6EhZ0FqujSwwnBNtXSS0ph7VRzJydMolm7anYoTaSltst5IF1aiA96N8ncyHkpOEC6zblmsbN8wHey/nPCIJeFHB1slGLetuLmstAKIkoaaUVH6ViekcmoHikSvV8zvSrl01Ts4VioVJbhLRc9QEdmv5LK3LQgDSUm6cZteAQ1OaOBD0d2rxTGy7SEzz4JmROW1GwjYpKbS9JM4ra8dOGVG64GBuCEo8Jls/VkyFHcWxm67nuO1F0cYISa6qKvYLJW1V7wmnNCsV0sHQqYLMtIQ+KKJrOWwVOnQoWwlSWavUbg8CeGKsxrWSbse6FVuwoGW2nDdMmcqhi5KLJYPSzzRCCMOGO/9ueu1kgE6IXKfnmT/XK2Xmd9MJ701vehNf9mVfxoMPPsi73vUu7r///ufzuF5Skecav/f4mkcvH/HIpUt87tI1Hn4SfvkybO7gsd0PfNEePHAB7jq/5Pys5tzOLstZLTOY4Nn0EXSk9J7GSTWz6nsKYykLgzeGmYlUhaLvAysvgwiBuUvrb9N0KFOIW4KVmzwP77ddTEoV0EfD/tyk1pAs2OvWMy9l55xV+/MNKC2nOMDgFZFVG4i+58rGsyzhUi8zsjw7iihK7SEqrFJ4n76k4AnKYvDDIlMahK/nPVdbRW0Cm2gk4SXroczvKwtJBPuVFseCQha6a9vAq/YYuGpWidWMzDtFMzSrveRzE1Ho6IdWrErJKPu6SXtMFsOMBM2Aj2Ut/m/rVqq2bEm0aeVzbdtIXcpjHjtyNJ2jKgznl4aFIlV5Im/Xe0laSil256klrY3QHJScz4yWBU58L1J95N9Jkq4KgwtJFCCjVLceHR1HW3Fl74Oi8W6Yse7PLF0QRGXjNAczIVw776kKERxovUoCzbLRkMQoFf0qWUh1QWNxOArO11r894Ln8cMeHTrWvWJ3Zil1xdpHrq5a2dBEqfpmpUlGwBHXS2LOaN8YI23X03lQUfqtTecGKgfIBuvxw1bmiJ3j/J5CY8VnUEuVWlv5/IWRCq51Ui2HCF6JkkzbyQbMB3n/qigG9Z7srxhj3oyMowAXR0WWfEz53xkALDSNkwnulTTzu+mE993f/d382I/9GN/5nd/Jd33Xd/H2t7+dBx98kG/8xm9kb2/v+TzGF33EGLl0uOHhx57go59/lM881PPbK7jD1Dr+Pwv4A69VnN8/YKcqOb+Y0Xgw1oBSLOYlto+UpqEPik3rWJSKS2tH2zb0hUEFQ68LiI5YVhRWs6wrXIh0SlMrTecVeE2pZce6bXtBIxLSQhbxXkAYtQm0TsR8+5DurigQd0VkURk2rRP0YAyEqAeCdEYtVtpzeRtZFJE2WJYlCXkoiM5FoWidJNWyUKxbj9KwaTqWM2mHrjtJ7Bl44XxgWVs2QWFNxE2EjPfndvCbq6wkhN3SDPy/ZR2IURCS3ntR4C/UCZDKlNjdeyFnC8HYs/Ey53KBQR4r8+165wfroIDGas+sSqLNvZyTeaWFQO2EcqGV/L5zgUr1tDGyU2p2ZxZtLPO6lKrWwaJQaF0MPK9ZKdVwrtJy5QnjHEqr1JZNle8gPxal0WYnsH+UUDHWnaLU4kCQEcyLuqAupQU+155Vb9itNVsXMUY2Up2TSntZaSKGo9WWrVNUJrKc12y2LZdXgeg9i5nFeYvViqMmoNlyaeWkmnSebeN4QinuOZDN2eG6ZbPtqStpiRttccGAhnXvCUpmq1Vqwa+2HdZaFKIru+3FKqpzARUDx43B4Gl6PYg4d068LdcJqLPpFItS4bzY/8QoBP/CmkEMe90G2j4MTvYZ+dp76RR4GTuLUAJxqPBKc2MfvDxTztXi6QT3Spr5qThlu95EfPjDH+b9738//9v/9r/xxBNPUFUV73jHO3jwwQf5uq/7OsqyfL6O9bbH0dERe3t7HB4esru7e0uvEWPkeNPy6594lA998tN8/DNbfvHKbT7QZxnngDftwB9+4w737+8QzIxKR5SpqI1CGUNhoEi7523r2Gxbrm62xAhN17F2ntoU7NQFxlrWnef8rKQNAtCoC81uXRIR1ZTCato+UhSWurLszKsRvapGJ3KjpPoYlCxiGEV+lVRJKnrQFqNkh9t0bqiQgKGd6ZOtTtasdFEzszLrUDHRF0p5nagMwTuMLURrMgRWbVL8UFqSQ2FYVLLAZACHUkIS14phdx+UEJJRMheaOgXkpNd6xbIEtB0SRAaslFpI1IXyXFkLr7CyAqsfKjY9SYCknb2Rn1dlQfBumFnNkyyZ1bDppOWbUZcujO7qQu6Pg7RZmU6oSU4TZWFHFGOqKKdtrnw+ZI4Vh6TqvVQqhVGDbU9EDUAY5wNWBQ63HufcQKivSukIWGsH810fFcF1bJymb7ccdTJPXMwqdmYFTx5uB/TpuWXJE4eNAG0MXNibD8T6fB62nWxqvHNsGkEVz+YVu7U4ohdGcW6nZm9RSXWaZsDOB2ZVwaIuaJ1IjW0aSXj7M6HVZIPWdZuskZKxbEQl5KgePmfe/JVaKuc2aX9mhG6mh/iYEmKQtvuytizqYkDaZvrC1KooUyyyuW3+rp6qTXknW5i3Y819LvGsE16OEAI/93M/x/vf/35+8id/ktVqxe7uLu985zv55m/+Zv7oH/2jt/tYb3s815Ofdfw++dlH+Sf/7+/wkd/o+I3n4ThvNl4N/Bt3w2IH7lpYXnv3vdRlwbKuCFGxuywSMEC81tbbnuPWg2u42nh616O1SdWHp7KWmYJeWWJosXYu4s9RFs79nQXzSnbvfe+JwbF1svjszEuU0hij2ZkVg4xSbtMYY4bWXEYt5oUyeIc20nqMWiDZh00k+h5tLFYFPJKclrNyomIvLUiiADBmhZDWRYMzDq04TWDVwU4lv8+oxykvq7Li0m01Q2svRFg3vUhbeUlM26blqAkYPLYo2akEWKIRw99c3S1n5UDS9kEW684F1k1P04n27M6sGLQVtZJjGZzBk6+g1YxIUG2GDYPBS9JTYVBJKa0e0K0ZxNJ7kUsjBpEF05FZVQygoME5YTIPmm5KjBbT3m3bD3SELASQjzkTt4mBVeOGDYtwHQEiVWkHRZPsEF9aaRV3XUfjNdvtFpfmk+d3CmxRokLPxmkK5O/gZFZ2337JfFYLICpVTqtNwzrBPe/asWy6wKWjlkUJppD5mkrzyP25BW0HkfGM8JyVZgCzeO8pC8uytoO4dZYUa3s/tBitSQktfebCyvfUOuku+Jg2A73j2saxsJ5VLzJoRVmxLBkc4vcWFTvzSlzeOUnqh5PiAie9EcdlffqcOz2ve8kmvGm0bctP//RP86M/+qP8zM/8DF3Xcd999/H5z3/+dhzj8xbP5eTHGFlvWz7z6BX+2a/+Lr/waxv+9fN0nM8UFfCH5/CG18K55Rxla6xymGLBfqnZ39ljWSuisjgXsDpw+bjn2mbFtu/ZuMBMRTqg1op5Ydh0PZ2PzErLsq5xEXaqEpNsUroAu7UdHANidLR9ROlIZUvKosBYQ1EYDhaFLECteLRFJaac2lgKLa263vkRep8Wd+cDs9Jwdd0PFIRlLVYyiyqpqSTwQVZOIYahksyzqKYPiQYhiTbLQUVkphODZ9MDvmPrDfNCIPK5WiiM6Gu6qNFBqg/nZC523PgBLLOclVRGEITZYeC4lVZWTnCi4hIpCtn1bzo5vmWlT5yPyo7E9rbrOW7k/GTPP5NEsjedEL9d1AOBOYsq53MzuAskGkRWmAHh2eVElZ0VnJOWb22lMj3aOrquo3VCveijVOEeSfy5zemjGnQ8CyvGrJvWsW19ak/HlDQZSfJaD5qlRkny3TatXBNdizIiZJBpJNlV4XjbCw0hKC7slCzqYvh/oSPGimhBFpVe1pa6tGzbnitrR21hVhXMK0m8fVCJ4jAq0gyu7BMZsdPndKAkxVE1JV+PmdaRE2BOjDaJRG862ZxdWQd2Z2JhtDsvcc4RlZy/i3szLuwIpeLZJKmnSmxPlQhfqLjTCe+20BKqquIbvuEbqOua7XbL//l//p888sgjt+OlX5QRY+R4veVXP/4FfuqXP8lPfuHOHcu/Abz+VXD3hYrdWUVVFFhraLoocPUoyLNVq7E60PY9l1Yr1s2Wa4fHbJSjQlPO5+zPZxRFRWks0XQcr9a4zlMVHqst69azqME72f2vW8e8tHReY7VhVskcUCsgdERfMJ9LNbj1MsNxQTMrAtteU+PZbHsar9mrIk00ojeZLX1Se2ZZwqYX1QtrVSL6xoHXFZVBJSmyKnnPDW4ELgFEtCBF90slrg5OsSgCYFP1p1j3Ea2FjJzpD5Ic9TDP2vaRpneSZILhwtImrpu0BIV3p/FBADNKhSG5zArFodfoKG2zQguXblHFoSXpwghE6INsEDKtQBEpbTkktjYp+qy6QGUjDVKR2KSEkkEhOAFm7M0M1oqgdnAdV7cRHYXEbUySg1Oaw02PJvBoI1WcimHQH900jsWsoCg0e3NFCIoiVUW1EQBG70B5EfquZ4q+EJ3RGMEktRSUbBryeS1S1VwYRbUo06ahHKqjjGrsnOJo65I+qOFgIXPSo620SmdVQUybsr15gdX90AItjCIUhr2ZfB+VTSbCLncH9CAWECLoKDSJ0iqsMcyL0SljeIwaSeSdi6ObRvCsW7A4GmWGKjgLX+/MFYtaqr6DeY/Dcj46oi7Ybh2N88wLJRZPacMFo//jMyW/p6ImvJLmdTeK55zwfvEXf5H3v//9/MRP/ARXrlxhNpvxzd/8zTz44IO34/hedBFC4HjT8qsf/zz/xU98it+7Q8exBL7Uwpd/KVzc28Wrgr5vOG4DZW+orcha9d2G42Yji3zTEYqaMmy51BpWoUNjWMxrlCqxSuN6h2+3dM7hm4b5bE6lDMoYjtsWWkNhLIuyptABFyIGhwaON55AJAZFg6ayns225dqqo0gixbNKFPa7ZsOjl6BUHdV8zmNbT2FlIRdrGyGBawXGlBRlpCqLgVrQ9p5FbVPlENAqt9XMcFM3Tjzf+l7mjosi0nQCqkFpglfsmjTrSY7j81rcxsU0tAeg6WVxlGQXkkWRYqeQlm2VlFkaJ/O5VQt7taLzUsXWVirGzgUWpefSSrGsZMGeV3aoGtreo4JHMI+iunK4SXOeJLzcO4+KguJbb1tWbcC7nqgLLiwtpS4GBRljDIHIqovMClj3inlKpk9c6wXRuW0IARQebSzLWvRHV9tIDI7OS6WyUxmKuuRgqcEY7tm1mKJiGWReuZMq0zz7U0qxnBUsKjMk3hDCsIkprR4SRa6GYvBpTiqzS02gSxzAGCOrJs1LnVSEpRHUb9N19EHh+o7NtqEuNHuLClWVSVYtGQs7xcxGdmYFR+uGJ448u7UWJZOo0LFji6E08n35ILPgTRvYrTVBFxCzHubEzSAnjyjXRqkDV7djK7os5PuwRjYBmZZQVpZzVhPiTPiOTcvVjccYw15dsjcvqKoCHyPrpmPb+WEGXlgzkPmfTTwTR+9Otzyf77ilhPfRj36U97///XzgAx/gC1/4Alpr/tgf+2M8+OCDfP3Xfz2LxeJ2H+eLJjoX+OTnHueH/9mdS3Z3AfcC916EsqoprWHbdzx2vKbbQh9AeQgWQgeqAqIYuV6cw7ZrKY2hcIraBtbrlrL2XIs1Ot3ola1YLhRlWVEUCheFEG1dYJluOK0NWknSicpgQ0vvA+u+w7mWIzTXVoq6sHhluWu3oDca53uuHXV4D+vQsUtBYSEgrug7aaFE26HCOdx6dOjovRo4fjH4gcPWB0WRqATe9ZJ8DKDtoGF41ILtey4dd2itObewVFWEKFDxupQFJIM85qUWS5+2o+/l5ldEaquGRd2FlFz75MQQS5Y1tAFi9ANaMfPYtkGxV0W2vWNearwT884mcckymCd6ab1tmo55qQfllKY1xJTU100ghEjwmnpm2DrFZuUHmsFOLZXRzEY2TQ/KsV11XF57rh2uKcsSrRXWFmzbyMworm0ihS3Y29V0vUe3DmsU53Zr9hflMBNV2gzGuVlrVCOVYOc8pRGAhk8zSxIvsSzMAO4RsIXI1ZVR6Cs4sSTqXFagkWr0yeOApcNHQUAWWtRzqmLixqANbTAEF+nWkaXrB6Wbda/YKxVdUBRK+Jk+eC4dNczrwKJUrJyiNIG2g2XiaK47acNeXStKm4BQFrqgWZRjNU4UFKf4QWbbI5V8JO2gSpOFvafztjw3XXVSKWugSjJmgs6Vnzd9SLJ1Hb2TeeK9+xVVVd22teXlTlG46YT30EMP8f73v58f/dEf5Xd+53eIMfIVX/EVfMd3fAfvete7uHjx4vN5nC+K2Gw2/NrvPsz/9wOf4NE7dAwaMWltgSevgTcNDz/ZsNnCdpMW2h62DgpEg7EFdgzs70K/v2ERYV0ESgVrB3XZ88S6x3YNbSM3mEEIuncf7DHTNevO0wWPcoGuKonbli5qLDArC+rScGV1zCbAXAUwJTZGHI7L25aqsGw2M5yPdA6M8jhtqbRBG8Ws0hSFTtY+geONow8dtSW1+xRX1n7g9+3OS4wW4EjTOazRNCFSFbBuE3jCGAqrUZ0sVDMrVdi8gJgSmsGzcZGZkTmYwUtLMyER8+wlt0sjYmWzU2V1fLGjUcGJ2asWUI+Knm0XBv82RRwsgkDmh6s2cK1xzKwsrF3X0XmZNzkfuHzYsd5u0MayO5M56LWVY1FFSBuNqiqYzTRBC0LVhci1bWR/JouyoD8NxkuSefwa9E5jixnVrOLijiTQ6PsBxFJYM+h/ZvkxM3Gg8EGSW+tk8Xe6YFkkrmERKXwcbHRyEp+VhnldDMhCYkiJfQS9lFbT9UIfWW9b8feziqNtoDSwbaEsNdpamiDn+HDTslNrDpYFG20ok23U7kwRUFRpLlknybJZoYgeZjbS92LAqxW0wbBTK45bmV02TkQOtk3LuovJJkjayatGgFnHm9HpfNu0PH6tQyGSeUVZcX5hmFcVSos6z6YTPVjRHxWgUVQi80ZwOCet8roU6ojSehAi36ml5dv3jsN1z9HGYXTkuFnwJfdw25Ley73ledMJ7/Wvf/3w9/d8z/fw4IMPDj97uYdzjscvH/LTH/4V/s5H/DM/4XmMiAhPz4H1FjYPi5p+gyQ3B1wC+vSY8+k5xkPdQt3DlQ7Q4D20XhzNdRLHXW2gLGC5B/MIj64ajlZrOu9lMSgUWlc0weGjYVFZ7q9mNM7gTAEq4jTslZZ1F1mWJZ0TWkCPwrUyo6uLgnsOKrrese0Y0Gyt83RNx5Wjjqq0zGcF80qL0n9GOXoxU11WCd2XHLhLHXAuYmNP12nm1hKCgB5mhbRyzi0MXW1FjcQIMIAYOGwj5xaKPsDhuuFo61hWgjg83jqB8xeC6vPe80RnOJh5tpik/SjQ8uOu56gF7Rtab4ghsL9TDdSHrutxHiob6JxiWSsOvVSr661UUyqW4t8XeiKRSoulTQia/aUSxZHKDLJtWon+ZQjC4bt7V+Z4pRXHcKsCC+t5Yg0XFpE2GIy23LVbUpTV4Mk3gCpS6y07O+TW3Lbz2KS2ctyLK3urDHUh887SJIJz8Bxv+sEMVSgZqcXu/KizGUdD18w7XKcqqY+GuhKHjlkp18/9S9n8+BCxquOo0xQGtLFsekmYtrDMjaPHYFxD42TGt7+sSRaxHK7aQT+0NMKHu3ffiGGs9UOSDlF+17SevldcMBpb11Q2suoA/OCWcW3d0XU9Xd/Ru5oLZaSnwCMX57oJxOhZbSN917J2ht0Kzu0taZ3MCqtCKBoHc4NOWqFaJXeHIC1R5w0RRwye4yayv/Rc2wb2lZDiZ4XQW241Xu6yZDd9Zr7t276NBx98kK/8yq98Po/nRRUxRlbrDR/5zU/z7p/+7J0+HECSlwOO0p/Pn8LYqvQYjXy5BXANSYhHG9jbQKlAW3C9JMbKyk593UP0UgnGLln8mJbLAUIQ08w6Rp5oe85bB9rSNg3XygKD5/h4w9o5dqwhzuZCQu8MOva0waCDpipLPAZjSFwusAaOtoGoHW3bsW16mnaDcyU7ZU1BzdbJzpsQCTFi8NRWEiGkmYMuKJDF0kbHpZVDKzcgNtuEvnM+sNoID613ksgNntVKZLe6tsMHxdoaShNZbzxRwc7cEqJiu+2pK83hkaYqNZuUqGTm1uF8x7Vtz15dYJRms91K1aSlkiu0whlLVRquHjvRVgwBo2XRVdqgDcznortorGF3JlD4LmhmxtMEM9oWeQeaQYXFFjLfMsZQawEAbZxhpwpEZty/FFRjbsdGELWZ4BNy0FEWlnnpB0rDqg0D76ztZP5XGMX+ssaqQgj0CXWYk1Lr1KBp2vXiWdf3QsO4tu4pjczB+r5n0wYqK+14Iri+5UofaNstmJLdusD1M4y17C9KUJod7Vk3QRCkrbT8iqLgUENZRC5d6ygKjdWRddOLFiuRyytH2/Y0TUNUmsrA8bGlD5a9ucarYkDEhhDoe49SZvAy1EqxPwOQ1nff9zzmHW3fUSi4uGuISrNbJok652g70X51zvHQI1do+sDezPClr5G2Z+/FdWJZizLLvJKlOUThY26bloevtvi+FcWdsuD8Uug5pXI0Th7fOFieWtVvdS73VJSHl3LcdML7r/6r/4qmafjABz7Apz/9ac6fP8/Xfd3Xce+99z6fx3dHwnvPteMNn3nsGv+/9/0mH7rTB/QsQiOVXkAS3TL97dLvLwP3RNjvpWXZOnAOVrJm0gHNBnZmsvh89nPge9jdgVkJRz2o7ipPOJjXx+zWshPd9j1dhL5zMDMcHR7jtGGmNXVVS4sxGEoMO1UByrBNHK0YA6U19E5cFZwH4xbsLEqWOwtpdUXHNhmt+ui4fNxxuNrK4tp3BAyLMrLtAm3bsWp7fJR5lFapBegbNt4krzHR74zBk1SXacR2mxA9JiqMNZgoPnTiKlBSFZbWe65dbbA60neOXoEhELXFdVu+sNpQhIjra/YWczYusKwKtClZVko81IjJksYTMBij2FmUom9ZCneuqgxVVQ0yXjGKZU8TpELdBItWkiCNkfalRhKTi7LIZ3PaGGHroS6klRqSWHeGzmutWW2awfXg3E6ND5ZZCZsukbGdo/PCRYxoqkJR9ZHGia3TOknIzUvNuukJ3nHkfHK973E+0rQ9TdfRCtyReVXTOhGTDiiZDxclgZqOnsu9Y6Y09AaPRyUS//7ccqXxYh0V5Hs42vbMq55Se9bOUMQO15dEIp1zKDTed2z6hkevriDA7nJJZQ1Xn2hwfUdQkQtVzXw25+69BbYUMNi61VQm0LQiUXZuIeLbl49bHr3aErst215TVpGtN9wzD3zh8ob1Zsum8ewsRJDjytGWL1y+Siwstljw5LG4X+zNi1TBCXcx68QqpKK+ts3zO7CFzMONLWSuqsWmqPOycT0dtzqXC3F8rnqZzPRuOuE98cQTfNVXfRWf/vSnB1jufD7nJ3/yJ/nqr/7q5+0AnyratuV7vud7+Ef/6B9x9epV3vSmN/G3/tbf4o/9sT/23F/bRX77ocf5lv/1d2/Dkb6wcbrheoUx2QFsGYWsdTIDt+kxJVIR3u3g8HHZ+R+n1zx/BV51t3D+PnsIoYdiBvshsDFb+r6h7UmcJ03jg2hFxkjhAsddpLYGzQ47lRBvP3fpCqvOoXFUtmZWGc4tStZtYLNdcfmowm8sa1/QtK2AY6KmR+7EdZJ0chh2K0vroQ+OJnnzuRipbcWy1BgrC32lI1dXbhBxjtERlGWmAaXYtoHayPzPtS1tcCgfZOHrPL2zeO9ovSi0rEKgMAKCOKgLjoJitxJtzFlpWVQ1Pnh8hP1KOHplpalLy6w0tHUCNBTgVSFt2aiZGyEpC4laMzORKxuB/c8qi1YlcyvndV5I9emjwNd977jWipHuojJoY7AKrJFFc9N0dF2HMTI/2nZCkt5sGzqvMcpzvFEoGmLwrNqE8tx0HLeO6FqKoibWhoc3azZNx2q9IWrN3AK6AgLOw8p7LCKKrY3FIgLTjY9o1w7CB9GI8/ralVSFBqSy2tEO5Q1WdaxcIDpF0ygeDrBqHS54CltgUJRVRQyKLlpKHfHeQPB0fc+1pkcbIxJgvWITg7h9bI+Za8Phas2TjaPbwiftMW+4d8aifjX7VY2LhhDgsWsNTxx29L7js1Ghg+PJzRbnAtpE9uoF13wAZbhypeehy0/yO48dUgNfct9F9uYLDtdbtq1joRTK9Vy7dowrA48+aSktVKVlb2fB8QbqqpRKs7Scm2uct8wL4Q8WRcFerfBKDW1Ma6+fvWV+IDx73p0oH43/fjnETRPPv+3bvo1/8A/+Ae95z3v4o3/0j/KpT32K//w//8/Z3d3l937vhccrftM3fRM//uM/znve8x5+3+/7fbzvfe/jV37lV/jgBz/IW9/61pt6jUyCvHr1KrPFjihBNA3v/i9+gV9+no//pRhLYIZUgT79+9XAuQtwfAxEsDO4d18qiiZApcDM5AlFCa86v8sMTYPm85euEIy05mxZUeCoqiUHleHK1lFXhr7rsUXBpm0obcVeXWGNofUeEz1bF9gpLQFR5b+22dKHwNJoirJkfz6jTGK7Tbcm6iI5hVv60HPlqGM5K9mZldS2ZNN3aFEe5LAN1NZQliWLsqL3nkJrOtcLPD0GlO9oKDgoPaZYgt+yah1tgLt3Zmhtk6SUxxQzSiOweu8DVWnYmZeDrVHnEj+s0LRegA5tD9H3bHqPxuGiZa/WYCoUAWM0vYvgWxGs1pFyNsM7h9YGq3qxcMKhTEHwMqNabXvmpTiEr9ogoAnv2DqH8z1EhSlLVFBUpRW91NjTBei8Y7eqsCpy3Hi2oWPbepb1jOA7Gg/etxS6oC4MCsVuVVGVGqU0wTucV3gVKJRh07sERhJqRGmsmM+6SGkUpbUoZbh8dMRRiFjvicYSCTRNy7wqqQ0cLJbUVmFV5LAVgYUYDVvf0G47nPPo2PLo1S2XG7k2D/YqduqC403Pk+uWz35BZuIHO/Dlryk5v7uL8y1rrymi2BitomavKGlj5NJ6g8Fw725NXZU8dnRM6WHrPZ++dMjjVyA6uHgP/KFXLbHlHtoYLs7n1FUJyrDZdqA1WmkWc8v5vTmVlnNhlFAwIjLn3XaypZ2VMk+WWe1oAJwFxoWDOiq9ZCmyO007uNPE85tOeG94wxv4t/6tf4v/4X/4H4affeADH+Cbv/mb+djHPsYb3vCG5+0gT8e/+lf/ire85S383b/7d/mO7/gOAJqm4Y1vfCN33XUXH/rQzTUh88n/3CNPUNZzfvO3Psq7/9m15/HIX16xg9AjFjX4RmaKSwWzCsoSMAntWUPXiBXNfE/cBGKE1Tb9rIDew1EDezVJlzPQeigcmDlsV3CwC6XR7M7nHMwLXFCsmwYPLIuSolA8criha1qigXlZUpsCrE7qIYF5aamsoQ/gQgDf43TF/bsz9ha7HG02XNo0BNfSu5Y+Wu5bWpaLXSCikkq+J9L2PY0T/77C1ty7N+dw27P1ntBvsMWcRRmZl3M2fY8mcrhtcTFSWMu8KCmtyL2tmgaPVHY+Gvq+Zd10QCRay9IYtlGxKIRwvjev6F1PHzUmRrYut7wcB/MioR4rooK6KHni+BhlDbrv2DjP4bahtNB0Tix2oqdSBWvX07pA30gFv1dqzu/vsUAupAAAJmRJREFUUsTIUdPSx0CtDPPZjM4HOtdxvO0wOOpqhu+3bLzB9V4EmZVmWRec292hMgLGubbtafqWRWmFxtK0HPUOqxTzosDaguA7WhS+61nMagoU19otvUvz27JAY1D0eF1RKMXd585TKeGAhr5l4x1Ns+W4aYjaMreWbYCrzYZ241hvoTIwn4lsWtPBpUchlILo3blLrvO+hXkNVhlKa6l8jzOWfevRZYnrInuLkkvbhk3v6b1sdj7/xIqtg+NrcNddcj988bl9XnVulwfuOkddlYOl0LoT9ObdexWmqAZJu5ycBB0cB5cMYkii0KIqczAXtK3MggXpnEXHs7FuYc0o5RfEC3DgRkbR+lxWwkvM6jnZpUGEweOJn99K3OmEd9Mtzc997nP89b/+10/87K1vfSsxRh5//PEXNOH9+I//OMYY/tJf+kvDz+q65i/+xb/If/wf/8d8/vOf54EHHrjp1/ulX/9tvusX76SJz0szKpIKeyMVXwVsIzQNuEZskXYRwEyJtE93HpPnGuDcrozW3C64rQBmPv8EkOZORQ19L8i/soCNg1oFHq5WFEE6Z8onCobdCNfQwraX50XV0bcdJlkTVSUo3aI9UEgy3QbQvuXKzhH37lxloxV9E/Dac20VsLanixUXwhbvHC5CqaEJkU0vwIc+Ki7MC65tV7i+Y+16DleBg72G/cKyt2ugb2lQdG3LqmsJEQ5qQ2Fq0JHLR8esnacgMi8NV/pArcBoTQxwzSrKCI8pjXY9lzcLsXkJkWvbFe1WYPshQu+kmp5VMp8tS1m0t738f1CX8nC4lvPbOTi/17Jt5PHBwWwBbRE4Xl0jaqAXiosKsL/YMrNwaT1+P4V29L34uW18EtsuA9GDaxxl2HK1C3i3Zd3CzrygshYfYB08ldKoGFnqyNV1T5vc1lsURalo2p7eaA5KQ1HPCDHSd9nb0HNtu6HSAmp64miDUYo+BLa9Z9t1XEMAW0dH0HbQ9tCW6XxoAWbtnpdWfmmhuSooZhPk+rlrF0pb4ErDTjFHWU1dVmxNw1EMXNqsMQbKqKl0xesuFFBYmt1rPBJ6Ll+GEK7RYLiwt8PecobrongmWstuJVQSt2mFO5oBQK6XZNZtuHTk8a7BIbZBhTWUpeGJa5a7dmziFwo3MirDrFDMazGVXVQMJsTbTj535+Sz5r9XHRgr8m955pevF5FWe2lz9G464bVtS13XJ36W/++cu9FTnrf49V//db7kS77kuh1CRpB+9KMfvWHCa9uWtm2H/x8dHQHwnT93CV3Nn8cjfvlFjbQ0PWOyswqOolxUKySpHSPzwcvI/DA/dx9QDRx1YK9IUjQIwCakx8xb+bcH6gZ2nPyy7QVQs7uUBKejLK6LWhCfsZcWa9vL+8+R2eT5u6S91DSAhaKA2sCljfAR133Hhd0SbQ1LU1Es1jy2Fs3UAjEonVlLr00CiMh7RwKBEhUV2lbYaDmYN1INFIaFhrUSKTVtNd5rnAtc3XbMLdjCYI0ldIFOacpYsasDTfS4pqOoKvrOsdaG6DpMUci595Ej51m1EK3Bp393DnZK2GxhMROlGGvTPEYL8MUlcYIiyGZjUafEVcFyB2YF6EISg7dgS+iVzG7bCLPCoIzG7AT8xuMNXOl69qoSow137QUub1qKCJVW7BrNygll4JFD8A6udj0Xl4qqNFTVnNIWVAaubXvWG0e0sGMVRhvadS8JncCVNrJ0HRqNDwFdGGa6oNCFcAStZX+u8VrTp1b47iyyrGtQmvvvgePthq13RO9Z1iVdLxqnSlnOz0uUKdm0W0L0HLc99+8ssEXJoqpYrzd02mB8h04E8eMO7pnNCLrinp2KopxRKAVWo/YOKK8dorjKtbWoGx1tNXUrCNhLxxqbxMpnFTSdVGnZg3HbRLSB9dqii4Ijpyi1QmmLLTSd1+xURoA6RhERIYiysNjEHc38ulkhJsd7tVBWaiP3DAV0QWT8rE5I78n8LlsLTX/+UoxnRdj4zGc+w6/92q8N/z88PATgk5/8JPv7+9c9/s1vfvNzO7qniEcfffSG6ND8s6fS8Xzve9/L933f9z0vx/RSiH3gbqQq2ynkQl818AUk4VTpMSY9pkeshuo9MBFsDdut7PIQ2zCMheVMPLrKGo4ug1NQX0meaF5e7whJgi0yC7wAHOyDuQpOg23FY6wKkhjvnkFVSbXie1jMYecAigibDlwLsx24sNCURcHhtoWoOZgVhKLkcLVi00ZWa1nEFzXce24fHzxd19IE2CsUPZq91ZaoFQdVwcVz5zg3m3HP3pwnj1te17a4GKhtIchKY6itSZ5yEfC0fRABjRDxCAJTqoSKea1x0dJ1PUqJae6mbbm0bun6hsKWLEoRjb6ybaiM5lxdErCpbSqizcdtQ2EVMSj2ZxVV4jyuO0fbb+hcxPmWECNN69idzyhxXOkNJT2LqqbzkSJZ8JjCoKPn8eMmebiJBqhzsLdYcNfunM4r1u2GTefZm5UUCg7bnlXbcDBfMrdiunttsxUNS2BezplZUNqydT3LsmRWFNR1SfQd6w6+6NwRXTR0fcd9+3uUxlCWNqnGBK41DU/sbpiVhv2qwhrL1nWsm5atDywKw7wssVrT+UBtxQNP64LSRLQxdP0CrTRGC6rRO0+ZDF6zqLjWehAVCN7RB0NdiOpOCCTUZkFtA6aas1tB1AUqeqG5dD0uiPlzbWHTRWobab1mXor/Y5ZFO79jefWFXXAN8/kuD1ysWMzFaWTngqHxmspEqtLQ9gztSG0svhbrqwszT+M19+xGUSEqLTszSfKtV+xUImXnQxwc7rPDudZ60OEsC1Cq4Ga3+CM37yWc6VLc9AxPa33Dvm32ZrrRz7x/fkjar3vd63jDG97AP/tn/+zEzx966CFe97rX8ff//t/nPe95z3XPu1GF98ADD/DAe/7Xm67wlsjCPY0SeABJHO11zxjjy4B9C+fvgd0auihViO/BCKAMo2G5BDo49nD1EXjESXuwlB+zQqqmmI7HIhXROeT5u0tYLODuc3Awh0euQrWj+eK9Xc4dnMcHT11W7M4URxvP5eMjmranrmsuLiuOW8fVTc9+qVFGsXUR7XuMLYmx53DT0PnIbmUpbYEuanYKx3Ff4Ps1UZco1xKKGQt6elWwXh9yddPSth2L+YJ7DhbM6gXtdsPlpkN54WEJ5D5Sl0sWlZZ5A5F5WVDVlcDxm56uDyzmpbgQBOHTlVZEk7dtz3rTihu17/HJv66oZoPDeYzS5imNoBQ7F1nWhvmsFpftqhKj2bXA8QXtaAdPuj6kBUmPQs3ZNDUTuTPk3/lwwkKn7T3btqfrHSjhzmXhabTl/FIcrq9tHMF1AmrpRQtyWWmWc7HBWbcJwFAoXMwUCz04H4QgFkWZoF4XyRU+iLpJiKL20Qbhcm17UZaZlYZZVQxuDHkOJNZS0i7LLt5BWSyOTS+SbtpYUTNRAkYKaGaloU7yWjEKMOzqNjI3DlPORKJLJ/cERKLrynGDMYa7dkuiElPgGERXNCBmtmUh/oEuCBViUIFJqjjZT9AYae15zOA6DwyKL1meDhgI6VOLpLxEZuBHfm4MfnBnyAATH9XwuUsj7dZsXZWd6bO4twvZ7V6ddCBP4unZfDcb7+bk9VKOl8wM70d+5Eeez+N4VjGbzU4krhxN0wy/v1FU1c3rzv3gV1/ky97wRdx3cZ+6KocLz/lA2/UcrRuxKHEdfRS7m/V6zb/+/JN8+guX0HPLV776Lt7wutews5ixqAsR8w2jqGzTdoNs0ayuBtmlEMLgdD0rVCIFJz83YwaTSbg5Qmg26MwLdL5xp1p+eSid1eDzTZaH57mN8UzD6+eCAsuJY/r+2Sn8+Xzfp4udndv2Us86Fs+wB7vwwhzGbY+95Yy7n+73OwteddfzfxxStYgIwskonvf3VkpRTnLXdCamtQiSn8Xtj5tOeN/yLd/yfB7Hs4p7772Xhx9++LqfP/qoKFzed999z+r1fvv7voadnZ0Tu/Qb7aaUUoPO4HJe3/C13vSlX/y076W1pi5FB2Uxqzj/rI701sIYw/y6m3qMacvime6zZ2ptPBdpIjHPvPGTn8/3PYuzOItXRrwk9xF/8A/+QT7xiU8MoJMcv/zLvzz8/tlGdiouCwEavNRbB2dxFmdxFmdxMl6Sq/o3fuM34r3nH/7Dfzj8rG1bfuRHfoS3vOUtz4qScBZncRZncRavjLgtjucvdLzlLW/hT//pP813f/d388QTT/D617+e//F//B/5zGc+ww//8A/f6cM7i7M4i7M4ixdhvCQTHsD/9D/9T/yn/+l/ekJL85/8k3/C29/+9jt9aGdxFmdxFmfxIoybpiW8HONOQ2TP4izO4ixeSXGn19yX5AzvLM7iLM7iLM7i2cZZwjuLsziLsziLV0ScJbyzOIuzOIuzeEXESxa0cjsijy9P8/nO4izO4izO4vZHXmvvFHTkFZ3wLl++DHDG2zuLsziLs3gB4/Lly+zt7b3g7/uKTnjnzp0DxOvvTpz8FzKyUPbnP//5lzUi9exzvrzi7HO+vOLw8JBXv/rVw9r7QscrOuFl+bC9vb2X9UU2jd3d3VfEZz37nC+vOPucL6+4U9KNZ6CVsziLsziLs3hFxFnCO4uzOIuzOItXRLyiE15VVXzv937vTXvkvZTjlfJZzz7nyyvOPufLK+7053xFS4udxVmcxVmcxSsnXtEV3lmcxVmcxVm8cuIs4Z3FWZzFWZzFKyLOEt5ZnMVZnMVZvCLiLOGdxVmcxVmcxSsiXpEJr21b/vpf/+vcd999zGYz3vKWt/BzP/dzd/qwbip+5Vd+hb/6V/8qf+AP/AEWiwWvfvWr+TN/5s/wiU984sTj/vyf//Mopa7786Vf+qXXvWYIgR/4gR/gta99LXVd86Y3vYkf/dEffaE+0g3j53/+5294/EopPvKRj5x47Ic+9CHe+ta3Mp/Pueeee/j2b/92VqvVda/5Yvzen+p7yn8efvhhAP7IH/kjN/z9137t1173mi+Gz7larfje7/1evvZrv5Zz586hlOJ973vfDR/78Y9/nK/92q9luVxy7tw5/tyf+3M8+eST1z3u2VynN/uazzVu5nOGEHjf+97Hv/fv/Xs88MADLBYL3vjGN/K3/tbfomma617zqa6F7//+77/usQ8//DB/5s/8Gfb399nd3eVP/sk/yUMPPXRHPic8f+vO7fo+X5FKK3/+z/95fvzHf5z3vOc9/L7f9/t43/vexzve8Q4++MEP8ta3vvVOH97Txt/5O3+HX/qlX+JP/+k/zZve9CYee+wxfuiHfog3v/nNfOQjH+GNb3zj8Niqqvjv//v//sTzbySh9p/8J/8J3//938+73/1uvuIrvoKf+qmf4pu/+ZtRSvGud73ref9MTxff/u3fzld8xVec+NnrX//64d8f/ehH+Xf/3X+X3//7fz8/+IM/yBe+8AX+3t/7e3zyk5/kZ37mZ04878X4vf/lv/yX+eqv/uoTP4sx8q3f+q285jWv4VWvetXw8/vvv5/3vvf/3965R0V1XX/8OwwwM7yGAAOiyEOICvjkoTBCkLSBoAHNSlCoKAIN9ZGsaCNJtRGjTYiPmK40xUdMJNbgWipJSC0GIqmuAhKwglGDKbaiIkIQgRkew2Ng//7Ij7u4zACDjgKZ81lrFtzvOfecve++czb3nnMv7/LqTpw4UaPNseBnQ0MDduzYAWdnZ8yePRvnzp3TWu/OnTt46qmnIJVKkZaWhtbWVrz33nu4cuUKSktLYWpqytXV9TwdSZuPw8/29nYkJCQgICAAa9asgb29PYqLi7Ft2zZ8++23+Oc//wmBQMDb55lnnsGqVat42ty5c3nbra2tCA0NhUKhwJYtW2BiYoI///nPCAkJwaVLl2Bra/tY/exD3+OOXuNJBkZJSQkBoD179nCaSqUid3d3CgwMHEXLdKOoqIg6Ozt5WmVlJYlEIlqxYgWnxcfHk7m5+bDt3blzh0xMTGj9+vWc1tvbS8HBweTk5ERqtVp/xo+As2fPEgA6efLkkPUiIiLI0dGRFAoFpx06dIgAUF5eHqeNp7gXFBQQAHrnnXc4LSQkhLy9vYfdd6z42dHRQbW1tUREdOHCBQJAGRkZGvXWrl1LEomEbt26xWlnzpwhAHTw4EFOG8l5qmub+kAXPzs7O6moqEhj3+3btxMAOnPmDE8HwPNzMHbt2kUAqLS0lNOuXbtGQqGQNm/e/ADeDI6u8XwU444+42lwCS8lJYWEQiFvgCQiSktLIwB0+/btUbLs4fDx8SEfHx9uu+/EU6vVGr72Jz09nQDQDz/8wNOPHTtGAKigoOCR2TwU/ROeUqmk7u5ujToKhYKMjY0pJSWFp3d2dpKFhQUlJSVx2niK+9q1a0kgEFBVVRWn9SW87u5uamlpGXTfsejnUAOkvb09RUdHa+hTp06lX/3qV9z2SM5TXdvUN0P5qY3Lly8TAPrLX/7C0/sSXnt7O6lUqkH39/f3J39/fw09LCyM3N3dR2T7SNAl4elz3NFnPA1uDq+8vBxTp07VeEHrvHnzAPx8i2y8QUT46aefYGdnx9Pb29thZWUFqVQKGxsbrF+/XmNuq7y8HObm5vD09OTpfcejvLz80Ro/DAkJCbCysoJYLEZoaCj+/e9/c2VXrlyBWq2Gn58fbx9TU1PMmTOHZ/t4iXt3dzdOnDgBuVwOV1dXXlllZSXMzc1haWmJCRMmYOvWreju7ubVGS9+Aj/PP9XX12vED/jZ3oHx0+U8HUmbo01dXR0AaHxvAeDTTz+Fubk5JBIJvLy8cOzYMV55b28vLl++PKif//vf/9DS0vJoDB8GfY47+o6nwc3h1dbWwtHRUUPv0+7evfu4TXpoMjMzUVNTgx07dnCao6MjXn/9dfj4+KC3txe5ubnYt28fvv/+e5w7dw7Gxj+Hvra2Fg4ODhpzCKN9PExNTfHCCy9g0aJFsLOzQ0VFBd577z0EBwfj/PnzmDt3Lmpra3m29sfR0REFBQXc9niJe15eHu7fv48VK1bwdHd3d4SGhmLmzJloa2tDVlYW3n77bVRWVuL48eNcvfHiJ4Bh49fY2IjOzk6IRCKdz9ORtDna7N69G1ZWVoiIiODpcrkcy5Ytg5ubG+7evYv09HSsWLECCoUCa9euBQDOj+FiPW3atEfvyIC+9Tnu6DueBpfwVCqV1oMjFou58vHEjz/+iPXr1yMwMBDx8fGcPnBxQ0xMDKZOnYo//vGPyMrK4iaFx+rxkMvlkMvl3HZUVBRefPFFzJo1C5s3b0Zubi5n22D297d9rPo5kGPHjsHExATLli3j6Z988glve+XKlUhOTsahQ4ewceNGBAQEABg/fgIYNn59dUQikc5+jaTN0SQtLQ35+fnYt28frK2teWVFRUW87cTERPj6+mLLli1YvXo1JBKJzn4+bvQ97ug7ngZ3S1MikaCzs1ND71seLJFIHrdJD0xdXR0WL14MqVSKrKwsCIXCIetv3LgRRkZGyM/P57TxdDw8PDywZMkSnD17Fj09PZxtg9nf3/bx4Gdrayu++uorhIeH67TC7rXXXgOAcRvP4eLXv46ufo2kzdHi+PHjePPNN5GUlMRdsQ2FqakpXn75ZTQ3N+PixYsAxoeffTzMuKNvPw0u4Tk6OnKXyf3p07Qt8x6LKBQKREREoLm5Gbm5uTrZLZFIYGtri8bGRk5zdHREXV0daMA7xMfq8Zg8eTK6urrQ1tbG3eYYLJ79bR8Pcc/OzkZ7e7vG7czBmDx5MgBoxHOs+9nHcPGzsbHh/nLX9TwdSZujwZkzZ7Bq1SosXrwYBw4c0Hm/gbHu82M8xPphxh19x9PgEt6cOXNQWVkJpVLJ00tKSrjysU5HRwciIyNRWVmJf/zjH/Dy8tJpv5aWFjQ0NEAmk3HanDlz0N7ejmvXrvHqjtXjcePGDYjFYlhYWGDGjBkwNjbmLWQBgK6uLly6dIln+3iIe2ZmJiwsLBAVFaVT/b4HjAfGc6z72cekSZMgk8k04gcApaWlGvHT5TwdSZuPm5KSEjz//PPw8/PDiRMnuPksXRgYayMjI8ycOVOrnyUlJZgyZQosLS31Y/hD8jDjjt7jOaI1nb8AvvvuO43nlDo6OsjDw4Pmz58/ipbphlqtpqioKDI2NqacnBytdVQqFSmVSg09JSWFANAXX3zBadXV1YM+DzNp0qRRew6vvr5eQ7t06RKZmJhQVFQUpz377LPk6OjI8/fjjz8mAPT1119z2liPe319PRkbG9PKlSs1yhQKBXV0dPC03t5eWr58OQGgixcvcvpY9HOoZexr1qwhiUTCe1wiPz+fAND+/fs5bSTnqa5t6puh/KyoqCBbW1vy9vamxsbGQdvQdt4rlUpyd3cnOzs73jO4O3fuJAB04cIFTvvxxx9JKBTSG2+88XDODMFgfj6qcUef8TS4RSvz589HdHQ0Nm/ejPr6enh4eODIkSO4efOmxsKAschrr72Gv//974iMjERjYyM+++wzXnlcXBzq6uowd+5cxMbGcq/0ycvLw+nTp/Hss89iyZIlXH0nJyds2LABe/bsQXd3N/z9/ZGdnY2CggJkZmYOOy/4qFi+fDkkEgnkcjns7e1RUVGBjz76CGZmZrxXLL3zzjuQy+UICQlBcnIy7ty5g7179yIsLIz32q2xHvfjx49DrVZrvZ1ZVlaG2NhYxMbGwsPDAyqVCl9++SWKioqQnJwMHx8fru5Y8vOvf/0rmpubuRV3p06dwp07dwAAr7zyCqRSKbZs2YKTJ08iNDQUr776KlpbW7Fnzx7MnDkTCQkJXFsjOU91bfNx+WlkZITw8HA0NTUhJSUFOTk5vP3d3d0RGBgIAEhPT0d2djYiIyPh7OyM2tpaHD58GLdv38bRo0d5bxVZt24dDh06hMWLF2PTpk0wMTHB+++/DwcHB25+93H62dTU9EjGHb3Gc0Tp8ReCSqWiTZs20YQJE0gkEpG/vz/l5uaOtlk6ERISQgAG/RARNTU1UVxcHHl4eJCZmRmJRCLy9vamtLQ06urq0mizp6eH0tLSyMXFhUxNTcnb25s+++yzx+0ajw8++IDmzZtHNjY2ZGxsTI6OjhQXF0fXr1/XqFtQUEByuZzEYjHJZDJav3691r80x3LcAwICyN7eXusV9Y0bNyg6OppcXV1JLBaTmZkZ+fr60oEDB6i3t1ej/ljx08XFZdDztP9D9VevXqWwsDAyMzMja2trWrFiBdXV1Wm0N5LzVNc2H4efVVVVQ35n4+Pjuba++eYbeuaZZ2jChAlkYmJC1tbWFBYWRt9++63Wvqurq+nFF18kKysrsrCwoOeee07rd+Rx+Pkoxx19xZP9x3MGg8FgGAQGt2iFwWAwGIYJS3gMBoPBMAhYwmMwGAyGQcASHoPBYDAMApbwGAwGg2EQsITHYDAYDIOAJTwGg8FgGAQs4TEYDAbDIGAJj8FgMBgGAUt4DAaDwTAIWMJjMBjjgs7OTiQmJsLZ2RlWVlYICAhAcXHxaJvFGEewhMdgMMYFarUarq6uKCwsRHNzMzZs2IDIyEi0traOtmmMcQJLeAzGELz11lsQCAQ87dNPP4VAIMDNmzdHxyg9s3v3bkyfPh29vb2jbcqQmJubIzU1Fc7OzjAyMkJMTAxMTU3xn//8h6tz4MABODs7o7OzcxQtZYxVWMJjjEn6koq2/3TM0B9KpRK7du3CG2+8ASMjI5w4cQICgQBffvmlRt3Zs2dDIBDg7NmzGmXOzs6Qy+Uaem9vL2QyGXbv3q13269fv47GxkZ4eHhw2urVq9HV1YWDBw/qvT/G+IclPAZjhKxcuRIqlQouLi6jbcpDc/jwYajVasTGxgIAgoKCAACFhYW8ekqlElevXoWxsTGKiop4ZdXV1aiurub27U9paSkaGhqwePFivdqtUqkQFxeHzZs3QyqVcrpYLEZ8fDzef/99sP98xhgIS3iMcUtbW9sDlT0sQqEQYrFY41bneCQjIwNRUVEQi8UAgIkTJ8LNzU0j4RUXF4OIEB0drVHWt60t4Z0+fRouLi7w9vbWm83d3d2Ijo6Gh4cHUlNTNcqXLVuGW7duab0SZRg2LOExxgV9c2kVFRX4zW9+gyeeeIIbYIcqu3XrFtatW4dp06ZBIpHA1tYW0dHRWuffCgsL4e/vD7FYDHd390Fviw2cwxtJH322/ve//8Xq1athbW0NqVSKhIQEtLe38+rW1NQgKSkJEydOhEgkgpubG9auXYuuri5encTERDg4OEAkEsHb2xuHDx/W6ZhWVVXh8uXL+PWvf83Tg4KCUF5eDpVKxWlFRUXw9vZGREQEvvvuO958X1FREQQCARYsWKDRR05ODnd11+d7ZWUl4uLiIJVKIZPJsHXrVhARqqursWTJElhZWWHChAnYu3evRnu9vb1YuXIlBAIBjhw5ovWPDl9fX9jY2OCrr77S6TgwDAfj0TaAwRgJ0dHRePLJJ5GWlqZxy0pb2YULF3D+/HnExMTAyckJN2/exP79+7Fw4UJUVFTAzMwMAHDlyhWEhYVBJpPhrbfeglqtxrZt2+Dg4DCsTbr20Z9ly5bBzc0N7777LsrKyvDxxx/D3t4eu3btAgDcvXsX8+bNQ3NzM5KTkzF9+nTU1NQgKysL7e3tMDU1xU8//YSAgAAIBAK8/PLLkMlk+Prrr5GUlASlUokNGzYMaff58+cBAD4+Pjw9KCgIR48eRUlJCRYuXAjg56Qml8shl8uhUChw9epVzJo1iyubPn06bG1tee3U1dWhvLwcO3bs4OnLly+Hp6cndu7ciZycHLz99tuwsbHBwYMH8fTTT2PXrl3IzMzEpk2b4O/vj6eeeorb93e/+x1qa2uRl5cHY+PBhy8fHx+NW68MBojBGINkZGQQALpw4QIREW3bto0AUGxsrEbdocra29s1tOLiYgJAf/vb3zht6dKlJBaL6datW5xWUVFBQqGQBn5N+myrqqoaUR/9bU1MTOTpzz//PNna2nLbq1atIiMjI87//vT29hIRUVJSEjk6OlJDQwOvPCYmhqRSqVa7+vPmm28SAGppaeHpP/zwAwGgP/3pT0RE1N3dTebm5nTkyBEiInJwcKD09HQiIlIqlSQUCumll17SaP+TTz4hiUTC2dHne3JyMldHrVaTk5MTCQQC2rlzJ6c3NTWRRCKh+Ph4Trt58yYBILFYTObm5tznX//6l0bfycnJJJFIhvSfYXiwW5qMccWaNWtGVCaRSLjfu7u7cf/+fXh4eMDa2hplZWUAgJ6eHuTl5WHp0qVwdnbm6nt6eiI8PHxYm3TpYzhbg4ODcf/+fSiVSvT29iI7OxuRkZHw8/PT2FcgEICI8PnnnyMyMhJEhIaGBu4THh4OhUIxaN993L9/H8bGxrCwsODpnp6esLW15ebmvv/+e7S1tXGrMOVyOXf1VFxcjJ6enkHn70JDQ3nHBwB++9vfcr8LhUL4+fmBiJCUlMTp1tbWmDZtGm7cuMFpLi4uICKoVCq0trZyn+DgYI2+n3jiCahUKo3bxAzDhiU8xrjCzc1tRGUqlQqpqamYPHkyRCIR7OzsIJPJ0NzcDIVCAQC4d+8eVCoVnnzySY39p02bNqxNuvQxkP6JFfh5gAaApqYm3Lt3D0qlEjNmzBi0z3v37qG5uRkfffQRZDIZ75OQkAAAqK+vH9Z2bQgEAsjlcm6urqioCPb29tzy//4Jr+/nwITX3d2NM2fOaF2dOdB3qVQKsVgMOzs7Db2pqemBfKD/v6X9S1hYxNAfbA6PMa4YeLUwXNkrr7yCjIwMbNiwAYGBgZBKpRAIBIiJidHbg9YP0odQKNSqk45L6fvajYuLQ3x8vNY6fXNsg2Frawu1Wo2WlhZYWlryyoKCgnDq1ClcuXKFm7/rQy6XIyUlBTU1NSgsLMTEiRMxZcoU3v6FhYVQKpVYtGiRRr/afH/Y4zGQpqYmmJmZDXm+MAwPlvAYv2iysrIQHx/PW/HX0dGB5uZmblsmk0EikeD69esa+/d/i8fD9DESZDIZrKyscPXq1SHrWFpaoqenR2OVpa5Mnz4dwM+rNQcmx/7P4xUVFfEWwPj6+kIkEuHcuXMoKSnRmtRycnLg5eUFV1fXB7LtYamqqoKnp+eo9M0Yu7BbmoxfNEKhUOMq4cMPP0RPTw+vTnh4OLKzs3H79m1Ov3btGvLy8vTSx0gwMjLC0qVLcerUKa1vmiEiCIVCvPDCC/j888+1JsZ79+4N209gYCAAaO3Dz88PYrEYmZmZqKmp4V3hiUQi+Pj4ID09HW1tbYPO3+n7YfORUFZWpvXNLwzDhl3hMX7RPPfcczh69CikUim8vLxQXFyM/Px8jSX027dvR25uLoKDg7Fu3Tqo1Wp8+OGH8Pb2xuXLl/XSx0hIS0vDN998g5CQECQnJ8PT0xO1tbU4efIkCgsLYW1tjZ07d+Ls2bOYP38+XnrpJXh5eaGxsRFlZWXIz89HY2PjkH1MmTIFM2bMQH5+PhITE3llpqam8Pf3R0FBAUQiEXx9fXnlcrmcu6IdmPCqqqpw7do17N+//4H9fxguXryIxsZGLFmyZFT6Z4xdWMJj/KL54IMPIBQKkZmZiY6ODixYsAD5+fkaqy9nzZqFvLw8/P73v0dqaiqcnJywfft21NbWDpvwdO1jJEyaNAklJSXYunUrMjMzoVQqMWnSJERERHDP9Tk4OKC0tBQ7duzAF198gX379sHW1hbe3t7c83zDkZiYiNTUVKhUKo35rqCgIBQUFHC3MPuzYMEC7N27F5aWlpg9ezav7PTp05BKpVofRH8cnDx5Es7Oznj66adHpX/G2EVADzorzGAwxj0KhQJTpkzB7t27eY8FPAyLFi2ChYUFTpw4oZf2RkJnZydcXV3xhz/8Aa+++upj758xtmFzeAyGASOVSvH6669jz549elu1unDhQmzcuFEvbY2UjIwMmJiYDPm8JsNwYVd4DAaDwTAI2BUeg8FgMAwClvAYDAaDYRCwhMdgMBgMg4AlPAaDwWAYBCzhMRgMBsMgYAmPwWAwGAYBS3gMBoPBMAhYwmMwGAyGQcASHoPBYDAMApbwGAwGg2EQsITHYDAYDIPg/wA8OnksuhSNVwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 450x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# check that PV energy is roughly proportional to irradiance\n",
+    "# Loops and other features in this plot can indicate things like\n",
+    "# time zone problems for irradiance transposition errors.\n",
+    "fig = ta.plot_pv_vs_irradiance('sensor')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the sensor based degradation results\n",
+    "fig = ta.plot_degradation_summary('sensor', summary_title='Sensor-based degradation results',\n",
+    "                                  scatter_ymin=0.5, scatter_ymax=1.1,\n",
+    "                                  hist_xmin=-30, hist_xmax=45)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 450x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot a time-dependent median (plus confidence interval) of sensor-based degradation results\n",
+    "fig = ta.plot_degradation_timeseries('sensor', rolling_days=365)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The TrendAnalysis class also has built-in methods for plots associated with soiling analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:173: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 450x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = ta.plot_soiling_monte_carlo('sensor', profile_alpha=0.01, profiles=500)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:233: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 450x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = ta.plot_soiling_interval('sensor')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:273: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 450x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = ta.plot_soiling_rate_histogram('sensor', bins=50)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also view a table of the valid soiling intervals and associated metrics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>start</th>\n",
+       "      <th>end</th>\n",
+       "      <th>soiling_rate</th>\n",
+       "      <th>soiling_rate_low</th>\n",
+       "      <th>soiling_rate_high</th>\n",
+       "      <th>inferred_start_loss</th>\n",
+       "      <th>inferred_end_loss</th>\n",
+       "      <th>length</th>\n",
+       "      <th>valid</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2010-03-10 00:00:00-07:00</td>\n",
+       "      <td>2010-04-08 00:00:00-07:00</td>\n",
+       "      <td>-0.001577</td>\n",
+       "      <td>-0.003637</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.063788</td>\n",
+       "      <td>1.018062</td>\n",
+       "      <td>29</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2010-04-09 00:00:00-07:00</td>\n",
+       "      <td>2010-06-11 00:00:00-07:00</td>\n",
+       "      <td>-0.000955</td>\n",
+       "      <td>-0.001237</td>\n",
+       "      <td>-0.000640</td>\n",
+       "      <td>1.024589</td>\n",
+       "      <td>0.964412</td>\n",
+       "      <td>63</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2010-06-15 00:00:00-07:00</td>\n",
+       "      <td>2010-07-13 00:00:00-07:00</td>\n",
+       "      <td>-0.000594</td>\n",
+       "      <td>-0.001868</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.072710</td>\n",
+       "      <td>1.056087</td>\n",
+       "      <td>28</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2010-10-11 00:00:00-07:00</td>\n",
+       "      <td>2011-01-28 00:00:00-07:00</td>\n",
+       "      <td>-0.001143</td>\n",
+       "      <td>-0.001301</td>\n",
+       "      <td>-0.001000</td>\n",
+       "      <td>1.057288</td>\n",
+       "      <td>0.932740</td>\n",
+       "      <td>109</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2011-02-11 00:00:00-07:00</td>\n",
+       "      <td>2011-03-14 00:00:00-07:00</td>\n",
+       "      <td>-0.001913</td>\n",
+       "      <td>-0.002793</td>\n",
+       "      <td>-0.001307</td>\n",
+       "      <td>1.020735</td>\n",
+       "      <td>0.961439</td>\n",
+       "      <td>31</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       start                       end  soiling_rate  \\\n",
+       "5  2010-03-10 00:00:00-07:00 2010-04-08 00:00:00-07:00     -0.001577   \n",
+       "6  2010-04-09 00:00:00-07:00 2010-06-11 00:00:00-07:00     -0.000955   \n",
+       "9  2010-06-15 00:00:00-07:00 2010-07-13 00:00:00-07:00     -0.000594   \n",
+       "12 2010-10-11 00:00:00-07:00 2011-01-28 00:00:00-07:00     -0.001143   \n",
+       "15 2011-02-11 00:00:00-07:00 2011-03-14 00:00:00-07:00     -0.001913   \n",
+       "\n",
+       "    soiling_rate_low  soiling_rate_high  inferred_start_loss  \\\n",
+       "5          -0.003637           0.000000             1.063788   \n",
+       "6          -0.001237          -0.000640             1.024589   \n",
+       "9          -0.001868           0.000000             1.072710   \n",
+       "12         -0.001301          -0.001000             1.057288   \n",
+       "15         -0.002793          -0.001307             1.020735   \n",
+       "\n",
+       "    inferred_end_loss  length  valid  \n",
+       "5            1.018062      29   True  \n",
+       "6            0.964412      63   True  \n",
+       "9            1.056087      28   True  \n",
+       "12           0.932740     109   True  \n",
+       "15           0.961439      31   True  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "interval_summary = ta.results['sensor']['srr_soiling']['calc_info']['soiling_interval_summary']\n",
+    "interval_summary[interval_summary['valid']].head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Modifying and inspecting the filters\n",
+    "Filter parameters for the first filtering step can be adjusted from their default paramters by modifying the attribute `TrendAnalysis.filter_params`, which is a dict where the keys are names of functions in `rdtools.filtering`, and the values are a dict of the parameters for the associated filter. In the following example we modify the POA filter to have a low cutoff of 500 W/m^2 and use an alternate method in the clipping filter."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Instantiate a new instance of TrendAnalysis\n",
+    "ta_new_filter = rdtools.TrendAnalysis(df['power'], df['poa'],\n",
+    "                                      temperature_ambient=df['Tamb'],\n",
+    "                                      gamma_pdc=meta['gamma_pdc'],\n",
+    "                                      interp_freq=freq,\n",
+    "                                      windspeed=df['wind_speed'],\n",
+    "                                      temperature_model=meta['temp_model_params'])\n",
+    "\n",
+    "# Modify the poa and clipping filter parameters\n",
+    "ta_new_filter.filter_params['poa_filter'] = {'poa_global_low':500}\n",
+    "ta_new_filter.filter_params['clip_filter'] = {'model':'xgboost'}\n",
+    "\n",
+    "# Run the YOY degradation analysis\n",
+    "ta_new_filter.sensor_analysis()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>normalized_filter</th>\n",
+       "      <th>poa_filter</th>\n",
+       "      <th>tcell_filter</th>\n",
+       "      <th>clip_filter</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2010-02-25 14:16:00-07:00</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-25 14:17:00-07:00</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-25 14:18:00-07:00</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-25 14:19:00-07:00</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-25 14:20:00-07:00</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           normalized_filter  poa_filter  tcell_filter  \\\n",
+       "2010-02-25 14:16:00-07:00              False       False          True   \n",
+       "2010-02-25 14:17:00-07:00               True       False          True   \n",
+       "2010-02-25 14:18:00-07:00               True       False          True   \n",
+       "2010-02-25 14:19:00-07:00               True       False          True   \n",
+       "2010-02-25 14:20:00-07:00               True       False          True   \n",
+       "\n",
+       "                           clip_filter  \n",
+       "2010-02-25 14:16:00-07:00         True  \n",
+       "2010-02-25 14:17:00-07:00         True  \n",
+       "2010-02-25 14:18:00-07:00         True  \n",
+       "2010-02-25 14:19:00-07:00         True  \n",
+       "2010-02-25 14:20:00-07:00         True  "
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We can inspect the filter components with the attributes sensor_filter_components and clearsky_filter_components\n",
+    "ta_new_filter.sensor_filter_components.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2010-02-25 14:16:00-07:00    False\n",
+       "2010-02-25 14:17:00-07:00    False\n",
+       "2010-02-25 14:18:00-07:00    False\n",
+       "2010-02-25 14:19:00-07:00    False\n",
+       "2010-02-25 14:20:00-07:00    False\n",
+       "Freq: min, dtype: bool"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# and we can inspect the final filter sensor_filter and clearsky_filter\n",
+    "ta_new_filter.sensor_filter.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
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+             ],
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+            "type": "histogram2dcontour"
+           }
+          ],
+          "mesh3d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "mesh3d"
+           }
+          ],
+          "parcoords": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "parcoords"
+           }
+          ],
+          "pie": [
+           {
+            "automargin": true,
+            "type": "pie"
+           }
+          ],
+          "scatter": [
+           {
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
+            },
+            "type": "scatter"
+           }
+          ],
+          "scatter3d": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatter3d"
+           }
+          ],
+          "scattercarpet": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattercarpet"
+           }
+          ],
+          "scattergeo": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergeo"
+           }
+          ],
+          "scattergl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergl"
+           }
+          ],
+          "scattermapbox": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattermapbox"
+           }
+          ],
+          "scatterpolar": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolar"
+           }
+          ],
+          "scatterpolargl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolargl"
+           }
+          ],
+          "scatterternary": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterternary"
+           }
+          ],
+          "surface": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
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+              0.7777777777777778,
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+              0.8888888888888888,
+              "#fdca26"
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+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "surface"
+           }
+          ],
+          "table": [
+           {
+            "cells": {
+             "fill": {
+              "color": "#EBF0F8"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "header": {
+             "fill": {
+              "color": "#C8D4E3"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "type": "table"
+           }
+          ]
+         },
+         "layout": {
+          "annotationdefaults": {
+           "arrowcolor": "#2a3f5f",
+           "arrowhead": 0,
+           "arrowwidth": 1
+          },
+          "autotypenumbers": "strict",
+          "coloraxis": {
+           "colorbar": {
+            "outlinewidth": 0,
+            "ticks": ""
+           }
+          },
+          "colorscale": {
+           "diverging": [
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+             "#8e0152"
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+            [
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+             "#c51b7d"
+            ],
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+            ],
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+            ],
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+             0.5,
+             "#f7f7f7"
+            ],
+            [
+             0.6,
+             "#e6f5d0"
+            ],
+            [
+             0.7,
+             "#b8e186"
+            ],
+            [
+             0.8,
+             "#7fbc41"
+            ],
+            [
+             0.9,
+             "#4d9221"
+            ],
+            [
+             1,
+             "#276419"
+            ]
+           ],
+           "sequential": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
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+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
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+             0.7777777777777778,
+             "#fb9f3a"
+            ],
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+             0.8888888888888888,
+             "#fdca26"
+            ],
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+             1,
+             "#f0f921"
+            ]
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+           "sequentialminus": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
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+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ]
+          },
+          "colorway": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#FF6692",
+           "#B6E880",
+           "#FF97FF",
+           "#FECB52"
+          ],
+          "font": {
+           "color": "#2a3f5f"
+          },
+          "geo": {
+           "bgcolor": "white",
+           "lakecolor": "white",
+           "landcolor": "#E5ECF6",
+           "showlakes": true,
+           "showland": true,
+           "subunitcolor": "white"
+          },
+          "hoverlabel": {
+           "align": "left"
+          },
+          "hovermode": "closest",
+          "mapbox": {
+           "style": "light"
+          },
+          "paper_bgcolor": "white",
+          "plot_bgcolor": "#E5ECF6",
+          "polar": {
+           "angularaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "xaxis": {
+         "anchor": "y",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "datetime"
+         }
+        },
+        "yaxis": {
+         "anchor": "x",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "energy_Wh"
+         }
+        }
+       }
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# NBVAL_IGNORE_OUTPUT\n",
+    "# Visualize the filter\n",
+    "# these visualiztions can take up a lot of memory\n",
+    "# so just look at small subset of the data for this example\n",
+    "rdtools.tune_filter_plot(ta_new_filter.pv_energy['2013/01/01':'2013/01/21'],\n",
+    "                         ta_new_filter.sensor_filter['2013/01/01':'2013/01/21'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Visualize the results\n",
+    "ta_new_filter.plot_degradation_summary('sensor', summary_title='Sensor-based degradation results',\n",
+    "                                   scatter_ymin=0.5, scatter_ymax=1.1,\n",
+    "                                   hist_xmin=-30, hist_xmax=45);\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Using externally calculated filters\n",
+    "Arbitrary filters can also be used by setting the `ad_hoc_filter` key of the `TrendAnalysis.filter_params` atribute to a boolean pandas series that can be used as a filter. In this example we filter for \"stuck\" values, i.e. values that are repeated consecuatively, which can be associated with faulty measurments."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def filter_stuck_values(pandas_series):\n",
+    "    '''\n",
+    "    Returns a boolean pd.Series which filters out sequentially\n",
+    "    repeated values from pandas_series'\n",
+    "    '''\n",
+    "    diff = pandas_series.diff()\n",
+    "    diff_shift = diff.shift(-1)\n",
+    "\n",
+    "    stuck_filter = ~((diff == 0) | (diff_shift == 0))\n",
+    "\n",
+    "    return stuck_filter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Instantiate a new instance of TrendAnalysis\n",
+    "ta_stuck_filter = rdtools.TrendAnalysis(df['power'], df['poa'],\n",
+    "                                        temperature_ambient=df['Tamb'],\n",
+    "                                        gamma_pdc=meta['gamma_pdc'],\n",
+    "                                        interp_freq=freq,\n",
+    "                                        windspeed=df['wind_speed'],\n",
+    "                                        temperature_model=meta['temp_model_params'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stuck_filter =  (\n",
+    "                  filter_stuck_values(df['power']) &\n",
+    "                  filter_stuck_values(df['poa']) &\n",
+    "                  filter_stuck_values(df['Tamb']) &\n",
+    "                  filter_stuck_values(df['wind_speed'])\n",
+    "                 )\n",
+    "\n",
+    "# reindex onto the same index that will be used for the other filters\n",
+    "stuck_filter = stuck_filter.reindex(ta_stuck_filter.poa_global.index, fill_value=True)\n",
+    "\n",
+    "ta_stuck_filter.filter_params['ad_hoc_filter'] = stuck_filter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ta_stuck_filter.sensor_analysis()\n",
+    "\n",
+    "# Visualize the results\n",
+    "ta_stuck_filter.plot_degradation_summary('sensor', summary_title='Sensor-based degradation results',\n",
+    "                                         scatter_ymin=0.5, scatter_ymax=1.1,\n",
+    "                                         hist_xmin=-30, hist_xmax=45);\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Using aggregated filters\n",
+    "\n",
+    "RdTools 3 introduces a filtering step after aggregation. These filters can be manipulated through the `.filter_params_aggregated` attribute| of the TrendAnalysis object. With each key being the name of an aggregated filter and it's value a dict of parameters to pass to the filtering fucntion. By default, TrendAnalysis uses the `two_way_window_filter`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'two_way_window_filter': {}, 'ad_hoc_filter': None}"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ta.filter_params_aggregated"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The aggregated filters can be manipulated following the same API as in the first filtering step. To see which points were removed by the two_way_window filter, we can remove that key from `.filter_params_aggregated` and re-run the degradation analysis. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 450x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "aggregated_performance_original = ta.sensor_aggregated_performance.copy()\n",
+    "ta.filter_params_aggregated.pop('two_way_window_filter')\n",
+    "ta.sensor_analysis()\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.plot(ta.sensor_aggregated_performance.index, ta.sensor_aggregated_performance, 'o')\n",
+    "ax.plot(aggregated_performance_original.index, aggregated_performance_original, 'o')\n",
+    "ax.set_ylabel('normalized daily\\nperformance')\n",
+    "fig.autofmt_xdate()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The result without the aggregated filtering step can be visualized as before"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = ta.plot_degradation_summary('sensor', summary_title='Sensor-based degradation results',\n",
+    "                                  scatter_ymin=0.5, scatter_ymax=1.1,\n",
+    "                                  hist_xmin=-30, hist_xmax=45)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## CODS\n",
+    "\n",
+    "This section gives an introduction to the <b>Combined Degradation and Soiling (CODS)</b> algorithm workflow, which can use the aggregated time series available in the TrendAnalysis object. For more information about CODS, we refer to [1] and [2].\n",
+    "\n",
+    "CODS can be run in two ways - either by setting up an instance of `rdtools.soiling.CODSAnalysis` and running the method `run_bootstrap`, or by directly running `rdtools.soiling.soiling_cods`. Here we will show how to do the first option, as this makes more information available, and since the second option is more straightforward. We start by setting up an instance of `rdtools.soiling.CODSAnalysis`\n",
+    "\n",
+    "[1]  Skomedal, Å. and Deceglie, M. G. IEEE J. of Photovoltaics, Sept. 2020\n",
+    "[2]  Skomedal, Å., Deceglie, M. G., Haug, H., and Marstein, E. S., Proceedings of the 37th European Photovoltaic Solar Energy Conference and Exhibition, Sept. 2020\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from rdtools.soiling import CODSAnalysis\n",
+    "np.random.seed(0) # improves consistency with other notebook when using a low number of monte carlo reps\n",
+    "CODS = CODSAnalysis(aggregated_performance_original)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We continue to run `run_bootstrap`. The parameter `reps` decides how many repetitions of the bootstrapping procedure should be performed. `reps` needs to be a multiple of 16, and the minimum is 16. However, to give real confidence intervals, we recommend running it with 512 repetitions. In this case we use 16 to to avoid overly much time use. The parameter `verbose` decides whether to output information about the process during the calculation. `bootstrap_seed=42` ensures the same results from the bootstrap sampling each time, used here only for notebook testing."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_df, degradation, soiling_loss = CODS.run_bootstrap(reps=16, bootstrap_seed=42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>soiling_ratio</th>\n",
+       "      <th>soiling_rates</th>\n",
+       "      <th>cleaning_events</th>\n",
+       "      <th>seasonal_component</th>\n",
+       "      <th>degradation_trend</th>\n",
+       "      <th>total_model</th>\n",
+       "      <th>residuals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2010-02-25 00:00:00-07:00</th>\n",
+       "      <td>0.632635</td>\n",
+       "      <td>0.024614</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.999650</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.547342</td>\n",
+       "      <td>0.963029</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-26 00:00:00-07:00</th>\n",
+       "      <td>0.657248</td>\n",
+       "      <td>0.024612</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.999475</td>\n",
+       "      <td>0.999993</td>\n",
+       "      <td>0.568532</td>\n",
+       "      <td>0.889424</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-27 00:00:00-07:00</th>\n",
+       "      <td>0.681860</td>\n",
+       "      <td>0.024611</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.999299</td>\n",
+       "      <td>0.999986</td>\n",
+       "      <td>0.589713</td>\n",
+       "      <td>0.934689</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-28 00:00:00-07:00</th>\n",
+       "      <td>0.706470</td>\n",
+       "      <td>0.024609</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.999122</td>\n",
+       "      <td>0.999978</td>\n",
+       "      <td>0.610885</td>\n",
+       "      <td>0.945476</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-03-01 00:00:00-07:00</th>\n",
+       "      <td>0.731079</td>\n",
+       "      <td>0.024608</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.998944</td>\n",
+       "      <td>0.999971</td>\n",
+       "      <td>0.632047</td>\n",
+       "      <td>0.857710</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           soiling_ratio  soiling_rates  cleaning_events  \\\n",
+       "2010-02-25 00:00:00-07:00       0.632635       0.024614             True   \n",
+       "2010-02-26 00:00:00-07:00       0.657248       0.024612            False   \n",
+       "2010-02-27 00:00:00-07:00       0.681860       0.024611            False   \n",
+       "2010-02-28 00:00:00-07:00       0.706470       0.024609            False   \n",
+       "2010-03-01 00:00:00-07:00       0.731079       0.024608            False   \n",
+       "\n",
+       "                           seasonal_component  degradation_trend  total_model  \\\n",
+       "2010-02-25 00:00:00-07:00            0.999650           1.000000     0.547342   \n",
+       "2010-02-26 00:00:00-07:00            0.999475           0.999993     0.568532   \n",
+       "2010-02-27 00:00:00-07:00            0.999299           0.999986     0.589713   \n",
+       "2010-02-28 00:00:00-07:00            0.999122           0.999978     0.610885   \n",
+       "2010-03-01 00:00:00-07:00            0.998944           0.999971     0.632047   \n",
+       "\n",
+       "                           residuals  \n",
+       "2010-02-25 00:00:00-07:00   0.963029  \n",
+       "2010-02-26 00:00:00-07:00   0.889424  \n",
+       "2010-02-27 00:00:00-07:00   0.934689  \n",
+       "2010-02-28 00:00:00-07:00   0.945476  \n",
+       "2010-03-01 00:00:00-07:00   0.857710  "
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_out, CODS_results_dict = \\\n",
+    "    CODS.iterative_signal_decomposition()\n",
+    "df_out.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Visualize the results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Avg. Soiling loss 6.128 (4.569, 6.238) (%)\n",
+      "Degradation rate -0.181 (-0.371, -0.027) (%)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# The average soiling loss over the period with 95 % confidence intervals\n",
+    "# can be accessed through the soiling_loss attribute of CODS\n",
+    "soiling_loss = CODS.soiling_loss\n",
+    "print(f'Avg. Soiling loss {soiling_loss[0]:.3f} ({soiling_loss[1]:.3f}, {soiling_loss[2]:.3f}) (%)')\n",
+    "\n",
+    "# The estimated degradatio rate over the period with 95 % confidence intervals\n",
+    "# can be accessed through the degradation attribute of CODS\n",
+    "degradation = CODS.degradation\n",
+    "print(f'Degradation rate {degradation[0]:.3f} ({degradation[1]:.3f}, {degradation[2]:.3f}) (%)')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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TeY4dO5bk5ORzOk9xYZ2P40L8efXp04c+ffqcdrrVq1ejKAqrV68+r/lRFIWpU6ee9XymTp2Koijk5+efdtrazqk9e/ZwzTXXYLFYUBSFhQsXnnWehBDnngRrQjRS8+bNQ1EU75/JZCI2NpYBAwbwxhtvUFpa2tBZbDDZ2dlMnTqVP/74o6GzUisJFsXF7pNPPuG1116r9+/69OnDwYMHz3l+xLk3ZswYtmzZwrPPPsv8+fPp3LnzGe93IcT5I8GaEI3c9OnTmT9/PrNnz2bixIkAPPjgg7Rt25bNmzc3cO4aRnZ2NtOmTas1WHvvvffYtWvXBc/TsmXLaqQ5nU5WrFhxwfMixNmqz0P7Dz/8gM1mq5H+3//+F4fDcY5zVn/Lly9n+fLlDZ2NBrVr1y7ee+897+fKykrWrFnD7bffzoQJE7jllluIj4+XYE2IRkiCNSEauYEDB3LLLbcwbtw4nnzySZYtW8aKFSvIzc1l6NChVFZWXtD8qKp6wZdZH3q9HqPReEGXWVZWxqxZs7jmmmu8tQqbNm2ie/fufPDBB6iqekHzI8SF9PXXX9OhQwdv88G8vDxuvvlmnnjiCXJycuo1r/Ly8nOeP4PBgMFgOOfzvZgYjUb0er33c15eHgDBwcENlCMhRF1JsCbERahfv35MmjSJ9PR0PvroI5/vdu7cyfDhwwkNDcVkMtG5c2cWLVpUYx6bN2+md+/e+Pn5ER8fz4wZM5g7dy6Kovg0Y0pOTua6665j2bJldO7cGT8/P+bMmQPA3Llz6devH5GRkRiNRlq1asXs2bNrLEtVVWbMmEF8fDxms5m+ffuybdu2GtMVFhby6KOP0rZtWwICAggKCmLgwIFs2rTJO83q1avp0qULAOPGjfM2E503bx5Qe5+18vJyHnnkERISEjAajbRo0YKXXnqpRhClKAoTJkxg4cKFtGnTBqPRSOvWrVm6dOnJdwYQEBDAypUrue+++7jhhhs4fPgwd999N6+88gqffPIJiqKc9LdHjhxh3LhxxMfHYzQaiYmJ4frrr6/RlGzJkiX06tULf39/AgMDGTx4cI1tuHnzZsaOHUtqaiomk4no6Ghuu+02CgoKfKYrLS3lwQcfJDk5GaPRSGRkJFdffTUbNmzwme7zzz+nU6dO+Pn5ER4ezi233EJWVpbPNGPHjiUgIICsrCyGDRtGQEAAERERPProozidTp9pX3rpJXr06EFYWBh+fn506tSJBQsWnHLbnorL5eL111+nbdu2mEwmIiIiuPbaa1m3bp13GofDwTPPPEOTJk0wGo0kJyfz1FNPUVVV5TMvz3G+evVq73Hetm1bbwDy5ZdfepfTqVMnNm7cWOt22L9/PwMGDMDf35/Y2FimT59e4zg7H8djVlYWt912G1FRUd7pPvjgA59pPH2yPvvsM5599lni4+MxmUz079+fvXv3eqfr06cP3333Henp6d7z61RNe19++WU+/fRTnn32WX7//XdGjRrF1Vdfze+//05cXNxJf+dp6v2///2Pe++9l8jISOLj473f1+WYr8v5U1uftczMTIYNG4a/vz+RkZE89NBDNY4JOHn/yRPnWV1dzeTJk+nUqRMWiwV/f3969erFqlWrTrr+p/Pmm2/SunVrzGYzISEh3maKJyoqKmLs2LEEBwdjsVgYN24cFRUVJ12PqVOnkpSUBMBjjz3m3b/13e9CiAtD19AZEEKcmdGjR/PUU0+xfPlyxo8fD8C2bdvo2bMncXFxPPHEE/j7+/PZZ58xbNgwvvjiC2644QbA/WDXt29fFEXhySefxN/fn3/9618nrZHatWsXI0eO5K677mL8+PG0aNECgNmzZ9O6dWuGDh2KTqfjm2++4d5778XlcnHfffd5fz958mRmzJjBoEGDGDRoEBs2bOCaa66hurraZzn79+9n4cKF3HTTTaSkpJCTk8OcOXPo3bs327dvJzY2lrS0NKZPn87kyZO588476dWrFwA9evSoNe+qqjJ06FBWrVrF7bffTvv27Vm2bBmPPfYYWVlZvPrqqz7T//TTT3z55Zfce++9BAYG8sYbb3DjjTeSkZFBWFjYKfeJRqPxCcxOFaR53HjjjWzbto2JEyeSnJxMbm4u33//PRkZGd4Hpfnz5zNmzBgGDBjArFmzqKioYPbs2VxxxRVs3LjRO93333/P/v37GTduHNHR0Wzbto13332Xbdu28euvv3rzc/fdd7NgwQImTJhAq1atKCgo4KeffmLHjh107NgRcD9Ijxs3ji5duvDcc8+Rk5PD66+/zs8//8zGjRt9SuSdTicDBgyga9euvPTSS6xYsYKXX36ZJk2acM8993ine/311xk6dCg333wz1dXV/Oc//+Gmm27i22+/ZfDgwafdVie6/fbbmTdvHgMHDuSOO+7A4XDw448/8uuvv9K5c2cA7rjjDj788EOGDx/OI488wm+//cZzzz3Hjh07+Oqrr3zmt3fvXkaNGsVdd93FLbfcwksvvcSQIUN45513eOqpp7j33nsBeO655xgxYgS7du1CozlW5ul0Orn22mvp1q0bL7zwAkuXLmXKlCk4HA6mT58OnJ/jMScnh27dunmDu4iICJYsWcLtt99OSUkJDz74oM88n3/+eTQaDY8++ijFxcW88MIL3Hzzzfz2228APP300xQXF5OZmenNT0BAwCn3xfHHvudBv67uvfdeIiIimDx5srdmra7HfF3OnxNVVlbSv39/MjIyuP/++4mNjWX+/PmsXLmyznk+UUlJCf/6178YOXIk48ePp7S0lPfff58BAwbw+++/0759+3rN77333uP+++9n+PDhPPDAA9hsNjZv3sxvv/3GqFGjfKYdMWIEKSkpPPfcc2zYsIF//etfREZGMmvWrFrn/Ze//IXg4GAeeughRo4cyaBBgwgICMDf37/e+10IcQGoQlykKisr1e3bt6uVlZU1v6wqV9WsjY3jr6r8jNZv7ty5KqCuXbv2pNNYLBa1Q4cO3s/9+/dX27Ztq9psNm+ay+VSe/TooTZr1sybNnHiRFVRFHXjxo3etIKCAjU0NFQF1AMHDnjTk5KSVEBdunRpjeVXVFTUSBswYICamprq/Zybm6saDAZ18ODBqsvl8qY/9dRTKqCOGTPGm2az2VSn0+kzvwMHDqhGo1GdPn26N23t2rUqoM6dO7fG8seMGaMmJSV5Py9cuFAF1BkzZvhMN3z4cFVRFHXv3r3eNEA1GAw+aZs2bVIB9c0336yxLI/S0lL16quvVq+++mp1//79alJSkvrHH3+oXbp0UUeNGuWz3sezWq0qoL744ounnHdwcLA6fvx4n/QjR46oFovFJ722/fF///d/KqD+8MMP3jSLxaLed999J11mdXW1GhkZqbZp08bn/Pr2229VQJ08ebI3bcyYMSrgs39UVVU7dOigdurUySftxPxVV1erbdq0Ufv16+eTnpSU5HNc1GblypUqoN5///01vvNs7z/++EMF1DvuuMPn+0cffVQF1JUrV/osE1B/+eUXb9qyZctUQPXz81PT09O96XPmzFEBddWqVd40z3aYOHGiTz4GDx6sGgwGNS8vT1XV83M83n777WpMTIyan5/vM8+//e1vqsVi8W73VatWqYCalpamVlVVead7/fXXVUDdsmWLN23w4ME+59GpPPbYY2rLli3VVatWqb1791Z///13deTIkWrnzp3VzMzMk/7Oc4274oorVIfD4U2v6zFfl/NHVVW1d+/eau/evb2fX3vtNRVQP/vsM29aeXm52rRp0xr79WTH4onzdDgcPtvUk7+oqCj1tttu80kH1ClTppwyz9dff73aunXrU04zZcoUFagx/xtuuEENCwvzSTtxPQ4cOFDrtqvPfj/lPVgIcc5IM0hxacrfDe/2bhx/+bvP22oGBAR4R4UsLCxk5cqVjBgxgtLSUvLz88nPz6egoIABAwawZ88ebxO2pUuX0r17d5/S3tDQUG6++eZal5OSksKAAQNqpPv5+Xn/X1xcTH5+Pr1792b//v0UFxcDsGLFCqqrq5k4caJPafuJpf3g7lfhqalwOp0UFBQQEBBAixYtajTRq6vFixej1Wq5//77fdIfeeQRVFVlyZIlPulXXXUVTZo08X6+7LLLCAoKYv/+/SddRkBAAA8//DDLly8nJSUFgHbt2rFmzRrGjh170loGPz8/DAYDq1evxmq11jrN999/T1FRESNHjvTu0/z8fLRaLV27dvVpZnX8/rDZbOTn59OtWzcAn+0XHBzMb7/9RnZ2dq3LXLduHbm5udx7772YTCZv+uDBg2nZsiXfffddjd/cfffdPp979epVY5sdnz+r1UpxcTG9evU6o337xRdfoCgKU6ZMqfGdZ3svXrwYgIcfftjn+0ceeQSgxnq0atWK7t27ez937doVcDc7TkxMrJFe2zExYcIEn3xMmDCB6upq70Az5/p4VFWVL774giFDhqCqqs8xMmDAAIqLi2ts33Hjxvn04fLUTp/qGD+VwYMHs2HDBm+zwIiICD755BOef/55oqKiTvv78ePHo9VqvZ/reszX5fypzeLFi4mJiWH48OHeNLPZzJ133lnneZxIq9V6t6nL5aKwsBCHw0Hnzp3P6PgODg4mMzOTtWvXnnba2s69goICSkpK6r1cIUTjI80gxaUpvDnc+b+GzoVbePPzNuuysjIiIyMBdxMuVVWZNGkSkyZNqnX63Nxc4uLiSE9P93ko9WjatGmtv/MEICf6+eefmTJlCmvWrKnRR6K4uBiLxUJ6ejoAzZo18/k+IiKCkJAQnzRPH6S3336bAwcO+PR5Ol0TxJNJT08nNjaWwMBAn/S0tDTv98c7/qHcIyQk5LQPg9dee22NNK1Wy9VXX33S3xiNRmbNmsUjjzxCVFQU3bp147rrruPWW28lOjoacL8LCdwBQ22CgoK8/y8sLGTatGn85z//ITc312c6T/AM8MILLzBmzBgSEhLo1KkTgwYN4tZbbyU1NRU4tk08zV2P17JlS3766SefNE9/sePVts2+/fZbZsyYwR9//OHTP6g+TeY89u3bR2xsLKGhoSedJj09HY1GU+O4jo6OJjg4+LT73mKxAJCQkFBr+onrp9FovNvQo3lz9/nv6UN1ro/HvLw8ioqKePfdd3n33XdrTAvUOBZOnKfnPKxPwHO83r1715rev3//Ov3+xOtLXY/5upw/tUlPT6dp06Y1jrvajvf6+PDDD3n55ZfZuXMndrvdm36y6+ep/P3vf2fFihVcfvnlNG3alGuuuYZRo0bRs2fPGtOean8ef30QQlycJFgTlyaDGWLbN3QuzqvMzEyKi4u9D6IulwuARx99tNZaMDh5MHY6x9eIeOzbt4/+/fvTsmVLXnnlFRISEjAYDCxevJhXX33Vm5/6mDlzJpMmTeK2227jmWeeITQ0FI1Gw4MPPnhG8zsTx5fwH0+tx4iO9XnP1IMPPsiQIUNYuHAhy5YtY9KkSTz33HOsXLmSDh06eNd7/vz5tT6A6nTHLuMjRozgl19+4bHHHqN9+/YEBATgcrm49tprfbbfiBEj6NWrF1999RXLly/nxRdfZNasWXz55ZcMHDiwznn3ONk2O96PP/7I0KFDufLKK3n77beJiYlBr9czd+7cWgdNOJfqGgyebD3OxTFxpk63bM9+veWWWxgzZkyt01522WX1mufZOJMXSp94fanPMX+68+dsnezYcTqdPtvxo48+YuzYsQwbNozHHnuMyMhItFotzz33HPv27av3ctPS0ti1axfffvstS5cu5YsvvuDtt99m8uTJTJs2zWfahjw+hRDnnwRrQlyk5s+fD+ANzDwl+nq9nquuuuqUv01KSvIZ/c2jtrST+eabb6iqqmLRokU+Jbsnjn7mGXVsz549PrUOeXl5NUryFyxYQN++fXn//fd90ouKiggPD/d+rk9NTFJSEitWrKC0tNSnNmPnzp0++WtITZo04ZFHHuGRRx5hz549tG/fnpdffpmPPvrI2wQuMjLylPvVarXy3//+l2nTpjF58mRvuqeW4kQxMTHce++93HvvveTm5tKxY0eeffZZBg4c6N0mu3btqlG7sWvXrjPaZl988QUmk4lly5b5DGQzd+7ces8L3Nts2bJlFBYWnrR2LSkpCZfLxZ49e7w1V+AekKOoqOic73uXy8X+/fu9tWkAu3e7m0F7Brs418djREQEgYGBOJ3O05739XEmtZ3nSl2P+eOnP9n5U5ukpCS2bt2Kqqo+61nb+xlDQkIoKiqqkZ6enu5zPVuwYAGpqal8+eWXPvOsrZluXfn7+/PXv/6Vv/71r1RXV/OXv/yFZ599lieffNKnefK51JD7XQhRO+mzJsRFaOXKlTzzzDOkpKR4+5lFRkbSp08f5syZw+HDh2v8xvNeHXAHeGvWrPF5qXRhYSEff/xxnfPgKc09vvS2uLi4xsP3VVddhV6v58033/SZtrYXr2q12hqlwZ9//nmN4eL9/f0Ban2IOtGgQYNwOp289dZbPumvvvoqiqKcUU3SuVJRUVHjZcJNmjQhMDDQ20xwwIABBAUFMXPmTJ+mVR6e/Vrb/oCa29npdPo0iQT3sRMbG+tdZufOnYmMjOSdd97xaa64ZMkSduzYcUYjN2q1WhRF8WnaevDgQRYuXFjveYF7FEBVVWvUMsCxbTBo0CCg5jZ45ZVXAM5oPU7n+ONMVVXeeust9Hq9t0nguT4etVotN954I1988QVbt26t8f3x5319eEYGbAh1Pebrcv7UZtCgQWRnZ/u8NqKioqLWZqRNmjTh119/9Rm59ttvv+XQoUM+09V2/v3222+sWbPmVKt6Uie+bsNgMNCqVStUVa11m5wrDbnfhRC1k5o1IRq5JUuWsHPnThwOBzk5OaxcuZLvv/+epKQkFi1a5FPC+s9//pMrrriCtm3bMn78eFJTU8nJyWHNmjVkZmZ631f2+OOP89FHH3H11VczceJE79D9iYmJFBYW1ql09ZprrsFgMDBkyBDuuusuysrKeO+994iMjPQJFj3v3Hruuee47rrrGDRoEBs3bmTJkiU+tWUA1113HdOnT2fcuHH06NGDLVu28PHHH9foB9SkSROCg4N55513CAwMxN/fn65du9baN2TIkCH07duXp59+moMHD9KuXTuWL1/O119/zYMPPugzeMOFtnv3bvr378+IESNo1aoVOp2Or776ipycHP72t78B7v45s2fPZvTo0XTs2JG//e1vREREkJGRwXfffUfPnj156623CAoK4sorr+SFF17AbrcTFxfH8uXLOXDggM8yS0tLiY+PZ/jw4bRr146AgABWrFjB2rVrefnllwF37eysWbMYN24cvXv3ZuTIkd6h+5OTk3nooYfqva6DBw/mlVde4dprr2XUqFHk5ubyz3/+k6ZNm7J58+Z6z69v376MHj2aN954gz179nibev7444/07duXCRMm0K5dO8aMGcO7775LUVERvXv35vfff+fDDz9k2LBh9O3bt97LPRWTycTSpUsZM2YMXbt2ZcmSJXz33Xc89dRT3j595+N4fP7551m1ahVdu3Zl/PjxtGrVisLCQjZs2MCKFSsoLCys9zw7derEp59+ysMPP0yXLl0ICAhgyJAh9Z7PmajrMV+X86c248eP56233uLWW29l/fr1xMTEMH/+fMxmc41p77jjDhYsWMC1117LiBEj2Ldvn0+Nt8d1113Hl19+yQ033MDgwYM5cOAA77zzDq1ataKsrKze2+Caa64hOjqanj17EhUVxY4dO3jrrbcYPHhwjf6O51JD7nchxElc2MEnhTh3LvVhgz3DWnv+DAaDGh0drV599dXq66+/rpaUlNT6u3379qm33nqrGh0drer1ejUuLk697rrr1AULFvhMt3HjRrVXr16q0WhU4+Pj1eeee0594403VEA9cuSId7qkpCR18ODBtS5r0aJF6mWXXaaaTCY1OTlZnTVrlvrBBx/UGP7f6XSq06ZNU2NiYlQ/Pz+1T58+6tatW2sMJ22z2dRHHnnEO13Pnj3VNWvW1BgmW1VV9euvv1ZbtWql6nQ6n2H8Txy6X1XdQ4E/9NBDamxsrKrX69VmzZqpL774Yo0h9YFah7Svy1DyZyI/P1+977771JYtW6r+/v6qxWJRu3bt6jOkuMeqVavUAQMGqBaLRTWZTGqTJk3UsWPHquvWrfNOk5mZqd5www1qcHCwarFY1JtuuknNzs72GSq8qqpKfeyxx9R27dqpgYGBqr+/v9quXTv17bffrrHMTz/9VO3QoYNqNBrV0NBQ9eabb64xFPuYMWNUf3//Gr/1DCt+vPfff19t1qyZajQa1ZYtW6pz586tdbq6bm+Hw6G++OKLasuWLVWDwaBGRESoAwcOVNevX++dxm63q9OmTVNTUlJUvV6vJiQkqE8++aTP6y08y6ztOK/tmKht2HPPdti3b596zTXXqGazWY2KilKnTJlS43UU5+N4zMnJUe+77z41ISFB1ev1anR0tNq/f3/13Xff9U7jGbr/888/r3V9jn8VRllZmTpq1Cg1ODhYBeo8nHt9nO71JKc75ut6/tR2/UhPT1eHDh2qms1mNTw8XH3ggQfUpUuX1hi6X1VV9eWXX1bj4uJUo9Go9uzZU123bl2NebpcLnXmzJlqUlKSajQa1Q4dOqjffvttrdej48/Hk5kzZ4565ZVXqmFhYarRaFSbNGmiPvbYY2pxcbF3Gs+543ktxInb9cRXsNRl6P767PdL/R4sRGOhqKr0QBUXJ5vNxoEDB0hJSTlv7ff/bB588EHmzJlDWVlZnQaNEEK4jR07lgULFpxRLYoQFyO5BwtxYUifNSH+pCorK30+FxQUMH/+fK644goJ1IQQQgghGgHpsybEn1T37t3p06cPaWlp5OTk8P7771NSUnLSd7QJIYQQQogLS4I1If6kBg0axIIFC3j33XdRFIWOHTvy/vvvc+WVVzZ01oQQQgghBCB91sRFS9rLCyGEEA1D7sFCXBjSZ00IIYQQQgghGiEJ1oQQQgghhBCiEZJgTQghhBBCCCEaIQnWhBBCCCGEEKIRkmBNCCGEEEIIIRohCdaEEEIIIYQQohGSYE0IIYQQQgghGiEJ1oQQtTp48CCKojBv3rx6/3b16tUoisLq1atPO+3atWvp0aMH/v7+KIrCH3/8wdSpU1EUpf6ZFkIIIYS4hOgaOgNCiD8vu93OTTfdhMlk4tVXX8VsNpOUlFTrtDNnzqRVq1YMGzbswmZSCCGEEKKBSM2aEKLB7Nu3j/T0dB599FHuvPNObrnlFkJCQvjHP/5BZWWlz7QzZ85k4cKFDZNRIYQQQogGIDVrQogGk5ubC0BwcLBPuk6nQ6eTy5MQQggh/tykZk2IRsrTb2v37t3ccsstWCwWIiIimDRpEqqqcujQIa6//nqCgoKIjo7m5ZdfrjGP3Nxcbr/9dqKiojCZTLRr144PP/ywxnRFRUWMHTsWi8VCcHAwY8aMoaioqNZ87dy5k+HDhxMaGorJZKJz584sWrSo3us3duxYevfuDcBNN92Eoij06dPHZ909FEWhvLycDz/8EEVRUBSFsWPH1nuZQgghhBAXEym6FqKR++tf/0paWhrPP/883333HTNmzCA0NJQ5c+bQr18/Zs2axccff8yjjz5Kly5duPLKKwGorKykT58+7N27lwkTJpCSksLnn3/O2LFjKSoq4oEHHgBAVVWuv/56fvrpJ+6++27S0tL46quvGDNmTI28bNu2jZ49exIXF8cTTzyBv78/n332GcOGDeOLL77ghhtuqPN63XXXXcTFxTFz5kzuv/9+unTpQlRUVK3Tzp8/nzvuuIPLL7+cO++8E4AmTZrUd1MKIYQQQlxcVCEuUpWVler27dvVysrKhs7KeTFlyhQVUO+8805vmsPhUOPj41VFUdTnn3/em261WlU/Pz91zJgx3rTXXntNBdSPPvrIm1ZdXa12795dDQgIUEtKSlRVVdWFCxeqgPrCCy/4LKdXr14qoM6dO9eb3r9/f7Vt27aqzWbzprlcLrVHjx5qs2bNvGmrVq1SAXXVqlWnXEfPdJ9//nmt6348f39/n/UTQgjRcC71e7AQjYXUrIlLUkVFBTt37mzobADQsmVLzGbzGf/+jjvu8P5fq9XSuXNnMjMzuf32273pwcHBtGjRgv3793vTFi9eTHR0NCNHjvSm6fV67r//fkaOHMn//vc/rrvuOhYvXoxOp+Oee+7xWc7EiRP58ccfvWmFhYWsXLmS6dOnU1paSmlpqfe7AQMGMGXKFLKysoiLizvjdRVCCCGEEMdIsCYuSTt37qRTp04NnQ0A1q9fT8eOHc/494mJiT6fLRYLJpOJ8PDwGukFBQXez+np6TRr1gyNxrdralpamvd7z78xMTEEBAT4TNeiRQufz3v37kVVVSZNmsSkSZNqzWtubq4Ea0IIIYQQ54gEa+KS1LJlS9avX9/Q2QDceTkbWq22Tmng7n92vrhcLgAeffRRBgwYUOs0TZs2PW/LF0IIIYT4s5FgTVySzGbzWdVmXQqSkpLYvHkzLpfLp3bN0zzU8/LppKQk/vvf/1JWVuZTu7Zr1y6f+aWmpgLuppRXXXXV+c5+DcePDimEEEII8WcgQ/cLcYkaNGgQR44c4dNPP/WmORwO3nzzTQICArzD5g8aNAiHw8Hs2bO90zmdTt58802f+UVGRtKnTx/mzJnD4cOHaywvLy/vPK2Jm7+//0lfJyCEEEIIcSmSmjUhLlF33nknc+bMYezYsaxfv57k5GQWLFjAzz//zGuvvUZgYCAAQ4YMoWfPnjzxxBMcPHiQVq1a8eWXX1JcXFxjnv/85z+54ooraNu2LePHjyc1NZWcnBzWrFlDZmYmmzZtOm/r06lTJ1asWMErr7xCbGwsKSkpdO3a9bwtTwghhBCioUmwJsQlys/Pj9WrV/PEE0/w4YcfUlJSQosWLZg7d67PC6U1Gg2LFi3iwQcf5KOPPkJRFIYOHcrLL79Mhw4dfObZqlUr1q1bx7Rp05g3bx4FBQVERkbSoUMHJk+efF7X55VXXuHOO+/kH//4B5WVlYwZM0aCNSGEEEJc0hT1fI5IIMR5ZLPZOHDgACkpKZhMpobOjhBCCPGnIfdgIS4M6bMmhBBCCCGEEI2QBGtCCCGEEEII0QhJsCaEEEIIIYQQjZAEa0IIIYQQQgjRCEmwJoQQQgghhBCNkARrQgghhBBCCNEISbAmLnry9gkhhBDiwpJ7rxAXhgRr4qKl1+tRFIXy8vKGzooQQgjxp1JeXo6iKOj1+obOihCXNF1DZ0CIM6XVarFYLOTl5VFVVUVQUBA6nQ5FURo6a0IIIcQlR1VVHA4HJSUllJSUEBwcjFarbehsCXFJU1SpxxYXMVVVKS4uJjc3F6fT2dDZEUIIIS55Wq2WyMhILBaLFJAKcZ5JsCYuCaqq4nQ6cTgcDZ0VIYQQ4pKl0+nQarUSpAlxgUiwJoQQQgghhBCNkAwwIoQQQgghhBCNkARrQgghhBBCCNEISbAmhBBCCCGEEI2QBGtCCCGEEEII0QhJsCaEEEIIIYQQjZAEa0IIIYQQQgjRCEmwJoQQQgghhBCNkARrQgghhBBCCNEISbAmhBBCCCGEEI2QBGtCCCGEEEII0QhJsCaEEEIIIYQQjZAEa0IIIYQQQgjRCEmwJoQQQgghhBCNkARrQgghhBBCCNEISbAmhBBCCCGEEI2QBGtCCCGEEEII0QhJsCaEEEIIIYQQjZAEa0IIIYQQQgjRCEmwJoQQQgghhBCNkARrQgghhBBCCNEISbAmhBBCCCGEEI2QrqEz8GfgcrnIzs4mMDAQRVEaOjtCCCGEEEKIBqKqKqWlpcTGxqLRnLruTIK1CyA7O5uEhISGzoYQQgghhBCikTh06BDx8fGnnEaCtQsgMDAQcO+QoKCgBs6NEEIIIYQQoqGUlJSQkJDgjRFORYK1C8DT9DEoKEiCNSGEEEIIIUSdukfJACNCCCGEEEII0QhJsCaEEEIIIYQQjZAEa0IIIYQQQgjRCEmwJoQQQgghhBCNkARrQgghhBBCCNEISbAmhBBCCCGEEI2QBGtCCCGEEEII0QhJsCaEEEIIIYQQjZAEa0IIIYQQQgjRCEmwJoQQQgghhBCNkARrQgghhBBCCNEISbAmhBBCCCGEEI2QBGtCCCGEEEII0QhJsCaEEEIIIYQQjZAEa0IIIYQQQgjRCEmwJoQQQgghhBCNkARrQgghhBBCCNEISbAmhBBCCCGEEI2QBGtCCCGEEEII0QhJsCaEEEIIIYQQjZAEa0IIIYQQQgjRCEmwJoQQQgghhBCNkARrQgghhBBCCNEIXfLBWllZGVOmTOHaa68lNDQURVGYN29enX9fVFTEnXfeSUREBP7+/vTt25cNGzacvwwLIYQQQgghBH+CYC0/P5/p06ezY8cO2rVrV6/fulwuBg8ezCeffMKECRN44YUXyM3NpU+fPuzZs+c85VgIIYQQQgghQNfQGTjfYmJiOHz4MNHR0axbt44uXbrU+bcLFizgl19+4fPPP2f48OEAjBgxgubNmzNlyhQ++eST85VtIYQQQgghxJ/cJV+zZjQaiY6OPqPfLliwgKioKP7yl7940yIiIhgxYgRff/01VVVV5yqbQgghhBBCCOHjkg/WzsbGjRvp2LEjGo3vZrr88supqKhg9+7dDZQzIYQQQgghxKVOgrVTOHz4MDExMTXSPWnZ2dm1/q6qqoqSkhKfPyGEEEIIIYSoDwnWTqGyshKj0Vgj3WQyeb+vzXPPPYfFYvH+JSQknNd8CiGEEEIIIS49Eqydgp+fX6390mw2m/f72jz55JMUFxd7/w4dOnRe8ymEEEIIIYS49Fzyo0GeDc9IkifypMXGxtb6O6PRWGuNnBBCCCGEEELUldSsnUL79u3ZsGEDLpfLJ/23337DbDbTvHnzBsqZEEIIIYQQ4lInwdpRhw8fZufOndjtdm/a8OHDycnJ4csvv/Sm5efn8/nnnzNkyBCpPRNCCCGEEEKcN3+KZpBvvfUWRUVF3tEbv/nmGzIzMwGYOHEiFouFJ598kg8//JADBw6QnJwMuIO1bt26MW7cOLZv3054eDhvv/02TqeTadOmNdTqCCGEEEIIIf4E6hWspaSkoChKvRagKAr79u2r12/OtZdeeon09HTv5y+//NJbW3bLLbdgsVhq/Z1Wq2Xx4sU89thjvPHGG1RWVtKlSxfmzZtHixYtLkjehRBCCCGEEH9Oiqqqal0nHjt2bI1gbd26dWzbto1WrVp5A5hdu3axfft22rRpQ6dOnZg7d+65zfVFpqSkBIvFQnFxMUFBQQ2dHSGEEEIIIUQDqU9sUK+atXnz5vl8XrhwIQsXLuT777+nf//+Pt99//33jBgxgmeeeaY+ixBCCCGEEEIIwVkOMDJ58mQmTpxYI1ADuPrqq5kwYQL/+Mc/zmYRQgghhBBCCPGndFbB2p49ewgLCzvp92FhYQ3eX00IIYQQQgghLkZnFaw1adKEuXPnUlZWVuO70tJSPvjgA1JTU89mEUIIIYQQQgjxp3RWQ/fPmDGD4cOH07JlS8aOHUvTpk0Bd43bhx9+SE5ODp9//vk5yagQQgghhBBC/JnUazTI2ixfvpy///3vbNq0ySe9ffv2PPfccwwYMOCsMngpkNEghRBCCCGEEFC/2OCsgzWPI0eOeN9llpSURHR09LmY7SVBgjUhhBBCCCEEnMeh+08lOjpaAjQhhBBCCCGEOEfOaoARgIyMDO6++25atGhBaGgoP/zwAwD5+fncf//9bNy48awzKYQQQgghhBB/NmdVs7Z9+3Z69eqFy+Wia9eu7N27F4fDAUB4eDg//fQT5eXlvP/+++cks0IIIYQQQgjxZ3FWwdrjjz9OcHAwv/76K4qiEBkZ6fP94MGD+fTTT88qg0IIIYQQQgjxZ3RWzSB/+OEH7rnnHiIiIlAUpcb3iYmJZGVlnc0ihBBCCCGEEOJP6ayCNZfLhdlsPun3eXl5GI3Gs1mEEEIIIYQQQvwpnVWw1rFjR7777rtav3M4HPznP/+hW7dudZ7fp59+is1mO5ssCSGEEEIIIcQl4ayCtSeffJKlS5dyzz33sHXrVgBycnJYsWIF11xzDTt27OCJJ56o8/xGjhxJdHQ0t99+O6tWrTqbrAkhhBBCCCHERe2sX4o9f/58HnjgAYqLi1FVFUVRUFWVoKAgZs+ezciRI+s8r19++YWPP/6Yzz//nIKCAuLi4hg1ahS33HILbdq0OZtsNih5KbYQQgghhBAC6hcbnHWwBlBeXs7333/Pnj17cLlcNGnShAEDBhAYGHhG83M4HCxdupSPP/6Yb775hsrKStq2bcvo0aMZNWoUMTExZ5vlC0qCNSGEEEIIIQQ0QLB2PpWVlfHVV18xb948Vq9ejUajoU+fPowZM4YRI0ZgMBgaOounJcFa3WVaK8goqCAxzEx8yMkHrxFCCCGEEOJiVJ/Y4Kz6rKWmptK9e3d27dpV6/dff/01qampZ7MItm7dyu+//86WLVtQVZWWLVtSUFDArbfeSpMmTfjpp5/Oav6icckoqKCi2klGQUVDZ0UIIYQQQogGdVbB2sGDB9mwYQOXX345CxcurPF9WVkZ6enp9Z7v7t27mTJlCs2aNaNnz5589tlnjBo1inXr1rFlyxY2bNjA77//TmhoKHfffffZrIJoZBLDzJgNWhLDpFZNCCGEEEL8uZ1VsAbwyiuvcOWVV3LjjTcyadKks5rX66+/zuWXX05aWhovvvgiHTt2ZNGiRWRnZ/Paa6/RsWNH77SdO3fm4YcfZufOnWe7CqIBZVor+GVvPplWd01afIiZHk3DpQmkEEKIi86J9zQhhDhbZx2shYSE8M033zBlyhSee+45Bg8eTHFx8RnN66GHHsJoNPLOO+9w+PBhPv30UwYPHoxWq611+s6dO591gCgaljR7FEIIcamQe5oQ4lzTnasZTZ48mcsvv5xbbrmFLl268NVXX9V7Hvv27SMlJaXO07du3ZrWrVvXezmi8UgMM3sHFAEZYETUJMeEEG5yLjR+J97TTiT7UAhRX2dds3a8a6+9lrVr1+Lv70+3bt34+uuv6/X7+gRq4tJwYrPHhiiVlGYrjVemtYIlWw6TcfQBR9SfHN+XDqm1ufhlFFRwqNB9XZNzUghRF+esZs0jJSWFNWvWcNdddzF//nwURanzb2+77bZTfq8oCiaTifj4ePr06UP37t3PNrviqExrBesPWkGBTkkhDVbid7pSyXPNEwwE+ukBal1vKQltOBkFFQSZ9JRU2klsKtv+TJz4gC/H8sXrQl8fRf2tT7eyNbMYm9NJangAof4Gn3tqYpiZbdnFBPrpWX/QKuejEOK0zipYW7VqFWlpaTXSTSYTH374ISNGjCA/P7/O81u5ciWVlZXk5eUB7v5wAFarFYCIiAhcLhcFBQUoisKAAQNYsGABZrNc5M5WRkEFGYXuh7mIAKM37ULcRE4Mhi7kTasuwcDxD7tyQ63d+QhoM60V5JVWYTJo6dlMBp05mdMVtCSGmVl/0MqWrCI+XZdBWrT7fS6yPRuvE8+ndQcL2ZhhpUNiCD2ahjd09sSpqFBUaSezsJxNGUW0irUQEWD0nm/xIWYGto0ho6CCXTmlZBS6r3NyPgohTuasmkH27t2byMjIk34/ePBgxowZU+f5LVmyBKPRyNSpUykoKPD+5efnM2XKFPz8/Pj555+xWq1MmjSJpUuXygAj50himJnEULP736Olt+ejuU2mtYKvN2bx9R9ZZForGryZW2KYmYRQMx0SQ8goqKi1WYq8TuD01h+0sj7d6g4a6mndwULe+2Ef6w4W+qRnFFTgb9T5POiImjwFLVszi2ttWhUfYgYF1uwrYF9eOTsOl5y3Y/nP1OTy+HU9V+vtmc/6dCsV1U7WH7Tyy958Vu3KpbjSwcYM63lbtjg3OiWHcEXTcAL8dBh0Gg4VlmPQneZRq+4NkC6oS+nYupTWRfz51Ktm7d///jcAo0ePRlEU7+dTURSF0aNH12n+EyZMYNCgQUyePNknPTQ0lClTpnD48GEmTJjA8uXLmTp1Krt372bBggW8/PLL9VkNUQtPjZanRNdzcznXD3WeB8ssawW/7y+gaVQgTpfKlkNFNI0IOKfLqgvPev+yN59DhRVsyy5mYNsYn+DgQtf2XYwKK6rZcbiYvLIqOiXX3oy2ttq3JVsO8+4P+4gOMgHQOTnUO700+aqbxDAzeaVVrM+wsi+vjP/7PYORlyf67gMV/A06qhxOLGbDeclHXZoUX0pOLNA6F7Xvnnmigtmg5ZC1gq1ZxeRXVBFr8aNDYsh5W7Y4M56a7cKKam+Tx+s7xBEX4sdXGzJJCDVT7XD5/Maz/0LNBlpEBTbaa9z6dHczzbyyi7/mz9NXsLZ7vBCNXb2CtbFjx6IoCn/7298wGAyMHTv2tL+pT7D266+/Mnz48JN+365dOz766CPv5169evHll1/Wad6ibrwPC3BemtskhpnZdaSUDGsFMRY/DuSX4XSqtd7QLqTj+xHIQ0/9hZoNVFa72Hm4hM/XHiI1IqBGs7yMggo2Zxbx6doM2ieGcHWrKH7ak4cC7MktY2j7OJ95xoeYOVJsY8mWw3RIDCHaYmqU/TsaQ5/GiEAjKeH+bM8uISO/nNmr9nJDx3g6J4d6S5KvbBFBflkVCaHm83KM/9n6F3oKEww6DVnWSlCgZUzgWc9z/UEr+/PL2J1bik6jUFRpx6jRoABZRZVEWyu80x06um9D/Q1nvWxxZjwFkBmFFQT76dmTU0pYgJFQfwM3dIyn2uGqEYx5jp2WMYGN6lpWg3rCvxcxucc3bo3hPtqY1StYO3DgAAAGg8Hn87kSHBzM8uXLueeee2r9funSpVgsFu/nsrIygoKCzmke/mxOPEHOd21GfIiZFtGB5Jba2J1TSnxIMLEWE4es7tK7TOuFu4geX4tY7XARH+K+mO86XMLP+/Lp2yLSp6ZHnFyn5BBW7szB4VJZm15Iud2JokJuic1bipkYZuazdRlkFtmwOwtpERXIFc0iOFJio2tqGJajNTIemdYKvtqQiVbrruVtHWtplDUIDV36fHwpfauYIL7fcQS7S+WrDZneANffqCMi0MjVraJYf9B6zs+1P2P/wuNr5f2NOswG7Vmvd3yI+/r709587E4XQX46ooKMlNgc2BwutmYWe8+piECjt59xi6hG/tB/kTm+j+Cp7gGe4z7ApKNVbBD5ZVXYHC62Z5eQGGomIsBIj6bh3ub/tRVgQf1qoS/kQ22n5BAiAo0XtObvfAx25tmffnotpZV2DBGn7wEkwcP5d/w29tzHvt+Wg8PlOu2592dTr2AtKSnplJ/P1vjx45k+fTrDhw/nnnvuoWnTpgDs3buX2bNn8+233/r0UVu8eDHt27c/p3n4M6mt2dL5bvK37mAhS7cd5nCxjS7JocRY/IgINFJhd57RjcvL5UK1FeMoL8Ruq6S6uhq7w4HdXk11VRV2ux2H04XBzx+/AAuFDj0/H6rGEhJKqc1BSngAmdYKjDotWzKLCfE3sDHDKheLOooPMTO6ezJfbchEUSCvxIbFbPApxYwPMdMuIYRqRyEmg5ZdOaWE+hu4p0/TGqXPxx+bpZX2GjVrjUotpc8X8kbvudEFm/XszinFT6/lUGEFKeH+3sKIX/blo9Uo5JVVgeJuEnkug15PQFhe5Ti78/ioi+lByaDTsC27mA6JIT4FQFnWSp+mcXVdj8QwM61igticXcThYhuxFj+aRQZSWF7NH5lWwgIM3m2TV+ren+ezD+LFsh/OpY0ZVm8fwVPV6GcUVGCzO3E4XQxsGwPgbRIJeAtF1qdb+WlvPsFmvbcP7vqD1jMaXORCDnh14vPAhTgeThzs7FwsZ9XOXLKKKlFVlSHt4tiSWczGDCvxIWYsfvqT7tvGWDh4sTlZ8H3i86fnPra/oIzSSgfFlXZ5/jrOOR+6/2xMmTKFyspKXn311Rov1dZqtTz88MNMmTIFAJvNxtixY7nssssaIquXhBObLV2IC/HGDCsllQ70GgWtRvH2b8orrSLbWsnuI6UnLfEvzMli59rV7Pzjd3bu2Mre/elk5xaQXVhGTqmDo60362ViNxMvDkvAbgqjvT6YLLs/SY5wiiqjaRneBgoASwLozk8/n0uJ58L61fpDNDeXEVJ9mNTccpqVlUOWjSVrtrJ02QYqquz8tU8rWuZZ+OJ/W9mZkY9Jp+Hm3k1xNokhLNiCYtfSJKeS7evSaZacSF5REkmXdyc5OIWD+e6o6Pg+lg35MOkpfTboNMz96QCbs4vIK60mPtiP7k3CLtgD1S9786l2uHA4VdrGWQj1N3hvgEadlozCCnQaDYmhJxkwx+UClx2c9mP/Ou3grAaXE7Q60PmB3uT+V6uHo69m8SynvNpx1g84jbXv28mOtWqHi5TwAKodLu8D3rbsYmx2FxmFFd4alrqsh+fBJjTAQKzFj1Kjg0OFFXRODiW31EbL6CDKqhzklVWRGGbm+g5x3t/9sjf/nJ8Hf8YH1kyr+zxRUb0DTx0qrOCXffk0iwo86TD8GQUVPu8M/WVv/rF+hSoE++kxaDUYdBq+3pjF+gwrRp2GworqOu87T03euWhyeyYuxPFwrgshMq0VlNjsFFfaCfE3UF7tIL+8ilKbgyVbD2PxM5AQYubO3qkXpN/+n83Jgu/16VZyS6ooqrRzxdHzJj7EzK6cUrZnFxN2dFTyEzWGe35DqFew1q9fv3ovQFEU/vvf/9Z52lmzZvHII4/w3//+l/T0dMBdg9e/f3+fkSdNJlO9RpoUNXkuQsWVdpZsOYxOqyEh5Pz0Z/HokBhCcaWdsAB3kyzPcjolh5BbavPe9AzW/fy25P/49cdV/Lp5N1sOFZFX5o7GFCA5REuz6EBaJ4VzdffLiIyJxy/Agt4vEL3RhEGvR6/TYDAY0ev1GAwGtBqFalsFlRVl5BUWsX7bHt6c/w0RaYk8NLgVJTnZhNjzSKzajKU0D81PLvgJULQQ1gQiWkJk2tF/W0FYU/cD7J9ZcRZkrWfpt4v4+LvVbD94hL80V7iv57FmJi6NAbshkLf+ncuv6TbMBg3rt+1nxUOtmbtsG356LS4VftiWxapH26OUQpjTxuolmby2osA7n5gAhd/u8KdrqJmqgHiISEGriSLMnEhxWEvi23eDgEhvAHGhHB8sbT9cwu7DZVQ7nGgBVN+bC9R8Jcapbj4nNtX1TFPbbxLDzMQG+2FzOtEp7r5OR4ptJIaZOZydhSN7JdY1m2mbpKdHrB1KsrEVZaOtyEPnqkZR61naoTWAOQzM4Vg0FuZ/uR+H3p+4pq0YPPg6CO4Ilnh3cFcPGQUVOF0qa/bmU5kY0mhuyp4H1RPfjXV80/EjxTa2ZRcTH+Lugxtg0nmD5rpYn25l8R8ZVOUdILx0L9W5ezFVFTD33wWUlJVhq7Rh0CkcCjRhS4umU9NIVBRKq5zoVTis0WILDiUiPAJLcBgYA8EcCoHREBjrPj802jqv86UyyE99HvAyCipICHU31++cHMq6g4VsziziSImNtQcKWZ9u5c4rU73n/cC2MezNtlJmzWfBij3EBumIDtChFJVTUVyOJUhPvFaL3k8hMSYCa3kZGYVVGLUaIgPdfdtqO65qsz7dXRt3uvU4Xw+0F+J4qK11z9msT0ZBBW1iLbhcKm0TgokIMBIX7B78xajTkltiw8+g9W7/XTmllNkcJIb6Fob8GQOEc+GkwbcKQX56Aow672jSnZLcfdlPNejOn7EACeoZrLlcrnq95BpAVevWM7WiooJevXoxfvx47r77bkaOHFmv5Yi6UVWVzJJMFEVB0SokRyl88msGpTYnigKRljCizP4UVhaioKAoChpF4/2/wtHPR/9f2/enOkY6J4d6Bz3wNJeKNmvIX7uI4sVfsez3tWzcncn+AjsAUYE6urWI5r6/tKVlWmvS2nelWcde+EUknfVDeX9rBQWBU5n89otYmw2ja/9HOWStICzASJgfdAm1EePKhcJ9kLsTcrfDug+g3P0eQHR+EN0WYttDTDuIae8O5M4ggLsobgb2Ssj+AzJ/h8x17r/SbABmzKtif5FKWlIk/1iRSUna7Qy48Ra2lfoRERlNqc3BkUW3kRZv4bZHJnP/iKsZtzqSgsrt3DVhEpf16McDN/Xnwc0tefedt8koqGDTpslExH3Hml9+5o/1vzPhnnvou9DIO0+Ppm1gGWZnDuEF64ja+xkaVzX8F/ALcQfSkWnufRN9mftzPQOGM2HQafAzaAgPMOBUVdonhtApOeSkI/cB3r5uxzdLPL7ZSGF5NWU2Bza7kw6JId72/LUVrHj6g0Y4c/jvwo/Ys3MtJaYS9mdk838bSrytNA1a+GJCR9q1bUV2YDMqQkPRm/y5okUMaPTuGjOt/uj/De7jWaNz17I5bO7jwGGDqjKoyIfyfDZv2M47y3cSEaDFumQ9f7V/CT9rAQVCko/uk5bH9k1Ys5PWVntqKyKCTJTZHD7bpSHOkRNH+yusqCajsIJdR0ppER3oLYHfklnMT3vyCPLTU1xpp1lUoLdAqtY+S6oKBfvc51PuDqry9vP04wvZfrgCz21Tq0CIn0KgSYefUYe/UY/dqZJRaOON77Yy+LJwHr02mYQQParLhV5xElRRhV92JTjKwV7uuzKKBgKiIDjJXdgU1uTov0f/r/Mtzb5URsI9WaBdG8/gLeXVDndfp/QC0vysBGZuJtJ+iCb7j+CfUwSuQr5ff4DrP8ym0l6//Jh0cH9PCw8Pa4rGP5xSbTC5ajAFuiiyI1KJ79DevY/8gn1/WMcBP871A+3x5975fs/fiQVUBp2GjRnWutW0Ox1QlA4l2VCWA+V5tCwq5pP3viO3qJTNtmq0iopJp1BRZaeq2o5WgXw/A58ZDKgaPYrewMDeXdDHJpOvNic8Mo6cfC2V2jAyChpPTf/F4mTXkLgQP3JLbbhcTnZmHKG6ohSjLZx+rWOIj9WAsxSKC93XSZ2JrHKV9GKXd8yMi70Aqb7q9VS5evXq85QNMJvNHDhwoN7BoKgfh8tB4muJJ59g/blZzonB2/EBnVlV6KJqSMxwsXFVNTsPOSmrBp0GWsZoSGquIzHJn8PJRqyhOn7TOPidXWiUPSg7vkbZcWZB5Infl1c5qUhx4t85hFcn3U9s9utYmgej12ow6nWYdFrf32gUNNEpWJwJpFZX0rSqgmbF+2mas4W4399FA1QpGtKN/uwzBbHfL4gDpkCyTEE4NdpT5jOvtAqnC/QaDdEW8ym335msa20B9el+E1RVRpz1ELHFmcQUHSKi5Aha1YldqyfXEk9uZHNyW1xFXkgih7+cTWr7WK59ZBT5M/7Ny+98SG4TC+bEBH7ZXU2gSU9OSRZxIU784/Zx9QN/Y+Ez7wCQp2Sw3b6JFjcMYMknHzJ/SAtiWjXnYP5u0Lv4+uDPRKaYGD3rcd64dxJ3z/mOIU8+RFSEP/n+VbToHEh7/woCijIwF2Xgb83AvGc5fus+QFFduBQttpAkKsObUhnWjMqI5lSFN0c1Bp7T7ZlbZqV9oo7QAB1JYQFkF1Xy5cbdxAX7Y/HTExEUAIpCZqGdKIuB/XnFVFa7yC+t5IhLxazXsS27GJ1WQ5nNQUmlnbwyGxGBJmKD/TAbtN72/Da7g73+Rq5oGg4F+7BuXcFTz7/J/zbuY0eODYAIfw3WShWHS+X2G/py521jaNLhSnoPHcnI+QeY+ObrNEuMo6C8irAAI8kpUWf8IOKy/AhTlvH6Z6uYcNtIbtvSjEVvPUWEPRvyd7sLOv74BEoPu3+g0buDt+h2EHOZO6iObgPGQG9thSdA+u1AAUu2HUZBoVXs+X+h94l9LDzNeEoq3f1edUcHvMkvryKh2h1YpoQHsGzbYSqqnRzILycxzExOiY3C8mpCzQbWZRSSm19AmnMPzXdlgGMXZK6FyqPvFgxJxkoU27IrGDOoK+27XE5c83b4J17GPlsQKBo6JblfiP3L3nz+SC/gy88+4ccv3mHZq5sZPPoeBt1yN3qD0bePnNPhXkZJNpQecReulBwG60H3PtnxDVQVH90nOghvcbSQ47g/88Xfb6QuzXQzrRVk5JeRqmTROudXlKy1GHI3M6Y6HYPq7oNmVwwUGuMhKBViu7BpUxBo8vj31NEoehM5FS4MBiNBZj8SwgMpsrkoqHASZNISpHdRWV5GaUkJy3/byguLf6brlUlcGxmIrjSPmJLdNKvMQn/ABr8fzZQ5DCLSjhZ0pNHdL4WY6CRiY0PqtL5n+kB7YsC0K6eUbGslNoeTzsmh52zgj9p4+vLlltqIDDRhsztJDDVzqLACP72WdQcLsVdXkaqmE1WxF/J2QcFeyN8D1gPgchybmc5EQbGOf36ZTctIA4FGLSju67WKgqooaBSFQqDcZqei2klumZ2f16xn9Rg/wve5z/VOgIqC3RwN4SkQnOguhIpo7t4/YU2lqwS1FDqrKiVZe1j3v8Vs2riWnTt3kn34CLmFpeQUV5Jf7qS8umbJg0ELQUaFtHANvRK19ErS0SNBSw+jgkPR4TRYcJpCsQVGYAqKdLcYCE487i/JXXB7CcUTilrXqq8LYNSoUdhstktuOP6SkhIsFgvFxcUNPnqlS3WxfN9yVFVFRWXNvnxyS22EB+i5PCUUFZXf9h9L65wcys4jxdjsTnJLK4kINKLXKjSN9EdF9c5HVVVcqssnzaW6UFUVP1sx0YUHibKmE2PNIKIkG43LSdrbFVSoWvpemYJf66ZoWqeRGB9Wp3nW9ftT/Sa31EZ2UQU6XGx740fKM4to81gfwhMtaDUK4YGGGssor3ZQUWXHpNdgMmi88zU6qkm2ldLEVkoTWxlNqkqJr65EC9hRSDf4scdoZo/BzB6DH3sNJioUxfv7KruTSrsDg05Br1XO+bqe9nuXi6aqSjeni25Ole4qJB29MuxH5TdF5XfFxS+Ki82qE4fiO0/eA6KAoYAD+BAoBO4EPAO4vgtEH50GYDHuh5JbgKaAC5gLlAP3AEuAHGD8cQfwXuBj3HfPwZzyZbJ+KrRFSwc0dEBLB7RchgbT0R/tw8VGnEf/3P8/ojT85fBo+Of+n+Iesl2rORosOhUuUxV6otATDT1ViEJhwQ47N31WyRUdDehT9eQkG0gPAlepgrLDjqVrAFp/LQoK5QUOrK/loIvTE31nDA4VHE7QazUEmvT1DlwVFEp3l7L9xe10nNmR3G1WMj8+QJMnL8Mv1h9FUbD4GTDpdQQ6nSTbK2lSXUnTqnKaVJWTVF2B/uhtaKPNwC7MrCvTcURrpjg1gt0uHeVVTjRo3EFluD/+hlryydkXUGgU98AgOSVVKCgYdDpsdicaRcGlKgSbjeg1GgKMOnRajbuARavF5YJD1kpKKh0oKJRU2mmhraQj+TStPEJadQ7NXFa0qFRqjOSHJZITnERuaDL5ocnY9WasOVYeG/QYD//zYcxNU6l2qlTb3a1ZFEVDmL8Rh1NFr9OSnl+Bn0GHRaewbdEKvnr/KyLiorj+odvo1qs9kYF+3nXKL6sir7Sa6CA/d/rx6w4YbCWYS7LwLzqEf+F+/Av2Yy48gNZZBUC1fyTW4BQO+yVBTEuMia1xBMaiaDQNUoh0su9PVFtNbI00Wwlk/k7J7p8o3PUz0aXbMLnKUVEo9G/CfkMLtjniKA1sQovWHQmISKLC4X4HXo+m4fzjH/9g/vz53i4bJ87f02/NM71HRkEZQ669iuKCPD74ehV5lbhbdfgbiNaX0zGohCjnEcjfC3k7sB/ehta6n98P2ThgVRnSOQF7ZBtCUjsfLexo6+5bfcJ2ONPa6K//yHIPnuJw0iEhhI0ZVnJLq8gvqyI8wF1I5GkieK55lr01uwhbtYvUiABaG3LY9sNXXB5USGvNAWIr96A7GkCXmmJwhTbDktDqWC2xJcH9AG8MZNPmzbRv355vVvxAnjGeXw/kU17lJCbIj0iLkTaxFqodLtZlFHKosAJncT7LXrwXo17DN1/8H+1jzWzbsw+lJJNAWzYJSh4UZUDhASjPdWdao3MvN6IlRLVx74+YyyAw5pIKGE4m01rB+gMF5KdvJblqF9Fl22nq3IexcDf93j3MqoNOtAokhuqJDw8iNjIUf0swGANxaAz4m81Eh1kICzBhLbNRXF5NtcPBrr3prNu8gwJrMRqNQlJ8DB3SkrmidQLD2ocR4CwmQlMKZbnufVJddixTJgtVIc2x+jfBFNea4KR27pYdARENtp1OVJ/Y4JwFa6WlpRQXF+Ny1XxXVmLiKWpyjrNjxw5uuukmOnTowF133UVKSgp+fn41pgsNvbhK+hpTsAbAH/8HQTFgSeCbgxoOFjncndWPvufKc7H0pHku+MWVdrYd7fjZNs7i04cGAHslav5eFn3+EXHGcjqHlkHWevdJBO7SjoSukHA5awsDuXzgSJYtW0arLldc8OZNxw9ikBhiJkhbxeCr+oBL5Z3PFtO2aXyteTnZzbdW1eWQsw0Ob3L/HdkMOdvdgzeguC/uMZdRbGnJYV08wQlpRCe3qtEU6ZxTVXcNR852yN0Gh36HjDVQUeBuJhXdFhJ7QFJ3SOzuvumdRufOnenUqROz35nNz3vyyMzO5r6/DiIgOIxbZ75PdKg/b943gn59e/PCKy9wyFrGb3uO8P3nH/PgA3ex31rFt5uzsBcc5qun72TkHeNIT8+izJrP7P/MJ9NaQUywkWiLiXdmf8isp6bSfcTNtBv2VzomhbAnt5TCchvBfnoGXhZNVJCp9mDWaac8czdq1k4Sqg4RXnoA/4J96KrdzcWq/YIpC02lNDSV0tAUSkKSqQh09ws6XYC843AxNoeTymo7QX7ukRHX7M/H4XJh8dPSOSmUEls1mzKtgEpKuD9RQUa0GigsryKvzIbT5aJ5dCCJoX4UltlwWfNIqDxMTOlhmlYeJr4kE4PLjl3RsscYxS5zDNuM0fywqZAVc5bzzMpnUDQKRZXVZBaWg6ISYzERaNJ585ldVMH6H3ay6fXFtPlbdxIGtKXUZkejgRbRAQQYdfUO/rO3ZLN00lKufGEQ5nAzqx9fjCnBQsTNl2F3uogMMpIcbq51HhqXgzhbOalVpXw3bw+btpdSWeWizP0sRnKIhmE9A0jtFsYBPzM5QUFkanWocMaFOqf6jd3posrhxKW6sDuP9pNVVAw6BYfLhVZxL9dmd+J0udBoINCpkpzpIDDDTsUhJxlZTpqHavjXED8qguFXXPyqqPyKkx2Ki6NLdhd0eBQCbwC3Aqn1PKdzgW+AQ0APoB9nNXyYRoVmaGh/tKCj3dFCjyjcNQ1FqPyBkz+OFnT8gZMduLA38HOpT/CmKqiARtGg02gAhVgXdFc1XIGG7iq0VkGLexypXxX4DYV1Gg3b9Toq0GAvcWJ3qmh0Ggx6HUajFpdGwWDQotdqyV+QT+X+SpKfSK41iHS4VOxOFaNWi1Gvw+5Uqax2oQC6Ihc7n91KZJ9oAgbGoNNqcLkUTHotOo0GPztoNBqMQUaKKx1oXC4KPtrFwd/zeO7RRLqb7bRRbQQfrUkq0eg4aApk7lYn+SY/HM2i2G8OQKvX42/QERFoOnmwe8Ln9IIKyqqcGLQaQvyN2B0qhRV2yquc+Om1BJoMhJqNBPnpCTIZzlmQXlxpJzOvHPu27Vg3bqckPYeDmaVkFrnPQ70GerYJoUOvloR0ak+6MZISpx4/g5Z28SEUltsJDzAS5n9sXfds2sPU0VN58csXsQWFsGJ7LnaXSnSQidHdU9l1uJR9eeVUVjsx6LQE+RlwFBXx70dm4B8cxMOzn6FCdQ+m1CIqkKggd8uXvLIqMg4dIbLyMG10BURXZmO2pmO2HkBXVQqA3RTsbtER3gxbeHNs4c2wByeiaHTnveXM4SIbmdZKEkP9iQ/xP+Vvzoi9ErLWU7H7B0b8/U1+3Z1LuyiFedf7YYlNpTikNa7wVvR7YDYprdqT9rcnSS9RCQsw0jExhMRQM4Xl1azYmYPLpRIT7EfbOHfJbn5ZFQFGHZmFFbSJt0DRYcoztvLV4u/5cfV/KbUW4G8Joc9VAxg9ejRxaZ1JDvcn3lTlbjVQlAEFe8nbvwmTdRf+pQfcXSXA3Qw8rhP89WPQnP4VDufTBQ3WZs+ezSuvvML+/ftPOo3TWbeO65rjNtypDqC6zq+xaFTBWnUFzIwFVNKLXHR+rxyjTkt0iB+xYUFEhFrwCwzCL8BCbFQEcRGhDOrdmSOVGn47UEh1eRE7Nm+ivKQIR3kRJUVW8gqK6ZWoZUq3Kj7aXMXor2x0STDy+7R+7n5ciV0h/nIIivEGfh++9gwLP/8P2dnZaLXaC94f5Ze9+RwqdI8S1SExhCxrJUey0nl63PW0Skvj+++/x2g01sjXWefTUQ15O92B2+HNcHgTjiNb0dmPlggpGnc1flgzCE2BoFj3wABBMUcHCIgAQ+DpLzIuF9iKoPiQ+8J19OJF7g538yfb0aZPejPEdjwWmCVc7h6UoJ46duxIt27dePvtt73baN+Ozdx240Cuuv6vvPfuO/Tr2p5hw4bxwgsvADUD3/d+2MchayVL5r/N+i/nEBGfRGpqKi//6z81AuQnp0zn+elTeHLKdLpefxvLth0hv6yKdgnB9G0RecpAukbArarufg6HNx/bL0c2H2uyZwxyl5ZGtYKQFPd+CUl2/xn8Ad9+TZ4XTyeGmDHoNKzelesdUGd9upWFG7IorKhCr9USGWSkS3IoaWF61ML9hFYepIV6AA7/gTP7D7RHm8lVGsOpDG9HaNqVkNTD3UdSZ/Rusx8+e5ety/+P/Ly80+6rX/bmsz7dyr9fm8Efy/7Da/9ZjiE83ltwcSZ9UlauXEn//v3597LfaJKayjeff8TzTz3EwCnziUttQYuoQB4d0PK087n55pv55JNPAHj44QfpFKXw6ddL+HbNTlbdHcuVkWXH9omnT2J0m2Ml6uawc1qS7Xk/k88Q334Otmxcw+7Nv2Ep2cnHX63go9/ycLjcfZE6JIeQkprCio3plFVWc+W4J7liwPW0ibN4m1WeeP1QVZUdO3fQulVr3vz4KwZd04e4YD9UVA4VlpFRWI5eq1DlcBEXYiQ22I9Mazkrth8hp9RGoEmHraqaFZ9/zO+ffkBCk1Te//BtAmMS2JRZhIqLNnFBRAeZ6hTM2mw2pk95jebXDCQ5PoK9eaVU2R1cFmSnX7AVc8E+/Ar24l+wD78Sd79Vl0ZHeXAiZaEplIamUBqSTElIEg6937lvCVCH3+w8eIRgayatXfm0UwoIL8ggrNp93csxWDgQEM+BwFh+doSyOc9OzsEcqrMLKM/MoyIzn/KC0pMeF37BZkLjQsjalkVcmzgGP3sjJZV2Akxad2HHcfkorbKTW2JDxYXN7qCwvBqDTiHYrOPQ4u3s/moL7SdfjSPYiFGnwd+oJdRfz7o3fqEovYgBLw3ApqpUVNnZ+f4Gsn/OJLR/EgnDmhNo0tDEoJJaVUqqrYzQgiIGTzvkzeeTVxoZ0d/CXoOZ3QY/9hvNZPj5YVOUU26/KocTa3kVlXYnRp2CQaegKOB0udBqFGwOBy6XC51Wwd+oPeV+crjchR4aDWgUanxvUl20dap0dbloU+7injfKya9QMeuhRawGS5yGshiFfeEuig66UNeq7oKNKKAL0AY4VZfk/cC/gfuB+pTz5wLvA8nAX4G6PterkIhCB7S0P65lR+LRGZSjsgknfxxtzfEHTrbgoqqBCzpOFxCGqwrdVQ09VIVuLmivggFYk+OkxzvldOxoYPteB9UOFdOoILQpRvRaLdaZOeg7mdH2DfAWnPgZtJh0OpwuFafLfV3THF2WqirodVqqj6bpNFrC/I0YdEe7kqgKebtKKN5SROlGK478anShBsK6RpB8VTymUBN2p0qpzYnN7i4MizQbaalzkVJdQVJlORYXdLhtXYP3P6xPbHBWQ9m988473HfffQwYMIDbbruNp59+moceegiTycS8efOIiori/vvvr/P8Jk+eLH3WzjeDGf6RCyWZLP7nmxRXv8nf/3IFhw8f5kh+ERt2ppNbWkWZzUlplYoKvDXQxH2XG2gKzPqpihf/W0WIn0KYv57wID8OlzrJr/Jnysw32JC5BPgPSkw7GLe4xuIzCioor3Lw9ZdfMHz4cLRarTf9Qo7w42nL72nbn1FYAX4RPPbi+0y+awQjR4/hi0//r0a+zrrDvc7gbh4Rcxl0cCcdKSzncFYGgeUH0Vn3EWXPJLDsIBz4wd2/xNOn5HiGQDAFHQ0WPOeM6h74wVbsbt7DceUwOj93kBHZCppedWygh+Ckc1K65HQ6fYJug05Dk7TLuOfJGbw5/XE+6NGDqqoqTKZjd9UT+1V0SAxha1YxYT1uJPDXFeQe2kPn9u28Hf49L07vlBTCc9MmY8DJ9GmT+WuBjdCuNxAfaqZNnOW0/TRq9OdQlGPBV6uhxyYsy/UN3tJ/cfe7slccm8Y/kt8K/JmxPIegoEBCw8KJjYmmMDSM+KZJ+EdGMy40iDA/DYXbS0nKLWKkIxeNIw9daR7hRUXEHTxCsD0H5ej+KjdEUBbWhszom9ija0qOXwvM4fF0SAxhp8OFwakha0s+Bw5l8d9Vq9my/lesO34l1FLzSeRko0bmlVYx/K6H2b/hf7w29RE++moJTlU54z4unhYV/kY9Bp2Gzv2HERn7CmW/fsbl/V6lQ+Kp+9h4N7mt2vv/Zpdfxai/DiZ+6OPsumkgty4rZ+evv2Aq2n20pnoL7FkGv80+NgOj5eigGU3cgXVgtLspUmCU+19z+Cn7lqw7WMiGgwU0968kynGYjC0byN+2md/27iFcV8GEDk7gCG2B1oqOPGMCq/bZ6NCmBdeMvIugNn2JCHG/NuEOTTUzn3qEpW8+hSF3ByNff+Ok1zlFUXA63IWQqsbIkSIHBq3zuAFoTOh0Wq5MOxZIby93EBMYgcPhHhSJQBh/z98ZMeRGZk99gIFXDqL7qAfpOvhv9GgSQfekujdb27JlC9/M+5jL9hUw+IHn6Z7QkkPWCmKjAvE/sb9SVSnkbENzeDOBRzYTeGQLMQd+dL/yAdz7Ibqt+5oTkgwhSe5/A6LPTcm2ywUlmUf7Ru6Ew39A9h88//U2jpS5yAk3sCkuBUdIB/a7YjlCKNY8O3lZ6ezYvp2cjH3YqyoBCAoNp0WrtrS8aSjBUYnYjUFEBBrpnGjBbrez7VAhhwuKyco6hL48l3TTHm688UZ6txp/0hYXX2/M4qe9+WgVKKioxqFVSQg10ykpBH17B2N+7kXVdzYGPfoCiUfTezQN55oPruH77O9pvas1U6dOBeCmxTexgAU41hbx4kvvEhIc5NPCJTs7G6bF8cSUGezd9AsvfbuMAQO601d7iL+UHkBT4nQXCIY1O9ZXNOboIEz+ET4FHU9/uZm9eeWgqnRJCfV5bcGJrW9OxadwLMHkPm8Pb3Lvp8Ob3H3OVBcYAtlqaUF+xUqm/30ifW9+EFNgMKt35ZJXVsW1Wg2dk0OJCTLyyZff8O2nH7Lvux/QLdMzaNC1dOk7GP/mnWgSG06mtZwAkw6TVsOedT/wj3/fztwhvxAbG8XlqaH8ui+fCruDg/mlJIaZSS8oJzHUTHmVHfVovXdUkJFlKSt48/FH6LVnDI88eT9t4y1sOlTItuxiooKM2J0uXLhoFRNI1EkKQlRUclUX+ZVFmAv24pe/j2YFe2hfsI97ijNRVBeqoqHckkBZaAploSmUhCZTEpKM3eB/yqD6VIUWeWWV5JdWERqgJ9RsOGVBR2F5FQVlVQT76wj206N1VhFafJjw4iwiSrKIsWYQWp4PQKkxiMyQBH4ITuBQcDx/ZFfBO/8kadTNxPmbWPnSQso/OELy8J7E92nDr/YPiLa0JjigFX4GDfHBJppGBaCqKiW2aoorq1EUKLPZjxZiKiio7rQqO6VVdqhWsRiNBJp0+Bu1NOnm4lCLcooHVVO8L5/KDVkUrM4id3k2id0TierfBH1EINWqA7NBg1Gvp8hfzwZUlpdVYdSYmXqRjSZ5VsHam2++yYABA1iyZAkFBQU8/fTTDB48mH79+vH444/TuXNnCgoKTj+jozwXJHGe6QwQmkqxPoogSzDPzF/l/er4h+2qajvXdmpKbtfH+PjK6ykst7Hsl2n071/NihUrvL+5//77WbVqFXS8lUPF3wDU2hwW3A+Ki1f8QM7hLEaMGOGTfiGHiD4x6PIMLUtYJx5/7g1mPHIXz7RpxW0THz3/QxWH+hMfmsYveyOoCOpI7ok3/Opyd9BWmg3l+e6Ho6oS97/VJ4z2ptWDKdg9ipgpGIIT3AHZOa5xOJHL5UKj0fi8ZyolPICAy66h01U/M+PJh9BpFIzGY008T9wHnZNDySpy9/u5fMyTrJw1nlBLAPFHRz3cmlXM2gOFrN6VS4BJR8rVY7ivtIJ/vjqTawqt/PXuR4k47t0sJ3sZZ50D7oBId2Db9KpjaarqDuKsB92d2a0HWTJnIcs255AaUcJh6z5Kqo4d+0FG6JGgpVeijisStXSJ1dLSGECFIZRSfSiluhC2GtpgiG6OOboFGyvCyXUGYi2v4rL4YDKPjk4a7Kdj/dad7N+6gV9++pHdm9aSm3nAvYzIeJLadObvE+6osQrr061szSzGoNcw8vJEnwKHiEAjhx+byesP3cwbb/6TPn8ZjUGnOaMbmOd875wSRma1i7wKB52vv40l70zn7Zdm0ia5SZ3mU2azE5fakojUVrRu636HZmpUEJNeeItxw/px+1MvMeuFWcQ3u/rYj6or3PuiYK97dMWCfe4RXA/+hFqWW/OVBBo9GAPcBR56k/tBUXWBy8mvq7N59NsCqo77iQLEWXQcKXPy7ioT942+nn88/ijGuDZE6YyUvRxBzyuGYukwkCqHi+3ZJSSGmkkMNTP11TkMuOZqnn7sQQqzDjDp1X+RXqGrNXi1291DCgb4HXs/XkW1E1R83ot3/DU6IdRMz2bh3mnLqxyENm/FM3MX8dIzk/nfvFns37KODq//s4570tfmH5dy7eAhJLQbgcmgxVbtZMmWwwxsG3PsODEGQmI395+H0+4Ono5sOVbYsX6ue4Q+D63RfX3yjwT/8KN/EWCyuJuC6/zc/yoKOKqOjkRqczfXLstxn4cl2e797nAHW94Repv0Zeav29DqTJRX2LDbtwBb3IvVavEPsmCJjMcS34RmPQYQk9ycq3p2pm2zZG/wsz792MiRQ492B9AdtGLPKCSovYtwfyOvd3V38fBcZ2p995nifsdabpmNUH8DLhd0Sgzx1rI+PmUGj989hqsPriMgtp/3RdrV1dXodDpmznyOPgOvp0/XDthsNjp16sSmTZvYsvJLug291Sf4dzjcTSL79uhCv+tHsXRlR6atC+KFV75nd1UlqWoGUeW7jxVC7fzuWOGT3v9YoVVoCqM0IaxRDFQYQkk1ulCqFTLy3QUdccF+5JbYiAs+oZuKqrpbdJTlufdR4X7aZu/EnrObwLIDULQfUN37Pqq1+5jpepe7dUdUazQ7d8GTrek35K/0bJvKL3vzSThaq90hMYQtmcXszimlc8++lEe2oWPeEap2/8zeX79n0dd3YTT50aZbH3pfez3haV3RGU3kFbn7XsaGRdEqJppgk5k2sUdfLB8cSbXDRXKIu6/qwZJSEkLN+Om0hBiN9L9qBPvGpLN43usMv3YIneKvZd3eMrTaKHD4ce+VdbuueTW5yvezvRJytqMc2UTAkS0EHN4Mf/zn2PFsSXQfz+FNj+6bo606LPHue/3ZUlUoyWLb5vXoqnYRkreZyLJdRwNop7svXmQapF3vbnmT2I3A4ATSgLSjs1i3bh1v8E/ahd7I7yWBXH7nX9j3zdsc/OwrmtgTcVRWM7jVDXS5/Njzns8gSMc5/tqWZa1kd24paw8Wuvvu2uCvlyXip9N632v68W/pZPlV0n1oGHd0i2XevHm89tpr/D5tJa07dWPY2Afo3rNXjZdxX4yvIzmrYG3fvn3cd999AOj17gOnutpdmmaxWLjjjjt4++23eeSRR85o/sXFxQQEBHhrX8S55XnAPt7x74yqdACKhoJKlaioaFIMWj4qLiClWUufl3hqtVrvw1pmZqZ33rWJDzGzc81yoqOjueKKK2os90LznLiel3NnWiuIGPoXqgqzmTJlCk2bNmXUqFHnNQ/rDroDEK1GITUioOYN3+DvvliHNz2v+TgbnmPJ85AZH2LmQH4ZrWItBEyYQs6BnWTu2+WtWTtZc9K4YD9axwVxZYs+DE1+j3Yt3DfDxDB3k0IUyCqqRK/RYKt2MurevxNsCebZqf9AqSrloSmzvMMrn/gyTqj5jrN6U5SjtTRR7ua9gPO/5UREZzHrm19BgeYhWtTyQtZv3clXy1ZzYPsGZv6+mfKVpaAoBEUEkZYWQ3JqU4yBIZQq/gRkK/RqbqWoMpf1e7IpKrLyu62MAGcZe3ftYN+u7VRWuAPzpKYt6dT9SsKbTcSY0JqYmFiGtov1vpT8eIVl1ezOKSUm2K9GbU5imJm+vXuza/hovnzvZZpc3h+g1vmcjud835BeRHxCAIcKK2h6xWCCvniPJydN5ZuvFtRpPiatgiUsnL/PfBWtwf0gGB9i5uaBPfnp/sd595WZ9L5mMHfedO2xHxnM7ge/qNY+88q0VrB0cyal1hyilSLaWypJC3a6O6FXl7lfPeCwufepogVFw7rl32GxOPjHhFvQBkWRY0ygMKAJrZJjOJSezqK5bzBj9me89ulqxt8zgTvuuI3i4mLSkmMYeXmi7xD/5e4h/sM6Xcsb879i0sRx3Hr9Vdw+7Z8czE8mr7SKI8U28suraBNr4dA+92AFXZocG5Uzo6CCljGBPg8aS7YcxuFS0WkUn6DJM9qh57UQA8Y/SUiTdqz+1zM8PXYIYXPn4x/dpF7Hf1paGu/N+gcPjB5GYliIt5/vaVtAaPXH9km7vx1Lr65wN8m2HjzWt6Q8z/0KCOuBY4VRDpvvqH7grhHSmdwFTwGR7r4nCV2g/UgIbw7hzdwDSxx9j1y1403ue/QprrlxNBpHFQpOlm7LpUlcBDqtBpvdRUmlndxSGxFBJkLDLd7Xynj2Y2KYu6br+D7OiqpwIK+c3JIq1qdbiQgw4m/UYTZoa90mnZJCiAgweh9Ajy88ig8x073JaBb931y+fHsmvfr0977Go7q6mj4DhrB9yx9MuPcennn3cw7lFZOYmEKbNm149dVX+d/Nt3Gk9FhLEU+wptfraZYcxZCb7+CLD95E+9w0OrdIAeKA7scy53JC4X73w/nRwiesB2HXEloXZdDadfSdBOlQYVdp/XY5JVUqZoOGa1oGcfOIJNC63M37ndXuQkRPjerRfRYYnOhuohx39dGBN9odfcVNzWDDU2DhGZ7doNN4uypUO1xsP1yC3ekiy1qBXqMhPDqWlNZjGXX7vfz0xzb2/baC3b8s55Un7sZo9qf9Fdfgcrjn2ad1vHe+tT1vVDvysdmdlFTa8QvSUlHtpLCsmo5Dx7F9/a888/gEXGHfgqJjb24pIWYD6w4W1uy7Xx96P4jv5P47fp8U7D1WyHFkC2xbCMWZ7gAK3NeroDh3twhvYUeEu7WNzg/0JrYezGfbvkP0ateE2FB/9zlVnu8+38rzoCTLXbBlr6A17vehOiJauccVuPxO9yuJIk/fh97TLelAoQ2zORgw8ODk5ylY35tnn3wQgJaJ4YzrmeJtgl9mc/i8INvj+OdPf6OO5pGB6BSFtemFpIb7k1lYgQpUOpwkhpiJtfihquBwqgQGBjJx4kQuH/Q35v3f56z+9F1mTRxJ5x5X8vSkKdC12wV7/cT5cFbBmsVi8V4cgoKCMJvNHDp0rL10YGAgR44cqdc8161bxz/+8Q9++OEHqqurWb58Of369SM/P5/bb7+dhx56iD59+pxNtsVRqqqetNmp56Fbq9Fg8dN6S3ZzcnJo0bE7hwor2JZdzMC2MWi1Wu8Je7pgTVVVFixY4NMEsiGdrJlj92emcGDfHsaMHcfPR2DcX671eT/ciS8pPhsbM6xkWivRaxW6poSdl6D1ZLVM54qnGeTxF1u9NgCzQUtqRACxb3zA/SMHERsbC5y82Wu1w0X7hBB3k5me47zp8SFmRnZ1Pwz/cchKZlEFscHuAG7QzXcREhbG3x+cQJk1jxmvvcPXG6sorKj2eSmxZ0jo49+PdS72odPpxGjQExFopKLaidWupUerVrRq1Yq+V1/L+oNWnC4nhw/s5ve1ayk7kk76/j38tOp7igryKS91N3Odf9w8dUYT5gALUZERtG3bho69rkYXkUS3rl2JDA8nItDofT+b2aA9eYClgL9Rh0GnqVGS6NlXqbNm0uP77/j2Xy/y7OtzfApi6spzvtucKtUOFzd0jOerDZlcN/pePnllEv/9ZR1+kcmnna9LdWEy6KmsdnprGMB9vIy5ayL/XfotUx65m16X/0paUvQp85RRUIFD1XCw0p/gxHgCW0XBadbJtOAw8TlOJk57i7k/H6Aiu4RwoxadRuEvvTuQoz6NoeP1ZK36hNefm8o7r8zEYbdj1/jVeAD8emMWZTYH+aVVJCa34c6X/8NHz9zPCxP+yrAHZgL9sVbYKa60k2WtIMnurgHwFHzW9kCZUVBBkEnP5swi2iYE17huZVorKCyrJr+8ih5NwhnY5nbuuqEff793HNdd1ZuJk56n16CbTjtKoqcr+5NTn+WB++5myMhxTJj5DjqtBj+99sxLpQ3mo8PQn77/Ik4HOKvctZ46v3q9v1JVVaqrqzEZjWRYK+mQ6B7R0BwYxM4jpSSH+5NhrUBBQatR3A3Jj94Kjy/kaREV6L2eBZn0lFTaCfHXowA2u5N1BwtJjQgg1N9Qe63acaItplrPU0VRuOORKYwd2pdvF/yHHoNvokNiCGWVNoJM/tz11HNMuftvfP5/8yktr8CBltF3TuDDDz9k5pv/Ysjwkd794Ql2dDod8SFmbr39Lr7+9zu8/PKrfPTuG95l+uzv8GbuQPdELpf7tQ/leeQdyeT3jX9wsOhxhvRujw6VD/63iWHXDWBIt5ZH38eoB2MQBYqFw/ZAwmPiiU5sUevDvqcvaIfEEJ9t4ins9xb+O1wEmfTeaVvFBJFfXoVOo1BR5cTmcBIeaCTDWkFUXBLNR93NXRMe5uf1m1nx3VdsW7Ocspx0n3mejGcbeoLq8moHoQEGyqrMjHvyBZ6/8zoWvDmd3ndOp1WsBZ1GYWOGlZTwgHPbfUOjhYgW7r/LbjqW7rS7+6CfWNBRnu/uh16WB9Wl3vdgjppdxpZcF6khClvutWAyGbEbQ1ACIjFYoiGuM1z2N3cgHd4MTXAihloC6NP10/fEAH5GHYmxFoa2c9/jV7sGMPqZD1g193nCk9K827i2F2SfuAzP/RoFbuqSQK/mEWzMsKLTajDrtZRU2jFEaAgPMIICbWIt/LI3H4NOw6JNh4loeyW3de7LgfX/47t5b3DDwP50u7IfN4x/jJDEZr4tAy4SZxWstWnThk2bNnk/d+vWjdmzZzNo0CBcLhdz5syhefPmdZ7fL7/8Qr9+/YiLi+OWW27hX//6l/e78PBwiouLmTNnjgRr50htNWsenpu/VqshyOTuWJ+eX86RnBwiIqPYnFlEQujRgO5osOZwOMjOzkav1580WNuyZQuHDh3i+uuvP5+rdlonvuj2xButoijc948X+HXTLuZOvY+g0M/IateKdRmFGHVajFoNHRJDzvoinWmtQKfREOinIzU84LxVzZ9Yy3SuL1QnHks1mrU2b86S37ejaA1kWitO2uy1tvTjL+TXd4jzBkXlVQ7vy1K7XzucRYsSGTlyJLcOG0Cve1/AEhXPgDbR3j4V69OtQM33Y53tPvQEqrXl3VPDV1HtJLp9e+4b7m4G4+nHUV7lINio4KiupNruJD7Uj10FDnblHnunUVywH6t25lJQXkWRy0ikQq3N42oT6m8gLSaoxo0201rB99tyvA8+Q8c/xicvPcn+zbfTokO3em8Tz8O9v1HnXVa0xcS+luP432fv8tzMZ3nihXdO+1LicpsdvU6Lw+nyNrmLDDLhb3CPrjnmyZeYfsdQbhp9Oy+89R52p1prAUSmtYK80ipKqxx0bxpOYh1r7l0ul7cQKdTfQGKoGZvDSUp4ANUOF31bRGKtaE6XDs8xrLmZpZ/PZ9HXC+ndo0uNeXVKDvE219mYYcUUEsWYZ+fxn1eeZMELDzPw1onE9r0Zl6qi0Wgoq/QN1mrj2ddNIgO8BQ3Hiw8xE+pvoKzKQbXD5X4vG/Dax9/ywpQnePkfD/Hflf+jy82PEh1m4c4rU4kPOVaQkVda5bOdqrT+DL3rCT589mG+/fY7+lw1wBvAnHda3WkDtBObNHn+H330tSuKVud92PfkOcSsJ7vIRlGZHZfqHi21yuFkd04p6w4W1vpAefy/69OtVFQ5yS2zYdRrKbM5aBHlvn/UVtBRl/7Y/a+4nKsG38DX896gbZ/ryLKaKCmrJMSp0O7yKxj+t1F8894L+AdaCLO0xy8ymdbd+rLw3+/QtvcQ7zXd8+Cs07m3W5vUWG4cfTtffvQ+hc9P9Y6kfbL97UOj8TZP3VMSQVGcu+lup78+jim5Hb8eGMKMVWUcufIWn6Br19FrW4lLi6PUyfqDWTXO0Y0ZVoor3dfv44M1T7DpOQcSw9zX6UA/PdUOF+OuSPHu9/UHrezOLcVmd7qbKh9tkrkuo5BcbSiRV95MbJ9bqM7dT4pFIauo8pTH7Ym1OuVV7m0ZYNIRkJjALQ9P473pD9Ox72CaXnEVof4G4oL9aj0PzwutHkJT3X+n43JRNr8ZLZLi2bNxDSMyRvHU5GnevoPH36s82+TZl14jOrU1A/r2rNfx6ymo79okkubNoumcHMqLy3byR0YRhrjWPPD21/hHBXoL3jzXRE8LgOPvkccXPh2fBhBk0nPIWkFoVCBNIgNYtTOXaqeLNnEWjhTbWLkzFz+9liA/PbtzSmkTF0zvqwfRrmd/1AO/8eLM6Txx6yB6XjuMyKemEX9F27PaHRfaWfXuveWWW9i6dStVVe6bzLRp09ixYweJiYkkJyeza9cuZsyYUef5PfXUU6SlpbF9+3ZmzpxZ4/u+ffvy22+/nU2WxXHUow8Jp5wGhQN5paxPt5JvLabKZqMEM/GhZrQa94AEnmDtyJEjuFwukpKSThqsLV68GH9/f3r16nU+VqnOPMHLyarjM60VFFfDXc+8hSkgiH9Nupvfdx+ioLSa4opqwgONlFc5fEr/zzQfCaFmBraOYVzPlPP2EJQY5u5DkxhmPi83Fk/A4hF/dFRBz/rsOlLKZxuPsDmzyHtBPv77E38H7gcfz8PYoUJ3MyRPoGc2aCmsqCa3pIpDhe60QYMG8euvv+KwV/PFlFs5tPVXCsuqvfOJC/ajyuFEp1E4ZK1Ap9VQXu1+bUWmtcI73Zmu+8nWyaDTcCC/jOJKu3cZnjSDToPeYKAMEyWqiV+zqkmOtNC3ZSSdk0PxN+jYmGGloKyKw0U2wgOMdEpy1zx2Sg6pdXnH65QU4v07XkZBBdsPl5BlrSS9oJzLr7mBJm068sLUv1NSWVXvY8Rzvl+eeiw/8SFmereKZeLDj7Ny8df8umETu3NLyTi6T2tj1CnotFo6JIZQYrMT6Kf3BqUo0LRpM7qPfoJtPy5m9rvvk1HonteJ88soqPA2o0kMqfsxf/xx7NlufVtEeh9wbumezJf3XsGc0V0Y2LU1r7/0PAf27KRf90415uU5HjonhzKwbQxtYy0EBPpzy1OvMnjcQyz595ts+fc0QvQuQv0NWEvd65Bf7qgxr9rmedJ9r/j+mxhmJiQogIefeZnHZ77B1p+WsGDa7ezYtc97Tp34G48oi4lhf7mJ5h16sHLuLCoqK876mneueJomeo6n77fl8NXGLD5fe4gfdrhHqIwODfAeRxY/PQPbxuBwqmg1oNUpBPnpqHQ4AYVSm4OvNrhbhlzfIY7r28f5HMue7d0pKYS+LSMZ3S2ZtrEW7zX1xIdLD8/16lTHYHyImX++8jzFBbn8tOgTUMDhsKPT60GB2W++jlGvIycrgzCLu1Bv1B0TKDi0j/ydv9VoBukJ1uJDzLw8/WlcTiczZr3ML3vzWXewkHXphWzIsLI+w3rafekp+PAM/hMaYCI5LIArr7+Zdf9bym9b97F6l7sJr6qqvDrpAdJ3bvYZvMtzjr7++uusWbOG+BAz1vKageKJwVp8iJmBbWNqnMOePreJIWZ2Hi4hr6zKPZiGvwGTVotZryUtLoiYEBNxTdNIbNXlpNecE3n2l6dVQouoQFpEBXLTiJG06dqbT1+fRmKg+yX1x7fMOJt7yDmn0VBpd0JIAi0GjGbp/72HLS/dJ1A78Vid9cxUJo6+gflfLfOux7qDhfyyL59D1pP38fIcc/5GvXeacH8jFj89IWaDu9mi3ek9Bg4VVvDRrwdZtSvXW4CaGGamvMrBrpxSvv4jy+c+7zm/Smx24kPNRAQYqXa4qHa4KKqwg+ougD1SXMma/fn8frCQ5lGBpIb7uwfySQ7jsl7XsuLntcx8+XU2/bKK55+47/xu//PgrIK1cePG8dtvv3kHDejZsyfbtm3jlVde4fXXX2fz5s0MHjy4zvNbu3Yt48aNw2g01to8Ly4urt7NKsXJuVyu046+qaJQ7XCBCrYS92AxMVFRPv0lPMGapwlkYmLiKYO1q666ymegiYZwuuDF87DXr11T3v7wMypLCvh81sN0SAjkimYRXN0qiohAo7f0/0wv0Nnp+3j9xWexlled1wt9fIi5xgPIuXSqWtqMggrWHiwks7CSnUdKTvnQ4rnhrU+3em8mngv18X1lejQNJ9RsIMhPT/PIYyX9aWlpLP/fT6S17cB3L0zk47df4EBeibsPiMOFUed+h5HD6SIhxOwN1NcftLI+3epuelFPJwaqJ6p2uEgJDyDTeuwGeWIaKmQUVpBbWkVWUaV7G6lQXu2gQ2II4YFGmkUHuqerY7+7UzVfSQwz0yomiLgQPwa0jqFLShijHphExt5dzPvw33y/Pcd706wLz/le2zHQ9ZobiIiOZdHcNwk06thyqMjd/7AWRq1CeKDJG+Akhpi9QWmnpBASQs38fcId9Bg4nOXvP8ehA3sIMLmbeR5//nhu9HUJaI/ndDq963CqwKi+D2ae82/k5YlcFhfM+Psf4aU589n82w98Of12inKzsZa5BxXIPUWwVhedktzvMPLk07MenZJC6HHtX3jg9f+gVpXx3YyxbF37E0u2HCYu2M/nNx7RFj+GdYxn2qxXKC/M5cfP/+XtU9XQPE1CSyvtJIaZyS+vwu50se1ICWv3u19hERMSyMC2Mf/P3nmHN1m9ffyb0WZ0T7opG5llyBIVUAREUZmyUQRkKMjyh4ggisgUBUGWCCgCIogLfVlOFARBUARBKaVQoCOdadOs94+bk6Rp0qY7be/PdeVqs56c53nOuPdBrs6In/9NwcHzt+CjlCM334jm4b6ICfJC5wbBqBfkBaPRZIkWKQrbfmE7pzpTypwZcexp3LgxhgwbiaO7NsBfboBBr4dKSetknkyNFStWAABSc2msjXyiF5q2jMP/7XofCalaJGq0FsH5r6Rsy33Uyb3w6JBR2LDuXSSnpZOXVy6DVmdASrbO4ZyXmJiIAwcOWK6zl0IOfyXNcWEBakQHqvHsuKch8/DEL1/vRI7OiGOXU3A5KQ17du7AsvmzYDKZCq2zCxYswIMPPoh/z55A96Z14KeyepETNVqciaeKg+duWNtve/1sx11MELUjLiYAJhOQbyQ5pUWkH3q1CMeMnk0w/9EWeDwuCi2iiq8SbH+/hFFMtN1LIcdrS1ciPS0Vn25+u4DC8/XXX6Nvz+5Iz8pxi7EBAGaTGQFqBboPHoewyGhMmzIRkf4Kp33VYNDDZDLh1Skj8O6Oz7Hs2wv4/I8byMwz4PIt59tYWDxrDUMtfbxn8zoY0aku7m8SgpgAtWWMirVc4SGzKFqAVfnOzqOc21PxtBYnZ1Neb0KqFm1iAixKe0wQVX7u2igYkQEqBHspoNUbYDCZobuTiyrm/nyDCdfStDh0IQUjxozFinfWQuXjj39vlnytr0rKfUe4+vXrY+rUqZgyZUqJQiABFBk+BwDXr1+Ht7d3WZvI3MEVz5pcJoFcYka72ABEKsnq1aRedIGYX6lUCqPRaMlXVPqHIl9feC88jUaDY8eO4eGHHy70XmVbpYpTXmwns4aNGuHZhe/iv3O/4eSOFejXOsIy4dkqESVBnO83336DLz9YjV0ffuDQKlteFHd9y3r9i1LWYoLUCPZWoI6fEq2ji86Xc1QBz5F11VYobxdb0GvUol4kTv50GMMmzsKRXRswb/xgaJKTkJylg8FkQp6BNnYVni0ATj0LrmAwGIpU1oTV0NaTJ/pXm5gACreRAME+CvgqPZCWnY8D55KQazAixFuB9rGBeLJDDFpG+CElR1ekZ8rRtXT02agANZ7qWg+zejVFn5bh6NIwGAF170J4XHcc+nA1/oi/7dBj5YyilLUG4f4YM2k6Th79CrcSLqNltD8ZgJwcx15ZsvdutIzyw8I3lyM0PAq7Fk9DlBqWBfnAuSScjE8rdSEZ2zBIwPm4KK1ybzvvzBg/Aht2fw1zvhbvvTAEV85S1IgQ0EuLEHy8POU4Fa+xtD8qQA1IgLqNmmPGu58ivEEzrJ71NA7s2ACd3mj5TkKq1hLWKujaviWGPjMJh3ZtQnbqrUJhylXhUbAtPhEVoEaLCD+YzWbIJRJosqktGToTElK1SMnRQQIJUrN1kEklCPFVQi6VWjyvPZvXwcTuDdEqyr/UkQeuKmVFsWTRQuRqs7F941oY9PnQmShc7NRVDUaNGoW+Tz4FvwZtceqqBtfScvHEiPE48fP3+OvPP5GQqrV4pvRmiWXsJqRq8cSoZ6HLy8W3n2xDm5gAtIj0Q5NwXwoddDDnbd26FY8//jhycnIsc1WoNylW4f5e6NIwGBlGDzS+py+u/PQ5PCVGnE1Mx3uHLwAALv75BzZ/sL3QOpufnw+JRIJZ44bi/MmfCxhZElK1yMnT3Wm/1OHcYx8uFxOkRqDaE80ifNEi0g9ZeXqcuJIKT5m1qm2Ij6JUedq291P8VmhEDJ6e/AI2rF2Ns+f+tKwhZ8+exdlTJ/D1rg8qJyTSBTykQONwX8x5tBVeWrwKf54+iZVvve308wa9HjP/NxfRTVph16LJOP7zj/j7Rjou386CbxEyjjAQOIqsEQY2IS+KtbxL/WB0bRRcYO22VewhgcUjezqBDLcirNv+vuYbyMjSLNwPsYFeCPdX4om2UZbPxQSpLYbQU1c1aN6lJ15asRG3sqvXfs3lpqyZTCZoNBqkpaUVerhKp06dsGeP46phOTk52LJlC+6///7yanKtx2QywWRGkQutXCZDdCANsvP/JgAAWjWOKTDxyWQy6I1G/HjmIhRKFdS+/tAZCluHDx48CKPRiD59+hR6ryjBsioQk3NCqhbX03PRu+eDePG1FdiwYQPeeusty2dsrbYn413v6+J8Dfm0uO5bvxTXEhMrLMSouOvr6H0hhJ2MTytWGCvKuxQVoMb4++tjRMe66NmsTpHtdOYRsReEhLVXVHncf/p6AU+QTCbDA8OeRb+X3kNqUiKG9L4PW3d9Co1WjzbRAcjVW/OQAOfhgq5gNBotYUfOzj/ER1HAk2drnRdCcqCayhkHensW8BjYHsPWSlmckOxK+JUtBpMZXYdOQl5GKpKO7UdMkLqQx8oZQrh3prA/3P9JBIdF4LP3VyM33+i0TUUp/YKEVC3MciXmrNiE1Ns3sWLeVMilwNnEdBhNZsviXpq5xL4fOx03ZVDubenepT227DuIeo2a4Pu9WwEAyWX0rAEFQ7kKtN8MZObqcT7VhI6TlqHJQ8Oxb/1SvDnrWRh02oIGDBuiAtRY/ear8PX1wf7337KMQ/tQxMrkmy/24ZOVL+H6dQp59FN5oGGoD/xVHtBq8wAA6XkmaPONd8Ky5OjWJNQSkioMPbYCeVmVrbISHR2NiRMnYveW96DNyYKftwqZuXr8czML19NzMW72a2jS7h7ATMpqdPvuCAoNx+cfbURMkDVnzVupKJBnFxMdhX6DhuHj99chL1eLEB8FOtcPQqiPonD5fZAAnp+fj6NHj1quS4g3VVIUc11adj5a9ByE3IxUmK4cx7U0raVaobdfAFa9uRAvf3ISy769YFkb8/PzMWPOPMTd3Rkzxw3D9KUbsfmn/7Di4EUc+CsJNzW06b2PWuFwjhCGL7FOinWgSR0fPBYXib+TMpGea8A3fyYVitAoK8JAE3P/kwiLjMGaN1+xrCF5edTfPlq/CmpzXpl/qzyQwIy6wRR10q/3Axg48hmsX/kGdh06XuC6JGq0+PlSMvR6PTQGDwybuwYhDVvh5PoXcf2v3xBzJ+XFNkTRFuFZK2oNtMWZodz2dREdEBOkRpuYgELrmO28LFIKujQIxrj76mP+o80L5EFGBajRuI4PfJUUUl/SddFdKJOyptfr8frrr6N+/fpQKBQIDg5GSEhIoYervPrqqzh58iT69u1rccH/8ccf2LRpE9q1a4fk5GTMmzevLE1mbDCbzTBBUuRkJpFILFbzi1euQSaXI8NIArIQFm9m6pCr0+P8pSvwDaoDIySQ3RFibAXKb775Bi1atEB0dHSh33HHAWTv5Zk44RnMmTMHM2fOxEtvvY8tP1+hXL47VtvTCa5b2a3WSjl8fX3hpVbhg+XzkZdvxMqDFzF15+84cC6p3M6luOvrKZfizDUNLt7KssSqL/vmAj7/4zo+P3ODvAhXnZ9fcUK2q4KQq58T5+Mpl+LAuSScu5FRyBMUqPZEo1YdMOWdvQht2Ar7lkzF/72/FB4wFloAyiKoFRcGCaBAjpqzc7EP97OvWCXCfsTrxSngJT2n7k1C0bNTG/QZMBwHPloHX2k+TidoXBLExRzhKKw6IVULPWRo1+8p/PHDAVz79x+nbbINQ3SGuF79urXHxzs+wrdffYGN76xAqyh/yKQSy72NDlQhPjmzkCJfFPa/72zclEa5d6RcRwWo0apRNBa8uwPt+gyBf2gEPD2VRRylZET6qyzj5NjlFEQGqBDqq0CraH8AEjw2bgZeXLYB3x3+P4x87CEkXPkP19NzHR7L19cX8+fPx9atW3H27FkAdG+NJnORoa0VxfnffsLB/bsxuu+92LZtG6IDKZQzyEeBEG8SHFVKBdSeMvRsXgfj7muA9rGB5RYSfjI+DRt/+LdERjpXePHFF2Ew6JGbk4O7IgOpaq3RhFNXNWgXe6ffxZJHoVFYAAaNGouDX3wKT322RVm7u0FIoXPrNWw8MjM0WPbOOtp/8U6BJUdebjGev/nmG8trQii3FODx9sQ97ePQqkNX7PtwMxqG+sBwp6LpA8MmIVuTgk+3bcR1TS7NI6nUvqNXsnDPs4sR1qIzfnxvDo7u2YLziRm4la6zVIPs0jjM4b2x9RoL77nt+OzaKAT+Kjlig71dLsLkjESNtsDckabNR0JaDpQqBSbPfgV/nfgR545/TyG4GdnwDwhCvl6PSTPnukXemn2UwuuLFsEnMBjzZz6HlMw8y3qUkKpFlpbuW55JAq1ZhheWbkS9Vh1wfP3/cPXMz5BJJfjuwm0cOn+rUNqHI8+aoLRGeNsx2j420GI4tw9zjwlSW1IK/FQehT4nsB037mCUKQ1lml0nTJiA+fPnIzw8HM899xxeeeUVhw9X6dixI77++mtcvnwZo0aNAgDMmDED48ePh9FoxNdff41WrVqVpcmMDSaTCR4yaZGFMqRSqcVqnpGWAh//ICg9aSEUA/FmVj5gMuF6YiIC60QgUZOHtOw8srjaFIc4eOgwevbsWeg3gPIJISlPRFJ1Tr6hgPX19ddfR7dej2D5nCn49Nsf8Of1DIvV1tFGt84Q56uUmuDn54fVq1fjh4NfYcO2j3EhKQs3M3T46VJyuYQYmc1mnP/tJ3SI9Xd6fXds2YCdK1/GuQSyRp5O0CA1Jx/nb2QiO/+Opd/s8KsAXBOyyxNx/URpZ+Wd0vS2i3K72AB0bRiMDs3qYs2Wj9Hv2Tk4+fVOPDf8Efgb0gr0N/uFuSS4oqyJBcWRYGTrxbXNMXJWfMU2vKM8DRztYwMx7r4GGDhuKnQ6HV5euIgKuDio2mlPUWGQop0Txz8Dv+AwfL39XafX2JUwRNvr8Oijj2LhwoXY9Pab+PHwN5aqdF0aBmPNkoXo3f1e/HtTU0CRL2pMiXspPgPApXvhCs4El4RULfy8VZi3aAW+/OkMOjR03cBpj33OpwgdyjeYLM/7tAzHfY1CMLJTLBqEeGPgwAE4fvw4DAY9VkwegN++P2SZ8+2V7/HjxyO2fgNMeO4FS6Gca2lUJMlZaGtFofaUoXGTu9CpW0+MHj0agx5/FMb0G2gc6oPMnDveDam8QtaVRI0W+35PxN83s7Dv98RyFc7DwsIwadIkAECov3cBr4BtvxPjatLECZDJZFi3bl2hAiOAtd/ViYjBQ48OwM+fkQc32EtRQJG3PQdx/4tS1oSx4rnnpuDUb8dx/twZqO4M//C6DdHqocH47/BH8JPQnPbl7xSZk6WT4J8UHQbPWoFWfUbiylfvIeHL1TCa8i1hkEV5l23nPXE9AIoQahnlh0X9W2FQ+6hS5azaYl8cJVDtiZhAL9QP9sb/Jo5C165dsWH5Qly5nYWE5Ax4BwShfb8x2LN9M34983eJf6+8sTegpuRJMGneclz84zcc+3y7pUqqp1wKTymNXT8vFfxVnpDIPDFr2QY073Av9rw5Db8e/RbZOgNuZOQWSvsoyrPmbI0qqVxjO3c6KvNfVOGU4rYeqC6UqXT/J598gpEjR+KDDz4op+YAPXr0wMWLF3HmzBlcunQJJpMJDRo0QLt27YothsGUDJPJBI87u8E7K80qlUotgljK7dsIDgm1LMpicEQHegNmEzx0GniHRkOjM8JoNOGnS8mY2L0h/rqRgTzNTSReS6g22y4kpGppg8w8fYHXpVIp1m96Hw/06IGjq2ciJHgLevXr4nSfq+Imivz8fHh6emLgwIFofc8DOLFjOfos2IEwP290bRTiUtnn4rh06RJ69eqFWXPn4/ExUxy25eLp4zj1f58hJU0D47Q3EeijQq7eQFZMBU2ERXkR7IXsykIsAvc0Kqh4WfaUi7XmKvjPmI5ePbrhjZkT0LZtW6xfvx739n4MCalaXLyVhfM3MuGv9ijx1gauKGtirDhTesR9Lq60vS0idKu8CQyugy6PjcKPez9A10eHo0vrxsX+TlHKmrWdwXhmynSsWDAbPxw/g2G9uzg8ju0x7BdfR9dm7ty5OPTjcWxZNAONGtRHviEOMUFqXLlyBRf/Oouj29/CM7MXWkJHxebGom32vy+Tycpl3NnjrA+I1203vy4tjnI+AfLs/nUjw5LfFRVg3Qsx32BC+2bNcPD7nzBh7NNYNG0M5PPnOzy+h4cHnnlhLuZOeQpvbd2L+7p1R6sof2Tm6cvNaOAqZrMZHiovzHxjNSLadsf+dW9g8EP34MmxU9C6S3cAgFqpKNW+gcVB654av8WnoXFsYLn2EwCYPXs2Nm/ejDp16li2gHBUuET85ujRo7F27Vq0bt0aQMHtH2z7V7+HuuHQl3spzCzI2g/s+7oYz//++y8uXbqERo0aFfKgiN+P9H8Y/qHh+PaTrbhnwNP0m6F+6Pnyyxjz81dI/v4j5Deei6Q7IY6Bvio0i/BF5/rB6P/2Cqxt1gQfvzUfpoybiGxJc0JSph7OKh44mvfsx6vtZ0orrMcEFdzCISZIbbkPEokEy5cvR6dOnfDZ7h3Q63SQeXjigUFP4/dvd2PjW2+gU9z2Anub5qZcR3Z2Ntq0aeNyG8qC7VyaqKH9Rb3rtcLQp5/Fh6sXI6JpWzRvHYd8gwlto30BAHK5Bzw9pIgOVEMll2HNpu1Y+r/J+HTpDDww6XU0v6dXoX0WnXnWirrurs6vtvvaAiikkNneZ/vPie8XNd9XJ8pkCler1ejUqVN5taUAcXFxGDRoEIYMGYL27duXSVHT6XR48cUXERERAZVKhY4dO+LgwYMufffQoUPo3r07goOD4e/vjw4dOmD79u3Ff7EaIDbFLspCL5FILFa23Kw0BIeEWCxxAA0Ks0QKs8mElJs3EBUVjVBfJaQSM7o2CrHkdV06cwISiQT1WxYucV3ZuGLVEcVDDCZzIbe/Sq3Ga+9ug1Klwv+tnIbk5BSnx3FmTRdtSMnIhqenJyQSCRYtewv6PC3kf+zFrF5NkW8w4eKtLEtRitIittZYtXQx/j5/3mFIglxiQkBoOBJO/4Ddy2fjXGIaGoX6IMxXieYRfsUqMK7kGlUEjjwc9hZRQUyQGpENm+OljfvRpusDGDZsGCaOH4fU9EwqPCABbmfmFSix7wrFFRhx1k5bnOYYVTLinHsMfgZKlRpfb1uDtJz8MuesCZ4dPxYhdcJxYPcWh+872q+vKKup+M0Nm99HZEwsXp86Gteu30BCqhbZ2dnw8vLClx+/D48bf1hCR+3zAW0RHuKKCMsuymPqLHynpDjL+bTdXNhRKFGiRot0vQc+2vUJIiIicPLkSae/MXLoIEQ3bold61fgt/hUKO8UyimP9pcEs9kMpYcMak8ZWnbugZHLPsE9/Z/GrvfX4NUpIwAAaTpzhYynmCA1WkX5Y2K3shUlcUZoaCgSExMxaNAgl7y4U6dOxe3bt7Ft2zYABb0ctt+Xy+UwGAzFeuhNJhNCQ0Ph6elp8a4586CcScxE656D8dePB2C4UzFaa5BApvbF1JkvYsOGDUj47yLUcpojhnZugH6tIxEZoEJylg6tH+yPOe9sQ+Klv/D9dsoHrx/mV6LrVVSYeXmE4jnKaezYsSP69R+IrWuWQG7QIsTPG+FBfhg2aRb+74u9WLf72wLh+a+++iq6d+9uKcRW0djOpQmpWmTrDFDKZRg//WU0a9YMHy+dBYleh+RsHX779zZ9RypD41AfqOS0FqlVCsxeshYPPvI4Dq2dC8PlnwrJAs76RVHX3dX5VRzDtriIo+/afw6AJcLAV+mBxDT32XKktJRJuho6dCi+/PLL8mqLhfPnz+PLL7/E9u3bsW3btkKPkjJmzBisXLkSw4cPx9tvvw2ZTIaHH34YP/30U5Hf+/zzz/HQQw8hPz8fCxYswKJFi6BSqTBq1ChLkYnqjBjMRS0GZkiQkEpldDPTUtC0fowlpEZMQhm5BuTl63Dr1k1EREaiQagvvD1l8FN5WMK6Lv3xKxo0bYFMY9WW7Adcn7xDfZTI1hkKuf0TUrWIjAjHonU7kJOZjhfGDsWl644VNkcTi21SviZLa9nGoG/nlnh1/ivYvXUjvvvlVJH7wJUEYSX18PTAylemI9K/8D3Iz89HkxZx6DXlTdw6+yNObVkIf4UUT7SNcmmfKle8S5WFbVUp23ZHBVCVqSsZZvSc9DpeevMd/N+X+zDqsQeQmnAJDUK90TTcFz9dSnYpT0so3Fm5OhghKVO4qhiDtuWiqwKRsN+qXjh6DxuP899/jqvx8S7nrBWnrDUIC0DHu9shM/W20+PYHsNR2JenXFooZLVJdCiOHvwGcgkwf8ooBCvNyM7OxuOPP47uDz6EYSNHY+vhM/CUS6H0kCHU13FeWHF75lUU5VVgyVm7hfHJdi6zDSET81GiJq+AV8aRkTQ60AsDxk3D9QtncPn0rwjxVuC6JrfUW1+UFpPJBMUdK7/BaEZIgC8eeXoaNu7/HpGNW0EilcIk96qQ8SSuXZH73ZURLy8vl43UTZo0Qd++ffHZZ58BcF7sQbxuW3XbUZ8xmUzw8fHBfffdZ6kfYB8GacEMNO/+OCQS4Mf9HwEA8k0ShHgr8PLs6ahXrx4+WvUaZGbywEQE+lhCc8VeiA8/1BMffXkEsQ0bw8fHF9GBXi6dt6CoMPOKzId/a9kSZKSl4tuvPoevNxmmR4wYhZiGTbBv/RIoZBLLOpSTk4OMjAyMGTPGYdXz8q6qajuXesql0BmM8FbK0TAiADt37kTS9URsWvYKElK1+OoPUiDTco0WT67Y4zPfJMHcJWvQf9AQrJ0/DX/9cqjA7zjzrBV13Uuam26/jtt/1/5zthEG0YFqNKrj4zZbjpSWMilrS5cuhb+/Px555BHs3bsXv/32G37//fdCD1f5999/0blzZ7Rs2RL9+vXD6NGjMWbMmAKPp556qkRtPHHiBHbu3InFixdj2bJlGD9+PI4cOYK6deti9uzZRX53zZo1CA8Px5EjRzBlyhRMnjwZhw8fRoMGDco19LOqEJ61ojCagPw7GxreunULderUKTAwYoLUyDcBhvx8mIxGGFUB8JDLoNMbLEUprqXl4NQvP6NZ205uUUDElclbCK2ONtUVFanC69bDvNXbcPXyBTw1crhl0gJsiq9kFK4MtXvfF9Bcu4ysXD0UUjM8PT0t7w0cPR4RMbFYOv9F5OkN8FbKLZbv0k7kYmFY/MYb+Pvs79i7fVOhz+j1eoT4eeHZ0U9i0mtrkHjmBxxaPRt+HgUXFWe5XVXlWXNEkQUEzIC/ygMKuQwTx4/FmCUfQyb3wLLJA5Fy8ivIJICPyqPYggm2CndWbj7yjUUX6ilJ26syd1OMjcgAFR7sPxIqb18c3bXe5Zw1V4RLtVoNTUaWw/5cVD+yzVN05DmNjIzEga+/wrUrl/HMU6ORqkmHj48PZry+CkaTGQtmTsa1tJwi90esqnDeojwD5YGIcHBkeHHkbbQv3W9Py47dEFq/OX7evQ7Rgapyq45ZEsxmM/Qm4OPjCUjN0cFTLkX3JqFo3KgRJryxCZM2HkZgWIRb5UJXBGJtGPHMRMt9c6asib4t1ipn64oYh71798Z3332H3Nxcp0J5u9gAPNS2Ebo9/AT+OXEEABAdQtU2FQoFVq5cieM/fYe/fqZopgydNY1CzDUAEBUTi8VbPsfSD78q8TpXHopBaahfvz4mTJgAvV4PpVKJqAA17m1SB68vWoy/Tx+HLPG0pWKxTqdDRGQUjhw5gpkL3ix03cvLYCOwnUvzDSbERQegSR0fAECqLAgLl6zAoc924vejX8FooHSPusG+BQxjolhTvVAf7PxwGwYMGIDJY0c5zGW073Plcd1dPYazfO52sRTuK/YsdQf5s7SUKWdNp9PBZDLhwIEDFuuLLUIZEDezOCZMmIBz585h1apVuPfeexEQUPIy2vbs2bMHMpkM48ePt7ymVCoxduxYvPTSS7h27ZrD6oQAkJmZiYCAgAIbOMvlcgQHB5e5Xe6AKwK2h4cMcil1fqGs2ceMt4i23ievwDpIvHweeoMRGXm06eHxPy4g+eZ13HPv/W6xaLqS61NUHokIp9LmG9GwWWu8uGwDXp82Bn0Hj8KAqQvRtm6gxfv4152KW7ax2euXvYob16/jky8OQA4jzFK5Ja/iVrYRE//3Ol6aMBTpf/6Axg88glPxGvxzOwveCjn+upFRqEpgcQhBunHr9hg48hm8NHcuHn30UTRs2NDymSxtHjx8pIgMUGHY4IHo1Dgc40cPQ69evTF03hoEBwTAaDbjRnouNFo9VJ4yS8I7UPkFRkqCbey8bf5HVIAaj3fvAL+QD3F+/1q8NGMqevb5P3QZPQcq7wBc1+SifWzB44gcBADwVXrgWpoWGVoddAYzcvINaBruUyXnWF7Y5jPppZ7o+eQ4fLF5Bb7+eSo8AsIQ6OXpcM8iVz1rAClr6VnZDnMWXJmTYoLUuHgzCyk5OkvIqrifcXFxePWtDXjx2ZEwmUzo0+shtG5cF48+/xo+XjgJn2zdiOkvTMMv/6VA6SHHqauaQiE9laWs2fbLojwDFY0QYGxzS5wpa6LNEqkEvUc+h22vPov9X36D6Jadis1rLW/MZjPyDSbkG0wwmoDGoT6W3OHkLB08ZJEIVHsWc5Tqj1iLopt3QKtWrXD27NkC3lFbhEBtMBjg6elpKQBmv64I2a13796YOXMmfvjhB8t37ceHmDNiX52DuP27AAB9WpNMdexyCuLu6YH7uj+A3RtoU2/NnU29becasVbm6c2AV50S5wBWVP6uK7z88svYsmVLATlxxKDHsXXDA3hn8QI073A/EkDycoMW7dCo4wNY/earaN6+K9CsGQDH+VZlxXYutc2XFf2lU68B6Nf/MD55+xUsWk0G3GbRNH6cXc/t27fjgT790O+xx7F66yeY8OSjFiXendZ/2/Yfu5wCL4Ucak+ZW8ifpaVMytrTTz+Nffv24cknn0THjh3h51eyOGN7fv75Z7z00kt47rnnynQcW06fPo3GjRvD19e3wOsdOnQAAJw5c8apstatWzcsWbIE8+bNw+jRoyGRSLBjxw6cPHkSu3fvLrc2VhWueNY8ZFKE+ynh72GCVquF3Nu/UMJ2sI91nxaZdxBuZeoAmFHHR4HIABXW7j4ESCTwqtvCujmrm1Pc5G+rzIX49MLVWYvxweJZyJB6Q/L8i2gTE4C/bmQgKoC8cDn5Bsu5mwx6ZGdlYuTAxxAbGwt4qi2Ca0yQGvf3eBDdevXFhuULENm6C/68lY9cvRG+Kjk6Nwgu8UImBOlbmfkYOeV/+OnItxg3bhwOHz5smWCztXkIlFHYg6/SA7mhLbBg3cdYMHkk1s8ahXufX4ng0DrI1OqRmaeH2Qz8F5pd4DfcJQzSHluLpb2Vrk/LcPRpGQ4M7YDPh/XH2LFjceL443hy+iK0jOxb6DgJaXfyfQKpjL7SUwZtnh55elMB5bW6I5Lrh45+Bkd2b8Jby5eg5dDZaB3l7zAs19WcNQDINkiRkp6Fc9fTUT/Eu8Cc4IrSHxWgRpMwH0Tnq3ElJRsesoLGkCcHPo6k629g5av/g7e3N6IC1BjyRD8k/XkCn6xbgt49H0CIdwjSc/WFKpxWptHBtl8WV4CmvH/P9v7Zz3VFrQniGIFqT9zT/QEc+7QN3lryOt7bfQBeCnml9n+z2QylpxwtIv0sRRyEMhkZoHJYlKMmYtt35s6di+eff75AtIYtYo4WBvSYIDX+upFhCY+1LTAilUrRrFkzREdH45tvvrHsj+rMa9e6dWt07noffvnpB6TlmqC/01eupeVi3Zp3LJW8o0MKyomi/W1iyEAmCnpUF8LCwvDBBx/Az8+vgEFvxsuv4uHuXXF4/048P2UiMrO1MPv6ou/w5/HPqZ+xdM4UHDjygzVkD7CEJZcH9qX77fO6Y4LU2L5lM+LatsPCWVMAAJGBhY2N9oVC+kxbgvhb4/D800+iTf2jxe4zWtXYz63VtTpkmValb7/9Fs899xw++ugjPP/88xg9erTDh6sEBweXWeGzJykpCeHh4YVeF6/duHHD6XfnzZuHwYMHY9GiRWjUqBEaNmyIN998E59++in69+/v9Hs6nQ6ZmZkFHu6IK1ZsUbr/1q1b9B1P30Ku+msaCvVTKFWoGxGKEF8VJSj7KnHuegaOH/sJgdGNEJ9lLnKvruqAfUlvgKy48qb3ocXjE3H80434Yf9HuJ6eS4mtGi0gQYF46fz8fEycOBFhYWE4efIkfNTKQqWIt7y3BtkZ6Tj00ToAgMpDhrioAJfyx+wRylpEoBpBAb5Y8c67+O6777Bx40bLZ2QwQunpiTYxAbim0eJWlg4h9VtiyZZ9yM/JwOFlE3H50r8I8PJEkLcCPkoP/HgpGVt+voKT8WkwGk3IyCv7Zr5lxVFYj6s5C/369cO3Px5Hw2atsP7lCdjzzgLk5OQUOE5MoBreSjnStPlIztbRhrJmExQe8koNAatoRCjp4M4NMeCpybj445cwpd+Cp0zq8DqWxLOWaZBBr8tFSpauUB6Bq0q/fZiOfU7DigUvYvv27ZYtYCL9VRg0cRZi6jfEvGkTEKyWoGujYLSLLegJqkzPmm2/rIzw15Lk7jgr3W8bXvRwqwg8OuZ5/Hf+DA58843LG6iXFyaTCUoPWYGQZ0cFCWo6tn1n8ODBuHHjRrE5a8Ib4iw8VsgGEokEffr0wVdffVXkflqCQU9PhrevHzKMHgX6W7NmzTB58mRqg4e8QD+xzf8rj/3vqoJBgwah2d1dC+z56RfVBCNGjMC2d5fBT25EljYXapUSBsixZPV6/PfP33h/9XJLCHRJC1sVhzP5zjZX9c/b+Zj6xlpkZ2UBgEMl39bIc+BcEk5ey0Kbp19HaEwj9O7zMP7880+3NdQChUMkyzvctLIok7Lm6+tbIJSqrDz77LP48MMPXQ6bdIXc3NwC7mmBUqm0vO8MhUKBxo0bY+DAgfj444/x4Ycfon379hgxYgR+/fVXp99bvHgx/Pz8LA9nnruqxhVlTWyKnZycDABo1jC6cMGMdFLW/EPC8HCrCET6qyGFGV6ecqRk6XDr8jmENYmDn9qzyL26qgMibETku4jctnBfNXoNHYc2Dw/HR28twNef7bEk9NuW0U7UaJGTmwe1fzAOHjyIRo0aISq8TiHBQu4XiuHjn8cXOzahlW8eerUIQ8/mhT/nCkLwivD3QkyQGnVbdsKTI0Zj1qxZlspUZqMBMSG+aB8biEZ1fOCn9ECgtyeeG9gDy7fvh0wqwYnVU+Cfl4QHmtaBr0oOL4UHfruSin2/J8JoMiJDW/XKmqOJuCSC8LU8BUbNX4dnX1qMT3d+hLvuugubPtyFny9R/3+sTSSa1PFBdp4BCala5BtMCPPxQKifV6WGgFUmc6Y/Bx//AFw98iG6Nw11eB1LkrNWt04ADPl56NoopNAej67mPrpS4GHEiBGoX78+AMrZCPL1xgPPvoaka/E4vG2VQ6GwMj3ElZ2fWJLfcxYGaXuMqAA1mrbvipimrfH5B6uh0xsrVQgym82F+kpFFpOoLhQ1foSyZitjOSswIo7Tt29fXLp0CRcuXABQjLL2+CM48Ns/8Pfzxal4DZKzdZb3Fi5ciOdnvIgrhgCXCjhVN0Tup9jz01MuxRPPTEd6ejpWrFgBgz4fuUYpfFUeyPOri2mzX8LixYux+4v/g8+dYmwVlbPmrL3afCN8Ixpi2AuvAgACAwtvQWQ7pn66lAw/lSdkCjWmLt0EhW8g3n33XUiksmpTabG6zhFlUtbGjRuHjz/+uNyUq8aNG8NoNKJ169ZYuXIlPvnkE+zdu7fQoySoVCpL6XJb8vLyLO87Y8qUKfjiiy+wc+dOPPnkkxg+fDgOHTqE8PBwTJ061en35syZg4yMDMujskq1lhRXwiCFZ+32bare1rJBTKGJvV4Iuc5jYqIRFaBGvVAfSEEKSps6cqTeuIq+Pe6zhEVWZ+yrqomB3y8uAv3bRmPy/15Fk659sfG1Gbj42w+ICVAXKKOdkKpFfr4eWj2FT5w5cwbr168v9DsJqVo8PupZBAaF4ODWlYj0V5FVKz6txG229XqICXrMC/Pg4+ODCRMmUO5Hfr4lz0FsdiqUj4c7t8Kq7Z8jIKQO3pk+AqabFzCxW0O0jvKD0kMGo9kMs8mEYN+qv7dlnojNpHD0HjgSf/75Jxo1bYZxI5/E8MH9Mef9AzhwLgnJWTpL4ZeMXD1uZWjhIa/e8fBF0SgyGGOenYrfD+/H1fh4h58xmUwuV65rGBEEQ24Oet4VYqk6dipeg2OXU6DTG8otDNHWyyrGbZu4Vug/YTY+2boBH336eSFLtjvnXlYWJdkmp23dQPQbMwX//vk7Es//VqlCkKP1q6oL9Lg79gVGnGGrCD/wwANQKBT4/PPPCxzDGVKpFNfTcwsVAfLz88OQZ2ciyNfb6dYZ1ZmYIAqN79YklCqkpudCrwpCt/6jsXTZMqTevo3wQB9k5pL80G/UJLRs2wHvL5qBf67egFwmLVAEo6zVIR0pa/ZzYo7OgJQcHXr1fxJfHb9gMW7ZYjumujYKQYSfEgPaRgEKbzw04x14B4fDLJW5fdSUfVRUdZsjyhRo2qxZM+zfvx9t27bF6NGjER0d7XAgFxUyaMuQIUMs/8+cOdPhZ0pSsASgcMfr168Xej0pKQkAEBER4fB7+fn52Lx5M2bPnl2gw3t4eKBPnz5Ys2aNZUNjexQKhUNvnrtREs+aUNYcFVdpUIfyAZs1rAdAKHgUhvLVV8cBAHd36AjTnX1+wvyU1W6gCETYiG3MsziXRI2W9o0ZNhtZmRlYNWciOt8VhS4P97R8PyZIDYMhHyH+XgVjp+30HDFhz12wEFOffQb17uuPsKbtcTpB43QDbmfYKmuW+O3wcLz33nvo168ftm/fDr1eb+nL9vHtUQFqjH4wDuG7v8C0scMwcUR/LHtvK7p07YGLt7KQlauH2WxGkI/jcuiVSVkTze03oB0ydw18477AN5uW4MNZg/H7l49i7tx5aBJbF10aBmPZtxeQlZsPD62+mCNXb6ZMehbb1q3C5x+ux4BuhY0LJakG+tBDD2H27NnYunUrevUfioRULXLyDdDmG6HTl4+yZL8ZapeGwejTMhyn4jUYMmYckv48hsnjn8HwpbvRvkldPNWV5i532oLCHShOcWsfG4h2s8fi2O51eG/VMhw9erSSWuaasZEpiH0YpDNsjS9eXl7o3r07/u///q/AMRxhWzI9JlBtyT9L1Ghx8K9b+C81G/WDvUtcJKs6YF8wBWbgmkaLdo89hWNf70a6JhWBvl54om0UziVm4Nd4DV5Y9A6eG/wQPl+zAKNefgeBXp6IClBj4sSJCG/aFk069ypVUTHAOifbyhn2ebK3s/LgrZAjK1ePri2LjwATOd6JGi0+Pp6A8PBw9J2zDtLUq24fNeXqRtzuSpmUtfJWripioo+Li8PRo0eRmZlZoMjI8ePHLe87IjU1FQaDwWHb9Xo9TCZTuYZrVgUl8awlJycjMDDQ4UQthJuoqCjLd4SC8OuvvyIkJASd4u7Crt+uIc9gwql4TbUcLAJnCoEIiexYPxSKyYvw05pZGD1kALy/+hY+EY0syp1Rr0eov3eRk4f4jU71n8KHm9fjy41L8fTSHcjWAfvPXHdYkc8ZtsqabdujHn0Uw4cPx9SpU2EymZxWEBM0iw3D5CWbseX1FzD9meGYPH8l/Ft1g5cHCdfVVci1TziOClBbhP00rR4xbe7H8OUdcOG7z/DH5+9j9MOd0fuxgRjy1ETIPUIBswkqz6KvXXWnUWQwZs2cjoULF2LqzBeRJ/ctVD3QVSUrKKYRHuj7OF6ZvwAjRowAQMVMcvINkElcP05RiJCkzFw9Yhre6e82OU3TX1uFYQ/fi6/fWwjZ9GXoqaEqt+5cKKcyKa50vy0SiQTz5s3DE088gR9//BH33ntvBbbMSkm8uQxhX2DEGfbGl759+1rKtRc1PpxVUT52OQXnkzKhN5pgMJqq9fpfHLbXABIgQS7DoHHT8P7yBWgUEYj2sYH47uJtXNfkIkulxKSXl2LJrPGIbLEDT48dBwD46quv4PXDj3ghrjt81Z6lUjDEPXRWyMgyR+bpS6wMnrqqQWq2DqlaHTq2bIr6Ie3dOg1AGNIhQbWt2FymVfHo0aPFPo4cOeLy8e6//37cf//96NSpEzw9PZGeno7mzZtbXhePkjBw4EAYjUZs2LDB8ppOp8OWLVvQsWNHSz5ZQkKCJSYbAEJDQ+Hv7499+/YhPz/f8np2dja++OILNG3atMgQyuqAqwVGhGctNDTU4WfE5C2upb2y1rlzZ0QHellyoWpSIQZbRAjeoLujsWhgO7y3dSdi6jfAoMcfxcFfz2DniQR8djrR4pEtLmQvUaPFr/+l4aWFb+LiX2eRcfYw5Hcm35LEtRdV/OGdd96BSqVCZmam0wpitkQF++OlFRvR5/GBWDN/Kr7b9xF0+e5Xurc4bMNBHOW52e491blhMB5tE4ulr7yIk+f+xuI33sCJn77HyL734b05z+DaXycRUYOFD8GkSZPg6anASwuX4I/E9AL7lJVEcE5I1WL4xJm4mXQD69evtxg5QrwVkEnKpx+JkCR7IcSyt1NkBJ6a/QbiTx7FjRMHLOfCnjWiJMoaALS990E0aNIMc19ZUDENckBJDAQM4ciz5ijczpGyJihqfDgLQ40JUqNZuC8iA1RoE+O+Qn15YHsNRDrBY0PHoHFcB6jqkAc/yFuBfIMR/6VokRneFnE9B+LAxjfhr6fcaF1+Pi6c/wte2YmlKioGWO+hs0JGzuZIlzADRjPgIZVBLpU6rBDsTtiuMe7czqIo9UyXl5eHP/74AxKJpJAyVRbl6p133kF4eDi6du2K/v374+zZswCAlJQUBAcH4/333y/R8Tp27IhBgwZhzpw5mD17NjZs2IAePXogPj4eS5cutXxu1KhRuOuuuyzPZTIZZs6ciX/++QedOnXCqlWrsGLFCnTo0AGJiYl4+eWXS9QOd8QVz5pEIrF41opT1uw9a0ajEcePH0enTp0AUEU2pYeUKujVQOyT73vGxWL5xp3w8fPHW9NH49bNGzh7NRUA8GcSVRksKnZaKBGSOk3wQN/HsX7lGwhRmi2bkbsa0y6UtdMJ6YU+GxgYiE2baI+V4kJ3xYQX5u+Fz3d/hEeHPYMfty7B97uoYmV1EpzsrY32SrNYyJ5oG2XJO4wJUuPY1RyYWz6CTV/9grEvr0B+NsXpB/p6V9WpVBr+/v54fPhT+H7/R7iUcNOStwmULAwyJkiNJk2aYNDQEVi0aBGClWbL9S+vnDFnQqN4Pd9gwuNP9McDjw3Bl+sXQ5t6AwmpWs5ZQ8ly1gSJmjwMHT8VP353xBK1Yn2vbLk3zuAwyIIUd50TNVr8fZO2W7H1rDkyVtkrwvXq1UOzO3uClcaYERWgxlNd62FWr6YlDuOvzoj55uLtXNz/whpc9WqKRI0WPZvVQZuYAET6KwEzMHDSS5DLZfjth0MAgDwdOQj2795hmcfWrFmDM//EuzSWzGaz5R4WNxcCKPH4jAxQoY6vAo3qeFvkEXemuhYVsaXUq5JSqcSLL76IixcvlltjtmzZgmnTpqF3797YvHlzAetecHAwevTogZ07d5b4uNu2bcO0adOwfft2PP/889Dr9fjyyy9x3333Ffm9uXPn4qOPPoKHhwdeffVVzJs3D76+vtizZw+GDx9e4na4GyX1rIWEhDj8jDPP2t9//42srCyLslaVG79WFa0aRePVtR9DLgU+WjABeZmU4JqhMxfrHRMTTJo2H/cOm4rMjHT89c12PBYXiZsZeVh39DLOJqYXexyhrOUZTA4/+/DDD2P37t0YOnSoS+2JCVJDKpXi5dcW47FnpuPITsphSs+tPnlbjqyNgHXRclRtMCFVi/NJmbiuycXNbD0WTH8WH35xFF8d+QmvvfZaFZ9RxWAvAE5/YRpMRiMSftqLc9fS8V9yNo5dTkFadp7LSo64tksWLYRGo8Gn2zdZrnFlhSGK+7/mnbcREloH77z8PKQwsWftDs5K9zsjJkiNh/o+htgGjTD9f/Ms/UWEE1dE9T9W1gpSXEnyhFQt9Ca6XraeNUeCrCPZ4JFHHgFQfcPdq5JgHwV0ehNUd7YqiQpQo01MAEK8Fbi7XiBG398EdWNiLPUVTAYD1F7eOPzVPvx3Kx0Hz8Tjueeew+LFb7pUMdKVfS/F3H7qqsalY9quBfkGE+KiA+Cv8sTtzDzczMgr4RWpXGpC4aEymRBbtGiBeCfVwUrDihUr8Nhjj2HHjh149NFHC73frl07/PXXXyU+rlKpxLJly5CUlIS8vDycOHECvXr1KvCZ7777zmHox7Bhw3D8+HFoNBpotVr8+uuvGDBgQInb4I646lkrLgyyXr16qFu3rqWSkFDWTpw4AYlEgrvvvhtAzbBulJSoADWaNaqHuWs+QnZ6GnYspL1mvNTFb9gqJphAL08E1onEQ0OextJly3H83EWcTtBAJpPiWlrxG+kKZU2t8HD62UGDBiEyMtKl9ogJT280Y8oLszFo8ksAgByj+26MaY+jybs4Ycc+lCcqQI17GoXg4e73ICwsrLKaXqnYX5O4xrGYMH4cvtm1BWqpAb/Fp+HUVQ0SUrUuKWu2C77MNwSPPTkaS5YshUZDHsqSeOjKgrj/TWPqYN6ytYi/eA5vL1+C7Dw9cvW1x5iUqNFi/+nr2H/megHLeknDIKMC1Li3SR2MmvgCjn13ELsP/GARBEU4cXnP+5yzVpDi1teYIDW8lBTq7krpfvtr+9xzz2HFihXF5jYzhenZrA76t41C5wZBlvuTbzAhOkANg5Hmm6ioKIs8rdfnY8TwYUhLTcGmHXvx2+WbAIAv9nyMy0mpLq/5rpTut91aqCgcRaOk5OiQkWvA6QT3rgRZEyjTqrho0SKsX78ehw4dKpfGXL58GX369HH6fmBgIFJTU8vlt5iSbYpdVBhk69atER8fD29vb8t3TCYTfv/9dzRt2tTyek2wbpSGmCA1vEOjMWf1dty6SZazusF+Ll8HEfc+YsJUqLx8MHHqTGTrDPBRyvFE26hijyMm7g71y/faiwl79swZ2HXoBIYOeqLcjl0V2Ao7jkKKRCjP0A4xyDeYqs2+MmXBXgBM1GjRbeDTyNNm4/iB3ZBJJcjM08Nsdk1wtl3wT8Vr0KDnCGjz8vDK64sBVJ6yZsvDD96HMZOmY/emt3Hz+jVk59ceZS0hVVuoxHpZFKA+jw1AaGRdfLT+LVxL0+LSrSwoPWUVUv2Pc9YKUtz6GhWgRpvYIACOq0HaznmOxmFUVBSmT59e/g2vBUQFqPFYm0i0qxuAhFQtEjVaeMqlOJuYDqOJomzuueceHD16FPn5+dDr9ZCF1Ef9u1rim327oM+n7adyszNx5KvPXF7zixofthvcuyKXOYpG6d4kFIAZcpm0VqyHVUmZZro1a9YgMDAQvXr1QsOGDdGzZ0/069evwOOxxx5z+Xj+/v5ISUlx+v758+drrAW7KnDFMimqeSYnJzsNg7THVllr27ZteTS1WiPK/Tdr3hpTl2yCX2Aw4po1KNH3uzQMRtdm0eg3dhpOH/0SF//4Hf53ypIXF2/uysRdGkS7wvyUiKpbr9qHx9gKO/YepeIKktRU7AXAhFQtfIPD0fuxQfhl/1a0jfRGqI8CEX4Kl/pXAeVPAhiV/mj38DBsXPcuvv3tAnLzDcjWVX6V3dETX0CzlnHQ5mTD38v9t10pL2KC1IgJVDvNOymp4maCFCMnTsPvP/wfzv91DlGB6gpL6ucwyMIUl7dWVOl+23mtKowmtQHba5xvMKFVlD9kUgligtTo378/MjIycOjQIZhMJmTozLir6yM4+8tRKPPTAQAqH3+c/GZXsb/jyppfUuO5o8+3jw1ElwbBiL6zZjIVR5lG49mzZ6HX6xETEwOj0YjLly/j3LlzhR6u8vDDD2PDhg1IT08v9N5ff/2FjRs3ol+/fmVpMmODK5ZJqVSK9PR06PV6p541R98BgDNnzrCydoeoADVCfBR4sHs3fPXreTx0L+XxlST5PipAjckTxqFObBPse+8NGIwmnE4oPt68opQ1QU1UXsSGocnZukIKmv17tQmhbM2aPRupt2/hz++/RJ+W4fBVyl3qX/aV0pqF+6LVwyMgkUqxbOkSmEwmZFWisiZyqm5k6zF5wSqo1Gqo1V6V9vtVjbD4PxYXWUAIK2kYpCAmSI1+/YcgOqYufv98i6WSXUUUGWFlrSCu5AcKZc1R6X5bQwp7LcuOoz5ve41tqzECQJYqHDGx9Sx1GbxUCoS3fwBmsxk/ff0JAOCRwaNw5e+z+Proz0X+dlFrfnmPxeqU3lJRxY4qgzKNxvj4eFy5cqXIx3///efy8V5//XUYjUa0aNECL7/8MiQSCbZu3YoRI0agffv2CA0NxSuvvFKWJjM2uLop9s2bFC9dUmUtNze3RilrZR3oYlKrG2wVBkuq6BjNEgyaMhe3//0Tp458iTYxAcVOlBWtrFWnydpVhHLtdSch3D4ExPa92oQo+ewRGIWHH30ce7a8i3BfRamEu6gANZqE+aBHqwbo9eQ4/PD5DmRnpiOgEjxbtsn1IqcqvG49rN1zCL2fHFvhv+/OiArApSEqQI377grH3Jfm4Kv9exGgT7Z4qq+laQts91BWOGetILbbjTibi0X0gyPPmq0hha9t2XG0tttXjLaN5MjVm3DPAw/js88+AwBEB/vgwbhGuKvD/fi/L/YCADo/+DBCwiKwavW7RcoiRa355W1crU7pLdXZsOxWppOIiAicOnUKvXv3xq5du2A2m7F9+3Z88cUXGDp0KH799VcEBwdXdTNrDK5uin3r1i0AKFEYpMDZpuPVkYoY6CVVdDzlUtRtcTfa3vcQvtq8HLnaHPx1I6PIakwVraxVp8m6JDjbn8b+vdrGqasanLqqQffBz+Dff//F4rUfQJOTVyrhLiZIDaWHDE8+NQE+Pr7I1WorJQzRNrleWLfb1Q1A40aN0LxeeIX/fk1nzJgxiIyMxMsLFmL/6eu4eCsLCRptge0eygp7fwriyr5ZRYVB2sJhkGWnJGuE+Ozggf2RlZUFALidY4TSU4ZHBw1Ffl4uAECpUuOxIaPww4HPkJyqcTqWilrza/PaVZ3PvVxG4/fff4/Zs2djyJAhGDJkCGbPno3vv/++VMcKDQ3Fpk2bkJaWhlu3biEpKQkajQbvv/++y54dxjWKm5ATNVpk6wy4eZOUtZJ61ho0aAB/f/8yt9NdKOtAL87S5gqiZO7/5i+CJi0VS5YsxTVNLrb/El+oopugopW1moqzeyPCIoUSV+u443Rp2Kw12nW+F9vWv4O0LNdL99sivJQSDxXuGUAercoo8OEoub6mGh3KQmm9KwqFAi+++CI+27Mbp879jew8AxqH+pR6g19HcBhkQVzpv0FBVGBEGGCdwcpa2SnJfCI+2++hbggIJjkrQ2dGiLcC44YNgJevPwDAS63Cwhefh9Ggx3df7XE6lopa82vzPFedz71MozE/Px8DBgxAjx49sHz5chw8eBAHDx7E8uXL0aNHDwwcOBB6fen3XgoJCUGdOnV40qggilvsElK1MEOK7OwsSKVSBAa6tpmluF81KQQSKPtA95RLcSUlG57y0vdnIWR2btMMM2bMwKFdm5CadA0qT5mlwp59eIQre64wrlOdQynKg3axVJ20XWwAXpgxE5f+Oos/Tx4rdf+KCVIjM0+PNr2HIDy2MdSBFe/ZqspFuzrkTZQ2DNKWsWPHIiAoBN98tA7eSrnLVedchZW1khMQEIDAwED8+++/AJz3RfZaVg1SqRStuz4IADBJpIgJUqN+HX90fJBqNaTkmhAeHo7HH38cX+3ahqspOUjUaAvdRzbQ1jzKdCdfffVV7Nu3DzNmzEBSUhLS0tKQlpaGmzdvYubMmdi7dy8WLlxYXm1lypnirGcxQWrIZfR+cHCwywO/piprZaU8NgUXOUMJqVqMenYqgoICcfXARnSuH2ypsGevSPDEXb5U51CK8kD0wVPxGnjVb4vmLVvhl59+KHX/EhvE+qhVeH37AYwdM6KcW+xeuLuyX5acNVtS88zo/PgYnDr8OfTpt8pdMWbvT2FcMQQ0aNAAly9fBuC8L/K1rTq6PUSbjzeLsho2pr7wAro/MRJN6kbi2OUUDBzxFC79cwG7Pv8Wp+I1Be5jokaLXy8nA+A1vyZRpju5Y8cOjB49GkuXLkWdOnUsr4eGhmLJkiUYNWoUtm/fXuZGMhVDcUnEUQFq+KlpE82ShKCysuaY8hLyxcScqpNiyZIl+OrzfchPPIcQbwUi/VWFfoOVtfKlOodSlAUhCJ6MT8OBc0k4dyMD19JyMegp2ui9LF4OsUGs0VR2JcHdqU7KflnuaUKqFm0fGghPtTfeX7uq3D2J7FkrjCuGgIYNG1o8a876IhcYKV9K4k1/avCjePWtDRjW70HLa/26xuHI3m0I8FLgbGI6/jBEok5MA/zw2XZAUvA+norX4MydTap5za85lOlOJiUloWPHjk7f79ixo6WSION+uFq6H3C9uAhAoRYKhYKVNTvKS8i3nZiHDRuGTp064aXZMxF/OxOnEzSFcqlYWWPKAyEInk6gCopKOYXpjB7xJGLqxsJgQpkqpWbm6cu1AEVJqazwxOqg7JeHZy0mSI22DcLRfeDTOHVwH07+eblcrzEra4VxxRBg61lz1hfZs1a+lMSbHhPkjVemjUNsiG+h9zzlUvwWnwad0Yx7HhuJc8cOIVSSWeA+6vJykZl2GwCv+TWJMt3JqKgofPfdd07f//777xEVFVWWn2AqEFc3xQZK5ll78MEH8d9//3HlzgrCdmKWSqV45513cPnCX/h05zbcytLh4F+3OH6dKXeEINgmJgDRgWo82SEGj8VFIjbEFxNmzUeH+3uWWtESoZBZufoy5XSWBXcPT6wsyisMUuzhtnLBbCiUKixfvgwHz98qt2vMylphXDEENGzYEDdu3IBW6/wecM5a+VJe3vR8gwl3xwZCKZfihYlj4efnh0+3by7wmcO7N2HVtKEAeM2vSZTpTo4ePRq7d+/Gs88+i4sXL8JoNMJkMuHixYuYOHEiPvnkE4wZM6acmsqUNyXxrJU0DDIiIqJMbWNc5+6778bgYSPxzda3kZedgZQcXQGB6N9bmQCA0wnpVdhKprojBMH2sYGFBMJRwwbjf68tK5MwUh45nWWhOoUnVhbloQw1jamDBwY9hePffIIrV6+V2zVm70/paNCgAQAUuQcuX9vypTyjalpF+WNi94boelcUxo0bh40bN+HQH/EW46wmLQ26XPqf72HNoUx38qWXXsKoUaOwYcMGNGvWDEqlEgqFAs2aNcP69esxatQovPTSS+XVVqacKYlnrSRhkEzlkqjR4u6Bk2Ay6HHkw3cgl0pw+poGnnIpEjVa/HYlFQDwR2JGFbeUqamUhzBS1cpSdQhPrK5Mm/o8PDw9ceGbbeV2jdmzVjoaNmwIAJa8NUewsuae2BZ32n/mOu7tNxzZOdnYseNDi3FWIbUau1Jz8quqqUw5Iy/Ll2UyGT744AO88MIL+Prrr5GQkAAAqFu3Lh5++GG0atWqXBrJVAwV5VljKpdTVzXQefjivmFTcHDzUrTq/hiiG7fC6QQN5DIpjCYjAKBNXde2XmCYqkDsdcZULeUVBmlL91b18MLM2Vjy+qv48fnncW/7sssGrKyVjjp16sDLy8uSt+YILjDiviSkavHn9Qyk5+Yj1FeJDt164+uP38eC2dMAAB4SE3z8/JGdmYFfr+Xifo2W59UaQJmUNUHr1q3RunXr8jgUU4mYTCbI5UV3gdLkrDGVjBnwVXmg++Mj8Pf3X+LTdxZg+BtUJUpnMMFf5QEA6FCfcwgZhime8lbWAODBAaOx8b11WPDKPBz+en+Zj8fKWumQSCRo0KCBU8/aL7/8ggMHDmDAgAGV3DLGFTzlUtzOyoPJbEZmrh6PjXgGc556At8fPogGbe9FerYWdRvdhXueWYA6kZFISGVlrSZQYmWtpN4yiUSCP/74o6Q/w1QCrix2pakGyVQu7WIDEOKjgKdciqwZr2HxxAH4+/An8Og9HBF+SsQEqACUT/4JwzC1h/KcMxpFBuHJZ2di9YLp+OLg92jT/m4kpGrhKZci32AqVMW2ODhUr/Q0bNjQqWetS5cuAACdoeZvo1EdyTeY0KVBMM4mpqN5pB+im9+Ddu3a4d01q/H6e12QnqVFoI8afTo0t5T1Z6o/JVbWAgMDXZrAb968iYsXL7KA6Ma4sthxGKR7k6jRIiFVaxF0wgb3woWfnsJXH6/FPT0fRf3QYKiD1SzUMBWKfT9kqjfl7VkT/aPbIwPw5Y6NeGXuHKz5aD/OXc/Ab/FpuDuWQrRL0nfYs1Z6GjRogE8//bTIz+RWUaEfpmiE8tUg1BvXNblIycnHqHETMfXZZ/DtzydxOyMHKg8p2sUG8FxcgyixslZUqX6AlLQlS5Zg/fr1kMlkGDlyZGnbxlQwXGCk+mNbblzk/Ly/ZiUaH/wKRz9Yiqc/3oUvfmELNFOx2PdDpvpSETlron/IpDJMnv0KZj4zFOd/OYRr3s3hIaO9o9rHliynlpW10tOwYUNcvXoVer0eHh4eBd6TSqUkGxh0VdQ6pihsc3vzDSnQ5hvR+t4+CAoJxS+ff4icXB0gUePAuST0aRnO83ENodwkuFu3buGFF15AgwYN8O677+LJJ5/EhQsX8P7775fXTzDljKsFRuRyOfz9/SunUUyJcFRBz8/PD2+vWoXvvv0S67fvwc+XbgMSaYVv9svUXqq6kiNTMZSXMiT6R7vYAEx/egj69u2L115+Eb2bBiDIyxON6/jgdIKmRHMUK2ulp0GDBjAajbh69Wqh98TeuCm3kiq7WUwJEeOqQbg/nhr3LH47uA+GrFR4eHrCR+VR6/eMrEmUWVm7efMmXnjhBdSvXx/vvvsuhgwZYlHSxH4ejHviqmctNDSUF0U3xb7ceKJGi2OXU3DPQ4/i7nu64d1Fc3A1KQUSiYQnbqbC4LL3TFHY9g+JRIJ33nkHycnJ+Grbu5jYvSECvUi4PBWvwbHLKS4pbZyzVnqEbOaoyIhQ1q5fv16pbWJKju24GvnUWEgkUiT+ewENw/0Rc6fMP1MzKPVMd/PmTUybNq2AJ+3ixYt4//33Ub9+/fJsI1NBuOpZ4xDI6oMIN7qWlou3Vq+BNlODMwc+glQq5YmbYZhiqYgwSHvq16+POXPmYMWKFci6eRV9WoYjJkANSGAJpy0O9qyVnqioKMhkMsTHxxd6LyIiAgCQnJxcya1iykI21Oj52CAAQKCPFxvPahglVtaSkpIwdepU1K9fH2vXrsXQoUNx8eJFbN68GfXq1auINjIVhNFoLFZZCwwMtGyiybg/MUFq5OgMSM7WQREQjvHTX0J2hgYechlP3AzDuERFK2sAMHv2bNStWxdPPTMe8cnZiAlSo13dAJfDaVlZKz1yuRzR0dEOlTWZTFb5DWLKTEyQGn2GjAUA5JvZ41zTKHGBkQYNGkCn0yEuLg4vvfQS6tWrB41GA41G4/Q7bdu2LVMjmYohJycHanXRi+KqVatgMnFVqOpCVIDa4l07naBB3yefxuEv9+H6Vcd76jAMwzijPJUh24qhAEUBLFrxDp58vC8+/mAjHho0BiE+CpcrirKyVjZiY2MdKmtCUW/Xrl0lt4gpC1EBasS1bIbRU2ajZRuWuWsaJVbW8vLyAACnT5/G4MGDi/ysmEyNRmPpWsdUKFqtFl5eXkV+pjhljnE/YoLUOBWvgVwmxY1MHaYtXgt90sWqbhbDMNWAigqDtK0YClC4Y3TzDhj9zARsfmsRWnS8D16NGuNUvMalbSA4Z61sxMbG4sKFC4VeN5lM6NKlC44cOVIFrWJKS6JGi+QsHZ4Y+zza1Q2o6uYw5UyJlbUtW7ZURDuYKiAnJ6dYZY2pfgjvmpdCjisp2agXGwt1Yy72w5Q/vL9azaQilLWYIHUhz1pMkBrvrlqBn44ewuoF0/HYSxsQ6u8FL4W82G0g2LNWNmJjY/HNN98Uet1sNsPb2xsKhaIKWsWUFrHmqz055aEmUmJlbfTo0RXRDqYKYGWt5iIEozYxAcg3mLi4CFMh8P5qNZvyVIZs94cSzxM1WvyRlIulq9/DwL4PIWz/B2jZdzTqh3jBX+2B/aevAxKgXd3CG/yyslY2YmNjcfPmTeTm5kKlUlled6XwGON+2BtDmJpFiZU1pubAylrNxV4wYpiKgAUEpiwIZT+sURyemjwdW9auQpO4u3E70g9pOfk4fyMT/moPhHgrWFkrZ2JjYwEAV69eRdOmTS2vu7KlD+N+8Jpfs2HzSS3FaDQiLy+PlTWGYUoN769W86jI0v1iH0ixj5rtZurr33oTd3fshF1LZwG6bKRm65CXb8Bf1zOQkasvdCzOWSsbQlmzLzLCSjDDuB8809VStFpaLFlZYxiGYWypKGXNvsiIUPYB4ER8Ol5ZsQ6G/DysfXUGAr08IZVJ0LCOj8NNslmpKBuRkZGQy+UOlTVWghnGveARWUvJyckBwMoawzAM45jyVoZsPWmCRI0WB84lIUGjxQ29GrMWvYMzPx/Gr599gLioAEQHqNAmpnB1O1bWyoazvdY4DJJh3A9W1mopQlmLTzc4tFoyDMMwtY+KFNQdhc0mpGrhq/RAVq4ebWIC8ECvPhg14TlsfmsRFLf/xLj7GiDMT1kgfBJgZa08cLTXGl9XhnE/uMBILUUoa/BQciU3hmEYxkJFhUE6QnjZbLd/6PjuW4j/5zwmjh0Nr5DD+CdHhdQcHYK8FRjaIQZRAWrOWSsHYmNjcf78+QKvsbJWfeCtU2oPPNPVUoSy5u/jxZXcGIZhGAtCWasMod2Rty0pU4cnpi+B0ssHU54ahuzsbFxJzsGV5BycitcAAPRGE5Iy8jgypAw486yxElw9sM8BZWouPCJrKfE3UwEA9SOC2CLDMAzDAKgcBa0oRA6bwtsPz762DqlJ13B4w0I0DvNBZIAKuNO8fIMRBpOZBdUyEBsbi1u3blkKjgGcs1adcJQDytRMOAyylpJwOx0AoNHxpMwwDMNYqcwwSHtOxWtwO1MHT7kU4x7vhla+WzFw4EAER9dHy35jkZaTj0SNFnKpBB4yFlTLgu1ea3fddRcADoOsTvDearUH9qzVUrxkBgBAo8jgKm4JwzAM405UpbIGCeCr8kCwjwIJqVp07NEH41+Yg/3vv43vvtyLG5pcJKRqIYUZ0UFeLKyWAUd7rXEYJMO4HzwiaylKsLLGMAzDOKcqPCzt6gagXd0ABHp5QptvxKl4DfqMmIRW3fvh2AeLcPrkL/CUS6E3mnA9PZdz1sqAo73WOAySYdwPVtZqKTk5OVCqVPj1vzRe7BiGYRgAVZ+zJgqOtKsbALWnDJAA3koPzHtzFWKbtcHXK2fgtz/+gsFggsEEzlkrAzKZrNBeaxwGyTDuBytrtZScnBwolWquJMQwDMMUoErDIO9gr7R1alQHr769GT7+gZg/eSRS01KQrTNyzloZiYmJwbVr1yzPWVljGPeDlbVaSk5ODry9vbiSEMMwDFOAyizdXxy2pf27ta6P1Vt2QZudCZ02B/n5Os5ZKyMxMTFISEiwPOecNYZxP3hE1lJycnLg6+NdaH8bhmEYpvbiDgqaM6IC1OjStjmmvrkRABAR6F3FLar+2CtrnLPGMO4Hl+6vpeTk5MDLy6uqm8EwDMO4Ge4QBumMhFQtWrW9G2/s/A4Duzav6uZUe2JiYnD9+nUYDAbI5XIOg2QYN4Q9a7UUVtYYhmEYR7izshYTpEZmnh716tdDcm5Vt6b6ExMTA5PJhBs3bgDgMEiGcUfYs1YLSdRoce22BgpPZVU3hWEYhnEjbL0q7uhhiQpQo0/LcCSkajnfuhyIjo4GAJz86x8k5quRl29wy/vOMLUZNp/UQhJStcjJyYFZ5lnVTWEYhmEYl0nUaC2KGudblx2hrJ278B+0+Ubk6Y2srDGMm8HKWi0kJkgNvS4PQf6+Vd0UhmEYxs1w5zDIhFQtbzlTjvj6+sLf3x+6jFtQe8rgKZNwGCTDuBk8ImshUQFqGPNzYZR58obYDMMwTAHcqXS/PTFBat5yppyJiYlBRvJNdGkYDLnUPe87w9RmOGetlpKZlQ25pwoJqVoOJWEYhmEAuL+gHhXA4Y/ljW35fq4GyTDuB3vWail6XS58vL3ZOskwDMMUwJ3DIJnyh5U1hnFvWFmrpeRqtbgrJoQtlAzDMEwBWFmrXURHRxdQ1jhnjWHci1oxInU6HV588UVERERApVKhY8eOOHjwoMvf37VrFzp37gwvLy/4+/ujS5cuOHLkSAW2uGIxm828zxrDMAxTiMoq3Z+o0eLY5RTOm3YDYmJikJ6ejqysLJhMJvasMYybUSuUtTFjxmDlypUYPnw43n77bchkMjz88MP46aefiv3uggULMHToUERHR2PlypV4/fXX0apVK1y/fr0SWl4x6HQ6mEwmVtYYhmGYKoGrOroPMTExAIBr165xGCTDuCE1vsDIiRMnsHPnTixbtgwzZ84EAIwaNQotWrTA7NmzcezYMaff/fXXX7Fw4UKsWLECL7zwQmU1ucK5dD0ZAJBnrvG3n2EYhikhlREGGROk5o2t3QShrCUkJHAYJMO4ITV+RO7ZswcymQzjx4+3vKZUKjF27Fj88ssvuHbtmtPvrlq1CmFhYZg6dSrMZjOys7Mro8kVzqXrqQCAbKOsilvCMAzDuBMSiaRSSvdHBajRpWEw5027AREREZBKpUhISOAwSIZxQ2q8snb69Gk0btwYvr4FN4Du0KEDAODMmTNOv3v48GHcfffdeOeddxASEgIfHx+Eh4djzZo1FdnkCifA0wQAqBsWWMUtYRiGYRimKpHL5YiMjLR41lhZYxj3osbHwSUlJSE8PLzQ6+K1GzduOPyeRqNBSkoKfv75Zxw5cgTz589HTEwMtmzZgueeew4eHh6YMGGCw+/qdDrodDrL84yMDABAZmZmWU+nXJDqsgAAId4Kt2kTwzAMU/UYjUYYjUYAQFZWVoWsEdc1WiSm5SIqUIVI9qy5BREREbh8+TIMBgPy8/NZNmCYCkaMMZfCzs01nPr165v79OlT6PV///3XDMD81ltvOfxeQkKCGYAZgHnnzp2W141Go7lZs2bmqKgop785f/58y3f5wQ9+8IMf/OAHP/jBD37ww/5x7dq1YnWZGu9ZU6lUBbxcgry8PMv7zr4HAB4eHhg4cKDldalUiiFDhmD+/PlISEiwJObaMmfOHEyfPt3y3GQyIS0tDUFBQeUSXpCZmYno6Ghcu3atUHgnU/Xw/XFf+N64N3x/3Bu+P+4L3xv3hu+Pe1MV98dsNiMrKwsRERHFfrbGK2vh4eEOy+wnJSUBgNOLFBgYCKVSCX9/f8hkBQtxhIaGAqBQSUfKmkKhgEKhKPCav79/aZpfJL6+vjzo3Ri+P+4L3xv3hu+Pe8P3x33he+Pe8P1xbyr7/vj5+bn0uRpfYCQuLg7//PNPofjr48ePW953hFQqRVxcHJKTk5Gfn1/gPZHnFhISUv4NZhiGYRiGYRiGQS1Q1gYOHAij0YgNGzZYXtPpdNiyZQs6duyI6OhoALS/yIULFwp8d8iQITAajdi6davltby8PHz00Udo1qyZS65LhmEYhmEYhmGY0lDjwyA7duyIQYMGYc6cObh9+zYaNmyIrVu3Ij4+Hps3b7Z8btSoUfj+++8LVGWZMGECNm3ahMmTJ+Off/5BTEwMtm/fjqtXr+KLL76oitMBQGGW8+fPLxRqybgHfH/cF7437g3fH/eG74/7wvfGveH74964+/2RmM2u1Iys3uTl5WHevHn48MMPodFo0KpVK7z22mvo1auX5TPdunUrpKwBwO3btzF79mx88cUXyMnJQVxcHF599dUC32UYhmEYhmEYhilvaoWyxjAMwzAMwzAMU92o8TlrDMMwDMMwDMMw1RFW1hiGYRiGYRiGYdwQVtYYhmEYhmEYhmHcEFbWGIZhGIZhGIZh3BBW1hiGYRiGYRiGYdwQVtYYhmEYhmEYhmHcEFbWGIZhGIZhGIZh3BBW1hiGYRiGYRiGYdwQVtYYhmEYhmEYhmHcEFbWGIZhGIZhGIZh3BBW1hiGYRiGYRiGYdwQVtYYhmEYhmEYhmHcEFbWGIZhGIZhGIZh3BBW1hiGYRiGYRiGYdwQVtYYhmEYhmEYhmHcEFbWGIZhGIZhGIZh3BBW1hiGYRiGYRiGYdwQVtYYhmEYhmEYhmHcEFbWGIZhGIZhGIZh3BBW1hiGYRiGYRiGYdwQVtYYhmEYhmEYhmHcEFbWGIZhGIZhGIZh3BBW1hiGYRiGYRiGYdwQeVU3oDZgMplw48YN+Pj4QCKRVHVzGIZhGIZhGIapIsxmM7KyshAREQGptGjfGStrlcCNGzcQHR1d1c1gGIZhGIZhGMZNuHbtGqKioor8DCtrlYCPjw8AuiG+vr5V3BqGYRiGYRiGYaqKzMxMREdHW3SEoqjxylp2djaWLVuG48eP48SJE9BoNNiyZQvGjBnj0vfT09Mxe/Zs7Nu3D1qtFh06dMCKFSvQtm1bl9sgQh99fX1ZWWMYhmEYhmEYxqX0qBpfYCQlJQULFy7E33//jdatW5fouyaTCX379sWOHTswZcoULF26FLdv30a3bt1w6dKlCmoxwzAMwzAMwzBMLfCshYeHIykpCWFhYTh58iTuvvtul7+7Z88eHDt2DJ988gkGDhwIABg8eDAaN26M+fPnY8eOHRXVbIZhGIZhGIZhajk13rOmUCgQFhZWqu/u2bMHderUQf/+/S2vhYSEYPDgwdi/fz90Ol15NZNhGIZhGIZhGKYANd6zVhZOnz6Ntm3bFiqp2aFDB2zYsAH//PMPWrZsWeh7Op2ugCKXmZlZ4W0tFf/9B/TtC6Sk0HOzufBnpFLgnXeAHj3o+XffAVOmFP7sE08AGzYAx44BAwYAAwcCq1c7/l2TCcjNBV55BdixA9Dry+2USoREAjz0ELVDVOKRyQCFgt5jXGfaNOCjj+j/Xr2Ad98F/PwKfubVV4E1a6hPjRgBzJ0LPPMM8MMPdN2HDweWLgXkd6alvXuBiROpvwBAy5bAsmVAu3bl3/78fOqHZjP1TWdjITCQ/tqydy8waRL9L5fTQyYDlErqV1FRQHQ0PaKigJgYIDwc8PSk75Skr4nPSiQF/z9/HnjkEcBgADw8rI+QEODGDcB2DmrTBli/HqhXz/XfLY5r14B77wVycoCmTYGPP7aOqZKwfz/w99/AoUPAH39YX+/eHXj7bbpujsjNpX5iNAJ5eTSG5XbLm1QKqFRF//6mTcCcOXT/xfUV/0dHU7994gkgNJSOp1AA48cDn39Oz2Uy6/1v2xaYPx+oX9/6+0ql8/ut0wHt2wM3b9L3pVJ6SCTW/8VDLgeaNaN7/tBDgL8/HcNgoOMIJBI6Zw8Pamtt4sUXgeRkuk6tWgENG9J9UyjoeriK7ZygVNK9ERw5QvOWwWD9LFBwbArs73ufPsDy5XTv7PuqM374AfjzT+t8Y49OR/PjrVv0fPhwYOXKwnNWacjNpWMnJ9Pzdu1o7lOry35sQVYWjQGNxnH/b9sWePJJ6vdeXq4dMzMTuPtuID3dehzb8SX+t33tnnuAl18GIiPL79wqm1GjgAMHaO7cuLHwelxepKYCHTpYr/OiRbTGCJ59Fvj0U8f3035us30ul9P1r1fP+oiNpb+BgbVORmNlrQiSkpJw3333FXo9/I7AcOPGDYfK2uLFi/Hqq69WePvKzN69wIULJJzk5dFC4+lZcDFauZIEwfvuI0Fo9WpamCZNAry96TOffw78+iv9v20bCRvHjxf+PaGk5eQAW7fSsYcMcS6AVTS5ucAnn9BEMno0MHYs4OtLE0FoaNW0qbpy/DhNpA8/TEL1zz+TwN6pk/UzP/4IBAfThL56NfDNN8C//9LCGB1Nr504QX0oIoL6lMkEzJhBf3fsoO8OHw689hr9XnmRnEwCAkBCgDPBNjPTKhgLzpwBtFpaHI1Gq9KQm0tj4ZdfaKylp1u/I5WSIhUeXvAREUH9T62mdoi/QpizV9LE3/37gaQk4PnnaRybTPS4ehU4exZ47DESWo1GWrjbtQN27wYefLB8rl98PP3W008D334LdOsGHD1K97Uk7N5N9xmgMdm0KV3bDRtIWV+/noxBtphMdJ1zcui5nx/dS3EvxHUSi7+Ytxxx8iTNf08+SddeqQQyMui9f/+luXL2bKBLF+Dxx4FHHwW+/hpo3BiIi6PfE0rhp58CrVsD/frRfBkTQ/0/ONjxb6ekkCD+2GP0WdF+MS+bzdbXcnKA33+nfiWXk4DbowfQsye1xfba3L5tNRy4qrCZzcDmzaQIxsS49h13Y/VqGjsffmg1CHp4AHXq0D3w8aH53teX7pdSWfivUknXNz8fCAoiQbFJE/qOXA789BON81mzaHzr9dTfbJU2oQQIQ05uLs0j27fT3LBxI9C5c2EF8vx5us+2qRtbtgAffEBKzYsvFj7n1FTgr7+Ap56ieeStt+izGzeWXWFLSSFDysCB1Cfeew+YMIHma1vBWastvQJ3/Trwzz80/iIiCgrxBgMpq2Js9utHY7BnTzpXZ8TH0zEnTQLCwqxzo+1cbfuaTkdywQcfAM89R0pbdSwM98svtKZ8+SXwwAPAzp20ZjozDJw/T3KPs/nJGdeukeF/3Di6P0KhXrSIDFWHDgEtWtB9EtfZdo2y/d/2uU4HJCaSLPHhh9SPBT4+BZW3evXot5o3p9fKwzjhZrCyVgS5ublQOFjclEql5X1HzJkzB9OnT7c8F+U53Y78fBqYTz9NA8PDg4QrW+vzunUk3EREkDD47780WU+aRK8BJAwcOED///Yb/TUa6a/ZTAtYfj4tPGlp9Pk33iChZMWKirGQGAz0MJutg1/8D1gX0cmTSShZvx7Ytw+YOpXaZTZbF3GmePR6sqbNnw+MHEmPe+8FXn+dBBmplASUFi1I0Ro+nCxuOh0wbBjQuzc9Jk0iw8CaNST8R0WRQCCX073Zto08dLt3k9dtxoySKwSOMBpJkJVKqa+Ehxfsl0YjWauFl88WnY6EhZkz6X+9nvqWp2dB44dWS8KI7SMxkf7+9Rd5wISF3h5hcZTJrH0XsC5wej0tUpMmUVtF3xft8PYmwVWlos88+SR5QJcvJ69oWcegaPeTT9L8MGECKWzffVey+2M0ksDg709zhJhjnnuOjjlwIPWt1autlmIxvtVqmmekUnpPGIZ8fek6pKfTgl+UspafT/d+9GgS1AMCSEhVKunevvIK8NlnpKDNmAHMm0f3deJE6tMKBSmKgYH03nvvkbf466+BoUPJkxwXR8KGPVot/X38cVKSBBoNjQNxvvn5JIB6epKR4euvSUFeuhRYsgS4/35gzBg6jlxOx83MpHN3VVn7+28SvkJCyLDWp49r33MXhGFwwQLywiQlAQkJNNauXaNrmp1N/SM11bpG6XRkuMzLo+/n5RWO/JBKSeGrV4/WssaNgenT6Z74+BQUFI1G+r5Yj8T84eVFfXn8eFI6tm6ldtoaSl98EfjqK5ov58yh42ZkUF/83/+oj40bV7BteXn0d8QIUt5bt6a+rFBQtIOr41yvp/5iqwTl59PfXr3IwBYeTnN7p040pwiFKiKCfnPVqsK/d+AAGUxatXL8u0KmevRR8taIuUwwbhzNkwcO0LXZuZOuy91305h54AEyXHh6WpU8ETk0bRrQqJFr579kCckmy5eT8ejdd0kuqE4YDHRvXn+d7kefPsD779O1t++nAF07vZ6MrcOGud5XRL945BGaE/fupWM0bUrzUFISGcKnTrVGHdj2c1cwm0l2vHKFxtmVK9bHN9/QayKiwNublLaWLa2PuDiay6sxrKwVgUqlcpiXlndnQlQ5EeQVCoVDJc/tMBppwIoJPiiosHIik1kVL62WBl7jxtYJVFilcnNp4Jw9S8fU6WhSFQugrWVz2TI67uuvuzYh2Fu/7K0wQEElTChl4lxsJwgxQRkM1DalkhaARx4hAfDll8niOWMGKRt+fvQoz1APd8RsputR2n6r19N9vnmT7vGRI8DChSRkHD5MSlZGhlVQbtmSPLKffUZeCo2GFudvvqGJfehQEhTr1qV+BND969WLLHRbttAC+u67pCBMm1a28EhbD4yt90og+o2j8Mj8fDpnHx8SYPLyaKxotSQQGo10PGEMqVfPsXXTaCThT6MhITI72ypQ6vXW/m7rcRH9WiKhRdi+nxqN1L7UVKvS4edHC+qrr5KQ+fffwNq1rodiOULMEVIpzQ+bNtG4KqnCZjCQZVYYfwQhIeSp2raNFLcjRyg8+4kn6H2z2XqPZDISpvV6UrCzs+mclUr6X693HgYnwki9ven+ifA3hcKqsD3xBJ1bQgL13x9+oGufn0/33suL7mFmJgnkPXpQ29euBfbsoe/OnUvnZItQ1u4YAy3YhmQCJIiqVPT5yEjy6A4fTnPzwYP0GDWKPtOvH3m7mzSh9tiG8ebnW0Nx7RH308eHvj9lCgmvtp/X6+l8XdgjqEIQc5YIPbVFCP1KJX0mLIyMGfZhqGIdyM+n43l40Ge8vemee3rSvHXpEvWlzEy6zlev0nqXkUHKcUqKdT21xV4wFYYFmYwEyq++ImPpkCFkMBw50nqMjAwyXLz8MnlJtm0jgfWxx6jvTJhARo1Bg6zHF2u56EMjR1KfHTeOzmflStfW3HXrSEm8dMkaSSCEcoWCxtOgQWScnT6dvBr330+fycigsenlRQYXW4YNIyVw5kwy7NnLG2IMeHs7XnMNBloTxo2j63b9Onk3f/qJvIivvUbnHhdHStvdd9OcKq7nf/8VDH/08LB6POVyut9yORl4Xn2VfmPSJDJ8jBxJY7goY487YTDQuTRtSvPUqFEUlbB6NSlxgYF0LqI/aDQ0TkaMICX4vfdcCwMVMrIYP4MH05yxdSt5dLVautZXrlhlMbmcPiuut32Yt21IpFiPg4Lo0b594TaYTCQn/PkncO4cPU6epDEj+m1sLBmU27YF+ven61KNPHCsrBWBqCRpj3gtQlh9qysGg9Ua5uPjOKZZJrNaA//7j/7Wq2cVhHJyaGHU6ymEzWCgiTI7mwa/pydNnmJBP3SIFqi1a61WO7PZank0Gq0PoKBHQQxikY8iBrn4nERiVeKkUrKkiMFe1DXQ6WiSEhalZcvI4tm9OykBjRvTtfH3L39P25UrFG4xc2bFCj22wr0jcnJoUQsIoPPMz6dJ1t/ftcVdhP+kp1uFwEWLSFAdOZIsvLdvk/UzPZ0mXS8vUsqio6m/JCfT7332GVls9+2jiVVYxAwGq5V66FASWvbvp0Xhww/JazdyJAmuERGuWwaFACUUfUffs81fcnTuHh70GYXCKswIq7oQBrVaeq7V0nvit2xDpUQ/cxbu6KxdjhRMgI6rUtHDbCZh7tYtGjsvvEB5PJMm0Wsff1x6o4QYr56e1JeEwvbMM9aQSFfC6YSAYTKRUBwUZBU8JRKyEHfrRsrDgAGUc7tqlfX7QmmTSKgtgYEkHBoMVq9Xbq5zZU2vp99XqWheyMwkgUYofELASEmhefCFF+iRlmYNlUpLoz4rFOWQEFIwR4wgj/HatWStnz/f6jUGrIKq/Rwj5kBbfHxI+BSGKYmEFNQBA8jQlJ5O93PHDmDXLmpbr14ksHXqRM9v37aG3Noj+vkrr5BS+tprwOnT5NEW615OjnWOrwrj5Pz5dO/79yerfVycdQyIkFilktrm40P3Mz294DgV64habY0Cycuj+y76kIeHNUw5O9s6ngBruJa4F6mpVoXPkSJs6xUHaKzv2EH94+mn6TjPPUefy8khJeGxx6jvtG1LvxUZCbz5Jl374cOpXwpPrL2yBtAY1OlozCiVpEAVNzempVEfX7aM5nHAKvRKpfS/0UiK5Pnz1I8/+cR6br16AYsX0+/Nm2edW7OyqP+tWkWGi3XryPgmEGNAKqV7ZT/f2itVd91Fj3HjqE3nzlFI/okTlEO9Zo31u76+VlnDUeidVGrN7fT2prZHR1MY4Ycfkvf8xAkaA448g2LuchcMBuqncjnNozt3Uh8YM4bua48eNC4CAuicdTq6VyEhFPXSrBl5Fp95puj+IvqF+C2zmX5v5kzq0/v3k4FLrbZ6SoXcJdZB23XXVkmzVdYc5e6KB0B9ol07eoh+o9cDly+TEnf2LPWPN94ghfXsWZozqwnVR62sAuLi4vD777/DZBf6dPz4cajVajS2zQ2ojoiQIYmEFm1HE41UahXELl6kzzZoQJNuWhpNdD4+9JnLl2mya9OGBktAAAnkQjAyGMib1qULTRTp6XSMjAyrdUalooEeGUnCnYhJto1NjokhgUHEVwcH03cCA+l/8brwOBSFXE5tDAoii13v3jSprVxJ59O/Py1Wly+T0HLrVsEE/rLy2Wfkgbr7bppQKgqNhkLuxMRqj9lsDdO7eZOEldu3CxamKAqDwVpUw9+fhJa0NMqJ+uMPEqQAWgQDAqwLsRCIgoIo1EsmI4Hj7bfpMW4cCUgiH8TDw5pXGBlJSvXhw7ToR0SQ8BAbS17RRYvomubkWC3nzs7d9j1n1jaxwNuj09E52Pc1cT18fak/2vdn0Y9DQmgMKRRWYUd40ITCJzyXtg8RqiXC/bKy6D5rNHTtNRp6LTfX6t1TqayLs0ZD1vDt28mI0rMnfa80iDlC5Njl5pIiuHkzvdetG42f4hACj8j5E3mEttStS17Zffuob7VqRfdfpyu46O/eTaFkUildB4mEjm2b+2CP6GMeHlbLu5hHbL0vvr7ULwUSCZ13nTrUx3NyCioBBgNd93nzKHezQwcSnFq0IC+nGH8A3SO9nsafVuvYgODlRX1LCOfie0KoqVuXQuXOngVOnSLv808/UXhZy5aUd3fqlNUD5QyJhAStzz8nL0u7dpSjCdB1yckpmItZmdy4Qfd2/35q10MPkSHQbLYqayoVfSY0lMZc3bo01wC07ggvtjA2iZDhwECaxzw8aA40mUhwj4yk42s09B2RnyhCjCMirIphWppra4VSSV6MJ58kpfOtt6zn4OVF4WunTlG7b96kNl6/TgL3Qw/RGnXqFB1L/J698jx5MnlG33zTqnwVhRjPq1bRbwLWtcPX1zqv+PhQ+G1GBin2ovjI8OH0m/Pn0+u3btGaYDSSAH/2LM33ov1XrtD3RH8U67ttPq8YW+I8xf3TaKgP5uWRB3nMGJoPTpyg8OBFi6yKo/BKe3lZDdQBAXS/RR5iXh4ZikS4XWoqGUF++42O0bEjecpt+egjauPPPxd/bSsLo5HOJyaG+m54OOX+dutGuc07dtAcdvUq5fSJ73TpQv1pwABaX3v2tN4fR9j2uYwMun5iLZJIyNggDCVirJnN1Dalku6FMFIGBND/YjyJ+RewzqN5edb1Lj2d7o+IHElOpkdKCr2WmUn95sEHyYi1dSsZDufNqz4e0ju4kRmgaklKSkJGRgYaNGgAjzvKxcCBA7Fnzx7s3bvXss9aSkoKPvnkEzz66KPVI9SxKMQC5e3tvOPahkFevmwVMJOTrZ44Dw+ayM+cIWuMSmX9ji07dtAxliyxWnuEhUyEI1RlhR+JxBry+PTTZLXftIkW0s8+o8Vn8GBrOJGfX9ktadnZ1vjxDh2soTDliUZDSujYsfQ3LKxwqFVyMi1QTZrQJOflRYLi7dvWELCiEB4JkSvg5WX14NSpQ2Fte/aQoiIsl2lpBT133t7UD5KTaRJ+9FH6rPicTmf1SkmlVou+jw+Fe/XrR5/97DNapBcsIOWteXPyknbrRtdYFOwQD2H1lcms3mZnFBUG6UpIhQiLKmruEMqjfYiv/W87et82UV4oPGJxE4qQSmXNp8vPJ+F92zarN/nw4ZInmYuwaJmM7pUQnurVK+hh++67oj1sQunX6eh/sbjbe8IkEvI6PPggCYPvvEMepBkzyAsBkNFl3z7giy9IoGzfnvqxUN4deT5EPxZFJoTHTOSuiQp0AQEkxNoeR3hNAgNJMRVel9xca4SCKPSxfj0Jk2++SUJR16507QGaf0S0A2BVOGzx8KDrfPOm1cvj42NVSm1p25bGwfjxJJjt3UvC5dtvU/jaqFHkqbY1Poo+JYTb+vXJw/D006Tgf/651SiXnl41+b0mE81Xa9eSALZxI4WzN21KcwdA19s27E2sdcHBVmNHdrZVwBSRGyLXVJy/+L4wQApjiFg/hWdeRHMI75wQUEWxGmfIZNRHZTLqw3o9tUv0t9hYMqgsXEi5RTIZzdMrV9J60bcvhUoK5d3WkCCYPp365aJF1B+KwmAgZUmvJwPrmjVWZc3Tk/padjb19TZtyPM6dapVjggMJEOJMNDK5dZiRlotfX//fpqr584l79iMGdbKqeIeOUJ4QEUkjvir1xd8LpHQ8erVK1jR0zZ9QmBbAEattuYu63S0jkkk9PrXX1O0zcCBJMfMmkXvXb5M88ODD5KcI8KzqxKj0Rpy6OdH1zwoiOaeRYvocfEizUFCyc7LI0OAQkFhoH370vmKXPOpUwtH59j2C6mU5AuFonDqiq1XTeRv2nqz7WVG29QV2//LKiN6eVU7RQ2oJcramjVrkJ6ejht3cl+++OILJCYmAgCee+45+Pn5Yc6cOdi6dSuuXLmC2DtV5gYOHIhOnTrhqaeewvnz5xEcHIy1a9fCaDRWj2qPxSEGswjvcYStsnbpEg1a20VZhA/o9VSdrH17qycgLY0mOJ2OJvZly2gRrVuXJo6SCoSVhYcHXRNfX7IMjhplTTj+8EOaoIVnMDCQzqW0SptY8DZvppCDUaPI6rhkSfnFUycmUvz2H3/QPXjkEbKy2YY/zZtHnogXXqCwOJ2Ozl8sVpGRRZ+jELLFRKpQWKv0yWTW3Jdbt2hS9/Wl79ifo0JBxgClkhYQYVAICKB+ZxtSmJNjtXqL8LSAABIoRUjR0aOUB7d1Kwkc/v6UHN+1Kz1CQ61Kmm3FRWc48qwJZa28DA3OQhpLi8lkzR3NzLTmwwmFJCCAvFNbtpBC37075YTZ51QVhZgjZDJrFUuRsxobS8d++mlrSGTduo6PIxQzjcaaC5uR4Xyu8PYmYaNfP1Lapk+nfrxmDQlPPXpYi9iMH0/epvx8Oq4zZU0o3n5+9NtSKfVf4RmQSKj/iqIzIkzX1ujg40PX2WSizwYFWfurRkPvd+xIitOBAzTeX3uNvi/mV+EhMxgct9Xb2+qFFEq4SuW4SI0QQFu3piILb75Jv3vgAM1rCxaQd2rYMMqfEsKsyDHJz6fz3LSJrmGvXjRnxcXR72s0RW9LUBGIsejpSflTQ4cC339PfW3lSnrPz4+uib2AKfqpiKoQ40MobyLXVCajPmGraHl6Wr08qalWz6K4xoC1kqSfn1VpE+uhmC8chbsuXkzv/e9/9FwYXFQqmhufecbqdfPxoXlw7Vq6Z336WJUwnc7qmbOlRQsSjEWqgDOMRmr72LF0zOnTrUK5hwfNm8JTHRJCysnp0xTSD1DbZDJaV/LySPAX3/f2pv4iSr4fOEB9acUKa98tSvEXHlBn+ZaA88Ji9uGPtgWaRDqHUOqEQdDPzxpCnp1N5xIWRsroP/+Q8pOZSYphu3ZkfFmzpvD2CsuXkxHx3XcLGkYqCrEmC8Q85u1NHtPWrWm9/+cfa78JCaGHwUB9q0kTMoK9+y4p0x9/TP83b24NIxaeNTFvumLcBQreI9v0F9uqnPn51vQHRwqdozw325BJ2+dV6QgoB2qFsrZ8+XJcvXrV8nzv3r3Yu3cvAGDEiBHwc7L/hEwmw9dff41Zs2bhnXfeQW5uLu6++2588MEHaNKkSaW0vUIRAmpR+5XYKmvnz5NnSSqlQSaS9SUSa4GRadNIOQCsFmJ/f7LEZmTQpBASUj2qLIrQphYtyGr77LMkEE6bRt6I558ngUutpnP08Sl6AXFEdjZ9PzCQBKhGjcjCevEiTYyu7iVTFGIBbNKEFt2MDBJswsKs1vvUVPp/5UpSbt56i6ydCoU11EAs0I4QFRBtER5WobAZjTShq9V03Dp1HIdlSqUknCsU5NkTCflinyoRWigsn2IRFR4khYJ+28+PvC+PP07X4PffSQk5epTCpURRjnvvpQqUHTsWLFThCGeeNUdhkO6C7XXz87NeLyFAirCguLjCeWaubmFhW2AEoGOGh5O3Vq8nZf+DDyhESXjYHClsQoHPyLBas9PSrDkkjjCbadxs2EDC+qpV1opwkyfTeHrtNbLwHz9OfVyUbLe/Z3q9dZ9F4Q0xmazXKCvLqpQEBlJ/EyF34lhSqdW7BlA7hGIQEEDnk5pKr6vVZMTo2ZPG+7lz1nw3EQLkLM9U5F1lZ9M8Lvq9o7lV5F4J4cdoJKPFvfeSoHz4MFWKmzOHck2mTbP+hk5Hc0NaGp375s30uVGjSLl48knqS97elVviXHjY/f3pvsjl5PW7914yLJ49S/1CrS56bNrmsPn60voklDdRKMh+XhceNZWKBPXUVMf3SaGg4wmlTewfZjRaPZK2841EQt4zmYzWHICMHqIwjAjD9fKi44kKths2kMI2ZQp9x2AgY5f9vnDCoy+KaxV1bWUyyp97+20yWgqPtVA0w8OtRqo6dahPnD1L86wwBEokNO60WmuxERHyJn4nP5/W1j59aGxeu1byaoH22ArsJUEoBqJYUHa21WAjQrz1elLEQkJIcbt50+q12rmT1tjJk0kOWrTI2vd++om8o3FxtNZPmVKxBS6EEcceEQ4/aRK1ZeBA2urB9hrI5XROIp1lyRIKZ5w1i+bv2bMp1FXk7wLWNdDVddD2HhVlCLbfZsH2f1tPnX0uom2Eir3CXp7G1UqiAnuK+xAfHw+z2ezwIbxoH3zwQYHngoCAAGzatAkpKSnIycnBd999h/aOqtFUR2zzjJwhhOycHIrhbtbMWtlOLqeQnrAwa6Jot240oRmN9HrdurTQvPMODe6776b46aqqIFZalEoSbr7+muLV5XLKpxo1iqrB3bhBIUbJycXngTz3HCm9p09brZ8iLGDSJLLKHT5Mv3ftWtnbLgTp//2P2jt/PlkDr1+35qTl5JCy8sUXtFCJhVOvp3uVkkJeBJFX4+g3HIWxenvTud28aQ3REQuxWOCc4eND/SsoyLHnV+SLBARQn4qNpb9yubVMu7C+y+Vkxf3f/8i6+fvvZMmNiaGcrcGDrZbGTz+1birrCvn5VR/CWxKUSmsOndh3SHiy2rcnL2RyMimwrl4H0cdsr4NaTQKdSDqvU8danctZGJYQFMT9Ft7UovLMBGo13eMffqCcleBgCtGSy0mo+uor6of9+5NBwlGomAiDFAK8bR6Yn5813E2EPAYEWHPZbO+/CLXR6QoKIsIrIXKfRO6mhweNzXnz6FyFsFwUEgmNEVsPtaMQZ8Aabi7y+nJz6fs6Hf0dOJA8NKdPU/suXqTvyeUFc7OEl23zZlLS5syh8Ei53OoJryzEvZBKadzLZNZ+3LQpeVsdKVrFIYwbfn7Uf+vVc+5lFn0gOrpow4anJ/XHunXpmGINFOHCtkgkNEdv3EhGNbOZ5mqRvymR0G9FRFgV1ogI6vPC+BUcTHO7fQ6qrbJWFGI+V6upLR99ZN2WRxgzbA1Unp40V69eTQJ9nTrWdVAqJa+S2ChZGEDE9VOpSGlt2ZIMBh9/7JpnpiIQHmo/PzoHkefo62vNoRXe8rFj6ZofPEhKmthKY+FCUm4WLybjlBgTWVkUWSTK2D/4IMkMFYWj6qT2dOlCa6HYL1hEAGg01r13Rdj4PfeQXDJgAM2nzz5Lck9qKn3Xdq4sT2wLv6jV1lxDsR9uRAStZSLktahHbCw9oqKqh8PAhlqhrDFOEKFjRQ0ukWshFu+mTWnQCEVMlMQGaCDddZc1NEd4ULZuJQv7nDkVf04VjUJBwt7PP1NsutlM4V1PPUWbON+8SRPw9esFlQVbDhwghaBtW8rjEhZ3hYIW2N69KfTg5k1SoP74o2xtFp41sRfY9OmkqCxdalXYhNJYty4ppBMnkkX1wQfpvJRKWvhv3CgsXABWz5qwbtni60tCkwiXKMlkLizTrlhaRfhqTAw9xIbGQvgVmEwkzAwZQvmIZ89S7sTo0XTvpk2j/t2+PQnPx44VrFolwmQE5R0GWVkIAVJs1iw2623VioSzlBTXi47Y5qzZXgehsImQlKAg6vfOjBBCWdLprOGFKhXdR2d70NmG7Ilco2efpb5tm//Zowfd55Yt6f358wv3ZfH7gpAQazvU6oIhioA1Ed5eSBHVaJ1VBPTzI4FBlPkX5yAiEfLyXOtPSqXzEHZbRNEUIYjm5dHYMputlQxNJmsIk/1+lEYjKbceHtaiNm+/TSHVzz1HHoPcXOorzgr5lDe2oXw+PtSPQ0KsYYxibSurl8a24pwzhGJfHCLfS6UihT08nO55enrBtUIioXVAhOIFBFjHgOhr/v50DHGOrVqRV/mBB+jzcjmNYVujhOiPxRU+sTUWPP00he0tWULPnXlB1GqKQnnqKWprfn7BjcL37SNlLCrKGhpqr9yLc3GXkuoizzEigtbG4GBrikdeHuV0ffSRtXBWaip51Pv3J6Prxx/TGMnKonMOCyOF9tAh2rO2ZUtSyu3HzLlzpS/2JHC1OmVYGEU6iCJTsbE0jkwmaoPI3xOGhblzydh79iwpn8eP07yg1bo2VioS2y0ZRE67CPcXnlGx52g1W6/dZEQwVYLJVPxgFiEbFy7Q86ZNrXluYjIXwkLbttYkXSFYmc3koRH7WtQUVCprhbWtW2nxGzWKQshOnaLFKiGBHvaCZk4OTXhbt1KYjsgDFBWb9HqyEn3+OU0s3bqRRau0QpBtpT6Viix7r71GuR1z51IbRWUvlYom5NmzyWIYGkrnOXMmLTh5edbCCrYYDNbQnNTUgkKwEE6FQFLRk6RMRgpidDQJcCqVdbE0GulvdjYtREKRa9+eznnPHlqExL1Zu5YsisHBFAa0YAF5FX77zSpsuHsYZHGIkNSYGOoj6elU8fXDD8mb3rs39eGisA+DtMXLy7rJuFxOffrWLcfWfZGfpVZbPyOqHjrz6tr+f7PJCwAAopNJREFUjpeXc6+BpydZV1evJoPFqlUkbIkwHqCgZw2wLvLi+/aKmTgf221EBKKYhTMlU1QP9Pa2eg5FzoerG7iK8NbiEN4ika8ockq9vKy5ISIvx746qgiFFJUSJRLqIwYDGTOeeIIUtu++o7Hvihe0PBDh0QLhtYyJodfT0tw7V0UqJeOFrZfNNipDRL6kp9P4Cgmxhpna5keGh1uVqx49qF+LQj95eQU9nq561mzznTw8yEsklL6ijAO+vtZy6KJiaWYmPXQ6WsuUSlIy/f2t3irb9rjjPROhg3XqkNIWFkbXVKMhuef//o/WBlHRUCql3N/33iPD7j33kKFTpDU88ACtM4MHO664OHAgzU1l8VS74p0XKBTUJnGeoaF0nuJcRRXjyEjqqw88QMp3y5Zk3BW5i64aVpkSw8pabcZ+sXOEsKpevEiD1lF+n7DW3X03/bVV1g4dou8+/3z5tdtdEHkLI0ZQOe6NG0kYGjGCLPq//UYL1LVr5LERSkxOjjWs8quvrOXFZTJavGNiaEJUq8nD1qABWbB27XIu+BWFrdcjIoIm4/79SWj94gvyJKWnW70gKhUtQtHRpLy89RaFlvXsSRW8MjJIkLZtixByw8PpHERRGYEIt3VUJbSiEAnVUVF0TYUyaTSSlzEqyipMZ2SQcKfVkmI2ahRZRW/fJs/aCy9QP9+3jwTTjh3pvtx3H/DXX9XTs2aPlxddE2EwqFuXQkT//JPyFYraxsFRGKQtQqgUe/CkpZHSby+MCCExIIDuQ3a2NexaeIDsEa+J8SPyYRwhqhZOnEhW/tOnSdg6cYLet90zzxFiiwVb/Pzo/Oy9aFIpCXdiP0lHeHiQgCORWAs/eHqSUORKvqDwJrrS90QBDFvPmbe3teAKYBWabT1rotCQbb6UqC7q7U0K2+OP0zxy5AgpB+W5vYkzHIV5idBQ4S0WOV3ujPCyRURYvRn5+VZjakgIjT0xVuyVGR8f6mci5FbsKRgQQPdczG1mc+k8awDd3y5d6P/iwkpFKXwvLzqvwECSHcQ2CFIp9Slbb5Uo7S7WFHeeSxUKa0RCSAhdKx8fax61RGLdwqZXLyp4dPMmKWtGI8kD6en0mY0bKSxfFG87fpx+Iz2dIlpE0SGDga7//v2utbG4fVVdQUSqCGOUWk33NjKSFLf27Wk9XL6cvKm2e4Qy5Y6bz2JMheKK5cVWWXNWVEVY2oSyZluUZM0asr7ce2/5tNkdEUnuo0eTsCLCGp56iuK7jx2zbvIbH0+Cjtj7SQg2tvfBNkRGrabjde5MCuDatcXnxNljq6wplbRIqtVk+du8mSx/ogS47ftiA+fBg0lZ69ePco1GjqTnycnW0B0RciEm86iowhubinOs7MlcKqUFJyrKKhz4+1vDiEReQlQUCci2ngqZjK79K6/QwnT8OBkg1q6lfASx1UPz5jXDoigUnuho6g8NGlDxgmPHKH/GmdfE1rNWlKITFkb7r92+TUn2N28WVPpFP/L2ps+qVNQHVSoaN45CcAVCUC/K06RQ0Pnl5pKxZNcuEnTvvZfO0z4M0h4/P+um0ALhKXCkFIhtEorCy4v6pPAcCg+kq7lWIvSzOESesVJpzVUTlv7sbKswb7+foO31FBu+SySkBCiVdK8WLqRCKdOnUz5gSorjEPDypKiKhmIj68jIkuesVQWiKE3duqQA5OZaN/CuU8eqsInCO/ZjzN/fGgIqDH8qlVV4FuGQJclZAwoqiGvXkhGruLBbiYSufWAg/V5kpHVOiYgoGIJm663y96c2VnS/KS9sPVBRUTS2RHinbch/XBzldXboQP9rtVR8JD6eFLcOHSgax9/fun9bTg4pRIsWkSE4LY22Zhg50hrlVBS2xrOKQBh9/P2pSuTbbxesLs2UO6ys1WZKoqxduOA8jFEs+B060F9h3YuPJ8/Nc8/VDmuLCMMZPpxCGN9/n6xtEyZQSMPRowUrFSmVtKA5EhBFiExUFClAy5eTsjR1KlXVcuZlcIT9xK1Q0GLq5UVehY8/pnaK/a8UClpY69Sxlo4WFaGEZW/ECKp4deGCtTqTrUdCeLTUavLSiTZUZYiL8ISGhxf0jghvgb+/9Xo7QuT0tW1Lm7k+9RSVMf7uO7oe7m7BLwlqNV2LkBAqDPD22ySEP/OMYw+bKHJR3P318yMld9o0Ss6fO5e8tKJ/iDlJeNOCgkhBE/OQow2YSxoeLDZdzcuj47//PrVpwgSqeFtcsZiK6L8BAfQoTZhwaKg19KwoREVIkdMBWPcUE3mYHh7WDdkBq5dAhE2KMeThYVX46tSha7Z0KeW4Tp9O835Zc26Ko7jy86JITHVCbAsQE0Nrg9i7KiSE+mpgoOP+KfJBg4KsVSMB69YFZjMZSMR674pnTXxH0KoVGa1c6Z+O5gHhJQwLK/x5pbJg4ZXqNJd6etLaUbcu3beAAGteW04OXcuoKDL29e5N5xcYaA3vTkykqJuOHSkPXkR4TJ9O3rQRI6yVZU0miopxVBzJFmEAq6zrWJ0KbFVTqtGIYModV6oFiX1m/vnHuWftwQdJYG3QgJ4LZe3992lhHzasXJvt9gjP2IABlHy8fTtN1s8/T0I+QJZ02/wDZxOdCCUJC6OCCE8/TaWQ584lz5YrYYWOJm6xn5mPD3k6vv++4H3y8KBFJyyMFnYRplK3LimiixeTF7FzZ/KQAIUVf+FxCAwk5VKnq16LsCOE9zAmxhrWJyzgNQ253Fq58IEHKCRn924qFGSfw2ZbJrq4a+HnRx7auXNpbDz/PHnYTCarZ81W6RcbtIswVmfeNVfvgcjn8fW1lsZ/5RXK4RSet8pGbFfh41Nyz4KollYcosiIUMBERT9PT6u3XwiBtt5Osb2LmKdEwr44pre31bCzahWFBk+bRvNEReavFaesVWe8vKxzDEDnGR5Oc3adOo77ulDq/PysY1FUtQRIIRfeW1eUNdEfRCSHbWhsRSA846LwTnVDRHCEh1O0RmQkjY+sLDJY2hemEmNHKG6TJpEH9IUX6HM6HRnJ0tPJSAaQ9//aNco7L8pIVdGeNabS4TtZm3HVs3b1Kk00zjxrHh60v43td0wmKtM9eHD1nHjLisj18PKiv6Kq4/vvU+x6eLh1b6DivBEeHtaS3LNm0eL71lu0ALz5Ji3eRYX6OJu4PT2tlfpE+V17/Pyspff1ehJkMzMpHOORRyhMY948azvtz0O03cOjoJW2uiO8PqIwQE1QRB0hqs55epIyf/s2CRDBwSSQizCrkiSzSyQkoEydSuNj3jxSFjZtKry5ushfS0wkb192tjXnU1AaIdLfn+5XXh6NC42G8nK6dbNW3KtshMe7ogQs23Lrnp7WDb7FJsWiiIhEUjg3Vq22zlUi5ygjw3rP/fwotO72bcqFnTiRPO8iP7YiPFyuGBurM47y8YTC7Qy5vHBIru3m7kJZKy4MUlT31WppbYiMLN05lIaaoGAII4goopKTYw2RBKyVsgUeHrQt0vPPUxQNQNff05PK5L/wAr3WsSPtVzlwINCpk/V1e2xTH5gaQQ0YFUypcUXAkkopNAhw7lmzR0y2V69SHldtRuQAiQ1jW7SgMEax6IpFsTjhUCKxlgKfPJmUhNdeowVgxQprjpEjipq4PT2te205aoMIrzGZyOonQmoyMkjgXrECGDSIct/atnX8+8JrIJdXn3wEV/H0JO+T/T5bNQ21mgS2WbPIo/v663T/hw+nv7aCs6thUkFBFH6oVlMlzmHDSDi0D6kRmw/n5pKSlp5OQlBZBBFRoTQ7m4wmKhWdl1A6qupeVvT+UmJj++Rk62sKhTX8UWyEa2+1F1UnxVxiL2xKJOTVkUqtCtuzz5IHQKmkEO7yFhxrsmetLNhfE+FdS0mx7hcXHw907er8GGI8+/jQXO/rS+OQKRkSCY0VtZrmydxcmnPEdjliywdxzyZOpKJeV67QvQoMJKPo4cOU9yaTWTennjULaNeOPNn2sLJW4+CZrjbjajXIpCSaVOrWde24QlmrX7/oBaE2YVseXSyYvr4ULiFyPlxBVOx75hnKEfn2W8q1uXzZebU+4Vlzdq89PIrO1ZJISNkSYVp16tD5iBCnTp3Iw1aU9VUom1URYlYZ1GRFTSCKNixfTpVBZ8+maqa3bhXe/NkVpFJSHgYMoEJEJ0+SQGlvvJDLSWgRe4PZl/EvS3iW2FRapSLDSUmL91Q3RN5aYCCdO2BV1kQYmm3Ok7imwlMgFDSFgh62YdhinhBFPVavpuJSo0bRNiDlvf8aK2uuI0J+RRn2b74puiy8MOQK705ysnUPzdow11UEYs82cQ8iIwsXJVEoyJgrIhoAUvTeeosMotnZZASfMYOKIg0eTPtJ2vLHH/RZoGZ4KRkArKzVblwNgwRozylXrTTic6NG8cRuj1ptLVksyoD7+JTsOolwqREjSMg9fpxy2S5coJAVe6FIWNmKmriL24hUCNbCwh4WRm0WQrOXFwtOtQGplO79++8DrVtT2M6vv1IYXUk8awKZjJT/nj0pH8PXlx72xxCWfbHxalHbCJQElcq6j5ivLx23NgikSqXVOCM2kBVeAEfKmkRCwqXw3otQSEch7n5+9FlfX5qfGjemDei/+658z4GVNdcRm6FrtSTk//xz4e1XbBGeNdEncnMrb/+82oDY6Ny2KInBQMVF2ralyo/16tFznY7uQe/e1jGbnEzGWg8PCt+2NTJ98AHwv//R/+xZqzHwTFebKYmyVpINrUWI0siRpW5ajUbkiZQlj0MUf+jfn0r7//MPVSc8d47CkGwt3kVtWFxavLxIyM7PL7qcOlPzEKW5P/mE/k6cSGFVpe1fIq+xc2fgwAEKh7RXlmQya+VUpZIszKJIQlk8ayLJPy+P2i+VWqsc1hbERri21TxdOf/gYMf7bgLWCIDQUFLYYmNp8+xjx8qv3TU9Z628EQWtOnem8XrhgnOFzVY2EEVlHFViZcqGbVESsQWA2HxeRLGIypJaLc11KhUpbSJ3/c8/KZxcpBjYVop0pfAQUy3gma42UxJlzdV8NYAqHv7zD4VBMhWHyAV75BGqqpecTB62P/4ouOGwK5610uDnR4uJVktKGwtOtQeJhISLzz6jOWL3brr/xRUucIYo3S02iHaElxc9DAbq2zk5pW5+Aby9raXKxV5BtUlZA6zhkfaKWlmug4gAiIigbRoiIoBHH7VuQF5W2LNWMtRqUgBat6bnf/5JHnH7zekvXQJ++61gOLLY57A2eJ2rClGQJCaGjBshIfSIiSFjlogoEJUl1WoqOPLGGzT/zptHa3FODqWfrFxJOW1MjYBnutqMq6X7gZJ51mQyVtQqEz8/oEcPYOdOEmRHj6b8nxs3yGNQkcnGgYG0oIi91pjaRdOmtKeW8KaXRZBTq6kvOSuUIypDityO9HSrkgWU/rfFZvC12UMswkGFslZe+WWigFF4OEUAhIQAvXpRwYSywspayRB5UH5+wF13Uaidvz+Noxs3rCHtrVtTdIbtBvdiz7qantPpDkilZJQSxYaUSjLKxsZac9wlElLcsrLIYz1lCm2ns20bpUL4+FDosbO5lKl28ExXm3GlwIhYDEviWWMqH29vCm/55BOaqJ96ihbj69dpERYlt8sbUVQgIIAtrrWVtm2pYMH//ld2Id/f37q3lCO8vEholEoL7htVFuRyGjM6XfkXwaguqFQUsijCpspzTy2FghS2sDASJhs2pGiATz4p23E5DLLkeHlZPTI//2wt/KTV0sbLN29aFTL7sSUK0nDRiqpBKqV7FxxM+Wwi1y0/Hxg3jvbCnDWLwlslEjae1jDcbqbLycnB119/jXXr1mHdunX4+uuvkVNe4S5MQSoqDJKpGlQqoE0b4NNPaSIfOxb48UfHFfbKE5nMulkrUzvp2BEYP548rRWJyDET+9qJgiBA2fq3KEsuwrxqo+FBKGrl6VkTqFSkhAcG0n56XbsCQ4cC77xT+mOyZ63kSKUk4LdrR4a8+HjrNhZKJeVG3XUXffbvvwvLB6IQDVO12Oe6RUZSld6wMFK6vb1p3a+txqcaiFuZSFavXo2XX34Z2dnZMNt0Mh8fHyxatAhTpkypwtbVQFxV1sLDrcnJjHvj6UmL7Z49lHQ8YQJ5Poqr9lhWRJlnpvaiUlVO2I2PD+VtKBSUTF8eln6l0rotQEXvdVYdKE/PmkCtprUkKYkKIyxeTBuj//EH5bR5epbseCIyhJWHkuHlBXTpQtftxAny0gDW7RkaNCBFLTnZ+d6bjPsgttHw9ydvdffuNEeaTOwFrUG4jVlq27ZtmDp1Klq0aIEdO3bgzJkzOHPmDD7++GO0bNkSU6dOxfbt26u6mTULV5Q1Pz9rQjJTPZDLaQH++GPKZfv1V2v5X4ap7ohNZo1GKowgcjLLIkTKZNYNsWs7FeFZE3h5kRdepQJefpk2V9+2Dbj/flLiSoLJxIpDafDwAKKjKRz1t9+cf27ixMprE1N2ZDIgLg44f572PQ0MZGWtBuE2d3LlypW47777cPjwYchsFIhWrVph4MCBeOCBB7BixQqM5HLw5UdmJu2fVhQrVhQsA89UD2QyKgP8wQe0hcKVKyzYMDUDqZSsyImJ1sIg5eENU6vLtp1GTaIiPGsCsdfkjRtUHKFxY2DSJDIKbt0K9Onj2nE4Z630eHtTKKSjypwmE9CtGynT9nA1SPdH5PyazRwGWYNwm5nu4sWLGDRoUAFFTSCTyTBo0CBcvHixClpWg0lJoWTVohDV/pjqh0RCRQN27aL9qximpiAUK4nEWhChrEKkbRhnbRZIK9KzJlCpyJjk5UVh2199RZ6ehx8GZsxwzcPJnrXSo1RSKOS//1L1QFvMZms+qH31R/Ee4/5UVFExpkpwmzvp5+eH+Ph4p+/Hx8fDl/OmypfU1OKVNaZ6I6p9idAjhqkJeHpSHq1OR4K9o419S4ooT84CjpWKVIYUCpqXAgJI+d62jRS11auBTp1or86icKWaMeMYiYRym4DCoZBGI70vtmPRaKzjy2zma84wVYDbrEp9+/bF6tWrsXPnzkLv7dq1C2vWrMGjjz5aBS2roeTlUXI+K2u1A7WaF1mmZiEqOIqNsstDsQgIIKNGbfbYVGbZbw8PqmAXEkKK98SJwEcfkYIQF0eKm7O2cDXIstGkCVXw/fXXgq/bKsFBQTQmsrKolD+HQTJMleA2M92bb76J+vXrY/jw4YiMjES3bt3QrVs3REZGYtiwYahfvz7efPPNqm5mzUGEPrCyxjBMdUQUGinPoiAqFSkPtZ2KzFmzRyajcO2ICCoY07o1sG8f5bM9/zzw4INUYt4ezlkrGx4etDenfd6aCC+VSKxbLkRFkUGErznDVAluM+pCQkLw+++/Y+XKlWjZsiVu3bqFW7duoWXLlnjrrbdw6tQpBLNiUX6kpNBfvqYMw1RHJBIqNFKZikVtoDJy1hz9ZkAA7Rclk1GY68KFtCfbP/8ALVsCGzYUbBd71srOvfdS9cDsbOtr9tdV7MMWHk7GEd5smWEqHbepBgkASqUSU6dOxdSpU6u6KTUfVtYYhqnuqNWci1neVIWyJvDxIY/PrVsUetetG+0Z+fbbtGfk3r2kwEVFsbJWHnTrRt7Mkyfpf8B5LqCfH11vrpjKMJUOz3S1FVbWGIap7nh6UmU79qqVL1VZ8lupJA9bSAjlVgcFURn5zZuBs2eBFi1oSxIOySs7rVpR7qdtKKQoMCIetvj4lHzzcoZhykyVeda6d+8OqVSKb7/9FnK5HD169Cj2OxKJBIcPH66E1tUCUlLIgimS9BmGYaojanXhEuNM6bH1rFWVEiyXUx6bQgHcvk1KWZcuwGefAW+9BTz1FH2uPKqA1mbkcqB9e+DPP6nAi0LBHkuGcUOqbESazWaYbGKfTSYTzGZzkQ8Tx0qXH2KPNbZIMwxTnQkMJMGe57Lywx020xU5iVFRFOpqMNDzl1+mzbM9PGhDbaZsdO4MnDtH1R4B3kuNYdyQKvOsfffdd0U+ZyoYVzbEZhiGcXckEg7NKk/cwbNmi1pNYZHJyUBaGoVJtm0LXLpEniGmbHTsCCxeDCQlUV6aCC91FAbJMEyV4Dbmkx9++AHJyclO309JScEPP/xQiS2q4bCyxjAMwzjCHTxrtoj92MLCaKsGhQLIyaEHUzY6dqS/f/9NOYK82TjDuB1uo6x1794dBw8edPr+4cOH0b1790psUQ2HlTWGYRjGHnfzrAmkUlqzoqLouURCuYpcnbBshIUBMTHAhQuUt2a7z5o73X+GqcW4jbJmLsaSp9PpIGNrT/nByhrDMAzjCHfzrNni60thkaIKKOdXlZ2OHYEzZ8ijxlU2GcbtqNKA74SEBMTHx1ueX7hwwWGoY3p6OtavX4+6detWYutqOKysMQzDMPZIJNaNj93VsyLy2G7d4pC98qBjR2DePAo3NRj4mjKMm1GlytqWLVvw6quvQiKRQCKRYNGiRVi0aFGhz5nNZshkMqxfv74KWllDYWWNYRiGcYQ7e9YEnp4UEumuCmV1omNHCim9fp3DIBnGDalSZW3w4MFo0aIFzGYzBg8ejOeffx733ntvgc9IJBJ4eXkhLi4OderUqaKW1jC0WkokZmWNYRiGscVdc9Yc4e7tqy60bUvetLNn6d5XB2WdYWoRVaqs3XXXXbjrrrsAkJft/vvvR2xsbFU2qXaQkkJ/WVljGIZhbLFV1pjagVoNtGoFnDpFz/n+M4xb4TablIwePbqqm1B7EMpaUFDVtoNhGIZxP6qLZ40pPzp2BL7/nv7nfdYYxq1wG2UNAPLy8vDpp5/i999/R0ZGBkwiyfkOEokEmzdvrqLW1SDYs8YwDMM4wlZAZ2G99tCxI7B+PRAaypvMM4yb4TbK2tWrV9G9e3fEx8fD398fGRkZCAwMRHp6OoxGI4KDg+Ht7V3VzawZsLLGMAzDOIPD4GofHTvSfb91i/auE941hmGqHLfZTGPWrFnIyMjAr7/+in/++Qdmsxm7du1CdnY2lixZApVKhW+//baqm1kzSEmhPWrU6qpuCcMwDONOVKcCI0z50aQJ4OdH/yuVpLDx/WcYt8BtlLUjR45g0qRJ6NChA6R3NmQ0m81QKBSYNWsWHnjgAUybNq1qG1lTEGX7eSJmGIZh7GHPWu1DKgXuvpv+VyqBsDDeHJth3AS3GYlardZSCdLX1xcSiQQZGRmW9zt37oyffvqpilpXw+A91hiGYRhHsGet9tKxI/2VSgG522TJMEytx22UtZiYGCQmJgIA5HI5IiMj8euvv1reP3/+PJRKZVU1r2bByhrDMAzjDPas1U6EsnZHFmMYxj1wG9NJjx49sH//fsyfPx8AMGbMGCxevBgajQYmkwnbt2/HqFGjqriVNYSUFIA3GGcYhmHs4X3Wai8iDFLst8YwjFvgNsra//73P/z222/Q6XRQKBR46aWXcOPGDezZswcymQzDhg3DihUrqrqZNYOUFKB586puBcMwDONusLJWewkLA1QqYMKEqm4JwzA2uI2yFhMTg5iYGMtzpVKJTZs2YdOmTVXYqhoKh0EyDMMwzuCctdqLVlvVLWAYxg63yVkrjosXL+Lpp5+u6mZUf8xmUtaCgqq6JQzDMIy7wQoawzCMW+EWylpycjKOHz+Of/75p9B7J06cQP/+/dG8eXN8+OGHVdC6GoZOB3TtCjRsWNUtYRiGYdwR9qwxDMO4DVWqrOl0OowcORLh4eHo0qUL7rrrLsTFxSE+Ph63bt3C448/js6dO+P//u//MHHiRFy8eLEqm1szUCqBI0eA3r2ruiUMwzCMu8E5awzDMG5FleasvfHGG/joo4/QqVMndO3aFVeuXMHevXsxevRo3L59G0lJSXjllVfw3HPPITAwsCqbyjAMwzC1A/asMQzDuA1Vqqzt3LkTDz30EL755hvLaytWrMCsWbPQrFkzXLhwAWFhYVXYQoZhGIapRbBnjWEYxq2o0jDIq1ev4rHHHivw2hNPPAEAmD17NitqDMMwDFPZsGeNYRjGbahSZS0/Px9+fn4FXhPPo6KiqqJJDMMwDFN7Yc8awzCMW1Hl1SAlTix3zl5nGIZhGKYCYc8awzCM21Dlm2KPHTsWEyZMKPT6I488AplMVuA1iUSCjIyMymoawzAMw9Qu2LPGMAzjVlSpsjZ69Oiq/HmGYRiGYWyx9aaxZ41hGKbKqVJlbcuWLVX58wzDMAzD2GMyVXULGIZhmDtUec4awzAMwzBugm0YJHvWGIZhqhxW1hiGYRiGscI5awzDMG4DK2sMwzAMwxDsWWMYhnErWFljGIZhGMYKe9YYhmHchlqhrOl0Orz44ouIiIiASqVCx44dcfDgwWK/t2DBAkgkkkIPpVJZCa1mGIZhmEqGPWsMwzBuRZXvs1YZjBkzBnv27MG0adPQqFEjfPDBB3j44Ydx9OhRdO3atdjvr1u3Dt7e3pbn9vu/MQzDMEyNgT1rDMMwbkONV9ZOnDiBnTt3YtmyZZg5cyYAYNSoUWjRogVmz56NY8eOFXuMgQMHIjg4uKKbyjAMwzBVC3vTGIZh3Aq3CYOUSqWQyWRFPry8vNCkSRM8++yz+Pfff1067p49eyCTyTB+/HjLa0qlEmPHjsUvv/yCa9euFXsMs9mMzMxMmNnayDAMw9RkbMMgGYZhmCrHbZS1V155Ba1atYJMJsMjjzyCadOmYdq0aejbty9kMhni4uIwadIkNGvWDFu2bEHbtm3xxx9/FHvc06dPo3HjxvD19S3weocOHQAAZ86cKfYY9evXh5+fH3x8fDBixAjcunWrVOfIMAzDMG4P56wxDMO4DW4TBhkREYGUlBRcuHAB9evXL/De5cuX0a1bNzRr1gzLli3DpUuX0LlzZ7z00kv46quvijxuUlISwsPDC70uXrtx44bT7wYEBGDKlCno3LkzFAoFfvzxR7z77rs4ceIETp48WUgBFOh0Ouh0OsvzzMzMItvIMAzDMG4BFxhhGIZxK9zGs7Zs2TJMnjy5kKIGAA0bNsTkyZOxePFiAECjRo3w7LPPupRvlpubC4VCUeh1UdExNzfX6XenTp2K1atXY9iwYRgwYABWrVqFrVu34tKlS1i7dq3T7y1evBh+fn6WR3R0dLHtZBiGYRi3gMMgGYZh3Aa3UdYSExMhlzt39Mnl8gL5ZbGxsQW8V85QqVQOP5eXl2d5vyQMGzYMYWFhOHTokNPPzJkzBxkZGZaHK3lxDMMwDFPlsGeNYRjGrXAbZa158+ZYt26dw3ywmzdvYt26dWjevLnltf/++w9hYWHFHjc8PBxJSUmFXhevRURElLit0dHRSEtLc/q+QqGAr69vgQfDMAzDVAtMpqpuAcMwDHMHt8lZW758Ofr06YOGDRvi8ccfR8OGDQFQvtpnn30GvV6P999/HwB5xT744AP06dOn2OPGxcXh6NGjyMzMLKA0HT9+3PJ+STCbzYiPj0ebNm1K9D2GYRiGcXvYs8YwDONWuI2y1q1bNxw7dgzz58/H3r17LblkSqUSDz74IBYsWIC2bdtaXiuqMIgtAwcOxPLly7FhwwbLPms6nQ5btmxBx44dLflkCQkJ0Gq1aNq0qeW7ycnJCAkJKXC8devWITk5Gb179y7zOTMMwzAMwzAMwzjDbZQ1AGjTpg0+//xzmEwm3L59GwAQGhoKqbT00ZodO3bEoEGDMGfOHNy+fRsNGzbE1q1bER8fj82bN1s+N2rUKHz//fcF9lKrW7cuhgwZgpYtW0KpVOKnn37Czp07ERcXhwkTJpT+RBmGYRjGHbH1prFnjWEYpspxK2VNIJVKXcpHc5Vt27Zh3rx52L59OzQaDVq1aoUvv/wS9913X5HfGz58OI4dO4ZPP/0UeXl5qFu3LmbPno25c+dCrVaXW/sYhmEYhmEYhmHskZjN7lOjV6PR4OOPP8Z///0HjUYD+6ZJJJIC3rDqQmZmJvz8/JCRkcHFRhiGYRj3pWdPQFQ7vngRaNy4atvDMAxTAymJbuA2nrVvv/0WAwcORE5ODnx9fREQEFDoMxIOyWAYhmGYioPXWYZhGLfCbZS1GTNmICwsDHv37kXLli2rujkMwzAMU7thxY1hGKbKcZt91i5fvoznn3+eFTWGYRiGqSpYQWMYhnEr3Maz1qhRI2RlZVV1M9wCo9EIvV5f1c1gGMaN8PDwgEwmq+pmMLUJVtwYhmGqHLdR1l5//XVMnjwZw4YNQ2xsbFU3p0owm824efMm0tPTq7opDMO4If7+/ggLC+P8Xabi4L7FMAzjVriNsnb48GGEhITgrrvuQs+ePREdHV3IiiyRSPD2229XUQsrHqGohYaGQq1Ws0DGMAwAMuRotVrL/pPh4eFV3CKmVsBrEMMwTJXjNsramjVrLP//f3v3HR5F1bYB/N4E0kiBQCCU0HvvRboiVVF4KSK9I4KAIiBICUWkIygooglVehEERSI19Cqd0AMk9BRII7vP90e+GXezuyEJSXZI7t91zZXs1DNzdmbnmVNm+/btFufJzMGaXq9XA7XcuXPbOjlEpDHOzs4AgIcPHyJv3rysEknpgwEaEZGmaCZYMxgMtk6CTSlt1PiybSKyRrk+vHz5ksEaERFRFqCZ3iApAas+EpE1vD5QuuN3jIhIUxisERERUQLjYI2BGxGRzdmsGqSdnR3s7OwQFRUFBwcH2NnZvfKpsU6nQ3x8fAalkIiIiIiIyHZsFqxNmDABOp0O2bJlM/lMlBxNmjQBAOzduxcAcOvWLRQrVgx+fn7o1asXAGDSpEnw9fWFiNgmkRko8fEgIkoVlqwREWmKzYK1SZMmJfmZMpdz587B19cXx48fx4MHD5A7d26UL18ebdu2xdChQ22dvDTXq1cvLFu2TP3s4OCAIkWK4KOPPsLYsWPh5OSU4nVevHgR69atQ69evbLsuwiJiIiIshLN9AZJmdehQ4fQtGlTFC5cGP3794e3tzeCg4Nx5MgRfPfdd6kK1nbt2vXKeb7++muMGTMmNUlOE46Ojli6dCkAIDw8HFu3bsWUKVNw/fp1rFq1KsXru3jxInx9fdGkSROzYC05x4OI6JVYskZEpCk2C9aWL1+equV69OiRximh9DZt2jR4eHjg+PHjyJkzp8k05SW/KeXg4PDKebJly6ZWs7WFbNmyoVu3burnwYMH46233sJvv/2GuXPnIl++fGm2reQcDyIiIiJ6s9jsTlZpV5QSOp2Owdob6Pr166hQoYJZoAYAefPmNfkcHx+P6dOnw9/fH3fv3kX+/Pnx8ccfY+LEiXB0dFTnS04bLUtt1nQ6HT799FM0a9YMX3/9NYKCglCyZEnMmTMHLVu2NFl+7969GDlyJM6fP4+CBQti1KhRCAkJSXU7OJ1OhwYNGuDIkSO4ceOGGqzdvn0bM2bMQEBAAO7cuQMXFxe8/fbbmDVrllqC5u/vj969ewMAmjZtqq5zz549aNKkicXj8fDhQ3z11VfYvn07wsPDUaZMGXz++efo2bNnitNORFkES9aIiDTFZsHazZs3bbVpymBFihTB4cOHcf78eVSsWDHJefv164dly5ahQ4cO+OKLL3D06FFMnz4dly5dwubNm9MkPQcPHsSmTZswePBguLm5YcGCBfjf//6HO3fuIHfu3ACA06dPo2XLlsifPz98fX2h1+sxefJkeHl5vda2b926BQDIlSuXOu748eM4dOgQPvroIxQqVAi3bt3C4sWL0aRJE1y8eBEuLi5o1KgRPvvsMyxYsABjx45FuXLlAED9m1h0dDSaNGmCa9euYciQIShWrBjWr1+PXr16ISwsDMOGDXut/SAiIiKi9GezYK1IkSK22vSbJSoKuHzZ1qn4T9mygItLihYZOXIkWrVqhapVq6J27dpo2LAh3nnnHTRt2hTZs2dX5zt79iyWLVuGfv364eeffwaQUHUwb968mD17Nvbs2WNSqpRaly5dwsWLF1GiRAkACSVVVapUwW+//YYhQ4YAACZOnAh7e3sEBgaiQIECAIBOnTpZDY6sefz4MYCENmtbtmzBxo0bUbFiRZQpU0adp02bNujQoYPJcu+//z7q1auHjRs3onv37ihevDgaNmyIBQsW4N1331VL0qxZsmQJLl26hJUrV6Jr164AgEGDBqFx48b4+uuv0adPH7i5uaVoX4goC2DJGhGRprCDEa27fBmoUcPWqfjPyZNA9eopWuTdd9/F4cOHMX36dPz11184fPgwZs6cCS8vLyxduhRt27YFAOzYsQMA8Pnnn5ss/8UXX2D27Nn4448/0iRYa9asmRqoAUDlypXh7u6OGzduAAD0ej12796Ndu3aqYEaAJQsWRKtWrXCtm3bkrWdFy9emJXENWjQAMuWLTN5TYWzs7P6/8uXLxEREYGSJUsiZ86cOHXqFLp3757ifdyxYwe8vb3RpUsXdVz27Nnx2WefoUuXLti3bx/ee++9FK+XiLIQBmtERDZns2CtadOmsLOzw19//YVs2bLh7bfffuUyOp0OAQEBGZA6DSlbNiFA0oqyZVO1WK1atbBp0ybExcXh7Nmz2Lx5M+bNm4cOHTrgzJkzKF++PG7fvg07OzuULFnSZFlvb2/kzJkTt2/fTos9QOHChc3G5cqVC8+ePQOQ0NYrOjraLB0ALI6zxsnJSQ3s7t69i5kzZ+Lhw4cmwRmQUGVx+vTp8PPzw71790zaw4WHhyd7e8Zu376NUqVKwc7OzmS8UjKYVseSiDIZBmhERJpis2BNRGAwGNTPBoPhlS/FzgovNzbj4pLikiwtc3BwQK1atVCrVi2ULl0avXv3xvr16zFx4kR1nvR+Obq9vb3F8Wn9/bK3t0ezZs3Uzy1atEDZsmUxcOBA/P777+r4oUOHws/PD8OHD0e9evXg4eEBnU6Hjz76yOQcISJKd6wGSUSkKTYL1hL34pdUr36UOdWsWRMAEBISAiChHaPBYEBQUJBJ27AHDx4gLCwsw9o55s2bF05OTrh27ZrZNEvjkit//vwYMWIEfH19ceTIEdStWxcAsGHDBvTs2RNz5sxR542JiUFYWJjJ8ikJYosUKYJ///0XBoPBpHTt8v+3f2SbUSIiIiLts3v1LESvZ8+ePRZLrZQ2akpnG61btwYAzJ8/32S+uXPnAkjoiCMjKCViW7Zswf3799Xx165dw86dO19r3UOHDoWLiwu+/fZbk+0lPj4LFy6EXq83GZcjRw4AMAviLGndujVCQ0Oxdu1adVx8fDwWLlwIV1dXNG7c+DX2gogyLZasERFpiuY6GNm3bx/++OMPtU1NkSJF0KZNG95cvsGGDh2KqKgotGvXDmXLlkVcXBwOHTqEtWvXomjRour7w6pUqYKePXtiyZIlCAsLQ+PGjXHs2DEsW7YMH374YZp0LpJckyZNwq5du1C/fn188skn0Ov1+P7771GxYkWcOXMm1evNnTs3evfujUWLFuHSpUsoV64c3nvvPaxYsQIeHh4oX748Dh8+jN27d6uvEVBUrVoV9vb2mDFjBsLDw+Ho6Ii3337b7F11ADBgwAD89NNP6NWrF06ePImiRYtiw4YNCAwMxPz589kTJBEREdEbQDPBWlxcHLp06YItW7ZARNQXKIeFhWHOnDlo164dfvvtN5Ou3unNMHv2bKxfvx47duzAkiVLEBcXh8KFC2Pw4MH4+uuvTV6WvXTpUhQvXhz+/v7YvHkzvL298dVXX5m0acsINWrUwM6dOzFy5EiMHz8ePj4+mDx5Mi5duqRWJUytzz//HD/++CNmzJgBf39/fPfdd7C3t8eqVasQExOD+vXrY/fu3WjRooXJct7e3vjxxx8xffp09O3bF3q9Hnv27LEYrDk7O2Pv3r0YM2YMli1bhoiICJQpUwZ+fn6peiE9EWURLFkjItIUnWik145x48Zh+vTpGDlyJL744gvky5cPQELPfHPmzMGsWbMwbtw4TJkyxcYpTbmIiAh4eHggPDwc7u7uFueJiYnBzZs3UaxYMTg5OWVwCim5PvzwQ1y4cAFBQUG2TgplQbxOULr73/+ATZsS/r93DzB6fQkREaWN5MQGCs20WVu9ejV69uyJmTNnqoEakNDZw4wZM9CjRw+sWLHChimkrCY6Otrkc1BQEHbs2PHKF1ITEb2xWJpGRKQpmqkGGRISgjp16lidXqdOHaxZsyYDU0RZXfHixdGrVy8UL14ct2/fxuLFi+Hg4IBRo0bZOmlERERElAVoJlgrVKgQ9u7di0GDBlmcvm/fPhQqVCiDU0VZWcuWLfHbb78hNDQUjo6OqFevHr755huUKlXK1kkjIkofSskaS9iIiDRBM8Faz549MXHiROTMmRMjRoxAyZIlodPpEBQUhPnz52P9+vXw9fW1dTIpC/Hz87N1EoiIiIgoC9NMsDZ27Fhcv34dS5Yswc8//6y+yNdgMEBE0LNnT4wdO9bGqSQiIsrEWLJGRKQpmgnW7O3t4e/vj88//xw7duwwec9a69atUblyZRunkIiIKJNjkEZEpCmaCdYUlStXZmBGRERkSwzaiIg0QXPBmuLy5ctYv349QkJCULZsWfTq1euV7yEgIiKi18CXYhMRaYpNg7Xvv/8eCxYswKFDh5AnTx51/LZt29CxY0fExcWp4xYsWIAjR46YzEdERETpgIEaEZEm2PSl2L///jtKlChhEoDFx8ejX79+sLe3h5+fH86dO4dvv/0Wt2/fxrRp02yYWiIiokyOQRoRkabYNFi7ePEi6tatazJuz549ePToEUaMGIGePXuiQoUKGDVqFDp16oQdO3bYKKVERERZCIM2IiJNsGmw9uTJE/j4+JiMCwgIgE6nQ7t27UzG169fH3fu3MnI5BHZ1J9//omqVavCyckJOp0OYWFh6NWrF4oWLfrKZW/dugWdTgd/f/90T2d6yiz7kRz+/v7Q6XS4deuWrZNCWRmDNCIiTbFpsJYvXz6EhoaajDtw4ABcXFxQpUoVk/EODg5wcHDIyORph14PvHxp+0GvT/UunDx5Ei1btoS7uzvc3NzQvHlznDlzxmy+Jk2aQKfTmQ0tW7Z85TZiY2MxdOhQeHl5oVChQpg6darZPHfv3oWrqysCAwNTvS8Z4cmTJ+jUqROcnZ3xww8/YMWKFciRI4etk/VGiYqKwqRJk7B3715bJ4XozcOgjYhIE2zawUjNmjWxbNkyDB06FG5ubrhw4QKOHTuGDz74ANmymSbt8uXLKFSokI1SakN6PRAcDBh1tmIzDg6Ajw9gb5+ixU6dOoUGDRrAx8cHEydOhMFgwKJFi9C4cWMcO3YMZcqUMZm/UKFCmD59usm4AgUKvHI7s2bNwvLlyzFu3DhERkZi8uTJKFGiBLp06aLO8+WXX6Jt27aoX79+ivYhox0/fhyRkZGYMmUKmjVrpo7/+eefYTAYbJiyjFWkSBFER0cje/bsKV42KioKvr6+ABIeAhBRMjBIIyLSFJsGaxMnTkStWrVQqlQpVKhQASdPnoROp8NXX31lNu/mzZvx9ttv2yCVNmYwJARq9vZANhtmV3x8QjoMhhQHa+PHj4ezszMOHz6M3LlzAwC6deuG0qVLY+zYsdi4caPJ/B4eHujWrVuKk7h9+3Z88cUXGDVqFAAgODgYv//+uxqsHTx4ENu2bcPly5dTvO6M9vDhQwBAzpw5TcanJmh5k+l0Ojg5Odk6GSZevHjBUk7KvJRgjUEbEZEm2LQaZKVKlfDPP/+gRo0auH//PurWrYsdO3agRo0aJvPt3bsXLi4u6Nixo41SqgHZsgHZs9tueI1A8cCBA2jWrJkaqAFA/vz50bhxY2zfvh3Pnz83WyY+Pt7i+KRER0cjV65c6mdPT09ERUUBAAwGA4YNG4ZRo0aluIQ2LCwMI0aMQNGiReHo6IhChQqhR48eePz4sTrPw4cP0bdvX+TLlw9OTk6oUqUKli1bZrIepf3V7NmzsWTJEpQoUQKOjo6oVasWjh8/rs7XpEkT9OzZEwBQq1Yt6HQ69OrVCwAstllT2rJ5eHggZ86c6NmzJ8LCwizuy+XLl9GhQwd4enrCyckJNWvWxO+//24yj9J2KjAwEJ9//jm8vLyQI0cOtGvXDo8ePTJb586dO9G4cWO4ubnB3d0dtWrVwurVq03mOXr0KFq2bAkPDw+4uLigcePGyaqKaqnNWq9eveDq6op79+7hww8/hKurK7y8vDBy5Ejo/7+q7q1bt+Dl5QUA8PX1VavTTpo0KVXHYt++fRg8eDDy5s2LQoUKYcOGDer4xH766SfodDqcP38eAPDvv/+iV69eKF68OJycnODt7Y0+ffrgyZMnr9x/IiIiytps/lLst956C3/88UeS8zRp0gTnzp3LoBRRWouNjYWzs7PZeBcXF8TFxeH8+fMmvYJevXoVOXLkQFxcHPLly4f+/ftjwoQJryxVqlWrFpYsWYImTZrg+fPn+O233zBkyBAAwC+//ILHjx/jyy+/TFHanz9/joYNG+LSpUvo06cPqlevjsePH+P333/H3bt3kSdPHkRHR6NJkya4du0ahgwZgmLFimH9+vXo1asXwsLCMGzYMJN1rl69GpGRkRg4cCB0Oh1mzpyJ9u3b48aNG8iePTvGjRuHMmXKYMmSJZg8eTKKFSuGEiVKWEyfiOCDDz7AwYMHMWjQIJQrVw6bN29Wgz1jFy5cQP369VGwYEGMGTMGOXLkwLp16/Dhhx9i48aNZp36DB06FLly5cLEiRNx69YtzJ8/H0OGDMHatWvVefz9/dGnTx9UqFABX331FXLmzInTp0/jzz//xMcffwwA+Oeff9CqVSvUqFEDEydOhJ2dHfz8/PD222/jwIEDqF27doryBAD0ej1atGiBOnXqYPbs2di9ezfmzJmDEiVK4JNPPoGXlxcWL16MTz75BO3atUP79u0BAJUrV07VsRg8eDC8vLwwYcIEvHjxAm3atIGrqyvWrVuHxo0bm8y7du1aVKhQARUrVgQA/P3337hx4wZ69+4Nb29vXLhwAUuWLMGFCxdw5MgR6FiCQVrCkjUiIm0RSnfh4eECQMLDw63OEx0dLRcvXpTo6GjTCXFxIleuiNy6JXLvnu2GW7cS0hEXl+L9r1SpkpQuXVri4+PVcbGxsVK4cGEBIBs2bFDH9+nTRyZNmiQbN26U5cuXS9u2bQWAdOrU6ZXbCQ4OlgoVKggAASANGzaUyMhICQsLEy8vL1mzZk2K0z5hwgQBIJs2bTKbZjAYRERk/vz5AkBWrlypTouLi5N69eqJq6urREREiIjIzZs3BYDkzp1bnj59qs67detWASDbtm1Tx/n5+QkAOX78uMk2e/bsKUWKFFE/b9myRQDIzJkz1XHx8fHSsGFDASB+fn7q+HfeeUcqVaokMTExJvvw1ltvSalSpcy23axZM3UfRURGjBgh9vb2EhYWJiIiYWFh4ubmJnXq1DH73irLGQwGKVWqlLRo0cJkXVFRUVKsWDF59913zY6rMeWYGe9Hz549BYBMnjzZZN5q1apJjRo11M+PHj0SADJx4kSz9ab0WDRo0MDk+ysi0qVLF8mbN6/J+JCQELGzszNJW1RUlNn2f/vtNwEg+/fvN9vWzZs3rR4Pq9cJorTSrZsIIOLkJBISYuvUEBFlSsmJDRQ2rQZJWcPgwYNx9epV9O3bFxcvXsT58+fRo0cPhISEAEiovqj45ZdfMHHiRLRv3x7du3fH1q1b0b9/f6xbtw5HjhxJcjuFChXC6dOncfr0aVy4cAF79+6Fq6srfH19UaZMGXTu3BkHDx5EnTp14OPjg88++wxxr+i4ZePGjahSpYpZSQsAtURkx44d8Pb2NunIJHv27Pjss8/w/Plzs6pynTt3Nqmu2bBhQwDAjRs3kkyLJTt27EC2bNnwySefqOPs7e0xdOhQk/mePn2Kf/75B506dUJkZCQeP36Mx48f48mTJ2jRogWCgoJw7949k2UGDBhgUurTsGFD6PV63L59G0BCiVFkZCTGjBlj1q5MWe7MmTMICgrCxx9/jCdPnqjbffHiBd555x3s378/1R2mDBo0yORzw4YNk3UMU3Ms+vfvD/tEbTU7d+6Mhw8fmvQ2uWHDBhgMBnTu3FkdZ1yqHBMTg8ePH6slyadOnUr2/hJlCJaoERFpCoM1SneDBg3C2LFjsXr1alSoUAGVKlXC9evX1Y5AXF1dk1z+iy++AADs3r37ldvKnj07qlativLly8POzg6XL1/GokWL8N133+Hp06do06YNPvzwQ6xfvx5///03pk2bluT6rl+/rlZns+b27dsoVaoU7OxMT6dy5cqp040VLlzY5LMSuD179uyV+2dp2/nz5zc7hol72Lx27RpEBOPHj4eXl5fJMHHiRAD/dWqS3HRev34dAJI8PkFBQQCAnj17mm136dKliI2NRXh4eEp3G05OTmqbNOP0JecYpuZYFCtWzGw9Shs842qha9euRdWqVVG6dGl13NOnTzFs2DDky5cPzs7O8PLyUteXmn0nSlcM1oiINMXmbdYoa5g2bRpGjhyJCxcuwMPDA5UqVcLYsWMBwOTG1hLlxelPnz5N8XZHjBiBbt26oXr16lixYgU8PT3V3kZHjRqFadOmqd27Z5TEJTQKEUm3bSqlVyNHjkSLFi0szlOyZEmTz2mRTmW7s2bNQtWqVS3O86pg3RJraUtJmlJyLCy1uXR0dMSHH36IzZs3Y9GiRXjw4AECAwPxzTffmMzXqVMnHDp0CF9++SWqVq0KV1dXGAwGtGzZMku9hoHeEGyzRkSkKQzWKMPkypULDRo0UD/v3r0bhQoVQtmyZZNcTqnalrgk5VW2b9+OQ4cOqaU79+/fR/78+dXpBQoUMKvulliJEiXUXv2sKVKkCP79918YDAaT0jXlFQFFihRJUbpTokiRIggICMDz589Ngp4rV66YzFe8eHEACSWPxu9tex1Kpyfnz583C24Sz+Pu7p5m200uax13pOWx6Ny5M5YtW4aAgABcunQJImJSBfLZs2cICAiAr68vJkyYoI5XvpNEmsVgjYhIE1gNkmxi7dq1OH78OIYPH64GOBEREYiNjTWZT0QwdepUALBaCmJJXFwcPv/8c3z99dfImzcvACBfvny4du0a4uPjAQCXLl2Ct7d3kuv53//+h7Nnz2Lz5s1m05QSptatWyM0NNSkOlx8fDwWLlwIV1dXs94C01Lr1q0RHx+PxYsXq+P0ej0WLlxoMl/evHnRpEkT/PTTT2pbQWOWuuR/lebNm8PNzQ3Tp09HTEyMyTTl2NSoUQMlSpTA7NmzLb6KITXbTS4XFxcAMHuNQVoei2bNmsHT0xNr167F2rVrUbt2bZMqk0oJYOLSyPnz5yd7G0QZikEaEZGmsGSN0t3+/fsxefJkNG/eHLlz58aRI0fg5+eHli1bmnRrf+rUKXTp0gVdunRByZIlER0djc2bNyMwMBADBgxA9erVk73N7777DgBM1t+6dWt8+umn+Pjjj/HWW29hypQp6NevX5Lr+fLLL7FhwwZ07NgRffr0QY0aNfD06VP8/vvv+PHHH1GlShUMGDAAP/30E3r16oWTJ0+iaNGi2LBhAwIDAzF//ny4ubml8Igl3/vvv4/69etjzJgxuHXrFsqXL49NmzZZbAv1ww8/oEGDBqhUqRL69++P4sWL48GDBzh8+DDu3r2Ls2fPpmjb7u7umDdvHvr164datWrh448/Rq5cuXD27FlERUVh2bJlsLOzw9KlS9GqVStUqFABvXv3RsGCBXHv3j3s2bMH7u7u2LZtW1odDhPOzs4oX7481q5di9KlS8PT0xMVK1ZExYoV0+xYZM+eHe3bt8eaNWvw4sULzJ4922S6u7s7GjVqhJkzZ+Lly5coWLAgdu3ahZs3b6bHLhOlHQZtRESawGDtTfH/pUFv4vYLFiwIe3t7zJo1C5GRkShWrBimTp2Kzz//HNmMXrZdpEgRNGzYEJs3b0ZoaCjs7OxQrlw5/PjjjxgwYECyt/fgwQNMmTIFq1atgoODgzo+b9682LhxI0aMGIG///4bbdu2VTuUsMbV1RUHDhzAxIkTsXnzZixbtgx58+bFO++8o75c29nZGXv37sWYMWOwbNkyREREoEyZMvDz81NfZp1e7Ozs8Pvvv2P48OFYuXIldDod2rZtizlz5qBatWom85YvXx4nTpyAr68v/P398eTJE+TNmxfVqlUzqaKXEn379kXevHnx7bffYsqUKciePTvKli2LESNGqPM0adIEhw8fxpQpU/D999/j+fPn8Pb2Rp06dTBw4MDX2v9XWbp0KYYOHYoRI0YgLi4OEydORMWKFdP0WHTu3BlLly6FTqdDp06dzKavXr0aQ4cOxQ8//AARQfPmzbFz504UKFAgrXaTKO0wSCMi0hSdpGevBgQgoXqfh4cHwsPD4e7ubnGemJgY3Lx5E8WKFTPtBl2vB4KDgVd0MZ8hHBwAHx/gNTp3IKLUs3qdIEorffsCv/4KuLoCQUHAK6qKExFRyiUnNlCwZE3r7O0TAiQt9BpnZ8dAjYiIiIgogzBYexPY2zNIIiKi9GfcdT+rRBIR2Rx7gyQiIiIiItIgBmtERESUgC/FJiLSFAZrREREREREGsRgjYiIiBKwZI2ISFMYrGkM36RARNbw+kDprk4dwNExoet+IiKyOfYGqRHZs2cHAERFRcHZ2dnGqSEiLYqKigLw3/WCKM317QvUrw/8/3eNiIhsi8GaRtjb2yNnzpx4+PAhAMDFxQU6VkMhIiSUqEVFReHhw4fImTMn7PkqD0pPnp5A9uyAXm/rlBARZXlZIliLjY3FhAkTsGLFCjx79gyVK1fG1KlT8e67775y2Xv37mHEiBHYtWsXDAYDmjZtinnz5qF48eJpnk5vb28AUAM2IiJjOXPmVK8TROnG3R2IjAQcHGydEiKiLE8nWaARRJcuXbBhwwYMHz4cpUqVgr+/P44fP449e/agQYMGVpd7/vw5qlevjvDwcHzxxRfInj075s2bBxHBmTNnkDt37mRtPyIiAh4eHggPD4e7u/sr59fr9Xj58mWy94+IMr/s2bOzRI0yhsEA3L+f0G4tZ05bp4aIKNNJSWyQ6YO1Y8eOoU6dOpg1axZGjhwJAIiJiUHFihWRN29eHDp0yOqyM2fOxOjRo3Hs2DHUqlULAHD58mVUrFgRo0aNwjfffJOsNKQ0WCMiIrKpuDggWzbAjv2QERGltZTEBpn+KrxhwwbY29tjwIAB6jgnJyf07dsXhw8fRnBwcJLL1qpVSw3UAKBs2bJ45513sG7dunRNNxERkc04ODBQIyLSgEx/JT59+jRKly5tFrXWrl0bAHDmzBmLyxkMBvz777+oWbOm2bTatWvj+vXriIyMtLhsbGwsIiIiTAYiIiIiIqKUyPTBWkhICPLnz282Xhl3//59i8s9ffoUsbGxqVp2+vTp8PDwUAcfH5/UJp+IiIiIiLKoTB+sRUdHw9HR0Wy8k5OTOt3acgBStexXX32F8PBwdUiqqiUREREREZElmb7rfmdnZ8TGxpqNj4mJUadbWw5AqpZ1dHS0GOQRERERERElV6YP1vLnz4979+6ZjQ8JCQEAFChQwOJynp6ecHR0VOdLybKJKR1usu0aEREREVHWpsQEyemUP9MHa1WrVsWePXsQERFh0snI0aNH1emW2NnZoVKlSjhx4oTZtKNHj6J48eJwc3NLVhqUjkjYdo2IiIiIiICEGMHDwyPJeTL9e9aOHj2KunXrmrxnLTY2FhUrVkTu3Llx5MgRAMCdO3cQFRWFsmXLqsvOmDEDY8aMwfHjx9VeIa9cuYIKFSpg5MiR+Pbbb5OVBoPBgPv378PNzQ06ne619ykiIgI+Pj4IDg7me9s0iPmjXcwbbWP+aBvzR7uYN9rG/NE2W+SPiCAyMhIFChSA3Stek5LpgzUA6NSpEzZv3owRI0agZMmSWLZsGY4dO4aAgAA0atQIANCkSRPs27fPpDgyMjIS1apVQ2RkJEaOHIns2bNj7ty50Ov1OHPmDLy8vGyyP3zJtrYxf7SLeaNtzB9tY/5oF/NG25g/2qb1/Mn01SABYPny5Rg/fjxWrFiBZ8+eoXLlyti+fbsaqFnj5uaGvXv3YsSIEZg6dSoMBgOaNGmCefPm2SxQIyIiIiKirCFLBGtOTk6YNWsWZs2aZXWevXv3WhxfqFAhrF+/Pp1SRkREREREZFmmf89aZuTo6IiJEyfy9QAaxfzRLuaNtjF/tI35o13MG21j/mib1vMnS7RZIyIiIiIietOwZI2IiIiIiEiDGKwRERERERFpEIM1IiIiIiIiDWKwRkREREREpEEM1oiIiIiIiDSIwRoREREREZEGMVgjIiIiIiLSIAZrREREREREGsRgjYiIiIiISIMYrBEREREREWkQgzUiIiIiIiINYrBGRERERESkQQzWiIiIiIiINIjBGhERERERkQYxWCMiIiIiItIgBmtEREREREQaxGCNiIiIiIhIgxisERERERERaRCDNSIiIiIiIg1isEZERERERKRBDNaIiIiIiIg0iMEaERERERGRBjFYIyIiIiIi0iAGa0RERERERBqUzdYJyAoMBgPu378PNzc36HQ6WyeHiIiIiIhsREQQGRmJAgUKwM4u6bIzBmsZ4P79+/Dx8bF1MoiIiIiISCOCg4NRqFChJOdhsJYB3NzcACRkiLu7u41TQ0REREREthIREQEfHx81RkgKg7UMoFR9dHd3Z7BGRERERETJah7FDkaIiIiIiIg0iMEaERERERGRBjFYIyIiIiIi0iAGa0RERERZWKVKlTBz5kxbJ4OILGAHI0RERERZ0L179xAeHo7Hjx8jNjbW1skhIgsYrBERERFlQcWLF0dcXBzy5s0Le3t7WyeHiCxgNUgiIiKiLCguLg4AoNfrYWfHW0IiLeKZSURERJSF6fV6lqwRaRSDNSIiIqIsjMEakXYxWCMiIiLKwiIjI1kNkkijeGYSERERZUFLlixByZIlAYAla0QaxWCNiIiIKAvq378/goKCkD17dgZrRBqV6YO158+fY+LEiWjZsiU8PT2h0+ng7++f7OXDwsIwYMAAeHl5IUeOHGjatClOnTqVfgkmIiIiSkfx8fG4du2a+tlgMLAaJJFGZfoz8/Hjx5g8eTIuXbqEKlWqpGhZg8GANm3aYPXq1RgyZAhmzpyJhw8fokmTJggKCkqnFGvL3bt3cePGDVsng4iIiNJIx44dUapUKdy9excAOxgh0rJMH6zlz58fISEhuH37NmbNmpWiZTds2IBDhw7B398fEydOxKeffoq9e/fC3t4eEydOTKcUa8vw4cMxaNAgWyeDiIiI0oCIoF27dgCAU6dOwWAwAGCbNSKtyvTBmqOjI7y9vVO17IYNG5AvXz60b99eHefl5YVOnTph69atiI2NTatkapabmxv+/vtvzJs3z9ZJISIiotd0/fp19OzZEwDw4MED6PV6AGA1SCKN4pmZhNOnT6N69epmF7DatWsjKioKV69etVHKMk54eDgAwNXV1cYpISIiotd18uRJ9f/o6GiWrBFpHIO1JISEhCB//vxm45Vx9+/ft7hcbGwsIiIiTIY3VUxMDACgWrVqNk4JERERva7169ejdOnSyJUrF6Kjo9WSNQZrRNrEYC0J0dHRcHR0NBvv5OSkTrdk+vTp8PDwUAcfH590TWd6evnyJQDA09PTxikhIiKi1xEbG4uNGzfi448/hrOzM2JiYlgNkkjjeGYmwdnZ2WK7NKW0ydnZ2eJyX331FcLDw9UhODg4XdOZnhisERERZQ5Pnz4FANSoUQPOzs6sBkn0BmCwlgSlJ8nElHEFChSwuJyjoyPc3d1NBq2Ii4tD6dKlsWnTpmTNP2zYMADQ1D4QERFRyinBmqenJ5ycnFgNkugNwGAtCVWrVjXp1lZx9OhRuLi4oHTp0jZKWeplz54dQUFBePLkSbLmb9euHUSE1SOIiIjecMbBmlKyxmqQRNrGM/P/hYSE4PLly2q1PwDo0KEDHjx4YFIK9fjxY6xfvx7vv/++xfZsWqfT6ZAtWzYsXLjQZF+TIiJo3749tm/fns6pIyIiovRy9epV6HQ6FChQwKzNWlIla+vXr4dOpzN7eE1E6S+brROQEb7//nuEhYWpvTdu27YNd+/eBQAMHToUHh4e+Oqrr7Bs2TLcvHkTRYsWBZAQrNWtWxe9e/fGxYsXkSdPHixatAh6vR6+vr622p3XFh8fj3PnzmHz5s3o1KnTK+fX6XTYu3cvateujffeey8DUkhERERp7eTJk6hatSrc3d2RK1cu2NnZWW2zFh8fj6ioKLi7u2Pq1KkAEjoosdZen4jSR5YI1mbPno3bt2+rnzdt2qSWlnXr1g0eHh4Wl7O3t8eOHTvw5ZdfYsGCBYiOjkatWrXg7++PMmXKZEja05O1/bYkd+7cavUJIiIievP88MMPajOIrVu3AoDaCVriYK1Dhw7qPIqYmBgGa0QZLEtUg7x16xZExOKglKL5+/ubfFbkypULS5cuxePHj/HixQvs3bsXNWvWzPidSAcikux5HR0dk90pyYsXL7Bx48bUJouIiIjSgU6nQ548eUzGWWuzljhQA6y/soiI0k+WCNbIsri4uGTPe+HCBVy/fh2nT59+5bwzZsxAhw4dsHfv3tdIHREREaW3lHTdr7y6iIgyDoO1LCwlwdrOnTsBAHfu3DGbJiK4d++e+jl79uwAgKZNm6ZoG1rVt29fHD9+3NbJICIiSnOWOhixVvOGwVrmc/nyZdSrVw9Xr161dVLICgZrWVhKAqlGjRoBSKjimNiGDRtQqFAhXLx4EQBQsGBBAAlVSx0cHEzmvXDhAt566y2EhoZa3M7GjRsxc+bMZKcrvYkIfv31V/Tq1cvWSSGiFLhw4UK6b+PZs2fpvg2i9GapGuTz58/V/9966y388ccfANK3GuTly5fx9ddfp9v6ybJHjx7hyJEjKWoaQxmLwVoWllSwduzYMezbt0/9rDQojoqKMps3MjISwH/12+Pj46HT6dCzZ0907NgRY8aMUeetWLEiDh8+jKVLlwIA+vXrhx9//FGdfvz4cSxevPg19iptpfdTxMjISERGRmLq1Km4efNmumwjICAAx44dS5d1v4lCQ0MxY8aMTPPD5OfnZ/XhR1a1detWVKxYEYGBgem2jYCAAHh6euLcuXPptg1688THxyc7oHny5Ikmzl1LJWuXL19W///6669RrFgxACn/Tfz4448xatSoZM3bvXt3TJs2DbGxsSnahi0EBwfDy8sL3333XZqsb+XKlfjtt99eez379+/HjRs3UrRMREQEAMDNze21t0/pg8FaFmbpghgREQG9Xo/58+dj0qRJ6nidTgcXFxeLJWtKIPfpp58CAF6+fKlWhQwPD8f169fNlhk/fjxOnz6NS5cu4dChQ+r4kiVL4s6dOxl6sY6IiEB8fLzFaUpwqtPpACS8EF2n0yEsLCxZ6/7ll18wfvx4q9Nz584Nd3d3jB8/Hh07djSbHh8fr/6Q3rx5E+fPn1enPX/+3OKxNRYZGYlmzZqhTp06OH78uFr6+SY4f/48rly5kubrHTJkCMaMGYPHjx+r41ITuAUGBkKv18NgMKRLOpMjPj4effr0Qdu2bW2yfa36+++/ASS8ALhUqVLJ7hwpJQ4ePAgg4abthx9+wOzZs9N8G4m9fPnS4jXYlvbt24dnz55ZvInX6/XQ6XRYt24dHjx48MoehfV6PUJCQtIrqRmiV69ecHFxsXpNCQ0Nxbhx43Dnzh00adIEw4YNA5DQbsy4OUFiV65cgZeXV7pUyU/cZu3YsWOoXbu2Ov3WrVtwcnICkPJgTa/XJ/thobINpbdKLbt27RoeP36M4cOHp8n6/P39sWXLltdeT+PGjVGuXLkULaM8cHd3d3/t7VP6YLCWBSkX+5s3b2Ly5MkICAgAkHDD6uHhgS+++AKurq4m1SCAhMBl+PDhZjcLSgmdcqE1Dtby5MmDDRs24OzZs2oAplwQfvzxRxQrVgwrVqxQn4CXLVsWZcuWNbmRTk/bt2+Hh4cH3n77beh0OvWHVnn5Z+Jg7ddffwWQ8GLRXbt2qeux9sPcr18/TJ06Ve0aOSgoCGPHjsW8efMwd+5ckxeTnzx5Ev/884/J8rlz50aDBg2wZs0aFC9eHJUqVVKnrV27FiVLljR5SemOHTtMnogqpZr29vaoXbs2KlSoYJZGEUHPnj0tvvRcRDBhwgT1O5JaqQm+Bw0ahM8++wzvv/++yT4Ze/nyZbIDLb1ej5cvX6qBdu3atbFq1SpERkaiaNGiKerB9OLFi2jcuDEWLVoEe3t7lC1bFpcvX8bLly9x9+5drFixAv7+/gBgkj8xMTFqYCciuHnzJv7991+TfDduFzp58mSsWLECd+7csbif4eHhABLOaZ1OhwULFpjNs2jRIpQqVQqhoaE4ceIEfH19bV6qKCLqQ5qnT5+iWbNmaXqDppy3fn5+uHbtmlqFCwA2b94MR0fHFL/c9+7duybHTbk+jh49GkOGDMGcOXPMljEYDOqNUFpo27YtXF1dTcZFR0en+El6crx48QJ169bFrl27EBMTg9u3b+PChQvYsWOHOo8ScHh6euLtt99WHywp+vTpAwDo3LkzvL294ePjY7adrl27YuHChQCAmTNnokCBAoiKioLBYMCoUaOwYcMGs2XCwsJQp04d9bpqTEReq3qqiOC7775LVmdalqxatQoA8OGHH6J58+ZmweewYcPwzTffoEiRIvj8888RGxuLuLg4fPLJJyhUqBBOnDhhcb1OTk54/PgxHj16lObnr7e3N+bMmYPChQsDgPpw46OPPsLQoUNRrFgx9aFsUg8LYmJisG7dOvXznTt3cPLkSZw+fRqxsbF49OhRkunIkSMHgIRqeYnvP1Jr/vz50Ol0qTpmSmCaeNnQ0FBUr149TdKnePDgAfLlywcg4Xr+Onn8qiYu169fx/Lly9XPERER0Ol06vE3dufOnXSr9UMpIJTuwsPDBYCEh4fbOikqNzc3AaAOf/75p9y9e1cASNmyZWX48OFSrlw5k2WUef38/EzG//zzzwJADAaDiIjMnDlTcubMKSIiQ4YMEQBSsGBBuX//vgCQbdu2Sf78+QWAdOjQQV2vLUyfPt3kOBgPL168kMuXLwsAqVSpkoiIlC9fXgBImzZtBIBky5ZNfvjhB3n33XclKipKXe+lS5fk6NGj6ro8PT1FRKRBgwbq8sr/xsO6deskIiJC1qxZIyJiMV0iImvWrBF3d3cBID4+PvLzzz/Lrl271Hl8fX1FROTDDz+0uHxihQoVknHjxqmfT5w4IcWLF5dPP/1UAEidOnVEROTGjRsyZswYuXfvnsTGxsqVK1ekWbNmMn/+fGnSpIk8fvxY4uLixN/fX1atWiX+/v5y/fp1ASB//fWXxW0HBwdLfHy8+jk8PFzeffddcXV1VdO8bNkyi8sa7+vRo0fljz/+UKeFhITI1KlT5YMPPhCDwSCDBg0SDw8PyZ07t7rev//+Wx49eiS5c+eWGjVqyPLly+XBgwfy4MEDs21duXJFdu7cKbdv35bvvvtOHBwc1O8+APn+++9NjnP37t3l3r17AkB27txpkv/h4eHyww8/mOXNW2+9pf6fL18+8fLykpw5cwoAWb58ufz000/SuXNn8fT0lEOHDsm1a9fM1lG+fHn5+eefTY5R4iE0NFRERE6fPi2jRo2S0NBQOXv2rNk+R0REqOe18lcRHx8vrVq1kilTpqjjNm3aJP369VM/R0dHy+rVq9VlL168KBUqVJClS5eKTqeT1q1bS5UqVQSALF26VERE9uzZIwcPHpSgoCDR6/UiIhIXFyfnzp1L1jW0Vq1a6n5+9tlnAkCGDRsmIiJhYWHqtF69ekl0dLTZ8nfv3jXZ1ydPnsiiRYsEgIwdO1YASNGiRaV3794mx7R06dKyfft22bhxo/j6+kq3bt1k+PDh6jVzwoQJcunSJYtpjo2NFRGRM2fOqOvbvn27hIaGyvfffy/ff/+9lChRQp02YsQIefbsmYSHh8v//vc/k+tvYg8ePLC4n8YOHTokFy5cMBkXHx8vAOTnn3+WfPnyqdsuUKCAOk/79u1NjsGJEydERESv18vLly8tfvf279+vLr9161Z1fFBQkHTp0kUAyMmTJ2XFihXqtKioKDl69Ki63Pbt2wWAes2KiIiQbt26yYIFC+Trr78WACb7PGzYMPnpp58kPDxcbt68meSx+Pzzz02ulQsWLFCvX1euXDGbf9OmTTJ79mz5/vvvJTAwULJnz26yv59//rnJ/O3atVOnbd68WbZu3SorV660eo1+8eKFbNmyRa5evWpyrRER8fPzk1OnTlndF4PBIGFhYUnuryURERFy+PBhk3HR0dECQKpVq2Y2f2hoqLz77rvi7e0tAOTcuXMiIrJ8+XI1zcpvkTWnT59W523RooW4urpa/U6nRN26ddX1DhkyRH799ddkLbdv3z4BIBcvXpQ6depI06ZNRURk27Zt6voaNGggpUqVsrqOsLAwefHiRbK25+XlJVOmTJHAwEABIL/99luyljMWGxubrPupQoUKCQD5999/BYD0799f3N3dLc6bUfdn+/btk9u3b6f7dh4+fJgm36u0kJLYgMFaBtBisJYnTx6THwcnJyc5fPiwABBnZ2cZOHCg+Pj4mCyjzDt79myT8T/88INkz55d/Txt2jTx8vISkYQfSQCSP39+uXHjhnqDrKzryJEj6v8rV65M/x1P5LvvvrN4Q6HcPCj/V65c2eTGOG/evCbz1q9fX16+fKmu1zjQUIarV69KnTp1BIC89957asBqPIwcOVLeeecdq2kCIAcOHLA43svLy+Tz0KFDpV69embzWVK/fn3p1q2biIhERUWZLVOmTBn58ccf5b333ksybS1atJDFixebjBs3bpwAEDc3NxkwYID88ccf8ujRI/nhhx+kePHiZukyvklThoULF8oXX3whISEh6nzK98nBwUGdr2rVqiKScJPi7OwsQMJNtIh50DJ48GD1ot2qVSt1/MyZM8Xe3t7kZs/SMalUqZLJtkuWLGky3Th469mzp8TExKifs2XLluRxtDRMmzbN5LOnp6ecOHHC6vynT5+2uN8AJCAgQL0ZNx6OHj0qp06dkj179qjXrW+++Ub27t0rAOTGjRsSHx8vY8aMkY4dO6rLJb4xj4+Pl7i4OKlataoAkEuXLsnt27elUqVKAkAOHz4sOp3OZJlRo0apN3uJ8+inn34SALJjxw6T7+3cuXNlxowZUrhwYVm1apVJvgOQVatWib29vZrGTZs2maw/MDDQZH3GNzuHDx+W1atXm5ynygOS1A7du3eXv//+W0QSbn5nzpypBhcTJkxQg0FlMP5evmo4dOiQfP311yYPjUREateuLX379rV6DTTOu8jISJNpbm5uUr16dZPtODg4qNN79eplMs3f319ERPbv3y+5cuWymM569eqpyxuPNz62/v7+MmPGDPVz2bJlBYB89NFHsmvXLvn999/VaZ06dZL9+/ebbad+/fqycOFCEUkI4Pv16yelSpUSwPI18OTJk/L06VOTdfTr189svcrDIRGRx48fvzJf2rRpI7du3VIDWePzxtpw8eJFdRuXLl1Sz1lleoUKFUSv14urq6vMnDnTat6OHz9eAIher5e4uLjXvgdRtt+rVy9Zvny5PH/+XO7evWsWbAYEBJhs33gQEfW7ERcXJ/Hx8SYPKQCo14G//vpL4uLiZN68efLw4UOLaXr69KmIJDwgUG72IyMjJTg4WEREWrRoYZaG1atXy+XLl2XlypUSFhZmcvP+7NkzOXfunEyaNEkAyJYtW9TlZs2aZbKezp07S5EiRSym66uvvhLgvwe9lhgMBqlQoYJMmjRJdDqd+Pv7q79/9vb2MnnyZOnfv7/069fP5GHnv//+K76+via/UXfv3pUaNWqoafv222+lUaNGIpIQfI8YMUKCgoJM8tH4wUT58uXN0me870DCb3ji60tS+3bkyBF58uSJODk5qQ8YFPv27ZMGDRqIg4ODGAwGARLuEz/66CPp3Lmz+qAusQkTJqjnUlKCgoJk6tSp0rp1azV/lYd1ynXB1hisaYwWg7UCBQqYnIRdu3YVETH5Yc6VK5fJMsr4mTNnyoULF2TFihUSHx8v8+fPFxcXF3F2dpZp06bJxIkT1aeva9asUZdbv369AAnBxtq1a+Xjjz8WEZHmzZur86TmaVJqhIeHy9ixY2XmzJlWfzB/++03k88FCxa0Ou+oUaNk9+7daomMcemNtRsW4yfliX/cX/VjnpJh8ODB0rRpU5Mfy8T69OkjAGTAgAHyxRdfJLm+xEGJ8uOX1LFMPCg37cZDzZo15cqVK7Jq1SqzaZ06dVL/b9mypdlNojJ06dJFNmzYYDLuww8/NHlAYJy/48aNk2XLlsnChQtNphnfkIaEhMjAgQPNlq9QoYIAkLfffttsWvPmzdUSIyDh5ibxA5KUDj169DAbZxyYTJkyxWTal19+KSKWg7UGDRqo6U/JsGTJEovjd+/ebfL54sWL8s0336iflafUyrB//36zhwuDBw9+5fZHjhwpIglB1eHDh6Vp06YmDxCUEjAliDYu+Zw7d64sXbrUZH21a9eW+fPny6ZNm+TQoUMmN2M7dux4rfxKajh58qR4eHiky7qVgNZgMEjfvn0FSAgET506JXfu3JEVK1ZI6dKlZfXq1fLpp5+qNR6AhFIz5SbpxIkT4urqavFm9/Lly9KwYUM1GAcSblz37t0rIiI3b95UH9QlHj744AP13LK2D8WLF5e8efNKtmzZ1NoZxsOIESNMPicOwo2H58+fS7NmzUzGRUREyMKFCyU+Pl5++eUXq9dia4Ni1KhRAsCsNE0JwJXvmPLwLql9Nh6MH/wpDzTPnj1rMs+6desEgBQuXFimTp1qdk1fvXq1Om94eLiULFlSRo0albIfykQSp1O5xjk5OZmM9/f3V0ttLOWH8n/hwoVfeSyUc7pVq1byyy+/SMWKFaVjx45y48YNmTdvngCQCxcuqCWWxg/73N3d1dowSQ2LFy+WsLAw+fTTT9X12NnZCQAZM2aM2fxDhgwRJycncXZ2Fk9PT4mIiJDJkyfLmTNn5MCBAyJieg+QWGBgoMyfP1994KgM169ft1jjwni4ceOG+Pn5qZ8fP34sIiLz58+3+l09dOiQAJCffvrJ5CGIMjRt2lSmTp0qJ06ckNu3b0uDBg3k3Xfftbi+8ePHm+zLkSNHZNy4cTJ69GipX7++uLm5ybfffqvuh/Fvt3FQbLxO49oQyqAE24pdu3aZPMhWCg1u3rypBqEiCcF2jRo11BopAOT27dsybtw49bvUs2fP1zoP0gqDNY3RYrBmfAIBUAOnDh06iLe3twwbNsyktEzkv5Nr8uTJMnPmTHFzcxODwWByk+7p6Sljx45VnzYZDAb1ojVo0CABIMeOHTNZr/HNwPLlyzNk/y0FJOXKlTP5nLiEK6kflkaNGqn/K6VnH3/8sdX558+fb3JMR4wYoZbWWfpxACBNmjQx+Wx8M5zUMGfOHJNtGd8IKDZu3JisdSnHJXHgoFS7S+46jAfjEqj333/fLOgrWLCgVKxYMVnrmjt3rlnpjFJNLPEwe/Zs9f+1a9eaTPP39xeDwfDKH05XV1d58eKF+rly5coyZcoUiY6OtnoDqDxxTe2Q+EELkHAjYzAYJDIyUn7++Wf1AciMGTOkYMGC0qZNG/nll1/MbvjSajC+ObU0JD6+K1eulCJFipiMM35ok9RQrFgxdV4fHx9p0KCBtGjRQt555x31hsXFxUUAqFXYlKF+/fqvXL/xj/yrBuPzPqWDcZXXtJxfuYkxDjaV4CZxaSbwX1VRADJw4EAxGAxy7NgxNeC19JDAeFAe3pw4cUJq1Kgho0ePFhGRW7duWZx/wIAB6nXnVfvSpk0b+fbbb83GW6q5YG2YO3euWXVNSwGgtcHf398sDTdu3JALFy6owVri725cXJycOHFC+vTpY1J7wLh0XRmMg3YvLy+ZMGGCeny6du2qpj3x8SxSpIjkzJlTGjZsKO3btze7phs/qLhz5460b99emjRp8srfxn/++Uc2b95scVpqvud//fWXyeekAmtLg6XrXeLhxx9/TFXalKFu3bqSI0eOZM/v5+cnv/zyi4wZM0befvtttVaSUoqf+FhFRkaqyxg3jzB+YNW/f38REXn//fdNlu3fv7/J5ylTppgEZso9k3KOV65c2WT+999/X62ZkPiaqwx58+aVrl27Juv6CCQ8cLlz545JyZy1IXENohkzZsiyZcteudyUKVNkzpw5am0aS/M0btxY/V9hXE1VGXbu3CkA1HNp8ODBrzwPMgKDNY3RYrAmYtqeqXPnziIisnfvXtm5c6f65CYuLk6dP/GTsipVqoiIyNSpU03Gd+3aVUqWLKkuFx0dLZ6enmrwk7htzJ07d9Rlrf1IpLXu3bubndAtWrSQY8eOWb05SXwRfdUFatOmTfLRRx+ZTdu6dauaDmXc9OnTJTw8XGrWrCldu3ZVAzPjJ07BwcEm6zl48KDJZ0vbAhKCNb1er342rkqoePDggdlyK1eulGPHjsnLly9N2hP8+++/IiLSo0cPKVmypHh4eKhVcV510/7uu+/K2bNnxdvbW3Q6neTMmdPkxwswrSJYt25dKV++vDg6OibruIuYlxrv3LlTZsyYYVaSNGnSJBk5cqR07tzZpIpro0aN5MWLF1afVCrD8OHDZdeuXSIiamnoxo0b1WP68OFDsyqhANSqGKVLl0729ynxYPy9sHRdUbahVKP77rvvzL5zKRmsfbeU/Lb29Lpy5cqSI0cO8fX1NSsNTaqkWhkslVoaD82aNZOKFSuKSMKDobi4OPnxxx/Vm+dvv/1WffquDMZVmENCQszWaakdIJBQOtioUSOTtqYiIpcvX5agoCCpVq2aOr5YsWLq/5ZukPLly2e1BL1bt24WSzCTal+beLh06ZLJ9/ePP/6wOF+BAgXk1KlTJvsjktBe7bvvvpOaNWtKjx495PHjxxIaGmpxHcp1cevWrWJnZ6c+uFF+QxLfbBq3jTUeb6mK9dChQ2XChAkC/Fcz41XfSWUwfkiTnNIVS4Py0DFxab3xUK9ePZOaAmfOnFH3b9asWSbtwy2VNi5dulRGjhwpBw8eNDmHleqPSvXQZ8+emS3bpk0b6dGjh7z11ltm14DIyEh1vnPnzsmoUaOkRIkSZvMl1qNHD6lfv77FaUobbkuDtRtwpd1uSgfjUifjWgppOVhqJmBpSPwARylBVhgHxkBCyW1K0/L8+XMxGAxmVeQT1/oA/mtaoAyPHj1S/y9atKjZ/K/6XQYgn3zySZLTE5eevs6QnGu/MtSsWVPOnz//yvmio6PVa4JS3TnxoNz3de/e/ZXnQUZgsKYxWg3WjOvOd+zY0WSaUoXi+fPnJuONv/jt2rUTEZGJEydKwYIFTW5WEndOYnzyXL582SwtSknf7t2703gvLbN0E6i08Tl37pzZtP3795s9nf3ggw8ESHiKf+zYMbXk0FhMTIwsXLhQ1q5dqz51O378uDpdWZfSScOuXbskMDBQ/WH++uuvpUePHvLDDz+YzA8kVKUy/py42qYyrF271uSHXgm2EtPr9Wo9/cT7ISKyc+dOtUTQWM+ePdUOUX799VeTbSvffSDhCXxISIjo9XpxcHCQ77//Xp4/fy7Pnz+Xjh07mjS879y5swAJnbwoJZXJGUTE5MfKuBRRr9fL0KFDJSAgQHLnzm1Sdci4rcqDBw9MnrxbK8E0LgVWvht79uwxOz7GDzNGjhwpBoNBZsyYIbdu3ZKgoCCr7SZXrVolERER8vDhQ5k9e7b6A7dx40aT4Noa44cxxo3qjasme3t7y927d+X48eNy9epVsxvgwYMHS5UqVazefJQpU0YAWK3iuXPnTmnUqJF06NDB5Ptbrlw5i1VLEw+dO3c2u0k3Hj799FMpWLCg2b4r1X43bdokImJSDVPpxEI5F5T0FC1aVL744gsREcmePbuMHz9e/S4lbhcEJLTfsOTq1avy+PFj8fLykvbt28uDBw9M2vQMHDhQypUrpwY5idtbbdy4UX244uPjIwUKFJBs2bLJsWPHzPbf3t5e9u7dK0OHDjW5nru6upp0pmJcTXXo0KFqqW9AQIC6fUtV6QICAkw69jC+9pw5c0Y+/fRTuXDhgtSvX1/9zVDa5J06dUo9bsZpnjlzpvz+++9y8eJFk/GtWrWSGzduSMOGDdVxX375pXqdUzr+UaYZnzdOTk5qW17lt8xSm0xLbdASD1evXpXZs2fLDz/8oFbbCgwMlO7du0twcLDZjXL79u1N1mvs6dOnahVz42H48OESEhKSZIcKiaufxsfHS9euXQX4L+ibMGFCkkGYcuwOHjwokydPlnz58lndnqJHjx7SoEEDq9MDAwNNqs7a29urD4MsVR221N5X2YfatWuLk5OTDBo0SI4ePWryeyHyX2dBW7ZskT179rwy74yHUaNGmQQ6vXv3VkuN69evLw4ODuo6jx8/nuS6jNdjMBjMOqhInLYLFy6o/7+qSYQyKB0qAaa1aF68eCEhISFJptE4MDcOci2VSlsbErelVB5mKjWOjB9AWRs++ugjk/akyhAaGmpyDJXfjb1791otgX+dYc6cORbHK/dobdu2feV5kBEYrGmMVoM145vjxNUolCeJSuNdhfEX/+7duyKS0JC2WLFiJidp5cqVTZYzfrp869Yts7T07NlTAJjcGKSnxFUet23bpk5Tei80HkTE7MlvTEyMnDx5Uh49eiQiCTcHiYNbY8rTXePvgfGFMbHx48ervQgqTp8+LUuWLJH169erN5rOzs5y7949tRMI48HPz08MBoPak1iZMmXk+vXrr3XskvLy5Uv59ddfpVGjRmr7om3btpn0rqjccG3ZssVs+ZYtWwoAWbNmjcyaNUuioqLM6vUnDpqVoUKFCiIi6o2opfUrihUrJmPGjFE/x8XFCZDQVkbkvx7glJ6+jL+7yv/GJaRKYKQE/Ikpy1iqgqqsU/l+ubi4mNXXF0loG9CkSRO1dzfj76Ylxt9xaw9djKtciST0bNe4cWO5deuWBAcHq+e20gmF8VPfxo0bq0G18XDu3DmJiopSe0HbvXu32o7D+OYiLCxMevfuLU+ePDFJ665du9QnwUq1POMn+sY9zM2ePVty5Mhhtu/Tpk2Tn376yWz8ixcvTJ5C79u3T3Lnzi337t2TfPnyyeTJk0UkoQOEGTNmqNe0J0+emKwnKChI7fHOGr1eb9JIXtnm6NGjpUSJEup35urVq1K0aFGpWbOmyfzvv/++7Nq1SyIjIyUiIkJExKyESOlFMvE2lGMzZ84cGTVqlEnpotL5g0KpNnT//v0k98d4/ZYo183E60+crkWLFknevHll8uTJJuOHDx8uIqadUqxatcrsmDo4OMiCBQvk5cuX0qVLF9m+fbsEBASIwWCQ8ePHm9QcUEpR169fL76+vhIVFaU+XVd6qj106JDcvHlT/Pz8LKY9qeMAJDwwMA5IElMesig3vn///bdJ77fWJO5ISuS/38nAwEBp3Lix/PPPP7J+/Xrp3bu3iCTUYmnUqJF6vimlWn/88YfMnTvX4rmSWPfu3ZMM1hT3798XvV4vN2/elJiYGHV84pIgg8EgCxcuVKsmJ74mJe5IQgnQRBJq87Rr106CgoLU3qqVIXGwD8Ckuvzy5ctNapQYMxgMZtv96quv1GC4fPnyJlVtr169Km5ubkl21GNcrV5pd7127VrR6/Um55+zs7PFIGrfvn1qepVeZI07FVE64bA0iPz3nVQeUrz99tsmzRvy5Mkj3bp1M1t22LBhotPp1Idily5dkr///lv9rbp06ZJ88cUXavXKhw8fWkyD0t+AwWAweThk3PdB4mXu379vsWqwtaFu3bomNRKUXi0TD9YCW6X5i6WSaFtgsKYxWg3WjJ/cGTf6FhH1JkXp4lth6UZh5MiRao97yhPtGjVqmCxn/CTOUjU85YlHcnr5SQvGPZX9+uuvJk/KElcJbNiwoYiYHi8XF5cUb/PSpUuyYcMGk3HK+hJXgUkOpWqiUtfdYDDIzz//LIcOHZLIyEiTrpeV7oDPnz+f4u2ktXv37knXrl0tdmOuVPUyDu6Mg2eF0lHEP//8I9WrVze5WVi9erUcOXIkyTRUqlRJhg4dajLO+Dz4888/BYBaatOiRQtZsmSJSe9vxjfKSinJjRs3LG7vwoULsmTJEqvp2bx5s3qOKD3qvcrp06etBoci/5Uw7tu3z2zaxYsXk1WKPX36dPW1E/b29iadmIiISWnusmXLzB4uJGbpxknx8uVLefbsmfr52rVrJiUPyrJK3uTOnVtu3rypVkVNCUvpcHJyUksIfHx8zBrSv659+/aJv7+/jB8/Xnx8fNRqenfu3JGXL19aDOQTGz58uPj7+8s///yjvurAmLJf7733nnrdEhFp27atOs24Mb6IqDeWST1oUmzdutXqAzWl91xLpcsBAQFqkLRixQrJlSuX+l16++231W7RRRIC6v3798uVK1csdrFdrFgxtV3cqyidRCTn2KaE8e/DtGnT1HHvvvuuyXwGg0F69uyZ6o6zDAaDtGrVSu005tq1a9KmTRuzIF0koRMJ5SZfOef1er08fPhQXr58KUuWLBGdTme1lz1Ft27dTL47qaEcm48++kgdp3T9n9Q1QETk+fPnFl+dYjAYTDoAEkn4XTMO2uLi4tReIZXvztChQ9US8+QICAiQ2NhYk2AtIiJCYmJikgyyjUt6laq/v//+u4j81/mH0u7dOLg/d+6cfPnll3LlyhU10FIe5CR+gGJ8/JQHm0qX+76+vuoDyo0bN8rDhw/Va+XmzZvl/Pnz6u+UcbOCQ4cOSadOndQHQtYowdqLFy/Ez89PPv/8czl69Khs27bN5GF34rQaN6VJ3Jum8l0MCAhQm58kVWX57t27Jg9rEwewyn2dpd5hAahVqpN63UJGYrCmMVoM1u7duydOTk7q03zj91OJ/HezeufOHZPxxl/80NBQtS2E0m5EqbvfuHFjs20qyyUurRMRtbe+xMFhelCe5IwZM0bat29v9kNuMBjEx8dH2rRpIw8fPlR/GJWqkwEBAWmWl3Z2dvLjjz+malmlDVtybu6VLngt/QhqiV6vNwvilPrqlroWTq2GDRuaNTI+duyY+oMVEREhhQoVktatW5vMEx8fL7Vq1TILBpWbYaWUNbXS8qby9OnT6o1kau3cuVN9muzq6ipz586VuXPnqu9SUzoLWLZsmcWHMIm96kYtKefPn5eNGzdKWFiYfPDBByZdqKeUn5+fWvogkvC969OnjxpoLF682GKQmxamTJki+fLlk6NHj0rx4sVNHjS8LuVG5+TJkyaBvHH1ssQ364sWLRJ7e/vXfvfQlStXrD4cEBEZPXq0euPo5uamVg9O6Stbrl27lux3h82dO1fKlCmTovUnh3GPekoJe1hYWJrmZUopx1e5qU3MWtOGxLp166Z2+Z5abdq0EUdHR7PxSvpq1aqV6nUfPnzYpFaDiKhV5dOKcr589913FkvoLXnx4oX89ttv8ujRI5PXFIn8F6wpDyyCg4Pl0aNHZr/HSg2GBQsWyJEjR8zOSaXGQYkSJSQiIkLGjBmj1gaxRCmdVV4FoTQ38fT0FCChtC25lOrJyb1OfPvtt2rzCGO3b9+2+Dvw8OFDtbS2WrVq0qZNG5OaHMpvsfJb+88//4hIwsNcJVAODAyU2NhY2b9/vxQuXNjslRJKkwblPcC2lumCtdjY2GQ99dMqLQZrIgmNYq2l6Z9//hEgobG9MeVLP2rUKHn8+LFawqF0NqIUSyd+eivyX2lWcl8SmV6Ui0VSpQDr1683e4KsXKwstblLDYPBoNb/T60HDx4k6+J5//59Wb9+fbKq31CCe/fuWayya0lwcLCMHTtWMy/bTA958uSRb775xmSc8nLi5H6HXydYyyy+/fZbs9eipJWoqCir1/SLFy/KunXrLKZHKT19HUqHGMZBsDElwFm3bp04OzurwZqlGzpKOaUtZsuWLS2WnlmrLZNY165dXztYs9SuSyShZNja9+N1PH/+3GqthtSIiIiQGTNmWLyPSQ6lzZqyr8o78hYtWiReXl4Wa5WI/Fcd38/Pz+J05V5SKan19fWV/PnzW02H0nmQcTt5pWT/jz/+SNFLqO/duye//PJLsudPSnJ/B5SH//7+/mqAfuPGDfniiy9Mvl/x8fFm7+BUGNeG8fX1FQ8Pj2S/Ky69pSQ2yAYNWbNmDY4ePYp58+ap43x9fTFt2jSICN577z2sWLECrq6uNkxl5tGvXz+r0xwcHAAAL1++NBm/fv16GAwGdOrUCQBQtGhRAED27NkBAO7u7gCA4sWLm61z8+bNmDZtGpycnF477a8jNDQUAODt7W11ng4dOpiNi4uLA4A0+/7pdDq89dZbr7WOvHnzJmu+/PnzW9wnsq5AgQLJnrdQoUKYNm1aOqbG9pydnREdHW0yTrlOKOfGq3z88cfYvn17mqftTeLg4JDs45VSzs7OcHZ2tjitXLlyKFeunNn48PBw9br9OgwGA4CE65olVapUAZBw/TT+XcmWTVO3IW+sO3fuoHv37li+fLnF6Z6enihRosQrv3siYjUPk8va8sb3dmkpR44cKFasWJqtz83NDaNGjUr18jExMQCgnotvv/02QkJC4O3tjU8++STV63V3d4fBYFCPr5OTk7otS5R7lRcvXqjjXrx4gRw5cqB169Yp2naBAgXQp0+fVKTa3MWLF9XrRVL+/PNPnD17Fq1atVLHFStWDLNnzzaZz97e3mQeY7lz51b/j42NRa5cuaxeI7VMU1fJOXPmoFq1aurnQ4cOwdfXF23atEG5cuWwcOFCTJs2DdOnT7dhKrMGJfhKfGFPfMNfsWJFODo6olu3bgCAbdu24eDBg7CzszNbZ+PGjdG4ceN0SnHyJSdYs0S5weDDAsqKrl+/bnZjrQRrsbGxyVrHqlWr0jxdbxoHBwezh2C29PLlS3h6er72epSbL0vXfgBo0aIFjh8/jho1aiA+Pl694VR+a+j1fP3113Bzc7M6vX79+rh27dor15MWwVpWV716dcTFxcHe3l4dl5z7DREBYD3YTTztVcFagQIFsG7dOpOHNEqwZkuWHhpZUqBAgRQ9NLVm0qRJOHLkCGJjY+Ho6Pja67MFTQVr169fR8+ePdXPq1evhre3NzZv3oxs2bLBYDBg48aNDNYyQHKfmOfLlw/R0dHqBaR48eIWS9W0pGzZspgxYwby5MmTouWUGyxbX+iIbMHSTXVKS9bov5I1rdwUz5o1S71JfB3KOqwFawBQs2ZN6PV6k3EsWUsbLVu2TLN1aeF7+aZLzUOI5ARrxpRgzdq1JEeOHOjYsaPJuMGDByMsLCzFaXuTTZw4EQDw2Wefqb9ZbxrrV1UbiI2NNakit2vXLrRq1Uq9mJcvXx537961VfKylJTchL1pF/bSpUtj1KhRKb5JGDJkCADeXBApihcvjgULFqS4lDorU66t8fHxNk7Jf9LiGv6qkjWF8tBL2Savp9qSFoE7vZ6UBGsikqKHZZUrV0ajRo1Sm7Q32ptcsqapYK1YsWLYvXs3AODEiRO4du2aydOiBw8esApaBuETc3MDBgzgDxmRkXz58mHo0KEpLqXOyjLrtTW5wZoSpCrXUgZr2qKVEt+sKKX3F+3atcOtW7dYlTiZWrdujf79+9s6GamiqavkwIEDMWzYMFy8eBF3795FoUKF8N5776nTAwMDUaFCBRumMOvIrDcURES2ZNweODNVqU5psKZgsKYtDNZsJ6XVIN3c3JJsp0imPvjgA1snIdU0dZUcOnQonJycsGPHDtSoUQOjR49We215+vQpQkNDMWjQIBunMmuw1hskERGlXvny5TFhwoQ3tu2ENa/qDVLBapDax2DNNlIarFHWobmrZP/+/S0WU3p6euLEiRM2SFHW5OrqikGDBqFQoUK2TgoRUaZRvnx5+Pr62joZaS45HYwALFnTOlb1J9IeXiXJIldXVyxevNjWySAiojdASqtBsmRNm1gN0nZYskbW2PQq+fbbb6d4GZ1Oh4CAgHRIDREREaVGSnuDdHZ2RqlSpd7IF9RmdgwWbIPBGllj02DN+E3sycUieiIiIm1JaclatWrVcPXq1XRPF6UMS9Zsj8efErNpsLZ3715bbp6IiIjSQHI7GFGCNXY3rk18IG47PPZkjabes0ZERERvnpRWg2RbNW1iyZrtsBokWaPZq2VkZCTCw8PVHwBjhQsXtkGKiIiIyJLk9gbp4eGBjz/+mC9S1zAGC7bBYI2s0VywtnjxYsydOxc3btywOo9er8/AFBEREVFSkluyVrRoUaxatSojkkSpwJI12+Pxp8Q0VQ3yxx9/xKeffoqSJUti6tSpEBEMHz4cY8aMgbe3N6pUqYJffvnF1skkIiIiI8kN1kjb2G7KdnjsyRpNXVUXLlyIFi1aYOfOnRgwYAAAoE2bNpg2bRouXryIyMhIPHnyxMapJCIiImMM1jIHlqzZDqtBkjWauqpev34d77//PoD/eoqKi4sDkFDPvV+/fli0aJHN0kdERETmktsbJGkf89C2ePwpMU0Fax4eHmq3vu7u7nBxcUFwcLA63c3NDaGhobZKHhEREVmQ3A5GSNtYFc92eOzJGk1dVStWrIizZ8+qn+vWrYvFixfj3r17CA4Oxk8//YTSpUvbMIVERESUGKtBZg6sBmk7rAZJ1miqN8hu3brhxx9/RGxsLBwdHeHr64tmzZqpXfVnz54dGzdutHEqiYiIyBiDtcyDwYJtMFgjazQVrPXu3Ru9e/dWP9evXx8XLlzAtm3bYG9vj+bNm7NkjYiISGMYrGUOLFmzPR5/SkxTwZolxYsXx7Bhw2ydDCIiIrKCHYxkDmw3ZTs89mQNH4ERERHRa2EHI5kDS9Zsh9UgyRpNlazZ2dkl60uq1+szIDVERESUHKwGmXkwWLAtHn9KTFPB2oQJE8y+pHq9Hrdu3cKWLVtQpkwZvPfeezZKHREREVnCYC1zYMma7bAaJFmjqWBt0qRJVqeFhISgbt267GCEiIhIYxisZQ4MGGyH1SDJmjfmqpo/f34MGjQIU6ZMsXVSiIiIyAiDtcyBJWu2w2CNrHmjrqo5cuTAzZs3bZ0MIiIiMsLeIDMP5qFt8fhTYm9MsHb+/HksWLCA1SCJiIg0hr1BZg4sWbMdVkElazTVZq1YsWIWLxJhYWEIDw+Hi4sLtmzZkvEJIyIiIqtYDTJzYMBgO6wGSdZoKlhr3Lix2ZdUp9MhV65cKFGiBD766CN4enraKHVERERkCYO1zIPBgm0wWCNrNBWs+fv72zoJRERElEJss5Y5sBokkfbwERgRERG9FgZrmQODNdthyRpZY9OStcmTJ6d4GZ1Oh/Hjx6dDaoiIiCg1RIRVIDMBtlmzHQZrZI1NgzVLL8FWvqSJLxg6nU594sNgjYiISDuKFCmCtm3b2joZlAYYLNgWjz8lZtPHYAaDwWQIDg5GpUqV0KVLFxw7dgzh4eEIDw/H0aNH8dFHH6FKlSoIDg62ZZKJiIgokZYtW2Lz5s22Tga9JlaDtB2WapI1mqqz8Omnn6JUqVJYuXIlatasCTc3N7i5uaFWrVpYtWoVSpQogU8//TTF642NjcXo0aNRoEABODs7o06dOvj7779fudykSZOg0+nMBicnp9TsHhEREZFmMWCwHVaDJGs01RvkP//8gxkzZlid/s4772D06NEpXm+vXr2wYcMGDB8+HKVKlYK/vz9at26NPXv2oEGDBq9cfvHixXB1dVU/29vbpzgNRERERFrGkjXbYbBG1mgqWHNycsLhw4fxySefWJx+6NChFJdqHTt2DGvWrMGsWbMwcuRIAECPHj1QsWJFjBo1CocOHXrlOjp06IA8efKkaLtEREREbxoGC7bF40+JaaoaZNeuXbFq1Sp89tlnCAoKUtuyBQUFYejQoVi9ejW6du2aonVu2LAB9vb2GDBggDrOyckJffv2xeHDh5PVBk5EEBERweoBRERElGmxZM12eI9J1miqZG3GjBl4/Pgxvv/+e/zwww9qN8AGgwEigi5duiRZTdKS06dPo3Tp0nB3dzcZX7t2bQDAmTNn4OPjk+Q6ihcvjufPnyNHjhz48MMPMWfOHOTLl8/q/LGxsYiNjVU/R0REpCjNRERERBmNAYPtsBokWaOpYM3BwQErVqzAl19+iR07duD27dsAEroEbtWqFapUqZLidYaEhCB//vxm45Vx9+/ft7psrly5MGTIENSrVw+Ojo44cOAAfvjhBxw7dgwnTpwwCwAV06dPh6+vb4rTSkRERGRLDBZsi8efEtNUsKaoXLkyKleunCbrio6OhqOjo9l4pe1bdHS01WWHDRtm8vl///sfateuja5du2LRokUYM2aMxeW++uorfP755+rniIiIV5beEREREdkSq0HaDks1yRpNtVlLD87OziZVEhUxMTHq9JT4+OOP4e3tjd27d1udx9HREe7u7iYDERERkZYxWLMdVoMka2xasmZnZwc7OztERUXBwcEBdnZ2r/yS6nQ6xMfHJ3sb+fPnx71798zGh4SEAAAKFCiQskQD8PHxwdOnT1O8HBEREZFWsXTHdhiskTU2DdYmTJgAnU6HbNmymXxOS1WrVsWePXsQERFhUsJ19OhRdXpKiAhu3bqFatWqpWUyiYiIiGyOwYJt8fhTYjYN1iZNmpTk57TQoUMHzJ49G0uWLFHfsxYbGws/Pz/UqVNHbUt2584dREVFoWzZsuqyjx49gpeXl8n6Fi9ejEePHqFly5ZpnlYiIiIiW2E1SNthqSZZo8kORtJSnTp10LFjR3z11Vd4+PAhSpYsiWXLluHWrVv45Zdf1Pl69OiBffv2mZwsRYoUQefOnVGpUiU4OTnh4MGDWLNmDapWrYqBAwfaYneIiIiI0gWDNdthNUiyRlMdjAQEBGDWrFkm43799VcULlwY+fLlw4gRI6DX61O83uXLl2P48OFYsWIFPvvsM7x8+RLbt29Ho0aNklyua9euOHbsGCZNmoThw4fj+PHjGDVqFPbv3w8XF5cUp4OIiIhIq1i6Y3sM1igxTZWsTZo0CUWKFFE/nzt3DgMHDkTlypVRsmRJLFiwAN7e3hg9enSK1uvk5IRZs2aZBYLG9u7dazbu559/TtF2iIiIiN5kDBZsg4EyWaOpkrVLly6hZs2a6ucVK1bA3d0dBw4cwNq1a9G/f38sX77chikkIiIiynweP36Mq1evMlizEVaDJGs0Fay9ePHCpMfGP//8Ey1btlSrHNaqVQu3b9+2VfKIiIiIMqUlS5YgLCyMwYKNMFgjazQVrPn4+OD48eMAgGvXruH8+fNo3ry5Ov3p06dwdHS0VfKIiIiIMiVWw9MGBmuUmKbarHXt2hWTJ0/GvXv3cOHCBeTKlQsffPCBOv3kyZMoXbq0DVNIRERElPmwZMe2GCyTNZoK1saNG4e4uDjs2LEDhQsXhr+/P3LmzAkgoVRt7969GDZsmG0TSURERJTJGAwGAAzWbIXBMlmjqWAtW7ZsmDZtGqZNm2Y2zdPTE6GhoTZIFREREVHmxpId22KwRtZoqs2asZCQEJw9exYvXrywdVKIiIiIMjUGC0TapLlgbevWrShbtiwKFSqE6tWr4+jRowASupStVq0aNm/ebOMUEhEREWUurAZpWwyWyRpNBWvbtm1D+/btkSdPHkycONGkSD5PnjwoWLAg/P39bZdAIiIiokyIwYJt8fiTNZoK1iZPnoxGjRrh4MGD+PTTT82m16tXD6dPn7ZByoiIiIgyL7ZZ0wYGa5SYpoK18+fPo1OnTlan58uXDw8fPszAFBERERFlfqwGaVsMlskaTQVrLi4uSXYocuPGDeTOnTsDU0RERESU+bEanm3x+JM1mgrWmjZtimXLliE+Pt5sWmhoKH7++Wc0b97cBikjIiIiyrwYLNgWjz9Zo6lgbdq0abh79y5q1aqFn376CTqdDn/99Re+/vprVKpUCQaDARMnTrR1MomIiIgyFaUaJNkWgzVKTFPBWpkyZXDw4EHkzp0b48ePh4hg1qxZ+Oabb1CpUiUEBgaiSJEitk4mERERUabCkh3bYps1siabrROQWIUKFbB79248e/YM165dg8FgQPHixeHh4QF/f3+0bdsWV69etXUyiYiIiDINBmu2xeNP1mgiWIuLi8Pvv/+O69evI1euXHjvvfdQoEAB1KpVC1FRUfj+++8xf/58hIaGokSJErZOLhEREVGmwt4gtYHHnxKzebB2//59NGnSBNevX1efKjg5OWHbtm1wcHDAxx9/jHv37qF27dpYuHAh2rdvb+MUExEREWUurIZnWzz+ZI3Ng7Vx48bh5s2bGDVqFBo2bIibN29i8uTJGDBgAB4/fowKFSpg5cqVaNy4sa2TSkRERJQpsRqebfH4kzU2D9b+/vtv9O7dG9OnT1fHeXt7o2PHjmjTpg22bt0KOztN9YNCRERElKkwWLAtHn+yxuZR0IMHD1C3bl2TccrnPn36MFAjIiIiSmdss6YNPP6UmM0jIb1eDycnJ5NxymcPDw9bJImIiIgoS2GbKdvi8SdrbF4NEgBu3bqFU6dOqZ/Dw8MBAEFBQciZM6fZ/NWrV8+opBERERFleqyGZ1s8/mSNJoK18ePHY/z48WbjBw8ebPJZRKDT6aDX6zMqaURERESZHqtBagOPPyVm82DNz8/P1kkgIiIiytJYsmNbrAZJ1tg8WOvZs6etk0BERESUpTFYsC0Gy2SNzTsYISIiIiLbYjVI22KwRtYwWCMiIiLK4hgsaAOPPyXGYI2IiIgoi2M1SNvi8SdrGKwRERERZXGsBmlbLNkkaxisEREREWVxDBZsi8efrGGwRkRERJTFMVgg0iYGa0RERERZnFINkmyDwTJZw2CNiIiIKItjsGBbPP5kDYM1IiIioiyOwYI28PhTYgzWiIiIiLI49gZpW+y6n6xhsEZERESUxTFYsC2WbJI1DNaIiIiIsjgGC7bF40/WMFgjIiIiyuJYDVIbePwpMQZrRERERFkcS3Zsi9VQyRoGa0RERERZHIMF22KwTNYwWCMiIiLK4hgsaAOPPyXGYI2IiIgoi1ParNnZ8dbQFliySdbwjCQiIiLK4kQE7733HsaOHWvrpGRJLNkkaxisEREREWVxIsJSNRtydnZGkSJFkC1bNlsnhTSG3wgiIiKiLM5gMDBQsKEmTZrg1q1btk4GaRAfoRARERFlcSLCKnhEGsRgjYiIiCiLYzVIIm3iWUlERESUxRkMBpasEWkQgzUiIiKiLI7VIIm0icEaERERURbHapBE2sSzkoiIiCiLYzVIIm1isEZERESUxbEaJJE2ZYlgLTY2FqNHj0aBAgXg7OyMOnXq4O+//07Wsvfu3UOnTp2QM2dOuLu744MPPsCNGzfSOcVEREREGYfVIIm0KUuclb169cLcuXPRtWtXfPfdd7C3t0fr1q1x8ODBJJd7/vw5mjZtin379mHs2LHw9fXF6dOn0bhxYzx58iSDUk9ERESUvlgNkkibMv2r6o8dO4Y1a9Zg1qxZGDlyJACgR48eqFixIkaNGoVDhw5ZXXbRokUICgrCsWPHUKtWLQBAq1atULFiRcyZMwfffPNNhuwDERERUXpiNUgibcr0JWsbNmyAvb09BgwYoI5zcnJC3759cfjwYQQHBye5bK1atdRADQDKli2Ld955B+vWrUvXdBMRERFlFHd3d7i5udk6GUSUSKYvWTt9+jRKly4Nd3d3k/G1a9cGAJw5cwY+Pj5myxkMBvz777/o06eP2bTatWtj165diIyMtHhhi42NRWxsrPo5IiLidXeDiIiIKN1s27bN1kkgIgsyfclaSEgI8ufPbzZeGXf//n2Lyz19+hSxsbGpWnb69Onw8PBQB0vBIBERERERUVIyfbAWHR0NR0dHs/FOTk7qdGvLAUjVsl999RXCw8PVIamqlkRERERERJZk+mqQzs7OJlUSFTExMep0a8sBSNWyjo6OFoM8IiIiIiKi5Mr0JWv58+dHSEiI2XhlXIECBSwu5+npCUdHx1QtS0RERERE9LoyfbBWtWpVXL161ayTj6NHj6rTLbGzs0OlSpVw4sQJs2lHjx5F8eLF2WsSERERERGlm0xfDbJDhw6YPXs2lixZor5nLTY2Fn5+fqhTp47a+cedO3cQFRWFsmXLmiw7ZswYnDhxAjVr1gQAXLlyBf/884+6ruQQEQDsFZKIiIiIKKtTYgIlRkiKTpIz1xuuU6dO2Lx5M0aMGIGSJUti2bJlOHbsGAICAtCoUSMAQJMmTbBv3z6TgxYZGYlq1aohMjISI0eORPbs2TF37lzo9XqcOXMGXl5eydr+3bt32SMkERERERGpgoODUahQoSTnyRLBWkxMDMaPH4+VK1fi2bNnqFy5MqZMmYIWLVqo81gK1oCEQGvEiBHYtWsXDAYDmjRpgnnz5qFkyZLJ3r7BYMD9+/fh5uYGnU732vsTEREBHx8fBAcHm70/jmyP+aNdzBttY/5oG/NHu5g32sb80TZb5I+IIDIyEgUKFICdXdKt0rJEsJbZREREwMPDA+Hh4TzpNYj5o13MG21j/mgb80e7mDfaxvzRNq3nT6bvYISIiIiIiOhNxGCNiIiIiIhIgxisvYEcHR0xceJEvnhbo5g/2sW80Tbmj7Yxf7SLeaNtzB9t03r+sM0aERERERGRBrFkjYiIiIiISIMYrBEREREREWkQgzUiIiIiIiINYrBGRERERESkQQzWiIiIiIgo08kM/SgyWCOiN15muBgTEdGbIzw83NZJoCSsXbsWAKDT6WycktfHYE0DTp8+jTt37pic+Lz51IaoqChbJ4GScOPGDURFRSEmJsbWSSELzp49i6CgINy9e1cdx2ubNmzduhWDBw/GjRs3AAAGg8HGKSJjv/32G9zc3BAYGGjrpFAimzZtQvPmzTFv3jzcunXL1smhRNasWYMSJUqgS5cuOHjwoK2TkyYYrNnQpUuX0KBBA7zzzjuoUqUKateujY0bNyI+Ph46nY43NTZ05coV1KhRA/369bN1UsiCf//9F23atMH777+PYsWKoUmTJggMDOQ5oxH//vsv3n33Xbz33nuoUaMGqlSpggULFqjXNrKtv//+G+3atcOKFSuwfft2AICdHW8HtOD06dOoU6cO+vTpgzZt2sDd3d3WSaL/d//+fbRp0wY9evSAg4MDXFxc4OLiYutk0f9Tzp2ePXvCzc0NTk5OiI2NtXWy0gSvzjby8OFDdO3aFSKCOXPmYO7cufD09ES/fv0wdepUWycvyxIRbNy4EW3btsXp06exZs0a7Nu3z9bJov+n1+uxcOFCNGvWDC9evECHDh3QoUMHhISEoF+/fti/f7+tk5ilvXz5Et988w0aN26Mly9fYvTo0ViyZAkqV66M8ePHY9u2bbZOYpamPMzInTs3PD09odfrsXr1apw9exYAS9dsKTo6Gn369EGNGjXg7OyMtWvXYsGCBahUqZKtk0b/b8mSJbh58yaWLFmCxYsXY9SoUcibN6+tk5XlRUREoGfPnqhRowZcXFywfv16fPPNNxARnDlzBkDCvcMbTcgm1qxZI9myZZMNGzao4+7evSudO3cWnU4nu3fvtmHqsq7r169LxYoVJXfu3DJ16lQpX7681K1bV16+fGnrpJGI/Pnnn1K8eHHp06ePXL58WR0fGBgoOp1ORo8ezbyyoT/++EOqV68uw4cPl6tXr0p8fLyIiAQFBYlOp5OZM2eKwWCwcSppw4YN0rx5c/nxxx9Fp9PJ2LFj1bxi/mS8+Ph4mTZtmuh0Ounfv788evTI6nWM+WMbd+7ckXz58slnn31mNt4Y8ydjvXjxQkqVKiXFixeXxYsXy+3bt0VE5MaNG5IrVy5p37696PV6G6fy9WWzdbCYVd2+fRs5cuRAu3btACQ8kS5YsCBGjRqFmzdvYvjw4QgICOBTmwyWLVs2tG3bFp06dUKVKlWQK1cuDBkyBMuWLUPfvn1tnbws7+LFi3B0dMS3334LLy8vAEBcXBzeeust1KlTB6dOnUK2bNkgIqxuZwMeHh7o2rUrunfvruYPAJw/fx5eXl4oUqSIWsWb+ZPxlOPu4+ODo0eP4q+//sKGDRvg5+eHpk2bolmzZrZOYpZkb2+PFi1aYMeOHThw4ADy5MkDAPj999+xadMm5MuXD2XLlkXXrl3h4OBg49RmTbdu3UJkZCSGDBkCAFixYgW+/fZbAEDp0qXRqVMndOnShde1DGQwGODi4oJly5bB3d0dpUuXRvbs2QEAxYoVQ8mSJfH06VO8fPkSDg4Ob3TesBpkOlOqlUiitjQODg4wGAxqtS2lvUC1atXwxRdfICgoCL/88ovFZSltWMqbwoULY8KECahSpQoAoFmzZnj33XcxadIkPHnyxCbpzKqM80fJoxEjRmDLli3w8vJSpzs4OECv18PJyQnR0dGIiYl5oy/KbwpL50/9+vXx+eefmwRqBw8exPjx4xETE4NLly7h/PnzamdKrHaXPqz97ijnRXBwsJpHs2bNQmhoKFauXIlnz56xvXQGsJQ/NWrUQPfu3XHlyhWMHDkSLVq0wIcffojAwEAsXrwYffv2RZcuXXDhwgWTdVDasnbuuLi4IC4uDhcuXICfnx969eqF8uXLo1atWjh06BC6du0Kf39/G6Q4azHOH+W+uV69eqhQoYIaqIkIDAYDateujdOnTyM6OvqNv64xWEsnStsNPz8/AP/9SCpflooVKyIuLg779u2DiMDe3h4GgwE6nQ6NGzfGBx98gHnz5iEuLo43nmnMWt4oHB0d1f9Lly6Nvn374smTJ5g5c2aGpjOrspQ/xnlUunRpAP894FAu2uHh4ShYsCCcnJze6Iuy1r3q/AH++0EdM2YMGjVqBC8vL7Rr1w7BwcFo2LAhPvnkEwDs1CKtvSpvlPOicOHCePDgAUJCQlC1alX06dMHa9aswZ9//gkgof0Upb1X3Re0atUK//vf/zB37lzEx8dj586dCAgIwOXLlzF58mRs2bIFvr6+AHjupLXkXNdy5syJjRs34rvvvsO4cePg5+cHf39/7N69G82bN8fIkSNx+fLljE56lpCc/FHodDrY2dnB09MTEREROHDgwCuX0byMrHOZVezfv18qVKggOp1OmjdvLhcvXhQR87rM1atXl2rVqsm5c+fMpq9atUqyZcsmixcvtrgspU5y88Z43MOHD6VPnz7i5OQk58+ftzo/vb6U5I+x4OBgyZEjh0yfPl1ERG1/Q2krufmjfN68ebOsXbtWHj9+rI776quvxM7OTmbNmiUikinaE2hBSs6ddevWSenSpeXBgwciIhIRESEuLi7StGlT6d27t3Tv3l3u37+foenP7JKbP6tWrZJevXpJYGCg2bSuXbuKh4eH/P777xaXpdRJbt7Ur19f7OzsJE+ePHLo0CGTabt27RJPT08ZNmyYiPC6lpZSel+gHPsDBw6ITqeTdevWJTn/m4DBWho7fPiwlC1bVooWLSodO3YUnU4nM2bMMGksrNxIbt26VXQ6nUydOlWio6NNpl25ckUKFSokAwYM4EmfRpKTN9YEBARIwYIFpV27dhmQ0qzpdfJn//79otPp5K+//sqAlGZNKcmfpH4Ug4KCpGTJklKlShWJiYlJzyRnGcnNGyVfDhw4IC4uLhIcHKxO69Kli9jb20v27Nll4sSJ8vz58wzdh8wsOfmj5E14eLg8fPjQZHllviNHjohOp5NJkya90TeeWpKSe7Y///xTdDqd6HQ6uXTpkoiIxMbGikjCQ92WLVuKj48Pr2tp6HXuC86fPy+5cuWSoUOHigiDNTJy8eJFcXR0lPXr14uISMOGDaVUqVISGBhocf7WrVtLgQIFZNu2bSJiWiJQoUIF6dGjh4i82V8yrUhp3oj8d9yfP38u48ePF51OJwEBASIism/fPtm6davJfJR6qckfxaJFiyRbtmwSGRkpIgnn0fXr1+XEiRMiwvxJC6+TPyKmT5rr1asndevW5U1NGkmcN40aNUoyb9asWSNlypSRsLAw2bNnjzRo0EDs7e3F3d1dSpYsKQcOHBARnjdpJbXnjnL8lXPn0aNHkjNnThk1alT6JjgLSWnedO3aVXQ6nQwcOFBExCRo6NChg5QvX17Cw8PTP+FZxOv87jx8+FCKFCki77zzjkRERKR3UtMVg7U0pARaxk/FlCf+n332mXoCG9+03L59W1xdXaVu3bpy6tQpdfyRI0fE3d1dfH19Myj1mVty88bSzYmSX5cvX5bq1atLpUqVxNfXV3x8fCR37txqVSJKvdfJHxGR999/X9566y0RSagSuXLlSqlWrZpUr15dnjx5ks6pz/zS4vxR/PXXX5I9e3YZPnx4OqY460hJ3ij5ExAQIA4ODvLee++Jvb291K9fX/bv3y/r1q1Tb0SVEgN6PWl57ixatEh0Op38/PPP6ZjirCM192zBwcHi7u5uVpPjwoULUqJECenWrRsfcqSRtDh32rdvLxUqVJDnz5+/0fnCYC2V1qxZIwMHDpRvv/1W9u/fr443/jIoX5aePXtKzpw5ZcuWLSbrUL6I/v7+UrhwYSlWrJgsWLBAli5dKu+//774+PjIv//+mwF7k7mkRd5Ycvv2benVq5daDeKDDz4wqUZEyZOW+WMwGCQyMlLy588vH330kezevVvatm0rOp1OWrZsKXfv3k3fncmE0uv8uX//vmzbtk0aN24s5cuXV9vqUvKlVd4EBgZK5cqVpVy5cvL9999LcHCw+ntUv3596d+/P4O1VEivcyc0NFQ2b94slStXlsaNG8vjx4/TPvGZXFres61Zs0by588vnp6e0r9/f/nmm2+kVatWkitXLlbFT6X0OHcMBoNMnTpVdDqdXLlyxWx9bxIGaykUGhoqLVq0kBw5ckj16tUlV65c4ujoKBMnTpRnz56JiJi9XPTu3bvi6uoq7du3V2/u9Xq9yZdm7969Ur9+ffHw8JDcuXNL5cqV5eDBgxm7c2+4tMybxA4cOCAtW7YUOzs7qVatWrKrftF/0it/rl27Ji4uLlK9enVxdXWVMmXKqFVVKfnSK3/27t0r/fv3lw4dOoibm5tUqVJFjh8/nnE7lgmkVd4oVbbi4uJk//79cu7cOTUoU5ZT2k9T8qXnuTNo0CDp0qWLuLq6SvXq1eXMmTMZt2OZQHrdswUGBkqLFi0kZ86ckjdvXqlWrZpJkEHJk573bSIi8+bNE51OJxs2bEj/nUlHDNZSaNmyZeLp6SmrVq2S+/fvy5MnT6RXr17i5uYmgwcPNptf+XJNmzZN7OzsZMmSJSYnvPH/0dHR8uDBA97IpFJa542x3bt3i4ODg3z//ffpug+ZWXrlzz///CM6nU7y5s3L/HkN6ZU/27Ztk5IlS0qTJk3k119/Tff9yIzSI2/e1CfMWpRe586GDRvE1dVV6tSpw6qPqZSe92yxsbHy7NkzOXv2bPrvSCaVXueOEryFhISIv79/+u5EBmCwlkKNGzeWunXrmox78eKF9OzZU3Q6nfzxxx8iYh7lx8XFSYkSJaROnTpy9epVERG5fv26SV1c9vr4etIzb0TYHfzrSuv8MW4r+NNPP0lcXFw670Hmlp75c/36dV7fXkNa5s21a9fMrm30etLz3Dl79ix/e14D79m0LT3zJzM9kGKwlkx6vV5iYmKkRYsWUr9+fXW8Uq3k5MmTUqNGDSlevLjZFyRxV/2jR48WPz8/qV69unz22Wfy4sWLjNuRTIh5o23pmT9veg9PWpCe+cPu319PeuZNVFRUxu1IJsVzR7t4X6BtzJ+UYbBmwaVLl2TYsGEydOhQGTdunBq1i4h8+OGHUqZMGbVxvHG0v2TJEtHpdDJv3jwRMS+JefnypdSqVUvs7e1Fp9NJ/vz55c8//0z/HcpEmDfaxvzRNuaPdjFvtI35o13MG21j/rw+BmtGYmNjZeTIkeLs7Cw1a9aUUqVKiU6nk+LFi6vveNiwYYPodDr59ddf1S+V8gW6deuWvPPOO1KsWDGzRtunTp2ScePGiaurq7i5ucn8+fNtsIdvLuaNtjF/tI35o13MG21j/mgX80bbmD9ph8Ha/4uMjJSxY8dK8eLFZcaMGXLlyhXR6/Wye/duKVCggDRs2FCioqIkPj5eqlSpIo0aNZJbt26ZrWfSpEmSM2dOtZ6tSMKXa8iQIaLT6aRnz57qi3speZg32sb80Tbmj3Yxb7SN+aNdzBttY/6kLQZr/+/mzZtSrFgxGThwoISFhZlMGzhwoHh5ecmJEydERGTFihWi0+lk7ty5at1YJeo/ffq02NnZyebNm0Xkv/q3x44dk4sXL2bQ3mQuzBttY/5oG/NHu5g32sb80S7mjbYxf9IWg7X/ZzAYZMmSJSbjlN7l1q1bJ9myZZNLly6JiEhYWJi0b99evL29zV7Kd+zYMdHpdLJs2bKMSXgWwLzRNuaPtjF/tIt5o23MH+1i3mgb8ydtMVgzokTsiRsxzpo1S+zt7eXy5cvquODgYMmXL59UqFBBbdB47949GTJkiBQpUkRCQ0MzLuFZAPNG25g/2sb80S7mjbYxf7SLeaNtzJ+0w2AtCUpjx2HDhom3t7f6VED54v31119SvXp10el0UrVqValXr55kz55dfH19JT4+PlO940FrmDfaxvzRNuaPdjFvtI35o13MG21j/qSeTkQElKSaNWuiaNGi2LBhA/R6Pezt7dVpjx8/xi+//ILr168jIiICw4YNQ7169WyY2qyFeaNtzB9tY/5oF/NG25g/2sW80TbmTyrYOlrUuocPH4qzs7PMmjVLHafX6+Xp06c2TBWJMG+0jvmjbcwf7WLeaBvzR7uYN9rG/EkdO1sHi1p3/vx5xMTEoFatWgCA0NBQrF69Gi1atMCjR49snLqsjXmjbcwfbWP+aBfzRtuYP9rFvNE25k/qMFizQv6/dujx48fh4eGBAgUKYO/evRg8eDD69OkDEYGdnZ06H2Uc5o22MX+0jfmjXcwbbWP+aBfzRtuYP68nm60ToFU6nQ4AcPToUeTOnRuzZs3CmjVr4O3tjT/++APvvvuujVOYdTFvtI35o23MH+1i3mgb80e7mDfaxvx5TRlX4/LNEx0dLVWrVhWdTifu7u4yb948WyeJ/h/zRtuYP9rG/NEu5o22MX+0i3mjbcyf1GNvkK8wevRo6HQ6+Pr6wtHR0dbJISPMG21j/mgb80e7mDfaxvzRLuaNtjF/UofB2isYDAbY2bFpnxYxb7SN+aNtzB/tYt5oG/NHu5g32sb8SR0Ga0RERERERBrE8JaIiIiIiEiDGKwRERERERFpEIM1IiIiIiIiDWKwRkREREREpEEM1oiIiIiIiDSIwRoREREREZEGMVgjIiIiIiLSIAZrREREREREGsRgjYiIiIiISIMYrBEREREREWkQgzUiIiIiIiIN+j/H2yQdEz7OEQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1000x800 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# The dataframe containing the time series of the different component fits\n",
+    "# can be accessed through CODS.result_df\n",
+    "result_df = CODS.result_df\n",
+    "\n",
+    "# Let us plot the time series of the results\n",
+    "# First: daily normalized energy along with the total model fit and degradation trend\n",
+    "fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(10, 8))\n",
+    "ax1.plot(aggregated_performance_original.index, aggregated_performance_original, 'o', alpha = 0.3)\n",
+    "ax1.plot(result_df.index, result_df.degradation_trend * CODS.residual_shift, color='g', linewidth=1,\n",
+    "         label='Degradation trend')\n",
+    "ax1.plot(result_df.index, result_df.degradation_trend * result_df.seasonal_component * CODS.residual_shift,\n",
+    "         color='C1', linewidth=1, label='Degradation * seasonal component * residual shift')\n",
+    "ax1.plot(result_df.index, result_df.total_model, color='k', linewidth=1,\n",
+    "         label='model fit')\n",
+    "ax1.set_ylim(0.6, 1.1)\n",
+    "ax1.set_ylabel('Normalized\\nenergy')\n",
+    "ax1.legend(bbox_to_anchor=(0.1, 1.1))\n",
+    "\n",
+    "# Second: soiling ratio with 95 % confidence intervals\n",
+    "ax2.plot(result_df.index, result_df.soiling_ratio, color='r', linewidth=1,\n",
+    "         label='Soiling Ratio')\n",
+    "ax2.fill_between(result_df.index, result_df.SR_low, result_df.SR_high,\n",
+    "                 color='r', alpha=.1, label='95 % confidence interval')\n",
+    "ax2.set_ylabel('Soiling Ratio')\n",
+    "ax2.legend()\n",
+    "\n",
+    "# Third: The residuals\n",
+    "ax3.plot(result_df.index, result_df.residuals, color='k', linewidth=1)\n",
+    "ax3.set_ylabel('Residuals')\n",
+    "\n",
+    "fig.autofmt_xdate()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "rdtools3-nb",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/TrendAnalysis_example_NSRDB.ipynb b/docs/TrendAnalysis_example_NSRDB.ipynb
new file mode 100644
index 000000000..6c9f6b7d0
--- /dev/null
+++ b/docs/TrendAnalysis_example_NSRDB.ipynb
@@ -0,0 +1,336 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# TrendAnalysis with satellite data\n",
+    "\n",
+    "\n",
+    "This juypter notebook is intended to demonstrate how to use the RdTools analysis workflow as implemented with the `rdtools.TrendAnalysis` object-oriented API with satellite weather/irradiance data, such as NSRDB, instead of ground-based sensor data. For a consistent experience, we recommend installing the packages and versions documented in `docs/notebook_requirements.txt`. This can be achieved in your environment by running `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) This notebook was tested in python 3.12.\n",
+    "\n",
+    "The calculations consist of two phases:\n",
+    "\n",
+    "1. Import and preliminary calculations: In this step data is important and augmented to enable analysis with RdTools. **No RdTools functions are used in this step. It will vary depending on the particulars of your dataset. Be sure to understand the inputs RdTools requires and make appropriate adjustments.**  \n",
+    "2. Analysis with RdTools: This notebook illustrates the use of the TrendAnalysis API for year on year (YOY) degradation calculations.\n",
+    "\n",
+    "This notebook works with data from the NREL PVDAQ `[4] NREL x-Si #1` system.  Note that because this system does not experience significant soiling, the dataset contains a synthesized soiling signal for use in the soiling section of the example.  This notebook automatically downloads and locally caches the dataset used in this example. The data can also be found on the DuraMAT Datahub (https://datahub.duramat.org/dataset/pvdaq-time-series-with-soiling-signal).\n",
+    "\n",
+    "In prior versions of RdTools (RdTools<3) we emphasized a clear sky workflow which uses clear sky modeled irradiance rather than measured (sensor) irradiance for analysis. The clear sky analysis served to double check the sensor based result for things like sensor drift, but there was high uncertainty with this approach because aerosal optical depth (AOD), an input to the clear sky irradiance model, can change from year to year. Therefore we now recommend using satellite irradiance data to check that the results with ground measured irradiance are sensible. This can help catch problems with sensor drift."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pvlib\n",
+    "import rdtools\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Update the style of plots\n",
+    "import matplotlib\n",
+    "matplotlib.rcParams.update({'font.size': 12,\n",
+    "                           'figure.figsize': [4.5, 3],\n",
+    "                           'lines.markeredgewidth': 0,\n",
+    "                           'lines.markersize': 2\n",
+    "                           })\n",
+    "# Register time series plotting in pandas > 1.0\n",
+    "from pandas.plotting import register_matplotlib_converters\n",
+    "register_matplotlib_converters()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Set the random seed for numpy to ensure consistent results\n",
+    "np.random.seed(0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Import and preliminary calculations\n",
+    "\n",
+    "\n",
+    "This section prepares the data necessary for an `rdtools` calculation.\n",
+    "\n",
+    "A common challenge is handling datasets with and without daylight savings time. Make sure to specify a `pytz` timezone that does or does not include daylight savings time as appropriate for your dataset.\n",
+    "\n",
+    "**The steps of this section may change depending on your data source or the system being considered. Note that nothing in this first section utilizes the `rdtools` library.** Transposition of irradiance and modeling of cell temperature are generally outside the scope of `rdtools`. A variety of tools for these calculations are available in [pvlib](https://github.com/pvlib/pvlib-python)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the example data\n",
+    "file_url = ('https://datahub.duramat.org/dataset/'\n",
+    "            'a49bb656-7b36-437a-8089-1870a40c2a7d/'\n",
+    "            'resource/d2c3fcf4-4f5f-47ad-8743-fc29'\n",
+    "            'f1356835/download/pvdaq_system_4_2010'\n",
+    "            '-2016_subset_soil_signal.csv')\n",
+    "cache_file = 'PVDAQ_system_4_2010-2016_subset_soilsignal.pickle'\n",
+    "\n",
+    "try:\n",
+    "    df = pd.read_pickle(cache_file)\n",
+    "except FileNotFoundError:\n",
+    "    df = pd.read_csv(file_url, index_col=0, parse_dates=True)\n",
+    "    df.to_pickle(cache_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df.rename(columns = {\n",
+    "    'ac_power':'power_ac',\n",
+    "    'wind_speed': 'wind_speed',\n",
+    "    'ambient_temp': 'Tamb',\n",
+    "    'poa_irradiance': 'poa',\n",
+    "})\n",
+    "\n",
+    "# Specify the Metadata\n",
+    "meta = {\"latitude\": 39.7406,\n",
+    "        \"longitude\": -105.1774,\n",
+    "        \"timezone\": 'Etc/GMT+7',\n",
+    "        \"gamma_pdc\": -0.005,\n",
+    "        \"azimuth\": 180,\n",
+    "        \"tilt\": 40,\n",
+    "        \"power_dc_rated\": 1000.0,\n",
+    "        \"temp_model_params\":'open_rack_glass_polymer'}\n",
+    "\n",
+    "df.index = df.index.tz_localize(meta['timezone'])\n",
+    "\n",
+    "# Set the pvlib location\n",
+    "loc = pvlib.location.Location(meta['latitude'], meta['longitude'], tz = meta['timezone'])\n",
+    "\n",
+    "# There is some missing data, but we can infer the frequency from\n",
+    "# the first several data points\n",
+    "freq = pd.infer_freq(df.index[:10])\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This example dataset includes a synthetic soiling signal that can be applied onto the PV power data to illustrate the soiling loss and detection capabilities of RdTools.  AC Power is multiplied by soiling to create the synthetic 'power' channel"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot synthetic soiling signal attached to the dataset\n",
+    "fig, ax = plt.subplots(figsize=(4,3))\n",
+    "ax.plot(df.index, df.soiling, 'o', alpha=0.01)\n",
+    "#ax.set_ylim(0,1500)\n",
+    "fig.autofmt_xdate()\n",
+    "ax.set_ylabel('soiling signal');\n",
+    "df['power'] = df['power_ac'] * df['soiling']\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "NSRDB data is included in the sample data downloaded by this notebook. In the following cell we transposed the irradiance components from NSRDB to the plane of array (POA)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "solar_position = loc.get_solarposition(times=df.index)\n",
+    "\n",
+    "nsrdb_poa = pvlib.irradiance.get_total_irradiance(\n",
+    "    surface_tilt=meta['tilt'],\n",
+    "    surface_azimuth=meta['azimuth'],\n",
+    "    dni=df['dni_nsrdb'],\n",
+    "    ghi=df['ghi_nsrdb'],\n",
+    "    dhi=df['dhi_nsrdb'],\n",
+    "    solar_zenith=solar_position['apparent_zenith'],\n",
+    "    solar_azimuth=solar_position['azimuth'])\n",
+    "\n",
+    "nsrdb_poa = nsrdb_poa.dropna()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Use of the object oriented system analysis API"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The first step is to create a `TrendAnalysis` instance containing data to be analyzed and information about the system. Instead of using ground measued irradiance and ambient temperature, we use NSRDB irradiance. Even though our PV data is 1 minute frequency, and our NSRDB data is 30 minute, we can feed both directly to the TrendAnalysis object. RdTools handles the difference in frequency automatically. We will still use the \"sensor\" leg of the the TrendAnalysis workflow to perform our analysis."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ta = rdtools.TrendAnalysis(df['power'], nsrdb_poa['poa_global'],\n",
+    "                           temperature_ambient=df['ambient_temp_nsrdb'],\n",
+    "                           gamma_pdc=meta['gamma_pdc'],\n",
+    "                           interp_freq=freq,\n",
+    "                           windspeed=df['wind_speed'],\n",
+    "                           power_dc_rated=meta['power_dc_rated'],\n",
+    "                           temperature_model=meta['temp_model_params'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Once the `TrendAnalysis` object is ready, the `sensor_analysis()` method can be used to deploy the full chain of analysis steps. Results are stored in nested dict, `TrendAnalysis.results`.\n",
+    "\n",
+    "New in RdTools 3, there are two filtering steps. The first step occurs after normalization but before aggregation, and the second after aggregation. Filters utilized in the first filtering step can be adjusted by changing the dict `TrendAnalysis.filter_params`. Filters used in the second filtering step can be adjusted by changing the dict `TrendAnalysis.filter_params_aggregated`.\n",
+    "\n",
+    "When performing an analysis with satellite data, we recommend adding a clear sky filter to the first filtering step to eliminate noise in variable cloudy conditions. This is acheived by adding the `sensor_clearsky_filter` key to the `filter_params` attribute. It also requires that we run the `set_clearsky` method of our TrendAnalysis object."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ta.set_clearsky(pvlib_location=loc, pv_tilt=meta['tilt'], pv_azimuth=meta['azimuth'], albedo=0.25)\n",
+    "ta.filter_params['sensor_clearsky_filter'] = {}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can then perform the degradation analysis and examine the results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ta.sensor_analysis(analyses=['yoy_degradation'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "yoy_results = ta.results['sensor']['yoy_degradation']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-0.394\n",
+      "[-0.939  0.102]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the sensor-based analysis p50 degradation rate and confidence interval\n",
+    "print(np.round(yoy_results['p50_rd'], 3))\n",
+    "print(np.round(yoy_results['rd_confidence_interval'], 3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the sensor based degradation results\n",
+    "fig = ta.plot_degradation_summary('sensor', summary_title='Sensor-based degradation results',\n",
+    "                                  scatter_ymin=0.5, scatter_ymax=1.1,\n",
+    "                                  hist_xmin=-30, hist_xmax=45)\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "rdtools3-nb",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/TrendAnalysis_example_pvdaq4.ipynb b/docs/TrendAnalysis_example_pvdaq4.ipynb
deleted file mode 100644
index 9ff1ddf2b..000000000
--- a/docs/TrendAnalysis_example_pvdaq4.ipynb
+++ /dev/null
@@ -1,62441 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# TrendAnalysis object-oriented example\n",
-    "\n",
-    "\n",
-    "This juypter notebook is intended to demonstrate the RdTools analysis workflow as implemented with the `rdtools.TrendAnalysis` object-oriented API. For a consistent experience, we recommend installing the packages and versions documented in `docs/notebook_requirements.txt`. This can be achieved in your environment by running `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.)\n",
-    "\n",
-    "The calculations consist of two phases:\n",
-    "\n",
-    "1. Import and preliminary calculations: In this step data is important and augmented to enable analysis with RdTools. **No RdTools functions are used in this step. It will vary depending on the particulars of your dataset. Be sure to understand the inputs RdTools requires and make appropriate adjustments.**  \n",
-    "2. Analysis with RdTools: This notebook illustrates the use of the TrendAnalysis API to perform sensor and clearsky degradation rate calculations along with stochastic rate and recovery (SRR) soiling calculations.\n",
-    "\n",
-    "This notebook works with data from the NREL PVDAQ `[4] NREL x-Si #1` system.  Note that because this system does not experience significant soiling, the dataset contains a synthesized soiling signal for use in the soiling section of the example.  This notebook automatically downloads and locally caches the dataset used in this example. The data can also be found on the DuraMAT Datahub (https://datahub.duramat.org/dataset/pvdaq-time-series-with-soiling-signal)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import pvlib\n",
-    "import rdtools\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Update the style of plots\n",
-    "import matplotlib\n",
-    "matplotlib.rcParams.update({'font.size': 12,\n",
-    "                           'figure.figsize': [4.5, 3],\n",
-    "                           'lines.markeredgewidth': 0,\n",
-    "                           'lines.markersize': 2\n",
-    "                           })\n",
-    "# Register time series plotting in pandas > 1.0\n",
-    "from pandas.plotting import register_matplotlib_converters\n",
-    "register_matplotlib_converters()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Set the random seed for numpy to ensure consistent results\n",
-    "np.random.seed(0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Import and preliminary calculations\n",
-    "\n",
-    "\n",
-    "This section prepares the data necessary for an `rdtools` calculation.\n",
-    "\n",
-    "A common challenge is handling datasets with and without daylight savings time. Make sure to specify a `pytz` timezone that does or does not include daylight savings time as appropriate for your dataset.\n",
-    "\n",
-    "**The steps of this section may change depending on your data source or the system being considered. Note that nothing in this first section utilizes the `rdtools` library.** Transposition of irradiance and modeling of cell temperature are generally outside the scope of `rdtools`. A variety of tools for these calculations are available in [pvlib](https://github.com/pvlib/pvlib-python)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Import the example data\n",
-    "file_url = ('https://datahub.duramat.org/dataset/a49bb656-7b36-'\n",
-    "            '437a-8089-1870a40c2a7d/resource/5059bc22-640d-4dd4'\n",
-    "            '-b7b1-1e71da15be24/download/pvdaq_system_4_2010-2016'\n",
-    "            '_subset_soilsignal.csv')\n",
-    "cache_file = 'PVDAQ_system_4_2010-2016_subset_soilsignal.pickle'\n",
-    "\n",
-    "try:\n",
-    "    df = pd.read_pickle(cache_file)\n",
-    "except FileNotFoundError:\n",
-    "    df = pd.read_csv(file_url, index_col=0, parse_dates=True)\n",
-    "    df.to_pickle(cache_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = df.rename(columns = {\n",
-    "    'ac_power':'power_ac',\n",
-    "    'wind_speed': 'wind_speed',\n",
-    "    'ambient_temp': 'Tamb',\n",
-    "    'poa_irradiance': 'poa',\n",
-    "})\n",
-    "\n",
-    "# Specify the Metadata\n",
-    "meta = {\"latitude\": 39.7406,\n",
-    "        \"longitude\": -105.1774,\n",
-    "        \"timezone\": 'Etc/GMT+7',\n",
-    "        \"gamma_pdc\": -0.005,\n",
-    "        \"azimuth\": 180,\n",
-    "        \"tilt\": 40,\n",
-    "        \"power_dc_rated\": 1000.0,\n",
-    "        \"temp_model_params\":'open_rack_glass_polymer'}\n",
-    "\n",
-    "df.index = df.index.tz_localize(meta['timezone'])\n",
-    "\n",
-    "# Set the pvlib location \n",
-    "loc = pvlib.location.Location(meta['latitude'], meta['longitude'], tz = meta['timezone'])\n",
-    "\n",
-    "# There is some missing data, but we can infer the frequency from\n",
-    "# the first several data points\n",
-    "freq = pd.infer_freq(df.index[:10])\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This example dataset includes a synthetic soiling signal that can be applied onto the PV power data to illustrate the soiling loss and detection capabilities of RdTools.  AC Power is multiplied by soiling to create the synthetic 'power' channel"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot synthetic soiling signal attached to the dataset\n",
-    "fig, ax = plt.subplots(figsize=(4,3))\n",
-    "ax.plot(df.index, df.soiling, 'o', alpha=0.01)\n",
-    "#ax.set_ylim(0,1500)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('soiling signal');\n",
-    "\n",
-    "df['power'] = df['power_ac'] * df['soiling']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Use of the object oriented system analysis API"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The first step is to create a `TrendAnalysis` instance containing data to be analyzed and information about the system. Here we illustrate a basic applicaiton, but the API is highly customizable and we encourage you to read the docstrings and check the source for full details."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ta = rdtools.TrendAnalysis(df['power'], df['poa'], \n",
-    "                           temperature_ambient=df['Tamb'],\n",
-    "                           gamma_pdc=meta['gamma_pdc'],\n",
-    "                           interp_freq=freq,\n",
-    "                           windspeed=df['wind_speed'],\n",
-    "                           power_dc_rated=meta['power_dc_rated'],\n",
-    "                           temperature_model=meta['temp_model_params'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A second step is required to set up the clearsky model, which needs to be localized and have tilt/orientation information."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ta.set_clearsky(pvlib_location=loc, pv_tilt=meta['tilt'], pv_azimuth=meta['azimuth'], albedo=0.25)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Once the `TrendAnalysis` object is ready, the `sensor_analysis()` and `clearsky_analysis()` methods can be used to deploy the full chain of analysis steps. Results are stored in nested dict, `TrendAnalysis.results`.\n",
-    "\n",
-    "Filters utilized in the analysis can be adjusted by changing the dict `TrendAnalysis.filter_params`.\n",
-    "\n",
-    "Here we also illustrate how the aggregated data can be used to estimate soiling losses using the stochastic rate and recovery (SRR) method.<sup>1</sup> Since our example system doesn't experience much soiling, we apply an artificially generated soiling signal, just for the sake of example. If the dataset doesn't require special treatment, the 'srr_soiling' analysis type can just be added to the `sensor_analysis` function below. A warning is emitted here because the underlying RdTools soiling module is still experimental and subject to change.\n",
-    "\n",
-    "<sup>1</sup>M. G. Deceglie, L. Micheli and M. Muller, \"Quantifying Soiling Loss Directly From PV Yield,\" IEEE Journal of Photovoltaics, vol. 8, no. 2, pp. 547-551, March 2018. doi: 10.1109/JPHOTOV.2017.2784682"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:14: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n",
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:366: UserWarning: 20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
-      "  warnings.warn('20% or more of the daily data is assigned to invalid soiling '\n"
-     ]
-    }
-   ],
-   "source": [
-    "ta.sensor_analysis(analyses=['yoy_degradation','srr_soiling'])\n",
-    "ta.clearsky_analysis()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The results of the calculations are stored in a nested dict, `TrendAnalysis.results`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "yoy_results = ta.results['sensor']['yoy_degradation']\n",
-    "srr_results = ta.results['sensor']['srr_soiling']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-0.454\n",
-      "[-0.605 -0.253]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Print the sensor-based analysis p50 degradation rate and confidence interval\n",
-    "print(np.round(yoy_results['p50_rd'], 3))\n",
-    "print(np.round(yoy_results['rd_confidence_interval'], 3))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-0.509\n",
-      "[-0.761 -0.295]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Print the clear-sky-based analysis p50 degradation rate and confidence interval\n",
-    "cs_yoy_results = ta.results['clearsky']['yoy_degradation']\n",
-    "print(np.round(cs_yoy_results['p50_rd'], 3))\n",
-    "print(np.round(cs_yoy_results['rd_confidence_interval'], 3))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.949\n",
-      "[0.944 0.954]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Print the p50 inoslation-weighted soiling ration and confidence interval\n",
-    "print(np.round(srr_results['p50_sratio'], 3))\n",
-    "print(np.round(srr_results['sratio_confidence_interval'], 3))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Plotting\n",
-    "The `TrendAnalysis` class has built in methods for making useful plots"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# check that PV energy is roughly proportional to irradiance\n",
-    "# Loops and other features in this plot can indicate things like\n",
-    "# time zone problems for irradiance transposition errors.\n",
-    "fig = ta.plot_pv_vs_irradiance('sensor');"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Repeat the check for clear-sky irradiance\n",
-    "# For this plot, we expect more points below the main point\n",
-    "# cloud due to cloudy conditions.\n",
-    "fig = ta.plot_pv_vs_irradiance('clearsky');"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot the sensor based degradation results\n",
-    "fig = ta.plot_degradation_summary('sensor', summary_title='Sensor-based degradation results',\n",
-    "                                  scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "                                  hist_xmin=-30, hist_xmax=45);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "tags": [
-     "nbsphinx-thumbnail"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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u3Q4G94wZMzB27FgIhUIcO3YMy5YtQ1xcHN544w0AgIeHB2bMmIEVK1bA3d3d5t7bt2+jpKQEXbt2tcklsse//vUv/PDDD/jmm2/Qr18/aDQabNiwAYGBgRg3blyd+mcNLofEHkFBQQCIPHCYMmUKdu3ahZYtW+Lxxx9HUFCQOZ/rs88+cxi7n376CR999BG2bNlizreRyWSYOHEiVq1aZX42N5fffvuty/cGLHPJ9am2vtcFDWmL6++RI0dw5MiRWvtbUVFR4zNcHa+pD0D913ND3vXevXvo3bs3SktLERsbi2HDhsHLywtCoRBpaWnYsGFDo2vOcf0KDg52ep47XlZW5nDO29vb6T0ikciG9NcFrsaZm++VK1fWeD833+Hh4Th37hyWLFmCgwcPYufOnQCI7C1cuBDz5s2rV7+aAp9++ilatmyJdevW4cMPP8SHH34IkUiEUaNG4eOPP0arVq3+8D7x4MGjZvDEigcPHjUiJiYGx44dw6+//orZs2c3qi1up3XBggX45JNP6nTP+++/D5VKhePHj9uolAHAihUr8PPPPzu9z9ku8/r1620Uw+zh4+ODTz/9FJ9++inu3LmDkydP4ptvvsHq1atRVlaGjRs32lz/2GOPITo6GosXL8bDDz+MI0eOOE1w79OnD7p162YWsThw4ACKi4vxxhtvQCwW17l/HPLz850e51QBuXG+cOECdu3aZVacE4ksv/KNRiP++9//OrQhl8uxZMkSLFmyBJmZmTh16hTWr1+PTZs2IS0tzSzawD3j8uXLLgUUrMFdX1vf64KGtMXd8/nnn9fJSPb09KzxGa6Oc3Dl5ajvem7Iu37yyScoLi7GunXrHNTptm7dWqtyYl3A9cvVvOXm5tpcd7/gapy555aXl5vnsja0a9cOP/30E/R6PS5fvoyjR4/iyy+/xCuvvAI3Nzfz7z+BgASV9Xq9QxvOiGRDIRQKMX/+fMyfPx8FBQVISEjAjz/+iO3bt+P69eu4fv16vURvePDgcf/By63z4MGjRsyaNQtisRg7duzAjRs3ary2tl3w3r17QyAQ1KqoZo07d+7A19fXwQgFUOfQsYagVatWmD17Nk6ePAl3d3eXBG7RokX49NNPkZSUhEGDBrk0gP/1r39BrVbjhx9+wNq1a8EwDObOndugvjl77/Lycly6dAkymQzt2rUDQGMHAGPGjLEhVQBw7tw5h/Awe4SFhWHq1Kk4dOgQWrVqhYSEBLMn4KGHHgKAOs9lt27dAAAJCQkwGAwO551JV7tC27ZtoVAocOnSJRvvXE1t1be/np6eaNmyJbKzs5GWluZwPiEhoc79tUZ91zPnCa1pzp09AwAmTJhQp2cAMIfmOZsbZ+BKEWRnZyMlJcXh/PHjx236/0ejvvNtDZFIhB49euCNN94wl4DYvXu3+byPjw8AIDMz0+He+hRIr8+YBwYGYvz48di2bRuGDBmCu3fv4tq1a3V+Fg8ePP4Y8MSKBw8eNSIiIgJLliyBVqvF6NGjXRoOBw8erFUyOzAwEFOnTsWFCxfw3nvvOTUo7t69i9TUVJvnl5SU4MqVKzbXff/99zh06FAD3sg5UlNTce/ePYfjpaWl0Gg0kMvlLu+dP38+1qxZg+vXr2PgwIFOa+Q89dRT8PLywn//+1+cPHkSQ4cORcuWLRvU140bNzrkrixZsgTl5eV48sknzbvYXG6QPdEoKCjAiy++6NBuYWEhrl696nC8uroaVVVVEIlE5nyzWbNmwdvbG0uXLsW5c+cc7jEajTbPDQ0NxdChQ5GamorVq1fbXPvzzz/XiySLxWJMnToVlZWVDvlSFy5cwObNmx3u6dmzJ2JjY7Fz507873//c9ru1atXUVBQYP55+vTpMBqNWLRoEViWNR/PzMzEZ599Vuf+WqO+6/nxxx+Hj48PtmzZ4vDtcXPu7BmA47wfOnQI3333ndN+cZ7WjIyMur4KnnnmGbAsi9dee83mWy4qKjLLuT/zzDN1bq8p8dJLL0EsFmPBggXmfD9raLVaG9KVmJjodCy5jRLrHEMuf27dunU2XqvMzEwsW7aszn308fEBwzBOx1yj0eD06dMOx3U6HUpKShz6xIMHjz8H+FBAHjx41IrFixdDr9dj6dKl6NWrF/r164eePXvC3d0d+fn5OHXqFFJSUtCzZ89a21q9ejVSUlLwzjvvYOPGjYiJiUGzZs2Qk5ODmzdv4vz589i6dau55tT8+fNx6NAhxMTEmGu5XLhwAQkJCZg4cSLi4uKa5B0vX76M8ePHo1evXmjXrh2aN2+OwsJC/Pzzz9DpdOacK1d4/vnnIZPJMHv2bAwYMADHjh0z18gByAiaMWMGvvjiCwDAc8891+C+jhw5Ev3798fkyZPNNY0SEhIQERGBDz/80Hxdr1690L9/f+zcuRP9+vVDTEwM8vPzceDAAURHR6N58+Y27WZnZ6Nbt27o1KkTOnfujLCwMFRUVGDv3r3Iy8vDvHnzzDWv/Pz8EBcXh3HjxuGhhx7Cww8/jA4dOoBhGGRmZuK3335DcXGxjTDD//3f/6Fv376YP38+Dh8+jC5duuDOnTvYtWuXWTSjrli+fDl+/fVXfPbZZ7hw4YK5jtVPP/2EUaNG4ZdffnG4Z8uWLRgyZAhmz56NL774An369IG3tzeysrJw5coVXLt2Db/99ptZDOH111/H7t278eOPPyI5ORnDhg1DeXk5tm3bhgEDBmD37t3msLC6or7r2d3dHWvXrsWUKVMQGxtrU8fq2rVrGDBgAE6dOmVzz7/+9S+sW7cOkyZNwsSJE9G8eXNcu3YNBw8exOTJk50Wl3344Yexfft2jB8/HqNGjYJcLkd4eDimTZvm8l0WLlyIAwcO4Oeff0aXLl0watQoKJVKbN++HQUFBXj99ddrFfm4X2jbti3+97//4ZlnnkGHDh0wYsQItGnTBjqdDhkZGYiPj0dAQIC5yPLGjRvxzTffICYmBlFRUfDx8cHdu3exZ88eSKVSzJ8/39x2nz59zOPeu3dvDBkyBPn5+dizZw+GDx/u1JPlDO7u7ujTpw/i4+MxdepUtGnTBkKhEGPGjEGLFi0QExODVq1aoUePHggPD4darcaRI0dw8+ZNjBkzxuyZ5sGDx58ID1qWkAcPHn8d3Lhxg33ppZfYDh06sB4eHqxYLGaDgoLYESNGsN99952NLHBNUsIajYb98ssv2b59+7Kenp6sRCJhw8LC2CFDhrCffvqpTb0klmXZPXv2sH369GHd3d1ZLy8vdujQoezJkyfZdevWOZXodiYNXRsyMzPZRYsWsf369WObNWvGSiQSNiQkhB0xYgS7f/9+m2trerctW7awIpGIDQ8PZ+/evWtzjpP8Dg4Odqi7UxdYyzyvW7fOXHvJ39+fnTlzJpuTk+NwT3FxMfvCCy+w4eHhrFQqZVu2bMkuWrSIra6udhin0tJSdunSpezgwYPZ5s2bsxKJhA0KCmIHDhzIbtmyxakEe2pqKvviiy+yrVq1YqVSKevh4cFGR0ezTz/9NLtr1y6H61NSUtgJEyawXl5erEKhYB966CF27969LueyJuTm5rKzZs1i/f39WZlMxnbp0oVdt24de/z4cad1rFiWZSsqKtgPPviA7d69O+vm5sbKZDI2IiKCHTVqFPvNN9841D0rLS1lX375ZTY4OJiVSCRsdHQ0u2rVKvbs2bMsAPaVV16xud6ZrLY96rueWZZlDx8+zPbv35+Vy+Wst7c3O2bMGPbmzZsun3f69Gl28ODBrLe3N+vu7s7279+f3bVrl8ux0ev17KJFi9jIyEhzHbCBAweaz7v6plQqFfvBBx+wHTp0YGUymflZW7Zscbi2Nnnx2iTf7WHfR2e4cuUKO2PGDLZFixasRCJhfXx82A4dOrBz585lf/31V/N1v//+O/v888+znTt3Zn18fFiZTMZGRUWxM2fOZK9everQbmlpKTtnzhw2ICCAlUgkbIcOHdhvvvmmXnLrLEvfw6OPPsr6+vqyDMOY51+r1bIfffQRO2LECDYsLIyVSqWsv78/26dPH3bNmjWsRqOp8zjx4MHjjwPDslbxDTx48ODB475h/fr1mDVrFt566y1zqBSPvya+/fZbzJ07F19//XWjvI88ePDgwePvA55Y8eDBg8cfAL1ej+7du+PmzZtITU1FaGjog+4SjzogJyfHIWQyIyPDHHqYnp7ucJ4HDx48ePwzwedY8eDBg8d9REJCAk6ePIkTJ07g6tWreOmll3hS9RfChAkToNPp0KNHD3h7eyMtLQ179+6FUqnEihUreFLFgwcPHjzM4IkVDx48eNxHHD16FEuXLoWvry+effZZp7WjePx5MW3aNGzcuBE7duxAeXm5WXDgpZdewvjx4x9093jw4MGDx58IfCggDx48ePDgwYMHDx48eDQSfB0rHjx48ODBgwcPHjx48GgkeGLFgwcPHjx48ODBgwcPHo0ET6x48ODBgwcPHjx48ODBo5HgiRUPHjx48ODBgwcPHjx4NBI8seLBgwcPHjx48ODBgwePRoInVjx48ODBgwcPHjx48ODRSPDEigcPHjx48ODBgwcPHjwaCZ5Y8eDBgwcPHjx48ODBg0cjwRMrHjx48ODBgwcPHjx48GgkRA+6A39GGI1G5OTkwMPDAwzDPOju8ODBg8c/BizLorKyEs2bN4dAwO/9ceD/X+LBgwePB4e6/t/EEysnyMnJQVhY2IPuBg8ePHj8Y5GZmYnQ0NAH3Y0/Dfj/l3jw4MHjwaO2/5t4YuUEHh4eAGjwPD09/5iHZqUAP38JlBcCXgHA4y8Doa3rf//100BBBuDlBxiNQFBLwMOnYW02FbJSgPw0oFkE/f39f4DKEkAgBNr0BNJvAFoV/ezTDFB4Ae4+QPchQLt+f0yf7ft46H+A1A24ehLoNBDQVAMjZgPdH6l7O03R78Qj1JeITkDaVeoDywJxqwBVNRAcBUx9q+7PSjwCXDwCePoB/cf/sesh8Qiw92tArwOCImzXY1YKsPl9oDibzhsNQNs+QEkOvXPiYeDwelrTYKn/YACRGGjdAwhvD+TeA9r3BYbNbPq+N2ZeuXe7c4H63LoH8NRbtu9ekA4Ehj+Y79MZEo8A3y8C8u8BBgMdEwqBNr2BF7+kn5tynVuhoqICYWFh5t/DPAgP5P8lHn8pFBUVISoqyubY3bt34e/v/4B6xIPH3wd1/b+JJ1ZOwIVZeHp6/nH/gbXvAXgsshgrYdH1u7+6EFCXAZHRQEUeIBYC7WKAEbMARtCwNpsCmcnAoW+AsgLAOxCI7g00DwekbYGUi0BRKgAd0DwCyL0DGNWAWxAwdi7Qa+SD6WPMOKBZCJB7F/D2AVQlQHBLIKoDUNN64NrJvQuIJMC4eY1/h1YdgUshQO4t6lNUB+BqPFCcTkT07lkgPYnWT23Y/y0Zy5UlAAMgYRvw/t4/Zl1kJgNHvgOyrgG+wUBpFqAsAjxN/W7fA3j+Q+BaPBC/A8i4AVw5ArTtDbjJgezr9NtKIAZkbkCv4UB2CtCqG5CSCBy/ABj0QFoSEN66addObfOamQzkpQJBkc7HsroQ0FUAbboChZlA/9G28+XhDlQr6O8/g8GcmQxk3wQq8wDGYPlfgmFpLi4eANKuADotfS8TX70va4gPd7PFA/l/icdfChqNxuGYh4cHv1548GhC1PZ/E0+s/kwIi264gRIUCWg1wPV4MjANOqDH0D+OnLhCXioRlpZdgHuXyaAXiYC7l6iPrboBl08AWcmAXguAIY9FUTZw/qBrY/W+9lFAxmJ+GsAa605M81LJ+K4sBUpygV1fkMewMf0Pi7b0hevDnq+IHHFIvVp7O+cPAFveByqL6WcWRGS//Bfw8ld/zBjrtUSqSnLJM9kswnKeIycsALEU6PMocCcJ6DEMKMwGlFWAfwiNbVg0MPgJIGEXrRODHtCqgRbtiGylXGyadc/1qTDL9bxmJgNxH1tIuVOSwVI/q8sBNy96D+tn1Hr/HwiuP7fOARql7TmGoe829Rp9w/3G0nvlpz3YPvPgwYMHDx5/EvDE6kGhtl3u+oIjZclngbC2ZPCUFTT9c+qLoEgy5g/9j8K/WBbIvA1UlVKIUfoNILgVUFFIhltlKSCTA0d+IO9AcMv7b2wGRZJRe+8y/c0RmPo+MyiS+lySSwRCr2sao9O6L5nJQEoSET6DkcKz7iTRcc7Qt5/v8weAta8BJXmObd/8HdjwNjDjvfs/xsFRAO4SqRo3z/adOHIhkgBiCa3fiI5EQnZ9ARTnECmP6Ag8uYiIU1BLGt+CDLo/O4WIS+vuje+vfZ/0Oufzak/Knc43A/iHAiGtiaQVZVtOcff7hxAhvBb/YEkK1x8PH1PYpR2kcvIaapS07iI62hJkHjx48ODB4x8MXnLpQYAz2vZ+TX9nJjdNu72GEzEoyiYDMyMZePtRymmq7TmZyeQhaqq+cLh6CrhzCSjNo7/P7iVSJRQTsVIrgaHTgI6xgMKTcme0GjKSK0sobyY/rWn7ZA/OK/TYC7Ykrr5jEhZNhCGqK+DhS6SwqY3OvFRALAY8/IhoePiS4Z+fRv3c8DawaRn9nZlMf7asAHLuODeUdRryGF6Lv39rALCM8eAngZgJRIqs34kjF4WZQGRn4KFHgYAWwLEfgdQrtF60GtN4MkQW81Lp51HPAi98Cjz+Ev3dFN4qa8Kk15LnzNm8WpNykQQoyHQcv6BIui8lkQhi/A7LNRwZP7uXiFvi4fsz/nUF9z5VpbTOGLv/IlRVAFgiryOeadz3woMHjyaFl5cXjh8/bvPHy8vrQXerXjh06BAYhjH/EYvFaNWqFZYsWQKtVvugu1dnaDQavPHGG2jevDnkcjn69OmDI0eO1OneEydO2IyB9Z/ff//dfF1VVRXeffddjBgxAr6+vmAYBuvXr3faZnZ2NkaPHg1PT0+0b98ee/bscbhm586dCAwMRHl5ucu+GY1GBAQE4L///W+d3uWfCN5j9SBQp13uBoAzKFMuEqmK30Z5EEIxHXf1nPsZjnQtgXb4fYKp/bICMlS1KlO+jAIIbEHX3kki0YLqCtoxdxYy1lSw9+zYe6gaOibWnpT7kdcWFAkIJeQxEAhpvDx96VlX4ymESywlA/5aPHlKlBWAWAYwWkAgIyGTklxT6CUAZSWFE946d/9D0rhnJJ+zPMOaXIAhARaA8qyUVSQcIhRT6OjFw0S6q0rp3YJbUk4cGCB2YtP1OSiSPGcXjwABocCASfTHfl45wngtnkjR2b2278ZdE9kZuHKS1nvGDYtnKiyaSFtRFoXFPujQOuv3ObKBNkPU1bTWBAzgFQgMmw7ETmqa74UHDx5NBolEgkGDBj3objQKly9fBgB88sknCAgIgFKpxPbt27F06VJoNBqsWLHiAfewbpg5cybi4uIwf/58tG7dGuvXr8eoUaNw/PhxxMTE1KmNefPmoVevXjbHWrVqZf53UVERli1bhhYtWqBLly44ceKEy7ZmzJiB7OxsfPTRRzh9+jQmTZqEW7duISIiAgCgVquxcOFCvP/++zWS8XPnzqGoqAijR4+u0zv8E8ETqwcBZ6FnQOPC9sz3mjwBv/wfeSMYARmkaqVrgtIQolfXvnaMARJ2AqW5ZNxH9wY0KjIgtWryUrFG4OhGiziAqpK8K6GtbUPGmgKZyURALh6uOfne1ZjU5b0bkytXF2hMhq5/KI1fj2H0vKvxAFgKqQRL1wZFAqFtgPICwCAlT8O4eeTFun0OYISAwp3uuR9k3xquxtSaXARFADd+J+ItkdH7cQTQ3YcIJWu0hOhVFJGXSyxteoOetfvb1bxyIYE6rfPxO38ASDlPDYkk9F1yOH+AvLp6La2t++HlrC+49/QPAY7/CFw5AVQUA+6+5FFu06vu3wsPHjx41ANXrlyBTCbDvHnzIBQKARBJCQ8Px08//fSXIFbnzp3Djz/+iJUrV2LhwoUAgOnTp6Njx454/fXXcebMmTq1Exsbi4kTJ7o8HxwcjNzcXAQFBeHChQsOJIyDSqXCsWPHcOLECQwYMADPP/88zpw5g0OHDuG5554DAKxatQpeXl6YM2dOjX3av38/wsPD0aFDhzq9gytUV1fDzc2tUW38WcETqwcBZ4IEXBhXYRblzbTqQaF9dQlrss8HKc0jrw9ARigYoO1Drg0dV0SvLs+rzZjtNAAIawPkZwDNWlBOxp2LRPikClJ4O38QSLtGhKuqlO7Ta4FKXxIu4PKHGguu36lXyWPTZ7RrD4GzManLe9/vnLa8VJIYbxZB7xDahsIoAaBTLBDdhwiKfygdD4sGZr5HHgjAcgwAtq6wyPuHdyAvF+ehuR/GvasxzUsFAkKoz5dPAFVltG4FAkDuAfgG0XpQVpL3M+0akZPMZBJR0KpJwjz3btMZ9JzYRvehromC9VxzXrfEw0BAmGX8zh8A1iwgYqJVEzFp25vm4fwB4IsX6Xs1Guhc54FNt24au1GTsIsENzz96feJuoq+T9ZJSGl9f4fw4MGDhxNcvnwZHTp0MJMqgDxxzZs3R1pa2oPrWD0QFxcHoVCIuXPnmo/JZDLMnj0bixcvRmZmZp1r0lVWVkIul0MkcjTXpVIpgoKCam1DrVaDZVn4+PgAIFU7b29vKJUkUJSdnY0PP/wQ+/fvr7Uo+759+zB69GgcP34cQ4YMwc6dOzFu3Diba7Zs2YKpU6fizJkz6Nu3L5YsWYKlS5fi+vXreP/993HgwAFEREQgKSmpTmPwVwNPrO437I0b6597DrdcdzUeuHaavBHKCgrBuXCQztVGrqxzVJKOWXJvNEoTgZGTOIQrguKM6NX2vNx7FKbH5UC5uudqPFBeTP0pziPPVFkhoNcAHWLIM5H0KxmdRlO9HEZISm+ZycCOjx1DqxqKq/FklAdHUn2kmpLvnY3J+YM178r/EeFQNYlAcCTKnrDnpdoSKoA8m92HkedOrwOO/mA5x+L+wH5MAdvxammq1SWWUh+MevJaqZW0Pgw6IuKqSgAM4BcElOYTkawoJmLizOhvEFgib9dPO/ci2W9mRHYGVBXk+VNVmryHAG4nEjlp0Y4IvX8oMHwWjcWp7UB1GW2kaFXU1v61QHTPxueJ1Xctnj9AfW3Tg55t/TvlxhkaVw9TLZzjP9Lf1n2s7+8QHjx48LCDVqtFcnIypk2bZnM8JycHN27cwMCBAxv9DJ1OV2MOkTV8fX1rJRrOkJSUhDZt2jjI3Pfu3RsAcOnSpToRq1mzZqGqqgpCoRCxsbFYuXIlevbsWe/++Pj4ICoqCsuXL8fy5ctx5swZXLp0CV9+STUJX3/9dYwcORIDBgyosZ28vDwkJSVh2bJlGDRoEMLCwrB582YHYrV582ZERUWhb9++NscnTZqE1q1bY/ny5WDZ+2VoPHjwxOp+IjMZWP82hSoFhFFNqYRdzo2dkjxSz+PChFgjGYt1kY62zlHR6ykXQq0EhCIy9ALC6qZQV+eFzpIxm36dRDJqMmZL8sgTxTBkGJcXEtnTaclg82tOJMrLHygvorY4gmU00rG0q433RGQmkzehOJs8My3aAx36Az417PbYh37VtitfWzhUTR6EunoXajNguZ/zUoG8e7brjctFAgscXEeGfmUJFZMuyaP1MmDS/c3zsR5Te6LatjcVQk4+S+vYwxT6JxBQ31SVtJa4nMGCLACm9SLzoDVmrbjXUHDeGr2WvquYcZb+ggXAkGeZIx5n99Ia1aiADv2IjB0qpw2B6F70jdy9RO0VZVHbQS2JxLh5A4UZ1L5ETgSyKeTi6xOax3nVODn4wix6R7GE+gKGjpcX0liX5gOXjgFPv0PCIRzudwgsDx7/FAy7jzXcDv95DdobN25Ap9MhMjISRUVF0Ol0uHLlCt544w0IhUK8//77jX7G6dOnMXjw4Dpdm5qaas5Bqg9yc3MRHBzscJw7lpOTU+P9EokEEyZMwKhRo+Dv748bN25g1apViI2NxZkzZ9CtW7d692nt2rWYOHEifvyRNsbmz5+P/v3748yZM9i1axdu3rxZaxv79++HTCbDkCFDwDAMnn76aXzyyScoLy8352UVFhbi8OHDePPNNx3u79KlC7Zs2VLvvv/VwBOr+4mT2y0J6yU5gH9zi7FzPQGIj7Mk3DMsbFwFGhUZWqyx9lC4sGjALxgwspQAn3OHFPf8Q4hESKQ1527U29PCUNute1AYEyNwTgwyk02KbkIKJfILBnRqoCSfcmcMOjKcK0rIKJYqAHdvIlMGHbVbXUGGXmM9EVxoF1cfqUN/kum+faFmj5j9e8WMI2Ozdfe6hQ/WZYwb4uliWSJO9t7Qq/FAwg4Kp9PryBAOb0eiEZm3yHNYWQzk3DPJ2xeTp8W3ORn190tCm+sbQCGLAM2rWGIZr46x9OfUdiLB1RXk3dRpiA8KhPSJ6NSgAyYYDJRrxRroPnvvXH3BkZIOMdS3omwiQ7l36d/+oTSO1sSjeRSN8a2z9DMnRBHYAhgyFYhbZSIlBZaNgqCWwEOPAb9uJFKj0wDeAU0jF1+f0DzOqxbSGsi4CexbS9+3SEJktyyfyiDotQBYQCgncrVtJYWNPuhaeTx48ABAJkCxzvaYn5j2Wv8KuHLlCgDg7bffxttvv20+PmjQICQkJKBr16413v/oo4/iqaeewlNPPeXymi5dutRZna8uYXbOoFKpIJVKHY7LZDLz+ZrQr18/9OvXz/zzmDFjMHHiRHTu3BmLFi3CwYMH692nIUOGICMjA9evX0fz5s0RFhYGo9GIefPm4dVXX0V4eDjWrFmDzz//HCzLYsGCBXj++edt2ti/fz8GDx4MuVwOgPLGVqxYgbi4OMyePRsA8NNPP0Gv1+Ppp5926IN9e39X8MTqfoHzkCjLSaJYKiPjRCwhUlWUDVw6DuSnkyHtEwxI3QF9mYlEsGSIXT5JEs41GdvnDwC/7SHj8tJxsjm1GiIocncgMJwIgav761tLhwtHKyugv1mjc2LAkZkug4Dzh6h/VeX0XgYtoPAiw7OsgHbuq0opj4PzWLEGwDOADFl72ef6gjM0ufpIPkGUz1NTOKM94YnuRUIceh3Nm33x35qIV00eBC5EsS6qcFyfrI18ThkvYRcZ97l3aDwrS2i9ZSUTuZXILcp2WhXNjdFIHkNVJRHl2rx4DQHnuU02kY4W7QCFB3ktRRKSVufyxPJS6fkevuQlyb0DyN1oPRt01FcAtvGKLK356N7UZmO8bZnJjoSPBc2dTxDVXWvdg5TyHnqUPH1ndlNtMaGYBDakcloDXK7Vsc1EmkRS+l2g11u+mSunKPRXKCSrKCjSVoq+oahPaF6bHjTW2SkUeikSWRXLZqjfEplJVMYA6IqJ5JblOxbBftB183jw+AejWAcEnrQ9VjAQCJA8mP7UF5wi4L59+yCRSJCfn48VK1YgMTGxTrLxN2/eRMeOHWu8xsfHB4888kij+6rValFSUmJzLCAgAEKhEHK5HBqNxuEetVoNAGZiUh+0atUKjz/+OHbu3AmDwWCTg1ZXuLu7o0+fPuaf161bh7y8PPznP//B0aNH8dprr2HTpk1gGAZPPfUUoqOjzd49nU6HI0eO2IiHtG3bFr169cLmzZvNxGrz5s146KGHbNQLOURGRta7z39F8MTqfiEvlciDRGaq/WIEsm8D/mFAZCcADBmxnJHdKZYEBG6fI8OLEZA3Ryono64mY/F2IhnK4e0pvItTUWNBRtuNM2Qo2hMBDvZy17Xt+tsbba5IA0dmbp2jnCqDjgxMd2/qo5sXGapqJRmqABlyLAtAQCFgMgWNV2M9KNYy0qxpcIqyqL8SGXmv7GH9XtcTSHSjKJuKxALOQ/240Dt74uVK3MA+RLFt75o9i6e2m/LbrIz8sgIy5MsKgMAwWmda+gUOqTugzAWEbrQOLxwEQtoQQcm5S+tL5k7rTSwlD2NtXrz6Ii+VwmElcprbrNt0PLw9ecwCTLHm1jlLOg3NjUFvChUNNHmlGMBovSVrClMTiYlIRnSkudz8viVfqK6wz5uyJnzJ54jMCoRUVDm0DW1E3DpH46qptuQM6nW0jhmQ4t/ZfaYQXw2Ncd8x1O+yAsDdi8aEEQKsBshKoT40xdjXNTTPukyDdyAJmFw8QmSvyBTyqKww9VNApJBlAYGIcsSsFTN5yXUePHg0EFeuXEF4eDhGjRplPta9e3e0b98eX331FVauXOnyXrVajaysLLRt27bGZzgjRK7AESVnOHPmjENIIRc6GBwcjOxsx7D03NxcAEDz5s3r9Hx7hIWFQavVorq62iF/q76oqKjAm2++iVWrVsHNzQ1bt27FxIkTMXbsWADAxIkTsXnzZvM7JiQkoKKiwmZuAPJavfLKK8jKyoJGo8Hvv/+O1atXO31mQwjlXxENIlau4kd5WCEoknavGQGFvRkNZGirq8n4Uyttw3TCoqlQbmEGqb2JxORNKMoieeOaiAW341yUTYafNRgGkLrRLrwrcsbJXeekAH6hFJpX266/vdHmLOyIIzN715DcenU5AJbC1KRyUhsrLyICZTQAYEwpLKaaOR5+lOhvXzOnMbhlMpCrTcmrbl7074SdJgVDu5wqjgwJxfTHN9h1fa3aRD1UFfQsdy/beypLSPygMMsinW4PzuuTdZuMXHU1EZX0G6SaZ2SJPFcUE+liQGNalkeGsLqaDGWAxtjDh4x8dTWgK6Fz1+KJZPYb27R5VkGR5EHLvQvARDiUlTSOvkHUP3tyHhZN3iD/MIvXSigiIqY0ESuhmMJcfYMoR6/ncMC7GRn3XL4QUHdyZd+HgDDL+098lUht1m0ieMnlVOC7tMCyCZL0K+ATSHmD3YdRG+f2EfHiCImbj4U8ewdSKK1YRuGNLEvELLUJcgrri14j6U9msqk8Qj6tM4A2N5Tlpg0Phv5IFQBYmlfuO+Al13nw4NEIXLlyxSzwwKFdu3bo2bMnduzYYUOs9Ho93n77bXz99dfw8/PD4sWLERUVBYmkZvecM0LkCjXlWDkLKeRCB7t27Yrjx4+joqLChgCdPXvWfL4huHfvHmQyGdzd3Rt0vzWWLVuGyMhITJ06FQDlfVnnbjVv3hyXLl0y/7xv3z60b9/eYTyeeOIJ/Pvf/8bWrVuhUqkgFosxZcqURvfvr4wGEauwsDAMGTIE06ZNw/jx4/+2WvSNRkgb4G4ShTHp9bR7Hd7Rkktir96WfJ6MRK2ajBl3XyBmbO3EgjMcLxyi3fTk85acJKHYVGBVSCGFrvK1AkIoryvlQu2CFPaoKewoLBp49AUqFFxdQca/UEL2WcZNk/FmCusSCEle2yeQjOhuDzt/9/qGG3H5PWnXyGjVaciDYtTTvLj72O68W4MBEUGjnuZGpnBU4zOjBlGPq/FAxi0iMxm3rMItTfdwRMA/xPk7XI2nUDpGSH1t2ZlCtjhvUHUZoPAm8YfOg8hLeSfJVBxYSiFyjIDIQn4qeVXcPCi8i2UBoYCm4X7lWbl5AH4hFOqpVVNRYxb0zozAQjQ4ch7egcQiSvMoZDS6F3mrsm+TEAQXLurhSx6t8iLg7hUKuS0roPDIouz6CUHUlpeUnUIkSSSmsN5Lx0ilUK2kTRCjDijKob5xaoISuamQs9EkJBNC6+JqPBDQgkjWb3vIk6jXEmkz6JtQ3bCeuBpP36VGRete4UFrSOZmqhtm2unVaYjsxoy3+g5qUVLkwYMHDxfIy8tDQUGB01C+4cOH44MPPsDNmzfRrl07AMAbb7yBmzdvIjU1FZWVlejXr5+DCp0zNFWOVU0hhRMnTsSqVauwdu1acx0rjUaDdevWoU+fPmZFQKVSiYyMDPj7+8Pf3998f2FhIQICAmzavHz5Mn755ReMHDmyQUqF1rh9+zZWr16NU6dOgWEoAa9Zs2a4deuW+ZqbN2/avP/+/fvx6KOPOrTl7++PkSNHYtOmTVCr1RgxYoTNu/wT0SBitWzZMmzZsgUzZszACy+8gLFjx+Lpp5/GsGHDGj3hfwtY10tihESwUi+ToZKdTKIDnLGXl2r5u6wA6DEcSDxECfluXlT/qS4IakkGnsyN6hIJGDI6wZDRmX4TOPR9DSFeTgQpantHa3JTW9iRVwDtcutURK4AIk86CRmdAiEZ/b1H0rWpVyiczj4sqiEy0luXk1gDQHlbBgN5EYtziGDotURS7I3Zq/HAvasUpqdVUQ7Y+Pk0RmAcSWphNhnSIa0tUvfW0GvJ6OZIAYA6j3tprqWOk0FHxEmrImKo1xBZE4nJs+DmRWtNJKZ34pQmDXq6Tyim52i5BFqWiJexkkhtn1EWQtsUOTNc8dwO/YDTu0wbDRrqZ0hrCxm3Dy/18LF4CC8dJ0KmMuXgcQqWFcX0XmIpGf1unuSFu3eFCHB9hCBcbRCcP0C5RMW5NIcqLa1XhScg9yRvIScBbzQAegPQdTA9uzCbPMpFOUTgRz9HiozW+WblhfQNcFBXU3hvQ0UhXM1ZXedSrzWNs57WnLsX9bMwm74BRkjfrrsP5UhaF93Wa+lPYN1qtPDgwYMHYMmv6tSpk8O5YcOG4YMPPsC+ffvQrl075OTk4Ntvv8WdO3fg7e0Nb29v9OvXr05Fa5sqx6om9OnTB5MmTcKiRYtQUFCAVq1aYcOGDUhLS8P3339vvu7cuXMYPHgw3n33XSxZssR8fMqUKZDL5ejXrx8CAwNx48YNrF27FgqFAh9++KHNs1avXo2ysjKz0uCePXuQlZUFAHj55Zed5qYtWLAAU6ZMsfEOTpw4EY8//jgWL15sbmfv3r0AyHN38+ZNrFmzxun7Tp8+3VzI+L333qvvcP3t0CBitXjxYixevBhJSUnYvHkzfvzxR2zZsgWBgYF48sknMXXq1AZp7f9twJGk1t1JDbAkhwzZsGjLLnpQS1uCEDOO/k48RMaizM02B6sutaXSrlJYkW8QiRQYWWDvV2T0adVkGEndXBfEtRakqGm32Z7ccDLergw2TsSiQz/yhngFkIekOJfGRSYjEYaAUCJTWbeJQDh7/7qGG3HG3tEfgLTrFkluoYi8YiV5VupyAnoeJ9WdmUyKjr/tNvVdQ/1UVgCXj5PRrtPaEjsuV6qqhIxP+1ypgBCam+oyCp/iPFNBkRTymHvPNvfK/l0SDxMR0mkt+URc+CRYapcRUBggaxKkUFcDEoVJ9MEUPmdkAcYIuHuSV4JliWgZDdSXgDAKPeXeiQs/VHgCTy1qmLHPeYJSLpLXo8sgIvpdBlL43tV4Gm/fIBonzgtXmk/fgtFgId7V5RRGqlFSbphWZZLy1wNGJc2VQGTJ4auvEIT9BkFmMhVSTrtGY+sfRutGo6Rxa9mJ5vXEVouwhlFHRGnXF7SufIJpw4QTBUm9QnMjktL6FctoTVaX0hwKBOS5agi4QuNZKeSl7vc4MGAyndvwNm0UCIXAuFdspdI5dIolhcjKYno/hQe9c6vuls0JbmNA5mYR4Ui9SrltIW3oOsOB2kV3ePDgwcMEThHQmceqb9++8PDwwP79+7Fw4UL8+uuv6NWrFwIDA83XFBYW1ipc8Ufihx9+wNtvv42NGzeitLQUnTt3xt69e2utFQUAY8eOxebNm/HJJ5+goqICAQEBGD9+PN59910HUYhVq1YhPT3d/PPOnTuxc+dOAMDTTz/tQKz279+PU6dO4fbt2zbHH330UXzwwQf48ssvwbIsVqxYgZEjR5rv8fLyQv/+/Z3297HHHoOPjw+MRiPGjBlT++D8zdEo8Ypu3bqhW7duWLlyJY4dO4YtW7Zg3bp1+OKLLxAdHY2nn34aTz/9NFq0aNFU/f1rwFqBLroPyYz/vodIg0RGRhcnQsCRB0ZA4U7nD5DxaDQAv/1MSmd1CakpzCRjVau2PKPCVBeLZckwVZaTUe6qvYAWFOrWc3jNxpC9qMOuL8hj4MyDlJkMnDtA4XFcoVeNkshFdC/KERKKyLum1wPRpjb1Okqgd/OyDWGsi4y0tcewIINClkryiUjIFBYlPAgAGOm5GiWRF/8Q8nClXDR5cTiFQiNgAJB5m8ayz2jbPKS8VDJGg1oCBemUM2UzhgyFR/k0I8Jg7ZliYBE7cIaT24mQGg0mD5RJnITrPwfWSOPsFwyMeo48CGk3gCqTZ4p7FwFD66JZOFBeQGSLNVKYnqevZUyvxtNcqJVEVLaucC2AUhOshUMSD1N70b1one36gvLedCry9onEREDUVTRORiN5ToQiGm+pgghYVRn1iTHl54nFNLZlhTQmYim11dg8n6vxJPKh11GOWGQnYOanFhLOiVtk3KDvz82T8rx++5mucfehv0vzaI1XFNO3qlHCnKsU2ZrGP0tlysn0oFDIhvb32mn61jVqWpepV6nfl08S6TcaiGS5kkqXyWlNGEzfhcKdwvsqi+l3CcvS2Hr502ZNWQEV3U67SqHEABAUUbvoDg8ePHiY8Nprr+G1115zek4sFqOiosL8c1FRkU24WV5eHs6cOYOvv/76vvezrpDJZFi5cmWNghuDBg1yWih33rx5mDdvXp2ek5aWVq9+jRo1CpWVlU7P/ec//8F//vMfh+P79u3DsGHDIBI5pwwCgQAikQiPPfaYWVLeGkuWLLHxyP3d0SSqgAzDIDY2FmVlZcjOzsbhw4eRkpKCJUuW4J133sG4cePwxRdf/HMEL5yFFEV0pPowBh3JL7v7kJFjnY+QfN6SX1VRQgZoTTLp1ijNJ2MnIIxydn77hYw8iUmFRSgCQqOd5wbZy2EX59RsQFuTG5GEjM7o3o4eJK7dKycsuT5gKbm/NJ9yZarKKIdGLKWwr3uXyYOjqiSvUkEG/Z14GJj5Xt1kpK09hgXpgMrkXdBrKQxNWUVERmxSnxOKyEtXUQIc/9GkYqiDOfeLEVIIoUgMRHUh0nXpOBBpnYfEArmpZEALhERIrEMFgyJpnrn8H+uEf50W6D7UtQfOnHdjfZCF3QEyyjl1v7a9gYGTgS9fpPE3miT8xVLApzkVBXbzonVYVkBkRa9zFM8wGEzERkwha9a11+oD7npO/6BjLJGAlIuUA6jXWWTIlVU0L0Y9XSwQ0BrpNYI2IhgGuBIPpF0hInz9N8DDmwiZsoK8WELGucBIg4o0241zUEuL0ANXm6vv47S2NNU0VwxobPPT6BtRVRCRufk7/Q4QCIngFGYBzVoAA00e5t9+obDU5POOYip1hUFH88aA1nZhFn1zOg2Nr0Boyqe8aHmPvFR6z/OHyNtl/Z99UEtam0KxxSvXPMqkfgj6XZB6lbzhUgWR9TtJNMd8nhUPHjyaGNHR0fjwww+RmZkJmUyGGTNmgGEYpxLfPBqPQYMGITY21uX53bt3o7CwENOnT/8De/XnRaOJ1fHjx7F582bs2LEDFRUV6NSpE1atWoWpU6dCJBJh3bp1WL58OaZNm4ajR482RZ//GrAPKQoII6KjqiIjJqQ1Eaiugy2Gapse5G0qK6TQIC+/utdvatMD8PQjI1zuTsZZhxg6F9mJiJ0rCXV7OeyaFAS5d+PIDWskiXFrDxJnqBVmUbsiCQCGjDmOuIlMCnZaNZEogxYY8yIZzanXKPQqIJRqMDEMhdid2g606QmLde4C1h5D3+ZEYOVu5B3Tay12MmsweTz0RPJ8mlHbnFw9YCFgLEvzdes83QfWzt5miKgYdGQg56fb1gNzRQiDIqn9i0fofa3HjzPwIzpQ+1w4H1gKd+PqnQlEdI7LETPogT1fUVuch4HrrEFPjq7Rc+ndjmygsa0oIm9V6lVg/3cUEtYpFghrY8oVFJBhbl17rT5GPxeiVphF79nR+pc0Y+mnWErPEQhMzjiWCIiqkkhVpwHkjSzOovWUfZdC29r2IWLr25xIfmGm5bsyr8dMSx2y4Jauc/dEEvI4cqGJwa2A9Gv0DQvFRC69AynM1Bwep7d49mRuVFJAJKVvsW1vIjHnD5nWupVcvF5NRcTzUkkB0z+kcap6nWKBVj0ol1KrImIVEEoeMO8AIN9U1kAqp3ewDvesKCJvubrK0p7O9L34BJtk8k2e1cIsIsAlubT5E9gC2PkpUJhO81icbauqyIMHDx5NhBEjRmDkyJHo0KEDQkNDMWTIEBQWFvI5/vcJr7/+utPjZ8+exZUrV/Dee++hW7duGDhw4B/csz8nGkSsLl++jM2bN2Pr1q3IyclBUFAQ5syZg+nTpzskHi5cuBAymcysjPKPgvWONufRKMmh3eRbZynXpHV3i4BFUEug/3jg/H4yiPxd5Nw4g30tmuTzZJwFR5EqX20FfwPCqG9gLAZ+TbAnjlxRXMDWQBWJKB+Iy2eSykkdLrglKaFxeUJCERn6nBx6UTYdFwgtOTOJhynHybowrjMD3zr0LH6HKc8tl9pjjSYpe1NYnFAI6E2kw7qeFgepgmTh3b2p7tLve8j7o9OSShxHnoIiiSyX5ZMXTlNFctz+IZa5cSXwwVr9nXfPUguLC60MCCPSVq6xeBKEYgCmkEaWexcRYDCSUEJBFoX8iaS2ohxGAxnPDENjqNdTWKa6moo3H/8RkP5MZGD4LPIilhUBWiXlWdUn788aV+NpbsVSItZ7viJlPQZELCUyGiuBiLx+6mqL11AopjbSr9NYlBXQpsGZ3STMotcSOYnsbCk8HNKGxvP8ARrP3LtEDLRqS90sZ7l7/iEksHHlJK3Vtr2pDELCTprXqlLg973kFVZWWEQntCoAAhNZZ8jD1mUgkHmLwuVkbibC7hj2ARa0yVBRXHuYa20Iiwb+9Rmty5I8S/tHf6D2hRJa8z5B9DuiJJ881UYjjbu1iAYAgAFKsgDfUCKaQjHNn1cAjcU5Uy5VQAsLCQND39Jvv5DX9C9Orj744AO89dZb6NChA65du2Zz7syZM3j99ddx8eJFeHp6YvLkyVi+fLmDHLJGo8E777xjk2/x/vvvY+jQoX/kq/Dg8beAQCDA+vXrsX79+gfdlX801qxZg02bNqFr1678XFihQcSqW7dukMvlGDt2LKZPn46hQ4fWuFPQoUOHOslg/q1grUYnEtOOrkRKBomRJe+Vb7Alwd3Dl4zMimIiXnL3Gp0yTsHVogFoZ7+mcDlrhEVTmN01EwmsqTiwPeyL4kb3thWXaN0DyEszGW0mRT6RiIiKNaNQVRP5KSsAwtoC5cUUdlcWTsYfJ8AQEGZbGLcmA78kj8a2dQ8KuYzoRB4wjuQJJfRvhiXjXiojQQSRmObIqKd/67VEWm78blLYY+i57t62xZRnvkdz/tvP9J7pNxzzkqzDrsDQzr/eKhSQK/Rr7bUIiiTPSXkRACN5j6K6UJ5X1m0iqBVFJqPYSO0KYPFo2UNv5fkyaC1CGAwAVkpKcKlXqS8VxUQwuPYbJaXNEunQKIGTP5HHSacGQqLJQxU7kYz3e1dpcyEvjebAYCq4m3nLVKsqkEItS/PJ28aYwuq8A4HBTxDxTjxMghLV5UQ+3X3IW+zp57wOmbXAhsFA3kkWNA49hgEvfEaeqt/3EgmsKqX7OPVHo5HWEWuktaxwpzVUmEXPE4joOBdKZwMjjXG4yTPJhUo2lJBwBJ7zwl09RXliAI2jQEDPKiug9wRjyrNzEl4qFNB83LtG5Bqm/LyiLNMmhcRSwkCqIIJpNJhy3ER/+RyrrKwsLF++3GlJkUuXLuHhhx9Gu3bt8MknnyArKwurVq1CSkoKDhw4YHPtzJkzERcXh/nz56N169ZYv349Ro0ahePHjyMmJuaPeh0ePHjwaDLw5NY5GkSs/ve//2HixIl1LlI2ePDgOhdk+1sgMxnYsoLCywDyeCgrKdm7upwMNy8/ykPITiGCxRmwQZFkkLfoS7v2DTVMapM/b8z11qFq9ip9XM4Ft+veczhwNYG8KFyYnV4HNG9NoYd6k6Gp1wHZd8hAO7sXAENGWswEi7egshRg75H3pjTftYHPyWNXldF1Yil5ZQQCCocqzTPlXGkon8vNk4hsSGsiOFnJdB9A/TNaiW4Y9KYizCx5A3VayxyFRZNBfP4gYKimZ6gqLec5Q5fzyPmHEqEWSyz5akaWyIZ1aGBYNDDzfeDz54DCHHqPsnwK/2zTk8K+lJWm3B6BSSXP5Dkx6i05YgCNa2AL8swk7KLrpHIKd8u4QXlmDIhwGU2Gc0kuEVqx1DZ0tT7oFAuEtQcK0sibU1FkkoevoOd6+BJpU3gQWSwrpDlRVpDBz4mbMALy4sXHkQe4soTmUaehWmkaFeUTFWTSMU6RUiSx1IcKae2YaxgWTSFtOg3NWXGOSbjB0yJqYmRp3EsLKJeK2/kICKO8IoOeyIVYQrmBdy9R3pVYCkhFVqIj3FQIaS69/MmrnHze4qm0CZWsJ6xDcVOvUJtGO0KXd482GnoOp+tTLtLYa5Tk9QRo/BUe5G1TVQE6AQme5KXROynLgZtnKGzZoDWtETHlNDZrQe3/xXOsFi5ciIceeggGgwFFRbZKjYsXL4aPjw9OnDhhLgIaERGBZ599FocPH8awYcMAkKTyjz/+iJUrV5ojN6ZPn46OHTvi9ddfx5kzZ/7Yl+LBgwcPHvcNDSJWM2fObOJu/M1wNR7IvUP/1qgocb1tLzLaj24kw62ylEiWTEGGa0grIlilebUTh5rQFHWHamrLmdQ650HQay05F1zR17Bo4PYFGg+10pIv49uMQh0zbgBgyaA7t588CR6+VDcnN5XCv8RS8hpcT6B8MQ9/wC/I+a5+ZjKRqruXyEuhriIPg6cPGfOqSov0ukFPeUURnYCewyzGbLMIMtgNOpMstogMbbGUzhsMFE6lqrQN2cpMpr/D2pB6oEhkqdMEWIoUe/rR3LfuQSTLJwgICif5+SvH6b3dvGydB0EtqWaSIJcM3YpiYO83ZPiXmjxzDENqbO37AmCIoOTeoXEozKb+eAcCg6ZY1Nw69CciyynsMQyNl1BMRv+4eeR144hO6+4NX1cMS+RCwND4VVcQSeXyqzjpcZ2WvCN6PcyhgDqNRdEyLJrI3flDlGsFhtpWK4mceQfSXGvVNNaVJUTk81Mt5QjsZdjPHwDWv0WkwWCg8RAIaFOkINNC1FWmYtsAjaeRJZl0sQxglZY1wxroHBgAnGgEAxgZmCeWNZKHtGVn+vZTEhuXXwXYfp9aDbVTbacAJZJQTtqjL9DPXoE0t+G9gNQb5FkXCi1hmZUlNAeefiRQ4eZFY+vuR0qBDEOKiF5+NK7dh9LYNWat/Alw6tQpxMXFISkpCS+//LLNuYqKChw5cgQLFiwwkyqACNOCBQuwbds2M7GKi4uDUCjE3LlzzdfJZDLMnj0bixcvRmZmprlgKA8ePHjw+GujQcTqhx9+qPE8wzCQyWQIDQ1F9+7dIZVKG9S5vzREEtqZB8hgn/GeqeipL3kiEnaS4ShgaIe9+zAyrhjQ7rg1MakrXBXPbQjZctWWg4dKQESKC3ss+J5Cg2a8Z3nWgMnAmZ+p/hMjINJ4dCMZXjkpFk9CVRkZx8GRZCBzRXgVHha1wOIcMn4LXezqcx4K32AyKhmG5K/vJpEHjAvzEwiIVLXqRkQGoP7u/46McqmcDHwGph15U24SGABGi4Q9p9poPV5Sd1KwC21tW2g38TAl9eenU/tp16mPOXfJqA4IJcM0/QaRI2uPZV4qGb8SGfVDICSvFsuaajmZvFJGI8ls+waTV6KilLxQIgkZxgYDyW5znjKuJIBeA2Sb6lpolHTOaCQCBpaM68oSIllA/etZccWW1SbFPw9fCpdTVdFzqkppHXj50zrwDjIJsbjRdxLc0tbLFBZNdbXWvkZjJBQRGRNLqV5aSqKJAIvoj15L3qSug21l8rm1vnU5iaZwYZIMQwS2vJA2P/Q6Wq+5d00kVkD9EopoXYa3J48Za7QVpwAL+IUCnQcCFw6Z5OBB9wvFQFQ3ImVcrtlvv9B6ty9WXVdYf5+//Uzr3cPbUheLEVDbLGuq87aB1qG6mrxsDEPjJJHSejEaaLNj8BO0EcAI6LqEnfQdqqtMXlaTJzrHtKHk4UvrvCHy/H8CGAwGvPzyy5gzZ47TgqVXr16FXq93qNcokUjQtWtXJCUlmY8lJSWhTZs2NgQMgLk456VLl3hixYMHDx5/EzTYY8UwFAZjr8FvfZxhGHh6emLRokUuVUX+lugUSx6XlIsUZiaW0HEuj+PiUUCnI1Jl0FNo0eF1ZIS4EmSoC6yNqsRDZCw2b0UGeFkhhcE9uah2ozgz2bHOFmeIOqsjlZdKCmECAcx5Q9aGa1g0FSrNvmPKVzKFyHn6kkegupxCqzj1PZ8g8sS06kZGcI9hFGZUkEnelZp29blCx7hL41uaD6ReNtUNAhmAUjm1WVZgIXBcuFfiYfIGVZZSXxiG+uzhA5SXWBm8pve8nUjjmZdKRrdUQWIAIikpybXuYSFGei3Q51Hg+hnyUhRlkxelWTgZoXo9eQgkciJXoVberqBIEgjIuEWkSiylkEGx9aYFQ0SEEyOoKiNSoFHT3ASGU56STzMypB961DSuGcC2/5IXgjXlaImkVBZAIjepOJrmLO0aeW/qazCXmAQpdBpa8+VFRHy4OlwCET3faPIGikTkWfJuRrlsMeNhJtrcc7l1zHmTRCIiQ0XZJGTBeU5ZoyXvqijbURgiL5VCKQVCAFbhegY9zXuL9hYJ8bBoWhsFmTS2bl40NxoTqasqgbloM/deUV2BJ9+kjYAt79P3zhoofyn7NvW1OI+8vcU5QJkIOLSuYaSE+z6vJ5BHUKuleePGQSii9X8niQh21i26jxMKYRhaV3otzUdwFJGkNqa6Y4DJM8vQWr2eYCFmAiGtYVUl0GVw4zxvDxhff/010tPTXSrZ5ubmAoDTEiLBwcGIj4+3udbVdQCQk5Pj9BkajQYajcb8s3UdHx48eDQMGzduxAcffIC7d+/Czc0NZWVlGDRoEADgxIkTNd574sQJDB48GMePHzff81fE3+U96oIlS5Zg6dKlTuuF3S80iFhdunQJM2bMgJ+fH1588UVz7YCUlBT83//9H8rKyrB69Wrk5+fjyy+/xKJFi+Dh4YEXXnihSTv/p0VYNOUGVZdbyEF+GhkmE18l47Ikm8gVGDIIq8pMBU4bUVSTM6oSD5EBnplsMVYBMuJrK/JqnwdkL1bgTDY87x69a0UxGVctoh1DGAdMJhW3jGRLiFzP4WRI3rsKFGZYdv8HTaF8k5REkzeLteSCJJ+rWTWNy5VJuUiG5OUTRPpSEi15RgI3oGMMjf0h0xxl3iJFvMoSCpO6fJzysipL6bqqCvLqmHf8jWSAJh4GBkwCwNJ4FWYRSWQEQEUhSVkHtbTMTeYt8jBl3Sb5b52GPHzeARYJ9PgdRESK80h4gPM2tuxE7+HmYSqea7AQRq7OVmWpqfhvBOUDadUmr4UP/ds6zJTz+O38jNYdJ+3PMIBPIJHxkNbkZeMKywa1JCO8Pms0M5lyfQQCupc1gqotW4ET2ggMpxw3sYz+PWCCJR/s7D7HItRBLelb4wQfrp4iz1FAmMnbBtroCGppW0PLuu9BkeQl4i5gBPRvvY7G89w+GhOvAAobfWS6rWw7R+DO7QeObjKpBZoKUAsEREY3vE1e6eataOMg/Trdq9MSKTm3jzYyrEUzrOX66wru+4yPA3CcSNTlE+Tt1JqMdLk7rVW5GxFwa9EK1uR9krvRvRKp7fdv/ftBJAHa97cQZr2Ons/Vo2uosuEDRnFxMd555x28/fbbCAgIcHqNSqUCAKfRGDKZzHyeu9bVddZt2WPFihVYunRpvfvP458LTxGwrbPjMR6EW7duYebMmRgxYgT+85//QKFQPOgu/eWQk5ODtWvXYuzYsejateuD7s6fEg365D799FM0a9YMBw8etDneqVMnjBs3DiNHjsT333+P7777DmPGjEFsbCy++uqrWolVVVUVVq5cibNnz+LcuXMoLS3FunXr6pzTVVZWhtdffx27du2CUqlE79698fHHH6N79+4Nec3GoVMskQDrHXIuJG/wE0RG7l4y5ZwIyaBqaF4VB86o2rqcwst8mhGR4dTKBBJbMQVn4LxeHWJoN9qZWIGD0AVD4XsRHWzrB9m0awpLY0DGXEQn8jgEtaT+FGRYivpynojzB4iw/W8xEY2n3669OLC1SqFWQ+0WZlqJN4A8OPu+BvqOI6Jx7TQZw2olEQgW5E0pNynhKTzonMEkBAGQ140jGXvX0D0ePmSYZt8mQ5wFtWdNquPjqBaUTzMKm+LU6nyakZIj59liGCDzJrBpGRV29vA15YfpSRxA7kHepJIcS5FmsSlMUK8jw1Ygoms6xQKPPmchhdZhpucP0vP8QigfyyggjxFXcDr7DrXvLiEDWiyp/xrNS6VcHN8gkziCzlTf2DrcjSWDv6qMnseF7HGeyrRrtpsU9uGX3oGUo7Z/rUloQUtCCmIpteHlT+MikhBRs147efeIhAmERO7FEiIVlWVEGDjyqvAi4s0wFjLnHwKzjH9EJwpv5BQDYSLgBiNJzfsGU/9L802iJ+mmkEId0K4PkZWKIiKw7j62ipP1QVg0fUfXEmgNewWYcgUl5CVWVpjWiZ6In8NOHguEtaN133WI7ffMeWaLc8ljVZhJRHHAJPKCDZ1Bfa6rIumfEG+99RZ8fX0d8qqsIZfLAcDGo8RBrVabz3PXurrOui17LFq0CP/+97/NP1dUVPAhgzxqhFQATGr2oHvx58WJEydgNBrx+eef2xQTPnz48APs1R+PAQMGQKVSQSKR1PvenJwcLF26FBERETyxcoEGEavdu3dj+fLlTs8xDIMxY8bgrbfewnfffQeBQIAJEybgzTffrLXdoqIiLFu2DC1atECXLl1qdctaw2g0YvTo0bh8+TJee+01+Pv746uvvsKgQYOQmJiI1q1b17mtJoG9ZwewNQKfXExhZGd2U0K8zA3oOsiSk9OY5w5+gupkleaTkWjQmuSUjWS81mgUs2RMXj9NYUB1UYDjwu/KCkhu3Vnu0+1EIgZydzJYrWvcOGu/NJ8MZIOO7otbRYb5qGdr9rZxIYxh0cDxraRc5lCbx0jJ9molebOMejJmvdqToajXmgoJm+4rL7L8mzVQuF9QJJGb0nzg5HY6JzDlzYhlJslpO/EKTnQhP52MU4mMvEghrQE3H4u0OqfE5+ZFBrBPM3onhrGEEgqFdIw1zRdAQinW6m+MkAhiSiL9zIVy2c+dhx/J2weGE7FoHgWk3SCybzTQHMjdTcVtDZa8srqCe6fKUiKjhZlO6oW5EZlv05O8W5m36J6CDCDxCHnNinOorhQ3ntahr9cTyMtYVkhrXqsE9CKa4+pyIokcibX32t5OJC9iq+7k6RSKiPgJhSApch3NeWUJEa74OJpjkcRSIqEom44V58JGdcRoJPEag4Hm1z+UCFbyeTqvrqZnJ/1K/RZLich1Hkh9b4j3OjOZQglL8ogcDZ9F4cCqSiJxRiORzfw0IoblRbSuNVaek+zbFC5r//0HRdK3kXePxiY/nY5rlJbCz/VVJP0TISUlBWvXrsVnn31mE6KnVquh0+mQlpYGT09PcxgfFxJojdzcXDRv3tz8c3BwMLKzs51eB8DmWmtIpdJ/Zn4yDx73CQUFBQAAb29vm+MNIRh/ZQgEArPH/M+C6upqp2Ut/ooQNOQmo9GI5ORkl+dv3boFo5UxK5VK6zSJwcHByM3NRXp6OlauXFmvPsXFxeHMmTNYv3493n33Xbz44os4ceIEhEIh3n333Xq11WQIiyZj1l70gQu7atOTjGepnAzHa6eb5rm9RgIvfAqMnw+MmkNS2p7+ZDBaG0/24Lw9ei0ZonU1oDkS+dgLrvPD2vQgIlFZRiSSq3HjCm16mAQJTDWn1NXArs8tynvO+h73samAcBYVLq22I1UCAbUpM5UJEInJk6JVkcDDhUMkVlBR7OhNEQhNhWoZMqjHvUI5Sm5eZLyKJGQIS2Q0r4OfJPL8wufOZb27DgFGzaVrPXzpT0EmXRMzngxwuTsJCJTmkyEcEGoSm+hFOWs+zej5ApGplpOdpDZroLWlVRNhcAUGRKKatyLSknqVxq4kl0iWXkchjiwoh6jI0UisEWHRJDwR1ZX6K3MzkRIR9V0koXkpyyci1X2oxQuXsJMITZ9HSeSlxzCr8bTaBBBJiJzJ3QG1il5KKDTVjRLQui/KIgKQdo28jNxaatOD+nX3Ep1XVgLVZdSmlx+FRQaEUlhcdbml1lV2Cv1RVdFY6VSmvDHrOTASodSqgJu/U7uVpdR3tckT5uZFOW1eAUDfMfQOeWm0AcMayavoat07A1eMuarMJKV+gcahfT+LAEpVmUXhzysAEMstqpAyd1qPfk4M/rBoIqAGA429uormrDTfUX3wL4js7GwYjUbMmzcPkZGR5j9nz57F7du3ERkZiWXLlqFjx44QiUS4cOGCzf1arRaXLl2y2cnt2rUrbt++7ZAjdfbsWfN5Hjz+acjOzsbs2bPRvHlzSKVSREZG4oUXXoBWa8lzvXfvHiZNmgRfX18oFAo89NBD2Ldvn007J06cAMMw2LZtGz744AOEhoZCJpPh4Ycfxp07d8zXRUREmG3BgIAAMAyDJUuWAAAGDRrkkGuUlZWFsWPHws3NDYGBgViwYIFTzzNA3/KIESPg5eUFhUKBgQMH4vRpW3tuyZIlYBgGd+7cwcyZM+Ht7Q0vLy/MmjULSqXSoc1Nmzahd+/eUCgU8PHxwYABAxw8awcOHEBsbCzc3Nzg4eGB0aNH4/r16zUPvNWYWTsvBg0ahI4dO+LGjRsYPHgwFAoFQkJC8N///tfmvl69egEAZs2aBYZhwDCMTS2r+ozFjRs38NRTT8HHxwcxMTFYtWoVGIZBenq6Q58XLVoEiUSC0lKKCImPj8ekSZPQokULSKVShIWFYcGCBS5Dq61RVFSEW7duOR33pkCDPFZjxozBV199hVatWmHOnDlm0qRWq/Htt9/i66+/xpQpU8zX//bbbzZuV1eQSqUICgpqSJcQFxeHZs2aYfz48eZjAQEBmDx5MjZt2gSNRvOH7f6pVCoUFRVBoVBALpdDJpNB4Ez0AbB4J3yD65+7UhO4YsGZyUBKElCQTsSgJNd17sapbXSuVTcylFIu1j2BvrZd6qCWQP/xwKVfiYjUVOOGS47vORKI30YGHMuSx8JV361DGBMPEUmxJkcCIZFLrsCvTEEGMVfQlTUABgYIaE4k1zo6imUpnNJoJI9Cs3CqBdVpAHD3MolFaNRUYJgLYesUS+TIHlzhaGUVhVB16E/EJvUKCXMkHqaf3TxpbcSMp2cVZBAh8A4gryZAuWnV5ab6SCygB72bUW8iW6Djnn4UGuYMeal0P1eg2M2L8r/kCvJi3TpHBnZJLgmKNFStjgv7jI8jD59OQyFpAiERFoMOyEsnUtQsnMY5urdJxl9HYWYBoeRhOX+Q3su8CWAap+TzQKqM5lUipZDJkmzy1ko8LERbWUEkWq2kjYBeI4HkC0TMwdJ8G4z0XDdvoNvDRESSjlJblSXAtVNEUHRayqkzmnLsGNZ27ZjEfODhZyFVHj5ElDVKWrMsS2G0Cg+LSmPPYXScWyshrakAdV1/N+i19H46tYl4Si0evxGzLZ7zwBYWcY/f9tAakJg2wVKv0Zg42yyxLj6trqZ1k3mjYXlhfyJ07NgRu3btcjj+1ltvobKyEp9//jmioqLg5eWFRx55BJs2bcLbb78NDw8PAJQYX1VVhUmTJpnvnThxIlatWoW1a9ea61hpNBqsW7cOffr04cP7ePzjkJOTg969e6OsrAxz585F27ZtkZ2djbi4OCiVSkgkEuTn56Nfv35QKpWYN28e/Pz8sGHDBowZMwZxcXEYN26cTZsffvghBAIBFi5ciPLycvz3v//F1KlTzRsYn332GX744Qfs2rULa9asgbu7Ozp37uyse1CpVHj44YeRkZGBefPmoXnz5ti4cSOOHTvmcO2xY8cwcuRI9OjRA++++y4EAgHWrVuHIUOGID4+3qz+yWHy5MmIjIzEihUrcPHiRXz33XcIDAzERx99ZL5m6dKlWLJkCfr164dly5ZBIpHg7NmzOHbsmLmMw8aNGzFjxgwMHz4cH330EZRKJdasWYOYmBgkJSUhIiKi3vNSWlqKESNGYPz48Zg8eTLi4uLwxhtvoFOnThg5ciTatWuHZcuW4Z133sHcuXMRG0vRSf369WvQWEyaNAmtW7fG8uXLwbIsHn30Ubz++uvYtm0bXnvtNZtruRIWPj4+AIDt27dDqVTihRdegJ+fH86dO4cvv/wSWVlZ2L59e43vuXr1aixduvS+iXc0iFh9/vnnuHv3LubNm4eFCxfahEVotVr07t0bn3/+OQBLvLl1rPj9QFJSErp37w6BwNYJ17t3b6xduxa3b992Kpt7P3DixAmMGjXK5phMJoNcIoJCKIDc3R2K9Wchl8shV5ZCUVYFufAOFF6+kGf/D+9/1t1p0nRpaSkSEhIgl8vNpM3639zfAoHAVmK9dTcg7QrtVguEjh3OTCZjd/83FBaUd4/CprhQn7qqFLqSdbfOhWnR3lIzylWOlLV4hpsX3QcBGXCpV50/25q4uvvQjr8ZDJEqD1/KI2JBY+HhS96csgJAoiAjtLKEiIhGZQpXYwF3XwopZFmLnHbyOSKGI2YB/s3puuJc6rNWAxz5gQx+a5VHTtY7+Tz1KfMWUJZHBKuqjK5Nv05hZxzR4QzfuI+JGLh5kdJgr5FkaJ/aTuGkFSVEflgjAJPym0gM+DYnb5ErJUjrcRNJaCxUlUROfIOJTHUeANy5aDHwG1K8llsbXO5PcbbFI6LX0rirc8kjVlpg6ZOHH/Wnupw8IofWEZnhxBI6xFjGqdMA29Dba/HAkQ1UU0ynMYXaycmz1LyVRSgGAG6ccfT4yd2JCCWfJ+8XC9M1DIWBcqGqQjHg5k5kUOZG60atJA8pw9C6qSgiL227PhTCKfegddosnLzaHFm27v+ncyhMUSQmUrR3DdWequ1b7BRLXur0a1SjSlUJBIXSGvZrTuPkrP7brXPkoeRCJ+0VQc1gLDmEgMkrV0Ik9C8Of39/jB071uH4Z599BgA25z744AP069cPAwcOxNy5c5GVlYWPP/4Yw4YNw4gRI8zX9enTB5MmTcKiRYtQUFCAVq1aYcOGDUhLS8P3339/n9+IB48/HxYtWoS8vDycPXvWpmTBsmXLzOptH374IfLz8xEfH4+YmBgAwLPPPovOnTvj3//+Nx5//HEbe0+tVuPSpUvmsD4fHx+88soruHbtGjp27IixY8fi0qVL2LVrFyZOnAh/f3+X/eNsxm3btpk3SZ599ll06dLF5jqWZfH8889j8ODBOHDggFkV+7nnnkOHDh3w1ltvOXiZunXrZvPdFxcX4/vvvzcTqzt37mDZsmUYN24c4uLibN6RG5uqqirMmzcPc+bMwdq1a83nZ8yYgejoaCxfvtzmeF2Rk5ODH374AdOmTQMAzJ49G+Hh4fj+++8xcuRINGvWDCNHjsQ777yDvn374umnn27UWHTp0gVbtmyxOfbQQw/hp59+siFW58+fx71798weRgD46KOPbPJT586di1atWmHx4sXIyMhAixYt6v3+TYUGEStfX1+cPn0au3btwqFDh8xuu2HDhmH48OEYO3aseTHIZDJ8++23TddjF8jNzcWAAQMcjltL2roiVk0ta+vMFalWq6FWA6UAUFoBZDqT2K0ELqfj7Y8+dtruzZs3MWbMmFqfL5GIoRAykAsZKCQiyIUM5AYNNvYSIrq7XQ5UZjJKNnyAL7fvgVxdAYVICDn0UMjKIfcUQ5FzDXL3vZB3qyTiVpoLRWUB5C3aQN66M8Risbkdp3WvAMfaVwFhtYtn+ASR5LhPM8qbYQ3kRbh+2lZym4N1Ttutc8Alq50lxiQuUJBOIXMChsiLwUDkqrKU2nf3Jm/dwCnkHTn+IxGd0nwyTgOaE3kqyAQOfE+5TgoPMvS9AymXpSibSFXGTSJB1rWorsYDWSkWZTyGIWO0qpTuy7lDxDe0ta1n89R2MnZDWlPoWcpFIkph0RRKePsCkaCSHDLyjWoiER5+1L/AGn7BWI8bJ2ff/REqvsuA5qEkl/osFAI9hjYs54dbGyIJENKGQi4NBiIv6ddMIXugv2+cAWYuM9VM4vo0lLx5ynL69/UEast6nDivKUfiWNAYDJhIc2XQkZdI707EmRPh4ARDAlpYiLdQZAkl9PSj/voFAdl3iSiVFRBx8g4gzx5YKvJclG3ybMpIMENdTWSlIJM8VaX5RKLdfWi92ZNebmzPH6SQRJHYVDBZDfy+hwiWdY04V3P61CKSoS/OpfWVcZ3W262zFk+djYCHnWiN/dhao9dw4ND/6JvgwNU++wMlbR80unfvjqNHj+KNN97AggUL4OHhgdmzZ2PFihUO1/7www94++23sXHjRpSWlqJz587Yu3ev0/+zePD4O8NoNGL37t147LHHHOrAAZaSPfv370fv3r3NpAoA3N3dMXfuXCxatAg3btxAx44dzedmzZplkyvFeVPu3btnc11dsH//fgQHB2PixInmYwqFAnPnzrUpHXTp0iWkpKTgrbfeQnFxsU0bDz/8MDZu3Aij0WhDjp5//nmb62JjY7Fr1y5UVFTA09MTu3fvhtFoxDvvvOPgKODG5siRIygrK8OTTz6JoqIi83mhUIg+ffrg+PHj9XpfDu7u7jZkSSKRoHfv3rh3716t9zbFWADAlClTMH/+fNy9exdRUVEAgJ9++glSqRSPP/64+TprUlVdXQ2VSoV+/fqBZVkkJSXVSKyWLFliQ9KaGvUmViqVCm+++SYGDx6M8ePH24TePUg0VNIWaHpZ28bGbbqSAK1L7CgAaLU6aAGUAQAshFHvHwbETqAfzh8kb0VeKvJTb2PJlTLTVVyolxq4aFJ93Pyby2eJRCIcOnQIQ9T3KFQtKMIsFV3p3RzTpk2DAnrIc1MgZ69A4e4BefkvkB9Ncu51qyqCvByQZ9xBuNgdnjodqbuxINJRVUqeCMDWO2btLTt3wNbAY41k4HKFWwUiAKwlNyooArjxO0lMq6opr2fcPOD1DRS6t/4tyrsqySNS5uZJ3on8NDKQOe8SI6DwP72Wnl+YZQpjNFL/4nfQzr5ZCAOkrNYsggxnVZWlhhbnxQiLtuQAZaeYPFbdLe8Llozfq6cs3jSjgYgYy5JaY00hl9yYcXL2Fw+TsIdMQd6qikJ6TwFD/UrY6dzjURM4o90/hEiSuy/1z92LjH2Fj0mi3CT9XWkSgxg5x1ZiPyCMyN69yySWEt3LoiRpXeyX83hWlwFgaFxDWpOIREk+Eaaug2yFYoKjaI0EhtPP1eVEvgx6yo3y9KMx4pQjtaToBqk7EOwFdHsEiOgInPiRvIW3ztGGgF5D89ahPxHvlIukCsl5gxjb/zjNCIokAlpWQONi1FvUBesSbseFXm5dDhSk0VrTqclzm3uXQjKthSmsPZfBURYJeWfKfr1GUp2q33+xPc59O/VdH38BuBJSiomJccgfcAaZTIaVK1fWO3eYB4/6oFALBJ60PVYwEAj4E2kzFBYWoqKiolayk56ejj59+jgcb9eunfm8dRv2hjQXMsbl5NQH6enpaNWqlZnIcIiOtv29lpKSAoA8Ra5QXl5u7ktt/fT09MTdu3chEAjQvn17l21yzx0yZIjT8/bFyOuK0NBQh3f28fHBlStXar23IWMRGRnpcM2kSZPw73//Gz/99BMWL14MlmWxfft2jBw50ua9MjIy8M477+CXX35xmOPy8vJa+3s/UW9iJZfL8c0339Q46Q8CDZW0BZpe1rauBMgVXPW10e1GtCXj1tqzFDMOSpXzhMy6QK/XQ1qWD5zfQaFtdy/RznziYVT6t8HPP//seNPx2j9SANi+YjEmdomkcK7Uq2ToKithPBWHlk+9AplQAIVMCrlfIOSqcigYI4Vb6pWQV+kgFwAKIchzJzdCLnGDQiZG33790apLDzI2b5wmY1dZAVSVoqwgH1KpBDJVJZiglgAYwD+MJM9vniWjWVVJhMnLj+67eNg2Z8zdhwiDfwgJHzACIhfVZeSB4AgeWGr30efIu3D7ApHHomzg9G5LcWHOo5FykUhEUEtbD5BvMHl+RCZFOZGJiArFQFkR5c4NmOw6PNO0DlCYTV4SnZoIhIeBQkGNpppdXoHkbalvHiBntKdcpPF09yLvYUQH6q+XL1BZRITUaCQiZC01bq+umZ9GJJKT1c9Pt+QCWsuB56dRvlBER6oBdvkEzUuRSSimdQ8LsYwZR2qFVeWmfDJ3GltVJd2vVZtqWfnTdZwMv9yNvI4aJRAQQl4wLlzVzZPmgStIzZGdu5fp/dy8yZPlzAML0D0tOxMxu3iU8sa0dfgdcP4AhRCyLClCatXkgWME5BVlWSJ39mG+0b2d1/lyhoceoz5prTaRjAYaT3vSxoMHDx73GUKhkzQH4L4WhuVE2lauXOlShMbd3d3m56boJ/fcjRs3OtUlEIkaVrysMX1ryFg4s3WbN2+O2NhYbNu2DYsXL8bvv/+OjIwMmxw0g8GAoUOHoqSkBG+88Qbatm0LNzc3ZGdnY+bMmTbieQ8CDRr9Hj164Nq1a03dl0aBUxS0R22StkDTy9rOeqQfJn8wA8qiPKgU3lA2bwvVxWNQpd2EUqOFqloJpcwTqqoqqLRaKA2AyggoZV5QdRzoUkFRJBIhIiICKpUKKpUKSqUSer3e6bXOoBj3EmCssg3LYwRQRfUEcKnB7yvPukGJ6yIJ7fqHtAF0Wqiy7za4TQBQdO4PjBxFhuAPS0x5MlKo05ORXsYZdFVAdnENrQBk3apNf4BvB7ZAK65ulqra5BEwAKwR4cc1qNBrwOA0ZGs6kxcNesgZIxRiEeS+AZBL5FAYNZCXXYfcqINCxEAepcaYrjkYPHgwebt2fWEpINssAr8lJoEtZSEvVkPBgEifWAi5Tg95YAQE4+ZRMeGcu0Su8tOpDY4wcGIkAHkbrT1AUgVQXUH5M3mplOejURERyLhBxZdTr9qGkNlLle/6gkhTSS6RoKzbRAQZAdCiLdWzUpYDVYr6C1hw5OhaPHntUhKpf7fOAl0GAYOeAI5upGdqlGTg67QWAmcvjMLV37Jex9y1QZE07gUmQsgwRI58g22FYopzgfXvkAcwuCU9k6sfplMD5aZiyp5+REyqSknMgWVofDwDiFSLJLbeJ+v3zLgBgAEiO9qG3zIwEdRUQFlGHjlrgpOZTAWFs1KIvHUfSnmPyiogsnPNOW7nDwBrFpDnU6MkQiWR05yFRQPhHel5Ejnlel2LpxDVhB3Up4CwuuXQdYql3LtLv9J4M6a8q4pi56SNBw8ePECiYp6enrXakOHh4U7Vp2/dumU+f78QHh6Oa9eugWVZGw+OfX+4UDVPT0888sgjTfLsqKgoGI1G3LhxwyVB4Z4bGBjYZM+tK+w9WhyaciymTJmCf/3rX0hOTsZPP/0EhUKBxx57zHz+6tWruH37NjZs2IDp06ebjx85cqRRz20qNIhYffbZZxg1ahQ6duyImTNnNpgdNyW6du2K+Ph4hxjOs2fPQqFQoE2bNn9YX0RFmfDSlMGrSx9SqLt9wuStMADuCqC5nyl3JY8MNqOBvAxtOgML/mtRErPDiBEjkJqaanNMr9ebSZb13zb/zroLZcoVeGdeBSQiqzpVZPR7DxyD8dv2QFVWDKXeABUrgFIghYoRQ1ldBZWBhUpvhMaFPS1Xl5sU9kwH0q8BgS2gbArPXWYycPQHCknT64GibKjYxsU1yLXV5MnhSAVrNJMFpUktmwWg0mih0mhRYn1zgQtJ6YxLCA36CIPdNUSGXvjM4lnJS8UTL72KjGz7vDoDcHwfsGIfpBIx5CKhmcTJpRIozpyB/NAkTH3+ZTz77LOW26w8QJtTq1Hq4QFFXhHkolLIGSEU7kLI9WIoKsshFwmgEEkgT78H+d3rUARH0fdqL1qh15E37PQuyisDC4hk5F0rL6JctNA2ZHzfTiTvFkAGdn1UI4vzyHPl6UdEJrIzhY4d+cESrnk3ichKTfXW7PvPeX4AIuJ6HbVVpSOPkX8IEd6ty2nuue8uwOSZbtsb0OkoNNMvhNrsNZzC/6zD9xIPmeTnM4icuHk6z/PqGGsJWbX2AOWlEvkw6Kj0gLQAkN6z9QKe2kbeIL2OQglTr5LIhW8wiaXUNN63Ey21z7JuE+nWa+k9Rz8PxO8kj1t+OhULjo+jOcm9Q7LrJTUob9rP57h51FZ2Cq1zsZQ8emHRNGZ/cYVAHjx4ND0EAgHGjh2LTZs24cKFCw55VhyZGTVqFD777DP89ttv6Nu3LwDKpVm7di0iIiLua9TUqFGjcPjwYcTFxZnFK5RKpYMgRI8ePRAVFYVVq1bhqaeecvDIFBYWOhUiqwljx47FG2+8gWXLljkVr2AYBsOHD4enpyeWL1+OwYMHW3LdG/HcuoKrNVVWVmZzvCnHYsKECXj55ZexdetWbN++HY8++qhNjSvOs2btSWNZ1iyaVxuKiopQVFSEFi1auEy9aQwaxIhmzpwJgUCA5557DvPmzUNISIiDS49hGFy+fLlJOmmP3NxclJeXIyoqyrygJk6ciLi4OOzcudOccFhUVITt27fjscce+2MLLQZFUiL3xSNEOLQqk1qYElB4AaPnEnk6tZ2uK82jMC5Z/YujiUQieHh4kNxvZjJQnWHKO+pBF2QmA1c2A0VngR+PUDiR3JMUygLCgLxUdPQSYcen71M/ygtJ2lokseyqyz0BvRaG2AlQPzILSt9QC3m7dwORx9aQB0Jvyu+pLAPU1Qj4bTveW/gKlGIFVKk3oUq5BKXUE6rSIih9Q6CSuFsIYGU5HddoodIbodIZID/1I3BTRgp/BgM45qY0NM61r9ApLeRSKDETQr0R0DeiafnNBGC73qIEyBrNnitVeUmN92q0Omi0OlNeHIBqk4ct9ypi7Gs6WHmA/rttIa7k29etUNv9XA0gG/iO8utEIhEUCgWemTQOnz7/giWsriib1OSKs/DRhWykVKggFwkgd1dDIRFDfjORRFGSPoacARRSMeQRbaF4bC7k4dHmPDlvb2/4+vo6f1HfICI6YimgE9HPJ7cTeWANlP8mkdnVq3ICay9Y4mHy3CWfI8+TQU9EsKqUyI9ngCVfyDeYiCJYEp4oySUS4h9CYX1CMXmsQtuQdwcAvJsRCeEUJ8HQHJfmUchbQJhjLpK9l806J04kIfIjdzd5vcQWEpmZTO+jrrYIeqgqKUTT0991ThYHLh+vKJs8n3odjXVAKPW7uoxCOvVa+p1TXQEEhlFBYL2OPFzWsO43GDvFT4bUFb38STnR3YcUMU/vpneyDufkwYMHDxOWL1+Ow4cPmxU127Vrh9zcXGzfvh0JCQnw9vbGf/7zH2zduhUjR47EvHnz4Ovriw0bNiA1NRU7duxwEHZoSjz77LNYvXo1pk+fjsTERAQHB2Pjxo0ORrhAIMB3332HkSNHokOHDpg1axZCQkKQnZ2N48ePw9PTE3v27KnXs1u1aoU333wT7733HmJjYzF+/HhIpVKcP38ezZs3x4oVK+Dp6Yk1a9Zg2rRp6N69O5544gkEBAQgIyMD+/btQ//+/bF69eqmHBIzoqKi4O3tja+//hoeHh5wc3NDnz59EBkZ2WRjERgYiMGDB+OTTz5BZWWlTfkmAGjbti2ioqKwcOFCZGdnw9PTEzt27KhzPt2fUm7d19cXfn5+Dol8TYHVq1ejrKzMXPV+z549yMrKAgC8/PLL8PLywqJFi8wfGKfVP3HiRDz00EOYNWsWbty4AX9/f3z11VcwGAxNKkxRZ3AGursPGTMVJWS0RLQHBkyi0J6jG8nAgoAMucbUsXKlypeXSrvKEjlgMIkjMAJ67v61wLn9ZID6h5KxGBhGBl1AqCmUCRQCJlNAmH4DbvvXwG3iq0ALUx8rUoHKAhI6qC4nYiUmj1JQdT7emj7SIoxg7l8fxzCh8weBvV+TFynxENjCLODKDov4g1X4mR+jxd6eIqiEciglblD1nwhVsygoc9OhykghcubuD5VQCmVRPlS3LkBZUUbhlkIZ/KtyAYmAjMvSXArHAoVjNgZyAWtSMSywhIPdvQT4BkOp0dV6vysoSrIcD5oMd6X8fQD1S9TU6/WoqKiAXu5BcwOQl80qd2nf4U2IzwdIzKTMdWOnCoEf4m0OTZgwAXFxcU4vf3X3aRw/Vg45DFAo5JBnfAdF/l3IqyspPFLEQB6og+LEDciTP7MRNmnevLm5XoZ5DEx1uPThnSBMuwKmNI82DViWjHu5G6ksNougkLfCLFJ+5Go7RXUlzwsYIiCcgqC6Gjj4HRGUgFDKs3voUSJgXG5XcFTNxMGalHD3eAdSzS3ApA7oTc+39miJJPQ9FmTQMbmbIwFzhV4j6R33rSUREFUVqTyqlRSCKBSRgIpYAkR2olDDimJSTxRLaKy4UED70gfc7wjzt2sSGkm7QeMt96C/JVb13JqqLh8PHjz+NggJCcHZs2fx9ttvY/PmzaioqEBISAhGjhxpJi/NmjXDmTNn8MYbb+DLL7+EWq1G586dsWfPHowePfq+9k+hUODXX3/Fyy+/jC+//BIKhQJTp07FyJEjbUopAFRY97fffsN7772H1atXo6qqCkFBQejTpw+ee+65Bj1/2bJliIyMxJdffok333wTCoUCnTt3NsugA8BTTz2F5s2b48MPP8TKlSuh0WgQEhKC2NhYzJo1q1HvXxPEYjE2bNiARYsW4fnnn4der8e6desQGRnZpGMxZcoUHD16FB4eHg7li8RiMfbs2YN58+ZhxYoVkMlkGDduHF566SUHSfwHAYa9n5l9DUBERITTqssAzERq5syZDsQKIFWV1157Dbt374ZKpUKvXr2watUqp5KeNaGiogJeXl4oLy9vmLqKNUm4d5kksSuKaGeXUyI7fxDYvpLyQG6dJWPEOxB44VPXNYfq88zHXrAQmjXzKTTHqCfDWa8nI81oAFp1J9GJrkNoB16vJYNOowbAAi06UNiTmyfw0BjbtgHK6fjiRaA4i4ghQN44iYzEAR6ZYQkXy0y2iBA4q6PDEa+iLApV8mlGuT2+wZQzY1151TcYGDiZ+sEVQl7/NhXrBUOhXTPeI0N179dkEN9JouN5aaR6dzXeFC5WBug0MLJAvg5Q+oZDNfkNqKJ6QnnxOFSndkEp94LqzhWotDoojQKo1GrytEEEpVYHlUiOOW190bd9a0vOzomtpKRXkouQ/aWoZAVQqtQwGOv3yX0yIRYL4k45PRcaGors7Ox6tcfhtddes6mqbkZmMno9PBwXUpx/h7Xh6aefxsaNG52eGzNmTL138Dg83L8vjiacsT1oWjfPbTqMby+mk4dNJKD8NakUcpkECp8AyD28oChKh1xdTmIm3r7kZQtrhRYdu2HuyIGW9afTUA5WWQEy84tQLPeB3MsX8r6joWjfC3KpBPLKQggYgetQSG49FmaSF0xslYv12Av0DTj7Frj7sm5b6moZDORde3KRZa07qxfHgftdwOXg+YWQAEd0L+DHFUSkpHL6PjoNsGwCVJeTRz12Ar0X9+3I3Kh8QdchRDi5/sd9TF7CggwSrFErgZBW9G1yJQgakGfV6N+/f1Pw4/IPwjDn6QC1oU6qgIf/VCYfDx5/GdT1d/CDT46yQ1paWq3XrF+/HuvXr3c47uPjg++++w7fffdd03esPuDyP7h6MG162JKlzGTaVfb0o9wQdx/Kb9Eoaw/1qe2ZzmrPyD0oNKq6lEKtlHkmdTGGVMKkcqqvI5LQsT6PAknH6PqsW+Tt8mnmoq4NQ+eqy4igCIXUTmQnOnfiR9vkfFdGln0dqv1racdbIiMVOZUv7bSDpTHSachY5Mb1ajyQdpXOiSQ0vtfiiYuJJdRWREciYju/AJKOkmdOIDQXTRYwDIJlAsBYClz5Beg/BBj1OKC8QwZ3eAyFZWXcIBV7ralekdwDGPkMEUku5Ayg98ZdwKcZso/NMxvFuuw7UHkGQalSQbVrNVQlBVCWlUCVeRtKpQoqAwOVgYUSQqhYAWKEhURgnRDu/v37Iz8/3zbHrqoSKmU1lGottDWIm7iMLQ6LhoppeB5bTQqcqvzMhrdbmu2ooGdaN6qd58AiHUq9EUq9EcVqPVBpUrvMKnLSWjWQlAngKHr06IG5c+da1fPKADYtAyqKsDrDgP+mFgAoAH66ZdOCVGgicB6ekHt62xbqripCaMldrO3hSd9aiG1tsiulGiRezYH8TikUimRL2YGKAsgLKyDXCqCQukGurIDcqIFI5kZexZrqxXHgfhcUZQPRfSwFuU9tp5DCgDD63tOv079ZkLeuVTciYofKae3GjKN2cu9SeGFpPm0asEZqK/ceEN6eamuJJEBUG/K+cd5PZxsoPHjw4MGDx98YDSZWFRUV+Oqrr3D8+HEUFBTgm2++Qe/evVFSUoL169djzJgxaNWqVVP29a+DsGgySjhluIRdFnU36/AavRZo15vC73RaCi2qLdSnpmday1JbhxbptUTcLh2jXJGyAkpUL8unECP/UCIdER2AxCPk3eLyvUJaUd5VWFvK8fCxk/YMiqRwJqOBCAoL2mkvyaV38g2m6+oSEsSdj99Bu+0GPdD3cfIyFWQA2/5LniyxhAgXBy4vpbqc3odTeks8TH0QSSiMiwvbOn+IPFthbam9qC4kJFKQTvPlF2IJy+w53FHu+1o81ey6dZbmtTQfaNPL4sXjEDPOIpHOkaKwaIjDoiEG4AkAgQHU9rkDwLFsAApT/o0HkVSxHDCU2SoEWuGnn35yHEcr49vg6Q/V6H9B5RfmIHISEhLicipmxnRBlqISKrEbVAU5ULIC8tZpdUT6WAFUjAQqqTuUOgNUKpW5tIFLwpaZDGV2mstn1gYF9C7XkbIwr+HtChlbLxDL0qaHQQ8VWwRLbTdbaAxGaAxGlKqLgUJHZcooBQNUaOkHrdqyBgHs++ZTLP5qfZ37KBakQv55N8hlMvgL9bi2coGtGqIJZ86cwdatW6HQs5Ab3KHwD4b8jgry7HgobqdBnl4FRVoJ5GIx5PEnoLhyBXKZjAqJXzsHTxZgWnUjUsapHHIhoozAko+XexfITaVC2EIx/T6xLnbMEyoePHjw4PEPRIOIVVZWFgYOHIjMzEy0bt0at27dQlVVFQDKv/rmm2+Qnp5eZ4WOvydMORvRvW0NIK7OjilEDDJ3MkhuJ1JSfd69hhslzhLmC7MsAhluXgAEpBRWVWqpT5SVTAZTcQ4VUdWqSYXPyBIxkEiBSyconyIg1NEDxamDpd8EYCQ7tCiHSBUnDlBXwsjJgPcYTh4/gckD1HM4PXvrCvIahVjlgnDkscsgKubaMZb+nN1rCY0MCLOMTa/hwIWDZDx6+tG7BLUE9nwFJP1KeScmxURq/56pLpCRDMewaPIgpSQC6TeoL/bvl5kMHFxH43L3siMpsi/OyxqpT1y+S0AIeTMriqjt+uTfWUmpC+9dhntVIdzbdq/b+Jv6tjCCATQSAHrgkYEUHvb7HiDxKK0njYpkxP+zydwno9FoJleu+rW0XwRyikqgqiiD0t0PqvAuUHoFQSVWEOErzIXqzhUoq6uhgpBKEJQUQKXWIDTAz/k6ykuFSlf3sgP2kOuVtl6g6F70DWjVULINT5CWiwREOoRCCr3lFAjjPoby6pmab7aDzgjolCpUKFUwuMlceI+By5cv1zFpWQP87igupF0yAeKibAeVwxMnTuDtt9+GXFcNeWkuFD5+kJeVQSEA5MHhkOfkQ1H6HeS+P8OtWSjmvP5Wvd6PBw8ePHjw+DugQcTqtddeQ2VlJS5duoTAwEAEBgbanB87diz27t3bJB38y8JVaF5QpKWejrsPeUrOHwQuHCJPxYWDdF1D8qysYR0yJJIAg58kLxAjIO/Pof8RWYAAYHUkPlGYSflRAaHkvWnZha41aIGqEvLMGPTklbI28oNaUkgcA0salFFPnq6IDrbJ+XUdt+sJRHysa+IEtQQeme5YxJQb0+unATCmMEfWovzn4WtbiJUb2wuHiFgFtaSfNSoigSIJeZs4ArVmAc2Nm5flfQ+uo5pTBj3g28zxPa7Gk1dMIqex3LsGePQFS5tbl1NdopDWwMz3bIsAs0aaG99g4FoCkV+R2CLgUVuOTU1hoTWBa7cwi4hqn0cpLy12Aq2doiwaV60K8PAmdUur5wsEgpqlS4Mi8UjfXhZvLQAY8oEAMTBjviX30D5X0FU+klW7a58ejpKMO5T/1q4/lHevQVWQTaUDOg4kcROlEqorZ6BKOm5Wn1QqfNA5Kpg8kJynpqyAvLAGPVhGBSEDNESIUqGQAwoFiWlw5NtEelVuLlQT6wC5u4dlXOzGozFFxEUiEcTPfOB0rHNycpCQkGB1tZWH8KZJiSn+NgBAIRFhzpOTeK8VDx48ePD4x6FBxOrw4cNYsGAB2rdvj+JixxCYli1bIjOz4bkUfwtw4YBcKBhnZHAenq3LgZx7ZDAn/UqeihbtqCZMysXGEyvrArCcx8Y+VC31GhnJjJCIg7epxkBKIu3Yp1wAwFCYn86Ur1JRRMpi1kVi81KJSInElusACqmSKizEpS7gQhrj44hUcTVxTm0nkpd7l4gPy1rIBUDFcaUKkn8uyKDaV9WVZNSKRBY5bs7TFtSSku3z0oh0Rfem8eoQYyn2CljqAoW0tswNGCKhCk/qR0k+9Td2op0xyZD8tLICuHKSnhczjub+diKNV1kBvVubntQnTpzg3lUgOYmU6zRKymFL2EWkJ2GnpfiwsxwbV2GhNcGeiFvnpfmHUChifgaRS6EIGP0cMOrZ2tt11a/kc8CB78mrm29FPJ2Rwppy80zthsx5ByHc++alAqo7pL537zLw2GjL2t//HSC8QmteXUUbDsW5QHIKeWzb9qbv9VoCkJ+O74e0xPdiKXSjn4NywJNQndkH1YF1ULr7Q3XhCJRid6j8WkA1YAqUCh+oslOh/G0fVBXlCJQKgJ7dgbDWFtEaAPAORIjxLnqG+UMl96Fcu7JiCrXUG6Ez1CxPqTCoac06IcxKpdLxhjpCLpe7HOv6EDaFSMCrAfLgwYMHj38kGkSsVCpVjYW+KitdFFH9JyEz2SKxnJ9uGwrWayQVWD30P9olTzEZ79kpZLi2rkfYlis4M1CtPR0BYeRNksjJoJR7kBGv01IfWCNQWgCAJcELo4HIhkROXh5rkY2gSCCkDXlwrImVQUekor5GVlg0kZS7l4kQ6fUkgiEUUf8KMyjkr0VbksFmQGSqOJfCKQVC6r+HL1BSQn3nFA2tQzKtiScD514eri6Q9dxw41eSQ30z6Gw9a2HRpKrWtjfVZ5K5UR5b7l0iZspKIlUGPRHbxMPA7Qu2YgQ9hpGHyNOPzgW1pPvvXCTCU1vuWm1kxB724/HQo5b6THmpFDrKshTC6h1A49IQcP0qyATAEkFUlluI58RX608Krdvl4Mpj1ymWBB2KskgBjyPJkZ3p7x7DLJsaVpsf4svH4NV1MLw69gBunaC56NiOCJs1aTp/EKg6D/ibhCBSrwDlBSRswvVx4qtYEJuGBVy/Tm0HLp8wqwYaAltAdWgjlJUVVNNN5gFlj9FQ5WdBqfCB+PZZ+t1hvVFg+ra7hQZg7ty55J3LSYUy9RZUGg2FWRoBFSMhImcElEYGGitXnFwspP478YTWh7DJJXWQhefBgwcPHjz+hmgQsWrfvj1OnTrlUpd+9+7d6NatW6M69peHtaF6PcHRo9Eplgyjomwy6kbMpuuthQ7qA/vwMHuvBWCbRxIzjp5bVkBCEHodGXbXE4iYVJgU+ACL7DNjivWz91iFRQMjZlHom7rKqlMs5Zg0xMjiyEV2CqDX0DgZdESsWCPAKomcatSkahgcRcQuoiOFV1YWExEQiok0OgvJtDa+ubwse4PeOkTPem5mvmcRsUi9ZpHS5ohOWDTJWZ/aTkbwzd9pnDsPIhJanAOAIU+bSGIhNNz9ASFE5MqLLIpsIgmRMZkbkYD65K7VBmfjYW1cu/vQ/PuHAD4mxTkXRnidwBGctKtEcNr3s9Q96jm8cd4OZx4765pSPYZRzmHqFeDW70DGLSK6nn70foDt5kdQBAk1XIsHRs6xCNOolcC10xbSZD2OKReJdOs1VMvMWnyE+2NfJ+r6aSC4JYS9R8L9ziW4p1ygtS5mgMrbgI8boMwEmsktYYv5afTcDW8DWSkYrfDA6DlWsuxr5tPzpYHk9XT3pm/GPxSoKIKxXT+oS/KhLCuBtrIM2L7KqSd08ODBWLNmjYMAis3fxQVQVZTDPyiY91bx4PFnRQOl3OsEXsqdB4+GEav58+djxowZ6Ny5MyZNmgSAEtfv3LmDpUuX4rfffsOOHTuatKN/OdSUK2RPfFgjAIZqyjRlcWDrXfzzB22JXspFMhCtlb7uXSaCEtGRjFCDHja1o4wGChFUV9sqHQLUfzcfQJRnyZ8RCCm8saHoFAsk7CBSYjSY8ruMJGhhBJEnn0DKCSvNI8NYICSpd1UFUF1Bin/DZ1lk0K1DMp0Z387KuvUa6Zzs+oeSIa5WOveOhEWTiqJICkj1lMN14wyFqJXmUQ6aREahitz9rJHC1S4eJi+RqorCFDsPoL7FfUzeTYmM2mkqA9Z+PealWo5z4au7vjBJ6otoo0Asa3CtIoRFW8hp4mH6RuqTD1aX9rk+WROY3FQiqgoPIuoSOa2niI60dqw9sZ1iqW9c7l7iYZNgCkNrXOeCNE18ld7ryA+0MeAb7Fx8hNt86RBD32TXwZbNl8IsIPMmrWGjkTYNfIOpFp5vM9vxuhpPBE9dRc/ZusLSH+uwY7GMCLI7C2RcBwx6CBK2QyEUQ+HuA+hVlgLXdn3t6CVGxx4RDSfSPHjw4FEHlJWV4fXXX8euXbugVCrRu3dvfPzxx+jevfZIHoZxTRofeeQRHDlyxObY3bt38fbbb+Po0aOorKxEaGgoJk+ejA8++KDG5+zfvx/nzp3DkiVL6vROTYGbN29iwYIFSEhIgEQiwejRo/HJJ5/UGD3GYcGCBTh58iTS0tKgVqsRHh6OKVOmYOHChXB3d7e5VqPR4J133sHGjRtRWlqKzp074/3338fQoUNrfc7p06fx8ssvIyUlBT169MDXX3+Ntm3b2lwzb948JCcn49ChQy7befXVV3HgwAHcuHGj1mf+GdEgYvX0008jPT0db731Ft58800AwIgRI8CyLAQCAZYvX46xY8c2ZT//erDPFbL3aHDXALXXpakN9mFc3DOsvVgc0Us8REZZUTZwepclV8a69szVU+QF0mnIqLMnV6pqqmFjI2ARCYS2oTA9pZFyZ8ACN05TwdOZ7zXM+I4ZT6FwaiX1SQJLzpdAQM+I6GwRzmBAZCYgxJFMOWvf3vh2NQ/WYwlYir8GhJG3zrp+FefJAcgYrywmgsSp+5UVkIdEIqd5kMrJoPYPIcKaepVCG6Uyc6Fa6NRA92F0TeseRMwCW9RvPOsy3oDzceCI5a4vTNL0mUCf0RavSUOMbW78nXkKGwN77y33fUgVliLYXF6gQAiAofGN6ORIjLmQTM5DxNVG0+tIgMYZaeLei8tN4/Lh7EmjtZcwOMpCqjKTyUPpH0JroyQP0LH03bl703VcmCZAXj+tmr5VoYhUM7n+2IcdF2XTN5Kbaqqjl0EbFiUqapurVWXd17rUzuLBg8cDh7sQWN3W8dhfBUajEaNHj8bly5fx2muvwd/fH1999RUGDRqExMREtG7dusb7nRWmv3DhAj7//HMMGzbM5vilS5cwaNAghISE4NVXX4Wfnx8yMjLqpA+wf/9+/N///d8fRqyysrIwYMAAeHl5Yfny5aiqqsKqVatw9epVnDt3DhJJzXUnz58/j9jYWMyaNQsymQxJSUn48MMPcfToUZw6dQoCgWVDcebMmYiLi8P8+fPRunVrrF+/HqNGjcLx48cRExPj8hnl5eV4/PHH8dBDD2Hu3LlYv349JkyYgCtXrkAopEV4/fp1fPvtt0hMTKyxv/v27cNjjz1WjxH6c6HBdazefPNNTJs2DTt27MCdO3dgNBoRFRWF8ePHo2XLeogV/J3B5Qrlp7vOdXJFiuoDV/lU9sZQdC/K5agoJqMQLBGEgFBbGfF93wAGA4WpKSvJQ2ImVwwRBb3W0Qid+R7QsjNwZjeQfYfIRHEeUPkrHZ/aAAnmgDCgeRSFxFWXU16Vhx9w5QQZkek3iXSxLO3GV5WSJ8mVsIMr1DQP9mMZ0MKi+FeSQwVYR85xvC66N41Vs0gg8waNYXBLizgCZ5iLpKZCrawlHDT3LlBaQQRM6kYeDAZkgJcVNK7mWUPHgfPUBIRSDbTrZwDfINuw0IagvvlgNcHZuue+j1vniIwbdEQ+WJY2AHyDSQHRQXwEtiG7IomlNprUjYhJdTng7SIks9fImovluvKact41rZryGwVCACyRHrBEuHoOp2+V8yJK5QBrIFEOnyBLfzKT6e+AUIuXK7oXhT/mZ9A5owEAQyGmg59wDANtit9RPHjwuO+QC4EXwx50LxqOuLg4nDlzBtu3b8fEiRMBAJMnT0abNm3w7rvvYsuWLTXe//TTTzscO3HiBBiGwZNPPmk+ZjQaMW3aNLRt2xbHjx+vsaj9nwHLly9HdXU1EhMT0aIFbaj27t0bQ4cOxfr166nAfQ2wVXQlREVFYeHChTh37hweeughAMC5c+fw448/YuXKlVi4cCEAYPr06ejYsSNef/11nDnjukzIb7/9BpVKhbi4OMhkMowYMQKRkZG4c+cOoqPp/4v58+fj2WefRfv27V22c+/ePSQnJ+Prr7+ueVDqgOrqari5uTW6nfqiwcQKAFq0aIEFCxY0VV/+nqhLrhMXMiiSNMxIdWagWYf+3btMO+0JOyn8TKuBuehpRTFw/EdLTsauL4gIAkBlickLJCCjDSAjTyKzFBC278fUt8iw27QU0KnIE2DUk0E6oAESzEGRlAvGqQGOm0cerKRfiVAZDZQPVl0OeFUSmRNLKFyxPgZgTRLl9oalTGHKn6mk3f6r8RbeaX1daR6NaXkh5SfJ3Gi+rb0/9t4Mb1P+Umg0ef+qyy1kxlUeWGPhzLPpVKqdpb5VmPLXDDoy6nd9Qacbq2TZGFhLxduTgGYRRHIDW1BYX9o1AAzNiU5DJMs70Db8kYP1t1WQaamNlniIFDJ1WiA72XX9uTooGjqQmNy79A2VF5EXijXSOpFaCcdw3+rdS0QMPf3J4yQSU5hj3j3g5HYKKRVJSMjFukg2AGz5gLyu3O+c6nJLn+q8Jnjw4MGjaRAXF4dmzZph/Pjx5mMBAQGYPHkyNm3aBI1GA6lUWuf2NBoNduzYgYEDByI0NNR8/PDhw7h27Rr2798PuVwOpVIJqVRq9qzUhJkzZ2LDhg0AbEMPWVMaQXV1Nd555x1s27YNBQUFiIiIwLPPPotXX321xlDFmrBjxw48+uijZlIFUGhjmzZtsG3btlqJlTNEREQAoNBLDnFxcRAKhTbtyWQyzJ49G4sXL0ZmZibCwpwzd5VKBZlMBplMBoBq2gIW4aPdu3cjKSkJ27Ztq7Ff+/btg5eXF2JiYnD8+HEMGTIEO3fuxLhx42yu27JlC6ZOnYozZ86gb9++Zk/b5cuX8fLLLyM+Ph4PP/wwdu/eXZ9haRI0ilgBQFVVFUpLS82LyhrWi+AfDVe5TpysN5cMr9c5yV1qwDMAR2OoJJdCikQimEkVQEZV+nWLIaXXWmpaCQREXIRCwMiQwSaSAi2i6TpXxCUghEQjDAaTJ8mXjLuG7HQ7I42F2RTWpdNQ/8sL6NriHPo74yZ5FAoyGvccDvZjGd4BkPxCBEOnBU7vJIM7vD0ZueZ8KVBelUBAngROWRFw7c2IGUf1tSqLaT0wAsAvmPLE7ENIa0Jtta6sr7P38LhU5WPIK2gw1SgrygLknkDOHds8oz8a9lLxOjVw8QjlUt06Dxz8nubJO5CI+bGtwPHNpjBX0EZBwk7yXjkLdbMWm0g+R/Nr0NP6jujYdCUSAJjJa/oN8sjK3QGvAPLECkX0DRZk0h+91lKE2z8EcPO3CNBsXU795UJQAUuR7Mxk4Pe9tPkgkQOaajqv11o2A+q8Jnjw4MGjaZCUlITu3bvbhKYB5J1Zu3Ytbt++jU6dOtW5vf3796OsrAxTp061OX706FEAgFQqRc+ePZGYmAiJRIJx48bhq6++MpMCZ3juueeQk5ODI0eOOIQesiyLMWPG4Pjx45g9eza6du2KQ4cO4bXXXkN2djY+/fTTOvedQ3Z2NgoKCtCzZ0+Hc71798b+/fvr1I5er0dZWRm0Wi2uXbuGt956Cx4eHujdu7f5mqSkJLRp0waenp4OzwEofNIVserWrRvKy8vx8ccfY+LEifjss8/g5eWF6OhoaDQavPrqq1i6dCl8fHxq7Of+/fsxdOhQiEQiDBo0CGFhYdi8ebMDsdq8eTOioqLQt29fm3ccPnw4YmJisGrVqprrat5HNIhYqdVqLF26FN9//73TOlYcDAZDgzv2t4Wz3d+r8bRbbK301VjjxV6M4OA6oDgbKLeaL0ZA4X5u3nRdUCSF2d1Jot18iZzk0oUCQGAiVhXFFFJVUwjY7QtkrIkkRH50KsDTt+E73TbE9ADllEhlQLne6iIBzIRR7kGGdPr1hj/H/ri1YckRFq8AMqh1GoBRUm5Uj+EUasXNq0RGHju9jvplHz7JGbrnDwJgLTlWuffIMyb3oHFkBI79coX65MQ4C/NypcoXFElekfw08pAUZZFxLvckxbm6rNu6Er76wF6BU68lQluSR3+qSi35YIyAvDciGQCT100gBLKSAc8ACrerScLe7L3KoDFuyhIJAACGQllb96A1IBJRHTOxjDY48jOAX/6Pvj9PP7pF7ga06k4E695lWi8VJYDMndZmaR7QLNwSIvzJHBJR4b5fgdDk7ZKQp6w+a4IHDx48mgi5ubkYMGCAw/HgYCovkpOTUy9itXnzZkilUnNYIYeUlBQAFGY4YsQILFq0CJcvX8aKFSuQmZmJhIQEl96lvn37ok2bNjhy5IhD6OEvv/yCY8eO4f333zfrD7z44ouYNGkSPv/8c7z00kuIioqqc/8BGhPAMgbWCA4ORklJSZ08eRcuXLAhIdHR0fjll19sSGRubq7L5wA0/q4QERGBDz/8EG+88QYWLlwIuVyO77//HgqFAsuXL4dCocDzzz9fYx+VSiVOnDiBNWvWACCP4NNPP41PPvkE5eXl8PLyAgAUFhbi8OHD5jHmoNFoMGnSJKxYsaLG59xvNIhY/etf/8KGDRswduxYxMbG1spAedghujfly3SMpZ8TDxPp4QqUNrUy2vmDZGwGRZKR6decCJKnPxXUDW5pUYJr2clW4lwoJsNNr6UdfndvMlrFUufG/vkDwN5vgLJCWOTaDRTO11jD7PwBYM0CIqHKCruTHMljKDxNIKT6YJnJTWMQWpOuvHtkhFZXWCToWZby0bJuW3LJ8u6RR6Esn4zvHk5UdaxJkE5DBKx1d6Agnd5RICTlw4LMur9LfXJi6hPmZa0OWJJHhFwipfXg5l37ur1fIgjW7yCSAGCA8BbApWNUq62qhDYLIjrSOs9Mpo0Cg4HmRSSiQtH56URma/J0Wq+DgFBHGf6meJfgljRGkZ3Ig3n+ICkMlpcCYGk9lRdQQWXfIPr9kXaNvtGew4mUHVxHeYAyd8pRHDfP8rsgP43WLSMi0u/pRzl7/qGW30l86B8PHjz+YKhUKqcEgQsvq0+h8oqKCuzbtw+jRo2Ct7e3zbmqKioL06tXL2zatAkAMGHCBCgUCixatAi//vorHnnkkXr3f//+/RAKhZg3b57N8VdffRVxcXE4cOAAXnrppXq1yb1zbeNSG7Fq3749jhw5gurqapw5cwZHjx41j4P1sxoz/gsXLsS0adOQmpqK6Oho+Pj4ICcnBytWrMDu3buh1+sxf/58/PzzzwgKCsKnn36K/v37m+8/duwYNBoNRo60/H86ffp0rFixAnFxcZg9ezYA4KeffoJer3eaU/fCCy/U2Mc/Ag0iVjt37sScOXPwzTffNHV//t6wNyw7xlrC7/o8SsZfj2GOOQ6NNT45wzMvlQzPqjIK6Roxm4gcJ7fOhVKFtjYRLz/aLS/IAqQi6qeyktrkwvDscTuR7hGJiCQAlr8bi9uJRKpCWpNXDNyOEkskj5NbVyvJU2QwNH2iPVf4Wa8FvP0Bow7ITTPloLGU03L+AIXFHVxH4hZaE2GK3wncu2qrkGjvbRFJTLXNugAVhaQEV5hNBZKtC8LWhPqSJVcy69z7Wq9DLoSRk0mvMAmZdOhX+9jdLxEE+3dI2EV5Sm5eRPqi+5DACPe9SaRAl0HAjbO0uaA25eUxJrn1soK6PdeVDH9TvYs5X/IQeQa5jQqdxrKx4B9Kc1BZSuG7GhURK07KHrDNqwqKpHaLc0xrlqHx6DOK7uPmmg/948GDx32AVqtFSUmJzbGAgAAIhULI5XJoNBqHe9RqNQDUS2Rix/+3d+fxMV3vH8A/N3si+0IWsUvsYonYl6qdtnZFLVV8qaKWKmoJammolv5s1aKkFKXWtvbaWvvaEltCEomIkATZ5/n9cczIZCYxmcyaPO/Xyyty587kuTd3Jue555zn/Por0tPTVYYB5n6d3AUtAKB///6YOnUqTp8+rVVidf/+ffj6+sLJyUlpe/Xq1RWP5+f58+dKiY6lpSW8vLwUsRb1vDg7OyuO6d1338XPP/+Md999FxcvXkTdunUVr1PUn1OmTBmUKVNG8f2UKVPQtm1btG3bFl988QUOHz6MX375BUePHkWXLl0QFRWlSHz37duHhg0bKj2/WrVqCA4ORnh4uCKxCg8PR+PGjVGlShWln21lZaU0l85YtEqsJEnSaE0Bloe6hqW8EZwYK+6o12qh+zv7/oHizvfjaOBFKpDyquEYdQ1o1Uc1rsZdxeNP4kXvVfpLwKeKmEtj5yjmEmW8VN9jFdBAzH96/vT1Nktr7WPP+9qlXMQcKgtLMRwwI03EYW0rhv9ZWb0qmpEmet10fbddfq78q4neikZdRBXExFjRa5OTI7ZDEufbwRmQPRXnw8pa9J5cP5Hr90miofzvKdFrIF9bTF4owa6U6HnJZ30htQqaL5bf/oDqNZd3W/PuUNS19ywr5n0lxgInfgXO7FdNGvPSZxGE3D1J8rlrJFMugy9fINjKBrh6GnjxFEhLFgkVSByaq1fhhvXpY2hj3iGpzp6v7yHIWViKBY7dyoibDfGRYtuj+2J+1duDRUVDdZUIJ6wFlo9+XTr+aQJw6jfg3tXXc9F6TRS9X4Wlj/PBGNNIYiZQPU/hthtNAc+Cq3Eb1OnTp9GmTRulbZGRkahQoQJ8fHwUQ99yk2/z9fXV+OeEh4fDxcUFXbt2VXlM/jq5G/AAULp0aQDA06dPVZ6jb4sXL0ZoaKji+/LlyyMqKkoxDC+/8+Lu7l6ogh5yPXr0wAcffIAtW7YoEisfHx/Exsaq/TlA4c4/APzzzz/Yvn07rl+/DgDYvHkzZsyYgSZNmqBJkyZYvXo19u7dq+h52r9/P4YOHaryOoMGDcK4ceMQExODjIwM/PPPP/juu+9U9rO1tVWZn2cMWiVW7777Lg4dOoSRI0fqOp7iTV3DUpOKfjq5s/+qVLbs1UK1MplozB/fJuZVWNu8jsvT7/VQoox0IPOlqFBmbSuGHiUniiGB6nqsgjsBLXoCv//wqiJgjhh2FHm16MPy5L0D+1aL13IrA9w8IwoJWFqLOSg2diLmrHTR6M+vWpu2vCuKhvmZvQAkMa+l40fA/jWiPLazh2iYe1cUxQKSHooKgpaWonS2vNchOkLMwbp4QPxerGzE3CxIr8+rtY2YH2NjL4oZ+FXVPBkpbAlzdUm/vPy7vDdt5zIRa2KsSKyc3EVDPOKsSCCTHuZJGtXEZIiekLzHnvdGRaXawI2/xfm1thPXaGCwuLHRsINIzORrkRW28Ic+jqlVb1GFMOKsuNatbYFGncV8sJM7RFELSytxHLalgLtXgOQl+fdw+geKHrt/TwM5meL3/PSRuAbrt9P+M4fXu2LMqAhAYpbqNlNSt25dlYV6vb29AQBBQUE4ceIEZDKZUgP5zJkzcHBwQEBAgEY/Iy4uDkePHsWQIUPUJh0NGjTA999/r5JEyOcQvWnR3fzmX5UvX16x2HDuXqubN28qHs/PoEGDlNaJkvcO+fn5wcvLC+fPn1d5ztmzZxEUFFRgrPnJyMiATCZDcnKyYltQUBCOHj2KlJQUpQIWZ86cUTyuKSLC2LFjMW7cOMW8socPHyolZ76+vorfwfXr1/HgwQN06dJF5bX69euHCRMmYPPmzUhLS4O1tTX69u1bqOM1JK1SuxkzZuDevXsYMWIELly4gMePHyMpKUnlH8tD3rDsNkq50eEf+LooQnSEnu7sk7iz/Tzp1bo4EMPMDm4Qk+Ffpoqeql4ToehtsbEXvSyShWhskkw8JzFGFCs4ufP1Ojm5VagtepYsrV+XGU9JEo21ovKuBFjaiGO5dV40Mm0cgFLO4rxZWIqeKqXeIx3yDxTDNT38REGErEwxnPLTNUDbAeKfvDrekLnAgBlAz0+B2i1Fdb9qjUTiun0JsPs7sa6YWxmRsJzcAWwLE/PI/vhBJG0VawH+AaLUtnaVWjWj7prLO3cpO0sk4S+SRTz/ngQuHxZDS5PiRMIOvC7Goe7ayHut61t0hLh5EHdPnPfIaxBzsGqJ61qeDPeaCIz6Rvzuti8B9q4SXwuKMXcyKu9N1Af5NSfvIc7OEom2/HfSoIOYR+XgJOa+pT8XC0tHXcs/JjcfkQzbvCqK4VZGzBkrymfOtRNirpenn37PB2PMbLm5ueHtt99W+iefw9OrVy88evQIO3bsUOyfmJiIbdu2oVu3bkpJ0t27d3H37l21P2PLli2QyWRqhwEConPA1tYW69atg0z2+gbx2rVrAQDt2qmZD52LfG2k3KXKAaBz587IyclR6U1ZunQpJElSmjuUV6VKlZTOSe65Rz179sTevXuVFi8+fPgwbt26hd69eyu2ZWVl4ebNm0q9W8+ePUNWlup0DPmx5q422KtXL+Tk5GDNmjWKbRkZGVi3bh1CQkLyrQiozvr16xEdHa1UYKJMmTKKJDMrKwt37txRJNX79+9HmTJl1FY/9PT0RKdOnbBp0yaEh4ejY8eO8PT01DgWQ9Oqx0q++vWlS5fwww8/5Ltfia4KmN+QmNxza+Tf67u8cXSE6IFKfrUulZXNq7LrrxIoK1sxGb5Fz1wT81/1thCJhqe8V8WvikhovCvlPzStdgvR0Lv3XMzfyMkWCZouEkT5nLSqDYBrx0Xj8GUqkJkmSku/SBHHlf5cFOnQWbW2XHIvGpu7EZr+UhRBSIh+nTjnnqskH3r1OFbMAUpLFUnK+T9FCXdIInG5d1Wcs/QXrwtDFKUnQRP59SblN3fpcYxIXO0cRHKSky3KyhMV3GthyF6N3IvtxkWKIaSAmBv29gdArWZiLaqGHV73huqr8EdRPbwjzq2Hn+jFtHUAajQDoq6Kn+9VTsy1AokbDxlpoqc0v5hqtxDvjZhbgJObuAlQ0GLG6uT+jAP0V4SHMVYi9OrVC40bN8bQoUPx33//wdPTEytWrEBOTo7SMDkAaNu2LQAgKipK5XXCw8Ph6+uL1q1bq/053t7emD59OmbOnImOHTvivffew5UrV/D999/j/fffR3BwcIFxNmjQAAAwduxYdOjQAZaWlujXrx+6deuGNm3aYPr06YiKikLdunVx4MAB7Nq1C+PHjy90RUC5adOmYdu2bWjTpg3GjRuH58+fIywsDLVr11YaOhcbG4vq1atj8ODBWL9+PQCxQPLYsWPRq1cvVK1aFZmZmThx4gR27NiBhg0bKhWACAkJQe/evTF16lQkJCSgSpUq2LBhA6Kiogps6+eVmpqKadOmYf78+Uo9d7169cKcOXMgk8lw6tQppKeno3PnzgDE/KpOnTrl2xs4aNAgRXXHuXPnahyLMWiVWM2cOVPrhc5KhIIaj+oe03d542snRO/Cy1TR4LK1E6XCZTlACr0qB56rdLm8t+X4NtHwLF9T9DxdOCAqphEBdy6Knil1jSf/QOD9qWLoWFykmCRfo6luEsTHMWIIV8oTkVRlpInEL+WJSKoy0sQQNbtSYg6QPhatVZeE7F8r7tYXVDL/5tnXBUJeJIteBfn8syr1ROxxd0UvwotkkdxaWouk1BCNd3XDB/Obu5QYK3o7710TFfZcfV73VMgXuI27q3oe9FXAQh35z6rZXMSbmSYSwdjbondw1DeqP1vbwh/6HNoYHSGSa2trcTyW1qJ4xdVj4loPaAjE3BaJrr2jSPBLuQBdRhRQZv+euPng4Cx+r/JeVk2PIe/nWGAj9UV4GGNMQ5aWlti/fz8mT56MZcuWIS0tDcHBwVi/fj0CAzX7PImIiMCFCxcwYcKEAufbfPHFF3Bzc8Py5csxfvx4pWTrTXr06IFPPvkEW7ZswaZNm0BE6NevHywsLLB7927MnDkTv/zyC9atW4cKFSogLCwMEydO1Pg85OXv74+//voLEyZMwOeffw4bGxt06dIFS5YseeP8qtq1a6NNmzbYtWsX4uLiQESoXLkyZs6cicmTJ8PGRnkC3k8//YQZM2Zg48aNePr0KerUqYO9e/eqLYOfn7lz56Js2bIYMmSI0vbQ0FA8fvwYoaGh8Pb2xvbt2+Hl5YXk5GScPn26wIqJ3bp1g5ubG2QyGd555x2NYzEGidSt7FvCpaSkwMXFBcnJySoLpWnk3B9iKJG88dht1OuJ4OoeK1NBv3fx968F1k0HXiaLngVnD8DdF3BwFA2krEwx7+TTtW9IAO+JifFR/4lkqWKe56j83O+B9TNEg9bJAxj7f9onOnkXgW3YXiQmf20Va2alvxQ/h0jMN6kWor7hLH8tXU6wP/e7OM74SJEU1WwGDH51R0VeMOHWBTHsr2Yz8Xsv5SKuBTsHkagMmCEKl1w/IZKVu5fEcfpUEvN/niXotqx3UUVHiGOOvCaKQHhXBDz9RXn5M3te9bS5AKOWKsdszB6rF8niGilTQfRm9pmsvkBDdITpVMTLfb5Snoge4KR4MSfK1l7M23N2F71EL1NezYP0FeXVOw/P/zVXjgfuXha/Lyf3/M9FfvJ+jjXu+vrGQRF/r0X+/C2m+LyUIO21u3H9OBMo/ZfytoRWgJehilcc4OYkK7ytW7diwIABSExMVKxVlVd2djZ8fX3RrVu3QvWe6ZKmn8Fa9VjllZycDEdHR1haWuri5cxfQXe9NS1goUvyYT83z4pqeZZWoqR6/XaiEETqU9HDk5v8br+nn5indP2EKFjwMlX0cOVkvx7ell+8UddFY8/WXgxfOv+n9olB3p4OQDTqU5+IWFxfLe6amS4SkuY98k+qdNmwj44Afl4g5rzI58BUrCO+bpghehJeJgOuZURlwH9PiWSpeXeRfCTGKK8fJG+cunmL5NHT73Up/Ef3X/cs6Ephk0z5/o9jRA9Fqz6iN7RibdG4jzgryssHNHxdsTE3Q/XyyAU2EskrJLEe2MXDIjnxqZR/b1RhC3/oU95y/PIeqax0kWhJFuK95ewuFji2sADqtxVz+gp6zexMkVQlxYn5VYXtCc37OVarhfhnKgkpY4wxs+Dq6oply5blm1QBwG+//YbHjx9j0KBBBoxMO1onVufPn8cXX3yB48ePIzMzEwcOHMBbb72FxMREDBs2DJ9++mm+41uLvYIaj/k9ps/GnH+g6L25fkLc7Xb3Fo2gaydeV/t7cFM5Scpb/e7CATG0zsFJTJi3sn5zGXUXT1FMIjNdfHUpwmTDvA05wuty5kRiGGBWpmh4ymTA/X/VVyHU9VC0+EiRPFrZiITT4tVbas9K4OpfYnhW+nMxnNLOAQhqA7ToJX5m3jkteatBevkrV+bT9dC5wiaZeXsN5ZUkfSqLYhDxUSKBT3ooGv0VauU/VFTfDe+8sTq7i4SkTqvXa1qZQ+Nf/j489osYlksysdRBTjYUFSQz08SC3I6u4gZJ5HVx7Pn9Pr0rit9Z+lWRuOd3E6IgeT/HAC6zzhhjrNDat2+f72NnzpzB1atXMXfuXNSrVw+tWrUyYGTa0SqxOn36NN566y34+flh4MCBiuoigKjekZycjNWrV5fcxAoouPFojDviuYtmyBs/105ArN/zam2ivPs3aC96VOTzhiQL4P1pwPovgNRngF/A654WdVr2ET00jx4AZcoBLXrnv68m8edtyF048LqceXbGqwWMZQBkIqlJf6nauNRVwQF5zw0IKBsgin/k5IgKfpFXgbtXRXJhaSUawQ/viHMlT6rkx6RJbPoqkFDYJFPdemde/mLeXdS11yXucy/Ia6xGdn6xmmNvSlqq6JXKeClugji4iF5QWaZ471rZvFp/qwHw8vnr4ab5/T79A1+va5edBUScEz1c2iRX+RXfMbdzzBhjzOSsXLkSmzZtQlBQkKIgh6nTKrGaNm0aqlevjn/++QepqalKiRUAtGnTBhs2bNBJgEwHcq+ZlHsB0NotRCM473A0+XMAUYI5d/W7+HtirRyZDCjlpPbHKZ4fHwl0H/d6kdaiNrZyN+TiI4GOQ0UDPuo6cOOMaGwmRAPW9qJYhroiEroYipa3ISmPAxD56Zm9YqhlQpRYUNnCUsxf6Tqq4J+nLrboCDGcTYLuExVNkszcQwXVDf+6dlwMecx4NcS0Sj2gVV+g00eqzzdkY1tdrObY2I+PFOXsndxfFZnJFL3FdqVEIi/LAWQkfnddRophoxol4ZJI0gIbFb0n1JAFSfTs33//xezZs3HhwgXEx8fDwcEBNWrUwOTJk9GtWzelfW/cuIFPP/0UJ0+eVEwm//rrr1XWwJHJZFi8eDFWrlyJuLg4BAQEYOrUqXj//fcNeWiMMWZ21q9fbzYJlZxWidW5c+ewYMEC2Nra4vnz5yqP+/n5IT4+vsjBFTvGaGTKk4DIa2I+RUiX1wlHww4iKbh9UTTE5CXgAeVhVI27vk66di4TVdXcfV6vTZX3WPR5B1vda9dqIXqn4u6Kwhx2pVRLoedW1B7DvA1JyUI5kYg4K2Jx9wUcXcTCvm9KqvLGFh0BbJonkmF5EYuCege18aYk803LAADAjm/FMDRIoqDJf3+L+VdeZV+vCWWMngxdzuUyVnIIKC807eAi1kLz8gPuXReJ7IsUMa8KEOc7MBi4flJ8LShWXZaKN2TZeT27f/8+UlNTMXjwYPj6+uLly5f49ddf8c4772D16tUYMWIEACAmJgYtW7aEi4sL5s+fj+fPn2Px4sW4du0azp49q1Rpa/r06Vi4cCGGDx+O4OBg7Nq1C/3794ckSejXr5+xDpUxxpgeaJVYWVtbKy2qlldsbCwcHR21DqpYMtZwGXkSULW+6Em5c+n13JfoCGDnt2Itm+xMoGw10YAv7a9cOtzr1aJwx7eJu+e2r0pW+weob0Tp8w52fKRY7NWtjPgqTxCbdxcJYtX6hV+Pp7AKakjmbtAnPHj9+869btmbyCvuXT0m1uaSv74+egLUJZm5C1QUtAzAuT/EMEfJQvSmAICzpxgCeXSLSASN2ZOhiyG3xnjf5k3khswV8x8BMSdq5zJxjtOfi6GAHuXEWnTHtwGHN4nqhzfPiOQ2v2Ixukw8DV2QRI86d+6sWFdFbsyYMWjQoAG+/vprRWI1f/58vHjxAhcuXEC5cuUAAI0aNUK7du2wfv16xX6xsbFYsmQJPv74Y8WioR999BFatWqFyZMno3fv3lz0iTHGihGtEqvGjRtj+/btGD9+vMpjL168wLp168xigplBGWu4jDwJUDf3JXwucP0UkJMlGsi+VUVPS/QN5YU+Sfa6bPXj6FeT6ElU4Yu/V7S1gAqNxNDF+/+Kct4kEw3R3JXzek0sXOnownpTQ1L+/YlfxTlLjBVDLX0qadYwj48U59nOEcjKEPNrypQ3TE9AfgUq1P0e5cMDE6LE0FAJwItnACQg9pYYHljQ8/V9HNr2MuV+rqHft/klcvKfuX+tWEA6K0MMAwTE+yEzDQCJhMutjHhv3r5YcBVOXc71NKVKijpmaWkJf39/nDt3TrHt119/RdeuXRVJFQC8/fbbCAgIwNatWxWJ1a5du5CVlYXRo0cr9pMkCaNGjUL//v3x999/o3nz5oY7GMYYY3qlVWIVGhqKVq1aoUuXLopx4leuXMG9e/ewePFiPH78GDNmzNBpoGbvTcmGvoYbFZQEJCeKxpmNnZj0/viBKEgBSXmhT0iioedfDYj6V8wZKlddJAzqGm+5fybJCtdb80aSuGtftYFIOCQL4yStb2pIXjshev2cPUQPQtUGrxI/DWLLPfzLzhHwrSzWJTJkD6cmRR/8A4EWPYFn8WIB20f3xdDHzHSgSn1xfRijaERRepnyPrd5d8MOc9PkWs5ME4mVXHamqPaZ8kQMC4xNFe9p19L6jbUYe/HiBdLS0pCcnIzdu3fj999/R9++fQGIXqiEhAQ0bNhQ5XmNGjXC/v37Fd9funQJpUqVQvXq1VX2kz/OiRVjjBUfWiVWISEh2L9/P0aNGqWoKS9fVbpy5crYv38/6tSpo7soi4OCEhx9DzfKLwkI7gj8vUf0Mrh7i3LqVRuI3p/EWDFkUD6vR156nUg03h7dF0lD1fr5/0xA98clLxX9LEF8JRnwONZ4PSPqREeIioVPYsV5srUXPQgFrZ2UW97hX4YsvKCu6AOQf3Ls5SdK3MfcEt8/iRM9oKd/E+t5EQw/PKwwiXbeGxrq5s8Zcpjbm27A1G4hhrreu/y6x0ouJxso5S5K32emA6XLgWln4sSJWL16NQDAwsICPXr0UAzli4uLAwD4+PioPM/HxwdJSUnIyMiAra0t4uLiUKZMGUiSpLIfADx8+DDfGDIyMpCR8TqBTklJKdpBMcYY0zut17F66623EBERgcuXL+P27duQyWSoXLkyGjRooPJHhL2SX4JjrGGCwZ2Asf/3em6SvOdJ3Ryl3KXXb18QvVet+xY81Egfx5W3N0w+BDB3kQ1jD0mSL8Aq7/Vr1FkUEyhMw9xYQ6vUlbXPLzmWD8F8mSqSKXdv4MEN0VuSkwMkPxbJeMRZwxau0LTaobpKmfkt4G0qRTf8A4Ghc4E1k8U8x+zMVw8QAAnwKi+GyPpVNf4NBjM2fvx49OrVCw8fPsTWrVuRk5ODzExxrtPS0gAAtra2Ks+zs7NT7GNra6v4WtB++VmwYAFCQ0OLfCys5HCwBGZVUt3GGDMcrRMruaCgIAQFBekglBLMmFW1gjspJ0f5DUms3UI0kBNjRU+EJg1lfR4XkeipyrugrrqYDF3VLfe8tgq1gJav1u/S6ZBIPcqdSORdtDh3cixPnGs2E4UTHtwQvSbpL0XFuvQXxilcoWm1w/wqZRq7EMObEjnvSuJaT3kihplaWIj3g5s30O1/5rtelwmpVq0aqlWrBgAYNGgQ2rdvj27duuHMmTOwt7cHAKXeJLn09HQAUOxjb2+v0X7qTJ06FRMmTFB8n5KSAn9/fy2PiJUEpSyB2ZWNHQVjJVuREyumI/paq6gwChqSqE3lL31UCytMcYU3HZO+5O1V+2ubctl0c1pANb/kODpCVA20tgGib4qFZnNeVQYkmRhCZ2EpFoh2chfri0VHGDa5yu9nFVQp803PNQXXTogk1toOQLJYj8reSSxUTdBsXqMxS8iboV69emHkyJG4deuWYhiffEhgbnFxcXB3d1f0Uvn4+ODo0aMgIqWRHPLn+vr65vszbW1t1fZ2McYYM12cWBlb3oa/rtcqKow3Dd3TpsGp60aqJsUVjFnVTU7+M+Rl01+mAC6lgYwXr2Mwh8atuuT43O+i5PfzZ0BOJlDKDbCxBV5aiEY9IBaxtXcCsjOAtBTjDAnMT0GVMk2BRtcFiSGXjq5A/XZi6F/kVeDY5jdXoTTW0g9mTD5kLzk5GYGBgfDy8sL58+dV9jt79qzSCI6goCCsXbsWN27cQI0aNRTbz5w5o3icMcZY8WFh7ABKnOgIMbwqOkJ8n7vhL68aZyzmsNCnuuIKuddWkjca964SX0GGOaZzvwPh88RXOXnZdCsbUY78aZzo5ZGXiM8dp/x6MEX+ga/PcXSESKpunRc9VVH/AncuiqFoVtaAhZXoQSnlInqEsrPFIramcH3LyZPFbqNEkZBOH5lOYqHJdVG7hUgIndyBms2BNq8WmU1JEsMBXySLkuv5nW9T+swxMQkJCSrbsrKy8NNPP8He3l6RHPXs2RN79+5FdHS0Yr/Dhw/j1q1b6N27t2Lbu+++C2tra6xYsUKxjYiwatUq+Pn5oWnTpno8GsYYY4bGPVaGpO5OsSklM+aw0OebYjRGVbdzvwMrPxUN2lIuYltwp9dl0+PuinkwLqVFqXhjlYjXBXlhjlIuwKMHgLU14OAiek6qNxHri6U8AZ4/fV0Z0MHJNK7v3Ex1uJ8m14W8aqR8qOkf68TaVi+eiTXmSrkUXIXSlD5zTMzIkSORkpKCli1bws/PD/Hx8QgPD8fNmzexZMkSxcL306ZNw7Zt29CmTRuMGzcOz58/R1hYGGrXro2hQ4cqXq9s2bIYP348wsLCkJWVheDgYPz22284ceIEwsPDeXFgxhgrZjixMiR1jSZjTZbPb7iRqTY4cysoRmNUdbt1QSRVflVFpTb52l7yBvDxbaL8unyOlbwha46NW3m5+/QXQNrzV0P/CChbFajfXlzHmemAzF4kXC16il5FU07WTUlBSU/e96x/oFgw+N+TomBIVjrg4iU+T0qXy/98m8MNFCPp27cvfvjhB6xcuRJPnjyBk5MTGjRogEWLFuGdd95R7Ofv74+//voLEyZMwOeffw4bGxt06dIFS5YsUZkXtXDhQri5uWH16tVYv349qlatik2bNqF///6GPjzGGGN6JhERGTsIU5OSkgIXFxckJyfD2dlZdy8sn5uSnWXcIgbFfY5FdIRhG415e6xGLVUtQ68uJkPHqSvyuEkm5vMAInmKvwcs+1gs3GxhCdRqBoz61ryOTRu6niuX37Wi7j27fy2wbrqYuydZAr6VgGELxQ0bM6W3z18zx+elBGmv3ZI1SVlAi3PK204EA+7WOohJEwe4OcmKL00/gzXqsbKwsNBqbaqcnJw371RSyNf8yc4UPRfNuxuvwWmuw9A0ZeheN3kSlXc9sDfFpGmcplTkoqBY4iPFDYMKNcVcsha9TDteXb2+rm9SqLsu8nvP1m4hrrnbFwErK16/irESLIeA/16obmOMGY5GidXMmTNVEqudO3fi33//RYcOHRAYKBoBN2/exIEDB1CrVi289957Og/WrCnW/Gn+eu6PsfAcC93TdD2wwjKl3sXoCFHl8HG0mDs2ZG6eWF4VsMhIEw18gmFLrKuLV9/nTl83KfJeP/m9Z/0DgVHfANdPAEnxongFY4wxxoxCo8Rq9uzZSt+vWbMGCQkJuH79uiKpkrtx4wbeeuutAtfnKJFMKZnhORb6pcsGvSn1Ll47AUScAWzsgaSHojGfe6iavEc2O9M0Sqwb4tzp432d3/WT33tW/v/tS0S1RlMpa88YY4yVMFoVrwgLC8OYMWNUkioAqF69OsaMGYOvvvoKw4cPL3KAxYapJTPmUKRCU6Y0VA7QbYPelBJyAIAkSqvjVQ+2/Nw/jnndI/vXL0D6faB289flvI3xezHEudPH+zq/60eTRY9NIQFnjDHGSiitEquYmBhYW+c/G9La2hoxMTFaB1VsFadkxlS8cXiaEeiyQW9KCXntFkC1RiKJ8iorSsfLe1asbABrG+DCn6KgRVYGcGonENDQeMmgoc6drt/X2lw/JpeAM8YYYyWPVolVrVq1sGLFCvTv3x9+fn5Kj8XExGDFihWoXbu2TgJkJsLUeoXkChqeZijqymDnbdAX5fyZSkLuHwgMnvv6uPL2kjTuKn4f0RGApRXwMhVIeqS/eDQ5p6Zy7gpDm4TQlBJwxhhjrITSKrFaunQpOnTogICAAHTv3h1VqlQBANy+fRu//fYbiAibNm3SaaDMiEypgIJaeYanGVJ+5yZ3g97kz58amq5zJu8lsbIRxSpqNQfO/wkkPxYl118800+ya47ntDAKSgjNeQ06xhhjrBjTKrFq3rw5zpw5gxkzZmDnzp1IS0sDANjb26NDhw4IDQ3lHqvixJTnb+QdnlarhWF/vibnxpTPnzqaJi3+gWLZgPN/AtE3RbEKKxugTEXgZQpg7wTY2usnRnM7p7pS3BNKxsyFlmtNMcaKN60SK0AMB9y5cydkMhkeP34MAPDy8oKFhRHLiDP9MOX5G3mHpxm6kanJuTHl86eOpkmLfMHrpHjg+VOgZlPgyjEg4yUgywEyXwKlX83F0jVjn1NjDY2V/248/cTaVcYY+soYY4wxtbROrOQsLCxgZ2cHR0dHTqqKK1Ofv2HMIVCanpvARmKkYq0Wpnf+8tIkaYmOEEnV3cuAoxuQnQXcuQRkZoikighIfwkkPgR2LAMex4reRV0duzGvSUP3GuVO4rwril7BM3sBSMCFA+ZxTTHGGGMlgNaZ0Pnz59GxY0c4ODjAw8MDf/31FwAgMTER7777Lo4dO6arGJkp8A8EGnbgBpw6BZ0beSP82GbgxK9A/D3Dx1dY8qSl26j8k4b4SLFelbuP6K3yrQS8NQDwqSiSrJxsgGRAyhPg6lHglwWiemN0hG7jNMY1mbtHT15OXl/k18/eVeIrADRoD3j4ASFdgKxM/f58xhhjjGlMq8Tq9OnTaN68OW7fvo2BAwdCJpMpHvP09ERycjJWr16tsyCZDkVHAOf+0G0Dl+UvPhKIuwukPhW9OzuXaX/uDfm7e1PS4l0R8KkMOLkBlYOA96cBA74Q5e69/F/vl5MlGv+pScC/J8XQNXNnyGGI6pK42i2ACrXEvLasDJHAMsYYY8zotBoKOG3aNFSvXh3//PMPUlNTsXbtWqXH27Rpgw0bNugkQKZDPPHd8ORDt5LiRO9OdlbhCy1ER4gy5hcPiCTFFH53+Q3FC+4ENOoM7FsljpUIAAHpaUB2NvA03ngx64ohhyGqS+LkRUN2LhPn+OROwLsSv5cZY4wxI9MqsTp37hwWLFgAW1tbPH/+XOVxPz8/xMcXgwZUcVNSK6kZk38g0H3s60awT6XC9XDIk+HIayI5C+kiFuA1hd9dfnPbKtQGnDxFEYsXyYAkAZaWokKgm7fh49QHQ83ryzeJkwBrWzF3j9/LjDHGmEnQKrGytrZWGv6XV2xsLBwdHbUOiumJsSuplVTBnUSPgjY9HPJkuGp9UbDgziUxDMyUf3e1WwAV64ihfxaWIgGwtBTHbehy+G9iqgtf56YuiSvovWwOx8QY0zk7C2B0WdVtjDHD0Sqxaty4MbZv347x48erPPbixQusW7cOrVq1KmpsTNdMvbpfcaZtD4e8AZ0YCwSGAA3bm34VOP9AoGYz4ObfgJUVkJMJeAeKeVimFLc5D43N771szsfEGCsSJyvg/6obOwrGSjatEqvQ0FC0atUKXbp0wfvvvw8AuHLlCu7du4fFixfj8ePHmDFjhk4DNTumetfYmKXJWeGZazIsEZCTAxAAyRKo/5bouTMlhRkaa4rvZ3XvZR7uyxhjjBmNVp3EISEh2L9/P+7cuYNBgwYBACZOnIgRI0YgJycH+/fvR506dbQKKCMjA1OmTIGvry/s7e0REhKCgwcPavTcQ4cOoU2bNvD09ISrqysaNWqEjRs3ahVHkeQtkWyKFfi4OqD5MMdS924+gIMzUMoFsHUAnL2MHZEqTYfGmsP7WY6H+zLGGGNGo/UCwW+99RYiIiJw+fJl3L59GzKZDJUrV0aDBg0gSZLWAQ0ZMkQxzLBq1apYv349OnfujKNHj6J58+b5Pm/37t1477330KRJE8yePRuSJGHr1q0YNGgQEhMT8emnn2odU6GZ+l1jHi7E9E0+zyrirPj+31PiujOl60zT3kBTfz/nZq49nIwxxlgxIBERGTsIubNnzyIkJARhYWGYNGkSACA9PR21atVC6dKlcfr06Xyf2759e/z777+4d+8ebG1tAQDZ2dmoVq0aSpUqhStXrmgcR0pKClxcXJCcnAxnZ+fCH4ipJy7n/hB33+UNxW6jRI8IY7q0aR6wazlgZS0WE35vrFjrytyY+vu5mCny528xxefFxLTX/gZysXXAZJqTjOmcpp/BWg0FtLCwgI+PD44fP6728fDwcFhaWhb6dbdv3w5LS0uMGDFCsc3Ozg7Dhg3D33//jejo6Hyfm5KSAjc3N0VSBQBWVlbw9PSEvb19oWMpEvld426jTLMRxsOFTFNxG57p7g1YWgFpqUDac+DCAeMcW1HPq6m/nxljjDFmErQeCpieno63334bYWFhGDdunE6CuXTpEgICAlQywUaNGgEALl++DH9/f7XPbd26NRYtWoQZM2Zg8ODBkCQJP//8M86fP4+tW7fqJL5CMeUiETxcyPQUx16R2i0AD28g+hbg7AG8TAWunzDscenqvGryfjbFAheMsRLjWRbwXp7BOb/VBVytjRMPYyWR1onVN998g7Nnz+LTTz/F+fPn8f3338POzq5IwcTFxcHHx0dlu3zbw4cP833ujBkzEBkZiS+//BLz5s0DADg4OODXX3/Fu+++W+DPzcjIQEZGhuL7lJQUbcI3L6ac+JVE5jSPpzCcSwNWUUDKE4BkotfKkOXiDXVejZUYczLHGHsli4C/nqpuY4wZjtZLx1lbW+P//u//sH79euzYsQPNmjXDgwcPihRMWlqa0lA+OXnClpaWlu9zbW1tERAQgF69emHz5s3YtGkTGjZsiIEDB+Kff/4p8OcuWLAALi4uin/59YoxpjfmNjxTk+F18ZFAThbg5QdIEuAXAGRliuTGUAx1XnMncM8SDHOM5lStkDHGGCsBtO6xkhs0aBDq1KmDnj17okGDBtiyZYvWr2Vvb6/UcySXnp6ueDw/Y8aMwT///IOLFy/CwkLki3369EHNmjUxbtw4nDlzJt/nTp06FRMmTFB8n5KSovvkiu8ss4KY0/BMjXtnCIi7ByQ9FGta3f8XqNvasEmjoc6rMRLj4trLyRhjjJmpIidWABAUFIQLFy6gf//+6NixI1q0aKHV6/j4+CA2NlZle1xcHADA19dX7fMyMzPxww8/4LPPPlMkVYDoVevUqRO+++47ZGZmwsbGRu3zbW1t1faU6UxxnD/DdM9chmdq3KCXAGsbwN5RLBLs7AE0aG/4YzTEeTVGYmxuvZyMMcZYMaf1UMC8XF1dsW/fPkybNg1//fWXVq8RFBSEW7duqcxxkvc2BQUFqX3ekydPkJ2djZycHJXHsrKyIJPJ1D5mMMYYJsSYvmjcoCcx9C/9pagKaGcPePoZMlLDMvRCzlytkDHGGDMpWiVWkZGReO+991S2S5KE0NBQXLlyBUeOHCn06/bq1Qs5OTlYs2aNYltGRgbWrVuHkJAQxfC8Bw8e4ObNm4p9SpcuDVdXV+zcuROZmZmK7c+fP8eePXtQrVo1w5dcz43vLLOCmFuZdY0b9BLgUwmoUBuwtBQJ1smd5nOc5sDQyRxjjDHG8qXVUMDy5csX+HitWrW0CiYkJAS9e/fG1KlTkZCQgCpVqmDDhg2IiorCDz/8oNhv0KBB+OuvvyBf29jS0hKTJk3CF198gcaNG2PQoEHIycnBDz/8gJiYGGzatEmreHTGnObPMP3KO9fOXIeJajK8zrsi4OQORF4FcrIBSGLOFc8FYowxxlgxpFFiNWfOHEiShOnTp8PCwgJz5sx543MkScKMGTMKHdBPP/2EGTNmYOPGjXj69Cnq1KmDvXv3omXLlgU+b/r06ahYsSK+/fZbhIaGIiMjA3Xq1MH27dvRs2fPQsehc+Yyf4bpj7okqjgUIMivMIt/oJhTFXsbyM4AUp8CZcpzjy1jjDHGiiWJ5N0+BbCwsIAkSUhLS4ONjY1SgYh8X1iSjDuvqQhSUlLg4uKC5ORklcWKGdPauT9EaWx5EtVtlEgyzLHHSu5NPW7yx+W9Vl1GAp2HGy9eZvKM+fl77tw5bNiwAUePHkVUVBQ8PDzQuHFjzJs3DwEBAUr73rhxA59++ilOnjwJGxsbdOnSBV9//TW8vLyU9pPJZFi8eDFWrlyJuLg4BAQEYOrUqXj//fcLFRv/XTIx7SVjR6DicSZQOs8U94RWgJf6ul26d4AXzWLFl6afwRr1WMlksgK/Z8VMQaXhuWy89tTNtTP3YaJv6nHzDwSadweibwKZGcDFg0DtluZ3nKxEWLRoEU6dOoXevXujTp06iI+Px3fffYf69evjn3/+UQxzj4mJQcuWLeHi4oL58+fj+fPnWLx4Ma5du4azZ88qVaCdPn06Fi5ciOHDhyM4OBi7du1C//79IUkS+vXrZ6xDZYwxpgc6KbfOipGCeiDMdT6QqcgviTLnYaKaFGZ5HAskPACsbYGbZ4HrJ8z3ePWFb1iYhAkTJuDnn39WSoz69u2L2rVrY+HChYr5uvPnz8eLFy9w4cIFlCtXDgDQqFEjtGvXDuvXr8eIESMAALGxsViyZAk+/vhjfPfddwCAjz76CK1atcLkyZPRu3dvWFpaGvgoGWOM6YvOyq2zYqKg0vBcNr7oilsVN40rBBIgSeIrUya/YbF3lfjKVRONpmnTpirrHVatWhU1a9bEjRs3FNt+/fVXdO3aVZFUAcDbb7+NgIAAbN26VbFt165dyMrKwujRoxXbJEnCqFGjEBMTg7///luPR8MYY8zQNOqxqlixIiSpcOOJJUnC3bt3tQqKGVFBPRBcNp6p86Yet9otgMAQIDEG8CwL1NJuAfFiqzgUMCnGiAiPHj1CzZo1AYheqISEBDRs2FBl30aNGmH//v2K7y9duoRSpUqhevXqKvvJH2/evLkeo2eMMWZIGiVWrVq1KnRixcxUQXN+zH0+EDMO/0BgyFy+bvLDNyxMWnh4OGJjYxXVcOPi4gAAPj4+Kvv6+PggKSkJGRkZsLW1RVxcHMqUKaPy91P+3IcPH+b7czMyMpCRkaH4PiUlpcjHwhhjTL80SqzWr1+v5zCYSSmoB8Kc5wOZmpI0r4avm/zxDQuTdfPmTXz88cdo0qQJBg8eDABIS0sDANja2qrsb2dnp9jH1tZW8bWg/fKzYMEChIaGFvkYWMlhIwG9SqtuY4wZDhevYMwYuBAIy40TT5MTHx+PLl26wMXFBdu3b1cUmbC3twcApd4kufT0dKV97O3tNdpPnalTp2LChAmK71NSUuDv76/l0bCSwMUa2FbXiAHoswQ9l3JnZqJIiVVWVhZu3ryJ5ORktSXY37SoL2MlVkmYV1OSeuRYsZKcnIxOnTrh2bNnOHHiBHx9fRWPyYfxyYcE5hYXFwd3d3dFL5WPjw+OHj0KIlIaDih/bu7XzcvW1lZtbxdjjDHTpVViJZPJMHXqVKxYsQIvX77Mdz9zXSCYMb0r7vNquEeOman09HR069YNt27dwqFDh1CjRg2lx/38/ODl5YXz58+rPPfs2bMICgpSfB8UFIS1a9fixo0bSq9z5swZxeOMMcaKD63Krc+fPx9hYWEYOHAgfvrpJxARFi5ciFWrVqFOnTqoW7cu/vzzT13HyljxoXGZcjPFpfmZGcrJyUHfvn3x999/Y9u2bWjSpIna/Xr27Im9e/ciOjpase3w4cO4desWevfurdj27rvvwtraGitWrFBsIyKsWrUKfn5+aNq0qf4OhjHGmMFp1WO1fv169OnTBytXrsSTJ08AAA0aNMBbb72FwYMHo0mTJjhy5AjefvttnQbLWLFSnOfVFPceOVYsTZw4Ebt370a3bt2QlJSkWBBYbuDAgQCAadOmYdu2bWjTpg3GjRuH58+fIywsDLVr18bQoUMV+5ctWxbjx49HWFgYsrKyEBwcjN9++w0nTpxAeHg4Lw7MGGPFjFaJVUxMDD777DMArysjySfj2tjYYODAgfj6668xf/58HYXJGDNpeedTcaU7ZoYuX74MANizZw/27Nmj8rg8sfL398dff/2FCRMm4PPPP4eNjQ26dOmCJUuWqMyLWrhwIdzc3LB69WqsX78eVatWxaZNm9C/f3+9Hw9jjDHD0iqx8vDwwPPnzwEAjo6OcHZ2xr1795T2efr0adGjM1c8aZ8VZ+d+B25dAAIaAMGd8p9PVZx75FixdOzYMY33rVmzpkZD3i0sLDB16lRMnTq1CJEx9mbJWcBH/ylvW1tDVAtkjBmGVolVvXr1cO7cOcX3bdq0wTfffIN69epBJpNh2bJlqFvXmDU/jYgn7ZdsxT2pPvc7sPJT4EUyUMrl1Uap+Fc4NEXF/VpjjBVKJgHbE5S3rahunFgYK6m0Kl4xYsQIpVXhv/zySzx79gwtW7ZEq1atkJKSgiVLlug0ULPBk/ZLLnlSvXeV+BodYeyIdO/WBZFU+VUVX29f5PlUxlASrjXGGGPMzGjVY/XOO+/gnXfeUXxfo0YN3L17F8eOHYOlpSWaNm0Kd3d3nQVpVriRWXKVhLWpAhqInqrY2+Jr1fo8n8oYSsK1xhhjjJmZIi0QnJuLiwveffddXb2c+fIPBJp3F3fy5Y1OVjKUhKQ6uJP4Kr++5d/zfCrDKgnXGmOMMWZmipRYZWVlITY2Fk+fPgURqTxev379ory8eYqOAP5cBzyOEY0e70rc4Cwp9NlzY0rzaYI7vU6omHFwLyFjjDFmcrRKrJ49e4ZJkyYhPDwcmZmZKo8TESRJQk5OTpEDNDvXTgA3zwLWtsCTh8D1E9zoKUk07bkpTKLEBVGYOtxLyBhjjJkUrRKrIUOGYM+ePejXrx9CQkLg4uLy5ieVKARIkvjKWF6FTZTMYT6NKfWoMcYYY4wZgVaJ1YEDBzB27FgsXbpU1/GYv9otgMAQIDEG8CwL1Gph7IiYqSlsomTq82miI4ANM8TwV6+ywOC5nFwxxhhjrMTReoHgKlWq6DqW4sE/EBgyl+c+sPwVNlEy9fk0PPyVMcYYY0y7xGrEiBHYsmULRo0aBQsLrZbCKt547gMriDaJkslfUzz8lTHGGGMlm1aJ1YwZM5CRkYGGDRvigw8+QNmyZWFpaamyX48ePYocIGPFksknSoXAw1+Nj+e4McYYY0anVWIVGxuLI0eO4PLly7h8+bLafUpsVUDGShoe/mpcXDWSMcYYMwlaJVYffvghLl68iKlTp3JVQFPHd7LNg7n/nopTD5y5MYeqkYwxxlgJoFVidfLkSUyZMgWhoaG6jofpEt/JNg/8e2JFYepVIxljjLESQqvEytvbG+7u7rqOheka38k2D/x7YkVhSlUjzb3nlTEzZi0BrdxUtzHGDEerxGrixIlYuXIlhg0bBkdHR13HxHSF72SbB/49saIyhaGY3PPKmFG5WgPHGho7CsZKNq0Sq/T0dFhbW6NKlSro06cP/P39VaoCSpKETz/9VCdBMi2Z0p1slj/+PbHigHteGWOMlXASERV64RlN1q4y56qAKSkpcHFxQXJyMpydnY0dDmOMmT4d9Vjx5696fF5MTHseY2dQB3iNRGZcmn4Ga9VjFRkZqXVgJcK534FbF4CABkBwJ2NHU7zxnA7GTAP3vDLGGCvhCp1YpaWl4dtvv0WbNm3QrVs3fcRk3s79Dqz8FHiRDJR6VYaekyv94DkdjJkWU5jrxRhjjBnJm8f05WFvb4/Vq1fj0aNH+ojH/N26IJIqv6ri6+2Lxo6o+Mo9p+NZgrhTzhhjjDHGmBFoNRSwQYMGuH79uq5jKR4CGoieqtjb4mvV+saOqPjianrM3PFQVsaYjqRmA5/fVt62sCrgpFVLjzGmDa3ebt988w06d+6MWrVqYciQIbCy4netgnzY3+2LIqniYYD6w3M6mCZMNXnhoayMMR1KlwErYpS3za4MOBknHMZKJK0yoiFDhsDCwgIjR47E2LFj4efnB3t7e6V9JEnClStXdBKk2QnuxAmVofCcDtNkKsmMKScvXJ6cMcYYK1a0Sqzc3d3h4eGBwEBuBDDG8jClZMaUkxceysqYfnFJdMaYgWmVWB07dkzHYTDGig1TSmZMOXnJPZSVZOK8ybczxhhjzOzw5CjGmG6ZUjJj6vPw5PGYSg8fY4wxxrSmdWKVk5ODTZs2Yd++fbh//z4AoHz58ujatSsGDBgAS0tLnQVp1kxlrgljhmJqyYypz8MzpR4+xhhjjGlNq8QqOTkZHTp0wLlz5+Dk5IRKlSoBAA4ePIhff/0VK1euxJ9//glnZ2edBmt2TGmuCWOGZOrJjCkxpR4+xhhjjGmt0AsEA8D06dNx4cIFLF++HI8fP8bFixdx8eJFJCQk4LvvvsP58+cxffp0XcdqfngBW6ap6Ajg3B/iq6kyhxjNkbyHr9sovvnCGGOMmTGteqx27tyJ0aNHY/To0Urbra2tMWrUKNy4cQPbt2/H8uXLdRKk2eI70UwT5tCzaQ4xmrOi9vDxkGPGGGPM6LTqsXry5EmBpdarVauGpKQkrYMye/I7+wDfiWZvZg49m+YQY0klT3r3rhJfuUexSJ4/f45Zs2ahY8eOcHd3hyRJWL9+vdp9b9y4gY4dO8LR0RHu7u744IMP8PjxY5X9ZDIZvvrqK1SsWBF2dnaoU6cONm/erOcjYYwxZmhaJVZVqlTB7t2783189+7dqFy5stZBmbXoCGDDDGDTHPEVABp24KSK5c8cejbNIcaSipNenUpMTMScOXNw48YN1K1bN9/9YmJi0LJlS9y5cwfz58/HpEmTsG/fPrRr1w6ZmZlK+06fPh1TpkxBu3btsHz5cpQrVw79+/fHli1b9H04jDHGDEiroYCjR4/GmDFj0LlzZ4wfPx4BAQEAgIiICCxbtgwHDx7Ed999p9NAzca1E8DNs4C1LfDkIXD9BCdVrGDmsJ6RqVX6Y69x0qtTPj4+iIuLg7e3N86fP4/g4GC1+82fPx8vXrzAhQsXUK5cOQBAo0aN0K5dO6xfvx4jRowAAMTGxmLJkiX4+OOPFX8XP/roI7Rq1QqTJ09G7969uYouY4wVE1onVgkJCVi4cCH+/PNPpcesra0xc+ZMjBo1SicBmicCJEl8ZUwT5rCeEVf6M02c9OqUra0tvL2937jfr7/+iq5duyqSKgB4++23ERAQgK1btyoSq127diErK0tpTrIkSRg1ahT69++Pv//+G82bN9f9gTDGGDM4rdexmj17NsaMGYNDhw4prWP19ttvw9PTU2cBmp3aLYDAECAxBvAsC9RqYeyI3ownvpsGXs+IaUt+nZhib2cxFBsbi4SEBDRs2FDlsUaNGmH//v2K7y9duoRSpUqhevXqKvvJH+fEijHGigetEysA8PT0RL9+/XQVS/HgHwgMmWs+d4+52pvpMOSQLk6mixd+HxtUXFwcADFsMC8fHx8kJSUhIyMDtra2iIuLQ5kyZSBJksp+APDw4UO1PyMjIwMZGRmK71NSUnQVPiumLCWgRinVbYwxwylSYpWamor79+/j6dOnIFId9tayZcuivLz5MqchU9xLYjoMNaSLG+HFD7+PDSotLQ2AGDaYl52dnWIfW1tbxdeC9lNnwYIFCA0N1VXIrARwtwb+bWrsKBgr2bRKrJ48eYIxY8bg119/RU5ODgCAiBR35OT/lz/GTBhPfDcthkjKuRFe/PD72KDs7e0BQKlHSS49PV1pH3t7e432y2vq1KmYMGGC4vuUlBT4+/sXLXDGGGN6pVViNXz4cOzZswdjx45FixYt4Obmpuu4mKHwxPeShxvhxQ+/jw1KPoxPPiQwt7i4OLi7uyt6qXx8fHD06FGlm4+5n+vr66v2Z9ja2qrt6WKMMWa6tEqsDhw4gE8//RRfffWVruNhxmBOQxdZ0XEjvHji97HB+Pn5wcvLC+fPn1d57OzZswgKClJ8HxQUhLVr1+LGjRuoUaOGYvuZM2cUjzPGGCsetFog2MHBARUqVNBxKEJGRgamTJkCX19f2NvbIyQkBAcPHtT4+b/88guaNGmCUqVKwdXVFU2bNsWRI0f0EitjZss/kBeuZqwIevbsib179yI6Olqx7fDhw7h16xZ69+6t2Pbuu+/C2toaK1asUGwjIqxatQp+fn5o2pQnxTDGWHGhVY/VwIEDsXPnTqV1OXRlyJAh2L59O8aPH4+qVati/fr16Ny5M44ePfrGkrSzZ8/GnDlz0KtXLwwZMgRZWVm4fv06YmNjdR4nY4yx4um7777Ds2fPFBX79uzZg5iYGADAJ598AhcXF0ybNg3btm1DmzZtMG7cODx//hxhYWGoXbs2hg4dqnitsmXLYvz48QgLC0NWVhaCg4Px22+/4cSJEwgPD+fFgRljrBiRSF05vzc4ffo0PvnkE3h5eWHEiBHw9/dX+8ehfv36hXrds2fPIiQkBGFhYZg0aRIAMcG3Vq1aKF26NE6fPp3vc//55x80bdoUS5Yswaefflq4A8ojJSUFLi4uSE5OhrOzc5FeizHGmOZM4fO3QoUKivUZ84qMjFSM2Pj3338xYcIEnDx5EjY2NujSpQuWLFmCMmXKKD1HJpNh0aJFWL16NeLi4lC1alVMnToVAwYM0DgmUzgvZqd9yao1/iIHCItS3ja5AlCqOOTuBwrdVGVMpzT9DNYqsbKweD2CMO/aHID2VQE/++wzfP3110hKSlIKesGCBZg2bRoePHiQb1Wkfv364fjx44iJiYEkSXjx4gUcHR0L9fPl+A8YY4wZB3/+qsfnRQslLLF6nAmU/kt5W0IrwMvGOPHoFCdWzMg0/QzWaijgunXrtA6sIJcuXUJAQIBKwPIV6i9fvpxvYnX48GE0bdoUy5Ytw7x58/DkyRN4e3tj+vTpGDNmjF7iZYwxxhhjjDFAy8Rq8ODBuo4DgCg/m99K9kD+K9Q/ffoUiYmJOHXqFI4cOYJZs2ahXLlyWLduHT755BNYW1tj5MiR+f5cXuGeMcYYY4wxVhRaVQXMLS4uDleuXMGLFy+KHIy2K9Q/f/4cgFi4eO3atZg0aRL69OmDffv2oUaNGpg3b16BP3fBggVwcXFR/ONFGBljjDHGGGOFoVWPFQDs2rULU6ZMwe3btwEABw8exFtvvYXExES0a9cOM2fORPfu3Qv1mtquUC/fbm1tjV69eim2W1hYoG/fvpg1axYePHiAcuXKqX0+r3DPGGOMMWai9DlfjudvMR3Sqsdqz5496NGjBzw9PTFr1izkrn/h6ekJPz8/rF+/vtCv6+Pjk+9K9kD+K9S7u7vDzs4OHh4eKtUJS5cuDUAMF8yPra0tnJ2dlf4xxhhjjDHGmKa0SqzmzJmDli1b4uTJk/j4449VHm/SpAkuXbpU6NcNCgrCrVu3VOY4vWmFegsLCwQFBeHx48fIzMxUekw+L8vLy6vQ8TDGGGOMMcaYJrRKrK5fv44+ffrk+3iZMmWQkJBQ6Nft1asXcnJysGbNGsW2jIwMrFu3DiEhIYrheQ8ePMDNmzeVntu3b1/k5ORgw4YNim3p6ekIDw9HjRo18u3tYowxxhhjjLGi0mqOlYODQ4HFKu7duwcPD49Cv25ISAh69+6NqVOnIiEhAVWqVMGGDRsQFRWFH374QbHfoEGD8NdffykNQRw5ciTWrl2Ljz/+GLdu3UK5cuWwceNG3L9/H3v27Cl0LIwxxhhjjDGmKa16rNq0aYMNGzYgOztb5bH4+Hh8//33aN++vVYB/fTTTxg/fjw2btyIsWPHIisrC3v37kXLli0LfJ69vT2OHDmC/v3748cff8TkyZNhYWGBffv2oVOnTlrFwhhjjDHGGGOakCh3t4+GIiIi0LhxY1SoUAG9e/fGjBkzMGnSJFhbW2P16tUgIpw/fx4VKlTQQ8j6xyvcM8aYcfDnr3p8XrSgz0pyJuhxJlD6L+VtCa0ALxvjxGM2uCog04Cmn8Fa9VgFBgbi5MmT8PDwwIwZM0BECAsLw/z581G7dm2cOHHCbJMqxhhjjDHGGCssrdexqlmzJg4dOoSnT5/izp07kMlkqFSpkqL6HhFBkkrW3SLGGGOMMcZYyaRVj1Vubm5uCA4ORkhICLy8vJCZmYk1a9YgMDBQF/ExxhhjjDHGmMkrVI9VZmYmdu/ejbt378LNzQ1du3ZVlDF/+fIlvvvuO3zzzTeIj49H5cqV9RIwY8VKdAQQHwl4VwT8+WYEY4wx7UgAPK1VtzHGDEfjxOrhw4do3bo17t69qyhzbm9vj927d8PGxgb9+/dHbGwsGjVqhOXLl6NHjx56C5qxYiE6Ati+BHiWALiWBnpN5OSKMcaYVjxtgMetjR0FYyWbxonV9OnTERkZic8++wwtWrRAZGQk5syZgxEjRiAxMRE1a9bEpk2b0KpVK33Gy4q7ktSDEx8pkqpKdYF7V4BHUcX/mBljjDHGiimNE6uDBw9i6NChWLBggWKbt7c3evfujS5dumDXrl2wsCjylC1WkpW0HhzviuI4710RX8tUMHZEjDFmWCWsJDpjrHjTOLF69OgRGjdurLRN/v2HH37ISRUrupLWg+MfKJLHR1EiqSrOx8oYY4wxVsxpnFjl5OTAzs5OaZv8excXF91GxUqmktiD4x/ICRVjjDFmLPrsNeXFh0ucQlUFjIqKwsWLFxXfJycnAwBu374NV1dXlf3r169ftOhYycI9OIwxxhhjzExJJC/x9wYWFhZqF/xVtxCwfFtOTo5uojSwlJQUuLi4IDk5Gc7OzsYOhzHGSgz+/FWv2J4XnmOlM2k5wI8Plbd96AvYWxonHgbusSpGNP0M1rjHat26dToJjDHGGGOM6dbzHGDMTeVtfcpwYsWYIWmcWA0ePFifcTDGGGOMMcaY2eJSfowxxhhjjDFWRJxYMcYYY4wxxlgRcWLFGGOMMcYYY0XEiRVjjDHGGGOMFREnVowxxhhjjDFWRIVaIJgxxhhjjDGmAX2v08brZJkcTqwYM4ToCCA+EvCuCPgHGjsaxhjTHC/iyxhjGuHEinGjX9+iI4DtS4BnCYBraaDXRD7PjJUgGRkZmDlzJjZu3IinT5+iTp06mDdvHtq1a6e7H8LJD2Mljz7f99wbphWeY1XSyRv9e1eJr9ERxo6o+ImPFElVpbri66MoY0fEGDOgIUOG4Ouvv8aAAQPw7bffwtLSEp07d8bJkyeNHRpjjDEd4sSqpONGv/55VxQ9VfeuiK9lKhg7IsaYgZw9exZbtmzBggULEBYWhhEjRuDIkSMoX748PvvsM2OHxxhjTId4KGBJx41+/fMPFMP/HkWJ88vDABkrMbZv3w5LS0uMGDFCsc3Ozg7Dhg3DtGnTEB0dDX9/f81f8D0X/svNGGMmij+eSzpu9BuGfyCfW8ZKoEuXLiEgIADOzs5K2xs1agQAuHz5cuESK8YYYyaLEys1iMSEvZSUFCNHYiAuPuIfAJSUY2aMmST55678c9jcxcXFwcfHR2W7fNvDhw/VPi8jIwMZGRmK75OTkwEAKdl6CJIVC6lqro3UbMCWJ30wbbzFBXFyk3/2vulvEydWaqSmpgIA30VkjDEjSU1NhYuLi7HDKLK0tDTY2tqqbLezs1M8rs6CBQsQGhqqst3/hG7jY8Vb5VPGjoCx4uVNf5s4sVLD19cX0dHRcHJygiSpZuwpKSnw9/dHdHS0yvAOc2DO8XPsxsGxG0dJjJ2IkJqaCl9fXz1GZzj29vZKPU9y6enpisfVmTp1KiZMmKD4XiaTISkpCR4eHmr/Lpkyc76OzRmfd+Pg824c+j7vmv5t4sRKDQsLC5QtW/aN+zk7O5v1m8ac4+fYjYNjN46SFntx6KmS8/HxQWxsrMr2uLg4AMj3j7Stra1KT5erq6vO4zMkc76OzRmfd+Pg824c+jzvmvxt4pG3jDHGmJ4EBQXh1q1bKnN2z5w5o3icMcZY8cCJFWOMMaYnvXr1Qk5ODtasWaPYlpGRgXXr1iEkJITn8jLGWDHCQwG1YGtri1mzZqmdkGwOzDl+jt04OHbj4NjNX0hICHr37o2pU6ciISEBVapUwYYNGxAVFYUffvjB2OEZBF8LxsHn3Tj4vBuHqZx3iYpLTVvGGGPMBKWnp2PGjBnYtGkTnj59ijp16mDu3Lno0KGDsUNjjDGmQ5xYMcYYY4wxxlgR8RwrxhhjjDHGGCsiTqwYY4wxxhhjrIg4sWKMMcYYY4yxIuLEijHGWKHx9FzGGGOGIJPJjB2CxjixYkbHDTRW0iQnJxs7BK398ssvAABJkowcCTMl/DluGOnp6Urf83lnxdnt27eRk5MDCwvzSVfMJ1I9unTpEh48eKDU2DGXD6uXL18aOwSt3bt3Dy9fvlT5Q2EOrly5gtu3byMmJkaxzVyuGQDYtWsXRo8ejXv37gEwr7tBmzdvhpOTE06dOmXsUAptx44daN++PZYuXYqoqChjh1MoW7ZsQeXKlfH+++/j5MmTxg6HGdHBgwfx+eefY+XKlTh9+jQATrT17fr16+jduzf69euH//3vfzh79iwAPu/69ssvv+B///sfFi1apPS5Z05/783Rxo0bERAQgPbt26NGjRqYM2eO2dyQLNGJ1Y0bN9C8eXO0bdsWdevWRaNGjfDrr78iOzsbkiSZ9BsnIiICDRo0wEcffWTsUArt6tWr6NKlC7p164aKFSuidevWOHXqlEmfb7mrV6+iXbt26Nq1Kxo0aIC6deti2bJlimvGHBw8eBDdu3fHxo0bsXfvXgAwi7tBly5dQkhICD788EN06dIFzs7Oxg5JYw8fPkSXLl0waNAg2NjYwMHBAQ4ODsYOSyPy8z548GA4OTnBzs4OGRkZxg6LGUFycjL69u2Lbt26Yd++fZg4cSI6dOiAZcuWISkpCQA3OHVJfi43btyIJk2aIDY2FllZWdi8eTPatWuHxYsXGznC4uvRo0fo2LEjhg0bhnPnzmHRokV4++23MXv2bDx79szk24jm7Pvvv8eoUaPw1ltv4aOPPkL9+vUxe/ZsjB49Gnfv3gVg4jeDqYR69OgR1atXj5o2bUo//vgj/fjjj9S4cWNydXWlWbNmERGRTCYzbpBqyGQy2r59OwUEBJAkSSRJEh07dszYYWkkOzubli1bRl5eXtSqVSuaOXMmjR49mvz9/alatWomfRyZmZn05ZdfkqurK7Vq1YqWL19OmzdvptatW5OzszPt2LHD2CG+kfx6vnDhAnl4eJC9vT2FhITQ5cuXiYgoJyfHmOHl6+XLlzR06FCSJIlatWpFu3btokePHhk7rEKZNWsWVa9encLDw+nBgwfGDkcjycnJNGjQIJIkiVq3bk27du2iffv2kZ2dHS1evJiIxHualRxbt24lNzc3WrNmDT148IBu3LhBgwYNIltbW5o4caKxwyu2WrZsSR07dqSoqCgiIoqMjKQBAwaQJEm0efNmysjIMHKExc+GDRvI3d2dwsPD6eHDh/TkyRMaMmQIOTk50ejRo40dXrH1/Plzatq0Kb399tsUFxen2L5o0SJydnamfv36GTE6zZTYxGrLli1kZWVF27dvV2yLiYmhvn37kiRJdOjQISNGl7+7d+9SrVq1yMPDg+bNm0c1atSgxo0bU1ZWlrFDe6M//viDKlWqRB9++CHdvHlTsf3UqVMkSRJNmTLFZI9j3759VL9+fRo/fjzdunVL0aC8ffs2SZJEX331lUkm4ups376d2rdvT6tWrSJJkmjatGmK4zG1Y8jOzqYvv/ySJEmi4cOH0+PHj/O9RkwtdrkHDx5QmTJlaOzYsSrbczOl+F+8eEFVq1alSpUq0cqVK+n+/ftERHTv3j1yc3OjHj16mGwizvTnnXfeoRo1aqhsf++998jV1ZW2bNlCRJxw69LFixfJ0dGRvv76a6Xt9+/fp7Zt21KVKlXo5MmTRoqu+GrVqhU1btxYaduLFy9oyJAhJEkS7du3j4hM63O7OEhKSiJPT0+aN28eESl/lvzvf/8jOzs7+uGHH4jIdG8Gm/74Hz25f/8+SpUqhe7duwMAsrKy4Ofnh88++wzBwcEYP348EhISjBylKisrK7zzzjs4fPgwpk+fjo8//hhnzpzBhg0bjB3aG/3333+wtbXFwoULERgYCADIzMxE06ZNERISgosXL8LKysoku9ddXFwwYMAATJs2DVWrVoWlpSUAMe7dy8sL5cuXN/mhAfLY/P39cebMGYwcORJt27bFunXrcPToUSNHp56lpSU6dOiApk2b4sSJE/D09ISVlRV2796NIUOGYMqUKVi3bh0yMzNNdihmVFQUUlNTMWbMGABiWE/NmjXRsWNHdO/eHZs3bwZgOnMlZDIZHBwcsGHDBuzevRvDhg1DuXLlAAAVK1ZElSpVkJSUhKysLJO+3pluZWRkIDMzE66uroptmZmZAIDp06ejYsWKmDp1KrKzsxWfj6zovL29kZmZiVKlSgGAYhhuuXLlsHjxYsTGxmL9+vVITEw0ZpjFhkwmQ0ZGBuzs7GBlZaXYnp2dDQcHB3zyySeoX78+xo4dCyIymc9tc7Rv3z7Ur19fae5aSkoKJElCXFwcMjIyYGlpiZycHADAmDFjEBQUhNmzZyM9Pd10pzAYNa0zAHlGm/euwtKlS8nJyYmOHj1KRKR0x/6XX34hW1tbmj9/vtrnGkp+saenpyv+HxERQe3bt6eyZctSYmKiQeMrSO7Yc8cfERGh9DiROPetW7em5s2bU1pammEDVSO/857XiRMnqFatWuTs7EyzZ8+ma9eu0dOnT5VewxjeFP/27dupSpUqRER06dIlkiSJBg8eTElJSQU+zxDyi13euzZx4kRq3749SZJEVapUIScnJ5IkiXr06EHXr19Xeg1Dyy/28+fPk5WVFe3cuZN+/PFHsrCwoF69etHgwYOpdOnSJEkSrVu3zggRv6bJNS+TySgnJ4c+/vhjcnFxUVzrfMe2eElKSqJbt24pPg9y6927NwUEBCg+x3NbunQp2dnZ0ZdffklEpns32dykpKRQ3bp1qU2bNoptud9zkydPJicnJzp8+LAxwjNrN27coHHjxtEnn3xC06dPp1u3bikee++99ygwMJCuXbtGRMrX85o1a0iSJFq6dKnKY0wzkZGRVL58eZIkibp37670WOvWralRo0YUExOj8rxvv/2WnJycaOHChURkmn9/im1iJZ8Ts3btWqXt8l/CwYMHydbWlmbPnq3YJn9zxMfHU58+fcjLy8soY5fziz0/v/zyC9nb29Nnn32m58jerLCxyxOvevXqUd++fRXbjEGT2OXXyJQpU0iSJGrTpg0NHjyYhg0bRq6urkYd//um+OXn9ezZs+Tk5EQPHz4kIqJhw4aRra0t/fzzz0QkhjsY2pver/fv36devXqRJEn01ltv0R9//EH379+n2NhYmjt3LllYWFDv3r0NHjfRm8/7+fPnydPTkwYOHEh169alGTNmUGpqKhERXb16lTp06EAeHh5048YNQ4ZNRIV/vxIRzZgxgyRJot27d+sxMmYM06ZNo8DAQPLx8SEbGxv6/PPPlZKoffv2Keb1yMlvSkZHR1Pz5s2pbt269PjxY4PHXpxNnjyZvL296cCBA0SkPDzqzp075OnpSZMmTSIi02xompqMjAyaNGkS2dvbU8OGDalq1aokSRJVqlSJtm3bRkTiBqQkSfTjjz8q/u7Lz3tUVBS1bduWKlasyPPbtJScnEyurq5Us2ZNKlu2LP3000+KxzZu3EiWlpZKU3Xk5/7BgwdUt25dat26teLmnqkplonV8ePHqWbNmiRJErVv357+++8/IlL9wKlfvz7Vq1dPcUci9+Ph4eFkZWVFK1euVPtcY8eee1tCQgJ9+OGHZGdnp7hrb4wP18LEnlt0dDSVKlWKFixYQETGGZ+vaezy73fu3Em//PILJSYmKrZNnTqVLCwsKCwsjIgMexerMOd+69atFBAQoCgAkZKSQg4ODtSmTRsaOnQoffDBB4qky5RiDw8PpyFDhtCpU6dUHhswYAC5uLgoGvum9n5t1qwZWVhYkKenJ50+fVrpsQMHDpC7uzuNGzeOiAx33RT2/SqP68SJEyRJEm3durXA/Zn5uHr1KrVq1YrKli1L06ZNo/nz59OHH35IkiTRsGHDFPMao6OjKTg4mJo1a6bUqJFfA7NnzyYnJydFAsB049GjR+Tu7k79+/dX/H2Uvx9TU1NpwIAB5O/vb8wQzUZqaipNmzaNKlWqRIsWLaKIiAjKycmhw4cPk6+vL7Vo0YJevnxJ2dnZVLduXWrRooWiaEhuoaGh5OrqqphrxTQnk8koOjqaWrduTV9++SUFBgZScHAwPX/+nIjE3PXg4GAKCQlRukkjv+bHjBlDPj4+dO/ePaPE/ybFLrH6+++/qVq1alShQgXq3bs3SZJEixYtUprwLv9g2rVrF0mSRPPmzVMMQZM/FhERQWXLlqURI0YYrKGjSez5OXz4MPn5+al0qRpKUWI/fvw4SZJEf/75pwEiVVWY2AtqRN6+fZuqVKlCdevWVRquqW+axi+P/cSJE+Tg4EDR0dGKx95//32ytLQka2trmjVrluIDzhRil8ednJxMCQkJSs+X7/fPP/+QJElKPdCmELv88+SPP/5QVPGU90zJ73QmJCRQx44dyd/f32DXTVHer9evXyc3Nzf65JNPiIgTK3P39OlTGjJkCFWpUoV27Nih1GP97rvvkpeXF504cYKIxPvt+++/JwsLC/q///s/xfWdmZlJROLvpiRJiiqpPERKd+bMmUNeXl6Kifu5b0BOmTKFSpcuTXfv3jVWeGYjMjKSKlasSCNHjqRnz54pPTZy5Ejy8vKi8+fPE5HoOZEkib7++mvF+0L+uX3p0iWysLCgnTt3EhF/DhZWQkIC2dnZ0Y0bN2jhwoXk6OioKFiRnp5OGzZsIEtLS1qwYIHi3Mv/Pm7bto2sra3VDkk2BcUusfrvv//I1tZW0Z3bokULqlq1Kp06dUrt/p07dyZfX1/as2cPESl/WNWsWZMGDRpERIZ50xQ29txxPX/+XDFERz7W+q+//qJdu3Yp7WdKscutWLGCrKysFMOjsrOz6e7du4oPN1OOnUi58dCkSRNq3LixQROrvPG3bNmywPi3bNlCgYGB9OzZMzp69Cg1b96cLC0tydnZmapUqaJoRJnqNZ87Nvm5f/z4Mbm6uhp0OGxhY5eXRx45ciQRkVIS06tXL6pRowYlJyfrP3Aq2jWfkJBA5cuXp7Zt21JKSoq+Q2V6lpSURMHBwYoGO9HrROno0aNKf1OIRPXcHj16kK+vLx09elTpc+Lvv/8mW1tbWrVqleEOoIRIT0+nWrVqUZUqVVTu1I8ePZpKly5tskOjTIlMJqM1a9YobZNf71u3biUrKyvFza9nz55Rjx49yNvbm3777Tel55w9e5YkSaINGzYYJvBiJCcnh2JjYykwMJCOHz9O8fHx1LhxY6pYsaIiWYqPj6dhw4aRo6Mjbdy4UfFcmUxGH330EXl7e1N0dLRJJrTFKrGSJ0W572rLe0PGjh2raLTkbgjfv3+fHB0dqXHjxnTx4kXF9n/++YecnZ0pNDTUpGJXdxHJj+fmzZtUv359ql27NoWGhpK/vz95eHjofc2fosRORNStWzdq2rQpEYmhJps2baJ69epR/fr16cmTJyYbe967sX/++SdZW1vT+PHj9RixssLELz+Gw4cPk42NDXXt2pUsLS2pWbNmdPz4cdq6daui4W+IceO6PPcrVqwgSZLo+++/12PEr2nzWRMdHU3Ozs4qvbP//vsvVa5cmQYOHGiQPxK6OO89evSgmjVr0vPnz03yDxvTjPz3eePGDbUFTA4cOEBWVlb0yy+/KD3v2rVr5OfnRw0aNFBcy48ePaLPPvuMfH191Q6dYkX3999/k5+fH9WuXZtOnDhBDx48oN9//50qVqxIn376Kb8XNSS/qZV32kFYWBhZWloqLQcTHR1NZcqUoZo1a9Iff/xBRESxsbE0ZswYKl++PMXHxxsu8GIkKSmJHBwcFDfzVq9eTe7u7jRs2DAiIkpMTKT4+HgKCQkhFxcX+uKLL+jAgQO0du1aqlChgkmvJWa2idWWLVto5MiRtHDhQjp+/Lhie+4PFvkfisGDB5Orq6vKHQf5m2r9+vVUrlw5qlixIi1btozWrl1L3bp1I39/f7p69apJxq7O/fv3FWssSJJE7777rtJwL1OLXSaTUWpqKvn4+FC/fv3o0KFD9M4775AkSdSxY0e1FWFMJfbcHj58SHv27KFWrVpRjRo1FHP2dE1X8Z86dYrq1KlD1atXp++++46io6MV74VmzZrR8OHDdZ5Y6evcx8fH086dO6lOnTrUqlUrvVTG1OVnzZYtW8jHx4fc3d1p+PDhNH/+fOrUqRO5ubnpZSisPs67TCajefPmkSRJiruL3KArXuS/z927d5MkSYqGZu7f87Fjx6hSpUokSRI1a9aM2rZtS7a2tjR58mTKyMjga0JPjhw5QpUqVSJra2uqXLkyOTs7U/369Y1S/Ka4kH8Gjhs3jry9vRU9WPLP7T///JPq169PkiRRUFAQNWnShKytrSk0NJSys7P5WtfCvXv3KCAgQPH3JiMjg7p3706enp7Ut29fql+/Pl24cIHu3btHI0eOJEmSyNXVlezs7Oj999832OgObZhdYhUfH08dOnSgUqVKUf369cnNzY1sbW1p1qxZim7wvIudxsTEkKOjI/Xo0UORaOTk5Kj8kWjWrBm5uLiQh4cH1alTR+eL7uky9rxOnDhBHTt2JAsLC6pXr57Gw9iMHfudO3fIwcGB6tevT46OjhQYGKjzsrH6iv3YsWM0fPhw6tWrFzk5OVHdunXp3LlzOo1dl/HL79JlZmbS8ePH6dq1a4oESv48XZe71+e5/9///kfvv/8+OTo6Uv369eny5csmG3vuz5pTp05Rhw4dyNXVlUqXLk316tVTSnpMLXZ1li5dSpIkKVVtYsXP559/Tm5ubvT06VO18x7v3LlDs2fPpr59+1LHjh1p7969xgq1RLlz5w6Fh4fTzJkzlYZJsaJp0KAB9ezZk4hUe7MeP35MCxcupOHDh1Pfvn1VihCxwnny5AnZ2toqtbMnT55MNjY2ZGlpSdOnT1cabXXjxg06evSookCbKTO7xGrDhg3k7u5O4eHh9PDhQ3ry5AkNGTKEnJyc1HYNyv8AfPnll2RhYUFr1qxRauTk/n9aWho9evRIL41jfcSe26FDh8jGxoa+++47s4r9yJEjJEkSlS5d2uxi37NnD1WpUoVat25NP/74o15i11f8hrrDpq9zv337dnJ0dKSQkBC9Df/T52dNRkYGPX36lK5cuWIWscvJE624uDhav369XmJnxif/PXfo0IGaNGmi8f6MmauEhASyt7dXVPUlEte1uvXcWNHdvXuXAgIC6MCBA3T69Glq0aIFWVpaUtWqVcnZ2VkxT9MYVaKLyuwSq1atWlHjxo2Vtr148YIGDx5MkiQpSl/m/aDPzMykypUrU0hIiGIRuLt37yrNM9D3Hwd9xk6k3wtQ17HnvhOxevVqRde7ucV+9+5ds7pu7ty5o3Ld6JM+z/2VK1fM6povLp81POyl+CjoOszOziZXV1eaMWOGYtuTJ0/oyJEj9PLlSyLia4EVH/KbvMeOHSMicfNo48aNFBwcbNC/mSVFTEwM2draUlBQEFlZWVGTJk3owIEDdOrUKapZsyb5+fmZbVJrNolVTk4OpaenU4cOHahZs2aK7fLhCRcuXKAGDRpQpUqVVD7s85ZXnzJlCq1bt47q169PY8eO1fuCqBy7+tj1XVFMn7Ebohy5PuOXN4zMMXZ9n3t+vxondmY4MplMKanauXMnnT17VmmfixcvKioCpqWl0enTpxVrW8nXd2TM3Mk/BxctWkSurq5069YtOnr0KHXv3p2sra2pYcOGSutVMt3Izs6mDz74gKpUqULLly+nBw8eKP4GzZgxgwYNGkTJyclmed5NMrG6ceMGjRs3jj755BOaPn264s4pEdF7771HgYGBigIBuf84rFmzhiRJoqVLlxKRag9OVlYWBQcHk6WlJUmSRD4+PooqLxw7x26s2M09fo6dY2fmI/fv+/r169S2bVuSJInmz5+v1Ij59ttvydLSkrZv307z5s0jDw8P8vb2pp9//tkYYTOmVz169KDKlSvT8OHDycnJiapWrcoLXetZTEwMXb9+XWV5Gk3WUzRlJpVYZWRk0KRJk8je3p4aNmxIVatWJUmSqFKlSor1VrZv306SJNGPP/6oaCzI/1BERUVR27ZtqWLFiiqT8i9evEjTp08nR0dHcnJyom+++YZj59iNGru5x8+xc+zMfOROqFJTU2nEiBEkSRI1atRIMReP6HUSPmrUKCpVqhRVqlSJrKysaPr06UaJmzF9S0tLo6CgIJIkiZydnRU3nRjThskkVqmpqTRt2jSqVKkSLVq0iCIiIignJ4cOHTpEvr6+1KJFC3r58iVlZ2dT3bp1qWXLlmrXypg9eza5uroq5hAQiUbDmDFjSJIkGjx4sGIhWo6dYzdW7OYeP8fOsTPzkHsNOyJR0dHJyYn8/Pzoq6++otu3b6uda9WsWTOSJIkGDhzIc0xYsffZZ5/RlClTVHpPGCssk0msIiMjqWLFijRy5Eh69uyZ0mMj8A4FSAAAFfhJREFUR44kLy8vOn/+PBERbdy4kSRJoq+//lox7l9+5/XSpUtkYWFBO3fuJKLXXYpnz56l//77j2Pn2E0idnOPn2Pn2Jl5+eOPP6hatWpkZ2dHo0ePprNnz6pdXkHes3XmzBnFtcRYcceVLZmumExiJZPJaM2aNUrb5JXitm7dSlZWVooF8J49e0Y9evQgb29vlcUsz549S5Ik0YYNGwwTOHHsRBy7Nsw5fo6dY2fmIScnh7744guSJIm6detGv//+u2ItM8YYY7plMokV0eu7pnknU4eFhZGlpaVi9XcioujoaCpTpgzVrFlTMbE6NjaWxowZQ+XLl6f4+HjDBU4cO8euHXOOn2Pn2Jl5OHr0KG3YsIFiYmKMHQpjjBVrJpVY5SXvmh03bhx5e3sr7szKGxR//vkn1a9fnyRJoqCgIGrSpAlZW1tTaGgoZWdnG7VMI8fOsWvDnOPn2Dl2ZpryzrPi3zljjOmHREQEE9ewYUNUqFAB27dvR05ODiwtLRWPJSYm4ocffsDdu3eRkpKCcePGoUmTJkaMVhnHbhzmHDtg3vFz7MZhzrEzxhhjxYKxM7s3SUhIIHt7ewoLC1Nsy8nJMYsVmTl24zDn2InMO36O3TjMOXbGGGOsuLAwdmL3JtevX0d6ejqCg4MBAPHx8fj555/RoUMHPH782MjRFYxjNw5zjh0w7/g5duMw59gZY4yx4sJkEyt6NULx3LlzcHFxga+vL44dO4bRo0fjww8/BBHBwsJCsZ8p4diNw5xjB8w7fo7dOMw5dsYYY6y4sTJ2APmRJAkAcObMGXh4eCAsLAxbtmyBt7c39u3bh3bt2hk5wvxx7MZhzrED5h0/x24c5hw7Y4wxVuwYbtRh4aWlpVFQUBBJkkTOzs60dOlSY4ekMY7dOMw5diLzjp9jNw5zjp0xxhgrTky+KuCUKVMgSRJCQ0Nha2tr7HAKhWM3DnOOHTDv+Dl24zDn2BljjLHiwuQTK5lMBgsLk50KViCO3TjMOXbAvOPn2I3DnGNnjDHGiguTT6wYY4wxxhhjzNTxLU7GGGOMMcYYKyJOrBhjjDHGGGOsiDixYowxxhhjjLEi4sSKMcYYY8zMrF+/HpIkISoqSqvnDxkyBBUqVNBpTIZU1ONXJyoqCpIkYf369Tp7zcLq3Lkzhg8frrPX69evH/r06aOz12MF48SKMcYYYyXGihUrIEkSQkJCjB0KM5Kff/4Z33zzjbHDUHHq1CkcOHAAU6ZMUWx79uwZBgwYADc3N1SqVAk//PCDyvPOnz8PBwcHREZGqjw2ZcoU/Prrr7hy5YpeY2cCJ1aMMcYYKzHCw8NRoUIFnD17Fnfu3DF2OMwI8kusypcvj7S0NHzwwQeGDwpAWFgY2rZtiypVqii2TZo0CceOHUNoaCi6du2K4cOH4/Tp04rHiQhjx47F+PHjUbFiRZXXrFevHho2bIglS5YY5BhKOk6sGGOMMVYiREZG4vTp0/j666/h5eWF8PBwY4dU4rx48cLYIeRLkiTY2dnB0tLS4D87ISEB+/btUxm2t3fvXixYsABjx47FsmXL0LJlS+zZs0fxeHh4OO7fv49p06bl+9p9+vTBjh078Pz5c73FzwROrBhjjDFWIoSHh8PNzQ1dunRBr1691CZW8nk2ixcvxpo1a1C5cmXY2toiODgY586dU9p3yJAhcHR0RGxsLN577z04OjrCy8sLkyZNQk5OjmK/Y8eOQZIkHDt2TO3Pyj2n5+rVqxgyZAgqVaoEOzs7eHt748MPP8STJ0+0Pu7ffvsNtWrVgp2dHWrVqoWdO3eq3U8mk+Gbb75BzZo1YWdnhzJlymDkyJF4+vSpyn6zZ8+Gr68vHBwc0KZNG/z333+oUKEChgwZothPPg/qr7/+wujRo1G6dGmULVsWAHD//n2MHj0agYGBsLe3h4eHB3r37q12ztS///6Lt956C/b29ihbtizmzZsHmUymst+uXbvQpUsX+Pr6wtbWFpUrV8bcuXOVfhetW7fGvn37cP/+fUiSBEmSFHPN8ptjdeTIEbRo0QKlSpWCq6sr3n33Xdy4cUNpn9mzZ0OSJNy5cwdDhgyBq6srXFxcMHToULx8+TK/X43Cvn37kJ2djbfffltpe1paGtzc3BTfu7u7K17vxYsX+Pzzz7FgwQI4Ojrm+9rt2rXDixcvcPDgwTfGwYrGytgBMMZeW79+PYYOHar43tbWFu7u7qhduza6dOmCoUOHwsnJqdCve/r0aRw4cADjx4+Hq6urDiNmjDHzER4ejh49esDGxgbvv/8+Vq5ciXPnziE4OFhl359//hmpqakYOXIkJEnCV199hR49euDevXuwtrZW7JeTk4MOHTogJCQEixcvxqFDh7BkyRJUrlwZo0aNKnSMBw8exL179zB06FB4e3vj33//xZo1a/Dvv//in3/+gSRJhXq9AwcOoGfPnqhRowYWLFiAJ0+eYOjQoYoEJ7eRI0cq/g6NHTsWkZGR+O6773Dp0iWcOnVKcdxTp07FV199hW7duqFDhw64cuUKOnTogPT0dLUxjB49Gl5eXpg5c6aix+rcuXM4ffo0+vXrh7JlyyIqKgorV65E69at8d9//8HBwQEAEB8fjzZt2iA7Oxuff/45SpUqhTVr1sDe3l7l56xfvx6Ojo6YMGECHB0dceTIEcycORMpKSkICwsDAEyfPh3JycmIiYnB0qVLAaDApOTQoUPo1KkTKlWqhNmzZyMtLQ3Lly9Hs2bNcPHiRZUCIH369EHFihWxYMECXLx4EWvXrkXp0qWxaNGiAn9Pp0+fhoeHB8qXL6+0PTg4GF9//TWqVauGe/fu4Y8//sD3338PAJg/fz78/PzeOHSxRo0asLe3x6lTp9C9e/cC92VFRIwxk7Fu3ToCQHPmzKGNGzfSjz/+SPPnz6f27duTJElUvnx5unLlSqFfNywsjABQZGSk7oNmjDEzcP78eQJABw8eJCIimUxGZcuWpXHjxintFxkZSQDIw8ODkpKSFNt37dpFAGjPnj2KbYMHD1Z8ZudWr149atCggeL7o0ePEgA6evSo2p+1bt06xbaXL1+qxL5582YCQMePH1dsk/+9eNPnelBQEPn4+NCzZ88U2w4cOEAAqHz58optJ06cIAAUHh6u9Pw//vhDaXt8fDxZWVnRe++9p7Tf7NmzCQANHjxYJcbmzZtTdna20v7qjvPvv/8mAPTTTz8pto0fP54A0JkzZxTbEhISyMXFReX41b3myJEjycHBgdLT0xXbunTponTscup+H0FBQVS6dGl68uSJYtuVK1fIwsKCBg0apNg2a9YsAkAffvih0mt2796dPDw8VH5WXs2bN1e6ZuSuXr1KZcuWJQAEgHr27Ek5OTl07949sre3p7///vuNr01EFBAQQJ06ddJoX6Y9HgrImAnq1KkTBg4ciKFDh2Lq1Kn4888/cejQISQkJOCdd95BWlqasUNkjDGzEh4ejjJlyqBNmzYAxHyavn37YsuWLUpDxeT69u2rNASrRYsWAIB79+6p7Pu///1P6fsWLVqo3U8TuXti0tPTkZiYiMaNGwMALl68WKjXiouLw+XLlzF48GC4uLgotrdr1w41atRQ2nfbtm1wcXFBu3btkJiYqPjXoEEDODo64ujRowCAw4cPIzs7G6NHj1Z6/ieffJJvHMOHD1eZt5T7OLOysvDkyRNUqVIFrq6uSse5f/9+NG7cGI0aNVJs8/LywoABA1R+Tu7XTE1NRWJiIlq0aIGXL1/i5s2b+caXH/n5GzJkCNzd3RXb69Spg3bt2mH//v0qz1F3LTx58gQpKSkF/qwnT54oXW9ytWvXxu3bt3Hu3Dncvn0b27dvh4WFBSZOnIiePXuicePG2LFjB+rWrYuKFStizpw5ICKV13Fzc0NiYqKmh860xIkVY2birbfewowZM3D//n1s2rQJgGZj8WfPno3JkycDACpWrKgYU557HPumTZvQoEED2Nvbw93dHf369UN0dLRBj48xxvQlJycHW7ZsQZs2bRAZGYk7d+7gzp07CAkJwaNHj3D48GGV55QrV07pe3mjN+98Izs7O3h5eansm3c/TSUlJWHcuHEoU6YM7O3t4eXlpaj2lpycXKjXun//PgCgatWqKo8FBgYqfX/79m0kJyejdOnS8PLyUvr3/PlzJCQkKL1m7sp1gJj7oy4xAKC2Wl1aWhpmzpwJf39/2NrawtPTE15eXnj27JnScd6/f1+j+AExF6t79+5wcXGBs7MzvLy8MHDgQACFP3fyn53fz6pevToSExNVinFoet2ooy4hAsQ11rBhQ8U5P3LkCA4cOICFCxciIiIC/fr1w/jx4/Hjjz9ixYoVatfhIqJCDyNlhcdzrBgzIx988AGmTZuGAwcOYPjw4RqNxe/Rowdu3bqFzZs3Y+nSpfD09AQARUPgyy+/xIwZM9CnTx989NFHePz4MZYvX46WLVvi0qVLPCeLMWb2jhw5gri4OGzZsgVbtmxReTw8PBzt27dX2pZfZbi8jV9NKsjl16BV11PWp08fnD59GpMnT0ZQUBAcHR0hk8nQsWNHtQUbdEUmk6F06dL5VkrMmzwWhrr5UJ988gnWrVuH8ePHo0mTJnBxcYEkSejXr59Wx/ns2TO0atUKzs7OmDNnDipXrgw7OztcvHgRU6ZM0eu5y03T6yYvDw8PjZKvnJwcjBs3Dp9//jn8/Pwwd+5cNG3aVDE/e+TIkQgPD1earw2IxE5dgsp0ixMrxsxI2bJl4eLigrt37wIQE4InTpyotE/jxo3x/vvv4+TJk2jRogXq1KmD+vXrY/PmzXjvvfeUJtrev38fs2bNwrx585RKtfbo0QP16tXDihUrCizhyhhj5iA8PBylS5fG//3f/6k8tmPHDuzcuROrVq1SmwDogrzX4tmzZ0rb5T0ick+fPsXhw4cRGhqKmTNnKrbfvn1bq58rL4Sg7vkRERFK31euXBmHDh1Cs2bNCjwP8te8c+eOUk/UkydPCtVLt337dgwePFhpfaX09HSVc1S+fHmN4j927BiePHmCHTt2oGXLlort6hbN1bTnRn6seX8WANy8eROenp4oVaqURq/1JtWqVcOvv/76xv1WrlyJ1NRUTJo0CQDw8OFD+Pr6Kh739fVFbGys0nOys7MRHR2Nd955RyexsvzxUEDGzIyjoyNSU1MBFH0s/o4dOyCTydCnTx+lMfXe3t6oWrWqYkw9Y4yZq7S0NOzYsQNdu3ZFr169VP6NGTMGqamp2L17t95iKF++PCwtLXH8+HGl7StWrFD6Xt7bkbd3Q91itprw8fFBUFAQNmzYoDQU7uDBg/jvv/+U9u3Tpw9ycnIwd+5cldfJzs5WJDxt27aFlZUVVq5cqbTPd999V6jYLC0tVY5z+fLlKr14nTt3xj///IOzZ88qtj1+/FilZ03ducvMzFQ5xwBQqlQpjYYG5j5/uRO+69ev48CBA+jcufMbX0NTTZo0wdOnTwucm5eUlIRZs2YhLCwMdnZ2AIAyZcoozR+7ceMGvL29lZ7333//IT09HU2bNtVZvEw97rFizMw8f/4cpUuXBiA+ZENDQ7FlyxbF+Hc5Tf5o3L59G0SU7/CA3CWFGWPMHO3evRupqan53q1v3LixYrHgvn376iUGFxcX9O7dG8uXL4ckSahcuTL27t2r8rnt7OyMli1b4quvvkJWVhb8/Pxw4MABtb0umlqwYAG6dOmC5s2b48MPP0RSUhKWL1+OmjVrKi0Y26pVK4wcORILFizA5cuX0b59e1hbW+P27dvYtm0bvv32W/Tq1QtlypTBuHHjsGTJErzzzjvo2LEjrly5gt9//x2enp4a9wZ17doVGzduhIuLC2rUqIG///4bhw4dgoeHh9J+n332GTZu3IiOHTti3LhxinLr5cuXx9WrVxX7NW3aFG5ubhg8eDDGjh0LSZKwceNGtUPwGjRogF9++QUTJkxAcHAwHB0d0a1bN7VxhoWFoVOnTmjSpAmGDRumKLfu4uKC2bNna3SsmujSpQusrKxw6NAhjBgxQu0+M2bMQO3atdG7d2/Ftp49e2LOnDkYNWoUypcvj9WrV+Prr79Wet7Bgwfh4OCAdu3a6Sxeph4nVoyZkZiYGCQnJysmsBZ1LL5MJoMkSfj999/VjgsvaG0PxhgzB+Hh4bCzs8u3UWlhYYEuXbogPDy8SIvwvsny5cuRlZWFVatWwdbWFn369EFYWBhq1aqltN/PP/+MTz75BP/3f/8HIkL79u3x+++/Kw33KoyOHTti27Zt+OKLLzB16lRUrlwZ69atw65du1QWLF61ahUaNGiA1atXY9q0abCyskKFChUwcOBANGvWTLHfokWL4ODggO+//x6HDh1CkyZNcODAATRv3lzRk/Im3377LSwtLREeHo709HQ0a9YMhw4dQocOHZT28/HxwdGjR/HJJ59g4cKF8PDwwP/+9z/4+vpi2LBhiv08PDywd+9eTJw4EV988QXc3NwwcOBAtG3bVuU1R48ejcuXL2PdunVYunQpypcvn29i9fbbb+OPP/7ArFmzMHPmTFhbW6NVq1ZYtGiR2qIc2ipTpgw6d+6MrVu3qk2srl27hrVr1+LMmTNK22vXro1169Zh9uzZSE1NxejRo1Wev23bNvTo0UOrdTBZIRmpzDtjTA35mh/nzp1T+/j8+fMJAK1du5aSkpIIAIWGhirtc+vWLQJAs2bNUmxbvHix2vVOvvrqKwJAERERuj4UxhhjJcjTp08JAM2bN8/YoZit48ePk4WFBd26dUtnr3np0iWSJIkuXbqks9dk+eM5VoyZiSNHjmDu3LmoWLEiBgwYUKix+PLJtXknBffo0QOWlpYIDQ1VeR0i0uvdW8YYY+ZJ3VqK8r89rVu3NmwwxUiLFi3Qvn17fPXVVzp7zYULF6JXr14ICgrS2Wuy/PFQQMZM0O+//46bN28iOzsbjx49wpEjR3Dw4EGUL18eu3fvhp2dHezs7DQei9+gQQMAwPTp09GvXz9YW1ujW7duqFy5MubNm4epU6ciKioK7733HpycnBAZGYmdO3dixIgRispDjDHGGAD88ssvWL9+PTp37gxHR0ecPHkSmzdvRvv27ZWGDLLC+/3333X6euqWF2D6w4kVYyZIXmbXxsYG7u7uqF27Nr755hsMHTpUaYy0pmPxg4ODMXfuXKxatQp//PEHZDIZIiMjUapUKXz++ecICAjA0qVLERoaCgDw9/dH+/btuTQrY4wxFXXq1IGVlRW++uorpKSkKApazJs3z9ihMWZUEuUd/8MYY4wxxhhjrFB4jhVjjDHGGGOMFREnVowxxhhjjDFWRJxYMcYYY4wxxlgRcWLFGGOMMcYYY0XEiRVjjDHGGGOMFREnVowxxhhjjDFWRJxYMcYYY4wxxlgRcWLFGGOMMcYYY0XEiRVjjDHGGGOMFREnVowxxhhjjDFWRJxYMcYYY4wxxlgRcWLFGGOMMcYYY0XEiRVjjDHGGGOMFdH/A/3SxnJjnIwmAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot the clear-sky-based results\n",
-    "fig = ta.plot_degradation_summary('clearsky', summary_title='Clear-sky-based degradation results',\n",
-    "                                   scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "                                   hist_xmin=-30, hist_xmax=45, plot_color='orangered');"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The TrendAnalysis class also has built-in methods for plots associated with soiling analysis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:165: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = ta.plot_soiling_monte_carlo('sensor', profile_alpha=0.01, profiles=500);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:225: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = ta.plot_soiling_interval('sensor');"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:265: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = ta.plot_soiling_rate_histogram('sensor', bins=50);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can also view a table of the valid soiling intervals and associated metrics"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>start</th>\n",
-       "      <th>end</th>\n",
-       "      <th>soiling_rate</th>\n",
-       "      <th>soiling_rate_low</th>\n",
-       "      <th>soiling_rate_high</th>\n",
-       "      <th>inferred_start_loss</th>\n",
-       "      <th>inferred_end_loss</th>\n",
-       "      <th>length</th>\n",
-       "      <th>valid</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2010-03-11 00:00:00-07:00</td>\n",
-       "      <td>2010-04-08 00:00:00-07:00</td>\n",
-       "      <td>-0.001467</td>\n",
-       "      <td>-0.004335</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.037802</td>\n",
-       "      <td>0.996718</td>\n",
-       "      <td>28</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>2010-04-12 00:00:00-07:00</td>\n",
-       "      <td>2010-06-13 00:00:00-07:00</td>\n",
-       "      <td>-0.000701</td>\n",
-       "      <td>-0.001058</td>\n",
-       "      <td>-0.000336</td>\n",
-       "      <td>1.012347</td>\n",
-       "      <td>0.968893</td>\n",
-       "      <td>62</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>2010-06-15 00:00:00-07:00</td>\n",
-       "      <td>2010-07-13 00:00:00-07:00</td>\n",
-       "      <td>-0.000639</td>\n",
-       "      <td>-0.001763</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.082671</td>\n",
-       "      <td>1.064776</td>\n",
-       "      <td>28</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>2010-10-11 00:00:00-07:00</td>\n",
-       "      <td>2011-02-04 00:00:00-07:00</td>\n",
-       "      <td>-0.001216</td>\n",
-       "      <td>-0.001407</td>\n",
-       "      <td>-0.001022</td>\n",
-       "      <td>1.064267</td>\n",
-       "      <td>0.923230</td>\n",
-       "      <td>116</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>2011-02-13 00:00:00-07:00</td>\n",
-       "      <td>2011-03-03 00:00:00-07:00</td>\n",
-       "      <td>-0.003159</td>\n",
-       "      <td>-0.005266</td>\n",
-       "      <td>-0.001054</td>\n",
-       "      <td>1.028467</td>\n",
-       "      <td>0.971602</td>\n",
-       "      <td>18</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                       start                       end  soiling_rate  \\\n",
-       "6  2010-03-11 00:00:00-07:00 2010-04-08 00:00:00-07:00     -0.001467   \n",
-       "8  2010-04-12 00:00:00-07:00 2010-06-13 00:00:00-07:00     -0.000701   \n",
-       "10 2010-06-15 00:00:00-07:00 2010-07-13 00:00:00-07:00     -0.000639   \n",
-       "13 2010-10-11 00:00:00-07:00 2011-02-04 00:00:00-07:00     -0.001216   \n",
-       "16 2011-02-13 00:00:00-07:00 2011-03-03 00:00:00-07:00     -0.003159   \n",
-       "\n",
-       "    soiling_rate_low  soiling_rate_high  inferred_start_loss  \\\n",
-       "6          -0.004335           0.000000             1.037802   \n",
-       "8          -0.001058          -0.000336             1.012347   \n",
-       "10         -0.001763           0.000000             1.082671   \n",
-       "13         -0.001407          -0.001022             1.064267   \n",
-       "16         -0.005266          -0.001054             1.028467   \n",
-       "\n",
-       "    inferred_end_loss  length  valid  \n",
-       "6            0.996718      28   True  \n",
-       "8            0.968893      62   True  \n",
-       "10           1.064776      28   True  \n",
-       "13           0.923230     116   True  \n",
-       "16           0.971602      18   True  "
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
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-   "source": [
-    "interval_summary = ta.results['sensor']['srr_soiling']['calc_info']['soiling_interval_summary']\n",
-    "interval_summary[interval_summary['valid']].head()"
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-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Modifying and inspecting the filters\n",
-    "Filters can be adjusted from their default paramters by modifying the attribute `TrendAnalysis.filter_params`, which is a dict where the keys are names of functions in `rdtools.filtering`, and the values are a dict of the parameters for the associated filter. In the following example we modify the POA filter to have a low cutoff of 500 W/m^2 and use an alternate method in the clipping filter."
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-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Instantiate a new instance of TrendAnalysis\n",
-    "ta_new_filter = rdtools.TrendAnalysis(df['power'], df['poa'], \n",
-    "                                      temperature_ambient=df['Tamb'],\n",
-    "                                      gamma_pdc=meta['gamma_pdc'],\n",
-    "                                      interp_freq=freq,\n",
-    "                                      windspeed=df['wind_speed'],\n",
-    "                                      temperature_model=meta['temp_model_params'])\n",
-    "\n",
-    "# Modify the poa and clipping filter parameters\n",
-    "ta_new_filter.filter_params['poa_filter'] = {'poa_global_low':500}\n",
-    "ta_new_filter.filter_params['clip_filter'] = {'model':'xgboost'}\n",
-    "\n",
-    "# Run the YOY degradation analysis\n",
-    "ta_new_filter.sensor_analysis()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>normalized_filter</th>\n",
-       "      <th>poa_filter</th>\n",
-       "      <th>tcell_filter</th>\n",
-       "      <th>clip_filter</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2010-02-25 14:16:00-07:00</th>\n",
-       "      <td>False</td>\n",
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-       "      <th>2010-02-25 14:19:00-07:00</th>\n",
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-       "      <th>2010-02-25 14:20:00-07:00</th>\n",
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-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
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-      "text/plain": [
-       "                           normalized_filter  poa_filter  tcell_filter  \\\n",
-       "2010-02-25 14:16:00-07:00              False       False          True   \n",
-       "2010-02-25 14:17:00-07:00               True       False          True   \n",
-       "2010-02-25 14:18:00-07:00               True       False          True   \n",
-       "2010-02-25 14:19:00-07:00               True       False          True   \n",
-       "2010-02-25 14:20:00-07:00               True       False          True   \n",
-       "\n",
-       "                           clip_filter  \n",
-       "2010-02-25 14:16:00-07:00         True  \n",
-       "2010-02-25 14:17:00-07:00         True  \n",
-       "2010-02-25 14:18:00-07:00         True  \n",
-       "2010-02-25 14:19:00-07:00         True  \n",
-       "2010-02-25 14:20:00-07:00         True  "
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# We can inspect the filter components with the attributes sensor_filter_components and clearsky_filter_components\n",
-    "ta_new_filter.sensor_filter_components.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2010-02-25 14:16:00-07:00    False\n",
-       "2010-02-25 14:17:00-07:00    False\n",
-       "2010-02-25 14:18:00-07:00    False\n",
-       "2010-02-25 14:19:00-07:00    False\n",
-       "2010-02-25 14:20:00-07:00    False\n",
-       "Freq: T, dtype: bool"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# and we can inspect the final filter sensor_filter and clearsky_filter\n",
-    "ta_new_filter.sensor_filter.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
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h=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)h*=e;this.imuln(h),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},i.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},i.prototype.clone=function(){var t=new i(null);return this.copy(t),t},i.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},i.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},i.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function f(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var a=0|t.words[0],i=0|e.words[0],o=a*i,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(a=0|t.words[d])*(i=0|e.words[p])+h)/67108864|0,h=67108863&o}r.words[c]=0|h,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}i.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var a=0,i=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<a|i)).toString(16);r=0!==(i=s>>>24-a&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(a+=2)>=26&&(a-=26,o--)}for(0!==i&&(r=i.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var f=u[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var g=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?g+r:c[f-g.length]+g+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base should be between 2 and 36\")},i.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,\"Number can only safely store up to 53 bits\"),0!==this.negative?-t:t},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toBuffer=function(t,e){return n(\"undefined\"!=typeof o),this.toArrayLike(o,t,e)},i.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},i.prototype.toArrayLike=function(t,e,r){var a=this.byteLength(),i=r||Math.max(1,a);n(a<=i,\"byte array longer than desired length\"),n(i>0,\"Requested array length <= 0\"),this.strip();var o,s,l=\"le\"===e,c=new t(i),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<i;s++)c[s]=0}else{for(s=0;s<i-a;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[i-s-1]=o}return c},Math.clz32?i.prototype._countBits=function(t){return 32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},i.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},i.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},i.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},i.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},i.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},i.prototype.isNeg=function(){return 0!==this.negative},i.prototype.neg=function(){return this.clone().ineg()},i.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},i.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},i.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},i.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},i.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},i.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},i.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],I=8191&P,z=P>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,U))|0)+((8191&(a=(a=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((i=Math.imul(f,V))+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),a=(a=Math.imul(d,V))+Math.imul(g,U)|0,i=Math.imul(g,V);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),a=(a=Math.imul(v,V))+Math.imul(y,U)|0,i=Math.imul(y,V),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,Z)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),a=(a=Math.imul(b,V))+Math.imul(_,U)|0,i=Math.imul(_,V),n=n+Math.imul(v,H)|0,a=(a=a+Math.imul(v,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,Z)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),a=(a=Math.imul(T,V))+Math.imul(k,U)|0,i=Math.imul(k,V),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,a=(a=a+Math.imul(v,Z)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),a=(a=Math.imul(A,V))+Math.imul(S,U)|0,i=Math.imul(S,V),n=n+Math.imul(T,H)|0,a=(a=a+Math.imul(T,G)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,Z)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,a=(a=a+Math.imul(v,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),a=(a=Math.imul(C,V))+Math.imul(L,U)|0,i=Math.imul(L,V),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,a=(a=a+Math.imul(T,Z)|0)+Math.imul(k,W)|0,i=i+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,a=(a=a+Math.imul(v,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),a=(a=Math.imul(I,V))+Math.imul(z,U)|0,i=Math.imul(z,V),n=n+Math.imul(C,H)|0,a=(a=a+Math.imul(C,G)|0)+Math.imul(L,H)|0,i=i+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,Z)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(k,J)|0,i=i+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,a=(a=a+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),a=(a=Math.imul(D,V))+Math.imul(R,U)|0,i=Math.imul(R,V),n=n+Math.imul(I,H)|0,a=(a=a+Math.imul(I,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,a=(a=a+Math.imul(C,Z)|0)+Math.imul(L,W)|0,i=i+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,a=(a=a+Math.imul(T,tt)|0)+Math.imul(k,$)|0,i=i+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(v,it)|0,a=(a=a+Math.imul(v,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),a=(a=Math.imul(B,V))+Math.imul(N,U)|0,i=Math.imul(N,V),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,a=(a=a+Math.imul(I,Z)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,a=(a=a+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,i=i+Math.imul(k,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,a=(a=a+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,Z)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,a=(a=a+Math.imul(I,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,a=(a=a+Math.imul(C,tt)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(T,it)|0,a=(a=a+Math.imul(T,ot)|0)+Math.imul(k,it)|0,i=i+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,a=(a=a+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,Z))+Math.imul(N,W)|0,i=Math.imul(N,Z),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,a=(a=a+Math.imul(I,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,a=(a=a+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,a=(a=a+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,i=i+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(a=(a=a+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,a=(a=a+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(C,it)|0,a=(a=a+Math.imul(C,ot)|0)+Math.imul(L,it)|0,i=i+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,a=(a=a+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,i=i+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(I,it)|0,a=(a=a+Math.imul(I,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,a=(a=a+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,i=i+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(a=(a=a+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((i=i+Math.imul(k,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,a=(a=a+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,a=(a=a+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,a=(a=a+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(a=(a=a+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((i=i+Math.imul(L,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(a=(a=a+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=i._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function T(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}v.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},a(y,v),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=4194303&a,n=10;n<t.length;n++){var i=0|t.words[n];t.words[n-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,t.words[n-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},a(x,v),a(b,v),a(_,v),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,a=67108863&n;n>>>=26,t.words[r]=a,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function(t){if(m[t])return m[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return m[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new i(1)).iushrn(2);return this.pow(t,r)}for(var a=this.m.subn(1),o=0;!a.isZero()&&0===a.andln(1);)o++,a.iushrn(1);n(!a.isZero());var s=new i(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new i(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,a),f=this.pow(t,a.addn(1).iushrn(1)),p=this.pow(t,a),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(h,new i(1).iushln(d-m-1));f=f.redMul(v),h=v.redSqr(),p=p.redMul(h),d=m}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new i(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var a=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var 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r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:108}],100:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,a=t.length,i=0;for(e=0;e<a;++e)i+=t[e].length;var o=new Array(i),s=0;for(e=0;e<a;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],101:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return h(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):f(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,a=t(\"typedarray-pool\"),i=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function 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-       "/*!\n",
-       " * The buffer module from node.js, for the browser.\n",
-       " *\n",
-       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
-       " * @license  MIT\n",
-       " */\n",
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i=e(t,r.key);n.push(r),i<0&&(a=n.length),r=i<0?r.left:r.right}return n.length=a,new f(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],a=0;r;){var i=e(t,r.key);n.push(r),i>0&&(a=n.length),r=i<=0?r.left:r.right}return n.length=a,new f(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],a=0;r;){var i=e(t,r.key);n.push(r),i>=0&&(a=n.length),r=i<0?r.left:r.right}return n.length=a,new f(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var a=e(t,r.key);if(n.push(r),0===a)return new f(this,n);r=a<=0?r.left:r.right}return new f(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=f.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new f(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var h=e[e.length-2];h.left===r?h.left=null:h.right===r&&(h.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var f=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=a(n)).right=a(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=a(n)).left=a(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=i(0,n));r.right=i(0,n);continue}n=a(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=a(n)).left=a(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=a(n)).right=a(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=i(0,n));r.left=i(0,n);continue}var c;n=a(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),f.left===r?f.left=null:f.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),a=e[e.length-1];r[r.length-1]=new n(a._color,a.key,t,a.left,a.right,a._count);for(var i=e.length-2;i>=0;--i)(a=e[i]).left===e[i+1]?r[i]=new n(a._color,a.key,a.value,r[i+1],a.right,a._count):r[i]=new n(a._color,a.key,a.value,a.left,r[i+1],a._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],248:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],a=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function i(t){if(t<0)return Number(\"0/0\");for(var e=a[0],r=a.length-1;r>0;--r)e+=a[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(i(e));e-=1;for(var r=n[0],a=1;a<9;a++)r+=n[a]/(e+a);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=i},{}],249:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,a=e;try{var i=[t];0===t.indexOf(\"webgl\")&&i.push(\"experimental-\"+t);for(var o=0;o<i.length;o++)if(n=r.getContext(i[o],a))return n}catch(t){n=null}return n||null}},{}],250:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),a=t(\"./lib/lines.js\"),i=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=i(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":280,\"robust-orientation\":520,\"split-polygon\":538}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],255:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:500,\"gl-buffer\":258,\"gl-vao\":332,\"vectorize-text\":572}],256:[function(t,e,r){\"use 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f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":252,\"extract-frustum-planes\":240,\"gl-mat4/multiply\":280,\"gl-mat4/transpose\":289,\"gl-vec4/transformMat4\":403,\"split-polygon\":538}],258:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],259:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":260,\"./lib/shaders\":261,\"gl-vec3\":351}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469}],261:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FOR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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],266:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new 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c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":327}],267:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":263,\"glsl-shader-name\":405,\"sprintf-js\":539}],268:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=i.mallocUint8(4*w),k=i.mallocFloat32(2*w),M=i.mallocUint8(2*w),A=i.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),i.free(k),i.free(T),i.free(M),i.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":269,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"iota-array\":437,\"typedarray-pool\":567}],269:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:413}],270:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":312,glslify:413}],271:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var 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t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":499}],291:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:413}],292:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":290,\"./lib/shaders\":291,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,normals:472,\"simplicial-complex-contour\":528,\"typedarray-pool\":567}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312}],295:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],296:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:413}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"text-cache\":547}],298:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":293,\"./lib/grid\":294,\"./lib/line\":295,\"./lib/text\":297,\"gl-select-static\":311}],299:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460,\"right-now\":514}],300:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":312,glslify:413}],301:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":299,\"./lib/shader\":300,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":257,\"gl-fbo\":266,\"gl-mat4/ortho\":281,\"gl-mat4/perspective\":282,\"gl-select-static\":311,\"gl-spikes3d\":321,\"is-mobile\":441,\"mouse-change\":457}],302:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:413}],303:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":302,\"gl-buffer\":258,\"gl-shader\":312,\"typedarray-pool\":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],306:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":572}],307:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":312,glslify:413}],308:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":305,\"./lib/glyphs\":306,\"./lib/shaders\":307,\"gl-buffer\":258,\"gl-mat4/multiply\":280,\"gl-vao\":332,\"is-string-blank\":444,\"typedarray-pool\":567}],309:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:413}],310:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,i),o.drawBox(h-v,d-v,p+v,d+v,i),o.drawBox(h-v,f-v,h+v,d+v,i),o.drawBox(p-v,f-v,p+v,d+v,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":309,\"gl-buffer\":258,\"gl-shader\":312}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||c<=l)return null;var u=[o-a,c-l],h=i(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(a+n[0]*l)),f=function(t,e,r){for(var n=1e8,a=-1,i=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,a=l,i=c)}}return[a,i,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+a|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":97,\"gl-fbo\":266,ndarray:469,\"typedarray-pool\":567}],312:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:i(r),attributes:i(c)},f.attributes=a(p,f,x,_),Object.defineProperty(f,\"uniforms\",n(p,f,r,S))},e.exports=function(t,e,r,n,a){var i=new c(t);return 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o=t.getActiveAttrib(e,a);o&&n.push({name:o.name,type:i(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},a=null;function i(t,e){if(!a){var r=Object.keys(n);a={};for(var i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],318:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function 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n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:413}],323:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":322,\"gl-cone3d\":259,\"gl-vec3\":351,\"gl-vec4\":387}],324:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":312,glslify:413}],325:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.isTransparent=function(){return this.opacity<1||this.opacityscale},S.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var v=g[o];if((Array.isArray(v)||v.length)&&(v=h(v)),v.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(v.data,i);y.stride[o]=v.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),S=w.get(1,o,b,0),E=w.get(1,o,b,1),C=w.get(2,o,b,0),L=w.get(2,o,b,1),P=S*L-E*C,I=C*A-L*M,z=M*E-A*S,O=Math.sqrt(P*P+I*I+z*z);O<1e-8?(O=Math.max(Math.abs(P),Math.abs(I),Math.abs(z)))<1e-8?(z=1,I=P=0,O=1):O=1/O:O=1/Math.sqrt(O),k.set(o,b,0,P*O),k.set(o,b,1,I*O),k.set(o,b,2,z*O)}s.free(w.data);var D=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,j=-1/0,U=(i[0]-1)*(i[1]-1)*6,V=s.mallocFloat(n.nextPow2(10*U)),q=0,H=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var G=0;G<2;++G)for(var Y=0;Y<2;++Y)for(var W=0;W<3;++W){var Z=this._field[W].get(1+o+G,1+b+Y);if(isNaN(Z)||!isFinite(Z))continue t}for(W=0;W<6;++W){var X=o+T[W][0],J=b+T[W][1],K=this._field[0].get(X+1,J+1),Q=this._field[1].get(X+1,J+1);Z=this._field[2].get(X+1,J+1),P=k.get(X+1,J+1,0),I=k.get(X+1,J+1,1),z=k.get(X+1,J+1,2),t.intensity&&($=t.intensity.get(X,J));var $=t.intensity?t.intensity.get(X,J):Z+this.objectOffset[2];V[q++]=X,V[q++]=J,V[q++]=K,V[q++]=Q,V[q++]=Z,V[q++]=0,V[q++]=$,V[q++]=P,V[q++]=I,V[q++]=z,D[0]=Math.min(D[0],K+this.objectOffset[0]),D[1]=Math.min(D[1],Q+this.objectOffset[1]),D[2]=Math.min(D[2],Z+this.objectOffset[2]),N=Math.min(N,$),F[0]=Math.max(F[0],K+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),j=Math.max(j,$),H+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],j=+t.intensityBounds[1]),o=6;o<q;o+=10)V[o]=(V[o]-N)/(j-N);this._vertexCount=H,this._coordinateBuffer.update(V.subarray(0,q)),s.freeFloat(V),s.free(k.data),this.bounds=[D,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===j||(r=!0),this.intensityBounds=[N,j]}if(\"levels\"in t){var tt=t.levels;for(tt=Array.isArray(tt[0])?tt.slice():[[],[],tt],o=0;o<3;++o)tt[o]=tt[o].slice(),tt[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(b=0;b<tt[o].length;++b)tt[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(tt[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<tt[o].length;++b)if(tt[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=tt}if(r){_=this._field,i=this.shape;for(var et=[],rt=0;rt<3;++rt){var nt=this.contourLevels[rt],at=[],it=[],ot=[0,0,0];for(o=0;o<nt.length;++o){var st=f(this._field[rt],nt[o]);at.push(et.length/5|0),H=0;t:for(b=0;b<st.cells.length;++b){var lt=st.cells[b];for(W=0;W<2;++W){var ct=st.positions[lt[W]],ut=ct[0],ht=0|Math.floor(ut),ft=ut-ht,pt=ct[1],dt=0|Math.floor(pt),gt=pt-dt,mt=!1;e:for(var vt=0;vt<3;++vt){ot[vt]=0;var yt=(rt+vt+1)%3;for(G=0;G<2;++G){var xt=G?ft:1-ft;for(X=0|Math.min(Math.max(ht+G,0),i[0]),Y=0;Y<2;++Y){var bt=Y?gt:1-gt;if(J=0|Math.min(Math.max(dt+Y,0),i[1]),Z=vt<2?this._field[yt].get(X,J):(this.intensity.get(X,J)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var _t=xt*bt;ot[vt]+=_t*Z}}}if(mt){if(W>0){for(var wt=0;wt<5;++wt)et.pop();H-=1}continue t}et.push(ot[0],ot[1],ct[0],ct[1],ot[2]),H+=1}}it.push(H)}this._contourOffsets[rt]=at,this._contourCounts[rt]=it}var Tt=s.mallocFloat(et.length);for(o=0;o<et.length;++o)Tt[o]=et[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]}))]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":324,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,\"ndarray-gradient\":462,\"ndarray-ops\":464,\"ndarray-pack\":465,\"surface-nets\":542,\"typedarray-pool\":567}],326:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":328,\"is-plain-obj\":443,\"object-assign\":473,\"parse-rect\":478,\"parse-unit\":480,\"pick-by-alias\":485,regl:512,\"to-px\":550,\"typedarray-pool\":567}],327:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var x=n(f,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||i.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===f?d=t.FLOAT:\"float64\"===f?(d=t.FLOAT,v=!1,f=\"float32\"):\"uint8\"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?i.mallocFloat32(y):i.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?h(_,u):a.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?i.freeFloat32(b):i.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],328:[function(t,e,r){(function(r){\"use strict\";var n=t(\"pick-by-alias\");function 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n;try{n=s(r,i)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(i)}).call(this,t(\"buffer\").Buffer)},{\"./detector\":417,\"./types\":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){return r=r||0,t[\"readUInt\"+e+(n?\"BE\":\"LE\")].call(t,r)}},{}],420:[function(t,e,r){\"use strict\";var n={bmp:t(\"./types/bmp\"),cur:t(\"./types/cur\"),dds:t(\"./types/dds\"),gif:t(\"./types/gif\"),icns:t(\"./types/icns\"),ico:t(\"./types/ico\"),jpg:t(\"./types/jpg\"),png:t(\"./types/png\"),psd:t(\"./types/psd\"),svg:t(\"./types/svg\"),tiff:t(\"./types/tiff\"),webp:t(\"./types/webp\")};e.exports=n},{\"./types/bmp\":421,\"./types/cur\":422,\"./types/dds\":423,\"./types/gif\":424,\"./types/icns\":425,\"./types/ico\":426,\"./types/jpg\":427,\"./types/png\":428,\"./types/psd\":429,\"./types/svg\":430,\"./types/tiff\":431,\"./types/webp\":432}],421:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"BM\"===t.toString(\"ascii\",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t(\"./ico\").calculate}},{\"./ico\":426}],423:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){\"use strict\";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString(\"ascii\",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){\"use strict\";var n={ICON:32,\"ICN#\":32,\"icm#\":16,icm4:16,icm8:16,\"ics#\":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function a(t,e){var r=e+4;return[t.toString(\"ascii\",e,r),t.readUInt32BE(r)]}function i(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return\"icns\"===t.toString(\"ascii\",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=i((e=a(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=i((e=a(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){\"use strict\";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function a(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=a(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(a(t,e));return n}}},{}],427:[function(t,e,r){\"use strict\";var n=t(\"../readUInt\");function a(t){return\"45786966\"===t.toString(\"hex\",2,6)}function i(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),a=r.toString(\"hex\",6,8),i=\"4d4d\"===a;if(i||\"4949\"===a)return function(t,e){for(var r,a,i=n(t,16,14,e),o=0;o<i;o++){if(a=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,a);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,i)}function s(t,e){if(e>t.length)throw new TypeError(\"Corrupt JPG, exceeded buffer limits\");if(255!==t[e])throw new TypeError(\"Invalid JPG, marker table corrupted\")}e.exports={detect:function(t){return\"ffd8\"===t.toString(\"hex\",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),a(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=i(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError(\"Invalid JPG, no size found\")}}},{\"../readUInt\":419}],428:[function(t,e,r){\"use strict\";e.exports={detect:function(t){if(\"PNG\\r\\n\\x1a\\n\"===t.toString(\"ascii\",1,8)){var e=t.toString(\"ascii\",12,16);if(\"CgBI\"===e&&(e=t.toString(\"ascii\",28,32)),\"IHDR\"!==e)throw new TypeError(\"invalid png\");return!0}},calculate:function(t){return\"CgBI\"===t.toString(\"ascii\",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"8BPS\"===t.toString(\"ascii\",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){\"use strict\";var n=/<svg\\s([^>\"']|\"[^\"]*\"|'[^']*')*>/;var a={root:n,width:/\\swidth=(['\"])([^%]+?)\\1/,height:/\\sheight=(['\"])([^%]+?)\\1/,viewbox:/\\sviewBox=(['\"])(.+?)\\1/},i={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(i[e[2]]||1))}function s(t){var e=t.split(\" \");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString(\"utf8\").match(a.root);if(e){var r=function(t){var e=t.match(a.width),r=t.match(a.height),n=t.match(a.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError(\"invalid svg\")}}},{}],431:[function(t,e,r){(function(r){\"use strict\";var n=t(\"fs\"),a=t(\"../readUInt\");function i(t,e){var r=a(t,16,8,e);return(a(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString(\"hex\",0,4);return\"49492a00\"===e||\"4d4d002a\"===e},calculate:function(t,e){if(!e)throw new TypeError(\"Tiff doesn't support buffer\");var s=\"BE\"===function(t){var e=t.toString(\"ascii\",0,2);return\"II\"===e?\"LE\":\"MM\"===e?\"BE\":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=a(t,16,0,e),n=a(t,16,2,e),s=a(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=i(t,e)),t=o(t);return l}(function(t,e,i){var o=a(t,32,4,i),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,\"r\");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError(\"Invalid Tiff, missing tags\");return{width:c,height:u}}}}).call(this,t(\"buffer\").Buffer)},{\"../readUInt\":419,buffer:111,fs:109}],432:[function(t,e,r){\"use strict\";e.exports={detect:function(t){var e=\"RIFF\"===t.toString(\"ascii\",0,4),r=\"WEBP\"===t.toString(\"ascii\",8,12),n=\"VP8\"===t.toString(\"ascii\",12,15);return e&&r&&n},calculate:function(t){var e=t.toString(\"ascii\",12,16);if(t=t.slice(20,30),\"VP8X\"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if(\"VP8 \"===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString(\"hex\",3,6);return\"VP8L\"===e&&\"9d012a\"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var a=t[0].length;if(r<=a)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,a+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(a+1),u=0;u<=a;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new i(l,new Array(a+1),!1),f=h.adjacent,p=new Array(a+2);for(u=0;u<=a;++u){for(var d=l.slice(),g=0;g<=a;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new i(d,new Array(a+1),!0);f[u]=v,p[u]=v}p[a+1]=h;for(u=0;u<=a;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=a;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=a;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(a,o,p),w=!!e;for(u=a+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),a=t(\"simplicial-complex\").compareCells;function i(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];a[h]=f<0?e:i[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,i=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)i[u]=a[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=i[u];i[u]=t;var p=this.orient();if(i[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=a[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new i(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var a=this.dimension,i=this.tuple,o=0;o<=a;++o){var s=n.vertices[o];i[o]=s<0?t:r[s]}var l=this.orient(i);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,a=0;a<n;++a){var i=r[a];if(i.boundary){for(var o=new Array(t),s=i.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":520,\"simplicial-complex\":530}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function a(t,e,r,n,a){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=a,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var i=a.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var a=r(t[n]);if(a)return a}}function h(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var a=r(t[n]);if(a)return a}}function f(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],i=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?i.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new a(n,m(i),m(o),c,u)}function v(t){this.root=t}i.intervals=function(t){return 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this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,a=this.left;a.right;)r=a,a=a.right;if(r===this)a.right=this.right;else{var i=this.left,s=this.right;r.count-=a.count,r.right=a.left,a.left=i,a.right=s}o(this,a),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(i=n.ge(this.leftPoints,t,d);i<this.leftPoints.length&&this.leftPoints[i][0]===t[0];++i)if(this.leftPoints[i]===t){this.count-=1,this.leftPoints.splice(i,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},i.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return h(this.rightPoints,t,e)}return f(this.leftPoints,e)},i.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?h(this.rightPoints,t,r):f(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new a(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":435}],435:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],436:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],437:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],438:[function(t,e,r){e.exports=!0},{}],439:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
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-       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
-       " * @license  MIT\n",
-       " */\n",
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n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,a,i,o;for(void 0===e&&(e=1e-6),a=t,o=0;o<8;o++){if(i=this.sampleCurveX(a)-t,Math.abs(i)<e)return a;var s=this.sampleCurveDerivativeX(a);if(Math.abs(s)<1e-6)break;a-=i/s}if((a=t)<(r=0))return r;if(a>(n=1))return n;for(;r<n;){if(i=this.sampleCurveX(a),Math.abs(i-t)<e)return a;t>i?r=a:n=a,a=.5*(n-r)+r}return a},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=i;function i(t,e){this.x=t,this.y=e}function o(t,e,n,a){var i=new r(t,e,n,a);return function(t){return 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[2]*this.x+t[3]*this.y;return this.x=t[0]*this.x+t[1]*this.y,this.y=e,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=r*this.x+e*this.y;return this.x=e*this.x-r*this.y,this.y=n,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r=e.parse(t[1],1,Dt);if(!r)return null;var n=[],a=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(a=e.expectedType);for(var i=1;i<t.length;i+=2){var o=1===i?-1/0:t[i],s=t[i+1],l=i,c=i+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,a);if(!u)return null;a=a||u.type,n.push([o,u])}return new je(a,r,n)},je.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var a=e.length;return n>=e[a-1]?r[a-1].evaluate(t):r[Ne(e,n)].evaluate(t)},je.prototype.eachChild=function(t){t(this.input);for(var 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e=Xe(t.r),r=Xe(t.g),n=Xe(t.b),a=Ye((.4124564*e+.3575761*r+.1804375*n)/.95047),i=Ye((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*i-16,a:500*(a-i),b:200*(i-Ye((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function Ke(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*We(e),r=.95047*We(r),n=1.08883*We(n),new Kt(Ze(3.2404542*r-1.5371385*e-.4985314*n),Ze(-.969266*r+1.8760108*e+.041556*n),Ze(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function Qe(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var $e={forward:Je,reverse:Ke,interpolate:function(t,e,r){return{l:Ue(t.l,e.l,r),a:Ue(t.a,e.a,r),b:Ue(t.b,e.b,r),alpha:Ue(t.alpha,e.alpha,r)}}},tr={forward:function(t){var e=Je(t),r=e.l,n=e.a,a=e.b,i=Math.atan2(a,n)*Ge;return{h:i<0?i+360:i,c:Math.sqrt(n*n+a*a),l:r,alpha:t.a}},reverse:function(t){var e=t.h*He,r=t.c;return Ke({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:Qe(t.h,e.h,r),c:Ue(t.c,e.c,r),l:Ue(t.l,e.l,r),alpha:Ue(t.alpha,e.alpha,r)}}},er=Object.freeze({__proto__:null,lab:$e,hcl:tr}),rr=function(t,e,r,n,a){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var i=0,o=a;i<o.length;i+=1){var s=o[i],l=s[1];this.labels.push(s[0]),this.outputs.push(l)}};function nr(t,e,r,n){var a=n-r,i=t-r;return 0===a?0:1===e?i/a:(Math.pow(e,i)-1)/(Math.pow(e,a)-1)}rr.interpolationFactor=function(t,e,n,a){var i=0;if(\"exponential\"===t.name)i=nr(e,t.base,n,a);else if(\"linear\"===t.name)i=nr(e,1,n,a);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;i=new r(o[0],o[1],o[2],o[3]).solve(nr(e,1,n,a))}return i},rr.parse=function(t,e){var r=t[0],n=t[1],a=t[2],i=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(a=e.parse(a,2,Dt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Bt:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<i.length;u+=2){var h=i[u],f=i[u+1],p=u+3,d=u+4;if(\"number\"!=typeof h)return e.error('Input/output pairs for 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i=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[i],e[i+1]),s=r[i].evaluate(t),l=r[i+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ar=function(t,e){this.type=t,this.args=e};ar.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var a=[],i=0,o=t.slice(1);i<o.length;i+=1){var s=e.parse(o[i],1+a.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,a.push(s)}var l=n&&a.some((function(t){return Wt(n,t.type)}));return new ar(l?jt:r,a)},ar.prototype.evaluate=function(t){for(var e,r=null,n=0,a=0,i=this.args;a<i.length&&(n++,(r=i[a].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);a+=1);return r},ar.prototype.eachChild=function(t){this.args.forEach(t)},ar.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ar.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var 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t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Zt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Zt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var a=e.parse(t[3],3,Dt);return a?new lr(r,n,a):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,a,i){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=a,this.otherwise=i};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var a={},i=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,h=s;u<h.length;u+=1){var f=h[u];if(\"number\"!=typeof f&&\"string\"!=typeof f)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof f&&Math.abs(f)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof f&&Math.floor(f)!==f)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(f)))return null}else r=ae(f);if(void 0!==a[String(f)])return c.error(\"Branch labels must be unique.\");a[String(f)]=i.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,i.push(p)}var d=e.parse(t[1],1,jt);if(!d)return null;var g=e.parse(t[t.length-1],t.length-1,n);return g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new cr(r,n,d,a,i,g):null},cr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},a=0,i=Object.keys(this.cases).sort();a<i.length;a+=1){var o=i[a];void 0===(h=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[h][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],h=u[0],f=u[1];e.push(1===f.length?s(f[0]):f.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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hr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function fr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function a(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return a.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],i=e.parse(t[1],1,jt);if(!i)return null;if(!fr(r,i.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(i.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!fr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,a,i)},Gr.prototype.evaluate=function(t,e,r,n,a,i){return this._styleExpression.evaluate(t,e,r,n,a,i)},Gr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?rr.interpolationFactor(this.interpolationType,t,e,r):0};var Wr=function(t,e){this._parameters=t,this._specification=e,Ct(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||!(s||void 0!==e.property),c=e.type||(Ir(r)?\"exponential\":\"interval\");if(o&&((e=Ct({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],Kt.parse(t[1])]}))),e.default=Kt.parse(e.default?e.default:r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!er[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===c)n=Nr;else if(\"interval\"===c)n=Br;else if(\"categorical\"===c){n=Fr,a=Object.create(null);for(var u=0,h=e.stops;u<h.length;u+=1){var f=h[u];a[f[0]]=f[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?Rr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Zr(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=zr(r);if(\"object\"!==l)return[new St(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=bn;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new St(e,r[c],'unknown property \"'+c+'\"'));continue}f=bn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new St(e,r,'missing required property \"'+p+'\"'));return s}function Xr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||bn;if(\"array\"!==zr(e))return[new St(i,e,\"array expected, \"+zr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new St(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new St(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===zr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Jr(t){var e=t.key,r=t.value,n=t.valueSpec,a=zr(r);return\"number\"===a&&r!=r&&(a=\"NaN\"),\"number\"!==a?[new St(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new St(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new St(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Kr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===zr(t.value.stops)&&\"array\"===zr(t.value.stops[0])&&\"object\"===zr(t.value.stops[0][0]),u=Zr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new St(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Xr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===zr(r)&&0===r.length&&e.push(new St(t.key,r,\"array must have at least one stop\")),e},default:function(t){return bn({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new St(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new St(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!Ir(t.valueSpec)&&u.push(new St(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Lr(t.valueSpec)?u.push(new St(t.key,t.value,\"property functions not supported\")):s&&!Pr(t.valueSpec)&&u.push(new St(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new St(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==zr(i))return[new St(s,i,\"array expected, \"+zr(i)+\" found\")];if(2!==i.length)return[new St(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==zr(i[0]))return[new St(s,i,\"object expected, \"+zr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new St(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new St(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new St(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Zr({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return Vr(Pt(i[1]))?e.concat([new St(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return Lr(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(Pt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Re(r,[\"zoom\",\"feature-state\"]))return[new St(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Oe(r))return[new St(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function $r(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),a}function tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Wr.deserialize=function(t){return new Wr(t._parameters,t._specification)},Wr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(Pt(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var a,i=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:i.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(a=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));for(var s=2;s<r.length;s++)a=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:i.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==a&&\"number\"!==a&&\"boolean\"!==a&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+a+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));break;case\"within\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==a&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+a+\" found\"))}return o}(t)}function hn(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,i,'unknown property \"'+o+'\"')];if(\"string\"===zr(i)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new St(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new St(r,i,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(Pt(i))&&\"identity\"===Lt(i.type)&&h.push(new St(r,i,'\"text-font\" does not support identity functions'))),h.concat(bn({key:t.key,value:i,valueSpec:u,style:n,styleSpec:a,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function fn(t){return hn(t,\"paint\")}function pn(t){return hn(t,\"layout\")}function dn(t){var e=[],r=t.value,n=t.key,a=t.style,i=t.styleSpec;r.type||r.ref||e.push(new St(n,r,'either \"type\" or \"ref\" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=a.layers[u];Lt(h.id)===c&&e.push(new St(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new St(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),a.layers.forEach((function(t){Lt(t.id)===l&&(o=t)})),o?o.ref?e.push(new St(n,r.ref,\"ref cannot reference another ref layer\")):s=Lt(o.type):e.push(new St(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=a.sources&&a.sources[r.source],p=f&&Lt(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Zr({key:n,value:r,valueSpec:i.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:i.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return fn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var a in r)n.push.apply(n,gn({key:e+\".\"+a,value:r[a]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,a=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var i,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Zr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(i=Zr({key:r,value:e,valueSpec:n.source_geojson,style:a,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;i.push.apply(i,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),i.push.apply(i,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return i;case\"video\":return Zr({key:r,value:e,valueSpec:n.source_video,style:a,styleSpec:n});case\"image\":return Zr({key:r,value:e,valueSpec:n.source_image,style:a,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},aa.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ia=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ia.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ia.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oa=function(t){this.property=t,this.value=new ia(t,void 0)};oa.prototype.transitioned=function(t,e){return new la(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oa.prototype.untransitioned=function(){return new la(this.property,this.value,null,{},0)};var sa=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};sa.prototype.getValue=function(t){return x(this._values[t].value.value)},sa.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].value=new ia(this._values[t].property,null===e?void 0:x(e))},sa.prototype.getTransition=function(t){return x(this._values[t].transition)},sa.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].transition=x(e)||void 0},sa.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a);var i=this.getTransition(n);void 0!==i&&(t[n+\"-transition\"]=i)}return t},sa.prototype.transitioned=function(t,e){for(var r=new ca(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].transitioned(t,e._values[i])}return r},sa.prototype.untransitioned=function(){for(var t=new ca(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var la=function(t,e,r,n,a){this.property=t,this.value=e,this.begin=a+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};la.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,a=this.value.possiblyEvaluate(t,e,r),i=this.prior;if(i){if(n>this.end)return this.prior=null,a;if(this.value.isDataDriven())return this.prior=null,a;if(n<this.begin)return i.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(i.possiblyEvaluate(t,e,r),a,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return a};var ca=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ca.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ca.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ua=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ua.prototype.getValue=function(t){return x(this._values[t].value)},ua.prototype.setValue=function(t,e){this._values[t]=new ia(this._values[t].property,null===e?void 0:x(e))},ua.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a)}return t},ua.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var ha=function(t,e,r){this.property=t,this.value=e,this.parameters=r};ha.prototype.isConstant=function(){return\"constant\"===this.value.kind},ha.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},ha.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var fa=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};fa.prototype.get=function(t){return this._values[t]};var pa=function(t){this.specification=t};pa.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pa.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var da=function(t,e){this.specification=t,this.overrides=e};da.prototype.possiblyEvaluate=function(t,e,r,n){return new ha(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},da.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new ha(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new ha(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},da.prototype.evaluate=function(t,e,r,n,a,i){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,a,i)};var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new ha(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n),i=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof a?a.name:a,o=this._calculate(i,i,i,e);return new ha(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new ha(this,{kind:\"constant\",value:s},e)}return new ha(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,a,i){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,a,i);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(da),ma=function(t){this.specification=t};ma.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n);return this._calculate(a,a,a,e)}return this._calculate(t.expression.evaluate(new aa(Math.floor(e.zoom-1),e)),t.expression.evaluate(new aa(Math.floor(e.zoom),e)),t.expression.evaluate(new aa(Math.floor(e.zoom+1),e)),e)}},ma.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},ma.prototype.interpolate=function(t){return t};var va=function(t){this.specification=t};va.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},va.prototype.interpolate=function(){return!1};var ya=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new ia(r,void 0),a=this.defaultTransitionablePropertyValues[e]=new oa(r);this.defaultTransitioningPropertyValues[e]=a.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",da),Dn(\"DataConstantProperty\",pa),Dn(\"CrossFadedDataDrivenProperty\",ga),Dn(\"CrossFadedProperty\",ma),Dn(\"ColorRampProperty\",va);var xa=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ua(r.layout)),r.paint)){for(var n in this._transitionablePaint=new sa(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var a in e.layout)this.setLayoutProperty(a,e.layout[a],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new fa(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],i=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||i||a||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof ha&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),ba={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_a=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wa=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var a=ba[t.type].BYTES_PER_ELEMENT,i=r=ka(r,Math.max(e,a)),o=t.components||1;return n=Math.max(n,a),r+=a*o,{name:t.name,type:t.type,components:o,offset:i}})),size:ka(r,Math.max(n,e)),alignment:e}}function ka(t,e){return Math.ceil(t/e)*e}wa.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wa.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wa.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wa.prototype.clear=function(){this.length=0},wa.prototype.resize=function(t){this.reserve(t),this.length=t},wa.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wa.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(wa);Ma.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Ma);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,this.int16[i+3]=a,t},e}(wa);Aa.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Aa);var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(wa);Sa.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=a,this.uint8[l+6]=i,this.uint8[l+7]=o,t},e}(wa);Ea.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ea);var Ca=function(t){function e(){t.apply(this,arguments)}return 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Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,a,i,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=a,this.uint16[p+4]=i,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(wa);La.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",La);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return 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this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=a,this.uint32[x+2]=i,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wa);Ba.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ba);var Na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=a,this.int16[C+4]=i,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wa);Na.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Na);var ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wa);ja.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ja);var Ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(wa);Ua.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ua);var Va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=4*t;return this.uint32[2*t+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(wa);Va.prototype.bytesPerElement=8,Dn(\"StructArrayLayout1ul2ui8\",Va);var qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(wa);qa.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2ui4\",qa);var Ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint16[1*t+0]=e,t},e}(wa);Ha.prototype.bytesPerElement=2,Dn(\"StructArrayLayout1ui2\",Ha);var Ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(wa);Ga.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2f8\",Ga);var Ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(wa);Ya.prototype.bytesPerElement=16,Dn(\"StructArrayLayout4f16\",Ya);var Wa=function(t){function 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this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(_a);Wa.prototype.size=20;var Za=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Wa(this,t)},e}(za);Dn(\"CollisionBoxArray\",Za);var Xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var 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this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(_a);Xa.prototype.size=48;var Ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Xa(this,t)},e}(Ba);Dn(\"PlacedSymbolArray\",Ja);var Ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(_a);Ka.prototype.size=68;var Qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Ka(this,t)},e}(Na);Dn(\"SymbolInstanceArray\",Qa);var $a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getoffsetX=function(t){return 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e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var fi=Math.pow(2,53)-1;function pi(t){var e=+t;return!isNaN(e)&&e<=fi?e:ci(String(t))}function di(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Dn(\"FeaturePositionMap\",hi);var gi=function(t,e){this.gl=t.gl,this.location=e},mi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(gi),vi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(gi),yi=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return 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Mi=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};Mi.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Mi.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new _i(t,e):new vi(t,e)};var Ai=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ai.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ai.prototype.setUniform=function(t,e,r,n){var a=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;a&&t.set(a)},Ai.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new bi(t,e):new vi(t,e)};var Si=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};Si.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.paintVertexArray.length,o=this.expression.evaluate(new aa(0),e,{},n,[],a);this.paintVertexArray.resize(t),this._setPaintValue(i,t,o)},Si.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,a)},Si.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=ki(r),a=t;a<e;a++)this.paintVertexArray.emplace(a,n[0],n[1]);else{for(var i=t;i<e;i++)this.paintVertexArray.emplace(i,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Si.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Si.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ei=function(t,e,r,n,a,i){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=a,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new i};Ei.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.expression.evaluate(new aa(this.zoom),e,{},n,[],a),o=this.expression.evaluate(new aa(this.zoom+1),e,{},n,[],a),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,i,o)},Ei.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:this.zoom},r,n),i=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,a,i)},Ei.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var a=ki(r),i=ki(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,a[0],a[1],i[0],i[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ei.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ei.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ei.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ei.prototype.getBinding=function(t,e,r){return new vi(t,e)};var Ci=function(t,e,r,n,a,i){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=i,this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};Ci.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Ci.prototype.updatePaintArray=function(t,e,r,n,a){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],a)},Ci.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var a=n[r.min],i=n[r.mid],o=n[r.max];if(a&&i&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],a.tl[0],a.tl[1],a.br[0],a.br[1],i.pixelRatio,a.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],i.pixelRatio,o.pixelRatio)}},Ci.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oi.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oi.members,this.expression.isStateDependent))},Ci.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Li=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof ha&&Lr(o.property.specification)){var s=Ii(i,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification[\"property-type\"],f=\"cross-faded\"===h||\"cross-faded-data-driven\"===h;if(\"constant\"===l.kind)this.binders[i]=f?new Ai(l.value,s):new Mi(l.value,s,c),a.push(\"/u_\"+i);else if(\"source\"===l.kind||f){var p=zi(i,c,\"source\");this.binders[i]=f?new Ci(l,c,u,e,p,t.id):new Si(l,s,c,p),a.push(\"/a_\"+i)}else{var d=zi(i,c,\"composite\");this.binders[i]=new Ei(l,s,c,u,e,d),a.push(\"/z_\"+i)}}}this.cacheKey=a.sort().join(\"\")};Li.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Si||e instanceof Ei?e.maxValue:0},Li.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders){var o=this.binders[i];(o instanceof Si||o instanceof Ei||o instanceof Ci)&&o.populatePaintArray(t,e,r,n,a)}},Li.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ai&&n.setConstantPatternPositions(t,e)}},Li.prototype.updatePaintArrays=function(t,e,r,n,a){var i=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof Si||f instanceof Ei||f instanceof Ci)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],a),i=!0}}}return i},Li.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Mi||r instanceof Ai)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},Li.prototype.getPaintVertexBuffers=function(){return this._buffers},Li.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var a=this.binders[n];if(a instanceof Mi||a instanceof Ai||a instanceof Ei)for(var i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},Li.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},Li.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ci){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Si||r instanceof Ei)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},Li.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Si||r instanceof Ei||r instanceof Ci)&&r.upload(t)}this.updatePaintBuffers()},Li.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Si||e instanceof Ei||e instanceof Ci)&&e.destroy()}};var Pi=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=new Li(o,r,n,t)}this.needsUpload=!1,this._featureMap=new hi,this._bufferOffset=0};function Ii(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function zi(t,e,r){var n={color:{source:Ga,composite:Ya},number:{source:ja,composite:Ga}},a=function(t){return{\"line-pattern\":{source:Ca,composite:Ca},\"fill-pattern\":{source:Ca,composite:Ca},\"fill-extrusion-pattern\":{source:Ca,composite:Ca}}[t]}(t);return a&&a[r]||n[e][r]}Pi.prototype.populatePaintArrays=function(t,e,r,n,a,i){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,a,i);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Pi.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Pi.prototype.get=function(t){return this.programConfigurations[t]},Pi.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Pi.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Mi),Dn(\"CrossFadedConstantBinder\",Ai),Dn(\"SourceExpressionBinder\",Si),Dn(\"CrossFadedCompositeBinder\",Ci),Dn(\"CompositeExpressionBinder\",Ei),Dn(\"ProgramConfiguration\",Li,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Pi);var Oi={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Di(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var a=r[n],i=0;i<a.length;i++){var o=a[i];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oi.min||o.x>Oi.max||o.y<Oi.min||o.y>Oi.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oi.min,Oi.max),o.y=l(o.y,Oi.min,Oi.max))}return r}function Ri(t,e,r,n,a){t.emplaceBack(2*e+(n+1)/2,2*r+(a+1)/2)}var Fi=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ma,this.indexArray=new Fa,this.segments=new ai,this.programConfigurations=new Pi(ni,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Bi(t,e){for(var r=0;r<t.length;r++)if(Wi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wi(t,e[n]))return!0;return!!Vi(t,e)}function Ni(t,e,r){return!!Wi(t,e)||!!Hi(e,t,r)}function ji(t,e){if(1===t.length)return Yi(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(Wi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(Yi(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(Vi(t,e[o]))return!0;return!1}function Ui(t,e,r){if(t.length>1){if(Vi(t,e))return!0;for(var n=0;n<e.length;n++)if(Hi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(Hi(t[a],e,r))return!0;return!1}function Vi(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(qi(n,a,e[i],e[i+1]))return!0;return!1}function qi(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Hi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(Gi(t,e[a-1],e[a])<n)return!0;return!1}function Gi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(a<0?e:a>1?r:r.sub(e)._mult(a)._add(e))}function Yi(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(a=r[l]).y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function Wi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function Zi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=w(t,e,r[0]);return i!==w(t,e,r[1])||i!==w(t,e,r[2])||i!==w(t,e,r[3])}function Xi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ji(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ki(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fi.prototype.populate=function(t,e,r){var n=this.layers[0],a=[],i=null;\"circle\"===n.type&&(i=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,f=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Di(c):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),d,r)){p||(d.geometry=Di(c));var g=i?i.evaluate(d,{},r):void 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0===this.layoutVertexArray.length},Fi.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fi.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ni),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fi.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fi.prototype.addFeature=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1)for(var o=0,s=i[a];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var 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i=co({},{width:n,height:a},r);ho(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function ho(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}Dn(\"HeatmapBucket\",lo,{omit:[\"layers\"]});var fo=function(t,e){co(this,t,1,e)};fo.prototype.resize=function(t){uo(this,t,1)},fo.prototype.clone=function(){return new fo({width:this.width,height:this.height},new Uint8Array(this.data))},fo.copy=function(t,e,r,n,a){ho(t,e,r,n,a,1)};var 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po({width:256,height:1},r)}var vo=function(t){function e(e){t.call(this,e,go),this._updateColorRamp()}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new lo(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"heatmap-color\"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){this.colorRamp=mo(this._transitionablePaint._values[\"heatmap-color\"].value.expression,\"heatmapDensity\"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get(\"heatmap-opacity\")&&\"none\"!==this.visibility},e}(xa),yo={paint:new ya({\"hillshade-illumination-direction\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=us(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var hs=fs;function fs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new hs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,a*vs*2,i*vs*2,Math.round(s))}var xs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Sa,this.indexArray=new Fa,this.programConfigurations=new Pi(os,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.feature,s=i.id,l=i.index,c=i.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Di(o):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Di(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(f.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.features;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,a){for(var i=0,o=Qo(e,500);i<o.length;i+=1){for(var s=o[i],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((I=d).every((function(t){return t.x<0}))||I.every((function(t){return t.x>8192}))||I.every((function(t){return t.y<0}))||I.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){h.vertexLength+4>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=h.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=h.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=_o(w,T),P=0;P<L.length;P+=3)this.indexArray.emplaceBack(k+L[P],k+L[P+2],k+L[P+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var I;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Dn(\"FillExtrusionBucket\",xs,{omit:[\"layers\",\"features\"]});var _s={paint:new ya({\"fill-extrusion-opacity\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ga(At[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},ws=function(t){function e(e){t.call(this,e,_s)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new xs(t)},e.prototype.queryRadius=function(){return Ji(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Ki(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];io(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=[],y=[],x=0,b=m[g];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],M=n[1]*w+n[5]*T+n[13],A=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=A+c,C=S+u,L=k+h,P=M+f,I=A+p,z=S+d,O=new a((k+s)/C,(M+l)/C);O.z=E/C,v.push(O);var D=new a(L/z,P/z);D.z=I/z,y.push(D)}i.push(v),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ji(r,e)&&(n=ks(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=[l,i[s+1],o[s+1],o[s],l];Bi(r,c)&&(n=Math.min(n,ks(r,c)))}return n!==1/0&&n}(p[0],p[1],f)},e}(xa);function Ts(t,e){return t.x*e.x+t.y*e.y}function ks(t,e){if(1===t.length){for(var r,n=0,a=e[n++];!r||a.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var i=e[n],o=t[0],s=r.sub(a),l=i.sub(a),c=o.sub(a),u=Ts(s,s),h=Ts(s,l),f=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*f-h*h,m=(f*p-h*d)/g,v=(u*d-h*p)/g,y=a.z*(1-m-v)+r.z*m+i.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ea,this.indexArray=new Fa,this.programConfigurations=new Pi(Ms,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Cs.prototype.populate=function(t,e,r){this.hasPattern=ts(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),a=[],i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Di(l):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),p,r)){f||(p.geometry=Di(l));var d=n?n.evaluate(p,{},r):void 0;a.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&a.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=a;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},Cs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Cs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.patternFeatures;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},Cs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Cs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Cs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ms),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Cs.prototype.addFeature=function(t,e,r,n,a){for(var i=this.layers[0].layout,o=i.get(\"line-join\").evaluate(t,{}),s=i.get(\"line-cap\"),l=i.get(\"line-miter-limit\"),c=i.get(\"line-round-limit\"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Cs.prototype.addLine=function(t,e,r,n,a,i){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(a=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(m=t[c].sub(u=t[l-2])._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Ss&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*h){var A=u.sub(u.sub(p)._mult(h/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,g,0,0,f),p=A}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<i?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>a&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<a&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,f);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var C=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,y,0,0,f),this.addCurrentVertex(u,y.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(_*_-1),P=k?L:0,I=k?0:L;if(p&&this.addCurrentVertex(u,g,P,I,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,m,-P,-I,f)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,f),this.addCurrentVertex(u,g,1,1,f,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,f,!0),this.addCurrentVertex(u,m,0,0,f)));if(T&&v<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,f),u=j}}}}},Cs.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,i,!1,r,a),this.addHalfVertex(t,o,s,i,!0,-n,a),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Cs.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),a?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new ya({\"line-cap\":new pa(At.layout_line[\"line-cap\"]),\"line-join\":new da(At.layout_line[\"line-join\"]),\"line-miter-limit\":new pa(At.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new pa(At.layout_line[\"line-round-limit\"]),\"line-sort-key\":new da(At.layout_line[\"line-sort-key\"])}),Ps={paint:new ya({\"line-opacity\":new da(At.paint_line[\"line-opacity\"]),\"line-color\":new da(At.paint_line[\"line-color\"]),\"line-translate\":new pa(At.paint_line[\"line-translate\"]),\"line-translate-anchor\":new pa(At.paint_line[\"line-translate-anchor\"]),\"line-width\":new da(At.paint_line[\"line-width\"]),\"line-gap-width\":new da(At.paint_line[\"line-gap-width\"]),\"line-offset\":new da(At.paint_line[\"line-offset\"]),\"line-blur\":new da(At.paint_line[\"line-blur\"]),\"line-dasharray\":new ma(At.paint_line[\"line-dasharray\"]),\"line-pattern\":new ga(At.paint_line[\"line-pattern\"]),\"line-gradient\":new va(At.paint_line[\"line-gradient\"])}),layout:Ls},Is=new(function(t){function 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Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,r.buf[r.pos]=127&(t>>>=7)}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Xs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Xs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,al,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var fl=function(t,e){var r=e.pixelRatio,n=e.version,a=e.stretchX,i=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=a,this.stretchY=i,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(fl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=hl(a),o=new po({width:i.w||1,height:i.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],f=n[u].paddedRect,p=f.x+1,d=f.y+1,g=h.data.width,m=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:p,y:d},h.data),po.copy(h.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(h.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(h.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(h.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new fl(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",fl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=vl.fromFeature(t,a);h===gl.vertical&&v.verticalizePunctuation();var y=na.processBidirectionalText,x=na.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,i,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,i,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(v,Ml(v,c,i,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=a;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,P=null,I=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/h,L=w+(24-F[1]*S.scale),O=(P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)I=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;P=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=P.advance*S.scale+c)}0!==k.length&&(d=Math.max(f-c,d),Sl(k,0,k.length-1,m,M)),f=0;var q=i*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=i,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,a,i,o,s,l){var c,u=(e-r)*a;c=i!==o?-s*n- -17:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,Z,d,g,i,G,a.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,h,c,f,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var a=t.sections[n];a.image?r.addImageSection(a):r.addTextSection(a,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||a&&Gn(a)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,a,i){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/i+a:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+a:0}function wl(t,e,r,n){var a=Math.pow(t-e,2);return n?t<e?a/2:2*a:a+Math.abs(r)*r}function Tl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function kl(t,e,r,n,a,i){for(var o=null,s=wl(e,r,a,i),l=0,c=n;l<c.length;l+=1){var u=c[l],h=wl(e-u.x,r,a,i)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,a,i,o){if(\"point\"!==i)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,a,i){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,a,e,i)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,a,o),u=t.text.indexOf(\"\\u200b\")>=0,h=0,f=0;f<t.length();f++){var p=t.getSection(f),d=t.getCharCode(f);if(xl[d]||(h+=_l(d,p,n,a,e,o)),f<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,f,p,d=e.left*i,g=e.right*i;\"width\"===r||\"both\"===r?(p=a[0]+d-n[3],h=a[0]+g+n[1]):h=(p=a[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*i,v=e.bottom*i;return\"height\"===r||\"both\"===r?(u=a[1]+m-n[0],f=a[1]+v+n[2]):f=(u=a[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:f,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,a){t.call(this,e,r),this.angle=n,void 0!==a&&(this.segment=a)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);function Ll(t,e){var 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Fa,this.programConfigurations=t,this.segments=new ai,this.dynamicLayoutVertexArray=new Pa,this.opacityVertexArray=new Ia,this.placedSymbolArray=new Ja};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ic,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ai,this.collisionVertexArray=new Ra};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey)&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $a,this.lineVertexArray=new ti,this.symbolInstances=new Qa},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=Us[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],a=n.layout,i=a.get(\"text-font\"),o=a.get(\"text-field\"),s=a.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=a.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new aa(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Di(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Di(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ea()||this.hasRTLText&&na.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Di(y),properties:y.properties,type:ac[y.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var P=i.evaluate(T,{},r).join(\",\"),I=\"map\"===a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||P,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,i.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=i.text&&i.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,P,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,i,i.index,{},h,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var a=t;a<e;a++){var i=this.collisionBoxArray.get(a);this.addCollisionDebugVertices(i.x1,i.y1,i.x2,i.y2,n?this.textCollisionBox:this.iconCollisionBox,i.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oa,Bs.members,qa),this.iconCollisionBox=new uc(Oa,Bs.members,qa);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<a;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=i;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,a=r.vertexStartIndex;a<n;a+=4)t.indexArray.emplaceBack(a,a+1,a+2),t.indexArray.emplaceBack(a+1,a+2,a+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort((function(t,e){return n[t]-n[e]||a[e]-a[t]})),i},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=this.symbolInstances.get(n[r]);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var fc=new ya({\"symbol-placement\":new pa(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pa(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pa(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new da(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pa(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pa(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pa(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pa(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pa(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new da(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pa(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pa(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new da(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new da(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pa(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pa(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new da(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new da(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pa(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pa(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pa(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new da(At.layout_symbol[\"text-field\"]),\"text-font\":new da(At.layout_symbol[\"text-font\"]),\"text-size\":new da(At.layout_symbol[\"text-size\"]),\"text-max-width\":new da(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pa(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new da(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new da(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new da(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pa(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new da(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pa(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pa(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new da(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pa(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pa(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new da(At.layout_symbol[\"text-transform\"]),\"text-offset\":new da(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pa(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pa(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pa(At.layout_symbol[\"text-optional\"])}),pc={paint:new ya({\"icon-opacity\":new da(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new da(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new da(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new da(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new da(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pa(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pa(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new da(At.paint_symbol[\"text-opacity\"]),\"text-color\":new da(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new da(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new da(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new da(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pa(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pa(At.paint_symbol[\"text-translate-anchor\"])}),layout:fc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var a=[],i=0,o=n;i<o.length;i+=1){var s=o[i];a.indexOf(s)<0&&a.push(s)}this.layout._values[\"text-writing-mode\"]=a}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var a=this.layout.get(t).evaluate(e,{},r,n),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Vr(i.value)||!a?a:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,a)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new dc(i),s=new Ur(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new ha(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=pc.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(a=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){a||(t instanceof oe&&ae(t.value)===Vt?i(t.value.sections):t instanceof ue?i(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e}(xa),mc={paint:new ya({\"background-color\":new pa(At.paint_background[\"background-color\"]),\"background-pattern\":new ma(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pa(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),yc={paint:new ya({\"raster-opacity\":new pa(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pa(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pa(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pa(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pa(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pa(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pa(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pa(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(xa),_c={circle:oo,heatmap:vo,hillshade:xo,fill:is,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ec.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,a){var i=this;void 0===a&&(a=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:a,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete i.callbacks[o],i.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:i.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(e.data)))}else{var a=!1,i=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){a=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,i)},i)}:function(t){a=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!a&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Ic)e=t,r=t;else{if(!(t instanceof Pc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Pc.convert(t)):this.extend(Ic.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Ic(e.lng,e.lat),this._ne=new Ic(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Ic((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Ic(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Ic(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Ic.convert(t),r=e.lng,n=e.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Ic.prototype.wrap=function(){return new Ic(c(this.lng,-180,180),this.lat)},Ic.prototype.toArray=function(){return[this.lng,this.lat]},Ic.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ic.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,a=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(a,1))},Ic.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Ic(this.lng-r,this.lat-e),new Ic(this.lng+r,this.lat+e))},Ic.convert=function(t){if(t instanceof Ic)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ic(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ic(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ic.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Ic(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,a,i,o,s=(n=this.y,a=this.z,i=Lc(256*(r=this.x),256*(n=Math.pow(2,a)-n-1),a),o=Lc(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+a),this.key=qc(e,t,r,n,a)};function qc(t,e,r,n,a){(t*=2)<0&&(t=-1*t-1);var i=1<<r;return(i*i*t+i*a+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var a=0;a<n;a++)this.data[this._idx(-1,a)]=this.data[this._idx(0,a)],this.data[this._idx(n,a)]=this.data[this._idx(n-1,a)],this.data[this._idx(a,-1)]=this.data[this._idx(a,0)],this.data[this._idx(a,n)]=this.data[this._idx(a,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,a){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=a},Wc={geometry:{configurable:!0}};Wc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Wc.geometry.set=function(t){this._geometry=t},Yc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yc.prototype,Wc);var Zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Zc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var a=this.deletedStates[t][e];if(null===a)return{};for(var i in a)delete n[i]}return n},Zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),u(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,f=Object.keys(this.deletedStates[o][c]);h<f.length;h+=1)delete this.state[o][c][f[h]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Xc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ri,this.promoteId=e};function Jc(t,e,r,n,a){return v(t,(function(t,i){var o=e instanceof fa?e.get(i):null;return o&&o.evaluate?o.evaluate(r,n,a):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Qc(t,e){return e-t}Xc.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Xc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Xc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Wi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Zi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<g.length;d+=1)f.push(g[d]);f.sort(Qc);for(var m,v={},y=function(a){var u=f[a];if(u!==m){m=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Di(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<f.length;x++)y(x);return v},Xc.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,h)){var f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(a.filter(new aa(this.tileID.overscaledZ),p))for(var d=this.getId(p,f),g=0;g<h.length;g++){var m=h[g];if(!(i&&i.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Xc.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i,o,s){var l={};this.loadVTLayers();for(var c=rn(a),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,r,n,h[u],c,i,o,s,e);return l},Xc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},Xc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Xc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=f(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1)r[s[o].id]=t}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var i in this.buckets){var o=this.buckets[i];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,na.isLoading()||na.isLoaded()||\"deferred\"!==ea()||ra();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Za},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:a,scale:i,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),a=e?e.sourceLayer:\"\",i=n._geojsonTileLayer||n[a];if(i)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<i.length;f++){var p=i.feature(f);if(o.filter(new aa(this.tileID.overscaledZ),p)){var d=r.getId(p,a),g=new Yc(p,l,c,u,d);g.tile=h,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];if(o&&s&&0!==Object.keys(s).length){a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(a)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1)r[a[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var a=this.dependencies[n[r]];if(a)for(var i=0,o=e;i<o.length;i+=1)if(a[o[i]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=jc,t.CollisionBoxArray=Za,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pa,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=aa,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Xc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=fl,t.LineBucket=Cs,t.LngLat=Ic,t.LngLatBounds=Pc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=a,t.Point$1=a,t.Properties=ya,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ft,t.SegmentVector=ai,t.SourceFeatureState=Zc,t.StructArrayLayout1ui2=Ha,t.StructArrayLayout2f1f2i16=Da,t.StructArrayLayout2i4=Ma,t.StructArrayLayout3ui6=Fa,t.StructArrayLayout4i8=Aa,t.SymbolBucket=hc,t.Texture=Sc,t.Tile=$c,t.Transitionable=sa,t.Uniform1f=vi,t.Uniform1i=mi,t.Uniform2f=yi,t.Uniform3f=xi,t.Uniform4f=bi,t.UniformColor=_i,t.UniformMatrix4f=Ti,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,a=new Array(t.length),i=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(i=t),a[o]=e,0==--n&&r(i,a)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",it),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return 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r}function ht(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ft(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(pt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function pt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function dt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function gt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=rt(t,1,-1-r,r,0,-1,2,e),i=rt(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=ut(a,1).concat(n)),i&&(n=n.concat(ut(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new g(n.features),i=b(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[a+1]=new D(s,G,Y,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(V(r),q(i),V(a),q(n));u<h.length;u+=1){var f=l.points[h[u]];c.push(f.numPoints?j(f):this.points[f.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=a.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.radius/i.extent,s=(r-o)/a,l=(r+1+o)/a,c={features:[]};return this._addTileFeatures(n.range((e-o)/a,s,(e+1+o)/a,l),n.points,e,r,a,c),0===e&&this._addTileFeatures(n.range(1-o/a,s,1,l),n.points,a,r,a,c),e===a-1&&this._addTileFeatures(n.range(0,s,o/a,l),n.points,-1,r,a,c),c.features.length?c:null},F.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},F.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},F.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:c?U(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),i.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.reduce,i=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,i),u=s.numPoints||1,h=s.x*u,f=s.y*u,p=a&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;h+=v.x*y,f+=v.y*y,u+=y,v.parentId=d,a&&(p||(p=this._map(s,!0)),a(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(h/u,f/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=yt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,f.minX,f.maxX,l),b=rt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,f.minY,f.maxY,l),m=rt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,f.minY,f.maxY,l),y=rt(b,u,n+w,n+k,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ft(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[yt(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ft(this.tiles[s],a):null):null};var bt=function(e){function r(t,r,n,a){e.call(this,t,r,n,xt),a&&(this.loadGeoJSON=a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){var n,a=e&&e.type;if(\"FeatureCollection\"===a)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===a)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===a)t(e.geometry,r);else if(\"Polygon\"===a)h(e.coordinates,r);else if(\"MultiPolygon\"===a)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=t.createExpression(f[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=d.value,i[h]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded;return n&&n[t.uid]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var a=this.workerSources[t][n];for(var i in a)a[i].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var a=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=a){this.self.importScripts(a);var i=t.plugin.isParsed();n(i?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+a),i)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];if(i[0]<r||i[1]<i[0]||e<i[1])return!1;r=i[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1)this.images[a[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var a={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new t.ImagePosition(a,n);this.patterns[e]={bin:a,position:i}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),a=n.w,i=n.h,o=this.atlasImage;for(var s in o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/this.radius+this.cutoff))));return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1)a.push({stack:i,id:s[o]});t.asyncAll(a,(function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(i.ranges[s])e(null,{stack:r,id:a,glyph:o});else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);i.ranges[s]=!0}for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})}))}}else e(null,{stack:r,id:a,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],a=t.length%2==1?-t[t.length-1]*r:0,i=t[0]*r,o=!0;n.push({left:a,right:i,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:a=s*r,right:i=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,a=-r;a<=r;a++)for(var i=this.width*(this.nextRow+r+a),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),f=void 0,p=a/r*(n+1);if(s.isDash){var d=n-Math.abs(p);f=Math.sqrt(h*h+d*d)}else f=n-Math.sqrt(h*h+p*p);this.data[i+l]=Math.max(0,Math.min(255,f+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var a=t[0],i=t[t.length-1];a.isDash===i.isDash&&(a.left=i.left-this.width,i.right=a.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?f:-f)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];if(0!==i){var s=this.width/i,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=new e.Actor(a[i],n,this.id);o.name=\"Worker \"+i,this.actors.push(o)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame((function(){return a(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),(function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function a(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=t.window.ImageBitmap&&i instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?i:t.browser.getImageData(i,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,a.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),L=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,(function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(a,{type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId},(function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=Math.max(a-r,i-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+a)/2*h),Math.floor((n+i)/2*h))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),z=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(a[n],t.ResourceType.Source).url);t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),O=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var a in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var i=this.tiles[a];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:I,canvas:O};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,a,i){var o=function(t,e,r){if(t)for(var n=0,a=t;n<a.length;n+=1){var i=e[a[n]];if(i&&i.source===r&&\"fill-extrusion\"===i.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(a&&a.layers,e,t.id),s=i.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,a,i,s,R(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.queryResults,s=i.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,a=t.wrapped().key;void 0===this.data[a]&&(this.data[a]=[]);var i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((function(){n.remove(t,i)}),r)),this.data[a].push(i),this.order.push(a),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),a=this.data[r][n];return this.data[r].splice(n,1),a.timeout&&clearTimeout(a.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(a.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,a=this.data[r];n<a.length;n+=1){var i=a[n];t(i.value)||e.push(i)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var a=t.gl;this.buffer=a.createBuffer(),t.bindVertexBuffer.set(this.buffer),a.bufferData(a.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?a.DYNAMIC_DRAW:a.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var a=this.attributes[n],i=e.attributes[a.name];void 0!==i&&t.vertexAttribPointer(i,a.components,t[U[a.type]],!1,this.itemSize,a.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ct.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))})),this.on(\"error\",(function(){i._sourceErrored=!0})),this._source=function(e,r,n,a){var i=new D[r.type](e,r,n,a);if(i.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+i.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],i),i}(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(a,e)&&n.push(this._tiles[a]);return e?n.sort((function(e,n){var a=e.tileID,i=n.tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var a=t.scaledTo(n),i=this._getLoadedTile(a);if(i)return i}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(a)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var a=this._tiles[n];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+e),r[a.tileID.key]=a}for(var i in this._tiles=r,this._timers)clearTimeout(this._timers[i]),delete this._timers[i];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter((function(t){return n._source.hasTile(t)})))):a=[];var i=e.coveringZoomLevel(this._source),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(It(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,i,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var a=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(a))break;n=a}for(var i=0,o=e;i<o.length;i+=1)this._loadedParentTiles[o[i]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];h=Math.min(h,v.x),f=Math.min(f,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Ya.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Yt(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}var Xt=function(t,e){this.reset(t,e)};Xt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Xt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],a=e*this.paddedLength+this.padding;n<a&&r<this._distances.length;)n=this._distances[++r];var i=r-1,o=this._distances[i],s=n-o,l=s>0?(a-o)/s:0;return this.points[i].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Qt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,h)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,i).point,M={},A=ie(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ie(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,f)}else ce(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function ne(t,e,r,n,a,i,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(h-1),m=se(t*d,r,n,a,i,o,s.segment,f,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,a,i,o,s.segment,f,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ie(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(a&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,h,f,e.segment,b,_,c,o,p));g.push(w.last)}else{if(a&&!n){var S=$t(f,i).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,i),P=L.signedDistanceFromCamera>0?L.point:oe(f,C,S,1,i),I=ae(e.writingMode,S,P,d);if(I)return I}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,a){var i=$t(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function se(e,r,n,a,i,o,s,l,c,u,h,f){var p=a?e-r:e+r,d=p>0?1:-1,g=0;a&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=i,y=i,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,h);if(k.signedDistanceFromCamera>0)v=f[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,h)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Jt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Jt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Jt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Jt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:a,seenUids:{box:{},circle:{}}},i),a?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(i,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},a),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Jt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];i.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var m=this.circleCells[a];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++)if(a.call(this,t,e,r,n,this.xCellCount*p+f,i,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function fe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?i/v:i*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,a,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*f*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Xt,E=b.first,C=b.last,L=[],P=E.path.length-1;P>=1;P--)L.push(E.path[P]);for(var I=1;I<C.path.length;I++)L.push(C.path[I]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,Z=Y-k,X=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,Z,X,J),w=w||this.isInsideGrid(W,Z,X,J),!e&&this.grid.hitTestCircle(G,Y,k,h)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},he.prototype.insertCollisionBox=function(t,e,r,n,a){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:a},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return ue(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,a){this.text=new pe(t?t.text:null,e,r,a),this.icon=new pe(t?t.icon:null,e,n,a)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}function be(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}ye.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}_e.prototype.getBucketParts=function(e,r,n,a){var i=n.getBucket(r),o=n.latestFeatureIndex;if(i&&o&&r.id===i.layerIds[0]){var s=n.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=fe(n,1,this.transform.zoom),g=Kt(h,f,p,this.transform,d),m=null;if(f){var v=Qt(h,f,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[i.bucketInstanceId]=new ve(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,n.tileID);var y={bucket:i,layout:l,posMatrix:h,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(i.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(i.sourceID)};if(a)for(var x=0,b=i.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:i.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=[h.textOffset0,h.textOffset1],v=xe(t,r,n,m,a),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(g=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:a,prevAnchor:g},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var a=this,i=e.parameters,o=i.bucket,s=i.layout,l=i.posMatrix,c=i.textLabelPlaneMatrix,u=i.labelToScreenMatrix,h=i.textPixelRatio,f=i.holdingForFade,p=i.collisionBoxArray,d=i.partiallyEvaluatedTextSize,g=i.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,i){if(!r[e.crossTileID])if(f)a.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},P=null,I=null,z=0,O=0,D=0;i.textFeatureIndex?z=i.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),i.verticalTextFeatureIndex&&(O=i.verticalTextFeatureIndex);var R=i.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&a.prevPlacement){var i=a.prevPlacement.placedOrientations[e.crossTileID];i&&(a.placedOrientations[e.crossTileID]=i,a.markUsedOrientation(o,n=i,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&i.verticalTextBox)for(var a=0,s=o.writingModes;a<s.length&&(s[a]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));a+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(a.prevPlacement&&a.prevPlacement.variableOffsets[e.crossTileID]){var j=a.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=a.attemptAnchorPlacement(N[d%N.length],t,i,s,c,b,_,h,l,g,d>=N.length,e,o,n,u);if(m&&(f=m.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=m.shift;break}}return f};B((function(){return U(R,i.iconBox,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,i.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&a.prevPlacement){var q=a.prevPlacement.variableOffsets[e.crossTileID];q&&(a.variableOffsets[e.crossTileID]=q,a.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=a.collisionIndex.placeCollisionBox(t,y,h,l,g.predicate);return n&&n.box&&n.box.length&&(a.markUsedOrientation(o,r,e),a.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");P=a.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(i.iconFeatureIndex&&(D=i.iconFeatureIndex),i.iconBox){var Z=function(t){var e=w&&E?be(t,E.x,E.y,b,_,a.transform.angle):t;return a.collisionIndex.placeCollisionBox(e,x,h,l,g.predicate)};A=L&&L.box&&L.box.length&&i.verticalIconBox?(I=Z(i.verticalIconBox)).box.length>0:(I=Z(i.iconBox)).box.length>0,S=S&&I.offscreen}var X=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(X||J?J?X||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&a.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&I&&a.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&a.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=a.collisionCircleArrays[K];void 0===Q&&(Q=a.collisionCircleArrays[K]=new me);for(var $=0;$<P.circles.length;$+=4)Q.circles.push(P.circles[$+0]),Q.circles.push(P.circles[$+1]),Q.circles.push(P.circles[$+2]),Q.circles.push(P.collisionDetected?1:0)}a.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,a){var i;i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=i>=0&&l!==i?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=a;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new de(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var a=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var i=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=i.get(\"text-allow-overlap\"),l=i.get(\"icon-allow-overlap\"),c=i.get(\"text-variable-anchor\"),u=\"map\"===i.get(\"text-rotation-alignment\"),h=\"map\"===i.get(\"text-pitch-alignment\"),f=\"none\"!==i.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||i.get(\"icon-optional\")),l&&(s||!e.hasTextData()||i.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var i=e.symbolInstances.get(n),s=i.numHorizontalGlyphVertices,l=i.numVerticalGlyphVertices,g=i.crossTileID,m=a.opacities[g];r[g]?m=o:m||(a.opacities[g]=m=p),r[g]=!0;var v=i.numIconVertices>0,y=a.placedOrientations[i.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Pe:_),d(e.text,l,b?Pe:_);var w=m.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=a.variableOffsets[i.crossTileID];T&&a.markUsedJustification(e,T.anchor,i,y);var k=a.placedOrientations[i.crossTileID];k&&(a.markUsedJustification(e,\"left\",i,k),a.markUsedOrientation(e,k,i))}if(v){var M=Le(m.icon),A=!(f&&i.verticalPlacedIconSymbolIndex&&x);i.placedIconSymbolIndex>=0&&(d(e.icon,i.numIconVertices,A?M:Pe),e.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=m.icon.isHidden()),i.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,i.numVerticalIconVertices,A?Pe:M),e.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=a.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(h?a.transform.angle:-a.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var P=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,P,f?E.x:0,f?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!P,f?E.x:0,f?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Pe=0,Ie=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Ie.prototype.continuePlacement=function(t,e,r,n,a){for(var i=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(i,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,a())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,i.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<i.length;)if(e.placeLayerBucketPart(i[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,a())return!0;return!1};var ze=function(t,e,r,n,a,i,o){this.placement=new _e(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ie(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1)delete this.usedCrossTileIDs[t][a[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Be.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var a,i=t.styleSpec.$root[n];i.required&&null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}return e}(),qe=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var a=jt(this.stylesheet.layers);this._order=a.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var i=0,o=a;i<o.length;i+=1){var s=o[i];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,a=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,i=e,u())}));function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var a in n)r.imageManager.addImage(a,n[a]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=this._layers[n[r]];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||qt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&Gt(e,r,i)?n.push({command:Ut.setGeoJSONSourceData,args:[i,r[i].data]}):Ht(i,r,n,a)):Vt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach((function(t){a[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Wt),f=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),g=h.slice(),m=Object.create(null);for(a=0,i=0;a<h.length;a++)d.hasOwnProperty(o=h[a])?i++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)g[g.length-1-a]!==(o=f[f.length-1-a])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-a]]}),g.splice(g.length-a,0,o),m[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var a=n.filter((function(t){return!(t.command in je)}));if(a.length>0)throw new Error(\"Unimplemented: \"+a.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,(function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}})),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}}),this._serializedLayers[i.id]=i.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n];if(void 0!==i){var o=i.getSource().type;\"geojson\"===o&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||a?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.setFeatureState(a,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0;\"vector\"!==i||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r];if(void 0!==a){if(\"vector\"!==a.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)a.push(h[u])}}}a.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var f=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=a.length-1;g>=0;g--){var m=a[g].feature;if(n[m.layer.id]<p)break;f.push(m),a.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)f.push(_[b].feature)}}return f},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];a[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i,o){for(var s={},l=i.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(B);for(var f=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,a.filter,a.layers,a.availableImages,t);for(var i in n){var o=s[i]=s[i]||[],c=n[i];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-a}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},p=0,d=c;p<d.length;p+=1)f();var g=function(e){s[e].forEach((function(n){var a=n.feature,i=r[t[e].source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=i}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a,i){void 0===i&&(i=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if(\"symbol\"===h.type){if(!l[h.source]){var f=this.sourceCaches[h.source];l[h.source]=f.getRenderableIds(!0).map((function(t){return f.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,i,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ye=vr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),We=vr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=vr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Xe=vr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=vr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Ke=vr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Qe=vr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),$e=vr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),tr=vr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),er=vr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),rr=vr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),nr=vr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ir=vr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),or=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),sr=vr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),lr=vr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),cr=vr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ur=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=vr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),fr=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),pr=vr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),dr=vr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=vr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),mr=vr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function vr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Ze,clippingMask:Xe,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ar,fillExtrusion:ir,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:hr,lineSDF:fr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===a&&this.boundVertexOffset===i&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind()):this.freshBind(e,r,n,a,i,o,s)},xr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r?r.defines():[];a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r?r.layoutAttributes:[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),i.deleteShader(u),i.deleteShader(c),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var m=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=i.getActiveUniform(this.program,v);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/fe(r,1,e.transform.tileZoom),a=Math.pow(2,r.tileID.overscaledZ),i=r.tileSize*Math.pow(2,e.transform.tileZoom)/a,o=i*(r.tileID.canonical.x+r.tileID.wrap*a),s=i*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}br.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},Tr=function(e,r,n,a,i,o,s){return t.extend(wr(e,r,n,a),_r(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,a){return t.extend(kr(e),_r(n,r,a))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,a,i){return t.extend(Mr(e,r,n,a),{u_world:i})},Er=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=fe(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=fe(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},Lr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Pr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Ir=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:fe(e,1,r),u_intensity:n}},Or=function(e,r,n){var a=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/fe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,a){var i=e.transform,o=Br(r,i);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/fe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n,a,i){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(a.from,l),u=o.getDash(a.to,l),h=c.width*i.fromScale,f=u.width*i.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/f,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,f)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:i.t})};function Br(t,e){return 1/fe(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Ur(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Ur(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Vr,qr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(qr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Gr=function(e,r,n,a,i,o,s,l,c,u){return t.extend(Hr(e,r,n,a,i,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from.toString()),i=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/fe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Zr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Xr(e,r,n,a,i,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<a.length;d++){var g=a[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===i[0]&&0===i[1]||(y=e.translatePosMatrix(g.posMatrix,m,i,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),h.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=f+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var M=0,A=0,S=h;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,P=E.circleArray[L+0],I=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,P,I,z,O,0),k.emplace(M++,P,I,z,O,1),k.emplace(M++,P,I,z,O,2),k.emplace(M++,P,I,z,O,3)}(!Vr||Vr.length<2*f)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var a=0;a<r;a++){var i=6*a;n.uint16[i+0]=4*a+0,n.uint16[i+1]=4*a+1,n.uint16[i+2]=4*a+2,n.uint16[i+3]=4*a+2,n.uint16[i+4]=4*a+3,n.uint16[i+5]=4*a+0}return n}(f));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Qr(e,r,n,a,i,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<f.length;m++){var v=f.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:a[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=i.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);h&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(h){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var P=0;P<C.numGlyphs;P++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,a,i,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=a;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=i?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),P=i||E.sdfIcons,I=i?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(P,i,E),L),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(i)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===I.kind||\"camera\"===I.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=fe(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,i,H,G,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),X=y||i&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=P&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:P?E.iconsInText?Gr(I.kind,D,x,v,e,Z,X,J,R,F):Hr(I.kind,D,x,v,e,Z,X,J,i,R,!0):qr(I.kind,D,x,v,e,Z,X,J,i,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var at=nt[rt],it=at.state;if(p.activeTexture.set(d.TEXTURE0),it.atlasTexture.bind(it.atlasInterpolation,d.CLAMP_TO_EDGE),it.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),it.atlasTextureIcon&&it.atlasTextureIcon.bind(it.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),it.isSDF){var ot=it.uniformValues;it.hasHalo&&(ot.u_is_halo=1,en(it.buffers,at.segments,n,e,it.program,_,h,f,ot)),ot.u_is_halo=0}en(it.buffers,at.segments,n,e,it.program,_,h,f,it.uniformValues)}}function en(t,e,r,n,a,i,o,s,l){var c=n.context;a.draw(c,c.gl.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,h=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,f,g,h,m):wr(k,t,M,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,a,i,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,r,n){var a=n.paint.get(\"hillshade-shadow-color\"),i=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:a,u_highlight:i,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,a,i,o,Et.disabled,h,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,a,i,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var h=u.dim,f=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,function(e,r,n){var a=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[a,a],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),hn=new t.Color(1,0,1,1),fn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,a,i,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var a=e.context,i=a.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();a.activeTexture.set(i.TEXTURE0),e.emptyTexture.bind(i.LINEAR,i.CLAMP_TO_EDGE),s.draw(a,i.LINE_STRIP,l,c,u,Et.disabled,Pr(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,f=Math.floor((h&&h.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,a=t.debugOverlayCanvas.getContext(\"2d\");a.clearRect(0,0,r.width,r.height),a.shadowColor=\"white\",a.shadowBlur=2,a.lineWidth=1.5,a.strokeStyle=\"white\",a.textBaseline=\"top\",a.font=\"bold 36px Open Sans, sans-serif\",a.fillText(e,5,5),a.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+f+\"kb\"),s.draw(a,i.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Pr(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,a,i){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,a,i,o,s){for(var l=r.transform,c=\"map\"===i,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=a.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=fe(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(a,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),i),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,a,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&tn(e,r,n,a,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Xr(e,r,n,a,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Xr(e,r,n,a,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==i.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var m=a[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,h,f,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var a=t.gl;a.texImage2D(a.TEXTURE_2D,0,a.RGBA,e.width/4,e.height/4,0,a.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:a.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var c=0;c<a.length;c++){var u=a[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(i,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,h,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(f){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],P=C.patternPositions[E.from.toString()];L&&P&&k.setConstantPatternPositions(L,P)}var I=h?Rr(e,w,n,p):c?Fr(e,w,n,c,p):f?Dr(e,w,n):Or(e,w,n);h?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,i,At.disabled,St.disabled),nn(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,h=l[1];u<h.length;u+=1){var f=h[u],p=e.getTile(f);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,i,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[f.overscaledZ],s)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,g=h;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),b?(b.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(a,i.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(a,i.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,a,t,c,{tileID:x,tileSize:l},m):Yr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,a=this.style._order;n<a.length;n+=1)this.style._layers[a[n]].resize()},yn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,He.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,He.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Ir(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Ir(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),a=n[n.length-1].overscaledZ,i=n[0].overscaledZ-a+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();for(var o={},s=0;s<i;s++)o[s+a]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=i,[o,n]}return[(e={},e[a]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var a=this.style._order,i=this.style.sourceCaches;for(var o in i){var s=i[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in i){var d=i[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<a.length;g++)if(this.style._layers[a[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=a;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=h[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,i[y.source],y,x)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=a.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[a[this.currentLayer]],_=i[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<a.length;this.currentLayer++){var T=this.style._layers[a[this.currentLayer]],k=i[T.source],M=(\"symbol\"===T.type?f:h)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,hn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,fn)}(this),this.context.setDefault()},yn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],a=this.context.extTimerQuery,i=a.getQueryObjectEXT(n.query,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(n.query),e[r]=i}return e},yn.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:fe(r,n[0],this.transform.zoom),i?n[1]:fe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},yn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new br(this.context,yr[t],e,Zr[t],this._showOverdrawInspector)),this.cache[r]},yn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},yn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var a=Math.pow(2,n),i=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*a)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],i[e[0]],i[e[1]]),n=t.sub([],i[e[2]],i[e[1]]),a=t.normalize([],t.cross([],r,n)),o=-t.dot(a,i[e[1]]);return a.concat(o)}));return new xn(i,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),a=t.clone$2(this.max),i=0;i<r.length;i++)n[i]=r[i]?this.min[i]:this.center[i],a[i]=r[i]?this.center[i]:this.max[i];return a[2]=this.max[2],new bn(n,a)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,a=0;a<e.planes.length;a++){for(var i=e.planes[a],o=0,s=0;s<r.length;s++)o+=t.dot$1(i,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};_n.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),a=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,a)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,a,i){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===i||i,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==a?60:a,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wn.prototype.clone=function(){var t=new wn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Tn.zoom.get=function(){return this._zoom},Tn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=[i*a.x,i*a.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*i,0,0],[(t+1)*i,i,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===f||w>3+(1<<f-g.zoom)-2&&g.zoom>=l)h.push({tileID:new t.OverscaledTileID(g.zoom===f?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[1]/a,s=n[1]/i,l=r[2]/a,c=n[2]/i,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/a,n[0]/i,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},wn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},wn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},wn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<i&&(a=i+m),g+m>o&&(a=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),a=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),i=this.point,o=i.x,s=i.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,f=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*h+d*f,m=s-Math.round(s)+p*f+d*h,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,a,i;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,a=null,i=function(){a=null,n&&(r(),a=setTimeout(i,300),n=!1)},function(){return n=!0,a||i(),a})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,a=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,a),o=Math.round(r.lng*i)/i,s=Math.round(r.lat*i)/i,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},kn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function Pn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function In(e,r,n){var a=n.maxSpeed,i=n.linearity,o=n.deceleration,s=t.clamp(e*i/(r/1e3),-a,a),l=Math.abs(s)/(o*i);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,a=this._inertiaBuffer;n<a.length;n+=1){var i=a[n].settings;r.zoom+=i.zoomDelta||0,r.bearing+=i.bearingDelta||0,r.pitch+=i.pitchDelta||0,i.panDelta&&r.pan._add(i.panDelta),i.around&&(r.around=i.around),i.pinchAround&&(r.pinchAround=i.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=In(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Pn(s,l)}if(r.zoom){var c=In(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,Pn(s,c)}if(r.bearing){var u=In(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Pn(s,u)}if(r.pitch){var h=In(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+h.amount,Pn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),On=function(e){function n(n,a,i){var o=\"touchend\"===n?i.changedTouches:i.touches,s=r.touchPos(a.getCanvasContainer(),o),l=s.map((function(t){return a.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=a.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),Dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var a=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var i=Math.min(a.x,n.x),o=Math.max(a.x,n.x),s=Math.min(a.y,n.y),l=Math.max(a.y,n.y);r.setTransform(this._box,\"translate(\"+i+\"px,\"+s+\"px)\"),this._box.style.width=o-i+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var a=this;if(this._active&&0===e.button){var i=this._startPos,o=n;if(this.reset(),r.suppressClick(),i.x!==o.x||i.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(i,o,a._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,a=e;n<a.length;n+=1)r._add(a[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var a in this.touches){var i=n[a];(!i||i.dist(this.touches[a])>30)&&(this.aborted=!0)}}},jn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var a=t.timeStamp-this.lastTime<500,i=!this.lastTap||this.lastTap.dist(n)<30;if(a&&i||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.prototype.touchend=function(t,e,r){var n=this,a=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r);return a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(a)},{originalEvent:t})}}):i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(i)},{originalEvent:t})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var a=Nn(n,r),i=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in a){var c=a[l],u=this._touches[l];u&&(i._add(c),o._add(c.sub(u)),s++,a[l]=c)}if(this._touches=a,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:i.div(s),panDelta:h}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(){this.reset()};function Xn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Zn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Zn.prototype._start=function(t){},Zn.prototype._move=function(t,e,r){return{}},Zn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Zn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,a=n[1],i=Xn(r,e,n[0]),o=Xn(r,e,a);if(i&&o){var s=this._aroundCenter?null:i.add(o).div(2);return this._move([i,o],s,t)}}},Zn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var a=this._firstTwoTouches,i=a[1],o=Xn(n,e,a[0]),s=Xn(n,e,i);o&&s||(this._active&&r.suppressClick(),this.reset())}},Zn.prototype.touchcancel=function(){this.reset()},Zn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Zn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Qn(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=Qn(t,this._startVector);return Math.abs(r)<e},e}(Zn);function ta(t){return Math.abs(t.y)>Math.abs(t.x)}var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ta(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),a=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,a,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+a.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,a=e.mag()>=2;if(n||a){if(!n||!a)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var i=t.y>0==e.y>0;return ta(t)&&ta(e)&&i}},e}(Zn),ra={panStep:100,bearingStep:15,pitchStep:10},na=function(){var t=ra;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function aa(t){return t*(2-t)}na.prototype.reset=function(){this._active=!1},na.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,a=0,i=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?a=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?a=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:aa,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+a*e._pitchStep,offset:[-i*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},na.prototype.enable=function(){this._enabled=!0},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};var ia=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ia.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ia.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ia.prototype.isEnabled=function(){return!!this._enabled},ia.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ia.prototype.isZooming=function(){return!!this._zooming},ia.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ia.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ia.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},ia.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ia.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},ia.prototype.renderFrame=function(){return this._onScrollFrame()},ia.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ia.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},ia.prototype.reset=function(){this._active=!1};var oa=function(t,e){this._clickZoom=t,this._tapZoom=e};oa.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oa.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oa.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oa.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var sa=function(){this.reset()};sa.prototype.reset=function(){this._active=!1},sa.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},sa.prototype.enable=function(){this._enabled=!0},sa.prototype.disable=function(){this._enabled=!1,this.reset()},sa.prototype.isEnabled=function(){return this._enabled},sa.prototype.isActive=function(){return this._active};var la=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};la.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},la.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},la.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],a=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:a/128}}}else this._tap.touchmove(t,e,r)},la.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},la.prototype.touchcancel=function(){this.reset()},la.prototype.enable=function(){this._enabled=!0},la.prototype.disable=function(){this._enabled=!1,this.reset()},la.prototype.isEnabled=function(){return this._enabled},la.prototype.isActive=function(){return this._active};var ca=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ca.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ca.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ca.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ca.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ua=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ua.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ua.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ua.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ua.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var ha=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};ha.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},ha.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},ha.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},ha.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var fa=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function da(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ga=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var a=this._el;this._listeners=[[a,\"touchstart\",{passive:!1}],[a,\"touchmove\",{passive:!1}],[a,\"touchend\",void 0],[a,\"touchcancel\",void 0],[a,\"mousedown\",void 0],[a,\"mousemove\",void 0],[a,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[a,\"mouseover\",void 0],[a,\"mouseout\",void 0],[a,\"dblclick\",void 0],[a,\"click\",void 0],[a,\"keydown\",{capture:!1}],[a,\"keyup\",void 0],[a,\"wheel\",{passive:!1}],[a,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var i=0,o=this._listeners;i<o.length;i+=1){var s=o[i],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};ga.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var a=n[e],i=a[0];r.removeEventListener(i,a[1],i===t.window.document?this.handleWindowEvent:this.handleEvent,a[2])}},ga.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var a=new Vn,i=new sa;e.doubleClickZoom=new oa(i,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",i);var o=new la;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ea;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ua(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),h=new Wn(t);e.dragPan=new ca(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new $n,p=new Kn;e.touchZoomRotate=new ha(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ia(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new na;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},ga.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ga.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ga.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ga.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ga.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ga.prototype.isMoving=function(){return Boolean(fa(this._eventsInProgress))||this.isZooming()},ga.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ga.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ga.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r];this._el.contains(a.target)&&e.push(a)}return e},ga.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,a={needsRenderFrame:!1},i={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(a,i,g,f,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[f]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||da(a))&&(this._changes.push([a,i,m]),this._triggerRenderFrame()),(Object.keys(o).length||da(a))&&this._map._stop(!0),this._updatingCamera=!1;var y=a.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},ga.prototype.mergeHandlerResult=function(e,r,n,a,i){if(n){t.extend(e,n);var o={handlerName:a,originalEvent:n.originalEvent||i};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ga.prototype._applyChanges=function(){for(var e={},r={},n={},a=0,i=this._changes;a<i.length;a+=1){var o=i[a],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},ga.prototype._updateMapTransform=function(t,e,r){var n=this._map,a=n.transform;if(!da(t))return this._fireEvents(e,r);var i=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=a.pointLocation(i?c.sub(i):c);s&&(a.bearing+=s),l&&(a.pitch+=l),o&&(a.zoom+=o),a.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ga.prototype._fireEvents=function(e,r){var n=this,a=fa(this._eventsInProgress),i=fa(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!a&&i&&this._fireEvent(\"movestart\",i.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),i&&this._fireEvent(\"move\",i.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,h={};for(var f in this._eventsInProgress){var p=this._eventsInProgress[f],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[f],h[f+\"end\"]=u=r[d]||g)}for(var m in h)this._fireEvent(m,h[m]);var v=fa(this._eventsInProgress);if((a||i)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ga.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ga.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pa(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var ma=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){var i={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(a=t.extend({padding:i,offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var o=a.padding;a.padding={top:o,bottom:o,right:o,left:o}}a.padding=t.extend(i,a.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),g=p.sub(d),m=(s.width-(l.left+l.right+a.padding.left+a.padding.right))/g.x,v=(s.height-(l.top+l.bottom+a.padding.top+a.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),a.maxZoom),x=t.Point.convert(a.offset),b=new t.Point(x.x+(a.padding.left-a.padding.right)/2,x.y+(a.padding.top-a.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:i,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:a.padding,p=t.Point.convert(e.offset),d=a.centerPoint.add(p),g=a.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=a.project(g),b=a.project(m).sub(x),_=a.zoomScale(c-i);e.around&&(v=t.LngLat.convert(e.around),y=a.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==i,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!a.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(a.zoom=t.number(i,c,e)),n._rotating&&(a.bearing=t.number(o,u,e)),n._pitching&&(a.pitch=t.number(s,h,e)),n._padding&&(a.interpolatePadding(l,f,e),d=a.centerPoint.add(p)),v)a.setLocationAtPoint(v,y);else{var g=a.zoomScale(a.zoom-i),m=c>i?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=a.unproject(x.add(b.mult(e*w)).mult(g));a.setLocationAtPoint(a.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,a=this._rotating,i=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),a&&this.fire(new t.Event(\"rotateend\",e)),i&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:i.padding,d=i.zoomScale(u-o),g=t.Point.convert(e.offset),m=i.centerPoint.add(g),v=i.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=i.project(v),b=i.project(y).sub(x),_=e.curve,w=Math.max(i.width,i.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),i.minZoom,i.maxZoom),A=w/i.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return L(P)/L(P+_*t)},z=function(t){return w*((L(P)*(C(e=P+_*t)/L(e))-C(P))/S)/k;var e},O=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},I=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!i.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var a=e*O,d=1/I(a);i.zoom=1===e?u:o+i.scaleZoom(d),n._rotating&&(i.bearing=t.number(s,h,e)),n._pitching&&(i.pitch=t.number(l,f,e)),n._padding&&(i.interpolatePadding(c,p,e),m=i.centerPoint.add(g));var v=1===e?y:i.unproject(x.add(b.mult(z(a))).mult(d));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),va=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};va.prototype.getDefaultPosition=function(){return\"bottom-right\"},va.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},va.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},va.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},va.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},va.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},va.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ya=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ya.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},ya.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ya.prototype.getDefaultPosition=function(){return\"bottom-left\"},ya.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ya.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ya.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var xa=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xa.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xa.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},xa.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var a=n[r];if(!a.cancelled&&(a.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xa.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var ba={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},_a=t.window.HTMLImageElement,wa=t.window.HTMLElement,Ta=t.window.ImageBitmap,ka={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ma=function(n){function a(e){var r=this;if(null!=(e=t.extend({},ka,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var a=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,a,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new xa,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},ba,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof wa))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ga(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new va({customAttribution:e.customAttribution})),this.addControl(new ya,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(a.__proto__=n),(a.prototype=Object.create(n&&n.prototype)).constructor=a;var i={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a);var i=!this._moving;return i&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),i&&this.fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},a.prototype.getMinPitch=function(){return this.transform.minPitch},a.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},a.prototype.getMaxPitch=function(){return this.transform.maxPitch},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},a.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},a.prototype._createDelegatedListener=function(t,e,r){var n,a=this;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new zn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new zn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new zn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}},a.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(i,a.delegates[i]);return this},a.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in a.delegates)this.once(i,a.delegates[i]);return this},a.prototype.off=function(t,e,r){var a=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var i=n[t],o=0;o<i.length;o++){var s=i[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)a.off(l,s.delegates[l]);return i.splice(o,1),a}}}(this._delegatedListeners),this)},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,(function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;void 0===i&&(i=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _a||Ta&&r instanceof Ta){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var a=r instanceof _a||Ta&&r instanceof Ta?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;return void 0===i||void 0===o?this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\"))):i!==n.data.width||o!==n.data.height?this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\"))):(n.data.replace(s,!(r instanceof _a||Ta&&r instanceof Ta)),void this.style.updateImage(e,n))},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)}))},a.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(e){var r,n=this,a=0,i=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=i.createQueryEXT(),i.beginQueryEXT(i.TIME_ELAPSED_EXT,r),a=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-a;i.endQueryEXT(i.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=i.getQueryObjectEXT(r,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showPadding.get=function(){return!!this._showPadding},i.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(ma);function Aa(t){t.parentNode&&t.parentNode.removeChild(t)}var Sa={showCompass:!0,showZoom:!0,visualizePitch:!1},Ea=function(e){var n=this;this.options=t.extend({},Sa,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ea.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ea.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Ea.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ca(this._map,this._compass,this.options.visualizePitch)),this._container},Ea.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ea.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ea.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ca=function(e,n,a){void 0===a&&(a=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,a&&(this.mousePitch=new Yn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function La(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ca.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ca.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var a=this.mousePitch.mousemoveWindow(t,e);a&&a.pitchDelta&&r.setPitch(r.getPitch()+a.pitchDelta)}},Ca.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ca.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ca.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ca.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ca.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ca.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ca.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Pa={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ia(t,e,r){var n=t.classList;for(var a in Pa)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var za,Oa=function(e){function n(n,a){var i=this;if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,h=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<h.length;u+=1){var f=h[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",f.rx),p.setAttributeNS(null,\"ry\",f.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=i._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ia(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Pa[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Da={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ra=0,Fa=!1,Ba=function(e){function n(r){e.call(this),this.options=t.extend({},Da,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==za?n(za):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(za=\"denied\"!==t.state)})):n(za=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ra=0,Fa=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),a=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=a+\"px\",this._circleElement.style.height=a+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Fa)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var a=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}else{var i=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Oa(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oa({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ra--,Fa=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ra>1?(e={maximumAge:6e5,timeout:0},Fa=!0):(e=this.options.positionOptions,Fa=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Na={maxWidth:100,unit:\"metric\"},ja=function(e){this.options=t.extend({},Na,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ua(t,e,r){var n=r&&r.maxWidth||100,a=t._container.clientHeight/2,i=t.unproject([0,a]),o=t.unproject([n,a]),s=i.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Va(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Va(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Va(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Va(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Va(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Va(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\"&nbsp;\"+n}ja.prototype.getDefaultPosition=function(){return\"bottom-left\"},ja.prototype._onMove=function(){Ua(this._map,this._container,this.options)},ja.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},ja.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ja.prototype.setUnit=function(t){this.options.unit=t,Ua(this._map,this._container,this.options)};var qa=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};qa.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},qa.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qa.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qa.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qa.prototype._isFullscreen=function(){return this._fullscreen},qa.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},qa.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Ha={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Ga=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ha),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),i=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var a=t.Point.convert(r);return{center:a,top:a,\"top-left\":a,\"top-right\":a,bottom:a,\"bottom-left\":a,\"bottom-right\":a,left:a,right:a}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!i){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=a.y+o.bottom.y<c?[\"top\"]:a.y>this._map.transform.height-c?[\"bottom\"]:[],a.x<l/2?s.push(\"left\"):a.x>this._map.transform.width-l/2&&s.push(\"right\"),i=0===s.length?\"bottom\":s.join(\"-\")}var u=a.add(o[i]).round();r.setTransform(this._container,Pa[i]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Ia(this._container,i,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Ya={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ma,NavigationControl:Ea,GeolocateControl:Ba,AttributionControl:va,ScaleControl:ja,FullscreenControl:qa,Popup:Ga,Marker:Oa,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Ya})),r}))},{}],448:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=i(t,n);return r};var n=t(\"convex-hull\");function a(t,e,r){for(var n=new Array(t),a=0;a<t;++a)n[a]=0,a===e&&(n[a]+=.5),a===r&&(n[a]+=.5);return n}function i(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],i=[],o=0;o<=t;++o)if(e&1<<o){r.push(a(t,o-1,o-1)),i.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(a(t,o-1,s-1)),i.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!i[u[s]])continue t;h.push(i[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":135}],449:[function(t,e,r){var n=t(\"./normalize\"),a=t(\"gl-mat4/create\"),i=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=a(),h=a(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,a){t[0]=e[0]*n+r[0]*a,t[1]=e[1]*n+r[1]*a,t[2]=e[2]*n+r[2]*a}e.exports=function(t,e,r,a,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),a||(a=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(i(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),a[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-a[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),a[0]/=r[1],a[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-a[1]),a[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-a[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),a[1]/=r[2],a[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":450,\"gl-mat4/clone\":272,\"gl-mat4/create\":273,\"gl-mat4/determinant\":274,\"gl-mat4/invert\":278,\"gl-mat4/transpose\":289,\"gl-vec3/cross\":339,\"gl-vec3/dot\":344,\"gl-vec3/length\":354,\"gl-vec3/normalize\":361}],450:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,a=0;a<16;a++)t[a]=e[a]*n;return!0}},{}],451:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),a=t(\"mat4-recompose\"),i=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=i(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=i(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p)&&(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),a(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":274,\"gl-vec3/lerp\":355,\"mat4-decompose\":449,\"mat4-recompose\":452,\"quat-slerp\":501}],452:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},a=(n.create(),n.create());e.exports=function(t,e,r,i,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(a),0!==i[2]&&(a[9]=i[2],n.multiply(t,t,a)),0!==i[1]&&(a[9]=0,a[8]=i[1],n.multiply(t,t,a)),0!==i[0]&&(a[8]=0,a[4]=i[0],n.multiply(t,t,a)),n.scale(t,t,r),t}},{\"gl-mat4/create\":273,\"gl-mat4/fromRotationTranslation\":276,\"gl-mat4/identity\":277,\"gl-mat4/multiply\":280,\"gl-mat4/scale\":287,\"gl-mat4/translate\":288}],453:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],454:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),a=t(\"mat4-interpolate\"),i=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else a(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var m=this.computedInverse;i(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var a=0,i=0;i<3;++i)a+=Math.pow(r[i]-e[i],2);a=Math.log(Math.sqrt(a)),this.computedRadius[0]=a},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var a=this.computedInverse;e&&s(a,a,e),r&&o(a,a,r),n&&l(a,a,n),this.setMatrix(t,i(this.computedMatrix,a))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var 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p=o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})),d=o.map((function(t){return\"c\"+t+\"=this.stride[\"+t+\"]\"}));i.push(\"proto.lo=function \"+r+\"_lo(\"+l.join(\",\")+\"){var b=this.offset,d=0,\"+p.join(\",\")+\",\"+d.join(\",\"));for(var g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){d=i\"+g+\"|0;b+=c\"+g+\"*d;a\"+g+\"-=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"c\"+t})).join(\",\")+\",b)}\"),i.push(\"proto.step=function \"+r+\"_step(\"+l.join(\",\")+\"){var \"+o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t+\"=this.stride[\"+t+\"]\"})).join(\",\")+\",c=this.offset,d=0,ceil=Math.ceil\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'){d=i\"+g+\"|0;if(d<0){c+=b\"+g+\"*(a\"+g+\"-1);a\"+g+\"=ceil(-a\"+g+\"/d)}else{a\"+g+\"=ceil(a\"+g+\"/d)}b\"+g+\"*=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t})).join(\",\")+\",c)}\");var m=new Array(e),v=new Array(e);for(g=0;g<e;++g)m[g]=\"a[i\"+g+\"]\",v[g]=\"b[i\"+g+\"]\";i.push(\"proto.transpose=function \"+r+\"_transpose(\"+l+\"){\"+l.map((function(t,e){return t+\"=(\"+t+\"===undefined?\"+e+\":\"+t+\"|0)\"})).join(\";\"),\"var a=this.shape,b=this.stride;return new \"+r+\"(this.data,\"+m.join(\",\")+\",\"+v.join(\",\")+\",this.offset)}\"),i.push(\"proto.pick=function \"+r+\"_pick(\"+l+\"){var a=[],b=[],c=this.offset\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){c=(c+this.stride[\"+g+\"]*i\"+g+\")|0}else{a.push(this.shape[\"+g+\"]);b.push(this.stride[\"+g+\"])}\");return i.push(\"var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}\"),i.push(\"return function construct_\"+r+\"(data,shape,stride,offset){return new \"+r+\"(data,\"+o.map((function(t){return\"shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"stride[\"+t+\"]\"})).join(\",\")+\",offset)}\"),new Function(\"CTOR_LIST\",\"ORDER\",i.join(\"\\n\"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);\"number\"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var h=function(t){if(a(t))return\"buffer\";if(i)switch(Object.prototype.toString.call(t)){case\"[object Float64Array]\":return\"float64\";case\"[object Float32Array]\":return\"float32\";case\"[object Int8Array]\":return\"int8\";case\"[object Int16Array]\":return\"int16\";case\"[object Int32Array]\":return\"int32\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(t)?\"array\":\"generic\"}(t),f=c[h];f.length<=o+1;)f.push(l(h,f.length-1));return(0,f[o+1])(t,e,r,n)}},{\"iota-array\":437,\"is-buffer\":439}],470:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),a=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-a:a;var r=n.hi(t),i=n.lo(t);e>t==t>0?i===-1>>>0?(r+=1,i=0):i+=1:0===i?(i=-1>>>0,r-=1):i-=1;return n.pack(i,r)}},{\"double-bits\":173}],471:[function(t,e,r){var n=Math.PI,a=c(120);function i(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function o(t,e,r,n,a,i){return[\"C\",t/3+2/3*r,e/3+2/3*n,a/3+2/3*r,i/3+2/3*n,a,i]}function s(t,e,r,i,o,c,u,h,f,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var g=(t-(h=(d=l(h,f,-o)).x))/2,m=(e-(f=d.y))/2,v=g*g/(r*r)+m*m/(i*i);v>1&&(r*=v=Math.sqrt(v),i*=v);var y=r*r,x=i*i,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*m*m-x*g*g)/(y*m*m+x*g*g)));b==1/0&&(b=1);var _=b*r*m/i+(t+h)/2,w=b*-i*g/r+(e+f)/2,T=Math.asin(((e-w)/i).toFixed(9)),k=Math.asin(((f-w)/i).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=h<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>a){var M=k,A=h,S=f;k=T+a*(u&&k>T?1:-1);var E=s(h=_+r*Math.cos(k),f=w+i*Math.sin(k),r,i,o,0,u,A,S,[k,M,_,w])}var C=Math.tan((k-T)/4),L=4/3*r*C,P=4/3*i*C,I=[2*t-(t+L*Math.sin(T)),2*e-(e-P*Math.cos(T)),h+L*Math.sin(k),f-P*Math.cos(k),h,f];if(p)return I;E&&(I=I.concat(E));for(var z=0;z<I.length;){var O=l(I[z],I[z+1],o);I[z++]=O.x,I[z++]=O.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,a=0,l=0,u=0,h=null,f=null,p=0,d=0,g=0,m=t.length;g<m;g++){var v=t[g],y=v[0];switch(y){case\"M\":l=v[1],u=v[2];break;case\"A\":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift(\"C\"),v.length>7&&(r.push(v.splice(0,7)),v.unshift(\"C\"));break;case\"S\":var x=p,b=d;\"C\"!=e&&\"S\"!=e||(x+=x-n,b+=b-a),v=[\"C\",x,b,v[1],v[2],v[3],v[4]];break;case\"T\":\"Q\"==e||\"T\"==e?(h=2*p-h,f=2*d-f):(h=p,f=d),v=o(p,d,h,f,v[1],v[2]);break;case\"Q\":h=v[1],f=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case\"L\":v=i(p,d,v[1],v[2]);break;case\"H\":v=i(p,d,v[1],d);break;case\"V\":v=i(p,d,p,v[1]);break;case\"Z\":v=i(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],a=v[v.length-3]):(n=p,a=d),r.push(v)}return r}},{}],472:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o)a[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],h=0;h<s.length;++h){l=c,c=u,u=s[(h+1)%s.length];for(var f=e[l],p=e[c],d=e[u],g=new Array(3),m=0,v=new Array(3),y=0,x=0;x<3;++x)g[x]=f[x]-p[x],m+=g[x]*g[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(m*y>i){var b=a[c],_=1/Math.sqrt(m*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*g[T]-v[T]*g[w])}}}for(o=0;o<n;++o){b=a[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>i)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return a},r.faceNormals=function(t,e,r){for(var n=t.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),h=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],h[c]=l[2][c]-l[0][c];var f=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,g=(c+2)%3;f[c]=u[d]*h[g]-u[g]*h[d],p+=f[c]*f[c]}p=p>i?1/Math.sqrt(p):0;for(c=0;c<3;++c)f[c]*=p;a[o]=f}return a}},{}],473:[function(t,e,r){\n",
-       "/*\n",
-       "object-assign\n",
-       "(c) Sindre Sorhus\n",
-       "@license MIT\n",
-       "*/\n",
-       "\"use strict\";var n=Object.getOwnPropertySymbols,a=Object.prototype.hasOwnProperty,i=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e[\"_\"+String.fromCharCode(r)]=r;if(\"0123456789\"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(\"\"))return!1;var n={};return\"abcdefghijklmnopqrst\".split(\"\").forEach((function(t){n[t]=t})),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},n)).join(\"\")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))a.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var h=0;h<s.length;h++)i.call(r,s[h])&&(l[s[h]]=r[s[h]])}}return l}},{}],474:[function(t,e,r){\"use 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Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=c(r,n,a,i);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=a/o,t[3]=i/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function h(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var f=h.prototype;f.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},f.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;i(r,e);var n=this.computedCenter,a=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);a[0]=n[0]+s*r[2],a[1]=n[1]+s*r[6],a[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var c=0,h=0;h<3;++h)c+=r[l+4*h]*a[h];r[12+l]=-c}},f.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},f.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},f.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},f.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var a=this.computedMatrix,i=a[1],o=a[5],s=a[9],c=l(i,o,s);i/=c,o/=c,s/=c;var u=a[0],h=a[4],f=a[8],p=u*i+h*o+f*s,d=l(u-=i*p,h-=o*p,f-=s*p);u/=d,h/=d,f/=d;var g=a[2],m=a[6],v=a[10],y=g*i+m*o+v*s,x=g*u+m*h+v*f,b=l(g-=y*i+x*u,m-=y*o+x*h,v-=y*s+x*f);g/=b,m/=b,v/=b;var _=u*e+i*r,w=h*e+o*r,T=f*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},f.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var a=this.computedMatrix,i=a[0],o=a[4],s=a[8],u=a[1],h=a[5],f=a[9],p=a[2],d=a[6],g=a[10],m=e*i+r*u,v=e*o+r*h,y=e*s+r*f,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,M=k[0],A=k[1],S=k[2],E=k[3],C=M*w+E*x+A*_-S*b,L=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=g;var z=Math.sin(n)/l(x,b,_);x*=z,b*=z,_*=z,I=I*(w=Math.cos(e))-(C=C*w+I*x+L*_-P*b)*x-(L=L*w+I*b+P*x-C*_)*b-(P=P*w+I*_+C*b-L*x)*_}var O=c(C,L,P,I);O>1e-6?(C/=O,L/=O,P/=O,I/=O):(C=L=P=0,I=1),this.rotation.set(t,C,L,P,I)},f.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;a(i,e,r,n);var o=this.computedRotation;s(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var a=n[15];if(Math.abs(a)>1e-6){var i=n[12]/a,l=n[13]/a,c=n[14]/a;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,i-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},f.getDistanceLimits=function(t){var e=this.radius.bounds;return 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-       "/*!\n",
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h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(f)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===h.alongA&&(-1===h.alongB?l(t,c):0===h.alongB?l(t,h.pt):1===h.alongB&&l(t,u)),0===h.alongB&&(-1===h.alongA?l(n,o):0===h.alongA?l(n,h.pt):1===h.alongA&&l(n,s));return!1}for(var h=[];!i.isEmpty();){var f=i.getHead();if(r&&r.vert(f.pt[0]),f.isStart){r&&r.segmentNew(f.seg,f.primary);var p=c(f),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(f,d);if(t)return t}return!!g&&u(f,g)}r&&r.tempStatus(f.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else 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MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},m.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=i({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=a(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var P=c(T,d.hole||[]),I=0,z=P.length;I<z;I++)null!=k[P[I]]&&(P[I]=k[P[I]]);d.triangles=P}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var Z=0,X=t.dashes[W]*m.dashMult*.5;Z<X;++Z)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=this.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:413,\"object-assign\":473,\"parse-rect\":478,\"pick-by-alias\":485,\"to-float32\":549}],510:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,a=!1,i=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){a=!0,i=t}finally{try{n||null==s.return||s.return()}finally{if(a)throw i}}return r}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function a(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||i(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),h=t(\"object-assign\"),f=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),h(this,{regl:t,gl:a,groups:[],markerCache:[null],markerTextures:[null],palette:i,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:a.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?i.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?i.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=h({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=h({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!i)return r?[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=f.length;v--;){var y=n(f[v],2),x=y[0],b=y[1];u.push(h({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,f=this.palette;this.groups=a=r.map((function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(a[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=h({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,i=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),h=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}return a({data:v.float(t),usage:\"dynamic\"}),i({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach((function(t){return t&&t.destroy&&t.destroy()})),a.length=0,e&&\"number\"!=typeof e[0]){for(var i=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);i[c]||(i[c]=new Uint8Array(r.count)),i[c][s]=1}for(var u=0;u<i.length;u++)if(i[u]){var h={data:i[u],type:\"uint8\",usage:\"static\"};a[u]?a[u](h):a[u]=o.buffer(h),a[u].data=i[u]}}else{a[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[i.drawingBufferWidth,i.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\"dynamic\"})}if(x){var E,C=n,L=C.count,P=C.color,I=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=P[O];E[8*O]=f[4*D],E[8*O+1]=f[4*D+1],E[8*O+2]=f[4*D+2],E[8*O+3]=f[4*D+3];var R=I[O];E[8*O+4]=f[4*R],E[8*O+5]=f[4*R+1],E[8*O+6]=f[4*R+2],E[8*O+7]=f[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,a=this.markerCache,i=null==t?0:a.indexOf(t);if(i>=0)return i;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return i=r.length,a.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),i},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var a=[];if(\"number\"==typeof t[0]){var i=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)i.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)i.push(t.subarray(l,l+4));t=i}for(var u=0;u<t.length;u++){var h=t[u];h=s(h,\"uint8\");var f=c(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}a[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===a.length?a[0]:a},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var a=.25*(t=t.slice()).length%e;a<n*e;a++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return 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o=(i+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[i],l=e[i+4],h=e[i+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var m=c(s,l,h);s/=m,l/=m,h/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,T=c(x-=s*w,b-=l*w,_-=h*w),k=l*(_/=T)-h*(b/=T),M=h*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],C=e[5],L=e[9],P=E*x+C*b+L*_,I=E*k+C*M+L*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var z=e[2],O=e[6],D=e[10],R=z*s+O*l+D*h,F=z*x+O*b+D*_,B=z*k+O*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;a(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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i=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return i(t).filter(m)}}),\"getPropertyNames\"in Object){var h=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return h(t).filter(m)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var f=!1,p=0,d=function(){this instanceof d||x();var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":593,\"object-assign\":473}],581:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":593,\"object-assign\":473}],582:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":593,\"object-assign\":473}],586:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":593,\"object-assign\":473}],587:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":593,\"object-assign\":473}],588:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":593,\"object-assign\":473}],590:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":593,\"object-assign\":473}],591:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":593,\"object-assign\":473}],592:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":775,\"fast-isnumeric\":241}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../annotations/attributes\":598}],608:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../annotations/common_defaults\":601,\"./attributes\":607}],610:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":848,\"../annotations/draw\":604}],611:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var a=0;a<r.length;a++)c(t,e,r[a]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,r){for(var 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a=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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E=x.width/2+M;v<E?(v=E,s.attr(\"d\",\"M-\"+(E-k)+\",0L-\"+(E-2*k)+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"Z\")):v>a.width-E?(v=a.width-E,s.attr(\"d\",\"M\"+(E-k)+\",0L\"+E+\",\"+A+k+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"H\"+(E-2*k)+\"Z\")):s.attr(\"d\",\"M0,0L\"+k+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+(M+x.width/2)+\"V\"+A+k+\"H-\"+k+\"Z\")}else{var C,P,I;\"right\"===S.side?(C=\"start\",P=1,I=\"\",v=T._offset+T._length):(C=\"end\",P=-1,I=\"-\",v=T._offset),y=S._offset+(w.y0+w.y1)/2,c.attr(\"text-anchor\",C),s.attr(\"d\",\"M0,0L\"+I+k+\",\"+k+\"V\"+(M+x.height/2)+\"h\"+I+(2*M+x.width)+\"V-\"+(M+x.height/2)+\"H\"+I+k+\"V-\"+k+\"Z\");var O,D=x.height/2,R=z-x.top-D,F=\"clip\"+a._uid+\"commonlabel\"+S._id;if(v<x.width+2*M+k){O=\"M-\"+(k+M)+\"-\"+D+\"h-\"+(x.width-M)+\"V\"+D+\"h\"+(x.width-M)+\"Z\";var B=x.width-v+M;l.positionText(c,B,R),\"end\"===C&&c.selectAll(\"tspan\").each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.bgcolor||t.color,f=h.combine(h.opacity(o)?o:h.defaultLine,c),p=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),d=t.borderColor||h.contrast(f),g=C(t,R,i,a,L,e),m=g[0],v=g[1],y=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||d).text(m).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),w=e.select(\"text.name\"),T=0,A=0;if(v&&v!==m){w.call(u.font,t.fontFamily||b,t.fontSize||_,p).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var S=w.node().getBoundingClientRect();T=S.width+2*M,A=S.height+2*M}else w.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:f,stroke:d});var E,P,I=y.node().getBoundingClientRect(),F=t.xa._offset+(t.x0+t.x1)/2,B=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=I.width+k+M+T;if(t.ty0=z-I.top,t.bx=I.width+2*M,t.by=Math.max(I.height+2*M,A),t.anchor=\"start\",t.txwidth=I.width,t.tx2width=T,t.offset=0,s)t.pos=F,E=B+j/2+U<=D,P=B-j/2-U>=0,\"top\"!==t.idealAlign&&E||!P?E?(B+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(B-=j/2,t.anchor=\"end\");else if(t.pos=B,E=F+N/2+U<=O,P=F-N/2-U>=0,\"left\"!==t.idealAlign&&E||!P)if(E)F+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var V=U/2,q=F+V-O,H=F-V;q>0&&(F-=q),H<0&&(F+=-H)}else F-=N/2,t.anchor=\"end\";y.attr(\"text-anchor\",t.anchor),T&&w.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+F+\",\"+B+\")\"+(s?\"rotate(\"+x+\")\":\"\"))})),it}function C(t,e,r,n,a,i){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return s=O(r,t.nameLength),\"\"}))),[l,s]}function L(t,e){t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(k+M),h=c+s*(t.txwidth+M),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+M),e&&(p*=-T,f=t.offset*w),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*k+f)+\",\"+(k+p)+\"v\"+(t.by/2-k)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*k+f)+\"V\"+(p-k)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||\"auto\";\"auto\"!==m&&(\"left\"===m&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+M:-t.bx-M):\"right\"===m&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-M:t.bx+M)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:i(a({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/animation_attributes\":792,\"../../plots/font_attributes\":825,\"../../plots/pad_attributes\":859,\"./constants\":706}],706:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var 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f=s.distinctVals(t),d=Math.pow(10,Math.floor(Math.log(f.minDiff)/Math.LN10)),g=d*s.roundUp(f.minDiff/d,[.9,1.9,4.9,9.9],!0);h=Math.max(g,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),a(h)||(h=1)}F.autoTicks(l,h)}var m,v=l.dtick,y=F.tickIncrement(F.tickFirst(l),v,\"reverse\",i);if(\"number\"==typeof v)m=(y=function(t,e,r,n,i){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var h=0;h<e.length;h++)e[h]%1==0?l++:a(e[h])||c++,u(e[h])&&o++,u(e[h]+r.dtick/2)&&s++;var f=e.length-c;if(l===f&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*f&&(o>.3*f||u(n)||u(i))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for(\"M\"===l.dtick.charAt(0)&&(y=function(t,e,r,n,a){var i=s.findExactDates(e,a);if(i.exactDays>.8){var o=Number(r.substr(1));i.exactYears>.8&&o%12==0?t=F.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:i.exactMonths>.8?t=F.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=A;var l=F.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,i)),m=y,0;m<=u;)m=F.tickIncrement(m,v,!1,i);return{start:e.c2r(y,0,i),end:e.c2r(m,0,i),size:v,_dataSpan:u-c}},F.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?1.2*(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),\"array\"===t.tickmode&&(a*=100),t._roughDTick=(Math.abs(r[1]-r[0])-(t._lBreaks||0))/a,F.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),$(t)},F.calcTicks=function(t,e){F.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"array\"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),a=U(s.simpleMap(t.range,t.r2l)),i=Math.min(a[0],a[1]),o=Math.max(a[0],a[1]),l=0;Array.isArray(r)||(r=[]);var c=\"category\"===t.type?t.d2l_noadd:t.d2l;\"log\"===t.type&&\"L\"!==String(t.dtick).charAt(0)&&(t.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var h=c(e[u]);h>i&&h<o&&(void 0===r[u]?n[l]=F.tickText(t,h):n[l]=tt(t,h,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==P})));return n}(t);t._tmin=F.tickFirst(t,e);var n=U(r),i=n[0],o=n[1],l=r[1]<r[0];if(t._tmin<i!==l)return[];\"category\"!==t.type&&\"multicategory\"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var c,u=\"log\"===t.type&&!(a(t.dtick)||\"L\"===t.dtick.charAt(0));!function(){var e=null,r=Math.max(1e3,t._length||0);c=[];for(var n=t._tmin;(l?n>=o:n<=o)&&!(c.length>r||n===e);n=F.tickIncrement(n,t.dtick,l,t.calendar)){e=n;var a=!1;u&&n!==(0|n)&&(a=!0),c.push({minor:a,value:n})}}();var h=\"period\"===t.ticklabelmode;if(h&&c.unshift({minor:!1,value:F.tickIncrement(c[0].value,t.dtick,!l,t.caldendar)}),t.rangebreaks){var f=c.length;if(f){var p=0;\"auto\"===t.tickmode&&(p=(\"y\"===t._id.charAt(0)?2:6)*(t.tickfont?t.tickfont.size:12));for(var d,E=[],C=l?1:-1,L=l?f-1:0,I=l?0:f-1;C*I<=C*L;I+=C){var z=c[I];if(t.maskBreaks(z.value)!==P||(z.value=vt(z.value,t),!t._rl||t._rl[0]!==z.value&&t._rl[1]!==z.value)){var O=t.c2p(z.value);O===d?E[E.length-1].value<z.value&&(E[E.length-1]=z):(void 0===d||Math.abs(O-d)>p)&&(d=O,E.push(z))}}c=E.reverse()}}mt(t)&&360===Math.abs(r[1]-r[0])&&c.pop(),t._tmax=(c[c.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var D,R=Math.min(r[0],r[1]),B=Math.max(r[0],r[1]),N=F.getTickFormat(t);h&&N&&(/%[fLQsSMX]/.test(N)||(/%[HI]/.test(N)?D=S:/%p/.test(N)?D=A:/%[Aadejuwx]/.test(N)?D=M:/%[UVW]/.test(N)?D=k:/%[Bbm]/.test(N)?D=w:/%[q]/.test(N)?D=x:/%[Yy]/.test(N)&&(D=m)));var j,V,q=[];for(j=0;j<c.length;j++){var H=c[j].minor,G=c[j].value,Y=F.tickText(t,G,!1,H);h&&V===Y.text||(V=Y.text,q.push(Y))}if(h){var W=!1;for(j=0;j<q.length;j++){var Z=q[j].x,X=j,J=j+1;j<q.length-1?(X=j,J=j+1):j>0?(X=j-1,J=j):(X=j,J=j);var K=q[X].x,Q=q[J].x,$=Math.abs(Q-K),et=D||$,rt=0;if(et>=v?rt=$>=v&&$<=g?$:m:D===x&&et>=b?rt=$>=b&&$<=y?$:x:et>=T?rt=$>=T&&$<=_?$:w:D===k&&et>=k?rt=k:et>=M?rt=M:D===A&&et>=A?rt=A:D===S&&et>=S&&(rt=S),rt&&t.rangebreaks){for(var nt=0,at=0,it=0;it<42;it++){var ot=it/42;t.maskBreaks(K*(1-ot)+Q*ot)!==P&&(ot<.5?nt++:at++)}at&&(rt*=(nt+at)/42)}rt<=$&&(Z+=rt/2),q[j].periodX=Z,(Z>B||Z<R)&&(q[j].text=\" \",W=!0)}if(W)for(j=0;j<q.length;j++)if(q[j].periodX<=B&&q[j].periodX>=R){t._prevDateHead=\"\",q[j].text=F.tickText(t,q[j].x).text;break}}return t._inCalcTicks=!1,q};var G=[2,5,10],Y=[1,2,3,6,12],W=[1,2,5,10,15,30],Z=[1,2,3,7,14],X=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],J=[-.301,0,.301,.699,1],K=[15,30,45,90,180];function Q(t,e,r){return e*s.roundUp(t/e,r)}function $(t){var e=t.dtick;if(t._tickexponent=0,a(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(\"M\"===String(e).charAt(0))i>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&i<=10||e>=15*M)t._tickround=\"d\";else if(e>=E&&i<=16||e>=S)t._tickround=\"M\";else if(e>=C&&i<=19||e>=E)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(i,o)-20,t._tickround<0&&(t._tickround=4)}}else if(a(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);a(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01);Math.abs(c)>3&&(rt(t.exponentformat)&&!nt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function tt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar);var i=2*e;if(i>m)e/=m,r=n(10),t.dtick=\"M\"+12*Q(e,r,G);else if(i>w)e/=w,t.dtick=\"M\"+Q(e,1,Y);else if(i>M){t.dtick=Q(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:Z),t.tick0=s.dateTick0(t.calendar,!0);var o=F.getTickFormat(t);if(/%[uVW]/.test(o)){var l=t.tick0.length,c=+t.tick0[l-1];t.tick0=t.tick0.substring(0,l-2)+String(c+1)}}else i>S?t.dtick=Q(e,S,Y):i>E?t.dtick=Q(e,E,W):i>C?t.dtick=Q(e,C,W):(r=n(10),t.dtick=Q(e,r,G))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var h=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/h,r=n(10),t.dtick=\"L\"+Q(e,r,G)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):mt(t)?(t.tick0=0,r=1,t.dtick=Q(e,r,K)):(t.tick0=0,r=n(10),t.dtick=Q(e,r,G));if(0===t.dtick&&(t.dtick=1),!a(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},F.tickIncrement=function(t,e,r,i){var o=r?-1:1;if(a(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,i);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?J:X,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,i=s.simpleMap(t.range,r,void 0,void 0,e),o=i[1]<i[0],l=o?Math.floor:Math.ceil,c=U(i)[0],u=t.dtick,h=r(t.tick0);if(a(u)){var f=l((c-h)/u)*u+h;return\"category\"!==t.type&&\"multicategory\"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?J:X,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},F.tickText=function(t,e,r,n){var i,o=tt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,h=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(i=0;i<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[i]))<p);i++);if(i<t.ticktext.length)return o.text=String(t.ticktext[i]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var a={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==a}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var i=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(i=a(i)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var l,c=s.formatDate(e.x,o,i,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));l&&(r?\"d\"===i?c+=\", \"+l:c=l+(c?\", \"+c:\"\"):t._inCalcTicks&&l===t._prevDateHead||(c+=\"<br>\"+l,t._prevDateHead=l));e.text=c}(t,o,r,c):\"log\"===u?function(t,e,r,n,i){var o=t.dtick,l=e.x,c=t.tickformat,u=\"string\"==typeof o&&o.charAt(0);\"never\"===i&&(i=\"\");n&&\"L\"!==u&&(o=\"L3\",u=\"L\");if(c||\"L\"===u)e.text=at(Math.pow(10,l),t,i,n);else if(a(o)||\"D\"===u&&s.mod(l+.01,1)<.1){var h=Math.round(l),f=Math.abs(h),p=t.exponentformat;\"power\"===p||rt(p)&&nt(h)?(e.text=0===h?1:1===h?\"10\":\"10<sup>\"+(h>1?\"\":L)+f+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&f>2?e.text=\"1\"+p+(h>0?\"+\":L)+f:(e.text=at(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==u)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,g):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 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v=m[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=F.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,M=F.makeTransFn(e),A=\"period\"===e.ticklabelmode?F.makeTransPeriodFn(e):F.makeTransFn(e);if(\"boundaries\"===e.tickson){var S=function(t,e){var r,n=[],a=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)a(e[r],0);a(e[r-1],1)}return n}(0,b);k=F.clipEnds(e,S),T=\"inside\"===e.ticks?k:S}else k=F.clipEnds(e,b),T=\"inside\"===e.ticks?k:b;var E=e._gridVals=k,C=function(t,e){var r,n,a=[],i=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&a.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,i?1:0),n=l.text2}o(e[r-1],i?0:1)}return 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n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,a.isArrayOrTypedArray(o[0])&&a.isArrayOrTypedArray(o[1]))?\"multicategory\":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),i=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,a.isDateTime(c,e)&&(i+=1),n(c)&&(o+=1))}return i>2*o}(t,e)?\"date\":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,\"boolean\"==typeof l?n++:a.cleanNumber(l)!==i?r++:\"string\"==typeof l&&n++)}return n>2*r}(t)?\"category\":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?\"linear\":\"-\";var o}},{\"../../constants/numerical\":724,\"../../lib\":749,\"fast-isnumeric\":241}],799:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var 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r=t.substr(1).replace(/^0+/,\"\");return\"1\"===r&&(r=\"\"),t.charAt(0)+r}},r.list=function(t,e,n){var a=t._fullLayout;if(!a)return[];var i,o=r.listIds(t,e),s=new Array(o.length);for(i=0;i<o.length;i++){var l=o[i];s[i]=a[l.charAt(0)+\"axis\"+l.substr(1)]}if(!n){var c=a._subplots.gl3d||[];for(i=0;i<c.length;i++){var u=a[c[i]];e?s.push(u[e+\"axis\"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+\"axis\"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var a=t._fullLayout;return\"x\"===n?e=e.replace(/y[0-9]*/,\"\"):\"y\"===n&&(e=e.replace(/x[0-9]*/,\"\")),a[r.id2name(e)]},r.getFromTrace=function(t,e,a){var i=t._fullLayout,o=null;if(n.traceIs(e,\"gl3d\")){var s=e.scene;\"scene\"===s.substr(0,5)&&(o=i[s][a+\"axis\"])}else o=r.getFromId(t,e[a+\"axis\"]||a);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e}},{\"../../registry\":880,\"./constants\":803}],801:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var a,i=t.categoryarray,o=Array.isArray(i)&&i.length>0;o&&(a=\"array\");var s,l=r(\"categoryorder\",a);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,a,i=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[i+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][i];for(a=0;a<l.length;a++){var c=l[a];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category 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r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return 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e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],808:[function(t,e,r){\"use strict\";function n(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:n,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return n(t,r[e])}},getTransform:function(t){return\"translate(\"+t.xaxis._offset+\",\"+t.yaxis._offset+\")\"}}},{}],809:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports=function(t){return function(e,r){var i=e[t];if(Array.isArray(i))for(var o=n.subplotsRegistry.cartesian,s=o.idRegex,l=r._subplots,c=l.xaxis,u=l.yaxis,h=l.cartesian,f=r._has(\"cartesian\")||r._has(\"gl2d\"),p=0;p<i.length;p++){var d=i[p];if(a.isPlainObject(d)){var 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T=e.plot.selectAll(\"g.mlayer\").data(m,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var a=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,a,i,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(a,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=a.getModule(\"scattergl\"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function g(t,e){var r=e.plotgroup,n=e.id,a=u.layerValue2layerClass[e.xaxis.layer],i=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,\"path\",h),f(s.overlinesBelow,\"path\",d),f(s.overaxesBelow,\"g\",h),f(s.overaxesBelow,\"g\",d),e.plot=f(s.overplot,\"g\",n),f(s.overlinesAbove,\"path\",h),f(s.overlinesAbove,\"path\",d),f(s.overaxesAbove,\"g\",h),f(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+a).select(\".\"+h),e.ylines=l.select(\".overlines-\"+i).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+a).select(\".\"+h),e.yaxislayer=l.select(\".overaxes-\"+i).select(\".\"+d)}else if(o)e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.xaxislayer=f(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=f(r,\"g\",\"yaxislayer-above\");else{var g=f(r,\"g\",\"layer-subplot\");e.shapelayer=f(g,\"g\",\"shapelayer\"),e.imagelayer=f(g,\"g\",\"imagelayer\"),e.gridlayer=f(r,\"g\",\"gridlayer\"),e.zerolinelayer=f(r,\"g\",\"zerolinelayer\"),f(r,\"path\",\"xlines-below\"),f(r,\"path\",\"ylines-below\"),e.overlinesBelow=f(r,\"g\",\"overlines-below\"),f(r,\"g\",\"xaxislayer-below\"),f(r,\"g\",\"yaxislayer-below\"),e.overaxesBelow=f(r,\"g\",\"overaxes-below\"),e.plot=f(r,\"g\",\"plot\"),e.overplot=f(r,\"g\",\"overplot\"),e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.overlinesAbove=f(r,\"g\",\"overlines-above\"),f(r,\"g\",\"xaxislayer-above\"),f(r,\"g\",\"yaxislayer-above\"),e.overaxesAbove=f(r,\"g\",\"overaxes-above\"),e.xlines=r.select(\".xlines-\"+a),e.ylines=r.select(\".ylines-\"+i),e.xaxislayer=r.select(\".xaxislayer-\"+a),e.yaxislayer=r.select(\".yaxislayer-\"+i)}o||(p(e.gridlayer,\"g\",e.xaxis._id),p(e.gridlayer,\"g\",e.yaxis._id),e.gridlayer.selectAll(\"g\").map((function(t){return 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},w.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"./constants\"),o=t(\"../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};(e.exports=o({domain:a({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(i.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(i.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:i.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:i.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:i.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:i.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":614,\"../../plot_api/edit_types\":780,\"../domain\":824,\"./constants\":827}],831:[function(t,e,r){\"use 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v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":803,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460}],836:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":772,\"../cartesian/axes\":797}],837:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../plot_api/edit_types\":780,\"../cartesian\":810,\"../cartesian/attributes\":795,\"../cartesian/constants\":803,\"../get_data\":834,\"../layout_attributes\":851,\"./scene2d\":838}],838:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":633,\"../../components/fx\":655,\"../../lib/show_no_webgl_msg\":770,\"../../plots/cartesian/axes\":797,\"../../registry\":880,\"../cartesian/autorange\":796,\"../cartesian/constants\":803,\"../cartesian/constraints\":804,\"./camera\":835,\"./convert\":836,\"gl-plot2d\":298,\"gl-select-box\":310,\"gl-spikes2d\":319,\"webgl-context\":578}],839:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../lib\":749,\"../../plot_api/edit_types\":780,\"../get_data\":834,\"./layout/attributes\":840,\"./layout/defaults\":844,\"./layout/layout_attributes\":845,\"./scene\":849}],840:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],841:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":615,\"../../../lib/extend\":739,\"../../../plot_api/edit_types\":780,\"../../cartesian/layout_attributes\":811}],842:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":749,\"../../../plot_api/plot_template\":787,\"../../cartesian/axis_defaults\":799,\"../../cartesian/type_defaults\":822,\"./axis_attributes\":841,tinycolor2:548}],843:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":749,\"../../../lib/str2rgbarray\":772}],844:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":615,\"../../../lib\":749,\"../../../registry\":880,\"../../get_data\":834,\"../../subplot_defaults\":874,\"./axis_defaults\":842,\"./layout_attributes\":845}],845:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":749,\"../../../lib/extend\":739,\"../../domain\":824,\"./axis_attributes\":841}],846:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":772}],847:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":749,\"../../cartesian/axes\":797}],848:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],849:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in y?(y[l].acc*=f[i],y[l].count+=1):y[l]={acc:f[i],count:1},s.autorange){m[0][i]=1/0,m[1][i]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][i]=Math.min(m[0][i],s._lowerLogErrorBound):m[0][i]=Math.min(m[0][i],M[0][i]/f[i]-A),m[1][i]=Math.max(m[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][i]=Math.min(m[0][i],E),m[1][i]=Math.max(m[1][i],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][i]=Math.min(m[0][i],0),m[1][i]=Math.max(m[1][i],0)),m[0][i]>m[1][i])m[0][i]=-1,m[1][i]=1;else{var C=m[1][i]-m[0][i];m[0][i]-=C/32,m[1][i]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][i];m[0][i]=m[1][i],m[1][i]=L}}else{var P=s.range;m[0][i]=s.r2l(P[0]),m[1][i]=s.r2l(P[1])}m[0][i]===m[1][i]&&(m[0][i]-=1,m[1][i]+=1),v[i]=m[1][i]-m[0][i],this.glplot.setBounds(i,{min:m[0][i]*f[i],max:m[1][i]*f[i]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(i=0;i<3;++i){var D=y[l=(s=c[T[i]]).type];O[i]=Math.pow(D.acc,1/D.count)/f[i]}g=\"data\"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],851:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),a=t(\"./animation_attributes\"),i=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, 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strict\";var n={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:'<a href=\"http://www.openstreetmap.org/about/\" target=\"_blank\">\\xa9 OpenStreetMap</a>',tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:'Map tiles by <a href=\"http://stamen.com\">Stamen Design</a>, under <a href=\"http://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a> | Data by <a href=\"http://openstreetmap.org\">OpenStreetMap</a>, under <a 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n=t(\"../../lib\"),a=t(\"../../lib/svg_text_utils\").sanitizeHTML,i=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var 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n=t(\"mapbox-gl\"),a=t(\"../../lib\"),i=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,a=this,i=e[a.id];a.map&&i.accesstoken!==a.accessToken&&(a.map.remove(),a.map=null,a.styleObj=null,a.traceHash={},a.layerList=[]),n=a.map?new Promise((function(r,n){a.updateMap(t,e,r,n)})):new Promise((function(r,n){a.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,a){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(a),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(i.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(a)},_.updateMap=function(t,e,r,n){var a=this,o=a.map,s=e[this.id];a.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(a.styleObj)!==JSON.stringify(c)&&(a.styleObj=c,o.setStyle(c.style),a.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(i.fetchTraceGeoData(t)),Promise.all(l).then((function(){a.fillBelowLookup(t,e),a.updateData(t),a.updateLayout(e),a.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,a=e[this.id].layers,i=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),i[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<a.length;r++){var c=a[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",i[\"layout-\"+r]=n}var u,h,f={};for(u in i)f[n=i[u]]?f[n].push(u):f[n]=[u];for(n in f){var 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s=o[n],l=!1;(e=i[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(i[r.uid]=r._module.plot(this,s))}var c=Object.keys(i);t:for(n=0;n<c.length;n++){var u=c[n];for(a=0;a<t.length;a++)if(u===(r=t[a][0].trace).uid)continue t;(e=i[u]).dispose(),delete i[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(M(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new 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u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, 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n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark 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arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":717,\"../../../lib\":749,d3:169}],870:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":615,\"../../../lib\":749,\"./micropolar\":869,\"./undo_manager\":871,d3:169}],871:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],872:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a[\"angular-axis\"].selectAll(\".\"+p._id+\"tick\").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if(\"linear\"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,\"category\"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _=\"inside\"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a[\"angular-axis\"],path:\"M\"+_*w+\",0h\"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a[\"angular-grid\"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[c+l*r,h-l*n]+\"L\"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(a[\"angular-line\"].select(\"path\"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,\"path\",\"maindrag\",\"crosshair\");n.select(I).attr(\"d\",e.pathSubplot()).attr(\"transform\",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return\"M\"+W(s,a)+\"A\"+[s,s]+\" 0,0,0 \"+W(s,i)+\"L\"+W(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+W(l,a)+\"Z\"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var a,i,o=W(t,r),s=W(t,n),l=S((o[0]+s[0])/2),c=S((o[1]+s[1])/2);if(l&&c){var u=c/l,h=-1/u,f=E(L,u,l,c);a=E(P,h,f[0][0],f[0][1]),i=E(P,h,f[1][0],f[1][1])}else{var p,d;c?(p=P,d=L):(p=L,d=P),a=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+a.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function J(t,e){return e=Math.max(Math.min(e,u),h),t<c?t=0:u-t<c?t=u:e<c?e=0:u-e<c&&(e=u),Math.abs(e-t)>l?(t<e?(D=t,F=e):(D=e,F=t),!0):(D=null,F=null,!1)}function K(t,e){t=t||B,e=e||\"M0,0Z\",U.attr(\"d\",t),V.attr(\"d\",e),d.transitionZoombox(U,V,N,j),N=!0;var n={};rt(n),r.emit(\"plotly_relayouting\",n)}function Q(t,r){var n,a,i=z+t,o=O+r,s=G(z,O),l=Math.min(G(i,o),u),c=Y(z,O);J(s,l)&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),a=Z(D,c)+Z(F,c)),K(n,a)}function $(t,e,r,n){var a=A.findIntersectionXY(r,n,r,[t-v,_-e]);return H(a[0],a[1])}function tt(t,r){var 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var 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h=r(\"hoveron\");\"all\"!==h&&-1===h.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,a){function o(r,a){return n.coerce(t,e,l,r,a)}if(c(t,e,o,a),!1!==e.visible){var s=e._hasPreCompStats;s&&(o(\"lowerfence\"),o(\"upperfence\")),o(\"line.color\",(t.marker||{}).color||r),o(\"line.width\"),o(\"fillcolor\",i.addOpacity(e.line.color,.5));var h=!1;if(s){var f=o(\"mean\"),p=o(\"sd\");f&&f.length&&(h=!0,p&&p.length&&(h=\"sd\"))}o(\"boxmean\",h),o(\"whiskerwidth\"),o(\"width\"),o(\"quartilemethod\");var d=!1;if(s){var g=o(\"notchspan\");g&&g.length&&(d=!0)}else n.validate(t.notchwidth,l.notchwidth)&&(d=!0);o(\"notched\",d)&&o(\"notchwidth\"),u(t,e,o,{prefix:\"box\"})}},crossTraceDefaults:function(t,e){var r,a;function i(t){return n.coerce(a._input,a,l,t)}for(var s=0;s<t.length;s++){var 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N={},j=[\"med\",\"q1\",\"q3\",\"min\",\"max\"];(M.boxmean||(M.meanline||{}).visible)&&j.push(\"mean\"),(M.boxpoints||M.points)&&j.push(\"lf\",\"uf\");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var q=D[V],H=h.c2p(q,!0),G=a.extendFlat({},t);G.attr=V,G[c+\"0\"]=G[c+\"1\"]=H,G[c+\"LabelVal\"]=q,G[c+\"Label\"]=(A.labels?A.labels[V]+\" \":\"\")+n.hoverLabelText(h,q),G.hoverOnBox=!0,\"mean\"===V&&\"sd\"in D&&\"sd\"===M.boxmean&&(G[c+\"err\"]=D.sd),t.name=\"\",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),g=i.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),m=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var 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o,s,l=\"h\"===r.orientation,c=e.val,u=e.pos,h=!!u.rangebreaks,f=i.bPos,p=i.wdPos||0,d=i.bPosPxOffset||0,g=r.whiskerwidth||0,m=r.notched||!1,v=m?1-2*r.notchwidth:1;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var y=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?a.identity:[]);y.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),y.exit().remove(),y.each((function(t){if(t.empty)return\"M0,0Z\";var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=h?(i+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=h?i*b+(1-b)*x:u.l2p(e-p)+d,w=h?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,M=c.c2p(t.q1,!0),A=c.c2p(t.q3,!0),S=a.constrain(c.c2p(t.med,!0),Math.min(M,A)+1,Math.max(M,A)-1),E=void 0===t.lf||!1===r.boxpoints,C=c.c2p(E?t.min:t.lf,!0),L=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+M+\",\"+i+\"V\"+y+(m?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+I+\",\"+y:\"\")+\"H\"+A+\"V\"+i+(m?\"H\"+I+\"L\"+S+\",\"+T+\"L\"+P+\",\"+i:\"\")+\"ZM\"+M+\",\"+x+\"H\"+C+\"M\"+A+\",\"+x+\"H\"+L+(0===g?\"\":\"M\"+C+\",\"+_+\"V\"+w+\"M\"+L+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+i+\",\"+M+\"H\"+y+(m?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+y+\",\"+I:\"\")+\"V\"+A+\"H\"+i+(m?\"V\"+I+\"L\"+T+\",\"+S+\"L\"+i+\",\"+P:\"\")+\"ZM\"+x+\",\"+M+\"V\"+C+\"M\"+x+\",\"+A+\"V\"+L+(0===g?\"\":\"M\"+_+\",\"+C+\"H\"+w+\"M\"+_+\",\"+L+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;a.seedPseudoRandom();var h=t.selectAll(\"g.points\").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);h.enter().append(\"g\").attr(\"class\",\"points\"),h.exit().remove();var f=h.selectAll(\"path\").data((function(t){var e,n,i=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(i.length),e=0;e<i.length;e++)f[e]=1;else for(e=0;e<i.length;e++){var d=Math.max(0,e-5),g=i[d].v,m=Math.min(i.length-1,e+5),v=i[m].v;\"all\"!==u&&(i[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=a.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<i.length;e++){var x=i[e],b=x.v,_=r.jitter?n*f[e]*(a.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return i}));f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i.translatePoints,o,s)}function l(t,e,r,i){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,h=i.bPos,f=i.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?a.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+h,!0),a=c.l2p(e-o)+f,i=c.l2p(e+s)+f,d=u?(a+i)/2:c.l2p(e)+f,g=l.c2p(t.mean,!0),m=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+g+\",\"+a+\"V\"+i+(\"sd\"===p?\"m0,0L\"+m+\",\"+d+\"L\"+g+\",\"+a+\"L\"+v+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+a+\",\"+g+\"H\"+i+(\"sd\"===p?\"m0,0L\"+d+\",\"+m+\"L\"+a+\",\"+g+\"L\"+d+\",\"+v+\"Z\":\"\"))}))}e.exports={plot:function(t,e,r,i){var c=e.xaxis,u=e.yaxis;a.makeTraceGroups(i,r,\"trace 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n=t(\"d3\");e.exports=function(t){n.select(t).selectAll(\".im image\").style(\"opacity\",(function(t){return t[0].trace.opacity}))}},{d3:169}],1084:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,a=t(\"../../lib/extend\").extendDeep,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../constants/delta.js\"),f=(t(\"../../constants/docs\").FORMAT_LINK,o({editType:\"plot\",colorEditType:\"plot\"})),p={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},d={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},g=u(\"step\",a({},p,{range:d}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:n({},f,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:n({},f,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\"},increasing:{symbol:{valType:\"string\",dflt:h.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:h.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:n({},f,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:a({},p,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:i({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\"plot\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":614,\"../../constants/delta.js\":718,\"../../constants/docs\":719,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1085:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../../plot_api/plot_template\"),s=t(\"../../plots/array_container_defaults\"),l=t(\"./constants.js\"),c=t(\"../../plots/cartesian/tick_value_defaults\"),u=t(\"../../plots/cartesian/tick_mark_defaults\"),h=t(\"../../plots/cartesian/tick_label_defaults\");function f(t,e){function r(r,i){return n.coerce(t,e,a.gauge.steps,r,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}i(e,p,d),d(\"mode\"),e._hasNumber=-1!==e.mode.indexOf(\"number\"),e._hasDelta=-1!==e.mode.indexOf(\"delta\"),e._hasGauge=-1!==e.mode.indexOf(\"gauge\");var g=d(\"value\");e._range=[0,\"number\"==typeof g?1.5*g:1];var m,v,y,x,b,_,w=new Array(2);function T(t,e){return n.coerce(y,x,a.gauge,t,e)}function k(t,e){return 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h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function T(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||\"center\";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),C=[];f._hasNumber&&C.push(\"number\");f._hasDelta&&(C.push(\"delta\"),\"left\"===f.delta.position&&C.reverse());var L=E.selectAll(\"text\").data(C);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(v)||r(a).slice(-1).match(v))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append(\"text\"),L.attr(\"text-anchor\",(function(){return M})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return O(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:k,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return O(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:k,transFn:c,labelFns:I})}var R=[m].concat(f.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(x),F.exit().remove();var B=C(f.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return z?g.right:g[C.title.align]})).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr(\"transform\",(function(){var t,e=D.l+D.w*m[C.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(I)if(C.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=C._numbersTop-r-n.bottom;return _(e,t)}))}))}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../constants/alignment\":717,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/cartesian/axes\":797,\"../../plots/cartesian/axis_defaults\":799,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/cartesian/position_defaults\":814,\"./constants\":1087,d3:169}],1091:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:i.opacity,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../mesh3d/attributes\":1096}],1092:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),a=t(\"../streamtube/calc\").processGrid,i=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=i(e.x,e._len),e._y=i(e.y,e._len),e._z=i(e.z,e._len),e._value=i(e.value,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},a.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:i({editType:\"calc\"}),tickfont:i({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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s=o[0];a(t,s,r,i)}},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcats\"),i=e._has&&e._has(\"parcats\");a&&!i&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":834,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,g,m=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},a=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(a(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=h(S,E.color,E.rawColor)),f(M[C],x,d)}var L,P=r.map((function(t,e){return function(t,e,r,n,a){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:a,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,z=m[b].inds[x],O=P[b].categories;if(void 0===O[z]){var D=e.dimensions[I]._categoryarray[z],R=e.dimensions[I]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,M,g))}},{\"../../components/colorscale/calc\":623,\"../../components/colorscale/helpers\":626,\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/filter_unique.js\":740,\"../../lib/gup\":746,\"fast-isnumeric\":241}],1113:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,a){return n.coerce(t,e,l.dimensions,r,a)}var a=r(\"values\"),i=r(\"visible\");if(a&&a.length||(i=e.visible=!1),i){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,h){function f(r,a){return n.coerce(t,e,l,r,a)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,h,f);o(e,h,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),f(\"hoveron\"),f(\"hovertemplate\"),f(\"arrangement\"),f(\"bundlecolors\"),f(\"sortpaths\"),f(\"counts\");var g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,\"labelfont\",g);var m={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/domain\":824,\"../parcoords/merge_length\":1126,\"./attributes\":1110}],1114:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1110,\"./base_plot\":1111,\"./calc\":1112,\"./defaults\":1113,\"./plot\":1116}],1115:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plot_api/plot_api\"),i=t(\"../../components/fx\"),o=t(\"../../lib\"),s=t(\"../../components/drawing\"),l=t(\"tinycolor2\"),c=t(\"../../lib/svg_text_utils\");function u(t,e,r,a){var i=t.map(D.bind(0,e,r)),l=a.selectAll(\"g.parcatslayer\").data([null]);l.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=l.selectAll(\"g.trace.parcats\").data(i,h),m=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", \"+t.y+\")\"})),m.append(\"g\").attr(\"class\",\"paths\");var v=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);v.attr(\"fill\",(function(t){return t.model.color}));var b=v.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);x(b),v.attr(\"d\",(function(t){return t.svgD})),b.empty()||v.sort(p),v.exit().remove(),v.on(\"mouseover\",d).on(\"mouseout\",g).on(\"click\",y),m.append(\"g\").attr(\"class\",\"dimensions\");var T=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);T.enter().append(\"g\").attr(\"class\",\"dimension\"),T.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),T.exit().remove();var k=T.selectAll(\"g.category\").data((function(t){return t.categories}),h),M=k.enter().append(\"g\").attr(\"class\",\"category\");k.attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),k.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),_(M);var A=k.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);A.each((function(){o.raiseToTop(this)})),A.attr(\"fill\",(function(t){return t.color}));var I=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);A.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),w(I),A.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;k.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",z+\" -1px  1px 2px, \"+z+\" 1px  1px 2px, \"+z+\"  1px -1px 2px, \"+z+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return f(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),k.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),b(n.select(this));var e=m(t),r=v(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var a,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];a=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plot_api/plot_api\":784,d3:169,tinycolor2:548}],1116:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1115}],1117:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1118:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return 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T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":749,\"../../lib/gup\":746,\"./constants\":1121,d3:169}],1119:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":725,\"../../plots/get_data\":834,\"./plot\":1128,d3:169}],1120:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gup\":746}],1121:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../../plots/domain\":824,\"./attributes\":1117,\"./axisbrush\":1118,\"./constants\":1121,\"./merge_length\":1126}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":749}],1124:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1117,\"./base_plot\":1119,\"./calc\":1120,\"./defaults\":1122,\"./plot\":1128}],1125:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var 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t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(i));s[e].sort(n),l[e].filter((function(t){return!i(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":762,\"./helpers\":1123,\"./parcoords\":1127}],1129:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:a({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":614,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/domain\":824,\"../../plots/font_attributes\":825,\"../../plots/template_attributes\":875}],1130:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":860}],1131:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":615,\"fast-isnumeric\":241,tinycolor2:548}],1132:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":749,\"../../plots/domain\":824,\"../bar/defaults\":894,\"./attributes\":1129,\"fast-isnumeric\":241}],1133:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":651}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":749}],1135:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1129,\"./base_plot\":1130,\"./calc\":1131,\"./defaults\":1132,\"./layout_attributes\":1136,\"./layout_defaults\":1137,\"./plot\":1138,\"./style\":1139,\"./style_one\":1140}],1136:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1137:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":749,\"./layout_attributes\":1136}],1138:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(g,p),x&&p.automargin){var w=s.bBox(u.node()),T=p.domain,k=i.w*(T.x[1]-T.x[0]),M=i.h*(T.y[1]-T.y[0]),A=(.5*k-f.r)/i.w,C=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:T.x[0]-A,xr:T.x[1]+A,yb:T.y[0]-C,yt:T.y[1]+C,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}}))}));setTimeout((function(){u.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:v,computeTransform:O}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/plots\":860,\"../bar/constants\":892,\"../bar/uniform_text\":906,\"./event_data\":1133,\"./helpers\":1134,d3:169}],1139:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":906,\"./style_one\":1140,d3:169}],1140:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":615,\"./helpers\":1134}],1141:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1155}],1142:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),k(t.filter(B(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),k(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],a=0;a<t.graph.nodes.length;a++){var i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}v.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var f=t._fullLayout._dragCover,m=r.filter((function(t){return g(t).trace.visible})).map(y.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(m,p);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",S),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",S);var T=v.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);T.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=T.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(x.bind(null,t))}),p);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(O,v,c.linkEvents),k.style(\"stroke\",(function(t){return A(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return A(t)?t.linkLineWidth:1})).attr(\"d\",b()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||f?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var R=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(d,p);R.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(_.bind(null,t))}),p);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(w).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(O,v,c.nodeEvents).call(D,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(w).style(\"opacity\",(function(t){return 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i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1182}],1187:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155}],1189:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":749,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/line_shape_defaults\":1170,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1188}],1191:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1192:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1193:[function(t,e,r){\"use 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strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/marker_colorbar\":1173,\"../scatter/select\":1176,\"../scatter/style\":1178,\"./attributes\":1188,\"./calc\":1189,\"./defaults\":1190,\"./event_data\":1191,\"./format_labels\":1192,\"./hover\":1193,\"./plot\":1195}],1195:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":637,\"../../plots/cartesian/axes\":797,\"../scatter/plot\":1175}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}var f,p=h(\"locations\");if(p&&p.length){var d,g=h(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",d)&&h(\"featureidkey\"),f=p.length}else{var m=h(\"lon\")||[],v=h(\"lat\")||[];f=Math.min(m.length,v.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":749,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1196}],1199:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1200:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":655,\"../../constants/numerical\":724,\"../../lib\":749,\"../scatter/get_trace_color\":1165,\"./attributes\":1196}],1202:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../scatter/attributes\":1155,\"./constants\":1208}],1207:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,m=0,v=0;m<h;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-a.c2l(T),p[v+u[1]]=a.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":637,\"../../components/fx/helpers\":651,\"../../constants/interactions\":723,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../plots/cartesian/axis_ids\":800,\"../../registry\":880,\"../scatter/make_bubble_size_func\":1172,\"../scatter/subtypes\":1179,\"./constants\":1208,\"./helpers\":1213,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":546}],1210:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var m=!!t.marker&&i.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",m||v?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"../scatter/xy_defaults\":1181,\"./attributes\":1206,\"./helpers\":1213}],1211:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":615,\"../../constants/interactions\":723,\"../../lib\":749}],1212:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1164}],1213:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1208}],1214:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?k.text=f.htx:f.tx?k.text=f.tx:o.text&&(k.text=o.text),a.fillText(f,o,k),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,k),k}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/get_trace_color\":1165}],1215:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/cross_trace_defaults\":1161,\"../scatter/marker_colorbar\":1173,\"./attributes\":1206,\"./calc\":1207,\"./defaults\":1210,\"./format_labels\":1212,\"./hover\":1214,\"./plot\":1216,\"./select\":1218}],1216:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(T.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,P=L.index,I=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=L.xpx=new Array(I),N=L.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":633,\"../../lib\":749,\"../../lib/prepare_regl\":762,\"../scatter/link_traces\":1171,\"../scatter/subtypes\":1179,\"./edit_style\":1211,\"gl-text\":326,\"regl-error2d\":508,\"regl-line2d\":509,\"regl-scatter2d\":510}],1217:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/mapbox/layout_attributes\":856,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155,\"../scattergeo/attributes\":1196}],1220:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../bar/style\":904,\"../bar/uniform_text\":906,\"../pie/plot\":1138,\"./constants\":1269,\"./fx\":1271,\"./helpers\":1272,\"./style\":1277,d3:169,\"d3-hierarchy\":161}],1277:[function(t,e,r){\"use 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},a.zauto,{}),zmin:s({},a.zmin,{}),zmax:s({},a.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":615,\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875}],1279:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1280:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var a=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},p.getYat=function(t,e,r,n){var a=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},p.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<d.length;i++)a*=Math.pow(d[i],Math.max(r[i],n[i]));return a}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var a=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(a,[l,c],n),t.set(l,c,i(e,a[0],a[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],i=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+i+1,u=a(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f<t.length;++f){this.surface.padField(u,t[f]);var p=a(new Float32Array(o*s),[o,s]);T(p,u,h),t[f]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,i,l=this.scene,f=l.fullSceneLayout,p=this.surface,d=t.opacity,g=c(t,d),m=l.dataScale,v=t.z[0].length,y=t._ylength,x=l.contourLevels;this.data=t;var b=[];for(e=0;e<3;e++)for(b[e]=[],r=0;r<v;r++)b[e][r]=[];for(r=0;r<v;r++)for(n=0;n<y;n++)b[0][r][n]=this.getXat(r,n,t.xcalendar,f.xaxis),b[1][r][n]=this.getYat(r,n,t.ycalendar,f.yaxis),b[2][r][n]=this.getZat(r,n,t.zcalendar,f.zaxis);if(t.connectgaps)for(t._emptypoints=s(b[2]),o(b[2],t._emptypoints),t._interpolatedZ=[],r=0;r<v;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=b[2][r][n];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null==(i=b[e][r][n])?b[e][r][n]=NaN:i=b[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(b[e][r][n]-=this.objectOffset[e]);var w=[a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y])];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)w[e].set(r,n,b[e][r][n]);b=[];var T={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},k=h(t);if(T.intensityBounds=[k.min,k.max],t.surfacecolor){var M=a(new Float32Array(v*y),[v,y]);for(r=0;r<v;r++)for(n=0;n<y;n++)M.set(r,n,t.surfacecolor[n][r]);w.push(M)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(_<w[0].shape[0]||_<w[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&&(T.intensity=w.pop());var A=[!0,!0,!0],S=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var E=t.contours[S[e]];A[e]=E.highlight,T.showContour[e]=E.show||E.highlight,T.showContour[e]&&(T.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,T.levels[e]=x[e],p.highlightColor[e]=T.contourColor[e]=u(E.color),E.usecolormap?p.highlightTint[e]=T.contourTint[e]=0:p.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=E.width,this.contourStart[e]=E.start,this.contourEnd[e]=E.end,this.contourSize[e]=E.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),E.highlight&&(T.dynamicColor[e]=u(E.highlightcolor),T.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(g)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=w,p.update(T),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),d&&d<1&&(p.supportsTransparency=!0)},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new f(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../heatmap/find_empties\":1040,\"../heatmap/interp2d\":1043,\"gl-surface3d\":325,ndarray:469,\"ndarray-linear-interpolate\":463}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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h={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(h).call(a.stroke,c.color),o.selectAll(\"path.meanline\").style(h).call(a.stroke,c.color),i(o,r,t)}))}},{\"../../components/color\":615,\"../scatter/style\":1178,d3:169}],1316:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../isosurface/attributes\"),i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:a.x,y:a.y,z:a.z,value:a.value,isomin:a.isomin,isomax:a.isomax,surface:a.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:a.slices,caps:a.caps,text:a.text,hovertext:a.hovertext,hovertemplate:a.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:a.colorbar,opacity:a.opacity,opacityscale:i.opacityscale,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
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-       "\n",
-       "// Listen for the removal of the full notebook cells\n",
-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
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-   "source": [
-    "# NBVAL_IGNORE_OUTPUT\n",
-    "# Visualize the filter\n",
-    "# these visualiztions can take up a lot of memory\n",
-    "# so just look at small subset of the data for this example\n",
-    "rdtools.tune_filter_plot(ta_new_filter.pv_energy['2013/01/01':'2013/01/21'],\n",
-    "                         ta_new_filter.sensor_filter['2013/01/01':'2013/01/21'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Visualize the results\n",
-    "ta_new_filter.plot_degradation_summary('sensor', summary_title='Sensor-based degradation results',\n",
-    "                                   scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "                                   hist_xmin=-30, hist_xmax=45);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Using externally calculated filters\n",
-    "Arbitrary filters can also be used by setting the `ad_hoc_filter` key of the `TrendAnalysis.filter_params` atribute to a boolean pandas series that can be used as a filter. In this example we filter for \"stuck\" values, i.e. values that are repeated consecuatively, which can be associated with faulty measurments."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def filter_stuck_values(pandas_series):\n",
-    "    '''\n",
-    "    Returns a boolean pd.Series which filters out sequentially\n",
-    "    repeated values from pandas_series'\n",
-    "    '''\n",
-    "    diff = pandas_series.diff()\n",
-    "    diff_shift = diff.shift(-1)\n",
-    "    \n",
-    "    stuck_filter = ~((diff == 0) | (diff_shift == 0))\n",
-    "    \n",
-    "    return stuck_filter"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Instantiate a new instance of TrendAnalysis\n",
-    "ta_stuck_filter = rdtools.TrendAnalysis(df['power'], df['poa'], \n",
-    "                                        temperature_ambient=df['Tamb'],\n",
-    "                                        gamma_pdc=meta['gamma_pdc'],\n",
-    "                                        interp_freq=freq,\n",
-    "                                        windspeed=df['wind_speed'],\n",
-    "                                        temperature_model=meta['temp_model_params'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stuck_filter =  (\n",
-    "                  filter_stuck_values(df['power']) & \n",
-    "                  filter_stuck_values(df['poa']) &\n",
-    "                  filter_stuck_values(df['Tamb']) &\n",
-    "                  filter_stuck_values(df['wind_speed'])\n",
-    "                 )\n",
-    "\n",
-    "# reindex onto the same index that will be used for the other filters\n",
-    "stuck_filter = stuck_filter.reindex(ta_stuck_filter.poa_global.index, fill_value=True)\n",
-    "\n",
-    "ta_stuck_filter.filter_params['ad_hoc_filter'] = stuck_filter"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ta_stuck_filter.sensor_analysis()\n",
-    "\n",
-    "# Visualize the results\n",
-    "ta_stuck_filter.plot_degradation_summary('sensor', summary_title='Sensor-based degradation results',\n",
-    "                                         scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "                                         hist_xmin=-30, hist_xmax=45);"
-   ]
-  }
- ],
- "metadata": {
-  "anaconda-cloud": {},
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/degradation_and_soiling_example.ipynb b/docs/degradation_and_soiling_example.ipynb
index e8ab9dea4..1d4b23f43 100644
--- a/docs/degradation_and_soiling_example.ipynb
+++ b/docs/degradation_and_soiling_example.ipynb
@@ -4,29 +4,25 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Degradation and soiling example with clearsky workflow\n",
+    "# Degradation and soiling example\n",
     "\n",
     "\n",
-    "This juypter notebook is intended to the RdTools analysis workflow.  In addition, the notebook demonstrates the effects of changes in the workflow. For a consistent experience, we recommend installing the specific versions of packages used to develop this notebook. This can be achieved in your environment by running `pip install -r requirements.txt` followed by `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) These environments and examples are tested with Python 3.10.\n",
+    "This jupyter notebook is intended to the RdTools trend analysis workflow using the functional API.  In addition, the notebook demonstrates the effects of changes in the workflow. For a consistent experience, we recommend installing the specific versions of packages used to develop this notebook. This can be achieved in your environment by running `pip install -r requirements.txt` followed by `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) These environments and examples are tested with Python 3.12.\n",
     "\n",
     "The calculations consist of several steps illustrated here:\n",
     "<ol start=\"0\">\n",
     "  <li><b>Import and preliminary calculations</b></li>\n",
     "  <li><b>Normalize</b> data using a performance metric</li>\n",
-    "  <li><b>Filter</b> data that creates bias</li>\n",
+    "  <li><b>Filter</b> data to reduce error</li>\n",
     "  <li><b>Aggregate data</b></li>\n",
+    "  <li><b>Post-aggregation filter</b></li>  \n",
     "  <li> <b>Analyze</b> aggregated data to estimate the degradation rate</li>\n",
     "  <li> <b>Analyze</b> aggregated data to estimate the soiling loss</li>\n",
     "</ol>\n",
     "\n",
-    "After demonstrating these steps using sensor data, a modified version of the workflow is illustrated using modled clear sky irradiance and temperature. The results from the two methods are compared\n",
+    "Earlier versions of this notebook (RdTools<3.0) included a clear sky workflow in order to check the results for bias from sensor drift. With the wide availability of satellite data, we now recommend repeating the analysis with satellite data to double check the sensor-based result. This is illustrated using the object-oriented API in `TrendAnalysis_example_NSRDB.ipynb`\n",
     "\n",
-    "This notebook works with public data from the the Desert Knowledge Australia Solar Centre. Please download the site data from Site 12, and unzip the csv file in the folder:\n",
-    "./rdtools/docs/\n",
-    "\n",
-    "Note this example was run with data downloaded on Sept. 28, 2018. An older version of the data gave different sensor-based results. If you have an older version of the data and are getting different results, please try redownloading the data.\n",
-    "\n",
-    "http://dkasolarcentre.com.au/download?location=alice-springs"
+    "This notebook works with data from the NREL PVDAQ `[4] NREL x-Si #1` system.  Note that because this system does not experience significant soiling, the dataset contains a synthesized soiling signal for use in the soiling section of the example.  This notebook automatically downloads and locally caches the dataset used in this example. The data can also be found on the DuraMAT Datahub (https://datahub.duramat.org/dataset/pvdaq-time-series-with-soiling-signal)."
    ]
   },
   {
@@ -35,7 +31,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from datetime import timedelta\n",
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
@@ -79,13 +74,13 @@
     "## 0: Import and preliminary calculations\n",
     "\n",
     "\n",
-    "This section prepares the data necesary for an `rdtools` calculation. The first step of the `rdtools` workflow is normaliztion, which requires a time series of energy yield, a time series of cell temperature, and a time series of irradiance, along with some metadata (see Step 1: Normalize)\n",
+    "This section prepares the data necessary for an `rdtools` calculation. The first step of the `rdtools` workflow is normalization, which requires a time series of energy yield, a time series of cell temperature, and a time series of irradiance, along with some metadata (see Step 1: Normalize)\n",
     "\n",
-    "The following section loads the data, adjusts units where needed, and renames the critical columns. The irradiance sensor data source is transposed to plane-of-array, and the temperature sensor data source is converted into estimated cell temperature.\n",
+    "The following section loads the data, adjusts units where needed, and renames the critical columns. The ambient temperature sensor data source is converted into estimated cell temperature.  This dataset already has plane-of-array irradiance data, so no transposition is necessary.\n",
     "\n",
     "A common challenge is handling datasets with and without daylight savings time. Make sure to specify a `pytz` timezone that does or does not include daylight savings time as appropriate for your dataset.\n",
     "\n",
-    "<b>The steps of this section may change depending on your data source or the system being considered. Note that nothing in this first section utlizes the `rdtools` library.</b> Transposition of irradiance and modeling of cell temperature are generally outside the scope of `rdtools`. A variety of tools for these calculations are avaialble in [pvlib](https://github.com/pvlib/pvlib-python)."
+    "<b>The steps of this section may change depending on your data source or the system being considered.</b>  Transposition of irradiance and modeling of cell temperature are generally outside the scope of `rdtools`. A variety of tools for these calculations are available in [pvlib](https://github.com/pvlib/pvlib-python)."
    ]
   },
   {
@@ -95,7 +90,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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U4lOnTvG+971vFxusplveeuut3HPPPVd76CculCYMZHHOBPzFLu5eimu90B3qihZUZeW4lYVgLnxz2HDEfi1WaivLcvljBFqRhIrSQpZXWF2BqWg1IyKtpgp0HloxDZkZO3ttfizOzejISl1aAV8ufLA3AauV/B9q2rOZeiqgRSjgpp+/EuFyOQFxqcR8LdMKA1o58grSyF0ziz0MNFofTL6ow5a1iSrKV8jg0SXOYyw4RLkcVhHut/6vRaL6ct+v57iyM6UzvTd7KPBXm6tUOIz/rlJK1pY+eG3Mn2cagVCPnizwaHBopfKxj31slxI5e/YszolV9uVf/uX8l//yX6ZtWm699dbrOeYvWswLLK0AVcdp5cX9ksP1oiqN0DKvZEHVG7H+uVLM52aUH5dW8negRcBcLvQRKId1iqrI6OaalTAnjmOCEO+hXZw7SCMtHt2ckJtXZrWykc0/G+t+01IZS2GAAOJ9BJoxZmqB1x7ivHWqND6/4l9nlt+Zn6PDCJf5z86/tvd71lpKHyqNQw3emLAOQmUZlzJe666OqDA/Do1YzbXlHId6qqhhdu/reamHrtXu3/tBwjtQVnIe5yBWVxY22y9RPc9EuxKlejljajrHGmRlztr3OORaHBfXMh0GM9ajHFkrCSlWFjQapQOstRRzOVen2BW1MO6yp/m84NBK5TnPeQ4AaZrylV/5lXznd34n99xzD3fffTcrKyvXbYBPJCildimEemFOQxvIoq3ZNgZFoJxQb7lYAF/OSg4DjVIHr8TLfb/eZPPektaaYM5DOGiT1t8b5CJMerkiTBT9HMLSUZYVuVE0Y00zCUHNQkpRGGCdwVhHVlRoLWGn0iqSUDZdHR7Tc57KfiiNCIYSiPcxqeeL+/YKUoWEKueVlwhWtUuoHtZ6nrd21SXGXVmmYdHKQjR3D40TdppxEF+hQtlLFKnHXlnISkvNsUtjfdG9D7RCae09tpnCuJRMr5PbBAqzn5KY++78WqzzWKGWNbx3ng5D773U2r4Uq1EjRpCMdWbs4ex0zVWWufuo9z323shCPZdFNQt71ccZF5alRkAxR0IJ5+d5utbcodfa9cShlcrP//zPc8899/D85z+fKDrIoV3g0WI+EVy3wFA4Aq2msfJAK7LSEgUK5xWRc2JBzi+oy23QOjZcb+aLLOLLWNn1gjZGajfioI4nX75ORSsoLcTa0s+gERgqHM1YkYYwziFyohxCA3G4u+lkzfiqrCPWtTAVgY5SxIdc2YFy5BaSA5hiSajmFBTempS8RaDc1EKtrEPjvNfnKA2E2ivZQ27y+fkOdS3AxIqfz5sEymFxWOewpmJU6V1tUpRSU8V0WDjnyErxfpxWJJG/Tzg04qlEgQJfirr33msnSsda8Wzg8pTw+hgKDV4x117PXsE4Pzfz/7+cd3GYsNF8KK3OmQVa7RvCrYV/aWuPRfZc4dPHNRtufszzY6k9auPkeuvz1/tBIWsnUA6cpTKQ+EGE/vNJKGt8fo5qA6P2mva7/s8XU+7QSuWHf/iHr+c4FvCwbmZpZblY67G2oLzSCBVKBdPFl/g7uF9F+UFWcr1xKmPF8kFCSns9ncvGmL1lK0lZBQ6i0B1Yp7K3cjrUDhVELKWWoUmJo5DlSITjkYahcJAEbmr91uMwxlBWBmstCkdWaNlohD4kIfMXBRIKu5TVOh+2mL42H6fXmgg3fT/QirKSa6msmQq5OJBjKQ2Vt2DrePiVwFpL5XYLh715kzr3ppRjlJVoDdZYokihbEVhA8IIrqRxSm1kFObi6njjZH3UinvXez53kpUWHWgq42goS1FWGKdoJ3rmxu1BPc/G+EJXuMhTnwrEOS8u1Ow7zmlOwRoKo3wIMJhe3/y11mt7PoRV30trLaVRNCJ10RzWwn8W8qo1kqXwYdIoDPbtMjB/3jqENp8njQKojCZQlkkJcaBpBpo49F6r1mj2EAG8wVFfy0wmzHlRfH4o7zUOteT/8A//cBqKuRI45/jDP/zDK/7eExl1zsQ5h7V2ygSx1lJUdnofarqhhJv2b1FyqfYlxjqyvGCzn5PlxS72yt7v15/fuwZqq8w4NfUe9jnMVNDPs9jqIsUkEGsfU9AZFozzijjUlEQ0kxAdhBdX4Rs5Rm4UlZPwx7icCZV6XM4XQxaVzN9+mG/3UmN+I1bGMikMeWmmuYWiKBhMSqqqwlhHXhomhZneL4Wv9L9ChaKVUHfrn/kQWr0mnBMLth4PtmKUi5INtGJYyL2alLPrqddQZeyB+7hWoGmkL2qXM69s3B7Dwxi59iLP6I8LqlLWUmF82Kw6+Hpr4yYrKiaFXEP9Wm0Y1GOoBbh4oloo90hey1orHRYqQ1FZJqV4GqVV07WncLvms17b84q7zi1KgatEBur5m18je/NFtQciykh+7zff0/BtcPB+jQPIK/EOy8oI07GswNlda6HuJlHPkSgUt4uZtt9YPx841LJ//etfzzOf+Ux+4Rd+gRMnTlz28w8++CA/93M/xzOe8Qze8IY3POpBPpEgeRVNGGiiMCAK1NSCmt8EWsnfV7NY6u9MCkNvlHO+mzHJywMFzq7NPbfBaqGZhp4Wqi9WIDATCPOhr6KSTTPIDBrL2a0h57d6nLnQJS9KtKvICtlQdf1OfX5sxTCrCFwpIcKywpmSYVZhzB5hzG7hsRf7KZV5QVQZUUqVEcFVVJZ+Jv83bqZ063vkEEUvbCl94Dn2HQuKqqrojivyotxlFMwL2Zq1VyvQWrBWxhIgyiZQu5Xk/M9+qJPwYaCnlnBtzNTkiL3MLOfDk1pBZsSTrpwWGriS+6tseaBSnw83Tcc5ZwTsuo/WK24j9zgvDVUla6NeH5Ifc9NrjwN23b/9jKy9iiYMRLHWIcR6XPPzCLufTFqvy9r4GGYVWWnJSrtrvufPP3/MeVjE666ceIYOxbicFfVaJ5GBspJz4ex0bSgceTUzRut5/Xz1xatxqPDXww8/zK/8yq/wS7/0S7zxjW/k9ttv57nPfS5PfepTOXLkCM45Op0OJ06c4EMf+hCnT5/m6NGjvO51r1solavANOyEZZQ7IiqMDYhCwFqyUhFp55OUDlOZqUs9n9CusTeuWiuoqiw4uzEgVI6lRNFM433DD/O1D/PJycD3fcrLgDAA560lfA6oPlYdutBYKqtmljeKyWTC+YFis9+hUzUY6IzW8grH2iFhFEtoKbRAMEscO00cGHqZoxVbQDEuLFFoCDU05hIkdcLzIK9hv/DXRYLDGgqrfIhNC8OqgqVYrM5Cy9xEgeRZisr6kF1wSZr1RffFVGz2JsLe0hGrS7vHWofGArXb6nZupuDiOCZ0EHg6c51n28UqPACzRDS72q+Iwtm9LmpFp7FkhRWPUzmiQARyEAREDrLKEERCxkgOuAeS13IE4cH5ktLKfcrNbD2ZqgItIdLaAJNcV0AQyD7IK0l2VBb2ezbtfjkZpRQ4Q1ZCErpdHQJEkYq3aJ1cUK2ERckIg6tyEKqD5/ug0HKoodKahnaUpWVnWACQBgmBTlBKUZpZKFCu198X30Jo6sFdIux7PXEopdJqtfixH/sxfvRHf5S/+Iu/4M///M+59957+dM//dNd4ZinP/3pfM3XfA3f8i3fwjd90zctEvpXiVrQTSpZ3FvDgspYyTk0QtpNjTEQaLHmB5khjTRpHBJH6qIaCWsliVq/LtagY6c/5pMPPcIkcaS64OZjK7vGMRWurrb2D9gMPp4caRE2hYFGJC1U5mPmpc+plA7iQBE5y2a/YDxx9IcZPevIgzHd3hitmhxZikgipsWEtTWmsYwLCf10RqKsCgOrrRjnNOVcw8e92+mixKWtGGaw1gCIRWj44spQiWCdlI6lVE8rxp1n3eUVWMxUSQuBwkhuBUUw1yPMOqEe7ze/dbx7mFVsdEYMc1iOG7vHbC3jvBLPKFCo2njwcfR25GaUbmMonLwfR+FFrMID152TUFRtACgdYJ0j1I6sYlqUC74WppTi2eFwyM7YcUMrI1pZFs/R08EPE36ZtnqxEGvJcUR6pthCLWsrq0SBTApDVjrKoiCIFGEdClYB2tb1Ms6303GMS0iuQBRZB8NJwbCAlVSx0m5MBbd1EAWQl57B5YThpbWmEct1xgFUhSUroWkMYTgTs5fzIGqPsfaEO8OcwUQ8kycf06BDNBathPE4HQOi6KRmapYfvVp69aPBFRU/hmHIt37rt/Kt3/qtgCzenZ0dANbW1q7rQ3qeCJhPNOaVw1YF41xc9+GkohyUjJsBR42jmYTT6vL+xJCXsxxLnUytrZWqMlg83TPQlJVhmFm2ehM+dXaEasAt8RYvfO6X7hpHTXucTyruy7ZRmihwYqFVxltKmsCHBeqaEpwlK2WBh0pqTUyZ08vAuQJjI6qqYJznrJaasgwxkRIlkvuQhnc5rJXwAs6y2c8oSkNRNlhKlyR5XzrSaGbx1knzvYK8Ny7pTaT4s92S14vKihDFoHRAqCx5pWnGksDNS8P2IMdZQxIFtJspoZL8T2Xs1Ft0np019g0zldot2fYq6OFozJntIUHgGOXx1COwTkI7pZlj7TFLWEvyWE3ptZPCYJxDK0scHY4BVNNZx7kk2ENlieOASEuMv87hNBNHEgVTBTTOK06e79LNodOxPEPHDLOQ1YZGB/GUuTT1qPYI1DqHP7Xy5+5PVlTTGqE4Cj2jz+Gwwirz5JV67BoreRRnyIymEaldCivac70HzYlWsLnT49S25UlHFEvNZBr6Ey9pJswr471BX8CZhmIEFcYSam+QzEnZ+RDafGftGjWBpjKWSV6y3RmxPcwwRZOVVsLqUkRh6hwm03FVRth7EjqchdDqXmyHebzAtcJVV9SDsHRuuOGGazWWJzwqI4m+SZYzzC3DUcYwt9gyZzwpGGU5RZFS5RPGJqQRKZYSmLiEoKHRKt6Xxljz2uu8QmUhz3M6wyFbWxC1oLvWw1pLEAS7YrTab/66AHO/kJjGMiodsbbT+onSOOLQYp0kH4Uxo7DWMCpFGZaVYaufUTpNf1TRJyOsHHlVsr6Vsd413HZDQjM9hnOSgG3Fikle0h8XGGNIQsVmZ4dzY8uXm5zyxmWUD0+URjZ76TRpCKAvEuRbO11O7IBdgyfdsDJj4/iAmMZSOc1KJJu0rCRevr0zYFBYGkHF6pFjjHrbdE2bW9oVR9aOEnovLTezsE20j4CfFyrb/QndwZgwdYTqiMTM8crHWk8T9mulqhiWlnwyZifT0FSYtoRH6gxSfc8OEwqZCjql0EBelIxLWE5k3QwmJcqZqSVdGZ8QV47Nzjaf7RfcmlSsLi9zZDlFEdJuOnLniLWjBCLFrtxQ4G9GoBXa7VaySsl9HhbgopmH5MAn6R2RCrBKURQ5wwLSwNJupmSVIo0kFFZW0gVbRdCYc1f2GhfzUEpxbnPA6YGFCp7xlJumLL76kQvIPxmvldySseK9JqHktBRMmYs1LhWKrL3k3ljym3lRMsozznW2ycohS81ZnrVuODuNFCFEhVFusaZiQCC5oTggDOcM1s9DOOxRKZUFri0qYxnnhu1+RmeY0+lnpFFAEEZoVfHZk+fIGiErRUaWLHN8OeB4s0kQHyUGHEueISTHq6tt61YodUw70o7znTHbw5wMGI7gbEess5tuWJPwmOfKx1oEyMxjkQVZtwPJSifV3U4YR61EUxjvwnsKaklAGkBRiiDCWfIKuoOM850+40CxNYBhlGNGsD0aMRgOabZLStPglmPLwgJDNu0kL9nqZWhnOLIUs77T4/S4JLET/vUzb6GslLeqFRaxbfMKtFd689ZaZyQhg85odh+iwNemaOiOS/LSoFzI0SVFUVYMR2NO73RwOHZMRRy3ObGzTZBa+n3Li44dpbSKCGG3jQpHOrex4eL6COug2xuyPhiw5BzjrGCrN6YwcLQdEQZarG1tcU6x3RtxoZvTH/RQQQNbJRxZlkLQeW9pyo6aezbNQXVDgVa0koDBOOdcJyMKS2jHJFEgeSEnFnReGqJAKLfd3LHZ7bPRt+gYnpFl6ECjTcakUqwmljiOp+eY/13Pg9aaEAVK5j6vxJsty5LBRIR2uxFTWqEJB2FAGDiKSg50YaTQ2mCNo92EVlzXmMzyHLCn2eg+xaW1J1VVFZv9PlsjyxEdSl2QJxBkRTX9rNYSDi1KS384pjNxHG0FuDik8mPd2/dsvwLnehyilMQrLI2j3x/Tywy90YCdPCOJY244ssSR5RahqouXZ/mcsiwZT0o6uXSlaDdimnFj+r54d9c/BLZQKo8zlJWhPxzz0OkdJsWYpTThSDtla5Dz0EaFalV8+BTES31uXoHnPCVnbW2J7kAEOT7UE/nQSRRAbmdtPLRnqez0R5zZ6LAODIHWKfjAJx/k33/NVwqV0SgS34dM+lmBcxCHasqwyUvpe1WVBaNS+WeiBMSBfCcKHEppQu0Tq0YS6VVlSeNQKNJhSFnkbO7ARgGugCNr29gBuKrDaizdbxuhCJsIS16UdHsjDCVR0GZne8D6BFbIGOWGKA4x3uuLtKMwohBLoyWnNCfQVxqwNYFU52z2c5qheCZaiZcxHGds9B1PXjOUrVS8lH5Bf5RRBLDkCjqTCd3eDsZENLCMcsNyQ0kit+7npnbnV6bhMQdZltHPoTMc0h1NyBysb3fpZVKXoG9ZYnWpORWQzTCgM8w51xmztb1F2l4lURXjfJk0DhnlBpQjCRVRtA/DaI9im7KwfIPRjc6Qc1sjGqFmrbnCOHeMx2P6o4Jjq5ZYJ5gwEnaYqTi3Y7mwBSaC7lOHpEnM5sDRXqqYKMcKM6LE/PXXgvDshW22xpovuSFALa8yGo1YLzT97QtcGDe49YhjZalFFEiYL9JilAQ+t+bKCetDx5NWQ6xNiSRbzWA04VwnJwkVS0lzGj50DpLo4qJUY50YLIOCvKywKiTS2hcg+27MxpIbRcPXY9U1K4PM0BtZYi01OjuZ5nhbYV0DO1cMCrNGmtNiXWbMRmdn9PDBKKffG3D/KUeyVLAcrvPUm45zw0oDpYKZ4s3MlPad24Buf8ywyDm+GnFsKaY0IXhiTPR5SKsslMrjCArHaJKz0Z1wdmeLbWt4iivJLXSGY3a2ITaQAWYCkwACMcVFgPsivXrDhsGsfkQxi+dmpcVZ6FeQ+3OfAT7w0CYveaFYooYA66v3rVZTSiPMrMs6tp2VlsooSi3MlCAIpgwdif572qmvWbBoTJmz3R1ix0O2uhM2h7CDlJrt9CGqwI5LdiYTRsMBo4lYqkEzxKKxIWQTwzi3FAq6XXjEwLmNHW570vFpTYdQgTWhtzYr8DknHxryXQs6wzEbvYxEG1ZaiVjFgWWYVeRZyVY/5MbVkiwv2Bn06BcT0kRjdchgPKY7qkiSCTpooF1FZ6xYa8r5uxNLM4IjSw2UmgmzOr9wZrPPua5js9slryBysNHpYYeK5abi+CQmSRKctSRJSBzAzvYF/uXkFtmw4hm3arJWiLOG4ahgY2C4oR1Q2XCWvJ9TLHtDgNbJWLqjglFuOLvRZ5gZgtTnvZyhP5EEeHfiyCc7bA4VsSoIwpC8BOvX5ZntDuiIG5qavGziIuvzHZDoQEgMqvZ4Hb1Rzn2fW2eiNPm4xVc/+wintsYMJorPnjhNmR6lyuFLb78Z40S498bVNIymsWwMDP1hRRw4mi0J0WmtOd8rOL8zRqM40ooIgmDa/LOsmAr2eer3YFLSG4zY7A4o4hSlmj786HBWPBWlFOPMgLY0IkUUh/S7HU51LWGpWVldoT/IyCew3IyJ4mRXUr5WbsC0sLGuL6nqQlBT0RkOOT0eMhrD2MKZpsUUE7aHbY60YFRpxlnBIDM4I9TtRDnGRcWorOiOhIxDaGmGlqVWg9JoYnV1jUYPi4VSeRyhsjCYlHRHE9a7GSMDJi853s7pDQvGQDMQamRW4SuQHZGCvBLGyupSU4S5m3Ho6wRmFM7YKQEGcul5BdAFxgNJjhpjMErjvMsfKIljayWe1KTuSWEK+kWAdoYkStC6biXhqEm681ZpHMDGzpBhAd3tTT5+aptHehN6O3AO8ZhuBYZjaGhoAEVW8YlTfZpRSKudEgYtEm0oRjmZyVA2IdZQ5DBWcHJ7yJNvOkaghQWmnCUIA+ktpX24YI4Ttt7J6YwN57tb6OQGblyW2LtFM8zGbPXG5FXFjeES4xLGecVGp8/J8yXNJfjSIyVnz4852YOnNHfQPI3znTFGRWgrPcsGmUM5WN3DRasV78bOkNPbOae7ORESoZiUGTqoKIyeFeGhpmGwz53b5v4zFdUAjt9UopUmKy3rW0NGmcNWITceacs9sHb6dM0w0LNC11rIFTlbI8to0GdzBKfX13moN2GlYQiV5eZjy4TKkFUVq0HF+e2M88MKY3NuXV0hsDAoIS3h9NaYKtohtg1uO3ojhRFBrNGksZvWq4Rao7VinFecOH+eHaBdLlFWt9Htdjg7dHzyoYzw+AXSLJrmekojhsAgdyiTc26rz6ce2aDRDGlEa+RZSmeoOdbSVPmYh89eIEpgpWH5kqccByVFk7sZZ/J/5xzD0ZgT53t8+qGCYqlgrepPa5/ySnIeuQ1ohLKvtkdw1FnOdCbsTAwJAWtHlskKS6RgZ1RxREckoUJ5L9lZ6UARaemOESjIi4pJ6RiMJvTHjkGvx8nNLucvlJw1cGQE2RDOb/dxOqbTjDm6lDDKxbvMi8o/vkKzkmi6uSFWhgudEZk1LMUlTw5i2onDBtf+iajzuGKlUpYln/nMZ1hbW+PJT37y9RjTExbOGobjnKIyRBqqXKiLZVawNRIF0O/PPm817AwzynhEWRnWO0ukcehph1CiwIlASULxEEJfD3GmM6A32n3+OBVLSemASCtyo0icNK6MPUV5nEsiMdCKsqwwShGhaPvny8NMAYmnIGGY2lJ74NQ6Z8aW0w+vc7IPo554KA5oIYoycDAuoAmgDOvbWxAE3GZWedKRhPODkkGRMzYl/aygLCErYaeEzcE265srrKys0Ijl3EopkmAWfpiPo2tytsYFYVmy1esxmcjrabPNhQs91reH5C7jhnYKtqIylvXukE9swNENUDdbcgcnzsNgAM873mEwWUIFmnGhWW6GpJEjDPZJzNY1MtawMRzSHcLYwJEYkiCmNxxjlIJiSGnalPmEs1lFO7JsDEo2B8JoKrIJxhg2t7t89vQGeRDwLLWEdTf4IlNHoLX06PKV2EqpKfuoMzZM8oozWxO6o4yPrw85syOKeit7mK/KbuH40aNEYUBhNWbS45GdnJubBQEtTAwJMALOnYcs7KOGfW686Vai2FwU6qksBN6TjrQjK6BS0MkmdIcZF3YGPNSbcGYb1tKKvCEhz0np80NVSVFCpzPkQw+f5VOn+xw9Ck9ebnNyfYcLQ8VNS4pms8G5rU3WS0s27rO2uszR5QZaBd7wkR5rzkl3ic7YsLHd53x/zIcH0BhA2hdKfWUM/XFBd1SQJjHKOTqDnNIqnAmwZc7Z7pglHVKVR1AYisJRZiO20RxpKAKdYpwoljCon20q+2SnP2ZzaNje6jDMNec7Wzx0asSDW7Dl5/aGLpzpbDGxIcuJprrpGCupwljPPrNy7MwoUq1BhXR7HU4NQ25sVNx6/AjGBde9uv4KG0mItfe85z2PP/3TP70e49mFn/3Zn0UpxR133HHRe/feey/33HMPzWaTm266ide97nUMh8OLPpfnOT/6oz/KLbfcQqPR4K677uJd73rXvuc77DGvFyorSruwjiSAshBhWWpYiiFR0kZpBzgNrO/A+Y6jPxzyyfULnDi7wSMXetPErFbs6pxax7XPdzPuP73Bw4Pd5z93Gra2toi15AUiJW0z8Anaug1GVlTkpWEwHHF+Z0yRZ2xs7fDRB3c4v7kzVS51K4mstFPa58MbO3zg/nXeexrOeYXSQsJeGtk8FzqiPFUIqrJ0CkNpMkrj2OgXbHZ6fO7UBg9s9tjpb9HLROFeAB7YGXPi3AUmpZyvfvhTXUcCu1vOaBTOW8+DPGNrPOGRjRF5adjqdHmo22Wju8P2MGOrO2Q8zlg/Kxv9c8DJdSjHSG5qCB8+3UG7krI0tCLHSjOa/lwEJ3NZFgWPnN3kk2fhwoYcpxGHmDhEq5BTXbl35zsTTq33ObHeJ6jEs3PAsITeaMS/PLTOxx7e5qMnNnhoc4NuX9bufIX5fLJ8WoRqJI9gqpxTmx22evDIAB4s4PQjcHJjg81+yWg0YjwuOb3Tpz+ZsD0SoRoXMvc5cCaD0VDm5eRGj82d7rR1zXzYrQ7FBkHAciOkKOCRjYr7Pv0ID61vc/LCmBNAvwdFIQSPUVayNZS2NEEQMM4qzm732ehCfwhZZfnkw4/wnhMP86H7P0e32+Pkecv6OfiXkxNOn+9Klb9Su36sg52hKIwT65s8cuE8HaAD7AzxodoBD5/rsrHVoTfMmBSG0Thju5tTZGOiKMYVE86PJ5y80AEn/MGNgSij3sTsajZZ3wOQeehPKjqDkkFecWZzi4+e3uFzG7DhPzsBtjLYGeTsTCZ0xkPZj1bTTkPiKCQrKkbDERc6PbbGA7Iy50ynx+cunOeBCxfY3OlRlBVVdYneOdcAV+ypBEHAbbfdRp7nl//wo8CZM2f4uZ/7OVqt1kXvffSjH+Xrvu7reNaznsUv//Ivc+bMGX7xF3+RBx54gL/5m7/Z9dnv+q7v4h3veAevf/3r+ZIv+RJ+93d/l2/8xm/k7//+73c9SOxKjnm9YE1FZ5yjlJMmgU5iv4GDG5cSjrRyBjkMAIMsuE+egqrdoerDP+tNrCu56egy7TTEIWGuvFIENmMji1iKDJ3ekM+cgLN7zv9RC588tcHS8gpFZRk6OJo48tJinEU5M00mGiWdkqvKstkvWe+MGBsYjRxBusRqCk6LIK2r2q2p+OxnJrx3LOdbA25AFIJPDdEDxv69IoNeCMcSGGclg2xEsGXZHmT0RhLHXx9MGPZhG9l4gx04Ee5w5MgQvRqy1l6dKtfQzhppOicdCUZlRVYUTMaA2saElnLURQcBncEO3X5FWcHTju7wkA5JlKE/mc1ZBTgt92MIbGzDaFKgwljqRaxXbgqiyO1i/tRW69Yo43xPrr1v4UljGI2H5OOQzDi+dCVlZ7DKmfULbNuQW5swcbJ5d4BTZ2A82mI0gAe78nqiBjzt2BZ3LbfRShEoyWHUXgPgqbGWTrfHI+dzmGyzNehTOrynC6dHcPR8xW3HhmwOxxxB85nTBRtGDICnH53Qy8Vjyv13yhI6PTjd75L1c2686UlEytBspKSRnho4zll6gxFlaXjktChm9GlGQ+gOZD5NCaMClC3Z6AyZ5IZYlbSWV0nDiuUkAZuTl9Ab7vChT094YAAXFDQaHbIRbJbQdHCu2+Vp+RHajZi8nOX6FI5Of8TWwNKbDDm7Le9N/M92f8KpzQkPnT7HdpVzh6lwZomznQlRoBlkKVGo2dqx9LKCpFzn9psT+sWEyfmMZGmJ5z5lhWCtSeH7m4VUZFYDFWGghY7vLLHLObGzw05X8px1eBqgD2z1IG2PSFEUhUEnGZlrUFUVeV6x2S+4sNPloV5JN+/QeaTicwOYrMCZWwc02is4V3Js5foVpl9VTuW1r30tv/Zrv8arX/1q1tbWrvWYAPihH/ohvuqrvgpjDFtbW7vee9Ob3sSRI0f4h3/4h+mjLW+//Xa+7/u+j3e+85285CUvAeCf//mf+aM/+iPe/OY380M/9EMAvOpVr+KOO+7gR37kR7j33nuv+JjXE8NJQac3YnPcZ5yBMzAewXAJUDllBedLWeggeZBVoDeE02dgZTQmysY895m3SzNGrcU9d46PPrRBJws53raAlg289/xIzDbLCzoTRyN0UzppEATYqmBnWHDuQheUwpiSJAUXgsmGnB2WTOKMMxeW6bdinnLj8qxNiHM4FXB+PDvfCFEeHX8tdTigiWym8URCWr1RH62hqs6zsrSKzjLGBhIriqWoZnPyyHloO0O6eh5Xtbnl2DKlEyZbTTWeFOJlDauQbDImK0uKDLZ2KroWjq8UHDk24cKgYpgDOTzSH/Fl8ZBhaZh38JrAUhPirgjVMICHzp2lTI9gc2G4bQzhpmXNUxsJMCMHBBgmk4wT5y9wvi9KJQWGXfhc6FhqQ6gjJkaz3c/5zLkNelFMWsW09Sxs2BmKd3PW30MFHN+CM90tnl3cSoChlytakePoSoh10BuM2JnAamL5+CNbfK6b0dvsUVh5ombg78E2cO4cnLptSDXuM1SaUxdmhk1n2GOrL0n6iR//eAiDCo7ubKIjyRPGSnHc03DrJxnmlWOzM2Fo4SE/nxsn4Zkt2PI26ziHZgyjUlEZxzCTIse0ZejnipUkJg1zqgo+cb7HZwaSn9t0cPPZbc6Uss4GGWyPh/RHGavtlHFWCi2eEIdiVDiMsYRByM5WMb2/J4FPPvAgrfYxPn1+myqAhjLgNKNRRpRGVKVmYzDm9IYYGWpsuO14ycQ5zuYlx9OS7YnmVqc8VV9CjmkkK74VBJ5coOiOK8qJ41QPZqMQdICtDhTJiHEMjWaHfs+xcmSNwWBMWVXsbG/zwU+VrFsoxxXjEWxOxJs+deEUN914lGaY7LP7rx2uSqkYY0iShKc//em84hWv4Pbbb6fRaOz6jFLqqvt+vec97+Ed73gHH/nIR3jta1+7671+v8+73vUu3vCGN+x6VvKrXvUq3vCGN/DHf/zHUwXwjne8gyAI+P7v//7p59I05dWvfjVvetObOH36NLfeeusVHfN6Yn2zw4NbHQZZSTaA3gS2C7AWIgsPZbKw5tEDhgMJh212IBzAxguGtJoN0sgXsRWWB86c46xJeFrX8vQn38zWPucHaDelqWFRQllUU7ppGEjOpDuqONPp85kz5wlTeN6TbuSZt97C+bQBOwM+uTWh1Kd47pOPk68tkYaOygYEShpHzodzDdAIoGN2j2EbOA5UJYwUjC5Av4Cjy/D8Ly3JiopjK5A7WEo0w8ksrnAKCC5AenyHo41I6goCTYkjiqRozNqSD3zyBA90hmxtTCgUbPXh1EiEYjGAzadOiLSn3IYQmJJ+adBVwfyWnAD5xOeCkDzXpx+ZME4nbMcwyKHSMYFNefqTjgLQH2V0M2jokgv9kvWuzMUKXqnksLUN57ZLjtxQcku0xfLyGutnoZcWrOYFYzNTwg8jnsV8UGM4gpPbXTZ3eqRJzKgKcMaxuiTFhifWO5zrwdE05/5HzvO5LmxuQrsNm8OZhTxBLOZOv0u3C2a8xUMIWUQDD14YsoUIwMp/vpHLfGxsgFXw5Z0Bx9LGrmfS11Xo3dGIST6jpm0jNUPn/d9bQJ5BdzAmzyaUhYFywsm8ojfc4v7NAeeHoIbgchkriCJ54LQoWoccb2vUZ7s74vjaElk160QwHPQ5db5DWU3IJ+Nde2MEvOtjO3zjXcdgDH0FnXhCebSiRNMAOoMR969v8xDicZsNuO38KaIKTm9DVg74siMJVXUUjWOcG5R/VkojFqZkf1zQ6eec2dpkvSNG1l5UwMYEOifhIQfD4BTPPNLGRksMh2OGRcXJbp9/9tsh24Kn+jlMgc+dKnjqrSU3tq8463FFuCqlUlv9AL/927+972euVqkYY3jta1/L937v9/IVX/EVF73/iU98gqqqeP7zn7/r9TiOufPOO/nIRz4yfe0jH/kIz3zmM3cpCoAXvOAFgIS8br311is65vXEIxcu8OnTJXYkm3OEbIbzl0jr9IFeR0JGY+CRCnZ6E269sWBsQ6rKYCw8dKrPyQJYhmfeenzfYzWBQV6x1enTyyMCcoZDTW5DkqACFdLpdvnMyfPcdxJWI6iGGywvHWfc3eL9n5wwqaAqOhzTmlEZc/Oq5pYb1+hNxMuZLwULkUr7/bABxB0Z03lEYJsObPVHKAvNBGwJAwutpr94RLidBG7tVoTHR0zykigJRTM7i8bRHwz5x49v8mnpMMRyBM7Cpp+DBMjLCWUhTQGJoDIwLgtiW+0KSZwB1ko5vQK2zksubBPY0RAnpzh27Gae7GLpMqAcg8wwKeD0+fOc2Kk4fUasa4AbgbQhAntjAHEDuuOCINRMEEV7YQeKuUFY/zOPDBiVcPpCn5uOLVESsRRp/wwaxQOPnOHes13ayrGxDt1cDJMjw5lAnz/Wpx6G0QTCSNZlrVSGE1mr8wqtvpZ4G0hhkA3IbXv66OZQQxIFGKcwVUFnT27vs3P/HwBbJVzYHmKcxQEjpwiqkp0MOh1RHBWg91hcp8vZvIyBjR3HIJNODKHyXR90wOdObfPR0+cYFTmDDckPzeOd5+EpJx5gawTRkhBo+sOSOFK0opgHzl7g/tOzc50FPvFZqdsZ5WACOHNzye2jjKVWA2cLskqxHEq7pfEk4+z2iHObmzy05RiOZY73wiCv95zck/TTcMuzh+ijBf3JmEFZcH5u8JvAzX5uTgLJGfjq8ZDzHcNNN1yfCBNcpVI5TPv7q8Vv/MZv8Mgjj/Dud7973/fX1yVwc/PNN1/03s0338x73/veXZ896HMA586du+Jj7kWe57vyS/15etYV4sGzXU6OxLIyHI5FYdidG7kAGJPRGUykHbktCcOQT5+CE8D2ebhh9eF9jzUGPn46JzYPELSejGZMpAJKQga9LZLlNYadCzy8LgKoU0L7LHS/tMcHHx7xCS9ZzBlYSrZ5RtgiLyJuPLbGxk6fz5zpsTl3vgzYdhePA2QO1oGbEG+sfu3+M6AdtFqw2pQnDzb2rOIcCRs+Mih45mBIO0iJY2FbTYqKkxdGnNuRa9BIonvFf1chivrU9ohqjHTOBXojKOmSakdDMXUTSmBjKPcBJP5vkGNPLCQn4I50wKCnOLW5xs0rEYHNOb0+4v996CHOZvAvc2PvIPTRM1b+n25CcczS6/UoBlA2RBGfvswyM8Akh24+5oYqpVTRtB6lNI6T2x3e94Ao0QmznMhehYKfj/5ExmNLufQlYFXLPOeIktkbrrkAtDM41+/xbHeDb2evKctSSBzlhIe3dni4e+nruHAWPnHzeW5JNN2x4+RWlyiBfAc+PpwptL2ruj5shNzDzS3Is4F4S0GIycc8sJ7zLw8+xLs+JefqcTEK4C8+7tgC1oYQrsEzn1QQBUsoHTIw5S5DwwD/nEGayRofn4GnPWmTW04nPOlJT6LMJlQ6pRFKFOBzpzb5+MNn+ehDI84Nme6RgNm6mp/TGiNgaKGsSnqjCac6GQ/vuYB5r+tzwPtOnaHsR/zrL3nSdatVuSqlctttt13rcQCwvb3NT/7kT/ITP/ETB/YUm3jOZ5JcHBdM03T6fv3Zgz43f6wrOeZe/I//8T/4qZ/6qQPfvxIUlWzgK8W8oRcDndGA6nRA5kJuaAa02k02kE3WBf76n7MDj7V1Dv7+HKw+/QxHA1hrJEyiiAvrJaZ7gfVTcMav9CGwXsInLpxlfW61nwLcQ9Bxp3jBjRF82ZPY7mes93rke8633yauUTELZ4AItYf7stnUAG5M4I4nO1wKqr+7ff25bXj68THr3ZzbWhUmgKKs2Opn7PQ61DNQW/l12nLETABVuVBd24mEsVzPiRczd6KWnweQe/fg3HF7wCcHsLwxJDITguZRdnoBG+tn+fNPbPLufRJbJdC1M+HRByYG7r+wzTmk6DWfwCOXmDcQA6HfgV5nm384u0mw1ODLjy0TqlvoF5qzZ5kynA6DTX+dtTXeQXJaNweiiBMuViotQIdQmpzcd28OtKI3KZgYQ5YVlIW7yDPYiw+XED/cY93n785sQ5LA5sbutX8QSv+TD2DoG3CO85LTmyPObm5x76dnLKuDcNr/PgsEO3DzZodbjioCG6LGjsmeLVUxWxePAKe3cj7GOVorRymLiuUlYWQWleUzj1zgvgdGfGosRk6tSPYqlL2wQFHAuZ0enSInqy42CvZKrvX1MR8cwb+fZLSaDa4HHlXx49mzZ3nPe97DxsYG3/Zt38aTn/xkjDH0ej1WVlauuGvxj//4j7O2tnZRHmUede5mP/ZZlmW7cjuNRuPAz80f60qOuRdvfOMb+W//7b9N/+73+9x6660Hfv5SuFrDYV6YJsAjF7roMEc3I1LXZlLuDtl8Zu95545xwh/j6CnxRJ71rJysKjm3DVUEp81uQXQSuPmk4dzcIGpm2pMGcCotOdfJmIz7nO92d4VJYCakaqusxf6uf41t/zsFVnI4P4LVYPccgFho6xvQv2mHnfYyjSAmiiwnHjnDB89s7Hq2Rg84Nvf3BNjuSIK4Ai6MvNU7krmZ36gDP+YaczwEfI6fz5yE0YZhUj1AaDPu+wR84hLXOC9kzwH3PwKr3T6n/GsJXKSc92IHONOBj53LGY+gDEt2xmNyozDBEqd2LnOAPQgQUsUQuUbtx7nTk/u1H5dIA+sVPHAy58uOXGC1oXl4G3S+g2oeIzY9iupyolMUwqcuCClluSWMNMPhFWKNdSA0JcYK2+vhs+vc+7ltHrn8EHbhFPCRz8D2U3YIQggq31fvgFCuAbp96KcTOv2S1VQeYSA1OhWTYsTOeDfTC2SNH2z+iQHZm0B7MiKfOMry4n1Qf38VWcPnNmB1AtvD8vGlVJxz/OAP/iC/9mu/RlVJ24Kv+Iqv4MlPfjLD4ZDbb7+dn/7pn+b1r3/9oY/5wAMP8La3vY1f+ZVfmYalQIR6WZacPHmS5eXlaYiqDlnNY319nVtuuWX6980338zZs3uJs7Pv1p+9kmPuRZIk+3o4V4Mnre0XRLgy5MD5HRhOJtCecFSVNON8V+Jv7+KdVyq159Atpbp9PIJBYKlKOFXun0Dc7F7scUyAc5sQjOCh285xYWdAbkQgpoiwNkgOYYAsxM4+YzsIGSK0lgMoA6m+nxf2Dji7Be9/ZIevDAKOtm5F4fi7j5/ms2clFHApnEJyI7W/XFuy7T2fK7j8JnoEcGM4+bGMCvZl3h0EBzyQQ2vOlN6rUOZSSlNYP+bldelMWwFbUcU7N0+zcjy5rHewF9t7/u7633W2MmL3vYuQc24jBZFnu0PyB3dYH+f0ds7ztFsDIjekkV5OdM7Ovw3caWTOr+YhGx2gN54wnmQ8eHaHT5zZ5r2bV7fjzgDbp2Tke699P4x3oN+AssjIAsWadgxzS2FynNX7eiWXm5UMYRsWWclmT6jte/VavSfayD0ziKcdXNYPunpcFQ3gzW9+M7/6q7/KD/3QD/Gud71r12NSV1ZWePnLX86f/MmfXNExz549i7WW173udTz1qU+d/nzgAx/g/vvv56lPfSo//dM/zR133EEYhnzoQx/a9f2iKPjoRz/KnXfeOX3tzjvv5P77778oz/GBD3xg+j5wRce8nrj56NF9Lb4ah3FkNPDgOrynC588Ax/73ITPXtg+cOMsIVbMXhSIQOuOoT+SDXmQdXyCmatfw/nXPzmGD508w9mtEZ2hHMMhiz9BchlL/qc+72GRhhBE0rrmyJ73cnwdz0Pw9x/f5OTZdR545AIfOwXb5mKLbi8y/AZkD6sKUYrzOIxlNi1YPcRnD/ruQThozobAqBKPq5HCKIPz23B+J7+kN3glqO/73mqymJki2gRG/SGfuP8R/uafzvPuT8E/fuph3vnBDT7ywOUVyjzOZHLO7lWM1QHnhhnbw5LBZMTJc1dvwnWRe9lB1tnl9uYDBs6chs/u9NjcPM+J9R73n1jnc6d2iAO371Mp9xowe5EiBa07AzjfgbPbXBQJqDFAlN8IqArIs4ND+o8WV6VUfvM3f5NXvepV/NzP/dy+AvfZz342999//xUd84477uDP/uzPLvr58i//cp7ylKfwZ3/2Z7z61a9mZWWFr//6r+f3f//3GQxmEdW3v/3tDIdDXvnKV05fe8UrXoExhre97W3T1/I853d+53e46667pmGqKznm9USg9f6PPEUswsOUKw2RkEmFLPaPb8Pp/bKviHWvOVhZrAMbW1LlvcnF8dkal7J5doAPfgYudGE8lsVtEUHcAFQgY7gay3NcwXYXJuXFc3McyUc8DNx7Af7gfev8/z55khH7h9cO2gj7hVjm79ExxJtZ2edz87iefRkuVR/9AELRDSMJwWxn0Nu+yo2/D2rlvMbMa4Hdc1wCZ3ZgMxNSxCPAu07De3bgU3tdrMtgC1k/KXCY+MC8wi+BnR1pa9PrbnPhUQQFbma3Ir2ckh4Bn3Mwycc82MvZ3Onw9/ef5EOnHub05mhf5WYRY+sgo2WCKJNOR5TjpaaywueVgEEBnz55gFC4Briq8Nfp06e5++67D3y/1WpdMQvq2LFj/If/8B8uev1XfuVXAHa997M/+7PcfffdfM3XfA3f//3fz5kzZ/ilX/olXvKSl/AN3/AN08/dddddvPKVr+SNb3wjGxsbPOMZz+D//J//w8mTJy+iQh/2mNcTk6raV3GsISGONjO65kHQ7E72nwSGBwSfS3/cmP03xQQRSpbDBCgOxgPA1o6Mv0SEQQIcRZ62WPgk+5OQ3xtcWlDWiAJ5VlFlIZ2P4SFCp/4zAz7ZhYe6Bydko3D/kyp8D7I51OmIJrLpI65OKX6+cBZY8p0ZGrEkd5tcHSlkHhq5/hyZv/iAm5YhymS8PfO4HCIIr1auZ8i+uFxuae+QSifFmKf67tCh1v2g2b1vDtNfZAsY5DlPTStObmzy0BnoDHPiYn/DrO6F12D/dVuTBgJEkF9qj9bjHCMy5BMn1vn3Lz7EoK8CV2Ww3HjjjZw+fbBD/uEPf5inPOUpVz2oy+G5z30u7373u2k0GrzhDW/gbW97G69+9at5xzvecdFnf+/3fo/Xv/71vP3tb+d1r3sdZVnyl3/5l7z4xS++6mNeL+R5SZOLwysFsugyLu9m71ezcFCh46r/fanNNebRKZQaHWRcGrFojyG1JjqAJS0NLzWykW5k/5DcPNTc8VqBtC2Zx2oK8+1OO1xeIe+HmIuvv/57jAhHx+FCk48VHOKpTCp4qID78/2pw5fDvIe25n9a+NqeVITffpggwnzbHc67OAxaXBxyuxwU0on7/nPn2T5z8L44DM5z5fc8AIrJhLFTjLKCSQbn1+HU9sxQmccKM4VxqXFUwFLKvlGO/ZAD5jrWP16Vp/Lyl7+c3/iN3+C7vuu7WFkRx7/mPL/zne/kd3/3d/mRH/mRazLAf/iHf9j39XvuuYf3v//9l/1+mqa8+c1v5s1vfvNlP3vYY14vNJMmT27tUI5EYAbIhqwVTW3lXwshjz/eMUQwd6/wuxrZVFeS7qurzmsKahzII3a3rRwvROieiZu1G9kv99FCFNPaGjQisMluARMgdOAVxBvam2TeD+0WrPQuJhzE/lz7WYqKWY7o+nVSujT2q2XYiyFSNFm3Urla1EKr8P+vmBkw1sJaACMjAnKV3Wvq/PblyRFXghC4IYFTV9CC8BgwyeA9nx7z8UfZU9FwsSK4HM3GAJ99CLLjBYmCVhtGA4km7P3eCrN6oEuFtUL/E0cQHlIwJMBTV68P8wuu0lP5qZ/6KW6++WbuvPNOXvWqV6GU4ud//ue55557eNnLXsazn/1s3vSmN13rsX7R42g7ZPUIHA9ESDaQzVkXplX+/22u3ErbDzcAa+nFz+g+DDQHJxKXD3i9qeQ9h5zTVL5hJlIVr2CqRSIuTr5Pj4MURcYRRKmMYz58dyMwdNJP6jAKBaTPWATcMnfeCNnUe58zXiP1n7kpvXxO5XphXumG7PbO5mHKy8f9L4eAmRdtmSmXAOnBprSMocXF3va1VCgg96iwVxZ2rIAzFXxo9Gg5loL5sGjAxd71fobGpyq4/6w8M0grUfR79aJC1vSxVelMHjLrYLAXtRyIoxnZ5XJYAZZXD9pdjx5XpVRWVlb4p3/6J37kR36Es2fPkqYp//iP/0i32+W///f/znvf+16azb2R6AUuB6MSVhOpmK4XUc4srp8iC2w+2fxovNgMGGayuA+7IGuEHLwxi33GFQNrrZkQ0lqqs7WGdgjNFtzYguW2WFKGg2P+Ad6Ft9CKoLnU4ObGzJLO8D3RDnktERDFosQtslHX8EQChD21X9hmgmevNaHVOHz44VpCM1Nukf//sX0+l01mIavLIeZigei71Uw7PYTInNQCMIzk6ZIGmZfrHQ60zLzIw6Lk8Oy7y4VwlD9/2///2Nx4asl3kDOUA/1c5mu/ddX0x5xkoCNY1v6BfP79YO537F+v2+XU83EpudCEKwsxXCGuuvix0Wjw4z/+4/z4j//4tRzPExrOVQwmUgSp3ay9RL2hV5EYaosZk2O+eDDkcAlD/DHWYjl2Zq480XwEsZIPCqfsLRI0AEo2YYU0GgxjCEPQTaEHZ6FPvCNK8yDBNPDvpUMYN+DpN0S0mxOiySz/dNjCOIUohnYL7FAUWcQsV5IAQQLNye651cyqyJWGlRaE/vxtri/bax7H/DXUFPAh+3skdU5rrwexHxrM2rd0/WsxvkIeue6aoNBag/4OxDEMhrP3rkZm7RfurF+b98ydHyOJPG3yUpjnX1yJoqsT5Aet7yVk3UyY5dQif7563eh9vl8r4RhYH8jfS1zcFaMNLC9BmUuz0yPInI6ZeYhLSMixMJDl8nodAaujG/vhAeCBB8/B1z7nsvNwNbgqQ/fv/u7vPq8Pr3qiIAojnG97USflG8yov3UMO0cW7TFmltHNHBwuOgh5AcNiZnUetBj2E0Q1JXg/rHBxaOwmpLmeQzZE2vT5FSUCOQlFyUReqcSI4qzpxvMCIZ37u5WAcwHxnHl0JeHyEJnD1SU4uiTnawawpmAl9Ky7cHdcu2avaf+T5f6Z5/7vy9XAHIRaUNS43OZMgKMablmSkF/CTLDtxTpSAX85xlNtnKwFs0Rxgk/KBzIfERApiJUwyTSQxJB4evgY+W7ddfmw2O96a+/vFsSoOoLcLw2oA9h6bWQeAySnVntyhx1L/b3Gntf2fuZYOlPAsT937eXWHsx+19MIpH1NU8vc7r0nbXwkYAJVJfPeYqbYl5A5SAB8wWMSz4gu/uVd56/zmSBGxwcvrgm/ZrgqT+VlL3sZQRDwr//1v+ZFL3rR9Oegfl0LHA5xpFmOpIlho5AFO8bXcjiInPxeYvbMkZCZZT2/KS/V7qQWHKX/PxqUudi7qLHKbrZQvbD1HhpurZyO+PENEOXY8K9bOztnHEDYhtWGFGMpJZRXF8BqDKaQc9RWeN1LqQ5PNYCjazKGjd6AC53ZUFa5dHJzHnUIB6QiOYnkIVMrbXARhL4x2JG5Oai7AtTz3mpJj7CVrlj2TT/eK8gh7zpu5Y+bMbO061DH/P1pIHmF2Mzuf63sD+qJdbkNH/jj9M1sruv1csOqdCrujCFKfCgzBV1JKLJWtEeYCbU2V08sCZgphwJRUlZDZqHRksLXIzl03OwcNXkk9N+zyNyscnkyRV0P1uZi8kq9t+pj34DkMYJs5r3V1PuQGbFmL3LgESOkEJB1Or9OGv77KoQghqzv+5X5Y9ZGS+j/r5QYQXEKS5mEfetw+fxaqQ2hmogSXunivAJclVL5p3/6J97znvfwvve9j7e//e386q/+KkopnvnMZ+5SMrfffvs1Hu4XN4wxEGiS0KIKWRQaaDdhMpZcSx3LranDtfUSKWm/UP8Nu5VK7ZbXm6Llv2+QNur1JqjX2jwtea+FFyMJxDiVEFTGzHKKkf5MWEgn8t6KP1+7LSGiKBHFmWgRiq4Co6A0Uu+wtgzhUDr+jq0c27C7HcZSAmksVt8wr5gUM8+uiSSsz3B55PiHH22AK6RRYVGCiiQ0l8bSqn1eSKeIMFgCUi1WYluLMK38te6XgL0cai+gYpacra+59mDOMfOEWohAqUOGR1MJIx6roJf5+hFmm9ww62LQ52KPSjPLK9XesvWfX0a6LofKMxMDuXYLVD5WaCN5RIBD1uNxN2vBcynvMfXXWivNem07P87aWyqQRxTECGuwFUCVwpGJKIDMf7YOFe8wUy71s14OQq2M28wICavMDIk6FFYn5NMQxuVuxVEL/oqZZ1Bfu2YWkqqfP/NlbaiGct/rvVqPPwogL0VZ1wo6VkKdr6MVIfJ48eaSyIhBV75f1wApZtT7el/0kGesfNnTLzEZjxJXpVRe8IIX8IIXvGD6XJVPf/rTvPe97+W9730vf/u3f8tv//Zvo5S67s9C/mLDpIDSP3OiCaSJxFTzUkJEWQWMZUFlyMJpIouu8BKitiz3ut4Ju5P7LSR0FGjkKZMKRlYWRK14lpkJpnnq6jHgyKo8F7xiFuaI8FRTKxTWOnRRC4l2Q8IlaSSbspHIOLulCG7r5IFMpRPhnrQh3IbMyXhW/XiW8YlhwHlF6hCB4BBlVdnLC7N6XgD6Y7H4K8T6KwoZtDIQL0t4cR3/ECpmAjlpwsqS3Lsogna521uI/dwMODgs1mSmkOsQSszM8q8t1L006xAYG2h7C0D7ep9hNrOs63uX+M8vRxB7YVh7c2ru/bp9TsnM4q0NEoysweUE2kvSz6xE5gggDmfeZZyAyuQ6Vpg9pXIv6pBM7Ocs8OOqqfQGWbfbyP094rVesyFe5Y0NKC7IeouYecWGWXFq3RboUsWetfCtP1vnpuq5r/dZPS+Nhgj+TjYjL6ymcDqbXWetnIbMlEVtaPSZ7Qsz99l6/6apGCs7uTwB1hlJ2ifFrJN2249jLYFKewPHylqroxz1Omj58zeB5RhuWr3qdPpl8ahLYLIsY2Njg42NDS5cuECn08E5x9Oe9rRrMb4nFNqNQCyayAvE0iekY1EsRTkLhdQx4toSW4pnQqkWBPM3N2HmwTQQeu/RFR9qcbOHZS0hi3WFGVOrz+7Eq8Fbqw35/ARZwBZZ8EXh+3L5z9eWVhTBUgOMESUYa3HzG7FY25GWHE8tOLMMBm620WvPLGnIg6ziEKzWpI0mx9dE6QR4pYYon3l20H5khKG/vqoSZRb5+E93JDRZa0DNKbVbkM3bBo5G0GzLo3wvdOT+xEAznM194udzv9BLndythf6RUOL0bT3L19Thjvr/teBtMAuToaCh/X100mQwmjtHHYKMkfEGfkx16K9W/vU4auMg9XPeUkJkSGK5h9aIVxmGktcYV6KIj6zBk46I8Gs2xYhQzMJy+6EWyPUY6vBoHUKtlW0t8ItS1kojkaeh9odyf2oSQk2wqK/xyMrMA9kr7Orz1NdZ5+9qIV/PdR1SazJbU07Juq3bxYRIW/6680V9b+sapgYX11IlEbSVjOHY3D1JEgkz9jKZ8zgW4+XGlVmfu1XEU2s3Zx4aetbLr6bk1+SK6R5EogFVdP0qq65KXf3lX/7l1DP58Ic/jDGGO+64gxe/+MV8//d/Py9+8Ys5fvz4tR7rFz1W2g2OtZtsDcdUhSSut4agM1ClxFjrhaGZWb8KyAoRMinQquPO7PZO6njtKhKPzgy0YqH2msrTGP3xays7Z0ZnrhdvC8ittPyumTnzLnkYyjPBa2pxjOQo8gx2PL+j0ZDzx8hBG4E8gOpGT6kuJuJFzVt3ETLepWVohSJIWwE4a4jULMRQx5zrmPqqH/sRJEwyHwapr2uCf+7GGELnv+vkx7mZVW+QGhuNWJNpDCqGaOyFaegFQW8mFOufeQp27YGEzBLicUOuSwHjApTPQdVhy3lab21YNANpFpkZWR8gSvUosh7afv7quH8jgnEgXtl8iK0WOvVxa5KERhR7kIswimLJja0sgx7I0yUDhKzQ0KJgAiV/Y2dFvDV7qfZY5tejmltnNY27DiPWc1R7DCAKzBhvkCSw2Zv1k6uVUoTcs15/5rnMG0a10qivMWIWLmoxW8v1eqoVcH0MDf4Z9zMWZOprroJg9l59jIRZ4r+B9KYLI2/EVDLuZT+uoV/wR1LJM6axdJ7IKrj5CKx35B6kMYxzCKyEihspTEYQOzF4RuXsqZx1XjJHlHJ8zbq/XYyrUirf/M3fTBAEfNu3fRs//uM/zgtf+MJpZf0CVw9rLWEYkYTi7uaZX5CRLJpRPrOomgloz6bSSj4zKWURxqHkB2r6bi3UYCY44lgEzMj4MBKzYr96Y9ZufB1CqDd41JAHV20WM4FUb8wCsWTTACIz8y4aseRPykoEQl74xKEGbSThHmt5BOtyDHksm6f2zKbsFe1zHZHfKEpci1LNBEc9nnoz1QKntnprpVJ7MRmzFuZLKWgrc0gkim00mVmzQyTOHSB1BlioxiLUG0oUYupm3mIELCkYu9nGbjBj92nmQiIDpuasczMWnFYynrASJVcw81SbqRdkWlr169gz6cqZhd5C7pc18vwNp2RsS4iSrYX8fJhzJfZrzv9trCjNNJZWJ3nu72skiqIsoEjFSwpCEZiFmeUVQn+dqZ//mmxS+NfmPYJ5L62pRWjWhkKoRKBWTjy6kZE5aPk6jbpuY0rzDeThd4ZZLgx/nvrcLWZ7AObIJMwKjuu/Qy33I6+EFl8r+qVA7o1B9m6duK8NtdoDvMFf+4oSr71sQDWRMVp/7rVErjFOoB2BK6FTyJ6yyN4FYVC2Uzlv5GC7J/MSI5PXUD7fxWz+VhBjaLV9/eoIr0qp/Lt/9++49957+eM//mPuu+8+XvSiF/HiF7+YF73oRTzrWc+61mN8wqA/qcBaykKsHZQwaxwicHOftEuVWOzOx7itk0Uee6kep7LJQW5wnQCurRZAEqt4K6glj4s1XojUG7zpf9pNCMZCSc0BmyM7w86EU6TFghwZ8ULKTJK2DcSCJZLNu+EkJNFuysYJ9CweXikZj6lE6Wgtm6rygecokTyT1pI0bjvIK0fkpBFnqOS1Vhu094hq5ViHKOoYN8wYMgq/mREvI9ViGRZWFGiiYckr4LYXaCWQFiKklxqy4bt+DEbN8hQBwmhbqkSR1DH5OlRTW+o1y60oZN6sE6EQNyQ0l6TybJvQzMJTjUjGW/dxslaEf2VEuLeMjE1VEj4dW1jORTDW3k+tnOo82jSpb2ZhG4uwDgOEidhM5FHFZSnGQBKLEgF5rzQyf7GWMepS1kdmZ6GpWuHWCqBuQVSLusKvtcD6XEFDPOrAW+3ayXprN+VJmLXHDDOvQvkFoP2in1cq9Tlqoyti5lXV66YOqdX3bMq8CmQOceLxN3zoVOUzL9IyC08mQDvwodR6HabeS0F+OyOGxFIqod1Ew9IShAWcy+TeOiXh4f5ExrLUlLwoToy1cgX0CDoTITSUbrbmV5gRCBoNCOobdh1wVUrlL/7iLwD45Cc/OQ2D/czP/Aznzp1jbW2NF77whbzoRS/iB3/wB6/pYL/YoXDYMKTRgN5APJMC39fHCEuqV4mFPBjL5rVIWMLhNzN+4Wuhw9bU4zpJ59cgk1IaORq/0SszY4XVCxH/3TCQ1yt8Y0vrOwPHQk1UiIeUWe+5KEleH9mZKbGW90JWWiIwsWJdOe2r2RMJeeVeWJVGNkZWyqaLYrHWR2Ox1FYSGddaM6KcOAwl2tOSWw3xkna8S1J7Da1gJiznBXwdikpCWGrNhGfiJCEcWlg5AkklbcbDSMJT1nkL3/mHhllR8kk028AgVmjNHKrPN2KO2MCMEhuWM6FknCjcwIe4GhqK7ly+xN/sLIPe2IeHfPJhYiSE2Z7ADW0YWCjG8p4OvFflZhZ9vTb6fnzOSOucydiHfLTMexrASMuYAivWehyIom8m8r0oEm8l859zpRgBBfJTe811Di5kxrqy/jM1422pDflI2ugkCpqRKDLt5JjOyrqqPexUQZCIl2/xSjWCjeEsCd6fuw91jUnoz5squa9hJNdS2bkQM5BamYdmBNYzGIe53IsiE9JCuwGqkOf2TAkAbuaJVYiSyI2s68DIfGnEC19qSdKfQBQEDoYjUG0JE8da8i5Kea9QeWKKEu8wUbKHapJNE1FihScRBCFEV/hU3ivBowqs3XHHHfzAD/wAf/AHf8CDDz7Ib//2b3Ps2DH+7//9v9esoeQTCc0kpKEUkRal0GrIgqhj+62WJHKjdJaMjgC0tDdpxZ4VlgNqxuSqLeN6GYVIcrN0Yj0VdrbgU//TBFYCH4+2s5CLQ847GIkAjZEFroO5at4QlpuSX0iB1VWImyJs40QqhW9YE4ssSERgttOYdirx+KoSBlNhRKEEgR+DFU8lCsX1b4Uxk0LRzTPJfSDKwHgLsg7n1dZ4nM4Stunc63VC1vh8gFKigBqxsKUiP5F5KWGkmkhhrFh9N68JxblChJ11cKw1U8y111KHV+okeJ0Xg1ntTYRYpHWOozJy3xtaBHcdhlwBEm8BrLSlXU2cymeXvbkf4dl9PrmdBlLb02r6JDuzENlqKJTVZWaGSVXO6k4abR82i8Q6ThIRnoGV2pHVJVmzWQWdgXgyNpfE+gRhb9UKqw5F1vNfh1drpRL71zSiQIwWw8pYMTYqJMxoC9geiLJUGlZS8ey0E8G52vZU4lIMkrowcdlfcwqs6lk+BcRQWWnD2pLc/3xubCB/l7nMRVV4koL3FOocYZyKUp8wy0OWc/kx/FqLtKx1i19T8ey+lEauKXGSN9FeO9V5ylqhBEgEo/TyIKzXfzgzYmLknh9dFYUYBhCH10+pXDWvbDgc8v73v5/3vOc9vPe97+WDH/wgRVEQhiFf9VVfxYte9KJrOc4nBKIoot1qsLwcUFpDfyzxfOcTo2kqFltWyMYhF4F7dE2ohFkp4aJGIkyUqhDB0GS2aWq3HCWWubUSq1c+t1EnaFs+pg5gq9nDtWrKaZpIWCfPvVUHHAtkcbeXxd3XkSTzs1wstSQUYdT01iuIsMxyqKpCGFhWhHISiaKKlGyq0gjbJ2oCTpLYFkMQSbBjnDnG1sey/UavQw/OX0/lPbuar1+zfaax5nimwE0gCmRUyPnHmQ8t+Zh1EMgGjWPAzIT2xHgr0QvkOlFeb+5aqLSYhX3qUM1yIvfaViKgK+vj9xk0wpln2kAEUhKJlVtZuefWW9dRKNe9g4xZKYm9a6+gY0R51orN+euJQiGEOAdH2qKgw1y8ySPLsNb0Y/IKZeLZHEuBeHQN5RuEeg+l78NjdS6lNkxq4ket1GqhHifg8llCuY1X8CH0fSxpXIjyiLQYV+1SPEHtBWsayrrUleyH5UhCZrWCzCumfdIMsgCagcxtYGV9Li+JseW8UTWfh6mQZ8OEYwgT8Xwr4ynwkayT0sj4jijoGV+rFcjYilzWSZz4PGYEDR++tkYURNEQIyFQomjWlqAzFIXdjsS70Z41WfpQcVWByWTdTRADIUG8NOeNitiJco4S0PpxplSe97zn8fGPfxxjDO12m6/+6q/mTW96Ey960Yu46667aDQalz/IAhchChTOVGQTg7YiWNqxbHIQQalDHzYyEnqos4FhQyzKLcTDcbmEo5q+BkR5YRngCxdj2RChFlfepD7paOX1fjFLfBsr1l3NXrIKWqkkSMuJeCFRBhdGXnmZWRWwwgtcn1xshEInDmKJF49tHS6JGWQFo1I26VpbBFivJ39rP47KzrwJYx1BVWKNI42hncnrUSwhq/bQM5asCIJGOGNCtZgJtQbQWIHlUM4V+DkelyIEKiPhpTD21rUP3udGciCdQKw/HYp1rpRYq2tWYuCp9wrr8GFNGKiT0TVbqb0k+YeRZ+NF/hzOeqGQyHpQgdyzNPI01gi6ubCh4mSWj1q20FoS4kMV+foaJ5Zs2vDEg0LGUBbey1n2ZIZKlFllxatci32uSMsYuxNhJyWIR3l8KSR1GuMKVhIxKJZTGGs4Ws0Uynziu51KfU8YyD1Fz3IO2i9tU4rX2YpFcaBlDM2GCOmJnoWNAr/gFGKANRCPQgWisKtM2H3WiuBtI+s/cDKPyrPWdrpynlSLMVWTGGpWWogonEYqSt944W6NKIfUG2nWzgo7UT5EiPwucjFQlloi6Iu+D7sFslcrK/KgkTiyAsaxNzB8aUEaeuPHh1yjRPKI800qCyTsrCIJTea5D5EVYK5jDeFVKZXbb7+d7/zO7+RFL3oRz3nOc9D6UUXRFvCojGViLEbLorVeKFFIrNY6oepqLZtIOx9eyCUUYJ30X7JKuv42rXg6pRXBk/m6FwcsN4SaG5SwPRJPp6pESdQb2zELb0WRCNYIacndSEV4Ly/Lwh4htQyVgUJ568hbemlDhMaklE0HssBNDMcixc7AMRgWFJmEUkIlSfskEmtUD2Vzp8hr1gsgrTSdrGDkk5zWyeZJQsk/JZGMoZj42ho7S9jXW8oh52tEIhjQYjkOM2kFohEBcWRJFOF4PMvJNBMRDKYUBdSIZS7iGIICRk4sziiS/FhazpphwiykkiICNgq9V4dvexKLIsTHytvKJ+atZwspybWNS7m28URyVtqIMG0jpIVWLEJqJ5NuB4OhdC0eFrvzN87PvQpFeVkrFn5ZQjcUj2RQ+NxDJInzZkuxpB2JChmX1VSpVxZCX3MTh+JZFhX0fa4jVtKFV2mv+H2spvL5szL3uZNAxhSGMtBGrZEUxLFipe1kX4xl7Rkrx7JO9keUClFBa1mXiZa8SNt7lXhBXVq516vLPmRYyU+t4MJAQpzGGzRLXnLHfi0koTeuQp+r8tcdeiOp2ZCxG+Q9a2Xvap93UfWiUGIYtGJAhTTikqoFg4nIhGYEQy2GT3cAays+RGxnobgKqRNSQ1k3ppL70cQXOAcyxuuFq1Iqf/Inf3Ktx7EAsgBcWTHOZRMmkWymumVD1vcLuumpjYgiABFcRSmLNo48zZRZMVjhE97Ks7PGpTCBKisu9Xbuw2Geopjl4tE4Byur4IZS76HHUuEeaF+voTxzJ5CqdGs9tz4Sj8kYYS5VgX8s6sgXRoZwg4YeAUdbFT0UadNRFCKU27Es/Iaa1Qw4JPR3pCEFh85VOAWTobQSbzZkPMNcQiZpLFbauJBrCUJJKsfe5YoRQkFQ+Ri2kqR2bSFPPI1zNRUlMdRw46q/3sRblnoWbhojseulVARo3helnrhZUlgzozlbhG5svLGgBj6nVM7IE41U7u3ailduwPm+eETDTAgLqQbb9KGREAaljGM0kPvX74FtwErDx+kDuSdRMesQkCYytqzyeTztFVgpc95SskaaiXhSoc8JaCXGRqUy8bK8x7TcBjuWItKilPU8yb2XouS+qEqUwHAiCrnVlDAekYQAg1DWdxiItxZpny9wPuxUOQnbBT4U5enSVeUZiAXTImLv5KAiIVxMO3N75VMrr7G/OUEw+14QiOfTbIoiD8zMUynwSgtfBlDK3KaJnDA3UHn32FgkVBrM1lyqZS+1UyhiXwhcCUPxhoYMIDfymcx79W0tBstqUx7LUHnefRJA3828cGN8btHPUd1lojSgnblGUutiXHVOBeDEiRP8zd/8DY888ggAt912Gy972ct46lOfek0G90RDpAylk1h+MZHY9U1t2ByLax1HsriMX9iEcLQp8X/rF2vTiPWcIhZRgM9lxCJQ+kN5P3FQBBBbYQYFWjZUXsoma6feoqpEMDntiQBjCXsZJ8JGIYIlSWaWZTOVOpkkEmstCsU6HJQ+dOdk4wzSkBsbCTsDR5AbnBMBrrwVW1nYGs3i36m3/kZO6LI7I1iNxKtZSqA3knGsNGXcZSEbK9YyriSREErDC7N67KUfj3YI6SGAoRXPZCUCpwMGiZGeXgXTxEgQwlrDx+MD8ciiAHQM4QjOe4EYJ+IZ9oeSozBmVkODk3lteYEV+URrUYnnFFm5V2UBDR/qSAPoWGHzbI2lV5ry+ZY48uwzLfUkg6G8d8wry5o7PO+Jama1Q0UJxtchuVIUVyuQWH+rIQIu9qGYysKFvqOqZE1pKx7opISmj/NnpYwzjMUDyQvpUdf0VrVSPjwbyDUXpcxHo+3rgEIR7vjcUKTF+EqV3NN2GLBVGTlv5pPrBiJvnYc+TOwqULEQEqyVPFmB1MFUWoyOrJKq9UCJFxNqGbP1Sqc3FiFunFyHRViGiQ/fVX5ukkSOqzTYiSjoNBJDqZHIvjZjMYIK7wmOfeKtDCTK0NBiKFFJqKyf+ZokK8qniYTsolDu93ZHwsp1u6MogmNHpI1PNpa1pLxs0AqcepzlVAB+8Ad/kF/91V/FWrvrda01r3/96/nFX/zFRz24JxoqQtJIC+fcimIZIzHt4RAIxOJrBJ5qrCSBuRrLhqxjzGupLMQ4ECHTbIpgzXKvmHzyOxzIZmolwqwKAmn3MvY00liLpWMsUIgSSj21V3lFlnllp5XkcYa5fGYl9lXFgSg1QrHOKiB0kGvQWcUFC6k2HFlr0xgN2Z7IJstyn+j34ZQG/jhKFu0oAxd7i64t57ohmSWeIy2CLAg8vToWoahLCRvUIT5jfGLWKwrtBfvR5YBQGSko1Y5EQc/nWAIl89KORUAeaYiFnkRyvpaGTSUdmIf+PoxzETh5JedSFo4kMpdaewvXM86iRJRGGPkakEReK2umEXLsOvEw8HOOll5UgTcEmpGvdwmZFsgGEagMsgSOrYgnVXmBrZSnr3vviZqIEHrPyr+vkPUZ4K3qoVjuRyPII5+b8qQA5/N3GqbUr8j597yAM16waiV1J7IXBJG/HzoUxZo58d7jEFKtyI3FVLIumgnYwBs/pXg0RSmh3bGTvEpdK5KGEi6ynnhhfahxlMvvZjwrjqysD0lZCRWDUJXbbVEqhRXDohVIol778NaokH2pnGdYhqByKEMhPUSxXGiuPTHD510oRXEcTXw3g8izCxUQiSFVWDFURpl4SKPCz6UPm1aV5BUDLYqs9vASz9xL45qYfu1xVcmQX/qlX+Itb3kLL3/5y7nvvvvodrt0u13uu+8+XvGKV/CWt7yFt7zlLdd6rF/0iLXFWEWoRYAU+If0dD2N0coGNE5yKJUVJozyFlCBj7eXYukEsSx+HYpAXW75BGcq/49iEZBZ6UNDEeDzBy3PRBoVUhQ5caIM6kTpUiwx4sDnMtJIQg7t1owEkBk5fumgEQUirIwv5nNiweEqRgWUoxGjTDaC8d+b+MT7UgNWVoTq2WgIfTUJPIVYwVIrZLUhCciiEhJBiAjBOuSxnM4pg7a3zvEhRmROEi8Uhg6CyrBdKrGmCadxfxWIhViWomRvSEFZReYJEdpBrvz4Am+tahF4yguNNPYKOxCBkHhPZXVVFKlO5dkulZM5KDw9Nx/JMY805fNxKB7ZJJd2JGUp3oJJRKmOnRx7acULXEThaOXpt5EnCmgRtqH3aNtNUZSJz08ETpRdMxHPOPJCvXAS6lHAZCJkiCOhWPyBP95qw/dp84wl6++ZYtbVIW0KDToMPf1Zyb1ybi7f4sNNNQNsUoDWiso6yRv4863Ect+XfM6v2fD081Q8GIPMexBKQWsjBecjAErJOOJA1m6kZe2miSyW7aHcr1DJdR9Lpci3PxFvqjcS5TIeQ28oCf/ewNfYeOYXqWdWerJD5Zh2CAj9otSxdJzWOmU5Eg+90RRvc8mHOJuB97adFOCOc5m7NPGhulTmepJ7Y9J7g2kke7ERX788+FV5Kr/5m7/JN3/zN/PHf/zHu16/6667+KM/+iOyLOOtb30rb3jDG67JIJ8w0CFLzZiwLze/763IlbYsVB0w7S2kGqJghkYWYMNbkGnLd/81UA1kI63Ent9feZpiKLmKKJLwTGagGkuIK7FiEUUa8GSBvJJF3C1F+GglCz2zs7CG8on+Os9gShHyo0xYUKHS0ziu0j6G7yLKQNOKLQQpqRvSLxxRKc/zaLekFmPscwzGyLwYZJOaCI4vw1LappN2SXKx+HOfW2rFMsblCAotNFmdw5aT8EQjndFXlwIvmALJ0QwdHF1yjA3cGGuKUEgNVektvUSSvd0C0tAReSJEFHsL2UgiWyEx9UklCdP6HEtNUXa1Uqh83HwpFcu5r+CGZQnDOE9cMNaHs5Bc0GoK26UnNzgfN3eeVWck39JsiWc7yWQu4mXxJE5s+P5tngSglaybJJD/h7FQw3MnArCyMv6wGZJGFSMriqUZSocE/NocWhF8LhQrXkegC1E4ys08ljiFG5dEMdlSetw1Y2GqOe0NKCuhNGVESIZ1ktmH6jJjqQpA+bAwnmqrvEeiJY9UTnyDUOWVY0Oup8i8JxeJIM6NGFCVD1dNfC5oXMlxbojkOGkqRkphRcmP+nJP2r7mqihlbq0Tdpf1+6I04qUNjYSH67YG7RbcGHtPxO/TbglPaihKldCkJEmtMAhz6OVyn5pKFEc28aE45BqLXK6hP5D1HThZQ8uJ3IckCCjM9VMqV3XkkydP8tKXvvTA91/60pdy8uTJqx3TExaBcpjKEHuLpdWQEEvlrfds4hOJTl4Pff4iTSRE0vYKxVn/uUA2fi/ztQgR4JPVRJLMdk42rVFizZReKWSlUDALXzMx8cQB5S26ofWx6UyEjfNeQBDKBhvn8v80lDDOxDhGZkaDzA20k4hjUUTqwGZDjHFESlhDSSSCY6cvv52S6zTI9cVNePIKpElAhJGQga9FiCNRGqWTa821Z+t472+lJZZmUYkHuLkldQCpVwi5FaE0qOBYQ+5F4YV7q+GJEoHksmqPKs+kXUg1kblr+NCb9iFIXQsN7RPxShRBloklq/G1OUixX9MnVuuQGD7Mor3i6I8ktHbEj6eRioBrNyFeEk8GTzu2ThSz1nJ9GXJvauHXiqVoMArn6i0KL7gLmYuJ5wSrykiz0EqUSKXhmA+vpokojkEhRsWoEuGZ+7zQKJ8ZNmkoijYxEhY6vgQob6j4sJ6zPmznc3sWUVhJLIWNzTAiSAOOLtchHaGoxwk0luBIS+ZKBfLMkTSV6xmNxatrxLJ/Gk3x/rWCIBEjLdSwFsk5j7SExZeEkq9rxd5jdaLkxxPxWIaFrzEKYK0lHvVyG25ck3uU+vBnVc1YfkuJfy6MFS8zK3yuKJA1V1QFVWbZGoiymHgSj0OMhro4OJrLrwTe8IoSz65LZI9uj/2at5YwqOlm1x5X5anceOONfOxjHzvw/Y997GOLp0BeBXQQEiUJ7UabLT1kNJTK9RvXxMJ0iCAIAl/r4RdjbygFUsrNYuemEIE1nIjAqWPJgfFFkog124h84tTnZSIl56wreCsjyqOdQOk3e2VFgA4zCdP1R8IuUkY2ReZDIvgxilCopqGvtAFLsSaJYsaVYWgd6JAwrHClky4AlS9i07J5J7l4Ac6CTWQ87WabVBs6eUmmPRNG+7BFJNeSW6HiVgZh4PicSubDiTb09QkT6CrfF8lIjP1oCgQJhTUE2lc7Wx96AdQIRqkPFTU1rmspfQgGI56gQzy22EnoRFmxJut5TT0tOQokTxEpnzD3SryRes/Hyf0djcUqj0MJ6WiEAl0q8RqcY1rJrozMX/1ogZH39JpK0Q0c7RaQixe3FosALTxTqRWKgA61KMR2U0gdPetYW5LCRusJDj1E6NZED1tIi5bIyDFWUqmmX4tEAAe1IPTGUDoRZlk99wUIm0l7Rl8BVThLQi/jw3aB4qY05HRuWC0ln9TwRlNTyRMhY78my0zmdKkhyqzyeYiWN3q08uEhDbolreg3J76vl89fpCmoiSc4BLLO2m3ZF87J/E+cXG9ZyvU4KwaEMzOvXwezfVpVYrxMJrJWo1Dus1WglJW1jxg/40LC2s2EWacEH3Gon6UzrkAV4s00Y99jzEt5ZX3/NedIo8eZUnnlK1/Jr/7qr3L77bfz2te+llarBcBoNOLXfu3X+K3f+i1e//rXX8txPiEQKou2FcYU0wRhpGUhLoUwUUAOHSOx6iTyfZfwVcWBCFuNbNZja2A2xeJpIPHwXuHj1aEk+jMjGwnP3DKhFOsZBxcGMq5kAOmKZ4RVIjQGAdMHiDUDUU6FFmVVeEZMmorlFycJ2pS0WppjVBLfdyF5VTLOCzqDChXCaiL5iCAUhsxKAkNfL9Bqyusml+RyaCCIRljl6JUS1hpmspHGpQiTMJZx4Nk+USBzloSz1h3jwreXGcv1hUgh6NFYvLO4zBl4Wm3kmT26lO+bCG5qyRy4wk77ihVaQljKAoEILhv4OLjxVn7gcyyOad+sViSeX91As3SgvUeglVjfT2uIJ+DsjGxQKnk/Q3JhYSyso9zI2lnRIniONKAVhzhiVtpj1EjmeymQdbEUMu28W3jPNfYCDCBqKG5NEs52M1xNo9XijXR8uMciayrxSmcpEkbTrYnQyetnsmSe2dTbFsu6EXhl6MQbVDWd2AvsMhODYSWR+VURBDrGqYBGnNPPxRofawl3ukgo8yMjocLGkhhCdWIbK/OuA/EsrM/xxU2hHPf8nhl5ssgg8wSTUubX5KLoAh/mLCpRCo2mGBFayb0sSokgtMJZvrMZSkSh7pgQOF83osWrrUsChnlJoBwNJc1KA+UZmcj8OJ+jrFuvlLn8riK4aVnufSOR++iQ+5AAzTglqx5nSuVnfuZn+OhHP8qb3vQmfvInf5JbbrkFgHPnzlFVFf/m3/wbfvqnf/qaDvSJgKwCHcYEQUSQFLRSnzQOxMJoNaAfw2rLs7ti8Ua0TwBHka8HSRUr1gm7xVvMVGKhKSMbrqkl5LWUyIYYl+K6Z5V4OeNq9pyUtOXrMryQSVKv7Apfy2CAQDyCrdL3y4ol5NGZQJXn6ESzFobkmdSWaFVRVJqqrEgSWIoVmpCqKCm0CBnnxIpsIsIg8KEcU0ouocCx1BJ68ZZnW42Q2o/Me2YY8aQqb8nFWpSTs3L9q6n32BIJhTTbNd1asRoq+hUkoSULhBAQG8PmwE0pmp0UjjegDJoc1WNGSmjInQHYSARTVYoyLkpPDPBEjLrxYqJFAWTFrF6kUJJDqMkGVglTLzcSJlFaBEjoPZuylGvNnNybKpP7qZB7pl3IMKvoqoqlsJL8XAwMoWvghpYIdEpRNDG+HkeL8GzHUEwcW7piuQHORlhToo2EQqetUpysHxPLeMMWrAW+C7SGYQI4z3zS4EaiJHUohZrFEDYGohyXG+KpjEvv5RmZtwphUNlGDkRURsKPpc9b7URiFAy8J24KEbiFlbxa3Vuu8vcgDSFTco9MDhP/Wncifw9GksC3oQjq0pMIGkgxaxRBkEI5ktDlOBfv0Pmc1Wgs+yhRQpBpL4nHoUIY9MVLVp4UEQayRtEQa00xsYyNkDPGPn/krFCLAzdbH1kB2dAzNPWsWNQ6uTeNhvfgDQTKes16fXBVSqXZbPL//t//48///M/567/+a06dOgXAN3zDN/CN3/iNfNM3fRNKXT9N+MUKhaMsC8Z5JgyWhgjsZuLDTcWMEbMUy+bSRtz2SIkAzi0sKU3PGtKmCMphxfQZEUUgQrlnJeTh8AIrlJAGxlvokXynftBSUQilUyPeURDNqsUbDUlAbmfeQtfiKWz5OH6hYSlO6OYKFckx+7llJXUkcYiuLKVztGNNEovwrbSvTM9g5OcCpHaiyMXKL1OxvCYhLDk4n8mzKHJPT629gVabaTPKxDN/Gg1/DCvJ4aQluZZUgQoVawrKIKZdZHSVYi1ylHkltQ8+dxHFcLyd4ipHNRqLVRxKeFF7r0V79s6OV/74+xQF8l6sxOvRevZIYoco0nEpCiFEPLdAi/CY+GOjfK5MSZhJKwllhoEIuZbPaZUGjKmk2A75fqBE8bhA7tWg8lTgSKzhQsvc5oF4GxMjgl5bJ32oKEkDEV6pZ4PVAs9WPvcWiWHSycQ6H+aeNWd9n7iJ5KO0g9FIlNI483kBO6OWh4jHZpQvOoz9+nQBlMX0OUKlpxa7CumfFXgKe0OMhrCSsY1yz8JLZFy5n0/rc43a+IduAZNU+sLllTx6QCnZa4URjznSTNv2F9r3NEtljxg3o063G77eygnxJprAUGtWVyzjsTD1FJ5ko0GjCJSiCGRvja2EjZ0PoQXBXK867UNmfr07Je9l1u9h5Uk+kRwrDJtEj6cnP37gAx/gxIkTHD16lJe+9KV8y7d8y/UY1xMSSRRgjGFSGmFyJbBiPXUzkcVSpiJIdCix5rJk9mQ7n9APIyPPqh5LDUMY+mp57XMqxlu9SE2FUwqMI7RitSsrcfTVVBZ4o4mwbErxdlItgqcyYmUmIbgGLBlRYFEgYYfAs5aaCowKaMWSEB8auCmR8+SVwWAJLHT7Od2xCP1IMW2E1w5mie1Ci6dUs+CWGhpdKh4ODe1YPLulAIqxjKURMX1eSCuUMaexJFh1DMeWZS5TX1dTKWgrRx6GtJRjRytWAkWndISBKNdBJpu4KiFLM5ZCxTgOaesKE0Y8qZFwzg4Z1eGtSLypMd7r8PH1KpMQWqh8QaoPbQRKanA0MsZASa6gO5B2Hd6QnRYDliWSv0KuNZt4a1aLV7saBJwdGBHSpW8+qUToq0wMkWV8SBSx4OtwU6KYPlF0MoKwZUhT0DoEI3myuthuyedlYi3ecFLBTiHKYmLl/Z6SB1QVSoRvYsRYWl4SRR/60GRu5NrSSC42cl5YGfkJNYRY+ih5Jo8WT77y4dPQiRIzxiscM+uCkIa+3YqZdYPIfRgrN95IsvKYCWXF+19J5YmZeSZzuNIWRYcSxp4KJPQ6sLLOMiuGR+Up3KEnbJQloDQTZWnGEcNuLorT58wqw7RNPkFI05acz+T+1jmRAPE+Jp6N6Xzot8zFU7SRb6nk1+gI7yH7XGysSpLwcRD+GgwGvOxlL+O+++6bvnbTTTfxV3/1V9x5553XY2xPOGit5Yl0xtNulRRBpczi7XEki85YURIrnjUTKNk4KM8g8TUHyy2J3QaxLNogkjYPxs3c5OUgYt0VLC+L0qAlFEodiOAbTSS0NcrEml5uyqYcG9m0/VyET231YyXnMShEGeVOChydahDFcFOkiFVApQMaCWRFhY4iVFixrCq6mdA9g9TX30SAk2rtRujpo5VYx5WD5SSlORqx5TecqZj2HascBEvS3oREs1xYtiqJc0da5qbhv6NDz4SKYkKUVFU7Rzd32MpXYftkeqZlHnQQMygN3W7FBLipUTLWjnIM/b7cx2NtadaY5L54T3uhH0gUIvcxfhOI4K3DXEHl713iaxICZs9jT8TyHU4k5NJu+Ae2hbJuRvhaJRUwqSTUEYS+db8OGOQiUUsn7V2CxJ/XzsKcpRHFE/v8hiSDNTazVEFFw0qIqbSeJBKIh6EQRZIDNoOt3HvWEagStiaihCIryqXhmX4hIpjDUAynRuQp7E68h8IrmSQRj2NsHEvaSPeDmrIbe88nE8WNV56JN860Y9YBQIHOZkaM9USH4UiO0/ZssrruaUl7IoNn3x1blnXaGXtjJRHPM1dSuT+2vnA48E0fA7nvWWalo7DLZZyIB7bW9vksC43QEStFESnaTUfu802NSDx5Z2XOoliYbRPr1ya+dsiHWDMfdTDeGLMFZEZTVPa6ybFDK5Vf+IVf4N577+XlL385//bf/lsefPBBfv3Xf53//J//8yWZYAscHs45GklAKw0JTCU5ECsKoHS+OjmQxVIXh7lKWCxpvJv9taxhwydbK3wr7UBc+EpJwrORKBIUPSO1IZ2htzh9orwZSJisqcXiCVIJF2SlZ+YEMq4khKAJS6UImXYkG8B4CnR/DL0mHEtDlqMEp51YSlXFwDhiDKmOKYqKUksNQNcneseZZ0YpERL144arSsIAeWnRcUAj0eihler7FMY9uNARYdtEFNNaaCmVCPXCiAdRV50bJ7UCsdJEWHm4klLSQ8kndRW+o7PfvGYCPV1Iy4xYGngONDR0QB5WxJ6OHCQiFDMtrVYmpW/HUvr6Ia8wVptyn0ItbLEBTAv7hkYUUOnDkaMJ0/5rWFGKjVQs6go5z9YARqUhMjMllgaADrDGkGvf7TYQckaBfH+Qybga3ovSDlCyNpIwxDSgFSdk+ZgUQ7cvAk5ZEXKVls+b0re9T3yOLRTFcCyR9Z5VErbsZUIRbnjlifL9zLSEb6lgEEn4alT66vMImqZkrCLiyBLGTB8JEMVizGSevBKW4p1bP89x4kN7pRhbWnvqsc9BpIkX7t7LqdvyVM7XHkVi3KQxZCPv9SLXF7U9BV/LPsTJudteYbk6hNeAXCt04KQ418wVcNYejS7RzhFp8T5CrwcC50k8sUQBCitMO2fkHjeUeF9VxfSZLVSyl9BSulBcv5TK4ZXKn/7pn/Lyl7+cd7zjHdPXvuzLvowf+IEf4MSJE4t+X9cAlbGELmRJawY+ztv3NMOSGc+93fSxUydeQulEuLQSWdCpgipUrMWOUSjtM+onKeZITNpGEOmIHKGkDAwkTQh9kVy7kAaKdU+pyoiVWXjXP/SCMszEKnIZkMiCrpDkaL8vbvlyGxIqJlWFw5I7iEpDpxTLNMshN45QK1wprb7JharZ8KGJUS6FXyqDsZJ4edqEY62EOAgpjaWR+kp2n+COfIguRzZ1roWdtl0BTqxO4+sCjiz50FezSUMHTCpHbCvy0HFD6OjmZvrI18TnEcYxHGvHZJOStnXs5KJYNoqcsBAKrgo8oyyCuBIGX6spgsB6IoVDlFUjhjTWaAudQrRHlUsYr5nKmNPIh4ZCMS7GlXQbCD0bKAduCmDDek/XyFiPNBtgCkoLVIU8V8TO1ZAkcEwJQ6sR+AJWB3jvKTQ+7KY1SVXQyxXF0DD2Sfcw9OuwEu82SJk+TjjQMnZrffjPM95SI/eybnRZ1Yl1KwK8GQpleViIkpnE8lCtQSVKs6PhWFJKjYkTpZO5WSui5ZbP9yQypvW+b/uCJMnxiiYM/LxqMdqs8d5aJESYorb2SyAS8kA7hihRLLUc7YnMff0o6rqYFryx5SBoyP3frtl9ISw1HDqSPWwQoyBEDIiGz8kUhSdtKPE0slzyosp7t6WWJH5WyTNbDBKNSGOfTwmFxh1Gs8JREE/oekEf9oMnT57kJS95ya7XXvrSl+Kc48yZM9d8YE9EOBSVskx0IM9ymEjIJ8/FQrLWVys7CXE569tjjCXRGdQHCiFxjqFWtAPZlMr5MIWVTZNoiKlwVSVPWFQSgy2dWEL9UhahQ4RuGgndstGQfMpqQ9g5Skt8l0Cs68KIMC2VbJIkhiiFOEr8cQ15VrJVGiIMk0qJEKkqhoWTjsQRNFbhxlUtFf/+2q1n7ZSFMI4aEYQ6xNpKhKURAdBOmLa+CGRo0pnV+jBFOKuVCGLZsCWeMjocsTHoEdkRSivWkogoillphDR9Eh2v6FQFlXUcb0WsrbRZa4Fu+FDXErTXRAFXSpLhNpAc1ngic6UrMQ7SROYqDsCUlu2JFcHmw5W2koaCeelbqLR9DUvDP2dEAxbipuZoqsijBgESfgnwZI4yx2BohA6DnhoYAd7AyOHUUIyCwoeyUEz7VkUhGK2oioqzY0t/krPl66AGY1HOjTp86MkFdaX+xMpY62fZxxFEDdC+nmlQyPqLtdxr5w2kSEnvK+0T1W0vNGMkVHU0lpyhsTJPQl/3YS+/ZpfaYlRlTrywRuzrhAq5zuWWT6L7hDqaac+54ZjpM+x7Y1EwCrmmlQasRhHNRMKbYeC7PCA5Fqd8WKvyhb4+PF0Z8QQnuezLqAXHbtQ0ljxzLoSVJCIIIhpBgPMezqgQg65EPJpB5g1NZK9OxnBhB7pdyb1N/Dl0KB5w6WYtZ5IwxunHQaJ+MpnQbrd3vVb/XZbltR3VExSRlo6vS4EiqzQWi/Mb6cYVEWjGu+lOyWaKQ1m87Zb3GOpYawQt67igZZFnhU9ahtJgcjWGvo1IycW6CUWARJl0AW4EkvAd+XxJqoFcNuxyA1ZCxblMXHN8onnsvCAw4jG0EtmcaQS90QgoKXNLpcTitEHA0TRkaCoqHBj/nJVIutiWhSTw26lskl7gWU+BhImyCnqTMdZGTMbyoKo1b7W1mnAcv0mbPnQYShgvt5JwVQFEXrDHXiGFrYS2cwyMJsVQGMPIGLS16EDRCh3j0rPyUminKc0gJM+t9E8rmbZcTyrYnkhoJ8ezipT3ihDFnjrfXgRP+fbWaV3hrfFdBIwo8yRh2vAxDERgh/46V5VjOHFU1WTqnblQEUWO0sWMswyjrXw3goYRYdsEaMBTAuhUcMTPbX3OVuBzeMbRp6LMPZXWh6qiCIhE8RTeaLGRKLvh2M8r3puyEoZpWqEP21DCpWnLJ6uNKJ3UJ/ObRijPoRbhXGZSqX80hjiJOBaHnO1PcIbpc0OqSsK7uYHmBM4ZX0/iPRGHsLswksyv27ZYK4I/1qJ42i25l6NK1tsE+f5S09cbKS0dCpzfe36eSiP30elZ7maAJtGScMpyoSrbEJYd6NxiM1CJsOWMMcQKwiDkSKw5X9np3Gq/v5eaoiR1FBMVBZUTw0RpiQygxTAoClk/RyOmjyeurEXZ6yezr4j9NRqN2NnZmf5d/38wGOx6vcba2tqjHN4TC6VVLDciJmWTVqTZ2BpSWdlAxkq4Iwm9Yoih6yT00ahj9PiCyCSkGFf0DJixCIDVFKYPmS/hvIHjjZxuCa1UESjNcGIwWhZ8hlCZV7RYiYWRZF/Lh9J2nKMRwlbgKbn4VibI/0tEeWkf4zYouuOcXi5KKU5jmjrA6Yhmw1HqiExnNBua0Fn6WSXKaCJCwigp6CoD/4AlTyPtFY7YFNJeRskGP5rM6KTN1LdDMbN2N1p7ho9nK1GI0qKEosikELMBxiWUQYiuDFsZtAInj1tWgM9Vqaqkb5GaDYV/DHFAmRsmgSjXcS5CJow822kif+OZSqnPkzkfHlJ4okEg5zliJARWd75te9pvaZB8gw9hnXWOdixzMynl2E9NlPSzcoUwkNKE0FiG45LM+hxLDE3nn8OChD9XWrIeJ7mjV/k4vc/YT7RQtxttWSsndmReEx/qy6wcJ0qkcHZnKBb7jUsSrllqigWd+XtjATuCHSPtTRpavGpXSm5iJRVPbZzPqtInlRizgTGSuFaiHCze40RygZ1KvLEMn6R34ulEPgSVBEwfvBXGIrTrnI4CihBahRgHVJIjbKegYlDWsuU95/oR36st8bZiJTmQUPlc2MRirOSNwHfGwBNNGooqkhZFuVLEYURRGYaTAu0sDS3erq1kzUWhKFnlQ5mlEy9RNcWoC4LZVm82ZSyFE69mDNweRxTuqqpJDoUrOvJrXvMaXvOa11z0+stf/vJ9P2/MdcwGfRFC4agqS2EqwqrChb44UcFyoBgXjmYIq0lMWTmSoJQKXyXu/1riK4ZDSXiHFWx7t79S4n1UFRBLQdokiFkLK7SK0MpBaOhriYErJ5ulbqFeWcmplFo2jx1J08cjDakDCJUIjkEmYanEs8WySpReYS1ZKdZkaSHCUlpFGDpZhEoTYehmFSMlVnSnLxunFvLKSBgw07KpsqJu4hewNDHSfjwUjn8jDVg11f+fvX+NuS1Ny3rx33MeY8w538M6VHV10Y3svTFRBEkjJBAjIaKRtMQYxMZWY0wEI5hIMIio0U+0KOCn1mBCDDHdGESCHDSaiGIQEJBgYhACQf9AN129Du9pHsYYz/H/4X7WWjTtdldhV9IJNTqV6nrf+c7DmGPch+u+rutmoVf9PUigJXDUHpCdkQCxdnbR+QheO1KuNApTizxKDa8ksAfV7dEnsUe5rZqHJnNTJPGvGawpxCZBMSE3tVFSoY+jvOdTlECom5yj1AftkxOYyyvpSi6d4v+3CN0bJQH3+tADh5dAaKow8aYqXmmtdVpthX3RvDJqXDI8mWfUurLPkuC2/dwYpNPxSgqTmuHpHuLayIhG6CaB9pnxORTqeJtVfEQ1zjZJbGSQc7lToIPiwjSuR7GM100sTJzqHm1JqLBRCzEkeXhp6LY/SUgQycj1pZR8Z7YnWdNhuaXB4DyjXzgskiDXLLDaS1q0NUOTa25jeb5lEiPn7e4gUGQrUqTpVTrJqaMAwcnw/2DlM++rMMGUkjXXT02E3glsp0560AIjGyvdzsbJ3Gu3UbQoGp+i+jroUbRisWhurwoZeHDWaGZlTpJAnq1HTllmOrFfB7lIl1pbH/B7eS5tekdYEOZF613wMwRAQ6yKrX/z4tjrTip/5+/8nTfvXbx1AOCsIanGkjIxJrajtNxBQSoNZ+SG3KuEsZbRS2Cnijjy2sD9LVi/pV4dODTwEW4qPNh0I8nWaZ9ebMqV8rK3yRhaylhTn4sGx1EeXxW4zuTJWYLe7hzOk+yy3/UbqVrB+501xKVwjD14BQg2cKYSRVW2AZbcWPOKi6JEe9k7Dn5i5xtujdyRGfVvuOk3co6aloVEa4VX7sP56BjtyO7sRDNZMHerQVnCqDE1C4WzSvW5m4Cq8baK/sciN58S2ulphouzRNYGay3VBC5YeXTK4vbqZSAaE+wt/A6VuFsNtmVh5fWhtEeU6GOfMykj2L1uklxMk589Y3aG/t3UHgQwck5vi2JwTWz0u05INxFGXgZJ4OdGMP/WCRu5iBX+NMJZytxiqVrLdlAbCDozlyIriZsE7FIkGKROBmi9Gjaprx3us7a1v0YrlX1rxLlyN8v3PnSG1kePcGYbM1IUPTMXNaXDXVtJ5tVKx5CqwK6vzUIKUM9gPSWuuudeCpS1sxbvbzqFNoI3i7g2T3IuN0EKj6xltvdsr4vV8hm9lVnW1foiAA+DnLsUwK6yM+Vy6o7XvUM4dNpwM1JYdUIVwwiXRhhsyogT8NxZXGWVfT9TgzU2zoP8rY3SZd7zBtsaWVc2G/lOTxm2KCanWGvDqCZddhPW2dRnI/REe710ka8WWC1FKUbGIEmx0cklnVE2Owi6oM0nQafyVlJ58w+twDWFomGt5sFkuE6Zra1y0dIhANO4aImrRQLNcZELyTS5+EM+iJq5wWkQT62qewAzXXHtPKP3LAXWdWa/FGoTAVlrAp+cTnLBbkdQo9xUsXavoSaV5C5A8I4LY9inxhxX8lrEd8jKa6YKO1Mo1rI1sTPXCrWKxfvLRnFTLBORq+PKqgqXXqCv0jqzqAgEU3LXInR66ZoTW+PRJdO0BKnrueBrkcVIzxg9AFVgsLJUnu5lFqC9dHkTArU8sHBbHOcmo9DUFNkvmdihxx0CIfgJtg32auTlsXBMgZt4y+QUWmmsU9SUOSEzrVKlkztlCXDpN3RL9KBnNaCl6lyjwEEjVYwERwijCNw+ukqCdD2IaRdwZuXpSQLNsBFmXFxlznQWCqaZvh9+lW2gGhhkKJ2ynJu1s8wmJ4n8uHYdiX5hUDl2MabRiuNauOuaif3y7LqS87qfRQCpjeh5UtfonGs5D1OQz71H6LAqwAPfK+rciSRBGHxLRir2KkWFNrAZDRvTcGYg1BOHVYbVJgjzySJ0+G3ootl+Xz3zSLO2e2V1gofWYh75JAmcmzqZpSTASvLGS3AvWWjy4yDfSxnk8SkLceBs6FoS0+1uAnzKbqBlRTvOpA7RNqNZY+IQpQhoWs6h1opgPCoXKgXvpPLIpdPCEcJKGeDBToqWZ3tbmub5gjpd5B4deAFfOwNzrpRnW+nehOPNS1dvHW/4qGju7UZeu/PUXHh6WlBOgbUMtjKvFe/h3OqOh1eaF2ZJTHJj39vAMI6kNXJ9KiyLQDuvXr6weMgaNjZyVSujNaLg1QafC2sPxGPoMIUWCOfCyGwlV6nGN07xeN/YR7A2sQ4K76zYnmu5uFW/GV/ejCg/8WBQNHNE9aUsZ7YKE+xYOLM3POlD33s2AJqxztweZI4QjFCcG1J13Z3ADn0+obLYk9ArVC3VddEdGzcKoxveGapVaJXZNnmuWKEepPK9N8GTDPddYtWWh0MgRsVHUxJhnYFsNVtjaCmRreGdo6Jmh1KVjYZlbYRQOmwo5eEzG5xiYbmT4bBTslPkGQmnIR1IqX23i5GgcJe6dX6HM49IIsk8Gw4bUVoXCaYbJ51OU1A8TJMlKEPzAxeq0LQnp4TShnpYZC3uKpTXwcjrlNpp0xup9kun3iorgXYp4I2W5NhJBSYJpGeTJPGzrcxVbrNCp0ZWcv093sMrlxI4h22jrvC0wFCl0nauk0J6AglOXnt0smEyZvFVGydpre5ti1yjvYvSuavIjbzXlrqFTGvcHsUgUpUXFbweBVrNxbInsynCXNx6ee3s5Hmezt1doLPGnq0J8EOnprcXtOgVKeJqFsr0vQy3a+LcgT2zTDFzBGxKPNoDWjoe1Wch61ppdpFZkxaKeTbdqqhonpwqOIErW0G6bAu3TVigINfQXCXBnJSQRZISMk1tWeaCb9LxVlL5JDqsquyXyBIXsqosBRqNFDNbr9l15s84jGxr4deXhTnJTTiMPBfqmVYZnOUYCmkjVco+Cq48TnLhRhvYmSb7Upzl0hmuTlHKMDpujfwTtNywz2w8ShUblqTkZt6v0HIkE8mdRqqaYMwtwSElzvSRU7aQZ7SzPBgnYtFYmyCu3KWCro11gRoynioW80aG0PtZgpso6OU9lNqTCys3Ud5bU0KzPp0Eu24bOHcNmyHnwtS6fYt+Yc2R1Qt9gI/w0QoPNpnVLxznmf1JAkUw0GLlqKrssamVJ2vjvi044zHeo3TCaMthToRQME46ubwkTovATcH1INQkkWwm6bDuat8HT1fLV+k+l1lwe2U7JNRnIk5DiYVieb6kyxlxBGgV7o5REpXOTFSuTxnnMk6BpjEOArGtvbJfkbmbtrLxMuVGK10/0SGfx3MfyC+RnCS46iisPWPkGhk9PHCaNVU2qtG6zuVplcR4OwO2caa6+3MFqnQZ9yfpVmLH/72Tc0cQgSCK51s2Nw50c7S64hqQuxVRV7ZjYTsqUJ62rsxVdDTCrJICaVB9hqWLuAb0mZFWnWKcYHECq90lgWFVk/Nd+twvZkk2zcm1qXoH2pACJzq47x3zWpivhdhxZuCJ62yu1i33rXyv2inW3EgNNqZSreKsNLEwqpV1kfPgN9Jp2/qClKKMEAmik85+afJ9ORNYWTEatFJvqjfjW0nlk+jITRNz4VQaKUZRBw+GSYHSIy2vjN4RgEOqNC0VVVPdA0ryAcEZzvxAU5abw1F2bPdWeEyil5jqKnoFpQjKEnOjrpl5hfUgrJczJ/OUtcMjOcmNuBpItmGqBIsU4dCHqFQRaW2a7HRQFjbesaiBZBrKBqwyNBu49LDuKypnVJIbwmiY18JV7kwoI9oHqyQJ5ChD6VpEXLlUUA9l2HysnZlj5aY9FYFyjHGYwXPfWY6p8cAuPJkjmyBQVoqSlDdD74aKDKY3MXLIXcCopGPASuU8z3BVGy/5mbl5SsssS5TKfUgijkyVdQa7JpSVGUdB5lKDlfM0Gqngj01o3klpfK3c9q6l0Ae7WjaBGtOFfkq6ihAcrWmuVWFjDaUpDktiKTKH2VpHiplrrTjbWFYCtUYUSlhJpVugWAnoSzP4WriNksxPRYL+kqSAeBZ4j04SoNbCMBo2nRLdKbs3zbNTKzcorK6YLZw3eFKkYHFVbOqfLRFznbF3zAqlGqqz2s5J3GYpGE5V/i5nUbIXDSUk6SABP0qXZE3f8pnhbm2EtnI7906wSNVPZ5cdU7fnbwqjGk1LwZH7LCwDZpXrLDwjsag+K9NdAzXLjPLBeXec6ILV2oSpmE5w7SIvDYb5XiCsK1cnsUvaVykqBgvBKGJqxFXa6ODAGEVAc12LuCmnvmPGCRR7M/Oc0YmS79AGmQ/enKR7sh6SW8USCEi9cHyzjreSyifRoamknIBKcHARNsTaoCZqS4zOMCjFTczkmkTXUfue+tbtMYBDzNR45FQao5equCItsh4Ul95RlWd0AuOcGpiWWJVcn8cqVc6+01fn3CvhSW7uKXTWzlbRjCzVMp3x0pBAuV86TTbBMUZ2Hu7mwtUpcrnVtKh5lCEX4dhvRk1OomEpAEWGmudBbgyQG+W6CS33TouYLrhuB68l+bSubTghN7QzkHNC5cIhKVQqPCmIoj52qw7dE1iTQfFpFUjo6b6wtfJ59TNLjNbpmg6GFdai0LaQMQL72c6Cq5IsmhHx56bB9SrnzwaZD+QogdWGzlJSjjNdmZtiso0aZUYxaglQk5ZzYjTQyRSDdcTaODOKYyoMvfpPvcvZq5lRAUtlXwSff2ZLk5Qk59RkprRU8BRuO9y0j1KA3BWBpWKnIMcIapX3vhlE67N2iLJmMWIMduFGQ6A9Fy7OTrqNJctzbWxX9DsgCTtsExpLlVmOVtK9tUVmHbtnRIfUyQwKDqeV61XOdUyS8F4aQRfDSRXOnLz/wUmicEr+/ylKsk5JHKSDq7I8q0p1vzHyb5N6tY90soOV3506eeEwS2KJR7jSMJx10a2TDi72GeDWaOao0MeVPcJ0m5UkvuuDdF33d40wWbbOk5JYChkKGiP/topL04RRGTRNwQOv+fXbTDVynRQlAtus+zroLIXDfhYLf+Ug1fqmxrG3kson0aGN5d5uw+Vx4Xi64dQag2k0M6CVYtLSoWgqaxTNxCbAcpILdNRSXc0pIs2FpRlRFVMk4Nq1cZMiuxAxKlC0YVMLxz5Ibr37qFo2H+6jBK9YZbi4HKAFYY6tuRG70NL3Krb0dl41CZpFQ6mFrC3j4DBrJDbNqjQKERlmROWbW8Lmwiny3J04KdiNBq8tp1Rpa+I2yU2rOkQXbF+AxQtDwnvN8HQphCYLqMLQuAgjxmum48LNnLBWHrvEHjAmEYlZ1ytfBRjDuSt4ayklcxYGWqsYNDesPNzIVPawrM/nC0VL8Er9O9EZalC85BRP1yp2/UUGwqdFHJVXBQ8vMsENrKdEahnnZU4izsqK20MTRbcREoQzClMLa6rk1iTgZ0lkwcr5ORsH1hip2tBKoSnHWdCU0qjLyl2Rge3S4EIrclMYKnOWhGOqwEANSSSz4vkK26C7attLwqtNku7G9HlWlc+pW1+eFeAaSfopQ7Kdno6IJZ9reugD7iKuBcf+nHMW+Mp2ePUUpSupsySOsc/w7jIMrkGCq57Qjqq7EyP3iDPyOsZKQaKbJMSipKu/XbvKXosX1zEL2+44C/nhcELWJey644WTe+fpSWYvRnUYzsu9d6r0mcrIRVyJpXIRDDkWapHr5pTgXGfQCq+VdEExcVKF80FRihYx6ijJb46VRmbjZG/RrGWmSk8wp2PXD3UadEOKKFqjtbcG9b8tDkOhlIrVjXEI4gC8ZIJOGG2YncUgrCnnhWq6ZhF4lQzXCR6ed7uWAseYWU7Smj8zlExKtv+hNIeqGXUjKcuFh8UnwZhDtwxRgvUeS6/UDv1Gj3ClhOppO8OrdNhBNYEUFC+sUvYJXqqVmlXft5FpcWGNlVYyNkHSKxvTuO1VXkvyd6pCq4VJF06dPu2UBCJnhCK8GToriA6NLOCGItsyi5zbdW2c6lHsTJziYivPEZduM1NkmdJwAa+cTZxSw1rFoBWP745cnbIIT9eFuYrA8SI4jLLMZSG2KjCkPJXAVKqvGdBQYuOqNnSRYemms5q2Y1eKVyhZcWxZkkIfPCslQTSnxrIIDTfwQun+NFfimrhe4eG2z8H6821HgVS01jydI0uBl4fM5M8oqXJbF1TuotUIT2Mj+MbGCcvaWOledJYuK0x9VUKRgXB0HcPX0mVgpJvUTYLqxZknrI2rKMu81tatgHgxgFcO0XqUbuDon81DNBvVyBjqTeZDN/J5rBLm07KHdtGH7F52nsyLPMdWgyoVZQSmOlVJOKc+YG+d1JDiC+ditMBQLfX1CSMoFEuU2cZkXtynS+7v0/SktxfmWcvC9PODfD7X5H6pHja6kVJjvptFrKpFzxT6dbtmoEnysl6xsU6W3wVNiJGbFcbQmIzjcEpcrZV7Uy8iqjBAM91xokl3HIbe5WbpLmsn2Rit31T2l369D7y9veWP/JE/wvve977/7eO+6Zu+iS/5ki/hcDj8H7+5327HWo3oRZQTVXDOpJK4i5ljziwxUdA4a9i4gNMGHywXQYJIcHLxzAVGr3Feib9S61vssuC/h1NmzhHKyqE0gm5U49hYLZYlTjBupbsPEgJHzFlopnerwCCnLo6MCeJe9COqSpUZU09AVQbNa414KztJ1gprayQheZIDbMaRpsfnlM0VuUGNlYpPB4W3EgTCILbj3sHtAR7dSVfkAUxXVqcXq5LHLl6zY2C3GbFuy2gtrsks4OVzCRLGdtPHAi9vHS+HAWM8wSkKEkyeFAhWc5sURWlKzlzfRl67zhxPAiV526vtoETlXyVI07p4FNEv6P5ZnwnV7lIl6MqAoVWprFGSWE7lxcwpNqDAdWpsKByLBP4ne577YA0jkOE2NQYHQ3Cy52YuHONKrpFiLcNGNEfTuQyK50WqbY0QGKiihZiTWMKXLKwnZ6TL2u+liLg3wuSVdFAB7g+WEpuo3pNcD3PvXL2Tz5GrBOWYX3Q3O9uHzlSc0owlk7VQ1zHShQ399ZfS98xrOU8X2xeOyM5YRuew/fq96yQJ1XpxFYUdpftz6j7nWRGHb52hrCJ6bZ1dlZDCySOJewriHeaDdLnj2DtEJEkfOo16MFC1ZwgeNcj72/fXdwEuLgLbZ/M2gFK4nSNLPFGXhbta2XpYDpUP365EKr6KQeYyd+p9kY57v3Q3ZS2tSaxSiFQtUKbSoLV7UzuV151U3v/+9/PjP/7jfOVXfuX/9nFf+ZVfyY//+I/zD//hP/w/fnO/3Q7bIrdzxCJwRbCWiiZmOCyF/RKpNcmg02hKa+QlP7ey9z1gDwZyU/janu8q3/l+U7jOn9cKrSyDalRAl8jdWgXCyeKxFOcX6uxnSuqX78M7LmH0VgRsnYWlB3jbfSRwKrlxvZfh6cUWtAocY32u4D7FTCwZpRU7LXeu1YWdN1gHL20EtvAKyLCeGnORQahGAtFpL4PLkhBapteyK0YpSYydPGBU93WaV+a4YspMqYWqJSAlJcrtZxsUS448jZXirajSk5b5jJZFZDdzZWuykAdyZt/kRk6dQLD2YbRpSt5berH2uZVeXfa5gvZK7PRdNy5MYJxi8o6qFC1LonJNKlLXiQtVdWcAbXkYZN6124D3Fqc0DsVi4P7gOGWLqlWop0FjjeOQGiZlahYX3aFINT5Nch3drlLh1gYlSlIYg8ArtfQuNsBuJ5DTXCFoJbOEAq+dMoecmDtBxHZo7hkDDvVCTLkJQt298NKdPjNJRFWqNaI1cUK6uJjgctO78SrXhurst1ShxmfXZCbXijeGi8kzjpLMYul6rw7LLYs8R84C7Q29o2kGML0YSAJ5mda7Ky+JNTW4OfaCzkqCmUbYOvXc2miNkpAtVUqoJHCZrgItrissy8oz+8QLA0pplMospRGVYqcUx7WRbHdjmKU48U2S6rKI+HVdJNnlAq207tcmBdYc5fWshslK9/pmHa/7mb/v+76Pr/iKr+Dhw4f/28e99NJL/Kk/9af43u/93v/jN/fb7ThljdeNm9RQJYoSVjd2g5LVrcERvGfjJ1AWpWXdqDLSUbhOwzwlgYyas+wu4cEoVcpFV9h6A95IV5SaDO4imhAsysoNVZHK/G6F+SAQ2M4LLv5w49gF15XrkmxUD5a1SncSs0BTY5MbJ60HlrTQYxumNpRW3B8sl9OWi2EgGMcmBLHUUIpsDdsR0Eo2PvaZkTY92OnfYI2iobRG04ZRG5kPqT6Ed1bYYhlyrtzlRqJRi+D1Z66rlKtg+lenzNXdgY88fsyv7q8ZTcE6zcXoGM8nXt4FvNuBNhgak5ZEvg1dYNrhFG20AMxekmxGqtTLjdBunYEaG/skA+HbGWopHNeVXDKtyt6LGKWCvtwJbKOR1+i5GO08G8Qm3+rMzlacC4wRns4rQS84awgWbKnEnHBEmrdsRliNwoyOs9Gx7QIGW+X8jl4qcmd7wszyWe5NHVLt708Bxlm2zrF0ksJ+FqjqdAePbuQ9j76r2pXARBvbiSQLz/e54C21wdO5sUTZgrrbiMq9dZjtpQfiqDBtuyYHuRaWDvGkBmiDVwrVFGOV7yZ0dppV0pntRikIVoDUbV46bFvbC7KFV9KZayPPsUZheWkDl4PAwF5LUjvVJjDy2mEnJZ2i1w4d5JwbI+dmzvKaz5ygdbBswkBtFq0UTiu0F1KNLjLDskZQiTDI3yxZ/u17Vx+cXMtz6ay9LLTwzUY+b6waZ948SvHrTiq/8Au/wO/7fb/vdT32Xe96Fz//8z//ht/MT//0T/OX//Jf5jM+4zPYbDa8853v5E/+yT/JL/7iL37cY3/+53+eP/JH/gjb7ZZ79+7xZ//sn+Xx48cf97haK3//7/99Pu3TPo1hGPisz/os/tk/+2f/y9d/vc/5Zh26Ze6Wgsorj/aRuSamwfFg3BHCwKVWtKaYPGysgVQpSVpt9Ww424VyYrConltjSGLRTEa+dGM0o7OyFrYCteJLpnZFc4qdotyrcAU8OshN8OvHxN0SOZ6qbEzUon8ZdBfK9VlMyjLUf/vFQLEbtHGynRDQwXFvs8X7LcY6qhYMIzW5kfapMR8LV0cwqgk9tAsBg+5Kfy/V8uVGksFxbhxjITdR19fOCFIxc+hD3VOHQA7HfjPSVfalD4KbBIwEtOCYjGefFEuuKAUmZVpreFsZtUYZzyv3t/zfDweGsUNfTc5bLWLtMh/7Hvo+D3IGpqAIvTNyGrASDA9J7PQbCmcVSsv5tEh3sPWKaiWJxgZ5jVzPkbVKQLEYbrKh1MTJwiYESgsUbdl5oXKDImJRObM/wGFuxDUx14Jxhs1oRDMBz5dB+T47q6YvbVOKhnQeV6dutb5E1pxE+7II26hm0AEeXkoXVLpIUlUZaNOZaNo+m8NpTMkMRjonY3jOyjr1+c/hCE8OUpHfG4Sp+GxZmW4SrDXShc6tsVbpJjU8t58/24iLcyxyfYfenZwPsp5Y5T4X8kiyqR3m8pLYthvpmhzSxVAFYluQ7zNmCfreSXf6+ObAPs1sdCZ1lpp23cMu9STbP2drjaAqo3ecOYNF0zoj9Jk+KSXpQILrnWKSa3hrZc60dBlAq8JIPBuEbr+bDBvnUPo3DIk+wcfrHtS/UQyu/hZoa3/v7/09fuzHfowv//Iv57M+67N47bXXeP/738+73vUu/vN//s/8nt/zewD40Ic+xB/4A3+A8/Nz3ve+93E4HPjWb/1W/tt/+2/81E/9FN6/cEv7m3/zb/LN3/zNfOVXfiWf+7mfy/d///fz3ve+F6UUX/EVX/H8cW/kOd+so6EwRmYNVUPFUIuA9Bclcac87xg9a3GgM80aQsvcrAIZoLr9xrNTr4Qmafuw8sw1Tk3hnCUYj9WO+yPEkgHFyQeGzUo1HTu3Uq0dO6beemAePBRX2C9yc5QiAQ0jVe3NLIHQ286kiYWX9cJTApsAZ4NjZxytVJTJUAoxO5aSKLlwSI2apMWXxWOaZCoDPVF56bpOHsxJksEzTY1GoL+aGleLdG+561xq6it2TcEH8E5jlWGOicGJCp8AG9V9lEzkcvA0NFErgtGkZtGqopsio9gER10Lc1OyEEpBMQqHUD9LTzDrLAHt1RGcccRUOJQmCuqu0RmMBLlU4WwUOltuSSrkUXQJa2oQYTFwqeEOCX7XswgLSyhcGPFkMxGu93sccDYE9rFgVGWfo5hINnElGIsk1rFUTq3i+9wHK52I7sLaCJQFHgMbJx2W0F7FL6s66RpykVmCs51NVaWT9UZU/jQJxPefdYh0PYUGtEIrw9BgLUWKmiLwmsrdNr70alyLowC1iBrdSFEQqwTp2KDGwtUqcynfZ4S6QFMO5wsPBs+6LiwVzoIm5Yq2GtUqwRpxNR6LwMVzY7Xy98fU99uEF6SSTRBjzLNRsR0bqUr3qfu86HCKAu+ZXtB0Usq2z7KOK9iaUTZjnUE3y21O7Gwl58btIklzjXK/lSR/c1hlbrjrdOZcgSJhwHQGYmlw4Q1FW7bevamdyutOKu985zv5mZ/5mdf12J/5mZ/hne985xt+M1/3dV/Hd33Xd31MAH/Pe97DZ37mZ/LN3/zNfOADHwDgfe97H8fj8WNe5/M+7/P4Q3/oD/Gd3/mdfNVXfRUAH/7wh/m2b/s2vuZrvob3v//9APyFv/AX+MIv/EK+/uu/ni//8i/HGPOGnvPNPBqKwQa21tH0jKYwBIdJK78eKzu98GTWXAwiXFOt6yZ6ZzI5+ULt4LAlkY2jLoXYb+zD3MQQsCWKt2hdUU3TUKzLzHGOxFmSgfMSSG6OglkDXFxIQnG2D/1q95YaevVaJREEKxe+1sAAZ1ZzV0d2XtNqRNcquy2sxmnB94MDnRSxKRH1dVGcJCehVSWtoDRSgugFOkle9ADHpVdqW7h0mqe50I4yo1hXsXLf7CxvHyZuosLlGV0LuWRR2yNwndO9q+ifeSmKeSloB8eW8bpxlzJmO7HTilIVjw4H7rKcj7Hb6BxKZfSKSMWssmNmKCJIuwhJVuVqEcm5LjRdm2JjIMZGqQqnCsPkiUrwpVlDW8UyxFuh5577F/vPvRf21Z3qyvwAm2mEGNkXLVRaq6ml0IzGmMaQ4GRllfI+aWqpsnHTSiBPwNs2gZMv5DXzOMK5FbZXaBI0re/aiNTdnlvfgNjNDacJ7m08MVZOTzJ3Rd73fpEZxtivnVYgNRl6GKWEBNIh1XyQz7/r7ysn6QCvYiF1KNBbYT1dKNg3ja0ZjGY7NibduD3JNbVm2IwZFRuRhYQko+NaaRVGXblrsKFglJVZlm2UDVz4gZ+/WTgmEUUG3e2IlOimRgfWCP/5tsnndM5ga2HfZ2LGCnToh4F2XLiOiEJedb8yQOGoquFUY24KYzQpVk59HqeSJFgFffWwXEeDlyRjQl9O1ud78wqnWNj4wpzrb6nof73H64a/3v3ud/OBD3yAX/qlX/rfPu6XfumX+MAHPsC73/3uN/xmvuALvuDjOoJP//RP5zM+4zM+Bk773u/9Xv7oH/2jH5O4vviLv5jf+Tt/J//8n//z5z/7/u//flJKfPVXf/Xznyml+Et/6S/xoQ99iJ/4iZ94w8/5Zh6D00yDwTvLxXbD4MQJ8lfvjuzvVn5t36CtKGXQWuOUonaIyrQXqu8L79HKUOeFm5O0wChQg+FysiTtOC2RD9/ueW0+YGhkO7ALFt1N/GKUKmjpdiebjuFuvFB4R6QCuxikJT8BgzfEJI8PnVr5rEsaVeGQpeJ6Ggt384nruxMfvb0hl5mUVkoRemxMffivJFCX2tgOlofTxOR7YFhf2HVYK1WiH2R4+XQpOOQm243dS0rDmWooFFslHOy1FZQzJCc3XgHON4pdkAR1tcJSIleL0LZTgeOS2c+VZTlwWBdOcebJHTy6lfmT1zA3y1Aba66cGbHPeHAmkMsudOgoC/7/bN/GXMHmxn5ucv4M7OfC9V1kWaRYmJR0C8G+cBd45ho8jRKg3aAYtHQqqgApsgmWrW20BrVVtpuBe8OIUR7tFQ+MQFilVDENzfK8wUoHvF9WWswcc/eZq/DSqJl28NJL4vNVTKeWdz3KMMD9C0nmrUJcIilm7KYnlCQ/D6bTX4Ocj6Un55LbcyseNOCkSz4keewwSLI5FJ7vftceLqwmYdjqSskVazUPR08YNkyDFClUOJVGtFCHgdokwZ2KvJ+nEdG4zOBNY5ocgx8wRXFzWoSm22nQucq84mIn11pVUhyqyXJ/dCQP971hmLa8MhoGbwVqSxBPC09n+XjLLF3GuYJUmyQjpbDGiF2N1ngn9/duI9qz3dALICXW+ynLPbFGof3PWRauVSXv9RDlXkRp1vJJMFP5a3/trzFNE1/4hV/Id3/3d5Nz/pjf55z57u/+br7oi76IaZr4+q//+k/IG2yt8dGPfpQHDx4A0n08evTofznf+bzP+zx+9md/9vl//+zP/iybzYbf9bt+18c97tnv3+hz/uZjXVfu7u4+5p/f6lGKMLz2pyPXxyPHOJNbFfO3fkHFBFfHE0ucWWuWta9OoIW5dy/OOc69Y/We7Sh0wm0wvGQMFcXDQTqWVCs5Zg4pcU7ikDK+Cd0xd9hr7Zh/68wbFySQu8nyyqVid9aHqwmulyL4u+qYb6fLmlbxzoggq0miOSZoRtGsQSsn2hZn8U6JNUyTIN+M7MzwNgj/3gB9yPrMJt502q1DIJjJaaLSbJzgyBfncBYMWQ9C2baeZCxrgcMxM+8FKngwgscK463PDlJsGETVPUc4Zgm810nO390iZpPedCPLFWqN4A3bMFCMk2RvpKodHXhEuOq7gBPdxXxauo3BGtaqyEosRbSWQH6MAkdR5XNNvtONT5JkBgv3woAxRsR9FsIwMinLMVasAqsaPhcO64LTEdUaURtZ9WuVQCZGmEIxS6V7vYdfvRHld7XyfTcs5QSHfbedMV230YkTwcr5a/B8HbByXbmPdNXP5kVkuV6sEjhJW/V8a6LzfTOkk2LmciNFhFUvviMXhL2nMzxeKikWrmfZZU/O3K6ZtByFNbV22x3kOtTrQqsSlEODR3v5TLfdaeE2wumU+Oj1QmpNlrxZKaicE71QeJbUmsDGd/tEOmYqiVccXKfKzgLacRYCzWlC0FRr8EqowMaID9mipcu8KRpaJabKKSVyERPIwUgyubDyN+edyqzaC6q2Nn3TKHBqmjMtDNLRiLDZqkrQ5bccp/6/jtedVF566SX+9b/+12itee9738vFxQXvete7+MIv/ELe9a53cXFxwXvf+15aa/yrf/WvePnllz8hb/CDH/wgH/7wh3nPe94DwEc+8hEAXnnllY977CuvvMLV1RXruj5/7Msvv/xx5mnP/vbXf/3X3/Bz/ubj7/7dv8v5+fnzf97xjnf8Vj4mALdzkUq4VPYrHNfCcT4xGrnQLgyU/r8lN/HrqsLUSfT2eYXTurCUwhAjc5QZQVwLNyWzsdBUYGpVBs6mUkvhaa7UJOIrU14MDxUvKK2H1Dn6KEbV8FpxP1i8lm6lLL9hL/a2K3gNtJx4MldyXuku3jwcNKMTy3xjLPdGK464VZTmOydBems1wWiCs1jncNY9H066Tvu0TgKN6zqTu0MlxkpzEpBME1aV1oWYIoclUtYoNN2esGsR0ZvRVTYLRnnO7ehk+VKfeTyrTl2TuaGqiWkU0elLZwofDK7BshZqS5iWmCusWmCPNVtxEDBynpsSVp1GgpNTQkn1NLF0KV3zk0R1P4zSkQ2iX2XjeiCbhVaKUgRjGPt7pRVOWjE5K35UWtOGgSFMrIwYZahdlJlzY+jJYKmCw69dC3KYZYawP/XNkq2QnSSuqiX4U+XxS08St1HO65IFrtrvJdDfn0QV7hCCRawdBnPglBYBZ59FDQBaCeVbC8Rla4dXq8xIHg7dk653NVlJslINbgukWni69kBrpQjx/ZwMwbMdtGwHrV1sauX9TA68qixKZh9zk3sh9jnQ2oWHhypzlqdHuRargdVJUr6psqfoJjeMbsRU2O8rN8dKS0UMLCdZD7B0tmJUFl8rh1xZcmJfKnOVa10bOceHIt/HqXfrrifdcRQ4Wvfiq+RKspaLQb4n68FoS34Tde9viKz8uZ/7ufzcz/0c73vf+/jsz/5sfuVXfoUf//Ef51d+5Vf4vb/39/JN3/RN/NzP/dzzTuD/9PiFX/gFvuZrvobP//zP58/9uT8HwDzPAIQQPu7xwzB8zGPmeX7dj3u9z/mbj2/8xm/k9vb2+T+/9mu/9vo/4G86rKrUJBGkKdhODucHtB3BGsI0cO5H4lK4jTNng2Ln9Qt/KC2D8lzF/2s1iu0ow9R9gZtT5cPXicenI80bXj47Q7stznpOa2RB2FTW9SF9QQalsTOkZngyg6KRSmNfGrEUEhLYZkSVbDol0zkxEXyc4MxlDlmL35QS80yrDOMwcC842UdhFPcHR64arWAKltE6UZuXjG8VazSXQ6emKlEynyLP97YnDWbsSS71WUZQaOfRWXG9RIzODMEyDP65wjpVeb79LBv4fJ8L3ZwSp1UCzHGVxDA5ONsMnI8DWjuxTmkwBsc9q7kt8n5iAVCMDtpRIBatMs5YtJJzsfMCl0yDYxMs1jhihZjzc72Ptn2/R5WkTR8Ue4tg/ro7CfTuqaHR1jJoaMoSciKjxLV2qRz3e/J6oM4zp1wIVJbO8isFjk0xWUlmNQt86DuTLsW+ECwVLH2m0NlzSr+gPMcmMFWjw5UJ6DTq0zMWX7/GbmcJ6KnA02PluIh7ttHiMee15qgVZ6N0lLerJNHHB3neq/lF4mKV733qdGCbZNDvdWdX0WdA44AfNqyp8fRUOWb5HHOU19jK/F8Kr/45xyaFgOnzy2AlAekCT45yHe2PcHcFj57K9sxWCsooglY4bTnFldg7a6UAIysCFGIDc64VNUYSiZ0TiE+nBk3s7JvqCXqRjmpZ5Lu/t5VzG7QkzXMjz3k2aALgJsflADTFIUYMb16n8obT1fn5Od/wDd/AN3zDN/xvH3d9fc3l5eVv+Y299tprvPvd7+b8/Jx/8S/+xfOB+jiOAP/LzmFZlo95zDiOr/txr/c5f/MRQvhfJqPfymGNxjiHcwZnKlvjCApeO51EQFUL05njYjewrAJb1ZIoSiCqEQnu+MzGa2KEVIrc2Ln7LekOQawFqxIbJX5QF0G2F55WualC6CKqXmGjBTffuO6T1aoE3SQ/W6vw9Z0SqKwZod/MFh4CHzkUTBLtgvcwuMKZUcwFIoVYKqUUFqUYnOJYLC5X9kYzqczSAqNWBGPZtxWjFYtqKCvdzSkJ/VM1oEiCmYY+f8iw8YpmNJNW3CXp0nQtmI6Jm/WFMO48yEyCDk083ctweqNh6w2Rwv1hpBbFdjTMaeWwQq5R4H8l5+X+CEp5tj6RdlWG5wU2uopY00BVBkMVXUGrBKWYU3fL9Ya7XET/YGRusqZOF6cnEpMJwHWENoDWjZ1xXM2ZU4Gdqrhh5G0qcFrnXsEqknK0IeFK4TrLeXu2hG1jRB8zBSBIIvMKOMp5HrwUMEMTV+ftKL9f+/NsBhlaqyxLuB6cgUEznypXq3yOnddc525tYyQp4zQbW1miJEinwEVYQ8MdG9cd7qpLt9Qxcg6OTYqMEJBtn6VyrArbxMZIpw4BO+kgBgXH40IyCyk3ga3k62a7kYRngxPSAoqz0eCNYS2ZFiOjekbZl6A/bYBTZ6hZ+moBSWqpU4s3RmFNwB9O5FVgzQejpmZYtOVMFZzyIlj1hkPU5LTKLnqnGZr45F2qwnWDSy/6sVLk3kxZZkq5ynsagmanhK0YdOWes9yVjHdaHDTeWD/xxuLYJ/LJ1nXlB37gB/jgBz/Iv/k3/+Z5QH6jx+3tLV/yJV/Czc0NP/qjP8rb3/725797BlE9g6x+4/GRj3yEe/fuPQ/yr7zyCv/hP/wHWmsfA4E9+9tnz/tGnvPNPJRxnI2emBqVhllPqHEjat9VKsndeqJhqRpG0/jI2u0dNNzfamqu5KxoyNKobKWyWnrlOCxws8Cru4Z3llSMiLwQIL36SoiiCRh7tZO1qKk1EsBfGiT4FCMDwWTEbLJiqWQMcEhNAkaGKys3wdOup6GBRbGUJHbnBYyqVKMx68KxVHYOsIGHxnJshjOnuJsjV8eZuwV2k+z6KJEXzBdrqaWirMLVIutgMzjV0FrhkCo+GAXVsOYiiukiwXI3CJTQjOPSFyyKJ7WI6WR6pgcojBaWuGIqLGvkdJK9LnsvkI7pWpXZFC43mozhUmlORfbioC06Z9YM1RSxfwdIlVnDmTeYvr3LjY1jrbg+h3J0UobpbgINHp+6CWaBHDOnmllzoXU40fTucFCwXwUWPHOKlApzgzMr8zNKV8t7gU9sH/CqItAcIzwMEjy9UZy04EDHzgB7RnYIDpz1EDQv58qM4cJVnGlUF8ndkubMg3WKQEMZg6tCU899RkWTczk4y2GMBODqAJszeOAQlljvzr2Fs8FCrRwKqCR7XHYBFm0wqXC1SAI0VlMwnFpD6YwLijPduDt214ImhqlFKWJtGFXw1mGUo5TGUhO1SLK4mLrYMksSdUqgs7nThVOFpTT2a2TnNTFLRTApWKN8r0Fl1lg5mYUQGx85yRK8tTasFuPWQ2vYVjhpePsW7rLifJQlZ2OQ12pRFp493IKrlWI0jsTaLK2bug7GYEzA2U8Cncr/29Fa44d/+If54Ac/yPd93/dxd3fHw4cPee973/tber5lWfjSL/1SfvEXf5F/9+/+Hb/7d//uj/n9q6++ysOHD/kv/+W/fNzf/tRP/RSf/dmf/fy/P/uzP5vv+I7v4Od//uc/5nl+8id/8vnv3+hzvpnHZKWCHqzg0Y8OcLseWTs3v0Z47Vg4nwxn1lOyRpnMPEv1uC5VoIUhsXMaZQNDW1lbY2sbKENShY1VnHLDxEhuDWuMKOij7P+oWvaAr03mMYcjwp4a4XwKOBuw88LTg9jWb9szzYPGZsXTUxPKMMJACU4q0c2gCFa2AE5DwCvLKTW0rrSa0cajneVy8CLOBI6lcmYkQSxxYZ+l0zFGY2yl9sHwusLssyxFqt24UoF1mqA1WTlcq1Q0XlcSsvLXtsqxNTRCn64OrEvsBsW9acNGJ2pdqE1etxRZ2nSqBd0cV6lwXKUDcbkTB7wwgYw2zEnT8orWWobLWpNLITbZd2K1Eu2JbXivsHbAW8ugNbfzQmxSSS8dv5/rC6V3TvLzNb/YSb5qwxIjpySJLcWVk2pUVTHOElTBtMqaCsYKfbWh8aHK6oSeiMfeVXkrOL1pEGZhn10MMFpPbStL76Bck+7M6a61aYlRw11tBGc4REhFPsuzNQJ3K0y+4YNl5wPXsTH4il4iS6li4Flhjhm9dkNIJcypYIWsUOmuxQp0z0KjicTabX6MYacU11UsfmoFlGKkcZsLg9O85AeWBlrN3MVGVZCyJLrBQkYT18QpF4zKoASqW2fpyjYWjlr0U+cjDN7xwBhO88KjWykGR5/Y6A0uOM5sJtfGME7ENWK15cSCqY1FSRJdUbSSxPHBK1rT5NYIufLkBKUI2eN8J13aoOFJFP3WWuDCKHEBaJqpZT50K4jFEBL/z8uFYNqbFsd+yz3Qz/zMz/B1X/d1vPrqq/zhP/yH+af/9J/y7ne/mx/7sR/jtdde45/8k3/yhp+zlMJ73vMefuInfoLv+Z7v4fM///P/l4/7si/7Mn7oh37oY+YXP/zDP8wv/uIv8uVf/uXPf/bH/tgfwznHP/pH/+j5z1prfPu3fzuvvvoqX/AFX/CGn/PNPI5JMS8rV6fKaQY6vdM5wdYt0rG0GglWMxrL5WAF+grCzNkFuoOvwpZCyhVfG8HAzjRylspHNaHqjs5xOQTOwkBwCtcrzqXI0HuZu/eX79V0g7wu3BWxjtcKWlBcTIFJedYsGwVDF1w1BRfBMISBTz07Y7fxvG001GbQLfPksOfD+yPXS8SiMNpgaiaVgvWGwXuOOObSWKvCNqkEL7zGdBhCG2EWeWdZEuwPjbuTDHJtrpSSCSSMt1wMniVrTimjSmZnLQ+6cG5yffh5gquloVRlGgZengznG3j1zBP6/CItK6pmTG1YJ7MR23F7VQTX97pgTCMmeBQrTkGsBqUVXmtUk/kUBiatmNdGTispzRxS5G5deXRoHFeZ56QmcNzaO5BSRNE+dEHqNsDGaAar2PgO6zlHxJCqopVGLoU5N2YaGUVRDm2suAMgiWnjZBaiOjTlVaeYRxmsLw2CNVxsghhBdnjpzIr/2tlgGaxlbTJj+LWrwofvCrGJK4GnswAtzMrQSmM/Z0xesGnBqsouKLbWUBQUKtMkcKZ30lWeknTc3slrpwSvHQpLigJDaYhKYZ1HuZFz65hnIRy0UtDa8XAzcW+cCGEQlXlurKtASHetECtcLZWWM9fryglZEXE4CcuPLF3V1SIFjDOgjLyZ/bKSWhdpAkEpXKsMqqGzbCLVeUaXTGyZi6A5HyZ248jWGpY5cSpgsqy7sBTWtQrtOsL1Ea724h4QO1oxIdT+4EQ4nZRlaI27JnO9Im+Z2rrQ90063lCn8j/+x//ggx/8IB/84Af5pV/6JV599VX+9J/+03ze530e73nPe/iyL/uy/9dE8HqOv/pX/yo/8AM/wJd+6ZdydXX1XOz47Pgzf+bPAPA3/sbf4Hu+53v4oi/6Iv7KX/krHA4HvuVbvoXP/MzP5M//+T///PGf8imfwtd+7dfyLd/yLaSU+NzP/Vz+5b/8l/zoj/4oH/zgB5/Pad7Ic76Zx3w68is3B9kDbyVYKCsQk+uzDY9AU2tcUDiGMXB/zVLRaEALq2pyRvytjKKpRmmWa6UYXJUlXBpKq+ScmZUwYUaluNVNLFZSx4hN322hesveFI5C7Teg1qDmxtOycu4T1mhCq9w0gWRY4VA1ZzpxXQKDqiTEfqIpwxgqp2Ul9de48I6bjHRTa8EoJUyBHKmtEvqwN1aFUpK8spYqdFJCV41ZGErHGc4u4IGBqgPn1lKbEdfhprrjs7CxrEksTeC+OcN6hP9pjpxbw00qjF4q+skKpIFVXI6D7K7XizDjnJj91a6LsTZgW+UJYse+KsXbBsdaLao1nClgxJbkLlWqgtgaqmnyaRFmj3qhrTjOMjPbDsiiLwN17dTZToMerMMow1AyuVum2Jpkz05JjN4QS2MwlgZsvcVqw2GFTY7cxr6XZ5X5m6Pb6jRJKuPQSQi5orRCGwmsBgiDeH+lnviv10ZqYktSMqxermPdu1hjNcEZgaa1xTRxN0Blam7MFJl3VJ6vFZiLXJsJGYznjVTpWQkEilYMKKxSeApNKYyuZG2ICP37JsL51jM5Dw2WlIhZugLdr/2tbVif2ZnGnKrAg63J/dCLkFTEjqZUSUTTCDpXHidAte6HJhqqcZjYbiaysty1Wym60BgPOkeqtZx5cMoxo3i4bXzoNvJ4Fk3KyRmGALkzxmw/j1pD6ASGRUlnpwCVM9U0mqrstONgZAY2ajilhGqfBIP6z//8z+enfuqnePDgAX/iT/wJvuM7voPf//t/PwC//Mu//Al5M//1v/5XAH7wB3+QH/zBH/y43z9LKu94xzv4j//xP/J1X/d1/PW//tfx3vPud7+bb/u2b/u42cc3f/M3c3l5yT/+x/+Y7/zO7+TTP/3T+cAHPvBx8Nwbec4367idCzqJLcdLWwletgk+6ztrBg9ThdfmxBmRQ1FiFjkYNJpcGsFaWk5cr5USG9XIkqptqdxWuBwUg3XUojg0aDkyp8a+iBXKqfsepSyvXz28PBgyMui+OmbZiRGkmj0kus165Z6BvdZcThXw7IlsjOK2KLzKzEXhTCNlKfM8lbdvHcFoFIp9rugUuWuOB4Ml2AlfAqe4oF1hvy4sqbCWhLECyZ3oA3oXOKuVJ4cqtupIt3KzgnULRz+xdQaP4TbLrCRVmZOsRQLA4AUiWavAftEW5igMs6pWBq0AhVGa2BTearIOnCOJUWWBv0zX1xjjeCXd8losnGuBVrYaFqxs+iyV2GSmlCssuXHmG3YaecmsPFkksCYlUIvtAW0wiuu1ifakdy53M1h1wDmHbhU3bkSvlBvKVEJOND3w0CRwI5Nt5KqFJFEr2SiMbuKAO/SOFUnWqXXsvmtPSk2QKocon/m6QDCZ45jZKVjMyEZVbnrXMAUYvaLGRlRwbzAMRnRDp9OBY4001VBKE1Gk0mRL7tqtTDxMoyXljLXPhtECAebeIW6dotTGPDfussB2nxoytQVqW9g40ctcTppLb4kVUJXBG9ABr2ZuUsN5mILBmkDTipqOz90dzizsV6n2tx4wnaXWf/Z4le7iVGRGtxlhOwSCtsQ1YWpmqxulVVJNBG1ZnePBEDjGRtONjS4cirye0fLd+lqgz3usFf3WyUiyjot8fqulS9l5RdUGrzX7ueBtlkH+s9+HAe/ePErx637mn/zJn+TTPu3T+Af/4B/w7ne/G2s/8W/qR37kR173Yz/jMz6Df/tv/+3/5+O01nzjN34j3/iN3/gJe84363BGMWy3vFwXcfXukEOZ5cY538pFNVe4oLFaz3nQ3BwW1tywJmOtJ1hLqg3VVk4ZHngISoNVXDiYrMVoS3OwoRFrI6fEmqQ93nRaslmAIDoApT2BQsyZZZX3pZVcpN06jI0T+/D7TpGa5XywqJpBaXSOnDLkmmkZ5lo5M4piHEE1Yq5UVtYUKUqztYZWNalkrGoiVLMWXcRmJDfpUm56NX1M8LBmMpr7Y2VvRAsSjEB3SklluCyRQ4MQLKbIOuCdbcRRYLTBGaZQuF6FKlo7o8lYOHOOm32k6Ybtg/+bw0mSluoCuq1YdohotHJuGv9TaZQpzMBZMxRneTAE9seZqAotHqlFqu37o8Uqy2QMhzFwWU78z1uhxI4G7k9Gkmpr7G9g39lQLQiRYI1NvL0aPFQrt60w0GjV4K1htI1oBh4ER8ITTwduUqLELFYpWV7LNsBKgEhZzoU28n1bDXOq5NrYaLhCvoPbGelMB3j7LjNXDa7iSjcdtZasG5fed3t3xYJiVZqi5LvZhMbYBBK0SpT+eKEy11Y5db85714sZ1NOzClvotj93JW+jjjBR6Li1a3Cl8DlNnPPVF7eblHWc+Y8p9PMYY1UEpNuz1dUx6ahNmpM5CLXUGpCUDkl6UjLKqJM7QR6RMl5W5PodqwBi+aUKmdDoWmHto6tHznUjIszT5fMboC4Npp2qFo4KYczmq1TuCaFiHIGnRsFRVoLsWtTtJH3tS7iHzbtZC3xxjqOWQb9C439IjOfjdLc32wI3r1pcex1z1Te//7388orr/DH//gf521vext/8S/+xefMqreOT8xx/2zk4eRFMDbLIHBdxfoiuB7YdpqXJ8807fgdg2c5rbKJrlbW1EgpUkvk3Bmm4DnfyA3568fEbYqoXHi6ZIwqmCbiyXNvGKzhfLIiFGwitrRO5gNPZkCLxcmxIsFmkEAdO6uoIgH83ALGcDZ6cUDWYmNugseHQFWKU1PsrGVOlcM685HjzDEl9qn0ql1hrcc5SymN2zWjrWIzDDgbZEit+oC2axZGAzEXjBI66/kO7u0U0+A5DxMKzdZoCg3fCsscOeTIoDPHIm7OS4adLuyGgU+7P3G5kc+1Ztl1YhD4bTc4tA4c18zjY593AE1pNkrmBfcnQ9OeuSqaUgQNO2sIVrGzGtbIWjK+nJhTodKoGe5iZm0ZjMEXxdOlQ3xNFPTO+eerdE+1i++SdBG7TbdWsTKv2ZcKrbEWhbGGTQhkZTH9nJ7ZhrWG0SjpTrQMedcmQkutDNqKY3HTEkhvjn1ZF42d7Zshq2wFXTojf2tlKF8oGCS4eiX2I4OqtNqwFGqfMahcqBRhFzZFNoqHY8AZx+SF1XSbwZsq4sqe7L0TzzRit315JtotEErXa6iVqzmiWkYbjTOWgqbWhqqdoTgNjDZwwDN1Ue1FcAxaaN7eSLE1KHldQ6cL9y7pcidJpVT5rII/yflatSKowuO7hZtlZln2XMVITgvX6ZnFviYry85aUIaxFZQRxqMeFFOAmhRXa8XVwhIF9pxzn+9FoVgf1r4ae5Uu+cFmYOtst72R++LeYHHeEaz6zeHnE3a87qTy1V/91fyn//Sf+OVf/mW+9mu/lh/90R/lD/7BP8irr77K3/7bfxul1Mcp19863thhe/CIVf5ZOqzRWve4UmBKJZeCV4XiHUPH9R/N3cojNfa5YrRmdJ6Hw0D1cBaU+AJpzWUw3CXB+ItWLM1Sq8L3mzhYYfmcjnB1lI7JVsXVSZRlAfF+2ozi4xSNwFD7AtM0oTLMWVHqijcGg5IbOC5opBJNtWJaJljLxoCzlq3V7HzgLATOnSWnzCEuxLwScyGlREI0HIMxnIrAQilJYpHFUZ55gcfX8JF9Y1SZWMEbAaBH72R/hzNsgyfqQSpmJ+foNjuUVgTrOB9HQhAoK2u4XbKINEvGtsz1MjOf4OmNBBDXKtaJ99ZcFSpHHh0OUBNbb3n7xTlnYUA1zeNSsFQ+ujSU6kaMpQ9eU+ZunklaXIyx4qE1WsvdvHI9A1WuCWPhpXOBWrYORmvwWhGcfObNMDJZy5Irh2XmeDxyiAveVrQx7MLA4Dz3hkDr2NbNSUSAsRbWXDgcZZ4znyRxHGY55zELWcA6CVhD16fc3w5s/cB5mNh4SchLg5ozT06VR/PMXFIf1lgutiP3h5HSYC6VFBt3SdZqOyuf3yb40A24Im7TxsncJpUX6wNc7+bu7eDyQrEbYMVxPnjCMGKV4hALp7SiW+EQIzlFWFcShbeNRlYaW8UueIZhy9Z5VgTiO9ZOy+82LeeXwvJzyHW428AwabwWWHUIcG4dS9WUlkilMjdFiyuPlyZEkiaF2WUwJO2ZnCMj0NVqLA+8kwvbwqURKHyrpYjZdPgvJkkmeX1hjZQApzVNGS63G952Afemie24YQyGqt48+OsNs78+7dM+jb/1t/4W//2//3d++qd/mq/4iq/gR37kR2it8dVf/dV81Vd9FT/0Qz/0W9ao/HY+rk+Fw7xydQu3R7lxVZMLNFYZiB4xmOBpynJzjCzrKv5aVW7ylKHUwrEWgjEk5fiUwbMJE//XpbBgSgWvGxutMLWxpoU1L8wpgoHgHYM1lD6XyA3M4Ng6RTMD06i4vz1j55RUZ61vBtTCKBtGx8YaYpbVx9vgCF7I9INzrErsQqoyeOPZhsCDaeTB2TnvuHePh2eXDMMGax2lqe7k36jGcO49o/Fsx8CFlXNSq+gsTqfMaV3IVexEHj+Fjx4rqUSOpxO/cn3D8XRgyQlbCjllQo0E3Tgr3ayRxO2auY0ruxB4OHiC6U65QBgkYFblccYwjtIVWSv7Xm7mBkaYS9oGgpEBxeA8sWgOa+RIZacah2a5CAan7fNqPkYpDGgZrTS7SXExKgKwXzNrku2ZSkmFfDbJ8iWjAa1wIWC1w2rDZDSTUbQqa6mXWnDesaJBWWJVTH05mreBEdH+2A7jmC7i016G0K0n8NPaVw1bWfGcO61I9eLHaY1TsKbIirASxWiz+5hFeLTPRApWN4wdGZzn/tYzWY01oFWjNElmh6Mo6y9H2RAZrMx1bg9CS6ZId32xCYxDoCnYRzHQDN5xEQKDsmitOR8cpsJtbsSyciyQtOHMOqwdBM5dG7+2P2HqIjvWOllCVbjb905AZDjcD1IQtNJNP/sWOqeBDtk+HAOTHzFGs9GKpAzng5KV04PjgRftyNAyqQnrMBW5qeZS2A2KyXoOWTqOJ0t3EN93RqaGszO4f0/mSNZDjitPl4Q3MGiDD9KRUuBwjAg95c05/o/S1ed8zufwOZ/zOXzrt34r//7f/3s+8IEP8N3f/d18x3d8B9M0vbWn/g0erSSO80KpMuAzFXBwvJFOZE3w/zws2FLJSlTzSo3M5Yg2sAmegEZbT05RlhPFFT1IJaqsxSwLj5bEUFb2DRlcK89dbWgSg5blTcYazsbCGmRQ25KsHd7oIjvma2YaJu7iUdT2dA8rbRhy4sPrSjCZKewI2nK3nJhLZPKG8xCouRFrwemM0YbUxE5CIUPoQuOQEqUknNdM3qNK5WZZGVxjcI7GxG44sSpRwY8bL1v7+tbM7bZX0W7koDP3Bs/Nkqk1shRoWqjVsWqirdwLgcNh4XZJXB8T9iJirBM8vYrtum2Zwylz1LIrxnXYSCuZRxwWwDSGreZ8GFC1QVxpSMfj3YQHigm8wy5cHxNP68pUYO6OBUpJ12JLYXSWHBO3VQbAqUlwq/QCVsPtXsgU7tRY24l9lutnoxynqlm1Zeu12JgoxUgm58IwVoxVbEdPqgXlB4Zxphogd5uWJq9LFT3GqcnQfefBxMZhlWTTlFizTMh7NCiOVZJUjHC5hZc2A8c50ZQIPgdtyFXzYHCsFXQdYF2FjIDmGLNYt3cYNlWBtk7dg+5YJeC37hVXG6ScZAlWFq+vV0yjGMvONoEi+7zSUympoLTGqoINWwaTOF83XMUjXgvkVgBrHXnf2YGmi0mbGFmuSpGbdM/OKoz3WLOyKNE17cKI04qpVpZasd7xIBWOyrBwQtM45cauNeZSiEW0VqjGMA7EKjPPqSnZz6OkU3MTbKIUOinLtbkY6VjPvaUpLUawVVGUYhcCUVmUc2ijWYrm7E2KY5+QHkhrzRd/8RfzxV/8xXz7t3873//93893fdd3fSKe+rfVYa0leE8wR+bY98IXgcG2k+Dmyjg2mw07Z0m5cYhHHKCN5oxKVIbBw6Qnnq6NnRZq8VobPleOpZLWmUcJHk4nCjvujYaXpg2nlKg1c6fAtkZEaM1GCU129J61GQYatcGZ09x5Q0YsWG6b5p4qPCkaVBGn3QrBaYyzbFA4o3k4eW5zI8XGMTWqKbS2oN0WFSNH5Zk8jENgrAqlKpTGSTVSTdzOCZcOnFmESquE/XKmFUk3NgMMJxnkvm1UnI+B7dKoKO4NcNSOiGgmDjGBMbLwKIvmRCVJ4K8dK1uzkqrsp/BhpDXLHI94q7mNWVYFIDfzM61CrJBRbIdAQ6zsrRIa784JlTl4y7xqTgfxWT9S2PYZxc5rtNKsrVHWxKODVPhViVbjVCSJ6SJBhia4+h6ZI5m1dSPIjNMzKhfcMHDhPLdrwzrL5CxrUZTDDDS8boxaobLMT2wXXBoLdpSgfYxipT5aCNqxbwJhXR1kzvDMyajkzCku1FIxBh6eKZz3DH4kZc3OVSZdMcaxs6rP0RpYz7kxUBupNUbAtsSSZZ40GiEm7IJ0CwpxdXibk5kKaSV4JW4Dvbs4VsN5axxL4ywY9tExaI2xVuBQNFU1JqOoCTZWU/BcjANGOW4bqJwwAcYqmpzrQ2df3UE4b8+XgmndMH3B3ta+cG6erOHUnR9UETg2jAblRZx4zJHYCto6Ns6jqkDcN8cjySgeBIsLnp078tFZ9tNsByHwnE7dndgJLCaOBp4WC8fasHVlp0eM9mysZ9AWWsOq+ubFsU/0Ew7DwHve857nrsJvHW/gqLmrXqUCnRxg4UGER1Ha/3VJ3Kg9ZhpoGY4xcowQdOVaiyZhXxqfeqZ5OThu1kJriVYiTXsMjWYMW1UoTYtuJCdUayhtWGOkxMJVKWxC357X4LSukCJrk2HkVkvldxk8x3mmWNjWyqNjoqVMRG7+0VlG51CpgPFcBqjVokicYiLWhlaaoix1XfnQMmON4egcY4OCwtWVvfKUOHO1F1HYzhYKnlQKKUvAi60JOy7DsBE1+CFZQqtMY6DaEV8SuSUeKKBWorFY1bjJRYR+TaFyI80SvGuQQKIdxLRgqyOvlaAqXkn3UTuN2Bepjo2CVgsNRbAW1RRLq2xUoygHCmLqA3wqN7nKquHBMdSMtyMlzhSj2UdYT2KFc28QltP1IkG8VHi25dMYeLgR7H+wcG/QTMMGZ4TlR58nKKMZrcBfa6vEkqlNkWKmKs20FTLAzV0UHUQFmzu1WEOzPXEiJJL9Ks7JkxbY5XyC0Tr2qTE4iKlitEHXwjElMDBgCcFzfxyJTVNKZs0yPHQ0Eg3dhLRhjajoaxHB3rII5d0bSbCtyTV6bmBGYbVCe8NlU6Qi3nhrzahUuCmg6kJzA86I0HafxG07N0UIDtLAO3YTk584Hx2Pb275nzlzYTM3WQL62UagvOZkN844isNzzpowWv7vy8BVVYS2cntaKNMgxqWnwuO4kusKc2eyDYlLbxiM52IcUbpxtT/JsjLvuOcCNgQuveUwTez0CVN+w3K+LNDrkzvY7WCn5LvGewY0uSg2PkCtTOPILnjOduObwt59drx5z/zW8YaPq7uFOSVylcCw9uH77VF0A2sBnGZtmrtY0d0m/BkDa1kq+7Wy22Tm4tntRkZtKDkxp0JWmtFoBu0YB4uphaS0KNuLwebMk2NkHDyvDIaPHCLHzpWnKW66S+9aIISKyZGoLNZ1FlKDB05zrIrBWs6nwNYPjC7gtxq9RO5iIi+3ND/irEbjWNICraBNIcfEk5J4aZvBTeiqeLw2Jk7sMVxsFPXQWCPEFkV4lmVQekgJpz2lLyhSGu5tGsco2wzPdebUmoj7MBRVGZRmXxrb0Ylb87LK3nIkiFXd4YYGsTZqSbRuYWKLiPFGK4lHeVlQtRpFaWKQqY3BaU2slTlGStEYo9h5x6AV4+DY1Mi6yGCgaUXwhn2yjMrwaJbP5qwE7WOWLqoJWxevYbMTooQ1mrPdxJkPzKl2rVESa5gK87rQtMEby9YONGVwXpZzPV7lPesKSikuRmT2QsVrJZTXbpY4F5hWgZlE9yDV8naAyQWMc9zLhddSY9KVUywMQbNRDdUUSUklH5zFN8jaMreKUQJ5FRoxZSqK1hPK7SKzK+dlaJ8EVeR8Kw7Kc4XzqRG856Vhw5Ibp7yKmLGCM5b5dGSh8ZIrOO2I68rhdMR48YNrzaByJjvL/Z1nMzpe2ztaWvnoUejDa+O5YanLkFojH2UHUXCVTZg59yPborhdEzlHfHaULJ2Dris3B4gkscCpDXRgFyzbKRBzxbqVvKzUU+Jqgt85KXLxBKPYOk1UFV/gSRZCRYoytGcrhZSqDV0rOlheGTwJQ4wnspK/n7zG6DePVPVWUvkkOo5r4snhwPUB7p2Lmn7jZDi4xL5PAqmSjYaRym3K7DxMBoK1HLowUbfMYc6scaGoxqAbrVliazw435JLYk6VlDKJRqiRm9bX05ZK1YpqhbKZVzBGaLFrk1lPyRljFB5JJlo920HhiEuiWcvGyr7x3CrKyMC/NYGcHBrd6b0npTCqsubKUugGj5mtSUQz8LYpcDVnzkyjZM3oC81plrUKNGUEs985j9XwGgIHTIBrCm8KO6VEwa8Ls3W0GDlmmFtCobk+JsxYiIsEiHkVv6tWhdllBnEpfu3QOHUdwqaz5LQWA8CLceBYZ/wwYLUI8XSTIUjQGq0Vg9dUDFhD05qcFRXDMFomNwGK0TjspDjmgnegO1V36JTfpnoxars2ZeX5PplWFTdrQlNYmsUphaqKRmNNkZMyeNco2rLxXoR7tUIrXC8JNXi09+S8cohV3ItV49ihlmbhwUZozFXJ9772eVPBMI4T90LgGs8r9sh+BRUzsXSFubUorchNA4YxGJQ2jMnx6ObAMRcG03DOQy2kKKQA35X7qpNC1izanM0ojr87C1UNWGUE2iqRpTTSvKC1xRvFmlaWWrhTmfubM6pqpAYpZtLQUC2SWmPJmVJlVYRSikNu3By6p5uT4mFjpFuYu+2+Qjrb21iwRrFxFm82NISFt5aCqZXb1AiDDPZPB1gneOWy4fzIITVSLOTU8CEwnRdMM/z6sfHyLmOtxSbPkhea6jt5kC5yoC/Ga8JORFnuBY81kKvmal0ZtGMuokZ9M5m6byWVT6Jjckqsuntbu3VyoQwdKxU3VksYtx1+0mw3heCC7GdoEKZbts4T/MjkNKdkcBRirUxeEZfCmjIxL9gqwrO3TZ7anDiblojKlbkT8VcjK2RrU2KxYRS1NpzRhL4JaGNll8rOGpwbmNzK0hTHUrnwiqvjSq2ZVguT90SjualwaRRz1mys5bRENlMTTj2d6t8UEzAGj26V6wSwYo3sC/nIa5GP3MiQ/nwHL2133JxmrF7ZOGFHbaatDPWVQHE1NYJqaAUPguV2rQSjedpgVIr9UToB0wQTvz1JJXhzJx1LOonZ572NQG61yWd3NJJPDFaS+2g11mpRn2dYWmGwhlYqSmtKyhQNxhte9hOqVBKwC4YxjOga+IVHVwKHTtINCObV3QOqQHI2iPDtmGAylU0Qi/bjaSYqzf2NYzedYZrm6eFEyZFTNpgme2O0MpxPQfa7lDuWpNG1kGxgqwrXswyOrRZIsXRtRijiP3Uq4vy7BOTv1pVoLYNKzMaLENUGasuUfg2pBrFUxIvbUkvmeEqsJXLmNMp57nvDR+fCOBwlaDdJmsfO+MpAO8EjBZ8SuuW8qXg/MOfC7ZJYckYZxTiM1JRRysr8r4tJRGPZzU+1YsmapqRzu5kjl6NjMJqNM+ymzFpEMyYWNLJaOzZZYf3o2N0YRnDlxLEFHmwCQYv32t18y52yPJgs6wK1JWqAi40mF4PVipRm0UR5xYWb+LVHM3ctMtlKKaOIcJ0hVNHjKCP7i8pJtFJ+lcRbFKQ1cr0kTFDsxg2PtcdRqTRUK2j9hom/r/t4K6l8Eh1+GLlwio+mJirwSRb3mAppLy3/XDLb1thXxZmBtRnmFLkfNHPRPBiswOwlk1Si5FUU02kl0kjrTMJw3yiyHblURWzvqUzWcFgyp3lhrZ0K2uQG0usMGs695/a0ckoZVKJoT2qC7y8oPmUK5DKyFkMrK7fHyFoiNUVS02zVymnNrGRuHOyMYm5a9AYxccrSBWilWLVhaw2xatYEN6cTuTZG3ZiUETW1kgTsrSY3sQsPAfQg3lxBi7vAqASz1xZGHdgsJ65SwbbIMcmQYHEFpwVKOFUJ2K3PVsZVbtZ97kwvI4H+0UFw/6cz2A28Moz4MBI6iUDR0EaRc6XiSE1hlRYr8qrZ0Khh4MGo2S+a/TrDsjKnLEvb6Gr1vTDZtJIkQ+/8qKJJ2DnYTROXU+Cjd5VTrWyCeJ25BmjFK5Pn12fEqBHYGo3SijVGlpTF7aAqoob7VnPVFDsnc76ldl8pI8yvw9w3Q64i/Dtl2eh4yAW3RvZLpLXGoir3nOGIZ/TCNFxrw5tGbY1gNWsx+AHcsjAreMkpmg48GBIf7XYxqQfM4yoVeuxaDNOZckbB6Dxb54hrptaC0xUdK7enExtT2FrNXdEM3Sl6cJ57WyUW+m7g3BbmWFFEak0o5RnHgVcvLjiennBXRdx73ImKv/ROdq0CjYURLifDbTY0U/Exs/UeZ7UM840CbdhuPK0E7uoBowPbYBmcZr8aallZc2KeV041ssaMVo5aIt5ZNjVxs0hB04qcC2GL9TXIO3j1XCDLNSeWmnFm4tWzkWI89zcTsWohRrxJx5uXrt463vBhWuJmbiwz3B0kUI/W4KwE2mkAKhStObfQtGcaHK01blLDW8M0bgjDyDE3rpfMMSaOOcvO96bIyqJS4ioWTIssTUm9qGS/yF3JnFqfJZQuhJvhehY4qSrDNkArlUdLZV4Xbk59rpEzKUaGptg5w+gd4vahWRsoVblJlbkIO8prGIxnTYmlwFyLrAQ2mtF7Lo1iHzMpz5xyYl4bh45fGy0b+WoVaGQwmmCF1aQ6e621xnawnHlLaaKmd0rTWmPVBmMVix5oyuI3cH8KWC8QXSqy+bFlCeotiy3+/a1QRVES1FXsTtINxlo4xEROR0prtFr6JsZGQG7i0WlGa2jOoWncYtg6w3Gp7E8nruOJWLNoUtCikh9FZHg3i32O71TiMyuw1zsv4OXtlrdtJmqFs+3EhdEszaJaJCKfGRvY9MVoS1xIuaBV47QmjqeZx4cTqUR0q1St2XR/qLX7UC0J7o7w6BYONxLYnOoLxLTssn9yWFnyjEWWT03OcMiKeY2c1hWtq+h+0OQsFvBBR6BysfW8PA2sKmC0+JJNRlNbX+3rui1Kd27YenlPMQkEZBrkZtgMBm8dGI8JDusGKJpTU9wbDN4PTENgt5nYeMvoAyOZpRRqi5xSYk2ZwyrCkNJnNqpJsbF1cm8827qo6J5oFXELUA1LI5WMUQ2rFDVn9sssGikKx9NKzNCatLs3S2bjNEtVJKX56Bp5eso8XeB8GghertPbVITCbeQeLVo2g1rb50xZ3sM0BGhwaI1CI1VNToXTmgi6sOY3L6m81al8Eh1LG5gGCWilK6ZHH9i6E3dGgt1udOysxTmHV7Kki1ZpyjI4SzxFWitEXZkMNG146C1GSdA9FssKjGEQ7YlSlFrYDiOnU+bukLmNcH8nCuF0kIHgtsrA+IG3PFkVsTVCk5v5YoDVGi4nT1aOMDoGbaBaGhrrPKZkrptipyJHq9DOcD5YNAYFpEVujksPbhzYWk3SjjNVuVsyaxY2kncSYK8PC8rLa9tJYKjd6FijOM+ugDYG60ZyihRVOinGcYpCHbVVxJmKSsCwZvElO5xEqVyDuPLqJmrxe14EjpOVLiV1T6tYhe49bUYCikNUNFZU3xdfCijj2XrHYMVtclCVu6zY6sZ+zRhVSUoYZLdLwtZFtCG97LszYhzZmkA9U7enJ8EBuFdWDslCq+ymLe3sjHMTWNOJmjOP40opiavjCkFzbxMIwdPQxLKw1MZuDKzFsRsGUkpUrWhIN3K7l26E2pl2s1TotomC3ZtesXsIduB8M3JZG1pVjkviVDVZGdYku2wmrzDGUpoiNcflmWBH8xpph5lSFd5rmrYsMeI9bJpcIw8vxe/s8VE0OymJELGqhjOK0yKDtnMqx7kJ89E0zoNjn8EqzeSNrApXlVIMa03EfOLxkqGunNfGBZWlNJbWZNbWZJtnNTLTuTsJBHnuxRVbFssZXnYDd9WwdRXdGlUrhmAoSQvrzG3YBLiaE+VQyPmOdzbF/c2We4Pi6lhhnWlFur8zL/Yx18eV/XEVLZTuiSzKsH7r4G2Xwgh7vBZeigdmNzG5glOK21KYxoFUGrer4n4pb1oceyupfBIdL20qtor1wzSKclipbkEeJIBRoGjDhW3cRYWuBW8cl96itGYKlqQCI5X9mgi6EbTifJrITfjB87IyolhU5WKweGcZneZJEWvvbQCqDOhtN+57tlo3As5ZQq4kV3j74Dnmxn1vsWgokf18oviRe7bR9Ai1MGwmPhXNoYx8qnYcmuZiMBxOK6U0MrJgSO7pSC6NrclEZTnFRfa79Ips7vs0ShUYZlDwoavMw90i5WSHZY7rAnlhLQ1PJS6RqBWTUyyzRXvFy27oeoxIOR0opmC1KLhbF9qNI1xsJIEW5DXNAFM3LvRWKkZbFcpYNk6WcNVSOcyRQ8mcW41SGxGgGsW6ZFIuqFZZ0oqphWWJJNU495abbNFWkdb03PutiqTm+WrnssjCsK2FQ9bkObEz4j/2YBs4Jo+qK0oLDDfHzCHBvVERjGMTNDHD/d2IN4rj4liWgzCDyso+iR5pGkTUGTTc3kq39jjSu1BJ7KaCGmDwlntDwDnPoA2uJXJs6HpAFcOxVUY/4o1lNzgaDVMrrVZG2zismmGwxFiFDVfEHHM+IntnRoHA5ijdgm79K68wLzObaUOwiod+y1pXVGkkZXCq4n0gqYYzlphhaxTBKE5VdUhPMWpQ2jBohTUOrTOmKVnzEOQ72K+yJ6Z12G1JUhQdNAy6EpsFJeaPxVi21oFyTDWSmuLSFz56ncgnuE2QLxoPzgv3tGMaNiypcX52iTJ3OB/IFXLtTDgtnZrxYJIwFDVyX0xB4sSg5ft5sHF4rZnGkZaP3CyJSWdG296aqfx2OZrb8I6X7/N4eSo0XYVAE0fBjR8MkI1l6wyHVFGtSaLQirU13BLZ58I0VJQSyAljSNqQlaOUTEIzOPnZxhlwA6+eBe5WqeRzn5JnJKAqLwPr4PsejSKlYWxyI1o/sNOFog3eaUY/8JHbI4pELZV7m4kYKzUtHLzjpcGybyMbrXC6sqyZpGTb5VIlcB1jZl3g5ApT8KTUuDkCrXcOCE009cr51JcvHXPGdV2N2EoZsBadMtepshkUJVduVlhVJcfIa6usG17WlaVkVBW67rOlRg8u5ZzMFdoi7LecRZtyUkIh3pcuEg2OV3cb9kvjmFaC0Zycw6bI1dK4P4mR57zCWjLOWA65YsgU59g0xZM58ugwo2qloXh67NfBInYpzxTlZ1o2IGol5+KlDWzHIOwnbWjFYbxjbIHYNGdhwBgL5QblBs6DxfrAODSW1Gg5UZpGq4rx0jGUUqCtMpxf5boIVmjlGplpnJDu7SUPg9+yHS1DGJmLosXEvlaaBnRAW8OoNUMYmJzBuoC3ot5MRXFaZW3D3ZKoqlKrrH9WqnJapSM5Fune7pL4iZ076SJXoKXKcc1sR2GVPd7D0ipewxQ2BD9Q7gpLKaxx4bQMtFppzWC14dXLHUZbao2cTTteurfhOEe2U2S7hWOTIK6qQLAgEOk0QRsBL783LnKKiTJ6Ho4NYxxng+Fotoxq4So5gjf4Day3QgyJOUFZyEmTa8QZg2qdnVYSN2vhsCzYKvfips/zTgVugDqDD/Bwgt0wcmkL0zRxaQrTMLBfRiatyQid2Nu3kspvi2Owsl7W677pMcHTlmQgiMBPl96KyWROrKURa6bVylUxoog2Xpx8G3gytzExukypI5ejxTvNYTUoZIe5bRWlDWdD5djNAa2W93GqTQJgBLtK++/0gUOCYMWio9YDOVWSVbw8eFY3YvLCVU4oU3iwOafUzNOcGWrh1uzwptKa5rhGitGEBusIr4yemCofmTOtCctKqYjtFvZ3sdu8Fzk/qQoc0gAUTM4wGoOlb+fbR07DgnGWIVYOc6O6wuQDHkUyjo2DnCtPTncC6yh4204s/IfuxfV437+g2n2+Oqatc99sOUiluLWG1gy7yTBFw0pjyEd+NWbuTQaMQ2HRqhKURjvDAzSnEjj3hmtd2dTGKSZGP3DICVLh6SoixItuKDgCV7OQKMYuOrzcnPFgu+X2cOAwzwQiVhdu1sj9KRCMJyRPy5FhmsjVsMTMKRW0NaxVWrMlFSa1omlsrWJWfZ5gZViuutfXQO9akZ/fNLjwha2bUFphc2NGXIg/dFw4zieUdrx8ccn98x0K0eMobWi1ys77k6xdPt8YTis8zZXg5Iueo3SxWgsMt2S4BYYkQX5QCmUaxgqF+sksy6y8MgQbOPeaCDSlZJCsDN5rrlchDKxFcW8XOCwNheXB+cDZZmATDI9ujkxeCru6wIdv5dqwzzoGL9DkbpL7whlDs4qH44gynmANtQmj5GlZqekpj08JXyUhPriAd15c4sPEmjUaTbCeuFbu4omgDQ+mS6bs2NuFUKQ7KjMc5bLkChiPUnRt3x44GxvNBwa1UGvF5MSM44G3KG3e6lR+uxzeaobgxBRO96rMKm5jQw/CKHXGU5rsz84lE2xgjiv3xhFyIpXCaV04N4DRnFtHsIGt8+QqGO9gNJNz3C4ruVVujrNsylOVQYhgaK0YfSM3wcr3fSPgXZGb+PrUd5OXytMZnG8cbWYTF56e4KQLZzsYneO0LNxcH2kDPBgUzZ3hNFgzclEaH50Nl63w9BSZug3I9alrWk5Sjc+zzDDss+VRXU2+24ih4qsPDQ+mLZlGAehMrVILx6PYhnhnScVQa8V7x4MwobThar8nd0NJm+HJKm60uG5lXsVE0WW4UkKxvr+TdcuvHWQ4ahZ5Tw+NGGDeNdiSeYLnws3kqik5osaAM1ARepj2gZ1zbEZHmD1eLZy8bIac7yJL78bWGY5eKvOP7gWKWWYZzlrgZpm5t9lQtOKUIaWIDgODUeRqKE0GMktumJQpztJy5rRE2WRZZXCsKETlub8duV4aG3vgam5c72WWNQY5N/c2AklVBBprGYqeeWnytBpwwaPXzH4plBb7DMBitWNwWlT5uTCFxpwSVTkG07hbs8ClwfE7xoCuCdwRtR54vJcO2iFQZEdpUQYuhoF5TbRS2JdI09CojN6x8Za5Vta8cn2a2QTFvRCEDRhPfDR53h4ScwyMfTnXxW5i9IarWNAKdqNnPkUWKyLPmyQd26gEHp0QX7SYKtXAg8HLci5vWFLi9hQpWqMLfCRntIZhq7nXoBlPLhnKyhr7xL9m7hJkD7VqzrYbUlXENPOhu4wzcOgecM9qnodJ3A5G57idE+eTJldFro3jmihGAZ6Nf/M0KvBWUvmkOu5OkdvDIu6qQaqwUhVTD+5zhEOaeRgGUta0nBn6JkOvNHfrwqHB1ljumlCUtLLdtE6iUyswZ9llsSwLyVW2XpNyld3lq1iCbIvcHEORG2jtdujntYuulODZqcLZADZYphC4y7INcFEQR1hykpXDVhLVvire7i2HWNmoyDWKT5ksHz4VrIJHd8I2UlWYXY/2cLEFPcA9ByXKgLQoYftsB8GRP/V8hzaGdX/H9Z1gzy3DzTqD8WhtSMp3zQ7YWqgEdl6x954Lr0ixUfpnO3UnWk3HsRHoazICu7w0Dez3C/Eklfz9jXQ8x5hoKFqpHLXmIjQOs8dbmU+ssZJpGK0oRf5b69Y3Gop9ydmo+dXHd8RWZR1Cpw2vKxysdGrzKsyzqSHutSVxc1rZd31KzpEzm5hTprYTd/sDT3LhzFYKA4MfyKWSmqLWjNIOrRJrM5wpqM2gVUFri7EJa/oa3yyY/bH2BW1JdnlUB26A1/YnKh5TDqzW41VC60CpCW801iiW3EhFU5vsAFIonGs8PRbmHJm85WLweKu5NwWWNfLEymvPSaxqIvAIgSjTCkvLsmtGWdacCRrCENgZ2BdLWvcc1iqwGpaoLTkXXjtmZhrXqnGuC0/mxPlQWFYPrbLEQmtCaFFarsklSme6CeBH8SR7NEv3cKPgpZ1lN23wxjM6y3Wu1Lry6CjXz5lpPEnwKSNYHbDTBu9HmvHEGllyZm2VvMpeG6caD7YTJVce32psk25xN8LLd1J8QZ+tGDisK6fDnuwcD31honE9r9SgeFgLzrm3xI+/XY6r2yMfPZ44HWUYd6lhrxpOiz3HYGFeC/PY2HmF0hsyooi+zpVDStytsNTKp2wMRltiiSSjsTWhOiivqNxk0H0fum6Np/s7rk4nHl8JNnvTpBofB2E6XWUJIs6KeV9AuPr3N5p7fqL5gUuvuTklghOYYjtatFJo5QhaSddzOvIYh9ONK21xrXKTNL478FYkaOybBE+H8O9NH063PoTXQ2e+dBdl47eMTvM/k3pOCT4bQePQtZJKkpmQAm8zc7HYWkmnRk6VBc29neIu5ef6j7LArz6CmwoP3AuvpftDt+fovlO+f97LzYhWmttTIpPFZt0atoNHG4UxjtyglIYx0IpoQ5bUUNrLtk0NVVmMt6y3hf0qFGKsBLTY1fXWgBn7XvYKc8rkulJywU4D57ah3MCgZRHbAYOqidsZfFhodUSrwOU2cFg1lMypNlzN4kuWVwqOVjLrKjMdikCwj29hPwv8ZICXgtBqY4E5JdacuDnN7MbGYZ0ZrOdtZxPnYSRXxbpGrNVoFKUqNJnjqihlFeq2gVYKS1Uc1syH9zO3XeCX+16TGekONHI9HtfES4NDKRi0QoWBlwbNIVYMhaYacV24OsyUDbxtGjgsjtIiqQWMUhyWzJIT+ShsSu8tisqaEqd5FSPIAXZJ3sv1XjrnWy2kEdNdgnfBsRTFhSqEMLEpM09OAtPqAn4cuNALGE9dV45VcdcWHm4vsS3x5LTQqCgL93eWbRi4nRNLlHN77F3S5QTrBaRrYQBW5N44FWEQLKnw/2/v3aNtPav6/s/zvPd12ddzTnJCIhDuF4kENGDAYNHEirRKUaAqQRRwUBXbWvmhA5EhaK2ttGi1oqJUUUKjNEVGQaHSYFARRAKCEILkdq77tm7v/Xnm74/5rr3PyY2EnJ2cNOs7xh7JWXvt9c71vM8753zm/M45S+MR74gDYbss2Jp6diY5y72o67905rEwKmcRyqqlLCqObMK5AdQxnDO03OYdxgECaShYY6hbTxSGNFWNt5ZlDFNvCENhOTL0ooTKCZV4Uu9pbcRaHNA4GE0qGgRf5gyyDIM2OvSdwm5QZTEPOZVlNzxMnwPt/2Q0rh4EEUQxB/p9YmsIopZzZjMmviY1ISLaKaAXReRWCKKAWd1SuJbQTWix1HVF0fVTSowWEsaRxs5tpGNSs0RDcLHRwWFpq976stEakYAWMRC7ksZ2TKUKVpIZbazfcdJCGmqbishY7Y9kta47NsK01sToUg8mUz0BYFQZlC0kvS7kl+j6tF4jFUHYzfgoS3YwiKtxQUwcRjSt1gCFxtMLLSYUCEL6WYJzLeV2TuU8SzhGVYs4R2QgNo4GoZ/pTJG61usupapUKwN0OY5DA0jCmKJ2TOqalV5GP02xUcjOFKx4DsaWPO7RNCVJnOmY6TTCACthSlPXlI1nVBpM2+IaIY4MhCHGNMo6Q52MKIBNvbzWConWqQSmm4roHFVZIaHlYBrSNJaduiSyM5azjH6akCa6F60RytqQWM+0CUkTizXCzqwli1s2JzMmZcn2VI1qEirt+kRX/Niio35DIIhTVtMEIWW5l1A1LWVbMmsEqQq2m5rWqGHaagyPMI5QAqLAshQa8qqhrCtEWuIwoudjjb12hbYRGuqSQjszN15PDG2jo32JYC22TIqaIHJMq5iscXhvGSY6Vnh5YFhJY05ulkzrEtdAb6lhQJ8gzQjagKU0Y9rURGELXinJvnVMippRqU5CJDD2uj9Ntw5xoCds6z2z0mOimsa2VK0wTDOKylM7OLpVsr7cZzWK9kWPLYofzyIYWqZdEm5r1NE0vbJ8WqOVzKFNab2namsES2QtiQnI0pQLDy6xlmTUYqjbmnHV0FQVM+dIjWOjqJnWNdPWEcQJRQuTsmUjn7GaBsRol9nI6mmlRpsyzprugY7g4EBpzqaF7TFs5RVVPaMRjWHPSsekqhFjCANLHCU4YwmCECva4sW4htY1BLHOYi8wmEBj9oXopjSRhhdMR1qYFsq4qlvN7cyfh6qG7W04Mp1R1wX94Qrn9jWBnoRwZNayXVRM25bAAGIIrGWQRMRRRC+JiQNNXIr3tF3yPY70JLTZNZdEumFRrSrVXpywNojoxzoNcVLBsbohMJbKJizFGooJAy0cdFbrdawJsUFIIBWzqkFoiQ1MG480DblAFFrEJAyiSE9BnWHzXg1tGqqTmWTaKqRpQUTIyxxnDUkcsjIY6PjlKKaf9Tiwssa5gxViQsqyoGoLwsBiusI45xxprHmWnaLEuwoxwlIYkKRwcAXW1vTUKobd2TcBkPV0fUaFtlARccRJAt4RBjHTumS7atiqW6Igop+FiHdUtW6sQRoSRzHrSz2Gqc5WF3HEccxSEnTFrHrPm0YvPFeHWbcurdE5PNaGDGOYVS1lW7A9axjVDTOnkxbLQsOVqakpWkuSJqwkKaWJSSPtSZZYg4go3RmPa2raRiegSlcYHAQwRp0PHCwvw4FBgEuGNE3DFzcn3DLaYjrLca2jH0Za/W6EaVFSNfqcty3MioZiNmE6mZCGjqHV+xkZqFpH07ZUTUnZ1IQWfKV5rHIKR7f01FahY5b7UdfKKQ1ZThIqCTEIbeuw3ffxztE6v296bHFSOZtgE3pWlbl0hXVhFBBFGgaZtdBUOaNWGMaOQdKjNRYJAiyiVFbXEhsdWxoiTAnoi2PiBGO0HXtsLa5VamudlCyHIb3lZQ6veqpmh3ykCj7p6LNxCIQaD/aB0m2nVjn7OzmYtsLGE4JMi9mmBViEoqkJjFBXNUVd05iWKMgwWKQR6qrAi2UttpS1I0012d1arZI2rYYbbKz5GxtpnqPpkujFFOgoxOPplFuTHudkIb3ljANhQd7RP6OoJhbo9UMGkSENI82rGG22l6Qxg7RHVebstC3jEoqJnkwO9zSHE6dAZ1ydQD8KMC4lSRqmuT7Qti4YiaEfipIjEkvtE8ysIi8aTsqIpcGAQWLZLkNCW+NNhA0MoQkxoWcggseShJ44jAikIQg1f1SWGu4KEvXO6wImZVfXFEdMuloSvCeNQxzgWkfdVPimpvBQ+gbfCp4+TdPivVBUNb5ttYA2SQh9SFFXlGVJ2ToOpJq7sF7DPr0Y+nQja9Fk9YkcbKbrI2KIwggxDVZgVlaUJUja0IsD+lnM5iTAWm1q2gssw55luZdxcntGVrbEYcBSFuzOJ2y8htwAMteRVrrfhRGsxCnYkNBqs8txkZMXU6q2ZTjIdPicibHxlGGUaAFsWiNNyQxIfEvhM5IuxOqcp24aTBJRtg2TUnNpg1TDfGWpZIEoUCcrbGDiHeckY0ZVyGzSUDSwnOxw7tpB0l5CDBTS0uQ1VaVr1Yv1dO6s1ZOfDZmaiCzynJRS19zpQLvpdMbJGV3PMiWzeFQOocupJHBgMKAMAsYSsBIHxGFA7RxVIzSRZdALyeJg39TYwqicRVjpBwwHGYcHhbJ7Stia1Mxm3ax6YOJasFDUwqyuSeMI17Rs5MLOdMy06400DCqt64gMdd3gvGUpCeknKemwRy6WMhtTYQhCi6t1fnlVde0wsq5xIeop+44dZbx67CVaWZ6FGpYalTkpKa7VkFkvgMSGlC3MyoJR2dIGkNc1VWOp8NggJAtS4iiinzbUZc3RWU3cDYUqIg171ZF6qbXvHkCjMq1kWjsQWnBGWE8jah+yYgwjo7UbxgRIGJIGhkGcqtcmgrQVbRiSptC2jrLIGRUtdTNXKmrY8lwVR2g19Nc02sBxp3X0jVevOdKQjAsjBpHmd6wNaQgRX+ONnh5MGBFZy7QW1nuwOYVhZDEGhlmAk0Cp4FaYOEiiQJtGltodeDmku/dqEKPuxBIbaMSwEhpOVo68KhhPMyRMaNqa7dZRTieMumaUadjgMbRNS5aGHN0poM0RQsS12EDrGIoWGox2obYagvMtVFY94xo1LpXXe7FRdzNe6hklKYPYU4sQBpYk9az3+9gw1BOKK6kqxyCxeAloWs8krxgXDaEREMO0aNjYGTOudM07m0IiauTmynQ5hX4SkUYhYRAwLSpmdQWRZTlK6WdL9IOWocQc22iobUjdzCj8gLxuaWNDjcFgCbCMqwZnKlqvVOC8VXqy8bq3+53hMWhIuBloqDqxUIVLLEnNTTQMDMxaT1u3eA8rocVjycXpcDWrDSEbaxBvyPOSum4oJ1ucbDwRen9DA94JpTXEgTB1SorIIs1rgRqXAJ3F1Asi2kDb55e0FGXBtKoYO0+vjalag2HRpuUhAWMDDvR6HM8KfKZFTmLBJEpfbRsdcbq20rKU7bUQb7xHx15pOGTWQGUsxjnipEcrOaHVSYVxrNeKglDrMADnWyZOCNIUZxoagXai148jDWt4q8pVRE8T0jG6homGE3bKinOyCIKEEPUq2572empE6zpwkLeCrxsaC0sBpEaofEPqao53MXNXKXtsLUIfIPbmo1SakiCfV9UbWF6Bh/UG9NIBs3KLE3WLOPBBwKE0o+3mfzugF1lCDKWNSOOQOArYLoSZaC3E9kSV5MzDqtOHtXWqQJJEWU7jAmazKVuN19Bkq0WigyjCEZO2DWPxpKGharXnTu1b1hNl5C2lAXGasG4Ctqa15rS8p3XCrKnpRQHOaZ8mX6tBWevrqbCt9GR2uKdKJUmhl1h61jBpjMbda63MO9QbslXWlHXOzSeAFIYWBgcShklEHAXUEjHIWmZFSl7WuCimbw2Bs9RBw5IXjuZqRJoCJAY6B6dBQ0Bl19Ug6BLWt+XgghJrAzJqWmMZBB5jQuqqYssppXp1OdX9VHscDVtTTz6dsd0K5w894yJm3Piubgr6XWeRpV43uEy/EnGCcqydx4khC1qcF3qBHiuddxR1CVabZaYBbOZCr2moqgoT9mhcy3JmmJYeEFrnkSAgikLOHWYcz0b0LWQCR/yeUW2drkeZaxfngwnkNuGcXkVlPT0c20UJTUWJ5UCkuRDfFfqKQM8JZdvQtDmzOuTWkWfm9XS6mmqjzH4UkTQ66uGcFc2v3TZRQ+tQRe5Rp6FFGOUlG7WQ+wIJh+C1rX6ZNrRVybTy9Hv7o8cWRuUswqxsEWPmNHXEQ7YESzFslrp5zl0JWBmsYnxDXTckSTdbI4pYtpZND5F4tqcFsYXzej3ywrEjDVnQ0ro+07Kll1oqq/HjUelo8x3GRaWjYgMd14rXCuG5T+O63ku9CDam2tzPeehlhjiKNPHqG53HbqF0BuM8s1muXWZbcD0dMXugP2AYW4w3VFXDTlkTedjMte4gBLYqnTNvpasDEW2HUbXKjou7Rps20WryQT9maxrhfMvMweEwIIhS1pKUSZlT5FNyq4nSYdrHCxjvqPIJt23oA5vEyqyyM6DzyLfQ9uKmgeVDWuhWG0uI3+1arI0FDYPQaIfgwNB6S9PW5N5haDFRQhaHJGkKCHEcUrc5RjzjoqV1jsp5rGvZHE84MatoW60H2c71+6ZdnqlBc0sraYzFUxuLtDWzSk9URVkyCjJcPuNEo/cqSHTdDmQZ3muH4kEstG1E4ErGsxbrK6ogxFhhYEPGTUgWN+SlGtuqY+JZtD7Co0altbo/227vlg56sSMaJBwk5GgxI7Lq9ce0GAxFUeElpp948iYgcBW5h771jErHMGlYiQJKI5gDAlOlMPf6qsTnEAPLSYAJYwIMG63RPnjOgxdMW1O2Hi8V41nBpjUsGY/zniyNiNOMngkIoxBrKnpxQj/NWOlnDHsxm9JwaGWJ7aYgz3UtGvZCgNNGC2ZX+wOSeEjbTPBhyFriiJI+YRAysyFtVXHEa0Id0X1cNeBiGADH8oYkFPJKT/++hdUVSGxA2ToKqx2JWwNxo2MZKrQAso+GRD2wOcvZGOeYOALT1ZfFCQfiiH4UMm20/f1+YZGoP4vgXcuoqjixCcc34PiWPqSE2u48Mjq21PuauikovSBAlkS0XiCNOZBlxGnA+tKA81dWiJI+Sa/PMEyIiAmtELiKk3mBdZ7SeaxvGHshyxKWEyDuhoM1QBe/7vdhqasmT0JNFk9zuHUbZjMhd47AetKk66NiwIrBhhFRmtDa7rRhugaLgK8Lbjw64ugkZ3tHCwbTROeXFA5mMz0V1LV6YFXXFTYNNMcx6OmIZTyMq5qirFjKIg4tLfHwZcMw6ZEYoQZq13LLeMbRomBUFlQSkIQWE4SMWyFLldlz7rrOZwlDDW2Up9wf6eoDCGEptPTjiKhRltwggdUsZZTX3HB8k43ZiDjwRIGeVsRIRwgQmlagLSkbQxxA7Q2BCE3ru7G7NRWe0Ghdhu36fk0LnSdiUS83C6Dqwn8D2AAARxZJREFU9oB1jtpYVhMlVPSTiH5gOJ4rDblqNR+wJHCkqLA+p/EB3oSsL6W4ICa0lnGjEyq3q4YW0XVvNRQYWzVoaQY30Z3iUGejbnSNlMSg8rUerGsJAkvfCjt5RVkWhIFh0AuZVQYRz3buGWQhvSxmOY0wxtKPLEkcszTokwQRQVef47p7cABYQgkD6ykENiIxjmnbEHvtHddKA65hVDbE0jKaTRlVou1fwojEWsQHeHGkcYCVgDSMScOYYRqz3AsRAtrGUTk9YQ9C7QO3avW5CFBlrh2KPUVTMSkr8qombxyxNSxnEabIOTlpMY3OZbFGCR55pUSTjVwIW4/BELZduLvRUylGWZyzCWyMuhEATvNMO+iJqUTXR7x2DchCQ5ZknNuLSZOMJSuIhzgQBnFAMKfz7QMWJ5WzCd144CkQ1HpKyIW9EEsIvSzFEnIkb1jqBVjncEFMZGtMI+S+IRVHLJ5+HNCLDMenghjPchYR2IBcAuoqpw0Ma7GBaImsqRk7w6xht4J8EHajWBNNhsaRbuhxo6cX51XBnZjBwdQxa4XVQcKhHmwKhMbRNBXWt8pYCgFr6SeO2gk7ZcPWDlSRhjEGnQe+3FOvuBT1gr3tJjEGnWFFpy76VkNvmUDVNGxPCkLrlbGUaVvzthWKvCAvK6oSxDvGQck5OMpuJG5TTJUYEHSDl1o4UasX6NHwW4quv+/i6knSY5B6wqxBJjoaYDSbcvNYpx3uVC3GWIwNGKYJodRgLE1TYyRhp2npDzOW+z3S2DErDHXbMmo83rUEzpN2tQiTUo1tksFk3LHRnCp4EY/3UDhHzxpmIaymIXEQE0YxplXDbCo4KDobJ41LjozhwEpDE3gKbynyGZtFwbSc0SQpq3FCEiXYuMUEBaFRivVOrrm+zoZQ040C8FoI2E8higIi3/VPCxNs1TAuPL4tWElDlt0yedXStgUnKstKBFUTU7aeOLBMsYRBSBaHNE3LuKwZT3QdLFq3NEVPSgFw8zYcGExI4z6BtYiEpHFAU8BYLCuBw4cp/ajUKvjIkIUR3nucNUTiKCvDdDZipy71RFgFbBCQBA2bUy3SGWYJQSvarSCA1KvzMSm1y0GcFAzqiM281hyHMXpvakfTue+TGqJan6tiqq+lqfaQs0FAL44wcUVidcxA67T3l6kbJk73f153JBq64lxUkWtuDjJr2XRCUc7YijwH8PhswGFrCcOI/iAj3KcaFVgYlbMKRhxlWSLMW6DomNRtrwolNmAloJWWDEdZN0ytI65btpuWMDLY2nOihCasiMKQIOoTxSGmFaVLYsiCgB0McStsm5YLsxjCPknbcKRWZT7LIRui7Koa6lCVaZPpxpauFXyaaT8kZ2E5ChkkOthoxUIhdUcPNaymIXXUcjBLyGeeum20UEs6ZhfQT2IiGopSCwt7IWxWempxrYa52lYNXFlDPlIK8nIPioMVeVMxnZVsNi0BNaaMCMKQQRoSSo9+VkMEy1GCx2KUY0xrYqKwQCINM23leyeUGjgPPRnFRh/0YQLe67jddh7Wq+DW8YzpGIhhLTVKHW4daRiCdxhgnDeEUUWIIzRa4Oac4MRRNg3j2QwbGNIsIpaUo9WMrAfnBZpPakpdi8bAShYiJsKJGu8Cq/RjG2ExGBOQJWBrJRyMCphNYBgKk6jQme11ShQYxIRExmKwROLJ4pCVJOBYaYmNesCmawkTJ+xmzdeA4VA75tahnkAjC5FzBARIUzJpnLLHgK1ZSZYW9ENonEG8wxFRN57IBuTiWc4SBE1qt64kL+DL472xubHTBHWFNrTc2oajq1MOD2KW+glREtI0hjKMOZgEtDYk9C01hvMGCVEUsZJmiAmonTCuapIsoA5Ccm8ZTwumzYT1rCQMk66lUIR3jhOV1rpItwR1C/VY+35NKmEt0+7HBdoBeVrX4GFnJGzN1BlKRLtGlC2ETsdLlKuwbB3TxmnLG6/P2ayGWdlgCXXCZqMnI+PV2QlQ45KgOiKJdRhY0FPKXl6XnCwqek3BxCY8LNXw22JG/UMEtQMXhgyDhv4QhgJx0iMIcoydT7jzhNYy6PWYOTi2Paa0AYd6EaGJyasxGydgWjtCN0ZMQl7MSJKU1IbE1mDwxEbIBTLxbLdwODVsFYJ36nl5Ua88aFXxJ5W24F/PIJ8Aoh7qOX3IE1hOIyoP26MRddsSRZbIe2ZVzqjS+gtfgQ0LMnGExuKdsrzqEFaGOpxLXEgbOFLvOVZ2MedSvbA06vo+1TAba3fgBMhnMKqE8/GYAMqpDlrK4oZzgwgTxARpy3qWkuNJ45gkMBgv5K5lKVWvtqjA51rgF6PXWqbzBj1s1TBc0SK/wof0A0+WVqS+q/RvNanejyAMM5LAkxtDWdc4WvKq1O6zVuglCVXtmOSOaVkwmhUcG48Z1Y6lZN56RI37pOrqc7r+b5XTAVVZYJEoJZ9sc7zSxG5gYYiDwDKIQ63dM+rZb2wBOSQDDWXtNJ61WJjmDdI6erGlaUNMnGKBghgbWJ1j76DI9XMGLayiyqOPsq/GXXhtkFlWByvEVQOBxYSWrG3AwaBvCaVhO89pIgjEMnUCbUEYhiz3Qnqttnk3onTnvG6RLrfVMchZQ+/7DD0xxaGG/wwGnBIfrIFBaImihJUw0O7BUlObgPU0IUtT8qJhXFXKHmxDrBdwNXEkLKcRNkxJw4C29USUbDdOQ48dG9B2a+BQ0sgFEfQNbHgdNeA95GWFCVst5EVZhV5rSrHonJpUGxowtkqkqNq9MF9kASPURU0QKstueQDbG0qSSNDOAgN0o44KmFQNcVFSiWElg6U4YCYZibHMfKQhdbM4qTwkIK6lHBcUDgZO21pvTXOMUy/VWjhZlKybmNZ5jPe0gWFgoJWIYWR0jGg3QGtUwvqythC3xiIIJgxpvadoNObdT2ISaylNiHVTTKQDufJSN/zqQDfJpIVV0cZ6Wa9msgNHN2E4gCUDG42hl9bctFVxYtYSZ/CIQYrHMCtho9B4+6EoIJ84dnyjXr7RB7RxsD0rMbJHWw0CPQEIdDNBtNCv6tgzc46+7eTFew4MUramBR5YiiNMkrHcyxhPPZ4CYwXvHVVXDh8ElkGSMhiqspAQggjO3YDjokprGzikDie9jvm2ElpSAp3IiYYGl0JwffUwAxOxOa0RI5TeM4hCvBh6Sci0aGjDmNg4rIXGCRbB24DAOmZOK6brLty0NUF7uk10vVczVbKjpuZg3OfWFrLEMCuEJLJYG9ALtRrc2C4/hOZ+fAO9UptmPqqdIa5HGArehKT08MYS2YDN6ZSVIMa0JbV0tOoYslrDnzvAOmp8s0RPMs5AZAMyPOOqog6FxME0d+zkUHnPJIAVOyOUkLz0NFFIGsesLg/Ic5030jQNToS6nTGb6X5o6UKuKDNvrtBXgP4QDgyGGOB4WbOMQ2xGmkAolpYA61smdUPuazIrBDYmCsFhqKuGPA45p58RpT2kKUmTHv0YgjChrmYcnxW00rIaGeqecEBgdLzbE8BKopT3SVMxqxwnCwgDURKCD6lmsDlWJ8r09GRfonvaeSUgJJFSw9NUWxa5rrOE8w4n+gysLmvfuY2TpY6nQA1KBeyMdIEG6RbOwOHlJWxTEUcps+kOx2vLgdYzma0irunu3pnHwqicRWicJ+/oihub6k1KrC3ObaweTN44lnBkSUIsFlM3nGgaLujXhLZHGMbEpiKwsB5DFMYEBmZNg/c1gQmZlhV1q61f6qblQE89pFkUsZQWyq5KtWPv5kg9ooOphp3yjkY7m+lDsLGj9SQS1tzmYBhH9DMdu1o4HZHsvNKhixx2ZjXGachoXGj7F+v1x4TdzBZ1GMlzVVa9VB+oLNMwVK+F4yMND84frM0tOLm6w8NWz9FKeSNUHgZNwbHNCi814/GMUaz07INrh2nbhthb6taxEsHEwvKqsnly0Zh9ixqWw+zlEYIQsiQkNgGB0VPK2hCCKORwlLA5nlG6lqYtsTYldI42ChhGQt56cudImpZ+lhK2jkFosEnImjXMgOVACwiLRnStlfikoadciRJ9tBAxCCsSJTkxDPfqNbIwpmwcswls76gCG3WGcU00fzUzKSuRZ1QYXNvQCwMiCZEwom0sYCm8UdUTQipwM6qKpPuJAGtDVqKWkw1EkaXxwsQbqqrCJjE7jWN7BMdOwnmHoN9rmVlL5WriMCAWgxFPQM14WjJ1NWtxwHYljGtt05OghtF31x2dcj8iAyGGUV0T0HLSaY5i1gKuwEcJNA3OK8Nvc1bgJCQIhH5oKIKIYRRRdzMmrIEkjrCBxwG3bk+ZVq1S7LMeg7bg6LZH0JN7L9XQrLRwsqgxgYaookA9o9Ramu50IugppGrUoFi6jtioExlXOdKxGwexklRmkafuBnolKXgbMEj3iBJT9LMG6DNUiVLPEyesJ8qEqxwE1lIbSJKQaQ3DM6m8TsHCqJxFsIEqqRq9MYWHpNQpc7YHh5bhnCzEVY4i9GShhTQhRdiqrIYM2oam7QrVIlhLI9p2ibyp8SbABpZhkrDZttoaBcNG0eKloq4KNkYddXSsrbWXUg0BlQ00IYjozO6J1xDNSg07E2hSrZ042E/ZmTUsxQAtQaBGrXVdsV6s9Q5F03VidmAyDbNZqz2kDEpRTXtqjARlfAnsarJ+qlTbHfT9FzhtpDktmo5K2jCpKlxdU9uYwNXcsgE+g7gPT8bRWG2c5KVl0mpjQme72fOoV9x1vqdAlWnTAD3YmeY4FzAptBg0X4Yl07Ljta2Iax1F3RKYklpafKtt3RtpqGrHiWqGmGXKqqaWkCyKsWkPt1VxYwsXLIsWvXV7Y840mlf0163Kd8LlRMDaoMfQe0oSYitUbUXR6gwa6YoF5/NPpmM4PoCD2QY3u5YDvR5BGOEQJfs6R1V5pszIjCNNQ5Zdy7Eu5DPPN010KdgYa1dga2BaOazJmU5rigAe1vNs1xqyiwKIe0qDDkzItC5wpsQuJZRlzaxsKbxnPQkIwoyUWieftnrbO2Iibfd8TFCFOp3A5EBDU3kmoWWZms06YDnSNQ/EEHrPUppga6ESR+VrxAekWDLxTKuSQSQEUUaDpXaeWVFCmFBWBWWt7KqJm3F8rO2BArQvWz/WcQgugIdlIWPvMUHLgX5MzxsmJtB9bXT/bDuNEoy7+7Hard2s0nxe2xXUNpmGP52HdqZreKSEYTajKvQETbcePdSQrQ71hL6SBkiWQV5yZDRhMpshvSUC11LXjnC3V8GZx8KonEXoRYZBalnB4+lixrV6MIdS9V5M1CcLAhyW2rVUVc1k1jJc0iTIpPEUFbRj2EghX6tYCg21s6xEVumnxpGFEVI1NN7hqylVm7CTN+Suyw+gm3W71Ad3tSt4szZkZ9LSoArGhnqqyDIggSaKiJOAMNZRpmEQY1EjNylhfU2LHntoQeTcA60crKYG44QkCMmlZS3VB5VOKSVeq8mXVrtJhHQJSqA31AR86xusrzk2g3VbkrdClhomZU7Val7Hp7BZNAwiS+NbytaR18r7P5lrwtMD57BntAxdqCfWamYbWsR5To5gu4becegdBkfNrIC4V7GSBIyLiqOjHGuVMh61npEJWYo9cZ4xmuVkWUYvtoS03DZWQ3qLh8Or6t02qCKf0iVnI6UTT1v10msDiRicsUTG4W2s0zOdoam0G0Kvu581uoYWOJ43rEqBBVJrmbaOoippvFA1JQZPaARftUxmmnMS1CP23ZpUaE1T3mqRbpa0SJrgUdp564Q0hrVl/fcjVkKsa9muK8YVREHLZl5jbU5gLQezhCAMyULtjrzS19zSdKzPA2iyfj5DpEap1jtFQRxnLMURee6w1jMtSuqypfUN66GAj5hVjiyEvKhYW+rjGoezCeKEwEBstU7IiSekYZJ7Tm7paTjuOjhsFtrUdBsNAYI6cOtJQhgmZGmL8wGhTbBxwoE44+beJkmr9yLpTlFJo8aoanUNhz3tRDFrtbGrcXoq7iWwua2Olo5eCKgDt+tw0N2HKNI854E01Y4EZc5mUXMgmnFiDL4dQwZV1WheZZ+wMCpnEcq61eI3tIdPUqkhSdAQwCACqQtyE2JxeBswTEMaYg70elR1Q2gqph76FSBahOackIYhLgjpG8vJaY1EhjzXmdozB4Oooqq7iX6mG0SUa5hlisauAwNZGBHYlhZVLK7WxotloTmJcjZlVjmSwGGCDMRROWUMVSXawr07lTijLJZaNFG5WcPQaSsa371uW7oeSiCRNhakywctWaVmnteDxx4OeMSBg9w2Khm1HmlhUgoDgzYFFE2InphBkcJOvkOV9JDGISbQNuKN5n4yrwp4E1VkIfrvFqUdHxrCOb0B26YmNrk28yuUGdbrixqQtmF7ljPJa6a50qJ7cUHZgJeKPITVrGI5sXhjqOqKsnGETpXHIFJWnGv2mEZpJ4sR8KHWacyMUqqLpiZwNVNnWCUjCkIMEVEMgeuadeqWYAkYjTVntZrVVJLSVjWTVnBto7U7M0cTF5hUT6hVrWuRoaODNzvKtQBtoYqv7RhN0jRMKzgwhCBK6PUN2WwGAbRNy7aEtK3XQWslFP2WfiSYbqBYL/KcmLaMK50t1OtrceEtk65xImrgU7pCu1YNnJQVo7bBNC1ZHDGtG2oBvCN3llpUPm90L/vWszOumLQVgz4MlyEOUhwRqbXkQYyYlu1cT+bUkK1qOLrbhuTAdATlMkyiikBaNnccO0DP1vR661g8WVek3HplfLXdSdN1OcQ4gKXunjdGO0rEXf3LpOs9V5bKBgtbRzvvWdMhQO/x9hSO5AW+aBnbADuD40GhHchbdRJbYWFUHirYmOTszHSj9kUf4CSBcqZUwcDCVlkzLWuchQuWI7xNGIYBYi2rsWUcJyyZCgngtmNwcOU4DsNK2scYQxMEGPFsTrT4aqlrZW6sIU1kt3Hil6eqhAJ0k4Sh/oDHtGpQVoGkr55zEUEbajHedKKeV7RSEAaJ1gtMu/CV04fEJ2ogdib6faWCtVa4bVPDbkaAVvMbvbijDof6QFZWH8KR1er2MIEsMFTi8W2NFWHYgzgyOCeUxhA7rdHopd3QLRMT2gATAY0nDQz9RCmhO4Uq0HmAoEWVVthRSSeFFphJVWgxIJrETmNVHK6CcSKkQU0QxQRBzXx6a+h0Ns3hFAxaQVd7p6GnVoj6Op54rQezUskWc+Xt0f/vpTA02rJnuQejTdiuNVcVhQJhxYHVBJwy5ZquK0LIXh5CgHMGEIU9VqKYE/kIEwSEVjBNy06lyeeihtmOGsxBtxYSokcE9ASUxF2IzetppIkSlqKCzQk8vNcQJ4mSjTwczeHhS5bNRvMRQWp5+NKQJO1r3Yg4dkpPURYcmxW4LpcTZDCsdQFsJ39LxwTrwSCJ2Z7WjFtP1LU4MU5zgnHfs9T3+LJlNFbH4MASbBQFbaD/Hvb6pMkAayxFW7FTzJCq4visIO86BiR9OG85YdZUjGewMScQdIWeeQmtc2wX6gDdNhKGPU/PWgYdlbfu7sGgD+EMiLSId9CHKE2IgwDyHKn1GUpirReTWo1QEsDRsuv5tncbMGgkIE5ge9zq6TRz5AaWjWe76TpPhJCGhnQfNf/CqJxFCKyhbdRD7iawElhYjtWzyQuYJNpyvhIIgobDGbQmhKokimKWYm1QGKeqnErTx+UzjvmSx/dj4ihkdThk0020+6+FAxmUldaGuLwLZQR7bSjmjPYggKrx7FT6+gxVkmWlG54eGBpGJZgcvtTCI84tdRZHl2yejOCcoZ4ItipwUzUwbanx6clMjZlt9fRSAbHX7+NEO/OOZpBP1WPdBIbbcGTUstQXbBhy3soKVV1Ri1A2JeIcrQWceugDq4V5B9KIxodsmpYsi5ltV0yV/bob2gFNaA7Y8yrzAqatY4o2fDSFKoVhqgSFUQ1LNeQhHEosm1YL3FayhCANiZuW2AqtMYReMGLACUVdEBtVzl6USmxDGHbrYOnqEhyUVo3t5gSObShN2JcwGIIPHCvhBCRikmtSO0KdlOPoxMTVmbajOWfQY2kwwImn8Ia2ghHCer/C2YADWcgGFa3T+5cCq5GGBrfoEue2m5IpkKYRa7blSJdorlyAEDBM9JSwmkA/6zGMIk7WjsQ4GhPRi4RR3rI1K4mlJggiLhgIN81mHM91hol092MEbHT/H9Mpa2eYlJqPwID12oZkPsZgmPZovCfrlRS5dp5OGg0jDlI4mIas9mIaQqVgVw1TD614fAsm1bqpotbPXR7Cwe0upNgx37zTRHro9USRe+2WnIQRHj15DFeVlCKRduE2nQZOLMRtxeYETpzUk2goGiLOu8LfvoVbN2A5VxbfsNv/oM/MOrrmhYPDCbRhwDDRGFroNWS9lEHaS3Vj7RP2j6y8wL1GP7JEkT6oY1S5ZbFuzqZVBlQ/VGW7S78xhp285GRZ4l1N4Y22dG/VU1sNRT1zaZl5y2oWkYUBIVr3sRxBFEYkkcGIer94zS1s0MXg0dBQ0ep44BD1RpaB4RocPgQrS3BgGDIaw9aOxsAjA0kYUlZw0nfDv0I1WAbNsxxr9HskVvMmY+37x3BJlV4YaPgr8Gp0pq3KHQd7zKwCbUWSWEOAkAQBcRTQs5Y2MCwnIXUOx5wq59CCELPTKIMnrFu2ppWy0Oze586RAv1MiRLzMELdVqxFHukStr0eLKcJURAx3tJ5OH0DSW/ISt+SDnqcv7zC+vIK5w6XOTTss97TMFUWGKIo0LCE0TDhtNTcyvpAG2vG7BFAk674zXVHqBg9Ka0MtJalLGGjafGuOe20OQj0dBmhhAQxEQdWlrHWksURxrVkScyStJgwZNno6OV5C5auaw9t3X0eGpqtWk0ohyH0A6EyCWGXoxoVJWVVUHlNaC/3Upx4xlXLpK5xgWUYhmxOa24+ucmJyQ7TtmYpDjEENB277kSuOZ1t9k6O858s7gyO0X2x0lMWnLUG65XUEOCwdUlZq4Ef9rRDsAlhbbjEIO0ThSHFNGd7Msb4EtuUOrJBumauBeR1S9HA5s4pRYcRNDnszPS5i7oOA3QJeOdF2+1096Gfwrmr3eyiuOssnIb4IMZHhsCqMWzdPI+pTMdp1RFIHBxv9gxKiJ4YJyi551AGQRay2ss4tDzgUG+AxPodbt6Buqyxp2VkziwWJ5WzCKUo3WfKnrXfGquHHKLeehjA6pImL5cTyOKEXuOwUUTetDS1Y9PpLPleBo889xwmN97EdusxrsTJCoUIxsLGWKcjpnFDLOr5h7UalnnR9Dx069HwT1F1DRbRh6oqYSXuBiV5oYk0pGZCbRlhsEym6l2maMuZ81ZimrZmUqrCs0EXOolUIfhEPf+se3jaHI7PdGxtrzNOUQLkui4WbZpXupYggLr11M7gEZaiiEoCgmSvXXpRQhJa2rrm1qKiwpGGqpiDoJt6ecp92QCWCz2hRAlEQ7AYst6QMCi0qd8OrD8sYFxpzNq1cGwGFx4Oyeshy/2EleESaRKzPWsxriaNE8Q7RmVLVTd4r/c3S7vYulfadRyrUY/R797UWreSoLmX6RAODqHO9e/CQPNCU98SsEcyWFuH4oR+p7VlOLeXEYQhG1s75HWjI2x9wNh5Iuu11qKsOL6lCmuGGuV+d2oo6ToO5Hq/bQE3j1rODaZsVFo/UtVKi09i6CWGMNLOxJPWkQYBEQZntL6KMMW6rtEihrQXIw3slNqtep5PMZwyPwQ1Xr2iYpCACQ29JCYJI9I4IclK0hgKZxg1eo/XMnjYygAbRmztbFN6aHzDtAw4VjfgW2I7xEaG5b5FmGnyfAZHBG4d6bjtiq6FT6Mnk6wPGzM9/YSBnmZ6YUjdtGyN9XulgRaSbk47Kn0X1g4xOKCPKOPRqPE5uLZHsHDdPcirPdIC7LbaYwis9nUNpGmpqFkepKwNUu3MUWgI2XXdnPcLC6NyFqGuasoukO9R5pFrlf3luixrXnVH7bpr0CgNMYY0jomlwZuElInO3WhhWjT0kwAb9UiTDBtETCdTxoVSJKtWN3lsteDKWO2KfPPtZMuBE9uqIITupIF6WZNacx6mdvS9Gom1Ne1m3IsTSr/nVYYpDNOEtaxhuxD6dB7uOqz3oOkpk8Y5VaTTvAutoVP2Ag/5dlcISTdGFcgNTOsW45SWmlqonME7B22N70J0PWB5CQ4M+mwXBbauacuW3MEgg7WBGo9THzkBvoQmuA9Wml/YKsbYekCZdw+8g2ndUImOIMBqTiIIYpajil6Scmg5IQxDtmeOLNVpk6XX6X6+O60ZNCwyrtWznFTat6tBjUiDKrDY64iDoAvL1F4bT9aua+MRR6xg8NS7UxrjCM5ZgwMDOHgo4fDyEgjMypqNWY53FVEcs7lTcbzQJHEa7eWX5qeeMWpkalTJn5xpbmOnhNUWfA/GG3raWl0DE7SUDaylauT7SUroGnYIWOsH9JMYEWEtEqwJWI4MVV5SugYbaO7ltu5eBOhpa87+qtC8T+273CAGRMkusXe7zlAgwmii+7S0sJRmpFGEr2tK8dQeegYGNmBUe8JAGMQGR0LEjBlaMJq32rr+eHf9FdTJSiaQzGB9GfpLeg/6kfaac6GhLruuwkZPlLXTE2CS6r0pvOfcLGHLQ+tr8qk6MEkIh7OA45Wjqfb24/z70+3pFCDUNT+8JvSTjNIbZg6GXplhYdP9N7RE4aKh5EMCaZJgTzmVejovDT15bG6AWet6cKGng+OldrYNsAxFp8QldMlZ381uFw13Bb4loKURTxhpqKWXaTjICIymesRvmr3hP3PkaEx+ZwzHYHeU7DgHpjCN9HoPPzDggmZKlcBy37CS9ojRjR8A/QFMy5JxJbRo7QporuT4qGODNRoWOJrrtfJOhnO7gq2t7vpjVNndCpy7BZP+tlJdnWdiLQ9bGTB2jtpE1HHJAbSAsx9DliaUdUVT1szqktDrnJhIVFne/pGbG/kd4KIRbI6EOppwXFSOYgJblUNaTxbD2gqcuxzROM9MhNg5NqeeNIVebJiWlqWkoqkcSWhJo4hbjGVWeDYL9XaPj1UW2/2MUYVqpBsiVmqtUBbDUqu5rVmhe2RgWlqf0Tc1koJtYDnTk01gtI9Z4RxJW9F6QxIZWhMxmRYc21ZlHUiXhGavJmJ+2puHwkBl3ELnndSVEilmotX3GwUcHlh845l6WE5D1tZWEGlwuaOptRC3H4f0h8vYsmJa17RSU7aOWaX3ZX7NmL3WKBVqaH2rLLkSWO9F9OOYKEzYrLYoSw23PmIQEId6Um48VGIQUWcsb4VeGGCkxRg4OIhZSRKKMCEKW5KOidmi4bVi/sW7fdGR2HAeDkXa8LF2sJlASknf9vRvY817zXIltYxmcCBW4+Fax6g1ON9Qd/krW6ljVScWGzrSHshkb+TAHGW3/mkL8Riag5BGhlHbIFJRJgmzrrgoDWBpkNBPFkblIYG0CwOdinH3M0TDNo0oo0eMMoOWgpqtBjJXImmP1SQijKaYjpEzdYYkCUizAf00QYKMwKhhSmM4tBISmBZq5cK7VhOq5e1k69p90RZ7RWgZGt6oZ1Cn+tCd00u4LZ5qxa/T0MYggvVGlULl4Oi00emJI82RyEw98hWvVfdxBpMduOF2MmyjD9OEvfoWUIVb1FCbiLapqIxhYA1R2KcftVStJ/SqiFKrRrOoHdOqYdY2jCuYbCs7ZmN7T4HdFTaAC1ttFzJBP3cKGK8DyZYHqihsnGJEmBQVratJjNArUxqxLKUBtY9ZXTLkRUPZVATea6tz0dNpFmoubX4aW+6uXzk41NNcW1UpnfmcA1Btw4mpGuaTmXBoaEgCfV8mXb7Kq+NQhxXDZEoU9jgw7DHOhZKSkdWQ5szD+lDDkcKeAYE9evV8jToSk+abKpCkC49VmltjrdWeV17DWiuDhFuONhybFaymLV8TBuQt5EXJxnhM4VsCaRlVOvJ6Y6RrPmTvxDTfnz20oDaMdaxxWbVEeLIw4ORJODKBRwRgbEQS6UwcX8FWPuFAFtE4SxYYGic4QowRxqXBmIphZJk5z6DTv6vA+jpsHlXnYv7dB3SMTWBnG5b6eor0FlIRkswx6GjYSagsLemq66tGQ5bqpAnjqTCTvZzqsS3IsobRTNmAXdR3F3MG2Hw9olL/ZjlpSYIQa1q8Mbi2I5oYODCM9zVRvzAqZwlEhFkj1LcrdJ17iMfR8Asn1FM9cEBzF7XTzrU3nSzxvZLaGGghzLpQSl2wPZ2xFmk/qCxyTHOhyJWq3K9bTKtJcyeqcOdK4lTFOj9yzyuzE1SZ5zlszjR0EC3BoN8nZZPtWo/0cRgwaVTpjtAkb1tpvqEsVVmYLk/jczUagwCO346HD3sFmSGn5zy20e+ynFi2cqid0KaOJPCUTc3YhSRRp+hqpZmOZgVFUzOZNWzn2hZnsKzJ/G32DNadwaIU6UG0F5bKgDCyBLWnKvQUEfuWLI0YpillWzBpPdAQBDGth2EibM08s6pgezphVKkhCTKYTuG2dk+50Mm03l1/Z6Ieej9Tyq0VNSgztBbnnBKagdBf1hNkmUMw0fCNbTWEV1Y1RhxCgPGOonG42oFR4kEc6v29fUr39qdYQZXboKdzdwZ9SE6CD5T+LEGIsa3Oo6krJrOKrfGYrbwhqKE5JKS2ZaMsOV7M6EUWa2MyK3qq6MI+85DPvJDTovvmMNqGvjAwjA2hDTk6qtjOdV/npYaJVwYhTdrqOODac6u0nBt5cCnbZcXQTbl52hCFNb14jZnNqMqKOoYs1/qttj1daWbdfTHzfdDXxHpgNdQUGDg5njJtNCIQxnoCcd336TWQDfTkCEZHCbB3Up7lGh1oKw2HzvfBqWt/KmZo94ujmzVmEHAwdHix5HnXemgCo1nFueu3/8szh4VROUvgvLA92WbrTpQp7CXNG6fx60muSbyyVXqxa+CkgySMsGFNkim9cMcZJEnI4h6tROzMHFsjZZK4HPozDaGMp3CkUI8n4/SahlMx95Ic+lDXjYaolqfaayzPC3Kncm7W8DV1SYEaD0EHEhFDVOnfTfSfjLrPq4B0CifvYp226UIet3vdAs4H5F2ewVhonOW2Lrw06pLLjaiiPDadkFEjovTiBj0J1ty9QQGl5B4e6UJ5VMGNgL+72XNoSRs3yghOLBc85vyIE6OEvJwgbUNjDSuDIUlsKZqWEzszxuWUcV2TV5oHo6vTabnjCeE4EIw7+uiSOpzFRMMqbbd+A7owVNOQb8GJ7rPyTjmHIRyMYamfkcVa6Lhd1UzahqpLfjmnSnCu/O4OIZ3TMVODEtS6LnGona1N22qxn4PKO7ZHU2462TBuIB1AZBylD5mUJdvjllkCj1sPqYOMiJrt2+m/+ZrMQ09NrU0uI2Bn0lLRkntNTJd0PfSwFFXb9UuDJq5YDiOOjpRXfCgQtn1EZGpOjiCNcw66lqk3hL6jdIs2hbztFFmqToYVlO3XS3TtjdGwZCCwnbec2OkckIE6g1OjubO8UoPfGr3n81yl6e5303RknXKP4n7q3o9u91qFRhOqHqyEIcenjrRX0XTFlqWDrXGF88J+zelaGJWzBCLCkc2KW77C+7boPNauGq6s4MhRjRu7HM4/XOu4UjQs4tqGlcgQ4ynaFqlrplMNodToaeH4hirKHN2kFaefBO4MI7082aSr5kVDUMfzAlfATq1hrGlZsM2eR1XlOr3wZjm91Qaol1Vzx7AX7DF+5qyjO3uDs4bGq5H0DexMd2imQpnWDGP1cBvU4GxORvSSgF4Ix7tajqI6PbRwV6iAk7UOUZvLMgUON3Bs0jHdRNvBC4YoCgGDD0IS63FiMS7n2HbDdjEhLwrK2jOdKS3VO5XjrpR53q19M4aDkeZR6o5iHXTfMZ+CPccwEr2Xx1FnxKF90gILS3FG7cHXNePJmGNdQWxglM1V1hoKG9+FHHMyQ589pVtXyoxqUe96PYGT066DgkDZCJuFDkwbzbT3263bOwzjHqXTpo21g2OjHC9wcuvuT0pT4FgFwaYy99bW9kge1qiizx1sVdqmp6g1BNYTqDNtIdOLYmpxhG3JkZ2GsoFJXmJTQ4Rhe6r7coyeMk5lXjXdj+3WNzB6Gt/O9ZQWprqvjqDP1lKuE1S3OwLKDtpnb3kL7HpBP9LPmtPHxegJZdadbuZ5xFP3wqnoA/FQc0fjvMK0MG0qdvIuhN0xSFu/Xz2KF0blrIFzjhNb9+y9U1T59MY68GfUwkqgDxMmonQNaedVrbUtSzEM0pSm9Zzc2cZ1bKwp8OUNfUjnD2p1Vxe9E0zYe6gyNAw3nk05uqO04MkMbtoZ7TJl9Huqkpvc7nPg7k8I/U7eu0Il0FRaPFhW2lrk2KSgCfVBz+u9rgBJALNGSQvbuYZHSvZqIO4J/pHTk/kT4MQY1le6CvsQ1jNLUTW0VUUpQuAbZm3CkoW8DQlsTd54TYLMcz2dsb99iOlUzE91BlU2M9HQ1jwsuIKu/bisOcmeEpwrpFjgYaUmnZu2ZqMsGVc6E2R7AicLsLk2OozTu5YjQ5XarhMicHxbQznzXMOoUapz6brxt8mINDAEkRoanZo4wS6HLAUBNxcaots4ASaCG90djZq73b8b4MSkoxkHWtNR2k65hUr6KGrPaKIng9EUzjsPBm3LMIkIA0NoYeSFvNTwqBM4f7mgNdqiZV4bc1dBoxY9Bd90bK9R5OYJGEVaje+6v93y0Iz28nAO3S9bYzi85nXERXevBJ1dYwplrc0LkW///U9FjnZLNkZLBmwJEmgroTljMjB+1/HcDyyMyimoqoqf+Zmf4fd+7/fY3t7mKU95Cm9605v41m/91n2/dtl4dnbu+ftvBpJNrYko0YdFE7sNRQPbJ1Q5ZRsl+QBWBw21s8y8wwQ6cGoTVdZfKbxxd5h2P0M0dHNyqu1Q+lYL7GJjTnsQ57UNd6c07+o6d4dtYFQrU2cy0vUYdq0xfAimVvq0petjNQPJNBR26+irW4NTH+68k8HtqLGJY/Uyb93Y4sgkJwrBe0Gk4csnT9CjYadoaZuC0QSOnIBPlvfcqIGeLpvOi15hL4k9Apa8frcN9ozfvPapRffNyfEEGw4oyxkntuCL26eHdm7x0Lubo9v8V13pC1PU0AxlLy9nCm1rk4Q6MfPIWJWcRU82eQFHNhuq5gSxgY2TcKyEL9+LddhCPf4WKDc1oV538qx19/ooOpemaPR9k5n2lotWGtpiizCArU2tZt8Exsfh1uNqIG/kro3JHGW3DqvsDRSr0FNGwN7+itF7kqFh3Lkzc2Cs3RHGO3r9eaTgJuCwU5nn63x38MB4DMdPqZsZnbKeS1vw6SPHedR5q6ytrtyDT7z3WBiVU/Cyl72Mq6++mh//8R/nMY95DL/7u7/Lt3/7t/Pnf/7nPOtZz9rfi4tnei80SgFc3+yFnlKAFo6e1FzFvD3T9kjnh/xDfJIsFFzj2KlPZ1LdF8xZYUe6fx/Ou1BLoZ8/Kk//Ujvsz7H7VuDvP6eFbZvz3l2FUpZtqiG3G4GVVtes3tCc05GRKpwzgZPdjwWSE/A58WTRDid2tLNyFozoR0scLSoiX7MxdWyO4MYNlf+eQlBFeiqOnfL/m3RJ485yz41f1v1YdATvP9w6ZSmZcnOuua5TDcoc9yQceKpc+Sl/U6Ehxz6a+7M7ehprqXGNhketaE2OyWG8BX91p7HNu8epub9jnL4Wx4ELRkrk2Gj3HKnpCM6r4a+O7s14r9A9cocvdQ+xzR6xBu7cEZrnCk997tJOTn+bhlVP/YwWvmJI/FTkwCdPjScDt5wSfvg88JmbN3nCeVOeuU9GxYjI/tEAHkT42Mc+xiWXXMIv/dIv8RM/8RMAlGXJk5/8ZA4dOsRHP/rRe/Q54/GY5eVlRqMRS0tL9/j6o2nBi9/0f/jcVyX9Hgacvpm/1moyN4k0VCIePrt/HRpY43SFd4h75mGdSfTQh2tucO8KdxfOONNYAR6Oxti3O0LA3Bg/kA/gGrpWX4UuX+BBivOA1zw75UXPe+49/pt7o9cWvb86XH311QRBwCtf+crd19I05Qd/8Af5y7/8S2655d74C/ceIrLby+e+4Pbe0ac9fKqGj83g79v9NShwRw/6/jYocDpD7e5wfyrzHeBTwCdKrc6/FT0ZPNAe3RYLg/JQwxHg/Z/Yv7u+MCodPvnJT/LYxz72Dlb4G77hGwD4u7/7u/0VwNgHRAEvsMACDz18+t7ENe8lFjmVDkePHuXw4cN3eH3+2pEjR+7wO9DkflXtBS1HIw1kj8d3RcS8czR1w7lVzp1fZYEFFljgzOFc7p2Omr/3nmRLFkalQ1EUJElyh9fTNN39/Z3hF37hF3jjG994h9cvuOCCMyvgAgsssMAZwi3A8n++9383mUxYXl6+2/csjEqHLMtOO3HMUZbl7u/vDK973ev4N//m3+z+23vP1tYW6+vrGHPf2kuPx2MuuOACbrnllnuV9D+TWMhw9shwtsixkOGhJ4OIMJlMOO+8877iexdGpcPhw4e57bY7kiqPHlXC6V0tZpIkdzjhrKysnFHZlpaWHlBFtpDh7JLhbJFjIcNDS4avdEKZY5Go7/B1X/d1fOELX7hDnPGv//qvd3+/wAILLLDA3WNhVDq88IUvxDnH2972tt3Xqqrid37nd7jkkksWOZIFFlhggXuARfirwyWXXMJ3f/d387rXvY4TJ07w6Ec/mne84x18+ctf5rd/+7cfEJmSJOENb3jDnRIIFjI89GQ4W+RYyLCQ4e6wqKg/BWVZ8vrXv57f//3f3+399XM/93NcccUVD7RoCyywwAIPCiyMygILLLDAAmcMi5zKAgsssMACZwwLo7LAAgsssMAZw8KoLLDAAgsscMawMCoLLLDAAmcpHowp74VReQDg/T73n1/gHuPB+NAusL+YN4V9IHHVVVcB3OdWTw8EFkblfsSNN95IWZa7iuyBUGif/OQnufnmm097cO5vOfJ8H/tu30N86UtfIs/z3d5uDwQ+9alPccMNN3DrrXtzH+/ve3HNNdfw6le/mi996UvAA+Pw/OEf/iHD4ZDrrrvufr/2qfjjP/5jLr/8ct7ylrfw5S9/+QGR4V3vehePetSjeMlLXsJf/MVfPCAy3FcsjMr9gOuvv57nPve5XH755TzhCU/ge77ne7jhhhvuVy/kc5/7HM961rN47nOfy0UXXcQ3fMM38Ed/9Ee0bYsx5n5RZp///Od52tOexg/90A/t+7XuCtdffz3Pe97zeP7zn88jH/lInvOc53Ddddfdr8r8+uuv51u/9Vv5ju/4Dp72tKdx0UUX8da3vnX3Xtxf+LM/+zO+67u+i9/7vd/jT/7kTwCw9v5TCZ/85Ce55JJLePnLX87znve8B6x/1pEjR3je857HS1/6UuI4ptfr0ev17lcZ5mtx5ZVXMhwOSdP0ThvcPiggC+wLvPciIvLe975XDhw4IM961rPkZ37mZ+RlL3uZHDhwQJ7whCfIH/3RH4mIiHNuX2U5fvy4PPWpT5Vv/MZvlLe//e3y9re/XZ7xjGfIysqKvOENbzhN3v2A916uvvpqeexjHyvGGDHGyIc//OF9u96doW1beetb3yoHDx6Uyy67TH7mZ35GXv3qV8sFF1wgj3/84+8Xeeq6lje/+c2ysrIil112mfzKr/yK/OEf/qE85znPkaWlJfnjP/7jfZdBZO9ef+ITn5D19XXJskwuueQS+bu/+zsR2f/9mOe5/MAP/IAYY+Syyy6Ta665Ro4fP76v17w7vOENb5AnPOEJ8s53vlNuvvnm+/Xao9FIXvrSl4oxRp7znOfINddcI+973/skTVP5j//xP4qI7t0HExZGZZ/xL/7Fv5CnPOUp8pnPfGb3tf/zf/6PGGPk4Q9/uHzpS18Skf1V6u9617skDEO5+uqrd1+79dZb5UUvepEYY+SDH/zgvl1bROTGG2+UJz/5ybK+vi5vetOb5IlPfKI84xnPkKZp9vW6p+L973+/XHjhhfLyl79c/uEf/mH39euuu06MMfLa17523+V53/veJxdffLH8+I//uHzhC1/YVRY33HCDGGPkP/yH/7Cv++D2uPrqq+Xyyy+X//bf/psYY+SnfuqndmXaLznatpU3v/nNYoyRV7ziFXLy5Mm7XPf7Yy1uvvlmOeecc+THfuzH7vD6fssym83kMY95jFx44YXy67/+63LTTTeJiMiXvvQlWV1dlRe84AX7buD3Awujso/4whe+IOecc4786I/+6O5rVVWJiMgrXvEKMcbId33Xd+27HL/4i78oy8vLuxu0rmsRUU/1G77hG+TJT37yvnqKN910k/zUT/3Urif8X//rfxVjjPzWb/3Wvl3z9vjlX/5lecITniAnTpzYfW1+L57xjGfIt37rt4rI/iqyv/iLv5D/9J/+02kyiIi85z3vkUOHDslVV1217zKc+vl//dd/LcvLyyIi8i3f8i1y+PBh+bM/+7N9l+HjH/+4XHrppfL4xz9+97VrrrlGrrzySvnJn/xJefvb3757b/Yb1157rfR6PfnCF74gIiL//b//d3niE58oT3ziE+U7v/M75Q/+4A/25brzZ/GjH/2ofOYzn9l9Juf4+q//ennOc54jZVner47GmcDCqJwhTKfTO2yM6XQqw+FQfviHf1jKshSRvaPsW9/6VrHWijFG3vve94rIfQ87zP/+9pvwLW95iwyHQ/nzP//z02Tw3stVV10lSZLIz//8z9/p354pGebfX0Tk85//vFx++eVy/vnny8bGxn263leS4VQ5Pv/5z5/2exFdi+c85znyrGc9S4qi2BcZ7g4f+chH5MlPfrIsLS3Jz/7sz8qnP/1p2d7evoOc+yHD1VdfLY9+9KNFROSTn/ykGGPkyiuvlK2trXsk+32RYX46+rf/9t/K5ZdfLsYYefSjHy3D4VCMMfKCF7xg93R/Jrz1u5Lj4x//uIRhKO95z3vk7W9/u1hr5YUvfKFceeWVcujQITHGyO/8zu/c5+vfnQynwnsvzjn5V//qX8ny8vLuXngwGZaFUbmPqOta/vW//tdy6aWXyhVXXCG/8iu/suv113UtL3nJS+T888/f9dLneMlLXiJPe9rT5ODBg/LN3/zN91mGN7/5zXfw/Ocb8c/+7M8kSRL52Z/92d3X5hv82LFj8j3f8z1y8ODB++Qd3pUMd4WrrrpKsiyTn/zJn/yqr3lfZZgbnac+9anyohe9aPe1/ZZhvvavfe1rxRgj3/zN3yxXXnml/OAP/qCsrKzIi1/84n2VYf4dP/axj8lwOJQjR46IiMgP/uAPSpIku975bDY74zLMr33TTTfJC1/4QjHGyD/5J/9E3v/+98tNN90kt912m/zcz/2cWGvlu7/7u7/q638lOeb4+Mc/LgcOHJDv+77vk4suukhe//rXy2QyERGR66+/Xq644gpZX1+Xz33uc/smw53h9a9/vRhj5H/9r//1VV/3gcLCqNwHfPGLX5SnP/3p8vCHP1xe+tKXyiWXXCJJksjTn/703Zjshz70IVlfX5dnP/vZ8o53vEM++9nPyv/3//1/0uv15AMf+IBcfvnlcvDgQfnEJz7xVclw7bXXypOe9CQxxsjll18un/3sZ0Xkjsrx4osvlqc+9any6U9/+g6/f+c73ylhGMqv//qv3+nfnikZTn3txIkT8vKXv1zSNN31SO+LQr83MpyKW265Rfr9vvzCL/yCiNy3pOg9lWH+7/e85z1y1VVXycbGxu5rr3vd68RaK7/0S78kIvfeS7836/Dud79bHvvYx+46QePxWHq9nnzzN3+z/MAP/IB8//d//67B2Q8Z3vnOd8rLXvYyue666+7wu+/93u+V5eXlXaX61eyNeyrHpZdeKtZaOXDggHz0ox897Xd/+qd/Kmtra/Ka17xGRPb3fpz6+R/5yEfEGCPvfve77/b9ZyMWRuU+4Nd//ddlfX1d/vf//t+7Xv7v//7vy/r6ujz/+c+XG2+8UUQ0Ub6ysiJBEEgYhnLuuefuKvCrrrpKjDGnJfLvKf7yL/9SHv/4x8sjHvEI+e7v/m4xxsgv/uIvnpb4nCvJa665Rowx8qY3vWk3zDP/3ec//3k5//zz5ZWvfOW9fmjuiQx3hQ996EPysIc97D7nle6LDNdee60YY+QDH/jA/SbD3SmIG264QR796EfLRRdddFrI8EzKML/+Rz7yEen1enLLLbfs/u4lL3mJBEEgURTJG97wBplOp2dchvn1R6PRHfJL8/f91V/9lRhjTjtdn2k55vv//e9//y4rcX4imT/PJ06ckG/7tm+TCy64YN/ux53hM5/5jKyuru7mYxdG5SGAuq7lxS9+sXzt137tHTbJO97xDjHGyOte97rdEMINN9wgf/zHfyxXXXWVHD16dHdDz43KX/zFX9xrGT772c9KkiTyP/7H/xARkWc/+9nymMc8Rq677ro7ff+3f/u3y3nnnbebwznVK3/Sk54kL33pS0Xk3m3geyvDqZ8/nU53j/kf+tCHRETk//7f/yvXXHPNvZLjq5Fhjl/7tV+TMAx3Qx5t28qNN94oH//4x+83GURO94Cf+cxnyjOe8Yx7rcRuL8M3fdM33a0M73rXu+Rxj3uc7OzsyJ//+Z/Ls571LAmCQJaWluTRj360fOQjHxGR/d8Pp15jvg4nT56UlZWVrzo8em/l+N7v/V4xxsirXvUqEZHTnukXvvCF8sQnPlFGo9G+ynAqTpw4IQ9/+MPluc99rozH43t13QcaC6PyVWD+ALzoRS+SJz3pSdI0zR2S9M973vNkfX1d/uRP/uRuP+tHfuRHZG1tTW699dZ7JcPcIJzq6c297h/7sR/bfQBOVVY33XSTDAYDecYzniF/+7d/u/v6X/3VX8nS0pK88Y1v3BcZ7kwpzeX6h3/4B7n44ovla7/2a+WNb3yjXHDBBbK+vn6P2Wj3RQYRkec///nyjd/4jSKiobDf//3fl6c+9aly8cUXy+bm5r7LcPuT4Qc+8AGJokh+/Md//B5d+6uRYS7Hhz70IYnjWL7jO75DgiCQSy+9VK699lp597vfvatg702e7Uyuw6/92q+JMUZ+8zd/8x5f/97Kceo1b7nlFllaWrrDqfXv//7v5VGPepR83/d9370yrmdiLV7wghfIk570JJlOp4uTyv9LeNe73iWvetWr5N//+38v11577Wm/+y//5b+ItXY3Ttq27e6G+Md//EcxxsgrX/nKO91AJ0+elD/6oz+SRzziEfL617/+q5Lh1M+bX/fKK6+UlZUV+Z//83+e9hnzTf67v/u78jVf8zXyyEc+Ut761rfKb/3Wb8nzn/98ueCCC+T666/fVxnuDDfddJO87GUv2w0//PN//s9PC8fslwzee5lMJnL48GF58YtfLB/84Afln/2zfybGGPm2b/u2uzTy+7UOR44ckfe+971y2WWXyROf+MTd3Nd+ynDdddfJU57yFHnCE54gv/qrvyq33HLL7j659NJL5RWveMVdGpX9Wodjx47Je97zHnnKU54il1122VdkB57JZ+Nd73qXHD58WNbW1uQVr3iF/PzP/7z803/6T2V1dfVuw6P7sRbee3nTm94kxphd1uKDxbAsjMpd4NixY3LFFVdIv9+Xiy++WFZXVyVJEnnDG96wS7l83/veJ4cOHZLv//7vP+1v5xvoh37oh+RhD3vYacV2R44ckV/4hV+QF73oRbK8vCyXXXbZbgHkvZFhTjW8fbHarbfeKoPBQF7wghfsKmfn3Gkb8sMf/rBceumlsry8LOvr6/KUpzzlLsNvZ1KG2+MjH/mIfNu3fZtYa+WpT33qXYYF9kuGL37xi9Lr9eTiiy+WwWAgj3vc43bDcPeXDB/+8IflFa94hbzwhS+U4XAoF110kfzN3/zNvsowD+3UdS3XXnutfPrTn941HvO/uyt69X6uww//8A/LS17yEhkMBnLxxRffgTG5X3Kc+mxcd911csUVV8jKyoocOnRInvrUp97BmdzvtZjjLW95ixhjTitafjBgYVTuAu94xztkbW1N3vnOd8qRI0dkc3NTXvayl+3WnYhou4kXvvCFcvDgwd2Nd2qe4tprrxVr7WleyWc+8xn5/u//fnnmM58pv/Ebv/FVy/DqV7/6Du+fb9w3v/nNYq2Vt73tbac9MKf+f1EUcvz48btUYPslw6n44Ac/KHEcy6/+6q8+IDLMOxscOnToAZPhve99rzz60Y+W5zznOfL2t7/9fpfh3nq/+7UOV199tQwGA7nkkkvuUchrP5+Nqqpke3tbPvWpTz0gazE3MkePHpXf/d3f/YprcbZhYVTuApdddpk84xnPOO212WwmV155pRhjdpPJ11xzjZx//vnyLd/yLbvvmxuWv//7v5elpSV585vffNrnHD169B6xrL6SDO973/tE5I6eTl3X8qhHPUouueSS3UrhG2+88bT47j1lee2nDCL3jMJ7pmU4NV/zG7/xG3fIh93fMtx44433+3744he/eId7cU+wn+vwqU996h5Tuv9ffzYeLKGuO8PCqNwOzjkpy1KuuOIKufTSS3dfn4cMPvGJT8jTnvY0eeQjH7n7u3/37/6dBEFwB+PxiU98Qowxu8Vk93Sj3FMZLrzwwjt85u0pxK997Wvld37nd+Tiiy+WH/uxH7vHBW3/r8twTxk1+ynDPaXr7qcMeZ4/4DLcG9ry/+v78r4UnJ4teEgblc997nPymte8Rn70R39Ufvqnf3rXaxAR+c7v/E553OMet5swPdXbeNvb3ibGmN0uol/84hd3O42+8Y1vlOuvv14+8YlPyL/8l/9SnvjEJ8oNN9ywbzK85S1vEZE7evxN08jXf/3XSxAEYoyRw4cPy/vf//6FDAsZHhQynC1ynA0yPNjwkDQqVVXJT/zET0iWZfL0pz9dHvOYx4gxRi688MJdTvnVV18txhh5+9vfvrtZ5hvjy1/+sjz3uc+VRz7ykbu1BBsbG/LKV75SBoOB9Pt9edjDHiZLS0t3GRM9kzLcPsn6t3/7t/LTP/3TMhgMZDgcyn/+z/95IcNChgeFDGeLHGeDDA9WPOSMymQykZ/6qZ+SCy+8UH7xF39RPv/5z4tzTj74wQ/KeeedJ89+9rMlz3Np21Yuuugi+aZv+ib58pe/fIfP+dmf/VlZWVnZLSQUUU/lox/9qPzmb/6m/Mqv/MpuQd1+yzCP3Yroxv2RH/mR3eaACxkWMjxYZDhb5DgbZHgw4yFnVP7xH/9RHvnIR8qrXvUq2dnZOe13r3rVq+TgwYO71dS/93u/J8YY+eVf/uXdWOfc6/jkJz8p1lp5z3veIyL3rmfUfskwj+l+7GMf262dWciwkOHBIsPZIsfZIMODGQ85o+K9l7e97W2nvTZn/7z73e+WMAx3+//s7OzIC17wAjn33HPvUKz0sY99TIwx8o53vGMhw0KGhQxnQIazRY6zQYYHMx5yRkVkz2O4/enil37plyQIgtOKFW+55RY555xz5ElPetJuIu22226TH/mRH5GHP/zhcuzYsYUMCxkWMpwhGc4WOc4GGR6seEgaldtjnmR7zWteI+eee+6uVzLfUB/4wAfk4osvFmOMfN3XfZ0885nPlCiK5I1vfKO0bXtGOOULGRYyLGQ4e+U4G2R4sMCIiLAAAE9/+tN5xCMewdVXX41zjiAIdn+3sbHBb//2b3PjjTcyHo95zWtewzOf+cyFDAsZFjLcDzKcLXKcDTKc9XigrdrZghMnTkiWZbvDkUTUO5n3+VrIsJBhIcMDI8PZIsfZIMODAfaBNmpnCz7zmc9QliVf//VfD8CxY8f4gz/4A6644gpOnjy5kGEhw0KGB0iGs0WOs0GGBwMe8kZFuujf3/zN37C8vMx5553Hhz/8YV796lfz8pe/HBHBWrv7voUMCxkWMtw/MpwtcpwNMjyocD+diM56vOAFL5BHPepR8opXvEKGw6E85jGPkT/90z9dyLCQYSHDAyzD2SLH2SDDgwELoyLaBv7rvu7rxBgjS0tLu/16FjIsZFjI8MDKcLbIcTbI8GDBgv3V4bWvfS3GGN74xjeSJMlChoUMCxnOEhnOFjnOBhkeDFgYlQ7ee6x9YFNMCxkWMixkOHvlOBtkeDBgYVQWWGCBBRY4Y1iY3QUWWGCBBc4YFkZlgQUWWGCBM4aFUVlggQUWWOCMYWFUFlhggQUWOGNYGJUFFlhggQXOGBZGZYEFFlhggTOGhVFZYIEFFljgjGFhVBZYYIEFFjhjWBiVBRZYYIEFzhgWRmWBBRZYYIEzhoVRWWCBBRZY4Izh/wfW3Bz7zBa4BgAAAABJRU5ErkJggg==\n",
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",
       "text/plain": [
        "<Figure size 400x300 with 1 Axes>"
       ]
@@ -105,74 +100,94 @@
     }
    ],
    "source": [
-    "file_name = '84-Site_12-BP-Solar.csv'\n",
+    "# Import the example data\n",
+    "file_url = ('https://datahub.duramat.org/dataset/'\n",
+    "            'a49bb656-7b36-437a-8089-1870a40c2a7d/'\n",
+    "            'resource/d2c3fcf4-4f5f-47ad-8743-fc29'\n",
+    "            'f1356835/download/pvdaq_system_4_2010'\n",
+    "            '-2016_subset_soil_signal.csv')\n",
+    "cache_file = 'PVDAQ_system_4_2010-2016_subset_soilsignal.pickle'\n",
     "\n",
-    "df = pd.read_csv(file_name)\n",
     "try:\n",
-    "    df.columns = [col.decode('utf-8') for col in df.columns]\n",
-    "except AttributeError:\n",
-    "    pass  # Python 3 strings are already unicode literals\n",
+    "    df = pd.read_pickle(cache_file)\n",
+    "except FileNotFoundError:\n",
+    "    df = pd.read_csv(file_url, index_col=0, parse_dates=True)\n",
+    "    df.to_pickle(cache_file)\n",
+    "\n",
     "df = df.rename(columns = {\n",
-    "    u'12 BP Solar - Active Power (kW)':'power',\n",
-    "    u'12 BP Solar - Wind Speed (m/s)': 'wind_speed',\n",
-    "    u'12 BP Solar - Weather Temperature Celsius (\\xb0C)': 'Tamb',\n",
-    "    u'12 BP Solar - Global Horizontal Radiation (W/m\\xb2)': 'ghi',\n",
-    "    u'12 BP Solar - Diffuse Horizontal Radiation (W/m\\xb2)': 'dhi'\n",
+    "    'ambient_temp': 'Tamb',\n",
+    "    'poa_irradiance': 'poa',\n",
     "})\n",
     "\n",
     "# Specify the Metadata\n",
-    "meta = {\"latitude\": -23.762028,\n",
-    "        \"longitude\": 133.874886,\n",
-    "        \"timezone\": 'Australia/North',\n",
+    "meta = {\"latitude\": 39.7406,\n",
+    "        \"longitude\": -105.1774,\n",
+    "        \"timezone\": 'Etc/GMT+7',\n",
     "        \"gamma_pdc\": -0.005,\n",
-    "        \"azimuth\": 0,\n",
-    "        \"tilt\": 20,\n",
-    "        \"power_dc_rated\": 5100.0,\n",
-    "        \"temp_model_params\": pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_polymer']}\n",
-    "\n",
-    "df.index = pd.to_datetime(df.Timestamp)\n",
-    "# TZ is required for irradiance transposition\n",
-    "df.index = df.index.tz_localize(meta['timezone'], ambiguous = 'infer') \n",
+    "        \"azimuth\": 180,\n",
+    "        \"tilt\": 40,\n",
+    "        \"power_dc_rated\": 1000.0,\n",
+    "        \"temp_model_params\":\n",
+    "        pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_polymer']}\n",
     "\n",
-    "# Explicitly trim the dates so that runs of this example notebook \n",
-    "# are comparable when the sourec dataset has been downloaded at different times\n",
-    "df = df['2008-11-11':'2017-05-15']\n",
+    "df.index = df.index.tz_localize(meta['timezone'])\n",
     "\n",
-    "# Chage power from kilowatts to watts\n",
-    "df['power'] = df.power * 1000.0\n",
-    "\n",
-    "# There is some missing data, but we can infer the frequency from the first several data points\n",
+    "# There is some missing data, but we can infer the frequency from\n",
+    "# the first several data points\n",
     "freq = pd.infer_freq(df.index[:10])\n",
     "\n",
     "# Then set the frequency of the dataframe.\n",
-    "# It is reccomended not to up- or downsample at this step\n",
+    "# It is recommended not to up- or downsample at this step\n",
     "# but rather to use interpolate to regularize the time series\n",
-    "# to it's dominant or underlying frequency. Interpolate is not\n",
-    "# generally recomended for downsampleing in this applicaiton.\n",
+    "# to its dominant or underlying frequency. Interpolate is not\n",
+    "# generally recommended for downsampling in this application.\n",
     "df = rdtools.interpolate(df, freq)\n",
     "\n",
-    "# Calculate energy yield in Wh\n",
-    "df['energy'] = rdtools.energy_from_power(df.power)\n",
-    "\n",
-    "# Calculate POA irradiance from DHI, GHI inputs\n",
-    "loc = pvlib.location.Location(meta['latitude'], meta['longitude'], tz = meta['timezone'])\n",
-    "sun = loc.get_solarposition(df.index)\n",
-    "\n",
-    "# calculate the POA irradiance\n",
-    "sky = pvlib.irradiance.isotropic(meta['tilt'], df.dhi)\n",
-    "df['dni'] = (df.ghi - df.dhi)/np.cos(np.deg2rad(sun.zenith))\n",
-    "beam = pvlib.irradiance.beam_component(meta['tilt'], meta['azimuth'], sun.zenith, sun.azimuth, df.dni)\n",
-    "df['poa'] = beam + sky\n",
-    "\n",
     "# Calculate cell temperature\n",
-    "df['Tcell'] = pvlib.temperature.sapm_cell(df.poa, df.Tamb, df.wind_speed, **meta['temp_model_params'])\n",
+    "df['Tcell'] = pvlib.temperature.sapm_cell(df.poa, df.Tamb,\n",
+    "                                          df.wind_speed, **meta['temp_model_params'])\n",
     "\n",
     "# plot the AC power time series\n",
     "fig, ax = plt.subplots(figsize=(4,3))\n",
-    "ax.plot(df.index, df.power, 'o', alpha = 0.01)\n",
-    "ax.set_ylim(0,7000)\n",
+    "ax.plot(df.index, df.ac_power, 'o', alpha=0.01)\n",
+    "ax.set_ylim(0,1500)\n",
     "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('AC Power (W)');"
+    "ax.set_ylabel('AC Power (W)')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This example dataset includes a synthetic soiling signal that can be applied onto the PV power data to illustrate the soiling loss and detection capabilities of RdTools.  AC Power is multiplied by soiling to create the synthetic 'power' channel"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(4,3))\n",
+    "ax.plot(df.index, df.soiling, 'o', alpha=0.01)\n",
+    "#ax.set_ylim(0,1500)\n",
+    "fig.autofmt_xdate()\n",
+    "ax.set_ylabel('soiling signal')\n",
+    "plt.show()\n",
+    "\n",
+    "df['power'] = df['ac_power'] * df['soiling']"
    ]
   },
   {
@@ -181,17 +196,17 @@
    "source": [
     "## 1: Normalize\n",
     "\n",
-    "Data normalization is achieved with `rdtools.normalize_with_pvwatts()`. We provide a time sereis of energy, along with keywords used to run a pvwatts model of the system. More information available in the docstring."
+    "Data normalization is achieved with `rdtools.normalize_with_expected_power()`. This function can be used to normalize to any modeled or expected power. Note that realized PV output can be given as energy, rather than power, by using an optional key word argument. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -201,17 +216,15 @@
     }
    ],
    "source": [
-    "# Specify the keywords for the pvwatts model\n",
-    "pvwatts_kws = {\"poa_global\" : df.poa,\n",
-    "              \"power_dc_rated\" : meta['power_dc_rated'],\n",
-    "              \"temperature_cell\" : df.Tcell,\n",
-    "              \"poa_global_ref\" : 1000,\n",
-    "              \"temperature_cell_ref\": 25,\n",
-    "              \"gamma_pdc\" : meta['gamma_pdc']}\n",
+    "# Calculate the expected power with a simple PVWatts DC model\n",
+    "modeled_power = pvlib.pvsystem.pvwatts_dc(df['poa'], df['Tcell'], meta['power_dc_rated'],\n",
+    "                                          meta['gamma_pdc'], 25.0 )\n",
     "\n",
-    "# Calculate the normaliztion, the function also returns the relevant insolation for\n",
+    "# Calculate the normalization, the function also returns the relevant insolation for\n",
     "# each point in the normalized PV energy timeseries\n",
-    "normalized, insolation = rdtools.normalize_with_pvwatts(df.energy, pvwatts_kws)\n",
+    "normalized, insolation = rdtools.normalize_with_expected_power(df['power'],\n",
+    "                                                               modeled_power,\n",
+    "                                                               df['poa'])\n",
     "\n",
     "df['normalized'] = normalized\n",
     "df['insolation'] = insolation\n",
@@ -221,7 +234,8 @@
     "ax.plot(normalized.index, normalized, 'o', alpha = 0.05)\n",
     "ax.set_ylim(0,2)\n",
     "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('Normalized energy');"
+    "ax.set_ylabel('Normalized energy')\n",
+    "plt.show()"
    ]
   },
   {
@@ -232,17 +246,17 @@
     "\n",
     "Data filtering is used to exclude data points that represent invalid data, create bias in the analysis, or introduce significant noise.\n",
     "\n",
-    "It can also be useful to remove outages and outliers. Sometimes outages appear as low but non-zero yield. Automatic functions for this are not yet included in `rdtools`. Such filters should be implimented by the analyst if needed."
+    "It can also be useful to remove outages and outliers. Sometimes outages appear as low but non-zero yield. Automatic functions for outage detection are not yet included in `rdtools`.  However, this example does filter out data points where the normalized energy is less than 1%.  System-specific filters should be implemented by the analyst if needed."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -257,6 +271,8 @@
     "normalized_mask = rdtools.normalized_filter(df['normalized'])\n",
     "poa_mask = rdtools.poa_filter(df['poa'])\n",
     "tcell_mask = rdtools.tcell_filter(df['Tcell'])\n",
+    "# Note: This clipping mask may be disabled when you are sure the system is not\n",
+    "# experiencing clipping due to high DC/AC ratio\n",
     "clip_mask = rdtools.clip_filter(df['power'])\n",
     "\n",
     "# filter the time series and keep only the columns needed for the\n",
@@ -268,7 +284,92754 @@
     "ax.plot(filtered.index, filtered.normalized, 'o', alpha = 0.05)\n",
     "ax.set_ylim(0,2)\n",
     "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('Normalized energy');"
+    "ax.set_ylabel('Normalized energy')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Filter visualization example: different clipping filters\n",
+    "\n",
+    "RdTools provides functions to visualize and tune filters for different applications. In this example, we take a subset of the data, apply an artificial clipping signal, and visualize the results of three different clipping filter methods."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply an artificial clipping signal to a subset of the data\n",
+    "example_subset = df.iloc[0:15000].copy()\n",
+    "example_subset.loc[example_subset['ac_power']>800,'ac_power']=800\n",
+    "\n",
+    "# Generate clipping masks with each of the available methods\n",
+    "clip_mask_quantile = rdtools.clip_filter(example_subset['ac_power'], 'quantile')\n",
+    "clip_mask_xgboost = rdtools.clip_filter(example_subset['ac_power'], 'xgboost')\n",
+    "clip_mask_logic = rdtools.clip_filter(example_subset['ac_power'], 'logic')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "hovertemplate": "mask=True<br>datetime=%{x}<br>ac_power=%{y}<extra></extra>",
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+          "symbol": "circle"
+         },
+         "mode": "markers",
+         "name": "True",
+         "showlegend": true,
+         "type": "scattergl",
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+          "plot_bgcolor": "#E5ECF6",
+          "polar": {
+           "angularaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "xaxis": {
+         "anchor": "y",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "datetime"
+         }
+        },
+        "yaxis": {
+         "anchor": "x",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "ac_power"
+         }
+        }
+       }
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# NBVAL_IGNORE_OUTPUT\n",
+    "rdtools.tune_filter_plot(example_subset['ac_power'], clip_mask_quantile)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "hovertemplate": "mask=True<br>datetime=%{x}<br>ac_power=%{y}<extra></extra>",
+         "legendgroup": "True",
+         "marker": {
+          "color": "blue",
+          "symbol": "circle"
+         },
+         "mode": "markers",
+         "name": "True",
+         "showlegend": true,
+         "type": "scattergl",
+         "x": [
+          "2010-02-25T14:16:00-07:00",
+          "2010-02-25T14:17:00-07:00",
+          "2010-02-25T14:18:00-07:00",
+          "2010-02-25T14:19:00-07:00",
+          "2010-02-25T14:20:00-07:00",
+          "2010-02-25T14:21:00-07:00",
+          "2010-02-25T14:22:00-07:00",
+          "2010-02-25T14:23:00-07:00",
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+          "2010-02-25T14:25:00-07:00",
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+          "2010-02-25T14:31:00-07:00",
+          "2010-02-25T14:32:00-07:00",
+          "2010-02-25T14:33:00-07:00",
+          "2010-02-25T14:34:00-07:00",
+          "2010-02-25T14:35:00-07:00",
+          "2010-02-25T14:36:00-07:00",
+          "2010-02-25T14:37:00-07:00",
+          "2010-02-25T14:38:00-07:00",
+          "2010-02-25T14:39:00-07:00",
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+          "2010-02-25T14:42:00-07:00",
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+          "2010-02-25T14:44:00-07:00",
+          "2010-02-25T14:45:00-07:00",
+          "2010-02-25T14:46:00-07:00",
+          "2010-02-25T14:47:00-07:00",
+          "2010-02-25T14:48:00-07:00",
+          "2010-02-25T14:49:00-07:00",
+          "2010-02-25T14:50:00-07:00",
+          "2010-02-25T14:51:00-07:00",
+          "2010-02-25T14:52:00-07:00",
+          "2010-02-25T14:53:00-07:00",
+          "2010-02-25T14:54:00-07:00",
+          "2010-02-25T14:55:00-07:00",
+          "2010-02-25T14:56:00-07:00",
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+          "2010-02-25T14:58:00-07:00",
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+          "2010-02-25T15:01:00-07:00",
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+          "2010-02-25T15:09:00-07:00",
+          "2010-02-25T15:10:00-07:00",
+          "2010-02-25T15:11:00-07:00",
+          "2010-02-25T15:12:00-07:00",
+          "2010-02-25T15:13:00-07:00",
+          "2010-02-25T15:14:00-07:00",
+          "2010-02-25T15:15:00-07:00",
+          "2010-02-25T15:16:00-07:00",
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+          "2010-02-25T15:21:00-07:00",
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+          "2010-02-25T15:24:00-07:00",
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+          "2010-02-25T15:27:00-07:00",
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+          "2010-02-25T15:29:00-07:00",
+          "2010-02-25T15:30:00-07:00",
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+          "2010-02-25T15:32:00-07:00",
+          "2010-02-25T15:33:00-07:00",
+          "2010-02-25T15:34:00-07:00",
+          "2010-02-25T15:35:00-07:00",
+          "2010-02-25T15:36:00-07:00",
+          "2010-02-25T15:37:00-07:00",
+          "2010-02-25T15:38:00-07:00",
+          "2010-02-25T15:39:00-07:00",
+          "2010-02-25T15:40:00-07:00",
+          "2010-02-25T15:41:00-07:00",
+          "2010-02-25T15:42:00-07:00",
+          "2010-02-25T15:43:00-07:00",
+          "2010-02-25T15:44:00-07:00",
+          "2010-02-25T15:45:00-07:00",
+          "2010-02-25T15:46:00-07:00",
+          "2010-02-25T15:47:00-07:00",
+          "2010-02-25T15:48:00-07:00",
+          "2010-02-25T15:49:00-07:00",
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+          "2010-02-25T15:59:00-07:00",
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+          "2010-02-25T16:01:00-07:00",
+          "2010-02-25T16:02:00-07:00",
+          "2010-02-25T16:03:00-07:00",
+          "2010-02-25T16:04:00-07:00",
+          "2010-02-25T16:05:00-07:00",
+          "2010-02-25T16:06:00-07:00",
+          "2010-02-25T16:07:00-07:00",
+          "2010-02-25T16:08:00-07:00",
+          "2010-02-25T16:09:00-07:00",
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+          "2010-02-25T16:12:00-07:00",
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+          "2010-02-25T16:15:00-07:00",
+          "2010-02-25T16:16:00-07:00",
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+          "2010-02-25T16:18:00-07:00",
+          "2010-02-25T16:19:00-07:00",
+          "2010-02-25T16:20:00-07:00",
+          "2010-02-25T16:21:00-07:00",
+          "2010-02-25T16:22:00-07:00",
+          "2010-02-25T16:23:00-07:00",
+          "2010-02-25T16:24:00-07:00",
+          "2010-02-25T16:25:00-07:00",
+          "2010-02-25T16:26:00-07:00",
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+          "2010-02-25T16:28:00-07:00",
+          "2010-02-25T16:29:00-07:00",
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+          "2010-02-25T16:31:00-07:00",
+          "2010-02-25T16:32:00-07:00",
+          "2010-02-25T16:33:00-07:00",
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+          "2010-02-25T16:35:00-07:00",
+          "2010-02-25T16:36:00-07:00",
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+          "2010-02-25T16:40:00-07:00",
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+          "2010-02-25T16:54:00-07:00",
+          "2010-02-25T16:55:00-07:00",
+          "2010-02-25T16:56:00-07:00",
+          "2010-02-25T16:57:00-07:00",
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+          "2010-02-25T17:00:00-07:00",
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+          "2010-02-25T17:06:00-07:00",
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+          "2010-02-25T17:17:00-07:00",
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+          "2010-02-25T17:20:00-07:00",
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+          "2010-02-25T17:23:00-07:00",
+          "2010-02-25T17:24:00-07:00",
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+          "2010-02-25T17:26:00-07:00",
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+          "2010-02-25T17:28:00-07:00",
+          "2010-02-25T17:29:00-07:00",
+          "2010-02-25T17:30:00-07:00",
+          "2010-02-25T17:31:00-07:00",
+          "2010-02-25T17:32:00-07:00",
+          "2010-02-25T17:33:00-07:00",
+          "2010-02-25T17:34:00-07:00",
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+          "2010-02-25T17:36:00-07:00",
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+          "2010-02-25T17:40:00-07:00",
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+          "2010-02-25T17:46:00-07:00",
+          "2010-02-25T17:47:00-07:00",
+          "2010-02-25T17:48:00-07:00",
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+          "2010-02-25T17:52:00-07:00",
+          "2010-02-25T17:53:00-07:00",
+          "2010-02-25T17:54:00-07:00",
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+          "2010-02-25T17:56:00-07:00",
+          "2010-02-25T17:57:00-07:00",
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+          "2010-02-25T17:59:00-07:00",
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+           "#EF553B",
+           "#00cc96",
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+           "#FF6692",
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+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "xaxis": {
+         "anchor": "y",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "datetime"
+         }
+        },
+        "yaxis": {
+         "anchor": "x",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "ac_power"
+         }
+        }
+       }
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# NBVAL_IGNORE_OUTPUT\n",
+    "rdtools.tune_filter_plot(example_subset['ac_power'], clip_mask_xgboost)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "hovertemplate": "mask=True<br>datetime=%{x}<br>ac_power=%{y}<extra></extra>",
+         "legendgroup": "True",
+         "marker": {
+          "color": "blue",
+          "symbol": "circle"
+         },
+         "mode": "markers",
+         "name": "True",
+         "showlegend": true,
+         "type": "scattergl",
+         "x": [
+          "2010-02-25T14:16:00-07:00",
+          "2010-02-25T14:17:00-07:00",
+          "2010-02-25T14:18:00-07:00",
+          "2010-02-25T14:19:00-07:00",
+          "2010-02-25T14:20:00-07:00",
+          "2010-02-25T14:21:00-07:00",
+          "2010-02-25T14:22:00-07:00",
+          "2010-02-25T14:23:00-07:00",
+          "2010-02-25T14:24:00-07:00",
+          "2010-02-25T14:25:00-07:00",
+          "2010-02-25T14:26:00-07:00",
+          "2010-02-25T14:27:00-07:00",
+          "2010-02-25T14:28:00-07:00",
+          "2010-02-25T14:29:00-07:00",
+          "2010-02-25T14:30:00-07:00",
+          "2010-02-25T14:31:00-07:00",
+          "2010-02-25T14:32:00-07:00",
+          "2010-02-25T14:33:00-07:00",
+          "2010-02-25T14:34:00-07:00",
+          "2010-02-25T14:35:00-07:00",
+          "2010-02-25T14:36:00-07:00",
+          "2010-02-25T14:37:00-07:00",
+          "2010-02-25T14:38:00-07:00",
+          "2010-02-25T14:39:00-07:00",
+          "2010-02-25T14:40:00-07:00",
+          "2010-02-25T14:41:00-07:00",
+          "2010-02-25T14:42:00-07:00",
+          "2010-02-25T14:43:00-07:00",
+          "2010-02-25T14:44:00-07:00",
+          "2010-02-25T14:45:00-07:00",
+          "2010-02-25T14:46:00-07:00",
+          "2010-02-25T14:47:00-07:00",
+          "2010-02-25T14:48:00-07:00",
+          "2010-02-25T14:49:00-07:00",
+          "2010-02-25T14:50:00-07:00",
+          "2010-02-25T14:51:00-07:00",
+          "2010-02-25T14:52:00-07:00",
+          "2010-02-25T14:53:00-07:00",
+          "2010-02-25T14:54:00-07:00",
+          "2010-02-25T14:55:00-07:00",
+          "2010-02-25T14:56:00-07:00",
+          "2010-02-25T14:57:00-07:00",
+          "2010-02-25T14:58:00-07:00",
+          "2010-02-25T14:59:00-07:00",
+          "2010-02-25T15:00:00-07:00",
+          "2010-02-25T15:01:00-07:00",
+          "2010-02-25T15:02:00-07:00",
+          "2010-02-25T15:03:00-07:00",
+          "2010-02-25T15:04:00-07:00",
+          "2010-02-25T15:05:00-07:00",
+          "2010-02-25T15:06:00-07:00",
+          "2010-02-25T15:07:00-07:00",
+          "2010-02-25T15:08:00-07:00",
+          "2010-02-25T15:09:00-07:00",
+          "2010-02-25T15:10:00-07:00",
+          "2010-02-25T15:11:00-07:00",
+          "2010-02-25T15:12:00-07:00",
+          "2010-02-25T15:13:00-07:00",
+          "2010-02-25T15:14:00-07:00",
+          "2010-02-25T15:15:00-07:00",
+          "2010-02-25T15:16:00-07:00",
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+          "2010-02-25T15:18:00-07:00",
+          "2010-02-25T15:19:00-07:00",
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+          "2010-02-25T15:21:00-07:00",
+          "2010-02-25T15:22:00-07:00",
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+          "2010-02-25T15:24:00-07:00",
+          "2010-02-25T15:25:00-07:00",
+          "2010-02-25T15:26:00-07:00",
+          "2010-02-25T15:27:00-07:00",
+          "2010-02-25T15:28:00-07:00",
+          "2010-02-25T15:29:00-07:00",
+          "2010-02-25T15:30:00-07:00",
+          "2010-02-25T15:31:00-07:00",
+          "2010-02-25T15:32:00-07:00",
+          "2010-02-25T15:33:00-07:00",
+          "2010-02-25T15:34:00-07:00",
+          "2010-02-25T15:35:00-07:00",
+          "2010-02-25T15:36:00-07:00",
+          "2010-02-25T15:37:00-07:00",
+          "2010-02-25T15:38:00-07:00",
+          "2010-02-25T15:39:00-07:00",
+          "2010-02-25T15:40:00-07:00",
+          "2010-02-25T15:41:00-07:00",
+          "2010-02-25T15:42:00-07:00",
+          "2010-02-25T15:43:00-07:00",
+          "2010-02-25T15:44:00-07:00",
+          "2010-02-25T15:45:00-07:00",
+          "2010-02-25T15:46:00-07:00",
+          "2010-02-25T15:47:00-07:00",
+          "2010-02-25T15:48:00-07:00",
+          "2010-02-25T15:49:00-07:00",
+          "2010-02-25T15:50:00-07:00",
+          "2010-02-25T15:51:00-07:00",
+          "2010-02-25T15:52:00-07:00",
+          "2010-02-25T15:53:00-07:00",
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+          "2010-02-25T15:55:00-07:00",
+          "2010-02-25T15:56:00-07:00",
+          "2010-02-25T15:57:00-07:00",
+          "2010-02-25T15:58:00-07:00",
+          "2010-02-25T15:59:00-07:00",
+          "2010-02-25T16:00:00-07:00",
+          "2010-02-25T16:01:00-07:00",
+          "2010-02-25T16:02:00-07:00",
+          "2010-02-25T16:03:00-07:00",
+          "2010-02-25T16:04:00-07:00",
+          "2010-02-25T16:05:00-07:00",
+          "2010-02-25T16:06:00-07:00",
+          "2010-02-25T16:07:00-07:00",
+          "2010-02-25T16:08:00-07:00",
+          "2010-02-25T16:09:00-07:00",
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+          "2010-02-25T16:11:00-07:00",
+          "2010-02-25T16:12:00-07:00",
+          "2010-02-25T16:13:00-07:00",
+          "2010-02-25T16:14:00-07:00",
+          "2010-02-25T16:15:00-07:00",
+          "2010-02-25T16:16:00-07:00",
+          "2010-02-25T16:17:00-07:00",
+          "2010-02-25T16:18:00-07:00",
+          "2010-02-25T16:19:00-07:00",
+          "2010-02-25T16:20:00-07:00",
+          "2010-02-25T16:21:00-07:00",
+          "2010-02-25T16:22:00-07:00",
+          "2010-02-25T16:23:00-07:00",
+          "2010-02-25T16:24:00-07:00",
+          "2010-02-25T16:25:00-07:00",
+          "2010-02-25T16:26:00-07:00",
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+          "2010-02-25T16:28:00-07:00",
+          "2010-02-25T16:29:00-07:00",
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+          "2010-02-25T16:31:00-07:00",
+          "2010-02-25T16:32:00-07:00",
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+          "2010-02-25T16:34:00-07:00",
+          "2010-02-25T16:35:00-07:00",
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+          "2010-02-25T16:37:00-07:00",
+          "2010-02-25T16:38:00-07:00",
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+          "2010-02-25T16:40:00-07:00",
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+          "2010-02-25T16:43:00-07:00",
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+          "2010-02-25T16:49:00-07:00",
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+          "2010-02-25T16:52:00-07:00",
+          "2010-02-25T16:53:00-07:00",
+          "2010-02-25T16:54:00-07:00",
+          "2010-02-25T16:55:00-07:00",
+          "2010-02-25T16:56:00-07:00",
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+            "type": "heatmap"
+           }
+          ],
+          "heatmapgl": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
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+            "colorscale": [
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+              "#fdca26"
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+              "#f0f921"
+             ]
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+            "type": "heatmapgl"
+           }
+          ],
+          "histogram": [
+           {
+            "marker": {
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "histogram"
+           }
+          ],
+          "histogram2d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
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+             [
+              0.1111111111111111,
+              "#46039f"
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+              "#7201a8"
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+             [
+              0.3333333333333333,
+              "#9c179e"
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+              "#bd3786"
+             ],
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+              0.5555555555555556,
+              "#d8576b"
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+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2d"
+           }
+          ],
+          "histogram2dcontour": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2dcontour"
+           }
+          ],
+          "mesh3d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "mesh3d"
+           }
+          ],
+          "parcoords": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "parcoords"
+           }
+          ],
+          "pie": [
+           {
+            "automargin": true,
+            "type": "pie"
+           }
+          ],
+          "scatter": [
+           {
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
+            },
+            "type": "scatter"
+           }
+          ],
+          "scatter3d": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatter3d"
+           }
+          ],
+          "scattercarpet": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattercarpet"
+           }
+          ],
+          "scattergeo": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergeo"
+           }
+          ],
+          "scattergl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergl"
+           }
+          ],
+          "scattermapbox": [
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+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattermapbox"
+           }
+          ],
+          "scatterpolar": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolar"
+           }
+          ],
+          "scatterpolargl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolargl"
+           }
+          ],
+          "scatterternary": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterternary"
+           }
+          ],
+          "surface": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "surface"
+           }
+          ],
+          "table": [
+           {
+            "cells": {
+             "fill": {
+              "color": "#EBF0F8"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "header": {
+             "fill": {
+              "color": "#C8D4E3"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "type": "table"
+           }
+          ]
+         },
+         "layout": {
+          "annotationdefaults": {
+           "arrowcolor": "#2a3f5f",
+           "arrowhead": 0,
+           "arrowwidth": 1
+          },
+          "autotypenumbers": "strict",
+          "coloraxis": {
+           "colorbar": {
+            "outlinewidth": 0,
+            "ticks": ""
+           }
+          },
+          "colorscale": {
+           "diverging": [
+            [
+             0,
+             "#8e0152"
+            ],
+            [
+             0.1,
+             "#c51b7d"
+            ],
+            [
+             0.2,
+             "#de77ae"
+            ],
+            [
+             0.3,
+             "#f1b6da"
+            ],
+            [
+             0.4,
+             "#fde0ef"
+            ],
+            [
+             0.5,
+             "#f7f7f7"
+            ],
+            [
+             0.6,
+             "#e6f5d0"
+            ],
+            [
+             0.7,
+             "#b8e186"
+            ],
+            [
+             0.8,
+             "#7fbc41"
+            ],
+            [
+             0.9,
+             "#4d9221"
+            ],
+            [
+             1,
+             "#276419"
+            ]
+           ],
+           "sequential": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ],
+           "sequentialminus": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ]
+          },
+          "colorway": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#FF6692",
+           "#B6E880",
+           "#FF97FF",
+           "#FECB52"
+          ],
+          "font": {
+           "color": "#2a3f5f"
+          },
+          "geo": {
+           "bgcolor": "white",
+           "lakecolor": "white",
+           "landcolor": "#E5ECF6",
+           "showlakes": true,
+           "showland": true,
+           "subunitcolor": "white"
+          },
+          "hoverlabel": {
+           "align": "left"
+          },
+          "hovermode": "closest",
+          "mapbox": {
+           "style": "light"
+          },
+          "paper_bgcolor": "white",
+          "plot_bgcolor": "#E5ECF6",
+          "polar": {
+           "angularaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "xaxis": {
+         "anchor": "y",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "datetime"
+         }
+        },
+        "yaxis": {
+         "anchor": "x",
+         "domain": [
+          0,
+          1
+         ],
+         "title": {
+          "text": "ac_power"
+         }
+        }
+       }
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# NBVAL_IGNORE_OUTPUT\n",
+    "rdtools.tune_filter_plot(example_subset['ac_power'], clip_mask_logic)"
    ]
   },
   {
@@ -282,12 +93045,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -297,32 +93060,57 @@
     }
    ],
    "source": [
-    "daily = rdtools.aggregation_insol(filtered.normalized, filtered.insolation, frequency = 'D')\n",
+    "daily = rdtools.aggregation_insol(filtered.normalized, filtered.insolation,\n",
+    "                                  frequency = 'D')\n",
     "\n",
     "fig, ax = plt.subplots()\n",
     "ax.plot(daily.index, daily, 'o', alpha = 0.1)\n",
     "ax.set_ylim(0,2)\n",
     "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('Normalized energy');"
+    "ax.set_ylabel('Normalized energy')\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 4: Degradation calculation\n",
+    "## 4: Post-aggregation filter\n",
     "\n",
-    "Data is then analyzed to estimate the degradation rate representing the PV system behavior. The results are visualized and statistics are reported, including the 68.2% confidence interval, and the P95 exceedence value."
+    "RdTools 3 introduces the step of post aggregation filtering to further reduce the influence of anomolous data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 13,
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "two_way_mask = rdtools.two_way_window_filter(daily)\n",
+    "daily_filtered = daily[two_way_mask].resample('D').asfreq()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 5: Degradation calculation\n",
+    "\n",
+    "Data is then analyzed to estimate the degradation rate representing the PV system behavior. The results are visualized and statistics are reported, including the 68.2% confidence interval, and the P95 exceedance value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "tags": [
+     "nbsphinx-thumbnail"
+    ]
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -333,42 +93121,64 @@
    ],
    "source": [
     "# Calculate the degradation rate using the YoY method\n",
-    "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily, confidence_level=68.2)\n",
-    "# Note the default confidence_level of 68.2 is approrpriate if you would like to \n",
+    "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily_filtered, confidence_level=68.2)\n",
+    "# Note the default confidence_level of 68.2 is appropriate if you would like to\n",
     "# report a confidence interval analogous to the standard deviation of a normal\n",
     "# distribution. The size of the confidence interval is adjustable by setting the\n",
     "# confidence_level variable.\n",
     "\n",
     "# Visualize the results\n",
     "\n",
-    "degradation_fig = rdtools.degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, daily,\n",
-    "                                                    summary_title='Sensor-based degradation results',\n",
-    "                                                    scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "                                                    hist_xmin=-30, hist_xmax=45)"
+    "degradation_fig = rdtools.degradation_summary_plots(\n",
+    "    yoy_rd, yoy_ci, yoy_info, daily_filtered,\n",
+    "    summary_title='Sensor-based degradation results',\n",
+    "    scatter_ymin=0.5, scatter_ymax=1.1,\n",
+    "    hist_xmin=-30, hist_xmax=45, bins=100\n",
+    ")\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In addition to the confidence interval, the year-on-year method yields an exceedence value (e.g. P95), the degradation rate that was exceeded (slower degradation) with a given probability level. The probability level is set via the `exceedence_prob` keyword in `degradation_year_on_year`."
+    "In addition to the confidence interval, the year-on-year method yields an exceedance value (e.g. P95), the degradation rate that was exceeded (slower degradation) with a given probability level. The probability level is set via the `exceedance_prob` keyword in `degradation_year_on_year`."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The P95 exceedance level is -0.59%/yr\n"
+      "The P95 exceedance level is -0.73%/yr\n"
      ]
     }
    ],
    "source": [
-    "print('The P95 exceedance level is %.2f%%/yr' % yoy_info['exceedance_level'])"
+    "print(f\"The P95 exceedance level is {yoy_info['exceedance_level']:.2f}%/yr\" )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-0.501\n",
+      "[-0.611 -0.322]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(np.round(yoy_rd, 3))\n",
+    "print(np.round(yoy_ci, 3))"
    ]
   },
   {
@@ -377,24 +93187,24 @@
    "source": [
     "## 5: Soiling calculations  \n",
     "\n",
-    "This section illustrates how the aggreagated data can be used to estimate soiling losses using the stochastic rate and recovery (SRR) method.<sup>1</sup>\n",
+    "This section illustrates how the aggregated data can be used to estimate soiling losses using the stochastic rate and recovery (SRR) method.¹ Since our example system doesn't experience much soiling, we apply an artificially generated soiling signal, just for the sake of example.\n",
     "\n",
-    "<sup>1</sup>M. G. Deceglie, L. Micheli and M. Muller, \"Quantifying Soiling Loss Directly From PV Yield,\" IEEE Journal of Photovoltaics, vol. 8, no. 2, pp. 547-551, March 2018. doi: 10.1109/JPHOTOV.2017.2784682"
+    "¹ M. G. Deceglie, L. Micheli and M. Muller, \"Quantifying Soiling Loss Directly From PV Yield,\" IEEE Journal of Photovoltaics, vol. 8, no. 2, pp. 547-551, March 2018. doi: 10.1109/JPHOTOV.2017.2784682"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:14: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n",
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:366: UserWarning: 20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
-      "  warnings.warn('20% or more of the daily data is assigned to invalid soiling '\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:27: UserWarning:\n",
+      "\n",
+      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "\n"
      ]
     }
    ],
@@ -402,63 +93212,69 @@
     "# Calculate the daily insolation, required for the SRR calculation\n",
     "daily_insolation = filtered['insolation'].resample('D').sum()\n",
     "\n",
+    "# Ensure filtered dataset still has daily frequency\n",
+    "daily_filtered = daily_filtered.resample('D', origin=\"start_day\").asfreq()\n",
+    "\n",
     "# Perform the SRR calculation\n",
     "from rdtools.soiling import soiling_srr\n",
     "cl = 68.2\n",
-    "sr, sr_ci, soiling_info = soiling_srr(daily, daily_insolation, confidence_level=cl)"
+    "sr, sr_ci, soiling_info = soiling_srr(daily_filtered, daily_insolation,\n",
+    "                                      confidence_level=cl)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The P50 insolation-weighted soiling ratio is 0.975\n"
+      "The P50 insolation-weighted soiling ratio is 0.953\n"
      ]
     }
    ],
    "source": [
-    "print('The P50 insolation-weighted soiling ratio is %0.3f'%sr)"
+    "print(f'The P50 insolation-weighted soiling ratio is {sr:.3f}')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The 68.2 confidence interval for the insolation-weighted soiling ratio is 0.972–0.978\n"
+      "The 68.2% confidence interval for the insolation-weighted soiling ratio is 0.949–0.956\n"
      ]
     }
    ],
    "source": [
-    "print('The %0.1f confidence interval for the insolation-weighted'\n",
-    "      ' soiling ratio is %0.3f–%0.3f'%(cl, sr_ci[0], sr_ci[1]))"
+    "print(f'The {cl}% confidence interval for the insolation-weighted'\n",
+    "      f' soiling ratio is {sr_ci[0]:.3f}–{sr_ci[1]:.3f}')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:165: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:173: UserWarning:\n",
+      "\n",
+      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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vfz/vfve7AfjIRz4CwKpVq3j44YfZunXr8rVyFiMjI0QiEVatWoWiKGftdywsSjnTpHUhTLwFFppfdyFd09nklbgYuRCpOnH4uuuu4+jRo+zdu5eenh50XWfVqlV0d3cvqWzT17/+dcLhMMPDwwA89NBDDA4OAvDnf/7n+P1+7rzzTr73ve/R29tLV1dX8dhPf/rTABw8eBCA73//+zz99NMA/M3f/E3VbbKwgFfWpHWhaAznS+K6JbjPD6oqfns26erqoq+vr+JnBQF1++23VxRYpxOUi7lMq/jt0nk5J5rzZVK7kLhQ+ux8KtBqcfZY6Jx73gms8wFLYC2dl3OisSa1Vy4XimC1WBpntVq7hcWZOJP5bDknoleSqe5ccy4FRKXftkxxFqVUXUvQwuJ0nCnU9pUYAv5K4FzeF2tMWJwJS2C9yjlXya7LmXtjTXTLR6X78nKNESsfy+JMWD6sCryafFivBP9PwZTkc8hE06rl72B5TXuvhDFicX6z0DnX0rBeYSx2NXw+rGqXuoIvmB+jafVl0bQuhBJMy6l1ng9jxMICFhh0IYpiVblVmqYt+hiLpbHY/JrzwaldTU5QJQ3i5Qq+uBBymJazL86HMWJhAQsUWH/7t387R2A9+OCDHDx4kBtuuIF169YBcOTIER599FE2b97MLbfcsuyNfTWzUBPPhRgxV02bKwmNl2tivRD62BIyFq9EFiSw7rrrrrLX//Iv/8L4+DgHDhwoCqsChw8f5rrrrqOlpWXZGnmhcTZCgxe6ql/uiep017Jc11lNm8+l0LCEwdnFyr2ymI+qfFhf/OIX+eAHPzhHWAFs2LCBD37wg3zhC19YcuMuVM5G1Npi/AjL6WOpdC2F8z+0b3hB13k2fD6vpgrVFzqLvf9W1KfFfFQlsAYHB09bdFZRlGL9v1cjPofM0dEoPsfy5WUvZoI+2w73wvmBBQlRawJ6dbPY+28FeVjMR1Vh7ZdccgmTk5M8/fTTtLa2ln02ODjIlVdeSUNDA88///yyNfTlZKlh7YUw4GRWpSXgfNlNG2fbpLLQ888Xbm6ZfF5dWPfb4kyc1dJM//RP/8QNN9zA2rVrectb3sLq1asB6Onp4Sc/+QmGYfDv//7v1bX8FUDBv5LMquckmqzwW4UV7XL/9kJ9OKWaWGn+zkP7hjk2Fmc4nLImsAuA2QJnsQLI8vlZLBdVCawrr7ySnTt38slPfpIHH3yQVCoFgNPp5IYbbuDuu+9my5Yty9rQC4nCA1r6YC+WalalpcecD6HXpw+MsPLVzxbLrdHMHkvnw9g6F1ia4rmnaifL5s2befDBB9F1nYmJCQDq6+sRRSsXucBSVpbVTAqlx5wPodfzXf9N21rmtM2aDJaPxYydhfT77LF0Poytc8GrVVCfTyw5KkAURRwOBx6PxxJWy0g1k8LZmEiWIkhm+7BK/z+bpUwGP94zwP17Bmn0OXjPlfMHppxPQvFstmUx42Ah/b61LUDPWIx7Hj/O9RsbeWt3e9GCcO9vepf1Gs6nezSbV6ugPp+oWsLs3r2bG2+8EZfLRTAY5Ne//jUAk5OTvPnNb+aJJ55Yrja+olhoiO/sqMAf7xngT7+/mx/vGVjQMcsVmbeU8xSOfezQWPH/R0djfPupXo6OxsrOuZTIsMcOjTEcTvPSUOS07Tzb0YqLCd8+m21ZTETpQvv9sUNjTOfvYYGzcQ2LOefLXSLrfE2luBBKhS0XVQmsZ555hiuvvJKenh7e+c53out68bO6ujoikQjf+ta3lq2RrySqfcgrTRgwvyBbrtDgpZyncOz1GxuL/w8ns3TUuggns2XnXMpkcP3GRnxOGZdNOm0qwdkOl17MvT2bbVnMBLbQfl/f5CWSyrG+yVs8v88hL/s1LKZfXs50ifNZKBT64aF9w4tu4/l8XZWoyiT413/912zYsIHnnnuOWCzGd77znbLPr732Wr73ve8tSwNfaZzOrPDjPQM8dmiM6zc2sqbRy0P7hgHT53P9xkYeOzTG+iYv9/6ml0gyy5HRGEPhFC6bzGOHxnhrdzuwvGaV+fxQC/mNSseuafQuu8nnrd3txcK30bQ67/fORrRaaT8s1GR0ts1eZ8PX4nfZ2N4e4MhojERWw2Uzp47lrt6+mHv0cprozmf/1VKikue7rvnG6Lk22VYlsHbt2sXnPvc57HY78Xh8zuetra2Mjo4uuXGvRE73QJZqUUdGYzz80kixhuMn3rSRNY1e7nn8OAGXjb0DYfxOM3m7Jq+9gDmgCt8p/N7ZoNoHeCETUjUPxbnyL5T2w5k0lf2DYR7aN8yBoQidQTdwdu7PcvfF/sEww+EUfaEEnUE3E7EM6VyyuHg6V5PXyxkufz77r5YSlTzfdc33fJ9rwV2VwFIUpcwMOJuhoSE8Hk/VjXq1UtCirt/YyJHRGIIAlOR17+mbJuCyEU5muXGT+Z3bLm4ralazv3M2H67FPMCLFUClJo7T1TEs1UDPFWfqh9mpBnv6phmLpgH4/cs6zkqbTjeRV7MY2NM3jcsm0+hzEE5mcSgS65p8HBmNsq7J97JOXgtp/9nSAobDKfYNhKn32rlpW8t5p2lVI8DnO2a+cX2uBXdVAuvyyy/n/vvv5y/+4i/mfJZIJLj33nu55pprltq2C5ZqH5g1jV7+Z98w//yr41yxspaLO2sZi6ZZ3+QFzMEyHE6RzmkkshofuHb1nPMXBpLPIZ+1xOHCOQvnPdP1FgTQd5/uJZ3TipFm87EQE8eevmmOjcUBgz190+wbCPPSUIR9A2G+8o4dy3ehZ+BMk0Sp8AXIaTqNPgebW/3nZMKrZoU8cz/suGwyyaxa9EkWKpi8XFRq/+zxdza0gMJ4G5xO0lbjPC9Mg0sVzKc7fr5xfa6TwKsSWHfffTfXXHMNb3rTm/i93/s9APbt28fJkyf50pe+xMTEBJ/85CeXtaEXEtU+MA/tG2bXqWl03eCXRyZ4zaogNlnkyGgMoPgwPnlsgsePpHnuZIjPvGVL8Td9DpkjozEmYhnGoumzanZaTJJy4TvP96bRDbh/zyBP9UwyFk3ztu62OcJrISaOgvAu/PvRg6OomlHUXma3cTn7YDE7HJcKX5dNZlW9h3ROKy5CXm6qWSHPvh+v39BwXiWj7+mb5uhojJ0nQ3zg2tVnRQsojLcal0K9135emAaXKpjPtXmvGqoSWJdddhkPP/ww73//+3n3u98NwEc+8hEAVq1axcMPP8zWrVuXr5UXGNU+MBOxDDZJIKXrrKhz8dJQpFjaCGZ8CdF0Dt0wmE5ki1pUOJlj58kQqZzO4HQSv1M+a2bB2X6y+a63YLabiGWo99q5bEUtR0ZjpHIajx8ZR8+bO+fTtk63mpv92WUrannk4BiXragtvne6B7I0wOV02l4lCufdeTK0YJPY+iYv0bRa1FJOFxxSoFqBW83K+Wy1ZanMNv1Wan93Zw07T4YIuGwL8iWe7rdKx3Hp9Z5rzaISSxXM59q8Vw1VJw5fd911HD16lL1799LT04Ou66xatYru7u6qdid+JVG6Il2oU3r/YJixaBq/U0ESBZJZc7dmj10iq+pFIaEbUOexF6O09g2EuWpNHWBOir88Mk46Zx7bUSudleub7Seb72F+aN8wvzoyTkbVWVXv5nXrGvjmuy7mL370IqpuIAjQ6HMsuT37B8McGY2xvT2A32UrCqP1TV4CLlvFB/KxQ2MMTKf49lO9rGn0LmoyKjzoCzGJFYQbmBF1X3nsKI8cHOXGTY1n/J1qV8CzNY6lTLSFSXw4nCKWVpflnIthtul3PjNVwf+7lB0SZofJn+/ax1KF6PkohM/EkitdbN++ne3bty9DU155LGbC2dM3TWfQzZHRGKqmM53IcnFXbdHns6dvmulkjv2DYRq8dmRJZDKW4ZkTk9R77XziTRu59ze9KJJIOqcjCAKHRyJ87P79/PFVKxakRSx0Fe1zyBwcjgDQMxYr+26p5gIgi5DUdWpcNnwOmc/89BAnJuK01Tipddt4z5VLD4ueLUA/9/BhhsNpIqkcP3zfFRUXDtdvbOTbT/XSUbt4f8RSQq+PjMaQRIEH9w6TyGqndd5XuwKerXFUm5YA8N2ne3lpKEJbjROnIqEbcM/jx182oTXb9FuJ/YNhHjs0RsBlW5DmerrfqqRhWZw/VCWwRFGksbGR//zP/+Tqq6+e8/kPfvAD3v3ud6Np2pIbeCFS6uMYDqdIZlX2D4ZP+4AXHoyRSIpDw1Fi6Ry7Tk3hUCQcisRVa+qIpHK4bBLhZI6crpPTDLSSKMLuzhoeeGEQSQDDMJiIZQm4lLIcrdOxUAFrmrY0VE2fc+7S0PwPXLuagakkAZeNdU1enuqZ5KmeSTx2iQ3NvuKkt1Rzk89hmj8LQjKeUdEMA5sscu9vehnO56qVXteaRm9RMz2bk1Lh9wqr9vVNXl7oDyMK8Ksj42XfqXTsYvuj0Jfrm7wcGY3Nq3HM1ibm88mNRdOomk5W1bl5WwvffqoXv1Mulmk6kw9vqSykDwoLlr5QAq9DPuOzttDfOhvpFxZLo+rSTOl0mt/6rd/iq1/96nK25xVBYTKIps39sAqT5UK4eVsLTX4HGc1gPJZhOJzipaEI0bTKH1+1grWNXjqCLuo9DlyKxIo6dzGse2tbgMtXBtnQ4qej1sXFXbXYZKk4kVeiNNN9oVUGujtraKtxIgjCnOCB6zc2UuNSWN/kLZrN1jV56e6sYSyaRpEEBEEoW6HPnjwrte107S9dXe/pm2ZTi5/NLT7WNnp55MAo9+8ZZO/AXEe9yybTEnCe9cmmYKK75/HjJLIa161vQBAgo+pMxDLL+lsP7RvmoX1D/GTv8Gk1jtJ7Xej/Qgmt0vvwtu42WgJOGn2Ootl1NJphPJbh/j2DL/vGnLPHRMGv63XIbG71L+pZWyrzjdsLhUp9eb5XvajaJPiVr3yF559/ng9/+MPs3r2bb3/72zgcS/dHvBI4k2mh0sqs1NfhsctIAmQ1gxqXwpZWPz6HzFM9k8QzKllVI57J4XGYUWc9Y7Hi+QqV0Aur5Q9ed3rTTelDt1Bn9da2AK9b10A4mcPvMpOXS/1Gl60MMhxOYZArmnOGwykuW1GL3zmT5Fww05X212K3SJltDuwZi9EXSpBRNYbyya6iIHB4JDbnHj20b3hB2u+ZONNKu9xEN8XgdJoal4zbrnBiIs5nfnqoGJSxHKv1SErFLouEk1l8DrnMHFra1tIqFaU+udJj3trdzpHRWN6PBNvaA6RzGtPJLLF0jp8v0B9XiWpzwkrHRCFXzy6L+aCe6GkXaMvJyx20UKm/lqLlze7LCyFqsGqBpSgK//f//l8uu+wy3v/+93Po0CEefPBBOjrOTjLkhUQlM0ZhFVZ4yI6NxYobGBZWiQAdteZq1i5LNPocrG308pV37OAzPz3EUz2TZFUNzQC7LBLPqOw6NcXegTCX54XEYnc4rvah8zlkHj04SqPPUdRyppM5Hjk4xg2bmgAIuBT2DkxzYChKncfGOy7t4JvvuhiY2ZV5tqAsff900YeF9wufFYTVt5/qxTAMJuNZPHaJeq+DqUQWpyLy0L7hsn45MBQho+rF+1ItZ3rQt7YF+MC1q9nTN81zJ0MokkAkrSIIIqmsyq+OjBerXyw1qKGgbRciM4+MxsrMoZXaOnu8lt4DgOdOhoo+1Tteu6LY/w+8MEgqq7Gzd6qqthb8Y/sGwrznyhULmngrjYlIKoffqXBkNMa6Jl9FrXKp+8udDzlJle7dUoTM7IViYQ56/YaGBR1/LkyiSw66ePe7383WrVt561vfSnd3Nz/60Y+Wo10XPKXBB4U6d4UJoHSihBnzVDKrFs1bV6+tL+br3PubXiZiGTx2iWlVo96jEM9o6DoksyqKJBWDIBRJZN9AmG3tgQUNpGofumhaJaPqvDQU4aF9w1y/sTG/xYedZFYtBhM8enAURRLIqHrZJONzyOw8GWJ9k5fP/PQQYE62pQ/RfG0rPKQP7RumJeAsJkk/enAUSRSIZzQ6g05OjMeRJYkVdS68DmXOOTKqTiSVm3P+xbIQoV+4jieOjtMXStLoVhgOpxiPZXHbJdpqnIST2SUHNRT6rCB0Ckm+pYJ9vraWasnJrEYyqzIcTqFIInZFot5rL/uNQrJ2tZGeJybijEfT7Myq1Hvtc/yMp7u+AgUBfWzMrKvpUCRev2FuIE81E/tyahzLMblXundL0fJK+/Le3/TispnFjM9F/yyUJQssMCMF9+zZw+///u9z4403ctVVVy3HaS9oZgcflGoMnUE34WS2+LAVzFMHhiLoBpwKJblxUyN+l61oWqv32tnQ7Cuav1I5nVOTMcZjWeyyRCytYhgG8YxGJJVjOpk9q1vQF5J1/U6FiViGY2MxDg5HqHHZWFsSJv627jbu3zOITRb57tO9xbI20bRaLO+TyukUwpYXYpYs7a/9gxF6JxNsb/fT6HMQz8TxOWQ6at2cmEiQyKiMRNLctK11zoO+byBcVklkocyefBYq9Pf0TbO9vYbXrWtgOJzi4HAfGJDTDNY2elnf5F105OJ8E2FhQTA7z2x2W0uPL4zZI6Mx2mtdHBuLU1Mi7G7a1lL2/VKtqFK+1JlYVe9hOJzGl19MlArWMxVfLQ0QuWlbCx+7fz+SKJDOafOaZRc6sZf+RuHYxXA6k/9SJvdK42y5tLzS8VJgIabulzuSclkEFkAgEOCnP/0pd911F5/+9KeX67QXLAWNI5XTeGjf8JyHuHCTC76CloCTWFpl70C4WBV7XZMPMB/k129ooGcsVpz8a1w2+gSRZr+T6WQWv1NhNJJGNQxGIxoZ1QwlXyqnG7SNPkexssSBoSjpnM5EPMtELFPmA4mmVZ44OsFLQxH8TpmBqWTxwSjUTSztk0ptKE1AXt/k5cBQhOFwiuFwClEUeGkowrfedTGfe/gwvZMJJuMZ7LJIKquh6QbD4dScybDea6cz6F5wKPRii9eWTuLrm7xlZt9hoN5rYzqZI+BUODYW43/3D2OTRGKLKHdkmpfjcxYn0bRKwGXjsUNjFfPMCn2wbyDMdNL0Na5v8vLg3mFymun/UySRtY0ePvGmjcXjZptsC/dgIpZh16mpYg7mQibR91y5gnqvvRh4Uupnm13AudCXpklVxC6LXLoiWLRadNS66J8qL8gLc5N/F9Ons6+9tN9OpylVEk7na5JuoV9/dWScTE4jldOKC4GFmLpfbl9XVQKrt7eX+vr6Oe8LgsDdd9/N29/+dkKhUFUNisfjfPGLX2Tnzp08//zzTE9Pc++993L77bcv6PhwOMzHPvYxHnzwQZLJJJdeein/+I//yEUXXVRVe6plTaMXv1NhPK99lIYPFwZ74eH/7tO9jEXTNPocxaK265u8+POCqnSVZpMlwGBbe4Cr1tTx2KExUvlE4Wg6Rzqnk1N17LIZALrUatrzDdo9fWZemE0W6Z9KkMqqKLLIxfkH8omj42UBFzUuhRqXn7GoWZ6p1Fw6W5iXrnCPjMaKJtRIKkdbjZOBqSRTiSwT8SyiICAKAnUe01wVz6jEMipum4QiiciSSDyt8sALQ0zEMnzlHTuKUXsFM+qqes+CAi/29JlJrBlVW1AVkcL3wWBgKoluQP9Ukj19U0RSKg1eO5tb/DgUiZeGIsTTKqIg0BJwnvG+FPrInOyNOZ+VVlevNOEU7utYNI0tP1b8LhtdQXexUkphDBX6Zv9guKiVvq27rez6sqqZ+1darPlMlJovC1GUBWvE7ALOhd8ajZjjpzPo5Gg+wGJNo6khf/C61XMi96pPoK58HQvRlGYLp7Pp65l97sUGZpT3q4E2FmN7+0z7lyswabmoKqy9s7MTl8s17+ebN2+uuvjt5OQkn/rUpzh8+DDbtm1b1LG6rvOmN72J//iP/+CDH/wgX/jCFxgfH+d1r3sdPT09VbWnWh7aN8x4LE1O01nb6J2zYoGZ0OLCJJ7OafhdNtY1+fC7bHPMY92dNaxt9FCTNxWuafTygWtXszb/wLps5iaGjX4HbTVOxqLpOTv7LhafQ+boaHROPk+hLWsbvUwlctS4bXgdMk5Fon8qweC0ueou+OfqvXa2tQd4W3cbokBx9V8pLLjQT48dGisKiEjK9MeAqZXVus1EZFk0J/jbX9PFnr5pmv1ObJKIU5GIpXM4FRFNN1AkgRMT8eJeYk8cG6d3MsFYNM10MrugPipcc3dnbcUJcHZYcHdnDTUuhayqs77Jy9GxGOFklqMjMaYSWUYiaQIuW77CiVwUHFOJLA/tGz5tmHFB6I5F06xt9JZVrC/0eaPPQV8owb6B8JxzFMbe27rbeN26BtY3edk3EGZwOkk6pxFJqYzHMjx5bILPPXyYH+8Z4HMPH2Z33vdXiCbMqho1Lhtv627jtzc38dtbmhddPb+7s4ZwMltMdO7urMHrkGmvdRX7tdA2s9KLDbssEXDZuH/PIA/tGy5OxqXh+t2dNRwcjnBgKMJ3n+5dcHtu2tbC69Y1VLyOhaR+bG0r3xRz9nO/nDy0b5gnjo4XNflKvzXf75f2qywJOBSx6EsvFW7HxmLF859rFqRhfepTn0IQBD7xiU8giiKf+tSnzniMIAhVFcBtbm5mZGSEpqYmdu/ezSWXXLLgY++//36eeeYZ/uu//ou3ve1tANx2222sXbuWv/u7v+M//uM/Ft2epeB12Fjb6OGmbS1FkxZAMmsvW7GU+lJKV7Dz2evvefw4sbTKQ/uGi4m5Y9EMdR47kVSOGzY1cXQ0SrPfueR6ggVfU6nZrNCugmbktkk8uHeYdFrlpcEIU/ldhQtFQvf0zVReHw6nihPRJV01ZaWNZidcF5Km1zZ68v49O1lV58hojEafg5FImqDHTnuNk7d2t7N/MMwDLwyiSCJZTae91s1wOEWT305WM0hmNY6OmkJDFkUEQBKF4oLiTJzJBDI7+nNrW4Bt7YFi+H9X0MWBoShuh4zXodBW48yH4OvYZYnNrQEOj0QYjaTLIgcLv11KwYdYKcqx4I9wKFJZYEzpdypFBk7n0yocikQ6pxFPqyAIuO3mBqEZVccwDOyyWLyvl64IEnApi67HCOUr/1I/7+xoRqDYts6gkwavo2hyH5hOMZXIcmAowuZWPzdtaykL1/fYZaIptawo8pk43X1eiBlstj/v7JsDZ0rhVfqtSv4pMMfrS3nrRZPPznRSpc5jY2AqWbyO2QFi55oFCay77roLQRD4+Mc/js1m46677jrjMdUKLLvdTlNT06KPA1NgNTY2cuuttxbfq6+v57bbbuPf//3fyWQy2O32qs69GAqr2Zp8jlLBJg4GTkWaE2bcGXSzrT0AwPRAhIyqcf+eQYBigEahyKoZWZYhksrR6HMwHjNLEBVMiVesrMU/a+uHpajylR6A2X6Tv7h+HadCSZ44Os5oLEuty4YgCGXFSguTU6FqecClFHcfLvRZwW+xrslbTLgOuBTueO0KfrxngPueOcVkPMNUIkuT30GtW2FwOk1rwFHcsj2WVhEFEAWBiVgGUYCJeA6PXSoWBL5+YyMORWIsmjZzw87g61tMdfbC5DHb7yZg0BdKUuexsaHZV4zi/O7TvcWKJlta/XgdChnVzHGaXcB4tmlnc6ufY2OxOS0oFBhO5TSmEtmiae9011LQltpqTHPksbEYAZeCz2lqE4XKGYXrmW9sLIZSoVTJmlA4d89YrNi2GpeNeq+dNY1ebLJILJUjldVw2+Wi6b30PG/rbisrFfZyUGoqXWggUbUU8i5Pdw9K/ZmF14Xv+50yOc3AY5fpDHron0qyos5TfC5nB4gVqCbIZjlYkMCavVnj6TZvPJe8+OKLXHTRRYhiuaXz0ksv5V/+5V84duwYW7ZsObuNuKuVWuJcA/yL99+Z9teBKJJVzX2QrlpTRzSe5uJADCZ7uMwb46VohOh4lnX7bsNDPQ80/xtaZBqPOkXYuZ71TV4Gew7TuW0tw4DXIbO20ctELMP4RIQaI0HCiPFB39NsvvIjINt56YUXODTQDx1vgEwK7E5Qc6AvptaawdbvdLKVS+CuX5hvaSrrdr2Zqxjnf+w/575fH2HN4+9jPQbPq3cg4yBgOPizDRpbc0fhpOlf2wrIUpSfDIwgjD6Lb/3VPBS+qKiRAIzH0gzlqxaU7gEGZkX3+/cMMhHLEE3nuHptPQeGIqyoc9M/leIS8Tke01axttFL/1SSnKaj6SqRtIrHISOJAt2dtcWHa40rzZ5xD/tG4kwPRE4bUVmYWB89OIpNlsq/GxmGvUc5+Os7Seq/jdB4JZv8Lo49/zi5kwO8J/5J9rCRB4JfIBTfzWeE77Oq5s/YtPUtMHmclYlDHJDb8DnNbSsavHZUTUfNZenWernp4qsrR5o9+je8pf+H/IiPkFPXsP+AztauJtB0fmfXFYwD3/f+gMtXdpRNOIVz9D92A29nDBDYv+LveSK3mdXJPuwkqfM52FqjkU7nuHhFkP6xo4i7vsyNDPHIJc8WF1x3bJTZekkr2GyL89PoOmQTXNwksXcgzrZmJ6RnCd5sDCkX56n90zx2eAxJhKQu0GD34hNh7/EBEtEwbtLcoX2WwPgKjl3yt3Mm7rd2t5va308/C4/XwBV3wNA+aN0GDgfc5c9/UwI2wSefgL83K/7vv/4/+dmQwkRS5g2nbsYOTN50oEzQF69bGmKrLwEbb6B710dRwn72rPszhsMp9n/l9yAdZ89VX5vjW3rohVPYtCRv3NTApqGfQWwCXv9RCPeBMNePdmgkWtQmNzb72CrC1hUAMRjq54knjjMwGSfW60FeX8+B4QgNdpmToxPUGwY/++kLrG31ciTk5a0v/AHdQMsfHkP83qX8N5fhWn8nXodMtyMEDjeC7uSirja2tnghm4RoCHIJ9vTKM0L50Em25jRweaFx/env/RJZtijB84GRkZGKtQ2bm5sBGB4eriiwMpkMmcxMiZxoNLqEVsRxAhuAv4+9k5dil/MCGwm0baI+sIY1/hp6D/8C+95HOKSq2EWBLbrBeOxpNgGbmMDdEMI28kXaGeWI//M8uy/Gu+PfgJ0trL/+E+xxu9i2spGHXhrj/zP+jjYmYCRJ80gWvvoI3HwXwZ+9h9ehsnv0/Wzd5ITNb4PkGKiphV/KD9+e/8cu83+xcRg7xLWYNfBCPe8g07Oe9exjPVAnfImjtmvwaVl8zw7Rc1jB45QIJ3LIokgonOE1DLCFYTjynxy56GlAKO7fBQIeu6mBRlM5Lm6SeWTXAX6+C27c2MhKR5KwFibgtnHzaoUtPge/PjbJuyL/xuXh/2EjXXy95Zv88VUreKpnkpeGIrQEHEUTUlGj69uJ/MwXqXVfyQnt9SSzWlEbnkMuxcXNNvb2J2h360ynMsiaAJk4DOyD578Lx+6nCfgQh3kgkqJhX4R1ag/XxHchAq0c4tHcNP9X+CqbiBE89TGe+8kojSe+zjvI0sYlHJDezNGDDUSlWgQN/ohfcnPoX6h7sAO6ngens1yjeez7NAL/h8/TP9yA/LM1sHo17PsebUAbsCP2Bxx9aS2NF/0uqzURIs34ZJ2do1E+w1j+Ag3o/RvezmaCjKKgIYRBQEBEILNbpwNowFxxb9/1W4z/1tPUTb5Iz7e+hr11Gx3v+mrRp/bowdGiaW5ewRUd5tjhvfSPRrm8ycsawwND5V8Z2D9CYjrJ/v4wnbJEOJcjoCikTxr4jABXrKpn2jXKQPhn3MoRghyBXhV+6/tzf6+nB3Z93vx36Agc+AlsvQ1u/WLJlzRgP/x9LYVwsabHfpfr6WASie78e489tJmjW54CSosAxHl9/83mOWp/j63hX7AVaIy2Mi5tpjX8MAB9j93Ed5u/yHveeDlb84ENRu8zuHLDTKT8cCwfXX34cXDqwFzFwBXPcLEG4gHAM9da9IapNClUnGEZR79gfleCbaLARDqLDEgDEo0DvQSB9QDfWwtAMz/nh/7/j5rkEDUPf5RRTaH10juxTbfzwL4JNtcLrP3130E2yuUX30040Iwu2njDyDcYP3KKQSOI/NZvnlVt6xUlsFKpVEWTX6FkVCpVebL+3Oc+x913371MrXASJEUI8AA7eI7VHCc2+CzN8mb6hoOs7H8SB72Y2UdQg4y75Az1+/6IlZgCdMULX2KczTRwCCV6nOCBOjbuuBXsMtIqmaZd5cEkofRRgj2PY8e81nXhe2Gw21zVaknQVKouITl6BEb3Ecy/fA3TjPBs8eNrpSE28Gvi2KglghSGbFhCQscAWhEwmCx+v/GFv4NLzIc0mdWYnkpy9Zo6/C6F7iaFvc88wuAJc/rYF6/hhlonqVMjEIP/fvgEv3txBze/xgX/+QghYD2n8Az/D/dl3siqeg/XrW8oljwC+NzDh8moOu3j/8wOduFK9FLb8dtMJeK8NBThMz89VD7RqjlIhdlSJ7KlLsihZoVHD42CluTQqSE27r4Peh4tXo8MbEz/hpp0DI0JJCj21S1NIVZETS0iBNhOPIiPLADXsItgJEQX7UxTT42zhusy30YAQtl+Dn7xdgJ3fJOt7TOr89IY3A7GIRGFnj7I/2YI0zi5nmPwwt/DsR9By2acoVraE0Fm02EcwJt3hRj5Ywvre6PwBrCZBEnfJLEnvket+iLxE4c49PPtRMTX8PODo6iaXvSBzDtxTfUxdOowRhYGMgprHPWcDKU4NRknkVUZiWRo9tuREhk2eFSSWZUVXonBWJJ6px1vNsdLhyeQE1ku58WZ/ph8jOCP/gzeeCcEV0He0rL/R/9La/6nkwfuwwUE9983S2DNRQI66afUQfF64InxKbovK63oY+AmX+h76ofFd3eMfINjI28ovr6CAdxj3+TErghb63+H7o4AzU8+hS8zTMN4yQyQ2g8pd/4OlE/RXjQMDARNgKm52wcFyOFAx4GIkhWL31UxCObbaGf+bYcaCbE1+Stc2ik6gCPP38fE2A14hQRj01nWJo8BsGH3Z9lw6xcgEIB/e5JQOkwdPn55lpOIFySwVqxYseg9rgRB4MSJE1U1qlqcTmeZplQgnU4XP6/EnXfeyV/+5V8WX0ejUdrbF+9EBuCu0RIzAzgAgUmcaEiDaQKGiwAncZAmo0FOAhGxbAgVhBVAPQcIAub6PwtHHwWbAs0b2ORqKJu4ipx8puRFjFB4hKB0ECQZBAE8dXMOGcoXNG3w2mn1VfDzHXoG4n0wfrT4lgzMPlMdE3ix4yKOgIsEdoT8g2IgUKrHvIFfcsf+PyWsAgh0d5r7WXV31nDgwEukJ3vxk0FDwZUFNR6nxZlgOJomFIJHd0dZc/Vqs1/y/Bn38Eeh15DMF5ktVBnZeTI0ExqPKXSDTFJHhgM5nZymV/CBGKBpgA6Kg42tNbw4GOPkRIx//U0ff9n/GxyUa+MN9CNhIBEve78zurvsdSvlUWur9JM4xBRpEqy1DdKcX1uFgI36Izzzy39n6+1/Pve+5AmShvyCrNKYCMV74NgJNlKDl0D5hwZFYQUz63qBcmEF5ng+2HOQdepxADxk0J79Cn2Njdhlm7mP25nmisQ4q6UJThkOWoMtoOmcHI+Symo8e2qcjKYzFrJz/eYGdvZO0+xXmIzksAkG4XSaSEohkTGYjmZoprwsVKj3x/TcM8aR9pvpvuaNbFnZxh7t10WBNRPbnIXQwiLfSp8GEfj/xv6KrrZdRV/12kYv9M/0e2HBADk62Fc8VgA26M/AlIsTj4c4Yqxje+YACjH0sGd2JwFuUMqriMxdapSTy4kYaOSQaFJshHI6SVTSmAtVAdAQC+K17JxB4O3SLgjtJYT5fG/gBCPJARqNcToN86pCAGofPT+5h4ZNr2Vlehxz1HjOep7ZggTWNddcc0FsyliIMJxN4b2Wlsrhtna7fXmDMdbdAUfvLb6UgSw5RtUkNhTsmAJUkEBDxkBBJTWztKV8YNaVaCUwBcefBU2AYPmkWCRyoPhPJ6BFJgAHuJ0g26Bm1ZxD+pJh0rpCKinQGvTP+ZzHvgrrNsLEsbK3C0uAmVV9FgEQMIAkbiQEcqgYqDkdsURiuYEV0Z/wK96E0yYhCkLR7DU6GqI2MkAQg0naUGSRvokUsUQOVdWRRIHxyEwOUuH324G38SMeUd/DY4fGuGV7CwGXrZigPBHLYByJEsofszr6PL3By4vVJsoeOE2D1KR5o0TzUdnR6mFf3wQ1Dhs5RphdlMhDGKFk+VGYxBpCL1Aa2lH24OngNMBPiC5/C4358VE4VgAuOvVlGLwW2jab2vIsQkDGmOL0o1jHS4gVzPIXlTzaBpDJvyVgyh4DilckA5vT++hgstg+P6fYNvZVfql/kCafi5aAk/VN3vn9WmPHcYQO4s+6kZ0JyDhYK6UZTadpJURWA0GHQwdO4cJASIi40FA0cErgCtmpd9losmk4Z9YqRbqMp0n3J+l5bJRDnVcQ4GTl7njm3yq+PSNwKuPlGAd+8SP2OC8rBgZVwhQOg2Xv2cgSDB/lYDRFrecUHsaRyRGueOc083ldBHIO0mg4kEC2kc5liSOiogACdiBFuY2l8CwAcOzXEO4p9kEzkzS7xmlNniSUipf1S212P4k+F6DnF4AGHWc5+GJBAuu+++47q41YLrZv385TTz2FrutlgRc7d+7E5XKxdu3al6cht/0jwb+fEVghIIeKDCRQUaGoaXgwHbwaqbKJo3S1BqPl50/1w2QtKGLFh6v0tTmhRglF+glKTSC7wD43h66lXmA4kqLF7zQDNGYz/QhMOQiNzzgbKq32JEDKazw6BvWKA3I2xsigywY2LUupOvkefsBTxuto8jXwgWtXA2aicWywn0sZIIlMwOYmMhommVLx5HK4BQMBgQabncd27mYLlJltbud/eSZ1NQnPWo6Mxvjmuy5m/2CYaFplIpYpdnMIuDT8MxzXv7VysICehWyCY+NJHusbYiqZodZl57oVbmI5DeHYXMHhBNSy9auJLXeCeZd85syGX8oyFTlJHGW2DoSTKQ59///wwsWfZevKLrYy977b5kl2LbskzEmzDCP/J5pNyeFABOzICAgYGJDXGIMAo7sZIE3pKLrS2M0e8Ul65Ddx6YpgcauXSn6twVMvkhw7ThwP2WyatENiZDpHc43Cazw6x2NxMMBQQZYFDMPAAxgiyIg4dBE9bvb1bL0EzGdrA/sYHdWYNGJk6Ssbq6H8X3rP94uaV+lnC8Hx9N/Q/XuPsmfy9DlZldoXik/Q5HVgxIzi4rWmoplOBMfcAg2VmMjliCbTZLEjIpAUAYeXjJZgMptG0wwECTzI6IBuTJmDIf+zxeuePEwQM6He7LMMCAnIJFAToTKB4WWa9FRficCrsHpYZqreD+tcMzIywpEjR8jlZoqXvu1tb2NsbIwHHnig+N7k5CT/9V//xU033fSyhLQDIEnQ8NrigwHgII2Ahp0S3wAQxskQMvPF7oUom9/z58wSGu+BkcMLfMBUMkQgEzODLmyuOX9d9UFa62sZjOn0pTDfn00shKZHZrVlLmWDyukn6KvBQQ2a4MGY9VyutcMtjuf4wOtWlTmxm9xp2qUkjSSQ1DR6KkmOOIaeRCCNR8lh17OEpsLFvgvm/2zAh/k+LsMMYf/xngE+9MMX+dHz/ZyYiJcJDn/eB/Krw2P86fd38+M9AzMf6irkUhwbnebotM6uoSw/74nx34ejbOpsKZ9iNEAFQYNK622FzPwPmwAo5nFuppHyQS0A5CgOmJrMboLPfpl//e9nK/Z76XXpQLDrxorfKRNrKuY8k/8z/aoKGjJJBAQUbMwsYEJAPNY351pqVJU/4H+4zj/O0ZEIPodcTAjOqHpZtZfY1AgyaVQ0plQXe0MCA7rMcyGDiZwTl1RLxHCTlD3E8ZAUvExrblKCFxUfIZyMaHZCOJnrADCR0WjjGA1jz2JnZqyW9psyS/spI8Np598aJth69DvccUVnRZ9NsORvNgZRgrLG5oBR/E59/sfmtNMmV/wL6QInEiohXQCbTDQrENdthBGZQiCmm99J5RQM7KjY0LARRULF3L6o0gpKJTL3zfgEoegYMomy67MBnrLvL70U3JlYUtBFLpfjyJEjRCKRiqHulSL2FsLXv/51wuEww8Omjfmhhx5icNAcXH/+53+O3+/nzjvv5Hvf+x69vb10dXUBpsC6/PLLueOOOzh06BB1dXXcc889aJq2jEEVC+SGv4fvX1d86QBSpJnGaT7sBmQFSKIjIJ52bVzZ4DANk8cX3Bw7OmQSpmlLqywe+yZjpDMafZMxOj3lgy8EREZH8ZcM2vkoTOQpYFK3UeeU8HlsGBkdOVeuLQrA7/EzXpp6B6ZBD8CgVoqzVgnTr+lM6M0kUWnEIKNo2EURBzKNDpVkTkdUZ5k1gK28xJc3nmTtjuv50x+8QDqnEUurbG71oZfMWn40evrG+d+j06i6wb68XyKaVumuVdmanmS9J8Wg34kaTzEYSXNqKMQXHpykbETN78cGzAftTPpPXm6ZPqTCl0tuvg1YrT/DldEZB/0kc/2IhXNx0W3kJgZREgfK3i976GUoRv8IptwVcRMli4REDljvckNyomTxFZu7wJJhBaPEBu4jufIjRNN1bG0zt1Up5OsUNBGvkMJBBj86A7oXQ4ZQLokoCGQzEiIiOclBJKdRq9iJk0OTDAQktnQE2dcfJiFmSUCZhqTOujaDFC568jaMuZzulmUNSBvgm+XDK+XkC//Gryc6GG66mj8teb/cOjIXAeidHsUuBJhxUlQaHfIca8iJSJqJSBYRAafdTiwFIVVAcrpIZbNksKGhoyMRUmVyikgmK5LVVTTVXEtnZdnUjmevOgzTBDz7WSI6jkG02A2ln9kpqZ6hnP1ct6oElq7r3Hnnndxzzz0kk8l5v6dpc00jC+FLX/oSfX19xdcPPPBAUWt65zvfid9fwccCSJLEww8/zF/91V/xta99jVQqxSWXXMJ9993HunXrqmpL1azqZpR2mjBX7CKgEEcznIglq5sUIm4k6nERZG5fhoDKoSKAXl5qpTCQ5tO6QmqUYEyDscOVm6xnmEynqVMcMDY+51yCMVX8ndL3Z/9e4TkQgJBup87mIZSIowoGIhJtJSazENDKMMcPP8CPa5uZiJmJwcLUECGiKIgYxjhyxsBpF2gQJVxI1Nc4WR2QOBJKIs1aZhf6oe7Fb0L3tVy/sZFIKsdUIsNLg+UrSBHoPfYcBuvIaQaabvDYoTHWNfk4lBhhq2OU1TaJ1Rd10tMOn3v0MBl0hPTpFxmVqPTAgxnRXfCF2TDd7RSCOWfNqrVE2c4vi6+ngQy1tM4KPtCB/zdcyyVrbyby4iBBwsXf12aftmRtIgK6LYhT1UnqKh6XHbwOSJ4qfkfGKFM+dEDUQZZgHS8wMvggO668c97k0jbRDA6ZAOI5gTQ6PpuHTM5AlKDRZ6dnOoVNgQQiOhKCACoiPdM5bE4n9pSCXRExSnaHmcZJPTORwAJmUMjs+1RJkMwew5oN9mpdXM2psvd1QMyYHeiVY9QO/JD7BzxlAmu+c5YiEiYZKf3GPOJTLn/6ByLpvD8K0GWiORW3JiOJICpOJM1AAhRJwOd2ImRVTmY1dElC1QzQQJFFvCiY6nsJgtmK0v4KAXp2sKJ1wOzHkqVL7uzn51YlsD772c/yxS9+kT/5kz/hyiuv5F3vehef//znCQQC3HPPPQiCwBe+8IWqG3Xq1Kkzfue+++6r6FurqanhO9/5Dt/5zneq/v1lY8s74aXPFV86AL+QLN58A4jRzBQ6DrIVBVYQKuo05mDRy4TU7JXd3AdGA5IQq2wKaQVa3YAeY7ZfHkDIq//zPYizBZkM1No1JpIRjHQOCfBhN9sw65iNU49x3+7L6dfqGQ6niTMAmH2lqVnz/1lw251c3mlWsUfXkDUNjXkGsnqKU//9OeLrPsbbutv4/CNH0Q0DZdaq+TU8Sa9jEw0+mS2tfjO5O62yUZZhrI+hpMDP9ieJpFQurhEYmk7T6LejROZec+lrnfJFbJbKRpME5tThzb92wnxqNWAGdhSIAWPCldQa/4PTyJ/IZt7pfTEvh0OtbOZytvNrfPnJPMNMtNzs9meBvqwLA4P2gJOu2kpeGMq8dCnAnZ9v3aS4Vn2GX/3qQR5MbGQyDQ1eOy0BZ1FgDcYSOEkRJscoXnIYTOfM/nJrItMREYfLSzqfjiDLEumsiioKZDISogC+WpHJcK7MdznGShwcLPYjFIRWOXM0iEqI8FPxZi7ha2ULxh4D1omADqIBa4VDvJZfnOlsc/AAaGfK94xCtNwisdKZYTqVpcZpI5XKIaAhauDRJARBQLaJ+G02ItksSsqGlM3SSpasqKPnpZGggk2efx+42QrlbIFfPs+ULF2ks+9yqcqHdd9993HbbbfxjW98gxtvNO3k3d3d/PEf/zE7d+5EEAR+9atfLWtDLzT2D4Z53vtGIiUGCdPmOyN+3EAYO2HsHGOecGTK565KdvGFOopNVJA9C/ubhW1eT1sBYc6rem8toawDzeYBp5cgFXxjgJ/jXBr7JSNTcXRDx5E3NchAs6LjljT8dg2JJMdGxnmub5Dn+gaJJSKntZwrI4/iPPkovzg4zIo6N5puzHkiL2Ynr1vbwDsv7+Qr79jBW7vbzXI6QQGSEXoGBjkwGmEklkAUBD5z82Y+dM2aOQ57OP29kCm/d4VFRgyZKDXFcPLSh9KAOb1eer0KDobqLuIUK1FLNPcoEErDhL2Tg57LiSgbSaOYlr9ZJyxtUxo4pbsYxsvxhAs8QfNv1vdKJ7EsPtIlb8j6Cdz9P0SbOgyaSk7TzYoPeXOrmvc8pVUVSVAI2B35hAeZOCJxXUCQJPx+F831ftxuO7ddvoLXbmzC7bazsilANCMQ14ViXwUBf9vF9NNYpjhIRv6iZl1z6QJvvnumN17FRMld1oD/Ef7QfCDzN6FWy3IVe+c5QzmlWaBmX06XtGOeqVgQyv46PA621fvo8DgQxRmNSMUgZ+hoOY3RWJJoRmUqkUKWwIZALTJ+RcJmMxAFHcM4zYpoFmewds+gnHmXgaVSlYY1ODjIxz72MYBiIEMh18lms/HOd76TL3/5y3z2s59dpmZeeOzpmyYsODhlv4RtmZ8D5eHBYE4qBjJpXcMlzgRIz43+ouQzG8GlRuPYvWf+TgXOPFjcUJJ/pCKyM92IPSCRyWk0++0wloboNOYDOjOzOICW+JOsl3bQ715JW2ymWKmGi3qPQjKTQ5RE+rM5cvlesSPQitmv5srZU9YGB0m29v8I55WbmXSsIplVESYpSx9YSYxDp8Z5qmeC7zx1klq3jdtf08VbXSnGYzGmEknGCWJoYFddvP9/R/G5JD5A+ep9traSozyHZ74owSTNuAkwTZpgflqb0ZIlcmjz9n2WLvpoJsOl1DNMnWL2m4FZL3HvSI6LAut5KRFiXWSUxtwQckEyynPHWgYHccGLAHQEasBdHgFXuMZSgaUikEBBwdSibcBG/Sg3GI8x1tGFo7G1rH5mYeHjl1PUEKfL5yWWUUmpGsmUiiJCLp5AFyEti+xoC7DCnkVIp9G8KuFkGHs6jhutuJgLAU9PuXFqq6kzxih4U1QN5HkCDM5EOCfxUy7lduNBnIJ5P/uafhdj9Hvm6QTz3E3Z/gXFG0xQTwcTxfaWR3WURGEWUSAwk6A8nMoxGc9S57HR4lTQtCRDU6YpxIaEgoBNkgjpaWRMs5+a1LEpErnCTgCpNBFBxSdkWMn4GUP4z+RmKMMeWMi3lkRVAisYDBKPmx3s8Xjw+XycPFme6zA9vfyl9C8kChWSva1vYc3JZ3ERnWMi0oEcOWpEBdecjJ7KhHERLA0dq4YqU+pOt9IKAjjrITUjLHI4ORk2qPWJ3LA2716OeyDqAkEBI02pebCdQS7RfkFt0//BHTONTjowSi16xmBDo4ecbuDL6QyF06gYpBHIYprRDDCTouMzbTA10pOsjz0Gl3fzxLEJGKNs5MuAHjvGaKYT3YDJeIZvP9XLmq0hXLEIdZKMgJO2gJODoRi6bjCc09BmdUjxoc6bHFU4Q16USSetTNQ0EJlO4eF42TFpGoiQwlliBqTs83qam5uIpDdyPHYAj34AhwiTBOmfSlLrsZGyu9mb2kDc2MAVpKgVp8puZhaQCSCSIEULE9IaXA6JbF0tNDXkv1Xu8yidOPwIxAQHaXLFii1BKccVwmFi4k6igTYe7k0VC9C2kCUEuImxRRpAjIIjq+NxyShumE6o6IZBTFNBg9AJieFsDbFoCqemk4xnqUdjBVIxTAfgRNKP1+ikVh6nnh5EQJbBqGKWM4D+cI6+zGv5HX5FrRgnodSwub2G4VEfrYWEcQ2caGbXnEFp0emCvMCaS7mGFQLGceF0rabLb2ouvf1hUs4cMVmhpTlAKBdGJclYJINTkfC7ZIanMoiimarX4LUjSZDJGsiSQCqnM0EKVdQJGIAwPr+/m/nNpgUhNye4xOmu+P3lpCqBtWPHDnbt2lV8fe211/KVr3yFHTt2oOs6X/va1xa9l9UrjcK2HLuHV3GZsBKXsXeOQ1MAArKLthon9YJEcPzAPGcrwd4B2X4wwotuU3FgzZOMOBTLMJnIUue20eqdO9WebjUWAsa1ILX0FgeVBgjZKZIhicGxHG1uB5APVVJsIDVA4kjxvHZUdvAS8djBor9MABLI+CWZpGrn4ra8/6oTdg9GmYpn0PNBFzqArw3ik1BWaSJLaN//8HyyjaDzCoSSUV+4not4gcNCJ4XC5h21TgZDE1wm6+TcBndsbGVX7xQ1EkQNjRpJmd+envcjzTblzV4nFCsMeJ2ITQ30J+KEs1EamJlIjuMnThBPJmxqcwU1PT85juPl+s1t/FckxnOxzbSJo3hJEZbXktNMVcput+FuXsPu6YtolSbwiRqUhCPrQD911OIm7NxB04pLmE5mOSbYaBcaWN/kMzuc4/OE04sEUVARitFksgCNjNIe3cnuwSY2By8v2aLG/L8DUNRpUqqOAwEtYW5t0mSHSFpDwkBDBwQmRhPmdjm5DGlyuAAFocwfPKR00EWOQTYyxCTtLHLRXBKNkgGyOkhyA7v0jVyhnGScTh47NEacN/NR7fvFwBiH2QlnpH71JtLH9+IoEfwzQqGB0KyQ8iROBjNeuvxmLlZTi5+TUwmaat3gd9HU4ifpSKC6VRRJZO+pKaLYQAc3IscjGg5ENjQGGImlyao6KTwk0FCECuHrszidVpWhwmLMO1885vJRlQ/rfe97X1nB2M985jOEw2GuvvpqrrnmGqLRKP/4j/+4rA290ChsfLi+xc/B2mtIVIj1U5Go79pAzNlB1tcOeX/XfDkcQWDVxsvzJr3KGllwnn+XIcoMpA32jKQZSBtmqLsoMxo3SGgSo3GDgbRBf8l5TuekLnwWsTeQKmmXiIidNEG7ztR0BLJxc7mrOMHug4aVZeeRslCXG6F59Kc4874+AfitNljpSdLmjDIaGuTgqZOMhgZpc0ZpdcTM2nCY88febD0hOVChlSM0H/9vgrHjFXXTi9hFrctGa8DFNWvrEQUBNznQkshais6Awtt2NHLNmhpu2lDPx29cNX+H5NcDpQafuX1Ysmjw+mhzybxm8ypwrSwWe9INCNHAc9p6wqJnphJKicANyLXsGckxlZOZkjZzgg3kbKsJNezAY5fJ5vfD2jeW4RSr2SvuYJoG04tUIlG9wRXk/CtYubqdP3vdSjY0eXHa5fyuzDrH5fqyCaxUUITRmSZDArHMT+MEtOkjrJp4ktb0Sbpb5z4DadI4UNHIIqOTzeXQVQ2nAC50XGi40RANDUHLIRo6TgE0snhkoyzB+p3XbmLN2g2klBYG2EDBqHw6WVK8pixltWYVJK5b30hTjZcHlVvZxWt4kN9BFAQe4QbShVQADQQbFZf+hcCUwn0/YTSQoDz0u6CpDAn+OSexIbDGk4XENCSmkbLTOLNhpOw0p0aGOHyin8x0CL8RZXCwDzU7iSsTxp0NI2ph3NkIihZhbGyQTmeGVkeSN62xcU2jTEcFdfCMgShlbauQ0OysHL29nFSlYd18883cfPPNxdcbN27kxIkTPPHEE0iSxGte8xpqa8++tD2fKWhYfpdCdvWbCIcewMlA2WQpUc/DE0HiSZVG1eAOVwf1yfLw5DmDqGk9jB+DyTRk0pW/M+v4UudyEECxMxpPktEFRuM52v2mJ6ahDkYjSRr8LkYjybL8lUqrrVL7tgYMGHV0EKRQelvEzfq2JtI5naDHAU47aBnIRcFZAzUt0FtDqGQl7JZzXExPPjzA/I2T0QjxaBqn4UDVDQQNouEkawNOmrwUlQUVGHStwp3oJ6hOMzu+ssk4zKXxX1Z0N6zlFA5DpTPoQxQE1jX5SI2lSSaTGAI8tu8UWVVne6efa1ebD2tfhfPMR8HvU8yZsgUhmy8jFmgwyzqINjwNrURPNeMwRsgJMImHfvsVjKv7CCo9ODXKZuAR1c5j+8Yho7K9fTWNHhhLjBG1r8SbVTgyGstviJlFF2s4rG+ig1EC2R7s+UnXUGBta5NZgb6lGUSFDe21vDQQZUO7D0SFPWqQ3yq5Hlv+3owAcex4SCBioOIGI4Er30aBMGLoJbrrm3noWRv/+1IXd+SPF4AkHlJAvc1GVjNQJJGcBClDxzAgpxs4ZZGcInAiZpBRRXJoKDhJKxJBNR+yB6xq8JGIt7DKtwNlTGJyYJC24rLrDMySap1CA++5cgWfezjN8Ug93+TN1Hvt2GSRS1Y2ceKkh016XosvtfWXJINFcVBDuvjsvDjlIUkjPgbniIuTRhMb8UCZ6VfBEHRzbAD9EzEm41n6JuLIssDIdBKnLKFIIlE1iyIYaIZZahRBJ6caSGh4ZZk6j0R7g48VHnNBeco1RaGc5XyL3NNZU+o8zYTiM/64IEBNpTCk5WXZqrX7/X7e/OY3L9fpLnjKN7erYfzAduoSk8Uq6mDmYElahlQuhyHpTEi+SuuWcmw+6LoEosNmIvCcUHgx/2cO8tmDLgQkUgqNtQ0MT6dorHGCzVTu22s9tNeaQ9aQPOTmlmU8LRNiAy0dq6E/BOgEPW5Yv41T4TQnQ0lykouuGp85c3sbOKV6yNFCbUFg2UwzQwPTZQ/O4aiLJHYmoxLbO/1MxnL4vQq452qZuYatOKUhGA1BqlxgKSRYG91Z0axQD6wyxgi4moph7S1eEZesEkslODgSQUFkPJ6hrdbFmjrPTGh3DhDBkMrnvdkr+7IsFVfNjMByNIAtAfEQHcEgZLvoG06QRmScGiL2Jk6oO+hgBIdYXqljEBfj8RyiKhAI+Bi2rSOn15GWg4g5uKSrlv6pJCAQz6g4WzdxaGiSTcIj5oIkXysQV9A0FQs2EGU2NteysXlmyTLEBuB/i6/TzCxUpvDiQUUkRzxnIKOQk3Nm3F8O7LZhIkd2kiHLSf+1M/cKCAmrSBk6J7IaNbINPWewqdlPk0dh94kpHIrMeE6l3uNkcDKBKAskVQ2XLFHvsEOqh4Jf6IXBOH2hNMdiOtfVtTM1uYO61CSOCukicyikNpm3kj6lrrhJ5qnxCKhp1rXW8YdXreW7T/fyv/wOm+w/Kj9HLt8hGuh2GCBITcm+KSfTdgKsIMl+/LNyoHR/O0HND/Ew5Ps2jodD4w56EjZW1XmYlkWeDU3S4HEg5gQyLj/x/KCKkiUj6zS6HbgVmZ6pOFlDR9RAlF1sCtTTk9DQnR5WBV30pMbYzvwmtsK8kQYcs9JADARGdCcCLpTSvg00n7mfl8iSK10MDQ0xPT2NYcw1tFx00UVLOf0FzeyttA9e8fsYv9iFaXswpzoZg4t8UWJ2FZ+k4/c2Vcx/KsNQoXETNByGbBQysx/GAOYUNL/9fnfEwa1bWuko2SHh5HSSU6EkXUEXK2tcdPjh+EE7kFlw2PyWVc3AOhh4AQzd1KKatnBgYpi4TSOSk+jqlExPuOJiz/EkXvx4mfFXmxphgpJAPqbwESZHk+ygtbGN1jkJ9WbBoQ6cdFx9ORyagkwvpCaYrWV5mFuhu6CFvs59gp9H1/FUj1lsWDs+yY1qHB0bCknSms4qZ4DdRwc5MWhnQ+EE+QRfDcgi4Mprh2YxphkxVTY5OAIUzYLt2yHRA2qawelphickanCRRiCJh+mUxk62s5EX8Wg9ptE1/+Reum0VTx4BXZQZixvceEkn+wb93LCqA2Qne/qm2djs5T93DyCJEErrZAPbGQm3sloxJ1MdzGCVlAKu2orhyUpDC6UVowrWRDMArwkBgxoxQU5JkDEMZCOHlANRABs6ToZYjw0t21hmTty8uomdx6eQDYNJVUdGYDwt0N0VRLa5GZxO4FRkUjmVzQEvqZxafN1W44bpmbZu7wzywqlJHKKL/3d0iit9nbRk1+DQ9pG/IeZAO40jZBondrKcVJvphJmddg2Dm7a3srUtQDqncUC8ibT+o7mG+bzJVjfgaK6ZrcZQ0dlz42VbObVrmKlEAP+s4ItcKgOucq+QjA1VUIjkJI6GcvSFdQRc9MazrAi4CdgURiJpVNUwc+tkBUOUqatxsHcihYoIOvSnNH5+JEJnjZMjY1P89lY7XW11aKMzXTHfM55GwFGykWQakHAwkZFplYLmlkUFkvMFlCwfVQmscDjMRz/6UX7wgx+Qzc4NsTYMA0EQqq508UrkeX01O+ydtGciFDIyXDYfv7Oty/yCnoOYG06c4US6CoIITZtgsg8yswrjSl5w2SA2v8DSomMQnbn1fZEUu3pDOGwyPWEYscu0BdxkyFQoizBD6SBvABpWNkA4Bf4G0+7ubQA9w9p6Oz3jMdbUu8wJw9MAzlpyyjBRWwPRrI9g3nNj6mZa2Zyi2CQaRRtBt22erSsUKMQKOn3QshUG90B4HJKzK3WXh0KUmkx9sSeZEn+LY2NxnDaJRnUMyCCh00CSuoCddbU5wskkelyaMe/m+8dMBPfiyl9LCg+UbD8yU0JJBnctCM58stoqCNaClmV8YJJQzoaOhzAKaSGITTIYkrs4nF1JizxUpjG8ddNGjti8HBuLM5VO8S/PjnDdujq2tteBpLC1LcBnfnoIURCQZJFV9R7qvUH0XZspmG4lAG8z2DzgbaxYR/Laq6+A+2deF0aPCCTlGgQHBOUxiJj+rKxgIEpp7PnvSoRpYJCp1HOIebOZAVzUYKPG4WffqQiDsQwKEqKeATWFrqYQ9Qw1DoGLGgptspX8v3zpv6WrmfcA//yzF9E0iWcnbNjllWzjBD7iM5kUNlCFmby40nE8QgsOI8UJvY5roWy35wLXb2zkVCjJcLiRlcWNMJkTJXhKWoWu7kbMN3Pa8DCie+k1mmkWJsqE3cqgQihR/qA1CGkaAtMcGo2SyKjUZFU0MuiAMyKjGQbe/HhuQDS3uk/I2BU7m2wJkmkdBFAMCOp2vEkFtwG/2XmCZrvBxZzZb2VQAyVVVARAwk5NfQPBbBymBma+nD3TanvpVCWwbr/9dh566CHe8Y53cNlll81bKslihu6VDYz3vI724VME83ssBesboX4tRyfjHB6bZlNNgDUVji2rpGAYoCahZiUEOyDyUvmXXR7w+CFmbuxYySZdq00yNJphIpbBLon0T6fwG2bhVr9NIhzV2D2omhrEAqPnJ4B6h4vjaRdptYMmb4C40srBw1OsbfTxpm35lmj5kD6bn4tXiwyLUyRPthPkYPFcpS4BHVjb2kAqZ9BW65gnOdEGZEGQzWz7YBe0XwJTxyE5yHxVTGdPVqs4xGQkQVITcCgi7QiI6NjQcbu9XL+1lZW1Tk5OpdjTN1VhP1hIEKAgpMxYthmBNRMqrJjJuDaHOQOIEtSugvgotU3TJNJZohEvUfxgd3B5m4c9oxo9XMkV2aMEOFWcpven7EzEMmRVjXDaIKBo/PLYFDdfWt6uRp8duyzxnitXmJOw1A3P/XzmC54GcHhMQSrO9rDA5lXl/onCuBoGfH4/MUTGtQQZI4EHnQQ5dBk0HZScGYDhF6doUgfNCVwy1x5PHOxjRaOHFncOpyGQUbOsr/VAKsbERBhN1ZnIxlmhBCreQyRjJrpBENjS2cTq1nqemwqTI8mA2EAXa1E4agby5AdWDnPym61ZDOXqcKAyrMwY5/f0TRNO5op5ZG/tbmdNo5ehn9zCyslvzemXwjkN+1rS0kxVkVBOZkQL4Mi2s804iMOuzchbp5NTIzK1KPjy5sIDRpaGjIwqOegPxxFEJZ+RZxAyTG00pUrYZQlZEDEMHd0mkRMc1HhtOOw50hmdFDpdTTWsafby1LFJkqrKSDJDnDMLrBH81JQILDuAzc3BsMJkRqED0woDMGE0mDsYn0WqEliPPvooH/rQh/inf/qn5W7PK5atbQG45Z3wn4/CRBoMlcNiDS8d1zgynCOasjOalViDzNyAaBMDzE0YdQNkuxnCTQ2FjHmAiGFjpa/J9IZTWdU3HEGGszJJnISiGQzRTiSZodnv5FQ6SyhjFhFag2I6IRZADsDmoWdKw21vAsHJsNrEoNhGNCazZn3e/qimIR0Fu4fV9klWOzMM5npJDRwsxlGWDkoRuKj9DAE8khO0ONgdpqbq8EH7Dhh4DqaGIV05PGJ23zSQpZ4hTmitOBSJd66uJXRAQ0fE6fZyIqyhS7C6qZYTYQ1hVoUrDWhsWE1wfIIQOjJeSreGmbmrEniawJa/YkkyhVbjRroSk3Q5NI70i2QjBr/VvRXD4WMkNgn12xFj21AnR1Dyk8TPjieZTsrYZJHGBj/T4TAOWWL/UJStHeZ0tL7Jy8BUkus3Ns6Yqd2zSuY6PKDawDZ300CzjbayPktiliqWcOByOahzexgbieMkgUgYGzbSqAhGFtEwrcAOUaNJzeeACea9zYQnCYtR2rx27NkM9UE7LWICUgna7Gkmshnq7XZIla+chpNpJmIZ6rVsSQFZQBRZ1drIw3sHMDSF4ayPmrXbUE+ESXKyKDzyrqY5xoOjWid+MYGzuav4ns8h8+jBURp9DvYPhovm/q1/8FH46rfmNad5m7qIDvryOZgCfpcDT20TY7EWpvBTk51CzFsBf3EyzCbFTTTnwkcEcjCh1PBceCV2WeSAEcHQDFY3+egfT2AYBmEjh0uWsIsSzbXmPfPUOZkC+ibT+AIyGVXH65CJ1rlZsaONVHOcx4+OMDYdJjf2b3PaPjtRWCWImk9VKXx2Mqew21DYghcPLmrzY/GFVOP5KbCCwSCrV69e7ra8IinbxK6lDZq7IToChkYo6yekOhhMJVFkG0mbFwQPGAnMW6NQukIXwFyVqzkgC3UrwROA+Iy5YjLlYqW7ifkwgEPSejbXB0hlVHJ+lT0np2motbN/Ko1ZyUYFBLrZRVHy6czsTVGhcoCCCxQ3q9saGMq2kxXrOak3MyUEuGJdC/gC5hfVtClsJcXMblRGaGtZRWigiTn7fhUInykeL98gm90sOKi4oHYFdFwCkydhdJTgLF9cYSVcmu9pAzZymH65nXAyy/8eGOAKVJyI+HIh+vrHSE87WO1oYbU7Pkf5VIHjCS82RFQgQx0GPRXCqgVOpBTErA2fXSEo5dUNV5CjRhOToz10ud38zupOuHQDP9g1RFdAYSwjsNfezSXswsc4oGCIEmsbPebk7bVT72nAbRPZMzAjsAoRqzN5UMzdZ8nmASFpLogqdnH5VRTO1IiTxtVtkIkxoLUxngyTy6URSKEjIUngyAejOADNXq7tyg4bCVWiTnSwrcVX9lmL10bLPEVZxlMZsoaNaRx5gTVjRI5mdNKShyk1QM4jYgTs9Lu3UhsdwJXXXnQgjox/1uIwaw8QFWq57ZKZvfOiaRWbLDGdzJbvSF3TALaVkK28QWRS8ZOmhSxZwE53Vy3jU80cGq2nN91Khziz4aZGmindhx8/OhEMBWL4aG9tJZnTcCXsxDI5pnQ7SsDB4HQat0NCskmsa/bjcUg0+hxsy7dt32C47N8b2wLg9rFxVZCNqzr54W8Okx1zU/TxzgqsKDwfNf4gcsQFJAlhRnVOGF7i+BgiyXrqMEijYmPLivO0Wvv73vc+fvSjH/H+97+/bKNEi7mUmhMAjqvbuIQnQcsgeFtxe7y88aIaohmVHR010NsEyXGzSrPkg3i0XG2XXZCdMk1fdi/UdEK8t/ixv6nxjNE6A+Nh6lzw+xd38B+7+/E6dNRcivaASCiWwy9CVtWRSuuNFZajs273TNvc4KphTVMNazxruH9PP70pAX+NqV3uHwzzQv803a0utgTzE7Tda67oAy0Em1cRGplHYOXO4Au1yZByzJSGUdNg90DH5TCwCyLDkOqfY/4wI8R9wEwf3+Ed4JDkwjAMkpEwYKCSwZ4No+d0FHsSEjZWlHRNQRAKQMzWSDRhx0BnGC+bS35vZjUv0BvW6ZA8TBsiQSNvXBRF9kQDOKQmhJxGq78FJBtbuxrZ1zdBnVNm1L2JgaEOVpAmgY01LUHWtNZxz+PHiaVVvA4Zv9tR3Mpj/2CY4bDpM339hoaZxnhLx4gErjrIJsCxMPO+mL/uDAotTj+oOdrrgoSm2oiEIoi6E5eYQcFALElyUkp2sJKBlH8V/bEMU0k7ratmFlqnplIMhFK0B5101c41Awds5ucN6gTE+ijd06C7swa3005ErcXuEjkSU7B5mxGinQTzyc9ZYBI3/lnJuvX+Gq5Y4Wdjo6/sfIU+nLNZ4463w87PF1+aRVREwIUvUAM1K8hNh8jhYk/fNL+9vRNPahNGzzHS6hHseQE6jg2nUEOGIAGGAIEEftI5mXja4GAog0eUqPXaiatZdNGGYrPxu5d1EkurbO8IsKVl5t5tbGuo+O8Cmzsa0XbmBVZhMTqLIBBc2Qb7vIR00296GD+ivQkt46chCNnUBHVGAiQ7TS9DJlNVAuuTn/wkmUyGiy++mHe96120tbUhSXM987feeuuSG3ihUxrevqdvmphzAw59JW3OJKPeVbz76o3lBzRsNB1CDj+4WyA+aysQux+SIXMvB1U0I/EoqZrQ0glOc1laSaMAswJBIJuAKZ1AdoR2MYdbMkdswKGRzeoggaEW9rjQi8Jqfpu3HZwBsLsh6yUtezBEEUVPQy7Jvt4R4skc+07F2RJsNANHbA5weM1rDbQVlblSNKDXvZoV/spFcwEzL03PgrceM05bBy0HNV3QvMPUslJDlNcYNwNF8NZDbEaLbYgdZf1qJyem03jyq28BkCWDNbVOGv12qBARa/aAwKYtW0k8+QsMVKLUo0OFVAWJVbUK6ekAPrcNBMM8pyCydUUrxzNjNDq9plARFbZ0NvGHV2bY3x9i84pVOG1vYPrFBFnFQzQnsKdvmoDLRjiZ5fcv6yiLTt3TN43LJpPMqsVF09a2gBlWX9IeZBvICgjzRNjkNazC/Y/mj8shgX+FuTFoQiVQ18DR0BgBUUNCx4VMEJkQZjh+YS84BPMcA9M5VEOgFpHSEiT9kSwJ1aA/kqUrOFfN6gp6zfcPBSBmLzNjbm0LcN36Bo6NxampqWVlS4RTpzRcuTWExs095MySXw2snyWw1nW1cMWagDkuS85XaZNGAC5+J/rOzxfXcQdxsw2JHG7euGMFHmM7yVgfIdXHcDhFd0eAP7vxYr49sZ/IZA0OxhERGGANES1NCzm20oOIgA0ndjXE4aFpGoUMGVXHb2ggZKn3imxstXHLWgVQODI6yX89dYItrX7WN82jlgJHRmO8NBRhS5OL9UoNodz4aaImbaB4GNLtxQARER9JTcHp9TOWjLHBWQ/amGk10c9+kF1VAmtoaIhf/epX7N27l71791b8jhUlaDJ7sO8BlM03E4r2s2b9JXMPWHGFaeZz1ZmawuyoQV8DpKbM8kN2D7hmrYidfnDMWgXOorkmwPrWGpBsrG+twz2VYiqhMRHJADI+j0TPdJRwViBnE0xZdSZFWnGYfg5XPaRjXL66BVvMz4a1rSCIbO+oZe9AmG2tHlNYSTZzcnQGITYKtasIym2E1HLHkAgcSQZYsWJ+MyeeWshNm9UzZLvZb1rW1N66rjS1rNAQZAfmHutrhNhMJxv0oU/0UuvvxB8yBZMAxCQ/N6+fqVy3sy9EM2a538IkPobE4ajEJn8joUgGqa4ZbbJ8u5F6AFFmRcAO7a15aZg3Zcp2NrfVsLnuUgj1mgsPSQZJZlNHI5saXWZAxParGVCn2TeuMRzJsL7Jy7omr2l2njWxFhZKyaxaFjiAr3Q5LJnVTvTcPFGYlVGxmRq/vwGSY6CqdAVVpDXrSA1rBA0FNTnNCVTsmCZBsdChmHKrxZ0jk9PY1mgGWhTocGuMZDM0u4Wy9+cgGKagk8sF7U3bWsyFYkeAtY4JBsNpHj9cw5vzN8IAEuIaYJggieI9Gsp4OJb2sdY2f128MjN/WwcaHYj5BOUxWklKGWyBRvYMRBEiNazzr6c/6TILAPeH2dpdx7Gkh0bqCRDHgczm9RsI2FUmDsaQVB8KIjWCjCyp+GWVyVyKBruNVDpONqUSyuSosWkcGzRDyf9rdz+6AUcGxvjdiztY21h5W5jDA+Ok0iqHB5OsVxxztsSaqQ9oxgPirqEPBx1ICEAUN3HByUDajqo66MPAJgcQVRu79ofYqIfnF+7LQFUC6z3veQ8vvPACd955pxUleAbKB7cpvPb3OtjfO8JUXGLPb3rLJ5qOS0xnfE0HDB2Ze0J/ByRCppal5+aacJx+U5DNgwBMhhP0DAsMTSZw2kREXcclqQhCBo9dYU2Dg+PjITK6Qjoj4bBr8yzCZEJ5LUTNiTRKitl2p5/VjSKrN66cK1BF2QybFiTTj2V3z0x6jathqFxgacDqRg+cbvGjuMxz2FzmObUcGJopuOpXQdt2iPTD8CBzwh69beWnAjZoR3lSbUcpeZq9Dhsnp5P0TaXprHXw3Ilpbi4/EynshDQvp8QuNGeY46nywIbiL4uSGfTg8My8NgxzhSrKpvD3N5ZpHChOU4vRclDTRrp+PUdGosTSKtG0yh2vXVGxa4pjrmQcAmaAShEpv0LOC655mSmAa/7XTlr2mYuPQBckoyDnaK+rN307k6d4KZlAQsEwsgiCXhbK7QU8de1sqXfRFSjXoLt80FV+ayrj88OE00yor3DdAGTtPD6wD4EOc0AZkJHtOOvXMD1xBJjxQclOL/snddZumL8fZkcNNl38VkK7/wkVSLAKZzDCiOrj2RMhYn0KSqCN9rXtnMyqJLMqL40l8dW1M9K/ivVE8HldNAa9+FwKteoaAkNB4qkMjua1PBcNkHb7SKXi6LLEtAojyRQ5XWdoXMbfb6PJ7yTnW8FLQ2G2tAbYGfGQ9QV4cSDMjnYz+bnAmnVBXhwII9rgyaSLTcxXkV02/0SZGHVk9CHAYEysISPVE8/Z0VxBJjIjeFWFsRzs7E+Q8k6ffwLr6aef5uMf//jLv+38BcjswQ3w0KFpjo2pZNVBLl0RLHfkugJmSLYkQbRC/JGsgL8NUtMQGZkrnJx+cJs26/nMd3HDwTNDGdY1KKTCOZp8TkaTGi319UzF0vyiJ0lCcpDTnGgoaGSppN9MYkPIC6xedBoFARS3GaVn93JoLMme0Qg72gPsHQgTSebY2z/FlhavqWWJ+bqCTp/pP/E1wVAhssNEBNbUKMwXOWn2icvcStyeXxXLDsglzJw12Qmd15pa1mQLZIfKjw2uwAw8Thb7rFs8Ql/wzaSHE8U2KEaWo4MhJElkJJRBEdQ5QRcOfDh8QWKudkJqANnmQEvMBHUIhbPJ9rzmlJ++FRugmwJWEU0tR1TKZasomYJZi3JwNM5/HHWjOgJEktm5fpUKzDFrKaXbDDvM35TOtEeSi0IdLAU3Ok6cPo8pYB0u8DVDOG2aZz2NkI7ji8SIpXMYgo5Eosy3rwKv7944z2/NT894iuMTMVbXe1njajQXSafbi8nm4qItW3k2IxaLpaeo41DUi49aLi4RWClVJxXXeWkkwpbVlZ0y5VVsgEt+Hw49RDaZ5aruq8iG9zEcdXJsLEazu5YRJccfXHIxJ/qc5lwwEOMtV21hbOcJ3DmJgYTGzoEEL/aHWa2o+MV6nIpEWK7D5Qyw9+QUSC5yiNhlkbQkktY0dENiKKVwQ3c7qjLNttVtRNMq2zpr2NU3TThnZ9eoyuZVM8J88yofm1e1c+9TPUhllRhnYxpwdw7GGMZBi+BAFAxGaaSxpp31Si1uQSE1EaA36QQUjkcF7ljAWFwKVQmspqamV32twIUyZ3AXMWj0OQi4lPLPBMkUVgjgn8cM5q43J4T45NxJRnaAp9xrMlvs9VCHAExMKly1to5xVWdYSNA3rZNSPeh2COkZpu1+ktgxZlWLMM8nEUOh8CiohXgn2QaiDbQMLw4nCeUc7B5Oc9GKZl7on2ZbR4058YrSzPcdAYiNQe1KgvZ2yMyq/zaPz6iI3WFGubnyY1LMmxy1rJn31bAS2i4xgy9GSgWWBMHVpoBNl2xzku7hYH+Iq/MV3w1AkWUymo5HsdEatJHOGTA40x9BbDS53fzelRs57hhgz4kxml31EJq9cJBAEk2BrdgxMzsd5iSvSWZ7JTsHx5PsH4yweZWNLV35yVh2gpTksYPDjKREFFngz25cPUeDWtAKt9TnLC1gMyfA3P3LFFgrcELADf6g2S5b1tSSM9N5bVEFbwOd9UlIyoyExsmSwyBbTP1NouQrxy6OY6EQiazAsVCSNR6X+ftyuYY2uz/ectk63rK5gdAXvUCCLC6GVA/HaGQ7hSRis09OTSZJHhxjy+rTa61F6lYRfO37CGo5Hku2sb+3F8VXx/b2ALm0wuauGnA3EEkm+PnBMW7c1AiSm7i3E1VQydk1fn0sRyLnQNMSnJS8BESJnOhmdGISp54mnMoScNrJpTS21TsYmMrgsIFdS7K1XmJrfbk2L2YVXhxIsKPZBZm5JtVaJUc/Dq4oea9snIoOkB0cHM3gwMGkUI8TketWr6YfJ4fjMJ7IUp+004EPUVT4o6u6zqp2BVUKrI985CN84xvf4I/+6I/weOY3P1lUdtgW7euVJhdnDaTC5opRr5CaahimluWpN6sSZBNzj7d7gcph4gZgd9YwnkhhyDb2jpmmtnBaIZFRcSg2HDaRQMCDLexGwo4DM5qoXPA5yOCgMIHVFLYyFGUz+ELLsXWln92DCS4qmEM7Kuh8kt005SlO8LeYydDDswSWbX4nMmAKqkys3Cwk2cxJ09BNbWblVTC4G8abQCv0i9/cIM9eC+mZvmrO9lHLcNEkKAAuWWN1nYOufPDHsKzP0rBsppYhO9AdtbhrBTat6aL10OzGCiAJeX+bwxRcCOa/dc28n6LCi8NpYmmDF/un2dKVX7iIoimYAY9DYUW9tyis7nn8OAGXOfkvfNIQy/53RiRPMW7lFCpi2sDIQKfDn/cZeszcwEwCFA84dHDVMhFPMIGMHwcqKrZ8xKAXB8SGTvODldnoStCbTLLC5TIL9op5k2YJlSwb2JzgqCOTFhmkkV7VRp3QgoqCjEEIkcmk2TZVWMTUKElw8bsAePLf/hfRUUc87TKTtFt8kI6AZOPI6Ch+p1mQuNZukNV9HM35wKbgcypEMhpZ0c6Q0EpScYDNToPXwUQ8g0OWSGRU2msd7OgIoOo6sihS560s8De3+stMgbOJplXq5eD8hgvZDnYX61Y0M9YzQpujjTVBD6zr4PuHw+iCiCrakFweZGp4/cYWOi/qXHifVUlVAiudTqMoCqtXr+a2226jvb19TpSgIAh8+MMfXpZGXshUWvmeNurI5s6bi2ymj6okkxzIm42cpmBy10GqPMoJb0P+4Q0yn8Aaz9kxFDsTqoGWs+GySYzn0qR0hXrFTkPARVrVUSIePHYPbTkZtBnBqAIGEh57EDJmaZoxbGyCGdOSILClzcGWzrkhtWWIsnnNDi9kU+DvhOHnKatOcaZqGzaXWaHBHZh5TxBMYaimzMk0uAoat0J0AIbz/RJoM4Mu/E0QKZUsaS53DuLImrNzEHjNivJUgeaaANqpkjfsTjPyTpTZF1JIqm5CowKbcRPKa6gq5DeXEMzoxFSbKbAEwZx0JRtIOVDT7GjzsW9AZUvHLM1cdrCyMcBwOMXqBlN4lUYJLsQ8WOyfQqC9skAtx+svFhNPoyMbNiYzCp2yYmqpesbsB3cDGCNguMBdw6Q2Tgo3WTI0kYX8xh8r8JgCZ5Gs8MAKT37Lzij5SNNyH1ZFy4Ygk/O0E03rTFJPRrNxWFpBWPDQQAIBGb/Xw9qWOjatXogDzaT0Gb9kXSc9B6e4alXbjOZ7aprurlqu39jIY4fGuH5jI4Ku8kxYoKutg7a6AC1TEinVICDo1ATbWFXvJtHcTiwEq0UnJybiZFUdQ7GRFV2sbLHRF0qQFV3sH1cXrdlsW9nK0QP1MFkaaFGCzdSw6hvbGB2fYCKRQI2LnOyZoqWunsvaWqmTahjvzxJIp9FsnsoJ58tMVQLrox/9aPHfX//61yt+xxJYJhVXeqdDFEHMm4AUJ6MEUPL1yoJgag1qxpykXbXgS0FpdQyH29TAXDWE5ilSHfS5GI9mEASDrC5wcWuQppoMQ9NJVN0gqRqEUyqKU8GtOMDhgHA+wk4HQwQRG221jYRGDgNGvgxRHtlhtvOMPpH89co2M1xfCkFdFzibIFWiZWWm5j3c/D1bPthk1opSkkGXzbYAdF0Bo3vBOWpqsbUrTN+Xf+7K8MZAL1Ola4FcuVllxawgspDkZDgiYAxH2biqjf39ITatrIdfz37ExGLkX2notHkddrOtmSybGp1sau6c66MUBA5O6qRzOj0T5g0uTMoLNgcWyfvOhAWqWO7GosBy4iLjqKW5KV/BxO6BXBqcGXPbm0wMNI2+pINp3UUUJx7cJMjhJG2OZZcP3GcqDnQG1JwZaeopXxhVXBTKMge0NlSy9NGOx24nlrKTsDlJomLHxhs2NbOxyWtaCRbIQ/uGOTYWYzic4hOvWwMrFfM5xHz+j47F2dk7xQeuXc1bu81I03ufPklXU5ADsRgHYiqNPjc2WYSsSM5Zzy8HM5zoH0ZxeuidTLCizkVOV+ms84AgsK7Zh9epzEQeti/Od7S1rYatr91C6L/n+YKkgGTj0KRKb1RB0O2EogJhpw237uDdV66DZIgHIhMIRpieqMzKeU61nFQlsHp7e8/8JQvgdD6sBSA5mCRIc2mBTTA1BkE0H6rUFIge0COAPOOPqGmY2XlExYyptpnKik9Iosk5UpqGkAabauc1rV7idSLHRiMcGwvhdcg0+V0EcUCuZJiYBaBRnE5TMxlxABqrO2ZCvhfmwC9BdpgCWHZAoB0CrSUCSwTlDCZBt2FOmJUmP9mRN5vq0LDWzHOLDJoRerUdZjvrVgN+SnfhXRE/zIrSbMozrB4TuoMkNg71R7jj4kY2tdWbmiPu4nnFwn9FGxh5s6DATCi5IOSjATPmPa5UUgTQJTsJ0UtGNIXZaTX20yHKphlSWeC9cs9UMuj0NsKqNVAQWGBqmLlkPoimFrQEQxmBnCOILZ4gnjci1xWknitQDBCqGlUHXwu4ys8zn09vzLuJXM5NnX8Dg1EHXiHDuBqkDg3F7WZjW53Z//Plo81L/j4pLrMfFHMB191Zw86TIQIuW9mitburlr0n04xnVY6PJxjPJUhmdS5u8bD7xCDRjEpIzJJLJPDYZUajGXa0B/A6ZG7a1lLmt/Q5ZO6dHW28ENzlcQhleZuS6Rde197AS70j9E+5qPPaOZZw0B5wce+zA9TKKcZSEM/UEJBnyladTRYtsFKpFF/96le59tpruemmm85Gm15RVD2ZAEgyvoZOGC8xV0n5TRDVtDkZO3ymGSaVn+AK+SOuksEoUWZW89oVBkNJchg4BJGneyY4MR7j+k1NhOIZFEnALgk0+N0QE8EbgMmZ42UgqNjA20owXwwtuMKM9lq08x/MiDjZZQoFpxdqV8LIfsyyMUGoq+z8LpJLgaaaE9dsBCEfgJExhVP7JTB5wtwKwd9qvle7GlxeSJaoVKFTlJbFItBedtpjE3EkzM1cgoDLU4sgBc2FiZjXeAURbHaCpdWIBNG8h4rL9K/N1m5EybyHWaGibwbyPtCAs7pFUCl2l2l2rrhDcwVqSoSCzQ6O4Ew9xELbXUFzwk9HwRGguSbJsKoie/24sjq5jETRIuAKzF8KaqFIdjN1otQczPyWjR07ujnRX0/3+u3UnIjym8M5colOVEUgJDgIOmsWbh3IU+qTRpJNU31e4G1tC/CBa1dXFCyCluWRcAK/y87QlI5hGJyaStNQ6yc1GafO42JjWy0vDkRo9NnpDLoJuJQ5roV7f9O7OCtOAYdn/s/cAbD72dDagN2mMOVbT09CJSfAwUMTrF3pI55MsL3GxXgyzFRWZXzf8PknsJxOJ9/61rfYuHHx4agWi0QQ6WjpKtuHCNlmTnR6zpyEnbVg85tRbqXZvb7gTHULgbKtDw5H7UTFGkRRIG0YJFWdWEym/4U4kugllMzylvUtrHGPQ8o1Z+vrDOTD64Nm0i4GeE3tZtEmUDDbrdjNnLJM3DTVOYKQ1s3fsJ9Bw7K5zWu0zaMFyQV/oA4N66B+NST8MwIu2GEmPCdLc8DC5edIzrw+GU7xmyMTXFPycV19G3VN66AtYAbGGEb+uhzlxeKlfJ6VYgM9rw3PTtZVHKbQE6WKibyzt7yoepJw1phjyL/AGnD+EqEt58Pz5Vm2Ubs7X6UlCZkYKxqDrAjYODWqExvNUh9wEZwYyIe+B+cW4V0shmSWKnMEAMq0DqhQSklxoCpeDEnC63ayoaWG8Ck/YXsD7UHf4q0DzFqU5iuWlOazzSdY/uelcfrHE/hd5u8lMirNPicdtQE6GgK8fvtaXhiM0eQxK5XUOuCiNjeo5fUYL25z80J/uOJnp+m4itvIFBHk/HUIdK9oZE/vKJLNyZGYhs2mEE5muX5TO4P9x4loErIucBrxt2xUtbzp7u7mwIEDy90Wi9kIQj5PaBaKA7K6mRwrCGb+Sy5mrjYLOM3Q9tlbaEjAHd1+Hj0wSp3X/P5IOEc4mabL5+LIcIxOr42R0WFYredt2eXDRABOpBWyCScbXLVmO0pMIFWZQOV8aLogmSWVfHUg6abJ6HQ5NmX9cprvyQ7TXOXwQuNmmO6FmvwEbPeYZZAmXwRm+msasxZ+EMxFQp6ByRiirpUXevI1mr8B5j0pCBq7s3wPSTmffyWcYVI8g+ZR1cJgNv42yETN/l4IwRKBZXeafSnlk55LBas7aPa1q8bcCgedroYmhrJRJqdCKJKXoJA0K7KIiw9rL8PmMgVkXmAV+gWomEz9wriGmoUXh7L4nHYOjEQxpE7q1SSN3o45318s+4ciJRaG8mub82wIIhnBxmDMIKvqpHI6U4kc9iY7AYfIybEwP33RNI3/wWWdvHl7PvCnsEVPni1NTrY0OSt+dlokR8XthwAQZUYzAr9+YZTtDTW8fkMD3981wv5Iilavg2s2NhLNaOREB/UeB0P5iitnm6oE1le+8hXe+MY3snnzZm6//XZkeYlq/SuQqkxjsxEEsxRTpXOfmuLiVgdbmj3g7zKd3PaS1a53bgU7MEuu/PZqL7+92hxcx8bjPNkzwXTSoMYF62v9nJpKcnmXO79ZpASKs2wwa0BCCnAiJrPB7jMnc4f5wFRtApVtpsBR7OaeXoH85BFoN7XIM1GItJsPUTJNj3rO3Hok0AyBvJvYka/u3lu+tUuZSClJH+jyGgyOJxGRKMZ5y04zzWDOdc1ad4r5BYBsA8RFlUIqZUm+0QJ1ayAbn1UI9zT4mjGjVnVTq7Xlo/PUTLmPT5TMXMFswoxi1bKg2DmV9uJUJ4ljJ+gSzfG61NrZkmQuOPK/f6Z+2bp2NXt6a7hoRZAXe8dZ29bE7uMqCd3g1/0NvGuJfpjTLSRmPxsF024kmeUne4ep89hYWe/F47Hhskvc82Qfk4ksfodCJEPFfcqWhKt8bJbnYcmcms7ytBphairHussbOTWVpN7jJJzK8u2neumoc+OVJcYiKs2BWbsBnCWq3sBRFEX+5E/+hA996EO0trbidJavbgVBYN++fcvSyAuR2QO3agHmmSuw9vRNE06p7B5KsaXFB01rQE/mJ8HCceYkPztpOITMaETkF4cnCMczBDx2kHwEaiU8DoUtbV7kwRjNzV4I95srWJubFArOfF6SA5mYzc3ark7oazLLBdlPY15YCKJkCiub1/RJNW4EIwP1K5bu5ygg2yGrmhOcfbW5utezpvmmbp25W7M2s1VLQfyHgNj4JF1+c4x3OsFod8EhO8XIlrrVpk9sNo5ZWp8om78rCHMSvBfDknyjBWrzZb4a1i3s+y6/WclE08HXaWqonvq8eVouv092t1kPMx0zzbwOD62NtYypMTwMmDUARQGy6aVdg6Gb+Xf5iMsz9UtpqaqhSAavQ2J9ZzOHBhQ8knNpGitzBebs535OiSwgkdW4fGWQcDLLe65aiZiN8+2nThLPQVxTCNicbF/ZtPxh46cTgJJCVpTRUNBFQJL///bOPD6qKsvjv/tqr2yVnYSEQMIe1iAEZHVQoAVmWhpEWgXEBrtp3GZ6ZJAPIt3i0vRotzgyYjdIuzQwQTogn5bFFlnsVgkoxgUhkJAQQliy76k688et91KVqiSVWlJVyf1+PvXRvNp+vPfqnnvPOfccjEtLwEcXa1Fb0wSVxHD5Vh0mD4hBfWMCvrtVj/F63y9c3PqGqKgoREdHY9AgF2/0HkjrG9dtF05IDKDM5DWOn60LBeIHAuZ67hqRg/ghzlclZjCcz7+CG6XlKCqrgVYtQSUBt2qb0Nukx+WrBlTVNqOqzIj0FGbN3tPAtixPPAyIT4oDeicAZYl8wPKGUVHrebyqppQbAI0OiPNiSzjGWorjyn8zic/y49J4rK66zGlttdKyCvQNaVkN8f/XghssI19dGZ2c89YZjip1S4zENjvQH6RMBGrLeIdmV9Aa+WqXiLtATX1aknya6wEppJVrMIa7HOvLgOpS9I2LQ99wPfDNeasLO8Q+acMdLBYeK9SFd/xaG3IKymDQahGjY/jRsAT8zboB19NEFodi161+963bDcnuS9vixW9/UoQIgxZgdYgN02J47wjfJDM46bChEBqPULMOGosWabE6QBOCmaOiMDNDhwPflGD/BTPuGpaAAfFheP3jWgxLCeAV1tGjR70so/vR+sZ15qpwadVliATU0UBzKcBMTj8b2ggeh9BoWwxWGxlAKuhw+WYV8q5XACAwaFDRzDMMS8rroZMkqNUSGLMAUOFqbTMulDcgEgYYlLRvDY8ZhIZxfWQGIlx0K7WHSsfdgmo9H4jCE+zdnN5ApeGuTktzi8EiCx+AQ2KA6nynbzNo7GscAuDp4E0AmNUd6GQ1DE0r/UxtH2v0JyFR1hqMLsYe1Fp+nZvq+WpSF2atvEH8Hmiqsw/kq1T8vDRUAbXVANVaC/smAA2hPPszrJ0q/K5gMXM9nVx9yL/HkckxGBavbakK4eq5aIPWv+nWv/vWf+//qlg5Lv+mR/brBYt0CwXVDEVldR7pcRuDCTVVDANiw1HVWMUnWtbMx9nDE5GcrENOYQX+/t01VNQ1Qa9ReZ616gIi+NRFOHNVuLTq0hmBsCigrKala29rjBHWGavNbFVrTTe3eyFDCSS8d1ELNUsAA0N6XAQaGxpxs6YJKVFGjBvey9oQLhKo/xaXG8+hjEJgsM0BYnJVBy0QOwAAecewqNR8xq0L4eVsGC/A6XXkMkgqtbVOYTM3LBF9gWunHF5OAK7r+wJxrTLaDJFA000eAzNEOY+htT4vkp5fU9lQ+hNDZEtJJVdQq4HYwTyhIrovj1+ptPwcNtVYK+Q32rumdWHcKNXdBCrqeUzPYOITB0NYywrNXSzmlolHJ7Cv5l7LtXuBjn7THa3AAGBEnxiM6BODospvATDEhnXVBEeufqIFdCHoHWtAvl6D9Fh5FGm5X3MKylBeb8bBb65BJTGU1bbTAsaLuG2wzGYz3nnnHRw4cAAFBQUAgJSUFMyZMwf333+/04aOPZW2VlIuBc5VGh4Ur73uWMlBRhMChPSyd8sZHGNKN6HCDQDhEqHO0oyZQ+KRGheGkUkRSLfpVvpNcQW+KrgOtbYWCVHhqK5RI9LUB9HlF6zfZzUqKhW+rzch90o5BuprMSLFG0ZLy+NYknUl1F4ihbsw1nKu5IFOrQXiBwA/aHET9qnBFgB9esU7ZiFqjQAMjnEqWwytNjNrrY0SJbV1c7Af0RoBi96FZmc2JAwDmhp4ZX15jxiz1kJsrudZapK65TMZ43uzQhOA+mqgoZwbsIYKINTDlHYPkX+Xt/U2YHiCd1bynQ0FhOvV+OziTdw11DFhx25/V5egBaCyegG0SI2NQGp6CtBQy127FotSzWtMSiRyCiswKz0eH35zDX2iPI//uYJbBquiogIzZ87EF198gbCwMKSm8myrw4cPY8+ePdiyZQsOHjyI8PDO+ZW7K23dtC4FziUVn/nX3OSZbG3hUA/OWVxEDQ10iA+x4L5xfTB7GHfjfVtShV2fXsXwJBOG9gpDbv5V1NQ141J9Oe5OMKJP3z6A5pKyNemiWY0LhUBibCW+vg5Umvk+kBEp7icRtEjU8xR5rdE64fPx7FI2iCo137CsiQCartu9RAWgf+Mlx9KMFuvmYKkdja1XWPI2gU5XUvARnTFWjPGajM2NTspg2bham+vsV05qLS9sXHuLF8bVGlsq1XvapdaD9yu/y8JmbrA6uUpzhiuhAFsq65sxqJfz+I9tgohblSw6jZZ3EpCLLBuj+DlRa4EmFb9nrTHKEcmRGNEnCmeLypF/sxbXKuuVvW++xK0rtHbtWuTk5GDz5s24fv06Tp8+jdOnT6O0tBSvvfYaTp06hbVr17olqKGhAatXr0ZiYiIMBgMyMzNx+PBhl967c+dOZGRkQK/XIzY2Fg8//DBu3LjR8Rt9zJiUSMc2Iq4iqYDIJCAmte3guFyOyXYQbLUyuQnAAhXUUGPNrEGYnR7PXVJkQW5RGarqmpBbVAaQBcMTwxFhUCEtMYpXoFBpgZCWGFW5WYMyixFniiowMtmEcKMGGSleajej0liTL6wV3NUeBuU7glnLH0kqICbNoYgqYHWrNtY4PiSJr5Y08mrWSZXe1g02JRXfbKtcHz8lXLhL3ED+cJYsodYDYPy+arbZD8QYdw2a+rS4AxnjM/amWs8endl31Ar5dxlm1OOtL67h7DXvr3hHJJnw0MR+bRqa9sYG2VDt/6rYLlHDZ6h1PHNTUvPC0CFx1sosav6cxmB1v7aMLTkFZSirbYJWLQVu0sXevXuxcuVKrFy50u64RqPBL37xC3z33XfIysrC5s2bO/3ZS5cuRVZWFp544gkMGDAAb731Fu6++258/PHHmDRpUpvv27JlC1auXInp06fj5ZdfRlFREf7whz/g1KlT+Oyzz6DX+76ScFt4lILMmNUlWOI8Cw3gwW210d6X7yTzzAINtJpQpCVxV8y3JVU4W1SOMIMBFsmMYUkmQKXD0CQdr6l2A0BZBTdY4b3A5zcWhIZHwmgwID3ZhKGJ4RiakuB5LML236vRt7QK8TRd3hUkFV8ZhEQB4QmIrspz2A6ApFGO7yu7wvcxhVrdfs7awdhlr0k8QUZrbZio6YJ/m7fRhNj3M7NFcQ1aK+TL1ToAbqRConl1kdoya0kog1dWNfzzO78B2a4CRZ3FrSKyntBR0pXtJmi3J7wdYrOXUKcFoLOGIXpz7wBTgZfRiuLXtqFKGVvOFpWjuLwOkUYNYsN0gZt0cfPmzXZT2gcPHoxbtzqosO2Ezz//HDt37sSmTZuUivCLFy/GsGHD8NRTT+HTTz91+r7GxkY8/fTTmDJlCg4fPgxmPaG333475s6dizfffBOPPvpop/UEDGGxQHUcENpGRhWhxbWjxA4cBwIJErR6reKmOn31Bioa1WhWafDARCe9bHShfGas1vHKEzACsGBgTCQGjhsMRLbdb8dVnP5o5WK4crt4X6PEsQxAZBpuXjmhPKVEoMKTHd4GUy+grsSmsrcTg2W3wlLxf5vs5vRFfM7XaEMcK1vYolIDFusG7Sara1B+rdbIN4LXlPC9WcZI7010PMArm7DdoKP4lqxr+pA4H7oC1VAMlqTnC361jocYJKnltyEnCNlc95yCMhi1aoxMNjitKuIL3Jre9O/fH/v27Wvz+X379iEtLa3Tn5uVlQWVSoUVK1Yox/R6PR5++GH84x//QGFhodP35ebmory8HAsXLlSMFQDMmTMHoaGh2LlzZ6e1BBSRyUDsIL7R0xlOBz77ASUaQKxRh3ijjqcBN9UjI9GAKJ0FGYkG5ZjdAwDUWvxwqwHv/1CPm4y3HEB0f7vK3Z7Qel+K/J08lmVwa+bcaZjNKiCuPyzO5nHmescH0/BYjKzR2QorxHaFZeGDQaCktbsDYx3HvdQ660BHLXveAH6f6kOBqDQgZmD7tey6kI7cdr5CdgfKRXHPFpV3vS7bEmGGCJ7wJE9StTauaycZreF6Nc6VVHZJ7ErGLYO1cuVKHDp0CHfffTcOHTqE/Px85Ofn4+DBg5g9ezYOHz6MVatWdfpzz5w5g4EDBzoka4wbNw4A8OWXXzp9X0MD92O3rrYhHztz5gwszgaTYCEkhsdX2iqho9JYZ0U2A4AzI6Yx8KQCtQ5Q6zA0ORaLJgzA0ORY5ZjDQ6XFt9caUWExoEof29LpWN3akLhfYsjB3SEXIG2j+Ks7yPGA1oMC/z55daoGTH0hsRbX603rg1f8aPXQG3hwWul07CSGZbBNGVfzVO7Wca3uhuwaBLir1dzU8pxKx1ekIbGdS/johsgGqbK+uWtiVM6QrJmBUAH6KL7qDYm17v/Ut8R4AQej1V7CiK9wyzSuXLkSpaWlePHFF3Hw4EG75zQaDZ555hn84he/6PTnXr16FQkJjoOyfKy4uNjp+wYMGADGGE6ePImHHnpIOX7u3Dlcv84zvsrKyhAd7bxZXENDg2L0AKCystLp67yNy+WaVNaSRZq2ZuYuVphWWXv1GJyXjXGgoRqor8Dg5FCcvVaP0NBYXkpOa7Q2G2xyfE8naTO+J7uevLQaadf9Ilnb1EsSEJOM6PBIoKJUiWM1A4DFieFUG3kreHlwJicGyy4VXsVjAe21deguSCqbVjjW/lKSNQNNrQdYg11F856Mv1ySAPjmd7P1OoTHWRtittIhx3hbZWT6Q7fbd8yzzz6LVatW4ciRI3b7sO68807ExLi3v6Kurg46neMAJSdM1NU53/UdExODe++9Fzt27MCQIUNwzz334MqVK3j00Ueh0WjQ1NTU5nsB4IUXXsCGDRvc0uwJLpdrUmv4iqYzxS+dBbNDo/gmZOuqJedyOcrrmtsONjMAjGFwrzAM7pMAVKdYq3sn8dhSg+cGq03UOvugvYd0+ONiEt88qo/hbTQqzrU8BQBqJzq0Rr5pWHZtORuA7VLeVdzd0hVxuUBAreUDHZm5a1A+TypNj19d2dJ60uaVwtmuotaBr7AkwJTCN4dHJNm/pnUcCwAY8049y07i0RQnJiYG9913n7e0wGAw2K10ZOrr65Xn2+KNN95AXV0dfvWrXykJGw888ADS0tLw/vvvIzS07VntmjVr8O///u/K35WVlUhOdhJk9zIuz1BUOqtfuY2BjjFHb5TVKMmrBAuAWLXOWvCV33jhOgmf55XjzqHxzuMv8oqBMW4s4wYDTdU82YA/AaduMG/hxaSEDn9ckgowW7vvRqcBlz9CtO2/zZkWbSigiwTC4qxuQif3mO01Y9Ykkq6IywUKclsXZ1UwBE6RJ7L7vyr2veGSDNZN9Iw31Izqy5OtbJENlhc8Kp7ikcGqqqpCQUEBysrKQE7cIVOmTOnU5yUkJODKlSsOx69evQoASEx00lHWSkREBLKzs3H58mXk5+cjJSUFKSkpuP322xEbGwuTydTme3U6ndOVna9xeYYiSY43UScpA1B2qx4h2gb0buKtMmprqpAeq0FtTRUvrdMas+ybZjx1PjoNoKaWgZkx526wYERJvNABUSngGZE258TZloKQSKA2nF+btuJSGg34z8zCV2lqQ6cbBAY1ktRScNjcEJyZkV2MPJGtbWz2vOdZR+jDgfrrLXFwlcbRDe+wyd1/ewfdTmtftWoV9uzZA7OZ+zWJSMnQk/9ffs5VRo0ahY8//hiVlZV2iRefffaZ8nxH9OnTB3368Gy68vJy5OTk4Cc/+UmndAQdchkjWzdgq2QFC4AmM3Cr0ozeViMTplMh59JNTBsc17bhYZJ1o6c1w4ssNnGZINv02h62+9ci+/LZZq2NwVJS123QhvJHe/upVCrwKvsW3qVXpelZKyygVRUMD9uJ9ABsK1z4PEYkJw4x1nIvt74/5fR2svDnrAasS12XVtwyWMuXL8f+/fvx2GOPYfLkyYiM9M4JnT9/Pn73u99h69atiluvoaEB27dvR2ZmpuKmu3z5MmprazF4cPutJ9asWYPm5mY8+eSTXtEXsKjUADM6jVvJaSYNAG5pDEiMi1SMWVWDGf3jw1HVYHaejafSWNu1WzP29BH8ppVnyc5ckcGKknihAqKSeA3AWpvVfoOT4p4M1n1V7fUVssYH5MKi+siWGnw9CbWeVwfxd8HfIKJLYkQ6E/+NMzVPygLaSB7iz9l2VPZK1+tO4pbBOnToEJ588kn89re/9aqYzMxMLFiwAGvWrEFpaSn69++PHTt2ID8/H3/605+U1y1evBiffPKJnRvyxRdfRG5uLjIzM6FWq/HXv/4Vhw4dwnPPPYexY8d6VWdA0oGrJRFAYkoCYIrimUAAMnob8WVhBUb1NirH7DGDuwPV3BjKZVmUQacbrbCAlsQLQwwQmoibN88CAJphQHz1dcfXN9Zbz3sHCQTy7JQxXvqmu503V2CMr8ybau2PCfyLIYLHxyW1TT1SQu6VCpwuqsSo1ERujORELRsjFTRZgkajEX379vWyFM6f//xnrFu3Dm+//TbKysowYsQIfPDBBx3Gw4YPH469e/di3759MJvNGDFiBHbv3o0FCxb4RGdQojbym1LNVwTpybFIT26nYK1FD2ib+QqLsZaYle0KS6Y7DD5y4oVaw9umFBwCYEEjtM7dfrpwHohuo1mmglptbWei50kvPSmGZYuk4i4lf1epF7SgDudbSFRaq9ubACbhTGE5KuosDqsnWyMVNFmCDzzwgFJP0Nvo9Xps2rQJmzZtavM1zhpIzp49G7Nnz/a6nm6FZF0puZoeL1njLWotAInXkSNLS1DWW3XgAgXbViORfQAWBVAFmC7KeSp6SASfAHTUC0zes6bWtbhYeypqHTfeZO5+908wEhYJ1Jj4PWmM4pMJXQhGJ6uQc6UGo1utnvxhpGxxy2DNnz8fn3zyCWbNmoUVK1YgOTnZaf+rjIwMjwUKPKFV2jlZAEauz/BVWkDV1OIOVOrIyQNNN1hV2cJsVo6RfRAdEQ3UM15H0VnNO0b89Lbuk9UaydpORK3mxlDVwwdqrbH9eoSCrkNtzXCVJOvEi5djGpYah2Gp/hbniFsGy7ZqurPWH+5mCQq8jR6AzYZprbXStm0coT1s9104qwLvxoDjj8wil5FsDLEpCQhN5ANrdD9erqY1jQZAVd32/jgZtc7ajNKaoNGTV1gywlgFBgYj723GJGtFi8Aes90yWNu3b/e2jm5F4AzKWrQYLGvaqroTjeqYxFcGKg2cr6Y6P+j4I7OoUzBruwVjFBCRAGhUQHiS88oM8sqzI/QmXkw4NIbvw+poRSYQdBXGXoD+qk2rl/YNlr/HNrcM1pIlS7yto1sRKIPyBYQgEhUAgEoQigtuIaG3Camu7gNiUos7C+S4UdiNWbJf66a5gjVTMLe0HkU3DDDVq9ErJgR9PflMQzigtTbAC43tefuwBIFLSATfd6jWwpUJqL/HNo+rT169elVJQQ8J8X9vm0AgUAblBpt06woAtY0WXLxegVS3Nm/K6ditDJZcP89F4+XvoG2HSCrA0oQvr1ShoCwC8Y1luHhNhb7NjiXDYHGxSrU+ilcSMTovviwQ+A1dJGAo49mrLvyG/T22uR39zc7OxuDBg5GUlISMjAylGsWNGzcwevRo7N2712sigw1/9ddpjQotE4gwhEGn06NffKS1qGwnHnJLc5W1GK2tS1HTfVxcZ4vK8dY/CpB7pQKj+kSi3JiMm8ZUVOkSefZU6wdZ3Scd/dB1IdzFGCD9nwQChcjeQFgi77XngsHy99jmlsHav38/5s2bh5iYGKxfv95uA29MTAx69+6Nt956y1saBR3QVq+nwaYIRINXu0hDKKaMGIS0Pv1ajIyrD0kFvoFYy//upgHznIIylNWacaawHMN6m7B01ngMGDoCU0YMaCktZPsArJmUHbj49JG8NYze5PN/g0DQKXShQOxAICoVwZD165bB+vWvf40pU6bgxIkT+OUvf+nw/IQJE3DmzBmPxQlcw2nXXoA3C1RQ842B7m5a7aZGypYxKZEwhWgxqg9vwZKeEIl54wZhSO+oNlae1j1qDsVBWxESCYT0Ei5BQWCitU5K5XY+Abyx3a0YVm5uLl5++eU2n4+Pj0dpaanbogSdo02/sq7FYJ2HGee/KUH/RGBgijvf0v0NlhJfa6rnKf2S1FIMVN2G25OxjiuQR6YA9ZVAWG/weoWicaEgAGFSwLv33S7NVFPjpB2FlYsXL7bZ3Vfgfdrt2mvlJtSorjfj+2vVGOjOl/SAFZaCHKOT1IDKYt3s64GRiUgG9BW8QZ6HbWIEgp6MWy7BO+64Azt27EBzs2OWVElJCd58803MmDHDY3ECDzG09GiKgg6GkFAM6NN2T7H26WZ1A9tDXjGptXxTsKfV1eOHADEDAVMfz7UJBL4iCEpluTVt3LhxI8aPH4+xY8diwYIFYIzh4MGD+Pvf/4433ngDRIT169d7W6ugs2haZvMDQ0IwcEwaL4DrDt3dSNli+8OVu7F6gi6Ur3Z70jkUBB9qHdBMAV2JxS2TOmjQIJw4cQLR0dFYt24diAibNm3C888/j+HDh+P48eM+q+Yu6AS27ieNdZXgbsfXnjTYMub92WZPOn+C4ERuAeOJ+9vHuK0sPT0dR44cQVlZGS5cuACLxYLU1FTExvKaa7YdiAV+ItSm/p0kWZMHOqh71y6tNg53Z+QeVoAwNgJBgODxNDIyMhJjx45FZmYmYmNj0djYiK1bt2LQoEHe0CfwBJ1Nxo9OZ90A7MEl70kDd0ep6gKBoMvp1AqrsbER+/btQ15eHiIjIzFnzhwkJvIgfm1tLV577TX8/ve/R0lJCdLS0nwiWNAJdOEt/y95oS27Wm+tOt4DBvMgCEALBD0Nlw1WcXExpk2bhry8PKWyhcFgwL59+6DVavHTn/4UV65cwbhx47B582bMmzfPZ6IFLhJiavl/jReMjKTqlLHyd2Vnj+gJRlkgCDJcNlhr167FpUuX8NRTT2Hy5Mm4dOkSfv3rX2PFihW4ceMG0tPT8c4772Dq1Km+1CvoDCwESoabZO003IUBVX9XdvYIZlvstwe5Ql0kqCcjgqDF5dHr8OHDeOihh/DCCy8ox3r16oUFCxZg9uzZyM7OhuSsZ5DAf+iM4JfYwjfBqnVdunLwd2Vnj5FUrldk72EE9WREELS4bLCuXbuG8ePH2x2T/162bJkwVoGIRgtAB6CZF2DtYgK+lUgHfF1ciS/zr2NUSgyG9+3lbzkBRdBPRgRBicsGy2w2Q6+3T4mW/46IiHD2FoG/MYbw7ECz2rraEnSGU4U1qKoHThXVYHhff6sJLIJ9MiIITjoV0MjPz8fp06eVvysqeDfb8+fPw2QyObw+IyPDM3UCz1CpeXYga2y7eKugTcb0jUJOAROrCIEgQGBk28yqHSRJcroR2NkGYfmY2Wz2jsouprKyEhEREaioqEB4eHjHbwhUmpuA1ycB5iYgYwkw+l4exzJG+VuZQCAQKLg65rq8wtq+fbtXhAm6EMb4XiyytGyE7UmbfwUCQbfCZYO1ZMkSX+oQ+AIm8RWVpTHg+9wIBAJBRwRulUOBdzBEAuYGQCs3cxQrLIFAEJwIg9XdCY0FGuuAsBh/KxEIBAKPEAbLj/i8WgBjQOI4oLEMCEvw/ucLBAJBFyJ2+/oR22oBPiMujXe8NUTwNHeV1nffJRAIBD5EGCw/MiYlEiajxrf7fKJSgOj+fOOwWi+qkAsEgqBFuAT9iM+rBcgdRDUGwBKce+IEAoFARky3ewwiO1AgEAQ3wmD1FMSGYYFAEOQIg9XtYa3+KxAIBMGJMFg9BbHCEggEQY4wWD0GYbAEAkFwIwxWd0deWYkGmwKBIMgRae1OkDuuVFZW+lmJF7CY+UNqBprqeDFcVaO/VQkEAoGCPNZ21O1KGCwnVFVVAQCSk5P9rEQgEAh6DlVVVe12sHe5gWNPwmKxoLi4GGFhYU6bVrpDZWUlkpOTUVhYGJBNIYU+zxD6PEPo84xg10dEqKqqQmJiIqR2whdiheUESZKQlJTkk88ODw8PyBtKRujzDKHPM4Q+zwhmfe2trGREJF4gEAgEQYEwWAKBQCAICoTB6iJ0Oh3Wr18PnU7nbylOEfo8Q+jzDKHPM3qKPpF0IRAIBIKgQKywBAKBQBAUCIMlEAgEgqBAGCyBQCAQBAXCYAkEAoEgKBAGSyAQCARu05V5e8JgeYjFYvG3BIGPEAm0An9SUVHhbwntsmvXLgDwWvk6VxAGy03y8vJQX1+vDGqBNridOXMGly9ftrvpA0VjbW2tvyW0y8WLF1FbW4v6+np/S3HKV199hfPnz6OoqEg5FijXFgCys7OxcuVKXLx4EUDgTer+8pe/ICwsDCdPnvS3FKe8//77mDFjBl555RXk5+f7W44DO3fuRFpaGhYtWoQTJ0506XcLg9VJzp49i+nTp2PGjBkYMmQI7r33Xpw/f75LZxnt8d1332HSpEmYPn06Ro4ciXHjxmHPnj1obm4GY8yvA9u5c+cwZswY/OxnP/ObhvY4e/YsZs+ejblz56Jfv36YNm0aTp48GTDG4OzZs7jrrrswZ84cjBkzBiNHjsSrr76qXNtA4PDhw7jnnnvw9ttv44MPPgCAdouZdiVnzpxBZmYmli1bhtmzZwdczb3i4mLMnj0bixcvhlarhdFohNFo9LcsBfn8LVmyBGFhYdDr9WhoaOhaESToEIvFQkRE+/fvp5iYGJo0aRI988wztHTpUoqJiaEhQ4bQnj17iIjIbDb7Tee1a9do9OjRdPvtt9O2bdto27ZtNH78eDKZTLR+/Xoiavm3dCUWi4WysrJo4MCBxBgjxhgdPXq0y3W0RXNzM7366qsUGxtLU6dOpWeeeYZWrlxJycnJNHjwYL9rbWxspI0bN5LJZKKpU6fS5s2b6S9/+QtNmzaNwsPD6f333/erPqKW+yonJ4eio6PJYDBQZmYmffnll0Tk399FbW0tPfTQQ8QYo6lTp1J2djZdu3bNb3raYv369TRkyBB699136fLly/6Wo1BRUUGLFy8mxhhNmzaNsrOz6cCBA6TX6+l3v/sdEfHfUFcgDFYn+MlPfkIjRoyg3Nxc5djf//53YoxRSkoKXbx4kYj8YxSIiHbu3ElqtZqysrKUY0VFRbRw4UJijNGRI0f8oisvL4+GDRtG0dHR9Nxzz9HQoUNp/Pjx1NTU5Bc9rfnwww8pNTWVli1bRt9//71y/OTJk8QYo9WrV/tV64EDBygjI4OeeOIJ+uGHH5TB4fz588QYo9/+9rd+u+dak5WVRTNmzKD//d//JcYYPf3004pef2hsbm6mjRs3EmOMli9fTtevX2/zWvrzHF6+fJni4+PpscceczhuS1drrKmpoQEDBlBqaipt2bKFCgoKiIjo4sWLFBkZSfPmzevSyYgwWC7yww8/UHx8PD366KPKsYaGBiIiWr58OTHG6J577vGXPCIieumllygiIkK5gRobG4mIz3rHjRtHw4YN88vMsqCggJ5++mlltv0///M/xBijP/7xj12uxRkvv/wyDRkyhEpLS5Vj8rUdP3483XXXXUTkvwHtxIkT9N///d92+oiI9u7dS3FxcbRr1y4i8u+AK3/3Z599RhEREUREdOedd1JCQgIdPnzY7jVdzalTp2jixIk0ePBg5Vh2djYtWbKEnnrqKdq2bZtyvf3FsWPHyGg00g8//EBERH/+859p6NChNHToUPrxj39M7733XpdrkseRTz/9lHJzc5XxRGbs2LE0bdo0qq+v77JrKwyWE6qrqx0uTnV1NYWFhdHPf/5zqq+vJ6KWZfCrr75KkiQRY4z2799PRL51gcif3fomeeWVVygsLIw+/vhjO30Wi4V27dpFOp2Onn/+eafv9bU2+ZwREZ07d45mzJhBSUlJdOPGDZ/ocEWfrcZz587ZPU/Ez9+0adNo0qRJVFdX1+X62uP48eM0bNgwCg8Pp2effZa+/vprKisrs/sMf+jLysqi/v37ExHRmTNniDFGS5YsoVu3brX7Pl/rk1d8//Ef/0EzZswgxhj179+fwsLCiDFG8+bNUzwn/jh/p06dIrVaTXv37qVt27aRJEk0f/58WrJkCcXFxRFjjLZv3+4zXR3ps8VisZDZbKZf/vKXFBERodx3XWG0hMGyobGxkZ588kmaOHEizZw5kzZv3qysSBobG2nRokWUlJSkrBRkFi1aRGPGjKHY2Fi64447fKpv48aNDisT+UY5fPgw6XQ6evbZZ5Vj8g1YUlJC9957L8XGxvpkNtmWtrbYtWsXGQwGeuqpp7yuxRmd1ScbtNGjR9PChQuVY/7UJ1/L1atXE2OM7rjjDlqyZAk9/PDDZDKZ6L777vObPvncfP755xQWFkbFxcVERPTwww+TTqdTVgg1NTVdqk/WVVBQQPPnzyfGGP3Lv/wLffjhh1RQUEBXrlyh3/zmNyRJEi1YsMAn2trTJ3Pq1CmKiYmhBx54gEaOHEnr1q2jqqoqIiI6e/YszZw5k6Kjo+m7777ziz5nrFu3jhhjtG/fPp9ocoYwWFYuXLhAt912G6WkpNDixYspMzOTdDod3XbbbYof+aOPPqLo6GiaPHky7dixg7799lv6r//6LzIajXTw4EGaMWMGxcbGUk5Ojtf1HTt2jNLT04kxRjNmzKBvv/2WiBwH0YyMDBo9ejR9/fXXDs+/++67pFaracuWLU7f62tttsdKS0tp2bJlpNfrlZmtrwxCZ/TZUlhYSCEhIfTCCy8Qke8Cy67qk//eu3cv7dq1i27cuKEcW7NmDUmSRJs2bSIi764SOnP+du/eTQMHDlQmepWVlWQ0GumOO+6ghx56iB588EHFmHW1vnfffZeWLl1KJ0+edHju/vvvp4iICGXw9ea96Kq+iRMnkiRJFBMTQ59++qndc4cOHaKoqCh6/PHHich/19f2u48fP06MMdq9e3e7r/cmwmBZ2bJlC0VHR9Pf/vY3ZQXyzjvvUHR0NM2dO5fy8vKIiCc2mEwmUqlUpFarqVevXooB2LVrFzHG7JIyvME//vEPGjx4MPXt25cWLFhAjDF66aWX7ILH8mCanZ1NjDF67rnnFDeW/Ny5c+coKSmJVqxY4bUb3hVtbfHRRx9R7969fRr780TfsWPHiDFGBw8eDAh97Q0I58+fp/79+9PIkSPt3K9dpU/Wdvz4cTIajVRYWKg8t2jRIlKpVKTRaGj9+vVUXV3dpfpkbRUVFQ5xQPl1//znP4kxZued6Cp98u/zww8/VLJo5ZWUPBaVlpbSrFmzKDk52S/X1xm5ubkUGRmpxPWFweoiGhsb6b777qPhw4c7XKgdO3YQY4zWrFmjuDPOnz9P77//Pu3atYuuXr2q3HCywTpx4oRX9X377bek0+no//7v/4iIaPLkyTRgwAA6efKk09fffffdlJiYqMTTbFcG6enptHjxYiLyzg3WWW2231tdXa24FT766CMiIvrkk08oOzvbr/pkXn/9dVKr1Yprprm5mfLy8ujUqVMBoY/IfqY9YcIEGj9+vFcHtNb6pkyZ0q6+nTt30qBBg6i8vJw+/vhjmjRpEqlUKgoPD6f+/fvT8ePHich7g5u756+1y/z69etkMpm87qLurL7777+fGGP0yCOPEBHZjUfz58+noUOHUkVFhd/02VJaWkopKSk0ffp0qqys9Jqm9ujxBku+cRcuXEjp6enU1NTkkHAxe/Zsio6Opg8++KDdz1q1ahVFRUVRUVGR1/TJxsZ2ZijP/B977DHl5rUduAoKCig0NJTGjx9Pp0+fVo7/85//pPDwcNqwYUOXanM2OMl6v//+e8rIyKDhw4fThg0bKDk5maKjo72SzeiJPiKiuXPn0u23305E3D34zjvv0OjRoykjI4Nu3rzpV32tV8gHDx4kjUZDTzzxhMe63NEna/zoo49Iq9XSnDlzSKVS0cSJE+nYsWO0e/duZSD2VgzVm+fv9ddfJ8YYvfnmm17R1hl9tloKCwspPDzcYWX/zTffUFpaGj3wwANeM/beOH/z5s2j9PR0qq6uFissb7Nz50565JFH6MUXX6Rjx47ZPfeHP/yBJElS/LfNzc3KRbl06RIxxmjFihVOL+L169dpz5491LdvX1q3bp3X9dl+l6xpyZIlZDKZ6K9//avdZ8g34VtvvUV9+vShfv360auvvkp//OMfae7cuZScnExnz571izZnFBQU0NKlSxVXyL/927/ZuZP8oc9isVBVVRUlJCTQfffdR0eOHKF//dd/JcYYzZo1y60Jia/OX3FxMe3fv5+mTp1KQ4cOVWKX/tJ38uRJGjFiBA0ZMoRee+01KiwsVO7JiRMn0vLly90yWL46fyUlJbR3714aMWIETZ061e2sVW/+dnfu3EkJCQkUFRVFy5cvp+eff55+9KMfUWRkpNvuaV+cP4vFQs899xwxxpQsW18brR5hsEpKSmjmzJkUEhJCGRkZFBkZSTqdjtavX6+k2x44cIDi4uLowQcftHuvfBF/9rOfUe/eve02lhYXF9MLL7xACxcupIiICJo6daqyedhb+uSU0dabL4uKiig0NJTmzZunDPBms9nuhjl69ChNnDiRIiIiKDo6mkaMGNFpd6U3tbXm+PHjNGvWLJIkiUaPHu2yG6wr9F24cIGMRiNlZGRQaGgoDRo0SHFbBoK+o0eP0vLly2n+/PkUFhZGI0eOpC+++MJv+mTXVWNjIx07doy+/vprxTDJ73Nna4Avz9/Pf/5zWrRoEYWGhlJGRoZD9m9X67P97Z48eZJmzpxJJpOJ4uLiaPTo0Q6T7K7W54xXXnmFGGN2xQp8SY8wWDt27KCoqCh69913qbi4mG7evElLly5V9lUR8fIt8+fPp9jYWOXGsI39HDt2jCRJspt15Obm0oMPPkgTJkygN954wyf6Vq5c6fB6+cbauHEjSZJEW7dutbvZbf+/rq6Orl275tZg5gttthw5coS0Wi299tprbmnzpT65gklcXFxA6tu/fz/179+fpk2bRtu2bQsofd6cZfvq/GVlZVFoaChlZmZ65Ab05W+3oaGBysrK6KuvvgoYfTKyAbt69Sq99dZbbuvrLD3CYE2dOpXGjx9vd6ympoaWLFlCjDElyJ+dnU1JSUl05513Kq+TjdY333xD4eHhtHHjRrvPuXr1qscZdx3pO3DgABE5znIaGxspLS2NMjMzlR3yeXl5dj7pQNZG5HmquLf12cbO3njjDYd4ZiDpy8vLC6jre+HCBYfr6ym+PH9fffVVwN1/3vzt+lqfPyqXdGuDZTabqb6+nmbOnEkTJ05Ujsvui5ycHBozZgz169dPee4///M/SaVSORimnJwcYowpGyC9cbFc1Zeamurwfa3T2FevXk3bt2+njIwMeuyxxzzeoBnI2nytzxsZT77U5420cF/qq62tDWh9gX7+Av334avN367QbQzWd999R48//jg9+uijtHbtWmVWQET04x//mAYNGqQEpG1nE1u3biXGmFJ1+MKFC0pl4g0bNtDZs2cpJyeHfvrTn9LQoUPp/PnzftH3yiuvEJHjiqSpqYnGjh1LKpWKGGOUkJBAH374YbfRJvQJfUJfcOvzJkFvsBoaGuhXv/oVGQwGuu2222jAgAHEGKPU1FRlb0FWVhYxxmjbtm3KBZMvTn5+Pk2fPp369eun7F+5ceMGrVixgkJDQykkJIR69+5N4eHhbvlqvamvdRD79OnTtHbtWgoNDaWwsDD6/e9/3220CX1Cn9AX3Pp8QVAbrKqqKnr66acpNTWVXnrpJTp37hyZzWY6cuQIJSYm0uTJk6m2tpaam5tp5MiRNGXKFMrPz3f4nGeffZZMJpOy0ZaIz0Q+/fRTevPNN2nz5s3K5lF/6pP9zUT8xlq1apVSXLSz+gJZm9An9Al9wa3PVwS1wbp06RL169ePHnnkESovL7d77pFHHqHY2FilKsHbb79NjDF6+eWXFR+sPKs4c+YMSZJEe/fuJSLv1YzzlT7ZD/35558r+8a6kzahT+gT+oJbn68IaoNlsVho69atdsfkrK7du3eTWq1WanKVl5fTvHnzqFevXg4b4j7//HNijNGOHTt6jL5A1ib0CX1CX3Dr8xVBbbCIWmYErVdFmzZtIpVKZbfRt7CwkOLj4yk9PV0JHl65coVWrVpFKSkpVFJS0qP0BbI2oU/oE/qCW58vCHqD1Ro5sPj4449Tr169lFmHfFEPHjxIGRkZxBijUaNG0YQJE0ij0dCGDRuoubnZ53sLAllfIGsT+oQ+oS+49XkDRkSEbshtt92Gvn37IisrC2azGSqVSnnuxo0b+NOf/oS8vDxUVlbi8ccfx4QJE4S+INAm9Al9Ql9w6/MIf1tMX1BaWkoGg0FpZkfEZx9y3UB/E8j6AlkbkdDnKUKfZwh9/kXyt8H0Bbm5uaivr8fYsWMBACUlJXjvvfcwc+ZMXL9+3c/qAltfIGsDhD5PEfo8Q+jzL93KYJHVu/nFF18gIiICiYmJOHr0KFauXIlly5aBiCBJkvI6oS84tAl9Qp/QF9z6vEYXreS6lHnz5lFaWhotX76cwsLCaMCAAXTo0CF/y1IIZH2BrI1I6PMUoc8zhD7/0u0MVl1dHY0aNYoYYxQeHq7UyQoUAllfIGsjEvo8RejzDKHP/3TLLMHVq1eDMYYNGzZAp9P5W44DgawvkLUBQp+nCH2eIfT5l25psCwWCyQpcMNzgawvkLUBQp+nCH2eIfT5l25psAQCgUDQ/ei+plggEAgE3QphsAQCgUAQFAiDJRAIBIKgQBgsgUAgEAQFwmAJBAKBICgQBksgEAgEQYEwWAKBQCAICoTBEggEAkFQIAyWQCAQCIICYbAEAoFAEBQIgyUQCASCoOD/AfDf+0dO0SMkAAAAAElFTkSuQmCC\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -469,25 +93285,28 @@
    ],
    "source": [
     "# Plot Monte Carlo realizations of soiling profiles\n",
-    "fig = rdtools.plotting.soiling_monte_carlo_plot(soiling_info, daily, profiles=200);"
+    "fig = rdtools.plotting.soiling_monte_carlo_plot(soiling_info, daily, profiles=200)\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:225: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:233: UserWarning:\n",
+      "\n",
+      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -499,12 +93318,13 @@
    "source": [
     "# Plot the slopes for \"valid\" soiling intervals identified,\n",
     "# assuming perfect cleaning events\n",
-    "fig = rdtools.plotting.soiling_interval_plot(soiling_info, daily);"
+    "fig = rdtools.plotting.soiling_interval_plot(soiling_info, daily)\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -542,62 +93362,62 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2008-11-13 00:00:00+09:30</td>\n",
-       "      <td>2009-01-31 00:00:00+09:30</td>\n",
-       "      <td>-0.000347</td>\n",
-       "      <td>-0.000637</td>\n",
-       "      <td>-0.000037</td>\n",
-       "      <td>1.003580</td>\n",
-       "      <td>0.976134</td>\n",
-       "      <td>79</td>\n",
-       "      <td>True</td>\n",
+       "      <td>2010-02-25 00:00:00-07:00</td>\n",
+       "      <td>2010-03-03 00:00:00-07:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.756022</td>\n",
+       "      <td>0.756022</td>\n",
+       "      <td>6</td>\n",
+       "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2009-02-01 00:00:00+09:30</td>\n",
-       "      <td>2009-03-22 00:00:00+09:30</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.970406</td>\n",
-       "      <td>1.007741</td>\n",
-       "      <td>49</td>\n",
+       "      <td>2010-03-04 00:00:00-07:00</td>\n",
+       "      <td>2010-03-04 00:00:00-07:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.793434</td>\n",
+       "      <td>0.793434</td>\n",
+       "      <td>0</td>\n",
        "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2009-03-23 00:00:00+09:30</td>\n",
-       "      <td>2009-03-23 00:00:00+09:30</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.991140</td>\n",
-       "      <td>0.991140</td>\n",
+       "      <td>2010-03-05 00:00:00-07:00</td>\n",
+       "      <td>2010-03-05 00:00:00-07:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.819566</td>\n",
+       "      <td>0.819566</td>\n",
        "      <td>0</td>\n",
        "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2009-03-24 00:00:00+09:30</td>\n",
-       "      <td>2009-04-08 00:00:00+09:30</td>\n",
-       "      <td>-0.001981</td>\n",
-       "      <td>-0.003316</td>\n",
-       "      <td>-0.000614</td>\n",
-       "      <td>1.045116</td>\n",
-       "      <td>1.015397</td>\n",
-       "      <td>15</td>\n",
-       "      <td>True</td>\n",
+       "      <td>2010-03-06 00:00:00-07:00</td>\n",
+       "      <td>2010-03-07 00:00:00-07:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.053380</td>\n",
+       "      <td>1.053380</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2009-04-09 00:00:00+09:30</td>\n",
-       "      <td>2009-04-22 00:00:00+09:30</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.008723</td>\n",
-       "      <td>1.037279</td>\n",
-       "      <td>13</td>\n",
+       "      <td>2010-03-08 00:00:00-07:00</td>\n",
+       "      <td>2010-03-09 00:00:00-07:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.033119</td>\n",
+       "      <td>1.033119</td>\n",
+       "      <td>1</td>\n",
        "      <td>False</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -606,28 +93426,28 @@
       ],
       "text/plain": [
        "                      start                       end  soiling_rate  \\\n",
-       "0 2008-11-13 00:00:00+09:30 2009-01-31 00:00:00+09:30     -0.000347   \n",
-       "1 2009-02-01 00:00:00+09:30 2009-03-22 00:00:00+09:30      0.000000   \n",
-       "2 2009-03-23 00:00:00+09:30 2009-03-23 00:00:00+09:30      0.000000   \n",
-       "3 2009-03-24 00:00:00+09:30 2009-04-08 00:00:00+09:30     -0.001981   \n",
-       "4 2009-04-09 00:00:00+09:30 2009-04-22 00:00:00+09:30      0.000000   \n",
+       "0 2010-02-25 00:00:00-07:00 2010-03-03 00:00:00-07:00           0.0   \n",
+       "1 2010-03-04 00:00:00-07:00 2010-03-04 00:00:00-07:00           0.0   \n",
+       "2 2010-03-05 00:00:00-07:00 2010-03-05 00:00:00-07:00           0.0   \n",
+       "3 2010-03-06 00:00:00-07:00 2010-03-07 00:00:00-07:00           0.0   \n",
+       "4 2010-03-08 00:00:00-07:00 2010-03-09 00:00:00-07:00           0.0   \n",
        "\n",
        "   soiling_rate_low  soiling_rate_high  inferred_start_loss  \\\n",
-       "0         -0.000637          -0.000037             1.003580   \n",
-       "1          0.000000           0.000000             0.970406   \n",
-       "2          0.000000           0.000000             0.991140   \n",
-       "3         -0.003316          -0.000614             1.045116   \n",
-       "4          0.000000           0.000000             1.008723   \n",
+       "0               0.0                0.0             0.756022   \n",
+       "1               0.0                0.0             0.793434   \n",
+       "2               0.0                0.0             0.819566   \n",
+       "3               0.0                0.0             1.053380   \n",
+       "4               0.0                0.0             1.033119   \n",
        "\n",
        "   inferred_end_loss  length  valid  \n",
-       "0           0.976134      79   True  \n",
-       "1           1.007741      49  False  \n",
-       "2           0.991140       0  False  \n",
-       "3           1.015397      15   True  \n",
-       "4           1.037279      13  False  "
+       "0           0.756022       6  False  \n",
+       "1           0.793434       0  False  \n",
+       "2           0.819566       0  False  \n",
+       "3           1.053380       1  False  \n",
+       "4           1.033119       1  False  "
       ]
      },
-     "execution_count": 15,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -640,20 +93460,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:265: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:273: UserWarning:\n",
+      "\n",
+      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -664,197 +93486,557 @@
    ],
    "source": [
     "# View a histogram of the valid soiling rates found for the data set\n",
-    "fig = rdtools.plotting.soiling_rate_histogram(soiling_info, bins=15)"
+    "fig = rdtools.plotting.soiling_rate_histogram(soiling_info, bins=50)\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "heading_collapsed": true
-   },
+   "metadata": {},
    "source": [
-    "## Clear sky workflow\n",
-    "The clear sky workflow is useful in that it avoids problems due to drift or recalibration of ground-based sensors. We use `pvlib` to model the clear sky irradiance. This is renormalized to align it with ground-based measurements. Finally we use `rdtools.get_clearsky_tamb()` to model the ambient temperature on clear sky days. This modeled ambient temperature is used to model cell temperature with `pvlib`. If high quality amabient temperature data is available, that can be used instead of the modeled ambient; we proceed with the modeled ambient temperature here for illustrative purposes.\n",
-    "\n",
-    "In this example, note that we have omitted wind data in the cell temperature calculations for illustrative purposes. Wind data can also be included when the data source is trusted for improved results\n",
-    "\n",
-    "**Note that the claculations below rely on some objects from the steps above**"
+    "These plots show generally good results from the SRR method. In this example, we have slightly overestimated the soiling loss because we used the default behavior of the `method` key word argument in `rdtools.soiling_srr()`, which does not assume that every cleaning is perfect but the example artificial soiling signal did include perfect cleaning. We encourage you to adjust the options of `rdtools.soiling_srr()` for your application."
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 24,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>month</th>\n",
+       "      <th>soiling_rate_median</th>\n",
+       "      <th>soiling_rate_low</th>\n",
+       "      <th>soiling_rate_high</th>\n",
+       "      <th>interval_count</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>-0.001184</td>\n",
+       "      <td>-0.002336</td>\n",
+       "      <td>-0.000875</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>-0.001488</td>\n",
+       "      <td>-0.002649</td>\n",
+       "      <td>-0.000902</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>-0.001307</td>\n",
+       "      <td>-0.002049</td>\n",
+       "      <td>-0.000620</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>-0.001114</td>\n",
+       "      <td>-0.001764</td>\n",
+       "      <td>-0.000443</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>-0.000683</td>\n",
+       "      <td>-0.001163</td>\n",
+       "      <td>-0.000407</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>-0.000806</td>\n",
+       "      <td>-0.001124</td>\n",
+       "      <td>-0.000525</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7</td>\n",
+       "      <td>-0.000804</td>\n",
+       "      <td>-0.001550</td>\n",
+       "      <td>-0.000480</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>-0.000859</td>\n",
+       "      <td>-0.001907</td>\n",
+       "      <td>-0.000442</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>-0.000730</td>\n",
+       "      <td>-0.001841</td>\n",
+       "      <td>-0.000441</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>-0.000779</td>\n",
+       "      <td>-0.001611</td>\n",
+       "      <td>-0.000480</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>-0.001067</td>\n",
+       "      <td>-0.002377</td>\n",
+       "      <td>-0.000592</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>-0.001374</td>\n",
+       "      <td>-0.002965</td>\n",
+       "      <td>-0.000804</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    month  soiling_rate_median  soiling_rate_low  soiling_rate_high  \\\n",
+       "0       1            -0.001184         -0.002336          -0.000875   \n",
+       "1       2            -0.001488         -0.002649          -0.000902   \n",
+       "2       3            -0.001307         -0.002049          -0.000620   \n",
+       "3       4            -0.001114         -0.001764          -0.000443   \n",
+       "4       5            -0.000683         -0.001163          -0.000407   \n",
+       "5       6            -0.000806         -0.001124          -0.000525   \n",
+       "6       7            -0.000804         -0.001550          -0.000480   \n",
+       "7       8            -0.000859         -0.001907          -0.000442   \n",
+       "8       9            -0.000730         -0.001841          -0.000441   \n",
+       "9      10            -0.000779         -0.001611          -0.000480   \n",
+       "10     11            -0.001067         -0.002377          -0.000592   \n",
+       "11     12            -0.001374         -0.002965          -0.000804   \n",
+       "\n",
+       "    interval_count  \n",
+       "0                8  \n",
+       "1                7  \n",
+       "2                8  \n",
+       "3                9  \n",
+       "4                6  \n",
+       "5                7  \n",
+       "6                8  \n",
+       "7               11  \n",
+       "8                9  \n",
+       "9               10  \n",
+       "10               9  \n",
+       "11               8  "
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "## Clear Sky 0: Preliminary Calculations"
+    "# Calculate and view a monthly soiling rate summary\n",
+    "from rdtools.soiling import monthly_soiling_rates\n",
+    "monthly_soiling_rates(soiling_info['soiling_interval_summary'],\n",
+    "                      confidence_level=cl)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>soiling_ratio_median</th>\n",
+       "      <th>soiling_ratio_low</th>\n",
+       "      <th>soiling_ratio_high</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2010</td>\n",
+       "      <td>0.962952</td>\n",
+       "      <td>0.954986</td>\n",
+       "      <td>0.969507</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>0.957442</td>\n",
+       "      <td>0.951042</td>\n",
+       "      <td>0.962425</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>0.950871</td>\n",
+       "      <td>0.943630</td>\n",
+       "      <td>0.956604</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>0.948067</td>\n",
+       "      <td>0.938270</td>\n",
+       "      <td>0.956403</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>0.934236</td>\n",
+       "      <td>0.915437</td>\n",
+       "      <td>0.947448</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2015</td>\n",
+       "      <td>0.959483</td>\n",
+       "      <td>0.945367</td>\n",
+       "      <td>0.967091</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>0.966123</td>\n",
+       "      <td>0.961269</td>\n",
+       "      <td>0.970014</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year  soiling_ratio_median  soiling_ratio_low  soiling_ratio_high\n",
+       "0  2010              0.962952           0.954986            0.969507\n",
+       "1  2011              0.957442           0.951042            0.962425\n",
+       "2  2012              0.950871           0.943630            0.956604\n",
+       "3  2013              0.948067           0.938270            0.956403\n",
+       "4  2014              0.934236           0.915437            0.947448\n",
+       "5  2015              0.959483           0.945367            0.967091\n",
+       "6  2016              0.966123           0.961269            0.970014"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Calculate the clear sky POA irradiance\n",
-    "# Note: an earlier version of this notebook modeled clear-sky POA irradiance as\n",
-    "# instantaneous values rather than interval averages.  See https://github.com/NREL/rdtools/issues/243\n",
-    "times = pd.date_range(df.index.min(), df.index.max(), freq='1min')\n",
-    "sun1min = loc.get_solarposition(times)\n",
-    "clearsky = loc.get_clearsky(times, solar_position=sun1min)\n",
-    "# Note: An earlier version of this notebook used pvlib<0.6. In pvlib 0.6, the default \n",
-    "# behavior of get_clearsky() changed, which affects the results of this example notebook.\n",
-    "# More details: https://github.com/pvlib/pvlib-python/issues/435\n",
-    "cs_sky = pvlib.irradiance.isotropic(meta['tilt'], clearsky.dhi)\n",
-    "cs_beam = pvlib.irradiance.beam_component(meta['tilt'], meta['azimuth'], sun1min.zenith, sun1min.azimuth, clearsky.dni)\n",
-    "cs_total = cs_beam + cs_sky\n",
-    "# aggregate 1-minute model to the resolution of the measured data:\n",
-    "df['clearsky_poa'] = cs_total.resample(freq, label='right').mean()\n",
-    "\n",
-    "# Renormalize the clear sky POA irradiance\n",
-    "df['clearsky_poa'] = rdtools.irradiance_rescale(df.poa, df.clearsky_poa, method='iterative')\n",
+    "# Calculate and view annual insolation-weighted soiling ratios and their confidence\n",
+    "# intervals based on the Monte Carlo simulation. Note that these losses include the\n",
+    "# assumptions of the cleaning assumptions associated with the method parameter\n",
+    "# of rdtools.soiling_srr(). For anything but 'perfect_clean', each year's soiling\n",
+    "# ratio may be impacted by prior years' soiling profiles. The default behavior of\n",
+    "# rdtools.soiling_srr uses method='half_norm_clean'\n",
     "\n",
-    "# Calculate the clearsky temperature\n",
-    "df['clearsky_Tamb'] = rdtools.get_clearsky_tamb(df.index, meta['latitude'], meta['longitude'])\n",
-    "df['clearsky_Tcell'] = pvlib.temperature.sapm_cell(df.clearsky_poa, df.clearsky_Tamb, 0, **meta['temp_model_params'])"
+    "from rdtools.soiling import annual_soiling_ratios\n",
+    "annual_soiling_ratios(soiling_info['stochastic_soiling_profiles'],\n",
+    "                      daily_insolation,\n",
+    "                      confidence_level=cl)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Clear Sky 1: Normalize\n",
-    "Normalize as in step 1 above, but this time using clearsky modeled irradiance and cell temperature"
+    "## CODS\n",
+    "\n",
+    "This section gives an introduction to the <b>Combined Degradation and Soiling (CODS)</b> algorithm workflow. For more information about CODS, we refer to [1] and [2].\n",
+    "\n",
+    "CODS can be run in two ways - either by setting up an instance of `rdtools.soiling.CODSAnalysis` and running the method `run_bootstrap`, or by directly running `rdtools.soiling.soiling_cods`. Here we will show how to do the first option, as this makes more information available, and since the second option is more straightforward. We start by setting up an instance of `rdtools.soiling.CODSAnalysis`\n",
+    "\n",
+    "[1]  Skomedal, Å. and Deceglie, M. G. IEEE J. of Photovoltaics, Sept. 2020\n",
+    "[2]  Skomedal, Å., Deceglie, M. G., Haug, H., and Marstein, E. S., Proceedings of the 37th European Photovoltaic Solar Energy Conference and Exhibition, Sept. 2020\n",
+    "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
-    "clearsky_pvwatts_kws = {\"poa_global\" : df.clearsky_poa,\n",
-    "              \"power_dc_rated\" : meta['power_dc_rated'],\n",
-    "              \"temperature_cell\" :df.clearsky_Tcell,\n",
-    "              \"poa_global_ref\" : 1000,\n",
-    "              \"temperature_cell_ref\": 25,\n",
-    "              \"gamma_pdc\" : meta['gamma_pdc']}\n",
-    "\n",
-    "clearsky_normalized, clearsky_insolation = rdtools.normalize_with_pvwatts(df.energy, clearsky_pvwatts_kws)\n",
-    "\n",
-    "df['clearsky_normalized'] = clearsky_normalized\n",
-    "df['clearsky_insolation'] = clearsky_insolation"
+    "from rdtools.soiling import CODSAnalysis\n",
+    "np.random.seed(0) # improves consistency with other notebook when using a low number of monte carlo reps\n",
+    "CODS = CODSAnalysis(daily_filtered)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Clear Sky 2: Filter\n",
-    "Filter as in step 2 above, but with the addition of a clear sky index (csi) filter so we consider only points well modeled by the clear sky irradiance model."
+    "We continue to run `run_bootstrap`. The parameter `reps` decides how many repetitions of the bootstrapping procedure should be performed. `reps` needs to be a multiple of 16, and the minimum is 16. However, to give real confidence intervals, we recommend running it with 512 repetitions. In this case we use 16 to to avoid overly much time use. The parameter `verbose` decides whether to output information about the process during the calculation. `bootstrap_seed=42` ensures the same results from the bootstrap sampling each time, used here only for notebook testing."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Perform clearsky filter\n",
-    "cs_normalized_mask = rdtools.normalized_filter(df['clearsky_normalized'])\n",
-    "cs_poa_mask = rdtools.poa_filter(df['clearsky_poa'])\n",
-    "cs_tcell_mask = rdtools.tcell_filter(df['clearsky_Tcell'])\n",
-    "\n",
-    "csi_mask = rdtools.csi_filter(df.insolation, df.clearsky_insolation)\n",
-    "\n",
-    "\n",
-    "clearsky_filtered = df[cs_normalized_mask & cs_poa_mask & cs_tcell_mask & clip_mask & csi_mask]\n",
-    "clearsky_filtered = clearsky_filtered[['clearsky_insolation', 'clearsky_normalized']]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 3: Aggregate\n",
-    "Aggregate the clear sky version of of the filtered data "
+    "results_df, degradation, soiling_loss = CODS.run_bootstrap(reps=16, bootstrap_seed=42)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>soiling_ratio</th>\n",
+       "      <th>soiling_rates</th>\n",
+       "      <th>cleaning_events</th>\n",
+       "      <th>seasonal_component</th>\n",
+       "      <th>degradation_trend</th>\n",
+       "      <th>total_model</th>\n",
+       "      <th>residuals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2010-02-25 00:00:00-07:00</th>\n",
+       "      <td>0.632635</td>\n",
+       "      <td>0.024614</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.999650</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.547342</td>\n",
+       "      <td>0.963029</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-26 00:00:00-07:00</th>\n",
+       "      <td>0.657248</td>\n",
+       "      <td>0.024612</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.999475</td>\n",
+       "      <td>0.999993</td>\n",
+       "      <td>0.568532</td>\n",
+       "      <td>0.889424</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-27 00:00:00-07:00</th>\n",
+       "      <td>0.681860</td>\n",
+       "      <td>0.024611</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.999299</td>\n",
+       "      <td>0.999986</td>\n",
+       "      <td>0.589713</td>\n",
+       "      <td>0.934689</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-02-28 00:00:00-07:00</th>\n",
+       "      <td>0.706470</td>\n",
+       "      <td>0.024609</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.999122</td>\n",
+       "      <td>0.999978</td>\n",
+       "      <td>0.610885</td>\n",
+       "      <td>0.945476</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-03-01 00:00:00-07:00</th>\n",
+       "      <td>0.731079</td>\n",
+       "      <td>0.024608</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.998944</td>\n",
+       "      <td>0.999971</td>\n",
+       "      <td>0.632047</td>\n",
+       "      <td>0.857710</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           soiling_ratio  soiling_rates  cleaning_events  \\\n",
+       "2010-02-25 00:00:00-07:00       0.632635       0.024614             True   \n",
+       "2010-02-26 00:00:00-07:00       0.657248       0.024612            False   \n",
+       "2010-02-27 00:00:00-07:00       0.681860       0.024611            False   \n",
+       "2010-02-28 00:00:00-07:00       0.706470       0.024609            False   \n",
+       "2010-03-01 00:00:00-07:00       0.731079       0.024608            False   \n",
+       "\n",
+       "                           seasonal_component  degradation_trend  total_model  \\\n",
+       "2010-02-25 00:00:00-07:00            0.999650           1.000000     0.547342   \n",
+       "2010-02-26 00:00:00-07:00            0.999475           0.999993     0.568532   \n",
+       "2010-02-27 00:00:00-07:00            0.999299           0.999986     0.589713   \n",
+       "2010-02-28 00:00:00-07:00            0.999122           0.999978     0.610885   \n",
+       "2010-03-01 00:00:00-07:00            0.998944           0.999971     0.632047   \n",
+       "\n",
+       "                           residuals  \n",
+       "2010-02-25 00:00:00-07:00   0.963029  \n",
+       "2010-02-26 00:00:00-07:00   0.889424  \n",
+       "2010-02-27 00:00:00-07:00   0.934689  \n",
+       "2010-02-28 00:00:00-07:00   0.945476  \n",
+       "2010-03-01 00:00:00-07:00   0.857710  "
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "clearsky_daily = rdtools.aggregation_insol(clearsky_filtered.clearsky_normalized, clearsky_filtered.clearsky_insolation)"
+    "df_out, CODS_results_dict = \\\n",
+    "    CODS.iterative_signal_decomposition()\n",
+    "df_out.head()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Clear Sky 4: Degradation Calculation\n",
-    "Estimate the degradation rate and compare to the results obtained with sensors. In this case, we see that irradiance sensor drift may have biased the sensor-based results, a problem that is corrected by the clear sky approach."
+    "Visualize the results"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The P95 exceedance level with the clear sky analysis is -0.22%/yr\n"
+      "Avg. Soiling loss 6.128 (4.569, 6.238) (%)\n",
+      "Degradation rate -0.181 (-0.371, -0.027) (%)\n"
      ]
-    },
-    {
-     "data": {
-      "image/png": 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sGGw2G66//nqMHTsWQUFBUKlUOHz4ML777jufwg9RUVFeBtHq1au9DO6pU6di3LhxUKvV+OmnnzBnzhysXLkSzz//PAAgMDAQU6dOxbx58xAQEOBx7ZkzZ1BYWIhu3bp55BJVxyOPPILPPvsMH330Efr37w+z2YwlS5YgKioK48ePr1f73CHnkFRHdHQ0AJIHGZMnT8aqVavQsmVL3HLLLYiOjnbmc7399tteY/fVV1/hjTfewLJly5z5NgaDARMnTsSbb77pfLY8l5988kmN/QZccym3qa621weNuZfc3s2bN2Pz5s11tre0tLTWZ9R0vLY2AA1fz43p64ULF9CnTx8UFRUhKSkJw4cPR3BwMNRqNVJTU7FkyZLLrjknt6tp06Y+P5ePFxcXe30WEhLi8xqNRuNB+uuDmsZZnu/58+fXer083y1atMC+ffswe/ZsbNiwAd9++y0Akr1nnnkGjz/+eIPadSXw1ltvoWXLlli0aBFef/11vP7669BoNBg1ahT+/e9/o3Xr1le9TQoUKKgdCrFSoEBBrRg4cCB++ukn/Pjjj7jvvvsu617yTuuTTz6J//znP/W65l//+heqqqqwdetWD5UyAJg3bx6+++47n9f52mVevHixh2JYdYSGhuKtt97CW2+9hXPnzmH79u346KOPsGDBAhQXF2Pp0qUe548ZMwaJiYl44YUXcP3112Pz5s0+E9z79u2L7t27O0Us1q9fj4KCAjz//PPQarX1bp+MnJwcn8dlVUB5nH/99VesWrXKqTin0bi+8h0OB/7v//7P6x5GoxGzZ8/G7NmzkZaWhp9//hmLFy/G559/jtTUVKdog/yMI0eO1Cig4A75/LraXh805l7yNe+88069jOSgoKBan1HTcRk1eTkaup4b09f//Oc/KCgowKJFi7zU6ZYvX16ncmJ9ILerpnnLysryOO+3Qk3jLD+3pKTEOZd1oX379vjqq69gs9lw5MgRbNmyBe+99x6eeOIJ+Pv7O7//VCoKKttsNq97+CKSjYVarcbMmTMxc+ZM5ObmYufOnfjyyy+xYsUKnDhxAidOnGiQ6I0CBQp+eyhy6woUKKgV06dPh1arxTfffIOTJ0/Wem5du+B9+vSBSqWqU1HNHefOnUNYWJiXEQqg3qFjjUHr1q1x3333Yfv27QgICKiRwM2aNQtvvfUWDh06hCFDhtRoAD/yyCMwmUz47LPP8PHHH0MQBMyYMaNRbfPV75KSEhw+fBgGgwHt27cHwLEDgLFjx3qQKgDYt2+fV3hYdcTFxeHOO+/Exo0b0bp1a+zcudPpCbjuuusAoN5z2b17dwDAzp07YbfbvT73JV1dE9q1awc/Pz8cPnzYwztX270a2t6goCC0bNkSGRkZSE1N9fp8586d9W6vOxq6nmVPaG1z7usZAHDrrbfW6xkAnKF5vubGF+RSBBkZGTh79qzX51u3bvVo/9VGQ+fbHRqNBj179sTzzz/vLAGxevVq5+ehoaEAgLS0NK9rG1IgvSFjHhUVhQkTJuDrr7/GsGHDcP78eRw/frzez1KgQMHVgUKsFChQUCvi4+Mxe/ZsWCwWjB49ukbDYcOGDXVKZkdFReHOO+/Er7/+ildffdWnQXH+/HmkpKR4PL+wsBBHjx71OO/TTz/Fxo0bG9Ej30hJScGFCxe8jhcVFcFsNsNoNNZ47cyZM/HBBx/gxIkTGDx4sM8aOVOmTEFwcDD+7//+D9u3b8eNN96Ili1bNqqtS5cu9cpdmT17NkpKSnDHHXc4d7Hl3KDqRCM3NxePPvqo133z8vJw7Ngxr+MVFRUoLy+HRqNx5ptNnz4dISEheOWVV7Bv3z6vaxwOh8dzmzVrhhtvvBEpKSlYsGCBx7nfffddg0iyVqvFnXfeibKyMq98qV9//RVffPGF1zW9evVCUlISvv32W/zvf//zed9jx44hNzfX+fc999wDh8OBWbNmQRRF5/G0tDS8/fbb9W6vOxq6nm+55RaEhoZi2bJlXu+ePOe+ngF4z/vGjRuxcOFCn+2SPa2XLl2qb1dw7733QhRFPPvssx7vcn5+vlPO/d577633/a4kHnvsMWi1Wjz55JPOfD93WCwWD9J14MABn2Mpb5S45xjK+XOLFi3y8FqlpaVhzpw59W5jaGgoBEHwOeZmsxm7du3yOm61WlFYWOjVJgUKFPw+oIQCKlCgoE688MILsNlseOWVV9C7d2/0798fvXr1QkBAAHJycvDzzz/j7Nmz6NWrV533WrBgAc6ePYt//vOfWLp0KQYOHIgmTZogMzMTp06dwv79+7F8+XJnzamZM2di48aNGDhwoLOWy6+//oqdO3di4sSJWLly5RXp45EjRzBhwgT07t0b7du3R0xMDPLy8vDdd9/BarU6c65qwkMPPQSDwYD77rsPgwYNwk8//eSskQPQCJo6dSreffddAMCDDz7Y6LaOHDkSAwYMwG233easabRz507Ex8fj9ddfd57Xu3dvDBgwAN9++y369++PgQMHIicnB+vXr0diYiJiYmI87puRkYHu3bujc+fO6NKlC+Li4lBaWoq1a9ciOzsbjz/+uLPmVXh4OFauXInx48fjuuuuw/XXX4+OHTtCEASkpaVhz549KCgo8BBm+O9//4t+/fph5syZ2LRpE7p27Ypz585h1apVTtGM+mLu3Ln48ccf8fbbb+PXX3911rH66quvMGrUKHz//fde1yxbtgzDhg3Dfffdh3fffRd9+/ZFSEgI0tPTcfToURw/fhx79uxxiiE899xzWL16Nb788kskJydj+PDhKCkpwddff41BgwZh9erVzrCw+qKh6zkgIAAff/wxJk+ejKSkJI86VsePH8egQYPw888/e1zzyCOPYNGiRZg0aRImTpyImJgYHD9+HBs2bMBtt93ms7js9ddfjxUrVmDChAkYNWoUjEYjWrRogbvvvrvGvjzzzDNYv349vvvuO3Tt2hWjRo1CZWUlVqxYgdzcXDz33HN1inz8VmjXrh3+97//4d5770XHjh0xYsQItG3bFlarFZcuXcKOHTsQGRnpLLK8dOlSfPTRRxg4cCBatWqF0NBQnD9/HmvWrIFer8fMmTOd9+7bt69z3Pv06YNhw4YhJycHa9aswU033eTTk+ULAQEB6Nu3L3bs2IE777wTbdu2hVqtxtixY9G8eXMMHDgQrVu3Rs+ePdGiRQuYTCZs3rwZp06dwtixY52eaQUKFPyOcK1lCRUoUPDHwcmTJ8XHHntM7NixoxgYGChqtVoxOjpaHDFihLhw4UIPWeDapITNZrP43nvvif369RODgoJEnU4nxsXFicOGDRPfeustj3pJoiiKa9asEfv27SsGBASIwcHB4o033ihu375dXLRokU+Jbl/S0HUhLS1NnDVrlti/f3+xSZMmok6nE2NjY8URI0aI69at8zi3tr4tW7ZM1Gg0YosWLcTz5897fCZLfjdt2tSr7k594C7zvGjRImftpYiICHHatGliZmam1zUFBQXiww8/LLZo0ULU6/Viy5YtxVmzZokVFRVe41RUVCS+8sor4tChQ8WYmBhRp9OJ0dHR4uDBg8Vly5b5lGBPSUkRH330UbF169aiXq8XAwMDxcTERPGuu+4SV61a5XX+2bNnxVtvvVUMDg4W/fz8xOuuu05cu3ZtjXNZG7KyssTp06eLERERosFgELt27SouWrRI3Lp1q886VqIoiqWlpeJrr70m9ujRQ/T39xcNBoMYHx8vjho1Svzoo4+86p4VFRWJf/vb38SmTZuKOp1OTExMFN98801x7969IgDxiSee8Djfl6x2dTR0PYuiKG7atEkcMGCAaDQaxZCQEHHs2LHiqVOnanzerl27xKFDh4ohISFiQECAOGDAAHHVqlU1jo3NZhNnzZolJiQkOOuADR482Pl5Te9UVVWV+Nprr4kdO3YUDQaD81nLli3zOrcuefG6JN+ro3obfeHo0aPi1KlTxebNm4s6nU4MDQ0VO3bsKM6YMUP88ccfnef98ssv4kMPPSR26dJFDA0NFQ0Gg9iqVStx2rRp4rFjx7zuW1RUJN5///1iZGSkqNPpxI4dO4offfRRg+TWRZHvw8033yyGhYWJgiA4599isYhvvPGGOGLECDEuLk7U6/ViRESE2LdvX/GDDz4QzWZzvcdJgQIFVw+CKLrFNyhQoECBgt8MixcvxvTp0/GPf/zDGSql4I+JTz75BDNmzMCHH354Wd5HBQoUKFDw54FCrBQoUKDgKsBms6FHjx44deoUUlJS0KxZs2vdJAX1QGZmplfI5KVLl5yhhxcvXvT6XIECBQoU/DWh5FgpUKBAwW+InTt3Yvv27di2bRuOHTuGxx57TCFVfyDceuutsFqt6NmzJ0JCQpCamoq1a9eisrIS8+bNU0iVAgUKFChwQiFWChQoUPAbYsuWLXjllVcQFhaGBx54wGftKAW/X9x9991YunQpvvnmG5SUlDgFBx577DFMmDDhWjdPgQIFChT8jqCEAipQoECBAgUKFChQoEDBZUKpY6VAgQIFChQoUKBAgQIFlwmFWClQoECBAgUKFChQoEDBZUIhVgoUKFCgQIECBQoUKFBwmVCIlQIFChQoUKBAgQIFChRcJhRipUCBAgUKFChQoECBAgWXCYVYKVCgQIECBQoUKFCgQMFlQiFWChQoUKBAgQIFChQoUHCZUIiVAgUKFChQoECBAgUKFFwmFGKlQIECBQoUKFCgQIECBZcJzbVuwO8RDocDmZmZCAwMhCAI17o5ChQoUPCXgSiKKCsrQ0xMDFQqZe9PhvL/kgIFChRcO9T3/yaFWPlAZmYm4uLirnUzFChQoOAvi7S0NDRr1uxaN+N3A+X/JQUKFCi49qjr/yaFWPlAYGAgAA5eUFDQ1Xtw+lkgJxVoEg80a3P1nns1kX4W+O49oCQPCI4Ebvkbj9fUb/fz1TpAAFBWCBRkAgEhgH8IcPNDQM8br2o3vNr438eAc4cBjRbQ6oFBE4HuNwCCAES14HnV+30l5/jAZmDj/4D4zkDqMWDEfUCPG67c/RvbpvOHgVbdfM/P1Vjvf4V36k+G0tJSxMXFOb+HFRDX7P8lBX845Ofno1WrVh7Hzp8/j4iIiGvUIgUK/vio7/9NCrHyATnMIigo6Or9B5aWDGz8CCjOBUKigIlPA3GJV+fZVxppyUB2ChCd4N2HijzAVAy07wWc2AlsX0qSZLX47neHnkDgLJdxDPD33EvAzm8BmxU4vBFo3anh41VbOxuCDj2B/qOA3PMkf5XFwNlfAMHu2R/3flzpuW3dCTgcC1zYD2h0gL8RuJbGV1oy56U4FyjL8Z6fq7He/0zv1F8QSribJ67J/0sK/pAwm81exwIDA5V1o0DBFUBd/zcpAey/F2Sn0ABs2RXIOg/sWEnDsCFISwb2b2j4dVcSacnAyn8Daz/kz+ptiU6gkXtiJ5CfARzZDpzeB0TEsv85qd73jEsEet3En/LvkXH0DHUcUPN1l9POhmLQbUDXIYB/IOAfDHTo790u935cacQlAom9gYpSoKIY2Lnq2q4D9/Usj4P7+vT1+dVoQ33xe3iXFChQoECBAgV/KCjE6veC6oTjl7XABzOB/evrd/2VJgqNRV3GbFwiPQfdhgERzYCO/QGIwLlD7L/slaoNaclAXjqg1QEXjtT/uoa0s6GISwSmvsq+JXQBzh6k56ih7Wos0pKBLUuBjDNAXgaQcuy3ISv1hbye5fkRHcDil4Clr/AnRNd6t5r5+W/dhvrOhfwurZjfsHfwWqGhJFAhjQoUKFCgQMFvAoVY/R4g7+APHE/CERBKY/P8YWDVu/UzgK6GB6A+qI8xG5cIJE0EmrYkiUzsC4y4t36hWmnJNMw3fApUlAHX3dy4EK/GGt21IS4R6JQE+AUyt+pyI5nSkoF1C/mvrjVwbAfPMVcBBRlATspvQ1bqC5lAj3mYP/MygOS9QHkRf+ZncL1rdAzn/C08bNXbUN81kp1Cr3FZUcPewYbiShCchm6o/F42YBQoUPCbITg4GFu3bvX4FxwcfK2bVS9s3LgRgiA4/2m1WrRu3RqzZ8+GxWK51s2rN8xmM55//nnExMTAaDSib9++2Lx58xW9fv/+/XjsscfQsWNH+Pv7o3nz5rjttttw5swZr/tlZGRg9OjRCAoKQocOHbBmzRqvc7799ltERUWhpKSkxnY5HA5ERkbi//7v/+rdl78alByraw3Z0JHzQBJ7A3YrkJfGcDeblSSpLqPwtyAKjYFszNaVSxSXSMP67EGgTQ+g98j63f/YDhrmgprGb6cBjQutq/786vdoTP5VWjLw8wqgtBDocSPnoj5zV9O9Fr/EvkIA2vWhR6zWe4mARgOIGpJz4Srvm1QfM/kfwHmDAIgiXIxTYDhnYp/LG6va4N4G93Ye20GvniAAvW/yXH/RCSR8hVlAWFOgvJihuUkTr1z7qr/3jc3/ct9Qqc8YNvR8BQoU/OGg0+kwZMiQa92MRuHIkSMAgP/85z+IjIxEZWUlVqxYgVdeeQVmsxnz5s27xi2sH6ZNm4aVK1di5syZaNOmDRYvXoxRo0Zh69atGDhw4BW5/o033sCuXbswadIkdOnSBdnZ2ViwYAF69OiBX375BZ06dXLeb+rUqcjIyPC45vTp04iPjwcAmEwmPPPMM/jXv/5VKwnft28f8vPzMXr06MsboD8xFGJ1reFu6JzYSUKl1gAqNWCpAgLD6keS3AmN6OB95eNXG76M2epIS6aXojgXyLkIRLes3zWpx4GqcsBiAhx24MAmYNCkxglX1PT8xhi98jVZ5+mNObGLHrnGEtzsFK4FnZFkJC/d2wh2JzKdk4DWPYFzB7l+Ejp7PvtKCXXUBJkIyhsC014Fsi8AZw4AbXuyfc3bATmX+LNTEj+3mi9/rBrTzqPbqC6p1gC/fA/87b8uchWXCIx/nJ6qgiwgPx3Yu5br5EoJYNRGcPavd41bXRsODd1QudIbMA1pqwIFChTUgaNHj8JgMODxxx+HWq0GQJLRokULfPXVV38IYrVv3z58+eWXmD9/Pp555hkAwD333INOnTrhueeew+7du6/I9U899RSWLVsGnU7nvHby5Mno3LkzXn/9dXz++ecAgKqqKvz000/Ytm0bBg0ahIceegi7d+/Gxo0b8eCDDwIA3nzzTQQHB+P++++vtW3r1q1DixYt0LFjx8YNjoSKigr4+/tf1j1+r1BCAa813A0dqxUozKaRqVIBaGA4WVwiDaWdq36bUJ/LCV1yv1b27GRdqH/ookxcTv8CmCppkGsN9O41JuwxO4XPN/jzp/s95FAwgz9/1uf+sqHccSCFOLoNpUcsO8XV54aMXXQCpeTLCkkkI5t5EyX3kC4ASJoAJHSi1/Om6d5E8bcM/zq2Q8oPTOfPNe8DHzwJfP9f/jz2M2AMokS+MYikaucqwGahRP3A8VdnE0AmrKLo8p6VFtBz6Y7eI0muHDagshQoL/FeJ3WhtjmvieDsX+85bnXldzU03LGx4ZG+0NC2KlCgQEEdOHLkCDp27OgkVQA9cDExMbWGqP2esHLlSqjVasyYMcN5zGAw4L777sOePXuQlpZ2Ra7v37+/B6kCgDZt2qBjx444deqU85jJZIIoiggNDQVAVbuQkBBUVlYCYJjg66+/jnfeeafOouw//PADRo8eja1bt0IQBKxatcrrnGXLlkEQBOzZswcAMHv2bAiCgJMnT2LKlCkIDQ2tl9fujwrFY3WtIRs6P68Adq+mcV6QyZCubkPp/ajNU1HdMPqtQn0a4sWp3j73azVSLarSgoZ5duR+NW3F++lCALuNHofcNB5rUD9FkoCLJ6ji55GPJLJtF0/6+KwGRCdQTOPgZpKgNj2ADYtoxPuHUC2wJkn5muAfCITHMmfLnSi5j4c8zz+vADb8DyjKprfTanJ54a5G+FdRFlBZxrESVEDyPmm+pDy64ztJEqMTgKIcEhmZiJ7Yyb/r47W8XEQn0KOWnsy22sx810KivM/Ny2CeFcAxC45ouABGTe9LTR7mMweAihIgtg2QcZbjUpcnSL5vQ7zUuWn8J6Mub6av75zGtFWBAgUKaoDFYkFycjLuvvtuj+OZmZk4efIkBg8efNnPsFqt9SZoYWFhdRINXzh06BDatm3rJW/fp08fAMDhw4drLfZ9OdeLooicnBwPj1JoaChatWqFuXPnYu7cudi9ezcOHz6M9957DwDw3HPPYeTIkRg0aFCt/crOzsahQ4cwZ84cDBkyBHFxcfjiiy8wfvx4j/O++OILtGrVCv369fM4PmnSJLRp0wZz586FKIq1PuuPDIVY/R6QfYGkKucii8eKImD0p1JeTZ6Kmgy22kJ9LicczJdxLh93v5+v9rlfe2AT81p63EiDuttQ5q4A3N2vqW1yv1KOAsYAICichMPgzzCtA5uAnsMZclavvgn0LLXpSTLikY8kULGwTU+SgLpylfavZ9sLs/i3CCD5AMPNRAdgswFNEyjBfnwXsPYD4OaH686FsVqAfmM53tXb4K4iqdFRDbCiGNAbGSaZc8lFoK5G/l1oU8AviJ5Wq4Uky2YhOQ2LBmJaA6f3uohsSBSJ6J7vgcoS4PBW4PyRBs5hIxCXCIyYTpJ34QgQHgPo/YCo5t7nFmaTvBsD2ZeewxsmgFEXmZX/rp5j6R9MouIfTIJeFxqy6bF/PbB8LpB5gZ7CqDgAAtdQ05a+r63p/m17so2XTgE6g29yqkCBgmuP4bWEvmz6/Ri4J0+ehNVqRUJCAvLz82G1WnH06FE8//zzUKvV+Ne//nXZz9i1axeGDh1ar3NTUlKcOUgNQVZWFpo2bep1XD6WmZn5m13/xRdfICMjA3PmzPE4/vHHH2PixIn48ssvAQAzZ87EgAEDsHv3bqxatcrDw1UT1q1bB4PBgGHDhkEQBNx11134z3/+g5KSEmdeVl5eHjZt2oQXX3zR6/quXbti2bJldT7njw6FWF0LuBMcAFg+D0g7TYO8KBuI7wgYAmjYFWSTeAFSGFN67QZbTeIRl5ss70s+29f9fBmU7t6cgBASIpkQyIZjXW2TxSby0gAIvE/H/qyDpbaTxJzaQ0Nv/BPAqAfq7k/TVi4vmDvZiE6gkSl7XGojInI4VHEuYDED7XoDZQXA2f30djjsoAcsE/h5JWCuAErz6JWsTYzCFxmqTowHjmcekM0KFOUBBj8KZ6jUQJPmrnbXV1DkctA5iTXF8tMBlYbz3bILcO4wMGwK0LYX58hJZAWud6uJ4xYaRe9lfjq9XY0NU6tr8yAtmZ7ESyeZw1iaz3ZXn+O0ZJJ4tZrj26Ync/nqi/qSWTnsNDSaP5NuBR5+q2GiLvX1SKYlc72knuC61Br4HLWG7wDg+9pjO5jb2Lo7v6dkIY/eI/l9tOpdhkwe2Ax0HqSIYShQcI3hcDhQUFDgOmABwrWA6nKVan9jHD16FADw0ksv4aWXXnIeHzJkCHbu3Ilu3brVev3NN9+MKVOmYMqUKTWe07Vr13qr80VHR9frvOqoqqqCXq/3Om4wGJyf/xbXnz59Go8++ij69euHqVOnenw2bNgwXLp0CSdOnEBMTAzi4uLgcDjw+OOP4+mnn0aLFi3wwQcf4J133oEoinjyySfx0EMPedxj3bp1GDp0KIxGIwDmfc2bNw8rV67EfffdBwD46quvYLPZcNddd3m1r/r9/qxQiNXVRnWCExXHY1YLd8e1WqB1DxoyggBknuUOsyGAifRqDRASUbec+ZUOEaxunNd0P9mgPLCR/Tm9jyFHlWW8jzGQ3qqd39Jg3bCIXoOsCzRwa/KGpSUz9MhmpefgwhEAAg3xwiygspz/axRkAkteoqevNqO0NrLRECIih0OFxwCXTvPviFheoxIAqGjEVpbQQxAQAuj9fYtR1NY+wJt8VlfVG3grPUKGAODmB7379FsavHGJFKyQQ9t2riJRaNKCno3qRFYEvUDdhgG7VtF4dzhovPsKf60P6rN5IOdY+QUBGj09fL48UdkpbF+bHvSkNWvbMHVIuXyCoKpjDfkIO+09sv4hdQ2p6ZadQrl7YwDJrbmKYbkaLccktAmf7+45TkumN7gggx51lYrk/cIRbgxAoPdPpSIxPr5DIVYKFFxjFBQUICrK04OcOxiI1NVwwe8EsiLgDz/8AJ1Oh5ycHMybNw8HDhyol1z8qVOnPJTwfCE0NBQ33HDDZbfVYrGgsLDQ41hkZCTUajWMRiPMZrPXNSaTCQCcxKQmNOb67OxsjB49GsHBwc4creoICAhA3759nX8vWrQI2dnZ+Pvf/44tW7bg2Wefxeeffw5BEDBlyhQkJiY6vXtWqxWbN2/2EA9p164devfujS+++MJJrL744gtcd911aN26tdfzExISau33nwUKsbraqE5IDH4ARECtJWkKjaaiW/oZKT8nmLkeFSU00G0WQOgA3PwQDfj65lU0NBzMV55UdU+Ar/vFJTKcaf96ii6s/DcQ3pRGXN/RNCKLc0kIAkOBg1sY1mcxM+8qLBo4vZ91quScpIHjXYa6nJcVGAakn+U5gWF8lsNBb425qv65KbURm9rGVB6P0Caco4JMQKejZ0alBtr2Bk7tpXdKpWHIos3Ctqk03iGeNUGOQ67JEyjPgUbHNZNxFoAAbFx0dXKW3OE+ZnnpDGXVaDh3E5/mv+M7SKoiY9nm47s4hyqB45aWXLuXMC0Z2L6CnqbqMun12TyQc6wKMwEIFPvolOT9jLx0ID8NSD0JQAR+WQP0HlH3mnIndxYzn9/7plrmwS3sNOtCw3LNqucuXncz+1LT+wqR0vHmKpJ7rYGkqqqMBHjgBJdSpnsYb1khi16fPwyYK/nv9D7OZVEWxT3k3Lqi7LrbrUCBAgU+cPToUbRo0QKjRo1yHuvRowc6dOiA999/H/Pnz6/xWpPJhPT0dLRr167WZ/giRDVBJkq+sHv3bq+QQjl0sGnTpsjIyPC6JiuL6QIxMTG1Preh15eUlGDkyJEoLi7Gjh076rw/AJSWluLFF1/Em2++CX9/fyxfvhwTJ07EuHHjAAATJ07EF1984ezjzp07UVpa6jE3AL1WTzzxBNLT02E2m/HLL79gwYIFPp9ZF6H8s6BRxKqm+E8F9UB1gtPrJuBSsqdMdkQsENsWOH+IhEqldpEqCICpgvda9Q53kZu0AB5+x2VQHdvBz91zVRriham+8+9ObDQ6qqX1HllzHaiiHHqrImJJfswm5v/88j0QlUACVFbAdlqq6MWqKKbBV5rPEMjyIhcRcxc6OLBR2nHPYkhTRQkNOpmAiA6GGtYnN6Wx8OUZ2fsD5yv3Ig3ltj2BwZOBHz8HTOUkfgZ/zv+AcUBSHRLx7vLtGh2NXndxDHkO5TnNTSMZ1Rlp0Kcco+ELuLw0RTm/vSy2vP62LKU3MaypS01PdACbP6P3MiwagMh1UFHMjQVBRcJVUxhgWjLw/kzghOTdqi6TLtefOrCJ5Kkmb+6I6UBEDJ/forP3M+Rxz7xA1Un/ELa5PmRdDpsLCmM7k/cCv27gZ76ulcNOs85zzR/eWn9Z9+pEMjLOWyzGw3PnRuJST3DsLVV8n0Y/yOv3/lAtj1ISeako4TumUtOTDul9C23K903+jgptXOiMAgUKFBw9etQp0CCjffv26NWrF7755hsPYmWz2fDSSy/hww8/RHh4OF544QW0atXKSyWvOnwRoppQW46Vr5BCOXSwW7du2Lp1K0pLSz0EKPbu3ev8vDY05HqTyYQxY8bgzJkz2LJlCzp06FCvvs2ZMwcJCQm48847ATBvq3v37s7PY2JicPjwYeffP/zwAzp06OA1HrfffjueeuopLF++HFVVVdBqtZg8eXK92vBnRaOIVVxcHIYNG4a7774bEyZM+NNq0f8m8EVwolu6jOCIWJKY5H0Me0voQjGCqjIg8zwAB6XGj/4MHN0BiHYKFexYQWN98UvMX7LbSC5kwiU/uz474bIUud4IJO+nVy3rPHOGCrOYUwHQK5KXTiPMfZddTmrPz6AxnZ/OHAxTBVBVARSkMwwLIr1ZJfnMtXE4gAoThQ7KC+nxiO/EfuRcZL+KcoHiPHq3rJKrXBSlEMkoGn2jH2R7ahPDABov5iGPT2gT/oxqDpz5lcRFtNMIXT6X55nKOI8qNYv2+ofQ+KzN0yjL0accYx8Ls0jODAFSf6udL4pwFgcuK2Iel38wsOMbkozcSwxT1GjpHQQaR67qk7+08t9cuzmpJHnuIWbL5gFnfyWJyrvEcQuLkVQwtVyzAaE1z0V2Cu/rkAx8WSbdvS8CuAZqyiWQ65fJ3s+UE545XTJZ0fuRVGkNJMUhkXWTdfewuZRj9MQ1iffdThny98GOlSRVcYk8t14hdaLvOmC1henKuYPh0sZYYCjJVZSUk+cuiCI64CHyknVemic7CZrs6es4kO+4+zEFChQoaACys7ORm5vrM5TvpptuwmuvvYZTp06hffv2AIDnn38ep06dQkpKCsrKytC/f38vFTpfuFI5VrWFFE6cOBFvvvkmPv74Y2cdKrPZjEWLFqFv375ORb/KykpcunQJERERiIiIaPD1drsdkydPxp49e/Ddd9/Vq/8AcObMGSxYsAA///wzBIH/WTZp0gSnT592nnPq1CmP/q9btw4333yz170iIiIwcuRIfP755zCZTBgxYoRHX/6KaBSxmjNnDpYtW4apU6fi4Ycfxrhx43DXXXdh+PDhjZKm/EugulHqLiqRnULjBQJwZj/JTFkBDbqUo0D367nzb6kCIpvTqMw8w78FAYCVnqFjO4CzB0jCHI4GGGjVIZIwyNLdfgFsW2EW22GzAr9uZDiQVk/D2P05vUcCyb8yjyo/TQrTs7NNooPhSB0HAJZKQK2jJ8di4n3tNj43sS/Qa7grtCm6JdX0Lp1mn6vKXIYfHIDdQW9XeAwN+erFauurdNaQ8Tl3kETJ6A+U5PG4KLKv2amsfaTVUxUQUv6X3uAiO3Yb0O8Whk5Wl6bPOk9jtaqcZCgvg8pr7hL8gGdR4oBQSrRr9UDngUBWCkmeziiFf/lxDn/dyPGsiST5IlD1zV/KOk/vTmU5640FhdHbBoFj5HAAtkpANLjU9rQGjllgGD24NSE6gZLnmWc5zgY/TyU6WUmxx43eoYByn/LS2caqco5FbBvPOmp56SQrF45wfiDQuzblxbrJqJyX1XEAsHcd25iWzDGojZTFJVIM4vwR5pvZ7STF8tr3BZkg2iySR3O8Z8ifL8Ll4eG8JNU0O+1ZUiCyOY9B4P0HjnflxiV08Z03JufW/VbCKAoUKPjTQ86v6ty5s9dnw4cPx2uvvYYffvgB7du3R2ZmJj755BOcO3cOISEhCAkJQf/+/etVtPZK5VjVhr59+2LSpEmYNWsWcnNz0bp1ayxZsgSpqan49NNPneft27cPQ4cOxcsvv4zZs2c3+Pqnn34a33//PcaMGYPCwkJnQWAZvgQkAODJJ5/E5MmTPbyDEydOxC233IIXXngBALBmzRqsXbsWAD13p06dwgcffODzfvfccw8mTqS686uvvtqAkfpzolHE6oUXXsALL7yAQ4cO4YsvvsCXX36JZcuWISoqCnfccQfuvPNO9OrV60q39Y+D/espYiCHXaUl+zb0PYxoyTAuypGKwpZRkcxuJ5kpyKJxfPEkENeWXh7ZkBdU9GIc2MRwIlMVvU1qbSM7IAD+QdyxV0ltSOzN59ut3LWWvSQ2K3MuCrPdjNc04KcvuFNfVeHKfZKNt4AQ3iuuA70rAMPBDAGA3QDEtWO4lmzIyvcNCqfnq7zYrbaUyPbq9Cw86x9MAYcTO/nM3Iu+yeXliHnkZdCDpFLxJ6T8ILvNdU50PJ9Rks/PRTvgEKQwSTuPV5ZSqrplFyC+s6c0fceBPMdikrxzFkCtArZ9SbEKWUAk6zzHt7SAJCH3Iu9/YrdLSrsgi8SlKItr5eBmkrzSAs/QTnmsfa3V+uYvWa2uHDpjIEPFoppzvkpyWTcK4Fj1uJGek81LgJICKhlGt6x53OMSgRunkkDL0u5RzV3vW2gT33l/1fOe0pM5tnY7JeC7DvFUuayqIInV6Lh5YWXCcJ0eUGdJgGPsv90meWLtda+puEQSl6PbSRgvnfRet+5hvoBrnbjL8cuEq7yI5DG+I1VF3cODm8QD+9ZzgyKuHd+n/RuYo1c9DFdQ1R1CLG8UyQWRG1POQYECBX9pyIqAvjxW/fr1Q2BgINatW4dnnnkGP/74I3r37u0h0JGXl1encMXVxGeffYaXXnoJS5cuRVFREbp06YK1a9fWWSuqIdfLoXpr1qzBmjVrvO7hi1itW7cOP//8M86cOeNx/Oabb8Zrr72G9957D6IoYt68eRg5cqTzmuDgYAwYMMBnW8eMGYPQ0FA4HA6MHTu2Xv37M+OyxCu6d++O7t27Y/78+fjpp5+wbNkyLFq0CO+++y4SExNx11134a677kLz5j5qxPxZIctvV5TQyAdoiCfvpeeg0M27IxurodFSvR/JKxXahCpyDtAwKy+mMWiz0tAuK6IxrdHTaDP4A0GhQHYJE+z3bwQCQ4DWPRsXmhOdwByvcsbzwj+Yu/tqNb1JeiON9ajmQNoZErgTu+hds1roaSktYO7XxZM0sAOC6TGJac3jCZ15z33rgTbd2V+dEYBIj8fOVZJX5YJLUlytlTweFs/2qlQuomcMoGhEST45l7qGhPqaxDzqE+52bIfkFRR5/+gWQJfBNEz1RmDo7QzLzL4AbP2Snr28Swx7K83nnFeWurxZWoPLa+LervAYGtkOB8Mi7SAxKMmTGiPSK1VWQCP+1B6Of1w7PsdcxRBJaxWgUQNWB8cpO5X31BldoZ1yKOexHb5JaX3FT4z+JCTWKkAQmX8jOljXy1wpnSTQYFepGD6m0VENsCi77mLYnZNcxYc1OnqG9q5hX/2DSQLksDb5PtXrqGn1rBfnELmB0HM42ySfI/ffagH8gklQVr3DtVubd1P2CB3fAXz7NpBexLVvt9cvPyssmvNls7pyBt3HYfFL/B6BADRnOIxXPplMtitKOZYFmcDOb9hXgERWb2RYcXkx59gYCGz/iu0MjuTz5TBceRxr85wd20FClnq04UWwFShQoADAs88+i2effdbnZ1qtFqWlpc6/8/PzPcLNsrOzsXv3bnz44Ye/eTvrC4PBgPnz59cquDFkyJAaC+XW5/pt27Y1uF2jRo1CWVmZz8/+/ve/4+9//7vX8R9++AHDhw+HRuObMqhUKmg0GowZM8YpCe+O2bNne3jk/uy4IqqAgiAgKSkJxcXFyMjIwKZNm3D27FnMnj0b//znPzF+/Hi8++67fw3BC1l+O7YNFdrOHgRCmoBeC8m7IkM2VrPO0yi0mPizqpyfO0RAtJGoZJ4j6VJpGWJlruSt1BqgZWeGUMm5I/Ed+HddAgk1wT3BPzgCCIlmEd6mrWiQ2R3sW8suNMZad2c/K0rohchOYSjSucMAJLUwvR+9Sid3M9QxXdotKcig8deyK5+bctyVZ/LzChK284fpzbOaaahbqlwCHgDHNbI50OE64PBPzMGyW6WxVvFvX32svhNfV7ib/PnpvfTMqFSAXSSBe/ht37v6Wj2JhdUM5KYy9FEtJfqbK0mqrCYgpI23IIUsW37sZ5fXQ1DRo7ljpVR82EzvSlkhn+FwMERRZ+QxvyCSXJvsTRMBi4XPLpE8P4VZvF+bHjSSK4rhJD8yKa2P+El2Co3yjv0pjmDwI/mR60ZZra422C0cz5Aob7lxGfvXu0i1XLwWoMeuKJtE/sAmrp/IOPazONe7hpk7KYyMo8f00kkqESZ0YhhuXjrnYc/3XGO9R5FsyGNRnEvyXJcUvHz8yM98F02VJDI1Fc91925HxvIdKS9mGyNiPcc244zL+1uYzXZWzyeTBTyKsulZVmtdIamWKpdQSGAoCZW5kvOZdYHjX17E975dH36H1CWwIpM9s4k5fv3HNV4uX4ECBY1D9QLAFt+n/VmQmJiI119/HWlpaTAYDJg6dSoEQfAp8a3g8jFkyBAkJdW8Sb969Wrk5eXhnnvuuYqt+v3isonV1q1b8cUXX+Cbb75BaWkpOnfujDfffBN33nknNBoNFi1ahLlz5+Luu+/Gli1brkSbf9+QhRsyzvJnmx402owBNI7b9aEXqXqtG9FBg6Qgm4VUS/JoINmlUDuVmuTEaiaZkvNN8tIYHiXvhi+fx/yWC0dJrBoDOZyoOJeGYZueUojTUZK/lCM0zvwCuON/7pBn4d/SAhqpokQGzJUusQaHlLeSepxGbt+beX3SrRyXt+5nGKEo0runM5JU5aSSQBj84KVMoDMAN95DolBa6PpcEEh+5FCn6l6o6jvxdYW7yZ83awPkXACg4qPOHeLnvW7yDIeSvQeWKiknyF9S7auiUVtVxrlM7AuMedi3yEh0S/a5OI9jKq+HX9bSK2WqkMgbpMK8as6RRkPPX0UpfwcAiNKYgGtLbSb5Ks6louCGT+kFFcFcLUHtqfLmK+RLHpfoBK7F1OPsn84IhDVhvtH2r0igNRrAapfC1gSq5eWk0shv05Nhku4hbaveJakOkzZkju+g9684l/NcVcZnZJ7lffT+vgmMTAp/XsE1EhTuOq/TQNeGRFoy26410Hs0ZDKL3oZGkfid3E0Z/dqk4I/tAA5uokqj3g8IiiCximruOkcer+wLnt7t6+8k0XWInOMzB9y8XCLnsrSA3wXB4ZzDrkP5zslFe+MSGdq5fK6kamjjGqss5fePXirvUF7EuQ6J5JgHhfM9Cwjm3KQc57svezJ9eXLlsF9Bxe+lqjJubHRKql8pAQUKFChoBEaMGIGRI0eiY8eOaNasGYYNG4a8vDwlx/83wnPPPefz+N69e3H06FG8+uqr6N69OwYPHnyVW/b7RKOI1ZEjR/DFF19g+fLlyMzMRHR0NO6//37cc889XomHzzzzDAwGg1PZ5E8P2RCSZcjz0oHP59ALZQygRwfwljPPy6BBZrW4dpSrKoCgSKBpGxIli4UhXe2uowhCcS537+VwvzO/kvyIoCFbl3CFbCzJeUqy0VSdYMh5FjtWcvfbVE7jrrLcdS+58O/eH2goOj0k4P0ddnq3HNLxihLmIZ07JHkqQM9MyjF+BrhIQ2gTaexuoIGr0QNmf5chrjeSiGZfdD0PkPLP1DRgV8z3zieqngtXPdyterFUdw9jQBiN8HCpHpO7mETKUZcwhdXKsEnRQcPT4M82Vxa7+vjT5zSUB93mPV9xicDNDwP5mSTrdisN5YoSKZ/KAWjMHB+rWcqLU0lhgGrXuAsCx0IU6TVz2Jn/JBeWrSjlvDZrK4VuhjEULCLWu2Cse+0kAVyzGh3HuaKYa8MmreMTO0lsbVYAKn4GQJLvc0mvmyq8le1sFpKqwixJWRB8rsGPa0UQgAIN109Ma/b/4glg3ULPUgOQ1tYPH/E9tNu4ZiBwEyMgFGjRke+PRisVzE1niGBBFj0yai3HxUMkAt6hcLlpbG90PPtkt7EPosPbI6r38/RunzlAERpLJdv2/QKpuHJLfhbWhGG0uZeYW2Wu4vjmZ3jKtPceyWt+XkGPXnEe8+t0RrZJUPH7JaIZcMPdrhy4/AzK4V86BfgVkbjLnkz3+lYDx0vzJ5Is52e4PMQleczHVLxVChQo+I2gUqmwePFiLF68+Fo35S+NDz74AJ9//jm6deumzIUbGkWsunfvDqPRiHHjxuGee+7BjTfeWOtOQceOHestA/mnQO+RnqIVxXn06FhMNE48cj42cie8JJ+71HHt+Lts3AaHA2knJI+E5IHJTQXumOWpzpWWDGz9ykVKVGqSlJpQXTgjopkr3KqmfBqHSKOvtMC1C6/RAV0HsB8/fEzD1Wb1fJYgcCe+otRFrGwWGogWM200m5VEoaLU7ToVr23akopxpkqpbk4QDV+tjl6a0iJg3SccM72RxqzoIIkRwfGsnk/k7i3QGRn6OOg2zzC8DYsYsugXBEyZxTmVPz+9j2FjGg2N7n3rOVcpR4GMc/QQ5FxknpTcZ1Hk2AWFS/Mk5YWVlwA/LadRLoe7VVeQlJXXRAf7cHK3lDcjsr/BEZyPzHO8t0nKZ9LqObZ+QRxzh4PnmyqlEDhJoECt5nmZ50k0rp9CL5KvgrHu+UqCQEJ9YBNz/7R6Ei2blXMWHc9nVZZwnQHMv4KdRnhUM5Ld6kpz0QkMPcV5kqrxj3PeDmxiUWlzJeAfChiMUp6Wlu/Z9hWAZjU9w1PdRGJ++Iif6418DwVByld0uERCHA6uX1MVc8VSjnFtBIYBHfq7xBzc36HqoXBdBnMdnzvMc/yCOZ6Cylumv+sQksJLp+h1hSjxTcmDXVwALJ1DL1JhDtev3cpzC7OAm6ZzA+fwVnoG3b2scYksVn3mV+Yz7l1LYl1ZxvWoNXCOinOBzlIy9P6NfK/sVr6bajXJ2fGdUoin9J7LmyGBYVLBaxXgUHGsHA7e8w+K/fv3Y8mSJdi6dStSU1MRHh6O6667Dv/617/Qtm1b53nTpk3DkiVLvK5PTEz0kCwGAIfDgTfffBMffPABsrKy0LZtW8yaNQt33HHHb94fBQoUKPitoJBb32gUsfrf//6HiRMnIiAgoF7nDx06tN4F2f5UkHNOtDoanYGhUg6J6KoXk51KY1s2vs/slwxdLT00+ek0chw2GjyCQDJ05gANJ/dnmStpPEF0kRJ3eIQhpXgKZ7Tp6RJQ6HWTZz4NQAPy0BaGEAHsR6vuQEYy8ONSEgm7nUafSk0D22Hn7xotCZi76ITVzDAilYb3ctglgxeuOk0OOwCB58Z3AUrzaNRVlDLMUKOTCIRDCrdz8Pk6qQaRnJelUvNZfkH0qPy8AjiyTarnE0NvwabFLmLT6yZ6PY5u4w6/w84QS1mxLjeNxKayjCQh4yyNa70fPYkVJRz7imJvkmmzsBaXOwQBaN2N7XEPd3PP86oetpiXJuWpCZKoSA7Hr7KMIZr6AEnUQhJCMFfRq2W3AeHhVGA0V0mkN5BjqdHxd5uFnpPifJILuYCtLK4hF+G1WTi+e77jdREx9MpZqph7dmoP129wBL1MNgtrrjkhktS410BzR2IfV+is/HnP4WyTpUqqfxYADJ9O4750pSvsMi/dRTKyU+jlMwZwncoCEQ4blSQFgWGpspc44wy9nxs+JTnXaKmyGNvGM8QtO4Vz73DwfbVZ+T43bc21Kgh87wNCJBXHCxyPiydIQroOBobd6SLoFgufJYt8iDYKdWh1QEA43z2ViiGPcgieLNPuqyiyvEGSn0EFzqxzzG0Twd8DwxhSKhcwzjzP0FCH3eXtrCyTwnFDXN9XlaUcF2MgCVZwJD3kVrPLk56W/If0Wr3xxhvYtWsXJk2ahC5duiA7OxsLFixAjx498Msvv3iojun1eixcuNDj+uDgYK97vvjii3j99dfxwAMPoHfv3vjuu+8wZcoUCIKA22+//TfvkwIFChQouHpoFLGaNm3aFW7GnxBpyazlVFYoGfx67qyfOUDDfOB41hM6f8RFqmSIIo3QI1u9E/ohMMzuwCYpdElHYzMyFmiWyKR1h52kIijcZeBUD0MaON4V1qYzkly5G47uhvz+DTTkZAEFlYa/XzrBPI7iHFcIY6WU0xPZnB6U3EsMBXM4JNLkxpxEkYaizU7VvCbxDD+yWniunxTilXaGxqGp0kWUHHZJ3MNNUUcuxBvbFsi0kOgldKWYwvf/lXKSyoEfPqQBXVUOVCazPSLoRZCN8cJsiSxKOWEleVJo1UaSjrJCGsEWM+dHrmUV146eRTn0zV5tbgGSQpWG865S03A++QvrHaUcA1KPSUqBOb5FAORQxsUvuURNrCagQqTnxCwJJjhsrjmzmpkrFNVCUu2zANnnSbBE0NtmNQNaI8PGdq1i/2wW1jUyBnAum8RzbsqLOWeiNAdxiRz36JY0wC1Szk3WBUnpMprjWF16vKyQ9cludssxk9eqHFIpz3F2Ctd5SASJAaTwyu1fAeOf4PqVVfMim7nWcnQCpczNVYA5FGjXDzh/kKTIaiK57jwI2LPapb4pSGUFAF5XWcp3K/uCZ72oihJX3lPrbsx3lIt8n97LcevQ30XwImLZzrMH6OX0D+Y/2Ruk9wMqytg3QBI+sQCWCj5PUEseIdH1vSCApLp6+9xVClOOcy1p9ZwblZrva0meq76Y0Z/vnKmcpNAgEdFmbVmLbN8P/MxSxX+VJVQjlXO3ROmd3v0dPWqyx/APhKeeegrLli2DTqdzHps8eTI6d+6M119/3aNOjEajqbFOjIyMjAz8+9//xqOPPooFCxYAAO6//34MHjwYzz77LCZNmgS1Wl3rPRQoUKBAwR8HjSJWn332Wa2fC4IAg8GAZs2aoUePHtDr9Y1q3B8WsmGYvE8SodDS8Mk8y3yS4lwShUvJNAy9ILp2wCtLSaQEcKdarWbCud1Kg+bELu6Cx3cCJjwOdBpAwpV5DtjxLQ31qa/WnDd1fAfzKCpKPTUh3L1b0QncDb90UmqenW2pqgAKM6SiuFL4nUpN0lCQydpEDisNtPIiKcdH8thBBRb2lcKS+o5hH4pzaSCaKtn3lGOScW0nEfILpOEZEUtiVZJL41+AlDtko0GuUjOEylxBQiU6OA9ysWK5DpLej4TGVMnPZWM8LNql0Ch73jYvcdWJEh18lqBi/6sqaIzmpcGZPwSHm8R4NajVLsJgqgBMKVKeWAq9BKIkh557yff10S2B0Q9x/pL38R4F2bwvBBrKDndCLhGgG+/hXJ7eD2z4RKpDVsH5V6mkMD0pvNAukSCDget357e8d16ayzOl0UtFfqWfvYaTiBzdJoUgGhkamXGO+WAqFX/KMJu4wWCqdHnnslOYE5V7iev801kMKfQPkfKwEoCTezhGInj+zm8ZLthrOO/r7uWKS5TyGNPYptI8Er2WXRiy1/NGflaUK61HnUthURZ/0OlJxNyl6SEATRNYK0oWkRl5P5+Zl84cPouJYiyJvXhd01acL7uNfSrKIdGVvUGmcuZR2tzGSCYsfsFSzlY0vURyeGFpAdeeV/sknN7HDZTyQmkjQCJoZUXShoi0UWE18z7y/dVaeqoGTqCSZ1Yqr3e2S2Q4pkbPTZwTuyQybmVb/oDKgP379/c61qZNG3Ts2BGnTp3y+sxut6OiogJBQUE+7/fdd9/BarXikUcecR4TBAEPP/wwpkyZgj179mDgwIFXrgMKFChQoOCaotEeK0EKM6uuwe9+XBAEBAUFYdasWTWqivwpIZOYgFAaLlbJGKm0cte3aWuq4VUU04ApLZDCbzQub5WMwHCSFK2eO8qRcUDzDsCRnyhoIcudF+fS0Bo0Cfh1E4mV6GBYk9bAHXlZqEDOm5KNWK0B6NHXlaMBuPKvZMGHEdNdO+IqDT1BR7eyfzJUapINsxT+JpOKqnJXHo8xiH2Njme4VXQ8w8T6jKQhLdd4codMXiBwHEIMNOBMFfRMqDX0bOVcJDmpLOUYmquYv1KY6ao7ZbOAIWiSBHtMG4oCyP2UDcHOSVJtqrMSWRElr53D1RbZW6NS0fjV6Fxhiu5tBzyPQSBpspV6kh+rmWMmE1SbmfktkXGeamzuRXz9Q5hDk5bMsZM9bFYLnF4P52MFEtJeN3H+U47SO6b3lyTbiziuOiPXlRzaZbexDTYrz794Spojt7VakEVhhU5J/PfzCmD3ao6/+3q2A4Ba/oVrobyI95UN8bw0errs0jqqKGb/Ytvw74hYKa9HuofdxnMEFZ8tK1C6bw5A8iI67MC54yTopgq2OTiCoisWk0saX6sDeo6gEMPu1VJuVDTvIbczOoHjnH5GEjsByVRehut+TVrw2l83UpJ/4Hgg7RRQLIUXtuvDHLXtX5LgOkTv8FE4+I62v86VQ2ezsq3RLbnu8tIkufRiT0Ijfxfpja7NE0HtCpkUBHqMZc+puYrroHkHetFCo+nBTD3OMg5Z5wCTneOv1pJUFmbxPdFoXTX2RHs1T/sfF6IoIicnBx07dvQ4XllZiaCgIFRWViI0NBR33HEH3njjDY8Q+UOHDsHf3x/t27f3uLZPnz7OzxVipUDB1cPSpUvx2muv4fz58/D390dxcTGGDBkCoO66UNu2bcPQoUOxdetW5zV/RPxZ+lEfzJ49G6+88kqN9cJ+CzSKWB0+fBhTp05FeHg4Hn30UWftgLNnz+K///0viouLsWDBAuTk5OC9997DrFmzEBgYiIcffviKNv53CzkPJeOs78+zU2iMRMbR6Nf70bA1BtL7pNFJxpVIUgUwn6qihOdeOMr8Eog0Po/9zHC3JvFUKMtJkQxryUj7+Wt6yyLigOtu9tzN9yVUIcuElxW5BB8G3sp2tepO78PZ/a56WwCN2oBQwFQGQJDyvQSXV0beyY6Kk3KQ1CxWGhxJL4TooNehevFfhx3QSqGH/kE0JHvcyLye0gJXAVaAY1FW6AqBK80nkbOYJC+TCFcCl4TwaGDSs961meIS6enLSWXo5rblVADMOse+aqVwOocU1qdS8bgsKS5DJlQqNUlyaQHHwmH3botdCmWU1fsA5uOs/dBTjW3/euDodhLSwkxg5AP0RG5fwfUi5/dA5WbcCpyvjYtcf4+Y7qkEp5IELFQaKV9Oz+farCSicj02QeA6NFfw/lod+12QDWz/mp+37cnuZZyDZ+IcAJUIQC2FhTo4JmotPSvJ+5ln6G6UiyLzn3JSGVoXEOLy6AI8V60lMf/2bZdwhgBXwVqdETj1C9sM0HtTkk/vTFU5CUt5EedQZ+D1/cbwXTmxi2ugsoR1r2Sv5rGf6R22mplj9Pkr7KfVyvVvM/NdVasZ+ierUGr0wIBxzBcMawps+YyeM7msgnMjwW3MygoZkpmbJq3zAhYtfvgdepRSj/O9UmuqERoRyE9jKKBNytEU3YibKHnHVWpXbThzJUMiAY5JdirvWZDJ9yI3jX2Obc2C5BsWkbhp9SS5gkCC5yEX/8fFF198gYyMDMyZM8d5rGnTpnjuuefQo0cPOBwObNiwAe+//z6OHDmCbdu2OQtpZmVloUmTJs4NR/frASAzM7PG55rNZpjNLg+he4FUBQpqQ5AG+LqL97G/Ok6fPo1p06ZhxIgR+Pvf/w4/P79r3aQ/HDIzM/Hxxx9j3Lhx6Nat27Vuzu8SjXrV3nrrLTRp0gQbNmzwON65c2eMHz8eI0eOxKeffoqFCxdi7NixSEpKwvvvv18nsSovL8f8+fOxd+9e7Nu3D0VFRVi0aFG9c7qKi4vx3HPPYdWqVaisrESfPn3w73//Gz169GhMNy8PAmhoaLUM5atu7Jw7CPQZTSPulzXcVS6U/pMVBMlYV3PHuLyI+TYGfxpVUVJYnuw5cdhpFGVfYO6V7E2QIYfb2Swkc4CnhLavwq8aHUlVWFMaZEXZ3HmXc7iqEwOtnve7dIKqaoBn/pPokHbHrazb1LILLw+PdnkZ5OR8r4GU0P16hoyVFdDw9w8i0XGIJJMaraQul0BDV5b9VgVIHg4fO+hhMfTg1ARRZF5PUDhrJyV0YbhlzkXg0E+SgIOF4xsQ7FJl9OiCRLoqS3g/rY7GfPUNlOBIzm1WCj0HgaHsU8uuDBVb9S6fl3qC97KYKFQRJo1hzkUq5pXmeRrmKg3HXq0BLhwDFv+Tv2s0zM+74W6q5uVc5ByWF5N4GAIY0uaQ5+4gw1B1eoY+qjT0aIki+5d6DDh3gKTLGMgwObWa69YkeS2NgTxmrpI8SCKNcpsFWPNfzrfF5JmLpVZz7NUaEqMTu9xy1wR63JrEsw/pZ0k49Ua+Oz1uZO5SWrKLVAF8J+1lfE5Wiov7iZIQSlWZVIQZXNuDJpII9Rzuekc2fMocLUjXFuVI4y1IpQVE/m4MZS7i8nmcT1kdMaIZ73nhKMdDFNkenZF/uy8QjZbrxiYJXDhE9nXHShLeZolUG6xeC2zDInrQHA56tHytT4AevDKJFMnvd0GWVDMsn3OqlTyyZUUcp5yLJJY2C73m5w5J4ZkSeatpY+kPhNOnT+PRRx9Fv379MHXqVOfxefPmeZx3++23o23btnjxxRexcuVKpyhFVVWVz1B4g8Hg/LwmzJs3D6+88sqV6IaCvxj0KmBSk2vdit8ftm3bBofDgXfeecejmPCmTZuuYauuPgYNGoSqqiqPXNL6IjMzE6+88gri4+MVYlUDGkWsVq9ejblz5/r8TBAEjB07Fv/4xz+wcOFCqFQq3HrrrXjxxRfrvG9+fj7mzJmD5s2bo2vXrnW6Zd3hcDgwevRoHDlyBM8++ywiIiLw/vvvY8iQIThw4ADatGlT73tdNrIlj1H7vsD+YiBAC5QVcwcbIGkpzacX5JIUVuVBQqTEdJWWxqBKTbnl0CjetzCHx+ySV0ujY17Orxvp8QqN9gynU2toAIa04X191dACaJzK4VMd+nNHX6OhR0kuLusfxB35imLPPosOGlIqNRPaKyXPVWwbtskQAES3cCX3b1xEo12uYRUZyxwpm5UkxWF37dw7HCRUp34h2cg8R+POVOGKdrNaXMQpXyIDVjMAFdurM9DgqyyB02A1BgBdBnn2o3pdIrlGk5wLJ4JFX1t0ouBEVTkPWs0cL5lkuBNpQSC5kCXW5bnxC2K/1GoS3hvv4f23fCYJCthpKJ/YxT6UFjL00WHn3MkezMIs3m/i0y7viezxBFziKGWFJERqyStiqWJ/uw5hzS1ZnS6imSRSYCKBUUk5RmVFVFMMj+X1FSWSt0PFdqpUNLLDYxiaVprHdtjtPE+rc9Wscjg4JuXFJOImycPZJF7yaLp5bRx2wGECBCOFTGwWN8+mtC4vnSDRMFVwrrR6rrMLR5jrZ3LzrsrXiXbfOY6iyHk9e5D1omRlvfhOrppxacne+W9qjatumBwiCrhytqrKgOvGkiR3G0pCtG0551BeE2oN34Wci64QYpVGeselPlhMHB9zBaXWA8OkPMEKz1pgx3ZINbg0rjWq9+PatEneVkHNsUrozJDGylISu37jgF3f8ntCzm80V0nEyeFaT2cPcHyO73IjwyLb3Owqfuf+BsjOzsbo0aMRHByMlStX1iky8eSTT+Kll17Cli1bnMTKaDR6eJ1kmEwm5+c1YdasWXjqqaecf5eWliIuLq4xXVHwZ8Bwoe5zFNSK3Fwq8oaEhHgcbwzB+CNDpVI5N3d+L6ioqIC/v/+1bsYVQXX3QL3gcDiQnJxc4+enT5+Gw807oNfr6zWJTZs2RVZWFi5evIj58+c3qE0rV67E7t27sXjxYrz88st49NFHsW3bNqjVarz88ssNutdlQw4FPLGLf2sNQM+bqMgWFEGDrzifXqLiXDdBBwmCigVLA0Kl0CwVw3NkT4KlijvMIdE04CpLKZV8YAsNvqwLrnup1Hz23bOlGkmCS8Qi6zxzdRa9CCx9GfhgJrDkJRbT/eEjeqesVuaZnNgtPb+Eks3VjQy7jYaXVfLgRLckcbBLHqq7/wnc8QLDxZbOYVjUxZPA4Z+Ab/7NnfXAMBrbQeGSyIGNz5KFFPIzgEun2T+dgf+coU9SWKRG+oKUc0lEB0kswHP8Akk8/YIY1uhuKK9byDFY9irw3Xucv4hYkoTsVHrKLh4HvnkL2LKUBqwcAgiHJCji5p1Uazn3ej9Xbpc7LCaulZ4jKEzw4zJg9Tt8ntXsOj0ilvl15YU09v0CWeNMI6m6fbcAeOsBeixjW0thgNWeJUgeO6uJghGVpVJInz8JycndJM3+IRRzMARIxYi1HEvZqIaDxLtKUo6z21z3rargeizIdIVIqrUug9tm4ZqOaMYwUIvJ5TmT11B2Cu9h8KPBL6jondHoSCQsVd5KizYLiZkhgG3UG7k22vRkCG15oec1WiPXmFCLoSxLjZfkUeHSL5jeRBlr3ifRdIfBj+dGxLJfKoGkyhgAtO7JTYYLRyhg0UbyogeFc3NBreXaByhJbzXD6a2V17daTWKa0InjFxBKL1VZAT1pYx52CYC4Jp731hnZjsAQyZOul55ppKfVVMmNmwHjWDMtJJLt0bl5W9zXNiB995Rzc6bbEN5fo+OchTfl+P9BUVJSgpEjR6K4uBgbNmxATExMndcYjUaEh4ejsLDQeaxp06bIzs72iu/PyuJmSG331ev1CAoK8vinQMGfBRkZGbjvvvsQExMDvV6PhIQEPPzww7BYXOkAFy5cwKRJkxAWFgY/Pz9cd911+OGHHzzus23bNgiCgK+//hqvvfYamjVrBoPBgOuvvx7nzp1znhcfH++0BSMjIyEIAmbPng0AGDJkiFeuUXp6OsaNGwd/f39ERUXhySef9LlJAgB79+7FiBEjEBwcDD8/PwwePBi7du3yOGf27NkQBAHnzp3DtGnTEBISguDgYEyfPh2Vld4iV59//jn69OkDPz8/hIaGYtCgQV6etfXr1yMpKQn+/v4IDAzE6NGjceLEidoH3m3M3J0XQ4YMQadOnXDy5EkMHToUfn5+iI2Nxf/93/95XNe7d28AwPTp0yEIAgRB8Khl1ZCxOHnyJKZMmYLQ0FAMHDgQb775JgRBwMWLF73aPGvWLOh0OhQV8f/dHTt2YNKkSWjevDn0ej3i4uLw5JNP1hoFICM/Px+nT5/2Oe5XAo3yWI0dOxbvv/8+Wrdujfvvv99JmkwmEz755BN8+OGHmDx5svP8PXv2eLhda4Jer0d0dHRjmoSVK1eiSZMmmDBhgvNYZGQkbrvtNnz++ecwm81XTZ2wPDQWOf6xQIkFqDJDKCgFMrIgqNX0QhVmQJB2jQVByllxiM6gt9hADdRWM3furWZneJC5pAAFVgHw1wKV5RDsNL4FlUACknEJgqABquyAWg1BUANaPwgdhgAteiA0NJQT7qxDZAVyUmC3mFBqUwMXTgHBURC0OiAnC4JWCxQVAttXQUg9AQh6wFIKwSYCUEGQbFWjGlA77IBoojGmNwJaHUS1BmazlN8UGAnh67eB4z8DVpOzrwIA5GcBhTkQQqIAQxAEuxVQa6DS+0GoKnfV77JZJI+WnmRJZ6SxaXUAUHGbQBBo3OalSRLVACBSvcxhJanyD/YUq3DKex8jaTP4STlElSSUdgvVD+UQR6uJBjKkUEyvmD4Jag3Qoj2fpTVQwc89xM1uo/F+cqfk+RJcoWWAK08uO4X3SOhMef6OA+mh2LKU51SVMzfp42cZLqnWurwdMkTJMLfb4RSOsNmAsnySNpuVUvFnD9JQl9XuMs7yeFU5cP4Qz6sq4/2MgW6hZZKnTq0jwSkrdNXzklUGITLctXkH5vDI+Thy4WKA6yesKccuO1XyXNlIqOQFU10UQfYG+QXRI6nVkyAGhbu8iMYAoKqK+XrRLTjH5qqaVRtVap5zYhc9U5VlJLQpxxhe+OMXnnMFleR1U7HMgEpDUQyrmYIySRNJfM8epBroOw9JXp22DEX98QuOl2gHBHk9ia62mE3ciFGpec+4RG40HP6J61kWJQFcXmeIbIMsZFNZInmFzVxPgWHsk8POe8seLXMV+5yfIYUkurWlOgoyKC2f2Ju5bzYLNxsCQnm8phplv2OYTCaMGTMGZ86cwZYtW9ChQ4d6XVdWVob8/HxERkY6j3Xr1g0LFy7EqVOnPO6zd+9e5+cKFPzVkJmZiT59+qC4uBgzZsxAu3btkJGRgZUrV6KyshI6nQ45OTno378/Kisr8fjjjyM8PBxLlizB2LFjsXLlSowfP97jnq+//jpUKhWeeeYZlJSU4P/+7/9w5513Ot+1t99+G5999hlWrVqFDz74AAEBAejSpYuv5qGqqgrXX389Ll26hMcffxwxMTFYunQpfvrpJ69zf/rpJ4wcORI9e/bEyy+/DJVKhUWLFmHYsGHYsWOHU6hGxm233YaEhATMmzcPBw8exMKFCxEVFYU33njDec4rr7yC2bNno3///pgzZw50Oh327t2Ln376CcOHU/l26dKlmDp1Km666Sa88cYbqKysxAcffICBAwfi0KFDiI+Pb/C8FBUVYcSIEZgwYQJuu+02rFy5Es8//zw6d+6MkSNHon379pgzZw7++c9/YsaMGUhK4sa0rKba0LGYNGkS2rRpg7lz50IURdx888147rnn8PXXX+PZZ5/1OPfrr7/G8OHDERoaCgBYsWIFKisr8fDDDyM8PBz79u3De++9h/T0dKxYsaLWfi5YsACvvPLKbybe0Shi9c477+D8+fN4/PHH8cwzzzgTcbOysmCxWNCnTx+88847APiflNFo9Ahp+C1w6NAh9OjRA6pqOTp9+vTBxx9/jDNnzqBz586/aRtkrHv3NUx+8e0aPq3Opr0NltwROkQKAj0SYdE0MDU67C4UMWx3JYD8alfIxrLF97F1TwF4CidOnECHQLXkzREkI1XE6TIHOm2vBFAGwH2nQDLON6yv9jxPj8G2XioMDhVJHq4bI+V5AHlpF9FkXSaAVGD+5hrGAwBk49zTA/B1NxMmNZVClWxWyCRGtNmgWmcCwPApkjQa24JQDuCUh3I8f0/lTyET7z48BQ89/5K3clqbHmj+6T7kmx0ABCnhnFLtHkQQNgBVrmPSL7Pigb8nuD1YZwCadwRK8tB/yR4kFwqAXYDgqoAMQch2RrPJh1157g4ImmJMa3Mar/eOovHrcDCUrONAQAQm/mrGL8UOAHYIwglg+RnAYXfa5q5xECG4zZsgCBgVacd/uzjoidTpga1fOsPj/vZrIdafo3KioMsADH4QykoAu4PtFwRALJbGVHDOgQAT+kSIWNxOCuMTPUnCvw7k4KuNBYCpUuqz6DlXQimgMfEzq8Vj3FsagRVdfRj4Oj98nC5gYUo+4NBBEETAUQhh61v0illNECQFPEErrQW7FXBwXkM0wNru0r00OomYBQEqNVYdPoe3TzFUVxDMwM61EAxbGV7oNr6C4ABggqAyA6oSbpyIF7H5hmiXd2rnKoqOZJzFz0Ui5qYAUF2E4LdHUpMUnetLXgP8aWP7Ac6hkI+ld7RHsF8wPdvmKmde1bHN3+OfTz3OsECLie2wVEEQJBVFQbq3WAlobBDs+YBol+ZRhX8LFxFnt9OrdukUvYk2K9JNwHNuKVPOfp86D/ycDaHJPqCoEgICEGQqwYIBHV0Fx/9AxMput2Py5MnYs2cPvvvuO/Tr18/rHJPJBKvVisDAQI/jr776KkRRxIgRI5zHbrnlFjz55JN4//33nXWsRFHEhx9+iNjYWJ/y7goU/Nkxa9YsZGdnY+/evejVq5fz+Jw5c5ze3ddffx05OTnYsWOHUznzgQceQJcuXfDUU0/hlltu8bD3TCYTDh8+7AzrCw0NxRNPPIHjx4+jU6dOGDduHA4fPoxVq1Zh4sSJiIiIqLF9ss349ddfY9KkSc5nd+3a1eM8URTx0EMPYejQoVi/fr1TpObBBx9Ex44d8Y9//MPLy9S9e3d8+umnzr8LCgrw6aefOonVuXPnMGfOHIwfPx4rV6706KM8NuXl5Xj88cdx//334+OPP3Z+PnXqVCQmJmLu3Lkex+uLzMxMfPbZZ7j77rsBAPfddx9atGiBTz/9FCNHjkSTJk0wcuRI/POf/0S/fv086vg1Ziy6du2KZcuWeRy77rrr8NVXX3kQq/379+PChQtODyPAYu7uodQzZsxA69at8cILL+DSpUto3rx5g/t/pdAoYhUWFoZdu3Zh1apV2Lhxo9NtN3z4cNx0000YN26cczEYDAZ88sknV67FNSArKwuDBg3yOu6uvlQTsbqi6ktpyRD3VSciDYTVQiEHcxVzLdRqFnAtygdwGa7LrBSgQs37y0n9gsp3EduGwuAHNGsn5QzpKCpRkzegvnDYAbtIL4ZKyhNTS2QTqc7T3E3tOhU1RREOUWT+ybEdlFWXlRHzM1AlqlFll0Mz67qZJ8yxiYAx01N44MhPgCEQxSYLCk2NGGeLFWWVVa7CyE3i6Y07th2AiDyriAwP51R1qe6aICLPogKat+cay01z5YCln0F2vhrny+X2lkv/PK/3/TvQxM/hXQhYEAARyDQ5cDy/ArXD4vOoySE9Sy6uLMNqQkapBvvTi3xe59lO71COSK3bH31GApEtgK3LAEsVMgsr8HOR+/VV8N4ccf9c9Gx/aT4Ja6ckht6W5AEQkW0GNhYA3PyoQVDC476ef1tSTgJ+On5PtOvjzKvKP3cKq497h1E4vZQeEvzVx8KB2YKeHrDUE9wYkJQCS2zA8mxfbbMCKAbOFTuPROpVWFCU45nv9QfB008/je+//x5jxoxBYWGhR0FgALjrrruQnZ2N7t2744477kC7du0AABs3bsS6deswYsQI3HLLLc7zmzVrhpkzZ2L+/PmwWq3o3bs3Vq9ejR07duCLL75QigMr+MvB4XBg9erVGDNmjAepkiEb5OvWrUOfPn08yhEEBARgxowZmDVrFk6ePIlOnTo5P5s+fbpHrpTsTblw4YLHefXBunXr0LRpU0ycONF5zM/PDzNmzPAoHXT48GGcPXsW//jHP1BQUOBxj+uvvx5Lly6Fw+HwIEcPPfSQx3lJSUlYtWoVSktLERQUhNWrV8PhcOCf//ynl6NAHpvNmzejuLgYd9xxB/LzXRvtarUaffv2xdatWxvUXxkBAQEeZEmn06FPnz64cOFCLVcRV2IsABZknzlzJs6fP49WrVoBAL766ivo9XqP71Z3UlVRUYGqqir0798foiji0KFDtRKr2bNne5C0K40GE6uqqiq8+OKLGDp0KCZMmOARenct8btRX8pO8TT6GgFBNh7lELjgSP7tVd+mgdi0GJh4r0te3cYQK9Fur/PSWqGRkusFABCBtJNAeTFErR41Gcn1higJVwSF0VjXaBk+5UasGozTe4GSnex/YCg9Cp2SgNTjEH0pB9YXQ+8AescAG/7H3fqo5nwWBIiXM3dhTdn/yjKpvpONY6I3NpT7eUKjdYkk2CxuuWoOiNbLWMOBYYAqz1OFUWK8oqCq4aL6QiS51kiS8HLttIorIUVN8ofDP3Kstbq6iXpdsJpZRuDiceazmbjZcLm3RUUJENCE/U/o4vIKhTUulNqJ3iMAaw7vHxnHNVJZBrGyAi5yVgdUamDo7Z5lHf4gOHz4MABgzZo1WLNmjdfnd911F0JCQnDzzTdj8+bNWLJkCex2O1q3bo25c+fimWee8TKGXn/9dYSGhuKjjz7C4sWL0aZNG3z++eeYMmXK1eiSgr8g8ixA1HbPY7mDgcjfgUZDXl4eSktL6yQ7Fy9eRN++fb2OyzXhLl686HGP6oa0HDIm5+Q0BBcvXkTr1q29yiQkJnp+n509Sze+u2JodZSUlDjbUlc7g4KCcP78eahUqlpDkOXnDhs2zOfnjc3HbNasmVefQ0NDcfTo0TqvbcxYJCQkeJ0zadIkPPXUU/jqq6/wwgsvQBRFrFixAiNHjvTo16VLl/DPf/4T33//vdccl5TUtVn526LBxMpoNOKjjz6qd9z51cLvRn0pOkGq91N3AmGNkGXVHSKgVlH22BjgXeOpgRAyzrK2TGIfClPkp7vyeC4HfkGAw8I6O6nHAbuDifuOyyuc4Xy9RburxpDFJNXwuoz7VpQAFjWNx6Is5hH9utFNRr6R2LceMIfQe6fRUllQFGmkX4aFLpQXAQlDgHZ9gV/WUm2vskzKdWp8c4Wo5kCoXsqvcVMR9Kh/1Qjo/ZhbkyXl+biLeVxGg53rwS+Aa6G0wJXndBnNdf0/IgKnf6HHUa3xrNN2OTCVA+eOANeNZoihXJz6MiCoBJJ3/2AWek5LJomJurzwByE4CshKo3z6wR/5vsmFlet7D7l22x+MVAF1FwgFqCi2dOnSet9TpVJh1qxZmDVr1mW0TMGfHtdK9a+u52667G2gq4KavL+/ZWFYWaRt/vz5NeZLuhcMB65MO+XnLl261KcugVxHr6G4nLY1Zix82eUxMTFISkrC119/jRdeeAG//PILLl265JGDZrfbceONN6KwsBDPP/882rVrB39/f2RkZGDatGke4nnXAo0a/Z49e+L48eNXui2XBVlRsDrqq750xYQt4hIxcdJtqLKeA/LTnR4QUVb8Mlc6F6lrrQoQ1SpAHwBAhH90DA0aTRFgswNg4vnAAKBwCK8QBQD6QIh2G5W9TJUQrSZw1110mq9yZgY0WoSZMoGN/6PRq9HS0A2PRqItHZlDVIDeCFHkuWIZiYwo7b6KWh1gsUAUHfROhcdAbNUNyDiDJkWX2F6DP2CxUAzBVIHwAH+cnxgNBEdAvHQaiI6HmJsGqDTS/QHRYXe1V+8H2G0QbRZAEBCjc3uZ5XBFqZDp8S8/BMJjIX73HpB6EmJFMaDRQKwoBTQ6ekYsJkB0uMbCEADEtkazymypFpaVBrrWQI+HoMKWIWGwVZRBbNoaaNUF4uGtgKkCoomy96LWwPBB/yCI/sFAs3YQL54G9q1FM/tp4JiFxFVWbMu7BJgrsLS7DlWjH4PYsguw7SuIBRlAXjpEcxVgs0C0WiS5bgdEDQvuilbWLIptGkJFura9WP8sL805LG+2BYpsbmvJ4AcxIAyoKIEo90+tplfSagYgQtRSNa9pt7aAWECPqCMbsJid7OW5eODuptUC/mRBhspSiD48LyIA6AyIaKoigYiMJQm225zzd1+sgMFheqm9KiAwFGLTlsD5w1zDKhXQbRjH6aflQEGm830J1kDKt7NQ0c/N2B8XCcQbAeiM9JTarBBVakn2X4QIgfMX3ZJCGA4bxIoywFQOg7uDwWLmulGpAGMABndvjv/qznGOIAB+gRCHTqEwRlkhxIBQoLQA4p41UjFv0fnOefxnJNqlEgeRQEkeugYCb0pq5KLOAFjN0piIgFrDZwkCRDfC6z7Wfg4LoDJSCCQ3Dfh5BdC2FxL0Wrz64D3AiR0QK8vobdIZnEXIRZ2RhLE4l98dDjufq9EAIVGIOLUNqMhxCa1YTIBKg0gt8IK0uejslgCIglpSxhS4XgUB/sbfl4yvAgUKfj+IjIxEUFBQnTZkixYtfKpPnz592vn5b4UWLVrg+PHjEEXRw4NTvT1yqFpQUBBuuOGGK/LsVq1aweFw4OTJkzUSFPm5UVFRV+y59UV1j5aMKzkWkydPxiOPPILk5GR89dVX8PPzw5gxY5yfHzt2DGfOnMGSJUtwzz33OI9v3lxbLv/VQ6OI1dtvv41Ro0ahU6dOmDZtWqPZ8ZVEt27dsGPHDq8Yzr1798LPzw9t27a9Og1JS4Z6z2qoq4rptWFWOGDQM6Qr6zyNFXcIoHGikjwmggB0Gggc3cZaT5IHQatRI1QDhljp/aiC5xAAtQMICQb8YlmTylrt/hABwUpPSqlkSAsCjX9zJbTlJWiq1VE5ryyfnhB/LS0ovZE/bVY+T63j/fxUQH4yoLEBei2V+exWFkQGgMAwaCJj0bIgC8g6AmhEoDwNiArhPbQmhuLZHDSS1RogOJShUuXu3hP3QQIgqCCERKFj/yHcEQ9WA8vnsvBtZSkQAABmKtbZ9BxPm4UkMsgf6NIFSNcDOQCK8wA4qJJm8AccDnRTmQF/fyAmCDi3GRCLAL0I6AHADmitQIQeaNOZnocTq6mepimmMltWCr2CEbGs46PVA0ER6GUsAwItgJ8JuK4vx/nUXhrb2SlSH+1Swd8YynRfOg3oVEBZKvD9+yR0rXuwoGwlCXfv4GrDFBPDGmQHt/DZJXmS0pwA2DT83WECVBYgfQ/D9ipL+Dy9EYhpBVw8iT7BlZ5zIEiiJ+oSwGirrl/igtoGGCuAnBKgSXOutawUZ92zXhFG9BIErmFLJaCvBLQZQBM7oAvhPW5MIolMWQMYpZBYgJLnfgH0BKo1zvUA0YHuQUD3YBXzjmJaMsSxqpxe0+h4eqH8g7kuIuOAEdM5T6veZn0wGVVlUm0uKvZ19g9GZ7GQHtOmrfj+dI9l+OiZAyTPB88AiYFArp79svlav6Cyn8MBqDVo529DO7lkR0gIz68oBWwmfm/4BXH9nDvs/T6rpHpZIoCzv3LtbvwfcGQb4pu2xD/uux3YUAUc2gJUOQCdHfATgP4juVbb9mJ+ZSpDdgEHINiAYBuQdpjzYrdLnnM7oNagiR54zV3YVaPlOtUbXaUgNIH8GSGVlFCgQIGCalCpVBg3bhw+//xz/Prrr155VjKZGTVqFN5++23s2bPHKSJTUVGBjz/+GPHx8b9p1NSoUaOwadMmrFy50ileUVlZ6SUI0bNnT7Rq1QpvvvkmpkyZ4uWRycvL81AJrQ/GjRuH559/HnPmzPEpXiEIAm666SYEBQVh7ty5GDp0KLSy3XUZz60v5FpTxcXFHsev5Fjceuut+Nvf/obly5djxYoVuPnmmz1qXMmeNffNS1EUnaJ5dSE/Px/5+flo3rw5/Pz86nVNQ9AoRjRt2jSoVCo8+OCDePzxxxEbG+vl0hMEAUeOHLkijayOrKwslJSUoFWrVs4FNXHiRKxcuRLffvutM+EwPz8fK1aswJgxY66a1DqyU2jIB0VItX5UNHBbdWOB0bIiEgCzVBBVZ5Dq9KgBCMx/Ks6lfLYxgDvJVjkEUKDRZQzg78ERNH4i4+jFaNkVOL2PCfOlBfAw7kSRRhVE5leFxwB9RgN7vpOKDdsYFidIdZnksENTBUmfIYBt9g9maFN+Bo0urUS0dEZeE90C6HEDd/TPHKAhe3IP26zSUM0uJ4WGqlgJqAysa1SUzdA8h8O5Aw6HVIxUJdWj0vkBzdsBd8xyCzMS6EFr0lwiInqSM5uNx40BVCkUHRz3i8fplagso2dNrQVad6M3Jy2ZY22vogfFaoarUC2kcbEzbPDXDdL4SjlwAA1+jZZS5RBoKNutfL5GSy/ArlX8rHl7eqGKc1zqj8X5QJOWQFUpi/7a7a4CxEW5LM479A7Od9YFfm53Cw9VqUmqOiVRfU6j5RiIdp7rXkvL7pCKLFe56iPFtHIVaDZVE5gQJUPeYfeuYeYOu419Mgbx2SPuo0jI4a28v8XENV2cTwl7u41tsNskD6PIUgBte/JdyE0FVHrIXleotJwHQwDgp+ZYnzsk5YiJ7GdJvnQvMP8q5yI9RYGh/FwAvba9R5IYfT2fa99q5XjK892iA99ni5njknGGRPTUPuDbt7g+NTqurYBQ9rljfx4/8pOUuyapWao1DOEsKXB7LQUSk/Z9gSYtmItVVsD+mSpYCLy6bD6kPkFwfTf4h3Bthzbhd4egYt7VgU1S0WYr73fuEN+10Gigx3DOgakMcKh4z+Jcfr+oJFn+ilJKv1vMJNZyiB8E5ov5B3OdygWxrRZ+1/2BpdYVKFDw22Pu3LnYtGkTBg8ejBkzZqB9+/bIysrCihUrsHPnToSEhODvf/87li9fjpEjR+Lxxx9HWFgYlixZgpSUFHzzzTdeuYxXEg888AAWLFiAe+65BwcOHEDTpk2xdOlSLyNcpVJh4cKFGDlyJDp27Ijp06cjNjYWGRkZ2Lp1K4KCgnzmataG1q1b48UXX8Srr76KpKQkTJgwAXq9Hvv370dMTAzmzZuHoKAgfPDBB7j77rvRo0cP3H777YiMjMSlS5fwww8/YMCAAU4V0iuNVq1aISQkBB9++CECAwPh7++Pvn37IiEh4YqNRVRUFIYOHYr//Oc/KCsr8yjfBADt2rVDq1at8MwzzyAjIwNBQUH45ptv6p1P97uUWw8LC0N4eLhXIt+VwIIFC1BcXIzMzEwATCJOT08HAPztb39DcHAwZs2a5XzBZK3+iRMn4rrrrsP06dNx8uRJRERE4P3334fdbr9ywhT1QXSCa2fbLxCAQKPm/GEaYTEtgfxMGjyl+TSc9f40bI2BNM7Li+H00ARHSknvFTRSinJopIU1pRG9ZzWLu2oNrJNjkwwxvR8LqsrQ+wOQPFBaA40ilcq1i1+QIXkBREAjyZvrjKz9JBfa1eik+j+VgLWKpMQs7bBbGLYGcyUJZKckhihlp/K4XxDvERTGnKbAUF5fVsBcL5sFchgjRLg8ZZYqVxHgHjcA979RzViTCGNpgat+kd6P4XgleRzXw9tcBXezU3k/cwWcBm9YDOsTafX0bJgqpXwgeOYayb9bJQNTpSGxNFWwXlVEHD0IBVkcP5tFIoPxJI2mSo6pKPLvpFs5jz9+Qe+Z6CApsVloaGecdXk3BWkszh0iWTT4S2RCT6IrSORo6O00aNv1obezaUt+fvEU56aa/DnD6nT02rToyJpVpkrgTBEJP0R6GO02SXpb8v7pDJI3Q6qx5LC5DGxBxev8Q/i87Av0ulw8QU/P+CdITrcuZ/8qing/CEB4LNdZfgbzfPIusiaW2SRtGOSTdOuNXGcysZH7ZKmSjH1BIolaQB/I4sWXTrM2V2mhSwZ81AMkMN+9Ry9ehUQOjP4kUelnScrUGs6zKAL7f5AKIGulIsB6l5eqTU/WrVr8EtdUaR7n3GrhuDjs0sYIuHZE0UXio+O5Zq2S0E5OKuDL8yWjqoxjlpPC9yv7AhDfGc6i2Go1YHa4ntmuN9fmhoUcC9HBOXQfPwck4iayvTo//i6C4Z3lxa53M+UYnJsLRn/Oh7mS6yjrwh9Oal2BAgU+UFsOViPzr2JjY7F371689NJL+OKLL1BaWorY2FiMHDnSSV6aNGmC3bt34/nnn8d7770Hk8mELl26YM2aNRg9enSjnltf+Pn54ccff8Tf/vY3vPfee/Dz88Odd96JkSNHepRTAFhYd8+ePXj11VexYMEClJeXIzo6Gn379sWDDz7YqOfPmTMHCQkJeO+99/Diiy/Cz88PXbp0ccqgA8CUKVMQExOD119/HfPnz4fZbEZsbCySkpIwffr0y+p/bdBqtViyZAlmzZqFhx56CDabDYsWLUJCQsIVHYvJkydjy5YtCAwMxKhRo7zasGbNGjz++OOYN28eDAYDxo8fj8cee8xLEv9aQBB/y8y+RiA+Pt5n1WUATiI1bdo0L2IFUFXl2WefxerVq1FVVYXevXvjzTff9CnpWRtKS0sRHByMkpKSxqmrpCXTO7H2QxofDjsNx8g4epnsdhpaOSk0LB12EoEeNwIr59ObotK4RBAcDv4e34mGjd0G9LuF9z60hQZfRDMaVwKYd3HsZ5I0gIaSfwgNQLuVO9JxiUBUAnD+IHf4ywp5vVz8VTa2BBXPNwYAgeH0GB3bwfPsNrYrIAQoKaRBqNED3YYAD0su2eM7gB3fkEhENGMI1oZFQPJeGst2qeBvcY6nZ6jbECC8GbB/PY1niMA9rwAj7/cc6/0bgBVvcrc+6wJ3/wsyOb4hUTQCNy+h4Wq3k+wGR9BgNgZwN75LEg3NkjzJ0LS7SIJW7/KieXkPmHODyOYsNhwZx7Y47BTxaH8dhQXCY9n3qjLg0kle164PcJM0Fgc2OnOBIKgBOEh21RpeI3s9gsPpFWnRHkg/R6JjDKSXJb4TMOR2emEAjtvZgxyDg5uBM7/Sq1mTtL5KQ+NYI+UwmSq4bjRahuCVSIRGdADBUdKaCnYR5IsnXd41rY4G/ugH6YU58yufKzqAll2AJxdyDX32shSqaQX6jqYhXlnmUra7dBKoLCcps1ldIYGCimPdvB2QdqYGAiJ5PVUSmXGSB4Hk/t55JFUAsG4h21JZQu+Z3kCP4ugHgQObXWtVAMfF3ZsnCBwflYpjGBLpUpmMas7n/rQc2LuWpF10cCy0eq5NP8mzFxQO9BnFdyX9NOe1JM+1DmuCRsv7BYTTWyx/L6SfAXIvcuy0Bq71bsP4HlaU0Isc2xrIOOfajAFIFkW7ax2IDvZRreE/lYqEsyTfs6yAWsv1l7yP9/cPBh5+y7UeG4DL/v79k0IZlz85rqB4xVVTBfyDCFsoUHAlUN/v4GufHFUNqampdZ6zePFiLF682Ot4aGgoFi5ciIULF175hjUUEc2AjgOYX2Kz0Cg0V9JwjIxjqJ/N6jLuW3en18VikhLzJeMLoKFnkmpa6Yzckd/zHUmAfwjvX5DJ3fqYVjT8QppIREEKG3LYSYDKi0mGLp5k2KBsaMueFK2e94HAHW9R5Dllhfy7SQsaZRodjaxu1zOkrCiX10BkO3NSgV43kcB1SiLBEkFvyrRX+XdhNsOVLp3i882Sp0ilomF+88NsS146ENmM96mO6AR6ZYpzgQTpGoDPFx3At++SZNlsDBMMbUqPjErNcdcb6c2zVJEkmSVvgUZHr5ZG6woFU3kKJsgJ/whtwvmMbMa2ZJ2noWyuAhL7Ar2Gs+3ZF1jTCCL/3r8ROLXHKSoBwBVuFRAmeYGkkEhzFQ3WsmIazIFh9I4k3cp8lrwM/kuTkmt3ruKYyOFovUcCmz8D7DUp3TkYCmcx87mB4TzsF+gKr5MN/JJc/pSN9GaJJJeFGYBfCMf55of4DtgsNLLz0tlOjd4197Kn0z8EiG3j2mjITWOej8PBDQk5zE+GWsN5qyhlCGhOCrzhAARNNVIlwVxFwtd5ENdnZCwJoqkciIjhO1peRELa80Yeg0iVvOJcz3tpJK+TQQoRuXSapObAJmDqqzy24xv2xx1WM9+n8iKuv6YtScJ1eo5RpTRPctv9Q/jTZuF8CioSIgfgDAvMzwC2f8X3Uat3eawrS/idsOd7biqo1BzX/Ay+soIceivleKqk0EABPFetk4htFYlXeTGPu5NZYwAJa0Qs12VRNnDZ0voKFChQoEDBHwuNJlalpaV4//33sXXrVuTm5uKjjz5Cnz59UFhYiMWLF2Ps2LFo3bp13Tf6syEtGVj5bxpgGh09E9mpUriTEcg8z514u7QTbKnirnVhFneWHaIrnKppSx7XGV25RoVZzGEolYiOqUIibjYSM5WKhObmBxmOlJZMo8duY9hZaQHJS0WJJ0mwW0ngzFJIngC2z07VPmi0fC5AA9RcxWeVF3KHPuUoj9ssDCvMveQ5Lqf3cUwObAJ6DqcQQ1wiScnil1zeIIedBppMyqa+SpLUJN4VVrR/PfO32vYkYZj4tItIZafAGZ6Ul0EDz+DHUDCAohFhTQGjkZ6Gtr0ZXmeSQgM1GiCqBftnk8LC7JIwh8fmnODaye84gHlrgsqzLYLK1e60ZHqnTuwkefl1E8e1vNC3F6kkj8atnBOk1kk5X5LXSK11Ee9v36WnQACQ2BsYOJFj3bIrn2ez0HsV1YKhdabKamRDALRGV16dRkdPWXgMrynJhU8xEYed4xYUBmSe431NlSTwhVk0sptKRN9qBkKjSAgPbCJ5slpJqCwmbhTkXJRyraqkfks5haGSBysvw0U8gyOYZ3V6r/fYyfBVT04A72ezSp4ukIQaA/geAmxPeTHz1Aqz2eaQKFcInzvkMdNGSh5iaZxKC4AfPuY7Wp1UqbVcT3ZpsyOkCWuzJe8nKQE4Xhnn6LkqzefPFh3pEdu/jjlVoOIjNwZMJPOmSqlUg00qe+C2OVJRzLYERwE3TuXfp/cyvLiiRJp7LTdPci/x/lYLYHdrv93CSs0hkS5vu0bPNRAYzvkuzuXPP1hxYAUKFChQoOBy0ShilZ6ejsGDByMtLQ1t2rTB6dOnUV7OHdawsDB89NFHuHjxYr0VOv5UyE7xNGoTOtOwPrWXu8R56TSSRWkXXhSZE1RaCCR0ohEnG+V9b6YCXH46k9F73giseodETQ7F8g9iuE9VuWSoF0t1ngSGMm35jEnqVjN3sm1W7lRXr0tjswDlJW7GqMDd8+AI5qBodDS4IEi5FwZ6FEoK2MeY1iQXEOhd++Ejl0dAHpOIWIZE5aeTCEx8mt67gFCXcAVAI9Ld+yJ7K9KSge0rgE3/c6m8Aa5woyUvMcSvsoSeMasZyE+jZ0N00Ii1mjn+RbkkVhlnJC+EiqGMop79BjhGpYVwkQrJIydIeTU6I3OdDm6mt0omUb7ySrJT6MkwVZI42CQiq9HRwJafoVJLYYBqV06Pw+4iX/JYFGYyZwkivV6mco7fqV8oECIXgQ4MpxhGRSnFMqLieI6k0geABrndxrWk0UpiHyKNd5sZyDjvY6FL5FVnAE7vl3KvNLxPeTE9QrlpwMDx9KrJazo3jWugaQKQeox5ZAZ/tkFvlKTkpXFWawC7yLUdGMZQxcg4emfb9ARadALSk12bC04I8CaCEjQ6ErymLTlf8tps2pLvprmS5KHMwo2D/Ayg61C+y6UFPoZBWg8d+nE+Uo5Lc2skObVUeV9jtzFsUK1mMzPOsk92G3+2k8OCpQ0arR5o1QXITQf0eulaDfOfwmNITk/uplfZP4TrLz+T75Sz+Lc8HioSotAoYOwjfMbR7Vw/dhvnO/M8+wTpu8lq9iSpooP3VqlJ3mwW5gj+9AUw7E5+T7TpoeRXKVCgQIGCvxwaRayeffZZlJWV4fDhw4iKikJUVJTH5+PGjcPatWuvSAP/cIhOoFF7YqekwifQMMlJoadCFCkIIRvTxgBJKU1LL01+Jg0tYyA9MoMmuTw22RdImqxV4G61hvepLAfgkDwrNuDYTkk0QkejVVdOo7RFR9qcDgfD76rv6Lv/rdXTW2Gz8R7GAHp9SgslBTBJMS84nGFtKcdoWIoO9is7xVlbBxA5JmcPcjxad+fYyLkxarUrBEmjo4G48X/0bAjgrrlGx98vHKNnoEUH3uPsQRKrYztcoY1lhWx7ejKNXDksT2/kz/TTHIPoeCD1BBXhbJI3SCOFOml09GwVZUvhmW65Ljo/tjm8KT8rKyJJq2td+Ekk2CaJA5ilkEuVmoWg5VpW/kEkQha3EEFfyEvjfJgrXERZqi/l9JzJRKZHXxKtJi1IrGRxFI2W4X42K8lhRRmgLXYpTeZnSGTOB1kJCmduV+ZZSSihQPKoiRy/rAsct143ua5JSyapTjnGMWvTg2taLqjs/hy7nXNmDCKZ0Bld93SI9HruSJTCCqX8H62e4+aulugOlYaFlm9+2GX4W8xca7IAhQj+dNhJ0k/sondNpSFxcSelKo3kORSAfuOZF3jsZ46DqYLvjlbvmZ+nUtHjU1FM4iTntBkCOKY9h7tyCfetYy20swdJdLPPuxUuNjHcsryIfwaEkjDdOJV/r/2A69v9vbZbSYZl4jNwPMc095IUNinSK6iWcqwcdrcQWGleNFKihhzCKoLjUpjFjZygCOD8EUUVUIECBQoU/OXQKGK1adMmPPnkk+jQoQMKCrx3cVu2bIm0tLTLbtwfErKxsvVL7n7HJZJgWM00OOSd/qAIICOZRm2TBIofyJ6XVe/SyNu5igaybJjK99H707gqL5FyO9zCugSBxlr7vjTGLCaShlyJIMg1Z9RqeqMqSqQwQ40rJwMCjezIZvSy2MyATQec2U9j3RDAXC6rhUZc9gUWrlVLqnEaHX8/sInCBRodPW56I8Pu0pLpIRAdrjAs/yCX8alSk3ydPcj+9LiR97KYKGyQe5HGYEgUDUQn5DwlB0PT1Fr2sawIaNmZXo5Te3ns7AEq5ZUVukiJKNLALS2kd80kqei5S67r/Wj7B4SQ0BZls38WE3OHAJLK6ARPozIuEZgyC/j4WbZNJlECuBYqy8BCYSDRUKkkBUYp5NJXuKCgcuWm2SVVPlmCVvacyUTmwhGOl6yEGBTGuQ+L5twU51CC+8BGKWT1HMmELEihVnu2QVBzvk7uIsnRG6WQVTtJa9YFkoTq+U1xiVzTx3dwTq0WkriqMvZX7ZYXpVJJypMVQFQz9lPO/9v0P3p4O/UHMs8AgRFcm6ZySaBFJdV783d5XGQVx+rtCYmSBGb0EjF1J51BfE5aMgm53UalTrtNIvwahvDuXw9gPT2CzduRVKSeoOql98S5pNphYU0wvZ9UZDuAGxVpyQwNFEVA5y+peepdXjO5X1ot105IJNe5f4grF/HCMVd4pUMSYgltQgn83iP5jJ2rJG+n3TOPTSaZajXnV6vnOQY/eqhzL9HDp9JwvAsyuP5yLkrKjJmcY4VYKVCgQIGCvxAaRayqqqpqLfRVVlbW6Ab94SEbK/npNHRO7PY08GNbu3KdAsKAgGDuajtD36Qws8Q+9HrtWAkkTXTlI4mim8CC1m33WoLooCG69wcqm5XkAWnSLn9eOg3qmDb0Muj9pEKeIpPu5bwhgx+l3PMzaETmp9MIt1npbVFraAC268TrV73LfJCQKKkAcbhLNlsO/8s4S4MrIJT9HTiezyvOBXpKxLG0kOeI0jhGxjGM7eBmqfZRCYlMYBjQ43pPFbzOSUBcBxI8vT935cOiGfInCECrHvRSmColoYuuDKuCZDRmp8oDSCPfXElj1ejP8S7K4cfmSo6l1UwhCYedn2t19JzI4VshUSQQ7oal3NaPnwEuJbsM1aRJwMmdDCOzW6UcHGl+dVK4oLuXRPbqWM1AWR49PxYtjW+1xqWqB7iIjLvX89cNnKfAcCrXVZVJa3UXSVa7vsD2r+kJcdZQA9slG+AqlavekejgOozv6CJfrXvULGAgk75OSZ5etd4jKT0vF+nV6jgHhgCGl8qiGQDHfN86aaxsvI9Gwxyzk3vYRrWaREfvR2+KSsUw0JTjnCd5fmLbcKwB3kNndJFqm4UEsbyIv1uqmPcVGcc2qdT0QpYVkrzI74HZxM0CgGPj7rES7RIp0rtk2EUpb2n0DLZp/wbPkOLwGJIZtVbawJA8TyoVJdQtZnpQO/anx2zLUpe3MTiS768s+pF6jO+XHAbZ8ybOf14a2yPaQfEPlVTHTs3vLEMA0PsmbvQsm8v1brfxc0Eio3Yb3+PAUO95V6BAgQIFCv7kaBSx6tChA37++ecadelXr16N7t27X1bD/rCQjZW4dsw/atmFxlhpgSvMp20vKSxuK42ovWuBjSX0LAwc7xlKeHgrd4HlfKToeBqJpQW0rz1ySwBncVCrmbktKcco/S0TrhIHr7XZaLgGRQJmmZxJO9ZaPXOm5MR2EZKsdCB3/pu1o6eqUxL7W5DF68olz9CNU0modq5yhf9FNqP3qk1PGmv5GbyvVkdvikbL436BDHmKiOXu+8kLNN5VararRUca1UOneIaYxSWyv7mpDFksL2Z/8jMYIrl5CT0P7t4SWYXRECAJXEgbAg47vQAavZT/ViB5UiSvh+ggmSkvpqErOuihCo1mH1t2ZZ981fHpPZIk+pt/0xuiUgF9R9EL8KVkrFrN7G/b3q46VucO8tmWStc8iQ7Oo6y8FxxBklBdPdE970v+efYgr9+3jsp8pnKOfWJvzteJXRRNkJ8lK/RZRUCnc4WGutdAyrlIIQ+/QM5lXQIG7l61A5vYJv8grlPZS6fWAP3GAru/Y/9lUqnRkhTmXGQu4ondfK6co2audHnZDH7cZKgo4XWy2Ig8P4Mn0fOWfsZVp8tikta75GG221z1zaoqmcsXEctQQauJa1JW1ivJYyinX1uuGVkYQoZfMMmvCLa1OJebJrc955KAdw8p1ui4iSCTlwvHKIAT1pSeovJieq+LsoG96/hOVhRzvGwW9tk/mO9nZRlDZo/vYPutUhikLCySeY7vZHGeVJdOIo+lBWzTzQ/z/kHhzCs7c4Ae19xUtw6KnHtfKp4KFChQoEDBnxiN0sOdOXMmvvzyS7zxxhsoKaHR4HA4cO7cOdx9993Ys2cPnnzyySva0D8MohNoCO1axXCY4hzWKxp6Bw2hMweoDucQ6T1yzzsqznUpy3Ub5pJsL8515SNVlHJ3WZbgrg5RpIEV0YyGW1CkpHYmGX0WKbRMtJMI5KTSW+MujlBRSgMrIITGpQA488GatABuuIc5IHGJ3OXOSaXhZTUznGzk/S61vpH3MRnfXEnjrkgSwjiwiYSyooxksXUPGnJyPs/FE8C25ZSFryx15ROlHOO4+TLYI2PpHSjO5fiUl7BfoU1oKJ/YxTZHNOPOfFw7hnG16gp0HUYSpdYCUNEDUZAOpxEPEc76XnINorAYtqNdX0rId05yiUaERNVMKjon0egMa0pZ+SbxPBYRC2chZkFgbk1UHDDiXskDqKHcNSUbXfcz+NO4TZpIFcW6wq96jwSmvMj5TznOEM/8TODIVuDLecCGT6V1ovZcVyq1y9tSVc71ISsTag1sf9KtbMOYh709drWhqozvSmWZpAYoqd2p1MDPXwP+gUCngRyrqBbA7S8AYx7hWJ09SEJ5xywSVIeNa72qkiTg7EGuAf9gknVf8zPwVqDfGErHx3eUiLyBcx8WTSEY/2DeWy3tR5kruY50flw7gKTYqOHfdukdEwTPvgaGcd6N/lxnEc3Yp6jmrnPkkGKNJHWevJ9rplMS56aqjGQ79xI3NgRIAjYOfi4IzDMTHZy7qnJXmKi5ku/RzlUkW9kpDFs8f4h/l0ikyhhIgZXgSL77PYezXTLpU6klciaRf3lcjEGcCyUMUIECBQ1EcXExZsyYgcjISPj7+2Po0KE4ePBgva7dt28fHnnkEfTs2RNarRZC9e9eN3zwwQeYNGkSmjdvDkEQMG3atHq38eTJk5g9e3a9ygM1FGazGc8//zxiYmJgNBrRt29fbN68uV7XJicn48knn0T//v1hMBggCILPNhYUFGD+/PkYNGgQIiMjERISguuuuw5fffVVvdv4t7/9DZGRkWjWrBn+9a9/eZ2Tnp6OgIAA7Nq1q8b7FBUVQaPR4Ouvv67Xc/8oaJTH6q677sLFixfxj3/8Ay+++CIAYMSIERBFESqVCnPnzsW4ceOuZDv/OIhLpNfm6DYahpdO02siG/PuyngRzVgYNeUoz5GNvbhEGsk5Fz2NwOwUaUc/jGRDpaaRVpTrkqHWGxlGaKkiMbFZeE1ZESBK5EpQ8d/5Q8yVER2u4qvu0GhJ0mSxheJcGvDJ+12Kf0U5PC+yLX9XqTzl0Efe7wr5qq4MJ49FZQnHonk7krrQJjSwDQE04otzpaKzXbgTLxt4XhB4T62eXoKAYHpiinI4Lk1bMcQKkrjC3rXs2/EdlLwOCOX5lWVwFnItyOZ9wmKolhYQBDRtDQyXvHLukuqAZ9hdTYZl9fA8+byew+m9UesoC2+uJPEszKaKXmg05dkLMiXvmkRAbFYa/yFN6rdG5TCw1BOcL51BykNycKzNVa4C0E4lRLA9UJHkVZaSGAaF02sSFMG+RMTWrIxYE47toAfG4eBz5aK+QaE08k2VnJO7Xyb5cJewL8riu6PRMK8pMEKqWyZ5ch1Su/et4/jeNN1bBt+9PEJQGDcJQqM57+4ewF4jgV3f8l0RBFctKpuZ4+MX7Fo/FjPQPJGE7ewBVyinWkuC2GkglTMFges/oZMPIu4WFix72ESR3xcZ50iWtDr+0wcAlcWcF7m4sM0utSuQ6zwojO+XWstcR42O70T6GReJlj1+wZEM+0tLdhX3HjSJ57ivX9HBd2r9Qslrp2I+XHTL+s+/AgUKrigC1MCCdt7Hfu9wOBwYPXo0jhw5gmeffRYRERF4//33MWTIEBw4cABt2rSp9fp169Zh4cKF6NKlC1q2bIkzZ87UeO4bb7yBsrIy9OnTB1lZWQ1q58mTJ/HKK69gyJAhiI+Pb9C1dWHatGlYuXIlZs6ciTZt2mDx4sUYNWoUtm7dioEDB9Z67Z49e/Duu++iQ4cOaN++PQ4fPlzjeS+++CJGjRqFf/zjH9BoNPjmm29w++23O/tWG+bPn4/PPvsML774IsrKyjBnzhy0atUKd9xxh/OcZ599FmPHjsWAAQNqvM/GjRshCAKGDx9e6/P+aGgUsQKAF198EXfffTe++eYbnDt3Dg6HA61atcKECRPQsuVf/D/V0KZSMr/eJbcs7/JWV8ZL7O2p/OcesuXL+I5ty11lVSgFJG64m4VfLxwmSerQj4bgtuWuvAmbxaUMJsKleJefToPUYgI0BkltEDS0Ow1kPtjZg5KCocCfWr3LgybnfekMJC9B4SR5b81w1dUB6CFxN7RlQYXqY5E0keGOooNeveS9rjC98iLg4nHeMyK2hoEXpVpbAvNNDP4kt+ZKoPcojsXZA5yHlp3Z/6Bwhu81bcnnmCpJOG1WijcIJqDM4aoR1nUoz4mMYyiiTFLkOasvqah+Xloy102bHjR0AXo1T+0Bjm3j7yo1CVZYDIlXUATzctr0oNdi71qXjH1NbXAnEhYzje6SfFeej9XMuVNrJTEMgWtHFKXFI9KzFB7DfKCo5vSa7PyWIWmr3nXNeYMgcFzlIrWApHhYyXksK6QXUw6VA+jJOneY7S4vAnasIME0BkqKim7CGXojQ2QheL5P7uURLhwBrruZc5t7icdlcZTFL1HS3CKRB4cD0Atc/3npJKGiyPGKTeRaSZrIjYXU48DGRTwmqOnp2/ktBT7kEFdfmwXyd0Z1D5vd5vIYWs0MAXU4gMAW9IwX5wGblnDtWs0kPMZA5k1mnOX7lnbatXHiH8LQTUHFGAadnu+He7Ht6hsF7utXnutdqzjGao3vMFgFChRcFRjVwKNx17oVDcfKlSuxe/durFixAhMnTgQA3HbbbWjbti1efvllLFu2rNbrH374YTz//PMwGo147LHHaiVW27dvd3qrAgJ81Ci8Bti3bx++/PJLzJ8/H8888wwA4J577kGnTp3w3HPPYffu3bVeP3bsWBQXFyMwMBBvvvlmjcSqY8eOOHv2LFq0aOE89sgjj+CGG27AG2+8geeeew7+/v41Pmft2rV4+umn8dxzzwEA0tLS8P333zuJ1c6dO7FmzRqcPn261vauW7cOAwYMQEhISK3n1QWbzQaHwwGdTlf3yVcBjSZWANC8efO/bshfbeicBCT2dXmlOiV5qqHtWMkd47pqH7kbf/Lf0151qc/J9+08iIqBpfk09qNbAju/IZGw26Riom5Qa1wy7xYTDcKQKEk6XFLJ2/kNMP4JGpan95FoqFRsS5MWbLesXBYRy+f0u4WFXovzaPSVFrjk0Kv3yz3XSfbWyf0B2IfjO+itObCJRrt/MImTL0EEWTTEJim1RScwvK3TQLZBJdCQDW3Cn+36UCo86zzvm3WB18l5VoIg8Qgp/M9PUi3MTuV1cv9rE6uoL9zvYwxiOFtRNtsiix4ERVK8oSiH43/9neyD7Mlc+2HtuV0yqhOJgbfSMyoCuHTCJeLhsJMwW0ygtS2FuAlqIDAYuOleF8nZv4HjbjUD5w+TXNUmtS2TUVk5sXMS+3J4Kz+Xywg47JwHi4kEJDjC8z4l+TxHltEvyacQSFQc157odq4hgPlKZ371nKvq5EX2Tu34RtpAuAhENue15cVSaJ1E2KrKgEKB15XkSWIPkkJe9+td9xrzCMny2YNcY+cOcQPCVMlwPXOlpyKfjJo2V0Y/yJptMmHS6vgOVelY9y6sqTQfktfOXEGvdaeBJHH5GRQuSegChEfz/c3PkOTuQXLq/i7Wtqbluew9gu2RPX+5afxMIVcKFCioJ1auXIkmTZpgwoQJzmORkZG47bbb8Pnnn8NsNkOv19d4fZMm9YzaADxIRUOwePFiTJ8+HQAwdOhQ5/GtW7diyJAhAID3338f//3vf3Hu3DmEh4dj/PjxeO211+okECtXroRarcaMGTOcxwwGA+677z688MILSEtLQ1xczYw5LCysXn1ISEjwOiYIAsaNG4effvoJFy5cQOfOnWu8vqqqCqGhLoGisLAwnD9/HgC9jk888QSee+45NGvWrMZ7OBwObNiwAc8++ywAYPDgwSguLsaRI0e8zk1MTER8fDw2btyI1NRUJCQkYP78+dBoNHjvvfeQmpqKAwcOoFu3bvXq/2+NyyJWAFBeXo6ioiKIPgyD5s2b+7jiLwCZAPnyQgE02mSiUBtqMtx9GSvyDrss0T7+ce6yp0lqf+5WZmE2/znsNGJVkkx3ZSnPs1lpBJ45ANwwleGGqccpAFBayN11gGQu6wJVxS4ckVTXJNJWXuzyptQ0RrIy3PEd3uWa5M/3b2DuT2QcRTti2/jOXXIXDdm7llLoFSWs16XR0lOVncK8lIAQGpPOWk+Sx6Uwm16+iFhJtENgfSlZzKB5O5cwR3YKPRXuJKWxu/TVyU50Ar0IKrVUpNciyWwLVKzLz6D3ZPBtrufVJ7cL8CQSGh3HFGA4m0pDr53VQgO8eXvWAvMLpKEsCFxKMW1cYWHyPeV7hTXl+qlpLGpa01NfBcLeB374WKqRJgARcVI4YAGVJh0A1i2UFCATaczvWcMwu8AwkpPtK1hLKj2Z/XA4SGZEB8Ny+4521VCT11h18uKuyHfhCNtTXuISEgFIMNWSHLtKQ++mXRK+sFo4Du7v/cBbuR5lb5Fod4mgAFKRah/w9b53HgS06k7SJ6sC2u2Aw0SPVHgMyaZdyjUzBpKYRzXnZs6vG9mGs78CedIcNNjD6GMuB47n2O74hnl6Bzbxe1AhVwoUKKgHDh06hB49ekCl8tw87dOnDz7++GOcOXOmVoP/amDQoEF4/PHH8e677+KFF15A+/btAcD5c/bs2XjllVdwww034OGHH0ZycjI++OAD7N+/H7t27YJWq63x3ocOHULbtm0RFBTkcbxPnz4AgMOHD9dKrC4X2dncXIuIiKj1vN69e+Pjjz/GkCFDUF5ejuXLl+Oxxx4DAHz66afIz893EqaasH//fuTl5WHUqFEAgLvvvhsPPPAAjh8/jk6dOnmcd+bMGfzjH//wuH7RokUwmUyYMWMG9Hp9vUnl1UCjiJXJZMIrr7yCTz/91GcdKxl2u73RDftTIDeN/7IvABBogB7bQWNfq+fP2mq9VDe4azJWfZ0nG0r//RuQecHtZIEJ6VUVcLIZtaT+Jeel2CWluQObaLBaLMyrMZvorYmIpUGVdZ6G1IldDKVr04PGnnyP0Q/Sc7F/g3ddJ3ec3sf2+wpji05gHgjO09s0/nHf96keatmxv1TY1QJ0G8rfTZVSvSAz2y2HKO7f4CqQW5BJA71JvOShUdHz16QFcMcL7I97To6salgXoZFR3Vvj3vYDGzlubXoCHQe6PJ4JnUkIM86SYFUnLzV5NnzB/Vw5102W9A6J+P/27jssiquLA/Bv6CjSQVCJBewNUcSG2CX22KPGElvsmhgNGqPYFY1JNEaNiRjlUxNLbFHRqLHGrrFXVEAQEaUodfd8f4w7sOyCy7KwC5z3eXh0Z2Znz862OXPvPVcc72NqLr6WLXqJzzXhpdgdz9ZJjCd7YQK36uLrsmWROL4op+IiQM7vabfqYsvOzVPA49uAibHY8vTRxMyT9X2rxQSiqhcw5jvx9Zv4o5go3L8EHNsiPr65pfg6m5iJb3FzC7HAyM3TYmuRosUxa/zZ33NZk0/CuwIm76owyuVi4mdsIhagiH32roDDu9ZNuUx8LEWLTfjdd9Ue08TqhRWqAvVaAX+tE7v0WVq9m2NMQ9Fh4mvUso/YQgwSE6yMdDGJUnRRvXNe7N5rUVp8TMW8cWHXxSQ4e5KZV1lfy5unxM+enMTxcmaWPJcVYyxPoqKi0LJlS5Xlrq6uAIBnz57pPbGqUqUKfH198cMPP6B9+/ZSKxUAvHjxAosWLUKHDh1w4MABKUGsUaMGxo8fj82bN0utXepERUVJzzWrrM+/oMTFxWH9+vXw9fVVG0NWc+bMgb+/P+rVqwcA8PX1xaRJkxAfH4+ZM2di5cqVsLS0zHUf+/fvR8WKFVG7dm0AQJ8+fTBhwgRs3rwZixcvlrbbvHkzSpcurdSKCYjFMR48eJDr1E/6olViNXbsWGzcuBE9evSAr6+vUpMgg3hSEzxLHCOUkSGOWXCpIiYfTh9ALAaQrRVJnZzGWGi6nfeHQOPO78Z3GL+74k5igoR3Y3bkMvFKe2Ky8j5L24onlfIMcZyPtb1YMS3r/FO1W4gnVJ6tM+facqmSeYIP5NxVTpFgvK/VR9OkQV33wvLVxBaW2Eix1cXY9F0XP3m2O5OYxCS8zJynytxS7BKVkZ6Z0Hl/qNqaoRiT876ERvGcc2qBrO4tFv1IThJPuJv3FKsVVvXKTJIvHMicPFoxwXLWpFXTE9isZc4Vkwe7ume2OACZXcGcKognzLbOmd0jFYUJsiaJLlXEgg+yjNzf1rm9p6PDxMIdZT94V50yXnwtHCuIrTIpb8X3453zwL6fxDFA3h8CEIALh9617r0rLGFXVkwwrB3FYg8pb8XuuY06KHdzy+n4ZH0vvYwQk583MsDcRLzYYGwiJmu3/n1Xcc84cyyakZGYuCi67AbPyuxKqHhf+fUV/92/TiyGcWqneKw1aTlStBBeChXH5ZUqIx47M0txzKVLFaBWc8DGGbC2FSsQKqZGUIwbO7dPfZKZF1lLwiumhkhPyxxvlrVyJWOMvUdycrLarn4WFhbSekN25MgRpKWlYfLkyUqtbiNHjsSMGTOwf//+XBMrfT1/uVyOgQMH4vXr11i5cuV7t69QoQKuXLmCmzdvwszMDDVq1ICRkRE+//xzVK9eHf369cOpU6fwxRdf4NmzZ/joo4+wbNkypTFQf/31Fzp37izdtrGxQffu3bFlyxYsWrQIgiBAJpNh27Zt6NGjh8qYr169ehlkUgVomVjt3LkTI0aMwNq1a3UdT/EQHSa2cphZArIk8YTKrqx4UlOjser4q5zkNanIvl34XfGE1NJKPLFUTOqKDPGcRyYHIBdLeGedCNbERBwv9eAy8N8x8Qp9Rpr4HBQV1RQnx67umUmVIhbF/7MnIYqkKXsltve1+uS1IISiCqFiX4ruflsWid3GSttmK4AhiN0DFSfzb16L1fcgAD0nZxv7lS0xcCyf2TKpiCEn2VtrbpzMTExePRcTXzNz8f/H/idu9/xJ5ngl7w8zE1dF60N+xndp8v7y/lD8y/qaKeZby/r41RuL7xGv9rm3rub2mC6V3xWOePKuTL6zeFydyotd7jLS3k3OnAz894/4nu79BQBSnsxYLhOr2nUZk/l+06Q1L3uc0WHiPmu3EMdvvU0Uk6e0FLFLX8pbMcmKe5Y5XYFiLJiiyp7iu8DI+F0FRkvxPfb8sfhcFRU7NRmblpWAzK6ZgNgVkUhM0I78BoTfEz/HtZsDXcYqdxmNjdQ8ycyJIqmu7v2uQMZb8bFunhK/E2QZYqLIc1kxxrJIS0tDXFyc0jInJycYGxvD0tISqampKvdJSRG7Yb+vFUTfnjwRe+xUr678nWpmZoYqVapI63Oir+c/YcIEHDx4EL/99hvq16+v0X1MTU2VxjTduXMHq1evxpkzZxAXF4fOnTvjq6++QuvWrTFs2DAsWLBAqjYYHR2Ny5cvY+7cuUr7HDx4MLZt24aTJ0+iZcuWOHLkCJ4/f45PPvlE5fHVjRMzFFolVoIgwMsrh7EzLPMEMe5dtzIrW/Fk2bVK5lw0WU/8c+sqp22VOUA88Ul8KXYtu/2veGW8QjWxC6JcyJyM18gI0jgsY1Px5K5KXeDsn2JSBYjV0OJjM09ONUn4cmqdyKkSW15OfPNyLBTd/ezKil360lKyFcAgMfl9FS2eEMoyxPWK8Uc5taBlrV4IQUyac5tHKnsXs0uh4om7rbN4gmpmIRb+MDXPLMoQdl25O1XWsWe6GN/lVl3sqnriD7E8vroWk/C7mePpFJPr3r+s/PgCNB/nlfX1yd410n+YWEL9daw4kfLxreLnpv0n4mO8jBRfv1rNMruxQRDnQjM1E4uvlK2s3F0xt8fLTdbXSy4Tx6FZlBYTLNuyQJsB4ntg1/fihMHmlkAZO7G7YtaLJopkEQBAYsJBcvH5ZaRrNjYtK0XC59VefA+9eS0+LpFYJCPhpZgApkDsIql4/7i9a3G+f1m5JTSvx0WRZCu6AlvZiYntzdNiUlXdO7NljLsBMlboYtOAmtkKyN1uBjgaQNG0M2fOKBV9AICwsDBUqlQJrq6uakufK5aVK1euUGLUF1dXV0RGRqosL8jnHxgYiNWrV2Px4sVqExhNTZkyBYMGDYKXlxc2bdoEe3t7BAQEAACmTZumlFgdOHAAFhYWKu+Djh07omzZsti8eTNatmyJzZs3w8XFBe3atVN5PENOsrVKrLp3744jR45g9OjRuo6neFAUr1B0BVI331H2lpv8VJXLEQFR75Kr9DRxwPzDa+JyuVwcT6OYC8nkXcU3vKsQSHiXVCm6LArixKnqTlZzOw7qEjB1ldh08bxzPTl816qR8FJMYGKeZt7n3iXxxNTeVXzN5HLxaWedIDf781IkN4qWSSKxW2NuJ8Y5jW96dE0sLDDom8yuYW8S3lWRMxVPnrMfI027ib7PhQPAT1PEVhRFMZXsJ9y5jafL+hpmvWCgyeup7v0PQaxY5/QBcPVoZkuv8wfAlJ9VK0kqnrfzB+LYubKVxKQqpwQxL5+3rK/X+b/EBDT5jVjQpEJVsashoNr9NfsxUHwXxEWL3f8cy2e29pmXFguymJiJx1WT1zHra1/aVny/vIwS3ys2jmLXxOR0sWUv4WXm+wfIfNysLaHZW5AbdsgsEKKO4sKInYs4gXfVhuJFCc/W4vvi4Abxc/HwmuYtcAbiwoUL2LhxI44dO4bHjx/DwcEBTZo0wfz581GtWjWlbW/fvo0pU6bg1KlTMDMzQ+fOnfHtt9+qdE+Ry+VYtmwZfvrpJ0RFRaFatWoICAhQmvOFMV0iALHpqssMQf369VUmvHVxcQEAeHp64uTJk5DL5Upd6c6dO4dSpUqpfAb1JaeJhxWVBu/evas07VBaWhrCwsLUJghZeXp64tixY0hISFAqYHHu3DlpvS79+OOPmDNnDiZPnozp06drvZ99+/bhzJkzuH//PgBxLFjWcVrlypVTShj379+P1q1bqyRHxsbGGDBgAIKDg7FkyRL8+eefGDlyJIyNczgXM1BaJVazZs1C3759MWrUKIwePRoffPCB2iduSFU6Cp3iZCK3q8CaFqfQ1ovId5OXCmIrjEUp8aRLaYwRiSdkJraZcz4pTqwq1hHLSMtl4nxPnbVIpNUlYHkptqCp9540C+KVdVmGmEQoxrSc2iUmDYmvxASpjIPYgpf6FnCrkXtXpqwtkxAyy+fnRt34JkWC0KijWPHt+WNx3fkDmXN8aTv27H3uXRKPR/mqYnGM7OXxFe9RxXi6ynXE94VLFfWPn5c41HWNJGSWtTezzGzpzTotQfYELvzuuyIVluLJfk6T02rzeVM8Jskz5+qyKC0m0oriFDm1Fmc9Ho4VxPvERYstVFnjaNkrby22WceAndwhjuN0cAWa9xCTnJ0/ALdOATIT8f2cEJc5ubC65684LlknL89tPjRFYqeYquDV88wuwddPii24RbR4xZIlS3D69Gn06dMH9erVQ3R0NFatWgUvLy/8+++/UrWqiIgItGzZEjY2Nli4cCGSkpKwbNkyXL9+HefPn1caSzBz5kwsXrwYI0eOhLe3N3bv3o0BAwZAEAT0799fX0+VMb2ws7PLMcHo3bs3tm/fjp07d0rzWMXGxuKPP/5A165dlcYfKcp7u7u7F3zQ2SjG+7x+/Vppebt27WBmZoYffvgB/v7+UgL2yy+/ID4+XmlMkTq9e/fGsmXLsG7dOmkeq9TUVGzYsAE+Pj5KFQGfPn2Kt2/fokaNGjntLlfbtm3DxIkTMXDgQHz77bda7QMQk8bPP/8cX3/9NZydxSJMZcuWxYMHD5CRkQETExPcvn1bSp7T09Nx+PBhLFq0SO3+PvnkE6xYsQKjR49GUlISBg0apHVs+qJVYqWY/frKlSv45ZdfctyuRFcF1OTquK5aHXJD9K4Us1xMqoyNgYysiZUgjuspWzlzXETLPmKsY79Tnh9LMdbmfV2GNNkmL8UWNPG+k2aXymKXzPA74knfy6jM7mxS0lBXrAqY8FK8cp9TBcKsz0HdvGKayCkxUhyXspXezQV0511luuwFN6CbY1itoXhyHHlf/NfWWblratb3aBkH8fhEP8488Va02mhDXdfIhJdiK6uVjfj4vr1Uj2v25x0dptn4rnx93gSxG61cLhbDOLVTfH2yf67VlSA/tUu8z9N3k/JalgHcqonvORMzMaHJ63F0qy4mMY+uZRahsXMRP6MvIsUWpIxU8YKBiWnmc1X3/HOavFyTcXIkV26Nv35S3EcRLV7x+eef43//+59SYtSvXz/UrVsXixcvxubNmwEACxcuxJs3b3Dp0iVpWpHGjRujffv2CA4OluahiYyMxPLlyzFu3DisWrUKADBixAj4+fnhyy+/RJ8+fYrc1ViWDx2K3meiMPXu3RtNmjTBsGHDcOvWLTg6OmL16tWQyWRSNzKFtm3bAgAeP34sLXvy5Ak2bdoEALh48SIAYP78+QDE1qSsXd327t0rzZmUnp6O//77T9q2W7duUsU7dTw9PWFsbIwlS5YgPj4e5ubmaNOmDZydnREQEIDAwED4+/ujW7duuHv3LlavXg1vb+/3Jgk+Pj7o06cPAgICEBMTAw8PD2zcuBGPHz9WOdcePHgw/vnnH6WpjuLj46XiE6dPnwYArFq1Cra2trC1tZVKop8/fx6DBw+Gg4MD2rZti5CQEKV9N2vWTKnFLTfff/89AGDSpEnSsk6dOmHcuHEYMGAAmjVrhnnz5mHEiBEAxMmDExISckwyGzRogDp16uCPP/5AzZo1i+SwI60Sq2+++SbHplD2jiZXxzVpdcjL2Ifs6voCrh7AkxtiqezEuMwxUwomZkDF2uJkwOq6Kw7MMneAJsligXdvzAmJLR2KrmrZT5rdqovjcq6fEIsOpL4Vj0XWIhxdxojb5qUVKD/JTW73VYyHUVQBPLWrYLpVKVqnFJX/7l4Azu1Xfu1y6r6Y21xVmrxn1e1b0b3sg6ZAyhuxJScvY6FyS5jy08rnUllMLP87Lk5NkJYqjjnLfgyyf+4VybuZpTg2zKmCmDzavuvimJ/XNi5aefJvxQS/dX3FxDfqIeBcUfkCQU7JvLoJuzUdJ5eVYrLnFxFFsnhFs2bNVJZVrVoVtWvXxu3bt6VlO3bsQJcuXZTmamzXrh2qVauG33//XUqsdu/ejfT0dIwdO1baThAEjBkzBgMGDMDZs2fRokWLAnxGjBUdxsbG+Ouvv/Dll1/ihx9+QHJyMry9vREcHKxSEEKdsLAwzJo1S2mZ4rafn59SYrVjxw5s3LhRun3lyhVcuXIFgFj1LrfEysXFBWvWrMGiRYswfPhwyGQyHDt2DM7OzpgzZw6cnJywatUqTJkyBfb29hg1ahQWLlyY6xxWCr/99htmzZqFTZs24dWrV6hXrx727duntgx9dq9evVJ5/suXLwcgJpaKxOrWrVtIS0vDixcv8Omnn6rsZ8OGDRolVs+fP8e8efMQEhKidDHK2dkZO3bswJQpU3D48GF069YNs2fPBiBWA6xVq1auEzQPHjwY06ZNy9eYL33SKrGaM2eOjsMohnI62ct+0pnbyXV+kxS36sCAAPHkPC5avLJt7SBOnmpkLBZJaNIVGDBT9aq7uhNjTZLFgu7eqE74XfHkNCNNTBSre6t2xQLELpGm5mIJ7uREsctf1sH8ivg1HcCvbcKrsXfxVm9csMdSUfnvwkExqVI3x1RO3Rez02YcU9Z9Rz0Uk5Ant3KeDFrdPvIyj5c2x9CtuljQ5f4lsehL0iuxEEr2+LJ/7hVj0V5Fi2P7Xj0XP4PlPcQumPl5be1dxPe7LEMs/27vkhlrTscjp+efUzfLvHKrLhZw0WU3Xz0jIjx//lyabyUyMhIxMTFo1KiRyraNGzfGX3/9Jd2+cuUKSpcuLU0emnU7xXpOrBjLZGdnh/Xr12P9+vW5bpe1pUqhVatWSi04uQkODkZwcLAWEYpGjBghtcJkN27cOIwbN06r/VpYWCAoKAhBQUG5bnf8+HGVZZUqVdLo+Q8dOhRDhw7VKr6sypYti4SEBLXr/P394e/vr7J8//796NKlS677NTMzgyAIGDhwoMo6TZ+jPmmVWGUXHx8PKysr7tKQlbqTm7yedOoiSVGU6FZcjY4JFxOLql5iq03bge/vyqSY3FiTloHC6N6YXfZxQKd2iglJ9mNM71q1kt+I43Hk8swxVhcPitvIZOKV9tyq+xVWq5y6Y1mQCd37XjtNEpis43XuX9Z8jI3SuKHtYvGOvDSK67praXbhd4FH18VqexkZYtKnrquoumOkKG4R8zSzWp5LFfGzmK/PCYktXukp4vxfYddzH/elCV0cx4J+LQpZSEgIIiMjpdLAigpdOU3kGRcXh9TUVJibmyMqKgply5ZV6eGhyYSfqampSqWXczqBYYyxoiAtLQ39+vVD3759c9yGiPDLL7/Az89PqUdAUaJ1YnXx4kV8/fXXOHHiBNLS0hAaGoo2bdogNjYWw4cPx5QpU5RmpC6R1I0FyUuipKskRUosIF45D/tPrBLo6q66z6wx3jwltnZlTVLed2Kdn+5W2so+VicjXbUlIPwucOuMuL60jTh5qpGRmFTFRYmtCjKZWBnw5XsG3RdWq1zWZIMgVqXL79xVOVEkbC0+Uu0Smj0mxXK1SR6JVSjvXhDH9pzcIcaeW5W5rPuODgNMLQAvn8Jr8dSEYhyXTxdxYt32g3OuPJj9mOSUaOT3c/LqudgKZu8iVuG7dFjsppj1YkhhHrtCacUtXHfu3MG4cePQtGlTDBkyBEDmJJ3vm8jT3Nw8XxN+Llq0SGVcCWOMFVVmZmZSl8Ds3rx5gz179uDYsWO4fv06du/eXcjR6Y5WidWZM2fQpk0blC9fHoMGDVJqsnV0dER8fDzWrl3LiVV2eU2UdJWkZC2ZbWIGtOgplqdWt8/3JSmNOmp2glyYJ1bZB9Of2qV+7qyMNPH5xUWJVdSqegEXDonFGIjEstUpie/msIrO+fEKu1XuUqg4ZsXYRHxNFHNJ6Srp0KYFTm2pdIjH/m2ieCyrNhBbUQ7F515lLit9tHhqQhFXbCRQqY76sUPadoPUVrWGYrfC1zHi/HPlqgB3zosFT8rYF+4YR72NrSw40dHR6Ny5M2xsbLB9+3apR4aiRLAmE3nmZ8LPgIAAfP7559LthIQEpapgjDFWXLx48QIDBgyAra0tZsyYgW7duuk7JK1plVjNmDEDNWvWxL///ovExESVvrCtW7dWGhTIoHmLQHa6SFKiwzJLiseJ3Vgw5rv3tzjllKQYoqzHKeu8QtKyd8UH4l9mduPy/hC4e0kcc2ZiKlY/TE8Tq7aF/ZfZrUrdYxVWq9z1k+LJsqm5WNWxnLvuXw9tWuDU3UdRzrt2c7EQxbOHyLXKXE6tO4Xd4qmJvHSDLKzxhYoWs4uHxFbNO+fFVtcEC7HCZW6V/XRNH2MrC1B8fDw+/PBDvH79GidPnlSamFPRjS+niUzt7e2lVipXV1ccO3YMRKTUHVCTCT/Nzc3VtnYxxlhxUxTGTmlKq8TqwoULWLRoEczNzZGUlKSyvnz58oiOzuWKf0mjy6u5ee1uE35XbO3ISBeTKntX8f/vm8g2tyTF0OWUjAoQ5/KyzzLXkV8fMYmKjRAr0pFMrB74vpPSQm2VI7HwhomJOMdYdW/dvh7atBLldB9Fq051H6BKvXfHVk2Vudw+E4Y6Rud9cemjtU0xhvL+ZbGIhZWdWH3wwRWxZa2wLoYYakujFlJSUtC1a1fcu3cPR44cQa1atZTWly9fHk5OTlI556zOnz+vNImnp6cn1q9fj9u3byvtp6Am/GSMMaZfWiVWpqamkGcv251FZGQkrKystA6q2FF3NVexPC/jEfKaoGXd3ry02FJjYqa+HHlOFPtXV2WvKIkOE8ehmFqI/2ateDd0nnILXdZEQN/jRur6iklKbIQ4yaxijjFd0qaVKKf7qCvYom6/xayFA4D+WtuiwzLnqoqLEisOth+St3nV8stQWxrzSCaToV+/fjh79ix2796Npk2bqt2uV69e2LhxI8LDw6XueX///Tfu3buHKVOmSNt1794dU6ZMwerVq6V5rIgIa9asQfny5dWWd2eMMVZ0aZVYNWnSBNu3b8fkyZNV1r158wYbNmyAn59ffmMrPrJfzSW5di1YeT0Zzb59y17ivEB5OfEpLmMnXoQDT26LV/PNLMQKbQo5tdAB+n/uWRO/rMmKrpM9bVqJ1N0n+7Kc9luMWjiU6KO1zaWyWIgGDwG7spndXAubobY05sEXX3yBPXv2oGvXroiLi5MmBFZQTPA5Y8YM/PHHH2jdujUmTZqEpKQkBAUFoW7duhg2bJi0fYUKFTB58mQEBQUhPT0d3t7e+PPPP3Hy5EmEhIRwJV3GGCtmtEqsAgMD4efnh86dO+Pjjz8GAFy7dg2PHj3CsmXL8OLFC5VJykq07Fdztb1an9eT0ezbK65gh98V5yzS5MS8uLQsvHouXtV3chMrI76OeX8FtwsH9fvcs8bXqGPmMn0ne7pQFFo49N1aqamicCyLiKtXrwIA9u7di71796qsVyRWbm5u+Oeff/D555/jq6++gpmZGTp37ozly5erjItavHgx7OzssHbtWgQHB6Nq1arYvHkzBgwYUODPhzHGWOHSKrHy8fHBX3/9hTFjxmDw4MEAxCt9AODu7o6//vor11mriz1NSi5rc7U+rydQ6rbP64l5cWlZUFRQS4gV/7V1fv9x0Odzz+l1Ki6JLmDYLRxFLYE15GNZhKibdDMntWvXxqFDh967nZGREQICAhAQEJCPyBhjjBUFWs9j1aZNG9y9exdXr17F/fv3IZfL4e7ujoYNG6pMhlii5FSGOmuilZ8rzHk9gcq+fV5PzHNKzorClfysFF2j7l8Wy6xDAM7tz/046KMlQHFsX0Sof52KS6Jr6IpTAssYK1FKGQOzq6guY4wVPK0TKwVPT0+ubJRV9hMyRRnk7Fe+9XWFWZsT86yxFrUr+Vl5f5iZYIXf1ew4ZH/uBZlQZj22JmaAqZlqfNztq3BwAssYK6JKGwNz3PUdBWMlU74TK5aNSqEKFOyV77ye7Of3xLy4XMnP63EojIQy+7Ft0kV9sRHu9lXwOIFljDHGWB5xYqVr2U/IAODu+YK58q3tyX5+TsyL05V8xXHQpJhHYSSUORUbYfrBCSxjjDHG8oATq4KQ/YSsoK58a3Kyr+vua8XtSr6myWlhJJTF7dgyxhhjjJUgnFgVhoK68v2+k/2C6r5WVK/kq0syo8OAqIeAnYv4b04tUYWV9BTVY8sYY4wxVsJxYlWUve9kP3uL1ok/xOXVGupnAlF9yp5ktvgIgCBOHBwVBjy4ApS2FSdvzgknPYwxxhhjLAecWBV1uZ3sZ23RSksFDv0KpCYDpW3E9SUpucqaZN48Bez6ATA1BxLigJQkwLwUkJEKxEbqO1JW1BTF6QcYY8VWXDrge0F52UlvwN5UP/EwVpJolFgZGRlpNTeVTCbL832KvcI8CcvaonX+APDoKlC+KhB5X5zPqSQkVorjDcpMMk3MgIx0oHpj4MxuAAJgaQWkJes7WlbUFOXpBxhjxZKMgFtvVJcxxgqeRonVN998o5JY7dq1Czdv3kTHjh1Rvbp4InHnzh2EhoaiTp066NGjh86DLfL0cRKmaNEiOXDxoJhUlbZ5N0luMaeu+59gJB6LU7vEJMveFTAxAWQyoHI9sRIfY5oqLtMPMMYYYyzfNEqs5syZo3R73bp1iImJwY0bN6SkSuH27dto06YNypUrp7Mgiw19noQpWqfuXxaTqpLQWpX9eAtGQKOO4jqXKuLkzZdCAVma2IrlP8wwT4q5q5nhKk7TDzDGGGMsX7QaYxUUFITx48erJFUAULNmTYwfPx5Lly7FyJEj8x1gsaLvkzDvD4teQpWfpCK34+1WXdxvQpxYEfDVczHxMjTc1cywcYl8xhhjjL2jVWIVEREBU9OcR0GampoiIiJC66CKLT4Jy5v8JhXvPd4ExEYAT26K3SNzqwioL9zVzPBxtUjGGGOMAdDqEn2dOnWwevVqREaqVlCLiIjA6tWrUbdu3XwHVyy5VRe7o/GJ2PtlTSpex4hJRV7ldLzD7wL3LgFWdoBnG8CxvGG2WOm7lZMxxhhjjGlEqxarFStWoGPHjqhWrRo++ugjeHh4AADu37+PP//8E0SEzZs36zRQVgIVVFIRfhcIngVE3APeJgAWpQFXd8NMWriVkzHGGGOsSNAqsWrRogXOnTuHWbNmYdeuXUhOFstUW1paomPHjggMDOQWK5Z/BZVUXD8J3D0HmFkC6SlA5TpAlzGGm7RwVzPGGGOMMYOn9QTBderUwa5duyCXy/HixQsAgJOTE4yMDLA7FSu6CiypEAAisRpgpTqcuDDGGGN50eE985uG8uRZrOTROrFSMDIygoWFBaysrDipYkVDXV+gRmPgRQTgVIHnrmKMMcYYY/mmdSZ08eJF+Pv7o1SpUnBwcMA///wDAIiNjUX37t1x/PhxXcXImG65VQeGzAM+mS3+y61VxUv4XeDCQfFfxhhjjLFColVidebMGbRo0QL379/HoEGDIJdnlql2dHREfHw81q5dq7MgGdM5rs5YPClK9O9bI/5bXJMrTh4ZY4wxg6NVYjVjxgzUrFkTt27dwsKFC1XWt27dGufOnct3cIwxlie6KNFv6EpK8sgYY4wVMVolVhcuXMCwYcNgbm4OQVAdvFi+fHlER0fnOzjGCgRf7S++SsK8XyUhedSjpKQkzJ49G/7+/rC3t4cgCAgODlbZbujQoRAEQeWvRo0aKtvK5XIsXboUlStXhoWFBerVq4ctW7YUwrNhjDFWmLQqXmFqaqrU/S+7yMhIWFlZaR0UYwVGcbX/dYx44t37C+4OWJyUhHm/SkLyqEexsbGYO3cuPvjgA9SvXz/X8cLm5uZYv3690jIbGxuV7WbOnInFixdj5MiR8Pb2xu7duzFgwAAIgoD+/fvr+imwEs7CCBhbQXUZY6zgaZVYNWnSBNu3b8fkyZNV1r158wYbNmyAn59ffmNjTPeyXu1/dA24cVJc5lK5eJ6El0TFfd6vkpA86pGrqyuioqLg4uKCixcvwtvbO8dtTUxMMGjQoFz3FxkZieXLl2PcuHFYtWoVAGDEiBHw8/PDl19+iT59+sDY2Finz4GVbGVMgB9r6jsKxkomra5hBAYG4uLFi+jcuTMOHDgAALh27RrWr1+Phg0b4sWLF5g1a5ZOAy1yuLuZYcp6td/EDLgUymNVWNHDxVcKjLm5OVxcXDTeXiaTISEhIcf1u3fvRnp6OsaOHSstEwQBY8aMQUREBM6ePZuveBljjBkOrRIrHx8f/PXXX3jw4AEGDx4MAPjiiy8watQoyGQy/PXXX6hXr55WAaWmpmL69OkoV64cLC0t4ePjg8OHD2t03yNHjqB169ZwdHSEra0tGjdujE2bNmkVR77w4HLDpbja33UM0LADkJ7GY1UYY1p5+/YtrK2tYWNjA3t7e4wbNw5JSUlK21y5cgWlS5dGzZrKTQiNGzeW1jPGGCsetJ4guE2bNrh79y6uXr2K+/fvQy6Xw93dHQ0bNlRb0EJTQ4cOlboZVq1aFcHBwejUqROOHTuGFi1a5Hi/PXv2oEePHmjatCnmzJkDQRDw+++/Y/DgwYiNjcWUKVO0jinPsnc3e/6YrywbEkVXsfC7wN3zeRurEn6Xuw4yxuDq6opp06bBy8sLcrkcBw8exOrVq3Ht2jUcP34cJibiz2tUVBTKli2r8rvo6uoKAHj27Jna/aempiI1NVW6nVurGGOMMcOgdWKl4OnpCU9PTx2EApw/fx5bt25FUFAQpk6dCgAYPHgw6tSpg2nTpuHMmTM53nfVqlVwdXXF0aNHYW5uDgAYPXo0atSogeDg4MJNrHhwedGQ17EqXPiCMfbOokWLlG73798f1apVw8yZM7F9+3apKEVycrL0m5SVhYWFtD6n/QcGBuo4asYYYwVJq66ARkZGcHV1xYkTJ9SuDwkJ0Wow7vbt22FsbIxRo0ZJyywsLDB8+HCcPXsW4eHhOd43ISEBdnZ2Sj9gJiYmcHR0hKWlZZ5jyZes3c345Nuw5WWsCpe5ZozlYsqUKTAyMsKRI0ekZZaWlkotTwopKSnSenUCAgIQHx8v/eX2+8cYY8wwaF2AMyUlBe3atcP333+vs2CuXLmCatWqwdraWmm5oi/61atXc7xvq1atcPPmTcyaNQsPHjzAw4cPMW/ePFy8eBHTpk3TWYwa48HlxQ+3RDLGcmFpaQkHBwfExcVJy1xdXREdHQ0iUto2KioKAFCuXDm1+zI3N4e1tbXSH2OaeJ0OtLqo/Pc6Xd9RMVYyaN0V8LvvvsP58+cxZcoUXLx4ET///LPUtUFbUVFRUr/zrN7XFx0AZs2ahbCwMCxYsADz588HAJQqVQo7duxA9+7dc31c7svONMJlrhljuUhMTERsbCycnJykZZ6enli/fj1u376NWrVqScvPnTsnrWdMl9IJ+OeV6jLGWMHTusXK1NQUP/74I4KDg7Fz5040b94cT58+zVcw2vZFB8Sre9WqVUPv3r2xZcsWbN68GY0aNcKgQYPw77//5vq4ixYtgo2NjfTn5uaWr+fBijFuiWSsxEtJSUFiYqLK8nnz5oGI4O/vLy3r3r07TE1NsXr1amkZEWHNmjUoX748mjVrVigxM8YYK3j5Ll4xePBg1KtXD7169ULDhg2xdetWrfelbV90ABg/fjz+/fdfXL58GUZGYr7Yt29f1K5dG5MmTZKuDqoTEBCAzz//XLqdkJDAyVVJx9X/GCuxVq1ahdevX0u9JPbu3YuIiAgAwIQJE/Dq1Ss0aNAAH3/8MWrUqAEAOHToEP766y/4+/sr9ZKoUKECJk+ejKCgIKSnp8Pb2xt//vknTp48qfV4ZMYYY4Yp34kVIHZluHTpEgYMGAB/f3/4+vpqtR9XV1dERkaqLH9fX/S0tDT88ssvmDZtmpRUAWKr2ocffohVq1YhLS0NZmZmau9vbm6utqWMlVBc/Y+xEm3ZsmV48uSJdHvnzp3YuXMnAGDQoEGwtbVFly5dcPjwYWzcuBEymQweHh5YuHAhpk6dqvQ7BACLFy+GnZ0d1q5di+DgYFStWhWbN2/GgAEDCvV5McYYK1g6SawAwNbWFvv378ecOXOkMU555enpiWPHjiEhIUFpoO77+qK/fPkSGRkZkMlkKuvS09Mhl8vVrmNMbcsUz0PGWIn2+PHj926Tl8nnjYyMEBAQgICAgHxExRhjzNBpNcYqLCwMPXr0UFkuCAICAwNx7do1HD16NM/77d27N2QyGdatWyctS01NxYYNG+Dj4yN1z3v69Cnu3LkjbePs7AxbW1vs2rULaWlp0vKkpCTs3bsXNWrUKPyS68zwKVqm9q0R/w2/Ky7n6n+MMcYYYyyPtGqxqlixYq7r69Spo1UwPj4+6NOnDwICAhATEwMPDw9s3LgRjx8/xi+//CJtN3jwYPzzzz9S+VpjY2NMnToVX3/9NZo0aYLBgwdDJpPhl19+QUREBDZv3qxVPKyYy6lliqv/McYYY4yxPNIosZo7dy4EQcDMmTNhZGSEuXPnvvc+giBg1qxZeQ7ot99+w6xZs7Bp0ya8evUK9erVw759+9CyZctc7zdz5kxUrlwZ33//PQIDA5Gamop69eph+/bt6NWrV57jYCVAbi1TigSLMcYYY4wxDQiUfdZCNYyMjCAIApKTk2FmZqYyMFftjgWhyI5rSkhIgI2NDeLj43lSxuIu/C63TDFmQPj7Vz0+LsVAB6FQHuZFGuD8j/KyGD/ASX39roITypNnseJD0+9gjVqs5HJ5rrcZK7J00TLFpdkZY4wxxko8nVUFZKxE4tLsjDHGGGMMWlYFZIy9k7UAxusYsVshY4Yo/C5w4WBm9UvGGGOM6ZRGLVaVK1eGIOStb7AgCHj48KFWQTFWZHBpdlYUcMsqY4wxVuA0Sqz8/PzynFgxViJwaXZWFPCk14wxxliB0yixCg4OLuAwGCvCuDQ7M3TcsspYiWEmAL2dVZcxxgoeF69gjLHijltWGSsxbEyBP+rrOwrGSqZ8JVbp6em4c+cO4uPj1ZZgf9+kvowxxgoJt6wyxhhjBUqrxEoulyMgIACrV6/G27dvc9yuqE4QzBhjjDHGGGN5oVW59YULFyIoKAiDBg3Cb7/9BiLC4sWLsWbNGtSrVw/169fHoUOHdB0rY6ygcCluxhhjjLF80SqxCg4ORt++ffHTTz/B398fANCwYUOMHDkS586dgyAIOHr0qE4DZYwVEEUp7n1rxH85uWKMMcYYyzOtEquIiAi0adMGAGBubg4ASElJAQCYmZlh0KBB2LRpk45CZIwVKJ7kmDHGGGMs37QaY+Xg4ICkpCQAgJWVFaytrfHo0SOlbV69epX/6BhjBY9LcTPGWLERnw6MuKW8bH0tsVpgoeqQS433UCq8OBgrRFolVg0aNMCFCxek261bt8Z3332HBg0aQC6X44cffkD9+lzrk7EigUtxM8ZYsZFGwPYY5WWra+onFsZKGq26Ao4aNQqpqalITU0FACxYsACvX79Gy5Yt4efnh4SEBCxfvlyngTLGCpBbdaBRR06qGGOMMca0pFWLVbdu3dCtWzfpdq1atfDw4UMcP34cxsbGaNasGezt7XUWJGOMMcYYY4wZsnxNEJyVjY0NunfvrqvdMcYYY4wxxliRka/EKj09HZGRkXj16hWIVAcienl55Wf3jDHGGGNFR24FGxhjxZ5WY6xev36NESNGwNraGu7u7mjUqBG8vb2lP8VtxhhjrChJSkrC7Nmz4e/vD3t7ewiCgODgYLXb3r59G/7+/rCysoK9vT0++eQTvHjxQmU7uVyOpUuXonLlyrCwsEC9evWwZcuWAn4mjDHGCptWLVZDhw7F3r170b9/f/j4+MDGxkbXcTHGGGOFLjY2FnPnzsUHH3yA+vXr4/jx42q3i4iIQMuWLWFjY4OFCxciKSkJy5Ytw/Xr13H+/HmYmZlJ286cOROLFy/GyJEj4e3tjd27d2PAgAEQBAH9+/cvpGfGGGOsoGmVWIWGhmLixIlYsWKFruNhjDHG9MbV1RVRUVFwcXHBxYsXc+x9sXDhQrx58waXLl3CBx98AABo3Lgx2rdvj+DgYIwaNQoAEBkZieXLl2PcuHFYtWoVAGDEiBHw8/PDl19+iT59+sDY2LhwnhxjjLECpVVXQAcHB3h4eOg6FsYYY0yvzM3N4eLi8t7tduzYgS5dukhJFQC0a9cO1apVw++//y4t2717N9LT0zF27FhpmSAIGDNmDCIiInD27FndPgHGGGN6o/U8Vlu3boVcLtd1PIwxxphBi4yMRExMDBo1aqSyrnHjxrhy5Yp0+8qVKyhdujRq1qypsp1iPWOMseJBq66As2bNQmpqKho1aoRPPvkEFSpUUNuVoWfPnvkOkDHGGDMkUVFRAMRug9m5uroiLi4OqampMDc3R1RUFMqWLQtBEFS2A4Bnz56pfYzU1FSkpqZKtxMSEnQVPmOMsQKiVWIVGRmJo0eP4urVq7h69arabQRBgEwmy09sjDHGmMFJTk4GIHYbzM7CwkLaxtzcXPo3t+3UWbRoEQIDA3UVMmOMsUKgVWL16aef4vLlywgICOCqgIwxxkoUS0tLAFBqUVJISUlR2sbS0lKj7bILCAjA559/Lt1OSEiAm5tb/gJnjDFWoLRKrE6dOoXp06fz1TTGGGMljqIbn6JLYFZRUVGwt7eXWqlcXV1x7NgxEJFSd0DFfcuVK6f2MczNzdW2dDHGGDNcWhWvcHFxgb29va5jYYwxxgxe+fLl4eTkhIsXL6qsO3/+PDw9PaXbnp6eePv2LW7fvq203blz56T1jOmSqQD42Sn/mQrvvx9jLP+0Sqy++OILrF+/HklJSbqOhzHGWEEKvwtcOCj+y7TWq1cv7Nu3D+Hh4dKyv//+G/fu3UOfPn2kZd27d4epqSlWr14tLSMirFmzBuXLl0ezZs0KNW5W/NmaAscbKf/Zmuo7KsZKBq26AqakpMDU1BQeHh7o27cv3NzcVKoCCoKAKVOm6CRIxhhjOhB+F9i+HHgdA9g6A72/ANyq6zsqg7Nq1Sq8fv1aqti3d+9eREREAAAmTJgAGxsbzJgxA3/88Qdat26NSZMmISkpCUFBQahbty6GDRsm7atChQqYPHkygoKCkJ6eDm9vb/z55584efIkQkJCeHJgxhgrRgQiorzeycjo/Q1dRbkqYEJCAmxsbBAfHw9ra2t9h8MYY7px4SCwbw1QpT7w6BrQdQzQqKO+o1JiCN+/lSpVwpMnT9SuCwsLQ6VKlQAAN2/exOeff45Tp07BzMwMnTt3xvLly1G2bFml+8jlcixZsgRr165FVFQUqlatioCAAAwcOFDjmAzhuDANdOA+dxoJzfOpJ2N6pel3sFYtVmFhYVoHxhhjTE9cKostVY+uif+WraTviAzS48ePNdqudu3aOHTo0Hu3MzIyQkBAAAICAvIZGWOMMUOW58QqOTkZ33//PVq3bo2uXbsWREyMMcYKglt1sfvf88diUsXdABljjDGdyXNiZWlpibVr16JWrVoFEQ9jjLGC5FadEyrGGGOsAGjVFbBhw4a4ceOGrmNhjDHGGGP5kJgBfHVfedniqkAZrc74GGN5odXH7LvvvkOnTp1Qp04dDB06FCYm/GlljDHGGNO3FDmwOkJ52Rx3oIx+wmGsRNEqIxo6dCiMjIwwevRoTJw4EeXLl4elpaXSNoIg4Nq1azoJkjHGGGOMMcYMmVaJlb29PRwcHFC9OvfTZ4wxxhhjjDGtEqvjx4/rOAzGGGOMMcYYK7reP9MvY4wxxhhjjLFcaV11QiaTYfPmzdi/f780Q33FihXRpUsXDBw4EMbGxjoLkjHGGGOMMcYMmVYtVvHx8WjevDk+/fRThIaGIj09Henp6Th8+DCGDRuGFi1aICEhQdexMsYYY4wxxphB0iqxmjlzJi5duoSVK1fixYsXuHz5Mi5fvoyYmBisWrUKFy9exMyZM3UdK2OMMcYYY4wZJK0Sq127dmHs2LEYO3YsTE1NpeWmpqYYM2YMxowZgx07dugsSMYYY4wxxhgzZFolVi9fvsy11HqNGjUQFxendVCMMcYYY4wxVpRolVh5eHhgz549Oa7fs2cP3N3dtQ6KMcYYY4wxxooSrRKrsWPHIjQ0FJ06dUJoaCgeP36Mx48f49ChQ+jcuTMOHz6M8ePH6zpWxhhjjDHGGDNIWpVbHzt2LGJiYrB48WIcOnRIaZ2pqSm++eYbjBkzRicBMsYYY4wZhA6CviMoHnI7jqFUeHEwpmNaz2M1Z84cjB8/HkeOHFGax6pdu3ZwdHTUWYCMMcYYY4wxZui0TqwAwNHREf3799dVLIwxxhhjLB+MBaBWadVljLGCl6/EKjExEU+ePMGrV69ApNp027Jly/zsnjHGGGOM5YG9KXCzmb6jYKxk0iqxevnyJcaPH48dO3ZAJpMBAIgIgiAo/V+xjjHGGGOMMcaKM60Sq5EjR2Lv3r2YOHEifH19YWdnp+u4GGOMMcYYY6zI0CqxCg0NxZQpU7B06VJdx8MYY4wZvOPHj6N169Zq1509exZNmjSRbp85cwbTpk3D5cuXYW1tjb59+2LhwoWwsrIqrHAZY4wVAq3msSpVqhQqVaqk41BEqampmD59OsqVKwdLS0v4+Pjg8OHDGt9/27ZtaNq0KUqXLg1bW1s0a9YMR48eLZBYGWOMlWwTJ07Epk2blP48PDyk9VevXkXbtm3x9u1bfPvttxgxYgTWrVuHPn366DFqxhhjBUGrFqtBgwZh165dGDt2rK7jwdChQ7F9+3ZMnjwZVatWRXBwMDp16oRjx46hRYsWud53zpw5mDt3Lnr37o2hQ4ciPT0dN27cQGRkpM7jZIwxxnx9fdG7d+8c18+YMQN2dnY4fvw4rK2tAQCVKlXCyJEjERoaig4dOhRWqExTPFcVY0xLWiVWvXv3xj///AN/f3+MGjUKbm5uMDY2VtnOy8srT/s9f/48tm7diqCgIEydOhUAMHjwYNSpUwfTpk3DmTNncrzvv//+i7lz52L58uWYMmVK3p4QY4wxpqXExERYWlrCxET5JzUhIQGHDx/GlClTpKQKEH/XpkyZgt9//50TK6Zzb2RA0GPlZV9WAkqrnqYxxnRMq8Qqa8uRum562lYF3L59O4yNjTFq1ChpmYWFBYYPH44ZM2YgPDwcbm5uau/73XffwcXFBZMmTQIR4c2bN9x/nTHGWIEaNmwYkpKSYGxsDF9fXwQFBaFRo0YAgOvXryMjI0O6rWBmZgZPT09cuXJFHyGzYu6tDAh8pLxsnBsnVowVBq0Sqw0bNug6DgDAlStXUK1aNaUrewDQuHFjAGJf9ZwSq7///hvNmjXDDz/8gPnz5+Ply5dwcXHBzJkzMX78+AKJlzHGWMlkZmaGXr16oVOnTnB0dMStW7ewbNky+Pr64syZM2jQoAGioqIAAK6urir3d3V1xcmTJ3Pcf2pqKlJTU6XbCQkJun8SjDHGdEqrxGrIkCG6jgMAEBUVleMPEAA8e/ZM7f1evXqF2NhYnD59GkePHsXs2bPxwQcfYMOGDZgwYQJMTU0xevToHB+Xf8AYY4zlRbNmzdCsWeYsrN26dUPv3r1Rr149BAQE4ODBg0hOTgYAmJubq9zfwsJCWq/OokWLEBgYqPvAGWOMFRitqgJmFRUVhWvXruHNmzf5DiY5OTnHHyDFenWSkpIAiBMXr1+/HlOnTkXfvn2xf/9+1KpVC/Pnz8/1cRctWgQbGxvpL6dWMcYYYywnHh4e6N69O44dOwaZTAZLS0sAULpwp5CSkiKtVycgIADx8fHSX3h4eIHFzRhjTDe0Tqx2796NGjVqoEKFCvDy8sK5c+cAALGxsWjQoAF27dqV531aWlrm+AOkWJ/T/QDA1NRUqTqTkZER+vXrh4iICDx9+jTHx+UfMMYYY7rg5uaGtLQ0vHnzRuptoegSmFVUVBTKlSuX437Mzc1hbW2t9McYY8ywaZVY7d27Fz179oSjoyNmz54NIpLWOTo6onz58ggODs7zfl1dXXP8AQKQ44+Qvb09LCws4ODgoFKd0NnZGYDYXTAn/APGGGNMFx49egQLCwtYWVmhTp06MDExwcWLF5W2SUtLw9WrV+Hp6amfIBkzZB2E3P8YM2BaJVZz585Fy5YtcerUKYwbN05lfdOmTbWqduTp6Yl79+6pjHFStIbl9CNkZGQET09PvHjxAmlpaUrrFOOynJyc8hwPY4wxps6LFy9Ull27dg179uxBhw4dYGRkBBsbG7Rr1w6bN29GYmKitN2mTZuQlJTEkwQzxlgxo1VidePGDfTt2zfH9WXLlkVMTEye99u7d2/IZDKsW7dOWpaamooNGzbAx8dHGvv09OlT3LlzR+m+/fr1g0wmw8aNG6VlKSkpCAkJQa1atXLtcsEYY4zlRb9+/dC5c2csWLAAP//8M6ZMmYJmzZqhVKlSWLx4sbTdggULEBcXBz8/P6xZswZff/01xo8fjw4dOsDf31+Pz4AxxpiuaVUVsFSpUrkWq3j06BEcHBzyvF8fHx/06dMHAQEBiImJgYeHBzZu3IjHjx/jl19+kbYbPHgw/vnnH6UuiKNHj8b69esxbtw43Lt3Dx988AE2bdqEJ0+eYO/evXmOhTHGGMtJjx49EBISgm+//RYJCQlwcnJCz549MXv2bHh4eEjbeXl54ciRI5g+fTqmTJmCMmXKYPjw4Vi0aJEeo2eMMVYQtEqsWrdujY0bN2Ly5Mkq66Kjo/Hzzz+jS5cuWgX022+/YdasWdi0aRNevXqFevXqYd++fWjZsmWu97O0tMTRo0cxbdo0/Prrr3jz5g08PT2xf/9+dOzYUatYGGOMMXUmTpyIiRMnarRtixYtcPr06QKOiDHGmL4JlLXZR0N3795FkyZNUKlSJfTp0wezZs3C1KlTYWpqirVr14KIcPHiRVSqVKkAQi54CQkJsLGxQXx8PBeyYIyxQsTfv+rxcSlERbxAwos0wPkf5WUxfoCTmX7i0bnQPJ+2MpZvmn4HazXGqnr16jh16hQcHBwwa9YsEBGCgoKwcOFC1K1bFydPniyySRVjjDHGGGOM5ZVWXQEBoHbt2jhy5AhevXqFBw8eQC6Xo0qVKlL1PSKCIBTtqz6MMcYYY4wxpgmtJwhWsLOzg7e3N3x8fODk5IS0tDSsW7cO1atX10V8jDHGGGOMMWbw8tRilZaWhj179uDhw4ews7NDly5dpDLmb9++xapVq/Ddd98hOjoa7u7uBRIwY4wxxhhTTwDgaKq6jDFW8DROrJ49e4ZWrVrh4cOHUplzS0tL7NmzB2ZmZhgwYAAiIyPRuHFjrFy5Ej179iywoBljjDHGmCpHM+BFK31HwVjJpHFiNXPmTISFhWHatGnw9fVFWFgY5s6di1GjRiE2Nha1a9fG5s2b4efnV5DxMlY4wu8C0WGAS2XAjbu1MsYYY4yx3GmcWB0+fBjDhg1TmtTQxcUFffr0QefOnbF7924YGeV7yBZj+hd+F9i+HHgdA9g6A72/4OSKMcYYY4zlSuNM6Pnz52jSpInSMsXtTz/9lJMqVnxEh4lJVZX64r/PH+s7IsYYY4wxZuA0zoZkMhksLCyUlilu29jY6DYqxvTJpbLYUvXomvhv2Ur6jogxxhhjjBm4PFUFfPz4MS5fvizdjo+PBwDcv38ftra2Ktt7eXnlLzrG9MGtutj97/ljManiboCMMcYYY+w9BFKU+HsPIyMjtRP+qpsIWLFMJpPpJspClpCQABsbG8THx8Pa2lrf4TDGWInB37/q8XHRoQ7Fu/h4sgz49Znysk/LAZbG+olH50I1Om1lTKc0/Q7WuMVqw4YNOgmMMcYkXH2RMcZ0KkkGjL+jvKxv2WKUWDFmwDROrIYMGVKQcTDGShquvsgYYyyvcmtx5NYspmd5GmPFGGM6k7X64qNr4pg2TqwYY7pQzLv7McYME9dIZ4zpB1dfZIwxxlgxwi1WjDH94OqLjDHGGCtGOLFijOmPW3VOqBhjjOlGfrqA8vgspgPcFZAxxhhjjDHG8okTK8YYY4wxxhjLJ06sGGOMMcYYYyyfOLFijDHGClBqaiqmT5+OcuXKwdLSEj4+Pjh8+LC+w2KMMaZjXLyCMcYYK0BDhw7F9u3bMXnyZFStWhXBwcHo1KkTjh07hhYtWug7vKKJ56lihY0nJmYa4MSKMcYYKyDnz5/H1q1bERQUhKlTpwIABg8ejDp16mDatGk4c+aMniM0YJw8scLE7zemA9wVkDHGGCsg27dvh7GxMUaNGiUts7CwwPDhw3H27FmEh4frMTrGGGO6xC1WjDHGWAG5cuUKqlWrBmtra6XljRs3BgBcvXoVbm5u+gitcHArAGOsBOHESg0isa9sQkKCniNhjLGSRfG9q/geLuqioqLg6uqqslyx7NmzZ2rvl5qaitTUVOl2fHw8ACChi03h/3L/GZ/7+h42hRMH00hihvpl5txHqeC0McALCO/73LJMGnyHJbz7XL3vt4kTKzUSExMBoHhfRWSMMQOWmJgIG5uif8KenJwMc3NzleUWFhbSenUWLVqEwMBAleVuJ3Ubn0aKwetQ0rmf1ncErNDx57ZAvO+3iRMrNcqVK4fw8HCUKVMGgqCbqxAJCQlwc3NDeHi4SpcQfTHEmACOKy8MMSaA48oLQ4wJ0F9cRITExESUK1eu0B6zIFlaWiq1PCmkpKRI69UJCAjA559/Lt2Wy+WIi4uDg4ODzn6XCouhvseLOz7u+sHHXT8K+rhr+tvEiZUaRkZGqFChQoHs29ra2uA+aIYYE8Bx5YUhxgRwXHlhiDEB+omrOLRUKbi6uiIyMlJleVRUFADk+CNtbm6u0tJla2ur8/gKk6G+x4s7Pu76wcddPwryuGvy28Q9bhljjLEC4unpiXv37qmM2T137py0njHGWPHAiRVjjDFWQHr37g2ZTIZ169ZJy1JTU7Fhwwb4+PjwWF7GGCtGuCtgITE3N8fs2bPVDmLWF0OMCeC48sIQYwI4rrwwxJgAw42rqPHx8UGfPn0QEBCAmJgYeHh4YOPGjXj8+DF++eUXfYdXKPi9pB983PWDj7t+GMpxF6i41LRljDHGDFBKSgpmzZqFzZs349WrV6hXrx7mzZuHjh076js0xhhjOsSJFWOMMcYYY4zlE4+xYowxxhhjjLF84sSKMcYYY4wxxvKJEyvGGGOMMcYYyydOrBhjrATi4bWMMcaKArlcru8QNMaJVT4UpReaqccnl6ygxMfH6zsEtbZt2wYAEARBz5Gw4oS/SwtHSkqK0m0+7qw4u3//PmQyGYyMik66UnQiNSAPHz5ESkqK9IVmKF9sV65cwdOnT5VO6Awhtrdv3+o7BBWPHj3C27dvVX6k9O3atWu4f/8+IiIipGWG8Bru3r0bY8eOxaNHjwAYxkWFLVu2oEyZMjh9+rS+Q1Gyc+dOdOjQAStWrMDjx4/1HY5k69atcHd3x8cff4xTp07pOxxWhB0+fBhfffUVfvrpJ5w5cwYAJ+oF7caNG+jTpw/69++Pzz77DOfPnwfAx72gbdu2DZ999hmWLFmi9L1pCL/LxdmmTZtQrVo1dOjQAbVq1cLcuXMN9mKlCmIau3btGrVp04aqVKlClSpVop49e9K9e/f0HRbdunWLmjdvTnZ2dmRra0vVqlWj7du3U3p6OhERyeVyvcR1584d8vLyoo8//lgvj6/OtWvXqFOnTlSrVi1ydnamxo0b06lTp/R2jLLG1a5dO6pQoQKVKVOG7O3t6fvvv5deQ30KDQ0lQRDIysqKvv/+e32HQ5cvX6bGjRuThYUF9evXj/777z99h0RERJGRkdSpUycqXbo0de7cmZYsWULPnz/Xd1jS8TIzM6P69euTpaUlHTlyRN9hsSLo9evX1LdvXzI3N6c6deqQpaWl9L3w8uVLItLf701xpDiWv/32G1lZWVHTpk2pU6dOZG1tTdbW1hQUFKTnCIuv6Oho6tixI5UuXZq8vLzIzs6OzM3Nafbs2fTq1Ssi4vd6QVm3bh2VLl2aRo8eTfPnz6f+/fuTIAg0YMAAevDgARERyWQyPUeZM06s3kPxwdm7dy85OjpSixYt6JtvvqGhQ4eSo6Mj1axZk3bs2EFE+nmhnz9/Tg0aNKBmzZrRr7/+Sr/++is1adKEbG1tafbs2UrPobDI5XLavn07VatWjQRBIEEQ6Pjx44UaQ3YZGRn0ww8/kJOTE/n5+dE333xDY8eOJTc3N6pRo4be4ktLS6MFCxaQra0t+fn50cqVK2nLli3UqlUrsra2pp07d+olLqLM982lS5fIwcGBLC0tycfHh65evUpEhf9+f/v2LQ0bNowEQSA/Pz/avXu3QSQuCrNnz6aaNWtSSEgIPX36VN/hUHx8PA0ePJgEQaBWrVrR7t27af/+/WRhYUHLli0jIvFzwZimfv/9d7Kzs6N169bR06dP6fbt2zR48GAyNzenL774Qt/hFVstW7Ykf39/evz4MRERhYWF0cCBA0kQBNqyZQulpqbqOcLiZ+PGjWRvb08hISH07NkzevnyJQ0dOpTKlClDY8eO1Xd4xVZSUhI1a9aM2rVrR1FRUdLyJUuWkLW1NfXv31+P0WmGEysN9erVi+rVq0c3btyQlh09epQEQaCKFSvSo0ePiKjwk5itW7eSiYkJbd++XVoWERFB/fr1I0EQ9HJl+uHDh1SnTh1ycHCg+fPnU61atahJkyZ6bX05ePAgValShT799FO6c+eOtPz06dMkCAJNnz5dL/Ht37+fvLy8aPLkyXTv3j3pRPf+/fskCAItXbpU71fFtm/fTh06dKA1a9aQIAg0Y8YMKc7Cii0jI4MWLFhAgiDQyJEj6cWLFzm+Xvo4Xk+fPqWyZcvSxIkTVZZnVVixvXnzhqpWrUpVqlShn376iZ48eUJERI8ePSI7Ozvq2bOnQV/xY4apW7duVKtWLZXlPXr0IFtbW9q6dSsRccKuS5cvXyYrKyv69ttvlZY/efKE2rZtSx4eHnTq1Ck9RVd8+fn5UZMmTZSWvXnzhoYOHUqCIND+/fuJiFutdC0uLo4cHR1p/vz5RKT8XfLZZ5+RhYUF/fLLL0RkuK1WnFhp4N69e1S2bFmaMGGCtExxhWjkyJEkCAJ99NFHeoltyZIlZGNjI73B0tLSiEhsZWjcuDHVqVOn0K/qP3nyhGbMmCG1bPz4448kCAKtX7++UOPI6ttvv6WaNWtSTEyMtEzxGjZp0oTat29PRIX/JXnq1Clavny5UlxERLt27SJnZ2fatm2bXuLK+pjnzp0jGxsbIiJq164dubq60uHDhws9rosXL1Lz5s2pRo0a0rLdu3fTkCFDaNq0afTrr7/q7crtiRMnqFSpUlLX4N9++41q1apFtWrVoh49etD//ve/QotF8V1w5swZunHjhvSdoODt7U2tWrWilJQUPilgGktJSSF/f39q1qyZtEzxebtw4QI1aNCAKleubBDdl4uTZ8+ekZmZGa1du5aIxNdB4cqVK2RpaUkjRoygFy9e6CvEYkUmk1FKSgp17NiRWrRoIS1XvK8vXbpEDRs2JHd3d/7+zKd9+/ZRgwYN6OTJk9Kyx48fk5OTE40bN056ryuSqxs3blCTJk3Izc2NkpOT9RKzJjixyiYpKUnlRCQpKYnKlClDn332mcoL/cMPP5CRkREJgkB79+4looLJohX7zP5BXrFiBZUpU4aOHTumFJdcLqdt27aRubk5LVy4UO19CzKurF/+d+/epQ4dOlCFChUoNjZW5zHkFlPWuO7evau0nkg8Xq1ataIWLVoU+Ac1p2OV3cmTJ6lOnTpkbW1Nc+bMoevXr0t9ugvzvaWwfft28vDwICLxh1wQBBoyZAjFxcXler+CiEnRavbFF19Qhw4dSBAE8vDwoDJlypAgCNSzZ0+pVbkwj9XFixfJxMSEdu3aRb/++isZGRlR7969aciQIeTs7EyCINCGDRt0Hs/74spKLpeTTCajcePGkY2NDY8TYGrFxcXRvXv3pM93Vn369KFq1apJ36VZrVixgiwsLGjBggVEZLhXk4uahIQEql+/PrVu3VpalvUz++WXX1KZMmXo77//1kd4Rdrt27dp0qRJNGHCBJo5c6bSmPkePXpQ9erV6fr160Sk/H5et24dCYJAK1asUFnHNBMWFkYVK1ZU2zDRqlUraty4MUVERKjc7/vvv6cyZcrQ4sWLicgwf784sXonLS2NpkyZQs2bN6eOHTvSypUrpZaetLQ0+vjjj6lChQpSK4zCxx9/TA0bNiQnJyelLz5dxrVgwQKV1h7Fm+nw4cNkbm5Oc+bMkZYpPuTR0dHUt29fcnJy0vmV/Jziysm2bdvI0tKSpk2bptM48hOTIvFq0KAB9evXT1qmj7gUr9n06dNJEARq3bo1DRkyhIYPH062trYF0q/4fXEpjsX58+epTJky9OzZMyIiGj58OJmbm0utMG/evCnwmBSxPHnyhHr37k2CIFCbNm3o4MGD9OTJE4qMjKR58+aRkZER9enTR2fxvC8uhYsXL5KjoyMNGjSI6tevT7NmzaLExEQiIvrvv/+oY8eO5ODgQLdv3y7UuNSZNWsWCYJAe/bs0WksrOibMWMGVa9enVxdXcnMzIy++uorpSRq//790rgeBcXFvPDwcGrRogXVr1+fW0907MsvvyQXFxcKDQ0lIuXuUQ8ePCBHR0eaOnUqERnmiaahSU1NpalTp5KlpSU1atSIqlatSoIgUJUqVeiPP/4gIvGCoiAI9Ouvv0q/z4rj/vjxY2rbti1VrlyZx7dpKT4+nmxtbal27dpUoUIF+u2336R1mzZtImNjY6UhLopj//TpU6pfvz61atVKujhoaDixIvGLqVGjRlSxYkUaPHgw+fj4kLm5OTVq1EgaI/H333+Tg4MD+fr60saNG+nWrVv01VdfUalSpejQoUPUoUMHcnJyokuXLuksrhMnTlDt2rVJEATq0KED3bp1i4hUvzi9vLyoQYMG0pWVrOtDQkLIxMSEfvrpJ7X3Lci4si6LiYmhTz/9lCwsLKQWBV3+AOQlpqzCw8OpdOnStGjRIiLS/dgATeNS3N61axdt27aNYmNjpWUBAQFkZGQkVYDSxdWxvByv33//napVqyZdaEhISKBSpUpR69atadiwYfTJJ59ISVdhxBQSEkJDhw6l06dPq6wbOHAg2djYSElDYb7fmzdvTkZGRuTo6EhnzpxRWhcaGkr29vY0adIkIir81zDrY548eZIEQaDff/891+1ZyfHff/+Rn58fVahQgWbMmEELFy6kTz/9lARBoOHDh0vdoMLDw8nb25uaN2+udFKjeA/NmTOHypQpIyUATDeeP39O9vb2NGDAAOk3SvF5TkxMpIEDB5Kbm5s+QywyEhMTacaMGVSlShVasmQJ3b17l2QyGf39999Urlw58vX1pbdv31JGRgbVr1+ffH19paIhWQUGBpKtra001oppTi6XU3h4OLVq1YoWLFhA1atXJ29vb0pKSiIicYy5t7c3+fj4KF2kUbznx48fT66urlJtA0PDiRUR/fTTT+Tg4EAHDhyQrj5s3ryZHBwcqGvXrvTw4UMiEgtF2NrakrGxMZmYmJCLi4uUsGzbto0EQVAqbpEfZ8+epRo1alClSpWoT58+JAgCLVmyRKn/uuILdvfu3SQIAs2fP1/qzqZYd/fuXapQoQKNGjVKJydzmsSVk7///pvKly+v8/Fo+YnpxIkTJAgCHTp0SKcx5TWu3E5u79+/Tx4eHlS/fn2lLpYFHZcippMnT1KpUqUoPDxcWvfxxx+TsbExmZqa0uzZs6UvxIKMSRFPfHy8ypg0xXb//vsvCYKg1IJb0HEpPmsHDx6UqmAqWqYU3ycxMTHk7+9Pbm5uhfoaqnPjxg2ys7OTxoxyYlWyvXr1ioYOHUoeHh60c+dOpRbo7t27k5OTkzQGIj09nX7++WcyMjKiH3/8UXrvK7rP3717lwRBkKqZchcp3Zk7dy45OTlJA/ezXgScPn06OTs7S+cqLGdhYWFUuXJlGj16NL1+/Vpp3ejRo8nJyYkuXrxIRGLLiSAI9O2330qfC8V3+pUrV8jIyIh27dpFRPw9mlcxMTFkYWFBt2/fpsWLF5OVlZVUsCIlJYU2btxIxsbGtGjRIunYK347//jjDzI1NVXbJdkQlPjEKi0tjfr3709169ZVOSnZuHEjCYJAAQEB0gt7//592rlzJ23bto2ioqKkLzdFYqWr6jy3bt0ic3NzqVna19eXqlatSqdPn1a7fadOnahcuXLSOK+sX7q1a9emwYMHE1H+P/x5jSvrYyYlJUndkBT9wf/55x/avXt3vmLTJiaF1atXk4mJidRtKyMjgx4+fCh9sebneOUnLiLlk5KmTZtSkyZNdHJSnj2uli1b5hrX1q1bqXr16vT69Ws6duwYtWjRgoyNjcna2po8PDykky59HKvs3V9fvHhBtra2Outymte4FCWQR48eTUSk9J3Su3dvqlWrFsXHxxd6XFnFxMRQxYoVqW3btpSQkJDvWFjRFhcXR97e3tIJO1FmonTs2DGl72sisepsz549qVy5cnTs2DGlz/3Zs2fJ3Nyc1qxZU3hPoIRISUmhOnXqkIeHh8qV+rFjx5Kzs7PBdo0yJHK5nNatW6e0TPF+//3338nExES6MPb69Wvq2bMnubi40J9//ql0n/Pnz5MgCLRx48bCCbwYkclkFBkZSdWrV6cTJ05QdHQ0NWnShCpXriwlS9HR0TR8+HCysrKiTZs2SfeVy+U0YsQIcnFxofDwcINMaEt0YqV4Qfr160e1a9em9PR0lcIVnTt3JgcHB9q3b1+u+xo/fjzZ29urHWyXV4qkKOtVeUXLysSJE6UTs6wn3k+ePCErKytq0qQJXb58WVr+77//krW1NQUGBhZaXOre6IpYFZMG161blwIDA8nNzY0cHBy0rlyYn5iIiLp27SpVuQoPD6fNmzdTgwYNyMvLS5rwsrDjyn6V99ChQ2RqakqTJ0/WOh5t4lLE9vfff5OZmRl16dKFjI2NqXnz5nTixAn6/fffpSQiP/3MdXmsVq9eTYIg0M8//6x1PHmNK2sM4eHhZG1trdIKevPmTXJ3d6dBgwbl+4dAF8erZ8+eVLt2bUpKSjLIHyZWOBTvh9u3b6stgBIaGkomJiZSdVKF69evU/ny5alhw4bS+/z58+c0bdo0KleunNquUyz/zp49S+XLl6e6devSyZMn6enTp3TgwAGqXLkyTZkyhT/LGlJc8Mre9T8oKIiMjY2VpmQJDw+nsmXLUu3atengwYNEJE4GP378eKpYsSJFR0cXXuDFSFxcHJUqVUq6GLh27Vqyt7en4cOHExFRbGwsRUdHk4+PD9nY2NDXX39NoaGhtH79eqpUqZJBzyVWYhKrrVu30ujRo2nx4sV04sQJpXXff/89GRkZSWMUMjIypB+ZsLAwEgSBRo0apfaE5cWLF7Rjxw6qVKkSzZo1S2dxZX0MRSxDhgwhW1tblSsnii+H4OBg+uCDD6hy5cr0ww8/0Pr166lr167k5uZG//33X6HHpc6TJ0+keSAEQaDu3bsrdTErrJjkcjklJiaSq6sr9e/fn44cOULdunUjQRDI398/TwlyQR2rZ8+e0d69e8nPz49q1aoljaEr7LhOnz5N9erVo5o1a9KqVasoPDxces81b96cRo4cqXFiVVDHKjo6mnbt2kX16tUjPz+/PFef1OXncOvWreTq6kr29vY0cuRIWrhwIX344YdkZ2eX5y6nBXG85HI5zZ8/nwRBkK4O8gkZy0rxftizZw8JgiCdaGZ9nxw/fpyqVKlCgiBQ8+bNqW3btmRubk5ffvklpaam8nuqgBw9epSqVKlCpqam5O7uTtbW1uTl5aXzwjglieI7dNKkSeTi4iJdYFd8px86dIi8vLxIEATy9PSkpk2bkqmpKQUGBlJGRga/17Xw6NEjqlatmvR7lZqaSh999BE5OjpSv379yMvLiy5dukSPHj2i0aNHkyAIZGtrSxYWFvTxxx/rpOdHQSn2iVV0dDR17NiRSpcuTV5eXmRnZ0fm5uY0e/ZsqZzs/v37ydnZmT755BOl+yo+bCNGjKDy5csrXcV49uwZLVq0iPr160c2Njbk5+eXp4F0ucWlaM7PPglrREQEWVlZUc+ePaVkRCaTqfzYNW/enGxsbMjBwYHq1auXp+6Juowru5MnT5K/vz8ZGRlRgwYNNO4SV1AxPXjwgEqVKkVeXl5kZWVF1atXz1PJ2oKK6/jx4zRy5Ejq3bs3lSlThurXr08XLlwo9LgUV/XS0tLoxIkTdP36dSmBUtxP0xL1BXmsPvvsM/r444/JysqKvLy8VCp3FlZcWT+Hp0+fpo4dO5KtrS05OztTgwYNVC7o6ON4KaxYsYIEQVCqusRYdl999RXZ2dnRq1ev1I53fPDgAc2ZM4f69etH/v7+7+3ZwXTjwYMHFBISQt98841SNymWPw0bNqRevXoRkWpr1osXL2jx4sU0cuRI6tevn0qBIpY3L1++JHNzc6Xz0y+//JLMzMzI2NiYZs6cqdST6fbt23Ts2DGd1TEoSMU+sdq4cSPZ29tTSEgIPXv2jF6+fElDhw6V5qUiInr79i317t2bnJycpJOfrB+qEydOkJGRkdKV4Bs3btAnn3xCTZs2lSbu01Vc6po4FT9kCxYsICMjI1q3bp3SiVzW/ycnJ9Pz58/zdDJeUHFldeTIETIzM6NVq1YZRExHjx4lQRDI2dk5zzEVZFx79+4lDw8PatWqFf36668GEVd+r8gV1LHavn07WVlZkY+Pj1bd/wryc5iamkqvXr2ia9eu6T0uBUWiFRUVRcHBwXmOi5UMivdJx44dqWnTphpvz1hRFRMTQ5aWllL1XSLxfa1uPjeWfw8fPqRq1apRaGgonTlzhnx9fcnY2JiqVq1K1tbW0jhNXVdqLgzFPrHy8/OjJk2aKC178+YNDRkyhARBkAon7N69mypUqEDt2rWTtlO8oDdv3iRra2tp4kOFqKgorX9Q3heXooRn9v2npaWRu7s7+fj4SJPZPXz4UGm8RX5+5AoyLiLtPiS6jinrVZC1a9eqjKszhLgePnxoEO+tBw8eqLyG+o4p+7G6du2a1l++JfFzyN1WmEJu79GMjAyytbVV6uL+8uVLOnr0KL19+5aI+L3Eig/Fhdbjx48TkXh+t2nTJvL29tbJbyBTFhERQebm5uTp6UkmJibUtGlTCg0NpdOnT1Pt2rWpfPnyRTapLbaJlUwmo5SUFOrYsSM1b95cWq7oznDp0iVq2LAhVa5cWVr35ZdfkrGxsUoCdenSJRIEQZoQNT8/JprGVaVKFZXHyV5effr06bRhwwby8vKiiRMn5muiVkOMqyBjyk81tIKMKz9lywsyLsWJlCHFZKjHqrh9DlnxI5fLlZKqXbt20fnz55W2uXz5slQRMDk5mc6cOSPNbaWYZoSxok7xPbpkyRKytbWle/fu0bFjx+ijjz4iU1NTatSokdK8kkw3MjIy6JNPPiEPDw9auXIlPX36VPoNmzVrFg0ePJji4+OL5HEvFonV7du3adKkSTRhwgSaOXOmdKWWiKhHjx5UvXp1aeB/1h+TdevWkSAItGzZMiISr84PHjyYBEGgwMBA+u+//+jSpUs0YMAAqlWrFt2/f79Q41qxYgURqbbypKenk7e3NxkbG5MgCOTq6ipVqymqcRliTBwXv4YlMS5WvGV9v9y4cYPatm1LgiDQwoULlU5ivv/+ezI2Nqbt27fT/PnzycHBgVxcXKQLjIwVJz179iR3d3caOXIklSlThqpWrcoTXRewiIgIunHjhso0MprMx2jIinRilZqaSlOnTiVLS0tq1KgRVa1alQRBoCpVqkjzu2zfvp0EQaBff/1VOjlR/LA8fvyY2rZtS5UrV5Ze2NjYWBo1ahRZWVlR6dKlqXz58mRtbZ2n8Qi6jCt7sYDLly/TzJkzycrKisqUKUPfffddkY7LEGPiuPg1LIlxseIta0KVmJhIo0aNIkEQqHHjxtJYPqLMJH7MmDFUunRpqlKlCpmYmNDMmTP1EjdjBS05OZk8PT1JEASytraWLloxpo0im1glJibSjBkzqEqVKrRkyRK6e/cuyWQyOnLkCJUrV458fX3p7du3lJGRQfXr16eWLVuqnVtjzpw5ZGtrK02sSyT+sJw5c4Z+/vlnWrlypTR5rD7iUoylIBJPnsaPH0+CINCQIUOKfFyGGBPHxa9hSYyLFV9Z56QjEitClilThsqXL09Lly6l+/fvqx1r1bx5cxIEgQYNGsRjTFixN23aNJo+fbpK6wljeVVkE6uwsDCqXLkyjR49ml6/fq20bvTo0eTk5EQXL14kIqJNmzaRIAj07bffSuMMFFd6r1y5QkZGRrRr1y4iyn8FkoKKS9E0ev78eWm+raIelyHGxHHxa1gS42LF38GDB6lGjRpkYWFBY8eOpfPnz6udLkHxG3ju3DnpvchYcceVLZmuFNnESi6X07p165SWKaq7/f7772RiYiJNmPf69Wvq2bMnubi4qEyeef78eRIEgTZu3MhxFXJchhgTx1X0Y+K4GMskk8no66+/JkEQqGvXrnTgwAFpLjTGGGO6VWQTK6LMq7TZW5mCgoLI2NhYaULf8PBwKlu2LNWuXVsayB0ZGUnjx4+nihUrUnR0NMelh7gMMSaOq+jHxHExlunYsWO0ceNGioiI0HcojDFWrBXpxCo7RVPupEmTyMXFRboSrDiBOXToEHl5eZEgCOTp6UlNmzYlU1NTCgwMpIyMjAIr68hxFe2YOK6iHxPHxUqy7OOs+D3DGGMFQyAiQjHTqFEjVKpUCdu3b4dMJoOxsbG0LjY2Fr/88gsePnyIhIQETJo0CU2bNuW4DCwuQ4yJ4yr6MXFcjDHGGCsw+s7sdC0mJoYsLS0pKChIWiaTyfQ+gzPHVbRjIuK4inpMRBwXY4wxxgqOkb4TO127ceMGUlJS4O3tDQCIjo7G//73P3Ts2BEvXrzguIpAXIYYE8dV9GPiuBhjjDFWkIpNYkXvejReuHABNjY2KFeuHI4fP46xY8fi008/BRHByMhI2o7jMry4DDEmjqvox8RxMcYYY6wwmOg7AF0RBAEAcO7cOTg4OCAoKAhbt26Fi4sL9u/fj/bt23NcBh6XIcbEcRX9mDguxhhjjBWKQupyWCiSk5PJ09OTBEEga2trWrFihb5DIiKOq6jHRMRxFfWYiDguxhhjjBWsYlcVcPr06RAEAYGBgTA3N9d3OBKOS3OGGBPAceWFIcYEcFyMMcYYKzjFLrGSy+UwMjK8oWMcl+YMMSaA48oLQ4wJ4LgYY4wxVnCKXWLFGGOMMcYYY4WNL5EyxhhjjDHGWD5xYsUYY4wxxhhj+cSJFWOMMcYYY4zlEydWjDHGGGNFTHBwMARBwOPHj7W6/9ChQ1GpUiWdxlSY8vv81Xn8+DEEQUBwcLDO9plXnTp1wsiRI3W2v/79+6Nv37462x/LHSdWjDHGGCsxVq9eDUEQ4OPjo+9QmJ7873//w3fffafvMFScPn0aoaGhmD59urTs9evXGDhwIOzs7FClShX88ssvKve7ePEiSpUqhbCwMJV106dPx44dO3Dt2rUCjZ2JOLFijDHGWIkREhKCSpUq4fz583jw4IG+w2F6kFNiVbFiRSQnJ+OTTz4p/KAABAUFoW3btvDw8JCWTZ06FcePH0dgYCC6dOmCkSNH4syZM9J6IsLEiRMxefJkVK5cWWWfDRo0QKNGjbB8+fJCeQ4lHSdWjDHGGCsRwsLCcObMGXz77bdwcnJCSEiIvkMqcd68eaPvEHIkCAIsUsLMhgAAEW5JREFULCxgbGxc6I8dExOD/fv3q3Tb27dvHxYtWoSJEyfihx9+QMuWLbF3715pfUhICJ48eYIZM2bkuO++ffti586dSEpKKrD4mYgTK8YYY4yVCCEhIbCzs0Pnzp3Ru3dvtYmVYpzNsmXLsG7dOri7u8Pc3Bze3t64cOGC0rZDhw6FlZUVIiMj0aNHD1hZWcHJyQlTp06FTCaTtjt+/DgEQcDx48fVPlbWMT3//fcfhg4diipVqsDCwgIuLi749NNP8fLlS62f959//ok6derAwsICderUwa5du9RuJ5fL8d1336F27dqwsLBA2bJlMXr0aLx69Upluzlz5qBcuXIoVaoUWrdujVu3bqFSpUoYOnSotJ1iHNQ///yDsWPHwtnZGRUqVAAAPHnyBGPHjkX16tVhaWkJBwcH9OnTR+2YqZs3b6JNmzawtLREhQoVMH/+fMjlcpXtdu/ejc6dO6NcuXIwNzeHu7s75s2bp/RatGrVCvv378eTJ08gCAIEQZDGmuU0xuro0aPw9fVF6dKlYWtri+7du+P27dtK28yZMweCIODBgwcYOnQobG1tYWNjg2HDhuHt27c5vTSS/fv3IyMjA+3atVNanpycDDs7O+m2vb29tL83b97gq6++wqJFi2BlZZXjvtu3b483b97g8OHD742D5Y+JvgNgjGUKDg7GsGHDpNvm5uawt7dH3bp10blzZwwbNgxlypTJ837PnDmD0NBQTJ48Gba2tjqMmDHGio6QkBD07NkTZmZm+Pjjj/HTTz/hwoUL8Pb2Vtn2f//7HxITEzF69GgIgoClS5eiZ8+eePToEUxNTaXtZDIZOnbsCB8fHyxbtgxHjhzB8uXL4e7ujjFjxuQ5xsOHD+PRo0cYNmwYXFxccPPmTaxbtw43b97Ev//+C0EQ8rS/0NBQ9OrVC7Vq1cKiRYvw8uVLDBs2TEpwsho9erT0OzRx4kSEhYVh1apVuHLlCk6fPi0974CAACxduhRdu3ZFx44dce3aNXTs2BEpKSlqYxg7diycnJzwzTffSC1WFy5cwJkzZ9C/f39UqFABjx8/xk8//YRWrVrh1q1bKFWqFAAgOjoarVu3RkZGBr766iuULl0a69atg6WlpcrjBAcHw8rKCp9//jmsrKxw9OhRfPPNN0hISEBQUBAAYObMmYiPj0dERARWrFgBALkmJUeOHMGHH36IKlWqYM6cOUhOTsbKlSvRvHlzXL58WaUASN++fVG5cmUsWrQIly9fxvr16+Hs7IwlS5bk+jqdOXMGDg4OqFixotJyb29vfPvtt6hRowYePXqEgwcP4ueffwYALFy4EOXLl39v18VatWrB0tISp0+fxkcffZTrtiyfiDFmMDZs2EAAaO7cubRp0yb69ddfaeHChdShQwcSBIEqVqxI165dy/N+g4KCCACFhYXpPmjGGCsCLl68SADo8OHDREQkl8upQoUKNGnSJKXtwsLCCAA5ODhQXFyctHz37t0EgPbu3SstGzJkiPSdnVWDBg2oYcOG0u1jx44RADp27Jjax9qwYYO07O3btyqxb9myhQDQiRMnpGWK34v3fa97enqSq6srvX79WloWGhpKAKhixYrSspMnTxIACgkJUbr/wYMHlZZHR0eTiYkJ9ejRQ2m7OXPmEAAaMmSISowtWrSgjIwMpe3VPc+zZ88SAPrtt9+kZZMnTyYAdO7cOWlZTEwM2djYqDx/dfscPXo0lSpVilJSUqRlnTt3VnruCupeD09PT3J2dqaXL19Ky65du0ZGRkY0ePBgadns2bMJAH366adK+/zoo4/IwcFB5bGya9GihdJ7RuG///6jChUqEAACQL169SKZTEaPHj0iS0tLOnv27Hv3TURUrVo1+vDDDzXalmmPuwIyZoA+/PBDDBo0CMOGDUNAQAAOHTqEI0eOICYmBt26dUNycrK+Q2SMsSIlJCQEZcuWRevWrQGI42n69euHrVu3KnUVU+jXr59SFyxfX18AwKNHj1S2/eyzz5Ru+/r6qt1OE1lbYlJSUhAbG4smTZoAAC5fvpynfUVFReHq1asYMmQIbGxspOXt27dHrVq1lLb9448/YGNjg/bt2yM2Nlb6a9iwIaysrHDs2DEAwN9//42MjAyMHTtW6f4TJkzIMY6RI0eqjFvK+jzT09Px8uVLeHh4wNbWVul5/vXXX2jSpAkaN24sLXNycsLAgQNVHifrPhMTExEbGwtfX1+8ffsWd+7cyTG+nCiO39ChQ2Fvby8tr1evHtq3b4+//vpL5T7q3gsvX75EQkJCro/18uVLpfebQt26dXH//n1cuHAB9+/fx/bt22FkZIQvvvgCvXr1QpMmTbBz507Ur18flStXxty5c0FEKvuxs7NDbGyspk+daYkTK8aKiDZt2mDWrFl48uQJNm/eDECzvvhz5szBl19+CQCoXLmy1Kc8az/2zZs3o2HDhrC0tIS9vT369++P8PDwQn1+jDFWUGQyGbZu3YrWrVsjLCwMDx48wIMHD+Dj44Pnz5/j77//VrnPBx98oHRbcdKbfbyRhYUFnJycVLbNvp2m4uLiMGnSJJQtWxaWlpZwcnKSqr3Fx8fnaV9PnjwBAFStWlVlXfXq1ZVu379/H/Hx8XB2doaTk5PSX1JSEmJiYpT2mbVyHSCO/VGXGABQW60uOTkZ33zzDdzc3GBubg5HR0c4OTnh9evXSs/zyZMnGsUPiGOxPvroI9jY2MDa2hpOTk4YNGgQgLwfO8Vj5/RYNWvWRGxsrEoxDk3fN+qoS4gA8T3WqFEj6ZgfPXoUoaGhWLx4Me7evYv+/ftj8uTJ+PXXX7F69Wq183ARUZ67kbK84zFWjBUhn3zyCWbMmIHQ0FCMHDlSo774PXv2xL1797BlyxasWLECjo6OACCdCCxYsACzZs1C3759MWLECLx48QIrV65Ey5YtceXKFR6TxRgr8o4ePYqoqChs3boVW7duVVkfEhKCDh06KC3LqTJc9pNfTSrI5XRCq66lrG/fvjhz5gy+/PJLeHp6wsrKCnK5HP7+/moLNuiKXC6Hs7NzjpUSsyePeaFuPNSECROwYcMGTJ48GU2bNoWNjQ0EQUD//v21ep6vX7+Gn58frK2tMXfuXLi7u8PCwgKXL1/G9OnTC/TYZaXp+yY7BwcHjZIvmUyGSZMm4auvvkL58uUxb948NGvWTBqfPXr0aISEhCiN1wbExE5dgsp0ixMrxoqQChUqwMbGBg8fPgQgDgj+4osvlLZp0qQJPv74Y5w6dQq+vr6oV68evLy8sGXLFvTo0UNpoO2TJ08we/ZszJ8/X6lUa8+ePdGgQQOsXr061xKujDFWFISEhMDZ2Rk//vijyrqdO3di165dWLNmjdoEQBcUrRavX79WWq5oEVF49eoV/v77bwQGBuKbb76Rlt+/f1+rx1UUQlB3/7t37yrddnd3x5EjR9C8efNcj4Ninw8ePFBqiXr58mWeWum2b9+OIUOGKM2vlJKSonKMKlasqFH8x48fx8uXL7Fz5060bNlSWq5u0lxNW24UzzX7YwHAnTt34OjoiNKlS2u0r/epUaMGduzY8d7tfvrpJyQmJmLq1KkAgGfPnqFcuXLS+nLlyiEyMlLpPhkZGQgPD0e3bt10EivLGXcFZKyIsbKyQmJiIoD898XfuXMn5HI5+vbtq9Sn3sXFBVWrVpX61DPGWFGVnJyMnTt3okuXLujdu7fK3/jx45GYmIg9e/YUWAwVK1aEsbExTpw4obR89erVSrcVrR3ZWzfUTWarCVdXV3h6emLjxo1KXeEOHz6MW7duKW3bt29fyGQyzJs3T2U/GRkZUsLTtm1bmJiY4KefflLaZtWqVXmKzdjYWOV5rly5UqUVr1OnTvj3339x/vx5admLFy9UWtbUHbu0tDSVYwwApUuX1qhrYNbjlzXhu3HjBkJDQ9GpU6f37kNTTZs2xatXr3IdmxcXF4fZs2cjKCgIFhYWAICyZcsqjR+7ffs2XFxclO5369YtpKSkoFmzZjqLl6nHLVaMFTFJSUlwdnYGIH7JBgYGYuvWrVL/dwVNfjTu378PIsqxe0DWksKMMVYU7dmzB4mJiTlerW/SpIk0WXC/fv0KJAYbGxv06dMHK1euhCAIcHd3x759+1S+t62trdGyZUssXboU6enpKF++PEJDQ9W2umhq0aJF6Ny5M1q0aIFPP/0UcXFxWLlyJWrXrq00Yayfnx9Gjx6NRYsW4erVq+jQoQNMTU1x//59/PHHH/j+++/Ru3dvlC1bFpMmTcLy5cvRrVs3+Pv749q1azhw4AAcHR01bg3q0qULNm3aBBsbG9SqVQtnz57FkSNH4ODgoLTdtGnTsGnTJvj7+2PSpElSufWKFSviv//+k7Zr1qwZ7OzsMGTIEEycOBGCIGDTpk1qu+A1bNgQ27Ztw+effw5vb29YWVmha9euauMMCgrChx9+iKZNm2L48OFSuXUbGxvMmTNHo+eqic6dO8PExARHjhzBqFGj1G4za9Ys1K1bF3369JGW9erVC3PnzsWYMWNQsWJFrF27Ft9++63S/Q4fPoxSpUqhffv2OouXqceJFWNFSEREBOLj46UBrPntiy+XyyEIAg4cOKC2X3huc3swxlhREBISAgsLixxPKo2MjNC5c2eEhITkaxLe91m5ciXS09OxZs0amJubo2/fvggKCkKdOnWUtvvf//6HCRMm4McffwQRoUOHDjhw4IBSd6+88Pf3xx9//IGvv/4aAQEBcHd3x4YNG7B7926VCYvXrFmDhg0bYu3atZgxYwZMTExQqVIlDBo0CM2bN5e2W7JkCUqVKoWff/4ZR44cQdOmTREaGooWLVpILSnv8/3338PY2BghISFISUlB8+bNceTIEXTs2FFpO1dXVxw7dgwTJkzA4sWL4eDggM8++wzlypXD8OHDpe0cHBywb98+fPHFF/j6669hZ2eHQYMGoW3btir7HDt2LK5evYoNGzZgxYoVqFixYo6JVbt27XDw4EHMnj0b33zzDUxNTeHn54clS5aoLcqhrbJly6JTp074/fff1SZW169fx/r163Hu3Dml5XXr1sWGDRswZ84cJCYmYuzYsSr3/+OPP9CzZ0+t5sFkeaSnMu+MMTUUc35cuHBB7fqFCxcSAFq/fj3FxcURAAoMDFTa5t69ewSAZs+eLS1btmyZ2vlOli5dSgDo7t27un4qjDHGSpBXr14RAJo/f76+QymyTpw4QUZGRnTv3j2d7fPKlSskCAJduXJFZ/tkOeMxVowVEUePHsW8efNQuXJlDBw4ME998RWDa7MPCu7ZsyeMjY0RGBiosh8iKtCrt4wxxoomdXMpKn57WrVqVbjBFCO+vr7o0KEDli5dqrN9Ll68GL1794anp6fO9slyxl0BGTNABw4cwJ07d5CRkYHnz5/j6NGjOHz4MCpWrIg9e/bAwsICFhYWGvfFb9iwIQBg5syZ6N+/P0xNTdG1a1e4u7tj/vz5CAgIwOPHj9GjRw+UKVMGYWFh2LVrF0aNGiVVHmKMMcYAYNu2bQgODkanTp1gZWWFU6dOYcuWLejQoYNSl0GWdwcOHNDp/tRNL8AKDidWjBkgRZldMzMz2Nvbo27duvjuu+8wbNgwpT7SmvbF9/b2xrx587BmzRocPHgQcrkcYWFhKF26NL766itUq1YNK1asQGBgIADAzc0NHTp04NKsjDHGVNSrVw8mJiZYunQpEhISpIIW8+fP13dojOmVQNn7/zDGGGOMMcYYyxMeY8UYY4wxxhhj+cSJFWOMMcYYY4zlEydWjDHGGGOMMZZPnFgxxhhjjDHGWD5xYsUYY4wxxhhj+cSJFWOMMcYYY4zlEydWjDHGGGOMMZZPnFgxxhhjjDHGWD5xYsUYY4wxxhhj+cSJFWOMMcYYY4zlEydWjDHGGGOMMZZPnFgxxhhjjDHGWD5xYsUYY4wxxhhj+fR/pjN7+qYgFqAAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "# Calculate the degradation rate using the YoY method\n",
-    "cs_yoy_rd, cs_yoy_ci, cs_yoy_info = rdtools.degradation_year_on_year(clearsky_daily, confidence_level=68.2)\n",
-    "# Note the default confidence_level of 68.2 is approrpriate if you would like to \n",
-    "# report a confidence interval analogous to the standard deviation of a normal\n",
-    "# distribution. The size of the confidence interval is adjustable by setting the\n",
-    "# confidence_level variable.\n",
+    "# The average soiling loss over the period with 95 % confidence intervals\n",
+    "# can be accessed through the soiling_loss attribute of CODS\n",
+    "soiling_loss = CODS.soiling_loss\n",
+    "print(f'Avg. Soiling loss {soiling_loss[0]:.3f} ({soiling_loss[1]:.3f}, {soiling_loss[2]:.3f}) (%)')\n",
     "\n",
-    "# Visualize the results\n",
-    "clearsky_fig = rdtools.degradation_summary_plots(cs_yoy_rd, cs_yoy_ci, cs_yoy_info, clearsky_daily,\n",
-    "                                                    summary_title='Clear-sky-based degradation results',\n",
-    "                                                    scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "                                                    hist_xmin=-30, hist_xmax=45, plot_color='orangered');\n",
-    "\n",
-    "print('The P95 exceedance level with the clear sky analysis is %.2f%%/yr' % cs_yoy_info['exceedance_level'])"
+    "# The estimated degradatio rate over the period with 95 % confidence intervals\n",
+    "# can be accessed through the degradation attribute of CODS\n",
+    "degradation = CODS.degradation\n",
+    "print(f'Degradation rate {degradation[0]:.3f} ({degradation[1]:.3f}, {degradation[2]:.3f}) (%)')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
+       "<Figure size 1000x800 with 3 Axes>"
       ]
      },
-     "execution_count": 22,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "# Compare to previous sensor restuls\n",
-    "degradation_fig"
+    "# The dataframe containing the time series of the different component fits\n",
+    "# can be accessed through CODS.result_df\n",
+    "result_df = CODS.result_df\n",
+    "\n",
+    "# Let us plot the time series of the results\n",
+    "# First: daily normalized energy along with the total model fit and degradation trend\n",
+    "fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(10, 8))\n",
+    "ax1.plot(daily_filtered.index, daily_filtered, 'o', alpha = 0.3)\n",
+    "ax1.plot(result_df.index, result_df.degradation_trend * CODS.residual_shift, color='g', linewidth=1,\n",
+    "         label='Degradation trend')\n",
+    "ax1.plot(result_df.index, result_df.degradation_trend * result_df.seasonal_component * CODS.residual_shift,\n",
+    "         color='C1', linewidth=1, label='Degradation * seasonal component * residual shift')\n",
+    "ax1.plot(result_df.index, result_df.total_model, color='k', linewidth=1,\n",
+    "         label='model fit')\n",
+    "ax1.set_ylim(0.6, 1.1)\n",
+    "ax1.set_ylabel('Normalized\\nenergy')\n",
+    "ax1.legend(bbox_to_anchor=(0.1, 1.1))\n",
+    "\n",
+    "# Second: soiling ratio with 95 % confidence intervals\n",
+    "ax2.plot(result_df.index, result_df.soiling_ratio, color='r', linewidth=1,\n",
+    "         label='Soiling Ratio')\n",
+    "ax2.fill_between(result_df.index, result_df.SR_low, result_df.SR_high,\n",
+    "                 color='r', alpha=.1, label='95 % confidence interval')\n",
+    "ax2.set_ylabel('Soiling Ratio')\n",
+    "ax2.legend()\n",
+    "\n",
+    "# Third: The residuals\n",
+    "ax3.plot(result_df.index, result_df.residuals, color='k', linewidth=1)\n",
+    "ax3.set_ylabel('Residuals')\n",
+    "\n",
+    "fig.autofmt_xdate()\n",
+    "plt.show()"
    ]
   },
   {
@@ -868,7 +94050,7 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -882,7 +94064,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.12.0"
   }
  },
  "nbformat": 4,
diff --git a/docs/degradation_and_soiling_example_pvdaq_4.ipynb b/docs/degradation_and_soiling_example_pvdaq_4.ipynb
deleted file mode 100644
index 2c726520e..000000000
--- a/docs/degradation_and_soiling_example_pvdaq_4.ipynb
+++ /dev/null
@@ -1,94148 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Degradation and soiling example with clearsky workflow\n",
-    "\n",
-    "\n",
-    "This jupyter notebook is intended to the RdTools analysis workflow.  In addition, the notebook demonstrates the effects of changes in the workflow. For a consistent experience, we recommend installing the specific versions of packages used to develop this notebook. This can be achieved in your environment by running `pip install -r requirements.txt` followed by `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) These environments and examples are tested with Python 3.10.\n",
-    "\n",
-    "The calculations consist of several steps illustrated here:\n",
-    "<ol start=\"0\">\n",
-    "  <li><b>Import and preliminary calculations</b></li>\n",
-    "  <li><b>Normalize</b> data using a performance metric</li>\n",
-    "  <li><b>Filter</b> data that creates bias</li>\n",
-    "  <li><b>Aggregate data</b></li>\n",
-    "  <li> <b>Analyze</b> aggregated data to estimate the degradation rate</li>\n",
-    "  <li> <b>Analyze</b> aggregated data to estimate the soiling loss</li>\n",
-    "</ol>\n",
-    "\n",
-    "After demonstrating these steps using sensor data, a modified version of the workflow is illustrated using modeled clear sky irradiance and temperature. The results from the two methods are compared at the end.\n",
-    "\n",
-    "This notebook works with data from the NREL PVDAQ `[4] NREL x-Si #1` system.  Note that because this system does not experience significant soiling, the dataset contains a synthesized soiling signal for use in the soiling section of the example.  This notebook automatically downloads and locally caches the dataset used in this example. The data can also be found on the DuraMAT Datahub (https://datahub.duramat.org/dataset/pvdaq-time-series-with-soiling-signal)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import pvlib\n",
-    "import rdtools\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Update the style of plots\n",
-    "import matplotlib\n",
-    "matplotlib.rcParams.update({'font.size': 12,\n",
-    "                           'figure.figsize': [4.5, 3],\n",
-    "                           'lines.markeredgewidth': 0,\n",
-    "                           'lines.markersize': 2\n",
-    "                           })\n",
-    "# Register time series plotting in pandas > 1.0\n",
-    "from pandas.plotting import register_matplotlib_converters\n",
-    "register_matplotlib_converters()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Set the random seed for numpy to ensure consistent results\n",
-    "np.random.seed(0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 0: Import and preliminary calculations\n",
-    "\n",
-    "\n",
-    "This section prepares the data necessary for an `rdtools` calculation. The first step of the `rdtools` workflow is normalization, which requires a time series of energy yield, a time series of cell temperature, and a time series of irradiance, along with some metadata (see Step 1: Normalize)\n",
-    "\n",
-    "The following section loads the data, adjusts units where needed, and renames the critical columns. The ambient temperature sensor data source is converted into estimated cell temperature.  This dataset already has plane-of-array irradiance data, so no transposition is necessary.\n",
-    "\n",
-    "A common challenge is handling datasets with and without daylight savings time. Make sure to specify a `pytz` timezone that does or does not include daylight savings time as appropriate for your dataset.\n",
-    "\n",
-    "<b>The steps of this section may change depending on your data source or the system being considered.</b>  Transposition of irradiance and modeling of cell temperature are generally outside the scope of `rdtools`. A variety of tools for these calculations are available in [pvlib](https://github.com/pvlib/pvlib-python)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Import the example data\n",
-    "file_url = ('https://datahub.duramat.org/dataset/a49bb656-7b36-'\n",
-    "            '437a-8089-1870a40c2a7d/resource/5059bc22-640d-4dd4'\n",
-    "            '-b7b1-1e71da15be24/download/pvdaq_system_4_2010-2016'\n",
-    "            '_subset_soilsignal.csv')\n",
-    "cache_file = 'PVDAQ_system_4_2010-2016_subset_soilsignal.pickle'\n",
-    "\n",
-    "try:\n",
-    "    df = pd.read_pickle(cache_file)\n",
-    "except FileNotFoundError:\n",
-    "    df = pd.read_csv(file_url, index_col=0, parse_dates=True)\n",
-    "    df.to_pickle(cache_file)\n",
-    "\n",
-    "df = df.rename(columns = {\n",
-    "    'ambient_temp': 'Tamb',\n",
-    "    'poa_irradiance': 'poa',\n",
-    "})\n",
-    "\n",
-    "# Specify the Metadata\n",
-    "meta = {\"latitude\": 39.7406,\n",
-    "        \"longitude\": -105.1774,\n",
-    "        \"timezone\": 'Etc/GMT+7',\n",
-    "        \"gamma_pdc\": -0.005,\n",
-    "        \"azimuth\": 180,\n",
-    "        \"tilt\": 40,\n",
-    "        \"power_dc_rated\": 1000.0,\n",
-    "        \"temp_model_params\":\n",
-    "        pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_polymer']}\n",
-    "\n",
-    "df.index = df.index.tz_localize(meta['timezone'])\n",
-    "\n",
-    "# There is some missing data, but we can infer the frequency from\n",
-    "# the first several data points\n",
-    "freq = pd.infer_freq(df.index[:10])\n",
-    "\n",
-    "# Then set the frequency of the dataframe.\n",
-    "# It is recommended not to up- or downsample at this step\n",
-    "# but rather to use interpolate to regularize the time series\n",
-    "# to its dominant or underlying frequency. Interpolate is not\n",
-    "# generally recommended for downsampling in this application.\n",
-    "df = rdtools.interpolate(df, freq)\n",
-    "\n",
-    "# Calculate cell temperature\n",
-    "df['Tcell'] = pvlib.temperature.sapm_cell(df.poa, df.Tamb,\n",
-    "                                          df.wind_speed, **meta['temp_model_params'])\n",
-    "\n",
-    "# plot the AC power time series\n",
-    "fig, ax = plt.subplots(figsize=(4,3))\n",
-    "ax.plot(df.index, df.ac_power, 'o', alpha=0.01)\n",
-    "ax.set_ylim(0,1500)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('AC Power (W)');"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This example dataset includes a synthetic soiling signal that can be applied onto the PV power data to illustrate the soiling loss and detection capabilities of RdTools.  AC Power is multiplied by soiling to create the synthetic 'power' channel"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 400x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(4,3))\n",
-    "ax.plot(df.index, df.soiling, 'o', alpha=0.01)\n",
-    "#ax.set_ylim(0,1500)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('soiling signal');\n",
-    "\n",
-    "df['power'] = df['ac_power'] * df['soiling']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 1: Normalize\n",
-    "\n",
-    "Data normalization is achieved with `rdtools.normalize_with_expected_power()`. This function can be used to normalize to any modeled or expected power. Note that realized PV output can be given as energy, rather than power, by using an optional key word argument. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Calculate the expected power with a simple PVWatts DC model\n",
-    "modeled_power = pvlib.pvsystem.pvwatts_dc(df['poa'], df['Tcell'], meta['power_dc_rated'],\n",
-    "                                          meta['gamma_pdc'], 25.0 )\n",
-    "\n",
-    "# Calculate the normalization, the function also returns the relevant insolation for\n",
-    "# each point in the normalized PV energy timeseries\n",
-    "normalized, insolation = rdtools.normalize_with_expected_power(df['power'],\n",
-    "                                                               modeled_power,\n",
-    "                                                               df['poa'])\n",
-    "\n",
-    "df['normalized'] = normalized\n",
-    "df['insolation'] = insolation\n",
-    "\n",
-    "# Plot the normalized power time series\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.plot(normalized.index, normalized, 'o', alpha = 0.05)\n",
-    "ax.set_ylim(0,2)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('Normalized energy');"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 2: Filter\n",
-    "\n",
-    "Data filtering is used to exclude data points that represent invalid data, create bias in the analysis, or introduce significant noise.\n",
-    "\n",
-    "It can also be useful to remove outages and outliers. Sometimes outages appear as low but non-zero yield. Automatic functions for outage detection are not yet included in `rdtools`.  However, this example does filter out data points where the normalized energy is less than 1%.  System-specific filters should be implemented by the analyst if needed."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Calculate a collection of boolean masks that can be used\n",
-    "# to filter the time series\n",
-    "normalized_mask = rdtools.normalized_filter(df['normalized'])\n",
-    "poa_mask = rdtools.poa_filter(df['poa'])\n",
-    "tcell_mask = rdtools.tcell_filter(df['Tcell'])\n",
-    "# Note: This clipping mask may be disabled when you are sure the system is not \n",
-    "# experiencing clipping due to high DC/AC ratio\n",
-    "clip_mask = rdtools.clip_filter(df['power'], 'quantile')\n",
-    "\n",
-    "# filter the time series and keep only the columns needed for the\n",
-    "# remaining steps\n",
-    "filtered = df[normalized_mask & poa_mask & tcell_mask & clip_mask]\n",
-    "filtered = filtered[['insolation', 'normalized']]\n",
-    "\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.plot(filtered.index, filtered.normalized, 'o', alpha = 0.05)\n",
-    "ax.set_ylim(0,2)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('Normalized energy');"
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-    "### Filter visualization example: different clipping filters\n",
-    "\n",
-    "RdTools provides functions to visualize and tune filters for different applications. In this example, we take a subset of the data, apply an artificial clipping signal, and visualize the results of three different clipping filter methods."
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-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n",
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:416: UserWarning: The logic-based filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n",
-      "  warnings.warn(\"The logic-based filter is an experimental clipping filter \"\n"
-     ]
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-   ],
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-    "# Apply an artificial clipping signal to a subset of the data\n",
-    "example_subset = df.iloc[0:15000].copy()\n",
-    "example_subset.loc[example_subset['ac_power']>800,'ac_power'] =800\n",
-    "\n",
-    "# Generate clipping masks with each of the available methods\n",
-    "clip_mask_quantile = rdtools.clip_filter(example_subset['ac_power'], 'quantile')\n",
-    "clip_mask_xgboost = rdtools.clip_filter(example_subset['ac_power'], 'xgboost')\n",
-    "clip_mask_logic = rdtools.clip_filter(example_subset['ac_power'], 'logic')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
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32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},i.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},i.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},i.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},i.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},i.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},i.prototype.isNeg=function(){return 0!==this.negative},i.prototype.neg=function(){return this.clone().ineg()},i.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},i.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},i.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},i.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},i.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},i.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},i.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],I=8191&P,z=P>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,Z=Y>>>13,X=0|s[3],J=8191&X,K=X>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(h,U))|0)+((8191&(a=(a=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((i=Math.imul(f,V))+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),a=(a=Math.imul(d,V))+Math.imul(g,U)|0,i=Math.imul(g,V);var vt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),a=(a=Math.imul(v,V))+Math.imul(y,U)|0,i=Math.imul(y,V),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,Z)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,Z)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),a=(a=Math.imul(b,V))+Math.imul(_,U)|0,i=Math.imul(_,V),n=n+Math.imul(v,H)|0,a=(a=a+Math.imul(v,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,Z)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,Z)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),a=(a=Math.imul(T,V))+Math.imul(k,U)|0,i=Math.imul(k,V),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,a=(a=a+Math.imul(v,Z)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,Z)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),a=(a=Math.imul(A,V))+Math.imul(S,U)|0,i=Math.imul(S,V),n=n+Math.imul(T,H)|0,a=(a=a+Math.imul(T,G)|0)+Math.imul(k,H)|0,i=i+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,Z)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,Z)|0,n=n+Math.imul(v,J)|0,a=(a=a+Math.imul(v,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),a=(a=Math.imul(C,V))+Math.imul(L,U)|0,i=Math.imul(L,V),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,a=(a=a+Math.imul(T,Z)|0)+Math.imul(k,W)|0,i=i+Math.imul(k,Z)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,a=(a=a+Math.imul(v,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),a=(a=Math.imul(I,V))+Math.imul(z,U)|0,i=Math.imul(z,V),n=n+Math.imul(C,H)|0,a=(a=a+Math.imul(C,G)|0)+Math.imul(L,H)|0,i=i+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,Z)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,Z)|0,n=n+Math.imul(T,J)|0,a=(a=a+Math.imul(T,K)|0)+Math.imul(k,J)|0,i=i+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,a=(a=a+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),a=(a=Math.imul(D,V))+Math.imul(R,U)|0,i=Math.imul(R,V),n=n+Math.imul(I,H)|0,a=(a=a+Math.imul(I,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,a=(a=a+Math.imul(C,Z)|0)+Math.imul(L,W)|0,i=i+Math.imul(L,Z)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,a=(a=a+Math.imul(T,tt)|0)+Math.imul(k,$)|0,i=i+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(v,it)|0,a=(a=a+Math.imul(v,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),a=(a=Math.imul(B,V))+Math.imul(N,U)|0,i=Math.imul(N,V),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,a=(a=a+Math.imul(I,Z)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,Z)|0,n=n+Math.imul(C,J)|0,a=(a=a+Math.imul(C,K)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,a=(a=a+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,i=i+Math.imul(k,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,a=(a=a+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,Z)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,Z)|0,n=n+Math.imul(I,J)|0,a=(a=a+Math.imul(I,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,a=(a=a+Math.imul(C,tt)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(T,it)|0,a=(a=a+Math.imul(T,ot)|0)+Math.imul(k,it)|0,i=i+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(v,ht)|0,a=(a=a+Math.imul(v,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,Z))+Math.imul(N,W)|0,i=Math.imul(N,Z),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,a=(a=a+Math.imul(I,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,a=(a=a+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,a=(a=a+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,i=i+Math.imul(k,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(a=(a=a+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,a=(a=a+Math.imul(I,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(C,it)|0,a=(a=a+Math.imul(C,ot)|0)+Math.imul(L,it)|0,i=i+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,a=(a=a+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,i=i+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(I,it)|0,a=(a=a+Math.imul(I,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,a=(a=a+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,i=i+Math.imul(L,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(a=(a=a+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((i=i+Math.imul(k,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,a=(a=a+Math.imul(I,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,a=(a=a+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,i=i+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(I,ht)|0,a=(a=a+Math.imul(I,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(a=(a=a+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((i=i+Math.imul(L,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(a=(a=a+Math.imul(I,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=It,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=h*m-f*v;v=h*v+f*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=i._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function T(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}v.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},a(y,v),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=4194303&a,n=10;n<t.length;n++){var i=0|t.words[n];t.words[n-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,t.words[n-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},a(x,v),a(b,v),a(_,v),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,a=67108863&n;n>>>=26,t.words[r]=a,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function(t){if(m[t])return m[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return m[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new i(1)).iushrn(2);return this.pow(t,r)}for(var a=this.m.subn(1),o=0;!a.isZero()&&0===a.andln(1);)o++,a.iushrn(1);n(!a.isZero());var s=new i(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new i(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,a),f=this.pow(t,a.addn(1).iushrn(1)),p=this.pow(t,a),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(h,new i(1).iushln(d-m-1));f=f.redMul(v),h=v.redSqr(),p=p.redMul(h),d=m}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new i(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var a=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var 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r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:108}],100:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,a=t.length,i=0;for(e=0;e<a;++e)i+=t[e].length;var o=new Array(i),s=0;for(e=0;e<a;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],101:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return h(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):f(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,a=t(\"typedarray-pool\"),i=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function 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-       "/*!\n",
-       " * The buffer module from node.js, for the browser.\n",
-       " *\n",
-       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
-       " * @license  MIT\n",
-       " */\n",
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i=e(t,r.key);n.push(r),i<0&&(a=n.length),r=i<0?r.left:r.right}return n.length=a,new f(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],a=0;r;){var i=e(t,r.key);n.push(r),i>0&&(a=n.length),r=i<=0?r.left:r.right}return n.length=a,new f(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],a=0;r;){var i=e(t,r.key);n.push(r),i>=0&&(a=n.length),r=i<0?r.left:r.right}return n.length=a,new f(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var a=e(t,r.key);if(n.push(r),0===a)return new f(this,n);r=a<=0?r.left:r.right}return new f(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=f.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new f(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var h=e[e.length-2];h.left===r?h.left=null:h.right===r&&(h.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var f=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=a(n)).right=a(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=a(n)).left=a(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=i(0,n));r.right=i(0,n);continue}n=a(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=a(n)).left=a(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=a(n)).right=a(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=i(0,n));r.left=i(0,n);continue}var c;n=a(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),f.left===r?f.left=null:f.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),a=e[e.length-1];r[r.length-1]=new n(a._color,a.key,t,a.left,a.right,a._count);for(var i=e.length-2;i>=0;--i)(a=e[i]).left===e[i+1]?r[i]=new n(a._color,a.key,a.value,r[i+1],a.right,a._count):r[i]=new n(a._color,a.key,a.value,a.left,r[i+1],a._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],248:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],a=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function i(t){if(t<0)return Number(\"0/0\");for(var e=a[0],r=a.length-1;r>0;--r)e+=a[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(i(e));e-=1;for(var r=n[0],a=1;a<9;a++)r+=n[a]/(e+a);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=i},{}],249:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,a=e;try{var i=[t];0===t.indexOf(\"webgl\")&&i.push(\"experimental-\"+t);for(var o=0;o<i.length;o++)if(n=r.getContext(i[o],a))return n}catch(t){n=null}return n||null}},{}],250:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),a=t(\"./lib/lines.js\"),i=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=i(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":280,\"robust-orientation\":520,\"split-polygon\":538}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],255:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:500,\"gl-buffer\":258,\"gl-vao\":332,\"vectorize-text\":572}],256:[function(t,e,r){\"use 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f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":252,\"extract-frustum-planes\":240,\"gl-mat4/multiply\":280,\"gl-mat4/transpose\":289,\"gl-vec4/transformMat4\":403,\"split-polygon\":538}],258:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],259:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":260,\"./lib/shaders\":261,\"gl-vec3\":351}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469}],261:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FOR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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],266:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new 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c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":327}],267:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":263,\"glsl-shader-name\":405,\"sprintf-js\":539}],268:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=i.mallocUint8(4*w),k=i.mallocFloat32(2*w),M=i.mallocUint8(2*w),A=i.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),i.free(k),i.free(T),i.free(M),i.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":269,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"iota-array\":437,\"typedarray-pool\":567}],269:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:413}],270:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":312,glslify:413}],271:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var 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t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":499}],291:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:413}],292:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":290,\"./lib/shaders\":291,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,normals:472,\"simplicial-complex-contour\":528,\"typedarray-pool\":567}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312}],295:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],296:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:413}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"text-cache\":547}],298:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":293,\"./lib/grid\":294,\"./lib/line\":295,\"./lib/text\":297,\"gl-select-static\":311}],299:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460,\"right-now\":514}],300:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":312,glslify:413}],301:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":299,\"./lib/shader\":300,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":257,\"gl-fbo\":266,\"gl-mat4/ortho\":281,\"gl-mat4/perspective\":282,\"gl-select-static\":311,\"gl-spikes3d\":321,\"is-mobile\":441,\"mouse-change\":457}],302:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:413}],303:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":302,\"gl-buffer\":258,\"gl-shader\":312,\"typedarray-pool\":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],306:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":572}],307:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":312,glslify:413}],308:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":305,\"./lib/glyphs\":306,\"./lib/shaders\":307,\"gl-buffer\":258,\"gl-mat4/multiply\":280,\"gl-vao\":332,\"is-string-blank\":444,\"typedarray-pool\":567}],309:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:413}],310:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,i),o.drawBox(h-v,d-v,p+v,d+v,i),o.drawBox(h-v,f-v,h+v,d+v,i),o.drawBox(p-v,f-v,p+v,d+v,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":309,\"gl-buffer\":258,\"gl-shader\":312}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||c<=l)return null;var u=[o-a,c-l],h=i(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(a+n[0]*l)),f=function(t,e,r){for(var n=1e8,a=-1,i=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,a=l,i=c)}}return[a,i,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+a|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":97,\"gl-fbo\":266,ndarray:469,\"typedarray-pool\":567}],312:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:i(r),attributes:i(c)},f.attributes=a(p,f,x,_),Object.defineProperty(f,\"uniforms\",n(p,f,r,S))},e.exports=function(t,e,r,n,a){var i=new c(t);return 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o=t.getActiveAttrib(e,a);o&&n.push({name:o.name,type:i(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},a=null;function i(t,e){if(!a){var r=Object.keys(n);a={};for(var i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],318:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function 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n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:413}],323:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":322,\"gl-cone3d\":259,\"gl-vec3\":351,\"gl-vec4\":387}],324:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":312,glslify:413}],325:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.isTransparent=function(){return this.opacity<1||this.opacityscale},S.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var v=g[o];if((Array.isArray(v)||v.length)&&(v=h(v)),v.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(v.data,i);y.stride[o]=v.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),S=w.get(1,o,b,0),E=w.get(1,o,b,1),C=w.get(2,o,b,0),L=w.get(2,o,b,1),P=S*L-E*C,I=C*A-L*M,z=M*E-A*S,O=Math.sqrt(P*P+I*I+z*z);O<1e-8?(O=Math.max(Math.abs(P),Math.abs(I),Math.abs(z)))<1e-8?(z=1,I=P=0,O=1):O=1/O:O=1/Math.sqrt(O),k.set(o,b,0,P*O),k.set(o,b,1,I*O),k.set(o,b,2,z*O)}s.free(w.data);var D=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,j=-1/0,U=(i[0]-1)*(i[1]-1)*6,V=s.mallocFloat(n.nextPow2(10*U)),q=0,H=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var G=0;G<2;++G)for(var Y=0;Y<2;++Y)for(var W=0;W<3;++W){var Z=this._field[W].get(1+o+G,1+b+Y);if(isNaN(Z)||!isFinite(Z))continue t}for(W=0;W<6;++W){var X=o+T[W][0],J=b+T[W][1],K=this._field[0].get(X+1,J+1),Q=this._field[1].get(X+1,J+1);Z=this._field[2].get(X+1,J+1),P=k.get(X+1,J+1,0),I=k.get(X+1,J+1,1),z=k.get(X+1,J+1,2),t.intensity&&($=t.intensity.get(X,J));var $=t.intensity?t.intensity.get(X,J):Z+this.objectOffset[2];V[q++]=X,V[q++]=J,V[q++]=K,V[q++]=Q,V[q++]=Z,V[q++]=0,V[q++]=$,V[q++]=P,V[q++]=I,V[q++]=z,D[0]=Math.min(D[0],K+this.objectOffset[0]),D[1]=Math.min(D[1],Q+this.objectOffset[1]),D[2]=Math.min(D[2],Z+this.objectOffset[2]),N=Math.min(N,$),F[0]=Math.max(F[0],K+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),j=Math.max(j,$),H+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],j=+t.intensityBounds[1]),o=6;o<q;o+=10)V[o]=(V[o]-N)/(j-N);this._vertexCount=H,this._coordinateBuffer.update(V.subarray(0,q)),s.freeFloat(V),s.free(k.data),this.bounds=[D,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===j||(r=!0),this.intensityBounds=[N,j]}if(\"levels\"in t){var tt=t.levels;for(tt=Array.isArray(tt[0])?tt.slice():[[],[],tt],o=0;o<3;++o)tt[o]=tt[o].slice(),tt[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(b=0;b<tt[o].length;++b)tt[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(tt[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<tt[o].length;++b)if(tt[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=tt}if(r){_=this._field,i=this.shape;for(var et=[],rt=0;rt<3;++rt){var nt=this.contourLevels[rt],at=[],it=[],ot=[0,0,0];for(o=0;o<nt.length;++o){var st=f(this._field[rt],nt[o]);at.push(et.length/5|0),H=0;t:for(b=0;b<st.cells.length;++b){var lt=st.cells[b];for(W=0;W<2;++W){var ct=st.positions[lt[W]],ut=ct[0],ht=0|Math.floor(ut),ft=ut-ht,pt=ct[1],dt=0|Math.floor(pt),gt=pt-dt,mt=!1;e:for(var vt=0;vt<3;++vt){ot[vt]=0;var yt=(rt+vt+1)%3;for(G=0;G<2;++G){var xt=G?ft:1-ft;for(X=0|Math.min(Math.max(ht+G,0),i[0]),Y=0;Y<2;++Y){var bt=Y?gt:1-gt;if(J=0|Math.min(Math.max(dt+Y,0),i[1]),Z=vt<2?this._field[yt].get(X,J):(this.intensity.get(X,J)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var _t=xt*bt;ot[vt]+=_t*Z}}}if(mt){if(W>0){for(var wt=0;wt<5;++wt)et.pop();H-=1}continue t}et.push(ot[0],ot[1],ct[0],ct[1],ot[2]),H+=1}}it.push(H)}this._contourOffsets[rt]=at,this._contourCounts[rt]=it}var Tt=s.mallocFloat(et.length);for(o=0;o<et.length;++o)Tt[o]=et[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]}))]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":324,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,\"ndarray-gradient\":462,\"ndarray-ops\":464,\"ndarray-pack\":465,\"surface-nets\":542,\"typedarray-pool\":567}],326:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":328,\"is-plain-obj\":443,\"object-assign\":473,\"parse-rect\":478,\"parse-unit\":480,\"pick-by-alias\":485,regl:512,\"to-px\":550,\"typedarray-pool\":567}],327:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var x=n(f,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||i.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===f?d=t.FLOAT:\"float64\"===f?(d=t.FLOAT,v=!1,f=\"float32\"):\"uint8\"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?i.mallocFloat32(y):i.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?h(_,u):a.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?i.freeFloat32(b):i.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],328:[function(t,e,r){(function(r){\"use strict\";var n=t(\"pick-by-alias\");function 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n;try{n=s(r,i)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(i)}).call(this,t(\"buffer\").Buffer)},{\"./detector\":417,\"./types\":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){return r=r||0,t[\"readUInt\"+e+(n?\"BE\":\"LE\")].call(t,r)}},{}],420:[function(t,e,r){\"use strict\";var n={bmp:t(\"./types/bmp\"),cur:t(\"./types/cur\"),dds:t(\"./types/dds\"),gif:t(\"./types/gif\"),icns:t(\"./types/icns\"),ico:t(\"./types/ico\"),jpg:t(\"./types/jpg\"),png:t(\"./types/png\"),psd:t(\"./types/psd\"),svg:t(\"./types/svg\"),tiff:t(\"./types/tiff\"),webp:t(\"./types/webp\")};e.exports=n},{\"./types/bmp\":421,\"./types/cur\":422,\"./types/dds\":423,\"./types/gif\":424,\"./types/icns\":425,\"./types/ico\":426,\"./types/jpg\":427,\"./types/png\":428,\"./types/psd\":429,\"./types/svg\":430,\"./types/tiff\":431,\"./types/webp\":432}],421:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"BM\"===t.toString(\"ascii\",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t(\"./ico\").calculate}},{\"./ico\":426}],423:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){\"use strict\";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString(\"ascii\",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){\"use strict\";var n={ICON:32,\"ICN#\":32,\"icm#\":16,icm4:16,icm8:16,\"ics#\":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function a(t,e){var r=e+4;return[t.toString(\"ascii\",e,r),t.readUInt32BE(r)]}function i(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return\"icns\"===t.toString(\"ascii\",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=i((e=a(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=i((e=a(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){\"use strict\";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function a(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=a(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(a(t,e));return n}}},{}],427:[function(t,e,r){\"use strict\";var n=t(\"../readUInt\");function a(t){return\"45786966\"===t.toString(\"hex\",2,6)}function i(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),a=r.toString(\"hex\",6,8),i=\"4d4d\"===a;if(i||\"4949\"===a)return function(t,e){for(var r,a,i=n(t,16,14,e),o=0;o<i;o++){if(a=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,a);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,i)}function s(t,e){if(e>t.length)throw new TypeError(\"Corrupt JPG, exceeded buffer limits\");if(255!==t[e])throw new TypeError(\"Invalid JPG, marker table corrupted\")}e.exports={detect:function(t){return\"ffd8\"===t.toString(\"hex\",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),a(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=i(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError(\"Invalid JPG, no size found\")}}},{\"../readUInt\":419}],428:[function(t,e,r){\"use strict\";e.exports={detect:function(t){if(\"PNG\\r\\n\\x1a\\n\"===t.toString(\"ascii\",1,8)){var e=t.toString(\"ascii\",12,16);if(\"CgBI\"===e&&(e=t.toString(\"ascii\",28,32)),\"IHDR\"!==e)throw new TypeError(\"invalid png\");return!0}},calculate:function(t){return\"CgBI\"===t.toString(\"ascii\",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"8BPS\"===t.toString(\"ascii\",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){\"use strict\";var n=/<svg\\s([^>\"']|\"[^\"]*\"|'[^']*')*>/;var a={root:n,width:/\\swidth=(['\"])([^%]+?)\\1/,height:/\\sheight=(['\"])([^%]+?)\\1/,viewbox:/\\sviewBox=(['\"])(.+?)\\1/},i={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(i[e[2]]||1))}function s(t){var e=t.split(\" \");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString(\"utf8\").match(a.root);if(e){var r=function(t){var e=t.match(a.width),r=t.match(a.height),n=t.match(a.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError(\"invalid svg\")}}},{}],431:[function(t,e,r){(function(r){\"use strict\";var n=t(\"fs\"),a=t(\"../readUInt\");function i(t,e){var r=a(t,16,8,e);return(a(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString(\"hex\",0,4);return\"49492a00\"===e||\"4d4d002a\"===e},calculate:function(t,e){if(!e)throw new TypeError(\"Tiff doesn't support buffer\");var s=\"BE\"===function(t){var e=t.toString(\"ascii\",0,2);return\"II\"===e?\"LE\":\"MM\"===e?\"BE\":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=a(t,16,0,e),n=a(t,16,2,e),s=a(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=i(t,e)),t=o(t);return l}(function(t,e,i){var o=a(t,32,4,i),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,\"r\");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError(\"Invalid Tiff, missing tags\");return{width:c,height:u}}}}).call(this,t(\"buffer\").Buffer)},{\"../readUInt\":419,buffer:111,fs:109}],432:[function(t,e,r){\"use strict\";e.exports={detect:function(t){var e=\"RIFF\"===t.toString(\"ascii\",0,4),r=\"WEBP\"===t.toString(\"ascii\",8,12),n=\"VP8\"===t.toString(\"ascii\",12,15);return e&&r&&n},calculate:function(t){var e=t.toString(\"ascii\",12,16);if(t=t.slice(20,30),\"VP8X\"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if(\"VP8 \"===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString(\"hex\",3,6);return\"VP8L\"===e&&\"9d012a\"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var a=t[0].length;if(r<=a)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,a+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(a+1),u=0;u<=a;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new i(l,new Array(a+1),!1),f=h.adjacent,p=new Array(a+2);for(u=0;u<=a;++u){for(var d=l.slice(),g=0;g<=a;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new i(d,new Array(a+1),!0);f[u]=v,p[u]=v}p[a+1]=h;for(u=0;u<=a;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=a;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=a;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(a,o,p),w=!!e;for(u=a+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),a=t(\"simplicial-complex\").compareCells;function i(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];a[h]=f<0?e:i[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,i=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)i[u]=a[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=i[u];i[u]=t;var p=this.orient();if(i[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=a[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new i(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var a=this.dimension,i=this.tuple,o=0;o<=a;++o){var s=n.vertices[o];i[o]=s<0?t:r[s]}var l=this.orient(i);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,a=0;a<n;++a){var i=r[a];if(i.boundary){for(var o=new Array(t),s=i.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":520,\"simplicial-complex\":530}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function a(t,e,r,n,a){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=a,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var i=a.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var a=r(t[n]);if(a)return a}}function h(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var a=r(t[n]);if(a)return a}}function f(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],i=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?i.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new a(n,m(i),m(o),c,u)}function v(t){this.root=t}i.intervals=function(t){return 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this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,a=this.left;a.right;)r=a,a=a.right;if(r===this)a.right=this.right;else{var i=this.left,s=this.right;r.count-=a.count,r.right=a.left,a.left=i,a.right=s}o(this,a),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(i=n.ge(this.leftPoints,t,d);i<this.leftPoints.length&&this.leftPoints[i][0]===t[0];++i)if(this.leftPoints[i]===t){this.count-=1,this.leftPoints.splice(i,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},i.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return h(this.rightPoints,t,e)}return f(this.leftPoints,e)},i.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?h(this.rightPoints,t,r):f(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new a(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":435}],435:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],436:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],437:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],438:[function(t,e,r){e.exports=!0},{}],439:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
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-       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
-       " * @license  MIT\n",
-       " */\n",
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n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,a,i,o;for(void 0===e&&(e=1e-6),a=t,o=0;o<8;o++){if(i=this.sampleCurveX(a)-t,Math.abs(i)<e)return a;var s=this.sampleCurveDerivativeX(a);if(Math.abs(s)<1e-6)break;a-=i/s}if((a=t)<(r=0))return r;if(a>(n=1))return n;for(;r<n;){if(i=this.sampleCurveX(a),Math.abs(i-t)<e)return a;t>i?r=a:n=a,a=.5*(n-r)+r}return a},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=i;function i(t,e){this.x=t,this.y=e}function o(t,e,n,a){var i=new r(t,e,n,a);return function(t){return 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[2]*this.x+t[3]*this.y;return this.x=t[0]*this.x+t[1]*this.y,this.y=e,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=r*this.x+e*this.y;return this.x=e*this.x-r*this.y,this.y=n,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r=e.parse(t[1],1,Dt);if(!r)return null;var n=[],a=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(a=e.expectedType);for(var i=1;i<t.length;i+=2){var o=1===i?-1/0:t[i],s=t[i+1],l=i,c=i+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,a);if(!u)return null;a=a||u.type,n.push([o,u])}return new je(a,r,n)},je.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var a=e.length;return n>=e[a-1]?r[a-1].evaluate(t):r[Ne(e,n)].evaluate(t)},je.prototype.eachChild=function(t){t(this.input);for(var 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e=Xe(t.r),r=Xe(t.g),n=Xe(t.b),a=Ye((.4124564*e+.3575761*r+.1804375*n)/.95047),i=Ye((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*i-16,a:500*(a-i),b:200*(i-Ye((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function Ke(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*We(e),r=.95047*We(r),n=1.08883*We(n),new Kt(Ze(3.2404542*r-1.5371385*e-.4985314*n),Ze(-.969266*r+1.8760108*e+.041556*n),Ze(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function Qe(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var $e={forward:Je,reverse:Ke,interpolate:function(t,e,r){return{l:Ue(t.l,e.l,r),a:Ue(t.a,e.a,r),b:Ue(t.b,e.b,r),alpha:Ue(t.alpha,e.alpha,r)}}},tr={forward:function(t){var e=Je(t),r=e.l,n=e.a,a=e.b,i=Math.atan2(a,n)*Ge;return{h:i<0?i+360:i,c:Math.sqrt(n*n+a*a),l:r,alpha:t.a}},reverse:function(t){var e=t.h*He,r=t.c;return Ke({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:Qe(t.h,e.h,r),c:Ue(t.c,e.c,r),l:Ue(t.l,e.l,r),alpha:Ue(t.alpha,e.alpha,r)}}},er=Object.freeze({__proto__:null,lab:$e,hcl:tr}),rr=function(t,e,r,n,a){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var i=0,o=a;i<o.length;i+=1){var s=o[i],l=s[1];this.labels.push(s[0]),this.outputs.push(l)}};function nr(t,e,r,n){var a=n-r,i=t-r;return 0===a?0:1===e?i/a:(Math.pow(e,i)-1)/(Math.pow(e,a)-1)}rr.interpolationFactor=function(t,e,n,a){var i=0;if(\"exponential\"===t.name)i=nr(e,t.base,n,a);else if(\"linear\"===t.name)i=nr(e,1,n,a);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;i=new r(o[0],o[1],o[2],o[3]).solve(nr(e,1,n,a))}return i},rr.parse=function(t,e){var r=t[0],n=t[1],a=t[2],i=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(a=e.parse(a,2,Dt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Bt:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<i.length;u+=2){var h=i[u],f=i[u+1],p=u+3,d=u+4;if(\"number\"!=typeof h)return e.error('Input/output pairs for 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i=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[i],e[i+1]),s=r[i].evaluate(t),l=r[i+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ar=function(t,e){this.type=t,this.args=e};ar.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var a=[],i=0,o=t.slice(1);i<o.length;i+=1){var s=e.parse(o[i],1+a.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,a.push(s)}var l=n&&a.some((function(t){return Wt(n,t.type)}));return new ar(l?jt:r,a)},ar.prototype.evaluate=function(t){for(var e,r=null,n=0,a=0,i=this.args;a<i.length&&(n++,(r=i[a].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);a+=1);return r},ar.prototype.eachChild=function(t){this.args.forEach(t)},ar.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ar.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var 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t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Zt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Zt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var a=e.parse(t[3],3,Dt);return a?new lr(r,n,a):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Xt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ae(e))+\" instead.\");if(!Xt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ae(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,a,i){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=a,this.otherwise=i};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var a={},i=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(var u=0,h=s;u<h.length;u+=1){var f=h[u];if(\"number\"!=typeof f&&\"string\"!=typeof f)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof f&&Math.abs(f)>Number.MAX_SAFE_INTEGER)return c.error(\"Branch labels must be integers no larger than \"+Number.MAX_SAFE_INTEGER+\".\");if(\"number\"==typeof f&&Math.floor(f)!==f)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(f)))return null}else r=ae(f);if(void 0!==a[String(f)])return c.error(\"Branch labels must be unique.\");a[String(f)]=i.length}var p=e.parse(l,o,n);if(!p)return null;n=n||p.type,i.push(p)}var d=e.parse(t[1],1,jt);if(!d)return null;var g=e.parse(t[t.length-1],t.length-1,n);return g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new cr(r,n,d,a,i,g):null},cr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},a=0,i=Object.keys(this.cases).sort();a<i.length;a+=1){var o=i[a];void 0===(h=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[h][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],h=u[0],f=u[1];e.push(1===f.length?s(f[0]):f.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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hr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function fr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function a(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return a.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],i=e.parse(t[1],1,jt);if(!i)return null;if(!fr(r,i.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(i.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!fr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,a,i)},Gr.prototype.evaluate=function(t,e,r,n,a,i){return this._styleExpression.evaluate(t,e,r,n,a,i)},Gr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?rr.interpolationFactor(this.interpolationType,t,e,r):0};var Wr=function(t,e){this._parameters=t,this._specification=e,Ct(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||!(s||void 0!==e.property),c=e.type||(Ir(r)?\"exponential\":\"interval\");if(o&&((e=Ct({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],Kt.parse(t[1])]}))),e.default=Kt.parse(e.default?e.default:r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!er[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===c)n=Nr;else if(\"interval\"===c)n=Br;else if(\"categorical\"===c){n=Fr,a=Object.create(null);for(var u=0,h=e.stops;u<h.length;u+=1){var f=h[u];a[f[0]]=f[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?Rr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Zr(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=zr(r);if(\"object\"!==l)return[new St(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=bn;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new St(e,r[c],'unknown property \"'+c+'\"'));continue}f=bn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new St(e,r,'missing required property \"'+p+'\"'));return s}function Xr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||bn;if(\"array\"!==zr(e))return[new St(i,e,\"array expected, \"+zr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new St(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new St(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===zr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Jr(t){var e=t.key,r=t.value,n=t.valueSpec,a=zr(r);return\"number\"===a&&r!=r&&(a=\"NaN\"),\"number\"!==a?[new St(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new St(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new St(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Kr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===zr(t.value.stops)&&\"array\"===zr(t.value.stops[0])&&\"object\"===zr(t.value.stops[0][0]),u=Zr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new St(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Xr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===zr(r)&&0===r.length&&e.push(new St(t.key,r,\"array must have at least one stop\")),e},default:function(t){return bn({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new St(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new St(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!Ir(t.valueSpec)&&u.push(new St(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Lr(t.valueSpec)?u.push(new St(t.key,t.value,\"property functions not supported\")):s&&!Pr(t.valueSpec)&&u.push(new St(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new St(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==zr(i))return[new St(s,i,\"array expected, \"+zr(i)+\" found\")];if(2!==i.length)return[new St(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==zr(i[0]))return[new St(s,i,\"object expected, \"+zr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new St(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new St(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new St(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Zr({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return Vr(Pt(i[1]))?e.concat([new St(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return Lr(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(Pt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!De(r))return[new St(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Re(r,[\"zoom\",\"feature-state\"]))return[new St(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Oe(r))return[new St(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function $r(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Lt(r))&&a.push(new St(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),a}function tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Wr.deserialize=function(t){return new Wr(t._parameters,t._specification)},Wr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(Pt(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var a,i=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:i.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(a=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));for(var s=2;s<r.length;s++)a=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:i.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==a&&\"number\"!==a&&\"boolean\"!==a&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+a+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"));break;case\"within\":a=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==a&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+a+\" found\"))}return o}(t)}function hn(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,i,'unknown property \"'+o+'\"')];if(\"string\"===zr(i)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new St(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new St(r,i,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(Pt(i))&&\"identity\"===Lt(i.type)&&h.push(new St(r,i,'\"text-font\" does not support identity functions'))),h.concat(bn({key:t.key,value:i,valueSpec:u,style:n,styleSpec:a,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function fn(t){return hn(t,\"paint\")}function pn(t){return hn(t,\"layout\")}function dn(t){var e=[],r=t.value,n=t.key,a=t.style,i=t.styleSpec;r.type||r.ref||e.push(new St(n,r,'either \"type\" or \"ref\" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=a.layers[u];Lt(h.id)===c&&e.push(new St(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new St(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),a.layers.forEach((function(t){Lt(t.id)===l&&(o=t)})),o?o.ref?e.push(new St(n,r.ref,\"ref cannot reference another ref layer\")):s=Lt(o.type):e.push(new St(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=a.sources&&a.sources[r.source],p=f&&Lt(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Zr({key:n,value:r,valueSpec:i.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:i.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Zr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return fn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var a in r)n.push.apply(n,gn({key:e+\".\"+a,value:r[a]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,a=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var i,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Zr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(i=Zr({key:r,value:e,valueSpec:n.source_geojson,style:a,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;i.push.apply(i,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),i.push.apply(i,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return i;case\"video\":return Zr({key:r,value:e,valueSpec:n.source_video,style:a,styleSpec:n});case\"image\":return Zr({key:r,value:e,valueSpec:n.source_image,style:a,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},aa.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ia=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ia.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ia.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oa=function(t){this.property=t,this.value=new ia(t,void 0)};oa.prototype.transitioned=function(t,e){return new la(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oa.prototype.untransitioned=function(){return new la(this.property,this.value,null,{},0)};var sa=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};sa.prototype.getValue=function(t){return x(this._values[t].value.value)},sa.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].value=new ia(this._values[t].property,null===e?void 0:x(e))},sa.prototype.getTransition=function(t){return x(this._values[t].transition)},sa.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oa(this._values[t].property)),this._values[t].transition=x(e)||void 0},sa.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a);var i=this.getTransition(n);void 0!==i&&(t[n+\"-transition\"]=i)}return t},sa.prototype.transitioned=function(t,e){for(var r=new ca(this._properties),n=0,a=Object.keys(this._values);n<a.length;n+=1){var i=a[n];r._values[i]=this._values[i].transitioned(t,e._values[i])}return r},sa.prototype.untransitioned=function(){for(var t=new ca(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var la=function(t,e,r,n,a){this.property=t,this.value=e,this.begin=a+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};la.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,a=this.value.possiblyEvaluate(t,e,r),i=this.prior;if(i){if(n>this.end)return this.prior=null,a;if(this.value.isDataDriven())return this.prior=null,a;if(n<this.begin)return i.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(i.possiblyEvaluate(t,e,r),a,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return a};var ca=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ca.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ca.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ua=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ua.prototype.getValue=function(t){return x(this._values[t].value)},ua.prototype.setValue=function(t,e){this._values[t]=new ia(this._values[t].property,null===e?void 0:x(e))},ua.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a)}return t},ua.prototype.possiblyEvaluate=function(t,e,r){for(var n=new fa(this._properties),a=0,i=Object.keys(this._values);a<i.length;a+=1){var o=i[a];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var ha=function(t,e,r){this.property=t,this.value=e,this.parameters=r};ha.prototype.isConstant=function(){return\"constant\"===this.value.kind},ha.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},ha.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var fa=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};fa.prototype.get=function(t){return this._values[t]};var pa=function(t){this.specification=t};pa.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pa.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var da=function(t,e){this.specification=t,this.overrides=e};da.prototype.possiblyEvaluate=function(t,e,r,n){return new ha(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},da.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new ha(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new ha(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},da.prototype.evaluate=function(t,e,r,n,a,i){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,a,i)};var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new ha(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n),i=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof a?a.name:a,o=this._calculate(i,i,i,e);return new ha(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new ha(this,{kind:\"constant\",value:s},e)}return new ha(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,a,i){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,a,i);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(da),ma=function(t){this.specification=t};ma.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var a=t.expression.evaluate(e,null,{},r,n);return this._calculate(a,a,a,e)}return this._calculate(t.expression.evaluate(new aa(Math.floor(e.zoom-1),e)),t.expression.evaluate(new aa(Math.floor(e.zoom),e)),t.expression.evaluate(new aa(Math.floor(e.zoom+1),e)),e)}},ma.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},ma.prototype.interpolate=function(t){return t};var va=function(t){this.specification=t};va.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},va.prototype.interpolate=function(){return!1};var ya=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new ia(r,void 0),a=this.defaultTransitionablePropertyValues[e]=new oa(r);this.defaultTransitioningPropertyValues[e]=a.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",da),Dn(\"DataConstantProperty\",pa),Dn(\"CrossFadedDataDrivenProperty\",ga),Dn(\"CrossFadedProperty\",ma),Dn(\"ColorRampProperty\",va);var xa=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ua(r.layout)),r.paint)){for(var n in this._transitionablePaint=new sa(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var a in e.layout)this.setLayoutProperty(a,e.layout[a],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new fa(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],i=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||i||a||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof ha&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),ba={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_a=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wa=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var a=ba[t.type].BYTES_PER_ELEMENT,i=r=ka(r,Math.max(e,a)),o=t.components||1;return n=Math.max(n,a),r+=a*o,{name:t.name,type:t.type,components:o,offset:i}})),size:ka(r,Math.max(n,e)),alignment:e}}function ka(t,e){return Math.ceil(t/e)*e}wa.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wa.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wa.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wa.prototype.clear=function(){this.length=0},wa.prototype.resize=function(t){this.reserve(t),this.length=t},wa.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wa.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(wa);Ma.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Ma);var Aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,this.int16[i+3]=a,t},e}(wa);Aa.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Aa);var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(wa);Sa.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=a,this.uint8[l+6]=i,this.uint8[l+7]=o,t},e}(wa);Ea.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ea);var Ca=function(t){function e(){t.apply(this,arguments)}return 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Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,a,i,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=a,this.uint16[p+4]=i,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(wa);La.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",La);var Pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return 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this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=a,this.uint32[x+2]=i,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wa);Ba.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Ba);var Na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=a,this.int16[C+4]=i,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wa);Na.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Na);var ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wa);ja.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ja);var Ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(wa);Ua.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ua);var Va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=4*t;return this.uint32[2*t+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(wa);Va.prototype.bytesPerElement=8,Dn(\"StructArrayLayout1ul2ui8\",Va);var qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(wa);qa.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2ui4\",qa);var Ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint16[1*t+0]=e,t},e}(wa);Ha.prototype.bytesPerElement=2,Dn(\"StructArrayLayout1ui2\",Ha);var Ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(wa);Ga.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2f8\",Ga);var Ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(wa);Ya.prototype.bytesPerElement=16,Dn(\"StructArrayLayout4f16\",Ya);var Wa=function(t){function 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this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(_a);Wa.prototype.size=20;var Za=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Wa(this,t)},e}(za);Dn(\"CollisionBoxArray\",Za);var Xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var 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this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(_a);Xa.prototype.size=48;var Ja=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Xa(this,t)},e}(Ba);Dn(\"PlacedSymbolArray\",Ja);var Ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(_a);Ka.prototype.size=68;var Qa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.get=function(t){return new Ka(this,t)},e}(Na);Dn(\"SymbolInstanceArray\",Qa);var $a=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getoffsetX=function(t){return 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e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var fi=Math.pow(2,53)-1;function pi(t){var e=+t;return!isNaN(e)&&e<=fi?e:ci(String(t))}function di(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Dn(\"FeaturePositionMap\",hi);var gi=function(t,e){this.gl=t.gl,this.location=e},mi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(gi),vi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(gi),yi=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return 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Mi=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};Mi.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Mi.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new _i(t,e):new vi(t,e)};var Ai=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ai.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ai.prototype.setUniform=function(t,e,r,n){var a=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;a&&t.set(a)},Ai.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new bi(t,e):new vi(t,e)};var Si=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};Si.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.paintVertexArray.length,o=this.expression.evaluate(new aa(0),e,{},n,[],a);this.paintVertexArray.resize(t),this._setPaintValue(i,t,o)},Si.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,a)},Si.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=ki(r),a=t;a<e;a++)this.paintVertexArray.emplace(a,n[0],n[1]);else{for(var i=t;i<e;i++)this.paintVertexArray.emplace(i,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Si.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Si.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ei=function(t,e,r,n,a,i){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=a,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new i};Ei.prototype.populatePaintArray=function(t,e,r,n,a){var i=this.expression.evaluate(new aa(this.zoom),e,{},n,[],a),o=this.expression.evaluate(new aa(this.zoom+1),e,{},n,[],a),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,i,o)},Ei.prototype.updatePaintArray=function(t,e,r,n){var a=this.expression.evaluate({zoom:this.zoom},r,n),i=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,a,i)},Ei.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var a=ki(r),i=ki(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,a[0],a[1],i[0],i[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ei.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ei.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ei.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ei.prototype.getBinding=function(t,e,r){return new vi(t,e)};var Ci=function(t,e,r,n,a,i){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=i,this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};Ci.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Ci.prototype.updatePaintArray=function(t,e,r,n,a){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],a)},Ci.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var a=n[r.min],i=n[r.mid],o=n[r.max];if(a&&i&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],a.tl[0],a.tl[1],a.br[0],a.br[1],i.pixelRatio,a.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,i.tl[0],i.tl[1],i.br[0],i.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],i.pixelRatio,o.pixelRatio)}},Ci.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oi.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oi.members,this.expression.isStateDependent))},Ci.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var Li=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof ha&&Lr(o.property.specification)){var s=Ii(i,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,h=o.property.specification[\"property-type\"],f=\"cross-faded\"===h||\"cross-faded-data-driven\"===h;if(\"constant\"===l.kind)this.binders[i]=f?new Ai(l.value,s):new Mi(l.value,s,c),a.push(\"/u_\"+i);else if(\"source\"===l.kind||f){var p=zi(i,c,\"source\");this.binders[i]=f?new Ci(l,c,u,e,p,t.id):new Si(l,s,c,p),a.push(\"/a_\"+i)}else{var d=zi(i,c,\"composite\");this.binders[i]=new Ei(l,s,c,u,e,d),a.push(\"/z_\"+i)}}}this.cacheKey=a.sort().join(\"\")};Li.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Si||e instanceof Ei?e.maxValue:0},Li.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders){var o=this.binders[i];(o instanceof Si||o instanceof Ei||o instanceof Ci)&&o.populatePaintArray(t,e,r,n,a)}},Li.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ai&&n.setConstantPatternPositions(t,e)}},Li.prototype.updatePaintArrays=function(t,e,r,n,a){var i=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof Si||f instanceof Ei||f instanceof Ci)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],a),i=!0}}}return i},Li.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Mi||r instanceof Ai)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},Li.prototype.getPaintVertexBuffers=function(){return this._buffers},Li.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var a=this.binders[n];if(a instanceof Mi||a instanceof Ai||a instanceof Ei)for(var i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},Li.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},Li.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ci){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Si||r instanceof Ei)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},Li.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Si||r instanceof Ei||r instanceof Ci)&&r.upload(t)}this.updatePaintBuffers()},Li.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Si||e instanceof Ei||e instanceof Ci)&&e.destroy()}};var Pi=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=new Li(o,r,n,t)}this.needsUpload=!1,this._featureMap=new hi,this._bufferOffset=0};function Ii(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function zi(t,e,r){var n={color:{source:Ga,composite:Ya},number:{source:ja,composite:Ga}},a=function(t){return{\"line-pattern\":{source:Ca,composite:Ca},\"fill-pattern\":{source:Ca,composite:Ca},\"fill-extrusion-pattern\":{source:Ca,composite:Ca}}[t]}(t);return a&&a[r]||n[e][r]}Pi.prototype.populatePaintArrays=function(t,e,r,n,a,i){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,a,i);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Pi.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Pi.prototype.get=function(t){return this.programConfigurations[t]},Pi.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Pi.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Mi),Dn(\"CrossFadedConstantBinder\",Ai),Dn(\"SourceExpressionBinder\",Si),Dn(\"CrossFadedCompositeBinder\",Ci),Dn(\"CompositeExpressionBinder\",Ei),Dn(\"ProgramConfiguration\",Li,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Pi);var Oi={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Di(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var a=r[n],i=0;i<a.length;i++){var o=a[i];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oi.min||o.x>Oi.max||o.y<Oi.min||o.y>Oi.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oi.min,Oi.max),o.y=l(o.y,Oi.min,Oi.max))}return r}function Ri(t,e,r,n,a){t.emplaceBack(2*e+(n+1)/2,2*r+(a+1)/2)}var Fi=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ma,this.indexArray=new Fa,this.segments=new ai,this.programConfigurations=new Pi(ni,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Bi(t,e){for(var r=0;r<t.length;r++)if(Wi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wi(t,e[n]))return!0;return!!Vi(t,e)}function Ni(t,e,r){return!!Wi(t,e)||!!Hi(e,t,r)}function ji(t,e){if(1===t.length)return Yi(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(Wi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(Yi(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(Vi(t,e[o]))return!0;return!1}function Ui(t,e,r){if(t.length>1){if(Vi(t,e))return!0;for(var n=0;n<e.length;n++)if(Hi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(Hi(t[a],e,r))return!0;return!1}function Vi(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(qi(n,a,e[i],e[i+1]))return!0;return!1}function qi(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Hi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(Gi(t,e[a-1],e[a])<n)return!0;return!1}function Gi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(a<0?e:a>1?r:r.sub(e)._mult(a)._add(e))}function Yi(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(a=r[l]).y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function Wi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function Zi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=w(t,e,r[0]);return i!==w(t,e,r[1])||i!==w(t,e,r[2])||i!==w(t,e,r[3])}function Xi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ji(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ki(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fi.prototype.populate=function(t,e,r){var n=this.layers[0],a=[],i=null;\"circle\"===n.type&&(i=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,h=l.index,f=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Di(c):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),d,r)){p||(d.geometry=Di(c));var g=i?i.evaluate(d,{},r):void 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0===this.layoutVertexArray.length},Fi.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fi.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ni),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fi.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fi.prototype.addFeature=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1)for(var o=0,s=i[a];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var 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i=co({},{width:n,height:a},r);ho(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function ho(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}Dn(\"HeatmapBucket\",lo,{omit:[\"layers\"]});var fo=function(t,e){co(this,t,1,e)};fo.prototype.resize=function(t){uo(this,t,1)},fo.prototype.clone=function(){return new fo({width:this.width,height:this.height},new Uint8Array(this.data))},fo.copy=function(t,e,r,n,a){ho(t,e,r,n,a,1)};var 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po({width:256,height:1},r)}var vo=function(t){function e(e){t.call(this,e,go),this._updateColorRamp()}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new lo(t)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"heatmap-color\"===t&&this._updateColorRamp()},e.prototype._updateColorRamp=function(){this.colorRamp=mo(this._transitionablePaint._values[\"heatmap-color\"].value.expression,\"heatmapDensity\"),this.colorRampTexture=null},e.prototype.resize=function(){this.heatmapFbo&&(this.heatmapFbo.destroy(),this.heatmapFbo=null)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype.hasOffscreenPass=function(){return 0!==this.paint.get(\"heatmap-opacity\")&&\"none\"!==this.visibility},e}(xa),yo={paint:new ya({\"hillshade-illumination-direction\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=us(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var hs=fs;function fs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new hs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}fs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:hs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,a*vs*2,i*vs*2,Math.round(s))}var xs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Sa,this.indexArray=new Fa,this.programConfigurations=new Pi(os,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.feature,s=i.id,l=i.index,c=i.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h={type:o.type,id:s,properties:o.properties,geometry:u?Di(o):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:Di(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(f.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.features;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,a){for(var i=0,o=Qo(e,500);i<o.length;i+=1){for(var s=o[i],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((I=d).every((function(t){return t.x<0}))||I.every((function(t){return t.x>8192}))||I.every((function(t){return t.y<0}))||I.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){h.vertexLength+4>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=h.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>ai.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=h.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=_o(w,T),P=0;P<L.length;P+=3)this.indexArray.emplaceBack(k+L[P],k+L[P+2],k+L[P+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var I;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Dn(\"FillExtrusionBucket\",xs,{omit:[\"layers\",\"features\"]});var _s={paint:new ya({\"fill-extrusion-opacity\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ga(At[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new da(At[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new pa(At[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},ws=function(t){function e(e){t.call(this,e,_s)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.createBucket=function(t){return new xs(t)},e.prototype.queryRadius=function(){return Ji(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=Ki(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];io(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=[],y=[],x=0,b=m[g];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],M=n[1]*w+n[5]*T+n[13],A=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=A+c,C=S+u,L=k+h,P=M+f,I=A+p,z=S+d,O=new a((k+s)/C,(M+l)/C);O.z=E/C,v.push(O);var D=new a(L/z,P/z);D.z=I/z,y.push(D)}i.push(v),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ji(r,e)&&(n=ks(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=[l,i[s+1],o[s+1],o[s],l];Bi(r,c)&&(n=Math.min(n,ks(r,c)))}return n!==1/0&&n}(p[0],p[1],f)},e}(xa);function Ts(t,e){return t.x*e.x+t.y*e.y}function ks(t,e){if(1===t.length){for(var r,n=0,a=e[n++];!r||a.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var i=e[n],o=t[0],s=r.sub(a),l=i.sub(a),c=o.sub(a),u=Ts(s,s),h=Ts(s,l),f=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*f-h*h,m=(f*p-h*d)/g,v=(u*d-h*p)/g,y=a.z*(1-m-v)+r.z*m+i.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ea,this.indexArray=new Fa,this.programConfigurations=new Pi(Ms,t.layers,t.zoom),this.segments=new ai,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Cs.prototype.populate=function(t,e,r){this.hasPattern=ts(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),a=[],i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:f?Di(l):[]};if(this.layers[0]._featureFilter.filter(new aa(this.zoom),p,r)){f||(p.geometry=Di(l));var d=n?n.evaluate(p,{},r):void 0;a.push({id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:p.geometry,patterns:{},sortKey:d})}}n&&a.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,m=a;g<m.length;g+=1){var v=m[g],y=v.geometry,x=v.index,b=v.sourceLayerIndex;if(this.hasPattern){var _=es(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(_)}else this.addFeature(v,y,x,r,{});e.featureIndex.insert(t[x].feature,y,x,b,this.index)}},Cs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Cs.prototype.addFeatures=function(t,e,r){for(var n=0,a=this.patternFeatures;n<a.length;n+=1){var i=a[n];this.addFeature(i,i.geometry,i.index,e,r)}},Cs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Cs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Cs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ms),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Cs.prototype.addFeature=function(t,e,r,n,a){for(var i=this.layers[0].layout,o=i.get(\"line-join\").evaluate(t,{}),s=i.get(\"line-cap\"),l=i.get(\"line-miter-limit\"),c=i.get(\"line-round-limit\"),u=0,h=e;u<h.length;u+=1)this.addLine(h[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,a,n)},Cs.prototype.addLine=function(t,e,r,n,a,i){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(a=1.05);var u,h=this.overscaling<=16?122880/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(m=t[c].sub(u=t[l-2])._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Ss&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var M=u.dist(p);if(M>2*h){var A=u.sub(u.sub(p)._mult(h/M)._round());this.updateDistance(p,A),this.addCurrentVertex(A,g,0,0,f),p=A}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<i?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>a&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<a&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,f);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var C=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,y,0,0,f),this.addCurrentVertex(u,y.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(_*_-1),P=k?L:0,I=k?0:L;if(p&&this.addCurrentVertex(u,g,P,I,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,m,-P,-I,f)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,f),this.addCurrentVertex(u,g,1,1,f,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,f,!0),this.addCurrentVertex(u,m,0,0,f)));if(T&&v<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,f),u=j}}}}},Cs.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,i,!1,r,a),this.addHalfVertex(t,o,s,i,!0,-n,a),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Cs.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),a?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new ya({\"line-cap\":new pa(At.layout_line[\"line-cap\"]),\"line-join\":new da(At.layout_line[\"line-join\"]),\"line-miter-limit\":new pa(At.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new pa(At.layout_line[\"line-round-limit\"]),\"line-sort-key\":new da(At.layout_line[\"line-sort-key\"])}),Ps={paint:new ya({\"line-opacity\":new da(At.paint_line[\"line-opacity\"]),\"line-color\":new da(At.paint_line[\"line-color\"]),\"line-translate\":new pa(At.paint_line[\"line-translate\"]),\"line-translate-anchor\":new pa(At.paint_line[\"line-translate-anchor\"]),\"line-width\":new da(At.paint_line[\"line-width\"]),\"line-gap-width\":new da(At.paint_line[\"line-gap-width\"]),\"line-offset\":new da(At.paint_line[\"line-offset\"]),\"line-blur\":new da(At.paint_line[\"line-blur\"]),\"line-dasharray\":new ma(At.paint_line[\"line-dasharray\"]),\"line-pattern\":new ga(At.paint_line[\"line-pattern\"]),\"line-gradient\":new va(At.paint_line[\"line-gradient\"])}),layout:Ls},Is=new(function(t){function 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Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),ol(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),ol(this.buf,-1&t,this.pos),ol(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,r.buf[r.pos]=127&(t>>>=7)}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Xs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Xs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,al,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var fl=function(t,e){var r=e.pixelRatio,n=e.version,a=e.stretchX,i=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=a,this.stretchY=i,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(fl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=hl(a),o=new po({width:i.w||1,height:i.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var h=e[u],f=n[u].paddedRect,p=f.x+1,d=f.y+1,g=h.data.width,m=h.data.height;po.copy(h.data,o,{x:0,y:0},{x:p,y:d},h.data),po.copy(h.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(h.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(h.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(h.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new fl(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",fl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=vl.fromFeature(t,a);h===gl.vertical&&v.verticalizePunctuation();var y=na.processBidirectionalText,x=na.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,i,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,i,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(v,Ml(v,c,i,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=a;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,P=null,I=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/h,L=w+(24-F[1]*S.scale),O=(P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)I=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;P=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),f+=P.advance*S.scale+c)}0!==k.length&&(d=Math.max(f-c,d),Sl(k,0,k.length-1,m,M)),f=0;var q=i*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=i,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,Z=Y.verticalAlign;(function(t,e,r,n,a,i,o,s,l){var c,u=(e-r)*a;c=i!==o?-s*n- -17:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,Z,d,g,i,G,a.length),t.top+=-Z*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,h,c,f,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var a=t.sections[n];a.image?r.addImageSection(a):r.addTextSection(a,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||a&&Gn(a)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,a,i){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/i+a:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+a:0}function wl(t,e,r,n){var a=Math.pow(t-e,2);return n?t<e?a/2:2*a:a+Math.abs(r)*r}function Tl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function kl(t,e,r,n,a,i){for(var o=null,s=wl(e,r,a,i),l=0,c=n;l<c.length;l+=1){var u=c[l],h=wl(e-u.x,r,a,i)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,a,i,o){if(\"point\"!==i)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,a,i){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,a,e,i)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,a,o),u=t.text.indexOf(\"\\u200b\")>=0,h=0,f=0;f<t.length();f++){var p=t.getSection(f),d=t.getCharCode(f);if(xl[d]||(h+=_l(d,p,n,a,e,o)),f<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,h,f,p,d=e.left*i,g=e.right*i;\"width\"===r||\"both\"===r?(p=a[0]+d-n[3],h=a[0]+g+n[1]):h=(p=a[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*i,v=e.bottom*i;return\"height\"===r||\"both\"===r?(u=a[1]+m-n[0],f=a[1]+v+n[2]):f=(u=a[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:h,bottom:f,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,a){t.call(this,e,r),this.angle=n,void 0!==a&&(this.segment=a)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);function Ll(t,e){var 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Fa,this.programConfigurations=t,this.segments=new ai,this.dynamicLayoutVertexArray=new Pa,this.opacityVertexArray=new Ia,this.placedSymbolArray=new Ja};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ic,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ai,this.collisionVertexArray=new Ra};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey)&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Pi(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $a,this.lineVertexArray=new ti,this.symbolInstances=new Qa},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=Us[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],a=n.layout,i=a.get(\"text-font\"),o=a.get(\"text-field\"),s=a.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==i.value.kind||i.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=a.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new aa(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Di(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Di(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ea()||this.hasRTLText&&na.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Di(y),properties:y.properties,type:ac[y.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var P=i.evaluate(T,{},r).join(\",\"),I=\"map\"===a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||P,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,i.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=i.text&&i.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,P,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,P,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,P,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,P,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,i,i.index,{},h,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var a=t;a<e;a++){var i=this.collisionBoxArray.get(a);this.addCollisionDebugVertices(i.x1,i.y1,i.x2,i.y2,n?this.textCollisionBox:this.iconCollisionBox,i.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oa,Bs.members,qa),this.iconCollisionBox=new uc(Oa,Bs.members,qa);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<a;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=i;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,a=r.vertexStartIndex;a<n;a+=4)t.indexArray.emplaceBack(a,a+1,a+2),t.indexArray.emplaceBack(a+1,a+2,a+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort((function(t,e){return n[t]-n[e]||a[e]-a[t]})),i},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=this.symbolInstances.get(n[r]);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=sc;var fc=new ya({\"symbol-placement\":new pa(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pa(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pa(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new da(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pa(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pa(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pa(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pa(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pa(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new da(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pa(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pa(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new da(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new da(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pa(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pa(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new da(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new da(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pa(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pa(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pa(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new da(At.layout_symbol[\"text-field\"]),\"text-font\":new da(At.layout_symbol[\"text-font\"]),\"text-size\":new da(At.layout_symbol[\"text-size\"]),\"text-max-width\":new da(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pa(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new da(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new da(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new da(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pa(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new da(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pa(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pa(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new da(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pa(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pa(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new da(At.layout_symbol[\"text-transform\"]),\"text-offset\":new da(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pa(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pa(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pa(At.layout_symbol[\"text-optional\"])}),pc={paint:new ya({\"icon-opacity\":new da(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new da(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new da(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new da(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new da(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pa(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pa(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new da(At.paint_symbol[\"text-opacity\"]),\"text-color\":new da(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new da(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new da(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new da(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pa(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pa(At.paint_symbol[\"text-translate-anchor\"])}),layout:fc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var a=[],i=0,o=n;i<o.length;i+=1){var s=o[i];a.indexOf(s)<0&&a.push(s)}this.layout._values[\"text-writing-mode\"]=a}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var a=this.layout.get(t).evaluate(e,{},r,n),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Vr(i.value)||!a?a:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,a)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new dc(i),s=new Ur(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new ha(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=pc.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(a=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){a||(t instanceof oe&&ae(t.value)===Vt?i(t.value.sections):t instanceof ue?i(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e}(xa),mc={paint:new ya({\"background-color\":new pa(At.paint_background[\"background-color\"]),\"background-pattern\":new ma(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pa(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),yc={paint:new ya({\"raster-opacity\":new pa(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pa(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pa(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pa(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pa(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pa(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pa(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pa(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xa),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(xa),_c={circle:oo,heatmap:vo,hillshade:xo,fill:is,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ec.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,a){var i=this;void 0===a&&(a=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:a,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete i.callbacks[o],i.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:i.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(e.data)))}else{var a=!1,i=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){a=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,i)},i)}:function(t){a=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!a&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Ic?new Ic(t.lng,t.lat):Ic.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Ic)e=t,r=t;else{if(!(t instanceof Pc))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Pc.convert(t)):this.extend(Ic.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Ic(e.lng,e.lat),this._ne=new Ic(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Ic((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Ic(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Ic(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Ic.convert(t),r=e.lng,n=e.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&a},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Ic.prototype.wrap=function(){return new Ic(c(this.lng,-180,180),this.lat)},Ic.prototype.toArray=function(){return[this.lng,this.lat]},Ic.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ic.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,a=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(a,1))},Ic.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Pc(new Ic(this.lng-r,this.lat-e),new Ic(this.lng+r,this.lat+e))},Ic.convert=function(t){if(t instanceof Ic)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ic(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ic(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ic.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Ic(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,a,i,o,s=(n=this.y,a=this.z,i=Lc(256*(r=this.x),256*(n=Math.pow(2,a)-n-1),a),o=Lc(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+a),this.key=qc(e,t,r,n,a)};function qc(t,e,r,n,a){(t*=2)<0&&(t=-1*t-1);var i=1<<r;return(i*i*t+i*a+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var a=0;a<n;a++)this.data[this._idx(-1,a)]=this.data[this._idx(0,a)],this.data[this._idx(n,a)]=this.data[this._idx(n-1,a)],this.data[this._idx(a,-1)]=this.data[this._idx(a,0)],this.data[this._idx(a,n)]=this.data[this._idx(a,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,a){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=a},Wc={geometry:{configurable:!0}};Wc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Wc.geometry.set=function(t){this._geometry=t},Yc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yc.prototype,Wc);var Zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Zc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Zc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var a=this.deletedStates[t][e];if(null===a)return{};for(var i in a)delete n[i]}return n},Zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),u(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var h=0,f=Object.keys(this.deletedStates[o][c]);h<f.length;h+=1)delete this.state[o][c][f[h]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Xc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ri,this.promoteId=e};function Jc(t,e,r,n,a){return v(t,(function(t,i){var o=e instanceof fa?e.get(i):null;return o&&o.evaluate?o.evaluate(r,n,a):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Qc(t,e){return e-t}Xc.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Xc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Xc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Kc(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Wi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Zi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<g.length;d+=1)f.push(g[d]);f.sort(Qc);for(var m,v={},y=function(a){var u=f[a];if(u!==m){m=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Di(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<f.length;x++)y(x);return v},Xc.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,h)){var f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(a.filter(new aa(this.tileID.overscaledZ),p))for(var d=this.getId(p,f),g=0;g<h.length;g++){var m=h[g];if(!(i&&i.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Xc.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i,o,s){var l={};this.loadVTLayers();for(var c=rn(a),u=0,h=t;u<h.length;u+=1)this.loadMatchingFeature(l,r,n,h[u],c,i,o,s,e);return l},Xc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},Xc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Xc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=f(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1)r[s[o].id]=t}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var i in this.buckets){var o=this.buckets[i];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,na.isLoading()||na.isLoaded()||\"deferred\"!==ea()||ra();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Za},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:a,scale:i,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),a=e?e.sourceLayer:\"\",i=n._geojsonTileLayer||n[a];if(i)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<i.length;f++){var p=i.feature(f);if(o.filter(new aa(this.tileID.overscaledZ),p)){var d=r.getId(p,a),g=new Yc(p,l,c,u,d);g.tile=h,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];if(o&&s&&0!==Object.keys(s).length){a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(a)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1)r[a[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var a=this.dependencies[n[r]];if(a)for(var i=0,o=e;i<o.length;i+=1)if(a[o[i]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=fo,t.CanonicalTileID=jc,t.CollisionBoxArray=Za,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pa,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=aa,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Xc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=fl,t.LineBucket=Cs,t.LngLat=Ic,t.LngLatBounds=Pc,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=a,t.Point$1=a,t.Properties=ya,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ft,t.SegmentVector=ai,t.SourceFeatureState=Zc,t.StructArrayLayout1ui2=Ha,t.StructArrayLayout2f1f2i16=Da,t.StructArrayLayout2i4=Ma,t.StructArrayLayout3ui6=Fa,t.StructArrayLayout4i8=Aa,t.SymbolBucket=hc,t.Texture=Sc,t.Tile=$c,t.Transitionable=sa,t.Uniform1f=vi,t.Uniform1i=mi,t.Uniform2f=yi,t.Uniform3f=xi,t.Uniform4f=bi,t.UniformColor=_i,t.UniformMatrix4f=Ti,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,a=new Array(t.length),i=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(i=t),a[o]=e,0==--n&&r(i,a)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",it),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return 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r}function ht(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ft(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(pt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function pt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function dt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function gt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=rt(t,1,-1-r,r,0,-1,2,e),i=rt(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=ut(a,1).concat(n)),i&&(n=n.concat(ut(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new g(n.features),i=b(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[a+1]=new D(s,G,Y,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(V(r),q(i),V(a),q(n));u<h.length;u+=1){var f=l.points[h[u]];c.push(f.numPoints?j(f):this.points[f.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=a.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.radius/i.extent,s=(r-o)/a,l=(r+1+o)/a,c={features:[]};return this._addTileFeatures(n.range((e-o)/a,s,(e+1+o)/a,l),n.points,e,r,a,c),0===e&&this._addTileFeatures(n.range(1-o/a,s,1,l),n.points,a,r,a,c),e===a-1&&this._addTileFeatures(n.range(0,s,o/a,l),n.points,-1,r,a,c),c.features.length?c:null},F.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},F.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},F.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:c?U(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),i.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.reduce,i=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,i),u=s.numPoints||1,h=s.x*u,f=s.y*u,p=a&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;h+=v.x*y,f+=v.y*y,u+=y,v.parentId=d,a&&(p||(p=this._map(s,!0)),a(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(h/u,f/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=yt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,f.minX,f.maxX,l),b=rt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,f.minY,f.maxY,l),m=rt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,f.minY,f.maxY,l),y=rt(b,u,n+w,n+k,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ft(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[yt(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ft(this.tiles[s],a):null):null};var bt=function(e){function r(t,r,n,a){e.call(this,t,r,n,xt),a&&(this.loadGeoJSON=a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){var n,a=e&&e.type;if(\"FeatureCollection\"===a)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===a)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===a)t(e.geometry,r);else if(\"Polygon\"===a)h(e.coordinates,r);else if(\"MultiPolygon\"===a)for(n=0;n<e.coordinates.length;n++)h(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=t.createExpression(f[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=d.value,i[h]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded;return n&&n[t.uid]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var a=this.workerSources[t][n];for(var i in a)a[i].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var a=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=a){this.self.importScripts(a);var i=t.plugin.isParsed();n(i?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+a),i)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];if(i[0]<r||i[1]<i[0]||e<i[1])return!1;r=i[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1)this.images[a[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var a={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new t.ImagePosition(a,n);this.patterns[e]={bin:a,position:i}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),a=n.w,i=n.h,o=this.atlasImage;for(var s in o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/this.radius+this.cutoff))));return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1)a.push({stack:i,id:s[o]});t.asyncAll(a,(function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(i.ranges[s])e(null,{stack:r,id:a,glyph:o});else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);i.ranges[s]=!0}for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})}))}}else e(null,{stack:r,id:a,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],a=t.length%2==1?-t[t.length-1]*r:0,i=t[0]*r,o=!0;n.push({left:a,right:i,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:a=s*r,right:i=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,a=-r;a<=r;a++)for(var i=this.width*(this.nextRow+r+a),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),h=Math.min(c,u),f=void 0,p=a/r*(n+1);if(s.isDash){var d=n-Math.abs(p);f=Math.sqrt(h*h+d*d)}else f=n-Math.sqrt(h*h+p*p);this.data[i+l]=Math.max(0,Math.min(255,f+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var a=t[0],i=t[t.length-1];a.isDash===i.isDash&&(a.left=i.left-this.width,i.right=a.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?f:-f)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];if(0!==i){var s=this.width/i,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=new e.Actor(a[i],n,this.id);o.name=\"Worker \"+i,this.actors.push(o)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame((function(){return a(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),(function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function a(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=t.window.ImageBitmap&&i instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?i:t.browser.getImageData(i,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,a.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),L=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,(function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(a,{type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId},(function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=Math.max(a-r,i-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),h=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+a)/2*h),Math.floor((n+i)/2*h))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),z=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(a[n],t.ResourceType.Source).url);t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),O=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var a in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var i=this.tiles[a];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:I,canvas:O};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,a,i){var o=function(t,e,r){if(t)for(var n=0,a=t;n<a.length;n+=1){var i=e[a[n]];if(i&&i.source===r&&\"fill-extrusion\"===i.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(a&&a.layers,e,t.id),s=i.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,a,i,s,R(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,a=t;n<a.length;n+=1){var i=a[n],o=i.queryResults,s=i.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,a=t.wrapped().key;void 0===this.data[a]&&(this.data[a]=[]);var i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((function(){n.remove(t,i)}),r)),this.data[a].push(i),this.order.push(a),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),a=this.data[r][n];return this.data[r].splice(n,1),a.timeout&&clearTimeout(a.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(a.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,a=this.data[r];n<a.length;n+=1){var i=a[n];t(i.value)||e.push(i)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var a=t.gl;this.buffer=a.createBuffer(),t.bindVertexBuffer.set(this.buffer),a.bufferData(a.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?a.DYNAMIC_DRAW:a.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var a=this.attributes[n],i=e.attributes[a.name];void 0!==i&&t.vertexAttribPointer(i,a.components,t[U[a.type]],!1,this.itemSize,a.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),G=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(q),Q=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(q),$=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}},e}(q),et=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),mt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new Z(this),this.stencilMask=new X(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Ct.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))})),this.on(\"error\",(function(){i._sourceErrored=!0})),this._source=function(e,r,n,a){var i=new D[r.type](e,r,n,a);if(i.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+i.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],i),i}(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(a,e)&&n.push(this._tiles[a]);return e?n.sort((function(e,n){var a=e.tileID,i=n.tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var a=t.scaledTo(n),i=this._getLoadedTile(a);if(i)return i}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(a)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var a=this._tiles[n];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+e),r[a.tileID.key]=a}for(var i in this._tiles=r,this._timers)clearTimeout(this._timers[i]),delete this._timers[i];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter((function(t){return n._source.hasTile(t)})))):a=[];var i=e.coveringZoomLevel(this._source),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(It(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,i,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var a=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(a))break;n=a}for(var i=0,o=e;i<o.length;i+=1)this._loadedParentTiles[o[i]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];h=Math.min(h,v.x),f=Math.min(f,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Ya.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Yt(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Wt(t){return t.id}function Zt(t,e){return t[e.id]=e,t}var Xt=function(t,e){this.reset(t,e)};Xt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Xt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],a=e*this.paddedLength+this.padding;n<a&&r<this._distances.length;)n=this._distances[++r];var i=r-1,o=this._distances[i],s=n-o,l=s>0?(a-o)/s:0;return this.points[i].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Qt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,f);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,h)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,i).point,M={},A=ie(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ie(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,f)}else ce(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function ne(t,e,r,n,a,i,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(h-1),m=se(t*d,r,n,a,i,o,s.segment,f,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,a,i,o,s.segment,f,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ie(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(a&&!n){var M=ae(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,h,f,e.segment,b,_,c,o,p));g.push(w.last)}else{if(a&&!n){var S=$t(f,i).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,i),P=L.signedDistanceFromCamera>0?L.point:oe(f,C,S,1,i),I=ae(e.writingMode,S,P,d);if(I)return I}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,a){var i=$t(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function se(e,r,n,a,i,o,s,l,c,u,h,f){var p=a?e-r:e+r,d=p>0?1:-1,g=0;a&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=i,y=i,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,h);if(k.signedDistanceFromCamera>0)v=f[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,h)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Jt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Jt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Jt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Jt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:a,seenUids:{box:{},circle:{}}},i),a?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(i,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},a),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Jt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];i.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var m=this.circleCells[a];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++)if(a.call(this,t,e,r,n,this.xCellCount*p+f,i,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function fe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?i/v:i*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,a,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*f*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Xt,E=b.first,C=b.last,L=[],P=E.path.length-1;P>=1;P--)L.push(E.path[P]);for(var I=1;I<C.path.length;I++)L.push(C.path[I]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,Z=Y-k,X=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,Z,X,J),w=w||this.isInsideGrid(W,Z,X,J),!e&&this.grid.hitTestCircle(G,Y,k,h)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]={}),!h[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(h[m.bucketInstanceId][m.featureIndex]=!0,void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]=[]),f[m.bucketInstanceId].push(m.featureIndex))}}return f},he.prototype.insertCollisionBox=function(t,e,r,n,a){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:a},t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return ue(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,a){this.text=new pe(t?t.text:null,e,r,a),this.icon=new pe(t?t.icon:null,e,n,a)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}function be(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}ye.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}_e.prototype.getBucketParts=function(e,r,n,a){var i=n.getBucket(r),o=n.latestFeatureIndex;if(i&&o&&r.id===i.layerIds[0]){var s=n.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=fe(n,1,this.transform.zoom),g=Kt(h,f,p,this.transform,d),m=null;if(f){var v=Qt(h,f,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[i.bucketInstanceId]=new ve(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,n.tileID);var y={bucket:i,layout:l,posMatrix:h,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(i.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(i.sourceID)};if(a)for(var x=0,b=i.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:i.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,m=[h.textOffset0,h.textOffset1],v=xe(t,r,n,m,a),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,i,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(g=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:a,prevAnchor:g},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var a=this,i=e.parameters,o=i.bucket,s=i.layout,l=i.posMatrix,c=i.textLabelPlaneMatrix,u=i.labelToScreenMatrix,h=i.textPixelRatio,f=i.holdingForFade,p=i.collisionBoxArray,d=i.partiallyEvaluatedTextSize,g=i.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,i){if(!r[e.crossTileID])if(f)a.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},P=null,I=null,z=0,O=0,D=0;i.textFeatureIndex?z=i.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),i.verticalTextFeatureIndex&&(O=i.verticalTextFeatureIndex);var R=i.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&a.prevPlacement){var i=a.prevPlacement.placedOrientations[e.crossTileID];i&&(a.placedOrientations[e.crossTileID]=i,a.markUsedOrientation(o,n=i,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&i.verticalTextBox)for(var a=0,s=o.writingModes;a<s.length&&(s[a]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));a+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(a.prevPlacement&&a.prevPlacement.variableOffsets[e.crossTileID]){var j=a.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=a.attemptAnchorPlacement(N[d%N.length],t,i,s,c,b,_,h,l,g,d>=N.length,e,o,n,u);if(m&&(f=m.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=m.shift;break}}return f};B((function(){return U(R,i.iconBox,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,i.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&a.prevPlacement){var q=a.prevPlacement.variableOffsets[e.crossTileID];q&&(a.variableOffsets[e.crossTileID]=q,a.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=a.collisionIndex.placeCollisionBox(t,y,h,l,g.predicate);return n&&n.box&&n.box.length&&(a.markUsedOrientation(o,r,e),a.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=i.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");P=a.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(i.iconFeatureIndex&&(D=i.iconFeatureIndex),i.iconBox){var Z=function(t){var e=w&&E?be(t,E.x,E.y,b,_,a.transform.angle):t;return a.collisionIndex.placeCollisionBox(e,x,h,l,g.predicate)};A=L&&L.box&&L.box.length&&i.verticalIconBox?(I=Z(i.verticalIconBox)).box.length>0:(I=Z(i.iconBox)).box.length>0,S=S&&I.offscreen}var X=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(X||J?J?X||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&a.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&I&&a.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&a.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=a.collisionCircleArrays[K];void 0===Q&&(Q=a.collisionCircleArrays[K]=new me);for(var $=0;$<P.circles.length;$+=4)Q.circles.push(P.circles[$+0]),Q.circles.push(P.circles[$+1]),Q.circles.push(P.circles[$+2]),Q.circles.push(P.collisionDetected?1:0)}a.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,a){var i;i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=i>=0&&l!==i?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=a;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new de(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var a=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var i=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=i.get(\"text-allow-overlap\"),l=i.get(\"icon-allow-overlap\"),c=i.get(\"text-variable-anchor\"),u=\"map\"===i.get(\"text-rotation-alignment\"),h=\"map\"===i.get(\"text-pitch-alignment\"),f=\"none\"!==i.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||i.get(\"icon-optional\")),l&&(s||!e.hasTextData()||i.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var i=e.symbolInstances.get(n),s=i.numHorizontalGlyphVertices,l=i.numVerticalGlyphVertices,g=i.crossTileID,m=a.opacities[g];r[g]?m=o:m||(a.opacities[g]=m=p),r[g]=!0;var v=i.numIconVertices>0,y=a.placedOrientations[i.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Pe:_),d(e.text,l,b?Pe:_);var w=m.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=a.variableOffsets[i.crossTileID];T&&a.markUsedJustification(e,T.anchor,i,y);var k=a.placedOrientations[i.crossTileID];k&&(a.markUsedJustification(e,\"left\",i,k),a.markUsedOrientation(e,k,i))}if(v){var M=Le(m.icon),A=!(f&&i.verticalPlacedIconSymbolIndex&&x);i.placedIconSymbolIndex>=0&&(d(e.icon,i.numIconVertices,A?M:Pe),e.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=m.icon.isHidden()),i.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,i.numVerticalIconVertices,A?Pe:M),e.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=a.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(h?a.transform.angle:-a.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var P=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,P,f?E.x:0,f?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!P,f?E.x:0,f?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Pe=0,Ie=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Ie.prototype.continuePlacement=function(t,e,r,n,a){for(var i=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(i,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,a())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,i.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<i.length;)if(e.placeLayerBucketPart(i[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,a())return!0;return!1};var ze=function(t,e,r,n,a,i,o){this.placement=new _e(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ie(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1)delete this.usedCrossTileIDs[t][a[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Be.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var a,i=t.styleSpec.$root[n];i.required&&null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}return e}(),qe=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var a=jt(this.stylesheet.layers);this._order=a.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var i=0,o=a;i<o.length;i+=1){var s=o[i];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,a=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,i=e,u())}));function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var a in n)r.imageManager.addImage(a,n[a]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=this._layers[n[r]];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||qt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&Gt(e,r,i)?n.push({command:Ut.setGeoJSONSourceData,args:[i,r[i].data]}):Ht(i,r,n,a)):Vt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach((function(t){a[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Wt),f=r.map(Wt),p=e.reduce(Zt,{}),d=r.reduce(Zt,{}),g=h.slice(),m=Object.create(null);for(a=0,i=0;a<h.length;a++)d.hasOwnProperty(o=h[a])?i++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)g[g.length-1-a]!==(o=f[f.length-1-a])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-a]]}),g.splice(g.length-a,0,o),m[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var a=n.filter((function(t){return!(t.command in je)}));if(a.length>0)throw new Error(\"Unimplemented: \"+a.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,(function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}})),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}}),this._serializedLayers[i.id]=i.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n];if(void 0!==i){var o=i.getSource().type;\"geojson\"===o&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||a?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.setFeatureState(a,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0;\"vector\"!==i||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r];if(void 0!==a){if(\"vector\"!==a.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1)a.push(h[u])}}}a.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var f=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=a.length-1;g>=0;g--){var m=a[g].feature;if(n[m.layer.id]<p)break;f.push(m),a.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)f.push(_[b].feature)}}return f},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];a[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i,o){for(var s={},l=i.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1)c.push(o[h[u]]);c.sort(B);for(var f=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,a.filter,a.layers,a.availableImages,t);for(var i in n){var o=s[i]=s[i]||[],c=n[i];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-a}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1)o.push(h[u])}},p=0,d=c;p<d.length;p+=1)f();var g=function(e){s[e].forEach((function(n){var a=n.feature,i=r[t[e].source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=i}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a,i){void 0===i&&(i=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=this._layers[u[c]];if(\"symbol\"===h.type){if(!l[h.source]){var f=this.sourceCaches[h.source];l[h.source]=f.getRenderableIds(!0).map((function(t){return f.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,i,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ye=vr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),We=vr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=vr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Xe=vr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=vr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Ke=vr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Qe=vr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),$e=vr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),tr=vr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),er=vr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),rr=vr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),nr=vr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ir=vr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),or=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),sr=vr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),lr=vr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),cr=vr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ur=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=vr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),fr=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),pr=vr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),dr=vr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=vr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),mr=vr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function vr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Ze,clippingMask:Xe,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ar,fillExtrusion:ir,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:hr,lineSDF:fr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===a&&this.boundVertexOffset===i&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind()):this.freshBind(e,r,n,a,i,o,s)},xr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r?r.defines():[];a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);if(i.isContextLost())this.failedToCreate=!0;else{i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r?r.layoutAttributes:[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),i.deleteShader(u),i.deleteShader(c),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var m=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=i.getActiveUniform(this.program,v);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/fe(r,1,e.transform.tileZoom),a=Math.pow(2,r.tileID.overscaledZ),i=r.tileSize*Math.pow(2,e.transform.tileZoom)/a,o=i*(r.tileID.canonical.x+r.tileID.wrap*a),s=i*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}br.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},Tr=function(e,r,n,a,i,o,s){return t.extend(wr(e,r,n,a),_r(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,a){return t.extend(kr(e),_r(n,r,a))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,a,i){return t.extend(Mr(e,r,n,a),{u_world:i})},Er=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=fe(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=fe(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},Lr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Pr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Ir=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:fe(e,1,r),u_intensity:n}},Or=function(e,r,n){var a=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/fe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,a){var i=e.transform,o=Br(r,i);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/fe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n,a,i){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(a.from,l),u=o.getDash(a.to,l),h=c.width*i.fromScale,f=u.width*i.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/h,-c.height/2],u_patternscale_b:[s/f,-u.height/2],u_sdfgamma:o.width/(256*Math.min(h,f)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:i.t})};function Br(t,e){return 1/fe(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Ur(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Ur(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Vr,qr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(qr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Gr=function(e,r,n,a,i,o,s,l,c,u){return t.extend(Hr(e,r,n,a,i,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from.toString()),i=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/fe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Zr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Xr(e,r,n,a,i,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<a.length;d++){var g=a[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===i[0]&&0===i[1]||(y=e.translatePosMatrix(g.posMatrix,m,i,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),h.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=f+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var M=0,A=0,S=h;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,P=E.circleArray[L+0],I=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,P,I,z,O,0),k.emplace(M++,P,I,z,O,1),k.emplace(M++,P,I,z,O,2),k.emplace(M++,P,I,z,O,3)}(!Vr||Vr.length<2*f)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var a=0;a<r;a++){var i=6*a;n.uint16[i+0]=4*a+0,n.uint16[i+1]=4*a+1,n.uint16[i+2]=4*a+2,n.uint16[i+3]=4*a+2,n.uint16[i+4]=4*a+3,n.uint16[i+5]=4*a+0}return n}(f));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Qr(e,r,n,a,i,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<f.length;m++){var v=f.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:a[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=i.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);h&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(h){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var P=0;P<C.numGlyphs;P++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,a,i,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=a;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=i?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),P=i||E.sdfIcons,I=i?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(P,i,E),L),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(i)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===I.kind||\"camera\"===I.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=fe(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,i,H,G,v,u);var Z=e.translatePosMatrix(A.posMatrix,S,o,s),X=y||i&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=P&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:P?E.iconsInText?Gr(I.kind,D,x,v,e,Z,X,J,R,F):Hr(I.kind,D,x,v,e,Z,X,J,i,R,!0):qr(I.kind,D,x,v,e,Z,X,J,i,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var at=nt[rt],it=at.state;if(p.activeTexture.set(d.TEXTURE0),it.atlasTexture.bind(it.atlasInterpolation,d.CLAMP_TO_EDGE),it.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),it.atlasTextureIcon&&it.atlasTextureIcon.bind(it.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),it.isSDF){var ot=it.uniformValues;it.hasHalo&&(ot.u_is_halo=1,en(it.buffers,at.segments,n,e,it.program,_,h,f,ot)),ot.u_is_halo=0}en(it.buffers,at.segments,n,e,it.program,_,h,f,it.uniformValues)}}function en(t,e,r,n,a,i,o,s,l){var c=n.context;a.draw(c,c.gl.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,h=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(h));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,f,g,h,m):wr(k,t,M,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,a,i,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var h=function(e,r,n){var a=n.paint.get(\"hillshade-shadow-color\"),i=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:a,u_highlight:i,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,a,i,o,Et.disabled,h,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,a,i,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var h=u.dim,f=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:h,height:h,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(h,h,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,h,h]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,function(e,r,n){var a=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[a,a],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),hn=new t.Color(1,0,1,1),fn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,a,i,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var a=e.context,i=a.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();a.activeTexture.set(i.TEXTURE0),e.emptyTexture.bind(i.LINEAR,i.CLAMP_TO_EDGE),s.draw(a,i.LINE_STRIP,l,c,u,Et.disabled,Pr(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,f=Math.floor((h&&h.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,a=t.debugOverlayCanvas.getContext(\"2d\");a.clearRect(0,0,r.width,r.height),a.shadowColor=\"white\",a.shadowBlur=2,a.lineWidth=1.5,a.strokeStyle=\"white\",a.textBaseline=\"top\",a.font=\"bold 36px Open Sans, sans-serif\",a.fillText(e,5,5),a.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+f+\"kb\"),s.draw(a,i.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Pr(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,a,i){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,a,i,o,s){for(var l=r.transform,c=\"map\"===i,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=a.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=fe(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(a,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),i),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,a,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&tn(e,r,n,a,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Xr(e,r,n,a,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Xr(e,r,n,a,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==i.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var m=a[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,h,f,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var a=t.gl;a.texImage2D(a.TEXTURE_2D,0,a.RGBA,e.width/4,e.height/4,0,a.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:a.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var c=0;c<a.length;c++){var u=a[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(i,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,h,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(f){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],P=C.patternPositions[E.from.toString()];L&&P&&k.setConstantPatternPositions(L,P)}var I=h?Rr(e,w,n,p):c?Fr(e,w,n,c,p):f?Dr(e,w,n):Or(e,w,n);h?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,i,At.disabled,St.disabled),nn(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,h=l[1];u<h.length;u+=1){var f=h[u],p=e.getTile(f);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,i,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[f.overscaledZ],s)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,g=h;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),b?(b.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(a,i.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(a,i.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,a,t,c,{tileID:x,tileSize:l},m):Yr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,a=this.style._order;n<a.length;n+=1)this.style._layers[a[n]].resize()},yn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,He.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,He.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Ir(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Ir(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),a=n[n.length-1].overscaledZ,i=n[0].overscaledZ-a+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();for(var o={},s=0;s<i;s++)o[s+a]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=i,[o,n]}return[(e={},e[a]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var a=this.style._order,i=this.style.sourceCaches;for(var o in i){var s=i[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in i){var d=i[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<a.length;g++)if(this.style._layers[a[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=a;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=h[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,i[y.source],y,x)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=a.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[a[this.currentLayer]],_=i[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<a.length;this.currentLayer++){var T=this.style._layers[a[this.currentLayer]],k=i[T.source],M=(\"symbol\"===T.type?f:h)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,hn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,fn)}(this),this.context.setDefault()},yn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],a=this.context.extTimerQuery,i=a.getQueryObjectEXT(n.query,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(n.query),e[r]=i}return e},yn.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:fe(r,n[0],this.transform.zoom),i?n[1]:fe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},yn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new br(this.context,yr[t],e,Zr[t],this._showOverdrawInspector)),this.cache[r]},yn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},yn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var a=Math.pow(2,n),i=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*a)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],i[e[0]],i[e[1]]),n=t.sub([],i[e[2]],i[e[1]]),a=t.normalize([],t.cross([],r,n)),o=-t.dot(a,i[e[1]]);return a.concat(o)}));return new xn(i,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),a=t.clone$2(this.max),i=0;i<r.length;i++)n[i]=r[i]?this.min[i]:this.center[i],a[i]=r[i]?this.center[i]:this.max[i];return a[2]=this.max[2],new bn(n,a)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,a=0;a<e.planes.length;a++){for(var i=e.planes[a],o=0,s=0;s<r.length;s++)o+=t.dot$1(i,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};_n.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),a=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,a)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,a,i){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===i||i,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==a?60:a,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};wn.prototype.clone=function(){var t=new wn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Tn.zoom.get=function(){return this._zoom},Tn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=[i*a.x,i*a.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*i,0,0],[(t+1)*i,i,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===f||w>3+(1<<f-g.zoom)-2&&g.zoom>=l)h.push({tileID:new t.OverscaledTileID(g.zoom===f?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[1]/a,s=n[1]/i,l=r[2]/a,c=n[2]/i,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/a,n[0]/i,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},wn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},wn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},wn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<i&&(a=i+m),g+m>o&&(a=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),a=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),i=this.point,o=i.x,s=i.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,f=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*h+d*f,m=s-Math.round(s)+p*f+d*h,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,a,i;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,a=null,i=function(){a=null,n&&(r(),a=setTimeout(i,300),n=!1)},function(){return n=!0,a||i(),a})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,a=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,a),o=Math.round(r.lng*i)/i,s=Math.round(r.lat*i)/i,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},kn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function Pn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function In(e,r,n){var a=n.maxSpeed,i=n.linearity,o=n.deceleration,s=t.clamp(e*i/(r/1e3),-a,a),l=Math.abs(s)/(o*i);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,a=this._inertiaBuffer;n<a.length;n+=1){var i=a[n].settings;r.zoom+=i.zoomDelta||0,r.bearing+=i.bearingDelta||0,r.pitch+=i.pitchDelta||0,i.panDelta&&r.pan._add(i.panDelta),i.around&&(r.around=i.around),i.pinchAround&&(r.pinchAround=i.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=In(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Pn(s,l)}if(r.zoom){var c=In(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,Pn(s,c)}if(r.bearing){var u=In(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),Pn(s,u)}if(r.pitch){var h=In(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+h.amount,Pn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),On=function(e){function n(n,a,i){var o=\"touchend\"===n?i.changedTouches:i.touches,s=r.touchPos(a.getCanvasContainer(),o),l=s.map((function(t){return a.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=a.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),Dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var a=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var i=Math.min(a.x,n.x),o=Math.max(a.x,n.x),s=Math.min(a.y,n.y),l=Math.max(a.y,n.y);r.setTransform(this._box,\"translate(\"+i+\"px,\"+s+\"px)\"),this._box.style.width=o-i+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var a=this;if(this._active&&0===e.button){var i=this._startPos,o=n;if(this.reset(),r.suppressClick(),i.x!==o.x||i.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(i,o,a._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,a=e;n<a.length;n+=1)r._add(a[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var a in this.touches){var i=n[a];(!i||i.dist(this.touches[a])>30)&&(this.aborted=!0)}}},jn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var a=t.timeStamp-this.lastTime<500,i=!this.lastTap||this.lastTap.dist(n)<30;if(a&&i||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.prototype.touchend=function(t,e,r){var n=this,a=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r);return a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(a)},{originalEvent:t})}}):i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(i)},{originalEvent:t})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var a=Nn(n,r),i=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in a){var c=a[l],u=this._touches[l];u&&(i._add(c),o._add(c.sub(u)),s++,a[l]=c)}if(this._touches=a,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:i.div(s),panDelta:h}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Zn=function(){this.reset()};function Xn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Zn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Zn.prototype._start=function(t){},Zn.prototype._move=function(t,e,r){return{}},Zn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Zn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,a=n[1],i=Xn(r,e,n[0]),o=Xn(r,e,a);if(i&&o){var s=this._aroundCenter?null:i.add(o).div(2);return this._move([i,o],s,t)}}},Zn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var a=this._firstTwoTouches,i=a[1],o=Xn(n,e,a[0]),s=Xn(n,e,i);o&&s||(this._active&&r.suppressClick(),this.reset())}},Zn.prototype.touchcancel=function(){this.reset()},Zn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Zn.prototype.disable=function(){this._enabled=!1,this.reset()},Zn.prototype.isEnabled=function(){return this._enabled},Zn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Zn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Qn(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=Qn(t,this._startVector);return Math.abs(r)<e},e}(Zn);function ta(t){return Math.abs(t.y)>Math.abs(t.x)}var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ta(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),a=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,a,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+a.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,a=e.mag()>=2;if(n||a){if(!n||!a)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var i=t.y>0==e.y>0;return ta(t)&&ta(e)&&i}},e}(Zn),ra={panStep:100,bearingStep:15,pitchStep:10},na=function(){var t=ra;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function aa(t){return t*(2-t)}na.prototype.reset=function(){this._active=!1},na.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,a=0,i=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?a=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?a=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:aa,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+a*e._pitchStep,offset:[-i*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},na.prototype.enable=function(){this._enabled=!0},na.prototype.disable=function(){this._enabled=!1,this.reset()},na.prototype.isEnabled=function(){return this._enabled},na.prototype.isActive=function(){return this._active};var ia=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ia.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ia.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ia.prototype.isEnabled=function(){return!!this._enabled},ia.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ia.prototype.isZooming=function(){return!!this._zooming},ia.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ia.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ia.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},ia.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ia.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},ia.prototype.renderFrame=function(){return this._onScrollFrame()},ia.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ia.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},ia.prototype.reset=function(){this._active=!1};var oa=function(t,e){this._clickZoom=t,this._tapZoom=e};oa.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oa.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oa.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oa.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var sa=function(){this.reset()};sa.prototype.reset=function(){this._active=!1},sa.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},sa.prototype.enable=function(){this._enabled=!0},sa.prototype.disable=function(){this._enabled=!1,this.reset()},sa.prototype.isEnabled=function(){return this._enabled},sa.prototype.isActive=function(){return this._active};var la=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};la.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},la.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},la.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],a=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:a/128}}}else this._tap.touchmove(t,e,r)},la.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},la.prototype.touchcancel=function(){this.reset()},la.prototype.enable=function(){this._enabled=!0},la.prototype.disable=function(){this._enabled=!1,this.reset()},la.prototype.isEnabled=function(){return this._enabled},la.prototype.isActive=function(){return this._active};var ca=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ca.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ca.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ca.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ca.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ua=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ua.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ua.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ua.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ua.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var ha=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};ha.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},ha.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},ha.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},ha.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},ha.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var fa=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function da(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ga=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var a=this._el;this._listeners=[[a,\"touchstart\",{passive:!1}],[a,\"touchmove\",{passive:!1}],[a,\"touchend\",void 0],[a,\"touchcancel\",void 0],[a,\"mousedown\",void 0],[a,\"mousemove\",void 0],[a,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[a,\"mouseover\",void 0],[a,\"mouseout\",void 0],[a,\"dblclick\",void 0],[a,\"click\",void 0],[a,\"keydown\",{capture:!1}],[a,\"keyup\",void 0],[a,\"wheel\",{passive:!1}],[a,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var i=0,o=this._listeners;i<o.length;i+=1){var s=o[i],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};ga.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var a=n[e],i=a[0];r.removeEventListener(i,a[1],i===t.window.document?this.handleWindowEvent:this.handleEvent,a[2])}},ga.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var a=new Vn,i=new sa;e.doubleClickZoom=new oa(i,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",i);var o=new la;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ea;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ua(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),h=new Wn(t);e.dragPan=new ca(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new $n,p=new Kn;e.touchZoomRotate=new ha(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ia(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new na;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},ga.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ga.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ga.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ga.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ga.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ga.prototype.isMoving=function(){return Boolean(fa(this._eventsInProgress))||this.isZooming()},ga.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ga.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ga.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r];this._el.contains(a.target)&&e.push(a)}return e},ga.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,a={needsRenderFrame:!1},i={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(a,i,g,f,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[f]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||da(a))&&(this._changes.push([a,i,m]),this._triggerRenderFrame()),(Object.keys(o).length||da(a))&&this._map._stop(!0),this._updatingCamera=!1;var y=a.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},ga.prototype.mergeHandlerResult=function(e,r,n,a,i){if(n){t.extend(e,n);var o={handlerName:a,originalEvent:n.originalEvent||i};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ga.prototype._applyChanges=function(){for(var e={},r={},n={},a=0,i=this._changes;a<i.length;a+=1){var o=i[a],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},ga.prototype._updateMapTransform=function(t,e,r){var n=this._map,a=n.transform;if(!da(t))return this._fireEvents(e,r);var i=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=a.pointLocation(i?c.sub(i):c);s&&(a.bearing+=s),l&&(a.pitch+=l),o&&(a.zoom+=o),a.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ga.prototype._fireEvents=function(e,r){var n=this,a=fa(this._eventsInProgress),i=fa(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!a&&i&&this._fireEvent(\"movestart\",i.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),i&&this._fireEvent(\"move\",i.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,h={};for(var f in this._eventsInProgress){var p=this._eventsInProgress[f],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[f],h[f+\"end\"]=u=r[d]||g)}for(var m in h)this._fireEvent(m,h[m]);var v=fa(this._eventsInProgress);if((a||i)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ga.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ga.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pa(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var ma=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){var i={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(a=t.extend({padding:i,offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var o=a.padding;a.padding={top:o,bottom:o,right:o,left:o}}a.padding=t.extend(i,a.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),g=p.sub(d),m=(s.width-(l.left+l.right+a.padding.left+a.padding.right))/g.x,v=(s.height-(l.top+l.bottom+a.padding.top+a.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),a.maxZoom),x=t.Point.convert(a.offset),b=new t.Point(x.x+(a.padding.left-a.padding.right)/2,x.y+(a.padding.top-a.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:i,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:a.padding,p=t.Point.convert(e.offset),d=a.centerPoint.add(p),g=a.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=a.project(g),b=a.project(m).sub(x),_=a.zoomScale(c-i);e.around&&(v=t.LngLat.convert(e.around),y=a.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==i,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!a.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(a.zoom=t.number(i,c,e)),n._rotating&&(a.bearing=t.number(o,u,e)),n._pitching&&(a.pitch=t.number(s,h,e)),n._padding&&(a.interpolatePadding(l,f,e),d=a.centerPoint.add(p)),v)a.setLocationAtPoint(v,y);else{var g=a.zoomScale(a.zoom-i),m=c>i?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=a.unproject(x.add(b.mult(e*w)).mult(g));a.setLocationAtPoint(a.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,a=this._rotating,i=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),a&&this.fire(new t.Event(\"rotateend\",e)),i&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:i.padding,d=i.zoomScale(u-o),g=t.Point.convert(e.offset),m=i.centerPoint.add(g),v=i.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=i.project(v),b=i.project(y).sub(x),_=e.curve,w=Math.max(i.width,i.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),i.minZoom,i.maxZoom),A=w/i.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return L(P)/L(P+_*t)},z=function(t){return w*((L(P)*(C(e=P+_*t)/L(e))-C(P))/S)/k;var e},O=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},I=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!i.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var a=e*O,d=1/I(a);i.zoom=1===e?u:o+i.scaleZoom(d),n._rotating&&(i.bearing=t.number(s,h,e)),n._pitching&&(i.pitch=t.number(l,f,e)),n._padding&&(i.interpolatePadding(c,p,e),m=i.centerPoint.add(g));var v=1===e?y:i.unproject(x.add(b.mult(z(a))).mult(d));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),va=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};va.prototype.getDefaultPosition=function(){return\"bottom-right\"},va.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},va.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},va.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},va.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},va.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},va.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ya=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ya.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},ya.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ya.prototype.getDefaultPosition=function(){return\"bottom-left\"},ya.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ya.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},ya.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var xa=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xa.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xa.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},xa.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var a=n[r];if(!a.cancelled&&(a.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xa.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var ba={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},_a=t.window.HTMLImageElement,wa=t.window.HTMLElement,Ta=t.window.ImageBitmap,ka={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ma=function(n){function a(e){var r=this;if(null!=(e=t.extend({},ka,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var a=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,a,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new xa,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},ba,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof wa))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ga(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new va({customAttribution:e.customAttribution})),this.addControl(new ya,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(a.__proto__=n),(a.prototype=Object.create(n&&n.prototype)).constructor=a;var i={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a);var i=!this._moving;return i&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),i&&this.fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},a.prototype.getMinPitch=function(){return this.transform.minPitch},a.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},a.prototype.getMaxPitch=function(){return this.transform.maxPitch},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},a.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},a.prototype._createDelegatedListener=function(t,e,r){var n,a=this;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new zn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new zn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new zn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}},a.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(i,a.delegates[i]);return this},a.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var a=this._createDelegatedListener(t,e,r);for(var i in a.delegates)this.once(i,a.delegates[i]);return this},a.prototype.off=function(t,e,r){var a=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var i=n[t],o=0;o<i.length;o++){var s=i[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)a.off(l,s.delegates[l]);return i.splice(o,1),a}}}(this._delegatedListeners),this)},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,(function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;void 0===i&&(i=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _a||Ta&&r instanceof Ta){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:a,stretchX:o,stretchY:s,content:l,sdf:i,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var a=r instanceof _a||Ta&&r instanceof Ta?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;return void 0===i||void 0===o?this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\"))):i!==n.data.width||o!==n.data.height?this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\"))):(n.data.replace(s,!(r instanceof _a||Ta&&r instanceof Ta)),void this.style.updateImage(e,n))},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)}))},a.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(e){var r,n=this,a=0,i=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=i.createQueryEXT(),i.beginQueryEXT(i.TIME_ELAPSED_EXT,r),a=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-a;i.endQueryEXT(i.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=i.getQueryObjectEXT(r,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Aa(this._canvasContainer),Aa(this._controlContainer),Aa(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showPadding.get=function(){return!!this._showPadding},i.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(ma);function Aa(t){t.parentNode&&t.parentNode.removeChild(t)}var Sa={showCompass:!0,showZoom:!0,visualizePitch:!1},Ea=function(e){var n=this;this.options=t.extend({},Sa,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ea.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ea.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Ea.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ca(this._map,this._compass,this.options.visualizePitch)),this._container},Ea.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ea.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ea.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ca=function(e,n,a){void 0===a&&(a=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,a&&(this.mousePitch=new Yn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function La(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ca.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ca.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var a=this.mousePitch.mousemoveWindow(t,e);a&&a.pitchDelta&&r.setPitch(r.getPitch()+a.pitchDelta)}},Ca.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ca.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ca.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ca.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ca.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ca.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ca.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ca.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Pa={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Ia(t,e,r){var n=t.classList;for(var a in Pa)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var za,Oa=function(e){function n(n,a){var i=this;if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,h=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<h.length;u+=1){var f=h[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",f.rx),p.setAttributeNS(null,\"ry\",f.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=i._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ia(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Pa[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Da={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ra=0,Fa=!1,Ba=function(e){function n(r){e.call(this),this.options=t.extend({},Da,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==za?n(za):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(za=\"denied\"!==t.state)})):n(za=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ra=0,Fa=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),a=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=a+\"px\",this._circleElement.style.height=a+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Fa)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var a=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}else{var i=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Oa(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oa({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ra--,Fa=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ra>1?(e={maximumAge:6e5,timeout:0},Fa=!0):(e=this.options.positionOptions,Fa=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Na={maxWidth:100,unit:\"metric\"},ja=function(e){this.options=t.extend({},Na,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ua(t,e,r){var n=r&&r.maxWidth||100,a=t._container.clientHeight/2,i=t.unproject([0,a]),o=t.unproject([n,a]),s=i.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Va(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Va(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Va(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Va(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Va(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Va(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\"&nbsp;\"+n}ja.prototype.getDefaultPosition=function(){return\"bottom-left\"},ja.prototype._onMove=function(){Ua(this._map,this._container,this.options)},ja.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},ja.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ja.prototype.setUnit=function(t){this.options.unit=t,Ua(this._map,this._container,this.options)};var qa=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};qa.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},qa.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qa.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},qa.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qa.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qa.prototype._isFullscreen=function(){return this._fullscreen},qa.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},qa.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Ha={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Ga=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ha),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=La(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),i=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var a=t.Point.convert(r);return{center:a,top:a,\"top-left\":a,\"top-right\":a,bottom:a,\"bottom-left\":a,\"bottom-right\":a,left:a,right:a}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!i){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=a.y+o.bottom.y<c?[\"top\"]:a.y>this._map.transform.height-c?[\"bottom\"]:[],a.x<l/2?s.push(\"left\"):a.x>this._map.transform.width-l/2&&s.push(\"right\"),i=0===s.length?\"bottom\":s.join(\"-\")}var u=a.add(o[i]).round();r.setTransform(this._container,Pa[i]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Ia(this._container,i,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Ya={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ma,NavigationControl:Ea,GeolocateControl:Ba,AttributionControl:va,ScaleControl:ja,FullscreenControl:qa,Popup:Ga,Marker:Oa,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Ya})),r}))},{}],448:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=i(t,n);return r};var n=t(\"convex-hull\");function a(t,e,r){for(var n=new Array(t),a=0;a<t;++a)n[a]=0,a===e&&(n[a]+=.5),a===r&&(n[a]+=.5);return n}function i(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],i=[],o=0;o<=t;++o)if(e&1<<o){r.push(a(t,o-1,o-1)),i.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(a(t,o-1,s-1)),i.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],h=[];for(s=0;s<u.length;++s){if(!i[u[s]])continue t;h.push(i[u[s]].slice())}c.push(h)}return c}},{\"convex-hull\":135}],449:[function(t,e,r){var n=t(\"./normalize\"),a=t(\"gl-mat4/create\"),i=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=a(),h=a(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,a){t[0]=e[0]*n+r[0]*a,t[1]=e[1]*n+r[1]*a,t[2]=e[2]*n+r[2]*a}e.exports=function(t,e,r,a,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),a||(a=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(i(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=m,b=h,_=(x=f)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),a[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-a[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),a[0]/=r[1],a[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-a[1]),a[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-a[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),a[1]/=r[2],a[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":450,\"gl-mat4/clone\":272,\"gl-mat4/create\":273,\"gl-mat4/determinant\":274,\"gl-mat4/invert\":278,\"gl-mat4/transpose\":289,\"gl-vec3/cross\":339,\"gl-vec3/dot\":344,\"gl-vec3/length\":354,\"gl-vec3/normalize\":361}],450:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,a=0;a<16;a++)t[a]=e[a]*n;return!0}},{}],451:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),a=t(\"mat4-recompose\"),i=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=i(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=i(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p)&&(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),a(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":274,\"gl-vec3/lerp\":355,\"mat4-decompose\":449,\"mat4-recompose\":452,\"quat-slerp\":501}],452:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},a=(n.create(),n.create());e.exports=function(t,e,r,i,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(a),0!==i[2]&&(a[9]=i[2],n.multiply(t,t,a)),0!==i[1]&&(a[9]=0,a[8]=i[1],n.multiply(t,t,a)),0!==i[0]&&(a[8]=0,a[4]=i[0],n.multiply(t,t,a)),n.scale(t,t,r),t}},{\"gl-mat4/create\":273,\"gl-mat4/fromRotationTranslation\":276,\"gl-mat4/identity\":277,\"gl-mat4/multiply\":280,\"gl-mat4/scale\":287,\"gl-mat4/translate\":288}],453:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],454:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),a=t(\"mat4-interpolate\"),i=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else a(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var m=this.computedInverse;i(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=v[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var a=0,i=0;i<3;++i)a+=Math.pow(r[i]-e[i],2);a=Math.log(Math.sqrt(a)),this.computedRadius[0]=a},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var a=this.computedInverse;e&&s(a,a,e),r&&o(a,a,r),n&&l(a,a,n),this.setMatrix(t,i(this.computedMatrix,a))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var 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p=o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})),d=o.map((function(t){return\"c\"+t+\"=this.stride[\"+t+\"]\"}));i.push(\"proto.lo=function \"+r+\"_lo(\"+l.join(\",\")+\"){var b=this.offset,d=0,\"+p.join(\",\")+\",\"+d.join(\",\"));for(var g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){d=i\"+g+\"|0;b+=c\"+g+\"*d;a\"+g+\"-=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"c\"+t})).join(\",\")+\",b)}\"),i.push(\"proto.step=function \"+r+\"_step(\"+l.join(\",\")+\"){var \"+o.map((function(t){return\"a\"+t+\"=this.shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t+\"=this.stride[\"+t+\"]\"})).join(\",\")+\",c=this.offset,d=0,ceil=Math.ceil\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'){d=i\"+g+\"|0;if(d<0){c+=b\"+g+\"*(a\"+g+\"-1);a\"+g+\"=ceil(-a\"+g+\"/d)}else{a\"+g+\"=ceil(a\"+g+\"/d)}b\"+g+\"*=d}\");i.push(\"return new \"+r+\"(this.data,\"+o.map((function(t){return\"a\"+t})).join(\",\")+\",\"+o.map((function(t){return\"b\"+t})).join(\",\")+\",c)}\");var m=new Array(e),v=new Array(e);for(g=0;g<e;++g)m[g]=\"a[i\"+g+\"]\",v[g]=\"b[i\"+g+\"]\";i.push(\"proto.transpose=function \"+r+\"_transpose(\"+l+\"){\"+l.map((function(t,e){return t+\"=(\"+t+\"===undefined?\"+e+\":\"+t+\"|0)\"})).join(\";\"),\"var a=this.shape,b=this.stride;return new \"+r+\"(this.data,\"+m.join(\",\")+\",\"+v.join(\",\")+\",this.offset)}\"),i.push(\"proto.pick=function \"+r+\"_pick(\"+l+\"){var a=[],b=[],c=this.offset\");for(g=0;g<e;++g)i.push(\"if(typeof i\"+g+\"==='number'&&i\"+g+\">=0){c=(c+this.stride[\"+g+\"]*i\"+g+\")|0}else{a.push(this.shape[\"+g+\"]);b.push(this.stride[\"+g+\"])}\");return i.push(\"var ctor=CTOR_LIST[a.length+1];return ctor(this.data,a,b,c)}\"),i.push(\"return function construct_\"+r+\"(data,shape,stride,offset){return new \"+r+\"(data,\"+o.map((function(t){return\"shape[\"+t+\"]\"})).join(\",\")+\",\"+o.map((function(t){return\"stride[\"+t+\"]\"})).join(\",\")+\",offset)}\"),new Function(\"CTOR_LIST\",\"ORDER\",i.join(\"\\n\"))(c[t],s)}var c={float32:[],float64:[],int8:[],int16:[],int32:[],uint8:[],uint16:[],uint32:[],array:[],uint8_clamped:[],bigint64:[],biguint64:[],buffer:[],generic:[]};e.exports=function(t,e,r,n){if(void 0===t)return(0,c.array[0])([]);\"number\"==typeof t&&(t=[t]),void 0===e&&(e=[t.length]);var o=e.length;if(void 0===r){r=new Array(o);for(var s=o-1,u=1;s>=0;--s)r[s]=u,u*=e[s]}if(void 0===n){n=0;for(s=0;s<o;++s)r[s]<0&&(n-=(e[s]-1)*r[s])}for(var h=function(t){if(a(t))return\"buffer\";if(i)switch(Object.prototype.toString.call(t)){case\"[object Float64Array]\":return\"float64\";case\"[object Float32Array]\":return\"float32\";case\"[object Int8Array]\":return\"int8\";case\"[object Int16Array]\":return\"int16\";case\"[object Int32Array]\":return\"int32\";case\"[object Uint8Array]\":return\"uint8\";case\"[object Uint16Array]\":return\"uint16\";case\"[object Uint32Array]\":return\"uint32\";case\"[object Uint8ClampedArray]\":return\"uint8_clamped\";case\"[object BigInt64Array]\":return\"bigint64\";case\"[object BigUint64Array]\":return\"biguint64\"}return Array.isArray(t)?\"array\":\"generic\"}(t),f=c[h];f.length<=o+1;)f.push(l(h,f.length-1));return(0,f[o+1])(t,e,r,n)}},{\"iota-array\":437,\"is-buffer\":439}],470:[function(t,e,r){\"use strict\";var n=t(\"double-bits\"),a=Math.pow(2,-1074);e.exports=function(t,e){if(isNaN(t)||isNaN(e))return NaN;if(t===e)return t;if(0===t)return e<0?-a:a;var r=n.hi(t),i=n.lo(t);e>t==t>0?i===-1>>>0?(r+=1,i=0):i+=1:0===i?(i=-1>>>0,r-=1):i-=1;return n.pack(i,r)}},{\"double-bits\":173}],471:[function(t,e,r){var n=Math.PI,a=c(120);function i(t,e,r,n){return[\"C\",t,e,r,n,r,n]}function o(t,e,r,n,a,i){return[\"C\",t/3+2/3*r,e/3+2/3*n,a/3+2/3*r,i/3+2/3*n,a,i]}function s(t,e,r,i,o,c,u,h,f,p){if(p)T=p[0],k=p[1],_=p[2],w=p[3];else{var d=l(t,e,-o);t=d.x,e=d.y;var g=(t-(h=(d=l(h,f,-o)).x))/2,m=(e-(f=d.y))/2,v=g*g/(r*r)+m*m/(i*i);v>1&&(r*=v=Math.sqrt(v),i*=v);var y=r*r,x=i*i,b=(c==u?-1:1)*Math.sqrt(Math.abs((y*x-y*m*m-x*g*g)/(y*m*m+x*g*g)));b==1/0&&(b=1);var _=b*r*m/i+(t+h)/2,w=b*-i*g/r+(e+f)/2,T=Math.asin(((e-w)/i).toFixed(9)),k=Math.asin(((f-w)/i).toFixed(9));(T=t<_?n-T:T)<0&&(T=2*n+T),(k=h<_?n-k:k)<0&&(k=2*n+k),u&&T>k&&(T-=2*n),!u&&k>T&&(k-=2*n)}if(Math.abs(k-T)>a){var M=k,A=h,S=f;k=T+a*(u&&k>T?1:-1);var E=s(h=_+r*Math.cos(k),f=w+i*Math.sin(k),r,i,o,0,u,A,S,[k,M,_,w])}var C=Math.tan((k-T)/4),L=4/3*r*C,P=4/3*i*C,I=[2*t-(t+L*Math.sin(T)),2*e-(e-P*Math.cos(T)),h+L*Math.sin(k),f-P*Math.cos(k),h,f];if(p)return I;E&&(I=I.concat(E));for(var z=0;z<I.length;){var O=l(I[z],I[z+1],o);I[z++]=O.x,I[z++]=O.y}return I}function l(t,e,r){return{x:t*Math.cos(r)-e*Math.sin(r),y:t*Math.sin(r)+e*Math.cos(r)}}function c(t){return t*(n/180)}e.exports=function(t){for(var e,r=[],n=0,a=0,l=0,u=0,h=null,f=null,p=0,d=0,g=0,m=t.length;g<m;g++){var v=t[g],y=v[0];switch(y){case\"M\":l=v[1],u=v[2];break;case\"A\":(v=s(p,d,v[1],v[2],c(v[3]),v[4],v[5],v[6],v[7])).unshift(\"C\"),v.length>7&&(r.push(v.splice(0,7)),v.unshift(\"C\"));break;case\"S\":var x=p,b=d;\"C\"!=e&&\"S\"!=e||(x+=x-n,b+=b-a),v=[\"C\",x,b,v[1],v[2],v[3],v[4]];break;case\"T\":\"Q\"==e||\"T\"==e?(h=2*p-h,f=2*d-f):(h=p,f=d),v=o(p,d,h,f,v[1],v[2]);break;case\"Q\":h=v[1],f=v[2],v=o(p,d,v[1],v[2],v[3],v[4]);break;case\"L\":v=i(p,d,v[1],v[2]);break;case\"H\":v=i(p,d,v[1],d);break;case\"V\":v=i(p,d,p,v[1]);break;case\"Z\":v=i(p,d,l,u)}e=y,p=v[v.length-2],d=v[v.length-1],v.length>4?(n=v[v.length-4],a=v[v.length-3]):(n=p,a=d),r.push(v)}return r}},{}],472:[function(t,e,r){r.vertexNormals=function(t,e,r){for(var n=e.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o)a[o]=[0,0,0];for(o=0;o<t.length;++o)for(var s=t[o],l=0,c=s[s.length-1],u=s[0],h=0;h<s.length;++h){l=c,c=u,u=s[(h+1)%s.length];for(var f=e[l],p=e[c],d=e[u],g=new Array(3),m=0,v=new Array(3),y=0,x=0;x<3;++x)g[x]=f[x]-p[x],m+=g[x]*g[x],v[x]=d[x]-p[x],y+=v[x]*v[x];if(m*y>i){var b=a[c],_=1/Math.sqrt(m*y);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(v[w]*g[T]-v[T]*g[w])}}}for(o=0;o<n;++o){b=a[o];var k=0;for(x=0;x<3;++x)k+=b[x]*b[x];if(k>i)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return a},r.faceNormals=function(t,e,r){for(var n=t.length,a=new Array(n),i=void 0===r?1e-6:r,o=0;o<n;++o){for(var s=t[o],l=new Array(3),c=0;c<3;++c)l[c]=e[s[c]];var u=new Array(3),h=new Array(3);for(c=0;c<3;++c)u[c]=l[1][c]-l[0][c],h[c]=l[2][c]-l[0][c];var f=new Array(3),p=0;for(c=0;c<3;++c){var d=(c+1)%3,g=(c+2)%3;f[c]=u[d]*h[g]-u[g]*h[d],p+=f[c]*f[c]}p=p>i?1/Math.sqrt(p):0;for(c=0;c<3;++c)f[c]*=p;a[o]=f}return a}},{}],473:[function(t,e,r){\n",
-       "/*\n",
-       "object-assign\n",
-       "(c) Sindre Sorhus\n",
-       "@license MIT\n",
-       "*/\n",
-       "\"use strict\";var n=Object.getOwnPropertySymbols,a=Object.prototype.hasOwnProperty,i=Object.prototype.propertyIsEnumerable;function o(t){if(null==t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}e.exports=function(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},r=0;r<10;r++)e[\"_\"+String.fromCharCode(r)]=r;if(\"0123456789\"!==Object.getOwnPropertyNames(e).map((function(t){return e[t]})).join(\"\"))return!1;var n={};return\"abcdefghijklmnopqrst\".split(\"\").forEach((function(t){n[t]=t})),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},n)).join(\"\")}catch(t){return!1}}()?Object.assign:function(t,e){for(var r,s,l=o(t),c=1;c<arguments.length;c++){for(var u in r=Object(arguments[c]))a.call(r,u)&&(l[u]=r[u]);if(n){s=n(r);for(var h=0;h<s.length;h++)i.call(r,s[h])&&(l[s[h]]=r[s[h]])}}return l}},{}],474:[function(t,e,r){\"use 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Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function u(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=c(r,n,a,i);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=a/o,t[3]=i/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function h(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var f=h.prototype;f.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},f.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;u(e,e);var r=this.computedMatrix;i(r,e);var n=this.computedCenter,a=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);a[0]=n[0]+s*r[2],a[1]=n[1]+s*r[6],a[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var c=0,h=0;h<3;++h)c+=r[l+4*h]*a[h];r[12+l]=-c}},f.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},f.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},f.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},f.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var a=this.computedMatrix,i=a[1],o=a[5],s=a[9],c=l(i,o,s);i/=c,o/=c,s/=c;var u=a[0],h=a[4],f=a[8],p=u*i+h*o+f*s,d=l(u-=i*p,h-=o*p,f-=s*p);u/=d,h/=d,f/=d;var g=a[2],m=a[6],v=a[10],y=g*i+m*o+v*s,x=g*u+m*h+v*f,b=l(g-=y*i+x*u,m-=y*o+x*h,v-=y*s+x*f);g/=b,m/=b,v/=b;var _=u*e+i*r,w=h*e+o*r,T=f*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},f.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var a=this.computedMatrix,i=a[0],o=a[4],s=a[8],u=a[1],h=a[5],f=a[9],p=a[2],d=a[6],g=a[10],m=e*i+r*u,v=e*o+r*h,y=e*s+r*f,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,M=k[0],A=k[1],S=k[2],E=k[3],C=M*w+E*x+A*_-S*b,L=A*w+E*b+S*x-M*_,P=S*w+E*_+M*b-A*x,I=E*w-M*x-A*b-S*_;if(n){x=p,b=d,_=g;var z=Math.sin(n)/l(x,b,_);x*=z,b*=z,_*=z,I=I*(w=Math.cos(e))-(C=C*w+I*x+L*_-P*b)*x-(L=L*w+I*b+P*x-C*_)*b-(P=P*w+I*_+C*b-L*x)*_}var O=c(C,L,P,I);O>1e-6?(C/=O,L/=O,P/=O,I/=O):(C=L=P=0,I=1),this.rotation.set(t,C,L,P,I)},f.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;a(i,e,r,n);var o=this.computedRotation;s(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},f.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},f.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var a=n[15];if(Math.abs(a)>1e-6){var i=n[12]/a,l=n[13]/a,c=n[14]/a;this.recalcMatrix(t);var h=Math.exp(this.computedRadius[0]);this.center.set(t,i-n[2]*h,l-n[6]*h,c-n[10]*h),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},f.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},f.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},f.getDistanceLimits=function(t){var e=this.radius.bounds;return 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-       "/*!\n",
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h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(f)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===h.alongA&&(-1===h.alongB?l(t,c):0===h.alongB?l(t,h.pt):1===h.alongB&&l(t,u)),0===h.alongB&&(-1===h.alongA?l(n,o):0===h.alongA?l(n,h.pt):1===h.alongA&&l(n,s));return!1}for(var h=[];!i.isEmpty();){var f=i.getHead();if(r&&r.vert(f.pt[0]),f.isStart){r&&r.segmentNew(f.seg,f.primary);var p=c(f),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(f,d);if(t)return t}return!!g&&u(f,g)}r&&r.tempStatus(f.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else 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MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},m.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\"}),d||(e.passes[h]=d={id:h,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=i({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,h<m.maxLines&&(d.depth=2*(m.maxLines-1-h%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=a(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var C=v[2*A],L=v[2*A+1];isNaN(C)||isNaN(L)||null==C||null==L?(C=v[2*M],L=v[2*M+1],k[A]=M):M=A,T[S++]=C,T[S++]=L}for(var P=c(T,d.hole||[]),I=0,z=P.length;I<z;I++)null!=k[P[I]]&&(P[I]=k[P[I]]);d.triangles=P}var O=new Float64Array(v);u(O,2,w);var D=new Float64Array(2*y+6);d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[0]=O[2*y-4],D[1]=O[2*y-3]):(D[0]=O[2*y-2],D[1]=O[2*y-1]):(D[0]=O[0],D[1]=O[1]),D.set(O,2),d.close?v[0]===v[2*y-2]&&v[1]===v[2*y-1]?(D[2*y+2]=O[2],D[2*y+3]=O[3],d.count-=1):(D[2*y+2]=O[0],D[2*y+3]=O[1],D[2*y+4]=O[2],D[2*y+5]=O[3]):(D[2*y+2]=O[2*y-2],D[2*y+3]=O[2*y-1],D[2*y+4]=O[2*y-2],D[2*y+5]=O[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var Z=0,X=t.dashes[W]*m.dashMult*.5;Z<X;++Z)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[h]=null})),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=this.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:413,\"object-assign\":473,\"parse-rect\":478,\"pick-by-alias\":485,\"to-float32\":549}],510:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,a=!1,i=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){a=!0,i=t}finally{try{n||null==s.return||s.return()}finally{if(a)throw i}}return r}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function a(t){return function(t){if(Array.isArray(t))return o(t)}(t)||function(t){if(\"undefined\"!=typeof Symbol&&Symbol.iterator in Object(t))return Array.from(t)}(t)||i(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return o(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?o(t,e):void 0}}function o(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),h=t(\"object-assign\"),f=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),h(this,{regl:t,gl:a,groups:[],markerCache:[null],markerTextures:[null],palette:i,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:a.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?i.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?i.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=h({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nuniform sampler2D marker;\\nuniform float opacity;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=h({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!i)return r?[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[h({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=f.length;v--;){var y=n(f[v],2),x=y[0],b=y[1];u.push(h({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,f=this.palette;this.groups=a=r.map((function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(a[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=h({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,i=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),h=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=o.elements(f)}return a({data:v.float(t),usage:\"dynamic\"}),i({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach((function(t){return t&&t.destroy&&t.destroy()})),a.length=0,e&&\"number\"!=typeof e[0]){for(var i=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);i[c]||(i[c]=new Uint8Array(r.count)),i[c][s]=1}for(var u=0;u<i.length;u++)if(i[u]){var h={data:i[u],type:\"uint8\",usage:\"static\"};a[u]?a[u](h):a[u]=o.buffer(h),a[u].data=i[u]}}else{a[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[i.drawingBufferWidth,i.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),A[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);M({data:A,usage:\"dynamic\"})}if(x){var E,C=n,L=C.count,P=C.color,I=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=P[O];E[8*O]=f[4*D],E[8*O+1]=f[4*D+1],E[8*O+2]=f[4*D+2],E[8*O+3]=f[4*D+3];var R=I[O];E[8*O+4]=f[4*R],E[8*O+5]=f[4*R+1],E[8*O+6]=f[4*R+2],E[8*O+7]=f[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,a=this.markerCache,i=null==t?0:a.indexOf(t);if(i>=0)return i;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return i=r.length,a.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),i},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var a=[];if(\"number\"==typeof t[0]){var i=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)i.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)i.push(t.subarray(l,l+4));t=i}for(var u=0;u<t.length;u++){var h=t[u];h=s(h,\"uint8\");var f=c(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}a[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===a.length?a[0]:a},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var a=.25*(t=t.slice()).length%e;a<n*e;a++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return 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o=(i+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[i],l=e[i+4],h=e[i+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var m=c(s,l,h);s/=m,l/=m,h/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,T=c(x-=s*w,b-=l*w,_-=h*w),k=l*(_/=T)-h*(b/=T),M=h*(x/=T)-s*_,A=s*b-l*x,S=c(k,M,A);if(k/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],C=e[5],L=e[9],P=E*x+C*b+L*_,I=E*k+C*M+L*A;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var z=e[2],O=e[6],D=e[10],R=z*s+O*l+D*h,F=z*x+O*b+D*_,B=z*k+O*M+D*A;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;a(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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i=Object.getOwnPropertyNames,o=Object.defineProperty,s=Object.isExtensible,l=\"weakmap:ident:\"+Math.random()+\"___\";if(\"undefined\"!=typeof crypto&&\"function\"==typeof crypto.getRandomValues&&\"function\"==typeof ArrayBuffer&&\"function\"==typeof Uint8Array){var c=new ArrayBuffer(25),u=new Uint8Array(c);crypto.getRandomValues(u),l=\"weakmap:rand:\"+Array.prototype.map.call(u,(function(t){return(t%36).toString(36)})).join(\"\")+\"___\"}if(o(Object,\"getOwnPropertyNames\",{value:function(t){return i(t).filter(m)}}),\"getPropertyNames\"in Object){var h=Object.getPropertyNames;o(Object,\"getPropertyNames\",{value:function(t){return h(t).filter(m)}})}!function(){var t=Object.freeze;o(Object,\"freeze\",{value:function(e){return v(e),t(e)}});var e=Object.seal;o(Object,\"seal\",{value:function(t){return v(t),e(t)}});var r=Object.preventExtensions;o(Object,\"preventExtensions\",{value:function(t){return v(t),r(t)}})}();var f=!1,p=0,d=function(){this instanceof d||x();var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":593,\"object-assign\":473}],581:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":593,\"object-assign\":473}],582:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":593,\"object-assign\":473}],586:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":593,\"object-assign\":473}],587:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":593,\"object-assign\":473}],588:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":593,\"object-assign\":473}],590:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":593,\"object-assign\":473}],591:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":593,\"object-assign\":473}],592:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":775,\"fast-isnumeric\":241}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../annotations/attributes\":598}],608:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../annotations/common_defaults\":601,\"./attributes\":607}],610:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":848,\"../annotations/draw\":604}],611:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var a=0;a<r.length;a++)c(t,e,r[a]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,r){for(var 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a=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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E=x.width/2+M;v<E?(v=E,s.attr(\"d\",\"M-\"+(E-k)+\",0L-\"+(E-2*k)+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"Z\")):v>a.width-E?(v=a.width-E,s.attr(\"d\",\"M\"+(E-k)+\",0L\"+E+\",\"+A+k+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"H\"+(E-2*k)+\"Z\")):s.attr(\"d\",\"M0,0L\"+k+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+(M+x.width/2)+\"V\"+A+k+\"H-\"+k+\"Z\")}else{var C,P,I;\"right\"===S.side?(C=\"start\",P=1,I=\"\",v=T._offset+T._length):(C=\"end\",P=-1,I=\"-\",v=T._offset),y=S._offset+(w.y0+w.y1)/2,c.attr(\"text-anchor\",C),s.attr(\"d\",\"M0,0L\"+I+k+\",\"+k+\"V\"+(M+x.height/2)+\"h\"+I+(2*M+x.width)+\"V-\"+(M+x.height/2)+\"H\"+I+k+\"V-\"+k+\"Z\");var O,D=x.height/2,R=z-x.top-D,F=\"clip\"+a._uid+\"commonlabel\"+S._id;if(v<x.width+2*M+k){O=\"M-\"+(k+M)+\"-\"+D+\"h-\"+(x.width-M)+\"V\"+D+\"h\"+(x.width-M)+\"Z\";var B=x.width-v+M;l.positionText(c,B,R),\"end\"===C&&c.selectAll(\"tspan\").each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.bgcolor||t.color,f=h.combine(h.opacity(o)?o:h.defaultLine,c),p=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),d=t.borderColor||h.contrast(f),g=C(t,R,i,a,L,e),m=g[0],v=g[1],y=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||d).text(m).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),w=e.select(\"text.name\"),T=0,A=0;if(v&&v!==m){w.call(u.font,t.fontFamily||b,t.fontSize||_,p).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var S=w.node().getBoundingClientRect();T=S.width+2*M,A=S.height+2*M}else w.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:f,stroke:d});var E,P,I=y.node().getBoundingClientRect(),F=t.xa._offset+(t.x0+t.x1)/2,B=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=I.width+k+M+T;if(t.ty0=z-I.top,t.bx=I.width+2*M,t.by=Math.max(I.height+2*M,A),t.anchor=\"start\",t.txwidth=I.width,t.tx2width=T,t.offset=0,s)t.pos=F,E=B+j/2+U<=D,P=B-j/2-U>=0,\"top\"!==t.idealAlign&&E||!P?E?(B+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(B-=j/2,t.anchor=\"end\");else if(t.pos=B,E=F+N/2+U<=O,P=F-N/2-U>=0,\"left\"!==t.idealAlign&&E||!P)if(E)F+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var V=U/2,q=F+V-O,H=F-V;q>0&&(F-=q),H<0&&(F+=-H)}else F-=N/2,t.anchor=\"end\";y.attr(\"text-anchor\",t.anchor),T&&w.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+F+\",\"+B+\")\"+(s?\"rotate(\"+x+\")\":\"\"))})),it}function C(t,e,r,n,a,i){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return s=O(r,t.nameLength),\"\"}))),[l,s]}function L(t,e){t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(k+M),h=c+s*(t.txwidth+M),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+M),e&&(p*=-T,f=t.offset*w),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*k+f)+\",\"+(k+p)+\"v\"+(t.by/2-k)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*k+f)+\"V\"+(p-k)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||\"auto\";\"auto\"!==m&&(\"left\"===m&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+M:-t.bx-M):\"right\"===m&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-M:t.bx+M)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:i(a({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/animation_attributes\":792,\"../../plots/font_attributes\":825,\"../../plots/pad_attributes\":859,\"./constants\":706}],706:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var 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f=s.distinctVals(t),d=Math.pow(10,Math.floor(Math.log(f.minDiff)/Math.LN10)),g=d*s.roundUp(f.minDiff/d,[.9,1.9,4.9,9.9],!0);h=Math.max(g,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),a(h)||(h=1)}F.autoTicks(l,h)}var m,v=l.dtick,y=F.tickIncrement(F.tickFirst(l),v,\"reverse\",i);if(\"number\"==typeof v)m=(y=function(t,e,r,n,i){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var h=0;h<e.length;h++)e[h]%1==0?l++:a(e[h])||c++,u(e[h])&&o++,u(e[h]+r.dtick/2)&&s++;var f=e.length-c;if(l===f&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*f&&(o>.3*f||u(n)||u(i))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for(\"M\"===l.dtick.charAt(0)&&(y=function(t,e,r,n,a){var i=s.findExactDates(e,a);if(i.exactDays>.8){var o=Number(r.substr(1));i.exactYears>.8&&o%12==0?t=F.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:i.exactMonths>.8?t=F.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=A;var l=F.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,i)),m=y,0;m<=u;)m=F.tickIncrement(m,v,!1,i);return{start:e.c2r(y,0,i),end:e.c2r(m,0,i),size:v,_dataSpan:u-c}},F.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?1.2*(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),\"array\"===t.tickmode&&(a*=100),t._roughDTick=(Math.abs(r[1]-r[0])-(t._lBreaks||0))/a,F.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),$(t)},F.calcTicks=function(t,e){F.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"array\"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),a=U(s.simpleMap(t.range,t.r2l)),i=Math.min(a[0],a[1]),o=Math.max(a[0],a[1]),l=0;Array.isArray(r)||(r=[]);var c=\"category\"===t.type?t.d2l_noadd:t.d2l;\"log\"===t.type&&\"L\"!==String(t.dtick).charAt(0)&&(t.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var h=c(e[u]);h>i&&h<o&&(void 0===r[u]?n[l]=F.tickText(t,h):n[l]=tt(t,h,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==P})));return n}(t);t._tmin=F.tickFirst(t,e);var n=U(r),i=n[0],o=n[1],l=r[1]<r[0];if(t._tmin<i!==l)return[];\"category\"!==t.type&&\"multicategory\"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var c,u=\"log\"===t.type&&!(a(t.dtick)||\"L\"===t.dtick.charAt(0));!function(){var e=null,r=Math.max(1e3,t._length||0);c=[];for(var n=t._tmin;(l?n>=o:n<=o)&&!(c.length>r||n===e);n=F.tickIncrement(n,t.dtick,l,t.calendar)){e=n;var a=!1;u&&n!==(0|n)&&(a=!0),c.push({minor:a,value:n})}}();var h=\"period\"===t.ticklabelmode;if(h&&c.unshift({minor:!1,value:F.tickIncrement(c[0].value,t.dtick,!l,t.caldendar)}),t.rangebreaks){var f=c.length;if(f){var p=0;\"auto\"===t.tickmode&&(p=(\"y\"===t._id.charAt(0)?2:6)*(t.tickfont?t.tickfont.size:12));for(var d,E=[],C=l?1:-1,L=l?f-1:0,I=l?0:f-1;C*I<=C*L;I+=C){var z=c[I];if(t.maskBreaks(z.value)!==P||(z.value=vt(z.value,t),!t._rl||t._rl[0]!==z.value&&t._rl[1]!==z.value)){var O=t.c2p(z.value);O===d?E[E.length-1].value<z.value&&(E[E.length-1]=z):(void 0===d||Math.abs(O-d)>p)&&(d=O,E.push(z))}}c=E.reverse()}}mt(t)&&360===Math.abs(r[1]-r[0])&&c.pop(),t._tmax=(c[c.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var D,R=Math.min(r[0],r[1]),B=Math.max(r[0],r[1]),N=F.getTickFormat(t);h&&N&&(/%[fLQsSMX]/.test(N)||(/%[HI]/.test(N)?D=S:/%p/.test(N)?D=A:/%[Aadejuwx]/.test(N)?D=M:/%[UVW]/.test(N)?D=k:/%[Bbm]/.test(N)?D=w:/%[q]/.test(N)?D=x:/%[Yy]/.test(N)&&(D=m)));var j,V,q=[];for(j=0;j<c.length;j++){var H=c[j].minor,G=c[j].value,Y=F.tickText(t,G,!1,H);h&&V===Y.text||(V=Y.text,q.push(Y))}if(h){var W=!1;for(j=0;j<q.length;j++){var Z=q[j].x,X=j,J=j+1;j<q.length-1?(X=j,J=j+1):j>0?(X=j-1,J=j):(X=j,J=j);var K=q[X].x,Q=q[J].x,$=Math.abs(Q-K),et=D||$,rt=0;if(et>=v?rt=$>=v&&$<=g?$:m:D===x&&et>=b?rt=$>=b&&$<=y?$:x:et>=T?rt=$>=T&&$<=_?$:w:D===k&&et>=k?rt=k:et>=M?rt=M:D===A&&et>=A?rt=A:D===S&&et>=S&&(rt=S),rt&&t.rangebreaks){for(var nt=0,at=0,it=0;it<42;it++){var ot=it/42;t.maskBreaks(K*(1-ot)+Q*ot)!==P&&(ot<.5?nt++:at++)}at&&(rt*=(nt+at)/42)}rt<=$&&(Z+=rt/2),q[j].periodX=Z,(Z>B||Z<R)&&(q[j].text=\" \",W=!0)}if(W)for(j=0;j<q.length;j++)if(q[j].periodX<=B&&q[j].periodX>=R){t._prevDateHead=\"\",q[j].text=F.tickText(t,q[j].x).text;break}}return t._inCalcTicks=!1,q};var G=[2,5,10],Y=[1,2,3,6,12],W=[1,2,5,10,15,30],Z=[1,2,3,7,14],X=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],J=[-.301,0,.301,.699,1],K=[15,30,45,90,180];function Q(t,e,r){return e*s.roundUp(t/e,r)}function $(t){var e=t.dtick;if(t._tickexponent=0,a(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(\"M\"===String(e).charAt(0))i>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&i<=10||e>=15*M)t._tickround=\"d\";else if(e>=E&&i<=16||e>=S)t._tickround=\"M\";else if(e>=C&&i<=19||e>=E)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(i,o)-20,t._tickround<0&&(t._tickround=4)}}else if(a(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);a(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01);Math.abs(c)>3&&(rt(t.exponentformat)&&!nt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function tt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar);var i=2*e;if(i>m)e/=m,r=n(10),t.dtick=\"M\"+12*Q(e,r,G);else if(i>w)e/=w,t.dtick=\"M\"+Q(e,1,Y);else if(i>M){t.dtick=Q(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:Z),t.tick0=s.dateTick0(t.calendar,!0);var o=F.getTickFormat(t);if(/%[uVW]/.test(o)){var l=t.tick0.length,c=+t.tick0[l-1];t.tick0=t.tick0.substring(0,l-2)+String(c+1)}}else i>S?t.dtick=Q(e,S,Y):i>E?t.dtick=Q(e,E,W):i>C?t.dtick=Q(e,C,W):(r=n(10),t.dtick=Q(e,r,G))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var h=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/h,r=n(10),t.dtick=\"L\"+Q(e,r,G)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):mt(t)?(t.tick0=0,r=1,t.dtick=Q(e,r,K)):(t.tick0=0,r=n(10),t.dtick=Q(e,r,G));if(0===t.dtick&&(t.dtick=1),!a(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},F.tickIncrement=function(t,e,r,i){var o=r?-1:1;if(a(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,i);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?J:X,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,i=s.simpleMap(t.range,r,void 0,void 0,e),o=i[1]<i[0],l=o?Math.floor:Math.ceil,c=U(i)[0],u=t.dtick,h=r(t.tick0);if(a(u)){var f=l((c-h)/u)*u+h;return\"category\"!==t.type&&\"multicategory\"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?J:X,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},F.tickText=function(t,e,r,n){var i,o=tt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,h=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(i=0;i<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[i]))<p);i++);if(i<t.ticktext.length)return o.text=String(t.ticktext[i]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var a={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==a}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var i=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(i=a(i)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var l,c=s.formatDate(e.x,o,i,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));l&&(r?\"d\"===i?c+=\", \"+l:c=l+(c?\", \"+c:\"\"):t._inCalcTicks&&l===t._prevDateHead||(c+=\"<br>\"+l,t._prevDateHead=l));e.text=c}(t,o,r,c):\"log\"===u?function(t,e,r,n,i){var o=t.dtick,l=e.x,c=t.tickformat,u=\"string\"==typeof o&&o.charAt(0);\"never\"===i&&(i=\"\");n&&\"L\"!==u&&(o=\"L3\",u=\"L\");if(c||\"L\"===u)e.text=at(Math.pow(10,l),t,i,n);else if(a(o)||\"D\"===u&&s.mod(l+.01,1)<.1){var h=Math.round(l),f=Math.abs(h),p=t.exponentformat;\"power\"===p||rt(p)&&nt(h)?(e.text=0===h?1:1===h?\"10\":\"10<sup>\"+(h>1?\"\":L)+f+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&f>2?e.text=\"1\"+p+(h>0?\"+\":L)+f:(e.text=at(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==u)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,g):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 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v=m[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=F.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,M=F.makeTransFn(e),A=\"period\"===e.ticklabelmode?F.makeTransPeriodFn(e):F.makeTransFn(e);if(\"boundaries\"===e.tickson){var S=function(t,e){var r,n=[],a=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)a(e[r],0);a(e[r-1],1)}return n}(0,b);k=F.clipEnds(e,S),T=\"inside\"===e.ticks?k:S}else k=F.clipEnds(e,b),T=\"inside\"===e.ticks?k:b;var E=e._gridVals=k,C=function(t,e){var r,n,a=[],i=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&a.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,i?1:0),n=l.text2}o(e[r-1],i?0:1)}return 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n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,a.isArrayOrTypedArray(o[0])&&a.isArrayOrTypedArray(o[1]))?\"multicategory\":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),i=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,a.isDateTime(c,e)&&(i+=1),n(c)&&(o+=1))}return i>2*o}(t,e)?\"date\":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,\"boolean\"==typeof l?n++:a.cleanNumber(l)!==i?r++:\"string\"==typeof l&&n++)}return n>2*r}(t)?\"category\":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?\"linear\":\"-\";var o}},{\"../../constants/numerical\":724,\"../../lib\":749,\"fast-isnumeric\":241}],799:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var 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r=t.substr(1).replace(/^0+/,\"\");return\"1\"===r&&(r=\"\"),t.charAt(0)+r}},r.list=function(t,e,n){var a=t._fullLayout;if(!a)return[];var i,o=r.listIds(t,e),s=new Array(o.length);for(i=0;i<o.length;i++){var l=o[i];s[i]=a[l.charAt(0)+\"axis\"+l.substr(1)]}if(!n){var c=a._subplots.gl3d||[];for(i=0;i<c.length;i++){var u=a[c[i]];e?s.push(u[e+\"axis\"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+\"axis\"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var a=t._fullLayout;return\"x\"===n?e=e.replace(/y[0-9]*/,\"\"):\"y\"===n&&(e=e.replace(/x[0-9]*/,\"\")),a[r.id2name(e)]},r.getFromTrace=function(t,e,a){var i=t._fullLayout,o=null;if(n.traceIs(e,\"gl3d\")){var s=e.scene;\"scene\"===s.substr(0,5)&&(o=i[s][a+\"axis\"])}else o=r.getFromId(t,e[a+\"axis\"]||a);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e}},{\"../../registry\":880,\"./constants\":803}],801:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var a,i=t.categoryarray,o=Array.isArray(i)&&i.length>0;o&&(a=\"array\");var s,l=r(\"categoryorder\",a);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,a,i=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[i+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][i];for(a=0;a<l.length;a++){var c=l[a];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category 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r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return 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e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],808:[function(t,e,r){\"use strict\";function n(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:n,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return n(t,r[e])}},getTransform:function(t){return\"translate(\"+t.xaxis._offset+\",\"+t.yaxis._offset+\")\"}}},{}],809:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports=function(t){return function(e,r){var i=e[t];if(Array.isArray(i))for(var o=n.subplotsRegistry.cartesian,s=o.idRegex,l=r._subplots,c=l.xaxis,u=l.yaxis,h=l.cartesian,f=r._has(\"cartesian\")||r._has(\"gl2d\"),p=0;p<i.length;p++){var d=i[p];if(a.isPlainObject(d)){var 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T=e.plot.selectAll(\"g.mlayer\").data(m,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var a=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,a,i,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(a,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=a.getModule(\"scattergl\"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function g(t,e){var r=e.plotgroup,n=e.id,a=u.layerValue2layerClass[e.xaxis.layer],i=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,\"path\",h),f(s.overlinesBelow,\"path\",d),f(s.overaxesBelow,\"g\",h),f(s.overaxesBelow,\"g\",d),e.plot=f(s.overplot,\"g\",n),f(s.overlinesAbove,\"path\",h),f(s.overlinesAbove,\"path\",d),f(s.overaxesAbove,\"g\",h),f(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+a).select(\".\"+h),e.ylines=l.select(\".overlines-\"+i).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+a).select(\".\"+h),e.yaxislayer=l.select(\".overaxes-\"+i).select(\".\"+d)}else if(o)e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.xaxislayer=f(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=f(r,\"g\",\"yaxislayer-above\");else{var g=f(r,\"g\",\"layer-subplot\");e.shapelayer=f(g,\"g\",\"shapelayer\"),e.imagelayer=f(g,\"g\",\"imagelayer\"),e.gridlayer=f(r,\"g\",\"gridlayer\"),e.zerolinelayer=f(r,\"g\",\"zerolinelayer\"),f(r,\"path\",\"xlines-below\"),f(r,\"path\",\"ylines-below\"),e.overlinesBelow=f(r,\"g\",\"overlines-below\"),f(r,\"g\",\"xaxislayer-below\"),f(r,\"g\",\"yaxislayer-below\"),e.overaxesBelow=f(r,\"g\",\"overaxes-below\"),e.plot=f(r,\"g\",\"plot\"),e.overplot=f(r,\"g\",\"overplot\"),e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.overlinesAbove=f(r,\"g\",\"overlines-above\"),f(r,\"g\",\"xaxislayer-above\"),f(r,\"g\",\"yaxislayer-above\"),e.overaxesAbove=f(r,\"g\",\"overaxes-above\"),e.xlines=r.select(\".xlines-\"+a),e.ylines=r.select(\".ylines-\"+i),e.xaxislayer=r.select(\".xaxislayer-\"+a),e.yaxislayer=r.select(\".yaxislayer-\"+i)}o||(p(e.gridlayer,\"g\",e.xaxis._id),p(e.gridlayer,\"g\",e.yaxis._id),e.gridlayer.selectAll(\"g\").map((function(t){return 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},w.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"./constants\"),o=t(\"../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};(e.exports=o({domain:a({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(i.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(i.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:i.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:i.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:i.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:i.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":614,\"../../plot_api/edit_types\":780,\"../domain\":824,\"./constants\":827}],831:[function(t,e,r){\"use 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v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":803,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460}],836:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":772,\"../cartesian/axes\":797}],837:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../plot_api/edit_types\":780,\"../cartesian\":810,\"../cartesian/attributes\":795,\"../cartesian/constants\":803,\"../get_data\":834,\"../layout_attributes\":851,\"./scene2d\":838}],838:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":633,\"../../components/fx\":655,\"../../lib/show_no_webgl_msg\":770,\"../../plots/cartesian/axes\":797,\"../../registry\":880,\"../cartesian/autorange\":796,\"../cartesian/constants\":803,\"../cartesian/constraints\":804,\"./camera\":835,\"./convert\":836,\"gl-plot2d\":298,\"gl-select-box\":310,\"gl-spikes2d\":319,\"webgl-context\":578}],839:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../lib\":749,\"../../plot_api/edit_types\":780,\"../get_data\":834,\"./layout/attributes\":840,\"./layout/defaults\":844,\"./layout/layout_attributes\":845,\"./scene\":849}],840:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],841:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":615,\"../../../lib/extend\":739,\"../../../plot_api/edit_types\":780,\"../../cartesian/layout_attributes\":811}],842:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":749,\"../../../plot_api/plot_template\":787,\"../../cartesian/axis_defaults\":799,\"../../cartesian/type_defaults\":822,\"./axis_attributes\":841,tinycolor2:548}],843:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":749,\"../../../lib/str2rgbarray\":772}],844:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":615,\"../../../lib\":749,\"../../../registry\":880,\"../../get_data\":834,\"../../subplot_defaults\":874,\"./axis_defaults\":842,\"./layout_attributes\":845}],845:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":749,\"../../../lib/extend\":739,\"../../domain\":824,\"./axis_attributes\":841}],846:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":772}],847:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":749,\"../../cartesian/axes\":797}],848:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],849:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in y?(y[l].acc*=f[i],y[l].count+=1):y[l]={acc:f[i],count:1},s.autorange){m[0][i]=1/0,m[1][i]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][i]=Math.min(m[0][i],s._lowerLogErrorBound):m[0][i]=Math.min(m[0][i],M[0][i]/f[i]-A),m[1][i]=Math.max(m[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][i]=Math.min(m[0][i],E),m[1][i]=Math.max(m[1][i],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][i]=Math.min(m[0][i],0),m[1][i]=Math.max(m[1][i],0)),m[0][i]>m[1][i])m[0][i]=-1,m[1][i]=1;else{var C=m[1][i]-m[0][i];m[0][i]-=C/32,m[1][i]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][i];m[0][i]=m[1][i],m[1][i]=L}}else{var P=s.range;m[0][i]=s.r2l(P[0]),m[1][i]=s.r2l(P[1])}m[0][i]===m[1][i]&&(m[0][i]-=1,m[1][i]+=1),v[i]=m[1][i]-m[0][i],this.glplot.setBounds(i,{min:m[0][i]*f[i],max:m[1][i]*f[i]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(i=0;i<3;++i){var D=y[l=(s=c[T[i]]).type];O[i]=Math.pow(D.acc,1/D.count)/f[i]}g=\"data\"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],851:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),a=t(\"./animation_attributes\"),i=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, 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strict\";var n={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:'<a href=\"http://www.openstreetmap.org/about/\" target=\"_blank\">\\xa9 OpenStreetMap</a>',tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:'Map tiles by <a href=\"http://stamen.com\">Stamen Design</a>, under <a href=\"http://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a> | Data by <a href=\"http://openstreetmap.org\">OpenStreetMap</a>, under <a 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n=t(\"../../lib\"),a=t(\"../../lib/svg_text_utils\").sanitizeHTML,i=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var 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n=t(\"mapbox-gl\"),a=t(\"../../lib\"),i=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,a=this,i=e[a.id];a.map&&i.accesstoken!==a.accessToken&&(a.map.remove(),a.map=null,a.styleObj=null,a.traceHash={},a.layerList=[]),n=a.map?new Promise((function(r,n){a.updateMap(t,e,r,n)})):new Promise((function(r,n){a.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,a){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(a),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(i.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(a)},_.updateMap=function(t,e,r,n){var a=this,o=a.map,s=e[this.id];a.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(a.styleObj)!==JSON.stringify(c)&&(a.styleObj=c,o.setStyle(c.style),a.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(i.fetchTraceGeoData(t)),Promise.all(l).then((function(){a.fillBelowLookup(t,e),a.updateData(t),a.updateLayout(e),a.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,a=e[this.id].layers,i=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),i[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<a.length;r++){var c=a[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",i[\"layout-\"+r]=n}var u,h,f={};for(u in i)f[n=i[u]]?f[n].push(u):f[n]=[u];for(n in f){var 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s=o[n],l=!1;(e=i[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(i[r.uid]=r._module.plot(this,s))}var c=Object.keys(i);t:for(n=0;n<c.length;n++){var u=c[n];for(a=0;a<t.length;a++)if(u===(r=t[a][0].trace).uid)continue t;(e=i[u]).dispose(),delete i[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(M(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new 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u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, 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n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark 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arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":717,\"../../../lib\":749,d3:169}],870:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":615,\"../../../lib\":749,\"./micropolar\":869,\"./undo_manager\":871,d3:169}],871:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],872:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a[\"angular-axis\"].selectAll(\".\"+p._id+\"tick\").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if(\"linear\"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,\"category\"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _=\"inside\"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a[\"angular-axis\"],path:\"M\"+_*w+\",0h\"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a[\"angular-grid\"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[c+l*r,h-l*n]+\"L\"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(a[\"angular-line\"].select(\"path\"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,\"path\",\"maindrag\",\"crosshair\");n.select(I).attr(\"d\",e.pathSubplot()).attr(\"transform\",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return\"M\"+W(s,a)+\"A\"+[s,s]+\" 0,0,0 \"+W(s,i)+\"L\"+W(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+W(l,a)+\"Z\"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var a,i,o=W(t,r),s=W(t,n),l=S((o[0]+s[0])/2),c=S((o[1]+s[1])/2);if(l&&c){var u=c/l,h=-1/u,f=E(L,u,l,c);a=E(P,h,f[0][0],f[0][1]),i=E(P,h,f[1][0],f[1][1])}else{var p,d;c?(p=P,d=L):(p=L,d=P),a=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+a.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function J(t,e){return e=Math.max(Math.min(e,u),h),t<c?t=0:u-t<c?t=u:e<c?e=0:u-e<c&&(e=u),Math.abs(e-t)>l?(t<e?(D=t,F=e):(D=e,F=t),!0):(D=null,F=null,!1)}function K(t,e){t=t||B,e=e||\"M0,0Z\",U.attr(\"d\",t),V.attr(\"d\",e),d.transitionZoombox(U,V,N,j),N=!0;var n={};rt(n),r.emit(\"plotly_relayouting\",n)}function Q(t,r){var n,a,i=z+t,o=O+r,s=G(z,O),l=Math.min(G(i,o),u),c=Y(z,O);J(s,l)&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),a=Z(D,c)+Z(F,c)),K(n,a)}function $(t,e,r,n){var a=A.findIntersectionXY(r,n,r,[t-v,_-e]);return H(a[0],a[1])}function tt(t,r){var 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var 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h=r(\"hoveron\");\"all\"!==h&&-1===h.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,a){function o(r,a){return n.coerce(t,e,l,r,a)}if(c(t,e,o,a),!1!==e.visible){var s=e._hasPreCompStats;s&&(o(\"lowerfence\"),o(\"upperfence\")),o(\"line.color\",(t.marker||{}).color||r),o(\"line.width\"),o(\"fillcolor\",i.addOpacity(e.line.color,.5));var h=!1;if(s){var f=o(\"mean\"),p=o(\"sd\");f&&f.length&&(h=!0,p&&p.length&&(h=\"sd\"))}o(\"boxmean\",h),o(\"whiskerwidth\"),o(\"width\"),o(\"quartilemethod\");var d=!1;if(s){var g=o(\"notchspan\");g&&g.length&&(d=!0)}else n.validate(t.notchwidth,l.notchwidth)&&(d=!0);o(\"notched\",d)&&o(\"notchwidth\"),u(t,e,o,{prefix:\"box\"})}},crossTraceDefaults:function(t,e){var r,a;function i(t){return n.coerce(a._input,a,l,t)}for(var s=0;s<t.length;s++){var 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N={},j=[\"med\",\"q1\",\"q3\",\"min\",\"max\"];(M.boxmean||(M.meanline||{}).visible)&&j.push(\"mean\"),(M.boxpoints||M.points)&&j.push(\"lf\",\"uf\");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var q=D[V],H=h.c2p(q,!0),G=a.extendFlat({},t);G.attr=V,G[c+\"0\"]=G[c+\"1\"]=H,G[c+\"LabelVal\"]=q,G[c+\"Label\"]=(A.labels?A.labels[V]+\" \":\"\")+n.hoverLabelText(h,q),G.hoverOnBox=!0,\"mean\"===V&&\"sd\"in D&&\"sd\"===M.boxmean&&(G[c+\"err\"]=D.sd),t.name=\"\",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),g=i.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),m=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var 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o,s,l=\"h\"===r.orientation,c=e.val,u=e.pos,h=!!u.rangebreaks,f=i.bPos,p=i.wdPos||0,d=i.bPosPxOffset||0,g=r.whiskerwidth||0,m=r.notched||!1,v=m?1-2*r.notchwidth:1;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var y=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?a.identity:[]);y.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),y.exit().remove(),y.each((function(t){if(t.empty)return\"M0,0Z\";var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=h?(i+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=h?i*b+(1-b)*x:u.l2p(e-p)+d,w=h?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,M=c.c2p(t.q1,!0),A=c.c2p(t.q3,!0),S=a.constrain(c.c2p(t.med,!0),Math.min(M,A)+1,Math.max(M,A)-1),E=void 0===t.lf||!1===r.boxpoints,C=c.c2p(E?t.min:t.lf,!0),L=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+M+\",\"+i+\"V\"+y+(m?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+I+\",\"+y:\"\")+\"H\"+A+\"V\"+i+(m?\"H\"+I+\"L\"+S+\",\"+T+\"L\"+P+\",\"+i:\"\")+\"ZM\"+M+\",\"+x+\"H\"+C+\"M\"+A+\",\"+x+\"H\"+L+(0===g?\"\":\"M\"+C+\",\"+_+\"V\"+w+\"M\"+L+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+i+\",\"+M+\"H\"+y+(m?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+y+\",\"+I:\"\")+\"V\"+A+\"H\"+i+(m?\"V\"+I+\"L\"+T+\",\"+S+\"L\"+i+\",\"+P:\"\")+\"ZM\"+x+\",\"+M+\"V\"+C+\"M\"+x+\",\"+A+\"V\"+L+(0===g?\"\":\"M\"+_+\",\"+C+\"H\"+w+\"M\"+_+\",\"+L+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;a.seedPseudoRandom();var h=t.selectAll(\"g.points\").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);h.enter().append(\"g\").attr(\"class\",\"points\"),h.exit().remove();var f=h.selectAll(\"path\").data((function(t){var e,n,i=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(i.length),e=0;e<i.length;e++)f[e]=1;else for(e=0;e<i.length;e++){var d=Math.max(0,e-5),g=i[d].v,m=Math.min(i.length-1,e+5),v=i[m].v;\"all\"!==u&&(i[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=a.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<i.length;e++){var x=i[e],b=x.v,_=r.jitter?n*f[e]*(a.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return i}));f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i.translatePoints,o,s)}function l(t,e,r,i){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,h=i.bPos,f=i.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?a.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+h,!0),a=c.l2p(e-o)+f,i=c.l2p(e+s)+f,d=u?(a+i)/2:c.l2p(e)+f,g=l.c2p(t.mean,!0),m=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+g+\",\"+a+\"V\"+i+(\"sd\"===p?\"m0,0L\"+m+\",\"+d+\"L\"+g+\",\"+a+\"L\"+v+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+a+\",\"+g+\"H\"+i+(\"sd\"===p?\"m0,0L\"+d+\",\"+m+\"L\"+a+\",\"+g+\"L\"+d+\",\"+v+\"Z\":\"\"))}))}e.exports={plot:function(t,e,r,i){var c=e.xaxis,u=e.yaxis;a.makeTraceGroups(i,r,\"trace 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n=t(\"d3\");e.exports=function(t){n.select(t).selectAll(\".im image\").style(\"opacity\",(function(t){return t[0].trace.opacity}))}},{d3:169}],1084:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,a=t(\"../../lib/extend\").extendDeep,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../constants/delta.js\"),f=(t(\"../../constants/docs\").FORMAT_LINK,o({editType:\"plot\",colorEditType:\"plot\"})),p={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},d={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},g=u(\"step\",a({},p,{range:d}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:n({},f,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:n({},f,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\"},increasing:{symbol:{valType:\"string\",dflt:h.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:h.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:n({},f,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:a({},p,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:i({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\"plot\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":614,\"../../constants/delta.js\":718,\"../../constants/docs\":719,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1085:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../../plot_api/plot_template\"),s=t(\"../../plots/array_container_defaults\"),l=t(\"./constants.js\"),c=t(\"../../plots/cartesian/tick_value_defaults\"),u=t(\"../../plots/cartesian/tick_mark_defaults\"),h=t(\"../../plots/cartesian/tick_label_defaults\");function f(t,e){function r(r,i){return n.coerce(t,e,a.gauge.steps,r,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}i(e,p,d),d(\"mode\"),e._hasNumber=-1!==e.mode.indexOf(\"number\"),e._hasDelta=-1!==e.mode.indexOf(\"delta\"),e._hasGauge=-1!==e.mode.indexOf(\"gauge\");var g=d(\"value\");e._range=[0,\"number\"==typeof g?1.5*g:1];var m,v,y,x,b,_,w=new Array(2);function T(t,e){return n.coerce(y,x,a.gauge,t,e)}function k(t,e){return 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h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function T(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||\"center\";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),C=[];f._hasNumber&&C.push(\"number\");f._hasDelta&&(C.push(\"delta\"),\"left\"===f.delta.position&&C.reverse());var L=E.selectAll(\"text\").data(C);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(v)||r(a).slice(-1).match(v))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append(\"text\"),L.attr(\"text-anchor\",(function(){return M})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return O(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:k,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return O(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:k,transFn:c,labelFns:I})}var R=[m].concat(f.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(x),F.exit().remove();var B=C(f.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return z?g.right:g[C.title.align]})).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr(\"transform\",(function(){var t,e=D.l+D.w*m[C.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(I)if(C.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=C._numbersTop-r-n.bottom;return _(e,t)}))}))}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../constants/alignment\":717,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/cartesian/axes\":797,\"../../plots/cartesian/axis_defaults\":799,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/cartesian/position_defaults\":814,\"./constants\":1087,d3:169}],1091:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:i.opacity,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../mesh3d/attributes\":1096}],1092:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),a=t(\"../streamtube/calc\").processGrid,i=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=i(e.x,e._len),e._y=i(e.y,e._len),e._z=i(e.z,e._len),e._value=i(e.value,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},a.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:i({editType:\"calc\"}),tickfont:i({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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s=o[0];a(t,s,r,i)}},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcats\"),i=e._has&&e._has(\"parcats\");a&&!i&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":834,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,g,m=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},a=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(a(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=h(S,E.color,E.rawColor)),f(M[C],x,d)}var L,P=r.map((function(t,e){return function(t,e,r,n,a){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:a,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,z=m[b].inds[x],O=P[b].categories;if(void 0===O[z]){var D=e.dimensions[I]._categoryarray[z],R=e.dimensions[I]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,M,g))}},{\"../../components/colorscale/calc\":623,\"../../components/colorscale/helpers\":626,\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/filter_unique.js\":740,\"../../lib/gup\":746,\"fast-isnumeric\":241}],1113:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,a){return n.coerce(t,e,l.dimensions,r,a)}var a=r(\"values\"),i=r(\"visible\");if(a&&a.length||(i=e.visible=!1),i){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,h){function f(r,a){return n.coerce(t,e,l,r,a)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,h,f);o(e,h,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),f(\"hoveron\"),f(\"hovertemplate\"),f(\"arrangement\"),f(\"bundlecolors\"),f(\"sortpaths\"),f(\"counts\");var g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,\"labelfont\",g);var m={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/domain\":824,\"../parcoords/merge_length\":1126,\"./attributes\":1110}],1114:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1110,\"./base_plot\":1111,\"./calc\":1112,\"./defaults\":1113,\"./plot\":1116}],1115:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plot_api/plot_api\"),i=t(\"../../components/fx\"),o=t(\"../../lib\"),s=t(\"../../components/drawing\"),l=t(\"tinycolor2\"),c=t(\"../../lib/svg_text_utils\");function u(t,e,r,a){var i=t.map(D.bind(0,e,r)),l=a.selectAll(\"g.parcatslayer\").data([null]);l.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=l.selectAll(\"g.trace.parcats\").data(i,h),m=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", \"+t.y+\")\"})),m.append(\"g\").attr(\"class\",\"paths\");var v=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);v.attr(\"fill\",(function(t){return t.model.color}));var b=v.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);x(b),v.attr(\"d\",(function(t){return t.svgD})),b.empty()||v.sort(p),v.exit().remove(),v.on(\"mouseover\",d).on(\"mouseout\",g).on(\"click\",y),m.append(\"g\").attr(\"class\",\"dimensions\");var T=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);T.enter().append(\"g\").attr(\"class\",\"dimension\"),T.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),T.exit().remove();var k=T.selectAll(\"g.category\").data((function(t){return t.categories}),h),M=k.enter().append(\"g\").attr(\"class\",\"category\");k.attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),k.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),_(M);var A=k.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);A.each((function(){o.raiseToTop(this)})),A.attr(\"fill\",(function(t){return t.color}));var I=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);A.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),w(I),A.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;k.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",z+\" -1px  1px 2px, \"+z+\" 1px  1px 2px, \"+z+\"  1px -1px 2px, \"+z+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return f(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),k.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),b(n.select(this));var e=m(t),r=v(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var a,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];a=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plot_api/plot_api\":784,d3:169,tinycolor2:548}],1116:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1115}],1117:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1118:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return 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T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":749,\"../../lib/gup\":746,\"./constants\":1121,d3:169}],1119:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":725,\"../../plots/get_data\":834,\"./plot\":1128,d3:169}],1120:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gup\":746}],1121:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../../plots/domain\":824,\"./attributes\":1117,\"./axisbrush\":1118,\"./constants\":1121,\"./merge_length\":1126}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":749}],1124:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1117,\"./base_plot\":1119,\"./calc\":1120,\"./defaults\":1122,\"./plot\":1128}],1125:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var 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t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(i));s[e].sort(n),l[e].filter((function(t){return!i(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":762,\"./helpers\":1123,\"./parcoords\":1127}],1129:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:a({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":614,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/domain\":824,\"../../plots/font_attributes\":825,\"../../plots/template_attributes\":875}],1130:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":860}],1131:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":615,\"fast-isnumeric\":241,tinycolor2:548}],1132:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":749,\"../../plots/domain\":824,\"../bar/defaults\":894,\"./attributes\":1129,\"fast-isnumeric\":241}],1133:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":651}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":749}],1135:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1129,\"./base_plot\":1130,\"./calc\":1131,\"./defaults\":1132,\"./layout_attributes\":1136,\"./layout_defaults\":1137,\"./plot\":1138,\"./style\":1139,\"./style_one\":1140}],1136:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1137:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":749,\"./layout_attributes\":1136}],1138:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(g,p),x&&p.automargin){var w=s.bBox(u.node()),T=p.domain,k=i.w*(T.x[1]-T.x[0]),M=i.h*(T.y[1]-T.y[0]),A=(.5*k-f.r)/i.w,C=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:T.x[0]-A,xr:T.x[1]+A,yb:T.y[0]-C,yt:T.y[1]+C,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}}))}));setTimeout((function(){u.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:v,computeTransform:O}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/plots\":860,\"../bar/constants\":892,\"../bar/uniform_text\":906,\"./event_data\":1133,\"./helpers\":1134,d3:169}],1139:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":906,\"./style_one\":1140,d3:169}],1140:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":615,\"./helpers\":1134}],1141:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1155}],1142:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),k(t.filter(B(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),k(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],a=0;a<t.graph.nodes.length;a++){var i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}v.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var f=t._fullLayout._dragCover,m=r.filter((function(t){return g(t).trace.visible})).map(y.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(m,p);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",S),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",S);var T=v.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);T.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=T.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(x.bind(null,t))}),p);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(O,v,c.linkEvents),k.style(\"stroke\",(function(t){return A(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return A(t)?t.linkLineWidth:1})).attr(\"d\",b()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||f?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var R=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(d,p);R.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(_.bind(null,t))}),p);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(w).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(O,v,c.nodeEvents).call(D,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(w).style(\"opacity\",(function(t){return 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i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1182}],1187:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155}],1189:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":749,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/line_shape_defaults\":1170,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1188}],1191:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1192:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1193:[function(t,e,r){\"use 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strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/marker_colorbar\":1173,\"../scatter/select\":1176,\"../scatter/style\":1178,\"./attributes\":1188,\"./calc\":1189,\"./defaults\":1190,\"./event_data\":1191,\"./format_labels\":1192,\"./hover\":1193,\"./plot\":1195}],1195:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":637,\"../../plots/cartesian/axes\":797,\"../scatter/plot\":1175}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}var f,p=h(\"locations\");if(p&&p.length){var d,g=h(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",d)&&h(\"featureidkey\"),f=p.length}else{var m=h(\"lon\")||[],v=h(\"lat\")||[];f=Math.min(m.length,v.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":749,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1196}],1199:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1200:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":655,\"../../constants/numerical\":724,\"../../lib\":749,\"../scatter/get_trace_color\":1165,\"./attributes\":1196}],1202:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../scatter/attributes\":1155,\"./constants\":1208}],1207:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,m=0,v=0;m<h;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-a.c2l(T),p[v+u[1]]=a.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":637,\"../../components/fx/helpers\":651,\"../../constants/interactions\":723,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../plots/cartesian/axis_ids\":800,\"../../registry\":880,\"../scatter/make_bubble_size_func\":1172,\"../scatter/subtypes\":1179,\"./constants\":1208,\"./helpers\":1213,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":546}],1210:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var m=!!t.marker&&i.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",m||v?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"../scatter/xy_defaults\":1181,\"./attributes\":1206,\"./helpers\":1213}],1211:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":615,\"../../constants/interactions\":723,\"../../lib\":749}],1212:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1164}],1213:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1208}],1214:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?k.text=f.htx:f.tx?k.text=f.tx:o.text&&(k.text=o.text),a.fillText(f,o,k),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,k),k}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/get_trace_color\":1165}],1215:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/cross_trace_defaults\":1161,\"../scatter/marker_colorbar\":1173,\"./attributes\":1206,\"./calc\":1207,\"./defaults\":1210,\"./format_labels\":1212,\"./hover\":1214,\"./plot\":1216,\"./select\":1218}],1216:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(T.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,P=L.index,I=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=L.xpx=new Array(I),N=L.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":633,\"../../lib\":749,\"../../lib/prepare_regl\":762,\"../scatter/link_traces\":1171,\"../scatter/subtypes\":1179,\"./edit_style\":1211,\"gl-text\":326,\"regl-error2d\":508,\"regl-line2d\":509,\"regl-scatter2d\":510}],1217:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/mapbox/layout_attributes\":856,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155,\"../scattergeo/attributes\":1196}],1220:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../bar/style\":904,\"../bar/uniform_text\":906,\"../pie/plot\":1138,\"./constants\":1269,\"./fx\":1271,\"./helpers\":1272,\"./style\":1277,d3:169,\"d3-hierarchy\":161}],1277:[function(t,e,r){\"use 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},a.zauto,{}),zmin:s({},a.zmin,{}),zmax:s({},a.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":615,\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875}],1279:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1280:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var a=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},p.getYat=function(t,e,r,n){var a=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},p.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<d.length;i++)a*=Math.pow(d[i],Math.max(r[i],n[i]));return a}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var a=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(a,[l,c],n),t.set(l,c,i(e,a[0],a[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],i=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+i+1,u=a(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f<t.length;++f){this.surface.padField(u,t[f]);var p=a(new Float32Array(o*s),[o,s]);T(p,u,h),t[f]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,i,l=this.scene,f=l.fullSceneLayout,p=this.surface,d=t.opacity,g=c(t,d),m=l.dataScale,v=t.z[0].length,y=t._ylength,x=l.contourLevels;this.data=t;var b=[];for(e=0;e<3;e++)for(b[e]=[],r=0;r<v;r++)b[e][r]=[];for(r=0;r<v;r++)for(n=0;n<y;n++)b[0][r][n]=this.getXat(r,n,t.xcalendar,f.xaxis),b[1][r][n]=this.getYat(r,n,t.ycalendar,f.yaxis),b[2][r][n]=this.getZat(r,n,t.zcalendar,f.zaxis);if(t.connectgaps)for(t._emptypoints=s(b[2]),o(b[2],t._emptypoints),t._interpolatedZ=[],r=0;r<v;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=b[2][r][n];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null==(i=b[e][r][n])?b[e][r][n]=NaN:i=b[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(b[e][r][n]-=this.objectOffset[e]);var w=[a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y])];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)w[e].set(r,n,b[e][r][n]);b=[];var T={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},k=h(t);if(T.intensityBounds=[k.min,k.max],t.surfacecolor){var M=a(new Float32Array(v*y),[v,y]);for(r=0;r<v;r++)for(n=0;n<y;n++)M.set(r,n,t.surfacecolor[n][r]);w.push(M)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(_<w[0].shape[0]||_<w[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&&(T.intensity=w.pop());var A=[!0,!0,!0],S=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var E=t.contours[S[e]];A[e]=E.highlight,T.showContour[e]=E.show||E.highlight,T.showContour[e]&&(T.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,T.levels[e]=x[e],p.highlightColor[e]=T.contourColor[e]=u(E.color),E.usecolormap?p.highlightTint[e]=T.contourTint[e]=0:p.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=E.width,this.contourStart[e]=E.start,this.contourEnd[e]=E.end,this.contourSize[e]=E.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),E.highlight&&(T.dynamicColor[e]=u(E.highlightcolor),T.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(g)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=w,p.update(T),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),d&&d<1&&(p.supportsTransparency=!0)},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new f(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../heatmap/find_empties\":1040,\"../heatmap/interp2d\":1043,\"gl-surface3d\":325,ndarray:469,\"ndarray-linear-interpolate\":463}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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h={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(h).call(a.stroke,c.color),o.selectAll(\"path.meanline\").style(h).call(a.stroke,c.color),i(o,r,t)}))}},{\"../../components/color\":615,\"../scatter/style\":1178,d3:169}],1316:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../isosurface/attributes\"),i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:a.x,y:a.y,z:a.z,value:a.value,isomin:a.isomin,isomax:a.isomax,surface:a.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:a.slices,caps:a.caps,text:a.text,hovertext:a.hovertext,hovertemplate:a.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:a.colorbar,opacity:a.opacity,opacityscale:i.opacityscale,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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-          "2010-02-26T08:33:00-07:00",
-          "2010-02-26T08:34:00-07:00",
-          "2010-02-26T08:35:00-07:00",
-          "2010-02-26T08:36:00-07:00",
-          "2010-02-26T08:37:00-07:00",
-          "2010-02-26T08:38:00-07:00",
-          "2010-02-26T08:39:00-07:00",
-          "2010-02-26T08:40:00-07:00",
-          "2010-02-26T08:43:00-07:00",
-          "2010-02-26T08:44:00-07:00",
-          "2010-02-26T08:45:00-07:00",
-          "2010-02-26T08:46:00-07:00",
-          "2010-02-26T08:47:00-07:00",
-          "2010-02-26T08:48:00-07:00",
-          "2010-02-26T08:49:00-07:00",
-          "2010-02-26T08:50:00-07:00",
-          "2010-02-26T08:51:00-07:00",
-          "2010-02-26T08:52:00-07:00",
-          "2010-02-26T08:53:00-07:00",
-          "2010-02-26T08:54:00-07:00",
-          "2010-02-26T08:55:00-07:00",
-          "2010-02-26T08:56:00-07:00",
-          "2010-02-26T08:57:00-07:00",
-          "2010-02-26T08:58:00-07:00",
-          "2010-02-26T08:59:00-07:00",
-          "2010-02-26T09:00:00-07:00",
-          "2010-02-26T09:01:00-07:00",
-          "2010-02-26T09:02:00-07:00",
-          "2010-02-26T09:03:00-07:00",
-          "2010-02-26T09:04:00-07:00",
-          "2010-02-26T09:05:00-07:00",
-          "2010-02-26T09:06:00-07:00",
-          "2010-02-26T09:07:00-07:00",
-          "2010-02-26T09:08:00-07:00",
-          "2010-02-26T09:09:00-07:00",
-          "2010-02-26T09:10:00-07:00",
-          "2010-02-26T09:11:00-07:00",
-          "2010-02-26T09:12:00-07:00",
-          "2010-02-26T09:13:00-07:00",
-          "2010-02-26T09:14:00-07:00",
-          "2010-02-26T09:15:00-07:00",
-          "2010-02-26T09:16:00-07:00",
-          "2010-02-26T09:17:00-07:00",
-          "2010-02-26T09:18:00-07:00",
-          "2010-02-26T09:19:00-07:00",
-          "2010-02-26T09:20:00-07:00",
-          "2010-02-26T09:21:00-07:00",
-          "2010-02-26T09:22:00-07:00",
-          "2010-02-26T09:23:00-07:00",
-          "2010-02-26T09:24:00-07:00",
-          "2010-02-26T09:25:00-07:00",
-          "2010-02-26T09:26:00-07:00",
-          "2010-02-26T09:27:00-07:00",
-          "2010-02-26T09:28:00-07:00",
-          "2010-02-26T09:29:00-07:00",
-          "2010-02-26T09:30:00-07:00",
-          "2010-02-26T09:31:00-07:00",
-          "2010-02-26T09:32:00-07:00",
-          "2010-02-26T09:33:00-07:00",
-          "2010-02-26T09:34:00-07:00",
-          "2010-02-26T09:35:00-07:00",
-          "2010-02-26T09:36:00-07:00",
-          "2010-02-26T09:37:00-07:00",
-          "2010-02-26T09:38:00-07:00",
-          "2010-02-26T09:39:00-07:00",
-          "2010-02-26T09:40:00-07:00",
-          "2010-02-26T09:41:00-07:00",
-          "2010-02-26T09:42:00-07:00",
-          "2010-02-26T09:43:00-07:00",
-          "2010-02-26T09:44:00-07:00",
-          "2010-02-26T09:45:00-07:00",
-          "2010-02-26T09:46:00-07:00",
-          "2010-02-26T09:47:00-07:00",
-          "2010-02-26T09:48:00-07:00",
-          "2010-02-26T09:49:00-07:00",
-          "2010-02-26T09:50:00-07:00",
-          "2010-02-26T09:51:00-07:00",
-          "2010-02-26T09:52:00-07:00",
-          "2010-02-26T09:53:00-07:00",
-          "2010-02-26T09:54:00-07:00",
-          "2010-02-26T09:55:00-07:00",
-          "2010-02-26T09:56:00-07:00",
-          "2010-02-26T09:57:00-07:00",
-          "2010-02-26T09:58:00-07:00",
-          "2010-02-26T09:59:00-07:00",
-          "2010-02-26T10:00:00-07:00",
-          "2010-02-26T10:07:00-07:00",
-          "2010-02-26T10:09:00-07:00",
-          "2010-02-26T10:10:00-07:00",
-          "2010-02-26T10:11:00-07:00",
-          "2010-02-26T10:13:00-07:00",
-          "2010-02-26T10:15:00-07:00",
-          "2010-02-26T10:16:00-07:00",
-          "2010-02-26T10:17:00-07:00",
-          "2010-02-26T10:18:00-07:00",
-          "2010-02-26T10:19:00-07:00",
-          "2010-02-26T10:20:00-07:00",
-          "2010-02-26T10:31:00-07:00",
-          "2010-02-26T10:32:00-07:00",
-          "2010-02-26T10:36:00-07:00",
-          "2010-02-26T10:37:00-07:00",
-          "2010-02-26T10:39:00-07:00",
-          "2010-02-26T10:42:00-07:00",
-          "2010-02-26T10:43:00-07:00",
-          "2010-02-26T10:44:00-07:00",
-          "2010-02-26T10:45:00-07:00",
-          "2010-02-26T10:47:00-07:00",
-          "2010-02-26T10:49:00-07:00",
-          "2010-02-26T10:50:00-07:00",
-          "2010-02-26T10:52:00-07:00",
-          "2010-02-26T10:53:00-07:00",
-          "2010-02-26T10:54:00-07:00",
-          "2010-02-26T10:55:00-07:00",
-          "2010-02-26T10:56:00-07:00",
-          "2010-02-26T10:57:00-07:00",
-          "2010-02-26T10:59:00-07:00",
-          "2010-02-26T11:01:00-07:00",
-          "2010-02-26T11:02:00-07:00",
-          "2010-02-26T11:03:00-07:00",
-          "2010-02-26T11:04:00-07:00",
-          "2010-02-26T11:05:00-07:00",
-          "2010-02-26T11:06:00-07:00",
-          "2010-02-26T11:07:00-07:00",
-          "2010-02-26T11:08:00-07:00",
-          "2010-02-26T11:09:00-07:00",
-          "2010-02-26T11:11:00-07:00",
-          "2010-02-26T11:12:00-07:00",
-          "2010-02-26T11:14:00-07:00",
-          "2010-02-26T11:17:00-07:00",
-          "2010-02-26T11:18:00-07:00",
-          "2010-02-26T11:19:00-07:00",
-          "2010-02-26T11:20:00-07:00",
-          "2010-02-26T11:21:00-07:00",
-          "2010-02-26T11:23:00-07:00",
-          "2010-02-26T11:24:00-07:00",
-          "2010-02-26T11:25:00-07:00",
-          "2010-02-26T11:28:00-07:00",
-          "2010-02-26T11:32:00-07:00",
-          "2010-02-26T11:33:00-07:00",
-          "2010-02-26T11:34:00-07:00",
-          "2010-02-26T11:35:00-07:00",
-          "2010-02-26T11:37:00-07:00",
-          "2010-02-26T11:39:00-07:00",
-          "2010-02-26T11:40:00-07:00",
-          "2010-02-26T11:42:00-07:00",
-          "2010-02-26T11:43:00-07:00",
-          "2010-02-26T11:44:00-07:00",
-          "2010-02-26T11:45:00-07:00",
-          "2010-02-26T11:47:00-07:00",
-          "2010-02-26T11:48:00-07:00",
-          "2010-02-26T11:53:00-07:00",
-          "2010-02-26T11:58:00-07:00",
-          "2010-02-26T11:59:00-07:00",
-          "2010-02-26T12:00:00-07:00",
-          "2010-02-26T12:01:00-07:00",
-          "2010-02-26T12:02:00-07:00",
-          "2010-02-26T12:05:00-07:00",
-          "2010-02-26T12:06:00-07:00",
-          "2010-02-26T12:09:00-07:00",
-          "2010-02-26T12:10:00-07:00",
-          "2010-02-26T12:11:00-07:00",
-          "2010-02-26T12:12:00-07:00",
-          "2010-02-26T12:16:00-07:00",
-          "2010-02-26T12:17:00-07:00",
-          "2010-02-26T12:20:00-07:00",
-          "2010-02-26T12:29:00-07:00",
-          "2010-02-26T12:30:00-07:00",
-          "2010-02-26T12:33:00-07:00",
-          "2010-02-26T12:35:00-07:00",
-          "2010-02-26T12:42:00-07:00",
-          "2010-02-26T12:46:00-07:00",
-          "2010-02-26T12:47:00-07:00",
-          "2010-02-26T12:49:00-07:00",
-          "2010-02-26T12:51:00-07:00",
-          "2010-02-26T12:53:00-07:00",
-          "2010-02-26T12:57:00-07:00",
-          "2010-02-26T12:59:00-07:00",
-          "2010-02-26T13:00:00-07:00",
-          "2010-02-26T13:01:00-07:00",
-          "2010-02-26T13:02:00-07:00",
-          "2010-02-26T13:03:00-07:00",
-          "2010-02-26T13:08:00-07:00",
-          "2010-02-26T13:09:00-07:00",
-          "2010-02-26T13:12:00-07:00",
-          "2010-02-26T13:15:00-07:00",
-          "2010-02-26T13:17:00-07:00",
-          "2010-02-26T13:19:00-07:00",
-          "2010-02-26T13:21:00-07:00",
-          "2010-02-26T13:22:00-07:00",
-          "2010-02-26T13:24:00-07:00",
-          "2010-02-26T13:25:00-07:00",
-          "2010-02-26T13:26:00-07:00",
-          "2010-02-26T13:28:00-07:00",
-          "2010-02-26T13:30:00-07:00",
-          "2010-02-26T13:38:00-07:00",
-          "2010-02-26T13:40:00-07:00",
-          "2010-02-26T13:43:00-07:00",
-          "2010-02-26T13:44:00-07:00",
-          "2010-02-26T13:49:00-07:00",
-          "2010-02-26T13:50:00-07:00",
-          "2010-02-26T13:52:00-07:00",
-          "2010-02-26T13:53:00-07:00",
-          "2010-02-26T13:54:00-07:00",
-          "2010-02-26T13:57:00-07:00",
-          "2010-02-26T13:58:00-07:00",
-          "2010-02-26T13:59:00-07:00",
-          "2010-02-26T14:00:00-07:00",
-          "2010-02-26T14:01:00-07:00",
-          "2010-02-26T14:02:00-07:00",
-          "2010-02-26T14:03:00-07:00",
-          "2010-02-26T14:04:00-07:00",
-          "2010-02-26T14:05:00-07:00",
-          "2010-02-26T14:06:00-07:00",
-          "2010-02-26T14:07:00-07:00",
-          "2010-02-26T14:09:00-07:00",
-          "2010-02-26T14:10:00-07:00",
-          "2010-02-26T14:11:00-07:00",
-          "2010-02-26T14:12:00-07:00",
-          "2010-02-26T14:14:00-07:00",
-          "2010-02-26T14:15:00-07:00",
-          "2010-02-26T14:16:00-07:00",
-          "2010-02-26T14:17:00-07:00",
-          "2010-02-26T14:20:00-07:00",
-          "2010-02-26T14:24:00-07:00",
-          "2010-02-26T14:25:00-07:00",
-          "2010-02-26T14:26:00-07:00",
-          "2010-02-26T14:27:00-07:00",
-          "2010-02-26T14:28:00-07:00",
-          "2010-02-26T14:29:00-07:00",
-          "2010-02-26T14:30:00-07:00",
-          "2010-02-26T14:31:00-07:00",
-          "2010-02-26T14:32:00-07:00",
-          "2010-02-26T14:33:00-07:00",
-          "2010-02-26T14:34:00-07:00",
-          "2010-02-26T14:35:00-07:00",
-          "2010-02-26T14:36:00-07:00",
-          "2010-02-26T14:37:00-07:00",
-          "2010-02-26T14:38:00-07:00",
-          "2010-02-26T14:39:00-07:00",
-          "2010-02-26T14:40:00-07:00",
-          "2010-02-26T14:41:00-07:00",
-          "2010-02-26T14:42:00-07:00",
-          "2010-02-26T14:43:00-07:00",
-          "2010-02-26T14:44:00-07:00",
-          "2010-02-26T14:45:00-07:00",
-          "2010-02-26T14:46:00-07:00",
-          "2010-02-26T14:47:00-07:00",
-          "2010-02-26T14:48:00-07:00",
-          "2010-02-26T14:49:00-07:00",
-          "2010-02-26T14:50:00-07:00",
-          "2010-02-26T14:51:00-07:00",
-          "2010-02-26T14:52:00-07:00",
-          "2010-02-26T14:53:00-07:00",
-          "2010-02-26T14:54:00-07:00",
-          "2010-02-26T14:55:00-07:00",
-          "2010-02-26T14:56:00-07:00",
-          "2010-02-26T14:57:00-07:00",
-          "2010-02-26T14:58:00-07:00",
-          "2010-02-26T14:59:00-07:00",
-          "2010-02-26T15:00:00-07:00",
-          "2010-02-26T15:01:00-07:00",
-          "2010-02-26T15:02:00-07:00",
-          "2010-02-26T15:03:00-07:00",
-          "2010-02-26T15:04:00-07:00",
-          "2010-02-26T15:05:00-07:00",
-          "2010-02-26T15:06:00-07:00",
-          "2010-02-26T15:07:00-07:00",
-          "2010-02-26T15:08:00-07:00",
-          "2010-02-26T15:09:00-07:00",
-          "2010-02-26T15:10:00-07:00",
-          "2010-02-26T15:11:00-07:00",
-          "2010-02-26T15:12:00-07:00",
-          "2010-02-26T15:13:00-07:00",
-          "2010-02-26T15:14:00-07:00",
-          "2010-02-26T15:15:00-07:00",
-          "2010-02-26T15:16:00-07:00",
-          "2010-02-26T15:17:00-07:00",
-          "2010-02-26T15:18:00-07:00",
-          "2010-02-26T15:19:00-07:00",
-          "2010-02-26T15:20:00-07:00",
-          "2010-02-26T15:21:00-07:00",
-          "2010-02-26T15:22:00-07:00",
-          "2010-02-26T15:23:00-07:00",
-          "2010-02-26T15:24:00-07:00",
-          "2010-02-26T15:25:00-07:00",
-          "2010-02-26T15:26:00-07:00",
-          "2010-02-26T15:27:00-07:00",
-          "2010-02-26T15:28:00-07:00",
-          "2010-02-26T15:29:00-07:00",
-          "2010-02-26T15:30:00-07:00",
-          "2010-02-26T15:31:00-07:00",
-          "2010-02-26T15:32:00-07:00",
-          "2010-02-26T15:33:00-07:00",
-          "2010-02-26T15:34:00-07:00",
-          "2010-02-26T15:35:00-07:00",
-          "2010-02-26T15:36:00-07:00",
-          "2010-02-26T15:37:00-07:00",
-          "2010-02-26T15:38:00-07:00",
-          "2010-02-26T15:39:00-07:00",
-          "2010-02-26T15:40:00-07:00",
-          "2010-02-26T15:41:00-07:00",
-          "2010-02-26T15:42:00-07:00",
-          "2010-02-26T15:43:00-07:00",
-          "2010-02-26T15:44:00-07:00",
-          "2010-02-26T15:45:00-07:00",
-          "2010-02-26T15:46:00-07:00",
-          "2010-02-26T15:47:00-07:00",
-          "2010-02-26T15:48:00-07:00",
-          "2010-02-26T15:49:00-07:00",
-          "2010-02-26T15:50:00-07:00",
-          "2010-02-26T15:51:00-07:00",
-          "2010-02-26T15:52:00-07:00",
-          "2010-02-26T15:53:00-07:00",
-          "2010-02-26T15:54:00-07:00",
-          "2010-02-26T15:55:00-07:00",
-          "2010-02-26T15:56:00-07:00",
-          "2010-02-26T15:57:00-07:00",
-          "2010-02-26T15:58:00-07:00",
-          "2010-02-26T15:59:00-07:00",
-          "2010-02-26T16:00:00-07:00",
-          "2010-02-26T16:01:00-07:00",
-          "2010-02-26T16:02:00-07:00",
-          "2010-02-26T16:03:00-07:00",
-          "2010-02-26T16:04:00-07:00",
-          "2010-02-26T16:05:00-07:00",
-          "2010-02-26T16:06:00-07:00",
-          "2010-02-26T16:07:00-07:00",
-          "2010-02-26T16:08:00-07:00",
-          "2010-02-26T16:09:00-07:00",
-          "2010-02-26T16:10:00-07:00",
-          "2010-02-26T16:11:00-07:00",
-          "2010-02-26T16:12:00-07:00",
-          "2010-02-26T16:13:00-07:00",
-          "2010-02-26T16:14:00-07:00",
-          "2010-02-26T16:15:00-07:00",
-          "2010-02-26T16:16:00-07:00",
-          "2010-02-26T16:17:00-07:00",
-          "2010-02-26T16:18:00-07:00",
-          "2010-02-26T16:19:00-07:00",
-          "2010-02-26T16:20:00-07:00",
-          "2010-02-26T16:21:00-07:00",
-          "2010-02-26T16:22:00-07:00",
-          "2010-02-26T16:23:00-07:00",
-          "2010-02-26T16:24:00-07:00",
-          "2010-02-26T16:25:00-07:00",
-          "2010-02-26T16:26:00-07:00",
-          "2010-02-26T16:27:00-07:00",
-          "2010-02-26T16:28:00-07:00",
-          "2010-02-26T16:29:00-07:00",
-          "2010-02-26T16:30:00-07:00",
-          "2010-02-26T16:31:00-07:00",
-          "2010-02-26T16:32:00-07:00",
-          "2010-02-26T16:33:00-07:00",
-          "2010-02-26T16:34:00-07:00",
-          "2010-02-26T16:35:00-07:00",
-          "2010-02-26T16:36:00-07:00",
-          "2010-02-26T16:37:00-07:00",
-          "2010-02-26T16:38:00-07:00",
-          "2010-02-26T16:39:00-07:00",
-          "2010-02-26T16:40:00-07:00",
-          "2010-02-26T16:41:00-07:00",
-          "2010-02-26T16:42:00-07:00",
-          "2010-02-26T16:43:00-07:00",
-          "2010-02-26T16:44:00-07:00",
-          "2010-02-26T16:45:00-07:00",
-          "2010-02-26T16:46:00-07:00",
-          "2010-02-26T16:47:00-07:00",
-          "2010-02-26T16:48:00-07:00",
-          "2010-02-26T16:49:00-07:00",
-          "2010-02-26T16:50:00-07:00",
-          "2010-02-26T16:51:00-07:00",
-          "2010-02-26T16:52:00-07:00",
-          "2010-02-26T16:53:00-07:00",
-          "2010-02-26T16:54:00-07:00",
-          "2010-02-26T16:55:00-07:00",
-          "2010-02-26T16:56:00-07:00",
-          "2010-02-26T16:57:00-07:00",
-          "2010-02-26T16:58:00-07:00",
-          "2010-02-26T16:59:00-07:00",
-          "2010-02-26T17:00:00-07:00",
-          "2010-02-26T17:01:00-07:00",
-          "2010-02-26T17:02:00-07:00",
-          "2010-02-26T17:03:00-07:00",
-          "2010-02-26T17:04:00-07:00",
-          "2010-02-26T17:05:00-07:00",
-          "2010-02-26T17:06:00-07:00",
-          "2010-02-26T17:07:00-07:00",
-          "2010-02-26T17:08:00-07:00",
-          "2010-02-26T17:09:00-07:00",
-          "2010-02-26T17:10:00-07:00",
-          "2010-02-26T17:11:00-07:00",
-          "2010-02-26T17:12:00-07:00",
-          "2010-02-26T17:13:00-07:00",
-          "2010-02-26T17:14:00-07:00",
-          "2010-02-26T17:15:00-07:00",
-          "2010-02-26T17:16:00-07:00",
-          "2010-02-26T17:17:00-07:00",
-          "2010-02-26T17:18:00-07:00",
-          "2010-02-26T17:19:00-07:00",
-          "2010-02-26T17:20:00-07:00",
-          "2010-02-26T17:21:00-07:00",
-          "2010-02-26T17:22:00-07:00",
-          "2010-02-26T17:23:00-07:00",
-          "2010-02-26T17:24:00-07:00",
-          "2010-02-26T17:25:00-07:00",
-          "2010-02-26T17:26:00-07:00",
-          "2010-02-26T17:27:00-07:00",
-          "2010-02-26T17:28:00-07:00",
-          "2010-02-26T17:29:00-07:00",
-          "2010-02-26T17:30:00-07:00",
-          "2010-02-26T17:31:00-07:00",
-          "2010-02-26T17:32:00-07:00",
-          "2010-02-26T17:33:00-07:00",
-          "2010-02-26T17:34:00-07:00",
-          "2010-02-26T17:35:00-07:00",
-          "2010-02-26T17:36:00-07:00",
-          "2010-02-27T06:50:00-07:00",
-          "2010-02-27T06:51:00-07:00",
-          "2010-02-27T06:52:00-07:00",
-          "2010-02-27T06:53:00-07:00",
-          "2010-02-27T06:54:00-07:00",
-          "2010-02-27T06:55:00-07:00",
-          "2010-02-27T06:56:00-07:00",
-          "2010-02-27T06:57:00-07:00",
-          "2010-02-27T06:58:00-07:00",
-          "2010-02-27T06:59:00-07:00",
-          "2010-02-27T07:00:00-07:00",
-          "2010-02-27T07:01:00-07:00",
-          "2010-02-27T07:02:00-07:00",
-          "2010-02-27T07:03:00-07:00",
-          "2010-02-27T07:04:00-07:00",
-          "2010-02-27T07:05:00-07:00",
-          "2010-02-27T07:06:00-07:00",
-          "2010-02-27T07:07:00-07:00",
-          "2010-02-27T07:08:00-07:00",
-          "2010-02-27T07:09:00-07:00",
-          "2010-02-27T07:10:00-07:00",
-          "2010-02-27T07:11:00-07:00",
-          "2010-02-27T07:12:00-07:00",
-          "2010-02-27T07:13:00-07:00",
-          "2010-02-27T07:14:00-07:00",
-          "2010-02-27T07:15:00-07:00",
-          "2010-02-27T07:16:00-07:00",
-          "2010-02-27T07:17:00-07:00",
-          "2010-02-27T07:18:00-07:00",
-          "2010-02-27T07:19:00-07:00",
-          "2010-02-27T07:20:00-07:00",
-          "2010-02-27T07:21:00-07:00",
-          "2010-02-27T07:22:00-07:00",
-          "2010-02-27T07:23:00-07:00",
-          "2010-02-27T07:24:00-07:00",
-          "2010-02-27T07:25:00-07:00",
-          "2010-02-27T07:26:00-07:00",
-          "2010-02-27T07:27:00-07:00",
-          "2010-02-27T07:28:00-07:00",
-          "2010-02-27T07:29:00-07:00",
-          "2010-02-27T07:30:00-07:00",
-          "2010-02-27T07:31:00-07:00",
-          "2010-02-27T07:32:00-07:00",
-          "2010-02-27T07:33:00-07:00",
-          "2010-02-27T07:34:00-07:00",
-          "2010-02-27T07:35:00-07:00",
-          "2010-02-27T07:36:00-07:00",
-          "2010-02-27T07:37:00-07:00",
-          "2010-02-27T07:38:00-07:00",
-          "2010-02-27T07:39:00-07:00",
-          "2010-02-27T07:40:00-07:00",
-          "2010-02-27T07:41:00-07:00",
-          "2010-02-27T07:42:00-07:00",
-          "2010-02-27T07:43:00-07:00",
-          "2010-02-27T07:44:00-07:00",
-          "2010-02-27T07:45:00-07:00",
-          "2010-02-27T07:46:00-07:00",
-          "2010-02-27T07:47:00-07:00",
-          "2010-02-27T07:48:00-07:00",
-          "2010-02-27T07:49:00-07:00",
-          "2010-02-27T07:50:00-07:00",
-          "2010-02-27T07:51:00-07:00",
-          "2010-02-27T07:52:00-07:00",
-          "2010-02-27T07:53:00-07:00",
-          "2010-02-27T07:54:00-07:00",
-          "2010-02-27T07:55:00-07:00",
-          "2010-02-27T07:56:00-07:00",
-          "2010-02-27T07:57:00-07:00",
-          "2010-02-27T07:58:00-07:00",
-          "2010-02-27T07:59:00-07:00",
-          "2010-02-27T08:00:00-07:00",
-          "2010-02-27T08:01:00-07:00",
-          "2010-02-27T08:02:00-07:00",
-          "2010-02-27T08:03:00-07:00",
-          "2010-02-27T08:04:00-07:00",
-          "2010-02-27T08:05:00-07:00",
-          "2010-02-27T08:06:00-07:00",
-          "2010-02-27T08:07:00-07:00",
-          "2010-02-27T08:08:00-07:00",
-          "2010-02-27T08:09:00-07:00",
-          "2010-02-27T08:10:00-07:00",
-          "2010-02-27T08:11:00-07:00",
-          "2010-02-27T08:12:00-07:00",
-          "2010-02-27T08:13:00-07:00",
-          "2010-02-27T08:14:00-07:00",
-          "2010-02-27T08:15:00-07:00",
-          "2010-02-27T08:16:00-07:00",
-          "2010-02-27T08:17:00-07:00",
-          "2010-02-27T08:18:00-07:00",
-          "2010-02-27T08:19:00-07:00",
-          "2010-02-27T08:20:00-07:00",
-          "2010-02-27T08:21:00-07:00",
-          "2010-02-27T08:22:00-07:00",
-          "2010-02-27T08:23:00-07:00",
-          "2010-02-27T08:24:00-07:00",
-          "2010-02-27T08:25:00-07:00",
-          "2010-02-27T08:26:00-07:00",
-          "2010-02-27T08:27:00-07:00",
-          "2010-02-27T08:28:00-07:00",
-          "2010-02-27T08:29:00-07:00",
-          "2010-02-27T08:30:00-07:00",
-          "2010-02-27T08:31:00-07:00",
-          "2010-02-27T08:32:00-07:00",
-          "2010-02-27T08:33:00-07:00",
-          "2010-02-27T08:34:00-07:00",
-          "2010-02-27T08:35:00-07:00",
-          "2010-02-27T08:36:00-07:00",
-          "2010-02-27T08:37:00-07:00",
-          "2010-02-27T08:38:00-07:00",
-          "2010-02-27T08:39:00-07:00",
-          "2010-02-27T08:40:00-07:00",
-          "2010-02-27T08:41:00-07:00",
-          "2010-02-27T08:42:00-07:00",
-          "2010-02-27T08:43:00-07:00",
-          "2010-02-27T08:44:00-07:00",
-          "2010-02-27T08:45:00-07:00",
-          "2010-02-27T08:46:00-07:00",
-          "2010-02-27T08:47:00-07:00",
-          "2010-02-27T08:48:00-07:00",
-          "2010-02-27T08:49:00-07:00",
-          "2010-02-27T08:50:00-07:00",
-          "2010-02-27T08:51:00-07:00",
-          "2010-02-27T08:52:00-07:00",
-          "2010-02-27T08:53:00-07:00",
-          "2010-02-27T08:54:00-07:00",
-          "2010-02-27T08:55:00-07:00",
-          "2010-02-27T08:56:00-07:00",
-          "2010-02-27T08:57:00-07:00",
-          "2010-02-27T08:58:00-07:00",
-          "2010-02-27T08:59:00-07:00",
-          "2010-02-27T09:00:00-07:00",
-          "2010-02-27T09:01:00-07:00",
-          "2010-02-27T09:02:00-07:00",
-          "2010-02-27T09:03:00-07:00",
-          "2010-02-27T09:04:00-07:00",
-          "2010-02-27T09:05:00-07:00",
-          "2010-02-27T09:06:00-07:00",
-          "2010-02-27T09:07:00-07:00",
-          "2010-02-27T09:08:00-07:00",
-          "2010-02-27T09:09:00-07:00",
-          "2010-02-27T09:10:00-07:00",
-          "2010-02-27T09:11:00-07:00",
-          "2010-02-27T09:12:00-07:00",
-          "2010-02-27T09:13:00-07:00",
-          "2010-02-27T09:14:00-07:00",
-          "2010-02-27T09:15:00-07:00",
-          "2010-02-27T09:16:00-07:00",
-          "2010-02-27T09:17:00-07:00",
-          "2010-02-27T09:18:00-07:00",
-          "2010-02-27T09:19:00-07:00",
-          "2010-02-27T09:20:00-07:00",
-          "2010-02-27T09:21:00-07:00",
-          "2010-02-27T09:22:00-07:00",
-          "2010-02-27T09:23:00-07:00",
-          "2010-02-27T09:24:00-07:00",
-          "2010-02-27T09:25:00-07:00",
-          "2010-02-27T09:26:00-07:00",
-          "2010-02-27T09:27:00-07:00",
-          "2010-02-27T09:28:00-07:00",
-          "2010-02-27T09:29:00-07:00",
-          "2010-02-27T09:30:00-07:00",
-          "2010-02-27T09:31:00-07:00",
-          "2010-02-27T09:32:00-07:00",
-          "2010-02-27T09:33:00-07:00",
-          "2010-02-27T09:34:00-07:00",
-          "2010-02-27T09:35:00-07:00",
-          "2010-02-27T09:36:00-07:00",
-          "2010-02-27T09:37:00-07:00",
-          "2010-02-27T09:38:00-07:00",
-          "2010-02-27T09:39:00-07:00",
-          "2010-02-27T09:40:00-07:00",
-          "2010-02-27T09:41:00-07:00",
-          "2010-02-27T09:42:00-07:00",
-          "2010-02-27T09:43:00-07:00",
-          "2010-02-27T09:44:00-07:00",
-          "2010-02-27T09:45:00-07:00",
-          "2010-02-27T09:46:00-07:00",
-          "2010-02-27T09:47:00-07:00",
-          "2010-02-27T09:48:00-07:00",
-          "2010-02-27T09:49:00-07:00",
-          "2010-02-27T09:50:00-07:00",
-          "2010-02-27T09:51:00-07:00",
-          "2010-02-27T09:52:00-07:00",
-          "2010-02-27T09:53:00-07:00",
-          "2010-02-27T09:54:00-07:00",
-          "2010-02-27T09:55:00-07:00",
-          "2010-02-27T09:56:00-07:00",
-          "2010-02-27T09:57:00-07:00",
-          "2010-02-27T09:58:00-07:00",
-          "2010-02-27T09:59:00-07:00",
-          "2010-02-27T10:00:00-07:00",
-          "2010-02-27T10:01:00-07:00",
-          "2010-02-27T10:02:00-07:00",
-          "2010-02-27T10:03:00-07:00",
-          "2010-02-27T10:04:00-07:00",
-          "2010-02-27T10:05:00-07:00",
-          "2010-02-27T10:06:00-07:00",
-          "2010-02-27T10:07:00-07:00",
-          "2010-02-27T10:08:00-07:00",
-          "2010-02-27T10:09:00-07:00",
-          "2010-02-27T10:10:00-07:00",
-          "2010-02-27T10:11:00-07:00",
-          "2010-02-27T10:12:00-07:00",
-          "2010-02-27T10:13:00-07:00",
-          "2010-02-27T10:14:00-07:00",
-          "2010-02-27T10:15:00-07:00",
-          "2010-02-27T10:16:00-07:00",
-          "2010-02-27T10:17:00-07:00",
-          "2010-02-27T10:18:00-07:00",
-          "2010-02-27T10:19:00-07:00",
-          "2010-02-27T10:20:00-07:00",
-          "2010-02-27T10:21:00-07:00",
-          "2010-02-27T10:22:00-07:00",
-          "2010-02-27T10:23:00-07:00",
-          "2010-02-27T10:24:00-07:00",
-          "2010-02-27T10:25:00-07:00",
-          "2010-02-27T10:26:00-07:00",
-          "2010-02-27T10:27:00-07:00",
-          "2010-02-27T10:28:00-07:00",
-          "2010-02-27T10:29:00-07:00",
-          "2010-02-27T10:30:00-07:00",
-          "2010-02-27T10:31:00-07:00",
-          "2010-02-27T10:32:00-07:00",
-          "2010-02-27T10:33:00-07:00",
-          "2010-02-27T10:34:00-07:00",
-          "2010-02-27T10:35:00-07:00",
-          "2010-02-27T10:36:00-07:00",
-          "2010-02-27T10:37:00-07:00",
-          "2010-02-27T10:38:00-07:00",
-          "2010-02-27T10:39:00-07:00",
-          "2010-02-27T10:40:00-07:00",
-          "2010-02-27T10:41:00-07:00",
-          "2010-02-27T10:42:00-07:00",
-          "2010-02-27T10:43:00-07:00",
-          "2010-02-27T10:44:00-07:00",
-          "2010-02-27T10:45:00-07:00",
-          "2010-02-27T10:46:00-07:00",
-          "2010-02-27T10:47:00-07:00",
-          "2010-02-27T10:48:00-07:00",
-          "2010-02-27T10:49:00-07:00",
-          "2010-02-27T10:50:00-07:00",
-          "2010-02-27T10:51:00-07:00",
-          "2010-02-27T10:52:00-07:00",
-          "2010-02-27T10:53:00-07:00",
-          "2010-02-27T10:54:00-07:00",
-          "2010-02-27T10:55:00-07:00",
-          "2010-02-27T10:56:00-07:00",
-          "2010-02-27T10:57:00-07:00",
-          "2010-02-27T10:58:00-07:00",
-          "2010-02-27T10:59:00-07:00",
-          "2010-02-27T11:00:00-07:00",
-          "2010-02-27T11:01:00-07:00",
-          "2010-02-27T11:02:00-07:00",
-          "2010-02-27T11:03:00-07:00",
-          "2010-02-27T11:04:00-07:00",
-          "2010-02-27T11:05:00-07:00",
-          "2010-02-27T11:06:00-07:00",
-          "2010-02-27T11:07:00-07:00",
-          "2010-02-27T11:08:00-07:00",
-          "2010-02-27T11:09:00-07:00",
-          "2010-02-27T11:10:00-07:00",
-          "2010-02-27T11:11:00-07:00",
-          "2010-02-27T11:12:00-07:00",
-          "2010-02-27T11:13:00-07:00",
-          "2010-02-27T11:14:00-07:00",
-          "2010-02-27T11:15:00-07:00",
-          "2010-02-27T11:16:00-07:00",
-          "2010-02-27T11:17:00-07:00",
-          "2010-02-27T11:18:00-07:00",
-          "2010-02-27T11:19:00-07:00",
-          "2010-02-27T11:20:00-07:00",
-          "2010-02-27T11:23:00-07:00",
-          "2010-02-27T11:24:00-07:00",
-          "2010-02-27T11:25:00-07:00",
-          "2010-02-27T11:26:00-07:00",
-          "2010-02-27T11:27:00-07:00",
-          "2010-02-27T11:28:00-07:00",
-          "2010-02-27T11:29:00-07:00",
-          "2010-02-27T11:30:00-07:00",
-          "2010-02-27T11:31:00-07:00",
-          "2010-02-27T11:32:00-07:00",
-          "2010-02-27T11:33:00-07:00",
-          "2010-02-27T11:34:00-07:00",
-          "2010-02-27T11:35:00-07:00",
-          "2010-02-27T11:38:00-07:00",
-          "2010-02-27T11:40:00-07:00",
-          "2010-02-27T11:41:00-07:00",
-          "2010-02-27T11:43:00-07:00",
-          "2010-02-27T11:45:00-07:00",
-          "2010-02-27T11:47:00-07:00",
-          "2010-02-27T11:48:00-07:00",
-          "2010-02-27T11:49:00-07:00",
-          "2010-02-27T11:50:00-07:00",
-          "2010-02-27T11:51:00-07:00",
-          "2010-02-27T11:52:00-07:00",
-          "2010-02-27T11:53:00-07:00",
-          "2010-02-27T11:54:00-07:00",
-          "2010-02-27T11:55:00-07:00",
-          "2010-02-27T11:56:00-07:00",
-          "2010-02-27T11:59:00-07:00",
-          "2010-02-27T12:01:00-07:00",
-          "2010-02-27T12:02:00-07:00",
-          "2010-02-27T12:03:00-07:00",
-          "2010-02-27T12:04:00-07:00",
-          "2010-02-27T12:05:00-07:00",
-          "2010-02-27T12:06:00-07:00",
-          "2010-02-27T12:07:00-07:00",
-          "2010-02-27T12:08:00-07:00",
-          "2010-02-27T12:09:00-07:00",
-          "2010-02-27T12:11:00-07:00",
-          "2010-02-27T12:12:00-07:00",
-          "2010-02-27T12:13:00-07:00",
-          "2010-02-27T12:14:00-07:00",
-          "2010-02-27T12:15:00-07:00",
-          "2010-02-27T12:16:00-07:00",
-          "2010-02-27T12:17:00-07:00",
-          "2010-02-27T12:18:00-07:00",
-          "2010-02-27T12:19:00-07:00",
-          "2010-02-27T12:20:00-07:00",
-          "2010-02-27T12:21:00-07:00",
-          "2010-02-27T12:22:00-07:00",
-          "2010-02-27T12:23:00-07:00",
-          "2010-02-27T12:24:00-07:00",
-          "2010-02-27T12:25:00-07:00",
-          "2010-02-27T12:26:00-07:00",
-          "2010-02-27T12:27:00-07:00",
-          "2010-02-27T12:28:00-07:00",
-          "2010-02-27T12:29:00-07:00",
-          "2010-02-27T12:31:00-07:00",
-          "2010-02-27T12:32:00-07:00",
-          "2010-02-27T12:33:00-07:00",
-          "2010-02-27T12:34:00-07:00",
-          "2010-02-27T12:35:00-07:00",
-          "2010-02-27T12:36:00-07:00",
-          "2010-02-27T12:37:00-07:00",
-          "2010-02-27T12:38:00-07:00",
-          "2010-02-27T12:39:00-07:00",
-          "2010-02-27T12:40:00-07:00",
-          "2010-02-27T12:41:00-07:00",
-          "2010-02-27T12:42:00-07:00",
-          "2010-02-27T12:43:00-07:00",
-          "2010-02-27T12:44:00-07:00",
-          "2010-02-27T12:45:00-07:00",
-          "2010-02-27T12:46:00-07:00",
-          "2010-02-27T12:47:00-07:00",
-          "2010-02-27T12:48:00-07:00",
-          "2010-02-27T12:49:00-07:00",
-          "2010-02-27T12:50:00-07:00",
-          "2010-02-27T12:51:00-07:00",
-          "2010-02-27T12:52:00-07:00",
-          "2010-02-27T12:53:00-07:00",
-          "2010-02-27T12:54:00-07:00",
-          "2010-02-27T12:55:00-07:00",
-          "2010-02-27T12:56:00-07:00",
-          "2010-02-27T12:57:00-07:00",
-          "2010-02-27T12:58:00-07:00",
-          "2010-02-27T12:59:00-07:00",
-          "2010-02-27T13:00:00-07:00",
-          "2010-02-27T13:01:00-07:00",
-          "2010-02-27T13:02:00-07:00",
-          "2010-02-27T13:03:00-07:00",
-          "2010-02-27T13:04:00-07:00",
-          "2010-02-27T13:05:00-07:00",
-          "2010-02-27T13:06:00-07:00",
-          "2010-02-27T13:07:00-07:00",
-          "2010-02-27T13:08:00-07:00",
-          "2010-02-27T13:09:00-07:00",
-          "2010-02-27T13:10:00-07:00",
-          "2010-02-27T13:11:00-07:00",
-          "2010-02-27T13:12:00-07:00",
-          "2010-02-27T13:13:00-07:00",
-          "2010-02-27T13:14:00-07:00",
-          "2010-02-27T13:15:00-07:00",
-          "2010-02-27T13:16:00-07:00",
-          "2010-02-27T13:17:00-07:00",
-          "2010-02-27T13:18:00-07:00",
-          "2010-02-27T13:19:00-07:00",
-          "2010-02-27T13:20:00-07:00",
-          "2010-02-27T13:21:00-07:00",
-          "2010-02-27T13:22:00-07:00",
-          "2010-02-27T13:23:00-07:00",
-          "2010-02-27T13:24:00-07:00",
-          "2010-02-27T13:25:00-07:00",
-          "2010-02-27T13:26:00-07:00",
-          "2010-02-27T13:27:00-07:00",
-          "2010-02-27T13:28:00-07:00",
-          "2010-02-27T13:29:00-07:00",
-          "2010-02-27T13:30:00-07:00",
-          "2010-02-27T13:31:00-07:00",
-          "2010-02-27T13:32:00-07:00",
-          "2010-02-27T13:33:00-07:00",
-          "2010-02-27T13:34:00-07:00",
-          "2010-02-27T13:35:00-07:00",
-          "2010-02-27T13:36:00-07:00",
-          "2010-02-27T13:37:00-07:00",
-          "2010-02-27T13:38:00-07:00",
-          "2010-02-27T13:39:00-07:00",
-          "2010-02-27T13:40:00-07:00",
-          "2010-02-27T13:41:00-07:00",
-          "2010-02-27T13:42:00-07:00",
-          "2010-02-27T13:43:00-07:00",
-          "2010-02-27T13:44:00-07:00",
-          "2010-02-27T13:45:00-07:00",
-          "2010-02-27T13:46:00-07:00",
-          "2010-02-27T13:47:00-07:00",
-          "2010-02-27T13:48:00-07:00",
-          "2010-02-27T13:49:00-07:00",
-          "2010-02-27T13:50:00-07:00",
-          "2010-02-27T13:51:00-07:00",
-          "2010-02-27T13:52:00-07:00",
-          "2010-02-27T13:53:00-07:00",
-          "2010-02-27T13:54:00-07:00",
-          "2010-02-27T13:55:00-07:00",
-          "2010-02-27T13:56:00-07:00",
-          "2010-02-27T13:57:00-07:00",
-          "2010-02-27T13:58:00-07:00",
-          "2010-02-27T13:59:00-07:00",
-          "2010-02-27T14:00:00-07:00",
-          "2010-02-27T14:01:00-07:00",
-          "2010-02-27T14:02:00-07:00",
-          "2010-02-27T14:03:00-07:00",
-          "2010-02-27T14:04:00-07:00",
-          "2010-02-27T14:05:00-07:00",
-          "2010-02-27T14:06:00-07:00",
-          "2010-02-27T14:07:00-07:00",
-          "2010-02-27T14:08:00-07:00",
-          "2010-02-27T14:09:00-07:00",
-          "2010-02-27T14:10:00-07:00",
-          "2010-02-27T14:11:00-07:00",
-          "2010-02-27T14:12:00-07:00",
-          "2010-02-27T14:13:00-07:00",
-          "2010-02-27T14:14:00-07:00",
-          "2010-02-27T14:15:00-07:00",
-          "2010-02-27T14:16:00-07:00",
-          "2010-02-27T14:17:00-07:00",
-          "2010-02-27T14:18:00-07:00",
-          "2010-02-27T14:19:00-07:00",
-          "2010-02-27T14:20:00-07:00",
-          "2010-02-27T14:21:00-07:00",
-          "2010-02-27T14:22:00-07:00",
-          "2010-02-27T14:23:00-07:00",
-          "2010-02-27T14:24:00-07:00",
-          "2010-02-27T14:25:00-07:00",
-          "2010-02-27T14:26:00-07:00",
-          "2010-02-27T14:27:00-07:00",
-          "2010-02-27T14:28:00-07:00",
-          "2010-02-27T14:29:00-07:00",
-          "2010-02-27T14:30:00-07:00",
-          "2010-02-27T14:31:00-07:00",
-          "2010-02-27T14:32:00-07:00",
-          "2010-02-27T14:33:00-07:00",
-          "2010-02-27T14:34:00-07:00",
-          "2010-02-27T14:35:00-07:00",
-          "2010-02-27T14:36:00-07:00",
-          "2010-02-27T14:37:00-07:00",
-          "2010-02-27T14:38:00-07:00",
-          "2010-02-27T14:39:00-07:00",
-          "2010-02-27T14:40:00-07:00",
-          "2010-02-27T14:41:00-07:00",
-          "2010-02-27T14:42:00-07:00",
-          "2010-02-27T14:43:00-07:00",
-          "2010-02-27T14:44:00-07:00",
-          "2010-02-27T14:45:00-07:00",
-          "2010-02-27T14:46:00-07:00",
-          "2010-02-27T14:47:00-07:00",
-          "2010-02-27T14:48:00-07:00",
-          "2010-02-27T14:49:00-07:00",
-          "2010-02-27T14:50:00-07:00",
-          "2010-02-27T14:51:00-07:00",
-          "2010-02-27T14:52:00-07:00",
-          "2010-02-27T14:53:00-07:00",
-          "2010-02-27T14:54:00-07:00",
-          "2010-02-27T14:55:00-07:00",
-          "2010-02-27T14:56:00-07:00",
-          "2010-02-27T14:57:00-07:00",
-          "2010-02-27T14:58:00-07:00",
-          "2010-02-27T14:59:00-07:00",
-          "2010-02-27T15:00:00-07:00",
-          "2010-02-27T15:01:00-07:00",
-          "2010-02-27T15:02:00-07:00",
-          "2010-02-27T15:03:00-07:00",
-          "2010-02-27T15:04:00-07:00",
-          "2010-02-27T15:05:00-07:00",
-          "2010-02-27T15:06:00-07:00",
-          "2010-02-27T15:07:00-07:00",
-          "2010-02-27T15:08:00-07:00",
-          "2010-02-27T15:09:00-07:00",
-          "2010-02-27T15:10:00-07:00",
-          "2010-02-27T15:11:00-07:00",
-          "2010-02-27T15:12:00-07:00",
-          "2010-02-27T15:13:00-07:00",
-          "2010-02-27T15:14:00-07:00",
-          "2010-02-27T15:15:00-07:00",
-          "2010-02-27T15:16:00-07:00",
-          "2010-02-27T15:17:00-07:00",
-          "2010-02-27T15:18:00-07:00",
-          "2010-02-27T15:19:00-07:00",
-          "2010-02-27T15:20:00-07:00",
-          "2010-02-27T15:21:00-07:00",
-          "2010-02-27T15:22:00-07:00",
-          "2010-02-27T15:23:00-07:00",
-          "2010-02-27T15:24:00-07:00",
-          "2010-02-27T15:25:00-07:00",
-          "2010-02-27T15:26:00-07:00",
-          "2010-02-27T15:27:00-07:00",
-          "2010-02-27T15:28:00-07:00",
-          "2010-02-27T15:29:00-07:00",
-          "2010-02-27T15:30:00-07:00",
-          "2010-02-27T15:31:00-07:00",
-          "2010-02-27T15:32:00-07:00",
-          "2010-02-27T15:33:00-07:00",
-          "2010-02-27T15:34:00-07:00",
-          "2010-02-27T15:35:00-07:00",
-          "2010-02-27T15:36:00-07:00",
-          "2010-02-27T15:37:00-07:00",
-          "2010-02-27T15:38:00-07:00",
-          "2010-02-27T15:39:00-07:00",
-          "2010-02-27T15:40:00-07:00",
-          "2010-02-27T15:41:00-07:00",
-          "2010-02-27T15:42:00-07:00",
-          "2010-02-27T15:43:00-07:00",
-          "2010-02-27T15:44:00-07:00",
-          "2010-02-27T15:45:00-07:00",
-          "2010-02-27T15:46:00-07:00",
-          "2010-02-27T15:47:00-07:00",
-          "2010-02-27T15:48:00-07:00",
-          "2010-02-27T15:49:00-07:00",
-          "2010-02-27T15:50:00-07:00",
-          "2010-02-27T15:51:00-07:00",
-          "2010-02-27T15:52:00-07:00",
-          "2010-02-27T15:53:00-07:00",
-          "2010-02-27T15:54:00-07:00",
-          "2010-02-27T15:55:00-07:00",
-          "2010-02-27T15:56:00-07:00",
-          "2010-02-27T15:57:00-07:00",
-          "2010-02-27T15:58:00-07:00",
-          "2010-02-27T15:59:00-07:00",
-          "2010-02-27T16:00:00-07:00",
-          "2010-02-27T16:01:00-07:00",
-          "2010-02-27T16:02:00-07:00",
-          "2010-02-27T16:03:00-07:00",
-          "2010-02-27T16:04:00-07:00",
-          "2010-02-27T16:05:00-07:00",
-          "2010-02-27T16:06:00-07:00",
-          "2010-02-27T16:07:00-07:00",
-          "2010-02-27T16:08:00-07:00",
-          "2010-02-27T16:09:00-07:00",
-          "2010-02-27T16:10:00-07:00",
-          "2010-02-27T16:11:00-07:00",
-          "2010-02-27T16:12:00-07:00",
-          "2010-02-27T16:13:00-07:00",
-          "2010-02-27T16:14:00-07:00",
-          "2010-02-27T16:15:00-07:00",
-          "2010-02-27T16:16:00-07:00",
-          "2010-02-27T16:17:00-07:00",
-          "2010-02-27T16:18:00-07:00",
-          "2010-02-27T16:19:00-07:00",
-          "2010-02-27T16:20:00-07:00",
-          "2010-02-27T16:21:00-07:00",
-          "2010-02-27T16:22:00-07:00",
-          "2010-02-27T16:23:00-07:00",
-          "2010-02-27T16:24:00-07:00",
-          "2010-02-27T16:25:00-07:00",
-          "2010-02-27T16:26:00-07:00",
-          "2010-02-27T16:27:00-07:00",
-          "2010-02-27T16:28:00-07:00",
-          "2010-02-27T16:29:00-07:00",
-          "2010-02-27T16:30:00-07:00",
-          "2010-02-27T16:31:00-07:00",
-          "2010-02-27T16:32:00-07:00",
-          "2010-02-27T16:33:00-07:00",
-          "2010-02-27T16:34:00-07:00",
-          "2010-02-27T16:35:00-07:00",
-          "2010-02-27T16:36:00-07:00",
-          "2010-02-27T16:37:00-07:00",
-          "2010-02-27T16:38:00-07:00",
-          "2010-02-27T16:39:00-07:00",
-          "2010-02-27T16:40:00-07:00",
-          "2010-02-27T16:41:00-07:00",
-          "2010-02-27T16:42:00-07:00",
-          "2010-02-27T16:43:00-07:00",
-          "2010-02-27T16:44:00-07:00",
-          "2010-02-27T16:45:00-07:00",
-          "2010-02-27T16:46:00-07:00",
-          "2010-02-27T16:47:00-07:00",
-          "2010-02-27T16:48:00-07:00",
-          "2010-02-27T16:49:00-07:00",
-          "2010-02-27T16:50:00-07:00",
-          "2010-02-27T16:51:00-07:00",
-          "2010-02-27T16:52:00-07:00",
-          "2010-02-27T16:53:00-07:00",
-          "2010-02-27T16:54:00-07:00",
-          "2010-02-27T16:55:00-07:00",
-          "2010-02-27T16:56:00-07:00",
-          "2010-02-27T16:57:00-07:00",
-          "2010-02-27T16:58:00-07:00",
-          "2010-02-27T16:59:00-07:00",
-          "2010-02-27T17:00:00-07:00",
-          "2010-02-27T17:01:00-07:00",
-          "2010-02-27T17:02:00-07:00",
-          "2010-02-27T17:03:00-07:00",
-          "2010-02-27T17:04:00-07:00",
-          "2010-02-27T17:05:00-07:00",
-          "2010-02-27T17:06:00-07:00",
-          "2010-02-27T17:07:00-07:00",
-          "2010-02-27T17:08:00-07:00",
-          "2010-02-27T17:09:00-07:00",
-          "2010-02-27T17:10:00-07:00",
-          "2010-02-27T17:11:00-07:00",
-          "2010-02-27T17:12:00-07:00",
-          "2010-02-27T17:13:00-07:00",
-          "2010-02-27T17:14:00-07:00",
-          "2010-02-27T17:15:00-07:00",
-          "2010-02-27T17:16:00-07:00",
-          "2010-02-27T17:17:00-07:00",
-          "2010-02-27T17:18:00-07:00",
-          "2010-02-27T17:19:00-07:00",
-          "2010-02-27T17:20:00-07:00",
-          "2010-02-27T17:21:00-07:00",
-          "2010-02-27T17:22:00-07:00",
-          "2010-02-27T17:23:00-07:00",
-          "2010-02-28T07:08:00-07:00",
-          "2010-02-28T07:09:00-07:00",
-          "2010-02-28T07:10:00-07:00",
-          "2010-02-28T07:13:00-07:00",
-          "2010-02-28T07:14:00-07:00",
-          "2010-02-28T07:15:00-07:00",
-          "2010-02-28T07:16:00-07:00",
-          "2010-02-28T07:17:00-07:00",
-          "2010-02-28T07:18:00-07:00",
-          "2010-02-28T07:19:00-07:00",
-          "2010-02-28T07:20:00-07:00",
-          "2010-02-28T07:21:00-07:00",
-          "2010-02-28T07:22:00-07:00",
-          "2010-02-28T07:23:00-07:00",
-          "2010-02-28T07:24:00-07:00",
-          "2010-02-28T07:25:00-07:00",
-          "2010-02-28T07:26:00-07:00",
-          "2010-02-28T07:27:00-07:00",
-          "2010-02-28T07:28:00-07:00",
-          "2010-02-28T07:29:00-07:00",
-          "2010-02-28T07:30:00-07:00",
-          "2010-02-28T07:31:00-07:00",
-          "2010-02-28T07:32:00-07:00",
-          "2010-02-28T07:33:00-07:00",
-          "2010-02-28T07:34:00-07:00",
-          "2010-02-28T07:35:00-07:00",
-          "2010-02-28T07:36:00-07:00",
-          "2010-02-28T07:37:00-07:00",
-          "2010-02-28T07:38:00-07:00",
-          "2010-02-28T07:39:00-07:00",
-          "2010-02-28T07:40:00-07:00",
-          "2010-02-28T07:41:00-07:00",
-          "2010-02-28T07:42:00-07:00",
-          "2010-02-28T07:43:00-07:00",
-          "2010-02-28T07:44:00-07:00",
-          "2010-02-28T07:45:00-07:00",
-          "2010-02-28T07:46:00-07:00",
-          "2010-02-28T07:47:00-07:00",
-          "2010-02-28T07:48:00-07:00",
-          "2010-02-28T07:49:00-07:00",
-          "2010-02-28T07:50:00-07:00",
-          "2010-02-28T07:51:00-07:00",
-          "2010-02-28T07:52:00-07:00",
-          "2010-02-28T07:53:00-07:00",
-          "2010-02-28T07:54:00-07:00",
-          "2010-02-28T07:55:00-07:00",
-          "2010-02-28T07:56:00-07:00",
-          "2010-02-28T07:57:00-07:00",
-          "2010-02-28T07:58:00-07:00",
-          "2010-02-28T07:59:00-07:00",
-          "2010-02-28T08:00:00-07:00",
-          "2010-02-28T08:01:00-07:00",
-          "2010-02-28T08:02:00-07:00",
-          "2010-02-28T08:03:00-07:00",
-          "2010-02-28T08:04:00-07:00",
-          "2010-02-28T08:05:00-07:00",
-          "2010-02-28T08:06:00-07:00",
-          "2010-02-28T08:07:00-07:00",
-          "2010-02-28T08:08:00-07:00",
-          "2010-02-28T08:09:00-07:00",
-          "2010-02-28T08:10:00-07:00",
-          "2010-02-28T08:11:00-07:00",
-          "2010-02-28T08:12:00-07:00",
-          "2010-02-28T08:13:00-07:00",
-          "2010-02-28T08:14:00-07:00",
-          "2010-02-28T08:15:00-07:00",
-          "2010-02-28T08:16:00-07:00",
-          "2010-02-28T08:17:00-07:00",
-          "2010-02-28T08:18:00-07:00",
-          "2010-02-28T08:19:00-07:00",
-          "2010-02-28T08:20:00-07:00",
-          "2010-02-28T08:21:00-07:00",
-          "2010-02-28T08:22:00-07:00",
-          "2010-02-28T08:23:00-07:00",
-          "2010-02-28T08:24:00-07:00",
-          "2010-02-28T08:25:00-07:00",
-          "2010-02-28T08:26:00-07:00",
-          "2010-02-28T08:27:00-07:00",
-          "2010-02-28T08:28:00-07:00",
-          "2010-02-28T08:29:00-07:00",
-          "2010-02-28T08:30:00-07:00",
-          "2010-02-28T08:31:00-07:00",
-          "2010-02-28T08:32:00-07:00",
-          "2010-02-28T08:33:00-07:00",
-          "2010-02-28T08:34:00-07:00",
-          "2010-02-28T08:35:00-07:00",
-          "2010-02-28T08:36:00-07:00",
-          "2010-02-28T08:37:00-07:00",
-          "2010-02-28T08:38:00-07:00",
-          "2010-02-28T08:39:00-07:00",
-          "2010-02-28T08:40:00-07:00",
-          "2010-02-28T08:41:00-07:00",
-          "2010-02-28T08:42:00-07:00",
-          "2010-02-28T08:43:00-07:00",
-          "2010-02-28T08:44:00-07:00",
-          "2010-02-28T08:45:00-07:00",
-          "2010-02-28T08:46:00-07:00",
-          "2010-02-28T08:47:00-07:00",
-          "2010-02-28T08:48:00-07:00",
-          "2010-02-28T08:49:00-07:00",
-          "2010-02-28T08:50:00-07:00",
-          "2010-02-28T08:51:00-07:00",
-          "2010-02-28T08:52:00-07:00",
-          "2010-02-28T08:53:00-07:00",
-          "2010-02-28T08:54:00-07:00",
-          "2010-02-28T08:55:00-07:00",
-          "2010-02-28T08:56:00-07:00",
-          "2010-02-28T08:57:00-07:00",
-          "2010-02-28T08:58:00-07:00",
-          "2010-02-28T08:59:00-07:00",
-          "2010-02-28T09:00:00-07:00",
-          "2010-02-28T09:01:00-07:00",
-          "2010-02-28T09:02:00-07:00",
-          "2010-02-28T09:03:00-07:00",
-          "2010-02-28T09:04:00-07:00",
-          "2010-02-28T09:05:00-07:00",
-          "2010-02-28T09:06:00-07:00",
-          "2010-02-28T09:07:00-07:00",
-          "2010-02-28T09:08:00-07:00",
-          "2010-02-28T09:09:00-07:00",
-          "2010-02-28T09:10:00-07:00",
-          "2010-02-28T09:11:00-07:00",
-          "2010-02-28T09:12:00-07:00",
-          "2010-02-28T09:13:00-07:00",
-          "2010-02-28T09:14:00-07:00",
-          "2010-02-28T09:15:00-07:00",
-          "2010-02-28T09:16:00-07:00",
-          "2010-02-28T09:17:00-07:00",
-          "2010-02-28T09:18:00-07:00",
-          "2010-02-28T09:19:00-07:00",
-          "2010-02-28T09:20:00-07:00",
-          "2010-02-28T09:21:00-07:00",
-          "2010-02-28T09:22:00-07:00",
-          "2010-02-28T09:23:00-07:00",
-          "2010-02-28T09:24:00-07:00",
-          "2010-02-28T09:25:00-07:00",
-          "2010-02-28T09:26:00-07:00",
-          "2010-02-28T09:27:00-07:00",
-          "2010-02-28T09:28:00-07:00",
-          "2010-02-28T09:29:00-07:00",
-          "2010-02-28T09:30:00-07:00",
-          "2010-02-28T09:31:00-07:00",
-          "2010-02-28T09:32:00-07:00",
-          "2010-02-28T09:33:00-07:00",
-          "2010-02-28T09:34:00-07:00",
-          "2010-02-28T09:35:00-07:00",
-          "2010-02-28T09:36:00-07:00",
-          "2010-02-28T09:37:00-07:00",
-          "2010-02-28T09:38:00-07:00",
-          "2010-02-28T09:39:00-07:00",
-          "2010-02-28T09:40:00-07:00",
-          "2010-02-28T09:41:00-07:00",
-          "2010-02-28T09:42:00-07:00",
-          "2010-02-28T09:43:00-07:00",
-          "2010-02-28T09:44:00-07:00",
-          "2010-02-28T09:45:00-07:00",
-          "2010-02-28T09:46:00-07:00",
-          "2010-02-28T09:47:00-07:00",
-          "2010-02-28T09:48:00-07:00",
-          "2010-02-28T09:49:00-07:00",
-          "2010-02-28T09:50:00-07:00",
-          "2010-02-28T09:51:00-07:00",
-          "2010-02-28T09:52:00-07:00",
-          "2010-02-28T09:53:00-07:00",
-          "2010-02-28T09:54:00-07:00",
-          "2010-02-28T09:55:00-07:00",
-          "2010-02-28T09:56:00-07:00",
-          "2010-02-28T09:57:00-07:00",
-          "2010-02-28T09:58:00-07:00",
-          "2010-02-28T09:59:00-07:00",
-          "2010-02-28T10:00:00-07:00",
-          "2010-02-28T10:01:00-07:00",
-          "2010-02-28T10:02:00-07:00",
-          "2010-02-28T10:03:00-07:00",
-          "2010-02-28T10:04:00-07:00",
-          "2010-02-28T10:05:00-07:00",
-          "2010-02-28T10:06:00-07:00",
-          "2010-02-28T10:07:00-07:00",
-          "2010-02-28T10:08:00-07:00",
-          "2010-02-28T10:09:00-07:00",
-          "2010-02-28T10:10:00-07:00",
-          "2010-02-28T10:11:00-07:00",
-          "2010-02-28T10:12:00-07:00",
-          "2010-02-28T10:13:00-07:00",
-          "2010-02-28T10:14:00-07:00",
-          "2010-02-28T10:15:00-07:00",
-          "2010-02-28T10:16:00-07:00",
-          "2010-02-28T10:17:00-07:00",
-          "2010-02-28T10:18:00-07:00",
-          "2010-02-28T10:19:00-07:00",
-          "2010-02-28T10:20:00-07:00",
-          "2010-02-28T10:21:00-07:00",
-          "2010-02-28T10:22:00-07:00",
-          "2010-02-28T10:23:00-07:00",
-          "2010-02-28T10:24:00-07:00",
-          "2010-02-28T10:25:00-07:00",
-          "2010-02-28T10:26:00-07:00",
-          "2010-02-28T10:27:00-07:00",
-          "2010-02-28T10:28:00-07:00",
-          "2010-02-28T10:29:00-07:00",
-          "2010-02-28T10:30:00-07:00",
-          "2010-02-28T10:31:00-07:00",
-          "2010-02-28T10:32:00-07:00",
-          "2010-02-28T10:33:00-07:00",
-          "2010-02-28T10:34:00-07:00",
-          "2010-02-28T10:35:00-07:00",
-          "2010-02-28T10:36:00-07:00",
-          "2010-02-28T10:37:00-07:00",
-          "2010-02-28T10:38:00-07:00",
-          "2010-02-28T10:39:00-07:00",
-          "2010-02-28T10:40:00-07:00",
-          "2010-02-28T10:41:00-07:00",
-          "2010-02-28T10:42:00-07:00",
-          "2010-02-28T10:43:00-07:00",
-          "2010-02-28T10:44:00-07:00",
-          "2010-02-28T10:45:00-07:00",
-          "2010-02-28T10:46:00-07:00",
-          "2010-02-28T10:47:00-07:00",
-          "2010-02-28T10:48:00-07:00",
-          "2010-02-28T10:49:00-07:00",
-          "2010-02-28T10:50:00-07:00",
-          "2010-02-28T10:51:00-07:00",
-          "2010-02-28T10:52:00-07:00",
-          "2010-02-28T10:53:00-07:00",
-          "2010-02-28T10:54:00-07:00",
-          "2010-02-28T10:55:00-07:00",
-          "2010-02-28T10:56:00-07:00",
-          "2010-02-28T10:57:00-07:00",
-          "2010-02-28T10:58:00-07:00",
-          "2010-02-28T10:59:00-07:00",
-          "2010-02-28T11:00:00-07:00",
-          "2010-02-28T11:01:00-07:00",
-          "2010-02-28T11:02:00-07:00",
-          "2010-02-28T11:03:00-07:00",
-          "2010-02-28T11:05:00-07:00",
-          "2010-02-28T11:07:00-07:00",
-          "2010-02-28T11:08:00-07:00",
-          "2010-02-28T11:09:00-07:00",
-          "2010-02-28T11:10:00-07:00",
-          "2010-02-28T11:12:00-07:00",
-          "2010-02-28T11:13:00-07:00",
-          "2010-02-28T11:14:00-07:00",
-          "2010-02-28T11:15:00-07:00",
-          "2010-02-28T11:16:00-07:00",
-          "2010-02-28T11:18:00-07:00",
-          "2010-02-28T11:19:00-07:00",
-          "2010-02-28T11:20:00-07:00",
-          "2010-02-28T11:21:00-07:00",
-          "2010-02-28T11:22:00-07:00",
-          "2010-02-28T11:23:00-07:00",
-          "2010-02-28T11:24:00-07:00",
-          "2010-02-28T11:25:00-07:00",
-          "2010-02-28T11:26:00-07:00",
-          "2010-02-28T11:27:00-07:00",
-          "2010-02-28T11:28:00-07:00",
-          "2010-02-28T11:29:00-07:00",
-          "2010-02-28T11:30:00-07:00",
-          "2010-02-28T11:31:00-07:00",
-          "2010-02-28T11:33:00-07:00",
-          "2010-02-28T11:34:00-07:00",
-          "2010-02-28T11:35:00-07:00",
-          "2010-02-28T11:36:00-07:00",
-          "2010-02-28T11:37:00-07:00",
-          "2010-02-28T11:38:00-07:00",
-          "2010-02-28T11:39:00-07:00",
-          "2010-02-28T11:40:00-07:00",
-          "2010-02-28T11:42:00-07:00",
-          "2010-02-28T11:43:00-07:00",
-          "2010-02-28T11:44:00-07:00",
-          "2010-02-28T11:47:00-07:00",
-          "2010-02-28T11:48:00-07:00",
-          "2010-02-28T11:50:00-07:00",
-          "2010-02-28T11:51:00-07:00",
-          "2010-02-28T11:52:00-07:00",
-          "2010-02-28T11:53:00-07:00",
-          "2010-02-28T11:54:00-07:00",
-          "2010-02-28T11:55:00-07:00",
-          "2010-02-28T11:56:00-07:00",
-          "2010-02-28T11:57:00-07:00",
-          "2010-02-28T11:58:00-07:00",
-          "2010-02-28T11:59:00-07:00",
-          "2010-02-28T12:02:00-07:00",
-          "2010-02-28T12:03:00-07:00",
-          "2010-02-28T12:04:00-07:00",
-          "2010-02-28T12:07:00-07:00",
-          "2010-02-28T12:11:00-07:00",
-          "2010-02-28T12:16:00-07:00",
-          "2010-02-28T12:17:00-07:00",
-          "2010-02-28T12:20:00-07:00",
-          "2010-02-28T12:21:00-07:00",
-          "2010-02-28T12:22:00-07:00",
-          "2010-02-28T12:23:00-07:00",
-          "2010-02-28T12:24:00-07:00",
-          "2010-02-28T12:27:00-07:00",
-          "2010-02-28T12:28:00-07:00",
-          "2010-02-28T12:31:00-07:00",
-          "2010-02-28T12:32:00-07:00",
-          "2010-02-28T12:36:00-07:00",
-          "2010-02-28T12:39:00-07:00",
-          "2010-02-28T12:40:00-07:00",
-          "2010-02-28T12:41:00-07:00",
-          "2010-02-28T12:45:00-07:00",
-          "2010-02-28T12:46:00-07:00",
-          "2010-02-28T12:48:00-07:00",
-          "2010-02-28T12:49:00-07:00",
-          "2010-02-28T12:53:00-07:00",
-          "2010-02-28T12:55:00-07:00",
-          "2010-02-28T12:56:00-07:00",
-          "2010-02-28T12:57:00-07:00",
-          "2010-02-28T12:58:00-07:00",
-          "2010-02-28T13:00:00-07:00",
-          "2010-02-28T13:02:00-07:00",
-          "2010-02-28T13:03:00-07:00",
-          "2010-02-28T13:06:00-07:00",
-          "2010-02-28T13:11:00-07:00",
-          "2010-02-28T13:13:00-07:00",
-          "2010-02-28T13:14:00-07:00",
-          "2010-02-28T13:19:00-07:00",
-          "2010-02-28T13:20:00-07:00",
-          "2010-02-28T13:22:00-07:00",
-          "2010-02-28T13:24:00-07:00",
-          "2010-02-28T13:27:00-07:00",
-          "2010-02-28T13:28:00-07:00",
-          "2010-02-28T13:29:00-07:00",
-          "2010-02-28T13:30:00-07:00",
-          "2010-02-28T13:31:00-07:00",
-          "2010-02-28T13:32:00-07:00",
-          "2010-02-28T13:33:00-07:00",
-          "2010-02-28T13:34:00-07:00",
-          "2010-02-28T13:35:00-07:00",
-          "2010-02-28T13:36:00-07:00",
-          "2010-02-28T13:37:00-07:00",
-          "2010-02-28T13:38:00-07:00",
-          "2010-02-28T13:39:00-07:00",
-          "2010-02-28T13:40:00-07:00",
-          "2010-02-28T13:41:00-07:00",
-          "2010-02-28T13:42:00-07:00",
-          "2010-02-28T13:43:00-07:00",
-          "2010-02-28T13:44:00-07:00",
-          "2010-02-28T13:45:00-07:00",
-          "2010-02-28T13:46:00-07:00",
-          "2010-02-28T13:47:00-07:00",
-          "2010-02-28T13:48:00-07:00",
-          "2010-02-28T13:49:00-07:00",
-          "2010-02-28T13:50:00-07:00",
-          "2010-02-28T13:51:00-07:00",
-          "2010-02-28T13:52:00-07:00",
-          "2010-02-28T13:53:00-07:00",
-          "2010-02-28T13:54:00-07:00",
-          "2010-02-28T13:55:00-07:00",
-          "2010-02-28T13:56:00-07:00",
-          "2010-02-28T13:57:00-07:00",
-          "2010-02-28T13:58:00-07:00",
-          "2010-02-28T13:59:00-07:00",
-          "2010-02-28T14:00:00-07:00",
-          "2010-02-28T14:01:00-07:00",
-          "2010-02-28T14:02:00-07:00",
-          "2010-02-28T14:03:00-07:00",
-          "2010-02-28T14:04:00-07:00",
-          "2010-02-28T14:05:00-07:00",
-          "2010-02-28T14:06:00-07:00",
-          "2010-02-28T14:07:00-07:00",
-          "2010-02-28T14:08:00-07:00",
-          "2010-02-28T14:09:00-07:00",
-          "2010-02-28T14:10:00-07:00",
-          "2010-02-28T14:11:00-07:00",
-          "2010-02-28T14:12:00-07:00",
-          "2010-02-28T14:13:00-07:00",
-          "2010-02-28T14:14:00-07:00",
-          "2010-02-28T14:15:00-07:00",
-          "2010-02-28T14:16:00-07:00",
-          "2010-02-28T14:17:00-07:00",
-          "2010-02-28T14:18:00-07:00",
-          "2010-02-28T14:19:00-07:00",
-          "2010-02-28T14:20:00-07:00",
-          "2010-02-28T14:21:00-07:00",
-          "2010-02-28T14:22:00-07:00",
-          "2010-02-28T14:23:00-07:00",
-          "2010-02-28T14:24:00-07:00",
-          "2010-02-28T14:25:00-07:00",
-          "2010-02-28T14:26:00-07:00",
-          "2010-02-28T14:27:00-07:00",
-          "2010-02-28T14:28:00-07:00",
-          "2010-02-28T14:29:00-07:00",
-          "2010-02-28T14:30:00-07:00",
-          "2010-02-28T14:31:00-07:00",
-          "2010-02-28T14:32:00-07:00",
-          "2010-02-28T14:33:00-07:00",
-          "2010-02-28T14:34:00-07:00",
-          "2010-02-28T14:35:00-07:00",
-          "2010-02-28T14:36:00-07:00",
-          "2010-02-28T14:37:00-07:00",
-          "2010-02-28T14:38:00-07:00",
-          "2010-02-28T14:39:00-07:00",
-          "2010-02-28T14:40:00-07:00",
-          "2010-02-28T14:41:00-07:00",
-          "2010-02-28T14:42:00-07:00",
-          "2010-02-28T14:43:00-07:00",
-          "2010-02-28T14:44:00-07:00",
-          "2010-02-28T14:45:00-07:00",
-          "2010-02-28T14:46:00-07:00",
-          "2010-02-28T14:47:00-07:00",
-          "2010-02-28T14:48:00-07:00",
-          "2010-02-28T14:49:00-07:00",
-          "2010-02-28T14:50:00-07:00",
-          "2010-02-28T14:51:00-07:00",
-          "2010-02-28T14:52:00-07:00",
-          "2010-02-28T14:53:00-07:00",
-          "2010-02-28T14:54:00-07:00",
-          "2010-02-28T14:55:00-07:00",
-          "2010-02-28T14:56:00-07:00",
-          "2010-02-28T14:57:00-07:00",
-          "2010-02-28T14:58:00-07:00",
-          "2010-02-28T14:59:00-07:00",
-          "2010-02-28T15:00:00-07:00",
-          "2010-02-28T15:01:00-07:00",
-          "2010-02-28T15:02:00-07:00",
-          "2010-02-28T15:03:00-07:00",
-          "2010-02-28T15:04:00-07:00",
-          "2010-02-28T15:05:00-07:00",
-          "2010-02-28T15:06:00-07:00",
-          "2010-02-28T15:07:00-07:00",
-          "2010-02-28T15:08:00-07:00",
-          "2010-02-28T15:09:00-07:00",
-          "2010-02-28T15:10:00-07:00",
-          "2010-02-28T15:11:00-07:00",
-          "2010-02-28T15:12:00-07:00",
-          "2010-02-28T15:13:00-07:00",
-          "2010-02-28T15:14:00-07:00",
-          "2010-02-28T15:15:00-07:00",
-          "2010-02-28T15:16:00-07:00",
-          "2010-02-28T15:17:00-07:00",
-          "2010-02-28T15:18:00-07:00",
-          "2010-02-28T15:19:00-07:00",
-          "2010-02-28T15:20:00-07:00",
-          "2010-02-28T15:21:00-07:00",
-          "2010-02-28T15:22:00-07:00",
-          "2010-02-28T15:23:00-07:00",
-          "2010-02-28T15:24:00-07:00",
-          "2010-02-28T15:25:00-07:00",
-          "2010-02-28T15:26:00-07:00",
-          "2010-02-28T15:27:00-07:00",
-          "2010-02-28T15:28:00-07:00",
-          "2010-02-28T15:29:00-07:00",
-          "2010-02-28T15:30:00-07:00",
-          "2010-02-28T15:31:00-07:00",
-          "2010-02-28T15:32:00-07:00",
-          "2010-02-28T15:33:00-07:00",
-          "2010-02-28T15:34:00-07:00",
-          "2010-02-28T15:35:00-07:00",
-          "2010-02-28T15:36:00-07:00",
-          "2010-02-28T15:37:00-07:00",
-          "2010-02-28T15:38:00-07:00",
-          "2010-02-28T15:39:00-07:00",
-          "2010-02-28T15:40:00-07:00",
-          "2010-02-28T15:41:00-07:00",
-          "2010-02-28T15:42:00-07:00",
-          "2010-02-28T15:43:00-07:00",
-          "2010-02-28T15:44:00-07:00",
-          "2010-02-28T15:45:00-07:00",
-          "2010-02-28T15:46:00-07:00",
-          "2010-02-28T15:47:00-07:00",
-          "2010-02-28T15:48:00-07:00",
-          "2010-02-28T15:49:00-07:00",
-          "2010-02-28T15:50:00-07:00",
-          "2010-02-28T15:51:00-07:00",
-          "2010-02-28T15:52:00-07:00",
-          "2010-02-28T15:53:00-07:00",
-          "2010-02-28T15:54:00-07:00",
-          "2010-02-28T15:55:00-07:00",
-          "2010-02-28T15:56:00-07:00",
-          "2010-02-28T15:57:00-07:00",
-          "2010-02-28T15:58:00-07:00",
-          "2010-02-28T15:59:00-07:00",
-          "2010-02-28T16:00:00-07:00",
-          "2010-02-28T16:01:00-07:00",
-          "2010-02-28T16:02:00-07:00",
-          "2010-02-28T16:03:00-07:00",
-          "2010-02-28T16:04:00-07:00",
-          "2010-02-28T16:05:00-07:00",
-          "2010-02-28T16:06:00-07:00",
-          "2010-02-28T16:07:00-07:00",
-          "2010-02-28T16:08:00-07:00",
-          "2010-02-28T16:09:00-07:00",
-          "2010-02-28T16:10:00-07:00",
-          "2010-02-28T16:11:00-07:00",
-          "2010-02-28T16:12:00-07:00",
-          "2010-02-28T16:13:00-07:00",
-          "2010-02-28T16:14:00-07:00",
-          "2010-02-28T16:15:00-07:00",
-          "2010-02-28T16:16:00-07:00",
-          "2010-02-28T16:17:00-07:00",
-          "2010-02-28T16:18:00-07:00",
-          "2010-02-28T16:19:00-07:00",
-          "2010-02-28T16:20:00-07:00",
-          "2010-02-28T16:21:00-07:00",
-          "2010-02-28T16:22:00-07:00",
-          "2010-02-28T16:23:00-07:00",
-          "2010-02-28T16:24:00-07:00",
-          "2010-02-28T16:25:00-07:00",
-          "2010-02-28T16:26:00-07:00",
-          "2010-02-28T16:27:00-07:00",
-          "2010-02-28T16:28:00-07:00",
-          "2010-02-28T16:29:00-07:00",
-          "2010-02-28T16:30:00-07:00",
-          "2010-02-28T16:31:00-07:00",
-          "2010-02-28T16:35:00-07:00",
-          "2010-03-01T07:40:00-07:00",
-          "2010-03-01T07:43:00-07:00",
-          "2010-03-01T07:44:00-07:00",
-          "2010-03-01T07:45:00-07:00",
-          "2010-03-01T07:46:00-07:00",
-          "2010-03-01T07:47:00-07:00",
-          "2010-03-01T07:48:00-07:00",
-          "2010-03-01T07:53:00-07:00",
-          "2010-03-01T07:54:00-07:00",
-          "2010-03-01T07:55:00-07:00",
-          "2010-03-01T07:56:00-07:00",
-          "2010-03-01T07:57:00-07:00",
-          "2010-03-01T07:58:00-07:00",
-          "2010-03-01T07:59:00-07:00",
-          "2010-03-01T08:00:00-07:00",
-          "2010-03-01T08:01:00-07:00",
-          "2010-03-01T08:02:00-07:00",
-          "2010-03-01T08:03:00-07:00",
-          "2010-03-01T08:04:00-07:00",
-          "2010-03-01T08:05:00-07:00",
-          "2010-03-01T08:06:00-07:00",
-          "2010-03-01T08:07:00-07:00",
-          "2010-03-01T08:08:00-07:00",
-          "2010-03-01T08:09:00-07:00",
-          "2010-03-01T08:10:00-07:00",
-          "2010-03-01T08:11:00-07:00",
-          "2010-03-01T08:12:00-07:00",
-          "2010-03-01T08:13:00-07:00",
-          "2010-03-01T08:14:00-07:00",
-          "2010-03-01T08:15:00-07:00",
-          "2010-03-01T08:16:00-07:00",
-          "2010-03-01T08:17:00-07:00",
-          "2010-03-01T08:18:00-07:00",
-          "2010-03-01T08:19:00-07:00",
-          "2010-03-01T08:20:00-07:00",
-          "2010-03-01T08:21:00-07:00",
-          "2010-03-01T08:22:00-07:00",
-          "2010-03-01T08:23:00-07:00",
-          "2010-03-01T08:24:00-07:00",
-          "2010-03-01T08:25:00-07:00",
-          "2010-03-01T08:26:00-07:00",
-          "2010-03-01T08:27:00-07:00",
-          "2010-03-01T08:28:00-07:00",
-          "2010-03-01T08:29:00-07:00",
-          "2010-03-01T08:30:00-07:00",
-          "2010-03-01T08:31:00-07:00",
-          "2010-03-01T08:32:00-07:00",
-          "2010-03-01T08:33:00-07:00",
-          "2010-03-01T08:34:00-07:00",
-          "2010-03-01T08:35:00-07:00",
-          "2010-03-01T08:36:00-07:00",
-          "2010-03-01T08:37:00-07:00",
-          "2010-03-01T08:38:00-07:00",
-          "2010-03-01T08:39:00-07:00",
-          "2010-03-01T08:40:00-07:00",
-          "2010-03-01T08:41:00-07:00",
-          "2010-03-01T08:42:00-07:00",
-          "2010-03-01T08:43:00-07:00",
-          "2010-03-01T08:44:00-07:00",
-          "2010-03-01T08:45:00-07:00",
-          "2010-03-01T08:46:00-07:00",
-          "2010-03-01T08:47:00-07:00",
-          "2010-03-01T08:48:00-07:00",
-          "2010-03-01T08:49:00-07:00",
-          "2010-03-01T08:50:00-07:00",
-          "2010-03-01T08:51:00-07:00",
-          "2010-03-01T08:52:00-07:00",
-          "2010-03-01T08:53:00-07:00",
-          "2010-03-01T08:54:00-07:00",
-          "2010-03-01T08:55:00-07:00",
-          "2010-03-01T08:56:00-07:00",
-          "2010-03-01T08:57:00-07:00",
-          "2010-03-01T08:58:00-07:00",
-          "2010-03-01T08:59:00-07:00",
-          "2010-03-01T09:00:00-07:00",
-          "2010-03-01T09:01:00-07:00",
-          "2010-03-01T09:02:00-07:00",
-          "2010-03-01T09:03:00-07:00",
-          "2010-03-01T09:04:00-07:00",
-          "2010-03-01T09:05:00-07:00",
-          "2010-03-01T09:06:00-07:00",
-          "2010-03-01T09:07:00-07:00",
-          "2010-03-01T09:08:00-07:00",
-          "2010-03-01T09:09:00-07:00",
-          "2010-03-01T09:10:00-07:00",
-          "2010-03-01T09:11:00-07:00",
-          "2010-03-01T09:12:00-07:00",
-          "2010-03-01T09:13:00-07:00",
-          "2010-03-01T09:14:00-07:00",
-          "2010-03-01T09:15:00-07:00",
-          "2010-03-01T09:16:00-07:00",
-          "2010-03-01T09:17:00-07:00",
-          "2010-03-01T09:18:00-07:00",
-          "2010-03-01T09:19:00-07:00",
-          "2010-03-01T09:20:00-07:00",
-          "2010-03-01T09:21:00-07:00",
-          "2010-03-01T09:22:00-07:00",
-          "2010-03-01T09:23:00-07:00",
-          "2010-03-01T09:24:00-07:00",
-          "2010-03-01T09:25:00-07:00",
-          "2010-03-01T09:26:00-07:00",
-          "2010-03-01T09:27:00-07:00",
-          "2010-03-01T09:28:00-07:00",
-          "2010-03-01T09:29:00-07:00",
-          "2010-03-01T09:30:00-07:00",
-          "2010-03-01T09:31:00-07:00",
-          "2010-03-01T09:32:00-07:00",
-          "2010-03-01T09:33:00-07:00",
-          "2010-03-01T09:34:00-07:00",
-          "2010-03-01T09:35:00-07:00",
-          "2010-03-01T09:36:00-07:00",
-          "2010-03-01T09:37:00-07:00",
-          "2010-03-01T09:38:00-07:00",
-          "2010-03-01T09:39:00-07:00",
-          "2010-03-01T09:40:00-07:00",
-          "2010-03-01T09:41:00-07:00",
-          "2010-03-01T09:42:00-07:00",
-          "2010-03-01T09:43:00-07:00",
-          "2010-03-01T09:44:00-07:00",
-          "2010-03-01T09:45:00-07:00",
-          "2010-03-01T09:46:00-07:00",
-          "2010-03-01T09:47:00-07:00",
-          "2010-03-01T09:48:00-07:00",
-          "2010-03-01T09:49:00-07:00",
-          "2010-03-01T09:50:00-07:00",
-          "2010-03-01T09:51:00-07:00",
-          "2010-03-01T09:52:00-07:00",
-          "2010-03-01T09:53:00-07:00",
-          "2010-03-01T09:54:00-07:00",
-          "2010-03-01T09:55:00-07:00",
-          "2010-03-01T09:56:00-07:00",
-          "2010-03-01T09:57:00-07:00",
-          "2010-03-01T09:58:00-07:00",
-          "2010-03-01T09:59:00-07:00",
-          "2010-03-01T10:00:00-07:00",
-          "2010-03-01T10:01:00-07:00",
-          "2010-03-01T10:02:00-07:00",
-          "2010-03-01T10:04:00-07:00",
-          "2010-03-01T10:05:00-07:00",
-          "2010-03-01T10:06:00-07:00",
-          "2010-03-01T10:10:00-07:00",
-          "2010-03-01T10:11:00-07:00",
-          "2010-03-01T10:13:00-07:00",
-          "2010-03-01T10:14:00-07:00",
-          "2010-03-01T10:15:00-07:00",
-          "2010-03-01T10:16:00-07:00",
-          "2010-03-01T10:19:00-07:00",
-          "2010-03-01T10:20:00-07:00",
-          "2010-03-01T10:21:00-07:00",
-          "2010-03-01T10:22:00-07:00",
-          "2010-03-01T10:23:00-07:00",
-          "2010-03-01T10:27:00-07:00",
-          "2010-03-01T10:28:00-07:00",
-          "2010-03-01T10:29:00-07:00",
-          "2010-03-01T10:31:00-07:00",
-          "2010-03-01T10:32:00-07:00",
-          "2010-03-01T10:33:00-07:00",
-          "2010-03-01T10:34:00-07:00",
-          "2010-03-01T10:35:00-07:00",
-          "2010-03-01T10:37:00-07:00",
-          "2010-03-01T10:38:00-07:00",
-          "2010-03-01T10:40:00-07:00",
-          "2010-03-01T10:41:00-07:00",
-          "2010-03-01T10:42:00-07:00",
-          "2010-03-01T10:43:00-07:00",
-          "2010-03-01T10:44:00-07:00",
-          "2010-03-01T10:45:00-07:00",
-          "2010-03-01T10:46:00-07:00",
-          "2010-03-01T10:48:00-07:00",
-          "2010-03-01T10:51:00-07:00",
-          "2010-03-01T10:57:00-07:00",
-          "2010-03-01T10:58:00-07:00",
-          "2010-03-01T11:01:00-07:00",
-          "2010-03-01T11:05:00-07:00",
-          "2010-03-01T11:06:00-07:00",
-          "2010-03-01T11:07:00-07:00",
-          "2010-03-01T11:08:00-07:00",
-          "2010-03-01T11:09:00-07:00",
-          "2010-03-01T11:10:00-07:00",
-          "2010-03-01T11:15:00-07:00",
-          "2010-03-01T11:16:00-07:00",
-          "2010-03-01T11:27:00-07:00",
-          "2010-03-01T11:29:00-07:00",
-          "2010-03-01T11:30:00-07:00",
-          "2010-03-01T11:31:00-07:00",
-          "2010-03-01T11:33:00-07:00",
-          "2010-03-01T11:34:00-07:00",
-          "2010-03-01T11:35:00-07:00",
-          "2010-03-01T11:36:00-07:00",
-          "2010-03-01T11:38:00-07:00",
-          "2010-03-01T11:40:00-07:00",
-          "2010-03-01T11:41:00-07:00",
-          "2010-03-01T11:42:00-07:00",
-          "2010-03-01T11:44:00-07:00",
-          "2010-03-01T11:45:00-07:00",
-          "2010-03-01T11:47:00-07:00",
-          "2010-03-01T11:49:00-07:00",
-          "2010-03-01T11:51:00-07:00",
-          "2010-03-01T11:52:00-07:00",
-          "2010-03-01T11:53:00-07:00",
-          "2010-03-01T11:57:00-07:00",
-          "2010-03-01T12:00:00-07:00",
-          "2010-03-01T12:01:00-07:00",
-          "2010-03-01T12:02:00-07:00",
-          "2010-03-01T12:03:00-07:00",
-          "2010-03-01T12:07:00-07:00",
-          "2010-03-01T12:08:00-07:00",
-          "2010-03-01T12:09:00-07:00",
-          "2010-03-01T12:12:00-07:00",
-          "2010-03-01T12:13:00-07:00",
-          "2010-03-01T12:14:00-07:00",
-          "2010-03-01T12:15:00-07:00",
-          "2010-03-01T12:16:00-07:00",
-          "2010-03-01T12:17:00-07:00",
-          "2010-03-01T12:19:00-07:00",
-          "2010-03-01T12:20:00-07:00",
-          "2010-03-01T12:21:00-07:00",
-          "2010-03-01T12:22:00-07:00",
-          "2010-03-01T12:23:00-07:00",
-          "2010-03-01T12:24:00-07:00",
-          "2010-03-01T12:25:00-07:00",
-          "2010-03-01T12:27:00-07:00",
-          "2010-03-01T12:28:00-07:00",
-          "2010-03-01T12:29:00-07:00",
-          "2010-03-01T12:30:00-07:00",
-          "2010-03-01T12:31:00-07:00",
-          "2010-03-01T12:34:00-07:00",
-          "2010-03-01T12:35:00-07:00",
-          "2010-03-01T12:36:00-07:00",
-          "2010-03-01T12:38:00-07:00",
-          "2010-03-01T12:39:00-07:00",
-          "2010-03-01T12:40:00-07:00",
-          "2010-03-01T12:44:00-07:00",
-          "2010-03-01T12:45:00-07:00",
-          "2010-03-01T12:46:00-07:00",
-          "2010-03-01T12:47:00-07:00",
-          "2010-03-01T12:50:00-07:00",
-          "2010-03-01T12:51:00-07:00",
-          "2010-03-01T12:52:00-07:00",
-          "2010-03-01T12:53:00-07:00",
-          "2010-03-01T12:54:00-07:00",
-          "2010-03-01T12:55:00-07:00",
-          "2010-03-01T12:56:00-07:00",
-          "2010-03-01T12:57:00-07:00",
-          "2010-03-01T13:01:00-07:00",
-          "2010-03-01T13:02:00-07:00",
-          "2010-03-01T13:03:00-07:00",
-          "2010-03-01T13:04:00-07:00",
-          "2010-03-01T13:05:00-07:00",
-          "2010-03-01T13:06:00-07:00",
-          "2010-03-01T13:07:00-07:00",
-          "2010-03-01T13:08:00-07:00",
-          "2010-03-01T13:09:00-07:00",
-          "2010-03-01T13:10:00-07:00",
-          "2010-03-01T13:11:00-07:00",
-          "2010-03-01T13:15:00-07:00",
-          "2010-03-01T13:16:00-07:00",
-          "2010-03-01T13:19:00-07:00",
-          "2010-03-01T13:20:00-07:00",
-          "2010-03-01T13:21:00-07:00",
-          "2010-03-01T13:22:00-07:00",
-          "2010-03-01T13:23:00-07:00",
-          "2010-03-01T13:26:00-07:00",
-          "2010-03-01T13:27:00-07:00",
-          "2010-03-01T13:28:00-07:00",
-          "2010-03-01T13:30:00-07:00",
-          "2010-03-01T13:31:00-07:00",
-          "2010-03-01T13:33:00-07:00",
-          "2010-03-01T13:34:00-07:00",
-          "2010-03-01T13:35:00-07:00",
-          "2010-03-01T13:39:00-07:00",
-          "2010-03-01T13:41:00-07:00",
-          "2010-03-01T13:42:00-07:00",
-          "2010-03-01T13:43:00-07:00",
-          "2010-03-01T13:44:00-07:00",
-          "2010-03-01T13:46:00-07:00",
-          "2010-03-01T13:48:00-07:00",
-          "2010-03-01T13:51:00-07:00",
-          "2010-03-01T13:53:00-07:00",
-          "2010-03-01T13:54:00-07:00",
-          "2010-03-01T13:55:00-07:00",
-          "2010-03-01T13:56:00-07:00",
-          "2010-03-01T13:57:00-07:00",
-          "2010-03-01T13:58:00-07:00",
-          "2010-03-01T13:59:00-07:00",
-          "2010-03-01T14:00:00-07:00",
-          "2010-03-01T14:01:00-07:00",
-          "2010-03-01T14:02:00-07:00",
-          "2010-03-01T14:03:00-07:00",
-          "2010-03-01T14:04:00-07:00",
-          "2010-03-01T14:05:00-07:00",
-          "2010-03-01T14:06:00-07:00",
-          "2010-03-01T14:07:00-07:00",
-          "2010-03-01T14:08:00-07:00",
-          "2010-03-01T14:09:00-07:00",
-          "2010-03-01T14:10:00-07:00",
-          "2010-03-01T14:11:00-07:00",
-          "2010-03-01T14:12:00-07:00",
-          "2010-03-01T14:13:00-07:00",
-          "2010-03-01T14:14:00-07:00",
-          "2010-03-01T14:15:00-07:00",
-          "2010-03-01T14:16:00-07:00",
-          "2010-03-01T14:17:00-07:00",
-          "2010-03-01T14:18:00-07:00",
-          "2010-03-01T14:19:00-07:00",
-          "2010-03-01T14:20:00-07:00",
-          "2010-03-01T14:21:00-07:00",
-          "2010-03-01T14:22:00-07:00",
-          "2010-03-01T14:23:00-07:00",
-          "2010-03-01T14:24:00-07:00",
-          "2010-03-01T14:25:00-07:00",
-          "2010-03-01T14:26:00-07:00",
-          "2010-03-01T14:27:00-07:00",
-          "2010-03-01T14:28:00-07:00",
-          "2010-03-01T14:29:00-07:00",
-          "2010-03-01T14:30:00-07:00",
-          "2010-03-01T14:31:00-07:00",
-          "2010-03-01T14:32:00-07:00",
-          "2010-03-01T14:33:00-07:00",
-          "2010-03-01T14:35:00-07:00",
-          "2010-03-01T14:36:00-07:00",
-          "2010-03-01T14:37:00-07:00",
-          "2010-03-01T14:38:00-07:00",
-          "2010-03-01T14:41:00-07:00",
-          "2010-03-01T14:43:00-07:00",
-          "2010-03-01T14:44:00-07:00",
-          "2010-03-01T14:45:00-07:00",
-          "2010-03-01T14:46:00-07:00",
-          "2010-03-01T14:47:00-07:00",
-          "2010-03-01T14:48:00-07:00",
-          "2010-03-01T14:49:00-07:00",
-          "2010-03-01T14:50:00-07:00",
-          "2010-03-01T14:51:00-07:00",
-          "2010-03-01T14:52:00-07:00",
-          "2010-03-01T14:53:00-07:00",
-          "2010-03-01T14:54:00-07:00",
-          "2010-03-01T14:55:00-07:00",
-          "2010-03-01T14:56:00-07:00",
-          "2010-03-01T14:57:00-07:00",
-          "2010-03-01T14:58:00-07:00",
-          "2010-03-01T14:59:00-07:00",
-          "2010-03-01T15:00:00-07:00",
-          "2010-03-01T15:01:00-07:00",
-          "2010-03-01T15:02:00-07:00",
-          "2010-03-01T15:03:00-07:00",
-          "2010-03-01T15:04:00-07:00",
-          "2010-03-01T15:05:00-07:00",
-          "2010-03-01T15:06:00-07:00",
-          "2010-03-01T15:07:00-07:00",
-          "2010-03-01T15:08:00-07:00",
-          "2010-03-01T15:09:00-07:00",
-          "2010-03-01T15:10:00-07:00",
-          "2010-03-01T15:11:00-07:00",
-          "2010-03-01T15:12:00-07:00",
-          "2010-03-01T15:13:00-07:00",
-          "2010-03-01T15:14:00-07:00",
-          "2010-03-01T15:15:00-07:00",
-          "2010-03-01T15:16:00-07:00",
-          "2010-03-01T15:17:00-07:00",
-          "2010-03-01T15:18:00-07:00",
-          "2010-03-01T15:19:00-07:00",
-          "2010-03-01T15:20:00-07:00",
-          "2010-03-01T15:21:00-07:00",
-          "2010-03-01T15:22:00-07:00",
-          "2010-03-01T15:23:00-07:00",
-          "2010-03-01T15:24:00-07:00",
-          "2010-03-01T15:25:00-07:00",
-          "2010-03-01T15:26:00-07:00",
-          "2010-03-01T15:27:00-07:00",
-          "2010-03-01T15:28:00-07:00",
-          "2010-03-01T15:29:00-07:00",
-          "2010-03-01T15:30:00-07:00",
-          "2010-03-01T15:31:00-07:00",
-          "2010-03-01T15:32:00-07:00",
-          "2010-03-01T15:33:00-07:00",
-          "2010-03-01T15:34:00-07:00",
-          "2010-03-01T15:35:00-07:00",
-          "2010-03-01T15:36:00-07:00",
-          "2010-03-01T15:37:00-07:00",
-          "2010-03-01T15:38:00-07:00",
-          "2010-03-01T15:39:00-07:00",
-          "2010-03-01T15:40:00-07:00",
-          "2010-03-01T15:41:00-07:00",
-          "2010-03-01T15:42:00-07:00",
-          "2010-03-01T15:43:00-07:00",
-          "2010-03-01T15:44:00-07:00",
-          "2010-03-01T15:45:00-07:00",
-          "2010-03-01T15:46:00-07:00",
-          "2010-03-01T15:47:00-07:00",
-          "2010-03-01T15:48:00-07:00",
-          "2010-03-01T15:49:00-07:00",
-          "2010-03-01T15:50:00-07:00",
-          "2010-03-01T15:51:00-07:00",
-          "2010-03-01T15:52:00-07:00",
-          "2010-03-01T15:53:00-07:00",
-          "2010-03-01T15:54:00-07:00",
-          "2010-03-01T15:55:00-07:00",
-          "2010-03-01T15:56:00-07:00",
-          "2010-03-01T15:57:00-07:00",
-          "2010-03-01T15:58:00-07:00",
-          "2010-03-01T15:59:00-07:00",
-          "2010-03-01T16:00:00-07:00",
-          "2010-03-01T16:01:00-07:00",
-          "2010-03-01T16:02:00-07:00",
-          "2010-03-01T16:03:00-07:00",
-          "2010-03-01T16:04:00-07:00",
-          "2010-03-01T16:05:00-07:00",
-          "2010-03-01T16:06:00-07:00",
-          "2010-03-01T16:07:00-07:00",
-          "2010-03-01T16:08:00-07:00",
-          "2010-03-01T16:09:00-07:00",
-          "2010-03-01T16:10:00-07:00",
-          "2010-03-01T16:11:00-07:00",
-          "2010-03-01T16:12:00-07:00",
-          "2010-03-01T16:13:00-07:00",
-          "2010-03-01T16:14:00-07:00",
-          "2010-03-01T16:15:00-07:00",
-          "2010-03-01T16:16:00-07:00",
-          "2010-03-01T16:17:00-07:00",
-          "2010-03-01T16:18:00-07:00",
-          "2010-03-01T16:19:00-07:00",
-          "2010-03-01T16:20:00-07:00",
-          "2010-03-01T16:21:00-07:00",
-          "2010-03-01T16:22:00-07:00",
-          "2010-03-01T16:23:00-07:00",
-          "2010-03-01T16:24:00-07:00",
-          "2010-03-01T16:25:00-07:00",
-          "2010-03-01T16:26:00-07:00",
-          "2010-03-01T16:27:00-07:00",
-          "2010-03-01T16:28:00-07:00",
-          "2010-03-01T16:29:00-07:00",
-          "2010-03-01T16:30:00-07:00",
-          "2010-03-01T16:31:00-07:00",
-          "2010-03-01T16:32:00-07:00",
-          "2010-03-01T16:33:00-07:00",
-          "2010-03-01T16:34:00-07:00",
-          "2010-03-01T16:35:00-07:00",
-          "2010-03-01T16:36:00-07:00",
-          "2010-03-01T16:37:00-07:00",
-          "2010-03-01T16:38:00-07:00",
-          "2010-03-01T16:39:00-07:00",
-          "2010-03-01T16:40:00-07:00",
-          "2010-03-01T16:41:00-07:00",
-          "2010-03-01T16:42:00-07:00",
-          "2010-03-01T16:43:00-07:00",
-          "2010-03-01T16:44:00-07:00",
-          "2010-03-01T16:45:00-07:00",
-          "2010-03-01T16:46:00-07:00",
-          "2010-03-01T16:47:00-07:00",
-          "2010-03-01T16:48:00-07:00",
-          "2010-03-01T16:49:00-07:00",
-          "2010-03-01T16:50:00-07:00",
-          "2010-03-01T16:51:00-07:00",
-          "2010-03-01T16:52:00-07:00",
-          "2010-03-01T16:53:00-07:00",
-          "2010-03-01T16:54:00-07:00",
-          "2010-03-01T16:55:00-07:00",
-          "2010-03-01T16:56:00-07:00",
-          "2010-03-01T16:57:00-07:00",
-          "2010-03-01T16:58:00-07:00",
-          "2010-03-01T16:59:00-07:00",
-          "2010-03-01T17:00:00-07:00",
-          "2010-03-01T17:01:00-07:00",
-          "2010-03-01T17:02:00-07:00",
-          "2010-03-01T17:03:00-07:00",
-          "2010-03-01T17:04:00-07:00",
-          "2010-03-01T17:05:00-07:00",
-          "2010-03-01T17:06:00-07:00",
-          "2010-03-01T17:07:00-07:00",
-          "2010-03-01T17:08:00-07:00",
-          "2010-03-01T17:09:00-07:00",
-          "2010-03-01T17:10:00-07:00",
-          "2010-03-01T17:11:00-07:00",
-          "2010-03-01T17:12:00-07:00",
-          "2010-03-01T17:13:00-07:00",
-          "2010-03-01T17:14:00-07:00",
-          "2010-03-01T17:15:00-07:00",
-          "2010-03-01T17:16:00-07:00",
-          "2010-03-01T17:17:00-07:00",
-          "2010-03-01T17:18:00-07:00",
-          "2010-03-01T17:19:00-07:00",
-          "2010-03-01T17:20:00-07:00",
-          "2010-03-01T17:21:00-07:00",
-          "2010-03-01T17:22:00-07:00",
-          "2010-03-01T17:23:00-07:00",
-          "2010-03-01T17:24:00-07:00",
-          "2010-03-01T17:25:00-07:00",
-          "2010-03-01T17:26:00-07:00",
-          "2010-03-01T17:27:00-07:00",
-          "2010-03-01T17:28:00-07:00",
-          "2010-03-01T17:29:00-07:00",
-          "2010-03-01T17:30:00-07:00",
-          "2010-03-01T17:31:00-07:00",
-          "2010-03-01T17:32:00-07:00",
-          "2010-03-01T17:33:00-07:00",
-          "2010-03-02T06:37:00-07:00",
-          "2010-03-02T06:38:00-07:00",
-          "2010-03-02T06:39:00-07:00",
-          "2010-03-02T06:40:00-07:00",
-          "2010-03-02T06:41:00-07:00",
-          "2010-03-02T06:42:00-07:00",
-          "2010-03-02T06:43:00-07:00",
-          "2010-03-02T06:44:00-07:00",
-          "2010-03-02T06:45:00-07:00",
-          "2010-03-02T06:46:00-07:00",
-          "2010-03-02T06:47:00-07:00",
-          "2010-03-02T06:48:00-07:00",
-          "2010-03-02T06:49:00-07:00",
-          "2010-03-02T06:50:00-07:00",
-          "2010-03-02T06:51:00-07:00",
-          "2010-03-02T06:52:00-07:00",
-          "2010-03-02T06:53:00-07:00",
-          "2010-03-02T06:54:00-07:00",
-          "2010-03-02T06:55:00-07:00",
-          "2010-03-02T06:56:00-07:00",
-          "2010-03-02T06:57:00-07:00",
-          "2010-03-02T06:58:00-07:00",
-          "2010-03-02T06:59:00-07:00",
-          "2010-03-02T07:00:00-07:00",
-          "2010-03-02T07:01:00-07:00",
-          "2010-03-02T07:02:00-07:00",
-          "2010-03-02T07:03:00-07:00",
-          "2010-03-02T07:04:00-07:00",
-          "2010-03-02T07:05:00-07:00",
-          "2010-03-02T07:06:00-07:00",
-          "2010-03-02T07:07:00-07:00",
-          "2010-03-02T07:08:00-07:00",
-          "2010-03-02T07:09:00-07:00",
-          "2010-03-02T07:10:00-07:00",
-          "2010-03-02T07:11:00-07:00",
-          "2010-03-02T07:12:00-07:00",
-          "2010-03-02T07:13:00-07:00",
-          "2010-03-02T07:14:00-07:00",
-          "2010-03-02T07:15:00-07:00",
-          "2010-03-02T07:16:00-07:00",
-          "2010-03-02T07:17:00-07:00",
-          "2010-03-02T07:18:00-07:00",
-          "2010-03-02T07:19:00-07:00",
-          "2010-03-02T07:20:00-07:00",
-          "2010-03-02T07:21:00-07:00",
-          "2010-03-02T07:22:00-07:00",
-          "2010-03-02T07:23:00-07:00",
-          "2010-03-02T07:24:00-07:00",
-          "2010-03-02T07:25:00-07:00",
-          "2010-03-02T07:26:00-07:00",
-          "2010-03-02T07:27:00-07:00",
-          "2010-03-02T07:28:00-07:00",
-          "2010-03-02T07:29:00-07:00",
-          "2010-03-02T07:30:00-07:00",
-          "2010-03-02T07:31:00-07:00",
-          "2010-03-02T07:32:00-07:00",
-          "2010-03-02T07:33:00-07:00",
-          "2010-03-02T07:34:00-07:00",
-          "2010-03-02T07:35:00-07:00",
-          "2010-03-02T07:36:00-07:00",
-          "2010-03-02T07:37:00-07:00",
-          "2010-03-02T07:38:00-07:00",
-          "2010-03-02T07:39:00-07:00",
-          "2010-03-02T07:40:00-07:00",
-          "2010-03-02T07:41:00-07:00",
-          "2010-03-02T07:42:00-07:00",
-          "2010-03-02T07:43:00-07:00",
-          "2010-03-02T07:44:00-07:00",
-          "2010-03-02T07:45:00-07:00",
-          "2010-03-02T07:46:00-07:00",
-          "2010-03-02T07:47:00-07:00",
-          "2010-03-02T07:48:00-07:00",
-          "2010-03-02T07:49:00-07:00",
-          "2010-03-02T07:50:00-07:00",
-          "2010-03-02T07:51:00-07:00",
-          "2010-03-02T07:52:00-07:00",
-          "2010-03-02T07:53:00-07:00",
-          "2010-03-02T07:54:00-07:00",
-          "2010-03-02T07:55:00-07:00",
-          "2010-03-02T07:56:00-07:00",
-          "2010-03-02T07:57:00-07:00",
-          "2010-03-02T07:58:00-07:00",
-          "2010-03-02T07:59:00-07:00",
-          "2010-03-02T08:00:00-07:00",
-          "2010-03-02T08:01:00-07:00",
-          "2010-03-02T08:02:00-07:00",
-          "2010-03-02T08:03:00-07:00",
-          "2010-03-02T08:04:00-07:00",
-          "2010-03-02T08:05:00-07:00",
-          "2010-03-02T08:06:00-07:00",
-          "2010-03-02T08:07:00-07:00",
-          "2010-03-02T08:08:00-07:00",
-          "2010-03-02T08:09:00-07:00",
-          "2010-03-02T08:10:00-07:00",
-          "2010-03-02T08:11:00-07:00",
-          "2010-03-02T08:12:00-07:00",
-          "2010-03-02T08:13:00-07:00",
-          "2010-03-02T08:14:00-07:00",
-          "2010-03-02T08:15:00-07:00",
-          "2010-03-02T08:16:00-07:00",
-          "2010-03-02T08:17:00-07:00",
-          "2010-03-02T08:18:00-07:00",
-          "2010-03-02T08:19:00-07:00",
-          "2010-03-02T08:20:00-07:00",
-          "2010-03-02T08:21:00-07:00",
-          "2010-03-02T08:22:00-07:00",
-          "2010-03-02T08:23:00-07:00",
-          "2010-03-02T08:24:00-07:00",
-          "2010-03-02T08:25:00-07:00",
-          "2010-03-02T08:26:00-07:00",
-          "2010-03-02T08:27:00-07:00",
-          "2010-03-02T08:28:00-07:00",
-          "2010-03-02T08:29:00-07:00",
-          "2010-03-02T08:30:00-07:00",
-          "2010-03-02T08:31:00-07:00",
-          "2010-03-02T08:32:00-07:00",
-          "2010-03-02T08:33:00-07:00",
-          "2010-03-02T08:34:00-07:00",
-          "2010-03-02T08:35:00-07:00",
-          "2010-03-02T08:36:00-07:00",
-          "2010-03-02T08:37:00-07:00",
-          "2010-03-02T08:38:00-07:00",
-          "2010-03-02T08:39:00-07:00",
-          "2010-03-02T08:40:00-07:00",
-          "2010-03-02T08:41:00-07:00",
-          "2010-03-02T08:42:00-07:00",
-          "2010-03-02T08:43:00-07:00",
-          "2010-03-02T08:44:00-07:00",
-          "2010-03-02T08:45:00-07:00",
-          "2010-03-02T08:46:00-07:00",
-          "2010-03-02T08:47:00-07:00",
-          "2010-03-02T08:48:00-07:00",
-          "2010-03-02T08:49:00-07:00",
-          "2010-03-02T08:50:00-07:00",
-          "2010-03-02T08:51:00-07:00",
-          "2010-03-02T08:52:00-07:00",
-          "2010-03-02T08:53:00-07:00",
-          "2010-03-02T08:54:00-07:00",
-          "2010-03-02T08:55:00-07:00",
-          "2010-03-02T08:56:00-07:00",
-          "2010-03-02T08:57:00-07:00",
-          "2010-03-02T08:58:00-07:00",
-          "2010-03-02T08:59:00-07:00",
-          "2010-03-02T09:00:00-07:00",
-          "2010-03-02T09:01:00-07:00",
-          "2010-03-02T09:02:00-07:00",
-          "2010-03-02T09:03:00-07:00",
-          "2010-03-02T09:04:00-07:00",
-          "2010-03-02T09:05:00-07:00",
-          "2010-03-02T09:06:00-07:00",
-          "2010-03-02T09:07:00-07:00",
-          "2010-03-02T09:08:00-07:00",
-          "2010-03-02T09:09:00-07:00",
-          "2010-03-02T09:10:00-07:00",
-          "2010-03-02T09:11:00-07:00",
-          "2010-03-02T09:12:00-07:00",
-          "2010-03-02T09:13:00-07:00",
-          "2010-03-02T09:14:00-07:00",
-          "2010-03-02T09:15:00-07:00",
-          "2010-03-02T09:16:00-07:00",
-          "2010-03-02T09:17:00-07:00",
-          "2010-03-02T09:18:00-07:00",
-          "2010-03-02T09:19:00-07:00",
-          "2010-03-02T09:20:00-07:00",
-          "2010-03-02T09:21:00-07:00",
-          "2010-03-02T09:22:00-07:00",
-          "2010-03-02T09:23:00-07:00",
-          "2010-03-02T09:24:00-07:00",
-          "2010-03-02T09:25:00-07:00",
-          "2010-03-02T09:26:00-07:00",
-          "2010-03-02T09:27:00-07:00",
-          "2010-03-02T09:28:00-07:00",
-          "2010-03-02T09:29:00-07:00",
-          "2010-03-02T09:30:00-07:00",
-          "2010-03-02T09:31:00-07:00",
-          "2010-03-02T09:32:00-07:00",
-          "2010-03-02T09:33:00-07:00",
-          "2010-03-02T09:34:00-07:00",
-          "2010-03-02T09:35:00-07:00",
-          "2010-03-02T09:36:00-07:00",
-          "2010-03-02T09:37:00-07:00",
-          "2010-03-02T09:38:00-07:00",
-          "2010-03-02T09:39:00-07:00",
-          "2010-03-02T09:40:00-07:00",
-          "2010-03-02T09:41:00-07:00",
-          "2010-03-02T09:42:00-07:00",
-          "2010-03-02T09:43:00-07:00",
-          "2010-03-02T09:44:00-07:00",
-          "2010-03-02T09:45:00-07:00",
-          "2010-03-02T09:46:00-07:00",
-          "2010-03-02T09:47:00-07:00",
-          "2010-03-02T09:48:00-07:00",
-          "2010-03-02T09:49:00-07:00",
-          "2010-03-02T09:50:00-07:00",
-          "2010-03-02T09:51:00-07:00",
-          "2010-03-02T09:52:00-07:00",
-          "2010-03-02T09:53:00-07:00",
-          "2010-03-02T09:54:00-07:00",
-          "2010-03-02T09:55:00-07:00",
-          "2010-03-02T09:56:00-07:00",
-          "2010-03-02T09:58:00-07:00",
-          "2010-03-02T09:59:00-07:00",
-          "2010-03-02T10:00:00-07:00",
-          "2010-03-02T10:01:00-07:00",
-          "2010-03-02T10:02:00-07:00",
-          "2010-03-02T10:04:00-07:00",
-          "2010-03-02T10:05:00-07:00",
-          "2010-03-02T10:07:00-07:00",
-          "2010-03-02T10:08:00-07:00",
-          "2010-03-02T10:09:00-07:00",
-          "2010-03-02T10:10:00-07:00",
-          "2010-03-02T10:11:00-07:00",
-          "2010-03-02T10:12:00-07:00",
-          "2010-03-02T10:13:00-07:00",
-          "2010-03-02T10:17:00-07:00",
-          "2010-03-02T10:18:00-07:00",
-          "2010-03-02T10:19:00-07:00",
-          "2010-03-02T10:20:00-07:00",
-          "2010-03-02T10:21:00-07:00",
-          "2010-03-02T10:22:00-07:00",
-          "2010-03-02T10:23:00-07:00",
-          "2010-03-02T10:25:00-07:00",
-          "2010-03-02T10:29:00-07:00",
-          "2010-03-02T10:30:00-07:00",
-          "2010-03-02T10:32:00-07:00",
-          "2010-03-02T10:33:00-07:00",
-          "2010-03-02T10:34:00-07:00",
-          "2010-03-02T10:36:00-07:00",
-          "2010-03-02T10:37:00-07:00",
-          "2010-03-02T10:41:00-07:00",
-          "2010-03-02T10:42:00-07:00",
-          "2010-03-02T10:43:00-07:00",
-          "2010-03-02T10:45:00-07:00",
-          "2010-03-02T10:46:00-07:00",
-          "2010-03-02T10:48:00-07:00",
-          "2010-03-02T10:49:00-07:00",
-          "2010-03-02T10:52:00-07:00",
-          "2010-03-02T10:53:00-07:00",
-          "2010-03-02T10:55:00-07:00",
-          "2010-03-02T10:56:00-07:00",
-          "2010-03-02T10:57:00-07:00",
-          "2010-03-02T10:58:00-07:00",
-          "2010-03-02T10:59:00-07:00",
-          "2010-03-02T11:00:00-07:00",
-          "2010-03-02T11:01:00-07:00",
-          "2010-03-02T11:04:00-07:00",
-          "2010-03-02T11:05:00-07:00",
-          "2010-03-02T11:07:00-07:00",
-          "2010-03-02T11:08:00-07:00",
-          "2010-03-02T11:11:00-07:00",
-          "2010-03-02T11:12:00-07:00",
-          "2010-03-02T11:14:00-07:00",
-          "2010-03-02T11:15:00-07:00",
-          "2010-03-02T11:16:00-07:00",
-          "2010-03-02T11:21:00-07:00",
-          "2010-03-02T11:23:00-07:00",
-          "2010-03-02T11:24:00-07:00",
-          "2010-03-02T11:28:00-07:00",
-          "2010-03-02T11:30:00-07:00",
-          "2010-03-02T11:32:00-07:00",
-          "2010-03-02T11:36:00-07:00",
-          "2010-03-02T11:40:00-07:00",
-          "2010-03-02T11:41:00-07:00",
-          "2010-03-02T11:45:00-07:00",
-          "2010-03-02T11:47:00-07:00",
-          "2010-03-02T11:48:00-07:00",
-          "2010-03-02T11:55:00-07:00",
-          "2010-03-02T11:56:00-07:00",
-          "2010-03-02T11:57:00-07:00",
-          "2010-03-02T12:05:00-07:00",
-          "2010-03-02T12:06:00-07:00",
-          "2010-03-02T12:07:00-07:00",
-          "2010-03-02T12:10:00-07:00",
-          "2010-03-02T12:15:00-07:00",
-          "2010-03-02T12:17:00-07:00",
-          "2010-03-02T12:19:00-07:00",
-          "2010-03-02T12:20:00-07:00",
-          "2010-03-02T12:21:00-07:00",
-          "2010-03-02T12:24:00-07:00",
-          "2010-03-02T12:25:00-07:00",
-          "2010-03-02T12:26:00-07:00",
-          "2010-03-02T12:27:00-07:00",
-          "2010-03-02T12:29:00-07:00",
-          "2010-03-02T12:30:00-07:00",
-          "2010-03-02T12:31:00-07:00",
-          "2010-03-02T12:33:00-07:00",
-          "2010-03-02T12:34:00-07:00",
-          "2010-03-02T12:35:00-07:00",
-          "2010-03-02T12:36:00-07:00",
-          "2010-03-02T12:37:00-07:00",
-          "2010-03-02T12:38:00-07:00",
-          "2010-03-02T12:39:00-07:00",
-          "2010-03-02T12:40:00-07:00",
-          "2010-03-02T12:41:00-07:00",
-          "2010-03-02T12:42:00-07:00",
-          "2010-03-02T12:44:00-07:00",
-          "2010-03-02T12:45:00-07:00",
-          "2010-03-02T12:47:00-07:00",
-          "2010-03-02T12:51:00-07:00",
-          "2010-03-02T12:53:00-07:00",
-          "2010-03-02T12:54:00-07:00",
-          "2010-03-02T12:55:00-07:00",
-          "2010-03-02T12:59:00-07:00",
-          "2010-03-02T13:00:00-07:00",
-          "2010-03-02T13:03:00-07:00",
-          "2010-03-02T13:04:00-07:00",
-          "2010-03-02T13:07:00-07:00",
-          "2010-03-02T13:12:00-07:00",
-          "2010-03-02T13:13:00-07:00",
-          "2010-03-02T13:14:00-07:00",
-          "2010-03-02T13:16:00-07:00",
-          "2010-03-02T13:19:00-07:00",
-          "2010-03-02T13:20:00-07:00",
-          "2010-03-02T13:23:00-07:00",
-          "2010-03-02T13:24:00-07:00",
-          "2010-03-02T13:26:00-07:00",
-          "2010-03-02T13:27:00-07:00",
-          "2010-03-02T13:30:00-07:00",
-          "2010-03-02T13:34:00-07:00",
-          "2010-03-02T13:36:00-07:00",
-          "2010-03-02T13:37:00-07:00",
-          "2010-03-02T13:38:00-07:00",
-          "2010-03-02T13:39:00-07:00",
-          "2010-03-02T13:40:00-07:00",
-          "2010-03-02T13:42:00-07:00",
-          "2010-03-02T13:43:00-07:00",
-          "2010-03-02T13:46:00-07:00",
-          "2010-03-02T13:47:00-07:00",
-          "2010-03-02T13:50:00-07:00",
-          "2010-03-02T13:52:00-07:00",
-          "2010-03-02T13:54:00-07:00",
-          "2010-03-02T13:55:00-07:00",
-          "2010-03-02T13:56:00-07:00",
-          "2010-03-02T13:58:00-07:00",
-          "2010-03-02T13:59:00-07:00",
-          "2010-03-02T14:00:00-07:00",
-          "2010-03-02T14:03:00-07:00",
-          "2010-03-02T14:05:00-07:00",
-          "2010-03-02T14:06:00-07:00",
-          "2010-03-02T14:08:00-07:00",
-          "2010-03-02T14:09:00-07:00",
-          "2010-03-02T14:10:00-07:00",
-          "2010-03-02T14:11:00-07:00",
-          "2010-03-02T14:12:00-07:00",
-          "2010-03-02T14:13:00-07:00",
-          "2010-03-02T14:14:00-07:00",
-          "2010-03-02T14:15:00-07:00",
-          "2010-03-02T14:16:00-07:00",
-          "2010-03-02T14:17:00-07:00",
-          "2010-03-02T14:18:00-07:00",
-          "2010-03-02T14:19:00-07:00",
-          "2010-03-02T14:20:00-07:00",
-          "2010-03-02T14:21:00-07:00",
-          "2010-03-02T14:22:00-07:00",
-          "2010-03-02T14:23:00-07:00",
-          "2010-03-02T14:24:00-07:00",
-          "2010-03-02T14:25:00-07:00",
-          "2010-03-02T14:26:00-07:00",
-          "2010-03-02T14:27:00-07:00",
-          "2010-03-02T14:28:00-07:00",
-          "2010-03-02T14:29:00-07:00",
-          "2010-03-02T14:30:00-07:00",
-          "2010-03-02T14:31:00-07:00",
-          "2010-03-02T14:32:00-07:00",
-          "2010-03-02T14:33:00-07:00",
-          "2010-03-02T14:34:00-07:00",
-          "2010-03-02T14:35:00-07:00",
-          "2010-03-02T14:36:00-07:00",
-          "2010-03-02T14:37:00-07:00",
-          "2010-03-02T14:38:00-07:00",
-          "2010-03-02T14:39:00-07:00",
-          "2010-03-02T14:40:00-07:00",
-          "2010-03-02T14:41:00-07:00",
-          "2010-03-02T14:42:00-07:00",
-          "2010-03-02T14:43:00-07:00",
-          "2010-03-02T14:44:00-07:00",
-          "2010-03-02T14:45:00-07:00",
-          "2010-03-02T14:46:00-07:00",
-          "2010-03-02T14:47:00-07:00",
-          "2010-03-02T14:48:00-07:00",
-          "2010-03-02T14:49:00-07:00",
-          "2010-03-02T14:50:00-07:00",
-          "2010-03-02T14:51:00-07:00",
-          "2010-03-02T14:52:00-07:00",
-          "2010-03-02T14:53:00-07:00",
-          "2010-03-02T14:54:00-07:00",
-          "2010-03-02T14:55:00-07:00",
-          "2010-03-02T14:56:00-07:00",
-          "2010-03-02T14:57:00-07:00",
-          "2010-03-02T14:58:00-07:00",
-          "2010-03-02T14:59:00-07:00",
-          "2010-03-02T15:00:00-07:00",
-          "2010-03-02T15:01:00-07:00",
-          "2010-03-02T15:02:00-07:00",
-          "2010-03-02T15:03:00-07:00",
-          "2010-03-02T15:04:00-07:00",
-          "2010-03-02T15:05:00-07:00",
-          "2010-03-02T15:06:00-07:00",
-          "2010-03-02T15:07:00-07:00",
-          "2010-03-02T15:08:00-07:00",
-          "2010-03-02T15:09:00-07:00",
-          "2010-03-02T15:10:00-07:00",
-          "2010-03-02T15:11:00-07:00",
-          "2010-03-02T15:12:00-07:00",
-          "2010-03-02T15:13:00-07:00",
-          "2010-03-02T15:14:00-07:00",
-          "2010-03-02T15:15:00-07:00",
-          "2010-03-02T15:16:00-07:00",
-          "2010-03-02T15:17:00-07:00",
-          "2010-03-02T15:18:00-07:00",
-          "2010-03-02T15:19:00-07:00",
-          "2010-03-02T15:20:00-07:00",
-          "2010-03-02T15:21:00-07:00",
-          "2010-03-02T15:22:00-07:00",
-          "2010-03-02T15:23:00-07:00",
-          "2010-03-02T15:24:00-07:00",
-          "2010-03-02T15:25:00-07:00",
-          "2010-03-02T15:26:00-07:00",
-          "2010-03-02T15:27:00-07:00",
-          "2010-03-02T15:28:00-07:00",
-          "2010-03-02T15:29:00-07:00",
-          "2010-03-02T15:30:00-07:00",
-          "2010-03-02T15:31:00-07:00",
-          "2010-03-02T15:32:00-07:00",
-          "2010-03-02T15:33:00-07:00",
-          "2010-03-02T15:34:00-07:00",
-          "2010-03-02T15:35:00-07:00",
-          "2010-03-02T15:36:00-07:00",
-          "2010-03-02T15:37:00-07:00",
-          "2010-03-02T15:38:00-07:00",
-          "2010-03-02T15:39:00-07:00",
-          "2010-03-02T15:40:00-07:00",
-          "2010-03-02T15:41:00-07:00",
-          "2010-03-02T15:42:00-07:00",
-          "2010-03-02T15:43:00-07:00",
-          "2010-03-02T15:44:00-07:00",
-          "2010-03-02T15:45:00-07:00",
-          "2010-03-02T15:46:00-07:00",
-          "2010-03-02T15:47:00-07:00",
-          "2010-03-02T15:48:00-07:00",
-          "2010-03-02T15:49:00-07:00",
-          "2010-03-02T15:50:00-07:00",
-          "2010-03-02T15:51:00-07:00",
-          "2010-03-02T15:52:00-07:00",
-          "2010-03-02T15:53:00-07:00",
-          "2010-03-02T15:54:00-07:00",
-          "2010-03-02T15:55:00-07:00",
-          "2010-03-02T15:56:00-07:00",
-          "2010-03-02T15:57:00-07:00",
-          "2010-03-02T15:58:00-07:00",
-          "2010-03-02T15:59:00-07:00",
-          "2010-03-02T16:00:00-07:00",
-          "2010-03-02T16:01:00-07:00",
-          "2010-03-02T16:02:00-07:00",
-          "2010-03-02T16:03:00-07:00",
-          "2010-03-02T16:04:00-07:00",
-          "2010-03-02T16:05:00-07:00",
-          "2010-03-02T16:06:00-07:00",
-          "2010-03-02T16:07:00-07:00",
-          "2010-03-02T16:08:00-07:00",
-          "2010-03-02T16:09:00-07:00",
-          "2010-03-02T16:10:00-07:00",
-          "2010-03-02T16:11:00-07:00",
-          "2010-03-02T16:12:00-07:00",
-          "2010-03-02T16:13:00-07:00",
-          "2010-03-02T16:14:00-07:00",
-          "2010-03-02T16:15:00-07:00",
-          "2010-03-02T16:16:00-07:00",
-          "2010-03-02T16:17:00-07:00",
-          "2010-03-02T16:18:00-07:00",
-          "2010-03-02T16:19:00-07:00",
-          "2010-03-02T16:20:00-07:00",
-          "2010-03-02T16:21:00-07:00",
-          "2010-03-02T16:22:00-07:00",
-          "2010-03-02T16:23:00-07:00",
-          "2010-03-02T16:24:00-07:00",
-          "2010-03-02T16:25:00-07:00",
-          "2010-03-02T16:26:00-07:00",
-          "2010-03-02T16:27:00-07:00",
-          "2010-03-02T16:28:00-07:00",
-          "2010-03-02T16:29:00-07:00",
-          "2010-03-02T16:30:00-07:00",
-          "2010-03-02T16:31:00-07:00",
-          "2010-03-02T16:32:00-07:00",
-          "2010-03-02T16:33:00-07:00",
-          "2010-03-02T16:34:00-07:00",
-          "2010-03-02T16:35:00-07:00",
-          "2010-03-02T16:36:00-07:00",
-          "2010-03-02T16:37:00-07:00",
-          "2010-03-02T16:38:00-07:00",
-          "2010-03-02T16:39:00-07:00",
-          "2010-03-02T16:40:00-07:00",
-          "2010-03-02T16:41:00-07:00",
-          "2010-03-02T16:42:00-07:00",
-          "2010-03-02T16:43:00-07:00",
-          "2010-03-02T16:44:00-07:00",
-          "2010-03-02T16:45:00-07:00",
-          "2010-03-02T16:46:00-07:00",
-          "2010-03-02T16:47:00-07:00",
-          "2010-03-02T16:48:00-07:00",
-          "2010-03-02T16:49:00-07:00",
-          "2010-03-02T16:50:00-07:00",
-          "2010-03-02T16:51:00-07:00",
-          "2010-03-02T16:52:00-07:00",
-          "2010-03-02T16:53:00-07:00",
-          "2010-03-02T16:54:00-07:00",
-          "2010-03-02T16:55:00-07:00",
-          "2010-03-02T16:56:00-07:00",
-          "2010-03-02T16:57:00-07:00",
-          "2010-03-02T16:58:00-07:00",
-          "2010-03-02T16:59:00-07:00",
-          "2010-03-02T17:00:00-07:00",
-          "2010-03-02T17:01:00-07:00",
-          "2010-03-02T17:02:00-07:00",
-          "2010-03-02T17:03:00-07:00",
-          "2010-03-02T17:04:00-07:00",
-          "2010-03-02T17:05:00-07:00",
-          "2010-03-02T17:06:00-07:00",
-          "2010-03-02T17:07:00-07:00",
-          "2010-03-02T17:08:00-07:00",
-          "2010-03-02T17:09:00-07:00",
-          "2010-03-02T17:10:00-07:00",
-          "2010-03-02T17:11:00-07:00",
-          "2010-03-02T17:12:00-07:00",
-          "2010-03-02T17:13:00-07:00",
-          "2010-03-02T17:14:00-07:00",
-          "2010-03-02T17:15:00-07:00",
-          "2010-03-02T17:16:00-07:00",
-          "2010-03-02T17:17:00-07:00",
-          "2010-03-02T17:18:00-07:00",
-          "2010-03-02T17:19:00-07:00",
-          "2010-03-02T17:20:00-07:00",
-          "2010-03-02T17:21:00-07:00",
-          "2010-03-02T17:22:00-07:00",
-          "2010-03-02T17:23:00-07:00",
-          "2010-03-02T17:24:00-07:00",
-          "2010-03-02T17:25:00-07:00",
-          "2010-03-02T17:26:00-07:00",
-          "2010-03-02T17:27:00-07:00",
-          "2010-03-02T17:28:00-07:00",
-          "2010-03-02T17:29:00-07:00",
-          "2010-03-02T17:30:00-07:00",
-          "2010-03-02T17:31:00-07:00",
-          "2010-03-02T17:32:00-07:00",
-          "2010-03-02T17:33:00-07:00",
-          "2010-03-02T17:34:00-07:00",
-          "2010-03-02T17:35:00-07:00",
-          "2010-03-02T17:36:00-07:00",
-          "2010-03-02T17:37:00-07:00",
-          "2010-03-02T17:38:00-07:00",
-          "2010-03-02T17:39:00-07:00",
-          "2010-03-02T17:40:00-07:00",
-          "2010-03-03T06:46:00-07:00",
-          "2010-03-03T06:47:00-07:00",
-          "2010-03-03T06:50:00-07:00",
-          "2010-03-03T06:51:00-07:00",
-          "2010-03-03T06:52:00-07:00",
-          "2010-03-03T06:53:00-07:00",
-          "2010-03-03T06:54:00-07:00",
-          "2010-03-03T06:55:00-07:00",
-          "2010-03-03T06:56:00-07:00",
-          "2010-03-03T06:57:00-07:00",
-          "2010-03-03T06:58:00-07:00",
-          "2010-03-03T06:59:00-07:00",
-          "2010-03-03T07:00:00-07:00",
-          "2010-03-03T07:01:00-07:00",
-          "2010-03-03T07:02:00-07:00",
-          "2010-03-03T07:03:00-07:00",
-          "2010-03-03T07:04:00-07:00",
-          "2010-03-03T07:05:00-07:00",
-          "2010-03-03T07:06:00-07:00",
-          "2010-03-03T07:07:00-07:00",
-          "2010-03-03T07:08:00-07:00",
-          "2010-03-03T07:09:00-07:00",
-          "2010-03-03T07:10:00-07:00",
-          "2010-03-03T07:11:00-07:00",
-          "2010-03-03T07:12:00-07:00",
-          "2010-03-03T07:13:00-07:00",
-          "2010-03-03T07:14:00-07:00",
-          "2010-03-03T07:15:00-07:00",
-          "2010-03-03T07:16:00-07:00",
-          "2010-03-03T07:17:00-07:00",
-          "2010-03-03T07:18:00-07:00",
-          "2010-03-03T07:19:00-07:00",
-          "2010-03-03T07:20:00-07:00",
-          "2010-03-03T07:21:00-07:00",
-          "2010-03-03T07:22:00-07:00",
-          "2010-03-03T07:23:00-07:00",
-          "2010-03-03T07:24:00-07:00",
-          "2010-03-03T07:25:00-07:00",
-          "2010-03-03T07:26:00-07:00",
-          "2010-03-03T07:27:00-07:00",
-          "2010-03-03T07:28:00-07:00",
-          "2010-03-03T07:29:00-07:00",
-          "2010-03-03T07:30:00-07:00",
-          "2010-03-03T07:31:00-07:00",
-          "2010-03-03T07:32:00-07:00",
-          "2010-03-03T07:33:00-07:00",
-          "2010-03-03T07:34:00-07:00",
-          "2010-03-03T07:35:00-07:00",
-          "2010-03-03T07:36:00-07:00",
-          "2010-03-03T07:37:00-07:00",
-          "2010-03-03T07:38:00-07:00",
-          "2010-03-03T07:39:00-07:00",
-          "2010-03-03T07:40:00-07:00",
-          "2010-03-03T07:41:00-07:00",
-          "2010-03-03T07:42:00-07:00",
-          "2010-03-03T07:43:00-07:00",
-          "2010-03-03T07:44:00-07:00",
-          "2010-03-03T07:45:00-07:00",
-          "2010-03-03T07:46:00-07:00",
-          "2010-03-03T07:47:00-07:00",
-          "2010-03-03T07:48:00-07:00",
-          "2010-03-03T07:49:00-07:00",
-          "2010-03-03T07:50:00-07:00",
-          "2010-03-03T07:51:00-07:00",
-          "2010-03-03T07:52:00-07:00",
-          "2010-03-03T07:53:00-07:00",
-          "2010-03-03T07:54:00-07:00",
-          "2010-03-03T07:55:00-07:00",
-          "2010-03-03T07:56:00-07:00",
-          "2010-03-03T07:57:00-07:00",
-          "2010-03-03T07:58:00-07:00",
-          "2010-03-03T07:59:00-07:00",
-          "2010-03-03T08:00:00-07:00",
-          "2010-03-03T08:01:00-07:00",
-          "2010-03-03T08:02:00-07:00",
-          "2010-03-03T08:03:00-07:00",
-          "2010-03-03T08:04:00-07:00",
-          "2010-03-03T08:05:00-07:00",
-          "2010-03-03T08:06:00-07:00",
-          "2010-03-03T08:07:00-07:00",
-          "2010-03-03T08:08:00-07:00",
-          "2010-03-03T08:09:00-07:00",
-          "2010-03-03T08:10:00-07:00",
-          "2010-03-03T08:11:00-07:00",
-          "2010-03-03T08:12:00-07:00",
-          "2010-03-03T08:13:00-07:00",
-          "2010-03-03T08:14:00-07:00",
-          "2010-03-03T08:15:00-07:00",
-          "2010-03-03T08:16:00-07:00",
-          "2010-03-03T08:17:00-07:00",
-          "2010-03-03T08:18:00-07:00",
-          "2010-03-03T08:19:00-07:00",
-          "2010-03-03T08:20:00-07:00",
-          "2010-03-03T08:21:00-07:00",
-          "2010-03-03T08:22:00-07:00",
-          "2010-03-03T08:23:00-07:00",
-          "2010-03-03T08:24:00-07:00",
-          "2010-03-03T08:25:00-07:00",
-          "2010-03-03T08:26:00-07:00",
-          "2010-03-03T08:27:00-07:00",
-          "2010-03-03T08:28:00-07:00",
-          "2010-03-03T08:29:00-07:00",
-          "2010-03-03T08:30:00-07:00",
-          "2010-03-03T08:31:00-07:00",
-          "2010-03-03T08:32:00-07:00",
-          "2010-03-03T08:33:00-07:00",
-          "2010-03-03T08:34:00-07:00",
-          "2010-03-03T08:35:00-07:00",
-          "2010-03-03T08:36:00-07:00",
-          "2010-03-03T08:37:00-07:00",
-          "2010-03-03T08:38:00-07:00",
-          "2010-03-03T08:39:00-07:00",
-          "2010-03-03T08:40:00-07:00",
-          "2010-03-03T08:41:00-07:00",
-          "2010-03-03T08:42:00-07:00",
-          "2010-03-03T08:43:00-07:00",
-          "2010-03-03T08:44:00-07:00",
-          "2010-03-03T08:45:00-07:00",
-          "2010-03-03T08:46:00-07:00",
-          "2010-03-03T08:47:00-07:00",
-          "2010-03-03T08:48:00-07:00",
-          "2010-03-03T08:49:00-07:00",
-          "2010-03-03T08:50:00-07:00",
-          "2010-03-03T08:51:00-07:00",
-          "2010-03-03T08:52:00-07:00",
-          "2010-03-03T08:53:00-07:00",
-          "2010-03-03T08:54:00-07:00",
-          "2010-03-03T08:55:00-07:00",
-          "2010-03-03T08:56:00-07:00",
-          "2010-03-03T08:57:00-07:00",
-          "2010-03-03T08:58:00-07:00",
-          "2010-03-03T08:59:00-07:00",
-          "2010-03-03T09:00:00-07:00",
-          "2010-03-03T09:01:00-07:00",
-          "2010-03-03T09:02:00-07:00",
-          "2010-03-03T09:03:00-07:00",
-          "2010-03-03T09:04:00-07:00",
-          "2010-03-03T09:05:00-07:00",
-          "2010-03-03T09:06:00-07:00",
-          "2010-03-03T09:07:00-07:00",
-          "2010-03-03T09:08:00-07:00",
-          "2010-03-03T09:09:00-07:00",
-          "2010-03-03T09:10:00-07:00",
-          "2010-03-03T09:11:00-07:00",
-          "2010-03-03T09:12:00-07:00",
-          "2010-03-03T09:13:00-07:00",
-          "2010-03-03T09:14:00-07:00",
-          "2010-03-03T09:15:00-07:00",
-          "2010-03-03T09:16:00-07:00",
-          "2010-03-03T09:17:00-07:00",
-          "2010-03-03T09:18:00-07:00",
-          "2010-03-03T09:19:00-07:00",
-          "2010-03-03T09:20:00-07:00",
-          "2010-03-03T09:21:00-07:00",
-          "2010-03-03T09:22:00-07:00",
-          "2010-03-03T09:23:00-07:00",
-          "2010-03-03T09:24:00-07:00",
-          "2010-03-03T09:25:00-07:00",
-          "2010-03-03T09:26:00-07:00",
-          "2010-03-03T09:27:00-07:00",
-          "2010-03-03T09:28:00-07:00",
-          "2010-03-03T09:29:00-07:00",
-          "2010-03-03T09:30:00-07:00",
-          "2010-03-03T09:31:00-07:00",
-          "2010-03-03T09:32:00-07:00",
-          "2010-03-03T09:33:00-07:00",
-          "2010-03-03T09:34:00-07:00",
-          "2010-03-03T09:35:00-07:00",
-          "2010-03-03T09:36:00-07:00",
-          "2010-03-03T09:37:00-07:00",
-          "2010-03-03T09:38:00-07:00",
-          "2010-03-03T09:40:00-07:00",
-          "2010-03-03T09:41:00-07:00",
-          "2010-03-03T09:42:00-07:00",
-          "2010-03-03T09:43:00-07:00",
-          "2010-03-03T09:44:00-07:00",
-          "2010-03-03T09:45:00-07:00",
-          "2010-03-03T09:46:00-07:00",
-          "2010-03-03T09:47:00-07:00",
-          "2010-03-03T09:48:00-07:00",
-          "2010-03-03T09:49:00-07:00",
-          "2010-03-03T09:50:00-07:00",
-          "2010-03-03T09:51:00-07:00",
-          "2010-03-03T09:52:00-07:00",
-          "2010-03-03T09:53:00-07:00",
-          "2010-03-03T09:54:00-07:00",
-          "2010-03-03T09:55:00-07:00",
-          "2010-03-03T09:56:00-07:00",
-          "2010-03-03T09:57:00-07:00",
-          "2010-03-03T09:58:00-07:00",
-          "2010-03-03T09:59:00-07:00",
-          "2010-03-03T10:00:00-07:00",
-          "2010-03-03T10:01:00-07:00",
-          "2010-03-03T10:02:00-07:00",
-          "2010-03-03T10:03:00-07:00",
-          "2010-03-03T10:04:00-07:00",
-          "2010-03-03T10:05:00-07:00",
-          "2010-03-03T10:06:00-07:00",
-          "2010-03-03T10:08:00-07:00",
-          "2010-03-03T10:09:00-07:00",
-          "2010-03-03T10:10:00-07:00",
-          "2010-03-03T10:12:00-07:00",
-          "2010-03-03T10:13:00-07:00",
-          "2010-03-03T10:14:00-07:00",
-          "2010-03-03T10:15:00-07:00",
-          "2010-03-03T10:16:00-07:00",
-          "2010-03-03T10:17:00-07:00",
-          "2010-03-03T10:20:00-07:00",
-          "2010-03-03T10:21:00-07:00",
-          "2010-03-03T10:22:00-07:00",
-          "2010-03-03T10:23:00-07:00",
-          "2010-03-03T10:24:00-07:00",
-          "2010-03-03T10:25:00-07:00",
-          "2010-03-03T10:26:00-07:00",
-          "2010-03-03T10:27:00-07:00",
-          "2010-03-03T10:28:00-07:00",
-          "2010-03-03T10:29:00-07:00",
-          "2010-03-03T10:30:00-07:00",
-          "2010-03-03T10:31:00-07:00",
-          "2010-03-03T10:32:00-07:00",
-          "2010-03-03T10:33:00-07:00",
-          "2010-03-03T10:34:00-07:00",
-          "2010-03-03T10:35:00-07:00",
-          "2010-03-03T10:36:00-07:00",
-          "2010-03-03T10:37:00-07:00",
-          "2010-03-03T10:38:00-07:00",
-          "2010-03-03T10:40:00-07:00",
-          "2010-03-03T10:41:00-07:00",
-          "2010-03-03T10:43:00-07:00",
-          "2010-03-03T10:44:00-07:00",
-          "2010-03-03T10:45:00-07:00",
-          "2010-03-03T10:46:00-07:00",
-          "2010-03-03T10:47:00-07:00",
-          "2010-03-03T10:52:00-07:00",
-          "2010-03-03T10:54:00-07:00",
-          "2010-03-03T10:56:00-07:00",
-          "2010-03-03T10:57:00-07:00",
-          "2010-03-03T10:58:00-07:00",
-          "2010-03-03T10:59:00-07:00",
-          "2010-03-03T11:00:00-07:00",
-          "2010-03-03T11:01:00-07:00",
-          "2010-03-03T11:02:00-07:00",
-          "2010-03-03T11:03:00-07:00",
-          "2010-03-03T11:04:00-07:00",
-          "2010-03-03T11:05:00-07:00",
-          "2010-03-03T11:07:00-07:00",
-          "2010-03-03T11:09:00-07:00",
-          "2010-03-03T11:10:00-07:00",
-          "2010-03-03T11:11:00-07:00",
-          "2010-03-03T11:12:00-07:00",
-          "2010-03-03T11:13:00-07:00",
-          "2010-03-03T11:14:00-07:00",
-          "2010-03-03T11:15:00-07:00",
-          "2010-03-03T11:17:00-07:00",
-          "2010-03-03T11:18:00-07:00",
-          "2010-03-03T11:19:00-07:00",
-          "2010-03-03T11:21:00-07:00",
-          "2010-03-03T11:22:00-07:00",
-          "2010-03-03T11:23:00-07:00",
-          "2010-03-03T11:24:00-07:00",
-          "2010-03-03T11:25:00-07:00",
-          "2010-03-03T11:27:00-07:00",
-          "2010-03-03T11:28:00-07:00",
-          "2010-03-03T11:30:00-07:00",
-          "2010-03-03T11:32:00-07:00",
-          "2010-03-03T11:33:00-07:00",
-          "2010-03-03T11:34:00-07:00",
-          "2010-03-03T11:36:00-07:00",
-          "2010-03-03T11:38:00-07:00",
-          "2010-03-03T11:39:00-07:00",
-          "2010-03-03T11:40:00-07:00",
-          "2010-03-03T11:43:00-07:00",
-          "2010-03-03T11:45:00-07:00",
-          "2010-03-03T11:46:00-07:00",
-          "2010-03-03T11:48:00-07:00",
-          "2010-03-03T11:51:00-07:00",
-          "2010-03-03T11:55:00-07:00",
-          "2010-03-03T11:56:00-07:00",
-          "2010-03-03T11:59:00-07:00",
-          "2010-03-03T12:01:00-07:00",
-          "2010-03-03T12:02:00-07:00",
-          "2010-03-03T12:03:00-07:00",
-          "2010-03-03T12:04:00-07:00",
-          "2010-03-03T12:06:00-07:00",
-          "2010-03-03T12:07:00-07:00",
-          "2010-03-03T12:08:00-07:00",
-          "2010-03-03T12:09:00-07:00",
-          "2010-03-03T12:12:00-07:00",
-          "2010-03-03T12:13:00-07:00",
-          "2010-03-03T12:16:00-07:00",
-          "2010-03-03T12:17:00-07:00",
-          "2010-03-03T12:18:00-07:00",
-          "2010-03-03T12:19:00-07:00",
-          "2010-03-03T12:20:00-07:00",
-          "2010-03-03T12:21:00-07:00",
-          "2010-03-03T12:24:00-07:00",
-          "2010-03-03T12:26:00-07:00",
-          "2010-03-03T12:28:00-07:00",
-          "2010-03-03T12:30:00-07:00",
-          "2010-03-03T12:32:00-07:00",
-          "2010-03-03T12:34:00-07:00",
-          "2010-03-03T12:35:00-07:00",
-          "2010-03-03T12:38:00-07:00",
-          "2010-03-03T12:39:00-07:00",
-          "2010-03-03T12:46:00-07:00",
-          "2010-03-03T12:49:00-07:00",
-          "2010-03-03T12:50:00-07:00",
-          "2010-03-03T12:52:00-07:00",
-          "2010-03-03T12:53:00-07:00",
-          "2010-03-03T12:54:00-07:00",
-          "2010-03-03T12:55:00-07:00",
-          "2010-03-03T12:56:00-07:00",
-          "2010-03-03T12:59:00-07:00",
-          "2010-03-03T13:01:00-07:00",
-          "2010-03-03T13:02:00-07:00",
-          "2010-03-03T13:03:00-07:00",
-          "2010-03-03T13:04:00-07:00",
-          "2010-03-03T13:05:00-07:00",
-          "2010-03-03T13:06:00-07:00",
-          "2010-03-03T13:07:00-07:00",
-          "2010-03-03T13:13:00-07:00",
-          "2010-03-03T13:14:00-07:00",
-          "2010-03-03T13:16:00-07:00",
-          "2010-03-03T13:17:00-07:00",
-          "2010-03-03T13:19:00-07:00",
-          "2010-03-03T13:20:00-07:00",
-          "2010-03-03T13:22:00-07:00",
-          "2010-03-03T13:23:00-07:00",
-          "2010-03-03T13:25:00-07:00",
-          "2010-03-03T13:26:00-07:00",
-          "2010-03-03T13:27:00-07:00",
-          "2010-03-03T13:29:00-07:00",
-          "2010-03-03T13:30:00-07:00",
-          "2010-03-03T13:31:00-07:00",
-          "2010-03-03T13:32:00-07:00",
-          "2010-03-03T13:33:00-07:00",
-          "2010-03-03T13:34:00-07:00",
-          "2010-03-03T13:36:00-07:00",
-          "2010-03-03T13:37:00-07:00",
-          "2010-03-03T13:38:00-07:00",
-          "2010-03-03T13:39:00-07:00",
-          "2010-03-03T13:40:00-07:00",
-          "2010-03-03T13:42:00-07:00",
-          "2010-03-03T13:43:00-07:00",
-          "2010-03-03T13:44:00-07:00",
-          "2010-03-03T13:47:00-07:00",
-          "2010-03-03T13:49:00-07:00",
-          "2010-03-03T13:50:00-07:00",
-          "2010-03-03T13:51:00-07:00",
-          "2010-03-03T13:54:00-07:00",
-          "2010-03-03T13:55:00-07:00",
-          "2010-03-03T13:56:00-07:00",
-          "2010-03-03T13:57:00-07:00",
-          "2010-03-03T13:58:00-07:00",
-          "2010-03-03T13:59:00-07:00",
-          "2010-03-03T14:00:00-07:00",
-          "2010-03-03T14:02:00-07:00",
-          "2010-03-03T14:03:00-07:00",
-          "2010-03-03T14:04:00-07:00",
-          "2010-03-03T14:05:00-07:00",
-          "2010-03-03T14:06:00-07:00",
-          "2010-03-03T14:07:00-07:00",
-          "2010-03-03T14:08:00-07:00",
-          "2010-03-03T14:09:00-07:00",
-          "2010-03-03T14:10:00-07:00",
-          "2010-03-03T14:11:00-07:00",
-          "2010-03-03T14:12:00-07:00",
-          "2010-03-03T14:13:00-07:00",
-          "2010-03-03T14:14:00-07:00",
-          "2010-03-03T14:15:00-07:00",
-          "2010-03-03T14:16:00-07:00",
-          "2010-03-03T14:17:00-07:00",
-          "2010-03-03T14:18:00-07:00",
-          "2010-03-03T14:19:00-07:00",
-          "2010-03-03T14:20:00-07:00",
-          "2010-03-03T14:21:00-07:00",
-          "2010-03-03T14:22:00-07:00",
-          "2010-03-03T14:23:00-07:00",
-          "2010-03-03T14:24:00-07:00",
-          "2010-03-03T14:25:00-07:00",
-          "2010-03-03T14:26:00-07:00",
-          "2010-03-03T14:27:00-07:00",
-          "2010-03-03T14:28:00-07:00",
-          "2010-03-03T14:29:00-07:00",
-          "2010-03-03T14:30:00-07:00",
-          "2010-03-03T14:31:00-07:00",
-          "2010-03-03T14:32:00-07:00",
-          "2010-03-03T14:33:00-07:00",
-          "2010-03-03T14:34:00-07:00",
-          "2010-03-03T14:35:00-07:00",
-          "2010-03-03T14:36:00-07:00",
-          "2010-03-03T14:37:00-07:00",
-          "2010-03-03T14:38:00-07:00",
-          "2010-03-03T14:39:00-07:00",
-          "2010-03-03T14:40:00-07:00",
-          "2010-03-03T14:41:00-07:00",
-          "2010-03-03T14:42:00-07:00",
-          "2010-03-03T14:43:00-07:00",
-          "2010-03-03T14:44:00-07:00",
-          "2010-03-03T14:45:00-07:00",
-          "2010-03-03T14:46:00-07:00",
-          "2010-03-03T14:47:00-07:00",
-          "2010-03-03T14:48:00-07:00",
-          "2010-03-03T14:49:00-07:00",
-          "2010-03-03T14:50:00-07:00",
-          "2010-03-03T14:51:00-07:00",
-          "2010-03-03T14:52:00-07:00",
-          "2010-03-03T14:53:00-07:00",
-          "2010-03-03T14:54:00-07:00",
-          "2010-03-03T14:55:00-07:00",
-          "2010-03-03T14:56:00-07:00",
-          "2010-03-03T14:57:00-07:00",
-          "2010-03-03T14:58:00-07:00",
-          "2010-03-03T14:59:00-07:00",
-          "2010-03-03T15:00:00-07:00",
-          "2010-03-03T15:01:00-07:00",
-          "2010-03-03T15:02:00-07:00",
-          "2010-03-03T15:03:00-07:00",
-          "2010-03-03T15:04:00-07:00",
-          "2010-03-03T15:05:00-07:00",
-          "2010-03-03T15:06:00-07:00",
-          "2010-03-03T15:07:00-07:00",
-          "2010-03-03T15:08:00-07:00",
-          "2010-03-03T15:09:00-07:00",
-          "2010-03-03T15:10:00-07:00",
-          "2010-03-03T15:11:00-07:00",
-          "2010-03-03T15:12:00-07:00",
-          "2010-03-03T15:13:00-07:00",
-          "2010-03-03T15:14:00-07:00",
-          "2010-03-03T15:15:00-07:00",
-          "2010-03-03T15:16:00-07:00",
-          "2010-03-03T15:17:00-07:00",
-          "2010-03-03T15:18:00-07:00",
-          "2010-03-03T15:19:00-07:00",
-          "2010-03-03T15:20:00-07:00",
-          "2010-03-03T15:21:00-07:00",
-          "2010-03-03T15:22:00-07:00",
-          "2010-03-03T15:23:00-07:00",
-          "2010-03-03T15:24:00-07:00",
-          "2010-03-03T15:25:00-07:00",
-          "2010-03-03T15:26:00-07:00",
-          "2010-03-03T15:27:00-07:00",
-          "2010-03-03T15:28:00-07:00",
-          "2010-03-03T15:29:00-07:00",
-          "2010-03-03T15:30:00-07:00",
-          "2010-03-03T15:31:00-07:00",
-          "2010-03-03T15:32:00-07:00",
-          "2010-03-03T15:33:00-07:00",
-          "2010-03-03T15:34:00-07:00",
-          "2010-03-03T15:35:00-07:00",
-          "2010-03-03T15:36:00-07:00",
-          "2010-03-03T15:37:00-07:00",
-          "2010-03-03T15:38:00-07:00",
-          "2010-03-03T15:39:00-07:00",
-          "2010-03-03T15:40:00-07:00",
-          "2010-03-03T15:41:00-07:00",
-          "2010-03-03T15:42:00-07:00",
-          "2010-03-03T15:43:00-07:00",
-          "2010-03-03T15:44:00-07:00",
-          "2010-03-03T15:45:00-07:00",
-          "2010-03-03T15:46:00-07:00",
-          "2010-03-03T15:47:00-07:00",
-          "2010-03-03T15:48:00-07:00",
-          "2010-03-03T15:49:00-07:00",
-          "2010-03-03T15:50:00-07:00",
-          "2010-03-03T15:51:00-07:00",
-          "2010-03-03T15:52:00-07:00",
-          "2010-03-03T15:53:00-07:00",
-          "2010-03-03T15:54:00-07:00",
-          "2010-03-03T15:55:00-07:00",
-          "2010-03-03T15:56:00-07:00",
-          "2010-03-03T15:57:00-07:00",
-          "2010-03-03T15:58:00-07:00",
-          "2010-03-03T15:59:00-07:00",
-          "2010-03-03T16:00:00-07:00",
-          "2010-03-03T16:01:00-07:00",
-          "2010-03-03T16:02:00-07:00",
-          "2010-03-03T16:03:00-07:00",
-          "2010-03-03T16:04:00-07:00",
-          "2010-03-03T16:05:00-07:00",
-          "2010-03-03T16:06:00-07:00",
-          "2010-03-03T16:07:00-07:00",
-          "2010-03-03T16:08:00-07:00",
-          "2010-03-03T16:09:00-07:00",
-          "2010-03-03T16:10:00-07:00",
-          "2010-03-03T16:11:00-07:00",
-          "2010-03-03T16:12:00-07:00",
-          "2010-03-03T16:13:00-07:00",
-          "2010-03-03T16:14:00-07:00",
-          "2010-03-03T16:15:00-07:00",
-          "2010-03-03T16:16:00-07:00",
-          "2010-03-03T16:17:00-07:00",
-          "2010-03-03T16:18:00-07:00",
-          "2010-03-03T16:19:00-07:00",
-          "2010-03-03T16:20:00-07:00",
-          "2010-03-03T16:21:00-07:00",
-          "2010-03-03T16:22:00-07:00",
-          "2010-03-03T16:23:00-07:00",
-          "2010-03-03T16:24:00-07:00",
-          "2010-03-03T16:25:00-07:00",
-          "2010-03-03T16:26:00-07:00",
-          "2010-03-03T16:27:00-07:00",
-          "2010-03-03T16:28:00-07:00",
-          "2010-03-03T16:29:00-07:00",
-          "2010-03-03T16:30:00-07:00",
-          "2010-03-03T16:31:00-07:00",
-          "2010-03-03T16:32:00-07:00",
-          "2010-03-03T16:33:00-07:00",
-          "2010-03-03T16:34:00-07:00",
-          "2010-03-03T16:35:00-07:00",
-          "2010-03-03T16:36:00-07:00",
-          "2010-03-03T16:37:00-07:00",
-          "2010-03-03T16:38:00-07:00",
-          "2010-03-03T16:39:00-07:00",
-          "2010-03-03T16:40:00-07:00",
-          "2010-03-03T16:41:00-07:00",
-          "2010-03-03T16:42:00-07:00",
-          "2010-03-03T16:43:00-07:00",
-          "2010-03-03T16:44:00-07:00",
-          "2010-03-03T16:45:00-07:00",
-          "2010-03-03T16:46:00-07:00",
-          "2010-03-03T16:47:00-07:00",
-          "2010-03-03T16:48:00-07:00",
-          "2010-03-03T16:49:00-07:00",
-          "2010-03-03T16:50:00-07:00",
-          "2010-03-03T16:51:00-07:00",
-          "2010-03-03T16:52:00-07:00",
-          "2010-03-03T16:53:00-07:00",
-          "2010-03-03T16:54:00-07:00",
-          "2010-03-03T16:55:00-07:00",
-          "2010-03-03T16:56:00-07:00",
-          "2010-03-03T16:57:00-07:00",
-          "2010-03-03T16:58:00-07:00",
-          "2010-03-03T16:59:00-07:00",
-          "2010-03-03T17:00:00-07:00",
-          "2010-03-03T17:01:00-07:00",
-          "2010-03-03T17:02:00-07:00",
-          "2010-03-03T17:03:00-07:00",
-          "2010-03-03T17:04:00-07:00",
-          "2010-03-03T17:05:00-07:00",
-          "2010-03-03T17:06:00-07:00",
-          "2010-03-03T17:07:00-07:00",
-          "2010-03-03T17:08:00-07:00",
-          "2010-03-03T17:09:00-07:00",
-          "2010-03-03T17:10:00-07:00",
-          "2010-03-03T17:11:00-07:00",
-          "2010-03-03T17:12:00-07:00",
-          "2010-03-03T17:13:00-07:00",
-          "2010-03-03T17:14:00-07:00",
-          "2010-03-03T17:15:00-07:00",
-          "2010-03-03T17:16:00-07:00",
-          "2010-03-03T17:17:00-07:00",
-          "2010-03-03T17:18:00-07:00",
-          "2010-03-03T17:19:00-07:00",
-          "2010-03-03T17:20:00-07:00",
-          "2010-03-03T17:21:00-07:00",
-          "2010-03-03T17:22:00-07:00",
-          "2010-03-03T17:23:00-07:00",
-          "2010-03-03T17:24:00-07:00",
-          "2010-03-03T17:25:00-07:00",
-          "2010-03-03T17:26:00-07:00",
-          "2010-03-03T17:27:00-07:00",
-          "2010-03-03T17:28:00-07:00",
-          "2010-03-03T17:29:00-07:00",
-          "2010-03-03T17:30:00-07:00",
-          "2010-03-03T17:31:00-07:00",
-          "2010-03-03T17:32:00-07:00",
-          "2010-03-03T17:33:00-07:00",
-          "2010-03-03T17:34:00-07:00",
-          "2010-03-04T06:34:00-07:00",
-          "2010-03-04T06:35:00-07:00",
-          "2010-03-04T06:36:00-07:00",
-          "2010-03-04T06:37:00-07:00",
-          "2010-03-04T06:38:00-07:00",
-          "2010-03-04T06:39:00-07:00",
-          "2010-03-04T06:40:00-07:00",
-          "2010-03-04T06:41:00-07:00",
-          "2010-03-04T06:42:00-07:00",
-          "2010-03-04T06:43:00-07:00",
-          "2010-03-04T06:44:00-07:00",
-          "2010-03-04T06:45:00-07:00",
-          "2010-03-04T06:46:00-07:00",
-          "2010-03-04T06:47:00-07:00",
-          "2010-03-04T06:48:00-07:00",
-          "2010-03-04T06:49:00-07:00",
-          "2010-03-04T06:50:00-07:00",
-          "2010-03-04T06:51:00-07:00",
-          "2010-03-04T06:52:00-07:00",
-          "2010-03-04T06:53:00-07:00",
-          "2010-03-04T06:54:00-07:00",
-          "2010-03-04T06:55:00-07:00",
-          "2010-03-04T06:56:00-07:00",
-          "2010-03-04T06:57:00-07:00",
-          "2010-03-04T06:58:00-07:00",
-          "2010-03-04T06:59:00-07:00",
-          "2010-03-04T07:00:00-07:00",
-          "2010-03-04T07:01:00-07:00",
-          "2010-03-04T07:02:00-07:00",
-          "2010-03-04T07:03:00-07:00",
-          "2010-03-04T07:04:00-07:00",
-          "2010-03-04T07:05:00-07:00",
-          "2010-03-04T07:06:00-07:00",
-          "2010-03-04T07:07:00-07:00",
-          "2010-03-04T07:08:00-07:00",
-          "2010-03-04T07:09:00-07:00",
-          "2010-03-04T07:10:00-07:00",
-          "2010-03-04T07:11:00-07:00",
-          "2010-03-04T07:12:00-07:00",
-          "2010-03-04T07:13:00-07:00",
-          "2010-03-04T07:14:00-07:00",
-          "2010-03-04T07:15:00-07:00",
-          "2010-03-04T07:16:00-07:00",
-          "2010-03-04T07:17:00-07:00",
-          "2010-03-04T07:18:00-07:00",
-          "2010-03-04T07:19:00-07:00",
-          "2010-03-04T07:20:00-07:00",
-          "2010-03-04T07:21:00-07:00",
-          "2010-03-04T07:22:00-07:00",
-          "2010-03-04T07:23:00-07:00",
-          "2010-03-04T07:24:00-07:00",
-          "2010-03-04T07:25:00-07:00",
-          "2010-03-04T07:26:00-07:00",
-          "2010-03-04T07:27:00-07:00",
-          "2010-03-04T07:28:00-07:00",
-          "2010-03-04T07:29:00-07:00",
-          "2010-03-04T07:30:00-07:00",
-          "2010-03-04T07:31:00-07:00",
-          "2010-03-04T07:32:00-07:00",
-          "2010-03-04T07:33:00-07:00",
-          "2010-03-04T07:34:00-07:00",
-          "2010-03-04T07:35:00-07:00",
-          "2010-03-04T07:36:00-07:00",
-          "2010-03-04T07:37:00-07:00",
-          "2010-03-04T07:38:00-07:00",
-          "2010-03-04T07:39:00-07:00",
-          "2010-03-04T07:40:00-07:00",
-          "2010-03-04T07:41:00-07:00",
-          "2010-03-04T07:42:00-07:00",
-          "2010-03-04T07:43:00-07:00",
-          "2010-03-04T07:44:00-07:00",
-          "2010-03-04T07:45:00-07:00",
-          "2010-03-04T07:46:00-07:00",
-          "2010-03-04T07:47:00-07:00",
-          "2010-03-04T07:48:00-07:00",
-          "2010-03-04T07:49:00-07:00",
-          "2010-03-04T07:50:00-07:00",
-          "2010-03-04T07:51:00-07:00",
-          "2010-03-04T07:52:00-07:00",
-          "2010-03-04T07:53:00-07:00",
-          "2010-03-04T07:54:00-07:00",
-          "2010-03-04T07:55:00-07:00",
-          "2010-03-04T07:56:00-07:00",
-          "2010-03-04T07:57:00-07:00",
-          "2010-03-04T07:58:00-07:00",
-          "2010-03-04T07:59:00-07:00",
-          "2010-03-04T08:00:00-07:00",
-          "2010-03-04T08:01:00-07:00",
-          "2010-03-04T08:02:00-07:00",
-          "2010-03-04T08:03:00-07:00",
-          "2010-03-04T08:04:00-07:00",
-          "2010-03-04T08:05:00-07:00",
-          "2010-03-04T08:06:00-07:00",
-          "2010-03-04T08:07:00-07:00",
-          "2010-03-04T08:08:00-07:00",
-          "2010-03-04T08:09:00-07:00",
-          "2010-03-04T08:10:00-07:00",
-          "2010-03-04T08:11:00-07:00",
-          "2010-03-04T08:12:00-07:00",
-          "2010-03-04T08:13:00-07:00",
-          "2010-03-04T08:14:00-07:00",
-          "2010-03-04T08:15:00-07:00",
-          "2010-03-04T08:16:00-07:00",
-          "2010-03-04T08:17:00-07:00",
-          "2010-03-04T08:18:00-07:00",
-          "2010-03-04T08:19:00-07:00",
-          "2010-03-04T08:20:00-07:00",
-          "2010-03-04T08:21:00-07:00",
-          "2010-03-04T08:22:00-07:00",
-          "2010-03-04T08:23:00-07:00",
-          "2010-03-04T08:24:00-07:00",
-          "2010-03-04T08:25:00-07:00",
-          "2010-03-04T08:26:00-07:00",
-          "2010-03-04T08:27:00-07:00",
-          "2010-03-04T08:28:00-07:00",
-          "2010-03-04T08:29:00-07:00",
-          "2010-03-04T08:30:00-07:00",
-          "2010-03-04T08:31:00-07:00",
-          "2010-03-04T08:32:00-07:00",
-          "2010-03-04T08:33:00-07:00",
-          "2010-03-04T08:34:00-07:00",
-          "2010-03-04T08:35:00-07:00",
-          "2010-03-04T08:36:00-07:00",
-          "2010-03-04T08:37:00-07:00",
-          "2010-03-04T08:38:00-07:00",
-          "2010-03-04T08:39:00-07:00",
-          "2010-03-04T08:40:00-07:00",
-          "2010-03-04T08:41:00-07:00",
-          "2010-03-04T08:42:00-07:00",
-          "2010-03-04T08:43:00-07:00",
-          "2010-03-04T08:44:00-07:00",
-          "2010-03-04T08:45:00-07:00",
-          "2010-03-04T08:46:00-07:00",
-          "2010-03-04T08:47:00-07:00",
-          "2010-03-04T08:48:00-07:00",
-          "2010-03-04T08:49:00-07:00",
-          "2010-03-04T08:50:00-07:00",
-          "2010-03-04T08:51:00-07:00",
-          "2010-03-04T08:52:00-07:00",
-          "2010-03-04T08:53:00-07:00",
-          "2010-03-04T08:54:00-07:00",
-          "2010-03-04T08:55:00-07:00",
-          "2010-03-04T08:56:00-07:00",
-          "2010-03-04T08:57:00-07:00",
-          "2010-03-04T08:58:00-07:00",
-          "2010-03-04T08:59:00-07:00",
-          "2010-03-04T09:00:00-07:00",
-          "2010-03-04T09:01:00-07:00",
-          "2010-03-04T09:02:00-07:00",
-          "2010-03-04T09:03:00-07:00",
-          "2010-03-04T09:04:00-07:00",
-          "2010-03-04T09:05:00-07:00",
-          "2010-03-04T09:06:00-07:00",
-          "2010-03-04T09:07:00-07:00",
-          "2010-03-04T09:08:00-07:00",
-          "2010-03-04T09:09:00-07:00",
-          "2010-03-04T09:10:00-07:00",
-          "2010-03-04T09:11:00-07:00",
-          "2010-03-04T09:12:00-07:00",
-          "2010-03-04T09:13:00-07:00",
-          "2010-03-04T09:14:00-07:00",
-          "2010-03-04T09:15:00-07:00",
-          "2010-03-04T09:16:00-07:00",
-          "2010-03-04T09:17:00-07:00",
-          "2010-03-04T09:18:00-07:00",
-          "2010-03-04T09:19:00-07:00",
-          "2010-03-04T09:20:00-07:00",
-          "2010-03-04T09:21:00-07:00",
-          "2010-03-04T09:22:00-07:00",
-          "2010-03-04T09:23:00-07:00",
-          "2010-03-04T09:24:00-07:00",
-          "2010-03-04T09:25:00-07:00",
-          "2010-03-04T09:26:00-07:00",
-          "2010-03-04T09:27:00-07:00",
-          "2010-03-04T09:28:00-07:00",
-          "2010-03-04T09:29:00-07:00",
-          "2010-03-04T09:30:00-07:00",
-          "2010-03-04T09:31:00-07:00",
-          "2010-03-04T09:32:00-07:00",
-          "2010-03-04T09:33:00-07:00",
-          "2010-03-04T09:34:00-07:00",
-          "2010-03-04T09:35:00-07:00",
-          "2010-03-04T09:36:00-07:00",
-          "2010-03-04T09:37:00-07:00",
-          "2010-03-04T09:38:00-07:00",
-          "2010-03-04T09:39:00-07:00",
-          "2010-03-04T09:40:00-07:00",
-          "2010-03-04T09:41:00-07:00",
-          "2010-03-04T09:42:00-07:00",
-          "2010-03-04T09:43:00-07:00",
-          "2010-03-04T09:44:00-07:00",
-          "2010-03-04T09:45:00-07:00",
-          "2010-03-04T09:46:00-07:00",
-          "2010-03-04T09:47:00-07:00",
-          "2010-03-04T09:48:00-07:00",
-          "2010-03-04T09:49:00-07:00",
-          "2010-03-04T09:50:00-07:00",
-          "2010-03-04T09:51:00-07:00",
-          "2010-03-04T09:52:00-07:00",
-          "2010-03-04T09:53:00-07:00",
-          "2010-03-04T09:54:00-07:00",
-          "2010-03-04T09:55:00-07:00",
-          "2010-03-04T09:56:00-07:00",
-          "2010-03-04T09:57:00-07:00",
-          "2010-03-04T09:58:00-07:00",
-          "2010-03-04T09:59:00-07:00",
-          "2010-03-04T10:00:00-07:00",
-          "2010-03-04T10:01:00-07:00",
-          "2010-03-04T10:02:00-07:00",
-          "2010-03-04T10:03:00-07:00",
-          "2010-03-04T10:04:00-07:00",
-          "2010-03-04T10:05:00-07:00",
-          "2010-03-04T10:06:00-07:00",
-          "2010-03-04T10:07:00-07:00",
-          "2010-03-04T10:08:00-07:00",
-          "2010-03-04T10:09:00-07:00",
-          "2010-03-04T10:10:00-07:00",
-          "2010-03-04T10:11:00-07:00",
-          "2010-03-04T10:12:00-07:00",
-          "2010-03-04T10:13:00-07:00",
-          "2010-03-04T10:14:00-07:00",
-          "2010-03-04T10:15:00-07:00",
-          "2010-03-04T10:16:00-07:00",
-          "2010-03-04T10:17:00-07:00",
-          "2010-03-04T10:18:00-07:00",
-          "2010-03-04T10:19:00-07:00",
-          "2010-03-04T10:20:00-07:00",
-          "2010-03-04T10:21:00-07:00",
-          "2010-03-04T10:22:00-07:00",
-          "2010-03-04T10:23:00-07:00",
-          "2010-03-04T10:24:00-07:00",
-          "2010-03-04T10:25:00-07:00",
-          "2010-03-04T10:26:00-07:00",
-          "2010-03-04T10:27:00-07:00",
-          "2010-03-04T10:28:00-07:00",
-          "2010-03-04T10:29:00-07:00",
-          "2010-03-04T10:30:00-07:00",
-          "2010-03-04T10:31:00-07:00",
-          "2010-03-04T10:32:00-07:00",
-          "2010-03-04T10:33:00-07:00",
-          "2010-03-04T10:34:00-07:00",
-          "2010-03-04T10:35:00-07:00",
-          "2010-03-04T10:36:00-07:00",
-          "2010-03-04T10:37:00-07:00",
-          "2010-03-04T10:38:00-07:00",
-          "2010-03-04T10:39:00-07:00",
-          "2010-03-04T10:40:00-07:00",
-          "2010-03-04T10:41:00-07:00",
-          "2010-03-04T10:42:00-07:00",
-          "2010-03-04T10:43:00-07:00",
-          "2010-03-04T10:44:00-07:00",
-          "2010-03-04T10:45:00-07:00",
-          "2010-03-04T10:46:00-07:00",
-          "2010-03-04T10:47:00-07:00",
-          "2010-03-04T10:48:00-07:00",
-          "2010-03-04T10:49:00-07:00",
-          "2010-03-04T10:50:00-07:00",
-          "2010-03-04T10:51:00-07:00",
-          "2010-03-04T10:52:00-07:00",
-          "2010-03-04T10:53:00-07:00",
-          "2010-03-04T10:54:00-07:00",
-          "2010-03-04T10:55:00-07:00",
-          "2010-03-04T10:56:00-07:00",
-          "2010-03-04T10:57:00-07:00",
-          "2010-03-04T10:58:00-07:00",
-          "2010-03-04T10:59:00-07:00",
-          "2010-03-04T11:00:00-07:00",
-          "2010-03-04T11:01:00-07:00",
-          "2010-03-04T11:02:00-07:00",
-          "2010-03-04T11:03:00-07:00",
-          "2010-03-04T11:04:00-07:00",
-          "2010-03-04T11:05:00-07:00",
-          "2010-03-04T11:06:00-07:00",
-          "2010-03-04T11:07:00-07:00",
-          "2010-03-04T11:08:00-07:00",
-          "2010-03-04T11:09:00-07:00",
-          "2010-03-04T11:10:00-07:00",
-          "2010-03-04T11:11:00-07:00",
-          "2010-03-04T11:12:00-07:00",
-          "2010-03-04T11:13:00-07:00",
-          "2010-03-04T11:14:00-07:00",
-          "2010-03-04T11:15:00-07:00",
-          "2010-03-04T11:16:00-07:00",
-          "2010-03-04T11:17:00-07:00",
-          "2010-03-04T11:18:00-07:00",
-          "2010-03-04T11:19:00-07:00",
-          "2010-03-04T11:20:00-07:00",
-          "2010-03-04T11:21:00-07:00",
-          "2010-03-04T11:22:00-07:00",
-          "2010-03-04T11:23:00-07:00",
-          "2010-03-04T11:24:00-07:00",
-          "2010-03-04T11:25:00-07:00",
-          "2010-03-04T11:26:00-07:00",
-          "2010-03-04T11:27:00-07:00",
-          "2010-03-04T11:28:00-07:00",
-          "2010-03-04T11:29:00-07:00",
-          "2010-03-04T11:30:00-07:00",
-          "2010-03-04T11:31:00-07:00",
-          "2010-03-04T11:32:00-07:00",
-          "2010-03-04T11:33:00-07:00",
-          "2010-03-04T11:34:00-07:00",
-          "2010-03-04T11:35:00-07:00",
-          "2010-03-04T11:36:00-07:00",
-          "2010-03-04T11:37:00-07:00",
-          "2010-03-04T11:38:00-07:00",
-          "2010-03-04T11:39:00-07:00",
-          "2010-03-04T11:40:00-07:00",
-          "2010-03-04T11:41:00-07:00",
-          "2010-03-04T11:42:00-07:00",
-          "2010-03-04T11:43:00-07:00",
-          "2010-03-04T11:44:00-07:00",
-          "2010-03-04T11:45:00-07:00",
-          "2010-03-04T11:46:00-07:00",
-          "2010-03-04T11:47:00-07:00",
-          "2010-03-04T11:48:00-07:00",
-          "2010-03-04T11:49:00-07:00",
-          "2010-03-04T11:50:00-07:00",
-          "2010-03-04T11:51:00-07:00",
-          "2010-03-04T11:52:00-07:00",
-          "2010-03-04T11:53:00-07:00",
-          "2010-03-04T11:54:00-07:00",
-          "2010-03-04T11:55:00-07:00",
-          "2010-03-04T11:56:00-07:00",
-          "2010-03-04T11:57:00-07:00",
-          "2010-03-04T11:58:00-07:00",
-          "2010-03-04T11:59:00-07:00",
-          "2010-03-04T12:00:00-07:00",
-          "2010-03-04T12:01:00-07:00",
-          "2010-03-04T12:02:00-07:00",
-          "2010-03-04T12:03:00-07:00",
-          "2010-03-04T12:04:00-07:00",
-          "2010-03-04T12:05:00-07:00",
-          "2010-03-04T12:06:00-07:00",
-          "2010-03-04T12:07:00-07:00",
-          "2010-03-04T12:08:00-07:00",
-          "2010-03-04T12:09:00-07:00",
-          "2010-03-04T12:10:00-07:00",
-          "2010-03-04T12:11:00-07:00",
-          "2010-03-04T12:12:00-07:00",
-          "2010-03-04T12:13:00-07:00",
-          "2010-03-04T12:14:00-07:00",
-          "2010-03-04T12:15:00-07:00",
-          "2010-03-04T12:16:00-07:00",
-          "2010-03-04T12:17:00-07:00",
-          "2010-03-04T12:18:00-07:00",
-          "2010-03-04T12:19:00-07:00",
-          "2010-03-04T12:20:00-07:00",
-          "2010-03-04T12:21:00-07:00",
-          "2010-03-04T12:22:00-07:00",
-          "2010-03-04T12:23:00-07:00",
-          "2010-03-04T12:24:00-07:00",
-          "2010-03-04T12:25:00-07:00",
-          "2010-03-04T12:26:00-07:00",
-          "2010-03-04T12:27:00-07:00",
-          "2010-03-04T12:28:00-07:00",
-          "2010-03-04T12:29:00-07:00",
-          "2010-03-04T12:30:00-07:00",
-          "2010-03-04T12:31:00-07:00",
-          "2010-03-04T12:32:00-07:00",
-          "2010-03-04T12:33:00-07:00",
-          "2010-03-04T12:34:00-07:00",
-          "2010-03-04T12:36:00-07:00",
-          "2010-03-04T12:37:00-07:00",
-          "2010-03-04T12:38:00-07:00",
-          "2010-03-04T12:39:00-07:00",
-          "2010-03-04T12:42:00-07:00",
-          "2010-03-04T12:43:00-07:00",
-          "2010-03-04T12:44:00-07:00",
-          "2010-03-04T12:46:00-07:00",
-          "2010-03-04T12:47:00-07:00",
-          "2010-03-04T12:48:00-07:00",
-          "2010-03-04T12:49:00-07:00",
-          "2010-03-04T12:51:00-07:00",
-          "2010-03-04T12:52:00-07:00",
-          "2010-03-04T12:53:00-07:00",
-          "2010-03-04T12:55:00-07:00",
-          "2010-03-04T12:57:00-07:00",
-          "2010-03-04T12:58:00-07:00",
-          "2010-03-04T12:59:00-07:00",
-          "2010-03-04T13:00:00-07:00",
-          "2010-03-04T13:01:00-07:00",
-          "2010-03-04T13:02:00-07:00",
-          "2010-03-04T13:03:00-07:00",
-          "2010-03-04T13:04:00-07:00",
-          "2010-03-04T13:05:00-07:00",
-          "2010-03-04T13:06:00-07:00",
-          "2010-03-04T13:07:00-07:00",
-          "2010-03-04T13:08:00-07:00",
-          "2010-03-04T13:09:00-07:00",
-          "2010-03-04T13:10:00-07:00",
-          "2010-03-04T13:11:00-07:00",
-          "2010-03-04T13:14:00-07:00",
-          "2010-03-04T13:15:00-07:00",
-          "2010-03-04T13:16:00-07:00",
-          "2010-03-04T13:17:00-07:00",
-          "2010-03-04T13:18:00-07:00",
-          "2010-03-04T13:19:00-07:00",
-          "2010-03-04T13:20:00-07:00",
-          "2010-03-04T13:21:00-07:00",
-          "2010-03-04T13:22:00-07:00",
-          "2010-03-04T13:23:00-07:00",
-          "2010-03-04T13:24:00-07:00",
-          "2010-03-04T13:25:00-07:00",
-          "2010-03-04T13:26:00-07:00",
-          "2010-03-04T13:27:00-07:00",
-          "2010-03-04T13:28:00-07:00",
-          "2010-03-04T13:29:00-07:00",
-          "2010-03-04T13:30:00-07:00",
-          "2010-03-04T13:31:00-07:00",
-          "2010-03-04T13:32:00-07:00",
-          "2010-03-04T13:33:00-07:00",
-          "2010-03-04T13:34:00-07:00",
-          "2010-03-04T13:35:00-07:00",
-          "2010-03-04T13:36:00-07:00",
-          "2010-03-04T13:37:00-07:00",
-          "2010-03-04T13:41:00-07:00",
-          "2010-03-04T13:42:00-07:00",
-          "2010-03-04T13:43:00-07:00",
-          "2010-03-04T13:44:00-07:00",
-          "2010-03-04T13:45:00-07:00",
-          "2010-03-04T13:46:00-07:00",
-          "2010-03-04T13:47:00-07:00",
-          "2010-03-04T13:48:00-07:00",
-          "2010-03-04T13:49:00-07:00",
-          "2010-03-04T13:50:00-07:00",
-          "2010-03-04T13:51:00-07:00",
-          "2010-03-04T13:53:00-07:00",
-          "2010-03-04T13:56:00-07:00",
-          "2010-03-04T13:57:00-07:00",
-          "2010-03-04T13:58:00-07:00",
-          "2010-03-04T13:59:00-07:00",
-          "2010-03-04T14:00:00-07:00",
-          "2010-03-04T14:01:00-07:00",
-          "2010-03-04T14:02:00-07:00",
-          "2010-03-04T14:03:00-07:00",
-          "2010-03-04T14:04:00-07:00",
-          "2010-03-04T14:05:00-07:00",
-          "2010-03-04T14:06:00-07:00",
-          "2010-03-04T14:07:00-07:00",
-          "2010-03-04T14:08:00-07:00",
-          "2010-03-04T14:09:00-07:00",
-          "2010-03-04T14:10:00-07:00",
-          "2010-03-04T14:11:00-07:00",
-          "2010-03-04T14:12:00-07:00",
-          "2010-03-04T14:13:00-07:00",
-          "2010-03-04T14:14:00-07:00",
-          "2010-03-04T14:15:00-07:00",
-          "2010-03-04T14:16:00-07:00",
-          "2010-03-04T14:17:00-07:00",
-          "2010-03-04T14:18:00-07:00",
-          "2010-03-04T14:19:00-07:00",
-          "2010-03-04T14:20:00-07:00",
-          "2010-03-04T14:21:00-07:00",
-          "2010-03-04T14:22:00-07:00",
-          "2010-03-04T14:23:00-07:00",
-          "2010-03-04T14:24:00-07:00",
-          "2010-03-04T14:25:00-07:00",
-          "2010-03-04T14:26:00-07:00",
-          "2010-03-04T14:27:00-07:00",
-          "2010-03-04T14:28:00-07:00",
-          "2010-03-04T14:29:00-07:00",
-          "2010-03-04T14:30:00-07:00",
-          "2010-03-04T14:31:00-07:00",
-          "2010-03-04T14:32:00-07:00",
-          "2010-03-04T14:33:00-07:00",
-          "2010-03-04T14:34:00-07:00",
-          "2010-03-04T14:35:00-07:00",
-          "2010-03-04T14:36:00-07:00",
-          "2010-03-04T14:37:00-07:00",
-          "2010-03-04T14:38:00-07:00",
-          "2010-03-04T14:39:00-07:00",
-          "2010-03-04T14:40:00-07:00",
-          "2010-03-04T14:41:00-07:00",
-          "2010-03-04T14:42:00-07:00",
-          "2010-03-04T14:43:00-07:00",
-          "2010-03-04T14:44:00-07:00",
-          "2010-03-04T14:45:00-07:00",
-          "2010-03-04T14:46:00-07:00",
-          "2010-03-04T14:47:00-07:00",
-          "2010-03-04T14:48:00-07:00",
-          "2010-03-04T14:49:00-07:00",
-          "2010-03-04T14:50:00-07:00",
-          "2010-03-04T14:51:00-07:00",
-          "2010-03-04T14:52:00-07:00",
-          "2010-03-04T14:53:00-07:00",
-          "2010-03-04T14:54:00-07:00",
-          "2010-03-04T14:55:00-07:00",
-          "2010-03-04T14:56:00-07:00",
-          "2010-03-04T14:57:00-07:00",
-          "2010-03-04T14:58:00-07:00",
-          "2010-03-04T14:59:00-07:00",
-          "2010-03-04T15:00:00-07:00",
-          "2010-03-04T15:01:00-07:00",
-          "2010-03-04T15:02:00-07:00",
-          "2010-03-04T15:03:00-07:00",
-          "2010-03-04T15:04:00-07:00",
-          "2010-03-04T15:05:00-07:00",
-          "2010-03-04T15:06:00-07:00",
-          "2010-03-04T15:07:00-07:00",
-          "2010-03-04T15:08:00-07:00",
-          "2010-03-04T15:09:00-07:00",
-          "2010-03-04T15:10:00-07:00",
-          "2010-03-04T15:11:00-07:00",
-          "2010-03-04T15:12:00-07:00",
-          "2010-03-04T15:13:00-07:00",
-          "2010-03-04T15:14:00-07:00",
-          "2010-03-04T15:15:00-07:00",
-          "2010-03-04T15:16:00-07:00",
-          "2010-03-04T15:17:00-07:00",
-          "2010-03-04T15:18:00-07:00",
-          "2010-03-04T15:19:00-07:00",
-          "2010-03-04T15:20:00-07:00",
-          "2010-03-04T15:21:00-07:00",
-          "2010-03-04T15:22:00-07:00",
-          "2010-03-04T15:23:00-07:00",
-          "2010-03-04T15:24:00-07:00",
-          "2010-03-04T15:25:00-07:00",
-          "2010-03-04T15:26:00-07:00",
-          "2010-03-04T15:27:00-07:00",
-          "2010-03-04T15:28:00-07:00",
-          "2010-03-04T15:29:00-07:00",
-          "2010-03-04T15:30:00-07:00",
-          "2010-03-04T15:31:00-07:00",
-          "2010-03-04T15:32:00-07:00",
-          "2010-03-04T15:33:00-07:00",
-          "2010-03-04T15:34:00-07:00",
-          "2010-03-04T15:35:00-07:00",
-          "2010-03-04T15:36:00-07:00",
-          "2010-03-04T15:37:00-07:00",
-          "2010-03-04T15:38:00-07:00",
-          "2010-03-04T15:39:00-07:00",
-          "2010-03-04T15:40:00-07:00",
-          "2010-03-04T15:41:00-07:00",
-          "2010-03-04T15:42:00-07:00",
-          "2010-03-04T15:43:00-07:00",
-          "2010-03-04T15:44:00-07:00",
-          "2010-03-04T15:45:00-07:00",
-          "2010-03-04T15:46:00-07:00",
-          "2010-03-04T15:47:00-07:00",
-          "2010-03-04T15:48:00-07:00",
-          "2010-03-04T15:49:00-07:00",
-          "2010-03-04T15:50:00-07:00",
-          "2010-03-04T15:51:00-07:00",
-          "2010-03-04T15:52:00-07:00",
-          "2010-03-04T15:53:00-07:00",
-          "2010-03-04T15:54:00-07:00",
-          "2010-03-04T15:55:00-07:00",
-          "2010-03-04T15:56:00-07:00",
-          "2010-03-04T15:57:00-07:00",
-          "2010-03-04T15:58:00-07:00",
-          "2010-03-04T15:59:00-07:00",
-          "2010-03-04T16:00:00-07:00",
-          "2010-03-04T16:01:00-07:00",
-          "2010-03-04T16:02:00-07:00",
-          "2010-03-04T16:03:00-07:00",
-          "2010-03-04T16:04:00-07:00",
-          "2010-03-04T16:05:00-07:00",
-          "2010-03-04T16:06:00-07:00",
-          "2010-03-04T16:07:00-07:00",
-          "2010-03-04T16:08:00-07:00",
-          "2010-03-04T16:09:00-07:00",
-          "2010-03-04T16:10:00-07:00",
-          "2010-03-04T16:11:00-07:00",
-          "2010-03-04T16:12:00-07:00",
-          "2010-03-04T16:13:00-07:00",
-          "2010-03-04T16:14:00-07:00",
-          "2010-03-04T16:15:00-07:00",
-          "2010-03-04T16:16:00-07:00",
-          "2010-03-04T16:17:00-07:00",
-          "2010-03-04T16:18:00-07:00",
-          "2010-03-04T16:19:00-07:00",
-          "2010-03-04T16:20:00-07:00",
-          "2010-03-04T16:21:00-07:00",
-          "2010-03-04T16:22:00-07:00",
-          "2010-03-04T16:23:00-07:00",
-          "2010-03-04T16:24:00-07:00",
-          "2010-03-04T16:25:00-07:00",
-          "2010-03-04T16:26:00-07:00",
-          "2010-03-04T16:27:00-07:00",
-          "2010-03-04T16:28:00-07:00",
-          "2010-03-04T16:29:00-07:00",
-          "2010-03-04T16:30:00-07:00",
-          "2010-03-04T16:31:00-07:00",
-          "2010-03-04T16:32:00-07:00",
-          "2010-03-04T16:33:00-07:00",
-          "2010-03-04T16:34:00-07:00",
-          "2010-03-04T16:35:00-07:00",
-          "2010-03-04T16:36:00-07:00",
-          "2010-03-04T16:37:00-07:00",
-          "2010-03-04T16:38:00-07:00",
-          "2010-03-04T16:39:00-07:00",
-          "2010-03-04T16:40:00-07:00",
-          "2010-03-04T16:41:00-07:00",
-          "2010-03-04T16:42:00-07:00",
-          "2010-03-04T16:43:00-07:00",
-          "2010-03-04T16:44:00-07:00",
-          "2010-03-04T16:45:00-07:00",
-          "2010-03-04T16:46:00-07:00",
-          "2010-03-04T16:47:00-07:00",
-          "2010-03-04T16:48:00-07:00",
-          "2010-03-04T16:49:00-07:00",
-          "2010-03-04T16:50:00-07:00",
-          "2010-03-04T16:51:00-07:00",
-          "2010-03-04T16:52:00-07:00",
-          "2010-03-04T16:53:00-07:00",
-          "2010-03-04T16:54:00-07:00",
-          "2010-03-04T16:55:00-07:00",
-          "2010-03-04T16:56:00-07:00",
-          "2010-03-04T16:57:00-07:00",
-          "2010-03-04T16:58:00-07:00",
-          "2010-03-04T16:59:00-07:00",
-          "2010-03-04T17:00:00-07:00",
-          "2010-03-04T17:01:00-07:00",
-          "2010-03-04T17:02:00-07:00",
-          "2010-03-04T17:03:00-07:00",
-          "2010-03-04T17:04:00-07:00",
-          "2010-03-04T17:05:00-07:00",
-          "2010-03-04T17:06:00-07:00",
-          "2010-03-04T17:07:00-07:00",
-          "2010-03-04T17:08:00-07:00",
-          "2010-03-04T17:09:00-07:00",
-          "2010-03-04T17:10:00-07:00",
-          "2010-03-04T17:11:00-07:00",
-          "2010-03-04T17:12:00-07:00",
-          "2010-03-04T17:13:00-07:00",
-          "2010-03-04T17:14:00-07:00",
-          "2010-03-04T17:15:00-07:00",
-          "2010-03-04T17:16:00-07:00",
-          "2010-03-04T17:17:00-07:00",
-          "2010-03-04T17:18:00-07:00",
-          "2010-03-04T17:19:00-07:00",
-          "2010-03-04T17:20:00-07:00",
-          "2010-03-04T17:21:00-07:00",
-          "2010-03-04T17:22:00-07:00",
-          "2010-03-04T17:23:00-07:00",
-          "2010-03-04T17:24:00-07:00",
-          "2010-03-04T17:25:00-07:00",
-          "2010-03-04T17:26:00-07:00",
-          "2010-03-04T17:27:00-07:00",
-          "2010-03-04T17:28:00-07:00",
-          "2010-03-04T17:29:00-07:00",
-          "2010-03-04T17:30:00-07:00",
-          "2010-03-04T17:31:00-07:00",
-          "2010-03-04T17:32:00-07:00",
-          "2010-03-04T17:33:00-07:00",
-          "2010-03-04T17:34:00-07:00",
-          "2010-03-04T17:35:00-07:00",
-          "2010-03-04T17:38:00-07:00",
-          "2010-03-04T17:39:00-07:00",
-          "2010-03-04T17:40:00-07:00",
-          "2010-03-05T06:51:00-07:00",
-          "2010-03-05T06:54:00-07:00",
-          "2010-03-05T06:55:00-07:00",
-          "2010-03-05T06:56:00-07:00",
-          "2010-03-05T06:57:00-07:00",
-          "2010-03-05T06:58:00-07:00",
-          "2010-03-05T06:59:00-07:00",
-          "2010-03-05T07:00:00-07:00",
-          "2010-03-05T07:01:00-07:00",
-          "2010-03-05T07:02:00-07:00",
-          "2010-03-05T07:03:00-07:00",
-          "2010-03-05T07:04:00-07:00",
-          "2010-03-05T07:05:00-07:00",
-          "2010-03-05T07:06:00-07:00",
-          "2010-03-05T07:07:00-07:00",
-          "2010-03-05T07:08:00-07:00",
-          "2010-03-05T07:09:00-07:00",
-          "2010-03-05T07:10:00-07:00",
-          "2010-03-05T07:11:00-07:00",
-          "2010-03-05T07:12:00-07:00",
-          "2010-03-05T07:13:00-07:00",
-          "2010-03-05T07:14:00-07:00",
-          "2010-03-05T07:15:00-07:00",
-          "2010-03-05T07:16:00-07:00",
-          "2010-03-05T07:17:00-07:00",
-          "2010-03-05T07:18:00-07:00",
-          "2010-03-05T07:19:00-07:00",
-          "2010-03-05T07:20:00-07:00",
-          "2010-03-05T07:21:00-07:00",
-          "2010-03-05T07:22:00-07:00",
-          "2010-03-05T07:23:00-07:00",
-          "2010-03-05T07:24:00-07:00",
-          "2010-03-05T07:25:00-07:00",
-          "2010-03-05T07:26:00-07:00",
-          "2010-03-05T07:27:00-07:00",
-          "2010-03-05T07:28:00-07:00",
-          "2010-03-05T07:29:00-07:00",
-          "2010-03-05T07:30:00-07:00",
-          "2010-03-05T07:31:00-07:00",
-          "2010-03-05T07:32:00-07:00",
-          "2010-03-05T07:33:00-07:00",
-          "2010-03-05T07:34:00-07:00",
-          "2010-03-05T07:35:00-07:00",
-          "2010-03-05T07:36:00-07:00",
-          "2010-03-05T07:37:00-07:00",
-          "2010-03-05T07:38:00-07:00",
-          "2010-03-05T07:39:00-07:00",
-          "2010-03-05T07:40:00-07:00",
-          "2010-03-05T07:41:00-07:00",
-          "2010-03-05T07:42:00-07:00",
-          "2010-03-05T07:43:00-07:00",
-          "2010-03-05T07:44:00-07:00",
-          "2010-03-05T07:45:00-07:00",
-          "2010-03-05T07:46:00-07:00",
-          "2010-03-05T07:47:00-07:00",
-          "2010-03-05T07:48:00-07:00",
-          "2010-03-05T07:49:00-07:00",
-          "2010-03-05T07:50:00-07:00",
-          "2010-03-05T07:51:00-07:00",
-          "2010-03-05T07:52:00-07:00",
-          "2010-03-05T07:53:00-07:00",
-          "2010-03-05T07:54:00-07:00",
-          "2010-03-05T07:55:00-07:00",
-          "2010-03-05T07:56:00-07:00",
-          "2010-03-05T07:57:00-07:00",
-          "2010-03-05T07:58:00-07:00",
-          "2010-03-05T07:59:00-07:00",
-          "2010-03-05T08:00:00-07:00",
-          "2010-03-05T08:01:00-07:00",
-          "2010-03-05T08:02:00-07:00",
-          "2010-03-05T08:03:00-07:00",
-          "2010-03-05T08:04:00-07:00",
-          "2010-03-05T08:05:00-07:00",
-          "2010-03-05T08:06:00-07:00",
-          "2010-03-05T08:07:00-07:00",
-          "2010-03-05T08:08:00-07:00",
-          "2010-03-05T08:09:00-07:00",
-          "2010-03-05T08:10:00-07:00",
-          "2010-03-05T08:11:00-07:00",
-          "2010-03-05T08:12:00-07:00",
-          "2010-03-05T08:13:00-07:00",
-          "2010-03-05T08:14:00-07:00",
-          "2010-03-05T08:15:00-07:00",
-          "2010-03-05T08:16:00-07:00",
-          "2010-03-05T08:17:00-07:00",
-          "2010-03-05T08:18:00-07:00",
-          "2010-03-05T08:19:00-07:00",
-          "2010-03-05T08:20:00-07:00",
-          "2010-03-05T08:21:00-07:00",
-          "2010-03-05T08:22:00-07:00",
-          "2010-03-05T08:23:00-07:00",
-          "2010-03-05T08:24:00-07:00",
-          "2010-03-05T08:25:00-07:00",
-          "2010-03-05T08:26:00-07:00",
-          "2010-03-05T08:27:00-07:00",
-          "2010-03-05T08:28:00-07:00",
-          "2010-03-05T08:29:00-07:00",
-          "2010-03-05T08:30:00-07:00",
-          "2010-03-05T08:31:00-07:00",
-          "2010-03-05T08:32:00-07:00",
-          "2010-03-05T08:33:00-07:00",
-          "2010-03-05T08:34:00-07:00",
-          "2010-03-05T08:35:00-07:00",
-          "2010-03-05T08:36:00-07:00",
-          "2010-03-05T08:37:00-07:00",
-          "2010-03-05T08:38:00-07:00",
-          "2010-03-05T08:39:00-07:00",
-          "2010-03-05T08:40:00-07:00",
-          "2010-03-05T08:41:00-07:00",
-          "2010-03-05T08:42:00-07:00",
-          "2010-03-05T08:43:00-07:00",
-          "2010-03-05T08:44:00-07:00",
-          "2010-03-05T08:45:00-07:00",
-          "2010-03-05T08:46:00-07:00",
-          "2010-03-05T08:47:00-07:00",
-          "2010-03-05T08:48:00-07:00",
-          "2010-03-05T08:49:00-07:00",
-          "2010-03-05T08:50:00-07:00",
-          "2010-03-05T08:51:00-07:00",
-          "2010-03-05T08:52:00-07:00",
-          "2010-03-05T08:53:00-07:00",
-          "2010-03-05T08:54:00-07:00",
-          "2010-03-05T08:55:00-07:00",
-          "2010-03-05T08:56:00-07:00",
-          "2010-03-05T08:57:00-07:00",
-          "2010-03-05T08:58:00-07:00",
-          "2010-03-05T08:59:00-07:00",
-          "2010-03-05T09:00:00-07:00",
-          "2010-03-05T09:01:00-07:00",
-          "2010-03-05T09:02:00-07:00",
-          "2010-03-05T09:03:00-07:00",
-          "2010-03-05T09:04:00-07:00",
-          "2010-03-05T09:05:00-07:00",
-          "2010-03-05T09:06:00-07:00",
-          "2010-03-05T09:07:00-07:00",
-          "2010-03-05T09:08:00-07:00",
-          "2010-03-05T09:09:00-07:00",
-          "2010-03-05T09:10:00-07:00",
-          "2010-03-05T09:11:00-07:00",
-          "2010-03-05T09:12:00-07:00",
-          "2010-03-05T09:13:00-07:00",
-          "2010-03-05T09:14:00-07:00",
-          "2010-03-05T09:15:00-07:00",
-          "2010-03-05T09:16:00-07:00",
-          "2010-03-05T09:17:00-07:00",
-          "2010-03-05T09:18:00-07:00",
-          "2010-03-05T09:19:00-07:00",
-          "2010-03-05T09:20:00-07:00",
-          "2010-03-05T09:21:00-07:00",
-          "2010-03-05T09:22:00-07:00",
-          "2010-03-05T09:23:00-07:00",
-          "2010-03-05T09:24:00-07:00",
-          "2010-03-05T09:25:00-07:00",
-          "2010-03-05T09:26:00-07:00",
-          "2010-03-05T09:27:00-07:00",
-          "2010-03-05T09:28:00-07:00",
-          "2010-03-05T09:29:00-07:00",
-          "2010-03-05T09:30:00-07:00",
-          "2010-03-05T09:31:00-07:00",
-          "2010-03-05T09:32:00-07:00",
-          "2010-03-05T09:33:00-07:00",
-          "2010-03-05T09:34:00-07:00",
-          "2010-03-05T09:35:00-07:00",
-          "2010-03-05T09:36:00-07:00",
-          "2010-03-05T09:37:00-07:00",
-          "2010-03-05T09:38:00-07:00",
-          "2010-03-05T09:39:00-07:00",
-          "2010-03-05T09:40:00-07:00",
-          "2010-03-05T09:41:00-07:00",
-          "2010-03-05T09:42:00-07:00",
-          "2010-03-05T09:43:00-07:00",
-          "2010-03-05T09:44:00-07:00",
-          "2010-03-05T09:45:00-07:00",
-          "2010-03-05T09:46:00-07:00",
-          "2010-03-05T09:47:00-07:00",
-          "2010-03-05T09:48:00-07:00",
-          "2010-03-05T09:49:00-07:00",
-          "2010-03-05T09:50:00-07:00",
-          "2010-03-05T09:51:00-07:00",
-          "2010-03-05T09:53:00-07:00",
-          "2010-03-05T09:55:00-07:00",
-          "2010-03-05T09:56:00-07:00",
-          "2010-03-05T09:57:00-07:00",
-          "2010-03-05T09:59:00-07:00",
-          "2010-03-05T10:00:00-07:00",
-          "2010-03-05T10:02:00-07:00",
-          "2010-03-05T10:03:00-07:00",
-          "2010-03-05T10:07:00-07:00",
-          "2010-03-05T10:08:00-07:00",
-          "2010-03-05T10:09:00-07:00",
-          "2010-03-05T10:10:00-07:00",
-          "2010-03-05T10:11:00-07:00",
-          "2010-03-05T10:12:00-07:00",
-          "2010-03-05T10:13:00-07:00",
-          "2010-03-05T10:14:00-07:00",
-          "2010-03-05T10:15:00-07:00",
-          "2010-03-05T10:16:00-07:00",
-          "2010-03-05T10:17:00-07:00",
-          "2010-03-05T10:18:00-07:00",
-          "2010-03-05T10:19:00-07:00",
-          "2010-03-05T10:20:00-07:00",
-          "2010-03-05T10:21:00-07:00",
-          "2010-03-05T10:22:00-07:00",
-          "2010-03-05T10:23:00-07:00",
-          "2010-03-05T10:24:00-07:00",
-          "2010-03-05T10:25:00-07:00",
-          "2010-03-05T10:26:00-07:00",
-          "2010-03-05T10:27:00-07:00",
-          "2010-03-05T10:28:00-07:00",
-          "2010-03-05T10:29:00-07:00",
-          "2010-03-05T10:30:00-07:00",
-          "2010-03-05T10:31:00-07:00",
-          "2010-03-05T10:32:00-07:00",
-          "2010-03-05T10:33:00-07:00",
-          "2010-03-05T10:34:00-07:00",
-          "2010-03-05T10:35:00-07:00",
-          "2010-03-05T10:37:00-07:00",
-          "2010-03-05T10:38:00-07:00",
-          "2010-03-05T10:39:00-07:00",
-          "2010-03-05T10:40:00-07:00",
-          "2010-03-05T10:41:00-07:00",
-          "2010-03-05T10:42:00-07:00",
-          "2010-03-05T10:43:00-07:00",
-          "2010-03-05T10:44:00-07:00",
-          "2010-03-05T10:45:00-07:00",
-          "2010-03-05T10:46:00-07:00",
-          "2010-03-05T10:47:00-07:00",
-          "2010-03-05T10:48:00-07:00",
-          "2010-03-05T10:49:00-07:00",
-          "2010-03-05T10:50:00-07:00",
-          "2010-03-05T10:51:00-07:00",
-          "2010-03-05T10:52:00-07:00",
-          "2010-03-05T10:53:00-07:00",
-          "2010-03-05T10:54:00-07:00",
-          "2010-03-05T10:55:00-07:00",
-          "2010-03-05T10:56:00-07:00",
-          "2010-03-05T10:57:00-07:00",
-          "2010-03-05T10:58:00-07:00",
-          "2010-03-05T10:59:00-07:00",
-          "2010-03-05T11:00:00-07:00",
-          "2010-03-05T11:01:00-07:00",
-          "2010-03-05T11:02:00-07:00",
-          "2010-03-05T11:03:00-07:00",
-          "2010-03-05T11:04:00-07:00",
-          "2010-03-05T11:05:00-07:00",
-          "2010-03-05T11:06:00-07:00",
-          "2010-03-05T11:07:00-07:00",
-          "2010-03-05T11:08:00-07:00",
-          "2010-03-05T11:09:00-07:00",
-          "2010-03-05T11:10:00-07:00",
-          "2010-03-05T11:11:00-07:00",
-          "2010-03-05T11:12:00-07:00",
-          "2010-03-05T11:13:00-07:00",
-          "2010-03-05T11:14:00-07:00",
-          "2010-03-05T11:15:00-07:00",
-          "2010-03-05T11:16:00-07:00",
-          "2010-03-05T11:17:00-07:00",
-          "2010-03-05T11:18:00-07:00",
-          "2010-03-05T11:19:00-07:00",
-          "2010-03-05T11:20:00-07:00",
-          "2010-03-05T11:21:00-07:00",
-          "2010-03-05T11:22:00-07:00",
-          "2010-03-05T11:23:00-07:00",
-          "2010-03-05T11:24:00-07:00",
-          "2010-03-05T11:25:00-07:00",
-          "2010-03-05T11:26:00-07:00",
-          "2010-03-05T11:27:00-07:00",
-          "2010-03-05T11:28:00-07:00",
-          "2010-03-05T11:29:00-07:00",
-          "2010-03-05T11:30:00-07:00",
-          "2010-03-05T11:31:00-07:00",
-          "2010-03-05T11:32:00-07:00",
-          "2010-03-05T11:33:00-07:00",
-          "2010-03-05T11:34:00-07:00",
-          "2010-03-05T11:35:00-07:00",
-          "2010-03-05T11:36:00-07:00",
-          "2010-03-05T11:37:00-07:00",
-          "2010-03-05T11:38:00-07:00",
-          "2010-03-05T11:39:00-07:00",
-          "2010-03-05T11:40:00-07:00",
-          "2010-03-05T11:41:00-07:00",
-          "2010-03-05T11:42:00-07:00",
-          "2010-03-05T11:43:00-07:00",
-          "2010-03-05T11:44:00-07:00",
-          "2010-03-05T11:45:00-07:00",
-          "2010-03-05T11:46:00-07:00",
-          "2010-03-05T11:47:00-07:00",
-          "2010-03-05T11:48:00-07:00",
-          "2010-03-05T11:49:00-07:00",
-          "2010-03-05T11:50:00-07:00",
-          "2010-03-05T11:51:00-07:00",
-          "2010-03-05T11:52:00-07:00",
-          "2010-03-05T11:53:00-07:00",
-          "2010-03-05T11:54:00-07:00",
-          "2010-03-05T11:55:00-07:00",
-          "2010-03-05T11:56:00-07:00",
-          "2010-03-05T11:57:00-07:00",
-          "2010-03-05T11:58:00-07:00",
-          "2010-03-05T11:59:00-07:00",
-          "2010-03-05T12:00:00-07:00",
-          "2010-03-05T12:01:00-07:00",
-          "2010-03-05T12:02:00-07:00",
-          "2010-03-05T12:03:00-07:00",
-          "2010-03-05T12:04:00-07:00",
-          "2010-03-05T12:05:00-07:00",
-          "2010-03-05T12:06:00-07:00",
-          "2010-03-05T12:07:00-07:00",
-          "2010-03-05T12:08:00-07:00",
-          "2010-03-05T12:09:00-07:00",
-          "2010-03-05T12:10:00-07:00",
-          "2010-03-05T12:11:00-07:00",
-          "2010-03-05T12:12:00-07:00",
-          "2010-03-05T12:13:00-07:00",
-          "2010-03-05T12:14:00-07:00",
-          "2010-03-05T12:15:00-07:00",
-          "2010-03-05T12:16:00-07:00",
-          "2010-03-05T12:17:00-07:00",
-          "2010-03-05T12:18:00-07:00",
-          "2010-03-05T12:19:00-07:00",
-          "2010-03-05T12:20:00-07:00",
-          "2010-03-05T12:21:00-07:00",
-          "2010-03-05T12:22:00-07:00",
-          "2010-03-05T12:23:00-07:00",
-          "2010-03-05T12:24:00-07:00",
-          "2010-03-05T12:25:00-07:00",
-          "2010-03-05T12:26:00-07:00",
-          "2010-03-05T12:27:00-07:00",
-          "2010-03-05T12:28:00-07:00",
-          "2010-03-05T12:29:00-07:00",
-          "2010-03-05T12:30:00-07:00",
-          "2010-03-05T12:31:00-07:00",
-          "2010-03-05T12:32:00-07:00",
-          "2010-03-05T12:33:00-07:00",
-          "2010-03-05T12:34:00-07:00",
-          "2010-03-05T12:35:00-07:00",
-          "2010-03-05T12:36:00-07:00",
-          "2010-03-05T12:37:00-07:00",
-          "2010-03-05T12:38:00-07:00",
-          "2010-03-05T12:39:00-07:00",
-          "2010-03-05T12:40:00-07:00",
-          "2010-03-05T12:41:00-07:00",
-          "2010-03-05T12:42:00-07:00",
-          "2010-03-05T12:43:00-07:00",
-          "2010-03-05T12:44:00-07:00",
-          "2010-03-05T12:45:00-07:00",
-          "2010-03-05T12:46:00-07:00",
-          "2010-03-05T12:47:00-07:00",
-          "2010-03-05T12:48:00-07:00",
-          "2010-03-05T12:49:00-07:00",
-          "2010-03-05T12:50:00-07:00",
-          "2010-03-05T12:51:00-07:00",
-          "2010-03-05T12:52:00-07:00",
-          "2010-03-05T12:53:00-07:00",
-          "2010-03-05T12:54:00-07:00",
-          "2010-03-05T12:55:00-07:00",
-          "2010-03-05T12:56:00-07:00",
-          "2010-03-05T12:57:00-07:00",
-          "2010-03-05T13:00:00-07:00",
-          "2010-03-05T13:01:00-07:00",
-          "2010-03-05T13:02:00-07:00",
-          "2010-03-05T13:03:00-07:00",
-          "2010-03-05T13:05:00-07:00",
-          "2010-03-05T13:06:00-07:00",
-          "2010-03-05T13:09:00-07:00",
-          "2010-03-05T13:11:00-07:00",
-          "2010-03-05T13:13:00-07:00",
-          "2010-03-05T13:14:00-07:00",
-          "2010-03-05T13:15:00-07:00",
-          "2010-03-05T13:16:00-07:00",
-          "2010-03-05T13:17:00-07:00",
-          "2010-03-05T13:18:00-07:00",
-          "2010-03-05T13:20:00-07:00",
-          "2010-03-05T13:21:00-07:00",
-          "2010-03-05T13:24:00-07:00",
-          "2010-03-05T13:28:00-07:00",
-          "2010-03-05T13:29:00-07:00",
-          "2010-03-05T13:33:00-07:00",
-          "2010-03-05T13:36:00-07:00",
-          "2010-03-05T13:37:00-07:00",
-          "2010-03-05T13:39:00-07:00",
-          "2010-03-05T13:40:00-07:00",
-          "2010-03-05T13:41:00-07:00",
-          "2010-03-05T13:42:00-07:00",
-          "2010-03-05T13:43:00-07:00",
-          "2010-03-05T13:44:00-07:00",
-          "2010-03-05T13:45:00-07:00",
-          "2010-03-05T13:46:00-07:00",
-          "2010-03-05T13:47:00-07:00",
-          "2010-03-05T13:48:00-07:00",
-          "2010-03-05T13:49:00-07:00",
-          "2010-03-05T13:50:00-07:00",
-          "2010-03-05T13:51:00-07:00",
-          "2010-03-05T13:52:00-07:00",
-          "2010-03-05T13:53:00-07:00",
-          "2010-03-05T13:54:00-07:00",
-          "2010-03-05T13:55:00-07:00",
-          "2010-03-05T13:56:00-07:00",
-          "2010-03-05T13:57:00-07:00",
-          "2010-03-05T13:58:00-07:00",
-          "2010-03-05T13:59:00-07:00",
-          "2010-03-05T14:00:00-07:00",
-          "2010-03-05T14:01:00-07:00",
-          "2010-03-05T14:02:00-07:00",
-          "2010-03-05T14:03:00-07:00",
-          "2010-03-05T14:04:00-07:00",
-          "2010-03-05T14:05:00-07:00",
-          "2010-03-05T14:06:00-07:00",
-          "2010-03-05T14:07:00-07:00",
-          "2010-03-05T14:08:00-07:00",
-          "2010-03-05T14:09:00-07:00",
-          "2010-03-05T14:10:00-07:00",
-          "2010-03-05T14:11:00-07:00",
-          "2010-03-05T14:12:00-07:00",
-          "2010-03-05T14:13:00-07:00",
-          "2010-03-05T14:14:00-07:00",
-          "2010-03-05T14:15:00-07:00",
-          "2010-03-05T14:16:00-07:00",
-          "2010-03-05T14:17:00-07:00",
-          "2010-03-05T14:18:00-07:00",
-          "2010-03-05T14:19:00-07:00",
-          "2010-03-05T14:20:00-07:00",
-          "2010-03-05T14:21:00-07:00",
-          "2010-03-05T14:22:00-07:00",
-          "2010-03-05T14:23:00-07:00",
-          "2010-03-05T14:24:00-07:00",
-          "2010-03-05T14:25:00-07:00",
-          "2010-03-05T14:26:00-07:00",
-          "2010-03-05T14:27:00-07:00",
-          "2010-03-05T14:29:00-07:00",
-          "2010-03-05T14:31:00-07:00",
-          "2010-03-05T14:33:00-07:00",
-          "2010-03-05T14:35:00-07:00",
-          "2010-03-05T14:36:00-07:00",
-          "2010-03-05T14:37:00-07:00",
-          "2010-03-05T14:38:00-07:00",
-          "2010-03-05T14:39:00-07:00",
-          "2010-03-05T14:41:00-07:00",
-          "2010-03-05T14:42:00-07:00",
-          "2010-03-05T14:43:00-07:00",
-          "2010-03-05T14:44:00-07:00",
-          "2010-03-05T14:45:00-07:00",
-          "2010-03-05T14:46:00-07:00",
-          "2010-03-05T14:47:00-07:00",
-          "2010-03-05T14:48:00-07:00",
-          "2010-03-05T14:49:00-07:00",
-          "2010-03-05T14:50:00-07:00",
-          "2010-03-05T14:51:00-07:00",
-          "2010-03-05T14:52:00-07:00",
-          "2010-03-05T14:53:00-07:00",
-          "2010-03-05T14:54:00-07:00",
-          "2010-03-05T14:55:00-07:00",
-          "2010-03-05T14:56:00-07:00",
-          "2010-03-05T14:57:00-07:00",
-          "2010-03-05T14:58:00-07:00",
-          "2010-03-05T14:59:00-07:00",
-          "2010-03-05T15:00:00-07:00",
-          "2010-03-05T15:01:00-07:00",
-          "2010-03-05T15:02:00-07:00",
-          "2010-03-05T15:03:00-07:00",
-          "2010-03-05T15:04:00-07:00",
-          "2010-03-05T15:05:00-07:00",
-          "2010-03-05T15:06:00-07:00",
-          "2010-03-05T15:07:00-07:00",
-          "2010-03-05T15:08:00-07:00",
-          "2010-03-05T15:09:00-07:00",
-          "2010-03-05T15:10:00-07:00",
-          "2010-03-05T15:11:00-07:00",
-          "2010-03-05T15:12:00-07:00",
-          "2010-03-05T15:13:00-07:00",
-          "2010-03-05T15:14:00-07:00",
-          "2010-03-05T15:15:00-07:00",
-          "2010-03-05T15:16:00-07:00",
-          "2010-03-05T15:17:00-07:00",
-          "2010-03-05T15:18:00-07:00",
-          "2010-03-05T15:19:00-07:00",
-          "2010-03-05T15:20:00-07:00",
-          "2010-03-05T15:21:00-07:00",
-          "2010-03-05T15:22:00-07:00",
-          "2010-03-05T15:23:00-07:00",
-          "2010-03-05T15:24:00-07:00",
-          "2010-03-05T15:25:00-07:00",
-          "2010-03-05T15:26:00-07:00",
-          "2010-03-05T15:27:00-07:00",
-          "2010-03-05T15:28:00-07:00",
-          "2010-03-05T15:29:00-07:00",
-          "2010-03-05T15:30:00-07:00",
-          "2010-03-05T15:31:00-07:00",
-          "2010-03-05T15:32:00-07:00",
-          "2010-03-05T15:33:00-07:00",
-          "2010-03-05T15:34:00-07:00",
-          "2010-03-05T15:35:00-07:00",
-          "2010-03-05T15:36:00-07:00",
-          "2010-03-05T15:37:00-07:00",
-          "2010-03-05T15:38:00-07:00",
-          "2010-03-05T15:39:00-07:00",
-          "2010-03-05T15:40:00-07:00",
-          "2010-03-05T15:41:00-07:00",
-          "2010-03-05T15:42:00-07:00",
-          "2010-03-05T15:43:00-07:00",
-          "2010-03-05T15:44:00-07:00",
-          "2010-03-05T15:45:00-07:00",
-          "2010-03-05T15:46:00-07:00",
-          "2010-03-05T15:47:00-07:00",
-          "2010-03-05T15:48:00-07:00",
-          "2010-03-05T15:49:00-07:00",
-          "2010-03-05T15:50:00-07:00",
-          "2010-03-05T15:51:00-07:00",
-          "2010-03-05T15:52:00-07:00",
-          "2010-03-05T15:53:00-07:00",
-          "2010-03-05T15:54:00-07:00",
-          "2010-03-05T15:55:00-07:00",
-          "2010-03-05T15:56:00-07:00",
-          "2010-03-05T15:57:00-07:00",
-          "2010-03-05T15:58:00-07:00",
-          "2010-03-05T15:59:00-07:00",
-          "2010-03-05T16:00:00-07:00",
-          "2010-03-05T16:01:00-07:00",
-          "2010-03-05T16:02:00-07:00",
-          "2010-03-05T16:03:00-07:00",
-          "2010-03-05T16:04:00-07:00",
-          "2010-03-05T16:05:00-07:00",
-          "2010-03-05T16:06:00-07:00",
-          "2010-03-05T16:07:00-07:00",
-          "2010-03-05T16:08:00-07:00",
-          "2010-03-05T16:09:00-07:00",
-          "2010-03-05T16:10:00-07:00",
-          "2010-03-05T16:11:00-07:00",
-          "2010-03-05T16:12:00-07:00",
-          "2010-03-05T16:13:00-07:00",
-          "2010-03-05T16:14:00-07:00",
-          "2010-03-05T16:15:00-07:00",
-          "2010-03-05T16:16:00-07:00",
-          "2010-03-05T16:17:00-07:00",
-          "2010-03-05T16:18:00-07:00",
-          "2010-03-05T16:19:00-07:00",
-          "2010-03-05T16:20:00-07:00",
-          "2010-03-05T16:21:00-07:00",
-          "2010-03-05T16:22:00-07:00",
-          "2010-03-05T16:23:00-07:00",
-          "2010-03-05T16:24:00-07:00",
-          "2010-03-05T16:25:00-07:00",
-          "2010-03-05T16:26:00-07:00",
-          "2010-03-05T16:27:00-07:00",
-          "2010-03-05T16:28:00-07:00",
-          "2010-03-05T16:29:00-07:00",
-          "2010-03-05T16:30:00-07:00",
-          "2010-03-05T16:31:00-07:00",
-          "2010-03-05T16:32:00-07:00",
-          "2010-03-05T16:33:00-07:00",
-          "2010-03-05T16:34:00-07:00",
-          "2010-03-05T16:35:00-07:00",
-          "2010-03-05T16:36:00-07:00",
-          "2010-03-05T16:37:00-07:00",
-          "2010-03-05T16:38:00-07:00",
-          "2010-03-05T16:39:00-07:00",
-          "2010-03-05T16:40:00-07:00",
-          "2010-03-05T16:41:00-07:00",
-          "2010-03-05T16:42:00-07:00",
-          "2010-03-05T16:43:00-07:00",
-          "2010-03-05T16:44:00-07:00",
-          "2010-03-05T16:45:00-07:00",
-          "2010-03-05T16:46:00-07:00",
-          "2010-03-05T16:47:00-07:00",
-          "2010-03-05T16:48:00-07:00",
-          "2010-03-05T16:49:00-07:00",
-          "2010-03-05T16:50:00-07:00",
-          "2010-03-05T16:51:00-07:00",
-          "2010-03-05T16:52:00-07:00",
-          "2010-03-05T16:53:00-07:00",
-          "2010-03-05T16:54:00-07:00",
-          "2010-03-05T16:55:00-07:00",
-          "2010-03-05T16:56:00-07:00",
-          "2010-03-05T16:57:00-07:00",
-          "2010-03-05T16:58:00-07:00",
-          "2010-03-05T16:59:00-07:00",
-          "2010-03-05T17:00:00-07:00",
-          "2010-03-05T17:01:00-07:00",
-          "2010-03-05T17:02:00-07:00",
-          "2010-03-05T17:03:00-07:00",
-          "2010-03-05T17:04:00-07:00",
-          "2010-03-05T17:05:00-07:00",
-          "2010-03-05T17:06:00-07:00",
-          "2010-03-05T17:07:00-07:00",
-          "2010-03-05T17:08:00-07:00",
-          "2010-03-05T17:09:00-07:00",
-          "2010-03-05T17:10:00-07:00",
-          "2010-03-05T17:11:00-07:00",
-          "2010-03-05T17:12:00-07:00",
-          "2010-03-05T17:13:00-07:00",
-          "2010-03-05T17:14:00-07:00",
-          "2010-03-05T17:15:00-07:00",
-          "2010-03-05T17:16:00-07:00",
-          "2010-03-05T17:17:00-07:00",
-          "2010-03-05T17:18:00-07:00",
-          "2010-03-05T17:19:00-07:00",
-          "2010-03-05T17:20:00-07:00",
-          "2010-03-05T17:21:00-07:00",
-          "2010-03-05T17:22:00-07:00",
-          "2010-03-05T17:23:00-07:00",
-          "2010-03-05T17:24:00-07:00",
-          "2010-03-05T17:25:00-07:00",
-          "2010-03-05T17:26:00-07:00",
-          "2010-03-05T17:27:00-07:00",
-          "2010-03-05T17:28:00-07:00",
-          "2010-03-05T17:29:00-07:00",
-          "2010-03-05T17:30:00-07:00",
-          "2010-03-05T17:31:00-07:00",
-          "2010-03-05T17:32:00-07:00",
-          "2010-03-05T17:33:00-07:00",
-          "2010-03-05T17:34:00-07:00",
-          "2010-03-05T17:35:00-07:00",
-          "2010-03-05T17:36:00-07:00",
-          "2010-03-05T17:37:00-07:00",
-          "2010-03-05T17:38:00-07:00",
-          "2010-03-05T17:39:00-07:00",
-          "2010-03-05T17:40:00-07:00",
-          "2010-03-05T17:41:00-07:00",
-          "2010-03-05T17:42:00-07:00",
-          "2010-03-05T17:43:00-07:00",
-          "2010-03-05T17:44:00-07:00",
-          "2010-03-05T17:45:00-07:00",
-          "2010-03-05T17:46:00-07:00",
-          "2010-03-05T17:47:00-07:00",
-          "2010-03-05T17:48:00-07:00",
-          "2010-03-06T06:31:00-07:00",
-          "2010-03-06T06:32:00-07:00",
-          "2010-03-06T06:33:00-07:00",
-          "2010-03-06T06:34:00-07:00",
-          "2010-03-06T06:35:00-07:00",
-          "2010-03-06T06:36:00-07:00",
-          "2010-03-06T06:37:00-07:00",
-          "2010-03-06T06:38:00-07:00",
-          "2010-03-06T06:39:00-07:00",
-          "2010-03-06T06:40:00-07:00",
-          "2010-03-06T06:41:00-07:00",
-          "2010-03-06T06:42:00-07:00",
-          "2010-03-06T06:43:00-07:00",
-          "2010-03-06T06:44:00-07:00",
-          "2010-03-06T06:45:00-07:00",
-          "2010-03-06T06:46:00-07:00",
-          "2010-03-06T06:47:00-07:00",
-          "2010-03-06T06:48:00-07:00",
-          "2010-03-06T06:49:00-07:00",
-          "2010-03-06T06:50:00-07:00",
-          "2010-03-06T06:51:00-07:00",
-          "2010-03-06T06:52:00-07:00",
-          "2010-03-06T06:53:00-07:00",
-          "2010-03-06T06:54:00-07:00",
-          "2010-03-06T06:55:00-07:00",
-          "2010-03-06T06:56:00-07:00",
-          "2010-03-06T06:57:00-07:00",
-          "2010-03-06T06:58:00-07:00",
-          "2010-03-06T06:59:00-07:00",
-          "2010-03-06T07:00:00-07:00",
-          "2010-03-06T07:01:00-07:00",
-          "2010-03-06T07:02:00-07:00",
-          "2010-03-06T07:03:00-07:00",
-          "2010-03-06T07:04:00-07:00",
-          "2010-03-06T07:05:00-07:00",
-          "2010-03-06T07:06:00-07:00",
-          "2010-03-06T07:07:00-07:00",
-          "2010-03-06T07:08:00-07:00",
-          "2010-03-06T07:09:00-07:00",
-          "2010-03-06T07:10:00-07:00",
-          "2010-03-06T07:11:00-07:00",
-          "2010-03-06T07:12:00-07:00",
-          "2010-03-06T07:13:00-07:00",
-          "2010-03-06T07:14:00-07:00",
-          "2010-03-06T07:15:00-07:00",
-          "2010-03-06T07:16:00-07:00",
-          "2010-03-06T07:17:00-07:00",
-          "2010-03-06T07:18:00-07:00",
-          "2010-03-06T07:19:00-07:00",
-          "2010-03-06T07:20:00-07:00",
-          "2010-03-06T07:21:00-07:00",
-          "2010-03-06T07:22:00-07:00",
-          "2010-03-06T07:23:00-07:00",
-          "2010-03-06T07:24:00-07:00",
-          "2010-03-06T07:25:00-07:00",
-          "2010-03-06T07:26:00-07:00",
-          "2010-03-06T07:27:00-07:00",
-          "2010-03-06T07:28:00-07:00",
-          "2010-03-06T07:29:00-07:00",
-          "2010-03-06T07:30:00-07:00",
-          "2010-03-06T07:31:00-07:00",
-          "2010-03-06T07:32:00-07:00",
-          "2010-03-06T07:33:00-07:00",
-          "2010-03-06T07:34:00-07:00",
-          "2010-03-06T07:35:00-07:00",
-          "2010-03-06T07:36:00-07:00",
-          "2010-03-06T07:37:00-07:00",
-          "2010-03-06T07:38:00-07:00",
-          "2010-03-06T07:39:00-07:00",
-          "2010-03-06T07:40:00-07:00",
-          "2010-03-06T07:41:00-07:00",
-          "2010-03-06T07:42:00-07:00",
-          "2010-03-06T07:43:00-07:00",
-          "2010-03-06T07:44:00-07:00",
-          "2010-03-06T07:45:00-07:00",
-          "2010-03-06T07:46:00-07:00",
-          "2010-03-06T07:47:00-07:00",
-          "2010-03-06T07:48:00-07:00",
-          "2010-03-06T07:49:00-07:00",
-          "2010-03-06T07:50:00-07:00",
-          "2010-03-06T07:51:00-07:00",
-          "2010-03-06T07:52:00-07:00",
-          "2010-03-06T07:53:00-07:00",
-          "2010-03-06T07:54:00-07:00",
-          "2010-03-06T07:55:00-07:00",
-          "2010-03-06T07:56:00-07:00",
-          "2010-03-06T07:57:00-07:00",
-          "2010-03-06T07:58:00-07:00",
-          "2010-03-06T07:59:00-07:00",
-          "2010-03-06T08:00:00-07:00",
-          "2010-03-06T08:01:00-07:00",
-          "2010-03-06T08:02:00-07:00",
-          "2010-03-06T08:03:00-07:00",
-          "2010-03-06T08:04:00-07:00",
-          "2010-03-06T08:05:00-07:00",
-          "2010-03-06T08:06:00-07:00",
-          "2010-03-06T08:07:00-07:00",
-          "2010-03-06T08:08:00-07:00",
-          "2010-03-06T08:09:00-07:00",
-          "2010-03-06T08:10:00-07:00",
-          "2010-03-06T08:11:00-07:00",
-          "2010-03-06T08:12:00-07:00",
-          "2010-03-06T08:13:00-07:00",
-          "2010-03-06T08:14:00-07:00",
-          "2010-03-06T08:15:00-07:00",
-          "2010-03-06T08:16:00-07:00",
-          "2010-03-06T08:17:00-07:00",
-          "2010-03-06T08:18:00-07:00",
-          "2010-03-06T08:19:00-07:00",
-          "2010-03-06T08:20:00-07:00",
-          "2010-03-06T08:21:00-07:00",
-          "2010-03-06T08:22:00-07:00",
-          "2010-03-06T08:23:00-07:00",
-          "2010-03-06T08:24:00-07:00",
-          "2010-03-06T08:25:00-07:00",
-          "2010-03-06T08:26:00-07:00",
-          "2010-03-06T08:27:00-07:00",
-          "2010-03-06T08:28:00-07:00",
-          "2010-03-06T08:29:00-07:00",
-          "2010-03-06T08:30:00-07:00",
-          "2010-03-06T08:31:00-07:00",
-          "2010-03-06T08:32:00-07:00",
-          "2010-03-06T08:33:00-07:00",
-          "2010-03-06T08:34:00-07:00",
-          "2010-03-06T08:35:00-07:00",
-          "2010-03-06T08:36:00-07:00",
-          "2010-03-06T08:37:00-07:00",
-          "2010-03-06T08:38:00-07:00",
-          "2010-03-06T08:39:00-07:00",
-          "2010-03-06T08:40:00-07:00",
-          "2010-03-06T08:41:00-07:00",
-          "2010-03-06T08:42:00-07:00",
-          "2010-03-06T08:43:00-07:00",
-          "2010-03-06T08:44:00-07:00",
-          "2010-03-06T08:45:00-07:00",
-          "2010-03-06T08:46:00-07:00",
-          "2010-03-06T08:47:00-07:00",
-          "2010-03-06T08:48:00-07:00",
-          "2010-03-06T08:49:00-07:00",
-          "2010-03-06T08:50:00-07:00",
-          "2010-03-06T08:51:00-07:00",
-          "2010-03-06T08:52:00-07:00",
-          "2010-03-06T08:53:00-07:00",
-          "2010-03-06T08:54:00-07:00",
-          "2010-03-06T08:55:00-07:00",
-          "2010-03-06T08:56:00-07:00",
-          "2010-03-06T08:57:00-07:00",
-          "2010-03-06T08:58:00-07:00",
-          "2010-03-06T08:59:00-07:00",
-          "2010-03-06T09:00:00-07:00",
-          "2010-03-06T09:01:00-07:00",
-          "2010-03-06T09:02:00-07:00",
-          "2010-03-06T09:03:00-07:00",
-          "2010-03-06T09:04:00-07:00",
-          "2010-03-06T09:05:00-07:00",
-          "2010-03-06T09:06:00-07:00",
-          "2010-03-06T09:07:00-07:00",
-          "2010-03-06T09:08:00-07:00",
-          "2010-03-06T09:09:00-07:00",
-          "2010-03-06T09:10:00-07:00",
-          "2010-03-06T09:11:00-07:00",
-          "2010-03-06T09:12:00-07:00",
-          "2010-03-06T09:13:00-07:00",
-          "2010-03-06T09:14:00-07:00",
-          "2010-03-06T09:15:00-07:00",
-          "2010-03-06T09:16:00-07:00",
-          "2010-03-06T09:17:00-07:00",
-          "2010-03-06T09:18:00-07:00",
-          "2010-03-06T09:19:00-07:00",
-          "2010-03-06T09:20:00-07:00",
-          "2010-03-06T09:21:00-07:00",
-          "2010-03-06T09:22:00-07:00",
-          "2010-03-06T09:23:00-07:00",
-          "2010-03-06T09:24:00-07:00",
-          "2010-03-06T09:25:00-07:00",
-          "2010-03-06T09:26:00-07:00",
-          "2010-03-06T09:27:00-07:00",
-          "2010-03-06T09:28:00-07:00",
-          "2010-03-06T09:29:00-07:00",
-          "2010-03-06T09:30:00-07:00",
-          "2010-03-06T09:31:00-07:00",
-          "2010-03-06T09:32:00-07:00",
-          "2010-03-06T09:33:00-07:00",
-          "2010-03-06T09:34:00-07:00",
-          "2010-03-06T09:35:00-07:00",
-          "2010-03-06T09:36:00-07:00",
-          "2010-03-06T09:37:00-07:00",
-          "2010-03-06T09:38:00-07:00",
-          "2010-03-06T09:39:00-07:00",
-          "2010-03-06T09:40:00-07:00",
-          "2010-03-06T09:41:00-07:00",
-          "2010-03-06T09:42:00-07:00",
-          "2010-03-06T09:43:00-07:00",
-          "2010-03-06T09:44:00-07:00",
-          "2010-03-06T09:45:00-07:00",
-          "2010-03-06T09:46:00-07:00",
-          "2010-03-06T09:47:00-07:00",
-          "2010-03-06T09:48:00-07:00",
-          "2010-03-06T09:49:00-07:00",
-          "2010-03-06T09:50:00-07:00",
-          "2010-03-06T09:51:00-07:00",
-          "2010-03-06T09:52:00-07:00",
-          "2010-03-06T09:53:00-07:00",
-          "2010-03-06T09:54:00-07:00",
-          "2010-03-06T09:55:00-07:00",
-          "2010-03-06T09:56:00-07:00",
-          "2010-03-06T09:57:00-07:00",
-          "2010-03-06T09:58:00-07:00",
-          "2010-03-06T09:59:00-07:00",
-          "2010-03-06T13:31:00-07:00",
-          "2010-03-06T13:32:00-07:00",
-          "2010-03-06T13:33:00-07:00",
-          "2010-03-06T13:34:00-07:00",
-          "2010-03-06T13:35:00-07:00",
-          "2010-03-06T13:36:00-07:00",
-          "2010-03-06T13:37:00-07:00",
-          "2010-03-06T13:38:00-07:00",
-          "2010-03-06T13:39:00-07:00",
-          "2010-03-06T13:40:00-07:00",
-          "2010-03-06T13:41:00-07:00",
-          "2010-03-06T13:42:00-07:00",
-          "2010-03-06T13:43:00-07:00",
-          "2010-03-06T13:44:00-07:00",
-          "2010-03-06T13:45:00-07:00",
-          "2010-03-06T13:46:00-07:00",
-          "2010-03-06T13:47:00-07:00",
-          "2010-03-06T13:48:00-07:00",
-          "2010-03-06T13:49:00-07:00",
-          "2010-03-06T13:50:00-07:00",
-          "2010-03-06T13:51:00-07:00",
-          "2010-03-06T13:52:00-07:00",
-          "2010-03-06T13:53:00-07:00",
-          "2010-03-06T13:54:00-07:00",
-          "2010-03-06T13:55:00-07:00",
-          "2010-03-06T13:56:00-07:00",
-          "2010-03-06T13:57:00-07:00",
-          "2010-03-06T13:58:00-07:00",
-          "2010-03-06T13:59:00-07:00",
-          "2010-03-06T14:00:00-07:00",
-          "2010-03-06T14:01:00-07:00",
-          "2010-03-06T14:02:00-07:00",
-          "2010-03-06T14:03:00-07:00",
-          "2010-03-06T14:04:00-07:00",
-          "2010-03-06T14:05:00-07:00",
-          "2010-03-06T14:06:00-07:00",
-          "2010-03-06T14:07:00-07:00",
-          "2010-03-06T14:08:00-07:00",
-          "2010-03-06T14:09:00-07:00",
-          "2010-03-06T14:10:00-07:00",
-          "2010-03-06T14:11:00-07:00",
-          "2010-03-06T14:12:00-07:00",
-          "2010-03-06T14:13:00-07:00",
-          "2010-03-06T14:14:00-07:00",
-          "2010-03-06T14:15:00-07:00",
-          "2010-03-06T14:16:00-07:00",
-          "2010-03-06T14:17:00-07:00",
-          "2010-03-06T14:18:00-07:00",
-          "2010-03-06T14:19:00-07:00",
-          "2010-03-06T14:20:00-07:00",
-          "2010-03-06T14:21:00-07:00",
-          "2010-03-06T14:22:00-07:00",
-          "2010-03-06T14:23:00-07:00",
-          "2010-03-06T14:24:00-07:00",
-          "2010-03-06T14:25:00-07:00",
-          "2010-03-06T14:26:00-07:00",
-          "2010-03-06T14:27:00-07:00",
-          "2010-03-06T14:28:00-07:00",
-          "2010-03-06T14:29:00-07:00",
-          "2010-03-06T14:30:00-07:00",
-          "2010-03-06T14:31:00-07:00",
-          "2010-03-06T14:32:00-07:00",
-          "2010-03-06T14:33:00-07:00",
-          "2010-03-06T14:34:00-07:00",
-          "2010-03-06T14:35:00-07:00",
-          "2010-03-06T14:36:00-07:00",
-          "2010-03-06T14:37:00-07:00",
-          "2010-03-06T14:38:00-07:00",
-          "2010-03-06T14:39:00-07:00",
-          "2010-03-06T14:40:00-07:00",
-          "2010-03-06T14:41:00-07:00",
-          "2010-03-06T14:42:00-07:00",
-          "2010-03-06T14:43:00-07:00",
-          "2010-03-06T14:44:00-07:00",
-          "2010-03-06T14:45:00-07:00",
-          "2010-03-06T14:46:00-07:00",
-          "2010-03-06T14:47:00-07:00",
-          "2010-03-06T14:48:00-07:00",
-          "2010-03-06T14:49:00-07:00",
-          "2010-03-06T14:50:00-07:00",
-          "2010-03-06T14:51:00-07:00",
-          "2010-03-06T14:52:00-07:00",
-          "2010-03-06T14:53:00-07:00",
-          "2010-03-06T14:54:00-07:00",
-          "2010-03-06T14:55:00-07:00",
-          "2010-03-06T14:56:00-07:00",
-          "2010-03-06T14:57:00-07:00",
-          "2010-03-06T14:58:00-07:00",
-          "2010-03-06T14:59:00-07:00",
-          "2010-03-06T15:00:00-07:00",
-          "2010-03-06T15:01:00-07:00",
-          "2010-03-06T15:02:00-07:00",
-          "2010-03-06T15:03:00-07:00",
-          "2010-03-06T15:04:00-07:00",
-          "2010-03-06T15:05:00-07:00",
-          "2010-03-06T15:06:00-07:00",
-          "2010-03-06T15:07:00-07:00",
-          "2010-03-06T15:08:00-07:00",
-          "2010-03-06T15:09:00-07:00",
-          "2010-03-06T15:10:00-07:00",
-          "2010-03-06T15:11:00-07:00",
-          "2010-03-06T15:12:00-07:00",
-          "2010-03-06T15:13:00-07:00",
-          "2010-03-06T15:14:00-07:00",
-          "2010-03-06T15:15:00-07:00",
-          "2010-03-06T15:16:00-07:00",
-          "2010-03-06T15:17:00-07:00",
-          "2010-03-06T15:18:00-07:00",
-          "2010-03-06T15:19:00-07:00",
-          "2010-03-06T15:20:00-07:00",
-          "2010-03-06T15:21:00-07:00",
-          "2010-03-06T15:22:00-07:00",
-          "2010-03-06T15:23:00-07:00",
-          "2010-03-06T15:24:00-07:00",
-          "2010-03-06T15:25:00-07:00",
-          "2010-03-06T15:26:00-07:00",
-          "2010-03-06T15:27:00-07:00",
-          "2010-03-06T15:28:00-07:00",
-          "2010-03-06T15:29:00-07:00",
-          "2010-03-06T15:30:00-07:00",
-          "2010-03-06T15:31:00-07:00",
-          "2010-03-06T15:32:00-07:00",
-          "2010-03-06T15:33:00-07:00",
-          "2010-03-06T15:34:00-07:00",
-          "2010-03-06T15:35:00-07:00",
-          "2010-03-06T15:36:00-07:00",
-          "2010-03-06T15:37:00-07:00",
-          "2010-03-06T15:38:00-07:00",
-          "2010-03-06T15:39:00-07:00",
-          "2010-03-06T15:40:00-07:00",
-          "2010-03-06T15:41:00-07:00",
-          "2010-03-06T15:42:00-07:00",
-          "2010-03-06T15:43:00-07:00",
-          "2010-03-06T15:44:00-07:00",
-          "2010-03-06T15:45:00-07:00",
-          "2010-03-06T15:46:00-07:00",
-          "2010-03-06T15:47:00-07:00",
-          "2010-03-06T15:48:00-07:00",
-          "2010-03-06T15:49:00-07:00",
-          "2010-03-06T15:50:00-07:00",
-          "2010-03-06T15:51:00-07:00",
-          "2010-03-06T15:52:00-07:00",
-          "2010-03-06T15:53:00-07:00",
-          "2010-03-06T15:54:00-07:00",
-          "2010-03-06T15:55:00-07:00",
-          "2010-03-06T15:56:00-07:00",
-          "2010-03-06T15:57:00-07:00",
-          "2010-03-06T15:58:00-07:00",
-          "2010-03-06T15:59:00-07:00",
-          "2010-03-06T16:00:00-07:00",
-          "2010-03-06T16:01:00-07:00",
-          "2010-03-06T16:02:00-07:00",
-          "2010-03-06T16:03:00-07:00",
-          "2010-03-06T16:04:00-07:00",
-          "2010-03-06T16:05:00-07:00",
-          "2010-03-06T16:06:00-07:00",
-          "2010-03-06T16:07:00-07:00",
-          "2010-03-06T16:08:00-07:00",
-          "2010-03-06T16:09:00-07:00",
-          "2010-03-06T16:10:00-07:00",
-          "2010-03-06T16:11:00-07:00",
-          "2010-03-06T16:12:00-07:00",
-          "2010-03-06T16:13:00-07:00",
-          "2010-03-06T16:14:00-07:00",
-          "2010-03-06T16:15:00-07:00",
-          "2010-03-06T16:16:00-07:00",
-          "2010-03-06T16:17:00-07:00",
-          "2010-03-06T16:18:00-07:00",
-          "2010-03-06T16:19:00-07:00",
-          "2010-03-06T16:20:00-07:00",
-          "2010-03-06T16:21:00-07:00",
-          "2010-03-06T16:22:00-07:00",
-          "2010-03-06T16:23:00-07:00",
-          "2010-03-06T16:24:00-07:00",
-          "2010-03-06T16:25:00-07:00",
-          "2010-03-06T16:26:00-07:00",
-          "2010-03-06T16:27:00-07:00",
-          "2010-03-06T16:28:00-07:00",
-          "2010-03-06T16:29:00-07:00",
-          "2010-03-06T16:30:00-07:00",
-          "2010-03-06T16:31:00-07:00",
-          "2010-03-06T16:32:00-07:00",
-          "2010-03-06T16:33:00-07:00",
-          "2010-03-06T16:34:00-07:00",
-          "2010-03-06T16:35:00-07:00",
-          "2010-03-06T16:36:00-07:00",
-          "2010-03-06T16:37:00-07:00",
-          "2010-03-06T16:38:00-07:00",
-          "2010-03-06T16:39:00-07:00",
-          "2010-03-06T16:40:00-07:00",
-          "2010-03-06T16:41:00-07:00",
-          "2010-03-06T16:42:00-07:00",
-          "2010-03-06T16:43:00-07:00",
-          "2010-03-06T16:44:00-07:00",
-          "2010-03-06T16:45:00-07:00",
-          "2010-03-06T16:46:00-07:00",
-          "2010-03-06T16:47:00-07:00",
-          "2010-03-06T16:48:00-07:00",
-          "2010-03-06T16:49:00-07:00",
-          "2010-03-06T16:50:00-07:00",
-          "2010-03-06T16:51:00-07:00",
-          "2010-03-06T16:52:00-07:00",
-          "2010-03-06T16:53:00-07:00",
-          "2010-03-06T16:54:00-07:00",
-          "2010-03-06T16:55:00-07:00",
-          "2010-03-06T16:56:00-07:00",
-          "2010-03-06T16:57:00-07:00",
-          "2010-03-06T16:58:00-07:00",
-          "2010-03-06T16:59:00-07:00",
-          "2010-03-06T17:00:00-07:00",
-          "2010-03-06T17:01:00-07:00",
-          "2010-03-06T17:02:00-07:00",
-          "2010-03-06T17:03:00-07:00",
-          "2010-03-06T17:04:00-07:00",
-          "2010-03-06T17:05:00-07:00",
-          "2010-03-06T17:06:00-07:00",
-          "2010-03-06T17:07:00-07:00",
-          "2010-03-06T17:08:00-07:00",
-          "2010-03-06T17:09:00-07:00",
-          "2010-03-06T17:10:00-07:00",
-          "2010-03-06T17:11:00-07:00",
-          "2010-03-06T17:12:00-07:00",
-          "2010-03-06T17:13:00-07:00",
-          "2010-03-06T17:14:00-07:00",
-          "2010-03-06T17:15:00-07:00",
-          "2010-03-06T17:16:00-07:00",
-          "2010-03-06T17:17:00-07:00",
-          "2010-03-06T17:18:00-07:00",
-          "2010-03-06T17:19:00-07:00",
-          "2010-03-06T17:20:00-07:00",
-          "2010-03-06T17:21:00-07:00",
-          "2010-03-06T17:22:00-07:00",
-          "2010-03-06T17:23:00-07:00",
-          "2010-03-06T17:24:00-07:00",
-          "2010-03-06T17:25:00-07:00",
-          "2010-03-06T17:26:00-07:00",
-          "2010-03-06T17:27:00-07:00",
-          "2010-03-06T17:28:00-07:00",
-          "2010-03-06T17:29:00-07:00",
-          "2010-03-06T17:30:00-07:00",
-          "2010-03-06T17:31:00-07:00",
-          "2010-03-06T17:32:00-07:00",
-          "2010-03-06T17:33:00-07:00",
-          "2010-03-06T17:34:00-07:00",
-          "2010-03-06T17:35:00-07:00",
-          "2010-03-06T17:36:00-07:00",
-          "2010-03-06T17:37:00-07:00",
-          "2010-03-06T17:38:00-07:00",
-          "2010-03-06T17:39:00-07:00",
-          "2010-03-06T17:40:00-07:00",
-          "2010-03-06T17:41:00-07:00",
-          "2010-03-06T17:42:00-07:00",
-          "2010-03-06T17:43:00-07:00",
-          "2010-03-07T06:34:00-07:00",
-          "2010-03-07T06:35:00-07:00",
-          "2010-03-07T06:36:00-07:00",
-          "2010-03-07T06:37:00-07:00",
-          "2010-03-07T06:38:00-07:00",
-          "2010-03-07T06:39:00-07:00",
-          "2010-03-07T06:40:00-07:00",
-          "2010-03-07T06:41:00-07:00",
-          "2010-03-07T06:42:00-07:00",
-          "2010-03-07T06:43:00-07:00",
-          "2010-03-07T06:44:00-07:00",
-          "2010-03-07T06:45:00-07:00",
-          "2010-03-07T06:46:00-07:00",
-          "2010-03-07T06:47:00-07:00",
-          "2010-03-07T06:48:00-07:00",
-          "2010-03-07T06:49:00-07:00",
-          "2010-03-07T06:50:00-07:00",
-          "2010-03-07T06:51:00-07:00",
-          "2010-03-07T06:52:00-07:00",
-          "2010-03-07T06:53:00-07:00",
-          "2010-03-07T06:54:00-07:00",
-          "2010-03-07T06:55:00-07:00",
-          "2010-03-07T06:56:00-07:00",
-          "2010-03-07T06:57:00-07:00",
-          "2010-03-07T06:58:00-07:00",
-          "2010-03-07T06:59:00-07:00",
-          "2010-03-07T07:00:00-07:00",
-          "2010-03-07T07:01:00-07:00",
-          "2010-03-07T07:02:00-07:00",
-          "2010-03-07T07:03:00-07:00",
-          "2010-03-07T07:04:00-07:00",
-          "2010-03-07T07:05:00-07:00",
-          "2010-03-07T07:06:00-07:00",
-          "2010-03-07T07:07:00-07:00",
-          "2010-03-07T07:08:00-07:00",
-          "2010-03-07T07:09:00-07:00",
-          "2010-03-07T07:10:00-07:00",
-          "2010-03-07T07:11:00-07:00",
-          "2010-03-07T07:12:00-07:00",
-          "2010-03-07T07:13:00-07:00",
-          "2010-03-07T07:14:00-07:00",
-          "2010-03-07T07:15:00-07:00",
-          "2010-03-07T07:16:00-07:00",
-          "2010-03-07T07:17:00-07:00",
-          "2010-03-07T07:18:00-07:00",
-          "2010-03-07T07:19:00-07:00",
-          "2010-03-07T07:20:00-07:00",
-          "2010-03-07T07:21:00-07:00",
-          "2010-03-07T07:22:00-07:00",
-          "2010-03-07T07:23:00-07:00",
-          "2010-03-07T07:24:00-07:00",
-          "2010-03-07T07:25:00-07:00",
-          "2010-03-07T07:26:00-07:00",
-          "2010-03-07T07:27:00-07:00",
-          "2010-03-07T07:28:00-07:00",
-          "2010-03-07T07:29:00-07:00",
-          "2010-03-07T07:30:00-07:00",
-          "2010-03-07T07:31:00-07:00",
-          "2010-03-07T07:32:00-07:00",
-          "2010-03-07T07:33:00-07:00",
-          "2010-03-07T07:34:00-07:00",
-          "2010-03-07T07:35:00-07:00",
-          "2010-03-07T07:36:00-07:00",
-          "2010-03-07T07:37:00-07:00",
-          "2010-03-07T07:38:00-07:00",
-          "2010-03-07T07:39:00-07:00",
-          "2010-03-07T07:40:00-07:00",
-          "2010-03-07T07:41:00-07:00",
-          "2010-03-07T07:42:00-07:00",
-          "2010-03-07T07:43:00-07:00",
-          "2010-03-07T07:44:00-07:00",
-          "2010-03-07T07:45:00-07:00",
-          "2010-03-07T07:46:00-07:00",
-          "2010-03-07T07:47:00-07:00",
-          "2010-03-07T07:48:00-07:00",
-          "2010-03-07T07:49:00-07:00",
-          "2010-03-07T07:50:00-07:00",
-          "2010-03-07T07:51:00-07:00",
-          "2010-03-07T07:52:00-07:00",
-          "2010-03-07T07:53:00-07:00",
-          "2010-03-07T07:54:00-07:00",
-          "2010-03-07T07:55:00-07:00",
-          "2010-03-07T07:56:00-07:00",
-          "2010-03-07T07:57:00-07:00",
-          "2010-03-07T07:58:00-07:00",
-          "2010-03-07T07:59:00-07:00",
-          "2010-03-07T08:00:00-07:00",
-          "2010-03-07T08:01:00-07:00",
-          "2010-03-07T08:02:00-07:00",
-          "2010-03-07T08:03:00-07:00",
-          "2010-03-07T08:04:00-07:00",
-          "2010-03-07T08:05:00-07:00",
-          "2010-03-07T08:06:00-07:00",
-          "2010-03-07T08:07:00-07:00",
-          "2010-03-07T08:08:00-07:00",
-          "2010-03-07T08:09:00-07:00",
-          "2010-03-07T08:10:00-07:00",
-          "2010-03-07T08:11:00-07:00",
-          "2010-03-07T08:12:00-07:00",
-          "2010-03-07T08:13:00-07:00",
-          "2010-03-07T08:14:00-07:00",
-          "2010-03-07T08:15:00-07:00",
-          "2010-03-07T08:16:00-07:00",
-          "2010-03-07T08:17:00-07:00",
-          "2010-03-07T08:18:00-07:00",
-          "2010-03-07T08:19:00-07:00",
-          "2010-03-07T08:20:00-07:00",
-          "2010-03-07T08:21:00-07:00",
-          "2010-03-07T08:22:00-07:00",
-          "2010-03-07T08:23:00-07:00",
-          "2010-03-07T08:24:00-07:00",
-          "2010-03-07T08:25:00-07:00",
-          "2010-03-07T08:26:00-07:00",
-          "2010-03-07T08:27:00-07:00",
-          "2010-03-07T08:28:00-07:00",
-          "2010-03-07T08:29:00-07:00",
-          "2010-03-07T08:30:00-07:00",
-          "2010-03-07T08:31:00-07:00",
-          "2010-03-07T08:32:00-07:00",
-          "2010-03-07T08:33:00-07:00",
-          "2010-03-07T08:34:00-07:00",
-          "2010-03-07T08:35:00-07:00",
-          "2010-03-07T08:36:00-07:00",
-          "2010-03-07T08:37:00-07:00",
-          "2010-03-07T08:38:00-07:00",
-          "2010-03-07T08:39:00-07:00",
-          "2010-03-07T08:40:00-07:00",
-          "2010-03-07T08:41:00-07:00",
-          "2010-03-07T08:42:00-07:00",
-          "2010-03-07T08:43:00-07:00",
-          "2010-03-07T08:44:00-07:00",
-          "2010-03-07T08:45:00-07:00",
-          "2010-03-07T08:46:00-07:00",
-          "2010-03-07T08:47:00-07:00",
-          "2010-03-07T08:48:00-07:00",
-          "2010-03-07T08:49:00-07:00",
-          "2010-03-07T08:50:00-07:00",
-          "2010-03-07T08:51:00-07:00",
-          "2010-03-07T08:52:00-07:00",
-          "2010-03-07T08:53:00-07:00",
-          "2010-03-07T08:54:00-07:00",
-          "2010-03-07T08:55:00-07:00",
-          "2010-03-07T08:56:00-07:00",
-          "2010-03-07T08:57:00-07:00",
-          "2010-03-07T08:58:00-07:00",
-          "2010-03-07T08:59:00-07:00",
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-          "2010-02-25T19:18:00-07:00",
-          "2010-02-25T19:19:00-07:00",
-          "2010-02-25T19:20:00-07:00",
-          "2010-02-25T19:21:00-07:00",
-          "2010-02-25T19:22:00-07:00",
-          "2010-02-25T19:23:00-07:00",
-          "2010-02-25T19:24:00-07:00",
-          "2010-02-25T19:25:00-07:00",
-          "2010-02-25T19:26:00-07:00",
-          "2010-02-25T19:27:00-07:00",
-          "2010-02-25T19:28:00-07:00",
-          "2010-02-25T19:29:00-07:00",
-          "2010-02-25T19:30:00-07:00",
-          "2010-02-25T19:31:00-07:00",
-          "2010-02-25T19:32:00-07:00",
-          "2010-02-25T19:33:00-07:00",
-          "2010-02-25T19:34:00-07:00",
-          "2010-02-25T19:35:00-07:00",
-          "2010-02-25T19:36:00-07:00",
-          "2010-02-25T19:37:00-07:00",
-          "2010-02-25T19:38:00-07:00",
-          "2010-02-25T19:39:00-07:00",
-          "2010-02-25T19:40:00-07:00",
-          "2010-02-25T19:41:00-07:00",
-          "2010-02-25T19:42:00-07:00",
-          "2010-02-25T19:43:00-07:00",
-          "2010-02-25T19:44:00-07:00",
-          "2010-02-25T19:45:00-07:00",
-          "2010-02-25T19:46:00-07:00",
-          "2010-02-25T19:47:00-07:00",
-          "2010-02-25T19:48:00-07:00",
-          "2010-02-25T19:49:00-07:00",
-          "2010-02-25T19:50:00-07:00",
-          "2010-02-25T19:51:00-07:00",
-          "2010-02-25T19:52:00-07:00",
-          "2010-02-25T19:53:00-07:00",
-          "2010-02-25T19:54:00-07:00",
-          "2010-02-25T19:55:00-07:00",
-          "2010-02-25T19:56:00-07:00",
-          "2010-02-25T19:57:00-07:00",
-          "2010-02-25T19:58:00-07:00",
-          "2010-02-25T19:59:00-07:00",
-          "2010-02-25T20:00:00-07:00",
-          "2010-02-25T20:01:00-07:00",
-          "2010-02-25T20:02:00-07:00",
-          "2010-02-25T20:03:00-07:00",
-          "2010-02-25T20:04:00-07:00",
-          "2010-02-25T20:05:00-07:00",
-          "2010-02-25T20:06:00-07:00",
-          "2010-02-25T20:07:00-07:00",
-          "2010-02-25T20:08:00-07:00",
-          "2010-02-25T20:09:00-07:00",
-          "2010-02-25T20:10:00-07:00",
-          "2010-02-25T20:11:00-07:00",
-          "2010-02-25T20:12:00-07:00",
-          "2010-02-25T20:13:00-07:00",
-          "2010-02-25T20:14:00-07:00",
-          "2010-02-25T20:15:00-07:00",
-          "2010-02-25T20:16:00-07:00",
-          "2010-02-25T20:17:00-07:00",
-          "2010-02-25T20:18:00-07:00",
-          "2010-02-25T20:19:00-07:00",
-          "2010-02-25T20:20:00-07:00",
-          "2010-02-25T20:21:00-07:00",
-          "2010-02-25T20:22:00-07:00",
-          "2010-02-25T20:23:00-07:00",
-          "2010-02-25T20:24:00-07:00",
-          "2010-02-25T20:25:00-07:00",
-          "2010-02-25T20:26:00-07:00",
-          "2010-02-25T20:27:00-07:00",
-          "2010-02-25T20:28:00-07:00",
-          "2010-02-25T20:29:00-07:00",
-          "2010-02-25T20:30:00-07:00",
-          "2010-02-25T20:31:00-07:00",
-          "2010-02-25T20:32:00-07:00",
-          "2010-02-25T20:33:00-07:00",
-          "2010-02-25T20:34:00-07:00",
-          "2010-02-25T20:35:00-07:00",
-          "2010-02-25T20:36:00-07:00",
-          "2010-02-25T20:37:00-07:00",
-          "2010-02-25T20:38:00-07:00",
-          "2010-02-25T20:39:00-07:00",
-          "2010-02-25T20:40:00-07:00",
-          "2010-02-25T20:41:00-07:00",
-          "2010-02-25T20:42:00-07:00",
-          "2010-02-25T20:43:00-07:00",
-          "2010-02-25T20:44:00-07:00",
-          "2010-02-25T20:45:00-07:00",
-          "2010-02-25T20:46:00-07:00",
-          "2010-02-25T20:47:00-07:00",
-          "2010-02-25T20:48:00-07:00",
-          "2010-02-25T20:49:00-07:00",
-          "2010-02-25T20:50:00-07:00",
-          "2010-02-25T20:51:00-07:00",
-          "2010-02-25T20:52:00-07:00",
-          "2010-02-25T20:53:00-07:00",
-          "2010-02-25T20:54:00-07:00",
-          "2010-02-25T20:55:00-07:00",
-          "2010-02-25T20:56:00-07:00",
-          "2010-02-25T20:57:00-07:00",
-          "2010-02-25T20:58:00-07:00",
-          "2010-02-25T20:59:00-07:00",
-          "2010-02-25T21:00:00-07:00",
-          "2010-02-25T21:01:00-07:00",
-          "2010-02-25T21:02:00-07:00",
-          "2010-02-25T21:03:00-07:00",
-          "2010-02-25T21:04:00-07:00",
-          "2010-02-25T21:05:00-07:00",
-          "2010-02-25T21:06:00-07:00",
-          "2010-02-25T21:07:00-07:00",
-          "2010-02-25T21:08:00-07:00",
-          "2010-02-25T21:09:00-07:00",
-          "2010-02-25T21:10:00-07:00",
-          "2010-02-25T21:11:00-07:00",
-          "2010-02-25T21:12:00-07:00",
-          "2010-02-25T21:13:00-07:00",
-          "2010-02-25T21:14:00-07:00",
-          "2010-02-25T21:15:00-07:00",
-          "2010-02-25T21:16:00-07:00",
-          "2010-02-25T21:17:00-07:00",
-          "2010-02-25T21:18:00-07:00",
-          "2010-02-25T21:19:00-07:00",
-          "2010-02-25T21:20:00-07:00",
-          "2010-02-25T21:21:00-07:00",
-          "2010-02-25T21:22:00-07:00",
-          "2010-02-25T21:23:00-07:00",
-          "2010-02-25T21:24:00-07:00",
-          "2010-02-25T21:25:00-07:00",
-          "2010-02-25T21:26:00-07:00",
-          "2010-02-25T21:27:00-07:00",
-          "2010-02-25T21:28:00-07:00",
-          "2010-02-25T21:29:00-07:00",
-          "2010-02-25T21:30:00-07:00",
-          "2010-02-25T21:31:00-07:00",
-          "2010-02-25T21:32:00-07:00",
-          "2010-02-25T21:33:00-07:00",
-          "2010-02-25T21:34:00-07:00",
-          "2010-02-25T21:35:00-07:00",
-          "2010-02-25T21:36:00-07:00",
-          "2010-02-25T21:37:00-07:00",
-          "2010-02-25T21:38:00-07:00",
-          "2010-02-25T21:39:00-07:00",
-          "2010-02-25T21:40:00-07:00",
-          "2010-02-25T21:41:00-07:00",
-          "2010-02-25T21:42:00-07:00",
-          "2010-02-25T21:43:00-07:00",
-          "2010-02-25T21:44:00-07:00",
-          "2010-02-25T21:45:00-07:00",
-          "2010-02-25T21:46:00-07:00",
-          "2010-02-25T21:47:00-07:00",
-          "2010-02-25T21:48:00-07:00",
-          "2010-02-25T21:49:00-07:00",
-          "2010-02-25T21:50:00-07:00",
-          "2010-02-25T21:51:00-07:00",
-          "2010-02-25T21:52:00-07:00",
-          "2010-02-25T21:53:00-07:00",
-          "2010-02-25T21:54:00-07:00",
-          "2010-02-25T21:55:00-07:00",
-          "2010-02-25T21:56:00-07:00",
-          "2010-02-25T21:57:00-07:00",
-          "2010-02-25T21:58:00-07:00",
-          "2010-02-25T21:59:00-07:00",
-          "2010-02-25T22:00:00-07:00",
-          "2010-02-25T22:01:00-07:00",
-          "2010-02-25T22:02:00-07:00",
-          "2010-02-25T22:03:00-07:00",
-          "2010-02-25T22:04:00-07:00",
-          "2010-02-25T22:05:00-07:00",
-          "2010-02-25T22:06:00-07:00",
-          "2010-02-25T22:07:00-07:00",
-          "2010-02-25T22:08:00-07:00",
-          "2010-02-25T22:09:00-07:00",
-          "2010-02-25T22:10:00-07:00",
-          "2010-02-25T22:11:00-07:00",
-          "2010-02-25T22:12:00-07:00",
-          "2010-02-25T22:13:00-07:00",
-          "2010-02-25T22:14:00-07:00",
-          "2010-02-25T22:15:00-07:00",
-          "2010-02-25T22:16:00-07:00",
-          "2010-02-25T22:17:00-07:00",
-          "2010-02-25T22:18:00-07:00",
-          "2010-02-25T22:19:00-07:00",
-          "2010-02-25T22:20:00-07:00",
-          "2010-02-25T22:21:00-07:00",
-          "2010-02-25T22:22:00-07:00",
-          "2010-02-25T22:23:00-07:00",
-          "2010-02-25T22:24:00-07:00",
-          "2010-02-25T22:25:00-07:00",
-          "2010-02-25T22:26:00-07:00",
-          "2010-02-25T22:27:00-07:00",
-          "2010-02-25T22:28:00-07:00",
-          "2010-02-25T22:29:00-07:00",
-          "2010-02-25T22:30:00-07:00",
-          "2010-02-25T22:31:00-07:00",
-          "2010-02-25T22:32:00-07:00",
-          "2010-02-25T22:33:00-07:00",
-          "2010-02-25T22:34:00-07:00",
-          "2010-02-25T22:35:00-07:00",
-          "2010-02-25T22:36:00-07:00",
-          "2010-02-25T22:37:00-07:00",
-          "2010-02-25T22:38:00-07:00",
-          "2010-02-25T22:39:00-07:00",
-          "2010-02-25T22:40:00-07:00",
-          "2010-02-25T22:41:00-07:00",
-          "2010-02-25T22:42:00-07:00",
-          "2010-02-25T22:43:00-07:00",
-          "2010-02-25T22:44:00-07:00",
-          "2010-02-25T22:45:00-07:00",
-          "2010-02-25T22:46:00-07:00",
-          "2010-02-25T22:47:00-07:00",
-          "2010-02-25T22:48:00-07:00",
-          "2010-02-25T22:49:00-07:00",
-          "2010-02-25T22:50:00-07:00",
-          "2010-02-25T22:51:00-07:00",
-          "2010-02-25T22:52:00-07:00",
-          "2010-02-25T22:53:00-07:00",
-          "2010-02-25T22:54:00-07:00",
-          "2010-02-25T22:55:00-07:00",
-          "2010-02-25T22:56:00-07:00",
-          "2010-02-25T22:57:00-07:00",
-          "2010-02-25T22:58:00-07:00",
-          "2010-02-25T22:59:00-07:00",
-          "2010-02-25T23:00:00-07:00",
-          "2010-02-25T23:01:00-07:00",
-          "2010-02-25T23:02:00-07:00",
-          "2010-02-25T23:03:00-07:00",
-          "2010-02-25T23:04:00-07:00",
-          "2010-02-25T23:05:00-07:00",
-          "2010-02-25T23:06:00-07:00",
-          "2010-02-25T23:07:00-07:00",
-          "2010-02-25T23:08:00-07:00",
-          "2010-02-25T23:09:00-07:00",
-          "2010-02-25T23:10:00-07:00",
-          "2010-02-25T23:11:00-07:00",
-          "2010-02-25T23:12:00-07:00",
-          "2010-02-25T23:13:00-07:00",
-          "2010-02-25T23:14:00-07:00",
-          "2010-02-25T23:15:00-07:00",
-          "2010-02-25T23:16:00-07:00",
-          "2010-02-25T23:17:00-07:00",
-          "2010-02-25T23:18:00-07:00",
-          "2010-02-25T23:19:00-07:00",
-          "2010-02-25T23:20:00-07:00",
-          "2010-02-25T23:21:00-07:00",
-          "2010-02-25T23:22:00-07:00",
-          "2010-02-25T23:23:00-07:00",
-          "2010-02-25T23:24:00-07:00",
-          "2010-02-25T23:25:00-07:00",
-          "2010-02-25T23:26:00-07:00",
-          "2010-02-25T23:27:00-07:00",
-          "2010-02-25T23:28:00-07:00",
-          "2010-02-25T23:29:00-07:00",
-          "2010-02-25T23:30:00-07:00",
-          "2010-02-25T23:31:00-07:00",
-          "2010-02-25T23:32:00-07:00",
-          "2010-02-25T23:33:00-07:00",
-          "2010-02-25T23:34:00-07:00",
-          "2010-02-25T23:35:00-07:00",
-          "2010-02-25T23:36:00-07:00",
-          "2010-02-25T23:37:00-07:00",
-          "2010-02-25T23:38:00-07:00",
-          "2010-02-25T23:39:00-07:00",
-          "2010-02-25T23:40:00-07:00",
-          "2010-02-25T23:41:00-07:00",
-          "2010-02-25T23:42:00-07:00",
-          "2010-02-25T23:43:00-07:00",
-          "2010-02-25T23:44:00-07:00",
-          "2010-02-25T23:45:00-07:00",
-          "2010-02-25T23:46:00-07:00",
-          "2010-02-25T23:47:00-07:00",
-          "2010-02-25T23:48:00-07:00",
-          "2010-02-25T23:49:00-07:00",
-          "2010-02-25T23:50:00-07:00",
-          "2010-02-25T23:51:00-07:00",
-          "2010-02-25T23:52:00-07:00",
-          "2010-02-25T23:53:00-07:00",
-          "2010-02-25T23:54:00-07:00",
-          "2010-02-25T23:55:00-07:00",
-          "2010-02-25T23:56:00-07:00",
-          "2010-02-25T23:57:00-07:00",
-          "2010-02-25T23:58:00-07:00",
-          "2010-02-25T23:59:00-07:00",
-          "2010-02-26T00:00:00-07:00",
-          "2010-02-26T00:01:00-07:00",
-          "2010-02-26T00:02:00-07:00",
-          "2010-02-26T00:03:00-07:00",
-          "2010-02-26T00:04:00-07:00",
-          "2010-02-26T00:05:00-07:00",
-          "2010-02-26T00:06:00-07:00",
-          "2010-02-26T00:07:00-07:00",
-          "2010-02-26T00:08:00-07:00",
-          "2010-02-26T00:09:00-07:00",
-          "2010-02-26T00:10:00-07:00",
-          "2010-02-26T00:11:00-07:00",
-          "2010-02-26T00:12:00-07:00",
-          "2010-02-26T00:13:00-07:00",
-          "2010-02-26T00:14:00-07:00",
-          "2010-02-26T00:15:00-07:00",
-          "2010-02-26T00:16:00-07:00",
-          "2010-02-26T00:17:00-07:00",
-          "2010-02-26T00:18:00-07:00",
-          "2010-02-26T00:19:00-07:00",
-          "2010-02-26T00:20:00-07:00",
-          "2010-02-26T00:21:00-07:00",
-          "2010-02-26T00:22:00-07:00",
-          "2010-02-26T00:23:00-07:00",
-          "2010-02-26T00:24:00-07:00",
-          "2010-02-26T00:25:00-07:00",
-          "2010-02-26T00:26:00-07:00",
-          "2010-02-26T00:27:00-07:00",
-          "2010-02-26T00:28:00-07:00",
-          "2010-02-26T00:29:00-07:00",
-          "2010-02-26T00:30:00-07:00",
-          "2010-02-26T00:31:00-07:00",
-          "2010-02-26T00:32:00-07:00",
-          "2010-02-26T00:33:00-07:00",
-          "2010-02-26T00:34:00-07:00",
-          "2010-02-26T00:35:00-07:00",
-          "2010-02-26T00:36:00-07:00",
-          "2010-02-26T00:37:00-07:00",
-          "2010-02-26T00:38:00-07:00",
-          "2010-02-26T00:39:00-07:00",
-          "2010-02-26T00:40:00-07:00",
-          "2010-02-26T00:41:00-07:00",
-          "2010-02-26T00:42:00-07:00",
-          "2010-02-26T00:43:00-07:00",
-          "2010-02-26T00:44:00-07:00",
-          "2010-02-26T00:45:00-07:00",
-          "2010-02-26T00:46:00-07:00",
-          "2010-02-26T00:47:00-07:00",
-          "2010-02-26T00:48:00-07:00",
-          "2010-02-26T00:49:00-07:00",
-          "2010-02-26T00:50:00-07:00",
-          "2010-02-26T00:51:00-07:00",
-          "2010-02-26T00:52:00-07:00",
-          "2010-02-26T00:53:00-07:00",
-          "2010-02-26T00:54:00-07:00",
-          "2010-02-26T00:55:00-07:00",
-          "2010-02-26T00:56:00-07:00",
-          "2010-02-26T00:57:00-07:00",
-          "2010-02-26T00:58:00-07:00",
-          "2010-02-26T00:59:00-07:00",
-          "2010-02-26T01:00:00-07:00",
-          "2010-02-26T01:01:00-07:00",
-          "2010-02-26T01:02:00-07:00",
-          "2010-02-26T01:03:00-07:00",
-          "2010-02-26T01:04:00-07:00",
-          "2010-02-26T01:05:00-07:00",
-          "2010-02-26T01:06:00-07:00",
-          "2010-02-26T01:07:00-07:00",
-          "2010-02-26T01:08:00-07:00",
-          "2010-02-26T01:09:00-07:00",
-          "2010-02-26T01:10:00-07:00",
-          "2010-02-26T01:11:00-07:00",
-          "2010-02-26T01:12:00-07:00",
-          "2010-02-26T01:13:00-07:00",
-          "2010-02-26T01:14:00-07:00",
-          "2010-02-26T01:15:00-07:00",
-          "2010-02-26T01:16:00-07:00",
-          "2010-02-26T01:17:00-07:00",
-          "2010-02-26T01:18:00-07:00",
-          "2010-02-26T01:19:00-07:00",
-          "2010-02-26T01:20:00-07:00",
-          "2010-02-26T01:21:00-07:00",
-          "2010-02-26T01:22:00-07:00",
-          "2010-02-26T01:23:00-07:00",
-          "2010-02-26T01:24:00-07:00",
-          "2010-02-26T01:25:00-07:00",
-          "2010-02-26T01:26:00-07:00",
-          "2010-02-26T01:27:00-07:00",
-          "2010-02-26T01:28:00-07:00",
-          "2010-02-26T01:29:00-07:00",
-          "2010-02-26T01:30:00-07:00",
-          "2010-02-26T01:31:00-07:00",
-          "2010-02-26T01:32:00-07:00",
-          "2010-02-26T01:33:00-07:00",
-          "2010-02-26T01:34:00-07:00",
-          "2010-02-26T01:35:00-07:00",
-          "2010-02-26T01:36:00-07:00",
-          "2010-02-26T01:37:00-07:00",
-          "2010-02-26T01:38:00-07:00",
-          "2010-02-26T01:39:00-07:00",
-          "2010-02-26T01:40:00-07:00",
-          "2010-02-26T01:41:00-07:00",
-          "2010-02-26T01:42:00-07:00",
-          "2010-02-26T01:43:00-07:00",
-          "2010-02-26T01:44:00-07:00",
-          "2010-02-26T01:45:00-07:00",
-          "2010-02-26T01:46:00-07:00",
-          "2010-02-26T01:47:00-07:00",
-          "2010-02-26T01:48:00-07:00",
-          "2010-02-26T01:49:00-07:00",
-          "2010-02-26T01:50:00-07:00",
-          "2010-02-26T01:51:00-07:00",
-          "2010-02-26T01:52:00-07:00",
-          "2010-02-26T01:53:00-07:00",
-          "2010-02-26T01:54:00-07:00",
-          "2010-02-26T01:55:00-07:00",
-          "2010-02-26T01:56:00-07:00",
-          "2010-02-26T01:57:00-07:00",
-          "2010-02-26T01:58:00-07:00",
-          "2010-02-26T01:59:00-07:00",
-          "2010-02-26T02:00:00-07:00",
-          "2010-02-26T02:01:00-07:00",
-          "2010-02-26T02:02:00-07:00",
-          "2010-02-26T02:03:00-07:00",
-          "2010-02-26T02:04:00-07:00",
-          "2010-02-26T02:05:00-07:00",
-          "2010-02-26T02:06:00-07:00",
-          "2010-02-26T02:07:00-07:00",
-          "2010-02-26T02:08:00-07:00",
-          "2010-02-26T02:09:00-07:00",
-          "2010-02-26T02:10:00-07:00",
-          "2010-02-26T02:11:00-07:00",
-          "2010-02-26T02:12:00-07:00",
-          "2010-02-26T02:13:00-07:00",
-          "2010-02-26T02:14:00-07:00",
-          "2010-02-26T02:15:00-07:00",
-          "2010-02-26T02:16:00-07:00",
-          "2010-02-26T02:17:00-07:00",
-          "2010-02-26T02:18:00-07:00",
-          "2010-02-26T02:19:00-07:00",
-          "2010-02-26T02:20:00-07:00",
-          "2010-02-26T02:21:00-07:00",
-          "2010-02-26T02:22:00-07:00",
-          "2010-02-26T02:23:00-07:00",
-          "2010-02-26T02:24:00-07:00",
-          "2010-02-26T02:25:00-07:00",
-          "2010-02-26T02:26:00-07:00",
-          "2010-02-26T02:27:00-07:00",
-          "2010-02-26T02:28:00-07:00",
-          "2010-02-26T02:29:00-07:00",
-          "2010-02-26T02:30:00-07:00",
-          "2010-02-26T02:31:00-07:00",
-          "2010-02-26T02:32:00-07:00",
-          "2010-02-26T02:33:00-07:00",
-          "2010-02-26T02:34:00-07:00",
-          "2010-02-26T02:35:00-07:00",
-          "2010-02-26T02:36:00-07:00",
-          "2010-02-26T02:37:00-07:00",
-          "2010-02-26T02:38:00-07:00",
-          "2010-02-26T02:39:00-07:00",
-          "2010-02-26T02:40:00-07:00",
-          "2010-02-26T02:41:00-07:00",
-          "2010-02-26T02:42:00-07:00",
-          "2010-02-26T02:43:00-07:00",
-          "2010-02-26T02:44:00-07:00",
-          "2010-02-26T02:45:00-07:00",
-          "2010-02-26T02:46:00-07:00",
-          "2010-02-26T02:47:00-07:00",
-          "2010-02-26T02:48:00-07:00",
-          "2010-02-26T02:49:00-07:00",
-          "2010-02-26T02:50:00-07:00",
-          "2010-02-26T02:51:00-07:00",
-          "2010-02-26T02:52:00-07:00",
-          "2010-02-26T02:53:00-07:00",
-          "2010-02-26T02:54:00-07:00",
-          "2010-02-26T02:55:00-07:00",
-          "2010-02-26T02:56:00-07:00",
-          "2010-02-26T02:57:00-07:00",
-          "2010-02-26T02:58:00-07:00",
-          "2010-02-26T02:59:00-07:00",
-          "2010-02-26T03:00:00-07:00",
-          "2010-02-26T03:01:00-07:00",
-          "2010-02-26T03:02:00-07:00",
-          "2010-02-26T03:03:00-07:00",
-          "2010-02-26T03:04:00-07:00",
-          "2010-02-26T03:05:00-07:00",
-          "2010-02-26T03:06:00-07:00",
-          "2010-02-26T03:07:00-07:00",
-          "2010-02-26T03:08:00-07:00",
-          "2010-02-26T03:09:00-07:00",
-          "2010-02-26T03:10:00-07:00",
-          "2010-02-26T03:11:00-07:00",
-          "2010-02-26T03:12:00-07:00",
-          "2010-02-26T03:13:00-07:00",
-          "2010-02-26T03:14:00-07:00",
-          "2010-02-26T03:15:00-07:00",
-          "2010-02-26T03:16:00-07:00",
-          "2010-02-26T03:17:00-07:00",
-          "2010-02-26T03:18:00-07:00",
-          "2010-02-26T03:19:00-07:00",
-          "2010-02-26T03:20:00-07:00",
-          "2010-02-26T03:21:00-07:00",
-          "2010-02-26T03:22:00-07:00",
-          "2010-02-26T03:23:00-07:00",
-          "2010-02-26T03:24:00-07:00",
-          "2010-02-26T03:25:00-07:00",
-          "2010-02-26T03:26:00-07:00",
-          "2010-02-26T03:27:00-07:00",
-          "2010-02-26T03:28:00-07:00",
-          "2010-02-26T03:29:00-07:00",
-          "2010-02-26T03:30:00-07:00",
-          "2010-02-26T03:31:00-07:00",
-          "2010-02-26T03:32:00-07:00",
-          "2010-02-26T03:33:00-07:00",
-          "2010-02-26T03:34:00-07:00",
-          "2010-02-26T03:35:00-07:00",
-          "2010-02-26T03:36:00-07:00",
-          "2010-02-26T03:37:00-07:00",
-          "2010-02-26T03:38:00-07:00",
-          "2010-02-26T03:39:00-07:00",
-          "2010-02-26T03:40:00-07:00",
-          "2010-02-26T03:41:00-07:00",
-          "2010-02-26T03:42:00-07:00",
-          "2010-02-26T03:43:00-07:00",
-          "2010-02-26T03:44:00-07:00",
-          "2010-02-26T03:45:00-07:00",
-          "2010-02-26T03:46:00-07:00",
-          "2010-02-26T03:47:00-07:00",
-          "2010-02-26T03:48:00-07:00",
-          "2010-02-26T03:49:00-07:00",
-          "2010-02-26T03:50:00-07:00",
-          "2010-02-26T03:51:00-07:00",
-          "2010-02-26T03:52:00-07:00",
-          "2010-02-26T03:53:00-07:00",
-          "2010-02-26T03:54:00-07:00",
-          "2010-02-26T03:55:00-07:00",
-          "2010-02-26T03:56:00-07:00",
-          "2010-02-26T03:57:00-07:00",
-          "2010-02-26T03:58:00-07:00",
-          "2010-02-26T03:59:00-07:00",
-          "2010-02-26T04:00:00-07:00",
-          "2010-02-26T04:01:00-07:00",
-          "2010-02-26T04:02:00-07:00",
-          "2010-02-26T04:03:00-07:00",
-          "2010-02-26T04:04:00-07:00",
-          "2010-02-26T04:05:00-07:00",
-          "2010-02-26T04:06:00-07:00",
-          "2010-02-26T04:07:00-07:00",
-          "2010-02-26T04:08:00-07:00",
-          "2010-02-26T04:09:00-07:00",
-          "2010-02-26T04:10:00-07:00",
-          "2010-02-26T04:11:00-07:00",
-          "2010-02-26T04:12:00-07:00",
-          "2010-02-26T04:13:00-07:00",
-          "2010-02-26T04:14:00-07:00",
-          "2010-02-26T04:15:00-07:00",
-          "2010-02-26T04:16:00-07:00",
-          "2010-02-26T04:17:00-07:00",
-          "2010-02-26T04:18:00-07:00",
-          "2010-02-26T04:19:00-07:00",
-          "2010-02-26T04:20:00-07:00",
-          "2010-02-26T04:21:00-07:00",
-          "2010-02-26T04:22:00-07:00",
-          "2010-02-26T04:23:00-07:00",
-          "2010-02-26T04:24:00-07:00",
-          "2010-02-26T04:25:00-07:00",
-          "2010-02-26T04:26:00-07:00",
-          "2010-02-26T04:27:00-07:00",
-          "2010-02-26T04:28:00-07:00",
-          "2010-02-26T04:29:00-07:00",
-          "2010-02-26T04:30:00-07:00",
-          "2010-02-26T04:31:00-07:00",
-          "2010-02-26T04:32:00-07:00",
-          "2010-02-26T04:33:00-07:00",
-          "2010-02-26T04:34:00-07:00",
-          "2010-02-26T04:35:00-07:00",
-          "2010-02-26T04:36:00-07:00",
-          "2010-02-26T04:37:00-07:00",
-          "2010-02-26T04:38:00-07:00",
-          "2010-02-26T04:39:00-07:00",
-          "2010-02-26T04:40:00-07:00",
-          "2010-02-26T04:41:00-07:00",
-          "2010-02-26T04:42:00-07:00",
-          "2010-02-26T04:43:00-07:00",
-          "2010-02-26T04:44:00-07:00",
-          "2010-02-26T04:45:00-07:00",
-          "2010-02-26T04:46:00-07:00",
-          "2010-02-26T04:47:00-07:00",
-          "2010-02-26T04:48:00-07:00",
-          "2010-02-26T04:49:00-07:00",
-          "2010-02-26T04:50:00-07:00",
-          "2010-02-26T04:51:00-07:00",
-          "2010-02-26T04:52:00-07:00",
-          "2010-02-26T04:53:00-07:00",
-          "2010-02-26T04:54:00-07:00",
-          "2010-02-26T04:55:00-07:00",
-          "2010-02-26T04:56:00-07:00",
-          "2010-02-26T04:57:00-07:00",
-          "2010-02-26T04:58:00-07:00",
-          "2010-02-26T04:59:00-07:00",
-          "2010-02-26T05:00:00-07:00",
-          "2010-02-26T05:01:00-07:00",
-          "2010-02-26T05:02:00-07:00",
-          "2010-02-26T05:03:00-07:00",
-          "2010-02-26T05:04:00-07:00",
-          "2010-02-26T05:05:00-07:00",
-          "2010-02-26T05:06:00-07:00",
-          "2010-02-26T05:07:00-07:00",
-          "2010-02-26T05:08:00-07:00",
-          "2010-02-26T05:09:00-07:00",
-          "2010-02-26T05:10:00-07:00",
-          "2010-02-26T05:11:00-07:00",
-          "2010-02-26T05:12:00-07:00",
-          "2010-02-26T05:13:00-07:00",
-          "2010-02-26T05:14:00-07:00",
-          "2010-02-26T05:15:00-07:00",
-          "2010-02-26T05:16:00-07:00",
-          "2010-02-26T05:17:00-07:00",
-          "2010-02-26T05:18:00-07:00",
-          "2010-02-26T05:19:00-07:00",
-          "2010-02-26T05:20:00-07:00",
-          "2010-02-26T05:21:00-07:00",
-          "2010-02-26T05:22:00-07:00",
-          "2010-02-26T05:23:00-07:00",
-          "2010-02-26T05:24:00-07:00",
-          "2010-02-26T05:25:00-07:00",
-          "2010-02-26T05:26:00-07:00",
-          "2010-02-26T05:27:00-07:00",
-          "2010-02-26T05:28:00-07:00",
-          "2010-02-26T05:29:00-07:00",
-          "2010-02-26T05:30:00-07:00",
-          "2010-02-26T05:31:00-07:00",
-          "2010-02-26T05:32:00-07:00",
-          "2010-02-26T05:33:00-07:00",
-          "2010-02-26T05:34:00-07:00",
-          "2010-02-26T05:35:00-07:00",
-          "2010-02-26T05:36:00-07:00",
-          "2010-02-26T05:37:00-07:00",
-          "2010-02-26T05:38:00-07:00",
-          "2010-02-26T05:39:00-07:00",
-          "2010-02-26T05:40:00-07:00",
-          "2010-02-26T05:41:00-07:00",
-          "2010-02-26T05:42:00-07:00",
-          "2010-02-26T05:43:00-07:00",
-          "2010-02-26T05:44:00-07:00",
-          "2010-02-26T05:45:00-07:00",
-          "2010-02-26T05:46:00-07:00",
-          "2010-02-26T05:47:00-07:00",
-          "2010-02-26T05:48:00-07:00",
-          "2010-02-26T05:49:00-07:00",
-          "2010-02-26T05:50:00-07:00",
-          "2010-02-26T05:51:00-07:00",
-          "2010-02-26T05:52:00-07:00",
-          "2010-02-26T05:53:00-07:00",
-          "2010-02-26T05:54:00-07:00",
-          "2010-02-26T05:55:00-07:00",
-          "2010-02-26T05:56:00-07:00",
-          "2010-02-26T05:57:00-07:00",
-          "2010-02-26T05:58:00-07:00",
-          "2010-02-26T05:59:00-07:00",
-          "2010-02-26T06:00:00-07:00",
-          "2010-02-26T06:01:00-07:00",
-          "2010-02-26T06:02:00-07:00",
-          "2010-02-26T06:03:00-07:00",
-          "2010-02-26T06:04:00-07:00",
-          "2010-02-26T06:05:00-07:00",
-          "2010-02-26T06:06:00-07:00",
-          "2010-02-26T06:07:00-07:00",
-          "2010-02-26T06:08:00-07:00",
-          "2010-02-26T06:09:00-07:00",
-          "2010-02-26T06:10:00-07:00",
-          "2010-02-26T06:11:00-07:00",
-          "2010-02-26T06:12:00-07:00",
-          "2010-02-26T06:13:00-07:00",
-          "2010-02-26T06:14:00-07:00",
-          "2010-02-26T06:15:00-07:00",
-          "2010-02-26T06:16:00-07:00",
-          "2010-02-26T06:17:00-07:00",
-          "2010-02-26T06:18:00-07:00",
-          "2010-02-26T06:19:00-07:00",
-          "2010-02-26T06:20:00-07:00",
-          "2010-02-26T06:21:00-07:00",
-          "2010-02-26T06:22:00-07:00",
-          "2010-02-26T06:23:00-07:00",
-          "2010-02-26T06:24:00-07:00",
-          "2010-02-26T06:25:00-07:00",
-          "2010-02-26T06:26:00-07:00",
-          "2010-02-26T06:27:00-07:00",
-          "2010-02-26T06:28:00-07:00",
-          "2010-02-26T06:29:00-07:00",
-          "2010-02-26T06:30:00-07:00",
-          "2010-02-26T06:31:00-07:00",
-          "2010-02-26T06:32:00-07:00",
-          "2010-02-26T06:33:00-07:00",
-          "2010-02-26T06:34:00-07:00",
-          "2010-02-26T06:35:00-07:00",
-          "2010-02-26T06:36:00-07:00",
-          "2010-02-26T06:37:00-07:00",
-          "2010-02-26T06:38:00-07:00",
-          "2010-02-26T06:39:00-07:00",
-          "2010-02-26T06:40:00-07:00",
-          "2010-02-26T06:41:00-07:00",
-          "2010-02-26T06:42:00-07:00",
-          "2010-02-26T06:43:00-07:00",
-          "2010-02-26T06:44:00-07:00",
-          "2010-02-26T06:45:00-07:00",
-          "2010-02-26T06:46:00-07:00",
-          "2010-02-26T06:47:00-07:00",
-          "2010-02-26T06:48:00-07:00",
-          "2010-02-26T06:49:00-07:00",
-          "2010-02-26T06:50:00-07:00",
-          "2010-02-26T06:51:00-07:00",
-          "2010-02-26T06:52:00-07:00",
-          "2010-02-26T06:53:00-07:00",
-          "2010-02-26T06:54:00-07:00",
-          "2010-02-26T06:55:00-07:00",
-          "2010-02-26T06:56:00-07:00",
-          "2010-02-26T06:57:00-07:00",
-          "2010-02-26T06:58:00-07:00",
-          "2010-02-26T06:59:00-07:00",
-          "2010-02-26T07:00:00-07:00",
-          "2010-02-26T07:01:00-07:00",
-          "2010-02-26T07:02:00-07:00",
-          "2010-02-26T07:03:00-07:00",
-          "2010-02-26T07:04:00-07:00",
-          "2010-02-26T07:05:00-07:00",
-          "2010-02-26T07:06:00-07:00",
-          "2010-02-26T07:07:00-07:00",
-          "2010-02-26T07:08:00-07:00",
-          "2010-02-26T07:09:00-07:00",
-          "2010-02-26T07:10:00-07:00",
-          "2010-02-26T07:11:00-07:00",
-          "2010-02-26T07:12:00-07:00",
-          "2010-02-26T07:13:00-07:00",
-          "2010-02-26T07:14:00-07:00",
-          "2010-02-26T07:15:00-07:00",
-          "2010-02-26T07:16:00-07:00",
-          "2010-02-26T07:17:00-07:00",
-          "2010-02-26T07:18:00-07:00",
-          "2010-02-26T07:19:00-07:00",
-          "2010-02-26T07:20:00-07:00",
-          "2010-02-26T07:21:00-07:00",
-          "2010-02-26T07:22:00-07:00",
-          "2010-02-26T07:23:00-07:00",
-          "2010-02-26T07:24:00-07:00",
-          "2010-02-26T07:25:00-07:00",
-          "2010-02-26T07:26:00-07:00",
-          "2010-02-26T07:27:00-07:00",
-          "2010-02-26T07:28:00-07:00",
-          "2010-02-26T07:29:00-07:00",
-          "2010-02-26T07:30:00-07:00",
-          "2010-02-26T07:31:00-07:00",
-          "2010-02-26T07:32:00-07:00",
-          "2010-02-26T07:33:00-07:00",
-          "2010-02-26T07:34:00-07:00",
-          "2010-02-26T07:35:00-07:00",
-          "2010-02-26T07:36:00-07:00",
-          "2010-02-26T07:37:00-07:00",
-          "2010-02-26T07:38:00-07:00",
-          "2010-02-26T07:39:00-07:00",
-          "2010-02-26T07:40:00-07:00",
-          "2010-02-26T07:41:00-07:00",
-          "2010-02-26T07:42:00-07:00",
-          "2010-02-26T07:43:00-07:00",
-          "2010-02-26T07:45:00-07:00",
-          "2010-02-26T07:46:00-07:00",
-          "2010-02-26T07:47:00-07:00",
-          "2010-02-26T07:48:00-07:00",
-          "2010-02-26T07:49:00-07:00",
-          "2010-02-26T08:41:00-07:00",
-          "2010-02-26T08:42:00-07:00",
-          "2010-02-26T10:01:00-07:00",
-          "2010-02-26T10:02:00-07:00",
-          "2010-02-26T10:03:00-07:00",
-          "2010-02-26T10:04:00-07:00",
-          "2010-02-26T10:05:00-07:00",
-          "2010-02-26T10:06:00-07:00",
-          "2010-02-26T10:08:00-07:00",
-          "2010-02-26T10:12:00-07:00",
-          "2010-02-26T10:14:00-07:00",
-          "2010-02-26T10:21:00-07:00",
-          "2010-02-26T10:22:00-07:00",
-          "2010-02-26T10:23:00-07:00",
-          "2010-02-26T10:24:00-07:00",
-          "2010-02-26T10:25:00-07:00",
-          "2010-02-26T10:26:00-07:00",
-          "2010-02-26T10:27:00-07:00",
-          "2010-02-26T10:28:00-07:00",
-          "2010-02-26T10:29:00-07:00",
-          "2010-02-26T10:30:00-07:00",
-          "2010-02-26T10:33:00-07:00",
-          "2010-02-26T10:34:00-07:00",
-          "2010-02-26T10:35:00-07:00",
-          "2010-02-26T10:38:00-07:00",
-          "2010-02-26T10:40:00-07:00",
-          "2010-02-26T10:41:00-07:00",
-          "2010-02-26T10:46:00-07:00",
-          "2010-02-26T10:48:00-07:00",
-          "2010-02-26T10:51:00-07:00",
-          "2010-02-26T10:58:00-07:00",
-          "2010-02-26T11:00:00-07:00",
-          "2010-02-26T11:10:00-07:00",
-          "2010-02-26T11:13:00-07:00",
-          "2010-02-26T11:15:00-07:00",
-          "2010-02-26T11:16:00-07:00",
-          "2010-02-26T11:22:00-07:00",
-          "2010-02-26T11:26:00-07:00",
-          "2010-02-26T11:27:00-07:00",
-          "2010-02-26T11:29:00-07:00",
-          "2010-02-26T11:30:00-07:00",
-          "2010-02-26T11:31:00-07:00",
-          "2010-02-26T11:36:00-07:00",
-          "2010-02-26T11:38:00-07:00",
-          "2010-02-26T11:41:00-07:00",
-          "2010-02-26T11:46:00-07:00",
-          "2010-02-26T11:49:00-07:00",
-          "2010-02-26T11:50:00-07:00",
-          "2010-02-26T11:51:00-07:00",
-          "2010-02-26T11:52:00-07:00",
-          "2010-02-26T11:54:00-07:00",
-          "2010-02-26T11:55:00-07:00",
-          "2010-02-26T11:56:00-07:00",
-          "2010-02-26T11:57:00-07:00",
-          "2010-02-26T12:03:00-07:00",
-          "2010-02-26T12:04:00-07:00",
-          "2010-02-26T12:07:00-07:00",
-          "2010-02-26T12:08:00-07:00",
-          "2010-02-26T12:13:00-07:00",
-          "2010-02-26T12:14:00-07:00",
-          "2010-02-26T12:15:00-07:00",
-          "2010-02-26T12:18:00-07:00",
-          "2010-02-26T12:19:00-07:00",
-          "2010-02-26T12:21:00-07:00",
-          "2010-02-26T12:22:00-07:00",
-          "2010-02-26T12:23:00-07:00",
-          "2010-02-26T12:24:00-07:00",
-          "2010-02-26T12:25:00-07:00",
-          "2010-02-26T12:26:00-07:00",
-          "2010-02-26T12:27:00-07:00",
-          "2010-02-26T12:28:00-07:00",
-          "2010-02-26T12:31:00-07:00",
-          "2010-02-26T12:32:00-07:00",
-          "2010-02-26T12:34:00-07:00",
-          "2010-02-26T12:36:00-07:00",
-          "2010-02-26T12:37:00-07:00",
-          "2010-02-26T12:38:00-07:00",
-          "2010-02-26T12:39:00-07:00",
-          "2010-02-26T12:40:00-07:00",
-          "2010-02-26T12:41:00-07:00",
-          "2010-02-26T12:43:00-07:00",
-          "2010-02-26T12:44:00-07:00",
-          "2010-02-26T12:45:00-07:00",
-          "2010-02-26T12:48:00-07:00",
-          "2010-02-26T12:50:00-07:00",
-          "2010-02-26T12:52:00-07:00",
-          "2010-02-26T12:54:00-07:00",
-          "2010-02-26T12:55:00-07:00",
-          "2010-02-26T12:56:00-07:00",
-          "2010-02-26T12:58:00-07:00",
-          "2010-02-26T13:04:00-07:00",
-          "2010-02-26T13:05:00-07:00",
-          "2010-02-26T13:06:00-07:00",
-          "2010-02-26T13:07:00-07:00",
-          "2010-02-26T13:10:00-07:00",
-          "2010-02-26T13:11:00-07:00",
-          "2010-02-26T13:13:00-07:00",
-          "2010-02-26T13:14:00-07:00",
-          "2010-02-26T13:16:00-07:00",
-          "2010-02-26T13:18:00-07:00",
-          "2010-02-26T13:20:00-07:00",
-          "2010-02-26T13:23:00-07:00",
-          "2010-02-26T13:27:00-07:00",
-          "2010-02-26T13:29:00-07:00",
-          "2010-02-26T13:31:00-07:00",
-          "2010-02-26T13:32:00-07:00",
-          "2010-02-26T13:33:00-07:00",
-          "2010-02-26T13:34:00-07:00",
-          "2010-02-26T13:35:00-07:00",
-          "2010-02-26T13:36:00-07:00",
-          "2010-02-26T13:37:00-07:00",
-          "2010-02-26T13:39:00-07:00",
-          "2010-02-26T13:41:00-07:00",
-          "2010-02-26T13:42:00-07:00",
-          "2010-02-26T13:45:00-07:00",
-          "2010-02-26T13:46:00-07:00",
-          "2010-02-26T13:47:00-07:00",
-          "2010-02-26T13:48:00-07:00",
-          "2010-02-26T13:51:00-07:00",
-          "2010-02-26T13:55:00-07:00",
-          "2010-02-26T13:56:00-07:00",
-          "2010-02-26T14:08:00-07:00",
-          "2010-02-26T14:13:00-07:00",
-          "2010-02-26T14:18:00-07:00",
-          "2010-02-26T14:19:00-07:00",
-          "2010-02-26T14:21:00-07:00",
-          "2010-02-26T14:22:00-07:00",
-          "2010-02-26T14:23:00-07:00",
-          "2010-02-26T17:37:00-07:00",
-          "2010-02-26T17:38:00-07:00",
-          "2010-02-26T17:39:00-07:00",
-          "2010-02-26T17:40:00-07:00",
-          "2010-02-26T17:41:00-07:00",
-          "2010-02-26T17:42:00-07:00",
-          "2010-02-26T17:43:00-07:00",
-          "2010-02-26T17:44:00-07:00",
-          "2010-02-26T17:45:00-07:00",
-          "2010-02-26T17:46:00-07:00",
-          "2010-02-26T17:47:00-07:00",
-          "2010-02-26T17:48:00-07:00",
-          "2010-02-26T17:49:00-07:00",
-          "2010-02-26T17:50:00-07:00",
-          "2010-02-26T17:51:00-07:00",
-          "2010-02-26T17:52:00-07:00",
-          "2010-02-26T17:53:00-07:00",
-          "2010-02-26T17:54:00-07:00",
-          "2010-02-26T17:55:00-07:00",
-          "2010-02-26T17:56:00-07:00",
-          "2010-02-26T17:57:00-07:00",
-          "2010-02-26T17:58:00-07:00",
-          "2010-02-26T17:59:00-07:00",
-          "2010-02-26T18:00:00-07:00",
-          "2010-02-26T18:01:00-07:00",
-          "2010-02-26T18:02:00-07:00",
-          "2010-02-26T18:03:00-07:00",
-          "2010-02-26T18:04:00-07:00",
-          "2010-02-26T18:05:00-07:00",
-          "2010-02-26T18:06:00-07:00",
-          "2010-02-26T18:07:00-07:00",
-          "2010-02-26T18:08:00-07:00",
-          "2010-02-26T18:09:00-07:00",
-          "2010-02-26T18:10:00-07:00",
-          "2010-02-26T18:11:00-07:00",
-          "2010-02-26T18:12:00-07:00",
-          "2010-02-26T18:13:00-07:00",
-          "2010-02-26T18:14:00-07:00",
-          "2010-02-26T18:15:00-07:00",
-          "2010-02-26T18:16:00-07:00",
-          "2010-02-26T18:17:00-07:00",
-          "2010-02-26T18:18:00-07:00",
-          "2010-02-26T18:19:00-07:00",
-          "2010-02-26T18:20:00-07:00",
-          "2010-02-26T18:21:00-07:00",
-          "2010-02-26T18:22:00-07:00",
-          "2010-02-26T18:23:00-07:00",
-          "2010-02-26T18:24:00-07:00",
-          "2010-02-26T18:25:00-07:00",
-          "2010-02-26T18:26:00-07:00",
-          "2010-02-26T18:27:00-07:00",
-          "2010-02-26T18:28:00-07:00",
-          "2010-02-26T18:29:00-07:00",
-          "2010-02-26T18:30:00-07:00",
-          "2010-02-26T18:31:00-07:00",
-          "2010-02-26T18:32:00-07:00",
-          "2010-02-26T18:33:00-07:00",
-          "2010-02-26T18:34:00-07:00",
-          "2010-02-26T18:35:00-07:00",
-          "2010-02-26T18:36:00-07:00",
-          "2010-02-26T18:37:00-07:00",
-          "2010-02-26T18:38:00-07:00",
-          "2010-02-26T18:39:00-07:00",
-          "2010-02-26T18:40:00-07:00",
-          "2010-02-26T18:41:00-07:00",
-          "2010-02-26T18:42:00-07:00",
-          "2010-02-26T18:43:00-07:00",
-          "2010-02-26T18:44:00-07:00",
-          "2010-02-26T18:45:00-07:00",
-          "2010-02-26T18:46:00-07:00",
-          "2010-02-26T18:47:00-07:00",
-          "2010-02-26T18:48:00-07:00",
-          "2010-02-26T18:49:00-07:00",
-          "2010-02-26T18:50:00-07:00",
-          "2010-02-26T18:51:00-07:00",
-          "2010-02-26T18:52:00-07:00",
-          "2010-02-26T18:53:00-07:00",
-          "2010-02-26T18:54:00-07:00",
-          "2010-02-26T18:55:00-07:00",
-          "2010-02-26T18:56:00-07:00",
-          "2010-02-26T18:57:00-07:00",
-          "2010-02-26T18:58:00-07:00",
-          "2010-02-26T18:59:00-07:00",
-          "2010-02-26T19:00:00-07:00",
-          "2010-02-26T19:01:00-07:00",
-          "2010-02-26T19:02:00-07:00",
-          "2010-02-26T19:03:00-07:00",
-          "2010-02-26T19:04:00-07:00",
-          "2010-02-26T19:05:00-07:00",
-          "2010-02-26T19:06:00-07:00",
-          "2010-02-26T19:07:00-07:00",
-          "2010-02-26T19:08:00-07:00",
-          "2010-02-26T19:09:00-07:00",
-          "2010-02-26T19:10:00-07:00",
-          "2010-02-26T19:11:00-07:00",
-          "2010-02-26T19:12:00-07:00",
-          "2010-02-26T19:13:00-07:00",
-          "2010-02-26T19:14:00-07:00",
-          "2010-02-26T19:15:00-07:00",
-          "2010-02-26T19:16:00-07:00",
-          "2010-02-26T19:17:00-07:00",
-          "2010-02-26T19:18:00-07:00",
-          "2010-02-26T19:19:00-07:00",
-          "2010-02-26T19:20:00-07:00",
-          "2010-02-26T19:21:00-07:00",
-          "2010-02-26T19:22:00-07:00",
-          "2010-02-26T19:23:00-07:00",
-          "2010-02-26T19:24:00-07:00",
-          "2010-02-26T19:25:00-07:00",
-          "2010-02-26T19:26:00-07:00",
-          "2010-02-26T19:27:00-07:00",
-          "2010-02-26T19:28:00-07:00",
-          "2010-02-26T19:29:00-07:00",
-          "2010-02-26T19:30:00-07:00",
-          "2010-02-26T19:31:00-07:00",
-          "2010-02-26T19:32:00-07:00",
-          "2010-02-26T19:33:00-07:00",
-          "2010-02-26T19:34:00-07:00",
-          "2010-02-26T19:35:00-07:00",
-          "2010-02-26T19:36:00-07:00",
-          "2010-02-26T19:37:00-07:00",
-          "2010-02-26T19:38:00-07:00",
-          "2010-02-26T19:39:00-07:00",
-          "2010-02-26T19:40:00-07:00",
-          "2010-02-26T19:41:00-07:00",
-          "2010-02-26T19:42:00-07:00",
-          "2010-02-26T19:43:00-07:00",
-          "2010-02-26T19:44:00-07:00",
-          "2010-02-26T19:45:00-07:00",
-          "2010-02-26T19:46:00-07:00",
-          "2010-02-26T19:47:00-07:00",
-          "2010-02-26T19:48:00-07:00",
-          "2010-02-26T19:49:00-07:00",
-          "2010-02-26T19:50:00-07:00",
-          "2010-02-26T19:51:00-07:00",
-          "2010-02-26T19:52:00-07:00",
-          "2010-02-26T19:53:00-07:00",
-          "2010-02-26T19:54:00-07:00",
-          "2010-02-26T19:55:00-07:00",
-          "2010-02-26T19:56:00-07:00",
-          "2010-02-26T19:57:00-07:00",
-          "2010-02-26T19:58:00-07:00",
-          "2010-02-26T19:59:00-07:00",
-          "2010-02-26T20:00:00-07:00",
-          "2010-02-26T20:01:00-07:00",
-          "2010-02-26T20:02:00-07:00",
-          "2010-02-26T20:03:00-07:00",
-          "2010-02-26T20:04:00-07:00",
-          "2010-02-26T20:05:00-07:00",
-          "2010-02-26T20:06:00-07:00",
-          "2010-02-26T20:07:00-07:00",
-          "2010-02-26T20:08:00-07:00",
-          "2010-02-26T20:09:00-07:00",
-          "2010-02-26T20:10:00-07:00",
-          "2010-02-26T20:11:00-07:00",
-          "2010-02-26T20:12:00-07:00",
-          "2010-02-26T20:13:00-07:00",
-          "2010-02-26T20:14:00-07:00",
-          "2010-02-26T20:15:00-07:00",
-          "2010-02-26T20:16:00-07:00",
-          "2010-02-26T20:17:00-07:00",
-          "2010-02-26T20:18:00-07:00",
-          "2010-02-26T20:19:00-07:00",
-          "2010-02-26T20:20:00-07:00",
-          "2010-02-26T20:21:00-07:00",
-          "2010-02-26T20:22:00-07:00",
-          "2010-02-26T20:23:00-07:00",
-          "2010-02-26T20:24:00-07:00",
-          "2010-02-26T20:25:00-07:00",
-          "2010-02-26T20:26:00-07:00",
-          "2010-02-26T20:27:00-07:00",
-          "2010-02-26T20:28:00-07:00",
-          "2010-02-26T20:29:00-07:00",
-          "2010-02-26T20:30:00-07:00",
-          "2010-02-26T20:31:00-07:00",
-          "2010-02-26T20:32:00-07:00",
-          "2010-02-26T20:33:00-07:00",
-          "2010-02-26T20:34:00-07:00",
-          "2010-02-26T20:35:00-07:00",
-          "2010-02-26T20:36:00-07:00",
-          "2010-02-26T20:37:00-07:00",
-          "2010-02-26T20:38:00-07:00",
-          "2010-02-26T20:39:00-07:00",
-          "2010-02-26T20:40:00-07:00",
-          "2010-02-26T20:41:00-07:00",
-          "2010-02-26T20:42:00-07:00",
-          "2010-02-26T20:43:00-07:00",
-          "2010-02-26T20:44:00-07:00",
-          "2010-02-26T20:45:00-07:00",
-          "2010-02-26T20:46:00-07:00",
-          "2010-02-26T20:47:00-07:00",
-          "2010-02-26T20:48:00-07:00",
-          "2010-02-26T20:49:00-07:00",
-          "2010-02-26T20:50:00-07:00",
-          "2010-02-26T20:51:00-07:00",
-          "2010-02-26T20:52:00-07:00",
-          "2010-02-26T20:53:00-07:00",
-          "2010-02-26T20:54:00-07:00",
-          "2010-02-26T20:55:00-07:00",
-          "2010-02-26T20:56:00-07:00",
-          "2010-02-26T20:57:00-07:00",
-          "2010-02-26T20:58:00-07:00",
-          "2010-02-26T20:59:00-07:00",
-          "2010-02-26T21:00:00-07:00",
-          "2010-02-26T21:01:00-07:00",
-          "2010-02-26T21:02:00-07:00",
-          "2010-02-26T21:03:00-07:00",
-          "2010-02-26T21:04:00-07:00",
-          "2010-02-26T21:05:00-07:00",
-          "2010-02-26T21:06:00-07:00",
-          "2010-02-26T21:07:00-07:00",
-          "2010-02-26T21:08:00-07:00",
-          "2010-02-26T21:09:00-07:00",
-          "2010-02-26T21:10:00-07:00",
-          "2010-02-26T21:11:00-07:00",
-          "2010-02-26T21:12:00-07:00",
-          "2010-02-26T21:13:00-07:00",
-          "2010-02-26T21:14:00-07:00",
-          "2010-02-26T21:15:00-07:00",
-          "2010-02-26T21:16:00-07:00",
-          "2010-02-26T21:17:00-07:00",
-          "2010-02-26T21:18:00-07:00",
-          "2010-02-26T21:19:00-07:00",
-          "2010-02-26T21:20:00-07:00",
-          "2010-02-26T21:21:00-07:00",
-          "2010-02-26T21:22:00-07:00",
-          "2010-02-26T21:23:00-07:00",
-          "2010-02-26T21:24:00-07:00",
-          "2010-02-26T21:25:00-07:00",
-          "2010-02-26T21:26:00-07:00",
-          "2010-02-26T21:27:00-07:00",
-          "2010-02-26T21:28:00-07:00",
-          "2010-02-26T21:29:00-07:00",
-          "2010-02-26T21:30:00-07:00",
-          "2010-02-26T21:31:00-07:00",
-          "2010-02-26T21:32:00-07:00",
-          "2010-02-26T21:33:00-07:00",
-          "2010-02-26T21:34:00-07:00",
-          "2010-02-26T21:35:00-07:00",
-          "2010-02-26T21:36:00-07:00",
-          "2010-02-26T21:37:00-07:00",
-          "2010-02-26T21:38:00-07:00",
-          "2010-02-26T21:39:00-07:00",
-          "2010-02-26T21:40:00-07:00",
-          "2010-02-26T21:41:00-07:00",
-          "2010-02-26T21:42:00-07:00",
-          "2010-02-26T21:43:00-07:00",
-          "2010-02-26T21:44:00-07:00",
-          "2010-02-26T21:45:00-07:00",
-          "2010-02-26T21:46:00-07:00",
-          "2010-02-26T21:47:00-07:00",
-          "2010-02-26T21:48:00-07:00",
-          "2010-02-26T21:49:00-07:00",
-          "2010-02-26T21:50:00-07:00",
-          "2010-02-26T21:51:00-07:00",
-          "2010-02-26T21:52:00-07:00",
-          "2010-02-26T21:53:00-07:00",
-          "2010-02-26T21:54:00-07:00",
-          "2010-02-26T21:55:00-07:00",
-          "2010-02-26T21:56:00-07:00",
-          "2010-02-26T21:57:00-07:00",
-          "2010-02-26T21:58:00-07:00",
-          "2010-02-26T21:59:00-07:00",
-          "2010-02-26T22:00:00-07:00",
-          "2010-02-26T22:01:00-07:00",
-          "2010-02-26T22:02:00-07:00",
-          "2010-02-26T22:03:00-07:00",
-          "2010-02-26T22:04:00-07:00",
-          "2010-02-26T22:05:00-07:00",
-          "2010-02-26T22:06:00-07:00",
-          "2010-02-26T22:07:00-07:00",
-          "2010-02-26T22:08:00-07:00",
-          "2010-02-26T22:09:00-07:00",
-          "2010-02-26T22:10:00-07:00",
-          "2010-02-26T22:11:00-07:00",
-          "2010-02-26T22:12:00-07:00",
-          "2010-02-26T22:13:00-07:00",
-          "2010-02-26T22:14:00-07:00",
-          "2010-02-26T22:15:00-07:00",
-          "2010-02-26T22:16:00-07:00",
-          "2010-02-26T22:17:00-07:00",
-          "2010-02-26T22:18:00-07:00",
-          "2010-02-26T22:19:00-07:00",
-          "2010-02-26T22:20:00-07:00",
-          "2010-02-26T22:21:00-07:00",
-          "2010-02-26T22:22:00-07:00",
-          "2010-02-26T22:23:00-07:00",
-          "2010-02-26T22:24:00-07:00",
-          "2010-02-26T22:25:00-07:00",
-          "2010-02-26T22:26:00-07:00",
-          "2010-02-26T22:27:00-07:00",
-          "2010-02-26T22:28:00-07:00",
-          "2010-02-26T22:29:00-07:00",
-          "2010-02-26T22:30:00-07:00",
-          "2010-02-26T22:31:00-07:00",
-          "2010-02-26T22:32:00-07:00",
-          "2010-02-26T22:33:00-07:00",
-          "2010-02-26T22:34:00-07:00",
-          "2010-02-26T22:35:00-07:00",
-          "2010-02-26T22:36:00-07:00",
-          "2010-02-26T22:37:00-07:00",
-          "2010-02-26T22:38:00-07:00",
-          "2010-02-26T22:39:00-07:00",
-          "2010-02-26T22:40:00-07:00",
-          "2010-02-26T22:41:00-07:00",
-          "2010-02-26T22:42:00-07:00",
-          "2010-02-26T22:43:00-07:00",
-          "2010-02-26T22:44:00-07:00",
-          "2010-02-26T22:45:00-07:00",
-          "2010-02-26T22:46:00-07:00",
-          "2010-02-26T22:47:00-07:00",
-          "2010-02-26T22:48:00-07:00",
-          "2010-02-26T22:49:00-07:00",
-          "2010-02-26T22:50:00-07:00",
-          "2010-02-26T22:51:00-07:00",
-          "2010-02-26T22:52:00-07:00",
-          "2010-02-26T22:53:00-07:00",
-          "2010-02-26T22:54:00-07:00",
-          "2010-02-26T22:55:00-07:00",
-          "2010-02-26T22:56:00-07:00",
-          "2010-02-26T22:57:00-07:00",
-          "2010-02-26T22:58:00-07:00",
-          "2010-02-26T22:59:00-07:00",
-          "2010-02-26T23:00:00-07:00",
-          "2010-02-26T23:01:00-07:00",
-          "2010-02-26T23:02:00-07:00",
-          "2010-02-26T23:03:00-07:00",
-          "2010-02-26T23:04:00-07:00",
-          "2010-02-26T23:05:00-07:00",
-          "2010-02-26T23:06:00-07:00",
-          "2010-02-26T23:07:00-07:00",
-          "2010-02-26T23:08:00-07:00",
-          "2010-02-26T23:09:00-07:00",
-          "2010-02-26T23:10:00-07:00",
-          "2010-02-26T23:11:00-07:00",
-          "2010-02-26T23:12:00-07:00",
-          "2010-02-26T23:13:00-07:00",
-          "2010-02-26T23:14:00-07:00",
-          "2010-02-26T23:15:00-07:00",
-          "2010-02-26T23:16:00-07:00",
-          "2010-02-26T23:17:00-07:00",
-          "2010-02-26T23:18:00-07:00",
-          "2010-02-26T23:19:00-07:00",
-          "2010-02-26T23:20:00-07:00",
-          "2010-02-26T23:21:00-07:00",
-          "2010-02-26T23:22:00-07:00",
-          "2010-02-26T23:23:00-07:00",
-          "2010-02-26T23:24:00-07:00",
-          "2010-02-26T23:25:00-07:00",
-          "2010-02-26T23:26:00-07:00",
-          "2010-02-26T23:27:00-07:00",
-          "2010-02-26T23:28:00-07:00",
-          "2010-02-26T23:29:00-07:00",
-          "2010-02-26T23:30:00-07:00",
-          "2010-02-26T23:31:00-07:00",
-          "2010-02-26T23:32:00-07:00",
-          "2010-02-26T23:33:00-07:00",
-          "2010-02-26T23:34:00-07:00",
-          "2010-02-26T23:35:00-07:00",
-          "2010-02-26T23:36:00-07:00",
-          "2010-02-26T23:37:00-07:00",
-          "2010-02-26T23:38:00-07:00",
-          "2010-02-26T23:39:00-07:00",
-          "2010-02-26T23:40:00-07:00",
-          "2010-02-26T23:41:00-07:00",
-          "2010-02-26T23:42:00-07:00",
-          "2010-02-26T23:43:00-07:00",
-          "2010-02-26T23:44:00-07:00",
-          "2010-02-26T23:45:00-07:00",
-          "2010-02-26T23:46:00-07:00",
-          "2010-02-26T23:47:00-07:00",
-          "2010-02-26T23:48:00-07:00",
-          "2010-02-26T23:49:00-07:00",
-          "2010-02-26T23:50:00-07:00",
-          "2010-02-26T23:51:00-07:00",
-          "2010-02-26T23:52:00-07:00",
-          "2010-02-26T23:53:00-07:00",
-          "2010-02-26T23:54:00-07:00",
-          "2010-02-26T23:55:00-07:00",
-          "2010-02-26T23:56:00-07:00",
-          "2010-02-26T23:57:00-07:00",
-          "2010-02-26T23:58:00-07:00",
-          "2010-02-26T23:59:00-07:00",
-          "2010-02-27T00:00:00-07:00",
-          "2010-02-27T00:01:00-07:00",
-          "2010-02-27T00:02:00-07:00",
-          "2010-02-27T00:03:00-07:00",
-          "2010-02-27T00:04:00-07:00",
-          "2010-02-27T00:05:00-07:00",
-          "2010-02-27T00:06:00-07:00",
-          "2010-02-27T00:07:00-07:00",
-          "2010-02-27T00:08:00-07:00",
-          "2010-02-27T00:09:00-07:00",
-          "2010-02-27T00:10:00-07:00",
-          "2010-02-27T00:11:00-07:00",
-          "2010-02-27T00:12:00-07:00",
-          "2010-02-27T00:13:00-07:00",
-          "2010-02-27T00:14:00-07:00",
-          "2010-02-27T00:15:00-07:00",
-          "2010-02-27T00:16:00-07:00",
-          "2010-02-27T00:17:00-07:00",
-          "2010-02-27T00:18:00-07:00",
-          "2010-02-27T00:19:00-07:00",
-          "2010-02-27T00:20:00-07:00",
-          "2010-02-27T00:21:00-07:00",
-          "2010-02-27T00:22:00-07:00",
-          "2010-02-27T00:23:00-07:00",
-          "2010-02-27T00:24:00-07:00",
-          "2010-02-27T00:25:00-07:00",
-          "2010-02-27T00:26:00-07:00",
-          "2010-02-27T00:27:00-07:00",
-          "2010-02-27T00:28:00-07:00",
-          "2010-02-27T00:29:00-07:00",
-          "2010-02-27T00:30:00-07:00",
-          "2010-02-27T00:31:00-07:00",
-          "2010-02-27T00:32:00-07:00",
-          "2010-02-27T00:33:00-07:00",
-          "2010-02-27T00:34:00-07:00",
-          "2010-02-27T00:35:00-07:00",
-          "2010-02-27T00:36:00-07:00",
-          "2010-02-27T00:37:00-07:00",
-          "2010-02-27T00:38:00-07:00",
-          "2010-02-27T00:39:00-07:00",
-          "2010-02-27T00:40:00-07:00",
-          "2010-02-27T00:41:00-07:00",
-          "2010-02-27T00:42:00-07:00",
-          "2010-02-27T00:43:00-07:00",
-          "2010-02-27T00:44:00-07:00",
-          "2010-02-27T00:45:00-07:00",
-          "2010-02-27T00:46:00-07:00",
-          "2010-02-27T00:47:00-07:00",
-          "2010-02-27T00:48:00-07:00",
-          "2010-02-27T00:49:00-07:00",
-          "2010-02-27T00:50:00-07:00",
-          "2010-02-27T00:51:00-07:00",
-          "2010-02-27T00:52:00-07:00",
-          "2010-02-27T00:53:00-07:00",
-          "2010-02-27T00:54:00-07:00",
-          "2010-02-27T00:55:00-07:00",
-          "2010-02-27T00:56:00-07:00",
-          "2010-02-27T00:57:00-07:00",
-          "2010-02-27T00:58:00-07:00",
-          "2010-02-27T00:59:00-07:00",
-          "2010-02-27T01:00:00-07:00",
-          "2010-02-27T01:01:00-07:00",
-          "2010-02-27T01:02:00-07:00",
-          "2010-02-27T01:03:00-07:00",
-          "2010-02-27T01:04:00-07:00",
-          "2010-02-27T01:05:00-07:00",
-          "2010-02-27T01:06:00-07:00",
-          "2010-02-27T01:07:00-07:00",
-          "2010-02-27T01:08:00-07:00",
-          "2010-02-27T01:09:00-07:00",
-          "2010-02-27T01:10:00-07:00",
-          "2010-02-27T01:11:00-07:00",
-          "2010-02-27T01:12:00-07:00",
-          "2010-02-27T01:13:00-07:00",
-          "2010-02-27T01:14:00-07:00",
-          "2010-02-27T01:15:00-07:00",
-          "2010-02-27T01:16:00-07:00",
-          "2010-02-27T01:17:00-07:00",
-          "2010-02-27T01:18:00-07:00",
-          "2010-02-27T01:19:00-07:00",
-          "2010-02-27T01:20:00-07:00",
-          "2010-02-27T01:21:00-07:00",
-          "2010-02-27T01:22:00-07:00",
-          "2010-02-27T01:23:00-07:00",
-          "2010-02-27T01:24:00-07:00",
-          "2010-02-27T01:25:00-07:00",
-          "2010-02-27T01:26:00-07:00",
-          "2010-02-27T01:27:00-07:00",
-          "2010-02-27T01:28:00-07:00",
-          "2010-02-27T01:29:00-07:00",
-          "2010-02-27T01:30:00-07:00",
-          "2010-02-27T01:31:00-07:00",
-          "2010-02-27T01:32:00-07:00",
-          "2010-02-27T01:33:00-07:00",
-          "2010-02-27T01:34:00-07:00",
-          "2010-02-27T01:35:00-07:00",
-          "2010-02-27T01:36:00-07:00",
-          "2010-02-27T01:37:00-07:00",
-          "2010-02-27T01:38:00-07:00",
-          "2010-02-27T01:39:00-07:00",
-          "2010-02-27T01:40:00-07:00",
-          "2010-02-27T01:41:00-07:00",
-          "2010-02-27T01:42:00-07:00",
-          "2010-02-27T01:43:00-07:00",
-          "2010-02-27T01:44:00-07:00",
-          "2010-02-27T01:45:00-07:00",
-          "2010-02-27T01:46:00-07:00",
-          "2010-02-27T01:47:00-07:00",
-          "2010-02-27T01:48:00-07:00",
-          "2010-02-27T01:49:00-07:00",
-          "2010-02-27T01:50:00-07:00",
-          "2010-02-27T01:51:00-07:00",
-          "2010-02-27T01:52:00-07:00",
-          "2010-02-27T01:53:00-07:00",
-          "2010-02-27T01:54:00-07:00",
-          "2010-02-27T01:55:00-07:00",
-          "2010-02-27T01:56:00-07:00",
-          "2010-02-27T01:57:00-07:00",
-          "2010-02-27T01:58:00-07:00",
-          "2010-02-27T01:59:00-07:00",
-          "2010-02-27T02:00:00-07:00",
-          "2010-02-27T02:01:00-07:00",
-          "2010-02-27T02:02:00-07:00",
-          "2010-02-27T02:03:00-07:00",
-          "2010-02-27T02:04:00-07:00",
-          "2010-02-27T02:05:00-07:00",
-          "2010-02-27T02:06:00-07:00",
-          "2010-02-27T02:07:00-07:00",
-          "2010-02-27T02:08:00-07:00",
-          "2010-02-27T02:09:00-07:00",
-          "2010-02-27T02:10:00-07:00",
-          "2010-02-27T02:11:00-07:00",
-          "2010-02-27T02:12:00-07:00",
-          "2010-02-27T02:13:00-07:00",
-          "2010-02-27T02:14:00-07:00",
-          "2010-02-27T02:15:00-07:00",
-          "2010-02-27T02:16:00-07:00",
-          "2010-02-27T02:17:00-07:00",
-          "2010-02-27T02:18:00-07:00",
-          "2010-02-27T02:19:00-07:00",
-          "2010-02-27T02:20:00-07:00",
-          "2010-02-27T02:21:00-07:00",
-          "2010-02-27T02:22:00-07:00",
-          "2010-02-27T02:23:00-07:00",
-          "2010-02-27T02:24:00-07:00",
-          "2010-02-27T02:25:00-07:00",
-          "2010-02-27T02:26:00-07:00",
-          "2010-02-27T02:27:00-07:00",
-          "2010-02-27T02:28:00-07:00",
-          "2010-02-27T02:29:00-07:00",
-          "2010-02-27T02:30:00-07:00",
-          "2010-02-27T02:31:00-07:00",
-          "2010-02-27T02:32:00-07:00",
-          "2010-02-27T02:33:00-07:00",
-          "2010-02-27T02:34:00-07:00",
-          "2010-02-27T02:35:00-07:00",
-          "2010-02-27T02:36:00-07:00",
-          "2010-02-27T02:37:00-07:00",
-          "2010-02-27T02:38:00-07:00",
-          "2010-02-27T02:39:00-07:00",
-          "2010-02-27T02:40:00-07:00",
-          "2010-02-27T02:41:00-07:00",
-          "2010-02-27T02:42:00-07:00",
-          "2010-02-27T02:43:00-07:00",
-          "2010-02-27T02:44:00-07:00",
-          "2010-02-27T02:45:00-07:00",
-          "2010-02-27T02:46:00-07:00",
-          "2010-02-27T02:47:00-07:00",
-          "2010-02-27T02:48:00-07:00",
-          "2010-02-27T02:49:00-07:00",
-          "2010-02-27T02:50:00-07:00",
-          "2010-02-27T02:51:00-07:00",
-          "2010-02-27T02:52:00-07:00",
-          "2010-02-27T02:53:00-07:00",
-          "2010-02-27T02:54:00-07:00",
-          "2010-02-27T02:55:00-07:00",
-          "2010-02-27T02:56:00-07:00",
-          "2010-02-27T02:57:00-07:00",
-          "2010-02-27T02:58:00-07:00",
-          "2010-02-27T02:59:00-07:00",
-          "2010-02-27T03:00:00-07:00",
-          "2010-02-27T03:01:00-07:00",
-          "2010-02-27T03:02:00-07:00",
-          "2010-02-27T03:03:00-07:00",
-          "2010-02-27T03:04:00-07:00",
-          "2010-02-27T03:05:00-07:00",
-          "2010-02-27T03:06:00-07:00",
-          "2010-02-27T03:07:00-07:00",
-          "2010-02-27T03:08:00-07:00",
-          "2010-02-27T03:09:00-07:00",
-          "2010-02-27T03:10:00-07:00",
-          "2010-02-27T03:11:00-07:00",
-          "2010-02-27T03:12:00-07:00",
-          "2010-02-27T03:13:00-07:00",
-          "2010-02-27T03:14:00-07:00",
-          "2010-02-27T03:15:00-07:00",
-          "2010-02-27T03:16:00-07:00",
-          "2010-02-27T03:17:00-07:00",
-          "2010-02-27T03:18:00-07:00",
-          "2010-02-27T03:19:00-07:00",
-          "2010-02-27T03:20:00-07:00",
-          "2010-02-27T03:21:00-07:00",
-          "2010-02-27T03:22:00-07:00",
-          "2010-02-27T03:23:00-07:00",
-          "2010-02-27T03:24:00-07:00",
-          "2010-02-27T03:25:00-07:00",
-          "2010-02-27T03:26:00-07:00",
-          "2010-02-27T03:27:00-07:00",
-          "2010-02-27T03:28:00-07:00",
-          "2010-02-27T03:29:00-07:00",
-          "2010-02-27T03:30:00-07:00",
-          "2010-02-27T03:31:00-07:00",
-          "2010-02-27T03:32:00-07:00",
-          "2010-02-27T03:33:00-07:00",
-          "2010-02-27T03:34:00-07:00",
-          "2010-02-27T03:35:00-07:00",
-          "2010-02-27T03:36:00-07:00",
-          "2010-02-27T03:37:00-07:00",
-          "2010-02-27T03:38:00-07:00",
-          "2010-02-27T03:39:00-07:00",
-          "2010-02-27T03:40:00-07:00",
-          "2010-02-27T03:41:00-07:00",
-          "2010-02-27T03:42:00-07:00",
-          "2010-02-27T03:43:00-07:00",
-          "2010-02-27T03:44:00-07:00",
-          "2010-02-27T03:45:00-07:00",
-          "2010-02-27T03:46:00-07:00",
-          "2010-02-27T03:47:00-07:00",
-          "2010-02-27T03:48:00-07:00",
-          "2010-02-27T03:49:00-07:00",
-          "2010-02-27T03:50:00-07:00",
-          "2010-02-27T03:51:00-07:00",
-          "2010-02-27T03:52:00-07:00",
-          "2010-02-27T03:53:00-07:00",
-          "2010-02-27T03:54:00-07:00",
-          "2010-02-27T03:55:00-07:00",
-          "2010-02-27T03:56:00-07:00",
-          "2010-02-27T03:57:00-07:00",
-          "2010-02-27T03:58:00-07:00",
-          "2010-02-27T03:59:00-07:00",
-          "2010-02-27T04:00:00-07:00",
-          "2010-02-27T04:01:00-07:00",
-          "2010-02-27T04:02:00-07:00",
-          "2010-02-27T04:03:00-07:00",
-          "2010-02-27T04:04:00-07:00",
-          "2010-02-27T04:05:00-07:00",
-          "2010-02-27T04:06:00-07:00",
-          "2010-02-27T04:07:00-07:00",
-          "2010-02-27T04:08:00-07:00",
-          "2010-02-27T04:09:00-07:00",
-          "2010-02-27T04:10:00-07:00",
-          "2010-02-27T04:11:00-07:00",
-          "2010-02-27T04:12:00-07:00",
-          "2010-02-27T04:13:00-07:00",
-          "2010-02-27T04:14:00-07:00",
-          "2010-02-27T04:15:00-07:00",
-          "2010-02-27T04:16:00-07:00",
-          "2010-02-27T04:17:00-07:00",
-          "2010-02-27T04:18:00-07:00",
-          "2010-02-27T04:19:00-07:00",
-          "2010-02-27T04:20:00-07:00",
-          "2010-02-27T04:21:00-07:00",
-          "2010-02-27T04:22:00-07:00",
-          "2010-02-27T04:23:00-07:00",
-          "2010-02-27T04:24:00-07:00",
-          "2010-02-27T04:25:00-07:00",
-          "2010-02-27T04:26:00-07:00",
-          "2010-02-27T04:27:00-07:00",
-          "2010-02-27T04:28:00-07:00",
-          "2010-02-27T04:29:00-07:00",
-          "2010-02-27T04:30:00-07:00",
-          "2010-02-27T04:31:00-07:00",
-          "2010-02-27T04:32:00-07:00",
-          "2010-02-27T04:33:00-07:00",
-          "2010-02-27T04:34:00-07:00",
-          "2010-02-27T04:35:00-07:00",
-          "2010-02-27T04:36:00-07:00",
-          "2010-02-27T04:37:00-07:00",
-          "2010-02-27T04:38:00-07:00",
-          "2010-02-27T04:39:00-07:00",
-          "2010-02-27T04:40:00-07:00",
-          "2010-02-27T04:41:00-07:00",
-          "2010-02-27T04:42:00-07:00",
-          "2010-02-27T04:43:00-07:00",
-          "2010-02-27T04:44:00-07:00",
-          "2010-02-27T04:45:00-07:00",
-          "2010-02-27T04:46:00-07:00",
-          "2010-02-27T04:47:00-07:00",
-          "2010-02-27T04:48:00-07:00",
-          "2010-02-27T04:49:00-07:00",
-          "2010-02-27T04:50:00-07:00",
-          "2010-02-27T04:51:00-07:00",
-          "2010-02-27T04:52:00-07:00",
-          "2010-02-27T04:53:00-07:00",
-          "2010-02-27T04:54:00-07:00",
-          "2010-02-27T04:55:00-07:00",
-          "2010-02-27T04:56:00-07:00",
-          "2010-02-27T04:57:00-07:00",
-          "2010-02-27T04:58:00-07:00",
-          "2010-02-27T04:59:00-07:00",
-          "2010-02-27T05:00:00-07:00",
-          "2010-02-27T05:01:00-07:00",
-          "2010-02-27T05:02:00-07:00",
-          "2010-02-27T05:03:00-07:00",
-          "2010-02-27T05:04:00-07:00",
-          "2010-02-27T05:05:00-07:00",
-          "2010-02-27T05:06:00-07:00",
-          "2010-02-27T05:07:00-07:00",
-          "2010-02-27T05:08:00-07:00",
-          "2010-02-27T05:09:00-07:00",
-          "2010-02-27T05:10:00-07:00",
-          "2010-02-27T05:11:00-07:00",
-          "2010-02-27T05:12:00-07:00",
-          "2010-02-27T05:13:00-07:00",
-          "2010-02-27T05:14:00-07:00",
-          "2010-02-27T05:15:00-07:00",
-          "2010-02-27T05:16:00-07:00",
-          "2010-02-27T05:17:00-07:00",
-          "2010-02-27T05:18:00-07:00",
-          "2010-02-27T05:19:00-07:00",
-          "2010-02-27T05:20:00-07:00",
-          "2010-02-27T05:21:00-07:00",
-          "2010-02-27T05:22:00-07:00",
-          "2010-02-27T05:23:00-07:00",
-          "2010-02-27T05:24:00-07:00",
-          "2010-02-27T05:25:00-07:00",
-          "2010-02-27T05:26:00-07:00",
-          "2010-02-27T05:27:00-07:00",
-          "2010-02-27T05:28:00-07:00",
-          "2010-02-27T05:29:00-07:00",
-          "2010-02-27T05:30:00-07:00",
-          "2010-02-27T05:31:00-07:00",
-          "2010-02-27T05:32:00-07:00",
-          "2010-02-27T05:33:00-07:00",
-          "2010-02-27T05:34:00-07:00",
-          "2010-02-27T05:35:00-07:00",
-          "2010-02-27T05:36:00-07:00",
-          "2010-02-27T05:37:00-07:00",
-          "2010-02-27T05:38:00-07:00",
-          "2010-02-27T05:39:00-07:00",
-          "2010-02-27T05:40:00-07:00",
-          "2010-02-27T05:41:00-07:00",
-          "2010-02-27T05:42:00-07:00",
-          "2010-02-27T05:43:00-07:00",
-          "2010-02-27T05:44:00-07:00",
-          "2010-02-27T05:45:00-07:00",
-          "2010-02-27T05:46:00-07:00",
-          "2010-02-27T05:47:00-07:00",
-          "2010-02-27T05:48:00-07:00",
-          "2010-02-27T05:49:00-07:00",
-          "2010-02-27T05:50:00-07:00",
-          "2010-02-27T05:51:00-07:00",
-          "2010-02-27T05:52:00-07:00",
-          "2010-02-27T05:53:00-07:00",
-          "2010-02-27T05:54:00-07:00",
-          "2010-02-27T05:55:00-07:00",
-          "2010-02-27T05:56:00-07:00",
-          "2010-02-27T05:57:00-07:00",
-          "2010-02-27T05:58:00-07:00",
-          "2010-02-27T05:59:00-07:00",
-          "2010-02-27T06:00:00-07:00",
-          "2010-02-27T06:01:00-07:00",
-          "2010-02-27T06:02:00-07:00",
-          "2010-02-27T06:03:00-07:00",
-          "2010-02-27T06:04:00-07:00",
-          "2010-02-27T06:05:00-07:00",
-          "2010-02-27T06:06:00-07:00",
-          "2010-02-27T06:07:00-07:00",
-          "2010-02-27T06:08:00-07:00",
-          "2010-02-27T06:09:00-07:00",
-          "2010-02-27T06:10:00-07:00",
-          "2010-02-27T06:11:00-07:00",
-          "2010-02-27T06:12:00-07:00",
-          "2010-02-27T06:13:00-07:00",
-          "2010-02-27T06:14:00-07:00",
-          "2010-02-27T06:15:00-07:00",
-          "2010-02-27T06:16:00-07:00",
-          "2010-02-27T06:17:00-07:00",
-          "2010-02-27T06:18:00-07:00",
-          "2010-02-27T06:19:00-07:00",
-          "2010-02-27T06:20:00-07:00",
-          "2010-02-27T06:21:00-07:00",
-          "2010-02-27T06:22:00-07:00",
-          "2010-02-27T06:23:00-07:00",
-          "2010-02-27T06:24:00-07:00",
-          "2010-02-27T06:25:00-07:00",
-          "2010-02-27T06:26:00-07:00",
-          "2010-02-27T06:27:00-07:00",
-          "2010-02-27T06:28:00-07:00",
-          "2010-02-27T06:29:00-07:00",
-          "2010-02-27T06:30:00-07:00",
-          "2010-02-27T06:31:00-07:00",
-          "2010-02-27T06:32:00-07:00",
-          "2010-02-27T06:33:00-07:00",
-          "2010-02-27T06:34:00-07:00",
-          "2010-02-27T06:35:00-07:00",
-          "2010-02-27T06:36:00-07:00",
-          "2010-02-27T06:37:00-07:00",
-          "2010-02-27T06:38:00-07:00",
-          "2010-02-27T06:39:00-07:00",
-          "2010-02-27T06:40:00-07:00",
-          "2010-02-27T06:41:00-07:00",
-          "2010-02-27T06:42:00-07:00",
-          "2010-02-27T06:43:00-07:00",
-          "2010-02-27T06:44:00-07:00",
-          "2010-02-27T06:45:00-07:00",
-          "2010-02-27T06:46:00-07:00",
-          "2010-02-27T06:47:00-07:00",
-          "2010-02-27T06:48:00-07:00",
-          "2010-02-27T06:49:00-07:00",
-          "2010-02-27T11:21:00-07:00",
-          "2010-02-27T11:22:00-07:00",
-          "2010-02-27T11:36:00-07:00",
-          "2010-02-27T11:37:00-07:00",
-          "2010-02-27T11:39:00-07:00",
-          "2010-02-27T11:42:00-07:00",
-          "2010-02-27T11:44:00-07:00",
-          "2010-02-27T11:46:00-07:00",
-          "2010-02-27T11:57:00-07:00",
-          "2010-02-27T11:58:00-07:00",
-          "2010-02-27T12:00:00-07:00",
-          "2010-02-27T12:10:00-07:00",
-          "2010-02-27T12:30:00-07:00",
-          "2010-02-27T17:24:00-07:00",
-          "2010-02-27T17:25:00-07:00",
-          "2010-02-27T17:26:00-07:00",
-          "2010-02-27T17:27:00-07:00",
-          "2010-02-27T17:28:00-07:00",
-          "2010-02-27T17:29:00-07:00",
-          "2010-02-27T17:30:00-07:00",
-          "2010-02-27T17:31:00-07:00",
-          "2010-02-27T17:32:00-07:00",
-          "2010-02-27T17:33:00-07:00",
-          "2010-02-27T17:34:00-07:00",
-          "2010-02-27T17:35:00-07:00",
-          "2010-02-27T17:36:00-07:00",
-          "2010-02-27T17:37:00-07:00",
-          "2010-02-27T17:38:00-07:00",
-          "2010-02-27T17:39:00-07:00",
-          "2010-02-27T17:40:00-07:00",
-          "2010-02-27T17:41:00-07:00",
-          "2010-02-27T17:42:00-07:00",
-          "2010-02-27T17:43:00-07:00",
-          "2010-02-27T17:44:00-07:00",
-          "2010-02-27T17:45:00-07:00",
-          "2010-02-27T17:46:00-07:00",
-          "2010-02-27T17:47:00-07:00",
-          "2010-02-27T17:48:00-07:00",
-          "2010-02-27T17:49:00-07:00",
-          "2010-02-27T17:50:00-07:00",
-          "2010-02-27T17:51:00-07:00",
-          "2010-02-27T17:52:00-07:00",
-          "2010-02-27T17:53:00-07:00",
-          "2010-02-27T17:54:00-07:00",
-          "2010-02-27T17:55:00-07:00",
-          "2010-02-27T17:56:00-07:00",
-          "2010-02-27T17:57:00-07:00",
-          "2010-02-27T17:58:00-07:00",
-          "2010-02-27T17:59:00-07:00",
-          "2010-02-27T18:00:00-07:00",
-          "2010-02-27T18:01:00-07:00",
-          "2010-02-27T18:02:00-07:00",
-          "2010-02-27T18:03:00-07:00",
-          "2010-02-27T18:04:00-07:00",
-          "2010-02-27T18:05:00-07:00",
-          "2010-02-27T18:06:00-07:00",
-          "2010-02-27T18:07:00-07:00",
-          "2010-02-27T18:08:00-07:00",
-          "2010-02-27T18:09:00-07:00",
-          "2010-02-27T18:10:00-07:00",
-          "2010-02-27T18:11:00-07:00",
-          "2010-02-27T18:12:00-07:00",
-          "2010-02-27T18:13:00-07:00",
-          "2010-02-27T18:14:00-07:00",
-          "2010-02-27T18:15:00-07:00",
-          "2010-02-27T18:16:00-07:00",
-          "2010-02-27T18:17:00-07:00",
-          "2010-02-27T18:18:00-07:00",
-          "2010-02-27T18:19:00-07:00",
-          "2010-02-27T18:20:00-07:00",
-          "2010-02-27T18:21:00-07:00",
-          "2010-02-27T18:22:00-07:00",
-          "2010-02-27T18:23:00-07:00",
-          "2010-02-27T18:24:00-07:00",
-          "2010-02-27T18:25:00-07:00",
-          "2010-02-27T18:26:00-07:00",
-          "2010-02-27T18:27:00-07:00",
-          "2010-02-27T18:28:00-07:00",
-          "2010-02-27T18:29:00-07:00",
-          "2010-02-27T18:30:00-07:00",
-          "2010-02-27T18:31:00-07:00",
-          "2010-02-27T18:32:00-07:00",
-          "2010-02-27T18:33:00-07:00",
-          "2010-02-27T18:34:00-07:00",
-          "2010-02-27T18:35:00-07:00",
-          "2010-02-27T18:36:00-07:00",
-          "2010-02-27T18:37:00-07:00",
-          "2010-02-27T18:38:00-07:00",
-          "2010-02-27T18:39:00-07:00",
-          "2010-02-27T18:40:00-07:00",
-          "2010-02-27T18:41:00-07:00",
-          "2010-02-27T18:42:00-07:00",
-          "2010-02-27T18:43:00-07:00",
-          "2010-02-27T18:44:00-07:00",
-          "2010-02-27T18:45:00-07:00",
-          "2010-02-27T18:46:00-07:00",
-          "2010-02-27T18:47:00-07:00",
-          "2010-02-27T18:48:00-07:00",
-          "2010-02-27T18:49:00-07:00",
-          "2010-02-27T18:50:00-07:00",
-          "2010-02-27T18:51:00-07:00",
-          "2010-02-27T18:52:00-07:00",
-          "2010-02-27T18:53:00-07:00",
-          "2010-02-27T18:54:00-07:00",
-          "2010-02-27T18:55:00-07:00",
-          "2010-02-27T18:56:00-07:00",
-          "2010-02-27T18:57:00-07:00",
-          "2010-02-27T18:58:00-07:00",
-          "2010-02-27T18:59:00-07:00",
-          "2010-02-27T19:00:00-07:00",
-          "2010-02-27T19:01:00-07:00",
-          "2010-02-27T19:02:00-07:00",
-          "2010-02-27T19:03:00-07:00",
-          "2010-02-27T19:04:00-07:00",
-          "2010-02-27T19:05:00-07:00",
-          "2010-02-27T19:06:00-07:00",
-          "2010-02-27T19:07:00-07:00",
-          "2010-02-27T19:08:00-07:00",
-          "2010-02-27T19:09:00-07:00",
-          "2010-02-27T19:10:00-07:00",
-          "2010-02-27T19:11:00-07:00",
-          "2010-02-27T19:12:00-07:00",
-          "2010-02-27T19:13:00-07:00",
-          "2010-02-27T19:14:00-07:00",
-          "2010-02-27T19:15:00-07:00",
-          "2010-02-27T19:16:00-07:00",
-          "2010-02-27T19:17:00-07:00",
-          "2010-02-27T19:18:00-07:00",
-          "2010-02-27T19:19:00-07:00",
-          "2010-02-27T19:20:00-07:00",
-          "2010-02-27T19:21:00-07:00",
-          "2010-02-27T19:22:00-07:00",
-          "2010-02-27T19:23:00-07:00",
-          "2010-02-27T19:24:00-07:00",
-          "2010-02-27T19:25:00-07:00",
-          "2010-02-27T19:26:00-07:00",
-          "2010-02-27T19:27:00-07:00",
-          "2010-02-27T19:28:00-07:00",
-          "2010-02-27T19:29:00-07:00",
-          "2010-02-27T19:30:00-07:00",
-          "2010-02-27T19:31:00-07:00",
-          "2010-02-27T19:32:00-07:00",
-          "2010-02-27T19:33:00-07:00",
-          "2010-02-27T19:34:00-07:00",
-          "2010-02-27T19:35:00-07:00",
-          "2010-02-27T19:36:00-07:00",
-          "2010-02-27T19:37:00-07:00",
-          "2010-02-27T19:38:00-07:00",
-          "2010-02-27T19:39:00-07:00",
-          "2010-02-27T19:40:00-07:00",
-          "2010-02-27T19:41:00-07:00",
-          "2010-02-27T19:42:00-07:00",
-          "2010-02-27T19:43:00-07:00",
-          "2010-02-27T19:44:00-07:00",
-          "2010-02-27T19:45:00-07:00",
-          "2010-02-27T19:46:00-07:00",
-          "2010-02-27T19:47:00-07:00",
-          "2010-02-27T19:48:00-07:00",
-          "2010-02-27T19:49:00-07:00",
-          "2010-02-27T19:50:00-07:00",
-          "2010-02-27T19:51:00-07:00",
-          "2010-02-27T19:52:00-07:00",
-          "2010-02-27T19:53:00-07:00",
-          "2010-02-27T19:54:00-07:00",
-          "2010-02-27T19:55:00-07:00",
-          "2010-02-27T19:56:00-07:00",
-          "2010-02-27T19:57:00-07:00",
-          "2010-02-27T19:58:00-07:00",
-          "2010-02-27T19:59:00-07:00",
-          "2010-02-27T20:00:00-07:00",
-          "2010-02-27T20:01:00-07:00",
-          "2010-02-27T20:02:00-07:00",
-          "2010-02-27T20:03:00-07:00",
-          "2010-02-27T20:04:00-07:00",
-          "2010-02-27T20:05:00-07:00",
-          "2010-02-27T20:06:00-07:00",
-          "2010-02-27T20:07:00-07:00",
-          "2010-02-27T20:08:00-07:00",
-          "2010-02-27T20:09:00-07:00",
-          "2010-02-27T20:10:00-07:00",
-          "2010-02-27T20:11:00-07:00",
-          "2010-02-27T20:12:00-07:00",
-          "2010-02-27T20:13:00-07:00",
-          "2010-02-27T20:14:00-07:00",
-          "2010-02-27T20:15:00-07:00",
-          "2010-02-27T20:16:00-07:00",
-          "2010-02-27T20:17:00-07:00",
-          "2010-02-27T20:18:00-07:00",
-          "2010-02-27T20:19:00-07:00",
-          "2010-02-27T20:20:00-07:00",
-          "2010-02-27T20:21:00-07:00",
-          "2010-02-27T20:22:00-07:00",
-          "2010-02-27T20:23:00-07:00",
-          "2010-02-27T20:24:00-07:00",
-          "2010-02-27T20:25:00-07:00",
-          "2010-02-27T20:26:00-07:00",
-          "2010-02-27T20:27:00-07:00",
-          "2010-02-27T20:28:00-07:00",
-          "2010-02-27T20:29:00-07:00",
-          "2010-02-27T20:30:00-07:00",
-          "2010-02-27T20:31:00-07:00",
-          "2010-02-27T20:32:00-07:00",
-          "2010-02-27T20:33:00-07:00",
-          "2010-02-27T20:34:00-07:00",
-          "2010-02-27T20:35:00-07:00",
-          "2010-02-27T20:36:00-07:00",
-          "2010-02-27T20:37:00-07:00",
-          "2010-02-27T20:38:00-07:00",
-          "2010-02-27T20:39:00-07:00",
-          "2010-02-27T20:40:00-07:00",
-          "2010-02-27T20:41:00-07:00",
-          "2010-02-27T20:42:00-07:00",
-          "2010-02-27T20:43:00-07:00",
-          "2010-02-27T20:44:00-07:00",
-          "2010-02-27T20:45:00-07:00",
-          "2010-02-27T20:46:00-07:00",
-          "2010-02-27T20:47:00-07:00",
-          "2010-02-27T20:48:00-07:00",
-          "2010-02-27T20:49:00-07:00",
-          "2010-02-27T20:50:00-07:00",
-          "2010-02-27T20:51:00-07:00",
-          "2010-02-27T20:52:00-07:00",
-          "2010-02-27T20:53:00-07:00",
-          "2010-02-27T20:54:00-07:00",
-          "2010-02-27T20:55:00-07:00",
-          "2010-02-27T20:56:00-07:00",
-          "2010-02-27T20:57:00-07:00",
-          "2010-02-27T20:58:00-07:00",
-          "2010-02-27T20:59:00-07:00",
-          "2010-02-27T21:00:00-07:00",
-          "2010-02-27T21:01:00-07:00",
-          "2010-02-27T21:02:00-07:00",
-          "2010-02-27T21:03:00-07:00",
-          "2010-02-27T21:04:00-07:00",
-          "2010-02-27T21:05:00-07:00",
-          "2010-02-27T21:06:00-07:00",
-          "2010-02-27T21:07:00-07:00",
-          "2010-02-27T21:08:00-07:00",
-          "2010-02-27T21:09:00-07:00",
-          "2010-02-27T21:10:00-07:00",
-          "2010-02-27T21:11:00-07:00",
-          "2010-02-27T21:12:00-07:00",
-          "2010-02-27T21:13:00-07:00",
-          "2010-02-27T21:14:00-07:00",
-          "2010-02-27T21:15:00-07:00",
-          "2010-02-27T21:16:00-07:00",
-          "2010-02-27T21:17:00-07:00",
-          "2010-02-27T21:18:00-07:00",
-          "2010-02-27T21:19:00-07:00",
-          "2010-02-27T21:20:00-07:00",
-          "2010-02-27T21:21:00-07:00",
-          "2010-02-27T21:22:00-07:00",
-          "2010-02-27T21:23:00-07:00",
-          "2010-02-27T21:24:00-07:00",
-          "2010-02-27T21:25:00-07:00",
-          "2010-02-27T21:26:00-07:00",
-          "2010-02-27T21:27:00-07:00",
-          "2010-02-27T21:28:00-07:00",
-          "2010-02-27T21:29:00-07:00",
-          "2010-02-27T21:30:00-07:00",
-          "2010-02-27T21:31:00-07:00",
-          "2010-02-27T21:32:00-07:00",
-          "2010-02-27T21:33:00-07:00",
-          "2010-02-27T21:34:00-07:00",
-          "2010-02-27T21:35:00-07:00",
-          "2010-02-27T21:36:00-07:00",
-          "2010-02-27T21:37:00-07:00",
-          "2010-02-27T21:38:00-07:00",
-          "2010-02-27T21:39:00-07:00",
-          "2010-02-27T21:40:00-07:00",
-          "2010-02-27T21:41:00-07:00",
-          "2010-02-27T21:42:00-07:00",
-          "2010-02-27T21:43:00-07:00",
-          "2010-02-27T21:44:00-07:00",
-          "2010-02-27T21:45:00-07:00",
-          "2010-02-27T21:46:00-07:00",
-          "2010-02-27T21:47:00-07:00",
-          "2010-02-27T21:48:00-07:00",
-          "2010-02-27T21:49:00-07:00",
-          "2010-02-27T21:50:00-07:00",
-          "2010-02-27T21:51:00-07:00",
-          "2010-02-27T21:52:00-07:00",
-          "2010-02-27T21:53:00-07:00",
-          "2010-02-27T21:54:00-07:00",
-          "2010-02-27T21:55:00-07:00",
-          "2010-02-27T21:56:00-07:00",
-          "2010-02-27T21:57:00-07:00",
-          "2010-02-27T21:58:00-07:00",
-          "2010-02-27T21:59:00-07:00",
-          "2010-02-27T22:00:00-07:00",
-          "2010-02-27T22:01:00-07:00",
-          "2010-02-27T22:02:00-07:00",
-          "2010-02-27T22:03:00-07:00",
-          "2010-02-27T22:04:00-07:00",
-          "2010-02-27T22:05:00-07:00",
-          "2010-02-27T22:06:00-07:00",
-          "2010-02-27T22:07:00-07:00",
-          "2010-02-27T22:08:00-07:00",
-          "2010-02-27T22:09:00-07:00",
-          "2010-02-27T22:10:00-07:00",
-          "2010-02-27T22:11:00-07:00",
-          "2010-02-27T22:12:00-07:00",
-          "2010-02-27T22:13:00-07:00",
-          "2010-02-27T22:14:00-07:00",
-          "2010-02-27T22:15:00-07:00",
-          "2010-02-27T22:16:00-07:00",
-          "2010-02-27T22:17:00-07:00",
-          "2010-02-27T22:18:00-07:00",
-          "2010-02-27T22:19:00-07:00",
-          "2010-02-27T22:20:00-07:00",
-          "2010-02-27T22:21:00-07:00",
-          "2010-02-27T22:22:00-07:00",
-          "2010-02-27T22:23:00-07:00",
-          "2010-02-27T22:24:00-07:00",
-          "2010-02-27T22:25:00-07:00",
-          "2010-02-27T22:26:00-07:00",
-          "2010-02-27T22:27:00-07:00",
-          "2010-02-27T22:28:00-07:00",
-          "2010-02-27T22:29:00-07:00",
-          "2010-02-27T22:30:00-07:00",
-          "2010-02-27T22:31:00-07:00",
-          "2010-02-27T22:32:00-07:00",
-          "2010-02-27T22:33:00-07:00",
-          "2010-02-27T22:34:00-07:00",
-          "2010-02-27T22:35:00-07:00",
-          "2010-02-27T22:36:00-07:00",
-          "2010-02-27T22:37:00-07:00",
-          "2010-02-27T22:38:00-07:00",
-          "2010-02-27T22:39:00-07:00",
-          "2010-02-27T22:40:00-07:00",
-          "2010-02-27T22:41:00-07:00",
-          "2010-02-27T22:42:00-07:00",
-          "2010-02-27T22:43:00-07:00",
-          "2010-02-27T22:44:00-07:00",
-          "2010-02-27T22:45:00-07:00",
-          "2010-02-27T22:46:00-07:00",
-          "2010-02-27T22:47:00-07:00",
-          "2010-02-27T22:48:00-07:00",
-          "2010-02-27T22:49:00-07:00",
-          "2010-02-27T22:50:00-07:00",
-          "2010-02-27T22:51:00-07:00",
-          "2010-02-27T22:52:00-07:00",
-          "2010-02-27T22:53:00-07:00",
-          "2010-02-27T22:54:00-07:00",
-          "2010-02-27T22:55:00-07:00",
-          "2010-02-27T22:56:00-07:00",
-          "2010-02-27T22:57:00-07:00",
-          "2010-02-27T22:58:00-07:00",
-          "2010-02-27T22:59:00-07:00",
-          "2010-02-27T23:00:00-07:00",
-          "2010-02-27T23:01:00-07:00",
-          "2010-02-27T23:02:00-07:00",
-          "2010-02-27T23:03:00-07:00",
-          "2010-02-27T23:04:00-07:00",
-          "2010-02-27T23:05:00-07:00",
-          "2010-02-27T23:06:00-07:00",
-          "2010-02-27T23:07:00-07:00",
-          "2010-02-27T23:08:00-07:00",
-          "2010-02-27T23:09:00-07:00",
-          "2010-02-27T23:10:00-07:00",
-          "2010-02-27T23:11:00-07:00",
-          "2010-02-27T23:12:00-07:00",
-          "2010-02-27T23:13:00-07:00",
-          "2010-02-27T23:14:00-07:00",
-          "2010-02-27T23:15:00-07:00",
-          "2010-02-27T23:16:00-07:00",
-          "2010-02-27T23:17:00-07:00",
-          "2010-02-27T23:18:00-07:00",
-          "2010-02-27T23:19:00-07:00",
-          "2010-02-27T23:20:00-07:00",
-          "2010-02-27T23:21:00-07:00",
-          "2010-02-27T23:22:00-07:00",
-          "2010-02-27T23:23:00-07:00",
-          "2010-02-27T23:24:00-07:00",
-          "2010-02-27T23:25:00-07:00",
-          "2010-02-27T23:26:00-07:00",
-          "2010-02-27T23:27:00-07:00",
-          "2010-02-27T23:28:00-07:00",
-          "2010-02-27T23:29:00-07:00",
-          "2010-02-27T23:30:00-07:00",
-          "2010-02-27T23:31:00-07:00",
-          "2010-02-27T23:32:00-07:00",
-          "2010-02-27T23:33:00-07:00",
-          "2010-02-27T23:34:00-07:00",
-          "2010-02-27T23:35:00-07:00",
-          "2010-02-27T23:36:00-07:00",
-          "2010-02-27T23:37:00-07:00",
-          "2010-02-27T23:38:00-07:00",
-          "2010-02-27T23:39:00-07:00",
-          "2010-02-27T23:40:00-07:00",
-          "2010-02-27T23:41:00-07:00",
-          "2010-02-27T23:42:00-07:00",
-          "2010-02-27T23:43:00-07:00",
-          "2010-02-27T23:44:00-07:00",
-          "2010-02-27T23:45:00-07:00",
-          "2010-02-27T23:46:00-07:00",
-          "2010-02-27T23:47:00-07:00",
-          "2010-02-27T23:48:00-07:00",
-          "2010-02-27T23:49:00-07:00",
-          "2010-02-27T23:50:00-07:00",
-          "2010-02-27T23:51:00-07:00",
-          "2010-02-27T23:52:00-07:00",
-          "2010-02-27T23:53:00-07:00",
-          "2010-02-27T23:54:00-07:00",
-          "2010-02-27T23:55:00-07:00",
-          "2010-02-27T23:56:00-07:00",
-          "2010-02-27T23:57:00-07:00",
-          "2010-02-27T23:58:00-07:00",
-          "2010-02-27T23:59:00-07:00",
-          "2010-02-28T00:00:00-07:00",
-          "2010-02-28T00:01:00-07:00",
-          "2010-02-28T00:02:00-07:00",
-          "2010-02-28T00:03:00-07:00",
-          "2010-02-28T00:04:00-07:00",
-          "2010-02-28T00:05:00-07:00",
-          "2010-02-28T00:06:00-07:00",
-          "2010-02-28T00:07:00-07:00",
-          "2010-02-28T00:08:00-07:00",
-          "2010-02-28T00:09:00-07:00",
-          "2010-02-28T00:10:00-07:00",
-          "2010-02-28T00:11:00-07:00",
-          "2010-02-28T00:12:00-07:00",
-          "2010-02-28T00:13:00-07:00",
-          "2010-02-28T00:14:00-07:00",
-          "2010-02-28T00:15:00-07:00",
-          "2010-02-28T00:16:00-07:00",
-          "2010-02-28T00:17:00-07:00",
-          "2010-02-28T00:18:00-07:00",
-          "2010-02-28T00:19:00-07:00",
-          "2010-02-28T00:20:00-07:00",
-          "2010-02-28T00:21:00-07:00",
-          "2010-02-28T00:22:00-07:00",
-          "2010-02-28T00:23:00-07:00",
-          "2010-02-28T00:24:00-07:00",
-          "2010-02-28T00:25:00-07:00",
-          "2010-02-28T00:26:00-07:00",
-          "2010-02-28T00:27:00-07:00",
-          "2010-02-28T00:28:00-07:00",
-          "2010-02-28T00:29:00-07:00",
-          "2010-02-28T00:30:00-07:00",
-          "2010-02-28T00:31:00-07:00",
-          "2010-02-28T00:32:00-07:00",
-          "2010-02-28T00:33:00-07:00",
-          "2010-02-28T00:34:00-07:00",
-          "2010-02-28T00:35:00-07:00",
-          "2010-02-28T00:36:00-07:00",
-          "2010-02-28T00:37:00-07:00",
-          "2010-02-28T00:38:00-07:00",
-          "2010-02-28T00:39:00-07:00",
-          "2010-02-28T00:40:00-07:00",
-          "2010-02-28T00:41:00-07:00",
-          "2010-02-28T00:42:00-07:00",
-          "2010-02-28T00:43:00-07:00",
-          "2010-02-28T00:44:00-07:00",
-          "2010-02-28T00:45:00-07:00",
-          "2010-02-28T00:46:00-07:00",
-          "2010-02-28T00:47:00-07:00",
-          "2010-02-28T00:48:00-07:00",
-          "2010-02-28T00:49:00-07:00",
-          "2010-02-28T00:50:00-07:00",
-          "2010-02-28T00:51:00-07:00",
-          "2010-02-28T00:52:00-07:00",
-          "2010-02-28T00:53:00-07:00",
-          "2010-02-28T00:54:00-07:00",
-          "2010-02-28T00:55:00-07:00",
-          "2010-02-28T00:56:00-07:00",
-          "2010-02-28T00:57:00-07:00",
-          "2010-02-28T00:58:00-07:00",
-          "2010-02-28T00:59:00-07:00",
-          "2010-02-28T01:00:00-07:00",
-          "2010-02-28T01:01:00-07:00",
-          "2010-02-28T01:02:00-07:00",
-          "2010-02-28T01:03:00-07:00",
-          "2010-02-28T01:04:00-07:00",
-          "2010-02-28T01:05:00-07:00",
-          "2010-02-28T01:06:00-07:00",
-          "2010-02-28T01:07:00-07:00",
-          "2010-02-28T01:08:00-07:00",
-          "2010-02-28T01:09:00-07:00",
-          "2010-02-28T01:10:00-07:00",
-          "2010-02-28T01:11:00-07:00",
-          "2010-02-28T01:12:00-07:00",
-          "2010-02-28T01:13:00-07:00",
-          "2010-02-28T01:14:00-07:00",
-          "2010-02-28T01:15:00-07:00",
-          "2010-02-28T01:16:00-07:00",
-          "2010-02-28T01:17:00-07:00",
-          "2010-02-28T01:18:00-07:00",
-          "2010-02-28T01:19:00-07:00",
-          "2010-02-28T01:20:00-07:00",
-          "2010-02-28T01:21:00-07:00",
-          "2010-02-28T01:22:00-07:00",
-          "2010-02-28T01:23:00-07:00",
-          "2010-02-28T01:24:00-07:00",
-          "2010-02-28T01:25:00-07:00",
-          "2010-02-28T01:26:00-07:00",
-          "2010-02-28T01:27:00-07:00",
-          "2010-02-28T01:28:00-07:00",
-          "2010-02-28T01:29:00-07:00",
-          "2010-02-28T01:30:00-07:00",
-          "2010-02-28T01:31:00-07:00",
-          "2010-02-28T01:32:00-07:00",
-          "2010-02-28T01:33:00-07:00",
-          "2010-02-28T01:34:00-07:00",
-          "2010-02-28T01:35:00-07:00",
-          "2010-02-28T01:36:00-07:00",
-          "2010-02-28T01:37:00-07:00",
-          "2010-02-28T01:38:00-07:00",
-          "2010-02-28T01:39:00-07:00",
-          "2010-02-28T01:40:00-07:00",
-          "2010-02-28T01:41:00-07:00",
-          "2010-02-28T01:42:00-07:00",
-          "2010-02-28T01:43:00-07:00",
-          "2010-02-28T01:44:00-07:00",
-          "2010-02-28T01:45:00-07:00",
-          "2010-02-28T01:46:00-07:00",
-          "2010-02-28T01:47:00-07:00",
-          "2010-02-28T01:48:00-07:00",
-          "2010-02-28T01:49:00-07:00",
-          "2010-02-28T01:50:00-07:00",
-          "2010-02-28T01:51:00-07:00",
-          "2010-02-28T01:52:00-07:00",
-          "2010-02-28T01:53:00-07:00",
-          "2010-02-28T01:54:00-07:00",
-          "2010-02-28T01:55:00-07:00",
-          "2010-02-28T01:56:00-07:00",
-          "2010-02-28T01:57:00-07:00",
-          "2010-02-28T01:58:00-07:00",
-          "2010-02-28T01:59:00-07:00",
-          "2010-02-28T02:00:00-07:00",
-          "2010-02-28T02:01:00-07:00",
-          "2010-02-28T02:02:00-07:00",
-          "2010-02-28T02:03:00-07:00",
-          "2010-02-28T02:04:00-07:00",
-          "2010-02-28T02:05:00-07:00",
-          "2010-02-28T02:06:00-07:00",
-          "2010-02-28T02:07:00-07:00",
-          "2010-02-28T02:08:00-07:00",
-          "2010-02-28T02:09:00-07:00",
-          "2010-02-28T02:10:00-07:00",
-          "2010-02-28T02:11:00-07:00",
-          "2010-02-28T02:12:00-07:00",
-          "2010-02-28T02:13:00-07:00",
-          "2010-02-28T02:14:00-07:00",
-          "2010-02-28T02:15:00-07:00",
-          "2010-02-28T02:16:00-07:00",
-          "2010-02-28T02:17:00-07:00",
-          "2010-02-28T02:18:00-07:00",
-          "2010-02-28T02:19:00-07:00",
-          "2010-02-28T02:20:00-07:00",
-          "2010-02-28T02:21:00-07:00",
-          "2010-02-28T02:22:00-07:00",
-          "2010-02-28T02:23:00-07:00",
-          "2010-02-28T02:24:00-07:00",
-          "2010-02-28T02:25:00-07:00",
-          "2010-02-28T02:26:00-07:00",
-          "2010-02-28T02:27:00-07:00",
-          "2010-02-28T02:28:00-07:00",
-          "2010-02-28T02:29:00-07:00",
-          "2010-02-28T02:30:00-07:00",
-          "2010-02-28T02:31:00-07:00",
-          "2010-02-28T02:32:00-07:00",
-          "2010-02-28T02:33:00-07:00",
-          "2010-02-28T02:34:00-07:00",
-          "2010-02-28T02:35:00-07:00",
-          "2010-02-28T02:36:00-07:00",
-          "2010-02-28T02:37:00-07:00",
-          "2010-02-28T02:38:00-07:00",
-          "2010-02-28T02:39:00-07:00",
-          "2010-02-28T02:40:00-07:00",
-          "2010-02-28T02:41:00-07:00",
-          "2010-02-28T02:42:00-07:00",
-          "2010-02-28T02:43:00-07:00",
-          "2010-02-28T02:44:00-07:00",
-          "2010-02-28T02:45:00-07:00",
-          "2010-02-28T02:46:00-07:00",
-          "2010-02-28T02:47:00-07:00",
-          "2010-02-28T02:48:00-07:00",
-          "2010-02-28T02:49:00-07:00",
-          "2010-02-28T02:50:00-07:00",
-          "2010-02-28T02:51:00-07:00",
-          "2010-02-28T02:52:00-07:00",
-          "2010-02-28T02:53:00-07:00",
-          "2010-02-28T02:54:00-07:00",
-          "2010-02-28T02:55:00-07:00",
-          "2010-02-28T02:56:00-07:00",
-          "2010-02-28T02:57:00-07:00",
-          "2010-02-28T02:58:00-07:00",
-          "2010-02-28T02:59:00-07:00",
-          "2010-02-28T03:00:00-07:00",
-          "2010-02-28T03:01:00-07:00",
-          "2010-02-28T03:02:00-07:00",
-          "2010-02-28T03:03:00-07:00",
-          "2010-02-28T03:04:00-07:00",
-          "2010-02-28T03:05:00-07:00",
-          "2010-02-28T03:06:00-07:00",
-          "2010-02-28T03:07:00-07:00",
-          "2010-02-28T03:08:00-07:00",
-          "2010-02-28T03:09:00-07:00",
-          "2010-02-28T03:10:00-07:00",
-          "2010-02-28T03:11:00-07:00",
-          "2010-02-28T03:12:00-07:00",
-          "2010-02-28T03:13:00-07:00",
-          "2010-02-28T03:14:00-07:00",
-          "2010-02-28T03:15:00-07:00",
-          "2010-02-28T03:16:00-07:00",
-          "2010-02-28T03:17:00-07:00",
-          "2010-02-28T03:18:00-07:00",
-          "2010-02-28T03:19:00-07:00",
-          "2010-02-28T03:20:00-07:00",
-          "2010-02-28T03:21:00-07:00",
-          "2010-02-28T03:22:00-07:00",
-          "2010-02-28T03:23:00-07:00",
-          "2010-02-28T03:24:00-07:00",
-          "2010-02-28T03:25:00-07:00",
-          "2010-02-28T03:26:00-07:00",
-          "2010-02-28T03:27:00-07:00",
-          "2010-02-28T03:28:00-07:00",
-          "2010-02-28T03:29:00-07:00",
-          "2010-02-28T03:30:00-07:00",
-          "2010-02-28T03:31:00-07:00",
-          "2010-02-28T03:32:00-07:00",
-          "2010-02-28T03:33:00-07:00",
-          "2010-02-28T03:34:00-07:00",
-          "2010-02-28T03:35:00-07:00",
-          "2010-02-28T03:36:00-07:00",
-          "2010-02-28T03:37:00-07:00",
-          "2010-02-28T03:38:00-07:00",
-          "2010-02-28T03:39:00-07:00",
-          "2010-02-28T03:40:00-07:00",
-          "2010-02-28T03:41:00-07:00",
-          "2010-02-28T03:42:00-07:00",
-          "2010-02-28T03:43:00-07:00",
-          "2010-02-28T03:44:00-07:00",
-          "2010-02-28T03:45:00-07:00",
-          "2010-02-28T03:46:00-07:00",
-          "2010-02-28T03:47:00-07:00",
-          "2010-02-28T03:48:00-07:00",
-          "2010-02-28T03:49:00-07:00",
-          "2010-02-28T03:50:00-07:00",
-          "2010-02-28T03:51:00-07:00",
-          "2010-02-28T03:52:00-07:00",
-          "2010-02-28T03:53:00-07:00",
-          "2010-02-28T03:54:00-07:00",
-          "2010-02-28T03:55:00-07:00",
-          "2010-02-28T03:56:00-07:00",
-          "2010-02-28T03:57:00-07:00",
-          "2010-02-28T03:58:00-07:00",
-          "2010-02-28T03:59:00-07:00",
-          "2010-02-28T04:00:00-07:00",
-          "2010-02-28T04:01:00-07:00",
-          "2010-02-28T04:02:00-07:00",
-          "2010-02-28T04:03:00-07:00",
-          "2010-02-28T04:04:00-07:00",
-          "2010-02-28T04:05:00-07:00",
-          "2010-02-28T04:06:00-07:00",
-          "2010-02-28T04:07:00-07:00",
-          "2010-02-28T04:08:00-07:00",
-          "2010-02-28T04:09:00-07:00",
-          "2010-02-28T04:10:00-07:00",
-          "2010-02-28T04:11:00-07:00",
-          "2010-02-28T04:12:00-07:00",
-          "2010-02-28T04:13:00-07:00",
-          "2010-02-28T04:14:00-07:00",
-          "2010-02-28T04:15:00-07:00",
-          "2010-02-28T04:16:00-07:00",
-          "2010-02-28T04:17:00-07:00",
-          "2010-02-28T04:18:00-07:00",
-          "2010-02-28T04:19:00-07:00",
-          "2010-02-28T04:20:00-07:00",
-          "2010-02-28T04:21:00-07:00",
-          "2010-02-28T04:22:00-07:00",
-          "2010-02-28T04:23:00-07:00",
-          "2010-02-28T04:24:00-07:00",
-          "2010-02-28T04:25:00-07:00",
-          "2010-02-28T04:26:00-07:00",
-          "2010-02-28T04:27:00-07:00",
-          "2010-02-28T04:28:00-07:00",
-          "2010-02-28T04:29:00-07:00",
-          "2010-02-28T04:30:00-07:00",
-          "2010-02-28T04:31:00-07:00",
-          "2010-02-28T04:32:00-07:00",
-          "2010-02-28T04:33:00-07:00",
-          "2010-02-28T04:34:00-07:00",
-          "2010-02-28T04:35:00-07:00",
-          "2010-02-28T04:36:00-07:00",
-          "2010-02-28T04:37:00-07:00",
-          "2010-02-28T04:38:00-07:00",
-          "2010-02-28T04:39:00-07:00",
-          "2010-02-28T04:40:00-07:00",
-          "2010-02-28T04:41:00-07:00",
-          "2010-02-28T04:42:00-07:00",
-          "2010-02-28T04:43:00-07:00",
-          "2010-02-28T04:44:00-07:00",
-          "2010-02-28T04:45:00-07:00",
-          "2010-02-28T04:46:00-07:00",
-          "2010-02-28T04:47:00-07:00",
-          "2010-02-28T04:48:00-07:00",
-          "2010-02-28T04:49:00-07:00",
-          "2010-02-28T04:50:00-07:00",
-          "2010-02-28T04:51:00-07:00",
-          "2010-02-28T04:52:00-07:00",
-          "2010-02-28T04:53:00-07:00",
-          "2010-02-28T04:54:00-07:00",
-          "2010-02-28T04:55:00-07:00",
-          "2010-02-28T04:56:00-07:00",
-          "2010-02-28T04:57:00-07:00",
-          "2010-02-28T04:58:00-07:00",
-          "2010-02-28T04:59:00-07:00",
-          "2010-02-28T05:00:00-07:00",
-          "2010-02-28T05:01:00-07:00",
-          "2010-02-28T05:02:00-07:00",
-          "2010-02-28T05:03:00-07:00",
-          "2010-02-28T05:04:00-07:00",
-          "2010-02-28T05:05:00-07:00",
-          "2010-02-28T05:06:00-07:00",
-          "2010-02-28T05:07:00-07:00",
-          "2010-02-28T05:08:00-07:00",
-          "2010-02-28T05:09:00-07:00",
-          "2010-02-28T05:10:00-07:00",
-          "2010-02-28T05:11:00-07:00",
-          "2010-02-28T05:12:00-07:00",
-          "2010-02-28T05:13:00-07:00",
-          "2010-02-28T05:14:00-07:00",
-          "2010-02-28T05:15:00-07:00",
-          "2010-02-28T05:16:00-07:00",
-          "2010-02-28T05:17:00-07:00",
-          "2010-02-28T05:18:00-07:00",
-          "2010-02-28T05:19:00-07:00",
-          "2010-02-28T05:20:00-07:00",
-          "2010-02-28T05:21:00-07:00",
-          "2010-02-28T05:22:00-07:00",
-          "2010-02-28T05:23:00-07:00",
-          "2010-02-28T05:24:00-07:00",
-          "2010-02-28T05:25:00-07:00",
-          "2010-02-28T05:26:00-07:00",
-          "2010-02-28T05:27:00-07:00",
-          "2010-02-28T05:28:00-07:00",
-          "2010-02-28T05:29:00-07:00",
-          "2010-02-28T05:30:00-07:00",
-          "2010-02-28T05:31:00-07:00",
-          "2010-02-28T05:32:00-07:00",
-          "2010-02-28T05:33:00-07:00",
-          "2010-02-28T05:34:00-07:00",
-          "2010-02-28T05:35:00-07:00",
-          "2010-02-28T05:36:00-07:00",
-          "2010-02-28T05:37:00-07:00",
-          "2010-02-28T05:38:00-07:00",
-          "2010-02-28T05:39:00-07:00",
-          "2010-02-28T05:40:00-07:00",
-          "2010-02-28T05:41:00-07:00",
-          "2010-02-28T05:42:00-07:00",
-          "2010-02-28T05:43:00-07:00",
-          "2010-02-28T05:44:00-07:00",
-          "2010-02-28T05:45:00-07:00",
-          "2010-02-28T05:46:00-07:00",
-          "2010-02-28T05:47:00-07:00",
-          "2010-02-28T05:48:00-07:00",
-          "2010-02-28T05:49:00-07:00",
-          "2010-02-28T05:50:00-07:00",
-          "2010-02-28T05:51:00-07:00",
-          "2010-02-28T05:52:00-07:00",
-          "2010-02-28T05:53:00-07:00",
-          "2010-02-28T05:54:00-07:00",
-          "2010-02-28T05:55:00-07:00",
-          "2010-02-28T05:56:00-07:00",
-          "2010-02-28T05:57:00-07:00",
-          "2010-02-28T05:58:00-07:00",
-          "2010-02-28T05:59:00-07:00",
-          "2010-02-28T06:00:00-07:00",
-          "2010-02-28T06:01:00-07:00",
-          "2010-02-28T06:02:00-07:00",
-          "2010-02-28T06:03:00-07:00",
-          "2010-02-28T06:04:00-07:00",
-          "2010-02-28T06:05:00-07:00",
-          "2010-02-28T06:06:00-07:00",
-          "2010-02-28T06:07:00-07:00",
-          "2010-02-28T06:08:00-07:00",
-          "2010-02-28T06:09:00-07:00",
-          "2010-02-28T06:10:00-07:00",
-          "2010-02-28T06:11:00-07:00",
-          "2010-02-28T06:12:00-07:00",
-          "2010-02-28T06:13:00-07:00",
-          "2010-02-28T06:14:00-07:00",
-          "2010-02-28T06:15:00-07:00",
-          "2010-02-28T06:16:00-07:00",
-          "2010-02-28T06:17:00-07:00",
-          "2010-02-28T06:18:00-07:00",
-          "2010-02-28T06:19:00-07:00",
-          "2010-02-28T06:20:00-07:00",
-          "2010-02-28T06:21:00-07:00",
-          "2010-02-28T06:22:00-07:00",
-          "2010-02-28T06:23:00-07:00",
-          "2010-02-28T06:24:00-07:00",
-          "2010-02-28T06:25:00-07:00",
-          "2010-02-28T06:26:00-07:00",
-          "2010-02-28T06:27:00-07:00",
-          "2010-02-28T06:28:00-07:00",
-          "2010-02-28T06:29:00-07:00",
-          "2010-02-28T06:30:00-07:00",
-          "2010-02-28T06:31:00-07:00",
-          "2010-02-28T06:32:00-07:00",
-          "2010-02-28T06:33:00-07:00",
-          "2010-02-28T06:34:00-07:00",
-          "2010-02-28T06:35:00-07:00",
-          "2010-02-28T06:36:00-07:00",
-          "2010-02-28T06:37:00-07:00",
-          "2010-02-28T06:38:00-07:00",
-          "2010-02-28T06:39:00-07:00",
-          "2010-02-28T06:40:00-07:00",
-          "2010-02-28T06:41:00-07:00",
-          "2010-02-28T06:42:00-07:00",
-          "2010-02-28T06:43:00-07:00",
-          "2010-02-28T06:44:00-07:00",
-          "2010-02-28T06:45:00-07:00",
-          "2010-02-28T06:46:00-07:00",
-          "2010-02-28T06:47:00-07:00",
-          "2010-02-28T06:48:00-07:00",
-          "2010-02-28T06:49:00-07:00",
-          "2010-02-28T06:50:00-07:00",
-          "2010-02-28T06:51:00-07:00",
-          "2010-02-28T06:52:00-07:00",
-          "2010-02-28T06:53:00-07:00",
-          "2010-02-28T06:54:00-07:00",
-          "2010-02-28T06:55:00-07:00",
-          "2010-02-28T06:56:00-07:00",
-          "2010-02-28T06:57:00-07:00",
-          "2010-02-28T06:58:00-07:00",
-          "2010-02-28T06:59:00-07:00",
-          "2010-02-28T07:00:00-07:00",
-          "2010-02-28T07:01:00-07:00",
-          "2010-02-28T07:02:00-07:00",
-          "2010-02-28T07:03:00-07:00",
-          "2010-02-28T07:04:00-07:00",
-          "2010-02-28T07:05:00-07:00",
-          "2010-02-28T07:06:00-07:00",
-          "2010-02-28T07:07:00-07:00",
-          "2010-02-28T07:11:00-07:00",
-          "2010-02-28T07:12:00-07:00",
-          "2010-02-28T11:04:00-07:00",
-          "2010-02-28T11:06:00-07:00",
-          "2010-02-28T11:11:00-07:00",
-          "2010-02-28T11:17:00-07:00",
-          "2010-02-28T11:32:00-07:00",
-          "2010-02-28T11:41:00-07:00",
-          "2010-02-28T11:45:00-07:00",
-          "2010-02-28T11:46:00-07:00",
-          "2010-02-28T11:49:00-07:00",
-          "2010-02-28T12:00:00-07:00",
-          "2010-02-28T12:01:00-07:00",
-          "2010-02-28T12:05:00-07:00",
-          "2010-02-28T12:06:00-07:00",
-          "2010-02-28T12:08:00-07:00",
-          "2010-02-28T12:09:00-07:00",
-          "2010-02-28T12:10:00-07:00",
-          "2010-02-28T12:12:00-07:00",
-          "2010-02-28T12:13:00-07:00",
-          "2010-02-28T12:14:00-07:00",
-          "2010-02-28T12:15:00-07:00",
-          "2010-02-28T12:18:00-07:00",
-          "2010-02-28T12:19:00-07:00",
-          "2010-02-28T12:25:00-07:00",
-          "2010-02-28T12:26:00-07:00",
-          "2010-02-28T12:29:00-07:00",
-          "2010-02-28T12:30:00-07:00",
-          "2010-02-28T12:33:00-07:00",
-          "2010-02-28T12:34:00-07:00",
-          "2010-02-28T12:35:00-07:00",
-          "2010-02-28T12:37:00-07:00",
-          "2010-02-28T12:38:00-07:00",
-          "2010-02-28T12:42:00-07:00",
-          "2010-02-28T12:43:00-07:00",
-          "2010-02-28T12:44:00-07:00",
-          "2010-02-28T12:47:00-07:00",
-          "2010-02-28T12:50:00-07:00",
-          "2010-02-28T12:51:00-07:00",
-          "2010-02-28T12:52:00-07:00",
-          "2010-02-28T12:54:00-07:00",
-          "2010-02-28T12:59:00-07:00",
-          "2010-02-28T13:01:00-07:00",
-          "2010-02-28T13:04:00-07:00",
-          "2010-02-28T13:05:00-07:00",
-          "2010-02-28T13:07:00-07:00",
-          "2010-02-28T13:08:00-07:00",
-          "2010-02-28T13:09:00-07:00",
-          "2010-02-28T13:10:00-07:00",
-          "2010-02-28T13:12:00-07:00",
-          "2010-02-28T13:15:00-07:00",
-          "2010-02-28T13:16:00-07:00",
-          "2010-02-28T13:17:00-07:00",
-          "2010-02-28T13:18:00-07:00",
-          "2010-02-28T13:21:00-07:00",
-          "2010-02-28T13:23:00-07:00",
-          "2010-02-28T13:25:00-07:00",
-          "2010-02-28T13:26:00-07:00",
-          "2010-02-28T16:32:00-07:00",
-          "2010-02-28T16:33:00-07:00",
-          "2010-02-28T16:34:00-07:00",
-          "2010-02-28T16:36:00-07:00",
-          "2010-02-28T16:37:00-07:00",
-          "2010-02-28T16:38:00-07:00",
-          "2010-02-28T16:39:00-07:00",
-          "2010-02-28T16:40:00-07:00",
-          "2010-02-28T16:41:00-07:00",
-          "2010-02-28T16:42:00-07:00",
-          "2010-02-28T16:43:00-07:00",
-          "2010-02-28T16:44:00-07:00",
-          "2010-02-28T16:45:00-07:00",
-          "2010-02-28T16:46:00-07:00",
-          "2010-02-28T16:47:00-07:00",
-          "2010-02-28T16:48:00-07:00",
-          "2010-02-28T16:49:00-07:00",
-          "2010-02-28T16:50:00-07:00",
-          "2010-02-28T16:51:00-07:00",
-          "2010-02-28T16:52:00-07:00",
-          "2010-02-28T16:53:00-07:00",
-          "2010-02-28T16:54:00-07:00",
-          "2010-02-28T16:55:00-07:00",
-          "2010-02-28T16:56:00-07:00",
-          "2010-02-28T16:57:00-07:00",
-          "2010-02-28T16:58:00-07:00",
-          "2010-02-28T16:59:00-07:00",
-          "2010-02-28T17:00:00-07:00",
-          "2010-02-28T17:01:00-07:00",
-          "2010-02-28T17:02:00-07:00",
-          "2010-02-28T17:03:00-07:00",
-          "2010-02-28T17:04:00-07:00",
-          "2010-02-28T17:05:00-07:00",
-          "2010-02-28T17:06:00-07:00",
-          "2010-02-28T17:07:00-07:00",
-          "2010-02-28T17:08:00-07:00",
-          "2010-02-28T17:09:00-07:00",
-          "2010-02-28T17:10:00-07:00",
-          "2010-02-28T17:11:00-07:00",
-          "2010-02-28T17:12:00-07:00",
-          "2010-02-28T17:13:00-07:00",
-          "2010-02-28T17:14:00-07:00",
-          "2010-02-28T17:15:00-07:00",
-          "2010-02-28T17:16:00-07:00",
-          "2010-02-28T17:17:00-07:00",
-          "2010-02-28T17:18:00-07:00",
-          "2010-02-28T17:19:00-07:00",
-          "2010-02-28T17:20:00-07:00",
-          "2010-02-28T17:21:00-07:00",
-          "2010-02-28T17:22:00-07:00",
-          "2010-02-28T17:23:00-07:00",
-          "2010-02-28T17:24:00-07:00",
-          "2010-02-28T17:25:00-07:00",
-          "2010-02-28T17:26:00-07:00",
-          "2010-02-28T17:27:00-07:00",
-          "2010-02-28T17:28:00-07:00",
-          "2010-02-28T17:29:00-07:00",
-          "2010-02-28T17:30:00-07:00",
-          "2010-02-28T17:31:00-07:00",
-          "2010-02-28T17:32:00-07:00",
-          "2010-02-28T17:33:00-07:00",
-          "2010-02-28T17:34:00-07:00",
-          "2010-02-28T17:35:00-07:00",
-          "2010-02-28T17:36:00-07:00",
-          "2010-02-28T17:37:00-07:00",
-          "2010-02-28T17:38:00-07:00",
-          "2010-02-28T17:39:00-07:00",
-          "2010-02-28T17:40:00-07:00",
-          "2010-02-28T17:41:00-07:00",
-          "2010-02-28T17:42:00-07:00",
-          "2010-02-28T17:43:00-07:00",
-          "2010-02-28T17:44:00-07:00",
-          "2010-02-28T17:45:00-07:00",
-          "2010-02-28T17:46:00-07:00",
-          "2010-02-28T17:47:00-07:00",
-          "2010-02-28T17:48:00-07:00",
-          "2010-02-28T17:49:00-07:00",
-          "2010-02-28T17:50:00-07:00",
-          "2010-02-28T17:51:00-07:00",
-          "2010-02-28T17:52:00-07:00",
-          "2010-02-28T17:53:00-07:00",
-          "2010-02-28T17:54:00-07:00",
-          "2010-02-28T17:55:00-07:00",
-          "2010-02-28T17:56:00-07:00",
-          "2010-02-28T17:57:00-07:00",
-          "2010-02-28T17:58:00-07:00",
-          "2010-02-28T17:59:00-07:00",
-          "2010-02-28T18:00:00-07:00",
-          "2010-02-28T18:01:00-07:00",
-          "2010-02-28T18:02:00-07:00",
-          "2010-02-28T18:03:00-07:00",
-          "2010-02-28T18:04:00-07:00",
-          "2010-02-28T18:05:00-07:00",
-          "2010-02-28T18:06:00-07:00",
-          "2010-02-28T18:07:00-07:00",
-          "2010-02-28T18:08:00-07:00",
-          "2010-02-28T18:09:00-07:00",
-          "2010-02-28T18:10:00-07:00",
-          "2010-02-28T18:11:00-07:00",
-          "2010-02-28T18:12:00-07:00",
-          "2010-02-28T18:13:00-07:00",
-          "2010-02-28T18:14:00-07:00",
-          "2010-02-28T18:15:00-07:00",
-          "2010-02-28T18:16:00-07:00",
-          "2010-02-28T18:17:00-07:00",
-          "2010-02-28T18:18:00-07:00",
-          "2010-02-28T18:19:00-07:00",
-          "2010-02-28T18:20:00-07:00",
-          "2010-02-28T18:21:00-07:00",
-          "2010-02-28T18:22:00-07:00",
-          "2010-02-28T18:23:00-07:00",
-          "2010-02-28T18:24:00-07:00",
-          "2010-02-28T18:25:00-07:00",
-          "2010-02-28T18:26:00-07:00",
-          "2010-02-28T18:27:00-07:00",
-          "2010-02-28T18:28:00-07:00",
-          "2010-02-28T18:29:00-07:00",
-          "2010-02-28T18:30:00-07:00",
-          "2010-02-28T18:31:00-07:00",
-          "2010-02-28T18:32:00-07:00",
-          "2010-02-28T18:33:00-07:00",
-          "2010-02-28T18:34:00-07:00",
-          "2010-02-28T18:35:00-07:00",
-          "2010-02-28T18:36:00-07:00",
-          "2010-02-28T18:37:00-07:00",
-          "2010-02-28T18:38:00-07:00",
-          "2010-02-28T18:39:00-07:00",
-          "2010-02-28T18:40:00-07:00",
-          "2010-02-28T18:41:00-07:00",
-          "2010-02-28T18:42:00-07:00",
-          "2010-02-28T18:43:00-07:00",
-          "2010-02-28T18:44:00-07:00",
-          "2010-02-28T18:45:00-07:00",
-          "2010-02-28T18:46:00-07:00",
-          "2010-02-28T18:47:00-07:00",
-          "2010-02-28T18:48:00-07:00",
-          "2010-02-28T18:49:00-07:00",
-          "2010-02-28T18:50:00-07:00",
-          "2010-02-28T18:51:00-07:00",
-          "2010-02-28T18:52:00-07:00",
-          "2010-02-28T18:53:00-07:00",
-          "2010-02-28T18:54:00-07:00",
-          "2010-02-28T18:55:00-07:00",
-          "2010-02-28T18:56:00-07:00",
-          "2010-02-28T18:57:00-07:00",
-          "2010-02-28T18:58:00-07:00",
-          "2010-02-28T18:59:00-07:00",
-          "2010-02-28T19:00:00-07:00",
-          "2010-02-28T19:01:00-07:00",
-          "2010-02-28T19:02:00-07:00",
-          "2010-02-28T19:03:00-07:00",
-          "2010-02-28T19:04:00-07:00",
-          "2010-02-28T19:05:00-07:00",
-          "2010-02-28T19:06:00-07:00",
-          "2010-02-28T19:07:00-07:00",
-          "2010-02-28T19:08:00-07:00",
-          "2010-02-28T19:09:00-07:00",
-          "2010-02-28T19:10:00-07:00",
-          "2010-02-28T19:11:00-07:00",
-          "2010-02-28T19:12:00-07:00",
-          "2010-02-28T19:13:00-07:00",
-          "2010-02-28T19:14:00-07:00",
-          "2010-02-28T19:15:00-07:00",
-          "2010-02-28T19:16:00-07:00",
-          "2010-02-28T19:17:00-07:00",
-          "2010-02-28T19:18:00-07:00",
-          "2010-02-28T19:19:00-07:00",
-          "2010-02-28T19:20:00-07:00",
-          "2010-02-28T19:21:00-07:00",
-          "2010-02-28T19:22:00-07:00",
-          "2010-02-28T19:23:00-07:00",
-          "2010-02-28T19:24:00-07:00",
-          "2010-02-28T19:25:00-07:00",
-          "2010-02-28T19:26:00-07:00",
-          "2010-02-28T19:27:00-07:00",
-          "2010-02-28T19:28:00-07:00",
-          "2010-02-28T19:29:00-07:00",
-          "2010-02-28T19:30:00-07:00",
-          "2010-02-28T19:31:00-07:00",
-          "2010-02-28T19:32:00-07:00",
-          "2010-02-28T19:33:00-07:00",
-          "2010-02-28T19:34:00-07:00",
-          "2010-02-28T19:35:00-07:00",
-          "2010-02-28T19:36:00-07:00",
-          "2010-02-28T19:37:00-07:00",
-          "2010-02-28T19:38:00-07:00",
-          "2010-02-28T19:39:00-07:00",
-          "2010-02-28T19:40:00-07:00",
-          "2010-02-28T19:41:00-07:00",
-          "2010-02-28T19:42:00-07:00",
-          "2010-02-28T19:43:00-07:00",
-          "2010-02-28T19:44:00-07:00",
-          "2010-02-28T19:45:00-07:00",
-          "2010-02-28T19:46:00-07:00",
-          "2010-02-28T19:47:00-07:00",
-          "2010-02-28T19:48:00-07:00",
-          "2010-02-28T19:49:00-07:00",
-          "2010-02-28T19:50:00-07:00",
-          "2010-02-28T19:51:00-07:00",
-          "2010-02-28T19:52:00-07:00",
-          "2010-02-28T19:53:00-07:00",
-          "2010-02-28T19:54:00-07:00",
-          "2010-02-28T19:55:00-07:00",
-          "2010-02-28T19:56:00-07:00",
-          "2010-02-28T19:57:00-07:00",
-          "2010-02-28T19:58:00-07:00",
-          "2010-02-28T19:59:00-07:00",
-          "2010-02-28T20:00:00-07:00",
-          "2010-02-28T20:01:00-07:00",
-          "2010-02-28T20:02:00-07:00",
-          "2010-02-28T20:03:00-07:00",
-          "2010-02-28T20:04:00-07:00",
-          "2010-02-28T20:05:00-07:00",
-          "2010-02-28T20:06:00-07:00",
-          "2010-02-28T20:07:00-07:00",
-          "2010-02-28T20:08:00-07:00",
-          "2010-02-28T20:09:00-07:00",
-          "2010-02-28T20:10:00-07:00",
-          "2010-02-28T20:11:00-07:00",
-          "2010-02-28T20:12:00-07:00",
-          "2010-02-28T20:13:00-07:00",
-          "2010-02-28T20:14:00-07:00",
-          "2010-02-28T20:15:00-07:00",
-          "2010-02-28T20:16:00-07:00",
-          "2010-02-28T20:17:00-07:00",
-          "2010-02-28T20:18:00-07:00",
-          "2010-02-28T20:19:00-07:00",
-          "2010-02-28T20:20:00-07:00",
-          "2010-02-28T20:21:00-07:00",
-          "2010-02-28T20:22:00-07:00",
-          "2010-02-28T20:23:00-07:00",
-          "2010-02-28T20:24:00-07:00",
-          "2010-02-28T20:25:00-07:00",
-          "2010-02-28T20:26:00-07:00",
-          "2010-02-28T20:27:00-07:00",
-          "2010-02-28T20:28:00-07:00",
-          "2010-02-28T20:29:00-07:00",
-          "2010-02-28T20:30:00-07:00",
-          "2010-02-28T20:31:00-07:00",
-          "2010-02-28T20:32:00-07:00",
-          "2010-02-28T20:33:00-07:00",
-          "2010-02-28T20:34:00-07:00",
-          "2010-02-28T20:35:00-07:00",
-          "2010-02-28T20:36:00-07:00",
-          "2010-02-28T20:37:00-07:00",
-          "2010-02-28T20:38:00-07:00",
-          "2010-02-28T20:39:00-07:00",
-          "2010-02-28T20:40:00-07:00",
-          "2010-02-28T20:41:00-07:00",
-          "2010-02-28T20:42:00-07:00",
-          "2010-02-28T20:43:00-07:00",
-          "2010-02-28T20:44:00-07:00",
-          "2010-02-28T20:45:00-07:00",
-          "2010-02-28T20:46:00-07:00",
-          "2010-02-28T20:47:00-07:00",
-          "2010-02-28T20:48:00-07:00",
-          "2010-02-28T20:49:00-07:00",
-          "2010-02-28T20:50:00-07:00",
-          "2010-02-28T20:51:00-07:00",
-          "2010-02-28T20:52:00-07:00",
-          "2010-02-28T20:53:00-07:00",
-          "2010-02-28T20:54:00-07:00",
-          "2010-02-28T20:55:00-07:00",
-          "2010-02-28T20:56:00-07:00",
-          "2010-02-28T20:57:00-07:00",
-          "2010-02-28T20:58:00-07:00",
-          "2010-02-28T20:59:00-07:00",
-          "2010-02-28T21:00:00-07:00",
-          "2010-02-28T21:01:00-07:00",
-          "2010-02-28T21:02:00-07:00",
-          "2010-02-28T21:03:00-07:00",
-          "2010-02-28T21:04:00-07:00",
-          "2010-02-28T21:05:00-07:00",
-          "2010-02-28T21:06:00-07:00",
-          "2010-02-28T21:07:00-07:00",
-          "2010-02-28T21:08:00-07:00",
-          "2010-02-28T21:09:00-07:00",
-          "2010-02-28T21:10:00-07:00",
-          "2010-02-28T21:11:00-07:00",
-          "2010-02-28T21:12:00-07:00",
-          "2010-02-28T21:13:00-07:00",
-          "2010-02-28T21:14:00-07:00",
-          "2010-02-28T21:15:00-07:00",
-          "2010-02-28T21:16:00-07:00",
-          "2010-02-28T21:17:00-07:00",
-          "2010-02-28T21:18:00-07:00",
-          "2010-02-28T21:19:00-07:00",
-          "2010-02-28T21:20:00-07:00",
-          "2010-02-28T21:21:00-07:00",
-          "2010-02-28T21:22:00-07:00",
-          "2010-02-28T21:23:00-07:00",
-          "2010-02-28T21:24:00-07:00",
-          "2010-02-28T21:25:00-07:00",
-          "2010-02-28T21:26:00-07:00",
-          "2010-02-28T21:27:00-07:00",
-          "2010-02-28T21:28:00-07:00",
-          "2010-02-28T21:29:00-07:00",
-          "2010-02-28T21:30:00-07:00",
-          "2010-02-28T21:31:00-07:00",
-          "2010-02-28T21:32:00-07:00",
-          "2010-02-28T21:33:00-07:00",
-          "2010-02-28T21:34:00-07:00",
-          "2010-02-28T21:35:00-07:00",
-          "2010-02-28T21:36:00-07:00",
-          "2010-02-28T21:37:00-07:00",
-          "2010-02-28T21:38:00-07:00",
-          "2010-02-28T21:39:00-07:00",
-          "2010-02-28T21:40:00-07:00",
-          "2010-02-28T21:41:00-07:00",
-          "2010-02-28T21:42:00-07:00",
-          "2010-02-28T21:43:00-07:00",
-          "2010-02-28T21:44:00-07:00",
-          "2010-02-28T21:45:00-07:00",
-          "2010-02-28T21:46:00-07:00",
-          "2010-02-28T21:47:00-07:00",
-          "2010-02-28T21:48:00-07:00",
-          "2010-02-28T21:49:00-07:00",
-          "2010-02-28T21:50:00-07:00",
-          "2010-02-28T21:51:00-07:00",
-          "2010-02-28T21:52:00-07:00",
-          "2010-02-28T21:53:00-07:00",
-          "2010-02-28T21:54:00-07:00",
-          "2010-02-28T21:55:00-07:00",
-          "2010-02-28T21:56:00-07:00",
-          "2010-02-28T21:57:00-07:00",
-          "2010-02-28T21:58:00-07:00",
-          "2010-02-28T21:59:00-07:00",
-          "2010-02-28T22:00:00-07:00",
-          "2010-02-28T22:01:00-07:00",
-          "2010-02-28T22:02:00-07:00",
-          "2010-02-28T22:03:00-07:00",
-          "2010-02-28T22:04:00-07:00",
-          "2010-02-28T22:05:00-07:00",
-          "2010-02-28T22:06:00-07:00",
-          "2010-02-28T22:07:00-07:00",
-          "2010-02-28T22:08:00-07:00",
-          "2010-02-28T22:09:00-07:00",
-          "2010-02-28T22:10:00-07:00",
-          "2010-02-28T22:11:00-07:00",
-          "2010-02-28T22:12:00-07:00",
-          "2010-02-28T22:13:00-07:00",
-          "2010-02-28T22:14:00-07:00",
-          "2010-02-28T22:15:00-07:00",
-          "2010-02-28T22:16:00-07:00",
-          "2010-02-28T22:17:00-07:00",
-          "2010-02-28T22:18:00-07:00",
-          "2010-02-28T22:19:00-07:00",
-          "2010-02-28T22:20:00-07:00",
-          "2010-02-28T22:21:00-07:00",
-          "2010-02-28T22:22:00-07:00",
-          "2010-02-28T22:23:00-07:00",
-          "2010-02-28T22:24:00-07:00",
-          "2010-02-28T22:25:00-07:00",
-          "2010-02-28T22:26:00-07:00",
-          "2010-02-28T22:27:00-07:00",
-          "2010-02-28T22:28:00-07:00",
-          "2010-02-28T22:29:00-07:00",
-          "2010-02-28T22:30:00-07:00",
-          "2010-02-28T22:31:00-07:00",
-          "2010-02-28T22:32:00-07:00",
-          "2010-02-28T22:33:00-07:00",
-          "2010-02-28T22:34:00-07:00",
-          "2010-02-28T22:35:00-07:00",
-          "2010-02-28T22:36:00-07:00",
-          "2010-02-28T22:37:00-07:00",
-          "2010-02-28T22:38:00-07:00",
-          "2010-02-28T22:39:00-07:00",
-          "2010-02-28T22:40:00-07:00",
-          "2010-02-28T22:41:00-07:00",
-          "2010-02-28T22:42:00-07:00",
-          "2010-02-28T22:43:00-07:00",
-          "2010-02-28T22:44:00-07:00",
-          "2010-02-28T22:45:00-07:00",
-          "2010-02-28T22:46:00-07:00",
-          "2010-02-28T22:47:00-07:00",
-          "2010-02-28T22:48:00-07:00",
-          "2010-02-28T22:49:00-07:00",
-          "2010-02-28T22:50:00-07:00",
-          "2010-02-28T22:51:00-07:00",
-          "2010-02-28T22:52:00-07:00",
-          "2010-02-28T22:53:00-07:00",
-          "2010-02-28T22:54:00-07:00",
-          "2010-02-28T22:55:00-07:00",
-          "2010-02-28T22:56:00-07:00",
-          "2010-02-28T22:57:00-07:00",
-          "2010-02-28T22:58:00-07:00",
-          "2010-02-28T22:59:00-07:00",
-          "2010-02-28T23:00:00-07:00",
-          "2010-02-28T23:01:00-07:00",
-          "2010-02-28T23:02:00-07:00",
-          "2010-02-28T23:03:00-07:00",
-          "2010-02-28T23:04:00-07:00",
-          "2010-02-28T23:05:00-07:00",
-          "2010-02-28T23:06:00-07:00",
-          "2010-02-28T23:07:00-07:00",
-          "2010-02-28T23:08:00-07:00",
-          "2010-02-28T23:09:00-07:00",
-          "2010-02-28T23:10:00-07:00",
-          "2010-02-28T23:11:00-07:00",
-          "2010-02-28T23:12:00-07:00",
-          "2010-02-28T23:13:00-07:00",
-          "2010-02-28T23:14:00-07:00",
-          "2010-02-28T23:15:00-07:00",
-          "2010-02-28T23:16:00-07:00",
-          "2010-02-28T23:17:00-07:00",
-          "2010-02-28T23:18:00-07:00",
-          "2010-02-28T23:19:00-07:00",
-          "2010-02-28T23:20:00-07:00",
-          "2010-02-28T23:21:00-07:00",
-          "2010-02-28T23:22:00-07:00",
-          "2010-02-28T23:23:00-07:00",
-          "2010-02-28T23:24:00-07:00",
-          "2010-02-28T23:25:00-07:00",
-          "2010-02-28T23:26:00-07:00",
-          "2010-02-28T23:27:00-07:00",
-          "2010-02-28T23:28:00-07:00",
-          "2010-02-28T23:29:00-07:00",
-          "2010-02-28T23:30:00-07:00",
-          "2010-02-28T23:31:00-07:00",
-          "2010-02-28T23:32:00-07:00",
-          "2010-02-28T23:33:00-07:00",
-          "2010-02-28T23:34:00-07:00",
-          "2010-02-28T23:35:00-07:00",
-          "2010-02-28T23:36:00-07:00",
-          "2010-02-28T23:37:00-07:00",
-          "2010-02-28T23:38:00-07:00",
-          "2010-02-28T23:39:00-07:00",
-          "2010-02-28T23:40:00-07:00",
-          "2010-02-28T23:41:00-07:00",
-          "2010-02-28T23:42:00-07:00",
-          "2010-02-28T23:43:00-07:00",
-          "2010-02-28T23:44:00-07:00",
-          "2010-02-28T23:45:00-07:00",
-          "2010-02-28T23:46:00-07:00",
-          "2010-02-28T23:47:00-07:00",
-          "2010-02-28T23:48:00-07:00",
-          "2010-02-28T23:49:00-07:00",
-          "2010-02-28T23:50:00-07:00",
-          "2010-02-28T23:51:00-07:00",
-          "2010-02-28T23:52:00-07:00",
-          "2010-02-28T23:53:00-07:00",
-          "2010-02-28T23:54:00-07:00",
-          "2010-02-28T23:55:00-07:00",
-          "2010-02-28T23:56:00-07:00",
-          "2010-02-28T23:57:00-07:00",
-          "2010-02-28T23:58:00-07:00",
-          "2010-02-28T23:59:00-07:00",
-          "2010-03-01T00:00:00-07:00",
-          "2010-03-01T00:01:00-07:00",
-          "2010-03-01T00:02:00-07:00",
-          "2010-03-01T00:03:00-07:00",
-          "2010-03-01T00:04:00-07:00",
-          "2010-03-01T00:05:00-07:00",
-          "2010-03-01T00:06:00-07:00",
-          "2010-03-01T00:07:00-07:00",
-          "2010-03-01T00:08:00-07:00",
-          "2010-03-01T00:09:00-07:00",
-          "2010-03-01T00:10:00-07:00",
-          "2010-03-01T00:11:00-07:00",
-          "2010-03-01T00:12:00-07:00",
-          "2010-03-01T00:13:00-07:00",
-          "2010-03-01T00:14:00-07:00",
-          "2010-03-01T00:15:00-07:00",
-          "2010-03-01T00:16:00-07:00",
-          "2010-03-01T00:17:00-07:00",
-          "2010-03-01T00:18:00-07:00",
-          "2010-03-01T00:19:00-07:00",
-          "2010-03-01T00:20:00-07:00",
-          "2010-03-01T00:21:00-07:00",
-          "2010-03-01T00:22:00-07:00",
-          "2010-03-01T00:23:00-07:00",
-          "2010-03-01T00:24:00-07:00",
-          "2010-03-01T00:25:00-07:00",
-          "2010-03-01T00:26:00-07:00",
-          "2010-03-01T00:27:00-07:00",
-          "2010-03-01T00:28:00-07:00",
-          "2010-03-01T00:29:00-07:00",
-          "2010-03-01T00:30:00-07:00",
-          "2010-03-01T00:31:00-07:00",
-          "2010-03-01T00:32:00-07:00",
-          "2010-03-01T00:33:00-07:00",
-          "2010-03-01T00:34:00-07:00",
-          "2010-03-01T00:35:00-07:00",
-          "2010-03-01T00:36:00-07:00",
-          "2010-03-01T00:37:00-07:00",
-          "2010-03-01T00:38:00-07:00",
-          "2010-03-01T00:39:00-07:00",
-          "2010-03-01T00:40:00-07:00",
-          "2010-03-01T00:41:00-07:00",
-          "2010-03-01T00:42:00-07:00",
-          "2010-03-01T00:43:00-07:00",
-          "2010-03-01T00:44:00-07:00",
-          "2010-03-01T00:45:00-07:00",
-          "2010-03-01T00:46:00-07:00",
-          "2010-03-01T00:47:00-07:00",
-          "2010-03-01T00:48:00-07:00",
-          "2010-03-01T00:49:00-07:00",
-          "2010-03-01T00:50:00-07:00",
-          "2010-03-01T00:51:00-07:00",
-          "2010-03-01T00:52:00-07:00",
-          "2010-03-01T00:53:00-07:00",
-          "2010-03-01T00:54:00-07:00",
-          "2010-03-01T00:55:00-07:00",
-          "2010-03-01T00:56:00-07:00",
-          "2010-03-01T00:57:00-07:00",
-          "2010-03-01T00:58:00-07:00",
-          "2010-03-01T00:59:00-07:00",
-          "2010-03-01T01:00:00-07:00",
-          "2010-03-01T01:01:00-07:00",
-          "2010-03-01T01:02:00-07:00",
-          "2010-03-01T01:03:00-07:00",
-          "2010-03-01T01:04:00-07:00",
-          "2010-03-01T01:05:00-07:00",
-          "2010-03-01T01:06:00-07:00",
-          "2010-03-01T01:07:00-07:00",
-          "2010-03-01T01:08:00-07:00",
-          "2010-03-01T01:09:00-07:00",
-          "2010-03-01T01:10:00-07:00",
-          "2010-03-01T01:11:00-07:00",
-          "2010-03-01T01:12:00-07:00",
-          "2010-03-01T01:13:00-07:00",
-          "2010-03-01T01:14:00-07:00",
-          "2010-03-01T01:15:00-07:00",
-          "2010-03-01T01:16:00-07:00",
-          "2010-03-01T01:17:00-07:00",
-          "2010-03-01T01:18:00-07:00",
-          "2010-03-01T01:19:00-07:00",
-          "2010-03-01T01:20:00-07:00",
-          "2010-03-01T01:21:00-07:00",
-          "2010-03-01T01:22:00-07:00",
-          "2010-03-01T01:23:00-07:00",
-          "2010-03-01T01:24:00-07:00",
-          "2010-03-01T01:25:00-07:00",
-          "2010-03-01T01:26:00-07:00",
-          "2010-03-01T01:27:00-07:00",
-          "2010-03-01T01:28:00-07:00",
-          "2010-03-01T01:29:00-07:00",
-          "2010-03-01T01:30:00-07:00",
-          "2010-03-01T01:31:00-07:00",
-          "2010-03-01T01:32:00-07:00",
-          "2010-03-01T01:33:00-07:00",
-          "2010-03-01T01:34:00-07:00",
-          "2010-03-01T01:35:00-07:00",
-          "2010-03-01T01:36:00-07:00",
-          "2010-03-01T01:37:00-07:00",
-          "2010-03-01T01:38:00-07:00",
-          "2010-03-01T01:39:00-07:00",
-          "2010-03-01T01:40:00-07:00",
-          "2010-03-01T01:41:00-07:00",
-          "2010-03-01T01:42:00-07:00",
-          "2010-03-01T01:43:00-07:00",
-          "2010-03-01T01:44:00-07:00",
-          "2010-03-01T01:45:00-07:00",
-          "2010-03-01T01:46:00-07:00",
-          "2010-03-01T01:47:00-07:00",
-          "2010-03-01T01:48:00-07:00",
-          "2010-03-01T01:49:00-07:00",
-          "2010-03-01T01:50:00-07:00",
-          "2010-03-01T01:51:00-07:00",
-          "2010-03-01T01:52:00-07:00",
-          "2010-03-01T01:53:00-07:00",
-          "2010-03-01T01:54:00-07:00",
-          "2010-03-01T01:55:00-07:00",
-          "2010-03-01T01:56:00-07:00",
-          "2010-03-01T01:57:00-07:00",
-          "2010-03-01T01:58:00-07:00",
-          "2010-03-01T01:59:00-07:00",
-          "2010-03-01T02:00:00-07:00",
-          "2010-03-01T02:01:00-07:00",
-          "2010-03-01T02:02:00-07:00",
-          "2010-03-01T02:03:00-07:00",
-          "2010-03-01T02:04:00-07:00",
-          "2010-03-01T02:05:00-07:00",
-          "2010-03-01T02:06:00-07:00",
-          "2010-03-01T02:07:00-07:00",
-          "2010-03-01T02:08:00-07:00",
-          "2010-03-01T02:09:00-07:00",
-          "2010-03-01T02:10:00-07:00",
-          "2010-03-01T02:11:00-07:00",
-          "2010-03-01T02:12:00-07:00",
-          "2010-03-01T02:13:00-07:00",
-          "2010-03-01T02:14:00-07:00",
-          "2010-03-01T02:15:00-07:00",
-          "2010-03-01T02:16:00-07:00",
-          "2010-03-01T02:17:00-07:00",
-          "2010-03-01T02:18:00-07:00",
-          "2010-03-01T02:19:00-07:00",
-          "2010-03-01T02:20:00-07:00",
-          "2010-03-01T02:21:00-07:00",
-          "2010-03-01T02:22:00-07:00",
-          "2010-03-01T02:23:00-07:00",
-          "2010-03-01T02:24:00-07:00",
-          "2010-03-01T02:25:00-07:00",
-          "2010-03-01T02:26:00-07:00",
-          "2010-03-01T02:27:00-07:00",
-          "2010-03-01T02:28:00-07:00",
-          "2010-03-01T02:29:00-07:00",
-          "2010-03-01T02:30:00-07:00",
-          "2010-03-01T02:31:00-07:00",
-          "2010-03-01T02:32:00-07:00",
-          "2010-03-01T02:33:00-07:00",
-          "2010-03-01T02:34:00-07:00",
-          "2010-03-01T02:35:00-07:00",
-          "2010-03-01T02:36:00-07:00",
-          "2010-03-01T02:37:00-07:00",
-          "2010-03-01T02:38:00-07:00",
-          "2010-03-01T02:39:00-07:00",
-          "2010-03-01T02:40:00-07:00",
-          "2010-03-01T02:41:00-07:00",
-          "2010-03-01T02:42:00-07:00",
-          "2010-03-01T02:43:00-07:00",
-          "2010-03-01T02:44:00-07:00",
-          "2010-03-01T02:45:00-07:00",
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-          "2010-03-01T02:54:00-07:00",
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-          "2010-03-01T03:12:00-07:00",
-          "2010-03-01T03:13:00-07:00",
-          "2010-03-01T03:14:00-07:00",
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-          "2010-03-01T03:18:00-07:00",
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-          "2010-03-01T03:22:00-07:00",
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-          "2010-03-01T03:24:00-07:00",
-          "2010-03-01T03:25:00-07:00",
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-          "2010-03-01T03:32:00-07:00",
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-          "2010-03-01T03:39:00-07:00",
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-          "2010-03-01T04:13:00-07:00",
-          "2010-03-01T04:14:00-07:00",
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-          "2010-03-01T04:16:00-07:00",
-          "2010-03-01T04:17:00-07:00",
-          "2010-03-01T04:18:00-07:00",
-          "2010-03-01T04:19:00-07:00",
-          "2010-03-01T04:20:00-07:00",
-          "2010-03-01T04:21:00-07:00",
-          "2010-03-01T04:22:00-07:00",
-          "2010-03-01T04:23:00-07:00",
-          "2010-03-01T04:24:00-07:00",
-          "2010-03-01T04:25:00-07:00",
-          "2010-03-01T04:26:00-07:00",
-          "2010-03-01T04:27:00-07:00",
-          "2010-03-01T04:28:00-07:00",
-          "2010-03-01T04:29:00-07:00",
-          "2010-03-01T04:30:00-07:00",
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-          "2010-03-01T04:32:00-07:00",
-          "2010-03-01T04:33:00-07:00",
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-          "2010-03-01T04:35:00-07:00",
-          "2010-03-01T04:36:00-07:00",
-          "2010-03-01T04:37:00-07:00",
-          "2010-03-01T04:38:00-07:00",
-          "2010-03-01T04:39:00-07:00",
-          "2010-03-01T04:40:00-07:00",
-          "2010-03-01T04:41:00-07:00",
-          "2010-03-01T04:42:00-07:00",
-          "2010-03-01T04:43:00-07:00",
-          "2010-03-01T04:44:00-07:00",
-          "2010-03-01T04:45:00-07:00",
-          "2010-03-01T04:46:00-07:00",
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-          "2010-03-01T04:48:00-07:00",
-          "2010-03-01T04:49:00-07:00",
-          "2010-03-01T04:50:00-07:00",
-          "2010-03-01T04:51:00-07:00",
-          "2010-03-01T04:52:00-07:00",
-          "2010-03-01T04:53:00-07:00",
-          "2010-03-01T04:54:00-07:00",
-          "2010-03-01T04:55:00-07:00",
-          "2010-03-01T04:56:00-07:00",
-          "2010-03-01T04:57:00-07:00",
-          "2010-03-01T04:58:00-07:00",
-          "2010-03-01T04:59:00-07:00",
-          "2010-03-01T05:00:00-07:00",
-          "2010-03-01T05:01:00-07:00",
-          "2010-03-01T05:02:00-07:00",
-          "2010-03-01T05:03:00-07:00",
-          "2010-03-01T05:04:00-07:00",
-          "2010-03-01T05:05:00-07:00",
-          "2010-03-01T05:06:00-07:00",
-          "2010-03-01T05:07:00-07:00",
-          "2010-03-01T05:08:00-07:00",
-          "2010-03-01T05:09:00-07:00",
-          "2010-03-01T05:10:00-07:00",
-          "2010-03-01T05:11:00-07:00",
-          "2010-03-01T05:12:00-07:00",
-          "2010-03-01T05:13:00-07:00",
-          "2010-03-01T05:14:00-07:00",
-          "2010-03-01T05:15:00-07:00",
-          "2010-03-01T05:16:00-07:00",
-          "2010-03-01T05:17:00-07:00",
-          "2010-03-01T05:18:00-07:00",
-          "2010-03-01T05:19:00-07:00",
-          "2010-03-01T05:20:00-07:00",
-          "2010-03-01T05:21:00-07:00",
-          "2010-03-01T05:22:00-07:00",
-          "2010-03-01T05:23:00-07:00",
-          "2010-03-01T05:24:00-07:00",
-          "2010-03-01T05:25:00-07:00",
-          "2010-03-01T05:26:00-07:00",
-          "2010-03-01T05:27:00-07:00",
-          "2010-03-01T05:28:00-07:00",
-          "2010-03-01T05:29:00-07:00",
-          "2010-03-01T05:30:00-07:00",
-          "2010-03-01T05:31:00-07:00",
-          "2010-03-01T05:32:00-07:00",
-          "2010-03-01T05:33:00-07:00",
-          "2010-03-01T05:34:00-07:00",
-          "2010-03-01T05:35:00-07:00",
-          "2010-03-01T05:36:00-07:00",
-          "2010-03-01T05:37:00-07:00",
-          "2010-03-01T05:38:00-07:00",
-          "2010-03-01T05:39:00-07:00",
-          "2010-03-01T05:40:00-07:00",
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-          "2010-03-01T06:29:00-07:00",
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-          "2010-03-01T06:32:00-07:00",
-          "2010-03-01T06:33:00-07:00",
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-          "2010-03-01T07:12:00-07:00",
-          "2010-03-01T07:13:00-07:00",
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-          "2010-03-01T07:19:00-07:00",
-          "2010-03-01T07:20:00-07:00",
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-          "2010-03-01T07:25:00-07:00",
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-          "2010-03-01T07:31:00-07:00",
-          "2010-03-01T07:32:00-07:00",
-          "2010-03-01T07:33:00-07:00",
-          "2010-03-01T07:34:00-07:00",
-          "2010-03-01T07:35:00-07:00",
-          "2010-03-01T07:36:00-07:00",
-          "2010-03-01T07:37:00-07:00",
-          "2010-03-01T07:38:00-07:00",
-          "2010-03-01T07:39:00-07:00",
-          "2010-03-01T07:41:00-07:00",
-          "2010-03-01T07:42:00-07:00",
-          "2010-03-01T07:49:00-07:00",
-          "2010-03-01T07:50:00-07:00",
-          "2010-03-01T07:51:00-07:00",
-          "2010-03-01T07:52:00-07:00",
-          "2010-03-01T10:03:00-07:00",
-          "2010-03-01T10:07:00-07:00",
-          "2010-03-01T10:08:00-07:00",
-          "2010-03-01T10:09:00-07:00",
-          "2010-03-01T10:12:00-07:00",
-          "2010-03-01T10:17:00-07:00",
-          "2010-03-01T10:18:00-07:00",
-          "2010-03-01T10:24:00-07:00",
-          "2010-03-01T10:25:00-07:00",
-          "2010-03-01T10:26:00-07:00",
-          "2010-03-01T10:30:00-07:00",
-          "2010-03-01T10:36:00-07:00",
-          "2010-03-01T10:39:00-07:00",
-          "2010-03-01T10:47:00-07:00",
-          "2010-03-01T10:49:00-07:00",
-          "2010-03-01T10:50:00-07:00",
-          "2010-03-01T10:52:00-07:00",
-          "2010-03-01T10:53:00-07:00",
-          "2010-03-01T10:54:00-07:00",
-          "2010-03-01T10:55:00-07:00",
-          "2010-03-01T10:56:00-07:00",
-          "2010-03-01T10:59:00-07:00",
-          "2010-03-01T11:00:00-07:00",
-          "2010-03-01T11:02:00-07:00",
-          "2010-03-01T11:03:00-07:00",
-          "2010-03-01T11:04:00-07:00",
-          "2010-03-01T11:11:00-07:00",
-          "2010-03-01T11:12:00-07:00",
-          "2010-03-01T11:13:00-07:00",
-          "2010-03-01T11:14:00-07:00",
-          "2010-03-01T11:17:00-07:00",
-          "2010-03-01T11:18:00-07:00",
-          "2010-03-01T11:19:00-07:00",
-          "2010-03-01T11:20:00-07:00",
-          "2010-03-01T11:21:00-07:00",
-          "2010-03-01T11:22:00-07:00",
-          "2010-03-01T11:23:00-07:00",
-          "2010-03-01T11:24:00-07:00",
-          "2010-03-01T11:25:00-07:00",
-          "2010-03-01T11:26:00-07:00",
-          "2010-03-01T11:28:00-07:00",
-          "2010-03-01T11:32:00-07:00",
-          "2010-03-01T11:37:00-07:00",
-          "2010-03-01T11:39:00-07:00",
-          "2010-03-01T11:43:00-07:00",
-          "2010-03-01T11:46:00-07:00",
-          "2010-03-01T11:48:00-07:00",
-          "2010-03-01T11:50:00-07:00",
-          "2010-03-01T11:54:00-07:00",
-          "2010-03-01T11:55:00-07:00",
-          "2010-03-01T11:56:00-07:00",
-          "2010-03-01T11:58:00-07:00",
-          "2010-03-01T11:59:00-07:00",
-          "2010-03-01T12:04:00-07:00",
-          "2010-03-01T12:05:00-07:00",
-          "2010-03-01T12:06:00-07:00",
-          "2010-03-01T12:10:00-07:00",
-          "2010-03-01T12:11:00-07:00",
-          "2010-03-01T12:18:00-07:00",
-          "2010-03-01T12:26:00-07:00",
-          "2010-03-01T12:32:00-07:00",
-          "2010-03-01T12:33:00-07:00",
-          "2010-03-01T12:37:00-07:00",
-          "2010-03-01T12:41:00-07:00",
-          "2010-03-01T12:42:00-07:00",
-          "2010-03-01T12:43:00-07:00",
-          "2010-03-01T12:48:00-07:00",
-          "2010-03-01T12:49:00-07:00",
-          "2010-03-01T12:58:00-07:00",
-          "2010-03-01T12:59:00-07:00",
-          "2010-03-01T13:00:00-07:00",
-          "2010-03-01T13:12:00-07:00",
-          "2010-03-01T13:13:00-07:00",
-          "2010-03-01T13:14:00-07:00",
-          "2010-03-01T13:17:00-07:00",
-          "2010-03-01T13:18:00-07:00",
-          "2010-03-01T13:24:00-07:00",
-          "2010-03-01T13:25:00-07:00",
-          "2010-03-01T13:29:00-07:00",
-          "2010-03-01T13:32:00-07:00",
-          "2010-03-01T13:36:00-07:00",
-          "2010-03-01T13:37:00-07:00",
-          "2010-03-01T13:38:00-07:00",
-          "2010-03-01T13:40:00-07:00",
-          "2010-03-01T13:45:00-07:00",
-          "2010-03-01T13:47:00-07:00",
-          "2010-03-01T13:49:00-07:00",
-          "2010-03-01T13:50:00-07:00",
-          "2010-03-01T13:52:00-07:00",
-          "2010-03-01T14:34:00-07:00",
-          "2010-03-01T14:39:00-07:00",
-          "2010-03-01T14:40:00-07:00",
-          "2010-03-01T14:42:00-07:00",
-          "2010-03-01T17:34:00-07:00",
-          "2010-03-01T17:35:00-07:00",
-          "2010-03-01T17:36:00-07:00",
-          "2010-03-01T17:37:00-07:00",
-          "2010-03-01T17:38:00-07:00",
-          "2010-03-01T17:39:00-07:00",
-          "2010-03-01T17:40:00-07:00",
-          "2010-03-01T17:41:00-07:00",
-          "2010-03-01T17:42:00-07:00",
-          "2010-03-01T17:43:00-07:00",
-          "2010-03-01T17:44:00-07:00",
-          "2010-03-01T17:45:00-07:00",
-          "2010-03-01T17:46:00-07:00",
-          "2010-03-01T17:47:00-07:00",
-          "2010-03-01T17:48:00-07:00",
-          "2010-03-01T17:49:00-07:00",
-          "2010-03-01T17:50:00-07:00",
-          "2010-03-01T17:51:00-07:00",
-          "2010-03-01T17:52:00-07:00",
-          "2010-03-01T17:53:00-07:00",
-          "2010-03-01T17:54:00-07:00",
-          "2010-03-01T17:55:00-07:00",
-          "2010-03-01T17:56:00-07:00",
-          "2010-03-01T17:57:00-07:00",
-          "2010-03-01T17:58:00-07:00",
-          "2010-03-01T17:59:00-07:00",
-          "2010-03-01T18:00:00-07:00",
-          "2010-03-01T18:01:00-07:00",
-          "2010-03-01T18:02:00-07:00",
-          "2010-03-01T18:03:00-07:00",
-          "2010-03-01T18:04:00-07:00",
-          "2010-03-01T18:05:00-07:00",
-          "2010-03-01T18:06:00-07:00",
-          "2010-03-01T18:07:00-07:00",
-          "2010-03-01T18:08:00-07:00",
-          "2010-03-01T18:09:00-07:00",
-          "2010-03-01T18:10:00-07:00",
-          "2010-03-01T18:11:00-07:00",
-          "2010-03-01T18:12:00-07:00",
-          "2010-03-01T18:13:00-07:00",
-          "2010-03-01T18:14:00-07:00",
-          "2010-03-01T18:15:00-07:00",
-          "2010-03-01T18:16:00-07:00",
-          "2010-03-01T18:17:00-07:00",
-          "2010-03-01T18:18:00-07:00",
-          "2010-03-01T18:19:00-07:00",
-          "2010-03-01T18:20:00-07:00",
-          "2010-03-01T18:21:00-07:00",
-          "2010-03-01T18:22:00-07:00",
-          "2010-03-01T18:23:00-07:00",
-          "2010-03-01T18:24:00-07:00",
-          "2010-03-01T18:25:00-07:00",
-          "2010-03-01T18:26:00-07:00",
-          "2010-03-01T18:27:00-07:00",
-          "2010-03-01T18:28:00-07:00",
-          "2010-03-01T18:29:00-07:00",
-          "2010-03-01T18:30:00-07:00",
-          "2010-03-01T18:31:00-07:00",
-          "2010-03-01T18:32:00-07:00",
-          "2010-03-01T18:33:00-07:00",
-          "2010-03-01T18:34:00-07:00",
-          "2010-03-01T18:35:00-07:00",
-          "2010-03-01T18:36:00-07:00",
-          "2010-03-01T18:37:00-07:00",
-          "2010-03-01T18:38:00-07:00",
-          "2010-03-01T18:39:00-07:00",
-          "2010-03-01T18:40:00-07:00",
-          "2010-03-01T18:41:00-07:00",
-          "2010-03-01T18:42:00-07:00",
-          "2010-03-01T18:43:00-07:00",
-          "2010-03-01T18:44:00-07:00",
-          "2010-03-01T18:45:00-07:00",
-          "2010-03-01T18:46:00-07:00",
-          "2010-03-01T18:47:00-07:00",
-          "2010-03-01T18:48:00-07:00",
-          "2010-03-01T18:49:00-07:00",
-          "2010-03-01T18:50:00-07:00",
-          "2010-03-01T18:51:00-07:00",
-          "2010-03-01T18:52:00-07:00",
-          "2010-03-01T18:53:00-07:00",
-          "2010-03-01T18:54:00-07:00",
-          "2010-03-01T18:55:00-07:00",
-          "2010-03-01T18:56:00-07:00",
-          "2010-03-01T18:57:00-07:00",
-          "2010-03-01T18:58:00-07:00",
-          "2010-03-01T18:59:00-07:00",
-          "2010-03-01T19:00:00-07:00",
-          "2010-03-01T19:01:00-07:00",
-          "2010-03-01T19:02:00-07:00",
-          "2010-03-01T19:03:00-07:00",
-          "2010-03-01T19:04:00-07:00",
-          "2010-03-01T19:05:00-07:00",
-          "2010-03-01T19:06:00-07:00",
-          "2010-03-01T19:07:00-07:00",
-          "2010-03-01T19:08:00-07:00",
-          "2010-03-01T19:09:00-07:00",
-          "2010-03-01T19:10:00-07:00",
-          "2010-03-01T19:11:00-07:00",
-          "2010-03-01T19:12:00-07:00",
-          "2010-03-01T19:13:00-07:00",
-          "2010-03-01T19:14:00-07:00",
-          "2010-03-01T19:15:00-07:00",
-          "2010-03-01T19:16:00-07:00",
-          "2010-03-01T19:17:00-07:00",
-          "2010-03-01T19:18:00-07:00",
-          "2010-03-01T19:19:00-07:00",
-          "2010-03-01T19:20:00-07:00",
-          "2010-03-01T19:21:00-07:00",
-          "2010-03-01T19:22:00-07:00",
-          "2010-03-01T19:23:00-07:00",
-          "2010-03-01T19:24:00-07:00",
-          "2010-03-01T19:25:00-07:00",
-          "2010-03-01T19:26:00-07:00",
-          "2010-03-01T19:27:00-07:00",
-          "2010-03-01T19:28:00-07:00",
-          "2010-03-01T19:29:00-07:00",
-          "2010-03-01T19:30:00-07:00",
-          "2010-03-01T19:31:00-07:00",
-          "2010-03-01T19:32:00-07:00",
-          "2010-03-01T19:33:00-07:00",
-          "2010-03-01T19:34:00-07:00",
-          "2010-03-01T19:35:00-07:00",
-          "2010-03-01T19:36:00-07:00",
-          "2010-03-01T19:37:00-07:00",
-          "2010-03-01T19:38:00-07:00",
-          "2010-03-01T19:39:00-07:00",
-          "2010-03-01T19:40:00-07:00",
-          "2010-03-01T19:41:00-07:00",
-          "2010-03-01T19:42:00-07:00",
-          "2010-03-01T19:43:00-07:00",
-          "2010-03-01T19:44:00-07:00",
-          "2010-03-01T19:45:00-07:00",
-          "2010-03-01T19:46:00-07:00",
-          "2010-03-01T19:47:00-07:00",
-          "2010-03-01T19:48:00-07:00",
-          "2010-03-01T19:49:00-07:00",
-          "2010-03-01T19:50:00-07:00",
-          "2010-03-01T19:51:00-07:00",
-          "2010-03-01T19:52:00-07:00",
-          "2010-03-01T19:53:00-07:00",
-          "2010-03-01T19:54:00-07:00",
-          "2010-03-01T19:55:00-07:00",
-          "2010-03-01T19:56:00-07:00",
-          "2010-03-01T19:57:00-07:00",
-          "2010-03-01T19:58:00-07:00",
-          "2010-03-01T19:59:00-07:00",
-          "2010-03-01T20:00:00-07:00",
-          "2010-03-01T20:01:00-07:00",
-          "2010-03-01T20:02:00-07:00",
-          "2010-03-01T20:03:00-07:00",
-          "2010-03-01T20:04:00-07:00",
-          "2010-03-01T20:05:00-07:00",
-          "2010-03-01T20:06:00-07:00",
-          "2010-03-01T20:07:00-07:00",
-          "2010-03-01T20:08:00-07:00",
-          "2010-03-01T20:09:00-07:00",
-          "2010-03-01T20:10:00-07:00",
-          "2010-03-01T20:11:00-07:00",
-          "2010-03-01T20:12:00-07:00",
-          "2010-03-01T20:13:00-07:00",
-          "2010-03-01T20:14:00-07:00",
-          "2010-03-01T20:15:00-07:00",
-          "2010-03-01T20:16:00-07:00",
-          "2010-03-01T20:17:00-07:00",
-          "2010-03-01T20:18:00-07:00",
-          "2010-03-01T20:19:00-07:00",
-          "2010-03-01T20:20:00-07:00",
-          "2010-03-01T20:21:00-07:00",
-          "2010-03-01T20:22:00-07:00",
-          "2010-03-01T20:23:00-07:00",
-          "2010-03-01T20:24:00-07:00",
-          "2010-03-01T20:25:00-07:00",
-          "2010-03-01T20:26:00-07:00",
-          "2010-03-01T20:27:00-07:00",
-          "2010-03-01T20:28:00-07:00",
-          "2010-03-01T20:29:00-07:00",
-          "2010-03-01T20:30:00-07:00",
-          "2010-03-01T20:31:00-07:00",
-          "2010-03-01T20:32:00-07:00",
-          "2010-03-01T20:33:00-07:00",
-          "2010-03-01T20:34:00-07:00",
-          "2010-03-01T20:35:00-07:00",
-          "2010-03-01T20:36:00-07:00",
-          "2010-03-01T20:37:00-07:00",
-          "2010-03-01T20:38:00-07:00",
-          "2010-03-01T20:39:00-07:00",
-          "2010-03-01T20:40:00-07:00",
-          "2010-03-01T20:41:00-07:00",
-          "2010-03-01T20:42:00-07:00",
-          "2010-03-01T20:43:00-07:00",
-          "2010-03-01T20:44:00-07:00",
-          "2010-03-01T20:45:00-07:00",
-          "2010-03-01T20:46:00-07:00",
-          "2010-03-01T20:47:00-07:00",
-          "2010-03-01T20:48:00-07:00",
-          "2010-03-01T20:49:00-07:00",
-          "2010-03-01T20:50:00-07:00",
-          "2010-03-01T20:51:00-07:00",
-          "2010-03-01T20:52:00-07:00",
-          "2010-03-01T20:53:00-07:00",
-          "2010-03-01T20:54:00-07:00",
-          "2010-03-01T20:55:00-07:00",
-          "2010-03-01T20:56:00-07:00",
-          "2010-03-01T20:57:00-07:00",
-          "2010-03-01T20:58:00-07:00",
-          "2010-03-01T20:59:00-07:00",
-          "2010-03-01T21:00:00-07:00",
-          "2010-03-01T21:01:00-07:00",
-          "2010-03-01T21:02:00-07:00",
-          "2010-03-01T21:03:00-07:00",
-          "2010-03-01T21:04:00-07:00",
-          "2010-03-01T21:05:00-07:00",
-          "2010-03-01T21:06:00-07:00",
-          "2010-03-01T21:07:00-07:00",
-          "2010-03-01T21:08:00-07:00",
-          "2010-03-01T21:09:00-07:00",
-          "2010-03-01T21:10:00-07:00",
-          "2010-03-01T21:11:00-07:00",
-          "2010-03-01T21:12:00-07:00",
-          "2010-03-01T21:13:00-07:00",
-          "2010-03-01T21:14:00-07:00",
-          "2010-03-01T21:15:00-07:00",
-          "2010-03-01T21:16:00-07:00",
-          "2010-03-01T21:17:00-07:00",
-          "2010-03-01T21:18:00-07:00",
-          "2010-03-01T21:19:00-07:00",
-          "2010-03-01T21:20:00-07:00",
-          "2010-03-01T21:21:00-07:00",
-          "2010-03-01T21:22:00-07:00",
-          "2010-03-01T21:23:00-07:00",
-          "2010-03-01T21:24:00-07:00",
-          "2010-03-01T21:25:00-07:00",
-          "2010-03-01T21:26:00-07:00",
-          "2010-03-01T21:27:00-07:00",
-          "2010-03-01T21:28:00-07:00",
-          "2010-03-01T21:29:00-07:00",
-          "2010-03-01T21:30:00-07:00",
-          "2010-03-01T21:31:00-07:00",
-          "2010-03-01T21:32:00-07:00",
-          "2010-03-01T21:33:00-07:00",
-          "2010-03-01T21:34:00-07:00",
-          "2010-03-01T21:35:00-07:00",
-          "2010-03-01T21:36:00-07:00",
-          "2010-03-01T21:37:00-07:00",
-          "2010-03-01T21:38:00-07:00",
-          "2010-03-01T21:39:00-07:00",
-          "2010-03-01T21:40:00-07:00",
-          "2010-03-01T21:41:00-07:00",
-          "2010-03-01T21:42:00-07:00",
-          "2010-03-01T21:43:00-07:00",
-          "2010-03-01T21:44:00-07:00",
-          "2010-03-01T21:45:00-07:00",
-          "2010-03-01T21:46:00-07:00",
-          "2010-03-01T21:47:00-07:00",
-          "2010-03-01T21:48:00-07:00",
-          "2010-03-01T21:49:00-07:00",
-          "2010-03-01T21:50:00-07:00",
-          "2010-03-01T21:51:00-07:00",
-          "2010-03-01T21:52:00-07:00",
-          "2010-03-01T21:53:00-07:00",
-          "2010-03-01T21:54:00-07:00",
-          "2010-03-01T21:55:00-07:00",
-          "2010-03-01T21:56:00-07:00",
-          "2010-03-01T21:57:00-07:00",
-          "2010-03-01T21:58:00-07:00",
-          "2010-03-01T21:59:00-07:00",
-          "2010-03-01T22:00:00-07:00",
-          "2010-03-01T22:01:00-07:00",
-          "2010-03-01T22:02:00-07:00",
-          "2010-03-01T22:03:00-07:00",
-          "2010-03-01T22:04:00-07:00",
-          "2010-03-01T22:05:00-07:00",
-          "2010-03-01T22:06:00-07:00",
-          "2010-03-01T22:07:00-07:00",
-          "2010-03-01T22:08:00-07:00",
-          "2010-03-01T22:09:00-07:00",
-          "2010-03-01T22:10:00-07:00",
-          "2010-03-01T22:11:00-07:00",
-          "2010-03-01T22:12:00-07:00",
-          "2010-03-01T22:13:00-07:00",
-          "2010-03-01T22:14:00-07:00",
-          "2010-03-01T22:15:00-07:00",
-          "2010-03-01T22:16:00-07:00",
-          "2010-03-01T22:17:00-07:00",
-          "2010-03-01T22:18:00-07:00",
-          "2010-03-01T22:19:00-07:00",
-          "2010-03-01T22:20:00-07:00",
-          "2010-03-01T22:21:00-07:00",
-          "2010-03-01T22:22:00-07:00",
-          "2010-03-01T22:23:00-07:00",
-          "2010-03-01T22:24:00-07:00",
-          "2010-03-01T22:25:00-07:00",
-          "2010-03-01T22:26:00-07:00",
-          "2010-03-01T22:27:00-07:00",
-          "2010-03-01T22:28:00-07:00",
-          "2010-03-01T22:29:00-07:00",
-          "2010-03-01T22:30:00-07:00",
-          "2010-03-01T22:31:00-07:00",
-          "2010-03-01T22:32:00-07:00",
-          "2010-03-01T22:33:00-07:00",
-          "2010-03-01T22:34:00-07:00",
-          "2010-03-01T22:35:00-07:00",
-          "2010-03-01T22:36:00-07:00",
-          "2010-03-01T22:37:00-07:00",
-          "2010-03-01T22:38:00-07:00",
-          "2010-03-01T22:39:00-07:00",
-          "2010-03-01T22:40:00-07:00",
-          "2010-03-01T22:41:00-07:00",
-          "2010-03-01T22:42:00-07:00",
-          "2010-03-01T22:43:00-07:00",
-          "2010-03-01T22:44:00-07:00",
-          "2010-03-01T22:45:00-07:00",
-          "2010-03-01T22:46:00-07:00",
-          "2010-03-01T22:47:00-07:00",
-          "2010-03-01T22:48:00-07:00",
-          "2010-03-01T22:49:00-07:00",
-          "2010-03-01T22:50:00-07:00",
-          "2010-03-01T22:51:00-07:00",
-          "2010-03-01T22:52:00-07:00",
-          "2010-03-01T22:53:00-07:00",
-          "2010-03-01T22:54:00-07:00",
-          "2010-03-01T22:55:00-07:00",
-          "2010-03-01T22:56:00-07:00",
-          "2010-03-01T22:57:00-07:00",
-          "2010-03-01T22:58:00-07:00",
-          "2010-03-01T22:59:00-07:00",
-          "2010-03-01T23:00:00-07:00",
-          "2010-03-01T23:01:00-07:00",
-          "2010-03-01T23:02:00-07:00",
-          "2010-03-01T23:03:00-07:00",
-          "2010-03-01T23:04:00-07:00",
-          "2010-03-01T23:05:00-07:00",
-          "2010-03-01T23:06:00-07:00",
-          "2010-03-01T23:07:00-07:00",
-          "2010-03-01T23:08:00-07:00",
-          "2010-03-01T23:09:00-07:00",
-          "2010-03-01T23:10:00-07:00",
-          "2010-03-01T23:11:00-07:00",
-          "2010-03-01T23:12:00-07:00",
-          "2010-03-01T23:13:00-07:00",
-          "2010-03-01T23:14:00-07:00",
-          "2010-03-01T23:15:00-07:00",
-          "2010-03-01T23:16:00-07:00",
-          "2010-03-01T23:17:00-07:00",
-          "2010-03-01T23:18:00-07:00",
-          "2010-03-01T23:19:00-07:00",
-          "2010-03-01T23:20:00-07:00",
-          "2010-03-01T23:21:00-07:00",
-          "2010-03-01T23:22:00-07:00",
-          "2010-03-01T23:23:00-07:00",
-          "2010-03-01T23:24:00-07:00",
-          "2010-03-01T23:25:00-07:00",
-          "2010-03-01T23:26:00-07:00",
-          "2010-03-01T23:27:00-07:00",
-          "2010-03-01T23:28:00-07:00",
-          "2010-03-01T23:29:00-07:00",
-          "2010-03-01T23:30:00-07:00",
-          "2010-03-01T23:31:00-07:00",
-          "2010-03-01T23:32:00-07:00",
-          "2010-03-01T23:33:00-07:00",
-          "2010-03-01T23:34:00-07:00",
-          "2010-03-01T23:35:00-07:00",
-          "2010-03-01T23:36:00-07:00",
-          "2010-03-01T23:37:00-07:00",
-          "2010-03-01T23:38:00-07:00",
-          "2010-03-01T23:39:00-07:00",
-          "2010-03-01T23:40:00-07:00",
-          "2010-03-01T23:41:00-07:00",
-          "2010-03-01T23:42:00-07:00",
-          "2010-03-01T23:43:00-07:00",
-          "2010-03-01T23:44:00-07:00",
-          "2010-03-01T23:45:00-07:00",
-          "2010-03-01T23:46:00-07:00",
-          "2010-03-01T23:47:00-07:00",
-          "2010-03-01T23:48:00-07:00",
-          "2010-03-01T23:49:00-07:00",
-          "2010-03-01T23:50:00-07:00",
-          "2010-03-01T23:51:00-07:00",
-          "2010-03-01T23:52:00-07:00",
-          "2010-03-01T23:53:00-07:00",
-          "2010-03-01T23:54:00-07:00",
-          "2010-03-01T23:55:00-07:00",
-          "2010-03-01T23:56:00-07:00",
-          "2010-03-01T23:57:00-07:00",
-          "2010-03-01T23:58:00-07:00",
-          "2010-03-01T23:59:00-07:00",
-          "2010-03-02T00:00:00-07:00",
-          "2010-03-02T00:01:00-07:00",
-          "2010-03-02T00:02:00-07:00",
-          "2010-03-02T00:03:00-07:00",
-          "2010-03-02T00:04:00-07:00",
-          "2010-03-02T00:05:00-07:00",
-          "2010-03-02T00:06:00-07:00",
-          "2010-03-02T00:07:00-07:00",
-          "2010-03-02T00:08:00-07:00",
-          "2010-03-02T00:09:00-07:00",
-          "2010-03-02T00:10:00-07:00",
-          "2010-03-02T00:11:00-07:00",
-          "2010-03-02T00:12:00-07:00",
-          "2010-03-02T00:13:00-07:00",
-          "2010-03-02T00:14:00-07:00",
-          "2010-03-02T00:15:00-07:00",
-          "2010-03-02T00:16:00-07:00",
-          "2010-03-02T00:17:00-07:00",
-          "2010-03-02T00:18:00-07:00",
-          "2010-03-02T00:19:00-07:00",
-          "2010-03-02T00:20:00-07:00",
-          "2010-03-02T00:21:00-07:00",
-          "2010-03-02T00:22:00-07:00",
-          "2010-03-02T00:23:00-07:00",
-          "2010-03-02T00:24:00-07:00",
-          "2010-03-02T00:25:00-07:00",
-          "2010-03-02T00:26:00-07:00",
-          "2010-03-02T00:27:00-07:00",
-          "2010-03-02T00:28:00-07:00",
-          "2010-03-02T00:29:00-07:00",
-          "2010-03-02T00:30:00-07:00",
-          "2010-03-02T00:31:00-07:00",
-          "2010-03-02T00:32:00-07:00",
-          "2010-03-02T00:33:00-07:00",
-          "2010-03-02T00:34:00-07:00",
-          "2010-03-02T00:35:00-07:00",
-          "2010-03-02T00:36:00-07:00",
-          "2010-03-02T00:37:00-07:00",
-          "2010-03-02T00:38:00-07:00",
-          "2010-03-02T00:39:00-07:00",
-          "2010-03-02T00:40:00-07:00",
-          "2010-03-02T00:41:00-07:00",
-          "2010-03-02T00:42:00-07:00",
-          "2010-03-02T00:43:00-07:00",
-          "2010-03-02T00:44:00-07:00",
-          "2010-03-02T00:45:00-07:00",
-          "2010-03-02T00:46:00-07:00",
-          "2010-03-02T00:47:00-07:00",
-          "2010-03-02T00:48:00-07:00",
-          "2010-03-02T00:49:00-07:00",
-          "2010-03-02T00:50:00-07:00",
-          "2010-03-02T00:51:00-07:00",
-          "2010-03-02T00:52:00-07:00",
-          "2010-03-02T00:53:00-07:00",
-          "2010-03-02T00:54:00-07:00",
-          "2010-03-02T00:55:00-07:00",
-          "2010-03-02T00:56:00-07:00",
-          "2010-03-02T00:57:00-07:00",
-          "2010-03-02T00:58:00-07:00",
-          "2010-03-02T00:59:00-07:00",
-          "2010-03-02T01:00:00-07:00",
-          "2010-03-02T01:01:00-07:00",
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-          "2010-03-02T01:03:00-07:00",
-          "2010-03-02T01:04:00-07:00",
-          "2010-03-02T01:05:00-07:00",
-          "2010-03-02T01:06:00-07:00",
-          "2010-03-02T01:07:00-07:00",
-          "2010-03-02T01:08:00-07:00",
-          "2010-03-02T01:09:00-07:00",
-          "2010-03-02T01:10:00-07:00",
-          "2010-03-02T01:11:00-07:00",
-          "2010-03-02T01:12:00-07:00",
-          "2010-03-02T01:13:00-07:00",
-          "2010-03-02T01:14:00-07:00",
-          "2010-03-02T01:15:00-07:00",
-          "2010-03-02T01:16:00-07:00",
-          "2010-03-02T01:17:00-07:00",
-          "2010-03-02T01:18:00-07:00",
-          "2010-03-02T01:19:00-07:00",
-          "2010-03-02T01:20:00-07:00",
-          "2010-03-02T01:21:00-07:00",
-          "2010-03-02T01:22:00-07:00",
-          "2010-03-02T01:23:00-07:00",
-          "2010-03-02T01:24:00-07:00",
-          "2010-03-02T01:25:00-07:00",
-          "2010-03-02T01:26:00-07:00",
-          "2010-03-02T01:27:00-07:00",
-          "2010-03-02T01:28:00-07:00",
-          "2010-03-02T01:29:00-07:00",
-          "2010-03-02T01:30:00-07:00",
-          "2010-03-02T01:31:00-07:00",
-          "2010-03-02T01:32:00-07:00",
-          "2010-03-02T01:33:00-07:00",
-          "2010-03-02T01:34:00-07:00",
-          "2010-03-02T01:35:00-07:00",
-          "2010-03-02T01:36:00-07:00",
-          "2010-03-02T01:37:00-07:00",
-          "2010-03-02T01:38:00-07:00",
-          "2010-03-02T01:39:00-07:00",
-          "2010-03-02T01:40:00-07:00",
-          "2010-03-02T01:41:00-07:00",
-          "2010-03-02T01:42:00-07:00",
-          "2010-03-02T01:43:00-07:00",
-          "2010-03-02T01:44:00-07:00",
-          "2010-03-02T01:45:00-07:00",
-          "2010-03-02T01:46:00-07:00",
-          "2010-03-02T01:47:00-07:00",
-          "2010-03-02T01:48:00-07:00",
-          "2010-03-02T01:49:00-07:00",
-          "2010-03-02T01:50:00-07:00",
-          "2010-03-02T01:51:00-07:00",
-          "2010-03-02T01:52:00-07:00",
-          "2010-03-02T01:53:00-07:00",
-          "2010-03-02T01:54:00-07:00",
-          "2010-03-02T01:55:00-07:00",
-          "2010-03-02T01:56:00-07:00",
-          "2010-03-02T01:57:00-07:00",
-          "2010-03-02T01:58:00-07:00",
-          "2010-03-02T01:59:00-07:00",
-          "2010-03-02T02:00:00-07:00",
-          "2010-03-02T02:01:00-07:00",
-          "2010-03-02T02:02:00-07:00",
-          "2010-03-02T02:03:00-07:00",
-          "2010-03-02T02:04:00-07:00",
-          "2010-03-02T02:05:00-07:00",
-          "2010-03-02T02:06:00-07:00",
-          "2010-03-02T02:07:00-07:00",
-          "2010-03-02T02:08:00-07:00",
-          "2010-03-02T02:09:00-07:00",
-          "2010-03-02T02:10:00-07:00",
-          "2010-03-02T02:11:00-07:00",
-          "2010-03-02T02:12:00-07:00",
-          "2010-03-02T02:13:00-07:00",
-          "2010-03-02T02:14:00-07:00",
-          "2010-03-02T02:15:00-07:00",
-          "2010-03-02T02:16:00-07:00",
-          "2010-03-02T02:17:00-07:00",
-          "2010-03-02T02:18:00-07:00",
-          "2010-03-02T02:19:00-07:00",
-          "2010-03-02T02:20:00-07:00",
-          "2010-03-02T02:21:00-07:00",
-          "2010-03-02T02:22:00-07:00",
-          "2010-03-02T02:23:00-07:00",
-          "2010-03-02T02:24:00-07:00",
-          "2010-03-02T02:25:00-07:00",
-          "2010-03-02T02:26:00-07:00",
-          "2010-03-02T02:27:00-07:00",
-          "2010-03-02T02:28:00-07:00",
-          "2010-03-02T02:29:00-07:00",
-          "2010-03-02T02:30:00-07:00",
-          "2010-03-02T02:31:00-07:00",
-          "2010-03-02T02:32:00-07:00",
-          "2010-03-02T02:33:00-07:00",
-          "2010-03-02T02:34:00-07:00",
-          "2010-03-02T02:35:00-07:00",
-          "2010-03-02T02:36:00-07:00",
-          "2010-03-02T02:37:00-07:00",
-          "2010-03-02T02:38:00-07:00",
-          "2010-03-02T02:39:00-07:00",
-          "2010-03-02T02:40:00-07:00",
-          "2010-03-02T02:41:00-07:00",
-          "2010-03-02T02:42:00-07:00",
-          "2010-03-02T02:43:00-07:00",
-          "2010-03-02T02:44:00-07:00",
-          "2010-03-02T02:45:00-07:00",
-          "2010-03-02T02:46:00-07:00",
-          "2010-03-02T02:47:00-07:00",
-          "2010-03-02T02:48:00-07:00",
-          "2010-03-02T02:49:00-07:00",
-          "2010-03-02T02:50:00-07:00",
-          "2010-03-02T02:51:00-07:00",
-          "2010-03-02T02:52:00-07:00",
-          "2010-03-02T02:53:00-07:00",
-          "2010-03-02T02:54:00-07:00",
-          "2010-03-02T02:55:00-07:00",
-          "2010-03-02T02:56:00-07:00",
-          "2010-03-02T02:57:00-07:00",
-          "2010-03-02T02:58:00-07:00",
-          "2010-03-02T02:59:00-07:00",
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-          "2010-03-02T03:11:00-07:00",
-          "2010-03-02T03:12:00-07:00",
-          "2010-03-02T03:13:00-07:00",
-          "2010-03-02T03:14:00-07:00",
-          "2010-03-02T03:15:00-07:00",
-          "2010-03-02T03:16:00-07:00",
-          "2010-03-02T03:17:00-07:00",
-          "2010-03-02T03:18:00-07:00",
-          "2010-03-02T03:19:00-07:00",
-          "2010-03-02T03:20:00-07:00",
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-          "2010-03-02T03:23:00-07:00",
-          "2010-03-02T03:24:00-07:00",
-          "2010-03-02T03:25:00-07:00",
-          "2010-03-02T03:26:00-07:00",
-          "2010-03-02T03:27:00-07:00",
-          "2010-03-02T03:28:00-07:00",
-          "2010-03-02T03:29:00-07:00",
-          "2010-03-02T03:30:00-07:00",
-          "2010-03-02T03:31:00-07:00",
-          "2010-03-02T03:32:00-07:00",
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-          "2010-03-02T03:34:00-07:00",
-          "2010-03-02T03:35:00-07:00",
-          "2010-03-02T03:36:00-07:00",
-          "2010-03-02T03:37:00-07:00",
-          "2010-03-02T03:38:00-07:00",
-          "2010-03-02T03:39:00-07:00",
-          "2010-03-02T03:40:00-07:00",
-          "2010-03-02T03:41:00-07:00",
-          "2010-03-02T03:42:00-07:00",
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-          "2010-03-02T03:52:00-07:00",
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-          "2010-03-02T03:54:00-07:00",
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-          "2010-03-02T03:56:00-07:00",
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-          "2010-03-02T03:59:00-07:00",
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-          "2010-03-02T04:12:00-07:00",
-          "2010-03-02T04:13:00-07:00",
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-          "2010-03-02T04:16:00-07:00",
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-          "2010-03-02T04:30:00-07:00",
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-          "2010-03-02T04:32:00-07:00",
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-          "2010-03-02T04:39:00-07:00",
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-          "2010-03-02T04:41:00-07:00",
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-          "2010-03-02T04:51:00-07:00",
-          "2010-03-02T04:52:00-07:00",
-          "2010-03-02T04:53:00-07:00",
-          "2010-03-02T04:54:00-07:00",
-          "2010-03-02T04:55:00-07:00",
-          "2010-03-02T04:56:00-07:00",
-          "2010-03-02T04:57:00-07:00",
-          "2010-03-02T04:58:00-07:00",
-          "2010-03-02T04:59:00-07:00",
-          "2010-03-02T05:00:00-07:00",
-          "2010-03-02T05:01:00-07:00",
-          "2010-03-02T05:02:00-07:00",
-          "2010-03-02T05:03:00-07:00",
-          "2010-03-02T05:04:00-07:00",
-          "2010-03-02T05:05:00-07:00",
-          "2010-03-02T05:06:00-07:00",
-          "2010-03-02T05:07:00-07:00",
-          "2010-03-02T05:08:00-07:00",
-          "2010-03-02T05:09:00-07:00",
-          "2010-03-02T05:10:00-07:00",
-          "2010-03-02T05:11:00-07:00",
-          "2010-03-02T05:12:00-07:00",
-          "2010-03-02T05:13:00-07:00",
-          "2010-03-02T05:14:00-07:00",
-          "2010-03-02T05:15:00-07:00",
-          "2010-03-02T05:16:00-07:00",
-          "2010-03-02T05:17:00-07:00",
-          "2010-03-02T05:18:00-07:00",
-          "2010-03-02T05:19:00-07:00",
-          "2010-03-02T05:20:00-07:00",
-          "2010-03-02T05:21:00-07:00",
-          "2010-03-02T05:22:00-07:00",
-          "2010-03-02T05:23:00-07:00",
-          "2010-03-02T05:24:00-07:00",
-          "2010-03-02T05:25:00-07:00",
-          "2010-03-02T05:26:00-07:00",
-          "2010-03-02T05:27:00-07:00",
-          "2010-03-02T05:28:00-07:00",
-          "2010-03-02T05:29:00-07:00",
-          "2010-03-02T05:30:00-07:00",
-          "2010-03-02T05:31:00-07:00",
-          "2010-03-02T05:32:00-07:00",
-          "2010-03-02T05:33:00-07:00",
-          "2010-03-02T05:34:00-07:00",
-          "2010-03-02T05:35:00-07:00",
-          "2010-03-02T05:36:00-07:00",
-          "2010-03-02T05:37:00-07:00",
-          "2010-03-02T05:38:00-07:00",
-          "2010-03-02T05:39:00-07:00",
-          "2010-03-02T05:40:00-07:00",
-          "2010-03-02T05:41:00-07:00",
-          "2010-03-02T05:42:00-07:00",
-          "2010-03-02T05:43:00-07:00",
-          "2010-03-02T05:44:00-07:00",
-          "2010-03-02T05:45:00-07:00",
-          "2010-03-02T05:46:00-07:00",
-          "2010-03-02T05:47:00-07:00",
-          "2010-03-02T05:48:00-07:00",
-          "2010-03-02T05:49:00-07:00",
-          "2010-03-02T05:50:00-07:00",
-          "2010-03-02T05:51:00-07:00",
-          "2010-03-02T05:52:00-07:00",
-          "2010-03-02T05:53:00-07:00",
-          "2010-03-02T05:54:00-07:00",
-          "2010-03-02T05:55:00-07:00",
-          "2010-03-02T05:56:00-07:00",
-          "2010-03-02T05:57:00-07:00",
-          "2010-03-02T05:58:00-07:00",
-          "2010-03-02T05:59:00-07:00",
-          "2010-03-02T06:00:00-07:00",
-          "2010-03-02T06:01:00-07:00",
-          "2010-03-02T06:02:00-07:00",
-          "2010-03-02T06:03:00-07:00",
-          "2010-03-02T06:04:00-07:00",
-          "2010-03-02T06:05:00-07:00",
-          "2010-03-02T06:06:00-07:00",
-          "2010-03-02T06:07:00-07:00",
-          "2010-03-02T06:08:00-07:00",
-          "2010-03-02T06:09:00-07:00",
-          "2010-03-02T06:10:00-07:00",
-          "2010-03-02T06:11:00-07:00",
-          "2010-03-02T06:12:00-07:00",
-          "2010-03-02T06:13:00-07:00",
-          "2010-03-02T06:14:00-07:00",
-          "2010-03-02T06:15:00-07:00",
-          "2010-03-02T06:16:00-07:00",
-          "2010-03-02T06:17:00-07:00",
-          "2010-03-02T06:18:00-07:00",
-          "2010-03-02T06:19:00-07:00",
-          "2010-03-02T06:20:00-07:00",
-          "2010-03-02T06:21:00-07:00",
-          "2010-03-02T06:22:00-07:00",
-          "2010-03-02T06:23:00-07:00",
-          "2010-03-02T06:24:00-07:00",
-          "2010-03-02T06:25:00-07:00",
-          "2010-03-02T06:26:00-07:00",
-          "2010-03-02T06:27:00-07:00",
-          "2010-03-02T06:28:00-07:00",
-          "2010-03-02T06:29:00-07:00",
-          "2010-03-02T06:30:00-07:00",
-          "2010-03-02T06:31:00-07:00",
-          "2010-03-02T06:32:00-07:00",
-          "2010-03-02T06:33:00-07:00",
-          "2010-03-02T06:34:00-07:00",
-          "2010-03-02T06:35:00-07:00",
-          "2010-03-02T06:36:00-07:00",
-          "2010-03-02T09:57:00-07:00",
-          "2010-03-02T10:03:00-07:00",
-          "2010-03-02T10:06:00-07:00",
-          "2010-03-02T10:14:00-07:00",
-          "2010-03-02T10:15:00-07:00",
-          "2010-03-02T10:16:00-07:00",
-          "2010-03-02T10:24:00-07:00",
-          "2010-03-02T10:26:00-07:00",
-          "2010-03-02T10:27:00-07:00",
-          "2010-03-02T10:28:00-07:00",
-          "2010-03-02T10:31:00-07:00",
-          "2010-03-02T10:35:00-07:00",
-          "2010-03-02T10:38:00-07:00",
-          "2010-03-02T10:39:00-07:00",
-          "2010-03-02T10:40:00-07:00",
-          "2010-03-02T10:44:00-07:00",
-          "2010-03-02T10:47:00-07:00",
-          "2010-03-02T10:50:00-07:00",
-          "2010-03-02T10:51:00-07:00",
-          "2010-03-02T10:54:00-07:00",
-          "2010-03-02T11:02:00-07:00",
-          "2010-03-02T11:03:00-07:00",
-          "2010-03-02T11:06:00-07:00",
-          "2010-03-02T11:09:00-07:00",
-          "2010-03-02T11:10:00-07:00",
-          "2010-03-02T11:13:00-07:00",
-          "2010-03-02T11:17:00-07:00",
-          "2010-03-02T11:18:00-07:00",
-          "2010-03-02T11:19:00-07:00",
-          "2010-03-02T11:20:00-07:00",
-          "2010-03-02T11:22:00-07:00",
-          "2010-03-02T11:25:00-07:00",
-          "2010-03-02T11:26:00-07:00",
-          "2010-03-02T11:27:00-07:00",
-          "2010-03-02T11:29:00-07:00",
-          "2010-03-02T11:31:00-07:00",
-          "2010-03-02T11:33:00-07:00",
-          "2010-03-02T11:34:00-07:00",
-          "2010-03-02T11:35:00-07:00",
-          "2010-03-02T11:37:00-07:00",
-          "2010-03-02T11:38:00-07:00",
-          "2010-03-02T11:39:00-07:00",
-          "2010-03-02T11:42:00-07:00",
-          "2010-03-02T11:43:00-07:00",
-          "2010-03-02T11:44:00-07:00",
-          "2010-03-02T11:46:00-07:00",
-          "2010-03-02T11:49:00-07:00",
-          "2010-03-02T11:50:00-07:00",
-          "2010-03-02T11:51:00-07:00",
-          "2010-03-02T11:52:00-07:00",
-          "2010-03-02T11:53:00-07:00",
-          "2010-03-02T11:54:00-07:00",
-          "2010-03-02T11:58:00-07:00",
-          "2010-03-02T11:59:00-07:00",
-          "2010-03-02T12:00:00-07:00",
-          "2010-03-02T12:01:00-07:00",
-          "2010-03-02T12:02:00-07:00",
-          "2010-03-02T12:03:00-07:00",
-          "2010-03-02T12:04:00-07:00",
-          "2010-03-02T12:08:00-07:00",
-          "2010-03-02T12:09:00-07:00",
-          "2010-03-02T12:11:00-07:00",
-          "2010-03-02T12:12:00-07:00",
-          "2010-03-02T12:13:00-07:00",
-          "2010-03-02T12:14:00-07:00",
-          "2010-03-02T12:16:00-07:00",
-          "2010-03-02T12:18:00-07:00",
-          "2010-03-02T12:22:00-07:00",
-          "2010-03-02T12:23:00-07:00",
-          "2010-03-02T12:28:00-07:00",
-          "2010-03-02T12:32:00-07:00",
-          "2010-03-02T12:43:00-07:00",
-          "2010-03-02T12:46:00-07:00",
-          "2010-03-02T12:48:00-07:00",
-          "2010-03-02T12:49:00-07:00",
-          "2010-03-02T12:50:00-07:00",
-          "2010-03-02T12:52:00-07:00",
-          "2010-03-02T12:56:00-07:00",
-          "2010-03-02T12:57:00-07:00",
-          "2010-03-02T12:58:00-07:00",
-          "2010-03-02T13:01:00-07:00",
-          "2010-03-02T13:02:00-07:00",
-          "2010-03-02T13:05:00-07:00",
-          "2010-03-02T13:06:00-07:00",
-          "2010-03-02T13:08:00-07:00",
-          "2010-03-02T13:09:00-07:00",
-          "2010-03-02T13:10:00-07:00",
-          "2010-03-02T13:11:00-07:00",
-          "2010-03-02T13:15:00-07:00",
-          "2010-03-02T13:17:00-07:00",
-          "2010-03-02T13:18:00-07:00",
-          "2010-03-02T13:21:00-07:00",
-          "2010-03-02T13:22:00-07:00",
-          "2010-03-02T13:25:00-07:00",
-          "2010-03-02T13:28:00-07:00",
-          "2010-03-02T13:29:00-07:00",
-          "2010-03-02T13:31:00-07:00",
-          "2010-03-02T13:32:00-07:00",
-          "2010-03-02T13:33:00-07:00",
-          "2010-03-02T13:35:00-07:00",
-          "2010-03-02T13:41:00-07:00",
-          "2010-03-02T13:44:00-07:00",
-          "2010-03-02T13:45:00-07:00",
-          "2010-03-02T13:48:00-07:00",
-          "2010-03-02T13:49:00-07:00",
-          "2010-03-02T13:51:00-07:00",
-          "2010-03-02T13:53:00-07:00",
-          "2010-03-02T13:57:00-07:00",
-          "2010-03-02T14:01:00-07:00",
-          "2010-03-02T14:02:00-07:00",
-          "2010-03-02T14:04:00-07:00",
-          "2010-03-02T14:07:00-07:00",
-          "2010-03-02T17:41:00-07:00",
-          "2010-03-02T17:42:00-07:00",
-          "2010-03-02T17:43:00-07:00",
-          "2010-03-02T17:44:00-07:00",
-          "2010-03-02T17:45:00-07:00",
-          "2010-03-02T17:46:00-07:00",
-          "2010-03-02T17:47:00-07:00",
-          "2010-03-02T17:48:00-07:00",
-          "2010-03-02T17:49:00-07:00",
-          "2010-03-02T17:50:00-07:00",
-          "2010-03-02T17:51:00-07:00",
-          "2010-03-02T17:52:00-07:00",
-          "2010-03-02T17:53:00-07:00",
-          "2010-03-02T17:54:00-07:00",
-          "2010-03-02T17:55:00-07:00",
-          "2010-03-02T17:56:00-07:00",
-          "2010-03-02T17:57:00-07:00",
-          "2010-03-02T17:58:00-07:00",
-          "2010-03-02T17:59:00-07:00",
-          "2010-03-02T18:00:00-07:00",
-          "2010-03-02T18:01:00-07:00",
-          "2010-03-02T18:02:00-07:00",
-          "2010-03-02T18:03:00-07:00",
-          "2010-03-02T18:04:00-07:00",
-          "2010-03-02T18:05:00-07:00",
-          "2010-03-02T18:06:00-07:00",
-          "2010-03-02T18:07:00-07:00",
-          "2010-03-02T18:08:00-07:00",
-          "2010-03-02T18:09:00-07:00",
-          "2010-03-02T18:10:00-07:00",
-          "2010-03-02T18:11:00-07:00",
-          "2010-03-02T18:12:00-07:00",
-          "2010-03-02T18:13:00-07:00",
-          "2010-03-02T18:14:00-07:00",
-          "2010-03-02T18:15:00-07:00",
-          "2010-03-02T18:16:00-07:00",
-          "2010-03-02T18:17:00-07:00",
-          "2010-03-02T18:18:00-07:00",
-          "2010-03-02T18:19:00-07:00",
-          "2010-03-02T18:20:00-07:00",
-          "2010-03-02T18:21:00-07:00",
-          "2010-03-02T18:22:00-07:00",
-          "2010-03-02T18:23:00-07:00",
-          "2010-03-02T18:24:00-07:00",
-          "2010-03-02T18:25:00-07:00",
-          "2010-03-02T18:26:00-07:00",
-          "2010-03-02T18:27:00-07:00",
-          "2010-03-02T18:28:00-07:00",
-          "2010-03-02T18:29:00-07:00",
-          "2010-03-02T18:30:00-07:00",
-          "2010-03-02T18:31:00-07:00",
-          "2010-03-02T18:32:00-07:00",
-          "2010-03-02T18:33:00-07:00",
-          "2010-03-02T18:34:00-07:00",
-          "2010-03-02T18:35:00-07:00",
-          "2010-03-02T18:36:00-07:00",
-          "2010-03-02T18:37:00-07:00",
-          "2010-03-02T18:38:00-07:00",
-          "2010-03-02T18:39:00-07:00",
-          "2010-03-02T18:40:00-07:00",
-          "2010-03-02T18:41:00-07:00",
-          "2010-03-02T18:42:00-07:00",
-          "2010-03-02T18:43:00-07:00",
-          "2010-03-02T18:44:00-07:00",
-          "2010-03-02T18:45:00-07:00",
-          "2010-03-02T18:46:00-07:00",
-          "2010-03-02T18:47:00-07:00",
-          "2010-03-02T18:48:00-07:00",
-          "2010-03-02T18:49:00-07:00",
-          "2010-03-02T18:50:00-07:00",
-          "2010-03-02T18:51:00-07:00",
-          "2010-03-02T18:52:00-07:00",
-          "2010-03-02T18:53:00-07:00",
-          "2010-03-02T18:54:00-07:00",
-          "2010-03-02T18:55:00-07:00",
-          "2010-03-02T18:56:00-07:00",
-          "2010-03-02T18:57:00-07:00",
-          "2010-03-02T18:58:00-07:00",
-          "2010-03-02T18:59:00-07:00",
-          "2010-03-02T19:00:00-07:00",
-          "2010-03-02T19:01:00-07:00",
-          "2010-03-02T19:02:00-07:00",
-          "2010-03-02T19:03:00-07:00",
-          "2010-03-02T19:04:00-07:00",
-          "2010-03-02T19:05:00-07:00",
-          "2010-03-02T19:06:00-07:00",
-          "2010-03-02T19:07:00-07:00",
-          "2010-03-02T19:08:00-07:00",
-          "2010-03-02T19:09:00-07:00",
-          "2010-03-02T19:10:00-07:00",
-          "2010-03-02T19:11:00-07:00",
-          "2010-03-02T19:12:00-07:00",
-          "2010-03-02T19:13:00-07:00",
-          "2010-03-02T19:14:00-07:00",
-          "2010-03-02T19:15:00-07:00",
-          "2010-03-02T19:16:00-07:00",
-          "2010-03-02T19:17:00-07:00",
-          "2010-03-02T19:18:00-07:00",
-          "2010-03-02T19:19:00-07:00",
-          "2010-03-02T19:20:00-07:00",
-          "2010-03-02T19:21:00-07:00",
-          "2010-03-02T19:22:00-07:00",
-          "2010-03-02T19:23:00-07:00",
-          "2010-03-02T19:24:00-07:00",
-          "2010-03-02T19:25:00-07:00",
-          "2010-03-02T19:26:00-07:00",
-          "2010-03-02T19:27:00-07:00",
-          "2010-03-02T19:28:00-07:00",
-          "2010-03-02T19:29:00-07:00",
-          "2010-03-02T19:30:00-07:00",
-          "2010-03-02T19:31:00-07:00",
-          "2010-03-02T19:32:00-07:00",
-          "2010-03-02T19:33:00-07:00",
-          "2010-03-02T19:34:00-07:00",
-          "2010-03-02T19:35:00-07:00",
-          "2010-03-02T19:36:00-07:00",
-          "2010-03-02T19:37:00-07:00",
-          "2010-03-02T19:38:00-07:00",
-          "2010-03-02T19:39:00-07:00",
-          "2010-03-02T19:40:00-07:00",
-          "2010-03-02T19:41:00-07:00",
-          "2010-03-02T19:42:00-07:00",
-          "2010-03-02T19:43:00-07:00",
-          "2010-03-02T19:44:00-07:00",
-          "2010-03-02T19:45:00-07:00",
-          "2010-03-02T19:46:00-07:00",
-          "2010-03-02T19:47:00-07:00",
-          "2010-03-02T19:48:00-07:00",
-          "2010-03-02T19:49:00-07:00",
-          "2010-03-02T19:50:00-07:00",
-          "2010-03-02T19:51:00-07:00",
-          "2010-03-02T19:52:00-07:00",
-          "2010-03-02T19:53:00-07:00",
-          "2010-03-02T19:54:00-07:00",
-          "2010-03-02T19:55:00-07:00",
-          "2010-03-02T19:56:00-07:00",
-          "2010-03-02T19:57:00-07:00",
-          "2010-03-02T19:58:00-07:00",
-          "2010-03-02T19:59:00-07:00",
-          "2010-03-02T20:00:00-07:00",
-          "2010-03-02T20:01:00-07:00",
-          "2010-03-02T20:02:00-07:00",
-          "2010-03-02T20:03:00-07:00",
-          "2010-03-02T20:04:00-07:00",
-          "2010-03-02T20:05:00-07:00",
-          "2010-03-02T20:06:00-07:00",
-          "2010-03-02T20:07:00-07:00",
-          "2010-03-02T20:08:00-07:00",
-          "2010-03-02T20:09:00-07:00",
-          "2010-03-02T20:10:00-07:00",
-          "2010-03-02T20:11:00-07:00",
-          "2010-03-02T20:12:00-07:00",
-          "2010-03-02T20:13:00-07:00",
-          "2010-03-02T20:14:00-07:00",
-          "2010-03-02T20:15:00-07:00",
-          "2010-03-02T20:16:00-07:00",
-          "2010-03-02T20:17:00-07:00",
-          "2010-03-02T20:18:00-07:00",
-          "2010-03-02T20:19:00-07:00",
-          "2010-03-02T20:20:00-07:00",
-          "2010-03-02T20:21:00-07:00",
-          "2010-03-02T20:22:00-07:00",
-          "2010-03-02T20:23:00-07:00",
-          "2010-03-02T20:24:00-07:00",
-          "2010-03-02T20:25:00-07:00",
-          "2010-03-02T20:26:00-07:00",
-          "2010-03-02T20:27:00-07:00",
-          "2010-03-02T20:28:00-07:00",
-          "2010-03-02T20:29:00-07:00",
-          "2010-03-02T20:30:00-07:00",
-          "2010-03-02T20:31:00-07:00",
-          "2010-03-02T20:32:00-07:00",
-          "2010-03-02T20:33:00-07:00",
-          "2010-03-02T20:34:00-07:00",
-          "2010-03-02T20:35:00-07:00",
-          "2010-03-02T20:36:00-07:00",
-          "2010-03-02T20:37:00-07:00",
-          "2010-03-02T20:38:00-07:00",
-          "2010-03-02T20:39:00-07:00",
-          "2010-03-02T20:40:00-07:00",
-          "2010-03-02T20:41:00-07:00",
-          "2010-03-02T20:42:00-07:00",
-          "2010-03-02T20:43:00-07:00",
-          "2010-03-02T20:44:00-07:00",
-          "2010-03-02T20:45:00-07:00",
-          "2010-03-02T20:46:00-07:00",
-          "2010-03-02T20:47:00-07:00",
-          "2010-03-02T20:48:00-07:00",
-          "2010-03-02T20:49:00-07:00",
-          "2010-03-02T20:50:00-07:00",
-          "2010-03-02T20:51:00-07:00",
-          "2010-03-02T20:52:00-07:00",
-          "2010-03-02T20:53:00-07:00",
-          "2010-03-02T20:54:00-07:00",
-          "2010-03-02T20:55:00-07:00",
-          "2010-03-02T20:56:00-07:00",
-          "2010-03-02T20:57:00-07:00",
-          "2010-03-02T20:58:00-07:00",
-          "2010-03-02T20:59:00-07:00",
-          "2010-03-02T21:00:00-07:00",
-          "2010-03-02T21:01:00-07:00",
-          "2010-03-02T21:02:00-07:00",
-          "2010-03-02T21:03:00-07:00",
-          "2010-03-02T21:04:00-07:00",
-          "2010-03-02T21:05:00-07:00",
-          "2010-03-02T21:06:00-07:00",
-          "2010-03-02T21:07:00-07:00",
-          "2010-03-02T21:08:00-07:00",
-          "2010-03-02T21:09:00-07:00",
-          "2010-03-02T21:10:00-07:00",
-          "2010-03-02T21:11:00-07:00",
-          "2010-03-02T21:12:00-07:00",
-          "2010-03-02T21:13:00-07:00",
-          "2010-03-02T21:14:00-07:00",
-          "2010-03-02T21:15:00-07:00",
-          "2010-03-02T21:16:00-07:00",
-          "2010-03-02T21:17:00-07:00",
-          "2010-03-02T21:18:00-07:00",
-          "2010-03-02T21:19:00-07:00",
-          "2010-03-02T21:20:00-07:00",
-          "2010-03-02T21:21:00-07:00",
-          "2010-03-02T21:22:00-07:00",
-          "2010-03-02T21:23:00-07:00",
-          "2010-03-02T21:24:00-07:00",
-          "2010-03-02T21:25:00-07:00",
-          "2010-03-02T21:26:00-07:00",
-          "2010-03-02T21:27:00-07:00",
-          "2010-03-02T21:28:00-07:00",
-          "2010-03-02T21:29:00-07:00",
-          "2010-03-02T21:30:00-07:00",
-          "2010-03-02T21:31:00-07:00",
-          "2010-03-02T21:32:00-07:00",
-          "2010-03-02T21:33:00-07:00",
-          "2010-03-02T21:34:00-07:00",
-          "2010-03-02T21:35:00-07:00",
-          "2010-03-02T21:36:00-07:00",
-          "2010-03-02T21:37:00-07:00",
-          "2010-03-02T21:38:00-07:00",
-          "2010-03-02T21:39:00-07:00",
-          "2010-03-02T21:40:00-07:00",
-          "2010-03-02T21:41:00-07:00",
-          "2010-03-02T21:42:00-07:00",
-          "2010-03-02T21:43:00-07:00",
-          "2010-03-02T21:44:00-07:00",
-          "2010-03-02T21:45:00-07:00",
-          "2010-03-02T21:46:00-07:00",
-          "2010-03-02T21:47:00-07:00",
-          "2010-03-02T21:48:00-07:00",
-          "2010-03-02T21:49:00-07:00",
-          "2010-03-02T21:50:00-07:00",
-          "2010-03-02T21:51:00-07:00",
-          "2010-03-02T21:52:00-07:00",
-          "2010-03-02T21:53:00-07:00",
-          "2010-03-02T21:54:00-07:00",
-          "2010-03-02T21:55:00-07:00",
-          "2010-03-02T21:56:00-07:00",
-          "2010-03-02T21:57:00-07:00",
-          "2010-03-02T21:58:00-07:00",
-          "2010-03-02T21:59:00-07:00",
-          "2010-03-02T22:00:00-07:00",
-          "2010-03-02T22:01:00-07:00",
-          "2010-03-02T22:02:00-07:00",
-          "2010-03-02T22:03:00-07:00",
-          "2010-03-02T22:04:00-07:00",
-          "2010-03-02T22:05:00-07:00",
-          "2010-03-02T22:06:00-07:00",
-          "2010-03-02T22:07:00-07:00",
-          "2010-03-02T22:08:00-07:00",
-          "2010-03-02T22:09:00-07:00",
-          "2010-03-02T22:10:00-07:00",
-          "2010-03-02T22:11:00-07:00",
-          "2010-03-02T22:12:00-07:00",
-          "2010-03-02T22:13:00-07:00",
-          "2010-03-02T22:14:00-07:00",
-          "2010-03-02T22:15:00-07:00",
-          "2010-03-02T22:16:00-07:00",
-          "2010-03-02T22:17:00-07:00",
-          "2010-03-02T22:18:00-07:00",
-          "2010-03-02T22:19:00-07:00",
-          "2010-03-02T22:20:00-07:00",
-          "2010-03-02T22:21:00-07:00",
-          "2010-03-02T22:22:00-07:00",
-          "2010-03-02T22:23:00-07:00",
-          "2010-03-02T22:24:00-07:00",
-          "2010-03-02T22:25:00-07:00",
-          "2010-03-02T22:26:00-07:00",
-          "2010-03-02T22:27:00-07:00",
-          "2010-03-02T22:28:00-07:00",
-          "2010-03-02T22:29:00-07:00",
-          "2010-03-02T22:30:00-07:00",
-          "2010-03-02T22:31:00-07:00",
-          "2010-03-02T22:32:00-07:00",
-          "2010-03-02T22:33:00-07:00",
-          "2010-03-02T22:34:00-07:00",
-          "2010-03-02T22:35:00-07:00",
-          "2010-03-02T22:36:00-07:00",
-          "2010-03-02T22:37:00-07:00",
-          "2010-03-02T22:38:00-07:00",
-          "2010-03-02T22:39:00-07:00",
-          "2010-03-02T22:40:00-07:00",
-          "2010-03-02T22:41:00-07:00",
-          "2010-03-02T22:42:00-07:00",
-          "2010-03-02T22:43:00-07:00",
-          "2010-03-02T22:44:00-07:00",
-          "2010-03-02T22:45:00-07:00",
-          "2010-03-02T22:46:00-07:00",
-          "2010-03-02T22:47:00-07:00",
-          "2010-03-02T22:48:00-07:00",
-          "2010-03-02T22:49:00-07:00",
-          "2010-03-02T22:50:00-07:00",
-          "2010-03-02T22:51:00-07:00",
-          "2010-03-02T22:52:00-07:00",
-          "2010-03-02T22:53:00-07:00",
-          "2010-03-02T22:54:00-07:00",
-          "2010-03-02T22:55:00-07:00",
-          "2010-03-02T22:56:00-07:00",
-          "2010-03-02T22:57:00-07:00",
-          "2010-03-02T22:58:00-07:00",
-          "2010-03-02T22:59:00-07:00",
-          "2010-03-02T23:00:00-07:00",
-          "2010-03-02T23:01:00-07:00",
-          "2010-03-02T23:02:00-07:00",
-          "2010-03-02T23:03:00-07:00",
-          "2010-03-02T23:04:00-07:00",
-          "2010-03-02T23:05:00-07:00",
-          "2010-03-02T23:06:00-07:00",
-          "2010-03-02T23:07:00-07:00",
-          "2010-03-02T23:08:00-07:00",
-          "2010-03-02T23:09:00-07:00",
-          "2010-03-02T23:10:00-07:00",
-          "2010-03-02T23:11:00-07:00",
-          "2010-03-02T23:12:00-07:00",
-          "2010-03-02T23:13:00-07:00",
-          "2010-03-02T23:14:00-07:00",
-          "2010-03-02T23:15:00-07:00",
-          "2010-03-02T23:16:00-07:00",
-          "2010-03-02T23:17:00-07:00",
-          "2010-03-02T23:18:00-07:00",
-          "2010-03-02T23:19:00-07:00",
-          "2010-03-02T23:20:00-07:00",
-          "2010-03-02T23:21:00-07:00",
-          "2010-03-02T23:22:00-07:00",
-          "2010-03-02T23:23:00-07:00",
-          "2010-03-02T23:24:00-07:00",
-          "2010-03-02T23:25:00-07:00",
-          "2010-03-02T23:26:00-07:00",
-          "2010-03-02T23:27:00-07:00",
-          "2010-03-02T23:28:00-07:00",
-          "2010-03-02T23:29:00-07:00",
-          "2010-03-02T23:30:00-07:00",
-          "2010-03-02T23:31:00-07:00",
-          "2010-03-02T23:32:00-07:00",
-          "2010-03-02T23:33:00-07:00",
-          "2010-03-02T23:34:00-07:00",
-          "2010-03-02T23:35:00-07:00",
-          "2010-03-02T23:36:00-07:00",
-          "2010-03-02T23:37:00-07:00",
-          "2010-03-02T23:38:00-07:00",
-          "2010-03-02T23:39:00-07:00",
-          "2010-03-02T23:40:00-07:00",
-          "2010-03-02T23:41:00-07:00",
-          "2010-03-02T23:42:00-07:00",
-          "2010-03-02T23:43:00-07:00",
-          "2010-03-02T23:44:00-07:00",
-          "2010-03-02T23:45:00-07:00",
-          "2010-03-02T23:46:00-07:00",
-          "2010-03-02T23:47:00-07:00",
-          "2010-03-02T23:48:00-07:00",
-          "2010-03-02T23:49:00-07:00",
-          "2010-03-02T23:50:00-07:00",
-          "2010-03-02T23:51:00-07:00",
-          "2010-03-02T23:52:00-07:00",
-          "2010-03-02T23:53:00-07:00",
-          "2010-03-02T23:54:00-07:00",
-          "2010-03-02T23:55:00-07:00",
-          "2010-03-02T23:56:00-07:00",
-          "2010-03-02T23:57:00-07:00",
-          "2010-03-02T23:58:00-07:00",
-          "2010-03-02T23:59:00-07:00",
-          "2010-03-03T00:00:00-07:00",
-          "2010-03-03T00:01:00-07:00",
-          "2010-03-03T00:02:00-07:00",
-          "2010-03-03T00:03:00-07:00",
-          "2010-03-03T00:04:00-07:00",
-          "2010-03-03T00:05:00-07:00",
-          "2010-03-03T00:06:00-07:00",
-          "2010-03-03T00:07:00-07:00",
-          "2010-03-03T00:08:00-07:00",
-          "2010-03-03T00:09:00-07:00",
-          "2010-03-03T00:10:00-07:00",
-          "2010-03-03T00:11:00-07:00",
-          "2010-03-03T00:12:00-07:00",
-          "2010-03-03T00:13:00-07:00",
-          "2010-03-03T00:14:00-07:00",
-          "2010-03-03T00:15:00-07:00",
-          "2010-03-03T00:16:00-07:00",
-          "2010-03-03T00:17:00-07:00",
-          "2010-03-03T00:18:00-07:00",
-          "2010-03-03T00:19:00-07:00",
-          "2010-03-03T00:20:00-07:00",
-          "2010-03-03T00:21:00-07:00",
-          "2010-03-03T00:22:00-07:00",
-          "2010-03-03T00:23:00-07:00",
-          "2010-03-03T00:24:00-07:00",
-          "2010-03-03T00:25:00-07:00",
-          "2010-03-03T00:26:00-07:00",
-          "2010-03-03T00:27:00-07:00",
-          "2010-03-03T00:28:00-07:00",
-          "2010-03-03T00:29:00-07:00",
-          "2010-03-03T00:30:00-07:00",
-          "2010-03-03T00:31:00-07:00",
-          "2010-03-03T00:32:00-07:00",
-          "2010-03-03T00:33:00-07:00",
-          "2010-03-03T00:34:00-07:00",
-          "2010-03-03T00:35:00-07:00",
-          "2010-03-03T00:36:00-07:00",
-          "2010-03-03T00:37:00-07:00",
-          "2010-03-03T00:38:00-07:00",
-          "2010-03-03T00:39:00-07:00",
-          "2010-03-03T00:40:00-07:00",
-          "2010-03-03T00:41:00-07:00",
-          "2010-03-03T00:42:00-07:00",
-          "2010-03-03T00:43:00-07:00",
-          "2010-03-03T00:44:00-07:00",
-          "2010-03-03T00:45:00-07:00",
-          "2010-03-03T00:46:00-07:00",
-          "2010-03-03T00:47:00-07:00",
-          "2010-03-03T00:48:00-07:00",
-          "2010-03-03T00:49:00-07:00",
-          "2010-03-03T00:50:00-07:00",
-          "2010-03-03T00:51:00-07:00",
-          "2010-03-03T00:52:00-07:00",
-          "2010-03-03T00:53:00-07:00",
-          "2010-03-03T00:54:00-07:00",
-          "2010-03-03T00:55:00-07:00",
-          "2010-03-03T00:56:00-07:00",
-          "2010-03-03T00:57:00-07:00",
-          "2010-03-03T00:58:00-07:00",
-          "2010-03-03T00:59:00-07:00",
-          "2010-03-03T01:00:00-07:00",
-          "2010-03-03T01:01:00-07:00",
-          "2010-03-03T01:02:00-07:00",
-          "2010-03-03T01:03:00-07:00",
-          "2010-03-03T01:04:00-07:00",
-          "2010-03-03T01:05:00-07:00",
-          "2010-03-03T01:06:00-07:00",
-          "2010-03-03T01:07:00-07:00",
-          "2010-03-03T01:08:00-07:00",
-          "2010-03-03T01:09:00-07:00",
-          "2010-03-03T01:10:00-07:00",
-          "2010-03-03T01:11:00-07:00",
-          "2010-03-03T01:12:00-07:00",
-          "2010-03-03T01:13:00-07:00",
-          "2010-03-03T01:14:00-07:00",
-          "2010-03-03T01:15:00-07:00",
-          "2010-03-03T01:16:00-07:00",
-          "2010-03-03T01:17:00-07:00",
-          "2010-03-03T01:18:00-07:00",
-          "2010-03-03T01:19:00-07:00",
-          "2010-03-03T01:20:00-07:00",
-          "2010-03-03T01:21:00-07:00",
-          "2010-03-03T01:22:00-07:00",
-          "2010-03-03T01:23:00-07:00",
-          "2010-03-03T01:24:00-07:00",
-          "2010-03-03T01:25:00-07:00",
-          "2010-03-03T01:26:00-07:00",
-          "2010-03-03T01:27:00-07:00",
-          "2010-03-03T01:28:00-07:00",
-          "2010-03-03T01:29:00-07:00",
-          "2010-03-03T01:30:00-07:00",
-          "2010-03-03T01:31:00-07:00",
-          "2010-03-03T01:32:00-07:00",
-          "2010-03-03T01:33:00-07:00",
-          "2010-03-03T01:34:00-07:00",
-          "2010-03-03T01:35:00-07:00",
-          "2010-03-03T01:36:00-07:00",
-          "2010-03-03T01:37:00-07:00",
-          "2010-03-03T01:38:00-07:00",
-          "2010-03-03T01:39:00-07:00",
-          "2010-03-03T01:40:00-07:00",
-          "2010-03-03T01:41:00-07:00",
-          "2010-03-03T01:42:00-07:00",
-          "2010-03-03T01:43:00-07:00",
-          "2010-03-03T01:44:00-07:00",
-          "2010-03-03T01:45:00-07:00",
-          "2010-03-03T01:46:00-07:00",
-          "2010-03-03T01:47:00-07:00",
-          "2010-03-03T01:48:00-07:00",
-          "2010-03-03T01:49:00-07:00",
-          "2010-03-03T01:50:00-07:00",
-          "2010-03-03T01:51:00-07:00",
-          "2010-03-03T01:52:00-07:00",
-          "2010-03-03T01:53:00-07:00",
-          "2010-03-03T01:54:00-07:00",
-          "2010-03-03T01:55:00-07:00",
-          "2010-03-03T01:56:00-07:00",
-          "2010-03-03T01:57:00-07:00",
-          "2010-03-03T01:58:00-07:00",
-          "2010-03-03T01:59:00-07:00",
-          "2010-03-03T02:00:00-07:00",
-          "2010-03-03T02:01:00-07:00",
-          "2010-03-03T02:02:00-07:00",
-          "2010-03-03T02:03:00-07:00",
-          "2010-03-03T02:04:00-07:00",
-          "2010-03-03T02:05:00-07:00",
-          "2010-03-03T02:06:00-07:00",
-          "2010-03-03T02:07:00-07:00",
-          "2010-03-03T02:08:00-07:00",
-          "2010-03-03T02:09:00-07:00",
-          "2010-03-03T02:10:00-07:00",
-          "2010-03-03T02:11:00-07:00",
-          "2010-03-03T02:12:00-07:00",
-          "2010-03-03T02:13:00-07:00",
-          "2010-03-03T02:14:00-07:00",
-          "2010-03-03T02:15:00-07:00",
-          "2010-03-03T02:16:00-07:00",
-          "2010-03-03T02:17:00-07:00",
-          "2010-03-03T02:18:00-07:00",
-          "2010-03-03T02:19:00-07:00",
-          "2010-03-03T02:20:00-07:00",
-          "2010-03-03T02:21:00-07:00",
-          "2010-03-03T02:22:00-07:00",
-          "2010-03-03T02:23:00-07:00",
-          "2010-03-03T02:24:00-07:00",
-          "2010-03-03T02:25:00-07:00",
-          "2010-03-03T02:26:00-07:00",
-          "2010-03-03T02:27:00-07:00",
-          "2010-03-03T02:28:00-07:00",
-          "2010-03-03T02:29:00-07:00",
-          "2010-03-03T02:30:00-07:00",
-          "2010-03-03T02:31:00-07:00",
-          "2010-03-03T02:32:00-07:00",
-          "2010-03-03T02:33:00-07:00",
-          "2010-03-03T02:34:00-07:00",
-          "2010-03-03T02:35:00-07:00",
-          "2010-03-03T02:36:00-07:00",
-          "2010-03-03T02:37:00-07:00",
-          "2010-03-03T02:38:00-07:00",
-          "2010-03-03T02:39:00-07:00",
-          "2010-03-03T02:40:00-07:00",
-          "2010-03-03T02:41:00-07:00",
-          "2010-03-03T02:42:00-07:00",
-          "2010-03-03T02:43:00-07:00",
-          "2010-03-03T02:44:00-07:00",
-          "2010-03-03T02:45:00-07:00",
-          "2010-03-03T02:46:00-07:00",
-          "2010-03-03T02:47:00-07:00",
-          "2010-03-03T02:48:00-07:00",
-          "2010-03-03T02:49:00-07:00",
-          "2010-03-03T02:50:00-07:00",
-          "2010-03-03T02:51:00-07:00",
-          "2010-03-03T02:52:00-07:00",
-          "2010-03-03T02:53:00-07:00",
-          "2010-03-03T02:54:00-07:00",
-          "2010-03-03T02:55:00-07:00",
-          "2010-03-03T02:56:00-07:00",
-          "2010-03-03T02:57:00-07:00",
-          "2010-03-03T02:58:00-07:00",
-          "2010-03-03T02:59:00-07:00",
-          "2010-03-03T03:00:00-07:00",
-          "2010-03-03T03:01:00-07:00",
-          "2010-03-03T03:02:00-07:00",
-          "2010-03-03T03:03:00-07:00",
-          "2010-03-03T03:04:00-07:00",
-          "2010-03-03T03:05:00-07:00",
-          "2010-03-03T03:06:00-07:00",
-          "2010-03-03T03:07:00-07:00",
-          "2010-03-03T03:08:00-07:00",
-          "2010-03-03T03:09:00-07:00",
-          "2010-03-03T03:10:00-07:00",
-          "2010-03-03T03:11:00-07:00",
-          "2010-03-03T03:12:00-07:00",
-          "2010-03-03T03:13:00-07:00",
-          "2010-03-03T03:14:00-07:00",
-          "2010-03-03T03:15:00-07:00",
-          "2010-03-03T03:16:00-07:00",
-          "2010-03-03T03:17:00-07:00",
-          "2010-03-03T03:18:00-07:00",
-          "2010-03-03T03:19:00-07:00",
-          "2010-03-03T03:20:00-07:00",
-          "2010-03-03T03:21:00-07:00",
-          "2010-03-03T03:22:00-07:00",
-          "2010-03-03T03:23:00-07:00",
-          "2010-03-03T03:24:00-07:00",
-          "2010-03-03T03:25:00-07:00",
-          "2010-03-03T03:26:00-07:00",
-          "2010-03-03T03:27:00-07:00",
-          "2010-03-03T03:28:00-07:00",
-          "2010-03-03T03:29:00-07:00",
-          "2010-03-03T03:30:00-07:00",
-          "2010-03-03T03:31:00-07:00",
-          "2010-03-03T03:32:00-07:00",
-          "2010-03-03T03:33:00-07:00",
-          "2010-03-03T03:34:00-07:00",
-          "2010-03-03T03:35:00-07:00",
-          "2010-03-03T03:36:00-07:00",
-          "2010-03-03T03:37:00-07:00",
-          "2010-03-03T03:38:00-07:00",
-          "2010-03-03T03:39:00-07:00",
-          "2010-03-03T03:40:00-07:00",
-          "2010-03-03T03:41:00-07:00",
-          "2010-03-03T03:42:00-07:00",
-          "2010-03-03T03:43:00-07:00",
-          "2010-03-03T03:44:00-07:00",
-          "2010-03-03T03:45:00-07:00",
-          "2010-03-03T03:46:00-07:00",
-          "2010-03-03T03:47:00-07:00",
-          "2010-03-03T03:48:00-07:00",
-          "2010-03-03T03:49:00-07:00",
-          "2010-03-03T03:50:00-07:00",
-          "2010-03-03T03:51:00-07:00",
-          "2010-03-03T03:52:00-07:00",
-          "2010-03-03T03:53:00-07:00",
-          "2010-03-03T03:54:00-07:00",
-          "2010-03-03T03:55:00-07:00",
-          "2010-03-03T03:56:00-07:00",
-          "2010-03-03T03:57:00-07:00",
-          "2010-03-03T03:58:00-07:00",
-          "2010-03-03T03:59:00-07:00",
-          "2010-03-03T04:00:00-07:00",
-          "2010-03-03T04:01:00-07:00",
-          "2010-03-03T04:02:00-07:00",
-          "2010-03-03T04:03:00-07:00",
-          "2010-03-03T04:04:00-07:00",
-          "2010-03-03T04:05:00-07:00",
-          "2010-03-03T04:06:00-07:00",
-          "2010-03-03T04:07:00-07:00",
-          "2010-03-03T04:08:00-07:00",
-          "2010-03-03T04:09:00-07:00",
-          "2010-03-03T04:10:00-07:00",
-          "2010-03-03T04:11:00-07:00",
-          "2010-03-03T04:12:00-07:00",
-          "2010-03-03T04:13:00-07:00",
-          "2010-03-03T04:14:00-07:00",
-          "2010-03-03T04:15:00-07:00",
-          "2010-03-03T04:16:00-07:00",
-          "2010-03-03T04:17:00-07:00",
-          "2010-03-03T04:18:00-07:00",
-          "2010-03-03T04:19:00-07:00",
-          "2010-03-03T04:20:00-07:00",
-          "2010-03-03T04:21:00-07:00",
-          "2010-03-03T04:22:00-07:00",
-          "2010-03-03T04:23:00-07:00",
-          "2010-03-03T04:24:00-07:00",
-          "2010-03-03T04:25:00-07:00",
-          "2010-03-03T04:26:00-07:00",
-          "2010-03-03T04:27:00-07:00",
-          "2010-03-03T04:28:00-07:00",
-          "2010-03-03T04:29:00-07:00",
-          "2010-03-03T04:30:00-07:00",
-          "2010-03-03T04:31:00-07:00",
-          "2010-03-03T04:32:00-07:00",
-          "2010-03-03T04:33:00-07:00",
-          "2010-03-03T04:34:00-07:00",
-          "2010-03-03T04:35:00-07:00",
-          "2010-03-03T04:36:00-07:00",
-          "2010-03-03T04:37:00-07:00",
-          "2010-03-03T04:38:00-07:00",
-          "2010-03-03T04:39:00-07:00",
-          "2010-03-03T04:40:00-07:00",
-          "2010-03-03T04:41:00-07:00",
-          "2010-03-03T04:42:00-07:00",
-          "2010-03-03T04:43:00-07:00",
-          "2010-03-03T04:44:00-07:00",
-          "2010-03-03T04:45:00-07:00",
-          "2010-03-03T04:46:00-07:00",
-          "2010-03-03T04:47:00-07:00",
-          "2010-03-03T04:48:00-07:00",
-          "2010-03-03T04:49:00-07:00",
-          "2010-03-03T04:50:00-07:00",
-          "2010-03-03T04:51:00-07:00",
-          "2010-03-03T04:52:00-07:00",
-          "2010-03-03T04:53:00-07:00",
-          "2010-03-03T04:54:00-07:00",
-          "2010-03-03T04:55:00-07:00",
-          "2010-03-03T04:56:00-07:00",
-          "2010-03-03T04:57:00-07:00",
-          "2010-03-03T04:58:00-07:00",
-          "2010-03-03T04:59:00-07:00",
-          "2010-03-03T05:00:00-07:00",
-          "2010-03-03T05:01:00-07:00",
-          "2010-03-03T05:02:00-07:00",
-          "2010-03-03T05:03:00-07:00",
-          "2010-03-03T05:04:00-07:00",
-          "2010-03-03T05:05:00-07:00",
-          "2010-03-03T05:06:00-07:00",
-          "2010-03-03T05:07:00-07:00",
-          "2010-03-03T05:08:00-07:00",
-          "2010-03-03T05:09:00-07:00",
-          "2010-03-03T05:10:00-07:00",
-          "2010-03-03T05:11:00-07:00",
-          "2010-03-03T05:12:00-07:00",
-          "2010-03-03T05:13:00-07:00",
-          "2010-03-03T05:14:00-07:00",
-          "2010-03-03T05:15:00-07:00",
-          "2010-03-03T05:16:00-07:00",
-          "2010-03-03T05:17:00-07:00",
-          "2010-03-03T05:18:00-07:00",
-          "2010-03-03T05:19:00-07:00",
-          "2010-03-03T05:20:00-07:00",
-          "2010-03-03T05:21:00-07:00",
-          "2010-03-03T05:22:00-07:00",
-          "2010-03-03T05:23:00-07:00",
-          "2010-03-03T05:24:00-07:00",
-          "2010-03-03T05:25:00-07:00",
-          "2010-03-03T05:26:00-07:00",
-          "2010-03-03T05:27:00-07:00",
-          "2010-03-03T05:28:00-07:00",
-          "2010-03-03T05:29:00-07:00",
-          "2010-03-03T05:30:00-07:00",
-          "2010-03-03T05:31:00-07:00",
-          "2010-03-03T05:32:00-07:00",
-          "2010-03-03T05:33:00-07:00",
-          "2010-03-03T05:34:00-07:00",
-          "2010-03-03T05:35:00-07:00",
-          "2010-03-03T05:36:00-07:00",
-          "2010-03-03T05:37:00-07:00",
-          "2010-03-03T05:38:00-07:00",
-          "2010-03-03T05:39:00-07:00",
-          "2010-03-03T05:40:00-07:00",
-          "2010-03-03T05:41:00-07:00",
-          "2010-03-03T05:42:00-07:00",
-          "2010-03-03T05:43:00-07:00",
-          "2010-03-03T05:44:00-07:00",
-          "2010-03-03T05:45:00-07:00",
-          "2010-03-03T05:46:00-07:00",
-          "2010-03-03T05:47:00-07:00",
-          "2010-03-03T05:48:00-07:00",
-          "2010-03-03T05:49:00-07:00",
-          "2010-03-03T05:50:00-07:00",
-          "2010-03-03T05:51:00-07:00",
-          "2010-03-03T05:52:00-07:00",
-          "2010-03-03T05:53:00-07:00",
-          "2010-03-03T05:54:00-07:00",
-          "2010-03-03T05:55:00-07:00",
-          "2010-03-03T05:56:00-07:00",
-          "2010-03-03T05:57:00-07:00",
-          "2010-03-03T05:58:00-07:00",
-          "2010-03-03T05:59:00-07:00",
-          "2010-03-03T06:00:00-07:00",
-          "2010-03-03T06:01:00-07:00",
-          "2010-03-03T06:02:00-07:00",
-          "2010-03-03T06:03:00-07:00",
-          "2010-03-03T06:04:00-07:00",
-          "2010-03-03T06:05:00-07:00",
-          "2010-03-03T06:06:00-07:00",
-          "2010-03-03T06:07:00-07:00",
-          "2010-03-03T06:08:00-07:00",
-          "2010-03-03T06:09:00-07:00",
-          "2010-03-03T06:10:00-07:00",
-          "2010-03-03T06:11:00-07:00",
-          "2010-03-03T06:12:00-07:00",
-          "2010-03-03T06:13:00-07:00",
-          "2010-03-03T06:14:00-07:00",
-          "2010-03-03T06:15:00-07:00",
-          "2010-03-03T06:16:00-07:00",
-          "2010-03-03T06:17:00-07:00",
-          "2010-03-03T06:18:00-07:00",
-          "2010-03-03T06:19:00-07:00",
-          "2010-03-03T06:20:00-07:00",
-          "2010-03-03T06:21:00-07:00",
-          "2010-03-03T06:22:00-07:00",
-          "2010-03-03T06:23:00-07:00",
-          "2010-03-03T06:24:00-07:00",
-          "2010-03-03T06:25:00-07:00",
-          "2010-03-03T06:26:00-07:00",
-          "2010-03-03T06:27:00-07:00",
-          "2010-03-03T06:28:00-07:00",
-          "2010-03-03T06:29:00-07:00",
-          "2010-03-03T06:30:00-07:00",
-          "2010-03-03T06:31:00-07:00",
-          "2010-03-03T06:32:00-07:00",
-          "2010-03-03T06:33:00-07:00",
-          "2010-03-03T06:34:00-07:00",
-          "2010-03-03T06:35:00-07:00",
-          "2010-03-03T06:36:00-07:00",
-          "2010-03-03T06:37:00-07:00",
-          "2010-03-03T06:38:00-07:00",
-          "2010-03-03T06:39:00-07:00",
-          "2010-03-03T06:40:00-07:00",
-          "2010-03-03T06:41:00-07:00",
-          "2010-03-03T06:42:00-07:00",
-          "2010-03-03T06:43:00-07:00",
-          "2010-03-03T06:44:00-07:00",
-          "2010-03-03T06:45:00-07:00",
-          "2010-03-03T06:48:00-07:00",
-          "2010-03-03T06:49:00-07:00",
-          "2010-03-03T09:39:00-07:00",
-          "2010-03-03T10:07:00-07:00",
-          "2010-03-03T10:11:00-07:00",
-          "2010-03-03T10:18:00-07:00",
-          "2010-03-03T10:19:00-07:00",
-          "2010-03-03T10:39:00-07:00",
-          "2010-03-03T10:42:00-07:00",
-          "2010-03-03T10:48:00-07:00",
-          "2010-03-03T10:49:00-07:00",
-          "2010-03-03T10:50:00-07:00",
-          "2010-03-03T10:51:00-07:00",
-          "2010-03-03T10:53:00-07:00",
-          "2010-03-03T10:55:00-07:00",
-          "2010-03-03T11:06:00-07:00",
-          "2010-03-03T11:08:00-07:00",
-          "2010-03-03T11:16:00-07:00",
-          "2010-03-03T11:20:00-07:00",
-          "2010-03-03T11:26:00-07:00",
-          "2010-03-03T11:29:00-07:00",
-          "2010-03-03T11:31:00-07:00",
-          "2010-03-03T11:35:00-07:00",
-          "2010-03-03T11:37:00-07:00",
-          "2010-03-03T11:41:00-07:00",
-          "2010-03-03T11:42:00-07:00",
-          "2010-03-03T11:44:00-07:00",
-          "2010-03-03T11:47:00-07:00",
-          "2010-03-03T11:49:00-07:00",
-          "2010-03-03T11:50:00-07:00",
-          "2010-03-03T11:52:00-07:00",
-          "2010-03-03T11:53:00-07:00",
-          "2010-03-03T11:54:00-07:00",
-          "2010-03-03T11:57:00-07:00",
-          "2010-03-03T11:58:00-07:00",
-          "2010-03-03T12:00:00-07:00",
-          "2010-03-03T12:05:00-07:00",
-          "2010-03-03T12:10:00-07:00",
-          "2010-03-03T12:11:00-07:00",
-          "2010-03-03T12:14:00-07:00",
-          "2010-03-03T12:15:00-07:00",
-          "2010-03-03T12:22:00-07:00",
-          "2010-03-03T12:23:00-07:00",
-          "2010-03-03T12:25:00-07:00",
-          "2010-03-03T12:27:00-07:00",
-          "2010-03-03T12:29:00-07:00",
-          "2010-03-03T12:31:00-07:00",
-          "2010-03-03T12:33:00-07:00",
-          "2010-03-03T12:36:00-07:00",
-          "2010-03-03T12:37:00-07:00",
-          "2010-03-03T12:40:00-07:00",
-          "2010-03-03T12:41:00-07:00",
-          "2010-03-03T12:42:00-07:00",
-          "2010-03-03T12:43:00-07:00",
-          "2010-03-03T12:44:00-07:00",
-          "2010-03-03T12:45:00-07:00",
-          "2010-03-03T12:47:00-07:00",
-          "2010-03-03T12:48:00-07:00",
-          "2010-03-03T12:51:00-07:00",
-          "2010-03-03T12:57:00-07:00",
-          "2010-03-03T12:58:00-07:00",
-          "2010-03-03T13:00:00-07:00",
-          "2010-03-03T13:08:00-07:00",
-          "2010-03-03T13:09:00-07:00",
-          "2010-03-03T13:10:00-07:00",
-          "2010-03-03T13:11:00-07:00",
-          "2010-03-03T13:12:00-07:00",
-          "2010-03-03T13:15:00-07:00",
-          "2010-03-03T13:18:00-07:00",
-          "2010-03-03T13:21:00-07:00",
-          "2010-03-03T13:24:00-07:00",
-          "2010-03-03T13:28:00-07:00",
-          "2010-03-03T13:35:00-07:00",
-          "2010-03-03T13:41:00-07:00",
-          "2010-03-03T13:45:00-07:00",
-          "2010-03-03T13:46:00-07:00",
-          "2010-03-03T13:48:00-07:00",
-          "2010-03-03T13:52:00-07:00",
-          "2010-03-03T13:53:00-07:00",
-          "2010-03-03T14:01:00-07:00",
-          "2010-03-03T17:35:00-07:00",
-          "2010-03-03T17:36:00-07:00",
-          "2010-03-03T17:37:00-07:00",
-          "2010-03-03T17:38:00-07:00",
-          "2010-03-03T17:39:00-07:00",
-          "2010-03-03T17:40:00-07:00",
-          "2010-03-03T17:41:00-07:00",
-          "2010-03-03T17:42:00-07:00",
-          "2010-03-03T17:43:00-07:00",
-          "2010-03-03T17:44:00-07:00",
-          "2010-03-03T17:45:00-07:00",
-          "2010-03-03T17:46:00-07:00",
-          "2010-03-03T17:47:00-07:00",
-          "2010-03-03T17:48:00-07:00",
-          "2010-03-03T17:49:00-07:00",
-          "2010-03-03T17:50:00-07:00",
-          "2010-03-03T17:51:00-07:00",
-          "2010-03-03T17:52:00-07:00",
-          "2010-03-03T17:53:00-07:00",
-          "2010-03-03T17:54:00-07:00",
-          "2010-03-03T17:55:00-07:00",
-          "2010-03-03T17:56:00-07:00",
-          "2010-03-03T17:57:00-07:00",
-          "2010-03-03T17:58:00-07:00",
-          "2010-03-03T17:59:00-07:00",
-          "2010-03-03T18:00:00-07:00",
-          "2010-03-03T18:01:00-07:00",
-          "2010-03-03T18:02:00-07:00",
-          "2010-03-03T18:03:00-07:00",
-          "2010-03-03T18:04:00-07:00",
-          "2010-03-03T18:05:00-07:00",
-          "2010-03-03T18:06:00-07:00",
-          "2010-03-03T18:07:00-07:00",
-          "2010-03-03T18:08:00-07:00",
-          "2010-03-03T18:09:00-07:00",
-          "2010-03-03T18:10:00-07:00",
-          "2010-03-03T18:11:00-07:00",
-          "2010-03-03T18:12:00-07:00",
-          "2010-03-03T18:13:00-07:00",
-          "2010-03-03T18:14:00-07:00",
-          "2010-03-03T18:15:00-07:00",
-          "2010-03-03T18:16:00-07:00",
-          "2010-03-03T18:17:00-07:00",
-          "2010-03-03T18:18:00-07:00",
-          "2010-03-03T18:19:00-07:00",
-          "2010-03-03T18:20:00-07:00",
-          "2010-03-03T18:21:00-07:00",
-          "2010-03-03T18:22:00-07:00",
-          "2010-03-03T18:23:00-07:00",
-          "2010-03-03T18:24:00-07:00",
-          "2010-03-03T18:25:00-07:00",
-          "2010-03-03T18:26:00-07:00",
-          "2010-03-03T18:27:00-07:00",
-          "2010-03-03T18:28:00-07:00",
-          "2010-03-03T18:29:00-07:00",
-          "2010-03-03T18:30:00-07:00",
-          "2010-03-03T18:31:00-07:00",
-          "2010-03-03T18:32:00-07:00",
-          "2010-03-03T18:33:00-07:00",
-          "2010-03-03T18:34:00-07:00",
-          "2010-03-03T18:35:00-07:00",
-          "2010-03-03T18:36:00-07:00",
-          "2010-03-03T18:37:00-07:00",
-          "2010-03-03T18:38:00-07:00",
-          "2010-03-03T18:39:00-07:00",
-          "2010-03-03T18:40:00-07:00",
-          "2010-03-03T18:41:00-07:00",
-          "2010-03-03T18:42:00-07:00",
-          "2010-03-03T18:43:00-07:00",
-          "2010-03-03T18:44:00-07:00",
-          "2010-03-03T18:45:00-07:00",
-          "2010-03-03T18:46:00-07:00",
-          "2010-03-03T18:47:00-07:00",
-          "2010-03-03T18:48:00-07:00",
-          "2010-03-03T18:49:00-07:00",
-          "2010-03-03T18:50:00-07:00",
-          "2010-03-03T18:51:00-07:00",
-          "2010-03-03T18:52:00-07:00",
-          "2010-03-03T18:53:00-07:00",
-          "2010-03-03T18:54:00-07:00",
-          "2010-03-03T18:55:00-07:00",
-          "2010-03-03T18:56:00-07:00",
-          "2010-03-03T18:57:00-07:00",
-          "2010-03-03T18:58:00-07:00",
-          "2010-03-03T18:59:00-07:00",
-          "2010-03-03T19:00:00-07:00",
-          "2010-03-03T19:01:00-07:00",
-          "2010-03-03T19:02:00-07:00",
-          "2010-03-03T19:03:00-07:00",
-          "2010-03-03T19:04:00-07:00",
-          "2010-03-03T19:05:00-07:00",
-          "2010-03-03T19:06:00-07:00",
-          "2010-03-03T19:07:00-07:00",
-          "2010-03-03T19:08:00-07:00",
-          "2010-03-03T19:09:00-07:00",
-          "2010-03-03T19:10:00-07:00",
-          "2010-03-03T19:11:00-07:00",
-          "2010-03-03T19:12:00-07:00",
-          "2010-03-03T19:13:00-07:00",
-          "2010-03-03T19:14:00-07:00",
-          "2010-03-03T19:15:00-07:00",
-          "2010-03-03T19:16:00-07:00",
-          "2010-03-03T19:17:00-07:00",
-          "2010-03-03T19:18:00-07:00",
-          "2010-03-03T19:19:00-07:00",
-          "2010-03-03T19:20:00-07:00",
-          "2010-03-03T19:21:00-07:00",
-          "2010-03-03T19:22:00-07:00",
-          "2010-03-03T19:23:00-07:00",
-          "2010-03-03T19:24:00-07:00",
-          "2010-03-03T19:25:00-07:00",
-          "2010-03-03T19:26:00-07:00",
-          "2010-03-03T19:27:00-07:00",
-          "2010-03-03T19:28:00-07:00",
-          "2010-03-03T19:29:00-07:00",
-          "2010-03-03T19:30:00-07:00",
-          "2010-03-03T19:31:00-07:00",
-          "2010-03-03T19:32:00-07:00",
-          "2010-03-03T19:33:00-07:00",
-          "2010-03-03T19:34:00-07:00",
-          "2010-03-03T19:35:00-07:00",
-          "2010-03-03T19:36:00-07:00",
-          "2010-03-03T19:37:00-07:00",
-          "2010-03-03T19:38:00-07:00",
-          "2010-03-03T19:39:00-07:00",
-          "2010-03-03T19:40:00-07:00",
-          "2010-03-03T19:41:00-07:00",
-          "2010-03-03T19:42:00-07:00",
-          "2010-03-03T19:43:00-07:00",
-          "2010-03-03T19:44:00-07:00",
-          "2010-03-03T19:45:00-07:00",
-          "2010-03-03T19:46:00-07:00",
-          "2010-03-03T19:47:00-07:00",
-          "2010-03-03T19:48:00-07:00",
-          "2010-03-03T19:49:00-07:00",
-          "2010-03-03T19:50:00-07:00",
-          "2010-03-03T19:51:00-07:00",
-          "2010-03-03T19:52:00-07:00",
-          "2010-03-03T19:53:00-07:00",
-          "2010-03-03T19:54:00-07:00",
-          "2010-03-03T19:55:00-07:00",
-          "2010-03-03T19:56:00-07:00",
-          "2010-03-03T19:57:00-07:00",
-          "2010-03-03T19:58:00-07:00",
-          "2010-03-03T19:59:00-07:00",
-          "2010-03-03T20:00:00-07:00",
-          "2010-03-03T20:01:00-07:00",
-          "2010-03-03T20:02:00-07:00",
-          "2010-03-03T20:03:00-07:00",
-          "2010-03-03T20:04:00-07:00",
-          "2010-03-03T20:05:00-07:00",
-          "2010-03-03T20:06:00-07:00",
-          "2010-03-03T20:07:00-07:00",
-          "2010-03-03T20:08:00-07:00",
-          "2010-03-03T20:09:00-07:00",
-          "2010-03-03T20:10:00-07:00",
-          "2010-03-03T20:11:00-07:00",
-          "2010-03-03T20:12:00-07:00",
-          "2010-03-03T20:13:00-07:00",
-          "2010-03-03T20:14:00-07:00",
-          "2010-03-03T20:15:00-07:00",
-          "2010-03-03T20:16:00-07:00",
-          "2010-03-03T20:17:00-07:00",
-          "2010-03-03T20:18:00-07:00",
-          "2010-03-03T20:19:00-07:00",
-          "2010-03-03T20:20:00-07:00",
-          "2010-03-03T20:21:00-07:00",
-          "2010-03-03T20:22:00-07:00",
-          "2010-03-03T20:23:00-07:00",
-          "2010-03-03T20:24:00-07:00",
-          "2010-03-03T20:25:00-07:00",
-          "2010-03-03T20:26:00-07:00",
-          "2010-03-03T20:27:00-07:00",
-          "2010-03-03T20:28:00-07:00",
-          "2010-03-03T20:29:00-07:00",
-          "2010-03-03T20:30:00-07:00",
-          "2010-03-03T20:31:00-07:00",
-          "2010-03-03T20:32:00-07:00",
-          "2010-03-03T20:33:00-07:00",
-          "2010-03-03T20:34:00-07:00",
-          "2010-03-03T20:35:00-07:00",
-          "2010-03-03T20:36:00-07:00",
-          "2010-03-03T20:37:00-07:00",
-          "2010-03-03T20:38:00-07:00",
-          "2010-03-03T20:39:00-07:00",
-          "2010-03-03T20:40:00-07:00",
-          "2010-03-03T20:41:00-07:00",
-          "2010-03-03T20:42:00-07:00",
-          "2010-03-03T20:43:00-07:00",
-          "2010-03-03T20:44:00-07:00",
-          "2010-03-03T20:45:00-07:00",
-          "2010-03-03T20:46:00-07:00",
-          "2010-03-03T20:47:00-07:00",
-          "2010-03-03T20:48:00-07:00",
-          "2010-03-03T20:49:00-07:00",
-          "2010-03-03T20:50:00-07:00",
-          "2010-03-03T20:51:00-07:00",
-          "2010-03-03T20:52:00-07:00",
-          "2010-03-03T20:53:00-07:00",
-          "2010-03-03T20:54:00-07:00",
-          "2010-03-03T20:55:00-07:00",
-          "2010-03-03T20:56:00-07:00",
-          "2010-03-03T20:57:00-07:00",
-          "2010-03-03T20:58:00-07:00",
-          "2010-03-03T20:59:00-07:00",
-          "2010-03-03T21:00:00-07:00",
-          "2010-03-03T21:01:00-07:00",
-          "2010-03-03T21:02:00-07:00",
-          "2010-03-03T21:03:00-07:00",
-          "2010-03-03T21:04:00-07:00",
-          "2010-03-03T21:05:00-07:00",
-          "2010-03-03T21:06:00-07:00",
-          "2010-03-03T21:07:00-07:00",
-          "2010-03-03T21:08:00-07:00",
-          "2010-03-03T21:09:00-07:00",
-          "2010-03-03T21:10:00-07:00",
-          "2010-03-03T21:11:00-07:00",
-          "2010-03-03T21:12:00-07:00",
-          "2010-03-03T21:13:00-07:00",
-          "2010-03-03T21:14:00-07:00",
-          "2010-03-03T21:15:00-07:00",
-          "2010-03-03T21:16:00-07:00",
-          "2010-03-03T21:17:00-07:00",
-          "2010-03-03T21:18:00-07:00",
-          "2010-03-03T21:19:00-07:00",
-          "2010-03-03T21:20:00-07:00",
-          "2010-03-03T21:21:00-07:00",
-          "2010-03-03T21:22:00-07:00",
-          "2010-03-03T21:23:00-07:00",
-          "2010-03-03T21:24:00-07:00",
-          "2010-03-03T21:25:00-07:00",
-          "2010-03-03T21:26:00-07:00",
-          "2010-03-03T21:27:00-07:00",
-          "2010-03-03T21:28:00-07:00",
-          "2010-03-03T21:29:00-07:00",
-          "2010-03-03T21:30:00-07:00",
-          "2010-03-03T21:31:00-07:00",
-          "2010-03-03T21:32:00-07:00",
-          "2010-03-03T21:33:00-07:00",
-          "2010-03-03T21:34:00-07:00",
-          "2010-03-03T21:35:00-07:00",
-          "2010-03-03T21:36:00-07:00",
-          "2010-03-03T21:37:00-07:00",
-          "2010-03-03T21:38:00-07:00",
-          "2010-03-03T21:39:00-07:00",
-          "2010-03-03T21:40:00-07:00",
-          "2010-03-03T21:41:00-07:00",
-          "2010-03-03T21:42:00-07:00",
-          "2010-03-03T21:43:00-07:00",
-          "2010-03-03T21:44:00-07:00",
-          "2010-03-03T21:45:00-07:00",
-          "2010-03-03T21:46:00-07:00",
-          "2010-03-03T21:47:00-07:00",
-          "2010-03-03T21:48:00-07:00",
-          "2010-03-03T21:49:00-07:00",
-          "2010-03-03T21:50:00-07:00",
-          "2010-03-03T21:51:00-07:00",
-          "2010-03-03T21:52:00-07:00",
-          "2010-03-03T21:53:00-07:00",
-          "2010-03-03T21:54:00-07:00",
-          "2010-03-03T21:55:00-07:00",
-          "2010-03-03T21:56:00-07:00",
-          "2010-03-03T21:57:00-07:00",
-          "2010-03-03T21:58:00-07:00",
-          "2010-03-03T21:59:00-07:00",
-          "2010-03-03T22:00:00-07:00",
-          "2010-03-03T22:01:00-07:00",
-          "2010-03-03T22:02:00-07:00",
-          "2010-03-03T22:03:00-07:00",
-          "2010-03-03T22:04:00-07:00",
-          "2010-03-03T22:05:00-07:00",
-          "2010-03-03T22:06:00-07:00",
-          "2010-03-03T22:07:00-07:00",
-          "2010-03-03T22:08:00-07:00",
-          "2010-03-03T22:09:00-07:00",
-          "2010-03-03T22:10:00-07:00",
-          "2010-03-03T22:11:00-07:00",
-          "2010-03-03T22:12:00-07:00",
-          "2010-03-03T22:13:00-07:00",
-          "2010-03-03T22:14:00-07:00",
-          "2010-03-03T22:15:00-07:00",
-          "2010-03-03T22:16:00-07:00",
-          "2010-03-03T22:17:00-07:00",
-          "2010-03-03T22:18:00-07:00",
-          "2010-03-03T22:19:00-07:00",
-          "2010-03-03T22:20:00-07:00",
-          "2010-03-03T22:21:00-07:00",
-          "2010-03-03T22:22:00-07:00",
-          "2010-03-03T22:23:00-07:00",
-          "2010-03-03T22:24:00-07:00",
-          "2010-03-03T22:25:00-07:00",
-          "2010-03-03T22:26:00-07:00",
-          "2010-03-03T22:27:00-07:00",
-          "2010-03-03T22:28:00-07:00",
-          "2010-03-03T22:29:00-07:00",
-          "2010-03-03T22:30:00-07:00",
-          "2010-03-03T22:31:00-07:00",
-          "2010-03-03T22:32:00-07:00",
-          "2010-03-03T22:33:00-07:00",
-          "2010-03-03T22:34:00-07:00",
-          "2010-03-03T22:35:00-07:00",
-          "2010-03-03T22:36:00-07:00",
-          "2010-03-03T22:37:00-07:00",
-          "2010-03-03T22:38:00-07:00",
-          "2010-03-03T22:39:00-07:00",
-          "2010-03-03T22:40:00-07:00",
-          "2010-03-03T22:41:00-07:00",
-          "2010-03-03T22:42:00-07:00",
-          "2010-03-03T22:43:00-07:00",
-          "2010-03-03T22:44:00-07:00",
-          "2010-03-03T22:45:00-07:00",
-          "2010-03-03T22:46:00-07:00",
-          "2010-03-03T22:47:00-07:00",
-          "2010-03-03T22:48:00-07:00",
-          "2010-03-03T22:49:00-07:00",
-          "2010-03-03T22:50:00-07:00",
-          "2010-03-03T22:51:00-07:00",
-          "2010-03-03T22:52:00-07:00",
-          "2010-03-03T22:53:00-07:00",
-          "2010-03-03T22:54:00-07:00",
-          "2010-03-03T22:55:00-07:00",
-          "2010-03-03T22:56:00-07:00",
-          "2010-03-03T22:57:00-07:00",
-          "2010-03-03T22:58:00-07:00",
-          "2010-03-03T22:59:00-07:00",
-          "2010-03-03T23:00:00-07:00",
-          "2010-03-03T23:01:00-07:00",
-          "2010-03-03T23:02:00-07:00",
-          "2010-03-03T23:03:00-07:00",
-          "2010-03-03T23:04:00-07:00",
-          "2010-03-03T23:05:00-07:00",
-          "2010-03-03T23:06:00-07:00",
-          "2010-03-03T23:07:00-07:00",
-          "2010-03-03T23:08:00-07:00",
-          "2010-03-03T23:09:00-07:00",
-          "2010-03-03T23:10:00-07:00",
-          "2010-03-03T23:11:00-07:00",
-          "2010-03-03T23:12:00-07:00",
-          "2010-03-03T23:13:00-07:00",
-          "2010-03-03T23:14:00-07:00",
-          "2010-03-03T23:15:00-07:00",
-          "2010-03-03T23:16:00-07:00",
-          "2010-03-03T23:17:00-07:00",
-          "2010-03-03T23:18:00-07:00",
-          "2010-03-03T23:19:00-07:00",
-          "2010-03-03T23:20:00-07:00",
-          "2010-03-03T23:21:00-07:00",
-          "2010-03-03T23:22:00-07:00",
-          "2010-03-03T23:23:00-07:00",
-          "2010-03-03T23:24:00-07:00",
-          "2010-03-03T23:25:00-07:00",
-          "2010-03-03T23:26:00-07:00",
-          "2010-03-03T23:27:00-07:00",
-          "2010-03-03T23:28:00-07:00",
-          "2010-03-03T23:29:00-07:00",
-          "2010-03-03T23:30:00-07:00",
-          "2010-03-03T23:31:00-07:00",
-          "2010-03-03T23:32:00-07:00",
-          "2010-03-03T23:33:00-07:00",
-          "2010-03-03T23:34:00-07:00",
-          "2010-03-03T23:35:00-07:00",
-          "2010-03-03T23:36:00-07:00",
-          "2010-03-03T23:37:00-07:00",
-          "2010-03-03T23:38:00-07:00",
-          "2010-03-03T23:39:00-07:00",
-          "2010-03-03T23:40:00-07:00",
-          "2010-03-03T23:41:00-07:00",
-          "2010-03-03T23:42:00-07:00",
-          "2010-03-03T23:43:00-07:00",
-          "2010-03-03T23:44:00-07:00",
-          "2010-03-03T23:45:00-07:00",
-          "2010-03-03T23:46:00-07:00",
-          "2010-03-03T23:47:00-07:00",
-          "2010-03-03T23:48:00-07:00",
-          "2010-03-03T23:49:00-07:00",
-          "2010-03-03T23:50:00-07:00",
-          "2010-03-03T23:51:00-07:00",
-          "2010-03-03T23:52:00-07:00",
-          "2010-03-03T23:53:00-07:00",
-          "2010-03-03T23:54:00-07:00",
-          "2010-03-03T23:55:00-07:00",
-          "2010-03-03T23:56:00-07:00",
-          "2010-03-03T23:57:00-07:00",
-          "2010-03-03T23:58:00-07:00",
-          "2010-03-03T23:59:00-07:00",
-          "2010-03-04T00:00:00-07:00",
-          "2010-03-04T00:01:00-07:00",
-          "2010-03-04T00:02:00-07:00",
-          "2010-03-04T00:03:00-07:00",
-          "2010-03-04T00:04:00-07:00",
-          "2010-03-04T00:05:00-07:00",
-          "2010-03-04T00:06:00-07:00",
-          "2010-03-04T00:07:00-07:00",
-          "2010-03-04T00:08:00-07:00",
-          "2010-03-04T00:09:00-07:00",
-          "2010-03-04T00:10:00-07:00",
-          "2010-03-04T00:11:00-07:00",
-          "2010-03-04T00:12:00-07:00",
-          "2010-03-04T00:13:00-07:00",
-          "2010-03-04T00:14:00-07:00",
-          "2010-03-04T00:15:00-07:00",
-          "2010-03-04T00:16:00-07:00",
-          "2010-03-04T00:17:00-07:00",
-          "2010-03-04T00:18:00-07:00",
-          "2010-03-04T00:19:00-07:00",
-          "2010-03-04T00:20:00-07:00",
-          "2010-03-04T00:21:00-07:00",
-          "2010-03-04T00:22:00-07:00",
-          "2010-03-04T00:23:00-07:00",
-          "2010-03-04T00:24:00-07:00",
-          "2010-03-04T00:25:00-07:00",
-          "2010-03-04T00:26:00-07:00",
-          "2010-03-04T00:27:00-07:00",
-          "2010-03-04T00:28:00-07:00",
-          "2010-03-04T00:29:00-07:00",
-          "2010-03-04T00:30:00-07:00",
-          "2010-03-04T00:31:00-07:00",
-          "2010-03-04T00:32:00-07:00",
-          "2010-03-04T00:33:00-07:00",
-          "2010-03-04T00:34:00-07:00",
-          "2010-03-04T00:35:00-07:00",
-          "2010-03-04T00:36:00-07:00",
-          "2010-03-04T00:37:00-07:00",
-          "2010-03-04T00:38:00-07:00",
-          "2010-03-04T00:39:00-07:00",
-          "2010-03-04T00:40:00-07:00",
-          "2010-03-04T00:41:00-07:00",
-          "2010-03-04T00:42:00-07:00",
-          "2010-03-04T00:43:00-07:00",
-          "2010-03-04T00:44:00-07:00",
-          "2010-03-04T00:45:00-07:00",
-          "2010-03-04T00:46:00-07:00",
-          "2010-03-04T00:47:00-07:00",
-          "2010-03-04T00:48:00-07:00",
-          "2010-03-04T00:49:00-07:00",
-          "2010-03-04T00:50:00-07:00",
-          "2010-03-04T00:51:00-07:00",
-          "2010-03-04T00:52:00-07:00",
-          "2010-03-04T00:53:00-07:00",
-          "2010-03-04T00:54:00-07:00",
-          "2010-03-04T00:55:00-07:00",
-          "2010-03-04T00:56:00-07:00",
-          "2010-03-04T00:57:00-07:00",
-          "2010-03-04T00:58:00-07:00",
-          "2010-03-04T00:59:00-07:00",
-          "2010-03-04T01:00:00-07:00",
-          "2010-03-04T01:01:00-07:00",
-          "2010-03-04T01:02:00-07:00",
-          "2010-03-04T01:03:00-07:00",
-          "2010-03-04T01:04:00-07:00",
-          "2010-03-04T01:05:00-07:00",
-          "2010-03-04T01:06:00-07:00",
-          "2010-03-04T01:07:00-07:00",
-          "2010-03-04T01:08:00-07:00",
-          "2010-03-04T01:09:00-07:00",
-          "2010-03-04T01:10:00-07:00",
-          "2010-03-04T01:11:00-07:00",
-          "2010-03-04T01:12:00-07:00",
-          "2010-03-04T01:13:00-07:00",
-          "2010-03-04T01:14:00-07:00",
-          "2010-03-04T01:15:00-07:00",
-          "2010-03-04T01:16:00-07:00",
-          "2010-03-04T01:17:00-07:00",
-          "2010-03-04T01:18:00-07:00",
-          "2010-03-04T01:19:00-07:00",
-          "2010-03-04T01:20:00-07:00",
-          "2010-03-04T01:21:00-07:00",
-          "2010-03-04T01:22:00-07:00",
-          "2010-03-04T01:23:00-07:00",
-          "2010-03-04T01:24:00-07:00",
-          "2010-03-04T01:25:00-07:00",
-          "2010-03-04T01:26:00-07:00",
-          "2010-03-04T01:27:00-07:00",
-          "2010-03-04T01:28:00-07:00",
-          "2010-03-04T01:29:00-07:00",
-          "2010-03-04T01:30:00-07:00",
-          "2010-03-04T01:31:00-07:00",
-          "2010-03-04T01:32:00-07:00",
-          "2010-03-04T01:33:00-07:00",
-          "2010-03-04T01:34:00-07:00",
-          "2010-03-04T01:35:00-07:00",
-          "2010-03-04T01:36:00-07:00",
-          "2010-03-04T01:37:00-07:00",
-          "2010-03-04T01:38:00-07:00",
-          "2010-03-04T01:39:00-07:00",
-          "2010-03-04T01:40:00-07:00",
-          "2010-03-04T01:41:00-07:00",
-          "2010-03-04T01:42:00-07:00",
-          "2010-03-04T01:43:00-07:00",
-          "2010-03-04T01:44:00-07:00",
-          "2010-03-04T01:45:00-07:00",
-          "2010-03-04T01:46:00-07:00",
-          "2010-03-04T01:47:00-07:00",
-          "2010-03-04T01:48:00-07:00",
-          "2010-03-04T01:49:00-07:00",
-          "2010-03-04T01:50:00-07:00",
-          "2010-03-04T01:51:00-07:00",
-          "2010-03-04T01:52:00-07:00",
-          "2010-03-04T01:53:00-07:00",
-          "2010-03-04T01:54:00-07:00",
-          "2010-03-04T01:55:00-07:00",
-          "2010-03-04T01:56:00-07:00",
-          "2010-03-04T01:57:00-07:00",
-          "2010-03-04T01:58:00-07:00",
-          "2010-03-04T01:59:00-07:00",
-          "2010-03-04T02:00:00-07:00",
-          "2010-03-04T02:01:00-07:00",
-          "2010-03-04T02:02:00-07:00",
-          "2010-03-04T02:03:00-07:00",
-          "2010-03-04T02:04:00-07:00",
-          "2010-03-04T02:05:00-07:00",
-          "2010-03-04T02:06:00-07:00",
-          "2010-03-04T02:07:00-07:00",
-          "2010-03-04T02:08:00-07:00",
-          "2010-03-04T02:09:00-07:00",
-          "2010-03-04T02:10:00-07:00",
-          "2010-03-04T02:11:00-07:00",
-          "2010-03-04T02:12:00-07:00",
-          "2010-03-04T02:13:00-07:00",
-          "2010-03-04T02:14:00-07:00",
-          "2010-03-04T02:15:00-07:00",
-          "2010-03-04T02:16:00-07:00",
-          "2010-03-04T02:17:00-07:00",
-          "2010-03-04T02:18:00-07:00",
-          "2010-03-04T02:19:00-07:00",
-          "2010-03-04T02:20:00-07:00",
-          "2010-03-04T02:21:00-07:00",
-          "2010-03-04T02:22:00-07:00",
-          "2010-03-04T02:23:00-07:00",
-          "2010-03-04T02:24:00-07:00",
-          "2010-03-04T02:25:00-07:00",
-          "2010-03-04T02:26:00-07:00",
-          "2010-03-04T02:27:00-07:00",
-          "2010-03-04T02:28:00-07:00",
-          "2010-03-04T02:29:00-07:00",
-          "2010-03-04T02:30:00-07:00",
-          "2010-03-04T02:31:00-07:00",
-          "2010-03-04T02:32:00-07:00",
-          "2010-03-04T02:33:00-07:00",
-          "2010-03-04T02:34:00-07:00",
-          "2010-03-04T02:35:00-07:00",
-          "2010-03-04T02:36:00-07:00",
-          "2010-03-04T02:37:00-07:00",
-          "2010-03-04T02:38:00-07:00",
-          "2010-03-04T02:39:00-07:00",
-          "2010-03-04T02:40:00-07:00",
-          "2010-03-04T02:41:00-07:00",
-          "2010-03-04T02:42:00-07:00",
-          "2010-03-04T02:43:00-07:00",
-          "2010-03-04T02:44:00-07:00",
-          "2010-03-04T02:45:00-07:00",
-          "2010-03-04T02:46:00-07:00",
-          "2010-03-04T02:47:00-07:00",
-          "2010-03-04T02:48:00-07:00",
-          "2010-03-04T02:49:00-07:00",
-          "2010-03-04T02:50:00-07:00",
-          "2010-03-04T02:51:00-07:00",
-          "2010-03-04T02:52:00-07:00",
-          "2010-03-04T02:53:00-07:00",
-          "2010-03-04T02:54:00-07:00",
-          "2010-03-04T02:55:00-07:00",
-          "2010-03-04T02:56:00-07:00",
-          "2010-03-04T02:57:00-07:00",
-          "2010-03-04T02:58:00-07:00",
-          "2010-03-04T02:59:00-07:00",
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-          "2010-03-04T03:03:00-07:00",
-          "2010-03-04T03:04:00-07:00",
-          "2010-03-04T03:05:00-07:00",
-          "2010-03-04T03:06:00-07:00",
-          "2010-03-04T03:07:00-07:00",
-          "2010-03-04T03:08:00-07:00",
-          "2010-03-04T03:09:00-07:00",
-          "2010-03-04T03:10:00-07:00",
-          "2010-03-04T03:11:00-07:00",
-          "2010-03-04T03:12:00-07:00",
-          "2010-03-04T03:13:00-07:00",
-          "2010-03-04T03:14:00-07:00",
-          "2010-03-04T03:15:00-07:00",
-          "2010-03-04T03:16:00-07:00",
-          "2010-03-04T03:17:00-07:00",
-          "2010-03-04T03:18:00-07:00",
-          "2010-03-04T03:19:00-07:00",
-          "2010-03-04T03:20:00-07:00",
-          "2010-03-04T03:21:00-07:00",
-          "2010-03-04T03:22:00-07:00",
-          "2010-03-04T03:23:00-07:00",
-          "2010-03-04T03:24:00-07:00",
-          "2010-03-04T03:25:00-07:00",
-          "2010-03-04T03:26:00-07:00",
-          "2010-03-04T03:27:00-07:00",
-          "2010-03-04T03:28:00-07:00",
-          "2010-03-04T03:29:00-07:00",
-          "2010-03-04T03:30:00-07:00",
-          "2010-03-04T03:31:00-07:00",
-          "2010-03-04T03:32:00-07:00",
-          "2010-03-04T03:33:00-07:00",
-          "2010-03-04T03:34:00-07:00",
-          "2010-03-04T03:35:00-07:00",
-          "2010-03-04T03:36:00-07:00",
-          "2010-03-04T03:37:00-07:00",
-          "2010-03-04T03:38:00-07:00",
-          "2010-03-04T03:39:00-07:00",
-          "2010-03-04T03:40:00-07:00",
-          "2010-03-04T03:41:00-07:00",
-          "2010-03-04T03:42:00-07:00",
-          "2010-03-04T03:43:00-07:00",
-          "2010-03-04T03:44:00-07:00",
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-          "2010-03-04T03:46:00-07:00",
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-          "2010-03-04T03:49:00-07:00",
-          "2010-03-04T03:50:00-07:00",
-          "2010-03-04T03:51:00-07:00",
-          "2010-03-04T03:52:00-07:00",
-          "2010-03-04T03:53:00-07:00",
-          "2010-03-04T03:54:00-07:00",
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-          "2010-03-04T03:56:00-07:00",
-          "2010-03-04T03:57:00-07:00",
-          "2010-03-04T03:58:00-07:00",
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-          "2010-03-04T04:00:00-07:00",
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-          "2010-03-04T04:03:00-07:00",
-          "2010-03-04T04:04:00-07:00",
-          "2010-03-04T04:05:00-07:00",
-          "2010-03-04T04:06:00-07:00",
-          "2010-03-04T04:07:00-07:00",
-          "2010-03-04T04:08:00-07:00",
-          "2010-03-04T04:09:00-07:00",
-          "2010-03-04T04:10:00-07:00",
-          "2010-03-04T04:11:00-07:00",
-          "2010-03-04T04:12:00-07:00",
-          "2010-03-04T04:13:00-07:00",
-          "2010-03-04T04:14:00-07:00",
-          "2010-03-04T04:15:00-07:00",
-          "2010-03-04T04:16:00-07:00",
-          "2010-03-04T04:17:00-07:00",
-          "2010-03-04T04:18:00-07:00",
-          "2010-03-04T04:19:00-07:00",
-          "2010-03-04T04:20:00-07:00",
-          "2010-03-04T04:21:00-07:00",
-          "2010-03-04T04:22:00-07:00",
-          "2010-03-04T04:23:00-07:00",
-          "2010-03-04T04:24:00-07:00",
-          "2010-03-04T04:25:00-07:00",
-          "2010-03-04T04:26:00-07:00",
-          "2010-03-04T04:27:00-07:00",
-          "2010-03-04T04:28:00-07:00",
-          "2010-03-04T04:29:00-07:00",
-          "2010-03-04T04:30:00-07:00",
-          "2010-03-04T04:31:00-07:00",
-          "2010-03-04T04:32:00-07:00",
-          "2010-03-04T04:33:00-07:00",
-          "2010-03-04T04:34:00-07:00",
-          "2010-03-04T04:35:00-07:00",
-          "2010-03-04T04:36:00-07:00",
-          "2010-03-04T04:37:00-07:00",
-          "2010-03-04T04:38:00-07:00",
-          "2010-03-04T04:39:00-07:00",
-          "2010-03-04T04:40:00-07:00",
-          "2010-03-04T04:41:00-07:00",
-          "2010-03-04T04:42:00-07:00",
-          "2010-03-04T04:43:00-07:00",
-          "2010-03-04T04:44:00-07:00",
-          "2010-03-04T04:45:00-07:00",
-          "2010-03-04T04:46:00-07:00",
-          "2010-03-04T04:47:00-07:00",
-          "2010-03-04T04:48:00-07:00",
-          "2010-03-04T04:49:00-07:00",
-          "2010-03-04T04:50:00-07:00",
-          "2010-03-04T04:51:00-07:00",
-          "2010-03-04T04:52:00-07:00",
-          "2010-03-04T04:53:00-07:00",
-          "2010-03-04T04:54:00-07:00",
-          "2010-03-04T04:55:00-07:00",
-          "2010-03-04T04:56:00-07:00",
-          "2010-03-04T04:57:00-07:00",
-          "2010-03-04T04:58:00-07:00",
-          "2010-03-04T04:59:00-07:00",
-          "2010-03-04T05:00:00-07:00",
-          "2010-03-04T05:01:00-07:00",
-          "2010-03-04T05:02:00-07:00",
-          "2010-03-04T05:03:00-07:00",
-          "2010-03-04T05:04:00-07:00",
-          "2010-03-04T05:05:00-07:00",
-          "2010-03-04T05:06:00-07:00",
-          "2010-03-04T05:07:00-07:00",
-          "2010-03-04T05:08:00-07:00",
-          "2010-03-04T05:09:00-07:00",
-          "2010-03-04T05:10:00-07:00",
-          "2010-03-04T05:11:00-07:00",
-          "2010-03-04T05:12:00-07:00",
-          "2010-03-04T05:13:00-07:00",
-          "2010-03-04T05:14:00-07:00",
-          "2010-03-04T05:15:00-07:00",
-          "2010-03-04T05:16:00-07:00",
-          "2010-03-04T05:17:00-07:00",
-          "2010-03-04T05:18:00-07:00",
-          "2010-03-04T05:19:00-07:00",
-          "2010-03-04T05:20:00-07:00",
-          "2010-03-04T05:21:00-07:00",
-          "2010-03-04T05:22:00-07:00",
-          "2010-03-04T05:23:00-07:00",
-          "2010-03-04T05:24:00-07:00",
-          "2010-03-04T05:25:00-07:00",
-          "2010-03-04T05:26:00-07:00",
-          "2010-03-04T05:27:00-07:00",
-          "2010-03-04T05:28:00-07:00",
-          "2010-03-04T05:29:00-07:00",
-          "2010-03-04T05:30:00-07:00",
-          "2010-03-04T05:31:00-07:00",
-          "2010-03-04T05:32:00-07:00",
-          "2010-03-04T05:33:00-07:00",
-          "2010-03-04T05:34:00-07:00",
-          "2010-03-04T05:35:00-07:00",
-          "2010-03-04T05:36:00-07:00",
-          "2010-03-04T05:37:00-07:00",
-          "2010-03-04T05:38:00-07:00",
-          "2010-03-04T05:39:00-07:00",
-          "2010-03-04T05:40:00-07:00",
-          "2010-03-04T05:41:00-07:00",
-          "2010-03-04T05:42:00-07:00",
-          "2010-03-04T05:43:00-07:00",
-          "2010-03-04T05:44:00-07:00",
-          "2010-03-04T05:45:00-07:00",
-          "2010-03-04T05:46:00-07:00",
-          "2010-03-04T05:47:00-07:00",
-          "2010-03-04T05:48:00-07:00",
-          "2010-03-04T05:49:00-07:00",
-          "2010-03-04T05:50:00-07:00",
-          "2010-03-04T05:51:00-07:00",
-          "2010-03-04T05:52:00-07:00",
-          "2010-03-04T05:53:00-07:00",
-          "2010-03-04T05:54:00-07:00",
-          "2010-03-04T05:55:00-07:00",
-          "2010-03-04T05:56:00-07:00",
-          "2010-03-04T05:57:00-07:00",
-          "2010-03-04T05:58:00-07:00",
-          "2010-03-04T05:59:00-07:00",
-          "2010-03-04T06:00:00-07:00",
-          "2010-03-04T06:01:00-07:00",
-          "2010-03-04T06:02:00-07:00",
-          "2010-03-04T06:03:00-07:00",
-          "2010-03-04T06:04:00-07:00",
-          "2010-03-04T06:05:00-07:00",
-          "2010-03-04T06:06:00-07:00",
-          "2010-03-04T06:07:00-07:00",
-          "2010-03-04T06:08:00-07:00",
-          "2010-03-04T06:09:00-07:00",
-          "2010-03-04T06:10:00-07:00",
-          "2010-03-04T06:11:00-07:00",
-          "2010-03-04T06:12:00-07:00",
-          "2010-03-04T06:13:00-07:00",
-          "2010-03-04T06:14:00-07:00",
-          "2010-03-04T06:15:00-07:00",
-          "2010-03-04T06:16:00-07:00",
-          "2010-03-04T06:17:00-07:00",
-          "2010-03-04T06:18:00-07:00",
-          "2010-03-04T06:19:00-07:00",
-          "2010-03-04T06:20:00-07:00",
-          "2010-03-04T06:21:00-07:00",
-          "2010-03-04T06:22:00-07:00",
-          "2010-03-04T06:23:00-07:00",
-          "2010-03-04T06:24:00-07:00",
-          "2010-03-04T06:25:00-07:00",
-          "2010-03-04T06:26:00-07:00",
-          "2010-03-04T06:27:00-07:00",
-          "2010-03-04T06:28:00-07:00",
-          "2010-03-04T06:29:00-07:00",
-          "2010-03-04T06:30:00-07:00",
-          "2010-03-04T06:31:00-07:00",
-          "2010-03-04T06:32:00-07:00",
-          "2010-03-04T06:33:00-07:00",
-          "2010-03-04T12:35:00-07:00",
-          "2010-03-04T12:40:00-07:00",
-          "2010-03-04T12:41:00-07:00",
-          "2010-03-04T12:45:00-07:00",
-          "2010-03-04T12:50:00-07:00",
-          "2010-03-04T12:54:00-07:00",
-          "2010-03-04T12:56:00-07:00",
-          "2010-03-04T13:12:00-07:00",
-          "2010-03-04T13:13:00-07:00",
-          "2010-03-04T13:38:00-07:00",
-          "2010-03-04T13:39:00-07:00",
-          "2010-03-04T13:40:00-07:00",
-          "2010-03-04T13:52:00-07:00",
-          "2010-03-04T13:54:00-07:00",
-          "2010-03-04T13:55:00-07:00",
-          "2010-03-04T17:36:00-07:00",
-          "2010-03-04T17:37:00-07:00",
-          "2010-03-04T17:41:00-07:00",
-          "2010-03-04T17:42:00-07:00",
-          "2010-03-04T17:43:00-07:00",
-          "2010-03-04T17:44:00-07:00",
-          "2010-03-04T17:45:00-07:00",
-          "2010-03-04T17:46:00-07:00",
-          "2010-03-04T17:47:00-07:00",
-          "2010-03-04T17:48:00-07:00",
-          "2010-03-04T17:49:00-07:00",
-          "2010-03-04T17:50:00-07:00",
-          "2010-03-04T17:51:00-07:00",
-          "2010-03-04T17:52:00-07:00",
-          "2010-03-04T17:53:00-07:00",
-          "2010-03-04T17:54:00-07:00",
-          "2010-03-04T17:55:00-07:00",
-          "2010-03-04T17:56:00-07:00",
-          "2010-03-04T17:57:00-07:00",
-          "2010-03-04T17:58:00-07:00",
-          "2010-03-04T17:59:00-07:00",
-          "2010-03-04T18:00:00-07:00",
-          "2010-03-04T18:01:00-07:00",
-          "2010-03-04T18:02:00-07:00",
-          "2010-03-04T18:03:00-07:00",
-          "2010-03-04T18:04:00-07:00",
-          "2010-03-04T18:05:00-07:00",
-          "2010-03-04T18:06:00-07:00",
-          "2010-03-04T18:07:00-07:00",
-          "2010-03-04T18:08:00-07:00",
-          "2010-03-04T18:09:00-07:00",
-          "2010-03-04T18:10:00-07:00",
-          "2010-03-04T18:11:00-07:00",
-          "2010-03-04T18:12:00-07:00",
-          "2010-03-04T18:13:00-07:00",
-          "2010-03-04T18:14:00-07:00",
-          "2010-03-04T18:15:00-07:00",
-          "2010-03-04T18:16:00-07:00",
-          "2010-03-04T18:17:00-07:00",
-          "2010-03-04T18:18:00-07:00",
-          "2010-03-04T18:19:00-07:00",
-          "2010-03-04T18:20:00-07:00",
-          "2010-03-04T18:21:00-07:00",
-          "2010-03-04T18:22:00-07:00",
-          "2010-03-04T18:23:00-07:00",
-          "2010-03-04T18:24:00-07:00",
-          "2010-03-04T18:25:00-07:00",
-          "2010-03-04T18:26:00-07:00",
-          "2010-03-04T18:27:00-07:00",
-          "2010-03-04T18:28:00-07:00",
-          "2010-03-04T18:29:00-07:00",
-          "2010-03-04T18:30:00-07:00",
-          "2010-03-04T18:31:00-07:00",
-          "2010-03-04T18:32:00-07:00",
-          "2010-03-04T18:33:00-07:00",
-          "2010-03-04T18:34:00-07:00",
-          "2010-03-04T18:35:00-07:00",
-          "2010-03-04T18:36:00-07:00",
-          "2010-03-04T18:37:00-07:00",
-          "2010-03-04T18:38:00-07:00",
-          "2010-03-04T18:39:00-07:00",
-          "2010-03-04T18:40:00-07:00",
-          "2010-03-04T18:41:00-07:00",
-          "2010-03-04T18:42:00-07:00",
-          "2010-03-04T18:43:00-07:00",
-          "2010-03-04T18:44:00-07:00",
-          "2010-03-04T18:45:00-07:00",
-          "2010-03-04T18:46:00-07:00",
-          "2010-03-04T18:47:00-07:00",
-          "2010-03-04T18:48:00-07:00",
-          "2010-03-04T18:49:00-07:00",
-          "2010-03-04T18:50:00-07:00",
-          "2010-03-04T18:51:00-07:00",
-          "2010-03-04T18:52:00-07:00",
-          "2010-03-04T18:53:00-07:00",
-          "2010-03-04T18:54:00-07:00",
-          "2010-03-04T18:55:00-07:00",
-          "2010-03-04T18:56:00-07:00",
-          "2010-03-04T18:57:00-07:00",
-          "2010-03-04T18:58:00-07:00",
-          "2010-03-04T18:59:00-07:00",
-          "2010-03-04T19:00:00-07:00",
-          "2010-03-04T19:01:00-07:00",
-          "2010-03-04T19:02:00-07:00",
-          "2010-03-04T19:03:00-07:00",
-          "2010-03-04T19:04:00-07:00",
-          "2010-03-04T19:05:00-07:00",
-          "2010-03-04T19:06:00-07:00",
-          "2010-03-04T19:07:00-07:00",
-          "2010-03-04T19:08:00-07:00",
-          "2010-03-04T19:09:00-07:00",
-          "2010-03-04T19:10:00-07:00",
-          "2010-03-04T19:11:00-07:00",
-          "2010-03-04T19:12:00-07:00",
-          "2010-03-04T19:13:00-07:00",
-          "2010-03-04T19:14:00-07:00",
-          "2010-03-04T19:15:00-07:00",
-          "2010-03-04T19:16:00-07:00",
-          "2010-03-04T19:17:00-07:00",
-          "2010-03-04T19:18:00-07:00",
-          "2010-03-04T19:19:00-07:00",
-          "2010-03-04T19:20:00-07:00",
-          "2010-03-04T19:21:00-07:00",
-          "2010-03-04T19:22:00-07:00",
-          "2010-03-04T19:23:00-07:00",
-          "2010-03-04T19:24:00-07:00",
-          "2010-03-04T19:25:00-07:00",
-          "2010-03-04T19:26:00-07:00",
-          "2010-03-04T19:27:00-07:00",
-          "2010-03-04T19:28:00-07:00",
-          "2010-03-04T19:29:00-07:00",
-          "2010-03-04T19:30:00-07:00",
-          "2010-03-04T19:31:00-07:00",
-          "2010-03-04T19:32:00-07:00",
-          "2010-03-04T19:33:00-07:00",
-          "2010-03-04T19:34:00-07:00",
-          "2010-03-04T19:35:00-07:00",
-          "2010-03-04T19:36:00-07:00",
-          "2010-03-04T19:37:00-07:00",
-          "2010-03-04T19:38:00-07:00",
-          "2010-03-04T19:39:00-07:00",
-          "2010-03-04T19:40:00-07:00",
-          "2010-03-04T19:41:00-07:00",
-          "2010-03-04T19:42:00-07:00",
-          "2010-03-04T19:43:00-07:00",
-          "2010-03-04T19:44:00-07:00",
-          "2010-03-04T19:45:00-07:00",
-          "2010-03-04T19:46:00-07:00",
-          "2010-03-04T19:47:00-07:00",
-          "2010-03-04T19:48:00-07:00",
-          "2010-03-04T19:49:00-07:00",
-          "2010-03-04T19:50:00-07:00",
-          "2010-03-04T19:51:00-07:00",
-          "2010-03-04T19:52:00-07:00",
-          "2010-03-04T19:53:00-07:00",
-          "2010-03-04T19:54:00-07:00",
-          "2010-03-04T19:55:00-07:00",
-          "2010-03-04T19:56:00-07:00",
-          "2010-03-04T19:57:00-07:00",
-          "2010-03-04T19:58:00-07:00",
-          "2010-03-04T19:59:00-07:00",
-          "2010-03-04T20:00:00-07:00",
-          "2010-03-04T20:01:00-07:00",
-          "2010-03-04T20:02:00-07:00",
-          "2010-03-04T20:03:00-07:00",
-          "2010-03-04T20:04:00-07:00",
-          "2010-03-04T20:05:00-07:00",
-          "2010-03-04T20:06:00-07:00",
-          "2010-03-04T20:07:00-07:00",
-          "2010-03-04T20:08:00-07:00",
-          "2010-03-04T20:09:00-07:00",
-          "2010-03-04T20:10:00-07:00",
-          "2010-03-04T20:11:00-07:00",
-          "2010-03-04T20:12:00-07:00",
-          "2010-03-04T20:13:00-07:00",
-          "2010-03-04T20:14:00-07:00",
-          "2010-03-04T20:15:00-07:00",
-          "2010-03-04T20:16:00-07:00",
-          "2010-03-04T20:17:00-07:00",
-          "2010-03-04T20:18:00-07:00",
-          "2010-03-04T20:19:00-07:00",
-          "2010-03-04T20:20:00-07:00",
-          "2010-03-04T20:21:00-07:00",
-          "2010-03-04T20:22:00-07:00",
-          "2010-03-04T20:23:00-07:00",
-          "2010-03-04T20:24:00-07:00",
-          "2010-03-04T20:25:00-07:00",
-          "2010-03-04T20:26:00-07:00",
-          "2010-03-04T20:27:00-07:00",
-          "2010-03-04T20:28:00-07:00",
-          "2010-03-04T20:29:00-07:00",
-          "2010-03-04T20:30:00-07:00",
-          "2010-03-04T20:31:00-07:00",
-          "2010-03-04T20:32:00-07:00",
-          "2010-03-04T20:33:00-07:00",
-          "2010-03-04T20:34:00-07:00",
-          "2010-03-04T20:35:00-07:00",
-          "2010-03-04T20:36:00-07:00",
-          "2010-03-04T20:37:00-07:00",
-          "2010-03-04T20:38:00-07:00",
-          "2010-03-04T20:39:00-07:00",
-          "2010-03-04T20:40:00-07:00",
-          "2010-03-04T20:41:00-07:00",
-          "2010-03-04T20:42:00-07:00",
-          "2010-03-04T20:43:00-07:00",
-          "2010-03-04T20:44:00-07:00",
-          "2010-03-04T20:45:00-07:00",
-          "2010-03-04T20:46:00-07:00",
-          "2010-03-04T20:47:00-07:00",
-          "2010-03-04T20:48:00-07:00",
-          "2010-03-04T20:49:00-07:00",
-          "2010-03-04T20:50:00-07:00",
-          "2010-03-04T20:51:00-07:00",
-          "2010-03-04T20:52:00-07:00",
-          "2010-03-04T20:53:00-07:00",
-          "2010-03-04T20:54:00-07:00",
-          "2010-03-04T20:55:00-07:00",
-          "2010-03-04T20:56:00-07:00",
-          "2010-03-04T20:57:00-07:00",
-          "2010-03-04T20:58:00-07:00",
-          "2010-03-04T20:59:00-07:00",
-          "2010-03-04T21:00:00-07:00",
-          "2010-03-04T21:01:00-07:00",
-          "2010-03-04T21:02:00-07:00",
-          "2010-03-04T21:03:00-07:00",
-          "2010-03-04T21:04:00-07:00",
-          "2010-03-04T21:05:00-07:00",
-          "2010-03-04T21:06:00-07:00",
-          "2010-03-04T21:07:00-07:00",
-          "2010-03-04T21:08:00-07:00",
-          "2010-03-04T21:09:00-07:00",
-          "2010-03-04T21:10:00-07:00",
-          "2010-03-04T21:11:00-07:00",
-          "2010-03-04T21:12:00-07:00",
-          "2010-03-04T21:13:00-07:00",
-          "2010-03-04T21:14:00-07:00",
-          "2010-03-04T21:15:00-07:00",
-          "2010-03-04T21:16:00-07:00",
-          "2010-03-04T21:17:00-07:00",
-          "2010-03-04T21:18:00-07:00",
-          "2010-03-04T21:19:00-07:00",
-          "2010-03-04T21:20:00-07:00",
-          "2010-03-04T21:21:00-07:00",
-          "2010-03-04T21:22:00-07:00",
-          "2010-03-04T21:23:00-07:00",
-          "2010-03-04T21:24:00-07:00",
-          "2010-03-04T21:25:00-07:00",
-          "2010-03-04T21:26:00-07:00",
-          "2010-03-04T21:27:00-07:00",
-          "2010-03-04T21:28:00-07:00",
-          "2010-03-04T21:29:00-07:00",
-          "2010-03-04T21:30:00-07:00",
-          "2010-03-04T21:31:00-07:00",
-          "2010-03-04T21:32:00-07:00",
-          "2010-03-04T21:33:00-07:00",
-          "2010-03-04T21:34:00-07:00",
-          "2010-03-04T21:35:00-07:00",
-          "2010-03-04T21:36:00-07:00",
-          "2010-03-04T21:37:00-07:00",
-          "2010-03-04T21:38:00-07:00",
-          "2010-03-04T21:39:00-07:00",
-          "2010-03-04T21:40:00-07:00",
-          "2010-03-04T21:41:00-07:00",
-          "2010-03-04T21:42:00-07:00",
-          "2010-03-04T21:43:00-07:00",
-          "2010-03-04T21:44:00-07:00",
-          "2010-03-04T21:45:00-07:00",
-          "2010-03-04T21:46:00-07:00",
-          "2010-03-04T21:47:00-07:00",
-          "2010-03-04T21:48:00-07:00",
-          "2010-03-04T21:49:00-07:00",
-          "2010-03-04T21:50:00-07:00",
-          "2010-03-04T21:51:00-07:00",
-          "2010-03-04T21:52:00-07:00",
-          "2010-03-04T21:53:00-07:00",
-          "2010-03-04T21:54:00-07:00",
-          "2010-03-04T21:55:00-07:00",
-          "2010-03-04T21:56:00-07:00",
-          "2010-03-04T21:57:00-07:00",
-          "2010-03-04T21:58:00-07:00",
-          "2010-03-04T21:59:00-07:00",
-          "2010-03-04T22:00:00-07:00",
-          "2010-03-04T22:01:00-07:00",
-          "2010-03-04T22:02:00-07:00",
-          "2010-03-04T22:03:00-07:00",
-          "2010-03-04T22:04:00-07:00",
-          "2010-03-04T22:05:00-07:00",
-          "2010-03-04T22:06:00-07:00",
-          "2010-03-04T22:07:00-07:00",
-          "2010-03-04T22:08:00-07:00",
-          "2010-03-04T22:09:00-07:00",
-          "2010-03-04T22:10:00-07:00",
-          "2010-03-04T22:11:00-07:00",
-          "2010-03-04T22:12:00-07:00",
-          "2010-03-04T22:13:00-07:00",
-          "2010-03-04T22:14:00-07:00",
-          "2010-03-04T22:15:00-07:00",
-          "2010-03-04T22:16:00-07:00",
-          "2010-03-04T22:17:00-07:00",
-          "2010-03-04T22:18:00-07:00",
-          "2010-03-04T22:19:00-07:00",
-          "2010-03-04T22:20:00-07:00",
-          "2010-03-04T22:21:00-07:00",
-          "2010-03-04T22:22:00-07:00",
-          "2010-03-04T22:23:00-07:00",
-          "2010-03-04T22:24:00-07:00",
-          "2010-03-04T22:25:00-07:00",
-          "2010-03-04T22:26:00-07:00",
-          "2010-03-04T22:27:00-07:00",
-          "2010-03-04T22:28:00-07:00",
-          "2010-03-04T22:29:00-07:00",
-          "2010-03-04T22:30:00-07:00",
-          "2010-03-04T22:31:00-07:00",
-          "2010-03-04T22:32:00-07:00",
-          "2010-03-04T22:33:00-07:00",
-          "2010-03-04T22:34:00-07:00",
-          "2010-03-04T22:35:00-07:00",
-          "2010-03-04T22:36:00-07:00",
-          "2010-03-04T22:37:00-07:00",
-          "2010-03-04T22:38:00-07:00",
-          "2010-03-04T22:39:00-07:00",
-          "2010-03-04T22:40:00-07:00",
-          "2010-03-04T22:41:00-07:00",
-          "2010-03-04T22:42:00-07:00",
-          "2010-03-04T22:43:00-07:00",
-          "2010-03-04T22:44:00-07:00",
-          "2010-03-04T22:45:00-07:00",
-          "2010-03-04T22:46:00-07:00",
-          "2010-03-04T22:47:00-07:00",
-          "2010-03-04T22:48:00-07:00",
-          "2010-03-04T22:49:00-07:00",
-          "2010-03-04T22:50:00-07:00",
-          "2010-03-04T22:51:00-07:00",
-          "2010-03-04T22:52:00-07:00",
-          "2010-03-04T22:53:00-07:00",
-          "2010-03-04T22:54:00-07:00",
-          "2010-03-04T22:55:00-07:00",
-          "2010-03-04T22:56:00-07:00",
-          "2010-03-04T22:57:00-07:00",
-          "2010-03-04T22:58:00-07:00",
-          "2010-03-04T22:59:00-07:00",
-          "2010-03-04T23:00:00-07:00",
-          "2010-03-04T23:01:00-07:00",
-          "2010-03-04T23:02:00-07:00",
-          "2010-03-04T23:03:00-07:00",
-          "2010-03-04T23:04:00-07:00",
-          "2010-03-04T23:05:00-07:00",
-          "2010-03-04T23:06:00-07:00",
-          "2010-03-04T23:07:00-07:00",
-          "2010-03-04T23:08:00-07:00",
-          "2010-03-04T23:09:00-07:00",
-          "2010-03-04T23:10:00-07:00",
-          "2010-03-04T23:11:00-07:00",
-          "2010-03-04T23:12:00-07:00",
-          "2010-03-04T23:13:00-07:00",
-          "2010-03-04T23:14:00-07:00",
-          "2010-03-04T23:15:00-07:00",
-          "2010-03-04T23:16:00-07:00",
-          "2010-03-04T23:17:00-07:00",
-          "2010-03-04T23:18:00-07:00",
-          "2010-03-04T23:19:00-07:00",
-          "2010-03-04T23:20:00-07:00",
-          "2010-03-04T23:21:00-07:00",
-          "2010-03-04T23:22:00-07:00",
-          "2010-03-04T23:23:00-07:00",
-          "2010-03-04T23:24:00-07:00",
-          "2010-03-04T23:25:00-07:00",
-          "2010-03-04T23:26:00-07:00",
-          "2010-03-04T23:27:00-07:00",
-          "2010-03-04T23:28:00-07:00",
-          "2010-03-04T23:29:00-07:00",
-          "2010-03-04T23:30:00-07:00",
-          "2010-03-04T23:31:00-07:00",
-          "2010-03-04T23:32:00-07:00",
-          "2010-03-04T23:33:00-07:00",
-          "2010-03-04T23:34:00-07:00",
-          "2010-03-04T23:35:00-07:00",
-          "2010-03-04T23:36:00-07:00",
-          "2010-03-04T23:37:00-07:00",
-          "2010-03-04T23:38:00-07:00",
-          "2010-03-04T23:39:00-07:00",
-          "2010-03-04T23:40:00-07:00",
-          "2010-03-04T23:41:00-07:00",
-          "2010-03-04T23:42:00-07:00",
-          "2010-03-04T23:43:00-07:00",
-          "2010-03-04T23:44:00-07:00",
-          "2010-03-04T23:45:00-07:00",
-          "2010-03-04T23:46:00-07:00",
-          "2010-03-04T23:47:00-07:00",
-          "2010-03-04T23:48:00-07:00",
-          "2010-03-04T23:49:00-07:00",
-          "2010-03-04T23:50:00-07:00",
-          "2010-03-04T23:51:00-07:00",
-          "2010-03-04T23:52:00-07:00",
-          "2010-03-04T23:53:00-07:00",
-          "2010-03-04T23:54:00-07:00",
-          "2010-03-04T23:55:00-07:00",
-          "2010-03-04T23:56:00-07:00",
-          "2010-03-04T23:57:00-07:00",
-          "2010-03-04T23:58:00-07:00",
-          "2010-03-04T23:59:00-07:00",
-          "2010-03-05T00:00:00-07:00",
-          "2010-03-05T00:01:00-07:00",
-          "2010-03-05T00:02:00-07:00",
-          "2010-03-05T00:03:00-07:00",
-          "2010-03-05T00:04:00-07:00",
-          "2010-03-05T00:05:00-07:00",
-          "2010-03-05T00:06:00-07:00",
-          "2010-03-05T00:07:00-07:00",
-          "2010-03-05T00:08:00-07:00",
-          "2010-03-05T00:09:00-07:00",
-          "2010-03-05T00:10:00-07:00",
-          "2010-03-05T00:11:00-07:00",
-          "2010-03-05T00:12:00-07:00",
-          "2010-03-05T00:13:00-07:00",
-          "2010-03-05T00:14:00-07:00",
-          "2010-03-05T00:15:00-07:00",
-          "2010-03-05T00:16:00-07:00",
-          "2010-03-05T00:17:00-07:00",
-          "2010-03-05T00:18:00-07:00",
-          "2010-03-05T00:19:00-07:00",
-          "2010-03-05T00:20:00-07:00",
-          "2010-03-05T00:21:00-07:00",
-          "2010-03-05T00:22:00-07:00",
-          "2010-03-05T00:23:00-07:00",
-          "2010-03-05T00:24:00-07:00",
-          "2010-03-05T00:25:00-07:00",
-          "2010-03-05T00:26:00-07:00",
-          "2010-03-05T00:27:00-07:00",
-          "2010-03-05T00:28:00-07:00",
-          "2010-03-05T00:29:00-07:00",
-          "2010-03-05T00:30:00-07:00",
-          "2010-03-05T00:31:00-07:00",
-          "2010-03-05T00:32:00-07:00",
-          "2010-03-05T00:33:00-07:00",
-          "2010-03-05T00:34:00-07:00",
-          "2010-03-05T00:35:00-07:00",
-          "2010-03-05T00:36:00-07:00",
-          "2010-03-05T00:37:00-07:00",
-          "2010-03-05T00:38:00-07:00",
-          "2010-03-05T00:39:00-07:00",
-          "2010-03-05T00:40:00-07:00",
-          "2010-03-05T00:41:00-07:00",
-          "2010-03-05T00:42:00-07:00",
-          "2010-03-05T00:43:00-07:00",
-          "2010-03-05T00:44:00-07:00",
-          "2010-03-05T00:45:00-07:00",
-          "2010-03-05T00:46:00-07:00",
-          "2010-03-05T00:47:00-07:00",
-          "2010-03-05T00:48:00-07:00",
-          "2010-03-05T00:49:00-07:00",
-          "2010-03-05T00:50:00-07:00",
-          "2010-03-05T00:51:00-07:00",
-          "2010-03-05T00:52:00-07:00",
-          "2010-03-05T00:53:00-07:00",
-          "2010-03-05T00:54:00-07:00",
-          "2010-03-05T00:55:00-07:00",
-          "2010-03-05T00:56:00-07:00",
-          "2010-03-05T00:57:00-07:00",
-          "2010-03-05T00:58:00-07:00",
-          "2010-03-05T00:59:00-07:00",
-          "2010-03-05T01:00:00-07:00",
-          "2010-03-05T01:01:00-07:00",
-          "2010-03-05T01:02:00-07:00",
-          "2010-03-05T01:03:00-07:00",
-          "2010-03-05T01:04:00-07:00",
-          "2010-03-05T01:05:00-07:00",
-          "2010-03-05T01:06:00-07:00",
-          "2010-03-05T01:07:00-07:00",
-          "2010-03-05T01:08:00-07:00",
-          "2010-03-05T01:09:00-07:00",
-          "2010-03-05T01:10:00-07:00",
-          "2010-03-05T01:11:00-07:00",
-          "2010-03-05T01:12:00-07:00",
-          "2010-03-05T01:13:00-07:00",
-          "2010-03-05T01:14:00-07:00",
-          "2010-03-05T01:15:00-07:00",
-          "2010-03-05T01:16:00-07:00",
-          "2010-03-05T01:17:00-07:00",
-          "2010-03-05T01:18:00-07:00",
-          "2010-03-05T01:19:00-07:00",
-          "2010-03-05T01:20:00-07:00",
-          "2010-03-05T01:21:00-07:00",
-          "2010-03-05T01:22:00-07:00",
-          "2010-03-05T01:23:00-07:00",
-          "2010-03-05T01:24:00-07:00",
-          "2010-03-05T01:25:00-07:00",
-          "2010-03-05T01:26:00-07:00",
-          "2010-03-05T01:27:00-07:00",
-          "2010-03-05T01:28:00-07:00",
-          "2010-03-05T01:29:00-07:00",
-          "2010-03-05T01:30:00-07:00",
-          "2010-03-05T01:31:00-07:00",
-          "2010-03-05T01:32:00-07:00",
-          "2010-03-05T01:33:00-07:00",
-          "2010-03-05T01:34:00-07:00",
-          "2010-03-05T01:35:00-07:00",
-          "2010-03-05T01:36:00-07:00",
-          "2010-03-05T01:37:00-07:00",
-          "2010-03-05T01:38:00-07:00",
-          "2010-03-05T01:39:00-07:00",
-          "2010-03-05T01:40:00-07:00",
-          "2010-03-05T01:41:00-07:00",
-          "2010-03-05T01:42:00-07:00",
-          "2010-03-05T01:43:00-07:00",
-          "2010-03-05T01:44:00-07:00",
-          "2010-03-05T01:45:00-07:00",
-          "2010-03-05T01:46:00-07:00",
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-          "2010-03-05T01:48:00-07:00",
-          "2010-03-05T01:49:00-07:00",
-          "2010-03-05T01:50:00-07:00",
-          "2010-03-05T01:51:00-07:00",
-          "2010-03-05T01:52:00-07:00",
-          "2010-03-05T01:53:00-07:00",
-          "2010-03-05T01:54:00-07:00",
-          "2010-03-05T01:55:00-07:00",
-          "2010-03-05T01:56:00-07:00",
-          "2010-03-05T01:57:00-07:00",
-          "2010-03-05T01:58:00-07:00",
-          "2010-03-05T01:59:00-07:00",
-          "2010-03-05T02:00:00-07:00",
-          "2010-03-05T02:01:00-07:00",
-          "2010-03-05T02:02:00-07:00",
-          "2010-03-05T02:03:00-07:00",
-          "2010-03-05T02:04:00-07:00",
-          "2010-03-05T02:05:00-07:00",
-          "2010-03-05T02:06:00-07:00",
-          "2010-03-05T02:07:00-07:00",
-          "2010-03-05T02:08:00-07:00",
-          "2010-03-05T02:09:00-07:00",
-          "2010-03-05T02:10:00-07:00",
-          "2010-03-05T02:11:00-07:00",
-          "2010-03-05T02:12:00-07:00",
-          "2010-03-05T02:13:00-07:00",
-          "2010-03-05T02:14:00-07:00",
-          "2010-03-05T02:15:00-07:00",
-          "2010-03-05T02:16:00-07:00",
-          "2010-03-05T02:17:00-07:00",
-          "2010-03-05T02:18:00-07:00",
-          "2010-03-05T02:19:00-07:00",
-          "2010-03-05T02:20:00-07:00",
-          "2010-03-05T02:21:00-07:00",
-          "2010-03-05T02:22:00-07:00",
-          "2010-03-05T02:23:00-07:00",
-          "2010-03-05T02:24:00-07:00",
-          "2010-03-05T02:25:00-07:00",
-          "2010-03-05T02:26:00-07:00",
-          "2010-03-05T02:27:00-07:00",
-          "2010-03-05T02:28:00-07:00",
-          "2010-03-05T02:29:00-07:00",
-          "2010-03-05T02:30:00-07:00",
-          "2010-03-05T02:31:00-07:00",
-          "2010-03-05T02:32:00-07:00",
-          "2010-03-05T02:33:00-07:00",
-          "2010-03-05T02:34:00-07:00",
-          "2010-03-05T02:35:00-07:00",
-          "2010-03-05T02:36:00-07:00",
-          "2010-03-05T02:37:00-07:00",
-          "2010-03-05T02:38:00-07:00",
-          "2010-03-05T02:39:00-07:00",
-          "2010-03-05T02:40:00-07:00",
-          "2010-03-05T02:41:00-07:00",
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-          "2010-03-05T02:44:00-07:00",
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-          "2010-03-05T02:52:00-07:00",
-          "2010-03-05T02:53:00-07:00",
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-          "2010-03-05T03:12:00-07:00",
-          "2010-03-05T03:13:00-07:00",
-          "2010-03-05T03:14:00-07:00",
-          "2010-03-05T03:15:00-07:00",
-          "2010-03-05T03:16:00-07:00",
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-          "2010-03-05T03:18:00-07:00",
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-          "2010-03-05T03:21:00-07:00",
-          "2010-03-05T03:22:00-07:00",
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-          "2010-03-05T03:24:00-07:00",
-          "2010-03-05T03:25:00-07:00",
-          "2010-03-05T03:26:00-07:00",
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-          "2010-03-05T03:58:00-07:00",
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-          "2010-03-05T04:13:00-07:00",
-          "2010-03-05T04:14:00-07:00",
-          "2010-03-05T04:15:00-07:00",
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-          "2010-03-05T04:17:00-07:00",
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-          "2010-03-05T04:19:00-07:00",
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-          "2010-03-05T04:22:00-07:00",
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-          "2010-03-05T04:24:00-07:00",
-          "2010-03-05T04:25:00-07:00",
-          "2010-03-05T04:26:00-07:00",
-          "2010-03-05T04:27:00-07:00",
-          "2010-03-05T04:28:00-07:00",
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-          "2010-03-05T04:30:00-07:00",
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-          "2010-03-05T04:32:00-07:00",
-          "2010-03-05T04:33:00-07:00",
-          "2010-03-05T04:34:00-07:00",
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-          "2010-03-05T04:36:00-07:00",
-          "2010-03-05T04:37:00-07:00",
-          "2010-03-05T04:38:00-07:00",
-          "2010-03-05T04:39:00-07:00",
-          "2010-03-05T04:40:00-07:00",
-          "2010-03-05T04:41:00-07:00",
-          "2010-03-05T04:42:00-07:00",
-          "2010-03-05T04:43:00-07:00",
-          "2010-03-05T04:44:00-07:00",
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-          "2010-03-05T04:50:00-07:00",
-          "2010-03-05T04:51:00-07:00",
-          "2010-03-05T04:52:00-07:00",
-          "2010-03-05T04:53:00-07:00",
-          "2010-03-05T04:54:00-07:00",
-          "2010-03-05T04:55:00-07:00",
-          "2010-03-05T04:56:00-07:00",
-          "2010-03-05T04:57:00-07:00",
-          "2010-03-05T04:58:00-07:00",
-          "2010-03-05T04:59:00-07:00",
-          "2010-03-05T05:00:00-07:00",
-          "2010-03-05T05:01:00-07:00",
-          "2010-03-05T05:02:00-07:00",
-          "2010-03-05T05:03:00-07:00",
-          "2010-03-05T05:04:00-07:00",
-          "2010-03-05T05:05:00-07:00",
-          "2010-03-05T05:06:00-07:00",
-          "2010-03-05T05:07:00-07:00",
-          "2010-03-05T05:08:00-07:00",
-          "2010-03-05T05:09:00-07:00",
-          "2010-03-05T05:10:00-07:00",
-          "2010-03-05T05:11:00-07:00",
-          "2010-03-05T05:12:00-07:00",
-          "2010-03-05T05:13:00-07:00",
-          "2010-03-05T05:14:00-07:00",
-          "2010-03-05T05:15:00-07:00",
-          "2010-03-05T05:16:00-07:00",
-          "2010-03-05T05:17:00-07:00",
-          "2010-03-05T05:18:00-07:00",
-          "2010-03-05T05:19:00-07:00",
-          "2010-03-05T05:20:00-07:00",
-          "2010-03-05T05:21:00-07:00",
-          "2010-03-05T05:22:00-07:00",
-          "2010-03-05T05:23:00-07:00",
-          "2010-03-05T05:24:00-07:00",
-          "2010-03-05T05:25:00-07:00",
-          "2010-03-05T05:26:00-07:00",
-          "2010-03-05T05:27:00-07:00",
-          "2010-03-05T05:28:00-07:00",
-          "2010-03-05T05:29:00-07:00",
-          "2010-03-05T05:30:00-07:00",
-          "2010-03-05T05:31:00-07:00",
-          "2010-03-05T05:32:00-07:00",
-          "2010-03-05T05:33:00-07:00",
-          "2010-03-05T05:34:00-07:00",
-          "2010-03-05T05:35:00-07:00",
-          "2010-03-05T05:36:00-07:00",
-          "2010-03-05T05:37:00-07:00",
-          "2010-03-05T05:38:00-07:00",
-          "2010-03-05T05:39:00-07:00",
-          "2010-03-05T05:40:00-07:00",
-          "2010-03-05T05:41:00-07:00",
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-          "2010-03-05T05:52:00-07:00",
-          "2010-03-05T05:53:00-07:00",
-          "2010-03-05T05:54:00-07:00",
-          "2010-03-05T05:55:00-07:00",
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-          "2010-03-05T05:57:00-07:00",
-          "2010-03-05T05:58:00-07:00",
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-          "2010-03-05T06:22:00-07:00",
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-          "2010-03-05T06:24:00-07:00",
-          "2010-03-05T06:25:00-07:00",
-          "2010-03-05T06:26:00-07:00",
-          "2010-03-05T06:27:00-07:00",
-          "2010-03-05T06:28:00-07:00",
-          "2010-03-05T06:29:00-07:00",
-          "2010-03-05T06:30:00-07:00",
-          "2010-03-05T06:31:00-07:00",
-          "2010-03-05T06:32:00-07:00",
-          "2010-03-05T06:33:00-07:00",
-          "2010-03-05T06:34:00-07:00",
-          "2010-03-05T06:35:00-07:00",
-          "2010-03-05T06:36:00-07:00",
-          "2010-03-05T06:37:00-07:00",
-          "2010-03-05T06:38:00-07:00",
-          "2010-03-05T06:39:00-07:00",
-          "2010-03-05T06:40:00-07:00",
-          "2010-03-05T06:41:00-07:00",
-          "2010-03-05T06:42:00-07:00",
-          "2010-03-05T06:43:00-07:00",
-          "2010-03-05T06:44:00-07:00",
-          "2010-03-05T06:45:00-07:00",
-          "2010-03-05T06:46:00-07:00",
-          "2010-03-05T06:47:00-07:00",
-          "2010-03-05T06:48:00-07:00",
-          "2010-03-05T06:49:00-07:00",
-          "2010-03-05T06:50:00-07:00",
-          "2010-03-05T06:52:00-07:00",
-          "2010-03-05T06:53:00-07:00",
-          "2010-03-05T09:52:00-07:00",
-          "2010-03-05T09:54:00-07:00",
-          "2010-03-05T09:58:00-07:00",
-          "2010-03-05T10:01:00-07:00",
-          "2010-03-05T10:04:00-07:00",
-          "2010-03-05T10:05:00-07:00",
-          "2010-03-05T10:06:00-07:00",
-          "2010-03-05T10:36:00-07:00",
-          "2010-03-05T12:58:00-07:00",
-          "2010-03-05T12:59:00-07:00",
-          "2010-03-05T13:04:00-07:00",
-          "2010-03-05T13:07:00-07:00",
-          "2010-03-05T13:08:00-07:00",
-          "2010-03-05T13:10:00-07:00",
-          "2010-03-05T13:12:00-07:00",
-          "2010-03-05T13:19:00-07:00",
-          "2010-03-05T13:22:00-07:00",
-          "2010-03-05T13:23:00-07:00",
-          "2010-03-05T13:25:00-07:00",
-          "2010-03-05T13:26:00-07:00",
-          "2010-03-05T13:27:00-07:00",
-          "2010-03-05T13:30:00-07:00",
-          "2010-03-05T13:31:00-07:00",
-          "2010-03-05T13:32:00-07:00",
-          "2010-03-05T13:34:00-07:00",
-          "2010-03-05T13:35:00-07:00",
-          "2010-03-05T13:38:00-07:00",
-          "2010-03-05T14:28:00-07:00",
-          "2010-03-05T14:30:00-07:00",
-          "2010-03-05T14:32:00-07:00",
-          "2010-03-05T14:34:00-07:00",
-          "2010-03-05T14:40:00-07:00",
-          "2010-03-05T17:49:00-07:00",
-          "2010-03-05T17:50:00-07:00",
-          "2010-03-05T17:51:00-07:00",
-          "2010-03-05T17:52:00-07:00",
-          "2010-03-05T17:53:00-07:00",
-          "2010-03-05T17:54:00-07:00",
-          "2010-03-05T17:55:00-07:00",
-          "2010-03-05T17:56:00-07:00",
-          "2010-03-05T17:57:00-07:00",
-          "2010-03-05T17:58:00-07:00",
-          "2010-03-05T17:59:00-07:00",
-          "2010-03-05T18:00:00-07:00",
-          "2010-03-05T18:01:00-07:00",
-          "2010-03-05T18:02:00-07:00",
-          "2010-03-05T18:03:00-07:00",
-          "2010-03-05T18:04:00-07:00",
-          "2010-03-05T18:05:00-07:00",
-          "2010-03-05T18:06:00-07:00",
-          "2010-03-05T18:07:00-07:00",
-          "2010-03-05T18:08:00-07:00",
-          "2010-03-05T18:09:00-07:00",
-          "2010-03-05T18:10:00-07:00",
-          "2010-03-05T18:11:00-07:00",
-          "2010-03-05T18:12:00-07:00",
-          "2010-03-05T18:13:00-07:00",
-          "2010-03-05T18:14:00-07:00",
-          "2010-03-05T18:15:00-07:00",
-          "2010-03-05T18:16:00-07:00",
-          "2010-03-05T18:17:00-07:00",
-          "2010-03-05T18:18:00-07:00",
-          "2010-03-05T18:19:00-07:00",
-          "2010-03-05T18:20:00-07:00",
-          "2010-03-05T18:21:00-07:00",
-          "2010-03-05T18:22:00-07:00",
-          "2010-03-05T18:23:00-07:00",
-          "2010-03-05T18:24:00-07:00",
-          "2010-03-05T18:25:00-07:00",
-          "2010-03-05T18:26:00-07:00",
-          "2010-03-05T18:27:00-07:00",
-          "2010-03-05T18:28:00-07:00",
-          "2010-03-05T18:29:00-07:00",
-          "2010-03-05T18:30:00-07:00",
-          "2010-03-05T18:31:00-07:00",
-          "2010-03-05T18:32:00-07:00",
-          "2010-03-05T18:33:00-07:00",
-          "2010-03-05T18:34:00-07:00",
-          "2010-03-05T18:35:00-07:00",
-          "2010-03-05T18:36:00-07:00",
-          "2010-03-05T18:37:00-07:00",
-          "2010-03-05T18:38:00-07:00",
-          "2010-03-05T18:39:00-07:00",
-          "2010-03-05T18:40:00-07:00",
-          "2010-03-05T18:41:00-07:00",
-          "2010-03-05T18:42:00-07:00",
-          "2010-03-05T18:43:00-07:00",
-          "2010-03-05T18:44:00-07:00",
-          "2010-03-05T18:45:00-07:00",
-          "2010-03-05T18:46:00-07:00",
-          "2010-03-05T18:47:00-07:00",
-          "2010-03-05T18:48:00-07:00",
-          "2010-03-05T18:49:00-07:00",
-          "2010-03-05T18:50:00-07:00",
-          "2010-03-05T18:51:00-07:00",
-          "2010-03-05T18:52:00-07:00",
-          "2010-03-05T18:53:00-07:00",
-          "2010-03-05T18:54:00-07:00",
-          "2010-03-05T18:55:00-07:00",
-          "2010-03-05T18:56:00-07:00",
-          "2010-03-05T18:57:00-07:00",
-          "2010-03-05T18:58:00-07:00",
-          "2010-03-05T18:59:00-07:00",
-          "2010-03-05T19:00:00-07:00",
-          "2010-03-05T19:01:00-07:00",
-          "2010-03-05T19:02:00-07:00",
-          "2010-03-05T19:03:00-07:00",
-          "2010-03-05T19:04:00-07:00",
-          "2010-03-05T19:05:00-07:00",
-          "2010-03-05T19:06:00-07:00",
-          "2010-03-05T19:07:00-07:00",
-          "2010-03-05T19:08:00-07:00",
-          "2010-03-05T19:09:00-07:00",
-          "2010-03-05T19:10:00-07:00",
-          "2010-03-05T19:11:00-07:00",
-          "2010-03-05T19:12:00-07:00",
-          "2010-03-05T19:13:00-07:00",
-          "2010-03-05T19:14:00-07:00",
-          "2010-03-05T19:15:00-07:00",
-          "2010-03-05T19:16:00-07:00",
-          "2010-03-05T19:17:00-07:00",
-          "2010-03-05T19:18:00-07:00",
-          "2010-03-05T19:19:00-07:00",
-          "2010-03-05T19:20:00-07:00",
-          "2010-03-05T19:21:00-07:00",
-          "2010-03-05T19:22:00-07:00",
-          "2010-03-05T19:23:00-07:00",
-          "2010-03-05T19:24:00-07:00",
-          "2010-03-05T19:25:00-07:00",
-          "2010-03-05T19:26:00-07:00",
-          "2010-03-05T19:27:00-07:00",
-          "2010-03-05T19:28:00-07:00",
-          "2010-03-05T19:29:00-07:00",
-          "2010-03-05T19:30:00-07:00",
-          "2010-03-05T19:31:00-07:00",
-          "2010-03-05T19:32:00-07:00",
-          "2010-03-05T19:33:00-07:00",
-          "2010-03-05T19:34:00-07:00",
-          "2010-03-05T19:35:00-07:00",
-          "2010-03-05T19:36:00-07:00",
-          "2010-03-05T19:37:00-07:00",
-          "2010-03-05T19:38:00-07:00",
-          "2010-03-05T19:39:00-07:00",
-          "2010-03-05T19:40:00-07:00",
-          "2010-03-05T19:41:00-07:00",
-          "2010-03-05T19:42:00-07:00",
-          "2010-03-05T19:43:00-07:00",
-          "2010-03-05T19:44:00-07:00",
-          "2010-03-05T19:45:00-07:00",
-          "2010-03-05T19:46:00-07:00",
-          "2010-03-05T19:47:00-07:00",
-          "2010-03-05T19:48:00-07:00",
-          "2010-03-05T19:49:00-07:00",
-          "2010-03-05T19:50:00-07:00",
-          "2010-03-05T19:51:00-07:00",
-          "2010-03-05T19:52:00-07:00",
-          "2010-03-05T19:53:00-07:00",
-          "2010-03-05T19:54:00-07:00",
-          "2010-03-05T19:55:00-07:00",
-          "2010-03-05T19:56:00-07:00",
-          "2010-03-05T19:57:00-07:00",
-          "2010-03-05T19:58:00-07:00",
-          "2010-03-05T19:59:00-07:00",
-          "2010-03-05T20:00:00-07:00",
-          "2010-03-05T20:01:00-07:00",
-          "2010-03-05T20:02:00-07:00",
-          "2010-03-05T20:03:00-07:00",
-          "2010-03-05T20:04:00-07:00",
-          "2010-03-05T20:05:00-07:00",
-          "2010-03-05T20:06:00-07:00",
-          "2010-03-05T20:07:00-07:00",
-          "2010-03-05T20:08:00-07:00",
-          "2010-03-05T20:09:00-07:00",
-          "2010-03-05T20:10:00-07:00",
-          "2010-03-05T20:11:00-07:00",
-          "2010-03-05T20:12:00-07:00",
-          "2010-03-05T20:13:00-07:00",
-          "2010-03-05T20:14:00-07:00",
-          "2010-03-05T20:15:00-07:00",
-          "2010-03-05T20:16:00-07:00",
-          "2010-03-05T20:17:00-07:00",
-          "2010-03-05T20:18:00-07:00",
-          "2010-03-05T20:19:00-07:00",
-          "2010-03-05T20:20:00-07:00",
-          "2010-03-05T20:21:00-07:00",
-          "2010-03-05T20:22:00-07:00",
-          "2010-03-05T20:23:00-07:00",
-          "2010-03-05T20:24:00-07:00",
-          "2010-03-05T20:25:00-07:00",
-          "2010-03-05T20:26:00-07:00",
-          "2010-03-05T20:27:00-07:00",
-          "2010-03-05T20:28:00-07:00",
-          "2010-03-05T20:29:00-07:00",
-          "2010-03-05T20:30:00-07:00",
-          "2010-03-05T20:31:00-07:00",
-          "2010-03-05T20:32:00-07:00",
-          "2010-03-05T20:33:00-07:00",
-          "2010-03-05T20:34:00-07:00",
-          "2010-03-05T20:35:00-07:00",
-          "2010-03-05T20:36:00-07:00",
-          "2010-03-05T20:37:00-07:00",
-          "2010-03-05T20:38:00-07:00",
-          "2010-03-05T20:39:00-07:00",
-          "2010-03-05T20:40:00-07:00",
-          "2010-03-05T20:41:00-07:00",
-          "2010-03-05T20:42:00-07:00",
-          "2010-03-05T20:43:00-07:00",
-          "2010-03-05T20:44:00-07:00",
-          "2010-03-05T20:45:00-07:00",
-          "2010-03-05T20:46:00-07:00",
-          "2010-03-05T20:47:00-07:00",
-          "2010-03-05T20:48:00-07:00",
-          "2010-03-05T20:49:00-07:00",
-          "2010-03-05T20:50:00-07:00",
-          "2010-03-05T20:51:00-07:00",
-          "2010-03-05T20:52:00-07:00",
-          "2010-03-05T20:53:00-07:00",
-          "2010-03-05T20:54:00-07:00",
-          "2010-03-05T20:55:00-07:00",
-          "2010-03-05T20:56:00-07:00",
-          "2010-03-05T20:57:00-07:00",
-          "2010-03-05T20:58:00-07:00",
-          "2010-03-05T20:59:00-07:00",
-          "2010-03-05T21:00:00-07:00",
-          "2010-03-05T21:01:00-07:00",
-          "2010-03-05T21:02:00-07:00",
-          "2010-03-05T21:03:00-07:00",
-          "2010-03-05T21:04:00-07:00",
-          "2010-03-05T21:05:00-07:00",
-          "2010-03-05T21:06:00-07:00",
-          "2010-03-05T21:07:00-07:00",
-          "2010-03-05T21:08:00-07:00",
-          "2010-03-05T21:09:00-07:00",
-          "2010-03-05T21:10:00-07:00",
-          "2010-03-05T21:11:00-07:00",
-          "2010-03-05T21:12:00-07:00",
-          "2010-03-05T21:13:00-07:00",
-          "2010-03-05T21:14:00-07:00",
-          "2010-03-05T21:15:00-07:00",
-          "2010-03-05T21:16:00-07:00",
-          "2010-03-05T21:17:00-07:00",
-          "2010-03-05T21:18:00-07:00",
-          "2010-03-05T21:19:00-07:00",
-          "2010-03-05T21:20:00-07:00",
-          "2010-03-05T21:21:00-07:00",
-          "2010-03-05T21:22:00-07:00",
-          "2010-03-05T21:23:00-07:00",
-          "2010-03-05T21:24:00-07:00",
-          "2010-03-05T21:25:00-07:00",
-          "2010-03-05T21:26:00-07:00",
-          "2010-03-05T21:27:00-07:00",
-          "2010-03-05T21:28:00-07:00",
-          "2010-03-05T21:29:00-07:00",
-          "2010-03-05T21:30:00-07:00",
-          "2010-03-05T21:31:00-07:00",
-          "2010-03-05T21:32:00-07:00",
-          "2010-03-05T21:33:00-07:00",
-          "2010-03-05T21:34:00-07:00",
-          "2010-03-05T21:35:00-07:00",
-          "2010-03-05T21:36:00-07:00",
-          "2010-03-05T21:37:00-07:00",
-          "2010-03-05T21:38:00-07:00",
-          "2010-03-05T21:39:00-07:00",
-          "2010-03-05T21:40:00-07:00",
-          "2010-03-05T21:41:00-07:00",
-          "2010-03-05T21:42:00-07:00",
-          "2010-03-05T21:43:00-07:00",
-          "2010-03-05T21:44:00-07:00",
-          "2010-03-05T21:45:00-07:00",
-          "2010-03-05T21:46:00-07:00",
-          "2010-03-05T21:47:00-07:00",
-          "2010-03-05T21:48:00-07:00",
-          "2010-03-05T21:49:00-07:00",
-          "2010-03-05T21:50:00-07:00",
-          "2010-03-05T21:51:00-07:00",
-          "2010-03-05T21:52:00-07:00",
-          "2010-03-05T21:53:00-07:00",
-          "2010-03-05T21:54:00-07:00",
-          "2010-03-05T21:55:00-07:00",
-          "2010-03-05T21:56:00-07:00",
-          "2010-03-05T21:57:00-07:00",
-          "2010-03-05T21:58:00-07:00",
-          "2010-03-05T21:59:00-07:00",
-          "2010-03-05T22:00:00-07:00",
-          "2010-03-05T22:01:00-07:00",
-          "2010-03-05T22:02:00-07:00",
-          "2010-03-05T22:03:00-07:00",
-          "2010-03-05T22:04:00-07:00",
-          "2010-03-05T22:05:00-07:00",
-          "2010-03-05T22:06:00-07:00",
-          "2010-03-05T22:07:00-07:00",
-          "2010-03-05T22:08:00-07:00",
-          "2010-03-05T22:09:00-07:00",
-          "2010-03-05T22:10:00-07:00",
-          "2010-03-05T22:11:00-07:00",
-          "2010-03-05T22:12:00-07:00",
-          "2010-03-05T22:13:00-07:00",
-          "2010-03-05T22:14:00-07:00",
-          "2010-03-05T22:15:00-07:00",
-          "2010-03-05T22:16:00-07:00",
-          "2010-03-05T22:17:00-07:00",
-          "2010-03-05T22:18:00-07:00",
-          "2010-03-05T22:19:00-07:00",
-          "2010-03-05T22:20:00-07:00",
-          "2010-03-05T22:21:00-07:00",
-          "2010-03-05T22:22:00-07:00",
-          "2010-03-05T22:23:00-07:00",
-          "2010-03-05T22:24:00-07:00",
-          "2010-03-05T22:25:00-07:00",
-          "2010-03-05T22:26:00-07:00",
-          "2010-03-05T22:27:00-07:00",
-          "2010-03-05T22:28:00-07:00",
-          "2010-03-05T22:29:00-07:00",
-          "2010-03-05T22:30:00-07:00",
-          "2010-03-05T22:31:00-07:00",
-          "2010-03-05T22:32:00-07:00",
-          "2010-03-05T22:33:00-07:00",
-          "2010-03-05T22:34:00-07:00",
-          "2010-03-05T22:35:00-07:00",
-          "2010-03-05T22:36:00-07:00",
-          "2010-03-05T22:37:00-07:00",
-          "2010-03-05T22:38:00-07:00",
-          "2010-03-05T22:39:00-07:00",
-          "2010-03-05T22:40:00-07:00",
-          "2010-03-05T22:41:00-07:00",
-          "2010-03-05T22:42:00-07:00",
-          "2010-03-05T22:43:00-07:00",
-          "2010-03-05T22:44:00-07:00",
-          "2010-03-05T22:45:00-07:00",
-          "2010-03-05T22:46:00-07:00",
-          "2010-03-05T22:47:00-07:00",
-          "2010-03-05T22:48:00-07:00",
-          "2010-03-05T22:49:00-07:00",
-          "2010-03-05T22:50:00-07:00",
-          "2010-03-05T22:51:00-07:00",
-          "2010-03-05T22:52:00-07:00",
-          "2010-03-05T22:53:00-07:00",
-          "2010-03-05T22:54:00-07:00",
-          "2010-03-05T22:55:00-07:00",
-          "2010-03-05T22:56:00-07:00",
-          "2010-03-05T22:57:00-07:00",
-          "2010-03-05T22:58:00-07:00",
-          "2010-03-05T22:59:00-07:00",
-          "2010-03-05T23:00:00-07:00",
-          "2010-03-05T23:01:00-07:00",
-          "2010-03-05T23:02:00-07:00",
-          "2010-03-05T23:03:00-07:00",
-          "2010-03-05T23:04:00-07:00",
-          "2010-03-05T23:05:00-07:00",
-          "2010-03-05T23:06:00-07:00",
-          "2010-03-05T23:07:00-07:00",
-          "2010-03-05T23:08:00-07:00",
-          "2010-03-05T23:09:00-07:00",
-          "2010-03-05T23:10:00-07:00",
-          "2010-03-05T23:11:00-07:00",
-          "2010-03-05T23:12:00-07:00",
-          "2010-03-05T23:13:00-07:00",
-          "2010-03-05T23:14:00-07:00",
-          "2010-03-05T23:15:00-07:00",
-          "2010-03-05T23:16:00-07:00",
-          "2010-03-05T23:17:00-07:00",
-          "2010-03-05T23:18:00-07:00",
-          "2010-03-05T23:19:00-07:00",
-          "2010-03-05T23:20:00-07:00",
-          "2010-03-05T23:21:00-07:00",
-          "2010-03-05T23:22:00-07:00",
-          "2010-03-05T23:23:00-07:00",
-          "2010-03-05T23:24:00-07:00",
-          "2010-03-05T23:25:00-07:00",
-          "2010-03-05T23:26:00-07:00",
-          "2010-03-05T23:27:00-07:00",
-          "2010-03-05T23:28:00-07:00",
-          "2010-03-05T23:29:00-07:00",
-          "2010-03-05T23:30:00-07:00",
-          "2010-03-05T23:31:00-07:00",
-          "2010-03-05T23:32:00-07:00",
-          "2010-03-05T23:33:00-07:00",
-          "2010-03-05T23:34:00-07:00",
-          "2010-03-05T23:35:00-07:00",
-          "2010-03-05T23:36:00-07:00",
-          "2010-03-05T23:37:00-07:00",
-          "2010-03-05T23:38:00-07:00",
-          "2010-03-05T23:39:00-07:00",
-          "2010-03-05T23:40:00-07:00",
-          "2010-03-05T23:41:00-07:00",
-          "2010-03-05T23:42:00-07:00",
-          "2010-03-05T23:43:00-07:00",
-          "2010-03-05T23:44:00-07:00",
-          "2010-03-05T23:45:00-07:00",
-          "2010-03-05T23:46:00-07:00",
-          "2010-03-05T23:47:00-07:00",
-          "2010-03-05T23:48:00-07:00",
-          "2010-03-05T23:49:00-07:00",
-          "2010-03-05T23:50:00-07:00",
-          "2010-03-05T23:51:00-07:00",
-          "2010-03-05T23:52:00-07:00",
-          "2010-03-05T23:53:00-07:00",
-          "2010-03-05T23:54:00-07:00",
-          "2010-03-05T23:55:00-07:00",
-          "2010-03-05T23:56:00-07:00",
-          "2010-03-05T23:57:00-07:00",
-          "2010-03-05T23:58:00-07:00",
-          "2010-03-05T23:59:00-07:00",
-          "2010-03-06T00:00:00-07:00",
-          "2010-03-06T00:01:00-07:00",
-          "2010-03-06T00:02:00-07:00",
-          "2010-03-06T00:03:00-07:00",
-          "2010-03-06T00:04:00-07:00",
-          "2010-03-06T00:05:00-07:00",
-          "2010-03-06T00:06:00-07:00",
-          "2010-03-06T00:07:00-07:00",
-          "2010-03-06T00:08:00-07:00",
-          "2010-03-06T00:09:00-07:00",
-          "2010-03-06T00:10:00-07:00",
-          "2010-03-06T00:11:00-07:00",
-          "2010-03-06T00:12:00-07:00",
-          "2010-03-06T00:13:00-07:00",
-          "2010-03-06T00:14:00-07:00",
-          "2010-03-06T00:15:00-07:00",
-          "2010-03-06T00:16:00-07:00",
-          "2010-03-06T00:17:00-07:00",
-          "2010-03-06T00:18:00-07:00",
-          "2010-03-06T00:19:00-07:00",
-          "2010-03-06T00:20:00-07:00",
-          "2010-03-06T00:21:00-07:00",
-          "2010-03-06T00:22:00-07:00",
-          "2010-03-06T00:23:00-07:00",
-          "2010-03-06T00:24:00-07:00",
-          "2010-03-06T00:25:00-07:00",
-          "2010-03-06T00:26:00-07:00",
-          "2010-03-06T00:27:00-07:00",
-          "2010-03-06T00:28:00-07:00",
-          "2010-03-06T00:29:00-07:00",
-          "2010-03-06T00:30:00-07:00",
-          "2010-03-06T00:31:00-07:00",
-          "2010-03-06T00:32:00-07:00",
-          "2010-03-06T00:33:00-07:00",
-          "2010-03-06T00:34:00-07:00",
-          "2010-03-06T00:35:00-07:00",
-          "2010-03-06T00:36:00-07:00",
-          "2010-03-06T00:37:00-07:00",
-          "2010-03-06T00:38:00-07:00",
-          "2010-03-06T00:39:00-07:00",
-          "2010-03-06T00:40:00-07:00",
-          "2010-03-06T00:41:00-07:00",
-          "2010-03-06T00:42:00-07:00",
-          "2010-03-06T00:43:00-07:00",
-          "2010-03-06T00:44:00-07:00",
-          "2010-03-06T00:45:00-07:00",
-          "2010-03-06T00:46:00-07:00",
-          "2010-03-06T00:47:00-07:00",
-          "2010-03-06T00:48:00-07:00",
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-          "2010-03-06T00:50:00-07:00",
-          "2010-03-06T00:51:00-07:00",
-          "2010-03-06T00:52:00-07:00",
-          "2010-03-06T00:53:00-07:00",
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-          "2010-03-06T00:58:00-07:00",
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-          "2010-03-06T01:04:00-07:00",
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-          "2010-03-06T01:09:00-07:00",
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-          "2010-03-06T01:12:00-07:00",
-          "2010-03-06T01:13:00-07:00",
-          "2010-03-06T01:14:00-07:00",
-          "2010-03-06T01:15:00-07:00",
-          "2010-03-06T01:16:00-07:00",
-          "2010-03-06T01:17:00-07:00",
-          "2010-03-06T01:18:00-07:00",
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-          "2010-03-06T01:20:00-07:00",
-          "2010-03-06T01:21:00-07:00",
-          "2010-03-06T01:22:00-07:00",
-          "2010-03-06T01:23:00-07:00",
-          "2010-03-06T01:24:00-07:00",
-          "2010-03-06T01:25:00-07:00",
-          "2010-03-06T01:26:00-07:00",
-          "2010-03-06T01:27:00-07:00",
-          "2010-03-06T01:28:00-07:00",
-          "2010-03-06T01:29:00-07:00",
-          "2010-03-06T01:30:00-07:00",
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-          "2010-03-06T01:35:00-07:00",
-          "2010-03-06T01:36:00-07:00",
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-          "2010-03-06T01:38:00-07:00",
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-          "2010-03-06T10:27:00-07:00",
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-          "2010-03-06T10:29:00-07:00",
-          "2010-03-06T10:30:00-07:00",
-          "2010-03-06T10:31:00-07:00",
-          "2010-03-06T10:32:00-07:00",
-          "2010-03-06T10:33:00-07:00",
-          "2010-03-06T10:34:00-07:00",
-          "2010-03-06T10:35:00-07:00",
-          "2010-03-06T10:36:00-07:00",
-          "2010-03-06T10:37:00-07:00",
-          "2010-03-06T10:38:00-07:00",
-          "2010-03-06T10:39:00-07:00",
-          "2010-03-06T10:40:00-07:00",
-          "2010-03-06T10:41:00-07:00",
-          "2010-03-06T10:42:00-07:00",
-          "2010-03-06T10:43:00-07:00",
-          "2010-03-06T10:44:00-07:00",
-          "2010-03-06T10:45:00-07:00",
-          "2010-03-06T10:46:00-07:00",
-          "2010-03-06T10:47:00-07:00",
-          "2010-03-06T10:48:00-07:00",
-          "2010-03-06T10:49:00-07:00",
-          "2010-03-06T10:50:00-07:00",
-          "2010-03-06T10:51:00-07:00",
-          "2010-03-06T10:52:00-07:00",
-          "2010-03-06T10:53:00-07:00",
-          "2010-03-06T10:54:00-07:00",
-          "2010-03-06T10:55:00-07:00",
-          "2010-03-06T10:56:00-07:00",
-          "2010-03-06T10:57:00-07:00",
-          "2010-03-06T10:58:00-07:00",
-          "2010-03-06T10:59:00-07:00",
-          "2010-03-06T11:00:00-07:00",
-          "2010-03-06T11:01:00-07:00",
-          "2010-03-06T11:02:00-07:00",
-          "2010-03-06T11:03:00-07:00",
-          "2010-03-06T11:04:00-07:00",
-          "2010-03-06T11:05:00-07:00",
-          "2010-03-06T11:06:00-07:00",
-          "2010-03-06T11:07:00-07:00",
-          "2010-03-06T11:08:00-07:00",
-          "2010-03-06T11:09:00-07:00",
-          "2010-03-06T11:10:00-07:00",
-          "2010-03-06T11:11:00-07:00",
-          "2010-03-06T11:12:00-07:00",
-          "2010-03-06T11:13:00-07:00",
-          "2010-03-06T11:14:00-07:00",
-          "2010-03-06T11:15:00-07:00",
-          "2010-03-06T11:16:00-07:00",
-          "2010-03-06T11:17:00-07:00",
-          "2010-03-06T11:18:00-07:00",
-          "2010-03-06T11:19:00-07:00",
-          "2010-03-06T11:20:00-07:00",
-          "2010-03-06T11:21:00-07:00",
-          "2010-03-06T11:22:00-07:00",
-          "2010-03-06T11:23:00-07:00",
-          "2010-03-06T11:24:00-07:00",
-          "2010-03-06T11:25:00-07:00",
-          "2010-03-06T11:26:00-07:00",
-          "2010-03-06T11:27:00-07:00",
-          "2010-03-06T11:28:00-07:00",
-          "2010-03-06T11:29:00-07:00",
-          "2010-03-06T11:30:00-07:00",
-          "2010-03-06T11:31:00-07:00",
-          "2010-03-06T11:32:00-07:00",
-          "2010-03-06T11:33:00-07:00",
-          "2010-03-06T11:34:00-07:00",
-          "2010-03-06T11:35:00-07:00",
-          "2010-03-06T11:36:00-07:00",
-          "2010-03-06T11:37:00-07:00",
-          "2010-03-06T11:38:00-07:00",
-          "2010-03-06T11:39:00-07:00",
-          "2010-03-06T11:40:00-07:00",
-          "2010-03-06T11:41:00-07:00",
-          "2010-03-06T11:42:00-07:00",
-          "2010-03-06T11:43:00-07:00",
-          "2010-03-06T11:44:00-07:00",
-          "2010-03-06T11:45:00-07:00",
-          "2010-03-06T11:46:00-07:00",
-          "2010-03-06T11:47:00-07:00",
-          "2010-03-06T11:48:00-07:00",
-          "2010-03-06T11:49:00-07:00",
-          "2010-03-06T11:50:00-07:00",
-          "2010-03-06T11:51:00-07:00",
-          "2010-03-06T11:52:00-07:00",
-          "2010-03-06T11:53:00-07:00",
-          "2010-03-06T11:54:00-07:00",
-          "2010-03-06T11:55:00-07:00",
-          "2010-03-06T11:56:00-07:00",
-          "2010-03-06T11:57:00-07:00",
-          "2010-03-06T11:58:00-07:00",
-          "2010-03-06T11:59:00-07:00",
-          "2010-03-06T12:00:00-07:00",
-          "2010-03-06T12:01:00-07:00",
-          "2010-03-06T12:02:00-07:00",
-          "2010-03-06T12:03:00-07:00",
-          "2010-03-06T12:04:00-07:00",
-          "2010-03-06T12:05:00-07:00",
-          "2010-03-06T12:06:00-07:00",
-          "2010-03-06T12:07:00-07:00",
-          "2010-03-06T12:08:00-07:00",
-          "2010-03-06T12:09:00-07:00",
-          "2010-03-06T12:10:00-07:00",
-          "2010-03-06T12:11:00-07:00",
-          "2010-03-06T12:12:00-07:00",
-          "2010-03-06T12:13:00-07:00",
-          "2010-03-06T12:14:00-07:00",
-          "2010-03-06T12:15:00-07:00",
-          "2010-03-06T12:16:00-07:00",
-          "2010-03-06T12:17:00-07:00",
-          "2010-03-06T12:18:00-07:00",
-          "2010-03-06T12:19:00-07:00",
-          "2010-03-06T12:20:00-07:00",
-          "2010-03-06T12:21:00-07:00",
-          "2010-03-06T12:22:00-07:00",
-          "2010-03-06T12:23:00-07:00",
-          "2010-03-06T12:24:00-07:00",
-          "2010-03-06T12:25:00-07:00",
-          "2010-03-06T12:26:00-07:00",
-          "2010-03-06T12:27:00-07:00",
-          "2010-03-06T12:28:00-07:00",
-          "2010-03-06T12:29:00-07:00",
-          "2010-03-06T12:30:00-07:00",
-          "2010-03-06T12:31:00-07:00",
-          "2010-03-06T12:32:00-07:00",
-          "2010-03-06T12:33:00-07:00",
-          "2010-03-06T12:34:00-07:00",
-          "2010-03-06T12:35:00-07:00",
-          "2010-03-06T12:36:00-07:00",
-          "2010-03-06T12:37:00-07:00",
-          "2010-03-06T12:38:00-07:00",
-          "2010-03-06T12:39:00-07:00",
-          "2010-03-06T12:40:00-07:00",
-          "2010-03-06T12:41:00-07:00",
-          "2010-03-06T12:42:00-07:00",
-          "2010-03-06T12:43:00-07:00",
-          "2010-03-06T12:44:00-07:00",
-          "2010-03-06T12:45:00-07:00",
-          "2010-03-06T12:46:00-07:00",
-          "2010-03-06T12:47:00-07:00",
-          "2010-03-06T12:48:00-07:00",
-          "2010-03-06T12:49:00-07:00",
-          "2010-03-06T12:50:00-07:00",
-          "2010-03-06T12:51:00-07:00",
-          "2010-03-06T12:52:00-07:00",
-          "2010-03-06T12:53:00-07:00",
-          "2010-03-06T12:54:00-07:00",
-          "2010-03-06T12:55:00-07:00",
-          "2010-03-06T12:56:00-07:00",
-          "2010-03-06T12:57:00-07:00",
-          "2010-03-06T12:58:00-07:00",
-          "2010-03-06T12:59:00-07:00",
-          "2010-03-06T13:00:00-07:00",
-          "2010-03-06T13:01:00-07:00",
-          "2010-03-06T13:02:00-07:00",
-          "2010-03-06T13:03:00-07:00",
-          "2010-03-06T13:04:00-07:00",
-          "2010-03-06T13:05:00-07:00",
-          "2010-03-06T13:06:00-07:00",
-          "2010-03-06T13:07:00-07:00",
-          "2010-03-06T13:08:00-07:00",
-          "2010-03-06T13:09:00-07:00",
-          "2010-03-06T13:10:00-07:00",
-          "2010-03-06T13:11:00-07:00",
-          "2010-03-06T13:12:00-07:00",
-          "2010-03-06T13:13:00-07:00",
-          "2010-03-06T13:14:00-07:00",
-          "2010-03-06T13:15:00-07:00",
-          "2010-03-06T13:16:00-07:00",
-          "2010-03-06T13:17:00-07:00",
-          "2010-03-06T13:18:00-07:00",
-          "2010-03-06T13:19:00-07:00",
-          "2010-03-06T13:20:00-07:00",
-          "2010-03-06T13:21:00-07:00",
-          "2010-03-06T13:22:00-07:00",
-          "2010-03-06T13:23:00-07:00",
-          "2010-03-06T13:24:00-07:00",
-          "2010-03-06T13:25:00-07:00",
-          "2010-03-06T13:26:00-07:00",
-          "2010-03-06T13:27:00-07:00",
-          "2010-03-06T13:28:00-07:00",
-          "2010-03-06T13:29:00-07:00",
-          "2010-03-06T13:30:00-07:00",
-          "2010-03-06T17:44:00-07:00",
-          "2010-03-06T17:45:00-07:00",
-          "2010-03-06T17:46:00-07:00",
-          "2010-03-06T17:47:00-07:00",
-          "2010-03-06T17:48:00-07:00",
-          "2010-03-06T17:49:00-07:00",
-          "2010-03-06T17:50:00-07:00",
-          "2010-03-06T17:51:00-07:00",
-          "2010-03-06T17:52:00-07:00",
-          "2010-03-06T17:53:00-07:00",
-          "2010-03-06T17:54:00-07:00",
-          "2010-03-06T17:55:00-07:00",
-          "2010-03-06T17:56:00-07:00",
-          "2010-03-06T17:57:00-07:00",
-          "2010-03-06T17:58:00-07:00",
-          "2010-03-06T17:59:00-07:00",
-          "2010-03-06T18:00:00-07:00",
-          "2010-03-06T18:01:00-07:00",
-          "2010-03-06T18:02:00-07:00",
-          "2010-03-06T18:03:00-07:00",
-          "2010-03-06T18:04:00-07:00",
-          "2010-03-06T18:05:00-07:00",
-          "2010-03-06T18:06:00-07:00",
-          "2010-03-06T18:07:00-07:00",
-          "2010-03-06T18:08:00-07:00",
-          "2010-03-06T18:09:00-07:00",
-          "2010-03-06T18:10:00-07:00",
-          "2010-03-06T18:11:00-07:00",
-          "2010-03-06T18:12:00-07:00",
-          "2010-03-06T18:13:00-07:00",
-          "2010-03-06T18:14:00-07:00",
-          "2010-03-06T18:15:00-07:00",
-          "2010-03-06T18:16:00-07:00",
-          "2010-03-06T18:17:00-07:00",
-          "2010-03-06T18:18:00-07:00",
-          "2010-03-06T18:19:00-07:00",
-          "2010-03-06T18:20:00-07:00",
-          "2010-03-06T18:21:00-07:00",
-          "2010-03-06T18:22:00-07:00",
-          "2010-03-06T18:23:00-07:00",
-          "2010-03-06T18:24:00-07:00",
-          "2010-03-06T18:25:00-07:00",
-          "2010-03-06T18:26:00-07:00",
-          "2010-03-06T18:27:00-07:00",
-          "2010-03-06T18:28:00-07:00",
-          "2010-03-06T18:29:00-07:00",
-          "2010-03-06T18:30:00-07:00",
-          "2010-03-06T18:31:00-07:00",
-          "2010-03-06T18:32:00-07:00",
-          "2010-03-06T18:33:00-07:00",
-          "2010-03-06T18:34:00-07:00",
-          "2010-03-06T18:35:00-07:00",
-          "2010-03-06T18:36:00-07:00",
-          "2010-03-06T18:37:00-07:00",
-          "2010-03-06T18:38:00-07:00",
-          "2010-03-06T18:39:00-07:00",
-          "2010-03-06T18:40:00-07:00",
-          "2010-03-06T18:41:00-07:00",
-          "2010-03-06T18:42:00-07:00",
-          "2010-03-06T18:43:00-07:00",
-          "2010-03-06T18:44:00-07:00",
-          "2010-03-06T18:45:00-07:00",
-          "2010-03-06T18:46:00-07:00",
-          "2010-03-06T18:47:00-07:00",
-          "2010-03-06T18:48:00-07:00",
-          "2010-03-06T18:49:00-07:00",
-          "2010-03-06T18:50:00-07:00",
-          "2010-03-06T18:51:00-07:00",
-          "2010-03-06T18:52:00-07:00",
-          "2010-03-06T18:53:00-07:00",
-          "2010-03-06T18:54:00-07:00",
-          "2010-03-06T18:55:00-07:00",
-          "2010-03-06T18:56:00-07:00",
-          "2010-03-06T18:57:00-07:00",
-          "2010-03-06T18:58:00-07:00",
-          "2010-03-06T18:59:00-07:00",
-          "2010-03-06T19:00:00-07:00",
-          "2010-03-06T19:01:00-07:00",
-          "2010-03-06T19:02:00-07:00",
-          "2010-03-06T19:03:00-07:00",
-          "2010-03-06T19:04:00-07:00",
-          "2010-03-06T19:05:00-07:00",
-          "2010-03-06T19:06:00-07:00",
-          "2010-03-06T19:07:00-07:00",
-          "2010-03-06T19:08:00-07:00",
-          "2010-03-06T19:09:00-07:00",
-          "2010-03-06T19:10:00-07:00",
-          "2010-03-06T19:11:00-07:00",
-          "2010-03-06T19:12:00-07:00",
-          "2010-03-06T19:13:00-07:00",
-          "2010-03-06T19:14:00-07:00",
-          "2010-03-06T19:15:00-07:00",
-          "2010-03-06T19:16:00-07:00",
-          "2010-03-06T19:17:00-07:00",
-          "2010-03-06T19:18:00-07:00",
-          "2010-03-06T19:19:00-07:00",
-          "2010-03-06T19:20:00-07:00",
-          "2010-03-06T19:21:00-07:00",
-          "2010-03-06T19:22:00-07:00",
-          "2010-03-06T19:23:00-07:00",
-          "2010-03-06T19:24:00-07:00",
-          "2010-03-06T19:25:00-07:00",
-          "2010-03-06T19:26:00-07:00",
-          "2010-03-06T19:27:00-07:00",
-          "2010-03-06T19:28:00-07:00",
-          "2010-03-06T19:29:00-07:00",
-          "2010-03-06T19:30:00-07:00",
-          "2010-03-06T19:31:00-07:00",
-          "2010-03-06T19:32:00-07:00",
-          "2010-03-06T19:33:00-07:00",
-          "2010-03-06T19:34:00-07:00",
-          "2010-03-06T19:35:00-07:00",
-          "2010-03-06T19:36:00-07:00",
-          "2010-03-06T19:37:00-07:00",
-          "2010-03-06T19:38:00-07:00",
-          "2010-03-06T19:39:00-07:00",
-          "2010-03-06T19:40:00-07:00",
-          "2010-03-06T19:41:00-07:00",
-          "2010-03-06T19:42:00-07:00",
-          "2010-03-06T19:43:00-07:00",
-          "2010-03-06T19:44:00-07:00",
-          "2010-03-06T19:45:00-07:00",
-          "2010-03-06T19:46:00-07:00",
-          "2010-03-06T19:47:00-07:00",
-          "2010-03-06T19:48:00-07:00",
-          "2010-03-06T19:49:00-07:00",
-          "2010-03-06T19:50:00-07:00",
-          "2010-03-06T19:51:00-07:00",
-          "2010-03-06T19:52:00-07:00",
-          "2010-03-06T19:53:00-07:00",
-          "2010-03-06T19:54:00-07:00",
-          "2010-03-06T19:55:00-07:00",
-          "2010-03-06T19:56:00-07:00",
-          "2010-03-06T19:57:00-07:00",
-          "2010-03-06T19:58:00-07:00",
-          "2010-03-06T19:59:00-07:00",
-          "2010-03-06T20:00:00-07:00",
-          "2010-03-06T20:01:00-07:00",
-          "2010-03-06T20:02:00-07:00",
-          "2010-03-06T20:03:00-07:00",
-          "2010-03-06T20:04:00-07:00",
-          "2010-03-06T20:05:00-07:00",
-          "2010-03-06T20:06:00-07:00",
-          "2010-03-06T20:07:00-07:00",
-          "2010-03-06T20:08:00-07:00",
-          "2010-03-06T20:09:00-07:00",
-          "2010-03-06T20:10:00-07:00",
-          "2010-03-06T20:11:00-07:00",
-          "2010-03-06T20:12:00-07:00",
-          "2010-03-06T20:13:00-07:00",
-          "2010-03-06T20:14:00-07:00",
-          "2010-03-06T20:15:00-07:00",
-          "2010-03-06T20:16:00-07:00",
-          "2010-03-06T20:17:00-07:00",
-          "2010-03-06T20:18:00-07:00",
-          "2010-03-06T20:19:00-07:00",
-          "2010-03-06T20:20:00-07:00",
-          "2010-03-06T20:21:00-07:00",
-          "2010-03-06T20:22:00-07:00",
-          "2010-03-06T20:23:00-07:00",
-          "2010-03-06T20:24:00-07:00",
-          "2010-03-06T20:25:00-07:00",
-          "2010-03-06T20:26:00-07:00",
-          "2010-03-06T20:27:00-07:00",
-          "2010-03-06T20:28:00-07:00",
-          "2010-03-06T20:29:00-07:00",
-          "2010-03-06T20:30:00-07:00",
-          "2010-03-06T20:31:00-07:00",
-          "2010-03-06T20:32:00-07:00",
-          "2010-03-06T20:33:00-07:00",
-          "2010-03-06T20:34:00-07:00",
-          "2010-03-06T20:35:00-07:00",
-          "2010-03-06T20:36:00-07:00",
-          "2010-03-06T20:37:00-07:00",
-          "2010-03-06T20:38:00-07:00",
-          "2010-03-06T20:39:00-07:00",
-          "2010-03-06T20:40:00-07:00",
-          "2010-03-06T20:41:00-07:00",
-          "2010-03-06T20:42:00-07:00",
-          "2010-03-06T20:43:00-07:00",
-          "2010-03-06T20:44:00-07:00",
-          "2010-03-06T20:45:00-07:00",
-          "2010-03-06T20:46:00-07:00",
-          "2010-03-06T20:47:00-07:00",
-          "2010-03-06T20:48:00-07:00",
-          "2010-03-06T20:49:00-07:00",
-          "2010-03-06T20:50:00-07:00",
-          "2010-03-06T20:51:00-07:00",
-          "2010-03-06T20:52:00-07:00",
-          "2010-03-06T20:53:00-07:00",
-          "2010-03-06T20:54:00-07:00",
-          "2010-03-06T20:55:00-07:00",
-          "2010-03-06T20:56:00-07:00",
-          "2010-03-06T20:57:00-07:00",
-          "2010-03-06T20:58:00-07:00",
-          "2010-03-06T20:59:00-07:00",
-          "2010-03-06T21:00:00-07:00",
-          "2010-03-06T21:01:00-07:00",
-          "2010-03-06T21:02:00-07:00",
-          "2010-03-06T21:03:00-07:00",
-          "2010-03-06T21:04:00-07:00",
-          "2010-03-06T21:05:00-07:00",
-          "2010-03-06T21:06:00-07:00",
-          "2010-03-06T21:07:00-07:00",
-          "2010-03-06T21:08:00-07:00",
-          "2010-03-06T21:09:00-07:00",
-          "2010-03-06T21:10:00-07:00",
-          "2010-03-06T21:11:00-07:00",
-          "2010-03-06T21:12:00-07:00",
-          "2010-03-06T21:13:00-07:00",
-          "2010-03-06T21:14:00-07:00",
-          "2010-03-06T21:15:00-07:00",
-          "2010-03-06T21:16:00-07:00",
-          "2010-03-06T21:17:00-07:00",
-          "2010-03-06T21:18:00-07:00",
-          "2010-03-06T21:19:00-07:00",
-          "2010-03-06T21:20:00-07:00",
-          "2010-03-06T21:21:00-07:00",
-          "2010-03-06T21:22:00-07:00",
-          "2010-03-06T21:23:00-07:00",
-          "2010-03-06T21:24:00-07:00",
-          "2010-03-06T21:25:00-07:00",
-          "2010-03-06T21:26:00-07:00",
-          "2010-03-06T21:27:00-07:00",
-          "2010-03-06T21:28:00-07:00",
-          "2010-03-06T21:29:00-07:00",
-          "2010-03-06T21:30:00-07:00",
-          "2010-03-06T21:31:00-07:00",
-          "2010-03-06T21:32:00-07:00",
-          "2010-03-06T21:33:00-07:00",
-          "2010-03-06T21:34:00-07:00",
-          "2010-03-06T21:35:00-07:00",
-          "2010-03-06T21:36:00-07:00",
-          "2010-03-06T21:37:00-07:00",
-          "2010-03-06T21:38:00-07:00",
-          "2010-03-06T21:39:00-07:00",
-          "2010-03-06T21:40:00-07:00",
-          "2010-03-06T21:41:00-07:00",
-          "2010-03-06T21:42:00-07:00",
-          "2010-03-06T21:43:00-07:00",
-          "2010-03-06T21:44:00-07:00",
-          "2010-03-06T21:45:00-07:00",
-          "2010-03-06T21:46:00-07:00",
-          "2010-03-06T21:47:00-07:00",
-          "2010-03-06T21:48:00-07:00",
-          "2010-03-06T21:49:00-07:00",
-          "2010-03-06T21:50:00-07:00",
-          "2010-03-06T21:51:00-07:00",
-          "2010-03-06T21:52:00-07:00",
-          "2010-03-06T21:53:00-07:00",
-          "2010-03-06T21:54:00-07:00",
-          "2010-03-06T21:55:00-07:00",
-          "2010-03-06T21:56:00-07:00",
-          "2010-03-06T21:57:00-07:00",
-          "2010-03-06T21:58:00-07:00",
-          "2010-03-06T21:59:00-07:00",
-          "2010-03-06T22:00:00-07:00",
-          "2010-03-06T22:01:00-07:00",
-          "2010-03-06T22:02:00-07:00",
-          "2010-03-06T22:03:00-07:00",
-          "2010-03-06T22:04:00-07:00",
-          "2010-03-06T22:05:00-07:00",
-          "2010-03-06T22:06:00-07:00",
-          "2010-03-06T22:07:00-07:00",
-          "2010-03-06T22:08:00-07:00",
-          "2010-03-06T22:09:00-07:00",
-          "2010-03-06T22:10:00-07:00",
-          "2010-03-06T22:11:00-07:00",
-          "2010-03-06T22:12:00-07:00",
-          "2010-03-06T22:13:00-07:00",
-          "2010-03-06T22:14:00-07:00",
-          "2010-03-06T22:15:00-07:00",
-          "2010-03-06T22:16:00-07:00",
-          "2010-03-06T22:17:00-07:00",
-          "2010-03-06T22:18:00-07:00",
-          "2010-03-06T22:19:00-07:00",
-          "2010-03-06T22:20:00-07:00",
-          "2010-03-06T22:21:00-07:00",
-          "2010-03-06T22:22:00-07:00",
-          "2010-03-06T22:23:00-07:00",
-          "2010-03-06T22:24:00-07:00",
-          "2010-03-06T22:25:00-07:00",
-          "2010-03-06T22:26:00-07:00",
-          "2010-03-06T22:27:00-07:00",
-          "2010-03-06T22:28:00-07:00",
-          "2010-03-06T22:29:00-07:00",
-          "2010-03-06T22:30:00-07:00",
-          "2010-03-06T22:31:00-07:00",
-          "2010-03-06T22:32:00-07:00",
-          "2010-03-06T22:33:00-07:00",
-          "2010-03-06T22:34:00-07:00",
-          "2010-03-06T22:35:00-07:00",
-          "2010-03-06T22:36:00-07:00",
-          "2010-03-06T22:37:00-07:00",
-          "2010-03-06T22:38:00-07:00",
-          "2010-03-06T22:39:00-07:00",
-          "2010-03-06T22:40:00-07:00",
-          "2010-03-06T22:41:00-07:00",
-          "2010-03-06T22:42:00-07:00",
-          "2010-03-06T22:43:00-07:00",
-          "2010-03-06T22:44:00-07:00",
-          "2010-03-06T22:45:00-07:00",
-          "2010-03-06T22:46:00-07:00",
-          "2010-03-06T22:47:00-07:00",
-          "2010-03-06T22:48:00-07:00",
-          "2010-03-06T22:49:00-07:00",
-          "2010-03-06T22:50:00-07:00",
-          "2010-03-06T22:51:00-07:00",
-          "2010-03-06T22:52:00-07:00",
-          "2010-03-06T22:53:00-07:00",
-          "2010-03-06T22:54:00-07:00",
-          "2010-03-06T22:55:00-07:00",
-          "2010-03-06T22:56:00-07:00",
-          "2010-03-06T22:57:00-07:00",
-          "2010-03-06T22:58:00-07:00",
-          "2010-03-06T22:59:00-07:00",
-          "2010-03-06T23:00:00-07:00",
-          "2010-03-06T23:01:00-07:00",
-          "2010-03-06T23:02:00-07:00",
-          "2010-03-06T23:03:00-07:00",
-          "2010-03-06T23:04:00-07:00",
-          "2010-03-06T23:05:00-07:00",
-          "2010-03-06T23:06:00-07:00",
-          "2010-03-06T23:07:00-07:00",
-          "2010-03-06T23:08:00-07:00",
-          "2010-03-06T23:09:00-07:00",
-          "2010-03-06T23:10:00-07:00",
-          "2010-03-06T23:11:00-07:00",
-          "2010-03-06T23:12:00-07:00",
-          "2010-03-06T23:13:00-07:00",
-          "2010-03-06T23:14:00-07:00",
-          "2010-03-06T23:15:00-07:00",
-          "2010-03-06T23:16:00-07:00",
-          "2010-03-06T23:17:00-07:00",
-          "2010-03-06T23:18:00-07:00",
-          "2010-03-06T23:19:00-07:00",
-          "2010-03-06T23:20:00-07:00",
-          "2010-03-06T23:21:00-07:00",
-          "2010-03-06T23:22:00-07:00",
-          "2010-03-06T23:23:00-07:00",
-          "2010-03-06T23:24:00-07:00",
-          "2010-03-06T23:25:00-07:00",
-          "2010-03-06T23:26:00-07:00",
-          "2010-03-06T23:27:00-07:00",
-          "2010-03-06T23:28:00-07:00",
-          "2010-03-06T23:29:00-07:00",
-          "2010-03-06T23:30:00-07:00",
-          "2010-03-06T23:31:00-07:00",
-          "2010-03-06T23:32:00-07:00",
-          "2010-03-06T23:33:00-07:00",
-          "2010-03-06T23:34:00-07:00",
-          "2010-03-06T23:35:00-07:00",
-          "2010-03-06T23:36:00-07:00",
-          "2010-03-06T23:37:00-07:00",
-          "2010-03-06T23:38:00-07:00",
-          "2010-03-06T23:39:00-07:00",
-          "2010-03-06T23:40:00-07:00",
-          "2010-03-06T23:41:00-07:00",
-          "2010-03-06T23:42:00-07:00",
-          "2010-03-06T23:43:00-07:00",
-          "2010-03-06T23:44:00-07:00",
-          "2010-03-06T23:45:00-07:00",
-          "2010-03-06T23:46:00-07:00",
-          "2010-03-06T23:47:00-07:00",
-          "2010-03-06T23:48:00-07:00",
-          "2010-03-06T23:49:00-07:00",
-          "2010-03-06T23:50:00-07:00",
-          "2010-03-06T23:51:00-07:00",
-          "2010-03-06T23:52:00-07:00",
-          "2010-03-06T23:53:00-07:00",
-          "2010-03-06T23:54:00-07:00",
-          "2010-03-06T23:55:00-07:00",
-          "2010-03-06T23:56:00-07:00",
-          "2010-03-06T23:57:00-07:00",
-          "2010-03-06T23:58:00-07:00",
-          "2010-03-06T23:59:00-07:00",
-          "2010-03-07T00:00:00-07:00",
-          "2010-03-07T00:01:00-07:00",
-          "2010-03-07T00:02:00-07:00",
-          "2010-03-07T00:03:00-07:00",
-          "2010-03-07T00:04:00-07:00",
-          "2010-03-07T00:05:00-07:00",
-          "2010-03-07T00:06:00-07:00",
-          "2010-03-07T00:07:00-07:00",
-          "2010-03-07T00:08:00-07:00",
-          "2010-03-07T00:09:00-07:00",
-          "2010-03-07T00:10:00-07:00",
-          "2010-03-07T00:11:00-07:00",
-          "2010-03-07T00:12:00-07:00",
-          "2010-03-07T00:13:00-07:00",
-          "2010-03-07T00:14:00-07:00",
-          "2010-03-07T00:15:00-07:00",
-          "2010-03-07T00:16:00-07:00",
-          "2010-03-07T00:17:00-07:00",
-          "2010-03-07T00:18:00-07:00",
-          "2010-03-07T00:19:00-07:00",
-          "2010-03-07T00:20:00-07:00",
-          "2010-03-07T00:21:00-07:00",
-          "2010-03-07T00:22:00-07:00",
-          "2010-03-07T00:23:00-07:00",
-          "2010-03-07T00:24:00-07:00",
-          "2010-03-07T00:25:00-07:00",
-          "2010-03-07T00:26:00-07:00",
-          "2010-03-07T00:27:00-07:00",
-          "2010-03-07T00:28:00-07:00",
-          "2010-03-07T00:29:00-07:00",
-          "2010-03-07T00:30:00-07:00",
-          "2010-03-07T00:31:00-07:00",
-          "2010-03-07T00:32:00-07:00",
-          "2010-03-07T00:33:00-07:00",
-          "2010-03-07T00:34:00-07:00",
-          "2010-03-07T00:35:00-07:00",
-          "2010-03-07T00:36:00-07:00",
-          "2010-03-07T00:37:00-07:00",
-          "2010-03-07T00:38:00-07:00",
-          "2010-03-07T00:39:00-07:00",
-          "2010-03-07T00:40:00-07:00",
-          "2010-03-07T00:41:00-07:00",
-          "2010-03-07T00:42:00-07:00",
-          "2010-03-07T00:43:00-07:00",
-          "2010-03-07T00:44:00-07:00",
-          "2010-03-07T00:45:00-07:00",
-          "2010-03-07T00:46:00-07:00",
-          "2010-03-07T00:47:00-07:00",
-          "2010-03-07T00:48:00-07:00",
-          "2010-03-07T00:49:00-07:00",
-          "2010-03-07T00:50:00-07:00",
-          "2010-03-07T00:51:00-07:00",
-          "2010-03-07T00:52:00-07:00",
-          "2010-03-07T00:53:00-07:00",
-          "2010-03-07T00:54:00-07:00",
-          "2010-03-07T00:55:00-07:00",
-          "2010-03-07T00:56:00-07:00",
-          "2010-03-07T00:57:00-07:00",
-          "2010-03-07T00:58:00-07:00",
-          "2010-03-07T00:59:00-07:00",
-          "2010-03-07T01:00:00-07:00",
-          "2010-03-07T01:01:00-07:00",
-          "2010-03-07T01:02:00-07:00",
-          "2010-03-07T01:03:00-07:00",
-          "2010-03-07T01:04:00-07:00",
-          "2010-03-07T01:05:00-07:00",
-          "2010-03-07T01:06:00-07:00",
-          "2010-03-07T01:07:00-07:00",
-          "2010-03-07T01:08:00-07:00",
-          "2010-03-07T01:09:00-07:00",
-          "2010-03-07T01:10:00-07:00",
-          "2010-03-07T01:11:00-07:00",
-          "2010-03-07T01:12:00-07:00",
-          "2010-03-07T01:13:00-07:00",
-          "2010-03-07T01:14:00-07:00",
-          "2010-03-07T01:15:00-07:00",
-          "2010-03-07T01:16:00-07:00",
-          "2010-03-07T01:17:00-07:00",
-          "2010-03-07T01:18:00-07:00",
-          "2010-03-07T01:19:00-07:00",
-          "2010-03-07T01:20:00-07:00",
-          "2010-03-07T01:21:00-07:00",
-          "2010-03-07T01:22:00-07:00",
-          "2010-03-07T01:23:00-07:00",
-          "2010-03-07T01:24:00-07:00",
-          "2010-03-07T01:25:00-07:00",
-          "2010-03-07T01:26:00-07:00",
-          "2010-03-07T01:27:00-07:00",
-          "2010-03-07T01:28:00-07:00",
-          "2010-03-07T01:29:00-07:00",
-          "2010-03-07T01:30:00-07:00",
-          "2010-03-07T01:31:00-07:00",
-          "2010-03-07T01:32:00-07:00",
-          "2010-03-07T01:33:00-07:00",
-          "2010-03-07T01:34:00-07:00",
-          "2010-03-07T01:35:00-07:00",
-          "2010-03-07T01:36:00-07:00",
-          "2010-03-07T01:37:00-07:00",
-          "2010-03-07T01:38:00-07:00",
-          "2010-03-07T01:39:00-07:00",
-          "2010-03-07T01:40:00-07:00",
-          "2010-03-07T01:41:00-07:00",
-          "2010-03-07T01:42:00-07:00",
-          "2010-03-07T01:43:00-07:00",
-          "2010-03-07T01:44:00-07:00",
-          "2010-03-07T01:45:00-07:00",
-          "2010-03-07T01:46:00-07:00",
-          "2010-03-07T01:47:00-07:00",
-          "2010-03-07T01:48:00-07:00",
-          "2010-03-07T01:49:00-07:00",
-          "2010-03-07T01:50:00-07:00",
-          "2010-03-07T01:51:00-07:00",
-          "2010-03-07T01:52:00-07:00",
-          "2010-03-07T01:53:00-07:00",
-          "2010-03-07T01:54:00-07:00",
-          "2010-03-07T01:55:00-07:00",
-          "2010-03-07T01:56:00-07:00",
-          "2010-03-07T01:57:00-07:00",
-          "2010-03-07T01:58:00-07:00",
-          "2010-03-07T01:59:00-07:00",
-          "2010-03-07T02:00:00-07:00",
-          "2010-03-07T02:01:00-07:00",
-          "2010-03-07T02:02:00-07:00",
-          "2010-03-07T02:03:00-07:00",
-          "2010-03-07T02:04:00-07:00",
-          "2010-03-07T02:05:00-07:00",
-          "2010-03-07T02:06:00-07:00",
-          "2010-03-07T02:07:00-07:00",
-          "2010-03-07T02:08:00-07:00",
-          "2010-03-07T02:09:00-07:00",
-          "2010-03-07T02:10:00-07:00",
-          "2010-03-07T02:11:00-07:00",
-          "2010-03-07T02:12:00-07:00",
-          "2010-03-07T02:13:00-07:00",
-          "2010-03-07T02:14:00-07:00",
-          "2010-03-07T02:15:00-07:00",
-          "2010-03-07T02:16:00-07:00",
-          "2010-03-07T02:17:00-07:00",
-          "2010-03-07T02:18:00-07:00",
-          "2010-03-07T02:19:00-07:00",
-          "2010-03-07T02:20:00-07:00",
-          "2010-03-07T02:21:00-07:00",
-          "2010-03-07T02:22:00-07:00",
-          "2010-03-07T02:23:00-07:00",
-          "2010-03-07T02:24:00-07:00",
-          "2010-03-07T02:25:00-07:00",
-          "2010-03-07T02:26:00-07:00",
-          "2010-03-07T02:27:00-07:00",
-          "2010-03-07T02:28:00-07:00",
-          "2010-03-07T02:29:00-07:00",
-          "2010-03-07T02:30:00-07:00",
-          "2010-03-07T02:31:00-07:00",
-          "2010-03-07T02:32:00-07:00",
-          "2010-03-07T02:33:00-07:00",
-          "2010-03-07T02:34:00-07:00",
-          "2010-03-07T02:35:00-07:00",
-          "2010-03-07T02:36:00-07:00",
-          "2010-03-07T02:37:00-07:00",
-          "2010-03-07T02:38:00-07:00",
-          "2010-03-07T02:39:00-07:00",
-          "2010-03-07T02:40:00-07:00",
-          "2010-03-07T02:41:00-07:00",
-          "2010-03-07T02:42:00-07:00",
-          "2010-03-07T02:43:00-07:00",
-          "2010-03-07T02:44:00-07:00",
-          "2010-03-07T02:45:00-07:00",
-          "2010-03-07T02:46:00-07:00",
-          "2010-03-07T02:47:00-07:00",
-          "2010-03-07T02:48:00-07:00",
-          "2010-03-07T02:49:00-07:00",
-          "2010-03-07T02:50:00-07:00",
-          "2010-03-07T02:51:00-07:00",
-          "2010-03-07T02:52:00-07:00",
-          "2010-03-07T02:53:00-07:00",
-          "2010-03-07T02:54:00-07:00",
-          "2010-03-07T02:55:00-07:00",
-          "2010-03-07T02:56:00-07:00",
-          "2010-03-07T02:57:00-07:00",
-          "2010-03-07T02:58:00-07:00",
-          "2010-03-07T02:59:00-07:00",
-          "2010-03-07T03:00:00-07:00",
-          "2010-03-07T03:01:00-07:00",
-          "2010-03-07T03:02:00-07:00",
-          "2010-03-07T03:03:00-07:00",
-          "2010-03-07T03:04:00-07:00",
-          "2010-03-07T03:05:00-07:00",
-          "2010-03-07T03:06:00-07:00",
-          "2010-03-07T03:07:00-07:00",
-          "2010-03-07T03:08:00-07:00",
-          "2010-03-07T03:09:00-07:00",
-          "2010-03-07T03:10:00-07:00",
-          "2010-03-07T03:11:00-07:00",
-          "2010-03-07T03:12:00-07:00",
-          "2010-03-07T03:13:00-07:00",
-          "2010-03-07T03:14:00-07:00",
-          "2010-03-07T03:15:00-07:00",
-          "2010-03-07T03:16:00-07:00",
-          "2010-03-07T03:17:00-07:00",
-          "2010-03-07T03:18:00-07:00",
-          "2010-03-07T03:19:00-07:00",
-          "2010-03-07T03:20:00-07:00",
-          "2010-03-07T03:21:00-07:00",
-          "2010-03-07T03:22:00-07:00",
-          "2010-03-07T03:23:00-07:00",
-          "2010-03-07T03:24:00-07:00",
-          "2010-03-07T03:25:00-07:00",
-          "2010-03-07T03:26:00-07:00",
-          "2010-03-07T03:27:00-07:00",
-          "2010-03-07T03:28:00-07:00",
-          "2010-03-07T03:29:00-07:00",
-          "2010-03-07T03:30:00-07:00",
-          "2010-03-07T03:31:00-07:00",
-          "2010-03-07T03:32:00-07:00",
-          "2010-03-07T03:33:00-07:00",
-          "2010-03-07T03:34:00-07:00",
-          "2010-03-07T03:35:00-07:00",
-          "2010-03-07T03:36:00-07:00",
-          "2010-03-07T03:37:00-07:00",
-          "2010-03-07T03:38:00-07:00",
-          "2010-03-07T03:39:00-07:00",
-          "2010-03-07T03:40:00-07:00",
-          "2010-03-07T03:41:00-07:00",
-          "2010-03-07T03:42:00-07:00",
-          "2010-03-07T03:43:00-07:00",
-          "2010-03-07T03:44:00-07:00",
-          "2010-03-07T03:45:00-07:00",
-          "2010-03-07T03:46:00-07:00",
-          "2010-03-07T03:47:00-07:00",
-          "2010-03-07T03:48:00-07:00",
-          "2010-03-07T03:49:00-07:00",
-          "2010-03-07T03:50:00-07:00",
-          "2010-03-07T03:51:00-07:00",
-          "2010-03-07T03:52:00-07:00",
-          "2010-03-07T03:53:00-07:00",
-          "2010-03-07T03:54:00-07:00",
-          "2010-03-07T03:55:00-07:00",
-          "2010-03-07T03:56:00-07:00",
-          "2010-03-07T03:57:00-07:00",
-          "2010-03-07T03:58:00-07:00",
-          "2010-03-07T03:59:00-07:00",
-          "2010-03-07T04:00:00-07:00",
-          "2010-03-07T04:01:00-07:00",
-          "2010-03-07T04:02:00-07:00",
-          "2010-03-07T04:03:00-07:00",
-          "2010-03-07T04:04:00-07:00",
-          "2010-03-07T04:05:00-07:00",
-          "2010-03-07T04:06:00-07:00",
-          "2010-03-07T04:07:00-07:00",
-          "2010-03-07T04:08:00-07:00",
-          "2010-03-07T04:09:00-07:00",
-          "2010-03-07T04:10:00-07:00",
-          "2010-03-07T04:11:00-07:00",
-          "2010-03-07T04:12:00-07:00",
-          "2010-03-07T04:13:00-07:00",
-          "2010-03-07T04:14:00-07:00",
-          "2010-03-07T04:15:00-07:00",
-          "2010-03-07T04:16:00-07:00",
-          "2010-03-07T04:17:00-07:00",
-          "2010-03-07T04:18:00-07:00",
-          "2010-03-07T04:19:00-07:00",
-          "2010-03-07T04:20:00-07:00",
-          "2010-03-07T04:21:00-07:00",
-          "2010-03-07T04:22:00-07:00",
-          "2010-03-07T04:23:00-07:00",
-          "2010-03-07T04:24:00-07:00",
-          "2010-03-07T04:25:00-07:00",
-          "2010-03-07T04:26:00-07:00",
-          "2010-03-07T04:27:00-07:00",
-          "2010-03-07T04:28:00-07:00",
-          "2010-03-07T04:29:00-07:00",
-          "2010-03-07T04:30:00-07:00",
-          "2010-03-07T04:31:00-07:00",
-          "2010-03-07T04:32:00-07:00",
-          "2010-03-07T04:33:00-07:00",
-          "2010-03-07T04:34:00-07:00",
-          "2010-03-07T04:35:00-07:00",
-          "2010-03-07T04:36:00-07:00",
-          "2010-03-07T04:37:00-07:00",
-          "2010-03-07T04:38:00-07:00",
-          "2010-03-07T04:39:00-07:00",
-          "2010-03-07T04:40:00-07:00",
-          "2010-03-07T04:41:00-07:00",
-          "2010-03-07T04:42:00-07:00",
-          "2010-03-07T04:43:00-07:00",
-          "2010-03-07T04:44:00-07:00",
-          "2010-03-07T04:45:00-07:00",
-          "2010-03-07T04:46:00-07:00",
-          "2010-03-07T04:47:00-07:00",
-          "2010-03-07T04:48:00-07:00",
-          "2010-03-07T04:49:00-07:00",
-          "2010-03-07T04:50:00-07:00",
-          "2010-03-07T04:51:00-07:00",
-          "2010-03-07T04:52:00-07:00",
-          "2010-03-07T04:53:00-07:00",
-          "2010-03-07T04:54:00-07:00",
-          "2010-03-07T04:55:00-07:00",
-          "2010-03-07T04:56:00-07:00",
-          "2010-03-07T04:57:00-07:00",
-          "2010-03-07T04:58:00-07:00",
-          "2010-03-07T04:59:00-07:00",
-          "2010-03-07T05:00:00-07:00",
-          "2010-03-07T05:01:00-07:00",
-          "2010-03-07T05:02:00-07:00",
-          "2010-03-07T05:03:00-07:00",
-          "2010-03-07T05:04:00-07:00",
-          "2010-03-07T05:05:00-07:00",
-          "2010-03-07T05:06:00-07:00",
-          "2010-03-07T05:07:00-07:00",
-          "2010-03-07T05:08:00-07:00",
-          "2010-03-07T05:09:00-07:00",
-          "2010-03-07T05:10:00-07:00",
-          "2010-03-07T05:11:00-07:00",
-          "2010-03-07T05:12:00-07:00",
-          "2010-03-07T05:13:00-07:00",
-          "2010-03-07T05:14:00-07:00",
-          "2010-03-07T05:15:00-07:00",
-          "2010-03-07T05:16:00-07:00",
-          "2010-03-07T05:17:00-07:00",
-          "2010-03-07T05:18:00-07:00",
-          "2010-03-07T05:19:00-07:00",
-          "2010-03-07T05:20:00-07:00",
-          "2010-03-07T05:21:00-07:00",
-          "2010-03-07T05:22:00-07:00",
-          "2010-03-07T05:23:00-07:00",
-          "2010-03-07T05:24:00-07:00",
-          "2010-03-07T05:25:00-07:00",
-          "2010-03-07T05:26:00-07:00",
-          "2010-03-07T05:27:00-07:00",
-          "2010-03-07T05:28:00-07:00",
-          "2010-03-07T05:29:00-07:00",
-          "2010-03-07T05:30:00-07:00",
-          "2010-03-07T05:31:00-07:00",
-          "2010-03-07T05:32:00-07:00",
-          "2010-03-07T05:33:00-07:00",
-          "2010-03-07T05:34:00-07:00",
-          "2010-03-07T05:35:00-07:00",
-          "2010-03-07T05:36:00-07:00",
-          "2010-03-07T05:37:00-07:00",
-          "2010-03-07T05:38:00-07:00",
-          "2010-03-07T05:39:00-07:00",
-          "2010-03-07T05:40:00-07:00",
-          "2010-03-07T05:41:00-07:00",
-          "2010-03-07T05:42:00-07:00",
-          "2010-03-07T05:43:00-07:00",
-          "2010-03-07T05:44:00-07:00",
-          "2010-03-07T05:45:00-07:00",
-          "2010-03-07T05:46:00-07:00",
-          "2010-03-07T05:47:00-07:00",
-          "2010-03-07T05:48:00-07:00",
-          "2010-03-07T05:49:00-07:00",
-          "2010-03-07T05:50:00-07:00",
-          "2010-03-07T05:51:00-07:00",
-          "2010-03-07T05:52:00-07:00",
-          "2010-03-07T05:53:00-07:00",
-          "2010-03-07T05:54:00-07:00",
-          "2010-03-07T05:55:00-07:00",
-          "2010-03-07T05:56:00-07:00",
-          "2010-03-07T05:57:00-07:00",
-          "2010-03-07T05:58:00-07:00",
-          "2010-03-07T05:59:00-07:00",
-          "2010-03-07T06:00:00-07:00",
-          "2010-03-07T06:01:00-07:00",
-          "2010-03-07T06:02:00-07:00",
-          "2010-03-07T06:03:00-07:00",
-          "2010-03-07T06:04:00-07:00",
-          "2010-03-07T06:05:00-07:00",
-          "2010-03-07T06:06:00-07:00",
-          "2010-03-07T06:07:00-07:00",
-          "2010-03-07T06:08:00-07:00",
-          "2010-03-07T06:09:00-07:00",
-          "2010-03-07T06:10:00-07:00",
-          "2010-03-07T06:11:00-07:00",
-          "2010-03-07T06:12:00-07:00",
-          "2010-03-07T06:13:00-07:00",
-          "2010-03-07T06:14:00-07:00",
-          "2010-03-07T06:15:00-07:00",
-          "2010-03-07T06:16:00-07:00",
-          "2010-03-07T06:17:00-07:00",
-          "2010-03-07T06:18:00-07:00",
-          "2010-03-07T06:19:00-07:00",
-          "2010-03-07T06:20:00-07:00",
-          "2010-03-07T06:21:00-07:00",
-          "2010-03-07T06:22:00-07:00",
-          "2010-03-07T06:23:00-07:00",
-          "2010-03-07T06:24:00-07:00",
-          "2010-03-07T06:25:00-07:00",
-          "2010-03-07T06:26:00-07:00",
-          "2010-03-07T06:27:00-07:00",
-          "2010-03-07T06:28:00-07:00",
-          "2010-03-07T06:29:00-07:00",
-          "2010-03-07T06:30:00-07:00",
-          "2010-03-07T06:31:00-07:00",
-          "2010-03-07T06:32:00-07:00",
-          "2010-03-07T06:33:00-07:00",
-          "2010-03-07T09:42:00-07:00",
-          "2010-03-07T09:43:00-07:00",
-          "2010-03-07T09:44:00-07:00",
-          "2010-03-07T09:47:00-07:00",
-          "2010-03-07T09:48:00-07:00",
-          "2010-03-07T09:49:00-07:00",
-          "2010-03-07T09:50:00-07:00",
-          "2010-03-07T09:51:00-07:00",
-          "2010-03-07T09:52:00-07:00",
-          "2010-03-07T09:53:00-07:00",
-          "2010-03-07T09:54:00-07:00",
-          "2010-03-07T09:55:00-07:00",
-          "2010-03-07T09:56:00-07:00",
-          "2010-03-07T09:57:00-07:00",
-          "2010-03-07T09:59:00-07:00",
-          "2010-03-07T10:00:00-07:00",
-          "2010-03-07T10:01:00-07:00",
-          "2010-03-07T10:02:00-07:00",
-          "2010-03-07T10:03:00-07:00",
-          "2010-03-07T10:05:00-07:00",
-          "2010-03-07T10:06:00-07:00",
-          "2010-03-07T10:08:00-07:00",
-          "2010-03-07T10:09:00-07:00",
-          "2010-03-07T10:10:00-07:00",
-          "2010-03-07T10:11:00-07:00",
-          "2010-03-07T10:12:00-07:00",
-          "2010-03-07T10:13:00-07:00",
-          "2010-03-07T10:14:00-07:00",
-          "2010-03-07T10:15:00-07:00",
-          "2010-03-07T10:16:00-07:00",
-          "2010-03-07T10:17:00-07:00",
-          "2010-03-07T10:18:00-07:00",
-          "2010-03-07T10:19:00-07:00",
-          "2010-03-07T10:20:00-07:00",
-          "2010-03-07T10:21:00-07:00",
-          "2010-03-07T10:22:00-07:00",
-          "2010-03-07T10:23:00-07:00",
-          "2010-03-07T10:24:00-07:00",
-          "2010-03-07T10:25:00-07:00",
-          "2010-03-07T10:26:00-07:00",
-          "2010-03-07T10:27:00-07:00",
-          "2010-03-07T10:28:00-07:00",
-          "2010-03-07T10:32:00-07:00",
-          "2010-03-07T10:33:00-07:00",
-          "2010-03-07T10:34:00-07:00",
-          "2010-03-07T10:35:00-07:00",
-          "2010-03-07T10:36:00-07:00",
-          "2010-03-07T10:37:00-07:00",
-          "2010-03-07T10:38:00-07:00",
-          "2010-03-07T10:39:00-07:00",
-          "2010-03-07T10:40:00-07:00",
-          "2010-03-07T10:41:00-07:00",
-          "2010-03-07T10:44:00-07:00",
-          "2010-03-07T10:45:00-07:00",
-          "2010-03-07T10:46:00-07:00",
-          "2010-03-07T10:47:00-07:00",
-          "2010-03-07T10:48:00-07:00",
-          "2010-03-07T10:49:00-07:00",
-          "2010-03-07T10:50:00-07:00",
-          "2010-03-07T10:51:00-07:00",
-          "2010-03-07T10:55:00-07:00",
-          "2010-03-07T10:57:00-07:00",
-          "2010-03-07T10:58:00-07:00",
-          "2010-03-07T11:00:00-07:00",
-          "2010-03-07T11:01:00-07:00",
-          "2010-03-07T11:02:00-07:00",
-          "2010-03-07T11:03:00-07:00",
-          "2010-03-07T11:04:00-07:00",
-          "2010-03-07T11:05:00-07:00",
-          "2010-03-07T11:06:00-07:00",
-          "2010-03-07T11:07:00-07:00",
-          "2010-03-07T11:08:00-07:00",
-          "2010-03-07T11:09:00-07:00",
-          "2010-03-07T11:10:00-07:00",
-          "2010-03-07T11:11:00-07:00",
-          "2010-03-07T11:12:00-07:00",
-          "2010-03-07T11:13:00-07:00",
-          "2010-03-07T11:14:00-07:00",
-          "2010-03-07T11:15:00-07:00",
-          "2010-03-07T11:16:00-07:00",
-          "2010-03-07T11:17:00-07:00",
-          "2010-03-07T11:18:00-07:00",
-          "2010-03-07T11:19:00-07:00",
-          "2010-03-07T11:20:00-07:00",
-          "2010-03-07T11:21:00-07:00",
-          "2010-03-07T11:22:00-07:00",
-          "2010-03-07T11:23:00-07:00",
-          "2010-03-07T11:24:00-07:00",
-          "2010-03-07T11:25:00-07:00",
-          "2010-03-07T11:26:00-07:00",
-          "2010-03-07T11:27:00-07:00",
-          "2010-03-07T11:28:00-07:00",
-          "2010-03-07T11:29:00-07:00",
-          "2010-03-07T11:30:00-07:00",
-          "2010-03-07T11:31:00-07:00",
-          "2010-03-07T11:32:00-07:00",
-          "2010-03-07T11:33:00-07:00",
-          "2010-03-07T11:34:00-07:00",
-          "2010-03-07T11:35:00-07:00",
-          "2010-03-07T11:36:00-07:00",
-          "2010-03-07T11:37:00-07:00",
-          "2010-03-07T11:38:00-07:00",
-          "2010-03-07T11:39:00-07:00",
-          "2010-03-07T11:40:00-07:00",
-          "2010-03-07T11:41:00-07:00",
-          "2010-03-07T11:42:00-07:00",
-          "2010-03-07T11:43:00-07:00",
-          "2010-03-07T11:44:00-07:00",
-          "2010-03-07T11:45:00-07:00",
-          "2010-03-07T11:46:00-07:00",
-          "2010-03-07T11:47:00-07:00",
-          "2010-03-07T11:48:00-07:00",
-          "2010-03-07T11:49:00-07:00",
-          "2010-03-07T11:50:00-07:00",
-          "2010-03-07T11:54:00-07:00",
-          "2010-03-07T11:55:00-07:00",
-          "2010-03-07T11:56:00-07:00",
-          "2010-03-07T11:57:00-07:00",
-          "2010-03-07T11:58:00-07:00",
-          "2010-03-07T11:59:00-07:00",
-          "2010-03-07T12:00:00-07:00",
-          "2010-03-07T12:01:00-07:00",
-          "2010-03-07T12:02:00-07:00",
-          "2010-03-07T12:03:00-07:00",
-          "2010-03-07T12:04:00-07:00",
-          "2010-03-07T12:05:00-07:00",
-          "2010-03-07T12:06:00-07:00",
-          "2010-03-07T12:07:00-07:00",
-          "2010-03-07T12:08:00-07:00",
-          "2010-03-07T12:09:00-07:00",
-          "2010-03-07T12:10:00-07:00",
-          "2010-03-07T12:11:00-07:00",
-          "2010-03-07T12:12:00-07:00",
-          "2010-03-07T12:13:00-07:00",
-          "2010-03-07T12:14:00-07:00",
-          "2010-03-07T12:15:00-07:00",
-          "2010-03-07T12:16:00-07:00",
-          "2010-03-07T12:17:00-07:00",
-          "2010-03-07T12:18:00-07:00",
-          "2010-03-07T12:19:00-07:00",
-          "2010-03-07T12:20:00-07:00",
-          "2010-03-07T12:21:00-07:00",
-          "2010-03-07T12:22:00-07:00",
-          "2010-03-07T12:23:00-07:00",
-          "2010-03-07T12:24:00-07:00",
-          "2010-03-07T12:27:00-07:00",
-          "2010-03-07T12:28:00-07:00",
-          "2010-03-07T12:29:00-07:00",
-          "2010-03-07T12:32:00-07:00",
-          "2010-03-07T12:33:00-07:00",
-          "2010-03-07T12:34:00-07:00",
-          "2010-03-07T12:35:00-07:00",
-          "2010-03-07T12:36:00-07:00",
-          "2010-03-07T12:37:00-07:00",
-          "2010-03-07T12:38:00-07:00",
-          "2010-03-07T12:39:00-07:00",
-          "2010-03-07T12:40:00-07:00",
-          "2010-03-07T12:41:00-07:00",
-          "2010-03-07T12:42:00-07:00",
-          "2010-03-07T12:43:00-07:00",
-          "2010-03-07T12:44:00-07:00",
-          "2010-03-07T12:45:00-07:00",
-          "2010-03-07T12:46:00-07:00",
-          "2010-03-07T12:47:00-07:00",
-          "2010-03-07T12:48:00-07:00",
-          "2010-03-07T12:49:00-07:00",
-          "2010-03-07T12:50:00-07:00",
-          "2010-03-07T12:51:00-07:00",
-          "2010-03-07T12:52:00-07:00",
-          "2010-03-07T12:53:00-07:00",
-          "2010-03-07T12:54:00-07:00",
-          "2010-03-07T12:55:00-07:00",
-          "2010-03-07T12:56:00-07:00",
-          "2010-03-07T12:57:00-07:00",
-          "2010-03-07T12:58:00-07:00",
-          "2010-03-07T12:59:00-07:00",
-          "2010-03-07T13:00:00-07:00",
-          "2010-03-07T13:01:00-07:00",
-          "2010-03-07T13:02:00-07:00",
-          "2010-03-07T13:03:00-07:00",
-          "2010-03-07T13:04:00-07:00",
-          "2010-03-07T13:05:00-07:00",
-          "2010-03-07T13:06:00-07:00",
-          "2010-03-07T13:07:00-07:00",
-          "2010-03-07T13:08:00-07:00",
-          "2010-03-07T13:09:00-07:00",
-          "2010-03-07T13:10:00-07:00",
-          "2010-03-07T13:11:00-07:00",
-          "2010-03-07T13:12:00-07:00",
-          "2010-03-07T13:13:00-07:00",
-          "2010-03-07T13:14:00-07:00",
-          "2010-03-07T13:17:00-07:00",
-          "2010-03-07T13:19:00-07:00",
-          "2010-03-07T13:20:00-07:00",
-          "2010-03-07T13:21:00-07:00",
-          "2010-03-07T13:22:00-07:00",
-          "2010-03-07T13:23:00-07:00",
-          "2010-03-07T13:24:00-07:00",
-          "2010-03-07T13:25:00-07:00",
-          "2010-03-07T13:26:00-07:00",
-          "2010-03-07T13:27:00-07:00",
-          "2010-03-07T13:28:00-07:00",
-          "2010-03-07T13:29:00-07:00",
-          "2010-03-07T13:30:00-07:00",
-          "2010-03-07T13:31:00-07:00",
-          "2010-03-07T13:32:00-07:00",
-          "2010-03-07T13:35:00-07:00",
-          "2010-03-07T13:36:00-07:00",
-          "2010-03-07T13:37:00-07:00",
-          "2010-03-07T13:38:00-07:00",
-          "2010-03-07T13:40:00-07:00",
-          "2010-03-07T13:41:00-07:00",
-          "2010-03-07T13:42:00-07:00",
-          "2010-03-07T13:43:00-07:00",
-          "2010-03-07T13:44:00-07:00",
-          "2010-03-07T13:45:00-07:00",
-          "2010-03-07T13:46:00-07:00",
-          "2010-03-07T13:47:00-07:00",
-          "2010-03-07T13:48:00-07:00",
-          "2010-03-07T13:49:00-07:00",
-          "2010-03-07T13:50:00-07:00",
-          "2010-03-07T13:51:00-07:00",
-          "2010-03-07T13:52:00-07:00",
-          "2010-03-07T13:53:00-07:00",
-          "2010-03-07T13:54:00-07:00",
-          "2010-03-07T13:55:00-07:00",
-          "2010-03-07T13:56:00-07:00",
-          "2010-03-07T13:57:00-07:00",
-          "2010-03-07T13:58:00-07:00",
-          "2010-03-07T13:59:00-07:00",
-          "2010-03-07T14:00:00-07:00",
-          "2010-03-07T14:01:00-07:00",
-          "2010-03-07T14:02:00-07:00",
-          "2010-03-07T14:03:00-07:00",
-          "2010-03-07T14:04:00-07:00",
-          "2010-03-07T14:05:00-07:00",
-          "2010-03-07T14:06:00-07:00",
-          "2010-03-07T14:07:00-07:00",
-          "2010-03-07T14:08:00-07:00",
-          "2010-03-07T14:12:00-07:00",
-          "2010-03-07T14:14:00-07:00",
-          "2010-03-07T14:15:00-07:00",
-          "2010-03-07T14:16:00-07:00",
-          "2010-03-07T14:17:00-07:00",
-          "2010-03-07T14:18:00-07:00",
-          "2010-03-07T14:25:00-07:00",
-          "2010-03-07T14:26:00-07:00",
-          "2010-03-07T14:31:00-07:00",
-          "2010-03-07T14:32:00-07:00",
-          "2010-03-07T14:34:00-07:00",
-          "2010-03-07T14:36:00-07:00",
-          "2010-03-07T17:45:00-07:00",
-          "2010-03-07T17:46:00-07:00",
-          "2010-03-07T17:47:00-07:00",
-          "2010-03-07T17:48:00-07:00",
-          "2010-03-07T17:49:00-07:00",
-          "2010-03-07T17:50:00-07:00",
-          "2010-03-07T17:51:00-07:00",
-          "2010-03-07T17:52:00-07:00",
-          "2010-03-07T17:53:00-07:00",
-          "2010-03-07T17:54:00-07:00",
-          "2010-03-07T17:55:00-07:00",
-          "2010-03-07T17:56:00-07:00",
-          "2010-03-07T17:57:00-07:00",
-          "2010-03-07T17:58:00-07:00",
-          "2010-03-07T17:59:00-07:00",
-          "2010-03-07T18:00:00-07:00",
-          "2010-03-07T18:01:00-07:00",
-          "2010-03-07T18:02:00-07:00",
-          "2010-03-07T18:03:00-07:00",
-          "2010-03-07T18:04:00-07:00",
-          "2010-03-07T18:05:00-07:00",
-          "2010-03-07T18:06:00-07:00",
-          "2010-03-07T18:07:00-07:00",
-          "2010-03-07T18:08:00-07:00",
-          "2010-03-07T18:09:00-07:00",
-          "2010-03-07T18:10:00-07:00",
-          "2010-03-07T18:11:00-07:00",
-          "2010-03-07T18:12:00-07:00",
-          "2010-03-07T18:13:00-07:00",
-          "2010-03-07T18:14:00-07:00",
-          "2010-03-07T18:15:00-07:00",
-          "2010-03-07T18:16:00-07:00",
-          "2010-03-07T18:17:00-07:00",
-          "2010-03-07T18:18:00-07:00",
-          "2010-03-07T18:19:00-07:00",
-          "2010-03-07T18:20:00-07:00",
-          "2010-03-07T18:21:00-07:00",
-          "2010-03-07T18:22:00-07:00",
-          "2010-03-07T18:23:00-07:00",
-          "2010-03-07T18:24:00-07:00",
-          "2010-03-07T18:25:00-07:00",
-          "2010-03-07T18:26:00-07:00",
-          "2010-03-07T18:27:00-07:00",
-          "2010-03-07T18:28:00-07:00",
-          "2010-03-07T18:29:00-07:00",
-          "2010-03-07T18:30:00-07:00",
-          "2010-03-07T18:31:00-07:00",
-          "2010-03-07T18:32:00-07:00",
-          "2010-03-07T18:33:00-07:00",
-          "2010-03-07T18:34:00-07:00",
-          "2010-03-07T18:35:00-07:00",
-          "2010-03-07T18:36:00-07:00",
-          "2010-03-07T18:37:00-07:00",
-          "2010-03-07T18:38:00-07:00",
-          "2010-03-07T18:39:00-07:00",
-          "2010-03-07T18:40:00-07:00",
-          "2010-03-07T18:41:00-07:00",
-          "2010-03-07T18:42:00-07:00",
-          "2010-03-07T18:43:00-07:00",
-          "2010-03-07T18:44:00-07:00",
-          "2010-03-07T18:45:00-07:00",
-          "2010-03-07T18:46:00-07:00",
-          "2010-03-07T18:47:00-07:00",
-          "2010-03-07T18:48:00-07:00",
-          "2010-03-07T18:49:00-07:00",
-          "2010-03-07T18:50:00-07:00",
-          "2010-03-07T18:51:00-07:00",
-          "2010-03-07T18:52:00-07:00",
-          "2010-03-07T18:53:00-07:00",
-          "2010-03-07T18:54:00-07:00",
-          "2010-03-07T18:55:00-07:00",
-          "2010-03-07T18:56:00-07:00",
-          "2010-03-07T18:57:00-07:00",
-          "2010-03-07T18:58:00-07:00",
-          "2010-03-07T18:59:00-07:00",
-          "2010-03-07T19:00:00-07:00",
-          "2010-03-07T19:01:00-07:00",
-          "2010-03-07T19:02:00-07:00",
-          "2010-03-07T19:03:00-07:00",
-          "2010-03-07T19:04:00-07:00",
-          "2010-03-07T19:05:00-07:00",
-          "2010-03-07T19:06:00-07:00",
-          "2010-03-07T19:07:00-07:00",
-          "2010-03-07T19:08:00-07:00",
-          "2010-03-07T19:09:00-07:00",
-          "2010-03-07T19:10:00-07:00",
-          "2010-03-07T19:11:00-07:00",
-          "2010-03-07T19:12:00-07:00",
-          "2010-03-07T19:13:00-07:00",
-          "2010-03-07T19:14:00-07:00",
-          "2010-03-07T19:15:00-07:00",
-          "2010-03-07T19:16:00-07:00",
-          "2010-03-07T19:17:00-07:00",
-          "2010-03-07T19:18:00-07:00",
-          "2010-03-07T19:19:00-07:00",
-          "2010-03-07T19:20:00-07:00",
-          "2010-03-07T19:21:00-07:00",
-          "2010-03-07T19:22:00-07:00",
-          "2010-03-07T19:23:00-07:00",
-          "2010-03-07T19:24:00-07:00",
-          "2010-03-07T19:25:00-07:00",
-          "2010-03-07T19:26:00-07:00",
-          "2010-03-07T19:27:00-07:00",
-          "2010-03-07T19:28:00-07:00",
-          "2010-03-07T19:29:00-07:00",
-          "2010-03-07T19:30:00-07:00",
-          "2010-03-07T19:31:00-07:00",
-          "2010-03-07T19:32:00-07:00",
-          "2010-03-07T19:33:00-07:00",
-          "2010-03-07T19:34:00-07:00",
-          "2010-03-07T19:35:00-07:00",
-          "2010-03-07T19:36:00-07:00",
-          "2010-03-07T19:37:00-07:00",
-          "2010-03-07T19:38:00-07:00",
-          "2010-03-07T19:39:00-07:00",
-          "2010-03-07T19:40:00-07:00",
-          "2010-03-07T19:41:00-07:00",
-          "2010-03-07T19:42:00-07:00",
-          "2010-03-07T19:43:00-07:00",
-          "2010-03-07T19:44:00-07:00",
-          "2010-03-07T19:45:00-07:00",
-          "2010-03-07T19:46:00-07:00",
-          "2010-03-07T19:47:00-07:00",
-          "2010-03-07T19:48:00-07:00",
-          "2010-03-07T19:49:00-07:00",
-          "2010-03-07T19:50:00-07:00",
-          "2010-03-07T19:51:00-07:00",
-          "2010-03-07T19:52:00-07:00",
-          "2010-03-07T19:53:00-07:00",
-          "2010-03-07T19:54:00-07:00",
-          "2010-03-07T19:55:00-07:00",
-          "2010-03-07T19:56:00-07:00",
-          "2010-03-07T19:57:00-07:00",
-          "2010-03-07T19:58:00-07:00",
-          "2010-03-07T19:59:00-07:00",
-          "2010-03-07T20:00:00-07:00",
-          "2010-03-07T20:01:00-07:00",
-          "2010-03-07T20:02:00-07:00",
-          "2010-03-07T20:03:00-07:00",
-          "2010-03-07T20:04:00-07:00",
-          "2010-03-07T20:05:00-07:00",
-          "2010-03-07T20:06:00-07:00",
-          "2010-03-07T20:07:00-07:00",
-          "2010-03-07T20:08:00-07:00",
-          "2010-03-07T20:09:00-07:00",
-          "2010-03-07T20:10:00-07:00",
-          "2010-03-07T20:11:00-07:00",
-          "2010-03-07T20:12:00-07:00",
-          "2010-03-07T20:13:00-07:00",
-          "2010-03-07T20:14:00-07:00",
-          "2010-03-07T20:15:00-07:00",
-          "2010-03-07T20:16:00-07:00",
-          "2010-03-07T20:17:00-07:00",
-          "2010-03-07T20:18:00-07:00",
-          "2010-03-07T20:19:00-07:00",
-          "2010-03-07T20:20:00-07:00",
-          "2010-03-07T20:21:00-07:00",
-          "2010-03-07T20:22:00-07:00",
-          "2010-03-07T20:23:00-07:00",
-          "2010-03-07T20:24:00-07:00",
-          "2010-03-07T20:25:00-07:00",
-          "2010-03-07T20:26:00-07:00",
-          "2010-03-07T20:27:00-07:00",
-          "2010-03-07T20:28:00-07:00",
-          "2010-03-07T20:29:00-07:00",
-          "2010-03-07T20:30:00-07:00",
-          "2010-03-07T20:31:00-07:00",
-          "2010-03-07T20:32:00-07:00",
-          "2010-03-07T20:33:00-07:00",
-          "2010-03-07T20:34:00-07:00",
-          "2010-03-07T20:35:00-07:00",
-          "2010-03-07T20:36:00-07:00",
-          "2010-03-07T20:37:00-07:00",
-          "2010-03-07T20:38:00-07:00",
-          "2010-03-07T20:39:00-07:00",
-          "2010-03-07T20:40:00-07:00",
-          "2010-03-07T20:41:00-07:00",
-          "2010-03-07T20:42:00-07:00",
-          "2010-03-07T20:43:00-07:00",
-          "2010-03-07T20:44:00-07:00",
-          "2010-03-07T20:45:00-07:00",
-          "2010-03-07T20:46:00-07:00",
-          "2010-03-07T20:47:00-07:00",
-          "2010-03-07T20:48:00-07:00",
-          "2010-03-07T20:49:00-07:00",
-          "2010-03-07T20:50:00-07:00",
-          "2010-03-07T20:51:00-07:00",
-          "2010-03-07T20:52:00-07:00",
-          "2010-03-07T20:53:00-07:00",
-          "2010-03-07T20:54:00-07:00",
-          "2010-03-07T20:55:00-07:00",
-          "2010-03-07T20:56:00-07:00",
-          "2010-03-07T20:57:00-07:00",
-          "2010-03-07T20:58:00-07:00",
-          "2010-03-07T20:59:00-07:00",
-          "2010-03-07T21:00:00-07:00",
-          "2010-03-07T21:01:00-07:00",
-          "2010-03-07T21:02:00-07:00",
-          "2010-03-07T21:03:00-07:00",
-          "2010-03-07T21:04:00-07:00",
-          "2010-03-07T21:05:00-07:00",
-          "2010-03-07T21:06:00-07:00",
-          "2010-03-07T21:07:00-07:00",
-          "2010-03-07T21:08:00-07:00",
-          "2010-03-07T21:09:00-07:00",
-          "2010-03-07T21:10:00-07:00",
-          "2010-03-07T21:11:00-07:00",
-          "2010-03-07T21:12:00-07:00",
-          "2010-03-07T21:13:00-07:00",
-          "2010-03-07T21:14:00-07:00",
-          "2010-03-07T21:15:00-07:00",
-          "2010-03-07T21:16:00-07:00",
-          "2010-03-07T21:17:00-07:00",
-          "2010-03-07T21:18:00-07:00",
-          "2010-03-07T21:19:00-07:00",
-          "2010-03-07T21:20:00-07:00",
-          "2010-03-07T21:21:00-07:00",
-          "2010-03-07T21:22:00-07:00",
-          "2010-03-07T21:23:00-07:00",
-          "2010-03-07T21:24:00-07:00",
-          "2010-03-07T21:25:00-07:00",
-          "2010-03-07T21:26:00-07:00",
-          "2010-03-07T21:27:00-07:00",
-          "2010-03-07T21:28:00-07:00",
-          "2010-03-07T21:29:00-07:00",
-          "2010-03-07T21:30:00-07:00",
-          "2010-03-07T21:31:00-07:00",
-          "2010-03-07T21:32:00-07:00",
-          "2010-03-07T21:33:00-07:00",
-          "2010-03-07T21:34:00-07:00",
-          "2010-03-07T21:35:00-07:00",
-          "2010-03-07T21:36:00-07:00",
-          "2010-03-07T21:37:00-07:00",
-          "2010-03-07T21:38:00-07:00",
-          "2010-03-07T21:39:00-07:00",
-          "2010-03-07T21:40:00-07:00",
-          "2010-03-07T21:41:00-07:00",
-          "2010-03-07T21:42:00-07:00",
-          "2010-03-07T21:43:00-07:00",
-          "2010-03-07T21:44:00-07:00",
-          "2010-03-07T21:45:00-07:00",
-          "2010-03-07T21:46:00-07:00",
-          "2010-03-07T21:47:00-07:00",
-          "2010-03-07T21:48:00-07:00",
-          "2010-03-07T21:49:00-07:00",
-          "2010-03-07T21:50:00-07:00",
-          "2010-03-07T21:51:00-07:00",
-          "2010-03-07T21:52:00-07:00",
-          "2010-03-07T21:53:00-07:00",
-          "2010-03-07T21:54:00-07:00",
-          "2010-03-07T21:55:00-07:00",
-          "2010-03-07T21:56:00-07:00",
-          "2010-03-07T21:57:00-07:00",
-          "2010-03-07T21:58:00-07:00",
-          "2010-03-07T21:59:00-07:00",
-          "2010-03-07T22:00:00-07:00",
-          "2010-03-07T22:01:00-07:00",
-          "2010-03-07T22:02:00-07:00",
-          "2010-03-07T22:03:00-07:00",
-          "2010-03-07T22:04:00-07:00",
-          "2010-03-07T22:05:00-07:00",
-          "2010-03-07T22:06:00-07:00",
-          "2010-03-07T22:07:00-07:00",
-          "2010-03-07T22:08:00-07:00",
-          "2010-03-07T22:09:00-07:00",
-          "2010-03-07T22:10:00-07:00",
-          "2010-03-07T22:11:00-07:00",
-          "2010-03-07T22:12:00-07:00",
-          "2010-03-07T22:13:00-07:00",
-          "2010-03-07T22:14:00-07:00",
-          "2010-03-07T22:15:00-07:00",
-          "2010-03-07T22:16:00-07:00",
-          "2010-03-07T22:17:00-07:00",
-          "2010-03-07T22:18:00-07:00",
-          "2010-03-07T22:19:00-07:00",
-          "2010-03-07T22:20:00-07:00",
-          "2010-03-07T22:21:00-07:00",
-          "2010-03-07T22:22:00-07:00",
-          "2010-03-07T22:23:00-07:00",
-          "2010-03-07T22:24:00-07:00",
-          "2010-03-07T22:25:00-07:00",
-          "2010-03-07T22:26:00-07:00",
-          "2010-03-07T22:27:00-07:00",
-          "2010-03-07T22:28:00-07:00",
-          "2010-03-07T22:29:00-07:00",
-          "2010-03-07T22:30:00-07:00",
-          "2010-03-07T22:31:00-07:00",
-          "2010-03-07T22:32:00-07:00",
-          "2010-03-07T22:33:00-07:00",
-          "2010-03-07T22:34:00-07:00",
-          "2010-03-07T22:35:00-07:00",
-          "2010-03-07T22:36:00-07:00",
-          "2010-03-07T22:37:00-07:00",
-          "2010-03-07T22:38:00-07:00",
-          "2010-03-07T22:39:00-07:00",
-          "2010-03-07T22:40:00-07:00",
-          "2010-03-07T22:41:00-07:00",
-          "2010-03-07T22:42:00-07:00",
-          "2010-03-07T22:43:00-07:00",
-          "2010-03-07T22:44:00-07:00",
-          "2010-03-07T22:45:00-07:00",
-          "2010-03-07T22:46:00-07:00",
-          "2010-03-07T22:47:00-07:00",
-          "2010-03-07T22:48:00-07:00",
-          "2010-03-07T22:49:00-07:00",
-          "2010-03-07T22:50:00-07:00",
-          "2010-03-07T22:51:00-07:00",
-          "2010-03-07T22:52:00-07:00",
-          "2010-03-07T22:53:00-07:00",
-          "2010-03-07T22:54:00-07:00",
-          "2010-03-07T22:55:00-07:00",
-          "2010-03-07T22:56:00-07:00",
-          "2010-03-07T22:57:00-07:00",
-          "2010-03-07T22:58:00-07:00",
-          "2010-03-07T22:59:00-07:00",
-          "2010-03-07T23:00:00-07:00",
-          "2010-03-07T23:01:00-07:00",
-          "2010-03-07T23:02:00-07:00",
-          "2010-03-07T23:03:00-07:00",
-          "2010-03-07T23:04:00-07:00",
-          "2010-03-07T23:05:00-07:00",
-          "2010-03-07T23:06:00-07:00",
-          "2010-03-07T23:07:00-07:00",
-          "2010-03-07T23:08:00-07:00",
-          "2010-03-07T23:09:00-07:00",
-          "2010-03-07T23:10:00-07:00",
-          "2010-03-07T23:11:00-07:00",
-          "2010-03-07T23:12:00-07:00",
-          "2010-03-07T23:13:00-07:00",
-          "2010-03-07T23:14:00-07:00",
-          "2010-03-07T23:15:00-07:00",
-          "2010-03-07T23:16:00-07:00",
-          "2010-03-07T23:17:00-07:00",
-          "2010-03-07T23:18:00-07:00",
-          "2010-03-07T23:19:00-07:00",
-          "2010-03-07T23:20:00-07:00",
-          "2010-03-07T23:21:00-07:00",
-          "2010-03-07T23:22:00-07:00",
-          "2010-03-07T23:23:00-07:00",
-          "2010-03-07T23:24:00-07:00",
-          "2010-03-07T23:25:00-07:00",
-          "2010-03-07T23:26:00-07:00",
-          "2010-03-07T23:27:00-07:00",
-          "2010-03-07T23:28:00-07:00",
-          "2010-03-07T23:29:00-07:00",
-          "2010-03-07T23:30:00-07:00",
-          "2010-03-07T23:31:00-07:00",
-          "2010-03-07T23:32:00-07:00",
-          "2010-03-07T23:33:00-07:00",
-          "2010-03-07T23:34:00-07:00",
-          "2010-03-07T23:35:00-07:00",
-          "2010-03-07T23:36:00-07:00",
-          "2010-03-07T23:37:00-07:00",
-          "2010-03-07T23:38:00-07:00",
-          "2010-03-07T23:39:00-07:00",
-          "2010-03-07T23:40:00-07:00",
-          "2010-03-07T23:41:00-07:00",
-          "2010-03-07T23:42:00-07:00",
-          "2010-03-07T23:43:00-07:00",
-          "2010-03-07T23:44:00-07:00",
-          "2010-03-07T23:45:00-07:00",
-          "2010-03-07T23:46:00-07:00",
-          "2010-03-07T23:47:00-07:00",
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{\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"datetime\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"ac_power\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
-       "                            \n",
-       "var gd = document.getElementById('233c9585-0609-4d96-9bd1-5e0684aa312a');\n",
-       "var x = new MutationObserver(function (mutations, observer) {{\n",
-       "        var display = window.getComputedStyle(gd).display;\n",
-       "        if (!display || display === 'none') {{\n",
-       "            console.log([gd, 'removed!']);\n",
-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
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-       "}});\n",
-       "\n",
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-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
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-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
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-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# NBVAL_IGNORE_OUTPUT\n",
-    "rdtools.tune_filter_plot(example_subset['ac_power'], clip_mask_quantile)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
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-          "2010-02-25T17:59:00-07:00",
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-          "2010-02-25T18:31:00-07:00",
-          "2010-02-25T18:32:00-07:00",
-          "2010-02-25T18:33:00-07:00",
-          "2010-02-25T18:34:00-07:00",
-          "2010-02-25T18:35:00-07:00",
-          "2010-02-25T18:36:00-07:00",
-          "2010-02-25T18:37:00-07:00",
-          "2010-02-25T18:38:00-07:00",
-          "2010-02-25T18:39:00-07:00",
-          "2010-02-25T18:40:00-07:00",
-          "2010-02-25T18:41:00-07:00",
-          "2010-02-25T18:42:00-07:00",
-          "2010-02-25T18:43:00-07:00",
-          "2010-02-25T18:44:00-07:00",
-          "2010-02-25T18:45:00-07:00",
-          "2010-02-25T18:46:00-07:00",
-          "2010-02-25T18:47:00-07:00",
-          "2010-02-25T18:48:00-07:00",
-          "2010-02-25T18:49:00-07:00",
-          "2010-02-25T18:50:00-07:00",
-          "2010-02-25T18:51:00-07:00",
-          "2010-02-25T18:52:00-07:00",
-          "2010-02-25T18:53:00-07:00",
-          "2010-02-25T18:54:00-07:00",
-          "2010-02-25T18:55:00-07:00",
-          "2010-02-25T18:56:00-07:00",
-          "2010-02-25T18:57:00-07:00",
-          "2010-02-25T18:58:00-07:00",
-          "2010-02-25T18:59:00-07:00",
-          "2010-02-25T19:00:00-07:00",
-          "2010-02-25T19:01:00-07:00",
-          "2010-02-25T19:02:00-07:00",
-          "2010-02-25T19:03:00-07:00",
-          "2010-02-25T19:04:00-07:00",
-          "2010-02-25T19:05:00-07:00",
-          "2010-02-25T19:06:00-07:00",
-          "2010-02-25T19:07:00-07:00",
-          "2010-02-25T19:08:00-07:00",
-          "2010-02-25T19:09:00-07:00",
-          "2010-02-25T19:10:00-07:00",
-          "2010-02-25T19:11:00-07:00",
-          "2010-02-25T19:12:00-07:00",
-          "2010-02-25T19:13:00-07:00",
-          "2010-02-25T19:14:00-07:00",
-          "2010-02-25T19:15:00-07:00",
-          "2010-02-25T19:16:00-07:00",
-          "2010-02-25T19:17:00-07:00",
-          "2010-02-25T19:18:00-07:00",
-          "2010-02-25T19:19:00-07:00",
-          "2010-02-25T19:20:00-07:00",
-          "2010-02-25T19:21:00-07:00",
-          "2010-02-25T19:22:00-07:00",
-          "2010-02-25T19:23:00-07:00",
-          "2010-02-25T19:24:00-07:00",
-          "2010-02-25T19:25:00-07:00",
-          "2010-02-25T19:26:00-07:00",
-          "2010-02-25T19:27:00-07:00",
-          "2010-02-25T19:28:00-07:00",
-          "2010-02-25T19:29:00-07:00",
-          "2010-02-25T19:30:00-07:00",
-          "2010-02-25T19:31:00-07:00",
-          "2010-02-25T19:32:00-07:00",
-          "2010-02-25T19:33:00-07:00",
-          "2010-02-25T19:34:00-07:00",
-          "2010-02-25T19:35:00-07:00",
-          "2010-02-25T19:36:00-07:00",
-          "2010-02-25T19:37:00-07:00",
-          "2010-02-25T19:38:00-07:00",
-          "2010-02-25T19:39:00-07:00",
-          "2010-02-25T19:40:00-07:00",
-          "2010-02-25T19:41:00-07:00",
-          "2010-02-25T19:42:00-07:00",
-          "2010-02-25T19:43:00-07:00",
-          "2010-02-25T19:44:00-07:00",
-          "2010-02-25T19:45:00-07:00",
-          "2010-02-25T19:46:00-07:00",
-          "2010-02-25T19:47:00-07:00",
-          "2010-02-25T19:48:00-07:00",
-          "2010-02-25T19:49:00-07:00",
-          "2010-02-25T19:50:00-07:00",
-          "2010-02-25T19:51:00-07:00",
-          "2010-02-25T19:52:00-07:00",
-          "2010-02-25T19:53:00-07:00",
-          "2010-02-25T19:54:00-07:00",
-          "2010-02-25T19:55:00-07:00",
-          "2010-02-25T19:56:00-07:00",
-          "2010-02-25T19:57:00-07:00",
-          "2010-02-25T19:58:00-07:00",
-          "2010-02-25T19:59:00-07:00",
-          "2010-02-25T20:00:00-07:00",
-          "2010-02-25T20:01:00-07:00",
-          "2010-02-25T20:02:00-07:00",
-          "2010-02-25T20:03:00-07:00",
-          "2010-02-25T20:04:00-07:00",
-          "2010-02-25T20:05:00-07:00",
-          "2010-02-25T20:06:00-07:00",
-          "2010-02-25T20:07:00-07:00",
-          "2010-02-25T20:08:00-07:00",
-          "2010-02-25T20:09:00-07:00",
-          "2010-02-25T20:10:00-07:00",
-          "2010-02-25T20:11:00-07:00",
-          "2010-02-25T20:12:00-07:00",
-          "2010-02-25T20:13:00-07:00",
-          "2010-02-25T20:14:00-07:00",
-          "2010-02-25T20:15:00-07:00",
-          "2010-02-25T20:16:00-07:00",
-          "2010-02-25T20:17:00-07:00",
-          "2010-02-25T20:18:00-07:00",
-          "2010-02-25T20:19:00-07:00",
-          "2010-02-25T20:20:00-07:00",
-          "2010-02-25T20:21:00-07:00",
-          "2010-02-25T20:22:00-07:00",
-          "2010-02-25T20:23:00-07:00",
-          "2010-02-25T20:24:00-07:00",
-          "2010-02-25T20:25:00-07:00",
-          "2010-02-25T20:26:00-07:00",
-          "2010-02-25T20:27:00-07:00",
-          "2010-02-25T20:28:00-07:00",
-          "2010-02-25T20:29:00-07:00",
-          "2010-02-25T20:30:00-07:00",
-          "2010-02-25T20:31:00-07:00",
-          "2010-02-25T20:32:00-07:00",
-          "2010-02-25T20:33:00-07:00",
-          "2010-02-25T20:34:00-07:00",
-          "2010-02-25T20:35:00-07:00",
-          "2010-02-25T20:36:00-07:00",
-          "2010-02-25T20:37:00-07:00",
-          "2010-02-25T20:38:00-07:00",
-          "2010-02-25T20:39:00-07:00",
-          "2010-02-25T20:40:00-07:00",
-          "2010-02-25T20:41:00-07:00",
-          "2010-02-25T20:42:00-07:00",
-          "2010-02-25T20:43:00-07:00",
-          "2010-02-25T20:44:00-07:00",
-          "2010-02-25T20:45:00-07:00",
-          "2010-02-25T20:46:00-07:00",
-          "2010-02-25T20:47:00-07:00",
-          "2010-02-25T20:48:00-07:00",
-          "2010-02-25T20:49:00-07:00",
-          "2010-02-25T20:50:00-07:00",
-          "2010-02-25T20:51:00-07:00",
-          "2010-02-25T20:52:00-07:00",
-          "2010-02-25T20:53:00-07:00",
-          "2010-02-25T20:54:00-07:00",
-          "2010-02-25T20:55:00-07:00",
-          "2010-02-25T20:56:00-07:00",
-          "2010-02-25T20:57:00-07:00",
-          "2010-02-25T20:58:00-07:00",
-          "2010-02-25T20:59:00-07:00",
-          "2010-02-25T21:00:00-07:00",
-          "2010-02-25T21:01:00-07:00",
-          "2010-02-25T21:02:00-07:00",
-          "2010-02-25T21:03:00-07:00",
-          "2010-02-25T21:04:00-07:00",
-          "2010-02-25T21:05:00-07:00",
-          "2010-02-25T21:06:00-07:00",
-          "2010-02-25T21:07:00-07:00",
-          "2010-02-25T21:08:00-07:00",
-          "2010-02-25T21:09:00-07:00",
-          "2010-02-25T21:10:00-07:00",
-          "2010-02-25T21:11:00-07:00",
-          "2010-02-25T21:12:00-07:00",
-          "2010-02-25T21:13:00-07:00",
-          "2010-02-25T21:14:00-07:00",
-          "2010-02-25T21:15:00-07:00",
-          "2010-02-25T21:16:00-07:00",
-          "2010-02-25T21:17:00-07:00",
-          "2010-02-25T21:18:00-07:00",
-          "2010-02-25T21:19:00-07:00",
-          "2010-02-25T21:20:00-07:00",
-          "2010-02-25T21:21:00-07:00",
-          "2010-02-25T21:22:00-07:00",
-          "2010-02-25T21:23:00-07:00",
-          "2010-02-25T21:24:00-07:00",
-          "2010-02-25T21:25:00-07:00",
-          "2010-02-25T21:26:00-07:00",
-          "2010-02-25T21:27:00-07:00",
-          "2010-02-25T21:28:00-07:00",
-          "2010-02-25T21:29:00-07:00",
-          "2010-02-25T21:30:00-07:00",
-          "2010-02-25T21:31:00-07:00",
-          "2010-02-25T21:32:00-07:00",
-          "2010-02-25T21:33:00-07:00",
-          "2010-02-25T21:34:00-07:00",
-          "2010-02-25T21:35:00-07:00",
-          "2010-02-25T21:36:00-07:00",
-          "2010-02-25T21:37:00-07:00",
-          "2010-02-25T21:38:00-07:00",
-          "2010-02-25T21:39:00-07:00",
-          "2010-02-25T21:40:00-07:00",
-          "2010-02-25T21:41:00-07:00",
-          "2010-02-25T21:42:00-07:00",
-          "2010-02-25T21:43:00-07:00",
-          "2010-02-25T21:44:00-07:00",
-          "2010-02-25T21:45:00-07:00",
-          "2010-02-25T21:46:00-07:00",
-          "2010-02-25T21:47:00-07:00",
-          "2010-02-25T21:48:00-07:00",
-          "2010-02-25T21:49:00-07:00",
-          "2010-02-25T21:50:00-07:00",
-          "2010-02-25T21:51:00-07:00",
-          "2010-02-25T21:52:00-07:00",
-          "2010-02-25T21:53:00-07:00",
-          "2010-02-25T21:54:00-07:00",
-          "2010-02-25T21:55:00-07:00",
-          "2010-02-25T21:56:00-07:00",
-          "2010-02-25T21:57:00-07:00",
-          "2010-02-25T21:58:00-07:00",
-          "2010-02-25T21:59:00-07:00",
-          "2010-02-25T22:00:00-07:00",
-          "2010-02-25T22:01:00-07:00",
-          "2010-02-25T22:02:00-07:00",
-          "2010-02-25T22:03:00-07:00",
-          "2010-02-25T22:04:00-07:00",
-          "2010-02-25T22:05:00-07:00",
-          "2010-02-25T22:06:00-07:00",
-          "2010-02-25T22:07:00-07:00",
-          "2010-02-25T22:08:00-07:00",
-          "2010-02-25T22:09:00-07:00",
-          "2010-02-25T22:10:00-07:00",
-          "2010-02-25T22:11:00-07:00",
-          "2010-02-25T22:12:00-07:00",
-          "2010-02-25T22:13:00-07:00",
-          "2010-02-25T22:14:00-07:00",
-          "2010-02-25T22:15:00-07:00",
-          "2010-02-25T22:16:00-07:00",
-          "2010-02-25T22:17:00-07:00",
-          "2010-02-25T22:18:00-07:00",
-          "2010-02-25T22:19:00-07:00",
-          "2010-02-25T22:20:00-07:00",
-          "2010-02-25T22:21:00-07:00",
-          "2010-02-25T22:22:00-07:00",
-          "2010-02-25T22:23:00-07:00",
-          "2010-02-25T22:24:00-07:00",
-          "2010-02-25T22:25:00-07:00",
-          "2010-02-25T22:26:00-07:00",
-          "2010-02-25T22:27:00-07:00",
-          "2010-02-25T22:28:00-07:00",
-          "2010-02-25T22:29:00-07:00",
-          "2010-02-25T22:30:00-07:00",
-          "2010-02-25T22:31:00-07:00",
-          "2010-02-25T22:32:00-07:00",
-          "2010-02-25T22:33:00-07:00",
-          "2010-02-25T22:34:00-07:00",
-          "2010-02-25T22:35:00-07:00",
-          "2010-02-25T22:36:00-07:00",
-          "2010-02-25T22:37:00-07:00",
-          "2010-02-25T22:38:00-07:00",
-          "2010-02-25T22:39:00-07:00",
-          "2010-02-25T22:40:00-07:00",
-          "2010-02-25T22:41:00-07:00",
-          "2010-02-25T22:42:00-07:00",
-          "2010-02-25T22:43:00-07:00",
-          "2010-02-25T22:44:00-07:00",
-          "2010-02-25T22:45:00-07:00",
-          "2010-02-25T22:46:00-07:00",
-          "2010-02-25T22:47:00-07:00",
-          "2010-02-25T22:48:00-07:00",
-          "2010-02-25T22:49:00-07:00",
-          "2010-02-25T22:50:00-07:00",
-          "2010-02-25T22:51:00-07:00",
-          "2010-02-25T22:52:00-07:00",
-          "2010-02-25T22:53:00-07:00",
-          "2010-02-25T22:54:00-07:00",
-          "2010-02-25T22:55:00-07:00",
-          "2010-02-25T22:56:00-07:00",
-          "2010-02-25T22:57:00-07:00",
-          "2010-02-25T22:58:00-07:00",
-          "2010-02-25T22:59:00-07:00",
-          "2010-02-25T23:00:00-07:00",
-          "2010-02-25T23:01:00-07:00",
-          "2010-02-25T23:02:00-07:00",
-          "2010-02-25T23:03:00-07:00",
-          "2010-02-25T23:04:00-07:00",
-          "2010-02-25T23:05:00-07:00",
-          "2010-02-25T23:06:00-07:00",
-          "2010-02-25T23:07:00-07:00",
-          "2010-02-25T23:08:00-07:00",
-          "2010-02-25T23:09:00-07:00",
-          "2010-02-25T23:10:00-07:00",
-          "2010-02-25T23:11:00-07:00",
-          "2010-02-25T23:12:00-07:00",
-          "2010-02-25T23:13:00-07:00",
-          "2010-02-25T23:14:00-07:00",
-          "2010-02-25T23:15:00-07:00",
-          "2010-02-25T23:16:00-07:00",
-          "2010-02-25T23:17:00-07:00",
-          "2010-02-25T23:18:00-07:00",
-          "2010-02-25T23:19:00-07:00",
-          "2010-02-25T23:20:00-07:00",
-          "2010-02-25T23:21:00-07:00",
-          "2010-02-25T23:22:00-07:00",
-          "2010-02-25T23:23:00-07:00",
-          "2010-02-25T23:24:00-07:00",
-          "2010-02-25T23:25:00-07:00",
-          "2010-02-25T23:26:00-07:00",
-          "2010-02-25T23:27:00-07:00",
-          "2010-02-25T23:28:00-07:00",
-          "2010-02-25T23:29:00-07:00",
-          "2010-02-25T23:30:00-07:00",
-          "2010-02-25T23:31:00-07:00",
-          "2010-02-25T23:32:00-07:00",
-          "2010-02-25T23:33:00-07:00",
-          "2010-02-25T23:34:00-07:00",
-          "2010-02-25T23:35:00-07:00",
-          "2010-02-25T23:36:00-07:00",
-          "2010-02-25T23:37:00-07:00",
-          "2010-02-25T23:38:00-07:00",
-          "2010-02-25T23:39:00-07:00",
-          "2010-02-25T23:40:00-07:00",
-          "2010-02-25T23:41:00-07:00",
-          "2010-02-25T23:42:00-07:00",
-          "2010-02-25T23:43:00-07:00",
-          "2010-02-25T23:44:00-07:00",
-          "2010-02-25T23:45:00-07:00",
-          "2010-02-25T23:46:00-07:00",
-          "2010-02-25T23:47:00-07:00",
-          "2010-02-25T23:48:00-07:00",
-          "2010-02-25T23:49:00-07:00",
-          "2010-02-25T23:50:00-07:00",
-          "2010-02-25T23:51:00-07:00",
-          "2010-02-25T23:52:00-07:00",
-          "2010-02-25T23:53:00-07:00",
-          "2010-02-25T23:54:00-07:00",
-          "2010-02-25T23:55:00-07:00",
-          "2010-02-25T23:56:00-07:00",
-          "2010-02-25T23:57:00-07:00",
-          "2010-02-25T23:58:00-07:00",
-          "2010-02-25T23:59:00-07:00",
-          "2010-02-26T00:00:00-07:00",
-          "2010-02-26T00:01:00-07:00",
-          "2010-02-26T00:02:00-07:00",
-          "2010-02-26T00:03:00-07:00",
-          "2010-02-26T00:04:00-07:00",
-          "2010-02-26T00:05:00-07:00",
-          "2010-02-26T00:06:00-07:00",
-          "2010-02-26T00:07:00-07:00",
-          "2010-02-26T00:08:00-07:00",
-          "2010-02-26T00:09:00-07:00",
-          "2010-02-26T00:10:00-07:00",
-          "2010-02-26T00:11:00-07:00",
-          "2010-02-26T00:12:00-07:00",
-          "2010-02-26T00:13:00-07:00",
-          "2010-02-26T00:14:00-07:00",
-          "2010-02-26T00:15:00-07:00",
-          "2010-02-26T00:16:00-07:00",
-          "2010-02-26T00:17:00-07:00",
-          "2010-02-26T00:18:00-07:00",
-          "2010-02-26T00:19:00-07:00",
-          "2010-02-26T00:20:00-07:00",
-          "2010-02-26T00:21:00-07:00",
-          "2010-02-26T00:22:00-07:00",
-          "2010-02-26T00:23:00-07:00",
-          "2010-02-26T00:24:00-07:00",
-          "2010-02-26T00:25:00-07:00",
-          "2010-02-26T00:26:00-07:00",
-          "2010-02-26T00:27:00-07:00",
-          "2010-02-26T00:28:00-07:00",
-          "2010-02-26T00:29:00-07:00",
-          "2010-02-26T00:30:00-07:00",
-          "2010-02-26T00:31:00-07:00",
-          "2010-02-26T00:32:00-07:00",
-          "2010-02-26T00:33:00-07:00",
-          "2010-02-26T00:34:00-07:00",
-          "2010-02-26T00:35:00-07:00",
-          "2010-02-26T00:36:00-07:00",
-          "2010-02-26T00:37:00-07:00",
-          "2010-02-26T00:38:00-07:00",
-          "2010-02-26T00:39:00-07:00",
-          "2010-02-26T00:40:00-07:00",
-          "2010-02-26T00:41:00-07:00",
-          "2010-02-26T00:42:00-07:00",
-          "2010-02-26T00:43:00-07:00",
-          "2010-02-26T00:44:00-07:00",
-          "2010-02-26T00:45:00-07:00",
-          "2010-02-26T00:46:00-07:00",
-          "2010-02-26T00:47:00-07:00",
-          "2010-02-26T00:48:00-07:00",
-          "2010-02-26T00:49:00-07:00",
-          "2010-02-26T00:50:00-07:00",
-          "2010-02-26T00:51:00-07:00",
-          "2010-02-26T00:52:00-07:00",
-          "2010-02-26T00:53:00-07:00",
-          "2010-02-26T00:54:00-07:00",
-          "2010-02-26T00:55:00-07:00",
-          "2010-02-26T00:56:00-07:00",
-          "2010-02-26T00:57:00-07:00",
-          "2010-02-26T00:58:00-07:00",
-          "2010-02-26T00:59:00-07:00",
-          "2010-02-26T01:00:00-07:00",
-          "2010-02-26T01:01:00-07:00",
-          "2010-02-26T01:02:00-07:00",
-          "2010-02-26T01:03:00-07:00",
-          "2010-02-26T01:04:00-07:00",
-          "2010-02-26T01:05:00-07:00",
-          "2010-02-26T01:06:00-07:00",
-          "2010-02-26T01:07:00-07:00",
-          "2010-02-26T01:08:00-07:00",
-          "2010-02-26T01:09:00-07:00",
-          "2010-02-26T01:10:00-07:00",
-          "2010-02-26T01:11:00-07:00",
-          "2010-02-26T01:12:00-07:00",
-          "2010-02-26T01:13:00-07:00",
-          "2010-02-26T01:14:00-07:00",
-          "2010-02-26T01:15:00-07:00",
-          "2010-02-26T01:16:00-07:00",
-          "2010-02-26T01:17:00-07:00",
-          "2010-02-26T01:18:00-07:00",
-          "2010-02-26T01:19:00-07:00",
-          "2010-02-26T01:20:00-07:00",
-          "2010-02-26T01:21:00-07:00",
-          "2010-02-26T01:22:00-07:00",
-          "2010-02-26T01:23:00-07:00",
-          "2010-02-26T01:24:00-07:00",
-          "2010-02-26T01:25:00-07:00",
-          "2010-02-26T01:26:00-07:00",
-          "2010-02-26T01:27:00-07:00",
-          "2010-02-26T01:28:00-07:00",
-          "2010-02-26T01:29:00-07:00",
-          "2010-02-26T01:30:00-07:00",
-          "2010-02-26T01:31:00-07:00",
-          "2010-02-26T01:32:00-07:00",
-          "2010-02-26T01:33:00-07:00",
-          "2010-02-26T01:34:00-07:00",
-          "2010-02-26T01:35:00-07:00",
-          "2010-02-26T01:36:00-07:00",
-          "2010-02-26T01:37:00-07:00",
-          "2010-02-26T01:38:00-07:00",
-          "2010-02-26T01:39:00-07:00",
-          "2010-02-26T01:40:00-07:00",
-          "2010-02-26T01:41:00-07:00",
-          "2010-02-26T01:42:00-07:00",
-          "2010-02-26T01:43:00-07:00",
-          "2010-02-26T01:44:00-07:00",
-          "2010-02-26T01:45:00-07:00",
-          "2010-02-26T01:46:00-07:00",
-          "2010-02-26T01:47:00-07:00",
-          "2010-02-26T01:48:00-07:00",
-          "2010-02-26T01:49:00-07:00",
-          "2010-02-26T01:50:00-07:00",
-          "2010-02-26T01:51:00-07:00",
-          "2010-02-26T01:52:00-07:00",
-          "2010-02-26T01:53:00-07:00",
-          "2010-02-26T01:54:00-07:00",
-          "2010-02-26T01:55:00-07:00",
-          "2010-02-26T01:56:00-07:00",
-          "2010-02-26T01:57:00-07:00",
-          "2010-02-26T01:58:00-07:00",
-          "2010-02-26T01:59:00-07:00",
-          "2010-02-26T02:00:00-07:00",
-          "2010-02-26T02:01:00-07:00",
-          "2010-02-26T02:02:00-07:00",
-          "2010-02-26T02:03:00-07:00",
-          "2010-02-26T02:04:00-07:00",
-          "2010-02-26T02:05:00-07:00",
-          "2010-02-26T02:06:00-07:00",
-          "2010-02-26T02:07:00-07:00",
-          "2010-02-26T02:08:00-07:00",
-          "2010-02-26T02:09:00-07:00",
-          "2010-02-26T02:10:00-07:00",
-          "2010-02-26T02:11:00-07:00",
-          "2010-02-26T02:12:00-07:00",
-          "2010-02-26T02:13:00-07:00",
-          "2010-02-26T02:14:00-07:00",
-          "2010-02-26T02:15:00-07:00",
-          "2010-02-26T02:16:00-07:00",
-          "2010-02-26T02:17:00-07:00",
-          "2010-02-26T02:18:00-07:00",
-          "2010-02-26T02:19:00-07:00",
-          "2010-02-26T02:20:00-07:00",
-          "2010-02-26T02:21:00-07:00",
-          "2010-02-26T02:22:00-07:00",
-          "2010-02-26T02:23:00-07:00",
-          "2010-02-26T02:24:00-07:00",
-          "2010-02-26T02:25:00-07:00",
-          "2010-02-26T02:26:00-07:00",
-          "2010-02-26T02:27:00-07:00",
-          "2010-02-26T02:28:00-07:00",
-          "2010-02-26T02:29:00-07:00",
-          "2010-02-26T02:30:00-07:00",
-          "2010-02-26T02:31:00-07:00",
-          "2010-02-26T02:32:00-07:00",
-          "2010-02-26T02:33:00-07:00",
-          "2010-02-26T02:34:00-07:00",
-          "2010-02-26T02:35:00-07:00",
-          "2010-02-26T02:36:00-07:00",
-          "2010-02-26T02:37:00-07:00",
-          "2010-02-26T02:38:00-07:00",
-          "2010-02-26T02:39:00-07:00",
-          "2010-02-26T02:40:00-07:00",
-          "2010-02-26T02:41:00-07:00",
-          "2010-02-26T02:42:00-07:00",
-          "2010-02-26T02:43:00-07:00",
-          "2010-02-26T02:44:00-07:00",
-          "2010-02-26T02:45:00-07:00",
-          "2010-02-26T02:46:00-07:00",
-          "2010-02-26T02:47:00-07:00",
-          "2010-02-26T02:48:00-07:00",
-          "2010-02-26T02:49:00-07:00",
-          "2010-02-26T02:50:00-07:00",
-          "2010-02-26T02:51:00-07:00",
-          "2010-02-26T02:52:00-07:00",
-          "2010-02-26T02:53:00-07:00",
-          "2010-02-26T02:54:00-07:00",
-          "2010-02-26T02:55:00-07:00",
-          "2010-02-26T02:56:00-07:00",
-          "2010-02-26T02:57:00-07:00",
-          "2010-02-26T02:58:00-07:00",
-          "2010-02-26T02:59:00-07:00",
-          "2010-02-26T03:00:00-07:00",
-          "2010-02-26T03:01:00-07:00",
-          "2010-02-26T03:02:00-07:00",
-          "2010-02-26T03:03:00-07:00",
-          "2010-02-26T03:04:00-07:00",
-          "2010-02-26T03:05:00-07:00",
-          "2010-02-26T03:06:00-07:00",
-          "2010-02-26T03:07:00-07:00",
-          "2010-02-26T03:08:00-07:00",
-          "2010-02-26T03:09:00-07:00",
-          "2010-02-26T03:10:00-07:00",
-          "2010-02-26T03:11:00-07:00",
-          "2010-02-26T03:12:00-07:00",
-          "2010-02-26T03:13:00-07:00",
-          "2010-02-26T03:14:00-07:00",
-          "2010-02-26T03:15:00-07:00",
-          "2010-02-26T03:16:00-07:00",
-          "2010-02-26T03:17:00-07:00",
-          "2010-02-26T03:18:00-07:00",
-          "2010-02-26T03:19:00-07:00",
-          "2010-02-26T03:20:00-07:00",
-          "2010-02-26T03:21:00-07:00",
-          "2010-02-26T03:22:00-07:00",
-          "2010-02-26T03:23:00-07:00",
-          "2010-02-26T03:24:00-07:00",
-          "2010-02-26T03:25:00-07:00",
-          "2010-02-26T03:26:00-07:00",
-          "2010-02-26T03:27:00-07:00",
-          "2010-02-26T03:28:00-07:00",
-          "2010-02-26T03:29:00-07:00",
-          "2010-02-26T03:30:00-07:00",
-          "2010-02-26T03:31:00-07:00",
-          "2010-02-26T03:32:00-07:00",
-          "2010-02-26T03:33:00-07:00",
-          "2010-02-26T03:34:00-07:00",
-          "2010-02-26T03:35:00-07:00",
-          "2010-02-26T03:36:00-07:00",
-          "2010-02-26T03:37:00-07:00",
-          "2010-02-26T03:38:00-07:00",
-          "2010-02-26T03:39:00-07:00",
-          "2010-02-26T03:40:00-07:00",
-          "2010-02-26T03:41:00-07:00",
-          "2010-02-26T03:42:00-07:00",
-          "2010-02-26T03:43:00-07:00",
-          "2010-02-26T03:44:00-07:00",
-          "2010-02-26T03:45:00-07:00",
-          "2010-02-26T03:46:00-07:00",
-          "2010-02-26T03:47:00-07:00",
-          "2010-02-26T03:48:00-07:00",
-          "2010-02-26T03:49:00-07:00",
-          "2010-02-26T03:50:00-07:00",
-          "2010-02-26T03:51:00-07:00",
-          "2010-02-26T03:52:00-07:00",
-          "2010-02-26T03:53:00-07:00",
-          "2010-02-26T03:54:00-07:00",
-          "2010-02-26T03:55:00-07:00",
-          "2010-02-26T03:56:00-07:00",
-          "2010-02-26T03:57:00-07:00",
-          "2010-02-26T03:58:00-07:00",
-          "2010-02-26T03:59:00-07:00",
-          "2010-02-26T04:00:00-07:00",
-          "2010-02-26T04:01:00-07:00",
-          "2010-02-26T04:02:00-07:00",
-          "2010-02-26T04:03:00-07:00",
-          "2010-02-26T04:04:00-07:00",
-          "2010-02-26T04:05:00-07:00",
-          "2010-02-26T04:06:00-07:00",
-          "2010-02-26T04:07:00-07:00",
-          "2010-02-26T04:08:00-07:00",
-          "2010-02-26T04:09:00-07:00",
-          "2010-02-26T04:10:00-07:00",
-          "2010-02-26T04:11:00-07:00",
-          "2010-02-26T04:12:00-07:00",
-          "2010-02-26T04:13:00-07:00",
-          "2010-02-26T04:14:00-07:00",
-          "2010-02-26T04:15:00-07:00",
-          "2010-02-26T04:16:00-07:00",
-          "2010-02-26T04:17:00-07:00",
-          "2010-02-26T04:18:00-07:00",
-          "2010-02-26T04:19:00-07:00",
-          "2010-02-26T04:20:00-07:00",
-          "2010-02-26T04:21:00-07:00",
-          "2010-02-26T04:22:00-07:00",
-          "2010-02-26T04:23:00-07:00",
-          "2010-02-26T04:24:00-07:00",
-          "2010-02-26T04:25:00-07:00",
-          "2010-02-26T04:26:00-07:00",
-          "2010-02-26T04:27:00-07:00",
-          "2010-02-26T04:28:00-07:00",
-          "2010-02-26T04:29:00-07:00",
-          "2010-02-26T04:30:00-07:00",
-          "2010-02-26T04:31:00-07:00",
-          "2010-02-26T04:32:00-07:00",
-          "2010-02-26T04:33:00-07:00",
-          "2010-02-26T04:34:00-07:00",
-          "2010-02-26T04:35:00-07:00",
-          "2010-02-26T04:36:00-07:00",
-          "2010-02-26T04:37:00-07:00",
-          "2010-02-26T04:38:00-07:00",
-          "2010-02-26T04:39:00-07:00",
-          "2010-02-26T04:40:00-07:00",
-          "2010-02-26T04:41:00-07:00",
-          "2010-02-26T04:42:00-07:00",
-          "2010-02-26T04:43:00-07:00",
-          "2010-02-26T04:44:00-07:00",
-          "2010-02-26T04:45:00-07:00",
-          "2010-02-26T04:46:00-07:00",
-          "2010-02-26T04:47:00-07:00",
-          "2010-02-26T04:48:00-07:00",
-          "2010-02-26T04:49:00-07:00",
-          "2010-02-26T04:50:00-07:00",
-          "2010-02-26T04:51:00-07:00",
-          "2010-02-26T04:52:00-07:00",
-          "2010-02-26T04:53:00-07:00",
-          "2010-02-26T04:54:00-07:00",
-          "2010-02-26T04:55:00-07:00",
-          "2010-02-26T04:56:00-07:00",
-          "2010-02-26T04:57:00-07:00",
-          "2010-02-26T04:58:00-07:00",
-          "2010-02-26T04:59:00-07:00",
-          "2010-02-26T05:00:00-07:00",
-          "2010-02-26T05:01:00-07:00",
-          "2010-02-26T05:02:00-07:00",
-          "2010-02-26T05:03:00-07:00",
-          "2010-02-26T05:04:00-07:00",
-          "2010-02-26T05:05:00-07:00",
-          "2010-02-26T05:06:00-07:00",
-          "2010-02-26T05:07:00-07:00",
-          "2010-02-26T05:08:00-07:00",
-          "2010-02-26T05:09:00-07:00",
-          "2010-02-26T05:10:00-07:00",
-          "2010-02-26T05:11:00-07:00",
-          "2010-02-26T05:12:00-07:00",
-          "2010-02-26T05:13:00-07:00",
-          "2010-02-26T05:14:00-07:00",
-          "2010-02-26T05:15:00-07:00",
-          "2010-02-26T05:16:00-07:00",
-          "2010-02-26T05:17:00-07:00",
-          "2010-02-26T05:18:00-07:00",
-          "2010-02-26T05:19:00-07:00",
-          "2010-02-26T05:20:00-07:00",
-          "2010-02-26T05:21:00-07:00",
-          "2010-02-26T05:22:00-07:00",
-          "2010-02-26T05:23:00-07:00",
-          "2010-02-26T05:24:00-07:00",
-          "2010-02-26T05:25:00-07:00",
-          "2010-02-26T05:26:00-07:00",
-          "2010-02-26T05:27:00-07:00",
-          "2010-02-26T05:28:00-07:00",
-          "2010-02-26T05:29:00-07:00",
-          "2010-02-26T05:30:00-07:00",
-          "2010-02-26T05:31:00-07:00",
-          "2010-02-26T05:32:00-07:00",
-          "2010-02-26T05:33:00-07:00",
-          "2010-02-26T05:34:00-07:00",
-          "2010-02-26T05:35:00-07:00",
-          "2010-02-26T05:36:00-07:00",
-          "2010-02-26T05:37:00-07:00",
-          "2010-02-26T05:38:00-07:00",
-          "2010-02-26T05:39:00-07:00",
-          "2010-02-26T05:40:00-07:00",
-          "2010-02-26T05:41:00-07:00",
-          "2010-02-26T05:42:00-07:00",
-          "2010-02-26T05:43:00-07:00",
-          "2010-02-26T05:44:00-07:00",
-          "2010-02-26T05:45:00-07:00",
-          "2010-02-26T05:46:00-07:00",
-          "2010-02-26T05:47:00-07:00",
-          "2010-02-26T05:48:00-07:00",
-          "2010-02-26T05:49:00-07:00",
-          "2010-02-26T05:50:00-07:00",
-          "2010-02-26T05:51:00-07:00",
-          "2010-02-26T05:52:00-07:00",
-          "2010-02-26T05:53:00-07:00",
-          "2010-02-26T05:54:00-07:00",
-          "2010-02-26T05:55:00-07:00",
-          "2010-02-26T05:56:00-07:00",
-          "2010-02-26T05:57:00-07:00",
-          "2010-02-26T05:58:00-07:00",
-          "2010-02-26T05:59:00-07:00",
-          "2010-02-26T06:00:00-07:00",
-          "2010-02-26T06:01:00-07:00",
-          "2010-02-26T06:02:00-07:00",
-          "2010-02-26T06:03:00-07:00",
-          "2010-02-26T06:04:00-07:00",
-          "2010-02-26T06:05:00-07:00",
-          "2010-02-26T06:06:00-07:00",
-          "2010-02-26T06:07:00-07:00",
-          "2010-02-26T06:08:00-07:00",
-          "2010-02-26T06:09:00-07:00",
-          "2010-02-26T06:10:00-07:00",
-          "2010-02-26T06:11:00-07:00",
-          "2010-02-26T06:12:00-07:00",
-          "2010-02-26T06:13:00-07:00",
-          "2010-02-26T06:14:00-07:00",
-          "2010-02-26T06:15:00-07:00",
-          "2010-02-26T06:16:00-07:00",
-          "2010-02-26T06:17:00-07:00",
-          "2010-02-26T06:18:00-07:00",
-          "2010-02-26T06:19:00-07:00",
-          "2010-02-26T06:20:00-07:00",
-          "2010-02-26T06:21:00-07:00",
-          "2010-02-26T06:22:00-07:00",
-          "2010-02-26T06:23:00-07:00",
-          "2010-02-26T06:24:00-07:00",
-          "2010-02-26T06:25:00-07:00",
-          "2010-02-26T06:26:00-07:00",
-          "2010-02-26T06:27:00-07:00",
-          "2010-02-26T06:28:00-07:00",
-          "2010-02-26T06:29:00-07:00",
-          "2010-02-26T06:30:00-07:00",
-          "2010-02-26T06:31:00-07:00",
-          "2010-02-26T06:32:00-07:00",
-          "2010-02-26T06:33:00-07:00",
-          "2010-02-26T06:34:00-07:00",
-          "2010-02-26T06:35:00-07:00",
-          "2010-02-26T06:36:00-07:00",
-          "2010-02-26T06:37:00-07:00",
-          "2010-02-26T06:38:00-07:00",
-          "2010-02-26T06:39:00-07:00",
-          "2010-02-26T06:40:00-07:00",
-          "2010-02-26T06:41:00-07:00",
-          "2010-02-26T06:42:00-07:00",
-          "2010-02-26T06:43:00-07:00",
-          "2010-02-26T06:44:00-07:00",
-          "2010-02-26T06:45:00-07:00",
-          "2010-02-26T06:46:00-07:00",
-          "2010-02-26T06:47:00-07:00",
-          "2010-02-26T06:48:00-07:00",
-          "2010-02-26T06:49:00-07:00",
-          "2010-02-26T06:50:00-07:00",
-          "2010-02-26T06:51:00-07:00",
-          "2010-02-26T06:52:00-07:00",
-          "2010-02-26T06:53:00-07:00",
-          "2010-02-26T06:54:00-07:00",
-          "2010-02-26T06:55:00-07:00",
-          "2010-02-26T06:56:00-07:00",
-          "2010-02-26T06:57:00-07:00",
-          "2010-02-26T06:58:00-07:00",
-          "2010-02-26T06:59:00-07:00",
-          "2010-02-26T07:00:00-07:00",
-          "2010-02-26T07:01:00-07:00",
-          "2010-02-26T07:02:00-07:00",
-          "2010-02-26T07:03:00-07:00",
-          "2010-02-26T07:04:00-07:00",
-          "2010-02-26T07:05:00-07:00",
-          "2010-02-26T07:06:00-07:00",
-          "2010-02-26T07:07:00-07:00",
-          "2010-02-26T07:08:00-07:00",
-          "2010-02-26T07:09:00-07:00",
-          "2010-02-26T07:10:00-07:00",
-          "2010-02-26T07:11:00-07:00",
-          "2010-02-26T07:12:00-07:00",
-          "2010-02-26T07:13:00-07:00",
-          "2010-02-26T07:14:00-07:00",
-          "2010-02-26T07:15:00-07:00",
-          "2010-02-26T07:16:00-07:00",
-          "2010-02-26T07:17:00-07:00",
-          "2010-02-26T07:18:00-07:00",
-          "2010-02-26T07:19:00-07:00",
-          "2010-02-26T07:20:00-07:00",
-          "2010-02-26T07:21:00-07:00",
-          "2010-02-26T07:22:00-07:00",
-          "2010-02-26T07:23:00-07:00",
-          "2010-02-26T07:24:00-07:00",
-          "2010-02-26T07:25:00-07:00",
-          "2010-02-26T07:26:00-07:00",
-          "2010-02-26T07:27:00-07:00",
-          "2010-02-26T07:28:00-07:00",
-          "2010-02-26T07:29:00-07:00",
-          "2010-02-26T07:30:00-07:00",
-          "2010-02-26T07:31:00-07:00",
-          "2010-02-26T07:32:00-07:00",
-          "2010-02-26T07:33:00-07:00",
-          "2010-02-26T07:34:00-07:00",
-          "2010-02-26T07:35:00-07:00",
-          "2010-02-26T07:36:00-07:00",
-          "2010-02-26T07:37:00-07:00",
-          "2010-02-26T07:38:00-07:00",
-          "2010-02-26T07:39:00-07:00",
-          "2010-02-26T07:40:00-07:00",
-          "2010-02-26T07:41:00-07:00",
-          "2010-02-26T07:42:00-07:00",
-          "2010-02-26T07:43:00-07:00",
-          "2010-02-26T07:44:00-07:00",
-          "2010-02-26T07:45:00-07:00",
-          "2010-02-26T07:46:00-07:00",
-          "2010-02-26T07:47:00-07:00",
-          "2010-02-26T07:48:00-07:00",
-          "2010-02-26T07:49:00-07:00",
-          "2010-02-26T07:50:00-07:00",
-          "2010-02-26T07:51:00-07:00",
-          "2010-02-26T07:52:00-07:00",
-          "2010-02-26T07:53:00-07:00",
-          "2010-02-26T07:54:00-07:00",
-          "2010-02-26T07:55:00-07:00",
-          "2010-02-26T07:56:00-07:00",
-          "2010-02-26T07:57:00-07:00",
-          "2010-02-26T07:58:00-07:00",
-          "2010-02-26T07:59:00-07:00",
-          "2010-02-26T08:00:00-07:00",
-          "2010-02-26T08:01:00-07:00",
-          "2010-02-26T08:02:00-07:00",
-          "2010-02-26T08:03:00-07:00",
-          "2010-02-26T08:04:00-07:00",
-          "2010-02-26T08:05:00-07:00",
-          "2010-02-26T08:06:00-07:00",
-          "2010-02-26T08:07:00-07:00",
-          "2010-02-26T08:08:00-07:00",
-          "2010-02-26T08:09:00-07:00",
-          "2010-02-26T08:10:00-07:00",
-          "2010-02-26T08:11:00-07:00",
-          "2010-02-26T08:12:00-07:00",
-          "2010-02-26T08:13:00-07:00",
-          "2010-02-26T08:14:00-07:00",
-          "2010-02-26T08:15:00-07:00",
-          "2010-02-26T08:16:00-07:00",
-          "2010-02-26T08:17:00-07:00",
-          "2010-02-26T08:18:00-07:00",
-          "2010-02-26T08:19:00-07:00",
-          "2010-02-26T08:20:00-07:00",
-          "2010-02-26T08:21:00-07:00",
-          "2010-02-26T08:22:00-07:00",
-          "2010-02-26T08:23:00-07:00",
-          "2010-02-26T08:24:00-07:00",
-          "2010-02-26T08:25:00-07:00",
-          "2010-02-26T08:26:00-07:00",
-          "2010-02-26T08:27:00-07:00",
-          "2010-02-26T08:28:00-07:00",
-          "2010-02-26T08:29:00-07:00",
-          "2010-02-26T08:30:00-07:00",
-          "2010-02-26T08:31:00-07:00",
-          "2010-02-26T08:32:00-07:00",
-          "2010-02-26T08:33:00-07:00",
-          "2010-02-26T08:34:00-07:00",
-          "2010-02-26T08:35:00-07:00",
-          "2010-02-26T08:36:00-07:00",
-          "2010-02-26T08:37:00-07:00",
-          "2010-02-26T08:38:00-07:00",
-          "2010-02-26T08:39:00-07:00",
-          "2010-02-26T08:40:00-07:00",
-          "2010-02-26T08:41:00-07:00",
-          "2010-02-26T08:42:00-07:00",
-          "2010-02-26T08:43:00-07:00",
-          "2010-02-26T08:44:00-07:00",
-          "2010-02-26T08:45:00-07:00",
-          "2010-02-26T08:46:00-07:00",
-          "2010-02-26T08:47:00-07:00",
-          "2010-02-26T08:48:00-07:00",
-          "2010-02-26T08:49:00-07:00",
-          "2010-02-26T08:50:00-07:00",
-          "2010-02-26T08:51:00-07:00",
-          "2010-02-26T08:52:00-07:00",
-          "2010-02-26T08:53:00-07:00",
-          "2010-02-26T08:54:00-07:00",
-          "2010-02-26T08:55:00-07:00",
-          "2010-02-26T08:56:00-07:00",
-          "2010-02-26T08:57:00-07:00",
-          "2010-02-26T08:58:00-07:00",
-          "2010-02-26T08:59:00-07:00",
-          "2010-02-26T09:00:00-07:00",
-          "2010-02-26T09:01:00-07:00",
-          "2010-02-26T09:02:00-07:00",
-          "2010-02-26T09:03:00-07:00",
-          "2010-02-26T09:04:00-07:00",
-          "2010-02-26T09:05:00-07:00",
-          "2010-02-26T09:06:00-07:00",
-          "2010-02-26T09:07:00-07:00",
-          "2010-02-26T09:08:00-07:00",
-          "2010-02-26T09:09:00-07:00",
-          "2010-02-26T09:10:00-07:00",
-          "2010-02-26T09:11:00-07:00",
-          "2010-02-26T09:12:00-07:00",
-          "2010-02-26T09:13:00-07:00",
-          "2010-02-26T09:14:00-07:00",
-          "2010-02-26T09:15:00-07:00",
-          "2010-02-26T09:16:00-07:00",
-          "2010-02-26T09:17:00-07:00",
-          "2010-02-26T09:18:00-07:00",
-          "2010-02-26T09:19:00-07:00",
-          "2010-02-26T09:20:00-07:00",
-          "2010-02-26T09:21:00-07:00",
-          "2010-02-26T09:22:00-07:00",
-          "2010-02-26T09:23:00-07:00",
-          "2010-02-26T09:24:00-07:00",
-          "2010-02-26T09:25:00-07:00",
-          "2010-02-26T09:26:00-07:00",
-          "2010-02-26T09:27:00-07:00",
-          "2010-02-26T09:28:00-07:00",
-          "2010-02-26T09:29:00-07:00",
-          "2010-02-26T09:30:00-07:00",
-          "2010-02-26T09:31:00-07:00",
-          "2010-02-26T09:32:00-07:00",
-          "2010-02-26T09:33:00-07:00",
-          "2010-02-26T09:34:00-07:00",
-          "2010-02-26T09:35:00-07:00",
-          "2010-02-26T09:36:00-07:00",
-          "2010-02-26T09:37:00-07:00",
-          "2010-02-26T09:38:00-07:00",
-          "2010-02-26T09:39:00-07:00",
-          "2010-02-26T09:40:00-07:00",
-          "2010-02-26T09:41:00-07:00",
-          "2010-02-26T09:42:00-07:00",
-          "2010-02-26T09:43:00-07:00",
-          "2010-02-26T09:44:00-07:00",
-          "2010-02-26T09:45:00-07:00",
-          "2010-02-26T09:46:00-07:00",
-          "2010-02-26T09:47:00-07:00",
-          "2010-02-26T09:48:00-07:00",
-          "2010-02-26T09:49:00-07:00",
-          "2010-02-26T09:50:00-07:00",
-          "2010-02-26T09:51:00-07:00",
-          "2010-02-26T09:52:00-07:00",
-          "2010-02-26T09:53:00-07:00",
-          "2010-02-26T09:54:00-07:00",
-          "2010-02-26T09:55:00-07:00",
-          "2010-02-26T09:56:00-07:00",
-          "2010-02-26T09:57:00-07:00",
-          "2010-02-26T09:58:00-07:00",
-          "2010-02-26T09:59:00-07:00",
-          "2010-02-26T10:00:00-07:00",
-          "2010-02-26T10:07:00-07:00",
-          "2010-02-26T10:09:00-07:00",
-          "2010-02-26T10:10:00-07:00",
-          "2010-02-26T10:11:00-07:00",
-          "2010-02-26T10:13:00-07:00",
-          "2010-02-26T10:15:00-07:00",
-          "2010-02-26T10:16:00-07:00",
-          "2010-02-26T10:17:00-07:00",
-          "2010-02-26T10:18:00-07:00",
-          "2010-02-26T10:19:00-07:00",
-          "2010-02-26T10:20:00-07:00",
-          "2010-02-26T10:31:00-07:00",
-          "2010-02-26T10:32:00-07:00",
-          "2010-02-26T10:36:00-07:00",
-          "2010-02-26T10:37:00-07:00",
-          "2010-02-26T10:39:00-07:00",
-          "2010-02-26T10:42:00-07:00",
-          "2010-02-26T10:43:00-07:00",
-          "2010-02-26T10:44:00-07:00",
-          "2010-02-26T10:45:00-07:00",
-          "2010-02-26T10:47:00-07:00",
-          "2010-02-26T10:49:00-07:00",
-          "2010-02-26T10:50:00-07:00",
-          "2010-02-26T10:52:00-07:00",
-          "2010-02-26T10:53:00-07:00",
-          "2010-02-26T10:54:00-07:00",
-          "2010-02-26T10:55:00-07:00",
-          "2010-02-26T10:56:00-07:00",
-          "2010-02-26T10:57:00-07:00",
-          "2010-02-26T10:59:00-07:00",
-          "2010-02-26T11:01:00-07:00",
-          "2010-02-26T11:02:00-07:00",
-          "2010-02-26T11:03:00-07:00",
-          "2010-02-26T11:04:00-07:00",
-          "2010-02-26T11:05:00-07:00",
-          "2010-02-26T11:06:00-07:00",
-          "2010-02-26T11:07:00-07:00",
-          "2010-02-26T11:08:00-07:00",
-          "2010-02-26T11:09:00-07:00",
-          "2010-02-26T11:11:00-07:00",
-          "2010-02-26T11:12:00-07:00",
-          "2010-02-26T11:14:00-07:00",
-          "2010-02-26T11:17:00-07:00",
-          "2010-02-26T11:18:00-07:00",
-          "2010-02-26T11:19:00-07:00",
-          "2010-02-26T11:20:00-07:00",
-          "2010-02-26T11:21:00-07:00",
-          "2010-02-26T11:23:00-07:00",
-          "2010-02-26T11:24:00-07:00",
-          "2010-02-26T11:25:00-07:00",
-          "2010-02-26T11:28:00-07:00",
-          "2010-02-26T11:32:00-07:00",
-          "2010-02-26T11:33:00-07:00",
-          "2010-02-26T11:34:00-07:00",
-          "2010-02-26T11:35:00-07:00",
-          "2010-02-26T11:37:00-07:00",
-          "2010-02-26T11:39:00-07:00",
-          "2010-02-26T11:40:00-07:00",
-          "2010-02-26T11:42:00-07:00",
-          "2010-02-26T11:43:00-07:00",
-          "2010-02-26T11:44:00-07:00",
-          "2010-02-26T11:45:00-07:00",
-          "2010-02-26T11:47:00-07:00",
-          "2010-02-26T11:48:00-07:00",
-          "2010-02-26T11:53:00-07:00",
-          "2010-02-26T11:58:00-07:00",
-          "2010-02-26T11:59:00-07:00",
-          "2010-02-26T12:00:00-07:00",
-          "2010-02-26T12:01:00-07:00",
-          "2010-02-26T12:02:00-07:00",
-          "2010-02-26T12:05:00-07:00",
-          "2010-02-26T12:06:00-07:00",
-          "2010-02-26T12:09:00-07:00",
-          "2010-02-26T12:10:00-07:00",
-          "2010-02-26T12:11:00-07:00",
-          "2010-02-26T12:12:00-07:00",
-          "2010-02-26T12:16:00-07:00",
-          "2010-02-26T12:17:00-07:00",
-          "2010-02-26T12:20:00-07:00",
-          "2010-02-26T12:29:00-07:00",
-          "2010-02-26T12:30:00-07:00",
-          "2010-02-26T12:33:00-07:00",
-          "2010-02-26T12:35:00-07:00",
-          "2010-02-26T12:42:00-07:00",
-          "2010-02-26T12:46:00-07:00",
-          "2010-02-26T12:47:00-07:00",
-          "2010-02-26T12:49:00-07:00",
-          "2010-02-26T12:51:00-07:00",
-          "2010-02-26T12:53:00-07:00",
-          "2010-02-26T12:57:00-07:00",
-          "2010-02-26T12:59:00-07:00",
-          "2010-02-26T13:00:00-07:00",
-          "2010-02-26T13:01:00-07:00",
-          "2010-02-26T13:02:00-07:00",
-          "2010-02-26T13:03:00-07:00",
-          "2010-02-26T13:08:00-07:00",
-          "2010-02-26T13:09:00-07:00",
-          "2010-02-26T13:12:00-07:00",
-          "2010-02-26T13:15:00-07:00",
-          "2010-02-26T13:17:00-07:00",
-          "2010-02-26T13:19:00-07:00",
-          "2010-02-26T13:21:00-07:00",
-          "2010-02-26T13:22:00-07:00",
-          "2010-02-26T13:24:00-07:00",
-          "2010-02-26T13:25:00-07:00",
-          "2010-02-26T13:26:00-07:00",
-          "2010-02-26T13:28:00-07:00",
-          "2010-02-26T13:30:00-07:00",
-          "2010-02-26T13:38:00-07:00",
-          "2010-02-26T13:40:00-07:00",
-          "2010-02-26T13:43:00-07:00",
-          "2010-02-26T13:44:00-07:00",
-          "2010-02-26T13:47:00-07:00",
-          "2010-02-26T13:49:00-07:00",
-          "2010-02-26T13:50:00-07:00",
-          "2010-02-26T13:52:00-07:00",
-          "2010-02-26T13:53:00-07:00",
-          "2010-02-26T13:54:00-07:00",
-          "2010-02-26T13:57:00-07:00",
-          "2010-02-26T13:58:00-07:00",
-          "2010-02-26T13:59:00-07:00",
-          "2010-02-26T14:00:00-07:00",
-          "2010-02-26T14:01:00-07:00",
-          "2010-02-26T14:02:00-07:00",
-          "2010-02-26T14:03:00-07:00",
-          "2010-02-26T14:04:00-07:00",
-          "2010-02-26T14:05:00-07:00",
-          "2010-02-26T14:06:00-07:00",
-          "2010-02-26T14:07:00-07:00",
-          "2010-02-26T14:09:00-07:00",
-          "2010-02-26T14:10:00-07:00",
-          "2010-02-26T14:11:00-07:00",
-          "2010-02-26T14:12:00-07:00",
-          "2010-02-26T14:14:00-07:00",
-          "2010-02-26T14:15:00-07:00",
-          "2010-02-26T14:16:00-07:00",
-          "2010-02-26T14:17:00-07:00",
-          "2010-02-26T14:20:00-07:00",
-          "2010-02-26T14:24:00-07:00",
-          "2010-02-26T14:25:00-07:00",
-          "2010-02-26T14:26:00-07:00",
-          "2010-02-26T14:27:00-07:00",
-          "2010-02-26T14:28:00-07:00",
-          "2010-02-26T14:29:00-07:00",
-          "2010-02-26T14:30:00-07:00",
-          "2010-02-26T14:31:00-07:00",
-          "2010-02-26T14:32:00-07:00",
-          "2010-02-26T14:33:00-07:00",
-          "2010-02-26T14:34:00-07:00",
-          "2010-02-26T14:35:00-07:00",
-          "2010-02-26T14:36:00-07:00",
-          "2010-02-26T14:37:00-07:00",
-          "2010-02-26T14:38:00-07:00",
-          "2010-02-26T14:39:00-07:00",
-          "2010-02-26T14:40:00-07:00",
-          "2010-02-26T14:41:00-07:00",
-          "2010-02-26T14:42:00-07:00",
-          "2010-02-26T14:43:00-07:00",
-          "2010-02-26T14:44:00-07:00",
-          "2010-02-26T14:45:00-07:00",
-          "2010-02-26T14:46:00-07:00",
-          "2010-02-26T14:47:00-07:00",
-          "2010-02-26T14:48:00-07:00",
-          "2010-02-26T14:49:00-07:00",
-          "2010-02-26T14:50:00-07:00",
-          "2010-02-26T14:51:00-07:00",
-          "2010-02-26T14:52:00-07:00",
-          "2010-02-26T14:53:00-07:00",
-          "2010-02-26T14:54:00-07:00",
-          "2010-02-26T14:55:00-07:00",
-          "2010-02-26T14:56:00-07:00",
-          "2010-02-26T14:57:00-07:00",
-          "2010-02-26T14:58:00-07:00",
-          "2010-02-26T14:59:00-07:00",
-          "2010-02-26T15:00:00-07:00",
-          "2010-02-26T15:01:00-07:00",
-          "2010-02-26T15:02:00-07:00",
-          "2010-02-26T15:03:00-07:00",
-          "2010-02-26T15:04:00-07:00",
-          "2010-02-26T15:05:00-07:00",
-          "2010-02-26T15:06:00-07:00",
-          "2010-02-26T15:07:00-07:00",
-          "2010-02-26T15:08:00-07:00",
-          "2010-02-26T15:09:00-07:00",
-          "2010-02-26T15:10:00-07:00",
-          "2010-02-26T15:11:00-07:00",
-          "2010-02-26T15:12:00-07:00",
-          "2010-02-26T15:13:00-07:00",
-          "2010-02-26T15:14:00-07:00",
-          "2010-02-26T15:15:00-07:00",
-          "2010-02-26T15:16:00-07:00",
-          "2010-02-26T15:17:00-07:00",
-          "2010-02-26T15:18:00-07:00",
-          "2010-02-26T15:19:00-07:00",
-          "2010-02-26T15:20:00-07:00",
-          "2010-02-26T15:21:00-07:00",
-          "2010-02-26T15:22:00-07:00",
-          "2010-02-26T15:23:00-07:00",
-          "2010-02-26T15:24:00-07:00",
-          "2010-02-26T15:25:00-07:00",
-          "2010-02-26T15:26:00-07:00",
-          "2010-02-26T15:27:00-07:00",
-          "2010-02-26T15:28:00-07:00",
-          "2010-02-26T15:29:00-07:00",
-          "2010-02-26T15:30:00-07:00",
-          "2010-02-26T15:31:00-07:00",
-          "2010-02-26T15:32:00-07:00",
-          "2010-02-26T15:33:00-07:00",
-          "2010-02-26T15:34:00-07:00",
-          "2010-02-26T15:35:00-07:00",
-          "2010-02-26T15:36:00-07:00",
-          "2010-02-26T15:37:00-07:00",
-          "2010-02-26T15:38:00-07:00",
-          "2010-02-26T15:39:00-07:00",
-          "2010-02-26T15:40:00-07:00",
-          "2010-02-26T15:41:00-07:00",
-          "2010-02-26T15:42:00-07:00",
-          "2010-02-26T15:43:00-07:00",
-          "2010-02-26T15:44:00-07:00",
-          "2010-02-26T15:45:00-07:00",
-          "2010-02-26T15:46:00-07:00",
-          "2010-02-26T15:47:00-07:00",
-          "2010-02-26T15:48:00-07:00",
-          "2010-02-26T15:49:00-07:00",
-          "2010-02-26T15:50:00-07:00",
-          "2010-02-26T15:51:00-07:00",
-          "2010-02-26T15:52:00-07:00",
-          "2010-02-26T15:53:00-07:00",
-          "2010-02-26T15:54:00-07:00",
-          "2010-02-26T15:55:00-07:00",
-          "2010-02-26T15:56:00-07:00",
-          "2010-02-26T15:57:00-07:00",
-          "2010-02-26T15:58:00-07:00",
-          "2010-02-26T15:59:00-07:00",
-          "2010-02-26T16:00:00-07:00",
-          "2010-02-26T16:01:00-07:00",
-          "2010-02-26T16:02:00-07:00",
-          "2010-02-26T16:03:00-07:00",
-          "2010-02-26T16:04:00-07:00",
-          "2010-02-26T16:05:00-07:00",
-          "2010-02-26T16:06:00-07:00",
-          "2010-02-26T16:07:00-07:00",
-          "2010-02-26T16:08:00-07:00",
-          "2010-02-26T16:09:00-07:00",
-          "2010-02-26T16:10:00-07:00",
-          "2010-02-26T16:11:00-07:00",
-          "2010-02-26T16:12:00-07:00",
-          "2010-02-26T16:13:00-07:00",
-          "2010-02-26T16:14:00-07:00",
-          "2010-02-26T16:15:00-07:00",
-          "2010-02-26T16:16:00-07:00",
-          "2010-02-26T16:17:00-07:00",
-          "2010-02-26T16:18:00-07:00",
-          "2010-02-26T16:19:00-07:00",
-          "2010-02-26T16:20:00-07:00",
-          "2010-02-26T16:21:00-07:00",
-          "2010-02-26T16:22:00-07:00",
-          "2010-02-26T16:23:00-07:00",
-          "2010-02-26T16:24:00-07:00",
-          "2010-02-26T16:25:00-07:00",
-          "2010-02-26T16:26:00-07:00",
-          "2010-02-26T16:27:00-07:00",
-          "2010-02-26T16:28:00-07:00",
-          "2010-02-26T16:29:00-07:00",
-          "2010-02-26T16:30:00-07:00",
-          "2010-02-26T16:31:00-07:00",
-          "2010-02-26T16:32:00-07:00",
-          "2010-02-26T16:33:00-07:00",
-          "2010-02-26T16:34:00-07:00",
-          "2010-02-26T16:35:00-07:00",
-          "2010-02-26T16:36:00-07:00",
-          "2010-02-26T16:37:00-07:00",
-          "2010-02-26T16:38:00-07:00",
-          "2010-02-26T16:39:00-07:00",
-          "2010-02-26T16:40:00-07:00",
-          "2010-02-26T16:41:00-07:00",
-          "2010-02-26T16:42:00-07:00",
-          "2010-02-26T16:43:00-07:00",
-          "2010-02-26T16:44:00-07:00",
-          "2010-02-26T16:45:00-07:00",
-          "2010-02-26T16:46:00-07:00",
-          "2010-02-26T16:47:00-07:00",
-          "2010-02-26T16:48:00-07:00",
-          "2010-02-26T16:49:00-07:00",
-          "2010-02-26T16:50:00-07:00",
-          "2010-02-26T16:51:00-07:00",
-          "2010-02-26T16:52:00-07:00",
-          "2010-02-26T16:53:00-07:00",
-          "2010-02-26T16:54:00-07:00",
-          "2010-02-26T16:55:00-07:00",
-          "2010-02-26T16:56:00-07:00",
-          "2010-02-26T16:57:00-07:00",
-          "2010-02-26T16:58:00-07:00",
-          "2010-02-26T16:59:00-07:00",
-          "2010-02-26T17:00:00-07:00",
-          "2010-02-26T17:01:00-07:00",
-          "2010-02-26T17:02:00-07:00",
-          "2010-02-26T17:03:00-07:00",
-          "2010-02-26T17:04:00-07:00",
-          "2010-02-26T17:05:00-07:00",
-          "2010-02-26T17:06:00-07:00",
-          "2010-02-26T17:07:00-07:00",
-          "2010-02-26T17:08:00-07:00",
-          "2010-02-26T17:09:00-07:00",
-          "2010-02-26T17:10:00-07:00",
-          "2010-02-26T17:11:00-07:00",
-          "2010-02-26T17:12:00-07:00",
-          "2010-02-26T17:13:00-07:00",
-          "2010-02-26T17:14:00-07:00",
-          "2010-02-26T17:15:00-07:00",
-          "2010-02-26T17:16:00-07:00",
-          "2010-02-26T17:17:00-07:00",
-          "2010-02-26T17:18:00-07:00",
-          "2010-02-26T17:19:00-07:00",
-          "2010-02-26T17:20:00-07:00",
-          "2010-02-26T17:21:00-07:00",
-          "2010-02-26T17:22:00-07:00",
-          "2010-02-26T17:23:00-07:00",
-          "2010-02-26T17:24:00-07:00",
-          "2010-02-26T17:25:00-07:00",
-          "2010-02-26T17:26:00-07:00",
-          "2010-02-26T17:27:00-07:00",
-          "2010-02-26T17:28:00-07:00",
-          "2010-02-26T17:29:00-07:00",
-          "2010-02-26T17:30:00-07:00",
-          "2010-02-26T17:31:00-07:00",
-          "2010-02-26T17:32:00-07:00",
-          "2010-02-26T17:33:00-07:00",
-          "2010-02-26T17:34:00-07:00",
-          "2010-02-26T17:35:00-07:00",
-          "2010-02-26T17:36:00-07:00",
-          "2010-02-26T17:37:00-07:00",
-          "2010-02-26T17:38:00-07:00",
-          "2010-02-26T17:39:00-07:00",
-          "2010-02-26T17:40:00-07:00",
-          "2010-02-26T17:41:00-07:00",
-          "2010-02-26T17:42:00-07:00",
-          "2010-02-26T17:43:00-07:00",
-          "2010-02-26T17:44:00-07:00",
-          "2010-02-26T17:45:00-07:00",
-          "2010-02-26T17:46:00-07:00",
-          "2010-02-26T17:47:00-07:00",
-          "2010-02-26T17:48:00-07:00",
-          "2010-02-26T17:49:00-07:00",
-          "2010-02-26T17:50:00-07:00",
-          "2010-02-26T17:51:00-07:00",
-          "2010-02-26T17:52:00-07:00",
-          "2010-02-26T17:53:00-07:00",
-          "2010-02-26T17:54:00-07:00",
-          "2010-02-26T17:55:00-07:00",
-          "2010-02-26T17:56:00-07:00",
-          "2010-02-26T17:57:00-07:00",
-          "2010-02-26T17:58:00-07:00",
-          "2010-02-26T17:59:00-07:00",
-          "2010-02-26T18:00:00-07:00",
-          "2010-02-26T18:01:00-07:00",
-          "2010-02-26T18:02:00-07:00",
-          "2010-02-26T18:03:00-07:00",
-          "2010-02-26T18:04:00-07:00",
-          "2010-02-26T18:05:00-07:00",
-          "2010-02-26T18:06:00-07:00",
-          "2010-02-26T18:07:00-07:00",
-          "2010-02-26T18:08:00-07:00",
-          "2010-02-26T18:09:00-07:00",
-          "2010-02-26T18:10:00-07:00",
-          "2010-02-26T18:11:00-07:00",
-          "2010-02-26T18:12:00-07:00",
-          "2010-02-26T18:13:00-07:00",
-          "2010-02-26T18:14:00-07:00",
-          "2010-02-26T18:15:00-07:00",
-          "2010-02-26T18:16:00-07:00",
-          "2010-02-26T18:17:00-07:00",
-          "2010-02-26T18:18:00-07:00",
-          "2010-02-26T18:19:00-07:00",
-          "2010-02-26T18:20:00-07:00",
-          "2010-02-26T18:21:00-07:00",
-          "2010-02-26T18:22:00-07:00",
-          "2010-02-26T18:23:00-07:00",
-          "2010-02-26T18:24:00-07:00",
-          "2010-02-26T18:25:00-07:00",
-          "2010-02-26T18:26:00-07:00",
-          "2010-02-26T18:27:00-07:00",
-          "2010-02-26T18:28:00-07:00",
-          "2010-02-26T18:29:00-07:00",
-          "2010-02-26T18:30:00-07:00",
-          "2010-02-26T18:31:00-07:00",
-          "2010-02-26T18:32:00-07:00",
-          "2010-02-26T18:33:00-07:00",
-          "2010-02-26T18:34:00-07:00",
-          "2010-02-26T18:35:00-07:00",
-          "2010-02-26T18:36:00-07:00",
-          "2010-02-26T18:37:00-07:00",
-          "2010-02-26T18:38:00-07:00",
-          "2010-02-26T18:39:00-07:00",
-          "2010-02-26T18:40:00-07:00",
-          "2010-02-26T18:41:00-07:00",
-          "2010-02-26T18:42:00-07:00",
-          "2010-02-26T18:43:00-07:00",
-          "2010-02-26T18:44:00-07:00",
-          "2010-02-26T18:45:00-07:00",
-          "2010-02-26T18:46:00-07:00",
-          "2010-02-26T18:47:00-07:00",
-          "2010-02-26T18:48:00-07:00",
-          "2010-02-26T18:49:00-07:00",
-          "2010-02-26T18:50:00-07:00",
-          "2010-02-26T18:51:00-07:00",
-          "2010-02-26T18:52:00-07:00",
-          "2010-02-26T18:53:00-07:00",
-          "2010-02-26T18:54:00-07:00",
-          "2010-02-26T18:55:00-07:00",
-          "2010-02-26T18:56:00-07:00",
-          "2010-02-26T18:57:00-07:00",
-          "2010-02-26T18:58:00-07:00",
-          "2010-02-26T18:59:00-07:00",
-          "2010-02-26T19:00:00-07:00",
-          "2010-02-26T19:01:00-07:00",
-          "2010-02-26T19:02:00-07:00",
-          "2010-02-26T19:03:00-07:00",
-          "2010-02-26T19:04:00-07:00",
-          "2010-02-26T19:05:00-07:00",
-          "2010-02-26T19:06:00-07:00",
-          "2010-02-26T19:07:00-07:00",
-          "2010-02-26T19:08:00-07:00",
-          "2010-02-26T19:09:00-07:00",
-          "2010-02-26T19:10:00-07:00",
-          "2010-02-26T19:11:00-07:00",
-          "2010-02-26T19:12:00-07:00",
-          "2010-02-26T19:13:00-07:00",
-          "2010-02-26T19:14:00-07:00",
-          "2010-02-26T19:15:00-07:00",
-          "2010-02-26T19:16:00-07:00",
-          "2010-02-26T19:17:00-07:00",
-          "2010-02-26T19:18:00-07:00",
-          "2010-02-26T19:19:00-07:00",
-          "2010-02-26T19:20:00-07:00",
-          "2010-02-26T19:21:00-07:00",
-          "2010-02-26T19:22:00-07:00",
-          "2010-02-26T19:23:00-07:00",
-          "2010-02-26T19:24:00-07:00",
-          "2010-02-26T19:25:00-07:00",
-          "2010-02-26T19:26:00-07:00",
-          "2010-02-26T19:27:00-07:00",
-          "2010-02-26T19:28:00-07:00",
-          "2010-02-26T19:29:00-07:00",
-          "2010-02-26T19:30:00-07:00",
-          "2010-02-26T19:31:00-07:00",
-          "2010-02-26T19:32:00-07:00",
-          "2010-02-26T19:33:00-07:00",
-          "2010-02-26T19:34:00-07:00",
-          "2010-02-26T19:35:00-07:00",
-          "2010-02-26T19:36:00-07:00",
-          "2010-02-26T19:37:00-07:00",
-          "2010-02-26T19:38:00-07:00",
-          "2010-02-26T19:39:00-07:00",
-          "2010-02-26T19:40:00-07:00",
-          "2010-02-26T19:41:00-07:00",
-          "2010-02-26T19:42:00-07:00",
-          "2010-02-26T19:43:00-07:00",
-          "2010-02-26T19:44:00-07:00",
-          "2010-02-26T19:45:00-07:00",
-          "2010-02-26T19:46:00-07:00",
-          "2010-02-26T19:47:00-07:00",
-          "2010-02-26T19:48:00-07:00",
-          "2010-02-26T19:49:00-07:00",
-          "2010-02-26T19:50:00-07:00",
-          "2010-02-26T19:51:00-07:00",
-          "2010-02-26T19:52:00-07:00",
-          "2010-02-26T19:53:00-07:00",
-          "2010-02-26T19:54:00-07:00",
-          "2010-02-26T19:55:00-07:00",
-          "2010-02-26T19:56:00-07:00",
-          "2010-02-26T19:57:00-07:00",
-          "2010-02-26T19:58:00-07:00",
-          "2010-02-26T19:59:00-07:00",
-          "2010-02-26T20:00:00-07:00",
-          "2010-02-26T20:01:00-07:00",
-          "2010-02-26T20:02:00-07:00",
-          "2010-02-26T20:03:00-07:00",
-          "2010-02-26T20:04:00-07:00",
-          "2010-02-26T20:05:00-07:00",
-          "2010-02-26T20:06:00-07:00",
-          "2010-02-26T20:07:00-07:00",
-          "2010-02-26T20:08:00-07:00",
-          "2010-02-26T20:09:00-07:00",
-          "2010-02-26T20:10:00-07:00",
-          "2010-02-26T20:11:00-07:00",
-          "2010-02-26T20:12:00-07:00",
-          "2010-02-26T20:13:00-07:00",
-          "2010-02-26T20:14:00-07:00",
-          "2010-02-26T20:15:00-07:00",
-          "2010-02-26T20:16:00-07:00",
-          "2010-02-26T20:17:00-07:00",
-          "2010-02-26T20:18:00-07:00",
-          "2010-02-26T20:19:00-07:00",
-          "2010-02-26T20:20:00-07:00",
-          "2010-02-26T20:21:00-07:00",
-          "2010-02-26T20:22:00-07:00",
-          "2010-02-26T20:23:00-07:00",
-          "2010-02-26T20:24:00-07:00",
-          "2010-02-26T20:25:00-07:00",
-          "2010-02-26T20:26:00-07:00",
-          "2010-02-26T20:27:00-07:00",
-          "2010-02-26T20:28:00-07:00",
-          "2010-02-26T20:29:00-07:00",
-          "2010-02-26T20:30:00-07:00",
-          "2010-02-26T20:31:00-07:00",
-          "2010-02-26T20:32:00-07:00",
-          "2010-02-26T20:33:00-07:00",
-          "2010-02-26T20:34:00-07:00",
-          "2010-02-26T20:35:00-07:00",
-          "2010-02-26T20:36:00-07:00",
-          "2010-02-26T20:37:00-07:00",
-          "2010-02-26T20:38:00-07:00",
-          "2010-02-26T20:39:00-07:00",
-          "2010-02-26T20:40:00-07:00",
-          "2010-02-26T20:41:00-07:00",
-          "2010-02-26T20:42:00-07:00",
-          "2010-02-26T20:43:00-07:00",
-          "2010-02-26T20:44:00-07:00",
-          "2010-02-26T20:45:00-07:00",
-          "2010-02-26T20:46:00-07:00",
-          "2010-02-26T20:47:00-07:00",
-          "2010-02-26T20:48:00-07:00",
-          "2010-02-26T20:49:00-07:00",
-          "2010-02-26T20:50:00-07:00",
-          "2010-02-26T20:51:00-07:00",
-          "2010-02-26T20:52:00-07:00",
-          "2010-02-26T20:53:00-07:00",
-          "2010-02-26T20:54:00-07:00",
-          "2010-02-26T20:55:00-07:00",
-          "2010-02-26T20:56:00-07:00",
-          "2010-02-26T20:57:00-07:00",
-          "2010-02-26T20:58:00-07:00",
-          "2010-02-26T20:59:00-07:00",
-          "2010-02-26T21:00:00-07:00",
-          "2010-02-26T21:01:00-07:00",
-          "2010-02-26T21:02:00-07:00",
-          "2010-02-26T21:03:00-07:00",
-          "2010-02-26T21:04:00-07:00",
-          "2010-02-26T21:05:00-07:00",
-          "2010-02-26T21:06:00-07:00",
-          "2010-02-26T21:07:00-07:00",
-          "2010-02-26T21:08:00-07:00",
-          "2010-02-26T21:09:00-07:00",
-          "2010-02-26T21:10:00-07:00",
-          "2010-02-26T21:11:00-07:00",
-          "2010-02-26T21:12:00-07:00",
-          "2010-02-26T21:13:00-07:00",
-          "2010-02-26T21:14:00-07:00",
-          "2010-02-26T21:15:00-07:00",
-          "2010-02-26T21:16:00-07:00",
-          "2010-02-26T21:17:00-07:00",
-          "2010-02-26T21:18:00-07:00",
-          "2010-02-26T21:19:00-07:00",
-          "2010-02-26T21:20:00-07:00",
-          "2010-02-26T21:21:00-07:00",
-          "2010-02-26T21:22:00-07:00",
-          "2010-02-26T21:23:00-07:00",
-          "2010-02-26T21:24:00-07:00",
-          "2010-02-26T21:25:00-07:00",
-          "2010-02-26T21:26:00-07:00",
-          "2010-02-26T21:27:00-07:00",
-          "2010-02-26T21:28:00-07:00",
-          "2010-02-26T21:29:00-07:00",
-          "2010-02-26T21:30:00-07:00",
-          "2010-02-26T21:31:00-07:00",
-          "2010-02-26T21:32:00-07:00",
-          "2010-02-26T21:33:00-07:00",
-          "2010-02-26T21:34:00-07:00",
-          "2010-02-26T21:35:00-07:00",
-          "2010-02-26T21:36:00-07:00",
-          "2010-02-26T21:37:00-07:00",
-          "2010-02-26T21:38:00-07:00",
-          "2010-02-26T21:39:00-07:00",
-          "2010-02-26T21:40:00-07:00",
-          "2010-02-26T21:41:00-07:00",
-          "2010-02-26T21:42:00-07:00",
-          "2010-02-26T21:43:00-07:00",
-          "2010-02-26T21:44:00-07:00",
-          "2010-02-26T21:45:00-07:00",
-          "2010-02-26T21:46:00-07:00",
-          "2010-02-26T21:47:00-07:00",
-          "2010-02-26T21:48:00-07:00",
-          "2010-02-26T21:49:00-07:00",
-          "2010-02-26T21:50:00-07:00",
-          "2010-02-26T21:51:00-07:00",
-          "2010-02-26T21:52:00-07:00",
-          "2010-02-26T21:53:00-07:00",
-          "2010-02-26T21:54:00-07:00",
-          "2010-02-26T21:55:00-07:00",
-          "2010-02-26T21:56:00-07:00",
-          "2010-02-26T21:57:00-07:00",
-          "2010-02-26T21:58:00-07:00",
-          "2010-02-26T21:59:00-07:00",
-          "2010-02-26T22:00:00-07:00",
-          "2010-02-26T22:01:00-07:00",
-          "2010-02-26T22:02:00-07:00",
-          "2010-02-26T22:03:00-07:00",
-          "2010-02-26T22:04:00-07:00",
-          "2010-02-26T22:05:00-07:00",
-          "2010-02-26T22:06:00-07:00",
-          "2010-02-26T22:07:00-07:00",
-          "2010-02-26T22:08:00-07:00",
-          "2010-02-26T22:09:00-07:00",
-          "2010-02-26T22:10:00-07:00",
-          "2010-02-26T22:11:00-07:00",
-          "2010-02-26T22:12:00-07:00",
-          "2010-02-26T22:13:00-07:00",
-          "2010-02-26T22:14:00-07:00",
-          "2010-02-26T22:15:00-07:00",
-          "2010-02-26T22:16:00-07:00",
-          "2010-02-26T22:17:00-07:00",
-          "2010-02-26T22:18:00-07:00",
-          "2010-02-26T22:19:00-07:00",
-          "2010-02-26T22:20:00-07:00",
-          "2010-02-26T22:21:00-07:00",
-          "2010-02-26T22:22:00-07:00",
-          "2010-02-26T22:23:00-07:00",
-          "2010-02-26T22:24:00-07:00",
-          "2010-02-26T22:25:00-07:00",
-          "2010-02-26T22:26:00-07:00",
-          "2010-02-26T22:27:00-07:00",
-          "2010-02-26T22:28:00-07:00",
-          "2010-02-26T22:29:00-07:00",
-          "2010-02-26T22:30:00-07:00",
-          "2010-02-26T22:31:00-07:00",
-          "2010-02-26T22:32:00-07:00",
-          "2010-02-26T22:33:00-07:00",
-          "2010-02-26T22:34:00-07:00",
-          "2010-02-26T22:35:00-07:00",
-          "2010-02-26T22:36:00-07:00",
-          "2010-02-26T22:37:00-07:00",
-          "2010-02-26T22:38:00-07:00",
-          "2010-02-26T22:39:00-07:00",
-          "2010-02-26T22:40:00-07:00",
-          "2010-02-26T22:41:00-07:00",
-          "2010-02-26T22:42:00-07:00",
-          "2010-02-26T22:43:00-07:00",
-          "2010-02-26T22:44:00-07:00",
-          "2010-02-26T22:45:00-07:00",
-          "2010-02-26T22:46:00-07:00",
-          "2010-02-26T22:47:00-07:00",
-          "2010-02-26T22:48:00-07:00",
-          "2010-02-26T22:49:00-07:00",
-          "2010-02-26T22:50:00-07:00",
-          "2010-02-26T22:51:00-07:00",
-          "2010-02-26T22:52:00-07:00",
-          "2010-02-26T22:53:00-07:00",
-          "2010-02-26T22:54:00-07:00",
-          "2010-02-26T22:55:00-07:00",
-          "2010-02-26T22:56:00-07:00",
-          "2010-02-26T22:57:00-07:00",
-          "2010-02-26T22:58:00-07:00",
-          "2010-02-26T22:59:00-07:00",
-          "2010-02-26T23:00:00-07:00",
-          "2010-02-26T23:01:00-07:00",
-          "2010-02-26T23:02:00-07:00",
-          "2010-02-26T23:03:00-07:00",
-          "2010-02-26T23:04:00-07:00",
-          "2010-02-26T23:05:00-07:00",
-          "2010-02-26T23:06:00-07:00",
-          "2010-02-26T23:07:00-07:00",
-          "2010-02-26T23:08:00-07:00",
-          "2010-02-26T23:09:00-07:00",
-          "2010-02-26T23:10:00-07:00",
-          "2010-02-26T23:11:00-07:00",
-          "2010-02-26T23:12:00-07:00",
-          "2010-02-26T23:13:00-07:00",
-          "2010-02-26T23:14:00-07:00",
-          "2010-02-26T23:15:00-07:00",
-          "2010-02-26T23:16:00-07:00",
-          "2010-02-26T23:17:00-07:00",
-          "2010-02-26T23:18:00-07:00",
-          "2010-02-26T23:19:00-07:00",
-          "2010-02-26T23:20:00-07:00",
-          "2010-02-26T23:21:00-07:00",
-          "2010-02-26T23:22:00-07:00",
-          "2010-02-26T23:23:00-07:00",
-          "2010-02-26T23:24:00-07:00",
-          "2010-02-26T23:25:00-07:00",
-          "2010-02-26T23:26:00-07:00",
-          "2010-02-26T23:27:00-07:00",
-          "2010-02-26T23:28:00-07:00",
-          "2010-02-26T23:29:00-07:00",
-          "2010-02-26T23:30:00-07:00",
-          "2010-02-26T23:31:00-07:00",
-          "2010-02-26T23:32:00-07:00",
-          "2010-02-26T23:33:00-07:00",
-          "2010-02-26T23:34:00-07:00",
-          "2010-02-26T23:35:00-07:00",
-          "2010-02-26T23:36:00-07:00",
-          "2010-02-26T23:37:00-07:00",
-          "2010-02-26T23:38:00-07:00",
-          "2010-02-26T23:39:00-07:00",
-          "2010-02-26T23:40:00-07:00",
-          "2010-02-26T23:41:00-07:00",
-          "2010-02-26T23:42:00-07:00",
-          "2010-02-26T23:43:00-07:00",
-          "2010-02-26T23:44:00-07:00",
-          "2010-02-26T23:45:00-07:00",
-          "2010-02-26T23:46:00-07:00",
-          "2010-02-26T23:47:00-07:00",
-          "2010-02-26T23:48:00-07:00",
-          "2010-02-26T23:49:00-07:00",
-          "2010-02-26T23:50:00-07:00",
-          "2010-02-26T23:51:00-07:00",
-          "2010-02-26T23:52:00-07:00",
-          "2010-02-26T23:53:00-07:00",
-          "2010-02-26T23:54:00-07:00",
-          "2010-02-26T23:55:00-07:00",
-          "2010-02-26T23:56:00-07:00",
-          "2010-02-26T23:57:00-07:00",
-          "2010-02-26T23:58:00-07:00",
-          "2010-02-26T23:59:00-07:00",
-          "2010-02-27T00:00:00-07:00",
-          "2010-02-27T00:01:00-07:00",
-          "2010-02-27T00:02:00-07:00",
-          "2010-02-27T00:03:00-07:00",
-          "2010-02-27T00:04:00-07:00",
-          "2010-02-27T00:05:00-07:00",
-          "2010-02-27T00:06:00-07:00",
-          "2010-02-27T00:07:00-07:00",
-          "2010-02-27T00:08:00-07:00",
-          "2010-02-27T00:09:00-07:00",
-          "2010-02-27T00:10:00-07:00",
-          "2010-02-27T00:11:00-07:00",
-          "2010-02-27T00:12:00-07:00",
-          "2010-02-27T00:13:00-07:00",
-          "2010-02-27T00:14:00-07:00",
-          "2010-02-27T00:15:00-07:00",
-          "2010-02-27T00:16:00-07:00",
-          "2010-02-27T00:17:00-07:00",
-          "2010-02-27T00:18:00-07:00",
-          "2010-02-27T00:19:00-07:00",
-          "2010-02-27T00:20:00-07:00",
-          "2010-02-27T00:21:00-07:00",
-          "2010-02-27T00:22:00-07:00",
-          "2010-02-27T00:23:00-07:00",
-          "2010-02-27T00:24:00-07:00",
-          "2010-02-27T00:25:00-07:00",
-          "2010-02-27T00:26:00-07:00",
-          "2010-02-27T00:27:00-07:00",
-          "2010-02-27T00:28:00-07:00",
-          "2010-02-27T00:29:00-07:00",
-          "2010-02-27T00:30:00-07:00",
-          "2010-02-27T00:31:00-07:00",
-          "2010-02-27T00:32:00-07:00",
-          "2010-02-27T00:33:00-07:00",
-          "2010-02-27T00:34:00-07:00",
-          "2010-02-27T00:35:00-07:00",
-          "2010-02-27T00:36:00-07:00",
-          "2010-02-27T00:37:00-07:00",
-          "2010-02-27T00:38:00-07:00",
-          "2010-02-27T00:39:00-07:00",
-          "2010-02-27T00:40:00-07:00",
-          "2010-02-27T00:41:00-07:00",
-          "2010-02-27T00:42:00-07:00",
-          "2010-02-27T00:43:00-07:00",
-          "2010-02-27T00:44:00-07:00",
-          "2010-02-27T00:45:00-07:00",
-          "2010-02-27T00:46:00-07:00",
-          "2010-02-27T00:47:00-07:00",
-          "2010-02-27T00:48:00-07:00",
-          "2010-02-27T00:49:00-07:00",
-          "2010-02-27T00:50:00-07:00",
-          "2010-02-27T00:51:00-07:00",
-          "2010-02-27T00:52:00-07:00",
-          "2010-02-27T00:53:00-07:00",
-          "2010-02-27T00:54:00-07:00",
-          "2010-02-27T00:55:00-07:00",
-          "2010-02-27T00:56:00-07:00",
-          "2010-02-27T00:57:00-07:00",
-          "2010-02-27T00:58:00-07:00",
-          "2010-02-27T00:59:00-07:00",
-          "2010-02-27T01:00:00-07:00",
-          "2010-02-27T01:01:00-07:00",
-          "2010-02-27T01:02:00-07:00",
-          "2010-02-27T01:03:00-07:00",
-          "2010-02-27T01:04:00-07:00",
-          "2010-02-27T01:05:00-07:00",
-          "2010-02-27T01:06:00-07:00",
-          "2010-02-27T01:07:00-07:00",
-          "2010-02-27T01:08:00-07:00",
-          "2010-02-27T01:09:00-07:00",
-          "2010-02-27T01:10:00-07:00",
-          "2010-02-27T01:11:00-07:00",
-          "2010-02-27T01:12:00-07:00",
-          "2010-02-27T01:13:00-07:00",
-          "2010-02-27T01:14:00-07:00",
-          "2010-02-27T01:15:00-07:00",
-          "2010-02-27T01:16:00-07:00",
-          "2010-02-27T01:17:00-07:00",
-          "2010-02-27T01:18:00-07:00",
-          "2010-02-27T01:19:00-07:00",
-          "2010-02-27T01:20:00-07:00",
-          "2010-02-27T01:21:00-07:00",
-          "2010-02-27T01:22:00-07:00",
-          "2010-02-27T01:23:00-07:00",
-          "2010-02-27T01:24:00-07:00",
-          "2010-02-27T01:25:00-07:00",
-          "2010-02-27T01:26:00-07:00",
-          "2010-02-27T01:27:00-07:00",
-          "2010-02-27T01:28:00-07:00",
-          "2010-02-27T01:29:00-07:00",
-          "2010-02-27T01:30:00-07:00",
-          "2010-02-27T01:31:00-07:00",
-          "2010-02-27T01:32:00-07:00",
-          "2010-02-27T01:33:00-07:00",
-          "2010-02-27T01:34:00-07:00",
-          "2010-02-27T01:35:00-07:00",
-          "2010-02-27T01:36:00-07:00",
-          "2010-02-27T01:37:00-07:00",
-          "2010-02-27T01:38:00-07:00",
-          "2010-02-27T01:39:00-07:00",
-          "2010-02-27T01:40:00-07:00",
-          "2010-02-27T01:41:00-07:00",
-          "2010-02-27T01:42:00-07:00",
-          "2010-02-27T01:43:00-07:00",
-          "2010-02-27T01:44:00-07:00",
-          "2010-02-27T01:45:00-07:00",
-          "2010-02-27T01:46:00-07:00",
-          "2010-02-27T01:47:00-07:00",
-          "2010-02-27T01:48:00-07:00",
-          "2010-02-27T01:49:00-07:00",
-          "2010-02-27T01:50:00-07:00",
-          "2010-02-27T01:51:00-07:00",
-          "2010-02-27T01:52:00-07:00",
-          "2010-02-27T01:53:00-07:00",
-          "2010-02-27T01:54:00-07:00",
-          "2010-02-27T01:55:00-07:00",
-          "2010-02-27T01:56:00-07:00",
-          "2010-02-27T01:57:00-07:00",
-          "2010-02-27T01:58:00-07:00",
-          "2010-02-27T01:59:00-07:00",
-          "2010-02-27T02:00:00-07:00",
-          "2010-02-27T02:01:00-07:00",
-          "2010-02-27T02:02:00-07:00",
-          "2010-02-27T02:03:00-07:00",
-          "2010-02-27T02:04:00-07:00",
-          "2010-02-27T02:05:00-07:00",
-          "2010-02-27T02:06:00-07:00",
-          "2010-02-27T02:07:00-07:00",
-          "2010-02-27T02:08:00-07:00",
-          "2010-02-27T02:09:00-07:00",
-          "2010-02-27T02:10:00-07:00",
-          "2010-02-27T02:11:00-07:00",
-          "2010-02-27T02:12:00-07:00",
-          "2010-02-27T02:13:00-07:00",
-          "2010-02-27T02:14:00-07:00",
-          "2010-02-27T02:15:00-07:00",
-          "2010-02-27T02:16:00-07:00",
-          "2010-02-27T02:17:00-07:00",
-          "2010-02-27T02:18:00-07:00",
-          "2010-02-27T02:19:00-07:00",
-          "2010-02-27T02:20:00-07:00",
-          "2010-02-27T02:21:00-07:00",
-          "2010-02-27T02:22:00-07:00",
-          "2010-02-27T02:23:00-07:00",
-          "2010-02-27T02:24:00-07:00",
-          "2010-02-27T02:25:00-07:00",
-          "2010-02-27T02:26:00-07:00",
-          "2010-02-27T02:27:00-07:00",
-          "2010-02-27T02:28:00-07:00",
-          "2010-02-27T02:29:00-07:00",
-          "2010-02-27T02:30:00-07:00",
-          "2010-02-27T02:31:00-07:00",
-          "2010-02-27T02:32:00-07:00",
-          "2010-02-27T02:33:00-07:00",
-          "2010-02-27T02:34:00-07:00",
-          "2010-02-27T02:35:00-07:00",
-          "2010-02-27T02:36:00-07:00",
-          "2010-02-27T02:37:00-07:00",
-          "2010-02-27T02:38:00-07:00",
-          "2010-02-27T02:39:00-07:00",
-          "2010-02-27T02:40:00-07:00",
-          "2010-02-27T02:41:00-07:00",
-          "2010-02-27T02:42:00-07:00",
-          "2010-02-27T02:43:00-07:00",
-          "2010-02-27T02:44:00-07:00",
-          "2010-02-27T02:45:00-07:00",
-          "2010-02-27T02:46:00-07:00",
-          "2010-02-27T02:47:00-07:00",
-          "2010-02-27T02:48:00-07:00",
-          "2010-02-27T02:49:00-07:00",
-          "2010-02-27T02:50:00-07:00",
-          "2010-02-27T02:51:00-07:00",
-          "2010-02-27T02:52:00-07:00",
-          "2010-02-27T02:53:00-07:00",
-          "2010-02-27T02:54:00-07:00",
-          "2010-02-27T02:55:00-07:00",
-          "2010-02-27T02:56:00-07:00",
-          "2010-02-27T02:57:00-07:00",
-          "2010-02-27T02:58:00-07:00",
-          "2010-02-27T02:59:00-07:00",
-          "2010-02-27T03:00:00-07:00",
-          "2010-02-27T03:01:00-07:00",
-          "2010-02-27T03:02:00-07:00",
-          "2010-02-27T03:03:00-07:00",
-          "2010-02-27T03:04:00-07:00",
-          "2010-02-27T03:05:00-07:00",
-          "2010-02-27T03:06:00-07:00",
-          "2010-02-27T03:07:00-07:00",
-          "2010-02-27T03:08:00-07:00",
-          "2010-02-27T03:09:00-07:00",
-          "2010-02-27T03:10:00-07:00",
-          "2010-02-27T03:11:00-07:00",
-          "2010-02-27T03:12:00-07:00",
-          "2010-02-27T03:13:00-07:00",
-          "2010-02-27T03:14:00-07:00",
-          "2010-02-27T03:15:00-07:00",
-          "2010-02-27T03:16:00-07:00",
-          "2010-02-27T03:17:00-07:00",
-          "2010-02-27T03:18:00-07:00",
-          "2010-02-27T03:19:00-07:00",
-          "2010-02-27T03:20:00-07:00",
-          "2010-02-27T03:21:00-07:00",
-          "2010-02-27T03:22:00-07:00",
-          "2010-02-27T03:23:00-07:00",
-          "2010-02-27T03:24:00-07:00",
-          "2010-02-27T03:25:00-07:00",
-          "2010-02-27T03:26:00-07:00",
-          "2010-02-27T03:27:00-07:00",
-          "2010-02-27T03:28:00-07:00",
-          "2010-02-27T03:29:00-07:00",
-          "2010-02-27T03:30:00-07:00",
-          "2010-02-27T03:31:00-07:00",
-          "2010-02-27T03:32:00-07:00",
-          "2010-02-27T03:33:00-07:00",
-          "2010-02-27T03:34:00-07:00",
-          "2010-02-27T03:35:00-07:00",
-          "2010-02-27T03:36:00-07:00",
-          "2010-02-27T03:37:00-07:00",
-          "2010-02-27T03:38:00-07:00",
-          "2010-02-27T03:39:00-07:00",
-          "2010-02-27T03:40:00-07:00",
-          "2010-02-27T03:41:00-07:00",
-          "2010-02-27T03:42:00-07:00",
-          "2010-02-27T03:43:00-07:00",
-          "2010-02-27T03:44:00-07:00",
-          "2010-02-27T03:45:00-07:00",
-          "2010-02-27T03:46:00-07:00",
-          "2010-02-27T03:47:00-07:00",
-          "2010-02-27T03:48:00-07:00",
-          "2010-02-27T03:49:00-07:00",
-          "2010-02-27T03:50:00-07:00",
-          "2010-02-27T03:51:00-07:00",
-          "2010-02-27T03:52:00-07:00",
-          "2010-02-27T03:53:00-07:00",
-          "2010-02-27T03:54:00-07:00",
-          "2010-02-27T03:55:00-07:00",
-          "2010-02-27T03:56:00-07:00",
-          "2010-02-27T03:57:00-07:00",
-          "2010-02-27T03:58:00-07:00",
-          "2010-02-27T03:59:00-07:00",
-          "2010-02-27T04:00:00-07:00",
-          "2010-02-27T04:01:00-07:00",
-          "2010-02-27T04:02:00-07:00",
-          "2010-02-27T04:03:00-07:00",
-          "2010-02-27T04:04:00-07:00",
-          "2010-02-27T04:05:00-07:00",
-          "2010-02-27T04:06:00-07:00",
-          "2010-02-27T04:07:00-07:00",
-          "2010-02-27T04:08:00-07:00",
-          "2010-02-27T04:09:00-07:00",
-          "2010-02-27T04:10:00-07:00",
-          "2010-02-27T04:11:00-07:00",
-          "2010-02-27T04:12:00-07:00",
-          "2010-02-27T04:13:00-07:00",
-          "2010-02-27T04:14:00-07:00",
-          "2010-02-27T04:15:00-07:00",
-          "2010-02-27T04:16:00-07:00",
-          "2010-02-27T04:17:00-07:00",
-          "2010-02-27T04:18:00-07:00",
-          "2010-02-27T04:19:00-07:00",
-          "2010-02-27T04:20:00-07:00",
-          "2010-02-27T04:21:00-07:00",
-          "2010-02-27T04:22:00-07:00",
-          "2010-02-27T04:23:00-07:00",
-          "2010-02-27T04:24:00-07:00",
-          "2010-02-27T04:25:00-07:00",
-          "2010-02-27T04:26:00-07:00",
-          "2010-02-27T04:27:00-07:00",
-          "2010-02-27T04:28:00-07:00",
-          "2010-02-27T04:29:00-07:00",
-          "2010-02-27T04:30:00-07:00",
-          "2010-02-27T04:31:00-07:00",
-          "2010-02-27T04:32:00-07:00",
-          "2010-02-27T04:33:00-07:00",
-          "2010-02-27T04:34:00-07:00",
-          "2010-02-27T04:35:00-07:00",
-          "2010-02-27T04:36:00-07:00",
-          "2010-02-27T04:37:00-07:00",
-          "2010-02-27T04:38:00-07:00",
-          "2010-02-27T04:39:00-07:00",
-          "2010-02-27T04:40:00-07:00",
-          "2010-02-27T04:41:00-07:00",
-          "2010-02-27T04:42:00-07:00",
-          "2010-02-27T04:43:00-07:00",
-          "2010-02-27T04:44:00-07:00",
-          "2010-02-27T04:45:00-07:00",
-          "2010-02-27T04:46:00-07:00",
-          "2010-02-27T04:47:00-07:00",
-          "2010-02-27T04:48:00-07:00",
-          "2010-02-27T04:49:00-07:00",
-          "2010-02-27T04:50:00-07:00",
-          "2010-02-27T04:51:00-07:00",
-          "2010-02-27T04:52:00-07:00",
-          "2010-02-27T04:53:00-07:00",
-          "2010-02-27T04:54:00-07:00",
-          "2010-02-27T04:55:00-07:00",
-          "2010-02-27T04:56:00-07:00",
-          "2010-02-27T04:57:00-07:00",
-          "2010-02-27T04:58:00-07:00",
-          "2010-02-27T04:59:00-07:00",
-          "2010-02-27T05:00:00-07:00",
-          "2010-02-27T05:01:00-07:00",
-          "2010-02-27T05:02:00-07:00",
-          "2010-02-27T05:03:00-07:00",
-          "2010-02-27T05:04:00-07:00",
-          "2010-02-27T05:05:00-07:00",
-          "2010-02-27T05:06:00-07:00",
-          "2010-02-27T05:07:00-07:00",
-          "2010-02-27T05:08:00-07:00",
-          "2010-02-27T05:09:00-07:00",
-          "2010-02-27T05:10:00-07:00",
-          "2010-02-27T05:11:00-07:00",
-          "2010-02-27T05:12:00-07:00",
-          "2010-02-27T05:13:00-07:00",
-          "2010-02-27T05:14:00-07:00",
-          "2010-02-27T05:15:00-07:00",
-          "2010-02-27T05:16:00-07:00",
-          "2010-02-27T05:17:00-07:00",
-          "2010-02-27T05:18:00-07:00",
-          "2010-02-27T05:19:00-07:00",
-          "2010-02-27T05:20:00-07:00",
-          "2010-02-27T05:21:00-07:00",
-          "2010-02-27T05:22:00-07:00",
-          "2010-02-27T05:23:00-07:00",
-          "2010-02-27T05:24:00-07:00",
-          "2010-02-27T05:25:00-07:00",
-          "2010-02-27T05:26:00-07:00",
-          "2010-02-27T05:27:00-07:00",
-          "2010-02-27T05:28:00-07:00",
-          "2010-02-27T05:29:00-07:00",
-          "2010-02-27T05:30:00-07:00",
-          "2010-02-27T05:31:00-07:00",
-          "2010-02-27T05:32:00-07:00",
-          "2010-02-27T05:33:00-07:00",
-          "2010-02-27T05:34:00-07:00",
-          "2010-02-27T05:35:00-07:00",
-          "2010-02-27T05:36:00-07:00",
-          "2010-02-27T05:37:00-07:00",
-          "2010-02-27T05:38:00-07:00",
-          "2010-02-27T05:39:00-07:00",
-          "2010-02-27T05:40:00-07:00",
-          "2010-02-27T05:41:00-07:00",
-          "2010-02-27T05:42:00-07:00",
-          "2010-02-27T05:43:00-07:00",
-          "2010-02-27T05:44:00-07:00",
-          "2010-02-27T05:45:00-07:00",
-          "2010-02-27T05:46:00-07:00",
-          "2010-02-27T05:47:00-07:00",
-          "2010-02-27T05:48:00-07:00",
-          "2010-02-27T05:49:00-07:00",
-          "2010-02-27T05:50:00-07:00",
-          "2010-02-27T05:51:00-07:00",
-          "2010-02-27T05:52:00-07:00",
-          "2010-02-27T05:53:00-07:00",
-          "2010-02-27T05:54:00-07:00",
-          "2010-02-27T05:55:00-07:00",
-          "2010-02-27T05:56:00-07:00",
-          "2010-02-27T05:57:00-07:00",
-          "2010-02-27T05:58:00-07:00",
-          "2010-02-27T05:59:00-07:00",
-          "2010-02-27T06:00:00-07:00",
-          "2010-02-27T06:01:00-07:00",
-          "2010-02-27T06:02:00-07:00",
-          "2010-02-27T06:03:00-07:00",
-          "2010-02-27T06:04:00-07:00",
-          "2010-02-27T06:05:00-07:00",
-          "2010-02-27T06:06:00-07:00",
-          "2010-02-27T06:07:00-07:00",
-          "2010-02-27T06:08:00-07:00",
-          "2010-02-27T06:09:00-07:00",
-          "2010-02-27T06:10:00-07:00",
-          "2010-02-27T06:11:00-07:00",
-          "2010-02-27T06:12:00-07:00",
-          "2010-02-27T06:13:00-07:00",
-          "2010-02-27T06:14:00-07:00",
-          "2010-02-27T06:15:00-07:00",
-          "2010-02-27T06:16:00-07:00",
-          "2010-02-27T06:17:00-07:00",
-          "2010-02-27T06:18:00-07:00",
-          "2010-02-27T06:19:00-07:00",
-          "2010-02-27T06:20:00-07:00",
-          "2010-02-27T06:21:00-07:00",
-          "2010-02-27T06:22:00-07:00",
-          "2010-02-27T06:23:00-07:00",
-          "2010-02-27T06:24:00-07:00",
-          "2010-02-27T06:25:00-07:00",
-          "2010-02-27T06:26:00-07:00",
-          "2010-02-27T06:27:00-07:00",
-          "2010-02-27T06:28:00-07:00",
-          "2010-02-27T06:29:00-07:00",
-          "2010-02-27T06:30:00-07:00",
-          "2010-02-27T06:31:00-07:00",
-          "2010-02-27T06:32:00-07:00",
-          "2010-02-27T06:33:00-07:00",
-          "2010-02-27T06:34:00-07:00",
-          "2010-02-27T06:35:00-07:00",
-          "2010-02-27T06:36:00-07:00",
-          "2010-02-27T06:37:00-07:00",
-          "2010-02-27T06:38:00-07:00",
-          "2010-02-27T06:39:00-07:00",
-          "2010-02-27T06:40:00-07:00",
-          "2010-02-27T06:41:00-07:00",
-          "2010-02-27T06:42:00-07:00",
-          "2010-02-27T06:43:00-07:00",
-          "2010-02-27T06:44:00-07:00",
-          "2010-02-27T06:45:00-07:00",
-          "2010-02-27T06:46:00-07:00",
-          "2010-02-27T06:47:00-07:00",
-          "2010-02-27T06:48:00-07:00",
-          "2010-02-27T06:49:00-07:00",
-          "2010-02-27T06:50:00-07:00",
-          "2010-02-27T06:51:00-07:00",
-          "2010-02-27T06:52:00-07:00",
-          "2010-02-27T06:53:00-07:00",
-          "2010-02-27T06:54:00-07:00",
-          "2010-02-27T06:55:00-07:00",
-          "2010-02-27T06:56:00-07:00",
-          "2010-02-27T06:57:00-07:00",
-          "2010-02-27T06:58:00-07:00",
-          "2010-02-27T06:59:00-07:00",
-          "2010-02-27T07:00:00-07:00",
-          "2010-02-27T07:01:00-07:00",
-          "2010-02-27T07:02:00-07:00",
-          "2010-02-27T07:03:00-07:00",
-          "2010-02-27T07:04:00-07:00",
-          "2010-02-27T07:05:00-07:00",
-          "2010-02-27T07:06:00-07:00",
-          "2010-02-27T07:07:00-07:00",
-          "2010-02-27T07:08:00-07:00",
-          "2010-02-27T07:09:00-07:00",
-          "2010-02-27T07:10:00-07:00",
-          "2010-02-27T07:11:00-07:00",
-          "2010-02-27T07:12:00-07:00",
-          "2010-02-27T07:13:00-07:00",
-          "2010-02-27T07:14:00-07:00",
-          "2010-02-27T07:15:00-07:00",
-          "2010-02-27T07:16:00-07:00",
-          "2010-02-27T07:17:00-07:00",
-          "2010-02-27T07:18:00-07:00",
-          "2010-02-27T07:19:00-07:00",
-          "2010-02-27T07:20:00-07:00",
-          "2010-02-27T07:21:00-07:00",
-          "2010-02-27T07:22:00-07:00",
-          "2010-02-27T07:23:00-07:00",
-          "2010-02-27T07:24:00-07:00",
-          "2010-02-27T07:25:00-07:00",
-          "2010-02-27T07:26:00-07:00",
-          "2010-02-27T07:27:00-07:00",
-          "2010-02-27T07:28:00-07:00",
-          "2010-02-27T07:29:00-07:00",
-          "2010-02-27T07:30:00-07:00",
-          "2010-02-27T07:31:00-07:00",
-          "2010-02-27T07:32:00-07:00",
-          "2010-02-27T07:33:00-07:00",
-          "2010-02-27T07:34:00-07:00",
-          "2010-02-27T07:35:00-07:00",
-          "2010-02-27T07:36:00-07:00",
-          "2010-02-27T07:37:00-07:00",
-          "2010-02-27T07:38:00-07:00",
-          "2010-02-27T07:39:00-07:00",
-          "2010-02-27T07:40:00-07:00",
-          "2010-02-27T07:41:00-07:00",
-          "2010-02-27T07:42:00-07:00",
-          "2010-02-27T07:43:00-07:00",
-          "2010-02-27T07:44:00-07:00",
-          "2010-02-27T07:45:00-07:00",
-          "2010-02-27T07:46:00-07:00",
-          "2010-02-27T07:47:00-07:00",
-          "2010-02-27T07:48:00-07:00",
-          "2010-02-27T07:49:00-07:00",
-          "2010-02-27T07:50:00-07:00",
-          "2010-02-27T07:51:00-07:00",
-          "2010-02-27T07:52:00-07:00",
-          "2010-02-27T07:53:00-07:00",
-          "2010-02-27T07:54:00-07:00",
-          "2010-02-27T07:55:00-07:00",
-          "2010-02-27T07:56:00-07:00",
-          "2010-02-27T07:57:00-07:00",
-          "2010-02-27T07:58:00-07:00",
-          "2010-02-27T07:59:00-07:00",
-          "2010-02-27T08:00:00-07:00",
-          "2010-02-27T08:01:00-07:00",
-          "2010-02-27T08:02:00-07:00",
-          "2010-02-27T08:03:00-07:00",
-          "2010-02-27T08:04:00-07:00",
-          "2010-02-27T08:05:00-07:00",
-          "2010-02-27T08:06:00-07:00",
-          "2010-02-27T08:07:00-07:00",
-          "2010-02-27T08:08:00-07:00",
-          "2010-02-27T08:09:00-07:00",
-          "2010-02-27T08:10:00-07:00",
-          "2010-02-27T08:11:00-07:00",
-          "2010-02-27T08:12:00-07:00",
-          "2010-02-27T08:13:00-07:00",
-          "2010-02-27T08:14:00-07:00",
-          "2010-02-27T08:15:00-07:00",
-          "2010-02-27T08:16:00-07:00",
-          "2010-02-27T08:17:00-07:00",
-          "2010-02-27T08:18:00-07:00",
-          "2010-02-27T08:19:00-07:00",
-          "2010-02-27T08:20:00-07:00",
-          "2010-02-27T08:21:00-07:00",
-          "2010-02-27T08:22:00-07:00",
-          "2010-02-27T08:23:00-07:00",
-          "2010-02-27T08:24:00-07:00",
-          "2010-02-27T08:25:00-07:00",
-          "2010-02-27T08:26:00-07:00",
-          "2010-02-27T08:27:00-07:00",
-          "2010-02-27T08:28:00-07:00",
-          "2010-02-27T08:29:00-07:00",
-          "2010-02-27T08:30:00-07:00",
-          "2010-02-27T08:31:00-07:00",
-          "2010-02-27T08:32:00-07:00",
-          "2010-02-27T08:33:00-07:00",
-          "2010-02-27T08:34:00-07:00",
-          "2010-02-27T08:35:00-07:00",
-          "2010-02-27T08:36:00-07:00",
-          "2010-02-27T08:37:00-07:00",
-          "2010-02-27T08:38:00-07:00",
-          "2010-02-27T08:39:00-07:00",
-          "2010-02-27T08:40:00-07:00",
-          "2010-02-27T08:41:00-07:00",
-          "2010-02-27T08:42:00-07:00",
-          "2010-02-27T08:43:00-07:00",
-          "2010-02-27T08:44:00-07:00",
-          "2010-02-27T08:45:00-07:00",
-          "2010-02-27T08:46:00-07:00",
-          "2010-02-27T08:47:00-07:00",
-          "2010-02-27T08:48:00-07:00",
-          "2010-02-27T08:49:00-07:00",
-          "2010-02-27T08:50:00-07:00",
-          "2010-02-27T08:51:00-07:00",
-          "2010-02-27T08:52:00-07:00",
-          "2010-02-27T08:53:00-07:00",
-          "2010-02-27T08:54:00-07:00",
-          "2010-02-27T08:55:00-07:00",
-          "2010-02-27T08:56:00-07:00",
-          "2010-02-27T08:57:00-07:00",
-          "2010-02-27T08:58:00-07:00",
-          "2010-02-27T08:59:00-07:00",
-          "2010-02-27T09:00:00-07:00",
-          "2010-02-27T09:01:00-07:00",
-          "2010-02-27T09:02:00-07:00",
-          "2010-02-27T09:03:00-07:00",
-          "2010-02-27T09:04:00-07:00",
-          "2010-02-27T09:05:00-07:00",
-          "2010-02-27T09:06:00-07:00",
-          "2010-02-27T09:07:00-07:00",
-          "2010-02-27T09:08:00-07:00",
-          "2010-02-27T09:09:00-07:00",
-          "2010-02-27T09:10:00-07:00",
-          "2010-02-27T09:11:00-07:00",
-          "2010-02-27T09:12:00-07:00",
-          "2010-02-27T09:13:00-07:00",
-          "2010-02-27T09:14:00-07:00",
-          "2010-02-27T09:15:00-07:00",
-          "2010-02-27T09:16:00-07:00",
-          "2010-02-27T09:17:00-07:00",
-          "2010-02-27T09:18:00-07:00",
-          "2010-02-27T09:19:00-07:00",
-          "2010-02-27T09:20:00-07:00",
-          "2010-02-27T09:21:00-07:00",
-          "2010-02-27T09:22:00-07:00",
-          "2010-02-27T09:23:00-07:00",
-          "2010-02-27T09:24:00-07:00",
-          "2010-02-27T09:25:00-07:00",
-          "2010-02-27T09:26:00-07:00",
-          "2010-02-27T09:27:00-07:00",
-          "2010-02-27T09:28:00-07:00",
-          "2010-02-27T09:29:00-07:00",
-          "2010-02-27T09:30:00-07:00",
-          "2010-02-27T09:31:00-07:00",
-          "2010-02-27T09:32:00-07:00",
-          "2010-02-27T09:33:00-07:00",
-          "2010-02-27T09:34:00-07:00",
-          "2010-02-27T09:35:00-07:00",
-          "2010-02-27T09:36:00-07:00",
-          "2010-02-27T09:37:00-07:00",
-          "2010-02-27T09:38:00-07:00",
-          "2010-02-27T09:39:00-07:00",
-          "2010-02-27T09:40:00-07:00",
-          "2010-02-27T09:41:00-07:00",
-          "2010-02-27T09:42:00-07:00",
-          "2010-02-27T09:43:00-07:00",
-          "2010-02-27T09:44:00-07:00",
-          "2010-02-27T09:45:00-07:00",
-          "2010-02-27T09:46:00-07:00",
-          "2010-02-27T09:47:00-07:00",
-          "2010-02-27T09:48:00-07:00",
-          "2010-02-27T09:49:00-07:00",
-          "2010-02-27T09:50:00-07:00",
-          "2010-02-27T09:51:00-07:00",
-          "2010-02-27T09:52:00-07:00",
-          "2010-02-27T09:53:00-07:00",
-          "2010-02-27T09:54:00-07:00",
-          "2010-02-27T09:55:00-07:00",
-          "2010-02-27T09:56:00-07:00",
-          "2010-02-27T09:57:00-07:00",
-          "2010-02-27T09:58:00-07:00",
-          "2010-02-27T09:59:00-07:00",
-          "2010-02-27T10:00:00-07:00",
-          "2010-02-27T10:01:00-07:00",
-          "2010-02-27T10:02:00-07:00",
-          "2010-02-27T10:03:00-07:00",
-          "2010-02-27T10:04:00-07:00",
-          "2010-02-27T10:05:00-07:00",
-          "2010-02-27T10:06:00-07:00",
-          "2010-02-27T10:07:00-07:00",
-          "2010-02-27T10:08:00-07:00",
-          "2010-02-27T10:09:00-07:00",
-          "2010-02-27T10:10:00-07:00",
-          "2010-02-27T10:11:00-07:00",
-          "2010-02-27T10:12:00-07:00",
-          "2010-02-27T10:13:00-07:00",
-          "2010-02-27T10:14:00-07:00",
-          "2010-02-27T10:15:00-07:00",
-          "2010-02-27T10:16:00-07:00",
-          "2010-02-27T10:17:00-07:00",
-          "2010-02-27T10:18:00-07:00",
-          "2010-02-27T10:19:00-07:00",
-          "2010-02-27T10:20:00-07:00",
-          "2010-02-27T10:21:00-07:00",
-          "2010-02-27T10:22:00-07:00",
-          "2010-02-27T10:23:00-07:00",
-          "2010-02-27T10:24:00-07:00",
-          "2010-02-27T10:25:00-07:00",
-          "2010-02-27T10:26:00-07:00",
-          "2010-02-27T10:27:00-07:00",
-          "2010-02-27T10:28:00-07:00",
-          "2010-02-27T10:29:00-07:00",
-          "2010-02-27T10:30:00-07:00",
-          "2010-02-27T10:31:00-07:00",
-          "2010-02-27T10:32:00-07:00",
-          "2010-02-27T10:33:00-07:00",
-          "2010-02-27T10:34:00-07:00",
-          "2010-02-27T10:35:00-07:00",
-          "2010-02-27T10:36:00-07:00",
-          "2010-02-27T10:37:00-07:00",
-          "2010-02-27T10:38:00-07:00",
-          "2010-02-27T10:39:00-07:00",
-          "2010-02-27T10:40:00-07:00",
-          "2010-02-27T10:41:00-07:00",
-          "2010-02-27T10:42:00-07:00",
-          "2010-02-27T10:43:00-07:00",
-          "2010-02-27T10:44:00-07:00",
-          "2010-02-27T10:45:00-07:00",
-          "2010-02-27T10:46:00-07:00",
-          "2010-02-27T10:47:00-07:00",
-          "2010-02-27T10:48:00-07:00",
-          "2010-02-27T10:49:00-07:00",
-          "2010-02-27T10:50:00-07:00",
-          "2010-02-27T10:51:00-07:00",
-          "2010-02-27T10:52:00-07:00",
-          "2010-02-27T10:53:00-07:00",
-          "2010-02-27T10:54:00-07:00",
-          "2010-02-27T10:55:00-07:00",
-          "2010-02-27T10:56:00-07:00",
-          "2010-02-27T10:57:00-07:00",
-          "2010-02-27T10:58:00-07:00",
-          "2010-02-27T10:59:00-07:00",
-          "2010-02-27T11:00:00-07:00",
-          "2010-02-27T11:01:00-07:00",
-          "2010-02-27T11:02:00-07:00",
-          "2010-02-27T11:03:00-07:00",
-          "2010-02-27T11:04:00-07:00",
-          "2010-02-27T11:05:00-07:00",
-          "2010-02-27T11:06:00-07:00",
-          "2010-02-27T11:07:00-07:00",
-          "2010-02-27T11:08:00-07:00",
-          "2010-02-27T11:09:00-07:00",
-          "2010-02-27T11:10:00-07:00",
-          "2010-02-27T11:11:00-07:00",
-          "2010-02-27T11:12:00-07:00",
-          "2010-02-27T11:13:00-07:00",
-          "2010-02-27T11:14:00-07:00",
-          "2010-02-27T11:15:00-07:00",
-          "2010-02-27T11:16:00-07:00",
-          "2010-02-27T11:17:00-07:00",
-          "2010-02-27T11:18:00-07:00",
-          "2010-02-27T11:19:00-07:00",
-          "2010-02-27T11:20:00-07:00",
-          "2010-02-27T11:21:00-07:00",
-          "2010-02-27T11:22:00-07:00",
-          "2010-02-27T11:23:00-07:00",
-          "2010-02-27T11:24:00-07:00",
-          "2010-02-27T11:25:00-07:00",
-          "2010-02-27T11:26:00-07:00",
-          "2010-02-27T11:27:00-07:00",
-          "2010-02-27T11:28:00-07:00",
-          "2010-02-27T11:29:00-07:00",
-          "2010-02-27T11:30:00-07:00",
-          "2010-02-27T11:31:00-07:00",
-          "2010-02-27T11:32:00-07:00",
-          "2010-02-27T11:33:00-07:00",
-          "2010-02-27T11:34:00-07:00",
-          "2010-02-27T11:35:00-07:00",
-          "2010-02-27T11:36:00-07:00",
-          "2010-02-27T11:37:00-07:00",
-          "2010-02-27T11:38:00-07:00",
-          "2010-02-27T11:39:00-07:00",
-          "2010-02-27T11:40:00-07:00",
-          "2010-02-27T11:41:00-07:00",
-          "2010-02-27T11:42:00-07:00",
-          "2010-02-27T11:43:00-07:00",
-          "2010-02-27T11:44:00-07:00",
-          "2010-02-27T11:45:00-07:00",
-          "2010-02-27T11:46:00-07:00",
-          "2010-02-27T11:47:00-07:00",
-          "2010-02-27T11:48:00-07:00",
-          "2010-02-27T11:49:00-07:00",
-          "2010-02-27T11:50:00-07:00",
-          "2010-02-27T11:51:00-07:00",
-          "2010-02-27T11:52:00-07:00",
-          "2010-02-27T11:53:00-07:00",
-          "2010-02-27T11:54:00-07:00",
-          "2010-02-27T11:55:00-07:00",
-          "2010-02-27T11:56:00-07:00",
-          "2010-02-27T11:57:00-07:00",
-          "2010-02-27T11:58:00-07:00",
-          "2010-02-27T11:59:00-07:00",
-          "2010-02-27T12:00:00-07:00",
-          "2010-02-27T12:01:00-07:00",
-          "2010-02-27T12:02:00-07:00",
-          "2010-02-27T12:03:00-07:00",
-          "2010-02-27T12:04:00-07:00",
-          "2010-02-27T12:05:00-07:00",
-          "2010-02-27T12:06:00-07:00",
-          "2010-02-27T12:07:00-07:00",
-          "2010-02-27T12:08:00-07:00",
-          "2010-02-27T12:09:00-07:00",
-          "2010-02-27T12:10:00-07:00",
-          "2010-02-27T12:11:00-07:00",
-          "2010-02-27T12:12:00-07:00",
-          "2010-02-27T12:13:00-07:00",
-          "2010-02-27T12:14:00-07:00",
-          "2010-02-27T12:15:00-07:00",
-          "2010-02-27T12:16:00-07:00",
-          "2010-02-27T12:17:00-07:00",
-          "2010-02-27T12:18:00-07:00",
-          "2010-02-27T12:19:00-07:00",
-          "2010-02-27T12:20:00-07:00",
-          "2010-02-27T12:21:00-07:00",
-          "2010-02-27T12:22:00-07:00",
-          "2010-02-27T12:23:00-07:00",
-          "2010-02-27T12:24:00-07:00",
-          "2010-02-27T12:25:00-07:00",
-          "2010-02-27T12:26:00-07:00",
-          "2010-02-27T12:27:00-07:00",
-          "2010-02-27T12:28:00-07:00",
-          "2010-02-27T12:29:00-07:00",
-          "2010-02-27T12:30:00-07:00",
-          "2010-02-27T12:31:00-07:00",
-          "2010-02-27T12:32:00-07:00",
-          "2010-02-27T12:33:00-07:00",
-          "2010-02-27T12:34:00-07:00",
-          "2010-02-27T12:35:00-07:00",
-          "2010-02-27T12:36:00-07:00",
-          "2010-02-27T12:37:00-07:00",
-          "2010-02-27T12:38:00-07:00",
-          "2010-02-27T12:39:00-07:00",
-          "2010-02-27T12:40:00-07:00",
-          "2010-02-27T12:41:00-07:00",
-          "2010-02-27T12:42:00-07:00",
-          "2010-02-27T12:43:00-07:00",
-          "2010-02-27T12:44:00-07:00",
-          "2010-02-27T12:45:00-07:00",
-          "2010-02-27T12:46:00-07:00",
-          "2010-02-27T12:47:00-07:00",
-          "2010-02-27T12:48:00-07:00",
-          "2010-02-27T12:49:00-07:00",
-          "2010-02-27T12:50:00-07:00",
-          "2010-02-27T12:51:00-07:00",
-          "2010-02-27T12:52:00-07:00",
-          "2010-02-27T12:53:00-07:00",
-          "2010-02-27T12:54:00-07:00",
-          "2010-02-27T12:55:00-07:00",
-          "2010-02-27T12:56:00-07:00",
-          "2010-02-27T12:57:00-07:00",
-          "2010-02-27T12:58:00-07:00",
-          "2010-02-27T12:59:00-07:00",
-          "2010-02-27T13:00:00-07:00",
-          "2010-02-27T13:01:00-07:00",
-          "2010-02-27T13:02:00-07:00",
-          "2010-02-27T13:03:00-07:00",
-          "2010-02-27T13:04:00-07:00",
-          "2010-02-27T13:05:00-07:00",
-          "2010-02-27T13:06:00-07:00",
-          "2010-02-27T13:07:00-07:00",
-          "2010-02-27T13:08:00-07:00",
-          "2010-02-27T13:09:00-07:00",
-          "2010-02-27T13:10:00-07:00",
-          "2010-02-27T13:11:00-07:00",
-          "2010-02-27T13:12:00-07:00",
-          "2010-02-27T13:13:00-07:00",
-          "2010-02-27T13:14:00-07:00",
-          "2010-02-27T13:15:00-07:00",
-          "2010-02-27T13:16:00-07:00",
-          "2010-02-27T13:17:00-07:00",
-          "2010-02-27T13:18:00-07:00",
-          "2010-02-27T13:19:00-07:00",
-          "2010-02-27T13:20:00-07:00",
-          "2010-02-27T13:21:00-07:00",
-          "2010-02-27T13:22:00-07:00",
-          "2010-02-27T13:23:00-07:00",
-          "2010-02-27T13:24:00-07:00",
-          "2010-02-27T13:25:00-07:00",
-          "2010-02-27T13:26:00-07:00",
-          "2010-02-27T13:27:00-07:00",
-          "2010-02-27T13:28:00-07:00",
-          "2010-02-27T13:29:00-07:00",
-          "2010-02-27T13:30:00-07:00",
-          "2010-02-27T13:31:00-07:00",
-          "2010-02-27T13:32:00-07:00",
-          "2010-02-27T13:33:00-07:00",
-          "2010-02-27T13:34:00-07:00",
-          "2010-02-27T13:35:00-07:00",
-          "2010-02-27T13:36:00-07:00",
-          "2010-02-27T13:37:00-07:00",
-          "2010-02-27T13:38:00-07:00",
-          "2010-02-27T13:39:00-07:00",
-          "2010-02-27T13:40:00-07:00",
-          "2010-02-27T13:41:00-07:00",
-          "2010-02-27T13:42:00-07:00",
-          "2010-02-27T13:43:00-07:00",
-          "2010-02-27T13:44:00-07:00",
-          "2010-02-27T13:45:00-07:00",
-          "2010-02-27T13:46:00-07:00",
-          "2010-02-27T13:47:00-07:00",
-          "2010-02-27T13:48:00-07:00",
-          "2010-02-27T13:49:00-07:00",
-          "2010-02-27T13:50:00-07:00",
-          "2010-02-27T13:51:00-07:00",
-          "2010-02-27T13:52:00-07:00",
-          "2010-02-27T13:53:00-07:00",
-          "2010-02-27T13:54:00-07:00",
-          "2010-02-27T13:55:00-07:00",
-          "2010-02-27T13:56:00-07:00",
-          "2010-02-27T13:57:00-07:00",
-          "2010-02-27T13:58:00-07:00",
-          "2010-02-27T13:59:00-07:00",
-          "2010-02-27T14:00:00-07:00",
-          "2010-02-27T14:01:00-07:00",
-          "2010-02-27T14:02:00-07:00",
-          "2010-02-27T14:03:00-07:00",
-          "2010-02-27T14:04:00-07:00",
-          "2010-02-27T14:05:00-07:00",
-          "2010-02-27T14:06:00-07:00",
-          "2010-02-27T14:07:00-07:00",
-          "2010-02-27T14:08:00-07:00",
-          "2010-02-27T14:09:00-07:00",
-          "2010-02-27T14:10:00-07:00",
-          "2010-02-27T14:11:00-07:00",
-          "2010-02-27T14:12:00-07:00",
-          "2010-02-27T14:13:00-07:00",
-          "2010-02-27T14:14:00-07:00",
-          "2010-02-27T14:15:00-07:00",
-          "2010-02-27T14:16:00-07:00",
-          "2010-02-27T14:17:00-07:00",
-          "2010-02-27T14:18:00-07:00",
-          "2010-02-27T14:19:00-07:00",
-          "2010-02-27T14:20:00-07:00",
-          "2010-02-27T14:21:00-07:00",
-          "2010-02-27T14:22:00-07:00",
-          "2010-02-27T14:23:00-07:00",
-          "2010-02-27T14:24:00-07:00",
-          "2010-02-27T14:25:00-07:00",
-          "2010-02-27T14:26:00-07:00",
-          "2010-02-27T14:27:00-07:00",
-          "2010-02-27T14:28:00-07:00",
-          "2010-02-27T14:29:00-07:00",
-          "2010-02-27T14:30:00-07:00",
-          "2010-02-27T14:31:00-07:00",
-          "2010-02-27T14:32:00-07:00",
-          "2010-02-27T14:33:00-07:00",
-          "2010-02-27T14:34:00-07:00",
-          "2010-02-27T14:35:00-07:00",
-          "2010-02-27T14:36:00-07:00",
-          "2010-02-27T14:37:00-07:00",
-          "2010-02-27T14:38:00-07:00",
-          "2010-02-27T14:39:00-07:00",
-          "2010-02-27T14:40:00-07:00",
-          "2010-02-27T14:41:00-07:00",
-          "2010-02-27T14:42:00-07:00",
-          "2010-02-27T14:43:00-07:00",
-          "2010-02-27T14:44:00-07:00",
-          "2010-02-27T14:45:00-07:00",
-          "2010-02-27T14:46:00-07:00",
-          "2010-02-27T14:47:00-07:00",
-          "2010-02-27T14:48:00-07:00",
-          "2010-02-27T14:49:00-07:00",
-          "2010-02-27T14:50:00-07:00",
-          "2010-02-27T14:51:00-07:00",
-          "2010-02-27T14:52:00-07:00",
-          "2010-02-27T14:53:00-07:00",
-          "2010-02-27T14:54:00-07:00",
-          "2010-02-27T14:55:00-07:00",
-          "2010-02-27T14:56:00-07:00",
-          "2010-02-27T14:57:00-07:00",
-          "2010-02-27T14:58:00-07:00",
-          "2010-02-27T14:59:00-07:00",
-          "2010-02-27T15:00:00-07:00",
-          "2010-02-27T15:01:00-07:00",
-          "2010-02-27T15:02:00-07:00",
-          "2010-02-27T15:03:00-07:00",
-          "2010-02-27T15:04:00-07:00",
-          "2010-02-27T15:05:00-07:00",
-          "2010-02-27T15:06:00-07:00",
-          "2010-02-27T15:07:00-07:00",
-          "2010-02-27T15:08:00-07:00",
-          "2010-02-27T15:09:00-07:00",
-          "2010-02-27T15:10:00-07:00",
-          "2010-02-27T15:11:00-07:00",
-          "2010-02-27T15:12:00-07:00",
-          "2010-02-27T15:13:00-07:00",
-          "2010-02-27T15:14:00-07:00",
-          "2010-02-27T15:15:00-07:00",
-          "2010-02-27T15:16:00-07:00",
-          "2010-02-27T15:17:00-07:00",
-          "2010-02-27T15:18:00-07:00",
-          "2010-02-27T15:19:00-07:00",
-          "2010-02-27T15:20:00-07:00",
-          "2010-02-27T15:21:00-07:00",
-          "2010-02-27T15:22:00-07:00",
-          "2010-02-27T15:23:00-07:00",
-          "2010-02-27T15:24:00-07:00",
-          "2010-02-27T15:25:00-07:00",
-          "2010-02-27T15:26:00-07:00",
-          "2010-02-27T15:27:00-07:00",
-          "2010-02-27T15:28:00-07:00",
-          "2010-02-27T15:29:00-07:00",
-          "2010-02-27T15:30:00-07:00",
-          "2010-02-27T15:31:00-07:00",
-          "2010-02-27T15:32:00-07:00",
-          "2010-02-27T15:33:00-07:00",
-          "2010-02-27T15:34:00-07:00",
-          "2010-02-27T15:35:00-07:00",
-          "2010-02-27T15:36:00-07:00",
-          "2010-02-27T15:37:00-07:00",
-          "2010-02-27T15:38:00-07:00",
-          "2010-02-27T15:39:00-07:00",
-          "2010-02-27T15:40:00-07:00",
-          "2010-02-27T15:41:00-07:00",
-          "2010-02-27T15:42:00-07:00",
-          "2010-02-27T15:43:00-07:00",
-          "2010-02-27T15:44:00-07:00",
-          "2010-02-27T15:45:00-07:00",
-          "2010-02-27T15:46:00-07:00",
-          "2010-02-27T15:47:00-07:00",
-          "2010-02-27T15:48:00-07:00",
-          "2010-02-27T15:49:00-07:00",
-          "2010-02-27T15:50:00-07:00",
-          "2010-02-27T15:51:00-07:00",
-          "2010-02-27T15:52:00-07:00",
-          "2010-02-27T15:53:00-07:00",
-          "2010-02-27T15:54:00-07:00",
-          "2010-02-27T15:55:00-07:00",
-          "2010-02-27T15:56:00-07:00",
-          "2010-02-27T15:57:00-07:00",
-          "2010-02-27T15:58:00-07:00",
-          "2010-02-27T15:59:00-07:00",
-          "2010-02-27T16:00:00-07:00",
-          "2010-02-27T16:01:00-07:00",
-          "2010-02-27T16:02:00-07:00",
-          "2010-02-27T16:03:00-07:00",
-          "2010-02-27T16:04:00-07:00",
-          "2010-02-27T16:05:00-07:00",
-          "2010-02-27T16:06:00-07:00",
-          "2010-02-27T16:07:00-07:00",
-          "2010-02-27T16:08:00-07:00",
-          "2010-02-27T16:09:00-07:00",
-          "2010-02-27T16:10:00-07:00",
-          "2010-02-27T16:11:00-07:00",
-          "2010-02-27T16:12:00-07:00",
-          "2010-02-27T16:13:00-07:00",
-          "2010-02-27T16:14:00-07:00",
-          "2010-02-27T16:15:00-07:00",
-          "2010-02-27T16:16:00-07:00",
-          "2010-02-27T16:17:00-07:00",
-          "2010-02-27T16:18:00-07:00",
-          "2010-02-27T16:19:00-07:00",
-          "2010-02-27T16:20:00-07:00",
-          "2010-02-27T16:21:00-07:00",
-          "2010-02-27T16:22:00-07:00",
-          "2010-02-27T16:23:00-07:00",
-          "2010-02-27T16:24:00-07:00",
-          "2010-02-27T16:25:00-07:00",
-          "2010-02-27T16:26:00-07:00",
-          "2010-02-27T16:27:00-07:00",
-          "2010-02-27T16:28:00-07:00",
-          "2010-02-27T16:29:00-07:00",
-          "2010-02-27T16:30:00-07:00",
-          "2010-02-27T16:31:00-07:00",
-          "2010-02-27T16:32:00-07:00",
-          "2010-02-27T16:33:00-07:00",
-          "2010-02-27T16:34:00-07:00",
-          "2010-02-27T16:35:00-07:00",
-          "2010-02-27T16:36:00-07:00",
-          "2010-02-27T16:37:00-07:00",
-          "2010-02-27T16:38:00-07:00",
-          "2010-02-27T16:39:00-07:00",
-          "2010-02-27T16:40:00-07:00",
-          "2010-02-27T16:41:00-07:00",
-          "2010-02-27T16:42:00-07:00",
-          "2010-02-27T16:43:00-07:00",
-          "2010-02-27T16:44:00-07:00",
-          "2010-02-27T16:45:00-07:00",
-          "2010-02-27T16:46:00-07:00",
-          "2010-02-27T16:47:00-07:00",
-          "2010-02-27T16:48:00-07:00",
-          "2010-02-27T16:49:00-07:00",
-          "2010-02-27T16:50:00-07:00",
-          "2010-02-27T16:51:00-07:00",
-          "2010-02-27T16:52:00-07:00",
-          "2010-02-27T16:53:00-07:00",
-          "2010-02-27T16:54:00-07:00",
-          "2010-02-27T16:55:00-07:00",
-          "2010-02-27T16:56:00-07:00",
-          "2010-02-27T16:57:00-07:00",
-          "2010-02-27T16:58:00-07:00",
-          "2010-02-27T16:59:00-07:00",
-          "2010-02-27T17:00:00-07:00",
-          "2010-02-27T17:01:00-07:00",
-          "2010-02-27T17:02:00-07:00",
-          "2010-02-27T17:03:00-07:00",
-          "2010-02-27T17:04:00-07:00",
-          "2010-02-27T17:05:00-07:00",
-          "2010-02-27T17:06:00-07:00",
-          "2010-02-27T17:07:00-07:00",
-          "2010-02-27T17:08:00-07:00",
-          "2010-02-27T17:09:00-07:00",
-          "2010-02-27T17:10:00-07:00",
-          "2010-02-27T17:11:00-07:00",
-          "2010-02-27T17:12:00-07:00",
-          "2010-02-27T17:13:00-07:00",
-          "2010-02-27T17:14:00-07:00",
-          "2010-02-27T17:15:00-07:00",
-          "2010-02-27T17:16:00-07:00",
-          "2010-02-27T17:17:00-07:00",
-          "2010-02-27T17:18:00-07:00",
-          "2010-02-27T17:19:00-07:00",
-          "2010-02-27T17:20:00-07:00",
-          "2010-02-27T17:21:00-07:00",
-          "2010-02-27T17:22:00-07:00",
-          "2010-02-27T17:23:00-07:00",
-          "2010-02-27T17:24:00-07:00",
-          "2010-02-27T17:25:00-07:00",
-          "2010-02-27T17:26:00-07:00",
-          "2010-02-27T17:27:00-07:00",
-          "2010-02-27T17:28:00-07:00",
-          "2010-02-27T17:29:00-07:00",
-          "2010-02-27T17:30:00-07:00",
-          "2010-02-27T17:31:00-07:00",
-          "2010-02-27T17:32:00-07:00",
-          "2010-02-27T17:33:00-07:00",
-          "2010-02-27T17:34:00-07:00",
-          "2010-02-27T17:35:00-07:00",
-          "2010-02-27T17:36:00-07:00",
-          "2010-02-27T17:37:00-07:00",
-          "2010-02-27T17:38:00-07:00",
-          "2010-02-27T17:39:00-07:00",
-          "2010-02-27T17:40:00-07:00",
-          "2010-02-27T17:41:00-07:00",
-          "2010-02-27T17:42:00-07:00",
-          "2010-02-27T17:43:00-07:00",
-          "2010-02-27T17:44:00-07:00",
-          "2010-02-27T17:45:00-07:00",
-          "2010-02-27T17:46:00-07:00",
-          "2010-02-27T17:47:00-07:00",
-          "2010-02-27T17:48:00-07:00",
-          "2010-02-27T17:49:00-07:00",
-          "2010-02-27T17:50:00-07:00",
-          "2010-02-27T17:51:00-07:00",
-          "2010-02-27T17:52:00-07:00",
-          "2010-02-27T17:53:00-07:00",
-          "2010-02-27T17:54:00-07:00",
-          "2010-02-27T17:55:00-07:00",
-          "2010-02-27T17:56:00-07:00",
-          "2010-02-27T17:57:00-07:00",
-          "2010-02-27T17:58:00-07:00",
-          "2010-02-27T17:59:00-07:00",
-          "2010-02-27T18:00:00-07:00",
-          "2010-02-27T18:01:00-07:00",
-          "2010-02-27T18:02:00-07:00",
-          "2010-02-27T18:03:00-07:00",
-          "2010-02-27T18:04:00-07:00",
-          "2010-02-27T18:05:00-07:00",
-          "2010-02-27T18:06:00-07:00",
-          "2010-02-27T18:07:00-07:00",
-          "2010-02-27T18:08:00-07:00",
-          "2010-02-27T18:09:00-07:00",
-          "2010-02-27T18:10:00-07:00",
-          "2010-02-27T18:11:00-07:00",
-          "2010-02-27T18:12:00-07:00",
-          "2010-02-27T18:13:00-07:00",
-          "2010-02-27T18:14:00-07:00",
-          "2010-02-27T18:15:00-07:00",
-          "2010-02-27T18:16:00-07:00",
-          "2010-02-27T18:17:00-07:00",
-          "2010-02-27T18:18:00-07:00",
-          "2010-02-27T18:19:00-07:00",
-          "2010-02-27T18:20:00-07:00",
-          "2010-02-27T18:21:00-07:00",
-          "2010-02-27T18:22:00-07:00",
-          "2010-02-27T18:23:00-07:00",
-          "2010-02-27T18:24:00-07:00",
-          "2010-02-27T18:25:00-07:00",
-          "2010-02-27T18:26:00-07:00",
-          "2010-02-27T18:27:00-07:00",
-          "2010-02-27T18:28:00-07:00",
-          "2010-02-27T18:29:00-07:00",
-          "2010-02-27T18:30:00-07:00",
-          "2010-02-27T18:31:00-07:00",
-          "2010-02-27T18:32:00-07:00",
-          "2010-02-27T18:33:00-07:00",
-          "2010-02-27T18:34:00-07:00",
-          "2010-02-27T18:35:00-07:00",
-          "2010-02-27T18:36:00-07:00",
-          "2010-02-27T18:37:00-07:00",
-          "2010-02-27T18:38:00-07:00",
-          "2010-02-27T18:39:00-07:00",
-          "2010-02-27T18:40:00-07:00",
-          "2010-02-27T18:41:00-07:00",
-          "2010-02-27T18:42:00-07:00",
-          "2010-02-27T18:43:00-07:00",
-          "2010-02-27T18:44:00-07:00",
-          "2010-02-27T18:45:00-07:00",
-          "2010-02-27T18:46:00-07:00",
-          "2010-02-27T18:47:00-07:00",
-          "2010-02-27T18:48:00-07:00",
-          "2010-02-27T18:49:00-07:00",
-          "2010-02-27T18:50:00-07:00",
-          "2010-02-27T18:51:00-07:00",
-          "2010-02-27T18:52:00-07:00",
-          "2010-02-27T18:53:00-07:00",
-          "2010-02-27T18:54:00-07:00",
-          "2010-02-27T18:55:00-07:00",
-          "2010-02-27T18:56:00-07:00",
-          "2010-02-27T18:57:00-07:00",
-          "2010-02-27T18:58:00-07:00",
-          "2010-02-27T18:59:00-07:00",
-          "2010-02-27T19:00:00-07:00",
-          "2010-02-27T19:01:00-07:00",
-          "2010-02-27T19:02:00-07:00",
-          "2010-02-27T19:03:00-07:00",
-          "2010-02-27T19:04:00-07:00",
-          "2010-02-27T19:05:00-07:00",
-          "2010-02-27T19:06:00-07:00",
-          "2010-02-27T19:07:00-07:00",
-          "2010-02-27T19:08:00-07:00",
-          "2010-02-27T19:09:00-07:00",
-          "2010-02-27T19:10:00-07:00",
-          "2010-02-27T19:11:00-07:00",
-          "2010-02-27T19:12:00-07:00",
-          "2010-02-27T19:13:00-07:00",
-          "2010-02-27T19:14:00-07:00",
-          "2010-02-27T19:15:00-07:00",
-          "2010-02-27T19:16:00-07:00",
-          "2010-02-27T19:17:00-07:00",
-          "2010-02-27T19:18:00-07:00",
-          "2010-02-27T19:19:00-07:00",
-          "2010-02-27T19:20:00-07:00",
-          "2010-02-27T19:21:00-07:00",
-          "2010-02-27T19:22:00-07:00",
-          "2010-02-27T19:23:00-07:00",
-          "2010-02-27T19:24:00-07:00",
-          "2010-02-27T19:25:00-07:00",
-          "2010-02-27T19:26:00-07:00",
-          "2010-02-27T19:27:00-07:00",
-          "2010-02-27T19:28:00-07:00",
-          "2010-02-27T19:29:00-07:00",
-          "2010-02-27T19:30:00-07:00",
-          "2010-02-27T19:31:00-07:00",
-          "2010-02-27T19:32:00-07:00",
-          "2010-02-27T19:33:00-07:00",
-          "2010-02-27T19:34:00-07:00",
-          "2010-02-27T19:35:00-07:00",
-          "2010-02-27T19:36:00-07:00",
-          "2010-02-27T19:37:00-07:00",
-          "2010-02-27T19:38:00-07:00",
-          "2010-02-27T19:39:00-07:00",
-          "2010-02-27T19:40:00-07:00",
-          "2010-02-27T19:41:00-07:00",
-          "2010-02-27T19:42:00-07:00",
-          "2010-02-27T19:43:00-07:00",
-          "2010-02-27T19:44:00-07:00",
-          "2010-02-27T19:45:00-07:00",
-          "2010-02-27T19:46:00-07:00",
-          "2010-02-27T19:47:00-07:00",
-          "2010-02-27T19:48:00-07:00",
-          "2010-02-27T19:49:00-07:00",
-          "2010-02-27T19:50:00-07:00",
-          "2010-02-27T19:51:00-07:00",
-          "2010-02-27T19:52:00-07:00",
-          "2010-02-27T19:53:00-07:00",
-          "2010-02-27T19:54:00-07:00",
-          "2010-02-27T19:55:00-07:00",
-          "2010-02-27T19:56:00-07:00",
-          "2010-02-27T19:57:00-07:00",
-          "2010-02-27T19:58:00-07:00",
-          "2010-02-27T19:59:00-07:00",
-          "2010-02-27T20:00:00-07:00",
-          "2010-02-27T20:01:00-07:00",
-          "2010-02-27T20:02:00-07:00",
-          "2010-02-27T20:03:00-07:00",
-          "2010-02-27T20:04:00-07:00",
-          "2010-02-27T20:05:00-07:00",
-          "2010-02-27T20:06:00-07:00",
-          "2010-02-27T20:07:00-07:00",
-          "2010-02-27T20:08:00-07:00",
-          "2010-02-27T20:09:00-07:00",
-          "2010-02-27T20:10:00-07:00",
-          "2010-02-27T20:11:00-07:00",
-          "2010-02-27T20:12:00-07:00",
-          "2010-02-27T20:13:00-07:00",
-          "2010-02-27T20:14:00-07:00",
-          "2010-02-27T20:15:00-07:00",
-          "2010-02-27T20:16:00-07:00",
-          "2010-02-27T20:17:00-07:00",
-          "2010-02-27T20:18:00-07:00",
-          "2010-02-27T20:19:00-07:00",
-          "2010-02-27T20:20:00-07:00",
-          "2010-02-27T20:21:00-07:00",
-          "2010-02-27T20:22:00-07:00",
-          "2010-02-27T20:23:00-07:00",
-          "2010-02-27T20:24:00-07:00",
-          "2010-02-27T20:25:00-07:00",
-          "2010-02-27T20:26:00-07:00",
-          "2010-02-27T20:27:00-07:00",
-          "2010-02-27T20:28:00-07:00",
-          "2010-02-27T20:29:00-07:00",
-          "2010-02-27T20:30:00-07:00",
-          "2010-02-27T20:31:00-07:00",
-          "2010-02-27T20:32:00-07:00",
-          "2010-02-27T20:33:00-07:00",
-          "2010-02-27T20:34:00-07:00",
-          "2010-02-27T20:35:00-07:00",
-          "2010-02-27T20:36:00-07:00",
-          "2010-02-27T20:37:00-07:00",
-          "2010-02-27T20:38:00-07:00",
-          "2010-02-27T20:39:00-07:00",
-          "2010-02-27T20:40:00-07:00",
-          "2010-02-27T20:41:00-07:00",
-          "2010-02-27T20:42:00-07:00",
-          "2010-02-27T20:43:00-07:00",
-          "2010-02-27T20:44:00-07:00",
-          "2010-02-27T20:45:00-07:00",
-          "2010-02-27T20:46:00-07:00",
-          "2010-02-27T20:47:00-07:00",
-          "2010-02-27T20:48:00-07:00",
-          "2010-02-27T20:49:00-07:00",
-          "2010-02-27T20:50:00-07:00",
-          "2010-02-27T20:51:00-07:00",
-          "2010-02-27T20:52:00-07:00",
-          "2010-02-27T20:53:00-07:00",
-          "2010-02-27T20:54:00-07:00",
-          "2010-02-27T20:55:00-07:00",
-          "2010-02-27T20:56:00-07:00",
-          "2010-02-27T20:57:00-07:00",
-          "2010-02-27T20:58:00-07:00",
-          "2010-02-27T20:59:00-07:00",
-          "2010-02-27T21:00:00-07:00",
-          "2010-02-27T21:01:00-07:00",
-          "2010-02-27T21:02:00-07:00",
-          "2010-02-27T21:03:00-07:00",
-          "2010-02-27T21:04:00-07:00",
-          "2010-02-27T21:05:00-07:00",
-          "2010-02-27T21:06:00-07:00",
-          "2010-02-27T21:07:00-07:00",
-          "2010-02-27T21:08:00-07:00",
-          "2010-02-27T21:09:00-07:00",
-          "2010-02-27T21:10:00-07:00",
-          "2010-02-27T21:11:00-07:00",
-          "2010-02-27T21:12:00-07:00",
-          "2010-02-27T21:13:00-07:00",
-          "2010-02-27T21:14:00-07:00",
-          "2010-02-27T21:15:00-07:00",
-          "2010-02-27T21:16:00-07:00",
-          "2010-02-27T21:17:00-07:00",
-          "2010-02-27T21:18:00-07:00",
-          "2010-02-27T21:19:00-07:00",
-          "2010-02-27T21:20:00-07:00",
-          "2010-02-27T21:21:00-07:00",
-          "2010-02-27T21:22:00-07:00",
-          "2010-02-27T21:23:00-07:00",
-          "2010-02-27T21:24:00-07:00",
-          "2010-02-27T21:25:00-07:00",
-          "2010-02-27T21:26:00-07:00",
-          "2010-02-27T21:27:00-07:00",
-          "2010-02-27T21:28:00-07:00",
-          "2010-02-27T21:29:00-07:00",
-          "2010-02-27T21:30:00-07:00",
-          "2010-02-27T21:31:00-07:00",
-          "2010-02-27T21:32:00-07:00",
-          "2010-02-27T21:33:00-07:00",
-          "2010-02-27T21:34:00-07:00",
-          "2010-02-27T21:35:00-07:00",
-          "2010-02-27T21:36:00-07:00",
-          "2010-02-27T21:37:00-07:00",
-          "2010-02-27T21:38:00-07:00",
-          "2010-02-27T21:39:00-07:00",
-          "2010-02-27T21:40:00-07:00",
-          "2010-02-27T21:41:00-07:00",
-          "2010-02-27T21:42:00-07:00",
-          "2010-02-27T21:43:00-07:00",
-          "2010-02-27T21:44:00-07:00",
-          "2010-02-27T21:45:00-07:00",
-          "2010-02-27T21:46:00-07:00",
-          "2010-02-27T21:47:00-07:00",
-          "2010-02-27T21:48:00-07:00",
-          "2010-02-27T21:49:00-07:00",
-          "2010-02-27T21:50:00-07:00",
-          "2010-02-27T21:51:00-07:00",
-          "2010-02-27T21:52:00-07:00",
-          "2010-02-27T21:53:00-07:00",
-          "2010-02-27T21:54:00-07:00",
-          "2010-02-27T21:55:00-07:00",
-          "2010-02-27T21:56:00-07:00",
-          "2010-02-27T21:57:00-07:00",
-          "2010-02-27T21:58:00-07:00",
-          "2010-02-27T21:59:00-07:00",
-          "2010-02-27T22:00:00-07:00",
-          "2010-02-27T22:01:00-07:00",
-          "2010-02-27T22:02:00-07:00",
-          "2010-02-27T22:03:00-07:00",
-          "2010-02-27T22:04:00-07:00",
-          "2010-02-27T22:05:00-07:00",
-          "2010-02-27T22:06:00-07:00",
-          "2010-02-27T22:07:00-07:00",
-          "2010-02-27T22:08:00-07:00",
-          "2010-02-27T22:09:00-07:00",
-          "2010-02-27T22:10:00-07:00",
-          "2010-02-27T22:11:00-07:00",
-          "2010-02-27T22:12:00-07:00",
-          "2010-02-27T22:13:00-07:00",
-          "2010-02-27T22:14:00-07:00",
-          "2010-02-27T22:15:00-07:00",
-          "2010-02-27T22:16:00-07:00",
-          "2010-02-27T22:17:00-07:00",
-          "2010-02-27T22:18:00-07:00",
-          "2010-02-27T22:19:00-07:00",
-          "2010-02-27T22:20:00-07:00",
-          "2010-02-27T22:21:00-07:00",
-          "2010-02-27T22:22:00-07:00",
-          "2010-02-27T22:23:00-07:00",
-          "2010-02-27T22:24:00-07:00",
-          "2010-02-27T22:25:00-07:00",
-          "2010-02-27T22:26:00-07:00",
-          "2010-02-27T22:27:00-07:00",
-          "2010-02-27T22:28:00-07:00",
-          "2010-02-27T22:29:00-07:00",
-          "2010-02-27T22:30:00-07:00",
-          "2010-02-27T22:31:00-07:00",
-          "2010-02-27T22:32:00-07:00",
-          "2010-02-27T22:33:00-07:00",
-          "2010-02-27T22:34:00-07:00",
-          "2010-02-27T22:35:00-07:00",
-          "2010-02-27T22:36:00-07:00",
-          "2010-02-27T22:37:00-07:00",
-          "2010-02-27T22:38:00-07:00",
-          "2010-02-27T22:39:00-07:00",
-          "2010-02-27T22:40:00-07:00",
-          "2010-02-27T22:41:00-07:00",
-          "2010-02-27T22:42:00-07:00",
-          "2010-02-27T22:43:00-07:00",
-          "2010-02-27T22:44:00-07:00",
-          "2010-02-27T22:45:00-07:00",
-          "2010-02-27T22:46:00-07:00",
-          "2010-02-27T22:47:00-07:00",
-          "2010-02-27T22:48:00-07:00",
-          "2010-02-27T22:49:00-07:00",
-          "2010-02-27T22:50:00-07:00",
-          "2010-02-27T22:51:00-07:00",
-          "2010-02-27T22:52:00-07:00",
-          "2010-02-27T22:53:00-07:00",
-          "2010-02-27T22:54:00-07:00",
-          "2010-02-27T22:55:00-07:00",
-          "2010-02-27T22:56:00-07:00",
-          "2010-02-27T22:57:00-07:00",
-          "2010-02-27T22:58:00-07:00",
-          "2010-02-27T22:59:00-07:00",
-          "2010-02-27T23:00:00-07:00",
-          "2010-02-27T23:01:00-07:00",
-          "2010-02-27T23:02:00-07:00",
-          "2010-02-27T23:03:00-07:00",
-          "2010-02-27T23:04:00-07:00",
-          "2010-02-27T23:05:00-07:00",
-          "2010-02-27T23:06:00-07:00",
-          "2010-02-27T23:07:00-07:00",
-          "2010-02-27T23:08:00-07:00",
-          "2010-02-27T23:09:00-07:00",
-          "2010-02-27T23:10:00-07:00",
-          "2010-02-27T23:11:00-07:00",
-          "2010-02-27T23:12:00-07:00",
-          "2010-02-27T23:13:00-07:00",
-          "2010-02-27T23:14:00-07:00",
-          "2010-02-27T23:15:00-07:00",
-          "2010-02-27T23:16:00-07:00",
-          "2010-02-27T23:17:00-07:00",
-          "2010-02-27T23:18:00-07:00",
-          "2010-02-27T23:19:00-07:00",
-          "2010-02-27T23:20:00-07:00",
-          "2010-02-27T23:21:00-07:00",
-          "2010-02-27T23:22:00-07:00",
-          "2010-02-27T23:23:00-07:00",
-          "2010-02-27T23:24:00-07:00",
-          "2010-02-27T23:25:00-07:00",
-          "2010-02-27T23:26:00-07:00",
-          "2010-02-27T23:27:00-07:00",
-          "2010-02-27T23:28:00-07:00",
-          "2010-02-27T23:29:00-07:00",
-          "2010-02-27T23:30:00-07:00",
-          "2010-02-27T23:31:00-07:00",
-          "2010-02-27T23:32:00-07:00",
-          "2010-02-27T23:33:00-07:00",
-          "2010-02-27T23:34:00-07:00",
-          "2010-02-27T23:35:00-07:00",
-          "2010-02-27T23:36:00-07:00",
-          "2010-02-27T23:37:00-07:00",
-          "2010-02-27T23:38:00-07:00",
-          "2010-02-27T23:39:00-07:00",
-          "2010-02-27T23:40:00-07:00",
-          "2010-02-27T23:41:00-07:00",
-          "2010-02-27T23:42:00-07:00",
-          "2010-02-27T23:43:00-07:00",
-          "2010-02-27T23:44:00-07:00",
-          "2010-02-27T23:45:00-07:00",
-          "2010-02-27T23:46:00-07:00",
-          "2010-02-27T23:47:00-07:00",
-          "2010-02-27T23:48:00-07:00",
-          "2010-02-27T23:49:00-07:00",
-          "2010-02-27T23:50:00-07:00",
-          "2010-02-27T23:51:00-07:00",
-          "2010-02-27T23:52:00-07:00",
-          "2010-02-27T23:53:00-07:00",
-          "2010-02-27T23:54:00-07:00",
-          "2010-02-27T23:55:00-07:00",
-          "2010-02-27T23:56:00-07:00",
-          "2010-02-27T23:57:00-07:00",
-          "2010-02-27T23:58:00-07:00",
-          "2010-02-27T23:59:00-07:00",
-          "2010-02-28T00:00:00-07:00",
-          "2010-02-28T00:01:00-07:00",
-          "2010-02-28T00:02:00-07:00",
-          "2010-02-28T00:03:00-07:00",
-          "2010-02-28T00:04:00-07:00",
-          "2010-02-28T00:05:00-07:00",
-          "2010-02-28T00:06:00-07:00",
-          "2010-02-28T00:07:00-07:00",
-          "2010-02-28T00:08:00-07:00",
-          "2010-02-28T00:09:00-07:00",
-          "2010-02-28T00:10:00-07:00",
-          "2010-02-28T00:11:00-07:00",
-          "2010-02-28T00:12:00-07:00",
-          "2010-02-28T00:13:00-07:00",
-          "2010-02-28T00:14:00-07:00",
-          "2010-02-28T00:15:00-07:00",
-          "2010-02-28T00:16:00-07:00",
-          "2010-02-28T00:17:00-07:00",
-          "2010-02-28T00:18:00-07:00",
-          "2010-02-28T00:19:00-07:00",
-          "2010-02-28T00:20:00-07:00",
-          "2010-02-28T00:21:00-07:00",
-          "2010-02-28T00:22:00-07:00",
-          "2010-02-28T00:23:00-07:00",
-          "2010-02-28T00:24:00-07:00",
-          "2010-02-28T00:25:00-07:00",
-          "2010-02-28T00:26:00-07:00",
-          "2010-02-28T00:27:00-07:00",
-          "2010-02-28T00:28:00-07:00",
-          "2010-02-28T00:29:00-07:00",
-          "2010-02-28T00:30:00-07:00",
-          "2010-02-28T00:31:00-07:00",
-          "2010-02-28T00:32:00-07:00",
-          "2010-02-28T00:33:00-07:00",
-          "2010-02-28T00:34:00-07:00",
-          "2010-02-28T00:35:00-07:00",
-          "2010-02-28T00:36:00-07:00",
-          "2010-02-28T00:37:00-07:00",
-          "2010-02-28T00:38:00-07:00",
-          "2010-02-28T00:39:00-07:00",
-          "2010-02-28T00:40:00-07:00",
-          "2010-02-28T00:41:00-07:00",
-          "2010-02-28T00:42:00-07:00",
-          "2010-02-28T00:43:00-07:00",
-          "2010-02-28T00:44:00-07:00",
-          "2010-02-28T00:45:00-07:00",
-          "2010-02-28T00:46:00-07:00",
-          "2010-02-28T00:47:00-07:00",
-          "2010-02-28T00:48:00-07:00",
-          "2010-02-28T00:49:00-07:00",
-          "2010-02-28T00:50:00-07:00",
-          "2010-02-28T00:51:00-07:00",
-          "2010-02-28T00:52:00-07:00",
-          "2010-02-28T00:53:00-07:00",
-          "2010-02-28T00:54:00-07:00",
-          "2010-02-28T00:55:00-07:00",
-          "2010-02-28T00:56:00-07:00",
-          "2010-02-28T00:57:00-07:00",
-          "2010-02-28T00:58:00-07:00",
-          "2010-02-28T00:59:00-07:00",
-          "2010-02-28T01:00:00-07:00",
-          "2010-02-28T01:01:00-07:00",
-          "2010-02-28T01:02:00-07:00",
-          "2010-02-28T01:03:00-07:00",
-          "2010-02-28T01:04:00-07:00",
-          "2010-02-28T01:05:00-07:00",
-          "2010-02-28T01:06:00-07:00",
-          "2010-02-28T01:07:00-07:00",
-          "2010-02-28T01:08:00-07:00",
-          "2010-02-28T01:09:00-07:00",
-          "2010-02-28T01:10:00-07:00",
-          "2010-02-28T01:11:00-07:00",
-          "2010-02-28T01:12:00-07:00",
-          "2010-02-28T01:13:00-07:00",
-          "2010-02-28T01:14:00-07:00",
-          "2010-02-28T01:15:00-07:00",
-          "2010-02-28T01:16:00-07:00",
-          "2010-02-28T01:17:00-07:00",
-          "2010-02-28T01:18:00-07:00",
-          "2010-02-28T01:19:00-07:00",
-          "2010-02-28T01:20:00-07:00",
-          "2010-02-28T01:21:00-07:00",
-          "2010-02-28T01:22:00-07:00",
-          "2010-02-28T01:23:00-07:00",
-          "2010-02-28T01:24:00-07:00",
-          "2010-02-28T01:25:00-07:00",
-          "2010-02-28T01:26:00-07:00",
-          "2010-02-28T01:27:00-07:00",
-          "2010-02-28T01:28:00-07:00",
-          "2010-02-28T01:29:00-07:00",
-          "2010-02-28T01:30:00-07:00",
-          "2010-02-28T01:31:00-07:00",
-          "2010-02-28T01:32:00-07:00",
-          "2010-02-28T01:33:00-07:00",
-          "2010-02-28T01:34:00-07:00",
-          "2010-02-28T01:35:00-07:00",
-          "2010-02-28T01:36:00-07:00",
-          "2010-02-28T01:37:00-07:00",
-          "2010-02-28T01:38:00-07:00",
-          "2010-02-28T01:39:00-07:00",
-          "2010-02-28T01:40:00-07:00",
-          "2010-02-28T01:41:00-07:00",
-          "2010-02-28T01:42:00-07:00",
-          "2010-02-28T01:43:00-07:00",
-          "2010-02-28T01:44:00-07:00",
-          "2010-02-28T01:45:00-07:00",
-          "2010-02-28T01:46:00-07:00",
-          "2010-02-28T01:47:00-07:00",
-          "2010-02-28T01:48:00-07:00",
-          "2010-02-28T01:49:00-07:00",
-          "2010-02-28T01:50:00-07:00",
-          "2010-02-28T01:51:00-07:00",
-          "2010-02-28T01:52:00-07:00",
-          "2010-02-28T01:53:00-07:00",
-          "2010-02-28T01:54:00-07:00",
-          "2010-02-28T01:55:00-07:00",
-          "2010-02-28T01:56:00-07:00",
-          "2010-02-28T01:57:00-07:00",
-          "2010-02-28T01:58:00-07:00",
-          "2010-02-28T01:59:00-07:00",
-          "2010-02-28T02:00:00-07:00",
-          "2010-02-28T02:01:00-07:00",
-          "2010-02-28T02:02:00-07:00",
-          "2010-02-28T02:03:00-07:00",
-          "2010-02-28T02:04:00-07:00",
-          "2010-02-28T02:05:00-07:00",
-          "2010-02-28T02:06:00-07:00",
-          "2010-02-28T02:07:00-07:00",
-          "2010-02-28T02:08:00-07:00",
-          "2010-02-28T02:09:00-07:00",
-          "2010-02-28T02:10:00-07:00",
-          "2010-02-28T02:11:00-07:00",
-          "2010-02-28T02:12:00-07:00",
-          "2010-02-28T02:13:00-07:00",
-          "2010-02-28T02:14:00-07:00",
-          "2010-02-28T02:15:00-07:00",
-          "2010-02-28T02:16:00-07:00",
-          "2010-02-28T02:17:00-07:00",
-          "2010-02-28T02:18:00-07:00",
-          "2010-02-28T02:19:00-07:00",
-          "2010-02-28T02:20:00-07:00",
-          "2010-02-28T02:21:00-07:00",
-          "2010-02-28T02:22:00-07:00",
-          "2010-02-28T02:23:00-07:00",
-          "2010-02-28T02:24:00-07:00",
-          "2010-02-28T02:25:00-07:00",
-          "2010-02-28T02:26:00-07:00",
-          "2010-02-28T02:27:00-07:00",
-          "2010-02-28T02:28:00-07:00",
-          "2010-02-28T02:29:00-07:00",
-          "2010-02-28T02:30:00-07:00",
-          "2010-02-28T02:31:00-07:00",
-          "2010-02-28T02:32:00-07:00",
-          "2010-02-28T02:33:00-07:00",
-          "2010-02-28T02:34:00-07:00",
-          "2010-02-28T02:35:00-07:00",
-          "2010-02-28T02:36:00-07:00",
-          "2010-02-28T02:37:00-07:00",
-          "2010-02-28T02:38:00-07:00",
-          "2010-02-28T02:39:00-07:00",
-          "2010-02-28T02:40:00-07:00",
-          "2010-02-28T02:41:00-07:00",
-          "2010-02-28T02:42:00-07:00",
-          "2010-02-28T02:43:00-07:00",
-          "2010-02-28T02:44:00-07:00",
-          "2010-02-28T02:45:00-07:00",
-          "2010-02-28T02:46:00-07:00",
-          "2010-02-28T02:47:00-07:00",
-          "2010-02-28T02:48:00-07:00",
-          "2010-02-28T02:49:00-07:00",
-          "2010-02-28T02:50:00-07:00",
-          "2010-02-28T02:51:00-07:00",
-          "2010-02-28T02:52:00-07:00",
-          "2010-02-28T02:53:00-07:00",
-          "2010-02-28T02:54:00-07:00",
-          "2010-02-28T02:55:00-07:00",
-          "2010-02-28T02:56:00-07:00",
-          "2010-02-28T02:57:00-07:00",
-          "2010-02-28T02:58:00-07:00",
-          "2010-02-28T02:59:00-07:00",
-          "2010-02-28T03:00:00-07:00",
-          "2010-02-28T03:01:00-07:00",
-          "2010-02-28T03:02:00-07:00",
-          "2010-02-28T03:03:00-07:00",
-          "2010-02-28T03:04:00-07:00",
-          "2010-02-28T03:05:00-07:00",
-          "2010-02-28T03:06:00-07:00",
-          "2010-02-28T03:07:00-07:00",
-          "2010-02-28T03:08:00-07:00",
-          "2010-02-28T03:09:00-07:00",
-          "2010-02-28T03:10:00-07:00",
-          "2010-02-28T03:11:00-07:00",
-          "2010-02-28T03:12:00-07:00",
-          "2010-02-28T03:13:00-07:00",
-          "2010-02-28T03:14:00-07:00",
-          "2010-02-28T03:15:00-07:00",
-          "2010-02-28T03:16:00-07:00",
-          "2010-02-28T03:17:00-07:00",
-          "2010-02-28T03:18:00-07:00",
-          "2010-02-28T03:19:00-07:00",
-          "2010-02-28T03:20:00-07:00",
-          "2010-02-28T03:21:00-07:00",
-          "2010-02-28T03:22:00-07:00",
-          "2010-02-28T03:23:00-07:00",
-          "2010-02-28T03:24:00-07:00",
-          "2010-02-28T03:25:00-07:00",
-          "2010-02-28T03:26:00-07:00",
-          "2010-02-28T03:27:00-07:00",
-          "2010-02-28T03:28:00-07:00",
-          "2010-02-28T03:29:00-07:00",
-          "2010-02-28T03:30:00-07:00",
-          "2010-02-28T03:31:00-07:00",
-          "2010-02-28T03:32:00-07:00",
-          "2010-02-28T03:33:00-07:00",
-          "2010-02-28T03:34:00-07:00",
-          "2010-02-28T03:35:00-07:00",
-          "2010-02-28T03:36:00-07:00",
-          "2010-02-28T03:37:00-07:00",
-          "2010-02-28T03:38:00-07:00",
-          "2010-02-28T03:39:00-07:00",
-          "2010-02-28T03:40:00-07:00",
-          "2010-02-28T03:41:00-07:00",
-          "2010-02-28T03:42:00-07:00",
-          "2010-02-28T03:43:00-07:00",
-          "2010-02-28T03:44:00-07:00",
-          "2010-02-28T03:45:00-07:00",
-          "2010-02-28T03:46:00-07:00",
-          "2010-02-28T03:47:00-07:00",
-          "2010-02-28T03:48:00-07:00",
-          "2010-02-28T03:49:00-07:00",
-          "2010-02-28T03:50:00-07:00",
-          "2010-02-28T03:51:00-07:00",
-          "2010-02-28T03:52:00-07:00",
-          "2010-02-28T03:53:00-07:00",
-          "2010-02-28T03:54:00-07:00",
-          "2010-02-28T03:55:00-07:00",
-          "2010-02-28T03:56:00-07:00",
-          "2010-02-28T03:57:00-07:00",
-          "2010-02-28T03:58:00-07:00",
-          "2010-02-28T03:59:00-07:00",
-          "2010-02-28T04:00:00-07:00",
-          "2010-02-28T04:01:00-07:00",
-          "2010-02-28T04:02:00-07:00",
-          "2010-02-28T04:03:00-07:00",
-          "2010-02-28T04:04:00-07:00",
-          "2010-02-28T04:05:00-07:00",
-          "2010-02-28T04:06:00-07:00",
-          "2010-02-28T04:07:00-07:00",
-          "2010-02-28T04:08:00-07:00",
-          "2010-02-28T04:09:00-07:00",
-          "2010-02-28T04:10:00-07:00",
-          "2010-02-28T04:11:00-07:00",
-          "2010-02-28T04:12:00-07:00",
-          "2010-02-28T04:13:00-07:00",
-          "2010-02-28T04:14:00-07:00",
-          "2010-02-28T04:15:00-07:00",
-          "2010-02-28T04:16:00-07:00",
-          "2010-02-28T04:17:00-07:00",
-          "2010-02-28T04:18:00-07:00",
-          "2010-02-28T04:19:00-07:00",
-          "2010-02-28T04:20:00-07:00",
-          "2010-02-28T04:21:00-07:00",
-          "2010-02-28T04:22:00-07:00",
-          "2010-02-28T04:23:00-07:00",
-          "2010-02-28T04:24:00-07:00",
-          "2010-02-28T04:25:00-07:00",
-          "2010-02-28T04:26:00-07:00",
-          "2010-02-28T04:27:00-07:00",
-          "2010-02-28T04:28:00-07:00",
-          "2010-02-28T04:29:00-07:00",
-          "2010-02-28T04:30:00-07:00",
-          "2010-02-28T04:31:00-07:00",
-          "2010-02-28T04:32:00-07:00",
-          "2010-02-28T04:33:00-07:00",
-          "2010-02-28T04:34:00-07:00",
-          "2010-02-28T04:35:00-07:00",
-          "2010-02-28T04:36:00-07:00",
-          "2010-02-28T04:37:00-07:00",
-          "2010-02-28T04:38:00-07:00",
-          "2010-02-28T04:39:00-07:00",
-          "2010-02-28T04:40:00-07:00",
-          "2010-02-28T04:41:00-07:00",
-          "2010-02-28T04:42:00-07:00",
-          "2010-02-28T04:43:00-07:00",
-          "2010-02-28T04:44:00-07:00",
-          "2010-02-28T04:45:00-07:00",
-          "2010-02-28T04:46:00-07:00",
-          "2010-02-28T04:47:00-07:00",
-          "2010-02-28T04:48:00-07:00",
-          "2010-02-28T04:49:00-07:00",
-          "2010-02-28T04:50:00-07:00",
-          "2010-02-28T04:51:00-07:00",
-          "2010-02-28T04:52:00-07:00",
-          "2010-02-28T04:53:00-07:00",
-          "2010-02-28T04:54:00-07:00",
-          "2010-02-28T04:55:00-07:00",
-          "2010-02-28T04:56:00-07:00",
-          "2010-02-28T04:57:00-07:00",
-          "2010-02-28T04:58:00-07:00",
-          "2010-02-28T04:59:00-07:00",
-          "2010-02-28T05:00:00-07:00",
-          "2010-02-28T05:01:00-07:00",
-          "2010-02-28T05:02:00-07:00",
-          "2010-02-28T05:03:00-07:00",
-          "2010-02-28T05:04:00-07:00",
-          "2010-02-28T05:05:00-07:00",
-          "2010-02-28T05:06:00-07:00",
-          "2010-02-28T05:07:00-07:00",
-          "2010-02-28T05:08:00-07:00",
-          "2010-02-28T05:09:00-07:00",
-          "2010-02-28T05:10:00-07:00",
-          "2010-02-28T05:11:00-07:00",
-          "2010-02-28T05:12:00-07:00",
-          "2010-02-28T05:13:00-07:00",
-          "2010-02-28T05:14:00-07:00",
-          "2010-02-28T05:15:00-07:00",
-          "2010-02-28T05:16:00-07:00",
-          "2010-02-28T05:17:00-07:00",
-          "2010-02-28T05:18:00-07:00",
-          "2010-02-28T05:19:00-07:00",
-          "2010-02-28T05:20:00-07:00",
-          "2010-02-28T05:21:00-07:00",
-          "2010-02-28T05:22:00-07:00",
-          "2010-02-28T05:23:00-07:00",
-          "2010-02-28T05:24:00-07:00",
-          "2010-02-28T05:25:00-07:00",
-          "2010-02-28T05:26:00-07:00",
-          "2010-02-28T05:27:00-07:00",
-          "2010-02-28T05:28:00-07:00",
-          "2010-02-28T05:29:00-07:00",
-          "2010-02-28T05:30:00-07:00",
-          "2010-02-28T05:31:00-07:00",
-          "2010-02-28T05:32:00-07:00",
-          "2010-02-28T05:33:00-07:00",
-          "2010-02-28T05:34:00-07:00",
-          "2010-02-28T05:35:00-07:00",
-          "2010-02-28T05:36:00-07:00",
-          "2010-02-28T05:37:00-07:00",
-          "2010-02-28T05:38:00-07:00",
-          "2010-02-28T05:39:00-07:00",
-          "2010-02-28T05:40:00-07:00",
-          "2010-02-28T05:41:00-07:00",
-          "2010-02-28T05:42:00-07:00",
-          "2010-02-28T05:43:00-07:00",
-          "2010-02-28T05:44:00-07:00",
-          "2010-02-28T05:45:00-07:00",
-          "2010-02-28T05:46:00-07:00",
-          "2010-02-28T05:47:00-07:00",
-          "2010-02-28T05:48:00-07:00",
-          "2010-02-28T05:49:00-07:00",
-          "2010-02-28T05:50:00-07:00",
-          "2010-02-28T05:51:00-07:00",
-          "2010-02-28T05:52:00-07:00",
-          "2010-02-28T05:53:00-07:00",
-          "2010-02-28T05:54:00-07:00",
-          "2010-02-28T05:55:00-07:00",
-          "2010-02-28T05:56:00-07:00",
-          "2010-02-28T05:57:00-07:00",
-          "2010-02-28T05:58:00-07:00",
-          "2010-02-28T05:59:00-07:00",
-          "2010-02-28T06:00:00-07:00",
-          "2010-02-28T06:01:00-07:00",
-          "2010-02-28T06:02:00-07:00",
-          "2010-02-28T06:03:00-07:00",
-          "2010-02-28T06:04:00-07:00",
-          "2010-02-28T06:05:00-07:00",
-          "2010-02-28T06:06:00-07:00",
-          "2010-02-28T06:07:00-07:00",
-          "2010-02-28T06:08:00-07:00",
-          "2010-02-28T06:09:00-07:00",
-          "2010-02-28T06:10:00-07:00",
-          "2010-02-28T06:11:00-07:00",
-          "2010-02-28T06:12:00-07:00",
-          "2010-02-28T06:13:00-07:00",
-          "2010-02-28T06:14:00-07:00",
-          "2010-02-28T06:15:00-07:00",
-          "2010-02-28T06:16:00-07:00",
-          "2010-02-28T06:17:00-07:00",
-          "2010-02-28T06:18:00-07:00",
-          "2010-02-28T06:19:00-07:00",
-          "2010-02-28T06:20:00-07:00",
-          "2010-02-28T06:21:00-07:00",
-          "2010-02-28T06:22:00-07:00",
-          "2010-02-28T06:23:00-07:00",
-          "2010-02-28T06:24:00-07:00",
-          "2010-02-28T06:25:00-07:00",
-          "2010-02-28T06:26:00-07:00",
-          "2010-02-28T06:27:00-07:00",
-          "2010-02-28T06:28:00-07:00",
-          "2010-02-28T06:29:00-07:00",
-          "2010-02-28T06:30:00-07:00",
-          "2010-02-28T06:31:00-07:00",
-          "2010-02-28T06:32:00-07:00",
-          "2010-02-28T06:33:00-07:00",
-          "2010-02-28T06:34:00-07:00",
-          "2010-02-28T06:35:00-07:00",
-          "2010-02-28T06:36:00-07:00",
-          "2010-02-28T06:37:00-07:00",
-          "2010-02-28T06:38:00-07:00",
-          "2010-02-28T06:39:00-07:00",
-          "2010-02-28T06:40:00-07:00",
-          "2010-02-28T06:41:00-07:00",
-          "2010-02-28T06:42:00-07:00",
-          "2010-02-28T06:43:00-07:00",
-          "2010-02-28T06:44:00-07:00",
-          "2010-02-28T06:45:00-07:00",
-          "2010-02-28T06:46:00-07:00",
-          "2010-02-28T06:47:00-07:00",
-          "2010-02-28T06:48:00-07:00",
-          "2010-02-28T06:49:00-07:00",
-          "2010-02-28T06:50:00-07:00",
-          "2010-02-28T06:51:00-07:00",
-          "2010-02-28T06:52:00-07:00",
-          "2010-02-28T06:53:00-07:00",
-          "2010-02-28T06:54:00-07:00",
-          "2010-02-28T06:55:00-07:00",
-          "2010-02-28T06:56:00-07:00",
-          "2010-02-28T06:57:00-07:00",
-          "2010-02-28T06:58:00-07:00",
-          "2010-02-28T06:59:00-07:00",
-          "2010-02-28T07:00:00-07:00",
-          "2010-02-28T07:01:00-07:00",
-          "2010-02-28T07:02:00-07:00",
-          "2010-02-28T07:03:00-07:00",
-          "2010-02-28T07:04:00-07:00",
-          "2010-02-28T07:05:00-07:00",
-          "2010-02-28T07:06:00-07:00",
-          "2010-02-28T07:07:00-07:00",
-          "2010-02-28T07:08:00-07:00",
-          "2010-02-28T07:09:00-07:00",
-          "2010-02-28T07:10:00-07:00",
-          "2010-02-28T07:11:00-07:00",
-          "2010-02-28T07:12:00-07:00",
-          "2010-02-28T07:13:00-07:00",
-          "2010-02-28T07:14:00-07:00",
-          "2010-02-28T07:15:00-07:00",
-          "2010-02-28T07:16:00-07:00",
-          "2010-02-28T07:17:00-07:00",
-          "2010-02-28T07:18:00-07:00",
-          "2010-02-28T07:19:00-07:00",
-          "2010-02-28T07:20:00-07:00",
-          "2010-02-28T07:21:00-07:00",
-          "2010-02-28T07:22:00-07:00",
-          "2010-02-28T07:23:00-07:00",
-          "2010-02-28T07:24:00-07:00",
-          "2010-02-28T07:25:00-07:00",
-          "2010-02-28T07:26:00-07:00",
-          "2010-02-28T07:27:00-07:00",
-          "2010-02-28T07:28:00-07:00",
-          "2010-02-28T07:29:00-07:00",
-          "2010-02-28T07:30:00-07:00",
-          "2010-02-28T07:31:00-07:00",
-          "2010-02-28T07:32:00-07:00",
-          "2010-02-28T07:33:00-07:00",
-          "2010-02-28T07:34:00-07:00",
-          "2010-02-28T07:35:00-07:00",
-          "2010-02-28T07:36:00-07:00",
-          "2010-02-28T07:37:00-07:00",
-          "2010-02-28T07:38:00-07:00",
-          "2010-02-28T07:39:00-07:00",
-          "2010-02-28T07:40:00-07:00",
-          "2010-02-28T07:41:00-07:00",
-          "2010-02-28T07:42:00-07:00",
-          "2010-02-28T07:43:00-07:00",
-          "2010-02-28T07:44:00-07:00",
-          "2010-02-28T07:45:00-07:00",
-          "2010-02-28T07:46:00-07:00",
-          "2010-02-28T07:47:00-07:00",
-          "2010-02-28T07:48:00-07:00",
-          "2010-02-28T07:49:00-07:00",
-          "2010-02-28T07:50:00-07:00",
-          "2010-02-28T07:51:00-07:00",
-          "2010-02-28T07:52:00-07:00",
-          "2010-02-28T07:53:00-07:00",
-          "2010-02-28T07:54:00-07:00",
-          "2010-02-28T07:55:00-07:00",
-          "2010-02-28T07:56:00-07:00",
-          "2010-02-28T07:57:00-07:00",
-          "2010-02-28T07:58:00-07:00",
-          "2010-02-28T07:59:00-07:00",
-          "2010-02-28T08:00:00-07:00",
-          "2010-02-28T08:01:00-07:00",
-          "2010-02-28T08:02:00-07:00",
-          "2010-02-28T08:03:00-07:00",
-          "2010-02-28T08:04:00-07:00",
-          "2010-02-28T08:05:00-07:00",
-          "2010-02-28T08:06:00-07:00",
-          "2010-02-28T08:07:00-07:00",
-          "2010-02-28T08:08:00-07:00",
-          "2010-02-28T08:09:00-07:00",
-          "2010-02-28T08:10:00-07:00",
-          "2010-02-28T08:11:00-07:00",
-          "2010-02-28T08:12:00-07:00",
-          "2010-02-28T08:13:00-07:00",
-          "2010-02-28T08:14:00-07:00",
-          "2010-02-28T08:15:00-07:00",
-          "2010-02-28T08:16:00-07:00",
-          "2010-02-28T08:17:00-07:00",
-          "2010-02-28T08:18:00-07:00",
-          "2010-02-28T08:19:00-07:00",
-          "2010-02-28T08:20:00-07:00",
-          "2010-02-28T08:21:00-07:00",
-          "2010-02-28T08:22:00-07:00",
-          "2010-02-28T08:23:00-07:00",
-          "2010-02-28T08:24:00-07:00",
-          "2010-02-28T08:25:00-07:00",
-          "2010-02-28T08:26:00-07:00",
-          "2010-02-28T08:27:00-07:00",
-          "2010-02-28T08:28:00-07:00",
-          "2010-02-28T08:29:00-07:00",
-          "2010-02-28T08:30:00-07:00",
-          "2010-02-28T08:31:00-07:00",
-          "2010-02-28T08:32:00-07:00",
-          "2010-02-28T08:33:00-07:00",
-          "2010-02-28T08:34:00-07:00",
-          "2010-02-28T08:35:00-07:00",
-          "2010-02-28T08:36:00-07:00",
-          "2010-02-28T08:37:00-07:00",
-          "2010-02-28T08:38:00-07:00",
-          "2010-02-28T08:39:00-07:00",
-          "2010-02-28T08:40:00-07:00",
-          "2010-02-28T08:41:00-07:00",
-          "2010-02-28T08:42:00-07:00",
-          "2010-02-28T08:43:00-07:00",
-          "2010-02-28T08:44:00-07:00",
-          "2010-02-28T08:45:00-07:00",
-          "2010-02-28T08:46:00-07:00",
-          "2010-02-28T08:47:00-07:00",
-          "2010-02-28T08:48:00-07:00",
-          "2010-02-28T08:49:00-07:00",
-          "2010-02-28T08:50:00-07:00",
-          "2010-02-28T08:51:00-07:00",
-          "2010-02-28T08:52:00-07:00",
-          "2010-02-28T08:53:00-07:00",
-          "2010-02-28T08:54:00-07:00",
-          "2010-02-28T08:55:00-07:00",
-          "2010-02-28T08:56:00-07:00",
-          "2010-02-28T08:57:00-07:00",
-          "2010-02-28T08:58:00-07:00",
-          "2010-02-28T08:59:00-07:00",
-          "2010-02-28T09:00:00-07:00",
-          "2010-02-28T09:01:00-07:00",
-          "2010-02-28T09:02:00-07:00",
-          "2010-02-28T09:03:00-07:00",
-          "2010-02-28T09:04:00-07:00",
-          "2010-02-28T09:05:00-07:00",
-          "2010-02-28T09:06:00-07:00",
-          "2010-02-28T09:07:00-07:00",
-          "2010-02-28T09:08:00-07:00",
-          "2010-02-28T09:09:00-07:00",
-          "2010-02-28T09:10:00-07:00",
-          "2010-02-28T09:11:00-07:00",
-          "2010-02-28T09:12:00-07:00",
-          "2010-02-28T09:13:00-07:00",
-          "2010-02-28T09:14:00-07:00",
-          "2010-02-28T09:15:00-07:00",
-          "2010-02-28T09:16:00-07:00",
-          "2010-02-28T09:17:00-07:00",
-          "2010-02-28T09:18:00-07:00",
-          "2010-02-28T09:19:00-07:00",
-          "2010-02-28T09:20:00-07:00",
-          "2010-02-28T09:21:00-07:00",
-          "2010-02-28T09:22:00-07:00",
-          "2010-02-28T09:23:00-07:00",
-          "2010-02-28T09:24:00-07:00",
-          "2010-02-28T09:25:00-07:00",
-          "2010-02-28T09:26:00-07:00",
-          "2010-02-28T09:27:00-07:00",
-          "2010-02-28T09:28:00-07:00",
-          "2010-02-28T09:29:00-07:00",
-          "2010-02-28T09:30:00-07:00",
-          "2010-02-28T09:31:00-07:00",
-          "2010-02-28T09:32:00-07:00",
-          "2010-02-28T09:33:00-07:00",
-          "2010-02-28T09:34:00-07:00",
-          "2010-02-28T09:35:00-07:00",
-          "2010-02-28T09:36:00-07:00",
-          "2010-02-28T09:37:00-07:00",
-          "2010-02-28T09:38:00-07:00",
-          "2010-02-28T09:39:00-07:00",
-          "2010-02-28T09:40:00-07:00",
-          "2010-02-28T09:41:00-07:00",
-          "2010-02-28T09:42:00-07:00",
-          "2010-02-28T09:43:00-07:00",
-          "2010-02-28T09:44:00-07:00",
-          "2010-02-28T09:45:00-07:00",
-          "2010-02-28T09:46:00-07:00",
-          "2010-02-28T09:47:00-07:00",
-          "2010-02-28T09:48:00-07:00",
-          "2010-02-28T09:49:00-07:00",
-          "2010-02-28T09:50:00-07:00",
-          "2010-02-28T09:51:00-07:00",
-          "2010-02-28T09:52:00-07:00",
-          "2010-02-28T09:53:00-07:00",
-          "2010-02-28T09:54:00-07:00",
-          "2010-02-28T09:55:00-07:00",
-          "2010-02-28T09:56:00-07:00",
-          "2010-02-28T09:57:00-07:00",
-          "2010-02-28T09:58:00-07:00",
-          "2010-02-28T09:59:00-07:00",
-          "2010-02-28T10:00:00-07:00",
-          "2010-02-28T10:01:00-07:00",
-          "2010-02-28T10:02:00-07:00",
-          "2010-02-28T10:03:00-07:00",
-          "2010-02-28T10:04:00-07:00",
-          "2010-02-28T10:05:00-07:00",
-          "2010-02-28T10:06:00-07:00",
-          "2010-02-28T10:07:00-07:00",
-          "2010-02-28T10:08:00-07:00",
-          "2010-02-28T10:09:00-07:00",
-          "2010-02-28T10:10:00-07:00",
-          "2010-02-28T10:11:00-07:00",
-          "2010-02-28T10:12:00-07:00",
-          "2010-02-28T10:13:00-07:00",
-          "2010-02-28T10:14:00-07:00",
-          "2010-02-28T10:15:00-07:00",
-          "2010-02-28T10:16:00-07:00",
-          "2010-02-28T10:17:00-07:00",
-          "2010-02-28T10:18:00-07:00",
-          "2010-02-28T10:19:00-07:00",
-          "2010-02-28T10:20:00-07:00",
-          "2010-02-28T10:21:00-07:00",
-          "2010-02-28T10:22:00-07:00",
-          "2010-02-28T10:23:00-07:00",
-          "2010-02-28T10:24:00-07:00",
-          "2010-02-28T10:25:00-07:00",
-          "2010-02-28T10:26:00-07:00",
-          "2010-02-28T10:27:00-07:00",
-          "2010-02-28T10:28:00-07:00",
-          "2010-02-28T10:29:00-07:00",
-          "2010-02-28T10:30:00-07:00",
-          "2010-02-28T10:31:00-07:00",
-          "2010-02-28T10:32:00-07:00",
-          "2010-02-28T10:33:00-07:00",
-          "2010-02-28T10:34:00-07:00",
-          "2010-02-28T10:35:00-07:00",
-          "2010-02-28T10:36:00-07:00",
-          "2010-02-28T10:37:00-07:00",
-          "2010-02-28T10:38:00-07:00",
-          "2010-02-28T10:39:00-07:00",
-          "2010-02-28T10:40:00-07:00",
-          "2010-02-28T10:41:00-07:00",
-          "2010-02-28T10:42:00-07:00",
-          "2010-02-28T10:43:00-07:00",
-          "2010-02-28T10:44:00-07:00",
-          "2010-02-28T10:45:00-07:00",
-          "2010-02-28T10:46:00-07:00",
-          "2010-02-28T10:47:00-07:00",
-          "2010-02-28T10:48:00-07:00",
-          "2010-02-28T10:49:00-07:00",
-          "2010-02-28T10:50:00-07:00",
-          "2010-02-28T10:51:00-07:00",
-          "2010-02-28T10:52:00-07:00",
-          "2010-02-28T10:53:00-07:00",
-          "2010-02-28T10:54:00-07:00",
-          "2010-02-28T10:55:00-07:00",
-          "2010-02-28T10:56:00-07:00",
-          "2010-02-28T10:57:00-07:00",
-          "2010-02-28T10:58:00-07:00",
-          "2010-02-28T10:59:00-07:00",
-          "2010-02-28T11:00:00-07:00",
-          "2010-02-28T11:01:00-07:00",
-          "2010-02-28T11:02:00-07:00",
-          "2010-02-28T11:03:00-07:00",
-          "2010-02-28T11:04:00-07:00",
-          "2010-02-28T11:05:00-07:00",
-          "2010-02-28T11:06:00-07:00",
-          "2010-02-28T11:07:00-07:00",
-          "2010-02-28T11:08:00-07:00",
-          "2010-02-28T11:09:00-07:00",
-          "2010-02-28T11:10:00-07:00",
-          "2010-02-28T11:11:00-07:00",
-          "2010-02-28T11:12:00-07:00",
-          "2010-02-28T11:13:00-07:00",
-          "2010-02-28T11:14:00-07:00",
-          "2010-02-28T11:15:00-07:00",
-          "2010-02-28T11:16:00-07:00",
-          "2010-02-28T11:17:00-07:00",
-          "2010-02-28T11:18:00-07:00",
-          "2010-02-28T11:19:00-07:00",
-          "2010-02-28T11:20:00-07:00",
-          "2010-02-28T11:21:00-07:00",
-          "2010-02-28T11:22:00-07:00",
-          "2010-02-28T11:23:00-07:00",
-          "2010-02-28T11:24:00-07:00",
-          "2010-02-28T11:25:00-07:00",
-          "2010-02-28T11:26:00-07:00",
-          "2010-02-28T11:27:00-07:00",
-          "2010-02-28T11:28:00-07:00",
-          "2010-02-28T11:29:00-07:00",
-          "2010-02-28T11:30:00-07:00",
-          "2010-02-28T11:31:00-07:00",
-          "2010-02-28T11:32:00-07:00",
-          "2010-02-28T11:33:00-07:00",
-          "2010-02-28T11:34:00-07:00",
-          "2010-02-28T11:35:00-07:00",
-          "2010-02-28T11:36:00-07:00",
-          "2010-02-28T11:37:00-07:00",
-          "2010-02-28T11:38:00-07:00",
-          "2010-02-28T11:39:00-07:00",
-          "2010-02-28T11:40:00-07:00",
-          "2010-02-28T11:41:00-07:00",
-          "2010-02-28T11:42:00-07:00",
-          "2010-02-28T11:43:00-07:00",
-          "2010-02-28T11:44:00-07:00",
-          "2010-02-28T11:45:00-07:00",
-          "2010-02-28T11:46:00-07:00",
-          "2010-02-28T11:47:00-07:00",
-          "2010-02-28T11:48:00-07:00",
-          "2010-02-28T11:49:00-07:00",
-          "2010-02-28T11:50:00-07:00",
-          "2010-02-28T11:51:00-07:00",
-          "2010-02-28T11:52:00-07:00",
-          "2010-02-28T11:53:00-07:00",
-          "2010-02-28T11:54:00-07:00",
-          "2010-02-28T11:55:00-07:00",
-          "2010-02-28T11:56:00-07:00",
-          "2010-02-28T11:57:00-07:00",
-          "2010-02-28T11:58:00-07:00",
-          "2010-02-28T11:59:00-07:00",
-          "2010-02-28T12:00:00-07:00",
-          "2010-02-28T12:01:00-07:00",
-          "2010-02-28T12:02:00-07:00",
-          "2010-02-28T12:03:00-07:00",
-          "2010-02-28T12:04:00-07:00",
-          "2010-02-28T12:05:00-07:00",
-          "2010-02-28T12:06:00-07:00",
-          "2010-02-28T12:07:00-07:00",
-          "2010-02-28T12:08:00-07:00",
-          "2010-02-28T12:09:00-07:00",
-          "2010-02-28T12:10:00-07:00",
-          "2010-02-28T12:11:00-07:00",
-          "2010-02-28T12:12:00-07:00",
-          "2010-02-28T12:13:00-07:00",
-          "2010-02-28T12:14:00-07:00",
-          "2010-02-28T12:15:00-07:00",
-          "2010-02-28T12:16:00-07:00",
-          "2010-02-28T12:17:00-07:00",
-          "2010-02-28T12:18:00-07:00",
-          "2010-02-28T12:19:00-07:00",
-          "2010-02-28T12:20:00-07:00",
-          "2010-02-28T12:21:00-07:00",
-          "2010-02-28T12:22:00-07:00",
-          "2010-02-28T12:23:00-07:00",
-          "2010-02-28T12:24:00-07:00",
-          "2010-02-28T12:25:00-07:00",
-          "2010-02-28T12:26:00-07:00",
-          "2010-02-28T12:27:00-07:00",
-          "2010-02-28T12:28:00-07:00",
-          "2010-02-28T12:29:00-07:00",
-          "2010-02-28T12:30:00-07:00",
-          "2010-02-28T12:31:00-07:00",
-          "2010-02-28T12:32:00-07:00",
-          "2010-02-28T12:33:00-07:00",
-          "2010-02-28T12:34:00-07:00",
-          "2010-02-28T12:35:00-07:00",
-          "2010-02-28T12:36:00-07:00",
-          "2010-02-28T12:37:00-07:00",
-          "2010-02-28T12:38:00-07:00",
-          "2010-02-28T12:39:00-07:00",
-          "2010-02-28T12:40:00-07:00",
-          "2010-02-28T12:41:00-07:00",
-          "2010-02-28T12:42:00-07:00",
-          "2010-02-28T12:43:00-07:00",
-          "2010-02-28T12:44:00-07:00",
-          "2010-02-28T12:45:00-07:00",
-          "2010-02-28T12:46:00-07:00",
-          "2010-02-28T12:47:00-07:00",
-          "2010-02-28T12:48:00-07:00",
-          "2010-02-28T12:49:00-07:00",
-          "2010-02-28T12:50:00-07:00",
-          "2010-02-28T12:51:00-07:00",
-          "2010-02-28T12:52:00-07:00",
-          "2010-02-28T12:53:00-07:00",
-          "2010-02-28T12:54:00-07:00",
-          "2010-02-28T12:55:00-07:00",
-          "2010-02-28T12:56:00-07:00",
-          "2010-02-28T12:57:00-07:00",
-          "2010-02-28T12:58:00-07:00",
-          "2010-02-28T12:59:00-07:00",
-          "2010-02-28T13:00:00-07:00",
-          "2010-02-28T13:01:00-07:00",
-          "2010-02-28T13:02:00-07:00",
-          "2010-02-28T13:03:00-07:00",
-          "2010-02-28T13:04:00-07:00",
-          "2010-02-28T13:05:00-07:00",
-          "2010-02-28T13:06:00-07:00",
-          "2010-02-28T13:07:00-07:00",
-          "2010-02-28T13:08:00-07:00",
-          "2010-02-28T13:09:00-07:00",
-          "2010-02-28T13:10:00-07:00",
-          "2010-02-28T13:11:00-07:00",
-          "2010-02-28T13:12:00-07:00",
-          "2010-02-28T13:13:00-07:00",
-          "2010-02-28T13:14:00-07:00",
-          "2010-02-28T13:15:00-07:00",
-          "2010-02-28T13:16:00-07:00",
-          "2010-02-28T13:17:00-07:00",
-          "2010-02-28T13:18:00-07:00",
-          "2010-02-28T13:19:00-07:00",
-          "2010-02-28T13:20:00-07:00",
-          "2010-02-28T13:21:00-07:00",
-          "2010-02-28T13:22:00-07:00",
-          "2010-02-28T13:23:00-07:00",
-          "2010-02-28T13:24:00-07:00",
-          "2010-02-28T13:25:00-07:00",
-          "2010-02-28T13:26:00-07:00",
-          "2010-02-28T13:27:00-07:00",
-          "2010-02-28T13:28:00-07:00",
-          "2010-02-28T13:29:00-07:00",
-          "2010-02-28T13:30:00-07:00",
-          "2010-02-28T13:31:00-07:00",
-          "2010-02-28T13:32:00-07:00",
-          "2010-02-28T13:33:00-07:00",
-          "2010-02-28T13:34:00-07:00",
-          "2010-02-28T13:35:00-07:00",
-          "2010-02-28T13:36:00-07:00",
-          "2010-02-28T13:37:00-07:00",
-          "2010-02-28T13:38:00-07:00",
-          "2010-02-28T13:39:00-07:00",
-          "2010-02-28T13:40:00-07:00",
-          "2010-02-28T13:41:00-07:00",
-          "2010-02-28T13:42:00-07:00",
-          "2010-02-28T13:43:00-07:00",
-          "2010-02-28T13:44:00-07:00",
-          "2010-02-28T13:45:00-07:00",
-          "2010-02-28T13:46:00-07:00",
-          "2010-02-28T13:47:00-07:00",
-          "2010-02-28T13:48:00-07:00",
-          "2010-02-28T13:49:00-07:00",
-          "2010-02-28T13:50:00-07:00",
-          "2010-02-28T13:51:00-07:00",
-          "2010-02-28T13:52:00-07:00",
-          "2010-02-28T13:53:00-07:00",
-          "2010-02-28T13:54:00-07:00",
-          "2010-02-28T13:55:00-07:00",
-          "2010-02-28T13:56:00-07:00",
-          "2010-02-28T13:57:00-07:00",
-          "2010-02-28T13:58:00-07:00",
-          "2010-02-28T13:59:00-07:00",
-          "2010-02-28T14:00:00-07:00",
-          "2010-02-28T14:01:00-07:00",
-          "2010-02-28T14:02:00-07:00",
-          "2010-02-28T14:03:00-07:00",
-          "2010-02-28T14:04:00-07:00",
-          "2010-02-28T14:05:00-07:00",
-          "2010-02-28T14:06:00-07:00",
-          "2010-02-28T14:07:00-07:00",
-          "2010-02-28T14:08:00-07:00",
-          "2010-02-28T14:09:00-07:00",
-          "2010-02-28T14:10:00-07:00",
-          "2010-02-28T14:11:00-07:00",
-          "2010-02-28T14:12:00-07:00",
-          "2010-02-28T14:13:00-07:00",
-          "2010-02-28T14:14:00-07:00",
-          "2010-02-28T14:15:00-07:00",
-          "2010-02-28T14:16:00-07:00",
-          "2010-02-28T14:17:00-07:00",
-          "2010-02-28T14:18:00-07:00",
-          "2010-02-28T14:19:00-07:00",
-          "2010-02-28T14:20:00-07:00",
-          "2010-02-28T14:21:00-07:00",
-          "2010-02-28T14:22:00-07:00",
-          "2010-02-28T14:23:00-07:00",
-          "2010-02-28T14:24:00-07:00",
-          "2010-02-28T14:25:00-07:00",
-          "2010-02-28T14:26:00-07:00",
-          "2010-02-28T14:27:00-07:00",
-          "2010-02-28T14:28:00-07:00",
-          "2010-02-28T14:29:00-07:00",
-          "2010-02-28T14:30:00-07:00",
-          "2010-02-28T14:31:00-07:00",
-          "2010-02-28T14:32:00-07:00",
-          "2010-02-28T14:33:00-07:00",
-          "2010-02-28T14:34:00-07:00",
-          "2010-02-28T14:35:00-07:00",
-          "2010-02-28T14:36:00-07:00",
-          "2010-02-28T14:37:00-07:00",
-          "2010-02-28T14:38:00-07:00",
-          "2010-02-28T14:39:00-07:00",
-          "2010-02-28T14:40:00-07:00",
-          "2010-02-28T14:41:00-07:00",
-          "2010-02-28T14:42:00-07:00",
-          "2010-02-28T14:43:00-07:00",
-          "2010-02-28T14:44:00-07:00",
-          "2010-02-28T14:45:00-07:00",
-          "2010-02-28T14:46:00-07:00",
-          "2010-02-28T14:47:00-07:00",
-          "2010-02-28T14:48:00-07:00",
-          "2010-02-28T14:49:00-07:00",
-          "2010-02-28T14:50:00-07:00",
-          "2010-02-28T14:51:00-07:00",
-          "2010-02-28T14:52:00-07:00",
-          "2010-02-28T14:53:00-07:00",
-          "2010-02-28T14:54:00-07:00",
-          "2010-02-28T14:55:00-07:00",
-          "2010-02-28T14:56:00-07:00",
-          "2010-02-28T14:57:00-07:00",
-          "2010-02-28T14:58:00-07:00",
-          "2010-02-28T14:59:00-07:00",
-          "2010-02-28T15:00:00-07:00",
-          "2010-02-28T15:01:00-07:00",
-          "2010-02-28T15:02:00-07:00",
-          "2010-02-28T15:03:00-07:00",
-          "2010-02-28T15:04:00-07:00",
-          "2010-02-28T15:05:00-07:00",
-          "2010-02-28T15:06:00-07:00",
-          "2010-02-28T15:07:00-07:00",
-          "2010-02-28T15:08:00-07:00",
-          "2010-02-28T15:09:00-07:00",
-          "2010-02-28T15:10:00-07:00",
-          "2010-02-28T15:11:00-07:00",
-          "2010-02-28T15:12:00-07:00",
-          "2010-02-28T15:13:00-07:00",
-          "2010-02-28T15:14:00-07:00",
-          "2010-02-28T15:15:00-07:00",
-          "2010-02-28T15:16:00-07:00",
-          "2010-02-28T15:17:00-07:00",
-          "2010-02-28T15:18:00-07:00",
-          "2010-02-28T15:19:00-07:00",
-          "2010-02-28T15:20:00-07:00",
-          "2010-02-28T15:21:00-07:00",
-          "2010-02-28T15:22:00-07:00",
-          "2010-02-28T15:23:00-07:00",
-          "2010-02-28T15:24:00-07:00",
-          "2010-02-28T15:25:00-07:00",
-          "2010-02-28T15:26:00-07:00",
-          "2010-02-28T15:27:00-07:00",
-          "2010-02-28T15:28:00-07:00",
-          "2010-02-28T15:29:00-07:00",
-          "2010-02-28T15:30:00-07:00",
-          "2010-02-28T15:31:00-07:00",
-          "2010-02-28T15:32:00-07:00",
-          "2010-02-28T15:33:00-07:00",
-          "2010-02-28T15:34:00-07:00",
-          "2010-02-28T15:35:00-07:00",
-          "2010-02-28T15:36:00-07:00",
-          "2010-02-28T15:37:00-07:00",
-          "2010-02-28T15:38:00-07:00",
-          "2010-02-28T15:39:00-07:00",
-          "2010-02-28T15:40:00-07:00",
-          "2010-02-28T15:41:00-07:00",
-          "2010-02-28T15:42:00-07:00",
-          "2010-02-28T15:43:00-07:00",
-          "2010-02-28T15:44:00-07:00",
-          "2010-02-28T15:45:00-07:00",
-          "2010-02-28T15:46:00-07:00",
-          "2010-02-28T15:47:00-07:00",
-          "2010-02-28T15:48:00-07:00",
-          "2010-02-28T15:49:00-07:00",
-          "2010-02-28T15:50:00-07:00",
-          "2010-02-28T15:51:00-07:00",
-          "2010-02-28T15:52:00-07:00",
-          "2010-02-28T15:53:00-07:00",
-          "2010-02-28T15:54:00-07:00",
-          "2010-02-28T15:55:00-07:00",
-          "2010-02-28T15:56:00-07:00",
-          "2010-02-28T15:57:00-07:00",
-          "2010-02-28T15:58:00-07:00",
-          "2010-02-28T15:59:00-07:00",
-          "2010-02-28T16:00:00-07:00",
-          "2010-02-28T16:01:00-07:00",
-          "2010-02-28T16:02:00-07:00",
-          "2010-02-28T16:03:00-07:00",
-          "2010-02-28T16:04:00-07:00",
-          "2010-02-28T16:05:00-07:00",
-          "2010-02-28T16:06:00-07:00",
-          "2010-02-28T16:07:00-07:00",
-          "2010-02-28T16:08:00-07:00",
-          "2010-02-28T16:09:00-07:00",
-          "2010-02-28T16:10:00-07:00",
-          "2010-02-28T16:11:00-07:00",
-          "2010-02-28T16:12:00-07:00",
-          "2010-02-28T16:13:00-07:00",
-          "2010-02-28T16:14:00-07:00",
-          "2010-02-28T16:15:00-07:00",
-          "2010-02-28T16:16:00-07:00",
-          "2010-02-28T16:17:00-07:00",
-          "2010-02-28T16:18:00-07:00",
-          "2010-02-28T16:19:00-07:00",
-          "2010-02-28T16:20:00-07:00",
-          "2010-02-28T16:21:00-07:00",
-          "2010-02-28T16:22:00-07:00",
-          "2010-02-28T16:23:00-07:00",
-          "2010-02-28T16:24:00-07:00",
-          "2010-02-28T16:25:00-07:00",
-          "2010-02-28T16:26:00-07:00",
-          "2010-02-28T16:27:00-07:00",
-          "2010-02-28T16:28:00-07:00",
-          "2010-02-28T16:29:00-07:00",
-          "2010-02-28T16:30:00-07:00",
-          "2010-02-28T16:31:00-07:00",
-          "2010-02-28T16:32:00-07:00",
-          "2010-02-28T16:33:00-07:00",
-          "2010-02-28T16:34:00-07:00",
-          "2010-02-28T16:35:00-07:00",
-          "2010-02-28T16:36:00-07:00",
-          "2010-02-28T16:37:00-07:00",
-          "2010-02-28T16:38:00-07:00",
-          "2010-02-28T16:39:00-07:00",
-          "2010-02-28T16:40:00-07:00",
-          "2010-02-28T16:41:00-07:00",
-          "2010-02-28T16:42:00-07:00",
-          "2010-02-28T16:43:00-07:00",
-          "2010-02-28T16:44:00-07:00",
-          "2010-02-28T16:45:00-07:00",
-          "2010-02-28T16:46:00-07:00",
-          "2010-02-28T16:47:00-07:00",
-          "2010-02-28T16:48:00-07:00",
-          "2010-02-28T16:49:00-07:00",
-          "2010-02-28T16:50:00-07:00",
-          "2010-02-28T16:51:00-07:00",
-          "2010-02-28T16:52:00-07:00",
-          "2010-02-28T16:53:00-07:00",
-          "2010-02-28T16:54:00-07:00",
-          "2010-02-28T16:55:00-07:00",
-          "2010-02-28T16:56:00-07:00",
-          "2010-02-28T16:57:00-07:00",
-          "2010-02-28T16:58:00-07:00",
-          "2010-02-28T16:59:00-07:00",
-          "2010-02-28T17:00:00-07:00",
-          "2010-02-28T17:01:00-07:00",
-          "2010-02-28T17:02:00-07:00",
-          "2010-02-28T17:03:00-07:00",
-          "2010-02-28T17:04:00-07:00",
-          "2010-02-28T17:05:00-07:00",
-          "2010-02-28T17:06:00-07:00",
-          "2010-02-28T17:07:00-07:00",
-          "2010-02-28T17:08:00-07:00",
-          "2010-02-28T17:09:00-07:00",
-          "2010-02-28T17:10:00-07:00",
-          "2010-02-28T17:11:00-07:00",
-          "2010-02-28T17:12:00-07:00",
-          "2010-02-28T17:13:00-07:00",
-          "2010-02-28T17:14:00-07:00",
-          "2010-02-28T17:15:00-07:00",
-          "2010-02-28T17:16:00-07:00",
-          "2010-02-28T17:17:00-07:00",
-          "2010-02-28T17:18:00-07:00",
-          "2010-02-28T17:19:00-07:00",
-          "2010-02-28T17:20:00-07:00",
-          "2010-02-28T17:21:00-07:00",
-          "2010-02-28T17:22:00-07:00",
-          "2010-02-28T17:23:00-07:00",
-          "2010-02-28T17:24:00-07:00",
-          "2010-02-28T17:25:00-07:00",
-          "2010-02-28T17:26:00-07:00",
-          "2010-02-28T17:27:00-07:00",
-          "2010-02-28T17:28:00-07:00",
-          "2010-02-28T17:29:00-07:00",
-          "2010-02-28T17:30:00-07:00",
-          "2010-02-28T17:31:00-07:00",
-          "2010-02-28T17:32:00-07:00",
-          "2010-02-28T17:33:00-07:00",
-          "2010-02-28T17:34:00-07:00",
-          "2010-02-28T17:35:00-07:00",
-          "2010-02-28T17:36:00-07:00",
-          "2010-02-28T17:37:00-07:00",
-          "2010-02-28T17:38:00-07:00",
-          "2010-02-28T17:39:00-07:00",
-          "2010-02-28T17:40:00-07:00",
-          "2010-02-28T17:41:00-07:00",
-          "2010-02-28T17:42:00-07:00",
-          "2010-02-28T17:43:00-07:00",
-          "2010-02-28T17:44:00-07:00",
-          "2010-02-28T17:45:00-07:00",
-          "2010-02-28T17:46:00-07:00",
-          "2010-02-28T17:47:00-07:00",
-          "2010-02-28T17:48:00-07:00",
-          "2010-02-28T17:49:00-07:00",
-          "2010-02-28T17:50:00-07:00",
-          "2010-02-28T17:51:00-07:00",
-          "2010-02-28T17:52:00-07:00",
-          "2010-02-28T17:53:00-07:00",
-          "2010-02-28T17:54:00-07:00",
-          "2010-02-28T17:55:00-07:00",
-          "2010-02-28T17:56:00-07:00",
-          "2010-02-28T17:57:00-07:00",
-          "2010-02-28T17:58:00-07:00",
-          "2010-02-28T17:59:00-07:00",
-          "2010-02-28T18:00:00-07:00",
-          "2010-02-28T18:01:00-07:00",
-          "2010-02-28T18:02:00-07:00",
-          "2010-02-28T18:03:00-07:00",
-          "2010-02-28T18:04:00-07:00",
-          "2010-02-28T18:05:00-07:00",
-          "2010-02-28T18:06:00-07:00",
-          "2010-02-28T18:07:00-07:00",
-          "2010-02-28T18:08:00-07:00",
-          "2010-02-28T18:09:00-07:00",
-          "2010-02-28T18:10:00-07:00",
-          "2010-02-28T18:11:00-07:00",
-          "2010-02-28T18:12:00-07:00",
-          "2010-02-28T18:13:00-07:00",
-          "2010-02-28T18:14:00-07:00",
-          "2010-02-28T18:15:00-07:00",
-          "2010-02-28T18:16:00-07:00",
-          "2010-02-28T18:17:00-07:00",
-          "2010-02-28T18:18:00-07:00",
-          "2010-02-28T18:19:00-07:00",
-          "2010-02-28T18:20:00-07:00",
-          "2010-02-28T18:21:00-07:00",
-          "2010-02-28T18:22:00-07:00",
-          "2010-02-28T18:23:00-07:00",
-          "2010-02-28T18:24:00-07:00",
-          "2010-02-28T18:25:00-07:00",
-          "2010-02-28T18:26:00-07:00",
-          "2010-02-28T18:27:00-07:00",
-          "2010-02-28T18:28:00-07:00",
-          "2010-02-28T18:29:00-07:00",
-          "2010-02-28T18:30:00-07:00",
-          "2010-02-28T18:31:00-07:00",
-          "2010-02-28T18:32:00-07:00",
-          "2010-02-28T18:33:00-07:00",
-          "2010-02-28T18:34:00-07:00",
-          "2010-02-28T18:35:00-07:00",
-          "2010-02-28T18:36:00-07:00",
-          "2010-02-28T18:37:00-07:00",
-          "2010-02-28T18:38:00-07:00",
-          "2010-02-28T18:39:00-07:00",
-          "2010-02-28T18:40:00-07:00",
-          "2010-02-28T18:41:00-07:00",
-          "2010-02-28T18:42:00-07:00",
-          "2010-02-28T18:43:00-07:00",
-          "2010-02-28T18:44:00-07:00",
-          "2010-02-28T18:45:00-07:00",
-          "2010-02-28T18:46:00-07:00",
-          "2010-02-28T18:47:00-07:00",
-          "2010-02-28T18:48:00-07:00",
-          "2010-02-28T18:49:00-07:00",
-          "2010-02-28T18:50:00-07:00",
-          "2010-02-28T18:51:00-07:00",
-          "2010-02-28T18:52:00-07:00",
-          "2010-02-28T18:53:00-07:00",
-          "2010-02-28T18:54:00-07:00",
-          "2010-02-28T18:55:00-07:00",
-          "2010-02-28T18:56:00-07:00",
-          "2010-02-28T18:57:00-07:00",
-          "2010-02-28T18:58:00-07:00",
-          "2010-02-28T18:59:00-07:00",
-          "2010-02-28T19:00:00-07:00",
-          "2010-02-28T19:01:00-07:00",
-          "2010-02-28T19:02:00-07:00",
-          "2010-02-28T19:03:00-07:00",
-          "2010-02-28T19:04:00-07:00",
-          "2010-02-28T19:05:00-07:00",
-          "2010-02-28T19:06:00-07:00",
-          "2010-02-28T19:07:00-07:00",
-          "2010-02-28T19:08:00-07:00",
-          "2010-02-28T19:09:00-07:00",
-          "2010-02-28T19:10:00-07:00",
-          "2010-02-28T19:11:00-07:00",
-          "2010-02-28T19:12:00-07:00",
-          "2010-02-28T19:13:00-07:00",
-          "2010-02-28T19:14:00-07:00",
-          "2010-02-28T19:15:00-07:00",
-          "2010-02-28T19:16:00-07:00",
-          "2010-02-28T19:17:00-07:00",
-          "2010-02-28T19:18:00-07:00",
-          "2010-02-28T19:19:00-07:00",
-          "2010-02-28T19:20:00-07:00",
-          "2010-02-28T19:21:00-07:00",
-          "2010-02-28T19:22:00-07:00",
-          "2010-02-28T19:23:00-07:00",
-          "2010-02-28T19:24:00-07:00",
-          "2010-02-28T19:25:00-07:00",
-          "2010-02-28T19:26:00-07:00",
-          "2010-02-28T19:27:00-07:00",
-          "2010-02-28T19:28:00-07:00",
-          "2010-02-28T19:29:00-07:00",
-          "2010-02-28T19:30:00-07:00",
-          "2010-02-28T19:31:00-07:00",
-          "2010-02-28T19:32:00-07:00",
-          "2010-02-28T19:33:00-07:00",
-          "2010-02-28T19:34:00-07:00",
-          "2010-02-28T19:35:00-07:00",
-          "2010-02-28T19:36:00-07:00",
-          "2010-02-28T19:37:00-07:00",
-          "2010-02-28T19:38:00-07:00",
-          "2010-02-28T19:39:00-07:00",
-          "2010-02-28T19:40:00-07:00",
-          "2010-02-28T19:41:00-07:00",
-          "2010-02-28T19:42:00-07:00",
-          "2010-02-28T19:43:00-07:00",
-          "2010-02-28T19:44:00-07:00",
-          "2010-02-28T19:45:00-07:00",
-          "2010-02-28T19:46:00-07:00",
-          "2010-02-28T19:47:00-07:00",
-          "2010-02-28T19:48:00-07:00",
-          "2010-02-28T19:49:00-07:00",
-          "2010-02-28T19:50:00-07:00",
-          "2010-02-28T19:51:00-07:00",
-          "2010-02-28T19:52:00-07:00",
-          "2010-02-28T19:53:00-07:00",
-          "2010-02-28T19:54:00-07:00",
-          "2010-02-28T19:55:00-07:00",
-          "2010-02-28T19:56:00-07:00",
-          "2010-02-28T19:57:00-07:00",
-          "2010-02-28T19:58:00-07:00",
-          "2010-02-28T19:59:00-07:00",
-          "2010-02-28T20:00:00-07:00",
-          "2010-02-28T20:01:00-07:00",
-          "2010-02-28T20:02:00-07:00",
-          "2010-02-28T20:03:00-07:00",
-          "2010-02-28T20:04:00-07:00",
-          "2010-02-28T20:05:00-07:00",
-          "2010-02-28T20:06:00-07:00",
-          "2010-02-28T20:07:00-07:00",
-          "2010-02-28T20:08:00-07:00",
-          "2010-02-28T20:09:00-07:00",
-          "2010-02-28T20:10:00-07:00",
-          "2010-02-28T20:11:00-07:00",
-          "2010-02-28T20:12:00-07:00",
-          "2010-02-28T20:13:00-07:00",
-          "2010-02-28T20:14:00-07:00",
-          "2010-02-28T20:15:00-07:00",
-          "2010-02-28T20:16:00-07:00",
-          "2010-02-28T20:17:00-07:00",
-          "2010-02-28T20:18:00-07:00",
-          "2010-02-28T20:19:00-07:00",
-          "2010-02-28T20:20:00-07:00",
-          "2010-02-28T20:21:00-07:00",
-          "2010-02-28T20:22:00-07:00",
-          "2010-02-28T20:23:00-07:00",
-          "2010-02-28T20:24:00-07:00",
-          "2010-02-28T20:25:00-07:00",
-          "2010-02-28T20:26:00-07:00",
-          "2010-02-28T20:27:00-07:00",
-          "2010-02-28T20:28:00-07:00",
-          "2010-02-28T20:29:00-07:00",
-          "2010-02-28T20:30:00-07:00",
-          "2010-02-28T20:31:00-07:00",
-          "2010-02-28T20:32:00-07:00",
-          "2010-02-28T20:33:00-07:00",
-          "2010-02-28T20:34:00-07:00",
-          "2010-02-28T20:35:00-07:00",
-          "2010-02-28T20:36:00-07:00",
-          "2010-02-28T20:37:00-07:00",
-          "2010-02-28T20:38:00-07:00",
-          "2010-02-28T20:39:00-07:00",
-          "2010-02-28T20:40:00-07:00",
-          "2010-02-28T20:41:00-07:00",
-          "2010-02-28T20:42:00-07:00",
-          "2010-02-28T20:43:00-07:00",
-          "2010-02-28T20:44:00-07:00",
-          "2010-02-28T20:45:00-07:00",
-          "2010-02-28T20:46:00-07:00",
-          "2010-02-28T20:47:00-07:00",
-          "2010-02-28T20:48:00-07:00",
-          "2010-02-28T20:49:00-07:00",
-          "2010-02-28T20:50:00-07:00",
-          "2010-02-28T20:51:00-07:00",
-          "2010-02-28T20:52:00-07:00",
-          "2010-02-28T20:53:00-07:00",
-          "2010-02-28T20:54:00-07:00",
-          "2010-02-28T20:55:00-07:00",
-          "2010-02-28T20:56:00-07:00",
-          "2010-02-28T20:57:00-07:00",
-          "2010-02-28T20:58:00-07:00",
-          "2010-02-28T20:59:00-07:00",
-          "2010-02-28T21:00:00-07:00",
-          "2010-02-28T21:01:00-07:00",
-          "2010-02-28T21:02:00-07:00",
-          "2010-02-28T21:03:00-07:00",
-          "2010-02-28T21:04:00-07:00",
-          "2010-02-28T21:05:00-07:00",
-          "2010-02-28T21:06:00-07:00",
-          "2010-02-28T21:07:00-07:00",
-          "2010-02-28T21:08:00-07:00",
-          "2010-02-28T21:09:00-07:00",
-          "2010-02-28T21:10:00-07:00",
-          "2010-02-28T21:11:00-07:00",
-          "2010-02-28T21:12:00-07:00",
-          "2010-02-28T21:13:00-07:00",
-          "2010-02-28T21:14:00-07:00",
-          "2010-02-28T21:15:00-07:00",
-          "2010-02-28T21:16:00-07:00",
-          "2010-02-28T21:17:00-07:00",
-          "2010-02-28T21:18:00-07:00",
-          "2010-02-28T21:19:00-07:00",
-          "2010-02-28T21:20:00-07:00",
-          "2010-02-28T21:21:00-07:00",
-          "2010-02-28T21:22:00-07:00",
-          "2010-02-28T21:23:00-07:00",
-          "2010-02-28T21:24:00-07:00",
-          "2010-02-28T21:25:00-07:00",
-          "2010-02-28T21:26:00-07:00",
-          "2010-02-28T21:27:00-07:00",
-          "2010-02-28T21:28:00-07:00",
-          "2010-02-28T21:29:00-07:00",
-          "2010-02-28T21:30:00-07:00",
-          "2010-02-28T21:31:00-07:00",
-          "2010-02-28T21:32:00-07:00",
-          "2010-02-28T21:33:00-07:00",
-          "2010-02-28T21:34:00-07:00",
-          "2010-02-28T21:35:00-07:00",
-          "2010-02-28T21:36:00-07:00",
-          "2010-02-28T21:37:00-07:00",
-          "2010-02-28T21:38:00-07:00",
-          "2010-02-28T21:39:00-07:00",
-          "2010-02-28T21:40:00-07:00",
-          "2010-02-28T21:41:00-07:00",
-          "2010-02-28T21:42:00-07:00",
-          "2010-02-28T21:43:00-07:00",
-          "2010-02-28T21:44:00-07:00",
-          "2010-02-28T21:45:00-07:00",
-          "2010-02-28T21:46:00-07:00",
-          "2010-02-28T21:47:00-07:00",
-          "2010-02-28T21:48:00-07:00",
-          "2010-02-28T21:49:00-07:00",
-          "2010-02-28T21:50:00-07:00",
-          "2010-02-28T21:51:00-07:00",
-          "2010-02-28T21:52:00-07:00",
-          "2010-02-28T21:53:00-07:00",
-          "2010-02-28T21:54:00-07:00",
-          "2010-02-28T21:55:00-07:00",
-          "2010-02-28T21:56:00-07:00",
-          "2010-02-28T21:57:00-07:00",
-          "2010-02-28T21:58:00-07:00",
-          "2010-02-28T21:59:00-07:00",
-          "2010-02-28T22:00:00-07:00",
-          "2010-02-28T22:01:00-07:00",
-          "2010-02-28T22:02:00-07:00",
-          "2010-02-28T22:03:00-07:00",
-          "2010-02-28T22:04:00-07:00",
-          "2010-02-28T22:05:00-07:00",
-          "2010-02-28T22:06:00-07:00",
-          "2010-02-28T22:07:00-07:00",
-          "2010-02-28T22:08:00-07:00",
-          "2010-02-28T22:09:00-07:00",
-          "2010-02-28T22:10:00-07:00",
-          "2010-02-28T22:11:00-07:00",
-          "2010-02-28T22:12:00-07:00",
-          "2010-02-28T22:13:00-07:00",
-          "2010-02-28T22:14:00-07:00",
-          "2010-02-28T22:15:00-07:00",
-          "2010-02-28T22:16:00-07:00",
-          "2010-02-28T22:17:00-07:00",
-          "2010-02-28T22:18:00-07:00",
-          "2010-02-28T22:19:00-07:00",
-          "2010-02-28T22:20:00-07:00",
-          "2010-02-28T22:21:00-07:00",
-          "2010-02-28T22:22:00-07:00",
-          "2010-02-28T22:23:00-07:00",
-          "2010-02-28T22:24:00-07:00",
-          "2010-02-28T22:25:00-07:00",
-          "2010-02-28T22:26:00-07:00",
-          "2010-02-28T22:27:00-07:00",
-          "2010-02-28T22:28:00-07:00",
-          "2010-02-28T22:29:00-07:00",
-          "2010-02-28T22:30:00-07:00",
-          "2010-02-28T22:31:00-07:00",
-          "2010-02-28T22:32:00-07:00",
-          "2010-02-28T22:33:00-07:00",
-          "2010-02-28T22:34:00-07:00",
-          "2010-02-28T22:35:00-07:00",
-          "2010-02-28T22:36:00-07:00",
-          "2010-02-28T22:37:00-07:00",
-          "2010-02-28T22:38:00-07:00",
-          "2010-02-28T22:39:00-07:00",
-          "2010-02-28T22:40:00-07:00",
-          "2010-02-28T22:41:00-07:00",
-          "2010-02-28T22:42:00-07:00",
-          "2010-02-28T22:43:00-07:00",
-          "2010-02-28T22:44:00-07:00",
-          "2010-02-28T22:45:00-07:00",
-          "2010-02-28T22:46:00-07:00",
-          "2010-02-28T22:47:00-07:00",
-          "2010-02-28T22:48:00-07:00",
-          "2010-02-28T22:49:00-07:00",
-          "2010-02-28T22:50:00-07:00",
-          "2010-02-28T22:51:00-07:00",
-          "2010-02-28T22:52:00-07:00",
-          "2010-02-28T22:53:00-07:00",
-          "2010-02-28T22:54:00-07:00",
-          "2010-02-28T22:55:00-07:00",
-          "2010-02-28T22:56:00-07:00",
-          "2010-02-28T22:57:00-07:00",
-          "2010-02-28T22:58:00-07:00",
-          "2010-02-28T22:59:00-07:00",
-          "2010-02-28T23:00:00-07:00",
-          "2010-02-28T23:01:00-07:00",
-          "2010-02-28T23:02:00-07:00",
-          "2010-02-28T23:03:00-07:00",
-          "2010-02-28T23:04:00-07:00",
-          "2010-02-28T23:05:00-07:00",
-          "2010-02-28T23:06:00-07:00",
-          "2010-02-28T23:07:00-07:00",
-          "2010-02-28T23:08:00-07:00",
-          "2010-02-28T23:09:00-07:00",
-          "2010-02-28T23:10:00-07:00",
-          "2010-02-28T23:11:00-07:00",
-          "2010-02-28T23:12:00-07:00",
-          "2010-02-28T23:13:00-07:00",
-          "2010-02-28T23:14:00-07:00",
-          "2010-02-28T23:15:00-07:00",
-          "2010-02-28T23:16:00-07:00",
-          "2010-02-28T23:17:00-07:00",
-          "2010-02-28T23:18:00-07:00",
-          "2010-02-28T23:19:00-07:00",
-          "2010-02-28T23:20:00-07:00",
-          "2010-02-28T23:21:00-07:00",
-          "2010-02-28T23:22:00-07:00",
-          "2010-02-28T23:23:00-07:00",
-          "2010-02-28T23:24:00-07:00",
-          "2010-02-28T23:25:00-07:00",
-          "2010-02-28T23:26:00-07:00",
-          "2010-02-28T23:27:00-07:00",
-          "2010-02-28T23:28:00-07:00",
-          "2010-02-28T23:29:00-07:00",
-          "2010-02-28T23:30:00-07:00",
-          "2010-02-28T23:31:00-07:00",
-          "2010-02-28T23:32:00-07:00",
-          "2010-02-28T23:33:00-07:00",
-          "2010-02-28T23:34:00-07:00",
-          "2010-02-28T23:35:00-07:00",
-          "2010-02-28T23:36:00-07:00",
-          "2010-02-28T23:37:00-07:00",
-          "2010-02-28T23:38:00-07:00",
-          "2010-02-28T23:39:00-07:00",
-          "2010-02-28T23:40:00-07:00",
-          "2010-02-28T23:41:00-07:00",
-          "2010-02-28T23:42:00-07:00",
-          "2010-02-28T23:43:00-07:00",
-          "2010-02-28T23:44:00-07:00",
-          "2010-02-28T23:45:00-07:00",
-          "2010-02-28T23:46:00-07:00",
-          "2010-02-28T23:47:00-07:00",
-          "2010-02-28T23:48:00-07:00",
-          "2010-02-28T23:49:00-07:00",
-          "2010-02-28T23:50:00-07:00",
-          "2010-02-28T23:51:00-07:00",
-          "2010-02-28T23:52:00-07:00",
-          "2010-02-28T23:53:00-07:00",
-          "2010-02-28T23:54:00-07:00",
-          "2010-02-28T23:55:00-07:00",
-          "2010-02-28T23:56:00-07:00",
-          "2010-02-28T23:57:00-07:00",
-          "2010-02-28T23:58:00-07:00",
-          "2010-02-28T23:59:00-07:00",
-          "2010-03-01T00:00:00-07:00",
-          "2010-03-01T00:01:00-07:00",
-          "2010-03-01T00:02:00-07:00",
-          "2010-03-01T00:03:00-07:00",
-          "2010-03-01T00:04:00-07:00",
-          "2010-03-01T00:05:00-07:00",
-          "2010-03-01T00:06:00-07:00",
-          "2010-03-01T00:07:00-07:00",
-          "2010-03-01T00:08:00-07:00",
-          "2010-03-01T00:09:00-07:00",
-          "2010-03-01T00:10:00-07:00",
-          "2010-03-01T00:11:00-07:00",
-          "2010-03-01T00:12:00-07:00",
-          "2010-03-01T00:13:00-07:00",
-          "2010-03-01T00:14:00-07:00",
-          "2010-03-01T00:15:00-07:00",
-          "2010-03-01T00:16:00-07:00",
-          "2010-03-01T00:17:00-07:00",
-          "2010-03-01T00:18:00-07:00",
-          "2010-03-01T00:19:00-07:00",
-          "2010-03-01T00:20:00-07:00",
-          "2010-03-01T00:21:00-07:00",
-          "2010-03-01T00:22:00-07:00",
-          "2010-03-01T00:23:00-07:00",
-          "2010-03-01T00:24:00-07:00",
-          "2010-03-01T00:25:00-07:00",
-          "2010-03-01T00:26:00-07:00",
-          "2010-03-01T00:27:00-07:00",
-          "2010-03-01T00:28:00-07:00",
-          "2010-03-01T00:29:00-07:00",
-          "2010-03-01T00:30:00-07:00",
-          "2010-03-01T00:31:00-07:00",
-          "2010-03-01T00:32:00-07:00",
-          "2010-03-01T00:33:00-07:00",
-          "2010-03-01T00:34:00-07:00",
-          "2010-03-01T00:35:00-07:00",
-          "2010-03-01T00:36:00-07:00",
-          "2010-03-01T00:37:00-07:00",
-          "2010-03-01T00:38:00-07:00",
-          "2010-03-01T00:39:00-07:00",
-          "2010-03-01T00:40:00-07:00",
-          "2010-03-01T00:41:00-07:00",
-          "2010-03-01T00:42:00-07:00",
-          "2010-03-01T00:43:00-07:00",
-          "2010-03-01T00:44:00-07:00",
-          "2010-03-01T00:45:00-07:00",
-          "2010-03-01T00:46:00-07:00",
-          "2010-03-01T00:47:00-07:00",
-          "2010-03-01T00:48:00-07:00",
-          "2010-03-01T00:49:00-07:00",
-          "2010-03-01T00:50:00-07:00",
-          "2010-03-01T00:51:00-07:00",
-          "2010-03-01T00:52:00-07:00",
-          "2010-03-01T00:53:00-07:00",
-          "2010-03-01T00:54:00-07:00",
-          "2010-03-01T00:55:00-07:00",
-          "2010-03-01T00:56:00-07:00",
-          "2010-03-01T00:57:00-07:00",
-          "2010-03-01T00:58:00-07:00",
-          "2010-03-01T00:59:00-07:00",
-          "2010-03-01T01:00:00-07:00",
-          "2010-03-01T01:01:00-07:00",
-          "2010-03-01T01:02:00-07:00",
-          "2010-03-01T01:03:00-07:00",
-          "2010-03-01T01:04:00-07:00",
-          "2010-03-01T01:05:00-07:00",
-          "2010-03-01T01:06:00-07:00",
-          "2010-03-01T01:07:00-07:00",
-          "2010-03-01T01:08:00-07:00",
-          "2010-03-01T01:09:00-07:00",
-          "2010-03-01T01:10:00-07:00",
-          "2010-03-01T01:11:00-07:00",
-          "2010-03-01T01:12:00-07:00",
-          "2010-03-01T01:13:00-07:00",
-          "2010-03-01T01:14:00-07:00",
-          "2010-03-01T01:15:00-07:00",
-          "2010-03-01T01:16:00-07:00",
-          "2010-03-01T01:17:00-07:00",
-          "2010-03-01T01:18:00-07:00",
-          "2010-03-01T01:19:00-07:00",
-          "2010-03-01T01:20:00-07:00",
-          "2010-03-01T01:21:00-07:00",
-          "2010-03-01T01:22:00-07:00",
-          "2010-03-01T01:23:00-07:00",
-          "2010-03-01T01:24:00-07:00",
-          "2010-03-01T01:25:00-07:00",
-          "2010-03-01T01:26:00-07:00",
-          "2010-03-01T01:27:00-07:00",
-          "2010-03-01T01:28:00-07:00",
-          "2010-03-01T01:29:00-07:00",
-          "2010-03-01T01:30:00-07:00",
-          "2010-03-01T01:31:00-07:00",
-          "2010-03-01T01:32:00-07:00",
-          "2010-03-01T01:33:00-07:00",
-          "2010-03-01T01:34:00-07:00",
-          "2010-03-01T01:35:00-07:00",
-          "2010-03-01T01:36:00-07:00",
-          "2010-03-01T01:37:00-07:00",
-          "2010-03-01T01:38:00-07:00",
-          "2010-03-01T01:39:00-07:00",
-          "2010-03-01T01:40:00-07:00",
-          "2010-03-01T01:41:00-07:00",
-          "2010-03-01T01:42:00-07:00",
-          "2010-03-01T01:43:00-07:00",
-          "2010-03-01T01:44:00-07:00",
-          "2010-03-01T01:45:00-07:00",
-          "2010-03-01T01:46:00-07:00",
-          "2010-03-01T01:47:00-07:00",
-          "2010-03-01T01:48:00-07:00",
-          "2010-03-01T01:49:00-07:00",
-          "2010-03-01T01:50:00-07:00",
-          "2010-03-01T01:51:00-07:00",
-          "2010-03-01T01:52:00-07:00",
-          "2010-03-01T01:53:00-07:00",
-          "2010-03-01T01:54:00-07:00",
-          "2010-03-01T01:55:00-07:00",
-          "2010-03-01T01:56:00-07:00",
-          "2010-03-01T01:57:00-07:00",
-          "2010-03-01T01:58:00-07:00",
-          "2010-03-01T01:59:00-07:00",
-          "2010-03-01T02:00:00-07:00",
-          "2010-03-01T02:01:00-07:00",
-          "2010-03-01T02:02:00-07:00",
-          "2010-03-01T02:03:00-07:00",
-          "2010-03-01T02:04:00-07:00",
-          "2010-03-01T02:05:00-07:00",
-          "2010-03-01T02:06:00-07:00",
-          "2010-03-01T02:07:00-07:00",
-          "2010-03-01T02:08:00-07:00",
-          "2010-03-01T02:09:00-07:00",
-          "2010-03-01T02:10:00-07:00",
-          "2010-03-01T02:11:00-07:00",
-          "2010-03-01T02:12:00-07:00",
-          "2010-03-01T02:13:00-07:00",
-          "2010-03-01T02:14:00-07:00",
-          "2010-03-01T02:15:00-07:00",
-          "2010-03-01T02:16:00-07:00",
-          "2010-03-01T02:17:00-07:00",
-          "2010-03-01T02:18:00-07:00",
-          "2010-03-01T02:19:00-07:00",
-          "2010-03-01T02:20:00-07:00",
-          "2010-03-01T02:21:00-07:00",
-          "2010-03-01T02:22:00-07:00",
-          "2010-03-01T02:23:00-07:00",
-          "2010-03-01T02:24:00-07:00",
-          "2010-03-01T02:25:00-07:00",
-          "2010-03-01T02:26:00-07:00",
-          "2010-03-01T02:27:00-07:00",
-          "2010-03-01T02:28:00-07:00",
-          "2010-03-01T02:29:00-07:00",
-          "2010-03-01T02:30:00-07:00",
-          "2010-03-01T02:31:00-07:00",
-          "2010-03-01T02:32:00-07:00",
-          "2010-03-01T02:33:00-07:00",
-          "2010-03-01T02:34:00-07:00",
-          "2010-03-01T02:35:00-07:00",
-          "2010-03-01T02:36:00-07:00",
-          "2010-03-01T02:37:00-07:00",
-          "2010-03-01T02:38:00-07:00",
-          "2010-03-01T02:39:00-07:00",
-          "2010-03-01T02:40:00-07:00",
-          "2010-03-01T02:41:00-07:00",
-          "2010-03-01T02:42:00-07:00",
-          "2010-03-01T02:43:00-07:00",
-          "2010-03-01T02:44:00-07:00",
-          "2010-03-01T02:45:00-07:00",
-          "2010-03-01T02:46:00-07:00",
-          "2010-03-01T02:47:00-07:00",
-          "2010-03-01T02:48:00-07:00",
-          "2010-03-01T02:49:00-07:00",
-          "2010-03-01T02:50:00-07:00",
-          "2010-03-01T02:51:00-07:00",
-          "2010-03-01T02:52:00-07:00",
-          "2010-03-01T02:53:00-07:00",
-          "2010-03-01T02:54:00-07:00",
-          "2010-03-01T02:55:00-07:00",
-          "2010-03-01T02:56:00-07:00",
-          "2010-03-01T02:57:00-07:00",
-          "2010-03-01T02:58:00-07:00",
-          "2010-03-01T02:59:00-07:00",
-          "2010-03-01T03:00:00-07:00",
-          "2010-03-01T03:01:00-07:00",
-          "2010-03-01T03:02:00-07:00",
-          "2010-03-01T03:03:00-07:00",
-          "2010-03-01T03:04:00-07:00",
-          "2010-03-01T03:05:00-07:00",
-          "2010-03-01T03:06:00-07:00",
-          "2010-03-01T03:07:00-07:00",
-          "2010-03-01T03:08:00-07:00",
-          "2010-03-01T03:09:00-07:00",
-          "2010-03-01T03:10:00-07:00",
-          "2010-03-01T03:11:00-07:00",
-          "2010-03-01T03:12:00-07:00",
-          "2010-03-01T03:13:00-07:00",
-          "2010-03-01T03:14:00-07:00",
-          "2010-03-01T03:15:00-07:00",
-          "2010-03-01T03:16:00-07:00",
-          "2010-03-01T03:17:00-07:00",
-          "2010-03-01T03:18:00-07:00",
-          "2010-03-01T03:19:00-07:00",
-          "2010-03-01T03:20:00-07:00",
-          "2010-03-01T03:21:00-07:00",
-          "2010-03-01T03:22:00-07:00",
-          "2010-03-01T03:23:00-07:00",
-          "2010-03-01T03:24:00-07:00",
-          "2010-03-01T03:25:00-07:00",
-          "2010-03-01T03:26:00-07:00",
-          "2010-03-01T03:27:00-07:00",
-          "2010-03-01T03:28:00-07:00",
-          "2010-03-01T03:29:00-07:00",
-          "2010-03-01T03:30:00-07:00",
-          "2010-03-01T03:31:00-07:00",
-          "2010-03-01T03:32:00-07:00",
-          "2010-03-01T03:33:00-07:00",
-          "2010-03-01T03:34:00-07:00",
-          "2010-03-01T03:35:00-07:00",
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-          "2010-03-01T03:38:00-07:00",
-          "2010-03-01T03:39:00-07:00",
-          "2010-03-01T03:40:00-07:00",
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-          "2010-03-01T04:13:00-07:00",
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-          "2010-03-01T04:16:00-07:00",
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-          "2010-03-01T04:26:00-07:00",
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-          "2010-03-01T04:29:00-07:00",
-          "2010-03-01T04:30:00-07:00",
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-          "2010-03-01T04:32:00-07:00",
-          "2010-03-01T04:33:00-07:00",
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-          "2010-03-01T04:39:00-07:00",
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-          "2010-03-01T05:13:00-07:00",
-          "2010-03-01T05:14:00-07:00",
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-          "2010-03-01T05:16:00-07:00",
-          "2010-03-01T05:17:00-07:00",
-          "2010-03-01T05:18:00-07:00",
-          "2010-03-01T05:19:00-07:00",
-          "2010-03-01T05:20:00-07:00",
-          "2010-03-01T05:21:00-07:00",
-          "2010-03-01T05:22:00-07:00",
-          "2010-03-01T05:23:00-07:00",
-          "2010-03-01T05:24:00-07:00",
-          "2010-03-01T05:25:00-07:00",
-          "2010-03-01T05:26:00-07:00",
-          "2010-03-01T05:27:00-07:00",
-          "2010-03-01T05:28:00-07:00",
-          "2010-03-01T05:29:00-07:00",
-          "2010-03-01T05:30:00-07:00",
-          "2010-03-01T05:31:00-07:00",
-          "2010-03-01T05:32:00-07:00",
-          "2010-03-01T05:33:00-07:00",
-          "2010-03-01T05:34:00-07:00",
-          "2010-03-01T05:35:00-07:00",
-          "2010-03-01T05:36:00-07:00",
-          "2010-03-01T05:37:00-07:00",
-          "2010-03-01T05:38:00-07:00",
-          "2010-03-01T05:39:00-07:00",
-          "2010-03-01T05:40:00-07:00",
-          "2010-03-01T05:41:00-07:00",
-          "2010-03-01T05:42:00-07:00",
-          "2010-03-01T05:43:00-07:00",
-          "2010-03-01T05:44:00-07:00",
-          "2010-03-01T05:45:00-07:00",
-          "2010-03-01T05:46:00-07:00",
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-          "2010-03-01T05:49:00-07:00",
-          "2010-03-01T05:50:00-07:00",
-          "2010-03-01T05:51:00-07:00",
-          "2010-03-01T05:52:00-07:00",
-          "2010-03-01T05:53:00-07:00",
-          "2010-03-01T05:54:00-07:00",
-          "2010-03-01T05:55:00-07:00",
-          "2010-03-01T05:56:00-07:00",
-          "2010-03-01T05:57:00-07:00",
-          "2010-03-01T05:58:00-07:00",
-          "2010-03-01T05:59:00-07:00",
-          "2010-03-01T06:00:00-07:00",
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-          "2010-03-01T06:11:00-07:00",
-          "2010-03-01T06:12:00-07:00",
-          "2010-03-01T06:13:00-07:00",
-          "2010-03-01T06:14:00-07:00",
-          "2010-03-01T06:15:00-07:00",
-          "2010-03-01T06:16:00-07:00",
-          "2010-03-01T06:17:00-07:00",
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-          "2010-03-01T06:27:00-07:00",
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-          "2010-03-01T07:39:00-07:00",
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-          "2010-03-01T08:12:00-07:00",
-          "2010-03-01T08:13:00-07:00",
-          "2010-03-01T08:14:00-07:00",
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-          "2010-03-01T08:20:00-07:00",
-          "2010-03-01T08:21:00-07:00",
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-          "2010-03-01T08:23:00-07:00",
-          "2010-03-01T08:24:00-07:00",
-          "2010-03-01T08:25:00-07:00",
-          "2010-03-01T08:26:00-07:00",
-          "2010-03-01T08:27:00-07:00",
-          "2010-03-01T08:28:00-07:00",
-          "2010-03-01T08:29:00-07:00",
-          "2010-03-01T08:30:00-07:00",
-          "2010-03-01T08:31:00-07:00",
-          "2010-03-01T08:32:00-07:00",
-          "2010-03-01T08:33:00-07:00",
-          "2010-03-01T08:34:00-07:00",
-          "2010-03-01T08:35:00-07:00",
-          "2010-03-01T08:36:00-07:00",
-          "2010-03-01T08:37:00-07:00",
-          "2010-03-01T08:38:00-07:00",
-          "2010-03-01T08:39:00-07:00",
-          "2010-03-01T08:40:00-07:00",
-          "2010-03-01T08:41:00-07:00",
-          "2010-03-01T08:42:00-07:00",
-          "2010-03-01T08:43:00-07:00",
-          "2010-03-01T08:44:00-07:00",
-          "2010-03-01T08:45:00-07:00",
-          "2010-03-01T08:46:00-07:00",
-          "2010-03-01T08:47:00-07:00",
-          "2010-03-01T08:48:00-07:00",
-          "2010-03-01T08:49:00-07:00",
-          "2010-03-01T08:50:00-07:00",
-          "2010-03-01T08:51:00-07:00",
-          "2010-03-01T08:52:00-07:00",
-          "2010-03-01T08:53:00-07:00",
-          "2010-03-01T08:54:00-07:00",
-          "2010-03-01T08:55:00-07:00",
-          "2010-03-01T08:56:00-07:00",
-          "2010-03-01T08:57:00-07:00",
-          "2010-03-01T08:58:00-07:00",
-          "2010-03-01T08:59:00-07:00",
-          "2010-03-01T09:00:00-07:00",
-          "2010-03-01T09:01:00-07:00",
-          "2010-03-01T09:02:00-07:00",
-          "2010-03-01T09:03:00-07:00",
-          "2010-03-01T09:04:00-07:00",
-          "2010-03-01T09:05:00-07:00",
-          "2010-03-01T09:06:00-07:00",
-          "2010-03-01T09:07:00-07:00",
-          "2010-03-01T09:08:00-07:00",
-          "2010-03-01T09:09:00-07:00",
-          "2010-03-01T09:10:00-07:00",
-          "2010-03-01T09:11:00-07:00",
-          "2010-03-01T09:12:00-07:00",
-          "2010-03-01T09:13:00-07:00",
-          "2010-03-01T09:14:00-07:00",
-          "2010-03-01T09:15:00-07:00",
-          "2010-03-01T09:16:00-07:00",
-          "2010-03-01T09:17:00-07:00",
-          "2010-03-01T09:18:00-07:00",
-          "2010-03-01T09:19:00-07:00",
-          "2010-03-01T09:20:00-07:00",
-          "2010-03-01T09:21:00-07:00",
-          "2010-03-01T09:22:00-07:00",
-          "2010-03-01T09:23:00-07:00",
-          "2010-03-01T09:24:00-07:00",
-          "2010-03-01T09:25:00-07:00",
-          "2010-03-01T09:26:00-07:00",
-          "2010-03-01T09:27:00-07:00",
-          "2010-03-01T09:28:00-07:00",
-          "2010-03-01T09:29:00-07:00",
-          "2010-03-01T09:30:00-07:00",
-          "2010-03-01T09:31:00-07:00",
-          "2010-03-01T09:32:00-07:00",
-          "2010-03-01T09:33:00-07:00",
-          "2010-03-01T09:34:00-07:00",
-          "2010-03-01T09:35:00-07:00",
-          "2010-03-01T09:36:00-07:00",
-          "2010-03-01T09:37:00-07:00",
-          "2010-03-01T09:38:00-07:00",
-          "2010-03-01T09:39:00-07:00",
-          "2010-03-01T09:40:00-07:00",
-          "2010-03-01T09:41:00-07:00",
-          "2010-03-01T09:42:00-07:00",
-          "2010-03-01T09:43:00-07:00",
-          "2010-03-01T09:44:00-07:00",
-          "2010-03-01T09:45:00-07:00",
-          "2010-03-01T09:46:00-07:00",
-          "2010-03-01T09:47:00-07:00",
-          "2010-03-01T09:48:00-07:00",
-          "2010-03-01T09:49:00-07:00",
-          "2010-03-01T09:50:00-07:00",
-          "2010-03-01T09:51:00-07:00",
-          "2010-03-01T09:52:00-07:00",
-          "2010-03-01T09:53:00-07:00",
-          "2010-03-01T09:54:00-07:00",
-          "2010-03-01T09:55:00-07:00",
-          "2010-03-01T09:56:00-07:00",
-          "2010-03-01T09:57:00-07:00",
-          "2010-03-01T09:58:00-07:00",
-          "2010-03-01T09:59:00-07:00",
-          "2010-03-01T10:00:00-07:00",
-          "2010-03-01T10:01:00-07:00",
-          "2010-03-01T10:02:00-07:00",
-          "2010-03-01T10:04:00-07:00",
-          "2010-03-01T10:05:00-07:00",
-          "2010-03-01T10:06:00-07:00",
-          "2010-03-01T10:10:00-07:00",
-          "2010-03-01T10:11:00-07:00",
-          "2010-03-01T10:13:00-07:00",
-          "2010-03-01T10:14:00-07:00",
-          "2010-03-01T10:15:00-07:00",
-          "2010-03-01T10:16:00-07:00",
-          "2010-03-01T10:19:00-07:00",
-          "2010-03-01T10:20:00-07:00",
-          "2010-03-01T10:21:00-07:00",
-          "2010-03-01T10:22:00-07:00",
-          "2010-03-01T10:23:00-07:00",
-          "2010-03-01T10:27:00-07:00",
-          "2010-03-01T10:28:00-07:00",
-          "2010-03-01T10:29:00-07:00",
-          "2010-03-01T10:31:00-07:00",
-          "2010-03-01T10:32:00-07:00",
-          "2010-03-01T10:33:00-07:00",
-          "2010-03-01T10:34:00-07:00",
-          "2010-03-01T10:35:00-07:00",
-          "2010-03-01T10:37:00-07:00",
-          "2010-03-01T10:38:00-07:00",
-          "2010-03-01T10:40:00-07:00",
-          "2010-03-01T10:41:00-07:00",
-          "2010-03-01T10:42:00-07:00",
-          "2010-03-01T10:43:00-07:00",
-          "2010-03-01T10:44:00-07:00",
-          "2010-03-01T10:45:00-07:00",
-          "2010-03-01T10:46:00-07:00",
-          "2010-03-01T10:48:00-07:00",
-          "2010-03-01T10:51:00-07:00",
-          "2010-03-01T10:57:00-07:00",
-          "2010-03-01T10:58:00-07:00",
-          "2010-03-01T11:01:00-07:00",
-          "2010-03-01T11:05:00-07:00",
-          "2010-03-01T11:06:00-07:00",
-          "2010-03-01T11:07:00-07:00",
-          "2010-03-01T11:08:00-07:00",
-          "2010-03-01T11:09:00-07:00",
-          "2010-03-01T11:10:00-07:00",
-          "2010-03-01T11:13:00-07:00",
-          "2010-03-01T11:15:00-07:00",
-          "2010-03-01T11:16:00-07:00",
-          "2010-03-01T11:27:00-07:00",
-          "2010-03-01T11:29:00-07:00",
-          "2010-03-01T11:30:00-07:00",
-          "2010-03-01T11:31:00-07:00",
-          "2010-03-01T11:33:00-07:00",
-          "2010-03-01T11:34:00-07:00",
-          "2010-03-01T11:35:00-07:00",
-          "2010-03-01T11:36:00-07:00",
-          "2010-03-01T11:38:00-07:00",
-          "2010-03-01T11:40:00-07:00",
-          "2010-03-01T11:41:00-07:00",
-          "2010-03-01T11:42:00-07:00",
-          "2010-03-01T11:44:00-07:00",
-          "2010-03-01T11:45:00-07:00",
-          "2010-03-01T11:47:00-07:00",
-          "2010-03-01T11:49:00-07:00",
-          "2010-03-01T11:51:00-07:00",
-          "2010-03-01T11:52:00-07:00",
-          "2010-03-01T11:53:00-07:00",
-          "2010-03-01T11:57:00-07:00",
-          "2010-03-01T12:00:00-07:00",
-          "2010-03-01T12:01:00-07:00",
-          "2010-03-01T12:02:00-07:00",
-          "2010-03-01T12:03:00-07:00",
-          "2010-03-01T12:07:00-07:00",
-          "2010-03-01T12:08:00-07:00",
-          "2010-03-01T12:09:00-07:00",
-          "2010-03-01T12:12:00-07:00",
-          "2010-03-01T12:13:00-07:00",
-          "2010-03-01T12:14:00-07:00",
-          "2010-03-01T12:15:00-07:00",
-          "2010-03-01T12:16:00-07:00",
-          "2010-03-01T12:17:00-07:00",
-          "2010-03-01T12:19:00-07:00",
-          "2010-03-01T12:20:00-07:00",
-          "2010-03-01T12:21:00-07:00",
-          "2010-03-01T12:22:00-07:00",
-          "2010-03-01T12:23:00-07:00",
-          "2010-03-01T12:24:00-07:00",
-          "2010-03-01T12:25:00-07:00",
-          "2010-03-01T12:27:00-07:00",
-          "2010-03-01T12:28:00-07:00",
-          "2010-03-01T12:29:00-07:00",
-          "2010-03-01T12:30:00-07:00",
-          "2010-03-01T12:31:00-07:00",
-          "2010-03-01T12:34:00-07:00",
-          "2010-03-01T12:35:00-07:00",
-          "2010-03-01T12:36:00-07:00",
-          "2010-03-01T12:38:00-07:00",
-          "2010-03-01T12:39:00-07:00",
-          "2010-03-01T12:40:00-07:00",
-          "2010-03-01T12:44:00-07:00",
-          "2010-03-01T12:45:00-07:00",
-          "2010-03-01T12:46:00-07:00",
-          "2010-03-01T12:47:00-07:00",
-          "2010-03-01T12:50:00-07:00",
-          "2010-03-01T12:51:00-07:00",
-          "2010-03-01T12:52:00-07:00",
-          "2010-03-01T12:53:00-07:00",
-          "2010-03-01T12:54:00-07:00",
-          "2010-03-01T12:55:00-07:00",
-          "2010-03-01T12:56:00-07:00",
-          "2010-03-01T12:57:00-07:00",
-          "2010-03-01T13:01:00-07:00",
-          "2010-03-01T13:02:00-07:00",
-          "2010-03-01T13:03:00-07:00",
-          "2010-03-01T13:04:00-07:00",
-          "2010-03-01T13:05:00-07:00",
-          "2010-03-01T13:06:00-07:00",
-          "2010-03-01T13:07:00-07:00",
-          "2010-03-01T13:08:00-07:00",
-          "2010-03-01T13:09:00-07:00",
-          "2010-03-01T13:10:00-07:00",
-          "2010-03-01T13:11:00-07:00",
-          "2010-03-01T13:15:00-07:00",
-          "2010-03-01T13:16:00-07:00",
-          "2010-03-01T13:19:00-07:00",
-          "2010-03-01T13:20:00-07:00",
-          "2010-03-01T13:21:00-07:00",
-          "2010-03-01T13:22:00-07:00",
-          "2010-03-01T13:23:00-07:00",
-          "2010-03-01T13:26:00-07:00",
-          "2010-03-01T13:27:00-07:00",
-          "2010-03-01T13:28:00-07:00",
-          "2010-03-01T13:30:00-07:00",
-          "2010-03-01T13:31:00-07:00",
-          "2010-03-01T13:33:00-07:00",
-          "2010-03-01T13:34:00-07:00",
-          "2010-03-01T13:35:00-07:00",
-          "2010-03-01T13:39:00-07:00",
-          "2010-03-01T13:41:00-07:00",
-          "2010-03-01T13:42:00-07:00",
-          "2010-03-01T13:43:00-07:00",
-          "2010-03-01T13:44:00-07:00",
-          "2010-03-01T13:46:00-07:00",
-          "2010-03-01T13:48:00-07:00",
-          "2010-03-01T13:51:00-07:00",
-          "2010-03-01T13:53:00-07:00",
-          "2010-03-01T13:54:00-07:00",
-          "2010-03-01T13:55:00-07:00",
-          "2010-03-01T13:56:00-07:00",
-          "2010-03-01T13:57:00-07:00",
-          "2010-03-01T13:58:00-07:00",
-          "2010-03-01T13:59:00-07:00",
-          "2010-03-01T14:00:00-07:00",
-          "2010-03-01T14:01:00-07:00",
-          "2010-03-01T14:02:00-07:00",
-          "2010-03-01T14:03:00-07:00",
-          "2010-03-01T14:04:00-07:00",
-          "2010-03-01T14:05:00-07:00",
-          "2010-03-01T14:06:00-07:00",
-          "2010-03-01T14:07:00-07:00",
-          "2010-03-01T14:08:00-07:00",
-          "2010-03-01T14:09:00-07:00",
-          "2010-03-01T14:10:00-07:00",
-          "2010-03-01T14:11:00-07:00",
-          "2010-03-01T14:12:00-07:00",
-          "2010-03-01T14:13:00-07:00",
-          "2010-03-01T14:14:00-07:00",
-          "2010-03-01T14:15:00-07:00",
-          "2010-03-01T14:16:00-07:00",
-          "2010-03-01T14:17:00-07:00",
-          "2010-03-01T14:18:00-07:00",
-          "2010-03-01T14:19:00-07:00",
-          "2010-03-01T14:20:00-07:00",
-          "2010-03-01T14:21:00-07:00",
-          "2010-03-01T14:22:00-07:00",
-          "2010-03-01T14:23:00-07:00",
-          "2010-03-01T14:24:00-07:00",
-          "2010-03-01T14:25:00-07:00",
-          "2010-03-01T14:26:00-07:00",
-          "2010-03-01T14:27:00-07:00",
-          "2010-03-01T14:28:00-07:00",
-          "2010-03-01T14:29:00-07:00",
-          "2010-03-01T14:30:00-07:00",
-          "2010-03-01T14:31:00-07:00",
-          "2010-03-01T14:32:00-07:00",
-          "2010-03-01T14:33:00-07:00",
-          "2010-03-01T14:34:00-07:00",
-          "2010-03-01T14:35:00-07:00",
-          "2010-03-01T14:36:00-07:00",
-          "2010-03-01T14:37:00-07:00",
-          "2010-03-01T14:38:00-07:00",
-          "2010-03-01T14:41:00-07:00",
-          "2010-03-01T14:42:00-07:00",
-          "2010-03-01T14:43:00-07:00",
-          "2010-03-01T14:44:00-07:00",
-          "2010-03-01T14:45:00-07:00",
-          "2010-03-01T14:46:00-07:00",
-          "2010-03-01T14:47:00-07:00",
-          "2010-03-01T14:48:00-07:00",
-          "2010-03-01T14:49:00-07:00",
-          "2010-03-01T14:50:00-07:00",
-          "2010-03-01T14:51:00-07:00",
-          "2010-03-01T14:52:00-07:00",
-          "2010-03-01T14:53:00-07:00",
-          "2010-03-01T14:54:00-07:00",
-          "2010-03-01T14:55:00-07:00",
-          "2010-03-01T14:56:00-07:00",
-          "2010-03-01T14:57:00-07:00",
-          "2010-03-01T14:58:00-07:00",
-          "2010-03-01T14:59:00-07:00",
-          "2010-03-01T15:00:00-07:00",
-          "2010-03-01T15:01:00-07:00",
-          "2010-03-01T15:02:00-07:00",
-          "2010-03-01T15:03:00-07:00",
-          "2010-03-01T15:04:00-07:00",
-          "2010-03-01T15:05:00-07:00",
-          "2010-03-01T15:06:00-07:00",
-          "2010-03-01T15:07:00-07:00",
-          "2010-03-01T15:08:00-07:00",
-          "2010-03-01T15:09:00-07:00",
-          "2010-03-01T15:10:00-07:00",
-          "2010-03-01T15:11:00-07:00",
-          "2010-03-01T15:12:00-07:00",
-          "2010-03-01T15:13:00-07:00",
-          "2010-03-01T15:14:00-07:00",
-          "2010-03-01T15:15:00-07:00",
-          "2010-03-01T15:16:00-07:00",
-          "2010-03-01T15:17:00-07:00",
-          "2010-03-01T15:18:00-07:00",
-          "2010-03-01T15:19:00-07:00",
-          "2010-03-01T15:20:00-07:00",
-          "2010-03-01T15:21:00-07:00",
-          "2010-03-01T15:22:00-07:00",
-          "2010-03-01T15:23:00-07:00",
-          "2010-03-01T15:24:00-07:00",
-          "2010-03-01T15:25:00-07:00",
-          "2010-03-01T15:26:00-07:00",
-          "2010-03-01T15:27:00-07:00",
-          "2010-03-01T15:28:00-07:00",
-          "2010-03-01T15:29:00-07:00",
-          "2010-03-01T15:30:00-07:00",
-          "2010-03-01T15:31:00-07:00",
-          "2010-03-01T15:32:00-07:00",
-          "2010-03-01T15:33:00-07:00",
-          "2010-03-01T15:34:00-07:00",
-          "2010-03-01T15:35:00-07:00",
-          "2010-03-01T15:36:00-07:00",
-          "2010-03-01T15:37:00-07:00",
-          "2010-03-01T15:38:00-07:00",
-          "2010-03-01T15:39:00-07:00",
-          "2010-03-01T15:40:00-07:00",
-          "2010-03-01T15:41:00-07:00",
-          "2010-03-01T15:42:00-07:00",
-          "2010-03-01T15:43:00-07:00",
-          "2010-03-01T15:44:00-07:00",
-          "2010-03-01T15:45:00-07:00",
-          "2010-03-01T15:46:00-07:00",
-          "2010-03-01T15:47:00-07:00",
-          "2010-03-01T15:48:00-07:00",
-          "2010-03-01T15:49:00-07:00",
-          "2010-03-01T15:50:00-07:00",
-          "2010-03-01T15:51:00-07:00",
-          "2010-03-01T15:52:00-07:00",
-          "2010-03-01T15:53:00-07:00",
-          "2010-03-01T15:54:00-07:00",
-          "2010-03-01T15:55:00-07:00",
-          "2010-03-01T15:56:00-07:00",
-          "2010-03-01T15:57:00-07:00",
-          "2010-03-01T15:58:00-07:00",
-          "2010-03-01T15:59:00-07:00",
-          "2010-03-01T16:00:00-07:00",
-          "2010-03-01T16:01:00-07:00",
-          "2010-03-01T16:02:00-07:00",
-          "2010-03-01T16:03:00-07:00",
-          "2010-03-01T16:04:00-07:00",
-          "2010-03-01T16:05:00-07:00",
-          "2010-03-01T16:06:00-07:00",
-          "2010-03-01T16:07:00-07:00",
-          "2010-03-01T16:08:00-07:00",
-          "2010-03-01T16:09:00-07:00",
-          "2010-03-01T16:10:00-07:00",
-          "2010-03-01T16:11:00-07:00",
-          "2010-03-01T16:12:00-07:00",
-          "2010-03-01T16:13:00-07:00",
-          "2010-03-01T16:14:00-07:00",
-          "2010-03-01T16:15:00-07:00",
-          "2010-03-01T16:16:00-07:00",
-          "2010-03-01T16:17:00-07:00",
-          "2010-03-01T16:18:00-07:00",
-          "2010-03-01T16:19:00-07:00",
-          "2010-03-01T16:20:00-07:00",
-          "2010-03-01T16:21:00-07:00",
-          "2010-03-01T16:22:00-07:00",
-          "2010-03-01T16:23:00-07:00",
-          "2010-03-01T16:24:00-07:00",
-          "2010-03-01T16:25:00-07:00",
-          "2010-03-01T16:26:00-07:00",
-          "2010-03-01T16:27:00-07:00",
-          "2010-03-01T16:28:00-07:00",
-          "2010-03-01T16:29:00-07:00",
-          "2010-03-01T16:30:00-07:00",
-          "2010-03-01T16:31:00-07:00",
-          "2010-03-01T16:32:00-07:00",
-          "2010-03-01T16:33:00-07:00",
-          "2010-03-01T16:34:00-07:00",
-          "2010-03-01T16:35:00-07:00",
-          "2010-03-01T16:36:00-07:00",
-          "2010-03-01T16:37:00-07:00",
-          "2010-03-01T16:38:00-07:00",
-          "2010-03-01T16:39:00-07:00",
-          "2010-03-01T16:40:00-07:00",
-          "2010-03-01T16:41:00-07:00",
-          "2010-03-01T16:42:00-07:00",
-          "2010-03-01T16:43:00-07:00",
-          "2010-03-01T16:44:00-07:00",
-          "2010-03-01T16:45:00-07:00",
-          "2010-03-01T16:46:00-07:00",
-          "2010-03-01T16:47:00-07:00",
-          "2010-03-01T16:48:00-07:00",
-          "2010-03-01T16:49:00-07:00",
-          "2010-03-01T16:50:00-07:00",
-          "2010-03-01T16:51:00-07:00",
-          "2010-03-01T16:52:00-07:00",
-          "2010-03-01T16:53:00-07:00",
-          "2010-03-01T16:54:00-07:00",
-          "2010-03-01T16:55:00-07:00",
-          "2010-03-01T16:56:00-07:00",
-          "2010-03-01T16:57:00-07:00",
-          "2010-03-01T16:58:00-07:00",
-          "2010-03-01T16:59:00-07:00",
-          "2010-03-01T17:00:00-07:00",
-          "2010-03-01T17:01:00-07:00",
-          "2010-03-01T17:02:00-07:00",
-          "2010-03-01T17:03:00-07:00",
-          "2010-03-01T17:04:00-07:00",
-          "2010-03-01T17:05:00-07:00",
-          "2010-03-01T17:06:00-07:00",
-          "2010-03-01T17:07:00-07:00",
-          "2010-03-01T17:08:00-07:00",
-          "2010-03-01T17:09:00-07:00",
-          "2010-03-01T17:10:00-07:00",
-          "2010-03-01T17:11:00-07:00",
-          "2010-03-01T17:12:00-07:00",
-          "2010-03-01T17:13:00-07:00",
-          "2010-03-01T17:14:00-07:00",
-          "2010-03-01T17:15:00-07:00",
-          "2010-03-01T17:16:00-07:00",
-          "2010-03-01T17:17:00-07:00",
-          "2010-03-01T17:18:00-07:00",
-          "2010-03-01T17:19:00-07:00",
-          "2010-03-01T17:20:00-07:00",
-          "2010-03-01T17:21:00-07:00",
-          "2010-03-01T17:22:00-07:00",
-          "2010-03-01T17:23:00-07:00",
-          "2010-03-01T17:24:00-07:00",
-          "2010-03-01T17:25:00-07:00",
-          "2010-03-01T17:26:00-07:00",
-          "2010-03-01T17:27:00-07:00",
-          "2010-03-01T17:28:00-07:00",
-          "2010-03-01T17:29:00-07:00",
-          "2010-03-01T17:30:00-07:00",
-          "2010-03-01T17:31:00-07:00",
-          "2010-03-01T17:32:00-07:00",
-          "2010-03-01T17:33:00-07:00",
-          "2010-03-01T17:34:00-07:00",
-          "2010-03-01T17:35:00-07:00",
-          "2010-03-01T17:36:00-07:00",
-          "2010-03-01T17:37:00-07:00",
-          "2010-03-01T17:38:00-07:00",
-          "2010-03-01T17:39:00-07:00",
-          "2010-03-01T17:40:00-07:00",
-          "2010-03-01T17:41:00-07:00",
-          "2010-03-01T17:42:00-07:00",
-          "2010-03-01T17:43:00-07:00",
-          "2010-03-01T17:44:00-07:00",
-          "2010-03-01T17:45:00-07:00",
-          "2010-03-01T17:46:00-07:00",
-          "2010-03-01T17:47:00-07:00",
-          "2010-03-01T17:48:00-07:00",
-          "2010-03-01T17:49:00-07:00",
-          "2010-03-01T17:50:00-07:00",
-          "2010-03-01T17:51:00-07:00",
-          "2010-03-01T17:52:00-07:00",
-          "2010-03-01T17:53:00-07:00",
-          "2010-03-01T17:54:00-07:00",
-          "2010-03-01T17:55:00-07:00",
-          "2010-03-01T17:56:00-07:00",
-          "2010-03-01T17:57:00-07:00",
-          "2010-03-01T17:58:00-07:00",
-          "2010-03-01T17:59:00-07:00",
-          "2010-03-01T18:00:00-07:00",
-          "2010-03-01T18:01:00-07:00",
-          "2010-03-01T18:02:00-07:00",
-          "2010-03-01T18:03:00-07:00",
-          "2010-03-01T18:04:00-07:00",
-          "2010-03-01T18:05:00-07:00",
-          "2010-03-01T18:06:00-07:00",
-          "2010-03-01T18:07:00-07:00",
-          "2010-03-01T18:08:00-07:00",
-          "2010-03-01T18:09:00-07:00",
-          "2010-03-01T18:10:00-07:00",
-          "2010-03-01T18:11:00-07:00",
-          "2010-03-01T18:12:00-07:00",
-          "2010-03-01T18:13:00-07:00",
-          "2010-03-01T18:14:00-07:00",
-          "2010-03-01T18:15:00-07:00",
-          "2010-03-01T18:16:00-07:00",
-          "2010-03-01T18:17:00-07:00",
-          "2010-03-01T18:18:00-07:00",
-          "2010-03-01T18:19:00-07:00",
-          "2010-03-01T18:20:00-07:00",
-          "2010-03-01T18:21:00-07:00",
-          "2010-03-01T18:22:00-07:00",
-          "2010-03-01T18:23:00-07:00",
-          "2010-03-01T18:24:00-07:00",
-          "2010-03-01T18:25:00-07:00",
-          "2010-03-01T18:26:00-07:00",
-          "2010-03-01T18:27:00-07:00",
-          "2010-03-01T18:28:00-07:00",
-          "2010-03-01T18:29:00-07:00",
-          "2010-03-01T18:30:00-07:00",
-          "2010-03-01T18:31:00-07:00",
-          "2010-03-01T18:32:00-07:00",
-          "2010-03-01T18:33:00-07:00",
-          "2010-03-01T18:34:00-07:00",
-          "2010-03-01T18:35:00-07:00",
-          "2010-03-01T18:36:00-07:00",
-          "2010-03-01T18:37:00-07:00",
-          "2010-03-01T18:38:00-07:00",
-          "2010-03-01T18:39:00-07:00",
-          "2010-03-01T18:40:00-07:00",
-          "2010-03-01T18:41:00-07:00",
-          "2010-03-01T18:42:00-07:00",
-          "2010-03-01T18:43:00-07:00",
-          "2010-03-01T18:44:00-07:00",
-          "2010-03-01T18:45:00-07:00",
-          "2010-03-01T18:46:00-07:00",
-          "2010-03-01T18:47:00-07:00",
-          "2010-03-01T18:48:00-07:00",
-          "2010-03-01T18:49:00-07:00",
-          "2010-03-01T18:50:00-07:00",
-          "2010-03-01T18:51:00-07:00",
-          "2010-03-01T18:52:00-07:00",
-          "2010-03-01T18:53:00-07:00",
-          "2010-03-01T18:54:00-07:00",
-          "2010-03-01T18:55:00-07:00",
-          "2010-03-01T18:56:00-07:00",
-          "2010-03-01T18:57:00-07:00",
-          "2010-03-01T18:58:00-07:00",
-          "2010-03-01T18:59:00-07:00",
-          "2010-03-01T19:00:00-07:00",
-          "2010-03-01T19:01:00-07:00",
-          "2010-03-01T19:02:00-07:00",
-          "2010-03-01T19:03:00-07:00",
-          "2010-03-01T19:04:00-07:00",
-          "2010-03-01T19:05:00-07:00",
-          "2010-03-01T19:06:00-07:00",
-          "2010-03-01T19:07:00-07:00",
-          "2010-03-01T19:08:00-07:00",
-          "2010-03-01T19:09:00-07:00",
-          "2010-03-01T19:10:00-07:00",
-          "2010-03-01T19:11:00-07:00",
-          "2010-03-01T19:12:00-07:00",
-          "2010-03-01T19:13:00-07:00",
-          "2010-03-01T19:14:00-07:00",
-          "2010-03-01T19:15:00-07:00",
-          "2010-03-01T19:16:00-07:00",
-          "2010-03-01T19:17:00-07:00",
-          "2010-03-01T19:18:00-07:00",
-          "2010-03-01T19:19:00-07:00",
-          "2010-03-01T19:20:00-07:00",
-          "2010-03-01T19:21:00-07:00",
-          "2010-03-01T19:22:00-07:00",
-          "2010-03-01T19:23:00-07:00",
-          "2010-03-01T19:24:00-07:00",
-          "2010-03-01T19:25:00-07:00",
-          "2010-03-01T19:26:00-07:00",
-          "2010-03-01T19:27:00-07:00",
-          "2010-03-01T19:28:00-07:00",
-          "2010-03-01T19:29:00-07:00",
-          "2010-03-01T19:30:00-07:00",
-          "2010-03-01T19:31:00-07:00",
-          "2010-03-01T19:32:00-07:00",
-          "2010-03-01T19:33:00-07:00",
-          "2010-03-01T19:34:00-07:00",
-          "2010-03-01T19:35:00-07:00",
-          "2010-03-01T19:36:00-07:00",
-          "2010-03-01T19:37:00-07:00",
-          "2010-03-01T19:38:00-07:00",
-          "2010-03-01T19:39:00-07:00",
-          "2010-03-01T19:40:00-07:00",
-          "2010-03-01T19:41:00-07:00",
-          "2010-03-01T19:42:00-07:00",
-          "2010-03-01T19:43:00-07:00",
-          "2010-03-01T19:44:00-07:00",
-          "2010-03-01T19:45:00-07:00",
-          "2010-03-01T19:46:00-07:00",
-          "2010-03-01T19:47:00-07:00",
-          "2010-03-01T19:48:00-07:00",
-          "2010-03-01T19:49:00-07:00",
-          "2010-03-01T19:50:00-07:00",
-          "2010-03-01T19:51:00-07:00",
-          "2010-03-01T19:52:00-07:00",
-          "2010-03-01T19:53:00-07:00",
-          "2010-03-01T19:54:00-07:00",
-          "2010-03-01T19:55:00-07:00",
-          "2010-03-01T19:56:00-07:00",
-          "2010-03-01T19:57:00-07:00",
-          "2010-03-01T19:58:00-07:00",
-          "2010-03-01T19:59:00-07:00",
-          "2010-03-01T20:00:00-07:00",
-          "2010-03-01T20:01:00-07:00",
-          "2010-03-01T20:02:00-07:00",
-          "2010-03-01T20:03:00-07:00",
-          "2010-03-01T20:04:00-07:00",
-          "2010-03-01T20:05:00-07:00",
-          "2010-03-01T20:06:00-07:00",
-          "2010-03-01T20:07:00-07:00",
-          "2010-03-01T20:08:00-07:00",
-          "2010-03-01T20:09:00-07:00",
-          "2010-03-01T20:10:00-07:00",
-          "2010-03-01T20:11:00-07:00",
-          "2010-03-01T20:12:00-07:00",
-          "2010-03-01T20:13:00-07:00",
-          "2010-03-01T20:14:00-07:00",
-          "2010-03-01T20:15:00-07:00",
-          "2010-03-01T20:16:00-07:00",
-          "2010-03-01T20:17:00-07:00",
-          "2010-03-01T20:18:00-07:00",
-          "2010-03-01T20:19:00-07:00",
-          "2010-03-01T20:20:00-07:00",
-          "2010-03-01T20:21:00-07:00",
-          "2010-03-01T20:22:00-07:00",
-          "2010-03-01T20:23:00-07:00",
-          "2010-03-01T20:24:00-07:00",
-          "2010-03-01T20:25:00-07:00",
-          "2010-03-01T20:26:00-07:00",
-          "2010-03-01T20:27:00-07:00",
-          "2010-03-01T20:28:00-07:00",
-          "2010-03-01T20:29:00-07:00",
-          "2010-03-01T20:30:00-07:00",
-          "2010-03-01T20:31:00-07:00",
-          "2010-03-01T20:32:00-07:00",
-          "2010-03-01T20:33:00-07:00",
-          "2010-03-01T20:34:00-07:00",
-          "2010-03-01T20:35:00-07:00",
-          "2010-03-01T20:36:00-07:00",
-          "2010-03-01T20:37:00-07:00",
-          "2010-03-01T20:38:00-07:00",
-          "2010-03-01T20:39:00-07:00",
-          "2010-03-01T20:40:00-07:00",
-          "2010-03-01T20:41:00-07:00",
-          "2010-03-01T20:42:00-07:00",
-          "2010-03-01T20:43:00-07:00",
-          "2010-03-01T20:44:00-07:00",
-          "2010-03-01T20:45:00-07:00",
-          "2010-03-01T20:46:00-07:00",
-          "2010-03-01T20:47:00-07:00",
-          "2010-03-01T20:48:00-07:00",
-          "2010-03-01T20:49:00-07:00",
-          "2010-03-01T20:50:00-07:00",
-          "2010-03-01T20:51:00-07:00",
-          "2010-03-01T20:52:00-07:00",
-          "2010-03-01T20:53:00-07:00",
-          "2010-03-01T20:54:00-07:00",
-          "2010-03-01T20:55:00-07:00",
-          "2010-03-01T20:56:00-07:00",
-          "2010-03-01T20:57:00-07:00",
-          "2010-03-01T20:58:00-07:00",
-          "2010-03-01T20:59:00-07:00",
-          "2010-03-01T21:00:00-07:00",
-          "2010-03-01T21:01:00-07:00",
-          "2010-03-01T21:02:00-07:00",
-          "2010-03-01T21:03:00-07:00",
-          "2010-03-01T21:04:00-07:00",
-          "2010-03-01T21:05:00-07:00",
-          "2010-03-01T21:06:00-07:00",
-          "2010-03-01T21:07:00-07:00",
-          "2010-03-01T21:08:00-07:00",
-          "2010-03-01T21:09:00-07:00",
-          "2010-03-01T21:10:00-07:00",
-          "2010-03-01T21:11:00-07:00",
-          "2010-03-01T21:12:00-07:00",
-          "2010-03-01T21:13:00-07:00",
-          "2010-03-01T21:14:00-07:00",
-          "2010-03-01T21:15:00-07:00",
-          "2010-03-01T21:16:00-07:00",
-          "2010-03-01T21:17:00-07:00",
-          "2010-03-01T21:18:00-07:00",
-          "2010-03-01T21:19:00-07:00",
-          "2010-03-01T21:20:00-07:00",
-          "2010-03-01T21:21:00-07:00",
-          "2010-03-01T21:22:00-07:00",
-          "2010-03-01T21:23:00-07:00",
-          "2010-03-01T21:24:00-07:00",
-          "2010-03-01T21:25:00-07:00",
-          "2010-03-01T21:26:00-07:00",
-          "2010-03-01T21:27:00-07:00",
-          "2010-03-01T21:28:00-07:00",
-          "2010-03-01T21:29:00-07:00",
-          "2010-03-01T21:30:00-07:00",
-          "2010-03-01T21:31:00-07:00",
-          "2010-03-01T21:32:00-07:00",
-          "2010-03-01T21:33:00-07:00",
-          "2010-03-01T21:34:00-07:00",
-          "2010-03-01T21:35:00-07:00",
-          "2010-03-01T21:36:00-07:00",
-          "2010-03-01T21:37:00-07:00",
-          "2010-03-01T21:38:00-07:00",
-          "2010-03-01T21:39:00-07:00",
-          "2010-03-01T21:40:00-07:00",
-          "2010-03-01T21:41:00-07:00",
-          "2010-03-01T21:42:00-07:00",
-          "2010-03-01T21:43:00-07:00",
-          "2010-03-01T21:44:00-07:00",
-          "2010-03-01T21:45:00-07:00",
-          "2010-03-01T21:46:00-07:00",
-          "2010-03-01T21:47:00-07:00",
-          "2010-03-01T21:48:00-07:00",
-          "2010-03-01T21:49:00-07:00",
-          "2010-03-01T21:50:00-07:00",
-          "2010-03-01T21:51:00-07:00",
-          "2010-03-01T21:52:00-07:00",
-          "2010-03-01T21:53:00-07:00",
-          "2010-03-01T21:54:00-07:00",
-          "2010-03-01T21:55:00-07:00",
-          "2010-03-01T21:56:00-07:00",
-          "2010-03-01T21:57:00-07:00",
-          "2010-03-01T21:58:00-07:00",
-          "2010-03-01T21:59:00-07:00",
-          "2010-03-01T22:00:00-07:00",
-          "2010-03-01T22:01:00-07:00",
-          "2010-03-01T22:02:00-07:00",
-          "2010-03-01T22:03:00-07:00",
-          "2010-03-01T22:04:00-07:00",
-          "2010-03-01T22:05:00-07:00",
-          "2010-03-01T22:06:00-07:00",
-          "2010-03-01T22:07:00-07:00",
-          "2010-03-01T22:08:00-07:00",
-          "2010-03-01T22:09:00-07:00",
-          "2010-03-01T22:10:00-07:00",
-          "2010-03-01T22:11:00-07:00",
-          "2010-03-01T22:12:00-07:00",
-          "2010-03-01T22:13:00-07:00",
-          "2010-03-01T22:14:00-07:00",
-          "2010-03-01T22:15:00-07:00",
-          "2010-03-01T22:16:00-07:00",
-          "2010-03-01T22:17:00-07:00",
-          "2010-03-01T22:18:00-07:00",
-          "2010-03-01T22:19:00-07:00",
-          "2010-03-01T22:20:00-07:00",
-          "2010-03-01T22:21:00-07:00",
-          "2010-03-01T22:22:00-07:00",
-          "2010-03-01T22:23:00-07:00",
-          "2010-03-01T22:24:00-07:00",
-          "2010-03-01T22:25:00-07:00",
-          "2010-03-01T22:26:00-07:00",
-          "2010-03-01T22:27:00-07:00",
-          "2010-03-01T22:28:00-07:00",
-          "2010-03-01T22:29:00-07:00",
-          "2010-03-01T22:30:00-07:00",
-          "2010-03-01T22:31:00-07:00",
-          "2010-03-01T22:32:00-07:00",
-          "2010-03-01T22:33:00-07:00",
-          "2010-03-01T22:34:00-07:00",
-          "2010-03-01T22:35:00-07:00",
-          "2010-03-01T22:36:00-07:00",
-          "2010-03-01T22:37:00-07:00",
-          "2010-03-01T22:38:00-07:00",
-          "2010-03-01T22:39:00-07:00",
-          "2010-03-01T22:40:00-07:00",
-          "2010-03-01T22:41:00-07:00",
-          "2010-03-01T22:42:00-07:00",
-          "2010-03-01T22:43:00-07:00",
-          "2010-03-01T22:44:00-07:00",
-          "2010-03-01T22:45:00-07:00",
-          "2010-03-01T22:46:00-07:00",
-          "2010-03-01T22:47:00-07:00",
-          "2010-03-01T22:48:00-07:00",
-          "2010-03-01T22:49:00-07:00",
-          "2010-03-01T22:50:00-07:00",
-          "2010-03-01T22:51:00-07:00",
-          "2010-03-01T22:52:00-07:00",
-          "2010-03-01T22:53:00-07:00",
-          "2010-03-01T22:54:00-07:00",
-          "2010-03-01T22:55:00-07:00",
-          "2010-03-01T22:56:00-07:00",
-          "2010-03-01T22:57:00-07:00",
-          "2010-03-01T22:58:00-07:00",
-          "2010-03-01T22:59:00-07:00",
-          "2010-03-01T23:00:00-07:00",
-          "2010-03-01T23:01:00-07:00",
-          "2010-03-01T23:02:00-07:00",
-          "2010-03-01T23:03:00-07:00",
-          "2010-03-01T23:04:00-07:00",
-          "2010-03-01T23:05:00-07:00",
-          "2010-03-01T23:06:00-07:00",
-          "2010-03-01T23:07:00-07:00",
-          "2010-03-01T23:08:00-07:00",
-          "2010-03-01T23:09:00-07:00",
-          "2010-03-01T23:10:00-07:00",
-          "2010-03-01T23:11:00-07:00",
-          "2010-03-01T23:12:00-07:00",
-          "2010-03-01T23:13:00-07:00",
-          "2010-03-01T23:14:00-07:00",
-          "2010-03-01T23:15:00-07:00",
-          "2010-03-01T23:16:00-07:00",
-          "2010-03-01T23:17:00-07:00",
-          "2010-03-01T23:18:00-07:00",
-          "2010-03-01T23:19:00-07:00",
-          "2010-03-01T23:20:00-07:00",
-          "2010-03-01T23:21:00-07:00",
-          "2010-03-01T23:22:00-07:00",
-          "2010-03-01T23:23:00-07:00",
-          "2010-03-01T23:24:00-07:00",
-          "2010-03-01T23:25:00-07:00",
-          "2010-03-01T23:26:00-07:00",
-          "2010-03-01T23:27:00-07:00",
-          "2010-03-01T23:28:00-07:00",
-          "2010-03-01T23:29:00-07:00",
-          "2010-03-01T23:30:00-07:00",
-          "2010-03-01T23:31:00-07:00",
-          "2010-03-01T23:32:00-07:00",
-          "2010-03-01T23:33:00-07:00",
-          "2010-03-01T23:34:00-07:00",
-          "2010-03-01T23:35:00-07:00",
-          "2010-03-01T23:36:00-07:00",
-          "2010-03-01T23:37:00-07:00",
-          "2010-03-01T23:38:00-07:00",
-          "2010-03-01T23:39:00-07:00",
-          "2010-03-01T23:40:00-07:00",
-          "2010-03-01T23:41:00-07:00",
-          "2010-03-01T23:42:00-07:00",
-          "2010-03-01T23:43:00-07:00",
-          "2010-03-01T23:44:00-07:00",
-          "2010-03-01T23:45:00-07:00",
-          "2010-03-01T23:46:00-07:00",
-          "2010-03-01T23:47:00-07:00",
-          "2010-03-01T23:48:00-07:00",
-          "2010-03-01T23:49:00-07:00",
-          "2010-03-01T23:50:00-07:00",
-          "2010-03-01T23:51:00-07:00",
-          "2010-03-01T23:52:00-07:00",
-          "2010-03-01T23:53:00-07:00",
-          "2010-03-01T23:54:00-07:00",
-          "2010-03-01T23:55:00-07:00",
-          "2010-03-01T23:56:00-07:00",
-          "2010-03-01T23:57:00-07:00",
-          "2010-03-01T23:58:00-07:00",
-          "2010-03-01T23:59:00-07:00",
-          "2010-03-02T00:00:00-07:00",
-          "2010-03-02T00:01:00-07:00",
-          "2010-03-02T00:02:00-07:00",
-          "2010-03-02T00:03:00-07:00",
-          "2010-03-02T00:04:00-07:00",
-          "2010-03-02T00:05:00-07:00",
-          "2010-03-02T00:06:00-07:00",
-          "2010-03-02T00:07:00-07:00",
-          "2010-03-02T00:08:00-07:00",
-          "2010-03-02T00:09:00-07:00",
-          "2010-03-02T00:10:00-07:00",
-          "2010-03-02T00:11:00-07:00",
-          "2010-03-02T00:12:00-07:00",
-          "2010-03-02T00:13:00-07:00",
-          "2010-03-02T00:14:00-07:00",
-          "2010-03-02T00:15:00-07:00",
-          "2010-03-02T00:16:00-07:00",
-          "2010-03-02T00:17:00-07:00",
-          "2010-03-02T00:18:00-07:00",
-          "2010-03-02T00:19:00-07:00",
-          "2010-03-02T00:20:00-07:00",
-          "2010-03-02T00:21:00-07:00",
-          "2010-03-02T00:22:00-07:00",
-          "2010-03-02T00:23:00-07:00",
-          "2010-03-02T00:24:00-07:00",
-          "2010-03-02T00:25:00-07:00",
-          "2010-03-02T00:26:00-07:00",
-          "2010-03-02T00:27:00-07:00",
-          "2010-03-02T00:28:00-07:00",
-          "2010-03-02T00:29:00-07:00",
-          "2010-03-02T00:30:00-07:00",
-          "2010-03-02T00:31:00-07:00",
-          "2010-03-02T00:32:00-07:00",
-          "2010-03-02T00:33:00-07:00",
-          "2010-03-02T00:34:00-07:00",
-          "2010-03-02T00:35:00-07:00",
-          "2010-03-02T00:36:00-07:00",
-          "2010-03-02T00:37:00-07:00",
-          "2010-03-02T00:38:00-07:00",
-          "2010-03-02T00:39:00-07:00",
-          "2010-03-02T00:40:00-07:00",
-          "2010-03-02T00:41:00-07:00",
-          "2010-03-02T00:42:00-07:00",
-          "2010-03-02T00:43:00-07:00",
-          "2010-03-02T00:44:00-07:00",
-          "2010-03-02T00:45:00-07:00",
-          "2010-03-02T00:46:00-07:00",
-          "2010-03-02T00:47:00-07:00",
-          "2010-03-02T00:48:00-07:00",
-          "2010-03-02T00:49:00-07:00",
-          "2010-03-02T00:50:00-07:00",
-          "2010-03-02T00:51:00-07:00",
-          "2010-03-02T00:52:00-07:00",
-          "2010-03-02T00:53:00-07:00",
-          "2010-03-02T00:54:00-07:00",
-          "2010-03-02T00:55:00-07:00",
-          "2010-03-02T00:56:00-07:00",
-          "2010-03-02T00:57:00-07:00",
-          "2010-03-02T00:58:00-07:00",
-          "2010-03-02T00:59:00-07:00",
-          "2010-03-02T01:00:00-07:00",
-          "2010-03-02T01:01:00-07:00",
-          "2010-03-02T01:02:00-07:00",
-          "2010-03-02T01:03:00-07:00",
-          "2010-03-02T01:04:00-07:00",
-          "2010-03-02T01:05:00-07:00",
-          "2010-03-02T01:06:00-07:00",
-          "2010-03-02T01:07:00-07:00",
-          "2010-03-02T01:08:00-07:00",
-          "2010-03-02T01:09:00-07:00",
-          "2010-03-02T01:10:00-07:00",
-          "2010-03-02T01:11:00-07:00",
-          "2010-03-02T01:12:00-07:00",
-          "2010-03-02T01:13:00-07:00",
-          "2010-03-02T01:14:00-07:00",
-          "2010-03-02T01:15:00-07:00",
-          "2010-03-02T01:16:00-07:00",
-          "2010-03-02T01:17:00-07:00",
-          "2010-03-02T01:18:00-07:00",
-          "2010-03-02T01:19:00-07:00",
-          "2010-03-02T01:20:00-07:00",
-          "2010-03-02T01:21:00-07:00",
-          "2010-03-02T01:22:00-07:00",
-          "2010-03-02T01:23:00-07:00",
-          "2010-03-02T01:24:00-07:00",
-          "2010-03-02T01:25:00-07:00",
-          "2010-03-02T01:26:00-07:00",
-          "2010-03-02T01:27:00-07:00",
-          "2010-03-02T01:28:00-07:00",
-          "2010-03-02T01:29:00-07:00",
-          "2010-03-02T01:30:00-07:00",
-          "2010-03-02T01:31:00-07:00",
-          "2010-03-02T01:32:00-07:00",
-          "2010-03-02T01:33:00-07:00",
-          "2010-03-02T01:34:00-07:00",
-          "2010-03-02T01:35:00-07:00",
-          "2010-03-02T01:36:00-07:00",
-          "2010-03-02T01:37:00-07:00",
-          "2010-03-02T01:38:00-07:00",
-          "2010-03-02T01:39:00-07:00",
-          "2010-03-02T01:40:00-07:00",
-          "2010-03-02T01:41:00-07:00",
-          "2010-03-02T01:42:00-07:00",
-          "2010-03-02T01:43:00-07:00",
-          "2010-03-02T01:44:00-07:00",
-          "2010-03-02T01:45:00-07:00",
-          "2010-03-02T01:46:00-07:00",
-          "2010-03-02T01:47:00-07:00",
-          "2010-03-02T01:48:00-07:00",
-          "2010-03-02T01:49:00-07:00",
-          "2010-03-02T01:50:00-07:00",
-          "2010-03-02T01:51:00-07:00",
-          "2010-03-02T01:52:00-07:00",
-          "2010-03-02T01:53:00-07:00",
-          "2010-03-02T01:54:00-07:00",
-          "2010-03-02T01:55:00-07:00",
-          "2010-03-02T01:56:00-07:00",
-          "2010-03-02T01:57:00-07:00",
-          "2010-03-02T01:58:00-07:00",
-          "2010-03-02T01:59:00-07:00",
-          "2010-03-02T02:00:00-07:00",
-          "2010-03-02T02:01:00-07:00",
-          "2010-03-02T02:02:00-07:00",
-          "2010-03-02T02:03:00-07:00",
-          "2010-03-02T02:04:00-07:00",
-          "2010-03-02T02:05:00-07:00",
-          "2010-03-02T02:06:00-07:00",
-          "2010-03-02T02:07:00-07:00",
-          "2010-03-02T02:08:00-07:00",
-          "2010-03-02T02:09:00-07:00",
-          "2010-03-02T02:10:00-07:00",
-          "2010-03-02T02:11:00-07:00",
-          "2010-03-02T02:12:00-07:00",
-          "2010-03-02T02:13:00-07:00",
-          "2010-03-02T02:14:00-07:00",
-          "2010-03-02T02:15:00-07:00",
-          "2010-03-02T02:16:00-07:00",
-          "2010-03-02T02:17:00-07:00",
-          "2010-03-02T02:18:00-07:00",
-          "2010-03-02T02:19:00-07:00",
-          "2010-03-02T02:20:00-07:00",
-          "2010-03-02T02:21:00-07:00",
-          "2010-03-02T02:22:00-07:00",
-          "2010-03-02T02:23:00-07:00",
-          "2010-03-02T02:24:00-07:00",
-          "2010-03-02T02:25:00-07:00",
-          "2010-03-02T02:26:00-07:00",
-          "2010-03-02T02:27:00-07:00",
-          "2010-03-02T02:28:00-07:00",
-          "2010-03-02T02:29:00-07:00",
-          "2010-03-02T02:30:00-07:00",
-          "2010-03-02T02:31:00-07:00",
-          "2010-03-02T02:32:00-07:00",
-          "2010-03-02T02:33:00-07:00",
-          "2010-03-02T02:34:00-07:00",
-          "2010-03-02T02:35:00-07:00",
-          "2010-03-02T02:36:00-07:00",
-          "2010-03-02T02:37:00-07:00",
-          "2010-03-02T02:38:00-07:00",
-          "2010-03-02T02:39:00-07:00",
-          "2010-03-02T02:40:00-07:00",
-          "2010-03-02T02:41:00-07:00",
-          "2010-03-02T02:42:00-07:00",
-          "2010-03-02T02:43:00-07:00",
-          "2010-03-02T02:44:00-07:00",
-          "2010-03-02T02:45:00-07:00",
-          "2010-03-02T02:46:00-07:00",
-          "2010-03-02T02:47:00-07:00",
-          "2010-03-02T02:48:00-07:00",
-          "2010-03-02T02:49:00-07:00",
-          "2010-03-02T02:50:00-07:00",
-          "2010-03-02T02:51:00-07:00",
-          "2010-03-02T02:52:00-07:00",
-          "2010-03-02T02:53:00-07:00",
-          "2010-03-02T02:54:00-07:00",
-          "2010-03-02T02:55:00-07:00",
-          "2010-03-02T02:56:00-07:00",
-          "2010-03-02T02:57:00-07:00",
-          "2010-03-02T02:58:00-07:00",
-          "2010-03-02T02:59:00-07:00",
-          "2010-03-02T03:00:00-07:00",
-          "2010-03-02T03:01:00-07:00",
-          "2010-03-02T03:02:00-07:00",
-          "2010-03-02T03:03:00-07:00",
-          "2010-03-02T03:04:00-07:00",
-          "2010-03-02T03:05:00-07:00",
-          "2010-03-02T03:06:00-07:00",
-          "2010-03-02T03:07:00-07:00",
-          "2010-03-02T03:08:00-07:00",
-          "2010-03-02T03:09:00-07:00",
-          "2010-03-02T03:10:00-07:00",
-          "2010-03-02T03:11:00-07:00",
-          "2010-03-02T03:12:00-07:00",
-          "2010-03-02T03:13:00-07:00",
-          "2010-03-02T03:14:00-07:00",
-          "2010-03-02T03:15:00-07:00",
-          "2010-03-02T03:16:00-07:00",
-          "2010-03-02T03:17:00-07:00",
-          "2010-03-02T03:18:00-07:00",
-          "2010-03-02T03:19:00-07:00",
-          "2010-03-02T03:20:00-07:00",
-          "2010-03-02T03:21:00-07:00",
-          "2010-03-02T03:22:00-07:00",
-          "2010-03-02T03:23:00-07:00",
-          "2010-03-02T03:24:00-07:00",
-          "2010-03-02T03:25:00-07:00",
-          "2010-03-02T03:26:00-07:00",
-          "2010-03-02T03:27:00-07:00",
-          "2010-03-02T03:28:00-07:00",
-          "2010-03-02T03:29:00-07:00",
-          "2010-03-02T03:30:00-07:00",
-          "2010-03-02T03:31:00-07:00",
-          "2010-03-02T03:32:00-07:00",
-          "2010-03-02T03:33:00-07:00",
-          "2010-03-02T03:34:00-07:00",
-          "2010-03-02T03:35:00-07:00",
-          "2010-03-02T03:36:00-07:00",
-          "2010-03-02T03:37:00-07:00",
-          "2010-03-02T03:38:00-07:00",
-          "2010-03-02T03:39:00-07:00",
-          "2010-03-02T03:40:00-07:00",
-          "2010-03-02T03:41:00-07:00",
-          "2010-03-02T03:42:00-07:00",
-          "2010-03-02T03:43:00-07:00",
-          "2010-03-02T03:44:00-07:00",
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-          "2010-03-02T03:46:00-07:00",
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-          "2010-03-02T03:49:00-07:00",
-          "2010-03-02T03:50:00-07:00",
-          "2010-03-02T03:51:00-07:00",
-          "2010-03-02T03:52:00-07:00",
-          "2010-03-02T03:53:00-07:00",
-          "2010-03-02T03:54:00-07:00",
-          "2010-03-02T03:55:00-07:00",
-          "2010-03-02T03:56:00-07:00",
-          "2010-03-02T03:57:00-07:00",
-          "2010-03-02T03:58:00-07:00",
-          "2010-03-02T03:59:00-07:00",
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-          "2010-03-02T04:03:00-07:00",
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-          "2010-03-02T04:07:00-07:00",
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-          "2010-03-02T04:09:00-07:00",
-          "2010-03-02T04:10:00-07:00",
-          "2010-03-02T04:11:00-07:00",
-          "2010-03-02T04:12:00-07:00",
-          "2010-03-02T04:13:00-07:00",
-          "2010-03-02T04:14:00-07:00",
-          "2010-03-02T04:15:00-07:00",
-          "2010-03-02T04:16:00-07:00",
-          "2010-03-02T04:17:00-07:00",
-          "2010-03-02T04:18:00-07:00",
-          "2010-03-02T04:19:00-07:00",
-          "2010-03-02T04:20:00-07:00",
-          "2010-03-02T04:21:00-07:00",
-          "2010-03-02T04:22:00-07:00",
-          "2010-03-02T04:23:00-07:00",
-          "2010-03-02T04:24:00-07:00",
-          "2010-03-02T04:25:00-07:00",
-          "2010-03-02T04:26:00-07:00",
-          "2010-03-02T04:27:00-07:00",
-          "2010-03-02T04:28:00-07:00",
-          "2010-03-02T04:29:00-07:00",
-          "2010-03-02T04:30:00-07:00",
-          "2010-03-02T04:31:00-07:00",
-          "2010-03-02T04:32:00-07:00",
-          "2010-03-02T04:33:00-07:00",
-          "2010-03-02T04:34:00-07:00",
-          "2010-03-02T04:35:00-07:00",
-          "2010-03-02T04:36:00-07:00",
-          "2010-03-02T04:37:00-07:00",
-          "2010-03-02T04:38:00-07:00",
-          "2010-03-02T04:39:00-07:00",
-          "2010-03-02T04:40:00-07:00",
-          "2010-03-02T04:41:00-07:00",
-          "2010-03-02T04:42:00-07:00",
-          "2010-03-02T04:43:00-07:00",
-          "2010-03-02T04:44:00-07:00",
-          "2010-03-02T04:45:00-07:00",
-          "2010-03-02T04:46:00-07:00",
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-          "2010-03-02T04:49:00-07:00",
-          "2010-03-02T04:50:00-07:00",
-          "2010-03-02T04:51:00-07:00",
-          "2010-03-02T04:52:00-07:00",
-          "2010-03-02T04:53:00-07:00",
-          "2010-03-02T04:54:00-07:00",
-          "2010-03-02T04:55:00-07:00",
-          "2010-03-02T04:56:00-07:00",
-          "2010-03-02T04:57:00-07:00",
-          "2010-03-02T04:58:00-07:00",
-          "2010-03-02T04:59:00-07:00",
-          "2010-03-02T05:00:00-07:00",
-          "2010-03-02T05:01:00-07:00",
-          "2010-03-02T05:02:00-07:00",
-          "2010-03-02T05:03:00-07:00",
-          "2010-03-02T05:04:00-07:00",
-          "2010-03-02T05:05:00-07:00",
-          "2010-03-02T05:06:00-07:00",
-          "2010-03-02T05:07:00-07:00",
-          "2010-03-02T05:08:00-07:00",
-          "2010-03-02T05:09:00-07:00",
-          "2010-03-02T05:10:00-07:00",
-          "2010-03-02T05:11:00-07:00",
-          "2010-03-02T05:12:00-07:00",
-          "2010-03-02T05:13:00-07:00",
-          "2010-03-02T05:14:00-07:00",
-          "2010-03-02T05:15:00-07:00",
-          "2010-03-02T05:16:00-07:00",
-          "2010-03-02T05:17:00-07:00",
-          "2010-03-02T05:18:00-07:00",
-          "2010-03-02T05:19:00-07:00",
-          "2010-03-02T05:20:00-07:00",
-          "2010-03-02T05:21:00-07:00",
-          "2010-03-02T05:22:00-07:00",
-          "2010-03-02T05:23:00-07:00",
-          "2010-03-02T05:24:00-07:00",
-          "2010-03-02T05:25:00-07:00",
-          "2010-03-02T05:26:00-07:00",
-          "2010-03-02T05:27:00-07:00",
-          "2010-03-02T05:28:00-07:00",
-          "2010-03-02T05:29:00-07:00",
-          "2010-03-02T05:30:00-07:00",
-          "2010-03-02T05:31:00-07:00",
-          "2010-03-02T05:32:00-07:00",
-          "2010-03-02T05:33:00-07:00",
-          "2010-03-02T05:34:00-07:00",
-          "2010-03-02T05:35:00-07:00",
-          "2010-03-02T05:36:00-07:00",
-          "2010-03-02T05:37:00-07:00",
-          "2010-03-02T05:38:00-07:00",
-          "2010-03-02T05:39:00-07:00",
-          "2010-03-02T05:40:00-07:00",
-          "2010-03-02T05:41:00-07:00",
-          "2010-03-02T05:42:00-07:00",
-          "2010-03-02T05:43:00-07:00",
-          "2010-03-02T05:44:00-07:00",
-          "2010-03-02T05:45:00-07:00",
-          "2010-03-02T05:46:00-07:00",
-          "2010-03-02T05:47:00-07:00",
-          "2010-03-02T05:48:00-07:00",
-          "2010-03-02T05:49:00-07:00",
-          "2010-03-02T05:50:00-07:00",
-          "2010-03-02T05:51:00-07:00",
-          "2010-03-02T05:52:00-07:00",
-          "2010-03-02T05:53:00-07:00",
-          "2010-03-02T05:54:00-07:00",
-          "2010-03-02T05:55:00-07:00",
-          "2010-03-02T05:56:00-07:00",
-          "2010-03-02T05:57:00-07:00",
-          "2010-03-02T05:58:00-07:00",
-          "2010-03-02T05:59:00-07:00",
-          "2010-03-02T06:00:00-07:00",
-          "2010-03-02T06:01:00-07:00",
-          "2010-03-02T06:02:00-07:00",
-          "2010-03-02T06:03:00-07:00",
-          "2010-03-02T06:04:00-07:00",
-          "2010-03-02T06:05:00-07:00",
-          "2010-03-02T06:06:00-07:00",
-          "2010-03-02T06:07:00-07:00",
-          "2010-03-02T06:08:00-07:00",
-          "2010-03-02T06:09:00-07:00",
-          "2010-03-02T06:10:00-07:00",
-          "2010-03-02T06:11:00-07:00",
-          "2010-03-02T06:12:00-07:00",
-          "2010-03-02T06:13:00-07:00",
-          "2010-03-02T06:14:00-07:00",
-          "2010-03-02T06:15:00-07:00",
-          "2010-03-02T06:16:00-07:00",
-          "2010-03-02T06:17:00-07:00",
-          "2010-03-02T06:18:00-07:00",
-          "2010-03-02T06:19:00-07:00",
-          "2010-03-02T06:20:00-07:00",
-          "2010-03-02T06:21:00-07:00",
-          "2010-03-02T06:22:00-07:00",
-          "2010-03-02T06:23:00-07:00",
-          "2010-03-02T06:24:00-07:00",
-          "2010-03-02T06:25:00-07:00",
-          "2010-03-02T06:26:00-07:00",
-          "2010-03-02T06:27:00-07:00",
-          "2010-03-02T06:28:00-07:00",
-          "2010-03-02T06:29:00-07:00",
-          "2010-03-02T06:30:00-07:00",
-          "2010-03-02T06:31:00-07:00",
-          "2010-03-02T06:32:00-07:00",
-          "2010-03-02T06:33:00-07:00",
-          "2010-03-02T06:34:00-07:00",
-          "2010-03-02T06:35:00-07:00",
-          "2010-03-02T06:36:00-07:00",
-          "2010-03-02T06:37:00-07:00",
-          "2010-03-02T06:38:00-07:00",
-          "2010-03-02T06:39:00-07:00",
-          "2010-03-02T06:40:00-07:00",
-          "2010-03-02T06:41:00-07:00",
-          "2010-03-02T06:42:00-07:00",
-          "2010-03-02T06:43:00-07:00",
-          "2010-03-02T06:44:00-07:00",
-          "2010-03-02T06:45:00-07:00",
-          "2010-03-02T06:46:00-07:00",
-          "2010-03-02T06:47:00-07:00",
-          "2010-03-02T06:48:00-07:00",
-          "2010-03-02T06:49:00-07:00",
-          "2010-03-02T06:50:00-07:00",
-          "2010-03-02T06:51:00-07:00",
-          "2010-03-02T06:52:00-07:00",
-          "2010-03-02T06:53:00-07:00",
-          "2010-03-02T06:54:00-07:00",
-          "2010-03-02T06:55:00-07:00",
-          "2010-03-02T06:56:00-07:00",
-          "2010-03-02T06:57:00-07:00",
-          "2010-03-02T06:58:00-07:00",
-          "2010-03-02T06:59:00-07:00",
-          "2010-03-02T07:00:00-07:00",
-          "2010-03-02T07:01:00-07:00",
-          "2010-03-02T07:02:00-07:00",
-          "2010-03-02T07:03:00-07:00",
-          "2010-03-02T07:04:00-07:00",
-          "2010-03-02T07:05:00-07:00",
-          "2010-03-02T07:06:00-07:00",
-          "2010-03-02T07:07:00-07:00",
-          "2010-03-02T07:08:00-07:00",
-          "2010-03-02T07:09:00-07:00",
-          "2010-03-02T07:10:00-07:00",
-          "2010-03-02T07:11:00-07:00",
-          "2010-03-02T07:12:00-07:00",
-          "2010-03-02T07:13:00-07:00",
-          "2010-03-02T07:14:00-07:00",
-          "2010-03-02T07:15:00-07:00",
-          "2010-03-02T07:16:00-07:00",
-          "2010-03-02T07:17:00-07:00",
-          "2010-03-02T07:18:00-07:00",
-          "2010-03-02T07:19:00-07:00",
-          "2010-03-02T07:20:00-07:00",
-          "2010-03-02T07:21:00-07:00",
-          "2010-03-02T07:22:00-07:00",
-          "2010-03-02T07:23:00-07:00",
-          "2010-03-02T07:24:00-07:00",
-          "2010-03-02T07:25:00-07:00",
-          "2010-03-02T07:26:00-07:00",
-          "2010-03-02T07:27:00-07:00",
-          "2010-03-02T07:28:00-07:00",
-          "2010-03-02T07:29:00-07:00",
-          "2010-03-02T07:30:00-07:00",
-          "2010-03-02T07:31:00-07:00",
-          "2010-03-02T07:32:00-07:00",
-          "2010-03-02T07:33:00-07:00",
-          "2010-03-02T07:34:00-07:00",
-          "2010-03-02T07:35:00-07:00",
-          "2010-03-02T07:36:00-07:00",
-          "2010-03-02T07:37:00-07:00",
-          "2010-03-02T07:38:00-07:00",
-          "2010-03-02T07:39:00-07:00",
-          "2010-03-02T07:40:00-07:00",
-          "2010-03-02T07:41:00-07:00",
-          "2010-03-02T07:42:00-07:00",
-          "2010-03-02T07:43:00-07:00",
-          "2010-03-02T07:44:00-07:00",
-          "2010-03-02T07:45:00-07:00",
-          "2010-03-02T07:46:00-07:00",
-          "2010-03-02T07:47:00-07:00",
-          "2010-03-02T07:48:00-07:00",
-          "2010-03-02T07:49:00-07:00",
-          "2010-03-02T07:50:00-07:00",
-          "2010-03-02T07:51:00-07:00",
-          "2010-03-02T07:52:00-07:00",
-          "2010-03-02T07:53:00-07:00",
-          "2010-03-02T07:54:00-07:00",
-          "2010-03-02T07:55:00-07:00",
-          "2010-03-02T07:56:00-07:00",
-          "2010-03-02T07:57:00-07:00",
-          "2010-03-02T07:58:00-07:00",
-          "2010-03-02T07:59:00-07:00",
-          "2010-03-02T08:00:00-07:00",
-          "2010-03-02T08:01:00-07:00",
-          "2010-03-02T08:02:00-07:00",
-          "2010-03-02T08:03:00-07:00",
-          "2010-03-02T08:04:00-07:00",
-          "2010-03-02T08:05:00-07:00",
-          "2010-03-02T08:06:00-07:00",
-          "2010-03-02T08:07:00-07:00",
-          "2010-03-02T08:08:00-07:00",
-          "2010-03-02T08:09:00-07:00",
-          "2010-03-02T08:10:00-07:00",
-          "2010-03-02T08:11:00-07:00",
-          "2010-03-02T08:12:00-07:00",
-          "2010-03-02T08:13:00-07:00",
-          "2010-03-02T08:14:00-07:00",
-          "2010-03-02T08:15:00-07:00",
-          "2010-03-02T08:16:00-07:00",
-          "2010-03-02T08:17:00-07:00",
-          "2010-03-02T08:18:00-07:00",
-          "2010-03-02T08:19:00-07:00",
-          "2010-03-02T08:20:00-07:00",
-          "2010-03-02T08:21:00-07:00",
-          "2010-03-02T08:22:00-07:00",
-          "2010-03-02T08:23:00-07:00",
-          "2010-03-02T08:24:00-07:00",
-          "2010-03-02T08:25:00-07:00",
-          "2010-03-02T08:26:00-07:00",
-          "2010-03-02T08:27:00-07:00",
-          "2010-03-02T08:28:00-07:00",
-          "2010-03-02T08:29:00-07:00",
-          "2010-03-02T08:30:00-07:00",
-          "2010-03-02T08:31:00-07:00",
-          "2010-03-02T08:32:00-07:00",
-          "2010-03-02T08:33:00-07:00",
-          "2010-03-02T08:34:00-07:00",
-          "2010-03-02T08:35:00-07:00",
-          "2010-03-02T08:36:00-07:00",
-          "2010-03-02T08:37:00-07:00",
-          "2010-03-02T08:38:00-07:00",
-          "2010-03-02T08:39:00-07:00",
-          "2010-03-02T08:40:00-07:00",
-          "2010-03-02T08:41:00-07:00",
-          "2010-03-02T08:42:00-07:00",
-          "2010-03-02T08:43:00-07:00",
-          "2010-03-02T08:44:00-07:00",
-          "2010-03-02T08:45:00-07:00",
-          "2010-03-02T08:46:00-07:00",
-          "2010-03-02T08:47:00-07:00",
-          "2010-03-02T08:48:00-07:00",
-          "2010-03-02T08:49:00-07:00",
-          "2010-03-02T08:50:00-07:00",
-          "2010-03-02T08:51:00-07:00",
-          "2010-03-02T08:52:00-07:00",
-          "2010-03-02T08:53:00-07:00",
-          "2010-03-02T08:54:00-07:00",
-          "2010-03-02T08:55:00-07:00",
-          "2010-03-02T08:56:00-07:00",
-          "2010-03-02T08:57:00-07:00",
-          "2010-03-02T08:58:00-07:00",
-          "2010-03-02T08:59:00-07:00",
-          "2010-03-02T09:00:00-07:00",
-          "2010-03-02T09:01:00-07:00",
-          "2010-03-02T09:02:00-07:00",
-          "2010-03-02T09:03:00-07:00",
-          "2010-03-02T09:04:00-07:00",
-          "2010-03-02T09:05:00-07:00",
-          "2010-03-02T09:06:00-07:00",
-          "2010-03-02T09:07:00-07:00",
-          "2010-03-02T09:08:00-07:00",
-          "2010-03-02T09:09:00-07:00",
-          "2010-03-02T09:10:00-07:00",
-          "2010-03-02T09:11:00-07:00",
-          "2010-03-02T09:12:00-07:00",
-          "2010-03-02T09:13:00-07:00",
-          "2010-03-02T09:14:00-07:00",
-          "2010-03-02T09:15:00-07:00",
-          "2010-03-02T09:16:00-07:00",
-          "2010-03-02T09:17:00-07:00",
-          "2010-03-02T09:18:00-07:00",
-          "2010-03-02T09:19:00-07:00",
-          "2010-03-02T09:20:00-07:00",
-          "2010-03-02T09:21:00-07:00",
-          "2010-03-02T09:22:00-07:00",
-          "2010-03-02T09:23:00-07:00",
-          "2010-03-02T09:24:00-07:00",
-          "2010-03-02T09:25:00-07:00",
-          "2010-03-02T09:26:00-07:00",
-          "2010-03-02T09:27:00-07:00",
-          "2010-03-02T09:28:00-07:00",
-          "2010-03-02T09:29:00-07:00",
-          "2010-03-02T09:30:00-07:00",
-          "2010-03-02T09:31:00-07:00",
-          "2010-03-02T09:32:00-07:00",
-          "2010-03-02T09:33:00-07:00",
-          "2010-03-02T09:34:00-07:00",
-          "2010-03-02T09:35:00-07:00",
-          "2010-03-02T09:36:00-07:00",
-          "2010-03-02T09:37:00-07:00",
-          "2010-03-02T09:38:00-07:00",
-          "2010-03-02T09:39:00-07:00",
-          "2010-03-02T09:40:00-07:00",
-          "2010-03-02T09:41:00-07:00",
-          "2010-03-02T09:42:00-07:00",
-          "2010-03-02T09:43:00-07:00",
-          "2010-03-02T09:44:00-07:00",
-          "2010-03-02T09:45:00-07:00",
-          "2010-03-02T09:46:00-07:00",
-          "2010-03-02T09:47:00-07:00",
-          "2010-03-02T09:48:00-07:00",
-          "2010-03-02T09:49:00-07:00",
-          "2010-03-02T09:50:00-07:00",
-          "2010-03-02T09:51:00-07:00",
-          "2010-03-02T09:52:00-07:00",
-          "2010-03-02T09:53:00-07:00",
-          "2010-03-02T09:54:00-07:00",
-          "2010-03-02T09:55:00-07:00",
-          "2010-03-02T09:56:00-07:00",
-          "2010-03-02T09:57:00-07:00",
-          "2010-03-02T09:58:00-07:00",
-          "2010-03-02T09:59:00-07:00",
-          "2010-03-02T10:00:00-07:00",
-          "2010-03-02T10:01:00-07:00",
-          "2010-03-02T10:02:00-07:00",
-          "2010-03-02T10:04:00-07:00",
-          "2010-03-02T10:05:00-07:00",
-          "2010-03-02T10:07:00-07:00",
-          "2010-03-02T10:08:00-07:00",
-          "2010-03-02T10:09:00-07:00",
-          "2010-03-02T10:10:00-07:00",
-          "2010-03-02T10:11:00-07:00",
-          "2010-03-02T10:12:00-07:00",
-          "2010-03-02T10:13:00-07:00",
-          "2010-03-02T10:17:00-07:00",
-          "2010-03-02T10:18:00-07:00",
-          "2010-03-02T10:19:00-07:00",
-          "2010-03-02T10:20:00-07:00",
-          "2010-03-02T10:21:00-07:00",
-          "2010-03-02T10:22:00-07:00",
-          "2010-03-02T10:23:00-07:00",
-          "2010-03-02T10:24:00-07:00",
-          "2010-03-02T10:25:00-07:00",
-          "2010-03-02T10:29:00-07:00",
-          "2010-03-02T10:30:00-07:00",
-          "2010-03-02T10:32:00-07:00",
-          "2010-03-02T10:33:00-07:00",
-          "2010-03-02T10:34:00-07:00",
-          "2010-03-02T10:36:00-07:00",
-          "2010-03-02T10:37:00-07:00",
-          "2010-03-02T10:41:00-07:00",
-          "2010-03-02T10:42:00-07:00",
-          "2010-03-02T10:43:00-07:00",
-          "2010-03-02T10:45:00-07:00",
-          "2010-03-02T10:46:00-07:00",
-          "2010-03-02T10:48:00-07:00",
-          "2010-03-02T10:49:00-07:00",
-          "2010-03-02T10:52:00-07:00",
-          "2010-03-02T10:53:00-07:00",
-          "2010-03-02T10:55:00-07:00",
-          "2010-03-02T10:56:00-07:00",
-          "2010-03-02T10:57:00-07:00",
-          "2010-03-02T10:58:00-07:00",
-          "2010-03-02T10:59:00-07:00",
-          "2010-03-02T11:00:00-07:00",
-          "2010-03-02T11:01:00-07:00",
-          "2010-03-02T11:04:00-07:00",
-          "2010-03-02T11:05:00-07:00",
-          "2010-03-02T11:07:00-07:00",
-          "2010-03-02T11:08:00-07:00",
-          "2010-03-02T11:11:00-07:00",
-          "2010-03-02T11:12:00-07:00",
-          "2010-03-02T11:14:00-07:00",
-          "2010-03-02T11:15:00-07:00",
-          "2010-03-02T11:16:00-07:00",
-          "2010-03-02T11:21:00-07:00",
-          "2010-03-02T11:23:00-07:00",
-          "2010-03-02T11:24:00-07:00",
-          "2010-03-02T11:28:00-07:00",
-          "2010-03-02T11:30:00-07:00",
-          "2010-03-02T11:32:00-07:00",
-          "2010-03-02T11:36:00-07:00",
-          "2010-03-02T11:40:00-07:00",
-          "2010-03-02T11:41:00-07:00",
-          "2010-03-02T11:45:00-07:00",
-          "2010-03-02T11:47:00-07:00",
-          "2010-03-02T11:48:00-07:00",
-          "2010-03-02T11:55:00-07:00",
-          "2010-03-02T11:56:00-07:00",
-          "2010-03-02T11:57:00-07:00",
-          "2010-03-02T12:05:00-07:00",
-          "2010-03-02T12:06:00-07:00",
-          "2010-03-02T12:07:00-07:00",
-          "2010-03-02T12:09:00-07:00",
-          "2010-03-02T12:10:00-07:00",
-          "2010-03-02T12:15:00-07:00",
-          "2010-03-02T12:17:00-07:00",
-          "2010-03-02T12:19:00-07:00",
-          "2010-03-02T12:20:00-07:00",
-          "2010-03-02T12:21:00-07:00",
-          "2010-03-02T12:24:00-07:00",
-          "2010-03-02T12:25:00-07:00",
-          "2010-03-02T12:26:00-07:00",
-          "2010-03-02T12:27:00-07:00",
-          "2010-03-02T12:28:00-07:00",
-          "2010-03-02T12:29:00-07:00",
-          "2010-03-02T12:30:00-07:00",
-          "2010-03-02T12:31:00-07:00",
-          "2010-03-02T12:33:00-07:00",
-          "2010-03-02T12:34:00-07:00",
-          "2010-03-02T12:35:00-07:00",
-          "2010-03-02T12:36:00-07:00",
-          "2010-03-02T12:37:00-07:00",
-          "2010-03-02T12:38:00-07:00",
-          "2010-03-02T12:39:00-07:00",
-          "2010-03-02T12:40:00-07:00",
-          "2010-03-02T12:41:00-07:00",
-          "2010-03-02T12:42:00-07:00",
-          "2010-03-02T12:44:00-07:00",
-          "2010-03-02T12:45:00-07:00",
-          "2010-03-02T12:47:00-07:00",
-          "2010-03-02T12:51:00-07:00",
-          "2010-03-02T12:53:00-07:00",
-          "2010-03-02T12:54:00-07:00",
-          "2010-03-02T12:55:00-07:00",
-          "2010-03-02T12:59:00-07:00",
-          "2010-03-02T13:00:00-07:00",
-          "2010-03-02T13:03:00-07:00",
-          "2010-03-02T13:04:00-07:00",
-          "2010-03-02T13:07:00-07:00",
-          "2010-03-02T13:12:00-07:00",
-          "2010-03-02T13:13:00-07:00",
-          "2010-03-02T13:14:00-07:00",
-          "2010-03-02T13:16:00-07:00",
-          "2010-03-02T13:19:00-07:00",
-          "2010-03-02T13:20:00-07:00",
-          "2010-03-02T13:23:00-07:00",
-          "2010-03-02T13:24:00-07:00",
-          "2010-03-02T13:26:00-07:00",
-          "2010-03-02T13:27:00-07:00",
-          "2010-03-02T13:30:00-07:00",
-          "2010-03-02T13:34:00-07:00",
-          "2010-03-02T13:36:00-07:00",
-          "2010-03-02T13:37:00-07:00",
-          "2010-03-02T13:38:00-07:00",
-          "2010-03-02T13:39:00-07:00",
-          "2010-03-02T13:40:00-07:00",
-          "2010-03-02T13:42:00-07:00",
-          "2010-03-02T13:43:00-07:00",
-          "2010-03-02T13:46:00-07:00",
-          "2010-03-02T13:47:00-07:00",
-          "2010-03-02T13:50:00-07:00",
-          "2010-03-02T13:52:00-07:00",
-          "2010-03-02T13:54:00-07:00",
-          "2010-03-02T13:55:00-07:00",
-          "2010-03-02T13:56:00-07:00",
-          "2010-03-02T13:58:00-07:00",
-          "2010-03-02T13:59:00-07:00",
-          "2010-03-02T14:00:00-07:00",
-          "2010-03-02T14:03:00-07:00",
-          "2010-03-02T14:05:00-07:00",
-          "2010-03-02T14:06:00-07:00",
-          "2010-03-02T14:08:00-07:00",
-          "2010-03-02T14:09:00-07:00",
-          "2010-03-02T14:10:00-07:00",
-          "2010-03-02T14:11:00-07:00",
-          "2010-03-02T14:12:00-07:00",
-          "2010-03-02T14:13:00-07:00",
-          "2010-03-02T14:14:00-07:00",
-          "2010-03-02T14:15:00-07:00",
-          "2010-03-02T14:16:00-07:00",
-          "2010-03-02T14:17:00-07:00",
-          "2010-03-02T14:18:00-07:00",
-          "2010-03-02T14:19:00-07:00",
-          "2010-03-02T14:20:00-07:00",
-          "2010-03-02T14:21:00-07:00",
-          "2010-03-02T14:22:00-07:00",
-          "2010-03-02T14:23:00-07:00",
-          "2010-03-02T14:24:00-07:00",
-          "2010-03-02T14:25:00-07:00",
-          "2010-03-02T14:26:00-07:00",
-          "2010-03-02T14:27:00-07:00",
-          "2010-03-02T14:28:00-07:00",
-          "2010-03-02T14:29:00-07:00",
-          "2010-03-02T14:30:00-07:00",
-          "2010-03-02T14:31:00-07:00",
-          "2010-03-02T14:32:00-07:00",
-          "2010-03-02T14:33:00-07:00",
-          "2010-03-02T14:34:00-07:00",
-          "2010-03-02T14:35:00-07:00",
-          "2010-03-02T14:36:00-07:00",
-          "2010-03-02T14:37:00-07:00",
-          "2010-03-02T14:38:00-07:00",
-          "2010-03-02T14:39:00-07:00",
-          "2010-03-02T14:40:00-07:00",
-          "2010-03-02T14:41:00-07:00",
-          "2010-03-02T14:42:00-07:00",
-          "2010-03-02T14:43:00-07:00",
-          "2010-03-02T14:44:00-07:00",
-          "2010-03-02T14:45:00-07:00",
-          "2010-03-02T14:46:00-07:00",
-          "2010-03-02T14:47:00-07:00",
-          "2010-03-02T14:48:00-07:00",
-          "2010-03-02T14:49:00-07:00",
-          "2010-03-02T14:50:00-07:00",
-          "2010-03-02T14:51:00-07:00",
-          "2010-03-02T14:52:00-07:00",
-          "2010-03-02T14:53:00-07:00",
-          "2010-03-02T14:54:00-07:00",
-          "2010-03-02T14:55:00-07:00",
-          "2010-03-02T14:56:00-07:00",
-          "2010-03-02T14:57:00-07:00",
-          "2010-03-02T14:58:00-07:00",
-          "2010-03-02T14:59:00-07:00",
-          "2010-03-02T15:00:00-07:00",
-          "2010-03-02T15:01:00-07:00",
-          "2010-03-02T15:02:00-07:00",
-          "2010-03-02T15:03:00-07:00",
-          "2010-03-02T15:04:00-07:00",
-          "2010-03-02T15:05:00-07:00",
-          "2010-03-02T15:06:00-07:00",
-          "2010-03-02T15:07:00-07:00",
-          "2010-03-02T15:08:00-07:00",
-          "2010-03-02T15:09:00-07:00",
-          "2010-03-02T15:10:00-07:00",
-          "2010-03-02T15:11:00-07:00",
-          "2010-03-02T15:12:00-07:00",
-          "2010-03-02T15:13:00-07:00",
-          "2010-03-02T15:14:00-07:00",
-          "2010-03-02T15:15:00-07:00",
-          "2010-03-02T15:16:00-07:00",
-          "2010-03-02T15:17:00-07:00",
-          "2010-03-02T15:18:00-07:00",
-          "2010-03-02T15:19:00-07:00",
-          "2010-03-02T15:20:00-07:00",
-          "2010-03-02T15:21:00-07:00",
-          "2010-03-02T15:22:00-07:00",
-          "2010-03-02T15:23:00-07:00",
-          "2010-03-02T15:24:00-07:00",
-          "2010-03-02T15:25:00-07:00",
-          "2010-03-02T15:26:00-07:00",
-          "2010-03-02T15:27:00-07:00",
-          "2010-03-02T15:28:00-07:00",
-          "2010-03-02T15:29:00-07:00",
-          "2010-03-02T15:30:00-07:00",
-          "2010-03-02T15:31:00-07:00",
-          "2010-03-02T15:32:00-07:00",
-          "2010-03-02T15:33:00-07:00",
-          "2010-03-02T15:34:00-07:00",
-          "2010-03-02T15:35:00-07:00",
-          "2010-03-02T15:36:00-07:00",
-          "2010-03-02T15:37:00-07:00",
-          "2010-03-02T15:38:00-07:00",
-          "2010-03-02T15:39:00-07:00",
-          "2010-03-02T15:40:00-07:00",
-          "2010-03-02T15:41:00-07:00",
-          "2010-03-02T15:42:00-07:00",
-          "2010-03-02T15:43:00-07:00",
-          "2010-03-02T15:44:00-07:00",
-          "2010-03-02T15:45:00-07:00",
-          "2010-03-02T15:46:00-07:00",
-          "2010-03-02T15:47:00-07:00",
-          "2010-03-02T15:48:00-07:00",
-          "2010-03-02T15:49:00-07:00",
-          "2010-03-02T15:50:00-07:00",
-          "2010-03-02T15:51:00-07:00",
-          "2010-03-02T15:52:00-07:00",
-          "2010-03-02T15:53:00-07:00",
-          "2010-03-02T15:54:00-07:00",
-          "2010-03-02T15:55:00-07:00",
-          "2010-03-02T15:56:00-07:00",
-          "2010-03-02T15:57:00-07:00",
-          "2010-03-02T15:58:00-07:00",
-          "2010-03-02T15:59:00-07:00",
-          "2010-03-02T16:00:00-07:00",
-          "2010-03-02T16:01:00-07:00",
-          "2010-03-02T16:02:00-07:00",
-          "2010-03-02T16:03:00-07:00",
-          "2010-03-02T16:04:00-07:00",
-          "2010-03-02T16:05:00-07:00",
-          "2010-03-02T16:06:00-07:00",
-          "2010-03-02T16:07:00-07:00",
-          "2010-03-02T16:08:00-07:00",
-          "2010-03-02T16:09:00-07:00",
-          "2010-03-02T16:10:00-07:00",
-          "2010-03-02T16:11:00-07:00",
-          "2010-03-02T16:12:00-07:00",
-          "2010-03-02T16:13:00-07:00",
-          "2010-03-02T16:14:00-07:00",
-          "2010-03-02T16:15:00-07:00",
-          "2010-03-02T16:16:00-07:00",
-          "2010-03-02T16:17:00-07:00",
-          "2010-03-02T16:18:00-07:00",
-          "2010-03-02T16:19:00-07:00",
-          "2010-03-02T16:20:00-07:00",
-          "2010-03-02T16:21:00-07:00",
-          "2010-03-02T16:22:00-07:00",
-          "2010-03-02T16:23:00-07:00",
-          "2010-03-02T16:24:00-07:00",
-          "2010-03-02T16:25:00-07:00",
-          "2010-03-02T16:26:00-07:00",
-          "2010-03-02T16:27:00-07:00",
-          "2010-03-02T16:28:00-07:00",
-          "2010-03-02T16:29:00-07:00",
-          "2010-03-02T16:30:00-07:00",
-          "2010-03-02T16:31:00-07:00",
-          "2010-03-02T16:32:00-07:00",
-          "2010-03-02T16:33:00-07:00",
-          "2010-03-02T16:34:00-07:00",
-          "2010-03-02T16:35:00-07:00",
-          "2010-03-02T16:36:00-07:00",
-          "2010-03-02T16:37:00-07:00",
-          "2010-03-02T16:38:00-07:00",
-          "2010-03-02T16:39:00-07:00",
-          "2010-03-02T16:40:00-07:00",
-          "2010-03-02T16:41:00-07:00",
-          "2010-03-02T16:42:00-07:00",
-          "2010-03-02T16:43:00-07:00",
-          "2010-03-02T16:44:00-07:00",
-          "2010-03-02T16:45:00-07:00",
-          "2010-03-02T16:46:00-07:00",
-          "2010-03-02T16:47:00-07:00",
-          "2010-03-02T16:48:00-07:00",
-          "2010-03-02T16:49:00-07:00",
-          "2010-03-02T16:50:00-07:00",
-          "2010-03-02T16:51:00-07:00",
-          "2010-03-02T16:52:00-07:00",
-          "2010-03-02T16:53:00-07:00",
-          "2010-03-02T16:54:00-07:00",
-          "2010-03-02T16:55:00-07:00",
-          "2010-03-02T16:56:00-07:00",
-          "2010-03-02T16:57:00-07:00",
-          "2010-03-02T16:58:00-07:00",
-          "2010-03-02T16:59:00-07:00",
-          "2010-03-02T17:00:00-07:00",
-          "2010-03-02T17:01:00-07:00",
-          "2010-03-02T17:02:00-07:00",
-          "2010-03-02T17:03:00-07:00",
-          "2010-03-02T17:04:00-07:00",
-          "2010-03-02T17:05:00-07:00",
-          "2010-03-02T17:06:00-07:00",
-          "2010-03-02T17:07:00-07:00",
-          "2010-03-02T17:08:00-07:00",
-          "2010-03-02T17:09:00-07:00",
-          "2010-03-02T17:10:00-07:00",
-          "2010-03-02T17:11:00-07:00",
-          "2010-03-02T17:12:00-07:00",
-          "2010-03-02T17:13:00-07:00",
-          "2010-03-02T17:14:00-07:00",
-          "2010-03-02T17:15:00-07:00",
-          "2010-03-02T17:16:00-07:00",
-          "2010-03-02T17:17:00-07:00",
-          "2010-03-02T17:18:00-07:00",
-          "2010-03-02T17:19:00-07:00",
-          "2010-03-02T17:20:00-07:00",
-          "2010-03-02T17:21:00-07:00",
-          "2010-03-02T17:22:00-07:00",
-          "2010-03-02T17:23:00-07:00",
-          "2010-03-02T17:24:00-07:00",
-          "2010-03-02T17:25:00-07:00",
-          "2010-03-02T17:26:00-07:00",
-          "2010-03-02T17:27:00-07:00",
-          "2010-03-02T17:28:00-07:00",
-          "2010-03-02T17:29:00-07:00",
-          "2010-03-02T17:30:00-07:00",
-          "2010-03-02T17:31:00-07:00",
-          "2010-03-02T17:32:00-07:00",
-          "2010-03-02T17:33:00-07:00",
-          "2010-03-02T17:34:00-07:00",
-          "2010-03-02T17:35:00-07:00",
-          "2010-03-02T17:36:00-07:00",
-          "2010-03-02T17:37:00-07:00",
-          "2010-03-02T17:38:00-07:00",
-          "2010-03-02T17:39:00-07:00",
-          "2010-03-02T17:40:00-07:00",
-          "2010-03-02T17:41:00-07:00",
-          "2010-03-02T17:42:00-07:00",
-          "2010-03-02T17:43:00-07:00",
-          "2010-03-02T17:44:00-07:00",
-          "2010-03-02T17:45:00-07:00",
-          "2010-03-02T17:46:00-07:00",
-          "2010-03-02T17:47:00-07:00",
-          "2010-03-02T17:48:00-07:00",
-          "2010-03-02T17:49:00-07:00",
-          "2010-03-02T17:50:00-07:00",
-          "2010-03-02T17:51:00-07:00",
-          "2010-03-02T17:52:00-07:00",
-          "2010-03-02T17:53:00-07:00",
-          "2010-03-02T17:54:00-07:00",
-          "2010-03-02T17:55:00-07:00",
-          "2010-03-02T17:56:00-07:00",
-          "2010-03-02T17:57:00-07:00",
-          "2010-03-02T17:58:00-07:00",
-          "2010-03-02T17:59:00-07:00",
-          "2010-03-02T18:00:00-07:00",
-          "2010-03-02T18:01:00-07:00",
-          "2010-03-02T18:02:00-07:00",
-          "2010-03-02T18:03:00-07:00",
-          "2010-03-02T18:04:00-07:00",
-          "2010-03-02T18:05:00-07:00",
-          "2010-03-02T18:06:00-07:00",
-          "2010-03-02T18:07:00-07:00",
-          "2010-03-02T18:08:00-07:00",
-          "2010-03-02T18:09:00-07:00",
-          "2010-03-02T18:10:00-07:00",
-          "2010-03-02T18:11:00-07:00",
-          "2010-03-02T18:12:00-07:00",
-          "2010-03-02T18:13:00-07:00",
-          "2010-03-02T18:14:00-07:00",
-          "2010-03-02T18:15:00-07:00",
-          "2010-03-02T18:16:00-07:00",
-          "2010-03-02T18:17:00-07:00",
-          "2010-03-02T18:18:00-07:00",
-          "2010-03-02T18:19:00-07:00",
-          "2010-03-02T18:20:00-07:00",
-          "2010-03-02T18:21:00-07:00",
-          "2010-03-02T18:22:00-07:00",
-          "2010-03-02T18:23:00-07:00",
-          "2010-03-02T18:24:00-07:00",
-          "2010-03-02T18:25:00-07:00",
-          "2010-03-02T18:26:00-07:00",
-          "2010-03-02T18:27:00-07:00",
-          "2010-03-02T18:28:00-07:00",
-          "2010-03-02T18:29:00-07:00",
-          "2010-03-02T18:30:00-07:00",
-          "2010-03-02T18:31:00-07:00",
-          "2010-03-02T18:32:00-07:00",
-          "2010-03-02T18:33:00-07:00",
-          "2010-03-02T18:34:00-07:00",
-          "2010-03-02T18:35:00-07:00",
-          "2010-03-02T18:36:00-07:00",
-          "2010-03-02T18:37:00-07:00",
-          "2010-03-02T18:38:00-07:00",
-          "2010-03-02T18:39:00-07:00",
-          "2010-03-02T18:40:00-07:00",
-          "2010-03-02T18:41:00-07:00",
-          "2010-03-02T18:42:00-07:00",
-          "2010-03-02T18:43:00-07:00",
-          "2010-03-02T18:44:00-07:00",
-          "2010-03-02T18:45:00-07:00",
-          "2010-03-02T18:46:00-07:00",
-          "2010-03-02T18:47:00-07:00",
-          "2010-03-02T18:48:00-07:00",
-          "2010-03-02T18:49:00-07:00",
-          "2010-03-02T18:50:00-07:00",
-          "2010-03-02T18:51:00-07:00",
-          "2010-03-02T18:52:00-07:00",
-          "2010-03-02T18:53:00-07:00",
-          "2010-03-02T18:54:00-07:00",
-          "2010-03-02T18:55:00-07:00",
-          "2010-03-02T18:56:00-07:00",
-          "2010-03-02T18:57:00-07:00",
-          "2010-03-02T18:58:00-07:00",
-          "2010-03-02T18:59:00-07:00",
-          "2010-03-02T19:00:00-07:00",
-          "2010-03-02T19:01:00-07:00",
-          "2010-03-02T19:02:00-07:00",
-          "2010-03-02T19:03:00-07:00",
-          "2010-03-02T19:04:00-07:00",
-          "2010-03-02T19:05:00-07:00",
-          "2010-03-02T19:06:00-07:00",
-          "2010-03-02T19:07:00-07:00",
-          "2010-03-02T19:08:00-07:00",
-          "2010-03-02T19:09:00-07:00",
-          "2010-03-02T19:10:00-07:00",
-          "2010-03-02T19:11:00-07:00",
-          "2010-03-02T19:12:00-07:00",
-          "2010-03-02T19:13:00-07:00",
-          "2010-03-02T19:14:00-07:00",
-          "2010-03-02T19:15:00-07:00",
-          "2010-03-02T19:16:00-07:00",
-          "2010-03-02T19:17:00-07:00",
-          "2010-03-02T19:18:00-07:00",
-          "2010-03-02T19:19:00-07:00",
-          "2010-03-02T19:20:00-07:00",
-          "2010-03-02T19:21:00-07:00",
-          "2010-03-02T19:22:00-07:00",
-          "2010-03-02T19:23:00-07:00",
-          "2010-03-02T19:24:00-07:00",
-          "2010-03-02T19:25:00-07:00",
-          "2010-03-02T19:26:00-07:00",
-          "2010-03-02T19:27:00-07:00",
-          "2010-03-02T19:28:00-07:00",
-          "2010-03-02T19:29:00-07:00",
-          "2010-03-02T19:30:00-07:00",
-          "2010-03-02T19:31:00-07:00",
-          "2010-03-02T19:32:00-07:00",
-          "2010-03-02T19:33:00-07:00",
-          "2010-03-02T19:34:00-07:00",
-          "2010-03-02T19:35:00-07:00",
-          "2010-03-02T19:36:00-07:00",
-          "2010-03-02T19:37:00-07:00",
-          "2010-03-02T19:38:00-07:00",
-          "2010-03-02T19:39:00-07:00",
-          "2010-03-02T19:40:00-07:00",
-          "2010-03-02T19:41:00-07:00",
-          "2010-03-02T19:42:00-07:00",
-          "2010-03-02T19:43:00-07:00",
-          "2010-03-02T19:44:00-07:00",
-          "2010-03-02T19:45:00-07:00",
-          "2010-03-02T19:46:00-07:00",
-          "2010-03-02T19:47:00-07:00",
-          "2010-03-02T19:48:00-07:00",
-          "2010-03-02T19:49:00-07:00",
-          "2010-03-02T19:50:00-07:00",
-          "2010-03-02T19:51:00-07:00",
-          "2010-03-02T19:52:00-07:00",
-          "2010-03-02T19:53:00-07:00",
-          "2010-03-02T19:54:00-07:00",
-          "2010-03-02T19:55:00-07:00",
-          "2010-03-02T19:56:00-07:00",
-          "2010-03-02T19:57:00-07:00",
-          "2010-03-02T19:58:00-07:00",
-          "2010-03-02T19:59:00-07:00",
-          "2010-03-02T20:00:00-07:00",
-          "2010-03-02T20:01:00-07:00",
-          "2010-03-02T20:02:00-07:00",
-          "2010-03-02T20:03:00-07:00",
-          "2010-03-02T20:04:00-07:00",
-          "2010-03-02T20:05:00-07:00",
-          "2010-03-02T20:06:00-07:00",
-          "2010-03-02T20:07:00-07:00",
-          "2010-03-02T20:08:00-07:00",
-          "2010-03-02T20:09:00-07:00",
-          "2010-03-02T20:10:00-07:00",
-          "2010-03-02T20:11:00-07:00",
-          "2010-03-02T20:12:00-07:00",
-          "2010-03-02T20:13:00-07:00",
-          "2010-03-02T20:14:00-07:00",
-          "2010-03-02T20:15:00-07:00",
-          "2010-03-02T20:16:00-07:00",
-          "2010-03-02T20:17:00-07:00",
-          "2010-03-02T20:18:00-07:00",
-          "2010-03-02T20:19:00-07:00",
-          "2010-03-02T20:20:00-07:00",
-          "2010-03-02T20:21:00-07:00",
-          "2010-03-02T20:22:00-07:00",
-          "2010-03-02T20:23:00-07:00",
-          "2010-03-02T20:24:00-07:00",
-          "2010-03-02T20:25:00-07:00",
-          "2010-03-02T20:26:00-07:00",
-          "2010-03-02T20:27:00-07:00",
-          "2010-03-02T20:28:00-07:00",
-          "2010-03-02T20:29:00-07:00",
-          "2010-03-02T20:30:00-07:00",
-          "2010-03-02T20:31:00-07:00",
-          "2010-03-02T20:32:00-07:00",
-          "2010-03-02T20:33:00-07:00",
-          "2010-03-02T20:34:00-07:00",
-          "2010-03-02T20:35:00-07:00",
-          "2010-03-02T20:36:00-07:00",
-          "2010-03-02T20:37:00-07:00",
-          "2010-03-02T20:38:00-07:00",
-          "2010-03-02T20:39:00-07:00",
-          "2010-03-02T20:40:00-07:00",
-          "2010-03-02T20:41:00-07:00",
-          "2010-03-02T20:42:00-07:00",
-          "2010-03-02T20:43:00-07:00",
-          "2010-03-02T20:44:00-07:00",
-          "2010-03-02T20:45:00-07:00",
-          "2010-03-02T20:46:00-07:00",
-          "2010-03-02T20:47:00-07:00",
-          "2010-03-02T20:48:00-07:00",
-          "2010-03-02T20:49:00-07:00",
-          "2010-03-02T20:50:00-07:00",
-          "2010-03-02T20:51:00-07:00",
-          "2010-03-02T20:52:00-07:00",
-          "2010-03-02T20:53:00-07:00",
-          "2010-03-02T20:54:00-07:00",
-          "2010-03-02T20:55:00-07:00",
-          "2010-03-02T20:56:00-07:00",
-          "2010-03-02T20:57:00-07:00",
-          "2010-03-02T20:58:00-07:00",
-          "2010-03-02T20:59:00-07:00",
-          "2010-03-02T21:00:00-07:00",
-          "2010-03-02T21:01:00-07:00",
-          "2010-03-02T21:02:00-07:00",
-          "2010-03-02T21:03:00-07:00",
-          "2010-03-02T21:04:00-07:00",
-          "2010-03-02T21:05:00-07:00",
-          "2010-03-02T21:06:00-07:00",
-          "2010-03-02T21:07:00-07:00",
-          "2010-03-02T21:08:00-07:00",
-          "2010-03-02T21:09:00-07:00",
-          "2010-03-02T21:10:00-07:00",
-          "2010-03-02T21:11:00-07:00",
-          "2010-03-02T21:12:00-07:00",
-          "2010-03-02T21:13:00-07:00",
-          "2010-03-02T21:14:00-07:00",
-          "2010-03-02T21:15:00-07:00",
-          "2010-03-02T21:16:00-07:00",
-          "2010-03-02T21:17:00-07:00",
-          "2010-03-02T21:18:00-07:00",
-          "2010-03-02T21:19:00-07:00",
-          "2010-03-02T21:20:00-07:00",
-          "2010-03-02T21:21:00-07:00",
-          "2010-03-02T21:22:00-07:00",
-          "2010-03-02T21:23:00-07:00",
-          "2010-03-02T21:24:00-07:00",
-          "2010-03-02T21:25:00-07:00",
-          "2010-03-02T21:26:00-07:00",
-          "2010-03-02T21:27:00-07:00",
-          "2010-03-02T21:28:00-07:00",
-          "2010-03-02T21:29:00-07:00",
-          "2010-03-02T21:30:00-07:00",
-          "2010-03-02T21:31:00-07:00",
-          "2010-03-02T21:32:00-07:00",
-          "2010-03-02T21:33:00-07:00",
-          "2010-03-02T21:34:00-07:00",
-          "2010-03-02T21:35:00-07:00",
-          "2010-03-02T21:36:00-07:00",
-          "2010-03-02T21:37:00-07:00",
-          "2010-03-02T21:38:00-07:00",
-          "2010-03-02T21:39:00-07:00",
-          "2010-03-02T21:40:00-07:00",
-          "2010-03-02T21:41:00-07:00",
-          "2010-03-02T21:42:00-07:00",
-          "2010-03-02T21:43:00-07:00",
-          "2010-03-02T21:44:00-07:00",
-          "2010-03-02T21:45:00-07:00",
-          "2010-03-02T21:46:00-07:00",
-          "2010-03-02T21:47:00-07:00",
-          "2010-03-02T21:48:00-07:00",
-          "2010-03-02T21:49:00-07:00",
-          "2010-03-02T21:50:00-07:00",
-          "2010-03-02T21:51:00-07:00",
-          "2010-03-02T21:52:00-07:00",
-          "2010-03-02T21:53:00-07:00",
-          "2010-03-02T21:54:00-07:00",
-          "2010-03-02T21:55:00-07:00",
-          "2010-03-02T21:56:00-07:00",
-          "2010-03-02T21:57:00-07:00",
-          "2010-03-02T21:58:00-07:00",
-          "2010-03-02T21:59:00-07:00",
-          "2010-03-02T22:00:00-07:00",
-          "2010-03-02T22:01:00-07:00",
-          "2010-03-02T22:02:00-07:00",
-          "2010-03-02T22:03:00-07:00",
-          "2010-03-02T22:04:00-07:00",
-          "2010-03-02T22:05:00-07:00",
-          "2010-03-02T22:06:00-07:00",
-          "2010-03-02T22:07:00-07:00",
-          "2010-03-02T22:08:00-07:00",
-          "2010-03-02T22:09:00-07:00",
-          "2010-03-02T22:10:00-07:00",
-          "2010-03-02T22:11:00-07:00",
-          "2010-03-02T22:12:00-07:00",
-          "2010-03-02T22:13:00-07:00",
-          "2010-03-02T22:14:00-07:00",
-          "2010-03-02T22:15:00-07:00",
-          "2010-03-02T22:16:00-07:00",
-          "2010-03-02T22:17:00-07:00",
-          "2010-03-02T22:18:00-07:00",
-          "2010-03-02T22:19:00-07:00",
-          "2010-03-02T22:20:00-07:00",
-          "2010-03-02T22:21:00-07:00",
-          "2010-03-02T22:22:00-07:00",
-          "2010-03-02T22:23:00-07:00",
-          "2010-03-02T22:24:00-07:00",
-          "2010-03-02T22:25:00-07:00",
-          "2010-03-02T22:26:00-07:00",
-          "2010-03-02T22:27:00-07:00",
-          "2010-03-02T22:28:00-07:00",
-          "2010-03-02T22:29:00-07:00",
-          "2010-03-02T22:30:00-07:00",
-          "2010-03-02T22:31:00-07:00",
-          "2010-03-02T22:32:00-07:00",
-          "2010-03-02T22:33:00-07:00",
-          "2010-03-02T22:34:00-07:00",
-          "2010-03-02T22:35:00-07:00",
-          "2010-03-02T22:36:00-07:00",
-          "2010-03-02T22:37:00-07:00",
-          "2010-03-02T22:38:00-07:00",
-          "2010-03-02T22:39:00-07:00",
-          "2010-03-02T22:40:00-07:00",
-          "2010-03-02T22:41:00-07:00",
-          "2010-03-02T22:42:00-07:00",
-          "2010-03-02T22:43:00-07:00",
-          "2010-03-02T22:44:00-07:00",
-          "2010-03-02T22:45:00-07:00",
-          "2010-03-02T22:46:00-07:00",
-          "2010-03-02T22:47:00-07:00",
-          "2010-03-02T22:48:00-07:00",
-          "2010-03-02T22:49:00-07:00",
-          "2010-03-02T22:50:00-07:00",
-          "2010-03-02T22:51:00-07:00",
-          "2010-03-02T22:52:00-07:00",
-          "2010-03-02T22:53:00-07:00",
-          "2010-03-02T22:54:00-07:00",
-          "2010-03-02T22:55:00-07:00",
-          "2010-03-02T22:56:00-07:00",
-          "2010-03-02T22:57:00-07:00",
-          "2010-03-02T22:58:00-07:00",
-          "2010-03-02T22:59:00-07:00",
-          "2010-03-02T23:00:00-07:00",
-          "2010-03-02T23:01:00-07:00",
-          "2010-03-02T23:02:00-07:00",
-          "2010-03-02T23:03:00-07:00",
-          "2010-03-02T23:04:00-07:00",
-          "2010-03-02T23:05:00-07:00",
-          "2010-03-02T23:06:00-07:00",
-          "2010-03-02T23:07:00-07:00",
-          "2010-03-02T23:08:00-07:00",
-          "2010-03-02T23:09:00-07:00",
-          "2010-03-02T23:10:00-07:00",
-          "2010-03-02T23:11:00-07:00",
-          "2010-03-02T23:12:00-07:00",
-          "2010-03-02T23:13:00-07:00",
-          "2010-03-02T23:14:00-07:00",
-          "2010-03-02T23:15:00-07:00",
-          "2010-03-02T23:16:00-07:00",
-          "2010-03-02T23:17:00-07:00",
-          "2010-03-02T23:18:00-07:00",
-          "2010-03-02T23:19:00-07:00",
-          "2010-03-02T23:20:00-07:00",
-          "2010-03-02T23:21:00-07:00",
-          "2010-03-02T23:22:00-07:00",
-          "2010-03-02T23:23:00-07:00",
-          "2010-03-02T23:24:00-07:00",
-          "2010-03-02T23:25:00-07:00",
-          "2010-03-02T23:26:00-07:00",
-          "2010-03-02T23:27:00-07:00",
-          "2010-03-02T23:28:00-07:00",
-          "2010-03-02T23:29:00-07:00",
-          "2010-03-02T23:30:00-07:00",
-          "2010-03-02T23:31:00-07:00",
-          "2010-03-02T23:32:00-07:00",
-          "2010-03-02T23:33:00-07:00",
-          "2010-03-02T23:34:00-07:00",
-          "2010-03-02T23:35:00-07:00",
-          "2010-03-02T23:36:00-07:00",
-          "2010-03-02T23:37:00-07:00",
-          "2010-03-02T23:38:00-07:00",
-          "2010-03-02T23:39:00-07:00",
-          "2010-03-02T23:40:00-07:00",
-          "2010-03-02T23:41:00-07:00",
-          "2010-03-02T23:42:00-07:00",
-          "2010-03-02T23:43:00-07:00",
-          "2010-03-02T23:44:00-07:00",
-          "2010-03-02T23:45:00-07:00",
-          "2010-03-02T23:46:00-07:00",
-          "2010-03-02T23:47:00-07:00",
-          "2010-03-02T23:48:00-07:00",
-          "2010-03-02T23:49:00-07:00",
-          "2010-03-02T23:50:00-07:00",
-          "2010-03-02T23:51:00-07:00",
-          "2010-03-02T23:52:00-07:00",
-          "2010-03-02T23:53:00-07:00",
-          "2010-03-02T23:54:00-07:00",
-          "2010-03-02T23:55:00-07:00",
-          "2010-03-02T23:56:00-07:00",
-          "2010-03-02T23:57:00-07:00",
-          "2010-03-02T23:58:00-07:00",
-          "2010-03-02T23:59:00-07:00",
-          "2010-03-03T00:00:00-07:00",
-          "2010-03-03T00:01:00-07:00",
-          "2010-03-03T00:02:00-07:00",
-          "2010-03-03T00:03:00-07:00",
-          "2010-03-03T00:04:00-07:00",
-          "2010-03-03T00:05:00-07:00",
-          "2010-03-03T00:06:00-07:00",
-          "2010-03-03T00:07:00-07:00",
-          "2010-03-03T00:08:00-07:00",
-          "2010-03-03T00:09:00-07:00",
-          "2010-03-03T00:10:00-07:00",
-          "2010-03-03T00:11:00-07:00",
-          "2010-03-03T00:12:00-07:00",
-          "2010-03-03T00:13:00-07:00",
-          "2010-03-03T00:14:00-07:00",
-          "2010-03-03T00:15:00-07:00",
-          "2010-03-03T00:16:00-07:00",
-          "2010-03-03T00:17:00-07:00",
-          "2010-03-03T00:18:00-07:00",
-          "2010-03-03T00:19:00-07:00",
-          "2010-03-03T00:20:00-07:00",
-          "2010-03-03T00:21:00-07:00",
-          "2010-03-03T00:22:00-07:00",
-          "2010-03-03T00:23:00-07:00",
-          "2010-03-03T00:24:00-07:00",
-          "2010-03-03T00:25:00-07:00",
-          "2010-03-03T00:26:00-07:00",
-          "2010-03-03T00:27:00-07:00",
-          "2010-03-03T00:28:00-07:00",
-          "2010-03-03T00:29:00-07:00",
-          "2010-03-03T00:30:00-07:00",
-          "2010-03-03T00:31:00-07:00",
-          "2010-03-03T00:32:00-07:00",
-          "2010-03-03T00:33:00-07:00",
-          "2010-03-03T00:34:00-07:00",
-          "2010-03-03T00:35:00-07:00",
-          "2010-03-03T00:36:00-07:00",
-          "2010-03-03T00:37:00-07:00",
-          "2010-03-03T00:38:00-07:00",
-          "2010-03-03T00:39:00-07:00",
-          "2010-03-03T00:40:00-07:00",
-          "2010-03-03T00:41:00-07:00",
-          "2010-03-03T00:42:00-07:00",
-          "2010-03-03T00:43:00-07:00",
-          "2010-03-03T00:44:00-07:00",
-          "2010-03-03T00:45:00-07:00",
-          "2010-03-03T00:46:00-07:00",
-          "2010-03-03T00:47:00-07:00",
-          "2010-03-03T00:48:00-07:00",
-          "2010-03-03T00:49:00-07:00",
-          "2010-03-03T00:50:00-07:00",
-          "2010-03-03T00:51:00-07:00",
-          "2010-03-03T00:52:00-07:00",
-          "2010-03-03T00:53:00-07:00",
-          "2010-03-03T00:54:00-07:00",
-          "2010-03-03T00:55:00-07:00",
-          "2010-03-03T00:56:00-07:00",
-          "2010-03-03T00:57:00-07:00",
-          "2010-03-03T00:58:00-07:00",
-          "2010-03-03T00:59:00-07:00",
-          "2010-03-03T01:00:00-07:00",
-          "2010-03-03T01:01:00-07:00",
-          "2010-03-03T01:02:00-07:00",
-          "2010-03-03T01:03:00-07:00",
-          "2010-03-03T01:04:00-07:00",
-          "2010-03-03T01:05:00-07:00",
-          "2010-03-03T01:06:00-07:00",
-          "2010-03-03T01:07:00-07:00",
-          "2010-03-03T01:08:00-07:00",
-          "2010-03-03T01:09:00-07:00",
-          "2010-03-03T01:10:00-07:00",
-          "2010-03-03T01:11:00-07:00",
-          "2010-03-03T01:12:00-07:00",
-          "2010-03-03T01:13:00-07:00",
-          "2010-03-03T01:14:00-07:00",
-          "2010-03-03T01:15:00-07:00",
-          "2010-03-03T01:16:00-07:00",
-          "2010-03-03T01:17:00-07:00",
-          "2010-03-03T01:18:00-07:00",
-          "2010-03-03T01:19:00-07:00",
-          "2010-03-03T01:20:00-07:00",
-          "2010-03-03T01:21:00-07:00",
-          "2010-03-03T01:22:00-07:00",
-          "2010-03-03T01:23:00-07:00",
-          "2010-03-03T01:24:00-07:00",
-          "2010-03-03T01:25:00-07:00",
-          "2010-03-03T01:26:00-07:00",
-          "2010-03-03T01:27:00-07:00",
-          "2010-03-03T01:28:00-07:00",
-          "2010-03-03T01:29:00-07:00",
-          "2010-03-03T01:30:00-07:00",
-          "2010-03-03T01:31:00-07:00",
-          "2010-03-03T01:32:00-07:00",
-          "2010-03-03T01:33:00-07:00",
-          "2010-03-03T01:34:00-07:00",
-          "2010-03-03T01:35:00-07:00",
-          "2010-03-03T01:36:00-07:00",
-          "2010-03-03T01:37:00-07:00",
-          "2010-03-03T01:38:00-07:00",
-          "2010-03-03T01:39:00-07:00",
-          "2010-03-03T01:40:00-07:00",
-          "2010-03-03T01:41:00-07:00",
-          "2010-03-03T01:42:00-07:00",
-          "2010-03-03T01:43:00-07:00",
-          "2010-03-03T01:44:00-07:00",
-          "2010-03-03T01:45:00-07:00",
-          "2010-03-03T01:46:00-07:00",
-          "2010-03-03T01:47:00-07:00",
-          "2010-03-03T01:48:00-07:00",
-          "2010-03-03T01:49:00-07:00",
-          "2010-03-03T01:50:00-07:00",
-          "2010-03-03T01:51:00-07:00",
-          "2010-03-03T01:52:00-07:00",
-          "2010-03-03T01:53:00-07:00",
-          "2010-03-03T01:54:00-07:00",
-          "2010-03-03T01:55:00-07:00",
-          "2010-03-03T01:56:00-07:00",
-          "2010-03-03T01:57:00-07:00",
-          "2010-03-03T01:58:00-07:00",
-          "2010-03-03T01:59:00-07:00",
-          "2010-03-03T02:00:00-07:00",
-          "2010-03-03T02:01:00-07:00",
-          "2010-03-03T02:02:00-07:00",
-          "2010-03-03T02:03:00-07:00",
-          "2010-03-03T02:04:00-07:00",
-          "2010-03-03T02:05:00-07:00",
-          "2010-03-03T02:06:00-07:00",
-          "2010-03-03T02:07:00-07:00",
-          "2010-03-03T02:08:00-07:00",
-          "2010-03-03T02:09:00-07:00",
-          "2010-03-03T02:10:00-07:00",
-          "2010-03-03T02:11:00-07:00",
-          "2010-03-03T02:12:00-07:00",
-          "2010-03-03T02:13:00-07:00",
-          "2010-03-03T02:14:00-07:00",
-          "2010-03-03T02:15:00-07:00",
-          "2010-03-03T02:16:00-07:00",
-          "2010-03-03T02:17:00-07:00",
-          "2010-03-03T02:18:00-07:00",
-          "2010-03-03T02:19:00-07:00",
-          "2010-03-03T02:20:00-07:00",
-          "2010-03-03T02:21:00-07:00",
-          "2010-03-03T02:22:00-07:00",
-          "2010-03-03T02:23:00-07:00",
-          "2010-03-03T02:24:00-07:00",
-          "2010-03-03T02:25:00-07:00",
-          "2010-03-03T02:26:00-07:00",
-          "2010-03-03T02:27:00-07:00",
-          "2010-03-03T02:28:00-07:00",
-          "2010-03-03T02:29:00-07:00",
-          "2010-03-03T02:30:00-07:00",
-          "2010-03-03T02:31:00-07:00",
-          "2010-03-03T02:32:00-07:00",
-          "2010-03-03T02:33:00-07:00",
-          "2010-03-03T02:34:00-07:00",
-          "2010-03-03T02:35:00-07:00",
-          "2010-03-03T02:36:00-07:00",
-          "2010-03-03T02:37:00-07:00",
-          "2010-03-03T02:38:00-07:00",
-          "2010-03-03T02:39:00-07:00",
-          "2010-03-03T02:40:00-07:00",
-          "2010-03-03T02:41:00-07:00",
-          "2010-03-03T02:42:00-07:00",
-          "2010-03-03T02:43:00-07:00",
-          "2010-03-03T02:44:00-07:00",
-          "2010-03-03T02:45:00-07:00",
-          "2010-03-03T02:46:00-07:00",
-          "2010-03-03T02:47:00-07:00",
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-          "2010-03-03T09:13:00-07:00",
-          "2010-03-03T09:14:00-07:00",
-          "2010-03-03T09:15:00-07:00",
-          "2010-03-03T09:16:00-07:00",
-          "2010-03-03T09:17:00-07:00",
-          "2010-03-03T09:18:00-07:00",
-          "2010-03-03T09:19:00-07:00",
-          "2010-03-03T09:20:00-07:00",
-          "2010-03-03T09:21:00-07:00",
-          "2010-03-03T09:22:00-07:00",
-          "2010-03-03T09:23:00-07:00",
-          "2010-03-03T09:24:00-07:00",
-          "2010-03-03T09:25:00-07:00",
-          "2010-03-03T09:26:00-07:00",
-          "2010-03-03T09:27:00-07:00",
-          "2010-03-03T09:28:00-07:00",
-          "2010-03-03T09:29:00-07:00",
-          "2010-03-03T09:30:00-07:00",
-          "2010-03-03T09:31:00-07:00",
-          "2010-03-03T09:32:00-07:00",
-          "2010-03-03T09:33:00-07:00",
-          "2010-03-03T09:34:00-07:00",
-          "2010-03-03T09:35:00-07:00",
-          "2010-03-03T09:36:00-07:00",
-          "2010-03-03T09:37:00-07:00",
-          "2010-03-03T09:38:00-07:00",
-          "2010-03-03T09:39:00-07:00",
-          "2010-03-03T09:40:00-07:00",
-          "2010-03-03T09:41:00-07:00",
-          "2010-03-03T09:42:00-07:00",
-          "2010-03-03T09:43:00-07:00",
-          "2010-03-03T09:44:00-07:00",
-          "2010-03-03T09:45:00-07:00",
-          "2010-03-03T09:46:00-07:00",
-          "2010-03-03T09:47:00-07:00",
-          "2010-03-03T09:48:00-07:00",
-          "2010-03-03T09:49:00-07:00",
-          "2010-03-03T09:50:00-07:00",
-          "2010-03-03T09:51:00-07:00",
-          "2010-03-03T09:52:00-07:00",
-          "2010-03-03T09:53:00-07:00",
-          "2010-03-03T09:54:00-07:00",
-          "2010-03-03T09:55:00-07:00",
-          "2010-03-03T09:56:00-07:00",
-          "2010-03-03T09:57:00-07:00",
-          "2010-03-03T09:58:00-07:00",
-          "2010-03-03T09:59:00-07:00",
-          "2010-03-03T10:00:00-07:00",
-          "2010-03-03T10:01:00-07:00",
-          "2010-03-03T10:02:00-07:00",
-          "2010-03-03T10:03:00-07:00",
-          "2010-03-03T10:04:00-07:00",
-          "2010-03-03T10:05:00-07:00",
-          "2010-03-03T10:06:00-07:00",
-          "2010-03-03T10:08:00-07:00",
-          "2010-03-03T10:09:00-07:00",
-          "2010-03-03T10:10:00-07:00",
-          "2010-03-03T10:12:00-07:00",
-          "2010-03-03T10:13:00-07:00",
-          "2010-03-03T10:14:00-07:00",
-          "2010-03-03T10:15:00-07:00",
-          "2010-03-03T10:16:00-07:00",
-          "2010-03-03T10:17:00-07:00",
-          "2010-03-03T10:20:00-07:00",
-          "2010-03-03T10:21:00-07:00",
-          "2010-03-03T10:22:00-07:00",
-          "2010-03-03T10:23:00-07:00",
-          "2010-03-03T10:24:00-07:00",
-          "2010-03-03T10:25:00-07:00",
-          "2010-03-03T10:26:00-07:00",
-          "2010-03-03T10:27:00-07:00",
-          "2010-03-03T10:28:00-07:00",
-          "2010-03-03T10:29:00-07:00",
-          "2010-03-03T10:30:00-07:00",
-          "2010-03-03T10:31:00-07:00",
-          "2010-03-03T10:32:00-07:00",
-          "2010-03-03T10:33:00-07:00",
-          "2010-03-03T10:34:00-07:00",
-          "2010-03-03T10:35:00-07:00",
-          "2010-03-03T10:36:00-07:00",
-          "2010-03-03T10:37:00-07:00",
-          "2010-03-03T10:38:00-07:00",
-          "2010-03-03T10:40:00-07:00",
-          "2010-03-03T10:41:00-07:00",
-          "2010-03-03T10:43:00-07:00",
-          "2010-03-03T10:44:00-07:00",
-          "2010-03-03T10:45:00-07:00",
-          "2010-03-03T10:46:00-07:00",
-          "2010-03-03T10:47:00-07:00",
-          "2010-03-03T10:52:00-07:00",
-          "2010-03-03T10:54:00-07:00",
-          "2010-03-03T10:56:00-07:00",
-          "2010-03-03T10:57:00-07:00",
-          "2010-03-03T10:58:00-07:00",
-          "2010-03-03T10:59:00-07:00",
-          "2010-03-03T11:00:00-07:00",
-          "2010-03-03T11:01:00-07:00",
-          "2010-03-03T11:02:00-07:00",
-          "2010-03-03T11:03:00-07:00",
-          "2010-03-03T11:04:00-07:00",
-          "2010-03-03T11:05:00-07:00",
-          "2010-03-03T11:07:00-07:00",
-          "2010-03-03T11:09:00-07:00",
-          "2010-03-03T11:10:00-07:00",
-          "2010-03-03T11:11:00-07:00",
-          "2010-03-03T11:12:00-07:00",
-          "2010-03-03T11:13:00-07:00",
-          "2010-03-03T11:14:00-07:00",
-          "2010-03-03T11:15:00-07:00",
-          "2010-03-03T11:16:00-07:00",
-          "2010-03-03T11:17:00-07:00",
-          "2010-03-03T11:18:00-07:00",
-          "2010-03-03T11:19:00-07:00",
-          "2010-03-03T11:21:00-07:00",
-          "2010-03-03T11:22:00-07:00",
-          "2010-03-03T11:23:00-07:00",
-          "2010-03-03T11:24:00-07:00",
-          "2010-03-03T11:25:00-07:00",
-          "2010-03-03T11:27:00-07:00",
-          "2010-03-03T11:28:00-07:00",
-          "2010-03-03T11:30:00-07:00",
-          "2010-03-03T11:32:00-07:00",
-          "2010-03-03T11:33:00-07:00",
-          "2010-03-03T11:34:00-07:00",
-          "2010-03-03T11:36:00-07:00",
-          "2010-03-03T11:38:00-07:00",
-          "2010-03-03T11:39:00-07:00",
-          "2010-03-03T11:40:00-07:00",
-          "2010-03-03T11:43:00-07:00",
-          "2010-03-03T11:45:00-07:00",
-          "2010-03-03T11:46:00-07:00",
-          "2010-03-03T11:48:00-07:00",
-          "2010-03-03T11:51:00-07:00",
-          "2010-03-03T11:55:00-07:00",
-          "2010-03-03T11:56:00-07:00",
-          "2010-03-03T11:59:00-07:00",
-          "2010-03-03T12:01:00-07:00",
-          "2010-03-03T12:02:00-07:00",
-          "2010-03-03T12:03:00-07:00",
-          "2010-03-03T12:04:00-07:00",
-          "2010-03-03T12:06:00-07:00",
-          "2010-03-03T12:07:00-07:00",
-          "2010-03-03T12:08:00-07:00",
-          "2010-03-03T12:09:00-07:00",
-          "2010-03-03T12:12:00-07:00",
-          "2010-03-03T12:13:00-07:00",
-          "2010-03-03T12:16:00-07:00",
-          "2010-03-03T12:17:00-07:00",
-          "2010-03-03T12:18:00-07:00",
-          "2010-03-03T12:19:00-07:00",
-          "2010-03-03T12:20:00-07:00",
-          "2010-03-03T12:21:00-07:00",
-          "2010-03-03T12:24:00-07:00",
-          "2010-03-03T12:26:00-07:00",
-          "2010-03-03T12:28:00-07:00",
-          "2010-03-03T12:30:00-07:00",
-          "2010-03-03T12:32:00-07:00",
-          "2010-03-03T12:34:00-07:00",
-          "2010-03-03T12:35:00-07:00",
-          "2010-03-03T12:38:00-07:00",
-          "2010-03-03T12:39:00-07:00",
-          "2010-03-03T12:46:00-07:00",
-          "2010-03-03T12:49:00-07:00",
-          "2010-03-03T12:50:00-07:00",
-          "2010-03-03T12:52:00-07:00",
-          "2010-03-03T12:53:00-07:00",
-          "2010-03-03T12:54:00-07:00",
-          "2010-03-03T12:55:00-07:00",
-          "2010-03-03T12:56:00-07:00",
-          "2010-03-03T12:59:00-07:00",
-          "2010-03-03T13:01:00-07:00",
-          "2010-03-03T13:02:00-07:00",
-          "2010-03-03T13:03:00-07:00",
-          "2010-03-03T13:04:00-07:00",
-          "2010-03-03T13:05:00-07:00",
-          "2010-03-03T13:06:00-07:00",
-          "2010-03-03T13:07:00-07:00",
-          "2010-03-03T13:13:00-07:00",
-          "2010-03-03T13:14:00-07:00",
-          "2010-03-03T13:16:00-07:00",
-          "2010-03-03T13:17:00-07:00",
-          "2010-03-03T13:18:00-07:00",
-          "2010-03-03T13:19:00-07:00",
-          "2010-03-03T13:20:00-07:00",
-          "2010-03-03T13:22:00-07:00",
-          "2010-03-03T13:23:00-07:00",
-          "2010-03-03T13:25:00-07:00",
-          "2010-03-03T13:26:00-07:00",
-          "2010-03-03T13:27:00-07:00",
-          "2010-03-03T13:29:00-07:00",
-          "2010-03-03T13:30:00-07:00",
-          "2010-03-03T13:31:00-07:00",
-          "2010-03-03T13:32:00-07:00",
-          "2010-03-03T13:33:00-07:00",
-          "2010-03-03T13:34:00-07:00",
-          "2010-03-03T13:36:00-07:00",
-          "2010-03-03T13:37:00-07:00",
-          "2010-03-03T13:38:00-07:00",
-          "2010-03-03T13:39:00-07:00",
-          "2010-03-03T13:40:00-07:00",
-          "2010-03-03T13:42:00-07:00",
-          "2010-03-03T13:43:00-07:00",
-          "2010-03-03T13:44:00-07:00",
-          "2010-03-03T13:45:00-07:00",
-          "2010-03-03T13:47:00-07:00",
-          "2010-03-03T13:49:00-07:00",
-          "2010-03-03T13:50:00-07:00",
-          "2010-03-03T13:51:00-07:00",
-          "2010-03-03T13:54:00-07:00",
-          "2010-03-03T13:55:00-07:00",
-          "2010-03-03T13:56:00-07:00",
-          "2010-03-03T13:57:00-07:00",
-          "2010-03-03T13:58:00-07:00",
-          "2010-03-03T13:59:00-07:00",
-          "2010-03-03T14:00:00-07:00",
-          "2010-03-03T14:01:00-07:00",
-          "2010-03-03T14:02:00-07:00",
-          "2010-03-03T14:03:00-07:00",
-          "2010-03-03T14:04:00-07:00",
-          "2010-03-03T14:05:00-07:00",
-          "2010-03-03T14:06:00-07:00",
-          "2010-03-03T14:07:00-07:00",
-          "2010-03-03T14:08:00-07:00",
-          "2010-03-03T14:09:00-07:00",
-          "2010-03-03T14:10:00-07:00",
-          "2010-03-03T14:11:00-07:00",
-          "2010-03-03T14:12:00-07:00",
-          "2010-03-03T14:13:00-07:00",
-          "2010-03-03T14:14:00-07:00",
-          "2010-03-03T14:15:00-07:00",
-          "2010-03-03T14:16:00-07:00",
-          "2010-03-03T14:17:00-07:00",
-          "2010-03-03T14:18:00-07:00",
-          "2010-03-03T14:19:00-07:00",
-          "2010-03-03T14:20:00-07:00",
-          "2010-03-03T14:21:00-07:00",
-          "2010-03-03T14:22:00-07:00",
-          "2010-03-03T14:23:00-07:00",
-          "2010-03-03T14:24:00-07:00",
-          "2010-03-03T14:25:00-07:00",
-          "2010-03-03T14:26:00-07:00",
-          "2010-03-03T14:27:00-07:00",
-          "2010-03-03T14:28:00-07:00",
-          "2010-03-03T14:29:00-07:00",
-          "2010-03-03T14:30:00-07:00",
-          "2010-03-03T14:31:00-07:00",
-          "2010-03-03T14:32:00-07:00",
-          "2010-03-03T14:33:00-07:00",
-          "2010-03-03T14:34:00-07:00",
-          "2010-03-03T14:35:00-07:00",
-          "2010-03-03T14:36:00-07:00",
-          "2010-03-03T14:37:00-07:00",
-          "2010-03-03T14:38:00-07:00",
-          "2010-03-03T14:39:00-07:00",
-          "2010-03-03T14:40:00-07:00",
-          "2010-03-03T14:41:00-07:00",
-          "2010-03-03T14:42:00-07:00",
-          "2010-03-03T14:43:00-07:00",
-          "2010-03-03T14:44:00-07:00",
-          "2010-03-03T14:45:00-07:00",
-          "2010-03-03T14:46:00-07:00",
-          "2010-03-03T14:47:00-07:00",
-          "2010-03-03T14:48:00-07:00",
-          "2010-03-03T14:49:00-07:00",
-          "2010-03-03T14:50:00-07:00",
-          "2010-03-03T14:51:00-07:00",
-          "2010-03-03T14:52:00-07:00",
-          "2010-03-03T14:53:00-07:00",
-          "2010-03-03T14:54:00-07:00",
-          "2010-03-03T14:55:00-07:00",
-          "2010-03-03T14:56:00-07:00",
-          "2010-03-03T14:57:00-07:00",
-          "2010-03-03T14:58:00-07:00",
-          "2010-03-03T14:59:00-07:00",
-          "2010-03-03T15:00:00-07:00",
-          "2010-03-03T15:01:00-07:00",
-          "2010-03-03T15:02:00-07:00",
-          "2010-03-03T15:03:00-07:00",
-          "2010-03-03T15:04:00-07:00",
-          "2010-03-03T15:05:00-07:00",
-          "2010-03-03T15:06:00-07:00",
-          "2010-03-03T15:07:00-07:00",
-          "2010-03-03T15:08:00-07:00",
-          "2010-03-03T15:09:00-07:00",
-          "2010-03-03T15:10:00-07:00",
-          "2010-03-03T15:11:00-07:00",
-          "2010-03-03T15:12:00-07:00",
-          "2010-03-03T15:13:00-07:00",
-          "2010-03-03T15:14:00-07:00",
-          "2010-03-03T15:15:00-07:00",
-          "2010-03-03T15:16:00-07:00",
-          "2010-03-03T15:17:00-07:00",
-          "2010-03-03T15:18:00-07:00",
-          "2010-03-03T15:19:00-07:00",
-          "2010-03-03T15:20:00-07:00",
-          "2010-03-03T15:21:00-07:00",
-          "2010-03-03T15:22:00-07:00",
-          "2010-03-03T15:23:00-07:00",
-          "2010-03-03T15:24:00-07:00",
-          "2010-03-03T15:25:00-07:00",
-          "2010-03-03T15:26:00-07:00",
-          "2010-03-03T15:27:00-07:00",
-          "2010-03-03T15:28:00-07:00",
-          "2010-03-03T15:29:00-07:00",
-          "2010-03-03T15:30:00-07:00",
-          "2010-03-03T15:31:00-07:00",
-          "2010-03-03T15:32:00-07:00",
-          "2010-03-03T15:33:00-07:00",
-          "2010-03-03T15:34:00-07:00",
-          "2010-03-03T15:35:00-07:00",
-          "2010-03-03T15:36:00-07:00",
-          "2010-03-03T15:37:00-07:00",
-          "2010-03-03T15:38:00-07:00",
-          "2010-03-03T15:39:00-07:00",
-          "2010-03-03T15:40:00-07:00",
-          "2010-03-03T15:41:00-07:00",
-          "2010-03-03T15:42:00-07:00",
-          "2010-03-03T15:43:00-07:00",
-          "2010-03-03T15:44:00-07:00",
-          "2010-03-03T15:45:00-07:00",
-          "2010-03-03T15:46:00-07:00",
-          "2010-03-03T15:47:00-07:00",
-          "2010-03-03T15:48:00-07:00",
-          "2010-03-03T15:49:00-07:00",
-          "2010-03-03T15:50:00-07:00",
-          "2010-03-03T15:51:00-07:00",
-          "2010-03-03T15:52:00-07:00",
-          "2010-03-03T15:53:00-07:00",
-          "2010-03-03T15:54:00-07:00",
-          "2010-03-03T15:55:00-07:00",
-          "2010-03-03T15:56:00-07:00",
-          "2010-03-03T15:57:00-07:00",
-          "2010-03-03T15:58:00-07:00",
-          "2010-03-03T15:59:00-07:00",
-          "2010-03-03T16:00:00-07:00",
-          "2010-03-03T16:01:00-07:00",
-          "2010-03-03T16:02:00-07:00",
-          "2010-03-03T16:03:00-07:00",
-          "2010-03-03T16:04:00-07:00",
-          "2010-03-03T16:05:00-07:00",
-          "2010-03-03T16:06:00-07:00",
-          "2010-03-03T16:07:00-07:00",
-          "2010-03-03T16:08:00-07:00",
-          "2010-03-03T16:09:00-07:00",
-          "2010-03-03T16:10:00-07:00",
-          "2010-03-03T16:11:00-07:00",
-          "2010-03-03T16:12:00-07:00",
-          "2010-03-03T16:13:00-07:00",
-          "2010-03-03T16:14:00-07:00",
-          "2010-03-03T16:15:00-07:00",
-          "2010-03-03T16:16:00-07:00",
-          "2010-03-03T16:17:00-07:00",
-          "2010-03-03T16:18:00-07:00",
-          "2010-03-03T16:19:00-07:00",
-          "2010-03-03T16:20:00-07:00",
-          "2010-03-03T16:21:00-07:00",
-          "2010-03-03T16:22:00-07:00",
-          "2010-03-03T16:23:00-07:00",
-          "2010-03-03T16:24:00-07:00",
-          "2010-03-03T16:25:00-07:00",
-          "2010-03-03T16:26:00-07:00",
-          "2010-03-03T16:27:00-07:00",
-          "2010-03-03T16:28:00-07:00",
-          "2010-03-03T16:29:00-07:00",
-          "2010-03-03T16:30:00-07:00",
-          "2010-03-03T16:31:00-07:00",
-          "2010-03-03T16:32:00-07:00",
-          "2010-03-03T16:33:00-07:00",
-          "2010-03-03T16:34:00-07:00",
-          "2010-03-03T16:35:00-07:00",
-          "2010-03-03T16:36:00-07:00",
-          "2010-03-03T16:37:00-07:00",
-          "2010-03-03T16:38:00-07:00",
-          "2010-03-03T16:39:00-07:00",
-          "2010-03-03T16:40:00-07:00",
-          "2010-03-03T16:41:00-07:00",
-          "2010-03-03T16:42:00-07:00",
-          "2010-03-03T16:43:00-07:00",
-          "2010-03-03T16:44:00-07:00",
-          "2010-03-03T16:45:00-07:00",
-          "2010-03-03T16:46:00-07:00",
-          "2010-03-03T16:47:00-07:00",
-          "2010-03-03T16:48:00-07:00",
-          "2010-03-03T16:49:00-07:00",
-          "2010-03-03T16:50:00-07:00",
-          "2010-03-03T16:51:00-07:00",
-          "2010-03-03T16:52:00-07:00",
-          "2010-03-03T16:53:00-07:00",
-          "2010-03-03T16:54:00-07:00",
-          "2010-03-03T16:55:00-07:00",
-          "2010-03-03T16:56:00-07:00",
-          "2010-03-03T16:57:00-07:00",
-          "2010-03-03T16:58:00-07:00",
-          "2010-03-03T16:59:00-07:00",
-          "2010-03-03T17:00:00-07:00",
-          "2010-03-03T17:01:00-07:00",
-          "2010-03-03T17:02:00-07:00",
-          "2010-03-03T17:03:00-07:00",
-          "2010-03-03T17:04:00-07:00",
-          "2010-03-03T17:05:00-07:00",
-          "2010-03-03T17:06:00-07:00",
-          "2010-03-03T17:07:00-07:00",
-          "2010-03-03T17:08:00-07:00",
-          "2010-03-03T17:09:00-07:00",
-          "2010-03-03T17:10:00-07:00",
-          "2010-03-03T17:11:00-07:00",
-          "2010-03-03T17:12:00-07:00",
-          "2010-03-03T17:13:00-07:00",
-          "2010-03-03T17:14:00-07:00",
-          "2010-03-03T17:15:00-07:00",
-          "2010-03-03T17:16:00-07:00",
-          "2010-03-03T17:17:00-07:00",
-          "2010-03-03T17:18:00-07:00",
-          "2010-03-03T17:19:00-07:00",
-          "2010-03-03T17:20:00-07:00",
-          "2010-03-03T17:21:00-07:00",
-          "2010-03-03T17:22:00-07:00",
-          "2010-03-03T17:23:00-07:00",
-          "2010-03-03T17:24:00-07:00",
-          "2010-03-03T17:25:00-07:00",
-          "2010-03-03T17:26:00-07:00",
-          "2010-03-03T17:27:00-07:00",
-          "2010-03-03T17:28:00-07:00",
-          "2010-03-03T17:29:00-07:00",
-          "2010-03-03T17:30:00-07:00",
-          "2010-03-03T17:31:00-07:00",
-          "2010-03-03T17:32:00-07:00",
-          "2010-03-03T17:33:00-07:00",
-          "2010-03-03T17:34:00-07:00",
-          "2010-03-03T17:35:00-07:00",
-          "2010-03-03T17:36:00-07:00",
-          "2010-03-03T17:37:00-07:00",
-          "2010-03-03T17:38:00-07:00",
-          "2010-03-03T17:39:00-07:00",
-          "2010-03-03T17:40:00-07:00",
-          "2010-03-03T17:41:00-07:00",
-          "2010-03-03T17:42:00-07:00",
-          "2010-03-03T17:43:00-07:00",
-          "2010-03-03T17:44:00-07:00",
-          "2010-03-03T17:45:00-07:00",
-          "2010-03-03T17:46:00-07:00",
-          "2010-03-03T17:47:00-07:00",
-          "2010-03-03T17:48:00-07:00",
-          "2010-03-03T17:49:00-07:00",
-          "2010-03-03T17:50:00-07:00",
-          "2010-03-03T17:51:00-07:00",
-          "2010-03-03T17:52:00-07:00",
-          "2010-03-03T17:53:00-07:00",
-          "2010-03-03T17:54:00-07:00",
-          "2010-03-03T17:55:00-07:00",
-          "2010-03-03T17:56:00-07:00",
-          "2010-03-03T17:57:00-07:00",
-          "2010-03-03T17:58:00-07:00",
-          "2010-03-03T17:59:00-07:00",
-          "2010-03-03T18:00:00-07:00",
-          "2010-03-03T18:01:00-07:00",
-          "2010-03-03T18:02:00-07:00",
-          "2010-03-03T18:03:00-07:00",
-          "2010-03-03T18:04:00-07:00",
-          "2010-03-03T18:05:00-07:00",
-          "2010-03-03T18:06:00-07:00",
-          "2010-03-03T18:07:00-07:00",
-          "2010-03-03T18:08:00-07:00",
-          "2010-03-03T18:09:00-07:00",
-          "2010-03-03T18:10:00-07:00",
-          "2010-03-03T18:11:00-07:00",
-          "2010-03-03T18:12:00-07:00",
-          "2010-03-03T18:13:00-07:00",
-          "2010-03-03T18:14:00-07:00",
-          "2010-03-03T18:15:00-07:00",
-          "2010-03-03T18:16:00-07:00",
-          "2010-03-03T18:17:00-07:00",
-          "2010-03-03T18:18:00-07:00",
-          "2010-03-03T18:19:00-07:00",
-          "2010-03-03T18:20:00-07:00",
-          "2010-03-03T18:21:00-07:00",
-          "2010-03-03T18:22:00-07:00",
-          "2010-03-03T18:23:00-07:00",
-          "2010-03-03T18:24:00-07:00",
-          "2010-03-03T18:25:00-07:00",
-          "2010-03-03T18:26:00-07:00",
-          "2010-03-03T18:27:00-07:00",
-          "2010-03-03T18:28:00-07:00",
-          "2010-03-03T18:29:00-07:00",
-          "2010-03-03T18:30:00-07:00",
-          "2010-03-03T18:31:00-07:00",
-          "2010-03-03T18:32:00-07:00",
-          "2010-03-03T18:33:00-07:00",
-          "2010-03-03T18:34:00-07:00",
-          "2010-03-03T18:35:00-07:00",
-          "2010-03-03T18:36:00-07:00",
-          "2010-03-03T18:37:00-07:00",
-          "2010-03-03T18:38:00-07:00",
-          "2010-03-03T18:39:00-07:00",
-          "2010-03-03T18:40:00-07:00",
-          "2010-03-03T18:41:00-07:00",
-          "2010-03-03T18:42:00-07:00",
-          "2010-03-03T18:43:00-07:00",
-          "2010-03-03T18:44:00-07:00",
-          "2010-03-03T18:45:00-07:00",
-          "2010-03-03T18:46:00-07:00",
-          "2010-03-03T18:47:00-07:00",
-          "2010-03-03T18:48:00-07:00",
-          "2010-03-03T18:49:00-07:00",
-          "2010-03-03T18:50:00-07:00",
-          "2010-03-03T18:51:00-07:00",
-          "2010-03-03T18:52:00-07:00",
-          "2010-03-03T18:53:00-07:00",
-          "2010-03-03T18:54:00-07:00",
-          "2010-03-03T18:55:00-07:00",
-          "2010-03-03T18:56:00-07:00",
-          "2010-03-03T18:57:00-07:00",
-          "2010-03-03T18:58:00-07:00",
-          "2010-03-03T18:59:00-07:00",
-          "2010-03-03T19:00:00-07:00",
-          "2010-03-03T19:01:00-07:00",
-          "2010-03-03T19:02:00-07:00",
-          "2010-03-03T19:03:00-07:00",
-          "2010-03-03T19:04:00-07:00",
-          "2010-03-03T19:05:00-07:00",
-          "2010-03-03T19:06:00-07:00",
-          "2010-03-03T19:07:00-07:00",
-          "2010-03-03T19:08:00-07:00",
-          "2010-03-03T19:09:00-07:00",
-          "2010-03-03T19:10:00-07:00",
-          "2010-03-03T19:11:00-07:00",
-          "2010-03-03T19:12:00-07:00",
-          "2010-03-03T19:13:00-07:00",
-          "2010-03-03T19:14:00-07:00",
-          "2010-03-03T19:15:00-07:00",
-          "2010-03-03T19:16:00-07:00",
-          "2010-03-03T19:17:00-07:00",
-          "2010-03-03T19:18:00-07:00",
-          "2010-03-03T19:19:00-07:00",
-          "2010-03-03T19:20:00-07:00",
-          "2010-03-03T19:21:00-07:00",
-          "2010-03-03T19:22:00-07:00",
-          "2010-03-03T19:23:00-07:00",
-          "2010-03-03T19:24:00-07:00",
-          "2010-03-03T19:25:00-07:00",
-          "2010-03-03T19:26:00-07:00",
-          "2010-03-03T19:27:00-07:00",
-          "2010-03-03T19:28:00-07:00",
-          "2010-03-03T19:29:00-07:00",
-          "2010-03-03T19:30:00-07:00",
-          "2010-03-03T19:31:00-07:00",
-          "2010-03-03T19:32:00-07:00",
-          "2010-03-03T19:33:00-07:00",
-          "2010-03-03T19:34:00-07:00",
-          "2010-03-03T19:35:00-07:00",
-          "2010-03-03T19:36:00-07:00",
-          "2010-03-03T19:37:00-07:00",
-          "2010-03-03T19:38:00-07:00",
-          "2010-03-03T19:39:00-07:00",
-          "2010-03-03T19:40:00-07:00",
-          "2010-03-03T19:41:00-07:00",
-          "2010-03-03T19:42:00-07:00",
-          "2010-03-03T19:43:00-07:00",
-          "2010-03-03T19:44:00-07:00",
-          "2010-03-03T19:45:00-07:00",
-          "2010-03-03T19:46:00-07:00",
-          "2010-03-03T19:47:00-07:00",
-          "2010-03-03T19:48:00-07:00",
-          "2010-03-03T19:49:00-07:00",
-          "2010-03-03T19:50:00-07:00",
-          "2010-03-03T19:51:00-07:00",
-          "2010-03-03T19:52:00-07:00",
-          "2010-03-03T19:53:00-07:00",
-          "2010-03-03T19:54:00-07:00",
-          "2010-03-03T19:55:00-07:00",
-          "2010-03-03T19:56:00-07:00",
-          "2010-03-03T19:57:00-07:00",
-          "2010-03-03T19:58:00-07:00",
-          "2010-03-03T19:59:00-07:00",
-          "2010-03-03T20:00:00-07:00",
-          "2010-03-03T20:01:00-07:00",
-          "2010-03-03T20:02:00-07:00",
-          "2010-03-03T20:03:00-07:00",
-          "2010-03-03T20:04:00-07:00",
-          "2010-03-03T20:05:00-07:00",
-          "2010-03-03T20:06:00-07:00",
-          "2010-03-03T20:07:00-07:00",
-          "2010-03-03T20:08:00-07:00",
-          "2010-03-03T20:09:00-07:00",
-          "2010-03-03T20:10:00-07:00",
-          "2010-03-03T20:11:00-07:00",
-          "2010-03-03T20:12:00-07:00",
-          "2010-03-03T20:13:00-07:00",
-          "2010-03-03T20:14:00-07:00",
-          "2010-03-03T20:15:00-07:00",
-          "2010-03-03T20:16:00-07:00",
-          "2010-03-03T20:17:00-07:00",
-          "2010-03-03T20:18:00-07:00",
-          "2010-03-03T20:19:00-07:00",
-          "2010-03-03T20:20:00-07:00",
-          "2010-03-03T20:21:00-07:00",
-          "2010-03-03T20:22:00-07:00",
-          "2010-03-03T20:23:00-07:00",
-          "2010-03-03T20:24:00-07:00",
-          "2010-03-03T20:25:00-07:00",
-          "2010-03-03T20:26:00-07:00",
-          "2010-03-03T20:27:00-07:00",
-          "2010-03-03T20:28:00-07:00",
-          "2010-03-03T20:29:00-07:00",
-          "2010-03-03T20:30:00-07:00",
-          "2010-03-03T20:31:00-07:00",
-          "2010-03-03T20:32:00-07:00",
-          "2010-03-03T20:33:00-07:00",
-          "2010-03-03T20:34:00-07:00",
-          "2010-03-03T20:35:00-07:00",
-          "2010-03-03T20:36:00-07:00",
-          "2010-03-03T20:37:00-07:00",
-          "2010-03-03T20:38:00-07:00",
-          "2010-03-03T20:39:00-07:00",
-          "2010-03-03T20:40:00-07:00",
-          "2010-03-03T20:41:00-07:00",
-          "2010-03-03T20:42:00-07:00",
-          "2010-03-03T20:43:00-07:00",
-          "2010-03-03T20:44:00-07:00",
-          "2010-03-03T20:45:00-07:00",
-          "2010-03-03T20:46:00-07:00",
-          "2010-03-03T20:47:00-07:00",
-          "2010-03-03T20:48:00-07:00",
-          "2010-03-03T20:49:00-07:00",
-          "2010-03-03T20:50:00-07:00",
-          "2010-03-03T20:51:00-07:00",
-          "2010-03-03T20:52:00-07:00",
-          "2010-03-03T20:53:00-07:00",
-          "2010-03-03T20:54:00-07:00",
-          "2010-03-03T20:55:00-07:00",
-          "2010-03-03T20:56:00-07:00",
-          "2010-03-03T20:57:00-07:00",
-          "2010-03-03T20:58:00-07:00",
-          "2010-03-03T20:59:00-07:00",
-          "2010-03-03T21:00:00-07:00",
-          "2010-03-03T21:01:00-07:00",
-          "2010-03-03T21:02:00-07:00",
-          "2010-03-03T21:03:00-07:00",
-          "2010-03-03T21:04:00-07:00",
-          "2010-03-03T21:05:00-07:00",
-          "2010-03-03T21:06:00-07:00",
-          "2010-03-03T21:07:00-07:00",
-          "2010-03-03T21:08:00-07:00",
-          "2010-03-03T21:09:00-07:00",
-          "2010-03-03T21:10:00-07:00",
-          "2010-03-03T21:11:00-07:00",
-          "2010-03-03T21:12:00-07:00",
-          "2010-03-03T21:13:00-07:00",
-          "2010-03-03T21:14:00-07:00",
-          "2010-03-03T21:15:00-07:00",
-          "2010-03-03T21:16:00-07:00",
-          "2010-03-03T21:17:00-07:00",
-          "2010-03-03T21:18:00-07:00",
-          "2010-03-03T21:19:00-07:00",
-          "2010-03-03T21:20:00-07:00",
-          "2010-03-03T21:21:00-07:00",
-          "2010-03-03T21:22:00-07:00",
-          "2010-03-03T21:23:00-07:00",
-          "2010-03-03T21:24:00-07:00",
-          "2010-03-03T21:25:00-07:00",
-          "2010-03-03T21:26:00-07:00",
-          "2010-03-03T21:27:00-07:00",
-          "2010-03-03T21:28:00-07:00",
-          "2010-03-03T21:29:00-07:00",
-          "2010-03-03T21:30:00-07:00",
-          "2010-03-03T21:31:00-07:00",
-          "2010-03-03T21:32:00-07:00",
-          "2010-03-03T21:33:00-07:00",
-          "2010-03-03T21:34:00-07:00",
-          "2010-03-03T21:35:00-07:00",
-          "2010-03-03T21:36:00-07:00",
-          "2010-03-03T21:37:00-07:00",
-          "2010-03-03T21:38:00-07:00",
-          "2010-03-03T21:39:00-07:00",
-          "2010-03-03T21:40:00-07:00",
-          "2010-03-03T21:41:00-07:00",
-          "2010-03-03T21:42:00-07:00",
-          "2010-03-03T21:43:00-07:00",
-          "2010-03-03T21:44:00-07:00",
-          "2010-03-03T21:45:00-07:00",
-          "2010-03-03T21:46:00-07:00",
-          "2010-03-03T21:47:00-07:00",
-          "2010-03-03T21:48:00-07:00",
-          "2010-03-03T21:49:00-07:00",
-          "2010-03-03T21:50:00-07:00",
-          "2010-03-03T21:51:00-07:00",
-          "2010-03-03T21:52:00-07:00",
-          "2010-03-03T21:53:00-07:00",
-          "2010-03-03T21:54:00-07:00",
-          "2010-03-03T21:55:00-07:00",
-          "2010-03-03T21:56:00-07:00",
-          "2010-03-03T21:57:00-07:00",
-          "2010-03-03T21:58:00-07:00",
-          "2010-03-03T21:59:00-07:00",
-          "2010-03-03T22:00:00-07:00",
-          "2010-03-03T22:01:00-07:00",
-          "2010-03-03T22:02:00-07:00",
-          "2010-03-03T22:03:00-07:00",
-          "2010-03-03T22:04:00-07:00",
-          "2010-03-03T22:05:00-07:00",
-          "2010-03-03T22:06:00-07:00",
-          "2010-03-03T22:07:00-07:00",
-          "2010-03-03T22:08:00-07:00",
-          "2010-03-03T22:09:00-07:00",
-          "2010-03-03T22:10:00-07:00",
-          "2010-03-03T22:11:00-07:00",
-          "2010-03-03T22:12:00-07:00",
-          "2010-03-03T22:13:00-07:00",
-          "2010-03-03T22:14:00-07:00",
-          "2010-03-03T22:15:00-07:00",
-          "2010-03-03T22:16:00-07:00",
-          "2010-03-03T22:17:00-07:00",
-          "2010-03-03T22:18:00-07:00",
-          "2010-03-03T22:19:00-07:00",
-          "2010-03-03T22:20:00-07:00",
-          "2010-03-03T22:21:00-07:00",
-          "2010-03-03T22:22:00-07:00",
-          "2010-03-03T22:23:00-07:00",
-          "2010-03-03T22:24:00-07:00",
-          "2010-03-03T22:25:00-07:00",
-          "2010-03-03T22:26:00-07:00",
-          "2010-03-03T22:27:00-07:00",
-          "2010-03-03T22:28:00-07:00",
-          "2010-03-03T22:29:00-07:00",
-          "2010-03-03T22:30:00-07:00",
-          "2010-03-03T22:31:00-07:00",
-          "2010-03-03T22:32:00-07:00",
-          "2010-03-03T22:33:00-07:00",
-          "2010-03-03T22:34:00-07:00",
-          "2010-03-03T22:35:00-07:00",
-          "2010-03-03T22:36:00-07:00",
-          "2010-03-03T22:37:00-07:00",
-          "2010-03-03T22:38:00-07:00",
-          "2010-03-03T22:39:00-07:00",
-          "2010-03-03T22:40:00-07:00",
-          "2010-03-03T22:41:00-07:00",
-          "2010-03-03T22:42:00-07:00",
-          "2010-03-03T22:43:00-07:00",
-          "2010-03-03T22:44:00-07:00",
-          "2010-03-03T22:45:00-07:00",
-          "2010-03-03T22:46:00-07:00",
-          "2010-03-03T22:47:00-07:00",
-          "2010-03-03T22:48:00-07:00",
-          "2010-03-03T22:49:00-07:00",
-          "2010-03-03T22:50:00-07:00",
-          "2010-03-03T22:51:00-07:00",
-          "2010-03-03T22:52:00-07:00",
-          "2010-03-03T22:53:00-07:00",
-          "2010-03-03T22:54:00-07:00",
-          "2010-03-03T22:55:00-07:00",
-          "2010-03-03T22:56:00-07:00",
-          "2010-03-03T22:57:00-07:00",
-          "2010-03-03T22:58:00-07:00",
-          "2010-03-03T22:59:00-07:00",
-          "2010-03-03T23:00:00-07:00",
-          "2010-03-03T23:01:00-07:00",
-          "2010-03-03T23:02:00-07:00",
-          "2010-03-03T23:03:00-07:00",
-          "2010-03-03T23:04:00-07:00",
-          "2010-03-03T23:05:00-07:00",
-          "2010-03-03T23:06:00-07:00",
-          "2010-03-03T23:07:00-07:00",
-          "2010-03-03T23:08:00-07:00",
-          "2010-03-03T23:09:00-07:00",
-          "2010-03-03T23:10:00-07:00",
-          "2010-03-03T23:11:00-07:00",
-          "2010-03-03T23:12:00-07:00",
-          "2010-03-03T23:13:00-07:00",
-          "2010-03-03T23:14:00-07:00",
-          "2010-03-03T23:15:00-07:00",
-          "2010-03-03T23:16:00-07:00",
-          "2010-03-03T23:17:00-07:00",
-          "2010-03-03T23:18:00-07:00",
-          "2010-03-03T23:19:00-07:00",
-          "2010-03-03T23:20:00-07:00",
-          "2010-03-03T23:21:00-07:00",
-          "2010-03-03T23:22:00-07:00",
-          "2010-03-03T23:23:00-07:00",
-          "2010-03-03T23:24:00-07:00",
-          "2010-03-03T23:25:00-07:00",
-          "2010-03-03T23:26:00-07:00",
-          "2010-03-03T23:27:00-07:00",
-          "2010-03-03T23:28:00-07:00",
-          "2010-03-03T23:29:00-07:00",
-          "2010-03-03T23:30:00-07:00",
-          "2010-03-03T23:31:00-07:00",
-          "2010-03-03T23:32:00-07:00",
-          "2010-03-03T23:33:00-07:00",
-          "2010-03-03T23:34:00-07:00",
-          "2010-03-03T23:35:00-07:00",
-          "2010-03-03T23:36:00-07:00",
-          "2010-03-03T23:37:00-07:00",
-          "2010-03-03T23:38:00-07:00",
-          "2010-03-03T23:39:00-07:00",
-          "2010-03-03T23:40:00-07:00",
-          "2010-03-03T23:41:00-07:00",
-          "2010-03-03T23:42:00-07:00",
-          "2010-03-03T23:43:00-07:00",
-          "2010-03-03T23:44:00-07:00",
-          "2010-03-03T23:45:00-07:00",
-          "2010-03-03T23:46:00-07:00",
-          "2010-03-03T23:47:00-07:00",
-          "2010-03-03T23:48:00-07:00",
-          "2010-03-03T23:49:00-07:00",
-          "2010-03-03T23:50:00-07:00",
-          "2010-03-03T23:51:00-07:00",
-          "2010-03-03T23:52:00-07:00",
-          "2010-03-03T23:53:00-07:00",
-          "2010-03-03T23:54:00-07:00",
-          "2010-03-03T23:55:00-07:00",
-          "2010-03-03T23:56:00-07:00",
-          "2010-03-03T23:57:00-07:00",
-          "2010-03-03T23:58:00-07:00",
-          "2010-03-03T23:59:00-07:00",
-          "2010-03-04T00:00:00-07:00",
-          "2010-03-04T00:01:00-07:00",
-          "2010-03-04T00:02:00-07:00",
-          "2010-03-04T00:03:00-07:00",
-          "2010-03-04T00:04:00-07:00",
-          "2010-03-04T00:05:00-07:00",
-          "2010-03-04T00:06:00-07:00",
-          "2010-03-04T00:07:00-07:00",
-          "2010-03-04T00:08:00-07:00",
-          "2010-03-04T00:09:00-07:00",
-          "2010-03-04T00:10:00-07:00",
-          "2010-03-04T00:11:00-07:00",
-          "2010-03-04T00:12:00-07:00",
-          "2010-03-04T00:13:00-07:00",
-          "2010-03-04T00:14:00-07:00",
-          "2010-03-04T00:15:00-07:00",
-          "2010-03-04T00:16:00-07:00",
-          "2010-03-04T00:17:00-07:00",
-          "2010-03-04T00:18:00-07:00",
-          "2010-03-04T00:19:00-07:00",
-          "2010-03-04T00:20:00-07:00",
-          "2010-03-04T00:21:00-07:00",
-          "2010-03-04T00:22:00-07:00",
-          "2010-03-04T00:23:00-07:00",
-          "2010-03-04T00:24:00-07:00",
-          "2010-03-04T00:25:00-07:00",
-          "2010-03-04T00:26:00-07:00",
-          "2010-03-04T00:27:00-07:00",
-          "2010-03-04T00:28:00-07:00",
-          "2010-03-04T00:29:00-07:00",
-          "2010-03-04T00:30:00-07:00",
-          "2010-03-04T00:31:00-07:00",
-          "2010-03-04T00:32:00-07:00",
-          "2010-03-04T00:33:00-07:00",
-          "2010-03-04T00:34:00-07:00",
-          "2010-03-04T00:35:00-07:00",
-          "2010-03-04T00:36:00-07:00",
-          "2010-03-04T00:37:00-07:00",
-          "2010-03-04T00:38:00-07:00",
-          "2010-03-04T00:39:00-07:00",
-          "2010-03-04T00:40:00-07:00",
-          "2010-03-04T00:41:00-07:00",
-          "2010-03-04T00:42:00-07:00",
-          "2010-03-04T00:43:00-07:00",
-          "2010-03-04T00:44:00-07:00",
-          "2010-03-04T00:45:00-07:00",
-          "2010-03-04T00:46:00-07:00",
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-          "2010-03-04T00:49:00-07:00",
-          "2010-03-04T00:50:00-07:00",
-          "2010-03-04T00:51:00-07:00",
-          "2010-03-04T00:52:00-07:00",
-          "2010-03-04T00:53:00-07:00",
-          "2010-03-04T00:54:00-07:00",
-          "2010-03-04T00:55:00-07:00",
-          "2010-03-04T00:56:00-07:00",
-          "2010-03-04T00:57:00-07:00",
-          "2010-03-04T00:58:00-07:00",
-          "2010-03-04T00:59:00-07:00",
-          "2010-03-04T01:00:00-07:00",
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-          "2010-03-04T01:06:00-07:00",
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-          "2010-03-04T01:09:00-07:00",
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-          "2010-03-04T01:11:00-07:00",
-          "2010-03-04T01:12:00-07:00",
-          "2010-03-04T01:13:00-07:00",
-          "2010-03-04T01:14:00-07:00",
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-          "2010-03-04T01:16:00-07:00",
-          "2010-03-04T01:17:00-07:00",
-          "2010-03-04T01:18:00-07:00",
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-          "2010-03-04T01:20:00-07:00",
-          "2010-03-04T01:21:00-07:00",
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-          "2010-03-04T01:26:00-07:00",
-          "2010-03-04T01:27:00-07:00",
-          "2010-03-04T01:28:00-07:00",
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-          "2010-03-04T01:36:00-07:00",
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-          "2010-03-04T01:38:00-07:00",
-          "2010-03-04T01:39:00-07:00",
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-          "2010-03-04T02:12:00-07:00",
-          "2010-03-04T02:13:00-07:00",
-          "2010-03-04T02:14:00-07:00",
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-          "2010-03-04T02:16:00-07:00",
-          "2010-03-04T02:17:00-07:00",
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-          "2010-03-04T02:19:00-07:00",
-          "2010-03-04T02:20:00-07:00",
-          "2010-03-04T02:21:00-07:00",
-          "2010-03-04T02:22:00-07:00",
-          "2010-03-04T02:23:00-07:00",
-          "2010-03-04T02:24:00-07:00",
-          "2010-03-04T02:25:00-07:00",
-          "2010-03-04T02:26:00-07:00",
-          "2010-03-04T02:27:00-07:00",
-          "2010-03-04T02:28:00-07:00",
-          "2010-03-04T02:29:00-07:00",
-          "2010-03-04T02:30:00-07:00",
-          "2010-03-04T02:31:00-07:00",
-          "2010-03-04T02:32:00-07:00",
-          "2010-03-04T02:33:00-07:00",
-          "2010-03-04T02:34:00-07:00",
-          "2010-03-04T02:35:00-07:00",
-          "2010-03-04T02:36:00-07:00",
-          "2010-03-04T02:37:00-07:00",
-          "2010-03-04T02:38:00-07:00",
-          "2010-03-04T02:39:00-07:00",
-          "2010-03-04T02:40:00-07:00",
-          "2010-03-04T02:41:00-07:00",
-          "2010-03-04T02:42:00-07:00",
-          "2010-03-04T02:43:00-07:00",
-          "2010-03-04T02:44:00-07:00",
-          "2010-03-04T02:45:00-07:00",
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-          "2010-03-04T02:48:00-07:00",
-          "2010-03-04T02:49:00-07:00",
-          "2010-03-04T02:50:00-07:00",
-          "2010-03-04T02:51:00-07:00",
-          "2010-03-04T02:52:00-07:00",
-          "2010-03-04T02:53:00-07:00",
-          "2010-03-04T02:54:00-07:00",
-          "2010-03-04T02:55:00-07:00",
-          "2010-03-04T02:56:00-07:00",
-          "2010-03-04T02:57:00-07:00",
-          "2010-03-04T02:58:00-07:00",
-          "2010-03-04T02:59:00-07:00",
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-          "2010-03-04T03:03:00-07:00",
-          "2010-03-04T03:04:00-07:00",
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-          "2010-03-04T03:06:00-07:00",
-          "2010-03-04T03:07:00-07:00",
-          "2010-03-04T03:08:00-07:00",
-          "2010-03-04T03:09:00-07:00",
-          "2010-03-04T03:10:00-07:00",
-          "2010-03-04T03:11:00-07:00",
-          "2010-03-04T03:12:00-07:00",
-          "2010-03-04T03:13:00-07:00",
-          "2010-03-04T03:14:00-07:00",
-          "2010-03-04T03:15:00-07:00",
-          "2010-03-04T03:16:00-07:00",
-          "2010-03-04T03:17:00-07:00",
-          "2010-03-04T03:18:00-07:00",
-          "2010-03-04T03:19:00-07:00",
-          "2010-03-04T03:20:00-07:00",
-          "2010-03-04T03:21:00-07:00",
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-          "2010-03-04T03:23:00-07:00",
-          "2010-03-04T03:24:00-07:00",
-          "2010-03-04T03:25:00-07:00",
-          "2010-03-04T03:26:00-07:00",
-          "2010-03-04T03:27:00-07:00",
-          "2010-03-04T03:28:00-07:00",
-          "2010-03-04T03:29:00-07:00",
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-          "2010-03-04T03:32:00-07:00",
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-          "2010-03-04T03:38:00-07:00",
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-          "2010-03-04T05:37:00-07:00",
-          "2010-03-04T05:38:00-07:00",
-          "2010-03-04T05:39:00-07:00",
-          "2010-03-04T05:40:00-07:00",
-          "2010-03-04T05:41:00-07:00",
-          "2010-03-04T05:42:00-07:00",
-          "2010-03-04T05:43:00-07:00",
-          "2010-03-04T05:44:00-07:00",
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-          "2010-03-04T05:46:00-07:00",
-          "2010-03-04T05:47:00-07:00",
-          "2010-03-04T05:48:00-07:00",
-          "2010-03-04T05:49:00-07:00",
-          "2010-03-04T05:50:00-07:00",
-          "2010-03-04T05:51:00-07:00",
-          "2010-03-04T05:52:00-07:00",
-          "2010-03-04T05:53:00-07:00",
-          "2010-03-04T05:54:00-07:00",
-          "2010-03-04T05:55:00-07:00",
-          "2010-03-04T05:56:00-07:00",
-          "2010-03-04T05:57:00-07:00",
-          "2010-03-04T05:58:00-07:00",
-          "2010-03-04T05:59:00-07:00",
-          "2010-03-04T06:00:00-07:00",
-          "2010-03-04T06:01:00-07:00",
-          "2010-03-04T06:02:00-07:00",
-          "2010-03-04T06:03:00-07:00",
-          "2010-03-04T06:04:00-07:00",
-          "2010-03-04T06:05:00-07:00",
-          "2010-03-04T06:06:00-07:00",
-          "2010-03-04T06:07:00-07:00",
-          "2010-03-04T06:08:00-07:00",
-          "2010-03-04T06:09:00-07:00",
-          "2010-03-04T06:10:00-07:00",
-          "2010-03-04T06:11:00-07:00",
-          "2010-03-04T06:12:00-07:00",
-          "2010-03-04T06:13:00-07:00",
-          "2010-03-04T06:14:00-07:00",
-          "2010-03-04T06:15:00-07:00",
-          "2010-03-04T06:16:00-07:00",
-          "2010-03-04T06:17:00-07:00",
-          "2010-03-04T06:18:00-07:00",
-          "2010-03-04T06:19:00-07:00",
-          "2010-03-04T06:20:00-07:00",
-          "2010-03-04T06:21:00-07:00",
-          "2010-03-04T06:22:00-07:00",
-          "2010-03-04T06:23:00-07:00",
-          "2010-03-04T06:24:00-07:00",
-          "2010-03-04T06:25:00-07:00",
-          "2010-03-04T06:26:00-07:00",
-          "2010-03-04T06:27:00-07:00",
-          "2010-03-04T06:28:00-07:00",
-          "2010-03-04T06:29:00-07:00",
-          "2010-03-04T06:30:00-07:00",
-          "2010-03-04T06:31:00-07:00",
-          "2010-03-04T06:32:00-07:00",
-          "2010-03-04T06:33:00-07:00",
-          "2010-03-04T06:34:00-07:00",
-          "2010-03-04T06:35:00-07:00",
-          "2010-03-04T06:36:00-07:00",
-          "2010-03-04T06:37:00-07:00",
-          "2010-03-04T06:38:00-07:00",
-          "2010-03-04T06:39:00-07:00",
-          "2010-03-04T06:40:00-07:00",
-          "2010-03-04T06:41:00-07:00",
-          "2010-03-04T06:42:00-07:00",
-          "2010-03-04T06:43:00-07:00",
-          "2010-03-04T06:44:00-07:00",
-          "2010-03-04T06:45:00-07:00",
-          "2010-03-04T06:46:00-07:00",
-          "2010-03-04T06:47:00-07:00",
-          "2010-03-04T06:48:00-07:00",
-          "2010-03-04T06:49:00-07:00",
-          "2010-03-04T06:50:00-07:00",
-          "2010-03-04T06:51:00-07:00",
-          "2010-03-04T06:52:00-07:00",
-          "2010-03-04T06:53:00-07:00",
-          "2010-03-04T06:54:00-07:00",
-          "2010-03-04T06:55:00-07:00",
-          "2010-03-04T06:56:00-07:00",
-          "2010-03-04T06:57:00-07:00",
-          "2010-03-04T06:58:00-07:00",
-          "2010-03-04T06:59:00-07:00",
-          "2010-03-04T07:00:00-07:00",
-          "2010-03-04T07:01:00-07:00",
-          "2010-03-04T07:02:00-07:00",
-          "2010-03-04T07:03:00-07:00",
-          "2010-03-04T07:04:00-07:00",
-          "2010-03-04T07:05:00-07:00",
-          "2010-03-04T07:06:00-07:00",
-          "2010-03-04T07:07:00-07:00",
-          "2010-03-04T07:08:00-07:00",
-          "2010-03-04T07:09:00-07:00",
-          "2010-03-04T07:10:00-07:00",
-          "2010-03-04T07:11:00-07:00",
-          "2010-03-04T07:12:00-07:00",
-          "2010-03-04T07:13:00-07:00",
-          "2010-03-04T07:14:00-07:00",
-          "2010-03-04T07:15:00-07:00",
-          "2010-03-04T07:16:00-07:00",
-          "2010-03-04T07:17:00-07:00",
-          "2010-03-04T07:18:00-07:00",
-          "2010-03-04T07:19:00-07:00",
-          "2010-03-04T07:20:00-07:00",
-          "2010-03-04T07:21:00-07:00",
-          "2010-03-04T07:22:00-07:00",
-          "2010-03-04T07:23:00-07:00",
-          "2010-03-04T07:24:00-07:00",
-          "2010-03-04T07:25:00-07:00",
-          "2010-03-04T07:26:00-07:00",
-          "2010-03-04T07:27:00-07:00",
-          "2010-03-04T07:28:00-07:00",
-          "2010-03-04T07:29:00-07:00",
-          "2010-03-04T07:30:00-07:00",
-          "2010-03-04T07:31:00-07:00",
-          "2010-03-04T07:32:00-07:00",
-          "2010-03-04T07:33:00-07:00",
-          "2010-03-04T07:34:00-07:00",
-          "2010-03-04T07:35:00-07:00",
-          "2010-03-04T07:36:00-07:00",
-          "2010-03-04T07:37:00-07:00",
-          "2010-03-04T07:38:00-07:00",
-          "2010-03-04T07:39:00-07:00",
-          "2010-03-04T07:40:00-07:00",
-          "2010-03-04T07:41:00-07:00",
-          "2010-03-04T07:42:00-07:00",
-          "2010-03-04T07:43:00-07:00",
-          "2010-03-04T07:44:00-07:00",
-          "2010-03-04T07:45:00-07:00",
-          "2010-03-04T07:46:00-07:00",
-          "2010-03-04T07:47:00-07:00",
-          "2010-03-04T07:48:00-07:00",
-          "2010-03-04T07:49:00-07:00",
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-          "2010-03-04T07:51:00-07:00",
-          "2010-03-04T07:52:00-07:00",
-          "2010-03-04T07:53:00-07:00",
-          "2010-03-04T07:54:00-07:00",
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-          "2010-03-04T07:56:00-07:00",
-          "2010-03-04T07:57:00-07:00",
-          "2010-03-04T07:58:00-07:00",
-          "2010-03-04T07:59:00-07:00",
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-          "2010-03-04T08:04:00-07:00",
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-          "2010-03-04T08:07:00-07:00",
-          "2010-03-04T08:08:00-07:00",
-          "2010-03-04T08:09:00-07:00",
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-          "2010-03-04T08:11:00-07:00",
-          "2010-03-04T08:12:00-07:00",
-          "2010-03-04T08:13:00-07:00",
-          "2010-03-04T08:14:00-07:00",
-          "2010-03-04T08:15:00-07:00",
-          "2010-03-04T08:16:00-07:00",
-          "2010-03-04T08:17:00-07:00",
-          "2010-03-04T08:18:00-07:00",
-          "2010-03-04T08:19:00-07:00",
-          "2010-03-04T08:20:00-07:00",
-          "2010-03-04T08:21:00-07:00",
-          "2010-03-04T08:22:00-07:00",
-          "2010-03-04T08:23:00-07:00",
-          "2010-03-04T08:24:00-07:00",
-          "2010-03-04T08:25:00-07:00",
-          "2010-03-04T08:26:00-07:00",
-          "2010-03-04T08:27:00-07:00",
-          "2010-03-04T08:28:00-07:00",
-          "2010-03-04T08:29:00-07:00",
-          "2010-03-04T08:30:00-07:00",
-          "2010-03-04T08:31:00-07:00",
-          "2010-03-04T08:32:00-07:00",
-          "2010-03-04T08:33:00-07:00",
-          "2010-03-04T08:34:00-07:00",
-          "2010-03-04T08:35:00-07:00",
-          "2010-03-04T08:36:00-07:00",
-          "2010-03-04T08:37:00-07:00",
-          "2010-03-04T08:38:00-07:00",
-          "2010-03-04T08:39:00-07:00",
-          "2010-03-04T08:40:00-07:00",
-          "2010-03-04T08:41:00-07:00",
-          "2010-03-04T08:42:00-07:00",
-          "2010-03-04T08:43:00-07:00",
-          "2010-03-04T08:44:00-07:00",
-          "2010-03-04T08:45:00-07:00",
-          "2010-03-04T08:46:00-07:00",
-          "2010-03-04T08:47:00-07:00",
-          "2010-03-04T08:48:00-07:00",
-          "2010-03-04T08:49:00-07:00",
-          "2010-03-04T08:50:00-07:00",
-          "2010-03-04T08:51:00-07:00",
-          "2010-03-04T08:52:00-07:00",
-          "2010-03-04T08:53:00-07:00",
-          "2010-03-04T08:54:00-07:00",
-          "2010-03-04T08:55:00-07:00",
-          "2010-03-04T08:56:00-07:00",
-          "2010-03-04T08:57:00-07:00",
-          "2010-03-04T08:58:00-07:00",
-          "2010-03-04T08:59:00-07:00",
-          "2010-03-04T09:00:00-07:00",
-          "2010-03-04T09:01:00-07:00",
-          "2010-03-04T09:02:00-07:00",
-          "2010-03-04T09:03:00-07:00",
-          "2010-03-04T09:04:00-07:00",
-          "2010-03-04T09:05:00-07:00",
-          "2010-03-04T09:06:00-07:00",
-          "2010-03-04T09:07:00-07:00",
-          "2010-03-04T09:08:00-07:00",
-          "2010-03-04T09:09:00-07:00",
-          "2010-03-04T09:10:00-07:00",
-          "2010-03-04T09:11:00-07:00",
-          "2010-03-04T09:12:00-07:00",
-          "2010-03-04T09:13:00-07:00",
-          "2010-03-04T09:14:00-07:00",
-          "2010-03-04T09:15:00-07:00",
-          "2010-03-04T09:16:00-07:00",
-          "2010-03-04T09:17:00-07:00",
-          "2010-03-04T09:18:00-07:00",
-          "2010-03-04T09:19:00-07:00",
-          "2010-03-04T09:20:00-07:00",
-          "2010-03-04T09:21:00-07:00",
-          "2010-03-04T09:22:00-07:00",
-          "2010-03-04T09:23:00-07:00",
-          "2010-03-04T09:24:00-07:00",
-          "2010-03-04T09:25:00-07:00",
-          "2010-03-04T09:26:00-07:00",
-          "2010-03-04T09:27:00-07:00",
-          "2010-03-04T09:28:00-07:00",
-          "2010-03-04T09:29:00-07:00",
-          "2010-03-04T09:30:00-07:00",
-          "2010-03-04T09:31:00-07:00",
-          "2010-03-04T09:32:00-07:00",
-          "2010-03-04T09:33:00-07:00",
-          "2010-03-04T09:34:00-07:00",
-          "2010-03-04T09:35:00-07:00",
-          "2010-03-04T09:36:00-07:00",
-          "2010-03-04T09:37:00-07:00",
-          "2010-03-04T09:38:00-07:00",
-          "2010-03-04T09:39:00-07:00",
-          "2010-03-04T09:40:00-07:00",
-          "2010-03-04T09:41:00-07:00",
-          "2010-03-04T09:42:00-07:00",
-          "2010-03-04T09:43:00-07:00",
-          "2010-03-04T09:44:00-07:00",
-          "2010-03-04T09:45:00-07:00",
-          "2010-03-04T09:46:00-07:00",
-          "2010-03-04T09:47:00-07:00",
-          "2010-03-04T09:48:00-07:00",
-          "2010-03-04T09:49:00-07:00",
-          "2010-03-04T09:50:00-07:00",
-          "2010-03-04T09:51:00-07:00",
-          "2010-03-04T09:52:00-07:00",
-          "2010-03-04T09:53:00-07:00",
-          "2010-03-04T09:54:00-07:00",
-          "2010-03-04T09:55:00-07:00",
-          "2010-03-04T09:56:00-07:00",
-          "2010-03-04T09:57:00-07:00",
-          "2010-03-04T09:58:00-07:00",
-          "2010-03-04T09:59:00-07:00",
-          "2010-03-04T10:00:00-07:00",
-          "2010-03-04T10:01:00-07:00",
-          "2010-03-04T10:02:00-07:00",
-          "2010-03-04T10:03:00-07:00",
-          "2010-03-04T10:04:00-07:00",
-          "2010-03-04T10:05:00-07:00",
-          "2010-03-04T10:06:00-07:00",
-          "2010-03-04T10:07:00-07:00",
-          "2010-03-04T10:08:00-07:00",
-          "2010-03-04T10:09:00-07:00",
-          "2010-03-04T10:10:00-07:00",
-          "2010-03-04T10:11:00-07:00",
-          "2010-03-04T10:12:00-07:00",
-          "2010-03-04T10:13:00-07:00",
-          "2010-03-04T10:14:00-07:00",
-          "2010-03-04T10:15:00-07:00",
-          "2010-03-04T10:16:00-07:00",
-          "2010-03-04T10:17:00-07:00",
-          "2010-03-04T10:18:00-07:00",
-          "2010-03-04T10:19:00-07:00",
-          "2010-03-04T10:20:00-07:00",
-          "2010-03-04T10:21:00-07:00",
-          "2010-03-04T10:22:00-07:00",
-          "2010-03-04T10:23:00-07:00",
-          "2010-03-04T10:24:00-07:00",
-          "2010-03-04T10:25:00-07:00",
-          "2010-03-04T10:26:00-07:00",
-          "2010-03-04T10:27:00-07:00",
-          "2010-03-04T10:28:00-07:00",
-          "2010-03-04T10:29:00-07:00",
-          "2010-03-04T10:30:00-07:00",
-          "2010-03-04T10:31:00-07:00",
-          "2010-03-04T10:32:00-07:00",
-          "2010-03-04T10:33:00-07:00",
-          "2010-03-04T10:34:00-07:00",
-          "2010-03-04T10:35:00-07:00",
-          "2010-03-04T10:36:00-07:00",
-          "2010-03-04T10:37:00-07:00",
-          "2010-03-04T10:38:00-07:00",
-          "2010-03-04T10:39:00-07:00",
-          "2010-03-04T10:40:00-07:00",
-          "2010-03-04T10:41:00-07:00",
-          "2010-03-04T10:42:00-07:00",
-          "2010-03-04T10:43:00-07:00",
-          "2010-03-04T10:44:00-07:00",
-          "2010-03-04T10:45:00-07:00",
-          "2010-03-04T10:46:00-07:00",
-          "2010-03-04T10:47:00-07:00",
-          "2010-03-04T10:48:00-07:00",
-          "2010-03-04T10:49:00-07:00",
-          "2010-03-04T10:50:00-07:00",
-          "2010-03-04T10:51:00-07:00",
-          "2010-03-04T10:52:00-07:00",
-          "2010-03-04T10:53:00-07:00",
-          "2010-03-04T10:54:00-07:00",
-          "2010-03-04T10:55:00-07:00",
-          "2010-03-04T10:56:00-07:00",
-          "2010-03-04T10:57:00-07:00",
-          "2010-03-04T10:58:00-07:00",
-          "2010-03-04T10:59:00-07:00",
-          "2010-03-04T11:00:00-07:00",
-          "2010-03-04T11:01:00-07:00",
-          "2010-03-04T11:02:00-07:00",
-          "2010-03-04T11:03:00-07:00",
-          "2010-03-04T11:04:00-07:00",
-          "2010-03-04T11:05:00-07:00",
-          "2010-03-04T11:06:00-07:00",
-          "2010-03-04T11:07:00-07:00",
-          "2010-03-04T11:08:00-07:00",
-          "2010-03-04T11:09:00-07:00",
-          "2010-03-04T11:10:00-07:00",
-          "2010-03-04T11:11:00-07:00",
-          "2010-03-04T11:12:00-07:00",
-          "2010-03-04T11:13:00-07:00",
-          "2010-03-04T11:14:00-07:00",
-          "2010-03-04T11:15:00-07:00",
-          "2010-03-04T11:16:00-07:00",
-          "2010-03-04T11:17:00-07:00",
-          "2010-03-04T11:18:00-07:00",
-          "2010-03-04T11:19:00-07:00",
-          "2010-03-04T11:20:00-07:00",
-          "2010-03-04T11:21:00-07:00",
-          "2010-03-04T11:22:00-07:00",
-          "2010-03-04T11:23:00-07:00",
-          "2010-03-04T11:24:00-07:00",
-          "2010-03-04T11:25:00-07:00",
-          "2010-03-04T11:26:00-07:00",
-          "2010-03-04T11:27:00-07:00",
-          "2010-03-04T11:28:00-07:00",
-          "2010-03-04T11:29:00-07:00",
-          "2010-03-04T11:30:00-07:00",
-          "2010-03-04T11:31:00-07:00",
-          "2010-03-04T11:32:00-07:00",
-          "2010-03-04T11:33:00-07:00",
-          "2010-03-04T11:34:00-07:00",
-          "2010-03-04T11:35:00-07:00",
-          "2010-03-04T11:36:00-07:00",
-          "2010-03-04T11:37:00-07:00",
-          "2010-03-04T11:38:00-07:00",
-          "2010-03-04T11:39:00-07:00",
-          "2010-03-04T11:40:00-07:00",
-          "2010-03-04T11:41:00-07:00",
-          "2010-03-04T11:42:00-07:00",
-          "2010-03-04T11:43:00-07:00",
-          "2010-03-04T11:44:00-07:00",
-          "2010-03-04T11:45:00-07:00",
-          "2010-03-04T11:46:00-07:00",
-          "2010-03-04T11:47:00-07:00",
-          "2010-03-04T11:48:00-07:00",
-          "2010-03-04T11:49:00-07:00",
-          "2010-03-04T11:50:00-07:00",
-          "2010-03-04T11:51:00-07:00",
-          "2010-03-04T11:52:00-07:00",
-          "2010-03-04T11:53:00-07:00",
-          "2010-03-04T11:54:00-07:00",
-          "2010-03-04T11:55:00-07:00",
-          "2010-03-04T11:56:00-07:00",
-          "2010-03-04T11:57:00-07:00",
-          "2010-03-04T11:58:00-07:00",
-          "2010-03-04T11:59:00-07:00",
-          "2010-03-04T12:00:00-07:00",
-          "2010-03-04T12:01:00-07:00",
-          "2010-03-04T12:02:00-07:00",
-          "2010-03-04T12:03:00-07:00",
-          "2010-03-04T12:04:00-07:00",
-          "2010-03-04T12:05:00-07:00",
-          "2010-03-04T12:06:00-07:00",
-          "2010-03-04T12:07:00-07:00",
-          "2010-03-04T12:08:00-07:00",
-          "2010-03-04T12:09:00-07:00",
-          "2010-03-04T12:10:00-07:00",
-          "2010-03-04T12:11:00-07:00",
-          "2010-03-04T12:12:00-07:00",
-          "2010-03-04T12:13:00-07:00",
-          "2010-03-04T12:14:00-07:00",
-          "2010-03-04T12:15:00-07:00",
-          "2010-03-04T12:16:00-07:00",
-          "2010-03-04T12:17:00-07:00",
-          "2010-03-04T12:18:00-07:00",
-          "2010-03-04T12:19:00-07:00",
-          "2010-03-04T12:20:00-07:00",
-          "2010-03-04T12:21:00-07:00",
-          "2010-03-04T12:22:00-07:00",
-          "2010-03-04T12:23:00-07:00",
-          "2010-03-04T12:24:00-07:00",
-          "2010-03-04T12:25:00-07:00",
-          "2010-03-04T12:26:00-07:00",
-          "2010-03-04T12:27:00-07:00",
-          "2010-03-04T12:28:00-07:00",
-          "2010-03-04T12:29:00-07:00",
-          "2010-03-04T12:30:00-07:00",
-          "2010-03-04T12:31:00-07:00",
-          "2010-03-04T12:32:00-07:00",
-          "2010-03-04T12:33:00-07:00",
-          "2010-03-04T12:34:00-07:00",
-          "2010-03-04T12:35:00-07:00",
-          "2010-03-04T12:36:00-07:00",
-          "2010-03-04T12:37:00-07:00",
-          "2010-03-04T12:38:00-07:00",
-          "2010-03-04T12:39:00-07:00",
-          "2010-03-04T12:40:00-07:00",
-          "2010-03-04T12:41:00-07:00",
-          "2010-03-04T12:42:00-07:00",
-          "2010-03-04T12:43:00-07:00",
-          "2010-03-04T12:44:00-07:00",
-          "2010-03-04T12:45:00-07:00",
-          "2010-03-04T12:46:00-07:00",
-          "2010-03-04T12:47:00-07:00",
-          "2010-03-04T12:48:00-07:00",
-          "2010-03-04T12:49:00-07:00",
-          "2010-03-04T12:50:00-07:00",
-          "2010-03-04T12:51:00-07:00",
-          "2010-03-04T12:52:00-07:00",
-          "2010-03-04T12:53:00-07:00",
-          "2010-03-04T12:54:00-07:00",
-          "2010-03-04T12:55:00-07:00",
-          "2010-03-04T12:56:00-07:00",
-          "2010-03-04T12:57:00-07:00",
-          "2010-03-04T12:58:00-07:00",
-          "2010-03-04T12:59:00-07:00",
-          "2010-03-04T13:00:00-07:00",
-          "2010-03-04T13:01:00-07:00",
-          "2010-03-04T13:02:00-07:00",
-          "2010-03-04T13:03:00-07:00",
-          "2010-03-04T13:04:00-07:00",
-          "2010-03-04T13:05:00-07:00",
-          "2010-03-04T13:06:00-07:00",
-          "2010-03-04T13:07:00-07:00",
-          "2010-03-04T13:08:00-07:00",
-          "2010-03-04T13:09:00-07:00",
-          "2010-03-04T13:10:00-07:00",
-          "2010-03-04T13:11:00-07:00",
-          "2010-03-04T13:12:00-07:00",
-          "2010-03-04T13:13:00-07:00",
-          "2010-03-04T13:14:00-07:00",
-          "2010-03-04T13:15:00-07:00",
-          "2010-03-04T13:16:00-07:00",
-          "2010-03-04T13:17:00-07:00",
-          "2010-03-04T13:18:00-07:00",
-          "2010-03-04T13:19:00-07:00",
-          "2010-03-04T13:20:00-07:00",
-          "2010-03-04T13:21:00-07:00",
-          "2010-03-04T13:22:00-07:00",
-          "2010-03-04T13:23:00-07:00",
-          "2010-03-04T13:24:00-07:00",
-          "2010-03-04T13:25:00-07:00",
-          "2010-03-04T13:26:00-07:00",
-          "2010-03-04T13:27:00-07:00",
-          "2010-03-04T13:28:00-07:00",
-          "2010-03-04T13:29:00-07:00",
-          "2010-03-04T13:30:00-07:00",
-          "2010-03-04T13:31:00-07:00",
-          "2010-03-04T13:32:00-07:00",
-          "2010-03-04T13:33:00-07:00",
-          "2010-03-04T13:34:00-07:00",
-          "2010-03-04T13:35:00-07:00",
-          "2010-03-04T13:36:00-07:00",
-          "2010-03-04T13:37:00-07:00",
-          "2010-03-04T13:38:00-07:00",
-          "2010-03-04T13:39:00-07:00",
-          "2010-03-04T13:40:00-07:00",
-          "2010-03-04T13:41:00-07:00",
-          "2010-03-04T13:42:00-07:00",
-          "2010-03-04T13:43:00-07:00",
-          "2010-03-04T13:44:00-07:00",
-          "2010-03-04T13:45:00-07:00",
-          "2010-03-04T13:46:00-07:00",
-          "2010-03-04T13:47:00-07:00",
-          "2010-03-04T13:48:00-07:00",
-          "2010-03-04T13:49:00-07:00",
-          "2010-03-04T13:50:00-07:00",
-          "2010-03-04T13:51:00-07:00",
-          "2010-03-04T13:52:00-07:00",
-          "2010-03-04T13:53:00-07:00",
-          "2010-03-04T13:54:00-07:00",
-          "2010-03-04T13:55:00-07:00",
-          "2010-03-04T13:56:00-07:00",
-          "2010-03-04T13:57:00-07:00",
-          "2010-03-04T13:58:00-07:00",
-          "2010-03-04T13:59:00-07:00",
-          "2010-03-04T14:00:00-07:00",
-          "2010-03-04T14:01:00-07:00",
-          "2010-03-04T14:02:00-07:00",
-          "2010-03-04T14:03:00-07:00",
-          "2010-03-04T14:04:00-07:00",
-          "2010-03-04T14:05:00-07:00",
-          "2010-03-04T14:06:00-07:00",
-          "2010-03-04T14:07:00-07:00",
-          "2010-03-04T14:08:00-07:00",
-          "2010-03-04T14:09:00-07:00",
-          "2010-03-04T14:10:00-07:00",
-          "2010-03-04T14:11:00-07:00",
-          "2010-03-04T14:12:00-07:00",
-          "2010-03-04T14:13:00-07:00",
-          "2010-03-04T14:14:00-07:00",
-          "2010-03-04T14:15:00-07:00",
-          "2010-03-04T14:16:00-07:00",
-          "2010-03-04T14:17:00-07:00",
-          "2010-03-04T14:18:00-07:00",
-          "2010-03-04T14:19:00-07:00",
-          "2010-03-04T14:20:00-07:00",
-          "2010-03-04T14:21:00-07:00",
-          "2010-03-04T14:22:00-07:00",
-          "2010-03-04T14:23:00-07:00",
-          "2010-03-04T14:24:00-07:00",
-          "2010-03-04T14:25:00-07:00",
-          "2010-03-04T14:26:00-07:00",
-          "2010-03-04T14:27:00-07:00",
-          "2010-03-04T14:28:00-07:00",
-          "2010-03-04T14:29:00-07:00",
-          "2010-03-04T14:30:00-07:00",
-          "2010-03-04T14:31:00-07:00",
-          "2010-03-04T14:32:00-07:00",
-          "2010-03-04T14:33:00-07:00",
-          "2010-03-04T14:34:00-07:00",
-          "2010-03-04T14:35:00-07:00",
-          "2010-03-04T14:36:00-07:00",
-          "2010-03-04T14:37:00-07:00",
-          "2010-03-04T14:38:00-07:00",
-          "2010-03-04T14:39:00-07:00",
-          "2010-03-04T14:40:00-07:00",
-          "2010-03-04T14:41:00-07:00",
-          "2010-03-04T14:42:00-07:00",
-          "2010-03-04T14:43:00-07:00",
-          "2010-03-04T14:44:00-07:00",
-          "2010-03-04T14:45:00-07:00",
-          "2010-03-04T14:46:00-07:00",
-          "2010-03-04T14:47:00-07:00",
-          "2010-03-04T14:48:00-07:00",
-          "2010-03-04T14:49:00-07:00",
-          "2010-03-04T14:50:00-07:00",
-          "2010-03-04T14:51:00-07:00",
-          "2010-03-04T14:52:00-07:00",
-          "2010-03-04T14:53:00-07:00",
-          "2010-03-04T14:54:00-07:00",
-          "2010-03-04T14:55:00-07:00",
-          "2010-03-04T14:56:00-07:00",
-          "2010-03-04T14:57:00-07:00",
-          "2010-03-04T14:58:00-07:00",
-          "2010-03-04T14:59:00-07:00",
-          "2010-03-04T15:00:00-07:00",
-          "2010-03-04T15:01:00-07:00",
-          "2010-03-04T15:02:00-07:00",
-          "2010-03-04T15:03:00-07:00",
-          "2010-03-04T15:04:00-07:00",
-          "2010-03-04T15:05:00-07:00",
-          "2010-03-04T15:06:00-07:00",
-          "2010-03-04T15:07:00-07:00",
-          "2010-03-04T15:08:00-07:00",
-          "2010-03-04T15:09:00-07:00",
-          "2010-03-04T15:10:00-07:00",
-          "2010-03-04T15:11:00-07:00",
-          "2010-03-04T15:12:00-07:00",
-          "2010-03-04T15:13:00-07:00",
-          "2010-03-04T15:14:00-07:00",
-          "2010-03-04T15:15:00-07:00",
-          "2010-03-04T15:16:00-07:00",
-          "2010-03-04T15:17:00-07:00",
-          "2010-03-04T15:18:00-07:00",
-          "2010-03-04T15:19:00-07:00",
-          "2010-03-04T15:20:00-07:00",
-          "2010-03-04T15:21:00-07:00",
-          "2010-03-04T15:22:00-07:00",
-          "2010-03-04T15:23:00-07:00",
-          "2010-03-04T15:24:00-07:00",
-          "2010-03-04T15:25:00-07:00",
-          "2010-03-04T15:26:00-07:00",
-          "2010-03-04T15:27:00-07:00",
-          "2010-03-04T15:28:00-07:00",
-          "2010-03-04T15:29:00-07:00",
-          "2010-03-04T15:30:00-07:00",
-          "2010-03-04T15:31:00-07:00",
-          "2010-03-04T15:32:00-07:00",
-          "2010-03-04T15:33:00-07:00",
-          "2010-03-04T15:34:00-07:00",
-          "2010-03-04T15:35:00-07:00",
-          "2010-03-04T15:36:00-07:00",
-          "2010-03-04T15:37:00-07:00",
-          "2010-03-04T15:38:00-07:00",
-          "2010-03-04T15:39:00-07:00",
-          "2010-03-04T15:40:00-07:00",
-          "2010-03-04T15:41:00-07:00",
-          "2010-03-04T15:42:00-07:00",
-          "2010-03-04T15:43:00-07:00",
-          "2010-03-04T15:44:00-07:00",
-          "2010-03-04T15:45:00-07:00",
-          "2010-03-04T15:46:00-07:00",
-          "2010-03-04T15:47:00-07:00",
-          "2010-03-04T15:48:00-07:00",
-          "2010-03-04T15:49:00-07:00",
-          "2010-03-04T15:50:00-07:00",
-          "2010-03-04T15:51:00-07:00",
-          "2010-03-04T15:52:00-07:00",
-          "2010-03-04T15:53:00-07:00",
-          "2010-03-04T15:54:00-07:00",
-          "2010-03-04T15:55:00-07:00",
-          "2010-03-04T15:56:00-07:00",
-          "2010-03-04T15:57:00-07:00",
-          "2010-03-04T15:58:00-07:00",
-          "2010-03-04T15:59:00-07:00",
-          "2010-03-04T16:00:00-07:00",
-          "2010-03-04T16:01:00-07:00",
-          "2010-03-04T16:02:00-07:00",
-          "2010-03-04T16:03:00-07:00",
-          "2010-03-04T16:04:00-07:00",
-          "2010-03-04T16:05:00-07:00",
-          "2010-03-04T16:06:00-07:00",
-          "2010-03-04T16:07:00-07:00",
-          "2010-03-04T16:08:00-07:00",
-          "2010-03-04T16:09:00-07:00",
-          "2010-03-04T16:10:00-07:00",
-          "2010-03-04T16:11:00-07:00",
-          "2010-03-04T16:12:00-07:00",
-          "2010-03-04T16:13:00-07:00",
-          "2010-03-04T16:14:00-07:00",
-          "2010-03-04T16:15:00-07:00",
-          "2010-03-04T16:16:00-07:00",
-          "2010-03-04T16:17:00-07:00",
-          "2010-03-04T16:18:00-07:00",
-          "2010-03-04T16:19:00-07:00",
-          "2010-03-04T16:20:00-07:00",
-          "2010-03-04T16:21:00-07:00",
-          "2010-03-04T16:22:00-07:00",
-          "2010-03-04T16:23:00-07:00",
-          "2010-03-04T16:24:00-07:00",
-          "2010-03-04T16:25:00-07:00",
-          "2010-03-04T16:26:00-07:00",
-          "2010-03-04T16:27:00-07:00",
-          "2010-03-04T16:28:00-07:00",
-          "2010-03-04T16:29:00-07:00",
-          "2010-03-04T16:30:00-07:00",
-          "2010-03-04T16:31:00-07:00",
-          "2010-03-04T16:32:00-07:00",
-          "2010-03-04T16:33:00-07:00",
-          "2010-03-04T16:34:00-07:00",
-          "2010-03-04T16:35:00-07:00",
-          "2010-03-04T16:36:00-07:00",
-          "2010-03-04T16:37:00-07:00",
-          "2010-03-04T16:38:00-07:00",
-          "2010-03-04T16:39:00-07:00",
-          "2010-03-04T16:40:00-07:00",
-          "2010-03-04T16:41:00-07:00",
-          "2010-03-04T16:42:00-07:00",
-          "2010-03-04T16:43:00-07:00",
-          "2010-03-04T16:44:00-07:00",
-          "2010-03-04T16:45:00-07:00",
-          "2010-03-04T16:46:00-07:00",
-          "2010-03-04T16:47:00-07:00",
-          "2010-03-04T16:48:00-07:00",
-          "2010-03-04T16:49:00-07:00",
-          "2010-03-04T16:50:00-07:00",
-          "2010-03-04T16:51:00-07:00",
-          "2010-03-04T16:52:00-07:00",
-          "2010-03-04T16:53:00-07:00",
-          "2010-03-04T16:54:00-07:00",
-          "2010-03-04T16:55:00-07:00",
-          "2010-03-04T16:56:00-07:00",
-          "2010-03-04T16:57:00-07:00",
-          "2010-03-04T16:58:00-07:00",
-          "2010-03-04T16:59:00-07:00",
-          "2010-03-04T17:00:00-07:00",
-          "2010-03-04T17:01:00-07:00",
-          "2010-03-04T17:02:00-07:00",
-          "2010-03-04T17:03:00-07:00",
-          "2010-03-04T17:04:00-07:00",
-          "2010-03-04T17:05:00-07:00",
-          "2010-03-04T17:06:00-07:00",
-          "2010-03-04T17:07:00-07:00",
-          "2010-03-04T17:08:00-07:00",
-          "2010-03-04T17:09:00-07:00",
-          "2010-03-04T17:10:00-07:00",
-          "2010-03-04T17:11:00-07:00",
-          "2010-03-04T17:12:00-07:00",
-          "2010-03-04T17:13:00-07:00",
-          "2010-03-04T17:14:00-07:00",
-          "2010-03-04T17:15:00-07:00",
-          "2010-03-04T17:16:00-07:00",
-          "2010-03-04T17:17:00-07:00",
-          "2010-03-04T17:18:00-07:00",
-          "2010-03-04T17:19:00-07:00",
-          "2010-03-04T17:20:00-07:00",
-          "2010-03-04T17:21:00-07:00",
-          "2010-03-04T17:22:00-07:00",
-          "2010-03-04T17:23:00-07:00",
-          "2010-03-04T17:24:00-07:00",
-          "2010-03-04T17:25:00-07:00",
-          "2010-03-04T17:26:00-07:00",
-          "2010-03-04T17:27:00-07:00",
-          "2010-03-04T17:28:00-07:00",
-          "2010-03-04T17:29:00-07:00",
-          "2010-03-04T17:30:00-07:00",
-          "2010-03-04T17:31:00-07:00",
-          "2010-03-04T17:32:00-07:00",
-          "2010-03-04T17:33:00-07:00",
-          "2010-03-04T17:34:00-07:00",
-          "2010-03-04T17:35:00-07:00",
-          "2010-03-04T17:36:00-07:00",
-          "2010-03-04T17:37:00-07:00",
-          "2010-03-04T17:38:00-07:00",
-          "2010-03-04T17:39:00-07:00",
-          "2010-03-04T17:40:00-07:00",
-          "2010-03-04T17:41:00-07:00",
-          "2010-03-04T17:42:00-07:00",
-          "2010-03-04T17:43:00-07:00",
-          "2010-03-04T17:44:00-07:00",
-          "2010-03-04T17:45:00-07:00",
-          "2010-03-04T17:46:00-07:00",
-          "2010-03-04T17:47:00-07:00",
-          "2010-03-04T17:48:00-07:00",
-          "2010-03-04T17:49:00-07:00",
-          "2010-03-04T17:50:00-07:00",
-          "2010-03-04T17:51:00-07:00",
-          "2010-03-04T17:52:00-07:00",
-          "2010-03-04T17:53:00-07:00",
-          "2010-03-04T17:54:00-07:00",
-          "2010-03-04T17:55:00-07:00",
-          "2010-03-04T17:56:00-07:00",
-          "2010-03-04T17:57:00-07:00",
-          "2010-03-04T17:58:00-07:00",
-          "2010-03-04T17:59:00-07:00",
-          "2010-03-04T18:00:00-07:00",
-          "2010-03-04T18:01:00-07:00",
-          "2010-03-04T18:02:00-07:00",
-          "2010-03-04T18:03:00-07:00",
-          "2010-03-04T18:04:00-07:00",
-          "2010-03-04T18:05:00-07:00",
-          "2010-03-04T18:06:00-07:00",
-          "2010-03-04T18:07:00-07:00",
-          "2010-03-04T18:08:00-07:00",
-          "2010-03-04T18:09:00-07:00",
-          "2010-03-04T18:10:00-07:00",
-          "2010-03-04T18:11:00-07:00",
-          "2010-03-04T18:12:00-07:00",
-          "2010-03-04T18:13:00-07:00",
-          "2010-03-04T18:14:00-07:00",
-          "2010-03-04T18:15:00-07:00",
-          "2010-03-04T18:16:00-07:00",
-          "2010-03-04T18:17:00-07:00",
-          "2010-03-04T18:18:00-07:00",
-          "2010-03-04T18:19:00-07:00",
-          "2010-03-04T18:20:00-07:00",
-          "2010-03-04T18:21:00-07:00",
-          "2010-03-04T18:22:00-07:00",
-          "2010-03-04T18:23:00-07:00",
-          "2010-03-04T18:24:00-07:00",
-          "2010-03-04T18:25:00-07:00",
-          "2010-03-04T18:26:00-07:00",
-          "2010-03-04T18:27:00-07:00",
-          "2010-03-04T18:28:00-07:00",
-          "2010-03-04T18:29:00-07:00",
-          "2010-03-04T18:30:00-07:00",
-          "2010-03-04T18:31:00-07:00",
-          "2010-03-04T18:32:00-07:00",
-          "2010-03-04T18:33:00-07:00",
-          "2010-03-04T18:34:00-07:00",
-          "2010-03-04T18:35:00-07:00",
-          "2010-03-04T18:36:00-07:00",
-          "2010-03-04T18:37:00-07:00",
-          "2010-03-04T18:38:00-07:00",
-          "2010-03-04T18:39:00-07:00",
-          "2010-03-04T18:40:00-07:00",
-          "2010-03-04T18:41:00-07:00",
-          "2010-03-04T18:42:00-07:00",
-          "2010-03-04T18:43:00-07:00",
-          "2010-03-04T18:44:00-07:00",
-          "2010-03-04T18:45:00-07:00",
-          "2010-03-04T18:46:00-07:00",
-          "2010-03-04T18:47:00-07:00",
-          "2010-03-04T18:48:00-07:00",
-          "2010-03-04T18:49:00-07:00",
-          "2010-03-04T18:50:00-07:00",
-          "2010-03-04T18:51:00-07:00",
-          "2010-03-04T18:52:00-07:00",
-          "2010-03-04T18:53:00-07:00",
-          "2010-03-04T18:54:00-07:00",
-          "2010-03-04T18:55:00-07:00",
-          "2010-03-04T18:56:00-07:00",
-          "2010-03-04T18:57:00-07:00",
-          "2010-03-04T18:58:00-07:00",
-          "2010-03-04T18:59:00-07:00",
-          "2010-03-04T19:00:00-07:00",
-          "2010-03-04T19:01:00-07:00",
-          "2010-03-04T19:02:00-07:00",
-          "2010-03-04T19:03:00-07:00",
-          "2010-03-04T19:04:00-07:00",
-          "2010-03-04T19:05:00-07:00",
-          "2010-03-04T19:06:00-07:00",
-          "2010-03-04T19:07:00-07:00",
-          "2010-03-04T19:08:00-07:00",
-          "2010-03-04T19:09:00-07:00",
-          "2010-03-04T19:10:00-07:00",
-          "2010-03-04T19:11:00-07:00",
-          "2010-03-04T19:12:00-07:00",
-          "2010-03-04T19:13:00-07:00",
-          "2010-03-04T19:14:00-07:00",
-          "2010-03-04T19:15:00-07:00",
-          "2010-03-04T19:16:00-07:00",
-          "2010-03-04T19:17:00-07:00",
-          "2010-03-04T19:18:00-07:00",
-          "2010-03-04T19:19:00-07:00",
-          "2010-03-04T19:20:00-07:00",
-          "2010-03-04T19:21:00-07:00",
-          "2010-03-04T19:22:00-07:00",
-          "2010-03-04T19:23:00-07:00",
-          "2010-03-04T19:24:00-07:00",
-          "2010-03-04T19:25:00-07:00",
-          "2010-03-04T19:26:00-07:00",
-          "2010-03-04T19:27:00-07:00",
-          "2010-03-04T19:28:00-07:00",
-          "2010-03-04T19:29:00-07:00",
-          "2010-03-04T19:30:00-07:00",
-          "2010-03-04T19:31:00-07:00",
-          "2010-03-04T19:32:00-07:00",
-          "2010-03-04T19:33:00-07:00",
-          "2010-03-04T19:34:00-07:00",
-          "2010-03-04T19:35:00-07:00",
-          "2010-03-04T19:36:00-07:00",
-          "2010-03-04T19:37:00-07:00",
-          "2010-03-04T19:38:00-07:00",
-          "2010-03-04T19:39:00-07:00",
-          "2010-03-04T19:40:00-07:00",
-          "2010-03-04T19:41:00-07:00",
-          "2010-03-04T19:42:00-07:00",
-          "2010-03-04T19:43:00-07:00",
-          "2010-03-04T19:44:00-07:00",
-          "2010-03-04T19:45:00-07:00",
-          "2010-03-04T19:46:00-07:00",
-          "2010-03-04T19:47:00-07:00",
-          "2010-03-04T19:48:00-07:00",
-          "2010-03-04T19:49:00-07:00",
-          "2010-03-04T19:50:00-07:00",
-          "2010-03-04T19:51:00-07:00",
-          "2010-03-04T19:52:00-07:00",
-          "2010-03-04T19:53:00-07:00",
-          "2010-03-04T19:54:00-07:00",
-          "2010-03-04T19:55:00-07:00",
-          "2010-03-04T19:56:00-07:00",
-          "2010-03-04T19:57:00-07:00",
-          "2010-03-04T19:58:00-07:00",
-          "2010-03-04T19:59:00-07:00",
-          "2010-03-04T20:00:00-07:00",
-          "2010-03-04T20:01:00-07:00",
-          "2010-03-04T20:02:00-07:00",
-          "2010-03-04T20:03:00-07:00",
-          "2010-03-04T20:04:00-07:00",
-          "2010-03-04T20:05:00-07:00",
-          "2010-03-04T20:06:00-07:00",
-          "2010-03-04T20:07:00-07:00",
-          "2010-03-04T20:08:00-07:00",
-          "2010-03-04T20:09:00-07:00",
-          "2010-03-04T20:10:00-07:00",
-          "2010-03-04T20:11:00-07:00",
-          "2010-03-04T20:12:00-07:00",
-          "2010-03-04T20:13:00-07:00",
-          "2010-03-04T20:14:00-07:00",
-          "2010-03-04T20:15:00-07:00",
-          "2010-03-04T20:16:00-07:00",
-          "2010-03-04T20:17:00-07:00",
-          "2010-03-04T20:18:00-07:00",
-          "2010-03-04T20:19:00-07:00",
-          "2010-03-04T20:20:00-07:00",
-          "2010-03-04T20:21:00-07:00",
-          "2010-03-04T20:22:00-07:00",
-          "2010-03-04T20:23:00-07:00",
-          "2010-03-04T20:24:00-07:00",
-          "2010-03-04T20:25:00-07:00",
-          "2010-03-04T20:26:00-07:00",
-          "2010-03-04T20:27:00-07:00",
-          "2010-03-04T20:28:00-07:00",
-          "2010-03-04T20:29:00-07:00",
-          "2010-03-04T20:30:00-07:00",
-          "2010-03-04T20:31:00-07:00",
-          "2010-03-04T20:32:00-07:00",
-          "2010-03-04T20:33:00-07:00",
-          "2010-03-04T20:34:00-07:00",
-          "2010-03-04T20:35:00-07:00",
-          "2010-03-04T20:36:00-07:00",
-          "2010-03-04T20:37:00-07:00",
-          "2010-03-04T20:38:00-07:00",
-          "2010-03-04T20:39:00-07:00",
-          "2010-03-04T20:40:00-07:00",
-          "2010-03-04T20:41:00-07:00",
-          "2010-03-04T20:42:00-07:00",
-          "2010-03-04T20:43:00-07:00",
-          "2010-03-04T20:44:00-07:00",
-          "2010-03-04T20:45:00-07:00",
-          "2010-03-04T20:46:00-07:00",
-          "2010-03-04T20:47:00-07:00",
-          "2010-03-04T20:48:00-07:00",
-          "2010-03-04T20:49:00-07:00",
-          "2010-03-04T20:50:00-07:00",
-          "2010-03-04T20:51:00-07:00",
-          "2010-03-04T20:52:00-07:00",
-          "2010-03-04T20:53:00-07:00",
-          "2010-03-04T20:54:00-07:00",
-          "2010-03-04T20:55:00-07:00",
-          "2010-03-04T20:56:00-07:00",
-          "2010-03-04T20:57:00-07:00",
-          "2010-03-04T20:58:00-07:00",
-          "2010-03-04T20:59:00-07:00",
-          "2010-03-04T21:00:00-07:00",
-          "2010-03-04T21:01:00-07:00",
-          "2010-03-04T21:02:00-07:00",
-          "2010-03-04T21:03:00-07:00",
-          "2010-03-04T21:04:00-07:00",
-          "2010-03-04T21:05:00-07:00",
-          "2010-03-04T21:06:00-07:00",
-          "2010-03-04T21:07:00-07:00",
-          "2010-03-04T21:08:00-07:00",
-          "2010-03-04T21:09:00-07:00",
-          "2010-03-04T21:10:00-07:00",
-          "2010-03-04T21:11:00-07:00",
-          "2010-03-04T21:12:00-07:00",
-          "2010-03-04T21:13:00-07:00",
-          "2010-03-04T21:14:00-07:00",
-          "2010-03-04T21:15:00-07:00",
-          "2010-03-04T21:16:00-07:00",
-          "2010-03-04T21:17:00-07:00",
-          "2010-03-04T21:18:00-07:00",
-          "2010-03-04T21:19:00-07:00",
-          "2010-03-04T21:20:00-07:00",
-          "2010-03-04T21:21:00-07:00",
-          "2010-03-04T21:22:00-07:00",
-          "2010-03-04T21:23:00-07:00",
-          "2010-03-04T21:24:00-07:00",
-          "2010-03-04T21:25:00-07:00",
-          "2010-03-04T21:26:00-07:00",
-          "2010-03-04T21:27:00-07:00",
-          "2010-03-04T21:28:00-07:00",
-          "2010-03-04T21:29:00-07:00",
-          "2010-03-04T21:30:00-07:00",
-          "2010-03-04T21:31:00-07:00",
-          "2010-03-04T21:32:00-07:00",
-          "2010-03-04T21:33:00-07:00",
-          "2010-03-04T21:34:00-07:00",
-          "2010-03-04T21:35:00-07:00",
-          "2010-03-04T21:36:00-07:00",
-          "2010-03-04T21:37:00-07:00",
-          "2010-03-04T21:38:00-07:00",
-          "2010-03-04T21:39:00-07:00",
-          "2010-03-04T21:40:00-07:00",
-          "2010-03-04T21:41:00-07:00",
-          "2010-03-04T21:42:00-07:00",
-          "2010-03-04T21:43:00-07:00",
-          "2010-03-04T21:44:00-07:00",
-          "2010-03-04T21:45:00-07:00",
-          "2010-03-04T21:46:00-07:00",
-          "2010-03-04T21:47:00-07:00",
-          "2010-03-04T21:48:00-07:00",
-          "2010-03-04T21:49:00-07:00",
-          "2010-03-04T21:50:00-07:00",
-          "2010-03-04T21:51:00-07:00",
-          "2010-03-04T21:52:00-07:00",
-          "2010-03-04T21:53:00-07:00",
-          "2010-03-04T21:54:00-07:00",
-          "2010-03-04T21:55:00-07:00",
-          "2010-03-04T21:56:00-07:00",
-          "2010-03-04T21:57:00-07:00",
-          "2010-03-04T21:58:00-07:00",
-          "2010-03-04T21:59:00-07:00",
-          "2010-03-04T22:00:00-07:00",
-          "2010-03-04T22:01:00-07:00",
-          "2010-03-04T22:02:00-07:00",
-          "2010-03-04T22:03:00-07:00",
-          "2010-03-04T22:04:00-07:00",
-          "2010-03-04T22:05:00-07:00",
-          "2010-03-04T22:06:00-07:00",
-          "2010-03-04T22:07:00-07:00",
-          "2010-03-04T22:08:00-07:00",
-          "2010-03-04T22:09:00-07:00",
-          "2010-03-04T22:10:00-07:00",
-          "2010-03-04T22:11:00-07:00",
-          "2010-03-04T22:12:00-07:00",
-          "2010-03-04T22:13:00-07:00",
-          "2010-03-04T22:14:00-07:00",
-          "2010-03-04T22:15:00-07:00",
-          "2010-03-04T22:16:00-07:00",
-          "2010-03-04T22:17:00-07:00",
-          "2010-03-04T22:18:00-07:00",
-          "2010-03-04T22:19:00-07:00",
-          "2010-03-04T22:20:00-07:00",
-          "2010-03-04T22:21:00-07:00",
-          "2010-03-04T22:22:00-07:00",
-          "2010-03-04T22:23:00-07:00",
-          "2010-03-04T22:24:00-07:00",
-          "2010-03-04T22:25:00-07:00",
-          "2010-03-04T22:26:00-07:00",
-          "2010-03-04T22:27:00-07:00",
-          "2010-03-04T22:28:00-07:00",
-          "2010-03-04T22:29:00-07:00",
-          "2010-03-04T22:30:00-07:00",
-          "2010-03-04T22:31:00-07:00",
-          "2010-03-04T22:32:00-07:00",
-          "2010-03-04T22:33:00-07:00",
-          "2010-03-04T22:34:00-07:00",
-          "2010-03-04T22:35:00-07:00",
-          "2010-03-04T22:36:00-07:00",
-          "2010-03-04T22:37:00-07:00",
-          "2010-03-04T22:38:00-07:00",
-          "2010-03-04T22:39:00-07:00",
-          "2010-03-04T22:40:00-07:00",
-          "2010-03-04T22:41:00-07:00",
-          "2010-03-04T22:42:00-07:00",
-          "2010-03-04T22:43:00-07:00",
-          "2010-03-04T22:44:00-07:00",
-          "2010-03-04T22:45:00-07:00",
-          "2010-03-04T22:46:00-07:00",
-          "2010-03-04T22:47:00-07:00",
-          "2010-03-04T22:48:00-07:00",
-          "2010-03-04T22:49:00-07:00",
-          "2010-03-04T22:50:00-07:00",
-          "2010-03-04T22:51:00-07:00",
-          "2010-03-04T22:52:00-07:00",
-          "2010-03-04T22:53:00-07:00",
-          "2010-03-04T22:54:00-07:00",
-          "2010-03-04T22:55:00-07:00",
-          "2010-03-04T22:56:00-07:00",
-          "2010-03-04T22:57:00-07:00",
-          "2010-03-04T22:58:00-07:00",
-          "2010-03-04T22:59:00-07:00",
-          "2010-03-04T23:00:00-07:00",
-          "2010-03-04T23:01:00-07:00",
-          "2010-03-04T23:02:00-07:00",
-          "2010-03-04T23:03:00-07:00",
-          "2010-03-04T23:04:00-07:00",
-          "2010-03-04T23:05:00-07:00",
-          "2010-03-04T23:06:00-07:00",
-          "2010-03-04T23:07:00-07:00",
-          "2010-03-04T23:08:00-07:00",
-          "2010-03-04T23:09:00-07:00",
-          "2010-03-04T23:10:00-07:00",
-          "2010-03-04T23:11:00-07:00",
-          "2010-03-04T23:12:00-07:00",
-          "2010-03-04T23:13:00-07:00",
-          "2010-03-04T23:14:00-07:00",
-          "2010-03-04T23:15:00-07:00",
-          "2010-03-04T23:16:00-07:00",
-          "2010-03-04T23:17:00-07:00",
-          "2010-03-04T23:18:00-07:00",
-          "2010-03-04T23:19:00-07:00",
-          "2010-03-04T23:20:00-07:00",
-          "2010-03-04T23:21:00-07:00",
-          "2010-03-04T23:22:00-07:00",
-          "2010-03-04T23:23:00-07:00",
-          "2010-03-04T23:24:00-07:00",
-          "2010-03-04T23:25:00-07:00",
-          "2010-03-04T23:26:00-07:00",
-          "2010-03-04T23:27:00-07:00",
-          "2010-03-04T23:28:00-07:00",
-          "2010-03-04T23:29:00-07:00",
-          "2010-03-04T23:30:00-07:00",
-          "2010-03-04T23:31:00-07:00",
-          "2010-03-04T23:32:00-07:00",
-          "2010-03-04T23:33:00-07:00",
-          "2010-03-04T23:34:00-07:00",
-          "2010-03-04T23:35:00-07:00",
-          "2010-03-04T23:36:00-07:00",
-          "2010-03-04T23:37:00-07:00",
-          "2010-03-04T23:38:00-07:00",
-          "2010-03-04T23:39:00-07:00",
-          "2010-03-04T23:40:00-07:00",
-          "2010-03-04T23:41:00-07:00",
-          "2010-03-04T23:42:00-07:00",
-          "2010-03-04T23:43:00-07:00",
-          "2010-03-04T23:44:00-07:00",
-          "2010-03-04T23:45:00-07:00",
-          "2010-03-04T23:46:00-07:00",
-          "2010-03-04T23:47:00-07:00",
-          "2010-03-04T23:48:00-07:00",
-          "2010-03-04T23:49:00-07:00",
-          "2010-03-04T23:50:00-07:00",
-          "2010-03-04T23:51:00-07:00",
-          "2010-03-04T23:52:00-07:00",
-          "2010-03-04T23:53:00-07:00",
-          "2010-03-04T23:54:00-07:00",
-          "2010-03-04T23:55:00-07:00",
-          "2010-03-04T23:56:00-07:00",
-          "2010-03-04T23:57:00-07:00",
-          "2010-03-04T23:58:00-07:00",
-          "2010-03-04T23:59:00-07:00",
-          "2010-03-05T00:00:00-07:00",
-          "2010-03-05T00:01:00-07:00",
-          "2010-03-05T00:02:00-07:00",
-          "2010-03-05T00:03:00-07:00",
-          "2010-03-05T00:04:00-07:00",
-          "2010-03-05T00:05:00-07:00",
-          "2010-03-05T00:06:00-07:00",
-          "2010-03-05T00:07:00-07:00",
-          "2010-03-05T00:08:00-07:00",
-          "2010-03-05T00:09:00-07:00",
-          "2010-03-05T00:10:00-07:00",
-          "2010-03-05T00:11:00-07:00",
-          "2010-03-05T00:12:00-07:00",
-          "2010-03-05T00:13:00-07:00",
-          "2010-03-05T00:14:00-07:00",
-          "2010-03-05T00:15:00-07:00",
-          "2010-03-05T00:16:00-07:00",
-          "2010-03-05T00:17:00-07:00",
-          "2010-03-05T00:18:00-07:00",
-          "2010-03-05T00:19:00-07:00",
-          "2010-03-05T00:20:00-07:00",
-          "2010-03-05T00:21:00-07:00",
-          "2010-03-05T00:22:00-07:00",
-          "2010-03-05T00:23:00-07:00",
-          "2010-03-05T00:24:00-07:00",
-          "2010-03-05T00:25:00-07:00",
-          "2010-03-05T00:26:00-07:00",
-          "2010-03-05T00:27:00-07:00",
-          "2010-03-05T00:28:00-07:00",
-          "2010-03-05T00:29:00-07:00",
-          "2010-03-05T00:30:00-07:00",
-          "2010-03-05T00:31:00-07:00",
-          "2010-03-05T00:32:00-07:00",
-          "2010-03-05T00:33:00-07:00",
-          "2010-03-05T00:34:00-07:00",
-          "2010-03-05T00:35:00-07:00",
-          "2010-03-05T00:36:00-07:00",
-          "2010-03-05T00:37:00-07:00",
-          "2010-03-05T00:38:00-07:00",
-          "2010-03-05T00:39:00-07:00",
-          "2010-03-05T00:40:00-07:00",
-          "2010-03-05T00:41:00-07:00",
-          "2010-03-05T00:42:00-07:00",
-          "2010-03-05T00:43:00-07:00",
-          "2010-03-05T00:44:00-07:00",
-          "2010-03-05T00:45:00-07:00",
-          "2010-03-05T00:46:00-07:00",
-          "2010-03-05T00:47:00-07:00",
-          "2010-03-05T00:48:00-07:00",
-          "2010-03-05T00:49:00-07:00",
-          "2010-03-05T00:50:00-07:00",
-          "2010-03-05T00:51:00-07:00",
-          "2010-03-05T00:52:00-07:00",
-          "2010-03-05T00:53:00-07:00",
-          "2010-03-05T00:54:00-07:00",
-          "2010-03-05T00:55:00-07:00",
-          "2010-03-05T00:56:00-07:00",
-          "2010-03-05T00:57:00-07:00",
-          "2010-03-05T00:58:00-07:00",
-          "2010-03-05T00:59:00-07:00",
-          "2010-03-05T01:00:00-07:00",
-          "2010-03-05T01:01:00-07:00",
-          "2010-03-05T01:02:00-07:00",
-          "2010-03-05T01:03:00-07:00",
-          "2010-03-05T01:04:00-07:00",
-          "2010-03-05T01:05:00-07:00",
-          "2010-03-05T01:06:00-07:00",
-          "2010-03-05T01:07:00-07:00",
-          "2010-03-05T01:08:00-07:00",
-          "2010-03-05T01:09:00-07:00",
-          "2010-03-05T01:10:00-07:00",
-          "2010-03-05T01:11:00-07:00",
-          "2010-03-05T01:12:00-07:00",
-          "2010-03-05T01:13:00-07:00",
-          "2010-03-05T01:14:00-07:00",
-          "2010-03-05T01:15:00-07:00",
-          "2010-03-05T01:16:00-07:00",
-          "2010-03-05T01:17:00-07:00",
-          "2010-03-05T01:18:00-07:00",
-          "2010-03-05T01:19:00-07:00",
-          "2010-03-05T01:20:00-07:00",
-          "2010-03-05T01:21:00-07:00",
-          "2010-03-05T01:22:00-07:00",
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-          "2010-03-05T01:24:00-07:00",
-          "2010-03-05T01:25:00-07:00",
-          "2010-03-05T01:26:00-07:00",
-          "2010-03-05T01:27:00-07:00",
-          "2010-03-05T01:28:00-07:00",
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-          "2010-03-05T01:33:00-07:00",
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-          "2010-03-05T01:39:00-07:00",
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-          "2010-03-05T01:52:00-07:00",
-          "2010-03-05T01:53:00-07:00",
-          "2010-03-05T01:54:00-07:00",
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-          "2010-03-05T02:16:00-07:00",
-          "2010-03-05T02:17:00-07:00",
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-          "2010-03-05T05:13:00-07:00",
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-          "2010-03-05T07:35:00-07:00",
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-          "2010-03-05T07:39:00-07:00",
-          "2010-03-05T07:40:00-07:00",
-          "2010-03-05T07:41:00-07:00",
-          "2010-03-05T07:42:00-07:00",
-          "2010-03-05T07:43:00-07:00",
-          "2010-03-05T07:44:00-07:00",
-          "2010-03-05T07:45:00-07:00",
-          "2010-03-05T07:46:00-07:00",
-          "2010-03-05T07:47:00-07:00",
-          "2010-03-05T07:48:00-07:00",
-          "2010-03-05T07:49:00-07:00",
-          "2010-03-05T07:50:00-07:00",
-          "2010-03-05T07:51:00-07:00",
-          "2010-03-05T07:52:00-07:00",
-          "2010-03-05T07:53:00-07:00",
-          "2010-03-05T07:54:00-07:00",
-          "2010-03-05T07:55:00-07:00",
-          "2010-03-05T07:56:00-07:00",
-          "2010-03-05T07:57:00-07:00",
-          "2010-03-05T07:58:00-07:00",
-          "2010-03-05T07:59:00-07:00",
-          "2010-03-05T08:00:00-07:00",
-          "2010-03-05T08:01:00-07:00",
-          "2010-03-05T08:02:00-07:00",
-          "2010-03-05T08:03:00-07:00",
-          "2010-03-05T08:04:00-07:00",
-          "2010-03-05T08:05:00-07:00",
-          "2010-03-05T08:06:00-07:00",
-          "2010-03-05T08:07:00-07:00",
-          "2010-03-05T08:08:00-07:00",
-          "2010-03-05T08:09:00-07:00",
-          "2010-03-05T08:10:00-07:00",
-          "2010-03-05T08:11:00-07:00",
-          "2010-03-05T08:12:00-07:00",
-          "2010-03-05T08:13:00-07:00",
-          "2010-03-05T08:14:00-07:00",
-          "2010-03-05T08:15:00-07:00",
-          "2010-03-05T08:16:00-07:00",
-          "2010-03-05T08:17:00-07:00",
-          "2010-03-05T08:18:00-07:00",
-          "2010-03-05T08:19:00-07:00",
-          "2010-03-05T08:20:00-07:00",
-          "2010-03-05T08:21:00-07:00",
-          "2010-03-05T08:22:00-07:00",
-          "2010-03-05T08:23:00-07:00",
-          "2010-03-05T08:24:00-07:00",
-          "2010-03-05T08:25:00-07:00",
-          "2010-03-05T08:26:00-07:00",
-          "2010-03-05T08:27:00-07:00",
-          "2010-03-05T08:28:00-07:00",
-          "2010-03-05T08:29:00-07:00",
-          "2010-03-05T08:30:00-07:00",
-          "2010-03-05T08:31:00-07:00",
-          "2010-03-05T08:32:00-07:00",
-          "2010-03-05T08:33:00-07:00",
-          "2010-03-05T08:34:00-07:00",
-          "2010-03-05T08:35:00-07:00",
-          "2010-03-05T08:36:00-07:00",
-          "2010-03-05T08:37:00-07:00",
-          "2010-03-05T08:38:00-07:00",
-          "2010-03-05T08:39:00-07:00",
-          "2010-03-05T08:40:00-07:00",
-          "2010-03-05T08:41:00-07:00",
-          "2010-03-05T08:42:00-07:00",
-          "2010-03-05T08:43:00-07:00",
-          "2010-03-05T08:44:00-07:00",
-          "2010-03-05T08:45:00-07:00",
-          "2010-03-05T08:46:00-07:00",
-          "2010-03-05T08:47:00-07:00",
-          "2010-03-05T08:48:00-07:00",
-          "2010-03-05T08:49:00-07:00",
-          "2010-03-05T08:50:00-07:00",
-          "2010-03-05T08:51:00-07:00",
-          "2010-03-05T08:52:00-07:00",
-          "2010-03-05T08:53:00-07:00",
-          "2010-03-05T08:54:00-07:00",
-          "2010-03-05T08:55:00-07:00",
-          "2010-03-05T08:56:00-07:00",
-          "2010-03-05T08:57:00-07:00",
-          "2010-03-05T08:58:00-07:00",
-          "2010-03-05T08:59:00-07:00",
-          "2010-03-05T09:00:00-07:00",
-          "2010-03-05T09:01:00-07:00",
-          "2010-03-05T09:02:00-07:00",
-          "2010-03-05T09:03:00-07:00",
-          "2010-03-05T09:04:00-07:00",
-          "2010-03-05T09:05:00-07:00",
-          "2010-03-05T09:06:00-07:00",
-          "2010-03-05T09:07:00-07:00",
-          "2010-03-05T09:08:00-07:00",
-          "2010-03-05T09:09:00-07:00",
-          "2010-03-05T09:10:00-07:00",
-          "2010-03-05T09:11:00-07:00",
-          "2010-03-05T09:12:00-07:00",
-          "2010-03-05T09:13:00-07:00",
-          "2010-03-05T09:14:00-07:00",
-          "2010-03-05T09:15:00-07:00",
-          "2010-03-05T09:16:00-07:00",
-          "2010-03-05T09:17:00-07:00",
-          "2010-03-05T09:18:00-07:00",
-          "2010-03-05T09:19:00-07:00",
-          "2010-03-05T09:20:00-07:00",
-          "2010-03-05T09:21:00-07:00",
-          "2010-03-05T09:22:00-07:00",
-          "2010-03-05T09:23:00-07:00",
-          "2010-03-05T09:24:00-07:00",
-          "2010-03-05T09:25:00-07:00",
-          "2010-03-05T09:26:00-07:00",
-          "2010-03-05T09:27:00-07:00",
-          "2010-03-05T09:28:00-07:00",
-          "2010-03-05T09:29:00-07:00",
-          "2010-03-05T09:30:00-07:00",
-          "2010-03-05T09:31:00-07:00",
-          "2010-03-05T09:32:00-07:00",
-          "2010-03-05T09:33:00-07:00",
-          "2010-03-05T09:34:00-07:00",
-          "2010-03-05T09:35:00-07:00",
-          "2010-03-05T09:36:00-07:00",
-          "2010-03-05T09:37:00-07:00",
-          "2010-03-05T09:38:00-07:00",
-          "2010-03-05T09:39:00-07:00",
-          "2010-03-05T09:40:00-07:00",
-          "2010-03-05T09:41:00-07:00",
-          "2010-03-05T09:42:00-07:00",
-          "2010-03-05T09:43:00-07:00",
-          "2010-03-05T09:44:00-07:00",
-          "2010-03-05T09:45:00-07:00",
-          "2010-03-05T09:46:00-07:00",
-          "2010-03-05T09:47:00-07:00",
-          "2010-03-05T09:48:00-07:00",
-          "2010-03-05T09:49:00-07:00",
-          "2010-03-05T09:50:00-07:00",
-          "2010-03-05T09:51:00-07:00",
-          "2010-03-05T09:52:00-07:00",
-          "2010-03-05T09:53:00-07:00",
-          "2010-03-05T09:54:00-07:00",
-          "2010-03-05T09:55:00-07:00",
-          "2010-03-05T09:56:00-07:00",
-          "2010-03-05T09:57:00-07:00",
-          "2010-03-05T09:58:00-07:00",
-          "2010-03-05T09:59:00-07:00",
-          "2010-03-05T10:00:00-07:00",
-          "2010-03-05T10:01:00-07:00",
-          "2010-03-05T10:02:00-07:00",
-          "2010-03-05T10:03:00-07:00",
-          "2010-03-05T10:04:00-07:00",
-          "2010-03-05T10:05:00-07:00",
-          "2010-03-05T10:06:00-07:00",
-          "2010-03-05T10:07:00-07:00",
-          "2010-03-05T10:08:00-07:00",
-          "2010-03-05T10:09:00-07:00",
-          "2010-03-05T10:10:00-07:00",
-          "2010-03-05T10:11:00-07:00",
-          "2010-03-05T10:12:00-07:00",
-          "2010-03-05T10:13:00-07:00",
-          "2010-03-05T10:14:00-07:00",
-          "2010-03-05T10:15:00-07:00",
-          "2010-03-05T10:16:00-07:00",
-          "2010-03-05T10:17:00-07:00",
-          "2010-03-05T10:18:00-07:00",
-          "2010-03-05T10:19:00-07:00",
-          "2010-03-05T10:20:00-07:00",
-          "2010-03-05T10:21:00-07:00",
-          "2010-03-05T10:22:00-07:00",
-          "2010-03-05T10:23:00-07:00",
-          "2010-03-05T10:24:00-07:00",
-          "2010-03-05T10:25:00-07:00",
-          "2010-03-05T10:26:00-07:00",
-          "2010-03-05T10:27:00-07:00",
-          "2010-03-05T10:28:00-07:00",
-          "2010-03-05T10:29:00-07:00",
-          "2010-03-05T10:30:00-07:00",
-          "2010-03-05T10:31:00-07:00",
-          "2010-03-05T10:32:00-07:00",
-          "2010-03-05T10:33:00-07:00",
-          "2010-03-05T10:34:00-07:00",
-          "2010-03-05T10:35:00-07:00",
-          "2010-03-05T10:36:00-07:00",
-          "2010-03-05T10:37:00-07:00",
-          "2010-03-05T10:38:00-07:00",
-          "2010-03-05T10:39:00-07:00",
-          "2010-03-05T10:40:00-07:00",
-          "2010-03-05T10:41:00-07:00",
-          "2010-03-05T10:42:00-07:00",
-          "2010-03-05T10:43:00-07:00",
-          "2010-03-05T10:44:00-07:00",
-          "2010-03-05T10:45:00-07:00",
-          "2010-03-05T10:46:00-07:00",
-          "2010-03-05T10:47:00-07:00",
-          "2010-03-05T10:48:00-07:00",
-          "2010-03-05T10:49:00-07:00",
-          "2010-03-05T10:50:00-07:00",
-          "2010-03-05T10:51:00-07:00",
-          "2010-03-05T10:52:00-07:00",
-          "2010-03-05T10:53:00-07:00",
-          "2010-03-05T10:54:00-07:00",
-          "2010-03-05T10:55:00-07:00",
-          "2010-03-05T10:56:00-07:00",
-          "2010-03-05T10:57:00-07:00",
-          "2010-03-05T10:58:00-07:00",
-          "2010-03-05T10:59:00-07:00",
-          "2010-03-05T11:00:00-07:00",
-          "2010-03-05T11:01:00-07:00",
-          "2010-03-05T11:02:00-07:00",
-          "2010-03-05T11:03:00-07:00",
-          "2010-03-05T11:04:00-07:00",
-          "2010-03-05T11:05:00-07:00",
-          "2010-03-05T11:06:00-07:00",
-          "2010-03-05T11:07:00-07:00",
-          "2010-03-05T11:08:00-07:00",
-          "2010-03-05T11:09:00-07:00",
-          "2010-03-05T11:10:00-07:00",
-          "2010-03-05T11:11:00-07:00",
-          "2010-03-05T11:12:00-07:00",
-          "2010-03-05T11:13:00-07:00",
-          "2010-03-05T11:14:00-07:00",
-          "2010-03-05T11:15:00-07:00",
-          "2010-03-05T11:16:00-07:00",
-          "2010-03-05T11:17:00-07:00",
-          "2010-03-05T11:18:00-07:00",
-          "2010-03-05T11:19:00-07:00",
-          "2010-03-05T11:20:00-07:00",
-          "2010-03-05T11:21:00-07:00",
-          "2010-03-05T11:22:00-07:00",
-          "2010-03-05T11:23:00-07:00",
-          "2010-03-05T11:24:00-07:00",
-          "2010-03-05T11:25:00-07:00",
-          "2010-03-05T11:26:00-07:00",
-          "2010-03-05T11:27:00-07:00",
-          "2010-03-05T11:28:00-07:00",
-          "2010-03-05T11:29:00-07:00",
-          "2010-03-05T11:30:00-07:00",
-          "2010-03-05T11:31:00-07:00",
-          "2010-03-05T11:32:00-07:00",
-          "2010-03-05T11:33:00-07:00",
-          "2010-03-05T11:34:00-07:00",
-          "2010-03-05T11:35:00-07:00",
-          "2010-03-05T11:36:00-07:00",
-          "2010-03-05T11:37:00-07:00",
-          "2010-03-05T11:38:00-07:00",
-          "2010-03-05T11:39:00-07:00",
-          "2010-03-05T11:40:00-07:00",
-          "2010-03-05T11:41:00-07:00",
-          "2010-03-05T11:42:00-07:00",
-          "2010-03-05T11:43:00-07:00",
-          "2010-03-05T11:44:00-07:00",
-          "2010-03-05T11:45:00-07:00",
-          "2010-03-05T11:46:00-07:00",
-          "2010-03-05T11:47:00-07:00",
-          "2010-03-05T11:48:00-07:00",
-          "2010-03-05T11:49:00-07:00",
-          "2010-03-05T11:50:00-07:00",
-          "2010-03-05T11:51:00-07:00",
-          "2010-03-05T11:52:00-07:00",
-          "2010-03-05T11:53:00-07:00",
-          "2010-03-05T11:54:00-07:00",
-          "2010-03-05T11:55:00-07:00",
-          "2010-03-05T11:56:00-07:00",
-          "2010-03-05T11:57:00-07:00",
-          "2010-03-05T11:58:00-07:00",
-          "2010-03-05T11:59:00-07:00",
-          "2010-03-05T12:00:00-07:00",
-          "2010-03-05T12:01:00-07:00",
-          "2010-03-05T12:02:00-07:00",
-          "2010-03-05T12:03:00-07:00",
-          "2010-03-05T12:04:00-07:00",
-          "2010-03-05T12:05:00-07:00",
-          "2010-03-05T12:06:00-07:00",
-          "2010-03-05T12:07:00-07:00",
-          "2010-03-05T12:08:00-07:00",
-          "2010-03-05T12:09:00-07:00",
-          "2010-03-05T12:10:00-07:00",
-          "2010-03-05T12:11:00-07:00",
-          "2010-03-05T12:12:00-07:00",
-          "2010-03-05T12:13:00-07:00",
-          "2010-03-05T12:14:00-07:00",
-          "2010-03-05T12:15:00-07:00",
-          "2010-03-05T12:16:00-07:00",
-          "2010-03-05T12:17:00-07:00",
-          "2010-03-05T12:18:00-07:00",
-          "2010-03-05T12:19:00-07:00",
-          "2010-03-05T12:20:00-07:00",
-          "2010-03-05T12:21:00-07:00",
-          "2010-03-05T12:22:00-07:00",
-          "2010-03-05T12:23:00-07:00",
-          "2010-03-05T12:24:00-07:00",
-          "2010-03-05T12:25:00-07:00",
-          "2010-03-05T12:26:00-07:00",
-          "2010-03-05T12:27:00-07:00",
-          "2010-03-05T12:28:00-07:00",
-          "2010-03-05T12:29:00-07:00",
-          "2010-03-05T12:30:00-07:00",
-          "2010-03-05T12:31:00-07:00",
-          "2010-03-05T12:32:00-07:00",
-          "2010-03-05T12:33:00-07:00",
-          "2010-03-05T12:34:00-07:00",
-          "2010-03-05T12:35:00-07:00",
-          "2010-03-05T12:36:00-07:00",
-          "2010-03-05T12:37:00-07:00",
-          "2010-03-05T12:38:00-07:00",
-          "2010-03-05T12:39:00-07:00",
-          "2010-03-05T12:40:00-07:00",
-          "2010-03-05T12:41:00-07:00",
-          "2010-03-05T12:42:00-07:00",
-          "2010-03-05T12:43:00-07:00",
-          "2010-03-05T12:44:00-07:00",
-          "2010-03-05T12:45:00-07:00",
-          "2010-03-05T12:46:00-07:00",
-          "2010-03-05T12:47:00-07:00",
-          "2010-03-05T12:48:00-07:00",
-          "2010-03-05T12:49:00-07:00",
-          "2010-03-05T12:50:00-07:00",
-          "2010-03-05T12:51:00-07:00",
-          "2010-03-05T12:52:00-07:00",
-          "2010-03-05T12:53:00-07:00",
-          "2010-03-05T12:54:00-07:00",
-          "2010-03-05T12:55:00-07:00",
-          "2010-03-05T12:56:00-07:00",
-          "2010-03-05T12:57:00-07:00",
-          "2010-03-05T12:58:00-07:00",
-          "2010-03-05T12:59:00-07:00",
-          "2010-03-05T13:00:00-07:00",
-          "2010-03-05T13:01:00-07:00",
-          "2010-03-05T13:02:00-07:00",
-          "2010-03-05T13:03:00-07:00",
-          "2010-03-05T13:04:00-07:00",
-          "2010-03-05T13:05:00-07:00",
-          "2010-03-05T13:06:00-07:00",
-          "2010-03-05T13:07:00-07:00",
-          "2010-03-05T13:08:00-07:00",
-          "2010-03-05T13:09:00-07:00",
-          "2010-03-05T13:10:00-07:00",
-          "2010-03-05T13:11:00-07:00",
-          "2010-03-05T13:12:00-07:00",
-          "2010-03-05T13:13:00-07:00",
-          "2010-03-05T13:14:00-07:00",
-          "2010-03-05T13:15:00-07:00",
-          "2010-03-05T13:16:00-07:00",
-          "2010-03-05T13:17:00-07:00",
-          "2010-03-05T13:18:00-07:00",
-          "2010-03-05T13:19:00-07:00",
-          "2010-03-05T13:20:00-07:00",
-          "2010-03-05T13:21:00-07:00",
-          "2010-03-05T13:22:00-07:00",
-          "2010-03-05T13:23:00-07:00",
-          "2010-03-05T13:24:00-07:00",
-          "2010-03-05T13:25:00-07:00",
-          "2010-03-05T13:26:00-07:00",
-          "2010-03-05T13:27:00-07:00",
-          "2010-03-05T13:28:00-07:00",
-          "2010-03-05T13:29:00-07:00",
-          "2010-03-05T13:30:00-07:00",
-          "2010-03-05T13:31:00-07:00",
-          "2010-03-05T13:32:00-07:00",
-          "2010-03-05T13:33:00-07:00",
-          "2010-03-05T13:34:00-07:00",
-          "2010-03-05T13:35:00-07:00",
-          "2010-03-05T13:36:00-07:00",
-          "2010-03-05T13:37:00-07:00",
-          "2010-03-05T13:38:00-07:00",
-          "2010-03-05T13:39:00-07:00",
-          "2010-03-05T13:40:00-07:00",
-          "2010-03-05T13:41:00-07:00",
-          "2010-03-05T13:42:00-07:00",
-          "2010-03-05T13:43:00-07:00",
-          "2010-03-05T13:44:00-07:00",
-          "2010-03-05T13:45:00-07:00",
-          "2010-03-05T13:46:00-07:00",
-          "2010-03-05T13:47:00-07:00",
-          "2010-03-05T13:48:00-07:00",
-          "2010-03-05T13:49:00-07:00",
-          "2010-03-05T13:50:00-07:00",
-          "2010-03-05T13:51:00-07:00",
-          "2010-03-05T13:52:00-07:00",
-          "2010-03-05T13:53:00-07:00",
-          "2010-03-05T13:54:00-07:00",
-          "2010-03-05T13:55:00-07:00",
-          "2010-03-05T13:56:00-07:00",
-          "2010-03-05T13:57:00-07:00",
-          "2010-03-05T13:58:00-07:00",
-          "2010-03-05T13:59:00-07:00",
-          "2010-03-05T14:00:00-07:00",
-          "2010-03-05T14:01:00-07:00",
-          "2010-03-05T14:02:00-07:00",
-          "2010-03-05T14:03:00-07:00",
-          "2010-03-05T14:04:00-07:00",
-          "2010-03-05T14:05:00-07:00",
-          "2010-03-05T14:06:00-07:00",
-          "2010-03-05T14:07:00-07:00",
-          "2010-03-05T14:08:00-07:00",
-          "2010-03-05T14:09:00-07:00",
-          "2010-03-05T14:10:00-07:00",
-          "2010-03-05T14:11:00-07:00",
-          "2010-03-05T14:12:00-07:00",
-          "2010-03-05T14:13:00-07:00",
-          "2010-03-05T14:14:00-07:00",
-          "2010-03-05T14:15:00-07:00",
-          "2010-03-05T14:16:00-07:00",
-          "2010-03-05T14:17:00-07:00",
-          "2010-03-05T14:18:00-07:00",
-          "2010-03-05T14:19:00-07:00",
-          "2010-03-05T14:20:00-07:00",
-          "2010-03-05T14:21:00-07:00",
-          "2010-03-05T14:22:00-07:00",
-          "2010-03-05T14:23:00-07:00",
-          "2010-03-05T14:24:00-07:00",
-          "2010-03-05T14:25:00-07:00",
-          "2010-03-05T14:26:00-07:00",
-          "2010-03-05T14:27:00-07:00",
-          "2010-03-05T14:28:00-07:00",
-          "2010-03-05T14:29:00-07:00",
-          "2010-03-05T14:30:00-07:00",
-          "2010-03-05T14:31:00-07:00",
-          "2010-03-05T14:32:00-07:00",
-          "2010-03-05T14:33:00-07:00",
-          "2010-03-05T14:34:00-07:00",
-          "2010-03-05T14:35:00-07:00",
-          "2010-03-05T14:36:00-07:00",
-          "2010-03-05T14:37:00-07:00",
-          "2010-03-05T14:38:00-07:00",
-          "2010-03-05T14:39:00-07:00",
-          "2010-03-05T14:40:00-07:00",
-          "2010-03-05T14:41:00-07:00",
-          "2010-03-05T14:42:00-07:00",
-          "2010-03-05T14:43:00-07:00",
-          "2010-03-05T14:44:00-07:00",
-          "2010-03-05T14:45:00-07:00",
-          "2010-03-05T14:46:00-07:00",
-          "2010-03-05T14:47:00-07:00",
-          "2010-03-05T14:48:00-07:00",
-          "2010-03-05T14:49:00-07:00",
-          "2010-03-05T14:50:00-07:00",
-          "2010-03-05T14:51:00-07:00",
-          "2010-03-05T14:52:00-07:00",
-          "2010-03-05T14:53:00-07:00",
-          "2010-03-05T14:54:00-07:00",
-          "2010-03-05T14:55:00-07:00",
-          "2010-03-05T14:56:00-07:00",
-          "2010-03-05T14:57:00-07:00",
-          "2010-03-05T14:58:00-07:00",
-          "2010-03-05T14:59:00-07:00",
-          "2010-03-05T15:00:00-07:00",
-          "2010-03-05T15:01:00-07:00",
-          "2010-03-05T15:02:00-07:00",
-          "2010-03-05T15:03:00-07:00",
-          "2010-03-05T15:04:00-07:00",
-          "2010-03-05T15:05:00-07:00",
-          "2010-03-05T15:06:00-07:00",
-          "2010-03-05T15:07:00-07:00",
-          "2010-03-05T15:08:00-07:00",
-          "2010-03-05T15:09:00-07:00",
-          "2010-03-05T15:10:00-07:00",
-          "2010-03-05T15:11:00-07:00",
-          "2010-03-05T15:12:00-07:00",
-          "2010-03-05T15:13:00-07:00",
-          "2010-03-05T15:14:00-07:00",
-          "2010-03-05T15:15:00-07:00",
-          "2010-03-05T15:16:00-07:00",
-          "2010-03-05T15:17:00-07:00",
-          "2010-03-05T15:18:00-07:00",
-          "2010-03-05T15:19:00-07:00",
-          "2010-03-05T15:20:00-07:00",
-          "2010-03-05T15:21:00-07:00",
-          "2010-03-05T15:22:00-07:00",
-          "2010-03-05T15:23:00-07:00",
-          "2010-03-05T15:24:00-07:00",
-          "2010-03-05T15:25:00-07:00",
-          "2010-03-05T15:26:00-07:00",
-          "2010-03-05T15:27:00-07:00",
-          "2010-03-05T15:28:00-07:00",
-          "2010-03-05T15:29:00-07:00",
-          "2010-03-05T15:30:00-07:00",
-          "2010-03-05T15:31:00-07:00",
-          "2010-03-05T15:32:00-07:00",
-          "2010-03-05T15:33:00-07:00",
-          "2010-03-05T15:34:00-07:00",
-          "2010-03-05T15:35:00-07:00",
-          "2010-03-05T15:36:00-07:00",
-          "2010-03-05T15:37:00-07:00",
-          "2010-03-05T15:38:00-07:00",
-          "2010-03-05T15:39:00-07:00",
-          "2010-03-05T15:40:00-07:00",
-          "2010-03-05T15:41:00-07:00",
-          "2010-03-05T15:42:00-07:00",
-          "2010-03-05T15:43:00-07:00",
-          "2010-03-05T15:44:00-07:00",
-          "2010-03-05T15:45:00-07:00",
-          "2010-03-05T15:46:00-07:00",
-          "2010-03-05T15:47:00-07:00",
-          "2010-03-05T15:48:00-07:00",
-          "2010-03-05T15:49:00-07:00",
-          "2010-03-05T15:50:00-07:00",
-          "2010-03-05T15:51:00-07:00",
-          "2010-03-05T15:52:00-07:00",
-          "2010-03-05T15:53:00-07:00",
-          "2010-03-05T15:54:00-07:00",
-          "2010-03-05T15:55:00-07:00",
-          "2010-03-05T15:56:00-07:00",
-          "2010-03-05T15:57:00-07:00",
-          "2010-03-05T15:58:00-07:00",
-          "2010-03-05T15:59:00-07:00",
-          "2010-03-05T16:00:00-07:00",
-          "2010-03-05T16:01:00-07:00",
-          "2010-03-05T16:02:00-07:00",
-          "2010-03-05T16:03:00-07:00",
-          "2010-03-05T16:04:00-07:00",
-          "2010-03-05T16:05:00-07:00",
-          "2010-03-05T16:06:00-07:00",
-          "2010-03-05T16:07:00-07:00",
-          "2010-03-05T16:08:00-07:00",
-          "2010-03-05T16:09:00-07:00",
-          "2010-03-05T16:10:00-07:00",
-          "2010-03-05T16:11:00-07:00",
-          "2010-03-05T16:12:00-07:00",
-          "2010-03-05T16:13:00-07:00",
-          "2010-03-05T16:14:00-07:00",
-          "2010-03-05T16:15:00-07:00",
-          "2010-03-05T16:16:00-07:00",
-          "2010-03-05T16:17:00-07:00",
-          "2010-03-05T16:18:00-07:00",
-          "2010-03-05T16:19:00-07:00",
-          "2010-03-05T16:20:00-07:00",
-          "2010-03-05T16:21:00-07:00",
-          "2010-03-05T16:22:00-07:00",
-          "2010-03-05T16:23:00-07:00",
-          "2010-03-05T16:24:00-07:00",
-          "2010-03-05T16:25:00-07:00",
-          "2010-03-05T16:26:00-07:00",
-          "2010-03-05T16:27:00-07:00",
-          "2010-03-05T16:28:00-07:00",
-          "2010-03-05T16:29:00-07:00",
-          "2010-03-05T16:30:00-07:00",
-          "2010-03-05T16:31:00-07:00",
-          "2010-03-05T16:32:00-07:00",
-          "2010-03-05T16:33:00-07:00",
-          "2010-03-05T16:34:00-07:00",
-          "2010-03-05T16:35:00-07:00",
-          "2010-03-05T16:36:00-07:00",
-          "2010-03-05T16:37:00-07:00",
-          "2010-03-05T16:38:00-07:00",
-          "2010-03-05T16:39:00-07:00",
-          "2010-03-05T16:40:00-07:00",
-          "2010-03-05T16:41:00-07:00",
-          "2010-03-05T16:42:00-07:00",
-          "2010-03-05T16:43:00-07:00",
-          "2010-03-05T16:44:00-07:00",
-          "2010-03-05T16:45:00-07:00",
-          "2010-03-05T16:46:00-07:00",
-          "2010-03-05T16:47:00-07:00",
-          "2010-03-05T16:48:00-07:00",
-          "2010-03-05T16:49:00-07:00",
-          "2010-03-05T16:50:00-07:00",
-          "2010-03-05T16:51:00-07:00",
-          "2010-03-05T16:52:00-07:00",
-          "2010-03-05T16:53:00-07:00",
-          "2010-03-05T16:54:00-07:00",
-          "2010-03-05T16:55:00-07:00",
-          "2010-03-05T16:56:00-07:00",
-          "2010-03-05T16:57:00-07:00",
-          "2010-03-05T16:58:00-07:00",
-          "2010-03-05T16:59:00-07:00",
-          "2010-03-05T17:00:00-07:00",
-          "2010-03-05T17:01:00-07:00",
-          "2010-03-05T17:02:00-07:00",
-          "2010-03-05T17:03:00-07:00",
-          "2010-03-05T17:04:00-07:00",
-          "2010-03-05T17:05:00-07:00",
-          "2010-03-05T17:06:00-07:00",
-          "2010-03-05T17:07:00-07:00",
-          "2010-03-05T17:08:00-07:00",
-          "2010-03-05T17:09:00-07:00",
-          "2010-03-05T17:10:00-07:00",
-          "2010-03-05T17:11:00-07:00",
-          "2010-03-05T17:12:00-07:00",
-          "2010-03-05T17:13:00-07:00",
-          "2010-03-05T17:14:00-07:00",
-          "2010-03-05T17:15:00-07:00",
-          "2010-03-05T17:16:00-07:00",
-          "2010-03-05T17:17:00-07:00",
-          "2010-03-05T17:18:00-07:00",
-          "2010-03-05T17:19:00-07:00",
-          "2010-03-05T17:20:00-07:00",
-          "2010-03-05T17:21:00-07:00",
-          "2010-03-05T17:22:00-07:00",
-          "2010-03-05T17:23:00-07:00",
-          "2010-03-05T17:24:00-07:00",
-          "2010-03-05T17:25:00-07:00",
-          "2010-03-05T17:26:00-07:00",
-          "2010-03-05T17:27:00-07:00",
-          "2010-03-05T17:28:00-07:00",
-          "2010-03-05T17:29:00-07:00",
-          "2010-03-05T17:30:00-07:00",
-          "2010-03-05T17:31:00-07:00",
-          "2010-03-05T17:32:00-07:00",
-          "2010-03-05T17:33:00-07:00",
-          "2010-03-05T17:34:00-07:00",
-          "2010-03-05T17:35:00-07:00",
-          "2010-03-05T17:36:00-07:00",
-          "2010-03-05T17:37:00-07:00",
-          "2010-03-05T17:38:00-07:00",
-          "2010-03-05T17:39:00-07:00",
-          "2010-03-05T17:40:00-07:00",
-          "2010-03-05T17:41:00-07:00",
-          "2010-03-05T17:42:00-07:00",
-          "2010-03-05T17:43:00-07:00",
-          "2010-03-05T17:44:00-07:00",
-          "2010-03-05T17:45:00-07:00",
-          "2010-03-05T17:46:00-07:00",
-          "2010-03-05T17:47:00-07:00",
-          "2010-03-05T17:48:00-07:00",
-          "2010-03-05T17:49:00-07:00",
-          "2010-03-05T17:50:00-07:00",
-          "2010-03-05T17:51:00-07:00",
-          "2010-03-05T17:52:00-07:00",
-          "2010-03-05T17:53:00-07:00",
-          "2010-03-05T17:54:00-07:00",
-          "2010-03-05T17:55:00-07:00",
-          "2010-03-05T17:56:00-07:00",
-          "2010-03-05T17:57:00-07:00",
-          "2010-03-05T17:58:00-07:00",
-          "2010-03-05T17:59:00-07:00",
-          "2010-03-05T18:00:00-07:00",
-          "2010-03-05T18:01:00-07:00",
-          "2010-03-05T18:02:00-07:00",
-          "2010-03-05T18:03:00-07:00",
-          "2010-03-05T18:04:00-07:00",
-          "2010-03-05T18:05:00-07:00",
-          "2010-03-05T18:06:00-07:00",
-          "2010-03-05T18:07:00-07:00",
-          "2010-03-05T18:08:00-07:00",
-          "2010-03-05T18:09:00-07:00",
-          "2010-03-05T18:10:00-07:00",
-          "2010-03-05T18:11:00-07:00",
-          "2010-03-05T18:12:00-07:00",
-          "2010-03-05T18:13:00-07:00",
-          "2010-03-05T18:14:00-07:00",
-          "2010-03-05T18:15:00-07:00",
-          "2010-03-05T18:16:00-07:00",
-          "2010-03-05T18:17:00-07:00",
-          "2010-03-05T18:18:00-07:00",
-          "2010-03-05T18:19:00-07:00",
-          "2010-03-05T18:20:00-07:00",
-          "2010-03-05T18:21:00-07:00",
-          "2010-03-05T18:22:00-07:00",
-          "2010-03-05T18:23:00-07:00",
-          "2010-03-05T18:24:00-07:00",
-          "2010-03-05T18:25:00-07:00",
-          "2010-03-05T18:26:00-07:00",
-          "2010-03-05T18:27:00-07:00",
-          "2010-03-05T18:28:00-07:00",
-          "2010-03-05T18:29:00-07:00",
-          "2010-03-05T18:30:00-07:00",
-          "2010-03-05T18:31:00-07:00",
-          "2010-03-05T18:32:00-07:00",
-          "2010-03-05T18:33:00-07:00",
-          "2010-03-05T18:34:00-07:00",
-          "2010-03-05T18:35:00-07:00",
-          "2010-03-05T18:36:00-07:00",
-          "2010-03-05T18:37:00-07:00",
-          "2010-03-05T18:38:00-07:00",
-          "2010-03-05T18:39:00-07:00",
-          "2010-03-05T18:40:00-07:00",
-          "2010-03-05T18:41:00-07:00",
-          "2010-03-05T18:42:00-07:00",
-          "2010-03-05T18:43:00-07:00",
-          "2010-03-05T18:44:00-07:00",
-          "2010-03-05T18:45:00-07:00",
-          "2010-03-05T18:46:00-07:00",
-          "2010-03-05T18:47:00-07:00",
-          "2010-03-05T18:48:00-07:00",
-          "2010-03-05T18:49:00-07:00",
-          "2010-03-05T18:50:00-07:00",
-          "2010-03-05T18:51:00-07:00",
-          "2010-03-05T18:52:00-07:00",
-          "2010-03-05T18:53:00-07:00",
-          "2010-03-05T18:54:00-07:00",
-          "2010-03-05T18:55:00-07:00",
-          "2010-03-05T18:56:00-07:00",
-          "2010-03-05T18:57:00-07:00",
-          "2010-03-05T18:58:00-07:00",
-          "2010-03-05T18:59:00-07:00",
-          "2010-03-05T19:00:00-07:00",
-          "2010-03-05T19:01:00-07:00",
-          "2010-03-05T19:02:00-07:00",
-          "2010-03-05T19:03:00-07:00",
-          "2010-03-05T19:04:00-07:00",
-          "2010-03-05T19:05:00-07:00",
-          "2010-03-05T19:06:00-07:00",
-          "2010-03-05T19:07:00-07:00",
-          "2010-03-05T19:08:00-07:00",
-          "2010-03-05T19:09:00-07:00",
-          "2010-03-05T19:10:00-07:00",
-          "2010-03-05T19:11:00-07:00",
-          "2010-03-05T19:12:00-07:00",
-          "2010-03-05T19:13:00-07:00",
-          "2010-03-05T19:14:00-07:00",
-          "2010-03-05T19:15:00-07:00",
-          "2010-03-05T19:16:00-07:00",
-          "2010-03-05T19:17:00-07:00",
-          "2010-03-05T19:18:00-07:00",
-          "2010-03-05T19:19:00-07:00",
-          "2010-03-05T19:20:00-07:00",
-          "2010-03-05T19:21:00-07:00",
-          "2010-03-05T19:22:00-07:00",
-          "2010-03-05T19:23:00-07:00",
-          "2010-03-05T19:24:00-07:00",
-          "2010-03-05T19:25:00-07:00",
-          "2010-03-05T19:26:00-07:00",
-          "2010-03-05T19:27:00-07:00",
-          "2010-03-05T19:28:00-07:00",
-          "2010-03-05T19:29:00-07:00",
-          "2010-03-05T19:30:00-07:00",
-          "2010-03-05T19:31:00-07:00",
-          "2010-03-05T19:32:00-07:00",
-          "2010-03-05T19:33:00-07:00",
-          "2010-03-05T19:34:00-07:00",
-          "2010-03-05T19:35:00-07:00",
-          "2010-03-05T19:36:00-07:00",
-          "2010-03-05T19:37:00-07:00",
-          "2010-03-05T19:38:00-07:00",
-          "2010-03-05T19:39:00-07:00",
-          "2010-03-05T19:40:00-07:00",
-          "2010-03-05T19:41:00-07:00",
-          "2010-03-05T19:42:00-07:00",
-          "2010-03-05T19:43:00-07:00",
-          "2010-03-05T19:44:00-07:00",
-          "2010-03-05T19:45:00-07:00",
-          "2010-03-05T19:46:00-07:00",
-          "2010-03-05T19:47:00-07:00",
-          "2010-03-05T19:48:00-07:00",
-          "2010-03-05T19:49:00-07:00",
-          "2010-03-05T19:50:00-07:00",
-          "2010-03-05T19:51:00-07:00",
-          "2010-03-05T19:52:00-07:00",
-          "2010-03-05T19:53:00-07:00",
-          "2010-03-05T19:54:00-07:00",
-          "2010-03-05T19:55:00-07:00",
-          "2010-03-05T19:56:00-07:00",
-          "2010-03-05T19:57:00-07:00",
-          "2010-03-05T19:58:00-07:00",
-          "2010-03-05T19:59:00-07:00",
-          "2010-03-05T20:00:00-07:00",
-          "2010-03-05T20:01:00-07:00",
-          "2010-03-05T20:02:00-07:00",
-          "2010-03-05T20:03:00-07:00",
-          "2010-03-05T20:04:00-07:00",
-          "2010-03-05T20:05:00-07:00",
-          "2010-03-05T20:06:00-07:00",
-          "2010-03-05T20:07:00-07:00",
-          "2010-03-05T20:08:00-07:00",
-          "2010-03-05T20:09:00-07:00",
-          "2010-03-05T20:10:00-07:00",
-          "2010-03-05T20:11:00-07:00",
-          "2010-03-05T20:12:00-07:00",
-          "2010-03-05T20:13:00-07:00",
-          "2010-03-05T20:14:00-07:00",
-          "2010-03-05T20:15:00-07:00",
-          "2010-03-05T20:16:00-07:00",
-          "2010-03-05T20:17:00-07:00",
-          "2010-03-05T20:18:00-07:00",
-          "2010-03-05T20:19:00-07:00",
-          "2010-03-05T20:20:00-07:00",
-          "2010-03-05T20:21:00-07:00",
-          "2010-03-05T20:22:00-07:00",
-          "2010-03-05T20:23:00-07:00",
-          "2010-03-05T20:24:00-07:00",
-          "2010-03-05T20:25:00-07:00",
-          "2010-03-05T20:26:00-07:00",
-          "2010-03-05T20:27:00-07:00",
-          "2010-03-05T20:28:00-07:00",
-          "2010-03-05T20:29:00-07:00",
-          "2010-03-05T20:30:00-07:00",
-          "2010-03-05T20:31:00-07:00",
-          "2010-03-05T20:32:00-07:00",
-          "2010-03-05T20:33:00-07:00",
-          "2010-03-05T20:34:00-07:00",
-          "2010-03-05T20:35:00-07:00",
-          "2010-03-05T20:36:00-07:00",
-          "2010-03-05T20:37:00-07:00",
-          "2010-03-05T20:38:00-07:00",
-          "2010-03-05T20:39:00-07:00",
-          "2010-03-05T20:40:00-07:00",
-          "2010-03-05T20:41:00-07:00",
-          "2010-03-05T20:42:00-07:00",
-          "2010-03-05T20:43:00-07:00",
-          "2010-03-05T20:44:00-07:00",
-          "2010-03-05T20:45:00-07:00",
-          "2010-03-05T20:46:00-07:00",
-          "2010-03-05T20:47:00-07:00",
-          "2010-03-05T20:48:00-07:00",
-          "2010-03-05T20:49:00-07:00",
-          "2010-03-05T20:50:00-07:00",
-          "2010-03-05T20:51:00-07:00",
-          "2010-03-05T20:52:00-07:00",
-          "2010-03-05T20:53:00-07:00",
-          "2010-03-05T20:54:00-07:00",
-          "2010-03-05T20:55:00-07:00",
-          "2010-03-05T20:56:00-07:00",
-          "2010-03-05T20:57:00-07:00",
-          "2010-03-05T20:58:00-07:00",
-          "2010-03-05T20:59:00-07:00",
-          "2010-03-05T21:00:00-07:00",
-          "2010-03-05T21:01:00-07:00",
-          "2010-03-05T21:02:00-07:00",
-          "2010-03-05T21:03:00-07:00",
-          "2010-03-05T21:04:00-07:00",
-          "2010-03-05T21:05:00-07:00",
-          "2010-03-05T21:06:00-07:00",
-          "2010-03-05T21:07:00-07:00",
-          "2010-03-05T21:08:00-07:00",
-          "2010-03-05T21:09:00-07:00",
-          "2010-03-05T21:10:00-07:00",
-          "2010-03-05T21:11:00-07:00",
-          "2010-03-05T21:12:00-07:00",
-          "2010-03-05T21:13:00-07:00",
-          "2010-03-05T21:14:00-07:00",
-          "2010-03-05T21:15:00-07:00",
-          "2010-03-05T21:16:00-07:00",
-          "2010-03-05T21:17:00-07:00",
-          "2010-03-05T21:18:00-07:00",
-          "2010-03-05T21:19:00-07:00",
-          "2010-03-05T21:20:00-07:00",
-          "2010-03-05T21:21:00-07:00",
-          "2010-03-05T21:22:00-07:00",
-          "2010-03-05T21:23:00-07:00",
-          "2010-03-05T21:24:00-07:00",
-          "2010-03-05T21:25:00-07:00",
-          "2010-03-05T21:26:00-07:00",
-          "2010-03-05T21:27:00-07:00",
-          "2010-03-05T21:28:00-07:00",
-          "2010-03-05T21:29:00-07:00",
-          "2010-03-05T21:30:00-07:00",
-          "2010-03-05T21:31:00-07:00",
-          "2010-03-05T21:32:00-07:00",
-          "2010-03-05T21:33:00-07:00",
-          "2010-03-05T21:34:00-07:00",
-          "2010-03-05T21:35:00-07:00",
-          "2010-03-05T21:36:00-07:00",
-          "2010-03-05T21:37:00-07:00",
-          "2010-03-05T21:38:00-07:00",
-          "2010-03-05T21:39:00-07:00",
-          "2010-03-05T21:40:00-07:00",
-          "2010-03-05T21:41:00-07:00",
-          "2010-03-05T21:42:00-07:00",
-          "2010-03-05T21:43:00-07:00",
-          "2010-03-05T21:44:00-07:00",
-          "2010-03-05T21:45:00-07:00",
-          "2010-03-05T21:46:00-07:00",
-          "2010-03-05T21:47:00-07:00",
-          "2010-03-05T21:48:00-07:00",
-          "2010-03-05T21:49:00-07:00",
-          "2010-03-05T21:50:00-07:00",
-          "2010-03-05T21:51:00-07:00",
-          "2010-03-05T21:52:00-07:00",
-          "2010-03-05T21:53:00-07:00",
-          "2010-03-05T21:54:00-07:00",
-          "2010-03-05T21:55:00-07:00",
-          "2010-03-05T21:56:00-07:00",
-          "2010-03-05T21:57:00-07:00",
-          "2010-03-05T21:58:00-07:00",
-          "2010-03-05T21:59:00-07:00",
-          "2010-03-05T22:00:00-07:00",
-          "2010-03-05T22:01:00-07:00",
-          "2010-03-05T22:02:00-07:00",
-          "2010-03-05T22:03:00-07:00",
-          "2010-03-05T22:04:00-07:00",
-          "2010-03-05T22:05:00-07:00",
-          "2010-03-05T22:06:00-07:00",
-          "2010-03-05T22:07:00-07:00",
-          "2010-03-05T22:08:00-07:00",
-          "2010-03-05T22:09:00-07:00",
-          "2010-03-05T22:10:00-07:00",
-          "2010-03-05T22:11:00-07:00",
-          "2010-03-05T22:12:00-07:00",
-          "2010-03-05T22:13:00-07:00",
-          "2010-03-05T22:14:00-07:00",
-          "2010-03-05T22:15:00-07:00",
-          "2010-03-05T22:16:00-07:00",
-          "2010-03-05T22:17:00-07:00",
-          "2010-03-05T22:18:00-07:00",
-          "2010-03-05T22:19:00-07:00",
-          "2010-03-05T22:20:00-07:00",
-          "2010-03-05T22:21:00-07:00",
-          "2010-03-05T22:22:00-07:00",
-          "2010-03-05T22:23:00-07:00",
-          "2010-03-05T22:24:00-07:00",
-          "2010-03-05T22:25:00-07:00",
-          "2010-03-05T22:26:00-07:00",
-          "2010-03-05T22:27:00-07:00",
-          "2010-03-05T22:28:00-07:00",
-          "2010-03-05T22:29:00-07:00",
-          "2010-03-05T22:30:00-07:00",
-          "2010-03-05T22:31:00-07:00",
-          "2010-03-05T22:32:00-07:00",
-          "2010-03-05T22:33:00-07:00",
-          "2010-03-05T22:34:00-07:00",
-          "2010-03-05T22:35:00-07:00",
-          "2010-03-05T22:36:00-07:00",
-          "2010-03-05T22:37:00-07:00",
-          "2010-03-05T22:38:00-07:00",
-          "2010-03-05T22:39:00-07:00",
-          "2010-03-05T22:40:00-07:00",
-          "2010-03-05T22:41:00-07:00",
-          "2010-03-05T22:42:00-07:00",
-          "2010-03-05T22:43:00-07:00",
-          "2010-03-05T22:44:00-07:00",
-          "2010-03-05T22:45:00-07:00",
-          "2010-03-05T22:46:00-07:00",
-          "2010-03-05T22:47:00-07:00",
-          "2010-03-05T22:48:00-07:00",
-          "2010-03-05T22:49:00-07:00",
-          "2010-03-05T22:50:00-07:00",
-          "2010-03-05T22:51:00-07:00",
-          "2010-03-05T22:52:00-07:00",
-          "2010-03-05T22:53:00-07:00",
-          "2010-03-05T22:54:00-07:00",
-          "2010-03-05T22:55:00-07:00",
-          "2010-03-05T22:56:00-07:00",
-          "2010-03-05T22:57:00-07:00",
-          "2010-03-05T22:58:00-07:00",
-          "2010-03-05T22:59:00-07:00",
-          "2010-03-05T23:00:00-07:00",
-          "2010-03-05T23:01:00-07:00",
-          "2010-03-05T23:02:00-07:00",
-          "2010-03-05T23:03:00-07:00",
-          "2010-03-05T23:04:00-07:00",
-          "2010-03-05T23:05:00-07:00",
-          "2010-03-05T23:06:00-07:00",
-          "2010-03-05T23:07:00-07:00",
-          "2010-03-05T23:08:00-07:00",
-          "2010-03-05T23:09:00-07:00",
-          "2010-03-05T23:10:00-07:00",
-          "2010-03-05T23:11:00-07:00",
-          "2010-03-05T23:12:00-07:00",
-          "2010-03-05T23:13:00-07:00",
-          "2010-03-05T23:14:00-07:00",
-          "2010-03-05T23:15:00-07:00",
-          "2010-03-05T23:16:00-07:00",
-          "2010-03-05T23:17:00-07:00",
-          "2010-03-05T23:18:00-07:00",
-          "2010-03-05T23:19:00-07:00",
-          "2010-03-05T23:20:00-07:00",
-          "2010-03-05T23:21:00-07:00",
-          "2010-03-05T23:22:00-07:00",
-          "2010-03-05T23:23:00-07:00",
-          "2010-03-05T23:24:00-07:00",
-          "2010-03-05T23:25:00-07:00",
-          "2010-03-05T23:26:00-07:00",
-          "2010-03-05T23:27:00-07:00",
-          "2010-03-05T23:28:00-07:00",
-          "2010-03-05T23:29:00-07:00",
-          "2010-03-05T23:30:00-07:00",
-          "2010-03-05T23:31:00-07:00",
-          "2010-03-05T23:32:00-07:00",
-          "2010-03-05T23:33:00-07:00",
-          "2010-03-05T23:34:00-07:00",
-          "2010-03-05T23:35:00-07:00",
-          "2010-03-05T23:36:00-07:00",
-          "2010-03-05T23:37:00-07:00",
-          "2010-03-05T23:38:00-07:00",
-          "2010-03-05T23:39:00-07:00",
-          "2010-03-05T23:40:00-07:00",
-          "2010-03-05T23:41:00-07:00",
-          "2010-03-05T23:42:00-07:00",
-          "2010-03-05T23:43:00-07:00",
-          "2010-03-05T23:44:00-07:00",
-          "2010-03-05T23:45:00-07:00",
-          "2010-03-05T23:46:00-07:00",
-          "2010-03-05T23:47:00-07:00",
-          "2010-03-05T23:48:00-07:00",
-          "2010-03-05T23:49:00-07:00",
-          "2010-03-05T23:50:00-07:00",
-          "2010-03-05T23:51:00-07:00",
-          "2010-03-05T23:52:00-07:00",
-          "2010-03-05T23:53:00-07:00",
-          "2010-03-05T23:54:00-07:00",
-          "2010-03-05T23:55:00-07:00",
-          "2010-03-05T23:56:00-07:00",
-          "2010-03-05T23:57:00-07:00",
-          "2010-03-05T23:58:00-07:00",
-          "2010-03-05T23:59:00-07:00",
-          "2010-03-06T00:00:00-07:00",
-          "2010-03-06T00:01:00-07:00",
-          "2010-03-06T00:02:00-07:00",
-          "2010-03-06T00:03:00-07:00",
-          "2010-03-06T00:04:00-07:00",
-          "2010-03-06T00:05:00-07:00",
-          "2010-03-06T00:06:00-07:00",
-          "2010-03-06T00:07:00-07:00",
-          "2010-03-06T00:08:00-07:00",
-          "2010-03-06T00:09:00-07:00",
-          "2010-03-06T00:10:00-07:00",
-          "2010-03-06T00:11:00-07:00",
-          "2010-03-06T00:12:00-07:00",
-          "2010-03-06T00:13:00-07:00",
-          "2010-03-06T00:14:00-07:00",
-          "2010-03-06T00:15:00-07:00",
-          "2010-03-06T00:16:00-07:00",
-          "2010-03-06T00:17:00-07:00",
-          "2010-03-06T00:18:00-07:00",
-          "2010-03-06T00:19:00-07:00",
-          "2010-03-06T00:20:00-07:00",
-          "2010-03-06T00:21:00-07:00",
-          "2010-03-06T00:22:00-07:00",
-          "2010-03-06T00:23:00-07:00",
-          "2010-03-06T00:24:00-07:00",
-          "2010-03-06T00:25:00-07:00",
-          "2010-03-06T00:26:00-07:00",
-          "2010-03-06T00:27:00-07:00",
-          "2010-03-06T00:28:00-07:00",
-          "2010-03-06T00:29:00-07:00",
-          "2010-03-06T00:30:00-07:00",
-          "2010-03-06T00:31:00-07:00",
-          "2010-03-06T00:32:00-07:00",
-          "2010-03-06T00:33:00-07:00",
-          "2010-03-06T00:34:00-07:00",
-          "2010-03-06T00:35:00-07:00",
-          "2010-03-06T00:36:00-07:00",
-          "2010-03-06T00:37:00-07:00",
-          "2010-03-06T00:38:00-07:00",
-          "2010-03-06T00:39:00-07:00",
-          "2010-03-06T00:40:00-07:00",
-          "2010-03-06T00:41:00-07:00",
-          "2010-03-06T00:42:00-07:00",
-          "2010-03-06T00:43:00-07:00",
-          "2010-03-06T00:44:00-07:00",
-          "2010-03-06T00:45:00-07:00",
-          "2010-03-06T00:46:00-07:00",
-          "2010-03-06T00:47:00-07:00",
-          "2010-03-06T00:48:00-07:00",
-          "2010-03-06T00:49:00-07:00",
-          "2010-03-06T00:50:00-07:00",
-          "2010-03-06T00:51:00-07:00",
-          "2010-03-06T00:52:00-07:00",
-          "2010-03-06T00:53:00-07:00",
-          "2010-03-06T00:54:00-07:00",
-          "2010-03-06T00:55:00-07:00",
-          "2010-03-06T00:56:00-07:00",
-          "2010-03-06T00:57:00-07:00",
-          "2010-03-06T00:58:00-07:00",
-          "2010-03-06T00:59:00-07:00",
-          "2010-03-06T01:00:00-07:00",
-          "2010-03-06T01:01:00-07:00",
-          "2010-03-06T01:02:00-07:00",
-          "2010-03-06T01:03:00-07:00",
-          "2010-03-06T01:04:00-07:00",
-          "2010-03-06T01:05:00-07:00",
-          "2010-03-06T01:06:00-07:00",
-          "2010-03-06T01:07:00-07:00",
-          "2010-03-06T01:08:00-07:00",
-          "2010-03-06T01:09:00-07:00",
-          "2010-03-06T01:10:00-07:00",
-          "2010-03-06T01:11:00-07:00",
-          "2010-03-06T01:12:00-07:00",
-          "2010-03-06T01:13:00-07:00",
-          "2010-03-06T01:14:00-07:00",
-          "2010-03-06T01:15:00-07:00",
-          "2010-03-06T01:16:00-07:00",
-          "2010-03-06T01:17:00-07:00",
-          "2010-03-06T01:18:00-07:00",
-          "2010-03-06T01:19:00-07:00",
-          "2010-03-06T01:20:00-07:00",
-          "2010-03-06T01:21:00-07:00",
-          "2010-03-06T01:22:00-07:00",
-          "2010-03-06T01:23:00-07:00",
-          "2010-03-06T01:24:00-07:00",
-          "2010-03-06T01:25:00-07:00",
-          "2010-03-06T01:26:00-07:00",
-          "2010-03-06T01:27:00-07:00",
-          "2010-03-06T01:28:00-07:00",
-          "2010-03-06T01:29:00-07:00",
-          "2010-03-06T01:30:00-07:00",
-          "2010-03-06T01:31:00-07:00",
-          "2010-03-06T01:32:00-07:00",
-          "2010-03-06T01:33:00-07:00",
-          "2010-03-06T01:34:00-07:00",
-          "2010-03-06T01:35:00-07:00",
-          "2010-03-06T01:36:00-07:00",
-          "2010-03-06T01:37:00-07:00",
-          "2010-03-06T01:38:00-07:00",
-          "2010-03-06T01:39:00-07:00",
-          "2010-03-06T01:40:00-07:00",
-          "2010-03-06T01:41:00-07:00",
-          "2010-03-06T01:42:00-07:00",
-          "2010-03-06T01:43:00-07:00",
-          "2010-03-06T01:44:00-07:00",
-          "2010-03-06T01:45:00-07:00",
-          "2010-03-06T01:46:00-07:00",
-          "2010-03-06T01:47:00-07:00",
-          "2010-03-06T01:48:00-07:00",
-          "2010-03-06T01:49:00-07:00",
-          "2010-03-06T01:50:00-07:00",
-          "2010-03-06T01:51:00-07:00",
-          "2010-03-06T01:52:00-07:00",
-          "2010-03-06T01:53:00-07:00",
-          "2010-03-06T01:54:00-07:00",
-          "2010-03-06T01:55:00-07:00",
-          "2010-03-06T01:56:00-07:00",
-          "2010-03-06T01:57:00-07:00",
-          "2010-03-06T01:58:00-07:00",
-          "2010-03-06T01:59:00-07:00",
-          "2010-03-06T02:00:00-07:00",
-          "2010-03-06T02:01:00-07:00",
-          "2010-03-06T02:02:00-07:00",
-          "2010-03-06T02:03:00-07:00",
-          "2010-03-06T02:04:00-07:00",
-          "2010-03-06T02:05:00-07:00",
-          "2010-03-06T02:06:00-07:00",
-          "2010-03-06T02:07:00-07:00",
-          "2010-03-06T02:08:00-07:00",
-          "2010-03-06T02:09:00-07:00",
-          "2010-03-06T02:10:00-07:00",
-          "2010-03-06T02:11:00-07:00",
-          "2010-03-06T02:12:00-07:00",
-          "2010-03-06T02:13:00-07:00",
-          "2010-03-06T02:14:00-07:00",
-          "2010-03-06T02:15:00-07:00",
-          "2010-03-06T02:16:00-07:00",
-          "2010-03-06T02:17:00-07:00",
-          "2010-03-06T02:18:00-07:00",
-          "2010-03-06T02:19:00-07:00",
-          "2010-03-06T02:20:00-07:00",
-          "2010-03-06T02:21:00-07:00",
-          "2010-03-06T02:22:00-07:00",
-          "2010-03-06T02:23:00-07:00",
-          "2010-03-06T02:24:00-07:00",
-          "2010-03-06T02:25:00-07:00",
-          "2010-03-06T02:26:00-07:00",
-          "2010-03-06T02:27:00-07:00",
-          "2010-03-06T02:28:00-07:00",
-          "2010-03-06T02:29:00-07:00",
-          "2010-03-06T02:30:00-07:00",
-          "2010-03-06T02:31:00-07:00",
-          "2010-03-06T02:32:00-07:00",
-          "2010-03-06T02:33:00-07:00",
-          "2010-03-06T02:34:00-07:00",
-          "2010-03-06T02:35:00-07:00",
-          "2010-03-06T02:36:00-07:00",
-          "2010-03-06T02:37:00-07:00",
-          "2010-03-06T02:38:00-07:00",
-          "2010-03-06T02:39:00-07:00",
-          "2010-03-06T02:40:00-07:00",
-          "2010-03-06T02:41:00-07:00",
-          "2010-03-06T02:42:00-07:00",
-          "2010-03-06T02:43:00-07:00",
-          "2010-03-06T02:44:00-07:00",
-          "2010-03-06T02:45:00-07:00",
-          "2010-03-06T02:46:00-07:00",
-          "2010-03-06T02:47:00-07:00",
-          "2010-03-06T02:48:00-07:00",
-          "2010-03-06T02:49:00-07:00",
-          "2010-03-06T02:50:00-07:00",
-          "2010-03-06T02:51:00-07:00",
-          "2010-03-06T02:52:00-07:00",
-          "2010-03-06T02:53:00-07:00",
-          "2010-03-06T02:54:00-07:00",
-          "2010-03-06T02:55:00-07:00",
-          "2010-03-06T02:56:00-07:00",
-          "2010-03-06T02:57:00-07:00",
-          "2010-03-06T02:58:00-07:00",
-          "2010-03-06T02:59:00-07:00",
-          "2010-03-06T03:00:00-07:00",
-          "2010-03-06T03:01:00-07:00",
-          "2010-03-06T03:02:00-07:00",
-          "2010-03-06T03:03:00-07:00",
-          "2010-03-06T03:04:00-07:00",
-          "2010-03-06T03:05:00-07:00",
-          "2010-03-06T03:06:00-07:00",
-          "2010-03-06T03:07:00-07:00",
-          "2010-03-06T03:08:00-07:00",
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-          "2010-03-06T03:13:00-07:00",
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-          "2010-03-06T09:34:00-07:00",
-          "2010-03-06T09:35:00-07:00",
-          "2010-03-06T09:36:00-07:00",
-          "2010-03-06T09:37:00-07:00",
-          "2010-03-06T09:38:00-07:00",
-          "2010-03-06T09:39:00-07:00",
-          "2010-03-06T09:40:00-07:00",
-          "2010-03-06T09:41:00-07:00",
-          "2010-03-06T09:42:00-07:00",
-          "2010-03-06T09:43:00-07:00",
-          "2010-03-06T09:44:00-07:00",
-          "2010-03-06T09:45:00-07:00",
-          "2010-03-06T09:46:00-07:00",
-          "2010-03-06T09:47:00-07:00",
-          "2010-03-06T09:48:00-07:00",
-          "2010-03-06T09:49:00-07:00",
-          "2010-03-06T09:50:00-07:00",
-          "2010-03-06T09:51:00-07:00",
-          "2010-03-06T09:52:00-07:00",
-          "2010-03-06T09:53:00-07:00",
-          "2010-03-06T09:54:00-07:00",
-          "2010-03-06T09:55:00-07:00",
-          "2010-03-06T09:56:00-07:00",
-          "2010-03-06T09:57:00-07:00",
-          "2010-03-06T09:58:00-07:00",
-          "2010-03-06T09:59:00-07:00",
-          "2010-03-06T10:00:00-07:00",
-          "2010-03-06T10:01:00-07:00",
-          "2010-03-06T10:03:00-07:00",
-          "2010-03-06T13:31:00-07:00",
-          "2010-03-06T13:32:00-07:00",
-          "2010-03-06T13:33:00-07:00",
-          "2010-03-06T13:34:00-07:00",
-          "2010-03-06T13:35:00-07:00",
-          "2010-03-06T13:36:00-07:00",
-          "2010-03-06T13:37:00-07:00",
-          "2010-03-06T13:38:00-07:00",
-          "2010-03-06T13:39:00-07:00",
-          "2010-03-06T13:40:00-07:00",
-          "2010-03-06T13:41:00-07:00",
-          "2010-03-06T13:42:00-07:00",
-          "2010-03-06T13:43:00-07:00",
-          "2010-03-06T13:44:00-07:00",
-          "2010-03-06T13:45:00-07:00",
-          "2010-03-06T13:46:00-07:00",
-          "2010-03-06T13:47:00-07:00",
-          "2010-03-06T13:48:00-07:00",
-          "2010-03-06T13:49:00-07:00",
-          "2010-03-06T13:50:00-07:00",
-          "2010-03-06T13:51:00-07:00",
-          "2010-03-06T13:52:00-07:00",
-          "2010-03-06T13:53:00-07:00",
-          "2010-03-06T13:54:00-07:00",
-          "2010-03-06T13:55:00-07:00",
-          "2010-03-06T13:56:00-07:00",
-          "2010-03-06T13:57:00-07:00",
-          "2010-03-06T13:58:00-07:00",
-          "2010-03-06T13:59:00-07:00",
-          "2010-03-06T14:00:00-07:00",
-          "2010-03-06T14:01:00-07:00",
-          "2010-03-06T14:02:00-07:00",
-          "2010-03-06T14:03:00-07:00",
-          "2010-03-06T14:04:00-07:00",
-          "2010-03-06T14:05:00-07:00",
-          "2010-03-06T14:06:00-07:00",
-          "2010-03-06T14:07:00-07:00",
-          "2010-03-06T14:08:00-07:00",
-          "2010-03-06T14:09:00-07:00",
-          "2010-03-06T14:10:00-07:00",
-          "2010-03-06T14:11:00-07:00",
-          "2010-03-06T14:12:00-07:00",
-          "2010-03-06T14:13:00-07:00",
-          "2010-03-06T14:14:00-07:00",
-          "2010-03-06T14:15:00-07:00",
-          "2010-03-06T14:16:00-07:00",
-          "2010-03-06T14:17:00-07:00",
-          "2010-03-06T14:18:00-07:00",
-          "2010-03-06T14:19:00-07:00",
-          "2010-03-06T14:20:00-07:00",
-          "2010-03-06T14:21:00-07:00",
-          "2010-03-06T14:22:00-07:00",
-          "2010-03-06T14:23:00-07:00",
-          "2010-03-06T14:24:00-07:00",
-          "2010-03-06T14:25:00-07:00",
-          "2010-03-06T14:26:00-07:00",
-          "2010-03-06T14:27:00-07:00",
-          "2010-03-06T14:28:00-07:00",
-          "2010-03-06T14:29:00-07:00",
-          "2010-03-06T14:30:00-07:00",
-          "2010-03-06T14:31:00-07:00",
-          "2010-03-06T14:32:00-07:00",
-          "2010-03-06T14:33:00-07:00",
-          "2010-03-06T14:34:00-07:00",
-          "2010-03-06T14:35:00-07:00",
-          "2010-03-06T14:36:00-07:00",
-          "2010-03-06T14:37:00-07:00",
-          "2010-03-06T14:38:00-07:00",
-          "2010-03-06T14:39:00-07:00",
-          "2010-03-06T14:40:00-07:00",
-          "2010-03-06T14:41:00-07:00",
-          "2010-03-06T14:42:00-07:00",
-          "2010-03-06T14:43:00-07:00",
-          "2010-03-06T14:44:00-07:00",
-          "2010-03-06T14:45:00-07:00",
-          "2010-03-06T14:46:00-07:00",
-          "2010-03-06T14:47:00-07:00",
-          "2010-03-06T14:48:00-07:00",
-          "2010-03-06T14:49:00-07:00",
-          "2010-03-06T14:50:00-07:00",
-          "2010-03-06T14:51:00-07:00",
-          "2010-03-06T14:52:00-07:00",
-          "2010-03-06T14:53:00-07:00",
-          "2010-03-06T14:54:00-07:00",
-          "2010-03-06T14:55:00-07:00",
-          "2010-03-06T14:56:00-07:00",
-          "2010-03-06T14:57:00-07:00",
-          "2010-03-06T14:58:00-07:00",
-          "2010-03-06T14:59:00-07:00",
-          "2010-03-06T15:00:00-07:00",
-          "2010-03-06T15:01:00-07:00",
-          "2010-03-06T15:02:00-07:00",
-          "2010-03-06T15:03:00-07:00",
-          "2010-03-06T15:04:00-07:00",
-          "2010-03-06T15:05:00-07:00",
-          "2010-03-06T15:06:00-07:00",
-          "2010-03-06T15:07:00-07:00",
-          "2010-03-06T15:08:00-07:00",
-          "2010-03-06T15:09:00-07:00",
-          "2010-03-06T15:10:00-07:00",
-          "2010-03-06T15:11:00-07:00",
-          "2010-03-06T15:12:00-07:00",
-          "2010-03-06T15:13:00-07:00",
-          "2010-03-06T15:14:00-07:00",
-          "2010-03-06T15:15:00-07:00",
-          "2010-03-06T15:16:00-07:00",
-          "2010-03-06T15:17:00-07:00",
-          "2010-03-06T15:18:00-07:00",
-          "2010-03-06T15:19:00-07:00",
-          "2010-03-06T15:20:00-07:00",
-          "2010-03-06T15:21:00-07:00",
-          "2010-03-06T15:22:00-07:00",
-          "2010-03-06T15:23:00-07:00",
-          "2010-03-06T15:24:00-07:00",
-          "2010-03-06T15:25:00-07:00",
-          "2010-03-06T15:26:00-07:00",
-          "2010-03-06T15:27:00-07:00",
-          "2010-03-06T15:28:00-07:00",
-          "2010-03-06T15:29:00-07:00",
-          "2010-03-06T15:30:00-07:00",
-          "2010-03-06T15:31:00-07:00",
-          "2010-03-06T15:32:00-07:00",
-          "2010-03-06T15:33:00-07:00",
-          "2010-03-06T15:34:00-07:00",
-          "2010-03-06T15:35:00-07:00",
-          "2010-03-06T15:36:00-07:00",
-          "2010-03-06T15:37:00-07:00",
-          "2010-03-06T15:38:00-07:00",
-          "2010-03-06T15:39:00-07:00",
-          "2010-03-06T15:40:00-07:00",
-          "2010-03-06T15:41:00-07:00",
-          "2010-03-06T15:42:00-07:00",
-          "2010-03-06T15:43:00-07:00",
-          "2010-03-06T15:44:00-07:00",
-          "2010-03-06T15:45:00-07:00",
-          "2010-03-06T15:46:00-07:00",
-          "2010-03-06T15:47:00-07:00",
-          "2010-03-06T15:48:00-07:00",
-          "2010-03-06T15:49:00-07:00",
-          "2010-03-06T15:50:00-07:00",
-          "2010-03-06T15:51:00-07:00",
-          "2010-03-06T15:52:00-07:00",
-          "2010-03-06T15:53:00-07:00",
-          "2010-03-06T15:54:00-07:00",
-          "2010-03-06T15:55:00-07:00",
-          "2010-03-06T15:56:00-07:00",
-          "2010-03-06T15:57:00-07:00",
-          "2010-03-06T15:58:00-07:00",
-          "2010-03-06T15:59:00-07:00",
-          "2010-03-06T16:00:00-07:00",
-          "2010-03-06T16:01:00-07:00",
-          "2010-03-06T16:02:00-07:00",
-          "2010-03-06T16:03:00-07:00",
-          "2010-03-06T16:04:00-07:00",
-          "2010-03-06T16:05:00-07:00",
-          "2010-03-06T16:06:00-07:00",
-          "2010-03-06T16:07:00-07:00",
-          "2010-03-06T16:08:00-07:00",
-          "2010-03-06T16:09:00-07:00",
-          "2010-03-06T16:10:00-07:00",
-          "2010-03-06T16:11:00-07:00",
-          "2010-03-06T16:12:00-07:00",
-          "2010-03-06T16:13:00-07:00",
-          "2010-03-06T16:14:00-07:00",
-          "2010-03-06T16:15:00-07:00",
-          "2010-03-06T16:16:00-07:00",
-          "2010-03-06T16:17:00-07:00",
-          "2010-03-06T16:18:00-07:00",
-          "2010-03-06T16:19:00-07:00",
-          "2010-03-06T16:20:00-07:00",
-          "2010-03-06T16:21:00-07:00",
-          "2010-03-06T16:22:00-07:00",
-          "2010-03-06T16:23:00-07:00",
-          "2010-03-06T16:24:00-07:00",
-          "2010-03-06T16:25:00-07:00",
-          "2010-03-06T16:26:00-07:00",
-          "2010-03-06T16:27:00-07:00",
-          "2010-03-06T16:28:00-07:00",
-          "2010-03-06T16:29:00-07:00",
-          "2010-03-06T16:30:00-07:00",
-          "2010-03-06T16:31:00-07:00",
-          "2010-03-06T16:32:00-07:00",
-          "2010-03-06T16:33:00-07:00",
-          "2010-03-06T16:34:00-07:00",
-          "2010-03-06T16:35:00-07:00",
-          "2010-03-06T16:36:00-07:00",
-          "2010-03-06T16:37:00-07:00",
-          "2010-03-06T16:38:00-07:00",
-          "2010-03-06T16:39:00-07:00",
-          "2010-03-06T16:40:00-07:00",
-          "2010-03-06T16:41:00-07:00",
-          "2010-03-06T16:42:00-07:00",
-          "2010-03-06T16:43:00-07:00",
-          "2010-03-06T16:44:00-07:00",
-          "2010-03-06T16:45:00-07:00",
-          "2010-03-06T16:46:00-07:00",
-          "2010-03-06T16:47:00-07:00",
-          "2010-03-06T16:48:00-07:00",
-          "2010-03-06T16:49:00-07:00",
-          "2010-03-06T16:50:00-07:00",
-          "2010-03-06T16:51:00-07:00",
-          "2010-03-06T16:52:00-07:00",
-          "2010-03-06T16:53:00-07:00",
-          "2010-03-06T16:54:00-07:00",
-          "2010-03-06T16:55:00-07:00",
-          "2010-03-06T16:56:00-07:00",
-          "2010-03-06T16:57:00-07:00",
-          "2010-03-06T16:58:00-07:00",
-          "2010-03-06T16:59:00-07:00",
-          "2010-03-06T17:00:00-07:00",
-          "2010-03-06T17:01:00-07:00",
-          "2010-03-06T17:02:00-07:00",
-          "2010-03-06T17:03:00-07:00",
-          "2010-03-06T17:04:00-07:00",
-          "2010-03-06T17:05:00-07:00",
-          "2010-03-06T17:06:00-07:00",
-          "2010-03-06T17:07:00-07:00",
-          "2010-03-06T17:08:00-07:00",
-          "2010-03-06T17:09:00-07:00",
-          "2010-03-06T17:10:00-07:00",
-          "2010-03-06T17:11:00-07:00",
-          "2010-03-06T17:12:00-07:00",
-          "2010-03-06T17:13:00-07:00",
-          "2010-03-06T17:14:00-07:00",
-          "2010-03-06T17:15:00-07:00",
-          "2010-03-06T17:16:00-07:00",
-          "2010-03-06T17:17:00-07:00",
-          "2010-03-06T17:18:00-07:00",
-          "2010-03-06T17:19:00-07:00",
-          "2010-03-06T17:20:00-07:00",
-          "2010-03-06T17:21:00-07:00",
-          "2010-03-06T17:22:00-07:00",
-          "2010-03-06T17:23:00-07:00",
-          "2010-03-06T17:24:00-07:00",
-          "2010-03-06T17:25:00-07:00",
-          "2010-03-06T17:26:00-07:00",
-          "2010-03-06T17:27:00-07:00",
-          "2010-03-06T17:28:00-07:00",
-          "2010-03-06T17:29:00-07:00",
-          "2010-03-06T17:30:00-07:00",
-          "2010-03-06T17:31:00-07:00",
-          "2010-03-06T17:32:00-07:00",
-          "2010-03-06T17:33:00-07:00",
-          "2010-03-06T17:34:00-07:00",
-          "2010-03-06T17:35:00-07:00",
-          "2010-03-06T17:36:00-07:00",
-          "2010-03-06T17:37:00-07:00",
-          "2010-03-06T17:38:00-07:00",
-          "2010-03-06T17:39:00-07:00",
-          "2010-03-06T17:40:00-07:00",
-          "2010-03-06T17:41:00-07:00",
-          "2010-03-06T17:42:00-07:00",
-          "2010-03-06T17:43:00-07:00",
-          "2010-03-06T17:44:00-07:00",
-          "2010-03-06T17:45:00-07:00",
-          "2010-03-06T17:46:00-07:00",
-          "2010-03-06T17:47:00-07:00",
-          "2010-03-06T17:48:00-07:00",
-          "2010-03-06T17:49:00-07:00",
-          "2010-03-06T17:50:00-07:00",
-          "2010-03-06T17:51:00-07:00",
-          "2010-03-06T17:52:00-07:00",
-          "2010-03-06T17:53:00-07:00",
-          "2010-03-06T17:54:00-07:00",
-          "2010-03-06T17:55:00-07:00",
-          "2010-03-06T17:56:00-07:00",
-          "2010-03-06T17:57:00-07:00",
-          "2010-03-06T17:58:00-07:00",
-          "2010-03-06T17:59:00-07:00",
-          "2010-03-06T18:00:00-07:00",
-          "2010-03-06T18:01:00-07:00",
-          "2010-03-06T18:02:00-07:00",
-          "2010-03-06T18:03:00-07:00",
-          "2010-03-06T18:04:00-07:00",
-          "2010-03-06T18:05:00-07:00",
-          "2010-03-06T18:06:00-07:00",
-          "2010-03-06T18:07:00-07:00",
-          "2010-03-06T18:08:00-07:00",
-          "2010-03-06T18:09:00-07:00",
-          "2010-03-06T18:10:00-07:00",
-          "2010-03-06T18:11:00-07:00",
-          "2010-03-06T18:12:00-07:00",
-          "2010-03-06T18:13:00-07:00",
-          "2010-03-06T18:14:00-07:00",
-          "2010-03-06T18:15:00-07:00",
-          "2010-03-06T18:16:00-07:00",
-          "2010-03-06T18:17:00-07:00",
-          "2010-03-06T18:18:00-07:00",
-          "2010-03-06T18:19:00-07:00",
-          "2010-03-06T18:20:00-07:00",
-          "2010-03-06T18:21:00-07:00",
-          "2010-03-06T18:22:00-07:00",
-          "2010-03-06T18:23:00-07:00",
-          "2010-03-06T18:24:00-07:00",
-          "2010-03-06T18:25:00-07:00",
-          "2010-03-06T18:26:00-07:00",
-          "2010-03-06T18:27:00-07:00",
-          "2010-03-06T18:28:00-07:00",
-          "2010-03-06T18:29:00-07:00",
-          "2010-03-06T18:30:00-07:00",
-          "2010-03-06T18:31:00-07:00",
-          "2010-03-06T18:32:00-07:00",
-          "2010-03-06T18:33:00-07:00",
-          "2010-03-06T18:34:00-07:00",
-          "2010-03-06T18:35:00-07:00",
-          "2010-03-06T18:36:00-07:00",
-          "2010-03-06T18:37:00-07:00",
-          "2010-03-06T18:38:00-07:00",
-          "2010-03-06T18:39:00-07:00",
-          "2010-03-06T18:40:00-07:00",
-          "2010-03-06T18:41:00-07:00",
-          "2010-03-06T18:42:00-07:00",
-          "2010-03-06T18:43:00-07:00",
-          "2010-03-06T18:44:00-07:00",
-          "2010-03-06T18:45:00-07:00",
-          "2010-03-06T18:46:00-07:00",
-          "2010-03-06T18:47:00-07:00",
-          "2010-03-06T18:48:00-07:00",
-          "2010-03-06T18:49:00-07:00",
-          "2010-03-06T18:50:00-07:00",
-          "2010-03-06T18:51:00-07:00",
-          "2010-03-06T18:52:00-07:00",
-          "2010-03-06T18:53:00-07:00",
-          "2010-03-06T18:54:00-07:00",
-          "2010-03-06T18:55:00-07:00",
-          "2010-03-06T18:56:00-07:00",
-          "2010-03-06T18:57:00-07:00",
-          "2010-03-06T18:58:00-07:00",
-          "2010-03-06T18:59:00-07:00",
-          "2010-03-06T19:00:00-07:00",
-          "2010-03-06T19:01:00-07:00",
-          "2010-03-06T19:02:00-07:00",
-          "2010-03-06T19:03:00-07:00",
-          "2010-03-06T19:04:00-07:00",
-          "2010-03-06T19:05:00-07:00",
-          "2010-03-06T19:06:00-07:00",
-          "2010-03-06T19:07:00-07:00",
-          "2010-03-06T19:08:00-07:00",
-          "2010-03-06T19:09:00-07:00",
-          "2010-03-06T19:10:00-07:00",
-          "2010-03-06T19:11:00-07:00",
-          "2010-03-06T19:12:00-07:00",
-          "2010-03-06T19:13:00-07:00",
-          "2010-03-06T19:14:00-07:00",
-          "2010-03-06T19:15:00-07:00",
-          "2010-03-06T19:16:00-07:00",
-          "2010-03-06T19:17:00-07:00",
-          "2010-03-06T19:18:00-07:00",
-          "2010-03-06T19:19:00-07:00",
-          "2010-03-06T19:20:00-07:00",
-          "2010-03-06T19:21:00-07:00",
-          "2010-03-06T19:22:00-07:00",
-          "2010-03-06T19:23:00-07:00",
-          "2010-03-06T19:24:00-07:00",
-          "2010-03-06T19:25:00-07:00",
-          "2010-03-06T19:26:00-07:00",
-          "2010-03-06T19:27:00-07:00",
-          "2010-03-06T19:28:00-07:00",
-          "2010-03-06T19:29:00-07:00",
-          "2010-03-06T19:30:00-07:00",
-          "2010-03-06T19:31:00-07:00",
-          "2010-03-06T19:32:00-07:00",
-          "2010-03-06T19:33:00-07:00",
-          "2010-03-06T19:34:00-07:00",
-          "2010-03-06T19:35:00-07:00",
-          "2010-03-06T19:36:00-07:00",
-          "2010-03-06T19:37:00-07:00",
-          "2010-03-06T19:38:00-07:00",
-          "2010-03-06T19:39:00-07:00",
-          "2010-03-06T19:40:00-07:00",
-          "2010-03-06T19:41:00-07:00",
-          "2010-03-06T19:42:00-07:00",
-          "2010-03-06T19:43:00-07:00",
-          "2010-03-06T19:44:00-07:00",
-          "2010-03-06T19:45:00-07:00",
-          "2010-03-06T19:46:00-07:00",
-          "2010-03-06T19:47:00-07:00",
-          "2010-03-06T19:48:00-07:00",
-          "2010-03-06T19:49:00-07:00",
-          "2010-03-06T19:50:00-07:00",
-          "2010-03-06T19:51:00-07:00",
-          "2010-03-06T19:52:00-07:00",
-          "2010-03-06T19:53:00-07:00",
-          "2010-03-06T19:54:00-07:00",
-          "2010-03-06T19:55:00-07:00",
-          "2010-03-06T19:56:00-07:00",
-          "2010-03-06T19:57:00-07:00",
-          "2010-03-06T19:58:00-07:00",
-          "2010-03-06T19:59:00-07:00",
-          "2010-03-06T20:00:00-07:00",
-          "2010-03-06T20:01:00-07:00",
-          "2010-03-06T20:02:00-07:00",
-          "2010-03-06T20:03:00-07:00",
-          "2010-03-06T20:04:00-07:00",
-          "2010-03-06T20:05:00-07:00",
-          "2010-03-06T20:06:00-07:00",
-          "2010-03-06T20:07:00-07:00",
-          "2010-03-06T20:08:00-07:00",
-          "2010-03-06T20:09:00-07:00",
-          "2010-03-06T20:10:00-07:00",
-          "2010-03-06T20:11:00-07:00",
-          "2010-03-06T20:12:00-07:00",
-          "2010-03-06T20:13:00-07:00",
-          "2010-03-06T20:14:00-07:00",
-          "2010-03-06T20:15:00-07:00",
-          "2010-03-06T20:16:00-07:00",
-          "2010-03-06T20:17:00-07:00",
-          "2010-03-06T20:18:00-07:00",
-          "2010-03-06T20:19:00-07:00",
-          "2010-03-06T20:20:00-07:00",
-          "2010-03-06T20:21:00-07:00",
-          "2010-03-06T20:22:00-07:00",
-          "2010-03-06T20:23:00-07:00",
-          "2010-03-06T20:24:00-07:00",
-          "2010-03-06T20:25:00-07:00",
-          "2010-03-06T20:26:00-07:00",
-          "2010-03-06T20:27:00-07:00",
-          "2010-03-06T20:28:00-07:00",
-          "2010-03-06T20:29:00-07:00",
-          "2010-03-06T20:30:00-07:00",
-          "2010-03-06T20:31:00-07:00",
-          "2010-03-06T20:32:00-07:00",
-          "2010-03-06T20:33:00-07:00",
-          "2010-03-06T20:34:00-07:00",
-          "2010-03-06T20:35:00-07:00",
-          "2010-03-06T20:36:00-07:00",
-          "2010-03-06T20:37:00-07:00",
-          "2010-03-06T20:38:00-07:00",
-          "2010-03-06T20:39:00-07:00",
-          "2010-03-06T20:40:00-07:00",
-          "2010-03-06T20:41:00-07:00",
-          "2010-03-06T20:42:00-07:00",
-          "2010-03-06T20:43:00-07:00",
-          "2010-03-06T20:44:00-07:00",
-          "2010-03-06T20:45:00-07:00",
-          "2010-03-06T20:46:00-07:00",
-          "2010-03-06T20:47:00-07:00",
-          "2010-03-06T20:48:00-07:00",
-          "2010-03-06T20:49:00-07:00",
-          "2010-03-06T20:50:00-07:00",
-          "2010-03-06T20:51:00-07:00",
-          "2010-03-06T20:52:00-07:00",
-          "2010-03-06T20:53:00-07:00",
-          "2010-03-06T20:54:00-07:00",
-          "2010-03-06T20:55:00-07:00",
-          "2010-03-06T20:56:00-07:00",
-          "2010-03-06T20:57:00-07:00",
-          "2010-03-06T20:58:00-07:00",
-          "2010-03-06T20:59:00-07:00",
-          "2010-03-06T21:00:00-07:00",
-          "2010-03-06T21:01:00-07:00",
-          "2010-03-06T21:02:00-07:00",
-          "2010-03-06T21:03:00-07:00",
-          "2010-03-06T21:04:00-07:00",
-          "2010-03-06T21:05:00-07:00",
-          "2010-03-06T21:06:00-07:00",
-          "2010-03-06T21:07:00-07:00",
-          "2010-03-06T21:08:00-07:00",
-          "2010-03-06T21:09:00-07:00",
-          "2010-03-06T21:10:00-07:00",
-          "2010-03-06T21:11:00-07:00",
-          "2010-03-06T21:12:00-07:00",
-          "2010-03-06T21:13:00-07:00",
-          "2010-03-06T21:14:00-07:00",
-          "2010-03-06T21:15:00-07:00",
-          "2010-03-06T21:16:00-07:00",
-          "2010-03-06T21:17:00-07:00",
-          "2010-03-06T21:18:00-07:00",
-          "2010-03-06T21:19:00-07:00",
-          "2010-03-06T21:20:00-07:00",
-          "2010-03-06T21:21:00-07:00",
-          "2010-03-06T21:22:00-07:00",
-          "2010-03-06T21:23:00-07:00",
-          "2010-03-06T21:24:00-07:00",
-          "2010-03-06T21:25:00-07:00",
-          "2010-03-06T21:26:00-07:00",
-          "2010-03-06T21:27:00-07:00",
-          "2010-03-06T21:28:00-07:00",
-          "2010-03-06T21:29:00-07:00",
-          "2010-03-06T21:30:00-07:00",
-          "2010-03-06T21:31:00-07:00",
-          "2010-03-06T21:32:00-07:00",
-          "2010-03-06T21:33:00-07:00",
-          "2010-03-06T21:34:00-07:00",
-          "2010-03-06T21:35:00-07:00",
-          "2010-03-06T21:36:00-07:00",
-          "2010-03-06T21:37:00-07:00",
-          "2010-03-06T21:38:00-07:00",
-          "2010-03-06T21:39:00-07:00",
-          "2010-03-06T21:40:00-07:00",
-          "2010-03-06T21:41:00-07:00",
-          "2010-03-06T21:42:00-07:00",
-          "2010-03-06T21:43:00-07:00",
-          "2010-03-06T21:44:00-07:00",
-          "2010-03-06T21:45:00-07:00",
-          "2010-03-06T21:46:00-07:00",
-          "2010-03-06T21:47:00-07:00",
-          "2010-03-06T21:48:00-07:00",
-          "2010-03-06T21:49:00-07:00",
-          "2010-03-06T21:50:00-07:00",
-          "2010-03-06T21:51:00-07:00",
-          "2010-03-06T21:52:00-07:00",
-          "2010-03-06T21:53:00-07:00",
-          "2010-03-06T21:54:00-07:00",
-          "2010-03-06T21:55:00-07:00",
-          "2010-03-06T21:56:00-07:00",
-          "2010-03-06T21:57:00-07:00",
-          "2010-03-06T21:58:00-07:00",
-          "2010-03-06T21:59:00-07:00",
-          "2010-03-06T22:00:00-07:00",
-          "2010-03-06T22:01:00-07:00",
-          "2010-03-06T22:02:00-07:00",
-          "2010-03-06T22:03:00-07:00",
-          "2010-03-06T22:04:00-07:00",
-          "2010-03-06T22:05:00-07:00",
-          "2010-03-06T22:06:00-07:00",
-          "2010-03-06T22:07:00-07:00",
-          "2010-03-06T22:08:00-07:00",
-          "2010-03-06T22:09:00-07:00",
-          "2010-03-06T22:10:00-07:00",
-          "2010-03-06T22:11:00-07:00",
-          "2010-03-06T22:12:00-07:00",
-          "2010-03-06T22:13:00-07:00",
-          "2010-03-06T22:14:00-07:00",
-          "2010-03-06T22:15:00-07:00",
-          "2010-03-06T22:16:00-07:00",
-          "2010-03-06T22:17:00-07:00",
-          "2010-03-06T22:18:00-07:00",
-          "2010-03-06T22:19:00-07:00",
-          "2010-03-06T22:20:00-07:00",
-          "2010-03-06T22:21:00-07:00",
-          "2010-03-06T22:22:00-07:00",
-          "2010-03-06T22:23:00-07:00",
-          "2010-03-06T22:24:00-07:00",
-          "2010-03-06T22:25:00-07:00",
-          "2010-03-06T22:26:00-07:00",
-          "2010-03-06T22:27:00-07:00",
-          "2010-03-06T22:28:00-07:00",
-          "2010-03-06T22:29:00-07:00",
-          "2010-03-06T22:30:00-07:00",
-          "2010-03-06T22:31:00-07:00",
-          "2010-03-06T22:32:00-07:00",
-          "2010-03-06T22:33:00-07:00",
-          "2010-03-06T22:34:00-07:00",
-          "2010-03-06T22:35:00-07:00",
-          "2010-03-06T22:36:00-07:00",
-          "2010-03-06T22:37:00-07:00",
-          "2010-03-06T22:38:00-07:00",
-          "2010-03-06T22:39:00-07:00",
-          "2010-03-06T22:40:00-07:00",
-          "2010-03-06T22:41:00-07:00",
-          "2010-03-06T22:42:00-07:00",
-          "2010-03-06T22:43:00-07:00",
-          "2010-03-06T22:44:00-07:00",
-          "2010-03-06T22:45:00-07:00",
-          "2010-03-06T22:46:00-07:00",
-          "2010-03-06T22:47:00-07:00",
-          "2010-03-06T22:48:00-07:00",
-          "2010-03-06T22:49:00-07:00",
-          "2010-03-06T22:50:00-07:00",
-          "2010-03-06T22:51:00-07:00",
-          "2010-03-06T22:52:00-07:00",
-          "2010-03-06T22:53:00-07:00",
-          "2010-03-06T22:54:00-07:00",
-          "2010-03-06T22:55:00-07:00",
-          "2010-03-06T22:56:00-07:00",
-          "2010-03-06T22:57:00-07:00",
-          "2010-03-06T22:58:00-07:00",
-          "2010-03-06T22:59:00-07:00",
-          "2010-03-06T23:00:00-07:00",
-          "2010-03-06T23:01:00-07:00",
-          "2010-03-06T23:02:00-07:00",
-          "2010-03-06T23:03:00-07:00",
-          "2010-03-06T23:04:00-07:00",
-          "2010-03-06T23:05:00-07:00",
-          "2010-03-06T23:06:00-07:00",
-          "2010-03-06T23:07:00-07:00",
-          "2010-03-06T23:08:00-07:00",
-          "2010-03-06T23:09:00-07:00",
-          "2010-03-06T23:10:00-07:00",
-          "2010-03-06T23:11:00-07:00",
-          "2010-03-06T23:12:00-07:00",
-          "2010-03-06T23:13:00-07:00",
-          "2010-03-06T23:14:00-07:00",
-          "2010-03-06T23:15:00-07:00",
-          "2010-03-06T23:16:00-07:00",
-          "2010-03-06T23:17:00-07:00",
-          "2010-03-06T23:18:00-07:00",
-          "2010-03-06T23:19:00-07:00",
-          "2010-03-06T23:20:00-07:00",
-          "2010-03-06T23:21:00-07:00",
-          "2010-03-06T23:22:00-07:00",
-          "2010-03-06T23:23:00-07:00",
-          "2010-03-06T23:24:00-07:00",
-          "2010-03-06T23:25:00-07:00",
-          "2010-03-06T23:26:00-07:00",
-          "2010-03-06T23:27:00-07:00",
-          "2010-03-06T23:28:00-07:00",
-          "2010-03-06T23:29:00-07:00",
-          "2010-03-06T23:30:00-07:00",
-          "2010-03-06T23:31:00-07:00",
-          "2010-03-06T23:32:00-07:00",
-          "2010-03-06T23:33:00-07:00",
-          "2010-03-06T23:34:00-07:00",
-          "2010-03-06T23:35:00-07:00",
-          "2010-03-06T23:36:00-07:00",
-          "2010-03-06T23:37:00-07:00",
-          "2010-03-06T23:38:00-07:00",
-          "2010-03-06T23:39:00-07:00",
-          "2010-03-06T23:40:00-07:00",
-          "2010-03-06T23:41:00-07:00",
-          "2010-03-06T23:42:00-07:00",
-          "2010-03-06T23:43:00-07:00",
-          "2010-03-06T23:44:00-07:00",
-          "2010-03-06T23:45:00-07:00",
-          "2010-03-06T23:46:00-07:00",
-          "2010-03-06T23:47:00-07:00",
-          "2010-03-06T23:48:00-07:00",
-          "2010-03-06T23:49:00-07:00",
-          "2010-03-06T23:50:00-07:00",
-          "2010-03-06T23:51:00-07:00",
-          "2010-03-06T23:52:00-07:00",
-          "2010-03-06T23:53:00-07:00",
-          "2010-03-06T23:54:00-07:00",
-          "2010-03-06T23:55:00-07:00",
-          "2010-03-06T23:56:00-07:00",
-          "2010-03-06T23:57:00-07:00",
-          "2010-03-06T23:58:00-07:00",
-          "2010-03-06T23:59:00-07:00",
-          "2010-03-07T00:00:00-07:00",
-          "2010-03-07T00:01:00-07:00",
-          "2010-03-07T00:02:00-07:00",
-          "2010-03-07T00:03:00-07:00",
-          "2010-03-07T00:04:00-07:00",
-          "2010-03-07T00:05:00-07:00",
-          "2010-03-07T00:06:00-07:00",
-          "2010-03-07T00:07:00-07:00",
-          "2010-03-07T00:08:00-07:00",
-          "2010-03-07T00:09:00-07:00",
-          "2010-03-07T00:10:00-07:00",
-          "2010-03-07T00:11:00-07:00",
-          "2010-03-07T00:12:00-07:00",
-          "2010-03-07T00:13:00-07:00",
-          "2010-03-07T00:14:00-07:00",
-          "2010-03-07T00:15:00-07:00",
-          "2010-03-07T00:16:00-07:00",
-          "2010-03-07T00:17:00-07:00",
-          "2010-03-07T00:18:00-07:00",
-          "2010-03-07T00:19:00-07:00",
-          "2010-03-07T00:20:00-07:00",
-          "2010-03-07T00:21:00-07:00",
-          "2010-03-07T00:22:00-07:00",
-          "2010-03-07T00:23:00-07:00",
-          "2010-03-07T00:24:00-07:00",
-          "2010-03-07T00:25:00-07:00",
-          "2010-03-07T00:26:00-07:00",
-          "2010-03-07T00:27:00-07:00",
-          "2010-03-07T00:28:00-07:00",
-          "2010-03-07T00:29:00-07:00",
-          "2010-03-07T00:30:00-07:00",
-          "2010-03-07T00:31:00-07:00",
-          "2010-03-07T00:32:00-07:00",
-          "2010-03-07T00:33:00-07:00",
-          "2010-03-07T00:34:00-07:00",
-          "2010-03-07T00:35:00-07:00",
-          "2010-03-07T00:36:00-07:00",
-          "2010-03-07T00:37:00-07:00",
-          "2010-03-07T00:38:00-07:00",
-          "2010-03-07T00:39:00-07:00",
-          "2010-03-07T00:40:00-07:00",
-          "2010-03-07T00:41:00-07:00",
-          "2010-03-07T00:42:00-07:00",
-          "2010-03-07T00:43:00-07:00",
-          "2010-03-07T00:44:00-07:00",
-          "2010-03-07T00:45:00-07:00",
-          "2010-03-07T00:46:00-07:00",
-          "2010-03-07T00:47:00-07:00",
-          "2010-03-07T00:48:00-07:00",
-          "2010-03-07T00:49:00-07:00",
-          "2010-03-07T00:50:00-07:00",
-          "2010-03-07T00:51:00-07:00",
-          "2010-03-07T00:52:00-07:00",
-          "2010-03-07T00:53:00-07:00",
-          "2010-03-07T00:54:00-07:00",
-          "2010-03-07T00:55:00-07:00",
-          "2010-03-07T00:56:00-07:00",
-          "2010-03-07T00:57:00-07:00",
-          "2010-03-07T00:58:00-07:00",
-          "2010-03-07T00:59:00-07:00",
-          "2010-03-07T01:00:00-07:00",
-          "2010-03-07T01:01:00-07:00",
-          "2010-03-07T01:02:00-07:00",
-          "2010-03-07T01:03:00-07:00",
-          "2010-03-07T01:04:00-07:00",
-          "2010-03-07T01:05:00-07:00",
-          "2010-03-07T01:06:00-07:00",
-          "2010-03-07T01:07:00-07:00",
-          "2010-03-07T01:08:00-07:00",
-          "2010-03-07T01:09:00-07:00",
-          "2010-03-07T01:10:00-07:00",
-          "2010-03-07T01:11:00-07:00",
-          "2010-03-07T01:12:00-07:00",
-          "2010-03-07T01:13:00-07:00",
-          "2010-03-07T01:14:00-07:00",
-          "2010-03-07T01:15:00-07:00",
-          "2010-03-07T01:16:00-07:00",
-          "2010-03-07T01:17:00-07:00",
-          "2010-03-07T01:18:00-07:00",
-          "2010-03-07T01:19:00-07:00",
-          "2010-03-07T01:20:00-07:00",
-          "2010-03-07T01:21:00-07:00",
-          "2010-03-07T01:22:00-07:00",
-          "2010-03-07T01:23:00-07:00",
-          "2010-03-07T01:24:00-07:00",
-          "2010-03-07T01:25:00-07:00",
-          "2010-03-07T01:26:00-07:00",
-          "2010-03-07T01:27:00-07:00",
-          "2010-03-07T01:28:00-07:00",
-          "2010-03-07T01:29:00-07:00",
-          "2010-03-07T01:30:00-07:00",
-          "2010-03-07T01:31:00-07:00",
-          "2010-03-07T01:32:00-07:00",
-          "2010-03-07T01:33:00-07:00",
-          "2010-03-07T01:34:00-07:00",
-          "2010-03-07T01:35:00-07:00",
-          "2010-03-07T01:36:00-07:00",
-          "2010-03-07T01:37:00-07:00",
-          "2010-03-07T01:38:00-07:00",
-          "2010-03-07T01:39:00-07:00",
-          "2010-03-07T01:40:00-07:00",
-          "2010-03-07T01:41:00-07:00",
-          "2010-03-07T01:42:00-07:00",
-          "2010-03-07T01:43:00-07:00",
-          "2010-03-07T01:44:00-07:00",
-          "2010-03-07T01:45:00-07:00",
-          "2010-03-07T01:46:00-07:00",
-          "2010-03-07T01:47:00-07:00",
-          "2010-03-07T01:48:00-07:00",
-          "2010-03-07T01:49:00-07:00",
-          "2010-03-07T01:50:00-07:00",
-          "2010-03-07T01:51:00-07:00",
-          "2010-03-07T01:52:00-07:00",
-          "2010-03-07T01:53:00-07:00",
-          "2010-03-07T01:54:00-07:00",
-          "2010-03-07T01:55:00-07:00",
-          "2010-03-07T01:56:00-07:00",
-          "2010-03-07T01:57:00-07:00",
-          "2010-03-07T01:58:00-07:00",
-          "2010-03-07T01:59:00-07:00",
-          "2010-03-07T02:00:00-07:00",
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-          "2010-03-07T02:14:00-07:00",
-          "2010-03-07T02:15:00-07:00",
-          "2010-03-07T02:16:00-07:00",
-          "2010-03-07T02:17:00-07:00",
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-          "2010-03-07T02:22:00-07:00",
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-          "2010-03-07T02:25:00-07:00",
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-          "2010-03-07T02:37:00-07:00",
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-          "2010-03-07T08:25:00-07:00",
-          "2010-03-07T08:26:00-07:00",
-          "2010-03-07T08:27:00-07:00",
-          "2010-03-07T08:28:00-07:00",
-          "2010-03-07T08:29:00-07:00",
-          "2010-03-07T08:30:00-07:00",
-          "2010-03-07T08:31:00-07:00",
-          "2010-03-07T08:32:00-07:00",
-          "2010-03-07T08:33:00-07:00",
-          "2010-03-07T08:34:00-07:00",
-          "2010-03-07T08:35:00-07:00",
-          "2010-03-07T08:36:00-07:00",
-          "2010-03-07T08:37:00-07:00",
-          "2010-03-07T08:38:00-07:00",
-          "2010-03-07T08:39:00-07:00",
-          "2010-03-07T08:40:00-07:00",
-          "2010-03-07T08:41:00-07:00",
-          "2010-03-07T08:42:00-07:00",
-          "2010-03-07T08:43:00-07:00",
-          "2010-03-07T08:44:00-07:00",
-          "2010-03-07T08:45:00-07:00",
-          "2010-03-07T08:46:00-07:00",
-          "2010-03-07T08:47:00-07:00",
-          "2010-03-07T08:48:00-07:00",
-          "2010-03-07T08:49:00-07:00",
-          "2010-03-07T08:50:00-07:00",
-          "2010-03-07T08:51:00-07:00",
-          "2010-03-07T08:52:00-07:00",
-          "2010-03-07T08:53:00-07:00",
-          "2010-03-07T08:54:00-07:00",
-          "2010-03-07T08:55:00-07:00",
-          "2010-03-07T08:56:00-07:00",
-          "2010-03-07T08:57:00-07:00",
-          "2010-03-07T08:58:00-07:00",
-          "2010-03-07T08:59:00-07:00",
-          "2010-03-07T09:00:00-07:00",
-          "2010-03-07T09:01:00-07:00",
-          "2010-03-07T09:02:00-07:00",
-          "2010-03-07T09:03:00-07:00",
-          "2010-03-07T09:04:00-07:00",
-          "2010-03-07T09:05:00-07:00",
-          "2010-03-07T09:06:00-07:00",
-          "2010-03-07T09:07:00-07:00",
-          "2010-03-07T09:08:00-07:00",
-          "2010-03-07T09:09:00-07:00",
-          "2010-03-07T09:10:00-07:00",
-          "2010-03-07T09:11:00-07:00",
-          "2010-03-07T09:12:00-07:00",
-          "2010-03-07T09:13:00-07:00",
-          "2010-03-07T09:14:00-07:00",
-          "2010-03-07T09:15:00-07:00",
-          "2010-03-07T09:16:00-07:00",
-          "2010-03-07T09:17:00-07:00",
-          "2010-03-07T09:18:00-07:00",
-          "2010-03-07T09:19:00-07:00",
-          "2010-03-07T09:20:00-07:00",
-          "2010-03-07T09:21:00-07:00",
-          "2010-03-07T09:22:00-07:00",
-          "2010-03-07T09:23:00-07:00",
-          "2010-03-07T09:24:00-07:00",
-          "2010-03-07T09:25:00-07:00",
-          "2010-03-07T09:26:00-07:00",
-          "2010-03-07T09:27:00-07:00",
-          "2010-03-07T09:28:00-07:00",
-          "2010-03-07T09:29:00-07:00",
-          "2010-03-07T09:30:00-07:00",
-          "2010-03-07T09:31:00-07:00",
-          "2010-03-07T09:32:00-07:00",
-          "2010-03-07T09:33:00-07:00",
-          "2010-03-07T09:34:00-07:00",
-          "2010-03-07T09:35:00-07:00",
-          "2010-03-07T09:36:00-07:00",
-          "2010-03-07T09:37:00-07:00",
-          "2010-03-07T09:38:00-07:00",
-          "2010-03-07T09:39:00-07:00",
-          "2010-03-07T09:40:00-07:00",
-          "2010-03-07T09:41:00-07:00",
-          "2010-03-07T09:45:00-07:00",
-          "2010-03-07T09:46:00-07:00",
-          "2010-03-07T09:58:00-07:00",
-          "2010-03-07T10:04:00-07:00",
-          "2010-03-07T10:07:00-07:00",
-          "2010-03-07T10:29:00-07:00",
-          "2010-03-07T10:30:00-07:00",
-          "2010-03-07T10:31:00-07:00",
-          "2010-03-07T10:42:00-07:00",
-          "2010-03-07T10:43:00-07:00",
-          "2010-03-07T10:52:00-07:00",
-          "2010-03-07T10:53:00-07:00",
-          "2010-03-07T10:54:00-07:00",
-          "2010-03-07T10:56:00-07:00",
-          "2010-03-07T10:59:00-07:00",
-          "2010-03-07T11:51:00-07:00",
-          "2010-03-07T11:52:00-07:00",
-          "2010-03-07T11:53:00-07:00",
-          "2010-03-07T12:25:00-07:00",
-          "2010-03-07T12:26:00-07:00",
-          "2010-03-07T12:30:00-07:00",
-          "2010-03-07T12:31:00-07:00",
-          "2010-03-07T13:15:00-07:00",
-          "2010-03-07T13:16:00-07:00",
-          "2010-03-07T13:18:00-07:00",
-          "2010-03-07T13:33:00-07:00",
-          "2010-03-07T13:34:00-07:00",
-          "2010-03-07T14:09:00-07:00",
-          "2010-03-07T14:10:00-07:00",
-          "2010-03-07T14:11:00-07:00",
-          "2010-03-07T14:13:00-07:00",
-          "2010-03-07T14:20:00-07:00",
-          "2010-03-07T14:21:00-07:00",
-          "2010-03-07T14:22:00-07:00",
-          "2010-03-07T14:23:00-07:00",
-          "2010-03-07T14:24:00-07:00",
-          "2010-03-07T14:27:00-07:00",
-          "2010-03-07T14:28:00-07:00",
-          "2010-03-07T14:29:00-07:00",
-          "2010-03-07T14:30:00-07:00",
-          "2010-03-07T14:33:00-07:00",
-          "2010-03-07T14:35:00-07:00",
-          "2010-03-07T14:37:00-07:00",
-          "2010-03-07T14:38:00-07:00",
-          "2010-03-07T14:39:00-07:00",
-          "2010-03-07T14:40:00-07:00",
-          "2010-03-07T14:41:00-07:00",
-          "2010-03-07T14:42:00-07:00",
-          "2010-03-07T14:43:00-07:00",
-          "2010-03-07T14:44:00-07:00",
-          "2010-03-07T14:45:00-07:00",
-          "2010-03-07T14:46:00-07:00",
-          "2010-03-07T14:47:00-07:00",
-          "2010-03-07T14:48:00-07:00",
-          "2010-03-07T14:49:00-07:00",
-          "2010-03-07T14:50:00-07:00",
-          "2010-03-07T14:51:00-07:00",
-          "2010-03-07T14:52:00-07:00",
-          "2010-03-07T14:53:00-07:00",
-          "2010-03-07T14:54:00-07:00",
-          "2010-03-07T14:55:00-07:00",
-          "2010-03-07T14:56:00-07:00",
-          "2010-03-07T14:57:00-07:00",
-          "2010-03-07T14:58:00-07:00",
-          "2010-03-07T14:59:00-07:00",
-          "2010-03-07T15:00:00-07:00",
-          "2010-03-07T15:01:00-07:00",
-          "2010-03-07T15:02:00-07:00",
-          "2010-03-07T15:03:00-07:00",
-          "2010-03-07T15:04:00-07:00",
-          "2010-03-07T15:05:00-07:00",
-          "2010-03-07T15:06:00-07:00",
-          "2010-03-07T15:07:00-07:00",
-          "2010-03-07T15:08:00-07:00",
-          "2010-03-07T15:09:00-07:00",
-          "2010-03-07T15:10:00-07:00",
-          "2010-03-07T15:11:00-07:00",
-          "2010-03-07T15:12:00-07:00",
-          "2010-03-07T15:13:00-07:00",
-          "2010-03-07T15:14:00-07:00",
-          "2010-03-07T15:15:00-07:00",
-          "2010-03-07T15:16:00-07:00",
-          "2010-03-07T15:17:00-07:00",
-          "2010-03-07T15:18:00-07:00",
-          "2010-03-07T15:19:00-07:00",
-          "2010-03-07T15:20:00-07:00",
-          "2010-03-07T15:21:00-07:00",
-          "2010-03-07T15:22:00-07:00",
-          "2010-03-07T15:23:00-07:00",
-          "2010-03-07T15:24:00-07:00",
-          "2010-03-07T15:25:00-07:00",
-          "2010-03-07T15:26:00-07:00",
-          "2010-03-07T15:27:00-07:00",
-          "2010-03-07T15:28:00-07:00",
-          "2010-03-07T15:29:00-07:00",
-          "2010-03-07T15:30:00-07:00",
-          "2010-03-07T15:31:00-07:00",
-          "2010-03-07T15:32:00-07:00",
-          "2010-03-07T15:33:00-07:00",
-          "2010-03-07T15:34:00-07:00",
-          "2010-03-07T15:35:00-07:00",
-          "2010-03-07T15:36:00-07:00",
-          "2010-03-07T15:37:00-07:00",
-          "2010-03-07T15:38:00-07:00",
-          "2010-03-07T15:39:00-07:00",
-          "2010-03-07T15:40:00-07:00",
-          "2010-03-07T15:41:00-07:00",
-          "2010-03-07T15:42:00-07:00",
-          "2010-03-07T15:43:00-07:00",
-          "2010-03-07T15:44:00-07:00",
-          "2010-03-07T15:45:00-07:00",
-          "2010-03-07T15:46:00-07:00",
-          "2010-03-07T15:47:00-07:00",
-          "2010-03-07T15:48:00-07:00",
-          "2010-03-07T15:49:00-07:00",
-          "2010-03-07T15:50:00-07:00",
-          "2010-03-07T15:51:00-07:00",
-          "2010-03-07T15:52:00-07:00",
-          "2010-03-07T15:53:00-07:00",
-          "2010-03-07T15:54:00-07:00",
-          "2010-03-07T15:55:00-07:00",
-          "2010-03-07T15:56:00-07:00",
-          "2010-03-07T15:57:00-07:00",
-          "2010-03-07T15:58:00-07:00",
-          "2010-03-07T15:59:00-07:00",
-          "2010-03-07T16:00:00-07:00",
-          "2010-03-07T16:01:00-07:00",
-          "2010-03-07T16:02:00-07:00",
-          "2010-03-07T16:03:00-07:00",
-          "2010-03-07T16:04:00-07:00",
-          "2010-03-07T16:05:00-07:00",
-          "2010-03-07T16:06:00-07:00",
-          "2010-03-07T16:07:00-07:00",
-          "2010-03-07T16:08:00-07:00",
-          "2010-03-07T16:09:00-07:00",
-          "2010-03-07T16:10:00-07:00",
-          "2010-03-07T16:11:00-07:00",
-          "2010-03-07T16:12:00-07:00",
-          "2010-03-07T16:13:00-07:00",
-          "2010-03-07T16:14:00-07:00",
-          "2010-03-07T16:15:00-07:00",
-          "2010-03-07T16:16:00-07:00",
-          "2010-03-07T16:17:00-07:00",
-          "2010-03-07T16:18:00-07:00",
-          "2010-03-07T16:19:00-07:00",
-          "2010-03-07T16:20:00-07:00",
-          "2010-03-07T16:21:00-07:00",
-          "2010-03-07T16:22:00-07:00",
-          "2010-03-07T16:23:00-07:00",
-          "2010-03-07T16:24:00-07:00",
-          "2010-03-07T16:25:00-07:00",
-          "2010-03-07T16:26:00-07:00",
-          "2010-03-07T16:27:00-07:00",
-          "2010-03-07T16:28:00-07:00",
-          "2010-03-07T16:29:00-07:00",
-          "2010-03-07T16:30:00-07:00",
-          "2010-03-07T16:31:00-07:00",
-          "2010-03-07T16:32:00-07:00",
-          "2010-03-07T16:33:00-07:00",
-          "2010-03-07T16:34:00-07:00",
-          "2010-03-07T16:35:00-07:00",
-          "2010-03-07T16:36:00-07:00",
-          "2010-03-07T16:37:00-07:00",
-          "2010-03-07T16:38:00-07:00",
-          "2010-03-07T16:39:00-07:00",
-          "2010-03-07T16:40:00-07:00",
-          "2010-03-07T16:41:00-07:00",
-          "2010-03-07T16:42:00-07:00",
-          "2010-03-07T16:43:00-07:00",
-          "2010-03-07T16:44:00-07:00",
-          "2010-03-07T16:45:00-07:00",
-          "2010-03-07T16:46:00-07:00",
-          "2010-03-07T16:47:00-07:00",
-          "2010-03-07T16:48:00-07:00",
-          "2010-03-07T16:49:00-07:00",
-          "2010-03-07T16:50:00-07:00",
-          "2010-03-07T16:51:00-07:00",
-          "2010-03-07T16:52:00-07:00",
-          "2010-03-07T16:53:00-07:00",
-          "2010-03-07T16:54:00-07:00",
-          "2010-03-07T16:55:00-07:00",
-          "2010-03-07T16:56:00-07:00",
-          "2010-03-07T16:57:00-07:00",
-          "2010-03-07T16:58:00-07:00",
-          "2010-03-07T16:59:00-07:00",
-          "2010-03-07T17:00:00-07:00",
-          "2010-03-07T17:01:00-07:00",
-          "2010-03-07T17:02:00-07:00",
-          "2010-03-07T17:03:00-07:00",
-          "2010-03-07T17:04:00-07:00",
-          "2010-03-07T17:05:00-07:00",
-          "2010-03-07T17:06:00-07:00",
-          "2010-03-07T17:07:00-07:00",
-          "2010-03-07T17:08:00-07:00",
-          "2010-03-07T17:09:00-07:00",
-          "2010-03-07T17:10:00-07:00",
-          "2010-03-07T17:11:00-07:00",
-          "2010-03-07T17:12:00-07:00",
-          "2010-03-07T17:13:00-07:00",
-          "2010-03-07T17:14:00-07:00",
-          "2010-03-07T17:15:00-07:00",
-          "2010-03-07T17:16:00-07:00",
-          "2010-03-07T17:17:00-07:00",
-          "2010-03-07T17:18:00-07:00",
-          "2010-03-07T17:19:00-07:00",
-          "2010-03-07T17:20:00-07:00",
-          "2010-03-07T17:21:00-07:00",
-          "2010-03-07T17:22:00-07:00",
-          "2010-03-07T17:23:00-07:00",
-          "2010-03-07T17:24:00-07:00",
-          "2010-03-07T17:25:00-07:00",
-          "2010-03-07T17:26:00-07:00",
-          "2010-03-07T17:27:00-07:00",
-          "2010-03-07T17:28:00-07:00",
-          "2010-03-07T17:29:00-07:00",
-          "2010-03-07T17:30:00-07:00",
-          "2010-03-07T17:31:00-07:00",
-          "2010-03-07T17:32:00-07:00",
-          "2010-03-07T17:33:00-07:00",
-          "2010-03-07T17:34:00-07:00",
-          "2010-03-07T17:35:00-07:00",
-          "2010-03-07T17:36:00-07:00",
-          "2010-03-07T17:37:00-07:00",
-          "2010-03-07T17:38:00-07:00",
-          "2010-03-07T17:39:00-07:00",
-          "2010-03-07T17:40:00-07:00",
-          "2010-03-07T17:41:00-07:00",
-          "2010-03-07T17:42:00-07:00",
-          "2010-03-07T17:43:00-07:00",
-          "2010-03-07T17:44:00-07:00",
-          "2010-03-07T17:45:00-07:00",
-          "2010-03-07T17:46:00-07:00",
-          "2010-03-07T17:47:00-07:00",
-          "2010-03-07T17:48:00-07:00",
-          "2010-03-07T17:49:00-07:00",
-          "2010-03-07T17:50:00-07:00",
-          "2010-03-07T17:51:00-07:00",
-          "2010-03-07T17:52:00-07:00",
-          "2010-03-07T17:53:00-07:00",
-          "2010-03-07T17:54:00-07:00",
-          "2010-03-07T17:55:00-07:00",
-          "2010-03-07T17:56:00-07:00",
-          "2010-03-07T17:57:00-07:00",
-          "2010-03-07T17:58:00-07:00",
-          "2010-03-07T17:59:00-07:00",
-          "2010-03-07T18:00:00-07:00",
-          "2010-03-07T18:01:00-07:00",
-          "2010-03-07T18:02:00-07:00",
-          "2010-03-07T18:03:00-07:00",
-          "2010-03-07T18:04:00-07:00",
-          "2010-03-07T18:05:00-07:00",
-          "2010-03-07T18:06:00-07:00",
-          "2010-03-07T18:07:00-07:00",
-          "2010-03-07T18:08:00-07:00",
-          "2010-03-07T18:09:00-07:00",
-          "2010-03-07T18:10:00-07:00",
-          "2010-03-07T18:11:00-07:00",
-          "2010-03-07T18:12:00-07:00",
-          "2010-03-07T18:13:00-07:00",
-          "2010-03-07T18:14:00-07:00",
-          "2010-03-07T18:15:00-07:00",
-          "2010-03-07T18:16:00-07:00",
-          "2010-03-07T18:17:00-07:00",
-          "2010-03-07T18:18:00-07:00",
-          "2010-03-07T18:19:00-07:00",
-          "2010-03-07T18:20:00-07:00",
-          "2010-03-07T18:21:00-07:00",
-          "2010-03-07T18:22:00-07:00",
-          "2010-03-07T18:23:00-07:00",
-          "2010-03-07T18:24:00-07:00",
-          "2010-03-07T18:25:00-07:00",
-          "2010-03-07T18:26:00-07:00",
-          "2010-03-07T18:27:00-07:00",
-          "2010-03-07T18:28:00-07:00",
-          "2010-03-07T18:29:00-07:00",
-          "2010-03-07T18:30:00-07:00",
-          "2010-03-07T18:31:00-07:00",
-          "2010-03-07T18:32:00-07:00",
-          "2010-03-07T18:33:00-07:00",
-          "2010-03-07T18:34:00-07:00",
-          "2010-03-07T18:35:00-07:00",
-          "2010-03-07T18:36:00-07:00",
-          "2010-03-07T18:37:00-07:00",
-          "2010-03-07T18:38:00-07:00",
-          "2010-03-07T18:39:00-07:00",
-          "2010-03-07T18:40:00-07:00",
-          "2010-03-07T18:41:00-07:00",
-          "2010-03-07T18:42:00-07:00",
-          "2010-03-07T18:43:00-07:00",
-          "2010-03-07T18:44:00-07:00",
-          "2010-03-07T18:45:00-07:00",
-          "2010-03-07T18:46:00-07:00",
-          "2010-03-07T18:47:00-07:00",
-          "2010-03-07T18:48:00-07:00",
-          "2010-03-07T18:49:00-07:00",
-          "2010-03-07T18:50:00-07:00",
-          "2010-03-07T18:51:00-07:00",
-          "2010-03-07T18:52:00-07:00",
-          "2010-03-07T18:53:00-07:00",
-          "2010-03-07T18:54:00-07:00",
-          "2010-03-07T18:55:00-07:00",
-          "2010-03-07T18:56:00-07:00",
-          "2010-03-07T18:57:00-07:00",
-          "2010-03-07T18:58:00-07:00",
-          "2010-03-07T18:59:00-07:00",
-          "2010-03-07T19:00:00-07:00",
-          "2010-03-07T19:01:00-07:00",
-          "2010-03-07T19:02:00-07:00",
-          "2010-03-07T19:03:00-07:00",
-          "2010-03-07T19:04:00-07:00",
-          "2010-03-07T19:05:00-07:00",
-          "2010-03-07T19:06:00-07:00",
-          "2010-03-07T19:07:00-07:00",
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-          "2010-03-03T12:58:00-07:00",
-          "2010-03-03T13:00:00-07:00",
-          "2010-03-03T13:08:00-07:00",
-          "2010-03-03T13:09:00-07:00",
-          "2010-03-03T13:10:00-07:00",
-          "2010-03-03T13:11:00-07:00",
-          "2010-03-03T13:12:00-07:00",
-          "2010-03-03T13:15:00-07:00",
-          "2010-03-03T13:21:00-07:00",
-          "2010-03-03T13:24:00-07:00",
-          "2010-03-03T13:28:00-07:00",
-          "2010-03-03T13:35:00-07:00",
-          "2010-03-03T13:41:00-07:00",
-          "2010-03-03T13:46:00-07:00",
-          "2010-03-03T13:48:00-07:00",
-          "2010-03-03T13:52:00-07:00",
-          "2010-03-03T13:53:00-07:00",
-          "2010-03-06T10:02:00-07:00",
-          "2010-03-06T10:04:00-07:00",
-          "2010-03-06T10:05:00-07:00",
-          "2010-03-06T10:06:00-07:00",
-          "2010-03-06T10:07:00-07:00",
-          "2010-03-06T10:08:00-07:00",
-          "2010-03-06T10:09:00-07:00",
-          "2010-03-06T10:10:00-07:00",
-          "2010-03-06T10:11:00-07:00",
-          "2010-03-06T10:12:00-07:00",
-          "2010-03-06T10:13:00-07:00",
-          "2010-03-06T10:14:00-07:00",
-          "2010-03-06T10:15:00-07:00",
-          "2010-03-06T10:16:00-07:00",
-          "2010-03-06T10:17:00-07:00",
-          "2010-03-06T10:18:00-07:00",
-          "2010-03-06T10:19:00-07:00",
-          "2010-03-06T10:20:00-07:00",
-          "2010-03-06T10:21:00-07:00",
-          "2010-03-06T10:22:00-07:00",
-          "2010-03-06T10:23:00-07:00",
-          "2010-03-06T10:24:00-07:00",
-          "2010-03-06T10:25:00-07:00",
-          "2010-03-06T10:26:00-07:00",
-          "2010-03-06T10:27:00-07:00",
-          "2010-03-06T10:28:00-07:00",
-          "2010-03-06T10:29:00-07:00",
-          "2010-03-06T10:30:00-07:00",
-          "2010-03-06T10:31:00-07:00",
-          "2010-03-06T10:32:00-07:00",
-          "2010-03-06T10:33:00-07:00",
-          "2010-03-06T10:34:00-07:00",
-          "2010-03-06T10:35:00-07:00",
-          "2010-03-06T10:36:00-07:00",
-          "2010-03-06T10:37:00-07:00",
-          "2010-03-06T10:38:00-07:00",
-          "2010-03-06T10:39:00-07:00",
-          "2010-03-06T10:40:00-07:00",
-          "2010-03-06T10:41:00-07:00",
-          "2010-03-06T10:42:00-07:00",
-          "2010-03-06T10:43:00-07:00",
-          "2010-03-06T10:44:00-07:00",
-          "2010-03-06T10:45:00-07:00",
-          "2010-03-06T10:46:00-07:00",
-          "2010-03-06T10:47:00-07:00",
-          "2010-03-06T10:48:00-07:00",
-          "2010-03-06T10:49:00-07:00",
-          "2010-03-06T10:50:00-07:00",
-          "2010-03-06T10:51:00-07:00",
-          "2010-03-06T10:52:00-07:00",
-          "2010-03-06T10:53:00-07:00",
-          "2010-03-06T10:54:00-07:00",
-          "2010-03-06T10:55:00-07:00",
-          "2010-03-06T10:56:00-07:00",
-          "2010-03-06T10:57:00-07:00",
-          "2010-03-06T10:58:00-07:00",
-          "2010-03-06T10:59:00-07:00",
-          "2010-03-06T11:00:00-07:00",
-          "2010-03-06T11:01:00-07:00",
-          "2010-03-06T11:02:00-07:00",
-          "2010-03-06T11:03:00-07:00",
-          "2010-03-06T11:04:00-07:00",
-          "2010-03-06T11:05:00-07:00",
-          "2010-03-06T11:06:00-07:00",
-          "2010-03-06T11:07:00-07:00",
-          "2010-03-06T11:08:00-07:00",
-          "2010-03-06T11:09:00-07:00",
-          "2010-03-06T11:10:00-07:00",
-          "2010-03-06T11:11:00-07:00",
-          "2010-03-06T11:12:00-07:00",
-          "2010-03-06T11:13:00-07:00",
-          "2010-03-06T11:14:00-07:00",
-          "2010-03-06T11:15:00-07:00",
-          "2010-03-06T11:16:00-07:00",
-          "2010-03-06T11:17:00-07:00",
-          "2010-03-06T11:18:00-07:00",
-          "2010-03-06T11:19:00-07:00",
-          "2010-03-06T11:20:00-07:00",
-          "2010-03-06T11:21:00-07:00",
-          "2010-03-06T11:22:00-07:00",
-          "2010-03-06T11:23:00-07:00",
-          "2010-03-06T11:24:00-07:00",
-          "2010-03-06T11:25:00-07:00",
-          "2010-03-06T11:26:00-07:00",
-          "2010-03-06T11:27:00-07:00",
-          "2010-03-06T11:28:00-07:00",
-          "2010-03-06T11:29:00-07:00",
-          "2010-03-06T11:30:00-07:00",
-          "2010-03-06T11:31:00-07:00",
-          "2010-03-06T11:32:00-07:00",
-          "2010-03-06T11:33:00-07:00",
-          "2010-03-06T11:34:00-07:00",
-          "2010-03-06T11:35:00-07:00",
-          "2010-03-06T11:36:00-07:00",
-          "2010-03-06T11:37:00-07:00",
-          "2010-03-06T11:38:00-07:00",
-          "2010-03-06T11:39:00-07:00",
-          "2010-03-06T11:40:00-07:00",
-          "2010-03-06T11:41:00-07:00",
-          "2010-03-06T11:42:00-07:00",
-          "2010-03-06T11:43:00-07:00",
-          "2010-03-06T11:44:00-07:00",
-          "2010-03-06T11:45:00-07:00",
-          "2010-03-06T11:46:00-07:00",
-          "2010-03-06T11:47:00-07:00",
-          "2010-03-06T11:48:00-07:00",
-          "2010-03-06T11:49:00-07:00",
-          "2010-03-06T11:50:00-07:00",
-          "2010-03-06T11:51:00-07:00",
-          "2010-03-06T11:52:00-07:00",
-          "2010-03-06T11:53:00-07:00",
-          "2010-03-06T11:54:00-07:00",
-          "2010-03-06T11:55:00-07:00",
-          "2010-03-06T11:56:00-07:00",
-          "2010-03-06T11:57:00-07:00",
-          "2010-03-06T11:58:00-07:00",
-          "2010-03-06T11:59:00-07:00",
-          "2010-03-06T12:00:00-07:00",
-          "2010-03-06T12:01:00-07:00",
-          "2010-03-06T12:02:00-07:00",
-          "2010-03-06T12:03:00-07:00",
-          "2010-03-06T12:04:00-07:00",
-          "2010-03-06T12:05:00-07:00",
-          "2010-03-06T12:06:00-07:00",
-          "2010-03-06T12:07:00-07:00",
-          "2010-03-06T12:08:00-07:00",
-          "2010-03-06T12:09:00-07:00",
-          "2010-03-06T12:10:00-07:00",
-          "2010-03-06T12:11:00-07:00",
-          "2010-03-06T12:12:00-07:00",
-          "2010-03-06T12:13:00-07:00",
-          "2010-03-06T12:14:00-07:00",
-          "2010-03-06T12:15:00-07:00",
-          "2010-03-06T12:16:00-07:00",
-          "2010-03-06T12:17:00-07:00",
-          "2010-03-06T12:18:00-07:00",
-          "2010-03-06T12:19:00-07:00",
-          "2010-03-06T12:20:00-07:00",
-          "2010-03-06T12:21:00-07:00",
-          "2010-03-06T12:22:00-07:00",
-          "2010-03-06T12:23:00-07:00",
-          "2010-03-06T12:24:00-07:00",
-          "2010-03-06T12:25:00-07:00",
-          "2010-03-06T12:26:00-07:00",
-          "2010-03-06T12:27:00-07:00",
-          "2010-03-06T12:28:00-07:00",
-          "2010-03-06T12:29:00-07:00",
-          "2010-03-06T12:30:00-07:00",
-          "2010-03-06T12:31:00-07:00",
-          "2010-03-06T12:32:00-07:00",
-          "2010-03-06T12:33:00-07:00",
-          "2010-03-06T12:34:00-07:00",
-          "2010-03-06T12:35:00-07:00",
-          "2010-03-06T12:36:00-07:00",
-          "2010-03-06T12:37:00-07:00",
-          "2010-03-06T12:38:00-07:00",
-          "2010-03-06T12:39:00-07:00",
-          "2010-03-06T12:40:00-07:00",
-          "2010-03-06T12:41:00-07:00",
-          "2010-03-06T12:42:00-07:00",
-          "2010-03-06T12:43:00-07:00",
-          "2010-03-06T12:44:00-07:00",
-          "2010-03-06T12:45:00-07:00",
-          "2010-03-06T12:46:00-07:00",
-          "2010-03-06T12:47:00-07:00",
-          "2010-03-06T12:48:00-07:00",
-          "2010-03-06T12:49:00-07:00",
-          "2010-03-06T12:50:00-07:00",
-          "2010-03-06T12:51:00-07:00",
-          "2010-03-06T12:52:00-07:00",
-          "2010-03-06T12:53:00-07:00",
-          "2010-03-06T12:54:00-07:00",
-          "2010-03-06T12:55:00-07:00",
-          "2010-03-06T12:56:00-07:00",
-          "2010-03-06T12:57:00-07:00",
-          "2010-03-06T12:58:00-07:00",
-          "2010-03-06T12:59:00-07:00",
-          "2010-03-06T13:00:00-07:00",
-          "2010-03-06T13:01:00-07:00",
-          "2010-03-06T13:02:00-07:00",
-          "2010-03-06T13:03:00-07:00",
-          "2010-03-06T13:04:00-07:00",
-          "2010-03-06T13:05:00-07:00",
-          "2010-03-06T13:06:00-07:00",
-          "2010-03-06T13:07:00-07:00",
-          "2010-03-06T13:08:00-07:00",
-          "2010-03-06T13:09:00-07:00",
-          "2010-03-06T13:10:00-07:00",
-          "2010-03-06T13:11:00-07:00",
-          "2010-03-06T13:12:00-07:00",
-          "2010-03-06T13:13:00-07:00",
-          "2010-03-06T13:14:00-07:00",
-          "2010-03-06T13:15:00-07:00",
-          "2010-03-06T13:16:00-07:00",
-          "2010-03-06T13:17:00-07:00",
-          "2010-03-06T13:18:00-07:00",
-          "2010-03-06T13:19:00-07:00",
-          "2010-03-06T13:20:00-07:00",
-          "2010-03-06T13:21:00-07:00",
-          "2010-03-06T13:22:00-07:00",
-          "2010-03-06T13:23:00-07:00",
-          "2010-03-06T13:24:00-07:00",
-          "2010-03-06T13:25:00-07:00",
-          "2010-03-06T13:26:00-07:00",
-          "2010-03-06T13:27:00-07:00",
-          "2010-03-06T13:28:00-07:00",
-          "2010-03-06T13:29:00-07:00",
-          "2010-03-06T13:30:00-07:00",
-          "2010-03-07T09:42:00-07:00",
-          "2010-03-07T09:43:00-07:00",
-          "2010-03-07T09:44:00-07:00",
-          "2010-03-07T09:47:00-07:00",
-          "2010-03-07T09:48:00-07:00",
-          "2010-03-07T09:49:00-07:00",
-          "2010-03-07T09:50:00-07:00",
-          "2010-03-07T09:51:00-07:00",
-          "2010-03-07T09:52:00-07:00",
-          "2010-03-07T09:53:00-07:00",
-          "2010-03-07T09:54:00-07:00",
-          "2010-03-07T09:55:00-07:00",
-          "2010-03-07T09:56:00-07:00",
-          "2010-03-07T09:57:00-07:00",
-          "2010-03-07T09:59:00-07:00",
-          "2010-03-07T10:00:00-07:00",
-          "2010-03-07T10:01:00-07:00",
-          "2010-03-07T10:02:00-07:00",
-          "2010-03-07T10:03:00-07:00",
-          "2010-03-07T10:05:00-07:00",
-          "2010-03-07T10:06:00-07:00",
-          "2010-03-07T10:08:00-07:00",
-          "2010-03-07T10:09:00-07:00",
-          "2010-03-07T10:10:00-07:00",
-          "2010-03-07T10:11:00-07:00",
-          "2010-03-07T10:12:00-07:00",
-          "2010-03-07T10:13:00-07:00",
-          "2010-03-07T10:14:00-07:00",
-          "2010-03-07T10:15:00-07:00",
-          "2010-03-07T10:16:00-07:00",
-          "2010-03-07T10:17:00-07:00",
-          "2010-03-07T10:18:00-07:00",
-          "2010-03-07T10:19:00-07:00",
-          "2010-03-07T10:20:00-07:00",
-          "2010-03-07T10:21:00-07:00",
-          "2010-03-07T10:22:00-07:00",
-          "2010-03-07T10:23:00-07:00",
-          "2010-03-07T10:24:00-07:00",
-          "2010-03-07T10:25:00-07:00",
-          "2010-03-07T10:26:00-07:00",
-          "2010-03-07T10:27:00-07:00",
-          "2010-03-07T10:28:00-07:00",
-          "2010-03-07T10:32:00-07:00",
-          "2010-03-07T10:33:00-07:00",
-          "2010-03-07T10:34:00-07:00",
-          "2010-03-07T10:35:00-07:00",
-          "2010-03-07T10:36:00-07:00",
-          "2010-03-07T10:37:00-07:00",
-          "2010-03-07T10:38:00-07:00",
-          "2010-03-07T10:39:00-07:00",
-          "2010-03-07T10:40:00-07:00",
-          "2010-03-07T10:41:00-07:00",
-          "2010-03-07T10:44:00-07:00",
-          "2010-03-07T10:45:00-07:00",
-          "2010-03-07T10:46:00-07:00",
-          "2010-03-07T10:47:00-07:00",
-          "2010-03-07T10:48:00-07:00",
-          "2010-03-07T10:49:00-07:00",
-          "2010-03-07T10:50:00-07:00",
-          "2010-03-07T10:51:00-07:00",
-          "2010-03-07T10:55:00-07:00",
-          "2010-03-07T10:57:00-07:00",
-          "2010-03-07T10:58:00-07:00",
-          "2010-03-07T11:00:00-07:00",
-          "2010-03-07T11:01:00-07:00",
-          "2010-03-07T11:02:00-07:00",
-          "2010-03-07T11:03:00-07:00",
-          "2010-03-07T11:04:00-07:00",
-          "2010-03-07T11:05:00-07:00",
-          "2010-03-07T11:06:00-07:00",
-          "2010-03-07T11:07:00-07:00",
-          "2010-03-07T11:08:00-07:00",
-          "2010-03-07T11:09:00-07:00",
-          "2010-03-07T11:10:00-07:00",
-          "2010-03-07T11:11:00-07:00",
-          "2010-03-07T11:12:00-07:00",
-          "2010-03-07T11:13:00-07:00",
-          "2010-03-07T11:14:00-07:00",
-          "2010-03-07T11:15:00-07:00",
-          "2010-03-07T11:16:00-07:00",
-          "2010-03-07T11:17:00-07:00",
-          "2010-03-07T11:18:00-07:00",
-          "2010-03-07T11:19:00-07:00",
-          "2010-03-07T11:20:00-07:00",
-          "2010-03-07T11:21:00-07:00",
-          "2010-03-07T11:22:00-07:00",
-          "2010-03-07T11:23:00-07:00",
-          "2010-03-07T11:24:00-07:00",
-          "2010-03-07T11:25:00-07:00",
-          "2010-03-07T11:26:00-07:00",
-          "2010-03-07T11:27:00-07:00",
-          "2010-03-07T11:28:00-07:00",
-          "2010-03-07T11:29:00-07:00",
-          "2010-03-07T11:30:00-07:00",
-          "2010-03-07T11:31:00-07:00",
-          "2010-03-07T11:32:00-07:00",
-          "2010-03-07T11:33:00-07:00",
-          "2010-03-07T11:34:00-07:00",
-          "2010-03-07T11:35:00-07:00",
-          "2010-03-07T11:36:00-07:00",
-          "2010-03-07T11:37:00-07:00",
-          "2010-03-07T11:38:00-07:00",
-          "2010-03-07T11:39:00-07:00",
-          "2010-03-07T11:40:00-07:00",
-          "2010-03-07T11:41:00-07:00",
-          "2010-03-07T11:42:00-07:00",
-          "2010-03-07T11:43:00-07:00",
-          "2010-03-07T11:44:00-07:00",
-          "2010-03-07T11:45:00-07:00",
-          "2010-03-07T11:46:00-07:00",
-          "2010-03-07T11:47:00-07:00",
-          "2010-03-07T11:48:00-07:00",
-          "2010-03-07T11:49:00-07:00",
-          "2010-03-07T11:50:00-07:00",
-          "2010-03-07T11:54:00-07:00",
-          "2010-03-07T11:55:00-07:00",
-          "2010-03-07T11:56:00-07:00",
-          "2010-03-07T11:57:00-07:00",
-          "2010-03-07T11:58:00-07:00",
-          "2010-03-07T11:59:00-07:00",
-          "2010-03-07T12:00:00-07:00",
-          "2010-03-07T12:01:00-07:00",
-          "2010-03-07T12:02:00-07:00",
-          "2010-03-07T12:03:00-07:00",
-          "2010-03-07T12:04:00-07:00",
-          "2010-03-07T12:05:00-07:00",
-          "2010-03-07T12:06:00-07:00",
-          "2010-03-07T12:07:00-07:00",
-          "2010-03-07T12:08:00-07:00",
-          "2010-03-07T12:09:00-07:00",
-          "2010-03-07T12:10:00-07:00",
-          "2010-03-07T12:11:00-07:00",
-          "2010-03-07T12:12:00-07:00",
-          "2010-03-07T12:13:00-07:00",
-          "2010-03-07T12:14:00-07:00",
-          "2010-03-07T12:15:00-07:00",
-          "2010-03-07T12:16:00-07:00",
-          "2010-03-07T12:17:00-07:00",
-          "2010-03-07T12:18:00-07:00",
-          "2010-03-07T12:19:00-07:00",
-          "2010-03-07T12:20:00-07:00",
-          "2010-03-07T12:21:00-07:00",
-          "2010-03-07T12:22:00-07:00",
-          "2010-03-07T12:23:00-07:00",
-          "2010-03-07T12:24:00-07:00",
-          "2010-03-07T12:27:00-07:00",
-          "2010-03-07T12:28:00-07:00",
-          "2010-03-07T12:29:00-07:00",
-          "2010-03-07T12:32:00-07:00",
-          "2010-03-07T12:33:00-07:00",
-          "2010-03-07T12:34:00-07:00",
-          "2010-03-07T12:35:00-07:00",
-          "2010-03-07T12:36:00-07:00",
-          "2010-03-07T12:37:00-07:00",
-          "2010-03-07T12:38:00-07:00",
-          "2010-03-07T12:39:00-07:00",
-          "2010-03-07T12:40:00-07:00",
-          "2010-03-07T12:41:00-07:00",
-          "2010-03-07T12:42:00-07:00",
-          "2010-03-07T12:43:00-07:00",
-          "2010-03-07T12:44:00-07:00",
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\"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"datetime\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"ac_power\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
-       "                            \n",
-       "var gd = document.getElementById('38d031ff-b262-41fb-9612-ce61241e2cf1');\n",
-       "var x = new MutationObserver(function (mutations, observer) {{\n",
-       "        var display = window.getComputedStyle(gd).display;\n",
-       "        if (!display || display === 'none') {{\n",
-       "            console.log([gd, 'removed!']);\n",
-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
-       "        }}\n",
-       "}});\n",
-       "\n",
-       "// Listen for the removal of the full notebook cells\n",
-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "                        })                };                });            </script>        </div>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# NBVAL_IGNORE_OUTPUT\n",
-    "rdtools.tune_filter_plot(example_subset['ac_power'], clip_mask_xgboost)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-          "2010-02-25T17:59:00-07:00",
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-          "2010-02-25T19:08:00-07:00",
-          "2010-02-25T19:09:00-07:00",
-          "2010-02-25T19:10:00-07:00",
-          "2010-02-25T19:11:00-07:00",
-          "2010-02-25T19:12:00-07:00",
-          "2010-02-25T19:13:00-07:00",
-          "2010-02-25T19:14:00-07:00",
-          "2010-02-25T19:15:00-07:00",
-          "2010-02-25T19:16:00-07:00",
-          "2010-02-25T19:17:00-07:00",
-          "2010-02-25T19:18:00-07:00",
-          "2010-02-25T19:19:00-07:00",
-          "2010-02-25T19:20:00-07:00",
-          "2010-02-25T19:21:00-07:00",
-          "2010-02-25T19:22:00-07:00",
-          "2010-02-25T19:23:00-07:00",
-          "2010-02-25T19:24:00-07:00",
-          "2010-02-25T19:25:00-07:00",
-          "2010-02-25T19:26:00-07:00",
-          "2010-02-25T19:27:00-07:00",
-          "2010-02-25T19:28:00-07:00",
-          "2010-02-25T19:29:00-07:00",
-          "2010-02-25T19:30:00-07:00",
-          "2010-02-25T19:31:00-07:00",
-          "2010-02-25T19:32:00-07:00",
-          "2010-02-25T19:33:00-07:00",
-          "2010-02-25T19:34:00-07:00",
-          "2010-02-25T19:35:00-07:00",
-          "2010-02-25T19:36:00-07:00",
-          "2010-02-25T19:37:00-07:00",
-          "2010-02-25T19:38:00-07:00",
-          "2010-02-25T19:39:00-07:00",
-          "2010-02-25T19:40:00-07:00",
-          "2010-02-25T19:41:00-07:00",
-          "2010-02-25T19:42:00-07:00",
-          "2010-02-25T19:43:00-07:00",
-          "2010-02-25T19:44:00-07:00",
-          "2010-02-25T19:45:00-07:00",
-          "2010-02-25T19:46:00-07:00",
-          "2010-02-25T19:47:00-07:00",
-          "2010-02-25T19:48:00-07:00",
-          "2010-02-25T19:49:00-07:00",
-          "2010-02-25T19:50:00-07:00",
-          "2010-02-25T19:51:00-07:00",
-          "2010-02-25T19:52:00-07:00",
-          "2010-02-25T19:53:00-07:00",
-          "2010-02-25T19:54:00-07:00",
-          "2010-02-25T19:55:00-07:00",
-          "2010-02-25T19:56:00-07:00",
-          "2010-02-25T19:57:00-07:00",
-          "2010-02-25T19:58:00-07:00",
-          "2010-02-25T19:59:00-07:00",
-          "2010-02-25T20:00:00-07:00",
-          "2010-02-25T20:01:00-07:00",
-          "2010-02-25T20:02:00-07:00",
-          "2010-02-25T20:03:00-07:00",
-          "2010-02-25T20:04:00-07:00",
-          "2010-02-25T20:05:00-07:00",
-          "2010-02-25T20:06:00-07:00",
-          "2010-02-25T20:07:00-07:00",
-          "2010-02-25T20:08:00-07:00",
-          "2010-02-25T20:09:00-07:00",
-          "2010-02-25T20:10:00-07:00",
-          "2010-02-25T20:11:00-07:00",
-          "2010-02-25T20:12:00-07:00",
-          "2010-02-25T20:13:00-07:00",
-          "2010-02-25T20:14:00-07:00",
-          "2010-02-25T20:15:00-07:00",
-          "2010-02-25T20:16:00-07:00",
-          "2010-02-25T20:17:00-07:00",
-          "2010-02-25T20:18:00-07:00",
-          "2010-02-25T20:19:00-07:00",
-          "2010-02-25T20:20:00-07:00",
-          "2010-02-25T20:21:00-07:00",
-          "2010-02-25T20:22:00-07:00",
-          "2010-02-25T20:23:00-07:00",
-          "2010-02-25T20:24:00-07:00",
-          "2010-02-25T20:25:00-07:00",
-          "2010-02-25T20:26:00-07:00",
-          "2010-02-25T20:27:00-07:00",
-          "2010-02-25T20:28:00-07:00",
-          "2010-02-25T20:29:00-07:00",
-          "2010-02-25T20:30:00-07:00",
-          "2010-02-25T20:31:00-07:00",
-          "2010-02-25T20:32:00-07:00",
-          "2010-02-25T20:33:00-07:00",
-          "2010-02-25T20:34:00-07:00",
-          "2010-02-25T20:35:00-07:00",
-          "2010-02-25T20:36:00-07:00",
-          "2010-02-25T20:37:00-07:00",
-          "2010-02-25T20:38:00-07:00",
-          "2010-02-25T20:39:00-07:00",
-          "2010-02-25T20:40:00-07:00",
-          "2010-02-25T20:41:00-07:00",
-          "2010-02-25T20:42:00-07:00",
-          "2010-02-25T20:43:00-07:00",
-          "2010-02-25T20:44:00-07:00",
-          "2010-02-25T20:45:00-07:00",
-          "2010-02-25T20:46:00-07:00",
-          "2010-02-25T20:47:00-07:00",
-          "2010-02-25T20:48:00-07:00",
-          "2010-02-25T20:49:00-07:00",
-          "2010-02-25T20:50:00-07:00",
-          "2010-02-25T20:51:00-07:00",
-          "2010-02-25T20:52:00-07:00",
-          "2010-02-25T20:53:00-07:00",
-          "2010-02-25T20:54:00-07:00",
-          "2010-02-25T20:55:00-07:00",
-          "2010-02-25T20:56:00-07:00",
-          "2010-02-25T20:57:00-07:00",
-          "2010-02-25T20:58:00-07:00",
-          "2010-02-25T20:59:00-07:00",
-          "2010-02-25T21:00:00-07:00",
-          "2010-02-25T21:01:00-07:00",
-          "2010-02-25T21:02:00-07:00",
-          "2010-02-25T21:03:00-07:00",
-          "2010-02-25T21:04:00-07:00",
-          "2010-02-25T21:05:00-07:00",
-          "2010-02-25T21:06:00-07:00",
-          "2010-02-25T21:07:00-07:00",
-          "2010-02-25T21:08:00-07:00",
-          "2010-02-25T21:09:00-07:00",
-          "2010-02-25T21:10:00-07:00",
-          "2010-02-25T21:11:00-07:00",
-          "2010-02-25T21:12:00-07:00",
-          "2010-02-25T21:13:00-07:00",
-          "2010-02-25T21:14:00-07:00",
-          "2010-02-25T21:15:00-07:00",
-          "2010-02-25T21:16:00-07:00",
-          "2010-02-25T21:17:00-07:00",
-          "2010-02-25T21:18:00-07:00",
-          "2010-02-25T21:19:00-07:00",
-          "2010-02-25T21:20:00-07:00",
-          "2010-02-25T21:21:00-07:00",
-          "2010-02-25T21:22:00-07:00",
-          "2010-02-25T21:23:00-07:00",
-          "2010-02-25T21:24:00-07:00",
-          "2010-02-25T21:25:00-07:00",
-          "2010-02-25T21:26:00-07:00",
-          "2010-02-25T21:27:00-07:00",
-          "2010-02-25T21:28:00-07:00",
-          "2010-02-25T21:29:00-07:00",
-          "2010-02-25T21:30:00-07:00",
-          "2010-02-25T21:31:00-07:00",
-          "2010-02-25T21:32:00-07:00",
-          "2010-02-25T21:33:00-07:00",
-          "2010-02-25T21:34:00-07:00",
-          "2010-02-25T21:35:00-07:00",
-          "2010-02-25T21:36:00-07:00",
-          "2010-02-25T21:37:00-07:00",
-          "2010-02-25T21:38:00-07:00",
-          "2010-02-25T21:39:00-07:00",
-          "2010-02-25T21:40:00-07:00",
-          "2010-02-25T21:41:00-07:00",
-          "2010-02-25T21:42:00-07:00",
-          "2010-02-25T21:43:00-07:00",
-          "2010-02-25T21:44:00-07:00",
-          "2010-02-25T21:45:00-07:00",
-          "2010-02-25T21:46:00-07:00",
-          "2010-02-25T21:47:00-07:00",
-          "2010-02-25T21:48:00-07:00",
-          "2010-02-25T21:49:00-07:00",
-          "2010-02-25T21:50:00-07:00",
-          "2010-02-25T21:51:00-07:00",
-          "2010-02-25T21:52:00-07:00",
-          "2010-02-25T21:53:00-07:00",
-          "2010-02-25T21:54:00-07:00",
-          "2010-02-25T21:55:00-07:00",
-          "2010-02-25T21:56:00-07:00",
-          "2010-02-25T21:57:00-07:00",
-          "2010-02-25T21:58:00-07:00",
-          "2010-02-25T21:59:00-07:00",
-          "2010-02-25T22:00:00-07:00",
-          "2010-02-25T22:01:00-07:00",
-          "2010-02-25T22:02:00-07:00",
-          "2010-02-25T22:03:00-07:00",
-          "2010-02-25T22:04:00-07:00",
-          "2010-02-25T22:05:00-07:00",
-          "2010-02-25T22:06:00-07:00",
-          "2010-02-25T22:07:00-07:00",
-          "2010-02-25T22:08:00-07:00",
-          "2010-02-25T22:09:00-07:00",
-          "2010-02-25T22:10:00-07:00",
-          "2010-02-25T22:11:00-07:00",
-          "2010-02-25T22:12:00-07:00",
-          "2010-02-25T22:13:00-07:00",
-          "2010-02-25T22:14:00-07:00",
-          "2010-02-25T22:15:00-07:00",
-          "2010-02-25T22:16:00-07:00",
-          "2010-02-25T22:17:00-07:00",
-          "2010-02-25T22:18:00-07:00",
-          "2010-02-25T22:19:00-07:00",
-          "2010-02-25T22:20:00-07:00",
-          "2010-02-25T22:21:00-07:00",
-          "2010-02-25T22:22:00-07:00",
-          "2010-02-25T22:23:00-07:00",
-          "2010-02-25T22:24:00-07:00",
-          "2010-02-25T22:25:00-07:00",
-          "2010-02-25T22:26:00-07:00",
-          "2010-02-25T22:27:00-07:00",
-          "2010-02-25T22:28:00-07:00",
-          "2010-02-25T22:29:00-07:00",
-          "2010-02-25T22:30:00-07:00",
-          "2010-02-25T22:31:00-07:00",
-          "2010-02-25T22:32:00-07:00",
-          "2010-02-25T22:33:00-07:00",
-          "2010-02-25T22:34:00-07:00",
-          "2010-02-25T22:35:00-07:00",
-          "2010-02-25T22:36:00-07:00",
-          "2010-02-25T22:37:00-07:00",
-          "2010-02-25T22:38:00-07:00",
-          "2010-02-25T22:39:00-07:00",
-          "2010-02-25T22:40:00-07:00",
-          "2010-02-25T22:41:00-07:00",
-          "2010-02-25T22:42:00-07:00",
-          "2010-02-25T22:43:00-07:00",
-          "2010-02-25T22:44:00-07:00",
-          "2010-02-25T22:45:00-07:00",
-          "2010-02-25T22:46:00-07:00",
-          "2010-02-25T22:47:00-07:00",
-          "2010-02-25T22:48:00-07:00",
-          "2010-02-25T22:49:00-07:00",
-          "2010-02-25T22:50:00-07:00",
-          "2010-02-25T22:51:00-07:00",
-          "2010-02-25T22:52:00-07:00",
-          "2010-02-25T22:53:00-07:00",
-          "2010-02-25T22:54:00-07:00",
-          "2010-02-25T22:55:00-07:00",
-          "2010-02-25T22:56:00-07:00",
-          "2010-02-25T22:57:00-07:00",
-          "2010-02-25T22:58:00-07:00",
-          "2010-02-25T22:59:00-07:00",
-          "2010-02-25T23:00:00-07:00",
-          "2010-02-25T23:01:00-07:00",
-          "2010-02-25T23:02:00-07:00",
-          "2010-02-25T23:03:00-07:00",
-          "2010-02-25T23:04:00-07:00",
-          "2010-02-25T23:05:00-07:00",
-          "2010-02-25T23:06:00-07:00",
-          "2010-02-25T23:07:00-07:00",
-          "2010-02-25T23:08:00-07:00",
-          "2010-02-25T23:09:00-07:00",
-          "2010-02-25T23:10:00-07:00",
-          "2010-02-25T23:11:00-07:00",
-          "2010-02-25T23:12:00-07:00",
-          "2010-02-25T23:13:00-07:00",
-          "2010-02-25T23:14:00-07:00",
-          "2010-02-25T23:15:00-07:00",
-          "2010-02-25T23:16:00-07:00",
-          "2010-02-25T23:17:00-07:00",
-          "2010-02-25T23:18:00-07:00",
-          "2010-02-25T23:19:00-07:00",
-          "2010-02-25T23:20:00-07:00",
-          "2010-02-25T23:21:00-07:00",
-          "2010-02-25T23:22:00-07:00",
-          "2010-02-25T23:23:00-07:00",
-          "2010-02-25T23:24:00-07:00",
-          "2010-02-25T23:25:00-07:00",
-          "2010-02-25T23:26:00-07:00",
-          "2010-02-25T23:27:00-07:00",
-          "2010-02-25T23:28:00-07:00",
-          "2010-02-25T23:29:00-07:00",
-          "2010-02-25T23:30:00-07:00",
-          "2010-02-25T23:31:00-07:00",
-          "2010-02-25T23:32:00-07:00",
-          "2010-02-25T23:33:00-07:00",
-          "2010-02-25T23:34:00-07:00",
-          "2010-02-25T23:35:00-07:00",
-          "2010-02-25T23:36:00-07:00",
-          "2010-02-25T23:37:00-07:00",
-          "2010-02-25T23:38:00-07:00",
-          "2010-02-25T23:39:00-07:00",
-          "2010-02-25T23:40:00-07:00",
-          "2010-02-25T23:41:00-07:00",
-          "2010-02-25T23:42:00-07:00",
-          "2010-02-25T23:43:00-07:00",
-          "2010-02-25T23:44:00-07:00",
-          "2010-02-25T23:45:00-07:00",
-          "2010-02-25T23:46:00-07:00",
-          "2010-02-25T23:47:00-07:00",
-          "2010-02-25T23:48:00-07:00",
-          "2010-02-25T23:49:00-07:00",
-          "2010-02-25T23:50:00-07:00",
-          "2010-02-25T23:51:00-07:00",
-          "2010-02-25T23:52:00-07:00",
-          "2010-02-25T23:53:00-07:00",
-          "2010-02-25T23:54:00-07:00",
-          "2010-02-25T23:55:00-07:00",
-          "2010-02-25T23:56:00-07:00",
-          "2010-02-25T23:57:00-07:00",
-          "2010-02-25T23:58:00-07:00",
-          "2010-02-25T23:59:00-07:00",
-          "2010-02-26T00:00:00-07:00",
-          "2010-02-26T00:01:00-07:00",
-          "2010-02-26T00:02:00-07:00",
-          "2010-02-26T00:03:00-07:00",
-          "2010-02-26T00:04:00-07:00",
-          "2010-02-26T00:05:00-07:00",
-          "2010-02-26T00:06:00-07:00",
-          "2010-02-26T00:07:00-07:00",
-          "2010-02-26T00:08:00-07:00",
-          "2010-02-26T00:09:00-07:00",
-          "2010-02-26T00:10:00-07:00",
-          "2010-02-26T00:11:00-07:00",
-          "2010-02-26T00:12:00-07:00",
-          "2010-02-26T00:13:00-07:00",
-          "2010-02-26T00:14:00-07:00",
-          "2010-02-26T00:15:00-07:00",
-          "2010-02-26T00:16:00-07:00",
-          "2010-02-26T00:17:00-07:00",
-          "2010-02-26T00:18:00-07:00",
-          "2010-02-26T00:19:00-07:00",
-          "2010-02-26T00:20:00-07:00",
-          "2010-02-26T00:21:00-07:00",
-          "2010-02-26T00:22:00-07:00",
-          "2010-02-26T00:23:00-07:00",
-          "2010-02-26T00:24:00-07:00",
-          "2010-02-26T00:25:00-07:00",
-          "2010-02-26T00:26:00-07:00",
-          "2010-02-26T00:27:00-07:00",
-          "2010-02-26T00:28:00-07:00",
-          "2010-02-26T00:29:00-07:00",
-          "2010-02-26T00:30:00-07:00",
-          "2010-02-26T00:31:00-07:00",
-          "2010-02-26T00:32:00-07:00",
-          "2010-02-26T00:33:00-07:00",
-          "2010-02-26T00:34:00-07:00",
-          "2010-02-26T00:35:00-07:00",
-          "2010-02-26T00:36:00-07:00",
-          "2010-02-26T00:37:00-07:00",
-          "2010-02-26T00:38:00-07:00",
-          "2010-02-26T00:39:00-07:00",
-          "2010-02-26T00:40:00-07:00",
-          "2010-02-26T00:41:00-07:00",
-          "2010-02-26T00:42:00-07:00",
-          "2010-02-26T00:43:00-07:00",
-          "2010-02-26T00:44:00-07:00",
-          "2010-02-26T00:45:00-07:00",
-          "2010-02-26T00:46:00-07:00",
-          "2010-02-26T00:47:00-07:00",
-          "2010-02-26T00:48:00-07:00",
-          "2010-02-26T00:49:00-07:00",
-          "2010-02-26T00:50:00-07:00",
-          "2010-02-26T00:51:00-07:00",
-          "2010-02-26T00:52:00-07:00",
-          "2010-02-26T00:53:00-07:00",
-          "2010-02-26T00:54:00-07:00",
-          "2010-02-26T00:55:00-07:00",
-          "2010-02-26T00:56:00-07:00",
-          "2010-02-26T00:57:00-07:00",
-          "2010-02-26T00:58:00-07:00",
-          "2010-02-26T00:59:00-07:00",
-          "2010-02-26T01:00:00-07:00",
-          "2010-02-26T01:01:00-07:00",
-          "2010-02-26T01:02:00-07:00",
-          "2010-02-26T01:03:00-07:00",
-          "2010-02-26T01:04:00-07:00",
-          "2010-02-26T01:05:00-07:00",
-          "2010-02-26T01:06:00-07:00",
-          "2010-02-26T01:07:00-07:00",
-          "2010-02-26T01:08:00-07:00",
-          "2010-02-26T01:09:00-07:00",
-          "2010-02-26T01:10:00-07:00",
-          "2010-02-26T01:11:00-07:00",
-          "2010-02-26T01:12:00-07:00",
-          "2010-02-26T01:13:00-07:00",
-          "2010-02-26T01:14:00-07:00",
-          "2010-02-26T01:15:00-07:00",
-          "2010-02-26T01:16:00-07:00",
-          "2010-02-26T01:17:00-07:00",
-          "2010-02-26T01:18:00-07:00",
-          "2010-02-26T01:19:00-07:00",
-          "2010-02-26T01:20:00-07:00",
-          "2010-02-26T01:21:00-07:00",
-          "2010-02-26T01:22:00-07:00",
-          "2010-02-26T01:23:00-07:00",
-          "2010-02-26T01:24:00-07:00",
-          "2010-02-26T01:25:00-07:00",
-          "2010-02-26T01:26:00-07:00",
-          "2010-02-26T01:27:00-07:00",
-          "2010-02-26T01:28:00-07:00",
-          "2010-02-26T01:29:00-07:00",
-          "2010-02-26T01:30:00-07:00",
-          "2010-02-26T01:31:00-07:00",
-          "2010-02-26T01:32:00-07:00",
-          "2010-02-26T01:33:00-07:00",
-          "2010-02-26T01:34:00-07:00",
-          "2010-02-26T01:35:00-07:00",
-          "2010-02-26T01:36:00-07:00",
-          "2010-02-26T01:37:00-07:00",
-          "2010-02-26T01:38:00-07:00",
-          "2010-02-26T01:39:00-07:00",
-          "2010-02-26T01:40:00-07:00",
-          "2010-02-26T01:41:00-07:00",
-          "2010-02-26T01:42:00-07:00",
-          "2010-02-26T01:43:00-07:00",
-          "2010-02-26T01:44:00-07:00",
-          "2010-02-26T01:45:00-07:00",
-          "2010-02-26T01:46:00-07:00",
-          "2010-02-26T01:47:00-07:00",
-          "2010-02-26T01:48:00-07:00",
-          "2010-02-26T01:49:00-07:00",
-          "2010-02-26T01:50:00-07:00",
-          "2010-02-26T01:51:00-07:00",
-          "2010-02-26T01:52:00-07:00",
-          "2010-02-26T01:53:00-07:00",
-          "2010-02-26T01:54:00-07:00",
-          "2010-02-26T01:55:00-07:00",
-          "2010-02-26T01:56:00-07:00",
-          "2010-02-26T01:57:00-07:00",
-          "2010-02-26T01:58:00-07:00",
-          "2010-02-26T01:59:00-07:00",
-          "2010-02-26T02:00:00-07:00",
-          "2010-02-26T02:01:00-07:00",
-          "2010-02-26T02:02:00-07:00",
-          "2010-02-26T02:03:00-07:00",
-          "2010-02-26T02:04:00-07:00",
-          "2010-02-26T02:05:00-07:00",
-          "2010-02-26T02:06:00-07:00",
-          "2010-02-26T02:07:00-07:00",
-          "2010-02-26T02:08:00-07:00",
-          "2010-02-26T02:09:00-07:00",
-          "2010-02-26T02:10:00-07:00",
-          "2010-02-26T02:11:00-07:00",
-          "2010-02-26T02:12:00-07:00",
-          "2010-02-26T02:13:00-07:00",
-          "2010-02-26T02:14:00-07:00",
-          "2010-02-26T02:15:00-07:00",
-          "2010-02-26T02:16:00-07:00",
-          "2010-02-26T02:17:00-07:00",
-          "2010-02-26T02:18:00-07:00",
-          "2010-02-26T02:19:00-07:00",
-          "2010-02-26T02:20:00-07:00",
-          "2010-02-26T02:21:00-07:00",
-          "2010-02-26T02:22:00-07:00",
-          "2010-02-26T02:23:00-07:00",
-          "2010-02-26T02:24:00-07:00",
-          "2010-02-26T02:25:00-07:00",
-          "2010-02-26T02:26:00-07:00",
-          "2010-02-26T02:27:00-07:00",
-          "2010-02-26T02:28:00-07:00",
-          "2010-02-26T02:29:00-07:00",
-          "2010-02-26T02:30:00-07:00",
-          "2010-02-26T02:31:00-07:00",
-          "2010-02-26T02:32:00-07:00",
-          "2010-02-26T02:33:00-07:00",
-          "2010-02-26T02:34:00-07:00",
-          "2010-02-26T02:35:00-07:00",
-          "2010-02-26T02:36:00-07:00",
-          "2010-02-26T02:37:00-07:00",
-          "2010-02-26T02:38:00-07:00",
-          "2010-02-26T02:39:00-07:00",
-          "2010-02-26T02:40:00-07:00",
-          "2010-02-26T02:41:00-07:00",
-          "2010-02-26T02:42:00-07:00",
-          "2010-02-26T02:43:00-07:00",
-          "2010-02-26T02:44:00-07:00",
-          "2010-02-26T02:45:00-07:00",
-          "2010-02-26T02:46:00-07:00",
-          "2010-02-26T02:47:00-07:00",
-          "2010-02-26T02:48:00-07:00",
-          "2010-02-26T02:49:00-07:00",
-          "2010-02-26T02:50:00-07:00",
-          "2010-02-26T02:51:00-07:00",
-          "2010-02-26T02:52:00-07:00",
-          "2010-02-26T02:53:00-07:00",
-          "2010-02-26T02:54:00-07:00",
-          "2010-02-26T02:55:00-07:00",
-          "2010-02-26T02:56:00-07:00",
-          "2010-02-26T02:57:00-07:00",
-          "2010-02-26T02:58:00-07:00",
-          "2010-02-26T02:59:00-07:00",
-          "2010-02-26T03:00:00-07:00",
-          "2010-02-26T03:01:00-07:00",
-          "2010-02-26T03:02:00-07:00",
-          "2010-02-26T03:03:00-07:00",
-          "2010-02-26T03:04:00-07:00",
-          "2010-02-26T03:05:00-07:00",
-          "2010-02-26T03:06:00-07:00",
-          "2010-02-26T03:07:00-07:00",
-          "2010-02-26T03:08:00-07:00",
-          "2010-02-26T03:09:00-07:00",
-          "2010-02-26T03:10:00-07:00",
-          "2010-02-26T03:11:00-07:00",
-          "2010-02-26T03:12:00-07:00",
-          "2010-02-26T03:13:00-07:00",
-          "2010-02-26T03:14:00-07:00",
-          "2010-02-26T03:15:00-07:00",
-          "2010-02-26T03:16:00-07:00",
-          "2010-02-26T03:17:00-07:00",
-          "2010-02-26T03:18:00-07:00",
-          "2010-02-26T03:19:00-07:00",
-          "2010-02-26T03:20:00-07:00",
-          "2010-02-26T03:21:00-07:00",
-          "2010-02-26T03:22:00-07:00",
-          "2010-02-26T03:23:00-07:00",
-          "2010-02-26T03:24:00-07:00",
-          "2010-02-26T03:25:00-07:00",
-          "2010-02-26T03:26:00-07:00",
-          "2010-02-26T03:27:00-07:00",
-          "2010-02-26T03:28:00-07:00",
-          "2010-02-26T03:29:00-07:00",
-          "2010-02-26T03:30:00-07:00",
-          "2010-02-26T03:31:00-07:00",
-          "2010-02-26T03:32:00-07:00",
-          "2010-02-26T03:33:00-07:00",
-          "2010-02-26T03:34:00-07:00",
-          "2010-02-26T03:35:00-07:00",
-          "2010-02-26T03:36:00-07:00",
-          "2010-02-26T03:37:00-07:00",
-          "2010-02-26T03:38:00-07:00",
-          "2010-02-26T03:39:00-07:00",
-          "2010-02-26T03:40:00-07:00",
-          "2010-02-26T03:41:00-07:00",
-          "2010-02-26T03:42:00-07:00",
-          "2010-02-26T03:43:00-07:00",
-          "2010-02-26T03:44:00-07:00",
-          "2010-02-26T03:45:00-07:00",
-          "2010-02-26T03:46:00-07:00",
-          "2010-02-26T03:47:00-07:00",
-          "2010-02-26T03:48:00-07:00",
-          "2010-02-26T03:49:00-07:00",
-          "2010-02-26T03:50:00-07:00",
-          "2010-02-26T03:51:00-07:00",
-          "2010-02-26T03:52:00-07:00",
-          "2010-02-26T03:53:00-07:00",
-          "2010-02-26T03:54:00-07:00",
-          "2010-02-26T03:55:00-07:00",
-          "2010-02-26T03:56:00-07:00",
-          "2010-02-26T03:57:00-07:00",
-          "2010-02-26T03:58:00-07:00",
-          "2010-02-26T03:59:00-07:00",
-          "2010-02-26T04:00:00-07:00",
-          "2010-02-26T04:01:00-07:00",
-          "2010-02-26T04:02:00-07:00",
-          "2010-02-26T04:03:00-07:00",
-          "2010-02-26T04:04:00-07:00",
-          "2010-02-26T04:05:00-07:00",
-          "2010-02-26T04:06:00-07:00",
-          "2010-02-26T04:07:00-07:00",
-          "2010-02-26T04:08:00-07:00",
-          "2010-02-26T04:09:00-07:00",
-          "2010-02-26T04:10:00-07:00",
-          "2010-02-26T04:11:00-07:00",
-          "2010-02-26T04:12:00-07:00",
-          "2010-02-26T04:13:00-07:00",
-          "2010-02-26T04:14:00-07:00",
-          "2010-02-26T04:15:00-07:00",
-          "2010-02-26T04:16:00-07:00",
-          "2010-02-26T04:17:00-07:00",
-          "2010-02-26T04:18:00-07:00",
-          "2010-02-26T04:19:00-07:00",
-          "2010-02-26T04:20:00-07:00",
-          "2010-02-26T04:21:00-07:00",
-          "2010-02-26T04:22:00-07:00",
-          "2010-02-26T04:23:00-07:00",
-          "2010-02-26T04:24:00-07:00",
-          "2010-02-26T04:25:00-07:00",
-          "2010-02-26T04:26:00-07:00",
-          "2010-02-26T04:27:00-07:00",
-          "2010-02-26T04:28:00-07:00",
-          "2010-02-26T04:29:00-07:00",
-          "2010-02-26T04:30:00-07:00",
-          "2010-02-26T04:31:00-07:00",
-          "2010-02-26T04:32:00-07:00",
-          "2010-02-26T04:33:00-07:00",
-          "2010-02-26T04:34:00-07:00",
-          "2010-02-26T04:35:00-07:00",
-          "2010-02-26T04:36:00-07:00",
-          "2010-02-26T04:37:00-07:00",
-          "2010-02-26T04:38:00-07:00",
-          "2010-02-26T04:39:00-07:00",
-          "2010-02-26T04:40:00-07:00",
-          "2010-02-26T04:41:00-07:00",
-          "2010-02-26T04:42:00-07:00",
-          "2010-02-26T04:43:00-07:00",
-          "2010-02-26T04:44:00-07:00",
-          "2010-02-26T04:45:00-07:00",
-          "2010-02-26T04:46:00-07:00",
-          "2010-02-26T04:47:00-07:00",
-          "2010-02-26T04:48:00-07:00",
-          "2010-02-26T04:49:00-07:00",
-          "2010-02-26T04:50:00-07:00",
-          "2010-02-26T04:51:00-07:00",
-          "2010-02-26T04:52:00-07:00",
-          "2010-02-26T04:53:00-07:00",
-          "2010-02-26T04:54:00-07:00",
-          "2010-02-26T04:55:00-07:00",
-          "2010-02-26T04:56:00-07:00",
-          "2010-02-26T04:57:00-07:00",
-          "2010-02-26T04:58:00-07:00",
-          "2010-02-26T04:59:00-07:00",
-          "2010-02-26T05:00:00-07:00",
-          "2010-02-26T05:01:00-07:00",
-          "2010-02-26T05:02:00-07:00",
-          "2010-02-26T05:03:00-07:00",
-          "2010-02-26T05:04:00-07:00",
-          "2010-02-26T05:05:00-07:00",
-          "2010-02-26T05:06:00-07:00",
-          "2010-02-26T05:07:00-07:00",
-          "2010-02-26T05:08:00-07:00",
-          "2010-02-26T05:09:00-07:00",
-          "2010-02-26T05:10:00-07:00",
-          "2010-02-26T05:11:00-07:00",
-          "2010-02-26T05:12:00-07:00",
-          "2010-02-26T05:13:00-07:00",
-          "2010-02-26T05:14:00-07:00",
-          "2010-02-26T05:15:00-07:00",
-          "2010-02-26T05:16:00-07:00",
-          "2010-02-26T05:17:00-07:00",
-          "2010-02-26T05:18:00-07:00",
-          "2010-02-26T05:19:00-07:00",
-          "2010-02-26T05:20:00-07:00",
-          "2010-02-26T05:21:00-07:00",
-          "2010-02-26T05:22:00-07:00",
-          "2010-02-26T05:23:00-07:00",
-          "2010-02-26T05:24:00-07:00",
-          "2010-02-26T05:25:00-07:00",
-          "2010-02-26T05:26:00-07:00",
-          "2010-02-26T05:27:00-07:00",
-          "2010-02-26T05:28:00-07:00",
-          "2010-02-26T05:29:00-07:00",
-          "2010-02-26T05:30:00-07:00",
-          "2010-02-26T05:31:00-07:00",
-          "2010-02-26T05:32:00-07:00",
-          "2010-02-26T05:33:00-07:00",
-          "2010-02-26T05:34:00-07:00",
-          "2010-02-26T05:35:00-07:00",
-          "2010-02-26T05:36:00-07:00",
-          "2010-02-26T05:37:00-07:00",
-          "2010-02-26T05:38:00-07:00",
-          "2010-02-26T05:39:00-07:00",
-          "2010-02-26T05:40:00-07:00",
-          "2010-02-26T05:41:00-07:00",
-          "2010-02-26T05:42:00-07:00",
-          "2010-02-26T05:43:00-07:00",
-          "2010-02-26T05:44:00-07:00",
-          "2010-02-26T05:45:00-07:00",
-          "2010-02-26T05:46:00-07:00",
-          "2010-02-26T05:47:00-07:00",
-          "2010-02-26T05:48:00-07:00",
-          "2010-02-26T05:49:00-07:00",
-          "2010-02-26T05:50:00-07:00",
-          "2010-02-26T05:51:00-07:00",
-          "2010-02-26T05:52:00-07:00",
-          "2010-02-26T05:53:00-07:00",
-          "2010-02-26T05:54:00-07:00",
-          "2010-02-26T05:55:00-07:00",
-          "2010-02-26T05:56:00-07:00",
-          "2010-02-26T05:57:00-07:00",
-          "2010-02-26T05:58:00-07:00",
-          "2010-02-26T05:59:00-07:00",
-          "2010-02-26T06:00:00-07:00",
-          "2010-02-26T06:01:00-07:00",
-          "2010-02-26T06:02:00-07:00",
-          "2010-02-26T06:03:00-07:00",
-          "2010-02-26T06:04:00-07:00",
-          "2010-02-26T06:05:00-07:00",
-          "2010-02-26T06:06:00-07:00",
-          "2010-02-26T06:07:00-07:00",
-          "2010-02-26T06:08:00-07:00",
-          "2010-02-26T06:09:00-07:00",
-          "2010-02-26T06:10:00-07:00",
-          "2010-02-26T06:11:00-07:00",
-          "2010-02-26T06:12:00-07:00",
-          "2010-02-26T06:13:00-07:00",
-          "2010-02-26T06:14:00-07:00",
-          "2010-02-26T06:15:00-07:00",
-          "2010-02-26T06:16:00-07:00",
-          "2010-02-26T06:17:00-07:00",
-          "2010-02-26T06:18:00-07:00",
-          "2010-02-26T06:19:00-07:00",
-          "2010-02-26T06:20:00-07:00",
-          "2010-02-26T06:21:00-07:00",
-          "2010-02-26T06:22:00-07:00",
-          "2010-02-26T06:23:00-07:00",
-          "2010-02-26T06:24:00-07:00",
-          "2010-02-26T06:25:00-07:00",
-          "2010-02-26T06:26:00-07:00",
-          "2010-02-26T06:27:00-07:00",
-          "2010-02-26T06:28:00-07:00",
-          "2010-02-26T06:29:00-07:00",
-          "2010-02-26T06:30:00-07:00",
-          "2010-02-26T06:31:00-07:00",
-          "2010-02-26T06:32:00-07:00",
-          "2010-02-26T06:33:00-07:00",
-          "2010-02-26T06:34:00-07:00",
-          "2010-02-26T06:35:00-07:00",
-          "2010-02-26T06:36:00-07:00",
-          "2010-02-26T06:37:00-07:00",
-          "2010-02-26T06:38:00-07:00",
-          "2010-02-26T06:39:00-07:00",
-          "2010-02-26T06:40:00-07:00",
-          "2010-02-26T06:41:00-07:00",
-          "2010-02-26T06:42:00-07:00",
-          "2010-02-26T06:43:00-07:00",
-          "2010-02-26T06:44:00-07:00",
-          "2010-02-26T06:45:00-07:00",
-          "2010-02-26T06:46:00-07:00",
-          "2010-02-26T06:47:00-07:00",
-          "2010-02-26T06:48:00-07:00",
-          "2010-02-26T06:49:00-07:00",
-          "2010-02-26T06:50:00-07:00",
-          "2010-02-26T06:51:00-07:00",
-          "2010-02-26T06:52:00-07:00",
-          "2010-02-26T06:53:00-07:00",
-          "2010-02-26T06:54:00-07:00",
-          "2010-02-26T06:55:00-07:00",
-          "2010-02-26T06:56:00-07:00",
-          "2010-02-26T06:57:00-07:00",
-          "2010-02-26T06:58:00-07:00",
-          "2010-02-26T06:59:00-07:00",
-          "2010-02-26T07:00:00-07:00",
-          "2010-02-26T07:01:00-07:00",
-          "2010-02-26T07:02:00-07:00",
-          "2010-02-26T07:03:00-07:00",
-          "2010-02-26T07:04:00-07:00",
-          "2010-02-26T07:05:00-07:00",
-          "2010-02-26T07:06:00-07:00",
-          "2010-02-26T07:07:00-07:00",
-          "2010-02-26T07:08:00-07:00",
-          "2010-02-26T07:09:00-07:00",
-          "2010-02-26T07:10:00-07:00",
-          "2010-02-26T07:11:00-07:00",
-          "2010-02-26T07:12:00-07:00",
-          "2010-02-26T07:13:00-07:00",
-          "2010-02-26T07:14:00-07:00",
-          "2010-02-26T07:15:00-07:00",
-          "2010-02-26T07:16:00-07:00",
-          "2010-02-26T07:17:00-07:00",
-          "2010-02-26T07:18:00-07:00",
-          "2010-02-26T07:19:00-07:00",
-          "2010-02-26T07:20:00-07:00",
-          "2010-02-26T07:21:00-07:00",
-          "2010-02-26T07:22:00-07:00",
-          "2010-02-26T07:23:00-07:00",
-          "2010-02-26T07:24:00-07:00",
-          "2010-02-26T07:25:00-07:00",
-          "2010-02-26T07:26:00-07:00",
-          "2010-02-26T07:27:00-07:00",
-          "2010-02-26T07:28:00-07:00",
-          "2010-02-26T07:29:00-07:00",
-          "2010-02-26T07:30:00-07:00",
-          "2010-02-26T07:31:00-07:00",
-          "2010-02-26T07:32:00-07:00",
-          "2010-02-26T07:33:00-07:00",
-          "2010-02-26T07:34:00-07:00",
-          "2010-02-26T07:35:00-07:00",
-          "2010-02-26T07:36:00-07:00",
-          "2010-02-26T07:37:00-07:00",
-          "2010-02-26T07:38:00-07:00",
-          "2010-02-26T07:39:00-07:00",
-          "2010-02-26T07:40:00-07:00",
-          "2010-02-26T07:41:00-07:00",
-          "2010-02-26T07:42:00-07:00",
-          "2010-02-26T07:43:00-07:00",
-          "2010-02-26T07:44:00-07:00",
-          "2010-02-26T07:45:00-07:00",
-          "2010-02-26T07:46:00-07:00",
-          "2010-02-26T07:47:00-07:00",
-          "2010-02-26T07:48:00-07:00",
-          "2010-02-26T07:49:00-07:00",
-          "2010-02-26T07:50:00-07:00",
-          "2010-02-26T07:51:00-07:00",
-          "2010-02-26T07:52:00-07:00",
-          "2010-02-26T07:53:00-07:00",
-          "2010-02-26T07:54:00-07:00",
-          "2010-02-26T07:55:00-07:00",
-          "2010-02-26T07:56:00-07:00",
-          "2010-02-26T07:57:00-07:00",
-          "2010-02-26T07:58:00-07:00",
-          "2010-02-26T07:59:00-07:00",
-          "2010-02-26T08:00:00-07:00",
-          "2010-02-26T08:01:00-07:00",
-          "2010-02-26T08:02:00-07:00",
-          "2010-02-26T08:03:00-07:00",
-          "2010-02-26T08:04:00-07:00",
-          "2010-02-26T08:05:00-07:00",
-          "2010-02-26T08:06:00-07:00",
-          "2010-02-26T08:07:00-07:00",
-          "2010-02-26T08:08:00-07:00",
-          "2010-02-26T08:09:00-07:00",
-          "2010-02-26T08:10:00-07:00",
-          "2010-02-26T08:11:00-07:00",
-          "2010-02-26T08:12:00-07:00",
-          "2010-02-26T08:13:00-07:00",
-          "2010-02-26T08:14:00-07:00",
-          "2010-02-26T08:15:00-07:00",
-          "2010-02-26T08:16:00-07:00",
-          "2010-02-26T08:17:00-07:00",
-          "2010-02-26T08:18:00-07:00",
-          "2010-02-26T08:19:00-07:00",
-          "2010-02-26T08:20:00-07:00",
-          "2010-02-26T08:21:00-07:00",
-          "2010-02-26T08:22:00-07:00",
-          "2010-02-26T08:23:00-07:00",
-          "2010-02-26T08:24:00-07:00",
-          "2010-02-26T08:25:00-07:00",
-          "2010-02-26T08:26:00-07:00",
-          "2010-02-26T08:27:00-07:00",
-          "2010-02-26T08:28:00-07:00",
-          "2010-02-26T08:29:00-07:00",
-          "2010-02-26T08:30:00-07:00",
-          "2010-02-26T08:31:00-07:00",
-          "2010-02-26T08:32:00-07:00",
-          "2010-02-26T08:33:00-07:00",
-          "2010-02-26T08:34:00-07:00",
-          "2010-02-26T08:35:00-07:00",
-          "2010-02-26T08:36:00-07:00",
-          "2010-02-26T08:37:00-07:00",
-          "2010-02-26T08:38:00-07:00",
-          "2010-02-26T08:39:00-07:00",
-          "2010-02-26T08:40:00-07:00",
-          "2010-02-26T08:41:00-07:00",
-          "2010-02-26T08:42:00-07:00",
-          "2010-02-26T08:43:00-07:00",
-          "2010-02-26T08:44:00-07:00",
-          "2010-02-26T08:45:00-07:00",
-          "2010-02-26T08:46:00-07:00",
-          "2010-02-26T08:47:00-07:00",
-          "2010-02-26T08:48:00-07:00",
-          "2010-02-26T08:49:00-07:00",
-          "2010-02-26T08:50:00-07:00",
-          "2010-02-26T08:51:00-07:00",
-          "2010-02-26T08:52:00-07:00",
-          "2010-02-26T08:53:00-07:00",
-          "2010-02-26T08:54:00-07:00",
-          "2010-02-26T08:55:00-07:00",
-          "2010-02-26T08:56:00-07:00",
-          "2010-02-26T08:57:00-07:00",
-          "2010-02-26T08:58:00-07:00",
-          "2010-02-26T08:59:00-07:00",
-          "2010-02-26T09:00:00-07:00",
-          "2010-02-26T09:01:00-07:00",
-          "2010-02-26T09:02:00-07:00",
-          "2010-02-26T09:03:00-07:00",
-          "2010-02-26T09:04:00-07:00",
-          "2010-02-26T09:05:00-07:00",
-          "2010-02-26T09:06:00-07:00",
-          "2010-02-26T09:07:00-07:00",
-          "2010-02-26T09:08:00-07:00",
-          "2010-02-26T09:09:00-07:00",
-          "2010-02-26T09:10:00-07:00",
-          "2010-02-26T09:11:00-07:00",
-          "2010-02-26T09:12:00-07:00",
-          "2010-02-26T09:13:00-07:00",
-          "2010-02-26T09:14:00-07:00",
-          "2010-02-26T09:15:00-07:00",
-          "2010-02-26T09:16:00-07:00",
-          "2010-02-26T09:17:00-07:00",
-          "2010-02-26T09:18:00-07:00",
-          "2010-02-26T09:19:00-07:00",
-          "2010-02-26T09:20:00-07:00",
-          "2010-02-26T09:21:00-07:00",
-          "2010-02-26T09:22:00-07:00",
-          "2010-02-26T09:23:00-07:00",
-          "2010-02-26T09:24:00-07:00",
-          "2010-02-26T09:25:00-07:00",
-          "2010-02-26T09:26:00-07:00",
-          "2010-02-26T09:27:00-07:00",
-          "2010-02-26T09:28:00-07:00",
-          "2010-02-26T09:29:00-07:00",
-          "2010-02-26T09:30:00-07:00",
-          "2010-02-26T09:31:00-07:00",
-          "2010-02-26T09:32:00-07:00",
-          "2010-02-26T09:33:00-07:00",
-          "2010-02-26T09:34:00-07:00",
-          "2010-02-26T09:35:00-07:00",
-          "2010-02-26T09:36:00-07:00",
-          "2010-02-26T09:37:00-07:00",
-          "2010-02-26T09:38:00-07:00",
-          "2010-02-26T09:39:00-07:00",
-          "2010-02-26T09:40:00-07:00",
-          "2010-02-26T09:41:00-07:00",
-          "2010-02-26T09:42:00-07:00",
-          "2010-02-26T09:43:00-07:00",
-          "2010-02-26T09:44:00-07:00",
-          "2010-02-26T09:45:00-07:00",
-          "2010-02-26T09:46:00-07:00",
-          "2010-02-26T09:47:00-07:00",
-          "2010-02-26T09:48:00-07:00",
-          "2010-02-26T09:49:00-07:00",
-          "2010-02-26T09:50:00-07:00",
-          "2010-02-26T09:51:00-07:00",
-          "2010-02-26T09:52:00-07:00",
-          "2010-02-26T09:53:00-07:00",
-          "2010-02-26T09:54:00-07:00",
-          "2010-02-26T09:55:00-07:00",
-          "2010-02-26T09:56:00-07:00",
-          "2010-02-26T09:57:00-07:00",
-          "2010-02-26T09:58:00-07:00",
-          "2010-02-26T09:59:00-07:00",
-          "2010-02-26T10:00:00-07:00",
-          "2010-02-26T10:07:00-07:00",
-          "2010-02-26T10:09:00-07:00",
-          "2010-02-26T10:10:00-07:00",
-          "2010-02-26T10:11:00-07:00",
-          "2010-02-26T10:13:00-07:00",
-          "2010-02-26T10:15:00-07:00",
-          "2010-02-26T10:16:00-07:00",
-          "2010-02-26T10:17:00-07:00",
-          "2010-02-26T10:18:00-07:00",
-          "2010-02-26T10:19:00-07:00",
-          "2010-02-26T10:20:00-07:00",
-          "2010-02-26T10:31:00-07:00",
-          "2010-02-26T10:32:00-07:00",
-          "2010-02-26T10:36:00-07:00",
-          "2010-02-26T10:37:00-07:00",
-          "2010-02-26T10:39:00-07:00",
-          "2010-02-26T10:42:00-07:00",
-          "2010-02-26T10:43:00-07:00",
-          "2010-02-26T10:44:00-07:00",
-          "2010-02-26T10:45:00-07:00",
-          "2010-02-26T10:47:00-07:00",
-          "2010-02-26T10:49:00-07:00",
-          "2010-02-26T10:50:00-07:00",
-          "2010-02-26T10:52:00-07:00",
-          "2010-02-26T10:53:00-07:00",
-          "2010-02-26T10:54:00-07:00",
-          "2010-02-26T10:55:00-07:00",
-          "2010-02-26T10:56:00-07:00",
-          "2010-02-26T10:57:00-07:00",
-          "2010-02-26T10:59:00-07:00",
-          "2010-02-26T11:01:00-07:00",
-          "2010-02-26T11:02:00-07:00",
-          "2010-02-26T11:03:00-07:00",
-          "2010-02-26T11:04:00-07:00",
-          "2010-02-26T11:05:00-07:00",
-          "2010-02-26T11:06:00-07:00",
-          "2010-02-26T11:07:00-07:00",
-          "2010-02-26T11:08:00-07:00",
-          "2010-02-26T11:09:00-07:00",
-          "2010-02-26T11:11:00-07:00",
-          "2010-02-26T11:12:00-07:00",
-          "2010-02-26T11:14:00-07:00",
-          "2010-02-26T11:17:00-07:00",
-          "2010-02-26T11:18:00-07:00",
-          "2010-02-26T11:19:00-07:00",
-          "2010-02-26T11:20:00-07:00",
-          "2010-02-26T11:21:00-07:00",
-          "2010-02-26T11:23:00-07:00",
-          "2010-02-26T11:24:00-07:00",
-          "2010-02-26T11:25:00-07:00",
-          "2010-02-26T11:28:00-07:00",
-          "2010-02-26T11:32:00-07:00",
-          "2010-02-26T11:33:00-07:00",
-          "2010-02-26T11:34:00-07:00",
-          "2010-02-26T11:35:00-07:00",
-          "2010-02-26T11:37:00-07:00",
-          "2010-02-26T11:39:00-07:00",
-          "2010-02-26T11:40:00-07:00",
-          "2010-02-26T11:42:00-07:00",
-          "2010-02-26T11:43:00-07:00",
-          "2010-02-26T11:44:00-07:00",
-          "2010-02-26T11:45:00-07:00",
-          "2010-02-26T11:47:00-07:00",
-          "2010-02-26T11:48:00-07:00",
-          "2010-02-26T11:53:00-07:00",
-          "2010-02-26T11:58:00-07:00",
-          "2010-02-26T11:59:00-07:00",
-          "2010-02-26T12:00:00-07:00",
-          "2010-02-26T12:01:00-07:00",
-          "2010-02-26T12:02:00-07:00",
-          "2010-02-26T12:05:00-07:00",
-          "2010-02-26T12:06:00-07:00",
-          "2010-02-26T12:09:00-07:00",
-          "2010-02-26T12:10:00-07:00",
-          "2010-02-26T12:11:00-07:00",
-          "2010-02-26T12:12:00-07:00",
-          "2010-02-26T12:16:00-07:00",
-          "2010-02-26T12:17:00-07:00",
-          "2010-02-26T12:20:00-07:00",
-          "2010-02-26T12:29:00-07:00",
-          "2010-02-26T12:30:00-07:00",
-          "2010-02-26T12:33:00-07:00",
-          "2010-02-26T12:35:00-07:00",
-          "2010-02-26T12:42:00-07:00",
-          "2010-02-26T12:46:00-07:00",
-          "2010-02-26T12:47:00-07:00",
-          "2010-02-26T12:49:00-07:00",
-          "2010-02-26T12:51:00-07:00",
-          "2010-02-26T12:53:00-07:00",
-          "2010-02-26T12:57:00-07:00",
-          "2010-02-26T12:59:00-07:00",
-          "2010-02-26T13:00:00-07:00",
-          "2010-02-26T13:01:00-07:00",
-          "2010-02-26T13:02:00-07:00",
-          "2010-02-26T13:03:00-07:00",
-          "2010-02-26T13:08:00-07:00",
-          "2010-02-26T13:09:00-07:00",
-          "2010-02-26T13:12:00-07:00",
-          "2010-02-26T13:15:00-07:00",
-          "2010-02-26T13:17:00-07:00",
-          "2010-02-26T13:19:00-07:00",
-          "2010-02-26T13:21:00-07:00",
-          "2010-02-26T13:22:00-07:00",
-          "2010-02-26T13:24:00-07:00",
-          "2010-02-26T13:25:00-07:00",
-          "2010-02-26T13:26:00-07:00",
-          "2010-02-26T13:28:00-07:00",
-          "2010-02-26T13:30:00-07:00",
-          "2010-02-26T13:38:00-07:00",
-          "2010-02-26T13:40:00-07:00",
-          "2010-02-26T13:43:00-07:00",
-          "2010-02-26T13:44:00-07:00",
-          "2010-02-26T13:49:00-07:00",
-          "2010-02-26T13:50:00-07:00",
-          "2010-02-26T13:52:00-07:00",
-          "2010-02-26T13:53:00-07:00",
-          "2010-02-26T13:54:00-07:00",
-          "2010-02-26T13:57:00-07:00",
-          "2010-02-26T13:58:00-07:00",
-          "2010-02-26T13:59:00-07:00",
-          "2010-02-26T14:00:00-07:00",
-          "2010-02-26T14:01:00-07:00",
-          "2010-02-26T14:02:00-07:00",
-          "2010-02-26T14:03:00-07:00",
-          "2010-02-26T14:04:00-07:00",
-          "2010-02-26T14:05:00-07:00",
-          "2010-02-26T14:06:00-07:00",
-          "2010-02-26T14:07:00-07:00",
-          "2010-02-26T14:09:00-07:00",
-          "2010-02-26T14:10:00-07:00",
-          "2010-02-26T14:11:00-07:00",
-          "2010-02-26T14:12:00-07:00",
-          "2010-02-26T14:14:00-07:00",
-          "2010-02-26T14:15:00-07:00",
-          "2010-02-26T14:16:00-07:00",
-          "2010-02-26T14:17:00-07:00",
-          "2010-02-26T14:20:00-07:00",
-          "2010-02-26T14:24:00-07:00",
-          "2010-02-26T14:25:00-07:00",
-          "2010-02-26T14:26:00-07:00",
-          "2010-02-26T14:27:00-07:00",
-          "2010-02-26T14:28:00-07:00",
-          "2010-02-26T14:29:00-07:00",
-          "2010-02-26T14:30:00-07:00",
-          "2010-02-26T14:31:00-07:00",
-          "2010-02-26T14:32:00-07:00",
-          "2010-02-26T14:33:00-07:00",
-          "2010-02-26T14:34:00-07:00",
-          "2010-02-26T14:35:00-07:00",
-          "2010-02-26T14:36:00-07:00",
-          "2010-02-26T14:37:00-07:00",
-          "2010-02-26T14:38:00-07:00",
-          "2010-02-26T14:39:00-07:00",
-          "2010-02-26T14:40:00-07:00",
-          "2010-02-26T14:41:00-07:00",
-          "2010-02-26T14:42:00-07:00",
-          "2010-02-26T14:43:00-07:00",
-          "2010-02-26T14:44:00-07:00",
-          "2010-02-26T14:45:00-07:00",
-          "2010-02-26T14:46:00-07:00",
-          "2010-02-26T14:47:00-07:00",
-          "2010-02-26T14:48:00-07:00",
-          "2010-02-26T14:49:00-07:00",
-          "2010-02-26T14:50:00-07:00",
-          "2010-02-26T14:51:00-07:00",
-          "2010-02-26T14:52:00-07:00",
-          "2010-02-26T14:53:00-07:00",
-          "2010-02-26T14:55:00-07:00",
-          "2010-02-26T14:56:00-07:00",
-          "2010-02-26T14:57:00-07:00",
-          "2010-02-26T14:58:00-07:00",
-          "2010-02-26T14:59:00-07:00",
-          "2010-02-26T15:00:00-07:00",
-          "2010-02-26T15:01:00-07:00",
-          "2010-02-26T15:02:00-07:00",
-          "2010-02-26T15:03:00-07:00",
-          "2010-02-26T15:04:00-07:00",
-          "2010-02-26T15:05:00-07:00",
-          "2010-02-26T15:06:00-07:00",
-          "2010-02-26T15:07:00-07:00",
-          "2010-02-26T15:08:00-07:00",
-          "2010-02-26T15:09:00-07:00",
-          "2010-02-26T15:10:00-07:00",
-          "2010-02-26T15:11:00-07:00",
-          "2010-02-26T15:12:00-07:00",
-          "2010-02-26T15:13:00-07:00",
-          "2010-02-26T15:14:00-07:00",
-          "2010-02-26T15:15:00-07:00",
-          "2010-02-26T15:16:00-07:00",
-          "2010-02-26T15:17:00-07:00",
-          "2010-02-26T15:18:00-07:00",
-          "2010-02-26T15:19:00-07:00",
-          "2010-02-26T15:20:00-07:00",
-          "2010-02-26T15:21:00-07:00",
-          "2010-02-26T15:22:00-07:00",
-          "2010-02-26T15:23:00-07:00",
-          "2010-02-26T15:24:00-07:00",
-          "2010-02-26T15:25:00-07:00",
-          "2010-02-26T15:26:00-07:00",
-          "2010-02-26T15:27:00-07:00",
-          "2010-02-26T15:28:00-07:00",
-          "2010-02-26T15:29:00-07:00",
-          "2010-02-26T15:30:00-07:00",
-          "2010-02-26T15:31:00-07:00",
-          "2010-02-26T15:32:00-07:00",
-          "2010-02-26T15:33:00-07:00",
-          "2010-02-26T15:34:00-07:00",
-          "2010-02-26T15:35:00-07:00",
-          "2010-02-26T15:36:00-07:00",
-          "2010-02-26T15:37:00-07:00",
-          "2010-02-26T15:38:00-07:00",
-          "2010-02-26T15:39:00-07:00",
-          "2010-02-26T15:40:00-07:00",
-          "2010-02-26T15:41:00-07:00",
-          "2010-02-26T15:42:00-07:00",
-          "2010-02-26T15:43:00-07:00",
-          "2010-02-26T15:44:00-07:00",
-          "2010-02-26T15:45:00-07:00",
-          "2010-02-26T15:46:00-07:00",
-          "2010-02-26T15:47:00-07:00",
-          "2010-02-26T15:48:00-07:00",
-          "2010-02-26T15:49:00-07:00",
-          "2010-02-26T15:50:00-07:00",
-          "2010-02-26T15:51:00-07:00",
-          "2010-02-26T15:52:00-07:00",
-          "2010-02-26T15:53:00-07:00",
-          "2010-02-26T15:54:00-07:00",
-          "2010-02-26T15:55:00-07:00",
-          "2010-02-26T15:56:00-07:00",
-          "2010-02-26T15:57:00-07:00",
-          "2010-02-26T15:58:00-07:00",
-          "2010-02-26T15:59:00-07:00",
-          "2010-02-26T16:00:00-07:00",
-          "2010-02-26T16:01:00-07:00",
-          "2010-02-26T16:02:00-07:00",
-          "2010-02-26T16:03:00-07:00",
-          "2010-02-26T16:04:00-07:00",
-          "2010-02-26T16:05:00-07:00",
-          "2010-02-26T16:06:00-07:00",
-          "2010-02-26T16:07:00-07:00",
-          "2010-02-26T16:08:00-07:00",
-          "2010-02-26T16:09:00-07:00",
-          "2010-02-26T16:10:00-07:00",
-          "2010-02-26T16:11:00-07:00",
-          "2010-02-26T16:12:00-07:00",
-          "2010-02-26T16:13:00-07:00",
-          "2010-02-26T16:14:00-07:00",
-          "2010-02-26T16:15:00-07:00",
-          "2010-02-26T16:16:00-07:00",
-          "2010-02-26T16:17:00-07:00",
-          "2010-02-26T16:18:00-07:00",
-          "2010-02-26T16:19:00-07:00",
-          "2010-02-26T16:20:00-07:00",
-          "2010-02-26T16:21:00-07:00",
-          "2010-02-26T16:22:00-07:00",
-          "2010-02-26T16:23:00-07:00",
-          "2010-02-26T16:24:00-07:00",
-          "2010-02-26T16:25:00-07:00",
-          "2010-02-26T16:26:00-07:00",
-          "2010-02-26T16:27:00-07:00",
-          "2010-02-26T16:28:00-07:00",
-          "2010-02-26T16:29:00-07:00",
-          "2010-02-26T16:30:00-07:00",
-          "2010-02-26T16:31:00-07:00",
-          "2010-02-26T16:32:00-07:00",
-          "2010-02-26T16:33:00-07:00",
-          "2010-02-26T16:34:00-07:00",
-          "2010-02-26T16:35:00-07:00",
-          "2010-02-26T16:36:00-07:00",
-          "2010-02-26T16:37:00-07:00",
-          "2010-02-26T16:38:00-07:00",
-          "2010-02-26T16:39:00-07:00",
-          "2010-02-26T16:40:00-07:00",
-          "2010-02-26T16:41:00-07:00",
-          "2010-02-26T16:42:00-07:00",
-          "2010-02-26T16:43:00-07:00",
-          "2010-02-26T16:44:00-07:00",
-          "2010-02-26T16:45:00-07:00",
-          "2010-02-26T16:46:00-07:00",
-          "2010-02-26T16:47:00-07:00",
-          "2010-02-26T16:48:00-07:00",
-          "2010-02-26T16:49:00-07:00",
-          "2010-02-26T16:50:00-07:00",
-          "2010-02-26T16:51:00-07:00",
-          "2010-02-26T16:52:00-07:00",
-          "2010-02-26T16:53:00-07:00",
-          "2010-02-26T16:54:00-07:00",
-          "2010-02-26T16:55:00-07:00",
-          "2010-02-26T16:56:00-07:00",
-          "2010-02-26T16:57:00-07:00",
-          "2010-02-26T16:58:00-07:00",
-          "2010-02-26T16:59:00-07:00",
-          "2010-02-26T17:00:00-07:00",
-          "2010-02-26T17:01:00-07:00",
-          "2010-02-26T17:02:00-07:00",
-          "2010-02-26T17:03:00-07:00",
-          "2010-02-26T17:04:00-07:00",
-          "2010-02-26T17:05:00-07:00",
-          "2010-02-26T17:06:00-07:00",
-          "2010-02-26T17:07:00-07:00",
-          "2010-02-26T17:08:00-07:00",
-          "2010-02-26T17:09:00-07:00",
-          "2010-02-26T17:10:00-07:00",
-          "2010-02-26T17:11:00-07:00",
-          "2010-02-26T17:12:00-07:00",
-          "2010-02-26T17:13:00-07:00",
-          "2010-02-26T17:14:00-07:00",
-          "2010-02-26T17:15:00-07:00",
-          "2010-02-26T17:16:00-07:00",
-          "2010-02-26T17:17:00-07:00",
-          "2010-02-26T17:18:00-07:00",
-          "2010-02-26T17:19:00-07:00",
-          "2010-02-26T17:20:00-07:00",
-          "2010-02-26T17:21:00-07:00",
-          "2010-02-26T17:22:00-07:00",
-          "2010-02-26T17:23:00-07:00",
-          "2010-02-26T17:24:00-07:00",
-          "2010-02-26T17:25:00-07:00",
-          "2010-02-26T17:26:00-07:00",
-          "2010-02-26T17:27:00-07:00",
-          "2010-02-26T17:28:00-07:00",
-          "2010-02-26T17:29:00-07:00",
-          "2010-02-26T17:30:00-07:00",
-          "2010-02-26T17:31:00-07:00",
-          "2010-02-26T17:32:00-07:00",
-          "2010-02-26T17:33:00-07:00",
-          "2010-02-26T17:34:00-07:00",
-          "2010-02-26T17:35:00-07:00",
-          "2010-02-26T17:36:00-07:00",
-          "2010-02-26T17:37:00-07:00",
-          "2010-02-26T17:38:00-07:00",
-          "2010-02-26T17:39:00-07:00",
-          "2010-02-26T17:40:00-07:00",
-          "2010-02-26T17:41:00-07:00",
-          "2010-02-26T17:42:00-07:00",
-          "2010-02-26T17:43:00-07:00",
-          "2010-02-26T17:44:00-07:00",
-          "2010-02-26T17:45:00-07:00",
-          "2010-02-26T17:46:00-07:00",
-          "2010-02-26T17:47:00-07:00",
-          "2010-02-26T17:48:00-07:00",
-          "2010-02-26T17:49:00-07:00",
-          "2010-02-26T17:50:00-07:00",
-          "2010-02-26T17:51:00-07:00",
-          "2010-02-26T17:52:00-07:00",
-          "2010-02-26T17:53:00-07:00",
-          "2010-02-26T17:54:00-07:00",
-          "2010-02-26T17:55:00-07:00",
-          "2010-02-26T17:56:00-07:00",
-          "2010-02-26T17:57:00-07:00",
-          "2010-02-26T17:58:00-07:00",
-          "2010-02-26T17:59:00-07:00",
-          "2010-02-26T18:00:00-07:00",
-          "2010-02-26T18:01:00-07:00",
-          "2010-02-26T18:02:00-07:00",
-          "2010-02-26T18:03:00-07:00",
-          "2010-02-26T18:04:00-07:00",
-          "2010-02-26T18:05:00-07:00",
-          "2010-02-26T18:06:00-07:00",
-          "2010-02-26T18:07:00-07:00",
-          "2010-02-26T18:08:00-07:00",
-          "2010-02-26T18:09:00-07:00",
-          "2010-02-26T18:10:00-07:00",
-          "2010-02-26T18:11:00-07:00",
-          "2010-02-26T18:12:00-07:00",
-          "2010-02-26T18:13:00-07:00",
-          "2010-02-26T18:14:00-07:00",
-          "2010-02-26T18:15:00-07:00",
-          "2010-02-26T18:16:00-07:00",
-          "2010-02-26T18:17:00-07:00",
-          "2010-02-26T18:18:00-07:00",
-          "2010-02-26T18:19:00-07:00",
-          "2010-02-26T18:20:00-07:00",
-          "2010-02-26T18:21:00-07:00",
-          "2010-02-26T18:22:00-07:00",
-          "2010-02-26T18:23:00-07:00",
-          "2010-02-26T18:24:00-07:00",
-          "2010-02-26T18:25:00-07:00",
-          "2010-02-26T18:26:00-07:00",
-          "2010-02-26T18:27:00-07:00",
-          "2010-02-26T18:28:00-07:00",
-          "2010-02-26T18:29:00-07:00",
-          "2010-02-26T18:30:00-07:00",
-          "2010-02-26T18:31:00-07:00",
-          "2010-02-26T18:32:00-07:00",
-          "2010-02-26T18:33:00-07:00",
-          "2010-02-26T18:34:00-07:00",
-          "2010-02-26T18:35:00-07:00",
-          "2010-02-26T18:36:00-07:00",
-          "2010-02-26T18:37:00-07:00",
-          "2010-02-26T18:38:00-07:00",
-          "2010-02-26T18:39:00-07:00",
-          "2010-02-26T18:40:00-07:00",
-          "2010-02-26T18:41:00-07:00",
-          "2010-02-26T18:42:00-07:00",
-          "2010-02-26T18:43:00-07:00",
-          "2010-02-26T18:44:00-07:00",
-          "2010-02-26T18:45:00-07:00",
-          "2010-02-26T18:46:00-07:00",
-          "2010-02-26T18:47:00-07:00",
-          "2010-02-26T18:48:00-07:00",
-          "2010-02-26T18:49:00-07:00",
-          "2010-02-26T18:50:00-07:00",
-          "2010-02-26T18:51:00-07:00",
-          "2010-02-26T18:52:00-07:00",
-          "2010-02-26T18:53:00-07:00",
-          "2010-02-26T18:54:00-07:00",
-          "2010-02-26T18:55:00-07:00",
-          "2010-02-26T18:56:00-07:00",
-          "2010-02-26T18:57:00-07:00",
-          "2010-02-26T18:58:00-07:00",
-          "2010-02-26T18:59:00-07:00",
-          "2010-02-26T19:00:00-07:00",
-          "2010-02-26T19:01:00-07:00",
-          "2010-02-26T19:02:00-07:00",
-          "2010-02-26T19:03:00-07:00",
-          "2010-02-26T19:04:00-07:00",
-          "2010-02-26T19:05:00-07:00",
-          "2010-02-26T19:06:00-07:00",
-          "2010-02-26T19:07:00-07:00",
-          "2010-02-26T19:08:00-07:00",
-          "2010-02-26T19:09:00-07:00",
-          "2010-02-26T19:10:00-07:00",
-          "2010-02-26T19:11:00-07:00",
-          "2010-02-26T19:12:00-07:00",
-          "2010-02-26T19:13:00-07:00",
-          "2010-02-26T19:14:00-07:00",
-          "2010-02-26T19:15:00-07:00",
-          "2010-02-26T19:16:00-07:00",
-          "2010-02-26T19:17:00-07:00",
-          "2010-02-26T19:18:00-07:00",
-          "2010-02-26T19:19:00-07:00",
-          "2010-02-26T19:20:00-07:00",
-          "2010-02-26T19:21:00-07:00",
-          "2010-02-26T19:22:00-07:00",
-          "2010-02-26T19:23:00-07:00",
-          "2010-02-26T19:24:00-07:00",
-          "2010-02-26T19:25:00-07:00",
-          "2010-02-26T19:26:00-07:00",
-          "2010-02-26T19:27:00-07:00",
-          "2010-02-26T19:28:00-07:00",
-          "2010-02-26T19:29:00-07:00",
-          "2010-02-26T19:30:00-07:00",
-          "2010-02-26T19:31:00-07:00",
-          "2010-02-26T19:32:00-07:00",
-          "2010-02-26T19:33:00-07:00",
-          "2010-02-26T19:34:00-07:00",
-          "2010-02-26T19:35:00-07:00",
-          "2010-02-26T19:36:00-07:00",
-          "2010-02-26T19:37:00-07:00",
-          "2010-02-26T19:38:00-07:00",
-          "2010-02-26T19:39:00-07:00",
-          "2010-02-26T19:40:00-07:00",
-          "2010-02-26T19:41:00-07:00",
-          "2010-02-26T19:42:00-07:00",
-          "2010-02-26T19:43:00-07:00",
-          "2010-02-26T19:44:00-07:00",
-          "2010-02-26T19:45:00-07:00",
-          "2010-02-26T19:46:00-07:00",
-          "2010-02-26T19:47:00-07:00",
-          "2010-02-26T19:48:00-07:00",
-          "2010-02-26T19:49:00-07:00",
-          "2010-02-26T19:50:00-07:00",
-          "2010-02-26T19:51:00-07:00",
-          "2010-02-26T19:52:00-07:00",
-          "2010-02-26T19:53:00-07:00",
-          "2010-02-26T19:54:00-07:00",
-          "2010-02-26T19:55:00-07:00",
-          "2010-02-26T19:56:00-07:00",
-          "2010-02-26T19:57:00-07:00",
-          "2010-02-26T19:58:00-07:00",
-          "2010-02-26T19:59:00-07:00",
-          "2010-02-26T20:00:00-07:00",
-          "2010-02-26T20:01:00-07:00",
-          "2010-02-26T20:02:00-07:00",
-          "2010-02-26T20:03:00-07:00",
-          "2010-02-26T20:04:00-07:00",
-          "2010-02-26T20:05:00-07:00",
-          "2010-02-26T20:06:00-07:00",
-          "2010-02-26T20:07:00-07:00",
-          "2010-02-26T20:08:00-07:00",
-          "2010-02-26T20:09:00-07:00",
-          "2010-02-26T20:10:00-07:00",
-          "2010-02-26T20:11:00-07:00",
-          "2010-02-26T20:12:00-07:00",
-          "2010-02-26T20:13:00-07:00",
-          "2010-02-26T20:14:00-07:00",
-          "2010-02-26T20:15:00-07:00",
-          "2010-02-26T20:16:00-07:00",
-          "2010-02-26T20:17:00-07:00",
-          "2010-02-26T20:18:00-07:00",
-          "2010-02-26T20:19:00-07:00",
-          "2010-02-26T20:20:00-07:00",
-          "2010-02-26T20:21:00-07:00",
-          "2010-02-26T20:22:00-07:00",
-          "2010-02-26T20:23:00-07:00",
-          "2010-02-26T20:24:00-07:00",
-          "2010-02-26T20:25:00-07:00",
-          "2010-02-26T20:26:00-07:00",
-          "2010-02-26T20:27:00-07:00",
-          "2010-02-26T20:28:00-07:00",
-          "2010-02-26T20:29:00-07:00",
-          "2010-02-26T20:30:00-07:00",
-          "2010-02-26T20:31:00-07:00",
-          "2010-02-26T20:32:00-07:00",
-          "2010-02-26T20:33:00-07:00",
-          "2010-02-26T20:34:00-07:00",
-          "2010-02-26T20:35:00-07:00",
-          "2010-02-26T20:36:00-07:00",
-          "2010-02-26T20:37:00-07:00",
-          "2010-02-26T20:38:00-07:00",
-          "2010-02-26T20:39:00-07:00",
-          "2010-02-26T20:40:00-07:00",
-          "2010-02-26T20:41:00-07:00",
-          "2010-02-26T20:42:00-07:00",
-          "2010-02-26T20:43:00-07:00",
-          "2010-02-26T20:44:00-07:00",
-          "2010-02-26T20:45:00-07:00",
-          "2010-02-26T20:46:00-07:00",
-          "2010-02-26T20:47:00-07:00",
-          "2010-02-26T20:48:00-07:00",
-          "2010-02-26T20:49:00-07:00",
-          "2010-02-26T20:50:00-07:00",
-          "2010-02-26T20:51:00-07:00",
-          "2010-02-26T20:52:00-07:00",
-          "2010-02-26T20:53:00-07:00",
-          "2010-02-26T20:54:00-07:00",
-          "2010-02-26T20:55:00-07:00",
-          "2010-02-26T20:56:00-07:00",
-          "2010-02-26T20:57:00-07:00",
-          "2010-02-26T20:58:00-07:00",
-          "2010-02-26T20:59:00-07:00",
-          "2010-02-26T21:00:00-07:00",
-          "2010-02-26T21:01:00-07:00",
-          "2010-02-26T21:02:00-07:00",
-          "2010-02-26T21:03:00-07:00",
-          "2010-02-26T21:04:00-07:00",
-          "2010-02-26T21:05:00-07:00",
-          "2010-02-26T21:06:00-07:00",
-          "2010-02-26T21:07:00-07:00",
-          "2010-02-26T21:08:00-07:00",
-          "2010-02-26T21:09:00-07:00",
-          "2010-02-26T21:10:00-07:00",
-          "2010-02-26T21:11:00-07:00",
-          "2010-02-26T21:12:00-07:00",
-          "2010-02-26T21:13:00-07:00",
-          "2010-02-26T21:14:00-07:00",
-          "2010-02-26T21:15:00-07:00",
-          "2010-02-26T21:16:00-07:00",
-          "2010-02-26T21:17:00-07:00",
-          "2010-02-26T21:18:00-07:00",
-          "2010-02-26T21:19:00-07:00",
-          "2010-02-26T21:20:00-07:00",
-          "2010-02-26T21:21:00-07:00",
-          "2010-02-26T21:22:00-07:00",
-          "2010-02-26T21:23:00-07:00",
-          "2010-02-26T21:24:00-07:00",
-          "2010-02-26T21:25:00-07:00",
-          "2010-02-26T21:26:00-07:00",
-          "2010-02-26T21:27:00-07:00",
-          "2010-02-26T21:28:00-07:00",
-          "2010-02-26T21:29:00-07:00",
-          "2010-02-26T21:30:00-07:00",
-          "2010-02-26T21:31:00-07:00",
-          "2010-02-26T21:32:00-07:00",
-          "2010-02-26T21:33:00-07:00",
-          "2010-02-26T21:34:00-07:00",
-          "2010-02-26T21:35:00-07:00",
-          "2010-02-26T21:36:00-07:00",
-          "2010-02-26T21:37:00-07:00",
-          "2010-02-26T21:38:00-07:00",
-          "2010-02-26T21:39:00-07:00",
-          "2010-02-26T21:40:00-07:00",
-          "2010-02-26T21:41:00-07:00",
-          "2010-02-26T21:42:00-07:00",
-          "2010-02-26T21:43:00-07:00",
-          "2010-02-26T21:44:00-07:00",
-          "2010-02-26T21:45:00-07:00",
-          "2010-02-26T21:46:00-07:00",
-          "2010-02-26T21:47:00-07:00",
-          "2010-02-26T21:48:00-07:00",
-          "2010-02-26T21:49:00-07:00",
-          "2010-02-26T21:50:00-07:00",
-          "2010-02-26T21:51:00-07:00",
-          "2010-02-26T21:52:00-07:00",
-          "2010-02-26T21:53:00-07:00",
-          "2010-02-26T21:54:00-07:00",
-          "2010-02-26T21:55:00-07:00",
-          "2010-02-26T21:56:00-07:00",
-          "2010-02-26T21:57:00-07:00",
-          "2010-02-26T21:58:00-07:00",
-          "2010-02-26T21:59:00-07:00",
-          "2010-02-26T22:00:00-07:00",
-          "2010-02-26T22:01:00-07:00",
-          "2010-02-26T22:02:00-07:00",
-          "2010-02-26T22:03:00-07:00",
-          "2010-02-26T22:04:00-07:00",
-          "2010-02-26T22:05:00-07:00",
-          "2010-02-26T22:06:00-07:00",
-          "2010-02-26T22:07:00-07:00",
-          "2010-02-26T22:08:00-07:00",
-          "2010-02-26T22:09:00-07:00",
-          "2010-02-26T22:10:00-07:00",
-          "2010-02-26T22:11:00-07:00",
-          "2010-02-26T22:12:00-07:00",
-          "2010-02-26T22:13:00-07:00",
-          "2010-02-26T22:14:00-07:00",
-          "2010-02-26T22:15:00-07:00",
-          "2010-02-26T22:16:00-07:00",
-          "2010-02-26T22:17:00-07:00",
-          "2010-02-26T22:18:00-07:00",
-          "2010-02-26T22:19:00-07:00",
-          "2010-02-26T22:20:00-07:00",
-          "2010-02-26T22:21:00-07:00",
-          "2010-02-26T22:22:00-07:00",
-          "2010-02-26T22:23:00-07:00",
-          "2010-02-26T22:24:00-07:00",
-          "2010-02-26T22:25:00-07:00",
-          "2010-02-26T22:26:00-07:00",
-          "2010-02-26T22:27:00-07:00",
-          "2010-02-26T22:28:00-07:00",
-          "2010-02-26T22:29:00-07:00",
-          "2010-02-26T22:30:00-07:00",
-          "2010-02-26T22:31:00-07:00",
-          "2010-02-26T22:32:00-07:00",
-          "2010-02-26T22:33:00-07:00",
-          "2010-02-26T22:34:00-07:00",
-          "2010-02-26T22:35:00-07:00",
-          "2010-02-26T22:36:00-07:00",
-          "2010-02-26T22:37:00-07:00",
-          "2010-02-26T22:38:00-07:00",
-          "2010-02-26T22:39:00-07:00",
-          "2010-02-26T22:40:00-07:00",
-          "2010-02-26T22:41:00-07:00",
-          "2010-02-26T22:42:00-07:00",
-          "2010-02-26T22:43:00-07:00",
-          "2010-02-26T22:44:00-07:00",
-          "2010-02-26T22:45:00-07:00",
-          "2010-02-26T22:46:00-07:00",
-          "2010-02-26T22:47:00-07:00",
-          "2010-02-26T22:48:00-07:00",
-          "2010-02-26T22:49:00-07:00",
-          "2010-02-26T22:50:00-07:00",
-          "2010-02-26T22:51:00-07:00",
-          "2010-02-26T22:52:00-07:00",
-          "2010-02-26T22:53:00-07:00",
-          "2010-02-26T22:54:00-07:00",
-          "2010-02-26T22:55:00-07:00",
-          "2010-02-26T22:56:00-07:00",
-          "2010-02-26T22:57:00-07:00",
-          "2010-02-26T22:58:00-07:00",
-          "2010-02-26T22:59:00-07:00",
-          "2010-02-26T23:00:00-07:00",
-          "2010-02-26T23:01:00-07:00",
-          "2010-02-26T23:02:00-07:00",
-          "2010-02-26T23:03:00-07:00",
-          "2010-02-26T23:04:00-07:00",
-          "2010-02-26T23:05:00-07:00",
-          "2010-02-26T23:06:00-07:00",
-          "2010-02-26T23:07:00-07:00",
-          "2010-02-26T23:08:00-07:00",
-          "2010-02-26T23:09:00-07:00",
-          "2010-02-26T23:10:00-07:00",
-          "2010-02-26T23:11:00-07:00",
-          "2010-02-26T23:12:00-07:00",
-          "2010-02-26T23:13:00-07:00",
-          "2010-02-26T23:14:00-07:00",
-          "2010-02-26T23:15:00-07:00",
-          "2010-02-26T23:16:00-07:00",
-          "2010-02-26T23:17:00-07:00",
-          "2010-02-26T23:18:00-07:00",
-          "2010-02-26T23:19:00-07:00",
-          "2010-02-26T23:20:00-07:00",
-          "2010-02-26T23:21:00-07:00",
-          "2010-02-26T23:22:00-07:00",
-          "2010-02-26T23:23:00-07:00",
-          "2010-02-26T23:24:00-07:00",
-          "2010-02-26T23:25:00-07:00",
-          "2010-02-26T23:26:00-07:00",
-          "2010-02-26T23:27:00-07:00",
-          "2010-02-26T23:28:00-07:00",
-          "2010-02-26T23:29:00-07:00",
-          "2010-02-26T23:30:00-07:00",
-          "2010-02-26T23:31:00-07:00",
-          "2010-02-26T23:32:00-07:00",
-          "2010-02-26T23:33:00-07:00",
-          "2010-02-26T23:34:00-07:00",
-          "2010-02-26T23:35:00-07:00",
-          "2010-02-26T23:36:00-07:00",
-          "2010-02-26T23:37:00-07:00",
-          "2010-02-26T23:38:00-07:00",
-          "2010-02-26T23:39:00-07:00",
-          "2010-02-26T23:40:00-07:00",
-          "2010-02-26T23:41:00-07:00",
-          "2010-02-26T23:42:00-07:00",
-          "2010-02-26T23:43:00-07:00",
-          "2010-02-26T23:44:00-07:00",
-          "2010-02-26T23:45:00-07:00",
-          "2010-02-26T23:46:00-07:00",
-          "2010-02-26T23:47:00-07:00",
-          "2010-02-26T23:48:00-07:00",
-          "2010-02-26T23:49:00-07:00",
-          "2010-02-26T23:50:00-07:00",
-          "2010-02-26T23:51:00-07:00",
-          "2010-02-26T23:52:00-07:00",
-          "2010-02-26T23:53:00-07:00",
-          "2010-02-26T23:54:00-07:00",
-          "2010-02-26T23:55:00-07:00",
-          "2010-02-26T23:56:00-07:00",
-          "2010-02-26T23:57:00-07:00",
-          "2010-02-26T23:58:00-07:00",
-          "2010-02-26T23:59:00-07:00",
-          "2010-02-27T00:00:00-07:00",
-          "2010-02-27T00:01:00-07:00",
-          "2010-02-27T00:02:00-07:00",
-          "2010-02-27T00:03:00-07:00",
-          "2010-02-27T00:04:00-07:00",
-          "2010-02-27T00:05:00-07:00",
-          "2010-02-27T00:06:00-07:00",
-          "2010-02-27T00:07:00-07:00",
-          "2010-02-27T00:08:00-07:00",
-          "2010-02-27T00:09:00-07:00",
-          "2010-02-27T00:10:00-07:00",
-          "2010-02-27T00:11:00-07:00",
-          "2010-02-27T00:12:00-07:00",
-          "2010-02-27T00:13:00-07:00",
-          "2010-02-27T00:14:00-07:00",
-          "2010-02-27T00:15:00-07:00",
-          "2010-02-27T00:16:00-07:00",
-          "2010-02-27T00:17:00-07:00",
-          "2010-02-27T00:18:00-07:00",
-          "2010-02-27T00:19:00-07:00",
-          "2010-02-27T00:20:00-07:00",
-          "2010-02-27T00:21:00-07:00",
-          "2010-02-27T00:22:00-07:00",
-          "2010-02-27T00:23:00-07:00",
-          "2010-02-27T00:24:00-07:00",
-          "2010-02-27T00:25:00-07:00",
-          "2010-02-27T00:26:00-07:00",
-          "2010-02-27T00:27:00-07:00",
-          "2010-02-27T00:28:00-07:00",
-          "2010-02-27T00:29:00-07:00",
-          "2010-02-27T00:30:00-07:00",
-          "2010-02-27T00:31:00-07:00",
-          "2010-02-27T00:32:00-07:00",
-          "2010-02-27T00:33:00-07:00",
-          "2010-02-27T00:34:00-07:00",
-          "2010-02-27T00:35:00-07:00",
-          "2010-02-27T00:36:00-07:00",
-          "2010-02-27T00:37:00-07:00",
-          "2010-02-27T00:38:00-07:00",
-          "2010-02-27T00:39:00-07:00",
-          "2010-02-27T00:40:00-07:00",
-          "2010-02-27T00:41:00-07:00",
-          "2010-02-27T00:42:00-07:00",
-          "2010-02-27T00:43:00-07:00",
-          "2010-02-27T00:44:00-07:00",
-          "2010-02-27T00:45:00-07:00",
-          "2010-02-27T00:46:00-07:00",
-          "2010-02-27T00:47:00-07:00",
-          "2010-02-27T00:48:00-07:00",
-          "2010-02-27T00:49:00-07:00",
-          "2010-02-27T00:50:00-07:00",
-          "2010-02-27T00:51:00-07:00",
-          "2010-02-27T00:52:00-07:00",
-          "2010-02-27T00:53:00-07:00",
-          "2010-02-27T00:54:00-07:00",
-          "2010-02-27T00:55:00-07:00",
-          "2010-02-27T00:56:00-07:00",
-          "2010-02-27T00:57:00-07:00",
-          "2010-02-27T00:58:00-07:00",
-          "2010-02-27T00:59:00-07:00",
-          "2010-02-27T01:00:00-07:00",
-          "2010-02-27T01:01:00-07:00",
-          "2010-02-27T01:02:00-07:00",
-          "2010-02-27T01:03:00-07:00",
-          "2010-02-27T01:04:00-07:00",
-          "2010-02-27T01:05:00-07:00",
-          "2010-02-27T01:06:00-07:00",
-          "2010-02-27T01:07:00-07:00",
-          "2010-02-27T01:08:00-07:00",
-          "2010-02-27T01:09:00-07:00",
-          "2010-02-27T01:10:00-07:00",
-          "2010-02-27T01:11:00-07:00",
-          "2010-02-27T01:12:00-07:00",
-          "2010-02-27T01:13:00-07:00",
-          "2010-02-27T01:14:00-07:00",
-          "2010-02-27T01:15:00-07:00",
-          "2010-02-27T01:16:00-07:00",
-          "2010-02-27T01:17:00-07:00",
-          "2010-02-27T01:18:00-07:00",
-          "2010-02-27T01:19:00-07:00",
-          "2010-02-27T01:20:00-07:00",
-          "2010-02-27T01:21:00-07:00",
-          "2010-02-27T01:22:00-07:00",
-          "2010-02-27T01:23:00-07:00",
-          "2010-02-27T01:24:00-07:00",
-          "2010-02-27T01:25:00-07:00",
-          "2010-02-27T01:26:00-07:00",
-          "2010-02-27T01:27:00-07:00",
-          "2010-02-27T01:28:00-07:00",
-          "2010-02-27T01:29:00-07:00",
-          "2010-02-27T01:30:00-07:00",
-          "2010-02-27T01:31:00-07:00",
-          "2010-02-27T01:32:00-07:00",
-          "2010-02-27T01:33:00-07:00",
-          "2010-02-27T01:34:00-07:00",
-          "2010-02-27T01:35:00-07:00",
-          "2010-02-27T01:36:00-07:00",
-          "2010-02-27T01:37:00-07:00",
-          "2010-02-27T01:38:00-07:00",
-          "2010-02-27T01:39:00-07:00",
-          "2010-02-27T01:40:00-07:00",
-          "2010-02-27T01:41:00-07:00",
-          "2010-02-27T01:42:00-07:00",
-          "2010-02-27T01:43:00-07:00",
-          "2010-02-27T01:44:00-07:00",
-          "2010-02-27T01:45:00-07:00",
-          "2010-02-27T01:46:00-07:00",
-          "2010-02-27T01:47:00-07:00",
-          "2010-02-27T01:48:00-07:00",
-          "2010-02-27T01:49:00-07:00",
-          "2010-02-27T01:50:00-07:00",
-          "2010-02-27T01:51:00-07:00",
-          "2010-02-27T01:52:00-07:00",
-          "2010-02-27T01:53:00-07:00",
-          "2010-02-27T01:54:00-07:00",
-          "2010-02-27T01:55:00-07:00",
-          "2010-02-27T01:56:00-07:00",
-          "2010-02-27T01:57:00-07:00",
-          "2010-02-27T01:58:00-07:00",
-          "2010-02-27T01:59:00-07:00",
-          "2010-02-27T02:00:00-07:00",
-          "2010-02-27T02:01:00-07:00",
-          "2010-02-27T02:02:00-07:00",
-          "2010-02-27T02:03:00-07:00",
-          "2010-02-27T02:04:00-07:00",
-          "2010-02-27T02:05:00-07:00",
-          "2010-02-27T02:06:00-07:00",
-          "2010-02-27T02:07:00-07:00",
-          "2010-02-27T02:08:00-07:00",
-          "2010-02-27T02:09:00-07:00",
-          "2010-02-27T02:10:00-07:00",
-          "2010-02-27T02:11:00-07:00",
-          "2010-02-27T02:12:00-07:00",
-          "2010-02-27T02:13:00-07:00",
-          "2010-02-27T02:14:00-07:00",
-          "2010-02-27T02:15:00-07:00",
-          "2010-02-27T02:16:00-07:00",
-          "2010-02-27T02:17:00-07:00",
-          "2010-02-27T02:18:00-07:00",
-          "2010-02-27T02:19:00-07:00",
-          "2010-02-27T02:20:00-07:00",
-          "2010-02-27T02:21:00-07:00",
-          "2010-02-27T02:22:00-07:00",
-          "2010-02-27T02:23:00-07:00",
-          "2010-02-27T02:24:00-07:00",
-          "2010-02-27T02:25:00-07:00",
-          "2010-02-27T02:26:00-07:00",
-          "2010-02-27T02:27:00-07:00",
-          "2010-02-27T02:28:00-07:00",
-          "2010-02-27T02:29:00-07:00",
-          "2010-02-27T02:30:00-07:00",
-          "2010-02-27T02:31:00-07:00",
-          "2010-02-27T02:32:00-07:00",
-          "2010-02-27T02:33:00-07:00",
-          "2010-02-27T02:34:00-07:00",
-          "2010-02-27T02:35:00-07:00",
-          "2010-02-27T02:36:00-07:00",
-          "2010-02-27T02:37:00-07:00",
-          "2010-02-27T02:38:00-07:00",
-          "2010-02-27T02:39:00-07:00",
-          "2010-02-27T02:40:00-07:00",
-          "2010-02-27T02:41:00-07:00",
-          "2010-02-27T02:42:00-07:00",
-          "2010-02-27T02:43:00-07:00",
-          "2010-02-27T02:44:00-07:00",
-          "2010-02-27T02:45:00-07:00",
-          "2010-02-27T02:46:00-07:00",
-          "2010-02-27T02:47:00-07:00",
-          "2010-02-27T02:48:00-07:00",
-          "2010-02-27T02:49:00-07:00",
-          "2010-02-27T02:50:00-07:00",
-          "2010-02-27T02:51:00-07:00",
-          "2010-02-27T02:52:00-07:00",
-          "2010-02-27T02:53:00-07:00",
-          "2010-02-27T02:54:00-07:00",
-          "2010-02-27T02:55:00-07:00",
-          "2010-02-27T02:56:00-07:00",
-          "2010-02-27T02:57:00-07:00",
-          "2010-02-27T02:58:00-07:00",
-          "2010-02-27T02:59:00-07:00",
-          "2010-02-27T03:00:00-07:00",
-          "2010-02-27T03:01:00-07:00",
-          "2010-02-27T03:02:00-07:00",
-          "2010-02-27T03:03:00-07:00",
-          "2010-02-27T03:04:00-07:00",
-          "2010-02-27T03:05:00-07:00",
-          "2010-02-27T03:06:00-07:00",
-          "2010-02-27T03:07:00-07:00",
-          "2010-02-27T03:08:00-07:00",
-          "2010-02-27T03:09:00-07:00",
-          "2010-02-27T03:10:00-07:00",
-          "2010-02-27T03:11:00-07:00",
-          "2010-02-27T03:12:00-07:00",
-          "2010-02-27T03:13:00-07:00",
-          "2010-02-27T03:14:00-07:00",
-          "2010-02-27T03:15:00-07:00",
-          "2010-02-27T03:16:00-07:00",
-          "2010-02-27T03:17:00-07:00",
-          "2010-02-27T03:18:00-07:00",
-          "2010-02-27T03:19:00-07:00",
-          "2010-02-27T03:20:00-07:00",
-          "2010-02-27T03:21:00-07:00",
-          "2010-02-27T03:22:00-07:00",
-          "2010-02-27T03:23:00-07:00",
-          "2010-02-27T03:24:00-07:00",
-          "2010-02-27T03:25:00-07:00",
-          "2010-02-27T03:26:00-07:00",
-          "2010-02-27T03:27:00-07:00",
-          "2010-02-27T03:28:00-07:00",
-          "2010-02-27T03:29:00-07:00",
-          "2010-02-27T03:30:00-07:00",
-          "2010-02-27T03:31:00-07:00",
-          "2010-02-27T03:32:00-07:00",
-          "2010-02-27T03:33:00-07:00",
-          "2010-02-27T03:34:00-07:00",
-          "2010-02-27T03:35:00-07:00",
-          "2010-02-27T03:36:00-07:00",
-          "2010-02-27T03:37:00-07:00",
-          "2010-02-27T03:38:00-07:00",
-          "2010-02-27T03:39:00-07:00",
-          "2010-02-27T03:40:00-07:00",
-          "2010-02-27T03:41:00-07:00",
-          "2010-02-27T03:42:00-07:00",
-          "2010-02-27T03:43:00-07:00",
-          "2010-02-27T03:44:00-07:00",
-          "2010-02-27T03:45:00-07:00",
-          "2010-02-27T03:46:00-07:00",
-          "2010-02-27T03:47:00-07:00",
-          "2010-02-27T03:48:00-07:00",
-          "2010-02-27T03:49:00-07:00",
-          "2010-02-27T03:50:00-07:00",
-          "2010-02-27T03:51:00-07:00",
-          "2010-02-27T03:52:00-07:00",
-          "2010-02-27T03:53:00-07:00",
-          "2010-02-27T03:54:00-07:00",
-          "2010-02-27T03:55:00-07:00",
-          "2010-02-27T03:56:00-07:00",
-          "2010-02-27T03:57:00-07:00",
-          "2010-02-27T03:58:00-07:00",
-          "2010-02-27T03:59:00-07:00",
-          "2010-02-27T04:00:00-07:00",
-          "2010-02-27T04:01:00-07:00",
-          "2010-02-27T04:02:00-07:00",
-          "2010-02-27T04:03:00-07:00",
-          "2010-02-27T04:04:00-07:00",
-          "2010-02-27T04:05:00-07:00",
-          "2010-02-27T04:06:00-07:00",
-          "2010-02-27T04:07:00-07:00",
-          "2010-02-27T04:08:00-07:00",
-          "2010-02-27T04:09:00-07:00",
-          "2010-02-27T04:10:00-07:00",
-          "2010-02-27T04:11:00-07:00",
-          "2010-02-27T04:12:00-07:00",
-          "2010-02-27T04:13:00-07:00",
-          "2010-02-27T04:14:00-07:00",
-          "2010-02-27T04:15:00-07:00",
-          "2010-02-27T04:16:00-07:00",
-          "2010-02-27T04:17:00-07:00",
-          "2010-02-27T04:18:00-07:00",
-          "2010-02-27T04:19:00-07:00",
-          "2010-02-27T04:20:00-07:00",
-          "2010-02-27T04:21:00-07:00",
-          "2010-02-27T04:22:00-07:00",
-          "2010-02-27T04:23:00-07:00",
-          "2010-02-27T04:24:00-07:00",
-          "2010-02-27T04:25:00-07:00",
-          "2010-02-27T04:26:00-07:00",
-          "2010-02-27T04:27:00-07:00",
-          "2010-02-27T04:28:00-07:00",
-          "2010-02-27T04:29:00-07:00",
-          "2010-02-27T04:30:00-07:00",
-          "2010-02-27T04:31:00-07:00",
-          "2010-02-27T04:32:00-07:00",
-          "2010-02-27T04:33:00-07:00",
-          "2010-02-27T04:34:00-07:00",
-          "2010-02-27T04:35:00-07:00",
-          "2010-02-27T04:36:00-07:00",
-          "2010-02-27T04:37:00-07:00",
-          "2010-02-27T04:38:00-07:00",
-          "2010-02-27T04:39:00-07:00",
-          "2010-02-27T04:40:00-07:00",
-          "2010-02-27T04:41:00-07:00",
-          "2010-02-27T04:42:00-07:00",
-          "2010-02-27T04:43:00-07:00",
-          "2010-02-27T04:44:00-07:00",
-          "2010-02-27T04:45:00-07:00",
-          "2010-02-27T04:46:00-07:00",
-          "2010-02-27T04:47:00-07:00",
-          "2010-02-27T04:48:00-07:00",
-          "2010-02-27T04:49:00-07:00",
-          "2010-02-27T04:50:00-07:00",
-          "2010-02-27T04:51:00-07:00",
-          "2010-02-27T04:52:00-07:00",
-          "2010-02-27T04:53:00-07:00",
-          "2010-02-27T04:54:00-07:00",
-          "2010-02-27T04:55:00-07:00",
-          "2010-02-27T04:56:00-07:00",
-          "2010-02-27T04:57:00-07:00",
-          "2010-02-27T04:58:00-07:00",
-          "2010-02-27T04:59:00-07:00",
-          "2010-02-27T05:00:00-07:00",
-          "2010-02-27T05:01:00-07:00",
-          "2010-02-27T05:02:00-07:00",
-          "2010-02-27T05:03:00-07:00",
-          "2010-02-27T05:04:00-07:00",
-          "2010-02-27T05:05:00-07:00",
-          "2010-02-27T05:06:00-07:00",
-          "2010-02-27T05:07:00-07:00",
-          "2010-02-27T05:08:00-07:00",
-          "2010-02-27T05:09:00-07:00",
-          "2010-02-27T05:10:00-07:00",
-          "2010-02-27T05:11:00-07:00",
-          "2010-02-27T05:12:00-07:00",
-          "2010-02-27T05:13:00-07:00",
-          "2010-02-27T05:14:00-07:00",
-          "2010-02-27T05:15:00-07:00",
-          "2010-02-27T05:16:00-07:00",
-          "2010-02-27T05:17:00-07:00",
-          "2010-02-27T05:18:00-07:00",
-          "2010-02-27T05:19:00-07:00",
-          "2010-02-27T05:20:00-07:00",
-          "2010-02-27T05:21:00-07:00",
-          "2010-02-27T05:22:00-07:00",
-          "2010-02-27T05:23:00-07:00",
-          "2010-02-27T05:24:00-07:00",
-          "2010-02-27T05:25:00-07:00",
-          "2010-02-27T05:26:00-07:00",
-          "2010-02-27T05:27:00-07:00",
-          "2010-02-27T05:28:00-07:00",
-          "2010-02-27T05:29:00-07:00",
-          "2010-02-27T05:30:00-07:00",
-          "2010-02-27T05:31:00-07:00",
-          "2010-02-27T05:32:00-07:00",
-          "2010-02-27T05:33:00-07:00",
-          "2010-02-27T05:34:00-07:00",
-          "2010-02-27T05:35:00-07:00",
-          "2010-02-27T05:36:00-07:00",
-          "2010-02-27T05:37:00-07:00",
-          "2010-02-27T05:38:00-07:00",
-          "2010-02-27T05:39:00-07:00",
-          "2010-02-27T05:40:00-07:00",
-          "2010-02-27T05:41:00-07:00",
-          "2010-02-27T05:42:00-07:00",
-          "2010-02-27T05:43:00-07:00",
-          "2010-02-27T05:44:00-07:00",
-          "2010-02-27T05:45:00-07:00",
-          "2010-02-27T05:46:00-07:00",
-          "2010-02-27T05:47:00-07:00",
-          "2010-02-27T05:48:00-07:00",
-          "2010-02-27T05:49:00-07:00",
-          "2010-02-27T05:50:00-07:00",
-          "2010-02-27T05:51:00-07:00",
-          "2010-02-27T05:52:00-07:00",
-          "2010-02-27T05:53:00-07:00",
-          "2010-02-27T05:54:00-07:00",
-          "2010-02-27T05:55:00-07:00",
-          "2010-02-27T05:56:00-07:00",
-          "2010-02-27T05:57:00-07:00",
-          "2010-02-27T05:58:00-07:00",
-          "2010-02-27T05:59:00-07:00",
-          "2010-02-27T06:00:00-07:00",
-          "2010-02-27T06:01:00-07:00",
-          "2010-02-27T06:02:00-07:00",
-          "2010-02-27T06:03:00-07:00",
-          "2010-02-27T06:04:00-07:00",
-          "2010-02-27T06:05:00-07:00",
-          "2010-02-27T06:06:00-07:00",
-          "2010-02-27T06:07:00-07:00",
-          "2010-02-27T06:08:00-07:00",
-          "2010-02-27T06:09:00-07:00",
-          "2010-02-27T06:10:00-07:00",
-          "2010-02-27T06:11:00-07:00",
-          "2010-02-27T06:12:00-07:00",
-          "2010-02-27T06:13:00-07:00",
-          "2010-02-27T06:14:00-07:00",
-          "2010-02-27T06:15:00-07:00",
-          "2010-02-27T06:16:00-07:00",
-          "2010-02-27T06:17:00-07:00",
-          "2010-02-27T06:18:00-07:00",
-          "2010-02-27T06:19:00-07:00",
-          "2010-02-27T06:20:00-07:00",
-          "2010-02-27T06:21:00-07:00",
-          "2010-02-27T06:22:00-07:00",
-          "2010-02-27T06:23:00-07:00",
-          "2010-02-27T06:24:00-07:00",
-          "2010-02-27T06:25:00-07:00",
-          "2010-02-27T06:26:00-07:00",
-          "2010-02-27T06:27:00-07:00",
-          "2010-02-27T06:28:00-07:00",
-          "2010-02-27T06:29:00-07:00",
-          "2010-02-27T06:30:00-07:00",
-          "2010-02-27T06:31:00-07:00",
-          "2010-02-27T06:32:00-07:00",
-          "2010-02-27T06:33:00-07:00",
-          "2010-02-27T06:34:00-07:00",
-          "2010-02-27T06:35:00-07:00",
-          "2010-02-27T06:36:00-07:00",
-          "2010-02-27T06:37:00-07:00",
-          "2010-02-27T06:38:00-07:00",
-          "2010-02-27T06:39:00-07:00",
-          "2010-02-27T06:40:00-07:00",
-          "2010-02-27T06:41:00-07:00",
-          "2010-02-27T06:42:00-07:00",
-          "2010-02-27T06:43:00-07:00",
-          "2010-02-27T06:44:00-07:00",
-          "2010-02-27T06:45:00-07:00",
-          "2010-02-27T06:46:00-07:00",
-          "2010-02-27T06:47:00-07:00",
-          "2010-02-27T06:48:00-07:00",
-          "2010-02-27T06:49:00-07:00",
-          "2010-02-27T06:50:00-07:00",
-          "2010-02-27T06:51:00-07:00",
-          "2010-02-27T06:52:00-07:00",
-          "2010-02-27T06:53:00-07:00",
-          "2010-02-27T06:54:00-07:00",
-          "2010-02-27T06:55:00-07:00",
-          "2010-02-27T06:56:00-07:00",
-          "2010-02-27T06:57:00-07:00",
-          "2010-02-27T06:58:00-07:00",
-          "2010-02-27T06:59:00-07:00",
-          "2010-02-27T07:00:00-07:00",
-          "2010-02-27T07:01:00-07:00",
-          "2010-02-27T07:02:00-07:00",
-          "2010-02-27T07:03:00-07:00",
-          "2010-02-27T07:04:00-07:00",
-          "2010-02-27T07:05:00-07:00",
-          "2010-02-27T07:06:00-07:00",
-          "2010-02-27T07:07:00-07:00",
-          "2010-02-27T07:08:00-07:00",
-          "2010-02-27T07:09:00-07:00",
-          "2010-02-27T07:10:00-07:00",
-          "2010-02-27T07:11:00-07:00",
-          "2010-02-27T07:12:00-07:00",
-          "2010-02-27T07:13:00-07:00",
-          "2010-02-27T07:14:00-07:00",
-          "2010-02-27T07:15:00-07:00",
-          "2010-02-27T07:16:00-07:00",
-          "2010-02-27T07:17:00-07:00",
-          "2010-02-27T07:18:00-07:00",
-          "2010-02-27T07:19:00-07:00",
-          "2010-02-27T07:20:00-07:00",
-          "2010-02-27T07:21:00-07:00",
-          "2010-02-27T07:22:00-07:00",
-          "2010-02-27T07:23:00-07:00",
-          "2010-02-27T07:24:00-07:00",
-          "2010-02-27T07:25:00-07:00",
-          "2010-02-27T07:26:00-07:00",
-          "2010-02-27T07:27:00-07:00",
-          "2010-02-27T07:28:00-07:00",
-          "2010-02-27T07:29:00-07:00",
-          "2010-02-27T07:30:00-07:00",
-          "2010-02-27T07:31:00-07:00",
-          "2010-02-27T07:32:00-07:00",
-          "2010-02-27T07:33:00-07:00",
-          "2010-02-27T07:34:00-07:00",
-          "2010-02-27T07:35:00-07:00",
-          "2010-02-27T07:36:00-07:00",
-          "2010-02-27T07:37:00-07:00",
-          "2010-02-27T07:38:00-07:00",
-          "2010-02-27T07:39:00-07:00",
-          "2010-02-27T07:40:00-07:00",
-          "2010-02-27T07:41:00-07:00",
-          "2010-02-27T07:42:00-07:00",
-          "2010-02-27T07:43:00-07:00",
-          "2010-02-27T07:44:00-07:00",
-          "2010-02-27T07:45:00-07:00",
-          "2010-02-27T07:46:00-07:00",
-          "2010-02-27T07:47:00-07:00",
-          "2010-02-27T07:48:00-07:00",
-          "2010-02-27T07:49:00-07:00",
-          "2010-02-27T07:50:00-07:00",
-          "2010-02-27T07:51:00-07:00",
-          "2010-02-27T07:52:00-07:00",
-          "2010-02-27T07:53:00-07:00",
-          "2010-02-27T07:54:00-07:00",
-          "2010-02-27T07:55:00-07:00",
-          "2010-02-27T07:56:00-07:00",
-          "2010-02-27T07:57:00-07:00",
-          "2010-02-27T07:58:00-07:00",
-          "2010-02-27T07:59:00-07:00",
-          "2010-02-27T08:00:00-07:00",
-          "2010-02-27T08:01:00-07:00",
-          "2010-02-27T08:02:00-07:00",
-          "2010-02-27T08:03:00-07:00",
-          "2010-02-27T08:04:00-07:00",
-          "2010-02-27T08:05:00-07:00",
-          "2010-02-27T08:06:00-07:00",
-          "2010-02-27T08:07:00-07:00",
-          "2010-02-27T08:08:00-07:00",
-          "2010-02-27T08:09:00-07:00",
-          "2010-02-27T08:10:00-07:00",
-          "2010-02-27T08:11:00-07:00",
-          "2010-02-27T08:12:00-07:00",
-          "2010-02-27T08:13:00-07:00",
-          "2010-02-27T08:14:00-07:00",
-          "2010-02-27T08:15:00-07:00",
-          "2010-02-27T08:16:00-07:00",
-          "2010-02-27T08:17:00-07:00",
-          "2010-02-27T08:18:00-07:00",
-          "2010-02-27T08:19:00-07:00",
-          "2010-02-27T08:20:00-07:00",
-          "2010-02-27T08:21:00-07:00",
-          "2010-02-27T08:22:00-07:00",
-          "2010-02-27T08:23:00-07:00",
-          "2010-02-27T08:24:00-07:00",
-          "2010-02-27T08:25:00-07:00",
-          "2010-02-27T08:26:00-07:00",
-          "2010-02-27T08:27:00-07:00",
-          "2010-02-27T08:28:00-07:00",
-          "2010-02-27T08:29:00-07:00",
-          "2010-02-27T08:30:00-07:00",
-          "2010-02-27T08:31:00-07:00",
-          "2010-02-27T08:32:00-07:00",
-          "2010-02-27T08:33:00-07:00",
-          "2010-02-27T08:34:00-07:00",
-          "2010-02-27T08:35:00-07:00",
-          "2010-02-27T08:36:00-07:00",
-          "2010-02-27T08:37:00-07:00",
-          "2010-02-27T08:38:00-07:00",
-          "2010-02-27T08:39:00-07:00",
-          "2010-02-27T08:40:00-07:00",
-          "2010-02-27T08:41:00-07:00",
-          "2010-02-27T08:42:00-07:00",
-          "2010-02-27T08:43:00-07:00",
-          "2010-02-27T08:44:00-07:00",
-          "2010-02-27T08:45:00-07:00",
-          "2010-02-27T08:46:00-07:00",
-          "2010-02-27T08:47:00-07:00",
-          "2010-02-27T08:48:00-07:00",
-          "2010-02-27T08:49:00-07:00",
-          "2010-02-27T08:50:00-07:00",
-          "2010-02-27T08:51:00-07:00",
-          "2010-02-27T08:52:00-07:00",
-          "2010-02-27T08:53:00-07:00",
-          "2010-02-27T08:54:00-07:00",
-          "2010-02-27T08:55:00-07:00",
-          "2010-02-27T08:56:00-07:00",
-          "2010-02-27T08:57:00-07:00",
-          "2010-02-27T08:58:00-07:00",
-          "2010-02-27T08:59:00-07:00",
-          "2010-02-27T09:00:00-07:00",
-          "2010-02-27T09:01:00-07:00",
-          "2010-02-27T09:02:00-07:00",
-          "2010-02-27T09:03:00-07:00",
-          "2010-02-27T09:04:00-07:00",
-          "2010-02-27T09:05:00-07:00",
-          "2010-02-27T09:06:00-07:00",
-          "2010-02-27T09:07:00-07:00",
-          "2010-02-27T09:08:00-07:00",
-          "2010-02-27T09:09:00-07:00",
-          "2010-02-27T09:10:00-07:00",
-          "2010-02-27T09:11:00-07:00",
-          "2010-02-27T09:12:00-07:00",
-          "2010-02-27T09:13:00-07:00",
-          "2010-02-27T09:14:00-07:00",
-          "2010-02-27T09:15:00-07:00",
-          "2010-02-27T09:16:00-07:00",
-          "2010-02-27T09:17:00-07:00",
-          "2010-02-27T09:18:00-07:00",
-          "2010-02-27T09:19:00-07:00",
-          "2010-02-27T09:20:00-07:00",
-          "2010-02-27T09:21:00-07:00",
-          "2010-02-27T09:22:00-07:00",
-          "2010-02-27T09:23:00-07:00",
-          "2010-02-27T09:24:00-07:00",
-          "2010-02-27T09:25:00-07:00",
-          "2010-02-27T09:26:00-07:00",
-          "2010-02-27T09:27:00-07:00",
-          "2010-02-27T09:28:00-07:00",
-          "2010-02-27T09:29:00-07:00",
-          "2010-02-27T09:30:00-07:00",
-          "2010-02-27T09:31:00-07:00",
-          "2010-02-27T09:32:00-07:00",
-          "2010-02-27T09:33:00-07:00",
-          "2010-02-27T09:34:00-07:00",
-          "2010-02-27T09:35:00-07:00",
-          "2010-02-27T09:36:00-07:00",
-          "2010-02-27T09:37:00-07:00",
-          "2010-02-27T09:38:00-07:00",
-          "2010-02-27T09:39:00-07:00",
-          "2010-02-27T09:40:00-07:00",
-          "2010-02-27T09:41:00-07:00",
-          "2010-02-27T09:42:00-07:00",
-          "2010-02-27T09:43:00-07:00",
-          "2010-02-27T09:44:00-07:00",
-          "2010-02-27T09:45:00-07:00",
-          "2010-02-27T09:46:00-07:00",
-          "2010-02-27T09:47:00-07:00",
-          "2010-02-27T09:48:00-07:00",
-          "2010-02-27T09:49:00-07:00",
-          "2010-02-27T09:50:00-07:00",
-          "2010-02-27T09:51:00-07:00",
-          "2010-02-27T09:52:00-07:00",
-          "2010-02-27T09:53:00-07:00",
-          "2010-02-27T09:54:00-07:00",
-          "2010-02-27T09:55:00-07:00",
-          "2010-02-27T09:56:00-07:00",
-          "2010-02-27T09:57:00-07:00",
-          "2010-02-27T09:58:00-07:00",
-          "2010-02-27T09:59:00-07:00",
-          "2010-02-27T10:00:00-07:00",
-          "2010-02-27T10:01:00-07:00",
-          "2010-02-27T10:02:00-07:00",
-          "2010-02-27T10:03:00-07:00",
-          "2010-02-27T10:04:00-07:00",
-          "2010-02-27T10:05:00-07:00",
-          "2010-02-27T10:06:00-07:00",
-          "2010-02-27T10:07:00-07:00",
-          "2010-02-27T10:08:00-07:00",
-          "2010-02-27T10:09:00-07:00",
-          "2010-02-27T10:10:00-07:00",
-          "2010-02-27T10:11:00-07:00",
-          "2010-02-27T10:12:00-07:00",
-          "2010-02-27T10:13:00-07:00",
-          "2010-02-27T10:14:00-07:00",
-          "2010-02-27T10:15:00-07:00",
-          "2010-02-27T10:16:00-07:00",
-          "2010-02-27T10:17:00-07:00",
-          "2010-02-27T10:18:00-07:00",
-          "2010-02-27T10:19:00-07:00",
-          "2010-02-27T10:20:00-07:00",
-          "2010-02-27T10:21:00-07:00",
-          "2010-02-27T10:22:00-07:00",
-          "2010-02-27T10:23:00-07:00",
-          "2010-02-27T10:24:00-07:00",
-          "2010-02-27T10:25:00-07:00",
-          "2010-02-27T10:26:00-07:00",
-          "2010-02-27T10:27:00-07:00",
-          "2010-02-27T10:28:00-07:00",
-          "2010-02-27T10:29:00-07:00",
-          "2010-02-27T10:30:00-07:00",
-          "2010-02-27T10:31:00-07:00",
-          "2010-02-27T10:32:00-07:00",
-          "2010-02-27T10:33:00-07:00",
-          "2010-02-27T10:34:00-07:00",
-          "2010-02-27T10:35:00-07:00",
-          "2010-02-27T10:36:00-07:00",
-          "2010-02-27T10:37:00-07:00",
-          "2010-02-27T10:38:00-07:00",
-          "2010-02-27T10:39:00-07:00",
-          "2010-02-27T10:40:00-07:00",
-          "2010-02-27T10:41:00-07:00",
-          "2010-02-27T10:42:00-07:00",
-          "2010-02-27T10:43:00-07:00",
-          "2010-02-27T10:44:00-07:00",
-          "2010-02-27T10:45:00-07:00",
-          "2010-02-27T10:46:00-07:00",
-          "2010-02-27T10:47:00-07:00",
-          "2010-02-27T10:48:00-07:00",
-          "2010-02-27T10:49:00-07:00",
-          "2010-02-27T10:50:00-07:00",
-          "2010-02-27T10:51:00-07:00",
-          "2010-02-27T10:52:00-07:00",
-          "2010-02-27T10:53:00-07:00",
-          "2010-02-27T10:54:00-07:00",
-          "2010-02-27T10:55:00-07:00",
-          "2010-02-27T10:56:00-07:00",
-          "2010-02-27T10:57:00-07:00",
-          "2010-02-27T10:58:00-07:00",
-          "2010-02-27T10:59:00-07:00",
-          "2010-02-27T11:00:00-07:00",
-          "2010-02-27T11:01:00-07:00",
-          "2010-02-27T11:02:00-07:00",
-          "2010-02-27T11:03:00-07:00",
-          "2010-02-27T11:04:00-07:00",
-          "2010-02-27T11:05:00-07:00",
-          "2010-02-27T11:06:00-07:00",
-          "2010-02-27T11:07:00-07:00",
-          "2010-02-27T11:08:00-07:00",
-          "2010-02-27T11:09:00-07:00",
-          "2010-02-27T11:10:00-07:00",
-          "2010-02-27T11:11:00-07:00",
-          "2010-02-27T11:12:00-07:00",
-          "2010-02-27T11:13:00-07:00",
-          "2010-02-27T11:14:00-07:00",
-          "2010-02-27T11:15:00-07:00",
-          "2010-02-27T11:16:00-07:00",
-          "2010-02-27T11:17:00-07:00",
-          "2010-02-27T11:18:00-07:00",
-          "2010-02-27T11:19:00-07:00",
-          "2010-02-27T11:20:00-07:00",
-          "2010-02-27T11:23:00-07:00",
-          "2010-02-27T11:24:00-07:00",
-          "2010-02-27T11:25:00-07:00",
-          "2010-02-27T11:26:00-07:00",
-          "2010-02-27T11:27:00-07:00",
-          "2010-02-27T11:28:00-07:00",
-          "2010-02-27T11:29:00-07:00",
-          "2010-02-27T11:30:00-07:00",
-          "2010-02-27T11:31:00-07:00",
-          "2010-02-27T11:32:00-07:00",
-          "2010-02-27T11:33:00-07:00",
-          "2010-02-27T11:34:00-07:00",
-          "2010-02-27T11:35:00-07:00",
-          "2010-02-27T11:38:00-07:00",
-          "2010-02-27T11:40:00-07:00",
-          "2010-02-27T11:41:00-07:00",
-          "2010-02-27T11:43:00-07:00",
-          "2010-02-27T11:45:00-07:00",
-          "2010-02-27T11:47:00-07:00",
-          "2010-02-27T11:48:00-07:00",
-          "2010-02-27T11:49:00-07:00",
-          "2010-02-27T11:50:00-07:00",
-          "2010-02-27T11:51:00-07:00",
-          "2010-02-27T11:52:00-07:00",
-          "2010-02-27T11:53:00-07:00",
-          "2010-02-27T11:54:00-07:00",
-          "2010-02-27T11:55:00-07:00",
-          "2010-02-27T11:56:00-07:00",
-          "2010-02-27T11:59:00-07:00",
-          "2010-02-27T12:01:00-07:00",
-          "2010-02-27T12:02:00-07:00",
-          "2010-02-27T12:03:00-07:00",
-          "2010-02-27T12:04:00-07:00",
-          "2010-02-27T12:05:00-07:00",
-          "2010-02-27T12:06:00-07:00",
-          "2010-02-27T12:07:00-07:00",
-          "2010-02-27T12:08:00-07:00",
-          "2010-02-27T12:09:00-07:00",
-          "2010-02-27T12:10:00-07:00",
-          "2010-02-27T12:11:00-07:00",
-          "2010-02-27T12:12:00-07:00",
-          "2010-02-27T12:13:00-07:00",
-          "2010-02-27T12:14:00-07:00",
-          "2010-02-27T12:15:00-07:00",
-          "2010-02-27T12:16:00-07:00",
-          "2010-02-27T12:17:00-07:00",
-          "2010-02-27T12:18:00-07:00",
-          "2010-02-27T12:19:00-07:00",
-          "2010-02-27T12:20:00-07:00",
-          "2010-02-27T12:21:00-07:00",
-          "2010-02-27T12:22:00-07:00",
-          "2010-02-27T12:23:00-07:00",
-          "2010-02-27T12:24:00-07:00",
-          "2010-02-27T12:25:00-07:00",
-          "2010-02-27T12:26:00-07:00",
-          "2010-02-27T12:27:00-07:00",
-          "2010-02-27T12:28:00-07:00",
-          "2010-02-27T12:29:00-07:00",
-          "2010-02-27T12:30:00-07:00",
-          "2010-02-27T12:31:00-07:00",
-          "2010-02-27T12:32:00-07:00",
-          "2010-02-27T12:33:00-07:00",
-          "2010-02-27T12:34:00-07:00",
-          "2010-02-27T12:35:00-07:00",
-          "2010-02-27T12:36:00-07:00",
-          "2010-02-27T12:37:00-07:00",
-          "2010-02-27T12:38:00-07:00",
-          "2010-02-27T12:39:00-07:00",
-          "2010-02-27T12:40:00-07:00",
-          "2010-02-27T12:41:00-07:00",
-          "2010-02-27T12:42:00-07:00",
-          "2010-02-27T12:43:00-07:00",
-          "2010-02-27T12:44:00-07:00",
-          "2010-02-27T12:45:00-07:00",
-          "2010-02-27T12:46:00-07:00",
-          "2010-02-27T12:47:00-07:00",
-          "2010-02-27T12:48:00-07:00",
-          "2010-02-27T12:49:00-07:00",
-          "2010-02-27T12:50:00-07:00",
-          "2010-02-27T12:51:00-07:00",
-          "2010-02-27T12:52:00-07:00",
-          "2010-02-27T12:53:00-07:00",
-          "2010-02-27T12:54:00-07:00",
-          "2010-02-27T12:55:00-07:00",
-          "2010-02-27T12:56:00-07:00",
-          "2010-02-27T12:57:00-07:00",
-          "2010-02-27T12:58:00-07:00",
-          "2010-02-27T12:59:00-07:00",
-          "2010-02-27T13:00:00-07:00",
-          "2010-02-27T13:01:00-07:00",
-          "2010-02-27T13:02:00-07:00",
-          "2010-02-27T13:03:00-07:00",
-          "2010-02-27T13:04:00-07:00",
-          "2010-02-27T13:05:00-07:00",
-          "2010-02-27T13:06:00-07:00",
-          "2010-02-27T13:07:00-07:00",
-          "2010-02-27T13:08:00-07:00",
-          "2010-02-27T13:09:00-07:00",
-          "2010-02-27T13:10:00-07:00",
-          "2010-02-27T13:11:00-07:00",
-          "2010-02-27T13:12:00-07:00",
-          "2010-02-27T13:13:00-07:00",
-          "2010-02-27T13:14:00-07:00",
-          "2010-02-27T13:15:00-07:00",
-          "2010-02-27T13:16:00-07:00",
-          "2010-02-27T13:17:00-07:00",
-          "2010-02-27T13:18:00-07:00",
-          "2010-02-27T13:19:00-07:00",
-          "2010-02-27T13:20:00-07:00",
-          "2010-02-27T13:21:00-07:00",
-          "2010-02-27T13:22:00-07:00",
-          "2010-02-27T13:23:00-07:00",
-          "2010-02-27T13:24:00-07:00",
-          "2010-02-27T13:25:00-07:00",
-          "2010-02-27T13:26:00-07:00",
-          "2010-02-27T13:27:00-07:00",
-          "2010-02-27T13:28:00-07:00",
-          "2010-02-27T13:29:00-07:00",
-          "2010-02-27T13:30:00-07:00",
-          "2010-02-27T13:31:00-07:00",
-          "2010-02-27T13:32:00-07:00",
-          "2010-02-27T13:33:00-07:00",
-          "2010-02-27T13:34:00-07:00",
-          "2010-02-27T13:35:00-07:00",
-          "2010-02-27T13:36:00-07:00",
-          "2010-02-27T13:37:00-07:00",
-          "2010-02-27T13:38:00-07:00",
-          "2010-02-27T13:39:00-07:00",
-          "2010-02-27T13:40:00-07:00",
-          "2010-02-27T13:41:00-07:00",
-          "2010-02-27T13:42:00-07:00",
-          "2010-02-27T13:43:00-07:00",
-          "2010-02-27T13:44:00-07:00",
-          "2010-02-27T13:45:00-07:00",
-          "2010-02-27T13:46:00-07:00",
-          "2010-02-27T13:47:00-07:00",
-          "2010-02-27T13:48:00-07:00",
-          "2010-02-27T13:49:00-07:00",
-          "2010-02-27T13:50:00-07:00",
-          "2010-02-27T13:51:00-07:00",
-          "2010-02-27T13:52:00-07:00",
-          "2010-02-27T13:53:00-07:00",
-          "2010-02-27T13:54:00-07:00",
-          "2010-02-27T13:55:00-07:00",
-          "2010-02-27T13:56:00-07:00",
-          "2010-02-27T13:57:00-07:00",
-          "2010-02-27T13:58:00-07:00",
-          "2010-02-27T13:59:00-07:00",
-          "2010-02-27T14:00:00-07:00",
-          "2010-02-27T14:01:00-07:00",
-          "2010-02-27T14:02:00-07:00",
-          "2010-02-27T14:03:00-07:00",
-          "2010-02-27T14:04:00-07:00",
-          "2010-02-27T14:05:00-07:00",
-          "2010-02-27T14:06:00-07:00",
-          "2010-02-27T14:07:00-07:00",
-          "2010-02-27T14:08:00-07:00",
-          "2010-02-27T14:09:00-07:00",
-          "2010-02-27T14:10:00-07:00",
-          "2010-02-27T14:11:00-07:00",
-          "2010-02-27T14:12:00-07:00",
-          "2010-02-27T14:13:00-07:00",
-          "2010-02-27T14:14:00-07:00",
-          "2010-02-27T14:15:00-07:00",
-          "2010-02-27T14:16:00-07:00",
-          "2010-02-27T14:17:00-07:00",
-          "2010-02-27T14:18:00-07:00",
-          "2010-02-27T14:19:00-07:00",
-          "2010-02-27T14:20:00-07:00",
-          "2010-02-27T14:21:00-07:00",
-          "2010-02-27T14:22:00-07:00",
-          "2010-02-27T14:23:00-07:00",
-          "2010-02-27T14:24:00-07:00",
-          "2010-02-27T14:25:00-07:00",
-          "2010-02-27T14:26:00-07:00",
-          "2010-02-27T14:27:00-07:00",
-          "2010-02-27T14:28:00-07:00",
-          "2010-02-27T14:29:00-07:00",
-          "2010-02-27T14:30:00-07:00",
-          "2010-02-27T14:31:00-07:00",
-          "2010-02-27T14:32:00-07:00",
-          "2010-02-27T14:33:00-07:00",
-          "2010-02-27T14:34:00-07:00",
-          "2010-02-27T14:35:00-07:00",
-          "2010-02-27T14:36:00-07:00",
-          "2010-02-27T14:37:00-07:00",
-          "2010-02-27T14:38:00-07:00",
-          "2010-02-27T14:39:00-07:00",
-          "2010-02-27T14:40:00-07:00",
-          "2010-02-27T14:41:00-07:00",
-          "2010-02-27T14:42:00-07:00",
-          "2010-02-27T14:43:00-07:00",
-          "2010-02-27T14:44:00-07:00",
-          "2010-02-27T14:45:00-07:00",
-          "2010-02-27T14:46:00-07:00",
-          "2010-02-27T14:47:00-07:00",
-          "2010-02-27T14:48:00-07:00",
-          "2010-02-27T14:49:00-07:00",
-          "2010-02-27T14:50:00-07:00",
-          "2010-02-27T14:51:00-07:00",
-          "2010-02-27T14:52:00-07:00",
-          "2010-02-27T14:53:00-07:00",
-          "2010-02-27T14:54:00-07:00",
-          "2010-02-27T14:55:00-07:00",
-          "2010-02-27T14:56:00-07:00",
-          "2010-02-27T14:57:00-07:00",
-          "2010-02-27T14:58:00-07:00",
-          "2010-02-27T14:59:00-07:00",
-          "2010-02-27T15:00:00-07:00",
-          "2010-02-27T15:01:00-07:00",
-          "2010-02-27T15:02:00-07:00",
-          "2010-02-27T15:03:00-07:00",
-          "2010-02-27T15:04:00-07:00",
-          "2010-02-27T15:05:00-07:00",
-          "2010-02-27T15:06:00-07:00",
-          "2010-02-27T15:07:00-07:00",
-          "2010-02-27T15:08:00-07:00",
-          "2010-02-27T15:09:00-07:00",
-          "2010-02-27T15:10:00-07:00",
-          "2010-02-27T15:11:00-07:00",
-          "2010-02-27T15:12:00-07:00",
-          "2010-02-27T15:13:00-07:00",
-          "2010-02-27T15:14:00-07:00",
-          "2010-02-27T15:15:00-07:00",
-          "2010-02-27T15:16:00-07:00",
-          "2010-02-27T15:17:00-07:00",
-          "2010-02-27T15:18:00-07:00",
-          "2010-02-27T15:19:00-07:00",
-          "2010-02-27T15:20:00-07:00",
-          "2010-02-27T15:21:00-07:00",
-          "2010-02-27T15:22:00-07:00",
-          "2010-02-27T15:23:00-07:00",
-          "2010-02-27T15:24:00-07:00",
-          "2010-02-27T15:25:00-07:00",
-          "2010-02-27T15:26:00-07:00",
-          "2010-02-27T15:27:00-07:00",
-          "2010-02-27T15:28:00-07:00",
-          "2010-02-27T15:29:00-07:00",
-          "2010-02-27T15:30:00-07:00",
-          "2010-02-27T15:31:00-07:00",
-          "2010-02-27T15:32:00-07:00",
-          "2010-02-27T15:33:00-07:00",
-          "2010-02-27T15:34:00-07:00",
-          "2010-02-27T15:35:00-07:00",
-          "2010-02-27T15:36:00-07:00",
-          "2010-02-27T15:37:00-07:00",
-          "2010-02-27T15:38:00-07:00",
-          "2010-02-27T15:39:00-07:00",
-          "2010-02-27T15:40:00-07:00",
-          "2010-02-27T15:41:00-07:00",
-          "2010-02-27T15:42:00-07:00",
-          "2010-02-27T15:43:00-07:00",
-          "2010-02-27T15:44:00-07:00",
-          "2010-02-27T15:45:00-07:00",
-          "2010-02-27T15:46:00-07:00",
-          "2010-02-27T15:47:00-07:00",
-          "2010-02-27T15:48:00-07:00",
-          "2010-02-27T15:49:00-07:00",
-          "2010-02-27T15:50:00-07:00",
-          "2010-02-27T15:51:00-07:00",
-          "2010-02-27T15:52:00-07:00",
-          "2010-02-27T15:53:00-07:00",
-          "2010-02-27T15:54:00-07:00",
-          "2010-02-27T15:55:00-07:00",
-          "2010-02-27T15:56:00-07:00",
-          "2010-02-27T15:57:00-07:00",
-          "2010-02-27T15:58:00-07:00",
-          "2010-02-27T15:59:00-07:00",
-          "2010-02-27T16:00:00-07:00",
-          "2010-02-27T16:01:00-07:00",
-          "2010-02-27T16:02:00-07:00",
-          "2010-02-27T16:03:00-07:00",
-          "2010-02-27T16:04:00-07:00",
-          "2010-02-27T16:05:00-07:00",
-          "2010-02-27T16:06:00-07:00",
-          "2010-02-27T16:07:00-07:00",
-          "2010-02-27T16:08:00-07:00",
-          "2010-02-27T16:09:00-07:00",
-          "2010-02-27T16:10:00-07:00",
-          "2010-02-27T16:11:00-07:00",
-          "2010-02-27T16:12:00-07:00",
-          "2010-02-27T16:13:00-07:00",
-          "2010-02-27T16:14:00-07:00",
-          "2010-02-27T16:15:00-07:00",
-          "2010-02-27T16:16:00-07:00",
-          "2010-02-27T16:17:00-07:00",
-          "2010-02-27T16:18:00-07:00",
-          "2010-02-27T16:19:00-07:00",
-          "2010-02-27T16:20:00-07:00",
-          "2010-02-27T16:21:00-07:00",
-          "2010-02-27T16:22:00-07:00",
-          "2010-02-27T16:23:00-07:00",
-          "2010-02-27T16:24:00-07:00",
-          "2010-02-27T16:25:00-07:00",
-          "2010-02-27T16:26:00-07:00",
-          "2010-02-27T16:27:00-07:00",
-          "2010-02-27T16:28:00-07:00",
-          "2010-02-27T16:29:00-07:00",
-          "2010-02-27T16:30:00-07:00",
-          "2010-02-27T16:31:00-07:00",
-          "2010-02-27T16:32:00-07:00",
-          "2010-02-27T16:33:00-07:00",
-          "2010-02-27T16:34:00-07:00",
-          "2010-02-27T16:35:00-07:00",
-          "2010-02-27T16:36:00-07:00",
-          "2010-02-27T16:37:00-07:00",
-          "2010-02-27T16:38:00-07:00",
-          "2010-02-27T16:39:00-07:00",
-          "2010-02-27T16:40:00-07:00",
-          "2010-02-27T16:41:00-07:00",
-          "2010-02-27T16:42:00-07:00",
-          "2010-02-27T16:43:00-07:00",
-          "2010-02-27T16:44:00-07:00",
-          "2010-02-27T16:45:00-07:00",
-          "2010-02-27T16:46:00-07:00",
-          "2010-02-27T16:47:00-07:00",
-          "2010-02-27T16:48:00-07:00",
-          "2010-02-27T16:49:00-07:00",
-          "2010-02-27T16:50:00-07:00",
-          "2010-02-27T16:51:00-07:00",
-          "2010-02-27T16:52:00-07:00",
-          "2010-02-27T16:53:00-07:00",
-          "2010-02-27T16:54:00-07:00",
-          "2010-02-27T16:55:00-07:00",
-          "2010-02-27T16:56:00-07:00",
-          "2010-02-27T16:57:00-07:00",
-          "2010-02-27T16:58:00-07:00",
-          "2010-02-27T16:59:00-07:00",
-          "2010-02-27T17:00:00-07:00",
-          "2010-02-27T17:01:00-07:00",
-          "2010-02-27T17:02:00-07:00",
-          "2010-02-27T17:03:00-07:00",
-          "2010-02-27T17:04:00-07:00",
-          "2010-02-27T17:05:00-07:00",
-          "2010-02-27T17:06:00-07:00",
-          "2010-02-27T17:07:00-07:00",
-          "2010-02-27T17:08:00-07:00",
-          "2010-02-27T17:09:00-07:00",
-          "2010-02-27T17:10:00-07:00",
-          "2010-02-27T17:11:00-07:00",
-          "2010-02-27T17:12:00-07:00",
-          "2010-02-27T17:13:00-07:00",
-          "2010-02-27T17:14:00-07:00",
-          "2010-02-27T17:15:00-07:00",
-          "2010-02-27T17:16:00-07:00",
-          "2010-02-27T17:17:00-07:00",
-          "2010-02-27T17:18:00-07:00",
-          "2010-02-27T17:19:00-07:00",
-          "2010-02-27T17:20:00-07:00",
-          "2010-02-27T17:21:00-07:00",
-          "2010-02-27T17:22:00-07:00",
-          "2010-02-27T17:23:00-07:00",
-          "2010-02-27T17:24:00-07:00",
-          "2010-02-27T17:25:00-07:00",
-          "2010-02-27T17:26:00-07:00",
-          "2010-02-27T17:27:00-07:00",
-          "2010-02-27T17:28:00-07:00",
-          "2010-02-27T17:29:00-07:00",
-          "2010-02-27T17:30:00-07:00",
-          "2010-02-27T17:31:00-07:00",
-          "2010-02-27T17:32:00-07:00",
-          "2010-02-27T17:33:00-07:00",
-          "2010-02-27T17:34:00-07:00",
-          "2010-02-27T17:35:00-07:00",
-          "2010-02-27T17:36:00-07:00",
-          "2010-02-27T17:37:00-07:00",
-          "2010-02-27T17:38:00-07:00",
-          "2010-02-27T17:39:00-07:00",
-          "2010-02-27T17:40:00-07:00",
-          "2010-02-27T17:41:00-07:00",
-          "2010-02-27T17:42:00-07:00",
-          "2010-02-27T17:43:00-07:00",
-          "2010-02-27T17:44:00-07:00",
-          "2010-02-27T17:45:00-07:00",
-          "2010-02-27T17:46:00-07:00",
-          "2010-02-27T17:47:00-07:00",
-          "2010-02-27T17:48:00-07:00",
-          "2010-02-27T17:49:00-07:00",
-          "2010-02-27T17:50:00-07:00",
-          "2010-02-27T17:51:00-07:00",
-          "2010-02-27T17:52:00-07:00",
-          "2010-02-27T17:53:00-07:00",
-          "2010-02-27T17:54:00-07:00",
-          "2010-02-27T17:55:00-07:00",
-          "2010-02-27T17:56:00-07:00",
-          "2010-02-27T17:57:00-07:00",
-          "2010-02-27T17:58:00-07:00",
-          "2010-02-27T17:59:00-07:00",
-          "2010-02-27T18:00:00-07:00",
-          "2010-02-27T18:01:00-07:00",
-          "2010-02-27T18:02:00-07:00",
-          "2010-02-27T18:03:00-07:00",
-          "2010-02-27T18:04:00-07:00",
-          "2010-02-27T18:05:00-07:00",
-          "2010-02-27T18:06:00-07:00",
-          "2010-02-27T18:07:00-07:00",
-          "2010-02-27T18:08:00-07:00",
-          "2010-02-27T18:09:00-07:00",
-          "2010-02-27T18:10:00-07:00",
-          "2010-02-27T18:11:00-07:00",
-          "2010-02-27T18:12:00-07:00",
-          "2010-02-27T18:13:00-07:00",
-          "2010-02-27T18:14:00-07:00",
-          "2010-02-27T18:15:00-07:00",
-          "2010-02-27T18:16:00-07:00",
-          "2010-02-27T18:17:00-07:00",
-          "2010-02-27T18:18:00-07:00",
-          "2010-02-27T18:19:00-07:00",
-          "2010-02-27T18:20:00-07:00",
-          "2010-02-27T18:21:00-07:00",
-          "2010-02-27T18:22:00-07:00",
-          "2010-02-27T18:23:00-07:00",
-          "2010-02-27T18:24:00-07:00",
-          "2010-02-27T18:25:00-07:00",
-          "2010-02-27T18:26:00-07:00",
-          "2010-02-27T18:27:00-07:00",
-          "2010-02-27T18:28:00-07:00",
-          "2010-02-27T18:29:00-07:00",
-          "2010-02-27T18:30:00-07:00",
-          "2010-02-27T18:31:00-07:00",
-          "2010-02-27T18:32:00-07:00",
-          "2010-02-27T18:33:00-07:00",
-          "2010-02-27T18:34:00-07:00",
-          "2010-02-27T18:35:00-07:00",
-          "2010-02-27T18:36:00-07:00",
-          "2010-02-27T18:37:00-07:00",
-          "2010-02-27T18:38:00-07:00",
-          "2010-02-27T18:39:00-07:00",
-          "2010-02-27T18:40:00-07:00",
-          "2010-02-27T18:41:00-07:00",
-          "2010-02-27T18:42:00-07:00",
-          "2010-02-27T18:43:00-07:00",
-          "2010-02-27T18:44:00-07:00",
-          "2010-02-27T18:45:00-07:00",
-          "2010-02-27T18:46:00-07:00",
-          "2010-02-27T18:47:00-07:00",
-          "2010-02-27T18:48:00-07:00",
-          "2010-02-27T18:49:00-07:00",
-          "2010-02-27T18:50:00-07:00",
-          "2010-02-27T18:51:00-07:00",
-          "2010-02-27T18:52:00-07:00",
-          "2010-02-27T18:53:00-07:00",
-          "2010-02-27T18:54:00-07:00",
-          "2010-02-27T18:55:00-07:00",
-          "2010-02-27T18:56:00-07:00",
-          "2010-02-27T18:57:00-07:00",
-          "2010-02-27T18:58:00-07:00",
-          "2010-02-27T18:59:00-07:00",
-          "2010-02-27T19:00:00-07:00",
-          "2010-02-27T19:01:00-07:00",
-          "2010-02-27T19:02:00-07:00",
-          "2010-02-27T19:03:00-07:00",
-          "2010-02-27T19:04:00-07:00",
-          "2010-02-27T19:05:00-07:00",
-          "2010-02-27T19:06:00-07:00",
-          "2010-02-27T19:07:00-07:00",
-          "2010-02-27T19:08:00-07:00",
-          "2010-02-27T19:09:00-07:00",
-          "2010-02-27T19:10:00-07:00",
-          "2010-02-27T19:11:00-07:00",
-          "2010-02-27T19:12:00-07:00",
-          "2010-02-27T19:13:00-07:00",
-          "2010-02-27T19:14:00-07:00",
-          "2010-02-27T19:15:00-07:00",
-          "2010-02-27T19:16:00-07:00",
-          "2010-02-27T19:17:00-07:00",
-          "2010-02-27T19:18:00-07:00",
-          "2010-02-27T19:19:00-07:00",
-          "2010-02-27T19:20:00-07:00",
-          "2010-02-27T19:21:00-07:00",
-          "2010-02-27T19:22:00-07:00",
-          "2010-02-27T19:23:00-07:00",
-          "2010-02-27T19:24:00-07:00",
-          "2010-02-27T19:25:00-07:00",
-          "2010-02-27T19:26:00-07:00",
-          "2010-02-27T19:27:00-07:00",
-          "2010-02-27T19:28:00-07:00",
-          "2010-02-27T19:29:00-07:00",
-          "2010-02-27T19:30:00-07:00",
-          "2010-02-27T19:31:00-07:00",
-          "2010-02-27T19:32:00-07:00",
-          "2010-02-27T19:33:00-07:00",
-          "2010-02-27T19:34:00-07:00",
-          "2010-02-27T19:35:00-07:00",
-          "2010-02-27T19:36:00-07:00",
-          "2010-02-27T19:37:00-07:00",
-          "2010-02-27T19:38:00-07:00",
-          "2010-02-27T19:39:00-07:00",
-          "2010-02-27T19:40:00-07:00",
-          "2010-02-27T19:41:00-07:00",
-          "2010-02-27T19:42:00-07:00",
-          "2010-02-27T19:43:00-07:00",
-          "2010-02-27T19:44:00-07:00",
-          "2010-02-27T19:45:00-07:00",
-          "2010-02-27T19:46:00-07:00",
-          "2010-02-27T19:47:00-07:00",
-          "2010-02-27T19:48:00-07:00",
-          "2010-02-27T19:49:00-07:00",
-          "2010-02-27T19:50:00-07:00",
-          "2010-02-27T19:51:00-07:00",
-          "2010-02-27T19:52:00-07:00",
-          "2010-02-27T19:53:00-07:00",
-          "2010-02-27T19:54:00-07:00",
-          "2010-02-27T19:55:00-07:00",
-          "2010-02-27T19:56:00-07:00",
-          "2010-02-27T19:57:00-07:00",
-          "2010-02-27T19:58:00-07:00",
-          "2010-02-27T19:59:00-07:00",
-          "2010-02-27T20:00:00-07:00",
-          "2010-02-27T20:01:00-07:00",
-          "2010-02-27T20:02:00-07:00",
-          "2010-02-27T20:03:00-07:00",
-          "2010-02-27T20:04:00-07:00",
-          "2010-02-27T20:05:00-07:00",
-          "2010-02-27T20:06:00-07:00",
-          "2010-02-27T20:07:00-07:00",
-          "2010-02-27T20:08:00-07:00",
-          "2010-02-27T20:09:00-07:00",
-          "2010-02-27T20:10:00-07:00",
-          "2010-02-27T20:11:00-07:00",
-          "2010-02-27T20:12:00-07:00",
-          "2010-02-27T20:13:00-07:00",
-          "2010-02-27T20:14:00-07:00",
-          "2010-02-27T20:15:00-07:00",
-          "2010-02-27T20:16:00-07:00",
-          "2010-02-27T20:17:00-07:00",
-          "2010-02-27T20:18:00-07:00",
-          "2010-02-27T20:19:00-07:00",
-          "2010-02-27T20:20:00-07:00",
-          "2010-02-27T20:21:00-07:00",
-          "2010-02-27T20:22:00-07:00",
-          "2010-02-27T20:23:00-07:00",
-          "2010-02-27T20:24:00-07:00",
-          "2010-02-27T20:25:00-07:00",
-          "2010-02-27T20:26:00-07:00",
-          "2010-02-27T20:27:00-07:00",
-          "2010-02-27T20:28:00-07:00",
-          "2010-02-27T20:29:00-07:00",
-          "2010-02-27T20:30:00-07:00",
-          "2010-02-27T20:31:00-07:00",
-          "2010-02-27T20:32:00-07:00",
-          "2010-02-27T20:33:00-07:00",
-          "2010-02-27T20:34:00-07:00",
-          "2010-02-27T20:35:00-07:00",
-          "2010-02-27T20:36:00-07:00",
-          "2010-02-27T20:37:00-07:00",
-          "2010-02-27T20:38:00-07:00",
-          "2010-02-27T20:39:00-07:00",
-          "2010-02-27T20:40:00-07:00",
-          "2010-02-27T20:41:00-07:00",
-          "2010-02-27T20:42:00-07:00",
-          "2010-02-27T20:43:00-07:00",
-          "2010-02-27T20:44:00-07:00",
-          "2010-02-27T20:45:00-07:00",
-          "2010-02-27T20:46:00-07:00",
-          "2010-02-27T20:47:00-07:00",
-          "2010-02-27T20:48:00-07:00",
-          "2010-02-27T20:49:00-07:00",
-          "2010-02-27T20:50:00-07:00",
-          "2010-02-27T20:51:00-07:00",
-          "2010-02-27T20:52:00-07:00",
-          "2010-02-27T20:53:00-07:00",
-          "2010-02-27T20:54:00-07:00",
-          "2010-02-27T20:55:00-07:00",
-          "2010-02-27T20:56:00-07:00",
-          "2010-02-27T20:57:00-07:00",
-          "2010-02-27T20:58:00-07:00",
-          "2010-02-27T20:59:00-07:00",
-          "2010-02-27T21:00:00-07:00",
-          "2010-02-27T21:01:00-07:00",
-          "2010-02-27T21:02:00-07:00",
-          "2010-02-27T21:03:00-07:00",
-          "2010-02-27T21:04:00-07:00",
-          "2010-02-27T21:05:00-07:00",
-          "2010-02-27T21:06:00-07:00",
-          "2010-02-27T21:07:00-07:00",
-          "2010-02-27T21:08:00-07:00",
-          "2010-02-27T21:09:00-07:00",
-          "2010-02-27T21:10:00-07:00",
-          "2010-02-27T21:11:00-07:00",
-          "2010-02-27T21:12:00-07:00",
-          "2010-02-27T21:13:00-07:00",
-          "2010-02-27T21:14:00-07:00",
-          "2010-02-27T21:15:00-07:00",
-          "2010-02-27T21:16:00-07:00",
-          "2010-02-27T21:17:00-07:00",
-          "2010-02-27T21:18:00-07:00",
-          "2010-02-27T21:19:00-07:00",
-          "2010-02-27T21:20:00-07:00",
-          "2010-02-27T21:21:00-07:00",
-          "2010-02-27T21:22:00-07:00",
-          "2010-02-27T21:23:00-07:00",
-          "2010-02-27T21:24:00-07:00",
-          "2010-02-27T21:25:00-07:00",
-          "2010-02-27T21:26:00-07:00",
-          "2010-02-27T21:27:00-07:00",
-          "2010-02-27T21:28:00-07:00",
-          "2010-02-27T21:29:00-07:00",
-          "2010-02-27T21:30:00-07:00",
-          "2010-02-27T21:31:00-07:00",
-          "2010-02-27T21:32:00-07:00",
-          "2010-02-27T21:33:00-07:00",
-          "2010-02-27T21:34:00-07:00",
-          "2010-02-27T21:35:00-07:00",
-          "2010-02-27T21:36:00-07:00",
-          "2010-02-27T21:37:00-07:00",
-          "2010-02-27T21:38:00-07:00",
-          "2010-02-27T21:39:00-07:00",
-          "2010-02-27T21:40:00-07:00",
-          "2010-02-27T21:41:00-07:00",
-          "2010-02-27T21:42:00-07:00",
-          "2010-02-27T21:43:00-07:00",
-          "2010-02-27T21:44:00-07:00",
-          "2010-02-27T21:45:00-07:00",
-          "2010-02-27T21:46:00-07:00",
-          "2010-02-27T21:47:00-07:00",
-          "2010-02-27T21:48:00-07:00",
-          "2010-02-27T21:49:00-07:00",
-          "2010-02-27T21:50:00-07:00",
-          "2010-02-27T21:51:00-07:00",
-          "2010-02-27T21:52:00-07:00",
-          "2010-02-27T21:53:00-07:00",
-          "2010-02-27T21:54:00-07:00",
-          "2010-02-27T21:55:00-07:00",
-          "2010-02-27T21:56:00-07:00",
-          "2010-02-27T21:57:00-07:00",
-          "2010-02-27T21:58:00-07:00",
-          "2010-02-27T21:59:00-07:00",
-          "2010-02-27T22:00:00-07:00",
-          "2010-02-27T22:01:00-07:00",
-          "2010-02-27T22:02:00-07:00",
-          "2010-02-27T22:03:00-07:00",
-          "2010-02-27T22:04:00-07:00",
-          "2010-02-27T22:05:00-07:00",
-          "2010-02-27T22:06:00-07:00",
-          "2010-02-27T22:07:00-07:00",
-          "2010-02-27T22:08:00-07:00",
-          "2010-02-27T22:09:00-07:00",
-          "2010-02-27T22:10:00-07:00",
-          "2010-02-27T22:11:00-07:00",
-          "2010-02-27T22:12:00-07:00",
-          "2010-02-27T22:13:00-07:00",
-          "2010-02-27T22:14:00-07:00",
-          "2010-02-27T22:15:00-07:00",
-          "2010-02-27T22:16:00-07:00",
-          "2010-02-27T22:17:00-07:00",
-          "2010-02-27T22:18:00-07:00",
-          "2010-02-27T22:19:00-07:00",
-          "2010-02-27T22:20:00-07:00",
-          "2010-02-27T22:21:00-07:00",
-          "2010-02-27T22:22:00-07:00",
-          "2010-02-27T22:23:00-07:00",
-          "2010-02-27T22:24:00-07:00",
-          "2010-02-27T22:25:00-07:00",
-          "2010-02-27T22:26:00-07:00",
-          "2010-02-27T22:27:00-07:00",
-          "2010-02-27T22:28:00-07:00",
-          "2010-02-27T22:29:00-07:00",
-          "2010-02-27T22:30:00-07:00",
-          "2010-02-27T22:31:00-07:00",
-          "2010-02-27T22:32:00-07:00",
-          "2010-02-27T22:33:00-07:00",
-          "2010-02-27T22:34:00-07:00",
-          "2010-02-27T22:35:00-07:00",
-          "2010-02-27T22:36:00-07:00",
-          "2010-02-27T22:37:00-07:00",
-          "2010-02-27T22:38:00-07:00",
-          "2010-02-27T22:39:00-07:00",
-          "2010-02-27T22:40:00-07:00",
-          "2010-02-27T22:41:00-07:00",
-          "2010-02-27T22:42:00-07:00",
-          "2010-02-27T22:43:00-07:00",
-          "2010-02-27T22:44:00-07:00",
-          "2010-02-27T22:45:00-07:00",
-          "2010-02-27T22:46:00-07:00",
-          "2010-02-27T22:47:00-07:00",
-          "2010-02-27T22:48:00-07:00",
-          "2010-02-27T22:49:00-07:00",
-          "2010-02-27T22:50:00-07:00",
-          "2010-02-27T22:51:00-07:00",
-          "2010-02-27T22:52:00-07:00",
-          "2010-02-27T22:53:00-07:00",
-          "2010-02-27T22:54:00-07:00",
-          "2010-02-27T22:55:00-07:00",
-          "2010-02-27T22:56:00-07:00",
-          "2010-02-27T22:57:00-07:00",
-          "2010-02-27T22:58:00-07:00",
-          "2010-02-27T22:59:00-07:00",
-          "2010-02-27T23:00:00-07:00",
-          "2010-02-27T23:01:00-07:00",
-          "2010-02-27T23:02:00-07:00",
-          "2010-02-27T23:03:00-07:00",
-          "2010-02-27T23:04:00-07:00",
-          "2010-02-27T23:05:00-07:00",
-          "2010-02-27T23:06:00-07:00",
-          "2010-02-27T23:07:00-07:00",
-          "2010-02-27T23:08:00-07:00",
-          "2010-02-27T23:09:00-07:00",
-          "2010-02-27T23:10:00-07:00",
-          "2010-02-27T23:11:00-07:00",
-          "2010-02-27T23:12:00-07:00",
-          "2010-02-27T23:13:00-07:00",
-          "2010-02-27T23:14:00-07:00",
-          "2010-02-27T23:15:00-07:00",
-          "2010-02-27T23:16:00-07:00",
-          "2010-02-27T23:17:00-07:00",
-          "2010-02-27T23:18:00-07:00",
-          "2010-02-27T23:19:00-07:00",
-          "2010-02-27T23:20:00-07:00",
-          "2010-02-27T23:21:00-07:00",
-          "2010-02-27T23:22:00-07:00",
-          "2010-02-27T23:23:00-07:00",
-          "2010-02-27T23:24:00-07:00",
-          "2010-02-27T23:25:00-07:00",
-          "2010-02-27T23:26:00-07:00",
-          "2010-02-27T23:27:00-07:00",
-          "2010-02-27T23:28:00-07:00",
-          "2010-02-27T23:29:00-07:00",
-          "2010-02-27T23:30:00-07:00",
-          "2010-02-27T23:31:00-07:00",
-          "2010-02-27T23:32:00-07:00",
-          "2010-02-27T23:33:00-07:00",
-          "2010-02-27T23:34:00-07:00",
-          "2010-02-27T23:35:00-07:00",
-          "2010-02-27T23:36:00-07:00",
-          "2010-02-27T23:37:00-07:00",
-          "2010-02-27T23:38:00-07:00",
-          "2010-02-27T23:39:00-07:00",
-          "2010-02-27T23:40:00-07:00",
-          "2010-02-27T23:41:00-07:00",
-          "2010-02-27T23:42:00-07:00",
-          "2010-02-27T23:43:00-07:00",
-          "2010-02-27T23:44:00-07:00",
-          "2010-02-27T23:45:00-07:00",
-          "2010-02-27T23:46:00-07:00",
-          "2010-02-27T23:47:00-07:00",
-          "2010-02-27T23:48:00-07:00",
-          "2010-02-27T23:49:00-07:00",
-          "2010-02-27T23:50:00-07:00",
-          "2010-02-27T23:51:00-07:00",
-          "2010-02-27T23:52:00-07:00",
-          "2010-02-27T23:53:00-07:00",
-          "2010-02-27T23:54:00-07:00",
-          "2010-02-27T23:55:00-07:00",
-          "2010-02-27T23:56:00-07:00",
-          "2010-02-27T23:57:00-07:00",
-          "2010-02-27T23:58:00-07:00",
-          "2010-02-27T23:59:00-07:00",
-          "2010-02-28T00:00:00-07:00",
-          "2010-02-28T00:01:00-07:00",
-          "2010-02-28T00:02:00-07:00",
-          "2010-02-28T00:03:00-07:00",
-          "2010-02-28T00:04:00-07:00",
-          "2010-02-28T00:05:00-07:00",
-          "2010-02-28T00:06:00-07:00",
-          "2010-02-28T00:07:00-07:00",
-          "2010-02-28T00:08:00-07:00",
-          "2010-02-28T00:09:00-07:00",
-          "2010-02-28T00:10:00-07:00",
-          "2010-02-28T00:11:00-07:00",
-          "2010-02-28T00:12:00-07:00",
-          "2010-02-28T00:13:00-07:00",
-          "2010-02-28T00:14:00-07:00",
-          "2010-02-28T00:15:00-07:00",
-          "2010-02-28T00:16:00-07:00",
-          "2010-02-28T00:17:00-07:00",
-          "2010-02-28T00:18:00-07:00",
-          "2010-02-28T00:19:00-07:00",
-          "2010-02-28T00:20:00-07:00",
-          "2010-02-28T00:21:00-07:00",
-          "2010-02-28T00:22:00-07:00",
-          "2010-02-28T00:23:00-07:00",
-          "2010-02-28T00:24:00-07:00",
-          "2010-02-28T00:25:00-07:00",
-          "2010-02-28T00:26:00-07:00",
-          "2010-02-28T00:27:00-07:00",
-          "2010-02-28T00:28:00-07:00",
-          "2010-02-28T00:29:00-07:00",
-          "2010-02-28T00:30:00-07:00",
-          "2010-02-28T00:31:00-07:00",
-          "2010-02-28T00:32:00-07:00",
-          "2010-02-28T00:33:00-07:00",
-          "2010-02-28T00:34:00-07:00",
-          "2010-02-28T00:35:00-07:00",
-          "2010-02-28T00:36:00-07:00",
-          "2010-02-28T00:37:00-07:00",
-          "2010-02-28T00:38:00-07:00",
-          "2010-02-28T00:39:00-07:00",
-          "2010-02-28T00:40:00-07:00",
-          "2010-02-28T00:41:00-07:00",
-          "2010-02-28T00:42:00-07:00",
-          "2010-02-28T00:43:00-07:00",
-          "2010-02-28T00:44:00-07:00",
-          "2010-02-28T00:45:00-07:00",
-          "2010-02-28T00:46:00-07:00",
-          "2010-02-28T00:47:00-07:00",
-          "2010-02-28T00:48:00-07:00",
-          "2010-02-28T00:49:00-07:00",
-          "2010-02-28T00:50:00-07:00",
-          "2010-02-28T00:51:00-07:00",
-          "2010-02-28T00:52:00-07:00",
-          "2010-02-28T00:53:00-07:00",
-          "2010-02-28T00:54:00-07:00",
-          "2010-02-28T00:55:00-07:00",
-          "2010-02-28T00:56:00-07:00",
-          "2010-02-28T00:57:00-07:00",
-          "2010-02-28T00:58:00-07:00",
-          "2010-02-28T00:59:00-07:00",
-          "2010-02-28T01:00:00-07:00",
-          "2010-02-28T01:01:00-07:00",
-          "2010-02-28T01:02:00-07:00",
-          "2010-02-28T01:03:00-07:00",
-          "2010-02-28T01:04:00-07:00",
-          "2010-02-28T01:05:00-07:00",
-          "2010-02-28T01:06:00-07:00",
-          "2010-02-28T01:07:00-07:00",
-          "2010-02-28T01:08:00-07:00",
-          "2010-02-28T01:09:00-07:00",
-          "2010-02-28T01:10:00-07:00",
-          "2010-02-28T01:11:00-07:00",
-          "2010-02-28T01:12:00-07:00",
-          "2010-02-28T01:13:00-07:00",
-          "2010-02-28T01:14:00-07:00",
-          "2010-02-28T01:15:00-07:00",
-          "2010-02-28T01:16:00-07:00",
-          "2010-02-28T01:17:00-07:00",
-          "2010-02-28T01:18:00-07:00",
-          "2010-02-28T01:19:00-07:00",
-          "2010-02-28T01:20:00-07:00",
-          "2010-02-28T01:21:00-07:00",
-          "2010-02-28T01:22:00-07:00",
-          "2010-02-28T01:23:00-07:00",
-          "2010-02-28T01:24:00-07:00",
-          "2010-02-28T01:25:00-07:00",
-          "2010-02-28T01:26:00-07:00",
-          "2010-02-28T01:27:00-07:00",
-          "2010-02-28T01:28:00-07:00",
-          "2010-02-28T01:29:00-07:00",
-          "2010-02-28T01:30:00-07:00",
-          "2010-02-28T01:31:00-07:00",
-          "2010-02-28T01:32:00-07:00",
-          "2010-02-28T01:33:00-07:00",
-          "2010-02-28T01:34:00-07:00",
-          "2010-02-28T01:35:00-07:00",
-          "2010-02-28T01:36:00-07:00",
-          "2010-02-28T01:37:00-07:00",
-          "2010-02-28T01:38:00-07:00",
-          "2010-02-28T01:39:00-07:00",
-          "2010-02-28T01:40:00-07:00",
-          "2010-02-28T01:41:00-07:00",
-          "2010-02-28T01:42:00-07:00",
-          "2010-02-28T01:43:00-07:00",
-          "2010-02-28T01:44:00-07:00",
-          "2010-02-28T01:45:00-07:00",
-          "2010-02-28T01:46:00-07:00",
-          "2010-02-28T01:47:00-07:00",
-          "2010-02-28T01:48:00-07:00",
-          "2010-02-28T01:49:00-07:00",
-          "2010-02-28T01:50:00-07:00",
-          "2010-02-28T01:51:00-07:00",
-          "2010-02-28T01:52:00-07:00",
-          "2010-02-28T01:53:00-07:00",
-          "2010-02-28T01:54:00-07:00",
-          "2010-02-28T01:55:00-07:00",
-          "2010-02-28T01:56:00-07:00",
-          "2010-02-28T01:57:00-07:00",
-          "2010-02-28T01:58:00-07:00",
-          "2010-02-28T01:59:00-07:00",
-          "2010-02-28T02:00:00-07:00",
-          "2010-02-28T02:01:00-07:00",
-          "2010-02-28T02:02:00-07:00",
-          "2010-02-28T02:03:00-07:00",
-          "2010-02-28T02:04:00-07:00",
-          "2010-02-28T02:05:00-07:00",
-          "2010-02-28T02:06:00-07:00",
-          "2010-02-28T02:07:00-07:00",
-          "2010-02-28T02:08:00-07:00",
-          "2010-02-28T02:09:00-07:00",
-          "2010-02-28T02:10:00-07:00",
-          "2010-02-28T02:11:00-07:00",
-          "2010-02-28T02:12:00-07:00",
-          "2010-02-28T02:13:00-07:00",
-          "2010-02-28T02:14:00-07:00",
-          "2010-02-28T02:15:00-07:00",
-          "2010-02-28T02:16:00-07:00",
-          "2010-02-28T02:17:00-07:00",
-          "2010-02-28T02:18:00-07:00",
-          "2010-02-28T02:19:00-07:00",
-          "2010-02-28T02:20:00-07:00",
-          "2010-02-28T02:21:00-07:00",
-          "2010-02-28T02:22:00-07:00",
-          "2010-02-28T02:23:00-07:00",
-          "2010-02-28T02:24:00-07:00",
-          "2010-02-28T02:25:00-07:00",
-          "2010-02-28T02:26:00-07:00",
-          "2010-02-28T02:27:00-07:00",
-          "2010-02-28T02:28:00-07:00",
-          "2010-02-28T02:29:00-07:00",
-          "2010-02-28T02:30:00-07:00",
-          "2010-02-28T02:31:00-07:00",
-          "2010-02-28T02:32:00-07:00",
-          "2010-02-28T02:33:00-07:00",
-          "2010-02-28T02:34:00-07:00",
-          "2010-02-28T02:35:00-07:00",
-          "2010-02-28T02:36:00-07:00",
-          "2010-02-28T02:37:00-07:00",
-          "2010-02-28T02:38:00-07:00",
-          "2010-02-28T02:39:00-07:00",
-          "2010-02-28T02:40:00-07:00",
-          "2010-02-28T02:41:00-07:00",
-          "2010-02-28T02:42:00-07:00",
-          "2010-02-28T02:43:00-07:00",
-          "2010-02-28T02:44:00-07:00",
-          "2010-02-28T02:45:00-07:00",
-          "2010-02-28T02:46:00-07:00",
-          "2010-02-28T02:47:00-07:00",
-          "2010-02-28T02:48:00-07:00",
-          "2010-02-28T02:49:00-07:00",
-          "2010-02-28T02:50:00-07:00",
-          "2010-02-28T02:51:00-07:00",
-          "2010-02-28T02:52:00-07:00",
-          "2010-02-28T02:53:00-07:00",
-          "2010-02-28T02:54:00-07:00",
-          "2010-02-28T02:55:00-07:00",
-          "2010-02-28T02:56:00-07:00",
-          "2010-02-28T02:57:00-07:00",
-          "2010-02-28T02:58:00-07:00",
-          "2010-02-28T02:59:00-07:00",
-          "2010-02-28T03:00:00-07:00",
-          "2010-02-28T03:01:00-07:00",
-          "2010-02-28T03:02:00-07:00",
-          "2010-02-28T03:03:00-07:00",
-          "2010-02-28T03:04:00-07:00",
-          "2010-02-28T03:05:00-07:00",
-          "2010-02-28T03:06:00-07:00",
-          "2010-02-28T03:07:00-07:00",
-          "2010-02-28T03:08:00-07:00",
-          "2010-02-28T03:09:00-07:00",
-          "2010-02-28T03:10:00-07:00",
-          "2010-02-28T03:11:00-07:00",
-          "2010-02-28T03:12:00-07:00",
-          "2010-02-28T03:13:00-07:00",
-          "2010-02-28T03:14:00-07:00",
-          "2010-02-28T03:15:00-07:00",
-          "2010-02-28T03:16:00-07:00",
-          "2010-02-28T03:17:00-07:00",
-          "2010-02-28T03:18:00-07:00",
-          "2010-02-28T03:19:00-07:00",
-          "2010-02-28T03:20:00-07:00",
-          "2010-02-28T03:21:00-07:00",
-          "2010-02-28T03:22:00-07:00",
-          "2010-02-28T03:23:00-07:00",
-          "2010-02-28T03:24:00-07:00",
-          "2010-02-28T03:25:00-07:00",
-          "2010-02-28T03:26:00-07:00",
-          "2010-02-28T03:27:00-07:00",
-          "2010-02-28T03:28:00-07:00",
-          "2010-02-28T03:29:00-07:00",
-          "2010-02-28T03:30:00-07:00",
-          "2010-02-28T03:31:00-07:00",
-          "2010-02-28T03:32:00-07:00",
-          "2010-02-28T03:33:00-07:00",
-          "2010-02-28T03:34:00-07:00",
-          "2010-02-28T03:35:00-07:00",
-          "2010-02-28T03:36:00-07:00",
-          "2010-02-28T03:37:00-07:00",
-          "2010-02-28T03:38:00-07:00",
-          "2010-02-28T03:39:00-07:00",
-          "2010-02-28T03:40:00-07:00",
-          "2010-02-28T03:41:00-07:00",
-          "2010-02-28T03:42:00-07:00",
-          "2010-02-28T03:43:00-07:00",
-          "2010-02-28T03:44:00-07:00",
-          "2010-02-28T03:45:00-07:00",
-          "2010-02-28T03:46:00-07:00",
-          "2010-02-28T03:47:00-07:00",
-          "2010-02-28T03:48:00-07:00",
-          "2010-02-28T03:49:00-07:00",
-          "2010-02-28T03:50:00-07:00",
-          "2010-02-28T03:51:00-07:00",
-          "2010-02-28T03:52:00-07:00",
-          "2010-02-28T03:53:00-07:00",
-          "2010-02-28T03:54:00-07:00",
-          "2010-02-28T03:55:00-07:00",
-          "2010-02-28T03:56:00-07:00",
-          "2010-02-28T03:57:00-07:00",
-          "2010-02-28T03:58:00-07:00",
-          "2010-02-28T03:59:00-07:00",
-          "2010-02-28T04:00:00-07:00",
-          "2010-02-28T04:01:00-07:00",
-          "2010-02-28T04:02:00-07:00",
-          "2010-02-28T04:03:00-07:00",
-          "2010-02-28T04:04:00-07:00",
-          "2010-02-28T04:05:00-07:00",
-          "2010-02-28T04:06:00-07:00",
-          "2010-02-28T04:07:00-07:00",
-          "2010-02-28T04:08:00-07:00",
-          "2010-02-28T04:09:00-07:00",
-          "2010-02-28T04:10:00-07:00",
-          "2010-02-28T04:11:00-07:00",
-          "2010-02-28T04:12:00-07:00",
-          "2010-02-28T04:13:00-07:00",
-          "2010-02-28T04:14:00-07:00",
-          "2010-02-28T04:15:00-07:00",
-          "2010-02-28T04:16:00-07:00",
-          "2010-02-28T04:17:00-07:00",
-          "2010-02-28T04:18:00-07:00",
-          "2010-02-28T04:19:00-07:00",
-          "2010-02-28T04:20:00-07:00",
-          "2010-02-28T04:21:00-07:00",
-          "2010-02-28T04:22:00-07:00",
-          "2010-02-28T04:23:00-07:00",
-          "2010-02-28T04:24:00-07:00",
-          "2010-02-28T04:25:00-07:00",
-          "2010-02-28T04:26:00-07:00",
-          "2010-02-28T04:27:00-07:00",
-          "2010-02-28T04:28:00-07:00",
-          "2010-02-28T04:29:00-07:00",
-          "2010-02-28T04:30:00-07:00",
-          "2010-02-28T04:31:00-07:00",
-          "2010-02-28T04:32:00-07:00",
-          "2010-02-28T04:33:00-07:00",
-          "2010-02-28T04:34:00-07:00",
-          "2010-02-28T04:35:00-07:00",
-          "2010-02-28T04:36:00-07:00",
-          "2010-02-28T04:37:00-07:00",
-          "2010-02-28T04:38:00-07:00",
-          "2010-02-28T04:39:00-07:00",
-          "2010-02-28T04:40:00-07:00",
-          "2010-02-28T04:41:00-07:00",
-          "2010-02-28T04:42:00-07:00",
-          "2010-02-28T04:43:00-07:00",
-          "2010-02-28T04:44:00-07:00",
-          "2010-02-28T04:45:00-07:00",
-          "2010-02-28T04:46:00-07:00",
-          "2010-02-28T04:47:00-07:00",
-          "2010-02-28T04:48:00-07:00",
-          "2010-02-28T04:49:00-07:00",
-          "2010-02-28T04:50:00-07:00",
-          "2010-02-28T04:51:00-07:00",
-          "2010-02-28T04:52:00-07:00",
-          "2010-02-28T04:53:00-07:00",
-          "2010-02-28T04:54:00-07:00",
-          "2010-02-28T04:55:00-07:00",
-          "2010-02-28T04:56:00-07:00",
-          "2010-02-28T04:57:00-07:00",
-          "2010-02-28T04:58:00-07:00",
-          "2010-02-28T04:59:00-07:00",
-          "2010-02-28T05:00:00-07:00",
-          "2010-02-28T05:01:00-07:00",
-          "2010-02-28T05:02:00-07:00",
-          "2010-02-28T05:03:00-07:00",
-          "2010-02-28T05:04:00-07:00",
-          "2010-02-28T05:05:00-07:00",
-          "2010-02-28T05:06:00-07:00",
-          "2010-02-28T05:07:00-07:00",
-          "2010-02-28T05:08:00-07:00",
-          "2010-02-28T05:09:00-07:00",
-          "2010-02-28T05:10:00-07:00",
-          "2010-02-28T05:11:00-07:00",
-          "2010-02-28T05:12:00-07:00",
-          "2010-02-28T05:13:00-07:00",
-          "2010-02-28T05:14:00-07:00",
-          "2010-02-28T05:15:00-07:00",
-          "2010-02-28T05:16:00-07:00",
-          "2010-02-28T05:17:00-07:00",
-          "2010-02-28T05:18:00-07:00",
-          "2010-02-28T05:19:00-07:00",
-          "2010-02-28T05:20:00-07:00",
-          "2010-02-28T05:21:00-07:00",
-          "2010-02-28T05:22:00-07:00",
-          "2010-02-28T05:23:00-07:00",
-          "2010-02-28T05:24:00-07:00",
-          "2010-02-28T05:25:00-07:00",
-          "2010-02-28T05:26:00-07:00",
-          "2010-02-28T05:27:00-07:00",
-          "2010-02-28T05:28:00-07:00",
-          "2010-02-28T05:29:00-07:00",
-          "2010-02-28T05:30:00-07:00",
-          "2010-02-28T05:31:00-07:00",
-          "2010-02-28T05:32:00-07:00",
-          "2010-02-28T05:33:00-07:00",
-          "2010-02-28T05:34:00-07:00",
-          "2010-02-28T05:35:00-07:00",
-          "2010-02-28T05:36:00-07:00",
-          "2010-02-28T05:37:00-07:00",
-          "2010-02-28T05:38:00-07:00",
-          "2010-02-28T05:39:00-07:00",
-          "2010-02-28T05:40:00-07:00",
-          "2010-02-28T05:41:00-07:00",
-          "2010-02-28T05:42:00-07:00",
-          "2010-02-28T05:43:00-07:00",
-          "2010-02-28T05:44:00-07:00",
-          "2010-02-28T05:45:00-07:00",
-          "2010-02-28T05:46:00-07:00",
-          "2010-02-28T05:47:00-07:00",
-          "2010-02-28T05:48:00-07:00",
-          "2010-02-28T05:49:00-07:00",
-          "2010-02-28T05:50:00-07:00",
-          "2010-02-28T05:51:00-07:00",
-          "2010-02-28T05:52:00-07:00",
-          "2010-02-28T05:53:00-07:00",
-          "2010-02-28T05:54:00-07:00",
-          "2010-02-28T05:55:00-07:00",
-          "2010-02-28T05:56:00-07:00",
-          "2010-02-28T05:57:00-07:00",
-          "2010-02-28T05:58:00-07:00",
-          "2010-02-28T05:59:00-07:00",
-          "2010-02-28T06:00:00-07:00",
-          "2010-02-28T06:01:00-07:00",
-          "2010-02-28T06:02:00-07:00",
-          "2010-02-28T06:03:00-07:00",
-          "2010-02-28T06:04:00-07:00",
-          "2010-02-28T06:05:00-07:00",
-          "2010-02-28T06:06:00-07:00",
-          "2010-02-28T06:07:00-07:00",
-          "2010-02-28T06:08:00-07:00",
-          "2010-02-28T06:09:00-07:00",
-          "2010-02-28T06:10:00-07:00",
-          "2010-02-28T06:11:00-07:00",
-          "2010-02-28T06:12:00-07:00",
-          "2010-02-28T06:13:00-07:00",
-          "2010-02-28T06:14:00-07:00",
-          "2010-02-28T06:15:00-07:00",
-          "2010-02-28T06:16:00-07:00",
-          "2010-02-28T06:17:00-07:00",
-          "2010-02-28T06:18:00-07:00",
-          "2010-02-28T06:19:00-07:00",
-          "2010-02-28T06:20:00-07:00",
-          "2010-02-28T06:21:00-07:00",
-          "2010-02-28T06:22:00-07:00",
-          "2010-02-28T06:23:00-07:00",
-          "2010-02-28T06:24:00-07:00",
-          "2010-02-28T06:25:00-07:00",
-          "2010-02-28T06:26:00-07:00",
-          "2010-02-28T06:27:00-07:00",
-          "2010-02-28T06:28:00-07:00",
-          "2010-02-28T06:29:00-07:00",
-          "2010-02-28T06:30:00-07:00",
-          "2010-02-28T06:31:00-07:00",
-          "2010-02-28T06:32:00-07:00",
-          "2010-02-28T06:33:00-07:00",
-          "2010-02-28T06:34:00-07:00",
-          "2010-02-28T06:35:00-07:00",
-          "2010-02-28T06:36:00-07:00",
-          "2010-02-28T06:37:00-07:00",
-          "2010-02-28T06:38:00-07:00",
-          "2010-02-28T06:39:00-07:00",
-          "2010-02-28T06:40:00-07:00",
-          "2010-02-28T06:41:00-07:00",
-          "2010-02-28T06:42:00-07:00",
-          "2010-02-28T06:43:00-07:00",
-          "2010-02-28T06:44:00-07:00",
-          "2010-02-28T06:45:00-07:00",
-          "2010-02-28T06:46:00-07:00",
-          "2010-02-28T06:47:00-07:00",
-          "2010-02-28T06:48:00-07:00",
-          "2010-02-28T06:49:00-07:00",
-          "2010-02-28T06:50:00-07:00",
-          "2010-02-28T06:51:00-07:00",
-          "2010-02-28T06:52:00-07:00",
-          "2010-02-28T06:53:00-07:00",
-          "2010-02-28T06:54:00-07:00",
-          "2010-02-28T06:55:00-07:00",
-          "2010-02-28T06:56:00-07:00",
-          "2010-02-28T06:57:00-07:00",
-          "2010-02-28T06:58:00-07:00",
-          "2010-02-28T06:59:00-07:00",
-          "2010-02-28T07:00:00-07:00",
-          "2010-02-28T07:01:00-07:00",
-          "2010-02-28T07:02:00-07:00",
-          "2010-02-28T07:03:00-07:00",
-          "2010-02-28T07:04:00-07:00",
-          "2010-02-28T07:05:00-07:00",
-          "2010-02-28T07:06:00-07:00",
-          "2010-02-28T07:07:00-07:00",
-          "2010-02-28T07:08:00-07:00",
-          "2010-02-28T07:09:00-07:00",
-          "2010-02-28T07:10:00-07:00",
-          "2010-02-28T07:11:00-07:00",
-          "2010-02-28T07:12:00-07:00",
-          "2010-02-28T07:13:00-07:00",
-          "2010-02-28T07:14:00-07:00",
-          "2010-02-28T07:15:00-07:00",
-          "2010-02-28T07:16:00-07:00",
-          "2010-02-28T07:17:00-07:00",
-          "2010-02-28T07:18:00-07:00",
-          "2010-02-28T07:19:00-07:00",
-          "2010-02-28T07:20:00-07:00",
-          "2010-02-28T07:21:00-07:00",
-          "2010-02-28T07:22:00-07:00",
-          "2010-02-28T07:23:00-07:00",
-          "2010-02-28T07:24:00-07:00",
-          "2010-02-28T07:25:00-07:00",
-          "2010-02-28T07:26:00-07:00",
-          "2010-02-28T07:27:00-07:00",
-          "2010-02-28T07:28:00-07:00",
-          "2010-02-28T07:29:00-07:00",
-          "2010-02-28T07:30:00-07:00",
-          "2010-02-28T07:31:00-07:00",
-          "2010-02-28T07:32:00-07:00",
-          "2010-02-28T07:33:00-07:00",
-          "2010-02-28T07:34:00-07:00",
-          "2010-02-28T07:35:00-07:00",
-          "2010-02-28T07:36:00-07:00",
-          "2010-02-28T07:37:00-07:00",
-          "2010-02-28T07:38:00-07:00",
-          "2010-02-28T07:39:00-07:00",
-          "2010-02-28T07:40:00-07:00",
-          "2010-02-28T07:41:00-07:00",
-          "2010-02-28T07:42:00-07:00",
-          "2010-02-28T07:43:00-07:00",
-          "2010-02-28T07:44:00-07:00",
-          "2010-02-28T07:45:00-07:00",
-          "2010-02-28T07:46:00-07:00",
-          "2010-02-28T07:47:00-07:00",
-          "2010-02-28T07:48:00-07:00",
-          "2010-02-28T07:49:00-07:00",
-          "2010-02-28T07:50:00-07:00",
-          "2010-02-28T07:51:00-07:00",
-          "2010-02-28T07:52:00-07:00",
-          "2010-02-28T07:53:00-07:00",
-          "2010-02-28T07:54:00-07:00",
-          "2010-02-28T07:55:00-07:00",
-          "2010-02-28T07:56:00-07:00",
-          "2010-02-28T07:57:00-07:00",
-          "2010-02-28T07:58:00-07:00",
-          "2010-02-28T07:59:00-07:00",
-          "2010-02-28T08:00:00-07:00",
-          "2010-02-28T08:01:00-07:00",
-          "2010-02-28T08:02:00-07:00",
-          "2010-02-28T08:03:00-07:00",
-          "2010-02-28T08:04:00-07:00",
-          "2010-02-28T08:05:00-07:00",
-          "2010-02-28T08:06:00-07:00",
-          "2010-02-28T08:07:00-07:00",
-          "2010-02-28T08:08:00-07:00",
-          "2010-02-28T08:09:00-07:00",
-          "2010-02-28T08:10:00-07:00",
-          "2010-02-28T08:11:00-07:00",
-          "2010-02-28T08:12:00-07:00",
-          "2010-02-28T08:13:00-07:00",
-          "2010-02-28T08:14:00-07:00",
-          "2010-02-28T08:15:00-07:00",
-          "2010-02-28T08:16:00-07:00",
-          "2010-02-28T08:17:00-07:00",
-          "2010-02-28T08:18:00-07:00",
-          "2010-02-28T08:19:00-07:00",
-          "2010-02-28T08:20:00-07:00",
-          "2010-02-28T08:21:00-07:00",
-          "2010-02-28T08:22:00-07:00",
-          "2010-02-28T08:23:00-07:00",
-          "2010-02-28T08:24:00-07:00",
-          "2010-02-28T08:25:00-07:00",
-          "2010-02-28T08:26:00-07:00",
-          "2010-02-28T08:27:00-07:00",
-          "2010-02-28T08:28:00-07:00",
-          "2010-02-28T08:29:00-07:00",
-          "2010-02-28T08:30:00-07:00",
-          "2010-02-28T08:31:00-07:00",
-          "2010-02-28T08:32:00-07:00",
-          "2010-02-28T08:33:00-07:00",
-          "2010-02-28T08:34:00-07:00",
-          "2010-02-28T08:35:00-07:00",
-          "2010-02-28T08:36:00-07:00",
-          "2010-02-28T08:37:00-07:00",
-          "2010-02-28T08:38:00-07:00",
-          "2010-02-28T08:39:00-07:00",
-          "2010-02-28T08:40:00-07:00",
-          "2010-02-28T08:41:00-07:00",
-          "2010-02-28T08:42:00-07:00",
-          "2010-02-28T08:43:00-07:00",
-          "2010-02-28T08:44:00-07:00",
-          "2010-02-28T08:45:00-07:00",
-          "2010-02-28T08:46:00-07:00",
-          "2010-02-28T08:47:00-07:00",
-          "2010-02-28T08:48:00-07:00",
-          "2010-02-28T08:49:00-07:00",
-          "2010-02-28T08:50:00-07:00",
-          "2010-02-28T08:51:00-07:00",
-          "2010-02-28T08:52:00-07:00",
-          "2010-02-28T08:53:00-07:00",
-          "2010-02-28T08:54:00-07:00",
-          "2010-02-28T08:55:00-07:00",
-          "2010-02-28T08:56:00-07:00",
-          "2010-02-28T08:57:00-07:00",
-          "2010-02-28T08:58:00-07:00",
-          "2010-02-28T08:59:00-07:00",
-          "2010-02-28T09:00:00-07:00",
-          "2010-02-28T09:01:00-07:00",
-          "2010-02-28T09:02:00-07:00",
-          "2010-02-28T09:03:00-07:00",
-          "2010-02-28T09:04:00-07:00",
-          "2010-02-28T09:05:00-07:00",
-          "2010-02-28T09:06:00-07:00",
-          "2010-02-28T09:07:00-07:00",
-          "2010-02-28T09:08:00-07:00",
-          "2010-02-28T09:09:00-07:00",
-          "2010-02-28T09:10:00-07:00",
-          "2010-02-28T09:11:00-07:00",
-          "2010-02-28T09:12:00-07:00",
-          "2010-02-28T09:13:00-07:00",
-          "2010-02-28T09:14:00-07:00",
-          "2010-02-28T09:15:00-07:00",
-          "2010-02-28T09:16:00-07:00",
-          "2010-02-28T09:17:00-07:00",
-          "2010-02-28T09:18:00-07:00",
-          "2010-02-28T09:19:00-07:00",
-          "2010-02-28T09:20:00-07:00",
-          "2010-02-28T09:21:00-07:00",
-          "2010-02-28T09:22:00-07:00",
-          "2010-02-28T09:23:00-07:00",
-          "2010-02-28T09:24:00-07:00",
-          "2010-02-28T09:25:00-07:00",
-          "2010-02-28T09:26:00-07:00",
-          "2010-02-28T09:27:00-07:00",
-          "2010-02-28T09:28:00-07:00",
-          "2010-02-28T09:29:00-07:00",
-          "2010-02-28T09:30:00-07:00",
-          "2010-02-28T09:31:00-07:00",
-          "2010-02-28T09:32:00-07:00",
-          "2010-02-28T09:33:00-07:00",
-          "2010-02-28T09:34:00-07:00",
-          "2010-02-28T09:35:00-07:00",
-          "2010-02-28T09:36:00-07:00",
-          "2010-02-28T09:37:00-07:00",
-          "2010-02-28T09:38:00-07:00",
-          "2010-02-28T09:39:00-07:00",
-          "2010-02-28T09:40:00-07:00",
-          "2010-02-28T09:41:00-07:00",
-          "2010-02-28T09:42:00-07:00",
-          "2010-02-28T09:43:00-07:00",
-          "2010-02-28T09:44:00-07:00",
-          "2010-02-28T09:45:00-07:00",
-          "2010-02-28T09:46:00-07:00",
-          "2010-02-28T09:47:00-07:00",
-          "2010-02-28T09:48:00-07:00",
-          "2010-02-28T09:49:00-07:00",
-          "2010-02-28T09:50:00-07:00",
-          "2010-02-28T09:51:00-07:00",
-          "2010-02-28T09:52:00-07:00",
-          "2010-02-28T09:53:00-07:00",
-          "2010-02-28T09:54:00-07:00",
-          "2010-02-28T09:55:00-07:00",
-          "2010-02-28T09:56:00-07:00",
-          "2010-02-28T09:57:00-07:00",
-          "2010-02-28T09:58:00-07:00",
-          "2010-02-28T09:59:00-07:00",
-          "2010-02-28T10:00:00-07:00",
-          "2010-02-28T10:01:00-07:00",
-          "2010-02-28T10:02:00-07:00",
-          "2010-02-28T10:03:00-07:00",
-          "2010-02-28T10:04:00-07:00",
-          "2010-02-28T10:05:00-07:00",
-          "2010-02-28T10:06:00-07:00",
-          "2010-02-28T10:07:00-07:00",
-          "2010-02-28T10:08:00-07:00",
-          "2010-02-28T10:09:00-07:00",
-          "2010-02-28T10:10:00-07:00",
-          "2010-02-28T10:11:00-07:00",
-          "2010-02-28T10:12:00-07:00",
-          "2010-02-28T10:13:00-07:00",
-          "2010-02-28T10:14:00-07:00",
-          "2010-02-28T10:15:00-07:00",
-          "2010-02-28T10:16:00-07:00",
-          "2010-02-28T10:17:00-07:00",
-          "2010-02-28T10:18:00-07:00",
-          "2010-02-28T10:19:00-07:00",
-          "2010-02-28T10:20:00-07:00",
-          "2010-02-28T10:21:00-07:00",
-          "2010-02-28T10:22:00-07:00",
-          "2010-02-28T10:23:00-07:00",
-          "2010-02-28T10:24:00-07:00",
-          "2010-02-28T10:25:00-07:00",
-          "2010-02-28T10:26:00-07:00",
-          "2010-02-28T10:27:00-07:00",
-          "2010-02-28T10:28:00-07:00",
-          "2010-02-28T10:29:00-07:00",
-          "2010-02-28T10:30:00-07:00",
-          "2010-02-28T10:31:00-07:00",
-          "2010-02-28T10:32:00-07:00",
-          "2010-02-28T10:33:00-07:00",
-          "2010-02-28T10:34:00-07:00",
-          "2010-02-28T10:35:00-07:00",
-          "2010-02-28T10:36:00-07:00",
-          "2010-02-28T10:37:00-07:00",
-          "2010-02-28T10:38:00-07:00",
-          "2010-02-28T10:39:00-07:00",
-          "2010-02-28T10:40:00-07:00",
-          "2010-02-28T10:41:00-07:00",
-          "2010-02-28T10:42:00-07:00",
-          "2010-02-28T10:43:00-07:00",
-          "2010-02-28T10:44:00-07:00",
-          "2010-02-28T10:45:00-07:00",
-          "2010-02-28T10:46:00-07:00",
-          "2010-02-28T10:47:00-07:00",
-          "2010-02-28T10:48:00-07:00",
-          "2010-02-28T10:49:00-07:00",
-          "2010-02-28T10:50:00-07:00",
-          "2010-02-28T10:51:00-07:00",
-          "2010-02-28T10:52:00-07:00",
-          "2010-02-28T10:53:00-07:00",
-          "2010-02-28T10:54:00-07:00",
-          "2010-02-28T10:55:00-07:00",
-          "2010-02-28T10:56:00-07:00",
-          "2010-02-28T10:57:00-07:00",
-          "2010-02-28T10:58:00-07:00",
-          "2010-02-28T10:59:00-07:00",
-          "2010-02-28T11:00:00-07:00",
-          "2010-02-28T11:01:00-07:00",
-          "2010-02-28T11:02:00-07:00",
-          "2010-02-28T11:03:00-07:00",
-          "2010-02-28T11:05:00-07:00",
-          "2010-02-28T11:07:00-07:00",
-          "2010-02-28T11:08:00-07:00",
-          "2010-02-28T11:09:00-07:00",
-          "2010-02-28T11:10:00-07:00",
-          "2010-02-28T11:12:00-07:00",
-          "2010-02-28T11:13:00-07:00",
-          "2010-02-28T11:14:00-07:00",
-          "2010-02-28T11:15:00-07:00",
-          "2010-02-28T11:16:00-07:00",
-          "2010-02-28T11:18:00-07:00",
-          "2010-02-28T11:19:00-07:00",
-          "2010-02-28T11:20:00-07:00",
-          "2010-02-28T11:21:00-07:00",
-          "2010-02-28T11:22:00-07:00",
-          "2010-02-28T11:23:00-07:00",
-          "2010-02-28T11:24:00-07:00",
-          "2010-02-28T11:25:00-07:00",
-          "2010-02-28T11:26:00-07:00",
-          "2010-02-28T11:27:00-07:00",
-          "2010-02-28T11:28:00-07:00",
-          "2010-02-28T11:29:00-07:00",
-          "2010-02-28T11:30:00-07:00",
-          "2010-02-28T11:31:00-07:00",
-          "2010-02-28T11:32:00-07:00",
-          "2010-02-28T11:33:00-07:00",
-          "2010-02-28T11:34:00-07:00",
-          "2010-02-28T11:35:00-07:00",
-          "2010-02-28T11:36:00-07:00",
-          "2010-02-28T11:37:00-07:00",
-          "2010-02-28T11:38:00-07:00",
-          "2010-02-28T11:39:00-07:00",
-          "2010-02-28T11:40:00-07:00",
-          "2010-02-28T11:42:00-07:00",
-          "2010-02-28T11:43:00-07:00",
-          "2010-02-28T11:44:00-07:00",
-          "2010-02-28T11:47:00-07:00",
-          "2010-02-28T11:48:00-07:00",
-          "2010-02-28T11:50:00-07:00",
-          "2010-02-28T11:51:00-07:00",
-          "2010-02-28T11:52:00-07:00",
-          "2010-02-28T11:53:00-07:00",
-          "2010-02-28T11:54:00-07:00",
-          "2010-02-28T11:55:00-07:00",
-          "2010-02-28T11:56:00-07:00",
-          "2010-02-28T11:57:00-07:00",
-          "2010-02-28T11:58:00-07:00",
-          "2010-02-28T11:59:00-07:00",
-          "2010-02-28T12:02:00-07:00",
-          "2010-02-28T12:03:00-07:00",
-          "2010-02-28T12:04:00-07:00",
-          "2010-02-28T12:07:00-07:00",
-          "2010-02-28T12:11:00-07:00",
-          "2010-02-28T12:16:00-07:00",
-          "2010-02-28T12:17:00-07:00",
-          "2010-02-28T12:20:00-07:00",
-          "2010-02-28T12:21:00-07:00",
-          "2010-02-28T12:22:00-07:00",
-          "2010-02-28T12:23:00-07:00",
-          "2010-02-28T12:24:00-07:00",
-          "2010-02-28T12:27:00-07:00",
-          "2010-02-28T12:28:00-07:00",
-          "2010-02-28T12:31:00-07:00",
-          "2010-02-28T12:32:00-07:00",
-          "2010-02-28T12:35:00-07:00",
-          "2010-02-28T12:36:00-07:00",
-          "2010-02-28T12:39:00-07:00",
-          "2010-02-28T12:40:00-07:00",
-          "2010-02-28T12:41:00-07:00",
-          "2010-02-28T12:45:00-07:00",
-          "2010-02-28T12:46:00-07:00",
-          "2010-02-28T12:48:00-07:00",
-          "2010-02-28T12:49:00-07:00",
-          "2010-02-28T12:53:00-07:00",
-          "2010-02-28T12:55:00-07:00",
-          "2010-02-28T12:56:00-07:00",
-          "2010-02-28T12:57:00-07:00",
-          "2010-02-28T12:58:00-07:00",
-          "2010-02-28T13:00:00-07:00",
-          "2010-02-28T13:02:00-07:00",
-          "2010-02-28T13:03:00-07:00",
-          "2010-02-28T13:06:00-07:00",
-          "2010-02-28T13:11:00-07:00",
-          "2010-02-28T13:13:00-07:00",
-          "2010-02-28T13:14:00-07:00",
-          "2010-02-28T13:15:00-07:00",
-          "2010-02-28T13:16:00-07:00",
-          "2010-02-28T13:19:00-07:00",
-          "2010-02-28T13:20:00-07:00",
-          "2010-02-28T13:22:00-07:00",
-          "2010-02-28T13:24:00-07:00",
-          "2010-02-28T13:27:00-07:00",
-          "2010-02-28T13:28:00-07:00",
-          "2010-02-28T13:29:00-07:00",
-          "2010-02-28T13:30:00-07:00",
-          "2010-02-28T13:31:00-07:00",
-          "2010-02-28T13:32:00-07:00",
-          "2010-02-28T13:33:00-07:00",
-          "2010-02-28T13:34:00-07:00",
-          "2010-02-28T13:35:00-07:00",
-          "2010-02-28T13:36:00-07:00",
-          "2010-02-28T13:37:00-07:00",
-          "2010-02-28T13:38:00-07:00",
-          "2010-02-28T13:39:00-07:00",
-          "2010-02-28T13:40:00-07:00",
-          "2010-02-28T13:41:00-07:00",
-          "2010-02-28T13:42:00-07:00",
-          "2010-02-28T13:43:00-07:00",
-          "2010-02-28T13:44:00-07:00",
-          "2010-02-28T13:45:00-07:00",
-          "2010-02-28T13:46:00-07:00",
-          "2010-02-28T13:47:00-07:00",
-          "2010-02-28T13:48:00-07:00",
-          "2010-02-28T13:49:00-07:00",
-          "2010-02-28T13:50:00-07:00",
-          "2010-02-28T13:51:00-07:00",
-          "2010-02-28T13:52:00-07:00",
-          "2010-02-28T13:53:00-07:00",
-          "2010-02-28T13:54:00-07:00",
-          "2010-02-28T13:55:00-07:00",
-          "2010-02-28T13:56:00-07:00",
-          "2010-02-28T13:57:00-07:00",
-          "2010-02-28T13:58:00-07:00",
-          "2010-02-28T13:59:00-07:00",
-          "2010-02-28T14:00:00-07:00",
-          "2010-02-28T14:01:00-07:00",
-          "2010-02-28T14:02:00-07:00",
-          "2010-02-28T14:03:00-07:00",
-          "2010-02-28T14:04:00-07:00",
-          "2010-02-28T14:05:00-07:00",
-          "2010-02-28T14:06:00-07:00",
-          "2010-02-28T14:07:00-07:00",
-          "2010-02-28T14:08:00-07:00",
-          "2010-02-28T14:09:00-07:00",
-          "2010-02-28T14:10:00-07:00",
-          "2010-02-28T14:11:00-07:00",
-          "2010-02-28T14:12:00-07:00",
-          "2010-02-28T14:13:00-07:00",
-          "2010-02-28T14:14:00-07:00",
-          "2010-02-28T14:15:00-07:00",
-          "2010-02-28T14:16:00-07:00",
-          "2010-02-28T14:17:00-07:00",
-          "2010-02-28T14:18:00-07:00",
-          "2010-02-28T14:19:00-07:00",
-          "2010-02-28T14:20:00-07:00",
-          "2010-02-28T14:21:00-07:00",
-          "2010-02-28T14:22:00-07:00",
-          "2010-02-28T14:23:00-07:00",
-          "2010-02-28T14:24:00-07:00",
-          "2010-02-28T14:25:00-07:00",
-          "2010-02-28T14:26:00-07:00",
-          "2010-02-28T14:27:00-07:00",
-          "2010-02-28T14:28:00-07:00",
-          "2010-02-28T14:29:00-07:00",
-          "2010-02-28T14:30:00-07:00",
-          "2010-02-28T14:31:00-07:00",
-          "2010-02-28T14:32:00-07:00",
-          "2010-02-28T14:33:00-07:00",
-          "2010-02-28T14:34:00-07:00",
-          "2010-02-28T14:35:00-07:00",
-          "2010-02-28T14:36:00-07:00",
-          "2010-02-28T14:37:00-07:00",
-          "2010-02-28T14:38:00-07:00",
-          "2010-02-28T14:39:00-07:00",
-          "2010-02-28T14:40:00-07:00",
-          "2010-02-28T14:41:00-07:00",
-          "2010-02-28T14:42:00-07:00",
-          "2010-02-28T14:43:00-07:00",
-          "2010-02-28T14:44:00-07:00",
-          "2010-02-28T14:45:00-07:00",
-          "2010-02-28T14:46:00-07:00",
-          "2010-02-28T14:47:00-07:00",
-          "2010-02-28T14:48:00-07:00",
-          "2010-02-28T14:49:00-07:00",
-          "2010-02-28T14:50:00-07:00",
-          "2010-02-28T14:51:00-07:00",
-          "2010-02-28T14:52:00-07:00",
-          "2010-02-28T14:53:00-07:00",
-          "2010-02-28T14:54:00-07:00",
-          "2010-02-28T14:55:00-07:00",
-          "2010-02-28T14:56:00-07:00",
-          "2010-02-28T14:57:00-07:00",
-          "2010-02-28T14:58:00-07:00",
-          "2010-02-28T14:59:00-07:00",
-          "2010-02-28T15:00:00-07:00",
-          "2010-02-28T15:01:00-07:00",
-          "2010-02-28T15:02:00-07:00",
-          "2010-02-28T15:03:00-07:00",
-          "2010-02-28T15:04:00-07:00",
-          "2010-02-28T15:05:00-07:00",
-          "2010-02-28T15:06:00-07:00",
-          "2010-02-28T15:07:00-07:00",
-          "2010-02-28T15:08:00-07:00",
-          "2010-02-28T15:09:00-07:00",
-          "2010-02-28T15:10:00-07:00",
-          "2010-02-28T15:11:00-07:00",
-          "2010-02-28T15:12:00-07:00",
-          "2010-02-28T15:13:00-07:00",
-          "2010-02-28T15:14:00-07:00",
-          "2010-02-28T15:15:00-07:00",
-          "2010-02-28T15:16:00-07:00",
-          "2010-02-28T15:17:00-07:00",
-          "2010-02-28T15:18:00-07:00",
-          "2010-02-28T15:19:00-07:00",
-          "2010-02-28T15:20:00-07:00",
-          "2010-02-28T15:21:00-07:00",
-          "2010-02-28T15:22:00-07:00",
-          "2010-02-28T15:23:00-07:00",
-          "2010-02-28T15:24:00-07:00",
-          "2010-02-28T15:25:00-07:00",
-          "2010-02-28T15:26:00-07:00",
-          "2010-02-28T15:27:00-07:00",
-          "2010-02-28T15:28:00-07:00",
-          "2010-02-28T15:29:00-07:00",
-          "2010-02-28T15:30:00-07:00",
-          "2010-02-28T15:31:00-07:00",
-          "2010-02-28T15:32:00-07:00",
-          "2010-02-28T15:33:00-07:00",
-          "2010-02-28T15:34:00-07:00",
-          "2010-02-28T15:35:00-07:00",
-          "2010-02-28T15:36:00-07:00",
-          "2010-02-28T15:37:00-07:00",
-          "2010-02-28T15:38:00-07:00",
-          "2010-02-28T15:39:00-07:00",
-          "2010-02-28T15:40:00-07:00",
-          "2010-02-28T15:41:00-07:00",
-          "2010-02-28T15:42:00-07:00",
-          "2010-02-28T15:43:00-07:00",
-          "2010-02-28T15:44:00-07:00",
-          "2010-02-28T15:45:00-07:00",
-          "2010-02-28T15:46:00-07:00",
-          "2010-02-28T15:47:00-07:00",
-          "2010-02-28T15:48:00-07:00",
-          "2010-02-28T15:49:00-07:00",
-          "2010-02-28T15:50:00-07:00",
-          "2010-02-28T15:51:00-07:00",
-          "2010-02-28T15:52:00-07:00",
-          "2010-02-28T15:53:00-07:00",
-          "2010-02-28T15:54:00-07:00",
-          "2010-02-28T15:55:00-07:00",
-          "2010-02-28T15:56:00-07:00",
-          "2010-02-28T15:57:00-07:00",
-          "2010-02-28T15:58:00-07:00",
-          "2010-02-28T15:59:00-07:00",
-          "2010-02-28T16:00:00-07:00",
-          "2010-02-28T16:01:00-07:00",
-          "2010-02-28T16:02:00-07:00",
-          "2010-02-28T16:03:00-07:00",
-          "2010-02-28T16:04:00-07:00",
-          "2010-02-28T16:05:00-07:00",
-          "2010-02-28T16:06:00-07:00",
-          "2010-02-28T16:07:00-07:00",
-          "2010-02-28T16:08:00-07:00",
-          "2010-02-28T16:09:00-07:00",
-          "2010-02-28T16:10:00-07:00",
-          "2010-02-28T16:11:00-07:00",
-          "2010-02-28T16:12:00-07:00",
-          "2010-02-28T16:13:00-07:00",
-          "2010-02-28T16:14:00-07:00",
-          "2010-02-28T16:15:00-07:00",
-          "2010-02-28T16:16:00-07:00",
-          "2010-02-28T16:17:00-07:00",
-          "2010-02-28T16:18:00-07:00",
-          "2010-02-28T16:19:00-07:00",
-          "2010-02-28T16:20:00-07:00",
-          "2010-02-28T16:21:00-07:00",
-          "2010-02-28T16:22:00-07:00",
-          "2010-02-28T16:23:00-07:00",
-          "2010-02-28T16:24:00-07:00",
-          "2010-02-28T16:25:00-07:00",
-          "2010-02-28T16:26:00-07:00",
-          "2010-02-28T16:27:00-07:00",
-          "2010-02-28T16:28:00-07:00",
-          "2010-02-28T16:29:00-07:00",
-          "2010-02-28T16:30:00-07:00",
-          "2010-02-28T16:31:00-07:00",
-          "2010-02-28T16:32:00-07:00",
-          "2010-02-28T16:33:00-07:00",
-          "2010-02-28T16:34:00-07:00",
-          "2010-02-28T16:35:00-07:00",
-          "2010-02-28T16:36:00-07:00",
-          "2010-02-28T16:37:00-07:00",
-          "2010-02-28T16:38:00-07:00",
-          "2010-02-28T16:39:00-07:00",
-          "2010-02-28T16:40:00-07:00",
-          "2010-02-28T16:41:00-07:00",
-          "2010-02-28T16:42:00-07:00",
-          "2010-02-28T16:43:00-07:00",
-          "2010-02-28T16:44:00-07:00",
-          "2010-02-28T16:45:00-07:00",
-          "2010-02-28T16:46:00-07:00",
-          "2010-02-28T16:47:00-07:00",
-          "2010-02-28T16:48:00-07:00",
-          "2010-02-28T16:49:00-07:00",
-          "2010-02-28T16:50:00-07:00",
-          "2010-02-28T16:51:00-07:00",
-          "2010-02-28T16:52:00-07:00",
-          "2010-02-28T16:53:00-07:00",
-          "2010-02-28T16:54:00-07:00",
-          "2010-02-28T16:55:00-07:00",
-          "2010-02-28T16:56:00-07:00",
-          "2010-02-28T16:57:00-07:00",
-          "2010-02-28T16:58:00-07:00",
-          "2010-02-28T16:59:00-07:00",
-          "2010-02-28T17:00:00-07:00",
-          "2010-02-28T17:01:00-07:00",
-          "2010-02-28T17:02:00-07:00",
-          "2010-02-28T17:03:00-07:00",
-          "2010-02-28T17:04:00-07:00",
-          "2010-02-28T17:05:00-07:00",
-          "2010-02-28T17:06:00-07:00",
-          "2010-02-28T17:07:00-07:00",
-          "2010-02-28T17:08:00-07:00",
-          "2010-02-28T17:09:00-07:00",
-          "2010-02-28T17:10:00-07:00",
-          "2010-02-28T17:11:00-07:00",
-          "2010-02-28T17:12:00-07:00",
-          "2010-02-28T17:13:00-07:00",
-          "2010-02-28T17:14:00-07:00",
-          "2010-02-28T17:15:00-07:00",
-          "2010-02-28T17:16:00-07:00",
-          "2010-02-28T17:17:00-07:00",
-          "2010-02-28T17:18:00-07:00",
-          "2010-02-28T17:19:00-07:00",
-          "2010-02-28T17:20:00-07:00",
-          "2010-02-28T17:21:00-07:00",
-          "2010-02-28T17:22:00-07:00",
-          "2010-02-28T17:23:00-07:00",
-          "2010-02-28T17:24:00-07:00",
-          "2010-02-28T17:25:00-07:00",
-          "2010-02-28T17:26:00-07:00",
-          "2010-02-28T17:27:00-07:00",
-          "2010-02-28T17:28:00-07:00",
-          "2010-02-28T17:29:00-07:00",
-          "2010-02-28T17:30:00-07:00",
-          "2010-02-28T17:31:00-07:00",
-          "2010-02-28T17:32:00-07:00",
-          "2010-02-28T17:33:00-07:00",
-          "2010-02-28T17:34:00-07:00",
-          "2010-02-28T17:35:00-07:00",
-          "2010-02-28T17:36:00-07:00",
-          "2010-02-28T17:37:00-07:00",
-          "2010-02-28T17:38:00-07:00",
-          "2010-02-28T17:39:00-07:00",
-          "2010-02-28T17:40:00-07:00",
-          "2010-02-28T17:41:00-07:00",
-          "2010-02-28T17:42:00-07:00",
-          "2010-02-28T17:43:00-07:00",
-          "2010-02-28T17:44:00-07:00",
-          "2010-02-28T17:45:00-07:00",
-          "2010-02-28T17:46:00-07:00",
-          "2010-02-28T17:47:00-07:00",
-          "2010-02-28T17:48:00-07:00",
-          "2010-02-28T17:49:00-07:00",
-          "2010-02-28T17:50:00-07:00",
-          "2010-02-28T17:51:00-07:00",
-          "2010-02-28T17:52:00-07:00",
-          "2010-02-28T17:53:00-07:00",
-          "2010-02-28T17:54:00-07:00",
-          "2010-02-28T17:55:00-07:00",
-          "2010-02-28T17:56:00-07:00",
-          "2010-02-28T17:57:00-07:00",
-          "2010-02-28T17:58:00-07:00",
-          "2010-02-28T17:59:00-07:00",
-          "2010-02-28T18:00:00-07:00",
-          "2010-02-28T18:01:00-07:00",
-          "2010-02-28T18:02:00-07:00",
-          "2010-02-28T18:03:00-07:00",
-          "2010-02-28T18:04:00-07:00",
-          "2010-02-28T18:05:00-07:00",
-          "2010-02-28T18:06:00-07:00",
-          "2010-02-28T18:07:00-07:00",
-          "2010-02-28T18:08:00-07:00",
-          "2010-02-28T18:09:00-07:00",
-          "2010-02-28T18:10:00-07:00",
-          "2010-02-28T18:11:00-07:00",
-          "2010-02-28T18:12:00-07:00",
-          "2010-02-28T18:13:00-07:00",
-          "2010-02-28T18:14:00-07:00",
-          "2010-02-28T18:15:00-07:00",
-          "2010-02-28T18:16:00-07:00",
-          "2010-02-28T18:17:00-07:00",
-          "2010-02-28T18:18:00-07:00",
-          "2010-02-28T18:19:00-07:00",
-          "2010-02-28T18:20:00-07:00",
-          "2010-02-28T18:21:00-07:00",
-          "2010-02-28T18:22:00-07:00",
-          "2010-02-28T18:23:00-07:00",
-          "2010-02-28T18:24:00-07:00",
-          "2010-02-28T18:25:00-07:00",
-          "2010-02-28T18:26:00-07:00",
-          "2010-02-28T18:27:00-07:00",
-          "2010-02-28T18:28:00-07:00",
-          "2010-02-28T18:29:00-07:00",
-          "2010-02-28T18:30:00-07:00",
-          "2010-02-28T18:31:00-07:00",
-          "2010-02-28T18:32:00-07:00",
-          "2010-02-28T18:33:00-07:00",
-          "2010-02-28T18:34:00-07:00",
-          "2010-02-28T18:35:00-07:00",
-          "2010-02-28T18:36:00-07:00",
-          "2010-02-28T18:37:00-07:00",
-          "2010-02-28T18:38:00-07:00",
-          "2010-02-28T18:39:00-07:00",
-          "2010-02-28T18:40:00-07:00",
-          "2010-02-28T18:41:00-07:00",
-          "2010-02-28T18:42:00-07:00",
-          "2010-02-28T18:43:00-07:00",
-          "2010-02-28T18:44:00-07:00",
-          "2010-02-28T18:45:00-07:00",
-          "2010-02-28T18:46:00-07:00",
-          "2010-02-28T18:47:00-07:00",
-          "2010-02-28T18:48:00-07:00",
-          "2010-02-28T18:49:00-07:00",
-          "2010-02-28T18:50:00-07:00",
-          "2010-02-28T18:51:00-07:00",
-          "2010-02-28T18:52:00-07:00",
-          "2010-02-28T18:53:00-07:00",
-          "2010-02-28T18:54:00-07:00",
-          "2010-02-28T18:55:00-07:00",
-          "2010-02-28T18:56:00-07:00",
-          "2010-02-28T18:57:00-07:00",
-          "2010-02-28T18:58:00-07:00",
-          "2010-02-28T18:59:00-07:00",
-          "2010-02-28T19:00:00-07:00",
-          "2010-02-28T19:01:00-07:00",
-          "2010-02-28T19:02:00-07:00",
-          "2010-02-28T19:03:00-07:00",
-          "2010-02-28T19:04:00-07:00",
-          "2010-02-28T19:05:00-07:00",
-          "2010-02-28T19:06:00-07:00",
-          "2010-02-28T19:07:00-07:00",
-          "2010-02-28T19:08:00-07:00",
-          "2010-02-28T19:09:00-07:00",
-          "2010-02-28T19:10:00-07:00",
-          "2010-02-28T19:11:00-07:00",
-          "2010-02-28T19:12:00-07:00",
-          "2010-02-28T19:13:00-07:00",
-          "2010-02-28T19:14:00-07:00",
-          "2010-02-28T19:15:00-07:00",
-          "2010-02-28T19:16:00-07:00",
-          "2010-02-28T19:17:00-07:00",
-          "2010-02-28T19:18:00-07:00",
-          "2010-02-28T19:19:00-07:00",
-          "2010-02-28T19:20:00-07:00",
-          "2010-02-28T19:21:00-07:00",
-          "2010-02-28T19:22:00-07:00",
-          "2010-02-28T19:23:00-07:00",
-          "2010-02-28T19:24:00-07:00",
-          "2010-02-28T19:25:00-07:00",
-          "2010-02-28T19:26:00-07:00",
-          "2010-02-28T19:27:00-07:00",
-          "2010-02-28T19:28:00-07:00",
-          "2010-02-28T19:29:00-07:00",
-          "2010-02-28T19:30:00-07:00",
-          "2010-02-28T19:31:00-07:00",
-          "2010-02-28T19:32:00-07:00",
-          "2010-02-28T19:33:00-07:00",
-          "2010-02-28T19:34:00-07:00",
-          "2010-02-28T19:35:00-07:00",
-          "2010-02-28T19:36:00-07:00",
-          "2010-02-28T19:37:00-07:00",
-          "2010-02-28T19:38:00-07:00",
-          "2010-02-28T19:39:00-07:00",
-          "2010-02-28T19:40:00-07:00",
-          "2010-02-28T19:41:00-07:00",
-          "2010-02-28T19:42:00-07:00",
-          "2010-02-28T19:43:00-07:00",
-          "2010-02-28T19:44:00-07:00",
-          "2010-02-28T19:45:00-07:00",
-          "2010-02-28T19:46:00-07:00",
-          "2010-02-28T19:47:00-07:00",
-          "2010-02-28T19:48:00-07:00",
-          "2010-02-28T19:49:00-07:00",
-          "2010-02-28T19:50:00-07:00",
-          "2010-02-28T19:51:00-07:00",
-          "2010-02-28T19:52:00-07:00",
-          "2010-02-28T19:53:00-07:00",
-          "2010-02-28T19:54:00-07:00",
-          "2010-02-28T19:55:00-07:00",
-          "2010-02-28T19:56:00-07:00",
-          "2010-02-28T19:57:00-07:00",
-          "2010-02-28T19:58:00-07:00",
-          "2010-02-28T19:59:00-07:00",
-          "2010-02-28T20:00:00-07:00",
-          "2010-02-28T20:01:00-07:00",
-          "2010-02-28T20:02:00-07:00",
-          "2010-02-28T20:03:00-07:00",
-          "2010-02-28T20:04:00-07:00",
-          "2010-02-28T20:05:00-07:00",
-          "2010-02-28T20:06:00-07:00",
-          "2010-02-28T20:07:00-07:00",
-          "2010-02-28T20:08:00-07:00",
-          "2010-02-28T20:09:00-07:00",
-          "2010-02-28T20:10:00-07:00",
-          "2010-02-28T20:11:00-07:00",
-          "2010-02-28T20:12:00-07:00",
-          "2010-02-28T20:13:00-07:00",
-          "2010-02-28T20:14:00-07:00",
-          "2010-02-28T20:15:00-07:00",
-          "2010-02-28T20:16:00-07:00",
-          "2010-02-28T20:17:00-07:00",
-          "2010-02-28T20:18:00-07:00",
-          "2010-02-28T20:19:00-07:00",
-          "2010-02-28T20:20:00-07:00",
-          "2010-02-28T20:21:00-07:00",
-          "2010-02-28T20:22:00-07:00",
-          "2010-02-28T20:23:00-07:00",
-          "2010-02-28T20:24:00-07:00",
-          "2010-02-28T20:25:00-07:00",
-          "2010-02-28T20:26:00-07:00",
-          "2010-02-28T20:27:00-07:00",
-          "2010-02-28T20:28:00-07:00",
-          "2010-02-28T20:29:00-07:00",
-          "2010-02-28T20:30:00-07:00",
-          "2010-02-28T20:31:00-07:00",
-          "2010-02-28T20:32:00-07:00",
-          "2010-02-28T20:33:00-07:00",
-          "2010-02-28T20:34:00-07:00",
-          "2010-02-28T20:35:00-07:00",
-          "2010-02-28T20:36:00-07:00",
-          "2010-02-28T20:37:00-07:00",
-          "2010-02-28T20:38:00-07:00",
-          "2010-02-28T20:39:00-07:00",
-          "2010-02-28T20:40:00-07:00",
-          "2010-02-28T20:41:00-07:00",
-          "2010-02-28T20:42:00-07:00",
-          "2010-02-28T20:43:00-07:00",
-          "2010-02-28T20:44:00-07:00",
-          "2010-02-28T20:45:00-07:00",
-          "2010-02-28T20:46:00-07:00",
-          "2010-02-28T20:47:00-07:00",
-          "2010-02-28T20:48:00-07:00",
-          "2010-02-28T20:49:00-07:00",
-          "2010-02-28T20:50:00-07:00",
-          "2010-02-28T20:51:00-07:00",
-          "2010-02-28T20:52:00-07:00",
-          "2010-02-28T20:53:00-07:00",
-          "2010-02-28T20:54:00-07:00",
-          "2010-02-28T20:55:00-07:00",
-          "2010-02-28T20:56:00-07:00",
-          "2010-02-28T20:57:00-07:00",
-          "2010-02-28T20:58:00-07:00",
-          "2010-02-28T20:59:00-07:00",
-          "2010-02-28T21:00:00-07:00",
-          "2010-02-28T21:01:00-07:00",
-          "2010-02-28T21:02:00-07:00",
-          "2010-02-28T21:03:00-07:00",
-          "2010-02-28T21:04:00-07:00",
-          "2010-02-28T21:05:00-07:00",
-          "2010-02-28T21:06:00-07:00",
-          "2010-02-28T21:07:00-07:00",
-          "2010-02-28T21:08:00-07:00",
-          "2010-02-28T21:09:00-07:00",
-          "2010-02-28T21:10:00-07:00",
-          "2010-02-28T21:11:00-07:00",
-          "2010-02-28T21:12:00-07:00",
-          "2010-02-28T21:13:00-07:00",
-          "2010-02-28T21:14:00-07:00",
-          "2010-02-28T21:15:00-07:00",
-          "2010-02-28T21:16:00-07:00",
-          "2010-02-28T21:17:00-07:00",
-          "2010-02-28T21:18:00-07:00",
-          "2010-02-28T21:19:00-07:00",
-          "2010-02-28T21:20:00-07:00",
-          "2010-02-28T21:21:00-07:00",
-          "2010-02-28T21:22:00-07:00",
-          "2010-02-28T21:23:00-07:00",
-          "2010-02-28T21:24:00-07:00",
-          "2010-02-28T21:25:00-07:00",
-          "2010-02-28T21:26:00-07:00",
-          "2010-02-28T21:27:00-07:00",
-          "2010-02-28T21:28:00-07:00",
-          "2010-02-28T21:29:00-07:00",
-          "2010-02-28T21:30:00-07:00",
-          "2010-02-28T21:31:00-07:00",
-          "2010-02-28T21:32:00-07:00",
-          "2010-02-28T21:33:00-07:00",
-          "2010-02-28T21:34:00-07:00",
-          "2010-02-28T21:35:00-07:00",
-          "2010-02-28T21:36:00-07:00",
-          "2010-02-28T21:37:00-07:00",
-          "2010-02-28T21:38:00-07:00",
-          "2010-02-28T21:39:00-07:00",
-          "2010-02-28T21:40:00-07:00",
-          "2010-02-28T21:41:00-07:00",
-          "2010-02-28T21:42:00-07:00",
-          "2010-02-28T21:43:00-07:00",
-          "2010-02-28T21:44:00-07:00",
-          "2010-02-28T21:45:00-07:00",
-          "2010-02-28T21:46:00-07:00",
-          "2010-02-28T21:47:00-07:00",
-          "2010-02-28T21:48:00-07:00",
-          "2010-02-28T21:49:00-07:00",
-          "2010-02-28T21:50:00-07:00",
-          "2010-02-28T21:51:00-07:00",
-          "2010-02-28T21:52:00-07:00",
-          "2010-02-28T21:53:00-07:00",
-          "2010-02-28T21:54:00-07:00",
-          "2010-02-28T21:55:00-07:00",
-          "2010-02-28T21:56:00-07:00",
-          "2010-02-28T21:57:00-07:00",
-          "2010-02-28T21:58:00-07:00",
-          "2010-02-28T21:59:00-07:00",
-          "2010-02-28T22:00:00-07:00",
-          "2010-02-28T22:01:00-07:00",
-          "2010-02-28T22:02:00-07:00",
-          "2010-02-28T22:03:00-07:00",
-          "2010-02-28T22:04:00-07:00",
-          "2010-02-28T22:05:00-07:00",
-          "2010-02-28T22:06:00-07:00",
-          "2010-02-28T22:07:00-07:00",
-          "2010-02-28T22:08:00-07:00",
-          "2010-02-28T22:09:00-07:00",
-          "2010-02-28T22:10:00-07:00",
-          "2010-02-28T22:11:00-07:00",
-          "2010-02-28T22:12:00-07:00",
-          "2010-02-28T22:13:00-07:00",
-          "2010-02-28T22:14:00-07:00",
-          "2010-02-28T22:15:00-07:00",
-          "2010-02-28T22:16:00-07:00",
-          "2010-02-28T22:17:00-07:00",
-          "2010-02-28T22:18:00-07:00",
-          "2010-02-28T22:19:00-07:00",
-          "2010-02-28T22:20:00-07:00",
-          "2010-02-28T22:21:00-07:00",
-          "2010-02-28T22:22:00-07:00",
-          "2010-02-28T22:23:00-07:00",
-          "2010-02-28T22:24:00-07:00",
-          "2010-02-28T22:25:00-07:00",
-          "2010-02-28T22:26:00-07:00",
-          "2010-02-28T22:27:00-07:00",
-          "2010-02-28T22:28:00-07:00",
-          "2010-02-28T22:29:00-07:00",
-          "2010-02-28T22:30:00-07:00",
-          "2010-02-28T22:31:00-07:00",
-          "2010-02-28T22:32:00-07:00",
-          "2010-02-28T22:33:00-07:00",
-          "2010-02-28T22:34:00-07:00",
-          "2010-02-28T22:35:00-07:00",
-          "2010-02-28T22:36:00-07:00",
-          "2010-02-28T22:37:00-07:00",
-          "2010-02-28T22:38:00-07:00",
-          "2010-02-28T22:39:00-07:00",
-          "2010-02-28T22:40:00-07:00",
-          "2010-02-28T22:41:00-07:00",
-          "2010-02-28T22:42:00-07:00",
-          "2010-02-28T22:43:00-07:00",
-          "2010-02-28T22:44:00-07:00",
-          "2010-02-28T22:45:00-07:00",
-          "2010-02-28T22:46:00-07:00",
-          "2010-02-28T22:47:00-07:00",
-          "2010-02-28T22:48:00-07:00",
-          "2010-02-28T22:49:00-07:00",
-          "2010-02-28T22:50:00-07:00",
-          "2010-02-28T22:51:00-07:00",
-          "2010-02-28T22:52:00-07:00",
-          "2010-02-28T22:53:00-07:00",
-          "2010-02-28T22:54:00-07:00",
-          "2010-02-28T22:55:00-07:00",
-          "2010-02-28T22:56:00-07:00",
-          "2010-02-28T22:57:00-07:00",
-          "2010-02-28T22:58:00-07:00",
-          "2010-02-28T22:59:00-07:00",
-          "2010-02-28T23:00:00-07:00",
-          "2010-02-28T23:01:00-07:00",
-          "2010-02-28T23:02:00-07:00",
-          "2010-02-28T23:03:00-07:00",
-          "2010-02-28T23:04:00-07:00",
-          "2010-02-28T23:05:00-07:00",
-          "2010-02-28T23:06:00-07:00",
-          "2010-02-28T23:07:00-07:00",
-          "2010-02-28T23:08:00-07:00",
-          "2010-02-28T23:09:00-07:00",
-          "2010-02-28T23:10:00-07:00",
-          "2010-02-28T23:11:00-07:00",
-          "2010-02-28T23:12:00-07:00",
-          "2010-02-28T23:13:00-07:00",
-          "2010-02-28T23:14:00-07:00",
-          "2010-02-28T23:15:00-07:00",
-          "2010-02-28T23:16:00-07:00",
-          "2010-02-28T23:17:00-07:00",
-          "2010-02-28T23:18:00-07:00",
-          "2010-02-28T23:19:00-07:00",
-          "2010-02-28T23:20:00-07:00",
-          "2010-02-28T23:21:00-07:00",
-          "2010-02-28T23:22:00-07:00",
-          "2010-02-28T23:23:00-07:00",
-          "2010-02-28T23:24:00-07:00",
-          "2010-02-28T23:25:00-07:00",
-          "2010-02-28T23:26:00-07:00",
-          "2010-02-28T23:27:00-07:00",
-          "2010-02-28T23:28:00-07:00",
-          "2010-02-28T23:29:00-07:00",
-          "2010-02-28T23:30:00-07:00",
-          "2010-02-28T23:31:00-07:00",
-          "2010-02-28T23:32:00-07:00",
-          "2010-02-28T23:33:00-07:00",
-          "2010-02-28T23:34:00-07:00",
-          "2010-02-28T23:35:00-07:00",
-          "2010-02-28T23:36:00-07:00",
-          "2010-02-28T23:37:00-07:00",
-          "2010-02-28T23:38:00-07:00",
-          "2010-02-28T23:39:00-07:00",
-          "2010-02-28T23:40:00-07:00",
-          "2010-02-28T23:41:00-07:00",
-          "2010-02-28T23:42:00-07:00",
-          "2010-02-28T23:43:00-07:00",
-          "2010-02-28T23:44:00-07:00",
-          "2010-02-28T23:45:00-07:00",
-          "2010-02-28T23:46:00-07:00",
-          "2010-02-28T23:47:00-07:00",
-          "2010-02-28T23:48:00-07:00",
-          "2010-02-28T23:49:00-07:00",
-          "2010-02-28T23:50:00-07:00",
-          "2010-02-28T23:51:00-07:00",
-          "2010-02-28T23:52:00-07:00",
-          "2010-02-28T23:53:00-07:00",
-          "2010-02-28T23:54:00-07:00",
-          "2010-02-28T23:55:00-07:00",
-          "2010-02-28T23:56:00-07:00",
-          "2010-02-28T23:57:00-07:00",
-          "2010-02-28T23:58:00-07:00",
-          "2010-02-28T23:59:00-07:00",
-          "2010-03-01T00:00:00-07:00",
-          "2010-03-01T00:01:00-07:00",
-          "2010-03-01T00:02:00-07:00",
-          "2010-03-01T00:03:00-07:00",
-          "2010-03-01T00:04:00-07:00",
-          "2010-03-01T00:05:00-07:00",
-          "2010-03-01T00:06:00-07:00",
-          "2010-03-01T00:07:00-07:00",
-          "2010-03-01T00:08:00-07:00",
-          "2010-03-01T00:09:00-07:00",
-          "2010-03-01T00:10:00-07:00",
-          "2010-03-01T00:11:00-07:00",
-          "2010-03-01T00:12:00-07:00",
-          "2010-03-01T00:13:00-07:00",
-          "2010-03-01T00:14:00-07:00",
-          "2010-03-01T00:15:00-07:00",
-          "2010-03-01T00:16:00-07:00",
-          "2010-03-01T00:17:00-07:00",
-          "2010-03-01T00:18:00-07:00",
-          "2010-03-01T00:19:00-07:00",
-          "2010-03-01T00:20:00-07:00",
-          "2010-03-01T00:21:00-07:00",
-          "2010-03-01T00:22:00-07:00",
-          "2010-03-01T00:23:00-07:00",
-          "2010-03-01T00:24:00-07:00",
-          "2010-03-01T00:25:00-07:00",
-          "2010-03-01T00:26:00-07:00",
-          "2010-03-01T00:27:00-07:00",
-          "2010-03-01T00:28:00-07:00",
-          "2010-03-01T00:29:00-07:00",
-          "2010-03-01T00:30:00-07:00",
-          "2010-03-01T00:31:00-07:00",
-          "2010-03-01T00:32:00-07:00",
-          "2010-03-01T00:33:00-07:00",
-          "2010-03-01T00:34:00-07:00",
-          "2010-03-01T00:35:00-07:00",
-          "2010-03-01T00:36:00-07:00",
-          "2010-03-01T00:37:00-07:00",
-          "2010-03-01T00:38:00-07:00",
-          "2010-03-01T00:39:00-07:00",
-          "2010-03-01T00:40:00-07:00",
-          "2010-03-01T00:41:00-07:00",
-          "2010-03-01T00:42:00-07:00",
-          "2010-03-01T00:43:00-07:00",
-          "2010-03-01T00:44:00-07:00",
-          "2010-03-01T00:45:00-07:00",
-          "2010-03-01T00:46:00-07:00",
-          "2010-03-01T00:47:00-07:00",
-          "2010-03-01T00:48:00-07:00",
-          "2010-03-01T00:49:00-07:00",
-          "2010-03-01T00:50:00-07:00",
-          "2010-03-01T00:51:00-07:00",
-          "2010-03-01T00:52:00-07:00",
-          "2010-03-01T00:53:00-07:00",
-          "2010-03-01T00:54:00-07:00",
-          "2010-03-01T00:55:00-07:00",
-          "2010-03-01T00:56:00-07:00",
-          "2010-03-01T00:57:00-07:00",
-          "2010-03-01T00:58:00-07:00",
-          "2010-03-01T00:59:00-07:00",
-          "2010-03-01T01:00:00-07:00",
-          "2010-03-01T01:01:00-07:00",
-          "2010-03-01T01:02:00-07:00",
-          "2010-03-01T01:03:00-07:00",
-          "2010-03-01T01:04:00-07:00",
-          "2010-03-01T01:05:00-07:00",
-          "2010-03-01T01:06:00-07:00",
-          "2010-03-01T01:07:00-07:00",
-          "2010-03-01T01:08:00-07:00",
-          "2010-03-01T01:09:00-07:00",
-          "2010-03-01T01:10:00-07:00",
-          "2010-03-01T01:11:00-07:00",
-          "2010-03-01T01:12:00-07:00",
-          "2010-03-01T01:13:00-07:00",
-          "2010-03-01T01:14:00-07:00",
-          "2010-03-01T01:15:00-07:00",
-          "2010-03-01T01:16:00-07:00",
-          "2010-03-01T01:17:00-07:00",
-          "2010-03-01T01:18:00-07:00",
-          "2010-03-01T01:19:00-07:00",
-          "2010-03-01T01:20:00-07:00",
-          "2010-03-01T01:21:00-07:00",
-          "2010-03-01T01:22:00-07:00",
-          "2010-03-01T01:23:00-07:00",
-          "2010-03-01T01:24:00-07:00",
-          "2010-03-01T01:25:00-07:00",
-          "2010-03-01T01:26:00-07:00",
-          "2010-03-01T01:27:00-07:00",
-          "2010-03-01T01:28:00-07:00",
-          "2010-03-01T01:29:00-07:00",
-          "2010-03-01T01:30:00-07:00",
-          "2010-03-01T01:31:00-07:00",
-          "2010-03-01T01:32:00-07:00",
-          "2010-03-01T01:33:00-07:00",
-          "2010-03-01T01:34:00-07:00",
-          "2010-03-01T01:35:00-07:00",
-          "2010-03-01T01:36:00-07:00",
-          "2010-03-01T01:37:00-07:00",
-          "2010-03-01T01:38:00-07:00",
-          "2010-03-01T01:39:00-07:00",
-          "2010-03-01T01:40:00-07:00",
-          "2010-03-01T01:41:00-07:00",
-          "2010-03-01T01:42:00-07:00",
-          "2010-03-01T01:43:00-07:00",
-          "2010-03-01T01:44:00-07:00",
-          "2010-03-01T01:45:00-07:00",
-          "2010-03-01T01:46:00-07:00",
-          "2010-03-01T01:47:00-07:00",
-          "2010-03-01T01:48:00-07:00",
-          "2010-03-01T01:49:00-07:00",
-          "2010-03-01T01:50:00-07:00",
-          "2010-03-01T01:51:00-07:00",
-          "2010-03-01T01:52:00-07:00",
-          "2010-03-01T01:53:00-07:00",
-          "2010-03-01T01:54:00-07:00",
-          "2010-03-01T01:55:00-07:00",
-          "2010-03-01T01:56:00-07:00",
-          "2010-03-01T01:57:00-07:00",
-          "2010-03-01T01:58:00-07:00",
-          "2010-03-01T01:59:00-07:00",
-          "2010-03-01T02:00:00-07:00",
-          "2010-03-01T02:01:00-07:00",
-          "2010-03-01T02:02:00-07:00",
-          "2010-03-01T02:03:00-07:00",
-          "2010-03-01T02:04:00-07:00",
-          "2010-03-01T02:05:00-07:00",
-          "2010-03-01T02:06:00-07:00",
-          "2010-03-01T02:07:00-07:00",
-          "2010-03-01T02:08:00-07:00",
-          "2010-03-01T02:09:00-07:00",
-          "2010-03-01T02:10:00-07:00",
-          "2010-03-01T02:11:00-07:00",
-          "2010-03-01T02:12:00-07:00",
-          "2010-03-01T02:13:00-07:00",
-          "2010-03-01T02:14:00-07:00",
-          "2010-03-01T02:15:00-07:00",
-          "2010-03-01T02:16:00-07:00",
-          "2010-03-01T02:17:00-07:00",
-          "2010-03-01T02:18:00-07:00",
-          "2010-03-01T02:19:00-07:00",
-          "2010-03-01T02:20:00-07:00",
-          "2010-03-01T02:21:00-07:00",
-          "2010-03-01T02:22:00-07:00",
-          "2010-03-01T02:23:00-07:00",
-          "2010-03-01T02:24:00-07:00",
-          "2010-03-01T02:25:00-07:00",
-          "2010-03-01T02:26:00-07:00",
-          "2010-03-01T02:27:00-07:00",
-          "2010-03-01T02:28:00-07:00",
-          "2010-03-01T02:29:00-07:00",
-          "2010-03-01T02:30:00-07:00",
-          "2010-03-01T02:31:00-07:00",
-          "2010-03-01T02:32:00-07:00",
-          "2010-03-01T02:33:00-07:00",
-          "2010-03-01T02:34:00-07:00",
-          "2010-03-01T02:35:00-07:00",
-          "2010-03-01T02:36:00-07:00",
-          "2010-03-01T02:37:00-07:00",
-          "2010-03-01T02:38:00-07:00",
-          "2010-03-01T02:39:00-07:00",
-          "2010-03-01T02:40:00-07:00",
-          "2010-03-01T02:41:00-07:00",
-          "2010-03-01T02:42:00-07:00",
-          "2010-03-01T02:43:00-07:00",
-          "2010-03-01T02:44:00-07:00",
-          "2010-03-01T02:45:00-07:00",
-          "2010-03-01T02:46:00-07:00",
-          "2010-03-01T02:47:00-07:00",
-          "2010-03-01T02:48:00-07:00",
-          "2010-03-01T02:49:00-07:00",
-          "2010-03-01T02:50:00-07:00",
-          "2010-03-01T02:51:00-07:00",
-          "2010-03-01T02:52:00-07:00",
-          "2010-03-01T02:53:00-07:00",
-          "2010-03-01T02:54:00-07:00",
-          "2010-03-01T02:55:00-07:00",
-          "2010-03-01T02:56:00-07:00",
-          "2010-03-01T02:57:00-07:00",
-          "2010-03-01T02:58:00-07:00",
-          "2010-03-01T02:59:00-07:00",
-          "2010-03-01T03:00:00-07:00",
-          "2010-03-01T03:01:00-07:00",
-          "2010-03-01T03:02:00-07:00",
-          "2010-03-01T03:03:00-07:00",
-          "2010-03-01T03:04:00-07:00",
-          "2010-03-01T03:05:00-07:00",
-          "2010-03-01T03:06:00-07:00",
-          "2010-03-01T03:07:00-07:00",
-          "2010-03-01T03:08:00-07:00",
-          "2010-03-01T03:09:00-07:00",
-          "2010-03-01T03:10:00-07:00",
-          "2010-03-01T03:11:00-07:00",
-          "2010-03-01T03:12:00-07:00",
-          "2010-03-01T03:13:00-07:00",
-          "2010-03-01T03:14:00-07:00",
-          "2010-03-01T03:15:00-07:00",
-          "2010-03-01T03:16:00-07:00",
-          "2010-03-01T03:17:00-07:00",
-          "2010-03-01T03:18:00-07:00",
-          "2010-03-01T03:19:00-07:00",
-          "2010-03-01T03:20:00-07:00",
-          "2010-03-01T03:21:00-07:00",
-          "2010-03-01T03:22:00-07:00",
-          "2010-03-01T03:23:00-07:00",
-          "2010-03-01T03:24:00-07:00",
-          "2010-03-01T03:25:00-07:00",
-          "2010-03-01T03:26:00-07:00",
-          "2010-03-01T03:27:00-07:00",
-          "2010-03-01T03:28:00-07:00",
-          "2010-03-01T03:29:00-07:00",
-          "2010-03-01T03:30:00-07:00",
-          "2010-03-01T03:31:00-07:00",
-          "2010-03-01T03:32:00-07:00",
-          "2010-03-01T03:33:00-07:00",
-          "2010-03-01T03:34:00-07:00",
-          "2010-03-01T03:35:00-07:00",
-          "2010-03-01T03:36:00-07:00",
-          "2010-03-01T03:37:00-07:00",
-          "2010-03-01T03:38:00-07:00",
-          "2010-03-01T03:39:00-07:00",
-          "2010-03-01T03:40:00-07:00",
-          "2010-03-01T03:41:00-07:00",
-          "2010-03-01T03:42:00-07:00",
-          "2010-03-01T03:43:00-07:00",
-          "2010-03-01T03:44:00-07:00",
-          "2010-03-01T03:45:00-07:00",
-          "2010-03-01T03:46:00-07:00",
-          "2010-03-01T03:47:00-07:00",
-          "2010-03-01T03:48:00-07:00",
-          "2010-03-01T03:49:00-07:00",
-          "2010-03-01T03:50:00-07:00",
-          "2010-03-01T03:51:00-07:00",
-          "2010-03-01T03:52:00-07:00",
-          "2010-03-01T03:53:00-07:00",
-          "2010-03-01T03:54:00-07:00",
-          "2010-03-01T03:55:00-07:00",
-          "2010-03-01T03:56:00-07:00",
-          "2010-03-01T03:57:00-07:00",
-          "2010-03-01T03:58:00-07:00",
-          "2010-03-01T03:59:00-07:00",
-          "2010-03-01T04:00:00-07:00",
-          "2010-03-01T04:01:00-07:00",
-          "2010-03-01T04:02:00-07:00",
-          "2010-03-01T04:03:00-07:00",
-          "2010-03-01T04:04:00-07:00",
-          "2010-03-01T04:05:00-07:00",
-          "2010-03-01T04:06:00-07:00",
-          "2010-03-01T04:07:00-07:00",
-          "2010-03-01T04:08:00-07:00",
-          "2010-03-01T04:09:00-07:00",
-          "2010-03-01T04:10:00-07:00",
-          "2010-03-01T04:11:00-07:00",
-          "2010-03-01T04:12:00-07:00",
-          "2010-03-01T04:13:00-07:00",
-          "2010-03-01T04:14:00-07:00",
-          "2010-03-01T04:15:00-07:00",
-          "2010-03-01T04:16:00-07:00",
-          "2010-03-01T04:17:00-07:00",
-          "2010-03-01T04:18:00-07:00",
-          "2010-03-01T04:19:00-07:00",
-          "2010-03-01T04:20:00-07:00",
-          "2010-03-01T04:21:00-07:00",
-          "2010-03-01T04:22:00-07:00",
-          "2010-03-01T04:23:00-07:00",
-          "2010-03-01T04:24:00-07:00",
-          "2010-03-01T04:25:00-07:00",
-          "2010-03-01T04:26:00-07:00",
-          "2010-03-01T04:27:00-07:00",
-          "2010-03-01T04:28:00-07:00",
-          "2010-03-01T04:29:00-07:00",
-          "2010-03-01T04:30:00-07:00",
-          "2010-03-01T04:31:00-07:00",
-          "2010-03-01T04:32:00-07:00",
-          "2010-03-01T04:33:00-07:00",
-          "2010-03-01T04:34:00-07:00",
-          "2010-03-01T04:35:00-07:00",
-          "2010-03-01T04:36:00-07:00",
-          "2010-03-01T04:37:00-07:00",
-          "2010-03-01T04:38:00-07:00",
-          "2010-03-01T04:39:00-07:00",
-          "2010-03-01T04:40:00-07:00",
-          "2010-03-01T04:41:00-07:00",
-          "2010-03-01T04:42:00-07:00",
-          "2010-03-01T04:43:00-07:00",
-          "2010-03-01T04:44:00-07:00",
-          "2010-03-01T04:45:00-07:00",
-          "2010-03-01T04:46:00-07:00",
-          "2010-03-01T04:47:00-07:00",
-          "2010-03-01T04:48:00-07:00",
-          "2010-03-01T04:49:00-07:00",
-          "2010-03-01T04:50:00-07:00",
-          "2010-03-01T04:51:00-07:00",
-          "2010-03-01T04:52:00-07:00",
-          "2010-03-01T04:53:00-07:00",
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-          "2010-03-01T04:56:00-07:00",
-          "2010-03-01T04:57:00-07:00",
-          "2010-03-01T04:58:00-07:00",
-          "2010-03-01T04:59:00-07:00",
-          "2010-03-01T05:00:00-07:00",
-          "2010-03-01T05:01:00-07:00",
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-          "2010-03-01T05:08:00-07:00",
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-          "2010-03-01T05:12:00-07:00",
-          "2010-03-01T05:13:00-07:00",
-          "2010-03-01T05:14:00-07:00",
-          "2010-03-01T05:15:00-07:00",
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-          "2010-03-01T05:17:00-07:00",
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-          "2010-03-01T05:20:00-07:00",
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-          "2010-03-01T05:24:00-07:00",
-          "2010-03-01T05:25:00-07:00",
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-          "2010-03-01T05:28:00-07:00",
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-          "2010-03-01T05:32:00-07:00",
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-          "2010-03-01T05:35:00-07:00",
-          "2010-03-01T05:36:00-07:00",
-          "2010-03-01T05:37:00-07:00",
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-          "2010-03-01T05:39:00-07:00",
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-          "2010-03-01T07:07:00-07:00",
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-          "2010-03-01T07:11:00-07:00",
-          "2010-03-01T07:12:00-07:00",
-          "2010-03-01T07:13:00-07:00",
-          "2010-03-01T07:14:00-07:00",
-          "2010-03-01T07:15:00-07:00",
-          "2010-03-01T07:16:00-07:00",
-          "2010-03-01T07:17:00-07:00",
-          "2010-03-01T07:18:00-07:00",
-          "2010-03-01T07:19:00-07:00",
-          "2010-03-01T07:20:00-07:00",
-          "2010-03-01T07:21:00-07:00",
-          "2010-03-01T07:22:00-07:00",
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-          "2010-03-01T07:24:00-07:00",
-          "2010-03-01T07:25:00-07:00",
-          "2010-03-01T07:26:00-07:00",
-          "2010-03-01T07:27:00-07:00",
-          "2010-03-01T07:28:00-07:00",
-          "2010-03-01T07:29:00-07:00",
-          "2010-03-01T07:30:00-07:00",
-          "2010-03-01T07:31:00-07:00",
-          "2010-03-01T07:32:00-07:00",
-          "2010-03-01T07:33:00-07:00",
-          "2010-03-01T07:34:00-07:00",
-          "2010-03-01T07:35:00-07:00",
-          "2010-03-01T07:36:00-07:00",
-          "2010-03-01T07:37:00-07:00",
-          "2010-03-01T07:38:00-07:00",
-          "2010-03-01T07:39:00-07:00",
-          "2010-03-01T07:40:00-07:00",
-          "2010-03-01T07:41:00-07:00",
-          "2010-03-01T07:42:00-07:00",
-          "2010-03-01T07:43:00-07:00",
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-          "2010-03-01T07:49:00-07:00",
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-          "2010-03-01T07:52:00-07:00",
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-          "2010-03-01T07:54:00-07:00",
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-          "2010-03-01T07:56:00-07:00",
-          "2010-03-01T07:57:00-07:00",
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-          "2010-03-01T07:59:00-07:00",
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-          "2010-03-01T08:58:00-07:00",
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-          "2010-03-01T09:54:00-07:00",
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-          "2010-03-01T09:56:00-07:00",
-          "2010-03-01T09:57:00-07:00",
-          "2010-03-01T09:58:00-07:00",
-          "2010-03-01T09:59:00-07:00",
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-          "2010-03-01T10:10:00-07:00",
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-          "2010-03-01T10:13:00-07:00",
-          "2010-03-01T10:14:00-07:00",
-          "2010-03-01T10:15:00-07:00",
-          "2010-03-01T10:16:00-07:00",
-          "2010-03-01T10:19:00-07:00",
-          "2010-03-01T10:20:00-07:00",
-          "2010-03-01T10:21:00-07:00",
-          "2010-03-01T10:22:00-07:00",
-          "2010-03-01T10:23:00-07:00",
-          "2010-03-01T10:27:00-07:00",
-          "2010-03-01T10:28:00-07:00",
-          "2010-03-01T10:29:00-07:00",
-          "2010-03-01T10:31:00-07:00",
-          "2010-03-01T10:32:00-07:00",
-          "2010-03-01T10:33:00-07:00",
-          "2010-03-01T10:34:00-07:00",
-          "2010-03-01T10:35:00-07:00",
-          "2010-03-01T10:37:00-07:00",
-          "2010-03-01T10:38:00-07:00",
-          "2010-03-01T10:40:00-07:00",
-          "2010-03-01T10:41:00-07:00",
-          "2010-03-01T10:42:00-07:00",
-          "2010-03-01T10:43:00-07:00",
-          "2010-03-01T10:44:00-07:00",
-          "2010-03-01T10:45:00-07:00",
-          "2010-03-01T10:46:00-07:00",
-          "2010-03-01T10:48:00-07:00",
-          "2010-03-01T10:51:00-07:00",
-          "2010-03-01T10:57:00-07:00",
-          "2010-03-01T10:58:00-07:00",
-          "2010-03-01T11:01:00-07:00",
-          "2010-03-01T11:05:00-07:00",
-          "2010-03-01T11:06:00-07:00",
-          "2010-03-01T11:07:00-07:00",
-          "2010-03-01T11:08:00-07:00",
-          "2010-03-01T11:09:00-07:00",
-          "2010-03-01T11:10:00-07:00",
-          "2010-03-01T11:13:00-07:00",
-          "2010-03-01T11:15:00-07:00",
-          "2010-03-01T11:16:00-07:00",
-          "2010-03-01T11:27:00-07:00",
-          "2010-03-01T11:29:00-07:00",
-          "2010-03-01T11:30:00-07:00",
-          "2010-03-01T11:31:00-07:00",
-          "2010-03-01T11:33:00-07:00",
-          "2010-03-01T11:34:00-07:00",
-          "2010-03-01T11:35:00-07:00",
-          "2010-03-01T11:36:00-07:00",
-          "2010-03-01T11:38:00-07:00",
-          "2010-03-01T11:40:00-07:00",
-          "2010-03-01T11:41:00-07:00",
-          "2010-03-01T11:42:00-07:00",
-          "2010-03-01T11:44:00-07:00",
-          "2010-03-01T11:45:00-07:00",
-          "2010-03-01T11:47:00-07:00",
-          "2010-03-01T11:49:00-07:00",
-          "2010-03-01T11:51:00-07:00",
-          "2010-03-01T11:52:00-07:00",
-          "2010-03-01T11:53:00-07:00",
-          "2010-03-01T11:57:00-07:00",
-          "2010-03-01T12:00:00-07:00",
-          "2010-03-01T12:01:00-07:00",
-          "2010-03-01T12:02:00-07:00",
-          "2010-03-01T12:03:00-07:00",
-          "2010-03-01T12:07:00-07:00",
-          "2010-03-01T12:08:00-07:00",
-          "2010-03-01T12:09:00-07:00",
-          "2010-03-01T12:12:00-07:00",
-          "2010-03-01T12:13:00-07:00",
-          "2010-03-01T12:14:00-07:00",
-          "2010-03-01T12:15:00-07:00",
-          "2010-03-01T12:16:00-07:00",
-          "2010-03-01T12:17:00-07:00",
-          "2010-03-01T12:19:00-07:00",
-          "2010-03-01T12:20:00-07:00",
-          "2010-03-01T12:21:00-07:00",
-          "2010-03-01T12:22:00-07:00",
-          "2010-03-01T12:23:00-07:00",
-          "2010-03-01T12:24:00-07:00",
-          "2010-03-01T12:25:00-07:00",
-          "2010-03-01T12:27:00-07:00",
-          "2010-03-01T12:28:00-07:00",
-          "2010-03-01T12:29:00-07:00",
-          "2010-03-01T12:30:00-07:00",
-          "2010-03-01T12:31:00-07:00",
-          "2010-03-01T12:34:00-07:00",
-          "2010-03-01T12:35:00-07:00",
-          "2010-03-01T12:36:00-07:00",
-          "2010-03-01T12:38:00-07:00",
-          "2010-03-01T12:39:00-07:00",
-          "2010-03-01T12:40:00-07:00",
-          "2010-03-01T12:44:00-07:00",
-          "2010-03-01T12:45:00-07:00",
-          "2010-03-01T12:46:00-07:00",
-          "2010-03-01T12:47:00-07:00",
-          "2010-03-01T12:50:00-07:00",
-          "2010-03-01T12:51:00-07:00",
-          "2010-03-01T12:52:00-07:00",
-          "2010-03-01T12:53:00-07:00",
-          "2010-03-01T12:54:00-07:00",
-          "2010-03-01T12:55:00-07:00",
-          "2010-03-01T12:56:00-07:00",
-          "2010-03-01T12:57:00-07:00",
-          "2010-03-01T13:01:00-07:00",
-          "2010-03-01T13:02:00-07:00",
-          "2010-03-01T13:03:00-07:00",
-          "2010-03-01T13:04:00-07:00",
-          "2010-03-01T13:05:00-07:00",
-          "2010-03-01T13:06:00-07:00",
-          "2010-03-01T13:07:00-07:00",
-          "2010-03-01T13:08:00-07:00",
-          "2010-03-01T13:09:00-07:00",
-          "2010-03-01T13:10:00-07:00",
-          "2010-03-01T13:11:00-07:00",
-          "2010-03-01T13:15:00-07:00",
-          "2010-03-01T13:16:00-07:00",
-          "2010-03-01T13:19:00-07:00",
-          "2010-03-01T13:20:00-07:00",
-          "2010-03-01T13:21:00-07:00",
-          "2010-03-01T13:22:00-07:00",
-          "2010-03-01T13:23:00-07:00",
-          "2010-03-01T13:26:00-07:00",
-          "2010-03-01T13:27:00-07:00",
-          "2010-03-01T13:28:00-07:00",
-          "2010-03-01T13:30:00-07:00",
-          "2010-03-01T13:31:00-07:00",
-          "2010-03-01T13:33:00-07:00",
-          "2010-03-01T13:34:00-07:00",
-          "2010-03-01T13:35:00-07:00",
-          "2010-03-01T13:39:00-07:00",
-          "2010-03-01T13:41:00-07:00",
-          "2010-03-01T13:42:00-07:00",
-          "2010-03-01T13:43:00-07:00",
-          "2010-03-01T13:44:00-07:00",
-          "2010-03-01T13:46:00-07:00",
-          "2010-03-01T13:48:00-07:00",
-          "2010-03-01T13:51:00-07:00",
-          "2010-03-01T13:53:00-07:00",
-          "2010-03-01T13:54:00-07:00",
-          "2010-03-01T13:55:00-07:00",
-          "2010-03-01T13:56:00-07:00",
-          "2010-03-01T13:57:00-07:00",
-          "2010-03-01T13:58:00-07:00",
-          "2010-03-01T13:59:00-07:00",
-          "2010-03-01T14:00:00-07:00",
-          "2010-03-01T14:01:00-07:00",
-          "2010-03-01T14:02:00-07:00",
-          "2010-03-01T14:03:00-07:00",
-          "2010-03-01T14:04:00-07:00",
-          "2010-03-01T14:05:00-07:00",
-          "2010-03-01T14:06:00-07:00",
-          "2010-03-01T14:07:00-07:00",
-          "2010-03-01T14:08:00-07:00",
-          "2010-03-01T14:09:00-07:00",
-          "2010-03-01T14:10:00-07:00",
-          "2010-03-01T14:11:00-07:00",
-          "2010-03-01T14:12:00-07:00",
-          "2010-03-01T14:13:00-07:00",
-          "2010-03-01T14:14:00-07:00",
-          "2010-03-01T14:15:00-07:00",
-          "2010-03-01T14:16:00-07:00",
-          "2010-03-01T14:17:00-07:00",
-          "2010-03-01T14:18:00-07:00",
-          "2010-03-01T14:19:00-07:00",
-          "2010-03-01T14:20:00-07:00",
-          "2010-03-01T14:21:00-07:00",
-          "2010-03-01T14:22:00-07:00",
-          "2010-03-01T14:23:00-07:00",
-          "2010-03-01T14:24:00-07:00",
-          "2010-03-01T14:25:00-07:00",
-          "2010-03-01T14:26:00-07:00",
-          "2010-03-01T14:27:00-07:00",
-          "2010-03-01T14:28:00-07:00",
-          "2010-03-01T14:29:00-07:00",
-          "2010-03-01T14:30:00-07:00",
-          "2010-03-01T14:31:00-07:00",
-          "2010-03-01T14:32:00-07:00",
-          "2010-03-01T14:33:00-07:00",
-          "2010-03-01T14:34:00-07:00",
-          "2010-03-01T14:35:00-07:00",
-          "2010-03-01T14:36:00-07:00",
-          "2010-03-01T14:37:00-07:00",
-          "2010-03-01T14:38:00-07:00",
-          "2010-03-01T14:41:00-07:00",
-          "2010-03-01T14:42:00-07:00",
-          "2010-03-01T14:43:00-07:00",
-          "2010-03-01T14:44:00-07:00",
-          "2010-03-01T14:45:00-07:00",
-          "2010-03-01T14:46:00-07:00",
-          "2010-03-01T14:47:00-07:00",
-          "2010-03-01T14:48:00-07:00",
-          "2010-03-01T14:49:00-07:00",
-          "2010-03-01T14:50:00-07:00",
-          "2010-03-01T14:51:00-07:00",
-          "2010-03-01T14:52:00-07:00",
-          "2010-03-01T14:53:00-07:00",
-          "2010-03-01T14:54:00-07:00",
-          "2010-03-01T14:55:00-07:00",
-          "2010-03-01T14:56:00-07:00",
-          "2010-03-01T14:57:00-07:00",
-          "2010-03-01T14:58:00-07:00",
-          "2010-03-01T14:59:00-07:00",
-          "2010-03-01T15:00:00-07:00",
-          "2010-03-01T15:01:00-07:00",
-          "2010-03-01T15:02:00-07:00",
-          "2010-03-01T15:03:00-07:00",
-          "2010-03-01T15:04:00-07:00",
-          "2010-03-01T15:05:00-07:00",
-          "2010-03-01T15:06:00-07:00",
-          "2010-03-01T15:07:00-07:00",
-          "2010-03-01T15:08:00-07:00",
-          "2010-03-01T15:09:00-07:00",
-          "2010-03-01T15:10:00-07:00",
-          "2010-03-01T15:11:00-07:00",
-          "2010-03-01T15:12:00-07:00",
-          "2010-03-01T15:13:00-07:00",
-          "2010-03-01T15:14:00-07:00",
-          "2010-03-01T15:15:00-07:00",
-          "2010-03-01T15:16:00-07:00",
-          "2010-03-01T15:17:00-07:00",
-          "2010-03-01T15:18:00-07:00",
-          "2010-03-01T15:19:00-07:00",
-          "2010-03-01T15:20:00-07:00",
-          "2010-03-01T15:21:00-07:00",
-          "2010-03-01T15:22:00-07:00",
-          "2010-03-01T15:23:00-07:00",
-          "2010-03-01T15:24:00-07:00",
-          "2010-03-01T15:25:00-07:00",
-          "2010-03-01T15:26:00-07:00",
-          "2010-03-01T15:27:00-07:00",
-          "2010-03-01T15:28:00-07:00",
-          "2010-03-01T15:29:00-07:00",
-          "2010-03-01T15:30:00-07:00",
-          "2010-03-01T15:31:00-07:00",
-          "2010-03-01T15:32:00-07:00",
-          "2010-03-01T15:33:00-07:00",
-          "2010-03-01T15:34:00-07:00",
-          "2010-03-01T15:35:00-07:00",
-          "2010-03-01T15:36:00-07:00",
-          "2010-03-01T15:37:00-07:00",
-          "2010-03-01T15:38:00-07:00",
-          "2010-03-01T15:39:00-07:00",
-          "2010-03-01T15:40:00-07:00",
-          "2010-03-01T15:41:00-07:00",
-          "2010-03-01T15:42:00-07:00",
-          "2010-03-01T15:43:00-07:00",
-          "2010-03-01T15:44:00-07:00",
-          "2010-03-01T15:45:00-07:00",
-          "2010-03-01T15:46:00-07:00",
-          "2010-03-01T15:47:00-07:00",
-          "2010-03-01T15:48:00-07:00",
-          "2010-03-01T15:49:00-07:00",
-          "2010-03-01T15:50:00-07:00",
-          "2010-03-01T15:51:00-07:00",
-          "2010-03-01T15:52:00-07:00",
-          "2010-03-01T15:53:00-07:00",
-          "2010-03-01T15:54:00-07:00",
-          "2010-03-01T15:55:00-07:00",
-          "2010-03-01T15:56:00-07:00",
-          "2010-03-01T15:57:00-07:00",
-          "2010-03-01T15:58:00-07:00",
-          "2010-03-01T15:59:00-07:00",
-          "2010-03-01T16:00:00-07:00",
-          "2010-03-01T16:01:00-07:00",
-          "2010-03-01T16:02:00-07:00",
-          "2010-03-01T16:03:00-07:00",
-          "2010-03-01T16:04:00-07:00",
-          "2010-03-01T16:05:00-07:00",
-          "2010-03-01T16:06:00-07:00",
-          "2010-03-01T16:07:00-07:00",
-          "2010-03-01T16:08:00-07:00",
-          "2010-03-01T16:09:00-07:00",
-          "2010-03-01T16:10:00-07:00",
-          "2010-03-01T16:11:00-07:00",
-          "2010-03-01T16:12:00-07:00",
-          "2010-03-01T16:13:00-07:00",
-          "2010-03-01T16:14:00-07:00",
-          "2010-03-01T16:15:00-07:00",
-          "2010-03-01T16:16:00-07:00",
-          "2010-03-01T16:17:00-07:00",
-          "2010-03-01T16:18:00-07:00",
-          "2010-03-01T16:19:00-07:00",
-          "2010-03-01T16:20:00-07:00",
-          "2010-03-01T16:21:00-07:00",
-          "2010-03-01T16:22:00-07:00",
-          "2010-03-01T16:23:00-07:00",
-          "2010-03-01T16:24:00-07:00",
-          "2010-03-01T16:25:00-07:00",
-          "2010-03-01T16:26:00-07:00",
-          "2010-03-01T16:27:00-07:00",
-          "2010-03-01T16:28:00-07:00",
-          "2010-03-01T16:29:00-07:00",
-          "2010-03-01T16:30:00-07:00",
-          "2010-03-01T16:31:00-07:00",
-          "2010-03-01T16:32:00-07:00",
-          "2010-03-01T16:33:00-07:00",
-          "2010-03-01T16:34:00-07:00",
-          "2010-03-01T16:35:00-07:00",
-          "2010-03-01T16:36:00-07:00",
-          "2010-03-01T16:37:00-07:00",
-          "2010-03-01T16:38:00-07:00",
-          "2010-03-01T16:39:00-07:00",
-          "2010-03-01T16:40:00-07:00",
-          "2010-03-01T16:41:00-07:00",
-          "2010-03-01T16:42:00-07:00",
-          "2010-03-01T16:43:00-07:00",
-          "2010-03-01T16:44:00-07:00",
-          "2010-03-01T16:45:00-07:00",
-          "2010-03-01T16:46:00-07:00",
-          "2010-03-01T16:47:00-07:00",
-          "2010-03-01T16:48:00-07:00",
-          "2010-03-01T16:49:00-07:00",
-          "2010-03-01T16:50:00-07:00",
-          "2010-03-01T16:51:00-07:00",
-          "2010-03-01T16:52:00-07:00",
-          "2010-03-01T16:53:00-07:00",
-          "2010-03-01T16:54:00-07:00",
-          "2010-03-01T16:55:00-07:00",
-          "2010-03-01T16:56:00-07:00",
-          "2010-03-01T16:57:00-07:00",
-          "2010-03-01T16:58:00-07:00",
-          "2010-03-01T16:59:00-07:00",
-          "2010-03-01T17:00:00-07:00",
-          "2010-03-01T17:01:00-07:00",
-          "2010-03-01T17:02:00-07:00",
-          "2010-03-01T17:03:00-07:00",
-          "2010-03-01T17:04:00-07:00",
-          "2010-03-01T17:05:00-07:00",
-          "2010-03-01T17:06:00-07:00",
-          "2010-03-01T17:07:00-07:00",
-          "2010-03-01T17:08:00-07:00",
-          "2010-03-01T17:09:00-07:00",
-          "2010-03-01T17:10:00-07:00",
-          "2010-03-01T17:11:00-07:00",
-          "2010-03-01T17:12:00-07:00",
-          "2010-03-01T17:13:00-07:00",
-          "2010-03-01T17:14:00-07:00",
-          "2010-03-01T17:15:00-07:00",
-          "2010-03-01T17:16:00-07:00",
-          "2010-03-01T17:17:00-07:00",
-          "2010-03-01T17:18:00-07:00",
-          "2010-03-01T17:19:00-07:00",
-          "2010-03-01T17:20:00-07:00",
-          "2010-03-01T17:21:00-07:00",
-          "2010-03-01T17:22:00-07:00",
-          "2010-03-01T17:23:00-07:00",
-          "2010-03-01T17:24:00-07:00",
-          "2010-03-01T17:25:00-07:00",
-          "2010-03-01T17:26:00-07:00",
-          "2010-03-01T17:27:00-07:00",
-          "2010-03-01T17:28:00-07:00",
-          "2010-03-01T17:29:00-07:00",
-          "2010-03-01T17:30:00-07:00",
-          "2010-03-01T17:31:00-07:00",
-          "2010-03-01T17:32:00-07:00",
-          "2010-03-01T17:33:00-07:00",
-          "2010-03-01T17:34:00-07:00",
-          "2010-03-01T17:35:00-07:00",
-          "2010-03-01T17:36:00-07:00",
-          "2010-03-01T17:37:00-07:00",
-          "2010-03-01T17:38:00-07:00",
-          "2010-03-01T17:39:00-07:00",
-          "2010-03-01T17:40:00-07:00",
-          "2010-03-01T17:41:00-07:00",
-          "2010-03-01T17:42:00-07:00",
-          "2010-03-01T17:43:00-07:00",
-          "2010-03-01T17:44:00-07:00",
-          "2010-03-01T17:45:00-07:00",
-          "2010-03-01T17:46:00-07:00",
-          "2010-03-01T17:47:00-07:00",
-          "2010-03-01T17:48:00-07:00",
-          "2010-03-01T17:49:00-07:00",
-          "2010-03-01T17:50:00-07:00",
-          "2010-03-01T17:51:00-07:00",
-          "2010-03-01T17:52:00-07:00",
-          "2010-03-01T17:53:00-07:00",
-          "2010-03-01T17:54:00-07:00",
-          "2010-03-01T17:55:00-07:00",
-          "2010-03-01T17:56:00-07:00",
-          "2010-03-01T17:57:00-07:00",
-          "2010-03-01T17:58:00-07:00",
-          "2010-03-01T17:59:00-07:00",
-          "2010-03-01T18:00:00-07:00",
-          "2010-03-01T18:01:00-07:00",
-          "2010-03-01T18:02:00-07:00",
-          "2010-03-01T18:03:00-07:00",
-          "2010-03-01T18:04:00-07:00",
-          "2010-03-01T18:05:00-07:00",
-          "2010-03-01T18:06:00-07:00",
-          "2010-03-01T18:07:00-07:00",
-          "2010-03-01T18:08:00-07:00",
-          "2010-03-01T18:09:00-07:00",
-          "2010-03-01T18:10:00-07:00",
-          "2010-03-01T18:11:00-07:00",
-          "2010-03-01T18:12:00-07:00",
-          "2010-03-01T18:13:00-07:00",
-          "2010-03-01T18:14:00-07:00",
-          "2010-03-01T18:15:00-07:00",
-          "2010-03-01T18:16:00-07:00",
-          "2010-03-01T18:17:00-07:00",
-          "2010-03-01T18:18:00-07:00",
-          "2010-03-01T18:19:00-07:00",
-          "2010-03-01T18:20:00-07:00",
-          "2010-03-01T18:21:00-07:00",
-          "2010-03-01T18:22:00-07:00",
-          "2010-03-01T18:23:00-07:00",
-          "2010-03-01T18:24:00-07:00",
-          "2010-03-01T18:25:00-07:00",
-          "2010-03-01T18:26:00-07:00",
-          "2010-03-01T18:27:00-07:00",
-          "2010-03-01T18:28:00-07:00",
-          "2010-03-01T18:29:00-07:00",
-          "2010-03-01T18:30:00-07:00",
-          "2010-03-01T18:31:00-07:00",
-          "2010-03-01T18:32:00-07:00",
-          "2010-03-01T18:33:00-07:00",
-          "2010-03-01T18:34:00-07:00",
-          "2010-03-01T18:35:00-07:00",
-          "2010-03-01T18:36:00-07:00",
-          "2010-03-01T18:37:00-07:00",
-          "2010-03-01T18:38:00-07:00",
-          "2010-03-01T18:39:00-07:00",
-          "2010-03-01T18:40:00-07:00",
-          "2010-03-01T18:41:00-07:00",
-          "2010-03-01T18:42:00-07:00",
-          "2010-03-01T18:43:00-07:00",
-          "2010-03-01T18:44:00-07:00",
-          "2010-03-01T18:45:00-07:00",
-          "2010-03-01T18:46:00-07:00",
-          "2010-03-01T18:47:00-07:00",
-          "2010-03-01T18:48:00-07:00",
-          "2010-03-01T18:49:00-07:00",
-          "2010-03-01T18:50:00-07:00",
-          "2010-03-01T18:51:00-07:00",
-          "2010-03-01T18:52:00-07:00",
-          "2010-03-01T18:53:00-07:00",
-          "2010-03-01T18:54:00-07:00",
-          "2010-03-01T18:55:00-07:00",
-          "2010-03-01T18:56:00-07:00",
-          "2010-03-01T18:57:00-07:00",
-          "2010-03-01T18:58:00-07:00",
-          "2010-03-01T18:59:00-07:00",
-          "2010-03-01T19:00:00-07:00",
-          "2010-03-01T19:01:00-07:00",
-          "2010-03-01T19:02:00-07:00",
-          "2010-03-01T19:03:00-07:00",
-          "2010-03-01T19:04:00-07:00",
-          "2010-03-01T19:05:00-07:00",
-          "2010-03-01T19:06:00-07:00",
-          "2010-03-01T19:07:00-07:00",
-          "2010-03-01T19:08:00-07:00",
-          "2010-03-01T19:09:00-07:00",
-          "2010-03-01T19:10:00-07:00",
-          "2010-03-01T19:11:00-07:00",
-          "2010-03-01T19:12:00-07:00",
-          "2010-03-01T19:13:00-07:00",
-          "2010-03-01T19:14:00-07:00",
-          "2010-03-01T19:15:00-07:00",
-          "2010-03-01T19:16:00-07:00",
-          "2010-03-01T19:17:00-07:00",
-          "2010-03-01T19:18:00-07:00",
-          "2010-03-01T19:19:00-07:00",
-          "2010-03-01T19:20:00-07:00",
-          "2010-03-01T19:21:00-07:00",
-          "2010-03-01T19:22:00-07:00",
-          "2010-03-01T19:23:00-07:00",
-          "2010-03-01T19:24:00-07:00",
-          "2010-03-01T19:25:00-07:00",
-          "2010-03-01T19:26:00-07:00",
-          "2010-03-01T19:27:00-07:00",
-          "2010-03-01T19:28:00-07:00",
-          "2010-03-01T19:29:00-07:00",
-          "2010-03-01T19:30:00-07:00",
-          "2010-03-01T19:31:00-07:00",
-          "2010-03-01T19:32:00-07:00",
-          "2010-03-01T19:33:00-07:00",
-          "2010-03-01T19:34:00-07:00",
-          "2010-03-01T19:35:00-07:00",
-          "2010-03-01T19:36:00-07:00",
-          "2010-03-01T19:37:00-07:00",
-          "2010-03-01T19:38:00-07:00",
-          "2010-03-01T19:39:00-07:00",
-          "2010-03-01T19:40:00-07:00",
-          "2010-03-01T19:41:00-07:00",
-          "2010-03-01T19:42:00-07:00",
-          "2010-03-01T19:43:00-07:00",
-          "2010-03-01T19:44:00-07:00",
-          "2010-03-01T19:45:00-07:00",
-          "2010-03-01T19:46:00-07:00",
-          "2010-03-01T19:47:00-07:00",
-          "2010-03-01T19:48:00-07:00",
-          "2010-03-01T19:49:00-07:00",
-          "2010-03-01T19:50:00-07:00",
-          "2010-03-01T19:51:00-07:00",
-          "2010-03-01T19:52:00-07:00",
-          "2010-03-01T19:53:00-07:00",
-          "2010-03-01T19:54:00-07:00",
-          "2010-03-01T19:55:00-07:00",
-          "2010-03-01T19:56:00-07:00",
-          "2010-03-01T19:57:00-07:00",
-          "2010-03-01T19:58:00-07:00",
-          "2010-03-01T19:59:00-07:00",
-          "2010-03-01T20:00:00-07:00",
-          "2010-03-01T20:01:00-07:00",
-          "2010-03-01T20:02:00-07:00",
-          "2010-03-01T20:03:00-07:00",
-          "2010-03-01T20:04:00-07:00",
-          "2010-03-01T20:05:00-07:00",
-          "2010-03-01T20:06:00-07:00",
-          "2010-03-01T20:07:00-07:00",
-          "2010-03-01T20:08:00-07:00",
-          "2010-03-01T20:09:00-07:00",
-          "2010-03-01T20:10:00-07:00",
-          "2010-03-01T20:11:00-07:00",
-          "2010-03-01T20:12:00-07:00",
-          "2010-03-01T20:13:00-07:00",
-          "2010-03-01T20:14:00-07:00",
-          "2010-03-01T20:15:00-07:00",
-          "2010-03-01T20:16:00-07:00",
-          "2010-03-01T20:17:00-07:00",
-          "2010-03-01T20:18:00-07:00",
-          "2010-03-01T20:19:00-07:00",
-          "2010-03-01T20:20:00-07:00",
-          "2010-03-01T20:21:00-07:00",
-          "2010-03-01T20:22:00-07:00",
-          "2010-03-01T20:23:00-07:00",
-          "2010-03-01T20:24:00-07:00",
-          "2010-03-01T20:25:00-07:00",
-          "2010-03-01T20:26:00-07:00",
-          "2010-03-01T20:27:00-07:00",
-          "2010-03-01T20:28:00-07:00",
-          "2010-03-01T20:29:00-07:00",
-          "2010-03-01T20:30:00-07:00",
-          "2010-03-01T20:31:00-07:00",
-          "2010-03-01T20:32:00-07:00",
-          "2010-03-01T20:33:00-07:00",
-          "2010-03-01T20:34:00-07:00",
-          "2010-03-01T20:35:00-07:00",
-          "2010-03-01T20:36:00-07:00",
-          "2010-03-01T20:37:00-07:00",
-          "2010-03-01T20:38:00-07:00",
-          "2010-03-01T20:39:00-07:00",
-          "2010-03-01T20:40:00-07:00",
-          "2010-03-01T20:41:00-07:00",
-          "2010-03-01T20:42:00-07:00",
-          "2010-03-01T20:43:00-07:00",
-          "2010-03-01T20:44:00-07:00",
-          "2010-03-01T20:45:00-07:00",
-          "2010-03-01T20:46:00-07:00",
-          "2010-03-01T20:47:00-07:00",
-          "2010-03-01T20:48:00-07:00",
-          "2010-03-01T20:49:00-07:00",
-          "2010-03-01T20:50:00-07:00",
-          "2010-03-01T20:51:00-07:00",
-          "2010-03-01T20:52:00-07:00",
-          "2010-03-01T20:53:00-07:00",
-          "2010-03-01T20:54:00-07:00",
-          "2010-03-01T20:55:00-07:00",
-          "2010-03-01T20:56:00-07:00",
-          "2010-03-01T20:57:00-07:00",
-          "2010-03-01T20:58:00-07:00",
-          "2010-03-01T20:59:00-07:00",
-          "2010-03-01T21:00:00-07:00",
-          "2010-03-01T21:01:00-07:00",
-          "2010-03-01T21:02:00-07:00",
-          "2010-03-01T21:03:00-07:00",
-          "2010-03-01T21:04:00-07:00",
-          "2010-03-01T21:05:00-07:00",
-          "2010-03-01T21:06:00-07:00",
-          "2010-03-01T21:07:00-07:00",
-          "2010-03-01T21:08:00-07:00",
-          "2010-03-01T21:09:00-07:00",
-          "2010-03-01T21:10:00-07:00",
-          "2010-03-01T21:11:00-07:00",
-          "2010-03-01T21:12:00-07:00",
-          "2010-03-01T21:13:00-07:00",
-          "2010-03-01T21:14:00-07:00",
-          "2010-03-01T21:15:00-07:00",
-          "2010-03-01T21:16:00-07:00",
-          "2010-03-01T21:17:00-07:00",
-          "2010-03-01T21:18:00-07:00",
-          "2010-03-01T21:19:00-07:00",
-          "2010-03-01T21:20:00-07:00",
-          "2010-03-01T21:21:00-07:00",
-          "2010-03-01T21:22:00-07:00",
-          "2010-03-01T21:23:00-07:00",
-          "2010-03-01T21:24:00-07:00",
-          "2010-03-01T21:25:00-07:00",
-          "2010-03-01T21:26:00-07:00",
-          "2010-03-01T21:27:00-07:00",
-          "2010-03-01T21:28:00-07:00",
-          "2010-03-01T21:29:00-07:00",
-          "2010-03-01T21:30:00-07:00",
-          "2010-03-01T21:31:00-07:00",
-          "2010-03-01T21:32:00-07:00",
-          "2010-03-01T21:33:00-07:00",
-          "2010-03-01T21:34:00-07:00",
-          "2010-03-01T21:35:00-07:00",
-          "2010-03-01T21:36:00-07:00",
-          "2010-03-01T21:37:00-07:00",
-          "2010-03-01T21:38:00-07:00",
-          "2010-03-01T21:39:00-07:00",
-          "2010-03-01T21:40:00-07:00",
-          "2010-03-01T21:41:00-07:00",
-          "2010-03-01T21:42:00-07:00",
-          "2010-03-01T21:43:00-07:00",
-          "2010-03-01T21:44:00-07:00",
-          "2010-03-01T21:45:00-07:00",
-          "2010-03-01T21:46:00-07:00",
-          "2010-03-01T21:47:00-07:00",
-          "2010-03-01T21:48:00-07:00",
-          "2010-03-01T21:49:00-07:00",
-          "2010-03-01T21:50:00-07:00",
-          "2010-03-01T21:51:00-07:00",
-          "2010-03-01T21:52:00-07:00",
-          "2010-03-01T21:53:00-07:00",
-          "2010-03-01T21:54:00-07:00",
-          "2010-03-01T21:55:00-07:00",
-          "2010-03-01T21:56:00-07:00",
-          "2010-03-01T21:57:00-07:00",
-          "2010-03-01T21:58:00-07:00",
-          "2010-03-01T21:59:00-07:00",
-          "2010-03-01T22:00:00-07:00",
-          "2010-03-01T22:01:00-07:00",
-          "2010-03-01T22:02:00-07:00",
-          "2010-03-01T22:03:00-07:00",
-          "2010-03-01T22:04:00-07:00",
-          "2010-03-01T22:05:00-07:00",
-          "2010-03-01T22:06:00-07:00",
-          "2010-03-01T22:07:00-07:00",
-          "2010-03-01T22:08:00-07:00",
-          "2010-03-01T22:09:00-07:00",
-          "2010-03-01T22:10:00-07:00",
-          "2010-03-01T22:11:00-07:00",
-          "2010-03-01T22:12:00-07:00",
-          "2010-03-01T22:13:00-07:00",
-          "2010-03-01T22:14:00-07:00",
-          "2010-03-01T22:15:00-07:00",
-          "2010-03-01T22:16:00-07:00",
-          "2010-03-01T22:17:00-07:00",
-          "2010-03-01T22:18:00-07:00",
-          "2010-03-01T22:19:00-07:00",
-          "2010-03-01T22:20:00-07:00",
-          "2010-03-01T22:21:00-07:00",
-          "2010-03-01T22:22:00-07:00",
-          "2010-03-01T22:23:00-07:00",
-          "2010-03-01T22:24:00-07:00",
-          "2010-03-01T22:25:00-07:00",
-          "2010-03-01T22:26:00-07:00",
-          "2010-03-01T22:27:00-07:00",
-          "2010-03-01T22:28:00-07:00",
-          "2010-03-01T22:29:00-07:00",
-          "2010-03-01T22:30:00-07:00",
-          "2010-03-01T22:31:00-07:00",
-          "2010-03-01T22:32:00-07:00",
-          "2010-03-01T22:33:00-07:00",
-          "2010-03-01T22:34:00-07:00",
-          "2010-03-01T22:35:00-07:00",
-          "2010-03-01T22:36:00-07:00",
-          "2010-03-01T22:37:00-07:00",
-          "2010-03-01T22:38:00-07:00",
-          "2010-03-01T22:39:00-07:00",
-          "2010-03-01T22:40:00-07:00",
-          "2010-03-01T22:41:00-07:00",
-          "2010-03-01T22:42:00-07:00",
-          "2010-03-01T22:43:00-07:00",
-          "2010-03-01T22:44:00-07:00",
-          "2010-03-01T22:45:00-07:00",
-          "2010-03-01T22:46:00-07:00",
-          "2010-03-01T22:47:00-07:00",
-          "2010-03-01T22:48:00-07:00",
-          "2010-03-01T22:49:00-07:00",
-          "2010-03-01T22:50:00-07:00",
-          "2010-03-01T22:51:00-07:00",
-          "2010-03-01T22:52:00-07:00",
-          "2010-03-01T22:53:00-07:00",
-          "2010-03-01T22:54:00-07:00",
-          "2010-03-01T22:55:00-07:00",
-          "2010-03-01T22:56:00-07:00",
-          "2010-03-01T22:57:00-07:00",
-          "2010-03-01T22:58:00-07:00",
-          "2010-03-01T22:59:00-07:00",
-          "2010-03-01T23:00:00-07:00",
-          "2010-03-01T23:01:00-07:00",
-          "2010-03-01T23:02:00-07:00",
-          "2010-03-01T23:03:00-07:00",
-          "2010-03-01T23:04:00-07:00",
-          "2010-03-01T23:05:00-07:00",
-          "2010-03-01T23:06:00-07:00",
-          "2010-03-01T23:07:00-07:00",
-          "2010-03-01T23:08:00-07:00",
-          "2010-03-01T23:09:00-07:00",
-          "2010-03-01T23:10:00-07:00",
-          "2010-03-01T23:11:00-07:00",
-          "2010-03-01T23:12:00-07:00",
-          "2010-03-01T23:13:00-07:00",
-          "2010-03-01T23:14:00-07:00",
-          "2010-03-01T23:15:00-07:00",
-          "2010-03-01T23:16:00-07:00",
-          "2010-03-01T23:17:00-07:00",
-          "2010-03-01T23:18:00-07:00",
-          "2010-03-01T23:19:00-07:00",
-          "2010-03-01T23:20:00-07:00",
-          "2010-03-01T23:21:00-07:00",
-          "2010-03-01T23:22:00-07:00",
-          "2010-03-01T23:23:00-07:00",
-          "2010-03-01T23:24:00-07:00",
-          "2010-03-01T23:25:00-07:00",
-          "2010-03-01T23:26:00-07:00",
-          "2010-03-01T23:27:00-07:00",
-          "2010-03-01T23:28:00-07:00",
-          "2010-03-01T23:29:00-07:00",
-          "2010-03-01T23:30:00-07:00",
-          "2010-03-01T23:31:00-07:00",
-          "2010-03-01T23:32:00-07:00",
-          "2010-03-01T23:33:00-07:00",
-          "2010-03-01T23:34:00-07:00",
-          "2010-03-01T23:35:00-07:00",
-          "2010-03-01T23:36:00-07:00",
-          "2010-03-01T23:37:00-07:00",
-          "2010-03-01T23:38:00-07:00",
-          "2010-03-01T23:39:00-07:00",
-          "2010-03-01T23:40:00-07:00",
-          "2010-03-01T23:41:00-07:00",
-          "2010-03-01T23:42:00-07:00",
-          "2010-03-01T23:43:00-07:00",
-          "2010-03-01T23:44:00-07:00",
-          "2010-03-01T23:45:00-07:00",
-          "2010-03-01T23:46:00-07:00",
-          "2010-03-01T23:47:00-07:00",
-          "2010-03-01T23:48:00-07:00",
-          "2010-03-01T23:49:00-07:00",
-          "2010-03-01T23:50:00-07:00",
-          "2010-03-01T23:51:00-07:00",
-          "2010-03-01T23:52:00-07:00",
-          "2010-03-01T23:53:00-07:00",
-          "2010-03-01T23:54:00-07:00",
-          "2010-03-01T23:55:00-07:00",
-          "2010-03-01T23:56:00-07:00",
-          "2010-03-01T23:57:00-07:00",
-          "2010-03-01T23:58:00-07:00",
-          "2010-03-01T23:59:00-07:00",
-          "2010-03-02T00:00:00-07:00",
-          "2010-03-02T00:01:00-07:00",
-          "2010-03-02T00:02:00-07:00",
-          "2010-03-02T00:03:00-07:00",
-          "2010-03-02T00:04:00-07:00",
-          "2010-03-02T00:05:00-07:00",
-          "2010-03-02T00:06:00-07:00",
-          "2010-03-02T00:07:00-07:00",
-          "2010-03-02T00:08:00-07:00",
-          "2010-03-02T00:09:00-07:00",
-          "2010-03-02T00:10:00-07:00",
-          "2010-03-02T00:11:00-07:00",
-          "2010-03-02T00:12:00-07:00",
-          "2010-03-02T00:13:00-07:00",
-          "2010-03-02T00:14:00-07:00",
-          "2010-03-02T00:15:00-07:00",
-          "2010-03-02T00:16:00-07:00",
-          "2010-03-02T00:17:00-07:00",
-          "2010-03-02T00:18:00-07:00",
-          "2010-03-02T00:19:00-07:00",
-          "2010-03-02T00:20:00-07:00",
-          "2010-03-02T00:21:00-07:00",
-          "2010-03-02T00:22:00-07:00",
-          "2010-03-02T00:23:00-07:00",
-          "2010-03-02T00:24:00-07:00",
-          "2010-03-02T00:25:00-07:00",
-          "2010-03-02T00:26:00-07:00",
-          "2010-03-02T00:27:00-07:00",
-          "2010-03-02T00:28:00-07:00",
-          "2010-03-02T00:29:00-07:00",
-          "2010-03-02T00:30:00-07:00",
-          "2010-03-02T00:31:00-07:00",
-          "2010-03-02T00:32:00-07:00",
-          "2010-03-02T00:33:00-07:00",
-          "2010-03-02T00:34:00-07:00",
-          "2010-03-02T00:35:00-07:00",
-          "2010-03-02T00:36:00-07:00",
-          "2010-03-02T00:37:00-07:00",
-          "2010-03-02T00:38:00-07:00",
-          "2010-03-02T00:39:00-07:00",
-          "2010-03-02T00:40:00-07:00",
-          "2010-03-02T00:41:00-07:00",
-          "2010-03-02T00:42:00-07:00",
-          "2010-03-02T00:43:00-07:00",
-          "2010-03-02T00:44:00-07:00",
-          "2010-03-02T00:45:00-07:00",
-          "2010-03-02T00:46:00-07:00",
-          "2010-03-02T00:47:00-07:00",
-          "2010-03-02T00:48:00-07:00",
-          "2010-03-02T00:49:00-07:00",
-          "2010-03-02T00:50:00-07:00",
-          "2010-03-02T00:51:00-07:00",
-          "2010-03-02T00:52:00-07:00",
-          "2010-03-02T00:53:00-07:00",
-          "2010-03-02T00:54:00-07:00",
-          "2010-03-02T00:55:00-07:00",
-          "2010-03-02T00:56:00-07:00",
-          "2010-03-02T00:57:00-07:00",
-          "2010-03-02T00:58:00-07:00",
-          "2010-03-02T00:59:00-07:00",
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-          "2010-03-02T01:03:00-07:00",
-          "2010-03-02T01:04:00-07:00",
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-          "2010-03-02T01:06:00-07:00",
-          "2010-03-02T01:07:00-07:00",
-          "2010-03-02T01:08:00-07:00",
-          "2010-03-02T01:09:00-07:00",
-          "2010-03-02T01:10:00-07:00",
-          "2010-03-02T01:11:00-07:00",
-          "2010-03-02T01:12:00-07:00",
-          "2010-03-02T01:13:00-07:00",
-          "2010-03-02T01:14:00-07:00",
-          "2010-03-02T01:15:00-07:00",
-          "2010-03-02T01:16:00-07:00",
-          "2010-03-02T01:17:00-07:00",
-          "2010-03-02T01:18:00-07:00",
-          "2010-03-02T01:19:00-07:00",
-          "2010-03-02T01:20:00-07:00",
-          "2010-03-02T01:21:00-07:00",
-          "2010-03-02T01:22:00-07:00",
-          "2010-03-02T01:23:00-07:00",
-          "2010-03-02T01:24:00-07:00",
-          "2010-03-02T01:25:00-07:00",
-          "2010-03-02T01:26:00-07:00",
-          "2010-03-02T01:27:00-07:00",
-          "2010-03-02T01:28:00-07:00",
-          "2010-03-02T01:29:00-07:00",
-          "2010-03-02T01:30:00-07:00",
-          "2010-03-02T01:31:00-07:00",
-          "2010-03-02T01:32:00-07:00",
-          "2010-03-02T01:33:00-07:00",
-          "2010-03-02T01:34:00-07:00",
-          "2010-03-02T01:35:00-07:00",
-          "2010-03-02T01:36:00-07:00",
-          "2010-03-02T01:37:00-07:00",
-          "2010-03-02T01:38:00-07:00",
-          "2010-03-02T01:39:00-07:00",
-          "2010-03-02T01:40:00-07:00",
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-          "2010-03-02T01:42:00-07:00",
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-          "2010-03-02T01:52:00-07:00",
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-          "2010-03-02T01:54:00-07:00",
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-          "2010-03-02T01:57:00-07:00",
-          "2010-03-02T01:58:00-07:00",
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-          "2010-03-02T02:13:00-07:00",
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-          "2010-03-02T04:38:00-07:00",
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-          "2010-03-02T07:08:00-07:00",
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-          "2010-03-02T07:11:00-07:00",
-          "2010-03-02T07:12:00-07:00",
-          "2010-03-02T07:13:00-07:00",
-          "2010-03-02T07:14:00-07:00",
-          "2010-03-02T07:15:00-07:00",
-          "2010-03-02T07:16:00-07:00",
-          "2010-03-02T07:17:00-07:00",
-          "2010-03-02T07:18:00-07:00",
-          "2010-03-02T07:19:00-07:00",
-          "2010-03-02T07:20:00-07:00",
-          "2010-03-02T07:21:00-07:00",
-          "2010-03-02T07:22:00-07:00",
-          "2010-03-02T07:23:00-07:00",
-          "2010-03-02T07:24:00-07:00",
-          "2010-03-02T07:25:00-07:00",
-          "2010-03-02T07:26:00-07:00",
-          "2010-03-02T07:27:00-07:00",
-          "2010-03-02T07:28:00-07:00",
-          "2010-03-02T07:29:00-07:00",
-          "2010-03-02T07:30:00-07:00",
-          "2010-03-02T07:31:00-07:00",
-          "2010-03-02T07:32:00-07:00",
-          "2010-03-02T07:33:00-07:00",
-          "2010-03-02T07:34:00-07:00",
-          "2010-03-02T07:35:00-07:00",
-          "2010-03-02T07:36:00-07:00",
-          "2010-03-02T07:37:00-07:00",
-          "2010-03-02T07:38:00-07:00",
-          "2010-03-02T07:39:00-07:00",
-          "2010-03-02T07:40:00-07:00",
-          "2010-03-02T07:41:00-07:00",
-          "2010-03-02T07:42:00-07:00",
-          "2010-03-02T07:43:00-07:00",
-          "2010-03-02T07:44:00-07:00",
-          "2010-03-02T07:45:00-07:00",
-          "2010-03-02T07:46:00-07:00",
-          "2010-03-02T07:47:00-07:00",
-          "2010-03-02T07:48:00-07:00",
-          "2010-03-02T07:49:00-07:00",
-          "2010-03-02T07:50:00-07:00",
-          "2010-03-02T07:51:00-07:00",
-          "2010-03-02T07:52:00-07:00",
-          "2010-03-02T07:53:00-07:00",
-          "2010-03-02T07:54:00-07:00",
-          "2010-03-02T07:55:00-07:00",
-          "2010-03-02T07:56:00-07:00",
-          "2010-03-02T07:57:00-07:00",
-          "2010-03-02T07:58:00-07:00",
-          "2010-03-02T07:59:00-07:00",
-          "2010-03-02T08:00:00-07:00",
-          "2010-03-02T08:01:00-07:00",
-          "2010-03-02T08:02:00-07:00",
-          "2010-03-02T08:03:00-07:00",
-          "2010-03-02T08:04:00-07:00",
-          "2010-03-02T08:05:00-07:00",
-          "2010-03-02T08:06:00-07:00",
-          "2010-03-02T08:07:00-07:00",
-          "2010-03-02T08:08:00-07:00",
-          "2010-03-02T08:09:00-07:00",
-          "2010-03-02T08:10:00-07:00",
-          "2010-03-02T08:11:00-07:00",
-          "2010-03-02T08:12:00-07:00",
-          "2010-03-02T08:13:00-07:00",
-          "2010-03-02T08:14:00-07:00",
-          "2010-03-02T08:15:00-07:00",
-          "2010-03-02T08:16:00-07:00",
-          "2010-03-02T08:17:00-07:00",
-          "2010-03-02T08:18:00-07:00",
-          "2010-03-02T08:19:00-07:00",
-          "2010-03-02T08:20:00-07:00",
-          "2010-03-02T08:21:00-07:00",
-          "2010-03-02T08:22:00-07:00",
-          "2010-03-02T08:23:00-07:00",
-          "2010-03-02T08:24:00-07:00",
-          "2010-03-02T08:25:00-07:00",
-          "2010-03-02T08:26:00-07:00",
-          "2010-03-02T08:27:00-07:00",
-          "2010-03-02T08:28:00-07:00",
-          "2010-03-02T08:29:00-07:00",
-          "2010-03-02T08:30:00-07:00",
-          "2010-03-02T08:31:00-07:00",
-          "2010-03-02T08:32:00-07:00",
-          "2010-03-02T08:33:00-07:00",
-          "2010-03-02T08:34:00-07:00",
-          "2010-03-02T08:35:00-07:00",
-          "2010-03-02T08:36:00-07:00",
-          "2010-03-02T08:37:00-07:00",
-          "2010-03-02T08:38:00-07:00",
-          "2010-03-02T08:39:00-07:00",
-          "2010-03-02T08:40:00-07:00",
-          "2010-03-02T08:41:00-07:00",
-          "2010-03-02T08:42:00-07:00",
-          "2010-03-02T08:43:00-07:00",
-          "2010-03-02T08:44:00-07:00",
-          "2010-03-02T08:45:00-07:00",
-          "2010-03-02T08:46:00-07:00",
-          "2010-03-02T08:47:00-07:00",
-          "2010-03-02T08:48:00-07:00",
-          "2010-03-02T08:49:00-07:00",
-          "2010-03-02T08:50:00-07:00",
-          "2010-03-02T08:51:00-07:00",
-          "2010-03-02T08:52:00-07:00",
-          "2010-03-02T08:53:00-07:00",
-          "2010-03-02T08:54:00-07:00",
-          "2010-03-02T08:55:00-07:00",
-          "2010-03-02T08:56:00-07:00",
-          "2010-03-02T08:57:00-07:00",
-          "2010-03-02T08:58:00-07:00",
-          "2010-03-02T08:59:00-07:00",
-          "2010-03-02T09:00:00-07:00",
-          "2010-03-02T09:01:00-07:00",
-          "2010-03-02T09:02:00-07:00",
-          "2010-03-02T09:03:00-07:00",
-          "2010-03-02T09:04:00-07:00",
-          "2010-03-02T09:05:00-07:00",
-          "2010-03-02T09:06:00-07:00",
-          "2010-03-02T09:07:00-07:00",
-          "2010-03-02T09:08:00-07:00",
-          "2010-03-02T09:09:00-07:00",
-          "2010-03-02T09:10:00-07:00",
-          "2010-03-02T09:11:00-07:00",
-          "2010-03-02T09:12:00-07:00",
-          "2010-03-02T09:13:00-07:00",
-          "2010-03-02T09:14:00-07:00",
-          "2010-03-02T09:15:00-07:00",
-          "2010-03-02T09:16:00-07:00",
-          "2010-03-02T09:17:00-07:00",
-          "2010-03-02T09:18:00-07:00",
-          "2010-03-02T09:19:00-07:00",
-          "2010-03-02T09:20:00-07:00",
-          "2010-03-02T09:21:00-07:00",
-          "2010-03-02T09:22:00-07:00",
-          "2010-03-02T09:23:00-07:00",
-          "2010-03-02T09:24:00-07:00",
-          "2010-03-02T09:25:00-07:00",
-          "2010-03-02T09:26:00-07:00",
-          "2010-03-02T09:27:00-07:00",
-          "2010-03-02T09:28:00-07:00",
-          "2010-03-02T09:29:00-07:00",
-          "2010-03-02T09:30:00-07:00",
-          "2010-03-02T09:31:00-07:00",
-          "2010-03-02T09:32:00-07:00",
-          "2010-03-02T09:33:00-07:00",
-          "2010-03-02T09:34:00-07:00",
-          "2010-03-02T09:35:00-07:00",
-          "2010-03-02T09:36:00-07:00",
-          "2010-03-02T09:37:00-07:00",
-          "2010-03-02T09:38:00-07:00",
-          "2010-03-02T09:39:00-07:00",
-          "2010-03-02T09:40:00-07:00",
-          "2010-03-02T09:41:00-07:00",
-          "2010-03-02T09:42:00-07:00",
-          "2010-03-02T09:43:00-07:00",
-          "2010-03-02T09:44:00-07:00",
-          "2010-03-02T09:45:00-07:00",
-          "2010-03-02T09:46:00-07:00",
-          "2010-03-02T09:47:00-07:00",
-          "2010-03-02T09:48:00-07:00",
-          "2010-03-02T09:49:00-07:00",
-          "2010-03-02T09:50:00-07:00",
-          "2010-03-02T09:51:00-07:00",
-          "2010-03-02T09:52:00-07:00",
-          "2010-03-02T09:53:00-07:00",
-          "2010-03-02T09:54:00-07:00",
-          "2010-03-02T09:55:00-07:00",
-          "2010-03-02T09:56:00-07:00",
-          "2010-03-02T09:57:00-07:00",
-          "2010-03-02T09:58:00-07:00",
-          "2010-03-02T09:59:00-07:00",
-          "2010-03-02T10:00:00-07:00",
-          "2010-03-02T10:01:00-07:00",
-          "2010-03-02T10:02:00-07:00",
-          "2010-03-02T10:04:00-07:00",
-          "2010-03-02T10:05:00-07:00",
-          "2010-03-02T10:07:00-07:00",
-          "2010-03-02T10:08:00-07:00",
-          "2010-03-02T10:09:00-07:00",
-          "2010-03-02T10:10:00-07:00",
-          "2010-03-02T10:11:00-07:00",
-          "2010-03-02T10:12:00-07:00",
-          "2010-03-02T10:13:00-07:00",
-          "2010-03-02T10:17:00-07:00",
-          "2010-03-02T10:18:00-07:00",
-          "2010-03-02T10:19:00-07:00",
-          "2010-03-02T10:20:00-07:00",
-          "2010-03-02T10:21:00-07:00",
-          "2010-03-02T10:22:00-07:00",
-          "2010-03-02T10:23:00-07:00",
-          "2010-03-02T10:24:00-07:00",
-          "2010-03-02T10:25:00-07:00",
-          "2010-03-02T10:29:00-07:00",
-          "2010-03-02T10:30:00-07:00",
-          "2010-03-02T10:32:00-07:00",
-          "2010-03-02T10:33:00-07:00",
-          "2010-03-02T10:34:00-07:00",
-          "2010-03-02T10:36:00-07:00",
-          "2010-03-02T10:37:00-07:00",
-          "2010-03-02T10:41:00-07:00",
-          "2010-03-02T10:42:00-07:00",
-          "2010-03-02T10:43:00-07:00",
-          "2010-03-02T10:45:00-07:00",
-          "2010-03-02T10:46:00-07:00",
-          "2010-03-02T10:48:00-07:00",
-          "2010-03-02T10:49:00-07:00",
-          "2010-03-02T10:52:00-07:00",
-          "2010-03-02T10:53:00-07:00",
-          "2010-03-02T10:55:00-07:00",
-          "2010-03-02T10:56:00-07:00",
-          "2010-03-02T10:57:00-07:00",
-          "2010-03-02T10:58:00-07:00",
-          "2010-03-02T10:59:00-07:00",
-          "2010-03-02T11:00:00-07:00",
-          "2010-03-02T11:01:00-07:00",
-          "2010-03-02T11:04:00-07:00",
-          "2010-03-02T11:05:00-07:00",
-          "2010-03-02T11:07:00-07:00",
-          "2010-03-02T11:08:00-07:00",
-          "2010-03-02T11:11:00-07:00",
-          "2010-03-02T11:12:00-07:00",
-          "2010-03-02T11:14:00-07:00",
-          "2010-03-02T11:15:00-07:00",
-          "2010-03-02T11:16:00-07:00",
-          "2010-03-02T11:21:00-07:00",
-          "2010-03-02T11:23:00-07:00",
-          "2010-03-02T11:24:00-07:00",
-          "2010-03-02T11:28:00-07:00",
-          "2010-03-02T11:30:00-07:00",
-          "2010-03-02T11:32:00-07:00",
-          "2010-03-02T11:36:00-07:00",
-          "2010-03-02T11:40:00-07:00",
-          "2010-03-02T11:41:00-07:00",
-          "2010-03-02T11:45:00-07:00",
-          "2010-03-02T11:47:00-07:00",
-          "2010-03-02T11:48:00-07:00",
-          "2010-03-02T11:55:00-07:00",
-          "2010-03-02T11:56:00-07:00",
-          "2010-03-02T11:57:00-07:00",
-          "2010-03-02T12:05:00-07:00",
-          "2010-03-02T12:06:00-07:00",
-          "2010-03-02T12:07:00-07:00",
-          "2010-03-02T12:09:00-07:00",
-          "2010-03-02T12:10:00-07:00",
-          "2010-03-02T12:15:00-07:00",
-          "2010-03-02T12:17:00-07:00",
-          "2010-03-02T12:19:00-07:00",
-          "2010-03-02T12:20:00-07:00",
-          "2010-03-02T12:21:00-07:00",
-          "2010-03-02T12:24:00-07:00",
-          "2010-03-02T12:25:00-07:00",
-          "2010-03-02T12:26:00-07:00",
-          "2010-03-02T12:27:00-07:00",
-          "2010-03-02T12:28:00-07:00",
-          "2010-03-02T12:29:00-07:00",
-          "2010-03-02T12:30:00-07:00",
-          "2010-03-02T12:31:00-07:00",
-          "2010-03-02T12:33:00-07:00",
-          "2010-03-02T12:34:00-07:00",
-          "2010-03-02T12:35:00-07:00",
-          "2010-03-02T12:36:00-07:00",
-          "2010-03-02T12:37:00-07:00",
-          "2010-03-02T12:38:00-07:00",
-          "2010-03-02T12:39:00-07:00",
-          "2010-03-02T12:40:00-07:00",
-          "2010-03-02T12:41:00-07:00",
-          "2010-03-02T12:42:00-07:00",
-          "2010-03-02T12:44:00-07:00",
-          "2010-03-02T12:45:00-07:00",
-          "2010-03-02T12:47:00-07:00",
-          "2010-03-02T12:51:00-07:00",
-          "2010-03-02T12:53:00-07:00",
-          "2010-03-02T12:54:00-07:00",
-          "2010-03-02T12:55:00-07:00",
-          "2010-03-02T12:59:00-07:00",
-          "2010-03-02T13:00:00-07:00",
-          "2010-03-02T13:03:00-07:00",
-          "2010-03-02T13:04:00-07:00",
-          "2010-03-02T13:07:00-07:00",
-          "2010-03-02T13:12:00-07:00",
-          "2010-03-02T13:13:00-07:00",
-          "2010-03-02T13:14:00-07:00",
-          "2010-03-02T13:16:00-07:00",
-          "2010-03-02T13:19:00-07:00",
-          "2010-03-02T13:20:00-07:00",
-          "2010-03-02T13:23:00-07:00",
-          "2010-03-02T13:24:00-07:00",
-          "2010-03-02T13:26:00-07:00",
-          "2010-03-02T13:27:00-07:00",
-          "2010-03-02T13:30:00-07:00",
-          "2010-03-02T13:34:00-07:00",
-          "2010-03-02T13:36:00-07:00",
-          "2010-03-02T13:37:00-07:00",
-          "2010-03-02T13:38:00-07:00",
-          "2010-03-02T13:39:00-07:00",
-          "2010-03-02T13:40:00-07:00",
-          "2010-03-02T13:42:00-07:00",
-          "2010-03-02T13:43:00-07:00",
-          "2010-03-02T13:46:00-07:00",
-          "2010-03-02T13:47:00-07:00",
-          "2010-03-02T13:50:00-07:00",
-          "2010-03-02T13:52:00-07:00",
-          "2010-03-02T13:54:00-07:00",
-          "2010-03-02T13:55:00-07:00",
-          "2010-03-02T13:58:00-07:00",
-          "2010-03-02T13:59:00-07:00",
-          "2010-03-02T14:00:00-07:00",
-          "2010-03-02T14:03:00-07:00",
-          "2010-03-02T14:05:00-07:00",
-          "2010-03-02T14:06:00-07:00",
-          "2010-03-02T14:08:00-07:00",
-          "2010-03-02T14:09:00-07:00",
-          "2010-03-02T14:10:00-07:00",
-          "2010-03-02T14:11:00-07:00",
-          "2010-03-02T14:12:00-07:00",
-          "2010-03-02T14:13:00-07:00",
-          "2010-03-02T14:14:00-07:00",
-          "2010-03-02T14:15:00-07:00",
-          "2010-03-02T14:16:00-07:00",
-          "2010-03-02T14:17:00-07:00",
-          "2010-03-02T14:18:00-07:00",
-          "2010-03-02T14:19:00-07:00",
-          "2010-03-02T14:20:00-07:00",
-          "2010-03-02T14:21:00-07:00",
-          "2010-03-02T14:22:00-07:00",
-          "2010-03-02T14:23:00-07:00",
-          "2010-03-02T14:24:00-07:00",
-          "2010-03-02T14:25:00-07:00",
-          "2010-03-02T14:26:00-07:00",
-          "2010-03-02T14:27:00-07:00",
-          "2010-03-02T14:28:00-07:00",
-          "2010-03-02T14:29:00-07:00",
-          "2010-03-02T14:30:00-07:00",
-          "2010-03-02T14:31:00-07:00",
-          "2010-03-02T14:32:00-07:00",
-          "2010-03-02T14:33:00-07:00",
-          "2010-03-02T14:34:00-07:00",
-          "2010-03-02T14:35:00-07:00",
-          "2010-03-02T14:36:00-07:00",
-          "2010-03-02T14:37:00-07:00",
-          "2010-03-02T14:38:00-07:00",
-          "2010-03-02T14:39:00-07:00",
-          "2010-03-02T14:40:00-07:00",
-          "2010-03-02T14:41:00-07:00",
-          "2010-03-02T14:42:00-07:00",
-          "2010-03-02T14:43:00-07:00",
-          "2010-03-02T14:44:00-07:00",
-          "2010-03-02T14:45:00-07:00",
-          "2010-03-02T14:46:00-07:00",
-          "2010-03-02T14:47:00-07:00",
-          "2010-03-02T14:48:00-07:00",
-          "2010-03-02T14:49:00-07:00",
-          "2010-03-02T14:50:00-07:00",
-          "2010-03-02T14:51:00-07:00",
-          "2010-03-02T14:52:00-07:00",
-          "2010-03-02T14:53:00-07:00",
-          "2010-03-02T14:54:00-07:00",
-          "2010-03-02T14:55:00-07:00",
-          "2010-03-02T14:56:00-07:00",
-          "2010-03-02T14:57:00-07:00",
-          "2010-03-02T14:58:00-07:00",
-          "2010-03-02T14:59:00-07:00",
-          "2010-03-02T15:00:00-07:00",
-          "2010-03-02T15:01:00-07:00",
-          "2010-03-02T15:02:00-07:00",
-          "2010-03-02T15:03:00-07:00",
-          "2010-03-02T15:04:00-07:00",
-          "2010-03-02T15:05:00-07:00",
-          "2010-03-02T15:06:00-07:00",
-          "2010-03-02T15:07:00-07:00",
-          "2010-03-02T15:08:00-07:00",
-          "2010-03-02T15:09:00-07:00",
-          "2010-03-02T15:10:00-07:00",
-          "2010-03-02T15:11:00-07:00",
-          "2010-03-02T15:12:00-07:00",
-          "2010-03-02T15:13:00-07:00",
-          "2010-03-02T15:14:00-07:00",
-          "2010-03-02T15:15:00-07:00",
-          "2010-03-02T15:16:00-07:00",
-          "2010-03-02T15:17:00-07:00",
-          "2010-03-02T15:18:00-07:00",
-          "2010-03-02T15:19:00-07:00",
-          "2010-03-02T15:20:00-07:00",
-          "2010-03-02T15:21:00-07:00",
-          "2010-03-02T15:22:00-07:00",
-          "2010-03-02T15:23:00-07:00",
-          "2010-03-02T15:24:00-07:00",
-          "2010-03-02T15:25:00-07:00",
-          "2010-03-02T15:26:00-07:00",
-          "2010-03-02T15:27:00-07:00",
-          "2010-03-02T15:28:00-07:00",
-          "2010-03-02T15:29:00-07:00",
-          "2010-03-02T15:30:00-07:00",
-          "2010-03-02T15:31:00-07:00",
-          "2010-03-02T15:32:00-07:00",
-          "2010-03-02T15:33:00-07:00",
-          "2010-03-02T15:34:00-07:00",
-          "2010-03-02T15:35:00-07:00",
-          "2010-03-02T15:36:00-07:00",
-          "2010-03-02T15:37:00-07:00",
-          "2010-03-02T15:38:00-07:00",
-          "2010-03-02T15:39:00-07:00",
-          "2010-03-02T15:40:00-07:00",
-          "2010-03-02T15:41:00-07:00",
-          "2010-03-02T15:42:00-07:00",
-          "2010-03-02T15:43:00-07:00",
-          "2010-03-02T15:44:00-07:00",
-          "2010-03-02T15:45:00-07:00",
-          "2010-03-02T15:46:00-07:00",
-          "2010-03-02T15:47:00-07:00",
-          "2010-03-02T15:48:00-07:00",
-          "2010-03-02T15:49:00-07:00",
-          "2010-03-02T15:50:00-07:00",
-          "2010-03-02T15:51:00-07:00",
-          "2010-03-02T15:52:00-07:00",
-          "2010-03-02T15:53:00-07:00",
-          "2010-03-02T15:54:00-07:00",
-          "2010-03-02T15:55:00-07:00",
-          "2010-03-02T15:56:00-07:00",
-          "2010-03-02T15:57:00-07:00",
-          "2010-03-02T15:58:00-07:00",
-          "2010-03-02T15:59:00-07:00",
-          "2010-03-02T16:00:00-07:00",
-          "2010-03-02T16:01:00-07:00",
-          "2010-03-02T16:02:00-07:00",
-          "2010-03-02T16:03:00-07:00",
-          "2010-03-02T16:04:00-07:00",
-          "2010-03-02T16:05:00-07:00",
-          "2010-03-02T16:06:00-07:00",
-          "2010-03-02T16:07:00-07:00",
-          "2010-03-02T16:08:00-07:00",
-          "2010-03-02T16:09:00-07:00",
-          "2010-03-02T16:10:00-07:00",
-          "2010-03-02T16:11:00-07:00",
-          "2010-03-02T16:12:00-07:00",
-          "2010-03-02T16:13:00-07:00",
-          "2010-03-02T16:14:00-07:00",
-          "2010-03-02T16:15:00-07:00",
-          "2010-03-02T16:16:00-07:00",
-          "2010-03-02T16:17:00-07:00",
-          "2010-03-02T16:18:00-07:00",
-          "2010-03-02T16:19:00-07:00",
-          "2010-03-02T16:20:00-07:00",
-          "2010-03-02T16:21:00-07:00",
-          "2010-03-02T16:22:00-07:00",
-          "2010-03-02T16:23:00-07:00",
-          "2010-03-02T16:24:00-07:00",
-          "2010-03-02T16:25:00-07:00",
-          "2010-03-02T16:26:00-07:00",
-          "2010-03-02T16:28:00-07:00",
-          "2010-03-02T16:29:00-07:00",
-          "2010-03-02T16:30:00-07:00",
-          "2010-03-02T16:31:00-07:00",
-          "2010-03-02T16:32:00-07:00",
-          "2010-03-02T16:33:00-07:00",
-          "2010-03-02T16:34:00-07:00",
-          "2010-03-02T16:35:00-07:00",
-          "2010-03-02T16:36:00-07:00",
-          "2010-03-02T16:37:00-07:00",
-          "2010-03-02T16:38:00-07:00",
-          "2010-03-02T16:39:00-07:00",
-          "2010-03-02T16:40:00-07:00",
-          "2010-03-02T16:41:00-07:00",
-          "2010-03-02T16:42:00-07:00",
-          "2010-03-02T16:43:00-07:00",
-          "2010-03-02T16:44:00-07:00",
-          "2010-03-02T16:45:00-07:00",
-          "2010-03-02T16:46:00-07:00",
-          "2010-03-02T16:47:00-07:00",
-          "2010-03-02T16:48:00-07:00",
-          "2010-03-02T16:49:00-07:00",
-          "2010-03-02T16:50:00-07:00",
-          "2010-03-02T16:51:00-07:00",
-          "2010-03-02T16:52:00-07:00",
-          "2010-03-02T16:53:00-07:00",
-          "2010-03-02T16:54:00-07:00",
-          "2010-03-02T16:55:00-07:00",
-          "2010-03-02T16:56:00-07:00",
-          "2010-03-02T16:57:00-07:00",
-          "2010-03-02T16:58:00-07:00",
-          "2010-03-02T16:59:00-07:00",
-          "2010-03-02T17:00:00-07:00",
-          "2010-03-02T17:01:00-07:00",
-          "2010-03-02T17:02:00-07:00",
-          "2010-03-02T17:03:00-07:00",
-          "2010-03-02T17:04:00-07:00",
-          "2010-03-02T17:05:00-07:00",
-          "2010-03-02T17:06:00-07:00",
-          "2010-03-02T17:07:00-07:00",
-          "2010-03-02T17:08:00-07:00",
-          "2010-03-02T17:09:00-07:00",
-          "2010-03-02T17:10:00-07:00",
-          "2010-03-02T17:11:00-07:00",
-          "2010-03-02T17:12:00-07:00",
-          "2010-03-02T17:13:00-07:00",
-          "2010-03-02T17:14:00-07:00",
-          "2010-03-02T17:15:00-07:00",
-          "2010-03-02T17:16:00-07:00",
-          "2010-03-02T17:17:00-07:00",
-          "2010-03-02T17:18:00-07:00",
-          "2010-03-02T17:19:00-07:00",
-          "2010-03-02T17:20:00-07:00",
-          "2010-03-02T17:21:00-07:00",
-          "2010-03-02T17:22:00-07:00",
-          "2010-03-02T17:23:00-07:00",
-          "2010-03-02T17:24:00-07:00",
-          "2010-03-02T17:25:00-07:00",
-          "2010-03-02T17:26:00-07:00",
-          "2010-03-02T17:27:00-07:00",
-          "2010-03-02T17:28:00-07:00",
-          "2010-03-02T17:29:00-07:00",
-          "2010-03-02T17:30:00-07:00",
-          "2010-03-02T17:31:00-07:00",
-          "2010-03-02T17:32:00-07:00",
-          "2010-03-02T17:33:00-07:00",
-          "2010-03-02T17:34:00-07:00",
-          "2010-03-02T17:35:00-07:00",
-          "2010-03-02T17:36:00-07:00",
-          "2010-03-02T17:37:00-07:00",
-          "2010-03-02T17:38:00-07:00",
-          "2010-03-02T17:39:00-07:00",
-          "2010-03-02T17:40:00-07:00",
-          "2010-03-02T17:41:00-07:00",
-          "2010-03-02T17:42:00-07:00",
-          "2010-03-02T17:43:00-07:00",
-          "2010-03-02T17:44:00-07:00",
-          "2010-03-02T17:45:00-07:00",
-          "2010-03-02T17:46:00-07:00",
-          "2010-03-02T17:47:00-07:00",
-          "2010-03-02T17:48:00-07:00",
-          "2010-03-02T17:49:00-07:00",
-          "2010-03-02T17:50:00-07:00",
-          "2010-03-02T17:51:00-07:00",
-          "2010-03-02T17:52:00-07:00",
-          "2010-03-02T17:53:00-07:00",
-          "2010-03-02T17:54:00-07:00",
-          "2010-03-02T17:55:00-07:00",
-          "2010-03-02T17:56:00-07:00",
-          "2010-03-02T17:57:00-07:00",
-          "2010-03-02T17:58:00-07:00",
-          "2010-03-02T17:59:00-07:00",
-          "2010-03-02T18:00:00-07:00",
-          "2010-03-02T18:01:00-07:00",
-          "2010-03-02T18:02:00-07:00",
-          "2010-03-02T18:03:00-07:00",
-          "2010-03-02T18:04:00-07:00",
-          "2010-03-02T18:05:00-07:00",
-          "2010-03-02T18:06:00-07:00",
-          "2010-03-02T18:07:00-07:00",
-          "2010-03-02T18:08:00-07:00",
-          "2010-03-02T18:09:00-07:00",
-          "2010-03-02T18:10:00-07:00",
-          "2010-03-02T18:11:00-07:00",
-          "2010-03-02T18:12:00-07:00",
-          "2010-03-02T18:13:00-07:00",
-          "2010-03-02T18:14:00-07:00",
-          "2010-03-02T18:15:00-07:00",
-          "2010-03-02T18:16:00-07:00",
-          "2010-03-02T18:17:00-07:00",
-          "2010-03-02T18:18:00-07:00",
-          "2010-03-02T18:19:00-07:00",
-          "2010-03-02T18:20:00-07:00",
-          "2010-03-02T18:21:00-07:00",
-          "2010-03-02T18:22:00-07:00",
-          "2010-03-02T18:23:00-07:00",
-          "2010-03-02T18:24:00-07:00",
-          "2010-03-02T18:25:00-07:00",
-          "2010-03-02T18:26:00-07:00",
-          "2010-03-02T18:27:00-07:00",
-          "2010-03-02T18:28:00-07:00",
-          "2010-03-02T18:29:00-07:00",
-          "2010-03-02T18:30:00-07:00",
-          "2010-03-02T18:31:00-07:00",
-          "2010-03-02T18:32:00-07:00",
-          "2010-03-02T18:33:00-07:00",
-          "2010-03-02T18:34:00-07:00",
-          "2010-03-02T18:35:00-07:00",
-          "2010-03-02T18:36:00-07:00",
-          "2010-03-02T18:37:00-07:00",
-          "2010-03-02T18:38:00-07:00",
-          "2010-03-02T18:39:00-07:00",
-          "2010-03-02T18:40:00-07:00",
-          "2010-03-02T18:41:00-07:00",
-          "2010-03-02T18:42:00-07:00",
-          "2010-03-02T18:43:00-07:00",
-          "2010-03-02T18:44:00-07:00",
-          "2010-03-02T18:45:00-07:00",
-          "2010-03-02T18:46:00-07:00",
-          "2010-03-02T18:47:00-07:00",
-          "2010-03-02T18:48:00-07:00",
-          "2010-03-02T18:49:00-07:00",
-          "2010-03-02T18:50:00-07:00",
-          "2010-03-02T18:51:00-07:00",
-          "2010-03-02T18:52:00-07:00",
-          "2010-03-02T18:53:00-07:00",
-          "2010-03-02T18:54:00-07:00",
-          "2010-03-02T18:55:00-07:00",
-          "2010-03-02T18:56:00-07:00",
-          "2010-03-02T18:57:00-07:00",
-          "2010-03-02T18:58:00-07:00",
-          "2010-03-02T18:59:00-07:00",
-          "2010-03-02T19:00:00-07:00",
-          "2010-03-02T19:01:00-07:00",
-          "2010-03-02T19:02:00-07:00",
-          "2010-03-02T19:03:00-07:00",
-          "2010-03-02T19:04:00-07:00",
-          "2010-03-02T19:05:00-07:00",
-          "2010-03-02T19:06:00-07:00",
-          "2010-03-02T19:07:00-07:00",
-          "2010-03-02T19:08:00-07:00",
-          "2010-03-02T19:09:00-07:00",
-          "2010-03-02T19:10:00-07:00",
-          "2010-03-02T19:11:00-07:00",
-          "2010-03-02T19:12:00-07:00",
-          "2010-03-02T19:13:00-07:00",
-          "2010-03-02T19:14:00-07:00",
-          "2010-03-02T19:15:00-07:00",
-          "2010-03-02T19:16:00-07:00",
-          "2010-03-02T19:17:00-07:00",
-          "2010-03-02T19:18:00-07:00",
-          "2010-03-02T19:19:00-07:00",
-          "2010-03-02T19:20:00-07:00",
-          "2010-03-02T19:21:00-07:00",
-          "2010-03-02T19:22:00-07:00",
-          "2010-03-02T19:23:00-07:00",
-          "2010-03-02T19:24:00-07:00",
-          "2010-03-02T19:25:00-07:00",
-          "2010-03-02T19:26:00-07:00",
-          "2010-03-02T19:27:00-07:00",
-          "2010-03-02T19:28:00-07:00",
-          "2010-03-02T19:29:00-07:00",
-          "2010-03-02T19:30:00-07:00",
-          "2010-03-02T19:31:00-07:00",
-          "2010-03-02T19:32:00-07:00",
-          "2010-03-02T19:33:00-07:00",
-          "2010-03-02T19:34:00-07:00",
-          "2010-03-02T19:35:00-07:00",
-          "2010-03-02T19:36:00-07:00",
-          "2010-03-02T19:37:00-07:00",
-          "2010-03-02T19:38:00-07:00",
-          "2010-03-02T19:39:00-07:00",
-          "2010-03-02T19:40:00-07:00",
-          "2010-03-02T19:41:00-07:00",
-          "2010-03-02T19:42:00-07:00",
-          "2010-03-02T19:43:00-07:00",
-          "2010-03-02T19:44:00-07:00",
-          "2010-03-02T19:45:00-07:00",
-          "2010-03-02T19:46:00-07:00",
-          "2010-03-02T19:47:00-07:00",
-          "2010-03-02T19:48:00-07:00",
-          "2010-03-02T19:49:00-07:00",
-          "2010-03-02T19:50:00-07:00",
-          "2010-03-02T19:51:00-07:00",
-          "2010-03-02T19:52:00-07:00",
-          "2010-03-02T19:53:00-07:00",
-          "2010-03-02T19:54:00-07:00",
-          "2010-03-02T19:55:00-07:00",
-          "2010-03-02T19:56:00-07:00",
-          "2010-03-02T19:57:00-07:00",
-          "2010-03-02T19:58:00-07:00",
-          "2010-03-02T19:59:00-07:00",
-          "2010-03-02T20:00:00-07:00",
-          "2010-03-02T20:01:00-07:00",
-          "2010-03-02T20:02:00-07:00",
-          "2010-03-02T20:03:00-07:00",
-          "2010-03-02T20:04:00-07:00",
-          "2010-03-02T20:05:00-07:00",
-          "2010-03-02T20:06:00-07:00",
-          "2010-03-02T20:07:00-07:00",
-          "2010-03-02T20:08:00-07:00",
-          "2010-03-02T20:09:00-07:00",
-          "2010-03-02T20:10:00-07:00",
-          "2010-03-02T20:11:00-07:00",
-          "2010-03-02T20:12:00-07:00",
-          "2010-03-02T20:13:00-07:00",
-          "2010-03-02T20:14:00-07:00",
-          "2010-03-02T20:15:00-07:00",
-          "2010-03-02T20:16:00-07:00",
-          "2010-03-02T20:17:00-07:00",
-          "2010-03-02T20:18:00-07:00",
-          "2010-03-02T20:19:00-07:00",
-          "2010-03-02T20:20:00-07:00",
-          "2010-03-02T20:21:00-07:00",
-          "2010-03-02T20:22:00-07:00",
-          "2010-03-02T20:23:00-07:00",
-          "2010-03-02T20:24:00-07:00",
-          "2010-03-02T20:25:00-07:00",
-          "2010-03-02T20:26:00-07:00",
-          "2010-03-02T20:27:00-07:00",
-          "2010-03-02T20:28:00-07:00",
-          "2010-03-02T20:29:00-07:00",
-          "2010-03-02T20:30:00-07:00",
-          "2010-03-02T20:31:00-07:00",
-          "2010-03-02T20:32:00-07:00",
-          "2010-03-02T20:33:00-07:00",
-          "2010-03-02T20:34:00-07:00",
-          "2010-03-02T20:35:00-07:00",
-          "2010-03-02T20:36:00-07:00",
-          "2010-03-02T20:37:00-07:00",
-          "2010-03-02T20:38:00-07:00",
-          "2010-03-02T20:39:00-07:00",
-          "2010-03-02T20:40:00-07:00",
-          "2010-03-02T20:41:00-07:00",
-          "2010-03-02T20:42:00-07:00",
-          "2010-03-02T20:43:00-07:00",
-          "2010-03-02T20:44:00-07:00",
-          "2010-03-02T20:45:00-07:00",
-          "2010-03-02T20:46:00-07:00",
-          "2010-03-02T20:47:00-07:00",
-          "2010-03-02T20:48:00-07:00",
-          "2010-03-02T20:49:00-07:00",
-          "2010-03-02T20:50:00-07:00",
-          "2010-03-02T20:51:00-07:00",
-          "2010-03-02T20:52:00-07:00",
-          "2010-03-02T20:53:00-07:00",
-          "2010-03-02T20:54:00-07:00",
-          "2010-03-02T20:55:00-07:00",
-          "2010-03-02T20:56:00-07:00",
-          "2010-03-02T20:57:00-07:00",
-          "2010-03-02T20:58:00-07:00",
-          "2010-03-02T20:59:00-07:00",
-          "2010-03-02T21:00:00-07:00",
-          "2010-03-02T21:01:00-07:00",
-          "2010-03-02T21:02:00-07:00",
-          "2010-03-02T21:03:00-07:00",
-          "2010-03-02T21:04:00-07:00",
-          "2010-03-02T21:05:00-07:00",
-          "2010-03-02T21:06:00-07:00",
-          "2010-03-02T21:07:00-07:00",
-          "2010-03-02T21:08:00-07:00",
-          "2010-03-02T21:09:00-07:00",
-          "2010-03-02T21:10:00-07:00",
-          "2010-03-02T21:11:00-07:00",
-          "2010-03-02T21:12:00-07:00",
-          "2010-03-02T21:13:00-07:00",
-          "2010-03-02T21:14:00-07:00",
-          "2010-03-02T21:15:00-07:00",
-          "2010-03-02T21:16:00-07:00",
-          "2010-03-02T21:17:00-07:00",
-          "2010-03-02T21:18:00-07:00",
-          "2010-03-02T21:19:00-07:00",
-          "2010-03-02T21:20:00-07:00",
-          "2010-03-02T21:21:00-07:00",
-          "2010-03-02T21:22:00-07:00",
-          "2010-03-02T21:23:00-07:00",
-          "2010-03-02T21:24:00-07:00",
-          "2010-03-02T21:25:00-07:00",
-          "2010-03-02T21:26:00-07:00",
-          "2010-03-02T21:27:00-07:00",
-          "2010-03-02T21:28:00-07:00",
-          "2010-03-02T21:29:00-07:00",
-          "2010-03-02T21:30:00-07:00",
-          "2010-03-02T21:31:00-07:00",
-          "2010-03-02T21:32:00-07:00",
-          "2010-03-02T21:33:00-07:00",
-          "2010-03-02T21:34:00-07:00",
-          "2010-03-02T21:35:00-07:00",
-          "2010-03-02T21:36:00-07:00",
-          "2010-03-02T21:37:00-07:00",
-          "2010-03-02T21:38:00-07:00",
-          "2010-03-02T21:39:00-07:00",
-          "2010-03-02T21:40:00-07:00",
-          "2010-03-02T21:41:00-07:00",
-          "2010-03-02T21:42:00-07:00",
-          "2010-03-02T21:43:00-07:00",
-          "2010-03-02T21:44:00-07:00",
-          "2010-03-02T21:45:00-07:00",
-          "2010-03-02T21:46:00-07:00",
-          "2010-03-02T21:47:00-07:00",
-          "2010-03-02T21:48:00-07:00",
-          "2010-03-02T21:49:00-07:00",
-          "2010-03-02T21:50:00-07:00",
-          "2010-03-02T21:51:00-07:00",
-          "2010-03-02T21:52:00-07:00",
-          "2010-03-02T21:53:00-07:00",
-          "2010-03-02T21:54:00-07:00",
-          "2010-03-02T21:55:00-07:00",
-          "2010-03-02T21:56:00-07:00",
-          "2010-03-02T21:57:00-07:00",
-          "2010-03-02T21:58:00-07:00",
-          "2010-03-02T21:59:00-07:00",
-          "2010-03-02T22:00:00-07:00",
-          "2010-03-02T22:01:00-07:00",
-          "2010-03-02T22:02:00-07:00",
-          "2010-03-02T22:03:00-07:00",
-          "2010-03-02T22:04:00-07:00",
-          "2010-03-02T22:05:00-07:00",
-          "2010-03-02T22:06:00-07:00",
-          "2010-03-02T22:07:00-07:00",
-          "2010-03-02T22:08:00-07:00",
-          "2010-03-02T22:09:00-07:00",
-          "2010-03-02T22:10:00-07:00",
-          "2010-03-02T22:11:00-07:00",
-          "2010-03-02T22:12:00-07:00",
-          "2010-03-02T22:13:00-07:00",
-          "2010-03-02T22:14:00-07:00",
-          "2010-03-02T22:15:00-07:00",
-          "2010-03-02T22:16:00-07:00",
-          "2010-03-02T22:17:00-07:00",
-          "2010-03-02T22:18:00-07:00",
-          "2010-03-02T22:19:00-07:00",
-          "2010-03-02T22:20:00-07:00",
-          "2010-03-02T22:21:00-07:00",
-          "2010-03-02T22:22:00-07:00",
-          "2010-03-02T22:23:00-07:00",
-          "2010-03-02T22:24:00-07:00",
-          "2010-03-02T22:25:00-07:00",
-          "2010-03-02T22:26:00-07:00",
-          "2010-03-02T22:27:00-07:00",
-          "2010-03-02T22:28:00-07:00",
-          "2010-03-02T22:29:00-07:00",
-          "2010-03-02T22:30:00-07:00",
-          "2010-03-02T22:31:00-07:00",
-          "2010-03-02T22:32:00-07:00",
-          "2010-03-02T22:33:00-07:00",
-          "2010-03-02T22:34:00-07:00",
-          "2010-03-02T22:35:00-07:00",
-          "2010-03-02T22:36:00-07:00",
-          "2010-03-02T22:37:00-07:00",
-          "2010-03-02T22:38:00-07:00",
-          "2010-03-02T22:39:00-07:00",
-          "2010-03-02T22:40:00-07:00",
-          "2010-03-02T22:41:00-07:00",
-          "2010-03-02T22:42:00-07:00",
-          "2010-03-02T22:43:00-07:00",
-          "2010-03-02T22:44:00-07:00",
-          "2010-03-02T22:45:00-07:00",
-          "2010-03-02T22:46:00-07:00",
-          "2010-03-02T22:47:00-07:00",
-          "2010-03-02T22:48:00-07:00",
-          "2010-03-02T22:49:00-07:00",
-          "2010-03-02T22:50:00-07:00",
-          "2010-03-02T22:51:00-07:00",
-          "2010-03-02T22:52:00-07:00",
-          "2010-03-02T22:53:00-07:00",
-          "2010-03-02T22:54:00-07:00",
-          "2010-03-02T22:55:00-07:00",
-          "2010-03-02T22:56:00-07:00",
-          "2010-03-02T22:57:00-07:00",
-          "2010-03-02T22:58:00-07:00",
-          "2010-03-02T22:59:00-07:00",
-          "2010-03-02T23:00:00-07:00",
-          "2010-03-02T23:01:00-07:00",
-          "2010-03-02T23:02:00-07:00",
-          "2010-03-02T23:03:00-07:00",
-          "2010-03-02T23:04:00-07:00",
-          "2010-03-02T23:05:00-07:00",
-          "2010-03-02T23:06:00-07:00",
-          "2010-03-02T23:07:00-07:00",
-          "2010-03-02T23:08:00-07:00",
-          "2010-03-02T23:09:00-07:00",
-          "2010-03-02T23:10:00-07:00",
-          "2010-03-02T23:11:00-07:00",
-          "2010-03-02T23:12:00-07:00",
-          "2010-03-02T23:13:00-07:00",
-          "2010-03-02T23:14:00-07:00",
-          "2010-03-02T23:15:00-07:00",
-          "2010-03-02T23:16:00-07:00",
-          "2010-03-02T23:17:00-07:00",
-          "2010-03-02T23:18:00-07:00",
-          "2010-03-02T23:19:00-07:00",
-          "2010-03-02T23:20:00-07:00",
-          "2010-03-02T23:21:00-07:00",
-          "2010-03-02T23:22:00-07:00",
-          "2010-03-02T23:23:00-07:00",
-          "2010-03-02T23:24:00-07:00",
-          "2010-03-02T23:25:00-07:00",
-          "2010-03-02T23:26:00-07:00",
-          "2010-03-02T23:27:00-07:00",
-          "2010-03-02T23:28:00-07:00",
-          "2010-03-02T23:29:00-07:00",
-          "2010-03-02T23:30:00-07:00",
-          "2010-03-02T23:31:00-07:00",
-          "2010-03-02T23:32:00-07:00",
-          "2010-03-02T23:33:00-07:00",
-          "2010-03-02T23:34:00-07:00",
-          "2010-03-02T23:35:00-07:00",
-          "2010-03-02T23:36:00-07:00",
-          "2010-03-02T23:37:00-07:00",
-          "2010-03-02T23:38:00-07:00",
-          "2010-03-02T23:39:00-07:00",
-          "2010-03-02T23:40:00-07:00",
-          "2010-03-02T23:41:00-07:00",
-          "2010-03-02T23:42:00-07:00",
-          "2010-03-02T23:43:00-07:00",
-          "2010-03-02T23:44:00-07:00",
-          "2010-03-02T23:45:00-07:00",
-          "2010-03-02T23:46:00-07:00",
-          "2010-03-02T23:47:00-07:00",
-          "2010-03-02T23:48:00-07:00",
-          "2010-03-02T23:49:00-07:00",
-          "2010-03-02T23:50:00-07:00",
-          "2010-03-02T23:51:00-07:00",
-          "2010-03-02T23:52:00-07:00",
-          "2010-03-02T23:53:00-07:00",
-          "2010-03-02T23:54:00-07:00",
-          "2010-03-02T23:55:00-07:00",
-          "2010-03-02T23:56:00-07:00",
-          "2010-03-02T23:57:00-07:00",
-          "2010-03-02T23:58:00-07:00",
-          "2010-03-02T23:59:00-07:00",
-          "2010-03-03T00:00:00-07:00",
-          "2010-03-03T00:01:00-07:00",
-          "2010-03-03T00:02:00-07:00",
-          "2010-03-03T00:03:00-07:00",
-          "2010-03-03T00:04:00-07:00",
-          "2010-03-03T00:05:00-07:00",
-          "2010-03-03T00:06:00-07:00",
-          "2010-03-03T00:07:00-07:00",
-          "2010-03-03T00:08:00-07:00",
-          "2010-03-03T00:09:00-07:00",
-          "2010-03-03T00:10:00-07:00",
-          "2010-03-03T00:11:00-07:00",
-          "2010-03-03T00:12:00-07:00",
-          "2010-03-03T00:13:00-07:00",
-          "2010-03-03T00:14:00-07:00",
-          "2010-03-03T00:15:00-07:00",
-          "2010-03-03T00:16:00-07:00",
-          "2010-03-03T00:17:00-07:00",
-          "2010-03-03T00:18:00-07:00",
-          "2010-03-03T00:19:00-07:00",
-          "2010-03-03T00:20:00-07:00",
-          "2010-03-03T00:21:00-07:00",
-          "2010-03-03T00:22:00-07:00",
-          "2010-03-03T00:23:00-07:00",
-          "2010-03-03T00:24:00-07:00",
-          "2010-03-03T00:25:00-07:00",
-          "2010-03-03T00:26:00-07:00",
-          "2010-03-03T00:27:00-07:00",
-          "2010-03-03T00:28:00-07:00",
-          "2010-03-03T00:29:00-07:00",
-          "2010-03-03T00:30:00-07:00",
-          "2010-03-03T00:31:00-07:00",
-          "2010-03-03T00:32:00-07:00",
-          "2010-03-03T00:33:00-07:00",
-          "2010-03-03T00:34:00-07:00",
-          "2010-03-03T00:35:00-07:00",
-          "2010-03-03T00:36:00-07:00",
-          "2010-03-03T00:37:00-07:00",
-          "2010-03-03T00:38:00-07:00",
-          "2010-03-03T00:39:00-07:00",
-          "2010-03-03T00:40:00-07:00",
-          "2010-03-03T00:41:00-07:00",
-          "2010-03-03T00:42:00-07:00",
-          "2010-03-03T00:43:00-07:00",
-          "2010-03-03T00:44:00-07:00",
-          "2010-03-03T00:45:00-07:00",
-          "2010-03-03T00:46:00-07:00",
-          "2010-03-03T00:47:00-07:00",
-          "2010-03-03T00:48:00-07:00",
-          "2010-03-03T00:49:00-07:00",
-          "2010-03-03T00:50:00-07:00",
-          "2010-03-03T00:51:00-07:00",
-          "2010-03-03T00:52:00-07:00",
-          "2010-03-03T00:53:00-07:00",
-          "2010-03-03T00:54:00-07:00",
-          "2010-03-03T00:55:00-07:00",
-          "2010-03-03T00:56:00-07:00",
-          "2010-03-03T00:57:00-07:00",
-          "2010-03-03T00:58:00-07:00",
-          "2010-03-03T00:59:00-07:00",
-          "2010-03-03T01:00:00-07:00",
-          "2010-03-03T01:01:00-07:00",
-          "2010-03-03T01:02:00-07:00",
-          "2010-03-03T01:03:00-07:00",
-          "2010-03-03T01:04:00-07:00",
-          "2010-03-03T01:05:00-07:00",
-          "2010-03-03T01:06:00-07:00",
-          "2010-03-03T01:07:00-07:00",
-          "2010-03-03T01:08:00-07:00",
-          "2010-03-03T01:09:00-07:00",
-          "2010-03-03T01:10:00-07:00",
-          "2010-03-03T01:11:00-07:00",
-          "2010-03-03T01:12:00-07:00",
-          "2010-03-03T01:13:00-07:00",
-          "2010-03-03T01:14:00-07:00",
-          "2010-03-03T01:15:00-07:00",
-          "2010-03-03T01:16:00-07:00",
-          "2010-03-03T01:17:00-07:00",
-          "2010-03-03T01:18:00-07:00",
-          "2010-03-03T01:19:00-07:00",
-          "2010-03-03T01:20:00-07:00",
-          "2010-03-03T01:21:00-07:00",
-          "2010-03-03T01:22:00-07:00",
-          "2010-03-03T01:23:00-07:00",
-          "2010-03-03T01:24:00-07:00",
-          "2010-03-03T01:25:00-07:00",
-          "2010-03-03T01:26:00-07:00",
-          "2010-03-03T01:27:00-07:00",
-          "2010-03-03T01:28:00-07:00",
-          "2010-03-03T01:29:00-07:00",
-          "2010-03-03T01:30:00-07:00",
-          "2010-03-03T01:31:00-07:00",
-          "2010-03-03T01:32:00-07:00",
-          "2010-03-03T01:33:00-07:00",
-          "2010-03-03T01:34:00-07:00",
-          "2010-03-03T01:35:00-07:00",
-          "2010-03-03T01:36:00-07:00",
-          "2010-03-03T01:37:00-07:00",
-          "2010-03-03T01:38:00-07:00",
-          "2010-03-03T01:39:00-07:00",
-          "2010-03-03T01:40:00-07:00",
-          "2010-03-03T01:41:00-07:00",
-          "2010-03-03T01:42:00-07:00",
-          "2010-03-03T01:43:00-07:00",
-          "2010-03-03T01:44:00-07:00",
-          "2010-03-03T01:45:00-07:00",
-          "2010-03-03T01:46:00-07:00",
-          "2010-03-03T01:47:00-07:00",
-          "2010-03-03T01:48:00-07:00",
-          "2010-03-03T01:49:00-07:00",
-          "2010-03-03T01:50:00-07:00",
-          "2010-03-03T01:51:00-07:00",
-          "2010-03-03T01:52:00-07:00",
-          "2010-03-03T01:53:00-07:00",
-          "2010-03-03T01:54:00-07:00",
-          "2010-03-03T01:55:00-07:00",
-          "2010-03-03T01:56:00-07:00",
-          "2010-03-03T01:57:00-07:00",
-          "2010-03-03T01:58:00-07:00",
-          "2010-03-03T01:59:00-07:00",
-          "2010-03-03T02:00:00-07:00",
-          "2010-03-03T02:01:00-07:00",
-          "2010-03-03T02:02:00-07:00",
-          "2010-03-03T02:03:00-07:00",
-          "2010-03-03T02:04:00-07:00",
-          "2010-03-03T02:05:00-07:00",
-          "2010-03-03T02:06:00-07:00",
-          "2010-03-03T02:07:00-07:00",
-          "2010-03-03T02:08:00-07:00",
-          "2010-03-03T02:09:00-07:00",
-          "2010-03-03T02:10:00-07:00",
-          "2010-03-03T02:11:00-07:00",
-          "2010-03-03T02:12:00-07:00",
-          "2010-03-03T02:13:00-07:00",
-          "2010-03-03T02:14:00-07:00",
-          "2010-03-03T02:15:00-07:00",
-          "2010-03-03T02:16:00-07:00",
-          "2010-03-03T02:17:00-07:00",
-          "2010-03-03T02:18:00-07:00",
-          "2010-03-03T02:19:00-07:00",
-          "2010-03-03T02:20:00-07:00",
-          "2010-03-03T02:21:00-07:00",
-          "2010-03-03T02:22:00-07:00",
-          "2010-03-03T02:23:00-07:00",
-          "2010-03-03T02:24:00-07:00",
-          "2010-03-03T02:25:00-07:00",
-          "2010-03-03T02:26:00-07:00",
-          "2010-03-03T02:27:00-07:00",
-          "2010-03-03T02:28:00-07:00",
-          "2010-03-03T02:29:00-07:00",
-          "2010-03-03T02:30:00-07:00",
-          "2010-03-03T02:31:00-07:00",
-          "2010-03-03T02:32:00-07:00",
-          "2010-03-03T02:33:00-07:00",
-          "2010-03-03T02:34:00-07:00",
-          "2010-03-03T02:35:00-07:00",
-          "2010-03-03T02:36:00-07:00",
-          "2010-03-03T02:37:00-07:00",
-          "2010-03-03T02:38:00-07:00",
-          "2010-03-03T02:39:00-07:00",
-          "2010-03-03T02:40:00-07:00",
-          "2010-03-03T02:41:00-07:00",
-          "2010-03-03T02:42:00-07:00",
-          "2010-03-03T02:43:00-07:00",
-          "2010-03-03T02:44:00-07:00",
-          "2010-03-03T02:45:00-07:00",
-          "2010-03-03T02:46:00-07:00",
-          "2010-03-03T02:47:00-07:00",
-          "2010-03-03T02:48:00-07:00",
-          "2010-03-03T02:49:00-07:00",
-          "2010-03-03T02:50:00-07:00",
-          "2010-03-03T02:51:00-07:00",
-          "2010-03-03T02:52:00-07:00",
-          "2010-03-03T02:53:00-07:00",
-          "2010-03-03T02:54:00-07:00",
-          "2010-03-03T02:55:00-07:00",
-          "2010-03-03T02:56:00-07:00",
-          "2010-03-03T02:57:00-07:00",
-          "2010-03-03T02:58:00-07:00",
-          "2010-03-03T02:59:00-07:00",
-          "2010-03-03T03:00:00-07:00",
-          "2010-03-03T03:01:00-07:00",
-          "2010-03-03T03:02:00-07:00",
-          "2010-03-03T03:03:00-07:00",
-          "2010-03-03T03:04:00-07:00",
-          "2010-03-03T03:05:00-07:00",
-          "2010-03-03T03:06:00-07:00",
-          "2010-03-03T03:07:00-07:00",
-          "2010-03-03T03:08:00-07:00",
-          "2010-03-03T03:09:00-07:00",
-          "2010-03-03T03:10:00-07:00",
-          "2010-03-03T03:11:00-07:00",
-          "2010-03-03T03:12:00-07:00",
-          "2010-03-03T03:13:00-07:00",
-          "2010-03-03T03:14:00-07:00",
-          "2010-03-03T03:15:00-07:00",
-          "2010-03-03T03:16:00-07:00",
-          "2010-03-03T03:17:00-07:00",
-          "2010-03-03T03:18:00-07:00",
-          "2010-03-03T03:19:00-07:00",
-          "2010-03-03T03:20:00-07:00",
-          "2010-03-03T03:21:00-07:00",
-          "2010-03-03T03:22:00-07:00",
-          "2010-03-03T03:23:00-07:00",
-          "2010-03-03T03:24:00-07:00",
-          "2010-03-03T03:25:00-07:00",
-          "2010-03-03T03:26:00-07:00",
-          "2010-03-03T03:27:00-07:00",
-          "2010-03-03T03:28:00-07:00",
-          "2010-03-03T03:29:00-07:00",
-          "2010-03-03T03:30:00-07:00",
-          "2010-03-03T03:31:00-07:00",
-          "2010-03-03T03:32:00-07:00",
-          "2010-03-03T03:33:00-07:00",
-          "2010-03-03T03:34:00-07:00",
-          "2010-03-03T03:35:00-07:00",
-          "2010-03-03T03:36:00-07:00",
-          "2010-03-03T03:37:00-07:00",
-          "2010-03-03T03:38:00-07:00",
-          "2010-03-03T03:39:00-07:00",
-          "2010-03-03T03:40:00-07:00",
-          "2010-03-03T03:41:00-07:00",
-          "2010-03-03T03:42:00-07:00",
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-          "2010-03-03T03:44:00-07:00",
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-          "2010-03-03T03:51:00-07:00",
-          "2010-03-03T03:52:00-07:00",
-          "2010-03-03T03:53:00-07:00",
-          "2010-03-03T03:54:00-07:00",
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-          "2010-03-03T03:56:00-07:00",
-          "2010-03-03T03:57:00-07:00",
-          "2010-03-03T03:58:00-07:00",
-          "2010-03-03T03:59:00-07:00",
-          "2010-03-03T04:00:00-07:00",
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-          "2010-03-03T04:03:00-07:00",
-          "2010-03-03T04:04:00-07:00",
-          "2010-03-03T04:05:00-07:00",
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-          "2010-03-03T04:09:00-07:00",
-          "2010-03-03T04:10:00-07:00",
-          "2010-03-03T04:11:00-07:00",
-          "2010-03-03T04:12:00-07:00",
-          "2010-03-03T04:13:00-07:00",
-          "2010-03-03T04:14:00-07:00",
-          "2010-03-03T04:15:00-07:00",
-          "2010-03-03T04:16:00-07:00",
-          "2010-03-03T04:17:00-07:00",
-          "2010-03-03T04:18:00-07:00",
-          "2010-03-03T04:19:00-07:00",
-          "2010-03-03T04:20:00-07:00",
-          "2010-03-03T04:21:00-07:00",
-          "2010-03-03T04:22:00-07:00",
-          "2010-03-03T04:23:00-07:00",
-          "2010-03-03T04:24:00-07:00",
-          "2010-03-03T04:25:00-07:00",
-          "2010-03-03T04:26:00-07:00",
-          "2010-03-03T04:27:00-07:00",
-          "2010-03-03T04:28:00-07:00",
-          "2010-03-03T04:29:00-07:00",
-          "2010-03-03T04:30:00-07:00",
-          "2010-03-03T04:31:00-07:00",
-          "2010-03-03T04:32:00-07:00",
-          "2010-03-03T04:33:00-07:00",
-          "2010-03-03T04:34:00-07:00",
-          "2010-03-03T04:35:00-07:00",
-          "2010-03-03T04:36:00-07:00",
-          "2010-03-03T04:37:00-07:00",
-          "2010-03-03T04:38:00-07:00",
-          "2010-03-03T04:39:00-07:00",
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-          "2010-03-03T04:41:00-07:00",
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-          "2010-03-03T04:53:00-07:00",
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-          "2010-03-03T04:58:00-07:00",
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-          "2010-03-03T05:05:00-07:00",
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-          "2010-03-03T05:08:00-07:00",
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-          "2010-03-03T05:10:00-07:00",
-          "2010-03-03T05:11:00-07:00",
-          "2010-03-03T05:12:00-07:00",
-          "2010-03-03T05:13:00-07:00",
-          "2010-03-03T05:14:00-07:00",
-          "2010-03-03T05:15:00-07:00",
-          "2010-03-03T05:16:00-07:00",
-          "2010-03-03T05:17:00-07:00",
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-          "2010-03-03T05:19:00-07:00",
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-          "2010-03-03T05:21:00-07:00",
-          "2010-03-03T05:22:00-07:00",
-          "2010-03-03T05:23:00-07:00",
-          "2010-03-03T05:24:00-07:00",
-          "2010-03-03T05:25:00-07:00",
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-          "2010-03-03T05:36:00-07:00",
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-          "2010-03-03T05:38:00-07:00",
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-          "2010-03-03T10:30:00-07:00",
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-          "2010-03-03T10:46:00-07:00",
-          "2010-03-03T10:47:00-07:00",
-          "2010-03-03T10:52:00-07:00",
-          "2010-03-03T10:54:00-07:00",
-          "2010-03-03T10:56:00-07:00",
-          "2010-03-03T10:57:00-07:00",
-          "2010-03-03T10:58:00-07:00",
-          "2010-03-03T10:59:00-07:00",
-          "2010-03-03T11:00:00-07:00",
-          "2010-03-03T11:01:00-07:00",
-          "2010-03-03T11:02:00-07:00",
-          "2010-03-03T11:03:00-07:00",
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-          "2010-03-03T11:05:00-07:00",
-          "2010-03-03T11:07:00-07:00",
-          "2010-03-03T11:09:00-07:00",
-          "2010-03-03T11:10:00-07:00",
-          "2010-03-03T11:11:00-07:00",
-          "2010-03-03T11:12:00-07:00",
-          "2010-03-03T11:13:00-07:00",
-          "2010-03-03T11:14:00-07:00",
-          "2010-03-03T11:15:00-07:00",
-          "2010-03-03T11:16:00-07:00",
-          "2010-03-03T11:17:00-07:00",
-          "2010-03-03T11:18:00-07:00",
-          "2010-03-03T11:19:00-07:00",
-          "2010-03-03T11:21:00-07:00",
-          "2010-03-03T11:22:00-07:00",
-          "2010-03-03T11:23:00-07:00",
-          "2010-03-03T11:24:00-07:00",
-          "2010-03-03T11:25:00-07:00",
-          "2010-03-03T11:27:00-07:00",
-          "2010-03-03T11:28:00-07:00",
-          "2010-03-03T11:30:00-07:00",
-          "2010-03-03T11:32:00-07:00",
-          "2010-03-03T11:33:00-07:00",
-          "2010-03-03T11:34:00-07:00",
-          "2010-03-03T11:36:00-07:00",
-          "2010-03-03T11:38:00-07:00",
-          "2010-03-03T11:39:00-07:00",
-          "2010-03-03T11:40:00-07:00",
-          "2010-03-03T11:43:00-07:00",
-          "2010-03-03T11:45:00-07:00",
-          "2010-03-03T11:46:00-07:00",
-          "2010-03-03T11:48:00-07:00",
-          "2010-03-03T11:51:00-07:00",
-          "2010-03-03T11:55:00-07:00",
-          "2010-03-03T11:56:00-07:00",
-          "2010-03-03T11:59:00-07:00",
-          "2010-03-03T12:01:00-07:00",
-          "2010-03-03T12:02:00-07:00",
-          "2010-03-03T12:03:00-07:00",
-          "2010-03-03T12:04:00-07:00",
-          "2010-03-03T12:06:00-07:00",
-          "2010-03-03T12:07:00-07:00",
-          "2010-03-03T12:08:00-07:00",
-          "2010-03-03T12:09:00-07:00",
-          "2010-03-03T12:12:00-07:00",
-          "2010-03-03T12:13:00-07:00",
-          "2010-03-03T12:16:00-07:00",
-          "2010-03-03T12:17:00-07:00",
-          "2010-03-03T12:18:00-07:00",
-          "2010-03-03T12:19:00-07:00",
-          "2010-03-03T12:20:00-07:00",
-          "2010-03-03T12:21:00-07:00",
-          "2010-03-03T12:24:00-07:00",
-          "2010-03-03T12:26:00-07:00",
-          "2010-03-03T12:28:00-07:00",
-          "2010-03-03T12:30:00-07:00",
-          "2010-03-03T12:32:00-07:00",
-          "2010-03-03T12:34:00-07:00",
-          "2010-03-03T12:35:00-07:00",
-          "2010-03-03T12:38:00-07:00",
-          "2010-03-03T12:39:00-07:00",
-          "2010-03-03T12:46:00-07:00",
-          "2010-03-03T12:49:00-07:00",
-          "2010-03-03T12:50:00-07:00",
-          "2010-03-03T12:52:00-07:00",
-          "2010-03-03T12:53:00-07:00",
-          "2010-03-03T12:54:00-07:00",
-          "2010-03-03T12:55:00-07:00",
-          "2010-03-03T12:56:00-07:00",
-          "2010-03-03T12:59:00-07:00",
-          "2010-03-03T13:01:00-07:00",
-          "2010-03-03T13:02:00-07:00",
-          "2010-03-03T13:03:00-07:00",
-          "2010-03-03T13:04:00-07:00",
-          "2010-03-03T13:05:00-07:00",
-          "2010-03-03T13:06:00-07:00",
-          "2010-03-03T13:07:00-07:00",
-          "2010-03-03T13:13:00-07:00",
-          "2010-03-03T13:14:00-07:00",
-          "2010-03-03T13:16:00-07:00",
-          "2010-03-03T13:17:00-07:00",
-          "2010-03-03T13:18:00-07:00",
-          "2010-03-03T13:19:00-07:00",
-          "2010-03-03T13:20:00-07:00",
-          "2010-03-03T13:22:00-07:00",
-          "2010-03-03T13:23:00-07:00",
-          "2010-03-03T13:25:00-07:00",
-          "2010-03-03T13:26:00-07:00",
-          "2010-03-03T13:27:00-07:00",
-          "2010-03-03T13:29:00-07:00",
-          "2010-03-03T13:30:00-07:00",
-          "2010-03-03T13:31:00-07:00",
-          "2010-03-03T13:32:00-07:00",
-          "2010-03-03T13:33:00-07:00",
-          "2010-03-03T13:34:00-07:00",
-          "2010-03-03T13:36:00-07:00",
-          "2010-03-03T13:37:00-07:00",
-          "2010-03-03T13:38:00-07:00",
-          "2010-03-03T13:39:00-07:00",
-          "2010-03-03T13:40:00-07:00",
-          "2010-03-03T13:42:00-07:00",
-          "2010-03-03T13:43:00-07:00",
-          "2010-03-03T13:44:00-07:00",
-          "2010-03-03T13:45:00-07:00",
-          "2010-03-03T13:47:00-07:00",
-          "2010-03-03T13:49:00-07:00",
-          "2010-03-03T13:50:00-07:00",
-          "2010-03-03T13:51:00-07:00",
-          "2010-03-03T13:54:00-07:00",
-          "2010-03-03T13:55:00-07:00",
-          "2010-03-03T13:56:00-07:00",
-          "2010-03-03T13:57:00-07:00",
-          "2010-03-03T13:58:00-07:00",
-          "2010-03-03T13:59:00-07:00",
-          "2010-03-03T14:00:00-07:00",
-          "2010-03-03T14:01:00-07:00",
-          "2010-03-03T14:02:00-07:00",
-          "2010-03-03T14:03:00-07:00",
-          "2010-03-03T14:04:00-07:00",
-          "2010-03-03T14:05:00-07:00",
-          "2010-03-03T14:06:00-07:00",
-          "2010-03-03T14:07:00-07:00",
-          "2010-03-03T14:08:00-07:00",
-          "2010-03-03T14:09:00-07:00",
-          "2010-03-03T14:10:00-07:00",
-          "2010-03-03T14:11:00-07:00",
-          "2010-03-03T14:12:00-07:00",
-          "2010-03-03T14:13:00-07:00",
-          "2010-03-03T14:14:00-07:00",
-          "2010-03-03T14:15:00-07:00",
-          "2010-03-03T14:16:00-07:00",
-          "2010-03-03T14:17:00-07:00",
-          "2010-03-03T14:18:00-07:00",
-          "2010-03-03T14:19:00-07:00",
-          "2010-03-03T14:20:00-07:00",
-          "2010-03-03T14:21:00-07:00",
-          "2010-03-03T14:22:00-07:00",
-          "2010-03-03T14:23:00-07:00",
-          "2010-03-03T14:24:00-07:00",
-          "2010-03-03T14:25:00-07:00",
-          "2010-03-03T14:26:00-07:00",
-          "2010-03-03T14:27:00-07:00",
-          "2010-03-03T14:28:00-07:00",
-          "2010-03-03T14:29:00-07:00",
-          "2010-03-03T14:30:00-07:00",
-          "2010-03-03T14:31:00-07:00",
-          "2010-03-03T14:32:00-07:00",
-          "2010-03-03T14:33:00-07:00",
-          "2010-03-03T14:34:00-07:00",
-          "2010-03-03T14:35:00-07:00",
-          "2010-03-03T14:36:00-07:00",
-          "2010-03-03T14:37:00-07:00",
-          "2010-03-03T14:38:00-07:00",
-          "2010-03-03T14:39:00-07:00",
-          "2010-03-03T14:40:00-07:00",
-          "2010-03-03T14:41:00-07:00",
-          "2010-03-03T14:42:00-07:00",
-          "2010-03-03T14:43:00-07:00",
-          "2010-03-03T14:44:00-07:00",
-          "2010-03-03T14:45:00-07:00",
-          "2010-03-03T14:46:00-07:00",
-          "2010-03-03T14:47:00-07:00",
-          "2010-03-03T14:48:00-07:00",
-          "2010-03-03T14:49:00-07:00",
-          "2010-03-03T14:50:00-07:00",
-          "2010-03-03T14:51:00-07:00",
-          "2010-03-03T14:52:00-07:00",
-          "2010-03-03T14:53:00-07:00",
-          "2010-03-03T14:54:00-07:00",
-          "2010-03-03T14:55:00-07:00",
-          "2010-03-03T14:56:00-07:00",
-          "2010-03-03T14:57:00-07:00",
-          "2010-03-03T14:58:00-07:00",
-          "2010-03-03T14:59:00-07:00",
-          "2010-03-03T15:00:00-07:00",
-          "2010-03-03T15:01:00-07:00",
-          "2010-03-03T15:02:00-07:00",
-          "2010-03-03T15:03:00-07:00",
-          "2010-03-03T15:04:00-07:00",
-          "2010-03-03T15:05:00-07:00",
-          "2010-03-03T15:06:00-07:00",
-          "2010-03-03T15:07:00-07:00",
-          "2010-03-03T15:08:00-07:00",
-          "2010-03-03T15:09:00-07:00",
-          "2010-03-03T15:10:00-07:00",
-          "2010-03-03T15:11:00-07:00",
-          "2010-03-03T15:12:00-07:00",
-          "2010-03-03T15:13:00-07:00",
-          "2010-03-03T15:14:00-07:00",
-          "2010-03-03T15:15:00-07:00",
-          "2010-03-03T15:16:00-07:00",
-          "2010-03-03T15:17:00-07:00",
-          "2010-03-03T15:18:00-07:00",
-          "2010-03-03T15:19:00-07:00",
-          "2010-03-03T15:20:00-07:00",
-          "2010-03-03T15:21:00-07:00",
-          "2010-03-03T15:22:00-07:00",
-          "2010-03-03T15:23:00-07:00",
-          "2010-03-03T15:24:00-07:00",
-          "2010-03-03T15:25:00-07:00",
-          "2010-03-03T15:26:00-07:00",
-          "2010-03-03T15:27:00-07:00",
-          "2010-03-03T15:28:00-07:00",
-          "2010-03-03T15:29:00-07:00",
-          "2010-03-03T15:30:00-07:00",
-          "2010-03-03T15:31:00-07:00",
-          "2010-03-03T15:32:00-07:00",
-          "2010-03-03T15:33:00-07:00",
-          "2010-03-03T15:34:00-07:00",
-          "2010-03-03T15:35:00-07:00",
-          "2010-03-03T15:36:00-07:00",
-          "2010-03-03T15:37:00-07:00",
-          "2010-03-03T15:38:00-07:00",
-          "2010-03-03T15:39:00-07:00",
-          "2010-03-03T15:40:00-07:00",
-          "2010-03-03T15:41:00-07:00",
-          "2010-03-03T15:42:00-07:00",
-          "2010-03-03T15:43:00-07:00",
-          "2010-03-03T15:44:00-07:00",
-          "2010-03-03T15:45:00-07:00",
-          "2010-03-03T15:46:00-07:00",
-          "2010-03-03T15:47:00-07:00",
-          "2010-03-03T15:48:00-07:00",
-          "2010-03-03T15:49:00-07:00",
-          "2010-03-03T15:50:00-07:00",
-          "2010-03-03T15:51:00-07:00",
-          "2010-03-03T15:52:00-07:00",
-          "2010-03-03T15:53:00-07:00",
-          "2010-03-03T15:54:00-07:00",
-          "2010-03-03T15:55:00-07:00",
-          "2010-03-03T15:56:00-07:00",
-          "2010-03-03T15:57:00-07:00",
-          "2010-03-03T15:58:00-07:00",
-          "2010-03-03T15:59:00-07:00",
-          "2010-03-03T16:00:00-07:00",
-          "2010-03-03T16:01:00-07:00",
-          "2010-03-03T16:02:00-07:00",
-          "2010-03-03T16:03:00-07:00",
-          "2010-03-03T16:04:00-07:00",
-          "2010-03-03T16:05:00-07:00",
-          "2010-03-03T16:06:00-07:00",
-          "2010-03-03T16:07:00-07:00",
-          "2010-03-03T16:08:00-07:00",
-          "2010-03-03T16:09:00-07:00",
-          "2010-03-03T16:10:00-07:00",
-          "2010-03-03T16:11:00-07:00",
-          "2010-03-03T16:12:00-07:00",
-          "2010-03-03T16:13:00-07:00",
-          "2010-03-03T16:14:00-07:00",
-          "2010-03-03T16:15:00-07:00",
-          "2010-03-03T16:16:00-07:00",
-          "2010-03-03T16:17:00-07:00",
-          "2010-03-03T16:18:00-07:00",
-          "2010-03-03T16:19:00-07:00",
-          "2010-03-03T16:20:00-07:00",
-          "2010-03-03T16:21:00-07:00",
-          "2010-03-03T16:22:00-07:00",
-          "2010-03-03T16:23:00-07:00",
-          "2010-03-03T16:24:00-07:00",
-          "2010-03-03T16:25:00-07:00",
-          "2010-03-03T16:26:00-07:00",
-          "2010-03-03T16:27:00-07:00",
-          "2010-03-03T16:28:00-07:00",
-          "2010-03-03T16:29:00-07:00",
-          "2010-03-03T16:30:00-07:00",
-          "2010-03-03T16:31:00-07:00",
-          "2010-03-03T16:32:00-07:00",
-          "2010-03-03T16:33:00-07:00",
-          "2010-03-03T16:34:00-07:00",
-          "2010-03-03T16:35:00-07:00",
-          "2010-03-03T16:36:00-07:00",
-          "2010-03-03T16:37:00-07:00",
-          "2010-03-03T16:38:00-07:00",
-          "2010-03-03T16:39:00-07:00",
-          "2010-03-03T16:40:00-07:00",
-          "2010-03-03T16:41:00-07:00",
-          "2010-03-03T16:42:00-07:00",
-          "2010-03-03T16:43:00-07:00",
-          "2010-03-03T16:44:00-07:00",
-          "2010-03-03T16:45:00-07:00",
-          "2010-03-03T16:46:00-07:00",
-          "2010-03-03T16:47:00-07:00",
-          "2010-03-03T16:48:00-07:00",
-          "2010-03-03T16:49:00-07:00",
-          "2010-03-03T16:50:00-07:00",
-          "2010-03-03T16:51:00-07:00",
-          "2010-03-03T16:52:00-07:00",
-          "2010-03-03T16:53:00-07:00",
-          "2010-03-03T16:54:00-07:00",
-          "2010-03-03T16:55:00-07:00",
-          "2010-03-03T16:56:00-07:00",
-          "2010-03-03T16:57:00-07:00",
-          "2010-03-03T16:58:00-07:00",
-          "2010-03-03T16:59:00-07:00",
-          "2010-03-03T17:00:00-07:00",
-          "2010-03-03T17:01:00-07:00",
-          "2010-03-03T17:02:00-07:00",
-          "2010-03-03T17:03:00-07:00",
-          "2010-03-03T17:04:00-07:00",
-          "2010-03-03T17:05:00-07:00",
-          "2010-03-03T17:06:00-07:00",
-          "2010-03-03T17:07:00-07:00",
-          "2010-03-03T17:08:00-07:00",
-          "2010-03-03T17:09:00-07:00",
-          "2010-03-03T17:10:00-07:00",
-          "2010-03-03T17:11:00-07:00",
-          "2010-03-03T17:12:00-07:00",
-          "2010-03-03T17:13:00-07:00",
-          "2010-03-03T17:14:00-07:00",
-          "2010-03-03T17:15:00-07:00",
-          "2010-03-03T17:16:00-07:00",
-          "2010-03-03T17:17:00-07:00",
-          "2010-03-03T17:18:00-07:00",
-          "2010-03-03T17:19:00-07:00",
-          "2010-03-03T17:20:00-07:00",
-          "2010-03-03T17:21:00-07:00",
-          "2010-03-03T17:22:00-07:00",
-          "2010-03-03T17:23:00-07:00",
-          "2010-03-03T17:24:00-07:00",
-          "2010-03-03T17:25:00-07:00",
-          "2010-03-03T17:26:00-07:00",
-          "2010-03-03T17:27:00-07:00",
-          "2010-03-03T17:28:00-07:00",
-          "2010-03-03T17:29:00-07:00",
-          "2010-03-03T17:30:00-07:00",
-          "2010-03-03T17:31:00-07:00",
-          "2010-03-03T17:32:00-07:00",
-          "2010-03-03T17:33:00-07:00",
-          "2010-03-03T17:34:00-07:00",
-          "2010-03-03T17:35:00-07:00",
-          "2010-03-03T17:36:00-07:00",
-          "2010-03-03T17:37:00-07:00",
-          "2010-03-03T17:38:00-07:00",
-          "2010-03-03T17:39:00-07:00",
-          "2010-03-03T17:40:00-07:00",
-          "2010-03-03T17:41:00-07:00",
-          "2010-03-03T17:42:00-07:00",
-          "2010-03-03T17:43:00-07:00",
-          "2010-03-03T17:44:00-07:00",
-          "2010-03-03T17:45:00-07:00",
-          "2010-03-03T17:46:00-07:00",
-          "2010-03-03T17:47:00-07:00",
-          "2010-03-03T17:48:00-07:00",
-          "2010-03-03T17:49:00-07:00",
-          "2010-03-03T17:50:00-07:00",
-          "2010-03-03T17:51:00-07:00",
-          "2010-03-03T17:52:00-07:00",
-          "2010-03-03T17:53:00-07:00",
-          "2010-03-03T17:54:00-07:00",
-          "2010-03-03T17:55:00-07:00",
-          "2010-03-03T17:56:00-07:00",
-          "2010-03-03T17:57:00-07:00",
-          "2010-03-03T17:58:00-07:00",
-          "2010-03-03T17:59:00-07:00",
-          "2010-03-03T18:00:00-07:00",
-          "2010-03-03T18:01:00-07:00",
-          "2010-03-03T18:02:00-07:00",
-          "2010-03-03T18:03:00-07:00",
-          "2010-03-03T18:04:00-07:00",
-          "2010-03-03T18:05:00-07:00",
-          "2010-03-03T18:06:00-07:00",
-          "2010-03-03T18:07:00-07:00",
-          "2010-03-03T18:08:00-07:00",
-          "2010-03-03T18:09:00-07:00",
-          "2010-03-03T18:10:00-07:00",
-          "2010-03-03T18:11:00-07:00",
-          "2010-03-03T18:12:00-07:00",
-          "2010-03-03T18:13:00-07:00",
-          "2010-03-03T18:14:00-07:00",
-          "2010-03-03T18:15:00-07:00",
-          "2010-03-03T18:16:00-07:00",
-          "2010-03-03T18:17:00-07:00",
-          "2010-03-03T18:18:00-07:00",
-          "2010-03-03T18:19:00-07:00",
-          "2010-03-03T18:20:00-07:00",
-          "2010-03-03T18:21:00-07:00",
-          "2010-03-03T18:22:00-07:00",
-          "2010-03-03T18:23:00-07:00",
-          "2010-03-03T18:24:00-07:00",
-          "2010-03-03T18:25:00-07:00",
-          "2010-03-03T18:26:00-07:00",
-          "2010-03-03T18:27:00-07:00",
-          "2010-03-03T18:28:00-07:00",
-          "2010-03-03T18:29:00-07:00",
-          "2010-03-03T18:30:00-07:00",
-          "2010-03-03T18:31:00-07:00",
-          "2010-03-03T18:32:00-07:00",
-          "2010-03-03T18:33:00-07:00",
-          "2010-03-03T18:34:00-07:00",
-          "2010-03-03T18:35:00-07:00",
-          "2010-03-03T18:36:00-07:00",
-          "2010-03-03T18:37:00-07:00",
-          "2010-03-03T18:38:00-07:00",
-          "2010-03-03T18:39:00-07:00",
-          "2010-03-03T18:40:00-07:00",
-          "2010-03-03T18:41:00-07:00",
-          "2010-03-03T18:42:00-07:00",
-          "2010-03-03T18:43:00-07:00",
-          "2010-03-03T18:44:00-07:00",
-          "2010-03-03T18:45:00-07:00",
-          "2010-03-03T18:46:00-07:00",
-          "2010-03-03T18:47:00-07:00",
-          "2010-03-03T18:48:00-07:00",
-          "2010-03-03T18:49:00-07:00",
-          "2010-03-03T18:50:00-07:00",
-          "2010-03-03T18:51:00-07:00",
-          "2010-03-03T18:52:00-07:00",
-          "2010-03-03T18:53:00-07:00",
-          "2010-03-03T18:54:00-07:00",
-          "2010-03-03T18:55:00-07:00",
-          "2010-03-03T18:56:00-07:00",
-          "2010-03-03T18:57:00-07:00",
-          "2010-03-03T18:58:00-07:00",
-          "2010-03-03T18:59:00-07:00",
-          "2010-03-03T19:00:00-07:00",
-          "2010-03-03T19:01:00-07:00",
-          "2010-03-03T19:02:00-07:00",
-          "2010-03-03T19:03:00-07:00",
-          "2010-03-03T19:04:00-07:00",
-          "2010-03-03T19:05:00-07:00",
-          "2010-03-03T19:06:00-07:00",
-          "2010-03-03T19:07:00-07:00",
-          "2010-03-03T19:08:00-07:00",
-          "2010-03-03T19:09:00-07:00",
-          "2010-03-03T19:10:00-07:00",
-          "2010-03-03T19:11:00-07:00",
-          "2010-03-03T19:12:00-07:00",
-          "2010-03-03T19:13:00-07:00",
-          "2010-03-03T19:14:00-07:00",
-          "2010-03-03T19:15:00-07:00",
-          "2010-03-03T19:16:00-07:00",
-          "2010-03-03T19:17:00-07:00",
-          "2010-03-03T19:18:00-07:00",
-          "2010-03-03T19:19:00-07:00",
-          "2010-03-03T19:20:00-07:00",
-          "2010-03-03T19:21:00-07:00",
-          "2010-03-03T19:22:00-07:00",
-          "2010-03-03T19:23:00-07:00",
-          "2010-03-03T19:24:00-07:00",
-          "2010-03-03T19:25:00-07:00",
-          "2010-03-03T19:26:00-07:00",
-          "2010-03-03T19:27:00-07:00",
-          "2010-03-03T19:28:00-07:00",
-          "2010-03-03T19:29:00-07:00",
-          "2010-03-03T19:30:00-07:00",
-          "2010-03-03T19:31:00-07:00",
-          "2010-03-03T19:32:00-07:00",
-          "2010-03-03T19:33:00-07:00",
-          "2010-03-03T19:34:00-07:00",
-          "2010-03-03T19:35:00-07:00",
-          "2010-03-03T19:36:00-07:00",
-          "2010-03-03T19:37:00-07:00",
-          "2010-03-03T19:38:00-07:00",
-          "2010-03-03T19:39:00-07:00",
-          "2010-03-03T19:40:00-07:00",
-          "2010-03-03T19:41:00-07:00",
-          "2010-03-03T19:42:00-07:00",
-          "2010-03-03T19:43:00-07:00",
-          "2010-03-03T19:44:00-07:00",
-          "2010-03-03T19:45:00-07:00",
-          "2010-03-03T19:46:00-07:00",
-          "2010-03-03T19:47:00-07:00",
-          "2010-03-03T19:48:00-07:00",
-          "2010-03-03T19:49:00-07:00",
-          "2010-03-03T19:50:00-07:00",
-          "2010-03-03T19:51:00-07:00",
-          "2010-03-03T19:52:00-07:00",
-          "2010-03-03T19:53:00-07:00",
-          "2010-03-03T19:54:00-07:00",
-          "2010-03-03T19:55:00-07:00",
-          "2010-03-03T19:56:00-07:00",
-          "2010-03-03T19:57:00-07:00",
-          "2010-03-03T19:58:00-07:00",
-          "2010-03-03T19:59:00-07:00",
-          "2010-03-03T20:00:00-07:00",
-          "2010-03-03T20:01:00-07:00",
-          "2010-03-03T20:02:00-07:00",
-          "2010-03-03T20:03:00-07:00",
-          "2010-03-03T20:04:00-07:00",
-          "2010-03-03T20:05:00-07:00",
-          "2010-03-03T20:06:00-07:00",
-          "2010-03-03T20:07:00-07:00",
-          "2010-03-03T20:08:00-07:00",
-          "2010-03-03T20:09:00-07:00",
-          "2010-03-03T20:10:00-07:00",
-          "2010-03-03T20:11:00-07:00",
-          "2010-03-03T20:12:00-07:00",
-          "2010-03-03T20:13:00-07:00",
-          "2010-03-03T20:14:00-07:00",
-          "2010-03-03T20:15:00-07:00",
-          "2010-03-03T20:16:00-07:00",
-          "2010-03-03T20:17:00-07:00",
-          "2010-03-03T20:18:00-07:00",
-          "2010-03-03T20:19:00-07:00",
-          "2010-03-03T20:20:00-07:00",
-          "2010-03-03T20:21:00-07:00",
-          "2010-03-03T20:22:00-07:00",
-          "2010-03-03T20:23:00-07:00",
-          "2010-03-03T20:24:00-07:00",
-          "2010-03-03T20:25:00-07:00",
-          "2010-03-03T20:26:00-07:00",
-          "2010-03-03T20:27:00-07:00",
-          "2010-03-03T20:28:00-07:00",
-          "2010-03-03T20:29:00-07:00",
-          "2010-03-03T20:30:00-07:00",
-          "2010-03-03T20:31:00-07:00",
-          "2010-03-03T20:32:00-07:00",
-          "2010-03-03T20:33:00-07:00",
-          "2010-03-03T20:34:00-07:00",
-          "2010-03-03T20:35:00-07:00",
-          "2010-03-03T20:36:00-07:00",
-          "2010-03-03T20:37:00-07:00",
-          "2010-03-03T20:38:00-07:00",
-          "2010-03-03T20:39:00-07:00",
-          "2010-03-03T20:40:00-07:00",
-          "2010-03-03T20:41:00-07:00",
-          "2010-03-03T20:42:00-07:00",
-          "2010-03-03T20:43:00-07:00",
-          "2010-03-03T20:44:00-07:00",
-          "2010-03-03T20:45:00-07:00",
-          "2010-03-03T20:46:00-07:00",
-          "2010-03-03T20:47:00-07:00",
-          "2010-03-03T20:48:00-07:00",
-          "2010-03-03T20:49:00-07:00",
-          "2010-03-03T20:50:00-07:00",
-          "2010-03-03T20:51:00-07:00",
-          "2010-03-03T20:52:00-07:00",
-          "2010-03-03T20:53:00-07:00",
-          "2010-03-03T20:54:00-07:00",
-          "2010-03-03T20:55:00-07:00",
-          "2010-03-03T20:56:00-07:00",
-          "2010-03-03T20:57:00-07:00",
-          "2010-03-03T20:58:00-07:00",
-          "2010-03-03T20:59:00-07:00",
-          "2010-03-03T21:00:00-07:00",
-          "2010-03-03T21:01:00-07:00",
-          "2010-03-03T21:02:00-07:00",
-          "2010-03-03T21:03:00-07:00",
-          "2010-03-03T21:04:00-07:00",
-          "2010-03-03T21:05:00-07:00",
-          "2010-03-03T21:06:00-07:00",
-          "2010-03-03T21:07:00-07:00",
-          "2010-03-03T21:08:00-07:00",
-          "2010-03-03T21:09:00-07:00",
-          "2010-03-03T21:10:00-07:00",
-          "2010-03-03T21:11:00-07:00",
-          "2010-03-03T21:12:00-07:00",
-          "2010-03-03T21:13:00-07:00",
-          "2010-03-03T21:14:00-07:00",
-          "2010-03-03T21:15:00-07:00",
-          "2010-03-03T21:16:00-07:00",
-          "2010-03-03T21:17:00-07:00",
-          "2010-03-03T21:18:00-07:00",
-          "2010-03-03T21:19:00-07:00",
-          "2010-03-03T21:20:00-07:00",
-          "2010-03-03T21:21:00-07:00",
-          "2010-03-03T21:22:00-07:00",
-          "2010-03-03T21:23:00-07:00",
-          "2010-03-03T21:24:00-07:00",
-          "2010-03-03T21:25:00-07:00",
-          "2010-03-03T21:26:00-07:00",
-          "2010-03-03T21:27:00-07:00",
-          "2010-03-03T21:28:00-07:00",
-          "2010-03-03T21:29:00-07:00",
-          "2010-03-03T21:30:00-07:00",
-          "2010-03-03T21:31:00-07:00",
-          "2010-03-03T21:32:00-07:00",
-          "2010-03-03T21:33:00-07:00",
-          "2010-03-03T21:34:00-07:00",
-          "2010-03-03T21:35:00-07:00",
-          "2010-03-03T21:36:00-07:00",
-          "2010-03-03T21:37:00-07:00",
-          "2010-03-03T21:38:00-07:00",
-          "2010-03-03T21:39:00-07:00",
-          "2010-03-03T21:40:00-07:00",
-          "2010-03-03T21:41:00-07:00",
-          "2010-03-03T21:42:00-07:00",
-          "2010-03-03T21:43:00-07:00",
-          "2010-03-03T21:44:00-07:00",
-          "2010-03-03T21:45:00-07:00",
-          "2010-03-03T21:46:00-07:00",
-          "2010-03-03T21:47:00-07:00",
-          "2010-03-03T21:48:00-07:00",
-          "2010-03-03T21:49:00-07:00",
-          "2010-03-03T21:50:00-07:00",
-          "2010-03-03T21:51:00-07:00",
-          "2010-03-03T21:52:00-07:00",
-          "2010-03-03T21:53:00-07:00",
-          "2010-03-03T21:54:00-07:00",
-          "2010-03-03T21:55:00-07:00",
-          "2010-03-03T21:56:00-07:00",
-          "2010-03-03T21:57:00-07:00",
-          "2010-03-03T21:58:00-07:00",
-          "2010-03-03T21:59:00-07:00",
-          "2010-03-03T22:00:00-07:00",
-          "2010-03-03T22:01:00-07:00",
-          "2010-03-03T22:02:00-07:00",
-          "2010-03-03T22:03:00-07:00",
-          "2010-03-03T22:04:00-07:00",
-          "2010-03-03T22:05:00-07:00",
-          "2010-03-03T22:06:00-07:00",
-          "2010-03-03T22:07:00-07:00",
-          "2010-03-03T22:08:00-07:00",
-          "2010-03-03T22:09:00-07:00",
-          "2010-03-03T22:10:00-07:00",
-          "2010-03-03T22:11:00-07:00",
-          "2010-03-03T22:12:00-07:00",
-          "2010-03-03T22:13:00-07:00",
-          "2010-03-03T22:14:00-07:00",
-          "2010-03-03T22:15:00-07:00",
-          "2010-03-03T22:16:00-07:00",
-          "2010-03-03T22:17:00-07:00",
-          "2010-03-03T22:18:00-07:00",
-          "2010-03-03T22:19:00-07:00",
-          "2010-03-03T22:20:00-07:00",
-          "2010-03-03T22:21:00-07:00",
-          "2010-03-03T22:22:00-07:00",
-          "2010-03-03T22:23:00-07:00",
-          "2010-03-03T22:24:00-07:00",
-          "2010-03-03T22:25:00-07:00",
-          "2010-03-03T22:26:00-07:00",
-          "2010-03-03T22:27:00-07:00",
-          "2010-03-03T22:28:00-07:00",
-          "2010-03-03T22:29:00-07:00",
-          "2010-03-03T22:30:00-07:00",
-          "2010-03-03T22:31:00-07:00",
-          "2010-03-03T22:32:00-07:00",
-          "2010-03-03T22:33:00-07:00",
-          "2010-03-03T22:34:00-07:00",
-          "2010-03-03T22:35:00-07:00",
-          "2010-03-03T22:36:00-07:00",
-          "2010-03-03T22:37:00-07:00",
-          "2010-03-03T22:38:00-07:00",
-          "2010-03-03T22:39:00-07:00",
-          "2010-03-03T22:40:00-07:00",
-          "2010-03-03T22:41:00-07:00",
-          "2010-03-03T22:42:00-07:00",
-          "2010-03-03T22:43:00-07:00",
-          "2010-03-03T22:44:00-07:00",
-          "2010-03-03T22:45:00-07:00",
-          "2010-03-03T22:46:00-07:00",
-          "2010-03-03T22:47:00-07:00",
-          "2010-03-03T22:48:00-07:00",
-          "2010-03-03T22:49:00-07:00",
-          "2010-03-03T22:50:00-07:00",
-          "2010-03-03T22:51:00-07:00",
-          "2010-03-03T22:52:00-07:00",
-          "2010-03-03T22:53:00-07:00",
-          "2010-03-03T22:54:00-07:00",
-          "2010-03-03T22:55:00-07:00",
-          "2010-03-03T22:56:00-07:00",
-          "2010-03-03T22:57:00-07:00",
-          "2010-03-03T22:58:00-07:00",
-          "2010-03-03T22:59:00-07:00",
-          "2010-03-03T23:00:00-07:00",
-          "2010-03-03T23:01:00-07:00",
-          "2010-03-03T23:02:00-07:00",
-          "2010-03-03T23:03:00-07:00",
-          "2010-03-03T23:04:00-07:00",
-          "2010-03-03T23:05:00-07:00",
-          "2010-03-03T23:06:00-07:00",
-          "2010-03-03T23:07:00-07:00",
-          "2010-03-03T23:08:00-07:00",
-          "2010-03-03T23:09:00-07:00",
-          "2010-03-03T23:10:00-07:00",
-          "2010-03-03T23:11:00-07:00",
-          "2010-03-03T23:12:00-07:00",
-          "2010-03-03T23:13:00-07:00",
-          "2010-03-03T23:14:00-07:00",
-          "2010-03-03T23:15:00-07:00",
-          "2010-03-03T23:16:00-07:00",
-          "2010-03-03T23:17:00-07:00",
-          "2010-03-03T23:18:00-07:00",
-          "2010-03-03T23:19:00-07:00",
-          "2010-03-03T23:20:00-07:00",
-          "2010-03-03T23:21:00-07:00",
-          "2010-03-03T23:22:00-07:00",
-          "2010-03-03T23:23:00-07:00",
-          "2010-03-03T23:24:00-07:00",
-          "2010-03-03T23:25:00-07:00",
-          "2010-03-03T23:26:00-07:00",
-          "2010-03-03T23:27:00-07:00",
-          "2010-03-03T23:28:00-07:00",
-          "2010-03-03T23:29:00-07:00",
-          "2010-03-03T23:30:00-07:00",
-          "2010-03-03T23:31:00-07:00",
-          "2010-03-03T23:32:00-07:00",
-          "2010-03-03T23:33:00-07:00",
-          "2010-03-03T23:34:00-07:00",
-          "2010-03-03T23:35:00-07:00",
-          "2010-03-03T23:36:00-07:00",
-          "2010-03-03T23:37:00-07:00",
-          "2010-03-03T23:38:00-07:00",
-          "2010-03-03T23:39:00-07:00",
-          "2010-03-03T23:40:00-07:00",
-          "2010-03-03T23:41:00-07:00",
-          "2010-03-03T23:42:00-07:00",
-          "2010-03-03T23:43:00-07:00",
-          "2010-03-03T23:44:00-07:00",
-          "2010-03-03T23:45:00-07:00",
-          "2010-03-03T23:46:00-07:00",
-          "2010-03-03T23:47:00-07:00",
-          "2010-03-03T23:48:00-07:00",
-          "2010-03-03T23:49:00-07:00",
-          "2010-03-03T23:50:00-07:00",
-          "2010-03-03T23:51:00-07:00",
-          "2010-03-03T23:52:00-07:00",
-          "2010-03-03T23:53:00-07:00",
-          "2010-03-03T23:54:00-07:00",
-          "2010-03-03T23:55:00-07:00",
-          "2010-03-03T23:56:00-07:00",
-          "2010-03-03T23:57:00-07:00",
-          "2010-03-03T23:58:00-07:00",
-          "2010-03-03T23:59:00-07:00",
-          "2010-03-04T00:00:00-07:00",
-          "2010-03-04T00:01:00-07:00",
-          "2010-03-04T00:02:00-07:00",
-          "2010-03-04T00:03:00-07:00",
-          "2010-03-04T00:04:00-07:00",
-          "2010-03-04T00:05:00-07:00",
-          "2010-03-04T00:06:00-07:00",
-          "2010-03-04T00:07:00-07:00",
-          "2010-03-04T00:08:00-07:00",
-          "2010-03-04T00:09:00-07:00",
-          "2010-03-04T00:10:00-07:00",
-          "2010-03-04T00:11:00-07:00",
-          "2010-03-04T00:12:00-07:00",
-          "2010-03-04T00:13:00-07:00",
-          "2010-03-04T00:14:00-07:00",
-          "2010-03-04T00:15:00-07:00",
-          "2010-03-04T00:16:00-07:00",
-          "2010-03-04T00:17:00-07:00",
-          "2010-03-04T00:18:00-07:00",
-          "2010-03-04T00:19:00-07:00",
-          "2010-03-04T00:20:00-07:00",
-          "2010-03-04T00:21:00-07:00",
-          "2010-03-04T00:22:00-07:00",
-          "2010-03-04T00:23:00-07:00",
-          "2010-03-04T00:24:00-07:00",
-          "2010-03-04T00:25:00-07:00",
-          "2010-03-04T00:26:00-07:00",
-          "2010-03-04T00:27:00-07:00",
-          "2010-03-04T00:28:00-07:00",
-          "2010-03-04T00:29:00-07:00",
-          "2010-03-04T00:30:00-07:00",
-          "2010-03-04T00:31:00-07:00",
-          "2010-03-04T00:32:00-07:00",
-          "2010-03-04T00:33:00-07:00",
-          "2010-03-04T00:34:00-07:00",
-          "2010-03-04T00:35:00-07:00",
-          "2010-03-04T00:36:00-07:00",
-          "2010-03-04T00:37:00-07:00",
-          "2010-03-04T00:38:00-07:00",
-          "2010-03-04T00:39:00-07:00",
-          "2010-03-04T00:40:00-07:00",
-          "2010-03-04T00:41:00-07:00",
-          "2010-03-04T00:42:00-07:00",
-          "2010-03-04T00:43:00-07:00",
-          "2010-03-04T00:44:00-07:00",
-          "2010-03-04T00:45:00-07:00",
-          "2010-03-04T00:46:00-07:00",
-          "2010-03-04T00:47:00-07:00",
-          "2010-03-04T00:48:00-07:00",
-          "2010-03-04T00:49:00-07:00",
-          "2010-03-04T00:50:00-07:00",
-          "2010-03-04T00:51:00-07:00",
-          "2010-03-04T00:52:00-07:00",
-          "2010-03-04T00:53:00-07:00",
-          "2010-03-04T00:54:00-07:00",
-          "2010-03-04T00:55:00-07:00",
-          "2010-03-04T00:56:00-07:00",
-          "2010-03-04T00:57:00-07:00",
-          "2010-03-04T00:58:00-07:00",
-          "2010-03-04T00:59:00-07:00",
-          "2010-03-04T01:00:00-07:00",
-          "2010-03-04T01:01:00-07:00",
-          "2010-03-04T01:02:00-07:00",
-          "2010-03-04T01:03:00-07:00",
-          "2010-03-04T01:04:00-07:00",
-          "2010-03-04T01:05:00-07:00",
-          "2010-03-04T01:06:00-07:00",
-          "2010-03-04T01:07:00-07:00",
-          "2010-03-04T01:08:00-07:00",
-          "2010-03-04T01:09:00-07:00",
-          "2010-03-04T01:10:00-07:00",
-          "2010-03-04T01:11:00-07:00",
-          "2010-03-04T01:12:00-07:00",
-          "2010-03-04T01:13:00-07:00",
-          "2010-03-04T01:14:00-07:00",
-          "2010-03-04T01:15:00-07:00",
-          "2010-03-04T01:16:00-07:00",
-          "2010-03-04T01:17:00-07:00",
-          "2010-03-04T01:18:00-07:00",
-          "2010-03-04T01:19:00-07:00",
-          "2010-03-04T01:20:00-07:00",
-          "2010-03-04T01:21:00-07:00",
-          "2010-03-04T01:22:00-07:00",
-          "2010-03-04T01:23:00-07:00",
-          "2010-03-04T01:24:00-07:00",
-          "2010-03-04T01:25:00-07:00",
-          "2010-03-04T01:26:00-07:00",
-          "2010-03-04T01:27:00-07:00",
-          "2010-03-04T01:28:00-07:00",
-          "2010-03-04T01:29:00-07:00",
-          "2010-03-04T01:30:00-07:00",
-          "2010-03-04T01:31:00-07:00",
-          "2010-03-04T01:32:00-07:00",
-          "2010-03-04T01:33:00-07:00",
-          "2010-03-04T01:34:00-07:00",
-          "2010-03-04T01:35:00-07:00",
-          "2010-03-04T01:36:00-07:00",
-          "2010-03-04T01:37:00-07:00",
-          "2010-03-04T01:38:00-07:00",
-          "2010-03-04T01:39:00-07:00",
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-          "2010-03-04T01:41:00-07:00",
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-          "2010-03-04T01:49:00-07:00",
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-          "2010-03-04T02:13:00-07:00",
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-          "2010-03-04T02:16:00-07:00",
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-          "2010-03-04T02:18:00-07:00",
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-          "2010-03-04T07:32:00-07:00",
-          "2010-03-04T07:33:00-07:00",
-          "2010-03-04T07:34:00-07:00",
-          "2010-03-04T07:35:00-07:00",
-          "2010-03-04T07:36:00-07:00",
-          "2010-03-04T07:37:00-07:00",
-          "2010-03-04T07:38:00-07:00",
-          "2010-03-04T07:39:00-07:00",
-          "2010-03-04T07:40:00-07:00",
-          "2010-03-04T07:41:00-07:00",
-          "2010-03-04T07:42:00-07:00",
-          "2010-03-04T07:43:00-07:00",
-          "2010-03-04T07:44:00-07:00",
-          "2010-03-04T07:45:00-07:00",
-          "2010-03-04T07:46:00-07:00",
-          "2010-03-04T07:47:00-07:00",
-          "2010-03-04T07:48:00-07:00",
-          "2010-03-04T07:49:00-07:00",
-          "2010-03-04T07:50:00-07:00",
-          "2010-03-04T07:51:00-07:00",
-          "2010-03-04T07:52:00-07:00",
-          "2010-03-04T07:53:00-07:00",
-          "2010-03-04T07:54:00-07:00",
-          "2010-03-04T07:55:00-07:00",
-          "2010-03-04T07:56:00-07:00",
-          "2010-03-04T07:57:00-07:00",
-          "2010-03-04T07:58:00-07:00",
-          "2010-03-04T07:59:00-07:00",
-          "2010-03-04T08:00:00-07:00",
-          "2010-03-04T08:01:00-07:00",
-          "2010-03-04T08:02:00-07:00",
-          "2010-03-04T08:03:00-07:00",
-          "2010-03-04T08:04:00-07:00",
-          "2010-03-04T08:05:00-07:00",
-          "2010-03-04T08:06:00-07:00",
-          "2010-03-04T08:07:00-07:00",
-          "2010-03-04T08:08:00-07:00",
-          "2010-03-04T08:09:00-07:00",
-          "2010-03-04T08:10:00-07:00",
-          "2010-03-04T08:11:00-07:00",
-          "2010-03-04T08:12:00-07:00",
-          "2010-03-04T08:13:00-07:00",
-          "2010-03-04T08:14:00-07:00",
-          "2010-03-04T08:15:00-07:00",
-          "2010-03-04T08:16:00-07:00",
-          "2010-03-04T08:17:00-07:00",
-          "2010-03-04T08:18:00-07:00",
-          "2010-03-04T08:19:00-07:00",
-          "2010-03-04T08:20:00-07:00",
-          "2010-03-04T08:21:00-07:00",
-          "2010-03-04T08:22:00-07:00",
-          "2010-03-04T08:23:00-07:00",
-          "2010-03-04T08:24:00-07:00",
-          "2010-03-04T08:25:00-07:00",
-          "2010-03-04T08:26:00-07:00",
-          "2010-03-04T08:27:00-07:00",
-          "2010-03-04T08:28:00-07:00",
-          "2010-03-04T08:29:00-07:00",
-          "2010-03-04T08:30:00-07:00",
-          "2010-03-04T08:31:00-07:00",
-          "2010-03-04T08:32:00-07:00",
-          "2010-03-04T08:33:00-07:00",
-          "2010-03-04T08:34:00-07:00",
-          "2010-03-04T08:35:00-07:00",
-          "2010-03-04T08:36:00-07:00",
-          "2010-03-04T08:37:00-07:00",
-          "2010-03-04T08:38:00-07:00",
-          "2010-03-04T08:39:00-07:00",
-          "2010-03-04T08:40:00-07:00",
-          "2010-03-04T08:41:00-07:00",
-          "2010-03-04T08:42:00-07:00",
-          "2010-03-04T08:43:00-07:00",
-          "2010-03-04T08:44:00-07:00",
-          "2010-03-04T08:45:00-07:00",
-          "2010-03-04T08:46:00-07:00",
-          "2010-03-04T08:47:00-07:00",
-          "2010-03-04T08:48:00-07:00",
-          "2010-03-04T08:49:00-07:00",
-          "2010-03-04T08:50:00-07:00",
-          "2010-03-04T08:51:00-07:00",
-          "2010-03-04T08:52:00-07:00",
-          "2010-03-04T08:53:00-07:00",
-          "2010-03-04T08:54:00-07:00",
-          "2010-03-04T08:55:00-07:00",
-          "2010-03-04T08:56:00-07:00",
-          "2010-03-04T08:57:00-07:00",
-          "2010-03-04T08:58:00-07:00",
-          "2010-03-04T08:59:00-07:00",
-          "2010-03-04T09:00:00-07:00",
-          "2010-03-04T09:01:00-07:00",
-          "2010-03-04T09:02:00-07:00",
-          "2010-03-04T09:03:00-07:00",
-          "2010-03-04T09:04:00-07:00",
-          "2010-03-04T09:05:00-07:00",
-          "2010-03-04T09:06:00-07:00",
-          "2010-03-04T09:07:00-07:00",
-          "2010-03-04T09:08:00-07:00",
-          "2010-03-04T09:09:00-07:00",
-          "2010-03-04T09:10:00-07:00",
-          "2010-03-04T09:11:00-07:00",
-          "2010-03-04T09:12:00-07:00",
-          "2010-03-04T09:13:00-07:00",
-          "2010-03-04T09:14:00-07:00",
-          "2010-03-04T09:15:00-07:00",
-          "2010-03-04T09:16:00-07:00",
-          "2010-03-04T09:17:00-07:00",
-          "2010-03-04T09:18:00-07:00",
-          "2010-03-04T09:19:00-07:00",
-          "2010-03-04T09:20:00-07:00",
-          "2010-03-04T09:21:00-07:00",
-          "2010-03-04T09:22:00-07:00",
-          "2010-03-04T09:23:00-07:00",
-          "2010-03-04T09:24:00-07:00",
-          "2010-03-04T09:25:00-07:00",
-          "2010-03-04T09:26:00-07:00",
-          "2010-03-04T09:27:00-07:00",
-          "2010-03-04T09:28:00-07:00",
-          "2010-03-04T09:29:00-07:00",
-          "2010-03-04T09:30:00-07:00",
-          "2010-03-04T09:31:00-07:00",
-          "2010-03-04T09:32:00-07:00",
-          "2010-03-04T09:33:00-07:00",
-          "2010-03-04T09:34:00-07:00",
-          "2010-03-04T09:35:00-07:00",
-          "2010-03-04T09:36:00-07:00",
-          "2010-03-04T09:37:00-07:00",
-          "2010-03-04T09:38:00-07:00",
-          "2010-03-04T09:39:00-07:00",
-          "2010-03-04T09:40:00-07:00",
-          "2010-03-04T09:41:00-07:00",
-          "2010-03-04T09:42:00-07:00",
-          "2010-03-04T09:43:00-07:00",
-          "2010-03-04T09:44:00-07:00",
-          "2010-03-04T09:45:00-07:00",
-          "2010-03-04T09:46:00-07:00",
-          "2010-03-04T09:47:00-07:00",
-          "2010-03-04T09:48:00-07:00",
-          "2010-03-04T09:49:00-07:00",
-          "2010-03-04T09:50:00-07:00",
-          "2010-03-04T09:51:00-07:00",
-          "2010-03-04T09:52:00-07:00",
-          "2010-03-04T09:53:00-07:00",
-          "2010-03-04T09:54:00-07:00",
-          "2010-03-04T09:55:00-07:00",
-          "2010-03-04T09:56:00-07:00",
-          "2010-03-04T09:57:00-07:00",
-          "2010-03-04T09:58:00-07:00",
-          "2010-03-04T09:59:00-07:00",
-          "2010-03-04T10:00:00-07:00",
-          "2010-03-04T10:01:00-07:00",
-          "2010-03-04T10:02:00-07:00",
-          "2010-03-04T10:03:00-07:00",
-          "2010-03-04T10:04:00-07:00",
-          "2010-03-04T10:05:00-07:00",
-          "2010-03-04T10:06:00-07:00",
-          "2010-03-04T10:07:00-07:00",
-          "2010-03-04T10:08:00-07:00",
-          "2010-03-04T10:09:00-07:00",
-          "2010-03-04T10:10:00-07:00",
-          "2010-03-04T10:11:00-07:00",
-          "2010-03-04T10:12:00-07:00",
-          "2010-03-04T10:13:00-07:00",
-          "2010-03-04T10:14:00-07:00",
-          "2010-03-04T10:15:00-07:00",
-          "2010-03-04T10:16:00-07:00",
-          "2010-03-04T10:17:00-07:00",
-          "2010-03-04T10:18:00-07:00",
-          "2010-03-04T10:19:00-07:00",
-          "2010-03-04T10:20:00-07:00",
-          "2010-03-04T10:21:00-07:00",
-          "2010-03-04T10:22:00-07:00",
-          "2010-03-04T10:23:00-07:00",
-          "2010-03-04T10:24:00-07:00",
-          "2010-03-04T10:25:00-07:00",
-          "2010-03-04T10:26:00-07:00",
-          "2010-03-04T10:27:00-07:00",
-          "2010-03-04T10:28:00-07:00",
-          "2010-03-04T10:29:00-07:00",
-          "2010-03-04T10:30:00-07:00",
-          "2010-03-04T10:31:00-07:00",
-          "2010-03-04T10:32:00-07:00",
-          "2010-03-04T10:33:00-07:00",
-          "2010-03-04T10:34:00-07:00",
-          "2010-03-04T10:35:00-07:00",
-          "2010-03-04T10:36:00-07:00",
-          "2010-03-04T10:37:00-07:00",
-          "2010-03-04T10:38:00-07:00",
-          "2010-03-04T10:39:00-07:00",
-          "2010-03-04T10:40:00-07:00",
-          "2010-03-04T10:41:00-07:00",
-          "2010-03-04T10:42:00-07:00",
-          "2010-03-04T10:43:00-07:00",
-          "2010-03-04T10:44:00-07:00",
-          "2010-03-04T10:45:00-07:00",
-          "2010-03-04T10:46:00-07:00",
-          "2010-03-04T10:47:00-07:00",
-          "2010-03-04T10:48:00-07:00",
-          "2010-03-04T10:49:00-07:00",
-          "2010-03-04T10:50:00-07:00",
-          "2010-03-04T10:51:00-07:00",
-          "2010-03-04T10:52:00-07:00",
-          "2010-03-04T10:53:00-07:00",
-          "2010-03-04T10:54:00-07:00",
-          "2010-03-04T10:55:00-07:00",
-          "2010-03-04T10:56:00-07:00",
-          "2010-03-04T10:57:00-07:00",
-          "2010-03-04T10:58:00-07:00",
-          "2010-03-04T10:59:00-07:00",
-          "2010-03-04T11:00:00-07:00",
-          "2010-03-04T11:01:00-07:00",
-          "2010-03-04T11:02:00-07:00",
-          "2010-03-04T11:03:00-07:00",
-          "2010-03-04T11:04:00-07:00",
-          "2010-03-04T11:05:00-07:00",
-          "2010-03-04T11:06:00-07:00",
-          "2010-03-04T11:07:00-07:00",
-          "2010-03-04T11:08:00-07:00",
-          "2010-03-04T11:09:00-07:00",
-          "2010-03-04T11:10:00-07:00",
-          "2010-03-04T11:11:00-07:00",
-          "2010-03-04T11:12:00-07:00",
-          "2010-03-04T11:13:00-07:00",
-          "2010-03-04T11:14:00-07:00",
-          "2010-03-04T11:15:00-07:00",
-          "2010-03-04T11:16:00-07:00",
-          "2010-03-04T11:17:00-07:00",
-          "2010-03-04T11:18:00-07:00",
-          "2010-03-04T11:19:00-07:00",
-          "2010-03-04T11:20:00-07:00",
-          "2010-03-04T11:21:00-07:00",
-          "2010-03-04T11:22:00-07:00",
-          "2010-03-04T11:23:00-07:00",
-          "2010-03-04T11:24:00-07:00",
-          "2010-03-04T11:25:00-07:00",
-          "2010-03-04T11:26:00-07:00",
-          "2010-03-04T11:27:00-07:00",
-          "2010-03-04T11:28:00-07:00",
-          "2010-03-04T11:29:00-07:00",
-          "2010-03-04T11:30:00-07:00",
-          "2010-03-04T11:31:00-07:00",
-          "2010-03-04T11:32:00-07:00",
-          "2010-03-04T11:33:00-07:00",
-          "2010-03-04T11:34:00-07:00",
-          "2010-03-04T11:35:00-07:00",
-          "2010-03-04T11:36:00-07:00",
-          "2010-03-04T11:37:00-07:00",
-          "2010-03-04T11:38:00-07:00",
-          "2010-03-04T11:39:00-07:00",
-          "2010-03-04T11:40:00-07:00",
-          "2010-03-04T11:41:00-07:00",
-          "2010-03-04T11:42:00-07:00",
-          "2010-03-04T11:43:00-07:00",
-          "2010-03-04T11:44:00-07:00",
-          "2010-03-04T11:45:00-07:00",
-          "2010-03-04T11:46:00-07:00",
-          "2010-03-04T11:47:00-07:00",
-          "2010-03-04T11:48:00-07:00",
-          "2010-03-04T11:49:00-07:00",
-          "2010-03-04T11:50:00-07:00",
-          "2010-03-04T11:51:00-07:00",
-          "2010-03-04T11:52:00-07:00",
-          "2010-03-04T11:53:00-07:00",
-          "2010-03-04T11:54:00-07:00",
-          "2010-03-04T11:55:00-07:00",
-          "2010-03-04T11:56:00-07:00",
-          "2010-03-04T11:57:00-07:00",
-          "2010-03-04T11:58:00-07:00",
-          "2010-03-04T11:59:00-07:00",
-          "2010-03-04T12:00:00-07:00",
-          "2010-03-04T12:01:00-07:00",
-          "2010-03-04T12:02:00-07:00",
-          "2010-03-04T12:03:00-07:00",
-          "2010-03-04T12:04:00-07:00",
-          "2010-03-04T12:05:00-07:00",
-          "2010-03-04T12:06:00-07:00",
-          "2010-03-04T12:07:00-07:00",
-          "2010-03-04T12:08:00-07:00",
-          "2010-03-04T12:09:00-07:00",
-          "2010-03-04T12:10:00-07:00",
-          "2010-03-04T12:11:00-07:00",
-          "2010-03-04T12:12:00-07:00",
-          "2010-03-04T12:13:00-07:00",
-          "2010-03-04T12:14:00-07:00",
-          "2010-03-04T12:15:00-07:00",
-          "2010-03-04T12:16:00-07:00",
-          "2010-03-04T12:17:00-07:00",
-          "2010-03-04T12:18:00-07:00",
-          "2010-03-04T12:19:00-07:00",
-          "2010-03-04T12:20:00-07:00",
-          "2010-03-04T12:21:00-07:00",
-          "2010-03-04T12:22:00-07:00",
-          "2010-03-04T12:23:00-07:00",
-          "2010-03-04T12:24:00-07:00",
-          "2010-03-04T12:25:00-07:00",
-          "2010-03-04T12:26:00-07:00",
-          "2010-03-04T12:27:00-07:00",
-          "2010-03-04T12:28:00-07:00",
-          "2010-03-04T12:29:00-07:00",
-          "2010-03-04T12:30:00-07:00",
-          "2010-03-04T12:31:00-07:00",
-          "2010-03-04T12:32:00-07:00",
-          "2010-03-04T12:33:00-07:00",
-          "2010-03-04T12:34:00-07:00",
-          "2010-03-04T12:36:00-07:00",
-          "2010-03-04T12:37:00-07:00",
-          "2010-03-04T12:38:00-07:00",
-          "2010-03-04T12:39:00-07:00",
-          "2010-03-04T12:42:00-07:00",
-          "2010-03-04T12:43:00-07:00",
-          "2010-03-04T12:44:00-07:00",
-          "2010-03-04T12:46:00-07:00",
-          "2010-03-04T12:47:00-07:00",
-          "2010-03-04T12:48:00-07:00",
-          "2010-03-04T12:49:00-07:00",
-          "2010-03-04T12:51:00-07:00",
-          "2010-03-04T12:52:00-07:00",
-          "2010-03-04T12:53:00-07:00",
-          "2010-03-04T12:54:00-07:00",
-          "2010-03-04T12:55:00-07:00",
-          "2010-03-04T12:57:00-07:00",
-          "2010-03-04T12:58:00-07:00",
-          "2010-03-04T12:59:00-07:00",
-          "2010-03-04T13:00:00-07:00",
-          "2010-03-04T13:01:00-07:00",
-          "2010-03-04T13:02:00-07:00",
-          "2010-03-04T13:03:00-07:00",
-          "2010-03-04T13:04:00-07:00",
-          "2010-03-04T13:05:00-07:00",
-          "2010-03-04T13:06:00-07:00",
-          "2010-03-04T13:07:00-07:00",
-          "2010-03-04T13:08:00-07:00",
-          "2010-03-04T13:09:00-07:00",
-          "2010-03-04T13:10:00-07:00",
-          "2010-03-04T13:11:00-07:00",
-          "2010-03-04T13:13:00-07:00",
-          "2010-03-04T13:14:00-07:00",
-          "2010-03-04T13:15:00-07:00",
-          "2010-03-04T13:16:00-07:00",
-          "2010-03-04T13:17:00-07:00",
-          "2010-03-04T13:18:00-07:00",
-          "2010-03-04T13:19:00-07:00",
-          "2010-03-04T13:20:00-07:00",
-          "2010-03-04T13:21:00-07:00",
-          "2010-03-04T13:22:00-07:00",
-          "2010-03-04T13:23:00-07:00",
-          "2010-03-04T13:24:00-07:00",
-          "2010-03-04T13:25:00-07:00",
-          "2010-03-04T13:26:00-07:00",
-          "2010-03-04T13:27:00-07:00",
-          "2010-03-04T13:28:00-07:00",
-          "2010-03-04T13:29:00-07:00",
-          "2010-03-04T13:30:00-07:00",
-          "2010-03-04T13:31:00-07:00",
-          "2010-03-04T13:32:00-07:00",
-          "2010-03-04T13:33:00-07:00",
-          "2010-03-04T13:34:00-07:00",
-          "2010-03-04T13:35:00-07:00",
-          "2010-03-04T13:36:00-07:00",
-          "2010-03-04T13:37:00-07:00",
-          "2010-03-04T13:39:00-07:00",
-          "2010-03-04T13:41:00-07:00",
-          "2010-03-04T13:42:00-07:00",
-          "2010-03-04T13:43:00-07:00",
-          "2010-03-04T13:44:00-07:00",
-          "2010-03-04T13:45:00-07:00",
-          "2010-03-04T13:46:00-07:00",
-          "2010-03-04T13:47:00-07:00",
-          "2010-03-04T13:48:00-07:00",
-          "2010-03-04T13:49:00-07:00",
-          "2010-03-04T13:50:00-07:00",
-          "2010-03-04T13:51:00-07:00",
-          "2010-03-04T13:53:00-07:00",
-          "2010-03-04T13:56:00-07:00",
-          "2010-03-04T13:57:00-07:00",
-          "2010-03-04T13:58:00-07:00",
-          "2010-03-04T13:59:00-07:00",
-          "2010-03-04T14:00:00-07:00",
-          "2010-03-04T14:01:00-07:00",
-          "2010-03-04T14:02:00-07:00",
-          "2010-03-04T14:03:00-07:00",
-          "2010-03-04T14:04:00-07:00",
-          "2010-03-04T14:05:00-07:00",
-          "2010-03-04T14:06:00-07:00",
-          "2010-03-04T14:07:00-07:00",
-          "2010-03-04T14:08:00-07:00",
-          "2010-03-04T14:09:00-07:00",
-          "2010-03-04T14:10:00-07:00",
-          "2010-03-04T14:11:00-07:00",
-          "2010-03-04T14:12:00-07:00",
-          "2010-03-04T14:13:00-07:00",
-          "2010-03-04T14:14:00-07:00",
-          "2010-03-04T14:15:00-07:00",
-          "2010-03-04T14:16:00-07:00",
-          "2010-03-04T14:17:00-07:00",
-          "2010-03-04T14:18:00-07:00",
-          "2010-03-04T14:19:00-07:00",
-          "2010-03-04T14:20:00-07:00",
-          "2010-03-04T14:21:00-07:00",
-          "2010-03-04T14:22:00-07:00",
-          "2010-03-04T14:23:00-07:00",
-          "2010-03-04T14:24:00-07:00",
-          "2010-03-04T14:25:00-07:00",
-          "2010-03-04T14:26:00-07:00",
-          "2010-03-04T14:27:00-07:00",
-          "2010-03-04T14:28:00-07:00",
-          "2010-03-04T14:29:00-07:00",
-          "2010-03-04T14:30:00-07:00",
-          "2010-03-04T14:31:00-07:00",
-          "2010-03-04T14:32:00-07:00",
-          "2010-03-04T14:33:00-07:00",
-          "2010-03-04T14:34:00-07:00",
-          "2010-03-04T14:35:00-07:00",
-          "2010-03-04T14:36:00-07:00",
-          "2010-03-04T14:37:00-07:00",
-          "2010-03-04T14:38:00-07:00",
-          "2010-03-04T14:39:00-07:00",
-          "2010-03-04T14:40:00-07:00",
-          "2010-03-04T14:41:00-07:00",
-          "2010-03-04T14:42:00-07:00",
-          "2010-03-04T14:43:00-07:00",
-          "2010-03-04T14:44:00-07:00",
-          "2010-03-04T14:45:00-07:00",
-          "2010-03-04T14:46:00-07:00",
-          "2010-03-04T14:47:00-07:00",
-          "2010-03-04T14:48:00-07:00",
-          "2010-03-04T14:49:00-07:00",
-          "2010-03-04T14:50:00-07:00",
-          "2010-03-04T14:51:00-07:00",
-          "2010-03-04T14:52:00-07:00",
-          "2010-03-04T14:53:00-07:00",
-          "2010-03-04T14:54:00-07:00",
-          "2010-03-04T14:55:00-07:00",
-          "2010-03-04T14:56:00-07:00",
-          "2010-03-04T14:57:00-07:00",
-          "2010-03-04T14:58:00-07:00",
-          "2010-03-04T14:59:00-07:00",
-          "2010-03-04T15:00:00-07:00",
-          "2010-03-04T15:01:00-07:00",
-          "2010-03-04T15:02:00-07:00",
-          "2010-03-04T15:03:00-07:00",
-          "2010-03-04T15:04:00-07:00",
-          "2010-03-04T15:05:00-07:00",
-          "2010-03-04T15:06:00-07:00",
-          "2010-03-04T15:07:00-07:00",
-          "2010-03-04T15:08:00-07:00",
-          "2010-03-04T15:09:00-07:00",
-          "2010-03-04T15:10:00-07:00",
-          "2010-03-04T15:11:00-07:00",
-          "2010-03-04T15:12:00-07:00",
-          "2010-03-04T15:13:00-07:00",
-          "2010-03-04T15:14:00-07:00",
-          "2010-03-04T15:15:00-07:00",
-          "2010-03-04T15:16:00-07:00",
-          "2010-03-04T15:17:00-07:00",
-          "2010-03-04T15:18:00-07:00",
-          "2010-03-04T15:19:00-07:00",
-          "2010-03-04T15:20:00-07:00",
-          "2010-03-04T15:21:00-07:00",
-          "2010-03-04T15:22:00-07:00",
-          "2010-03-04T15:23:00-07:00",
-          "2010-03-04T15:24:00-07:00",
-          "2010-03-04T15:25:00-07:00",
-          "2010-03-04T15:26:00-07:00",
-          "2010-03-04T15:27:00-07:00",
-          "2010-03-04T15:28:00-07:00",
-          "2010-03-04T15:29:00-07:00",
-          "2010-03-04T15:30:00-07:00",
-          "2010-03-04T15:31:00-07:00",
-          "2010-03-04T15:32:00-07:00",
-          "2010-03-04T15:33:00-07:00",
-          "2010-03-04T15:34:00-07:00",
-          "2010-03-04T15:35:00-07:00",
-          "2010-03-04T15:36:00-07:00",
-          "2010-03-04T15:37:00-07:00",
-          "2010-03-04T15:38:00-07:00",
-          "2010-03-04T15:39:00-07:00",
-          "2010-03-04T15:40:00-07:00",
-          "2010-03-04T15:41:00-07:00",
-          "2010-03-04T15:42:00-07:00",
-          "2010-03-04T15:43:00-07:00",
-          "2010-03-04T15:44:00-07:00",
-          "2010-03-04T15:45:00-07:00",
-          "2010-03-04T15:46:00-07:00",
-          "2010-03-04T15:47:00-07:00",
-          "2010-03-04T15:48:00-07:00",
-          "2010-03-04T15:49:00-07:00",
-          "2010-03-04T15:50:00-07:00",
-          "2010-03-04T15:51:00-07:00",
-          "2010-03-04T15:52:00-07:00",
-          "2010-03-04T15:53:00-07:00",
-          "2010-03-04T15:54:00-07:00",
-          "2010-03-04T15:55:00-07:00",
-          "2010-03-04T15:56:00-07:00",
-          "2010-03-04T15:57:00-07:00",
-          "2010-03-04T15:58:00-07:00",
-          "2010-03-04T15:59:00-07:00",
-          "2010-03-04T16:00:00-07:00",
-          "2010-03-04T16:01:00-07:00",
-          "2010-03-04T16:02:00-07:00",
-          "2010-03-04T16:03:00-07:00",
-          "2010-03-04T16:04:00-07:00",
-          "2010-03-04T16:05:00-07:00",
-          "2010-03-04T16:06:00-07:00",
-          "2010-03-04T16:07:00-07:00",
-          "2010-03-04T16:08:00-07:00",
-          "2010-03-04T16:09:00-07:00",
-          "2010-03-04T16:10:00-07:00",
-          "2010-03-04T16:11:00-07:00",
-          "2010-03-04T16:12:00-07:00",
-          "2010-03-04T16:13:00-07:00",
-          "2010-03-04T16:14:00-07:00",
-          "2010-03-04T16:15:00-07:00",
-          "2010-03-04T16:16:00-07:00",
-          "2010-03-04T16:17:00-07:00",
-          "2010-03-04T16:18:00-07:00",
-          "2010-03-04T16:19:00-07:00",
-          "2010-03-04T16:20:00-07:00",
-          "2010-03-04T16:21:00-07:00",
-          "2010-03-04T16:22:00-07:00",
-          "2010-03-04T16:23:00-07:00",
-          "2010-03-04T16:24:00-07:00",
-          "2010-03-04T16:25:00-07:00",
-          "2010-03-04T16:26:00-07:00",
-          "2010-03-04T16:27:00-07:00",
-          "2010-03-04T16:28:00-07:00",
-          "2010-03-04T16:29:00-07:00",
-          "2010-03-04T16:30:00-07:00",
-          "2010-03-04T16:31:00-07:00",
-          "2010-03-04T16:32:00-07:00",
-          "2010-03-04T16:33:00-07:00",
-          "2010-03-04T16:34:00-07:00",
-          "2010-03-04T16:35:00-07:00",
-          "2010-03-04T16:36:00-07:00",
-          "2010-03-04T16:37:00-07:00",
-          "2010-03-04T16:38:00-07:00",
-          "2010-03-04T16:39:00-07:00",
-          "2010-03-04T16:40:00-07:00",
-          "2010-03-04T16:41:00-07:00",
-          "2010-03-04T16:42:00-07:00",
-          "2010-03-04T16:43:00-07:00",
-          "2010-03-04T16:44:00-07:00",
-          "2010-03-04T16:45:00-07:00",
-          "2010-03-04T16:46:00-07:00",
-          "2010-03-04T16:47:00-07:00",
-          "2010-03-04T16:48:00-07:00",
-          "2010-03-04T16:49:00-07:00",
-          "2010-03-04T16:50:00-07:00",
-          "2010-03-04T16:51:00-07:00",
-          "2010-03-04T16:52:00-07:00",
-          "2010-03-04T16:53:00-07:00",
-          "2010-03-04T16:54:00-07:00",
-          "2010-03-04T16:55:00-07:00",
-          "2010-03-04T16:56:00-07:00",
-          "2010-03-04T16:57:00-07:00",
-          "2010-03-04T16:58:00-07:00",
-          "2010-03-04T16:59:00-07:00",
-          "2010-03-04T17:00:00-07:00",
-          "2010-03-04T17:01:00-07:00",
-          "2010-03-04T17:02:00-07:00",
-          "2010-03-04T17:03:00-07:00",
-          "2010-03-04T17:04:00-07:00",
-          "2010-03-04T17:05:00-07:00",
-          "2010-03-04T17:06:00-07:00",
-          "2010-03-04T17:07:00-07:00",
-          "2010-03-04T17:08:00-07:00",
-          "2010-03-04T17:09:00-07:00",
-          "2010-03-04T17:10:00-07:00",
-          "2010-03-04T17:11:00-07:00",
-          "2010-03-04T17:12:00-07:00",
-          "2010-03-04T17:13:00-07:00",
-          "2010-03-04T17:14:00-07:00",
-          "2010-03-04T17:15:00-07:00",
-          "2010-03-04T17:16:00-07:00",
-          "2010-03-04T17:17:00-07:00",
-          "2010-03-04T17:18:00-07:00",
-          "2010-03-04T17:19:00-07:00",
-          "2010-03-04T17:20:00-07:00",
-          "2010-03-04T17:21:00-07:00",
-          "2010-03-04T17:22:00-07:00",
-          "2010-03-04T17:23:00-07:00",
-          "2010-03-04T17:24:00-07:00",
-          "2010-03-04T17:25:00-07:00",
-          "2010-03-04T17:26:00-07:00",
-          "2010-03-04T17:27:00-07:00",
-          "2010-03-04T17:28:00-07:00",
-          "2010-03-04T17:29:00-07:00",
-          "2010-03-04T17:30:00-07:00",
-          "2010-03-04T17:31:00-07:00",
-          "2010-03-04T17:32:00-07:00",
-          "2010-03-04T17:33:00-07:00",
-          "2010-03-04T17:34:00-07:00",
-          "2010-03-04T17:35:00-07:00",
-          "2010-03-04T17:36:00-07:00",
-          "2010-03-04T17:37:00-07:00",
-          "2010-03-04T17:38:00-07:00",
-          "2010-03-04T17:39:00-07:00",
-          "2010-03-04T17:40:00-07:00",
-          "2010-03-04T17:41:00-07:00",
-          "2010-03-04T17:42:00-07:00",
-          "2010-03-04T17:43:00-07:00",
-          "2010-03-04T17:44:00-07:00",
-          "2010-03-04T17:45:00-07:00",
-          "2010-03-04T17:46:00-07:00",
-          "2010-03-04T17:47:00-07:00",
-          "2010-03-04T17:48:00-07:00",
-          "2010-03-04T17:49:00-07:00",
-          "2010-03-04T17:50:00-07:00",
-          "2010-03-04T17:51:00-07:00",
-          "2010-03-04T17:52:00-07:00",
-          "2010-03-04T17:53:00-07:00",
-          "2010-03-04T17:54:00-07:00",
-          "2010-03-04T17:55:00-07:00",
-          "2010-03-04T17:56:00-07:00",
-          "2010-03-04T17:57:00-07:00",
-          "2010-03-04T17:58:00-07:00",
-          "2010-03-04T17:59:00-07:00",
-          "2010-03-04T18:00:00-07:00",
-          "2010-03-04T18:01:00-07:00",
-          "2010-03-04T18:02:00-07:00",
-          "2010-03-04T18:03:00-07:00",
-          "2010-03-04T18:04:00-07:00",
-          "2010-03-04T18:05:00-07:00",
-          "2010-03-04T18:06:00-07:00",
-          "2010-03-04T18:07:00-07:00",
-          "2010-03-04T18:08:00-07:00",
-          "2010-03-04T18:09:00-07:00",
-          "2010-03-04T18:10:00-07:00",
-          "2010-03-04T18:11:00-07:00",
-          "2010-03-04T18:12:00-07:00",
-          "2010-03-04T18:13:00-07:00",
-          "2010-03-04T18:14:00-07:00",
-          "2010-03-04T18:15:00-07:00",
-          "2010-03-04T18:16:00-07:00",
-          "2010-03-04T18:17:00-07:00",
-          "2010-03-04T18:18:00-07:00",
-          "2010-03-04T18:19:00-07:00",
-          "2010-03-04T18:20:00-07:00",
-          "2010-03-04T18:21:00-07:00",
-          "2010-03-04T18:22:00-07:00",
-          "2010-03-04T18:23:00-07:00",
-          "2010-03-04T18:24:00-07:00",
-          "2010-03-04T18:25:00-07:00",
-          "2010-03-04T18:26:00-07:00",
-          "2010-03-04T18:27:00-07:00",
-          "2010-03-04T18:28:00-07:00",
-          "2010-03-04T18:29:00-07:00",
-          "2010-03-04T18:30:00-07:00",
-          "2010-03-04T18:31:00-07:00",
-          "2010-03-04T18:32:00-07:00",
-          "2010-03-04T18:33:00-07:00",
-          "2010-03-04T18:34:00-07:00",
-          "2010-03-04T18:35:00-07:00",
-          "2010-03-04T18:36:00-07:00",
-          "2010-03-04T18:37:00-07:00",
-          "2010-03-04T18:38:00-07:00",
-          "2010-03-04T18:39:00-07:00",
-          "2010-03-04T18:40:00-07:00",
-          "2010-03-04T18:41:00-07:00",
-          "2010-03-04T18:42:00-07:00",
-          "2010-03-04T18:43:00-07:00",
-          "2010-03-04T18:44:00-07:00",
-          "2010-03-04T18:45:00-07:00",
-          "2010-03-04T18:46:00-07:00",
-          "2010-03-04T18:47:00-07:00",
-          "2010-03-04T18:48:00-07:00",
-          "2010-03-04T18:49:00-07:00",
-          "2010-03-04T18:50:00-07:00",
-          "2010-03-04T18:51:00-07:00",
-          "2010-03-04T18:52:00-07:00",
-          "2010-03-04T18:53:00-07:00",
-          "2010-03-04T18:54:00-07:00",
-          "2010-03-04T18:55:00-07:00",
-          "2010-03-04T18:56:00-07:00",
-          "2010-03-04T18:57:00-07:00",
-          "2010-03-04T18:58:00-07:00",
-          "2010-03-04T18:59:00-07:00",
-          "2010-03-04T19:00:00-07:00",
-          "2010-03-04T19:01:00-07:00",
-          "2010-03-04T19:02:00-07:00",
-          "2010-03-04T19:03:00-07:00",
-          "2010-03-04T19:04:00-07:00",
-          "2010-03-04T19:05:00-07:00",
-          "2010-03-04T19:06:00-07:00",
-          "2010-03-04T19:07:00-07:00",
-          "2010-03-04T19:08:00-07:00",
-          "2010-03-04T19:09:00-07:00",
-          "2010-03-04T19:10:00-07:00",
-          "2010-03-04T19:11:00-07:00",
-          "2010-03-04T19:12:00-07:00",
-          "2010-03-04T19:13:00-07:00",
-          "2010-03-04T19:14:00-07:00",
-          "2010-03-04T19:15:00-07:00",
-          "2010-03-04T19:16:00-07:00",
-          "2010-03-04T19:17:00-07:00",
-          "2010-03-04T19:18:00-07:00",
-          "2010-03-04T19:19:00-07:00",
-          "2010-03-04T19:20:00-07:00",
-          "2010-03-04T19:21:00-07:00",
-          "2010-03-04T19:22:00-07:00",
-          "2010-03-04T19:23:00-07:00",
-          "2010-03-04T19:24:00-07:00",
-          "2010-03-04T19:25:00-07:00",
-          "2010-03-04T19:26:00-07:00",
-          "2010-03-04T19:27:00-07:00",
-          "2010-03-04T19:28:00-07:00",
-          "2010-03-04T19:29:00-07:00",
-          "2010-03-04T19:30:00-07:00",
-          "2010-03-04T19:31:00-07:00",
-          "2010-03-04T19:32:00-07:00",
-          "2010-03-04T19:33:00-07:00",
-          "2010-03-04T19:34:00-07:00",
-          "2010-03-04T19:35:00-07:00",
-          "2010-03-04T19:36:00-07:00",
-          "2010-03-04T19:37:00-07:00",
-          "2010-03-04T19:38:00-07:00",
-          "2010-03-04T19:39:00-07:00",
-          "2010-03-04T19:40:00-07:00",
-          "2010-03-04T19:41:00-07:00",
-          "2010-03-04T19:42:00-07:00",
-          "2010-03-04T19:43:00-07:00",
-          "2010-03-04T19:44:00-07:00",
-          "2010-03-04T19:45:00-07:00",
-          "2010-03-04T19:46:00-07:00",
-          "2010-03-04T19:47:00-07:00",
-          "2010-03-04T19:48:00-07:00",
-          "2010-03-04T19:49:00-07:00",
-          "2010-03-04T19:50:00-07:00",
-          "2010-03-04T19:51:00-07:00",
-          "2010-03-04T19:52:00-07:00",
-          "2010-03-04T19:53:00-07:00",
-          "2010-03-04T19:54:00-07:00",
-          "2010-03-04T19:55:00-07:00",
-          "2010-03-04T19:56:00-07:00",
-          "2010-03-04T19:57:00-07:00",
-          "2010-03-04T19:58:00-07:00",
-          "2010-03-04T19:59:00-07:00",
-          "2010-03-04T20:00:00-07:00",
-          "2010-03-04T20:01:00-07:00",
-          "2010-03-04T20:02:00-07:00",
-          "2010-03-04T20:03:00-07:00",
-          "2010-03-04T20:04:00-07:00",
-          "2010-03-04T20:05:00-07:00",
-          "2010-03-04T20:06:00-07:00",
-          "2010-03-04T20:07:00-07:00",
-          "2010-03-04T20:08:00-07:00",
-          "2010-03-04T20:09:00-07:00",
-          "2010-03-04T20:10:00-07:00",
-          "2010-03-04T20:11:00-07:00",
-          "2010-03-04T20:12:00-07:00",
-          "2010-03-04T20:13:00-07:00",
-          "2010-03-04T20:14:00-07:00",
-          "2010-03-04T20:15:00-07:00",
-          "2010-03-04T20:16:00-07:00",
-          "2010-03-04T20:17:00-07:00",
-          "2010-03-04T20:18:00-07:00",
-          "2010-03-04T20:19:00-07:00",
-          "2010-03-04T20:20:00-07:00",
-          "2010-03-04T20:21:00-07:00",
-          "2010-03-04T20:22:00-07:00",
-          "2010-03-04T20:23:00-07:00",
-          "2010-03-04T20:24:00-07:00",
-          "2010-03-04T20:25:00-07:00",
-          "2010-03-04T20:26:00-07:00",
-          "2010-03-04T20:27:00-07:00",
-          "2010-03-04T20:28:00-07:00",
-          "2010-03-04T20:29:00-07:00",
-          "2010-03-04T20:30:00-07:00",
-          "2010-03-04T20:31:00-07:00",
-          "2010-03-04T20:32:00-07:00",
-          "2010-03-04T20:33:00-07:00",
-          "2010-03-04T20:34:00-07:00",
-          "2010-03-04T20:35:00-07:00",
-          "2010-03-04T20:36:00-07:00",
-          "2010-03-04T20:37:00-07:00",
-          "2010-03-04T20:38:00-07:00",
-          "2010-03-04T20:39:00-07:00",
-          "2010-03-04T20:40:00-07:00",
-          "2010-03-04T20:41:00-07:00",
-          "2010-03-04T20:42:00-07:00",
-          "2010-03-04T20:43:00-07:00",
-          "2010-03-04T20:44:00-07:00",
-          "2010-03-04T20:45:00-07:00",
-          "2010-03-04T20:46:00-07:00",
-          "2010-03-04T20:47:00-07:00",
-          "2010-03-04T20:48:00-07:00",
-          "2010-03-04T20:49:00-07:00",
-          "2010-03-04T20:50:00-07:00",
-          "2010-03-04T20:51:00-07:00",
-          "2010-03-04T20:52:00-07:00",
-          "2010-03-04T20:53:00-07:00",
-          "2010-03-04T20:54:00-07:00",
-          "2010-03-04T20:55:00-07:00",
-          "2010-03-04T20:56:00-07:00",
-          "2010-03-04T20:57:00-07:00",
-          "2010-03-04T20:58:00-07:00",
-          "2010-03-04T20:59:00-07:00",
-          "2010-03-04T21:00:00-07:00",
-          "2010-03-04T21:01:00-07:00",
-          "2010-03-04T21:02:00-07:00",
-          "2010-03-04T21:03:00-07:00",
-          "2010-03-04T21:04:00-07:00",
-          "2010-03-04T21:05:00-07:00",
-          "2010-03-04T21:06:00-07:00",
-          "2010-03-04T21:07:00-07:00",
-          "2010-03-04T21:08:00-07:00",
-          "2010-03-04T21:09:00-07:00",
-          "2010-03-04T21:10:00-07:00",
-          "2010-03-04T21:11:00-07:00",
-          "2010-03-04T21:12:00-07:00",
-          "2010-03-04T21:13:00-07:00",
-          "2010-03-04T21:14:00-07:00",
-          "2010-03-04T21:15:00-07:00",
-          "2010-03-04T21:16:00-07:00",
-          "2010-03-04T21:17:00-07:00",
-          "2010-03-04T21:18:00-07:00",
-          "2010-03-04T21:19:00-07:00",
-          "2010-03-04T21:20:00-07:00",
-          "2010-03-04T21:21:00-07:00",
-          "2010-03-04T21:22:00-07:00",
-          "2010-03-04T21:23:00-07:00",
-          "2010-03-04T21:24:00-07:00",
-          "2010-03-04T21:25:00-07:00",
-          "2010-03-04T21:26:00-07:00",
-          "2010-03-04T21:27:00-07:00",
-          "2010-03-04T21:28:00-07:00",
-          "2010-03-04T21:29:00-07:00",
-          "2010-03-04T21:30:00-07:00",
-          "2010-03-04T21:31:00-07:00",
-          "2010-03-04T21:32:00-07:00",
-          "2010-03-04T21:33:00-07:00",
-          "2010-03-04T21:34:00-07:00",
-          "2010-03-04T21:35:00-07:00",
-          "2010-03-04T21:36:00-07:00",
-          "2010-03-04T21:37:00-07:00",
-          "2010-03-04T21:38:00-07:00",
-          "2010-03-04T21:39:00-07:00",
-          "2010-03-04T21:40:00-07:00",
-          "2010-03-04T21:41:00-07:00",
-          "2010-03-04T21:42:00-07:00",
-          "2010-03-04T21:43:00-07:00",
-          "2010-03-04T21:44:00-07:00",
-          "2010-03-04T21:45:00-07:00",
-          "2010-03-04T21:46:00-07:00",
-          "2010-03-04T21:47:00-07:00",
-          "2010-03-04T21:48:00-07:00",
-          "2010-03-04T21:49:00-07:00",
-          "2010-03-04T21:50:00-07:00",
-          "2010-03-04T21:51:00-07:00",
-          "2010-03-04T21:52:00-07:00",
-          "2010-03-04T21:53:00-07:00",
-          "2010-03-04T21:54:00-07:00",
-          "2010-03-04T21:55:00-07:00",
-          "2010-03-04T21:56:00-07:00",
-          "2010-03-04T21:57:00-07:00",
-          "2010-03-04T21:58:00-07:00",
-          "2010-03-04T21:59:00-07:00",
-          "2010-03-04T22:00:00-07:00",
-          "2010-03-04T22:01:00-07:00",
-          "2010-03-04T22:02:00-07:00",
-          "2010-03-04T22:03:00-07:00",
-          "2010-03-04T22:04:00-07:00",
-          "2010-03-04T22:05:00-07:00",
-          "2010-03-04T22:06:00-07:00",
-          "2010-03-04T22:07:00-07:00",
-          "2010-03-04T22:08:00-07:00",
-          "2010-03-04T22:09:00-07:00",
-          "2010-03-04T22:10:00-07:00",
-          "2010-03-04T22:11:00-07:00",
-          "2010-03-04T22:12:00-07:00",
-          "2010-03-04T22:13:00-07:00",
-          "2010-03-04T22:14:00-07:00",
-          "2010-03-04T22:15:00-07:00",
-          "2010-03-04T22:16:00-07:00",
-          "2010-03-04T22:17:00-07:00",
-          "2010-03-04T22:18:00-07:00",
-          "2010-03-04T22:19:00-07:00",
-          "2010-03-04T22:20:00-07:00",
-          "2010-03-04T22:21:00-07:00",
-          "2010-03-04T22:22:00-07:00",
-          "2010-03-04T22:23:00-07:00",
-          "2010-03-04T22:24:00-07:00",
-          "2010-03-04T22:25:00-07:00",
-          "2010-03-04T22:26:00-07:00",
-          "2010-03-04T22:27:00-07:00",
-          "2010-03-04T22:28:00-07:00",
-          "2010-03-04T22:29:00-07:00",
-          "2010-03-04T22:30:00-07:00",
-          "2010-03-04T22:31:00-07:00",
-          "2010-03-04T22:32:00-07:00",
-          "2010-03-04T22:33:00-07:00",
-          "2010-03-04T22:34:00-07:00",
-          "2010-03-04T22:35:00-07:00",
-          "2010-03-04T22:36:00-07:00",
-          "2010-03-04T22:37:00-07:00",
-          "2010-03-04T22:38:00-07:00",
-          "2010-03-04T22:39:00-07:00",
-          "2010-03-04T22:40:00-07:00",
-          "2010-03-04T22:41:00-07:00",
-          "2010-03-04T22:42:00-07:00",
-          "2010-03-04T22:43:00-07:00",
-          "2010-03-04T22:44:00-07:00",
-          "2010-03-04T22:45:00-07:00",
-          "2010-03-04T22:46:00-07:00",
-          "2010-03-04T22:47:00-07:00",
-          "2010-03-04T22:48:00-07:00",
-          "2010-03-04T22:49:00-07:00",
-          "2010-03-04T22:50:00-07:00",
-          "2010-03-04T22:51:00-07:00",
-          "2010-03-04T22:52:00-07:00",
-          "2010-03-04T22:53:00-07:00",
-          "2010-03-04T22:54:00-07:00",
-          "2010-03-04T22:55:00-07:00",
-          "2010-03-04T22:56:00-07:00",
-          "2010-03-04T22:57:00-07:00",
-          "2010-03-04T22:58:00-07:00",
-          "2010-03-04T22:59:00-07:00",
-          "2010-03-04T23:00:00-07:00",
-          "2010-03-04T23:01:00-07:00",
-          "2010-03-04T23:02:00-07:00",
-          "2010-03-04T23:03:00-07:00",
-          "2010-03-04T23:04:00-07:00",
-          "2010-03-04T23:05:00-07:00",
-          "2010-03-04T23:06:00-07:00",
-          "2010-03-04T23:07:00-07:00",
-          "2010-03-04T23:08:00-07:00",
-          "2010-03-04T23:09:00-07:00",
-          "2010-03-04T23:10:00-07:00",
-          "2010-03-04T23:11:00-07:00",
-          "2010-03-04T23:12:00-07:00",
-          "2010-03-04T23:13:00-07:00",
-          "2010-03-04T23:14:00-07:00",
-          "2010-03-04T23:15:00-07:00",
-          "2010-03-04T23:16:00-07:00",
-          "2010-03-04T23:17:00-07:00",
-          "2010-03-04T23:18:00-07:00",
-          "2010-03-04T23:19:00-07:00",
-          "2010-03-04T23:20:00-07:00",
-          "2010-03-04T23:21:00-07:00",
-          "2010-03-04T23:22:00-07:00",
-          "2010-03-04T23:23:00-07:00",
-          "2010-03-04T23:24:00-07:00",
-          "2010-03-04T23:25:00-07:00",
-          "2010-03-04T23:26:00-07:00",
-          "2010-03-04T23:27:00-07:00",
-          "2010-03-04T23:28:00-07:00",
-          "2010-03-04T23:29:00-07:00",
-          "2010-03-04T23:30:00-07:00",
-          "2010-03-04T23:31:00-07:00",
-          "2010-03-04T23:32:00-07:00",
-          "2010-03-04T23:33:00-07:00",
-          "2010-03-04T23:34:00-07:00",
-          "2010-03-04T23:35:00-07:00",
-          "2010-03-04T23:36:00-07:00",
-          "2010-03-04T23:37:00-07:00",
-          "2010-03-04T23:38:00-07:00",
-          "2010-03-04T23:39:00-07:00",
-          "2010-03-04T23:40:00-07:00",
-          "2010-03-04T23:41:00-07:00",
-          "2010-03-04T23:42:00-07:00",
-          "2010-03-04T23:43:00-07:00",
-          "2010-03-04T23:44:00-07:00",
-          "2010-03-04T23:45:00-07:00",
-          "2010-03-04T23:46:00-07:00",
-          "2010-03-04T23:47:00-07:00",
-          "2010-03-04T23:48:00-07:00",
-          "2010-03-04T23:49:00-07:00",
-          "2010-03-04T23:50:00-07:00",
-          "2010-03-04T23:51:00-07:00",
-          "2010-03-04T23:52:00-07:00",
-          "2010-03-04T23:53:00-07:00",
-          "2010-03-04T23:54:00-07:00",
-          "2010-03-04T23:55:00-07:00",
-          "2010-03-04T23:56:00-07:00",
-          "2010-03-04T23:57:00-07:00",
-          "2010-03-04T23:58:00-07:00",
-          "2010-03-04T23:59:00-07:00",
-          "2010-03-05T00:00:00-07:00",
-          "2010-03-05T00:01:00-07:00",
-          "2010-03-05T00:02:00-07:00",
-          "2010-03-05T00:03:00-07:00",
-          "2010-03-05T00:04:00-07:00",
-          "2010-03-05T00:05:00-07:00",
-          "2010-03-05T00:06:00-07:00",
-          "2010-03-05T00:07:00-07:00",
-          "2010-03-05T00:08:00-07:00",
-          "2010-03-05T00:09:00-07:00",
-          "2010-03-05T00:10:00-07:00",
-          "2010-03-05T00:11:00-07:00",
-          "2010-03-05T00:12:00-07:00",
-          "2010-03-05T00:13:00-07:00",
-          "2010-03-05T00:14:00-07:00",
-          "2010-03-05T00:15:00-07:00",
-          "2010-03-05T00:16:00-07:00",
-          "2010-03-05T00:17:00-07:00",
-          "2010-03-05T00:18:00-07:00",
-          "2010-03-05T00:19:00-07:00",
-          "2010-03-05T00:20:00-07:00",
-          "2010-03-05T00:21:00-07:00",
-          "2010-03-05T00:22:00-07:00",
-          "2010-03-05T00:23:00-07:00",
-          "2010-03-05T00:24:00-07:00",
-          "2010-03-05T00:25:00-07:00",
-          "2010-03-05T00:26:00-07:00",
-          "2010-03-05T00:27:00-07:00",
-          "2010-03-05T00:28:00-07:00",
-          "2010-03-05T00:29:00-07:00",
-          "2010-03-05T00:30:00-07:00",
-          "2010-03-05T00:31:00-07:00",
-          "2010-03-05T00:32:00-07:00",
-          "2010-03-05T00:33:00-07:00",
-          "2010-03-05T00:34:00-07:00",
-          "2010-03-05T00:35:00-07:00",
-          "2010-03-05T00:36:00-07:00",
-          "2010-03-05T00:37:00-07:00",
-          "2010-03-05T00:38:00-07:00",
-          "2010-03-05T00:39:00-07:00",
-          "2010-03-05T00:40:00-07:00",
-          "2010-03-05T00:41:00-07:00",
-          "2010-03-05T00:42:00-07:00",
-          "2010-03-05T00:43:00-07:00",
-          "2010-03-05T00:44:00-07:00",
-          "2010-03-05T00:45:00-07:00",
-          "2010-03-05T00:46:00-07:00",
-          "2010-03-05T00:47:00-07:00",
-          "2010-03-05T00:48:00-07:00",
-          "2010-03-05T00:49:00-07:00",
-          "2010-03-05T00:50:00-07:00",
-          "2010-03-05T00:51:00-07:00",
-          "2010-03-05T00:52:00-07:00",
-          "2010-03-05T00:53:00-07:00",
-          "2010-03-05T00:54:00-07:00",
-          "2010-03-05T00:55:00-07:00",
-          "2010-03-05T00:56:00-07:00",
-          "2010-03-05T00:57:00-07:00",
-          "2010-03-05T00:58:00-07:00",
-          "2010-03-05T00:59:00-07:00",
-          "2010-03-05T01:00:00-07:00",
-          "2010-03-05T01:01:00-07:00",
-          "2010-03-05T01:02:00-07:00",
-          "2010-03-05T01:03:00-07:00",
-          "2010-03-05T01:04:00-07:00",
-          "2010-03-05T01:05:00-07:00",
-          "2010-03-05T01:06:00-07:00",
-          "2010-03-05T01:07:00-07:00",
-          "2010-03-05T01:08:00-07:00",
-          "2010-03-05T01:09:00-07:00",
-          "2010-03-05T01:10:00-07:00",
-          "2010-03-05T01:11:00-07:00",
-          "2010-03-05T01:12:00-07:00",
-          "2010-03-05T01:13:00-07:00",
-          "2010-03-05T01:14:00-07:00",
-          "2010-03-05T01:15:00-07:00",
-          "2010-03-05T01:16:00-07:00",
-          "2010-03-05T01:17:00-07:00",
-          "2010-03-05T01:18:00-07:00",
-          "2010-03-05T01:19:00-07:00",
-          "2010-03-05T01:20:00-07:00",
-          "2010-03-05T01:21:00-07:00",
-          "2010-03-05T01:22:00-07:00",
-          "2010-03-05T01:23:00-07:00",
-          "2010-03-05T01:24:00-07:00",
-          "2010-03-05T01:25:00-07:00",
-          "2010-03-05T01:26:00-07:00",
-          "2010-03-05T01:27:00-07:00",
-          "2010-03-05T01:28:00-07:00",
-          "2010-03-05T01:29:00-07:00",
-          "2010-03-05T01:30:00-07:00",
-          "2010-03-05T01:31:00-07:00",
-          "2010-03-05T01:32:00-07:00",
-          "2010-03-05T01:33:00-07:00",
-          "2010-03-05T01:34:00-07:00",
-          "2010-03-05T01:35:00-07:00",
-          "2010-03-05T01:36:00-07:00",
-          "2010-03-05T01:37:00-07:00",
-          "2010-03-05T01:38:00-07:00",
-          "2010-03-05T01:39:00-07:00",
-          "2010-03-05T01:40:00-07:00",
-          "2010-03-05T01:41:00-07:00",
-          "2010-03-05T01:42:00-07:00",
-          "2010-03-05T01:43:00-07:00",
-          "2010-03-05T01:44:00-07:00",
-          "2010-03-05T01:45:00-07:00",
-          "2010-03-05T01:46:00-07:00",
-          "2010-03-05T01:47:00-07:00",
-          "2010-03-05T01:48:00-07:00",
-          "2010-03-05T01:49:00-07:00",
-          "2010-03-05T01:50:00-07:00",
-          "2010-03-05T01:51:00-07:00",
-          "2010-03-05T01:52:00-07:00",
-          "2010-03-05T01:53:00-07:00",
-          "2010-03-05T01:54:00-07:00",
-          "2010-03-05T01:55:00-07:00",
-          "2010-03-05T01:56:00-07:00",
-          "2010-03-05T01:57:00-07:00",
-          "2010-03-05T01:58:00-07:00",
-          "2010-03-05T01:59:00-07:00",
-          "2010-03-05T02:00:00-07:00",
-          "2010-03-05T02:01:00-07:00",
-          "2010-03-05T02:02:00-07:00",
-          "2010-03-05T02:03:00-07:00",
-          "2010-03-05T02:04:00-07:00",
-          "2010-03-05T02:05:00-07:00",
-          "2010-03-05T02:06:00-07:00",
-          "2010-03-05T02:07:00-07:00",
-          "2010-03-05T02:08:00-07:00",
-          "2010-03-05T02:09:00-07:00",
-          "2010-03-05T02:10:00-07:00",
-          "2010-03-05T02:11:00-07:00",
-          "2010-03-05T02:12:00-07:00",
-          "2010-03-05T02:13:00-07:00",
-          "2010-03-05T02:14:00-07:00",
-          "2010-03-05T02:15:00-07:00",
-          "2010-03-05T02:16:00-07:00",
-          "2010-03-05T02:17:00-07:00",
-          "2010-03-05T02:18:00-07:00",
-          "2010-03-05T02:19:00-07:00",
-          "2010-03-05T02:20:00-07:00",
-          "2010-03-05T02:21:00-07:00",
-          "2010-03-05T02:22:00-07:00",
-          "2010-03-05T02:23:00-07:00",
-          "2010-03-05T02:24:00-07:00",
-          "2010-03-05T02:25:00-07:00",
-          "2010-03-05T02:26:00-07:00",
-          "2010-03-05T02:27:00-07:00",
-          "2010-03-05T02:28:00-07:00",
-          "2010-03-05T02:29:00-07:00",
-          "2010-03-05T02:30:00-07:00",
-          "2010-03-05T02:31:00-07:00",
-          "2010-03-05T02:32:00-07:00",
-          "2010-03-05T02:33:00-07:00",
-          "2010-03-05T02:34:00-07:00",
-          "2010-03-05T02:35:00-07:00",
-          "2010-03-05T02:36:00-07:00",
-          "2010-03-05T02:37:00-07:00",
-          "2010-03-05T02:38:00-07:00",
-          "2010-03-05T02:39:00-07:00",
-          "2010-03-05T02:40:00-07:00",
-          "2010-03-05T02:41:00-07:00",
-          "2010-03-05T02:42:00-07:00",
-          "2010-03-05T02:43:00-07:00",
-          "2010-03-05T02:44:00-07:00",
-          "2010-03-05T02:45:00-07:00",
-          "2010-03-05T02:46:00-07:00",
-          "2010-03-05T02:47:00-07:00",
-          "2010-03-05T02:48:00-07:00",
-          "2010-03-05T02:49:00-07:00",
-          "2010-03-05T02:50:00-07:00",
-          "2010-03-05T02:51:00-07:00",
-          "2010-03-05T02:52:00-07:00",
-          "2010-03-05T02:53:00-07:00",
-          "2010-03-05T02:54:00-07:00",
-          "2010-03-05T02:55:00-07:00",
-          "2010-03-05T02:56:00-07:00",
-          "2010-03-05T02:57:00-07:00",
-          "2010-03-05T02:58:00-07:00",
-          "2010-03-05T02:59:00-07:00",
-          "2010-03-05T03:00:00-07:00",
-          "2010-03-05T03:01:00-07:00",
-          "2010-03-05T03:02:00-07:00",
-          "2010-03-05T03:03:00-07:00",
-          "2010-03-05T03:04:00-07:00",
-          "2010-03-05T03:05:00-07:00",
-          "2010-03-05T03:06:00-07:00",
-          "2010-03-05T03:07:00-07:00",
-          "2010-03-05T03:08:00-07:00",
-          "2010-03-05T03:09:00-07:00",
-          "2010-03-05T03:10:00-07:00",
-          "2010-03-05T03:11:00-07:00",
-          "2010-03-05T03:12:00-07:00",
-          "2010-03-05T03:13:00-07:00",
-          "2010-03-05T03:14:00-07:00",
-          "2010-03-05T03:15:00-07:00",
-          "2010-03-05T03:16:00-07:00",
-          "2010-03-05T03:17:00-07:00",
-          "2010-03-05T03:18:00-07:00",
-          "2010-03-05T03:19:00-07:00",
-          "2010-03-05T03:20:00-07:00",
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-          "2010-03-05T03:22:00-07:00",
-          "2010-03-05T03:23:00-07:00",
-          "2010-03-05T03:24:00-07:00",
-          "2010-03-05T03:25:00-07:00",
-          "2010-03-05T03:26:00-07:00",
-          "2010-03-05T03:27:00-07:00",
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-          "2010-03-05T03:37:00-07:00",
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-          "2010-03-05T03:40:00-07:00",
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-          "2010-03-05T03:53:00-07:00",
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-          "2010-03-05T03:57:00-07:00",
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-          "2010-03-05T04:13:00-07:00",
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-          "2010-03-05T04:17:00-07:00",
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-          "2010-03-05T06:29:00-07:00",
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-          "2010-03-05T06:32:00-07:00",
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-          "2010-03-05T06:36:00-07:00",
-          "2010-03-05T06:37:00-07:00",
-          "2010-03-05T06:38:00-07:00",
-          "2010-03-05T06:39:00-07:00",
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-          "2010-03-05T09:26:00-07:00",
-          "2010-03-05T09:27:00-07:00",
-          "2010-03-05T09:28:00-07:00",
-          "2010-03-05T09:29:00-07:00",
-          "2010-03-05T09:30:00-07:00",
-          "2010-03-05T09:31:00-07:00",
-          "2010-03-05T09:32:00-07:00",
-          "2010-03-05T09:33:00-07:00",
-          "2010-03-05T09:34:00-07:00",
-          "2010-03-05T09:35:00-07:00",
-          "2010-03-05T09:36:00-07:00",
-          "2010-03-05T09:37:00-07:00",
-          "2010-03-05T09:38:00-07:00",
-          "2010-03-05T09:39:00-07:00",
-          "2010-03-05T09:40:00-07:00",
-          "2010-03-05T09:41:00-07:00",
-          "2010-03-05T09:42:00-07:00",
-          "2010-03-05T09:43:00-07:00",
-          "2010-03-05T09:44:00-07:00",
-          "2010-03-05T09:45:00-07:00",
-          "2010-03-05T09:46:00-07:00",
-          "2010-03-05T09:47:00-07:00",
-          "2010-03-05T09:48:00-07:00",
-          "2010-03-05T09:49:00-07:00",
-          "2010-03-05T09:50:00-07:00",
-          "2010-03-05T09:51:00-07:00",
-          "2010-03-05T09:53:00-07:00",
-          "2010-03-05T09:55:00-07:00",
-          "2010-03-05T09:56:00-07:00",
-          "2010-03-05T09:57:00-07:00",
-          "2010-03-05T09:59:00-07:00",
-          "2010-03-05T10:00:00-07:00",
-          "2010-03-05T10:02:00-07:00",
-          "2010-03-05T10:03:00-07:00",
-          "2010-03-05T10:07:00-07:00",
-          "2010-03-05T10:08:00-07:00",
-          "2010-03-05T10:09:00-07:00",
-          "2010-03-05T10:10:00-07:00",
-          "2010-03-05T10:11:00-07:00",
-          "2010-03-05T10:12:00-07:00",
-          "2010-03-05T10:13:00-07:00",
-          "2010-03-05T10:14:00-07:00",
-          "2010-03-05T10:15:00-07:00",
-          "2010-03-05T10:16:00-07:00",
-          "2010-03-05T10:17:00-07:00",
-          "2010-03-05T10:18:00-07:00",
-          "2010-03-05T10:19:00-07:00",
-          "2010-03-05T10:20:00-07:00",
-          "2010-03-05T10:21:00-07:00",
-          "2010-03-05T10:22:00-07:00",
-          "2010-03-05T10:23:00-07:00",
-          "2010-03-05T10:24:00-07:00",
-          "2010-03-05T10:25:00-07:00",
-          "2010-03-05T10:26:00-07:00",
-          "2010-03-05T10:27:00-07:00",
-          "2010-03-05T10:28:00-07:00",
-          "2010-03-05T10:29:00-07:00",
-          "2010-03-05T10:30:00-07:00",
-          "2010-03-05T10:31:00-07:00",
-          "2010-03-05T10:32:00-07:00",
-          "2010-03-05T10:33:00-07:00",
-          "2010-03-05T10:34:00-07:00",
-          "2010-03-05T10:35:00-07:00",
-          "2010-03-05T10:37:00-07:00",
-          "2010-03-05T10:38:00-07:00",
-          "2010-03-05T10:39:00-07:00",
-          "2010-03-05T10:40:00-07:00",
-          "2010-03-05T10:41:00-07:00",
-          "2010-03-05T10:42:00-07:00",
-          "2010-03-05T10:43:00-07:00",
-          "2010-03-05T10:44:00-07:00",
-          "2010-03-05T10:45:00-07:00",
-          "2010-03-05T10:46:00-07:00",
-          "2010-03-05T10:47:00-07:00",
-          "2010-03-05T10:48:00-07:00",
-          "2010-03-05T10:49:00-07:00",
-          "2010-03-05T10:50:00-07:00",
-          "2010-03-05T10:51:00-07:00",
-          "2010-03-05T10:52:00-07:00",
-          "2010-03-05T10:53:00-07:00",
-          "2010-03-05T10:54:00-07:00",
-          "2010-03-05T10:55:00-07:00",
-          "2010-03-05T10:56:00-07:00",
-          "2010-03-05T10:57:00-07:00",
-          "2010-03-05T10:58:00-07:00",
-          "2010-03-05T10:59:00-07:00",
-          "2010-03-05T11:00:00-07:00",
-          "2010-03-05T11:01:00-07:00",
-          "2010-03-05T11:02:00-07:00",
-          "2010-03-05T11:03:00-07:00",
-          "2010-03-05T11:04:00-07:00",
-          "2010-03-05T11:05:00-07:00",
-          "2010-03-05T11:06:00-07:00",
-          "2010-03-05T11:07:00-07:00",
-          "2010-03-05T11:08:00-07:00",
-          "2010-03-05T11:09:00-07:00",
-          "2010-03-05T11:10:00-07:00",
-          "2010-03-05T11:11:00-07:00",
-          "2010-03-05T11:12:00-07:00",
-          "2010-03-05T11:13:00-07:00",
-          "2010-03-05T11:14:00-07:00",
-          "2010-03-05T11:15:00-07:00",
-          "2010-03-05T11:16:00-07:00",
-          "2010-03-05T11:17:00-07:00",
-          "2010-03-05T11:18:00-07:00",
-          "2010-03-05T11:19:00-07:00",
-          "2010-03-05T11:20:00-07:00",
-          "2010-03-05T11:21:00-07:00",
-          "2010-03-05T11:22:00-07:00",
-          "2010-03-05T11:23:00-07:00",
-          "2010-03-05T11:24:00-07:00",
-          "2010-03-05T11:25:00-07:00",
-          "2010-03-05T11:26:00-07:00",
-          "2010-03-05T11:27:00-07:00",
-          "2010-03-05T11:28:00-07:00",
-          "2010-03-05T11:29:00-07:00",
-          "2010-03-05T11:30:00-07:00",
-          "2010-03-05T11:31:00-07:00",
-          "2010-03-05T11:32:00-07:00",
-          "2010-03-05T11:33:00-07:00",
-          "2010-03-05T11:34:00-07:00",
-          "2010-03-05T11:35:00-07:00",
-          "2010-03-05T11:36:00-07:00",
-          "2010-03-05T11:37:00-07:00",
-          "2010-03-05T11:38:00-07:00",
-          "2010-03-05T11:39:00-07:00",
-          "2010-03-05T11:40:00-07:00",
-          "2010-03-05T11:41:00-07:00",
-          "2010-03-05T11:42:00-07:00",
-          "2010-03-05T11:43:00-07:00",
-          "2010-03-05T11:44:00-07:00",
-          "2010-03-05T11:45:00-07:00",
-          "2010-03-05T11:46:00-07:00",
-          "2010-03-05T11:47:00-07:00",
-          "2010-03-05T11:48:00-07:00",
-          "2010-03-05T11:49:00-07:00",
-          "2010-03-05T11:50:00-07:00",
-          "2010-03-05T11:51:00-07:00",
-          "2010-03-05T11:52:00-07:00",
-          "2010-03-05T11:53:00-07:00",
-          "2010-03-05T11:54:00-07:00",
-          "2010-03-05T11:55:00-07:00",
-          "2010-03-05T11:56:00-07:00",
-          "2010-03-05T11:57:00-07:00",
-          "2010-03-05T11:58:00-07:00",
-          "2010-03-05T11:59:00-07:00",
-          "2010-03-05T12:00:00-07:00",
-          "2010-03-05T12:01:00-07:00",
-          "2010-03-05T12:02:00-07:00",
-          "2010-03-05T12:03:00-07:00",
-          "2010-03-05T12:04:00-07:00",
-          "2010-03-05T12:05:00-07:00",
-          "2010-03-05T12:06:00-07:00",
-          "2010-03-05T12:07:00-07:00",
-          "2010-03-05T12:08:00-07:00",
-          "2010-03-05T12:09:00-07:00",
-          "2010-03-05T12:10:00-07:00",
-          "2010-03-05T12:11:00-07:00",
-          "2010-03-05T12:12:00-07:00",
-          "2010-03-05T12:13:00-07:00",
-          "2010-03-05T12:14:00-07:00",
-          "2010-03-05T12:15:00-07:00",
-          "2010-03-05T12:16:00-07:00",
-          "2010-03-05T12:17:00-07:00",
-          "2010-03-05T12:18:00-07:00",
-          "2010-03-05T12:19:00-07:00",
-          "2010-03-05T12:20:00-07:00",
-          "2010-03-05T12:21:00-07:00",
-          "2010-03-05T12:22:00-07:00",
-          "2010-03-05T12:23:00-07:00",
-          "2010-03-05T12:24:00-07:00",
-          "2010-03-05T12:25:00-07:00",
-          "2010-03-05T12:26:00-07:00",
-          "2010-03-05T12:27:00-07:00",
-          "2010-03-05T12:28:00-07:00",
-          "2010-03-05T12:29:00-07:00",
-          "2010-03-05T12:30:00-07:00",
-          "2010-03-05T12:31:00-07:00",
-          "2010-03-05T12:32:00-07:00",
-          "2010-03-05T12:33:00-07:00",
-          "2010-03-05T12:34:00-07:00",
-          "2010-03-05T12:35:00-07:00",
-          "2010-03-05T12:36:00-07:00",
-          "2010-03-05T12:37:00-07:00",
-          "2010-03-05T12:38:00-07:00",
-          "2010-03-05T12:39:00-07:00",
-          "2010-03-05T12:40:00-07:00",
-          "2010-03-05T12:41:00-07:00",
-          "2010-03-05T12:42:00-07:00",
-          "2010-03-05T12:43:00-07:00",
-          "2010-03-05T12:44:00-07:00",
-          "2010-03-05T12:45:00-07:00",
-          "2010-03-05T12:46:00-07:00",
-          "2010-03-05T12:47:00-07:00",
-          "2010-03-05T12:48:00-07:00",
-          "2010-03-05T12:49:00-07:00",
-          "2010-03-05T12:50:00-07:00",
-          "2010-03-05T12:51:00-07:00",
-          "2010-03-05T12:52:00-07:00",
-          "2010-03-05T12:53:00-07:00",
-          "2010-03-05T12:54:00-07:00",
-          "2010-03-05T12:55:00-07:00",
-          "2010-03-05T12:56:00-07:00",
-          "2010-03-05T12:57:00-07:00",
-          "2010-03-05T13:00:00-07:00",
-          "2010-03-05T13:01:00-07:00",
-          "2010-03-05T13:02:00-07:00",
-          "2010-03-05T13:03:00-07:00",
-          "2010-03-05T13:05:00-07:00",
-          "2010-03-05T13:06:00-07:00",
-          "2010-03-05T13:09:00-07:00",
-          "2010-03-05T13:11:00-07:00",
-          "2010-03-05T13:13:00-07:00",
-          "2010-03-05T13:14:00-07:00",
-          "2010-03-05T13:15:00-07:00",
-          "2010-03-05T13:16:00-07:00",
-          "2010-03-05T13:17:00-07:00",
-          "2010-03-05T13:18:00-07:00",
-          "2010-03-05T13:20:00-07:00",
-          "2010-03-05T13:21:00-07:00",
-          "2010-03-05T13:24:00-07:00",
-          "2010-03-05T13:28:00-07:00",
-          "2010-03-05T13:29:00-07:00",
-          "2010-03-05T13:33:00-07:00",
-          "2010-03-05T13:36:00-07:00",
-          "2010-03-05T13:37:00-07:00",
-          "2010-03-05T13:39:00-07:00",
-          "2010-03-05T13:40:00-07:00",
-          "2010-03-05T13:41:00-07:00",
-          "2010-03-05T13:42:00-07:00",
-          "2010-03-05T13:43:00-07:00",
-          "2010-03-05T13:44:00-07:00",
-          "2010-03-05T13:45:00-07:00",
-          "2010-03-05T13:46:00-07:00",
-          "2010-03-05T13:47:00-07:00",
-          "2010-03-05T13:48:00-07:00",
-          "2010-03-05T13:49:00-07:00",
-          "2010-03-05T13:50:00-07:00",
-          "2010-03-05T13:51:00-07:00",
-          "2010-03-05T13:52:00-07:00",
-          "2010-03-05T13:53:00-07:00",
-          "2010-03-05T13:54:00-07:00",
-          "2010-03-05T13:55:00-07:00",
-          "2010-03-05T13:56:00-07:00",
-          "2010-03-05T13:57:00-07:00",
-          "2010-03-05T13:58:00-07:00",
-          "2010-03-05T13:59:00-07:00",
-          "2010-03-05T14:00:00-07:00",
-          "2010-03-05T14:01:00-07:00",
-          "2010-03-05T14:02:00-07:00",
-          "2010-03-05T14:03:00-07:00",
-          "2010-03-05T14:04:00-07:00",
-          "2010-03-05T14:05:00-07:00",
-          "2010-03-05T14:06:00-07:00",
-          "2010-03-05T14:07:00-07:00",
-          "2010-03-05T14:08:00-07:00",
-          "2010-03-05T14:09:00-07:00",
-          "2010-03-05T14:10:00-07:00",
-          "2010-03-05T14:11:00-07:00",
-          "2010-03-05T14:12:00-07:00",
-          "2010-03-05T14:13:00-07:00",
-          "2010-03-05T14:14:00-07:00",
-          "2010-03-05T14:15:00-07:00",
-          "2010-03-05T14:16:00-07:00",
-          "2010-03-05T14:17:00-07:00",
-          "2010-03-05T14:18:00-07:00",
-          "2010-03-05T14:19:00-07:00",
-          "2010-03-05T14:20:00-07:00",
-          "2010-03-05T14:21:00-07:00",
-          "2010-03-05T14:22:00-07:00",
-          "2010-03-05T14:23:00-07:00",
-          "2010-03-05T14:24:00-07:00",
-          "2010-03-05T14:25:00-07:00",
-          "2010-03-05T14:26:00-07:00",
-          "2010-03-05T14:27:00-07:00",
-          "2010-03-05T14:29:00-07:00",
-          "2010-03-05T14:31:00-07:00",
-          "2010-03-05T14:33:00-07:00",
-          "2010-03-05T14:35:00-07:00",
-          "2010-03-05T14:36:00-07:00",
-          "2010-03-05T14:37:00-07:00",
-          "2010-03-05T14:38:00-07:00",
-          "2010-03-05T14:39:00-07:00",
-          "2010-03-05T14:40:00-07:00",
-          "2010-03-05T14:41:00-07:00",
-          "2010-03-05T14:42:00-07:00",
-          "2010-03-05T14:43:00-07:00",
-          "2010-03-05T14:44:00-07:00",
-          "2010-03-05T14:45:00-07:00",
-          "2010-03-05T14:46:00-07:00",
-          "2010-03-05T14:47:00-07:00",
-          "2010-03-05T14:48:00-07:00",
-          "2010-03-05T14:49:00-07:00",
-          "2010-03-05T14:50:00-07:00",
-          "2010-03-05T14:51:00-07:00",
-          "2010-03-05T14:52:00-07:00",
-          "2010-03-05T14:53:00-07:00",
-          "2010-03-05T14:54:00-07:00",
-          "2010-03-05T14:55:00-07:00",
-          "2010-03-05T14:56:00-07:00",
-          "2010-03-05T14:57:00-07:00",
-          "2010-03-05T14:58:00-07:00",
-          "2010-03-05T14:59:00-07:00",
-          "2010-03-05T15:00:00-07:00",
-          "2010-03-05T15:01:00-07:00",
-          "2010-03-05T15:02:00-07:00",
-          "2010-03-05T15:03:00-07:00",
-          "2010-03-05T15:04:00-07:00",
-          "2010-03-05T15:05:00-07:00",
-          "2010-03-05T15:06:00-07:00",
-          "2010-03-05T15:07:00-07:00",
-          "2010-03-05T15:08:00-07:00",
-          "2010-03-05T15:09:00-07:00",
-          "2010-03-05T15:10:00-07:00",
-          "2010-03-05T15:11:00-07:00",
-          "2010-03-05T15:12:00-07:00",
-          "2010-03-05T15:13:00-07:00",
-          "2010-03-05T15:14:00-07:00",
-          "2010-03-05T15:15:00-07:00",
-          "2010-03-05T15:16:00-07:00",
-          "2010-03-05T15:17:00-07:00",
-          "2010-03-05T15:18:00-07:00",
-          "2010-03-05T15:19:00-07:00",
-          "2010-03-05T15:20:00-07:00",
-          "2010-03-05T15:21:00-07:00",
-          "2010-03-05T15:22:00-07:00",
-          "2010-03-05T15:23:00-07:00",
-          "2010-03-05T15:24:00-07:00",
-          "2010-03-05T15:25:00-07:00",
-          "2010-03-05T15:26:00-07:00",
-          "2010-03-05T15:27:00-07:00",
-          "2010-03-05T15:28:00-07:00",
-          "2010-03-05T15:29:00-07:00",
-          "2010-03-05T15:30:00-07:00",
-          "2010-03-05T15:31:00-07:00",
-          "2010-03-05T15:32:00-07:00",
-          "2010-03-05T15:33:00-07:00",
-          "2010-03-05T15:34:00-07:00",
-          "2010-03-05T15:35:00-07:00",
-          "2010-03-05T15:36:00-07:00",
-          "2010-03-05T15:37:00-07:00",
-          "2010-03-05T15:38:00-07:00",
-          "2010-03-05T15:39:00-07:00",
-          "2010-03-05T15:40:00-07:00",
-          "2010-03-05T15:41:00-07:00",
-          "2010-03-05T15:42:00-07:00",
-          "2010-03-05T15:43:00-07:00",
-          "2010-03-05T15:44:00-07:00",
-          "2010-03-05T15:45:00-07:00",
-          "2010-03-05T15:46:00-07:00",
-          "2010-03-05T15:47:00-07:00",
-          "2010-03-05T15:48:00-07:00",
-          "2010-03-05T15:49:00-07:00",
-          "2010-03-05T15:50:00-07:00",
-          "2010-03-05T15:51:00-07:00",
-          "2010-03-05T15:52:00-07:00",
-          "2010-03-05T15:53:00-07:00",
-          "2010-03-05T15:54:00-07:00",
-          "2010-03-05T15:55:00-07:00",
-          "2010-03-05T15:56:00-07:00",
-          "2010-03-05T15:57:00-07:00",
-          "2010-03-05T15:58:00-07:00",
-          "2010-03-05T15:59:00-07:00",
-          "2010-03-05T16:00:00-07:00",
-          "2010-03-05T16:01:00-07:00",
-          "2010-03-05T16:02:00-07:00",
-          "2010-03-05T16:03:00-07:00",
-          "2010-03-05T16:04:00-07:00",
-          "2010-03-05T16:05:00-07:00",
-          "2010-03-05T16:06:00-07:00",
-          "2010-03-05T16:07:00-07:00",
-          "2010-03-05T16:08:00-07:00",
-          "2010-03-05T16:09:00-07:00",
-          "2010-03-05T16:10:00-07:00",
-          "2010-03-05T16:11:00-07:00",
-          "2010-03-05T16:12:00-07:00",
-          "2010-03-05T16:13:00-07:00",
-          "2010-03-05T16:14:00-07:00",
-          "2010-03-05T16:15:00-07:00",
-          "2010-03-05T16:16:00-07:00",
-          "2010-03-05T16:17:00-07:00",
-          "2010-03-05T16:18:00-07:00",
-          "2010-03-05T16:19:00-07:00",
-          "2010-03-05T16:20:00-07:00",
-          "2010-03-05T16:21:00-07:00",
-          "2010-03-05T16:22:00-07:00",
-          "2010-03-05T16:23:00-07:00",
-          "2010-03-05T16:24:00-07:00",
-          "2010-03-05T16:25:00-07:00",
-          "2010-03-05T16:26:00-07:00",
-          "2010-03-05T16:27:00-07:00",
-          "2010-03-05T16:28:00-07:00",
-          "2010-03-05T16:29:00-07:00",
-          "2010-03-05T16:30:00-07:00",
-          "2010-03-05T16:31:00-07:00",
-          "2010-03-05T16:32:00-07:00",
-          "2010-03-05T16:33:00-07:00",
-          "2010-03-05T16:34:00-07:00",
-          "2010-03-05T16:35:00-07:00",
-          "2010-03-05T16:36:00-07:00",
-          "2010-03-05T16:37:00-07:00",
-          "2010-03-05T16:38:00-07:00",
-          "2010-03-05T16:39:00-07:00",
-          "2010-03-05T16:40:00-07:00",
-          "2010-03-05T16:41:00-07:00",
-          "2010-03-05T16:42:00-07:00",
-          "2010-03-05T16:43:00-07:00",
-          "2010-03-05T16:44:00-07:00",
-          "2010-03-05T16:45:00-07:00",
-          "2010-03-05T16:46:00-07:00",
-          "2010-03-05T16:47:00-07:00",
-          "2010-03-05T16:48:00-07:00",
-          "2010-03-05T16:49:00-07:00",
-          "2010-03-05T16:50:00-07:00",
-          "2010-03-05T16:51:00-07:00",
-          "2010-03-05T16:52:00-07:00",
-          "2010-03-05T16:53:00-07:00",
-          "2010-03-05T16:54:00-07:00",
-          "2010-03-05T16:55:00-07:00",
-          "2010-03-05T16:56:00-07:00",
-          "2010-03-05T16:57:00-07:00",
-          "2010-03-05T16:58:00-07:00",
-          "2010-03-05T16:59:00-07:00",
-          "2010-03-05T17:00:00-07:00",
-          "2010-03-05T17:01:00-07:00",
-          "2010-03-05T17:02:00-07:00",
-          "2010-03-05T17:03:00-07:00",
-          "2010-03-05T17:04:00-07:00",
-          "2010-03-05T17:05:00-07:00",
-          "2010-03-05T17:06:00-07:00",
-          "2010-03-05T17:07:00-07:00",
-          "2010-03-05T17:08:00-07:00",
-          "2010-03-05T17:09:00-07:00",
-          "2010-03-05T17:10:00-07:00",
-          "2010-03-05T17:11:00-07:00",
-          "2010-03-05T17:12:00-07:00",
-          "2010-03-05T17:13:00-07:00",
-          "2010-03-05T17:14:00-07:00",
-          "2010-03-05T17:15:00-07:00",
-          "2010-03-05T17:16:00-07:00",
-          "2010-03-05T17:17:00-07:00",
-          "2010-03-05T17:18:00-07:00",
-          "2010-03-05T17:19:00-07:00",
-          "2010-03-05T17:20:00-07:00",
-          "2010-03-05T17:21:00-07:00",
-          "2010-03-05T17:22:00-07:00",
-          "2010-03-05T17:23:00-07:00",
-          "2010-03-05T17:24:00-07:00",
-          "2010-03-05T17:25:00-07:00",
-          "2010-03-05T17:26:00-07:00",
-          "2010-03-05T17:27:00-07:00",
-          "2010-03-05T17:28:00-07:00",
-          "2010-03-05T17:29:00-07:00",
-          "2010-03-05T17:30:00-07:00",
-          "2010-03-05T17:31:00-07:00",
-          "2010-03-05T17:32:00-07:00",
-          "2010-03-05T17:33:00-07:00",
-          "2010-03-05T17:34:00-07:00",
-          "2010-03-05T17:35:00-07:00",
-          "2010-03-05T17:36:00-07:00",
-          "2010-03-05T17:37:00-07:00",
-          "2010-03-05T17:38:00-07:00",
-          "2010-03-05T17:39:00-07:00",
-          "2010-03-05T17:40:00-07:00",
-          "2010-03-05T17:41:00-07:00",
-          "2010-03-05T17:42:00-07:00",
-          "2010-03-05T17:43:00-07:00",
-          "2010-03-05T17:44:00-07:00",
-          "2010-03-05T17:45:00-07:00",
-          "2010-03-05T17:46:00-07:00",
-          "2010-03-05T17:47:00-07:00",
-          "2010-03-05T17:48:00-07:00",
-          "2010-03-05T17:49:00-07:00",
-          "2010-03-05T17:50:00-07:00",
-          "2010-03-05T17:51:00-07:00",
-          "2010-03-05T17:52:00-07:00",
-          "2010-03-05T17:53:00-07:00",
-          "2010-03-05T17:54:00-07:00",
-          "2010-03-05T17:55:00-07:00",
-          "2010-03-05T17:56:00-07:00",
-          "2010-03-05T17:57:00-07:00",
-          "2010-03-05T17:58:00-07:00",
-          "2010-03-05T17:59:00-07:00",
-          "2010-03-05T18:00:00-07:00",
-          "2010-03-05T18:01:00-07:00",
-          "2010-03-05T18:02:00-07:00",
-          "2010-03-05T18:03:00-07:00",
-          "2010-03-05T18:04:00-07:00",
-          "2010-03-05T18:05:00-07:00",
-          "2010-03-05T18:06:00-07:00",
-          "2010-03-05T18:07:00-07:00",
-          "2010-03-05T18:08:00-07:00",
-          "2010-03-05T18:09:00-07:00",
-          "2010-03-05T18:10:00-07:00",
-          "2010-03-05T18:11:00-07:00",
-          "2010-03-05T18:12:00-07:00",
-          "2010-03-05T18:13:00-07:00",
-          "2010-03-05T18:14:00-07:00",
-          "2010-03-05T18:15:00-07:00",
-          "2010-03-05T18:16:00-07:00",
-          "2010-03-05T18:17:00-07:00",
-          "2010-03-05T18:18:00-07:00",
-          "2010-03-05T18:19:00-07:00",
-          "2010-03-05T18:20:00-07:00",
-          "2010-03-05T18:21:00-07:00",
-          "2010-03-05T18:22:00-07:00",
-          "2010-03-05T18:23:00-07:00",
-          "2010-03-05T18:24:00-07:00",
-          "2010-03-05T18:25:00-07:00",
-          "2010-03-05T18:26:00-07:00",
-          "2010-03-05T18:27:00-07:00",
-          "2010-03-05T18:28:00-07:00",
-          "2010-03-05T18:29:00-07:00",
-          "2010-03-05T18:30:00-07:00",
-          "2010-03-05T18:31:00-07:00",
-          "2010-03-05T18:32:00-07:00",
-          "2010-03-05T18:33:00-07:00",
-          "2010-03-05T18:34:00-07:00",
-          "2010-03-05T18:35:00-07:00",
-          "2010-03-05T18:36:00-07:00",
-          "2010-03-05T18:37:00-07:00",
-          "2010-03-05T18:38:00-07:00",
-          "2010-03-05T18:39:00-07:00",
-          "2010-03-05T18:40:00-07:00",
-          "2010-03-05T18:41:00-07:00",
-          "2010-03-05T18:42:00-07:00",
-          "2010-03-05T18:43:00-07:00",
-          "2010-03-05T18:44:00-07:00",
-          "2010-03-05T18:45:00-07:00",
-          "2010-03-05T18:46:00-07:00",
-          "2010-03-05T18:47:00-07:00",
-          "2010-03-05T18:48:00-07:00",
-          "2010-03-05T18:49:00-07:00",
-          "2010-03-05T18:50:00-07:00",
-          "2010-03-05T18:51:00-07:00",
-          "2010-03-05T18:52:00-07:00",
-          "2010-03-05T18:53:00-07:00",
-          "2010-03-05T18:54:00-07:00",
-          "2010-03-05T18:55:00-07:00",
-          "2010-03-05T18:56:00-07:00",
-          "2010-03-05T18:57:00-07:00",
-          "2010-03-05T18:58:00-07:00",
-          "2010-03-05T18:59:00-07:00",
-          "2010-03-05T19:00:00-07:00",
-          "2010-03-05T19:01:00-07:00",
-          "2010-03-05T19:02:00-07:00",
-          "2010-03-05T19:03:00-07:00",
-          "2010-03-05T19:04:00-07:00",
-          "2010-03-05T19:05:00-07:00",
-          "2010-03-05T19:06:00-07:00",
-          "2010-03-05T19:07:00-07:00",
-          "2010-03-05T19:08:00-07:00",
-          "2010-03-05T19:09:00-07:00",
-          "2010-03-05T19:10:00-07:00",
-          "2010-03-05T19:11:00-07:00",
-          "2010-03-05T19:12:00-07:00",
-          "2010-03-05T19:13:00-07:00",
-          "2010-03-05T19:14:00-07:00",
-          "2010-03-05T19:15:00-07:00",
-          "2010-03-05T19:16:00-07:00",
-          "2010-03-05T19:17:00-07:00",
-          "2010-03-05T19:18:00-07:00",
-          "2010-03-05T19:19:00-07:00",
-          "2010-03-05T19:20:00-07:00",
-          "2010-03-05T19:21:00-07:00",
-          "2010-03-05T19:22:00-07:00",
-          "2010-03-05T19:23:00-07:00",
-          "2010-03-05T19:24:00-07:00",
-          "2010-03-05T19:25:00-07:00",
-          "2010-03-05T19:26:00-07:00",
-          "2010-03-05T19:27:00-07:00",
-          "2010-03-05T19:28:00-07:00",
-          "2010-03-05T19:29:00-07:00",
-          "2010-03-05T19:30:00-07:00",
-          "2010-03-05T19:31:00-07:00",
-          "2010-03-05T19:32:00-07:00",
-          "2010-03-05T19:33:00-07:00",
-          "2010-03-05T19:34:00-07:00",
-          "2010-03-05T19:35:00-07:00",
-          "2010-03-05T19:36:00-07:00",
-          "2010-03-05T19:37:00-07:00",
-          "2010-03-05T19:38:00-07:00",
-          "2010-03-05T19:39:00-07:00",
-          "2010-03-05T19:40:00-07:00",
-          "2010-03-05T19:41:00-07:00",
-          "2010-03-05T19:42:00-07:00",
-          "2010-03-05T19:43:00-07:00",
-          "2010-03-05T19:44:00-07:00",
-          "2010-03-05T19:45:00-07:00",
-          "2010-03-05T19:46:00-07:00",
-          "2010-03-05T19:47:00-07:00",
-          "2010-03-05T19:48:00-07:00",
-          "2010-03-05T19:49:00-07:00",
-          "2010-03-05T19:50:00-07:00",
-          "2010-03-05T19:51:00-07:00",
-          "2010-03-05T19:52:00-07:00",
-          "2010-03-05T19:53:00-07:00",
-          "2010-03-05T19:54:00-07:00",
-          "2010-03-05T19:55:00-07:00",
-          "2010-03-05T19:56:00-07:00",
-          "2010-03-05T19:57:00-07:00",
-          "2010-03-05T19:58:00-07:00",
-          "2010-03-05T19:59:00-07:00",
-          "2010-03-05T20:00:00-07:00",
-          "2010-03-05T20:01:00-07:00",
-          "2010-03-05T20:02:00-07:00",
-          "2010-03-05T20:03:00-07:00",
-          "2010-03-05T20:04:00-07:00",
-          "2010-03-05T20:05:00-07:00",
-          "2010-03-05T20:06:00-07:00",
-          "2010-03-05T20:07:00-07:00",
-          "2010-03-05T20:08:00-07:00",
-          "2010-03-05T20:09:00-07:00",
-          "2010-03-05T20:10:00-07:00",
-          "2010-03-05T20:11:00-07:00",
-          "2010-03-05T20:12:00-07:00",
-          "2010-03-05T20:13:00-07:00",
-          "2010-03-05T20:14:00-07:00",
-          "2010-03-05T20:15:00-07:00",
-          "2010-03-05T20:16:00-07:00",
-          "2010-03-05T20:17:00-07:00",
-          "2010-03-05T20:18:00-07:00",
-          "2010-03-05T20:19:00-07:00",
-          "2010-03-05T20:20:00-07:00",
-          "2010-03-05T20:21:00-07:00",
-          "2010-03-05T20:22:00-07:00",
-          "2010-03-05T20:23:00-07:00",
-          "2010-03-05T20:24:00-07:00",
-          "2010-03-05T20:25:00-07:00",
-          "2010-03-05T20:26:00-07:00",
-          "2010-03-05T20:27:00-07:00",
-          "2010-03-05T20:28:00-07:00",
-          "2010-03-05T20:29:00-07:00",
-          "2010-03-05T20:30:00-07:00",
-          "2010-03-05T20:31:00-07:00",
-          "2010-03-05T20:32:00-07:00",
-          "2010-03-05T20:33:00-07:00",
-          "2010-03-05T20:34:00-07:00",
-          "2010-03-05T20:35:00-07:00",
-          "2010-03-05T20:36:00-07:00",
-          "2010-03-05T20:37:00-07:00",
-          "2010-03-05T20:38:00-07:00",
-          "2010-03-05T20:39:00-07:00",
-          "2010-03-05T20:40:00-07:00",
-          "2010-03-05T20:41:00-07:00",
-          "2010-03-05T20:42:00-07:00",
-          "2010-03-05T20:43:00-07:00",
-          "2010-03-05T20:44:00-07:00",
-          "2010-03-05T20:45:00-07:00",
-          "2010-03-05T20:46:00-07:00",
-          "2010-03-05T20:47:00-07:00",
-          "2010-03-05T20:48:00-07:00",
-          "2010-03-05T20:49:00-07:00",
-          "2010-03-05T20:50:00-07:00",
-          "2010-03-05T20:51:00-07:00",
-          "2010-03-05T20:52:00-07:00",
-          "2010-03-05T20:53:00-07:00",
-          "2010-03-05T20:54:00-07:00",
-          "2010-03-05T20:55:00-07:00",
-          "2010-03-05T20:56:00-07:00",
-          "2010-03-05T20:57:00-07:00",
-          "2010-03-05T20:58:00-07:00",
-          "2010-03-05T20:59:00-07:00",
-          "2010-03-05T21:00:00-07:00",
-          "2010-03-05T21:01:00-07:00",
-          "2010-03-05T21:02:00-07:00",
-          "2010-03-05T21:03:00-07:00",
-          "2010-03-05T21:04:00-07:00",
-          "2010-03-05T21:05:00-07:00",
-          "2010-03-05T21:06:00-07:00",
-          "2010-03-05T21:07:00-07:00",
-          "2010-03-05T21:08:00-07:00",
-          "2010-03-05T21:09:00-07:00",
-          "2010-03-05T21:10:00-07:00",
-          "2010-03-05T21:11:00-07:00",
-          "2010-03-05T21:12:00-07:00",
-          "2010-03-05T21:13:00-07:00",
-          "2010-03-05T21:14:00-07:00",
-          "2010-03-05T21:15:00-07:00",
-          "2010-03-05T21:16:00-07:00",
-          "2010-03-05T21:17:00-07:00",
-          "2010-03-05T21:18:00-07:00",
-          "2010-03-05T21:19:00-07:00",
-          "2010-03-05T21:20:00-07:00",
-          "2010-03-05T21:21:00-07:00",
-          "2010-03-05T21:22:00-07:00",
-          "2010-03-05T21:23:00-07:00",
-          "2010-03-05T21:24:00-07:00",
-          "2010-03-05T21:25:00-07:00",
-          "2010-03-05T21:26:00-07:00",
-          "2010-03-05T21:27:00-07:00",
-          "2010-03-05T21:28:00-07:00",
-          "2010-03-05T21:29:00-07:00",
-          "2010-03-05T21:30:00-07:00",
-          "2010-03-05T21:31:00-07:00",
-          "2010-03-05T21:32:00-07:00",
-          "2010-03-05T21:33:00-07:00",
-          "2010-03-05T21:34:00-07:00",
-          "2010-03-05T21:35:00-07:00",
-          "2010-03-05T21:36:00-07:00",
-          "2010-03-05T21:37:00-07:00",
-          "2010-03-05T21:38:00-07:00",
-          "2010-03-05T21:39:00-07:00",
-          "2010-03-05T21:40:00-07:00",
-          "2010-03-05T21:41:00-07:00",
-          "2010-03-05T21:42:00-07:00",
-          "2010-03-05T21:43:00-07:00",
-          "2010-03-05T21:44:00-07:00",
-          "2010-03-05T21:45:00-07:00",
-          "2010-03-05T21:46:00-07:00",
-          "2010-03-05T21:47:00-07:00",
-          "2010-03-05T21:48:00-07:00",
-          "2010-03-05T21:49:00-07:00",
-          "2010-03-05T21:50:00-07:00",
-          "2010-03-05T21:51:00-07:00",
-          "2010-03-05T21:52:00-07:00",
-          "2010-03-05T21:53:00-07:00",
-          "2010-03-05T21:54:00-07:00",
-          "2010-03-05T21:55:00-07:00",
-          "2010-03-05T21:56:00-07:00",
-          "2010-03-05T21:57:00-07:00",
-          "2010-03-05T21:58:00-07:00",
-          "2010-03-05T21:59:00-07:00",
-          "2010-03-05T22:00:00-07:00",
-          "2010-03-05T22:01:00-07:00",
-          "2010-03-05T22:02:00-07:00",
-          "2010-03-05T22:03:00-07:00",
-          "2010-03-05T22:04:00-07:00",
-          "2010-03-05T22:05:00-07:00",
-          "2010-03-05T22:06:00-07:00",
-          "2010-03-05T22:07:00-07:00",
-          "2010-03-05T22:08:00-07:00",
-          "2010-03-05T22:09:00-07:00",
-          "2010-03-05T22:10:00-07:00",
-          "2010-03-05T22:11:00-07:00",
-          "2010-03-05T22:12:00-07:00",
-          "2010-03-05T22:13:00-07:00",
-          "2010-03-05T22:14:00-07:00",
-          "2010-03-05T22:15:00-07:00",
-          "2010-03-05T22:16:00-07:00",
-          "2010-03-05T22:17:00-07:00",
-          "2010-03-05T22:18:00-07:00",
-          "2010-03-05T22:19:00-07:00",
-          "2010-03-05T22:20:00-07:00",
-          "2010-03-05T22:21:00-07:00",
-          "2010-03-05T22:22:00-07:00",
-          "2010-03-05T22:23:00-07:00",
-          "2010-03-05T22:24:00-07:00",
-          "2010-03-05T22:25:00-07:00",
-          "2010-03-05T22:26:00-07:00",
-          "2010-03-05T22:27:00-07:00",
-          "2010-03-05T22:28:00-07:00",
-          "2010-03-05T22:29:00-07:00",
-          "2010-03-05T22:30:00-07:00",
-          "2010-03-05T22:31:00-07:00",
-          "2010-03-05T22:32:00-07:00",
-          "2010-03-05T22:33:00-07:00",
-          "2010-03-05T22:34:00-07:00",
-          "2010-03-05T22:35:00-07:00",
-          "2010-03-05T22:36:00-07:00",
-          "2010-03-05T22:37:00-07:00",
-          "2010-03-05T22:38:00-07:00",
-          "2010-03-05T22:39:00-07:00",
-          "2010-03-05T22:40:00-07:00",
-          "2010-03-05T22:41:00-07:00",
-          "2010-03-05T22:42:00-07:00",
-          "2010-03-05T22:43:00-07:00",
-          "2010-03-05T22:44:00-07:00",
-          "2010-03-05T22:45:00-07:00",
-          "2010-03-05T22:46:00-07:00",
-          "2010-03-05T22:47:00-07:00",
-          "2010-03-05T22:48:00-07:00",
-          "2010-03-05T22:49:00-07:00",
-          "2010-03-05T22:50:00-07:00",
-          "2010-03-05T22:51:00-07:00",
-          "2010-03-05T22:52:00-07:00",
-          "2010-03-05T22:53:00-07:00",
-          "2010-03-05T22:54:00-07:00",
-          "2010-03-05T22:55:00-07:00",
-          "2010-03-05T22:56:00-07:00",
-          "2010-03-05T22:57:00-07:00",
-          "2010-03-05T22:58:00-07:00",
-          "2010-03-05T22:59:00-07:00",
-          "2010-03-05T23:00:00-07:00",
-          "2010-03-05T23:01:00-07:00",
-          "2010-03-05T23:02:00-07:00",
-          "2010-03-05T23:03:00-07:00",
-          "2010-03-05T23:04:00-07:00",
-          "2010-03-05T23:05:00-07:00",
-          "2010-03-05T23:06:00-07:00",
-          "2010-03-05T23:07:00-07:00",
-          "2010-03-05T23:08:00-07:00",
-          "2010-03-05T23:09:00-07:00",
-          "2010-03-05T23:10:00-07:00",
-          "2010-03-05T23:11:00-07:00",
-          "2010-03-05T23:12:00-07:00",
-          "2010-03-05T23:13:00-07:00",
-          "2010-03-05T23:14:00-07:00",
-          "2010-03-05T23:15:00-07:00",
-          "2010-03-05T23:16:00-07:00",
-          "2010-03-05T23:17:00-07:00",
-          "2010-03-05T23:18:00-07:00",
-          "2010-03-05T23:19:00-07:00",
-          "2010-03-05T23:20:00-07:00",
-          "2010-03-05T23:21:00-07:00",
-          "2010-03-05T23:22:00-07:00",
-          "2010-03-05T23:23:00-07:00",
-          "2010-03-05T23:24:00-07:00",
-          "2010-03-05T23:25:00-07:00",
-          "2010-03-05T23:26:00-07:00",
-          "2010-03-05T23:27:00-07:00",
-          "2010-03-05T23:28:00-07:00",
-          "2010-03-05T23:29:00-07:00",
-          "2010-03-05T23:30:00-07:00",
-          "2010-03-05T23:31:00-07:00",
-          "2010-03-05T23:32:00-07:00",
-          "2010-03-05T23:33:00-07:00",
-          "2010-03-05T23:34:00-07:00",
-          "2010-03-05T23:35:00-07:00",
-          "2010-03-05T23:36:00-07:00",
-          "2010-03-05T23:37:00-07:00",
-          "2010-03-05T23:38:00-07:00",
-          "2010-03-05T23:39:00-07:00",
-          "2010-03-05T23:40:00-07:00",
-          "2010-03-05T23:41:00-07:00",
-          "2010-03-05T23:42:00-07:00",
-          "2010-03-05T23:43:00-07:00",
-          "2010-03-05T23:44:00-07:00",
-          "2010-03-05T23:45:00-07:00",
-          "2010-03-05T23:46:00-07:00",
-          "2010-03-05T23:47:00-07:00",
-          "2010-03-05T23:48:00-07:00",
-          "2010-03-05T23:49:00-07:00",
-          "2010-03-05T23:50:00-07:00",
-          "2010-03-05T23:51:00-07:00",
-          "2010-03-05T23:52:00-07:00",
-          "2010-03-05T23:53:00-07:00",
-          "2010-03-05T23:54:00-07:00",
-          "2010-03-05T23:55:00-07:00",
-          "2010-03-05T23:56:00-07:00",
-          "2010-03-05T23:57:00-07:00",
-          "2010-03-05T23:58:00-07:00",
-          "2010-03-05T23:59:00-07:00",
-          "2010-03-06T00:00:00-07:00",
-          "2010-03-06T00:01:00-07:00",
-          "2010-03-06T00:02:00-07:00",
-          "2010-03-06T00:03:00-07:00",
-          "2010-03-06T00:04:00-07:00",
-          "2010-03-06T00:05:00-07:00",
-          "2010-03-06T00:06:00-07:00",
-          "2010-03-06T00:07:00-07:00",
-          "2010-03-06T00:08:00-07:00",
-          "2010-03-06T00:09:00-07:00",
-          "2010-03-06T00:10:00-07:00",
-          "2010-03-06T00:11:00-07:00",
-          "2010-03-06T00:12:00-07:00",
-          "2010-03-06T00:13:00-07:00",
-          "2010-03-06T00:14:00-07:00",
-          "2010-03-06T00:15:00-07:00",
-          "2010-03-06T00:16:00-07:00",
-          "2010-03-06T00:17:00-07:00",
-          "2010-03-06T00:18:00-07:00",
-          "2010-03-06T00:19:00-07:00",
-          "2010-03-06T00:20:00-07:00",
-          "2010-03-06T00:21:00-07:00",
-          "2010-03-06T00:22:00-07:00",
-          "2010-03-06T00:23:00-07:00",
-          "2010-03-06T00:24:00-07:00",
-          "2010-03-06T00:25:00-07:00",
-          "2010-03-06T00:26:00-07:00",
-          "2010-03-06T00:27:00-07:00",
-          "2010-03-06T00:28:00-07:00",
-          "2010-03-06T00:29:00-07:00",
-          "2010-03-06T00:30:00-07:00",
-          "2010-03-06T00:31:00-07:00",
-          "2010-03-06T00:32:00-07:00",
-          "2010-03-06T00:33:00-07:00",
-          "2010-03-06T00:34:00-07:00",
-          "2010-03-06T00:35:00-07:00",
-          "2010-03-06T00:36:00-07:00",
-          "2010-03-06T00:37:00-07:00",
-          "2010-03-06T00:38:00-07:00",
-          "2010-03-06T00:39:00-07:00",
-          "2010-03-06T00:40:00-07:00",
-          "2010-03-06T00:41:00-07:00",
-          "2010-03-06T00:42:00-07:00",
-          "2010-03-06T00:43:00-07:00",
-          "2010-03-06T00:44:00-07:00",
-          "2010-03-06T00:45:00-07:00",
-          "2010-03-06T00:46:00-07:00",
-          "2010-03-06T00:47:00-07:00",
-          "2010-03-06T00:48:00-07:00",
-          "2010-03-06T00:49:00-07:00",
-          "2010-03-06T00:50:00-07:00",
-          "2010-03-06T00:51:00-07:00",
-          "2010-03-06T00:52:00-07:00",
-          "2010-03-06T00:53:00-07:00",
-          "2010-03-06T00:54:00-07:00",
-          "2010-03-06T00:55:00-07:00",
-          "2010-03-06T00:56:00-07:00",
-          "2010-03-06T00:57:00-07:00",
-          "2010-03-06T00:58:00-07:00",
-          "2010-03-06T00:59:00-07:00",
-          "2010-03-06T01:00:00-07:00",
-          "2010-03-06T01:01:00-07:00",
-          "2010-03-06T01:02:00-07:00",
-          "2010-03-06T01:03:00-07:00",
-          "2010-03-06T01:04:00-07:00",
-          "2010-03-06T01:05:00-07:00",
-          "2010-03-06T01:06:00-07:00",
-          "2010-03-06T01:07:00-07:00",
-          "2010-03-06T01:08:00-07:00",
-          "2010-03-06T01:09:00-07:00",
-          "2010-03-06T01:10:00-07:00",
-          "2010-03-06T01:11:00-07:00",
-          "2010-03-06T01:12:00-07:00",
-          "2010-03-06T01:13:00-07:00",
-          "2010-03-06T01:14:00-07:00",
-          "2010-03-06T01:15:00-07:00",
-          "2010-03-06T01:16:00-07:00",
-          "2010-03-06T01:17:00-07:00",
-          "2010-03-06T01:18:00-07:00",
-          "2010-03-06T01:19:00-07:00",
-          "2010-03-06T01:20:00-07:00",
-          "2010-03-06T01:21:00-07:00",
-          "2010-03-06T01:22:00-07:00",
-          "2010-03-06T01:23:00-07:00",
-          "2010-03-06T01:24:00-07:00",
-          "2010-03-06T01:25:00-07:00",
-          "2010-03-06T01:26:00-07:00",
-          "2010-03-06T01:27:00-07:00",
-          "2010-03-06T01:28:00-07:00",
-          "2010-03-06T01:29:00-07:00",
-          "2010-03-06T01:30:00-07:00",
-          "2010-03-06T01:31:00-07:00",
-          "2010-03-06T01:32:00-07:00",
-          "2010-03-06T01:33:00-07:00",
-          "2010-03-06T01:34:00-07:00",
-          "2010-03-06T01:35:00-07:00",
-          "2010-03-06T01:36:00-07:00",
-          "2010-03-06T01:37:00-07:00",
-          "2010-03-06T01:38:00-07:00",
-          "2010-03-06T01:39:00-07:00",
-          "2010-03-06T01:40:00-07:00",
-          "2010-03-06T01:41:00-07:00",
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-          "2010-03-06T01:51:00-07:00",
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-          "2010-03-06T01:53:00-07:00",
-          "2010-03-06T01:54:00-07:00",
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-          "2010-03-06T01:56:00-07:00",
-          "2010-03-06T01:57:00-07:00",
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-          "2010-03-06T01:59:00-07:00",
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-          "2010-03-06T02:05:00-07:00",
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-          "2010-03-06T02:07:00-07:00",
-          "2010-03-06T02:08:00-07:00",
-          "2010-03-06T02:09:00-07:00",
-          "2010-03-06T02:10:00-07:00",
-          "2010-03-06T02:11:00-07:00",
-          "2010-03-06T02:12:00-07:00",
-          "2010-03-06T02:13:00-07:00",
-          "2010-03-06T02:14:00-07:00",
-          "2010-03-06T02:15:00-07:00",
-          "2010-03-06T02:16:00-07:00",
-          "2010-03-06T02:17:00-07:00",
-          "2010-03-06T02:18:00-07:00",
-          "2010-03-06T02:19:00-07:00",
-          "2010-03-06T02:20:00-07:00",
-          "2010-03-06T02:21:00-07:00",
-          "2010-03-06T02:22:00-07:00",
-          "2010-03-06T02:23:00-07:00",
-          "2010-03-06T02:24:00-07:00",
-          "2010-03-06T02:25:00-07:00",
-          "2010-03-06T02:26:00-07:00",
-          "2010-03-06T02:27:00-07:00",
-          "2010-03-06T02:28:00-07:00",
-          "2010-03-06T02:29:00-07:00",
-          "2010-03-06T02:30:00-07:00",
-          "2010-03-06T02:31:00-07:00",
-          "2010-03-06T02:32:00-07:00",
-          "2010-03-06T02:33:00-07:00",
-          "2010-03-06T02:34:00-07:00",
-          "2010-03-06T02:35:00-07:00",
-          "2010-03-06T02:36:00-07:00",
-          "2010-03-06T02:37:00-07:00",
-          "2010-03-06T02:38:00-07:00",
-          "2010-03-06T02:39:00-07:00",
-          "2010-03-06T02:40:00-07:00",
-          "2010-03-06T02:41:00-07:00",
-          "2010-03-06T02:42:00-07:00",
-          "2010-03-06T02:43:00-07:00",
-          "2010-03-06T02:44:00-07:00",
-          "2010-03-06T02:45:00-07:00",
-          "2010-03-06T02:46:00-07:00",
-          "2010-03-06T02:47:00-07:00",
-          "2010-03-06T02:48:00-07:00",
-          "2010-03-06T02:49:00-07:00",
-          "2010-03-06T02:50:00-07:00",
-          "2010-03-06T02:51:00-07:00",
-          "2010-03-06T02:52:00-07:00",
-          "2010-03-06T02:53:00-07:00",
-          "2010-03-06T02:54:00-07:00",
-          "2010-03-06T02:55:00-07:00",
-          "2010-03-06T02:56:00-07:00",
-          "2010-03-06T02:57:00-07:00",
-          "2010-03-06T02:58:00-07:00",
-          "2010-03-06T02:59:00-07:00",
-          "2010-03-06T03:00:00-07:00",
-          "2010-03-06T03:01:00-07:00",
-          "2010-03-06T03:02:00-07:00",
-          "2010-03-06T03:03:00-07:00",
-          "2010-03-06T03:04:00-07:00",
-          "2010-03-06T03:05:00-07:00",
-          "2010-03-06T03:06:00-07:00",
-          "2010-03-06T03:07:00-07:00",
-          "2010-03-06T03:08:00-07:00",
-          "2010-03-06T03:09:00-07:00",
-          "2010-03-06T03:10:00-07:00",
-          "2010-03-06T03:11:00-07:00",
-          "2010-03-06T03:12:00-07:00",
-          "2010-03-06T03:13:00-07:00",
-          "2010-03-06T03:14:00-07:00",
-          "2010-03-06T03:15:00-07:00",
-          "2010-03-06T03:16:00-07:00",
-          "2010-03-06T03:17:00-07:00",
-          "2010-03-06T03:18:00-07:00",
-          "2010-03-06T03:19:00-07:00",
-          "2010-03-06T03:20:00-07:00",
-          "2010-03-06T03:21:00-07:00",
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-          "2010-03-06T03:23:00-07:00",
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-          "2010-03-06T03:25:00-07:00",
-          "2010-03-06T03:26:00-07:00",
-          "2010-03-06T03:27:00-07:00",
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-          "2010-03-06T03:29:00-07:00",
-          "2010-03-06T03:30:00-07:00",
-          "2010-03-06T03:31:00-07:00",
-          "2010-03-06T03:32:00-07:00",
-          "2010-03-06T03:33:00-07:00",
-          "2010-03-06T03:34:00-07:00",
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-          "2010-03-06T03:37:00-07:00",
-          "2010-03-06T03:38:00-07:00",
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-          "2010-03-06T04:13:00-07:00",
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-          "2010-03-06T04:32:00-07:00",
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-          "2010-03-06T05:09:00-07:00",
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-          "2010-03-06T05:12:00-07:00",
-          "2010-03-06T05:13:00-07:00",
-          "2010-03-06T05:14:00-07:00",
-          "2010-03-06T05:15:00-07:00",
-          "2010-03-06T05:16:00-07:00",
-          "2010-03-06T05:17:00-07:00",
-          "2010-03-06T05:18:00-07:00",
-          "2010-03-06T05:19:00-07:00",
-          "2010-03-06T05:20:00-07:00",
-          "2010-03-06T05:21:00-07:00",
-          "2010-03-06T05:22:00-07:00",
-          "2010-03-06T05:23:00-07:00",
-          "2010-03-06T05:24:00-07:00",
-          "2010-03-06T05:25:00-07:00",
-          "2010-03-06T05:26:00-07:00",
-          "2010-03-06T05:27:00-07:00",
-          "2010-03-06T05:28:00-07:00",
-          "2010-03-06T05:29:00-07:00",
-          "2010-03-06T05:30:00-07:00",
-          "2010-03-06T05:31:00-07:00",
-          "2010-03-06T05:32:00-07:00",
-          "2010-03-06T05:33:00-07:00",
-          "2010-03-06T05:34:00-07:00",
-          "2010-03-06T05:35:00-07:00",
-          "2010-03-06T05:36:00-07:00",
-          "2010-03-06T05:37:00-07:00",
-          "2010-03-06T05:38:00-07:00",
-          "2010-03-06T05:39:00-07:00",
-          "2010-03-06T05:40:00-07:00",
-          "2010-03-06T05:41:00-07:00",
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-          "2010-03-06T05:52:00-07:00",
-          "2010-03-06T05:53:00-07:00",
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-          "2010-03-06T05:57:00-07:00",
-          "2010-03-06T05:58:00-07:00",
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-          "2010-03-06T06:00:00-07:00",
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-          "2010-03-06T06:03:00-07:00",
-          "2010-03-06T06:04:00-07:00",
-          "2010-03-06T06:05:00-07:00",
-          "2010-03-06T06:06:00-07:00",
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-          "2010-03-06T06:09:00-07:00",
-          "2010-03-06T06:10:00-07:00",
-          "2010-03-06T06:11:00-07:00",
-          "2010-03-06T06:12:00-07:00",
-          "2010-03-06T06:13:00-07:00",
-          "2010-03-06T06:14:00-07:00",
-          "2010-03-06T06:15:00-07:00",
-          "2010-03-06T06:16:00-07:00",
-          "2010-03-06T06:17:00-07:00",
-          "2010-03-06T06:18:00-07:00",
-          "2010-03-06T06:19:00-07:00",
-          "2010-03-06T06:20:00-07:00",
-          "2010-03-06T06:21:00-07:00",
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-          "2010-03-06T06:23:00-07:00",
-          "2010-03-06T06:24:00-07:00",
-          "2010-03-06T06:25:00-07:00",
-          "2010-03-06T06:26:00-07:00",
-          "2010-03-06T06:27:00-07:00",
-          "2010-03-06T06:28:00-07:00",
-          "2010-03-06T06:29:00-07:00",
-          "2010-03-06T06:30:00-07:00",
-          "2010-03-06T06:31:00-07:00",
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-          "2010-03-06T06:33:00-07:00",
-          "2010-03-06T06:34:00-07:00",
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-          "2010-03-06T06:36:00-07:00",
-          "2010-03-06T06:37:00-07:00",
-          "2010-03-06T06:38:00-07:00",
-          "2010-03-06T06:39:00-07:00",
-          "2010-03-06T06:40:00-07:00",
-          "2010-03-06T06:41:00-07:00",
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-          "2010-03-06T06:43:00-07:00",
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-          "2010-03-06T08:51:00-07:00",
-          "2010-03-06T08:52:00-07:00",
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-          "2010-03-06T08:54:00-07:00",
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-          "2010-03-06T08:56:00-07:00",
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-          "2010-03-06T08:59:00-07:00",
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-          "2010-03-06T09:12:00-07:00",
-          "2010-03-06T09:13:00-07:00",
-          "2010-03-06T09:14:00-07:00",
-          "2010-03-06T09:15:00-07:00",
-          "2010-03-06T09:16:00-07:00",
-          "2010-03-06T09:17:00-07:00",
-          "2010-03-06T09:18:00-07:00",
-          "2010-03-06T09:19:00-07:00",
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-          "2010-03-06T09:24:00-07:00",
-          "2010-03-06T09:25:00-07:00",
-          "2010-03-06T09:26:00-07:00",
-          "2010-03-06T09:27:00-07:00",
-          "2010-03-06T09:28:00-07:00",
-          "2010-03-06T09:29:00-07:00",
-          "2010-03-06T09:30:00-07:00",
-          "2010-03-06T09:31:00-07:00",
-          "2010-03-06T09:32:00-07:00",
-          "2010-03-06T09:33:00-07:00",
-          "2010-03-06T09:34:00-07:00",
-          "2010-03-06T09:35:00-07:00",
-          "2010-03-06T09:36:00-07:00",
-          "2010-03-06T09:37:00-07:00",
-          "2010-03-06T09:38:00-07:00",
-          "2010-03-06T09:39:00-07:00",
-          "2010-03-06T09:40:00-07:00",
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-          "2010-03-06T09:51:00-07:00",
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-          "2010-03-06T09:53:00-07:00",
-          "2010-03-06T09:54:00-07:00",
-          "2010-03-06T09:55:00-07:00",
-          "2010-03-06T09:56:00-07:00",
-          "2010-03-06T09:57:00-07:00",
-          "2010-03-06T09:58:00-07:00",
-          "2010-03-06T09:59:00-07:00",
-          "2010-03-06T10:00:00-07:00",
-          "2010-03-06T10:01:00-07:00",
-          "2010-03-06T10:03:00-07:00",
-          "2010-03-06T10:06:00-07:00",
-          "2010-03-06T10:08:00-07:00",
-          "2010-03-06T13:31:00-07:00",
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-          "2010-03-06T13:37:00-07:00",
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-          "2010-03-06T13:40:00-07:00",
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-          "2010-03-06T13:47:00-07:00",
-          "2010-03-06T13:48:00-07:00",
-          "2010-03-06T13:49:00-07:00",
-          "2010-03-06T13:50:00-07:00",
-          "2010-03-06T13:51:00-07:00",
-          "2010-03-06T13:52:00-07:00",
-          "2010-03-06T13:53:00-07:00",
-          "2010-03-06T13:54:00-07:00",
-          "2010-03-06T13:55:00-07:00",
-          "2010-03-06T13:56:00-07:00",
-          "2010-03-06T13:57:00-07:00",
-          "2010-03-06T13:58:00-07:00",
-          "2010-03-06T13:59:00-07:00",
-          "2010-03-06T14:00:00-07:00",
-          "2010-03-06T14:01:00-07:00",
-          "2010-03-06T14:02:00-07:00",
-          "2010-03-06T14:03:00-07:00",
-          "2010-03-06T14:04:00-07:00",
-          "2010-03-06T14:05:00-07:00",
-          "2010-03-06T14:06:00-07:00",
-          "2010-03-06T14:07:00-07:00",
-          "2010-03-06T14:08:00-07:00",
-          "2010-03-06T14:09:00-07:00",
-          "2010-03-06T14:10:00-07:00",
-          "2010-03-06T14:11:00-07:00",
-          "2010-03-06T14:12:00-07:00",
-          "2010-03-06T14:13:00-07:00",
-          "2010-03-06T14:14:00-07:00",
-          "2010-03-06T14:15:00-07:00",
-          "2010-03-06T14:16:00-07:00",
-          "2010-03-06T14:17:00-07:00",
-          "2010-03-06T14:18:00-07:00",
-          "2010-03-06T14:19:00-07:00",
-          "2010-03-06T14:20:00-07:00",
-          "2010-03-06T14:21:00-07:00",
-          "2010-03-06T14:22:00-07:00",
-          "2010-03-06T14:23:00-07:00",
-          "2010-03-06T14:24:00-07:00",
-          "2010-03-06T14:25:00-07:00",
-          "2010-03-06T14:26:00-07:00",
-          "2010-03-06T14:27:00-07:00",
-          "2010-03-06T14:28:00-07:00",
-          "2010-03-06T14:29:00-07:00",
-          "2010-03-06T14:30:00-07:00",
-          "2010-03-06T14:31:00-07:00",
-          "2010-03-06T14:32:00-07:00",
-          "2010-03-06T14:33:00-07:00",
-          "2010-03-06T14:34:00-07:00",
-          "2010-03-06T14:35:00-07:00",
-          "2010-03-06T14:36:00-07:00",
-          "2010-03-06T14:37:00-07:00",
-          "2010-03-06T14:38:00-07:00",
-          "2010-03-06T14:39:00-07:00",
-          "2010-03-06T14:40:00-07:00",
-          "2010-03-06T14:41:00-07:00",
-          "2010-03-06T14:42:00-07:00",
-          "2010-03-06T14:43:00-07:00",
-          "2010-03-06T14:44:00-07:00",
-          "2010-03-06T14:45:00-07:00",
-          "2010-03-06T14:46:00-07:00",
-          "2010-03-06T14:47:00-07:00",
-          "2010-03-06T14:48:00-07:00",
-          "2010-03-06T14:49:00-07:00",
-          "2010-03-06T14:50:00-07:00",
-          "2010-03-06T14:51:00-07:00",
-          "2010-03-06T14:52:00-07:00",
-          "2010-03-06T14:53:00-07:00",
-          "2010-03-06T14:54:00-07:00",
-          "2010-03-06T14:55:00-07:00",
-          "2010-03-06T14:56:00-07:00",
-          "2010-03-06T14:57:00-07:00",
-          "2010-03-06T14:58:00-07:00",
-          "2010-03-06T14:59:00-07:00",
-          "2010-03-06T15:00:00-07:00",
-          "2010-03-06T15:01:00-07:00",
-          "2010-03-06T15:02:00-07:00",
-          "2010-03-06T15:03:00-07:00",
-          "2010-03-06T15:04:00-07:00",
-          "2010-03-06T15:05:00-07:00",
-          "2010-03-06T15:06:00-07:00",
-          "2010-03-06T15:07:00-07:00",
-          "2010-03-06T15:08:00-07:00",
-          "2010-03-06T15:09:00-07:00",
-          "2010-03-06T15:10:00-07:00",
-          "2010-03-06T15:11:00-07:00",
-          "2010-03-06T15:12:00-07:00",
-          "2010-03-06T15:13:00-07:00",
-          "2010-03-06T15:14:00-07:00",
-          "2010-03-06T15:15:00-07:00",
-          "2010-03-06T15:16:00-07:00",
-          "2010-03-06T15:17:00-07:00",
-          "2010-03-06T15:18:00-07:00",
-          "2010-03-06T15:19:00-07:00",
-          "2010-03-06T15:20:00-07:00",
-          "2010-03-06T15:21:00-07:00",
-          "2010-03-06T15:22:00-07:00",
-          "2010-03-06T15:23:00-07:00",
-          "2010-03-06T15:24:00-07:00",
-          "2010-03-06T15:25:00-07:00",
-          "2010-03-06T15:26:00-07:00",
-          "2010-03-06T15:27:00-07:00",
-          "2010-03-06T15:28:00-07:00",
-          "2010-03-06T15:29:00-07:00",
-          "2010-03-06T15:30:00-07:00",
-          "2010-03-06T15:31:00-07:00",
-          "2010-03-06T15:32:00-07:00",
-          "2010-03-06T15:33:00-07:00",
-          "2010-03-06T15:34:00-07:00",
-          "2010-03-06T15:35:00-07:00",
-          "2010-03-06T15:36:00-07:00",
-          "2010-03-06T15:37:00-07:00",
-          "2010-03-06T15:38:00-07:00",
-          "2010-03-06T15:39:00-07:00",
-          "2010-03-06T15:40:00-07:00",
-          "2010-03-06T15:41:00-07:00",
-          "2010-03-06T15:42:00-07:00",
-          "2010-03-06T15:43:00-07:00",
-          "2010-03-06T15:44:00-07:00",
-          "2010-03-06T15:45:00-07:00",
-          "2010-03-06T15:46:00-07:00",
-          "2010-03-06T15:47:00-07:00",
-          "2010-03-06T15:48:00-07:00",
-          "2010-03-06T15:49:00-07:00",
-          "2010-03-06T15:50:00-07:00",
-          "2010-03-06T15:51:00-07:00",
-          "2010-03-06T15:52:00-07:00",
-          "2010-03-06T15:53:00-07:00",
-          "2010-03-06T15:54:00-07:00",
-          "2010-03-06T15:55:00-07:00",
-          "2010-03-06T15:56:00-07:00",
-          "2010-03-06T15:57:00-07:00",
-          "2010-03-06T15:58:00-07:00",
-          "2010-03-06T15:59:00-07:00",
-          "2010-03-06T16:00:00-07:00",
-          "2010-03-06T16:01:00-07:00",
-          "2010-03-06T16:02:00-07:00",
-          "2010-03-06T16:03:00-07:00",
-          "2010-03-06T16:04:00-07:00",
-          "2010-03-06T16:05:00-07:00",
-          "2010-03-06T16:06:00-07:00",
-          "2010-03-06T16:07:00-07:00",
-          "2010-03-06T16:08:00-07:00",
-          "2010-03-06T16:09:00-07:00",
-          "2010-03-06T16:10:00-07:00",
-          "2010-03-06T16:11:00-07:00",
-          "2010-03-06T16:12:00-07:00",
-          "2010-03-06T16:13:00-07:00",
-          "2010-03-06T16:14:00-07:00",
-          "2010-03-06T16:15:00-07:00",
-          "2010-03-06T16:16:00-07:00",
-          "2010-03-06T16:17:00-07:00",
-          "2010-03-06T16:18:00-07:00",
-          "2010-03-06T16:19:00-07:00",
-          "2010-03-06T16:20:00-07:00",
-          "2010-03-06T16:21:00-07:00",
-          "2010-03-06T16:22:00-07:00",
-          "2010-03-06T16:23:00-07:00",
-          "2010-03-06T16:24:00-07:00",
-          "2010-03-06T16:25:00-07:00",
-          "2010-03-06T16:26:00-07:00",
-          "2010-03-06T16:27:00-07:00",
-          "2010-03-06T16:28:00-07:00",
-          "2010-03-06T16:29:00-07:00",
-          "2010-03-06T16:30:00-07:00",
-          "2010-03-06T16:31:00-07:00",
-          "2010-03-06T16:32:00-07:00",
-          "2010-03-06T16:33:00-07:00",
-          "2010-03-06T16:34:00-07:00",
-          "2010-03-06T16:35:00-07:00",
-          "2010-03-06T16:36:00-07:00",
-          "2010-03-06T16:37:00-07:00",
-          "2010-03-06T16:38:00-07:00",
-          "2010-03-06T16:39:00-07:00",
-          "2010-03-06T16:40:00-07:00",
-          "2010-03-06T16:41:00-07:00",
-          "2010-03-06T16:42:00-07:00",
-          "2010-03-06T16:43:00-07:00",
-          "2010-03-06T16:44:00-07:00",
-          "2010-03-06T16:45:00-07:00",
-          "2010-03-06T16:46:00-07:00",
-          "2010-03-06T16:47:00-07:00",
-          "2010-03-06T16:48:00-07:00",
-          "2010-03-06T16:49:00-07:00",
-          "2010-03-06T16:50:00-07:00",
-          "2010-03-06T16:51:00-07:00",
-          "2010-03-06T16:52:00-07:00",
-          "2010-03-06T16:53:00-07:00",
-          "2010-03-06T16:54:00-07:00",
-          "2010-03-06T16:55:00-07:00",
-          "2010-03-06T16:56:00-07:00",
-          "2010-03-06T16:57:00-07:00",
-          "2010-03-06T16:58:00-07:00",
-          "2010-03-06T16:59:00-07:00",
-          "2010-03-06T17:00:00-07:00",
-          "2010-03-06T17:01:00-07:00",
-          "2010-03-06T17:02:00-07:00",
-          "2010-03-06T17:03:00-07:00",
-          "2010-03-06T17:04:00-07:00",
-          "2010-03-06T17:05:00-07:00",
-          "2010-03-06T17:06:00-07:00",
-          "2010-03-06T17:07:00-07:00",
-          "2010-03-06T17:08:00-07:00",
-          "2010-03-06T17:09:00-07:00",
-          "2010-03-06T17:10:00-07:00",
-          "2010-03-06T17:11:00-07:00",
-          "2010-03-06T17:12:00-07:00",
-          "2010-03-06T17:13:00-07:00",
-          "2010-03-06T17:14:00-07:00",
-          "2010-03-06T17:15:00-07:00",
-          "2010-03-06T17:16:00-07:00",
-          "2010-03-06T17:17:00-07:00",
-          "2010-03-06T17:18:00-07:00",
-          "2010-03-06T17:19:00-07:00",
-          "2010-03-06T17:20:00-07:00",
-          "2010-03-06T17:21:00-07:00",
-          "2010-03-06T17:22:00-07:00",
-          "2010-03-06T17:23:00-07:00",
-          "2010-03-06T17:24:00-07:00",
-          "2010-03-06T17:25:00-07:00",
-          "2010-03-06T17:26:00-07:00",
-          "2010-03-06T17:27:00-07:00",
-          "2010-03-06T17:28:00-07:00",
-          "2010-03-06T17:29:00-07:00",
-          "2010-03-06T17:30:00-07:00",
-          "2010-03-06T17:31:00-07:00",
-          "2010-03-06T17:32:00-07:00",
-          "2010-03-06T17:33:00-07:00",
-          "2010-03-06T17:34:00-07:00",
-          "2010-03-06T17:35:00-07:00",
-          "2010-03-06T17:36:00-07:00",
-          "2010-03-06T17:37:00-07:00",
-          "2010-03-06T17:38:00-07:00",
-          "2010-03-06T17:39:00-07:00",
-          "2010-03-06T17:40:00-07:00",
-          "2010-03-06T17:41:00-07:00",
-          "2010-03-06T17:42:00-07:00",
-          "2010-03-06T17:43:00-07:00",
-          "2010-03-06T17:44:00-07:00",
-          "2010-03-06T17:45:00-07:00",
-          "2010-03-06T17:46:00-07:00",
-          "2010-03-06T17:47:00-07:00",
-          "2010-03-06T17:48:00-07:00",
-          "2010-03-06T17:49:00-07:00",
-          "2010-03-06T17:50:00-07:00",
-          "2010-03-06T17:51:00-07:00",
-          "2010-03-06T17:52:00-07:00",
-          "2010-03-06T17:53:00-07:00",
-          "2010-03-06T17:54:00-07:00",
-          "2010-03-06T17:55:00-07:00",
-          "2010-03-06T17:56:00-07:00",
-          "2010-03-06T17:57:00-07:00",
-          "2010-03-06T17:58:00-07:00",
-          "2010-03-06T17:59:00-07:00",
-          "2010-03-06T18:00:00-07:00",
-          "2010-03-06T18:01:00-07:00",
-          "2010-03-06T18:02:00-07:00",
-          "2010-03-06T18:03:00-07:00",
-          "2010-03-06T18:04:00-07:00",
-          "2010-03-06T18:05:00-07:00",
-          "2010-03-06T18:06:00-07:00",
-          "2010-03-06T18:07:00-07:00",
-          "2010-03-06T18:08:00-07:00",
-          "2010-03-06T18:09:00-07:00",
-          "2010-03-06T18:10:00-07:00",
-          "2010-03-06T18:11:00-07:00",
-          "2010-03-06T18:12:00-07:00",
-          "2010-03-06T18:13:00-07:00",
-          "2010-03-06T18:14:00-07:00",
-          "2010-03-06T18:15:00-07:00",
-          "2010-03-06T18:16:00-07:00",
-          "2010-03-06T18:17:00-07:00",
-          "2010-03-06T18:18:00-07:00",
-          "2010-03-06T18:19:00-07:00",
-          "2010-03-06T18:20:00-07:00",
-          "2010-03-06T18:21:00-07:00",
-          "2010-03-06T18:22:00-07:00",
-          "2010-03-06T18:23:00-07:00",
-          "2010-03-06T18:24:00-07:00",
-          "2010-03-06T18:25:00-07:00",
-          "2010-03-06T18:26:00-07:00",
-          "2010-03-06T18:27:00-07:00",
-          "2010-03-06T18:28:00-07:00",
-          "2010-03-06T18:29:00-07:00",
-          "2010-03-06T18:30:00-07:00",
-          "2010-03-06T18:31:00-07:00",
-          "2010-03-06T18:32:00-07:00",
-          "2010-03-06T18:33:00-07:00",
-          "2010-03-06T18:34:00-07:00",
-          "2010-03-06T18:35:00-07:00",
-          "2010-03-06T18:36:00-07:00",
-          "2010-03-06T18:37:00-07:00",
-          "2010-03-06T18:38:00-07:00",
-          "2010-03-06T18:39:00-07:00",
-          "2010-03-06T18:40:00-07:00",
-          "2010-03-06T18:41:00-07:00",
-          "2010-03-06T18:42:00-07:00",
-          "2010-03-06T18:43:00-07:00",
-          "2010-03-06T18:44:00-07:00",
-          "2010-03-06T18:45:00-07:00",
-          "2010-03-06T18:46:00-07:00",
-          "2010-03-06T18:47:00-07:00",
-          "2010-03-06T18:48:00-07:00",
-          "2010-03-06T18:49:00-07:00",
-          "2010-03-06T18:50:00-07:00",
-          "2010-03-06T18:51:00-07:00",
-          "2010-03-06T18:52:00-07:00",
-          "2010-03-06T18:53:00-07:00",
-          "2010-03-06T18:54:00-07:00",
-          "2010-03-06T18:55:00-07:00",
-          "2010-03-06T18:56:00-07:00",
-          "2010-03-06T18:57:00-07:00",
-          "2010-03-06T18:58:00-07:00",
-          "2010-03-06T18:59:00-07:00",
-          "2010-03-06T19:00:00-07:00",
-          "2010-03-06T19:01:00-07:00",
-          "2010-03-06T19:02:00-07:00",
-          "2010-03-06T19:03:00-07:00",
-          "2010-03-06T19:04:00-07:00",
-          "2010-03-06T19:05:00-07:00",
-          "2010-03-06T19:06:00-07:00",
-          "2010-03-06T19:07:00-07:00",
-          "2010-03-06T19:08:00-07:00",
-          "2010-03-06T19:09:00-07:00",
-          "2010-03-06T19:10:00-07:00",
-          "2010-03-06T19:11:00-07:00",
-          "2010-03-06T19:12:00-07:00",
-          "2010-03-06T19:13:00-07:00",
-          "2010-03-06T19:14:00-07:00",
-          "2010-03-06T19:15:00-07:00",
-          "2010-03-06T19:16:00-07:00",
-          "2010-03-06T19:17:00-07:00",
-          "2010-03-06T19:18:00-07:00",
-          "2010-03-06T19:19:00-07:00",
-          "2010-03-06T19:20:00-07:00",
-          "2010-03-06T19:21:00-07:00",
-          "2010-03-06T19:22:00-07:00",
-          "2010-03-06T19:23:00-07:00",
-          "2010-03-06T19:24:00-07:00",
-          "2010-03-06T19:25:00-07:00",
-          "2010-03-06T19:26:00-07:00",
-          "2010-03-06T19:27:00-07:00",
-          "2010-03-06T19:28:00-07:00",
-          "2010-03-06T19:29:00-07:00",
-          "2010-03-06T19:30:00-07:00",
-          "2010-03-06T19:31:00-07:00",
-          "2010-03-06T19:32:00-07:00",
-          "2010-03-06T19:33:00-07:00",
-          "2010-03-06T19:34:00-07:00",
-          "2010-03-06T19:35:00-07:00",
-          "2010-03-06T19:36:00-07:00",
-          "2010-03-06T19:37:00-07:00",
-          "2010-03-06T19:38:00-07:00",
-          "2010-03-06T19:39:00-07:00",
-          "2010-03-06T19:40:00-07:00",
-          "2010-03-06T19:41:00-07:00",
-          "2010-03-06T19:42:00-07:00",
-          "2010-03-06T19:43:00-07:00",
-          "2010-03-06T19:44:00-07:00",
-          "2010-03-06T19:45:00-07:00",
-          "2010-03-06T19:46:00-07:00",
-          "2010-03-06T19:47:00-07:00",
-          "2010-03-06T19:48:00-07:00",
-          "2010-03-06T19:49:00-07:00",
-          "2010-03-06T19:50:00-07:00",
-          "2010-03-06T19:51:00-07:00",
-          "2010-03-06T19:52:00-07:00",
-          "2010-03-06T19:53:00-07:00",
-          "2010-03-06T19:54:00-07:00",
-          "2010-03-06T19:55:00-07:00",
-          "2010-03-06T19:56:00-07:00",
-          "2010-03-06T19:57:00-07:00",
-          "2010-03-06T19:58:00-07:00",
-          "2010-03-06T19:59:00-07:00",
-          "2010-03-06T20:00:00-07:00",
-          "2010-03-06T20:01:00-07:00",
-          "2010-03-06T20:02:00-07:00",
-          "2010-03-06T20:03:00-07:00",
-          "2010-03-06T20:04:00-07:00",
-          "2010-03-06T20:05:00-07:00",
-          "2010-03-06T20:06:00-07:00",
-          "2010-03-06T20:07:00-07:00",
-          "2010-03-06T20:08:00-07:00",
-          "2010-03-06T20:09:00-07:00",
-          "2010-03-06T20:10:00-07:00",
-          "2010-03-06T20:11:00-07:00",
-          "2010-03-06T20:12:00-07:00",
-          "2010-03-06T20:13:00-07:00",
-          "2010-03-06T20:14:00-07:00",
-          "2010-03-06T20:15:00-07:00",
-          "2010-03-06T20:16:00-07:00",
-          "2010-03-06T20:17:00-07:00",
-          "2010-03-06T20:18:00-07:00",
-          "2010-03-06T20:19:00-07:00",
-          "2010-03-06T20:20:00-07:00",
-          "2010-03-06T20:21:00-07:00",
-          "2010-03-06T20:22:00-07:00",
-          "2010-03-06T20:23:00-07:00",
-          "2010-03-06T20:24:00-07:00",
-          "2010-03-06T20:25:00-07:00",
-          "2010-03-06T20:26:00-07:00",
-          "2010-03-06T20:27:00-07:00",
-          "2010-03-06T20:28:00-07:00",
-          "2010-03-06T20:29:00-07:00",
-          "2010-03-06T20:30:00-07:00",
-          "2010-03-06T20:31:00-07:00",
-          "2010-03-06T20:32:00-07:00",
-          "2010-03-06T20:33:00-07:00",
-          "2010-03-06T20:34:00-07:00",
-          "2010-03-06T20:35:00-07:00",
-          "2010-03-06T20:36:00-07:00",
-          "2010-03-06T20:37:00-07:00",
-          "2010-03-06T20:38:00-07:00",
-          "2010-03-06T20:39:00-07:00",
-          "2010-03-06T20:40:00-07:00",
-          "2010-03-06T20:41:00-07:00",
-          "2010-03-06T20:42:00-07:00",
-          "2010-03-06T20:43:00-07:00",
-          "2010-03-06T20:44:00-07:00",
-          "2010-03-06T20:45:00-07:00",
-          "2010-03-06T20:46:00-07:00",
-          "2010-03-06T20:47:00-07:00",
-          "2010-03-06T20:48:00-07:00",
-          "2010-03-06T20:49:00-07:00",
-          "2010-03-06T20:50:00-07:00",
-          "2010-03-06T20:51:00-07:00",
-          "2010-03-06T20:52:00-07:00",
-          "2010-03-06T20:53:00-07:00",
-          "2010-03-06T20:54:00-07:00",
-          "2010-03-06T20:55:00-07:00",
-          "2010-03-06T20:56:00-07:00",
-          "2010-03-06T20:57:00-07:00",
-          "2010-03-06T20:58:00-07:00",
-          "2010-03-06T20:59:00-07:00",
-          "2010-03-06T21:00:00-07:00",
-          "2010-03-06T21:01:00-07:00",
-          "2010-03-06T21:02:00-07:00",
-          "2010-03-06T21:03:00-07:00",
-          "2010-03-06T21:04:00-07:00",
-          "2010-03-06T21:05:00-07:00",
-          "2010-03-06T21:06:00-07:00",
-          "2010-03-06T21:07:00-07:00",
-          "2010-03-06T21:08:00-07:00",
-          "2010-03-06T21:09:00-07:00",
-          "2010-03-06T21:10:00-07:00",
-          "2010-03-06T21:11:00-07:00",
-          "2010-03-06T21:12:00-07:00",
-          "2010-03-06T21:13:00-07:00",
-          "2010-03-06T21:14:00-07:00",
-          "2010-03-06T21:15:00-07:00",
-          "2010-03-06T21:16:00-07:00",
-          "2010-03-06T21:17:00-07:00",
-          "2010-03-06T21:18:00-07:00",
-          "2010-03-06T21:19:00-07:00",
-          "2010-03-06T21:20:00-07:00",
-          "2010-03-06T21:21:00-07:00",
-          "2010-03-06T21:22:00-07:00",
-          "2010-03-06T21:23:00-07:00",
-          "2010-03-06T21:24:00-07:00",
-          "2010-03-06T21:25:00-07:00",
-          "2010-03-06T21:26:00-07:00",
-          "2010-03-06T21:27:00-07:00",
-          "2010-03-06T21:28:00-07:00",
-          "2010-03-06T21:29:00-07:00",
-          "2010-03-06T21:30:00-07:00",
-          "2010-03-06T21:31:00-07:00",
-          "2010-03-06T21:32:00-07:00",
-          "2010-03-06T21:33:00-07:00",
-          "2010-03-06T21:34:00-07:00",
-          "2010-03-06T21:35:00-07:00",
-          "2010-03-06T21:36:00-07:00",
-          "2010-03-06T21:37:00-07:00",
-          "2010-03-06T21:38:00-07:00",
-          "2010-03-06T21:39:00-07:00",
-          "2010-03-06T21:40:00-07:00",
-          "2010-03-06T21:41:00-07:00",
-          "2010-03-06T21:42:00-07:00",
-          "2010-03-06T21:43:00-07:00",
-          "2010-03-06T21:44:00-07:00",
-          "2010-03-06T21:45:00-07:00",
-          "2010-03-06T21:46:00-07:00",
-          "2010-03-06T21:47:00-07:00",
-          "2010-03-06T21:48:00-07:00",
-          "2010-03-06T21:49:00-07:00",
-          "2010-03-06T21:50:00-07:00",
-          "2010-03-06T21:51:00-07:00",
-          "2010-03-06T21:52:00-07:00",
-          "2010-03-06T21:53:00-07:00",
-          "2010-03-06T21:54:00-07:00",
-          "2010-03-06T21:55:00-07:00",
-          "2010-03-06T21:56:00-07:00",
-          "2010-03-06T21:57:00-07:00",
-          "2010-03-06T21:58:00-07:00",
-          "2010-03-06T21:59:00-07:00",
-          "2010-03-06T22:00:00-07:00",
-          "2010-03-06T22:01:00-07:00",
-          "2010-03-06T22:02:00-07:00",
-          "2010-03-06T22:03:00-07:00",
-          "2010-03-06T22:04:00-07:00",
-          "2010-03-06T22:05:00-07:00",
-          "2010-03-06T22:06:00-07:00",
-          "2010-03-06T22:07:00-07:00",
-          "2010-03-06T22:08:00-07:00",
-          "2010-03-06T22:09:00-07:00",
-          "2010-03-06T22:10:00-07:00",
-          "2010-03-06T22:11:00-07:00",
-          "2010-03-06T22:12:00-07:00",
-          "2010-03-06T22:13:00-07:00",
-          "2010-03-06T22:14:00-07:00",
-          "2010-03-06T22:15:00-07:00",
-          "2010-03-06T22:16:00-07:00",
-          "2010-03-06T22:17:00-07:00",
-          "2010-03-06T22:18:00-07:00",
-          "2010-03-06T22:19:00-07:00",
-          "2010-03-06T22:20:00-07:00",
-          "2010-03-06T22:21:00-07:00",
-          "2010-03-06T22:22:00-07:00",
-          "2010-03-06T22:23:00-07:00",
-          "2010-03-06T22:24:00-07:00",
-          "2010-03-06T22:25:00-07:00",
-          "2010-03-06T22:26:00-07:00",
-          "2010-03-06T22:27:00-07:00",
-          "2010-03-06T22:28:00-07:00",
-          "2010-03-06T22:29:00-07:00",
-          "2010-03-06T22:30:00-07:00",
-          "2010-03-06T22:31:00-07:00",
-          "2010-03-06T22:32:00-07:00",
-          "2010-03-06T22:33:00-07:00",
-          "2010-03-06T22:34:00-07:00",
-          "2010-03-06T22:35:00-07:00",
-          "2010-03-06T22:36:00-07:00",
-          "2010-03-06T22:37:00-07:00",
-          "2010-03-06T22:38:00-07:00",
-          "2010-03-06T22:39:00-07:00",
-          "2010-03-06T22:40:00-07:00",
-          "2010-03-06T22:41:00-07:00",
-          "2010-03-06T22:42:00-07:00",
-          "2010-03-06T22:43:00-07:00",
-          "2010-03-06T22:44:00-07:00",
-          "2010-03-06T22:45:00-07:00",
-          "2010-03-06T22:46:00-07:00",
-          "2010-03-06T22:47:00-07:00",
-          "2010-03-06T22:48:00-07:00",
-          "2010-03-06T22:49:00-07:00",
-          "2010-03-06T22:50:00-07:00",
-          "2010-03-06T22:51:00-07:00",
-          "2010-03-06T22:52:00-07:00",
-          "2010-03-06T22:53:00-07:00",
-          "2010-03-06T22:54:00-07:00",
-          "2010-03-06T22:55:00-07:00",
-          "2010-03-06T22:56:00-07:00",
-          "2010-03-06T22:57:00-07:00",
-          "2010-03-06T22:58:00-07:00",
-          "2010-03-06T22:59:00-07:00",
-          "2010-03-06T23:00:00-07:00",
-          "2010-03-06T23:01:00-07:00",
-          "2010-03-06T23:02:00-07:00",
-          "2010-03-06T23:03:00-07:00",
-          "2010-03-06T23:04:00-07:00",
-          "2010-03-06T23:05:00-07:00",
-          "2010-03-06T23:06:00-07:00",
-          "2010-03-06T23:07:00-07:00",
-          "2010-03-06T23:08:00-07:00",
-          "2010-03-06T23:09:00-07:00",
-          "2010-03-06T23:10:00-07:00",
-          "2010-03-06T23:11:00-07:00",
-          "2010-03-06T23:12:00-07:00",
-          "2010-03-06T23:13:00-07:00",
-          "2010-03-06T23:14:00-07:00",
-          "2010-03-06T23:15:00-07:00",
-          "2010-03-06T23:16:00-07:00",
-          "2010-03-06T23:17:00-07:00",
-          "2010-03-06T23:18:00-07:00",
-          "2010-03-06T23:19:00-07:00",
-          "2010-03-06T23:20:00-07:00",
-          "2010-03-06T23:21:00-07:00",
-          "2010-03-06T23:22:00-07:00",
-          "2010-03-06T23:23:00-07:00",
-          "2010-03-06T23:24:00-07:00",
-          "2010-03-06T23:25:00-07:00",
-          "2010-03-06T23:26:00-07:00",
-          "2010-03-06T23:27:00-07:00",
-          "2010-03-06T23:28:00-07:00",
-          "2010-03-06T23:29:00-07:00",
-          "2010-03-06T23:30:00-07:00",
-          "2010-03-06T23:31:00-07:00",
-          "2010-03-06T23:32:00-07:00",
-          "2010-03-06T23:33:00-07:00",
-          "2010-03-06T23:34:00-07:00",
-          "2010-03-06T23:35:00-07:00",
-          "2010-03-06T23:36:00-07:00",
-          "2010-03-06T23:37:00-07:00",
-          "2010-03-06T23:38:00-07:00",
-          "2010-03-06T23:39:00-07:00",
-          "2010-03-06T23:40:00-07:00",
-          "2010-03-06T23:41:00-07:00",
-          "2010-03-06T23:42:00-07:00",
-          "2010-03-06T23:43:00-07:00",
-          "2010-03-06T23:44:00-07:00",
-          "2010-03-06T23:45:00-07:00",
-          "2010-03-06T23:46:00-07:00",
-          "2010-03-06T23:47:00-07:00",
-          "2010-03-06T23:48:00-07:00",
-          "2010-03-06T23:49:00-07:00",
-          "2010-03-06T23:50:00-07:00",
-          "2010-03-06T23:51:00-07:00",
-          "2010-03-06T23:52:00-07:00",
-          "2010-03-06T23:53:00-07:00",
-          "2010-03-06T23:54:00-07:00",
-          "2010-03-06T23:55:00-07:00",
-          "2010-03-06T23:56:00-07:00",
-          "2010-03-06T23:57:00-07:00",
-          "2010-03-06T23:58:00-07:00",
-          "2010-03-06T23:59:00-07:00",
-          "2010-03-07T00:00:00-07:00",
-          "2010-03-07T00:01:00-07:00",
-          "2010-03-07T00:02:00-07:00",
-          "2010-03-07T00:03:00-07:00",
-          "2010-03-07T00:04:00-07:00",
-          "2010-03-07T00:05:00-07:00",
-          "2010-03-07T00:06:00-07:00",
-          "2010-03-07T00:07:00-07:00",
-          "2010-03-07T00:08:00-07:00",
-          "2010-03-07T00:09:00-07:00",
-          "2010-03-07T00:10:00-07:00",
-          "2010-03-07T00:11:00-07:00",
-          "2010-03-07T00:12:00-07:00",
-          "2010-03-07T00:13:00-07:00",
-          "2010-03-07T00:14:00-07:00",
-          "2010-03-07T00:15:00-07:00",
-          "2010-03-07T00:16:00-07:00",
-          "2010-03-07T00:17:00-07:00",
-          "2010-03-07T00:18:00-07:00",
-          "2010-03-07T00:19:00-07:00",
-          "2010-03-07T00:20:00-07:00",
-          "2010-03-07T00:21:00-07:00",
-          "2010-03-07T00:22:00-07:00",
-          "2010-03-07T00:23:00-07:00",
-          "2010-03-07T00:24:00-07:00",
-          "2010-03-07T00:25:00-07:00",
-          "2010-03-07T00:26:00-07:00",
-          "2010-03-07T00:27:00-07:00",
-          "2010-03-07T00:28:00-07:00",
-          "2010-03-07T00:29:00-07:00",
-          "2010-03-07T00:30:00-07:00",
-          "2010-03-07T00:31:00-07:00",
-          "2010-03-07T00:32:00-07:00",
-          "2010-03-07T00:33:00-07:00",
-          "2010-03-07T00:34:00-07:00",
-          "2010-03-07T00:35:00-07:00",
-          "2010-03-07T00:36:00-07:00",
-          "2010-03-07T00:37:00-07:00",
-          "2010-03-07T00:38:00-07:00",
-          "2010-03-07T00:39:00-07:00",
-          "2010-03-07T00:40:00-07:00",
-          "2010-03-07T00:41:00-07:00",
-          "2010-03-07T00:42:00-07:00",
-          "2010-03-07T00:43:00-07:00",
-          "2010-03-07T00:44:00-07:00",
-          "2010-03-07T00:45:00-07:00",
-          "2010-03-07T00:46:00-07:00",
-          "2010-03-07T00:47:00-07:00",
-          "2010-03-07T00:48:00-07:00",
-          "2010-03-07T00:49:00-07:00",
-          "2010-03-07T00:50:00-07:00",
-          "2010-03-07T00:51:00-07:00",
-          "2010-03-07T00:52:00-07:00",
-          "2010-03-07T00:53:00-07:00",
-          "2010-03-07T00:54:00-07:00",
-          "2010-03-07T00:55:00-07:00",
-          "2010-03-07T00:56:00-07:00",
-          "2010-03-07T00:57:00-07:00",
-          "2010-03-07T00:58:00-07:00",
-          "2010-03-07T00:59:00-07:00",
-          "2010-03-07T01:00:00-07:00",
-          "2010-03-07T01:01:00-07:00",
-          "2010-03-07T01:02:00-07:00",
-          "2010-03-07T01:03:00-07:00",
-          "2010-03-07T01:04:00-07:00",
-          "2010-03-07T01:05:00-07:00",
-          "2010-03-07T01:06:00-07:00",
-          "2010-03-07T01:07:00-07:00",
-          "2010-03-07T01:08:00-07:00",
-          "2010-03-07T01:09:00-07:00",
-          "2010-03-07T01:10:00-07:00",
-          "2010-03-07T01:11:00-07:00",
-          "2010-03-07T01:12:00-07:00",
-          "2010-03-07T01:13:00-07:00",
-          "2010-03-07T01:14:00-07:00",
-          "2010-03-07T01:15:00-07:00",
-          "2010-03-07T01:16:00-07:00",
-          "2010-03-07T01:17:00-07:00",
-          "2010-03-07T01:18:00-07:00",
-          "2010-03-07T01:19:00-07:00",
-          "2010-03-07T01:20:00-07:00",
-          "2010-03-07T01:21:00-07:00",
-          "2010-03-07T01:22:00-07:00",
-          "2010-03-07T01:23:00-07:00",
-          "2010-03-07T01:24:00-07:00",
-          "2010-03-07T01:25:00-07:00",
-          "2010-03-07T01:26:00-07:00",
-          "2010-03-07T01:27:00-07:00",
-          "2010-03-07T01:28:00-07:00",
-          "2010-03-07T01:29:00-07:00",
-          "2010-03-07T01:30:00-07:00",
-          "2010-03-07T01:31:00-07:00",
-          "2010-03-07T01:32:00-07:00",
-          "2010-03-07T01:33:00-07:00",
-          "2010-03-07T01:34:00-07:00",
-          "2010-03-07T01:35:00-07:00",
-          "2010-03-07T01:36:00-07:00",
-          "2010-03-07T01:37:00-07:00",
-          "2010-03-07T01:38:00-07:00",
-          "2010-03-07T01:39:00-07:00",
-          "2010-03-07T01:40:00-07:00",
-          "2010-03-07T01:41:00-07:00",
-          "2010-03-07T01:42:00-07:00",
-          "2010-03-07T01:43:00-07:00",
-          "2010-03-07T01:44:00-07:00",
-          "2010-03-07T01:45:00-07:00",
-          "2010-03-07T01:46:00-07:00",
-          "2010-03-07T01:47:00-07:00",
-          "2010-03-07T01:48:00-07:00",
-          "2010-03-07T01:49:00-07:00",
-          "2010-03-07T01:50:00-07:00",
-          "2010-03-07T01:51:00-07:00",
-          "2010-03-07T01:52:00-07:00",
-          "2010-03-07T01:53:00-07:00",
-          "2010-03-07T01:54:00-07:00",
-          "2010-03-07T01:55:00-07:00",
-          "2010-03-07T01:56:00-07:00",
-          "2010-03-07T01:57:00-07:00",
-          "2010-03-07T01:58:00-07:00",
-          "2010-03-07T01:59:00-07:00",
-          "2010-03-07T02:00:00-07:00",
-          "2010-03-07T02:01:00-07:00",
-          "2010-03-07T02:02:00-07:00",
-          "2010-03-07T02:03:00-07:00",
-          "2010-03-07T02:04:00-07:00",
-          "2010-03-07T02:05:00-07:00",
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-          "2010-03-07T02:09:00-07:00",
-          "2010-03-07T02:10:00-07:00",
-          "2010-03-07T02:11:00-07:00",
-          "2010-03-07T02:12:00-07:00",
-          "2010-03-07T02:13:00-07:00",
-          "2010-03-07T02:14:00-07:00",
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-          "2010-03-07T02:16:00-07:00",
-          "2010-03-07T02:17:00-07:00",
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-          "2010-03-07T02:19:00-07:00",
-          "2010-03-07T02:20:00-07:00",
-          "2010-03-07T02:21:00-07:00",
-          "2010-03-07T02:22:00-07:00",
-          "2010-03-07T02:23:00-07:00",
-          "2010-03-07T02:24:00-07:00",
-          "2010-03-07T02:25:00-07:00",
-          "2010-03-07T02:26:00-07:00",
-          "2010-03-07T02:27:00-07:00",
-          "2010-03-07T02:28:00-07:00",
-          "2010-03-07T02:29:00-07:00",
-          "2010-03-07T02:30:00-07:00",
-          "2010-03-07T02:31:00-07:00",
-          "2010-03-07T02:32:00-07:00",
-          "2010-03-07T02:33:00-07:00",
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-          "2010-03-07T02:35:00-07:00",
-          "2010-03-07T02:36:00-07:00",
-          "2010-03-07T02:37:00-07:00",
-          "2010-03-07T02:38:00-07:00",
-          "2010-03-07T02:39:00-07:00",
-          "2010-03-07T02:40:00-07:00",
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-          "2010-03-07T02:52:00-07:00",
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-          "2010-03-07T02:54:00-07:00",
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-          "2010-03-07T03:27:00-07:00",
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-          "2010-03-07T03:29:00-07:00",
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-          "2010-03-07T03:51:00-07:00",
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-          "2010-03-07T03:58:00-07:00",
-          "2010-03-07T03:59:00-07:00",
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-          "2010-03-07T04:08:00-07:00",
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-          "2010-03-07T04:10:00-07:00",
-          "2010-03-07T04:11:00-07:00",
-          "2010-03-07T04:12:00-07:00",
-          "2010-03-07T04:13:00-07:00",
-          "2010-03-07T04:14:00-07:00",
-          "2010-03-07T04:15:00-07:00",
-          "2010-03-07T04:16:00-07:00",
-          "2010-03-07T04:17:00-07:00",
-          "2010-03-07T04:18:00-07:00",
-          "2010-03-07T04:19:00-07:00",
-          "2010-03-07T04:20:00-07:00",
-          "2010-03-07T04:21:00-07:00",
-          "2010-03-07T04:22:00-07:00",
-          "2010-03-07T04:23:00-07:00",
-          "2010-03-07T04:24:00-07:00",
-          "2010-03-07T04:25:00-07:00",
-          "2010-03-07T04:26:00-07:00",
-          "2010-03-07T04:27:00-07:00",
-          "2010-03-07T04:28:00-07:00",
-          "2010-03-07T04:29:00-07:00",
-          "2010-03-07T04:30:00-07:00",
-          "2010-03-07T04:31:00-07:00",
-          "2010-03-07T04:32:00-07:00",
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-          "2010-03-07T04:35:00-07:00",
-          "2010-03-07T04:36:00-07:00",
-          "2010-03-07T04:37:00-07:00",
-          "2010-03-07T04:38:00-07:00",
-          "2010-03-07T04:39:00-07:00",
-          "2010-03-07T04:40:00-07:00",
-          "2010-03-07T04:41:00-07:00",
-          "2010-03-07T04:42:00-07:00",
-          "2010-03-07T04:43:00-07:00",
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-          "2010-03-07T04:50:00-07:00",
-          "2010-03-07T04:51:00-07:00",
-          "2010-03-07T04:52:00-07:00",
-          "2010-03-07T04:53:00-07:00",
-          "2010-03-07T04:54:00-07:00",
-          "2010-03-07T04:55:00-07:00",
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-          "2010-03-07T04:57:00-07:00",
-          "2010-03-07T04:58:00-07:00",
-          "2010-03-07T04:59:00-07:00",
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-          "2010-03-07T05:02:00-07:00",
-          "2010-03-07T05:03:00-07:00",
-          "2010-03-07T05:04:00-07:00",
-          "2010-03-07T05:05:00-07:00",
-          "2010-03-07T05:06:00-07:00",
-          "2010-03-07T05:07:00-07:00",
-          "2010-03-07T05:08:00-07:00",
-          "2010-03-07T05:09:00-07:00",
-          "2010-03-07T05:10:00-07:00",
-          "2010-03-07T05:11:00-07:00",
-          "2010-03-07T05:12:00-07:00",
-          "2010-03-07T05:13:00-07:00",
-          "2010-03-07T05:14:00-07:00",
-          "2010-03-07T05:15:00-07:00",
-          "2010-03-07T05:16:00-07:00",
-          "2010-03-07T05:17:00-07:00",
-          "2010-03-07T05:18:00-07:00",
-          "2010-03-07T05:19:00-07:00",
-          "2010-03-07T05:20:00-07:00",
-          "2010-03-07T05:21:00-07:00",
-          "2010-03-07T05:22:00-07:00",
-          "2010-03-07T05:23:00-07:00",
-          "2010-03-07T05:24:00-07:00",
-          "2010-03-07T05:25:00-07:00",
-          "2010-03-07T05:26:00-07:00",
-          "2010-03-07T05:27:00-07:00",
-          "2010-03-07T05:28:00-07:00",
-          "2010-03-07T05:29:00-07:00",
-          "2010-03-07T05:30:00-07:00",
-          "2010-03-07T05:31:00-07:00",
-          "2010-03-07T05:32:00-07:00",
-          "2010-03-07T05:33:00-07:00",
-          "2010-03-07T05:34:00-07:00",
-          "2010-03-07T05:35:00-07:00",
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-          "2010-03-07T05:37:00-07:00",
-          "2010-03-07T05:38:00-07:00",
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-          "2010-03-07T07:29:00-07:00",
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-          "2010-03-07T07:37:00-07:00",
-          "2010-03-07T07:38:00-07:00",
-          "2010-03-07T07:39:00-07:00",
-          "2010-03-07T07:40:00-07:00",
-          "2010-03-07T07:41:00-07:00",
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-          "2010-03-07T07:49:00-07:00",
-          "2010-03-07T07:50:00-07:00",
-          "2010-03-07T07:51:00-07:00",
-          "2010-03-07T07:52:00-07:00",
-          "2010-03-07T07:53:00-07:00",
-          "2010-03-07T07:54:00-07:00",
-          "2010-03-07T07:55:00-07:00",
-          "2010-03-07T07:56:00-07:00",
-          "2010-03-07T07:57:00-07:00",
-          "2010-03-07T07:58:00-07:00",
-          "2010-03-07T07:59:00-07:00",
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-          "2010-03-07T08:03:00-07:00",
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-          "2010-03-07T08:09:00-07:00",
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-          "2010-03-07T08:12:00-07:00",
-          "2010-03-07T08:13:00-07:00",
-          "2010-03-07T08:14:00-07:00",
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-          "2010-03-07T08:16:00-07:00",
-          "2010-03-07T08:17:00-07:00",
-          "2010-03-07T08:18:00-07:00",
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-          "2010-03-07T08:28:00-07:00",
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-          "2010-03-07T08:39:00-07:00",
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-          "2010-03-07T08:54:00-07:00",
-          "2010-03-07T08:55:00-07:00",
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-          "2010-03-07T09:39:00-07:00",
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-          "2010-03-07T09:41:00-07:00",
-          "2010-03-07T09:42:00-07:00",
-          "2010-03-07T09:43:00-07:00",
-          "2010-03-07T09:44:00-07:00",
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-          "2010-03-07T09:46:00-07:00",
-          "2010-03-07T10:04:00-07:00",
-          "2010-03-07T10:05:00-07:00",
-          "2010-03-07T10:07:00-07:00",
-          "2010-03-07T10:08:00-07:00",
-          "2010-03-07T10:29:00-07:00",
-          "2010-03-07T10:30:00-07:00",
-          "2010-03-07T10:31:00-07:00",
-          "2010-03-07T10:42:00-07:00",
-          "2010-03-07T10:43:00-07:00",
-          "2010-03-07T10:44:00-07:00",
-          "2010-03-07T10:45:00-07:00",
-          "2010-03-07T10:52:00-07:00",
-          "2010-03-07T10:53:00-07:00",
-          "2010-03-07T10:54:00-07:00",
-          "2010-03-07T10:56:00-07:00",
-          "2010-03-07T10:59:00-07:00",
-          "2010-03-07T11:51:00-07:00",
-          "2010-03-07T11:52:00-07:00",
-          "2010-03-07T11:53:00-07:00",
-          "2010-03-07T12:25:00-07:00",
-          "2010-03-07T12:26:00-07:00",
-          "2010-03-07T12:30:00-07:00",
-          "2010-03-07T12:31:00-07:00",
-          "2010-03-07T13:15:00-07:00",
-          "2010-03-07T13:16:00-07:00",
-          "2010-03-07T13:17:00-07:00",
-          "2010-03-07T13:18:00-07:00",
-          "2010-03-07T13:33:00-07:00",
-          "2010-03-07T13:34:00-07:00",
-          "2010-03-07T13:35:00-07:00",
-          "2010-03-07T13:39:00-07:00",
-          "2010-03-07T14:10:00-07:00",
-          "2010-03-07T14:11:00-07:00",
-          "2010-03-07T14:12:00-07:00",
-          "2010-03-07T14:13:00-07:00",
-          "2010-03-07T14:18:00-07:00",
-          "2010-03-07T14:19:00-07:00",
-          "2010-03-07T14:20:00-07:00",
-          "2010-03-07T14:21:00-07:00",
-          "2010-03-07T14:22:00-07:00",
-          "2010-03-07T14:23:00-07:00",
-          "2010-03-07T14:24:00-07:00",
-          "2010-03-07T14:25:00-07:00",
-          "2010-03-07T14:27:00-07:00",
-          "2010-03-07T14:28:00-07:00",
-          "2010-03-07T14:29:00-07:00",
-          "2010-03-07T14:30:00-07:00",
-          "2010-03-07T14:33:00-07:00",
-          "2010-03-07T14:35:00-07:00",
-          "2010-03-07T14:37:00-07:00",
-          "2010-03-07T14:38:00-07:00",
-          "2010-03-07T14:39:00-07:00",
-          "2010-03-07T14:40:00-07:00",
-          "2010-03-07T14:41:00-07:00",
-          "2010-03-07T14:42:00-07:00",
-          "2010-03-07T14:43:00-07:00",
-          "2010-03-07T14:44:00-07:00",
-          "2010-03-07T14:45:00-07:00",
-          "2010-03-07T14:46:00-07:00",
-          "2010-03-07T14:47:00-07:00",
-          "2010-03-07T14:48:00-07:00",
-          "2010-03-07T14:49:00-07:00",
-          "2010-03-07T14:50:00-07:00",
-          "2010-03-07T14:51:00-07:00",
-          "2010-03-07T14:52:00-07:00",
-          "2010-03-07T14:53:00-07:00",
-          "2010-03-07T14:54:00-07:00",
-          "2010-03-07T14:55:00-07:00",
-          "2010-03-07T14:56:00-07:00",
-          "2010-03-07T14:57:00-07:00",
-          "2010-03-07T14:58:00-07:00",
-          "2010-03-07T14:59:00-07:00",
-          "2010-03-07T15:00:00-07:00",
-          "2010-03-07T15:01:00-07:00",
-          "2010-03-07T15:02:00-07:00",
-          "2010-03-07T15:03:00-07:00",
-          "2010-03-07T15:04:00-07:00",
-          "2010-03-07T15:05:00-07:00",
-          "2010-03-07T15:06:00-07:00",
-          "2010-03-07T15:07:00-07:00",
-          "2010-03-07T15:08:00-07:00",
-          "2010-03-07T15:09:00-07:00",
-          "2010-03-07T15:10:00-07:00",
-          "2010-03-07T15:11:00-07:00",
-          "2010-03-07T15:12:00-07:00",
-          "2010-03-07T15:13:00-07:00",
-          "2010-03-07T15:14:00-07:00",
-          "2010-03-07T15:15:00-07:00",
-          "2010-03-07T15:16:00-07:00",
-          "2010-03-07T15:17:00-07:00",
-          "2010-03-07T15:18:00-07:00",
-          "2010-03-07T15:19:00-07:00",
-          "2010-03-07T15:20:00-07:00",
-          "2010-03-07T15:21:00-07:00",
-          "2010-03-07T15:22:00-07:00",
-          "2010-03-07T15:23:00-07:00",
-          "2010-03-07T15:24:00-07:00",
-          "2010-03-07T15:25:00-07:00",
-          "2010-03-07T15:26:00-07:00",
-          "2010-03-07T15:27:00-07:00",
-          "2010-03-07T15:28:00-07:00",
-          "2010-03-07T15:29:00-07:00",
-          "2010-03-07T15:30:00-07:00",
-          "2010-03-07T15:31:00-07:00",
-          "2010-03-07T15:32:00-07:00",
-          "2010-03-07T15:33:00-07:00",
-          "2010-03-07T15:34:00-07:00",
-          "2010-03-07T15:35:00-07:00",
-          "2010-03-07T15:36:00-07:00",
-          "2010-03-07T15:37:00-07:00",
-          "2010-03-07T15:38:00-07:00",
-          "2010-03-07T15:39:00-07:00",
-          "2010-03-07T15:40:00-07:00",
-          "2010-03-07T15:41:00-07:00",
-          "2010-03-07T15:42:00-07:00",
-          "2010-03-07T15:43:00-07:00",
-          "2010-03-07T15:44:00-07:00",
-          "2010-03-07T15:45:00-07:00",
-          "2010-03-07T15:46:00-07:00",
-          "2010-03-07T15:47:00-07:00",
-          "2010-03-07T15:48:00-07:00",
-          "2010-03-07T15:49:00-07:00",
-          "2010-03-07T15:50:00-07:00",
-          "2010-03-07T15:51:00-07:00",
-          "2010-03-07T15:52:00-07:00",
-          "2010-03-07T15:53:00-07:00",
-          "2010-03-07T15:54:00-07:00",
-          "2010-03-07T15:55:00-07:00",
-          "2010-03-07T15:56:00-07:00",
-          "2010-03-07T15:57:00-07:00",
-          "2010-03-07T15:58:00-07:00",
-          "2010-03-07T15:59:00-07:00",
-          "2010-03-07T16:00:00-07:00",
-          "2010-03-07T16:01:00-07:00",
-          "2010-03-07T16:02:00-07:00",
-          "2010-03-07T16:03:00-07:00",
-          "2010-03-07T16:04:00-07:00",
-          "2010-03-07T16:05:00-07:00",
-          "2010-03-07T16:06:00-07:00",
-          "2010-03-07T16:07:00-07:00",
-          "2010-03-07T16:08:00-07:00",
-          "2010-03-07T16:09:00-07:00",
-          "2010-03-07T16:10:00-07:00",
-          "2010-03-07T16:11:00-07:00",
-          "2010-03-07T16:12:00-07:00",
-          "2010-03-07T16:13:00-07:00",
-          "2010-03-07T16:14:00-07:00",
-          "2010-03-07T16:15:00-07:00",
-          "2010-03-07T16:16:00-07:00",
-          "2010-03-07T16:17:00-07:00",
-          "2010-03-07T16:18:00-07:00",
-          "2010-03-07T16:19:00-07:00",
-          "2010-03-07T16:20:00-07:00",
-          "2010-03-07T16:21:00-07:00",
-          "2010-03-07T16:22:00-07:00",
-          "2010-03-07T16:23:00-07:00",
-          "2010-03-07T16:24:00-07:00",
-          "2010-03-07T16:25:00-07:00",
-          "2010-03-07T16:26:00-07:00",
-          "2010-03-07T16:27:00-07:00",
-          "2010-03-07T16:28:00-07:00",
-          "2010-03-07T16:29:00-07:00",
-          "2010-03-07T16:30:00-07:00",
-          "2010-03-07T16:31:00-07:00",
-          "2010-03-07T16:32:00-07:00",
-          "2010-03-07T16:33:00-07:00",
-          "2010-03-07T16:34:00-07:00",
-          "2010-03-07T16:35:00-07:00",
-          "2010-03-07T16:36:00-07:00",
-          "2010-03-07T16:37:00-07:00",
-          "2010-03-07T16:38:00-07:00",
-          "2010-03-07T16:39:00-07:00",
-          "2010-03-07T16:40:00-07:00",
-          "2010-03-07T16:41:00-07:00",
-          "2010-03-07T16:42:00-07:00",
-          "2010-03-07T16:43:00-07:00",
-          "2010-03-07T16:44:00-07:00",
-          "2010-03-07T16:45:00-07:00",
-          "2010-03-07T16:46:00-07:00",
-          "2010-03-07T16:47:00-07:00",
-          "2010-03-07T16:48:00-07:00",
-          "2010-03-07T16:49:00-07:00",
-          "2010-03-07T16:50:00-07:00",
-          "2010-03-07T16:51:00-07:00",
-          "2010-03-07T16:52:00-07:00",
-          "2010-03-07T16:53:00-07:00",
-          "2010-03-07T16:54:00-07:00",
-          "2010-03-07T16:55:00-07:00",
-          "2010-03-07T16:56:00-07:00",
-          "2010-03-07T16:57:00-07:00",
-          "2010-03-07T16:58:00-07:00",
-          "2010-03-07T16:59:00-07:00",
-          "2010-03-07T17:00:00-07:00",
-          "2010-03-07T17:01:00-07:00",
-          "2010-03-07T17:02:00-07:00",
-          "2010-03-07T17:03:00-07:00",
-          "2010-03-07T17:04:00-07:00",
-          "2010-03-07T17:05:00-07:00",
-          "2010-03-07T17:06:00-07:00",
-          "2010-03-07T17:07:00-07:00",
-          "2010-03-07T17:08:00-07:00",
-          "2010-03-07T17:09:00-07:00",
-          "2010-03-07T17:10:00-07:00",
-          "2010-03-07T17:11:00-07:00",
-          "2010-03-07T17:12:00-07:00",
-          "2010-03-07T17:13:00-07:00",
-          "2010-03-07T17:14:00-07:00",
-          "2010-03-07T17:15:00-07:00",
-          "2010-03-07T17:16:00-07:00",
-          "2010-03-07T17:17:00-07:00",
-          "2010-03-07T17:18:00-07:00",
-          "2010-03-07T17:19:00-07:00",
-          "2010-03-07T17:20:00-07:00",
-          "2010-03-07T17:21:00-07:00",
-          "2010-03-07T17:22:00-07:00",
-          "2010-03-07T17:23:00-07:00",
-          "2010-03-07T17:24:00-07:00",
-          "2010-03-07T17:25:00-07:00",
-          "2010-03-07T17:26:00-07:00",
-          "2010-03-07T17:27:00-07:00",
-          "2010-03-07T17:28:00-07:00",
-          "2010-03-07T17:29:00-07:00",
-          "2010-03-07T17:30:00-07:00",
-          "2010-03-07T17:31:00-07:00",
-          "2010-03-07T17:32:00-07:00",
-          "2010-03-07T17:33:00-07:00",
-          "2010-03-07T17:34:00-07:00",
-          "2010-03-07T17:35:00-07:00",
-          "2010-03-07T17:36:00-07:00",
-          "2010-03-07T17:37:00-07:00",
-          "2010-03-07T17:38:00-07:00",
-          "2010-03-07T17:39:00-07:00",
-          "2010-03-07T17:40:00-07:00",
-          "2010-03-07T17:41:00-07:00",
-          "2010-03-07T17:42:00-07:00",
-          "2010-03-07T17:43:00-07:00",
-          "2010-03-07T17:44:00-07:00",
-          "2010-03-07T17:45:00-07:00",
-          "2010-03-07T17:46:00-07:00",
-          "2010-03-07T17:47:00-07:00",
-          "2010-03-07T17:48:00-07:00",
-          "2010-03-07T17:49:00-07:00",
-          "2010-03-07T17:50:00-07:00",
-          "2010-03-07T17:51:00-07:00",
-          "2010-03-07T17:52:00-07:00",
-          "2010-03-07T17:53:00-07:00",
-          "2010-03-07T17:54:00-07:00",
-          "2010-03-07T17:55:00-07:00",
-          "2010-03-07T17:56:00-07:00",
-          "2010-03-07T17:57:00-07:00",
-          "2010-03-07T17:58:00-07:00",
-          "2010-03-07T17:59:00-07:00",
-          "2010-03-07T18:00:00-07:00",
-          "2010-03-07T18:01:00-07:00",
-          "2010-03-07T18:02:00-07:00",
-          "2010-03-07T18:03:00-07:00",
-          "2010-03-07T18:04:00-07:00",
-          "2010-03-07T18:05:00-07:00",
-          "2010-03-07T18:06:00-07:00",
-          "2010-03-07T18:07:00-07:00",
-          "2010-03-07T18:08:00-07:00",
-          "2010-03-07T18:09:00-07:00",
-          "2010-03-07T18:10:00-07:00",
-          "2010-03-07T18:11:00-07:00",
-          "2010-03-07T18:12:00-07:00",
-          "2010-03-07T18:13:00-07:00",
-          "2010-03-07T18:14:00-07:00",
-          "2010-03-07T18:15:00-07:00",
-          "2010-03-07T18:16:00-07:00",
-          "2010-03-07T18:17:00-07:00",
-          "2010-03-07T18:18:00-07:00",
-          "2010-03-07T18:19:00-07:00",
-          "2010-03-07T18:20:00-07:00",
-          "2010-03-07T18:21:00-07:00",
-          "2010-03-07T18:22:00-07:00",
-          "2010-03-07T18:23:00-07:00",
-          "2010-03-07T18:24:00-07:00",
-          "2010-03-07T18:25:00-07:00",
-          "2010-03-07T18:26:00-07:00",
-          "2010-03-07T18:27:00-07:00",
-          "2010-03-07T18:28:00-07:00",
-          "2010-03-07T18:29:00-07:00",
-          "2010-03-07T18:30:00-07:00",
-          "2010-03-07T18:31:00-07:00",
-          "2010-03-07T18:32:00-07:00",
-          "2010-03-07T18:33:00-07:00",
-          "2010-03-07T18:34:00-07:00",
-          "2010-03-07T18:35:00-07:00",
-          "2010-03-07T18:36:00-07:00",
-          "2010-03-07T18:37:00-07:00",
-          "2010-03-07T18:38:00-07:00",
-          "2010-03-07T18:39:00-07:00",
-          "2010-03-07T18:40:00-07:00",
-          "2010-03-07T18:41:00-07:00",
-          "2010-03-07T18:42:00-07:00",
-          "2010-03-07T18:43:00-07:00",
-          "2010-03-07T18:44:00-07:00",
-          "2010-03-07T18:45:00-07:00",
-          "2010-03-07T18:46:00-07:00",
-          "2010-03-07T18:47:00-07:00",
-          "2010-03-07T18:48:00-07:00",
-          "2010-03-07T18:49:00-07:00",
-          "2010-03-07T18:50:00-07:00",
-          "2010-03-07T18:51:00-07:00",
-          "2010-03-07T18:52:00-07:00",
-          "2010-03-07T18:53:00-07:00",
-          "2010-03-07T18:54:00-07:00",
-          "2010-03-07T18:55:00-07:00",
-          "2010-03-07T18:56:00-07:00",
-          "2010-03-07T18:57:00-07:00",
-          "2010-03-07T18:58:00-07:00",
-          "2010-03-07T18:59:00-07:00",
-          "2010-03-07T19:00:00-07:00",
-          "2010-03-07T19:01:00-07:00",
-          "2010-03-07T19:02:00-07:00",
-          "2010-03-07T19:03:00-07:00",
-          "2010-03-07T19:04:00-07:00",
-          "2010-03-07T19:05:00-07:00",
-          "2010-03-07T19:06:00-07:00",
-          "2010-03-07T19:07:00-07:00",
-          "2010-03-07T19:08:00-07:00",
-          "2010-03-07T19:09:00-07:00",
-          "2010-03-07T19:10:00-07:00",
-          "2010-03-07T19:11:00-07:00",
-          "2010-03-07T19:12:00-07:00",
-          "2010-03-07T19:13:00-07:00",
-          "2010-03-07T19:14:00-07:00",
-          "2010-03-07T19:15:00-07:00",
-          "2010-03-07T19:16:00-07:00",
-          "2010-03-07T19:17:00-07:00",
-          "2010-03-07T19:18:00-07:00",
-          "2010-03-07T19:19:00-07:00",
-          "2010-03-07T19:20:00-07:00",
-          "2010-03-07T19:21:00-07:00",
-          "2010-03-07T19:22:00-07:00",
-          "2010-03-07T19:23:00-07:00",
-          "2010-03-07T19:24:00-07:00",
-          "2010-03-07T19:25:00-07:00",
-          "2010-03-07T19:26:00-07:00",
-          "2010-03-07T19:27:00-07:00",
-          "2010-03-07T19:28:00-07:00",
-          "2010-03-07T19:29:00-07:00",
-          "2010-03-07T19:30:00-07:00",
-          "2010-03-07T19:31:00-07:00",
-          "2010-03-07T19:32:00-07:00",
-          "2010-03-07T19:33:00-07:00",
-          "2010-03-07T19:34:00-07:00",
-          "2010-03-07T19:35:00-07:00",
-          "2010-03-07T19:36:00-07:00",
-          "2010-03-07T19:37:00-07:00",
-          "2010-03-07T19:38:00-07:00",
-          "2010-03-07T19:39:00-07:00",
-          "2010-03-07T19:40:00-07:00",
-          "2010-03-07T19:41:00-07:00",
-          "2010-03-07T19:42:00-07:00",
-          "2010-03-07T19:43:00-07:00",
-          "2010-03-07T19:44:00-07:00",
-          "2010-03-07T19:45:00-07:00",
-          "2010-03-07T19:46:00-07:00",
-          "2010-03-07T19:47:00-07:00",
-          "2010-03-07T19:48:00-07:00",
-          "2010-03-07T19:49:00-07:00",
-          "2010-03-07T19:50:00-07:00",
-          "2010-03-07T19:51:00-07:00",
-          "2010-03-07T19:52:00-07:00",
-          "2010-03-07T19:53:00-07:00",
-          "2010-03-07T19:54:00-07:00",
-          "2010-03-07T19:55:00-07:00",
-          "2010-03-07T19:56:00-07:00",
-          "2010-03-07T19:57:00-07:00",
-          "2010-03-07T19:58:00-07:00",
-          "2010-03-07T19:59:00-07:00",
-          "2010-03-07T20:00:00-07:00",
-          "2010-03-07T20:01:00-07:00",
-          "2010-03-07T20:02:00-07:00",
-          "2010-03-07T20:03:00-07:00",
-          "2010-03-07T20:04:00-07:00",
-          "2010-03-07T20:05:00-07:00",
-          "2010-03-07T20:06:00-07:00",
-          "2010-03-07T20:07:00-07:00",
-          "2010-03-07T20:08:00-07:00",
-          "2010-03-07T20:09:00-07:00",
-          "2010-03-07T20:10:00-07:00",
-          "2010-03-07T20:11:00-07:00",
-          "2010-03-07T20:12:00-07:00",
-          "2010-03-07T20:13:00-07:00",
-          "2010-03-07T20:14:00-07:00",
-          "2010-03-07T20:15:00-07:00",
-          "2010-03-07T20:16:00-07:00",
-          "2010-03-07T20:17:00-07:00",
-          "2010-03-07T20:18:00-07:00",
-          "2010-03-07T20:19:00-07:00",
-          "2010-03-07T20:20:00-07:00",
-          "2010-03-07T20:21:00-07:00",
-          "2010-03-07T20:22:00-07:00",
-          "2010-03-07T20:23:00-07:00",
-          "2010-03-07T20:24:00-07:00",
-          "2010-03-07T20:25:00-07:00",
-          "2010-03-07T20:26:00-07:00",
-          "2010-03-07T20:27:00-07:00",
-          "2010-03-07T20:28:00-07:00",
-          "2010-03-07T20:29:00-07:00",
-          "2010-03-07T20:30:00-07:00",
-          "2010-03-07T20:31:00-07:00",
-          "2010-03-07T20:32:00-07:00",
-          "2010-03-07T20:33:00-07:00",
-          "2010-03-07T20:34:00-07:00",
-          "2010-03-07T20:35:00-07:00",
-          "2010-03-07T20:36:00-07:00",
-          "2010-03-07T20:37:00-07:00",
-          "2010-03-07T20:38:00-07:00",
-          "2010-03-07T20:39:00-07:00",
-          "2010-03-07T20:40:00-07:00",
-          "2010-03-07T20:41:00-07:00",
-          "2010-03-07T20:42:00-07:00",
-          "2010-03-07T20:43:00-07:00",
-          "2010-03-07T20:44:00-07:00",
-          "2010-03-07T20:45:00-07:00",
-          "2010-03-07T20:46:00-07:00",
-          "2010-03-07T20:47:00-07:00",
-          "2010-03-07T20:48:00-07:00",
-          "2010-03-07T20:49:00-07:00",
-          "2010-03-07T20:50:00-07:00",
-          "2010-03-07T20:51:00-07:00",
-          "2010-03-07T20:52:00-07:00",
-          "2010-03-07T20:53:00-07:00",
-          "2010-03-07T20:54:00-07:00",
-          "2010-03-07T20:55:00-07:00",
-          "2010-03-07T20:56:00-07:00",
-          "2010-03-07T20:57:00-07:00",
-          "2010-03-07T20:58:00-07:00",
-          "2010-03-07T20:59:00-07:00",
-          "2010-03-07T21:00:00-07:00",
-          "2010-03-07T21:01:00-07:00",
-          "2010-03-07T21:02:00-07:00",
-          "2010-03-07T21:03:00-07:00",
-          "2010-03-07T21:04:00-07:00",
-          "2010-03-07T21:05:00-07:00",
-          "2010-03-07T21:06:00-07:00",
-          "2010-03-07T21:07:00-07:00",
-          "2010-03-07T21:08:00-07:00",
-          "2010-03-07T21:09:00-07:00",
-          "2010-03-07T21:10:00-07:00",
-          "2010-03-07T21:11:00-07:00",
-          "2010-03-07T21:12:00-07:00",
-          "2010-03-07T21:13:00-07:00",
-          "2010-03-07T21:14:00-07:00",
-          "2010-03-07T21:15:00-07:00",
-          "2010-03-07T21:16:00-07:00",
-          "2010-03-07T21:17:00-07:00",
-          "2010-03-07T21:18:00-07:00",
-          "2010-03-07T21:19:00-07:00",
-          "2010-03-07T21:20:00-07:00",
-          "2010-03-07T21:21:00-07:00",
-          "2010-03-07T21:22:00-07:00",
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-          "2010-02-28T12:09:00-07:00",
-          "2010-02-28T12:10:00-07:00",
-          "2010-02-28T12:12:00-07:00",
-          "2010-02-28T12:13:00-07:00",
-          "2010-02-28T12:14:00-07:00",
-          "2010-02-28T12:15:00-07:00",
-          "2010-02-28T12:18:00-07:00",
-          "2010-02-28T12:19:00-07:00",
-          "2010-02-28T12:25:00-07:00",
-          "2010-02-28T12:26:00-07:00",
-          "2010-02-28T12:29:00-07:00",
-          "2010-02-28T12:30:00-07:00",
-          "2010-02-28T12:33:00-07:00",
-          "2010-02-28T12:34:00-07:00",
-          "2010-02-28T12:37:00-07:00",
-          "2010-02-28T12:38:00-07:00",
-          "2010-02-28T12:42:00-07:00",
-          "2010-02-28T12:43:00-07:00",
-          "2010-02-28T12:44:00-07:00",
-          "2010-02-28T12:47:00-07:00",
-          "2010-02-28T12:50:00-07:00",
-          "2010-02-28T12:51:00-07:00",
-          "2010-02-28T12:52:00-07:00",
-          "2010-02-28T12:54:00-07:00",
-          "2010-02-28T12:59:00-07:00",
-          "2010-02-28T13:01:00-07:00",
-          "2010-02-28T13:04:00-07:00",
-          "2010-02-28T13:05:00-07:00",
-          "2010-02-28T13:07:00-07:00",
-          "2010-02-28T13:08:00-07:00",
-          "2010-02-28T13:09:00-07:00",
-          "2010-02-28T13:10:00-07:00",
-          "2010-02-28T13:12:00-07:00",
-          "2010-02-28T13:17:00-07:00",
-          "2010-02-28T13:18:00-07:00",
-          "2010-02-28T13:21:00-07:00",
-          "2010-02-28T13:23:00-07:00",
-          "2010-02-28T13:25:00-07:00",
-          "2010-02-28T13:26:00-07:00",
-          "2010-03-01T10:03:00-07:00",
-          "2010-03-01T10:07:00-07:00",
-          "2010-03-01T10:08:00-07:00",
-          "2010-03-01T10:09:00-07:00",
-          "2010-03-01T10:12:00-07:00",
-          "2010-03-01T10:17:00-07:00",
-          "2010-03-01T10:18:00-07:00",
-          "2010-03-01T10:24:00-07:00",
-          "2010-03-01T10:25:00-07:00",
-          "2010-03-01T10:26:00-07:00",
-          "2010-03-01T10:30:00-07:00",
-          "2010-03-01T10:36:00-07:00",
-          "2010-03-01T10:39:00-07:00",
-          "2010-03-01T10:47:00-07:00",
-          "2010-03-01T10:49:00-07:00",
-          "2010-03-01T10:50:00-07:00",
-          "2010-03-01T10:52:00-07:00",
-          "2010-03-01T10:53:00-07:00",
-          "2010-03-01T10:54:00-07:00",
-          "2010-03-01T10:55:00-07:00",
-          "2010-03-01T10:56:00-07:00",
-          "2010-03-01T10:59:00-07:00",
-          "2010-03-01T11:00:00-07:00",
-          "2010-03-01T11:02:00-07:00",
-          "2010-03-01T11:03:00-07:00",
-          "2010-03-01T11:04:00-07:00",
-          "2010-03-01T11:11:00-07:00",
-          "2010-03-01T11:12:00-07:00",
-          "2010-03-01T11:14:00-07:00",
-          "2010-03-01T11:17:00-07:00",
-          "2010-03-01T11:18:00-07:00",
-          "2010-03-01T11:19:00-07:00",
-          "2010-03-01T11:20:00-07:00",
-          "2010-03-01T11:21:00-07:00",
-          "2010-03-01T11:22:00-07:00",
-          "2010-03-01T11:23:00-07:00",
-          "2010-03-01T11:24:00-07:00",
-          "2010-03-01T11:25:00-07:00",
-          "2010-03-01T11:26:00-07:00",
-          "2010-03-01T11:28:00-07:00",
-          "2010-03-01T11:32:00-07:00",
-          "2010-03-01T11:37:00-07:00",
-          "2010-03-01T11:39:00-07:00",
-          "2010-03-01T11:43:00-07:00",
-          "2010-03-01T11:46:00-07:00",
-          "2010-03-01T11:48:00-07:00",
-          "2010-03-01T11:50:00-07:00",
-          "2010-03-01T11:54:00-07:00",
-          "2010-03-01T11:55:00-07:00",
-          "2010-03-01T11:56:00-07:00",
-          "2010-03-01T11:58:00-07:00",
-          "2010-03-01T11:59:00-07:00",
-          "2010-03-01T12:04:00-07:00",
-          "2010-03-01T12:05:00-07:00",
-          "2010-03-01T12:06:00-07:00",
-          "2010-03-01T12:10:00-07:00",
-          "2010-03-01T12:11:00-07:00",
-          "2010-03-01T12:18:00-07:00",
-          "2010-03-01T12:26:00-07:00",
-          "2010-03-01T12:32:00-07:00",
-          "2010-03-01T12:33:00-07:00",
-          "2010-03-01T12:37:00-07:00",
-          "2010-03-01T12:41:00-07:00",
-          "2010-03-01T12:42:00-07:00",
-          "2010-03-01T12:43:00-07:00",
-          "2010-03-01T12:48:00-07:00",
-          "2010-03-01T12:49:00-07:00",
-          "2010-03-01T12:58:00-07:00",
-          "2010-03-01T12:59:00-07:00",
-          "2010-03-01T13:00:00-07:00",
-          "2010-03-01T13:12:00-07:00",
-          "2010-03-01T13:13:00-07:00",
-          "2010-03-01T13:14:00-07:00",
-          "2010-03-01T13:17:00-07:00",
-          "2010-03-01T13:18:00-07:00",
-          "2010-03-01T13:24:00-07:00",
-          "2010-03-01T13:25:00-07:00",
-          "2010-03-01T13:29:00-07:00",
-          "2010-03-01T13:32:00-07:00",
-          "2010-03-01T13:36:00-07:00",
-          "2010-03-01T13:37:00-07:00",
-          "2010-03-01T13:38:00-07:00",
-          "2010-03-01T13:40:00-07:00",
-          "2010-03-01T13:45:00-07:00",
-          "2010-03-01T13:47:00-07:00",
-          "2010-03-01T13:49:00-07:00",
-          "2010-03-01T13:50:00-07:00",
-          "2010-03-01T13:52:00-07:00",
-          "2010-03-01T14:39:00-07:00",
-          "2010-03-01T14:40:00-07:00",
-          "2010-03-02T10:03:00-07:00",
-          "2010-03-02T10:06:00-07:00",
-          "2010-03-02T10:14:00-07:00",
-          "2010-03-02T10:15:00-07:00",
-          "2010-03-02T10:16:00-07:00",
-          "2010-03-02T10:26:00-07:00",
-          "2010-03-02T10:27:00-07:00",
-          "2010-03-02T10:28:00-07:00",
-          "2010-03-02T10:31:00-07:00",
-          "2010-03-02T10:35:00-07:00",
-          "2010-03-02T10:38:00-07:00",
-          "2010-03-02T10:39:00-07:00",
-          "2010-03-02T10:40:00-07:00",
-          "2010-03-02T10:44:00-07:00",
-          "2010-03-02T10:47:00-07:00",
-          "2010-03-02T10:50:00-07:00",
-          "2010-03-02T10:51:00-07:00",
-          "2010-03-02T10:54:00-07:00",
-          "2010-03-02T11:02:00-07:00",
-          "2010-03-02T11:03:00-07:00",
-          "2010-03-02T11:06:00-07:00",
-          "2010-03-02T11:09:00-07:00",
-          "2010-03-02T11:10:00-07:00",
-          "2010-03-02T11:13:00-07:00",
-          "2010-03-02T11:17:00-07:00",
-          "2010-03-02T11:18:00-07:00",
-          "2010-03-02T11:19:00-07:00",
-          "2010-03-02T11:20:00-07:00",
-          "2010-03-02T11:22:00-07:00",
-          "2010-03-02T11:25:00-07:00",
-          "2010-03-02T11:26:00-07:00",
-          "2010-03-02T11:27:00-07:00",
-          "2010-03-02T11:29:00-07:00",
-          "2010-03-02T11:31:00-07:00",
-          "2010-03-02T11:33:00-07:00",
-          "2010-03-02T11:34:00-07:00",
-          "2010-03-02T11:35:00-07:00",
-          "2010-03-02T11:37:00-07:00",
-          "2010-03-02T11:38:00-07:00",
-          "2010-03-02T11:39:00-07:00",
-          "2010-03-02T11:42:00-07:00",
-          "2010-03-02T11:43:00-07:00",
-          "2010-03-02T11:44:00-07:00",
-          "2010-03-02T11:46:00-07:00",
-          "2010-03-02T11:49:00-07:00",
-          "2010-03-02T11:50:00-07:00",
-          "2010-03-02T11:51:00-07:00",
-          "2010-03-02T11:52:00-07:00",
-          "2010-03-02T11:53:00-07:00",
-          "2010-03-02T11:54:00-07:00",
-          "2010-03-02T11:58:00-07:00",
-          "2010-03-02T11:59:00-07:00",
-          "2010-03-02T12:00:00-07:00",
-          "2010-03-02T12:01:00-07:00",
-          "2010-03-02T12:02:00-07:00",
-          "2010-03-02T12:03:00-07:00",
-          "2010-03-02T12:04:00-07:00",
-          "2010-03-02T12:08:00-07:00",
-          "2010-03-02T12:11:00-07:00",
-          "2010-03-02T12:12:00-07:00",
-          "2010-03-02T12:13:00-07:00",
-          "2010-03-02T12:14:00-07:00",
-          "2010-03-02T12:16:00-07:00",
-          "2010-03-02T12:18:00-07:00",
-          "2010-03-02T12:22:00-07:00",
-          "2010-03-02T12:23:00-07:00",
-          "2010-03-02T12:32:00-07:00",
-          "2010-03-02T12:43:00-07:00",
-          "2010-03-02T12:46:00-07:00",
-          "2010-03-02T12:48:00-07:00",
-          "2010-03-02T12:49:00-07:00",
-          "2010-03-02T12:50:00-07:00",
-          "2010-03-02T12:52:00-07:00",
-          "2010-03-02T12:56:00-07:00",
-          "2010-03-02T12:57:00-07:00",
-          "2010-03-02T12:58:00-07:00",
-          "2010-03-02T13:01:00-07:00",
-          "2010-03-02T13:02:00-07:00",
-          "2010-03-02T13:05:00-07:00",
-          "2010-03-02T13:06:00-07:00",
-          "2010-03-02T13:08:00-07:00",
-          "2010-03-02T13:09:00-07:00",
-          "2010-03-02T13:10:00-07:00",
-          "2010-03-02T13:11:00-07:00",
-          "2010-03-02T13:15:00-07:00",
-          "2010-03-02T13:17:00-07:00",
-          "2010-03-02T13:18:00-07:00",
-          "2010-03-02T13:21:00-07:00",
-          "2010-03-02T13:22:00-07:00",
-          "2010-03-02T13:25:00-07:00",
-          "2010-03-02T13:28:00-07:00",
-          "2010-03-02T13:29:00-07:00",
-          "2010-03-02T13:31:00-07:00",
-          "2010-03-02T13:32:00-07:00",
-          "2010-03-02T13:33:00-07:00",
-          "2010-03-02T13:35:00-07:00",
-          "2010-03-02T13:41:00-07:00",
-          "2010-03-02T13:44:00-07:00",
-          "2010-03-02T13:45:00-07:00",
-          "2010-03-02T13:48:00-07:00",
-          "2010-03-02T13:49:00-07:00",
-          "2010-03-02T13:51:00-07:00",
-          "2010-03-02T13:53:00-07:00",
-          "2010-03-02T13:56:00-07:00",
-          "2010-03-02T13:57:00-07:00",
-          "2010-03-02T14:01:00-07:00",
-          "2010-03-02T14:02:00-07:00",
-          "2010-03-02T14:04:00-07:00",
-          "2010-03-02T14:07:00-07:00",
-          "2010-03-02T16:27:00-07:00",
-          "2010-03-03T10:07:00-07:00",
-          "2010-03-03T10:11:00-07:00",
-          "2010-03-03T10:18:00-07:00",
-          "2010-03-03T10:19:00-07:00",
-          "2010-03-03T10:39:00-07:00",
-          "2010-03-03T10:42:00-07:00",
-          "2010-03-03T10:48:00-07:00",
-          "2010-03-03T10:49:00-07:00",
-          "2010-03-03T10:50:00-07:00",
-          "2010-03-03T10:51:00-07:00",
-          "2010-03-03T10:53:00-07:00",
-          "2010-03-03T10:55:00-07:00",
-          "2010-03-03T11:06:00-07:00",
-          "2010-03-03T11:08:00-07:00",
-          "2010-03-03T11:20:00-07:00",
-          "2010-03-03T11:26:00-07:00",
-          "2010-03-03T11:29:00-07:00",
-          "2010-03-03T11:31:00-07:00",
-          "2010-03-03T11:35:00-07:00",
-          "2010-03-03T11:37:00-07:00",
-          "2010-03-03T11:41:00-07:00",
-          "2010-03-03T11:42:00-07:00",
-          "2010-03-03T11:44:00-07:00",
-          "2010-03-03T11:47:00-07:00",
-          "2010-03-03T11:49:00-07:00",
-          "2010-03-03T11:50:00-07:00",
-          "2010-03-03T11:52:00-07:00",
-          "2010-03-03T11:53:00-07:00",
-          "2010-03-03T11:54:00-07:00",
-          "2010-03-03T11:57:00-07:00",
-          "2010-03-03T11:58:00-07:00",
-          "2010-03-03T12:00:00-07:00",
-          "2010-03-03T12:05:00-07:00",
-          "2010-03-03T12:10:00-07:00",
-          "2010-03-03T12:11:00-07:00",
-          "2010-03-03T12:14:00-07:00",
-          "2010-03-03T12:15:00-07:00",
-          "2010-03-03T12:22:00-07:00",
-          "2010-03-03T12:23:00-07:00",
-          "2010-03-03T12:25:00-07:00",
-          "2010-03-03T12:27:00-07:00",
-          "2010-03-03T12:29:00-07:00",
-          "2010-03-03T12:31:00-07:00",
-          "2010-03-03T12:33:00-07:00",
-          "2010-03-03T12:36:00-07:00",
-          "2010-03-03T12:37:00-07:00",
-          "2010-03-03T12:40:00-07:00",
-          "2010-03-03T12:41:00-07:00",
-          "2010-03-03T12:42:00-07:00",
-          "2010-03-03T12:43:00-07:00",
-          "2010-03-03T12:44:00-07:00",
-          "2010-03-03T12:45:00-07:00",
-          "2010-03-03T12:47:00-07:00",
-          "2010-03-03T12:48:00-07:00",
-          "2010-03-03T12:51:00-07:00",
-          "2010-03-03T12:57:00-07:00",
-          "2010-03-03T12:58:00-07:00",
-          "2010-03-03T13:00:00-07:00",
-          "2010-03-03T13:08:00-07:00",
-          "2010-03-03T13:09:00-07:00",
-          "2010-03-03T13:10:00-07:00",
-          "2010-03-03T13:11:00-07:00",
-          "2010-03-03T13:12:00-07:00",
-          "2010-03-03T13:15:00-07:00",
-          "2010-03-03T13:21:00-07:00",
-          "2010-03-03T13:24:00-07:00",
-          "2010-03-03T13:28:00-07:00",
-          "2010-03-03T13:35:00-07:00",
-          "2010-03-03T13:41:00-07:00",
-          "2010-03-03T13:46:00-07:00",
-          "2010-03-03T13:48:00-07:00",
-          "2010-03-03T13:52:00-07:00",
-          "2010-03-03T13:53:00-07:00",
-          "2010-03-04T12:35:00-07:00",
-          "2010-03-04T12:40:00-07:00",
-          "2010-03-04T12:41:00-07:00",
-          "2010-03-04T12:45:00-07:00",
-          "2010-03-04T12:50:00-07:00",
-          "2010-03-04T12:56:00-07:00",
-          "2010-03-04T13:12:00-07:00",
-          "2010-03-04T13:38:00-07:00",
-          "2010-03-04T13:40:00-07:00",
-          "2010-03-04T13:52:00-07:00",
-          "2010-03-04T13:54:00-07:00",
-          "2010-03-04T13:55:00-07:00",
-          "2010-03-05T09:52:00-07:00",
-          "2010-03-05T09:54:00-07:00",
-          "2010-03-05T09:58:00-07:00",
-          "2010-03-05T10:01:00-07:00",
-          "2010-03-05T10:04:00-07:00",
-          "2010-03-05T10:05:00-07:00",
-          "2010-03-05T10:06:00-07:00",
-          "2010-03-05T10:36:00-07:00",
-          "2010-03-05T12:58:00-07:00",
-          "2010-03-05T12:59:00-07:00",
-          "2010-03-05T13:04:00-07:00",
-          "2010-03-05T13:07:00-07:00",
-          "2010-03-05T13:08:00-07:00",
-          "2010-03-05T13:10:00-07:00",
-          "2010-03-05T13:12:00-07:00",
-          "2010-03-05T13:19:00-07:00",
-          "2010-03-05T13:22:00-07:00",
-          "2010-03-05T13:23:00-07:00",
-          "2010-03-05T13:25:00-07:00",
-          "2010-03-05T13:26:00-07:00",
-          "2010-03-05T13:27:00-07:00",
-          "2010-03-05T13:30:00-07:00",
-          "2010-03-05T13:31:00-07:00",
-          "2010-03-05T13:32:00-07:00",
-          "2010-03-05T13:34:00-07:00",
-          "2010-03-05T13:35:00-07:00",
-          "2010-03-05T13:38:00-07:00",
-          "2010-03-05T14:28:00-07:00",
-          "2010-03-05T14:30:00-07:00",
-          "2010-03-05T14:32:00-07:00",
-          "2010-03-05T14:34:00-07:00",
-          "2010-03-06T10:02:00-07:00",
-          "2010-03-06T10:04:00-07:00",
-          "2010-03-06T10:05:00-07:00",
-          "2010-03-06T10:07:00-07:00",
-          "2010-03-06T10:09:00-07:00",
-          "2010-03-06T10:10:00-07:00",
-          "2010-03-06T10:11:00-07:00",
-          "2010-03-06T10:12:00-07:00",
-          "2010-03-06T10:13:00-07:00",
-          "2010-03-06T10:14:00-07:00",
-          "2010-03-06T10:15:00-07:00",
-          "2010-03-06T10:16:00-07:00",
-          "2010-03-06T10:17:00-07:00",
-          "2010-03-06T10:18:00-07:00",
-          "2010-03-06T10:19:00-07:00",
-          "2010-03-06T10:20:00-07:00",
-          "2010-03-06T10:21:00-07:00",
-          "2010-03-06T10:22:00-07:00",
-          "2010-03-06T10:23:00-07:00",
-          "2010-03-06T10:24:00-07:00",
-          "2010-03-06T10:25:00-07:00",
-          "2010-03-06T10:26:00-07:00",
-          "2010-03-06T10:27:00-07:00",
-          "2010-03-06T10:28:00-07:00",
-          "2010-03-06T10:29:00-07:00",
-          "2010-03-06T10:30:00-07:00",
-          "2010-03-06T10:31:00-07:00",
-          "2010-03-06T10:32:00-07:00",
-          "2010-03-06T10:33:00-07:00",
-          "2010-03-06T10:34:00-07:00",
-          "2010-03-06T10:35:00-07:00",
-          "2010-03-06T10:36:00-07:00",
-          "2010-03-06T10:37:00-07:00",
-          "2010-03-06T10:38:00-07:00",
-          "2010-03-06T10:39:00-07:00",
-          "2010-03-06T10:40:00-07:00",
-          "2010-03-06T10:41:00-07:00",
-          "2010-03-06T10:42:00-07:00",
-          "2010-03-06T10:43:00-07:00",
-          "2010-03-06T10:44:00-07:00",
-          "2010-03-06T10:45:00-07:00",
-          "2010-03-06T10:46:00-07:00",
-          "2010-03-06T10:47:00-07:00",
-          "2010-03-06T10:48:00-07:00",
-          "2010-03-06T10:49:00-07:00",
-          "2010-03-06T10:50:00-07:00",
-          "2010-03-06T10:51:00-07:00",
-          "2010-03-06T10:52:00-07:00",
-          "2010-03-06T10:53:00-07:00",
-          "2010-03-06T10:54:00-07:00",
-          "2010-03-06T10:55:00-07:00",
-          "2010-03-06T10:56:00-07:00",
-          "2010-03-06T10:57:00-07:00",
-          "2010-03-06T10:58:00-07:00",
-          "2010-03-06T10:59:00-07:00",
-          "2010-03-06T11:00:00-07:00",
-          "2010-03-06T11:01:00-07:00",
-          "2010-03-06T11:02:00-07:00",
-          "2010-03-06T11:03:00-07:00",
-          "2010-03-06T11:04:00-07:00",
-          "2010-03-06T11:05:00-07:00",
-          "2010-03-06T11:06:00-07:00",
-          "2010-03-06T11:07:00-07:00",
-          "2010-03-06T11:08:00-07:00",
-          "2010-03-06T11:09:00-07:00",
-          "2010-03-06T11:10:00-07:00",
-          "2010-03-06T11:11:00-07:00",
-          "2010-03-06T11:12:00-07:00",
-          "2010-03-06T11:13:00-07:00",
-          "2010-03-06T11:14:00-07:00",
-          "2010-03-06T11:15:00-07:00",
-          "2010-03-06T11:16:00-07:00",
-          "2010-03-06T11:17:00-07:00",
-          "2010-03-06T11:18:00-07:00",
-          "2010-03-06T11:19:00-07:00",
-          "2010-03-06T11:20:00-07:00",
-          "2010-03-06T11:21:00-07:00",
-          "2010-03-06T11:22:00-07:00",
-          "2010-03-06T11:23:00-07:00",
-          "2010-03-06T11:24:00-07:00",
-          "2010-03-06T11:25:00-07:00",
-          "2010-03-06T11:26:00-07:00",
-          "2010-03-06T11:27:00-07:00",
-          "2010-03-06T11:28:00-07:00",
-          "2010-03-06T11:29:00-07:00",
-          "2010-03-06T11:30:00-07:00",
-          "2010-03-06T11:31:00-07:00",
-          "2010-03-06T11:32:00-07:00",
-          "2010-03-06T11:33:00-07:00",
-          "2010-03-06T11:34:00-07:00",
-          "2010-03-06T11:35:00-07:00",
-          "2010-03-06T11:36:00-07:00",
-          "2010-03-06T11:37:00-07:00",
-          "2010-03-06T11:38:00-07:00",
-          "2010-03-06T11:39:00-07:00",
-          "2010-03-06T11:40:00-07:00",
-          "2010-03-06T11:41:00-07:00",
-          "2010-03-06T11:42:00-07:00",
-          "2010-03-06T11:43:00-07:00",
-          "2010-03-06T11:44:00-07:00",
-          "2010-03-06T11:45:00-07:00",
-          "2010-03-06T11:46:00-07:00",
-          "2010-03-06T11:47:00-07:00",
-          "2010-03-06T11:48:00-07:00",
-          "2010-03-06T11:49:00-07:00",
-          "2010-03-06T11:50:00-07:00",
-          "2010-03-06T11:51:00-07:00",
-          "2010-03-06T11:52:00-07:00",
-          "2010-03-06T11:53:00-07:00",
-          "2010-03-06T11:54:00-07:00",
-          "2010-03-06T11:55:00-07:00",
-          "2010-03-06T11:56:00-07:00",
-          "2010-03-06T11:57:00-07:00",
-          "2010-03-06T11:58:00-07:00",
-          "2010-03-06T11:59:00-07:00",
-          "2010-03-06T12:00:00-07:00",
-          "2010-03-06T12:01:00-07:00",
-          "2010-03-06T12:02:00-07:00",
-          "2010-03-06T12:03:00-07:00",
-          "2010-03-06T12:04:00-07:00",
-          "2010-03-06T12:05:00-07:00",
-          "2010-03-06T12:06:00-07:00",
-          "2010-03-06T12:07:00-07:00",
-          "2010-03-06T12:08:00-07:00",
-          "2010-03-06T12:09:00-07:00",
-          "2010-03-06T12:10:00-07:00",
-          "2010-03-06T12:11:00-07:00",
-          "2010-03-06T12:12:00-07:00",
-          "2010-03-06T12:13:00-07:00",
-          "2010-03-06T12:14:00-07:00",
-          "2010-03-06T12:15:00-07:00",
-          "2010-03-06T12:16:00-07:00",
-          "2010-03-06T12:17:00-07:00",
-          "2010-03-06T12:18:00-07:00",
-          "2010-03-06T12:19:00-07:00",
-          "2010-03-06T12:20:00-07:00",
-          "2010-03-06T12:21:00-07:00",
-          "2010-03-06T12:22:00-07:00",
-          "2010-03-06T12:23:00-07:00",
-          "2010-03-06T12:24:00-07:00",
-          "2010-03-06T12:25:00-07:00",
-          "2010-03-06T12:26:00-07:00",
-          "2010-03-06T12:27:00-07:00",
-          "2010-03-06T12:28:00-07:00",
-          "2010-03-06T12:29:00-07:00",
-          "2010-03-06T12:30:00-07:00",
-          "2010-03-06T12:31:00-07:00",
-          "2010-03-06T12:32:00-07:00",
-          "2010-03-06T12:33:00-07:00",
-          "2010-03-06T12:34:00-07:00",
-          "2010-03-06T12:35:00-07:00",
-          "2010-03-06T12:36:00-07:00",
-          "2010-03-06T12:37:00-07:00",
-          "2010-03-06T12:38:00-07:00",
-          "2010-03-06T12:39:00-07:00",
-          "2010-03-06T12:40:00-07:00",
-          "2010-03-06T12:41:00-07:00",
-          "2010-03-06T12:42:00-07:00",
-          "2010-03-06T12:43:00-07:00",
-          "2010-03-06T12:44:00-07:00",
-          "2010-03-06T12:45:00-07:00",
-          "2010-03-06T12:46:00-07:00",
-          "2010-03-06T12:47:00-07:00",
-          "2010-03-06T12:48:00-07:00",
-          "2010-03-06T12:49:00-07:00",
-          "2010-03-06T12:50:00-07:00",
-          "2010-03-06T12:51:00-07:00",
-          "2010-03-06T12:52:00-07:00",
-          "2010-03-06T12:53:00-07:00",
-          "2010-03-06T12:54:00-07:00",
-          "2010-03-06T12:55:00-07:00",
-          "2010-03-06T12:56:00-07:00",
-          "2010-03-06T12:57:00-07:00",
-          "2010-03-06T12:58:00-07:00",
-          "2010-03-06T12:59:00-07:00",
-          "2010-03-06T13:00:00-07:00",
-          "2010-03-06T13:01:00-07:00",
-          "2010-03-06T13:02:00-07:00",
-          "2010-03-06T13:03:00-07:00",
-          "2010-03-06T13:04:00-07:00",
-          "2010-03-06T13:05:00-07:00",
-          "2010-03-06T13:06:00-07:00",
-          "2010-03-06T13:07:00-07:00",
-          "2010-03-06T13:08:00-07:00",
-          "2010-03-06T13:09:00-07:00",
-          "2010-03-06T13:10:00-07:00",
-          "2010-03-06T13:11:00-07:00",
-          "2010-03-06T13:12:00-07:00",
-          "2010-03-06T13:13:00-07:00",
-          "2010-03-06T13:14:00-07:00",
-          "2010-03-06T13:15:00-07:00",
-          "2010-03-06T13:16:00-07:00",
-          "2010-03-06T13:17:00-07:00",
-          "2010-03-06T13:18:00-07:00",
-          "2010-03-06T13:19:00-07:00",
-          "2010-03-06T13:20:00-07:00",
-          "2010-03-06T13:21:00-07:00",
-          "2010-03-06T13:22:00-07:00",
-          "2010-03-06T13:23:00-07:00",
-          "2010-03-06T13:24:00-07:00",
-          "2010-03-06T13:25:00-07:00",
-          "2010-03-06T13:26:00-07:00",
-          "2010-03-06T13:27:00-07:00",
-          "2010-03-06T13:28:00-07:00",
-          "2010-03-06T13:29:00-07:00",
-          "2010-03-06T13:30:00-07:00",
-          "2010-03-07T09:29:00-07:00",
-          "2010-03-07T09:31:00-07:00",
-          "2010-03-07T09:47:00-07:00",
-          "2010-03-07T09:48:00-07:00",
-          "2010-03-07T09:49:00-07:00",
-          "2010-03-07T09:50:00-07:00",
-          "2010-03-07T09:51:00-07:00",
-          "2010-03-07T09:52:00-07:00",
-          "2010-03-07T09:53:00-07:00",
-          "2010-03-07T09:54:00-07:00",
-          "2010-03-07T09:55:00-07:00",
-          "2010-03-07T09:56:00-07:00",
-          "2010-03-07T09:57:00-07:00",
-          "2010-03-07T09:58:00-07:00",
-          "2010-03-07T09:59:00-07:00",
-          "2010-03-07T10:00:00-07:00",
-          "2010-03-07T10:01:00-07:00",
-          "2010-03-07T10:02:00-07:00",
-          "2010-03-07T10:03:00-07:00",
-          "2010-03-07T10:06:00-07:00",
-          "2010-03-07T10:09:00-07:00",
-          "2010-03-07T10:10:00-07:00",
-          "2010-03-07T10:11:00-07:00",
-          "2010-03-07T10:12:00-07:00",
-          "2010-03-07T10:13:00-07:00",
-          "2010-03-07T10:14:00-07:00",
-          "2010-03-07T10:15:00-07:00",
-          "2010-03-07T10:16:00-07:00",
-          "2010-03-07T10:17:00-07:00",
-          "2010-03-07T10:18:00-07:00",
-          "2010-03-07T10:19:00-07:00",
-          "2010-03-07T10:20:00-07:00",
-          "2010-03-07T10:21:00-07:00",
-          "2010-03-07T10:22:00-07:00",
-          "2010-03-07T10:23:00-07:00",
-          "2010-03-07T10:24:00-07:00",
-          "2010-03-07T10:25:00-07:00",
-          "2010-03-07T10:26:00-07:00",
-          "2010-03-07T10:27:00-07:00",
-          "2010-03-07T10:28:00-07:00",
-          "2010-03-07T10:32:00-07:00",
-          "2010-03-07T10:33:00-07:00",
-          "2010-03-07T10:34:00-07:00",
-          "2010-03-07T10:35:00-07:00",
-          "2010-03-07T10:36:00-07:00",
-          "2010-03-07T10:37:00-07:00",
-          "2010-03-07T10:38:00-07:00",
-          "2010-03-07T10:39:00-07:00",
-          "2010-03-07T10:40:00-07:00",
-          "2010-03-07T10:41:00-07:00",
-          "2010-03-07T10:46:00-07:00",
-          "2010-03-07T10:47:00-07:00",
-          "2010-03-07T10:48:00-07:00",
-          "2010-03-07T10:49:00-07:00",
-          "2010-03-07T10:50:00-07:00",
-          "2010-03-07T10:51:00-07:00",
-          "2010-03-07T10:55:00-07:00",
-          "2010-03-07T10:57:00-07:00",
-          "2010-03-07T10:58:00-07:00",
-          "2010-03-07T11:00:00-07:00",
-          "2010-03-07T11:01:00-07:00",
-          "2010-03-07T11:02:00-07:00",
-          "2010-03-07T11:03:00-07:00",
-          "2010-03-07T11:04:00-07:00",
-          "2010-03-07T11:05:00-07:00",
-          "2010-03-07T11:06:00-07:00",
-          "2010-03-07T11:07:00-07:00",
-          "2010-03-07T11:08:00-07:00",
-          "2010-03-07T11:09:00-07:00",
-          "2010-03-07T11:10:00-07:00",
-          "2010-03-07T11:11:00-07:00",
-          "2010-03-07T11:12:00-07:00",
-          "2010-03-07T11:13:00-07:00",
-          "2010-03-07T11:14:00-07:00",
-          "2010-03-07T11:15:00-07:00",
-          "2010-03-07T11:16:00-07:00",
-          "2010-03-07T11:17:00-07:00",
-          "2010-03-07T11:18:00-07:00",
-          "2010-03-07T11:19:00-07:00",
-          "2010-03-07T11:20:00-07:00",
-          "2010-03-07T11:21:00-07:00",
-          "2010-03-07T11:22:00-07:00",
-          "2010-03-07T11:23:00-07:00",
-          "2010-03-07T11:24:00-07:00",
-          "2010-03-07T11:25:00-07:00",
-          "2010-03-07T11:26:00-07:00",
-          "2010-03-07T11:27:00-07:00",
-          "2010-03-07T11:28:00-07:00",
-          "2010-03-07T11:29:00-07:00",
-          "2010-03-07T11:30:00-07:00",
-          "2010-03-07T11:31:00-07:00",
-          "2010-03-07T11:32:00-07:00",
-          "2010-03-07T11:33:00-07:00",
-          "2010-03-07T11:34:00-07:00",
-          "2010-03-07T11:35:00-07:00",
-          "2010-03-07T11:36:00-07:00",
-          "2010-03-07T11:37:00-07:00",
-          "2010-03-07T11:38:00-07:00",
-          "2010-03-07T11:39:00-07:00",
-          "2010-03-07T11:40:00-07:00",
-          "2010-03-07T11:41:00-07:00",
-          "2010-03-07T11:42:00-07:00",
-          "2010-03-07T11:43:00-07:00",
-          "2010-03-07T11:44:00-07:00",
-          "2010-03-07T11:45:00-07:00",
-          "2010-03-07T11:46:00-07:00",
-          "2010-03-07T11:47:00-07:00",
-          "2010-03-07T11:48:00-07:00",
-          "2010-03-07T11:49:00-07:00",
-          "2010-03-07T11:50:00-07:00",
-          "2010-03-07T11:54:00-07:00",
-          "2010-03-07T11:55:00-07:00",
-          "2010-03-07T11:56:00-07:00",
-          "2010-03-07T11:57:00-07:00",
-          "2010-03-07T11:58:00-07:00",
-          "2010-03-07T11:59:00-07:00",
-          "2010-03-07T12:00:00-07:00",
-          "2010-03-07T12:01:00-07:00",
-          "2010-03-07T12:02:00-07:00",
-          "2010-03-07T12:03:00-07:00",
-          "2010-03-07T12:04:00-07:00",
-          "2010-03-07T12:05:00-07:00",
-          "2010-03-07T12:06:00-07:00",
-          "2010-03-07T12:07:00-07:00",
-          "2010-03-07T12:08:00-07:00",
-          "2010-03-07T12:09:00-07:00",
-          "2010-03-07T12:10:00-07:00",
-          "2010-03-07T12:11:00-07:00",
-          "2010-03-07T12:12:00-07:00",
-          "2010-03-07T12:13:00-07:00",
-          "2010-03-07T12:14:00-07:00",
-          "2010-03-07T12:15:00-07:00",
-          "2010-03-07T12:16:00-07:00",
-          "2010-03-07T12:17:00-07:00",
-          "2010-03-07T12:18:00-07:00",
-          "2010-03-07T12:19:00-07:00",
-          "2010-03-07T12:20:00-07:00",
-          "2010-03-07T12:21:00-07:00",
-          "2010-03-07T12:22:00-07:00",
-          "2010-03-07T12:23:00-07:00",
-          "2010-03-07T12:24:00-07:00",
-          "2010-03-07T12:27:00-07:00",
-          "2010-03-07T12:28:00-07:00",
-          "2010-03-07T12:29:00-07:00",
-          "2010-03-07T12:32:00-07:00",
-          "2010-03-07T12:33:00-07:00",
-          "2010-03-07T12:34:00-07:00",
-          "2010-03-07T12:35:00-07:00",
-          "2010-03-07T12:36:00-07:00",
-          "2010-03-07T12:37:00-07:00",
-          "2010-03-07T12:38:00-07:00",
-          "2010-03-07T12:39:00-07:00",
-          "2010-03-07T12:40:00-07:00",
-          "2010-03-07T12:41:00-07:00",
-          "2010-03-07T12:42:00-07:00",
-          "2010-03-07T12:43:00-07:00",
-          "2010-03-07T12:44:00-07:00",
-          "2010-03-07T12:45:00-07:00",
-          "2010-03-07T12:46:00-07:00",
-          "2010-03-07T12:47:00-07:00",
-          "2010-03-07T12:48:00-07:00",
-          "2010-03-07T12:49:00-07:00",
-          "2010-03-07T12:50:00-07:00",
-          "2010-03-07T12:51:00-07:00",
-          "2010-03-07T12:52:00-07:00",
-          "2010-03-07T12:53:00-07:00",
-          "2010-03-07T12:54:00-07:00",
-          "2010-03-07T12:55:00-07:00",
-          "2010-03-07T12:56:00-07:00",
-          "2010-03-07T12:57:00-07:00",
-          "2010-03-07T12:58:00-07:00",
-          "2010-03-07T12:59:00-07:00",
-          "2010-03-07T13:00:00-07:00",
-          "2010-03-07T13:01:00-07:00",
-          "2010-03-07T13:02:00-07:00",
-          "2010-03-07T13:03:00-07:00",
-          "2010-03-07T13:04:00-07:00",
-          "2010-03-07T13:05:00-07:00",
-          "2010-03-07T13:06:00-07:00",
-          "2010-03-07T13:07:00-07:00",
-          "2010-03-07T13:08:00-07:00",
-          "2010-03-07T13:09:00-07:00",
-          "2010-03-07T13:10:00-07:00",
-          "2010-03-07T13:11:00-07:00",
-          "2010-03-07T13:12:00-07:00",
-          "2010-03-07T13:13:00-07:00",
-          "2010-03-07T13:14:00-07:00",
-          "2010-03-07T13:19:00-07:00",
-          "2010-03-07T13:20:00-07:00",
-          "2010-03-07T13:21:00-07:00",
-          "2010-03-07T13:22:00-07:00",
-          "2010-03-07T13:23:00-07:00",
-          "2010-03-07T13:24:00-07:00",
-          "2010-03-07T13:25:00-07:00",
-          "2010-03-07T13:26:00-07:00",
-          "2010-03-07T13:27:00-07:00",
-          "2010-03-07T13:28:00-07:00",
-          "2010-03-07T13:29:00-07:00",
-          "2010-03-07T13:30:00-07:00",
-          "2010-03-07T13:31:00-07:00",
-          "2010-03-07T13:32:00-07:00",
-          "2010-03-07T13:36:00-07:00",
-          "2010-03-07T13:37:00-07:00",
-          "2010-03-07T13:38:00-07:00",
-          "2010-03-07T13:40:00-07:00",
-          "2010-03-07T13:41:00-07:00",
-          "2010-03-07T13:42:00-07:00",
-          "2010-03-07T13:43:00-07:00",
-          "2010-03-07T13:44:00-07:00",
-          "2010-03-07T13:45:00-07:00",
-          "2010-03-07T13:46:00-07:00",
-          "2010-03-07T13:47:00-07:00",
-          "2010-03-07T13:48:00-07:00",
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\"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"datetime\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"ac_power\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
-       "                            \n",
-       "var gd = document.getElementById('cd2c712e-aaa1-47e6-a9e4-d3ef5031cdca');\n",
-       "var x = new MutationObserver(function (mutations, observer) {{\n",
-       "        var display = window.getComputedStyle(gd).display;\n",
-       "        if (!display || display === 'none') {{\n",
-       "            console.log([gd, 'removed!']);\n",
-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
-       "        }}\n",
-       "}});\n",
-       "\n",
-       "// Listen for the removal of the full notebook cells\n",
-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "                        })                };                });            </script>        </div>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# NBVAL_IGNORE_OUTPUT\n",
-    "rdtools.tune_filter_plot(example_subset['ac_power'], clip_mask_logic)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 3: Aggregate\n",
-    "\n",
-    "Data is aggregated with an irradiance weighted average. This can be useful, for example with daily aggregation, to reduce the impact of high-error data points in the morning and evening."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "daily = rdtools.aggregation_insol(filtered.normalized, filtered.insolation,\n",
-    "                                  frequency = 'D')\n",
-    "\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.plot(daily.index, daily, 'o', alpha = 0.1)\n",
-    "ax.set_ylim(0,2)\n",
-    "fig.autofmt_xdate()\n",
-    "ax.set_ylabel('Normalized energy');"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 4: Degradation calculation\n",
-    "\n",
-    "Data is then analyzed to estimate the degradation rate representing the PV system behavior. The results are visualized and statistics are reported, including the 68.2% confidence interval, and the P95 exceedance value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "tags": [
-     "nbsphinx-thumbnail"
-    ]
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Calculate the degradation rate using the YoY method\n",
-    "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily, confidence_level=68.2)\n",
-    "# Note the default confidence_level of 68.2 is appropriate if you would like to \n",
-    "# report a confidence interval analogous to the standard deviation of a normal\n",
-    "# distribution. The size of the confidence interval is adjustable by setting the\n",
-    "# confidence_level variable.\n",
-    "\n",
-    "# Visualize the results\n",
-    "\n",
-    "degradation_fig = rdtools.degradation_summary_plots(\n",
-    "    yoy_rd, yoy_ci, yoy_info, daily,\n",
-    "    summary_title='Sensor-based degradation results',\n",
-    "    scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "    hist_xmin=-30, hist_xmax=45, bins=100\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In addition to the confidence interval, the year-on-year method yields an exceedance value (e.g. P95), the degradation rate that was exceeded (slower degradation) with a given probability level. The probability level is set via the `exceedance_prob` keyword in `degradation_year_on_year`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The P95 exceedance level is -0.72%/yr\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('The P95 exceedance level is %.2f%%/yr' % yoy_info['exceedance_level'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-0.454\n",
-      "[-0.605 -0.253]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(np.round(yoy_rd, 3))\n",
-    "print(np.round(yoy_ci, 3))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 5: Soiling calculations  \n",
-    "\n",
-    "This section illustrates how the aggregated data can be used to estimate soiling losses using the stochastic rate and recovery (SRR) method.¹ Since our example system doesn't experience much soiling, we apply an artificially generated soiling signal, just for the sake of example.\n",
-    "\n",
-    "¹ M. G. Deceglie, L. Micheli and M. Muller, \"Quantifying Soiling Loss Directly From PV Yield,\" IEEE Journal of Photovoltaics, vol. 8, no. 2, pp. 547-551, March 2018. doi: 10.1109/JPHOTOV.2017.2784682"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:14: UserWarning:\n",
-      "\n",
-      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "\n",
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:366: UserWarning:\n",
-      "\n",
-      "20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Calculate the daily insolation, required for the SRR calculation\n",
-    "daily_insolation = filtered['insolation'].resample('D').sum()\n",
-    "\n",
-    "# Perform the SRR calculation\n",
-    "from rdtools.soiling import soiling_srr\n",
-    "cl = 68.2\n",
-    "sr, sr_ci, soiling_info = soiling_srr(daily, daily_insolation,\n",
-    "                                      confidence_level=cl)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The P50 insolation-weighted soiling ratio is 0.949\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('The P50 insolation-weighted soiling ratio is %0.3f'%sr)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The 68.2 confidence interval for the insolation-weighted soiling ratio is 0.944–0.954\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('The %0.1f confidence interval for the insolation-weighted'\n",
-    "      ' soiling ratio is %0.3f–%0.3f'%(cl, sr_ci[0], sr_ci[1]))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:165: UserWarning:\n",
-      "\n",
-      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot Monte Carlo realizations of soiling profiles\n",
-    "fig = rdtools.plotting.soiling_monte_carlo_plot(soiling_info, daily, profiles=200);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:225: UserWarning:\n",
-      "\n",
-      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot the slopes for \"valid\" soiling intervals identified,\n",
-    "# assuming perfect cleaning events\n",
-    "fig = rdtools.plotting.soiling_interval_plot(soiling_info, daily);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>start</th>\n",
-       "      <th>end</th>\n",
-       "      <th>soiling_rate</th>\n",
-       "      <th>soiling_rate_low</th>\n",
-       "      <th>soiling_rate_high</th>\n",
-       "      <th>inferred_start_loss</th>\n",
-       "      <th>inferred_end_loss</th>\n",
-       "      <th>length</th>\n",
-       "      <th>valid</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2010-02-25 00:00:00-07:00</td>\n",
-       "      <td>2010-03-03 00:00:00-07:00</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.721703</td>\n",
-       "      <td>0.721703</td>\n",
-       "      <td>6</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2010-03-04 00:00:00-07:00</td>\n",
-       "      <td>2010-03-04 00:00:00-07:00</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.800385</td>\n",
-       "      <td>0.800385</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2010-03-05 00:00:00-07:00</td>\n",
-       "      <td>2010-03-05 00:00:00-07:00</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.814419</td>\n",
-       "      <td>0.814419</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2010-03-06 00:00:00-07:00</td>\n",
-       "      <td>2010-03-06 00:00:00-07:00</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.060073</td>\n",
-       "      <td>1.060073</td>\n",
-       "      <td>0</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2010-03-07 00:00:00-07:00</td>\n",
-       "      <td>2010-03-09 00:00:00-07:00</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.027141</td>\n",
-       "      <td>1.027141</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                      start                       end  soiling_rate  \\\n",
-       "0 2010-02-25 00:00:00-07:00 2010-03-03 00:00:00-07:00           0.0   \n",
-       "1 2010-03-04 00:00:00-07:00 2010-03-04 00:00:00-07:00           0.0   \n",
-       "2 2010-03-05 00:00:00-07:00 2010-03-05 00:00:00-07:00           0.0   \n",
-       "3 2010-03-06 00:00:00-07:00 2010-03-06 00:00:00-07:00           0.0   \n",
-       "4 2010-03-07 00:00:00-07:00 2010-03-09 00:00:00-07:00           0.0   \n",
-       "\n",
-       "   soiling_rate_low  soiling_rate_high  inferred_start_loss  \\\n",
-       "0               0.0                0.0             0.721703   \n",
-       "1               0.0                0.0             0.800385   \n",
-       "2               0.0                0.0             0.814419   \n",
-       "3               0.0                0.0             1.060073   \n",
-       "4               0.0                0.0             1.027141   \n",
-       "\n",
-       "   inferred_end_loss  length  valid  \n",
-       "0           0.721703       6  False  \n",
-       "1           0.800385       0  False  \n",
-       "2           0.814419       0  False  \n",
-       "3           1.060073       0  False  \n",
-       "4           1.027141       2  False  "
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# View the first several rows of the soiling interval summary table\n",
-    "soiling_summary = soiling_info['soiling_interval_summary']\n",
-    "soiling_summary.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:265: UserWarning:\n",
-      "\n",
-      "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 450x300 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# View a histogram of the valid soiling rates found for the data set\n",
-    "fig = rdtools.plotting.soiling_rate_histogram(soiling_info, bins=50)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "These plots show generally good results from the SRR method. In this example, we have slightly overestimated the soiling loss because we used the default behavior of the `method` key word argument in `rdtools.soiling_srr()`, which does not assume that every cleaning is perfect but the example artificial soiling signal did include perfect cleaning. We encourage you to adjust the options of `rdtools.soiling_srr()` for your application."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>month</th>\n",
-       "      <th>soiling_rate_median</th>\n",
-       "      <th>soiling_rate_low</th>\n",
-       "      <th>soiling_rate_high</th>\n",
-       "      <th>interval_count</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.001135</td>\n",
-       "      <td>-0.002058</td>\n",
-       "      <td>-0.000788</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>-0.001623</td>\n",
-       "      <td>-0.003788</td>\n",
-       "      <td>-0.000830</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>-0.001481</td>\n",
-       "      <td>-0.002202</td>\n",
-       "      <td>-0.000524</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4</td>\n",
-       "      <td>-0.001170</td>\n",
-       "      <td>-0.001967</td>\n",
-       "      <td>-0.000379</td>\n",
-       "      <td>9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5</td>\n",
-       "      <td>-0.000401</td>\n",
-       "      <td>-0.000939</td>\n",
-       "      <td>-0.000199</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>6</td>\n",
-       "      <td>-0.000636</td>\n",
-       "      <td>-0.001212</td>\n",
-       "      <td>-0.000233</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>7</td>\n",
-       "      <td>-0.000541</td>\n",
-       "      <td>-0.001424</td>\n",
-       "      <td>-0.000203</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>8</td>\n",
-       "      <td>-0.000652</td>\n",
-       "      <td>-0.001669</td>\n",
-       "      <td>-0.000272</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>9</td>\n",
-       "      <td>-0.000800</td>\n",
-       "      <td>-0.001582</td>\n",
-       "      <td>-0.000393</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>10</td>\n",
-       "      <td>-0.000971</td>\n",
-       "      <td>-0.001775</td>\n",
-       "      <td>-0.000466</td>\n",
-       "      <td>10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>11</td>\n",
-       "      <td>-0.001314</td>\n",
-       "      <td>-0.002744</td>\n",
-       "      <td>-0.000514</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>12</td>\n",
-       "      <td>-0.001239</td>\n",
-       "      <td>-0.002816</td>\n",
-       "      <td>-0.000782</td>\n",
-       "      <td>10</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    month  soiling_rate_median  soiling_rate_low  soiling_rate_high  \\\n",
-       "0       1            -0.001135         -0.002058          -0.000788   \n",
-       "1       2            -0.001623         -0.003788          -0.000830   \n",
-       "2       3            -0.001481         -0.002202          -0.000524   \n",
-       "3       4            -0.001170         -0.001967          -0.000379   \n",
-       "4       5            -0.000401         -0.000939          -0.000199   \n",
-       "5       6            -0.000636         -0.001212          -0.000233   \n",
-       "6       7            -0.000541         -0.001424          -0.000203   \n",
-       "7       8            -0.000652         -0.001669          -0.000272   \n",
-       "8       9            -0.000800         -0.001582          -0.000393   \n",
-       "9      10            -0.000971         -0.001775          -0.000466   \n",
-       "10     11            -0.001314         -0.002744          -0.000514   \n",
-       "11     12            -0.001239         -0.002816          -0.000782   \n",
-       "\n",
-       "    interval_count  \n",
-       "0                5  \n",
-       "1                7  \n",
-       "2                7  \n",
-       "3                9  \n",
-       "4                5  \n",
-       "5                7  \n",
-       "6                7  \n",
-       "7                8  \n",
-       "8                8  \n",
-       "9               10  \n",
-       "10               8  \n",
-       "11              10  "
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Calculate and view a monthly soiling rate summary\n",
-    "from rdtools.soiling import monthly_soiling_rates\n",
-    "monthly_soiling_rates(soiling_info['soiling_interval_summary'],\n",
-    "                      confidence_level=cl)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>year</th>\n",
-       "      <th>soiling_ratio_median</th>\n",
-       "      <th>soiling_ratio_low</th>\n",
-       "      <th>soiling_ratio_high</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2010</td>\n",
-       "      <td>0.963595</td>\n",
-       "      <td>0.953683</td>\n",
-       "      <td>0.970623</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2011</td>\n",
-       "      <td>0.957843</td>\n",
-       "      <td>0.952174</td>\n",
-       "      <td>0.962844</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2012</td>\n",
-       "      <td>0.932868</td>\n",
-       "      <td>0.914425</td>\n",
-       "      <td>0.946839</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2013</td>\n",
-       "      <td>0.963971</td>\n",
-       "      <td>0.954543</td>\n",
-       "      <td>0.970562</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2014</td>\n",
-       "      <td>0.923057</td>\n",
-       "      <td>0.899209</td>\n",
-       "      <td>0.945093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2015</td>\n",
-       "      <td>0.963245</td>\n",
-       "      <td>0.949240</td>\n",
-       "      <td>0.972810</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2016</td>\n",
-       "      <td>0.958073</td>\n",
-       "      <td>0.948505</td>\n",
-       "      <td>0.964359</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   year  soiling_ratio_median  soiling_ratio_low  soiling_ratio_high\n",
-       "0  2010              0.963595           0.953683            0.970623\n",
-       "1  2011              0.957843           0.952174            0.962844\n",
-       "2  2012              0.932868           0.914425            0.946839\n",
-       "3  2013              0.963971           0.954543            0.970562\n",
-       "4  2014              0.923057           0.899209            0.945093\n",
-       "5  2015              0.963245           0.949240            0.972810\n",
-       "6  2016              0.958073           0.948505            0.964359"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Calculate and view annual insolation-weighted soiling ratios and their confidence\n",
-    "# intervals based on the Monte Carlo simulation. Note that these losses include the\n",
-    "# assumptions of the cleaning assumptions associated with the method parameter\n",
-    "# of rdtools.soiling_srr(). For anything but 'perfect_clean', each year's soiling\n",
-    "# ratio may be impacted by prior years' soiling profiles. The default behavior of\n",
-    "# rdtools.soiling_srr uses method='half_norm_clean'\n",
-    "\n",
-    "from rdtools.soiling import annual_soiling_ratios\n",
-    "annual_soiling_ratios(soiling_info['stochastic_soiling_profiles'],\n",
-    "                      daily_insolation,\n",
-    "                      confidence_level=cl)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "heading_collapsed": true
-   },
-   "source": [
-    "## Clear sky workflow\n",
-    "The clear sky workflow is useful in that it avoids problems due to drift or recalibration of ground-based sensors. We use `pvlib` to model the clear sky irradiance. This is renormalized to align it with ground-based measurements. Finally we use `rdtools.get_clearsky_tamb()` to model the ambient temperature on clear sky days. This modeled ambient temperature is used to model cell temperature with `pvlib`. If high quality ambient temperature data is available, that can be used instead of the modeled ambient; we proceed with the modeled ambient temperature here for illustrative purposes.\n",
-    "\n",
-    "In this example, note that we have omitted wind data in the cell temperature calculations for illustrative purposes. Wind data can also be included when the data source is trusted for improved results\n",
-    "\n",
-    "We generally recommend that the clear sky workflow be used as a check on the sensor workflow. It tends to be more sensitive than the sensor workflow, and thus we don't recommend it as a stand-alone analysis.\n",
-    "\n",
-    "**Note that the calculations below rely on some objects from the steps above**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 0: Preliminary Calculations"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Calculate the clear sky POA irradiance\n",
-    "\n",
-    "loc = pvlib.location.Location(meta['latitude'], meta['longitude'], tz = meta['timezone'])\n",
-    "sun = loc.get_solarposition(df.index)\n",
-    "clearsky = loc.get_clearsky(df.index, solar_position=sun)\n",
-    "\n",
-    "cs_irradiance = pvlib.irradiance.get_total_irradiance(meta['tilt'], meta['azimuth'], sun['apparent_zenith'],\n",
-    "                                                     sun['azimuth'], clearsky['dni'], clearsky['ghi'],\n",
-    "                                                     clearsky['dhi'])\n",
-    "df['clearsky_poa'] = cs_irradiance.poa_global\n",
-    "# Renormalize the clear sky POA irradiance\n",
-    "df['clearsky_poa'] = rdtools.irradiance_rescale(df.poa, df.clearsky_poa,\n",
-    "                                                method='iterative')\n",
-    "\n",
-    "# Calculate the clearsky temperature\n",
-    "df['clearsky_Tamb'] = rdtools.get_clearsky_tamb(df.index, meta['latitude'],\n",
-    "                                                meta['longitude'])\n",
-    "df['clearsky_Tcell'] = pvlib.temperature.sapm_cell(df.clearsky_poa, df.clearsky_Tamb,\n",
-    "                                                   0, **meta['temp_model_params'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 1: Normalize\n",
-    "Normalize as in step 1 above, but this time using clearsky modeled irradiance and cell temperature"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Calculate the expected power with a simple PVWatts DC model\n",
-    "clearsky_modeled_power = pvlib.pvsystem.pvwatts_dc(df['clearsky_poa'],\n",
-    "                                                   df['clearsky_Tcell'],\n",
-    "                                                   meta['power_dc_rated'], meta['gamma_pdc'], 25.0 )\n",
-    "\n",
-    "# Calculate the normalization, the function also returns the relevant insolation for\n",
-    "# each point in the normalized PV energy timeseries\n",
-    "clearsky_normalized, clearsky_insolation = rdtools.normalize_with_expected_power(\n",
-    "    df['power'],\n",
-    "    clearsky_modeled_power,\n",
-    "    df['clearsky_poa']\n",
-    ")\n",
-    "\n",
-    "df['clearsky_normalized'] = clearsky_normalized\n",
-    "df['clearsky_insolation'] = clearsky_insolation"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 2: Filter\n",
-    "Filter as in step 2 above, but with the addition of a clear sky index (csi) filter so we consider only points well modeled by the clear sky irradiance model."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Perform clearsky filter\n",
-    "cs_normalized_mask = rdtools.normalized_filter(df['clearsky_normalized'])\n",
-    "cs_poa_mask = rdtools.poa_filter(df['clearsky_poa'])\n",
-    "cs_tcell_mask = rdtools.tcell_filter(df['clearsky_Tcell'])\n",
-    "\n",
-    "csi_mask = rdtools.csi_filter(df.insolation, df.clearsky_insolation)\n",
-    "\n",
-    "clearsky_filtered = df[cs_normalized_mask & cs_poa_mask & cs_tcell_mask &\n",
-    "                       clip_mask & csi_mask]\n",
-    "clearsky_filtered = clearsky_filtered[['clearsky_insolation', 'clearsky_normalized']]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 3: Aggregate\n",
-    "Aggregate the clear sky version of of the filtered data "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "clearsky_daily = rdtools.aggregation_insol(clearsky_filtered.clearsky_normalized,\n",
-    "                                           clearsky_filtered.clearsky_insolation)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Clear Sky 4: Degradation Calculation\n",
-    "Estimate the degradation rate and compare to the results obtained with sensors. In this case, we see that the degradation rate estimated with the clearsky methodology is not far off from the sensor-based estimate. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The P95 exceedance level with the clear sky analysis is -0.90%/yr\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Calculate the degradation rate using the YoY method\n",
-    "cs_yoy_rd, cs_yoy_ci, cs_yoy_info = rdtools.degradation_year_on_year(\n",
-    "    clearsky_daily,\n",
-    "    confidence_level=68.2\n",
-    ")\n",
-    "\n",
-    "# Note the default confidence_level of 68.2 is appropriate if you would like to \n",
-    "# report a confidence interval analogous to the standard deviation of a normal\n",
-    "# distribution. The size of the confidence interval is adjustable by setting the\n",
-    "# confidence_level variable.\n",
-    "\n",
-    "# Visualize the results\n",
-    "clearsky_fig = rdtools.degradation_summary_plots(\n",
-    "    cs_yoy_rd, cs_yoy_ci, cs_yoy_info, clearsky_daily,\n",
-    "    summary_title='Clear-sky-based degradation results',\n",
-    "    scatter_ymin=0.5, scatter_ymax=1.1,\n",
-    "    hist_xmin=-30, hist_xmax=45, plot_color='orangered',\n",
-    "    bins=100);\n",
-    "\n",
-    "print('The P95 exceedance level with the clear sky analysis is %.2f%%/yr' %\n",
-    "      cs_yoy_info['exceedance_level'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "-0.509\n",
-      "[-0.75  -0.301]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(np.round(cs_yoy_rd, 3))\n",
-    "print(np.round(cs_yoy_ci, 3))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1000x300 with 2 Axes>"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Compare to previous sensor results\n",
-    "degradation_fig"
-   ]
-  }
- ],
- "metadata": {
-  "anaconda-cloud": {},
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/nbval_sanitization_rules.cfg b/docs/nbval_sanitization_rules.cfg
index 84d32fdd9..7a8b786a0 100644
--- a/docs/nbval_sanitization_rules.cfg
+++ b/docs/nbval_sanitization_rules.cfg
@@ -11,3 +11,11 @@
 [regex1]
 regex: .*: UserWarning:
 replace: NBVAL-FILEPATH: UserWarning:
+
+[regex2]
+regex: \d{1,2}/\d{1,2}/\d{2,4}
+replace: DATE-STAMP
+
+[regex3]
+regex: \d{2}:\d{2}:\d{2}
+replace: TIME-STAMP
diff --git a/docs/notebook_requirements.txt b/docs/notebook_requirements.txt
index 8afe0f87a..f3c5dc957 100644
--- a/docs/notebook_requirements.txt
+++ b/docs/notebook_requirements.txt
@@ -1,55 +1,55 @@
-appnope==0.1.0
-argon2-cffi==21.2.0
+appnope==0.1.4
+argon2-cffi==23.1.0
 argon2-cffi-bindings==21.2.0
-backcall==0.1.0
-beautifulsoup4==4.11.1
-bleach==3.3.0
-cffi==1.15.0
-colorama==0.4.4
-decorator==4.3.0
+backcall==0.2.0
+beautifulsoup4==4.12.3
+bleach==6.1.0
+cffi==1.17.0
+colorama==0.4.6
+decorator==5.1.1
 defusedxml==0.7.1
-entrypoints==0.2.3
-html5lib==1.0.1
-ipykernel==4.8.2
-ipython==8.10.0
+entrypoints==0.4
+html5lib==1.1
+ipykernel==6.29.5
+ipython==8.26.0
 ipython-genutils==0.2.0
-ipywidgets==7.3.0
-jedi==0.16.0
-Jinja2==3.0.0
-jsonschema==2.6.0
+ipywidgets==8.1.3
+jedi==0.19.1
+Jinja2==3.1.5
+jsonschema==4.23.0
 jupyter==1.0.0
-jupyter-client==6.1.7
-jupyter-console==6.4.0
-jupyter-core==4.11.2
-jupyterlab-pygments==0.2.2
-lxml==4.9.1
-MarkupSafe==2.0.0
-mistune==2.0.3
-nbclient==0.6.3
-nbconvert==7.0.0
-nbformat==5.1.0
-nest-asyncio==1.5.5
-notebook==6.4.12
-numexpr==2.8.0
-pandocfilters==1.4.2
-parso==0.5.2
-pexpect==4.6.0
+jupyter-client==8.6.2
+jupyter-console==6.6.3
+jupyter-core==5.7.2
+jupyterlab-pygments==0.3.0
+lxml==5.3.0
+MarkupSafe==2.1.5
+mistune==3.0.2
+nbclient==0.10.0
+nbconvert==7.16.4
+nbformat==5.10.4
+nest-asyncio==1.6.0
+notebook==7.2.1
+numexpr==2.10.1
+pandocfilters==1.5.1
+parso==0.8.4
+pexpect==4.9.0
 pickleshare==0.7.5
-prometheus-client==0.3.0
-prompt-toolkit==3.0.30
-ptyprocess==0.6.0
-pycparser==2.20
-Pygments==2.15.0
-pyzmq==22.2.1
-qtconsole==4.3.1
-Send2Trash==1.8.0
+prometheus-client==0.20.0
+prompt-toolkit==3.0.47
+ptyprocess==0.7.0
+pycparser==2.22
+Pygments==2.18.0
+pyzmq==26.1.1
+qtconsole==5.5.2
+Send2Trash==1.8.3
 simplegeneric==0.8.1
-soupsieve==2.3.2.post1
-terminado==0.8.3
-testpath==0.3.1
-tinycss2==1.1.1
-tornado==6.3.3
-traitlets==5.0.0
-wcwidth==0.1.7
+soupsieve==2.6
+terminado==0.18.1
+testpath==0.6.0
+tinycss2==1.3.0
+tornado==6.4.2
+traitlets==5.14.3
+wcwidth==0.2.13
 webencodings==0.5.1
-widgetsnbextension==3.3.0
+widgetsnbextension==4.0.11
diff --git a/docs/sphinx/source/api.rst b/docs/sphinx/source/api.rst
index 3b12d3a7f..8abb4a8ae 100644
--- a/docs/sphinx/source/api.rst
+++ b/docs/sphinx/source/api.rst
@@ -9,14 +9,14 @@ Submodules
 ==========
 
 RdTools is organized into submodules focused on different parts of the data
-analysis workflow.  
+analysis workflow.
 
 .. autosummary::
    :toctree: generated/
 
    analysis_chains
    degradation
-   soiling   
+   soiling
    availability
    filtering
    normalization
@@ -41,8 +41,9 @@ Object-oriented end-to-end analysis
    analysis_chains.TrendAnalysis.plot_soiling_interval
    analysis_chains.TrendAnalysis.plot_soiling_monte_carlo
    analysis_chains.TrendAnalysis.plot_pv_vs_irradiance
-   
-   
+   analysis_chains.TrendAnalysis.plot_degradation_timeseries
+
+
 Degradation
 ===========
 
@@ -71,6 +72,10 @@ Soiling
    annual_soiling_ratios
    SRRAnalysis
    SRRAnalysis.run
+   soiling_cods
+   CODSAnalysis
+   CODSAnalysis.iterative_signal_decomposition
+   CODSAnalysis.run_bootstrap
 
 
 System Availability
@@ -81,7 +86,7 @@ System Availability
 
 .. autosummary::
    :toctree: generated/
-   
+
    AvailabilityAnalysis
    AvailabilityAnalysis.run
    AvailabilityAnalysis.plot
@@ -95,15 +100,22 @@ Filtering
 
 .. autosummary::
    :toctree: generated/
-    
+
    clip_filter
    quantile_clip_filter
    logic_clip_filter
    xgboost_clip_filter
+   clearsky_filter
    csi_filter
+   pvlib_clearsky_filter
    poa_filter
    tcell_filter
    normalized_filter
+   two_way_window_filter
+   insolation_filter
+   hampel_filter
+   directional_tukey_filter
+   hour_angle_filter
 
 
 Normalization
@@ -120,9 +132,7 @@ Normalization
    irradiance_rescale
    normalize_with_expected_power
    normalize_with_pvwatts
-   normalize_with_sapm
    pvwatts_dc_power
-   sapm_dc_power
    delta_index
    check_series_frequency
 
@@ -161,8 +171,10 @@ Plotting
    :toctree: generated/
 
    degradation_summary_plots
+   degradation_timeseries_plot
    soiling_monte_carlo_plot
    soiling_interval_plot
    soiling_rate_histogram
    availability_summary_plots
-   tune_filter_plot
\ No newline at end of file
+   tune_filter_plot
+
diff --git a/docs/sphinx/source/changelog.rst b/docs/sphinx/source/changelog.rst
index 8b5fe59ff..fc3d805a9 100644
--- a/docs/sphinx/source/changelog.rst
+++ b/docs/sphinx/source/changelog.rst
@@ -1,10 +1,12 @@
 RdTools Change Log
 ==================
+.. include:: changelog/v3.0.0.rst
 .. include:: changelog/v2.1.8.rst
 .. include:: changelog/v2.1.7.rst
 .. include:: changelog/v2.1.6.rst
 .. include:: changelog/v2.1.5.rst
 .. include:: changelog/v2.1.4.rst
+.. include:: changelog/v2.2.0-beta.0.rst
 .. include:: changelog/v2.1.3.rst
 .. include:: changelog/v2.1.2.rst
 .. include:: changelog/v2.1.1.rst
diff --git a/docs/sphinx/source/changelog/v2.1.0.rst b/docs/sphinx/source/changelog/v2.1.0.rst
index 55ebe4276..e8cf81c21 100644
--- a/docs/sphinx/source/changelog/v2.1.0.rst
+++ b/docs/sphinx/source/changelog/v2.1.0.rst
@@ -1,6 +1,6 @@
-************************
+***************************
 v2.1.0 (September 17, 2021)
-************************
+***************************
 
 API Changes
 -----------
diff --git a/docs/sphinx/source/changelog/v3.0.0.rst b/docs/sphinx/source/changelog/v3.0.0.rst
new file mode 100644
index 000000000..e4d5ff34a
--- /dev/null
+++ b/docs/sphinx/source/changelog/v3.0.0.rst
@@ -0,0 +1,224 @@
+*********************************
+v3.0.0 (January XX, 2025)
+*********************************
+
+Breaking changes
+----------------
+These changes have the potential to change answers in existing scripts
+when compared with older versions of RdTools
+
+* Use the pvlib method for clear sky detection by default in :py:func:`~rdtools.analysis_chains.TrendAnalysis` (:pull:`412`)
+* Change default clipping filter ``model`` to ``logic`` (:pull:`425`)
+* Turn on the ``two_way_window_filter`` by default in ``TrendAnalysis`` (:pull:`425`)
+* Upgrade pvlib 0.9.0 to 0.11.0 (:pull:`428`)
+
+
+Enhancements
+------------
+* Added framework for running aggregated filters in ``analysis_chains.py`` (:pull:`348`)
+* The Combined estimation Of Degradation and Soiling (CODS) algorithm is implemented
+  in the soiling module and illustrated in an example notebook (:pull:`150`, :pull:`333`)
+* New plotting functions :py:func:`rdtools.analysis_chains.TrendAnalysis.plot_degradation_timeseries` 
+  in TrendAnalysis object and :py:func:`rdtools.plotting.degradation_timeseries_plot`
+  to plot time series degradation trend.  (:issue:`334`, :pull:`335`)
+* Specifying ``detailed=True`` in :py:func:`rdtools.plotting.degradation_summary_plots`
+  now shows the number of year-on-year slopes in addition to color coding points
+  (:issue:`298`, :pull:`324`)
+* Add `CITATION.cff` file for citation information (:pull:`434`)
+* Added checks to TrendAnalysis for `filter_params` and `filter_params_aggregated`. Raises an error if unkown filter is supplied. (:pull:`436`)
+* Added a new wrapper function for clearsky filters (:pull:`412`)
+* Added codecov.yml configuration file (:pull:`420`)
+* Availability module no longer considered experimental (:pull:`429`)
+* Allow sub-daily aggregation in :py:func:`~rdtools.degradation.degradation_year_on_year` (:pull:`390`)
+* Circular block bootstrapping added as a method for calculating uncertainty in
+  ``degradation_year_on_year()`` via the ``Uncertainty_method`` argument (:pull:`150`)
+
+
+Deprecations
+------------
+* Removed  :py:func:`~rdtools.normalization.sapm_dc_power` (:pull:`419`)
+* Removed  :py:func:`~rdtools.normalization.normalize_with_sapm` (:pull:`419`)
+* Removed  :py:func:`~rdtools.test.conftest.fail_on_rdtools_version` (:pull:`428`)
+
+
+Bug fixes
+---------
+* Set marker linewidth to zero in `rdtools.plotting.degradation_summary_plots` (:issue:`408`, :pull:`433`)
+* Fix :py:func:`~rdtools.normalization.energy_from_power` returns incorrect index for shifted hourly data (:issue:`370`, :pull:`437`)
+* Add warning to clearsky workflow when ``power_expected`` is passed by user (:issue:`271`, :pull:`439`)
+* Fix different results with Nan's and Zeros in power series (:issue:`313`, :pull:`442`)
+* Fix pandas deprecation warnings in tests (:pull:`444`)
+* Fix typos in citation section of the readme file (:issue:`414`, :pull:`421`)
+* Fix deploy workflow to pypi (:issue:`416`, :pull:`427`)
+* Deploy workflow was replaced with trusted publisher workflow for pypi (:pull:`427`)
+* Fix pandas 2.0.0 deprications and update syntax changes (:pull:`428`)
+* Fix numpy 2.0.0 deprications and update syntax changes (:pull:`428`)
+* Fix flake8 missing whitespaces ``bootstrap_test.py``, ``soiling_cods_test.py`` (:pull:`400`)
+* Specify dtype for seasonal samples ``soiling.py`` (:pull:`400`)
+* Update deprecated `check_less_precise` to `rtol` ``soiling_cods_test.py`` (:pull:`400`)
+
+
+Requirements
+------------
+* Removed support for python<3.9
+* Updated tornado==6.4.2 in ``notebook_requirements.txt`` (:pull:`438`)
+* Updated Jinja2==3.1.5 in ``notebook_requirements.txt`` (:pull:`447`)
+* Specified versions in ``requirements.txt``, ``requirements_min.txt`` and ``docs/notebook_requirements.txt`` have been updated (:pull:`412`, :pull:`428`, :pull:`429`)
+
+    * Updated certifi==2024.7.4 in ``requirements.txt`` (:pull:`428`)
+    * Updated chardet==5.2.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated cycler==0.12.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated fonttools==4.53.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated h5py==3.11.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated idna==3.7 in ``requirements.txt`` (:pull:`428`)
+    * Updated joblib==1.4.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated kiwisolver==1.4.5 in ``requirements.txt`` (:pull:`428`)
+    * Updated matplotlib==3.9.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated numpy==2.1.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated packaging==24.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated pandas==2.2.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated patsy==0.5.6 in ``requirements.txt`` (:pull:`428`)
+    * Updated Pillow==10.4.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated plotly==5.23.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated pvlib==0.11.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated pyparsing==3.1.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated python-dateutil==2.9.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated pytz==2024.1 in ``requirements.txt`` (:pull:`428`)
+    * Added arch==7.0.0 in ``requirements.txt`` (:pull:`428`)
+    * Added filterpy==1.4.5 in ``requirements.txt`` (:pull:`428`)
+    * Updated requests==2.32.3 in ``requirements.txt`` (:pull:`428`)
+    * Updated retrying==1.3.4 in ``requirements.txt`` (:pull:`428`)
+    * Updated scikit-learn==1.5.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated scipy==1.13.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated setuptools-scm==8.1.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated six==1.16.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated statsmodels==0.14.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated threadpoolctl==3.5.0 in ``requirements.txt`` (:pull:`428`)
+    * Updated typing_extensions==4.12.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated urllib3==2.2.2 in ``requirements.txt`` (:pull:`428`)
+    * Updated xgboost==2.1.1 in ``requirements.txt`` (:pull:`428`)
+    * Updated matplotlib==3.5.3 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated numpy==1.22.4 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated pandas==1.4.4 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated statsmodels==0.13.5 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated scipy==1.8.1 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated h5py==3.7.0 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated pvlib==0.11.0 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated scikit-learn==1.1.3 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated arch==5.0 in ``requirements_min.txt`` (:pull:`429`)
+    * Updated filterpy==1.4.5 in ``requirements_min.txt`` (:pull:`428`)
+    * Updated xgboost==1.6.0 in ``requirements_min.txt`` (:pull:`431`)
+    * Updated appnope==0.1.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated argon2-cffi==23.1.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated backcall==0.2.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated beautifulsoup4==4.12.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated bleach==6.1.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated cffi==1.17.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated colorama==0.4.6 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated decorator==5.1.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated entrypoints==0.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated html5lib==1.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated ipykernel==6.29.5 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated ipython==8.26.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated ipywidgets==8.1.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jedi==0.19.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated Jinja2==3.1.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jsonschema==4.23.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jupyter-client==8.6.2 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jupyter-console==6.6.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jupyter-core==5.7.2 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated jupyterlab-pygments==0.3.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated lxml==5.3.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated MarkupSafe==2.1.5 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated mistune==3.0.2 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated nbclient==0.10.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated nbconvert==7.16.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated nbformat==5.10.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated nest-asyncio==1.6.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated notebook==7.2.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated numexpr==2.10.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated pandocfilters==1.5.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated parso==0.8.4 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated pexpect==4.9.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated prometheus-client==0.20.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated prompt-toolkit==3.0.47 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated ptyprocess==0.7.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated pycparser==2.22 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated Pygments==2.18.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated pyzmq==26.1.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated qtconsole==5.5.2 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated Send2Trash==1.8.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated soupsieve==2.6 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated terminado==0.18.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated testpath==0.6.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated tinycss2==1.3.0 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated tornado==6.4.1 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated traitlets==5.14.3 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated wcwidth==0.2.13 in ``notebook_requirements.txt`` (:pull:`428`)
+    * Updated widgetsnbextension==4.0.11 in ``notebook_requirements.txt`` (:pull:`428`)
+
+* Update requirements in setup.py
+    * Increase maximum version of pvlib to <0.12 (:pull:`423`)
+    * Updated classifiers to accomodate new python versions (:pull:`428`)
+    * Add pytest-cov to TESTS_REQUIRE (:pull:`420`)
+    * Add arch >= 5.0 to INSTALL_REQUIRES (:pull:`429`)
+    * Add filterpy >= 1.4.2 to INSTALL_REQUIRES (:pull:`428`)
+    * Updated matplotlib >= 3.5.3 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated numpy >= 1.22.4 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated pandas >= 1.4.4 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated statsmodels >= 0.13.5 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated scipy >= 1.8.1 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated h5py >= 3.7.0 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated plotly>=4.0.0 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated xgboost >= 1.6.0 in INSTALL_REQUIRES (:pull:`431`)
+    * Updated pvlib >= 0.9.0, <0.12.0 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated scikit-learn >= 1.1.3 in INSTALL_REQUIRES (:pull:`428`)
+    * Updated sphinx==7.4.7 in EXTRAS_REQUIRE (:pull:`390`)
+    * Updated nbsphinx==0.9.5 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated nbsphinx-link==1.3.1 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated sphinx_rtd_theme==3.0.1 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated sphinx==8.0.2 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated nbsphinx==0.9.5 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated nbsphinx-link==1.3.1 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated sphinx_rtd_theme==3.0.1 in EXTRAS_REQUIRE (:pull:`428`)
+    * Updated sphinx-gallery==0.18.0 in EXTRAS_REQUIRE (:pull:`428`)
+
+
+* Updated Github actions in workflows (:pull:`428`)
+* Updated versioneer to 0.29 (:pull:`428`)
+* Updated os to ubuntu-24.04 and python to 3.12 in ``.readthedocs.yml`` (:pull:`428`)
+* Bump arch to 5.6.0 in ``requirements.txt``
+* Upgrade the notebook environment from python 3.7 to python 3.10.
+  (:issue:`319`, :pull:`326`)
+* Bump ``sphinx`` version from 3.2 to 4.5 and ``nbsphinx`` version
+  from 0.8.5 to 0.8.8 in the optional ``[doc]`` requirements (:pull:`317`, :pull:`325`)
+* ``arch`` and ``filterpy`` added as dependencies (:pull:`150`)
+* minimum version of ``numpy`` increased to 1.16 and minimum version of
+  statsmodels increased to 0.11.1 (:pull:`150`)
+* A number of updates to the environments specified in ``requirements.txt``,
+  ``requirements-min.txt``, and ``docs/notebook_requirements.txt``
+  (:pull:`326`, :pull:`314`, :pull:`337`)
+
+
+Tests
+-----
+* Add tests for pvlib clearsky fiter in analysis chain (:pull:`441`)
+* Testing matrix was updated to include python = [3.9, 3.10, 3.11, 3.12] (:pull:`428`)
+* nbval sanitization rules were added for date and time stamp (:pull:`428`)
+* Added a CI notebook check (:pull:`270`)
+* Improve test coverage, especially for the newly added filter capabilities (:pull:`413`)
+
+Documentation
+-------------
+* External link syntax updated to avoid warnings with new versions (:pull:`428`)
+
+
+Contributors
+------------
+* Kevin Anderson (:ghuser:`kandersolar`)
+* Michael Deceglie (:ghuser:`mdeceglie`)
+* Chris Deline (:ghuser:`cdeline`)
+* Dirk Jordan (:ghuser:`dirkjordan`)
+* Kirsten Perry (:ghuser:`kperrynrel`)
+* Åsmund Skomedal (:ghuser:`asmunds`)
+* Martin Springer (:ghuser:`martin-springer`)
diff --git a/docs/sphinx/source/conf.py b/docs/sphinx/source/conf.py
index ff39965b6..c46717ae7 100644
--- a/docs/sphinx/source/conf.py
+++ b/docs/sphinx/source/conf.py
@@ -22,7 +22,7 @@
 # -- Project information -----------------------------------------------------
 
 project = 'RdTools'
-copyright = '2016–2021 kWh Analytics, Alliance for Sustainable Energy, LLC, SunPower, and DNV'
+copyright = '2016–2024 kWh Analytics, Alliance for Sustainable Energy, LLC, SunPower, and DNV'
 author = 'kWh Analytics, Alliance for Sustainable Energy, LLC, SunPower, and DNV'
 
 # The full version, including alpha/beta/rc tags
@@ -62,9 +62,9 @@
 
 # List of external link aliases.  Allows use of :pull:`123` to autolink that PR
 extlinks = {
-    'issue': ('https://github.com/NREL/rdtools/issues/%s', 'GH #'),
-    'pull': ('https://github.com/NREL/rdtools/pull/%s', 'GH #'),
-    'ghuser': ('https://github.com/%s', '@')
+    "issue": ("https://github.com/NREL/rdtools/issues/%s", "GH #%s"),
+    "pull": ("https://github.com/NREL/rdtools/pull/%s", "GH #%s"),
+    "ghuser": ("https://github.com/%s", "@%s"),
 }
 
 # -- Options for HTML output -------------------------------------------------
diff --git a/docs/sphinx/source/examples.rst b/docs/sphinx/source/examples.rst
index 3d7b3a58b..57c5b6ae2 100644
--- a/docs/sphinx/source/examples.rst
+++ b/docs/sphinx/source/examples.rst
@@ -22,6 +22,7 @@ This page shows example usage of the RdTools analysis functions.
 
 .. nbgallery::
 
-    examples/degradation_and_soiling_example_pvdaq_4
-    examples/TrendAnalysis_example_pvdaq4
+    examples/degradation_and_soiling_example
+    examples/TrendAnalysis_example
+    examples/TrendAnalysis_example_NSRDB
     examples/system_availability_example
diff --git a/docs/sphinx/source/examples/TrendAnalysis_example.nblink b/docs/sphinx/source/examples/TrendAnalysis_example.nblink
new file mode 100644
index 000000000..dc757ec4b
--- /dev/null
+++ b/docs/sphinx/source/examples/TrendAnalysis_example.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../TrendAnalysis_example.ipynb"
+}
\ No newline at end of file
diff --git a/docs/sphinx/source/examples/TrendAnalysis_example_NSRDB.nblink b/docs/sphinx/source/examples/TrendAnalysis_example_NSRDB.nblink
new file mode 100644
index 000000000..626d78bcf
--- /dev/null
+++ b/docs/sphinx/source/examples/TrendAnalysis_example_NSRDB.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../TrendAnalysis_example_NSRDB.ipynb"
+}
\ No newline at end of file
diff --git a/docs/sphinx/source/examples/TrendAnalysis_example_pvdaq4.nblink b/docs/sphinx/source/examples/TrendAnalysis_example_pvdaq4.nblink
deleted file mode 100644
index 4e582ad33..000000000
--- a/docs/sphinx/source/examples/TrendAnalysis_example_pvdaq4.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../TrendAnalysis_example_pvdaq4.ipynb"
-}
\ No newline at end of file
diff --git a/docs/sphinx/source/examples/degradation_and_soiling_example.nblink b/docs/sphinx/source/examples/degradation_and_soiling_example.nblink
new file mode 100644
index 000000000..6279d496e
--- /dev/null
+++ b/docs/sphinx/source/examples/degradation_and_soiling_example.nblink
@@ -0,0 +1,3 @@
+{
+    "path": "../../../degradation_and_soiling_example.ipynb"
+}
\ No newline at end of file
diff --git a/docs/sphinx/source/examples/degradation_and_soiling_example_pvdaq_4.nblink b/docs/sphinx/source/examples/degradation_and_soiling_example_pvdaq_4.nblink
deleted file mode 100644
index b909a7ca9..000000000
--- a/docs/sphinx/source/examples/degradation_and_soiling_example_pvdaq_4.nblink
+++ /dev/null
@@ -1,3 +0,0 @@
-{
-    "path": "../../../degradation_and_soiling_example_pvdaq_4.ipynb"
-}
\ No newline at end of file
diff --git a/docs/sphinx/source/index.rst b/docs/sphinx/source/index.rst
index c26c24044..cf6d0f0cc 100644
--- a/docs/sphinx/source/index.rst
+++ b/docs/sphinx/source/index.rst
@@ -36,26 +36,29 @@ supported. A typical analysis of soiling and degradation contains the following:
 
 0. Import and preliminary calculations
 1. Normalize data using a performance metric
-2. Filter data that creates bias
+2. Filter data to reduce error
 3. Aggregate data
-4. Analyze aggregated data to estimate the degradation rate and/or
+4. Filter aggregated data to remove anomalies
+5. Analyze aggregated data to estimate the degradation rate and/or
    soiling loss
 
-Steps 1 and 2 may be accomplished with the clearsky workflow (see the
-:ref:`examples`) which can help eliminate problems from irradiance sensor
-drift.
-
-.. image:: _images/RdTools_workflows.png
-  :alt: RdTools workflow diagram
+It can be helpful to repeat the above steps with both ground-based measurements of weather
+and satellite weather to check for drift in the ground-based measurements. This is illustrated
+in the TrendAnalysis with NSRDB example.
 
 Degradation
 ^^^^^^^^^^^
 
 The preferred method for degradation rate estimation is the year-on-year
 (YOY) approach (Jordan 2018), available in :py:func:`.degradation.degradation_year_on_year`.
-The YOY calculation yields in a distribution of degradation rates, the
+The YOY calculation yields a distribution of degradation rates, the
 central tendency of which is the most representative of the true
-degradation. The width of the distribution provides information about
+degradation. We note that the workflow described above and implemented in 
+:py:class:`.analysis_chains.TrendAnalysis` provides an estimate of degradation rate,
+not performance loss rate (PLR). PLR includes losses that are explicitly filtered
+out by the primary workflow (Deceglie 2023).
+
+The width of the distribution provides information about
 the uncertainty in the estimate via a bootstrap calculation. The
 :ref:`examples` use the output of
 :py:func:`.degradation.degradation_year_on_year` to visualize the calculation.
@@ -63,28 +66,26 @@ the uncertainty in the estimate via a bootstrap calculation. The
 .. image:: _images/Clearsky_result_updated.png
    :alt: RdTools degradation results plot
 
-Two workflows are available for system performance ratio calculation,
-and illustrated in an example notebook. The sensor-based approach
-assumes that site irradiance and temperature sensors are calibrated and
-in good repair. Since this is not always the case, a 'clear-sky'
-workflow is provided that is based on modeled temperature and
-irradiance. Note that site irradiance data is still required to identify
-clear-sky conditions to be analyzed. In many cases, the 'clear-sky'
-analysis can identify conditions of instrument errors or irradiance
-sensor drift, such as in the above analysis.
-
-The clear-sky analysis tends to provide less stable results than sensor-based
+Drift of weather sensors over time (particularly irradiance) can bias the results
+of this workflow. The preferred way to check for this is to also run the workflow using
+satellite-derived weather data such as the National Solar Radiation Database (NSRDB) and
+compare results to the sensor-based analysis. If satellite data is not available,
+a 'clear-sky' workflow is also available in RdTools. This workflow is based on modeled
+temperature and irradiance. Note that site irradiance data is still required to identify
+clear-sky conditions to be analyzed.
+
+Satellite and clear-sky analyses tend to provide less stable results than sensor-based
 analysis when details such as filtering are changed. We generally recommend
-that the clear-sky analysis be used as a check on the sensor-based results,
-rather than as a stand-alone analysis.
+that the these be used only as a check on the sensor-based results,
+rather than as stand-alone analyses.
 
 Soiling
 ^^^^^^^
 
-Soiling can be estimated with the stochastic rate and recovery (SRR)
-method (Deceglie 2018). This method works well when soiling patterns
-follow a "sawtooth" pattern, a linear decline followed by a sharp
-recovery associated with natural or manual cleaning.
+RdTools provides two methods for soiling analysis. The first is the
+stochastic rate and recovery (SRR) method (Deceglie 2018). This method works
+well when soiling patterns follow a "sawtooth" pattern, a linear decline followed
+by a sharp recovery associated with natural or manual cleaning.
 :py:func:`.soiling.soiling_srr` performs the calculation and returns the P50
 insolation-weighted soiling ratio, confidence interval, and additional
 information (``soiling_info``) which includes a summary of the soiling
@@ -97,6 +98,12 @@ identified soiling rates for the dataset.
    :width: 320
    :height: 216
 
+The combined estimation of degradation and soiling (CODS) method (Skomedal 2020) is also available
+in RdTools. CODS self-consistently extracts degradation, soiling, and seasonality
+of the daily-aggregated normalized performance signal. It is particularly useful
+when soiling trends are biasing degradation results. It's use is shown in both the TrendAnalysis
+example notebook as well as the funtional API example notebook for degradation and soiling. 
+
 TrendAnalysis
 ^^^^^^^^^^^^^
 An object-oriented API for complete soiling and degradation analysis including 
@@ -138,90 +145,26 @@ Alternatively it can be installed manually using the command line:
 2. Navigate to the repository: ``cd rdtools``
 3. Install via pip: ``pip install .``
 
-On some systems installation with ``pip`` can fail due to problems
+On some systems, installation with ``pip`` can fail due to problems
 installing requirements. If this occurs, the requirements specified in
 ``setup.py`` may need to be separately installed (for example by using
 ``conda``) before installing ``rdtools``.
 
 For more detailed instructions, see the :ref:`developer_notes` page.
 
-RdTools currently is tested on Python 3.7+.
+RdTools currently is tested on Python 3.9+.
 
 Usage and examples
 ------------------
 
 Full workflow examples are found in the notebooks in :ref:`examples`.
-The examples are designed to work with python 3.10. For a consistent
+The examples are designed to work with python 3.12. For a consistent
 experience, we recommend installing the packages and versions documented
 in ``docs/notebook_requirements.txt``. This can be achieved in your
 environment by first installing RdTools as described above, then running
 ``pip install -r docs/notebook_requirements.txt`` from the base
 directory.
 
-The following functions are used for degradation and soiling analysis:
-
-.. code:: python
-
-   import rdtools
-
-The most frequently used functions are:
-
-.. code:: python
-
-   normalization.normalize_with_expected_power(pv, power_expected, poa_global,
-                                               pv_input='power')
-     '''
-     Inputs: Pandas time series of raw power or energy, expected power, and
-        plane of array irradiance.
-     Outputs: Pandas time series of normalized energy and POA insolation
-     '''
-
-.. code:: python
-
-   filtering.poa_filter(poa_global); filtering.tcell_filter(temperature_cell); 
-   filtering.clip_filter(power_ac); filtering.logic_clip_filter(power_ac);
-   filtering.xgboost_clip_filter(power_ac); filtering.normalized_filter(energy_normalized);
-   filtering.csi_filter(poa_global_measured, poa_global_clearsky); 
-     '''
-     Inputs: Pandas time series of raw data to be filtered.
-     Output: Boolean mask where `True` indicates acceptable data
-     '''
-
-.. code:: python
-
-   aggregation.aggregation_insol(energy_normalized, insolation, frequency='D')
-     '''
-     Inputs: Normalized energy and insolation
-     Output: Aggregated data, weighted by the insolation.
-     '''
-
-.. code:: python
-
-   degradation.degradation_year_on_year(energy_normalized)
-     '''
-     Inputs: Aggregated, normalized, filtered time series data
-     Outputs: Tuple: `yoy_rd`: Degradation rate 
-       `yoy_ci`: Confidence interval `yoy_info`: associated analysis data
-     '''
-
-.. code:: python
-
-   soiling.soiling_srr(energy_normalized_daily, insolation_daily)
-     '''
-     Inputs: Daily aggregated, normalized, filtered time series data for normalized performance and insolation
-     Outputs: Tuple: `sr`: Insolation-weighted soiling ratio 
-       `sr_ci`: Confidence interval `soiling_info`: associated analysis data
-     '''
-
-.. code:: python
-
-   availability.AvailabilityAnalysis(power_system, power_subsystem,
-                                     energy_cumulative, power_expected)
-     '''
-     Inputs: Pandas time series system and subsystem power and energy data
-     Outputs: DataFrame of production loss and availability metrics
-     '''
-
 Documentation
 -------------
 
@@ -235,17 +178,16 @@ take one of several types, we document them using the type alises listed below:
    ``numeric``
       scalar or ``pandas.Series``. Typically int or float dtype.
 
-
 Citing RdTools
 --------------
 To cite RdTools, please use the following along with the version number
 and the specific DOI coresponding to that version from `Zenodo <https://doi.org/10.5281/zenodo.1210316>`_:
 
--  Michael G. Deceglie, Ambarish Nag, Adam Shinn, Gregory Kimball,
-   Daniel Ruth, Dirk Jordan, Jiyang Yan, Kevin Anderson, Kirsten Perry,
-   Mark Mikofski, Matthew Muller, Will Vining, and Chris Deline
-   RdTools, version {insert version}, Compuer Software,
-   https://github.com/NREL/rdtools. DOI:{insert DOI}
+-  Michael G. Deceglie, Kevin Anderson,  Adam Shinn, Ambarish Nag, Mark Mikofski,
+   Martin Springer, Jiyang Yan, Kirsten Perry, Sandra Villamar, Will Vining,
+   Gregory Kimball, Daniel Ruth, Noah Moyer, Quyen Nguyen, Dirk Jordan,
+   Matthew Muller, and Chris Deline, RdTools, version {insert version},
+   Compuer Software, https://github.com/NREL/rdtools. DOI:{insert DOI}
 
 The underlying workflow of RdTools has been published in several places.
 If you use RdTools in a published work, you may also wish to cite the following as
@@ -259,6 +201,10 @@ appropriate:
    Directly From PV Yield," in IEEE Journal of Photovoltaics, 8(2),
    pp. 547-551, 2018 DOI: `10.1109/JPHOTOV.2017.2784682 <https://doi.org/10.1109/JPHOTOV.2017.2784682>`_
 
+-  Åsmund Skomedal and Michael G. Deceglie, "Combined Estimation of Degradation and Soiling Losses in
+   Photovoltaic Systems," in IEEE Journal of Photovoltaics, 10(6) pp. 1788-1796, 2020.
+   DOI: `10.1109/JPHOTOV.2020.3018219 <https://doi.org/10.1109/JPHOTOV.2020.3018219>`_
+
 -  Kevin Anderson and Ryan Blumenthal, "Overcoming Communications Outages in
    Inverter Downtime Analysis", 2020 IEEE 47th Photovoltaic Specialists
    Conference (PVSC). DOI: `10.1109/PVSC45281.2020.9300635 <https://doi.org/10.1109/PVSC45281.2020.9300635>`_
@@ -267,7 +213,6 @@ appropriate:
    Detection Techniques in AC Power Time Series," 2021 IEEE 48th Photovoltaic
    Specialists Conference (PVSC), 2021, pp. 1638-1643, DOI: `10.1109/PVSC43889.2021.9518733 <https://doi.org/10.1109/PVSC43889.2021.9518733>`_
 
-
 References
 ----------
 
@@ -286,6 +231,9 @@ methodology include:
    methodology comparison — A basis for a standard", in 43rd IEEE
    Photovoltaic Specialists Conference, Portland, OR, USA, 2016, DOI:
    10.1109/PVSC.2016.7749593.
+-  M. G. Deceglie, K. Anderson, D. Fregosi, W.B. Hobbs, M.A. Mikofski,
+   M. Theristis, and B. E. Meyers, "Perspective: Performance Loss Rate in
+   Photovoltaic Systems", Sol. RRL, 7: 2300196. DOI: 10.1002/solr.202300196
 -  Jordan DC, Kurtz SR, VanSant KT, Newmiller J, Compendium of
    Photovoltaic Degradation Rates, Progress in Photovoltaics: Research
    and Application, 2016, 24(7), 978 - 989.
@@ -327,6 +275,5 @@ Indices and tables
 
 
 .. links and references
-
 .. _release: https://github.com/NREL/rdtools/releases
 .. _github: https://github.com/NREL/rdtools
diff --git a/docs/system_availability_example.ipynb b/docs/system_availability_example.ipynb
index 5a44b3ef5..7a44ee095 100644
--- a/docs/system_availability_example.ipynb
+++ b/docs/system_availability_example.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "# System availability example\n",
     "\n",
-    "This notebook shows example usage of the inverter availability functions.  As with the degradation and soiling example, we recommend installing the specific versions of packages used to develop this notebook. This can be achieved in your environment by running `pip install -r requirements.txt` followed by `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) These environments and examples are tested with Python 3.10.\n",
+    "This notebook shows example usage of the inverter availability functions.  As with the degradation and soiling example, we recommend installing the specific versions of packages used to develop this notebook. This can be achieved in your environment by running `pip install -r requirements.txt` followed by `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) These environments and examples are tested with Python 3.12.\n",
     "\n",
     "RdTools currently implements two methods of quantifying system availability.  The first method compares power measurements from inverters and the system meter to distinguish subsystem communication interruptions from true outage events.  The second method determines the uncertainty bounds around an energy estimate of a total system outage and compares with true production calculated from a meter's cumulative production measurements.  The RdTools `AvailabilityAnalysis` class uses both methods to quantify downtime loss.\n",
     "\n",
@@ -49,7 +49,7 @@
     "def make_dataset():\n",
     "    \"\"\"\n",
     "    Make an example dataset with several types of data outages for availability analysis.\n",
-    "    \n",
+    "\n",
     "    Returns\n",
     "    -------\n",
     "    df_reported : pd.DataFrame\n",
@@ -61,7 +61,7 @@
     "    expected_power : pd.Series\n",
     "        An \"expected\" power signal for this hypothetical PV system, simulating a\n",
     "        modeled power from satellite weather data or some other method.\n",
-    "    \n",
+    "\n",
     "    (This function creates instantaneous data. SystemAvailability is technically designed\n",
     "    to work with right-labeled averages. However, for the purposes of the example, the\n",
     "    approximation is suitable.)\n",
@@ -69,7 +69,7 @@
     "\n",
     "    # generate a plausible clear-sky power signal\n",
     "    times = pd.date_range('2019-01-01', '2019-01-12', freq='15min', tz='US/Eastern',\n",
-    "                          closed='left')\n",
+    "                          inclusive='left')\n",
     "    location = pvlib.location.Location(40, -80)\n",
     "    clearsky = location.get_clearsky(times, model='haurwitz')\n",
     "    # just scale GHI to power for simplicity\n",
@@ -100,7 +100,7 @@
     "    full_outage_date = '2019-01-08'\n",
     "    df_secret.loc[full_outage_date, :] = 0\n",
     "\n",
-    "    # calculate the system meter power and cumulative production, \n",
+    "    # calculate the system meter power and cumulative production,\n",
     "    # including the effect of the outages:\n",
     "    df_secret['meter_power'] = df_secret.sum(axis=1)\n",
     "    interval_energy = rdtools.energy_from_power(df_secret['meter_power'])\n",
@@ -112,7 +112,7 @@
     "    # calculate cumulative energy for an inverter as well:\n",
     "    inv2_energy = rdtools.energy_from_power(df_secret['inv2_power'])\n",
     "    df_secret['inv2_energy'] = inv2_energy.cumsum().fillna(0)\n",
-    "                                                         \n",
+    "\n",
     "    # now that the \"true\" data is in place, let's add some communications interruptions:\n",
     "    df_reported = df_secret.copy()\n",
     "    # in full outages, we lose all the data:\n",
@@ -139,7 +139,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 800x600 with 3 Axes>"
       ]
@@ -189,16 +189,7 @@
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/availability.py:17: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from rdtools.availability import AvailabilityAnalysis\n",
     "aa = AvailabilityAnalysis(\n",
@@ -208,7 +199,7 @@
     "    power_expected=expected_power,\n",
     ")\n",
     "# identify and classify outages, rolling up to daily metrics for this short dataset:\n",
-    "aa.run(rollup_period='D') "
+    "aa.run(rollup_period='D')"
    ]
   },
   {
@@ -220,7 +211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {
     "tags": [
      "nbsphinx-thumbnail"
@@ -231,28 +222,26 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:385: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n",
-      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
+      "/var/folders/ls/3vjh_45x2nd120557szqfcm8g4gf61/T/ipykernel_18955/689292658.py:3: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
+      "  fig.axes[1].legend(loc='upper left')\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
        "<Figure size 1600x700 with 4 Axes>"
       ]
      },
-     "execution_count": 12,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
     "fig = aa.plot()\n",
     "fig.set_size_inches(16, 7)\n",
     "fig.axes[1].legend(loc='upper left')\n",
-    "fig"
+    "plt.show()"
    ]
   },
   {
@@ -299,67 +288,67 @@
        "    <tr>\n",
        "      <th>2019-01-01 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>19606.785</td>\n",
+       "      <td>19604.252</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-02 00:00:00-05:00</th>\n",
-       "      <td>4114.031</td>\n",
-       "      <td>15583.450</td>\n",
+       "      <td>4113.505</td>\n",
+       "      <td>15581.457</td>\n",
        "      <td>0.791</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-03 00:00:00-05:00</th>\n",
-       "      <td>9396.788</td>\n",
-       "      <td>10399.112</td>\n",
+       "      <td>9395.599</td>\n",
+       "      <td>10397.796</td>\n",
        "      <td>0.525</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-04 00:00:00-05:00</th>\n",
-       "      <td>9466.477</td>\n",
-       "      <td>10476.235</td>\n",
+       "      <td>9465.191</td>\n",
+       "      <td>10474.811</td>\n",
        "      <td>0.525</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-05 00:00:00-05:00</th>\n",
-       "      <td>9522.325</td>\n",
-       "      <td>10538.040</td>\n",
+       "      <td>9521.047</td>\n",
+       "      <td>10536.625</td>\n",
        "      <td>0.525</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-06 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>20185.784</td>\n",
+       "      <td>20183.110</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-07 00:00:00-05:00</th>\n",
-       "      <td>2859.565</td>\n",
-       "      <td>17459.339</td>\n",
+       "      <td>2859.178</td>\n",
+       "      <td>17457.072</td>\n",
        "      <td>0.859</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-08 00:00:00-05:00</th>\n",
-       "      <td>19448.084</td>\n",
+       "      <td>19445.360</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-09 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>20607.950</td>\n",
+       "      <td>20605.339</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-10 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>20763.718</td>\n",
+       "      <td>20761.130</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2019-01-11 00:00:00-05:00</th>\n",
        "      <td>0.000</td>\n",
-       "      <td>20926.869</td>\n",
+       "      <td>20924.306</td>\n",
        "      <td>1.000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -368,17 +357,17 @@
       ],
       "text/plain": [
        "                           lost_production  actual_production  availability\n",
-       "2019-01-01 00:00:00-05:00            0.000          19606.785         1.000\n",
-       "2019-01-02 00:00:00-05:00         4114.031          15583.450         0.791\n",
-       "2019-01-03 00:00:00-05:00         9396.788          10399.112         0.525\n",
-       "2019-01-04 00:00:00-05:00         9466.477          10476.235         0.525\n",
-       "2019-01-05 00:00:00-05:00         9522.325          10538.040         0.525\n",
-       "2019-01-06 00:00:00-05:00            0.000          20185.784         1.000\n",
-       "2019-01-07 00:00:00-05:00         2859.565          17459.339         0.859\n",
-       "2019-01-08 00:00:00-05:00        19448.084              0.000         0.000\n",
-       "2019-01-09 00:00:00-05:00            0.000          20607.950         1.000\n",
-       "2019-01-10 00:00:00-05:00            0.000          20763.718         1.000\n",
-       "2019-01-11 00:00:00-05:00            0.000          20926.869         1.000"
+       "2019-01-01 00:00:00-05:00            0.000          19604.252         1.000\n",
+       "2019-01-02 00:00:00-05:00         4113.505          15581.457         0.791\n",
+       "2019-01-03 00:00:00-05:00         9395.599          10397.796         0.525\n",
+       "2019-01-04 00:00:00-05:00         9465.191          10474.811         0.525\n",
+       "2019-01-05 00:00:00-05:00         9521.047          10536.625         0.525\n",
+       "2019-01-06 00:00:00-05:00            0.000          20183.110         1.000\n",
+       "2019-01-07 00:00:00-05:00         2859.178          17457.072         0.859\n",
+       "2019-01-08 00:00:00-05:00        19445.360              0.000         0.000\n",
+       "2019-01-09 00:00:00-05:00            0.000          20605.339         1.000\n",
+       "2019-01-10 00:00:00-05:00            0.000          20761.130         1.000\n",
+       "2019-01-11 00:00:00-05:00            0.000          20924.306         1.000"
       ]
      },
      "execution_count": 6,
@@ -387,7 +376,7 @@
     }
    ],
    "source": [
-    "pd.set_option('precision', 3)\n",
+    "pd.set_option('display.precision', 3)\n",
     "aa.results"
    ]
   },
@@ -476,7 +465,7 @@
     }
    ],
    "source": [
-    "pd.set_option('precision', 2)\n",
+    "pd.set_option('display.precision', 2)\n",
     "# Show the first half of the dataframe\n",
     "N = len(aa.outage_info.columns)\n",
     "aa.outage_info.iloc[:, :N//2]"
@@ -521,23 +510,23 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>19448.08</td>\n",
-       "      <td>604248.74</td>\n",
-       "      <td>604248.74</td>\n",
+       "      <td>19445.36</td>\n",
+       "      <td>604235.12</td>\n",
+       "      <td>604235.12</td>\n",
        "      <td>0.00</td>\n",
-       "      <td>14819.33</td>\n",
-       "      <td>24271.15</td>\n",
+       "      <td>14817.11</td>\n",
+       "      <td>24267.92</td>\n",
        "      <td>real</td>\n",
-       "      <td>19448.08</td>\n",
+       "      <td>19445.36</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>25284.75</td>\n",
-       "      <td>624856.69</td>\n",
-       "      <td>645620.41</td>\n",
-       "      <td>20763.72</td>\n",
-       "      <td>19266.84</td>\n",
-       "      <td>31555.29</td>\n",
+       "      <td>25282.20</td>\n",
+       "      <td>624840.46</td>\n",
+       "      <td>645601.59</td>\n",
+       "      <td>20761.13</td>\n",
+       "      <td>19264.71</td>\n",
+       "      <td>31552.34</td>\n",
        "      <td>comms</td>\n",
        "      <td>0.00</td>\n",
        "    </tr>\n",
@@ -547,12 +536,12 @@
       ],
       "text/plain": [
        "   energy_expected  energy_start  energy_end  energy_actual  ci_lower  \\\n",
-       "0         19448.08     604248.74   604248.74           0.00  14819.33   \n",
-       "1         25284.75     624856.69   645620.41       20763.72  19266.84   \n",
+       "0         19445.36     604235.12   604235.12           0.00  14817.11   \n",
+       "1         25282.20     624840.46   645601.59       20761.13  19264.71   \n",
        "\n",
        "   ci_upper   type      loss  \n",
-       "0  24271.15   real  19448.08  \n",
-       "1  31555.29  comms      0.00  "
+       "0  24267.92   real  19445.36  \n",
+       "1  31552.34  comms      0.00  "
       ]
      },
      "execution_count": 8,
@@ -585,12 +574,12 @@
      "text": [
       "2019-01-01 00:00:00-05:00        0.00\n",
       "2019-01-02 00:00:00-05:00        0.00\n",
-      "2019-01-03 00:00:00-05:00     9931.24\n",
-      "2019-01-04 00:00:00-05:00    11453.27\n",
-      "2019-01-05 00:00:00-05:00    11238.57\n",
+      "2019-01-03 00:00:00-05:00     9930.06\n",
+      "2019-01-04 00:00:00-05:00    11452.05\n",
+      "2019-01-05 00:00:00-05:00    11237.35\n",
       "2019-01-06 00:00:00-05:00        0.00\n",
       "2019-01-07 00:00:00-05:00        0.00\n",
-      "2019-01-08 00:00:00-05:00     9505.33\n",
+      "2019-01-08 00:00:00-05:00     9504.05\n",
       "2019-01-09 00:00:00-05:00        0.00\n",
       "2019-01-10 00:00:00-05:00        0.00\n",
       "2019-01-11 00:00:00-05:00        0.00\n",
@@ -617,34 +606,32 @@
    "execution_count": 10,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:385: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 4 Axes>"
       ]
      },
-     "execution_count": 10,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "aa2.plot()"
+    "aa2.plot();"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -658,7 +645,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/rdtools/__init__.py b/rdtools/__init__.py
index c6e0b5755..2cd286b00 100644
--- a/rdtools/__init__.py
+++ b/rdtools/__init__.py
@@ -1,4 +1,3 @@
-from rdtools.normalization import normalize_with_sapm
 from rdtools.normalization import normalize_with_pvwatts
 from rdtools.normalization import irradiance_rescale
 from rdtools.normalization import energy_from_power
@@ -9,7 +8,9 @@
 from rdtools.degradation import degradation_year_on_year
 from rdtools.aggregation import aggregation_insol
 from rdtools.clearsky_temperature import get_clearsky_tamb
+from rdtools.filtering import clearsky_filter
 from rdtools.filtering import csi_filter
+from rdtools.filtering import pvlib_clearsky_filter
 from rdtools.filtering import poa_filter
 from rdtools.filtering import tcell_filter
 from rdtools.filtering import clip_filter
@@ -17,18 +18,27 @@
 from rdtools.filtering import logic_clip_filter
 from rdtools.filtering import xgboost_clip_filter
 from rdtools.filtering import normalized_filter
+from rdtools.filtering import two_way_window_filter
+from rdtools.filtering import insolation_filter
+from rdtools.filtering import hampel_filter
+from rdtools.filtering import hour_angle_filter
+from rdtools.filtering import directional_tukey_filter
 # from rdtools.soiling import soiling_srr
+# from rdtools.soiling import soiling_cods
 # from rdtools.soiling import monthly_soiling_rates
 # from rdtools.soiling import annual_soiling_ratios
 from rdtools.analysis_chains import TrendAnalysis
 from rdtools.plotting import degradation_summary_plots
 from rdtools.plotting import tune_filter_plot
+from rdtools.plotting import degradation_timeseries_plot
 # from rdtools.plotting import soiling_monte_carlo_plot
 # from rdtools.plotting import soiling_interval_plot
 # from rdtools.plotting import soiling_rate_histogram
-# from rdtools.plotting import availability_summary_plots
-# from rdtools.availability import AvailabilityAnalysis
+from rdtools.plotting import availability_summary_plots
+from rdtools.availability import AvailabilityAnalysis
+from rdtools.utilities import robust_quantile
+from rdtools.utilities import robust_median
+from rdtools.utilities import robust_mean
 
-from ._version import get_versions
-__version__ = get_versions()['version']
-del get_versions
+from . import _version
+__version__ = _version.get_versions()['version']
diff --git a/rdtools/_version.py b/rdtools/_version.py
index 77d436322..2656d62e8 100644
--- a/rdtools/_version.py
+++ b/rdtools/_version.py
@@ -5,8 +5,9 @@
 # directories (produced by setup.py build) will contain a much shorter file
 # that just contains the computed version number.
 
-# This file is released into the public domain. Generated by
-# versioneer-0.18 (https://github.com/warner/python-versioneer)
+# This file is released into the public domain.
+# Generated by versioneer-0.29
+# https://github.com/python-versioneer/python-versioneer
 
 """Git implementation of _version.py."""
 
@@ -15,9 +16,11 @@
 import re
 import subprocess
 import sys
+from typing import Any, Callable, Dict, List, Optional, Tuple
+import functools
 
 
-def get_keywords():
+def get_keywords() -> Dict[str, str]:
     """Get the keywords needed to look up the version information."""
     # these strings will be replaced by git during git-archive.
     # setup.py/versioneer.py will grep for the variable names, so they must
@@ -33,8 +36,15 @@ def get_keywords():
 class VersioneerConfig:
     """Container for Versioneer configuration parameters."""
 
+    VCS: str
+    style: str
+    tag_prefix: str
+    parentdir_prefix: str
+    versionfile_source: str
+    verbose: bool
 
-def get_config():
+
+def get_config() -> VersioneerConfig:
     """Create, populate and return the VersioneerConfig() object."""
     # these strings are filled in when 'setup.py versioneer' creates
     # _version.py
@@ -52,13 +62,13 @@ class NotThisMethod(Exception):
     """Exception raised if a method is not valid for the current scenario."""
 
 
-LONG_VERSION_PY = {}
-HANDLERS = {}
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
 
 
-def register_vcs_handler(vcs, method):  # decorator
-    """Decorator to mark a method as the handler for a particular VCS."""
-    def decorate(f):
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
         """Store f in HANDLERS[vcs][method]."""
         if vcs not in HANDLERS:
             HANDLERS[vcs] = {}
@@ -67,22 +77,35 @@ def decorate(f):
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
     """Call the given command(s)."""
     assert isinstance(commands, list)
-    p = None
-    for c in commands:
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
         try:
-            dispcmd = str([c] + args)
+            dispcmd = str([command] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
-                                 stdout=subprocess.PIPE,
-                                 stderr=(subprocess.PIPE if hide_stderr
-                                         else None))
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
             break
-        except EnvironmentError:
-            e = sys.exc_info()[1]
+        except OSError as e:
             if e.errno == errno.ENOENT:
                 continue
             if verbose:
@@ -93,18 +116,20 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
         if verbose:
             print("unable to find command, tried %s" % (commands,))
         return None, None
-    stdout = p.communicate()[0].strip()
-    if sys.version_info[0] >= 3:
-        stdout = stdout.decode()
-    if p.returncode != 0:
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
         if verbose:
             print("unable to run %s (error)" % dispcmd)
             print("stdout was %s" % stdout)
-        return None, p.returncode
-    return stdout, p.returncode
+        return None, process.returncode
+    return stdout, process.returncode
 
 
-def versions_from_parentdir(parentdir_prefix, root, verbose):
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Try to determine the version from the parent directory name.
 
     Source tarballs conventionally unpack into a directory that includes both
@@ -113,15 +138,14 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     """
     rootdirs = []
 
-    for i in range(3):
+    for _ in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
             return {"version": dirname[len(parentdir_prefix):],
                     "full-revisionid": None,
                     "dirty": False, "error": None, "date": None}
-        else:
-            rootdirs.append(root)
-            root = os.path.dirname(root)  # up a level
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
 
     if verbose:
         print("Tried directories %s but none started with prefix %s" %
@@ -130,41 +154,48 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
 
 
 @register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
     """Extract version information from the given file."""
     # the code embedded in _version.py can just fetch the value of these
     # keywords. When used from setup.py, we don't want to import _version.py,
     # so we do it with a regexp instead. This function is not used from
     # _version.py.
-    keywords = {}
+    keywords: Dict[str, str] = {}
     try:
-        f = open(versionfile_abs, "r")
-        for line in f.readlines():
-            if line.strip().startswith("git_refnames ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["refnames"] = mo.group(1)
-            if line.strip().startswith("git_full ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["full"] = mo.group(1)
-            if line.strip().startswith("git_date ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["date"] = mo.group(1)
-        f.close()
-    except EnvironmentError:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
         pass
     return keywords
 
 
 @register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Get version information from git keywords."""
-    if not keywords:
-        raise NotThisMethod("no keywords at all, weird")
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
     date = keywords.get("date")
     if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
         # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
         # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
         # -like" string, which we must then edit to make compliant), because
@@ -177,11 +208,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         if verbose:
             print("keywords are unexpanded, not using")
         raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %d
@@ -190,7 +221,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r'\d', r)])
+        tags = {r for r in refs if re.search(r'\d', r)}
         if verbose:
             print("discarding '%s', no digits" % ",".join(refs - tags))
     if verbose:
@@ -199,6 +230,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
             r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
             if verbose:
                 print("picking %s" % r)
             return {"version": r,
@@ -214,7 +250,12 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
     """Get version from 'git describe' in the root of the source tree.
 
     This only gets called if the git-archive 'subst' keywords were *not*
@@ -225,8 +266,15 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                          hide_stderr=True)
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
     if rc != 0:
         if verbose:
             print("Directory %s not under git control" % root)
@@ -234,24 +282,57 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
-                                          "--always", "--long",
-                                          "--match", "%s*" % tag_prefix],
-                                   cwd=root)
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
     describe_out = describe_out.strip()
-    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
     if full_out is None:
         raise NotThisMethod("'git rev-parse' failed")
     full_out = full_out.strip()
 
-    pieces = {}
+    pieces: Dict[str, Any] = {}
     pieces["long"] = full_out
     pieces["short"] = full_out[:7]  # maybe improved later
     pieces["error"] = None
 
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
     # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
     # TAG might have hyphens.
     git_describe = describe_out
@@ -268,7 +349,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
         # TAG-NUM-gHEX
         mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
         if not mo:
-            # unparseable. Maybe git-describe is misbehaving?
+            # unparsable. Maybe git-describe is misbehaving?
             pieces["error"] = ("unable to parse git-describe output: '%s'"
                                % describe_out)
             return pieces
@@ -293,26 +374,27 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
-                                    cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
-                       cwd=root)[0].strip()
+    date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."
     return "+"
 
 
-def render_pep440(pieces):
+def render_pep440(pieces: Dict[str, Any]) -> str:
     """Build up version string, with post-release "local version identifier".
 
     Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
@@ -337,23 +419,71 @@ def render_pep440(pieces):
     return rendered
 
 
-def render_pep440_pre(pieces):
-    """TAG[.post.devDISTANCE] -- No -dirty.
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
 
     Exceptions:
-    1: no tags. 0.post.devDISTANCE
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
     """
     if pieces["closest-tag"]:
         rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
         if pieces["distance"]:
-            rendered += ".post.dev%d" % pieces["distance"]
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%d.dev%d" % (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%d" % (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
     else:
         # exception #1
-        rendered = "0.post.dev%d" % pieces["distance"]
+        rendered = "0.post0.dev%d" % pieces["distance"]
     return rendered
 
 
-def render_pep440_post(pieces):
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]+gHEX] .
 
     The ".dev0" means dirty. Note that .dev0 sorts backwards
@@ -380,12 +510,41 @@ def render_pep440_post(pieces):
     return rendered
 
 
-def render_pep440_old(pieces):
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]] .
 
     The ".dev0" means dirty.
 
-    Eexceptions:
+    Exceptions:
     1: no tags. 0.postDISTANCE[.dev0]
     """
     if pieces["closest-tag"]:
@@ -402,7 +561,7 @@ def render_pep440_old(pieces):
     return rendered
 
 
-def render_git_describe(pieces):
+def render_git_describe(pieces: Dict[str, Any]) -> str:
     """TAG[-DISTANCE-gHEX][-dirty].
 
     Like 'git describe --tags --dirty --always'.
@@ -422,7 +581,7 @@ def render_git_describe(pieces):
     return rendered
 
 
-def render_git_describe_long(pieces):
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
     """TAG-DISTANCE-gHEX[-dirty].
 
     Like 'git describe --tags --dirty --always -long'.
@@ -442,7 +601,7 @@ def render_git_describe_long(pieces):
     return rendered
 
 
-def render(pieces, style):
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
         return {"version": "unknown",
@@ -456,10 +615,14 @@ def render(pieces, style):
 
     if style == "pep440":
         rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
     elif style == "pep440-pre":
         rendered = render_pep440_pre(pieces)
     elif style == "pep440-post":
         rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
     elif style == "pep440-old":
         rendered = render_pep440_old(pieces)
     elif style == "git-describe":
@@ -474,7 +637,7 @@ def render(pieces, style):
             "date": pieces.get("date")}
 
 
-def get_versions():
+def get_versions() -> Dict[str, Any]:
     """Get version information or return default if unable to do so."""
     # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
     # __file__, we can work backwards from there to the root. Some
@@ -495,7 +658,7 @@ def get_versions():
         # versionfile_source is the relative path from the top of the source
         # tree (where the .git directory might live) to this file. Invert
         # this to find the root from __file__.
-        for i in cfg.versionfile_source.split('/'):
+        for _ in cfg.versionfile_source.split('/'):
             root = os.path.dirname(root)
     except NameError:
         return {"version": "0+unknown", "full-revisionid": None,
diff --git a/rdtools/aggregation.py b/rdtools/aggregation.py
index 69e0b48a0..4116c9131 100644
--- a/rdtools/aggregation.py
+++ b/rdtools/aggregation.py
@@ -22,7 +22,7 @@ def aggregation_insol(energy_normalized, insolation, frequency='D'):
     aggregated : pandas.Series
         Insolation weighted average, aggregated at frequency
     '''
-    aggregated = (insolation * energy_normalized).resample(frequency).sum() / \
-        insolation.resample(frequency).sum()
+    aggregated = (insolation * energy_normalized).resample(frequency, origin='start_day').sum() / \
+        insolation.resample(frequency, origin='start_day').sum()
 
     return aggregated
diff --git a/rdtools/analysis_chains.py b/rdtools/analysis_chains.py
index 54590d01c..e64ac4ec1 100644
--- a/rdtools/analysis_chains.py
+++ b/rdtools/analysis_chains.py
@@ -1,18 +1,19 @@
-'''
+"""
 This module contains functions and classes for object-oriented
 end-to-end analysis
-'''
+"""
+
 import pvlib
 import pandas as pd
 import numpy as np
 import matplotlib.pyplot as plt
 from rdtools import normalization, filtering, aggregation, degradation
-from rdtools import clearsky_temperature, plotting
+from rdtools import clearsky_temperature, plotting, utilities
 import warnings
 
 
-class TrendAnalysis():
-    '''
+class TrendAnalysis:
+    """
     Class for end-to-end degradation and soiling analysis using
     :py:meth:`~rdtools.TrendAnalysis.sensor_analysis` or
     :py:meth:`~rdtools.TrendAnalysis.clearsky_analysis`
@@ -68,46 +69,76 @@ class TrendAnalysis():
     ----------
     (not all attributes documented here)
     filter_params: dict
-        parameters to be passed to rdtools.filtering functions. Keys are the
+        Parameters to be passed to rdtools.filtering functions. Keys are the
         names of the rdtools.filtering functions. Values are dicts of parameters
-        to be passed to those functions. Also has a special key `ad_hoc_filter`
-        the associated value is a boolean mask joined with the rest of the filters.
-        filter_params defaults to empty dicts for each function in rdtools.filtering,
-        in which case those functions use default parameter values,  `ad_hoc_filter`
+        to be passed to those functions. Allowed keys are `normalized_filter`*,
+        `poa_filter`*, `tcell_filter`*, `clip_filter`*, `hour_angle_filter`,
+        `clearsky_filter`* (only used in a clear sky analysis), and
+        `sensor_clearsky_filter` (only used in a sensor analysis). (* indicates a
+        filter included by default). To invoke `clearsky_filter` for a sensor
+        analysis, use the special key `sensor_clearsky_filter`. Also has a special
+        key `ad_hoc_filter`, the associated value is a boolean mask joined with the
+        rest of the filters. Defaults to empty dicts for each function as described
+        above, in which case those functions use default parameter values,
+        `ad_hoc_filter` defaults to None. See examples for more information.
+    filter_params_aggregated: dict
+        parameters to be passed to rdtools.filtering functions that specifically handle
+        aggregated data (daily filters, etc). Keys are the names of rdtools.filtering
+        functions. Allowed keys are `two_way_window_filter`*, `insolation_filter`,
+        `hampel_filter`, and `directional_tukey_filter` (* indicates filters included by
+        default). Values are dicts of parameters to be passed to those functions (empty
+        dict calls the funtion with its default parameters). Also has a special key
+        `ad_hoc_filter`; this filter is a boolean mask joined with the rest of the filters.
+        filter_params_aggregated defaults to an empty dict for two_way_window_filter,
+        in which case the filter is run with its default parameter values. `ad_hoc_filter`
         defaults to None. See examples for more information.
     results : dict
         Nested dict used to store the results of methods ending with `_analysis`
-    '''
-
-    def __init__(self, pv, poa_global=None, temperature_cell=None, temperature_ambient=None,
-                 gamma_pdc=None, aggregation_freq='D', pv_input='power',
-                 windspeed=0, power_expected=None, temperature_model=None,
-                 power_dc_rated=None, interp_freq=None, max_timedelta=None):
+    """
+
+    def __init__(
+        self,
+        pv,
+        poa_global=None,
+        temperature_cell=None,
+        temperature_ambient=None,
+        gamma_pdc=None,
+        aggregation_freq="D",
+        pv_input="power",
+        windspeed=0,
+        power_expected=None,
+        temperature_model=None,
+        power_dc_rated=None,
+        interp_freq=None,
+        max_timedelta=None,
+    ):
 
         if interp_freq is not None:
             pv = normalization.interpolate(pv, interp_freq, max_timedelta)
 
         if poa_global is not None:
-            poa_global = normalization.interpolate(
-                poa_global, pv.index, max_timedelta)
+            poa_global = normalization.interpolate(poa_global, pv.index, max_timedelta)
         if temperature_cell is not None:
             temperature_cell = normalization.interpolate(
-                temperature_cell, pv.index, max_timedelta)
+                temperature_cell, pv.index, max_timedelta
+            )
         if temperature_ambient is not None:
             temperature_ambient = normalization.interpolate(
-                temperature_ambient, pv.index, max_timedelta)
+                temperature_ambient, pv.index, max_timedelta
+            )
         if power_expected is not None:
             power_expected = normalization.interpolate(
-                power_expected, pv.index, max_timedelta)
+                power_expected, pv.index, max_timedelta
+            )
         if isinstance(windspeed, pd.Series):
-            windspeed = normalization.interpolate(
-                windspeed, pv.index, max_timedelta)
+            windspeed = normalization.interpolate(windspeed, pv.index, max_timedelta)
 
-        if pv_input == 'power':
+        if pv_input == "power":
             self.pv_power = pv
             self.pv_energy = normalization.energy_from_power(
-                pv, max_timedelta=max_timedelta)
-        elif pv_input == 'energy':
+                pv, max_timedelta=max_timedelta
+            )
+        elif pv_input == "energy":
             self.pv_power = None
             self.pv_energy = pv
 
@@ -124,24 +155,92 @@ def __init__(self, pv, poa_global=None, temperature_cell=None, temperature_ambie
         self.max_timedelta = max_timedelta
         self.results = {}
 
-        # Initialize to use default filter parameters
-        self.filter_params = {
-            'normalized_filter': {},
-            'poa_filter': {},
-            'tcell_filter': {},
-            'clip_filter': {},
-            'csi_filter': {},
-            'ad_hoc_filter': None  # use this to include an explict filter
+        # Define valid filter parameters
+        self.valid_filter_params = [
+            "normalized_filter",
+            "poa_filter",
+            "tcell_filter",
+            "clip_filter",
+            "hour_angle_filter",
+            "clearsky_filter",
+            "sensor_clearsky_filter",
+            "ad_hoc_filter",
+        ]
+
+        self.valid_filter_params_aggregated = [
+            "two_way_window_filter",
+            "insolation_filter",
+            "hampel_filter",
+            "directional_tukey_filter",
+            "ad_hoc_filter",
+        ]
+
+        # Define default filter parameters
+        self.default_filter_params = {
+            "normalized_filter": {},
+            "poa_filter": {},
+            "tcell_filter": {},
+            "clip_filter": {},
+            "clearsky_filter": {},
+            "ad_hoc_filter": None,  # use this to include an explict filter
+        }
+
+        self.default_filter_params_aggregated = {
+            "two_way_window_filter": {},
+            "ad_hoc_filter": None,
         }
+
+        # Initialize to use default filter parameters
+        self._filter_params = ValidatedFilterDict(
+            self.valid_filter_params, self.default_filter_params
+        )
+        self._filter_params_aggregated = ValidatedFilterDict(
+            self.valid_filter_params_aggregated, self.default_filter_params_aggregated
+        )
         # remove tcell_filter from list if power_expected is passed in
         if power_expected is not None and temperature_cell is None:
-            del self.filter_params['tcell_filter']
-
-    def set_clearsky(self, pvlib_location=None, pv_azimuth=None, pv_tilt=None,
-                     poa_global_clearsky=None, temperature_cell_clearsky=None,
-                     temperature_ambient_clearsky=None, albedo=0.25,
-                     solar_position_method='nrel_numpy'):
-        '''
+            del self.filter_params["tcell_filter"]
+
+    @property
+    def filter_params(self):
+        return self._filter_params
+
+    @filter_params.setter
+    def filter_params(self, new_filter_params):
+        if not isinstance(new_filter_params, dict):
+            raise ValueError("Attribute `filter_params` must be a dictionary.")
+
+        # If dictionary passed, check the new filter_params and set new filters.
+        self._filter_params = ValidatedFilterDict(self.valid_filter_params, new_filter_params)
+        print(f"Attribute `filter_params` changed to: {new_filter_params}")
+
+    @property
+    def filter_params_aggregated(self):
+        return self._filter_params_aggregated
+
+    @filter_params_aggregated.setter
+    def filter_params_aggregated(self, new_filter_params_aggregated):
+        if not (isinstance(new_filter_params_aggregated, dict) or None):
+            raise ValueError("Attribute `filter_params_aggregated` must be a dictionary.")
+
+        # If dictionary passed, check the new filter_params and set new filters.
+        self._filter_params_aggregated = ValidatedFilterDict(
+            self.valid_filter_params_aggregated, new_filter_params_aggregated
+        )
+        print(f"Attribute `filter_params_aggregated` changed to: {new_filter_params_aggregated}")
+
+    def set_clearsky(
+        self,
+        pvlib_location=None,
+        pv_azimuth=None,
+        pv_tilt=None,
+        poa_global_clearsky=None,
+        temperature_cell_clearsky=None,
+        temperature_ambient_clearsky=None,
+        albedo=0.25,
+        solar_position_method="nrel_numpy",
+    ):
+        """
         Initialize values for a clearsky analysis which requires configuration
         of location and orientation details. If optional parameters `poa_global_clearsky`,
         `temperature_ambient_clearsky` are not passed, they will be modeled
@@ -172,24 +271,29 @@ def set_clearsky(self, pvlib_location=None, pv_azimuth=None, pv_tilt=None,
         solar_position_method : str, default 'nrel_numpy'
             Optional method name to pass to :py:func:`pvlib.solarposition.get_solarposition`.
             Switching methods may improve calculation time.
-        '''
+        """
         max_timedelta = self.max_timedelta
 
         if poa_global_clearsky is not None:
             poa_global_clearsky = normalization.interpolate(
-                poa_global_clearsky, self.pv_energy.index, max_timedelta)
+                poa_global_clearsky, self.pv_energy.index, max_timedelta
+            )
         if temperature_cell_clearsky is not None:
             temperature_cell_clearsky = normalization.interpolate(
-                temperature_cell_clearsky, self.pv_energy.index, max_timedelta)
+                temperature_cell_clearsky, self.pv_energy.index, max_timedelta
+            )
         if temperature_ambient_clearsky is not None:
             temperature_ambient_clearsky = normalization.interpolate(
-                temperature_ambient_clearsky, self.pv_energy.index, max_timedelta)
+                temperature_ambient_clearsky, self.pv_energy.index, max_timedelta
+            )
         if isinstance(pv_azimuth, (pd.Series, pd.DataFrame)):
             pv_azimuth = normalization.interpolate(
-                pv_azimuth, self.pv_energy.index, max_timedelta)
+                pv_azimuth, self.pv_energy.index, max_timedelta
+            )
         if isinstance(pv_tilt, (pd.Series, pd.DataFrame)):
             pv_tilt = normalization.interpolate(
-                pv_tilt, self.pv_energy.index, max_timedelta)
+                pv_tilt, self.pv_energy.index, max_timedelta
+            )
 
         self.pvlib_location = pvlib_location
         self.pv_azimuth = pv_azimuth
@@ -201,7 +305,7 @@ def set_clearsky(self, pvlib_location=None, pv_azimuth=None, pv_tilt=None,
         self.solar_position_method = solar_position_method
 
     def _calc_clearsky_poa(self, times=None, rescale=True, **kwargs):
-        '''
+        """
         Calculate clearsky plane-of-array irradiance and stores in self.poa_global_clearsky
 
         Parameters
@@ -218,42 +322,46 @@ def _calc_clearsky_poa(self, times=None, rescale=True, **kwargs):
         Returns
         -------
         None
-        '''
+        """
         aggregate = False
         if times is None:
-            times = pd.date_range(self.poa_global.index.min(), self.poa_global.index.max(),
-                                  freq='1min')
+            times = pd.date_range(
+                self.poa_global.index.min(), self.poa_global.index.max(), freq="1min"
+            )
             aggregate = True
 
-        if self.pvlib_location is None:
-            raise ValueError(
-                'pvlib location must be provided using set_clearsky()')
-        if self.pv_tilt is None or self.pv_azimuth is None:
+        if not hasattr(self, "pvlib_location"):
+            raise ValueError("pvlib location must be provided using set_clearsky()")
+        if not hasattr(self, "pv_tilt") or not hasattr(self, "pv_azimuth"):
             raise ValueError(
-                'pv_tilt and pv_azimuth must be provided using set_clearsky()')
+                "pv_tilt and pv_azimuth must be provided using set_clearsky()"
+            )
 
         loc = self.pvlib_location
         solar_position_kwargs = {}
         if self.solar_position_method:
-            solar_position_kwargs['method'] = self.solar_position_method
+            solar_position_kwargs["method"] = self.solar_position_method
         sun = loc.get_solarposition(times, **solar_position_kwargs)
         clearsky = loc.get_clearsky(times, solar_position=sun)
 
         clearsky_poa = pvlib.irradiance.get_total_irradiance(
             self.pv_tilt,
             self.pv_azimuth,
-            sun['apparent_zenith'],
-            sun['azimuth'],
-            clearsky['dni'],
-            clearsky['ghi'],
-            clearsky['dhi'],
+            sun["apparent_zenith"],
+            sun["azimuth"],
+            clearsky["dni"],
+            clearsky["ghi"],
+            clearsky["dhi"],
             albedo=self.albedo,
-            **kwargs)
-        clearsky_poa = clearsky_poa['poa_global']
+            **kwargs,
+        )
+        clearsky_poa = clearsky_poa["poa_global"]
 
         if aggregate:
-            interval_id = pd.Series(range(len(self.poa_global)), index=self.poa_global.index)
-            interval_id = interval_id.reindex(times, method='backfill')
+            interval_id = pd.Series(
+                range(len(self.poa_global)), index=self.poa_global.index
+            )
+            interval_id = interval_id.reindex(times, method="backfill")
             clearsky_poa = clearsky_poa.groupby(interval_id).mean()
             clearsky_poa.index = self.poa_global.index
             clearsky_poa.iloc[0] = np.nan
@@ -261,15 +369,17 @@ def _calc_clearsky_poa(self, times=None, rescale=True, **kwargs):
         if rescale is True:
             if not clearsky_poa.index.equals(self.poa_global.index):
                 raise ValueError(
-                    'rescale=True can only be used when clearsky poa is on same index as poa')
+                    "rescale=True can only be used when clearsky poa is on same index as poa"
+                )
 
             clearsky_poa = normalization.irradiance_rescale(
-                self.poa_global, clearsky_poa, method='iterative')
+                self.poa_global, clearsky_poa, method="iterative"
+            )
 
         self.poa_global_clearsky = clearsky_poa
 
     def _calc_cell_temperature(self, poa_global, temperature_ambient, windspeed):
-        '''
+        """
         Return cell temperature calculated from ambient conditions.
 
         Parameters
@@ -285,7 +395,7 @@ def _calc_cell_temperature(self, poa_global, temperature_ambient, windspeed):
         -------
         numeric
             calculated cell temperature
-        '''
+        """
 
         try:  # workflow for pvlib >= 0.7
 
@@ -294,44 +404,50 @@ def _calc_cell_temperature(self, poa_global, temperature_ambient, windspeed):
 
             # check if self.temperature_model is a string or dict with keys 'a', 'b' and 'deltaT'
             if isinstance(self.temperature_model, str):
-                model_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS[
-                    'sapm'][self.temperature_model]
-            elif (isinstance(self.temperature_model, dict) &
-                  ('a' in self.temperature_model) &
-                  ('b' in self.temperature_model) &
-                  ('deltaT' in self.temperature_model)):
+                model_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS["sapm"][
+                    self.temperature_model
+                ]
+            elif (
+                isinstance(self.temperature_model, dict)
+                & ("a" in self.temperature_model)
+                & ("b" in self.temperature_model)
+                & ("deltaT" in self.temperature_model)
+            ):
                 model_params = self.temperature_model
             else:
-                raise ValueError('pvlib temperature_model entry is neither '
-                                 'a string nor a dictionary with correct '
-                                 'entries. Try "open_rack_glass_polymer"')
-            cell_temp = pvlib.temperature.sapm_cell(poa_global=poa_global,
-                                                    temp_air=temperature_ambient,
-                                                    wind_speed=windspeed,
-                                                    **model_params
-                                                    )
+                raise ValueError(
+                    "pvlib temperature_model entry is neither "
+                    "a string nor a dictionary with correct "
+                    'entries. Try "open_rack_glass_polymer"'
+                )
+            cell_temp = pvlib.temperature.sapm_cell(
+                poa_global=poa_global,
+                temp_air=temperature_ambient,
+                wind_speed=windspeed,
+                **model_params,
+            )
         except AttributeError as e:
-            print('Error: PVLib > 0.7 required')
+            print("Error: PVLib > 0.7 required")
             raise e
         return cell_temp
 
     def _calc_clearsky_tamb(self):
-        '''
+        """
         Calculate clear-sky ambient temperature and store in self.temperature_ambient_clearsky
-        '''
+        """
         times = self.poa_global_clearsky.index
-        if self.pvlib_location is None:
-            raise ValueError(
-                'pvlib location must be provided using set_clearsky()')
+        if not hasattr(self, "pvlib_location"):
+            raise ValueError("pvlib_location must be provided using set_clearsky()")
         loc = self.pvlib_location
 
         cs_amb_temp = clearsky_temperature.get_clearsky_tamb(
-            times, loc.latitude, loc.longitude)
+            times, loc.latitude, loc.longitude
+        )
 
         self.temperature_ambient_clearsky = cs_amb_temp
 
     def _pvwatts_norm(self, poa_global, temperature_cell):
-        '''
+        """
         Normalize PV energy to that expected from a PVWatts model.
 
         Parameters
@@ -347,7 +463,7 @@ def _pvwatts_norm(self, poa_global, temperature_cell):
             Normalized pv energy
         pandas.Series
             Associated insolation
-        '''
+        """
 
         if self.power_dc_rated is None:
             renorm = True
@@ -357,33 +473,40 @@ def _pvwatts_norm(self, poa_global, temperature_cell):
             power_dc_rated = self.power_dc_rated
 
         if self.gamma_pdc is None:
-            warnings.warn('Temperature coefficient not passed in to TrendAnalysis'
-                          '. No temperature correction will be conducted.')
-        pvwatts_kws = {"poa_global": poa_global,
-                       "power_dc_rated": power_dc_rated,
-                       "temperature_cell": temperature_cell,
-                       "poa_global_ref": 1000,
-                       "temperature_cell_ref": 25,
-                       "gamma_pdc": self.gamma_pdc}
+            warnings.warn(
+                "Temperature coefficient not passed in to TrendAnalysis. "
+                "No temperature correction will be conducted."
+            )
+        pvwatts_kws = {
+            "poa_global": poa_global,
+            "power_dc_rated": power_dc_rated,
+            "temperature_cell": temperature_cell,
+            "poa_global_ref": 1000,
+            "temperature_cell_ref": 25,
+            "gamma_pdc": self.gamma_pdc,
+        }
 
         energy_normalized, insolation = normalization.normalize_with_pvwatts(
-            self.pv_energy, pvwatts_kws)
+            self.pv_energy, pvwatts_kws
+        )
 
         if renorm:
             # Normalize to the 95th percentile for convenience, this is renormalized out
             # in the calculations but is relevant to normalized_filter()
-            x = energy_normalized[np.isfinite(energy_normalized)]
-            energy_normalized = energy_normalized / x.quantile(0.95)
+            q = utilities.robust_quantile(energy_normalized[np.isfinite(energy_normalized)], 0.95)
+
+            energy_normalized = energy_normalized / q
 
         return energy_normalized, insolation
 
     def _filter(self, energy_normalized, case):
-        '''
+        """
         Calculate filters based on those in rdtools.filtering. Uses
         self.filter_params, which is a dict, the keys of which are names of
         functions in rdtools.filtering, and the values of which are dicts
         containing the associated parameters with which to run the filtering
-        functions. See examples for details on how to modify filter parameters.
+        functions. This private method is specifically for the original indexed
+        data. See examples for details on how to modify filter parameters.
 
         Parameters
         ----------
@@ -397,7 +520,23 @@ def _filter(self, energy_normalized, case):
         Returns
         -------
         None
-        '''
+        """
+
+        # Clearsky filtering subroutine, called either by clearsky analysis,
+        # or sensor analysis using sensor_clearsky_filter
+        def _call_clearsky_filter(filter_string):
+            if self.poa_global is None or self.poa_global_clearsky is None:
+                raise ValueError(
+                    "Both poa_global and poa_global_clearsky must be available to "
+                    f"do clearsky filtering with {filter_string}"
+                )
+            f = filtering.clearsky_filter(
+                self.poa_global,
+                self.poa_global_clearsky,
+                **self.filter_params[filter_string],
+            )
+            return f
+
         # Combining filters is non-trivial because of the possibility of index
         # mismatch.  Adding columns to an existing dataframe performs a left index
         # join, but probably we actually want an outer join.  We can get an outer
@@ -405,96 +544,219 @@ def _filter(self, energy_normalized, case):
         # at once.  However, we add a default value of True, with the same index as
         # energy_normalized, so that the output is still correct even when all
         # filters have been disabled.
-        filter_components = {'default': pd.Series(True, index=energy_normalized.index)}
+        filter_components = {"default": pd.Series(True, index=energy_normalized.index)}
 
-        if case == 'sensor':
+        if case == "sensor":
             poa = self.poa_global
             cell_temp = self.temperature_cell
-        if case == 'clearsky':
+        if case == "clearsky":
             poa = self.poa_global_clearsky
             cell_temp = self.temperature_cell_clearsky
 
-        if 'normalized_filter' in self.filter_params:
+        if "normalized_filter" in self.filter_params:
             f = filtering.normalized_filter(
-                energy_normalized, **self.filter_params['normalized_filter'])
-            filter_components['normalized_filter'] = f
-        if 'poa_filter' in self.filter_params:
+                energy_normalized, **self.filter_params["normalized_filter"]
+            )
+            filter_components["normalized_filter"] = f
+        if "poa_filter" in self.filter_params:
             if poa is None:
-                raise ValueError('poa must be available to use poa_filter')
-            f = filtering.poa_filter(poa, **self.filter_params['poa_filter'])
-            filter_components['poa_filter'] = f
-        if 'tcell_filter' in self.filter_params:
+                raise ValueError("poa must be available to use poa_filter")
+            f = filtering.poa_filter(poa, **self.filter_params["poa_filter"])
+            filter_components["poa_filter"] = f
+        if "tcell_filter" in self.filter_params:
             if cell_temp is None:
                 raise ValueError(
-                    'Cell temperature must be available to use tcell_filter')
-            f = filtering.tcell_filter(
-                cell_temp, **self.filter_params['tcell_filter'])
-            filter_components['tcell_filter'] = f
-        if 'clip_filter' in self.filter_params:
+                    "Cell temperature must be available to use tcell_filter"
+                )
+            f = filtering.tcell_filter(cell_temp, **self.filter_params["tcell_filter"])
+            filter_components["tcell_filter"] = f
+        if "clip_filter" in self.filter_params:
             if self.pv_power is None:
-                raise ValueError('PV power (not energy) is required for the clipping filter. '
-                                 'Either omit the clipping filter, provide PV power at '
-                                 'instantiation, or explicitly assign TrendAnalysis.pv_power.')
+                raise ValueError(
+                    "PV power (not energy) is required for the clipping filter. "
+                    "Either omit the clipping filter, provide PV power at "
+                    "instantiation, or explicitly assign TrendAnalysis.pv_power."
+                )
             f = filtering.clip_filter(
-                self.pv_power, **self.filter_params['clip_filter'])
-            filter_components['clip_filter'] = f
-        if case == 'clearsky':
-            if self.poa_global is None or self.poa_global_clearsky is None:
-                raise ValueError('Both poa_global and poa_global_clearsky must be available to '
-                                 'do clearsky filtering with csi_filter')
-            f = filtering.csi_filter(
-                self.poa_global, self.poa_global_clearsky, **self.filter_params['csi_filter'])
-            filter_components['csi_filter'] = f
+                self.pv_power, **self.filter_params["clip_filter"]
+            )
+            filter_components["clip_filter"] = f
+        if "hour_angle_filter" in self.filter_params:
+            if not hasattr(self, "pvlib_location"):
+                raise ValueError(
+                    "The pvlib location must be provided using set_clearsky() "
+                    "or by directly setting TrendAnalysis.pvlib_location "
+                    "in order to use the hour_angle_filter"
+                )
+            loc = self.pvlib_location
+            f = filtering.hour_angle_filter(
+                energy_normalized,
+                loc.latitude,
+                loc.longitude,
+                **self.filter_params["hour_angle_filter"],
+            )
+            filter_components["hour_angle_filter"] = f
+
+        if case == "clearsky":
+            filter_components["clearsky_filter"] = _call_clearsky_filter(
+                "clearsky_filter"
+            )
+
+        if "sensor_clearsky_filter" in self.filter_params:
+            filter_components["sensor_clearsky_filter"] = _call_clearsky_filter(
+                "sensor_clearsky_filter"
+            )
 
         # note: the previous implementation using the & operator treated NaN
         # filter values as False, so we do the same here for consistency:
-        filter_components = pd.DataFrame(filter_components).fillna(False)
+        filter_components = pd.DataFrame(filter_components).fillna(0).astype("bool")
 
         # apply special checks to ad_hoc_filter, as it is likely more prone to user error
-        if self.filter_params.get('ad_hoc_filter', None) is not None:
-            ad_hoc_filter = self.filter_params['ad_hoc_filter']
+        if self.filter_params.get("ad_hoc_filter", None) is not None:
+            ad_hoc_filter = self.filter_params["ad_hoc_filter"]
 
             if ad_hoc_filter.isnull().any():
-                warnings.warn('ad_hoc_filter contains NaN values; setting to False (excluding)')
-                ad_hoc_filter = ad_hoc_filter.fillna(False)
+                warnings.warn(
+                    "ad_hoc_filter contains NaN values; setting to False (excluding)"
+                )
+                ad_hoc_filter.loc[ad_hoc_filter.isnull()] = False
 
             if not filter_components.index.equals(ad_hoc_filter.index):
-                warnings.warn('ad_hoc_filter index does not match index of other filters; missing '
-                              'values will be set to True (kept). Align the index with the index '
-                              'of the filter_components attribute to prevent this warning')
-                ad_hoc_filter = ad_hoc_filter.reindex(filter_components.index).fillna(True)
+                warnings.warn(
+                    "ad_hoc_filter index does not match index of other filters; missing "
+                    "values will be set to True (kept). Align the index with the index "
+                    "of the filter_components attribute to prevent this warning"
+                )
+                ad_hoc_filter = ad_hoc_filter.reindex(filter_components.index)
+                ad_hoc_filter.loc[ad_hoc_filter.isnull()] = True
 
-            filter_components['ad_hoc_filter'] = ad_hoc_filter
+            filter_components["ad_hoc_filter"] = ad_hoc_filter
 
         bool_filter = filter_components.all(axis=1)
-        filter_components = filter_components.drop(columns=['default'])
-        if case == 'sensor':
+        filter_components = filter_components.drop(columns=["default"])
+        if case == "sensor":
             self.sensor_filter = bool_filter
             self.sensor_filter_components = filter_components
-        elif case == 'clearsky':
+        elif case == "clearsky":
             self.clearsky_filter = bool_filter
             self.clearsky_filter_components = filter_components
 
+    def _aggregated_filter(self, aggregated, case):
+        """
+        Mirrors the _filter private function, but with aggregated filters applied.
+        These aggregated filters are based on those in rdtools.filtering. Uses
+        self.filter_params_aggregated, which is a dict, the keys of which are names of
+        functions in rdtools.filtering, and the values of which are dicts
+        containing the associated parameters with which to run the filtering
+        functions. See examples for details on how to modify filter parameters.
+
+        Parameters
+        ----------
+        aggregated : pandas.Series
+            Time series of aggregated normalized AC energy
+        case : str
+            'sensor' or 'clearsky' which filtering protocol to apply. Affects
+            whether result is stored in self.sensor_filter_aggregated or
+            self.clearsky_filter_aggregated)
+
+        Returns
+        -------
+        None
+        """
+        filter_components_aggregated = {
+            "default": pd.Series(True, index=aggregated.index)
+        }
+
+        if case == "sensor":
+            insol = self.sensor_aggregated_insolation
+        if case == "clearsky":
+            insol = self.clearsky_aggregated_insolation
+
+        # Add daily aggregate filters as they come online here.
+        if "two_way_window_filter" in self.filter_params_aggregated:
+            f = filtering.two_way_window_filter(
+                aggregated, **self.filter_params_aggregated["two_way_window_filter"]
+            )
+            filter_components_aggregated["two_way_window_filter"] = f
+
+        if "insolation_filter" in self.filter_params_aggregated:
+            f = filtering.insolation_filter(
+                insol, **self.filter_params_aggregated["insolation_filter"]
+            )
+            filter_components_aggregated["insolation_filter"] = f
+
+        if "hampel_filter" in self.filter_params_aggregated:
+            hampelmask = filtering.hampel_filter(
+                aggregated, **self.filter_params_aggregated["hampel_filter"]
+            )
+            filter_components_aggregated["hampel_filter"] = hampelmask
+
+        if "directional_tukey_filter" in self.filter_params_aggregated:
+            f = filtering.directional_tukey_filter(
+                aggregated, **self.filter_params_aggregated["directional_tukey_filter"]
+            )
+            filter_components_aggregated["directional_tukey_filter"] = f
+
+        # Convert the dictionary into a dataframe (after running filters)
+        filter_components_aggregated = pd.DataFrame(
+            filter_components_aggregated
+        ).fillna(False)
+        # Run the ad-hoc filter from filter_params_aggregated, if available
+        if self.filter_params_aggregated.get("ad_hoc_filter", None) is not None:
+            ad_hoc_filter_aggregated = self.filter_params_aggregated["ad_hoc_filter"]
+
+            if ad_hoc_filter_aggregated.isnull().any():
+                warnings.warn(
+                    "aggregated ad_hoc_filter contains NaN values; setting to False (excluding)"
+                )
+                ad_hoc_filter_aggregated.loc[ad_hoc_filter_aggregated.isnull()] = False
+
+            if not filter_components_aggregated.index.equals(
+                ad_hoc_filter_aggregated.index
+            ):
+                warnings.warn(
+                    "Aggregated ad_hoc_filter index does not match index of other "
+                    "filters; missing values will be set to True (kept). "
+                    "Align the index with the index of the "
+                    "filter_components_aggregated attribute to prevent this warning"
+                )
+                ad_hoc_filter_aggregated = ad_hoc_filter_aggregated.reindex(
+                    filter_components_aggregated.index
+                )
+                ad_hoc_filter_aggregated.loc[ad_hoc_filter_aggregated.isnull()] = True
+
+            filter_components_aggregated["ad_hoc_filter"] = ad_hoc_filter_aggregated
+
+        bool_filter_aggregated = filter_components_aggregated.all(axis=1)
+        filter_components_aggregated = filter_components_aggregated.drop(
+            columns=["default"]
+        )
+        if case == "sensor":
+            self.sensor_filter_aggregated = bool_filter_aggregated
+            self.sensor_filter_components_aggregated = filter_components_aggregated
+        elif case == "clearsky":
+            self.clearsky_filter_aggregated = bool_filter_aggregated
+            self.clearsky_filter_components_aggregated = filter_components_aggregated
+
     def _filter_check(self, post_filter):
-        '''
+        """
         post-filter check for requisite 730 days of data
 
         Parameters
         ----------
         post_filter : pandas.Series
             Time series filtered by boolean output from self.filter
-        '''
+        """
 
         if post_filter.empty:
-            post_filter_length = pd.Timedelta('0d')
+            post_filter_length = pd.Timedelta("0d")
         else:
             post_filter_length = post_filter.index[-1] - post_filter.index[0]
-        if post_filter_length < pd.Timedelta('730d'):
-            raise ValueError(
-                "Less than two years of data left after filtering")
+        if post_filter_length < pd.Timedelta("730d"):
+            raise ValueError("Less than two years of data left after filtering")
 
     def _aggregate(self, energy_normalized, insolation):
-        '''
+        """
         Return insolation-weighted normalized PV energy and the associated aggregated insolation
 
         Parameters
@@ -510,16 +772,18 @@ def _aggregate(self, energy_normalized, insolation):
             Insolation-weighted aggregated normalized PV energy
         pandas.Series
             Aggregated insolation
-        '''
+        """
         aggregated = aggregation.aggregation_insol(
-            energy_normalized, insolation, self.aggregation_freq)
+            energy_normalized, insolation, self.aggregation_freq
+        )
         aggregated_insolation = insolation.resample(
-            self.aggregation_freq).sum()
+            self.aggregation_freq, origin="start_day"
+        ).sum()
 
         return aggregated, aggregated_insolation
 
     def _yoy_degradation(self, energy_normalized, **kwargs):
-        '''
+        """
         Perform year-on-year degradation analysis on insolation-weighted
         aggregated energy yield.
 
@@ -539,21 +803,22 @@ def _yoy_degradation(self, energy_normalized, **kwargs):
                                        rate confidence interval as a list
             'calc_info': Dict of detailed results
                          (see degradation.degradation_year_on_year() docs)
-        '''
+        """
         self._filter_check(energy_normalized)
         yoy_rd, yoy_ci, yoy_info = degradation.degradation_year_on_year(
-            energy_normalized, **kwargs)
+            energy_normalized, **kwargs
+        )
 
         yoy_results = {
-            'p50_rd': yoy_rd,
-            'rd_confidence_interval': yoy_ci,
-            'calc_info': yoy_info
+            "p50_rd": yoy_rd,
+            "rd_confidence_interval": yoy_ci,
+            "calc_info": yoy_info,
         }
 
         return yoy_results
 
     def _srr_soiling(self, energy_normalized_daily, insolation_daily, **kwargs):
-        '''
+        """
         Perform stochastic rate and recovery soiling analysis.
 
         Parameters
@@ -574,88 +839,163 @@ def _srr_soiling(self, energy_normalized_daily, insolation_daily, **kwargs):
                                           insolation-weighted soiling ratio
                                           confidence interval
             'calc_info' : Dict of detailed results (see soiling.soiling_srr() docs)
-        '''
+        """
 
         from rdtools import soiling
 
         daily_freq = pd.tseries.offsets.Day()
-        if (energy_normalized_daily.index.freq != daily_freq or
-                insolation_daily.index.freq != daily_freq):
-            raise ValueError(
-                'Soiling SRR analysis requires daily aggregation.')
+        if (
+            energy_normalized_daily.index.freq != daily_freq
+            or insolation_daily.index.freq != daily_freq
+        ):
+            raise ValueError("Soiling SRR analysis requires daily aggregation.")
 
         sr, sr_ci, soiling_info = soiling.soiling_srr(
-            energy_normalized_daily, insolation_daily, **kwargs)
+            energy_normalized_daily, insolation_daily, **kwargs
+        )
 
         srr_results = {
-            'p50_sratio': sr,
-            'sratio_confidence_interval': sr_ci,
-            'calc_info': soiling_info
+            "p50_sratio": sr,
+            "sratio_confidence_interval": sr_ci,
+            "calc_info": soiling_info,
         }
 
         return srr_results
 
     def _sensor_preprocess(self):
-        '''
+        """
         Perform sensor-based normalization, filtering, and aggregation.
         If optional parameter self.power_expected is passed in,
         normalize_with_expected_power will be used instead of pvwatts.
-        '''
+        """
         if self.poa_global is None:
             raise ValueError(
-                'poa_global must be available to perform _sensor_preprocess')
-
+                "poa_global must be available to perform _sensor_preprocess"
+            )
+
+        if "sensor_clearsky_filter" in self.filter_params:
+            try:
+                if self.poa_global_clearsky is None:
+                    self._calc_clearsky_poa(model="isotropic")
+            except AttributeError:
+                raise AttributeError(
+                    "No poa_global_clearsky. 'set_clearsky' must be run "
+                    + "to allow filter_params['sensor_clearsky_filter']. "
+                )
         if self.power_expected is None:
             # Thermal details required if power_expected is not manually set.
             if self.temperature_cell is None and self.temperature_ambient is None:
-                raise ValueError('either cell or ambient temperature must be available '
-                                 'to perform _sensor_preprocess')
+                raise ValueError(
+                    "either cell or ambient temperature must be available "
+                    "to perform _sensor_preprocess"
+                )
             if self.temperature_cell is None:
                 self.temperature_cell = self._calc_cell_temperature(
-                    self.poa_global, self.temperature_ambient, self.windspeed)
+                    self.poa_global, self.temperature_ambient, self.windspeed
+                )
             energy_normalized, insolation = self._pvwatts_norm(
-                self.poa_global, self.temperature_cell)
+                self.poa_global, self.temperature_cell
+            )
         else:  # self.power_expected passed in by user
             energy_normalized, insolation = normalization.normalize_with_expected_power(
-                self.pv_energy, self.power_expected, self.poa_global, pv_input='energy')
-        self._filter(energy_normalized, 'sensor')
+                self.pv_energy, self.power_expected, self.poa_global, pv_input="energy"
+            )
+        self._filter(energy_normalized, "sensor")
         aggregated, aggregated_insolation = self._aggregate(
-            energy_normalized[self.sensor_filter], insolation[self.sensor_filter])
-        self.sensor_aggregated_performance = aggregated
+            energy_normalized[self.sensor_filter], insolation[self.sensor_filter]
+        )
+
+        # Run daily filters on aggregated data
         self.sensor_aggregated_insolation = aggregated_insolation
+        self._aggregated_filter(aggregated, "sensor")
+
+        # Apply filter to aggregated data and store
+        self.sensor_aggregated_performance = aggregated[self.sensor_filter_aggregated]
+        self.sensor_aggregated_insolation = aggregated_insolation[
+            self.sensor_filter_aggregated
+        ]
+
+        # Reindex the data after the fact, so it's on the aggregated interval
+        self.sensor_aggregated_performance = (
+            self.sensor_aggregated_performance.resample(
+                self.aggregation_freq, origin="start_day"
+            ).asfreq()
+        )
+        self.sensor_aggregated_insolation = self.sensor_aggregated_insolation.resample(
+            self.aggregation_freq, origin="start_day"
+        ).asfreq()
 
     def _clearsky_preprocess(self):
-        '''
+        """
         Perform clear-sky-based normalization, filtering, and aggregation.
         If optional parameter self.power_expected is passed in,
         normalize_with_expected_power will be used instead of pvwatts.
-        '''
+        """
         try:
             if self.poa_global_clearsky is None:
-                self._calc_clearsky_poa(model='isotropic')
+                self._calc_clearsky_poa(model="isotropic")
         except AttributeError:
-            raise AttributeError("No poa_global_clearsky. 'set_clearsky' must be run " +
-                                 "prior to 'clearsky_analysis'")
+            raise AttributeError(
+                "No poa_global_clearsky. 'set_clearsky' must be run "
+                + "prior to 'clearsky_analysis'"
+            )
         if self.temperature_cell_clearsky is None:
             if self.temperature_ambient_clearsky is None:
                 self._calc_clearsky_tamb()
             self.temperature_cell_clearsky = self._calc_cell_temperature(
-                self.poa_global_clearsky, self.temperature_ambient_clearsky, 0)
+                self.poa_global_clearsky, self.temperature_ambient_clearsky, 0
+            )
             # Note example notebook uses windspeed=0 in the clearskybranch
         if self.power_expected is None:
             cs_normalized, cs_insolation = self._pvwatts_norm(
-                self.poa_global_clearsky, self.temperature_cell_clearsky)
+                self.poa_global_clearsky, self.temperature_cell_clearsky
+            )
         else:  # self.power_expected passed in by user
             cs_normalized, cs_insolation = normalization.normalize_with_expected_power(
-                self.pv_energy, self.power_expected, self.poa_global_clearsky, pv_input='energy')
-        self._filter(cs_normalized, 'clearsky')
+                self.pv_energy,
+                self.power_expected,
+                self.poa_global_clearsky,
+                pv_input="energy",
+            )
+            warnings.warn(
+                """Clear-sky analysis is performed but `power_expected` was passed in by user.
+                   In this case, the power normalization is not tied to the modeled clear-sky
+                   irradiance and the clear-sky workflow may provide similar results to
+                   the sensor workflow."""
+            )
+        self._filter(cs_normalized, "clearsky")
         cs_aggregated, cs_aggregated_insolation = self._aggregate(
-            cs_normalized[self.clearsky_filter], cs_insolation[self.clearsky_filter])
-        self.clearsky_aggregated_performance = cs_aggregated
-        self.clearsky_aggregated_insolation = cs_aggregated_insolation
+            cs_normalized[self.clearsky_filter], cs_insolation[self.clearsky_filter]
+        )
 
-    def sensor_analysis(self, analyses=['yoy_degradation'], yoy_kwargs={}, srr_kwargs={}):
-        '''
+        # Run daily filters on aggregated data
+        self.clearsky_aggregated_insolation = cs_aggregated_insolation
+        self._aggregated_filter(cs_aggregated, "clearsky")
+
+        # Apply daily filter to aggregated data and store
+        self.clearsky_aggregated_performance = cs_aggregated[
+            self.clearsky_filter_aggregated
+        ]
+        self.clearsky_aggregated_insolation = cs_aggregated_insolation[
+            self.clearsky_filter_aggregated
+        ]
+
+        # Reindex the data after the fact, so it's on the aggregated interval
+        self.clearsky_aggregated_performance = (
+            self.clearsky_aggregated_performance.resample(
+                self.aggregation_freq, origin="start_day"
+            ).asfreq()
+        )
+        self.clearsky_aggregated_insolation = (
+            self.clearsky_aggregated_insolation.resample(
+                self.aggregation_freq, origin="start_day"
+            ).asfreq()
+        )
+
+    def sensor_analysis(
+        self, analyses=["yoy_degradation"], yoy_kwargs={}, srr_kwargs={}
+    ):
+        """
         Perform entire sensor-based analysis workflow.
         Results are stored in self.results['sensor']
 
@@ -665,33 +1005,37 @@ def sensor_analysis(self, analyses=['yoy_degradation'], yoy_kwargs={}, srr_kwarg
             Analyses to perform as a list of strings. Valid entries are 'yoy_degradation'
             and 'srr_soiling'
         yoy_kwargs : dict
-            kwargs to pass to degradation.degradation_year_on_year()
+            kwargs to pass to :py:func:`rdtools.degradation.degradation_year_on_year`
         srr_kwargs : dict
-            kwargs to pass to soiling.soiling_srr()
+            kwargs to pass to :py:func:`rdtools.soiling.soiling_srr`
 
         Returns
         -------
         None
-        '''
-
+        """
         self._sensor_preprocess()
         sensor_results = {}
 
-        if 'yoy_degradation' in analyses:
+        if "yoy_degradation" in analyses:
             yoy_results = self._yoy_degradation(
-                self.sensor_aggregated_performance, **yoy_kwargs)
-            sensor_results['yoy_degradation'] = yoy_results
-
-        if 'srr_soiling' in analyses:
-            srr_results = self._srr_soiling(self.sensor_aggregated_performance,
-                                            self.sensor_aggregated_insolation,
-                                            **srr_kwargs)
-            sensor_results['srr_soiling'] = srr_results
-
-        self.results['sensor'] = sensor_results
-
-    def clearsky_analysis(self, analyses=['yoy_degradation'], yoy_kwargs={}, srr_kwargs={}):
-        '''
+                self.sensor_aggregated_performance, **yoy_kwargs
+            )
+            sensor_results["yoy_degradation"] = yoy_results
+
+        if "srr_soiling" in analyses:
+            srr_results = self._srr_soiling(
+                self.sensor_aggregated_performance,
+                self.sensor_aggregated_insolation,
+                **srr_kwargs,
+            )
+            sensor_results["srr_soiling"] = srr_results
+
+        self.results["sensor"] = sensor_results
+
+    def clearsky_analysis(
+        self, analyses=["yoy_degradation"], yoy_kwargs={}, srr_kwargs={}
+    ):
+        """
         Perform entire clear-sky-based analysis workflow. Results are stored
         in self.results['clearsky']
 
@@ -701,33 +1045,36 @@ def clearsky_analysis(self, analyses=['yoy_degradation'], yoy_kwargs={}, srr_kwa
             Analyses to perform as a list of strings. Valid entries are 'yoy_degradation'
             and 'srr_soiling'
         yoy_kwargs : dict
-            kwargs to pass to degradation.degradation_year_on_year()
+            kwargs to pass to :py:func:`rdtools.degradation.degradation_year_on_year`
         srr_kwargs : dict
-            kwargs to pass to soiling.soiling_srr()
+            kwargs to pass to :py:func:`rdtools.soiling.soiling_srr`
 
         Returns
         -------
         None
-        '''
+        """
 
         self._clearsky_preprocess()
         clearsky_results = {}
 
-        if 'yoy_degradation' in analyses:
+        if "yoy_degradation" in analyses:
             yoy_results = self._yoy_degradation(
-                self.clearsky_aggregated_performance, **yoy_kwargs)
-            clearsky_results['yoy_degradation'] = yoy_results
+                self.clearsky_aggregated_performance, **yoy_kwargs
+            )
+            clearsky_results["yoy_degradation"] = yoy_results
 
-        if 'srr_soiling' in analyses:
-            srr_results = self._srr_soiling(self.clearsky_aggregated_performance,
-                                            self.clearsky_aggregated_insolation,
-                                            **srr_kwargs)
-            clearsky_results['srr_soiling'] = srr_results
+        if "srr_soiling" in analyses:
+            srr_results = self._srr_soiling(
+                self.clearsky_aggregated_performance,
+                self.clearsky_aggregated_insolation,
+                **srr_kwargs,
+            )
+            clearsky_results["srr_soiling"] = srr_results
 
-        self.results['clearsky'] = clearsky_results
+        self.results["clearsky"] = clearsky_results
 
     def plot_degradation_summary(self, case, **kwargs):
-        '''
+        """
         Return a figure of a scatter plot and a histogram summarizing degradation rate analysis.
 
         Parameters
@@ -735,30 +1082,33 @@ def plot_degradation_summary(self, case, **kwargs):
         case : str
             The workflow result to plot, allowed values are 'sensor' and 'clearsky'
         kwargs :
-            Extra parameters passed to plotting.degradation_summary_plots()
+            Extra parameters passed to :py:func:`rdtools.plotting.degradation_summary_plots`
 
         Returns
         -------
         matplotlib.figure.Figure
-        '''
+        """
 
-        if case == 'sensor':
-            results_dict = self.results['sensor']['yoy_degradation']
+        if case == "sensor":
+            results_dict = self.results["sensor"]["yoy_degradation"]
             aggregated = self.sensor_aggregated_performance
-        elif case == 'clearsky':
-            results_dict = self.results['clearsky']['yoy_degradation']
+        elif case == "clearsky":
+            results_dict = self.results["clearsky"]["yoy_degradation"]
             aggregated = self.clearsky_aggregated_performance
         else:
             raise ValueError("case must be either 'sensor' or 'clearsky'")
 
         fig = plotting.degradation_summary_plots(
-            results_dict['p50_rd'],
-            results_dict['rd_confidence_interval'],
-            results_dict['calc_info'], aggregated, **kwargs)
+            results_dict["p50_rd"],
+            results_dict["rd_confidence_interval"],
+            results_dict["calc_info"],
+            aggregated,
+            **kwargs,
+        )
         return fig
 
     def plot_soiling_monte_carlo(self, case, **kwargs):
-        '''
+        """
         Return a figure visualizing the Monte Carlo of soiling profiles used in
         stochastic rate and recovery soiling analysis.
 
@@ -767,29 +1117,30 @@ def plot_soiling_monte_carlo(self, case, **kwargs):
         case : str
             The workflow result to plot, allowed values are 'sensor' and 'clearsky'
         kwargs :
-            Extra parameters passed to plotting.soiling_monte_carlo_plot()
+            Extra parameters passed to :py:func:`rdtools.plotting.soiling_monte_carlo_plot`
 
         Returns
         -------
         matplotlib.figure.Figure
-        '''
+        """
 
-        if case == 'sensor':
-            results_dict = self.results['sensor']['srr_soiling']
+        if case == "sensor":
+            results_dict = self.results["sensor"]["srr_soiling"]
             aggregated = self.sensor_aggregated_performance
-        elif case == 'clearsky':
-            results_dict = self.results['clearsky']['srr_soiling']
+        elif case == "clearsky":
+            results_dict = self.results["clearsky"]["srr_soiling"]
             aggregated = self.clearsky_aggregated_performance
         else:
             raise ValueError("case must be either 'sensor' or 'clearsky'")
 
         fig = plotting.soiling_monte_carlo_plot(
-            results_dict['calc_info'], aggregated, **kwargs)
+            results_dict["calc_info"], aggregated, **kwargs
+        )
 
         return fig
 
     def plot_soiling_interval(self, case, **kwargs):
-        '''
+        """
         Return a figure visualizing the valid soiling intervals used in
         stochastic rate and recovery soiling analysis.
 
@@ -798,29 +1149,30 @@ def plot_soiling_interval(self, case, **kwargs):
         case : str
             The workflow result to plot, allowed values are 'sensor' and 'clearsky'
         kwargs :
-            Extra parameters passed to plotting.soiling_interval_plot()
+            Extra parameters passed to :py:func:`rdtools.plotting.soiling_interval_plot`
 
         Returns
         -------
         matplotlib.figure.Figure
-        '''
+        """
 
-        if case == 'sensor':
-            results_dict = self.results['sensor']['srr_soiling']
+        if case == "sensor":
+            results_dict = self.results["sensor"]["srr_soiling"]
             aggregated = self.sensor_aggregated_performance
-        elif case == 'clearsky':
-            results_dict = self.results['clearsky']['srr_soiling']
+        elif case == "clearsky":
+            results_dict = self.results["clearsky"]["srr_soiling"]
             aggregated = self.clearsky_aggregated_performance
         else:
             raise ValueError("case must be either 'sensor' or 'clearsky'")
 
         fig = plotting.soiling_interval_plot(
-            results_dict['calc_info'], aggregated, **kwargs)
+            results_dict["calc_info"], aggregated, **kwargs
+        )
 
         return fig
 
     def plot_soiling_rate_histogram(self, case, **kwargs):
-        '''
+        """
         Return a histogram of soiling rates found in the stochastic rate and recovery
         soiling analysis
 
@@ -829,27 +1181,26 @@ def plot_soiling_rate_histogram(self, case, **kwargs):
         case : str
             The workflow result to plot, allowed values are 'sensor' and 'clearsky'
         kwargs :
-            Extra parameters passed to plotting.soiling_rate_histogram()
+            Extra parameters passed to :py:func:`rdtools.plotting.soiling_rate_histogram`
 
         Returns
         -------
         matplotlib.figure.Figure
-        '''
+        """
 
-        if case == 'sensor':
-            results_dict = self.results['sensor']['srr_soiling']
-        elif case == 'clearsky':
-            results_dict = self.results['clearsky']['srr_soiling']
+        if case == "sensor":
+            results_dict = self.results["sensor"]["srr_soiling"]
+        elif case == "clearsky":
+            results_dict = self.results["clearsky"]["srr_soiling"]
         else:
             raise ValueError("case must be either 'sensor' or 'clearsky'")
 
-        fig = plotting.soiling_rate_histogram(
-            results_dict['calc_info'], **kwargs)
+        fig = plotting.soiling_rate_histogram(results_dict["calc_info"], **kwargs)
 
         return fig
 
     def plot_pv_vs_irradiance(self, case, alpha=0.01, **kwargs):
-        '''
+        """
         Plot PV energy vs irradiance, useful in diagnosing things like timezone problems or
         transposition errors.
 
@@ -866,22 +1217,78 @@ def plot_pv_vs_irradiance(self, case, alpha=0.01, **kwargs):
         Returns
         -------
         matplotlib.figure.Figure
-        '''
+        """
 
-        if case == 'sensor':
+        if case == "sensor":
             poa = self.poa_global
-        elif case == 'clearsky':
+        elif case == "clearsky":
             poa = self.poa_global_clearsky
         else:
             raise ValueError("case must be either 'sensor' or 'clearsky'")
 
-        to_plot = pd.merge(pd.DataFrame(poa), pd.DataFrame(
-            self.pv_energy), left_index=True, right_index=True)
+        to_plot = pd.merge(
+            pd.DataFrame(poa),
+            pd.DataFrame(self.pv_energy),
+            left_index=True,
+            right_index=True,
+        )
 
         fig, ax = plt.subplots()
-        ax.plot(to_plot.iloc[:, 0], to_plot.iloc[:, 1],
-                'o', alpha=alpha, **kwargs)
+        ax.plot(to_plot.iloc[:, 0], to_plot.iloc[:, 1], "o", alpha=alpha, **kwargs)
         ax.set_xlim(0, 1500)
-        ax.set_xlabel('Irradiance (W/m$^2$)')
-        ax.set_ylabel('PV Energy (Wh/timestep)')
+        ax.set_xlabel("Irradiance (W/m$^2$)")
+        ax.set_ylabel("PV Energy (Wh/timestep)")
+        return fig
+
+    def plot_degradation_timeseries(self, case, rolling_days=365, **kwargs):
+        """
+        Plot resampled time series of degradation trend with time
+
+        Parameters
+        ----------
+        case: str
+            The workflow result to plot, allowed values are 'sensor' and 'clearsky'
+        rolling_days: int, default 365
+            Number of days for rolling window. Note that the window must contain
+            at least 50% of datapoints to be included in rolling plot.
+        kwargs :
+            Extra parameters passed to :py:func:`rdtools.plotting.degradation_timeseries_plot`
+
+        Returns
+        -------
+        matplotlib.figure.Figure
+        """
+
+        if case == "sensor":
+            yoy_info = self.results["sensor"]["yoy_degradation"]["calc_info"]
+        elif case == "clearsky":
+            yoy_info = self.results["clearsky"]["yoy_degradation"]["calc_info"]
+        else:
+            raise ValueError("case must be either 'sensor' or 'clearsky'")
+
+        fig = plotting.degradation_timeseries_plot(yoy_info, rolling_days, **kwargs)
         return fig
+
+
+class ValidatedFilterDict(dict):
+    def __init__(self, valid_keys, *args, **kwargs):
+        self.valid_keys = valid_keys
+        self._err_msg = "Key '{0}' is not a valid filter parameter."
+        super(ValidatedFilterDict, self).__init__(*args, **kwargs)
+        self._validate_keys()
+
+    def __setitem__(self, key, value):
+        if key not in self.valid_keys:
+            raise KeyError(self._err_msg.format(key))
+        super(ValidatedFilterDict, self).__setitem__(key, value)
+
+    def update(self, *args, **kwargs):
+        for key in dict(*args, **kwargs).keys():
+            if key not in self.valid_keys:
+                raise KeyError(self._err_msg.format(key))
+        super(ValidatedFilterDict, self).update(*args, **kwargs)
+
+    def _validate_keys(self):
+        for key in self.keys():
+            if key not in self.valid_keys:
+                raise KeyError(self._err_msg.format(key))
diff --git a/rdtools/availability.py b/rdtools/availability.py
index 023ffacd7..06d57780c 100644
--- a/rdtools/availability.py
+++ b/rdtools/availability.py
@@ -14,12 +14,6 @@
 from scipy.interpolate import interp1d
 import warnings
 
-warnings.warn(
-    'The availability module is currently experimental. The API, results, '
-    'and default behaviors may change in future releases (including MINOR '
-    'and PATCH releases) as the code matures.'
-)
-
 
 class AvailabilityAnalysis:
     """
@@ -273,11 +267,15 @@ def _calc_loss_subsystem(self, low_threshold, relative_sizes,
         system_delta = 1 - power_system / virtual_full_power
 
         subsystem_fraction = relative_sizes / relative_sizes.sum()
-        smallest_delta = power_subsystem.le(low_threshold) \
-                                        .replace(False, np.nan) \
-                                        .multiply(subsystem_fraction) \
-                                        .min(axis=1) \
-                                        .fillna(1)  # use safe value of 100%
+        smallest_delta = (
+            power_subsystem.le(low_threshold)
+            .replace(False, None)
+            .multiply(subsystem_fraction)
+            .min(axis=1)
+            .astype(float)
+            .fillna(1.0)
+        )  # use safe value of 100%
+        # smallest_delta.loc[smallest_delta.isnull()] = 1
         is_downtime = system_delta > (0.75 * smallest_delta)
         is_downtime[looks_online.all(axis=1)] = False
 
@@ -415,20 +413,21 @@ def _calc_loss_system(self):
         all_times = self.power_system.index
         masked = looks_offline[self.power_expected > 0].reindex(all_times)
         # Note: in Series, (nan | True) is False, but (True | nan) is True
-        full_outage = (
-            masked.ffill().fillna(False) | masked.bfill().fillna(False)
-        )
-
+        ffill = masked.ffill()
+        ffill.loc[ffill.isnull()] = False
+        bfill = masked.bfill()
+        bfill.loc[bfill.isnull()] = False
+        full_outage = ffill | bfill
         # Find expected production and associated uncertainty for each outage
         diff = full_outage.astype(int).diff()
         starts = all_times[diff == 1].tolist()
         ends = all_times[diff.shift(-1) == -1].tolist()
         steps = diff[~diff.isnull() & (diff != 0)]
         if not steps.empty:
-            if steps[0] == -1:
+            if steps.iloc[0] == -1:
                 # data starts in an outage
                 starts.insert(0, all_times[0])
-            if steps[-1] == 1:
+            if steps.iloc[-1] == 1:
                 # data ends in an outage
                 ends.append(all_times[-1])
 
@@ -497,7 +496,7 @@ def _calc_loss_system(self):
 
         # generate a best-guess timeseries loss for the full outages by
         # scaling the expected power signal to match the actual
-        lost_power_full = pd.Series(0, index=self.loss_subsystem.index)
+        lost_power_full = pd.Series(0, index=self.loss_subsystem.index, dtype=float)
         expected_power = self.power_expected
         corrected_cumulative_energy = self.energy_cumulative.copy()
         for i, row in self.outage_info.iterrows():
@@ -519,7 +518,7 @@ def _calc_loss_system(self):
         self.energy_cumulative_corrected = corrected_cumulative_energy
         self.loss_system = lost_power_full
 
-    def _combine_losses(self, rollup_period='M'):
+    def _combine_losses(self, rollup_period="ME"):
         """
         Combine subsystem and system losses.
 
@@ -527,10 +526,17 @@ def _combine_losses(self, rollup_period='M'):
 
         Parameters
         ----------
-        rollup_period : pandas offset string, default 'M'
+        rollup_period : pandas offset string, default 'ME'
             The period on which to roll up losses and calculate availability.
+            The default value "ME" triggers a monthly rollup period. For other aliases,
+            be sure they are compatible with your version of Pandas"
         """
 
+        # Allow pandas < 2.0 to use 'M' as an alias for MonthEnd
+        # https://pandas.pydata.org/docs/whatsnew/v2.2.0.html#deprecate-aliases-m-q-y-etc-in-favour-of-me-qe-ye-etc-for-offsets
+        if rollup_period == "ME":
+            rollup_period = pd.tseries.offsets.MonthEnd()
+
         if ((self.loss_system > 0) & (self.loss_subsystem > 0)).any():
             msg = (
                 'Loss detected simultaneously at both system and subsystem '
@@ -557,9 +563,14 @@ def _combine_losses(self, rollup_period='M'):
         df['availability'] = 1 - df['lost_production'] / loss_plus_actual
         self.results = df
 
-    def run(self, low_threshold=None, relative_sizes=None,
-            power_system_limit=None, quantiles=(0.01, 0.99),
-            rollup_period='M'):
+    def run(
+        self,
+        low_threshold=None,
+        relative_sizes=None,
+        power_system_limit=None,
+        quantiles=(0.01, 0.99),
+        rollup_period="ME",
+    ):
         """
         Run the availability analysis.
 
@@ -595,8 +606,10 @@ def run(self, low_threshold=None, relative_sizes=None,
             no production loss or (2) a power outage with an associated
             production loss estimate.
 
-        rollup_period : pandas.tseries.offsets.DateOffset or alias, default 'M'
+        rollup_period : pandas.tseries.offsets.DateOffset or alias, default 'ME'
             The period on which to roll up losses and calculate availability.
+            The default value "ME" triggers a monthly rollup period. For other aliases,
+            be sure they are compatible with your version of Pandas"
         """
         self._calc_loss_subsystem(low_threshold, relative_sizes,
                                   power_system_limit)
diff --git a/rdtools/bootstrap.py b/rdtools/bootstrap.py
new file mode 100644
index 000000000..f9d8c7f4c
--- /dev/null
+++ b/rdtools/bootstrap.py
@@ -0,0 +1,118 @@
+'''
+Functions for circular block bootstrapping of time series models to acquire
+confidence intervals.
+
+References
+----------
+.. [1] Skomedal, Å. and Deceglie, M. G., IEEE Journal of
+   Photovoltaics, Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219
+
+'''
+
+import pandas as pd
+import numpy as np
+from arch.bootstrap import CircularBlockBootstrap
+
+
+def _make_time_series_bootstrap_samples(
+    signal, model_fit, sample_nr=1000, block_length=90,
+    decomposition_type='multiplicative', bootstrap_seed=None
+):
+    '''
+    Generate bootstrap samples based on a time series signal and its model fit
+    using circular block bootstrapping.
+
+    Parameters
+    ----------
+    signal : pandas.Series
+        The time series signal that you want to make bootstrap samples of
+    model_fit : pandas.Series
+        A model fit to the signal
+    sample_nr : int, default 1000
+        The number of bootstrap samples that you want to generate
+    block_length : int, default 90
+        Length of blocks to shuffle in block bootstrapping
+    decomposition_type : string, default 'multiplicative'
+        The type of decomposition to use with the model,
+        either 'multiplicative' or 'additive'
+    bootstrap_seed: {Generator, RandomState, int}, default None
+        Seed passed to CircularBlockBootstrap use to ensure reproducable results.
+        If an int, passes the value to ``np.random.default_rng``.
+        If None (default), a fresh Generator is constructed with system-provided entropy.
+
+    Returns
+    -------
+    bootstrap_samples : pandas.DataFrame
+        A dataframe contianing the bootstrap samples in the columns
+    '''
+    if decomposition_type == 'multiplicative':
+        residuals = signal / model_fit
+    elif decomposition_type == 'additive':
+        residuals = signal - model_fit
+    else:
+        raise ValueError(
+            'decomposition_type needs to be either \'multiplicative\' or'
+            + ' \'additive\'')
+
+    # Initialize return dataframe
+    bootstrap_samples = pd.DataFrame(
+        index=signal.index, columns=range(sample_nr))
+
+    # Create circular blocks of boostrap samples
+    bs = CircularBlockBootstrap(block_length, residuals, seed=bootstrap_seed)
+    for b, bootstrapped_residuals in enumerate(bs.bootstrap(sample_nr)):
+        if decomposition_type == 'multiplicative':
+            bootstrap_samples.loc[:, b] = \
+                model_fit * bootstrapped_residuals[0][0].values
+        elif decomposition_type == 'additive':
+            bootstrap_samples.loc[:, b] = \
+                model_fit + bootstrapped_residuals[0][0].values
+
+    return bootstrap_samples
+
+
+def _construct_confidence_intervals(
+    bootstrap_samples, fitting_function, exceedance_prob=95, confidence_level=68.2, **kwargs
+):
+    '''
+    Construct confidence intervals based on a set of bootstrap samples and
+    a fitting function that takes a pandas series as input and returns a
+    float
+
+    Parameters
+    ----------
+    bootstrap_samples : pandas.DataFrame
+        A dataframe containing the bootstrap samples in the columns
+    fitting_function : function
+        A function that fits a model to the bootstrap samples. Should take a
+        series as input and returns a float
+    exceedance_prob : float, default 95
+        The probability level to use for exceedance value calculation,
+        in percent.
+    confidence_level : float, default 68.2
+        The size of the confidence interval to return, in percent.
+    **kwargs
+        Keyword arguments to pass on to the `fitting_function`
+
+    Returns
+    -------
+    confidence_interval : tuple(float, float)
+        The confidence interval of the metric that is estimated in the
+        `fitting_function`
+    exceedance_level : float
+        the degradation rate that was outperformed with probability of
+        `exceedance_prob`
+    metrics : pd.Series
+        Series of result metrics of the `fitting_function`
+    '''
+    # Estimate the set of metrics using the fitting function
+    metrics = bootstrap_samples.apply(fitting_function, **kwargs)
+
+    # Construct the confidence interval
+    half_ci = confidence_level / 2.0
+    confidence_interval = np.percentile(metrics, [50.0 - half_ci, 50.0 + half_ci])
+
+    # Estimate exceedance level
+    exceedance_level = np.percentile(metrics, 100.0 - exceedance_prob)
+
+    return confidence_interval, exceedance_level, metrics
diff --git a/rdtools/clearsky_temperature.py b/rdtools/clearsky_temperature.py
index 4272f05e3..ebe617f2a 100644
--- a/rdtools/clearsky_temperature.py
+++ b/rdtools/clearsky_temperature.py
@@ -4,9 +4,10 @@
 from numpy import arange
 from datetime import timedelta
 import pandas as pd
-import pkg_resources
+from contextlib import ExitStack
 import numpy as np
 import warnings
+import importlib.resources as importlib_resources
 
 
 def get_clearsky_tamb(times, latitude, longitude, window_size=40,
@@ -42,14 +43,17 @@ def get_clearsky_tamb(times, latitude, longitude, window_size=40,
     * https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MOD_LSTN_CLIM_M
     '''
 
-    filepath = pkg_resources.resource_filename('rdtools',
-                                               'data/temperature.hdf5')
+    file_manager = ExitStack()
+    ref = importlib_resources.files("rdtools") / "data/temperature.hdf5"
+    filepath = file_manager.enter_context(importlib_resources.as_file(ref))
 
     buffer = timedelta(days=window_size)
 
     if times.freq is None:
         freq_actual = pd.infer_freq(times)
         if freq_actual is None:
+            times._engine.clear_mapping()
+            # workaround from https://github.com/pandas-dev/pandas/issues/55794
             freq_actual = pd.infer_freq(times[:10])
             warnings.warn("Input 'times' has no frequency attribute. "
                           "Inferring frequency from first 10 timestamps.")
diff --git a/rdtools/degradation.py b/rdtools/degradation.py
index ef3ee4338..1698b3688 100644
--- a/rdtools/degradation.py
+++ b/rdtools/degradation.py
@@ -3,6 +3,9 @@
 import pandas as pd
 import numpy as np
 import statsmodels.api as sm
+from rdtools.bootstrap import _make_time_series_bootstrap_samples, \
+    _construct_confidence_intervals
+from rdtools import utilities
 
 
 def degradation_ols(energy_normalized, confidence_level=68.2):
@@ -127,7 +130,9 @@ def degradation_classical_decomposition(energy_normalized,
     # Compute yearly rolling mean to isolate trend component using
     # moving average
     energy_ma = df['energy_normalized'].rolling('365d', center=True).mean()
-    has_full_year = (df['years'] >= df['years'][0] + 0.5) & (df['years'] <= df['years'][-1] - 0.5)
+    has_full_year = (df["years"] >= df["years"].iloc[0] + 0.5) & (
+        df["years"] <= df["years"].iloc[-1] - 0.5
+    )
     energy_ma[~has_full_year] = np.nan
     df['energy_ma'] = energy_ma
 
@@ -173,7 +178,8 @@ def degradation_classical_decomposition(energy_normalized,
 
 
 def degradation_year_on_year(energy_normalized, recenter=True,
-                             exceedance_prob=95, confidence_level=68.2):
+                             exceedance_prob=95, confidence_level=68.2,
+                             uncertainty_method='simple', block_length=30):
     '''
     Estimate the trend of a timeseries using the year-on-year decomposition
     approach and calculate a Monte Carlo-derived confidence interval of slope.
@@ -192,6 +198,16 @@ def degradation_year_on_year(energy_normalized, recenter=True,
         in percent.
     confidence_level : float, default 68.2
         The size of the confidence interval to return, in percent.
+    uncertainty_method : string, default 'simple'
+        Either 'simple', 'circular_block', or None
+        Determines what bootstrapping method to use to construct confidence
+        intervals and exceedance levels. If None (or anything other than the three
+        alternatives), the algorithm does not construct confidence intervals,
+        is considerably faster, and only returns the `Rd_pct`.
+    block_length : int, default 30
+        If `uncertainty_method` is 'circular_block', `block_length`
+        determines the length of the blocks used in the circular block bootstrapping
+        in number of days. Must be shorter than a third of the time series.
 
     Returns
     -------
@@ -217,12 +233,6 @@ def degradation_year_on_year(energy_normalized, recenter=True,
     energy_normalized.name = 'energy'
     energy_normalized.index.name = 'dt'
 
-    # Detect sub-daily data:
-    if min(np.diff(energy_normalized.index.values, n=1)) < \
-            np.timedelta64(23, 'h'):
-        raise ValueError('energy_normalized must not be '
-                         'more frequent than daily')
-
     # Detect less than 2 years of data. This is complicated by two things:
     #   - leap days muddle the precise meaning of "two years of data".
     #   - can't just check the number of days between the first and last
@@ -237,11 +247,22 @@ def degradation_year_on_year(energy_normalized, recenter=True,
     if energy_normalized.index[-1] < energy_normalized.index[0] + pd.DateOffset(years=2) - step:
         raise ValueError('must provide at least two years of normalized energy')
 
+    # If circular block bootstrapping...
+    if uncertainty_method == 'circular_block':
+        # ... require regular logging frequency
+        freq = pd.infer_freq(energy_normalized.index)
+        if isinstance(freq, type(None)):
+            raise ValueError('energy_normalized must have a fixed frequency')
+        # ... require a block length shorter than a third of the time series
+        if block_length > (len(energy_normalized) / 3):
+            raise ValueError(
+                'block_length must must be shorter than a third of the time series')
+
     # Auto center
     if recenter:
         start = energy_normalized.index[0]
         oneyear = start + pd.Timedelta('364d')
-        renorm = energy_normalized[start:oneyear].median()
+        renorm = utilities.robust_median(energy_normalized[start:oneyear])
     else:
         renorm = 1.0
 
@@ -252,7 +273,8 @@ def degradation_year_on_year(energy_normalized, recenter=True,
 
     # Merge with what happened one year ago, use tolerance of 8 days to allow
     # for weekly aggregated data
-    df = pd.merge_asof(energy_normalized[['dt', 'energy']], energy_normalized,
+    df = pd.merge_asof(energy_normalized[['dt', 'energy']],
+                       energy_normalized.sort_values('dt_shifted'),
                        left_on='dt', right_on='dt_shifted',
                        suffixes=['', '_right'],
                        tolerance=pd.Timedelta('8D')
@@ -268,31 +290,70 @@ def degradation_year_on_year(energy_normalized, recenter=True,
     df['usage_of_points'] = df.yoy.notnull().astype(int).add(
                 df_right.yoy.notnull().astype(int), fill_value=0)
 
-    calc_info = {
-        'YoY_values': yoy_result,
-        'renormalizing_factor': renorm,
-        'usage_of_points': df['usage_of_points']
-    }
-
     if not len(yoy_result):
         raise ValueError('no year-over-year aggregated data pairs found')
 
     Rd_pct = yoy_result.median()
 
-    # bootstrap to determine 68% CI and exceedance probability
-    n1 = len(yoy_result)
-    reps = 10000
-    xb1 = np.random.choice(yoy_result, (n1, reps), replace=True)
-    mb1 = np.median(xb1, axis=0)
-
-    half_ci = confidence_level / 2.0
-    Rd_CI = np.percentile(mb1, [50.0 - half_ci, 50.0 + half_ci])
-
-    P_level = np.percentile(mb1, 100.0 - exceedance_prob)
-
-    calc_info['exceedance_level'] = P_level
-
-    return (Rd_pct, Rd_CI, calc_info)
+    if uncertainty_method == 'simple':  # If we need the full results
+        calc_info = {
+            'YoY_values': yoy_result,
+            'renormalizing_factor': renorm,
+            'usage_of_points': df['usage_of_points']
+        }
+
+        # bootstrap to determine 68% CI and exceedance probability
+        n1 = len(yoy_result)
+        reps = 10000
+        xb1 = np.random.choice(yoy_result, (n1, reps), replace=True)
+        mb1 = np.median(xb1, axis=0)
+
+        half_ci = confidence_level / 2.0
+        Rd_CI = np.percentile(mb1, [50.0 - half_ci, 50.0 + half_ci])
+
+        P_level = np.percentile(mb1, 100.0 - exceedance_prob)
+
+        calc_info['exceedance_level'] = P_level
+
+        return (Rd_pct, Rd_CI, calc_info)
+
+    elif uncertainty_method == 'circular_block':
+        # Number of bootstrap repetitions
+        reps = 1000
+
+        # Construct degradation trend time series
+        N = len(energy_normalized)
+        numeric_index = np.arange(N)
+        days_per_index = \
+            (energy_normalized.dt.iloc[-1] - energy_normalized.dt.iloc[0]).days / N
+        degradation_trend = 1 + (Rd_pct / 100 / 365.0 * numeric_index
+                                 * days_per_index)
+        degradation_trend = pd.Series(
+            index=energy_normalized.dt, data=degradation_trend)
+
+        # Generate bootstrap_samples
+        bootstrap_samples = _make_time_series_bootstrap_samples(
+            energy_normalized.set_index('dt')['energy'], degradation_trend,
+            sample_nr=reps, block_length=block_length)
+
+        # Construct confidence interval
+        Rd_CI, exceedance_level, bootstrap_rates = \
+            _construct_confidence_intervals(
+                bootstrap_samples, degradation_year_on_year,
+                exceedance_prob=exceedance_prob, confidence_level=confidence_level,
+                recenter=False, uncertainty_method='none')
+
+        # Save calculation information
+        calc_info = {
+            'renormalizing_factor': renorm,
+            'exceedance_level': exceedance_level,
+            'usage_of_points': df['usage_of_points'],
+            'bootstrap_rates': bootstrap_rates}
+
+        return (Rd_pct, Rd_CI, calc_info)
+
+    else:  # If we do not need confidence intervals and exceedance level
+        return Rd_pct
 
 
 def _mk_test(x, alpha=0.05):
diff --git a/rdtools/filtering.py b/rdtools/filtering.py
index 1fa662f6f..7c3759d40 100644
--- a/rdtools/filtering.py
+++ b/rdtools/filtering.py
@@ -1,17 +1,20 @@
-'''Functions for filtering and subsetting PV system data.'''
+"""Functions for filtering and subsetting PV system data."""
 
 import numpy as np
 import pandas as pd
 import os
 import warnings
-from numbers import Number
+import pvlib
+from scipy.interpolate import interp1d
 import rdtools
 import xgboost as xgb
+from rdtools import utilities
 
 # Load in the XGBoost clipping model using joblib.
 xgboost_clipping_model = None
-model_path = os.path.join(os.path.dirname(__file__),
-                          "models", "xgboost_clipping_model.json")
+model_path = os.path.join(
+    os.path.dirname(__file__), "models", "xgboost_clipping_model.json"
+)
 
 
 def _load_xgboost_clipping_model():
@@ -22,9 +25,10 @@ def _load_xgboost_clipping_model():
     return xgboost_clipping_model
 
 
-def normalized_filter(energy_normalized, energy_normalized_low=0.01,
-                      energy_normalized_high=None):
-    '''
+def normalized_filter(
+    energy_normalized, energy_normalized_low=0.01, energy_normalized_high=None
+):
+    """
     Select normalized yield between ``low_cutoff`` and ``high_cutoff``
 
     Parameters
@@ -41,19 +45,20 @@ def normalized_filter(energy_normalized, energy_normalized_low=0.01,
     pandas.Series
         Boolean Series of whether the given measurement is within acceptable
         bounds.
-    '''
+    """
 
     if energy_normalized_low is None:
         energy_normalized_low = -np.inf
     if energy_normalized_high is None:
         energy_normalized_high = np.inf
 
-    return ((energy_normalized > energy_normalized_low) &
-            (energy_normalized < energy_normalized_high))
+    return (energy_normalized > energy_normalized_low) & (
+        energy_normalized < energy_normalized_high
+    )
 
 
 def poa_filter(poa_global, poa_global_low=200, poa_global_high=1200):
-    '''
+    """
     Filter POA irradiance readings outside acceptable measurement bounds.
 
     Parameters
@@ -70,13 +75,12 @@ def poa_filter(poa_global, poa_global_low=200, poa_global_high=1200):
     pandas.Series
         Boolean Series of whether the given measurement is within acceptable
         bounds.
-    '''
+    """
     return (poa_global > poa_global_low) & (poa_global < poa_global_high)
 
 
-def tcell_filter(temperature_cell, temperature_cell_low=-50,
-                 temperature_cell_high=110):
-    '''
+def tcell_filter(temperature_cell, temperature_cell_low=-50, temperature_cell_high=110):
+    """
     Filter temperature readings outside acceptable measurement bounds.
 
     Parameters
@@ -93,13 +97,51 @@ def tcell_filter(temperature_cell, temperature_cell_low=-50,
     pandas.Series
         Boolean Series of whether the given measurement is within acceptable
         bounds.
-    '''
-    return ((temperature_cell > temperature_cell_low) &
-            (temperature_cell < temperature_cell_high))
+    """
+    return (temperature_cell > temperature_cell_low) & (
+        temperature_cell < temperature_cell_high
+    )
+
+
+def clearsky_filter(poa_global_measured, poa_global_clearsky, model='pvlib', **kwargs):
+    """
+    Wrapper function for running either the CSI or pvlib clearsky filter.
+
+    Parameters
+    ----------
+    poa_global_measured : pandas.Series
+        Plane of array irradiance based on measurments
+    poa_global_clearsky : pandas.Series
+        Plane of array irradiance based on a clear sky model
+    model : str, default 'pvlib'
+        Clearsky filter model to be applied. Can be 'pvlib' or 'csi'.
+    kwargs :
+        Additional clearsky filter args, specific to the filter being
+        used. Keyword must be passed with value.
+
+    Returns
+    -------
+    pandas.Series
+        Boolean Series of whether or not the given time is clear
+        based on the selected filter.
+
+    See Also
+    --------
+    csi_filter : Filtering based on clear-sky index (csi).
+    pvlib_clearsky_filter : Filtering based on pvlib's clearsky model.
+    """
+
+    if model == "csi":
+        clearsky_mask = csi_filter(poa_global_measured, poa_global_clearsky, **kwargs)
+    elif model == "pvlib":
+        clearsky_mask = pvlib_clearsky_filter(poa_global_measured, poa_global_clearsky, **kwargs)
+    else:
+        raise ValueError("Clearsky filter must be 'pvlib' or 'csi'.")
+    return clearsky_mask
 
 
 def csi_filter(poa_global_measured, poa_global_clearsky, threshold=0.15):
-    '''
+    """
     Filtering based on clear-sky index (csi)
 
     Parameters
@@ -116,23 +158,151 @@ def csi_filter(poa_global_measured, poa_global_clearsky, threshold=0.15):
     pandas.Series
         Boolean Series of whether the clear-sky index is within the threshold
         around 1.
-    '''
+    """
 
     csi = poa_global_measured / poa_global_clearsky
     return (csi >= 1.0 - threshold) & (csi <= 1.0 + threshold)
 
 
-def clip_filter(power_ac, model="quantile", **kwargs):
+def pvlib_clearsky_filter(
+    poa_global_measured,
+    poa_global_clearsky,
+    window_length=90,
+    mean_diff=75,
+    max_diff=75,
+    lower_line_length=-45,
+    upper_line_length=80,
+    var_diff=0.032,
+    slope_dev=75,
+    lookup_parameters=False,
+    **kwargs,
+):
+    """
+    Filtering based on the Reno and Hansen method for clear-sky filtering
+    as implimented in pvlib. Requires a regular time series with uniform
+    time steps.
+
+    Parameters
+    ----------
+    poa_global_measured : pandas.Series
+        Plane of array irradiance based on measurments
+    poa_global_clearsky : pandas.Series
+        Plane of array irradiance based on a clear sky model
+    window_length : int, default 90
+        Length of sliding time window in minutes. Must be greater than 2
+        periods.
+    mean_diff : float, default 75
+        Threshold value for agreement between mean values of measured
+        and clearsky in each interval, see Eq. 6 in [1]. [W/m2]
+    max_diff : float, default 75
+        Threshold value for agreement between maxima of measured and
+        clearsky values in each interval, see Eq. 7 in [1]. [W/m2]
+    lower_line_length : float, default -5
+        Lower limit of line length criterion from Eq. 8 in [1].
+        Criterion satisfied when lower_line_length < line length difference
+        < upper_line_length.
+    upper_line_length : float, default 10
+        Upper limit of line length criterion from Eq. 8 in [1].
+    var_diff : float, default 0.005
+        Threshold value in Hz for the agreement between normalized
+        standard deviations of rate of change in irradiance, see Eqs. 9
+        through 11 in [1].
+    slope_dev : float, default 8
+        Threshold value for agreement between the largest magnitude of
+        change in successive values, see Eqs. 12 through 14 in [1].
+    lookup_parameters : bool, default False
+        Look up the recomended parameters [2] based on the
+        frequency of poa_global_measured. If poa_global_measured has a defined
+        frequency, this overrides the values of window_length, max_diff,
+        var_diff, and slope_dev. For frequencies below 1 minute or greater than
+        30, the lookup uses the recomended parameters for 1 or 30 minutes
+        respectively. If poa_global_measured doesn't have a defined frequency,
+        the passed or default values of the parameters are used.
+    kwargs :
+        Additional arguments passed to pvlib.clearsky.detect_clearsky
+        return_components is set to False and not passed.
+
+    Returns
+    -------
+    pandas.Series
+        Boolean Series of whether or not the given time is clear.
+
+    References
+    ----------
+    [1] M.J. Reno and C.W. Hansen, Renewable Energy 90, pp. 520-531 (2016)
+    [2] D.C. Jordan and C.W. Hansen, Renewable Energy 209 pp. 393-400 (2023)
+
+
+    """
+
+    if lookup_parameters and poa_global_measured.index.freq:
+        frequencies = np.array([1, 5, 15, 30])
+        windows = np.array([50, 60, 90, 120])
+        max_diffs = np.array([60, 65, 75, 90])
+        var_diffs = np.array([0.005, 0.01, 0.032, 0.07])
+        slope_devs = np.array([50, 60, 75, 96])
+
+        windows_interp = interp1d(
+            frequencies,
+            windows,
+            fill_value=(windows[0], windows[-1]),
+            bounds_error=False,
+        )
+        max_diffs_interp = interp1d(
+            frequencies,
+            max_diffs,
+            fill_value=(max_diffs[0], max_diffs[-1]),
+            bounds_error=False,
+        )
+        var_diffs_interp = interp1d(
+            frequencies,
+            var_diffs,
+            fill_value=(var_diffs[0], var_diffs[-1]),
+            bounds_error=False,
+        )
+        slope_devs_interp = interp1d(
+            frequencies,
+            slope_devs,
+            fill_value=(slope_devs[0], slope_devs[-1]),
+            bounds_error=False,
+        )
+
+        freq_minutes = poa_global_measured.index.freq.nanos / 10**9 / 60
+        window_length = windows_interp(freq_minutes)
+        max_diff = max_diffs_interp(freq_minutes)
+        var_diff = var_diffs_interp(freq_minutes)
+        slope_dev = slope_devs_interp(freq_minutes)
+
+    df = pd.concat([poa_global_measured, poa_global_clearsky], axis=1, join="outer")
+    df.columns = ["measured", "clearsky"]
+
+    kwargs["return_components"] = False
+    mask = pvlib.clearsky.detect_clearsky(
+        df["measured"],
+        df["clearsky"],
+        window_length=window_length,
+        mean_diff=mean_diff,
+        max_diff=max_diff,
+        lower_line_length=lower_line_length,
+        upper_line_length=upper_line_length,
+        var_diff=var_diff,
+        slope_dev=slope_dev,
+        **kwargs,
+    )
+    return mask
+
+
+def clip_filter(power_ac, model="logic", **kwargs):
     """
     Master wrapper for running one of the desired clipping filters.
-    The default filter run is the quantile clipping filter.
+    The default filter run is the logic clipping filter.
 
     Parameters
     ----------
     power_ac : pandas.Series
         Pandas time series, representing PV system power or energy.
         For best performance, timestamps should be in local time.
-    model : str, default 'quantile'
+    model : str, default 'logic'
         Clipping filter model to run. Can be 'quantile',
         'xgboost', or 'logic'. Note: using the xgboost model can
         result in errors on some systems. These can often be alleviated
@@ -150,32 +320,20 @@ def clip_filter(power_ac, model="quantile", **kwargs):
         True values delineate non-clipping periods, and False values delineate
         clipping periods.
     """
-    if isinstance(model, Number):
-        quantile = model
-        warnings.warn("Function clip_filter is now a wrapper for different "
-                      "clipping filters. To reproduce prior behavior, "
-                      "parameters have been interpreted as model= "
-                      f"'quantile_clip_filter', quantile={quantile}. "
-                      "This syntax will be removed in a future version.",
-                      rdtools._deprecation.rdtoolsDeprecationWarning)
-        kwargs['quantile'] = quantile
-        model = 'quantile'
-
-    if (model == 'quantile'):
+
+    if model == "quantile":
         clip_mask = quantile_clip_filter(power_ac, **kwargs)
-    elif model == 'xgboost':
+    elif model == "xgboost":
         clip_mask = xgboost_clip_filter(power_ac, **kwargs)
-    elif model == 'logic':
+    elif model == "logic":
         clip_mask = logic_clip_filter(power_ac, **kwargs)
     else:
-        raise ValueError(
-            "Variable model must be 'quantile', "
-            "'xgboost', or 'logic'.")
+        raise ValueError("Variable model must be 'quantile', " "'xgboost', or 'logic'.")
     return clip_mask
 
 
 def quantile_clip_filter(power_ac, quantile=0.98):
-    '''
+    """
     Filter data points likely to be affected by clipping
     with power or energy greater than or equal to 99% of the `quant`
     quantile.
@@ -192,9 +350,9 @@ def quantile_clip_filter(power_ac, quantile=0.98):
     pandas.Series
         Boolean Series of whether the given measurement is below 99% of the
         quantile filter.
-    '''
-    v = power_ac.quantile(quantile)
-    return (power_ac < v * 0.99)
+    """
+    v = utilities.robust_quantile(power_ac, quantile)
+    return power_ac < v * 0.99
 
 
 def _format_clipping_time_series(power_ac, mounting_type):
@@ -223,38 +381,42 @@ def _format_clipping_time_series(power_ac, mounting_type):
     # Check that it's a Pandas series with a datetime index.
     # If not, raise an error.
     if not isinstance(power_ac.index, pd.DatetimeIndex):
-        raise TypeError('Must be a Pandas series with a datetime index.')
+        raise TypeError("Must be a Pandas series with a datetime index.")
     # Check if the time series is tz-aware. If not, throw a
     # warning.
     has_timezone = pd.Series(power_ac.index).apply(lambda t: t.tzinfo is not None)
     # Throw a warning that we're expecting time zone-localized data,
     # if no time zone is specified.
     if not has_timezone.all():
-        warnings.warn("Function expects timestamps in local time. "
-                      "For best results pass a time-zone-localized "
-                      "time series localized to the correct local time zone.")
+        warnings.warn(
+            "Function expects timestamps in local time. "
+            "For best results pass a time-zone-localized "
+            "time series localized to the correct local time zone."
+        )
     # Check the other input variables to ensure that they are the
     # correct format
     if (mounting_type != "single_axis_tracking") & (mounting_type != "fixed"):
         raise ValueError(
             "Variable mounting_type must be string 'single_axis_tracking' or "
-            "'fixed'.")
+            "'fixed'."
+        )
     # Check if the datetime index is out of order. If it is, throw an
     # error.
     if not all(power_ac.sort_index().index == power_ac.index):
         raise IndexError(
             "Time series index has not been sorted. Implement the "
-            "sort_index() method to the time series to rerun this function.")
+            "sort_index() method to the time series to rerun this function."
+        )
     # Check that there is enough data in the dataframe. Must be greater than
     # 10 readings.
     if len(power_ac) <= 10:
-        raise Exception('<=10 readings in the time series, cannot run filter.')
+        raise Exception("<=10 readings in the time series, cannot run filter.")
     # Get the names of the series and the datetime index
-    column_name = 'value'
+    column_name = "value"
     power_ac = power_ac.rename(column_name)
     index_name = power_ac.index.name
     if index_name is None:
-        index_name = 'datetime'
+        index_name = "datetime"
         power_ac = power_ac.rename_axis(index_name)
     return power_ac, power_ac.index.name
 
@@ -277,15 +439,17 @@ def _check_data_sampling_frequency(power_ac):
     """
     # Get the sampling frequency counts--if the sampling frequency is not
     # consistently >=95% the same, then throw a warning.
-    sampling_frequency_df = pd.DataFrame(power_ac.index.to_series()
-                                         .diff().astype('timedelta64[s]')
-                                         .value_counts())/len(power_ac)
+    sampling_frequency_df = pd.DataFrame(
+        power_ac.index.to_series().diff().astype("timedelta64[s]").value_counts()
+    ) / len(power_ac)
     sampling_frequency_df.columns = ["count"]
-    if (sampling_frequency_df["count"] < .95).all():
-        warnings.warn("Variable sampling frequency across time series. "
-                      "Less than 95% of the time series is sampled at the "
-                      "same interval. This function was not tested "
-                      "on variable frequency data--use at your own risk!")
+    if (sampling_frequency_df["count"] < 0.95).all():
+        warnings.warn(
+            "Variable sampling frequency across time series. "
+            "Less than 95% of the time series is sampled at the "
+            "same interval. This function was not tested "
+            "on variable frequency data--use at your own risk!"
+        )
     return
 
 
@@ -315,13 +479,11 @@ def _calculate_max_rolling_range(power_ac, roll_periods):
     min_roll = power_ac.iloc[::-1].rolling(roll_periods).min()
     min_roll = min_roll.reindex(power_ac.index)
     # Calculate the maximum rolling range within the foward-rolling window
-    rolling_range_max = (max_roll - min_roll)/((max_roll + min_roll)/2)*100
+    rolling_range_max = (max_roll - min_roll) / ((max_roll + min_roll) / 2) * 100
     return rolling_range_max
 
 
-def _apply_overall_clipping_threshold(power_ac,
-                                      clipping_mask,
-                                      clipped_power_ac):
+def _apply_overall_clipping_threshold(power_ac, clipping_mask, clipped_power_ac):
     """
     Apply an overall clipping threshold to the data. This
     additional logic sets an overall threshold in the dataset
@@ -349,22 +511,23 @@ def _apply_overall_clipping_threshold(power_ac,
         periods are labeled as True and non-clipping periods are
         labeled as False. Has a pandas datetime index.
     """
-    upper_bound_pdiff = abs((power_ac.quantile(.99) -
-                             clipped_power_ac.quantile(.99))
-                            / ((power_ac.quantile(.99) +
-                                clipped_power_ac.quantile(.99))/2))
-    percent_clipped = len(clipped_power_ac)/len(power_ac)*100
+    q_power_ac = utilities.robust_quantile(power_ac, 0.99)
+    q_clipped_power_ac = utilities.robust_quantile(clipped_power_ac, 0.99)
+
+    upper_bound_pdiff = abs(
+        (q_power_ac - q_clipped_power_ac) / ((q_power_ac + q_clipped_power_ac) / 2)
+    )
+    percent_clipped = len(clipped_power_ac) / len(power_ac) * 100
     if (upper_bound_pdiff < 0.005) & (percent_clipped > 4):
-        max_clip = (power_ac >= power_ac.quantile(0.99))
-        clipping_mask = (clipping_mask | max_clip)
+        max_clip = power_ac >= q_power_ac
+        clipping_mask = clipping_mask | max_clip
     return clipping_mask
 
 
-def logic_clip_filter(power_ac,
-                      mounting_type='fixed',
-                      rolling_range_max_cutoff=0.2,
-                      roll_periods=None):
-    '''
+def logic_clip_filter(
+    power_ac, mounting_type="fixed", rolling_range_max_cutoff=0.2, roll_periods=None
+):
+    """
     This filter is a logic-based filter that is used to filter out
     clipping periods in AC power or energy time series. It is based
     on the method presented in [1]. A boolean filter is returned
@@ -411,134 +574,131 @@ def logic_clip_filter(power_ac,
     .. [1] Perry K., Muller, M., and Anderson K. "Performance comparison of clipping
        detection techniques in AC power time series", 2021 IEEE 48th Photovoltaic
        Specialists Conference (PVSC). DOI: 10.1109/PVSC43889.2021.9518733.
-    '''
-    # Throw a warning that this is still an experimental filter
-    warnings.warn("The logic-based filter is an experimental clipping filter "
-                  "that is still under development. The API, results, and "
-                  "default behaviors may change in future releases (including "
-                  "MINOR and PATCH). Use at your own risk!")
+    """
     # Format the time series
-    power_ac, index_name = _format_clipping_time_series(power_ac,
-                                                        mounting_type)
+    power_ac, index_name = _format_clipping_time_series(power_ac, mounting_type)
     # Test if the data sampling frequency is variable, and flag it if the time
     # series sampling frequency is less than 95% consistent.
     _check_data_sampling_frequency(power_ac)
     # Get the sampling frequency of the time series
     time_series_sampling_frequency = (
-        power_ac.index.to_series().diff() / pd.Timedelta('60s')
+        power_ac.index.to_series().diff() / pd.Timedelta("60s")
     ).mode()[0]
     # Make copies of the original inputs for the cases that the data is
     # changes for clipping evaluation
     original_time_series_sampling_frequency = time_series_sampling_frequency
     power_ac_copy = power_ac.copy()
     # Drop duplicate indices
-    power_ac = power_ac.reset_index().drop_duplicates(
-        subset=power_ac.index.name,
-        keep='first').set_index(power_ac.index.name)
-    freq_string = str(time_series_sampling_frequency) + 'T'
+    power_ac = (
+        power_ac.reset_index()
+        .drop_duplicates(subset=power_ac.index.name, keep="first")
+        .set_index(power_ac.index.name)
+    )
+    freq_string = str(time_series_sampling_frequency) + "min"
     # Set days with the majority of frozen data to null.
-    daily_std = power_ac.resample('D').std() / power_ac.resample('D').mean()
-    power_ac['daily_std'] = daily_std.reindex(index=power_ac.index,
-                                              method='ffill')
-    power_ac.loc[power_ac['daily_std'] < 0.1,
-                 'value'] = np.nan
-    power_ac.drop('daily_std',
-                  axis=1,
-                  inplace=True)
-    power_cleaned = power_ac['value'].copy()
-    power_cleaned = power_cleaned.reindex(power_ac_copy.index,
-                                          fill_value=np.nan)
+    daily_std = power_ac.resample("D").std() / power_ac.resample("D").mean()
+    power_ac["daily_std"] = daily_std.reindex(index=power_ac.index, method="ffill")
+    power_ac.loc[power_ac["daily_std"] < 0.1, "value"] = np.nan
+    power_ac.drop("daily_std", axis=1, inplace=True)
+    power_cleaned = power_ac["value"].copy()
+    power_cleaned = power_cleaned.reindex(power_ac_copy.index, fill_value=np.nan)
     # High frequency data (less than 10 minutes) has demonstrated
     # potential to have more noise than low frequency  data.
     # Therefore, the  data is resampled to a 15-minute median
     # before running the filter.
     if time_series_sampling_frequency >= 10:
-        power_ac = rdtools.normalization.interpolate(power_ac,
-                                                     freq_string)
+        power_ac = rdtools.normalization.interpolate(power_ac, freq_string)
     else:
-        power_ac = power_ac.resample('15T').median()
+        power_ac = power_ac.resample("15min").median()
         time_series_sampling_frequency = 15
     # If a value for roll_periods is not designated, the function uses
     # the current default logic to set the roll_periods value.
     if roll_periods is None:
-        if (mounting_type == "single_axis_tracking") & \
-          (time_series_sampling_frequency < 30):
+        if (mounting_type == "single_axis_tracking") & (
+            time_series_sampling_frequency < 30
+        ):
             roll_periods = 5
         else:
             roll_periods = 3
     # Replace the lower 10% of daily data with NaN's
-    daily = 0.1 * power_ac.resample('D').max()
-    power_ac['ten_percent_daily'] = daily.reindex(index=power_ac.index,
-                                                  method='ffill')
-    power_ac.loc[power_ac['value'] < power_ac['ten_percent_daily'],
-                 'value'] = np.nan
-    power_ac = power_ac['value']
+    daily = 0.1 * power_ac.resample("D").max()
+    power_ac["ten_percent_daily"] = daily.reindex(index=power_ac.index, method="ffill")
+    power_ac.loc[power_ac["value"] < power_ac["ten_percent_daily"], "value"] = np.nan
+    power_ac = power_ac["value"]
     # Calculate the maximum rolling range for the time series.
     rolling_range_max = _calculate_max_rolling_range(power_ac, roll_periods)
     # Determine clipping values based on the maximum rolling range in
     # the rolling window, and the user-specified rolling range threshold
-    roll_clip_mask = (rolling_range_max < rolling_range_max_cutoff)
+    roll_clip_mask = rolling_range_max < rolling_range_max_cutoff
     # Set values within roll_periods values from a True instance
     # as True as well
-    clipping = (roll_clip_mask.rolling(roll_periods).sum() >= 1)
+    clipping = roll_clip_mask.rolling(roll_periods).sum() >= 1
     # High frequency was resampled to 15-minute average data.
     # The following lines apply the 15-minute clipping filter to the
     # original 15-minute data resulting in a clipping filter on the original
     # data.
-    if (original_time_series_sampling_frequency < 10):
-        clipping = clipping.reindex(index=power_ac_copy.index,
-                                    method='ffill')
+    if original_time_series_sampling_frequency < 10:
+        clipping = clipping.reindex(index=power_ac_copy.index, method="ffill")
         # Subset the series where clipping filter == True
         clip_pwr = power_ac_copy[clipping]
-        clip_pwr = clip_pwr.reindex(index=power_ac_copy.index,
-                                    fill_value=np.nan)
+        clip_pwr = clip_pwr.reindex(index=power_ac_copy.index, fill_value=np.nan)
         # Set any values within the clipping max + clipping min threshold
         # as clipping. This is done specifically for capturing the noise
         # for high frequency data sets.
-        daily_mean = clip_pwr.resample('D').mean()
-        df_daily = daily_mean.to_frame(name='mean')
-        df_daily['clipping_max'] = clip_pwr.groupby(pd.Grouper(freq='D')
-                                                    ).quantile(0.99)
-        df_daily['clipping_min'] = clip_pwr.groupby(pd.Grouper(freq='D')
-                                                    ).quantile(0.075)
-        daily_clipping_max = df_daily['clipping_max'].reindex(
-            index=power_ac_copy.index, method='ffill')
-        daily_clipping_min = df_daily['clipping_min'].reindex(
-            index=power_ac_copy.index, method='ffill')
+        daily_mean = clip_pwr.resample("D").mean()
+        df_daily = daily_mean.to_frame(name="mean")
+        df_daily["clipping_max"] = clip_pwr.groupby(pd.Grouper(freq="D")).agg(
+            utilities.robust_quantile, q=0.99
+        )
+        df_daily["clipping_min"] = clip_pwr.groupby(pd.Grouper(freq="D")).agg(
+            utilities.robust_quantile, q=0.075
+        )
+        daily_clipping_max = df_daily["clipping_max"].reindex(
+            index=power_ac_copy.index, method="ffill"
+        )
+        daily_clipping_min = df_daily["clipping_min"].reindex(
+            index=power_ac_copy.index, method="ffill"
+        )
     else:
         # Find the maximum and minimum power_ac level where clipping is
         # detected each day.
-        clipping = clipping.reindex(index=power_ac_copy.index,
-                                    method='ffill')
+        clipping = clipping.reindex(index=power_ac_copy.index, method="ffill")
         clip_pwr = power_ac_copy[clipping]
-        clip_pwr = clip_pwr.reindex(index=power_ac_copy.index,
-                                    fill_value=np.nan)
-        daily_clipping_max = clip_pwr.resample('D').max()
-        daily_clipping_min = clip_pwr.resample('D').min()
+        clip_pwr = clip_pwr.reindex(index=power_ac_copy.index, fill_value=np.nan)
+        daily_clipping_max = clip_pwr.resample("D").max()
+        daily_clipping_min = clip_pwr.resample("D").min()
         daily_clipping_min = daily_clipping_min.reindex(
-            index=power_ac_copy.index, method='ffill')
+            index=power_ac_copy.index, method="ffill"
+        )
         daily_clipping_max = daily_clipping_max.reindex(
-            index=power_ac_copy.index, method='ffill')
+            index=power_ac_copy.index, method="ffill"
+        )
     # Set all values to clipping that are between the maximum and minimum
     # power_ac levels where clipping was found on a daily basis.
-    clipping_difference = (daily_clipping_max -
-                           daily_clipping_min)/daily_clipping_max
-    final_clip = ((daily_clipping_min <= power_ac_copy) &
-                  (power_ac_copy <= daily_clipping_max) &
-                  (clipping_difference <= 0.025)) \
-        | ((power_ac_copy <= daily_clipping_max*1.0025) &
-           (power_ac_copy >= daily_clipping_max*0.9975) &
-           (clipping_difference > 0.025))\
-        | ((power_ac_copy <= daily_clipping_min*1.0025) &
-           (power_ac_copy >= daily_clipping_min*0.9975) &
-           (clipping_difference > 0.025))
-    final_clip = final_clip.reindex(index=power_ac_copy.index,
-                                    fill_value=False)
+    clipping_difference = (daily_clipping_max - daily_clipping_min) / daily_clipping_max
+    final_clip = (
+        (
+            (daily_clipping_min <= power_ac_copy)
+            & (power_ac_copy <= daily_clipping_max)
+            & (clipping_difference <= 0.025)
+        )
+        | (
+            (power_ac_copy <= daily_clipping_max * 1.0025)
+            & (power_ac_copy >= daily_clipping_max * 0.9975)
+            & (clipping_difference > 0.025)
+        )
+        | (
+            (power_ac_copy <= daily_clipping_min * 1.0025)
+            & (power_ac_copy >= daily_clipping_min * 0.9975)
+            & (clipping_difference > 0.025)
+        )
+    )
+    final_clip = final_clip.reindex(index=power_ac_copy.index, fill_value=False)
     # Check for an overall clipping threshold that should apply to all data
     clip_power_ac = power_ac_copy[final_clip]
-    final_clip = _apply_overall_clipping_threshold(power_cleaned,
-                                                   final_clip,
-                                                   clip_power_ac)
+    final_clip = _apply_overall_clipping_threshold(
+        power_cleaned, final_clip, clip_power_ac
+    )
     return ~final_clip
 
 
@@ -561,58 +721,69 @@ def _calculate_xgboost_model_features(df, sampling_frequency):
         model.
     """
     # Min-max normalize
-    max_min_diff = (df['value'].max() - df['value'].min())
-    df['scaled_value'] = (df['value'] - df['value'].min()) / max_min_diff
+    max_min_diff = df["value"].max() - df["value"].min()
+    df["scaled_value"] = (df["value"] - df["value"].min()) / max_min_diff
     if sampling_frequency < 10:
         rolling_window = 5
     elif (sampling_frequency >= 10) and (sampling_frequency < 60):
         rolling_window = 3
     else:
         rolling_window = 2
-    df['rolling_average'] = df['scaled_value']\
-        .rolling(window=rolling_window, center=True).mean()
+    df["rolling_average"] = (
+        df["scaled_value"].rolling(window=rolling_window, center=True).mean()
+    )
     # First-order derivative
-    df['first_order_derivative_backward'] = df.scaled_value.diff()
-    df['first_order_derivative_forward'] = df.scaled_value.shift(-1).diff()
+    df["first_order_derivative_backward"] = df.scaled_value.diff()
+    df["first_order_derivative_forward"] = df.scaled_value.shift(-1).diff()
     # First order derivative for the rolling average
-    df['first_order_derivative_backward_rolling_avg'] = \
-        df.rolling_average.diff()
-    df['first_order_derivative_forward_rolling_avg'] = \
-        df.rolling_average.shift(-1).diff()
+    df["first_order_derivative_backward_rolling_avg"] = df.rolling_average.diff()
+    df["first_order_derivative_forward_rolling_avg"] = df.rolling_average.shift(
+        -1
+    ).diff()
     # Calculate the maximum rolling range for the power or energy time series.
-    df['deriv_max'] = _calculate_max_rolling_range(
-        power_ac=df['scaled_value'], roll_periods=rolling_window)
+    df["deriv_max"] = _calculate_max_rolling_range(
+        power_ac=df["scaled_value"], roll_periods=rolling_window
+    )
     # Get the max value for the day and see how each value compares
-    df['date'] = list(pd.to_datetime(pd.Series(df.index)).dt.date)
-    df['daily_max'] = df.groupby(['date'])['scaled_value'].transform(max)
+    df["date"] = list(pd.to_datetime(pd.Series(df.index)).dt.date)
+    df["daily_max"] = df.groupby(["date"])["scaled_value"].transform("max")
+
     # Get percentage of daily max
-    df['percent_daily_max'] = df['scaled_value'] / (df['daily_max'] + .00001)
+    df["percent_daily_max"] = df["scaled_value"] / (df["daily_max"] + 0.00001)
     # Get the standard deviation, median and mean of the first order
     # derivative over the rolling_window period
-    df['deriv_backward_rolling_stdev'] = \
-        df['first_order_derivative_backward']\
-        .rolling(window=rolling_window, center=True).std()
-    df['deriv_backward_rolling_mean'] = \
-        df['first_order_derivative_backward']\
-        .rolling(window=rolling_window, center=True).mean()
-    df['deriv_backward_rolling_median'] = \
-        df['first_order_derivative_backward']\
-        .rolling(window=rolling_window, center=True).median()
-    df['deriv_backward_rolling_max'] = \
-        df['first_order_derivative_backward']\
-        .rolling(window=rolling_window, center=True).max()
-    df['deriv_backward_rolling_min'] = \
-        df['first_order_derivative_backward']\
-        .rolling(window=rolling_window, center=True).min()
+    df["deriv_backward_rolling_stdev"] = (
+        df["first_order_derivative_backward"]
+        .rolling(window=rolling_window, center=True)
+        .std()
+    )
+    df["deriv_backward_rolling_mean"] = (
+        df["first_order_derivative_backward"]
+        .rolling(window=rolling_window, center=True)
+        .mean()
+    )
+    df["deriv_backward_rolling_median"] = (
+        df["first_order_derivative_backward"]
+        .rolling(window=rolling_window, center=True)
+        .median()
+    )
+    df["deriv_backward_rolling_max"] = (
+        df["first_order_derivative_backward"]
+        .rolling(window=rolling_window, center=True)
+        .max()
+    )
+    df["deriv_backward_rolling_min"] = (
+        df["first_order_derivative_backward"]
+        .rolling(window=rolling_window, center=True)
+        .min()
+    )
     return df
 
 
-def xgboost_clip_filter(power_ac,
-                        mounting_type='fixed'):
+def xgboost_clip_filter(power_ac, mounting_type="fixed"):
     """
-    This function generates the features to run through the XGBoost
-    clipping model, runs the data through the model, and generates
-    model outputs.
+    This filter uses and XGBoost model to filter out
+    clipping periods in AC power or energy time series.
 
     Parameters
     ----------
@@ -638,108 +809,301 @@ def xgboost_clip_filter(power_ac,
        detection techniques in AC power time series", 2021 IEEE 48th Photovoltaic
        Specialists Conference (PVSC). DOI: 10.1109/PVSC43889.2021.9518733.
     """
-    # Throw a warning that this is still an experimental filter
-    warnings.warn("The XGBoost filter is an experimental clipping filter "
-                  "that is still under development. The API, results, and "
-                  "default behaviors may change in future releases (including "
-                  "MINOR and PATCH). Use at your own risk!")
     # Load in the XGBoost model
     xgboost_clipping_model = _load_xgboost_clipping_model()
     # Format the power or energy time series
-    power_ac, index_name = _format_clipping_time_series(power_ac,
-                                                        mounting_type)
+    power_ac, index_name = _format_clipping_time_series(power_ac, mounting_type)
     # Test if the data sampling frequency is variable, and flag it if the time
     # series sampling frequency is less than 95% consistent.
     _check_data_sampling_frequency(power_ac)
     # Get the most common sampling frequency
-    sampling_frequency = int((power_ac.index.to_series().diff() / pd.Timedelta('60s')).mode()[0])
-    freq_string = str(sampling_frequency) + "T"
+    sampling_frequency = int(
+        (power_ac.index.to_series().diff() / pd.Timedelta("60s")).mode()[0]
+    )
+    freq_string = str(sampling_frequency) + "min"
     # Min-max normalize
     # Resample the series based on the most common sampling frequency
-    power_ac_interpolated = rdtools.normalization.interpolate(power_ac,
-                                                              freq_string)
+    power_ac_interpolated = rdtools.normalization.interpolate(power_ac, freq_string)
     # Convert the Pandas series to a dataframe.
     power_ac_df = power_ac_interpolated.to_frame()
     # Get the sampling frequency (as a continuous feature variable)
-    power_ac_df['sampling_frequency'] = sampling_frequency
+    power_ac_df["sampling_frequency"] = sampling_frequency
     # If the data sampling frequency of the series is more frequent than
     # once every five minute, resample at 5-minute intervals before
     # plugging into the model
     if sampling_frequency < 5:
-        power_ac_df = power_ac_df.resample('5T').mean()
-        power_ac_df['sampling_frequency'] = 5
+        power_ac_df = power_ac_df.resample("5min").mean()
+        power_ac_df["sampling_frequency"] = 5
     # Add mounting type as a column
-    power_ac_df['mounting_config'] = mounting_type
+    power_ac_df["mounting_config"] = mounting_type
     # Generate the features for the model.
-    power_ac_df = _calculate_xgboost_model_features(power_ac_df,
-                                                    sampling_frequency)
+    power_ac_df = _calculate_xgboost_model_features(power_ac_df, sampling_frequency)
     # Convert single-axis tracking/fixed tilt to a boolean variable
-    power_ac_df.loc[power_ac_df['mounting_config'] == "single_axis_tracking",
-                    'mounting_config_bool'] = 1
-    power_ac_df.loc[power_ac_df['mounting_config'] == 'fixed',
-                    'mounting_config_bool'] = 0
+    power_ac_df.loc[
+        power_ac_df["mounting_config"] == "single_axis_tracking", "mounting_config_bool"
+    ] = 1
+    power_ac_df.loc[
+        power_ac_df["mounting_config"] == "fixed", "mounting_config_bool"
+    ] = 0
     # Subset the dataframe to only include model inputs
-    power_ac_df = power_ac_df[['first_order_derivative_backward',
-                               'first_order_derivative_forward',
-                               'first_order_derivative_backward_rolling_avg',
-                               'first_order_derivative_forward_rolling_avg',
-                               'sampling_frequency',
-                               'mounting_config_bool', 'scaled_value',
-                               'rolling_average', 'daily_max',
-                               'percent_daily_max', 'deriv_max',
-                               'deriv_backward_rolling_stdev',
-                               'deriv_backward_rolling_mean',
-                               'deriv_backward_rolling_median',
-                               'deriv_backward_rolling_min',
-                               'deriv_backward_rolling_max']].dropna()
+    power_ac_df = power_ac_df[
+        [
+            "first_order_derivative_backward",
+            "first_order_derivative_forward",
+            "first_order_derivative_backward_rolling_avg",
+            "first_order_derivative_forward_rolling_avg",
+            "sampling_frequency",
+            "mounting_config_bool",
+            "scaled_value",
+            "rolling_average",
+            "daily_max",
+            "percent_daily_max",
+            "deriv_max",
+            "deriv_backward_rolling_stdev",
+            "deriv_backward_rolling_mean",
+            "deriv_backward_rolling_median",
+            "deriv_backward_rolling_min",
+            "deriv_backward_rolling_max",
+        ]
+    ].dropna()
     # Run the power_ac_df dataframe through the XGBoost ML model,
     # and return boolean outputs
-    xgb_predictions = pd.Series(xgboost_clipping_model.predict(
-        power_ac_df).astype(bool))
+    xgb_predictions = pd.Series(
+        xgboost_clipping_model.predict(power_ac_df).astype(bool)
+    )
     # Add datetime as an index
     xgb_predictions.index = power_ac_df.index
     # Reindex with the original data index. Re-adjusts to original
     # data frequency.
-    xgb_predictions = xgb_predictions.reindex(index=power_ac.index,
-                                              method='ffill')
-    xgb_predictions = xgb_predictions.fillna(False)
+    xgb_predictions = xgb_predictions.reindex(index=power_ac.index, method="ffill")
+    xgb_predictions.loc[xgb_predictions.isnull()] = False
+
     # Regenerate the features with the original sampling frequency
     # (pre-resampling or interpolation).
     power_ac_df = power_ac.to_frame()
-    power_ac_df = _calculate_xgboost_model_features(power_ac_df,
-                                                    sampling_frequency)
+    power_ac_df = _calculate_xgboost_model_features(power_ac_df, sampling_frequency)
     # Add back in XGB predictions for the original dataframe
-    power_ac_df['xgb_predictions'] = xgb_predictions.astype(bool)
-    power_ac_df_clipping = power_ac_df[power_ac_df['xgb_predictions']
-                                       .fillna(False)]
+    power_ac_df["xgb_predictions"] = xgb_predictions.astype(bool)
+    power_ac_df_clipping = power_ac_df[power_ac_df["xgb_predictions"].fillna(False)]
     # Make everything between the
     # max and min values found for clipping each day as clipping.
-    power_ac_df_clipping_max = power_ac_df_clipping['scaled_value']\
-        .resample('D').max()
-    power_ac_df_clipping_min = power_ac_df_clipping['scaled_value']\
-        .resample('D').min()
-    power_ac_df['daily_clipping_min'] = power_ac_df_clipping_min.reindex(
-        index=power_ac_df.index, method='ffill')
-    power_ac_df['daily_clipping_max'] = power_ac_df_clipping_max.reindex(
-        index=power_ac_df.index, method='ffill')
+    power_ac_df_clipping_max = power_ac_df_clipping["scaled_value"].resample("D").max()
+    power_ac_df_clipping_min = power_ac_df_clipping["scaled_value"].resample("D").min()
+    power_ac_df["daily_clipping_min"] = power_ac_df_clipping_min.reindex(
+        index=power_ac_df.index, method="ffill"
+    )
+    power_ac_df["daily_clipping_max"] = power_ac_df_clipping_max.reindex(
+        index=power_ac_df.index, method="ffill"
+    )
     if sampling_frequency < 5:
-        power_ac_df['daily_clipping_max_threshold'] = \
-            (power_ac_df['daily_clipping_max'] * .96)
-        power_ac_df['clipping cutoff'] = \
-            power_ac_df[['daily_clipping_min',
-                         'daily_clipping_max_threshold']].max(axis=1)
-        final_clip = ((power_ac_df['clipping cutoff'] <=
-                       power_ac_df['scaled_value'])
-                      & (power_ac_df['percent_daily_max'] >= .9)
-                      & (power_ac_df['scaled_value'] <=
-                         power_ac_df['daily_clipping_max'] * 1.0025)
-                      & (power_ac_df['scaled_value'] >= .1))
+        power_ac_df["daily_clipping_max_threshold"] = (
+            power_ac_df["daily_clipping_max"] * 0.96
+        )
+        power_ac_df["clipping cutoff"] = power_ac_df[
+            ["daily_clipping_min", "daily_clipping_max_threshold"]
+        ].max(axis=1)
+        final_clip = (
+            (power_ac_df["clipping cutoff"] <= power_ac_df["scaled_value"])
+            & (power_ac_df["percent_daily_max"] >= 0.9)
+            & (
+                power_ac_df["scaled_value"]
+                <= power_ac_df["daily_clipping_max"] * 1.0025
+            )
+            & (power_ac_df["scaled_value"] >= 0.1)
+        )
     else:
-        final_clip = ((power_ac_df['daily_clipping_min'] <=
-                       power_ac_df['scaled_value'])
-                      & (power_ac_df['percent_daily_max'] >= .95)
-                      & (power_ac_df['scaled_value'] <=
-                         power_ac_df['daily_clipping_max'] * 1.0025)
-                      & (power_ac_df['scaled_value'] >= .1))
+        final_clip = (
+            (power_ac_df["daily_clipping_min"] <= power_ac_df["scaled_value"])
+            & (power_ac_df["percent_daily_max"] >= 0.95)
+            & (
+                power_ac_df["scaled_value"]
+                <= power_ac_df["daily_clipping_max"] * 1.0025
+            )
+            & (power_ac_df["scaled_value"] >= 0.1)
+        )
     final_clip = final_clip.reindex(index=power_ac.index, fill_value=False)
     return ~(final_clip.astype(bool))
+
+
+def two_way_window_filter(
+    series, roll_period=pd.to_timedelta("7 Days"), outlier_threshold=0.03
+):
+    """
+    Removes anomalies based on forward and backward window of the rolling median. Points beyond
+    outlier_threshold from both the forward and backward-looking median are excluded by the filter.
+    Designed for use after the aggregation step in the RdTools trend analysis workflows.
+
+    Parameters
+    ----------
+    series: pandas.Series
+        Pandas time series to be filtered.
+    roll_period : int or timedelta, default 7 days
+        The window to use for backward and forward
+        rolling medians for detecting outliers.
+    outlier_threshold : default is 0.03 meaning 3%
+
+    Returns
+    -------
+    pandas.Series
+        Boolean Series excluding anomalies
+    """
+
+    series = series / series.quantile(0.99)
+    backward_median = series.rolling(roll_period, min_periods=5, closed="both").median()
+    forward_median = (
+        series.loc[::-1].rolling(roll_period, min_periods=5, closed="both").median()
+    )
+
+    backward_dif = abs(series - backward_median)
+    forward_dif = abs(series - forward_median)
+
+    # This is a change from Matt's original logic, which can exclude
+    # points with a NaN median
+    backward_dif.fillna(0, inplace=True)
+    forward_dif.fillna(0, inplace=True)
+
+    dif_min = backward_dif.combine(forward_dif, min, 0)
+
+    mask = dif_min < outlier_threshold
+
+    return mask
+
+
+def insolation_filter(insolation, quantile=0.1):
+    """
+    A simple quantile filter. Primary application in RdTools is to exclude
+    low insolation points after the aggregation step in the trend analysis
+    workflows.
+
+    Parameters
+    ----------
+    insolation: pandas.Series
+        Pandas time series to be filtered. Usually insolation.
+    quantile : float, default 0.1
+        the minimum quantile above which data is kept.
+
+    Returns
+    -------
+    pandas.Series
+        Boolean Series excluding points below the quantile threshold
+    """
+
+    limit = insolation.quantile(quantile)
+    mask = insolation >= limit
+    return mask
+
+
+def hampel_filter(series, k="14d", t0=3):
+    """
+    Hampel outlier designed for use after the aggregation step
+    in the RdTools trend analysis workflows, but broadly
+    applicable.
+
+    Parameters
+    ----------
+    series : pandas.Series
+        daily normalized time series
+    k : int or time offset string e.g. 'd', default 14d
+        size of window including the sample; 14d is equal to 7 days on either
+        side of value
+    t0 : int, default 3
+        Threshold value, defaults to 3 sigma Pearson's rule.
+    Returns
+    -------
+    pandas.Series
+        Boolean Series of whether the given measurement is within t0 sigma of the
+        rolling median.  False points indicate outliers to be excluded.
+    """
+    # Hampel Filter
+    L = 1.4826
+    rolling_median = series.rolling(k, center=True, min_periods=1).median()
+    difference = np.abs(rolling_median - series)
+    median_abs_deviation = difference.rolling(k, center=True, min_periods=1).median()
+    threshold = t0 * L * median_abs_deviation
+    return difference <= threshold
+
+
+def _tukey_fence(series, k=1.5):
+    "Calculates the upper and lower tukey fences from a pandas series"
+    p25 = series.quantile(0.25)
+    p75 = series.quantile(0.75)
+    iqr = p75 - p25
+    upper_fence = k * iqr + p75
+    lower_fence = p25 - 1.5 * iqr
+    return lower_fence, upper_fence
+
+
+def directional_tukey_filter(series, roll_period=pd.to_timedelta("7 Days"), k=1.5):
+    """
+    Performs a forward and backward looking rolling Tukey filter. Points more than k*IQR
+    above the third quartile or below the first quartile are classified as outliers. Points
+    must only pass one of either the forward or backward looking filters to be kept. Designed
+    for use after the aggregation step in the RdTools trend analysis workflows
+
+
+    Parameters
+    ----------
+    series: pandas.Series
+        Pandas time series to be filtered.
+    roll_period : int or timedelta, default 7 days
+        The window to use for backward and forward
+        rolling medians for detecting outliers.
+    k : float
+        The Tukey parameter. Points more than k*IQR above the third quartile
+        or below the first quartile are classified as outliers.
+
+    Returns
+    -------
+    pandas.Series
+        Boolean Series excluding anomalies
+    """
+
+    backward_median = series.rolling(roll_period, min_periods=5, closed="both").median()
+    forward_median = (
+        series.loc[::-1].rolling(roll_period, min_periods=5, closed="both").median()
+    )
+    backward_dif = series - backward_median
+    forward_dif = series - forward_median
+
+    backward_dif_lower, backward_dif_upper = _tukey_fence(backward_dif, k)
+    forward_dif_lower, forward_dif_upper = _tukey_fence(forward_dif, k)
+
+    mask = ((forward_dif > forward_dif_lower) & (forward_dif < forward_dif_upper)) | (
+        (backward_dif > backward_dif_lower) & (backward_dif < backward_dif_upper)
+    )
+    return mask
+
+
+def hour_angle_filter(series, lat, lon, min_hour_angle=-30, max_hour_angle=30):
+    """
+    Creates a filter based on the hour angle of the sun (15 degrees per hour)
+
+    Parameters
+    ----------
+    series: pandas.Series
+        Pandas time series to be filtered
+    lat: float
+        location latitude
+    lon: float
+        location longitude
+    min_hour_angle: float
+        minimum hour angle to include
+    max_hour_angle: float
+        maximum hour angle to include
+
+    Returns
+    -------
+    pandas.Series
+        Boolean Series excluding points outside the specified hour
+        angle range
+
+    """
+
+    times = series.index
+    spa = pvlib.solarposition.get_solarposition(times, lat, lon)
+    eot = spa["equation_of_time"]
+    hour_angle = pvlib.solarposition.hour_angle(times, lon, eot)
+    hour_angle = pd.Series(hour_angle, index=times)
+    mask = (hour_angle >= min_hour_angle) & (hour_angle <= max_hour_angle)
+
+    return mask
diff --git a/rdtools/models/xgboost_clipping_model.json b/rdtools/models/xgboost_clipping_model.json
index f76046b29..abdcd7b75 100644
--- a/rdtools/models/xgboost_clipping_model.json
+++ b/rdtools/models/xgboost_clipping_model.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/rdtools/normalization.py b/rdtools/normalization.py
index 8629c2373..d5afacfcf 100644
--- a/rdtools/normalization.py
+++ b/rdtools/normalization.py
@@ -1,7 +1,6 @@
 '''Functions for normalizing, rescaling, and regularizing PV system data.'''
 
 import pandas as pd
-import pvlib
 import numpy as np
 from scipy.optimize import minimize
 import warnings
@@ -176,138 +175,6 @@ def normalize_with_pvwatts(energy, pvwatts_kws):
     return energy_normalized, insolation
 
 
-@deprecated(since='2.0.0', removal='3.0.0',
-            alternative='normalize_with_expected_power')
-def sapm_dc_power(pvlib_pvsystem, met_data):
-    '''
-    Use Sandia Array Performance Model (SAPM) and PVWatts to compute the
-    effective DC power using measured irradiance, ambient temperature, and wind
-    speed. Effective irradiance and cell temperature are calculated with SAPM,
-    and DC power with PVWatts.
-
-    .. warning::
-        The ``pvlib_pvsystem`` argument must be a ``pvlib.pvsystem.LocalizedPVSystem``
-        object, which is no longer available as of pvlib 0.9.0.  To use this function
-        you'll need to use an older version of pvlib.
-
-    Parameters
-    ----------
-    pvlib_pvsystem : pvlib.pvsystem.LocalizedPVSystem
-        Object contains orientation, geographic coordinates, equipment
-        constants (including DC rated power in watts).  The object must also
-        specify either the ``temperature_model_parameters`` attribute or both
-        ``racking_model`` and ``module_type`` attributes to infer the temperature model parameters.
-    met_data : pandas.DataFrame
-        Measured irradiance components, ambient temperature, and wind speed.
-        Expected met_data DataFrame column names:
-        ['DNI', 'GHI', 'DHI', 'Temperature', 'Wind Speed']
-
-    Note
-    ----
-    All series are assumed to be right-labeled, meaning that the recorded
-    value at a given timestamp refers to the previous time interval
-
-    Returns
-    -------
-    power_dc : pandas.Series
-        DC power in watts derived using Sandia Array Performance Model and
-        PVWatts.
-    effective_poa : pandas.Series
-        Effective irradiance calculated with SAPM
-    '''
-
-    solar_position = pvlib_pvsystem.get_solarposition(met_data.index)
-
-    total_irradiance = pvlib_pvsystem\
-        .get_irradiance(solar_position['zenith'],
-                        solar_position['azimuth'],
-                        met_data['DNI'],
-                        met_data['GHI'],
-                        met_data['DHI'])
-
-    aoi = pvlib_pvsystem.get_aoi(solar_position['zenith'],
-                                 solar_position['azimuth'])
-
-    airmass = pvlib_pvsystem\
-        .get_airmass(solar_position=solar_position, model='kastenyoung1989')
-    airmass_absolute = airmass['airmass_absolute']
-
-    effective_irradiance = pvlib.pvsystem\
-        .sapm_effective_irradiance(poa_direct=total_irradiance['poa_direct'],
-                                   poa_diffuse=total_irradiance['poa_diffuse'],
-                                   airmass_absolute=airmass_absolute,
-                                   aoi=aoi,
-                                   module=pvlib_pvsystem.module)
-
-    temp_cell = pvlib_pvsystem\
-        .sapm_celltemp(total_irradiance['poa_global'],
-                       met_data['Temperature'],
-                       met_data['Wind Speed'])
-
-    power_dc = pvlib_pvsystem\
-        .pvwatts_dc(g_poa_effective=effective_irradiance,
-                    temp_cell=temp_cell)
-
-    return power_dc, effective_irradiance
-
-
-@deprecated(since='2.0.0', removal='3.0.0',
-            alternative='normalize_with_expected_power')
-def normalize_with_sapm(energy, sapm_kws):
-    '''
-    Normalize system AC energy output given measured met_data and
-    meteorological data. This method relies on the Sandia Array Performance
-    Model (SAPM) to compute the effective DC energy using measured irradiance,
-    ambient temperature, and wind speed.
-
-    Energy timeseries and met_data timeseries can be different granularities.
-
-    .. warning::
-        The ``pvlib_pvsystem`` argument must be a ``pvlib.pvsystem.LocalizedPVSystem``
-        object, which is no longer available as of pvlib 0.9.0.  To use this function
-        you'll need to use an older version of pvlib.
-
-    Parameters
-    ----------
-    energy : pandas.Series
-        Energy time series to be normalized  in watt hours.
-        Must be a right-labeled regular time series.
-    sapm_kws : dict
-        Dictionary of parameters required for sapm_dc_power function. See
-        Other Parameters.
-
-    Other Parameters
-    ---------------
-    pvlib_pvsystem : pvlib.pvsystem.LocalizedPVSystem object
-        Object contains orientation, geographic coordinates, equipment
-        constants (including DC rated power in watts).  The object must also
-        specify either the ``temperature_model_parameters`` attribute or both
-        ``racking_model`` and ``module_type`` to infer the model parameters.
-    met_data : pandas.DataFrame
-        Measured met_data, ambient temperature, and wind speed.  Expected
-        column names are ['DNI', 'GHI', 'DHI', 'Temperature', 'Wind Speed']
-
-    Note
-    ----
-    All series are assumed to be right-labeled, meaning that the recorded
-    value at a given timestamp refers to the previous time interval
-
-    Returns
-    -------
-    energy_normalized : pandas.Series
-        Energy divided by Sandia Model DC energy.
-    insolation : pandas.Series
-        Insolation associated with each normalized point
-    '''
-
-    power_dc, irrad = sapm_dc_power(**sapm_kws)
-
-    energy_normalized, insolation = normalize_with_expected_power(energy, power_dc, irrad,
-                                                                  pv_input='energy')
-
-    return energy_normalized, insolation
-
-
 def _delta_index(series):
     '''
     Takes a pandas series with a DatetimeIndex as input and
@@ -542,15 +409,14 @@ def energy_from_power(power, target_frequency=None, max_timedelta=None,
     median_step_ns = t_steps.median()
 
     if target_frequency is None:
-        # 'N' is the Pandas offset alias for ns
-        target_frequency = str(int(median_step_ns)) + 'N'
+        target_frequency = str(int(median_step_ns)) + 'ns'
 
     if max_timedelta is None:
         max_interval_nanoseconds = median_step_ns
     else:
         max_interval_nanoseconds = max_timedelta.total_seconds() * 10.0**9
     # set max_timedelta for use in interpolate and _aggregate
-    max_timedelta = pd.to_timedelta(f'{max_interval_nanoseconds} nanos')
+    max_timedelta = pd.to_timedelta(f'{max_interval_nanoseconds} ns')
     try:
         freq_interval_size_ns = \
             pd.tseries.frequencies.to_offset(target_frequency).nanos
@@ -612,9 +478,9 @@ def _aggregate(time_series, target_frequency, max_timedelta, series_type):
     '''
 
     # series that has same index as desired output
-    output_dummy = time_series.resample(target_frequency,
-                                        closed='right',
-                                        label='right').sum()
+    output_dummy = time_series.resample(
+        target_frequency, closed="right", label="right", origin="start"
+    ).sum()
 
     union_index = time_series.index.union(output_dummy.index)
     time_series = time_series.dropna()
@@ -655,13 +521,13 @@ def _aggregate(time_series, target_frequency, max_timedelta, series_type):
         raise ValueError("series_type must be either 'instantaneous' or 'right_labeled', "
                          "not '{}'".format(series_type))
 
-    series_sum = pd.Series(data=series_sum, index=time_series.index[1:])
+    series_sum = pd.Series(data=np.insert(series_sum, 0, np.nan), index=time_series.index)
 
-    aggregated = series_sum.resample(target_frequency,
-                                     closed='right',
-                                     label='right').sum(min_count=1)
+    aggregated = series_sum.resample(
+        target_frequency, closed="right", label="right", origin="start"
+    ).sum(min_count=1)
 
-    return aggregated
+    return aggregated[1:]
 
 
 def _interpolate_series(time_series, target_index, max_timedelta=None,
@@ -736,7 +602,7 @@ def _interpolate_series(time_series, target_index, max_timedelta=None,
     df = df.sort_index()
 
     # calculate the gap size in the original data (timestamps)
-    df['gapsize_ns'] = df['gapsize_ns'].fillna(method='bfill')
+    df['gapsize_ns'] = df['gapsize_ns'].bfill()
     df.loc[valid_indput_index, 'gapsize_ns'] = 0
 
     # perform the interpolation when the max gap size criterion is satisfied
diff --git a/rdtools/plotting.py b/rdtools/plotting.py
index 0f3d69965..93a07bac4 100644
--- a/rdtools/plotting.py
+++ b/rdtools/plotting.py
@@ -51,9 +51,12 @@ def degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, normalized_yield,
     scatter_alpha : float, default 0.5
         Transparency of the scatter plot
     detailed : bool, optional
-        Color code points by the number of times they get used in calculating
-        Rd slopes.  Default color: 2 times (as a start and endpoint). Green:
-        1 time. Red: 0 times.
+        Include extra information in the returned figure:
+
+        * Color code points by the number of times they get used in calculating
+          Rd slopes.  Default color: 2 times (as a start and endpoint). Green:
+          1 time. Red: 0 times.
+        * The number of year-on-year slopes contributing to the histogram.
 
     Note
     ----
@@ -92,11 +95,15 @@ def degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, normalized_yield,
     ax2.set_xlim(hist_xmin, hist_xmax)
 
     label = (
-        ' $R_{d}$ = %.2f%%/yr \n'
-        'confidence interval: \n'
-        '%.2f to %.2f %%/yr' % (yoy_rd, yoy_ci[0], yoy_ci[1])
+        f" $R_{{d}}$ = {yoy_rd:.2f}%/yr \n"
+        f"confidence interval: \n"
+        f"{yoy_ci[0]:.2f} to {yoy_ci[1]:.2f} %/yr"
     )
-    ax2.annotate(label, xy=(0.5, 0.7), xycoords='axes fraction',
+    if detailed:
+        n = yoy_values.notnull().sum()
+        label += '\n' + f'n = {n}'
+
+    ax2.annotate(label, xy=(0.5, 0.6), xycoords='axes fraction',
                  bbox=dict(facecolor='white', edgecolor=None, alpha=0))
     ax2.set_xlabel('Annual degradation (%)')
 
@@ -105,8 +112,9 @@ def degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, normalized_yield,
         colors = yoy_info['usage_of_points'].map({0: 'red', 1: 'green', 2: plot_color})
     else:
         colors = plot_color
-    ax1.scatter(renormalized_yield.index, renormalized_yield,
-                c=colors, alpha=scatter_alpha)
+    ax1.scatter(
+        renormalized_yield.index, renormalized_yield, c=colors, alpha=scatter_alpha, linewidths=0
+    )
 
     ax1.plot(x, y, 'k--', linewidth=3)
     ax1.set_xlabel('Date')
@@ -340,11 +348,6 @@ def availability_summary_plots(power_system, power_subsystem, loss_total,
     :py:meth:`.availability.AvailabilityAnalysis.plot` instead of running
     this function manually.
 
-    .. warning::
-        The availability module is currently experimental. The API, results,
-        and default behaviors may change in future releases (including MINOR
-        and PATCH releases) as the code matures.
-
     Parameters
     ----------
     power_system : pandas.Series
@@ -382,11 +385,6 @@ def availability_summary_plots(power_system, power_subsystem, loss_total,
     ...     aa.power_subsystem, aa.loss_total, aa.energy_cumulative,
     ...     aa.energy_expected_rescaled, aa.outage_info)
     """
-    warnings.warn(
-        'The availability module is currently experimental. The API, results, '
-        'and default behaviors may change in future releases (including MINOR '
-        'and PATCH releases) as the code matures.'
-    )
 
     fig = plt.figure(figsize=(16, 8))
     gs = fig.add_gridspec(3, 2)
@@ -431,3 +429,76 @@ def availability_summary_plots(power_system, power_subsystem, loss_total,
     ax4.legend()
     ax4.set_ylabel('Cumulative Energy [kWh]')
     return fig
+
+
+def degradation_timeseries_plot(yoy_info, rolling_days=365, include_ci=True,
+                                fig=None, plot_color=None, ci_color=None, **kwargs):
+    '''
+    Plot resampled time series of degradation trend with time
+
+    Parameters
+    ----------
+    yoy_info : dict
+        a dictionary with keys:
+
+        * YoY_values - pandas series of right-labeled year on year slopes
+    rolling_days: int, default 365
+        Number of days for rolling window. Note that the window must contain
+        at least 50% of datapoints to be included in rolling plot.
+    include_ci : bool, default True
+        calculate and plot 2-sigma confidence intervals along with rolling median
+    fig     : matplotlib, optional
+        fig object to add new plot to (first set of axes only)
+    plot_color : str, optional
+        color of the timeseries trendline
+    ci_color : str, optional
+        color of the confidence interval 'fuzz'
+    kwargs :
+        Extra parameters passed to matplotlib.pyplot.axis.plot()
+
+    Note
+    ----
+    It should be noted that ``yoy_info`` is an output
+    from :py:func:`rdtools.degradation.degradation_year_on_year`.
+
+    Returns
+    -------
+    matplotlib.figure.Figure
+    '''
+
+    def _bootstrap(x, percentile, reps):
+        # stolen from degradation_year_on_year
+        n1 = len(x)
+        xb1 = np.random.choice(x, (n1, reps), replace=True)
+        mb1 = np.nanmedian(xb1, axis=0)
+        return np.percentile(mb1, percentile)
+
+    try:
+        results_values = yoy_info['YoY_values']
+
+    except KeyError:
+        raise KeyError("yoy_info input dictionary does not contain key `YoY_values`.")
+
+    if plot_color is None:
+        plot_color = 'tab:orange'
+    if ci_color is None:
+        ci_color = 'C0'
+
+    roller = results_values.rolling(f'{rolling_days}d', min_periods=rolling_days//2)
+    # unfortunately it seems that you can't return multiple values in the rolling.apply() kernel.
+    # TODO: figure out some workaround to return both percentiles in a single pass
+    if include_ci:
+        ci_lower = roller.apply(_bootstrap, kwargs={'percentile': 2.5, 'reps': 100}, raw=True)
+        ci_upper = roller.apply(_bootstrap, kwargs={'percentile': 97.5, 'reps': 100}, raw=True)
+    if fig is None:
+        fig, ax = plt.subplots()
+    else:
+        ax = fig.axes[0]
+    if include_ci:
+        ax.fill_between(ci_lower.index, ci_lower, ci_upper, color=ci_color)
+    ax.plot(roller.median(), color=plot_color, **kwargs)
+    ax.axhline(results_values.median(), c='k', ls='--')
+    plt.ylabel('Degradation trend (%/yr)')
+    fig.autofmt_xdate()
+
+    return fig
diff --git a/rdtools/soiling.py b/rdtools/soiling.py
index 72d792795..92a3bfb82 100644
--- a/rdtools/soiling.py
+++ b/rdtools/soiling.py
@@ -5,11 +5,24 @@
 and default behaviors may change in future releases (including MINOR
 and PATCH releases) as the code matures.
 '''
+from rdtools import degradation as RdToolsDeg
+from rdtools.bootstrap import _make_time_series_bootstrap_samples
 
 import warnings
+
 import pandas as pd
 import numpy as np
 from scipy.stats.mstats import theilslopes
+from filterpy.kalman import KalmanFilter
+from filterpy.common import Q_discrete_white_noise
+import itertools
+import bisect
+import time
+import sys
+from statsmodels.tsa.seasonal import STL
+from statsmodels.tsa.stattools import adfuller
+import statsmodels.api as sm
+lowess = sm.nonparametric.lowess
 
 warnings.warn(
     'The soiling module is currently experimental. The API, results, '
@@ -144,8 +157,8 @@ def _calc_daily_df(self, day_scale=13, clean_threshold='infer',
         df['pi_norm'] = df['pi'] / renorm
 
         # Find the beginning and ends of outages longer than dayscale
-        bfill = df['pi_norm'].fillna(method='bfill', limit=day_scale)
-        ffill = df['pi_norm'].fillna(method='ffill', limit=day_scale)
+        bfill = df['pi_norm'].bfill(limit=day_scale)
+        ffill = df['pi_norm'].ffill(limit=day_scale)
         out_start = (~df['pi_norm'].isnull() & bfill.shift(-1).isnull())
         out_end = (~df['pi_norm'].isnull() & ffill.shift(1).isnull())
 
@@ -155,7 +168,7 @@ def _calc_daily_df(self, day_scale=13, clean_threshold='infer',
 
         # Make a forward filled copy, just for use in
         # step, slope change detection
-        df_ffill = df.fillna(method='ffill', limit=day_scale).copy()
+        df_ffill = df.ffill(limit=day_scale).copy()
 
         # Calculate rolling median
         df['pi_roll_med'] = \
@@ -233,9 +246,9 @@ def _calc_result_df(self, trim=False, max_relative_slope_error=500.0,
 
         for r in res_loop:
             run = daily_df[daily_df['run'] == r]
-            length = (run.day[-1] - run.day[0])
-            start_day = run.day[0]
-            end_day = run.day[-1]
+            length = (run['day'].iloc[-1] - run['day'].iloc[0])
+            start_day = run['day'].iloc[0]
+            end_day = run['day'].iloc[-1]
             start = run.index[0]
             end = run.index[-1]
             run_filtered = run[run.pi_norm > 0]
@@ -431,16 +444,18 @@ def _calc_monte(self, monte, method='half_norm_clean'):
                 # forward and back fill to note the limits of random constant
                 # derate for invalid intervals
                 results_rand['previous_end'] = \
-                    results_rand.end_loss.fillna(method='ffill')
+                    results_rand.end_loss.ffill()
                 results_rand['next_start'] = \
-                    results_rand.start_loss.fillna(method='bfill')
+                    results_rand.start_loss.bfill()
 
                 # Randomly select random constant derate for invalid intervals
                 # based on previous end and next beginning
                 invalid_intervals = results_rand[~results_rand.valid].copy()
                 # fill NaNs at beggining and end
-                invalid_intervals.previous_end.fillna(1.0, inplace=True)
-                invalid_intervals.next_start.fillna(1.0, inplace=True)
+                invalid_intervals['previous_end'] = \
+                    invalid_intervals['previous_end'].fillna(1.0)
+                invalid_intervals['next_start'] = \
+                    invalid_intervals['next_start'].fillna(1.0)
                 groups = set(invalid_intervals.group)
                 replace_levels = []
 
@@ -900,18 +915,18 @@ def annual_soiling_ratios(stochastic_soiling_profiles,
 
     # Compute the insolation-weighted soiling ratio (IWSR) for each realization
     annual_insolation = insolation_daily.groupby(
-                        insolation_daily.index.year).sum()
+        insolation_daily.index.year).sum()
     all_annual_weighted_sums = all_profiles_weighted.groupby(
-                                all_profiles_weighted.index.year).sum()
+        all_profiles_weighted.index.year).sum()
     all_annual_iwsr = all_annual_weighted_sums.multiply(
-                            1/annual_insolation, axis=0)
+        1/annual_insolation, axis=0)
 
     annual_soiling = pd.DataFrame({
         'soiling_ratio_median': all_annual_iwsr.quantile(0.5, axis=1),
         'soiling_ratio_low': all_annual_iwsr.quantile(
-                            0.5 - confidence_level/2/100, axis=1),
+            0.5 - confidence_level/2/100, axis=1),
         'soiling_ratio_high': all_annual_iwsr.quantile(
-                            0.5 + confidence_level/2/100, axis=1),
+            0.5 + confidence_level/2/100, axis=1),
     })
     annual_soiling.index.name = 'year'
     annual_soiling = annual_soiling.reset_index()
@@ -1052,3 +1067,1572 @@ def monthly_soiling_rates(soiling_interval_summary, min_interval_length=14,
     monthly_soiling_df['interval_count'] = relevant_interval_count
 
     return monthly_soiling_df
+
+
+class CODSAnalysis():
+    '''
+    Container for the Combined Degradation and Soiling (CODS) algorithm
+    for degradation and soiling loss analysis. Based on the
+    method presented in [1]_.
+
+    Parameters
+    ----------
+    energy_normalized_daily : pandas.Series
+        Daily performance metric (i.e. performance index, yield, etc.)
+        Index must be DatetimeIndex with daily frequency
+
+    Attributes
+    ----------
+    pm : pandas.Series
+        Equals `energy_normalized_daily`
+    result_df : pandas.DataFrame with pandas datetimeindex
+        Contains the columns/keys:
+
+        +------------------------+----------------------------------------------+
+        | Column Name            | Description                                  |
+        +========================+==============================================+
+        | 'soiling_ratio'        | soiling ratio (SR) (-)                       |
+        +------------------------+----------------------------------------------+
+        | 'soiling_rates'        | soiling rates (1/day)                        |
+        +------------------------+----------------------------------------------+
+        | 'cleaning_events'      | True at cleaning events                      |
+        +------------------------+----------------------------------------------+
+        | 'seasonal_component'   | seasonal component (SC)                      |
+        +------------------------+----------------------------------------------+
+        | 'degradation_trend'    | degradation trend (Rd)                       |
+        +------------------------+----------------------------------------------+
+        | 'total_model'          | the total model fit, i.e. SR * SC * Rd * rs, |
+        |                        | where SR is the soiling ratio, SC is the     |
+        |                        | seasonal component, Rd is the degradation    |
+        |                        | trend, and rs is the residual shift, i.e.    |
+        |                        | the mean of the residuals (adjusting the     |
+        |                        | position of the model fit to the position of |
+        |                        | the input data)                              |
+        +------------------------+----------------------------------------------+
+        | 'residuals'            | The residuals of the model fit, i.e.         |
+        |                        | PI / (SR * SC * Rd)                          |
+        +------------------------+----------------------------------------------+
+        | 'SR_low'               | lower bound of 95 % conf. interval of SR     |
+        +------------------------+----------------------------------------------+
+        | 'SR_high'              | upper bound of 95 % conf. interval of SR     |
+        +------------------------+----------------------------------------------+
+        | 'rates_low'            | lower bound of 95 % conf. interval of        |
+        |                        | soiling rates                                |
+        +------------------------+----------------------------------------------+
+        | 'rates_high'           | upper bound of 95 % conf. interval of        |
+        |                        | soiling rates                                |
+        +------------------------+----------------------------------------------+
+        | 'bt_soiling_ratio'     | Bootstrapped estimate of soiling ratio (SR)  |
+        +------------------------+----------------------------------------------+
+        | 'bt_soiling_rates'     | Bootstrapped estimate of soiling rates       |
+        +------------------------+----------------------------------------------+
+        | 'seasonal_low'         | lower bound of 95 % conf. interval of        |
+        |                        | seasonal component (SC)                      |
+        +------------------------+----------------------------------------------+
+        | 'seasonal_high'        | upper bound of 95 % conf. interval of        |
+        |                        | seasonal component (SC)                      |
+        +------------------------+----------------------------------------------+
+        | 'model_high'           | upper bound of 95 % confidence interval of   |
+        |                        | the model fit                                |
+        +------------------------+----------------------------------------------+
+        | 'model_low'            | lower bound of 95 % confidence interval of   |
+        |                        | the model fit                                |
+        +------------------------+----------------------------------------------+
+
+    degradation : list
+        List of linear degradation rate of system in %/year, lower and
+        upper bound of 95% confidence interval
+    soiling_loss : list
+        List of average soiling losses over the time series in %, lower and
+        upper bound of 95% confidence interval
+    residual_shift : float
+        Mean value of residuals. Multiply total model by this number for
+        complete overlap with input pi
+    RMSE : float
+        Root Means Squared Error of total model vs input pi
+    small_soiling_signal : bool
+        Whether or not the signal is deemed too small to infer anything
+        about it
+    adf_res : list
+        The results of an Augmented Dickey-Fuller test (telling whether the
+        residuals are stationary or not)
+
+    Raises
+    ------
+    ValueError
+        If the performance metrix does not have daily index frequency
+
+    References
+    ----------
+    .. [1] Skomedal, Å. and Deceglie, M. G., IEEE Journal of
+       Photovoltaics, Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219
+    '''
+
+    def __init__(self, energy_normalized_daily):
+        self.pm = energy_normalized_daily  # daily performance metric
+
+        if np.isnan(self.pm.iloc[0]):
+            first_keeper = self.pm.isna().idxmin()
+            self.pm = self.pm.loc[first_keeper:]
+
+        if self.pm.index.freq != 'D':
+            raise ValueError('Daily performance metric series must have '
+                             'daily frequency (missing dates should be '
+                             'represented by NaNs)')
+
+    def iterative_signal_decomposition(
+            self, order=('SR', 'SC', 'Rd'), degradation_method='YoY',
+            max_iterations=18, cleaning_sensitivity=.5, convergence_criterion=5e-3,
+            pruning_iterations=1, clean_pruning_sensitivity=.6, soiling_significance=.75,
+            process_noise=1e-4, renormalize_SR=None, ffill=True, clip_soiling=True,
+            verbose=False):
+        '''
+        Estimates the soiling losses and the degradation rate of a PV system
+        based on its daily normalized energy, or daily Performance Index (PI).
+        The underlying assumption is that the PI
+        consists of a degradation trend, a seasonal component, and a soiling
+        signal (defined as 1 if no soiling, decreasing with increasing soiling
+        losses). I.e.: PI = degradation_trend * seasonal_component * soiling_ratio *
+        residuals, or:
+
+        .. math::
+
+            PI = Rd * SC * SR * R
+
+        The function has a heuristic for detecting whether the soiling signal is
+        significant enough for soiling loss inference, which is based on the
+        ratio between the spread in the soiling signal versus the spread in the
+        residuals (defined by the 2.5th and 97.5th percentiles)
+
+        * The degradation trend is obtained using the native RdTools Year-On-Year
+          method [1]_.
+        * The seasonal component is derived with statsmodels STL [2]_.
+        * The soiling signal is derived with a Kalman Filter with a cleaning
+          detection heuristic [3]_.
+
+        Parameters
+        ----------
+        order : tuple, default ('SR', 'SC', 'Rd')
+            Tuple containing 1 to 3 of the following strings 'SR' (soiling
+            ratio), 'SC' (seasonal component), 'Rd' (degradation component),
+            defining the order in which these components will be found during
+            iterative decomposition
+        degradation_method : string, default 'YoY'
+            Either 'YoY' or 'STL'. If anything else, 'YoY' will be assumed.
+            Decides whether to use the YoY method [3] for estimating the
+            degradation trend (assumes linear trend), or the STL-method (does
+            not assume linear trend). The latter is slower.
+        max_iterations : int, default 18
+            Max number of iterations to perform. Each iteration fits only one of the
+            components, so three iterations are needed to fit all three components.
+        cleaning_sensitivity : float, default .5
+            Higher value gives lower cleaning event detection sensitivity.
+            Should be between 0.1 and 2
+        convergence_criterion : float, default 5e-3
+            the relative change in the convergence metric required for
+            convergence
+        pruning_iterations : int, default 1
+            Number of iterations when pruning (removing) cleaning events
+        clean_pruning_sensitivity : float, default .6
+            Sensitivity tuner that decides how easily a cleaning event is pruned
+            (removed). Larger values means a smaller chance of pruning a given event.
+            Should be between 0.1 and 2
+        soiling_significance : float, default 0.75
+            The minimum amplitude of the soiling signal relative to the amplitude of
+            the residuals that is considered a significant soiling signal.
+        process_noise : float, default 1e-4
+            A Kalman Filter parameter that represents the expected amount of unmodeled
+            variation in the process, the process being the variation in the
+            performance index that is due to soiling, seasonality and degradation.
+        renormalize_SR : float, default None
+            If not none, defines the percentile for which the SR will be
+            normalized to, based on the SR just after cleaning events
+        ffill : bool, default True
+            Whether to use forward fill (default) or backward fill before
+            doing the rolling median for cleaning event detection
+        clip_soiling : bool, default True
+            Whether or not to clip the soiling ratio at max 1 and minimum 0.
+        verbose : bool, default False
+            If true, prints a progress report
+
+        Returns
+        -------
+        df_out : pandas.DataFrame
+            Dataframe that summarized the results of the iterative signal decomposition.
+            Contains the followig columns:
+
+            +------------------------+----------------------------------------------+
+            | Column Name            | Description                                  |
+            +========================+==============================================+
+            | 'soiling_ratio'        | soiling ratio (SR) (-)                       |
+            +------------------------+----------------------------------------------+
+            | 'soiling_rates'        | soiling rates (1/day)                        |
+            +------------------------+----------------------------------------------+
+            | 'cleaning_events'      | True at cleaning events                      |
+            +------------------------+----------------------------------------------+
+            | 'seasonal_component'   | seasonal component (SC)                      |
+            +------------------------+----------------------------------------------+
+            | 'degradation_trend'    | degradation trend (Rd)                       |
+            +------------------------+----------------------------------------------+
+            | 'total_model'          | the total model fit, i.e. SR * SC * Rd * rs, |
+            |                        | where SR is the soiling ratio, SC is the     |
+            |                        | seasonal component, Rd is the degradation    |
+            |                        | trend, and rs is the residual shift, i.e.    |
+            |                        | the mean of the residuals (adjusting the     |
+            |                        | position of the model fit to the position of |
+            |                        | the input data)                              |
+            +------------------------+----------------------------------------------+
+            | 'residuals'            | The residuals of the model fit, i.e.         |
+            |                        | PI / (SR * SC * Rd)                          |
+            +------------------------+----------------------------------------------+
+
+        results_dict: dict
+            Dictionary with the following entries:
+
+            +------------------------+----------------------------------------------+
+            | Key                    | Description                                  |
+            +========================+==============================================+
+            | 'degradation'          | Linear degradation rate of system in %/year  |
+            |                        | (float)                                      |
+            +------------------------+----------------------------------------------+
+            | 'soiling_loss'         | Average soiling losses over the time series  |
+            |                        | in % (float)                                 |
+            +------------------------+----------------------------------------------+
+            | 'residual_shift'       | Mean value of residuals. Multiply total      |
+            |                        | model by this number for complete overlap    |
+            |                        | with input pi (float)                        |
+            +------------------------+----------------------------------------------+
+            | 'RMSE'                 | Root Means Squared Error of total model vs   |
+            |                        | input pi (float)                             |
+            +------------------------+----------------------------------------------+
+            | 'small_soiling_signal' | Whether or not the signal is deemed too      |
+            |                        | small to infer soiling ratio (bool)          |
+            +------------------------+----------------------------------------------+
+            | 'adf_res'              | The results of an Augmented Dickey-Fuller    |
+            |                        | test (telling whether the residuals are      |
+            |                        | stationary or not) (list)                    |
+            +------------------------+----------------------------------------------+
+
+        References
+        ----------
+        .. [1] Jordan, D.C., Deline, C., Kurtz, S.R., Kimball, G.M., Anderson, M.,
+           2017. Robust PV Degradation Methodology and Application. IEEE J.
+           Photovoltaics 1–7. https://doi.org/10.1109/JPHOTOV.2017.2779779
+
+        .. [2] Deceglie, M.G., Micheli, L., Muller, M., 2018. Quantifying Soiling
+           Loss Directly from PV Yield. IEEE J. Photovoltaics 8, 547–551.
+           https://doi.org/10.1109/JPHOTOV.2017.2784682
+
+        .. [3] Skomedal, Å. and Deceglie, M. G., IEEE Journal of
+           Photovoltaics, Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219
+        '''
+        pi = self.pm.copy()
+        if degradation_method == 'STL' and 'Rd' in order:
+            order = tuple([c for c in order if c != 'Rd'])
+
+        if 'SR' not in order:
+            raise ValueError('\'SR\' must be in argument \'order\' ' +
+                             '(e.g. order=[\'SR\', \'SC\', \'Rd\']')
+        n_steps = len(order)
+        day = np.arange(len(pi))
+        degradation_trend = [1]
+        seasonal_component = [1]
+        soiling_ratio = [1]
+        soiling_dfs = []
+        yoy_save = [0]
+        residuals = pi.copy()
+        residual_shift = 1
+        convergence_metric = [_RMSE(pi, np.ones((len(pi),)))]
+
+        # Find possible cleaning events based on the performance index
+        ce, rm9 = _rolling_median_ce_detection(pi.index, pi, ffill=ffill,
+                                               tuner=cleaning_sensitivity)
+        pce = _collapse_cleaning_events(ce, rm9.diff().values, 5)
+
+        small_soiling_signal, perfect_cleaning = False, True
+        ic = 0  # iteration counter
+
+        if verbose:
+            print('It. nr\tstep\tRMSE\ttimer')
+        if verbose:
+            print('{:}\t- \t{:.5f}'.format(ic, convergence_metric[ic]))
+        while ic < max_iterations:
+            t0 = time.time()
+            ic += 1
+
+            # Find soiling component
+            if order[(ic-1) % n_steps] == 'SR':
+                if ic > 2:  # Add possible cleaning events found by considering
+                    # the residuals
+                    pce = soiling_dfs[-1].cleaning_events.copy()
+                    cleaning_sensitivity *= 1.2  # decrease sensitivity
+                    ce, rm9 = _rolling_median_ce_detection(
+                        pi.index, residuals, ffill=ffill,
+                        tuner=cleaning_sensitivity)
+                    ce = _collapse_cleaning_events(ce, rm9.diff().values, 5)
+                    pce[ce] = True
+                    clean_pruning_sensitivity /= 1.1  # increase pruning sensitivity
+
+                # Decompose input signal
+                soiling_dummy = (pi /
+                                 degradation_trend[-1] /
+                                 seasonal_component[-1] /
+                                 residual_shift)
+
+                # Run Kalman Filter for obtaining soiling component
+                kdf, Ps = self._Kalman_filter_for_SR(
+                    zs_series=soiling_dummy,
+                    clip_soiling=clip_soiling,
+                    prescient_cleaning_events=pce,
+                    pruning_iterations=pruning_iterations,
+                    clean_pruning_sensitivity=clean_pruning_sensitivity,
+                    perfect_cleaning=perfect_cleaning,
+                    process_noise=process_noise,
+                    renormalize_SR=renormalize_SR)
+                soiling_ratio.append(kdf.soiling_ratio)
+                soiling_dfs.append(kdf)
+
+            # Find seasonal component
+            if order[(ic-1) % n_steps] == 'SC':
+                season_dummy = pi / soiling_ratio[-1]  # Decompose signal
+                if season_dummy.isna().sum() > 0:
+                    season_dummy.interpolate('linear', inplace=True)
+                season_dummy = season_dummy.apply(np.log)  # Log transform
+                # Run STL model
+                STL_res = STL(season_dummy, period=365, seasonal=999999,
+                              seasonal_deg=0, trend_deg=0,
+                              robust=True, low_pass_jump=30, seasonal_jump=30,
+                              trend_jump=365).fit()
+                # Smooth result
+                smooth_season = lowess(STL_res.seasonal.apply(np.exp),
+                                       pi.index, is_sorted=True, delta=30,
+                                       frac=180/len(pi), return_sorted=False)
+                # Ensure periodic seaonal component
+                seasonal_comp = _force_periodicity(smooth_season,
+                                                   season_dummy.index,
+                                                   pi.index)
+                seasonal_component.append(seasonal_comp)
+                if degradation_method == 'STL':  # If not YoY
+                    deg_trend = pd.Series(index=pi.index,
+                                          data=STL_res.trend.apply(np.exp))
+                    degradation_trend.append(deg_trend / deg_trend.iloc[0])
+                    yoy_save.append(RdToolsDeg.degradation_year_on_year(
+                        degradation_trend[-1], uncertainty_method=None))
+
+            # Find degradation component
+            if order[(ic-1) % n_steps] == 'Rd':
+                # Decompose signal
+                trend_dummy = (pi /
+                               seasonal_component[-1] /
+                               soiling_ratio[-1])
+                # Run YoY
+                yoy = RdToolsDeg.degradation_year_on_year(
+                    trend_dummy, uncertainty_method=None)
+                # Convert degradation rate to trend
+                degradation_trend.append(pd.Series(
+                    index=pi.index, data=(1 + day * yoy / 100 / 365.0)))
+                yoy_save.append(yoy)
+
+            # Combine and calculate residual flatness
+            total_model = (degradation_trend[-1] *
+                           seasonal_component[-1] *
+                           soiling_ratio[-1])
+            residuals = pi / total_model
+            residual_shift = residuals.mean()
+            total_model *= residual_shift
+            convergence_metric.append(_RMSE(pi, total_model))
+
+            if verbose:
+                print('{:}\t{:}\t{:.5f}\t\t\t{:.1f} s'.format(
+                    ic, order[(ic-1) % n_steps], convergence_metric[-1],
+                    time.time()-t0))
+
+            # Convergence happens if there is no improvement in RMSE from one
+            # step to the next
+            if ic >= n_steps:
+                relative_improvement = ((convergence_metric[-n_steps-1] -
+                                         convergence_metric[-1]) /
+                                        convergence_metric[-n_steps-1])
+                if perfect_cleaning and (
+                        ic >= max_iterations / 2 or
+                        relative_improvement < convergence_criterion):
+                    # From now on, do not assume perfect cleaning
+                    perfect_cleaning = False
+                    # Reorder to ensure SR first
+                    order = tuple([order[(i+n_steps-1-(ic-1) % n_steps) % n_steps]
+                                   for i in range(n_steps)])
+                    change_point = ic
+                    if verbose:
+                        print('Now not assuming perfect cleaning')
+                elif (not perfect_cleaning and
+                      (ic >= max_iterations or
+                        (ic >= change_point + n_steps and
+                         relative_improvement <
+                         convergence_criterion))):
+                    if verbose:
+                        if relative_improvement < convergence_criterion:
+                            print('Convergence reached.')
+                        else:
+                            print('Max iterations reached.')
+                    ic = max_iterations
+
+        # Initialize output DataFrame
+        df_out = pd.DataFrame(index=pi.index,
+                              columns=['soiling_ratio', 'soiling_rates',
+                                       'cleaning_events', 'seasonal_component',
+                                       'degradation_trend', 'total_model',
+                                       'residuals'])
+
+        # Save values
+        df_out.seasonal_component = seasonal_component[-1]
+        df_out.degradation_trend = degradation_trend[-1]
+        degradation = yoy_save[-1]
+        final_kdf = soiling_dfs[-1]
+        df_out.soiling_ratio = final_kdf.soiling_ratio
+        df_out.soiling_rates = final_kdf.soiling_rates
+        df_out.cleaning_events = final_kdf.cleaning_events
+
+        # Calculate soiling loss in %
+        soiling_loss = (1 - df_out.soiling_ratio).mean() * 100
+
+        # Total model
+        df_out.total_model = (df_out.soiling_ratio *
+                              df_out.seasonal_component *
+                              df_out.degradation_trend)
+        df_out.residuals = pi / df_out.total_model
+        residual_shift = df_out.residuals.mean()
+        df_out.total_model *= residual_shift
+        RMSE = _RMSE(pi, df_out.total_model)
+        adf_res = adfuller(df_out.residuals.dropna(), regression='ctt', autolag=None)
+        if verbose:
+            print('p-value for the H0 that there is a unit root in the' +
+                  'residuals (using the Augmented Dickey-fuller test):' +
+                  '{:.3e}'.format(adf_res[1]))
+
+        # Check size of soiling signal vs residuals
+        SR_amp = float(np.diff(df_out.soiling_ratio.quantile([.1, .9])))
+        residuals_amp = float(np.diff(df_out.residuals.quantile([.1, .9])))
+        soiling_signal_strength = SR_amp / residuals_amp
+        if soiling_signal_strength < soiling_significance:
+            if verbose:
+                print('Soiling signal is small relative to the noise')
+            small_soiling_signal = True
+            df_out.SR_high = 1.0
+            df_out.SR_low = 1.0 - SR_amp
+
+        # Set up results dictionary
+        results_dict = dict(
+            degradation=degradation,
+            soiling_loss=soiling_loss,
+            residual_shift=residual_shift,
+            RMSE=RMSE,
+            small_soiling_signal=small_soiling_signal,
+            adf_res=adf_res
+        )
+
+        return df_out, results_dict
+
+    def run_bootstrap(self,
+                      reps=512,
+                      confidence_level=68.2,
+                      degradation_method='YoY',
+                      process_noise=1e-4,
+                      order_alternatives=(('SR', 'SC', 'Rd'),
+                                          ('SC', 'SR', 'Rd')),
+                      cleaning_sensitivity_alternatives=(.25, .75),
+                      clean_pruning_sensitivity_alternatives=(1/1.5, 1.5),
+                      forward_fill_alternatives=(True, False),
+                      verbose=False,
+                      bootstrap_seed=None,
+                      **kwargs):
+        '''
+        Bootstrapping of CODS algorithm for uncertainty analysis, inherently accounting
+        for model and parameter choices.
+
+        First, calls on :py:func:`iterative_signal_decomposition` to fit N different
+        models. Next, bootstrap samples are generated based on these N initial model fits.
+        Each bootstrap sample is generated by bootstrapping the residuals of
+        the respective model fit, using circular block
+        bootstrapping, then multiplying these new residuals back onto the
+        model. Then, for each bootstrap sample, model parameters are randomly
+        chosen and the CODS model is fit to the bootstrapped signal.
+        The seasonal component is perturbed randomly and
+        divided out, so as to capture its uncertainty. In the end,
+        confidence intervals are calulated based on the percentile levels of the
+        collection of bootstrapped model fits.
+        The returned soiling ratio and rates are based on
+        the best fit of the initial N models. See [1]_ for more details.
+
+        Parameters
+        ----------
+        reps : int, default 512,
+            Number of bootstrap realizations to be run
+            minimum N, where N is the possible combinations of model
+            alternatives defined by possible combination of order_alternatives,
+            cleaning_sensitivity_alternatives, clean_pruning_sensitivity_alternatives and
+            forward_fill_alternatives.
+        confidence_level : float, default 68.2
+            The size of the confidence intervals to return, in percent
+        degradation_method : string, default 'YoY'
+            Either 'YoY' or 'STL'. If anything else, 'YoY' will be assumed.
+            Decides whether to use the YoY method [3] for estimating the
+            degradation trend (assumes linear trend), or the STL-method (does
+            not assume linear trend). The latter is slower.
+        order_alternatives : tuple of tuples, default (('SR', 'SC', 'Rd'), ('SC', 'SR', 'Rd'))
+            Component estimation orders that will be tested during initial
+            model fitting.
+        cleaning_sensitivity_alternatives : tuple, default (.25, .75)
+            Detection tuner values that will be tested during initial fitting.
+            Length must be >= 1. First and last values define limits of values
+            that will be used during bootstrapping.
+        clean_pruning_sensitivity_alternatives : tuple, default (1/1.5, 1.5)
+            Pruning tuner values that will be tested during initial fitting.
+            Length must be >= 1. First and last values define limits of values
+            that will be used during bootstrapping.
+        forward_fill_alternatives : tuple, default (True, False)
+            Forward fill values that will be tested during initial fitting.
+        verbose : bool, default False
+            Wheter or not to print information about progress
+        bootstrap_seed: {Generator, RandomState, int}, default None
+            Seed passed to CircularBlockBootstrap use to ensure reproducable results.
+            If an int, passes the value to value to ``np.random.default_rng``.
+            If None (default), a fresh Generator is constructed with system-provided entropy.
+        **kwargs
+            Keyword arguments that are passed on to
+            :py:func:`iterative_signal_decomposition`
+
+        Returns
+        -------
+        result_df : pandas.DataFrame with pandas datetimeindex
+            Contains the columns/keys:
+
+            +------------------------+----------------------------------------------+
+            | Column Name            | Description                                  |
+            +========================+==============================================+
+            | 'soiling_ratio'        | soiling ratio (SR) (-)                       |
+            +------------------------+----------------------------------------------+
+            | 'soiling_rates'        | soiling rates (1/day)                        |
+            +------------------------+----------------------------------------------+
+            | 'cleaning_events'      | True at cleaning events                      |
+            +------------------------+----------------------------------------------+
+            | 'seasonal_component'   | seasonal component (SC)                      |
+            +------------------------+----------------------------------------------+
+            | 'degradation_trend'    | degradation trend (Rd)                       |
+            +------------------------+----------------------------------------------+
+            | 'total_model'          | the total model fit, i.e. SR * SC * Rd * rs, |
+            |                        | where SR is the soiling ratio, SC is the     |
+            |                        | seasonal component, Rd is the degradation    |
+            |                        | trend, and rs is the residual shift, i.e.    |
+            |                        | the mean of the residuals (adjusting the     |
+            |                        | position of the model fit to the position of |
+            |                        | the input data)                              |
+            +------------------------+----------------------------------------------+
+            | 'residuals'            | The residuals of the model fit, i.e.         |
+            |                        | PI / (SR * SC * Rd)                          |
+            +------------------------+----------------------------------------------+
+            | 'SR_low'               | lower bound of 95 % conf. interval of SR     |
+            +------------------------+----------------------------------------------+
+            | 'SR_high'              | upper bound of 95 % conf. interval of SR     |
+            +------------------------+----------------------------------------------+
+            | 'rates_low'            | lower bound of 95 % conf. interval of        |
+            |                        | soiling rates                                |
+            +------------------------+----------------------------------------------+
+            | 'rates_high'           | upper bound of 95 % conf. interval of        |
+            |                        | soiling rates                                |
+            +------------------------+----------------------------------------------+
+            | 'bt_soiling_ratio'     | Bootstrapped estimate of soiling ratio (SR)  |
+            +------------------------+----------------------------------------------+
+            | 'bt_soiling_rates'     | Bootstrapped estimate of soiling rates       |
+            +------------------------+----------------------------------------------+
+            | 'seasonal_low'         | lower bound of 95 % conf. interval of        |
+            |                        | seasonal component (SC)                      |
+            +------------------------+----------------------------------------------+
+            | 'seasonal_high'        | upper bound of 95 % conf. interval of        |
+            |                        | seasonal component (SC)                      |
+            +------------------------+----------------------------------------------+
+            | 'model_high'           | upper bound of 95 % confidence interval of   |
+            |                        | the model fit                                |
+            +------------------------+----------------------------------------------+
+            | 'model_low'            | lower bound of 95 % confidence interval of   |
+            |                        | the model fit                                |
+            +------------------------+----------------------------------------------+
+
+        degradation : list
+            List of linear degradation rate of system in %/year, lower and
+            upper bound of confidence interval.
+        soiling_loss : list
+            List of average soiling losses over the time series in %, lower and
+            upper bound of confidence interval.
+
+        References
+        ----------
+        .. [1] Skomedal, Å. and Deceglie, M. G., IEEE Journal of
+           Photovoltaics, Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219
+        '''
+        pi = self.pm.copy()
+
+        # ###################### #
+        # ###### STAGE 1 ####### #
+        # ###################### #
+
+        # Generate combinations of model parameter alternatives
+        parameter_alternatives = [order_alternatives,
+                                  cleaning_sensitivity_alternatives,
+                                  clean_pruning_sensitivity_alternatives,
+                                  forward_fill_alternatives]
+        index_list = list(itertools.product([0, 1], repeat=len(parameter_alternatives)))
+        combination_of_parameters = [[parameter_alternatives[j][indexes[j]]
+                                     for j in range(len(parameter_alternatives))]
+                                     for indexes in index_list]
+        nr_models = len(index_list)
+        bootstrap_samples_list, list_of_df_out, results = [], [], []
+
+        # Check boostrap number
+        if reps % nr_models != 0:
+            reps += nr_models - reps % nr_models
+
+        if verbose:
+            print('Initially fitting {:} models'.format(nr_models))
+        t00 = time.time()
+        # For each combination of model parameter alternatives, fit one model:
+        for c, (order, dt, pt, ff) in enumerate(combination_of_parameters):
+            try:
+                df_out, result_dict = self.iterative_signal_decomposition(
+                    max_iterations=18, order=order, clip_soiling=True,
+                    cleaning_sensitivity=dt, pruning_iterations=1,
+                    clean_pruning_sensitivity=pt, process_noise=process_noise, ffill=ff,
+                    degradation_method=degradation_method, **kwargs)
+
+                # Save results
+                list_of_df_out.append(df_out)
+                results.append(result_dict)
+                adf = result_dict['adf_res']
+                # If we can reject the null-hypothesis that there is a unit
+                # root in the residuals:
+                if adf[1] < .05:
+                    # ... generate bootstrap samples based on the fit:
+                    bootstrap_samples_list.append(
+                        _make_time_series_bootstrap_samples(
+                            pi, df_out.total_model,
+                            sample_nr=int(reps / nr_models),
+                            bootstrap_seed=bootstrap_seed))
+
+                # Print progress
+                if verbose:
+                    _progressBarWithETA(c+1, nr_models, time.time()-t00,
+                                        bar_length=30)
+            except ValueError as ex:
+                print(ex)
+
+        # Revive results
+        adfs = np.array([(r['adf_res'][0] if r['adf_res'][1] < 0.05 else 0) for r in results])
+        RMSEs = np.array([r['RMSE'] for r in results])
+        SR_is_one_fraction = np.array(
+            [(df.soiling_ratio == 1).mean() for df in list_of_df_out])
+        small_soiling_signal = [r['small_soiling_signal'] for r in results]
+
+        # Calculate weights
+        weights = 1 / RMSEs / (1 + SR_is_one_fraction)
+        weights /= np.sum(weights)
+
+        # Save sensitivities and weights for initial model fits
+        _parameters_n_weights = pd.concat([pd.DataFrame(combination_of_parameters),
+                                           pd.Series(RMSEs),
+                                           pd.Series(SR_is_one_fraction),
+                                           pd.Series(weights),
+                                           pd.Series(small_soiling_signal)],
+                                          axis=1, ignore_index=True)
+
+        if verbose:  # Print summary
+            _parameters_n_weights.columns = ['order', 'dt', 'pt', 'ff', 'RMSE',
+                                             'SR==1', 'weights', 'small_soiling_signal']
+            if verbose:
+                print('\n', _parameters_n_weights)
+
+        # Check if data is decomposable
+        if np.sum(adfs == 0) > nr_models / 2:
+            raise RuntimeError(
+                'Test for stationary residuals (Augmented Dickey-Fuller'
+                + ' test) not passed in half  of the instances:\nData not'
+                + ' decomposable.')
+
+        # Save best model
+        self.initial_fits = [df for df in list_of_df_out]
+        result_df = list_of_df_out[np.argmax(weights)]
+
+        # If more than half of the model fits indicate small soiling signal,
+        # don't do bootstrapping
+        if np.sum(small_soiling_signal) > nr_models / 2:
+            self.result_df = result_df
+            self.residual_shift = results[np.argmax(weights)]['residual_shift']
+            YOY = RdToolsDeg.degradation_year_on_year(pi)
+            self.degradation = [YOY[0], YOY[1][0], YOY[1][1]]
+            self.soiling_loss = [0, 0, (1 - result_df.soiling_ratio).mean()]
+            self.small_soiling_signal = True
+            self.errors = (
+                'Soiling signal is small relative to the noise. '
+                'Iterative decomposition not possible. '
+                'Degradation found by RdTools YoY.')
+            warnings.warn(self.errors)
+            return self.result_df, self.degradation, self.soiling_loss
+        self.small_soiling_signal = False
+
+        # Aggregate all bootstrap samples
+        all_bootstrap_samples = pd.concat(bootstrap_samples_list, axis=1,
+                                          ignore_index=True)
+
+        # Seasonal samples are generated from previously fitted seasonal
+        # components, by perturbing amplitude and phase shift
+        # Number of samples per fit:
+        sample_nr = int(reps / nr_models)
+        list_of_SCs = [list_of_df_out[m].seasonal_component
+                       for m in range(nr_models) if weights[m] > 0]
+        seasonal_samples = _make_seasonal_samples(list_of_SCs,
+                                                  sample_nr=sample_nr,
+                                                  min_multiplier=.8,
+                                                  max_multiplier=1.75,
+                                                  max_shift=30)
+
+        # ###################### #
+        # ###### STAGE 2 ####### #
+        # ###################### #
+
+        if verbose and reps > 0:
+            print('\nBootstrapping for uncertainty analysis',
+                  '({:} realizations):'.format(reps))
+        order = ('SR', 'SC' if degradation_method == 'STL' else 'Rd')
+        t0 = time.time()
+        bt_kdfs, bt_SL, bt_deg, parameters, adfs, RMSEs, SR_is_1, rss, errors = \
+            [], [], [], [], [], [], [], [], ['Bootstrapping errors']
+        for b in range(reps):
+            try:
+                # randomly choose model sensitivities
+                dt = np.random.uniform(parameter_alternatives[1][0],
+                                       parameter_alternatives[1][-1])
+                pt = np.random.uniform(parameter_alternatives[2][0],
+                                       parameter_alternatives[2][-1])
+                pn = np.random.uniform(process_noise / 1.5, process_noise * 1.5)
+                renormalize_SR = np.random.choice([None,
+                                                   np.random.uniform(.5, .95)])
+                ffill = np.random.choice([True, False])
+                parameters.append([dt, pt, pn, renormalize_SR, ffill])
+
+                # Sample to infer soiling from
+                bootstrap_sample = \
+                    all_bootstrap_samples[b] / seasonal_samples[b]
+
+                # Set up a temprary instance of the CODSAnalysis object
+                temporary_cods_instance = CODSAnalysis(bootstrap_sample)
+
+                # Do Signal decomposition for soiling and degradation component
+                kdf, results_dict = temporary_cods_instance.iterative_signal_decomposition(
+                        max_iterations=4, order=order, clip_soiling=True,
+                        cleaning_sensitivity=dt, pruning_iterations=1,
+                        clean_pruning_sensitivity=pt, process_noise=pn,
+                        renormalize_SR=renormalize_SR, ffill=ffill,
+                        degradation_method=degradation_method, **kwargs)
+
+                # If we can reject the null-hypothesis that there is a unit
+                # root in the residuals:
+                if results_dict['adf_res'][1] < .05:  # Save the results
+                    bt_kdfs.append(kdf)
+                    adfs.append(results_dict['adf_res'][0])
+                    RMSEs.append(results_dict['RMSE'])
+                    bt_deg.append(results_dict['degradation'])
+                    bt_SL.append(results_dict['soiling_loss'])
+                    rss.append(results_dict['residual_shift'])
+                    SR_is_1.append((kdf.soiling_ratio == 1).mean())
+                else:
+                    seasonal_samples.drop(columns=[b], inplace=True)
+
+            except ValueError as ve:
+                seasonal_samples.drop(columns=[b], inplace=True)
+                errors.append([b, ve])
+
+            # Print progress
+            if verbose:
+                _progressBarWithETA(b+1, reps, time.time()-t0, bar_length=30)
+
+        # Reweight and save weights
+        weights = 1 / np.array(RMSEs) / (1 + np.array(SR_is_1))
+        weights /= np.sum(weights)
+        self._parameters_n_weights = pd.concat(
+            [pd.DataFrame(parameters),
+             pd.Series(RMSEs),
+             pd.Series(adfs),
+             pd.Series(SR_is_1),
+             pd.Series(weights)],
+            axis=1, ignore_index=True)
+        self._parameters_n_weights.columns = ['dt', 'pt', 'pn', 'RSR', 'ffill',
+                                              'RMSE', 'ADF', 'SR==1', 'weights']
+
+        # ###################### #
+        # ###### STAGE 3 ####### #
+        # ###################### #
+
+        # Set confidence interval edge quantile levels
+        ci_low_edge = (50 - confidence_level / 2) / 100
+        ci_high_edge = (50 + confidence_level / 2) / 100
+
+        # Concatenate boostrap model fits
+        concat_tot_mod = pd.concat([kdf.total_model for kdf in bt_kdfs], axis=1)
+        concat_SR = pd.concat([kdf.soiling_ratio for kdf in bt_kdfs], axis=1)
+        concat_r_s = pd.concat([kdf.soiling_rates for kdf in bt_kdfs], axis=1)
+        concat_ce = pd.concat([kdf.cleaning_events for kdf in bt_kdfs], axis=1)
+
+        # Find confidence intervals for SR and soiling rates
+        df_out['SR_low'] = concat_SR.quantile(ci_low_edge, 1)
+        df_out['SR_high'] = concat_SR.quantile(ci_high_edge, 1)
+        df_out['rates_low'] = concat_r_s.quantile(ci_low_edge, 1)
+        df_out['rates_high'] = concat_r_s.quantile(ci_high_edge, 1)
+
+        # Save best estimate and bootstrapped estimates of SR and soiling rates
+        df_out.soiling_ratio = df_out.soiling_ratio.clip(lower=0, upper=1)
+        df_out.loc[df_out.soiling_ratio.diff() == 0, 'soiling_rates'] = 0
+        df_out['bt_soiling_ratio'] = (concat_SR * weights).sum(1)
+        df_out['bt_soiling_rates'] = (concat_r_s * weights).sum(1)
+
+        # Set probability of cleaning events
+        df_out.cleaning_events = (concat_ce * weights).sum(1)
+
+        # Find degradation rates
+        self.degradation = [np.dot(bt_deg, weights),
+                            np.quantile(bt_deg, ci_low_edge),
+                            np.quantile(bt_deg, ci_high_edge)]
+        df_out.degradation_trend = 1 + np.arange(len(pi)) * \
+            self.degradation[0] / 100 / 365.0
+
+        # Soiling losses
+        self.soiling_loss = [np.dot(bt_SL, weights),
+                             np.quantile(bt_SL, ci_low_edge),
+                             np.quantile(bt_SL, ci_high_edge)]
+
+        # Save "confidence intervals" for seasonal component
+        df_out.seasonal_component = (seasonal_samples * weights).sum(1)
+        df_out['seasonal_low'] = seasonal_samples.quantile(ci_low_edge, 1)
+        df_out['seasonal_high'] = seasonal_samples.quantile(ci_high_edge, 1)
+
+        # Total model with confidence intervals
+        df_out.total_model = (df_out.degradation_trend *
+                              df_out.seasonal_component *
+                              df_out.soiling_ratio)
+        df_out['model_low'] = concat_tot_mod.quantile(ci_low_edge, 1)
+        df_out['model_high'] = concat_tot_mod.quantile(ci_high_edge, 1)
+
+        # Residuals and residual shift
+        df_out.residuals = pi / df_out.total_model
+        self.residual_shift = df_out.residuals.mean()
+        df_out.total_model *= self.residual_shift
+        self.RMSE = _RMSE(pi, df_out.total_model)
+        self.adf_results = adfuller(df_out.residuals.dropna(),
+                                    regression='ctt', autolag=None)
+        self.result_df = df_out
+        self.errors = errors
+
+        if verbose:
+            print('\nFinal RMSE: {:.5f}'.format(self.RMSE))
+            if len(self.errors) > 1:
+                print(self.errors)
+
+        return self.result_df, self.degradation, self.soiling_loss
+
+    def _Kalman_filter_for_SR(self, zs_series, process_noise=1e-4, zs_std=.05,
+                              rate_std=.005, max_soiling_rates=.0005,
+                              pruning_iterations=1, clean_pruning_sensitivity=.6,
+                              renormalize_SR=None, perfect_cleaning=False,
+                              prescient_cleaning_events=None,
+                              clip_soiling=True, ffill=True):
+        '''
+        A function for estimating the underlying Soiling Ratio (SR) and the
+        rate of change of the SR (the soiling rate), based on a noisy time series
+        of daily (corrected) normalized energy using a Kalman Filter (KF). See
+        [1]_ for more details on Kalman Filters.
+
+        Parameters
+        ----------
+        zs_series : pandas.Series
+            Time series of daily normalized energy. Ideally corrected for degradation
+            and seasonality
+        process_noise : float, default 1e-4
+            Represents the expected amount of unmodeled variation in the process itself
+        zs_std : float, default 0.05
+            Represents the expected variation in the zs_series
+        rate_std : float, default 0.005
+            Represents the expected variation in the rate of change of the zs_series
+        max_soiling_rates : float, default 0.0005
+            Represents the maximum allowed positive soiling rate (when soiling is removed)
+        pruning_iterations : int, default 1
+            Number of iterations when pruning (removing) cleaning events
+        clean_pruning_sensitivity : float, default 0.6
+            Sensitivity tuner that decides how easily a cleaning event is pruned
+            (removed). Larger values means a smaller chance of pruning a given event.
+        renormalize_SR : float or None, default None
+            Quantile (of subsequent zs_series-values after cleaning events) for which
+            to normalize SR against.
+        perfect_cleaning : bool, default False
+            Whether or not to assume perfect cleaning, i.e. SR = 1 after every
+            cleaning event
+        prescient_cleaning_events : list, pandas.Series, or None, default None
+            List of "known" cleaning events that is passed on to the algorithm
+        clip_soiling : bool, default True
+            Whether or not to clip SR at a maximum value of 1
+        ffill : bool, default True
+            Whether to forward fill missing values when detecting cleaning events.
+
+        Returns
+        -------
+        dfk : pandas.DataFrame
+            Results of the Kalman Filter process. Contains the followig columns:
+
+            +------------------------+----------------------------------------------+
+            | Column Name            | Description                                  |
+            +========================+==============================================+
+            | 'raw_pi'               | Raw state estimate after Kalman Filter pass  |
+            +------------------------+----------------------------------------------+
+            | 'raw_rates'            | Raw rate estimate after Kalman Filter pass   |
+            +------------------------+----------------------------------------------+
+            | 'smooth_pi'            | Smoothed state estimate after running the    |
+            |                        | smoother function                            |
+            +------------------------+----------------------------------------------+
+            | 'smooth_rates'         | Smoothed rate estimate after running the     |
+            |                        | smoother function                            |
+            +------------------------+----------------------------------------------+
+            | 'soiling_ratio'        | soiling ratio (SR) estimate (-)              |
+            +------------------------+----------------------------------------------+
+            | 'soiling_rates'        | soiling rate estimate (1/day)                |
+            +------------------------+----------------------------------------------+
+            | 'cleaning_events'      | True at cleaning events                      |
+            +------------------------+----------------------------------------------+
+            | 'days_since_ce'        | Number of days since previous cleaning event |
+            +------------------------+----------------------------------------------+
+
+        Ps : numpy.array
+            Array of covariance matrices for the states of each iteration of the Kalman
+            Filter (one iteration per entry in zs_series).
+
+        References
+        ----------
+        .. [1] R. R. Labbe, Kalman and Bayesian Filters in Python. 2016.
+        '''
+
+        # Ensure numeric index
+        zs_series = zs_series.copy()  # Make copy, so as not to change input
+        zs_series = zs_series.astype(float)
+        original_index = zs_series.index.copy()
+        if (original_index.dtype not in [int, 'int64']):
+            zs_series.index = range(len(zs_series))
+
+        # Check prescient_cleaning_events. If not present, find cleaning events
+        if isinstance(prescient_cleaning_events, list):
+            cleaning_events = prescient_cleaning_events
+        else:
+            if (isinstance(prescient_cleaning_events, type(zs_series)) and
+                    (prescient_cleaning_events.sum() > 4)):
+                if len(prescient_cleaning_events) == len(zs_series):
+                    prescient_cleaning_events = prescient_cleaning_events.copy()
+                    prescient_cleaning_events.index = zs_series.index
+                else:
+                    raise ValueError(
+                        "The indices of prescient_cleaning_events must correspond to the" +
+                        " indices of zs_series; they must be of the same length")
+            else:  # If no prescient cleaning events, detect cleaning events
+                ce, rm9 = _rolling_median_ce_detection(
+                    zs_series.index, zs_series, tuner=0.5)
+                prescient_cleaning_events = \
+                    _collapse_cleaning_events(ce, rm9.diff().values, 5)
+
+            cleaning_events = prescient_cleaning_events[prescient_cleaning_events].index.tolist()
+
+        # Find soiling events (e.g. dust storms)
+        soiling_events = _soiling_event_detection(
+            zs_series.index, zs_series, ffill=ffill, tuner=5)
+        soiling_events = soiling_events[soiling_events].index.tolist()
+
+        # Initialize various parameters
+        if ffill:
+            rolling_median_13 = \
+                zs_series.ffill().rolling(13, center=True).median().ffill().bfill()
+            rolling_median_7 = \
+                zs_series.ffill().rolling(7, center=True).median().ffill().bfill()
+        else:
+            rolling_median_13 = \
+                zs_series.bfill().rolling(13, center=True).median().ffill().bfill()
+            rolling_median_7 = \
+                zs_series.bfill().rolling(7, center=True).median().ffill().bfill()
+        # A rough estimate of the measurement noise
+        measurement_noise = (rolling_median_13 - zs_series).var()
+        # An initial guess of the slope
+        initial_slope = np.array(theilslopes(zs_series.bfill().iloc[:14]))
+        dt = 1  # All time stemps are one day
+
+        # Initialize Kalman filter
+        f = self._initialize_univariate_model(zs_series, dt, process_noise,
+                                              measurement_noise, rate_std,
+                                              zs_std, initial_slope)
+
+        # Initialize miscallenous variables
+        dfk = pd.DataFrame(index=zs_series.index, dtype=float,
+                           columns=['raw_pi', 'raw_rates', 'smooth_pi',
+                                    'smooth_rates', 'soiling_ratio',
+                                    'soiling_rates', 'cleaning_events',
+                                    'days_since_ce'])
+        dfk['cleaning_events'] = False
+
+        # Kalman Filter part:
+        #######################################################################
+        # Call the forward pass function (the actual KF procedure)
+        Xs, Ps, rate_std, zs_std = self._forward_pass(
+            f, zs_series, rolling_median_7, cleaning_events, soiling_events)
+
+        # Save results and smooth with rts smoother
+        dfk, Xs, Ps = self._smooth_results(
+            dfk, f, Xs, Ps, zs_series, cleaning_events, soiling_events,
+            perfect_cleaning)
+        #######################################################################
+
+        # Some steps to clean up the soiling data:
+        counter = 0
+        while counter < pruning_iterations:
+            counter += 1
+            ce_0 = cleaning_events.copy()
+            # 1: Remove false cleaning events by checking for outliers
+            if len(ce_0) > 0:
+                rm_smooth_pi = dfk.smooth_pi.rolling(7).median().shift(-6)
+                pi_after_cleaning = rm_smooth_pi.loc[cleaning_events]
+                # Detect outiers/false positives
+                false_positives = _find_numeric_outliers(pi_after_cleaning,
+                                                         clean_pruning_sensitivity, 'lower')
+                cleaning_events = \
+                    false_positives[~false_positives].index.tolist()
+
+            # 2: Remove longer periods with positive (soiling) rates
+            if (dfk.smooth_rates > max_soiling_rates).sum() > 1:
+                exceeding_rates = dfk.smooth_rates > max_soiling_rates
+                new_cleaning_events = _collapse_cleaning_events(
+                    exceeding_rates, dfk.smooth_rates, 4)
+                cleaning_events.extend(
+                    new_cleaning_events[new_cleaning_events].index)
+                cleaning_events.sort()
+
+            # 3: If the list of cleaning events has changed, run the Kalman
+            #    Filter and smoother again
+            if not ce_0 == cleaning_events:
+                f = self._initialize_univariate_model(zs_series, dt,
+                                                      process_noise,
+                                                      measurement_noise,
+                                                      rate_std, zs_std,
+                                                      initial_slope)
+                Xs, Ps, rate_std, zs_std = self._forward_pass(
+                    f, zs_series, rolling_median_7, cleaning_events,
+                    soiling_events)
+                dfk, Xs, Ps = self._smooth_results(
+                    dfk, f, Xs, Ps, zs_series, cleaning_events,
+                    soiling_events, perfect_cleaning)
+
+            else:
+                counter = 100  # Make sure the while loop stops
+
+            # 4: Estimate Soiling ratio from kalman estimate
+            if perfect_cleaning:  # SR = 1 after cleaning events
+                if len(cleaning_events) > 0:
+                    pi_dummy = pd.Series(index=dfk.index, data=np.nan)
+                    pi_dummy.loc[cleaning_events] = \
+                        dfk.smooth_pi.loc[cleaning_events]
+                    dfk.soiling_ratio = 1 / pi_dummy.ffill() * dfk.smooth_pi
+                    # Set the SR in the first soiling period based on the mean
+                    # ratio of the Kalman estimate (smooth_pi) and the SR
+                    dfk.loc[:cleaning_events[0], 'soiling_ratio'] = \
+                        dfk.loc[:cleaning_events[0], 'smooth_pi'] \
+                        * (dfk.soiling_ratio / dfk.smooth_pi).mean()
+                else:  # If no cleaning events
+                    dfk.soiling_ratio = 1
+            else:  # Otherwise, if the inut signal has been decomposed, and
+                # only contains a soiling component, the kalman estimate = SR
+                dfk.soiling_ratio = dfk.smooth_pi
+            # 5: Renormalize Soiling Ratio
+            if renormalize_SR is not None:
+                dfk.soiling_ratio /= dfk.loc[cleaning_events, 'soiling_ratio'
+                                             ].quantile(renormalize_SR)
+
+            # 6: Force soiling ratio to not exceed 1:
+            if clip_soiling:
+                dfk['soiling_ratio'] = dfk['soiling_ratio'].clip(upper=1)
+                dfk.soiling_rates = dfk.smooth_rates
+                dfk.loc[dfk.soiling_ratio.diff() == 0, 'soiling_rates'] = 0
+
+        # Set number of days since cleaning event
+        nr_days_dummy = pd.Series(index=dfk.index, data=np.nan)
+        nr_days_dummy.loc[cleaning_events] = [int(date-dfk.index[0])
+                                              for date in cleaning_events]
+        nr_days_dummy.iloc[0] = 0
+        dfk.days_since_ce = range(len(zs_series)) - nr_days_dummy.ffill()
+
+        # Save cleaning events and soiling events
+        dfk.loc[cleaning_events, 'cleaning_events'] = True
+        dfk.index = original_index  # Set index back to orignial index
+
+        return dfk, Ps
+
+    def _forward_pass(self, f, zs_series, rolling_median_7, cleaning_events,
+                      soiling_events):
+        ''' Run the forward pass of the Kalman Filter algortihm '''
+        zs = zs_series.values
+        N = len(zs)
+        Xs, Ps = np.zeros((N, 2)), np.zeros((N, 2, 2))
+        # Enter forward pass of filtering algorithm
+        for i, z in enumerate(zs):
+            if 7 < i < N-7 and (i in cleaning_events or i in soiling_events):
+                rolling_median_local = rolling_median_7.loc[i-5:i+5].values
+                u = self._set_control_input(f, rolling_median_local, i,
+                                            cleaning_events)
+                f.predict(u=u)  # Predict wth control input u
+            else:  # If no cleaning detection, predict without control input
+                f.predict()
+            if not np.isnan(z):
+                f.update(z)  # Update
+
+            Xs[i] = f.x
+            Ps[i] = f.P
+            rate_std, zs_std = Ps[-1, 1, 1], Ps[-1, 0, 0]
+        return Xs, Ps, rate_std, zs_std  # Convert to numpy and return
+
+    def _set_control_input(self, f, rolling_median_local, index,
+                           cleaning_events):
+        '''
+        For each cleaning event, sets control input u based on current
+        Kalman Filter state estimate (f.x), and the median value for the
+        following week. If the cleaning event seems to be misplaced, moves
+        the cleaning event to a more sensible location. If the cleaning
+        event seems to be correct, removes other cleaning events in the 10
+        days surrounding this day
+        '''
+        u = np.zeros(f.x.shape)  # u is the control input
+        window_size = 11  # len of rolling_median_local
+        HW = 5  # Half window
+        moving_diff = np.diff(rolling_median_local)
+        # Index of maximum change in rolling median
+        max_diff_index = moving_diff.argmax()
+        if max_diff_index == HW-1 or index not in cleaning_events:
+            # The median zs of the week after the cleaning event
+            z_med = rolling_median_local[HW+3]
+            # Set control input this future median
+            u[0] = z_med - np.dot(f.H, np.dot(f.F, f.x))
+            # If the change is bigger than the measurement noise:
+            if np.abs(u[0]) > np.sqrt(f.R)/2:
+                index_dummy = [n+3 for n in range(window_size-HW-1)
+                               if n+3 != HW]
+                cleaning_events = [ce for ce in cleaning_events
+                                   if ce-index+HW not in index_dummy]
+            else:  # If the cleaning event is insignificant
+                u[0] = 0
+                if index in cleaning_events:
+                    cleaning_events.remove(index)
+        else:  # If the index with the maximum difference is not today...
+            cleaning_events.remove(index)  # ...remove today from the list
+            if moving_diff[max_diff_index] > 0 \
+                    and index+max_diff_index-HW+1 not in cleaning_events:
+                # ...and add the missing day
+                bisect.insort(cleaning_events, index+max_diff_index-HW+1)
+        return u
+
+    def _smooth_results(self, dfk, f, Xs, Ps, zs_series, cleaning_events,
+                        soiling_events, perfect_cleaning):
+        ''' Smoother for Kalman Filter estimates. Smooths the Kalaman estimate
+            between given cleaning events and saves all in DataFrame dfk'''
+        # Save unsmoothed estimates
+        dfk.raw_pi = Xs[:, 0]
+        dfk.raw_rates = Xs[:, 1]
+
+        # Set up cleaning events dummy list, inlcuding first and last day
+        df_num_ind = pd.Series(index=dfk.index, data=range(len(dfk)))
+        ce_dummy = cleaning_events.copy()
+        ce_dummy.extend(dfk.index[[0, -1]])
+        ce_dummy.extend(soiling_events)
+        ce_dummy.sort()
+
+        # Smooth between cleaning events
+        for start, end in zip(ce_dummy[:-1], ce_dummy[1:]):
+            num_ind = df_num_ind.loc[start:end].iloc[:-1]
+            Xs[num_ind], Ps[num_ind], _, _ = f.rts_smoother(Xs[num_ind],
+                                                            Ps[num_ind])
+
+        # Save smoothed estimates
+        dfk.smooth_pi = Xs[:, 0]
+        dfk.smooth_rates = Xs[:, 1]
+
+        return dfk, Xs, Ps
+
+    def _initialize_univariate_model(self, zs_series, dt, process_noise,
+                                     measurement_noise, rate_std, zs_std,
+                                     initial_slope):
+        ''' Initializes the univariate Kalman Filter model, using the filterpy
+            package '''
+        f = KalmanFilter(dim_x=2, dim_z=1)
+        f.F = np.array([[1., dt],
+                        [0., 1.]])
+        f.H = np.array([[1., 0.]])
+        f.P = np.array([[zs_std**2, 0],
+                        [0, rate_std**2]])
+        f.Q = Q_discrete_white_noise(dim=2, dt=dt, var=process_noise**2)
+        f.x = np.array([initial_slope[1], initial_slope[0]])
+        f.B = np.zeros(f.F.shape)
+        f.B[0] = 1
+        f.R = measurement_noise
+        return f
+
+
+def soiling_cods(energy_normalized_daily,
+                 reps=512,
+                 confidence_level=68.2,
+                 degradation_method='YoY',
+                 process_noise=1e-4,
+                 order_alternatives=(('SR', 'SC', 'Rd'),
+                                     ('SC', 'SR', 'Rd')),
+                 cleaning_sensitivity_alternatives=(.25, .75),
+                 clean_pruning_sensitivity_alternatives=(1/1.5, 1.5),
+                 forward_fill_alternatives=(True, False),
+                 verbose=False,
+                 **kwargs):
+    '''
+    Functional wrapper for :py:class:`~rdtools.soiling.CODSAnalysis` and its
+    subroutine :py:func:`~rdtools.soiling.CODSAnalysis.run_bootstrap`. Runs
+    the combined degradation and soiling (CODS) algorithm with bootstrapping.
+    Based on the procedure presented in [1]_.
+
+    Parameters
+    ----------
+    energy_normalized_daily : pandas.Series
+        Daily performance metric (i.e. performance index, yield, etc.)
+        Alternatively, the soiling ratio output of a soiling sensor (e.g. the
+        photocurrent ratio between matched dirty and clean PV reference cells).
+        In either case, data should be insolation-weighted daily aggregates.
+    reps : int, default 512
+        number of bootstrap realizations to calculate
+    confidence_level : float, default 68.2
+        The size of the confidence interval to return, in percent
+    degradation_method : string, default 'YoY'
+        Either 'YoY' or 'STL'. If anything else, 'YoY' will be assumed.
+        Decides whether to use the YoY method [3] for estimating the
+        degradation trend (assumes linear trend), or the STL-method (does
+        not assume linear trend). The latter is slower.
+    process_noise : float, default 1e-4
+        A Kalman Filter parameter that represents the expected amount of unmodeled
+        variation in the process, the process being the variation in the
+        performance index that is due to soiling, seasonality and degradation.
+    order_alternatives : tuple of tuples, default (('SR', 'SC', 'Rd'), ('SC', 'SR', 'Rd'))
+        Component estimation orders that will be tested during initial
+        model fitting.
+    cleaning_sensitivity_alternatives : tuple, default (.25, .75)
+        Detection tuner values that will be tested during initial fitting.
+        Length must be >= 1. First and last values define limits of values
+        that will be used during bootstrapping.
+    clean_pruning_sensitivity_alternatives : tuple, default (1/1.5, 1.5)
+        Pruning tuner values that will be tested during initial fitting.
+        Length must be >= 1. First and last values define limits of values
+        that will be used during bootstrapping.
+    forward_fill_alternatives : tuple, default (True, False)
+        Forward fill values that will be tested during initial fitting.
+    verbose : bool, default False
+        Wheter or not to print information about progress
+    **kwargs
+        keyword arguments that are passed on to :py:func:`iterative_signal_decomposition`
+
+    Returns
+    -------
+    soiling_ratio : float
+        Average soiling ratio based on CODS analysis (%)
+    soiling_ratio_confidence_interval : numpy.array
+        95 % confidence interval of soiling ratio estimate (%)
+    degradation_rate : float
+        Estimated degradation rate (%/year)
+    degradation_rate_confidence_interval : numpy.array
+        95 % confidence interval for degradation rate estimate (%/year)
+    result_df : pandas dataframe
+        Time series results from the CODS algorithm. Index is pandas.DatetimeIndex
+        with daily frequency. Contains the following columns:
+
+            +------------------------+----------------------------------------------+
+            | Column Name            | Description                                  |
+            +========================+==============================================+
+            | 'soiling_ratio'        | soiling ratio (SR) (-)                       |
+            +------------------------+----------------------------------------------+
+            | 'soiling_rates'        | soiling rates (1/day)                        |
+            +------------------------+----------------------------------------------+
+            | 'cleaning_events'      | True at cleaning events                      |
+            +------------------------+----------------------------------------------+
+            | 'seasonal_component'   | seasonal component (SC)                      |
+            +------------------------+----------------------------------------------+
+            | 'degradation_trend'    | degradation trend (Rd)                       |
+            +------------------------+----------------------------------------------+
+            | 'total_model'          | the total model fit, i.e. SR * SC * Rd * rs, |
+            |                        | where SR is the soiling ratio, SC is the     |
+            |                        | seasonal component, Rd is the degradation    |
+            |                        | trend, and rs is the residual shift, i.e.    |
+            |                        | the mean of the residuals (adjusting the     |
+            |                        | position of the model fit to the position of |
+            |                        | the input data)                              |
+            +------------------------+----------------------------------------------+
+            | 'residuals'            | The residuals of the model fit, i.e.         |
+            |                        | PI / (SR * SC * Rd)                          |
+            +------------------------+----------------------------------------------+
+            | 'SR_low'               | lower bound of 95 % conf. interval of SR     |
+            +------------------------+----------------------------------------------+
+            | 'SR_high'              | upper bound of 95 % conf. interval of SR     |
+            +------------------------+----------------------------------------------+
+            | 'rates_low'            | lower bound of 95 % conf. interval of        |
+            |                        | soiling rates                                |
+            +------------------------+----------------------------------------------+
+            | 'rates_high'           | upper bound of 95 % conf. interval of        |
+            |                        | soiling rates                                |
+            +------------------------+----------------------------------------------+
+            | 'bt_soiling_ratio'     | Bootstrapped estimate of soiling ratio (SR)  |
+            +------------------------+----------------------------------------------+
+            | 'bt_soiling_rates'     | Bootstrapped estimate of soiling rates       |
+            +------------------------+----------------------------------------------+
+            | 'seasonal_low'         | lower bound of 95 % conf. interval of        |
+            |                        | seasonal component (SC)                      |
+            +------------------------+----------------------------------------------+
+            | 'seasonal_high'        | upper bound of 95 % conf. interval of        |
+            |                        | seasonal component (SC)                      |
+            +------------------------+----------------------------------------------+
+            | 'model_high'           | upper bound of 95 % confidence interval of   |
+            |                        | the model fit                                |
+            +------------------------+----------------------------------------------+
+            | 'model_low'            | lower bound of 95 % confidence interval of   |
+            |                        | the model fit                                |
+            +------------------------+----------------------------------------------+
+
+    References
+    ----------
+    .. [1] Skomedal, Å. and Deceglie, M. G., IEEE Journal of Photovoltaics,
+       Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219
+    '''
+
+    CODS = CODSAnalysis(energy_normalized_daily)
+
+    CODS.run_bootstrap(
+        reps=reps,
+        confidence_level=confidence_level,
+        verbose=verbose,
+        degradation_method=degradation_method,
+        process_noise=process_noise,
+        order_alternatives=order_alternatives,
+        cleaning_sensitivity_alternatives=cleaning_sensitivity_alternatives,
+        clean_pruning_sensitivity_alternatives=clean_pruning_sensitivity_alternatives,
+        forward_fill_alternatives=forward_fill_alternatives,
+        **kwargs)
+
+    sr = 1 - CODS.soiling_loss[0] / 100
+    sr_ci = 1 - np.array(CODS.soiling_loss[1:3]) / 100
+
+    return sr, sr_ci, CODS.degradation[0], np.array(CODS.degradation[1:3]), \
+        CODS.result_df
+
+
+def _collapse_cleaning_events(inferred_ce_in, metric, f=4):
+    ''' A function for replacing quick successive cleaning events with one
+        (most probable) cleaning event.
+
+    Parameters
+    ----------
+    inferred_ce_in : pandas.Series
+        Contains daily booelan values for cleaning events
+    metric : numpy.array/pandas.Series
+        A metric which is large when probability of cleaning is large
+        (eg. daily difference in rolling median of performance index)
+    f : int, default 4
+        Number of time stamps to collapse in each direction
+
+    Returns
+    -------
+    inferred_ce : pandas.Series
+        boolean values for cleaning events
+    '''
+    # Ensure numeric index
+    if isinstance(inferred_ce_in.index,
+                  pd.core.indexes.datetimes.DatetimeIndex):
+        saveindex = inferred_ce_in.copy().index
+        inferred_ce_in.index = range(len(saveindex))
+    else:
+        saveindex = inferred_ce_in.index
+
+    # Make metric into series with same index
+    metric = pd.Series(index=inferred_ce_in.index, data=np.array(metric))
+    # Make a dummy, removing the f days at the beginning and end
+    collapsed_ce_dummy = inferred_ce_in.iloc[f:-f].copy()
+    # Make holder for collapes cleaning events
+    collapsed_ce = pd.Series(index=inferred_ce_in.index, data=False)
+    # Find the index of the first "island" of true values
+    start_true_vals = collapsed_ce_dummy.idxmax()
+    # Loop through data
+    while start_true_vals > 0:
+        # Find end of island of true values
+        end_true_vals = collapsed_ce_dummy.loc[start_true_vals:].idxmin() - 1
+        if end_true_vals >= start_true_vals:  # If the island ends
+            # Find the day with mac probability of being a cleaning event
+            max_diff_day = \
+                metric.loc[start_true_vals-f:end_true_vals+f].idxmax()
+            # Set all days in this period as false
+            collapsed_ce.loc[start_true_vals-f:end_true_vals+f] = False
+            collapsed_ce_dummy.loc[start_true_vals-f:end_true_vals+f] = False
+            # Set the max probability day as True (cleaning event)
+            collapsed_ce.loc[max_diff_day] = True
+            # Find the next island of true values
+            start_true_vals = collapsed_ce_dummy.idxmax()
+            if start_true_vals == f:
+                start_true_vals = 0  # Stop iterations
+        else:
+            start_true_vals = 0  # Stop iterations
+    # Return the series of collapsed cleaning events with the original index
+    return pd.Series(index=saveindex, data=collapsed_ce.values)
+
+
+def _rolling_median_ce_detection(x, y, ffill=True, rolling_window=9, tuner=1.5):
+    ''' Finds cleaning events in a time series of performance index (y) '''
+    y = pd.Series(index=x, data=y)
+    y = y.astype(float)
+    if ffill:  # forward fill NaNs in y before running mean
+        rm = y.ffill().rolling(rolling_window, center=True).median()
+    else:  # ... or backfill instead
+        rm = y.bfill().rolling(rolling_window, center=True).median()
+    Q3 = rm.diff().abs().quantile(.75)
+    Q1 = rm.diff().abs().quantile(.25)
+    limit = Q3 + tuner * (Q3 - Q1)
+    cleaning_events = rm.diff() > limit
+    return cleaning_events, rm
+
+
+def _soiling_event_detection(x, y, ffill=True, tuner=5):
+    ''' Finds cleaning events in a time series of performance index (y) '''
+    y = pd.Series(index=x, data=y)
+    y = y.astype(float)
+    if ffill:  # forward fill NaNs in y before running mean
+        rm = y.ffill().rolling(9, center=True).median()
+    else:  # ... or backfill instead
+        rm = y.bfill().rolling(9, center=True).median()
+    Q3 = rm.diff().abs().quantile(.99)
+    Q1 = rm.diff().abs().quantile(.01)
+    limit = Q1 - tuner * (Q3 - Q1)
+    soiling_events = rm.diff() < limit
+    return soiling_events
+
+
+def _make_seasonal_samples(list_of_SCs, sample_nr=10, min_multiplier=0.5,
+                           max_multiplier=2, max_shift=20):
+    ''' Generate seasonal samples by perturbing the amplitude and the phase of
+        a seasonal components found with the fitted CODS model '''
+    samples = pd.DataFrame(index=list_of_SCs[0].index,
+                           columns=range(int(sample_nr*len(list_of_SCs))),
+                           dtype=float)
+    # From each fitted signal, we will generate new seaonal components
+    for i, signal in enumerate(list_of_SCs):
+        # Remove beginning and end of signal
+        signal_mean = signal.mean()
+        # Make a signal matrix where each column is a year and each row a date
+        year_matrix = signal.rename('values').to_frame().assign(
+                doy=signal.index.dayofyear,
+                year=signal.index.year
+            ).pivot(index='doy', columns='year', values='values')
+        # We will use the median signal through all the years...
+        median_signal = year_matrix.median(1)
+        for j in range(sample_nr):
+            # Generate random multiplier and phase shift
+            multiplier = np.random.uniform(min_multiplier, max_multiplier)
+            shift = np.random.randint(-max_shift, max_shift)
+            # Set up the signal by shifting the orginal signal index, and
+            # constructing the new signal based on median_signal
+            shifted_signal = pd.Series(
+                index=signal.index,
+                data=median_signal.reindex(
+                    (signal.index.dayofyear-shift) % 365 + 1).values)
+            # Perturb amplitude by recentering to 0 multiplying by multiplier
+            samples.loc[:, i*sample_nr + j] = \
+                multiplier * (shifted_signal - signal_mean) + 1
+    return samples
+
+
+def _force_periodicity(in_signal, signal_index, out_index):
+    ''' Function for forcing periodicity in a seasonal component signal '''
+    # Make sure the in_signal is a Series
+    if isinstance(in_signal, np.ndarray):
+        signal = pd.Series(index=pd.DatetimeIndex(signal_index.date),
+                           data=in_signal)
+    elif isinstance(in_signal, pd.Series):
+        signal = pd.Series(index=pd.DatetimeIndex(signal_index.date),
+                           data=in_signal.values)
+    else:
+        raise ValueError('in_signal must be numpy array or pandas Series')
+
+    # Make sure that we don't remove too much of the data:
+    remove_length = np.min([180, int((len(signal) - 365) / 2)])
+    # Remove beginning and end of series
+    signal.iloc[:remove_length] = np.nan
+    signal.iloc[-remove_length:] = np.nan
+
+    unique_years = signal.index.year.unique()  # Years involved in time series
+    # Make a signal matrix where each column is a year and each row is a date
+    year_matrix = pd.DataFrame(index=np.arange(0, 365), columns=unique_years)
+    for year in unique_years:
+        dates_in_year = pd.date_range(str(year)+'-01-01', str(year)+'-12-31')
+        # We cut off the extra day(s) of leap years
+        year_matrix[year] = \
+            signal.loc[str(year)].reindex(dates_in_year).values[:365]
+    # We will use the median signal through all the years...
+    median_signal = year_matrix.median(1)
+    # The output is the median signal broadcasted to the whole time series
+    output = pd.Series(
+        index=out_index,
+        data=median_signal.reindex(out_index.dayofyear - 1).values)
+    return output
+
+
+def _find_numeric_outliers(x, multiplier=1.5, where='both', verbose=False):
+    ''' Function for finding numeric outliers '''
+    try:  # Calulate third and first quartile
+        Q3 = np.quantile(x, .75)
+        Q1 = np.quantile(x, .25)
+    except IndexError as ie:
+        print(ie, x)
+    except RuntimeWarning as rw:
+        print(rw, x)
+    IQR = Q3 - Q1  # Interquartile range
+    if where == 'upper':  # If detecting upper outliers
+        if verbose:
+            print('Upper limit', Q3 + multiplier * IQR)
+        return (x > Q3 + multiplier * IQR)
+    elif where == 'lower':  # If detecting lower outliers
+        if verbose:
+            print('Lower limit', Q1 - multiplier * IQR)
+        return (x < Q1 - multiplier * IQR)
+    elif where == 'both':  # If detecting both lower and upper outliers
+        if verbose:
+            print('Upper, lower limit',
+                  Q3 + multiplier * IQR,
+                  Q1 - multiplier * IQR)
+        return (x > Q3 + multiplier * IQR), (x < Q1 - multiplier * IQR)
+
+
+def _RMSE(y_true, y_pred):
+    '''Calculates the Root Mean Squared Error for y_true and y_pred, where
+        y_pred is the "prediction", and y_true is the truth.'''
+    mask = ~np.isnan(y_pred)
+    return np.sqrt(np.mean((y_pred[mask]-y_true[mask])**2))
+
+
+def _MSD(y_true, y_pred):
+    '''Calculates the Mean Signed Deviation for y_true and y_pred, where y_pred
+        is the "prediction", and y_true is the truth.'''
+    return np.mean(y_pred - y_true)
+
+
+def _progressBarWithETA(value, endvalue, time, bar_length=20):
+    ''' Prints a progressbar with an estimated time of "arrival" '''
+    percent = float(value) / endvalue * 100
+    arrow = '-' * int(round(percent/100 * bar_length)-1) + '>'
+    spaces = ' ' * (bar_length - len(arrow))
+    used = time / 60  # Time Used
+    left = used / percent*(100-percent)  # Estimated time left
+    sys.stdout.write(
+        "\r# {:} | Used: {:.1f} min | Left: {:.1f}".format(value, used, left) +
+        " min | Progress: [{:}] {:.0f} %".format(arrow + spaces, percent))
+    sys.stdout.flush()
diff --git a/rdtools/test/analysis_chains_test.py b/rdtools/test/analysis_chains_test.py
index 737e81f7c..78376bbec 100644
--- a/rdtools/test/analysis_chains_test.py
+++ b/rdtools/test/analysis_chains_test.py
@@ -1,5 +1,6 @@
-from rdtools import TrendAnalysis, normalization
+from rdtools import TrendAnalysis, normalization, filtering
 from conftest import assert_isinstance, assert_warnings
+from rdtools.analysis_chains import ValidatedFilterDict
 import pytest
 import pvlib
 import pandas as pd
@@ -12,8 +13,7 @@ def basic_parameters():
     # basic parameters (no time series data) for the TrendAnalysis class
 
     parameters = dict(
-        gamma_pdc=-0.005,
-        temperature_model={'a': -3.47, 'b': -0.0594, 'deltaT': 3}
+        gamma_pdc=-0.005, temperature_model={"a": -3.47, "b": -0.0594, "deltaT": 3}
     )
 
     return parameters
@@ -22,13 +22,12 @@ def basic_parameters():
 @pytest.fixture
 def cs_input():
     # basic parameters (no time series data) for the TrendAnalysis class
-    loc = pvlib.location.Location(-23.762028, 133.874886,
-                                  tz='Australia/North')
+    loc = pvlib.location.Location(-23.762028, 133.874886, tz="Australia/North")
     cs_input = dict(
         pvlib_location=loc,
         pv_tilt=20,
         pv_azimuth=0,
-        solar_position_method='ephemeris',  # just to improve test execution speed
+        solar_position_method="ephemeris",  # just to improve test execution speed
     )
 
     return cs_input
@@ -43,9 +42,9 @@ def degradation_trend(basic_parameters, cs_input):
     from degradation_test import DegradationTestCase
 
     rd = -0.05
-    input_freq = 'H'
+    input_freq = "h"
     degradation_trend = DegradationTestCase.get_corr_energy(rd, input_freq)
-    tz = cs_input['pvlib_location'].tz
+    tz = cs_input["pvlib_location"].tz
     return degradation_trend.tz_localize(tz)
 
 
@@ -55,104 +54,245 @@ def sensor_parameters(basic_parameters, degradation_trend):
     power = degradation_trend
     poa_global = power * 1000
     temperature_ambient = power * 0 + 25
-    basic_parameters['pv'] = power
-    basic_parameters['poa_global'] = poa_global
-    basic_parameters['temperature_ambient'] = temperature_ambient
-    basic_parameters['interp_freq'] = 'H'
+    basic_parameters["pv"] = power
+    basic_parameters["poa_global"] = poa_global
+    basic_parameters["temperature_ambient"] = temperature_ambient
+    basic_parameters["interp_freq"] = "h"
     return basic_parameters
 
 
 @pytest.fixture
 def sensor_analysis(sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters)
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
     return rd_analysis
 
 
+@pytest.fixture
+def sensor_analysis_nans(sensor_parameters):
+    def randomly_replace_with(series, replace_with=0, fraction=0.1, seed=None):
+        """
+        Randomly replace a fraction of entries in a pandas Series with input value `replace_with`.
+
+        Parameters:
+        series (pd.Series): The input pandas Series.
+        fraction (float): The fraction of entries to replace with 0. Default is 0.1 (10%).
+        seed (int, optional): Seed for the random number generator for reproducibility.
+
+        Returns:
+        pd.Series: The modified pandas Series with some entries replaced by 0.
+        """
+        if seed is not None:
+            np.random.seed(seed)
+
+        # Determine the number of entries to replace
+        n_replace = int(len(series) * fraction)
+
+        # Randomly select indices to replace
+        replace_indices = np.random.choice(series.index, size=n_replace, replace=False)
+
+        # Replace selected entries with
+        series.loc[replace_indices] = replace_with
+
+        return series
+
+    sensor_parameters_zeros = sensor_parameters.copy()
+    sensor_parameters_nans = sensor_parameters.copy()
+
+    sensor_parameters_zeros["pv"] = randomly_replace_with(sensor_parameters["pv"], seed=0)
+    sensor_parameters_nans["pv"] = sensor_parameters_zeros["pv"].replace(0, np.nan)
+
+    rd_analysis_zeros = TrendAnalysis(**sensor_parameters_zeros)
+    rd_analysis_zeros.sensor_analysis(analyses=["yoy_degradation"])
+
+    rd_analysis_nans = TrendAnalysis(**sensor_parameters_nans)
+    rd_analysis_nans.sensor_analysis(analyses=["yoy_degradation"])
+    return rd_analysis_zeros, rd_analysis_nans
+
+
 @pytest.fixture
 def sensor_analysis_exp_power(sensor_parameters):
-    power_expected = normalization.pvwatts_dc_power(sensor_parameters['poa_global'],
-                                                    power_dc_rated=1)
-    sensor_parameters['power_expected'] = power_expected
+    power_expected = normalization.pvwatts_dc_power(
+        sensor_parameters["poa_global"], power_dc_rated=1
+    )
+    sensor_parameters["power_expected"] = power_expected
     rd_analysis = TrendAnalysis(**sensor_parameters)
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    return rd_analysis
+
+
+@pytest.fixture
+def sensor_analysis_aggregated_no_filter(sensor_parameters):
+    rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
+    rd_analysis.filter_params = {}  # disable all index-based filters
+    rd_analysis.filter_params_aggregated = {}
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
     return rd_analysis
 
 
+@pytest.fixture
+def clearsky_example_data(basic_parameters):
+    # Import the example data
+    file_url = (
+        "https://datahub.duramat.org/dataset/"
+        "a49bb656-7b36-437a-8089-1870a40c2a7d/"
+        "resource/d2c3fcf4-4f5f-47ad-8743-fc29"
+        "f1356835/download/pvdaq_system_4_2010"
+        "-2016_subset_soil_signal.csv"
+    )
+    cache_file = "PVDAQ_system_4_2010-2016_subset_soilsignal.pickle"
+
+    try:
+        df = pd.read_pickle(cache_file)
+    except FileNotFoundError:
+        df = pd.read_csv(file_url, index_col=0, parse_dates=True)
+        df.to_pickle(cache_file)
+
+    # Specify the Metadata
+    meta = {
+        "latitude": 39.7406,
+        "longitude": -105.1774,
+        "timezone": "Etc/GMT+7",
+        "gamma_pdc": -0.005,
+        "azimuth": 180,
+        "tilt": 40,
+        "power_dc_rated": 1000.0,
+        "temp_model_params": "open_rack_glass_polymer",
+    }
+
+    # Set the timezone
+    df.index = df.index.tz_localize(meta["timezone"])
+
+    # Select two years of data
+    df_crop = df[df.index < (df.index[0] + pd.Timedelta(days=2 * 365 + 1))]
+
+    basic_parameters["pv"] = df_crop["ac_power"]
+    basic_parameters["poa_global"] = df_crop["poa_irradiance"]
+    basic_parameters["temperature_ambient"] = df_crop["ambient_temp"]
+    basic_parameters["interp_freq"] = "1min"
+
+    # Set the pvlib location
+    loc = pvlib.location.Location(meta["latitude"], meta["longitude"], tz=meta["timezone"])
+
+    cs_input = dict(
+        pvlib_location=loc,
+        pv_tilt=meta["tilt"],
+        pv_azimuth=meta["azimuth"],
+        solar_position_method="ephemeris",  # just to improve test execution speed
+    )
+    return basic_parameters, cs_input
+
+
 def test_interpolation(basic_parameters, degradation_trend):
 
     power = degradation_trend
-    shifted_index = power.index + pd.to_timedelta('8 minutes')
+    shifted_index = power.index + pd.to_timedelta("8 minutes")
 
     dummy_series = power * 0 + 25
     dummy_series.index = shifted_index
 
-    basic_parameters['pv'] = power
-    basic_parameters['poa_global'] = dummy_series
-    basic_parameters['temperature_ambient'] = dummy_series
-    basic_parameters['temperature_cell'] = dummy_series
-    basic_parameters['windspeed'] = dummy_series
-    basic_parameters['power_expected'] = dummy_series
-    basic_parameters['interp_freq'] = 'H'
+    basic_parameters["pv"] = power
+    basic_parameters["poa_global"] = dummy_series
+    basic_parameters["temperature_ambient"] = dummy_series
+    basic_parameters["temperature_cell"] = dummy_series
+    basic_parameters["windspeed"] = dummy_series
+    basic_parameters["power_expected"] = dummy_series
+    basic_parameters["interp_freq"] = "h"
 
     rd_analysis = TrendAnalysis(**basic_parameters)
 
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.poa_global.index[1:])
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.temperature_ambient.index[1:])
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.temperature_cell.index[1:])
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.windspeed.index[1:])
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.power_expected.index[1:])
-
-    rd_analysis.set_clearsky(pv_azimuth=dummy_series,
-                             pv_tilt=dummy_series,
-                             poa_global_clearsky=dummy_series,
-                             temperature_cell_clearsky=dummy_series,
-                             temperature_ambient_clearsky=dummy_series)
-
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.pv_azimuth.index)
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.pv_tilt.index)
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.poa_global_clearsky.index)
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.temperature_cell_clearsky.index)
-    pd.testing.assert_index_equal(rd_analysis.pv_energy.index,
-                                  rd_analysis.temperature_ambient_clearsky.index)
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.poa_global.index[1:]
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.temperature_ambient.index[1:]
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.temperature_cell.index[1:]
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.windspeed.index[1:]
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.power_expected.index[1:]
+    )
+
+    rd_analysis.set_clearsky(
+        pv_azimuth=dummy_series,
+        pv_tilt=dummy_series,
+        poa_global_clearsky=dummy_series,
+        temperature_cell_clearsky=dummy_series,
+        temperature_ambient_clearsky=dummy_series,
+    )
+
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.pv_azimuth.index
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.pv_tilt.index
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.poa_global_clearsky.index
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.temperature_cell_clearsky.index
+    )
+    pd.testing.assert_index_equal(
+        rd_analysis.pv_energy.index, rd_analysis.temperature_ambient_clearsky.index
+    )
 
 
 def test_sensor_analysis(sensor_analysis):
-    yoy_results = sensor_analysis.results['sensor']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    yoy_results = sensor_analysis.results["sensor"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert -1 == pytest.approx(rd, abs=1e-2)
     assert [-1, -1] == pytest.approx(ci, abs=1e-2)
 
 
+def test_sensor_analysis_nans(sensor_analysis_nans):
+    rd_analysis_zeros, rd_analysis_nans = sensor_analysis_nans
+
+    yoy_results_zeros = rd_analysis_zeros.results["sensor"]["yoy_degradation"]
+    rd_zeros = yoy_results_zeros["p50_rd"]
+    ci_zeros = yoy_results_zeros["rd_confidence_interval"]
+
+    yoy_results_nans = rd_analysis_nans.results["sensor"]["yoy_degradation"]
+    rd_nans = yoy_results_nans["p50_rd"]
+    ci_nans = yoy_results_nans["rd_confidence_interval"]
+
+    assert rd_zeros == pytest.approx(rd_nans, abs=1e-2)
+    assert ci_zeros == pytest.approx(ci_nans, abs=1e-1)
+
+
+def test_sensor_analysis_filter_components(sensor_analysis):
+    columns = sensor_analysis.sensor_filter_components_aggregated.columns
+    assert {'two_way_window_filter'} == set(columns)
+
+    expected_columns = {'normalized_filter', 'poa_filter', 'tcell_filter', 'clip_filter'}
+    columns = sensor_analysis.sensor_filter_components.columns
+    assert expected_columns == set(columns)
+
+
 def test_sensor_analysis_energy(sensor_parameters, sensor_analysis):
-    sensor_parameters['pv'] = sensor_analysis.pv_energy
-    sensor_parameters['pv_input'] = 'energy'
+    sensor_parameters["pv"] = sensor_analysis.pv_energy
+    sensor_parameters["pv_input"] = "energy"
     sensor_analysis2 = TrendAnalysis(**sensor_parameters)
     sensor_analysis2.pv_power = sensor_analysis.pv_power
-    sensor_analysis2.sensor_analysis(analyses=['yoy_degradation'])
-    yoy_results = sensor_analysis2.results['sensor']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    sensor_analysis2.sensor_analysis(analyses=["yoy_degradation"])
+    yoy_results = sensor_analysis2.results["sensor"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert -1 == pytest.approx(rd, abs=1e-2)
     assert [-1, -1] == pytest.approx(ci, abs=1e-2)
 
 
 def test_sensor_analysis_exp_power(sensor_analysis_exp_power):
-    yoy_results = sensor_analysis_exp_power.results['sensor']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    yoy_results = sensor_analysis_exp_power.results["sensor"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert 0 == pytest.approx(rd, abs=1e-2)
     assert [0, 0] == pytest.approx(ci, abs=1e-2)
@@ -160,10 +300,10 @@ def test_sensor_analysis_exp_power(sensor_analysis_exp_power):
 
 def test_sensor_analysis_power_dc_rated(sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
-    yoy_results = rd_analysis.results['sensor']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    yoy_results = rd_analysis.results["sensor"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert -1 == pytest.approx(rd, abs=1e-2)
     assert [-1, -1] == pytest.approx(ci, abs=1e-2)
@@ -171,79 +311,235 @@ def test_sensor_analysis_power_dc_rated(sensor_parameters):
 
 def test_sensor_analysis_ad_hoc_filter(sensor_parameters):
     # by excluding all but a few points, we should trigger the <2yr error
-    filt = pd.Series(False, index=sensor_parameters['pv'].index)
+    filt = pd.Series(False, index=sensor_parameters["pv"].index)
     filt.iloc[-100:] = True
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.filter_params['ad_hoc_filter'] = filt
-    with pytest.raises(ValueError, match="Less than two years of data left after filtering"):
-        rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.filter_params["ad_hoc_filter"] = filt
+    with pytest.raises(
+        ValueError, match="Less than two years of data left after filtering"
+    ):
+        rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+
+
+def test_sensor_analysis_aggregated_ad_hoc_filter(sensor_parameters):
+    # by excluding all but a few points, we should trigger the <2yr error
+    filt = pd.Series(False, index=sensor_parameters["pv"].index)
+    filt = filt.resample("1D").first().dropna(how="all")
+    filt.iloc[-500:] = True
+    rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
+    rd_analysis.filter_params_aggregated["ad_hoc_filter"] = filt
+    with pytest.raises(
+        ValueError, match="Less than two years of data left after filtering"
+    ):
+        rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
 
 
-def test_filter_components(sensor_parameters):
-    poa = sensor_parameters['poa_global']
+def test_filter_components_poa(sensor_parameters):
+    poa = sensor_parameters["poa_global"]
     poa_filter = (poa > 200) & (poa < 1200)
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
-    assert (poa_filter == rd_analysis.sensor_filter_components['poa_filter']).all()
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    assert (poa_filter == rd_analysis.sensor_filter_components["poa_filter"]).all()
+
+
+def test_filter_components_hour_angle(sensor_parameters, cs_input):
+    lat = cs_input["pvlib_location"].latitude
+    lon = cs_input["pvlib_location"].longitude
+    hour_angle_filter = filtering.hour_angle_filter(sensor_parameters["pv"], lat, lon)
+    rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
+    rd_analysis.pvlib_location = cs_input['pvlib_location']
+    rd_analysis.filter_params = {'hour_angle_filter': {}}
+    rd_analysis.filter_params_aggregated = {}
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    assert (hour_angle_filter[1:] ==
+            rd_analysis.sensor_filter_components["hour_angle_filter"]).all()
+
+
+def test_aggregated_filter_components(sensor_parameters):
+    daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index)
+    daily_ad_hoc_filter[:600] = False
+    daily_ad_hoc_filter = daily_ad_hoc_filter.resample("1D").first().dropna(how="all")
+    rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
+    rd_analysis.filter_params = {}  # disable all index-based filters
+    rd_analysis.filter_params_aggregated["ad_hoc_filter"] = daily_ad_hoc_filter
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    assert (
+        daily_ad_hoc_filter
+        == rd_analysis.sensor_filter_components_aggregated["ad_hoc_filter"]
+    ).all()
 
 
 def test_filter_components_no_filters(sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
     rd_analysis.filter_params = {}  # disable all filters
-    rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
     expected = pd.Series(True, index=rd_analysis.pv_energy.index)
     pd.testing.assert_series_equal(rd_analysis.sensor_filter, expected)
     assert rd_analysis.sensor_filter_components.empty
 
 
-@pytest.mark.parametrize('workflow', ['sensor', 'clearsky'])
-def test_filter_ad_hoc_warnings(workflow, sensor_parameters):
+def test_aggregated_filter_components_no_filters(sensor_parameters):
     rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
-    rd_analysis.set_clearsky(pvlib_location=pvlib.location.Location(40, -80),
-                             poa_global_clearsky=rd_analysis.poa_global)
+    rd_analysis.filter_params = {}  # disable all index-based filters
+    rd_analysis.filter_params_aggregated = {}  # disable all daily filters
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    expected = pd.Series(True, index=rd_analysis.pv_energy.index)
+    daily_expected = expected.resample("1D").first().dropna(how="all")
+    pd.testing.assert_series_equal(rd_analysis.sensor_filter_aggregated, daily_expected)
+    assert rd_analysis.sensor_filter_components.empty
+
 
+def test_aggregated_filter_components_two_way_window_filter(sensor_analysis_aggregated_no_filter):
+    rd_analysis = sensor_analysis_aggregated_no_filter
+    aggregated_no_filter = rd_analysis.sensor_aggregated_performance
+    rd_analysis.filter_params_aggregated = {"two_way_window_filter": {}}
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    daily_expected = filtering.two_way_window_filter(aggregated_no_filter)
+    pd.testing.assert_series_equal(
+        rd_analysis.sensor_filter_aggregated, daily_expected, check_names=False
+    )
+
+
+def test_aggregated_filter_components_insolation_filter(sensor_analysis_aggregated_no_filter):
+    rd_analysis = sensor_analysis_aggregated_no_filter
+    aggregated_no_filter = rd_analysis.sensor_aggregated_performance
+    rd_analysis.filter_params_aggregated = {"insolation_filter": {}}
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    daily_expected = filtering.insolation_filter(aggregated_no_filter)
+    pd.testing.assert_series_equal(
+        rd_analysis.sensor_filter_aggregated, daily_expected, check_names=False
+    )
+
+
+def test_aggregated_filter_components_hampel_filter(sensor_analysis_aggregated_no_filter):
+    rd_analysis = sensor_analysis_aggregated_no_filter
+    aggregated_no_filter = rd_analysis.sensor_aggregated_performance
+    rd_analysis.filter_params_aggregated = {"hampel_filter": {}}
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    daily_expected = filtering.hampel_filter(aggregated_no_filter)
+    pd.testing.assert_series_equal(
+        rd_analysis.sensor_filter_aggregated, daily_expected, check_names=False
+    )
+
+
+def test_aggregated_filter_components_directional_tukey_filter(
+        sensor_analysis_aggregated_no_filter):
+    rd_analysis = sensor_analysis_aggregated_no_filter
+    aggregated_no_filter = rd_analysis.sensor_aggregated_performance
+    rd_analysis.filter_params_aggregated = {"directional_tukey_filter": {}}
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    daily_expected = filtering.directional_tukey_filter(aggregated_no_filter)
+    pd.testing.assert_series_equal(
+        rd_analysis.sensor_filter_aggregated, daily_expected, check_names=False
+    )
+
+
+@pytest.mark.parametrize("workflow", ["sensor", "clearsky"])
+def test_filter_ad_hoc_warnings(workflow, sensor_parameters):
+    rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
+    rd_analysis.set_clearsky(
+        pvlib_location=pvlib.location.Location(40, -80),
+        poa_global_clearsky=rd_analysis.poa_global,
+    )
     # warning for incomplete index
-    ad_hoc_filter = pd.Series(True, index=sensor_parameters['pv'].index[:-5])
-    rd_analysis.filter_params['ad_hoc_filter'] = ad_hoc_filter
-    with pytest.warns(UserWarning, match='ad_hoc_filter index does not match index'):
-        if workflow == 'sensor':
-            rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index[:-5])
+    rd_analysis.filter_params["ad_hoc_filter"] = ad_hoc_filter
+    with pytest.warns(UserWarning, match="ad_hoc_filter index does not match index"):
+        if workflow == "sensor":
+            rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.sensor_filter_components
         else:
-            rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
+            rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
+            rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.clearsky_filter_components
 
     # missing values set to True
-    assert components['ad_hoc_filter'].all()
+    assert components["ad_hoc_filter"].all()
 
     # warning about NaNs
-    ad_hoc_filter = pd.Series(True, index=sensor_parameters['pv'].index)
-    ad_hoc_filter.iloc[10] = np.nan
-    rd_analysis.filter_params['ad_hoc_filter'] = ad_hoc_filter
-    with pytest.warns(UserWarning, match='ad_hoc_filter contains NaN values; setting to False'):
-        if workflow == 'sensor':
-            rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
+    ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index, dtype="boolean")
+    ad_hoc_filter.iloc[10] = pd.NA
+    rd_analysis.filter_params["ad_hoc_filter"] = ad_hoc_filter
+    with pytest.warns(
+        UserWarning, match="ad_hoc_filter contains NaN values; setting to False"
+    ):
+        if workflow == "sensor":
+            rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.sensor_filter_components
         else:
-            rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
+            rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
             components = rd_analysis.clearsky_filter_components
 
     # NaN values set to False
-    assert not components['ad_hoc_filter'].iloc[10]
-    assert components.drop(components.index[10])['ad_hoc_filter'].all()
+    assert not components["ad_hoc_filter"].iloc[10]
+    assert components.drop(components.index[10])["ad_hoc_filter"].all()
+
+
+@pytest.mark.parametrize("workflow", ["sensor", "clearsky"])
+def test_aggregated_filter_ad_hoc_warnings(workflow, sensor_parameters):
+    rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
+    rd_analysis.set_clearsky(
+        pvlib_location=pvlib.location.Location(40, -80),
+        poa_global_clearsky=rd_analysis.poa_global,
+    )
+    # disable all filters outside of CSI
+    rd_analysis.filter_params = {"clearsky_filter": {"model": "csi"}}
+    # warning for incomplete index
+    daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index[:-5])
+    daily_ad_hoc_filter = daily_ad_hoc_filter.resample("1D").first().dropna(how="all")
+    rd_analysis.filter_params_aggregated["ad_hoc_filter"] = daily_ad_hoc_filter
+    with pytest.warns(UserWarning, match="ad_hoc_filter index does not match index"):
+        if workflow == "sensor":
+            rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+            components = rd_analysis.sensor_filter_components_aggregated
+        else:
+            rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
+            components = rd_analysis.clearsky_filter_components_aggregated
+
+    # missing values set to True
+    assert components["ad_hoc_filter"].all()
+
+    # warning about NaNs
+    rd_analysis_2 = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0)
+    rd_analysis_2.set_clearsky(
+        pvlib_location=pvlib.location.Location(40, -80),
+        poa_global_clearsky=rd_analysis_2.poa_global,
+    )
+    # disable all filters outside of CSI
+    rd_analysis_2.filter_params = {"clearsky_filter": {"model": "csi"}}
+    daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index)
+    daily_ad_hoc_filter = (
+        daily_ad_hoc_filter.resample("1D").first().dropna(how="all").astype("boolean")
+    )
+    daily_ad_hoc_filter.iloc[10] = pd.NA
+    rd_analysis_2.filter_params_aggregated["ad_hoc_filter"] = daily_ad_hoc_filter
+    with pytest.warns(
+        UserWarning, match="ad_hoc_filter contains NaN values; setting to False"
+    ):
+        if workflow == "sensor":
+            rd_analysis_2.sensor_analysis(analyses=["yoy_degradation"])
+            components = rd_analysis_2.sensor_filter_components_aggregated
+        else:
+            rd_analysis_2.clearsky_analysis(analyses=["yoy_degradation"])
+            components = rd_analysis_2.clearsky_filter_components_aggregated
+
+    # NaN values set to False
+    assert not components["ad_hoc_filter"].iloc[10]
+    assert components.drop(components.index[10])["ad_hoc_filter"].all()
 
 
 def test_cell_temperature_model_invalid(sensor_parameters):
-    wind = pd.Series(0, index=sensor_parameters['pv'].index)
-    sensor_parameters.pop('temperature_model')
-    rd_analysis = TrendAnalysis(**sensor_parameters, windspeed=wind,
-                                temperature_model={'bad': True})
-    with pytest.raises(ValueError, match='pvlib temperature_model entry is neither'):
+    wind = pd.Series(0, index=sensor_parameters["pv"].index)
+    sensor_parameters.pop("temperature_model")
+    rd_analysis = TrendAnalysis(
+        **sensor_parameters, windspeed=wind, temperature_model={"bad": True}
+    )
+    with pytest.raises(ValueError, match="pvlib temperature_model entry is neither"):
         rd_analysis.sensor_analysis()
 
 
 def test_no_gamma_pdc(sensor_parameters):
-    sensor_parameters.pop('gamma_pdc')
+    sensor_parameters.pop("gamma_pdc")
     rd_analysis = TrendAnalysis(**sensor_parameters)
 
     with pytest.warns(UserWarning) as record:
@@ -253,17 +549,17 @@ def test_no_gamma_pdc(sensor_parameters):
 
 
 @pytest.fixture
-def clearsky_parameters(basic_parameters, sensor_parameters,
-                        cs_input, degradation_trend):
+def clearsky_parameters(basic_parameters, sensor_parameters, cs_input, degradation_trend):
     # clear-sky weather data.  Uses TrendAnalysis's internal clear-sky
     # functions to generate the data.
     rd_analysis = TrendAnalysis(**sensor_parameters)
     rd_analysis.set_clearsky(**cs_input)
+    rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
     rd_analysis._clearsky_preprocess()
     poa = rd_analysis.poa_global_clearsky
     clearsky_parameters = basic_parameters
-    clearsky_parameters['poa_global'] = poa
-    clearsky_parameters['pv'] = poa * degradation_trend
+    clearsky_parameters["poa_global"] = poa
+    clearsky_parameters["pv"] = poa * degradation_trend
     return clearsky_parameters
 
 
@@ -271,7 +567,18 @@ def clearsky_parameters(basic_parameters, sensor_parameters,
 def clearsky_analysis(cs_input, clearsky_parameters):
     rd_analysis = TrendAnalysis(**clearsky_parameters)
     rd_analysis.set_clearsky(**cs_input)
-    rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
+    rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
+    rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
+    return rd_analysis
+
+
+@pytest.fixture
+def clearsky_pvlib_analysis(clearsky_example_data):
+    clearsky_parameters_example, cs_input_example = clearsky_example_data
+    rd_analysis = TrendAnalysis(**clearsky_parameters_example)
+    rd_analysis.set_clearsky(**cs_input_example)
+    rd_analysis.filter_params["clearsky_filter"] = {"model": "pvlib"}
+    rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
     return rd_analysis
 
 
@@ -283,49 +590,107 @@ def clearsky_optional(cs_input, clearsky_analysis):
         poa_global_clearsky=clearsky_analysis.poa_global_clearsky,
         temperature_cell_clearsky=clearsky_analysis.temperature_cell_clearsky,
         temperature_ambient_clearsky=clearsky_analysis.temperature_ambient_clearsky,
-        pv_tilt=pd.Series(cs_input['pv_tilt'], index=times),
-        pv_azimuth=pd.Series(cs_input['pv_azimuth'], index=times),
-        solar_position_method='ephemeris',  # just to improve test execution speed
+        pv_tilt=pd.Series(cs_input["pv_tilt"], index=times),
+        pv_azimuth=pd.Series(cs_input["pv_azimuth"], index=times),
+        solar_position_method="ephemeris",  # just to improve test execution speed
     )
     return extras
 
 
+@pytest.fixture
+def sensor_clearsky_analysis(cs_input, clearsky_parameters):
+    rd_analysis = TrendAnalysis(**clearsky_parameters)
+    rd_analysis.set_clearsky(**cs_input)
+    rd_analysis.filter_params = {}  # disable all index-based filters
+    rd_analysis.filter_params["sensor_clearsky_filter"] = {"model": "csi"}
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    return rd_analysis
+
+
+@pytest.fixture
+def sensor_clearsky_pvlib_analysis(clearsky_example_data):
+    clearsky_parameters_example, cs_input_example = clearsky_example_data
+    rd_analysis = TrendAnalysis(**clearsky_parameters_example)
+    rd_analysis.set_clearsky(**cs_input_example)
+    rd_analysis.filter_params = {}  # disable all index-based filters
+    rd_analysis.filter_params["sensor_clearsky_filter"] = {"model": "pvlib"}
+    rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+    return rd_analysis
+
+
 def test_clearsky_analysis(clearsky_analysis):
-    yoy_results = clearsky_analysis.results['clearsky']['yoy_degradation']
-    ci = yoy_results['rd_confidence_interval']
-    rd = yoy_results['p50_rd']
-    print(ci)
-    assert -4.70 == pytest.approx(rd, abs=1e-2)
-    assert [-4.71, -4.69] == pytest.approx(ci, abs=1e-2)
+    yoy_results = clearsky_analysis.results["clearsky"]["yoy_degradation"]
+    ci = yoy_results["rd_confidence_interval"]
+    rd = yoy_results["p50_rd"]
+    assert pytest.approx(rd, abs=1e-2) == -5.15
+    assert pytest.approx(ci, abs=1e-2) == [-5.17, -5.13]
+
+
+def test_clearsky_pvlib_analysis(clearsky_pvlib_analysis):
+    yoy_results = clearsky_pvlib_analysis.results["clearsky"]["yoy_degradation"]
+    ci = yoy_results["rd_confidence_interval"]
+    rd = yoy_results["p50_rd"]
+    assert pytest.approx(rd, abs=1e-2) == -1.589
+    assert pytest.approx(ci, abs=1e-2) == [-2.417, -0.861]
+
+
+def test_clearsky_analysis_filter_components(clearsky_analysis):
+    columns = clearsky_analysis.clearsky_filter_components_aggregated.columns
+    assert {'two_way_window_filter'} == set(columns)
+
+    expected_columns = {'normalized_filter', 'poa_filter', 'tcell_filter',
+                        'clip_filter', 'clearsky_filter'}
+    columns = clearsky_analysis.clearsky_filter_components.columns
+    assert expected_columns == set(columns)
 
 
-def test_clearsky_analysis_optional(clearsky_analysis, clearsky_parameters, clearsky_optional):
+def test_clearsky_analysis_optional(
+    clearsky_analysis, clearsky_parameters, clearsky_optional
+):
 
     clearsky_analysis.set_clearsky(**clearsky_optional)
     clearsky_analysis.clearsky_analysis()
-    yoy_results = clearsky_analysis.results['clearsky']['yoy_degradation']
-    ci = yoy_results['rd_confidence_interval']
-    rd = yoy_results['p50_rd']
-    print(f'ci:{ci}')
-    assert -4.70 == pytest.approx(rd, abs=1e-2)
-    assert [-4.71, -4.69] == pytest.approx(ci, abs=1e-2)
+    yoy_results = clearsky_analysis.results["clearsky"]["yoy_degradation"]
+    ci = yoy_results["rd_confidence_interval"]
+    rd = yoy_results["p50_rd"]
+    print(f"ci:{ci}")
+    assert pytest.approx(rd, abs=1e-2) == -5.15
+    assert pytest.approx(ci, abs=1e-2) == [-5.17, -5.13]
+
+
+def test_sensor_clearsky_analysis(sensor_clearsky_analysis):
+    yoy_results = sensor_clearsky_analysis.results["sensor"]["yoy_degradation"]
+    ci = yoy_results["rd_confidence_interval"]
+    rd = yoy_results["p50_rd"]
+    assert -5.18 == pytest.approx(rd, abs=1e-2)
+    assert [-5.18, -5.18] == pytest.approx(ci, abs=1e-2)
+
+
+def test_sensor_clearsky_pvlib_analysis(sensor_clearsky_pvlib_analysis):
+    yoy_results = sensor_clearsky_pvlib_analysis.results["sensor"]["yoy_degradation"]
+    ci = yoy_results["rd_confidence_interval"]
+    rd = yoy_results["p50_rd"]
+    assert -1.478 == pytest.approx(rd, abs=1e-2)
+    assert [-2.495, -0.649] == pytest.approx(ci, abs=1e-2)
 
 
 @pytest.fixture
 def clearsky_analysis_exp_power(clearsky_parameters, clearsky_optional):
-    power_expected = normalization.pvwatts_dc_power(clearsky_parameters['poa_global'],
-                                                    power_dc_rated=1)
-    clearsky_parameters['power_expected'] = power_expected
+    power_expected = normalization.pvwatts_dc_power(
+        clearsky_parameters["poa_global"], power_dc_rated=1
+    )
+    clearsky_parameters["power_expected"] = power_expected
     rd_analysis = TrendAnalysis(**clearsky_parameters)
     rd_analysis.set_clearsky(**clearsky_optional)
-    rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
+    rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
+    rd_analysis.clearsky_analysis(analyses=["yoy_degradation"])
     return rd_analysis
 
 
 def test_clearsky_analysis_exp_power(clearsky_analysis_exp_power):
-    yoy_results = clearsky_analysis_exp_power.results['clearsky']['yoy_degradation']
-    rd = yoy_results['p50_rd']
-    ci = yoy_results['rd_confidence_interval']
+    yoy_results = clearsky_analysis_exp_power.results["clearsky"]["yoy_degradation"]
+    rd = yoy_results["p50_rd"]
+    ci = yoy_results["rd_confidence_interval"]
 
     assert -5.128 == pytest.approx(rd, abs=1e-2)
     assert [-5.128, -5.127] == pytest.approx(ci, abs=1e-2)
@@ -333,34 +698,52 @@ def test_clearsky_analysis_exp_power(clearsky_analysis_exp_power):
 
 def test_no_set_clearsky(clearsky_parameters):
     rd_analysis = TrendAnalysis(**clearsky_parameters)
-    with pytest.raises(AttributeError, match="No poa_global_clearsky. 'set_clearsky' must be run"):
+    with pytest.raises(
+        AttributeError, match="No poa_global_clearsky. 'set_clearsky' must be run"
+    ):
         rd_analysis.clearsky_analysis()
 
 
 def test_solar_position_method_passthrough(sensor_analysis, mocker):
     # verify that the solar_position_method kwarg is passed through to pvlib correctly
-    spy = mocker.spy(pvlib.solarposition, 'get_solarposition')
-    for method in ['nrel_numpy', 'ephemeris']:
-        sensor_analysis.set_clearsky(pvlib.location.Location(40, -80), pv_tilt=20, pv_azimuth=180,
-                                     solar_position_method=method)
+    spy = mocker.spy(pvlib.solarposition, "get_solarposition")
+    for method in ["nrel_numpy", "ephemeris"]:
+        sensor_analysis.set_clearsky(
+            pvlib.location.Location(40, -80),
+            pv_tilt=20,
+            pv_azimuth=180,
+            solar_position_method=method,
+        )
         sensor_analysis._calc_clearsky_poa()
-        assert spy.call_args[1]['method'] == method
+        assert spy.call_args[1]["method"] == method
 
 
 def test_index_mismatch():
     # GH #277
-    times = pd.date_range('2019-01-01', '2022-01-01', freq='15min')
+    times = pd.date_range("2019-01-01", "2022-01-01", freq="15min")
     pv = pd.Series(1.0, index=times)
-    dummy_series = pd.Series(1.0, index=times[::4])  # low-frequency weather inputs
-    keys = ['poa_global', 'temperature_cell', 'temperature_ambient', 'power_expected', 'windspeed']
+    # low-frequency weather inputs
+    dummy_series = pd.Series(1.0, index=times[::4])
+    keys = [
+        "poa_global",
+        "temperature_cell",
+        "temperature_ambient",
+        "power_expected",
+        "windspeed",
+    ]
     kwargs = {key: dummy_series.copy() for key in keys}
     rd_analysis = TrendAnalysis(pv, **kwargs)
     for key in keys:
         interpolated_series = getattr(rd_analysis, key)
         assert interpolated_series.index.equals(times)
 
-    cs_keys = ['poa_global_clearsky', 'temperature_cell_clearsky', 'temperature_ambient_clearsky',
-               'pv_azimuth', 'pv_tilt']
+    cs_keys = [
+        "poa_global_clearsky",
+        "temperature_cell_clearsky",
+        "temperature_ambient_clearsky",
+        "pv_azimuth",
+        "pv_tilt",
+    ]
     cs_kwargs = {key: dummy_series.copy() for key in cs_keys}
     rd_analysis.set_clearsky(**cs_kwargs)
     for key in cs_keys:
@@ -371,13 +754,13 @@ def test_index_mismatch():
 @pytest.fixture
 def soiling_parameters(basic_parameters, soiling_normalized_daily, cs_input):
     # parameters for soiling analysis with TrendAnalysis
-    power = soiling_normalized_daily.resample('1h').interpolate()
+    power = soiling_normalized_daily.resample("1h").interpolate()
     return dict(
         pv=power,
         poa_global=power * 0 + 1000,
         temperature_cell=power * 0 + 25,
         gamma_pdc=0,
-        interp_freq='D',
+        interp_freq="D",
     )
 
 
@@ -385,8 +768,7 @@ def soiling_parameters(basic_parameters, soiling_normalized_daily, cs_input):
 def soiling_analysis_sensor(soiling_parameters):
     soiling_analysis = TrendAnalysis(**soiling_parameters)
     np.random.seed(1977)
-    soiling_analysis.sensor_analysis(analyses=['srr_soiling'],
-                                     srr_kwargs={'reps': 10})
+    soiling_analysis.sensor_analysis(analyses=["srr_soiling"], srr_kwargs={"reps": 10})
     return soiling_analysis
 
 
@@ -395,88 +777,219 @@ def soiling_analysis_clearsky(soiling_parameters, cs_input):
     soiling_analysis = TrendAnalysis(**soiling_parameters)
     soiling_analysis.set_clearsky(**cs_input)
     np.random.seed(1977)
-    with pytest.warns(UserWarning, match='20% or more of the daily data'):
-        soiling_analysis.clearsky_analysis(analyses=['srr_soiling'],
-                                           srr_kwargs={'reps': 10})
+    soiling_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
+    with pytest.warns(UserWarning, match="20% or more of the daily data"):
+        soiling_analysis.clearsky_analysis(
+            analyses=["srr_soiling"], srr_kwargs={"reps": 10}
+        )
     return soiling_analysis
 
 
 def test_srr_soiling(soiling_analysis_sensor):
-    srr_results = soiling_analysis_sensor.results['sensor']['srr_soiling']
-    sratio = srr_results['p50_sratio']
-    ci = srr_results['sratio_confidence_interval']
-    renorm_factor = srr_results['calc_info']['renormalizing_factor']
-    print(f'soiling ci:{ci}')
-    assert 0.965 == pytest.approx(sratio, abs=1e-3), \
-        'Soiling ratio different from expected value in TrendAnalysis.srr_soiling'
-    assert [0.96, 0.97] == pytest.approx(ci, abs=1e-2), \
-        'Soiling confidence interval different from expected value in TrendAnalysis.srr_soiling'
-    assert 0.974 == pytest.approx(renorm_factor, abs=1e-3), \
-        'Renormalization factor different from expected value in TrendAnalysis.srr_soiling'
+    srr_results = soiling_analysis_sensor.results["sensor"]["srr_soiling"]
+    sratio = srr_results["p50_sratio"]
+    ci = srr_results["sratio_confidence_interval"]
+    renorm_factor = srr_results["calc_info"]["renormalizing_factor"]
+    print(f"soiling ci:{ci}")
+    assert 0.965 == pytest.approx(
+        sratio, abs=1e-3
+    ), "Soiling ratio different from expected value in TrendAnalysis.srr_soiling"
+    assert [0.96, 0.97] == pytest.approx(
+        ci, abs=1e-2
+    ), "Soiling confidence interval different from expected value in TrendAnalysis.srr_soiling"
+    assert pytest.approx(
+        renorm_factor, abs=1e-3
+    ) == 0.977, "Renormalization factor different from expected value in TrendAnalysis.srr_soiling"
 
 
 def test_plot_degradation(sensor_analysis):
-    assert_isinstance(
-        sensor_analysis.plot_degradation_summary('sensor'), plt.Figure)
-    assert_isinstance(
-        sensor_analysis.plot_pv_vs_irradiance('sensor'), plt.Figure)
+    assert_isinstance(sensor_analysis.plot_degradation_summary("sensor"), plt.Figure)
+    assert_isinstance(sensor_analysis.plot_pv_vs_irradiance("sensor"), plt.Figure)
 
 
 def test_plot_cs(clearsky_analysis):
     assert_isinstance(
-        clearsky_analysis.plot_degradation_summary('clearsky'), plt.Figure)
-    assert_isinstance(
-        clearsky_analysis.plot_pv_vs_irradiance('clearsky'), plt.Figure)
+        clearsky_analysis.plot_degradation_summary("clearsky"), plt.Figure
+    )
+    assert_isinstance(clearsky_analysis.plot_pv_vs_irradiance("clearsky"), plt.Figure)
 
 
 def test_plot_soiling(soiling_analysis_sensor):
     assert_isinstance(
-        soiling_analysis_sensor.plot_soiling_monte_carlo('sensor'), plt.Figure)
+        soiling_analysis_sensor.plot_soiling_monte_carlo("sensor"), plt.Figure
+    )
     assert_isinstance(
-        soiling_analysis_sensor.plot_soiling_interval('sensor'), plt.Figure)
+        soiling_analysis_sensor.plot_soiling_interval("sensor"), plt.Figure
+    )
     assert_isinstance(
-        soiling_analysis_sensor.plot_soiling_rate_histogram('sensor'), plt.Figure)
+        soiling_analysis_sensor.plot_soiling_rate_histogram("sensor"), plt.Figure
+    )
 
 
 def test_plot_soiling_cs(soiling_analysis_clearsky):
     assert_isinstance(
-        soiling_analysis_clearsky.plot_soiling_monte_carlo('clearsky'), plt.Figure)
+        soiling_analysis_clearsky.plot_soiling_monte_carlo("clearsky"), plt.Figure
+    )
     assert_isinstance(
-        soiling_analysis_clearsky.plot_soiling_interval('clearsky'), plt.Figure)
+        soiling_analysis_clearsky.plot_soiling_interval("clearsky"), plt.Figure
+    )
     assert_isinstance(
-        soiling_analysis_clearsky.plot_soiling_rate_histogram('clearsky'), plt.Figure)
+        soiling_analysis_clearsky.plot_soiling_rate_histogram("clearsky"), plt.Figure
+    )
 
 
 def test_errors(sensor_parameters, clearsky_analysis):
 
-    rdtemp = TrendAnalysis(sensor_parameters['pv'])
-    with pytest.raises(ValueError, match='poa_global must be available'):
+    rdtemp = TrendAnalysis(sensor_parameters["pv"])
+    with pytest.raises(ValueError, match="poa_global must be available"):
         rdtemp._sensor_preprocess()
 
     # no temperature
-    rdtemp = TrendAnalysis(sensor_parameters['pv'],
-                           poa_global=sensor_parameters['poa_global'])
-    with pytest.raises(ValueError, match='either cell or ambient temperature'):
+    rdtemp = TrendAnalysis(
+        sensor_parameters["pv"], poa_global=sensor_parameters["poa_global"]
+    )
+    with pytest.raises(ValueError, match="either cell or ambient temperature"):
         rdtemp._sensor_preprocess()
 
     # clearsky analysis with no tilt/azm
-    clearsky_analysis.pv_tilt = None
-    clearsky_analysis.poa_global_clearsky = None
-    with pytest.raises(ValueError, match='pv_tilt and pv_azimuth must be provided'):
+    del clearsky_analysis.pv_tilt
+    clearsky_analysis.poa_global_clearsky = (
+        None  # just needs to exist to test these errors
+    )
+    with pytest.raises(ValueError, match="pv_tilt and pv_azimuth must be provided"):
         clearsky_analysis._clearsky_preprocess()
 
     # clearsky analysis with no pvlib.loc
-    clearsky_analysis.pvlib_location = None
-    with pytest.raises(ValueError, match='pvlib location must be provided'):
+    del clearsky_analysis.pvlib_location
+    with pytest.raises(ValueError, match="pvlib location must be provided"):
         clearsky_analysis._clearsky_preprocess()
 
 
-@pytest.mark.parametrize('method_name', ['plot_degradation_summary',
-                                         'plot_soiling_monte_carlo',
-                                         'plot_soiling_interval',
-                                         'plot_soiling_rate_histogram',
-                                         'plot_pv_vs_irradiance'])
+@pytest.mark.parametrize(
+    "method_name",
+    [
+        "plot_degradation_summary",
+        "plot_soiling_monte_carlo",
+        "plot_soiling_interval",
+        "plot_soiling_rate_histogram",
+        "plot_pv_vs_irradiance",
+    ],
+)
 def test_plot_errors(method_name, sensor_analysis):
     func = getattr(sensor_analysis, method_name)
     with pytest.raises(ValueError, match="case must be either 'sensor' or 'clearsky'"):
-        func(case='bad')
+        func(case="bad")
+
+
+def test_plot_degradation_timeseries(sensor_analysis, clearsky_analysis):
+    assert_isinstance(sensor_analysis.plot_degradation_timeseries("sensor"), plt.Figure)
+    assert_isinstance(
+        clearsky_analysis.plot_degradation_timeseries("clearsky"), plt.Figure
+    )
+
+
+def test_energy_from_power_hourly_data():
+
+    times = pd.date_range("2019-01-01 00:00:00", periods=3, freq="h")
+    pv = pd.Series([1.2, 2.8, 2.0], index=times)
+
+    energy = normalization.energy_from_power(pv)
+    pd.testing.assert_series_equal(energy, pv[1:], check_names=False)
+
+
+def test_energy_from_power_shifted_hourly_data():
+
+    times = pd.date_range("2019-01-01 00:30:00", periods=3, freq="h")
+    pv = pd.Series([1.2, 2.8, 2.0], index=times)
+
+    energy = normalization.energy_from_power(pv)
+    pd.testing.assert_series_equal(energy, pv[1:], check_names=False)
+
+
+def test_validated_filter_dict_initialization():
+    valid_keys = ["key1", "key2"]
+    filter_dict = ValidatedFilterDict(valid_keys, key1="value1", key2="value2")
+    assert filter_dict["key1"] == "value1"
+    assert filter_dict["key2"] == "value2"
+
+
+def test_validated_filter_dict_invalid_key_initialization():
+    valid_keys = ["key1", "key2"]
+    with pytest.raises(KeyError, match="Key 'key3' is not a valid filter parameter."):
+        ValidatedFilterDict(valid_keys, key1="value1", key3="value3")
+
+
+def test_validated_filter_dict_setitem():
+    valid_keys = ["key1", "key2"]
+    filter_dict = ValidatedFilterDict(valid_keys)
+    filter_dict["key1"] = "value1"
+    assert filter_dict["key1"] == "value1"
+
+
+def test_validated_filter_dict_setitem_invalid_key():
+    valid_keys = ["key1", "key2"]
+    filter_dict = ValidatedFilterDict(valid_keys)
+    with pytest.raises(KeyError, match="Key 'key3' is not a valid filter parameter."):
+        filter_dict["key3"] = "value3"
+
+
+def test_validated_filter_dict_update():
+    valid_keys = ["key1", "key2"]
+    filter_dict = ValidatedFilterDict(valid_keys)
+    filter_dict.update({"key1": "value1", "key2": "value2"})
+    assert filter_dict["key1"] == "value1"
+    assert filter_dict["key2"] == "value2"
+
+
+def test_validated_filter_dict_update_invalid_key():
+    valid_keys = ["key1", "key2"]
+    filter_dict = ValidatedFilterDict(valid_keys)
+    with pytest.raises(KeyError, match="Key 'key3' is not a valid filter parameter."):
+        filter_dict.update({"key1": "value1", "key3": "value3"})
+
+
+@pytest.mark.parametrize(
+    "filter_param",
+    [
+        "normalized_filter",
+        "poa_filter",
+        "tcell_filter",
+        "clip_filter",
+        "hour_angle_filter",
+        "clearsky_filter",
+        "sensor_clearsky_filter",
+        "ad_hoc_filter",
+    ],
+)
+def test_valid_filter_params(sensor_analysis, filter_param):
+    sensor_analysis.filter_params[filter_param] = {}
+    assert filter_param in sensor_analysis.filter_params
+
+
+def test_invalid_filter_params(sensor_analysis, filter_param="invalid_filter"):
+    with pytest.raises(KeyError, match=f"Key '{filter_param}' is not a valid filter parameter."):
+        sensor_analysis.filter_params[filter_param] = {}
+
+
+@pytest.mark.parametrize(
+    "filter_param_aggregated",
+    [
+        "two_way_window_filter",
+        "insolation_filter",
+        "hampel_filter",
+        "directional_tukey_filter",
+        "ad_hoc_filter",
+    ],
+)
+def test_valid_filter_params_aggregated(sensor_analysis, filter_param_aggregated):
+    sensor_analysis.filter_params_aggregated[filter_param_aggregated] = {}
+    assert filter_param_aggregated in sensor_analysis.filter_params_aggregated
+
+
+def test_invalid_filter_params_aggregated(
+    sensor_analysis, filter_param_aggregated="invalid_filter"
+):
+    with pytest.raises(
+        KeyError, match=f"Key '{filter_param_aggregated}' is not a valid filter parameter."
+    ):
+        sensor_analysis.filter_params_aggregated[filter_param_aggregated] = {}
diff --git a/rdtools/test/availability_test.py b/rdtools/test/availability_test.py
index 2b6608c29..d022752ca 100644
--- a/rdtools/test/availability_test.py
+++ b/rdtools/test/availability_test.py
@@ -53,7 +53,7 @@ def power_data(request):
     # a few days of clearsky irradiance for creating a plausible power signal
     times = pd.date_range('2019-01-01', '2019-01-05 23:59', freq='15min',
                           tz='US/Eastern')
-    location = pvlib.location.Location(40, -80)
+    location = pvlib.location.Location(40, -80, altitude=0)
     # use haurwitz to avoid dependency on `tables`
     clearsky = location.get_clearsky(times, model='haurwitz')
 
diff --git a/rdtools/test/bootstrap_test.py b/rdtools/test/bootstrap_test.py
new file mode 100644
index 000000000..cce236b22
--- /dev/null
+++ b/rdtools/test/bootstrap_test.py
@@ -0,0 +1,59 @@
+"""Bootstrap module tests."""
+
+import pytest
+
+from rdtools.bootstrap import (
+    _construct_confidence_intervals,
+    _make_time_series_bootstrap_samples,
+)
+from rdtools.degradation import degradation_year_on_year
+
+
+@pytest.mark.parametrize("decomposition_type", ["multiplicative", "additive", "error"])
+def test_bootstrap_module(
+    cods_normalized_daily, cods_normalized_daily_wo_noise, decomposition_type
+):
+
+    if decomposition_type == "error":
+        with pytest.raises(ValueError):
+            _make_time_series_bootstrap_samples(
+                cods_normalized_daily,
+                cods_normalized_daily_wo_noise,
+                decomposition_type=decomposition_type)
+
+    else:
+        # Rest make time serie bootstrap samples and construct of confidence intervals.
+        # Test make bootstrap samples
+        bootstrap_samples = _make_time_series_bootstrap_samples(
+            cods_normalized_daily,
+            cods_normalized_daily_wo_noise,
+            sample_nr=10,
+            block_length=90,
+            decomposition_type=decomposition_type,
+        )
+        # Check if results are as expected
+        assert (
+            bootstrap_samples.index == cods_normalized_daily.index
+        ).all(), "Index of bootstrapped signals is not as expected"
+        assert (
+            bootstrap_samples.shape[1] == 10
+        ), "Number of columns in bootstrapped signals is wrong"
+
+        # Test construction of confidence intervals
+        confidence_intervals, exceedance_level, metrics = (
+            _construct_confidence_intervals(
+                bootstrap_samples, degradation_year_on_year, uncertainty_method="none"
+            )
+        )
+
+        # Check if results are as expected
+        assert (
+            len(confidence_intervals) == 2
+        ), "2 confidence interval bounds not returned"
+        assert isinstance(confidence_intervals[0], float) and isinstance(
+            confidence_intervals[1], float
+        ), "Confidence interval bounds are not float"
+        assert isinstance(exceedance_level, float), "Exceedance level is not float"
+        assert len(metrics) == 10, "Length of metrics is not as expected"
+        for m in metrics:
+            assert isinstance(m, float), "Not all metrics are float"
diff --git a/rdtools/test/clearsky_temperature_test.py b/rdtools/test/clearsky_temperature_test.py
index 71cbe86d1..03571a365 100644
--- a/rdtools/test/clearsky_temperature_test.py
+++ b/rdtools/test/clearsky_temperature_test.py
@@ -47,7 +47,7 @@ def test_with_tricky_timezones():
     tz = 'America/Santiago'
     start_date = datetime.datetime(2018, 8, 10, 0, 0, 0)
     end_date = datetime.datetime(2018, 8, 14, 23, 0, 0)
-    freq = 'H'
+    freq = "h"
     lat = -24
     lon = -70
 
diff --git a/rdtools/test/conftest.py b/rdtools/test/conftest.py
index 1a3e36543..b940f2df1 100644
--- a/rdtools/test/conftest.py
+++ b/rdtools/test/conftest.py
@@ -1,6 +1,4 @@
-from pkg_resources import parse_version
 import pytest
-from functools import wraps
 import numpy as np
 import pandas as pd
 import itertools
@@ -9,31 +7,6 @@
 
 import rdtools
 
-rdtools_base_version = \
-    parse_version(parse_version(rdtools.__version__).base_version)
-
-
-# decorator takes one argument: the base version for which it should fail
-# for example @fail_on_rdtools_version('3.0.0') will cause a test to fail
-# on rdtools versions 3.0.0, 3.0.0-alpha, 3.1.0, etc
-def fail_on_rdtools_version(version):
-    # second level of decorator takes the function under consideration
-    def wrapper(func):
-        # third level defers computation until the test is called
-        # this allows the specific test to fail at test runtime,
-        # rather than at decoration time (when the module is imported)
-        @wraps(func)
-        def inner(*args, **kwargs):
-            # fail if the version is too high
-            if rdtools_base_version >= parse_version(version):
-                pytest.fail('the tested function is scheduled to be '
-                            'removed in %s' % version)
-            # otherwise return the function to be executed
-            else:
-                return func(*args, **kwargs)
-        return inner
-    return wrapper
-
 
 def assert_isinstance(obj, klass):
     assert isinstance(obj, klass), f'got {type(obj)}, expected {klass}'
@@ -58,11 +31,6 @@ def assert_warnings(messages, record):
         assert found_match, f"warning '{pattern}' not in {warning_messages}"
 
 
-requires_pvlib_below_090 = \
-    pytest.mark.skipif(parse_version(pvlib.__version__) > parse_version('0.8.1'),
-                       reason='requires pvlib <= 0.8.1')
-
-
 # %% Soiling fixtures
 
 @pytest.fixture()
@@ -98,6 +66,44 @@ def soiling_insolation(soiling_times):
     return insolation
 
 
+@pytest.fixture()
+def cods_times():
+    tz = 'Etc/GMT+7'
+    cods_times = pd.date_range('2019/01/01', '2021/01/01', freq='D', tz=tz)
+    return cods_times
+
+
+@pytest.fixture()
+def cods_normalized_daily_wo_noise(cods_times):
+    N = len(cods_times)
+    interval_1 = 1 - 0.005 * np.arange(0, 25, 1)
+    interval_2 = 1 - 0.002 * np.arange(0, 25, 1)
+    interval_3 = 1 - 0.001 * np.arange(0, 25, 1)
+    profile = np.concatenate((interval_1, interval_2, interval_3))
+    repeated_profile = np.concatenate([profile for _ in range(int(np.ceil(N / 75)))])
+    cods_normalized_daily_wo_noise = pd.Series(data=repeated_profile[:N], index=cods_times)
+    return cods_normalized_daily_wo_noise
+
+
+@pytest.fixture()
+def cods_normalized_daily(cods_normalized_daily_wo_noise):
+    N = len(cods_normalized_daily_wo_noise)
+    np.random.seed(1977)
+    noise = 1 + 0.02 * (np.random.rand(N) - 0.5)
+    cods_normalized_daily = cods_normalized_daily_wo_noise * noise
+    return cods_normalized_daily
+
+
+@pytest.fixture()
+def cods_normalized_daily_small_soiling(cods_normalized_daily_wo_noise):
+    N = len(cods_normalized_daily_wo_noise)
+    np.random.seed(1977)
+    noise = 1 + 0.02 * (np.random.rand(N) - 0.5)
+    cods_normalized_daily_small_soiling = cods_normalized_daily_wo_noise.apply(
+        lambda row: 1-(1-row)*0.1) * noise
+    return cods_normalized_daily_small_soiling
+
+
 # %% Availability fixtures
 
 ENERGY_PARAMETER_SPACE = list(itertools.product(
diff --git a/rdtools/test/degradation_test.py b/rdtools/test/degradation_test.py
index a66e4cdd6..4e92a1f19 100644
--- a/rdtools/test/degradation_test.py
+++ b/rdtools/test/degradation_test.py
@@ -23,7 +23,7 @@ def get_corr_energy(cls, rd, input_freq):
         daily_rd = rd / 365.0
 
         start = '2012-01-01'
-        if input_freq == 'S':
+        if input_freq == "s":
             end = '2012-03-01'
         else:
             end = '2015-01-01'
@@ -53,22 +53,39 @@ def setUpClass(cls):
         # define module constants and parameters
 
         # All frequencies
-        cls.list_all_input_freq = ['MS', 'M', 'W',
-                                   'D', 'H', 'T', 'S', 'Irregular_D']
+        cls.list_all_input_freq = ["MS", "ME", "W", "D", "h", "min", "s", "Irregular_D"]
 
         # Allowed frequencies for degradation_ols
-        cls.list_ols_input_freq = ['MS', 'M', 'W',
-                                   'D', 'H', 'T', 'S', 'Irregular_D']
+        cls.list_ols_input_freq = ["MS", "ME", "W", "D", "h", "min", "s", "Irregular_D"]
 
         '''
         Allowed frequencies for degradation_classical_decomposition
         in principle CD works on higher frequency data but that makes the
         tests painfully slow
         '''
-        cls.list_CD_input_freq = ['MS', 'M', 'W', 'D']
+        cls.list_CD_input_freq = ["MS", "ME", "W", "D"]
 
         # Allowed frequencies for degradation_year_on_year
-        cls.list_YOY_input_freq = ['MS', 'M', 'W', 'D', 'Irregular_D']
+        cls.list_YOY_input_freq = ["MS", "ME", "W", "D", "Irregular_D"]
+
+        # ------------------------------------------------------------------------------------------------
+        # Allow pandas < 2.2.0 to use 'M' as an alias for MonthEnd
+        # https://pandas.pydata.org/docs/whatsnew/v2.2.0.html#deprecate-aliases-m-q-y-etc-in-favour-of-me-qe-ye-etc-for-offsets
+        # Check pandas version and set frequency alias
+        pandas_version = pd.__version__.split(".")
+        if int(pandas_version[0]) < 2 or (
+            int(pandas_version[0]) == 2 and int(pandas_version[1]) < 2
+        ):
+            for list in [
+                cls.list_all_input_freq,
+                cls.list_ols_input_freq,
+                cls.list_CD_input_freq,
+                cls.list_YOY_input_freq,
+            ]:
+                if "ME" in list:
+                    list.remove("ME")
+                    list.append(pd.tseries.offsets.MonthEnd())
+        # ------------------------------------------------------------------------------------------------
 
         cls.rd = -0.005
 
@@ -118,12 +135,33 @@ def test_degradation_year_on_year(self):
         # test YOY degradation calc
         for input_freq in self.list_YOY_input_freq:
             logging.debug('Frequency: {}'.format(input_freq))
+            print(self.test_corr_energy[input_freq])
             rd_result = degradation_year_on_year(
                 self.test_corr_energy[input_freq])
             self.assertAlmostEqual(rd_result[0], 100 * self.rd, places=1)
             logging.debug('Actual: {}'.format(100 * self.rd))
             logging.debug('Estimated: {}'.format(rd_result[0]))
 
+    def test_degradation_year_on_year_circular_block_bootstrap(self):
+        ''' Test degradation with year on year approach with circular block bootstrapping. '''
+
+        funcName = sys._getframe().f_code.co_name
+        logging.debug('Running {}'.format(funcName))
+
+        # test YOY degradation calc
+        for input_freq in self.list_YOY_input_freq:
+            if input_freq != 'Irregular_D':
+                logging.debug('Frequency: {}'.format(input_freq))
+                length_of_series = len(self.test_corr_energy[input_freq])
+                block_length = 30 if length_of_series > 100 else int(length_of_series / 5)
+                rd_result = degradation_year_on_year(
+                    self.test_corr_energy[input_freq],
+                    uncertainty_method='circular_block',
+                    block_length=block_length)
+                self.assertAlmostEqual(rd_result[0], 100 * self.rd, places=1)
+                logging.debug('Actual: {}'.format(100 * self.rd))
+                logging.debug('Estimated: {}'.format(rd_result[0]))
+
     def test_confidence_intervals(self):
 
         funcName = sys._getframe().f_code.co_name
@@ -165,18 +203,27 @@ def test_usage_of_points(self):
         self.assertTrue((np.sum(rd_result[2]['usage_of_points'])) == 1462)
 
 
-@pytest.mark.parametrize('start,end,freq', [
-    ('2014-01-01', '2015-12-31', 'D'),   # no leap day
-    ('2015-01-01', '2016-12-31', 'D'),   # leap day included in index
-    ('2015-01-01', '2016-12-29', '7D'),  # leap day in period but not in index
-    ('2016-06-01', '2018-05-31', 'D'),   # leap year, but no leap day in period
-    #  ('2016-02-29', '2018-02-28', 'd'),   # starts on leap day (doesn't work)
-    ('2014-03-01', '2016-02-29', 'D'),   # ends on leap day
-    ('2015-01-01', '2016-12-31', 'M'),   # month end
-    ('2015-01-01', '2016-12-31', 'MS'),   # month start
-])
+@pytest.mark.parametrize(
+    "start,end,freq",
+    [
+        ("2014-01-01", "2015-12-31", "D"),  # no leap day
+        ("2015-01-01", "2016-12-31", "D"),  # leap day included in index
+        ("2015-01-01", "2016-12-29", "7D"),  # leap day in period but not in index
+        ("2016-06-01", "2018-05-31", "D"),  # leap year, but no leap day in period
+        #  ('2016-02-29', '2018-02-28', 'd'),   # starts on leap day (doesn't work)
+        ("2014-03-01", "2016-02-29", "D"),  # ends on leap day
+        ("2015-01-01", "2016-12-31", "ME"),  # month end
+        ("2015-01-01", "2016-12-31", "MS"),  # month start
+    ],
+)
 def test_yoy_two_years_error(start, end, freq):
-    # GH 339
+    # ----------------------------------------------------------------
+    # Allow pandas < 2.2.0 to use 'M' as an alias for MonthEnd
+    # https://pandas.pydata.org/docs/whatsnew/v2.2.0.html#deprecate-aliases-m-q-y-etc-in-favour-of-me-qe-ye-etc-for-offsets
+    if freq == "ME":
+        freq = pd.tseries.offsets.MonthEnd()
+    # ----------------------------------------------------------------
+
     times = pd.date_range(start, end, freq=freq)
     series = pd.Series(1, index=times)
     # introduce NaN at the end to ensure that the 2 year requirement applies to
diff --git a/rdtools/test/energy_from_power_test.py b/rdtools/test/energy_from_power_test.py
index cf4230e4f..eb6d1b909 100644
--- a/rdtools/test/energy_from_power_test.py
+++ b/rdtools/test/energy_from_power_test.py
@@ -6,7 +6,7 @@
 
 @pytest.fixture
 def times():
-    return pd.date_range(start='20200101 12:00', end='20200101 13:00', freq='15T')
+    return pd.date_range(start="20200101 12:00", end="20200101 13:00", freq="15min")
 
 
 @pytest.fixture
@@ -15,72 +15,73 @@ def power(times):
 
 
 def test_energy_from_power_single_arg(power):
-    expected = power.iloc[1:]*0.25
-    expected.name = 'energy_Wh'
+    expected = power.iloc[1:] * 0.25
+    expected.name = "energy_Wh"
     result = energy_from_power(power)
     pd.testing.assert_series_equal(result, expected)
 
 
 def test_energy_from_power_instantaneous(power):
-    expected = (0.25*(power + power.shift())/2).dropna()
-    expected.name = 'energy_Wh'
-    result = energy_from_power(power, power_type='instantaneous')
+    expected = (0.25 * (power + power.shift()) / 2).dropna()
+    expected.name = "energy_Wh"
+    result = energy_from_power(power, power_type="instantaneous")
     pd.testing.assert_series_equal(result, expected)
 
 
 def test_energy_from_power_max_timedelta_inference(power):
-    expected = power.iloc[1:]*0.25
-    expected.name = 'energy_Wh'
+    expected = power.iloc[1:] * 0.25
+    expected.name = "energy_Wh"
     expected.iloc[:2] = np.nan
-    match = 'Fraction of excluded data (.*) exceeded threshold'
+    match = "Fraction of excluded data (.*) exceeded threshold"
     with pytest.warns(UserWarning, match=match):
         result = energy_from_power(power.drop(power.index[1]))
     pd.testing.assert_series_equal(result, expected)
 
 
 def test_energy_from_power_max_timedelta(power):
-    expected = power.iloc[1:]*0.25
-    expected.name = 'energy_Wh'
-    result = energy_from_power(power.drop(power.index[1]),
-                               max_timedelta=pd.to_timedelta('30 minutes'))
+    expected = power.iloc[1:] * 0.25
+    expected.name = "energy_Wh"
+    result = energy_from_power(
+        power.drop(power.index[1]), max_timedelta=pd.to_timedelta("30 minutes")
+    )
     pd.testing.assert_series_equal(result, expected)
 
 
 def test_energy_from_power_upsample(power):
-    expected = power.resample('10T').asfreq().interpolate()/6
+    expected = power.resample("10min").asfreq().interpolate() / 6
     expected = expected.iloc[1:]
-    expected.name = 'energy_Wh'
-    result = energy_from_power(power, target_frequency='10T')
+    expected.name = "energy_Wh"
+    result = energy_from_power(power, target_frequency="10min")
     pd.testing.assert_series_equal(result, expected)
 
 
 def test_energy_from_power_downsample(power):
-    expected = power.resample('20T').asfreq()
+    expected = power.resample("20min").asfreq()
     expected = expected.iloc[1:]
     expected = pd.Series([0.75, 0.833333333, 0.416666667], index=expected.index)
-    expected.name = 'energy_Wh'
-    result = energy_from_power(power, target_frequency='20T')
+    expected.name = "energy_Wh"
+    result = energy_from_power(power, target_frequency="20min")
     pd.testing.assert_series_equal(result, expected)
 
 
 def test_energy_from_power_max_timedelta_edge_case():
-    times = pd.date_range('2020-01-01 12:00', periods=4, freq='15T')
+    times = pd.date_range("2020-01-01 12:00", periods=4, freq="15min")
     power = pd.Series(1, index=times)
     power = power.drop(power.index[2])
-    result = energy_from_power(power, '30T', max_timedelta=pd.to_timedelta('20 minutes'))
+    result = energy_from_power(power, "30min", max_timedelta=pd.to_timedelta("20 minutes"))
     assert result.isnull().all()
 
 
 def test_energy_from_power_single_value_input():
-    times = pd.date_range('2019-01-01', freq='15T', periods=1)
-    power = pd.Series([100.], index=times)
-    expected_result = pd.Series([25.], index=times, name='energy_Wh')
+    times = pd.date_range("2019-01-01", freq="15min", periods=1)
+    power = pd.Series([100.0], index=times)
+    expected_result = pd.Series([25.0], index=times, name="energy_Wh")
     result = energy_from_power(power)
     pd.testing.assert_series_equal(result, expected_result)
 
 
 def test_energy_from_power_single_value_input_no_freq():
-    power = pd.Series([1], pd.date_range('2019-01-01', periods=1, freq='15T'))
+    power = pd.Series([1], pd.date_range("2019-01-01", periods=1, freq="15min"))
     power.index.freq = None
     match = "Could not determine period of input power"
     with pytest.raises(ValueError, match=match):
@@ -88,27 +89,36 @@ def test_energy_from_power_single_value_input_no_freq():
 
 
 def test_energy_from_power_single_value_instantaneous():
-    power = pd.Series([1], pd.date_range('2019-01-01', periods=1, freq='15T'))
+    power = pd.Series([1], pd.date_range("2019-01-01", periods=1, freq="15min"))
     power.index.freq = None
-    match = ("power_type='instantaneous' is incompatible with single element power. "
-             "Use power_type='right-labeled'")
+    match = (
+        "power_type='instantaneous' is incompatible with single element power. "
+        "Use power_type='right-labeled'"
+    )
     with pytest.raises(ValueError, match=match):
-        energy_from_power(power, power_type='instantaneous')
+        energy_from_power(power, power_type="instantaneous")
 
 
 def test_energy_from_power_single_value_with_target():
-    times = pd.date_range('2019-01-01', freq='15T', periods=1)
-    power = pd.Series([100.], index=times)
-    expected_result = pd.Series([100.], index=times, name='energy_Wh')
-    result = energy_from_power(power, target_frequency='H')
+    times = pd.date_range("2019-01-01", freq="15min", periods=1)
+    power = pd.Series([100.0], index=times)
+    expected_result = pd.Series([100.0], index=times, name="energy_Wh")
+    result = energy_from_power(power, target_frequency="h")
     pd.testing.assert_series_equal(result, expected_result)
 
 
 def test_energy_from_power_leading_nans():
     # GH 244
-    power = pd.Series(1, pd.date_range('2019-01-01', freq='15min', periods=5))
+    power = pd.Series(1, pd.date_range("2019-01-01", freq="15min", periods=5))
     power.iloc[:2] = np.nan
-    expected_result = pd.Series([np.nan, np.nan, 0.25, 0.25],
-                                index=power.index[1:], name='energy_Wh')
+    expected_result = pd.Series(
+        [np.nan, np.nan, 0.25, 0.25], index=power.index[1:], name="energy_Wh"
+    )
     result = energy_from_power(power)
     pd.testing.assert_series_equal(result, expected_result)
+
+
+def test_energy_from_power_series_index():
+    power = pd.Series([1, 2, 3, 4, 5])
+    with pytest.raises(ValueError):
+        energy_from_power(power)
diff --git a/rdtools/test/filtering_test.py b/rdtools/test/filtering_test.py
index 4f99b85ea..586b32165 100644
--- a/rdtools/test/filtering_test.py
+++ b/rdtools/test/filtering_test.py
@@ -3,16 +3,51 @@
 import pytest
 import pandas as pd
 import numpy as np
-from rdtools import (csi_filter,
+from rdtools import (clearsky_filter,
+                     csi_filter,
+                     pvlib_clearsky_filter,
                      poa_filter,
                      tcell_filter,
                      clip_filter,
                      quantile_clip_filter,
                      normalized_filter,
                      logic_clip_filter,
-                     xgboost_clip_filter)
+                     xgboost_clip_filter,
+                     two_way_window_filter,
+                     insolation_filter,
+                     hampel_filter,
+                     directional_tukey_filter,
+                     hour_angle_filter)
 import warnings
 from conftest import assert_warnings
+from pandas import testing as tm
+
+
+def test_clearsky_filter(mocker):
+    ''' Unit tests for clearsky filter wrapper function.'''
+    measured_poa = pd.Series([1, 1, 0, 1.15, 0.85])
+    clearsky_poa = pd.Series([1, 2, 1, 1.00, 1.00])
+
+    # Check that a ValueError is thrown when a model is passed that
+    # is not in the acceptable list.
+    with pytest.raises(ValueError):
+        clearsky_filter(measured_poa,
+                        clearsky_poa,
+                        model='invalid')
+
+    # Check that the csi_filter function is called
+    mock_csi_filter = mocker.patch('rdtools.filtering.csi_filter')
+    clearsky_filter(measured_poa,
+                    clearsky_poa,
+                    model='csi')
+    mock_csi_filter.assert_called_once()
+
+    # Check that the pvlib_clearsky_filter function is called
+    mock_pvlib_filter = mocker.patch('rdtools.filtering.pvlib_clearsky_filter')
+    clearsky_filter(measured_poa,
+                    clearsky_poa,
+                    model='pvlib')
+    mock_pvlib_filter.assert_called_once()
 
 
 def test_csi_filter():
@@ -28,6 +63,27 @@ def test_csi_filter():
     assert filtered.tolist() == expected_result.tolist()
 
 
+@pytest.mark.parametrize("lookup_parameters", [True, False])
+def test_pvlib_clearsky_filter(lookup_parameters):
+    ''' Unit tests for pvlib clear sky filter.'''
+
+    index = pd.date_range(start='01/05/2024 15:00', periods=120, freq='min')
+    poa_global_clearsky = pd.Series(np.linspace(800, 919, 120), index=index)
+
+    # Add cloud event
+    poa_global_measured = poa_global_clearsky.copy()
+    poa_global_measured.iloc[60:70] = [500, 400, 300, 200, 100, 0, 100, 200, 300, 400]
+
+    filtered = pvlib_clearsky_filter(poa_global_measured,
+                                     poa_global_clearsky,
+                                     window_length=10,
+                                     lookup_parameters=lookup_parameters)
+
+    # Expect clearsky index is filtered.
+    expected_result = poa_global_measured > 500
+    pd.testing.assert_series_equal(filtered, expected_result)
+
+
 def test_poa_filter():
     ''' Unit tests for plane of array insolation filter.'''
 
@@ -58,8 +114,7 @@ def generate_power_time_series_no_clipping():
     power_no_datetime_index = pd.Series(np.arange(1, 101))
     power_datetime_index = pd.Series(np.arange(1, 101))
     # Add datetime index to second series
-    time_range = pd.date_range('2016-12-02T11:00:00.000Z',
-                               '2017-06-06T07:00:00.000Z', freq='H')
+    time_range = pd.date_range("2016-12-02T11:00:00.000Z", "2017-06-06T07:00:00.000Z", freq="h")
     power_datetime_index.index = pd.to_datetime(time_range[:100])
     # Create a series that is tz-naive to test on
     power_datetime_index_tz_naive = power_datetime_index.copy()
@@ -74,19 +129,22 @@ def generate_power_time_series_no_clipping():
 def generate_power_time_series_irregular_intervals():
     power_datetime_index = pd.Series(np.arange(1, 62))
     # Add datetime index to second series
-    time_range_1 = pd.date_range('2016-12-02T11:00:00.000Z',
-                                 '2017-06-06T07:00:00.000Z', freq='1T')
+    time_range_1 = pd.date_range(
+        "2016-12-02T11:00:00.000Z", "2017-06-06T07:00:00.000Z", freq="1min"
+    )
     power_datetime_index.index = pd.to_datetime(time_range_1[:61])
     power_datetime_index_2 = pd.Series(np.arange(100, 200))
-    time_range_2 = pd.date_range(power_datetime_index.index.max(),
-                                 '2017-06-06T07:00:00.000Z', freq='15T')
+    time_range_2 = pd.date_range(
+        power_datetime_index.index.max(), "2017-06-06T07:00:00.000Z", freq="15min"
+    )
     power_datetime_index_2.index = pd.to_datetime(time_range_2[:100])
     power_datetime_index_2 = power_datetime_index_2.iloc[1:]
     power_datetime_index = pd.concat([power_datetime_index,
                                       power_datetime_index_2])
     power_datetime_index_3 = pd.Series(list(reversed(np.arange(100, 200))))
-    time_range_3 = pd.date_range(power_datetime_index.index.max(),
-                                 '2017-06-06T07:00:00.000Z', freq='5T')
+    time_range_3 = pd.date_range(
+        power_datetime_index.index.max(), "2017-06-06T07:00:00.000Z", freq="5min"
+    )
     power_datetime_index_3.index = pd.to_datetime(time_range_3[:100])
     power_datetime_index_3 = power_datetime_index_3.iloc[1:]
     power_datetime_index = pd.concat([power_datetime_index,
@@ -102,8 +160,7 @@ def generate_power_time_series_one_min_intervals():
     power_datetime_index = pd.concat([power_datetime_index,
                                       power_datetime_index[::-1]])
     # Add datetime index to second series
-    time_range = pd.date_range('2016-12-02T11:00:00.000Z',
-                               '2017-06-06T07:00:00.000Z', freq='1T')
+    time_range = pd.date_range("2016-12-02T11:00:00.000Z", "2017-06-06T07:00:00.000Z", freq="1min")
     power_datetime_index.index = pd.to_datetime(time_range[:100])
     # Note: Power is expected to be Series object with a datetime index.
     return power_datetime_index
@@ -118,8 +175,7 @@ def generate_power_time_series_clipping():
     power_no_datetime_index = power_no_datetime_index.reset_index(drop=True)
     power_datetime_index = power_no_datetime_index.copy()
     # Add datetime index to second series
-    time_range = pd.date_range('2016-12-02T11:00:00.000Z',
-                               '2017-06-06T07:00:00.000Z', freq='H')
+    time_range = pd.date_range("2016-12-02T11:00:00.000Z", "2017-06-06T07:00:00.000Z", freq="h")
     power_datetime_index.index = pd.to_datetime(time_range[:100])
     # Note: Power is expected to be Series object with a datetime index.
     return power_no_datetime_index, power_datetime_index
@@ -145,29 +201,28 @@ def test_logic_clip_filter(generate_power_time_series_no_clipping,
         generate_power_time_series_no_clipping
     # Test that a Type Error is raised when a pandas series
     # without a datetime index is used.
-    pytest.raises(TypeError,  logic_clip_filter,
-                  power_no_datetime_index_nc)
+    with pytest.raises(TypeError):
+        logic_clip_filter(power_no_datetime_index_nc)
     # Test that an error is thrown when we don't include the correct
     # mounting configuration input
-    pytest.raises(ValueError,  logic_clip_filter,
-                  power_datetime_index_nc, 'not_fixed')
+    with pytest.raises(ValueError):
+        logic_clip_filter(power_datetime_index_nc, 'not_fixed')
     # Test that an error is thrown when there are 10 or fewer readings
     # in the time series
-    pytest.raises(Exception,  logic_clip_filter,
-                  power_datetime_index_nc[:9])
+    with pytest.raises(Exception):
+        logic_clip_filter(power_datetime_index_nc[:9])
     # Test that a warning is thrown when the time series is tz-naive
     warnings.simplefilter("always")
     with warnings.catch_warnings(record=True) as record:
         logic_clip_filter(power_nc_tz_naive)
         # Warning thrown for it being an experimental filter + tz-naive
-        assert_warnings(['The logic-based filter is an experimental',
-                         'Function expects timestamps in local time'],
+        assert_warnings(['Function expects timestamps in local time'],
                         record)
     # Scramble the index and run through the filter. This should throw
     # an IndexError.
     power_datetime_index_nc_shuffled = power_datetime_index_nc.sample(frac=1)
-    pytest.raises(IndexError,  logic_clip_filter,
-                  power_datetime_index_nc_shuffled, 'fixed')
+    with pytest.raises(IndexError):
+        logic_clip_filter(power_datetime_index_nc_shuffled, 'fixed')
     # Generate 1-minute interval data, run it through the function, and
     # check that the associated data returned is 1-minute
     power_datetime_index_one_min_intervals = \
@@ -183,8 +238,7 @@ def test_logic_clip_filter(generate_power_time_series_no_clipping,
         logic_clip_filter(power_datetime_index_irregular)
         # Warning thrown for it being an experimental filter + irregular
         # sampling frequency.
-        assert_warnings(['The logic-based filter is an experimental',
-                         'Variable sampling frequency across time series'],
+        assert_warnings(['Variable sampling frequency across time series'],
                         record)
 
     # Check that the returned time series index for the logic filter is
@@ -217,29 +271,28 @@ def test_xgboost_clip_filter(generate_power_time_series_no_clipping,
         generate_power_time_series_no_clipping
     # Test that a Type Error is raised when a pandas series
     # without a datetime index is used.
-    pytest.raises(TypeError,  xgboost_clip_filter,
-                  power_no_datetime_index_nc)
+    with pytest.raises(TypeError):
+        xgboost_clip_filter(power_no_datetime_index_nc)
     # Test that an error is thrown when we don't include the correct
     # mounting configuration input
-    pytest.raises(ValueError,  xgboost_clip_filter,
-                  power_datetime_index_nc, 'not_fixed')
+    with pytest.raises(ValueError):
+        xgboost_clip_filter(power_datetime_index_nc, 'not_fixed')
     # Test that an error is thrown when there are 10 or fewer readings
     # in the time series
-    pytest.raises(Exception,  xgboost_clip_filter,
-                  power_datetime_index_nc[:9])
+    with pytest.raises(Exception):
+        xgboost_clip_filter(power_datetime_index_nc[:9])
     # Test that a warning is thrown when the time series is tz-naive
     warnings.simplefilter("always")
     with warnings.catch_warnings(record=True) as record:
         xgboost_clip_filter(power_nc_tz_naive)
         # Warning thrown for it being an experimental filter + tz-naive
-        assert_warnings(['The XGBoost filter is an experimental',
-                         'Function expects timestamps in local time'],
+        assert_warnings(['Function expects timestamps in local time'],
                         record)
     # Scramble the index and run through the filter. This should throw
     # an IndexError.
     power_datetime_index_nc_shuffled = power_datetime_index_nc.sample(frac=1)
-    pytest.raises(IndexError,  xgboost_clip_filter,
-                  power_datetime_index_nc_shuffled, 'fixed')
+    with pytest.raises(IndexError):
+        xgboost_clip_filter(power_datetime_index_nc_shuffled, 'fixed')
     # Generate 1-minute interval data, run it through the function, and
     # check that the associated data returned is 1-minute
     power_datetime_index_one_min_intervals = \
@@ -268,50 +321,87 @@ def test_xgboost_clip_filter(generate_power_time_series_no_clipping,
                 .all(axis=None))
 
 
-def test_clip_filter(generate_power_time_series_no_clipping):
+def test_clip_filter(generate_power_time_series_clipping, mocker):
     ''' Unit tests for inverter clipping filter.'''
     # Create a time series to test
-    power_no_datetime_index_nc, power_datetime_index_nc, power_nc_tz_naive = \
-        generate_power_time_series_no_clipping
-    # Check that the master wrapper defaults to the
-    # quantile_clip_filter_function.
-    # Note: Power is expected to be Series object because clip_filter makes
-    #       use of the Series.quantile() method.
-    filtered_quantile = clip_filter(power_no_datetime_index_nc, quantile=0.98)
-    # Expect 99% of the 98th quantile to be filtered
-    expected_result_quantile = power_no_datetime_index_nc < (98 * 0.99)
-    # Check that the clip filter defaults to quantile clip filter when
-    # deprecated params are passed
-    warnings.simplefilter("always")
-    with warnings.catch_warnings(record=True) as record:
-        clip_filter(power_datetime_index_nc, 0.98)
-        assert_warnings(['Function clip_filter is now a wrapper'], record)
+    _, power = generate_power_time_series_clipping
+
+    # Check the default behavior
+    expected = logic_clip_filter(power)
+    mock_logic_clip_filter = mocker.patch('rdtools.filtering.logic_clip_filter',
+                                          return_value=expected)
+    filtered = clip_filter(power)
+    mock_logic_clip_filter.assert_called_once()
+    tm.assert_series_equal(filtered, expected)
+
+    # Check each of the models
+    expected_kwargs = {
+        'mounting_type': 'single_axis_tracking',
+        'rolling_range_max_cutoff': 0.3,
+        'roll_periods': 3
+    }
+    expected = logic_clip_filter(power, **expected_kwargs)
+    mock_logic_clip_filter = mocker.patch('rdtools.filtering.logic_clip_filter',
+                                          return_value=expected)
+    filtered = clip_filter(power, model='logic', **expected_kwargs)
+    mock_logic_clip_filter.assert_called_once()
+    call_args = mock_logic_clip_filter.call_args
+
+    # Deal with change in call_args after python 3.7
+    if isinstance(call_args, tuple):  # case for 3.7
+        actual_kwargs = call_args[1]
+    else:
+        actual_kwargs = call_args.kwargs
+
+    assert actual_kwargs == expected_kwargs
+    tm.assert_series_equal(filtered, expected)
+
+    expected_kwargs = {
+        'quantile': 0.95
+    }
+    expected = quantile_clip_filter(power, **expected_kwargs)
+    mock_quantile_clip_filter = mocker.patch('rdtools.filtering.quantile_clip_filter',
+                                             return_value=expected)
+    filtered = clip_filter(power, model='quantile', **expected_kwargs)
+    mock_quantile_clip_filter.assert_called_once()
+    call_args = mock_quantile_clip_filter.call_args
+    if isinstance(call_args, tuple):
+        actual_kwargs = call_args[1]
+    else:
+        actual_kwargs = call_args.kwargs
+
+    assert actual_kwargs == expected_kwargs
+    tm.assert_series_equal(filtered, expected)
+
+    expected_kwargs = {
+        'mounting_type': 'single_axis_tracking'
+    }
+    expected = xgboost_clip_filter(power, **expected_kwargs)
+    mock_xgboost_clip_filter = mocker.patch('rdtools.filtering.xgboost_clip_filter',
+                                            return_value=expected)
+    filtered = clip_filter(power, model='xgboost', **expected_kwargs)
+    mock_xgboost_clip_filter.assert_called_once()
+    call_args = mock_xgboost_clip_filter.call_args
+    if isinstance(call_args, tuple):
+        actual_kwargs = call_args[1]
+    else:
+        actual_kwargs = call_args.kwargs
+    assert actual_kwargs == expected_kwargs
+    tm.assert_series_equal(filtered, expected)
+
+    mocker.stopall()
 
     # Check that a ValueError is thrown when a model is passed that
     # is not in the acceptable list.
-    pytest.raises(ValueError, clip_filter,
-                  power_datetime_index_nc,
-                  'random_forest')
-    # Check that the wrapper handles the xgboost clipping
-    # function with kwargs.
-    filtered_xgboost = clip_filter(power_datetime_index_nc,
-                                   'xgboost',
-                                   mounting_type="fixed")
-    # Check that the wrapper handles the logic clipping
-    # function with kwargs.
-    filtered_logic = clip_filter(power_datetime_index_nc,
-                                 'logic',
-                                 mounting_type="fixed",
-                                 rolling_range_max_cutoff=0.3)
-    # Check that the function returns a Typr Error if a wrong keyword
+    with pytest.raises(ValueError):
+        clip_filter(power, 'random_forest')
+
+    # Check that the function returns a Type Error if a wrong keyword
     # arg is passed in the kwarg arguments.
-    pytest.raises(TypeError, clip_filter, power_datetime_index_nc,
-                  'xgboost',
-                  rolling_range_max_cutoff=0.3)
-    assert bool((expected_result_quantile == filtered_quantile)
-                .all(axis=None))
-    assert bool(filtered_xgboost.all(axis=None))
-    assert bool(filtered_logic.all(axis=None))
+    with pytest.raises(TypeError):
+        clip_filter(power,
+                    'xgboost',
+                    rolling_range_max_cutoff=0.3)
 
 
 def test_normalized_filter_default():
@@ -333,3 +423,101 @@ def test_normalized_filter_default():
     pd.testing.assert_series_equal(normalized_filter(
                         pd.Series([0.01 - eps, 0.01 + eps, 1e308])),
                         pd.Series([False, True, True]))
+
+
+def test_two_way_window_filter():
+    # Create a pandas Series with 10 entries and daily index
+    index = pd.date_range(start='1/1/2022', periods=10, freq='D')
+    series = pd.Series([1, 2, 3, 4, 20, 6, 7, 8, 9, 10], index=index)
+
+    # Call the function with the test data
+    result = two_way_window_filter(series)
+
+    # Check that the result is a pandas Series of the same length as the input
+    assert isinstance(result, pd.Series)
+    assert len(result) == len(series)
+
+    # Check that the result only contains boolean values
+    assert set(result.unique()).issubset({True, False})
+
+    # Check that the result is as expected
+    # Here we're checking that the outlier is marked as False
+    expected_result = pd.Series([True]*4 + [False]*2 + [True]*4, index=index)
+    pd.testing.assert_series_equal(result, expected_result)
+
+
+def test_insolation_filter():
+    # Create a pandas Series with 10 entries
+    series = pd.Series([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
+
+    # Call the function with the test data
+    result = insolation_filter(series)
+
+    # Check that the result is a pandas Series of the same length as the input
+    assert isinstance(result, pd.Series)
+    assert len(result) == len(series)
+
+    # Check that the result only contains boolean values
+    assert set(result.unique()).issubset({True, False})
+
+    # Check that the result is as expected
+    # Here we're checking that the bottom 10% of values are marked as False
+    expected_result = pd.Series([False] + [True]*9)
+    pd.testing.assert_series_equal(result, expected_result)
+
+
+def test_hampel_filter():
+    # Create a pandas Series with 10 entries and daily index
+    index = pd.date_range(start='1/1/2022', periods=10, freq='D')
+    series = pd.Series([1, 2, 3, 4, 100, 6, 7, 8, 9, 10], index=index)
+
+    # Call the function with the test data
+    result = hampel_filter(series)
+
+    # Check that the result is a pandas Series of the same length as the input
+    assert isinstance(result, pd.Series)
+    assert len(result) == len(series)
+
+    # Check that the result only contains boolean values
+    assert set(result.unique()).issubset({True, False})
+
+    # Check that the result is as expected
+    expected_result = pd.Series([True]*3 + [True] + [False] + [True]*5, index=index)
+    pd.testing.assert_series_equal(result, expected_result)
+
+
+def test_directional_tukey_filter():
+    # Create a pandas Series with 10 entries and daily index
+    index = pd.date_range(start='1/1/2022', periods=7, freq='D')
+    series = pd.Series([1, 2, 3, 25, 4, 5, 6], index=index)
+
+    # Call the function with the test data
+    result = directional_tukey_filter(series)
+
+    # Check that the result is a pandas Series of the same length as the input
+    assert isinstance(result, pd.Series)
+    assert len(result) == len(series)
+
+    # Check that the result is as expected
+    expected_result = pd.Series([True, True, True, False, True, True, True], index=index)
+    pd.testing.assert_series_equal(result, expected_result)
+
+
+def test_hour_angle_filter():
+    # Create a pandas Series with 5 entries and 15 min index
+    index = pd.date_range(start="29/04/2022 15:00", periods=5, freq="h", tz="UTC")
+    series = pd.Series([1, 2, 3, 4, 5], index=index)
+
+    # Define latitude and longitude
+    lat, lon = 39.7413, -105.1684  # NREL, Golden, CO
+
+    # Call the function with the test data
+    result = hour_angle_filter(series, lat, lon)
+
+    # Check that the result is a pandas Series of the same length as the input
+    assert isinstance(result, pd.Series)
+    assert len(result) == len(series)
+
+    # Check that the result is the correct boolean Series
+    expected_result = pd.Series([False, False, True, True, True], index=index)
+    pd.testing.assert_series_equal(result, expected_result, check_names=False)
diff --git a/rdtools/test/interpolate_test.py b/rdtools/test/interpolate_test.py
index 40bac08bc..7ba1a0a9a 100644
--- a/rdtools/test/interpolate_test.py
+++ b/rdtools/test/interpolate_test.py
@@ -7,20 +7,22 @@
 
 @pytest.fixture
 def time_series():
-    times = pd.date_range('2018-04-01 12:00', '2018-04-01 13:15', freq='15T')
-    time_series = pd.Series(data=[9, 6, 3, 3, 6, 9], index=times, name='foo')
+    times = pd.date_range("2018-04-01 12:00", "2018-04-01 13:15", freq="15min")
+    time_series = pd.Series(data=[9, 6, 3, 3, 6, 9], index=times, name="foo")
     time_series = time_series.drop(times[4])
     return time_series
 
 
 @pytest.fixture
 def target_index(time_series):
-    return pd.date_range(time_series.index.min(), time_series.index.max(), freq='20T')
+    return pd.date_range(time_series.index.min(), time_series.index.max(), freq="20min")
 
 
 @pytest.fixture
 def expected_series(target_index, time_series):
-    return pd.Series(data=[9.0, 5.0, 3.0, np.nan], index=target_index, name=time_series.name)
+    return pd.Series(
+        data=[9.0, 5.0, 3.0, np.nan], index=target_index, name=time_series.name
+    )
 
 
 @pytest.fixture
@@ -28,8 +30,8 @@ def test_df(time_series):
     time_series1 = time_series.copy()
     time_series2 = time_series.copy()
 
-    time_series2.index = time_series2.index + pd.to_timedelta('30 minutes')
-    time_series2.name = 'bar'
+    time_series2.index = time_series2.index + pd.to_timedelta("30 minutes")
+    time_series2.name = "bar"
 
     test_df = pd.concat([time_series1, time_series2], axis=1)
 
@@ -38,17 +40,17 @@ def test_df(time_series):
 
 @pytest.fixture
 def df_target_index(target_index):
-    return target_index + pd.to_timedelta('15 minutes')
+    return target_index + pd.to_timedelta("15 minutes")
 
 
 @pytest.fixture
 def df_expected_result(df_target_index, test_df):
     col0 = test_df.columns[0]
     col1 = test_df.columns[1]
-    expected_df_result = pd.DataFrame({
-        col0: [6.0, 3.0, np.nan, 9.0],
-        col1: [np.nan, 8.0, 4.0, 3.0]
-    }, index=df_target_index)
+    expected_df_result = pd.DataFrame(
+        {col0: [6.0, 3.0, np.nan, 9.0], col1: [np.nan, 8.0, 4.0, 3.0]},
+        index=df_target_index,
+    )
 
     expected_df_result = expected_df_result[test_df.columns]
     return expected_df_result
@@ -56,20 +58,29 @@ def df_expected_result(df_target_index, test_df):
 
 def test_interpolate_freq_specification(time_series, target_index, expected_series):
     # test the string specification
-    interpolated = interpolate(time_series, target_index.freq.freqstr,
-                               pd.to_timedelta('15 minutes'), warning_threshold=0.21)
+    interpolated = interpolate(
+        time_series,
+        target_index.freq.freqstr,
+        pd.to_timedelta("15 minutes"),
+        warning_threshold=0.21,
+    )
     pd.testing.assert_series_equal(interpolated, expected_series)
 
     # test the DateOffset specification
-    interpolated = interpolate(time_series, target_index.freq, pd.to_timedelta('15 minutes'),
-                               warning_threshold=0.21)
+    interpolated = interpolate(
+        time_series,
+        target_index.freq,
+        pd.to_timedelta("15 minutes"),
+        warning_threshold=0.21,
+    )
     pd.testing.assert_series_equal(interpolated, expected_series)
 
 
 def test_interpolate_calculation(time_series, target_index, expected_series):
 
-    interpolated = interpolate(time_series, target_index, pd.to_timedelta('15 minutes'),
-                               warning_threshold=0.21)
+    interpolated = interpolate(
+        time_series, target_index, pd.to_timedelta("15 minutes"), warning_threshold=0.21
+    )
     pd.testing.assert_series_equal(interpolated, expected_series)
 
 
@@ -82,25 +93,28 @@ def test_interpolate_two_argument(time_series, target_index, expected_series):
 
 def test_interpolate_tz_validation(time_series, target_index, expected_series):
     with pytest.raises(ValueError):
-        interpolate(time_series, target_index.tz_localize('UTC'), pd.to_timedelta('15 minutes'))
+        interpolate(
+            time_series, target_index.tz_localize("UTC"), pd.to_timedelta("15 minutes")
+        )
 
     time_series = time_series.copy()
-    time_series.index = time_series.index.tz_localize('UTC')
+    time_series.index = time_series.index.tz_localize("UTC")
 
     with pytest.raises(ValueError):
-        interpolate(time_series, target_index, pd.to_timedelta('15 minutes'))
+        interpolate(time_series, target_index, pd.to_timedelta("15 minutes"))
 
 
 def test_interpolate_same_tz(time_series, target_index, expected_series):
     time_series = time_series.copy()
     expected_series = expected_series.copy()
 
-    time_series.index = time_series.index.tz_localize('America/Denver')
-    target_index = target_index.tz_localize('America/Denver')
-    expected_series.index = expected_series.index.tz_localize('America/Denver')
+    time_series.index = time_series.index.tz_localize("America/Denver")
+    target_index = target_index.tz_localize("America/Denver")
+    expected_series.index = expected_series.index.tz_localize("America/Denver")
 
-    interpolated = interpolate(time_series, target_index, pd.to_timedelta('15 minutes'),
-                               warning_threshold=0.21)
+    interpolated = interpolate(
+        time_series, target_index, pd.to_timedelta("15 minutes"), warning_threshold=0.21
+    )
     pd.testing.assert_series_equal(interpolated, expected_series)
 
 
@@ -108,18 +122,22 @@ def test_interpolate_different_tz(time_series, target_index, expected_series):
     time_series = time_series.copy()
     expected_series = expected_series.copy()
 
-    time_series.index = time_series.index.tz_localize('America/Denver').tz_convert('UTC')
-    target_index = target_index.tz_localize('America/Denver')
-    expected_series.index = expected_series.index.tz_localize('America/Denver')
+    time_series.index = time_series.index.tz_localize("America/Denver").tz_convert(
+        "UTC"
+    )
+    target_index = target_index.tz_localize("America/Denver")
+    expected_series.index = expected_series.index.tz_localize("America/Denver")
 
-    interpolated = interpolate(time_series, target_index, pd.to_timedelta('15 minutes'),
-                               warning_threshold=0.21)
+    interpolated = interpolate(
+        time_series, target_index, pd.to_timedelta("15 minutes"), warning_threshold=0.21
+    )
     pd.testing.assert_series_equal(interpolated, expected_series)
 
 
 def test_interpolate_dataframe(test_df, df_target_index, df_expected_result):
-    interpolated = interpolate(test_df, df_target_index, pd.to_timedelta('15 minutes'),
-                               warning_threshold=0.21)
+    interpolated = interpolate(
+        test_df, df_target_index, pd.to_timedelta("15 minutes"), warning_threshold=0.21
+    )
     pd.testing.assert_frame_equal(interpolated, df_expected_result)
 
 
@@ -127,15 +145,23 @@ def test_interpolate_warning(test_df, df_target_index, df_expected_result):
     N = len(test_df)
     all_idx = list(range(N))
     # drop every other value in the first third of the dataset
-    index_with_gaps = all_idx[:N//3][::2] + all_idx[N//3:]
+    index_with_gaps = all_idx[: N // 3][::2] + all_idx[N // 3:]
     test_df = test_df.iloc[index_with_gaps, :]
     with pytest.warns(UserWarning):
-        interpolate(test_df, df_target_index, pd.to_timedelta('15 minutes'),
-                    warning_threshold=0.1)
+        interpolate(
+            test_df,
+            df_target_index,
+            pd.to_timedelta("15 minutes"),
+            warning_threshold=0.1,
+        )
 
     with warnings.catch_warnings():
         warnings.simplefilter("error")
-        interpolate(test_df, df_target_index, pd.to_timedelta('15 minutes'),
-                    warning_threshold=0.5)
-        warnings.filterwarnings("error", message='Fraction of excluded data')
+        interpolate(
+            test_df,
+            df_target_index,
+            pd.to_timedelta("15 minutes"),
+            warning_threshold=0.5,
+        )
+        warnings.filterwarnings("error", message="Fraction of excluded data")
         # if this test fails, it means a warning was raised that was not expected
diff --git a/rdtools/test/irradiance_rescale_test.py b/rdtools/test/irradiance_rescale_test.py
index b065dde86..b235279b2 100644
--- a/rdtools/test/irradiance_rescale_test.py
+++ b/rdtools/test/irradiance_rescale_test.py
@@ -7,19 +7,24 @@
 
 @pytest.fixture
 def simple_irradiance():
-    times = pd.date_range('2019-06-01 12:00', freq='15T', periods=5)
+    times = pd.date_range("2019-06-01 12:00", freq="15min", periods=5)
     time_series = pd.Series([1, 2, 3, 4, 5], index=times, dtype=float)
     return time_series
 
 
-@pytest.mark.parametrize("method", ['iterative', 'single_opt'])
+@pytest.mark.parametrize("method", ["iterative", "single_opt", "error"])
 def test_rescale(method, simple_irradiance):
     # test basic functionality
-    modeled = simple_irradiance
-    measured = 1.05 * simple_irradiance
-    rescaled = irradiance_rescale(measured, modeled, method=method)
-    expected = measured
-    assert_series_equal(rescaled, expected, check_exact=False)
+    if method == "error":
+        with pytest.raises(ValueError):
+            irradiance_rescale(simple_irradiance, simple_irradiance * 1.05, method=method)
+
+    else:
+        modeled = simple_irradiance
+        measured = 1.05 * simple_irradiance
+        rescaled = irradiance_rescale(measured, modeled, method=method)
+        expected = measured
+        assert_series_equal(rescaled, expected, check_exact=False)
 
 
 def test_max_iterations(simple_irradiance):
@@ -31,11 +36,9 @@ def test_max_iterations(simple_irradiance):
     modeled.iloc[4] *= 0.8
 
     with pytest.raises(ConvergenceError):
-        _ = irradiance_rescale(measured, modeled, method='iterative',
-                               max_iterations=2)
+        _ = irradiance_rescale(measured, modeled, method="iterative", max_iterations=2)
 
-    _ = irradiance_rescale(measured, modeled, method='iterative',
-                           max_iterations=10)
+    _ = irradiance_rescale(measured, modeled, method="iterative", max_iterations=10)
 
 
 def test_max_iterations_zero(simple_irradiance):
@@ -43,26 +46,32 @@ def test_max_iterations_zero(simple_irradiance):
 
     # test series already close enough
     true_factor = 1.0 + 1e-8
-    rescaled = irradiance_rescale(simple_irradiance,
-                                  simple_irradiance * true_factor,
-                                  max_iterations=0,
-                                  method='iterative')
+    rescaled = irradiance_rescale(
+        simple_irradiance,
+        simple_irradiance * true_factor,
+        max_iterations=0,
+        method="iterative",
+    )
     assert_series_equal(rescaled, simple_irradiance, check_exact=False)
 
     # tighten threshold so that it isn't already close enough
     with pytest.raises(ConvergenceError):
-        _ = irradiance_rescale(simple_irradiance,
-                               simple_irradiance * true_factor,
-                               max_iterations=0,
-                               convergence_threshold=1e-9,
-                               method='iterative')
+        _ = irradiance_rescale(
+            simple_irradiance,
+            simple_irradiance * true_factor,
+            max_iterations=0,
+            convergence_threshold=1e-9,
+            method="iterative",
+        )
 
 
 def test_convergence_threshold(simple_irradiance):
     # can't converge if threshold is negative
     with pytest.raises(ConvergenceError):
-        _ = irradiance_rescale(simple_irradiance,
-                               simple_irradiance * 1.05,
-                               max_iterations=5,  # reduced count for speed
-                               convergence_threshold=-1,
-                               method='iterative')
+        _ = irradiance_rescale(
+            simple_irradiance,
+            simple_irradiance * 1.05,
+            max_iterations=5,  # reduced count for speed
+            convergence_threshold=-1,
+            method="iterative",
+        )
diff --git a/rdtools/test/normalization_sapm_test.py b/rdtools/test/normalization_sapm_test.py
deleted file mode 100644
index 12f9fb82b..000000000
--- a/rdtools/test/normalization_sapm_test.py
+++ /dev/null
@@ -1,125 +0,0 @@
-""" Energy Normalization with SAPM Unit Tests. """
-
-import unittest
-import pytest
-
-import pandas as pd
-import numpy as np
-import pvlib
-
-from rdtools.normalization import normalize_with_sapm
-from rdtools.normalization import sapm_dc_power
-
-from conftest import fail_on_rdtools_version, requires_pvlib_below_090
-from rdtools._deprecation import rdtoolsDeprecationWarning
-
-
-@requires_pvlib_below_090
-class SapmNormalizationTestCase(unittest.TestCase):
-    ''' Unit tests for energy normalization module. '''
-
-    def setUp(self):
-        # define module constants and parameters
-        module = {}
-        module['A0'] = 0.0315
-        module['A1'] = 0.05975
-        module['A2'] = -0.01067
-        module['A3'] = 0.0008
-        module['A4'] = -2.24e-5
-        module['B0'] = 1
-        module['B1'] = -0.002438
-        module['B2'] = 0.00031
-        module['B3'] = -1.246e-5
-        module['B4'] = 2.11e-7
-        module['B5'] = -1.36e-9
-        module['FD'] = 1
-        module_parameters = {
-            'pdc0': 2.1,
-            'gamma_pdc': -0.0045
-        }
-
-        # define location
-        test_location = pvlib.location\
-            .Location(latitude=37.88447702, longitude=-122.2652549)
-
-        self.pvsystem = pvlib.pvsystem\
-            .LocalizedPVSystem(location=test_location,
-                               surface_tilt=20,
-                               surface_azimuth=180,
-                               module=module,
-                               module_parameters=module_parameters,
-                               racking_model='insulated_back',
-                               module_type='glass_polymer',
-                               modules_per_string=6)
-
-        # define dummy energy data
-        energy_freq = 'MS'
-        energy_periods = 12
-        energy_index = pd.date_range(start='2012-01-01',
-                                     periods=energy_periods,
-                                     freq=energy_freq)
-
-        dummy_energy = np.repeat(a=100, repeats=energy_periods)
-        self.energy = pd.Series(dummy_energy, index=energy_index)
-        self.energy_periods = 12
-
-        # define dummy meteorological data
-        irrad_columns = ['DNI', 'GHI', 'DHI', 'Temperature', 'Wind Speed']
-        irrad_freq = 'D'
-        irrad_index = pd.date_range(start=energy_index[0],
-                                    end=energy_index[-1] - pd.to_timedelta('1 nanosecond'),
-                                    freq=irrad_freq)
-        self.irrad = pd.DataFrame([[100, 45, 30, 25, 10]],
-                                  index=irrad_index,
-                                  columns=irrad_columns)
-
-        # define an irregular pandas series
-        times = pd.DatetimeIndex(['2012-01-01 12:00', '2012-01-01 12:05', '2012-01-01 12:06',
-                                  '2012-01-01 12:09'])
-        data = [1, 2, 3, 4]
-        self.irregular_timeseries = pd.Series(data=data, index=times)
-
-    def tearDown(self):
-        pass
-
-    @fail_on_rdtools_version('3.0.0')
-    def test_sapm_dc_power(self):
-        ''' Test SAPM DC power. '''
-
-        with pytest.warns(rdtoolsDeprecationWarning):
-            dc_power, poa = sapm_dc_power(self.pvsystem, self.irrad)
-        self.assertEqual(self.irrad.index.freq, dc_power.index.freq)
-        self.assertEqual(len(self.irrad), len(dc_power))
-
-    @fail_on_rdtools_version('3.0.0')
-    def test_normalization_with_sapm(self):
-        ''' Test SAPM normalization. '''
-
-        sapm_kws = {
-            'pvlib_pvsystem': self.pvsystem,
-            'met_data': self.irrad,
-        }
-
-        with pytest.warns(rdtoolsDeprecationWarning):
-            corr_energy, insol = normalize_with_sapm(self.energy, sapm_kws)
-
-        # Test output is same frequency and length as energy
-        self.assertEqual(corr_energy.index.freq, self.energy.index.freq)
-        # Expected behavior is to have a nan at energy.index[0]
-        self.assertEqual(len(corr_energy.dropna()), len(self.energy)-1)
-
-        # Test for valueError when energy frequency can't be inferred
-        with self.assertRaises(ValueError):
-            with pytest.warns(rdtoolsDeprecationWarning):
-                corr_energy, insolation = normalize_with_sapm(self.irregular_timeseries, sapm_kws)
-
-        # TODO, test for:
-        #     incorrect data format
-        #     incomplete data
-        #     missing pvsystem metadata
-        #     missing measured irradiance data
-        #     met_data freq > energy freq, issue/warining?
-
-
-if __name__ == '__main__':
-    unittest.main()
diff --git a/rdtools/test/normalize_with_expected_power_test.py b/rdtools/test/normalize_with_expected_power_test.py
index 746e062d3..6e3b435bd 100644
--- a/rdtools/test/normalize_with_expected_power_test.py
+++ b/rdtools/test/normalize_with_expected_power_test.py
@@ -5,12 +5,12 @@
 
 @pytest.fixture()
 def times_15():
-    return pd.date_range(start='20200101 12:00', end='20200101 13:00', freq='15T')
+    return pd.date_range(start="20200101 12:00", end="20200101 13:00", freq="15min")
 
 
 @pytest.fixture()
 def times_30():
-    return pd.date_range(start='20200101 12:00', end='20200101 13:00', freq='30T')
+    return pd.date_range(start="20200101 12:00", end="20200101 13:00", freq="30min")
 
 
 @pytest.fixture()
diff --git a/rdtools/test/plotting_test.py b/rdtools/test/plotting_test.py
index f6b5ca4c1..cb4639cb2 100644
--- a/rdtools/test/plotting_test.py
+++ b/rdtools/test/plotting_test.py
@@ -9,11 +9,14 @@
     soiling_interval_plot,
     soiling_rate_histogram,
     tune_filter_plot,
-    availability_summary_plots
+    availability_summary_plots,
+    degradation_timeseries_plot
 )
 import matplotlib.pyplot as plt
+import matplotlib
 import plotly
 import pytest
+import re
 
 from conftest import assert_isinstance
 
@@ -81,6 +84,12 @@ def test_degradation_summary_plots_kwargs(degradation_info):
     result = degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, power,
                                        **kwargs)
     assert_isinstance(result, plt.Figure)
+
+    # ensure the number of points is included when detailed=True
+    ax = result.axes[1]
+    labels = [c for c in ax.get_children() if isinstance(c, matplotlib.text.Annotation)]
+    text = labels[0].get_text()
+    assert re.search(r'n = \d', text)
     plt.close('all')
 
 
@@ -173,8 +182,7 @@ def test_soiling_rate_histogram_kwargs(soiling_info):
 def clipping_power_degradation_signal():
     clipping_power_series = pd.Series(np.arange(1, 101))
     # Add datetime index to second series
-    time_range = pd.date_range('2016-12-02T11:00:00.000Z',
-                               '2017-06-06T07:00:00.000Z', freq='H')
+    time_range = pd.date_range("2016-12-02T11:00:00.000Z", "2017-06-06T07:00:00.000Z", freq="h")
     clipping_power_series.index = pd.to_datetime(time_range[:100])
     return clipping_power_series
 
@@ -239,3 +247,12 @@ def test_availability_summary_plots_empty(availability_analysis_object):
         empty)
     assert_isinstance(result, plt.Figure)
     plt.close('all')
+
+
+def test_degradation_timeseries_plot(degradation_info):
+    power, yoy_rd, yoy_ci, yoy_info = degradation_info
+
+    # test defaults
+    result = degradation_timeseries_plot(yoy_info)
+    assert_isinstance(result, plt.Figure)
+    plt.close('all')
diff --git a/rdtools/test/soiling_cods_test.py b/rdtools/test/soiling_cods_test.py
new file mode 100644
index 000000000..62046fd83
--- /dev/null
+++ b/rdtools/test/soiling_cods_test.py
@@ -0,0 +1,165 @@
+'''Test methods for the CODS-method to soiling analysis'''
+import pandas as pd
+import numpy as np
+import rdtools.soiling as soiling
+import pytest
+# from rdtools.test.conftest import cods_normalized_daily
+
+
+def test_iterative_signal_decomposition(cods_normalized_daily):
+    ''' Test iterative_signal_decomposition with fixed test case '''
+    np.random.seed(1977)
+    cods = soiling.CODSAnalysis(cods_normalized_daily)
+    df_out, results_dict = \
+        cods.iterative_signal_decomposition()
+    assert 0.080641 == pytest.approx(results_dict['degradation'], abs=1e-6), \
+        'Degradation rate different from expected value'
+    assert 3.305136 == pytest.approx(results_dict['soiling_loss'], abs=1e-6), \
+        'Soiling loss different from expected value'
+    assert 0.999359 == pytest.approx(results_dict['residual_shift'], abs=1e-6), \
+        'Residual shift different from expected value'
+    assert 0.008144 == pytest.approx(results_dict['RMSE'], abs=1e-6), \
+        'RMSE different from expected value'
+    assert not results_dict['small_soiling_signal'], \
+        'Small soiling signal assertion different from expected value'
+    assert 7.019626e-11 == pytest.approx(results_dict['adf_res'][1], abs=1e-6), \
+        'p-value of Augmented Dickey-Fuller test different from expected value'
+
+    # Check result dataframe
+    expected_columns = \
+        ['soiling_ratio', 'soiling_rates', 'cleaning_events',
+         'seasonal_component', 'degradation_trend', 'total_model', 'residuals']
+    actual_columns = df_out.columns.values
+    for x in actual_columns:
+        assert x in expected_columns, \
+            "'{}' not an expected column in result_df]".format(x)
+    for x in expected_columns:
+        assert x in actual_columns, \
+            "'{}' was expected as a column, but not in result_df".format(x)
+    assert isinstance(df_out, pd.DataFrame), 'result_df not a dataframe'
+    expected_means = pd.Series({'soiling_ratio': 0.9669486267086722,
+                                'soiling_rates': -0.0024630658969236213,
+                                'cleaning_events': 0.04644808743169399,
+                                'seasonal_component': 1.0001490302365126,
+                                'degradation_trend': 1.0008062064560372,
+                                'total_model': 0.9672468949656685,
+                                'residuals': 0.9993594568230086})
+    expected_means = expected_means[
+        ['soiling_ratio', 'soiling_rates', 'cleaning_events',
+         'seasonal_component', 'degradation_trend', 'total_model', 'residuals']]
+    pd.testing.assert_series_equal(expected_means, df_out.mean(),
+                                   check_exact=False, rtol=1e-3)
+
+
+def test_iterative_signal_decomposition_with_nan_interval(cods_normalized_daily):
+    ''' Test the CODS algorithm with fixed test case with a NaN period'''
+    normalized_corrupt = cods_normalized_daily.copy()
+    normalized_corrupt[26:50] = np.nan
+    np.random.seed(1977)
+    cods = soiling.CODSAnalysis(normalized_corrupt)
+    df_out, results_dict = \
+        cods.iterative_signal_decomposition()
+    assert -0.004968 == pytest.approx(results_dict['degradation'], abs=1e-5), \
+        'Degradation rate different from expected value'
+    assert 3.232171 == pytest.approx(results_dict['soiling_loss'], abs=1e-5), \
+        'Soiling loss different from expected value'
+    assert 1.000108 == pytest.approx(results_dict['residual_shift'], abs=1e-5), \
+        'Residual shift different from expected value'
+    assert 0.008184 == pytest.approx(results_dict['RMSE'], abs=1e-5), \
+        'RMSE different from expected value'
+    assert not results_dict['small_soiling_signal'], \
+        'Small soiling signal assertion different from expected value'
+    assert 1.230754e-8 == pytest.approx(results_dict['adf_res'][1], abs=1e-6), \
+        'p-value of Augmented Dickey-Fuller test different from expected value'
+
+    # Check result dataframe
+    assert isinstance(df_out, pd.DataFrame), 'result_df not a dataframe'
+    expected_means = pd.Series({'soiling_ratio': 0.967678,
+                                'soiling_rates': -0.002366,
+                                'cleaning_events': 0.045082,
+                                'seasonal_component': 1.000192,
+                                'degradation_trend': 0.999950,
+                                'total_model': 0.967915,
+                                'residuals': 1.000108})
+    expected_means = expected_means[
+        ['soiling_ratio', 'soiling_rates', 'cleaning_events',
+         'seasonal_component', 'degradation_trend', 'total_model', 'residuals']]
+    pd.testing.assert_series_equal(expected_means, df_out.mean(),
+                                   check_exact=False, rtol=1e-3)
+
+
+def test_soiling_cods(cods_normalized_daily):
+    ''' Test the CODS algorithm with fixed test case and 16 repetitions'''
+    reps = 16
+    np.random.seed(1977)
+    sr, sr_ci, deg, deg_ci, result_df = soiling.soiling_cods(cods_normalized_daily,
+                                                             reps=reps,
+                                                             verbose=True)
+    assert 0.962207 == pytest.approx(sr, abs=0.5), \
+        'Soiling ratio different from expected value'
+    assert np.array([0.96662419, 0.95692131]) == pytest.approx(sr_ci, abs=0.5), \
+        'Confidence interval of SR different from expected value'
+    assert 0.09 == pytest.approx(deg, abs=0.5), \
+        'Degradation rate different from expected value'
+    assert np.array([-0.17143952,  0.39313724]) == pytest.approx(deg_ci, abs=0.5), \
+        'Confidence interval of degradation rate different from expected value'
+
+    # Check result dataframe
+    expected_summary_columns = \
+        ['soiling_ratio', 'soiling_rates', 'cleaning_events',
+         'seasonal_component', 'degradation_trend', 'total_model', 'residuals',
+         'SR_low', 'SR_high', 'rates_low', 'rates_high', 'bt_soiling_ratio',
+         'bt_soiling_rates', 'seasonal_low', 'seasonal_high', 'model_low',
+         'model_high']
+    actual_summary_columns = result_df.columns.values
+    for x in actual_summary_columns:
+        assert x in expected_summary_columns, \
+            "'{}' not an expected column in result_df]".format(x)
+    for x in expected_summary_columns:
+        assert x in actual_summary_columns, \
+            "'{}' was expected as a column, but not in result_df".format(x)
+
+
+def test_soiling_cods_small_signal(cods_normalized_daily_small_soiling):
+    ''' Test the CODS algorithm with small soiling signal'''
+    reps = 16
+    np.random.seed(1977)
+    warn_small_signal = (
+                'Soiling signal is small relative to the noise. '
+                'Iterative decomposition not possible. '
+                'Degradation found by RdTools YoY.')
+
+    with pytest.warns(UserWarning, match=warn_small_signal):
+        soiling.soiling_cods(cods_normalized_daily_small_soiling, reps=reps)
+
+
+def test_Kalman_filter_for_SR(cods_normalized_daily):
+    '''Test the Kalman Filter method in CODS'''
+    cods = soiling.CODSAnalysis(cods_normalized_daily)
+    dfk, Ps = cods._Kalman_filter_for_SR(cods_normalized_daily)
+
+    # Check if results are okay
+    assert dfk.isna().sum().sum() == 0, "NaNs were found in Kalman Filter results"
+    assert (dfk.index == cods_normalized_daily.index).all(), \
+        "Index returned from Kalman Filter is not as expected"
+    expected_columns = ['raw_pi', 'raw_rates', 'smooth_pi', 'smooth_rates', 'soiling_ratio',
+                        'soiling_rates', 'cleaning_events', 'days_since_ce']
+    actual_columns = dfk.columns.values
+    for x in actual_columns:
+        assert x in expected_columns, \
+            "'{}' not an expected column in Kalman Filter results]".format(x)
+    for x in expected_columns:
+        assert x in actual_columns, \
+            "'{}' was expected as a column, but not in Kalman Filter results".format(x)
+    assert Ps.shape == (732, 2, 2), "Shape of array of covariance matrices (Ps) not as expected"
+
+
+def test_make_seasonal_samples(cods_normalized_daily):
+    '''Test the make seasonal samples method.'''
+    sample_nr = 10
+    seasonal_dummy = cods_normalized_daily.iloc[100:]
+    samples = soiling._make_seasonal_samples([seasonal_dummy, ], sample_nr)
+    assert samples.index.equals(seasonal_dummy.index), \
+        "The seasonal samples dataframe has an unexpected index"
+    assert samples.shape[1] == sample_nr, \
+        "The seasonal samples dataframe has an unexpected number of columns"
diff --git a/rdtools/test/utilities_test.py b/rdtools/test/utilities_test.py
new file mode 100644
index 000000000..b20e72556
--- /dev/null
+++ b/rdtools/test/utilities_test.py
@@ -0,0 +1,43 @@
+import pandas as pd
+import numpy as np
+import pytest
+from rdtools.utilities import robust_quantile, robust_median, robust_mean
+
+
+@pytest.fixture
+def data():
+    data_zeros = pd.Series([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
+    data_nan = pd.Series([np.nan, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
+    return data_zeros, data_nan
+
+
+def test_robust_quantile(data):
+    data_zeros, data_nan = data
+    quantile = 0.5
+    expected_result = 5.5
+    assert expected_result == robust_quantile(data_zeros, quantile)
+    assert expected_result == robust_quantile(data_nan, quantile)
+
+    quantile = 0.25
+    expected_result = 3.25
+    assert expected_result == robust_quantile(data_zeros, quantile)
+    assert expected_result == robust_quantile(data_nan, quantile)
+
+    quantile = 0.75
+    expected_result = 7.75
+    assert expected_result == robust_quantile(data_zeros, quantile)
+    assert expected_result == robust_quantile(data_nan, quantile)
+
+
+def test_robust_median(data):
+    data_zeros, data_nan = data
+    expected_result = 5.5
+    assert expected_result == robust_median(data_zeros)
+    assert expected_result == robust_median(data_nan)
+
+
+def test_robust_mean(data):
+    data_zeros, data_nan = data
+    expected_result = 5.5
+    assert expected_result == robust_mean(data_zeros)
+    assert expected_result == robust_mean(data_nan)
diff --git a/rdtools/utilities.py b/rdtools/utilities.py
new file mode 100644
index 000000000..c72e41748
--- /dev/null
+++ b/rdtools/utilities.py
@@ -0,0 +1,79 @@
+"""Utility functions for rdtools."""
+
+
+def robust_quantile(x, q):
+    """
+    Compute the q-th quantile of a time series (x), ignoring small values and NaN's.
+    NaN's and small values [x < Q(x,q)/1000] are removed before calculating the quantile.
+    This function ensures that time series with NaN's and distributions without
+    NaN's return the same results. Should only be used if x is expected to be ≥0.
+
+    Parameters
+    ----------
+    x : pandas.Series
+        Input time series.
+    q : float
+        Probability value.
+
+    Returns
+    -------
+    quantile : float
+        The q-th quantile of x, ignoring small values and NaN's.
+    """
+
+    small = x.astype(float).fillna(0).quantile(q) / 1000
+    q = x[x > small].quantile(q)
+
+    return q
+
+
+def robust_median(x, q=0.99):
+    """
+    Compute the median of a time series (x), ignoring small values and NaN's.
+    NaN's and small values [Q(x,q)/1000] are removed before calculating the mean.
+    This function ensures that time series with NaN's and distributions without
+    NaN's return the same results.  Should only be used if x is expected to be ≥0.
+
+    Parameters
+    ----------
+    x : pandas.Series
+        Input time series.
+    q : float, default 0.99
+        Probability value to use for the small values threshold calculation [Q(x,q)/1000].
+
+    Returns
+    -------
+    quantile : float
+        The q-th quantile of x, ignoring small values and NaN's.
+    """
+
+    small = x.astype(float).fillna(0).quantile(q) / 1000
+    mdn = x[x > small].median()
+
+    return mdn
+
+
+def robust_mean(x, q=0.99):
+    """
+    Compute the mean of a time series (x), ignoring small values and NaN's.
+    NaN's and small values [x < Q(x,q)/1000] are removed before calculating the mean.
+    This function ensures that time series with NaN's and distributions without
+    NaN's return the same results.  Should only be used if x is expected to be ≥0.
+
+    Parameters
+    ----------
+    x : pandas.Series
+        Input time series.
+    q : float, default 0.99
+        Probability value to use for the small values threshold calculation.
+
+    Returns
+    -------
+    quantile : float
+        The q-th quantile of x, ignoring small values and NaN's.
+    """
+
+    small = x.astype(float).fillna(0).quantile(q) / 1000
+    m = x[x > small].mean()
+
+    return m
diff --git a/requirements-min.txt b/requirements-min.txt
index 86fd14bcf..d952018ea 100644
--- a/requirements-min.txt
+++ b/requirements-min.txt
@@ -1,12 +1,12 @@
-h5py==2.8.0
-matplotlib==3.0.0
-numpy==1.17.3
-pandas==1.3.0
-pvlib==0.7.0
-scipy==1.2.0
-statsmodels==0.11.0
-tables==3.5.1
-numexpr==2.7.1  # https://github.com/pydata/numexpr/issues/369
+matplotlib==3.5.3
+numpy==1.22.4
+pandas==1.4.4
+statsmodels==0.13.5
+scipy==1.8.1
+h5py==3.7.0
 plotly==4.0.0
-xgboost==1.3.3
-scikit-learn==0.22.0
\ No newline at end of file
+xgboost==1.6.0
+pvlib==0.11.0
+scikit-learn==1.1.3
+arch==5.0
+filterpy==1.4.5
diff --git a/requirements.txt b/requirements.txt
index 4b3c66157..387589a4b 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,32 +1,35 @@
 cached-property==1.5.2
-certifi==2023.7.22
-chardet==4.0.0
-cycler==0.10.0
-fonttools==4.37.1
-h5py==3.6.0
-idna==2.10
-joblib==1.2.0
-kiwisolver==1.3.2
-matplotlib==3.5.0
-numpy==1.22.0
-packaging==21.3
-pandas==1.3.4
-patsy==0.5.2
-Pillow==10.0.1
-plotly==4.10.0
-pvlib==0.9.0
-pyparsing==2.4.7
-python-dateutil==2.8.1
-pytz==2019.3
-requests==2.31.0
-retrying==1.3.3
-scikit-learn==1.0.2
-scipy==1.10.0
-setuptools-scm==7.0.5
-six==1.14.0
-statsmodels==0.13.1
-threadpoolctl==3.1.0
+certifi==2024.7.4
+chardet==5.2.0
+cycler==0.12.1
+fonttools==4.53.1
+h5py==3.11.0
+idna==3.7
+joblib==1.4.2
+kiwisolver==1.4.5
+matplotlib==3.9.2
+numpy==2.1.1
+packaging==24.1
+pandas==2.2.2
+patsy==0.5.6
+Pillow==10.4.0
+plotly==5.23.0
+pvlib==0.11.0
+pyparsing==3.1.2
+python-dateutil==2.9.0
+pytz==2024.1
+arch==7.0.0
+filterpy==1.4.5
+requests==2.32.3
+retrying==1.3.4
+scikit-learn==1.5.1
+scipy==1.13.1
+setuptools-scm==8.1.0
+six==1.16.0
+statsmodels==0.14.2
+threadpoolctl==3.5.0
 tomli==2.0.1
-typing_extensions==4.3.0
-urllib3==1.26.18
-xgboost==1.5.1
+typing_extensions==4.12.2
+urllib3==2.2.2
+xgboost==2.1.1
+
diff --git a/setup.py b/setup.py
old mode 100644
new mode 100755
index aa684c818..441b16c03
--- a/setup.py
+++ b/setup.py
@@ -32,58 +32,59 @@
 ]
 
 TESTS_REQUIRE = [
-    'pytest >= 3.6.3',
-    'pytest-cov',
-    'coverage',
-    'flake8',
-    'nbval==0.9.6',  # https://github.com/computationalmodelling/nbval/issues/194
-    'pytest-mock',
+    "pytest >= 3.6.3",
+    "pytest-cov",
+    "coverage",
+    "flake8",
+    # nbval greater than 0.9.6 has a bug with semicolon
+    # https://github.com/computationalmodelling/nbval/issues/194
+    "nbval<=0.9.6",
+    "pytest-mock",
 ]
 
 INSTALL_REQUIRES = [
-    'matplotlib >= 3.0.0',
-    'numpy >= 1.17.3',
-    # pandas restricted to <2.1 until
-    # https://github.com/pandas-dev/pandas/issues/55794
-    # is resolved
-    'pandas >= 1.3.0, <2.1',
-    'statsmodels >= 0.11.0',
-    'scipy >= 1.2.0',
-    'h5py >= 2.8.0',
-    'plotly>=4.0.0',
-    'xgboost >= 1.3.3',
-    'pvlib >= 0.7.0, <0.11.0',
-    'scikit-learn >= 0.22.0',
+    "matplotlib >= 3.5.3",
+    "numpy >= 1.22.4",
+    "pandas >= 1.4.4",
+    "statsmodels >= 0.13.5",
+    "scipy >= 1.8.1",
+    "h5py >= 3.7.0",
+    "plotly>=4.0.0",
+    "xgboost >= 1.6.0",
+    "pvlib >= 0.11.0, <0.12.0",
+    "scikit-learn >= 1.1.3, <1.6.0",
+    "arch >= 5.0",
+    "filterpy >= 1.4.2",
 ]
 
 EXTRAS_REQUIRE = {
-    'doc': [
-        'sphinx==4.5.0',
-        'nbsphinx==0.8.8',
-        'nbsphinx-link==1.3.0',
-        'sphinx_rtd_theme==0.5.2',
-        'ipython',
+    "doc": [
+        "sphinx==7.4.7",
+        "nbsphinx==0.9.5",
+        "nbsphinx-link==1.3.1",
+        "sphinx_rtd_theme==3.0.1",
+        "ipython",
         # sphinx-gallery used indirectly for nbsphinx thumbnail galleries; see:
         # https://nbsphinx.readthedocs.io/en/0.6.0/subdir/gallery.html#Creating-Thumbnail-Galleries
-        'sphinx-gallery==0.8.1',
+        "sphinx-gallery==0.18.0",
     ],
-    'test': TESTS_REQUIRE,
+    "test": TESTS_REQUIRE,
 }
 EXTRAS_REQUIRE['all'] = sorted(set(sum(EXTRAS_REQUIRE.values(), [])))
 
 
 CLASSIFIERS = [
-    'Development Status :: 5 - Production/Stable',
-    'License :: OSI Approved :: MIT License',
-    'Operating System :: OS Independent',
-    'Intended Audience :: Science/Research',
-    'Programming Language :: Python',
-    'Programming Language :: Python :: 3',
-    'Programming Language :: Python :: 3.7',
-    'Programming Language :: Python :: 3.8',
-    'Programming Language :: Python :: 3.9',
-    'Programming Language :: Python :: 3.10',
-    'Topic :: Scientific/Engineering',
+    "Development Status :: 5 - Production/Stable",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: OS Independent",
+    "Intended Audience :: Science/Research",
+    "Programming Language :: Python",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Topic :: Scientific/Engineering",
 ]
 
 KEYWORDS = [
diff --git a/versioneer.py b/versioneer.py
index 64fea1c89..1e3753e63 100644
--- a/versioneer.py
+++ b/versioneer.py
@@ -1,5 +1,5 @@
 
-# Version: 0.18
+# Version: 0.29
 
 """The Versioneer - like a rocketeer, but for versions.
 
@@ -7,18 +7,14 @@
 ==============
 
 * like a rocketeer, but for versions!
-* https://github.com/warner/python-versioneer
+* https://github.com/python-versioneer/python-versioneer
 * Brian Warner
-* License: Public Domain
-* Compatible With: python2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, and pypy
-* [![Latest Version]
-(https://pypip.in/version/versioneer/badge.svg?style=flat)
-](https://pypi.python.org/pypi/versioneer/)
-* [![Build Status]
-(https://travis-ci.org/warner/python-versioneer.png?branch=master)
-](https://travis-ci.org/warner/python-versioneer)
-
-This is a tool for managing a recorded version number in distutils-based
+* License: Public Domain (Unlicense)
+* Compatible with: Python 3.7, 3.8, 3.9, 3.10, 3.11 and pypy3
+* [![Latest Version][pypi-image]][pypi-url]
+* [![Build Status][travis-image]][travis-url]
+
+This is a tool for managing a recorded version number in setuptools-based
 python projects. The goal is to remove the tedious and error-prone "update
 the embedded version string" step from your release process. Making a new
 release should be as easy as recording a new tag in your version-control
@@ -27,9 +23,38 @@
 
 ## Quick Install
 
-* `pip install versioneer` to somewhere to your $PATH
-* add a `[versioneer]` section to your setup.cfg (see below)
-* run `versioneer install` in your source tree, commit the results
+Versioneer provides two installation modes. The "classic" vendored mode installs
+a copy of versioneer into your repository. The experimental build-time dependency mode
+is intended to allow you to skip this step and simplify the process of upgrading.
+
+### Vendored mode
+
+* `pip install versioneer` to somewhere in your $PATH
+   * A [conda-forge recipe](https://github.com/conda-forge/versioneer-feedstock) is
+     available, so you can also use `conda install -c conda-forge versioneer`
+* add a `[tool.versioneer]` section to your `pyproject.toml` or a
+  `[versioneer]` section to your `setup.cfg` (see [Install](INSTALL.md))
+   * Note that you will need to add `tomli; python_version < "3.11"` to your
+     build-time dependencies if you use `pyproject.toml`
+* run `versioneer install --vendor` in your source tree, commit the results
+* verify version information with `python setup.py version`
+
+### Build-time dependency mode
+
+* `pip install versioneer` to somewhere in your $PATH
+   * A [conda-forge recipe](https://github.com/conda-forge/versioneer-feedstock) is
+     available, so you can also use `conda install -c conda-forge versioneer`
+* add a `[tool.versioneer]` section to your `pyproject.toml` or a
+  `[versioneer]` section to your `setup.cfg` (see [Install](INSTALL.md))
+* add `versioneer` (with `[toml]` extra, if configuring in `pyproject.toml`)
+  to the `requires` key of the `build-system` table in `pyproject.toml`:
+  ```toml
+  [build-system]
+  requires = ["setuptools", "versioneer[toml]"]
+  build-backend = "setuptools.build_meta"
+  ```
+* run `versioneer install --no-vendor` in your source tree, commit the results
+* verify version information with `python setup.py version`
 
 ## Version Identifiers
 
@@ -61,7 +86,7 @@
 for example `git describe --tags --dirty --always` reports things like
 "0.7-1-g574ab98-dirty" to indicate that the checkout is one revision past the
 0.7 tag, has a unique revision id of "574ab98", and is "dirty" (it has
-uncommitted changes.
+uncommitted changes).
 
 The version identifier is used for multiple purposes:
 
@@ -166,7 +191,7 @@
 
 Some situations are known to cause problems for Versioneer. This details the
 most significant ones. More can be found on Github
-[issues page](https://github.com/warner/python-versioneer/issues).
+[issues page](https://github.com/python-versioneer/python-versioneer/issues).
 
 ### Subprojects
 
@@ -180,7 +205,7 @@
   `setup.cfg`, and `tox.ini`. Projects like these produce multiple PyPI
   distributions (and upload multiple independently-installable tarballs).
 * Source trees whose main purpose is to contain a C library, but which also
-  provide bindings to Python (and perhaps other langauges) in subdirectories.
+  provide bindings to Python (and perhaps other languages) in subdirectories.
 
 Versioneer will look for `.git` in parent directories, and most operations
 should get the right version string. However `pip` and `setuptools` have bugs
@@ -194,9 +219,9 @@
 Pip-8.1.1 is known to have this problem, but hopefully it will get fixed in
 some later version.
 
-[Bug #38](https://github.com/warner/python-versioneer/issues/38) is tracking
+[Bug #38](https://github.com/python-versioneer/python-versioneer/issues/38) is tracking
 this issue. The discussion in
-[PR #61](https://github.com/warner/python-versioneer/pull/61) describes the
+[PR #61](https://github.com/python-versioneer/python-versioneer/pull/61) describes the
 issue from the Versioneer side in more detail.
 [pip PR#3176](https://github.com/pypa/pip/pull/3176) and
 [pip PR#3615](https://github.com/pypa/pip/pull/3615) contain work to improve
@@ -224,31 +249,20 @@
 cause egg_info to be rebuilt (including `sdist`, `wheel`, and installing into
 a different virtualenv), so this can be surprising.
 
-[Bug #83](https://github.com/warner/python-versioneer/issues/83) describes
+[Bug #83](https://github.com/python-versioneer/python-versioneer/issues/83) describes
 this one, but upgrading to a newer version of setuptools should probably
 resolve it.
 
-### Unicode version strings
-
-While Versioneer works (and is continually tested) with both Python 2 and
-Python 3, it is not entirely consistent with bytes-vs-unicode distinctions.
-Newer releases probably generate unicode version strings on py2. It's not
-clear that this is wrong, but it may be surprising for applications when then
-write these strings to a network connection or include them in bytes-oriented
-APIs like cryptographic checksums.
-
-[Bug #71](https://github.com/warner/python-versioneer/issues/71) investigates
-this question.
-
 
 ## Updating Versioneer
 
 To upgrade your project to a new release of Versioneer, do the following:
 
 * install the new Versioneer (`pip install -U versioneer` or equivalent)
-* edit `setup.cfg`, if necessary, to include any new configuration settings
-  indicated by the release notes. See [UPGRADING](./UPGRADING.md) for details.
-* re-run `versioneer install` in your source tree, to replace
+* edit `setup.cfg` and `pyproject.toml`, if necessary,
+  to include any new configuration settings indicated by the release notes.
+  See [UPGRADING](./UPGRADING.md) for details.
+* re-run `versioneer install --[no-]vendor` in your source tree, to replace
   `SRC/_version.py`
 * commit any changed files
 
@@ -265,35 +279,70 @@
 direction and include code from all supported VCS systems, reducing the
 number of intermediate scripts.
 
+## Similar projects
+
+* [setuptools_scm](https://github.com/pypa/setuptools_scm/) - a non-vendored build-time
+  dependency
+* [minver](https://github.com/jbweston/miniver) - a lightweight reimplementation of
+  versioneer
+* [versioningit](https://github.com/jwodder/versioningit) - a PEP 518-based setuptools
+  plugin
 
 ## License
 
 To make Versioneer easier to embed, all its code is dedicated to the public
 domain. The `_version.py` that it creates is also in the public domain.
-Specifically, both are released under the Creative Commons "Public Domain
-Dedication" license (CC0-1.0), as described in
-https://creativecommons.org/publicdomain/zero/1.0/ .
+Specifically, both are released under the "Unlicense", as described in
+https://unlicense.org/.
+
+[pypi-image]: https://img.shields.io/pypi/v/versioneer.svg
+[pypi-url]: https://pypi.python.org/pypi/versioneer/
+[travis-image]:
+https://img.shields.io/travis/com/python-versioneer/python-versioneer.svg
+[travis-url]: https://travis-ci.com/github/python-versioneer/python-versioneer
 
 """
+# pylint:disable=invalid-name,import-outside-toplevel,missing-function-docstring
+# pylint:disable=missing-class-docstring,too-many-branches,too-many-statements
+# pylint:disable=raise-missing-from,too-many-lines,too-many-locals,import-error
+# pylint:disable=too-few-public-methods,redefined-outer-name,consider-using-with
+# pylint:disable=attribute-defined-outside-init,too-many-arguments
 
-from __future__ import print_function
-try:
-    import configparser
-except ImportError:
-    import ConfigParser as configparser
+import configparser
 import errno
 import json
 import os
 import re
 import subprocess
 import sys
+from pathlib import Path
+from typing import Any, Callable, cast, Dict, List, Optional, Tuple, Union
+from typing import NoReturn
+import functools
+
+have_tomllib = True
+if sys.version_info >= (3, 11):
+    import tomllib
+else:
+    try:
+        import tomli as tomllib
+    except ImportError:
+        have_tomllib = False
 
 
 class VersioneerConfig:
     """Container for Versioneer configuration parameters."""
 
+    VCS: str
+    style: str
+    tag_prefix: str
+    versionfile_source: str
+    versionfile_build: Optional[str]
+    parentdir_prefix: Optional[str]
+    verbose: Optional[bool]
+
 
-def get_root():
+def get_root() -> str:
     """Get the project root directory.
 
     We require that all commands are run from the project root, i.e. the
@@ -301,13 +350,23 @@ def get_root():
     """
     root = os.path.realpath(os.path.abspath(os.getcwd()))
     setup_py = os.path.join(root, "setup.py")
+    pyproject_toml = os.path.join(root, "pyproject.toml")
     versioneer_py = os.path.join(root, "versioneer.py")
-    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+    if not (
+        os.path.exists(setup_py)
+        or os.path.exists(pyproject_toml)
+        or os.path.exists(versioneer_py)
+    ):
         # allow 'python path/to/setup.py COMMAND'
         root = os.path.dirname(os.path.realpath(os.path.abspath(sys.argv[0])))
         setup_py = os.path.join(root, "setup.py")
+        pyproject_toml = os.path.join(root, "pyproject.toml")
         versioneer_py = os.path.join(root, "versioneer.py")
-    if not (os.path.exists(setup_py) or os.path.exists(versioneer_py)):
+    if not (
+        os.path.exists(setup_py)
+        or os.path.exists(pyproject_toml)
+        or os.path.exists(versioneer_py)
+    ):
         err = ("Versioneer was unable to run the project root directory. "
                "Versioneer requires setup.py to be executed from "
                "its immediate directory (like 'python setup.py COMMAND'), "
@@ -321,43 +380,62 @@ def get_root():
         # module-import table will cache the first one. So we can't use
         # os.path.dirname(__file__), as that will find whichever
         # versioneer.py was first imported, even in later projects.
-        me = os.path.realpath(os.path.abspath(__file__))
-        me_dir = os.path.normcase(os.path.splitext(me)[0])
+        my_path = os.path.realpath(os.path.abspath(__file__))
+        me_dir = os.path.normcase(os.path.splitext(my_path)[0])
         vsr_dir = os.path.normcase(os.path.splitext(versioneer_py)[0])
-        if me_dir != vsr_dir:
+        if me_dir != vsr_dir and "VERSIONEER_PEP518" not in globals():
             print("Warning: build in %s is using versioneer.py from %s"
-                  % (os.path.dirname(me), versioneer_py))
+                  % (os.path.dirname(my_path), versioneer_py))
     except NameError:
         pass
     return root
 
 
-def get_config_from_root(root):
+def get_config_from_root(root: str) -> VersioneerConfig:
     """Read the project setup.cfg file to determine Versioneer config."""
-    # This might raise EnvironmentError (if setup.cfg is missing), or
+    # This might raise OSError (if setup.cfg is missing), or
     # configparser.NoSectionError (if it lacks a [versioneer] section), or
     # configparser.NoOptionError (if it lacks "VCS="). See the docstring at
     # the top of versioneer.py for instructions on writing your setup.cfg .
-    setup_cfg = os.path.join(root, "setup.cfg")
-    parser = configparser.SafeConfigParser()
-    with open(setup_cfg, "r") as f:
-        parser.readfp(f)
-    VCS = parser.get("versioneer", "VCS")  # mandatory
-
-    def get(parser, name):
-        if parser.has_option("versioneer", name):
-            return parser.get("versioneer", name)
-        return None
+    root_pth = Path(root)
+    pyproject_toml = root_pth / "pyproject.toml"
+    setup_cfg = root_pth / "setup.cfg"
+    section: Union[Dict[str, Any], configparser.SectionProxy, None] = None
+    if pyproject_toml.exists() and have_tomllib:
+        try:
+            with open(pyproject_toml, 'rb') as fobj:
+                pp = tomllib.load(fobj)
+            section = pp['tool']['versioneer']
+        except (tomllib.TOMLDecodeError, KeyError) as e:
+            print(f"Failed to load config from {pyproject_toml}: {e}")
+            print("Try to load it from setup.cfg")
+    if not section:
+        parser = configparser.ConfigParser()
+        with open(setup_cfg) as cfg_file:
+            parser.read_file(cfg_file)
+        parser.get("versioneer", "VCS")  # raise error if missing
+
+        section = parser["versioneer"]
+
+    # `cast`` really shouldn't be used, but its simplest for the
+    # common VersioneerConfig users at the moment. We verify against
+    # `None` values elsewhere where it matters
+
     cfg = VersioneerConfig()
-    cfg.VCS = VCS
-    cfg.style = get(parser, "style") or ""
-    cfg.versionfile_source = get(parser, "versionfile_source")
-    cfg.versionfile_build = get(parser, "versionfile_build")
-    cfg.tag_prefix = get(parser, "tag_prefix")
-    if cfg.tag_prefix in ("''", '""'):
+    cfg.VCS = section['VCS']
+    cfg.style = section.get("style", "")
+    cfg.versionfile_source = cast(str, section.get("versionfile_source"))
+    cfg.versionfile_build = section.get("versionfile_build")
+    cfg.tag_prefix = cast(str, section.get("tag_prefix"))
+    if cfg.tag_prefix in ("''", '""', None):
         cfg.tag_prefix = ""
-    cfg.parentdir_prefix = get(parser, "parentdir_prefix")
-    cfg.verbose = get(parser, "verbose")
+    cfg.parentdir_prefix = section.get("parentdir_prefix")
+    if isinstance(section, configparser.SectionProxy):
+        # Make sure configparser translates to bool
+        cfg.verbose = section.getboolean("verbose")
+    else:
+        cfg.verbose = section.get("verbose")
+
     return cfg
 
 
@@ -366,37 +444,48 @@ class NotThisMethod(Exception):
 
 
 # these dictionaries contain VCS-specific tools
-LONG_VERSION_PY = {}
-HANDLERS = {}
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
 
 
-def register_vcs_handler(vcs, method):  # decorator
-    """Decorator to mark a method as the handler for a particular VCS."""
-    def decorate(f):
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
         """Store f in HANDLERS[vcs][method]."""
-        if vcs not in HANDLERS:
-            HANDLERS[vcs] = {}
-        HANDLERS[vcs][method] = f
+        HANDLERS.setdefault(vcs, {})[method] = f
         return f
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
     """Call the given command(s)."""
     assert isinstance(commands, list)
-    p = None
-    for c in commands:
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
         try:
-            dispcmd = str([c] + args)
+            dispcmd = str([command] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
-                                 stdout=subprocess.PIPE,
-                                 stderr=(subprocess.PIPE if hide_stderr
-                                         else None))
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
             break
-        except EnvironmentError:
-            e = sys.exc_info()[1]
+        except OSError as e:
             if e.errno == errno.ENOENT:
                 continue
             if verbose:
@@ -407,26 +496,25 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
         if verbose:
             print("unable to find command, tried %s" % (commands,))
         return None, None
-    stdout = p.communicate()[0].strip()
-    if sys.version_info[0] >= 3:
-        stdout = stdout.decode()
-    if p.returncode != 0:
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
         if verbose:
             print("unable to run %s (error)" % dispcmd)
             print("stdout was %s" % stdout)
-        return None, p.returncode
-    return stdout, p.returncode
+        return None, process.returncode
+    return stdout, process.returncode
 
 
-LONG_VERSION_PY['git'] = '''
+LONG_VERSION_PY['git'] = r'''
 # This file helps to compute a version number in source trees obtained from
 # git-archive tarball (such as those provided by githubs download-from-tag
 # feature). Distribution tarballs (built by setup.py sdist) and build
 # directories (produced by setup.py build) will contain a much shorter file
 # that just contains the computed version number.
 
-# This file is released into the public domain. Generated by
-# versioneer-0.18 (https://github.com/warner/python-versioneer)
+# This file is released into the public domain.
+# Generated by versioneer-0.29
+# https://github.com/python-versioneer/python-versioneer
 
 """Git implementation of _version.py."""
 
@@ -435,9 +523,11 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
 import re
 import subprocess
 import sys
+from typing import Any, Callable, Dict, List, Optional, Tuple
+import functools
 
 
-def get_keywords():
+def get_keywords() -> Dict[str, str]:
     """Get the keywords needed to look up the version information."""
     # these strings will be replaced by git during git-archive.
     # setup.py/versioneer.py will grep for the variable names, so they must
@@ -453,8 +543,15 @@ def get_keywords():
 class VersioneerConfig:
     """Container for Versioneer configuration parameters."""
 
+    VCS: str
+    style: str
+    tag_prefix: str
+    parentdir_prefix: str
+    versionfile_source: str
+    verbose: bool
+
 
-def get_config():
+def get_config() -> VersioneerConfig:
     """Create, populate and return the VersioneerConfig() object."""
     # these strings are filled in when 'setup.py versioneer' creates
     # _version.py
@@ -472,13 +569,13 @@ class NotThisMethod(Exception):
     """Exception raised if a method is not valid for the current scenario."""
 
 
-LONG_VERSION_PY = {}
-HANDLERS = {}
+LONG_VERSION_PY: Dict[str, str] = {}
+HANDLERS: Dict[str, Dict[str, Callable]] = {}
 
 
-def register_vcs_handler(vcs, method):  # decorator
-    """Decorator to mark a method as the handler for a particular VCS."""
-    def decorate(f):
+def register_vcs_handler(vcs: str, method: str) -> Callable:  # decorator
+    """Create decorator to mark a method as the handler of a VCS."""
+    def decorate(f: Callable) -> Callable:
         """Store f in HANDLERS[vcs][method]."""
         if vcs not in HANDLERS:
             HANDLERS[vcs] = {}
@@ -487,22 +584,35 @@ def decorate(f):
     return decorate
 
 
-def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
-                env=None):
+def run_command(
+    commands: List[str],
+    args: List[str],
+    cwd: Optional[str] = None,
+    verbose: bool = False,
+    hide_stderr: bool = False,
+    env: Optional[Dict[str, str]] = None,
+) -> Tuple[Optional[str], Optional[int]]:
     """Call the given command(s)."""
     assert isinstance(commands, list)
-    p = None
-    for c in commands:
+    process = None
+
+    popen_kwargs: Dict[str, Any] = {}
+    if sys.platform == "win32":
+        # This hides the console window if pythonw.exe is used
+        startupinfo = subprocess.STARTUPINFO()
+        startupinfo.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        popen_kwargs["startupinfo"] = startupinfo
+
+    for command in commands:
         try:
-            dispcmd = str([c] + args)
+            dispcmd = str([command] + args)
             # remember shell=False, so use git.cmd on windows, not just git
-            p = subprocess.Popen([c] + args, cwd=cwd, env=env,
-                                 stdout=subprocess.PIPE,
-                                 stderr=(subprocess.PIPE if hide_stderr
-                                         else None))
+            process = subprocess.Popen([command] + args, cwd=cwd, env=env,
+                                       stdout=subprocess.PIPE,
+                                       stderr=(subprocess.PIPE if hide_stderr
+                                               else None), **popen_kwargs)
             break
-        except EnvironmentError:
-            e = sys.exc_info()[1]
+        except OSError as e:
             if e.errno == errno.ENOENT:
                 continue
             if verbose:
@@ -513,18 +623,20 @@ def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False,
         if verbose:
             print("unable to find command, tried %%s" %% (commands,))
         return None, None
-    stdout = p.communicate()[0].strip()
-    if sys.version_info[0] >= 3:
-        stdout = stdout.decode()
-    if p.returncode != 0:
+    stdout = process.communicate()[0].strip().decode()
+    if process.returncode != 0:
         if verbose:
             print("unable to run %%s (error)" %% dispcmd)
             print("stdout was %%s" %% stdout)
-        return None, p.returncode
-    return stdout, p.returncode
+        return None, process.returncode
+    return stdout, process.returncode
 
 
-def versions_from_parentdir(parentdir_prefix, root, verbose):
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Try to determine the version from the parent directory name.
 
     Source tarballs conventionally unpack into a directory that includes both
@@ -533,15 +645,14 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     """
     rootdirs = []
 
-    for i in range(3):
+    for _ in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
             return {"version": dirname[len(parentdir_prefix):],
                     "full-revisionid": None,
                     "dirty": False, "error": None, "date": None}
-        else:
-            rootdirs.append(root)
-            root = os.path.dirname(root)  # up a level
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
 
     if verbose:
         print("Tried directories %%s but none started with prefix %%s" %%
@@ -550,41 +661,48 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
 
 
 @register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
     """Extract version information from the given file."""
     # the code embedded in _version.py can just fetch the value of these
     # keywords. When used from setup.py, we don't want to import _version.py,
     # so we do it with a regexp instead. This function is not used from
     # _version.py.
-    keywords = {}
+    keywords: Dict[str, str] = {}
     try:
-        f = open(versionfile_abs, "r")
-        for line in f.readlines():
-            if line.strip().startswith("git_refnames ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["refnames"] = mo.group(1)
-            if line.strip().startswith("git_full ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["full"] = mo.group(1)
-            if line.strip().startswith("git_date ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["date"] = mo.group(1)
-        f.close()
-    except EnvironmentError:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
         pass
     return keywords
 
 
 @register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Get version information from git keywords."""
-    if not keywords:
-        raise NotThisMethod("no keywords at all, weird")
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
     date = keywords.get("date")
     if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
         # git-2.2.0 added "%%cI", which expands to an ISO-8601 -compliant
         # datestamp. However we prefer "%%ci" (which expands to an "ISO-8601
         # -like" string, which we must then edit to make compliant), because
@@ -597,11 +715,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         if verbose:
             print("keywords are unexpanded, not using")
         raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %%d
@@ -610,7 +728,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r'\d', r)])
+        tags = {r for r in refs if re.search(r'\d', r)}
         if verbose:
             print("discarding '%%s', no digits" %% ",".join(refs - tags))
     if verbose:
@@ -619,6 +737,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
             r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
             if verbose:
                 print("picking %%s" %% r)
             return {"version": r,
@@ -634,7 +757,12 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
     """Get version from 'git describe' in the root of the source tree.
 
     This only gets called if the git-archive 'subst' keywords were *not*
@@ -645,8 +773,15 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                          hide_stderr=True)
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
     if rc != 0:
         if verbose:
             print("Directory %%s not under git control" %% root)
@@ -654,24 +789,57 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
-                                          "--always", "--long",
-                                          "--match", "%%s*" %% tag_prefix],
-                                   cwd=root)
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
     describe_out = describe_out.strip()
-    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
     if full_out is None:
         raise NotThisMethod("'git rev-parse' failed")
     full_out = full_out.strip()
 
-    pieces = {}
+    pieces: Dict[str, Any] = {}
     pieces["long"] = full_out
     pieces["short"] = full_out[:7]  # maybe improved later
     pieces["error"] = None
 
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
     # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
     # TAG might have hyphens.
     git_describe = describe_out
@@ -688,7 +856,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
         # TAG-NUM-gHEX
         mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
         if not mo:
-            # unparseable. Maybe git-describe is misbehaving?
+            # unparsable. Maybe git-describe is misbehaving?
             pieces["error"] = ("unable to parse git-describe output: '%%s'"
                                %% describe_out)
             return pieces
@@ -713,26 +881,27 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
-                                    cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%%ci", "HEAD"],
-                       cwd=root)[0].strip()
+    date = runner(GITS, ["show", "-s", "--format=%%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."
     return "+"
 
 
-def render_pep440(pieces):
+def render_pep440(pieces: Dict[str, Any]) -> str:
     """Build up version string, with post-release "local version identifier".
 
     Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
@@ -757,23 +926,71 @@ def render_pep440(pieces):
     return rendered
 
 
-def render_pep440_pre(pieces):
-    """TAG[.post.devDISTANCE] -- No -dirty.
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
 
     Exceptions:
-    1: no tags. 0.post.devDISTANCE
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
     """
     if pieces["closest-tag"]:
         rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%%d.g%%s" %% (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%%d.g%%s" %% (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
         if pieces["distance"]:
-            rendered += ".post.dev%%d" %% pieces["distance"]
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%%d.dev%%d" %% (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%%d" %% (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
     else:
         # exception #1
-        rendered = "0.post.dev%%d" %% pieces["distance"]
+        rendered = "0.post0.dev%%d" %% pieces["distance"]
     return rendered
 
 
-def render_pep440_post(pieces):
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]+gHEX] .
 
     The ".dev0" means dirty. Note that .dev0 sorts backwards
@@ -800,12 +1017,41 @@ def render_pep440_post(pieces):
     return rendered
 
 
-def render_pep440_old(pieces):
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%%d" %% pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%%s" %% pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%%d" %% pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%%s" %% pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]] .
 
     The ".dev0" means dirty.
 
-    Eexceptions:
+    Exceptions:
     1: no tags. 0.postDISTANCE[.dev0]
     """
     if pieces["closest-tag"]:
@@ -822,7 +1068,7 @@ def render_pep440_old(pieces):
     return rendered
 
 
-def render_git_describe(pieces):
+def render_git_describe(pieces: Dict[str, Any]) -> str:
     """TAG[-DISTANCE-gHEX][-dirty].
 
     Like 'git describe --tags --dirty --always'.
@@ -842,7 +1088,7 @@ def render_git_describe(pieces):
     return rendered
 
 
-def render_git_describe_long(pieces):
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
     """TAG-DISTANCE-gHEX[-dirty].
 
     Like 'git describe --tags --dirty --always -long'.
@@ -862,7 +1108,7 @@ def render_git_describe_long(pieces):
     return rendered
 
 
-def render(pieces, style):
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
         return {"version": "unknown",
@@ -876,10 +1122,14 @@ def render(pieces, style):
 
     if style == "pep440":
         rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
     elif style == "pep440-pre":
         rendered = render_pep440_pre(pieces)
     elif style == "pep440-post":
         rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
     elif style == "pep440-old":
         rendered = render_pep440_old(pieces)
     elif style == "git-describe":
@@ -894,7 +1144,7 @@ def render(pieces, style):
             "date": pieces.get("date")}
 
 
-def get_versions():
+def get_versions() -> Dict[str, Any]:
     """Get version information or return default if unable to do so."""
     # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have
     # __file__, we can work backwards from there to the root. Some
@@ -915,7 +1165,7 @@ def get_versions():
         # versionfile_source is the relative path from the top of the source
         # tree (where the .git directory might live) to this file. Invert
         # this to find the root from __file__.
-        for i in cfg.versionfile_source.split('/'):
+        for _ in cfg.versionfile_source.split('/'):
             root = os.path.dirname(root)
     except NameError:
         return {"version": "0+unknown", "full-revisionid": None,
@@ -942,41 +1192,48 @@ def get_versions():
 
 
 @register_vcs_handler("git", "get_keywords")
-def git_get_keywords(versionfile_abs):
+def git_get_keywords(versionfile_abs: str) -> Dict[str, str]:
     """Extract version information from the given file."""
     # the code embedded in _version.py can just fetch the value of these
     # keywords. When used from setup.py, we don't want to import _version.py,
     # so we do it with a regexp instead. This function is not used from
     # _version.py.
-    keywords = {}
+    keywords: Dict[str, str] = {}
     try:
-        f = open(versionfile_abs, "r")
-        for line in f.readlines():
-            if line.strip().startswith("git_refnames ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["refnames"] = mo.group(1)
-            if line.strip().startswith("git_full ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["full"] = mo.group(1)
-            if line.strip().startswith("git_date ="):
-                mo = re.search(r'=\s*"(.*)"', line)
-                if mo:
-                    keywords["date"] = mo.group(1)
-        f.close()
-    except EnvironmentError:
+        with open(versionfile_abs, "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith("git_refnames ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["refnames"] = mo.group(1)
+                if line.strip().startswith("git_full ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["full"] = mo.group(1)
+                if line.strip().startswith("git_date ="):
+                    mo = re.search(r'=\s*"(.*)"', line)
+                    if mo:
+                        keywords["date"] = mo.group(1)
+    except OSError:
         pass
     return keywords
 
 
 @register_vcs_handler("git", "keywords")
-def git_versions_from_keywords(keywords, tag_prefix, verbose):
+def git_versions_from_keywords(
+    keywords: Dict[str, str],
+    tag_prefix: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Get version information from git keywords."""
-    if not keywords:
-        raise NotThisMethod("no keywords at all, weird")
+    if "refnames" not in keywords:
+        raise NotThisMethod("Short version file found")
     date = keywords.get("date")
     if date is not None:
+        # Use only the last line.  Previous lines may contain GPG signature
+        # information.
+        date = date.splitlines()[-1]
+
         # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant
         # datestamp. However we prefer "%ci" (which expands to an "ISO-8601
         # -like" string, which we must then edit to make compliant), because
@@ -989,11 +1246,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         if verbose:
             print("keywords are unexpanded, not using")
         raise NotThisMethod("unexpanded keywords, not a git-archive tarball")
-    refs = set([r.strip() for r in refnames.strip("()").split(",")])
+    refs = {r.strip() for r in refnames.strip("()").split(",")}
     # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of
     # just "foo-1.0". If we see a "tag: " prefix, prefer those.
     TAG = "tag: "
-    tags = set([r[len(TAG):] for r in refs if r.startswith(TAG)])
+    tags = {r[len(TAG):] for r in refs if r.startswith(TAG)}
     if not tags:
         # Either we're using git < 1.8.3, or there really are no tags. We use
         # a heuristic: assume all version tags have a digit. The old git %d
@@ -1002,7 +1259,7 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # between branches and tags. By ignoring refnames without digits, we
         # filter out many common branch names like "release" and
         # "stabilization", as well as "HEAD" and "master".
-        tags = set([r for r in refs if re.search(r'\d', r)])
+        tags = {r for r in refs if re.search(r'\d', r)}
         if verbose:
             print("discarding '%s', no digits" % ",".join(refs - tags))
     if verbose:
@@ -1011,6 +1268,11 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
         # sorting will prefer e.g. "2.0" over "2.0rc1"
         if ref.startswith(tag_prefix):
             r = ref[len(tag_prefix):]
+            # Filter out refs that exactly match prefix or that don't start
+            # with a number once the prefix is stripped (mostly a concern
+            # when prefix is '')
+            if not re.match(r'\d', r):
+                continue
             if verbose:
                 print("picking %s" % r)
             return {"version": r,
@@ -1026,7 +1288,12 @@ def git_versions_from_keywords(keywords, tag_prefix, verbose):
 
 
 @register_vcs_handler("git", "pieces_from_vcs")
-def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
+def git_pieces_from_vcs(
+    tag_prefix: str,
+    root: str,
+    verbose: bool,
+    runner: Callable = run_command
+) -> Dict[str, Any]:
     """Get version from 'git describe' in the root of the source tree.
 
     This only gets called if the git-archive 'subst' keywords were *not*
@@ -1037,8 +1304,15 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
 
-    out, rc = run_command(GITS, ["rev-parse", "--git-dir"], cwd=root,
-                          hide_stderr=True)
+    # GIT_DIR can interfere with correct operation of Versioneer.
+    # It may be intended to be passed to the Versioneer-versioned project,
+    # but that should not change where we get our version from.
+    env = os.environ.copy()
+    env.pop("GIT_DIR", None)
+    runner = functools.partial(runner, env=env)
+
+    _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root,
+                   hide_stderr=not verbose)
     if rc != 0:
         if verbose:
             print("Directory %s not under git control" % root)
@@ -1046,24 +1320,57 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
 
     # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty]
     # if there isn't one, this yields HEX[-dirty] (no NUM)
-    describe_out, rc = run_command(GITS, ["describe", "--tags", "--dirty",
-                                          "--always", "--long",
-                                          "--match", "%s*" % tag_prefix],
-                                   cwd=root)
+    describe_out, rc = runner(GITS, [
+        "describe", "--tags", "--dirty", "--always", "--long",
+        "--match", f"{tag_prefix}[[:digit:]]*"
+    ], cwd=root)
     # --long was added in git-1.5.5
     if describe_out is None:
         raise NotThisMethod("'git describe' failed")
     describe_out = describe_out.strip()
-    full_out, rc = run_command(GITS, ["rev-parse", "HEAD"], cwd=root)
+    full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root)
     if full_out is None:
         raise NotThisMethod("'git rev-parse' failed")
     full_out = full_out.strip()
 
-    pieces = {}
+    pieces: Dict[str, Any] = {}
     pieces["long"] = full_out
     pieces["short"] = full_out[:7]  # maybe improved later
     pieces["error"] = None
 
+    branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"],
+                             cwd=root)
+    # --abbrev-ref was added in git-1.6.3
+    if rc != 0 or branch_name is None:
+        raise NotThisMethod("'git rev-parse --abbrev-ref' returned error")
+    branch_name = branch_name.strip()
+
+    if branch_name == "HEAD":
+        # If we aren't exactly on a branch, pick a branch which represents
+        # the current commit. If all else fails, we are on a branchless
+        # commit.
+        branches, rc = runner(GITS, ["branch", "--contains"], cwd=root)
+        # --contains was added in git-1.5.4
+        if rc != 0 or branches is None:
+            raise NotThisMethod("'git branch --contains' returned error")
+        branches = branches.split("\n")
+
+        # Remove the first line if we're running detached
+        if "(" in branches[0]:
+            branches.pop(0)
+
+        # Strip off the leading "* " from the list of branches.
+        branches = [branch[2:] for branch in branches]
+        if "master" in branches:
+            branch_name = "master"
+        elif not branches:
+            branch_name = None
+        else:
+            # Pick the first branch that is returned. Good or bad.
+            branch_name = branches[0]
+
+    pieces["branch"] = branch_name
+
     # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty]
     # TAG might have hyphens.
     git_describe = describe_out
@@ -1080,7 +1387,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
         # TAG-NUM-gHEX
         mo = re.search(r'^(.+)-(\d+)-g([0-9a-f]+)$', git_describe)
         if not mo:
-            # unparseable. Maybe git-describe is misbehaving?
+            # unparsable. Maybe git-describe is misbehaving?
             pieces["error"] = ("unable to parse git-describe output: '%s'"
                                % describe_out)
             return pieces
@@ -1105,19 +1412,20 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     else:
         # HEX: no tags
         pieces["closest-tag"] = None
-        count_out, rc = run_command(GITS, ["rev-list", "HEAD", "--count"],
-                                    cwd=root)
-        pieces["distance"] = int(count_out)  # total number of commits
+        out, rc = runner(GITS, ["rev-list", "HEAD", "--left-right"], cwd=root)
+        pieces["distance"] = len(out.split())  # total number of commits
 
     # commit date: see ISO-8601 comment in git_versions_from_keywords()
-    date = run_command(GITS, ["show", "-s", "--format=%ci", "HEAD"],
-                       cwd=root)[0].strip()
+    date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip()
+    # Use only the last line.  Previous lines may contain GPG signature
+    # information.
+    date = date.splitlines()[-1]
     pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1)
 
     return pieces
 
 
-def do_vcs_install(manifest_in, versionfile_source, ipy):
+def do_vcs_install(versionfile_source: str, ipy: Optional[str]) -> None:
     """Git-specific installation logic for Versioneer.
 
     For Git, this means creating/changing .gitattributes to mark _version.py
@@ -1126,36 +1434,40 @@ def do_vcs_install(manifest_in, versionfile_source, ipy):
     GITS = ["git"]
     if sys.platform == "win32":
         GITS = ["git.cmd", "git.exe"]
-    files = [manifest_in, versionfile_source]
+    files = [versionfile_source]
     if ipy:
         files.append(ipy)
-    try:
-        me = __file__
-        if me.endswith(".pyc") or me.endswith(".pyo"):
-            me = os.path.splitext(me)[0] + ".py"
-        versioneer_file = os.path.relpath(me)
-    except NameError:
-        versioneer_file = "versioneer.py"
-    files.append(versioneer_file)
+    if "VERSIONEER_PEP518" not in globals():
+        try:
+            my_path = __file__
+            if my_path.endswith((".pyc", ".pyo")):
+                my_path = os.path.splitext(my_path)[0] + ".py"
+            versioneer_file = os.path.relpath(my_path)
+        except NameError:
+            versioneer_file = "versioneer.py"
+        files.append(versioneer_file)
     present = False
     try:
-        f = open(".gitattributes", "r")
-        for line in f.readlines():
-            if line.strip().startswith(versionfile_source):
-                if "export-subst" in line.strip().split()[1:]:
-                    present = True
-        f.close()
-    except EnvironmentError:
+        with open(".gitattributes", "r") as fobj:
+            for line in fobj:
+                if line.strip().startswith(versionfile_source):
+                    if "export-subst" in line.strip().split()[1:]:
+                        present = True
+                        break
+    except OSError:
         pass
     if not present:
-        f = open(".gitattributes", "a+")
-        f.write("%s export-subst\n" % versionfile_source)
-        f.close()
+        with open(".gitattributes", "a+") as fobj:
+            fobj.write(f"{versionfile_source} export-subst\n")
         files.append(".gitattributes")
     run_command(GITS, ["add", "--"] + files)
 
 
-def versions_from_parentdir(parentdir_prefix, root, verbose):
+def versions_from_parentdir(
+    parentdir_prefix: str,
+    root: str,
+    verbose: bool,
+) -> Dict[str, Any]:
     """Try to determine the version from the parent directory name.
 
     Source tarballs conventionally unpack into a directory that includes both
@@ -1164,15 +1476,14 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
     """
     rootdirs = []
 
-    for i in range(3):
+    for _ in range(3):
         dirname = os.path.basename(root)
         if dirname.startswith(parentdir_prefix):
             return {"version": dirname[len(parentdir_prefix):],
                     "full-revisionid": None,
                     "dirty": False, "error": None, "date": None}
-        else:
-            rootdirs.append(root)
-            root = os.path.dirname(root)  # up a level
+        rootdirs.append(root)
+        root = os.path.dirname(root)  # up a level
 
     if verbose:
         print("Tried directories %s but none started with prefix %s" %
@@ -1181,7 +1492,7 @@ def versions_from_parentdir(parentdir_prefix, root, verbose):
 
 
 SHORT_VERSION_PY = """
-# This file was generated by 'versioneer.py' (0.18) from
+# This file was generated by 'versioneer.py' (0.29) from
 # revision-control system data, or from the parent directory name of an
 # unpacked source archive. Distribution tarballs contain a pre-generated copy
 # of this file.
@@ -1198,12 +1509,12 @@ def get_versions():
 """
 
 
-def versions_from_file(filename):
+def versions_from_file(filename: str) -> Dict[str, Any]:
     """Try to determine the version from _version.py if present."""
     try:
         with open(filename) as f:
             contents = f.read()
-    except EnvironmentError:
+    except OSError:
         raise NotThisMethod("unable to read _version.py")
     mo = re.search(r"version_json = '''\n(.*)'''  # END VERSION_JSON",
                    contents, re.M | re.S)
@@ -1215,9 +1526,8 @@ def versions_from_file(filename):
     return json.loads(mo.group(1))
 
 
-def write_to_version_file(filename, versions):
+def write_to_version_file(filename: str, versions: Dict[str, Any]) -> None:
     """Write the given version number to the given _version.py file."""
-    os.unlink(filename)
     contents = json.dumps(versions, sort_keys=True,
                           indent=1, separators=(",", ": "))
     with open(filename, "w") as f:
@@ -1226,14 +1536,14 @@ def write_to_version_file(filename, versions):
     print("set %s to '%s'" % (filename, versions["version"]))
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces: Dict[str, Any]) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."
     return "+"
 
 
-def render_pep440(pieces):
+def render_pep440(pieces: Dict[str, Any]) -> str:
     """Build up version string, with post-release "local version identifier".
 
     Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you
@@ -1258,23 +1568,71 @@ def render_pep440(pieces):
     return rendered
 
 
-def render_pep440_pre(pieces):
-    """TAG[.post.devDISTANCE] -- No -dirty.
+def render_pep440_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] .
+
+    The ".dev0" means not master branch. Note that .dev0 sorts backwards
+    (a feature branch will appear "older" than the master branch).
 
     Exceptions:
-    1: no tags. 0.post.devDISTANCE
+    1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty]
     """
     if pieces["closest-tag"]:
         rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "%d.g%s" % (pieces["distance"], pieces["short"])
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0"
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+untagged.%d.g%s" % (pieces["distance"],
+                                          pieces["short"])
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def pep440_split_post(ver: str) -> Tuple[str, Optional[int]]:
+    """Split pep440 version string at the post-release segment.
+
+    Returns the release segments before the post-release and the
+    post-release version number (or -1 if no post-release segment is present).
+    """
+    vc = str.split(ver, ".post")
+    return vc[0], int(vc[1] or 0) if len(vc) == 2 else None
+
+
+def render_pep440_pre(pieces: Dict[str, Any]) -> str:
+    """TAG[.postN.devDISTANCE] -- No -dirty.
+
+    Exceptions:
+    1: no tags. 0.post0.devDISTANCE
+    """
+    if pieces["closest-tag"]:
         if pieces["distance"]:
-            rendered += ".post.dev%d" % pieces["distance"]
+            # update the post release segment
+            tag_version, post_version = pep440_split_post(pieces["closest-tag"])
+            rendered = tag_version
+            if post_version is not None:
+                rendered += ".post%d.dev%d" % (post_version + 1, pieces["distance"])
+            else:
+                rendered += ".post0.dev%d" % (pieces["distance"])
+        else:
+            # no commits, use the tag as the version
+            rendered = pieces["closest-tag"]
     else:
         # exception #1
-        rendered = "0.post.dev%d" % pieces["distance"]
+        rendered = "0.post0.dev%d" % pieces["distance"]
     return rendered
 
 
-def render_pep440_post(pieces):
+def render_pep440_post(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]+gHEX] .
 
     The ".dev0" means dirty. Note that .dev0 sorts backwards
@@ -1301,12 +1659,41 @@ def render_pep440_post(pieces):
     return rendered
 
 
-def render_pep440_old(pieces):
+def render_pep440_post_branch(pieces: Dict[str, Any]) -> str:
+    """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] .
+
+    The ".dev0" means not master branch.
+
+    Exceptions:
+    1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty]
+    """
+    if pieces["closest-tag"]:
+        rendered = pieces["closest-tag"]
+        if pieces["distance"] or pieces["dirty"]:
+            rendered += ".post%d" % pieces["distance"]
+            if pieces["branch"] != "master":
+                rendered += ".dev0"
+            rendered += plus_or_dot(pieces)
+            rendered += "g%s" % pieces["short"]
+            if pieces["dirty"]:
+                rendered += ".dirty"
+    else:
+        # exception #1
+        rendered = "0.post%d" % pieces["distance"]
+        if pieces["branch"] != "master":
+            rendered += ".dev0"
+        rendered += "+g%s" % pieces["short"]
+        if pieces["dirty"]:
+            rendered += ".dirty"
+    return rendered
+
+
+def render_pep440_old(pieces: Dict[str, Any]) -> str:
     """TAG[.postDISTANCE[.dev0]] .
 
     The ".dev0" means dirty.
 
-    Eexceptions:
+    Exceptions:
     1: no tags. 0.postDISTANCE[.dev0]
     """
     if pieces["closest-tag"]:
@@ -1323,7 +1710,7 @@ def render_pep440_old(pieces):
     return rendered
 
 
-def render_git_describe(pieces):
+def render_git_describe(pieces: Dict[str, Any]) -> str:
     """TAG[-DISTANCE-gHEX][-dirty].
 
     Like 'git describe --tags --dirty --always'.
@@ -1343,7 +1730,7 @@ def render_git_describe(pieces):
     return rendered
 
 
-def render_git_describe_long(pieces):
+def render_git_describe_long(pieces: Dict[str, Any]) -> str:
     """TAG-DISTANCE-gHEX[-dirty].
 
     Like 'git describe --tags --dirty --always -long'.
@@ -1363,7 +1750,7 @@ def render_git_describe_long(pieces):
     return rendered
 
 
-def render(pieces, style):
+def render(pieces: Dict[str, Any], style: str) -> Dict[str, Any]:
     """Render the given version pieces into the requested style."""
     if pieces["error"]:
         return {"version": "unknown",
@@ -1377,10 +1764,14 @@ def render(pieces, style):
 
     if style == "pep440":
         rendered = render_pep440(pieces)
+    elif style == "pep440-branch":
+        rendered = render_pep440_branch(pieces)
     elif style == "pep440-pre":
         rendered = render_pep440_pre(pieces)
     elif style == "pep440-post":
         rendered = render_pep440_post(pieces)
+    elif style == "pep440-post-branch":
+        rendered = render_pep440_post_branch(pieces)
     elif style == "pep440-old":
         rendered = render_pep440_old(pieces)
     elif style == "git-describe":
@@ -1399,7 +1790,7 @@ class VersioneerBadRootError(Exception):
     """The project root directory is unknown or missing key files."""
 
 
-def get_versions(verbose=False):
+def get_versions(verbose: bool = False) -> Dict[str, Any]:
     """Get the project version from whatever source is available.
 
     Returns dict with two keys: 'version' and 'full'.
@@ -1414,7 +1805,7 @@ def get_versions(verbose=False):
     assert cfg.VCS is not None, "please set [versioneer]VCS= in setup.cfg"
     handlers = HANDLERS.get(cfg.VCS)
     assert handlers, "unrecognized VCS '%s'" % cfg.VCS
-    verbose = verbose or cfg.verbose
+    verbose = verbose or bool(cfg.verbose)  # `bool()` used to avoid `None`
     assert cfg.versionfile_source is not None, \
         "please set versioneer.versionfile_source"
     assert cfg.tag_prefix is not None, "please set versioneer.tag_prefix"
@@ -1475,13 +1866,17 @@ def get_versions(verbose=False):
             "date": None}
 
 
-def get_version():
+def get_version() -> str:
     """Get the short version string for this project."""
     return get_versions()["version"]
 
 
-def get_cmdclass():
-    """Get the custom setuptools/distutils subclasses used by Versioneer."""
+def get_cmdclass(cmdclass: Optional[Dict[str, Any]] = None):
+    """Get the custom setuptools subclasses used by Versioneer.
+
+    If the package uses a different cmdclass (e.g. one from numpy), it
+    should be provide as an argument.
+    """
     if "versioneer" in sys.modules:
         del sys.modules["versioneer"]
         # this fixes the "python setup.py develop" case (also 'install' and
@@ -1495,25 +1890,25 @@ def get_cmdclass():
         # parent is protected against the child's "import versioneer". By
         # removing ourselves from sys.modules here, before the child build
         # happens, we protect the child from the parent's versioneer too.
-        # Also see https://github.com/warner/python-versioneer/issues/52
+        # Also see https://github.com/python-versioneer/python-versioneer/issues/52
 
-    cmds = {}
+    cmds = {} if cmdclass is None else cmdclass.copy()
 
-    # we add "version" to both distutils and setuptools
-    from distutils.core import Command
+    # we add "version" to setuptools
+    from setuptools import Command
 
     class cmd_version(Command):
         description = "report generated version string"
-        user_options = []
-        boolean_options = []
+        user_options: List[Tuple[str, str, str]] = []
+        boolean_options: List[str] = []
 
-        def initialize_options(self):
+        def initialize_options(self) -> None:
             pass
 
-        def finalize_options(self):
+        def finalize_options(self) -> None:
             pass
 
-        def run(self):
+        def run(self) -> None:
             vers = get_versions(verbose=True)
             print("Version: %s" % vers["version"])
             print(" full-revisionid: %s" % vers.get("full-revisionid"))
@@ -1523,7 +1918,7 @@ def run(self):
                 print(" error: %s" % vers["error"])
     cmds["version"] = cmd_version
 
-    # we override "build_py" in both distutils and setuptools
+    # we override "build_py" in setuptools
     #
     # most invocation pathways end up running build_py:
     #  distutils/build -> build_py
@@ -1538,18 +1933,25 @@ def run(self):
     #   then does setup.py bdist_wheel, or sometimes setup.py install
     #  setup.py egg_info -> ?
 
+    # pip install -e . and setuptool/editable_wheel will invoke build_py
+    # but the build_py command is not expected to copy any files.
+
     # we override different "build_py" commands for both environments
-    if "setuptools" in sys.modules:
-        from setuptools.command.build_py import build_py as _build_py
+    if 'build_py' in cmds:
+        _build_py: Any = cmds['build_py']
     else:
-        from distutils.command.build_py import build_py as _build_py
+        from setuptools.command.build_py import build_py as _build_py
 
     class cmd_build_py(_build_py):
-        def run(self):
+        def run(self) -> None:
             root = get_root()
             cfg = get_config_from_root(root)
             versions = get_versions()
             _build_py.run(self)
+            if getattr(self, "editable_mode", False):
+                # During editable installs `.py` and data files are
+                # not copied to build_lib
+                return
             # now locate _version.py in the new build/ directory and replace
             # it with an updated value
             if cfg.versionfile_build:
@@ -1559,8 +1961,40 @@ def run(self):
                 write_to_version_file(target_versionfile, versions)
     cmds["build_py"] = cmd_build_py
 
+    if 'build_ext' in cmds:
+        _build_ext: Any = cmds['build_ext']
+    else:
+        from setuptools.command.build_ext import build_ext as _build_ext
+
+    class cmd_build_ext(_build_ext):
+        def run(self) -> None:
+            root = get_root()
+            cfg = get_config_from_root(root)
+            versions = get_versions()
+            _build_ext.run(self)
+            if self.inplace:
+                # build_ext --inplace will only build extensions in
+                # build/lib<..> dir with no _version.py to write to.
+                # As in place builds will already have a _version.py
+                # in the module dir, we do not need to write one.
+                return
+            # now locate _version.py in the new build/ directory and replace
+            # it with an updated value
+            if not cfg.versionfile_build:
+                return
+            target_versionfile = os.path.join(self.build_lib,
+                                              cfg.versionfile_build)
+            if not os.path.exists(target_versionfile):
+                print(f"Warning: {target_versionfile} does not exist, skipping "
+                      "version update. This can happen if you are running build_ext "
+                      "without first running build_py.")
+                return
+            print("UPDATING %s" % target_versionfile)
+            write_to_version_file(target_versionfile, versions)
+    cmds["build_ext"] = cmd_build_ext
+
     if "cx_Freeze" in sys.modules:  # cx_freeze enabled?
-        from cx_Freeze.dist import build_exe as _build_exe
+        from cx_Freeze.dist import build_exe as _build_exe  # type: ignore
         # nczeczulin reports that py2exe won't like the pep440-style string
         # as FILEVERSION, but it can be used for PRODUCTVERSION, e.g.
         # setup(console=[{
@@ -1569,7 +2003,7 @@ def run(self):
         #   ...
 
         class cmd_build_exe(_build_exe):
-            def run(self):
+            def run(self) -> None:
                 root = get_root()
                 cfg = get_config_from_root(root)
                 versions = get_versions()
@@ -1593,12 +2027,12 @@ def run(self):
 
     if 'py2exe' in sys.modules:  # py2exe enabled?
         try:
-            from py2exe.distutils_buildexe import py2exe as _py2exe  # py3
+            from py2exe.setuptools_buildexe import py2exe as _py2exe  # type: ignore
         except ImportError:
-            from py2exe.build_exe import py2exe as _py2exe  # py2
+            from py2exe.distutils_buildexe import py2exe as _py2exe  # type: ignore
 
         class cmd_py2exe(_py2exe):
-            def run(self):
+            def run(self) -> None:
                 root = get_root()
                 cfg = get_config_from_root(root)
                 versions = get_versions()
@@ -1619,14 +2053,51 @@ def run(self):
                              })
         cmds["py2exe"] = cmd_py2exe
 
+    # sdist farms its file list building out to egg_info
+    if 'egg_info' in cmds:
+        _egg_info: Any = cmds['egg_info']
+    else:
+        from setuptools.command.egg_info import egg_info as _egg_info
+
+    class cmd_egg_info(_egg_info):
+        def find_sources(self) -> None:
+            # egg_info.find_sources builds the manifest list and writes it
+            # in one shot
+            super().find_sources()
+
+            # Modify the filelist and normalize it
+            root = get_root()
+            cfg = get_config_from_root(root)
+            self.filelist.append('versioneer.py')
+            if cfg.versionfile_source:
+                # There are rare cases where versionfile_source might not be
+                # included by default, so we must be explicit
+                self.filelist.append(cfg.versionfile_source)
+            self.filelist.sort()
+            self.filelist.remove_duplicates()
+
+            # The write method is hidden in the manifest_maker instance that
+            # generated the filelist and was thrown away
+            # We will instead replicate their final normalization (to unicode,
+            # and POSIX-style paths)
+            from setuptools import unicode_utils
+            normalized = [unicode_utils.filesys_decode(f).replace(os.sep, '/')
+                          for f in self.filelist.files]
+
+            manifest_filename = os.path.join(self.egg_info, 'SOURCES.txt')
+            with open(manifest_filename, 'w') as fobj:
+                fobj.write('\n'.join(normalized))
+
+    cmds['egg_info'] = cmd_egg_info
+
     # we override different "sdist" commands for both environments
-    if "setuptools" in sys.modules:
-        from setuptools.command.sdist import sdist as _sdist
+    if 'sdist' in cmds:
+        _sdist: Any = cmds['sdist']
     else:
-        from distutils.command.sdist import sdist as _sdist
+        from setuptools.command.sdist import sdist as _sdist
 
     class cmd_sdist(_sdist):
-        def run(self):
+        def run(self) -> None:
             versions = get_versions()
             self._versioneer_generated_versions = versions
             # unless we update this, the command will keep using the old
@@ -1634,7 +2105,7 @@ def run(self):
             self.distribution.metadata.version = versions["version"]
             return _sdist.run(self)
 
-        def make_release_tree(self, base_dir, files):
+        def make_release_tree(self, base_dir: str, files: List[str]) -> None:
             root = get_root()
             cfg = get_config_from_root(root)
             _sdist.make_release_tree(self, base_dir, files)
@@ -1687,21 +2158,26 @@ def make_release_tree(self, base_dir, files):
 
 """
 
-INIT_PY_SNIPPET = """
+OLD_SNIPPET = """
 from ._version import get_versions
 __version__ = get_versions()['version']
 del get_versions
 """
 
+INIT_PY_SNIPPET = """
+from . import {0}
+__version__ = {0}.get_versions()['version']
+"""
 
-def do_setup():
-    """Main VCS-independent setup function for installing Versioneer."""
+
+def do_setup() -> int:
+    """Do main VCS-independent setup function for installing Versioneer."""
     root = get_root()
     try:
         cfg = get_config_from_root(root)
-    except (EnvironmentError, configparser.NoSectionError,
+    except (OSError, configparser.NoSectionError,
             configparser.NoOptionError) as e:
-        if isinstance(e, (EnvironmentError, configparser.NoSectionError)):
+        if isinstance(e, (OSError, configparser.NoSectionError)):
             print("Adding sample versioneer config to setup.cfg",
                   file=sys.stderr)
             with open(os.path.join(root, "setup.cfg"), "a") as f:
@@ -1721,62 +2197,37 @@ def do_setup():
 
     ipy = os.path.join(os.path.dirname(cfg.versionfile_source),
                        "__init__.py")
+    maybe_ipy: Optional[str] = ipy
     if os.path.exists(ipy):
         try:
             with open(ipy, "r") as f:
                 old = f.read()
-        except EnvironmentError:
+        except OSError:
             old = ""
-        if INIT_PY_SNIPPET not in old:
+        module = os.path.splitext(os.path.basename(cfg.versionfile_source))[0]
+        snippet = INIT_PY_SNIPPET.format(module)
+        if OLD_SNIPPET in old:
+            print(" replacing boilerplate in %s" % ipy)
+            with open(ipy, "w") as f:
+                f.write(old.replace(OLD_SNIPPET, snippet))
+        elif snippet not in old:
             print(" appending to %s" % ipy)
             with open(ipy, "a") as f:
-                f.write(INIT_PY_SNIPPET)
+                f.write(snippet)
         else:
             print(" %s unmodified" % ipy)
     else:
         print(" %s doesn't exist, ok" % ipy)
-        ipy = None
-
-    # Make sure both the top-level "versioneer.py" and versionfile_source
-    # (PKG/_version.py, used by runtime code) are in MANIFEST.in, so
-    # they'll be copied into source distributions. Pip won't be able to
-    # install the package without this.
-    manifest_in = os.path.join(root, "MANIFEST.in")
-    simple_includes = set()
-    try:
-        with open(manifest_in, "r") as f:
-            for line in f:
-                if line.startswith("include "):
-                    for include in line.split()[1:]:
-                        simple_includes.add(include)
-    except EnvironmentError:
-        pass
-    # That doesn't cover everything MANIFEST.in can do
-    # (http://docs.python.org/2/distutils/sourcedist.html#commands), so
-    # it might give some false negatives. Appending redundant 'include'
-    # lines is safe, though.
-    if "versioneer.py" not in simple_includes:
-        print(" appending 'versioneer.py' to MANIFEST.in")
-        with open(manifest_in, "a") as f:
-            f.write("include versioneer.py\n")
-    else:
-        print(" 'versioneer.py' already in MANIFEST.in")
-    if cfg.versionfile_source not in simple_includes:
-        print(" appending versionfile_source ('%s') to MANIFEST.in" %
-              cfg.versionfile_source)
-        with open(manifest_in, "a") as f:
-            f.write("include %s\n" % cfg.versionfile_source)
-    else:
-        print(" versionfile_source already in MANIFEST.in")
+        maybe_ipy = None
 
     # Make VCS-specific changes. For git, this means creating/changing
     # .gitattributes to mark _version.py for export-subst keyword
     # substitution.
-    do_vcs_install(manifest_in, cfg.versionfile_source, ipy)
+    do_vcs_install(cfg.versionfile_source, maybe_ipy)
     return 0
 
 
-def scan_setup_py():
+def scan_setup_py() -> int:
     """Validate the contents of setup.py against Versioneer's expectations."""
     found = set()
     setters = False
@@ -1813,10 +2264,14 @@ def scan_setup_py():
     return errors
 
 
+def setup_command() -> NoReturn:
+    """Set up Versioneer and exit with appropriate error code."""
+    errors = do_setup()
+    errors += scan_setup_py()
+    sys.exit(1 if errors else 0)
+
+
 if __name__ == "__main__":
     cmd = sys.argv[1]
     if cmd == "setup":
-        errors = do_setup()
-        errors += scan_setup_py()
-        if errors:
-            sys.exit(1)
+        setup_command()