From 0c4474cf658ef4a3ed60773c6ad629e17b90fb34 Mon Sep 17 00:00:00 2001 From: Dusan Gostimirovic Date: Thu, 28 Nov 2024 14:45:11 -0500 Subject: [PATCH] Temporary removal --- docs/examples/6_WDM_FAID.ipynb | 1843 ----------------------- docs/examples/img/flux_ID_nopredict.png | Bin 78770 -> 0 bytes docs/examples/img/flux_ID_predict.png | Bin 77849 -> 0 bytes mkdocs.yml | 1 - 4 files changed, 1844 deletions(-) delete mode 100644 docs/examples/6_WDM_FAID.ipynb delete mode 100644 docs/examples/img/flux_ID_nopredict.png delete mode 100644 docs/examples/img/flux_ID_predict.png diff --git a/docs/examples/6_WDM_FAID.ipynb b/docs/examples/6_WDM_FAID.ipynb deleted file mode 100644 index 1651f82..0000000 --- a/docs/examples/6_WDM_FAID.ipynb +++ /dev/null @@ -1,1843 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e2c5f771", - "metadata": {}, - "source": [ - "# Fabrication-Aware Inverse Design (FAID)\n", - "\n", - "> **Note:** This notebook is a close copy of the [Fabrication-Aware Inverse Design (FAID) of a Wavelength Division Multiplexer](https://docs.flexcompute.com/projects/tidy3d/en/latest/notebooks/Autograd23FabricationAwareInvdes.html) from the Tidy3D documentation.\n", - "\n", - "This notebook extends the [Adjoint Optimization of a Wavelength Division Multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd9WDM/) by incorporating fabrication awareness into the design process. Specifically, we integrate a differentiable computer vision model from [PreFab Photonics](https://www.prefabphotonics.com/) into the topology optimization loop to predict and optimize the manufacturability of photonic device designs. This approach, known as *fabrication-aware inverse design* (FAID), results in devices that are inherently more robust to fabrication variations.\n", - "\n", - "Unlike optical proximity correction (OPC), which adjusts designs to compensate for lithography-induced distortions after the design phase, FAID directly optimizes for manufacturable designs by using fabrication predictions within the design loop. While OPC can enhance design fidelity, it may not ensure manufacturability for complex features. FAID focuses on creating features that are inherently realizable by the fabrication process, leading to designs that are more practical to manufacture.\n", - "\n", - "For a deeper look at the FAID concept, refer to this [paper](https://arxiv.org/abs/2410.07353) by Lukas Chrostowski's group at the University of British Columbia. Additional information on PreFab's virtual nanofabrication models can be found in the [PreFab documentation](https://docs.prefabphotonics.com/)." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "c76c454e-e2c8-40ab-a4ed-e41a5e3e0d65", - "metadata": {}, - "outputs": [], - "source": [ - "import autograd as ag\n", - "import autograd.numpy as anp\n", - "import matplotlib.pylab as plt\n", - "import numpy as np\n", - "import tidy3d as td\n", - "import tidy3d.web as web\n", - "\n", - "np.random.seed(2)" - ] - }, - { - "cell_type": "markdown", - "id": "0b809e8d", - "metadata": {}, - "source": [ - "## PreFab Setup" - ] - }, - { - "cell_type": "markdown", - "id": "6fc2775c", - "metadata": {}, - "source": [ - "First, we will need to install the latest PreFab Python package." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "10218c45", - "metadata": {}, - "outputs": [], - "source": [ - "%pip install --upgrade prefab" - ] - }, - { - "cell_type": "markdown", - "id": "5c280837", - "metadata": {}, - "source": [ - "PreFab models operate on a cloud platform. To make prediction requests, you must first create an account. Run the following cell or visit the [PreFab website](https://www.prefabphotonics.com/signup) to create an account." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "8e12ebf5", - "metadata": {}, - "outputs": [], - "source": [ - "import webbrowser\n", - "\n", - "_ = webbrowser.open(\"https://www.prefabphotonics.com/signup\")" - ] - }, - { - "cell_type": "markdown", - "id": "b8342818", - "metadata": {}, - "source": [ - "To associate your account, a token is required. This action will prompt a browser window to open, allowing you to log in and authenticate your token." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "aa638e5d", - "metadata": {}, - "outputs": [], - "source": [ - "!python3 -m prefab setup" - ] - }, - { - "cell_type": "markdown", - "id": "8e4b8bde", - "metadata": {}, - "source": [ - "Lastly, to verify that PreFab is properly configured, we can make a test prediction request.\n", - "\n", - "From the test prediction results below, we can see how the predicted structure undergoes corner rounding and loss of small features, as expected from the fabrication process.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "4e8bb4f8", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Prediction: 100%|\u001b[32m██████████████████████████████\u001b[0m| 100/100 [00:02<00:00, 34.43%/s]\u001b[32m\u001b[0m\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import prefab as pf\n", - "\n", - "device = pf.shapes.target()\n", - "prediction = device.predict(model=pf.models[\"ANT_NanoSOI_ANF1_d10\"], binarize=True)\n", - "device.plot()\n", - "prediction.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "8e761bee", - "metadata": {}, - "source": [ - "## Predicting Device Performance\n", - "\n", - "Using the prediction model, we can simulate the expected experimental performance of device designs such as the wavelength division multiplexer (WDM) in the [Adjoint Optimization of a Wavelength Division Multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd9WDM/). The WDM was optimized with a relatively large feature size and an erosion/dilation penalty to enhance robustness against fabrication variations. This optimization allows it to tolerate predicted fabrication variations quite well; however, some performance degradation is still observed. As illustrated in the figure below, the fabrication-predicted transmission spectra gets distorted, insertion loss is increased, and further crosstalk is introduced. This performance degradation can be mitigated with FAID.\n", - "\n", - "# ![WDM performance without fabrication prediction](./img/flux_ID_nopredict.png)\n", - "# ![WDM performance with fabrication prediction](./img/flux_ID_predict.png)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "e12a92cd-ca91-4981-8168-da4bcd7bb156", - "metadata": {}, - "source": [ - "## Sim Setup\n", - "\n", - "Then we set up our basic simulation for the FAID optimization.\n", - "\n", - "We have an input waveguide connected to a square design region, which has `n=4` output waveguides. \n", - "\n", - "The square design region is a custom medium with a pixelated permittivity grid that we wish to optimize such that input light of different wavelengths get directed to different output ports.\n", - "\n", - "As this is a SOI device, we typically define the design region and waveguides as Silicon sitting on an SiO2 substrate. For this demo, we make a 2D simulation, but it can be easily made 3D by changing the `Lz` parameter, adding dimension to the structures, and adding a substrate." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "3d77b41c-91ac-49af-bc3d-cca78e938e3c", - "metadata": {}, - "outputs": [], - "source": [ - "# material information\n", - "n_si = 3.49\n", - "n_sio2 = 1.45 # not used in 2D\n", - "n_air = 1\n", - "\n", - "# channel wavelengths\n", - "wvls_design = np.array([1.270, 1.290, 1.310, 1.330])\n", - "\n", - "freqs_design = td.C_0 / wvls_design\n", - "num_freqs_design = len(freqs_design)\n", - "freq_max = np.max(freqs_design)\n", - "freq_min = np.min(freqs_design)\n", - "keys = [str(i) for i in range(num_freqs_design)]\n", - "df_design = abs(np.mean(np.diff(freqs_design)))\n", - "\n", - "# forward source\n", - "freq0 = np.mean(freqs_design)\n", - "wvl0 = td.C_0 / freq0\n", - "fwidth = freq_max - freq_min\n", - "run_time = 120 / fwidth\n", - "\n", - "# we average the metrics over the channels with some frequency width\n", - "channel_fwidth = df_design / 2.0\n", - "channel_bounds = [\n", - " (f - channel_fwidth / 2, f + channel_fwidth / 2) for f in freqs_design\n", - "]\n", - "num_freqs_channel = 5\n", - "channel_freqs = []\n", - "for fmin, fmax in channel_bounds:\n", - " sub_freqs = np.linspace(fmin, fmax, num_freqs_channel)\n", - " channel_freqs += sub_freqs.tolist()\n", - "\n", - "# size of design region\n", - "lx = 4.5\n", - "ly = 4.5\n", - "ly_single = ly / num_freqs_design\n", - "lz = td.inf\n", - "\n", - "# size of waveguides\n", - "wg_width = 0.3\n", - "wg_length = 1.5\n", - "wg_spacing = 0.8\n", - "\n", - "# spacing between design region and PML in y\n", - "buffer = 1.5\n", - "\n", - "# size of simulation\n", - "Lx = lx + wg_length * 2\n", - "Ly = ly + buffer * 2\n", - "Lz = 0.0\n", - "\n", - "# fabrication constraints (feature size and projection strength)\n", - "radius = 0.100\n", - "beta0 = 2\n", - "\n", - "# resolution information\n", - "min_steps_per_wvl = 18\n", - "dl_design_region = 0.015" - ] - }, - { - "cell_type": "markdown", - "id": "c8b4d96e-6af3-47ac-9bac-62ebbc05ce03", - "metadata": {}, - "source": [ - "### Static Simulation\n", - "\n", - "First, we'll define the simulation without any design region using the \"static\" components that dont change over the optimization." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "207a7411-7aec-428c-9d80-2fa730874277", - "metadata": {}, - "outputs": [], - "source": [ - "# define the waveguide ports\n", - "wg_in = td.Structure(\n", - " geometry=td.Box(\n", - " center=(-Lx / 2, 0, 0),\n", - " size=(wg_length * 2, wg_width, lz),\n", - " ),\n", - " medium=td.Medium(permittivity=n_si**2),\n", - ")\n", - "\n", - "centers_y = np.linspace(\n", - " -ly / 2.0 + ly_single / 2.0, +ly / 2.0 - ly_single / 2.0, num_freqs_design\n", - ")\n", - "mode_size = (0, 0.9 * ly_single, td.inf)\n", - "\n", - "wgs_out = []\n", - "for center_y in centers_y:\n", - " wg_out = td.Structure(\n", - " geometry=td.Box(\n", - " center=(+Lx / 2, center_y, 0),\n", - " size=(wg_length * 2, wg_width, lz),\n", - " ),\n", - " medium=td.Medium(permittivity=n_si**2),\n", - " )\n", - " wgs_out.append(wg_out)\n", - "\n", - "# measure the mode amplitudes at each of the output ports\n", - "mnts_mode = []\n", - "for key, center_y in zip(keys, centers_y):\n", - " mnt_mode = td.ModeMonitor(\n", - " center=(Lx / 2 - wg_length / 2, center_y, 0),\n", - " size=mode_size,\n", - " freqs=channel_freqs,\n", - " mode_spec=td.ModeSpec(),\n", - " name=f\"mode_{key}\",\n", - " )\n", - " mnts_mode.append(mnt_mode)\n", - "\n", - "# measures the flux at each of the output ports\n", - "mnts_flux = []\n", - "for key, center_y in zip(keys, centers_y):\n", - " mnt_flux = td.FluxMonitor(\n", - " center=(Lx / 2 - wg_length / 2, center_y, 0),\n", - " size=mode_size,\n", - " freqs=channel_freqs,\n", - " name=f\"flux_{key}\",\n", - " )\n", - " mnts_flux.append(mnt_flux)\n", - "\n", - "# and a field monitor that measures fields on the z=0 plane at the design freqs\n", - "fld_mnt = td.FieldMonitor(\n", - " center=(0, 0, 0),\n", - " size=(td.inf, td.inf, 0),\n", - " freqs=freqs_design,\n", - " name=\"field\",\n", - ")\n", - "\n", - "# inject the fundamental mode into the input waveguide\n", - "mode_src = td.ModeSource(\n", - " center=(-Lx / 2 + wg_length / 2, 0, 0),\n", - " size=mode_size,\n", - " source_time=td.GaussianPulse(\n", - " freq0=freq0,\n", - " fwidth=fwidth,\n", - " ),\n", - " direction=\"+\",\n", - " mode_index=0,\n", - ")\n", - "\n", - "sim_static = td.Simulation(\n", - " size=(Lx, Ly, Lz),\n", - " grid_spec=td.GridSpec.auto(\n", - " min_steps_per_wvl=min_steps_per_wvl,\n", - " wavelength=np.min(wvls_design),\n", - " ),\n", - " structures=[wg_in] + wgs_out,\n", - " sources=[mode_src],\n", - " monitors=mnts_mode + mnts_flux + [fld_mnt],\n", - " boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=True if Lz else False),\n", - " run_time=run_time,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "4400153f-b2b2-4ec7-97ea-34e82b5ddd1d", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ax = sim_static.plot_eps(z=0.01)\n", - "ax.set_aspect(\"equal\")" - ] - }, - { - "cell_type": "markdown", - "id": "27386dd2-e686-4fd0-8210-20bac15dc422", - "metadata": {}, - "source": [ - "### Solving modes\n", - "\n", - "Next, we want to ensure that we are injecting and measuring the right waveguide modes at each of the ports.\n", - "\n", - "We'll use `tidy3d`'s `ModeSolver` to analyze the modes of our input waveguide." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "439f9a65-ec0b-4fab-bdc1-d6831108153e", - "metadata": {}, - "outputs": [], - "source": [ - "from tidy3d.plugins.mode import ModeSolver\n", - "from tidy3d.plugins.mode.web import run as run_mode_solver\n", - "\n", - "# we'll ask for 4 modes just to inspect\n", - "num_modes = 4\n", - "\n", - "# let's define how large the mode planes are and how far they are from the PML relative to the design region\n", - "mode_size = (0, ly_single, td.inf)\n", - "\n", - "# make a plane corresponding to where we wish to measure the input mode\n", - "plane_in = td.Box(\n", - " center=(-Lx / 2 + wg_length / 2.0, 0, 0),\n", - " size=mode_size,\n", - ")\n", - "\n", - "mode_solver = ModeSolver(\n", - " simulation=sim_static,\n", - " plane=plane_in,\n", - " freqs=freqs_design,\n", - " mode_spec=td.ModeSpec(num_modes=num_modes),\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "10bd2470-6bf4-4f46-9912-191ad57ca3ab", - "metadata": {}, - "source": [ - "Next we run the mode solver on the servers." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "682799a3-1e90-4b17-a0aa-c416a4171f9f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
22:28:35 EST Mode solver created with                                           \n",
-       "             task_id='fdve-c02571e6-5fbb-4842-aeb0-3f525aa0ee15',               \n",
-       "             solver_id='mo-b96bb1ba-649e-400c-8197-1cc594732ca6'.               \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m22:28:35 EST\u001b[0m\u001b[2;36m \u001b[0mMode solver created with \n", - "\u001b[2;36m \u001b[0m\u001b[33mtask_id\u001b[0m=\u001b[32m'fdve-c02571e6-5fbb-4842-aeb0-3f525aa0ee15'\u001b[0m, \n", - "\u001b[2;36m \u001b[0m\u001b[33msolver_id\u001b[0m=\u001b[32m'mo-b96bb1ba-649e-400c-8197-1cc594732ca6'\u001b[0m. \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e85cadf66103414891f870c835b11103", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "aff19d462c2d42828d4dfc208a3fbb78",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "
22:28:38 EST Mode solver status: success                                        \n",
-       "
\n" - ], - "text/plain": [ - "\u001b[2;36m22:28:38 EST\u001b[0m\u001b[2;36m \u001b[0mMode solver status: success \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "1602f3ce57994887b58e2a892bcbd91b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "mode_data = run_mode_solver(\n",
-    "    mode_solver, reduce_simulation=True, results_file=\"data/mode_solver.hdf5\"\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d0403fdb-7cc3-44c0-97ed-75183da44c93",
-   "metadata": {},
-   "source": [
-    "And visualize the results."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "b84807cb-0c7e-497a-88de-6ebc753f2636",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Effective index of computed modes:  [[3.1513898 2.840793  2.006425  1.0989405]\n",
-      " [3.1436877 2.8191965 1.970435  1.0913303]\n",
-      " [3.1359682 2.797195  1.934321  1.0847051]\n",
-      " [3.1282325 2.7747855 1.8980899 1.0788841]]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axs = plt.subplots(num_modes, 3, figsize=(12, 12), tight_layout=True)\n", - "for mode_index in range(num_modes):\n", - " vmax = 1.1 * max(\n", - " abs(mode_data.field_components[n].sel(mode_index=mode_index)).max()\n", - " for n in (\"Ex\", \"Ey\", \"Ez\")\n", - " )\n", - " for field_name, ax in zip((\"Ex\", \"Ey\", \"Ez\"), axs[mode_index]):\n", - " for freq in freqs_design:\n", - " key = f\"{td.C_0 / freq * 1000 :.0f} nm\"\n", - " field = mode_data.field_components[field_name].sel(\n", - " mode_index=mode_index, f=freq\n", - " )\n", - " field.real.plot(label=f\"Real ({key})\", ax=ax)\n", - " field.imag.plot(ls=\"--\", label=f\"Imag ({key})\", ax=ax)\n", - " ax.set_title(f\"index={mode_index}, {field_name}\")\n", - " ax.set_ylim(-vmax, vmax)\n", - " ax.legend()\n", - "\n", - "print(\"Effective index of computed modes: \", np.array(mode_data.n_eff))" - ] - }, - { - "cell_type": "markdown", - "id": "43d92a79-c290-48c9-8354-55c998e5b870", - "metadata": {}, - "source": [ - "We identify `mode_index=0` as the first order mode that is out of plane of the device. Let's choose to optimize our device with respect to this as the mode of interest for both the input and output.\n", - "\n", - "We'll update or static simulation with the new mode index and mode specificiation, in case these are different from the original ones." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "8ebd9a87-8928-48a6-bbe1-56d774a49c89", - "metadata": {}, - "outputs": [], - "source": [ - "mode_index = 0\n", - "mode_spec = td.ModeSpec(num_modes=mode_index + 1)\n", - "\n", - "sim_static = sim_static.updated_copy(mode_index=mode_index, path=\"sources/0\")\n", - "sim_static = sim_static.updated_copy(mode_spec=mode_spec, path=\"sources/0\")\n", - "for i in range(num_freqs_design):\n", - " sim_static = sim_static.updated_copy(mode_spec=mode_spec, path=f\"monitors/{i}\")" - ] - }, - { - "cell_type": "markdown", - "id": "d120bf86-54c3-4af2-b3eb-33726288d008", - "metadata": {}, - "source": [ - "### Define design region\n", - "\n", - "Next, we define the design region as a pixelated grid of permittivity values that get generated from our optimization parameters.\n", - "\n", - "We first define the overall geometry as a `td.Box` and also the number of pixels in x and y staticd on our design region resolution." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "209f2e58-fd7d-42f7-bb6d-459f41511250", - "metadata": {}, - "outputs": [], - "source": [ - "nx = int(lx / dl_design_region)\n", - "ny = int(ly / dl_design_region)\n", - "\n", - "design_region_geo = td.Box(size=(lx, ly, lz), center=(0, 0, 0))" - ] - }, - { - "cell_type": "markdown", - "id": "34e3a347", - "metadata": {}, - "source": [ - "PreFab models function on a grid with a 1 nm resolution. To use the prediction function effectively, we adjust our simulation design region to match this resolution. We also add a buffer layer to the design region to account for the interface between it and the waveguides. Afterward, we will convert it back to the original size and resolution.\n", - "\n", - "While this process introduces discretization error, it can be minimized by using a higher simulation resolution—which is recommended for production designs.\n", - "\n", - "> **Note:** We'll use a model for the electron-beam lithography process from [Applied Nanotools Inc. (ANT)](https://www.appliednt.com/) for the prediction." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "5bd171d0", - "metadata": {}, - "outputs": [], - "source": [ - "FAB_MODEL = pf.models[\"ANT_NanoSOI_ANF1_d10\"]\n", - "prediction_buffer = 0.16\n", - "n_prediction_buffer = int(prediction_buffer / dl_design_region)\n", - "\n", - "\n", - "def resize_array(array: np.ndarray, scale: float) -> np.ndarray:\n", - " H, W = array.shape\n", - " \"\"\"Array resizing using bilinear interpolation.\"\"\"\n", - " new_H = int(H * scale)\n", - " new_W = int(W * scale)\n", - "\n", - " x = anp.linspace(0, W - 1, new_W)\n", - " y = anp.linspace(0, H - 1, new_H)\n", - " x_grid, y_grid = anp.meshgrid(x, y)\n", - "\n", - " x0 = anp.floor(x_grid).astype(int)\n", - " x1 = x0 + 1\n", - " y0 = anp.floor(y_grid).astype(int)\n", - " y1 = y0 + 1\n", - "\n", - " x0 = anp.clip(x0, 0, W - 1)\n", - " x1 = anp.clip(x1, 0, W - 1)\n", - " y0 = anp.clip(y0, 0, H - 1)\n", - " y1 = anp.clip(y1, 0, H - 1)\n", - "\n", - " Ia = array[y0, x0]\n", - " Ib = array[y1, x0]\n", - " Ic = array[y0, x1]\n", - " Id = array[y1, x1]\n", - "\n", - " wa = (x1 - x_grid) * (y1 - y_grid)\n", - " wb = (x1 - x_grid) * (y_grid - y0)\n", - " wc = (x_grid - x0) * (y1 - y_grid)\n", - " wd = (x_grid - x0) * (y_grid - y0)\n", - "\n", - " resized_image = wa * Ia + wb * Ib + wc * Ic + wd * Id\n", - " return resized_image\n", - "\n", - "\n", - "def add_prediction_buffer(params):\n", - " \"\"\"Add a buffer layer to the design region. This is useful for predicting the interface between the design region and the waveguides.\"\"\"\n", - " params = anp.pad(\n", - " params, pad_width=n_prediction_buffer, mode=\"constant\", constant_values=0\n", - " )\n", - " wg_mask = anp.zeros_like(params)\n", - " center_y_mask = wg_mask.shape[1] // 2\n", - "\n", - " # add input waveguide to mask\n", - " wg_half_width = int((wg_width / 2) / dl_design_region)\n", - " wg_mask[\n", - " 0:n_prediction_buffer,\n", - " center_y_mask - wg_half_width : center_y_mask + wg_half_width,\n", - " ] = 1\n", - "\n", - " # add output waveguides to mask\n", - " for center_y in centers_y:\n", - " wg_center = int(center_y / dl_design_region)\n", - " wg_mask[\n", - " -n_prediction_buffer:,\n", - " center_y_mask + wg_center - wg_half_width : center_y_mask\n", - " + wg_center\n", - " + wg_half_width,\n", - " ] = 1\n", - "\n", - " return params * (1 - wg_mask) + wg_mask\n", - "\n", - "\n", - "def params_to_device_array(params: np.ndarray, scale: float) -> np.ndarray:\n", - " \"\"\"Convert params to a device array at 1 nm resolution.\"\"\"\n", - " params = add_prediction_buffer(params)\n", - " device_array = resize_array(params, scale)\n", - " return device_array\n", - "\n", - "\n", - "def device_array_to_params(device_array: np.ndarray, scale: float) -> np.ndarray:\n", - " \"\"\"Convert device array to params at the original resolution.\"\"\"\n", - " params = resize_array(device_array, 1 / scale)\n", - " params = params[\n", - " n_prediction_buffer:-n_prediction_buffer,\n", - " n_prediction_buffer:-n_prediction_buffer,\n", - " ]\n", - " return params\n", - "\n", - "\n", - "def tanh_projection(x, beta, eta=0.5):\n", - " tanhbn = anp.tanh(beta * eta)\n", - " num = tanhbn + anp.tanh(beta * (x - eta))\n", - " den = tanhbn + anp.tanh(beta * (1 - eta))\n", - " return num / den" - ] - }, - { - "cell_type": "markdown", - "id": "9b02b2fa-ce32-49ad-9844-1af1a4ff864d", - "metadata": {}, - "source": [ - "Next we write a function to give us the pixelated array as a function of our parameters through our filtering and projection methods, which are used to make the resulting structures easier to fabricate. For more details, refer to our 4th lecture in the [inverse design 101 lecture series](https://www.flexcompute.com/tidy3d/learning-center/inverse-design/), which focuses on fabrication constraints.\n", - "\n", - "We also wrap this function in another one that generates the entire `td.Structure` corresponding to the design region, for convenience later.\n", - "\n", - "> **For FAID:** During each iteration, we predict the fabrication variation of the structure and incorporate the new geometry into the simulation. This approach allows us to optimize a \"virtual\" structure, which accounts for fabrication imperfections, rather than an idealized version. We introduce a `use_predict` flag here." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "761964ee-79d7-486a-8bbb-03d2917ff844", - "metadata": {}, - "outputs": [], - "source": [ - "from tidy3d.plugins.autograd import make_filter_and_project, rescale\n", - "\n", - "filter_project = make_filter_and_project(radius, dl_design_region)\n", - "\n", - "\n", - "def get_density(params: np.ndarray, beta: float) -> np.ndarray:\n", - " \"\"\"Get the density of material (0, 1) as a function of the parameters (0,1)\"\"\"\n", - " return filter_project(params, beta=beta)\n", - "\n", - "\n", - "def make_eps(\n", - " params: np.ndarray, beta: float, use_predict: bool = False, eta: float = 0.5\n", - ") -> np.ndarray:\n", - " \"\"\"Generates permittivity values for the design region, optionally using a PreFab prediction model to account for manufacturing variations.\"\"\"\n", - " density = get_density(params, beta=beta)\n", - "\n", - " # ********** START OF ADDED PREFAB CODE **********\n", - " if use_predict:\n", - " device_array = params_to_device_array(density, dl_design_region * 1000)\n", - " prediction_array = pf.predict.predict_array_with_grad(device_array, FAB_MODEL)\n", - " prediction_array = tanh_projection(prediction_array, beta, eta)\n", - " predicted_density = device_array_to_params(\n", - " prediction_array, dl_design_region * 1000\n", - " )\n", - " return rescale(predicted_density, 1, n_si**2)\n", - " # ********** END OF ADDED PREFAB CODE **********\n", - "\n", - " else:\n", - " return rescale(density, 1, n_si**2)\n", - "\n", - "\n", - "def make_custom_medium(\n", - " params: np.ndarray, beta: float, use_predict: bool = False, eta: float = 0.5\n", - ") -> td.Structure:\n", - " \"\"\"Make td.Structure containing custom medium with the permittivity data as a function of parameters.\"\"\"\n", - " eps = make_eps(params, beta, use_predict, eta).reshape((nx, ny, 1))\n", - " xs = anp.linspace(-lx / 2, lx / 2, nx)\n", - " ys = anp.linspace(-ly / 2, ly / 2, ny)\n", - " zs = [0]\n", - " coords = dict(x=xs, y=ys, z=zs)\n", - "\n", - " eps_arr = td.ScalarFieldDataArray(data=eps, coords=coords)\n", - "\n", - " medium = td.CustomMedium(permittivity=eps_arr)\n", - "\n", - " return td.Structure(geometry=design_region_geo, medium=medium)" - ] - }, - { - "cell_type": "markdown", - "id": "d8dcf2f1-9bf8-49e6-9e1e-6221992c7210", - "metadata": {}, - "source": [ - "### Construct Simulation\n", - "\n", - "With all of these functions and variables defined, we can write a single function to return our \"static\" `td.Simulation` as a function of our design parameters. This function first constructs the design region, a mesh override structure to control the resolution in this region, and then creates a copy of the original `td.Simulation` with all of the basic parameters." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "1d67ccdc-758e-4648-aabc-4264b83086a1", - "metadata": {}, - "outputs": [], - "source": [ - "def get_sim(\n", - " params, beta, include_extra_mnts: bool = True, use_predict: bool = False, eta=0.5\n", - "):\n", - " design_region = make_custom_medium(\n", - " params, beta=beta, use_predict=use_predict, eta=eta\n", - " )\n", - "\n", - " design_override = td.MeshOverrideStructure(\n", - " geometry=design_region.geometry,\n", - " dl=[dl_design_region, dl_design_region, dl_design_region],\n", - " )\n", - " grid_spec = sim_static.grid_spec.updated_copy(\n", - " override_structures=list(sim_static.grid_spec.override_structures)\n", - " + [design_override]\n", - " )\n", - "\n", - " update_dict = dict(\n", - " structures=list(sim_static.structures) + [design_region],\n", - " grid_spec=grid_spec,\n", - " )\n", - "\n", - " # if include_extra_mnts is False, update sim to only include mode monitors, to save data.\n", - " if not include_extra_mnts:\n", - " update_dict[\"monitors\"] = mnts_mode\n", - "\n", - " return sim_static.updated_copy(**update_dict)" - ] - }, - { - "cell_type": "markdown", - "id": "aaab90f1-970e-4fde-89d8-f08ae61f530f", - "metadata": {}, - "source": [ - "Let's test out our function. We'll make an initially random array of parameters between 0 and 1 and generate the static simulation to plot and inspect." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "08846717-16bc-49ee-bcb3-dd5e1c30cd6c", - "metadata": {}, - "outputs": [], - "source": [ - "params0 = np.random.random((nx, ny))\n", - "sim0 = get_sim(params0, beta=beta0, use_predict=False)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "65933269-50cd-4dea-b32d-25f39492c7dc", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ax = sim0.plot_eps(z=0.01)\n", - "ax.set_aspect(\"equal\")" - ] - }, - { - "cell_type": "markdown", - "id": "36ddbde9-64c9-4771-ab9e-8bf2c224f860", - "metadata": {}, - "source": [ - "## Defining Objective Function\n", - "\n", - "With our simulation fully defined as a function of our parameters, we are ready to define our objective function.\n", - "\n", - "In this case, it is quite simple, we simply measure the transmitted power in our `n=4` output waveguide modes for each of the `n=4` design frequencies.\n", - "\n", - "Our objective whenn looking at waveguide `i` will be to maximize power transmission at frequency `i`. To reduce cross talk between waveguide `i` and frequency `j != i`, we will subtract the average of the power transmissions for all of the other ports.\n", - "\n", - "Our overall metric will then be the average" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "56ed21ad-0882-46ca-bc99-f1e4163fcc72", - "metadata": {}, - "outputs": [], - "source": [ - "import xarray as xr\n", - "\n", - "\n", - "def average_over_channel(\n", - " spectrum: xr.DataArray, fmin: float, fmax: float\n", - ") -> xr.DataArray:\n", - " \"\"\"Get average of the spectrum within the frequency range between fmin and fmax.\"\"\"\n", - " freqs = spectrum.f\n", - " freqs_in_channel = np.logical_and(freqs >= fmin, freqs <= fmax).values\n", - " num_freqs = np.sum(freqs_in_channel)\n", - " avg_power = spectrum.values @ freqs_in_channel / num_freqs\n", - " return avg_power\n", - "\n", - "\n", - "def get_power(sim_data: td.SimulationData, mnt_index: int, freq_index: int) -> float:\n", - " \"\"\"Get the average power at waveguide `mnt_index` and frequency channel `freq_index`.\"\"\"\n", - " mnt_name = mnts_mode[mnt_index].name\n", - " mnt_data = sim_data[mnt_name]\n", - " fmin_channel, fmax_channel = channel_bounds[freq_index]\n", - " amp = mnt_data.amps.sel(direction=\"+\", mode_index=0)\n", - " power_spectrum = anp.abs(amp) ** 2\n", - " return average_over_channel(power_spectrum, fmin=fmin_channel, fmax=fmax_channel)\n", - "\n", - "\n", - "def get_metric(\n", - " sim_data: td.SimulationData, mnt_index: int, leak_weight: float = 1.0\n", - ") -> float:\n", - " \"\"\"measure of how well this channel (`mnt_index`) performs. With an adjustable weight to reduce cross talk influence.\"\"\"\n", - "\n", - " power_all = [\n", - " get_power(sim_data=sim_data, mnt_index=mnt_index, freq_index=j)\n", - " for j in range(num_freqs_design)\n", - " ]\n", - "\n", - " power_transmitted = power_all[mnt_index]\n", - "\n", - " # remove the extra term of power_self in power_all\n", - " power_leaked = sum(power_all) - power_transmitted\n", - " avg_power_leaked = power_leaked / (num_freqs_design - 1)\n", - "\n", - " return power_transmitted - leak_weight * avg_power_leaked" - ] - }, - { - "cell_type": "markdown", - "id": "55bbda26-70af-4e53-a77e-d92dac0221f6", - "metadata": {}, - "source": [ - "Next we add a penalty to produce structures that are invariant under erosion and dilation, which is a useful approach to implementing minimum length scale features." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "7f7da424-d19e-4e0c-b95d-2ac7c877e246", - "metadata": {}, - "outputs": [], - "source": [ - "from tidy3d.plugins.autograd import make_erosion_dilation_penalty\n", - "\n", - "beta_penalty = 10\n", - "\n", - "penalty = make_erosion_dilation_penalty(radius, dl_design_region, beta=beta_penalty)" - ] - }, - { - "cell_type": "markdown", - "id": "218ac455-3626-4399-a11d-1ba288fe63bf", - "metadata": {}, - "source": [ - "### Total Objective function\n", - "\n", - "Then we write an `objective` function that constructs our simulation, runs it, measures our metric, and subtracts our penalty.\n", - "\n", - "> Note: due to current limitations of the autograd support in tidy3d, when running broadband simulations, one must have only a single output 'port' in the forward simulation. Therefore, we split our problem into one simulation per output waveguide, and then run these in parallel using `web.run_async()`.\n", - "\n", - "> **For FAID:** We set `use_predict=True` and `use_penalty=False`.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "3bba8bcc-4d2e-4268-a338-aab37513f5df", - "metadata": {}, - "outputs": [], - "source": [ - "# useful for debugging, if you want to turn off the metric, penalty, or prediction\n", - "use_penalty = False\n", - "use_metric = True\n", - "use_predict = True\n", - "\n", - "\n", - "def objective(\n", - " params, beta: float, penalty_weight: float = 1.0, leak_weight: float = 0.0, eta=0.5\n", - ") -> float:\n", - " metric = 0.0\n", - " penalty_value = 0.0\n", - "\n", - " if use_metric:\n", - " sim = get_sim(\n", - " params,\n", - " beta=beta,\n", - " include_extra_mnts=False,\n", - " use_predict=use_predict,\n", - " eta=eta,\n", - " )\n", - " simulations = {f\"WDM_invdes_{key}\": sim for key in keys}\n", - " batch_data = web.run_async(simulations, verbose=False, path_dir=\"data/\")\n", - " metric = 0.0\n", - " for mnt_index, (_, sim_data) in enumerate(batch_data.items()):\n", - " metric = metric + get_metric(\n", - " sim_data=sim_data, mnt_index=mnt_index, leak_weight=leak_weight\n", - " )\n", - " metric = metric / num_freqs_design\n", - "\n", - " if use_penalty:\n", - " penalty_value = penalty(params)\n", - "\n", - " return metric - penalty_weight * penalty_value" - ] - }, - { - "cell_type": "markdown", - "id": "94fa67f3-31e2-444c-b2d2-9aea353eef10", - "metadata": {}, - "source": [ - "### Differentiating the objective\n", - "\n", - "Finally, we can simply use `autograd` (`ag`) to transform this objective function into a function that returns our objective function value and our gradient, which we will feed to the optimizer.th" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "3d210aba-1184-4191-a405-08c12531991c", - "metadata": {}, - "outputs": [], - "source": [ - "grad_fn = ag.value_and_grad(objective)" - ] - }, - { - "cell_type": "markdown", - "id": "afabe317-16c2-4d01-a5c0-6678eb470735", - "metadata": {}, - "source": [ - "Let's try out our gradient function." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "c6602755-bcb7-4ef2-8532-c3690788e8ca", - "metadata": {}, - "outputs": [], - "source": [ - "J, grad = grad_fn(params0, beta=1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "04e85fa2-dfe9-4c07-bb67-447d1721dcd9", - "metadata": {}, - "outputs": [], - "source": [ - "print(J)\n", - "print(grad.shape)\n", - "print(np.linalg.norm(grad))" - ] - }, - { - "cell_type": "markdown", - "id": "2351757c-e19c-4715-8bf5-71a775f47602", - "metadata": {}, - "source": [ - "## Run Optimization\n", - "\n", - "Finally, we are ready to optimize our device. We will make use of the `optax` package to define an optimizer using the `adam` method, as we've done in the previous inverse design tutorials.\n", - "\n", - "We record a history of objective function values, and parameters, for visualization later.\n", - "\n", - "> **For FAID:** The PreFab prediction will add close to a minute to the runtime of each iteration.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "4a24ecd3-f2d1-43b0-88cd-8e0a41cc515a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loaded 70 steps from history file.\n" - ] - } - ], - "source": [ - "import os\n", - "import pickle\n", - "\n", - "import optax\n", - "\n", - "# check if the optimization history file exists\n", - "history_file_path_load = \"data/optimization_history_FAID_4ch_R100_1filter_buffer.pkl\"\n", - "history_file_path_save = \"data/optimization_history_FAID_4ch_R100_1filter_buffer.pkl\"\n", - "if os.path.exists(history_file_path_load):\n", - " # load the saved optimization history\n", - " with open(history_file_path_load, \"rb\") as f:\n", - " data_history = pickle.load(f)\n", - " Js = data_history[\"Js\"]\n", - " params_history = data_history[\"params_history\"]\n", - " beta_history = data_history[\"beta_history\"]\n", - " opt_state = data_history[\"opt_state\"]\n", - " start_step = len(Js)\n", - " print(f\"Loaded {start_step} steps from history file.\")\n", - " params = params_history[-1]\n", - "else:\n", - " # initialize new optimization history\n", - " Js = []\n", - " params_history = [params0]\n", - " beta_history = []\n", - " start_step = 0\n", - " params = 0.5 * np.ones_like(params0)\n", - " opt_state = None\n", - "\n", - "# hyperparameters\n", - "num_steps = 70\n", - "learning_rate = 0.1\n", - "beta_min = 1\n", - "beta_max = 50\n", - "\n", - "# initialize the optimizer with the last known state\n", - "optimizer = optax.adam(learning_rate=learning_rate)\n", - "if opt_state is None:\n", - " opt_state = optimizer.init(params)\n", - "\n", - "for i in range(start_step, num_steps):\n", - " perc_done = i / (num_steps - 1)\n", - "\n", - " # in case we want to change parameters over the optimization procedure\n", - " one_third = 1.0 / 3.0\n", - "\n", - " penalty_weight = 1.0\n", - " leak_weight = 0.0 if perc_done < one_third else 1.0\n", - " beta_i = beta_min * (1 - perc_done) + beta_max * perc_done\n", - "\n", - " # make a plot of density to check on progress\n", - " density = get_density(params, beta_i)\n", - " plt.subplots(figsize=(2, 2))\n", - " plt.imshow(np.flipud(1 - density.T), cmap=\"gray\", vmin=0, vmax=1)\n", - " plt.axis(\"off\")\n", - " plt.show()\n", - "\n", - " # compute gradient and current objective function value\n", - " value, gradient = grad_fn(\n", - " params, beta=beta_i, penalty_weight=penalty_weight, leak_weight=leak_weight\n", - " )\n", - "\n", - " # outputs\n", - " print(f\"step = {i + 1}\")\n", - " print(f\"\\tJ = {value:.4e}\")\n", - " print(f\"\\tbeta = {beta_i:.2f}\")\n", - " print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")\n", - "\n", - " # compute and apply updates to the optimizer based on gradient (-1 sign to maximize obj_fn)\n", - " updates, opt_state = optimizer.update(-gradient, opt_state, params)\n", - " params = optax.apply_updates(params, updates)\n", - " params = np.array(params)\n", - "\n", - " # keep params between 0 and 1\n", - " params = anp.minimum(1.0, params)\n", - " params = anp.maximum(0.0, params)\n", - "\n", - " # save history\n", - " Js.append(value)\n", - " params_history.append(params)\n", - " beta_history.append(beta_i)\n", - " data_to_save = {\n", - " \"Js\": Js,\n", - " \"params_history\": params_history,\n", - " \"beta_history\": beta_history,\n", - " \"opt_state\": opt_state,\n", - " }\n", - " with open(history_file_path_save, \"wb\") as f:\n", - " pickle.dump(data_to_save, f)\n" - ] - }, - { - "cell_type": "markdown", - "id": "f082a060-208d-4678-8c60-9701db55faad", - "metadata": {}, - "source": [ - "## Visualize Results\n", - "\n", - "Let's visualize the results of our optimization.\n", - "\n", - "### Objective function vs Iteration\n", - "\n", - "First we inspect the objective function value as a function of optimization iteration number. We see that it steadily increases as expected. " - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "a3f9509b-2448-4505-a013-c2fd26b36052", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(Js)\n", - "plt.xlabel(\"iteration number\")\n", - "plt.ylabel(\"objective function\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "c9b97d20-1e6b-4b4c-9f35-fc3c21903e24", - "metadata": {}, - "source": [ - "### Final Simulation\n", - "\n", - "Let's take a look at the final simulation, without the prediction model, which we grab from our history." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "a20e8905-5699-47c8-8a97-26db6f5935c6", - "metadata": {}, - "outputs": [], - "source": [ - "# we'll sample the modes at a finer frequency resolution for this final evaluation, for smoother plots\n", - "iter_final = -1\n", - "\n", - "num_freqs_measure = 151\n", - "freqs_measure = np.linspace(\n", - " freq_min - df_design, freq_max + df_design, num_freqs_measure\n", - ")\n", - "\n", - "sim_final = get_sim(\n", - " params_history[iter_final], beta=beta_history[iter_final], use_predict=False\n", - ")\n", - "\n", - "for i in range(num_freqs_design):\n", - " sim_final = sim_final.updated_copy(freqs=freqs_measure, path=f\"monitors/{i}\")\n", - " sim_final = sim_final.updated_copy(\n", - " freqs=freqs_measure, path=f\"monitors/{i + num_freqs_design}\"\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "464a8789-b539-49e1-b702-73d0bdd4df32", - "metadata": {}, - "outputs": [], - "source": [ - "ax = sim_final.plot_eps(z=0.01, monitor_alpha=0, source_alpha=0)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d6ad06b0-b071-4c7c-9807-430795ab42bc", - "metadata": {}, - "outputs": [], - "source": [ - "penalty_value_final = penalty(params_history[-1])\n", - "print(penalty_value_final)" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "6d843652-60c2-4279-acc2-ea2d019b3938", - "metadata": {}, - "outputs": [], - "source": [ - "sim_data_final = web.run(sim_final, verbose=False, task_name=\"wdm_final\")" - ] - }, - { - "cell_type": "markdown", - "id": "50d3fd39", - "metadata": {}, - "source": [ - "Let's also run the final simulation with the prediction model." - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "id": "ca094a46", - "metadata": {}, - "outputs": [], - "source": [ - "sim_final_predicted = get_sim(\n", - " params_history[iter_final], beta=beta_history[iter_final], use_predict=True\n", - ")\n", - "\n", - "for i in range(num_freqs_design):\n", - " sim_final_predicted = sim_final_predicted.updated_copy(\n", - " freqs=freqs_measure, path=f\"monitors/{i}\"\n", - " )\n", - " sim_final_predicted = sim_final_predicted.updated_copy(\n", - " freqs=freqs_measure, path=f\"monitors/{i + num_freqs_design}\"\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "7ba0dd55", - "metadata": {}, - "source": [ - "The predicted fabrication variations show some notable differences from the ideal design, such as the filled-in hole in the bottom left. However, most variations are quite subtle at this scale and resolution. Despite the seemingly minor geometric differences, these variations lead to meaningful changes in device performance, which we will analyze in the next section." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "66224a30", - "metadata": {}, - "outputs": [], - "source": [ - "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 6))\n", - "sim_final_predicted.plot_eps(z=0.01, monitor_alpha=0, source_alpha=0, ax=ax1)\n", - "ax1.set_title(\"predicted cross section at z=0.01\")\n", - "sim_final.plot_eps(z=0.01, monitor_alpha=0, source_alpha=0, ax=ax2)\n", - "ax2.set_title(\"idealized cross section at z=0.01\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "id": "4f1dcef8", - "metadata": {}, - "outputs": [], - "source": [ - "sim_data_final_predicted = web.run(\n", - " sim_final_predicted, verbose=False, task_name=\"wdm_final_predicted\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "d13065bd-e796-485f-8a18-1a55f0ebf2bd", - "metadata": {}, - "source": [ - "### Flux\n", - "\n", - "Let's inspect the flux over each of the output ports as a function of wavelength.\n", - "\n", - "We notice that the ports have peaks in transmission at their corresponding design wavelengths, and are supressed at the other wavelengths, as expected!\n", - "\n", - "> **For FAID:** Because we optimized the design based on the fabrication-predicted geometry, we observe that the predicted design has *higher* performance than the final idealized design. This is intended. This contrasts with non-FAID-based optimization, where the fabrication-predicted structures typically have lower performance than the ideal design due to unaccounted fabrication variations.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14162970-0b19-4f56-bd64-3b4d4221c499", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_flux(sim_data, title, linestyle=\"-\"):\n", - " for i in range(num_freqs_design):\n", - " freq = freqs_design[i]\n", - " flux_data = sim_data[mnts_flux[i].name]\n", - " wvl_nm = 1000 * td.C_0 / freq\n", - " wavelengths_nm = 1000 * td.C_0 / np.array(flux_data.flux.f)\n", - " flux = np.array(flux_data.flux.values)\n", - " loss_db = 10 * np.log10(flux)\n", - " label = f\"channel @ {int(wvl_nm)} nm\"\n", - " fmin, fmax = channel_bounds[i]\n", - " plt.gca().axvspan(1000 * td.C_0 / fmin, 1000 * td.C_0 / fmax, alpha=0.2)\n", - " plt.plot(wavelengths_nm, loss_db, label=label, linestyle=linestyle)\n", - " plt.scatter([wvl_nm], [0], 100, marker=\"*\")\n", - " plt.xlabel(\"wavelength (nm)\")\n", - " plt.ylabel(\"insertion loss (dB)\")\n", - " plt.legend()\n", - " plt.grid(\"on\")\n", - " plt.title(title)\n", - " plt.show()\n", - "\n", - "\n", - "plot_flux(sim_data_final_predicted, \"total flux (with fabrication prediction)\")\n", - "plot_flux(sim_data_final, \"total flux (without fabrication prediction)\", linestyle=\"--\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8292b4ef-e18e-4356-bb0f-ae3ea28ff460", - "metadata": {}, - "outputs": [], - "source": [ - "def plot_power(sim_data, title, linestyle=\"-\"):\n", - " for i in range(num_freqs_design):\n", - " freq = freqs_design[i]\n", - " amps = sim_data[mnts_mode[i].name].amps\n", - " powers = np.abs(amps.sel(direction=\"+\", mode_index=0)) ** 2\n", - " wvl_nm = 1000 * td.C_0 / freq\n", - " flux_data = sim_data[mnts_flux[i].name]\n", - " wavelengths_nm = 1000 * td.C_0 / np.array(flux_data.flux.f)\n", - " flux = np.array(powers.values)\n", - " loss_db = 10 * np.log10(flux)\n", - " label = f\"channel @ {int(wvl_nm)} nm\"\n", - " fmin, fmax = channel_bounds[i]\n", - " plt.gca().axvspan(1000 * td.C_0 / fmin, 1000 * td.C_0 / fmax, alpha=0.2)\n", - " plt.plot(wavelengths_nm, loss_db, label=label, linestyle=linestyle)\n", - " plt.scatter([wvl_nm], [0], 100, marker=\"*\")\n", - " plt.xlabel(\"wavelength (nm)\")\n", - " plt.ylabel(\"insertion loss (dB)\")\n", - " plt.legend()\n", - " plt.grid(\"on\")\n", - " plt.title(title)\n", - " plt.show()\n", - "\n", - "\n", - "plot_power(\n", - " sim_data_final_predicted, \"power at mode_index=0 (with fabrication prediction)\"\n", - ")\n", - "plot_power(\n", - " sim_data_final,\n", - " \"power at mode_index=0 (without fabrication prediction)\",\n", - " linestyle=\"--\",\n", - ")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "09a22b6c", - "metadata": {}, - "outputs": [], - "source": [ - "# Save flux data for predicted design and wavelengths\n", - "flux_data = []\n", - "wavelengths_data = []\n", - "\n", - "for i in range(num_freqs_design):\n", - " # Get data for predicted design\n", - " flux_monitor = sim_data_final_predicted[mnts_flux[i].name]\n", - " wavelengths_nm = 1000 * td.C_0 / np.array(flux_monitor.flux.f)\n", - " flux = np.array(flux_monitor.flux.values)\n", - " loss_db = 10 * np.log10(flux)\n", - "\n", - " # Store data\n", - " flux_data.append(loss_db)\n", - " wavelengths_data.append(wavelengths_nm)\n", - "\n", - "# Save data to numpy file with descriptive name\n", - "np.savez(\n", - " \"flux_data_ID_4ch_R100_1filter_penalty_buffer.npz\",\n", - " flux_predicted=np.array(flux_data),\n", - " wavelengths=np.array(wavelengths_data),\n", - ")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "008e60b3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "d = pf.read.from_tidy3d(sim_final, eps=1.45, z=0.01, freq=freq0)\n", - "d.plot()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "336fb13f", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "d = pf.read.from_tidy3d(sim_final, eps=1.45, z=0.01, freq=freq0)\n", - "\n", - "# Set global font sizes\n", - "plt.rcParams.update(\n", - " {\n", - " \"font.size\": 14,\n", - " \"axes.labelsize\": 14,\n", - " \"axes.titlesize\": 16,\n", - " \"xtick.labelsize\": 14,\n", - " \"ytick.labelsize\": 14,\n", - " \"legend.fontsize\": 14,\n", - " }\n", - ")\n", - "\n", - "# Load the data files\n", - "id_data = np.load(\"flux_data_ID_4ch_R100_1filter_penalty_buffer.npz\")\n", - "faid_data = np.load(\"flux_data_FAID_4ch_R100_1filter_buffer.npz\")\n", - "\n", - "# Create a figure with 2 subplots arranged vertically\n", - "# fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(8, 10))\n", - "fig, (ax1, ax2) = plt.subplots(\n", - " 2, 1, figsize=(8, 10), gridspec_kw={\"height_ratios\": [4, 6]}\n", - ")\n", - "\n", - "# Plot device cross-section\n", - "# sim_final.plot_eps(z=0.01, monitor_alpha=0, source_alpha=0, ax=ax1)\n", - "d.plot(ax=ax1, bounds=((200, 1000), (d.shape[1] - 200, d.shape[0] - 1000)))\n", - "ax1.set_title(\"Fabrication-Aware Inverse Design (FAID)\\n4-Channel WDM\")\n", - "\n", - "# Create empty lists to store lines for legend\n", - "id_line = None\n", - "faid_line = None\n", - "\n", - "# Plot both optimization approaches on the same axes\n", - "for i in range(len(id_data[\"flux_predicted\"])):\n", - " wavelengths = id_data[\"wavelengths\"][i]\n", - " center_wl = (wavelengths[0] + wavelengths[-1]) / 2\n", - " band_width = (wavelengths[-1] - wavelengths[0]) * 0.1 # 10% of range\n", - "\n", - " # Convert dB to linear scale: linear = 10^(dB/10)\n", - " id_flux_linear = np.array(id_data[\"flux_predicted\"][i])\n", - " faid_flux_linear = np.array(faid_data[\"flux_predicted\"][i])\n", - "\n", - " # Plot FAID results first (solid line)\n", - " line_faid = ax2.plot(\n", - " wavelengths,\n", - " faid_flux_linear,\n", - " label=\"\" if faid_line else \"FAID\", # Plot FAID first\n", - " color=f\"C{i}\", # Explicitly set color to ensure matching\n", - " )\n", - " if not faid_line:\n", - " faid_line = line_faid[0]\n", - "\n", - " # Plot standard inverse design results (dashed line)\n", - " line_id = ax2.plot(\n", - " wavelengths,\n", - " id_flux_linear,\n", - " label=\"\" if id_line else \"Standard ID\",\n", - " linestyle=\"--\",\n", - " color=line_faid[0].get_color(), # Use same color as FAID line\n", - " )\n", - " if not id_line:\n", - " id_line = line_id[0]\n", - "\n", - "ax2.set_xlabel(\"Wavelength (nm)\")\n", - "ax2.set_ylabel(\"Transmission (dB)\")\n", - "ax2.set_ylim(-36, 0)\n", - "legend = ax2.legend()\n", - "for line in legend.get_lines():\n", - " line.set_color(\"black\")\n", - "ax2.grid(True)\n", - "ax2.set_title(\"Predicted Transmission Spectra (ID vs FAID)\")\n", - "\n", - "plt.tight_layout()\n", - "plt.savefig(\"wdm_spectra_id_vs_faid.png\", dpi=300)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "5423e5c7-5e00-4a8f-b0fd-ccdbe1afc42c", - "metadata": {}, - "source": [ - "### Fields\n", - "\n", - "Let's also plot the field intensity patterns at each of the design wavelengths for the predicted design.\n", - "\n", - "We see from this plot the expected result that the power is directed to the design port at each frequency." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3f5c895a-4543-4e2a-b34d-3aeab61c5914", - "metadata": {}, - "outputs": [], - "source": [ - "# plot fields at the two design wavelengths\n", - "\n", - "fig, axes = plt.subplots(\n", - " 1, num_freqs_design, tight_layout=True, figsize=(15, 0.8 * num_freqs_design)\n", - ")\n", - "\n", - "for freq, ax in zip(freqs_design, axes):\n", - " sim_data_final_predicted.plot_field(\"field\", \"E\", \"abs^2\", f=freq, ax=ax, vmax=1200)\n", - " wvl = 1000 * td.C_0 / freq\n", - " ax.set_title(f\"wavelength = {int(wvl)} nm\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "96ecd3c8", - "metadata": {}, - "outputs": [], - "source": [ - "# Create figure\n", - "plt.figure(figsize=(8, 8))\n", - "\n", - "Ez = np.rot90(np.array(sim_data_final.monitor_data[\"field\"].Ez.real.values))\n", - "\n", - "# Create an RGB array initialized to zeros\n", - "combined_image = np.zeros((*Ez.shape[0:2], 3))\n", - "\n", - "# Normalize and add each component with different colors\n", - "for i, color_channel in enumerate(\n", - " [(0, 0, 1), (1, 0.5, 0), (0, 1, 0), (1, 0, 0)]\n", - "): # Blue, Orange, Green, Red\n", - " # Normalize the data\n", - " data = Ez[:, :, 0, i]\n", - " data = (data - data.min()) / (data.max() - data.min())\n", - "\n", - " # Apply alpha normalization\n", - " alpha = np.abs(Ez[:, :, 0, i]) ** 2\n", - " alpha = (alpha - alpha.min()) / (alpha.max() - alpha.min())\n", - "\n", - " # Add to the RGB channels with the specified color\n", - " for j in range(3):\n", - " combined_image[:, :, j] += data * alpha * color_channel[j]\n", - "\n", - "# Normalize the final image\n", - "combined_image = combined_image / combined_image.max()\n", - "\n", - "# Plot\n", - "plt.imshow(combined_image)\n", - "plt.title(\"Combined Field Components\")\n", - "plt.axis(\"equal\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "5997d513-a66e-44b6-81ce-ce7b7d59762a", - "metadata": {}, - "source": [ - "### Animation\n", - "\n", - "Finally, we animate this plot as a function of iteration number. The animation shows the device quickly accomplishing our design objective.\n", - "\n", - "> Note: can take a few minutes to complete" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "id": "2cb45408-ffe0-4406-92e2-c2c4c79d8750", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.animation as animation\n", - "from IPython.display import HTML\n", - "\n", - "fig, ax1 = fig, axes = plt.subplots(1, 1, tight_layout=False, figsize=(9, 4))\n", - "\n", - "\n", - "def animate(i):\n", - " sim_i = get_sim(params_history[i], beta_history[i])\n", - " sim_i.plot_eps(z=0.01, monitor_alpha=0, source_alpha=0, ax=ax1)\n", - " ax1.set_aspect(\"equal\")\n", - "\n", - "\n", - "# create animation\n", - "ani = animation.FuncAnimation(fig, animate, frames=len(beta_history))\n", - "plt.close()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fc5bd204-d290-42bf-b3bc-187ce4ffa026", - "metadata": {}, - "outputs": [], - "source": [ - "# display the animation (press \"play\" to start)\n", - "HTML(ani.to_jshtml())" - ] - }, - { - "cell_type": "markdown", - "id": "8dfd4b1c-0f7b-438d-9c06-1abd3c2f8aa3", - "metadata": {}, - "source": [ - "To save the animation as a file, uncomment the line below\n", - "\n", - "> Note: can take several more minutes to complete" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "20b92a33-34b6-4c55-8036-99c19a05d251", - "metadata": {}, - "outputs": [], - "source": [ - "ani.save(\"img/animation_wdm_autograd.gif\", fps=30)" - ] - }, - { - "cell_type": "markdown", - "id": "ddbb4884", - "metadata": {}, - "source": [ - "## Export to GDS\n", - "The `Simulation` object has the [.to_gds_file](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html#tidy3d.Simulation.to_gds_file) convenience function to export the final design to a `GDS` file. In addition to a file name, it is necessary to set a cross-sectional plane (`z = 0` in this case) on which to evaluate the geometry, a `frequency` to evaluate the permittivity, and a `permittivity_threshold` to define the shape boundaries in custom mediums. See the [GDS export](https://www.flexcompute.com/tidy3d/examples/notebooks/GDSExport/) notebook for a detailed example on using `.to_gds_file` and other GDS related functions.\n", - "\n", - "> **For FAID:** Even though we optimize based on the predicted (fabricated) structure, we export the final idealized (not predicted) design. By accounting for fabrication imperfections during optimization, we aim for the structure that is ultimately fabricated to perform at its best.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "9f283dab", - "metadata": {}, - "outputs": [], - "source": [ - "sim_final.to_gds_file(\n", - " fname=\"./misc/inv_des_wdm_ag_FAID.gds\",\n", - " z=0,\n", - " permittivity_threshold=(n_si**2 + 1) / 2,\n", - " frequency=freq0,\n", - ")" - ] - } - ], - "metadata": { - "applications": [ - "Passive photonic integrated circuit components" - ], - "description": "This notebook demonstrates the adjoint optimization of a wavelength division multiplexer using autograd.", - "feature_image": "./img/adjoint_9.png", - "features": [ - "Adjoint inverse design", - "2D simulation" - ], - "kernelspec": { - "display_name": "prefab-metal", - "language": "python", - "name": "python3" - }, - "keywords": "inverse design, WDM, design optimization, adjoint, Tidy3D, FDTD", - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.10" - }, - "title": "Adjoint Optimization of a WDM in Tidy3D | Flexcompute" - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/examples/img/flux_ID_nopredict.png b/docs/examples/img/flux_ID_nopredict.png deleted file mode 100644 index 3b1e6888d31e0931015779e4749be4ec2ec5f4a5..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 78770 zcmbTeWn9(G7d?7N1qmgkL6DM??ozsuknZk7N=i#3sdR^QcS?6kcXxN);rZSF{oGgg z#eIRuIcMfOvG-bQ@7Z&L%ygut4i2{V+>DG?|IY^)Y@jBL zWU_EGpc5opaW#7g1YPg>2PRJ-*9-y!fk=E7QgTV!Pj+_yqI}od!jZYN2&axrZ-r-c zgzB@O{f=~1*r?8B!RJv)-mZnyZW%&Y@?#nP=lgP_BQ;5>S22f8V-#0cVy0;h*=A#` z2RElH(d&!$!{4A#wmUp<{rZ2+O<7-diaqxUE0ifj&HrDIFY!@9 zm#pHeYimC#f{gm(l;_wfDFasi2Ci*v_)|#S-|m&rX;h;~ME!_}sHrQ&E^|K8PD)Cu zwOtV|y3Oz9jj8syT5z^tGuHZD(d)^hBI02y)hm)BNVz~|QZgXX zx;_Z}0V;Lf^ z3a*}?%RG;htr#29Xl8#n;ZS=)hi?4Hrqy*kv|Yo?HBpP9kSRy0HC-NmJ$ zp>eufKt@J}*g~Q0y}kKE-Kw;)oIE__5{k(YS_G$OXI5h+^h5SxqQ2@y)#_fcAHSU% zdOqHmoSvRq^2fFQ0G6m?^mu>6dp5uV@e2$D4e@l~lV!ULN}447$JgXg*g&hB*_zEG?=y#j%3(VKA1tlee^TSjMvOfi)eg6De$?fFnVoC>(*--p< z;%u}We^6>FNjY6&HQ(j5fp}C$Ac?2xY+O=OD20Uk?M|-Xx1~U{@tiW36aDckng=g( zsW`fi52Ado=ekSH9vidw4_8YlZRy%D1XzQl~7;U{51OA8G;*sgT}@uaPG=CEbzoDlfc?GI2d-a)*b!p*Vmju z8IFa|cb5lTw#yK>7ib-mld-^V7b}lMNm4U1-fa%2$`z;-**ZDpfWb-sV)CAz{`w`+ zdC4Qb+2d|?Yb!7$$s?-r+qpbL-ZEbD5r#<8wadwg|!@bc| zc)Tu5#l^*betyT7b2h4+VjS-zFe3PGsh7N-_=+@Yx@Km6TQAg?SZL_3ZEMvsapDUMY ze7fEX4-db*x+=W)ujt!~Kd$ttvSZPop6;#tn=|PIRwNxA9ZfB*orMMti>YGz@tg@S z%Zg(mVoMr-6H&bh8(22=V%1!I`iq!P$^GZ~h44?i* z7dT#YJ6bt9LKhSigh0k~<(}7HI*IdVZi;I#pWEee7lDoK?gWkJ%?2*y8Iy?J_CL-q zEXd&Ir=^j$x~$v)Bl*p0hOx4;LP14!cC(erVmd-9o5Cw$Yik>3cyW2T8AO$`Jj8Qk zc)mSa+t4tzdnXmuF{R@r(;ZIqo6n71;OU+P!q{@pOeLGNoa*%m_P1zkjZv%qv#>C% zR)Z6Lg-7dmn8vF`w|Q5IpI-cNy)~;6dwiHZ2c8+{-BWHy_&br%E~%^ygOoX*p^2l;SUW73CY)Tb>#+r_zceT0PAzkPDFt< z8+3;oooxyFqeZa5S!m@L=tM5dHU=ty9* zc*|le9kvA@%5jSD3Wo_igV=SO46MOl;PrjLq^IlbP4M(O#=xu6toSBGrLsoB85g7WgHpFux* zwHeTqw)=?)rCiDYSPcmonT^Z{e*NWEZ$fT|9>d+6QMmj_ZpLNNB5 z18u{@5gYySES~o+Dn;s@Ry7MMIS+|8%|XKH%R9NLlsr6%U{?|w4(mgJX~vl05)p*~ z2j+1;q?-zC6`gj@mKk}SZ@F-Pyz-ZsR4$djY2Xqpj5^|a%hTgrWfAj#prBSV6+eRm z=*NN;|0Y&do2CMl#oe9u%p$+1`$ePel^nky_ejfnXXD0PJ?WHQG>xZhS#1+a@uS-Nz_5w!AaRT%D>EYoa z(@cUr_{ou<-_z3*Dk>Uab_b|eMK)(BnWx{|+Z*cYT5mS@lU&TuUzlv^*{rO9DoCBr z5D9@AG~J)}Zy4s~N1&4m07x>b{_W-&b9)V-sE3P-E9c;YYHh`o7oPPw+YL}3MuOUvrV4e{Q+I1vSXePLxs&D_z>E4n1)$JWG?jDJo!m=HNc>Dr zN?Hf1CI03S%&`omM+fYG-O(99l3&%>xVZfQd4GZ-UqTHQUIMy)e7KXDW6-Q6<>BG! zuUT+PG}G9zaR>4tj*Fk4Ut5JX_O#vqRllWx)BdkQ#eC_xD)l15w{NMP59jMbNhYJ- zOBtpOG^#qJpc8V+UmhPvGHTY!8z=2~1^#h&x4v)iyg%tS5?pNdXfV^Twk{?lCT0lq z_y4`wbUtrBS8at?Cvd$ChZh+^#G_(e2&|<_^U+Hv!WjHb^Nm^POMYr<${Aj5~rJ2Ne z-cIcI$qSUXkheuN5D5thLVovOfOl5*_AJb&$_&H;Pzj80lMjSsh9kfZwprHNd-H(JyVgp!%-a0?{Pa)q`@)1wKiOV$?&|To8lXSJGgy0d=`t|^4Kg-1CjFGiY9_3tgazaijPBFp1AsCnx66HIPbKig zzy19Mk~fN9zRXlx5uo!PLk1H$7%PUyTEYN+N2l<)#iRN#bnWcG2W%oMJ6nw+K5Y|dXn7OOT3Z-@VIf09!`}zboIW=qXozCRKq2zsAJ;TW-|fH^2YqQ}a-KZVU_@;;*=Jz@V~M zhYLH4O+3xb&6Z2eU>OL*3Ayy^Th;r*ID!@5Q?syOwx07;0hXSBrs?7 zXXLcBe+Eo|Mh^|8+v35*z|fDww70aR1H3Mp{bx2rcQAqN{BVK5#Kgqi!vpE%%jI!7 zfvRi5;(ZP~C^Q4eey{-mpH*aGj!#ZLK6Fjmtu?|_nokD%_`rT?6{G?5XvE*$(LvhJ zte~I(<`r|}1!y(eMl*kaBRpHBz-*@6DE2g#7MFveVKU$qE`yTmQ2b#_%I;%$u~?i@ zpuLi_pj2>Y|!ge7xBr zi5|Z!Gw9w1yk6yTb8`cOtwVTsbu^5t|sLv zB%h8s=bcd@H|<@~hs26m{erVhN=XaH=T!yLi^Xhb{QccImqfosn7&zwHq^eHrOiFC55mdGk8`#grJHtwKdf-+Yvy|`O zp8#k5=zeVrLMa!ZKk+{5f38A8nyWN}6V%kytn_Ja@5d~^TAXJfVD^|f=i76$`-cY^w0Z17ycjR;>Htmov$ITxpi(TgI44CDnWLuCbMXvX>cvHM_Rt3#XcOD#f=LWq z+-?xVSe&x`+35NP$LV%S2gGA6_ltOpH*dV@`hm0`|D#+WIT!1h`|H=+02Dm^S#3o{ zVNFfKWNybl=hI_coPY*n%O}>8EJia#vbXLpPXA#g%ZlmizXQ^sX4^$*@QsufY{3`T z@rIKC4%c(j@6c=n9C~$l-C$#ygUk$q9L0RPtB!MEsdiwC)Frj}-n@CUA?y@Sr>2;G zq2CpX_Z9`Q`F8h19G#kvWcF&?3zEXiAZ`i@zmXC7%cCV7YaJICPBJpGXYCae6Ejkx zBhZ@ny0fdR+_I5tnS@Hf{>#&ZX-LhxX`Tg}~qD{}>Ae)DFl{q$8P-78xWJB+Ajh$QT>%ZGtY&`?LaLnE9-u}5@^)?q^jc~;^gG?yM^AO6bKjQNAaMbpnIUq zQAqe3XEnJoDWwJTmCAM7e4s6{bp4b9H6Y9dVNR<_sz-oI0b7+?wWV5>JqCEC)f?`a zCndzisX0Vx*lsl5^0~5tK8*mJp;IgO15sB-W@f=b=DTNYtDx`(D4weSHUS63 z*)&z0jmPb;fS5x7Qm58#ZF?dg6A(BF2!qHzd1p{q*@=vZ%mx~%cE@58*;)5H0}Ts)A7Cm?Q8ZP>Iy&5=tT+MlVYd$^p# zW4C+@;%mK!+lvi4B&m1?ql4KhkYfl1;veRCRE)$9Jo)Uo_v63ls$4_#HS_I2Un{QE zKYfRR`&y=tK*a69bc5n>FpCZ1v7r>c{)zlA1rNm8EyGD%_HRGx!%JpIfe7UnA36jC z?`VKpGk}`nyV|4MbWOXhcm-{S1lOKx=Lgers^t>jEi> zua%~6fXhAGI`9|#Ughz#zaaJj(!m}uT{K8{097StXh^|gJdih9oBb@O-GSoZy;+am zUucL2z#f^JIt+Sp0h|6DGy?sL0&qirz2~QNGIwlD3>FTfwlrW7JcKgJ|2DJn+u7Gr zU6^P2dw+cbMiwB)f8$5Y=Ne;YSdDlvS7Xxgj3oP1yB5v^K41V`%J`wl3k(d< ze`>K-1GD|6bo<}GK@kxqU_Su&zsS61i?0)g0bq{U=DK@EEJ1z_DD&q&3<5I$L; z8gEBif<(Y!{T#XK{S8oaXl#Yu_dmw-FinS}k2Z1__s*hUO{zbHzSs|^KnED2qen2O7l1Uz=@&V^_Z(KUN=|lmKkqK~sE!t! z8Z^I_(YMcBxHjE`V4xSUYk5II0k3|?%bWQ+d!u%3OiWB8Mn=YO^R;#xUG)dmbB4e; zZh)Xy?sGU^ZiDJoWYcLkennglBzDakxJ>^P*!LZ*_9k-6(#2WY_|AGav70p7%a@Vw zC7AtVRh7$qkcDr+ASkZ(rsSRn!pFzAVYk-ROC^^==e!TZ(E76s1uhK*VeZCJ^IdVf z?Iob9eh_8FXlZI1rp=Bx(IS~}Y~53%ay_mDlB|Qr^#ZkA4#Fy4(7j0b_LQ1J%I9`AK2i0#9%X5J-FX; z1#tU6sl0!1K>sY8fx3v(aX;x~wxVrNQI5%Z$Ih&+9KHl!#U#~?N`(M9;hwWYm^4@T@BS?5B-vFo!L3#8YV3c@) zvfhFt#{en(n?y`wKmzRlBuY#F%Y?RC`f22~j=llN_um`;?+odW>|z2y>zd8(ctGDO zu*&|IFMS~t2U5oNKwlIyr)SB#TQ8q(^!o(_%xa+guM3>WU%yQI5_H}OpVYyChOL}- zK-D_M?BO~Hs4%b*||HrCnvGxm?KzFQS&kk)}MWN@f|BNvLnJJPP(0Zq>T*{ywhipN)CL_ z&K8lcb4bRnJRf5fWIt;+>pAsit8(oUCtCMpvxO6`Tw5R>OyFYqvT(Q?jd0rmA(3`kVFX<~UbB_?>&`P3NVL}i1s zRZ$dal;sr~oLy-Y&6!F-gQ|F<*68w4Pfrh|I03{nULG!3*!+Z7*>qRu&;Qm5$=bxh zjHmp!Z{=-&ifouUefN%;B)8aL`UaSH_e1`C6WN&R1bPJ&>{oXMEyJ{nEdD&r< z7THSbE9|3#rj=n*YxA33@6p=tw)S6k9$FaX9^ufA5jMfFpG;2_hQvQ|Darc?2C|x) zL8Do$8<8*jL~8LF+^q4ZjFGm!`u3!bFOad`GNlQ&&H9mS?=F={CvG18^sBAPlTsi` z^mEA~z#=faax(PC=uHz-p_act=Yt+S8qM~+Q5fMZL_@%yU_+HXQ3DJJ$ZZ*9gkCIH z4D%ZRW^jMFm>NjtnHm~HqFZV3Vl4f@-Zb`ri1)~q*e77pe|vi#c5JYiS6z)$()POY ziKuaPDt69V9VPPOy5rGDZlBTU(j+j9Qg7R&8n@KDl-UXCPO(O%e(Ae+vMPJ&SziG2 zoEzeN#~P7NMU@LGV&~Yfg5{E;b;FK3`&)TSZS+Kt{;+w=^!9JR&9t_l_kyW>a0Gxq zpn?Dk4p+*g%ReWUoQ@W?Rz7xic4Fb;Ch~8suS2@bYu~?rUyWT$tZ=Jkb&-tf+TT8e zT0St~NiVObE9Z`=yIAhtA}(Njj$UJ`squJt;g|x0aoZ&EMZ$N=za`T9&n`jy;V>G3 zh+^suPJ~6lx6%#XDdTV$<4R8)RM~y01>?()d~k?%a(hn`=9U@*A|5Fwf7k34Oee(W zY7#v7`{AtHk4K{A`^$>>NUEEyS+NF^NhGWVwH@Labtr*s1U@w|4LuZ=zy);0yQL)Wl~ z>qviBzcPmx+?6OEWTgLiy(M;U->M09z}kYzLmR5@tq6tHB2{zg2o;A%f zGR0b%yq6mbkqB8Wf@1F{Q(9yguA6U`Z~;^-4u8V_rwqumzpHzR>mOpKAuWM26JQCl zq5ZB7s!w=^a2OaI4VoIX_chl#Q5U^$iyxznX3mLqgXgfm%q5HPNK8;=d=3&;O#2*! z&sL1A%1eRH&F$DB0sYg!XhSuTpP$E4A&-TVK}RdBpyZd4_gX~ZO_Z!$-vOqy)x*D% zZZ5Jnz(&UiBF|l!-bSLhGWBS>>`Hvmcw)1#4G9ubp%zU4tU_Jf%+XA_;K6~2YXX^< zP3fTF!t?FI^9^~$jqZGIeYnjxKiW|5lkrAdX%_|o0pVGG?eAOi^6`DJn%XY01gXrm zUaFGhdytU=z|QP`eN0PLoUWj#*bd^bXUS?_HB0NUiMw~bv;1EF%NdvJ$3&^${)V_( zZc+GS+}}MP-a)AU;c-@#K&c$4AuU{YgQm@5VWE=c8gIppWZemi>lnC&3dy$%C`Cf2O(L z@Y;7aZ-8Ur3CFvezoatt%va#OVRtn3xd^pkvIGrnXPT2(Tns7A4}wc<1ej!)W4=3b zp+J6k3E?=b@9pBqEXg&R?F_$eoA7p-%=W)({tcr31<}YUaxL(q8NqePZ+U3b z^Gik9Ki=U**2Ls^CzV>pFNxuF-lx0wBHwDdMK%H?(}lC;GgUa#qb5|B3S^c@(llDX z(_)ikOB$IAWX;f5o*e|p{!3?xNsD(hMeQ`SVCiM-ZBw?FDdUPMOI*XdyE$8xWJNY{ zg-6p5zw@oUs0bTQtlF&Go}hs~-bc^3)GT8Wy!u|K*p}6hUinn|a=rcC@%d*bdpHhs zTkwywArSs&ALN=}Jq(hQ^1RxhI*KKb%b)a736U-8vRy)1KdJH6wz;<%(Qzx8O1HK1 zSM<;R!hu4|w!S4~jizXfXlP8jVMvaL!ubN8R4bOlW{_n4{xQ%@y0;TS<}-W(dy$>> zIL;ALO*)gkV|v+Q{6Ob?of+Vb=x9uEd}aWgf8KSk2m^6%7;Do?jX9fRlIbFq* zFl7s2eaGgPUW%=^4_Wn9#~*3<8Du37_h$%oRH;~L5eD5g%~m%;6Qj%9sZtW>5S4ij zi>DnZdbhXiJ(S{w*tMh4sEqC0ri^ngX|sJEe?DSg8buma)>}yF_i~9)V`I?Nb>7zs z{3N-e8fzbpZE&m7g+|CXYVO`3Y%R%|Rv!?Ji}?!6{M2C;Su7fHt@*s=PQOc^-A|~< zEf7#B->%#rhNRZ@)I-%11uMZ$nkl$?s~R+M$bCK4?Z;8t*clK+`Q;017jb}=r6YrkC=1VxwYYUxD z@%a=eu5pia!{hX;x>xf3XJEMW!{H?)5)x&vIh*>Ac)X>&g9z!;ULtTn2gQ4hB?@Or$&Fi^DzV zjO6>pXv&0HScUl&Nw(wC-8VZ@??svjH zwBNXz5Oy;dk@t5!Onu;2PLHHWnw(;w14eVRbiRlcvpwy?{2R!rjqu z`j&cBAHL0AJFFJ>h+Xq<8ps+G33s&~t`CM<*r|ry9pH?lTEjemgYW62==<2(U_KhJ zilaXMV8>2(j$58Y`Ymp;!9=xYQ z$lUx8p0U=oA?+WJYu)6w#-ApTpuI`c2zzE~8$3+pJTGK!PRrPIj-gttnGTYw_u%9g z9zoeg=Cx9UFj?82CjOSuuNk4k=UiwuK4j>~P9$F zAR)T{5z~$ZQNO8dC)KGyM66dAc=1(z6noWvI76_F=x4>-@q1a|&|3|jtqHH542+%_$4)I-7zE#e@SJ~ZZlNq(!d{Ig!bU?=_0&94CbJhwj2ji{U5rP7MM5s^v}7cA9bc58MdpI*U{RvLZu{C z8h`di`6Lh)AbKeb154v;0dD$5G_uV9KeCdGW_nC?1mmV!5o?=*imp z!L-EV+yyvQ!Ij=>&FJ}o{PZ(P4gXxx5Pri$q+@q&F6ob#HDOR3E!0KyoPTaa_ASjpTeyA zwVKT1Bx*9gv4^bkesvV+(5%|7#78oCe5Gv^e?e%LlI~Ntc!>sI?fWm&+>xBwB*jQ= zGn~!YmUa!x+&@8#TcDk9^lCY)kegzDbh9>wV9Rx`(~7tJ<_)VPDhb+SWHT9?swW*+ zYV?wONT^XiVs)O;EdGc!x=ihvd81%LITob7dqRmyp^?_m2s!ec`>B^eC(=ZBo1C?TR^M!rJZJ&?U{o%GVr!>?Kh zx6X>ns!5m_5#qwwY58bze;p&t*JUJ)jg!8;MybTpqLN#RqBt?UqB7eU55_i7J=P6; zQK0OKkKvJUxsqedp-{-US=K^gFqN&vPQqev1C1UVKM&)eRd$6pQgHp2es=QFL#4KE zg~gFpQb6E*XUEX}fo-ch^u1?avf<-7<}I&6Ln$rDYEXCUbVt`7L??IT;=bPB7`PgD zJL#i8u)_Fv@S~BJA>nDB5TP~EE7`dJH`W|l9+aJ%rQ!B(CEJJ{w27&IE~&jx-DITc z4cPbr309B8g-VVO-Njk4avuu9*Iwqun&T`~{zw$I5w;jPy%vawj*Ql=IDtOihOBce z!IB>Dj@X%x`cN`9iBAYBH#|G*L ze=+qOKW^F&JRXuFsPlP{-+$#XfjrP6y|5_+X+6xp>UJi>n?1|}H!G1=1%G+m+OK>t8KeANTJ{rDEPo<;WO{ItDf50l{ zb6Z_}QeT-&a@^~gYld5ygrb6SNa^+1R`k12xxeV=ueK6jxUR1KbCG^xGkUx>1rm>} zM!b8#<}zBph820fu`*tC-J50%8lzA<$ojc2=L1s9^CZJ zYT;S+39ZTn8-05v(VPZ|C(hDjUQ-O|5Hc*1Hb)okw(c+7XNOs`jjRm#$_8}$%5bc- z?^72iV@c&uKhk`2zl^|s@ObpZZYGA|S*+1c4gY-gBJ@#O4Ji^@{%_#{C)o~%9%Z}4iX5SoLf`mtg!JzW!e+&WG%|P7fQ&*{VKZO5`)A2>{MXw%19#32 zEAsl3U_EPObGO+4h8KLZS0j`N%|xZ$}<0s)};*FJ55YckTI=Xp1bf$gPd7s2?=0 z*4B!i@dRZTi~0fHcUXQ`Qp_b`{S%EU)+fG8)ZY0B2OM`!Yw!kAfvjv`Gml`|P-_4c zVur%x2y6_r?`sXR?m16dnQZdAz)lXr`wUV(MEx4U1`Uh(PE4)T*1t2pC-mKGni31l zLTbSdBGOAt$%IyDT0Zqm%$8Xq4_RI(@1YV%^)Xm01DeCO;o)6ex9ZilR>H7$HS@t1 zsf(=NRuGaBIBGH-s>OI8Sus!$f73`kZp zGYrw19GY9uh1RccM=`VY4~Qg23NFUcLx9CtE8oEX%RN5UGgPDW+G8JzAQIc{4*7_M zJEuXHNQRXv>LW}xT35$WEGxMgZvJ<7#^VQymWKe1CH@|DdNUHQft#|m9<`QqAqFp`&RlQkxjxQ#{E@-% zjm3~f1WLFesO$aBM=k94XYNPPLc+>U;X4NU7Gu2RSlVs2SHv@Li|N&vrEhHC9l%Fe ze)D5IYtHH*jkBe1lUnOcwmO7gJ|j<^+TP3^?k9J<7=~Og+Ly?zV}2!(>9-YbxebmK zc@n{XD=wk`F8=Y11S5CY)V438_KuC|IZS;TYYKgGp-Pm^J|11#lD^|jo`iRquoF2E z4M-I2Oy&#QThloTE%^4L9XEq_)}8YVH;IL@-r^=`19DC6F8|@PIige@$E~)e5<^lS zXQ%f%oH0o}D5nm%cTalv&USBUH~<5=FpNUNC7f8MU*M_ZX(cdHQ`2_m-{gAcdjb?x zVI+)TIk**fb7HV0TmL$FW}uYV{_vRfex=Je{b#8!>DCsT^+43jGn{QtOOtyG_vnro zes6kFuY?*v{$V+gM|Y2Bl3k`xO8+l{0m9wm&_jV4eI7E22}!iU*-=?bqGKpszu{vo z24u4T-?{96T<GW$s?rw&|>M~wd;0Xo{}QOXQn=XjZvYNsPWE5ZzsQ%f$+N5K zqdus*U%o$r3ze;V_o>2hbhpa#$C4n_6Pj%W<*=dD+mwc~TjqW0g}(%4Mw$(dXP&Z3Vs`83zv2x2SxnG!;H)VA}Aqu|xZqWwcnJY_{uViXqAo1<0 zC5eFdSBU-Nr$Q%7Tu%dtJFj&?x%JRZ)p^6FQ8 zM*G4$sR}E+fBJ73XmK&1n4D4Siy2=^EjR*vV3lMNSLf4xi72opIAVy2ucZ?{Pd_zN z-Cr#o6AGZkNFrbE3qc*L3M_?B^0(Y;xdO27Fcid(cj*sY^rS0$>h}dvtO)!PqoYE8 z`xDkin$0r2aQ1ieVp|+Qn9Mx+9v)qy=2^U^e<)&odqSx_eInfCnB(A}Iaxf9<%$XM zqI%S__Ik_-gSeoPP$s1#Y}i^)21nK`QLdIavU)r?PI!Ayk{EvKAgWAZ@eq{a_IEwI z;ajN7mHXAy`DWrZF4cSTIfAp^d)I5l8^mCI6^d%MT+4A#6_nfK@i9(5BAU!EzoH^hfH-nvA$?ExZ%)dZR*4G2-$B z)(03UtqGYDrjCd{<>*4PQOVg*!7&59t5plx71bF#vlkG!1k}<%rLcgM9=Kv0e^<1Kx{Jj}yH4`=uiHrZx3sDt}?#PHtwP^O256 zB9-OaQ|wi@iJy@EL~sl5;<<%ve%0iL?4<_6Ny#JzUv%zE%)+&Pf1Q3kjp0n??8

3y+e+ABPdgxGUMu71#NkWDke|1~B;&4>C!3{ea= zO~<5=kfEkg?K*P;>q#X|UdWE!PzU~K#G+r546eidAB>gz2L@c&A2+z1D62!}Cg+I1 z5xkO?tExn^x0?Csug?#yYdMi}rviSwb7Fx6{2+6R>wr<<(yEBcev64`-BL;Px?l4W zAb})#Arrt>zc{v@+R^X>XK4S+54^IaIV-!=Glq7s=k$hZRSsq^)Brf;J zrcOI)*vv3Vxl=pIcY#ceowiO|i$Z>Cc!ew*B!ALmk2AjlOezdq^4FAokua#@CP z3!!}d%fIw``VDaB+4dJy**+16`|ShXZ-jTuS_v1-3kf}=#BEQ?Dp=7ZN7w{Ns)PrV zitWFCbV4|k&ET}rN{>>ql$`E}^K0o{GH{@C4h}A_P=fWo0aX>r-%7nWKg}V6y!GH> z#!E}-?u-YBCH0P5)HqfGG8;f5?8Pu|a#?*36;y zHsjER2X~#)k}KNW#*7d%>;=5DsMCpFR{-AmO*%RVHs>_{h>E2y^H(k$55m;*=znnfKYo#EdXL#s`Zzm|0#@ zvc0MOfL=B;Q$v>{x^qjiAHpL={(1r>{d(dJh?bDfoDCFfjNSQ)UL4}DXiw%{KYX0N zL>tvs=bdEse~*YpX{h3rl*UWtxpE$00+ZPiB${7VAsB{kbpO5)IZYf@ECFj;gU~xo z^hbjY(aPFp2T-mjPRb!YMO~tH41~96hH#2^JU>pOxFRX-sL4W_-#lK%4V`c{cz?lt zL?p49y{)dQVGYA@lz+WNOw{RrZBU!Xw@)7~C{Kc-Ftz;oCEqeBoYp) z^mA5G1|rA|WO1-9lZHG2Z~EFrfVf%WTJ)=*+$&igE*NDK44i4S?0DQYVy%usj>oK~ zFK%ujVA4MjO-{aT#HxbQu7I72z(5!LH`Bj6n!2Xs4WgPzabKRN{62t~}jc5!hT$&$cy3n6>0Nj~~(y-4Zg%|y5*hZjSBSbXun=Ar{SnYB;xDY8SU zd$v3CNXm)qSop|6{o$Fh)b$^1U*jjOo`L$zQ*g86`I=jfY;qr_9It}WB)E{I|9tB# z)gB6kfU=x)P#|9Z7oRYDX;NirCT(gaOGiU@k}DE5598_`%zK%Jgxf{D==NYZiAuB8 zHgb-t%30fR)?wWl&AkQRZ~XMW{pM7fhPlXhr5iW4=&qXdmKN^UhHI2^?8^cvw^a;t@cVJo(LHf(8!#J3&z)`1R3dkvA$T z3RE2`WOp~7bP>>fElr!h1jVS!ySwI6c6;wZpc*bPRYC`3)IBs! z!8iuk_#vC>?6zXoWXPvqpYEQhp{E6v`JAaGdPQfmUJKmr z-dJ*Sis8AWUZ$&+;nE3dTpa2%sJyl^YdOz1at#yT=5U`_E z&E95X$!ZUkxu#aXD!RevWGj)>wL%(DHP&FCQ)i~D05xQt!Bh4 zmS9rqUaTC_KyK8T*|3GazUk3-Q1gEldT37yonL%q(F300S44lUU8p)=Fv=&yBUJYY zp}|5`_bG)fyh1lrm^qzP0%UNae|>isot&(-@zAiS;hy5UO9N^$Rg4nj=s#%FZci5A zawms_@=5iY;%QvL%u%I0to+Gc(QiI8yKWz1E*_Ow^d^r;_;6+^-eDW2)fO-5k~n9; zE(A&RuIcKdkdg`Ev1_5?ze21IFv!aC$^1|&AIECzfFr@pwaQb4Se z8`6{tg5*Ua(+8JzXN3X+(2FkKW^?ZH`o@-!ah%V+J(AkgKb)VqWBEWz`u#hkpV^lf z6k~$h2D-XwvDp|e&A$sH9c~P-c>a9s$XYM^z`kG}EcYo_T(zTOE=7cKZ-&(lQ|KLY zvFvD9r(Vyn7}QY&6VH1{msA?Ni~oQhjgq9Y#s$_}ZNjayTNBjD41#LCx8QalF){J} zVpAejii=OfQ8NJv2??l9G7as4#{T=k|HhMU4tuzG`kWi9uPkUV96aY_^!oKSEwSlt zLVIR6#5O2gRFSq#H_iVK0t5i+7kS0+1@$L4qR50Hh|#U`nWLrP9vC7j{^tg#gRix= zWOBSG@Swc7tj5%*tM9ktv7YL+o1TAzTi_j;ge}ASh|0!Q{COAh>AVs$ASvvsYU&l@KfUR zaCl{r&e`n?+QsIx2yPjQ)Z)YAt49pxvdZ25Nv|M&=I**zTg#J#0nL^s`S|EU;F9Uo zuaDFo{i0)hBZn|aO0u7CKF>%nd$+pdhl16M|Gy?$X||4?Rc=?%IVw>ZEZG{^!1OjcM=S7D8YpX%2iHcJ z=$BN0LsG(YjK*d?(5NfmjsJ$rt7xmQeX4h}i+T8@<;xQ}15a`Id(4;S0nbH$ z8j%i@y(~=le|p8B!>VrEOkRB8SaQl+H#~%{zj5pcJLTYnPA^4o*(#Ls-G{bfC>zdm z_;WUAL&I6x(*8g~c>A5>vbn7~WN!B>vv->D|Hh|U%wW%U@YRv0RU*HY^lzIV-CW=L zGD!Kh8pG95-4Yx0R65(Qp#k9P*q4Ds#$Spdy-H zWM_F%+T**7dN9M0D}^;LmTf2H6E0G$R9dbW=#TY#!`Yh}@(FURdKus1EAJ3-d2@?k z1AW0bh19jc2gi7ZYpjlgt! z6$9OM?veF-l>06gnVe;D?dSQ3S3jXdfg4Xd=ZL!7r~0?$-7I5$I0dky@Mk-+h&J@3 zcB27FhL2fcwRWna`BmK-Yhm$Sd$VZ6x|yrd_DIw^l0v$CN-!{!)hD*6X(r=+Qk5^^ zFJQ_h-oO4D-A>n2pCC~y(Rm{a&(^J!xhMKW9Ffzd`euyb^?#8DtT$VozVvB;^BI1i z+8!$NmLfDrs=o$Us!YCteV&Qw3{eVMm#RWZzp&(C^u$d1<%rb zP~wkUIzAGD+ht^nBf)!#O|{7}kG0|x4(u!A<5TasvX!E~E>N4uug{?e|%0GEd4wLdwZ8SOVEi!Y4q!~!n27gf;3@;tUx8Mpu8OT zwuVbG(SnGthxMZR*6&CN@4q87;HE`d*Ba(0eV#!k(C?eplv!;jpiy=Y&n2pRV5FL7Mx;-W}pyAJn!|7U5uB7B7Kv$pFMx#IFDBOquX1DXGrDMI2xKmC^iT_ zO(xc}71av0x7Zrfe@64h@z|3u50D#2I5RsvmC|KWTDs;=ijlQUs(mA1B0y1wLX&6m zpAX{Dlyz|6O}rEJvv`BdPb_5l33t2JrOqY9v6t{w zV$T@=Pf!(QXDjpwPQ+W(A}YqD@>;2W;(gRxWOyI^=kMic#m`EGQ$rupp4t^t6Ibz$ zlc9>9abTX2Z0BN+KMRXX>cjrOxH_w_D!(sU(@3j;NJ}H#ozfuP4N}q|-6imo?(UEd z=?3X;>F(~%v-ba-t8>BgaK~ovZ?84ym}9(?Sh242L!M7-+?-=Mm)3o4m6EZ;iI;1mEi(a;ZojTgJN}T8QAC*Y1SkDbbSAre)DGNQHw#t$a zozwi!4b}okIY3QUv*#*LCGV`W;3qd@Pw|Q@yKH$2?BNrCw~|27or(Ae0uZjjNTsO3^qB0$OJnT$TjNmFUL*Tbzj_L`Rr zP`sV~0O5_yWNjPly~5StX&#oR+&8T4cFE+E#UtUpaJ&G(O0$CDf@f_DP=3|56r*`bjN?xm9F+(tihltpF8^CvgFzkVPF z2Unp4VAgVzayCL=`5;{4q-k-^{jZ;1Am6Ep2F-+Vdyd9vJ_L5iicy73 zXni}7vWb3lqIO7XJO7-tlh%I}I(>j%BvO9b*L*KR*-1;UglYNbu9Zif^o zvnMcS-)W#}mWa*lm#$Q(Rn)p?!uV1A@9jYg)Qs}DHpMsK55*7yo*8``!7=$q%(8`w zTsyDua*HyAd=uI#vH6gNn8(`>qmKK7`DU55(mu&z$ziWfe9zu{62G#$X}pl(YK8yz zw@I!olFHSoxwL1Ace}R<^t3%fkNk$#I0y{R#@ib{~5rO8&8!Pm%-J zK{oR3;k7%6E(WNTn9P>z(&@LQf%NV9qzvP~KY9M*VnctKUdZ-deE&70Upk27Dk*5> zP?6+z96WP!wTK8GBfy*ABy?wgmetcpRl?>ZeUFQLfQeo`U2E_c1_~s6)Ye}>zi4-{ zCB zeZgBwddskKWe)HK&~dhzXbV4g8qx{;vj<=h7HJHF2T$;e zbR;bU!|#TMxhrm}zNF9fd3ir$#IL3`{-2+}@4S}910A_qA?*R1yOQunH4*#4;u3QX zOt@Nxa$@xePjB=NE=?w4nVyWaAu^O-N(WwMVjW*5Bz(hc#(*q`uguCNCZ4iQY<|MW z>0%intrV@A){~zm1J{V4I!{F4lJWOpH@&Q43=Q64x34^8?EmYF|JWp*T|+we-zGJO z^Oc6M<>gNJxH;5x-D?|41x73Vz)F71gyiFk)uSlhrIkyF@Eje57{-|6KJUWx1a0+X;K#@Bc0vEs&9iF9T~zHZG@? z<(aJ)YG@W~tmY?6+fvxfJ6BpghOA`dJMmO zF1olJ%SC?E{hC}*VLf|jsfyc331-ce0Q~_1aX|~xhNZI(7gd|nX(8wwr!MM8&2M%) z*h_gKzM{jVl+nwqZ-gRXwKIK49QMlJRZLC6k2{O$X0r|)J@1&@+}xl*RxE9A?>j(I5di=|=fm~kef#U9 zAd%ZvG%|MTgD>5XPI9~N(W*CM{`>kiuc$a_R4w|?r!R>cNgv-6dw&!$%x)FKR{2?^ z5_s)!$L7qijmyfUuAO`6uH)G;uzaUyY*)?<2KWo1iBV_>so~kId*E!W)_jHW5q&*sFKR{zjuhqrPh|0?l_vyhvRFhc{~#4vPFIoax76k@0wrkJ-4qw?g_UA zzSJ<1w@CqA)B=EiBa*QF6$rE}Koze#Y97BMfB{6hKn_bhb^~xMZNrSjQHOQT;jy z2*l6LzZ*Y4p)?Ii6~e%rwcchRFE%)zMx53>LP_dg5mo8wCz2u;=S(kb62sFhQuc)* zv+P`OCr-L%#PFx_eLr4I`BZ<vrZlPHOk5PfOxR0^TEIDH zFYdf|pVJ5d*=$#O@m@AFqH`)1JOMvuN{eXE;r>nJU@X-m1hrdSX6N{adDG%dUVf%| zH)tF08tA`(EsA}Hr%Yf}bH^pNAa~v<5S=Y#!1!~+h$@94Nq$bA_B?~HXwX@j5e&uU z5d-}GV0VI(qnM5}fndgcGCF=Lm`o;{^S<^z_kH;rkj#G`-`v_H|+(j*ohOso)vln8Jn{;srUDXdNQ6gEKI;LAm)5I49Rg_|SNQRid8YTs<5Cw*#K`;5c>dEZ2h zh1i{Kdx~niqyelnSrd#_K#q-c$k(HlFeF`(Gv``sI8CpPoUOoFhkGU^aXK5KBDJ_; z!_DayZa;Z`O)n8zrUFYe3n0;PbXfJ6fjZ1;u`b;CctN$H9mL-F&N^T{Z|2SDberNp z=pChJ7oo~q3*Ps!!w=ZLC^%>n_VItms(sgah>79?N>7nxL6y}OOG-n08S~CeJqEJ6 zddOG?h0iX-(&KH(<>{xa(f2rdkp&K$Qp&c97oCUaHt4v28op1JQO65?`c9p6ym<*S z?kdGsI+5bJh5(cSc?GraOS28fEe2iyJgkLEUOd4Bc(f4A1I^hSYavKL&a z(?weer6M38Eauo49a~!t@y$PQJ+A$BX7!rEAEYdGu$V!OH0*-v*QjejC&!5sE(mlq zYKv`RkaK^KMqf0V!)+Il)iY*Jb8&@2EwdH_0G z#+v!MQdl53m~5rZV)30Bh(Y_ja91ZxqM2m9X_2jzeU~ILft!1=PN3>CvpI=6N*bNr zK{UNLcmaSU5Io&G0Q{+Fe;JfvZ0+9Y3B3nI6G-eBkh&-U+^;IW6g_-!45J;9SQKZk zOV?+mhxm_=K@?hi-PpuVsCFktLYqEb%qPScv!yC=K3~G#bYM5%!WNxPtxHmg2;Q#IOu@0c z^G#?7GYy z@a@->(b_M)Ww!d-A+!zeq+rGj-jqG+sJ`=?wQ!E#qg78KOm?zA)VMqS;;gq|?nZS2 zy_fOJO#AS@_v@%X&1V72(ztT-<)+bIETDz)7e#LX#lR zb8g4V#@tWcM3+As!^l9Ks?e2CC5Oh=0TqH}hxrqJttRFzMoA+|#gv#xbP@lqk2)?2kW)1tIO9DK8Ds$i* zxNtfCG80<7?9`b;wSF2HrGDF{iX1391eLq#A)Egvx8ssjaw6nB9XzUe+;n} zPuA5nJ^b+SNCsFGpqMqkHR>tUPgAGqCYWgH)}zx6v4AS;^QERSW_cPK4o6nvwdkW* zY7SoUml$&K;K-d=vdl^b8^TS}-uQXOAr_pIw%|@!#P2uf60WGVUioL@;dM|qK4|^p z4nex2|Glx>{bowiD26uW(qrM&q$J0@cNJR5&i^*%;eo{rJdw zflBIq`Erw@>l&1~zNg>g2q#Lxen(PQ z-^Ny8e#67Mt}Aq-g8zoj_YoauHy{*7?SY9ksbSeI zaBY&4iw8xrJvJoh(KqrRID;{E**H}{IR5%I+R}2!BtFkoic*IgfnM~juh1u^Z*?2Wn6HEYsSx_p zydUc@q_JpTcF#E7+#fzng(zUoyYfQS6!?#;0x*S|86hLtQc{R@Fnk|^P3ntu zW&Qi%cA_(W_-p9_BP6SdJ^(O3U+*6Uf%|(8XDL!Lv!91hf83Q>`@C_bok~C;1F&9L ztQXiGuJ&O&K>SU!&6C@<9M2 z6{2iBZFh^0=qtpX)8$8U!8kJ=Gt*&XZujXK=)LmcR4|Ah32smR?bjA%ykb9See5>UQGHuOTF6-@Q z5XL=HEZz`bxYMK8B?*Z~K6o37l?hN*;Cc)FvDp4}Ap>|I|NAR`<$jJ=r*9O@Sws?V zj`56>99o65;Z~buF4S<}L8Dces%Mu+&EuP0?yPWr{`1X?{@KgYaFXTB%A!^PA9+?< zbx!}BJKetN>$$04M}kJ)9fXht0f<5*oc*Z+R<8#~9_OQe31Y8q(BPR_` z@#69qA$!b_JiqLEG?~+9y{?_e*N$Sub!mD_Nlm~1gf^AbzllTlGzGmA#!Vzd6lySQ zxGqaTfbF({HdJKF9vT)+w9sLh75%3hUXE|C#yvIJOaWCeDL*fZF1*>fAyEQ&NPhqw z)N+utFvzaL4jg^|jr}s~+a?S{rOkY!xV{tg=<8<;;I2i)o|2ap?NtGJXi-y^B!buv zd{(wnZ|r8rr-zb-Fwj888_tc#TdAvoAa?_E2itTx!UWdSo|T-?@A1X=%x~s+Ramj9 zabjc9c3iK)w{v8qylVKE8ArXAR#D(axdXg6)${^DePlnl1N>Z?fl5qB zcUm`S?gXEh3jb}LE{L_+aa8c%n~Uco9*A9hk&2mPcX`v!zmN$`^d6x`*g&nO-9BR` z`JAOGzxkL>tWj@^C=O80wGtT3@g)rz8L}ReEA9Mv`ELf_PNRWV0RlJ%9sSW_eZ?dP zKr{lH4^EBkY6hU_Xp0F6Yo3I*Mf#lF1>+LZGREvr)4_qt2{!6sJ-E}nvMz4t^c)G6 z>QR6&adJFuZnJt5+Df^yYK%-AesAfw`yZ9hZ{Hk+&dY$#Iuy6F zV;UVDH8wT<0i;T~G%jJFg}OZ+*9TTahMzf{m$*tuz3a9PNDCb=MSNj3ivd1kLa~$h^ymK>+ymv$wkcjp#-n5OP(Q?LTy%^SQZ0_#%0aPi(mH>#vCV=b< z0FQp1onHV~ukoDj+BQmn&^BQcF$x{7ofP2;*9e-QgU7BkU8}XO+x93qiXIpxH{;1TS zp{xafeVad_TIz9L%kdYki)~$rE4#A|;8Ym`9@5uRM9Z%5_`DYKjQJbX#0!Q$Qis78 zOX8d8kp^dxKSL3-m@wO;ri>dA)<8q{Ll`ph7bVZ)0V*=7v%H9|V2I z$b>7Dx{7!$U@-qrONp7wk*U4srMEXv_v+)T;XHygyXZ%Umn84Cq2Nz~ggJw=_wQA@ z0`P?j*iCK9sT#OGn;&d{RdRl}J9V+Yvlb$s{+1ce=8=HsYgIkDbAE%$`LA-p55sld z;uK%EE{giL$Z;=|drI5u=(Esjh^%XZ^fO(rX5^ua#BUOv+q(77eW00YM^rLS&TEe8 znoYlH7TNhdN15DtlXf{&L(e%HVj|2dTr=ZfWIY?O6)_Hr%6-835URlakG2Q#)6(kq z>tFH?N0Zo$C!W!e*5|zDfUNxeBnmanA13o$a^Zr{v)&S|=%Y53rHqKb_l%2r3Wz=n zw2AlZf)?~g4YzZGxB|&82VOi;KIWD8M^o$I;Mc%xMv*?LZBo68E&cU2r`vP&Cw(xY z)jPRlxpW_?Zk~h%&jX*_Gx{#a#BPVYYvB?wAZ*(WuG3&JyNbQ99}TX_#k*Kdv2x_W z9n#FCbc)PJ#kA~+dUEo?TT+Tv(ed57?;Y7M&EYsCT z|EZ(&t$1RaK-VXs34H!=&G4`}2Ij5#L;T~rib;*w;%(5fym-WvG?1W`oJm@z#Aa7w zSG)1Il7~$kIxJ#|FY2iH`Y=Mvw&(%cOQ;<|D5`?BG<+>*8J>txMIOjeK3*Dmr<{p` zM8OmR>%;mt33&wT>d&4V1alj}>10qmp`uFNOgA*F?G=Wy4{wYew^pv0J%yiid&w-P z|EJ^2C#f~uZ=UTtNL)>m@6QP%fc(=>K|#&Or@&dQ2$voh$KVoAS&cOfJ8B&iQzBp= z14s7ZOO#te=id>;>a0^3?~jkL%l=LC3jHZY(Hj6&`C~>;9qw}8EE5c`QUN;q$9gAx z36cvx(7p3)SKAtznl_G)bq(=>pYvHCkkDke{-AgW1P{B~*}{13LcGIJ9KE)s&W%I1 zGhLE$79o@A{i`>eX-{S7a5hjnOBjh5crwJ(tXk~nS-O=}*=^-FA9}uxn&OpVc#nFk z@^Jb*p2E)%$$ZI=x^uO_Y0*u;+dFl5s^s)TOgxq-DOo=ylVWldxJrWVKO3^*x(?pf z?-m}f2_gM)sP-k%Q}1+An{R3p7aT8tw`O9G=|iBxhB{W|{cUahzFi`d+BQ}G0;bxj zT~If^vB&rm|MLU*zb^sja&uz?=6|&*=%E47nFEjj`M_ESHS9{PGPR*RsaV&&?BHUn zddGbw;HLcgY73xu8>Z;`YWUPCZ2y;U=ynfL9Muah5q!M z$6M<00ocXqYmIUl{c1`~U05@J9K;Bh!9en?W8tNO_kk9JzpgN$YA$Wn%~RvjNcFUh zu4IyVi_vsb@N=<<_i!TGn}cLD1E0LNevBX{l7GDBaBM>{=6~YDtfFCrpL!cbj^w29 zsa&^dPCM?$&xYVRfhu_eqC|`?`Kd4;9PemTlhW6h>07@0vDo1Su98X8g==_FI(2u8 zl9G`@Lu{82hGsIi10^WT5dcHJzSuV(I7NLSzCExwL1lgvJP?3)lk~#N%NeF6PM{6n zGyit{1J5#&Z|vkR7lhU>AY?0kF2)$YOm!xv#=^?`PTiJ<{wNAPMI$AM=uXe&=BvIb z>uM$=O_;LysG4!-sBXoh)#|tRJA-fTb>T-+V#&hQeRbKNkEkE$R%x)9PDH-1^d(sx zS2VJpihTMmxff!19nkx;fgZ7|0i*b88}J|^F}#L>$RaBKTOyXIq4=;Kdm+cp8E~v8 zr>4wTTDb8!tkwW^5UvAIX*<6>?)19?8ex(ENXcr~83Q>E!W30aaRfraXNINq>*V*Ycwa#+{1!s#E zen6W=A8?866G$dT=D?srTaO=JXVo*M6#BQ7agQMcgpGdM%v0i;=IdhbDF}B-mEJYB z)xm>m?eZGmAM|eLZGyiX5ZvWTi~;#<239(rx0MDN5^VtoL#b;=fQBXKufHAN37IEO ze86$o-Y>96w*560fRSZa_B=AMuzOh*J2aPGlPbZ>AELC{N#nHuYpE|`?d8=*)Dv;5 z@H0rYEAic^o)gV{2Tp$A`>t6uo1QX#ifKrW3OzZ>LIU4?*aLyF~ zmWAK0vz@DiR;ShZSQ;2SYy9Qo4lP1gHspiRP8CNxEG4R_69{-s11|`F(vb{vPI* z2Ku49CdPf1xa?#$`3s-YIYDNG>L(K61-F+c*1Dw^J#S zxf1n6O2ff4u)JpgmD|Lzh-*#IPe$8WbwQ2RQd74w1(Sj*D(d4dOGH%n+Zl@TlBM85msv zUj5yD70k#07X~z>F2yRIfKYB$rQtULu|faeiRl%ao$+FyWgBy6==Oq-y*K=NjzEzy~T)R_C1&7@J5)#VO%fdG4bAaz{um z^8GgYr(?a`#Bxl``;yVi7xsd=__Y5d?BH@GYJL>DA>47h61WEtnP79rh(`vsd?U07 z{3)*6raRX1t?t={7v}=?PU7~rdP7CvrPYcp#H}v9w@ye7%V5380`&^L zmWP89K<3N++&Z!9E1p|qmkIXC>?4`VQr4t&m`Mn3+8r3azr-}(*BwcV_g)=#)es;G zsfsc?g|@nF#g^`qdT;aavNF;^g=%6a5vP`cX*uE`nuQ33lpF|fx4|i94Llesf*1m- z!>Y=}?8+V-R0V}U-|FA8Tw0v-74-P_V)FS99)oIzLCm9bPx54;G4$VSZ<&*T3+mCE zj)AaPYEnXn4CvHlUMp{Xyn7zW_aTNAId;W7_)kW<#G5KRpLed)ByK5}t*MmJm|Se= zc&Y)Jlo2rO_g7a7qZ##Dk{H|W{J|6#0Di+FlWVhqT>hrgFuJ8H7-MsDQyHMT-lnZ0 zBPNQ>K4xuaA*aGMA+Ti4L%m2n1w(q2eIiwDFDT;xzb7N4!pr6HI31z;u`f|a6@O-F zd)v%xk&5%#er1#GTui8LaDvP}A3oBIedbp5mge|2?NOHa@URuk-YF|bc!Op*gWBg%5S`7in3nJ>vxllRFW zevj@RG~Dyjp_tO0desAAUP?#vLZ3;C*-!EAK` zptNg4jO|;X%}?WXiI5k3jsxpb(g9v~nDSy8H@Gcuv!rB%nT2^U3H$PPZgm1AHRjSU zZg|N@)5OHZ&7ktSR@c*g+GaM84?ZZ*hg`u7<)j?-D>oOgyv&}bjg>#OG~XV!E;YGQ z1-~zrYc=?n#zvwGg^NyS$)!13s})j_P;9ra;)6|WYi66$h>uCzyZs;Ps8djR!{9Ra z0s$meIrWm#yMvM{yGW?G4~>GI+0ek1Q}Lle8+`i#wR#)evS#NSJ*C=a_d@P-=(4Y?$S6}BKZh5gjqYaDRg;IqwW13gn|<9#PSmow zU61Sf`eMX_&uAr@uMn*lXM;#m7Agh-qs0z*xP!e3sKhqIpN_x=h&l&FS->2}t)feO z^qG?7gk}QEvp~HeYGcCyObZZVFIZrct-$qL9JwP#yZ(~$yn5)^EuY4`oYNrl_MRCZ=J3DtZS~C^J zBBQ$>%P$bG)#rA)x2-~?QSTaxf4wOb@Jo@iT?5dEI|~T{5Ls7QY*QjfdeE2c zZrWw7uAZ4O%bUgmV*)OhBZX5Ij#WvI*Be(Jx0G5eno1Zd@1U!X|II_m&5|agI0d$} zo?4&ix-f!P`P~LlCns6E`P<}L`blKSW&yB0Y5=S$7z838E&zB#f%#;VZ7}O`1O-fX2s;G?# zqQ-66EayKe8$o__A|dC!I>a)nOZ`Ke3+MaG%X!_pl0_qfnO~5eUyMB4AB{GD_y&-DjxQWW<@-Zrk>9kUosWlFFe`Kb z=)l5bxW7kwn!Yh?>3kYzkLuxM+^K!3Sl?H9C59R4$tf%cH*vM8tearW?Mlh3A`<{l zl7gXx6w*4jgoEl&adU6DRPECh;7S=U$X9gSWAf;F?fUOey&8V++}c3fcRGw51=Zxg z>IUFZPfci&e&(jJP_{VVSA^{;NRFiCtVK2$N>*_$piWZ57v^0?O4Vm)aLP}2dPC8W zZ5VY84$eQuJXlqziz~ti&MtWJN}ZH8wobfI{HZs_dSh;3;U5>XurieBoP8$_uS@k> zQ)cx%!XZCkAlQ>Mqi;ZXq4cScpY0Hu0XW2;zV_l~%s-&2UsR|p0L#kxM;16=|K;X! zTK3t5Y2(Io1~&@)%k;HXJe7!SxWTHg7B>HeQm+H!I)}F6jI-n7YR=2JxXr(aL+{^f zrKun<1W%XRZBOg7p=@t6|4-=LvE=>EWpprP6?E>&%FHZEu6sE7tS0thz?v{K|aZW_l?54jQS?WW(q zELlzK(udN}uPdXZcyR2-dsjeJUUe(I$lWbI z1;o=N)l4@`$9mwl;X&IkT2e%cyqiQL4f?202o?B+ba?Dz__}1Hr_}(aNUp}X?AV>0 ztmUfa0j|apN*kU{n7=(aDncGB6|`M>A8x8`9hAQs)B8(Y9lFG_Iw*UdoBl;@|h+Dyduu$y6_#Scr9k-gx<= zRN&N|FPhh)V@!oMTBbFxjaLm!855oS?|mKSsgCKwjU2ozVkI*rL7mtKQJN-XLm@gw zuJKJ502hKy8IY|_U=3K(dn7>DZXeFzPX()Kw6%MCC5~3J7!htMYflaU>}ImSoEX_D zkgsN+L@qy3zb=Li?+2JJF78hO`%w9@-8JA91lDZ|R|M*tcK%Mm&cU8WGoZdx>i%?L=KCYw`H@fF(lc1;;R- z778v*MAKJwD&)ZFgdI$T+SsII2@-fM}{L5>>!jsbgR*Q(P)3=$#;x4855j=YHA-`ADt+pUv0$|7|gM6(iwb-kOh_jdWDJ~PU>m$auKuCS0gCr8wuv*f+czh7LX?W)aAs?7=aEx>T_ zEb@@b!q_%I(-aR~=9zfNg z+8MbzzRegt81xb3b=WJeEl8K=WE&jBPPx1Cgi3jA$|=mx9R;TXw>Nh%z>gHCZ@`Y9 zaO7?{c!zIN3*7Sk_mY8lOdli$*93Q|HO2^j?TRWG*$i*BJ@Ys^^<`!`0eAkpbuV4_ zcpqiwO?}h>rW@`KEb$_=L zsYpBB;CL7$TqK$p_me|_2zWF8r4wkIc)HJ>`SgD6BU`n4I~eI8ZeA2JXes$m;%S+k zuCboCk6~sqvnPl^ZWT=k=T$(pt~tsu>^thELs?ZicbE-v_u=8F9TQ1t+!84aKVAK& zi4%^ws<*c?yb2#oa%{=7+hO_)bf0*|>@_KG-@&8R7()1XT_-{-IGFQw8h)S`!_WGd_A4wH zv-Hd#Z9+NTl!%{8v1)m0-KpwFxAOS&L4uE=xj5DHKX?Lp-P!6}SYN3>-qD?x6HcTm zqKuu8>ms~DRn{px*b{k9qv?1>i?`b@x6ulfFjBU1CI2q3y*tK(u9sLI{Z)e*7Wq+r zHmiIa-&mjR;pUTYGm;ZcD&0^ie?m9!;aHTiMyKEyYVS~w_vj6nMuN?4fAR@nm?)+2 zZ$g-D|BHX}paJ>A6!nMJPFC$q!})WQB|JA;*|gNC)ne=wX$oX@){GhoBzHmM(w)ag zg1P4I!ly9rS;KhZUDVumycK$(O(@Pfd;qT>_M}J9>>XQvO0jnO+ZN};)bHNOuZ6j$ z7FM7qAif>Fpn$OPzf_%W^A5|0QeJ===Ng>rIbI<-Q6sRqPL_Tqhn5_OWuYc+2fg zvPu?)mGRp@Jh&F3q3=p>;NKfKpq|=>7>YJi^6@ly!{ebMH3k~gGgT{X;D^Qx)>vB* zI^2y|!@Ai{X*zf3DXQf3X)eDB(K9t6)%}mP&6Y@QsO`PMz3azwo*GF=uH-1F{})+} z0VY8uFG8;~<3B3x2WGy6NMAkG2u64Pn(zL-^DZ?;!sZWp{FjaMY(+kv?!8NoCnXLe z!3D(~4RtDtY6Nj6FCi`)yvJgqFX!fYAYr_e;n4VeyLiugZtF~ST(_h&bxp(+*O5ZC zHq2ur8W(_d+md1V!XHs|$9BuEC3#>Z*-S1~bG>h+wx}6En#A7ke*FUS;1|RH&47g! zT~g-ux~7;ZVN-YArN779Vdvjnv)U#*E;Sf41lPhb+79tfVs{OCkg%fHwZfK(<6&p6 zF)%q%TqJUCMmr#N$=`Ogwri?^@hOs-wRZ6pUxWDSRwRiR_re|9TiJ7-{m zNSyE;1gLRBeym+-y&;Cu+jcmf^9PpG6DtR*)%1r57xb2{=a_Sheg&N{0a_F%g{b>< zC!db*Fp+INB=JPPOXI20*m8H=3cWjrNF@c0o{mB9RpPM*%22>o*>|*B9enTW-`X8H zT%_ETwTFyNbV1c(80o*ZFjpjnVtm!JQE`_(w+cClz&`tDH~s4sk97pYE!%lhRVdGl z7bJeC8n835ypV6p+Y^5-!2$1Pq?23NW6r5aQ6WBxse`_{^c8}CYg+OWS)7_M5#W+- z?(X~qGW&+3Y(&413wk>ns_pE98)M<~W@HDC&K!LEXwdfNf#X~-kD%zT?!V8`8{l7KJ2jVysfVSe_g%N=s5f_OsS+h(44vQly>tGN#EZE z{zcKxntSQVqT%UJytw`+TIH0#+`r!?md|CjWR5uqQju`_{kD<4x4ClR8-Ibmj3d$v zdX^#C{Sn^R`f@rhoBM75nSbtST9!|s1{;ErR*gdRKEVU0>bYavja{x9%|RJt8d@aS zZOz)Yz!cU>%9qY}?|fB{`i428#Abz{G4H2;0Ae&feShIp=ZuTN=8#(4G&87$o%L5_ zy`{X{e)j#Vz05m$P;A;bmGOxx7$RY2{1B+}EanaXN=yQ($Ybe_gQrPTu*M)YGpQu+{YY-mcfFEAr z%z%__K7}waj|(W?3v(K53FL)epK$705G2Q)3D^#8oVd%vd3Irnb5KJ(7oqe%++IFK z>}q;=(`TYT$GwpBlE+E8Nx?NBWGT&gn{dx92C@z`>WtE`VKda?P$1B2GrU4~jEvZ@ zA0|!yS5B!nbBzss_p%DdkuLo^ITEETb(+C~v3Z+IM;T+&$r}xK;#O1Y%i*VVz7S)k zPr+=gLDkw{O!){}wc=bmrv9N)8}9L-<%e7Nu{)vlsBX*oF+_GhUH)|AlKZ1-`ECoZ z+wpdPiF->u)&g7JNdYmBY@HoL_t@#GZ zFR#O9ZxZ@ih22b=mr)glpYb=x^sm~IxYlp06_4O>RNp*lK~;r@lZ^RfyvAz#G{;v& zc!2>y3EAADt6>R-w}1~tIjKx)L88bXGLL!S$k8t zNbm(N|R z98u-?#wFM%2r*@W{nXr+LsMM8<_$cpR}jp7-_HuwAHHEN>0sBW2mA0A_YU6z0U z!rpyt?5aYSXo2445FV78yB820t}1Ss>E&M5c=Km`tSW2-D83&~G~aZDp|gIRnshaq z9&$%^g!gpcQhtED%`U6A#w5FWbJ;VcscRW3ZapwzdSRLNhiM}(fpyr~rY)hXuW5!x zMDZQxJwBOigx)Y|iBRa&K<@X28sYsDz0DWtrGNp9qaf`;=$4Ha^44cqwfK59ICim& zAGXI2d)%;JJcMNl%$&3|c-}J*`tJM8el;u(((XD;R2`Wq1?2BQj}JL&g^(a?woP_| zlcOQPRN&a)UjagcTzbgk=(6xlox}nczjC56Zz%~VmlUfcfRVSU^e zF9G_c+>hhaEtgseCMDXQsPORQt#_o%UXO+vPtb~fC;cp-Wc!73D@%5>lWkmn_fAva z!R+iP!RWI+64XHjnRD6qg+Hc6ger2qI?Pbot2N^0ov!uJSnTW%D)R$Y;w}bB!-daUM26G zF-7tfCjJd1?L1Lkzf++3+~}DclSe+pd(1SkS6Vjv-tnwmEoSa>4S*$uL~w=Ne=YVdx&SvGIz0`=YJ2XblxVzrE_}Miw7| z^Vrj@v$=D;>&%HA2D#P7#H*X@!Z&;Sv687X!s1OPeK;l}HuMQ62m)v^o!@%^@zsbT z28H1dy*VNG!q<`;?M$u|_qg3U{@}3TJhfQYmcz}2M88S%^)1`pTf$*h6|C=0o)7YL zP?2cAzE}sgs9(PeZBqriDZvpGLBE3;W66 zdJJ4e7A}AP<>$S9nBT=B<`3!|3LUR#BL~FB{n^32-D(nD(jS`${uw?*fz7;PRC0Ff z<<0$zO|>Z*6(l8TmUUPvh}16+u-mC93Qv_wRp>ViezyzwvDjMv`fxSv%Xi+*PQ=av zTrZ@V={o%bUk@do{vp11c<**}+DAQ!13|`(-MY6q*D}UN;uDuHrwVEKRHM&hCJL(= zBGEtTB#-B>)7!^?i;f%vE57Z(LTDg`S+%ZzA(46yHlhCsu?t5~*EiY_uI2QBm`H)b&$xFgR&0u4@| zd<5D5i(C4pf;PPX`$5ZdV`GEn+2`fS&2oskP~?H*7^P!WhPQ0iyh8Ike^=>jX1skH zfb2cYw5SAg=PlIVq!=`yfukMebv z)27l12#|K9-)}CSAN8j&a_Y%1m}TZRyGFk!CQhN(SEHl|D5y^H*{dI!qg5Y?OtV&F z&x0j6BgzSPQTOJ@#-&4wA0mj_OTpZf`-$%D-4Ba1n8(J+u(geGGy*t>OnLmR)Pc8= z&&0%;Nn_=-_=i?YA$G)EZ)F!b$XDHI4@|d*+Er8-C6!8$+-`MKhBE=)WXFs?QFZit zYbVrM#PjmE_|=t#F}7At~B-SRGTlfUS~D9Z75zC)Tq0)0z?C$w9@_ZtR4$G3Tf%oJlpPf@Od2f zd_zM~7#JA9v^W|#vu0AN*ge7b^XGDJRG0e~?bSM~%&PRjXPlU`jsP9+8}5(@!ZNSE zs;|{PFCvG;h-(Qo%{R}Q(VZQmc`iwE(LN(z=G8Ma2N;>#6-pU7O1$#q$puCQ68_U5 z`}!fXw5gGM>pScH=|m$KbWC>g$Jjt8m=H(G4^fq5-TWVp&M_>rw~OL6*~VmRvTfV; zWZRyaY`e*BvTfV;WLxj~zaP5l<8wWy``ml4z4mV%(rkD=<*!Cypf^-=lN5>CQ?aBJ zs_wBIB9bLLh68DyCbkb;rFA5B5Iy6U5efjb!}yE6I7hKvsM)d+i=q&h_b;f~r;0cE zDUIKh(6i+?rV%e=XL+q61@A=tv>2hT6p)qWRq2$J+~VHjUlUVh4Hq^vzT5AaUzMCD z**9lgfIA0R!`uS`S&f0Dyh`2HgybI@%)rRhY&vJs`$}uNVKq;R$DNMFs{3^xttbw? zm`tlE93C!KlbBm1fw7b?E)ItC)$-!4o<*#UkV-9_WO1Uby`+>XayHyuf$SfTtY~)g16Flt4DS8Zn z%c&>z0t@hkQggjyWTyEvsz_4s*-?K9N6Q>pvVJ$GP3T-2sTu&D)VO|p_Qn^Mb6erWi}V?&-0K^<_NrKUt~7>D$iNZTj#!_ zN(ZSb#j9=YI$O3m!cJWL^86;)%#sXp#||kNDaaMQ({ka$G(z_1qqKFCl?s6rsm+MI zBDGy{7EenZYZolSx+Juh4DFhc;`X8>n#J=){4QY$bUGt1=g#mUA+AkVSU)2QR0j0%BboLaqtPEFM<%va(3bD2v@D@3Ua)&G-uCoxuRn#eZ(6uzPl}nB`W;Pr z-V0@;ST zvUnYeZ=goB`SH5{=dW*NRu!^XJcnCn;8JOkf&-yl%wOZ(wY~+JdTWe_q|==%FzNuy zrV=67Ul}NvT>Ls?^*Sy{Q7YI*C_a2=1l`+ z9AW)ZC29{jf$5=fqO2ZjaO%6G0&OI0&m`FW$_DOP1%1?!CU_D_FFHP( z?o$k(w}pZPTl^&OhuyvaBx-mz5@pz&?EdfkHr{U)fQobK$EoAQ*) z^9e9Aby}Kt>WOo2HtDtjo<^I0m{gPT{$MoblM?ReYLV>Q2QuNOd)rh~$lCkZSNj;B zBpqLDm?Uluy{siqnQep_+ycM z6q4^xt1r9pj}I8Vjx>PAtJqKq{HgB|6Gz7az4`3YX=4f9N02yDyHb_%BIjSRA z9)MfCI#M@oApps%EhvR~ZoeWcSLv-o7L;V;3b}d;30=+(O4q4VcmG)A!+kJMV?3lT zge*HJ;qGe=tH}Yzk(~A4dt{;fsQhl3#7w}>+tV{XCFOT_w*bH|Uev!AQxZi6hlf0q z&&=WVL@k&d0pJ4Sva;|Ju>^-eQI`*(r+`pq5DIgfe=~pJ33$`~vpJGV#5jC?Jnf&H zi~=wT8#V80Ebdp=1HmIuL{t2|M{Hcn@NkkKp=hf5cbFMvRjxx8eoPCOG82SI>sF=% zaruL6L&ZoTgwqlV8s#--nT8~*heb#(N=&@t<@#LbE~L zP7Zx5YoB(ay>*C1ZvmwmiPduQwtJTi$VGeFb@2AP{$EF2aP*yC8H@79GdsSgl%hh? zUa{%_vTc1tM#n@Y`F~Nx6SA0EWTFOwkp%4bTV) z4PLluXd+Zfo@uOQ8>IHm4W6cVyvV%&&iV1U&fj|DN1uF(!15-W~$@xmqN+TszwLZa& z$Dq>QHb&}%uSfQ0c4dr;jaBU5W!7~OUF&N`XBfLf`1y%Qdzlu;-xpEs2~+#Tx8m2< z&l5&JrV;=9>dM|l?%^7?*hbaKFvx0IY$*$VN{}`ylb_M(u7H)O3pT$^x|wWidwydu zhj4d;sZt+0)E=@KJ|4oguYC6hlpG+ZUSsk#EPn(jd@IfM=+M#8Rk@8pc-+qO{J%b_ z=-aV3eeNcK5cJrN4&IKA@>u5?3swu(R5B=xw5Y@X#T-H^qMseXE#;DZbQ8P%q4e%<{=@|urXmji1w$#$5c?B_MA@Rpz1DBroZ3S? z!?$B?igKw6{~E637ID#YORhJ0|7N!fNz31euf$3IMmaW>_OhnfG38P-_~3aPJF=b; zzCwrZk7|Ya=n|O=WISjszejmB0=b)WO$DY{inzGAI=#1^Jm8CskB?V3IBiP+mUjTy zpeENkSX@qyyot%;o(?D|X!6zK!E?vMlFmexc#^|p1{)`jfq>E_Mx~y2V^5)q7PXP! z=jA4zW^JDr6q?w(8gWa73NlBhL|v|D*+>(`%g*BZC-nyuO1z{LSv&i=)io2%5Z8L# zq~(XD7mb%Tn+$AEKNTn$9#_1e;f;|W^-G9~S7M=X5^cn;eE*Hcn~KvZJb6}GBSR<3 zmH>@d6&kcN%6H^K(w7-G6I4wv`9A+LRCYXhGie>LIj@c5M5Mk}5|67=c%+b#3cbm0 zH^~JnbSBj`;c-tJ_6(RBJ zrmkA69lKD?8T4ZV1RcZ~ zf8aPERM}-ExB2`gFhJ}nuH%HA{P$&%6EHub**fnHz-TwNsk-q19611*15g|LMUePRx@OrJosVR5d>>cG zmP0~9f0HW2#W=$+jis5Y%u*y6hM=TOI&cNrIdNR(Lvlspx63~$s@JFwWsNPWS z!^7%9=t^u1%3=F~X7*GhEc-~)%CFN=pc}Cy>nHke#Fp|)>C7MHshF0L9{X1uARe#3 zOHMFUV~OT|wD@Gj_sIEgiPl!9&3=gMWRbgZrN%nzNa64>PscMn5jUye(Mv3o0ur9y zY%C+|L5vrdwt$rVmzA6e zh!RL>`2Pm0nlrwad`q%f6J0y!Ds6Kmy+0#Y+p0Ku^C9Q{6(6f$m#1n?RD6ce0P9lm zkTxXri?iMo_qIbfzb=w#2&tw??~fNcKa9Zal1J8EHjZC*dCEI)up2%~;uJFHJAK?z zPP*Dl=MtZ2FcI=>4<{R=e-?uT=L^!DfO&wu%zXhzdLeW9pJHoqh~9R8B89|XyxhUi zNOx%HIKRegh!yNSP$PDmO4rjitn0)+7TKo~s;)?S1DG11KEwsg)cxC2b3y2lx0#}h z`cDb>Eo#y-b=4S#OZtS6!2>n)J&VSo!g>u2fyd->x-feF`QNbVzkGP>%+gXBNAR+; zGI%`BIDX&P|42s~mRQ)>lE9fxw#BFcvu;)Tku04wR5Fh^ATL!*kwjI6hPyNCP@xjf(5f{)JoTO~uzvHD)}GnOQV z#kUHpBE6SZ1_e#|^sXrEY3$dKhkEJW+6YGiWcC36sn33Y>aSV4m2YYn|2_JG_f1gJ zQLZ9MQzrtuyKfL{ynVW7Sef;AHi%z%Os3Pke4K~^vE>TOd<7ra8l{I7wo>m693h}p z-zKZOXj8|felVMw|MuirKI16iv7_NHgNG?|>~8ZLcH(kDcrqS8v3WG0D)iOF*D`hD z8fw23c|DPk^#4TM3l(A8zUWxmzm|H2iFK}svpzQb>tNZS?(@#r^#FdF zR!<-pa1q9nO3)Y(aykSgQYy^V{*?H9>i$aK%+1XutkP~Qf2bibqXdpFC>Z2SqqRoY z=c_fDhO8|>D$ShCMY{gdTbC znt>r^^qA@+H*?#)IG;e)Gibn@_O|&$!lg(b5Y6zD1M{OjL1ztWZ$F=?U9-RZ=fnJ21v+JwIYMq-K{3r-`Qyb| z<96~rt-_z}WRo144o(~N{B|f|ZP>m?y2bUQ^}zf%+>z6J@chR4l$t{J5(#veEvCqS zhXp%5NKK9Xx>+5v4`v|j9f)3XRg>0zI)~<|^3#Vto&$x$t}+L7!L92=i9d|U(TfA> zYp9bq;el(_fvE;QL{&H!8<+E7GQf+AA6URN1lG@FvpD0`D%91wwg7x-g+|R${WO1l zxVlEj{CvI`944)%pt?Hd$;nBf0RK$k;@g+SuH1_6i(`>6(gyFl4nSr>Jf_t|i3 z7b2X$qZwd}M;P#qtzxQMGa!H~wxcvtp>&jKcVx=ns1RQxuP>)9g`+Rc@LLR_zKzZ| z=xvAAnWB>{yFgvJ5_tFq(|%KPcQTSocETs>0*5c-@zCFpHj%|@sO%~3V@hkYl_`Lh zs2GQ%`?6Cqed%2@TV@b$GIkzW4CTQn5fG971jZ;No$Ph}Uy}LG= z5rYH?I=w%cxcR{r^fkV+Bm8N>We|L=vW1w!c4bEUoT z^3l~00manXnf;6QY$`p%nt$a|XdTZacCHAUmF59KR_y-1^z|O+@V{XcS~3de|ITTRI_+s%EhW zd8)(DEKf1S8nM%h=aEAv?FI{@yNRmtbXH5$d@A)fcP@Nx7ejym3T*t*>vxPqeUH{G z*uyC%n)nB{X#W`=<02)%(%sk6k1^h4dMmm~V7z^$!pk#AfrZvXymqksp}mBXpKdu4o6Yu#5_X4ZfJ zgxr=DMg0PMNrNmC`Ga!jR!yJTJ-<)h56bbW^!qykE4E*NBOYFh~@rf6^Gyz*QUvlTv^ zJm(s)qgG zZ#*QFEQ|;2AS6Drjx5JcGECTFg{~Oo)RYyH{Q{vXOc6758*m!Qo~aS9kpAO^s0615 zU$8TFBB4Z%ZbPlslWN6h{Z$ud45>;|TGYCnNRErNtuWux^>T=fCqJI?zJ6~k?a#J` zX#3F$a=L&BRf*r<{7NfVi$jp_IvCsvSD9j>hxZ`N&de5AY$gEx!`HJ}cVn-0`J6@1 z`MbANVl6m-7$fO4Qp;mUM|?PjVx$ptyCP%8dZ$L>&+x+UA{qS)b`~ze_t~Q<#{j;^lv*S}$bARz> zDUOg?Jcuj9jX|@p1Uzq(T4Ia+L*5e#w*N41PpFq!@!^i-X$#)7`b7zV53?OFZM;hw zr zS#)TBi`%**7Zozo8FaNKhE~faP^#3hQ7x4rqi5!jz8A~-Ax}2e3HTkB44v1cyX2m; zqOsU-hr5Q@EYkm#LE%^DSWPowZpk(r<;X6YHH>=&?LYk6-ZF}dhS zjHeK7X*oySwHASUb27EaO&-^M$g*G3aM6Knp3=D+*~S#3{{@P|4`W|T3=6ZHxiE{k zaTKRIWH(!h^YyP&_Mo1SK)CQ1Z|td6322~{NW!I!dP5cq)>{X0K%gOgZU!A0uX7mV z5_jsL&f7dXxog^+fYjuG8v1~>JM#S^4+`d-e#9Huni_o#?Ma2OL+GPxM+2Ej(- z7QXW+4?QBXF~%?K3>HntfU4pZSOLFbC;<=N!P)aVpRje!KKoNB3f<>*an}%ep2@6i`E2{ z))MSS7xdUF|B1>Bet=KOwSF9@t?Lb`Rv3GNmr!Rt!rvCuIogU|{@~G0WmUPZg7q=Z zBF>&YRo=KMMsRUxc@Hw5*r$2Mq+EUaOmch&rB2>SB!0`eb69#}J)&v@kei*~#C^6vSnK>s__ z41Nrepy5*p90nr38DuBkMojMS__e?_@gLmWJ}zJP#;Y&qPs+OSIv8iT{mT^h^?~0R z&@M1!1+2g3Jxf*{j6|wz#gt4QA6MTUUy%s3-k`mHPJ)iacRe`!EakE;zF@D+O`oUb z{Wu}ChDGJ~Van}Lwr#YPW_^{;TnkMTxXAf>v)9eK1?Q6KY8q+E0CFi=f3<%3_;o(A zY%zZWF?vEAnX0VSbF}bhZsS7=P;vXPpW~P4Dm)yT4Za^8tnnrGiWO9T?dm<@Syo2p zUnoAgW0xQaM1d2E>kBvidxuuI&zMRTq}O-mE~`XlyePWnw;VXKhz7%XO?-*9 zw4db*?rF)btml|~6p;@{B|Yabx)C}(dIe+fMOD>(B?&wsn3XrgFcNF}cbJ~Ae<(}7 z7R)&RGTx~Z7JTz=gL%3tm2#^oXqb84mM8@;`eQfUd=6+?S zFGORmh!^6k=cVH{83P(l!e$wz*FscNrM*9A@y0R1{*$oGce{Lp;@_eM2P=-EDWQ0I zR}$9`>BEshVO86A#chGa;M&YlTRwtW@lnWVc||Df*Nl^|3WI@*ckX(($Ontz4*hK> zjeF8Y4s9pRMg&^K!$J3tP;r$$4 zuQZC_YH!_FD2H~RHPQD0CJF)n+j)IOQ)qCoYFY95&KmIs9UgFtONhuqY>gojiZ7fX zS61FB&w3urzh}keN^B zjgSAHxBNklAs|q{hN?$@XNnNt+IXPo&SG9XP2cop@BHPxyk_2z`-1_=S}s^&Qy~wh zGalF2XOwaAMKO8G~|S9hKYGVA3tLMA}BbyJ?EDC z;uPC4%%bnOzH)RZd_>VO1P-jHYQUnIyZJ>#RZr);m+`zwU*QF8aRo4cO`(gXr_`E| zpR^R)4O6MqUhXN2Mm0SAlU&Fx)|AxVv??#hW1G1(bS?n>(*c=eG%!5UXZ_WwA>kxX zT?S!=t_-tDiiawX`Qeo$ZQ4jv3V;uvU-Y^ciE2y>QK{)VwVh_M;H%}sii%1Va_T+< z!C^vBn)5Wgh!`sP_zSyAonlGDyzXfTU8;#SI=5%rDYvBki(NC#T;=GUZ2Y&Fph08A|+w1a}tsYnW-=RI`1{50t&cUy*n8-T!(7v_~BOZaSD$LU5;f z9egH1*%9?Zv4k+y==3l487lEDeTj*sAO>~eF4Wf_5ut_asD=rVRXz#6;4wEN?spo% zg(T)~Cn_xJNe8cgy5p=z7rTKtIJNn&r1f;;l5ZW3$7aPopqFHWNR6ref+o+L%1}P8 zQ3D6H(*ueBh(DEvHei7XU+O5I;x0(JpObkgPim!v+2T%I5_ll;IIbwYMP-y$qq?K_ z<>ziztk25Hm}v)3AoPX`Ib>OsR|ce<2hdy##?zf=T z;uzz`C$-K`15q26ITD`cl<7woyIs%CF;(3dF;Yh30cd^S2Q|Ns#X=QQ=x@i9Fp$FEsqN>=h@9%Pwn=lpm$)3oIk zoel_exjB=e{3>?cqHM|@>6ZF(s(mJTs%nYdwtvgUuEF->enA7`vZF=guD!OGZ8Oa5 z5r(IS)uc)o739q^otbK)@_sN&p^lsTtS$Z=l1Mbvwo+@du|zv=ux`Qfo<6Mo^5Os4 zwkV=HHwv>4SC2yalW4>zl(uG(6E@#oB0V>Z<_cZel^!RSidEmyLa)Dk0u}m43dw5M z_g}MNoW0^}3XcJ*h(EisKMDkv^o7Rq(EaCeX(_%a^)a|u zOvqY78;Nb*to)?iy-bt9{>}y3N)(Dq7*WQ7Ygd5 zmh#H_lWRHHL6O;q%-N)M%&`>oNnCE``$#hAX;K)f6jG9xtqB95XQF^|LxJ6b8n#bW)S(I1lj( z$V!{bPQ5&JGevbIU9^b33UX*&alQw|rv;G#lSiY0$%BS;Q7OY|ahOkaDF)|Du=W0` zJEM^b2QP#yZOd1V$0Hfrn0LrCD{3TXEAoc#vxe<$5*|8Pe>~}ocYD_wtyi0D zaYGUD^IKZd04@uo$F-sL`f*Q;#i6a&9;dp)Hzjo2ZalJx5gFwQy_CA(Q@mUfJ!=-$D+2oL7^| zWeuH)8RcLwZ)8>+(J#TUrpeZITu8M=O>{s4yWzH_fwoAZ5=2IZ*9I58msaT8Z;RK> z>M85nZ@|7L)_!tusb11Utcn3X^Y^JoxWO&>4TQ@ecSw3#rdFA%HsjCp^?NtvKqMoKbBQ7Y~N z#x%*KC5E(ODp?ArK~Az)W%;Oeofj8#>L8&=Dm5ZlRB2xZF8*#ZKXGYG<{u32(%n6o z7ehB?J7W{fGTCzOlw9~Ce5?Nau~p%#8=IZwNxgu3D#-#q*n@kPedSdKbjXQmE+W9P zRaH0@Q~x323KZJIk>V84#Ost6&D@i-2;vbunC0b!Zb#psxmL0HKi914;rrZFnkrY? z4esQ1>_G;FeB&%49pu)-?;~0We~o3bSI<%mQ+^@)YV$2yxY^3<^&*86&QlsfD>PIT zv|J?%U44|Kf6|niA6hxD`12!`5zWvK^zYrGFXLe99Uf0+4l{JWE5CRFOZU&u&&a5# zeZ;uvP0ogdRE4l98y&%N?zTY?xsK)DND)hwwWGBS)qf;i$VV1hTMDnN9Q^ZDh4%0( zxY%#NAt?z#Vh%5lyBADBWMjOWmXfZm198W!&usYg*gAD9IBuVWRCZ@)^@QU!U;1p{SHIzprS4js3IWwZn}eS>Ub@P#<2zFuJk}4o-AflkWY31nY}&N{=`* zO0R&t-5+xB8%f3MzCxzFS{oW|cXu$}Ac%<;knKy09(YM7=u=?NS8k_@u#sj-W-O&D zTp_aAS(q|#O;{J$8bWHH((1fAiV%yLF3I(i)=Z(=Riywb6dyf|jg`6Az)fJtGzI(Jt6=0Pm=-V#KKWv; zrliT0E%_Wi4eg0)6W6B@9DXz&nVYNaT?Ve$gMcJpuxU6|V^PKu9~=|6wUD^E(E1X^ z=R3oR9ODFSapf^n{O!AGQFKZXw*9EPr9HHnm7-4}BTl9Ihp*V((ms?2*d6WbENNed zxtXhf{2jTGQc$RI@%el?CLD^vAD{Unk`7P=y&unO%L5V5(Msrx;T%>!!Pt4kg$@`& zfVw+ycINL?b*at!&pl&6U3)J7_8p6*$jFz2`L&YPsY_e_(l_2Zl`y&cI&dLF2Wyo-Eey>ROinlKU90gE z>lO0(vx{_-N^jI-5h|qcn5Z7ctJXd=}~NF&>fB>+;X`2&EO&@|p_4 z_pGAkSOWx|RX7|jRlC*KBol*VW%HW#{F%yM5P9v}(JdpJIEQHuM(Zaw_u}zX23Qpo zbgb^QZDRnB$q~STf~Z$%t9@UfjUa&(0kc;`JkL0!Kc?c6F1qklKz#nZ^DM+DbyOK^X|>Ip zwCQG=BGf3dTpHHY=WKRQQs`v;1q=9(ows;_Urq7J6g1y56P=~0sj9x_vR2A|7#lJQ zTf+1mec{-|ddyE^e`??jQVW9?Jwwb!~1+&{z!0ZT7jqTqlpw3VW->zn|0- z!m{&NQ?-1Xd=ec`4`&8KsoYR>z{8kt4dq1Lmk-xl7+nnT#^qBPXuIJu2BgX1#=jZ( z5<6dP=PpDZCi~5+ptxO$GU6b|5cWRbT8HU*@8u`mTzv4w=`|I)N*p8at*_cOm3%{@ z^dC&hk5F{;74Ktzz=dbGx+|>!yn*r$2ef$CCKRmGDR-rQE2+x#5Aa8 z+ZA9FPOJWNdO*N4c3;f{8CHe^&fQLB+#KH=v5F%X;9_-Z&9a;?)@%GoH^)<{T?U)Y znLQ{zPCz-9*rB1?tY0=8ra`=vaa(_*hVO2@9Aeu^XhI7}$dke0sOq#yM6|Va;(yE9 zsOhHIixr?@NiTQyswQE??oY^#>*B&C-UUxcpEmT_VH&7?QgieIx%`J}1vg(6!A}bI zQwe3ngo>2Z#;+shPtLnDXEZ5BjEV2fgG9$ZeN^wC9s55k75cIFvoJfS5xZ4L#4GYF ztLIU?a_qymk7(x`K~(PJ75K}8z#+}E?@|1gb#dpss!K4u%rS&jG~rg?I*AfVdMKaE zKM7c~MkXc(EGlvGIIWi|A#sm-{K6l@%oJV;q;#_5rQbTnJav#w20^!KJTcI5z-0PS#ixV@DHV> z2i}AqXKca;73-#{qM*d&{q=RdhTW)4ca7_MF`GtkL%Dfx{LZ;?jN9qo) zw0v*ee+Ng^mF<(F6gE7a*wugHj`eeh&eCn*wl;WvEa8Fy0@r^;MSvm*4>)Oogw6_d zH8k+v-DlnX0gsHmmKZ8#&+~eP%$1BaCG;#Y^_0QN9uPMy!h-AP%!$)iN0m%9N>hN> z#JvvzWI4(AI4?+!b1PFZ@jsCm+sKebZi&_1yT^^=`l#61*yz>1NUw!>sJ{Ll#Nn$R z8=5Xg{bX4jL4|^cw4670#+Res@z5qN;9jSAo7Qf4Je@d=>~`kecKcqEI=->;gSo8G zXppnUi1wAO6Tm|Lmk2qL#?-&|$Y}woY9T>>M9IF!l+E(E=V}lakyiJZO{-wC}(iR{8l_;kghImnonji9(DZxSOHm9==Q6|^FLqlzA(4bx#e zD;-CBEnhkESXB~RQoh|>)gBdcCyf`r>;On3~o|m@!a`jDBL7y@Y{RJ6+$JQBbk4veud<2S-LEgrgW3ES{HZ%&sVsG<-3k5NvNfXbCmQ z;jT{lDtB#Hp5H;d#5`5<*%&XHMJjpXR|}gKMR65WZi5=}36;=SGwj-)9^h=&(pxg9 zmj1o?9dmW9d&USieyE8zL(yuVMudm&{uiABOi+Ma2ZGiPtB6woV_Rhmh?3+pgGryX zNN^%Y$D#Z`BI`s#9Zy#KDTaT*;s*#FMdd$}$ghT0P*pAu+};T|we3*JD`OGZ-sNxB zjDm4CT8F;D4)+Tqg|WW3c0~6+~4fb(Bkk`BB>IMXluT0F5E{xRLP!w?e^+-ygw=Vt@-9` zKb0`{A+i*$Ck?;gjn`Kf$}7)O1Cn?_9M#FCdx6?p6XqA5bP-@hTAL1;GRl#&jnMIwx83dVfx0+wj_9TCNt6wha7z*!=))|$Y{JwAjw`W!t7owCAA?x zUnJvpS?I7xqif#++MJ1_fHc}KHPs}lGWxafjg2@*KE)LsJIZ6#D{ zeLSCKpXBzdZ-yx#n+jaQ|oVk*)(j%*!EwwR#t1N@J`#LA7o<#t}`hq zsimfVA(nm3DW)#ocX9%0q@2^O&4cF^&5|mjTXkTMW|;KEfVr((@oZ9rMDitHbTp>Y zrtKw*yxsDW(2Vr-0Xp@B5e5}^T3(6_JJirCU6o3px3^d)(I@ zgCRQZ;*HX1Q3JfozNQti1pSfD4XmAxSiaoaG8-NNWb+c&GRxz;Q z8t-!UEW|1ex5o;TR%V-;*w!1&))SdMIb}GR#Red)=}R}Z`5W51e;VY?5_?O{z1vQV z%4@ReowKK?_Ih4?fc`@%`=Xm)L&fOJ`3vzJHCt%7?e1(Pp$_7hpja!X?iUo36)QWB znbJQ&cqfe{v13QMGQKqJ@~PpscSyS*)J2>VpQ?#9WUj9+^zy#27p>0G?utdQ{Xc3* z0YMK>An3aP3+HO(LD2UW9He}ysbW+a4Wmsjl$Op!Q%DebFU=7|lHUOQx0Nx2C<-i& z2i}i3tlq<;y3uvPj4Mkf$)`e{cV>5QuMcqC=vc10D<)% z{$#=3h-8pwc}tVg)BvI=1-{t(DlW;cFC39({h4CD{WV3X3^Ynm#YVgL=~|IeN`Z?m zLr;j~amFn^f`n<~4s+o~7VEz13rT%{n0>u{lwpCHoqesbc576sMVx;deTnPb;EQW+ z54G@HoJ5BW%;6`^D^FLIf516IkqOx$vC?sw!#^gYtRBQadE>sNrL^KLM6Kp-1%g4* zl&~S;m2xR>)fRjB?i4$a_HYG60SS7TS%cl)?ywq_g)Y+snOyuJ-}Or3m+nmCbgN#- zB1pb?9teQyhxlJs8pOfyh9!$mrP$+eaZrTa%}uE`dzW9DhYIgd_IkXH=C6b0E2b&W z_F3Cf7+*Jbprb<$7N7msmhecNO2ZkMzw-AiGm&Me^^U%i9p{gal*&pc{%A)lv=y7M z7WL5~op$aWSJ8XZG^_RX?O%4+oEm5oYjD3c=fJXG`!+N#)-Y!bpOaG)2pivB{Y`xd zWni4_dV@LN=-$g_aa-EGv31buTbZV6$|h^AC)|A4ZB`U7zVLOs2Rw%2lrn^j{YdDB zqx)?~;>JuFbc|G67N56rDkt&A*F$yVSh)C5l;YwDo!jLuEU8Y>D5k4FX+8u_b3X|2S4tIynx71ho4kl;O za!%BC_==i0+x^}DdDT*OARB8h1~#6pkHu;1gQqDw=(G%YC^+5Ee!tN*6W!fdX8po_ z@W|4O5!HbX7|J_(n}-9%t_UNMwa?=`fV`i2ta40h9ARDG_Zz2+rWjVFtF{Y!+C*|1 zUzoQQQyF>!85tk{e2Ta&R<$0?pc)*M^m`!~U6Mf&+<}KEUt(` z@ht524Bf5s~u-yy8GDwNb}M!DnGiO4xbekad{Lr5J8NThE4_JtbNZ6bSWC!P-5bkW)>X`h z_>$41;rU3<{T|i2g~!x3d)5fqj}s7Fg;jGVDer+#k_J3hTtLlJlth<=m~ZPkn)n{E zR4qn;8Zm6!Z|ij)6y~u(Z`b#=Bb@NQ{`Y+231kD8CnQPVmzuXbCLi-Ldouay*NN1& z?LWn&*;zRoIj;OLmo@a@f>1__#<1qi*}^06$(-ozg|cO{b3;}5-%kQnsAuy@&_RM% z7KC2Q{U@N%u7MyN6N5+nT7n{W!wvX|wVG4@^du2=M=%2tX?p=QCPy=1<(V{fG|yx<3J*@Bz&Y zCA6|qp(lpMwrAyvN?^be(U(WV1!rbpC*&x26#AsFZhFCBipQpa>-Cp%`^EwP=n;);GH>mO%$H^ zJ0fP#DTkw*%DFOTmdfdva^2H; z5aw2f?rjs%ny{xOhpwea@8aZ2PDmnG9|Ui7GkQz2o3m=)6KaI2Jxuyk)c#ATiLpkg zqnkYtsDYV2t7Xs8W*3fFaWg{p6SJ}=z>s(afyEJdd3jL@2^Q~1n}*a)T>$Nk0=`?` zoy~K0b;$D3Ci1 zmNXvR$4yNmMU#7Oc37;D@!X!bWa0(!)BJBy0HFN_5G?LaN^)=aA{q1--8S1?3yX@> zK3y+PkqsKie@s>HOqsghPUX1Ew&`ukVaVCi87Kt`9g59W3B+$+f+mFeNC_qRhH)?b zUS6uw#b!y#kH*bhOUkfZM%nKnh6YZ?&0BGKU$pE=*GH1gb_{zfN`=<4pcuq)zdDtP zg}qNb-}eBfO<_k3J#QIu_MMYj7i2YSX=MxI4c%FJicx2>%nIuuzMg}>rjYEfxJ^?Z;{7{G_R*lf?($j1a zkSP@Y|FxFH^t%H*v9+U)m2x+2t|M@8@vqN2ewo?R@(|!8F`Y;^BSHgzuf_QqEEw~+ zl0gFM)aDniTeD&gW2VC!NL(QI+3G75cMIXe?nv_k2fwpKE<}C0Km~#H^MLPP%(;}k zu*EB72*=asV#l`apXP7q+~{BBQq3H#>8bCEd=y+es?9JgEnk+KazJGi?I)(Cjr4`U zY5g@6I%L<-(Ae^Q(tCZph!iE+1@a6G0UG-I$J2Hrw*XEwq`SMjyIZ9@rCVCMQ$o6=ySuy3dcS+lxp&+<&X4=Up^SmNo4wbbYt3gq z(e?A&w*of3bQ#n7fj@Ow>skk%Bl;uy2nd_z=YOdOI_P-uLz1v_G^F?Ds;LJiYa*sX znAsuw(qC%H&M(`dzAvd|^X;DmZXQphX%5R>mqP^KF{<6EO%s}K@NKLuix>POpu2g? z7FD}_X%1e^PVsN=FqKY5yC+T@rD2=;Pn}}pbPG1DOh_u9%T@O3nHn8FhO&A1ELqa3 zakiNze=&5v<9y&AG$+{Y4Y?$pCXh5#+F5-)XL)pTJ~H&8=Jcpcx}F*C_LuE)v?zK>^L(^9iUd>l8Ix?KBN zw(Z*opG5j|qfJe7FV3Nhjxt1i=9j|Z^VbMf`YG(kJ(f|+fJ-`9yjhJvzjZES?A=? zC&0JFGv%2wMIebcE#H9 zXs}>5?{ro{Yepcv7=ln~fVCsKK2T|sq#3$Uj?@j;z}ymM{OztBelge8)Msz(OloEC393;SKWY8Ji*PT-`i{= zm|t|Bc3^o}7)a4NDwJKDY0=GPl}cy-eTn1d_wn($1zwD=3i9$8?N&cGxf~6E;up~! zo}&vSpybrQuA9&$^3n4Z+^1X`wS2T+i)uP7S1wmtNz92T$SXuVNaRgF6d#Q)`uF~# z?4XHP8@*Q1^{wyODIXokF}t#WI)@;aH-kSnytuk5$;4jnvBvvxzehojHo<)y&Mshz zZfqj8ckXGmU3nc5$JXbrpgSo%8)Ncw&UuSd1m2C&GsqdgA=LgD{W!3qB=*qYExcmr z?gvBnx|mOGgHM6B#=0Zyb;hMz<;h>m9W0zgKM7>0BY#GHc}2aMh$UFNZR^>&ujtkO zKni6WVKKN`_f}J=C6UQ>G4)H3j)Vjv%xmPVFJVAD@!PMo^dm^T5|?c!54{=YSUH`P z6|jdyU}o_4r`opl1JfxtU}};&c76~DvW`Q}gS-0n6y8P+xvp$UJ${NO;5ED2upU%{ z`MlCW;)3m@hM_=2B!uk~)OUMk*3|{h79M2FjPIDru|WS4OVnO@cNVbID!n*D@N2%d z`mPdR4K+kWPp%}CcI3K{U}~-&_1Ho7yq3!=?zB_+szxQ_B_X^DlNXDBk&vk^q_m}b zJtE}eyxxQmK7sjaf`Z>yM-2h?$x}J&QT}NYEHhlU|@?Gf7F6D=kxCRPTIn7n~#3V2QshA#neC z-uK=EEA1hfp?W zjylDvFgD)1$yaq5BX!~=!-8c}l`Qb|n_vL?oiy&R`>!h`1cXvq^?~`YB#E3&^Qt?Z zxy^qo7#BD)(ptYyQ;+(Gbd6~Vxvj-Ma%jQW8(#-_Yb#sm0S;eqj@pqf90rvPB*rE_ zK3+~vuA^ML8Hdlq2}8r%dt-5lTvz|dgFk@S&UJ{)>)#D(Kw9d`khr7h;XF*GuqkXh zO22Gf>ecwp_I&BdcgPUfZF?rripx4>qMq-xuPyAOK>PqtiR`>lZw-*Y`SLIS5Fk7< zylN{GRBiWJB)FhHc3|jQGI*u-^O1nXMOws~nyk0gI!-_dtJwMD<0$Lo#by=`;U3Xk z-nEt`D^g#d;KgS!W_hj1t^bAOPu0@{nsu}d4cgC9RgR6a`oE8>FiyDFRI6$Xu&@4z z#AOx#cEB~to2e9jLaWt4x5blMkIvp@KC&&!({`7;*c-~Btm|e56WkrX0?cbqkDA~8 zOlermO*N-gYR@@LILik37oOgdlA|b4m}ZVN(^#v8i0f<9EI%Lb*UMus2FY68T*UB4 zQ9>*gG|RvI99{b3uYIxHcC&kB$l$|ug#h$AT}Pb6TIV7O`Nz?s;L+FE({ zuZ$5BGx}yjcGK%VWl7b7JuFh2(Pck0YliIZPP4>S*JTsIKpnR?7Tu`rTJ?LoP!lOh zu6t<0F>k7*g3B9vM4Ec%8t>@RR*Q)@0e;Qv3VzR@^bOq$o<6j!?3fB^=UU87)?vnL zH`RT4Xk@-Bm^H!Zn@s}BGr%~b#eS7$neQ<` z`Q8#4QMFv;-=17=Pqx+4|{xa;D#Go6FJ(S-OgM4p>Neb+NSC;}ngS7HoG zifYqd_@{_I%Z`M8Xz4nKxB^6MyeOG;neT(Y*Qquc2M z9}ow8uY04noKEm_KF^Zy$Hqnntw_UHVhkgY(%w(aroF3FrisyNLGg-V$jt8LtK&@; zwlgf}w|9qD3x&#-@~1Z|Pz~27wn=BSZ@0aeV^d_w+;^NyoK$OU2zH(R3JXQo|6Up8 zWbeqEbZ$x+zHOj2h8Wiy!LZc~Z6&(+LzN1|2v+vqbKA~9gGR>w<>fkS8W+GhQQtPW zby=VruET}T{`e~cD})+5+s?UwYGBEPzKd=)^^CfC2qgvg_vfG380t{WaRnUx6>K8TR)1Pwl=Rdz&u!HF_{Vbl&)Dl)cTPTb>Oej?d#l zj!#?|`rn!DtXS^x`RX|5@LDExQ`3MIHyC-$BaiExY#b`SfZull}|{IT@kmRoZnbU4pCN%MYN|D%SYLcwzzomJT56o z?PK^?ciGd~Na5!mby$R3@`LHtRaw667d?zN(6MZEs}-4O3(inQcO0s<8rB%qz)gWU1-Vuu zqEqj;#Y&EjB(R&9O!>muZ(LJ*K~XV8%BE|@+aI-nad#J^qte5KPH$Cm_^0IqW*?h{7g9B^@`R$R!2nBN)y&4Wqc5IMKRtDFB?~Fq4 zfDJ@rP@JyE6U2RmjqRyyBaD^4f3Va15PTHZCOu0PdwfM*I^o<4n|sMhk?l+fQh2#Mk#KflO85`%5X zm84!GYe}8YJ9rPNA;nS}Y#~o64|lf(QF}xdi2Kg_izzKcKA$;V@|K?n`j`G(U)DNZ z9LR!gc$$5N67#8^5UOxQyVzUz9V{Xe(i;SXj=sLW;y!kXpVZcBMM84a@0OOb31!lR zD!wR{2$Bl!okWS~r+=s(HxntD%26mPJ-)@E@Q5chN=ylgrEs8dDDv*LH@_0S3?K}V z>X@0tN~!JZ3b%IwLG9F`X|m!wc6BkS3qRDRzHfKv!qZpjNkc<9iq<%D@=1pqmJjiT%?W1ji9aH{x~%y*IZ2I>6`w+%iI?td7+fkI(rc7jEo9+b zSjdkea&k${OQiA3Ful$R^{{%^xV#^Lx?xGr`5;R|Ms)PwGA5m zg(=g#DPodK;NiDOe_H-4IgrG!9WR|qd$djdl{O|?F{iOyVS!;Y@%$F`VGLK~yEDT2 zx7+ViO%8el|Lsob8$i*E?PtGR2@O_j zFuh`wJ-yScMs~`@(tt6P_xcb2xrB2K>e=cN6G4nv`S_1?lkb1d?DdpsS(_oV3%wR6 z;ddu^QJgmD|Hw|SjFttVgwn`P<>p_0HkdKWH7zNbjbHVC091wEEiDITdI>JTW)-=- zf^USrS*A9rxDn-yfJF&yB)BR2)V>z~pNZ^i~?W1x9th|2#B^K!5VmLa=Hl@cNSP5Q`_yt~UpeuK;8iI8v0>&bh4f~v z8JzXJzH)9!`Q%s>MbsxJ=hr=jRfuwwI-gb`O!)=*Eldh>4PMYiKf;_k7^XSE3nC-F zvL)IaCLT1MDpn3B;7JS)MgSgWd*ih%ET&Rad{?CYgtQuNJi?!RdTLBF3T!I~-5MLm zN*<=*@HlMeyJvY$h-rC|1sG60oKFTu1)kLMr5~eH?c@h4?wdER(Gsjdb*XK13`Ru# z)AuJr|BS=&*oxGK_90n14gs2s`zN6n|D2on(5;4v9-Z$r?_{Q)?8C@o^YVYEwooO~ zvhWM>zmmW1O+@j!65q;2+p6eNol8f`9+<4({?e$+>)}{=$9a%o(&%KUyy?&#{l389 zJ2%1RHsJ2d?cIsNis%Y76Ba_6ecGODp?Q*mEcN z6A5N_xtQcXID;zrYky! zLw^H0^z59esHlF3-zEchv)o0jW%W0$W>Kz`IFdF_lSR z4O44Pv_(z?Vo*ohrVLVr5tUQm;=Mg`i`*q{^SmyI*sExiTDjuF@ogE(gbrA_k zNstw)2dn}YohGGgtQQhVgnv}ool$*!aD|iQyMt|ZIsR3f33uY#K^DaaOmdWJPXq)u z;7o>7BrBG^gF_=t2I3TPnJ-Ne>7Pofqv77JpoGCI9KfbA{sYboca3leb80cWfvIK*Ig2pOz z1xC`i6rTj?|15mzOfJu^L2=m8NIRvO#B;OUdSi2Ehx9O_of^4R>j!z$ohgCJ;qrLW z{AjXiz=f%f0;+3I(HYDXsgq|8H2IHSPzezkQfJL=frA&@b5Vs@N}cG!J@dgrPk_JM6%&q{kSZ2zKqwcGxl>0G5JLuIAC)KAt|>D4R-c8vR3@3^madx(4) zj7OgX7hgI8!-)hkmYQ8v_cj1p(Am@T4K&^Ltoq$O5@ngqe$#z4X?eh&=ZeMs$PmdA>4;M{H z_@&e9#3VWD@m;idU;;c5q0M8-0H;6V)_y&2DV5CV5AyORik0aAqSi+i#oGl4H@7G4 zFTiaQWS4i9I(oXReNd4)`g&q^F#Wp%sqFWnVFVX5q?TO zM$_?fe95m9US5#W*_-mv>(gzWvswrZ4OMF~BRTOtCAo>ng!-)H#Oi&o@`?8DAIs=F z--9x!7FNsmOWe+zQU;`-G;2vY$%6_rz3Zxu3>7o<{@go1f=v3$UHkrJz;Iv$GZrWV zLqm0-JU^JJF#Q`%l3)$IWxDxp7GXLd0MAz<@9yKJ=8&i;)A5`yzI3u#cnQUTL_saBr3tDPpNCJtRgM)nDtp~5xq9926?%be+1va3^P%cd1qB7@j@jnE zvmr&<*u?axs4(Bw0i3CBqV|{GwpP!(-Hm;$lbhqY;WNX&+s*1xx_V=yJebuJ+u~g1 zVm5CMkVpJ?2-pnIrkw$YJBR!YPQzYgkDKFRx{8)AfJ{m0>yyax-;o1%4?p!C*L=DC zTGGvCHl|c(D&`o3(`W7UQ#%`-rhplYNL(U#_G~fD?&ZtY_)^R!QzWcyoL(a;I z39{t1w6)Er29yMP(zbB?fEnKyFua9IWY8S}j3-=vFV0qvtMw}mhEFGroF#USj)e`s z#%RrtQrT@b$A1tSjZvEO=d9&D2=WMA|HQDm}C<6RXUVvXFTxW%Kdy`{2^1E_A-{gvj5fZ$UCkudZ21GYs0CQX2d=lew zm3Wr{WVbaLA|Ok-8G$}-we#JK0yMc?SS)Zh)Y7VqhUuRmHsQ>-q``dn9uw8=mrF%uq2}BL7!y z;^?i_a!m-&*T~gcj^)i~c%tIUrA*()NYUK2WBVJGIYKmC@y~k1A6^#Z8euJ{>GVgB zmoBY3TqhE1-ni^!KNt9&V83v8^|VZIU;ma>A(GqyK)s9u&FI?*MJP-zY;JF#uLh!40i`V1|NiVx zm89^xGk>=TrBUhoC7-L-GK*<=(TySdj(|Yg%#2z`M<-!U{ptSFU^Oe%?JQpv$|Agx zJ1+TewlI9ZnCw^Wg6*;FKzwee-wp+qlf4m(Tn?~N((VBZUzY@d#trxeC3MawT^zl% zZP%gI>r&XzAwVl;qzydQuWYXPCOY1CGi7+L>jQ6`M(ggQ?YCMOr$eip8m}8-l=Ji_ zW<38g)Y?S58QLjY`hKrPU5|N|hjr)NzhZ^Qm(&JJrYC$fAu`JTmb!bHgShTUZpj7; zpP^!9vLNNJl9tBy{z7-+Y$CRf*P9fn-h+w}icf3_9a+SLZoB%`H5xg5yh;NVnhSvWb9!G6eSJq_hgMRz~16`7562d&yrcqwKSePXA&;G z;`G^PT|+~AJbkKmW$6aJJ3*!{Bonf8^oZPJz6F zR@dU5th}1qXJG1m=XodaONq9+ue=g)@VxjMd0am(%YZix)u%e?gy?Xtv>2bxSb?yW zsi|n#P7W3J%!4{p9Tl{(XQ!uGU~+q7dAZlh4e$&)mD1H|P1{zB;T13fo4`GPc$XIt zuYGe&N;2F+YVmE}i*Sh<-%r*?ZJE62@JM)glpN#jYnhw9ut_*n_z0W($wH8r)ADdRW&{rwPoP+Z)8Ff`j+sAoX@77)ZD z?$x?US7$RfG{ANcEk>TVT|zU73#5wcIac>O;_{ot$Sj)SwT&C4Dkb6)5~R$`Rr4p0 zMVF+azD?<*wHa#!0cxz}NMGqSW=QJTo8ugI@s1;EeuBY}mhe#L{LGFemgC7vWIjDS zJ4pu@lx#lL>+#P9ItEKT@s7+ZN{fvDD5})|os65BklNb|uCE6uJ{+hOtmBcBk_Lc~ z*0J2Ls9+lplE@dzmK&>8gpZ9Ksk)sUrL(<$Wh0T}rG417=U6V_lho+A1MGf<)zxv2 zm)ri9N6$yk`y)^*2~19E?P6{HDcFNKb*)~>2Xs0iwlI#LgxebMjjB8V{b;iXK(|%z zY(pio4O8;5{}N3@Y0Hnzo6KmdIlou0&Jg>k23oNQygkM{oA2=`u7imY{yskboJWRd zFCfjD)ky*mJ!UfvJ>G#PJ42=xv2dO)iH9%cn?>7l#!xPY=*F565h@n&Q*E}ypdQCF z!`kg#TGC{#6-W8lv3AS(8&{a@yUO#6*joOT2RJu_4~=#UrK1XYfL{`N$n%=QN;RZlJd^Yf# zJ?J4>HMAq~vFQeyYJyf_Mw8pb^CwLt4iS8WtkOp)q4POP_B{P~s|8V^%(lGtI}^p! z^$wJ=4^rydZ27edKM^C?3r*tDlrcbS^H16ywyESV^}o}{lOJ~xZv3~?7+4j4>6VB+GNN}(D}7USr^Rsw6pHcsHMTqspuAf?@T%TZQXi- z@jWJSF`Kk?C=Ac%d`4}V3d|7ej{^fp)H+4qrnJo0j)nr52+WDr1ye>k4qga%`m}d` zk|)pVVcwZNnTL}io9*@aB|bZ!YRW4>x#rvgNKx*kgIxE{HT(tX|1VxXTNg|p4T`MOm-}Go+=-Q8-kKibUWs4arv8a-#p)Ohi7IVu1F2AYw ztzWsCj^Y5hSb1dwMv79`28;n@NFc&&#F}D&dvq!{KGb&z>j8zw)kiuUm~4*rAk;7D%ps+f*{c4`Z8t zL$*#yRET&rBU-wbJN*+Z1I3<=d* zUO1WodkQ>w8SUi5g*qzGBis0n96@DgQ)QkbwJtbN!K|w)C z>-X>9KU!-@Z}*mC(N7|u^yA0yyNex;m|7HC;BA@Vzcr}s{y^V~hWoa%>~lWp*K|R^ zn1_XJy1g_fl^pI*;uUDS{R;RlSiL>3ItGWo=`1zt)Q)aTr{Z|-5Qu#Hv9_}%2th{f3W-W; z#`m0Bu6hq@ET_%AG&Oj+zl*2i7;!aa|glEGW1?l@ce-LhGROWKIoqje>UGaTLz%CFN z9ZJ$MStwruA`SnAAE;z3)pte`)9|*~a7d!Ak+pa6#9Kf4<3qS;x27?4joc!Wn3div1^L>y8UqsG3dC^Cb6C;}L*`kceikf+R zq6B1S*Q2EO7pH|Z6)rMmw4>^bw`Wm?qDI2@?W*!sJ^dFatHjl}uXg$j&wD<*AtEZO{P29i zqN6vR)_A$U^yAmASphFs0*SD#$=*ae?ZV^b1}d+B_v^FzMIj?4OjN#eYL32@uCGKb zQ6t1TlONP?*WjhvUS3g3rHLF&Ti@<(^l)M6@$e)HWzuJx>+j(|XriwjbUhgI zFz4iouN(ktGzjQCO)&bK`pEm`u0^7dszbX!4bA$@NkwhJ3SL^OTI=1&@bK0TBA+bT zO#TFk+W+MWj+xY!$FbtYaxp@p|e|oCwkI zq%A(lpw=c^`$r?S6(DWBJ@T_B)pnGOoAP^OwJDSNqgy1tK!_Bjuwp@h z;|@LV!y@bA(xQ5;1snufWM+;fI;n+mICVpG1B*}t>=5`hG}Zpwo7S9~$;L$MOAi`9aRPe>xj$wN6@8Lind zRjP|YK!1&b-+i3UBbYbui1j7r?FaUEI5>aruMPmmW)ql#W()s7;k_IaPB>cjeeu@u zeR9_E*rVXTU4`k5B9c8>ZiO^$)h5HmPT`UGTna~j{J`i5a6z~U6jixEI>*`LU zYw^rnC2|x1b!q_7%FoZg+@A{beZDI^Z@s*9A|)d$sX;|R_~lhW*|!7WMuX$UMpbLw zYLmABl~t)}bN>yvZos+(#mFIRppMv8b%a?Tm}`VwC6{$g@>shNW+ zihz=y9!1v{mC*NcZGfLBnKy*3MCBY9*Nzn{mkeB3fv`m5)idBNtlnTpLZ@1uXF4ir z40GJ}U;`AiuanD>kg(~EfSMc<`T*8b6d*sa06p!%HIdipD`2!>`11VJ-QArvb1-gE zn}Eu#T4mIaP6(10kzd2;dY!=mSe*t`ViHglS^#qraEr1&(QQY{*I!%$Brhr5KWvaf z{M)6%7+$9=oXnQ0dZ1328S6CHvG3Cr_QUnj){-l>QXK)O9WjyjEk9qAD+PEHz&=%J zwYP$U{Cc2<``p2i5eM1Ly+L_zrEeijkxCYPf~Y1?=ztYLNJt3Lqk||~3@s%y2oU1NoeWQ4IKEeScR48wfr~-$aJ<{${|44zY;v-i`%)`@nTjN6JW@Gq zMJwuu|3qLj=DxKWekUjX)+l{e{JkEgzTwZ$@V00~#>!|j=mfuvSXA3Og#JqP30wWz3>es4q|2ZaCAkw{#8@++MM&wHWXg>1eQT5byG1q4xVw zRTc_`^xLlGC&o9-Sn*z?w!(djJ5W9uOepvfB%|G=+(z_XpY}3QS1q8cA1ko4gXdy- zJ4(QZ>=PSSnM#;wZs*cc>v=t8TtE0-gcDYD#KaH)_@G?p3<4<6oqL`E$_@}uN5B=V zvzik!Guu^mF)=b4%a_D9V#Y=Mmead(TclW+%w+f)Y>g0)Vel2RODPSEJgFk1+ZYt4 zOgVL$mi^7?=Q5Uc=eY(>TvoF|Co?#ps4qClRx0=$Emlm>j>vAk_!mQ#w=<_FbD~o6 zX5i?==XW#}p>I4Pp9e7lw7mQ{wWpNtTl6@=q&$Vm9zVDR&Q0Y5 zf%HS;Yn?*-3K`EMMmzPhP?(y~pTKX#rdiuy|Ko$b=HzVmh zd!P>Z`}>0lh|*mBy0f01Uc?i`)_rP`c+26=`3|mn%3U&#Sq2+_tMv~9`qpyj4tGlr zWzQR%*Z;)(JEa>?vkVzE-YB*g+dnT8;~zUqxkkKMT!`|MU*jqG)@KFg7cO_H9M)VNabQ#rrB5aPC0mnACHE8a#_b*T{ zv>WTC(eiQyEcvynR_*62bhB0NEQZJU{VlHV?M`mbl$S3qZZ?vD!lO(jE;UYA&W^F7 z<&ty_Ehab^3?fJqB&7X^lCCmSQUpJLCPq;5EDs=7;#n5Wt(+c(mCEeg+VHu1Rwa!Q zdk34XGlLzHQ2vIV7S1|wi7P=zBt~PjGYn37S@zREbOOEN$&G!Zbi?`mW&76Uq@kY0 zN^^z2zR^)s0Re%q>oT>9^59X(lY{sfbElV|Z-Rv-3C>TJTH6j|4PtP(`S%7WMz*HQ zo#vQ-QS4c=q{LZ=xPL@YjOXfA;}z7aNjG2`YUWk832z?TG?}_8%ZD3XFcb44rN&J3V3+}7XZn5Q2C!(p(GlEs4_i%RwQ}#+^l#H_G3`F z?T66BC&n}SbcuxZoofiuC%pTx+WYA!0B4RS=sG(CrErHkU)^gT9FG2TX3gMBjg3VI zV0Um-)DD=YmunTA|6hLapk4R|*v9Jz2ZNkOkBkeF>4abwk}-vVDD3%Cu4aG|JYd=BmXdxWh_H=!7>m?)DE}vK5=M z*>L3h^TG*P5)Vs1LVgR}y*;Ph*_igE7e(vel`!x#ECJNhv4jo;0D%tv@uN?gSE#-u*Q`*w3MMC|+d*Iaj|FSULwkXdR%fI8fvSZ|0lE94`A;DyoK` zd@Q!7k%TCOOBhIg4Q{^PiiCnQq5T0!?&Rm(b$U(kG35XfYWX zN`C%~zkkIFWHV(}+PvkdG0D@!*AFOkE1d^TRLa#=4PQia#Q;Nu6j%WTXw7%zFIrHK zK~oC z8tMRaq>@1(ZIGwG_7;S->Aw(?H@gxKY~f`7)UkYwoXti3en&)7oCfT9zB!6JUo#{o zk~+J7m7_g#-y8>FYgu>ifO${`pC>?L;NvKzh4K}$<*0Y(i(tgXP1PUwc50UoDbQaD za8P9HjIaa$8vrY{Xk$5Z^MUrNL8Mx3-(fXN1rg~T3^ZEv6*HHD^LPPY?+iA$1j^Rm z+|dmU@2>j|oN#gf!aSDg{SMp?NKO3!$(;o4#^&Z`@-vAxuutv6qDI?RhnAqG{7LhFz$W%HkX~9_Bw!jS(!*<^V`WJ@=k}OezR&yyz7{7 zOZkVHS6vXO6nZvZ6z^<}g#N~yp&dF$tXo!ql!*ml-an8|{vaGPaZj#4zd^G|2Klo~ z$otk#vEV{Q{}7HS+{9d8yBXsfk|{Dr??siU`!p=OC6h zVk;Sv=f<|;t*zr30#O6mUB?|ltR67mEC@6L$1NhGI;nFwk}XnbwonTD`~&Y-lZlfixfTO%7xz@`2G1Yf~8vhP8pIiSB zq`iZ_vJN36Aa3N!z8a(a2iUwHN@q4YUim3mg#H1O9O{YPGY1>Dj%p2C+V0)tBm32? zXUJ5Xm9GU#72-4fNOSwKOJ70Ex=*x!)7z$q>m> zz%G_s`mIjXD%h=uiS|xzn#2ck0VV(Q0-8~FU(_Pj3@_jqzF~YttHA>tvf$9lY-f~m zSKzzWGh1mG5**wyGm}K9&BNl@>qMU>U_1Rhnc@Dkt<__UwmY?wgLX!la9_>2n%uSk~)4>Ue-D_2m>nEdVYpheyzhlAIuh+O@?qNWizCj zU5;+|ODcdh3WjY9Thw|EDTI_)mG7H6H4_vP*WfsWgUS4AlrA83%Yo}=(UWNKS-Z27 ztS`BJRl7~+9IK+8yS_?V-JAw3CZ^^7{sS!RYtjUu{4Jq(e0pA}XkmPEH)*?M2FKO{ z?+27celHwA|9wk{1dmcq0oa;>CLy!=@ZZHz$x!eo{uQW2C}^8U_~Hfjmev8o-hUp> z3E=N4iCl?o& z6uvJJQ_R|}N7E!AkAP=bNc#XGPC~jM?|Y|~*48)3$VLD%R-Okec8L8v7;ghuhZ1$|a%0rH7&CNU@n+*cCA08fhq@Q$$U_f}qBqaWTsAE4V%`skQt@$09V4$lf z^Y`Hj7Vp(2hVn=yHw4^`;=SgKiIJabBf`b%0rwKLa%7*n{@}VSST8!?@L8?6h>y2g z)*rXrT>}fHR-}9db!!16fk(go8-Wh+{box|Z;8BHaKMJ!_O$KGHqUN8K@PUv{s1^6 z1VqHHzP=wciUmq3)}g_{t5-9+rd>gAz-b?ykZ`2Rc<}GQfC12{0zuY9ks{Ug@sj2N zC#Rhrh-{f7n1usLrU(n{WGImwqbVWQAvm7aQ!{&ahNE~Z%_N(z-=pei-Fb9Wz*sox zG~K#x#ih2Ddht2Tm2Fy{S6I{^WWZci*-j5KoV8Qv0wW)!-N{0Ry*+dCG;ZbmVF-Qg z;>ca3ubUAd-IUTeqcIy)G5tnn|17v&kGrZT3)YUeM~V~Za0GmK$H&Kk_ib)flx^GH zcMz(X2pDXYhJ7etyea~=I$Y+>i5m!xG?Xcj>ALLx19;LooV4CJ94~T#huA+lYI?fb zxd^~(ugmeTpwl)PO6~;j+8rR04ROy*m8d!bXFqVX3#zV$C@|N+z(5oN*=+&Ht`b0Y z!=@vP0J1v=ke#VcJ5&w=g$AFDgL&fCCpLWTzJx<$1oVA(rkH54uWwdk8CSXEc2Su+pG9Nl18~4y&CG zXG8w}q9#l|hdnzxgYeRn@4*s;0Y2!EWe)I@u`*4L=?Y!l{NX(DxCQ|A1Ot00K=uM$ z`{bo&>9dcZH^>1)fuWylVW5bOH#(XoeguAsZ$F5Mi7_5{wLe{Jf&yu-rKNQXB=``F z=TWyL_VzHY2VhxHb~g>4bFG%DTb7PubaHVzSp{O+$`_Vn5ge;W#}Ys4%JwGf z87hV{9H-j2ThRb%e|*1jvGs5NNUt8_s_(bp@^)V+T-?3d`Hiiu9)Q`JO%(%o4OCMA z$EZf!Ksb$nIw)ji^%3BmIlq5L12P>8sBFN?F&X%LQpuzdlac*7w6|N$DzX~_181b} zRgb(H;J+2^^}f>h!)de2zX{if1?3G-1@S4j$OuCYm4$LC)6ZG^7&j|qDy*}05WH;M z42RK9t_;9=wz_vO9Ua6_RaI4HbH!M%1N~jMTZaM5PE^B!R-^2FglJ%OwPON5H;4e- za+Z@DQ?{o~s<*edhX6WN!vHp$ZLlZH&dyeya|NCq>+9?Lyeoj4cDm>|`s%mWodaa_ zak}>BmD|&BJr1uO6ckXxx}riT8sLW%RqHYuyCzs%fn3ev?gy`jrzlJ;Z2QeqeVw0o z&_pdagrhR4D#p6C%khW|aR_?(AqjQX3#17;_dWnUvIpgW)|#H^#LuB}`8vsa8f$@> zg#{GCnn-;V{8VlJk42qpu_{zhTw~d^ z^puSY#7d-m_C$3mH}zS6+DxCc-_VC)e==GQa5Y~jC!impA4=nYTc)C!j|xo2PAmRD zR5M`76}rj1cb=6+Tsf zl^<2B93Nc1FS&fU32#mU1q2-z%lLXi(R+6yAE_^js1OKv0j#TZ$Kt9&Nl97YFrBO0 z?&EdVgPoU`CkK4IA5Q3@R=e&lcrQDQz$B?Q)KLLDK+nMk3en=%rWGq5n2xG)p&M(& zZ8#cBv1<8igx*$lzp<=SFO z?GA!;l8cL4gkGnDV1V%lkhj%ZJ=j2A9(di7r~VhmOX~Um!0}4Hn;5LUcBW*C0Y{|R zn2g9KDX^sBxianW(^VuxdOM;79y=hEQ_%j3aeF2T_`F2SRkRGH8}=%V6r0s*T%QPZ z0IuPfxwDaRp8f7v=fEwE-~YL9mi#{MA87f$Paz5B;WKSu2eDXVaJ0j#%7WSSF6f{d zOg~HdlEG#7wVtHtexsJ>eXR)v#W%=^>;69o**#xyS#-$(4;jo)|MbtLJP^4>gTb1D zoSdFAPhemmV5lPjaG#8ypD;oc!f^&gQaQ2J!tn9-%nM)(E$0JtEr6*E5ibLeL$Iir z6If9B9ufQn1x<_@rQHwF>a3Qv?wVwyj-g6dykS?eZaDyV6FDiHJTzes&dGG23L!LN`-d-SE=I%$M@TVo}Kf zdaKixz=nbz zw2Bl!-2h0Oi=a{L$Mf04gdKA6pp8c0B-g;_G$RHQCc)~i+cAt_4rC{AWoAxZUS3cO zAF1%dNrQQq6k9TVf^^qbdQ^rrPrOc+FL*D5Ay+F zsbtM!Va;*K0`>cb-V=!baKcI3Y!HI#4UpZk@X8o1@*cmZIiH zhhT12w8T3!8l?ki76Db_(1OrKi`G{mhAD&ofv^AL8DSZOA#~&|Ia74i4I{LB!JA@K zc#Qf7ZimJRg(^^f!Tf?aSgs>Fx%(F93tExLFITB(&{>xEp3ynz=>~m;X5-{PP$7L< zHw@ydEs^H28(aJ}b_kdj+6gtvIZRmEPA(tqx$N|?Ah)qu=%cF_XQtPbXA&)Yy#;R| zxJR&B3Cu?5Z#;5i(qbj&jq%cB9v#$?O!LXeC;ee8|0`P9Sd!X170G8b)Sty}qYN=j?k8vKcrtIOpuVmN!AFdO`5q3B%SSXcGyq*s%$!9?)fApuHDz%EJEh;B3;F>L@SqC4es-;aslL zYfks_U@1<|SNE}n7yJ)8f#*~21fT!6iYdw*T`WB0T(eyjU$A-(|{h9=< zR6~L@&}jbvnj=b?w7&o^c0a7_bK8so2pKXt(;oid^K%$r+no3B=rXQf$2ecJ>93Q6 z5v;>ki;T?8dITR}eBs_dQ2s}8Umnd>8?L>jR4RoC zy%MT7W%?nZ&|qkwDDymIh-5A@Hjpu|%8<-551~wDo+G~~Ln(A}zcts><0+-08=CRyY{0iHC=GE~mCd z_G)B{XWEpFiE_BwR;}wUy6zM4bc=v#V&vMau6p;rzxUfWw^orE*b80wp}wdt7+ko( zz}(QQ`2WjOBo~IxTK~;aq^KZI!8ih}oe7+YT{2k%8TJOYbvY{s zdtYt*(OJO0@tHyTp4e?N`K+Dy*zT(l2RO)y6?5*0j zmE&wrOiT_GKXzhwtKl`WvB_>d;52ZKfB744bjTW))Qw;F(jWbuP+I!4Tg)sudHB-@ z+WR3Z-hrFXM#`8TAeFK>FWX0^x~9hX%9VQv{e<3yq80PPk0|*o?4CrYO({e}@aNv86@+#0l^Bqqm^=!hrUpGAb-CUJsRe-|+Az zRA&E@av?gy2Pb}Y?9M#hWn|VEu#1{c0Rb$rGWCu`@MTl}n=BHO>_r8(t!&)7UPaw* zaPWswW9w0$8|LQb!z*5E_qS9W@m$zwHfez4S;3D4J$tsVxTM6mzt%re)Pey;az;+h zZ9LUWNH7DesahYtRo^c-&VDpORCI@wW9qV`vf;X7XBwAB9xqVYtVWSwBE&hazwGRz zw(`>(r$=Rp%c<{FEQ=;;wo{g~i(2z8|DB~(!gTX`uY$s@j!vm1ahr)MMXm(5xjlB* zd-r%fos%JF65tl!bQ{JZOQ(PyvX)wmM_Z<*5bAqE^ft&D0+7yC*41r5dHA%weV)n* zo1RxJ(zm87o5BwF4G#K(jx~7~D=pzTxb^+}_m6dYNzW!wj3z;sC6DPEyIFfX`sKZ?qvN8q*I>w%8gOnxEVtoCY zU(rg#x2fC~wx8c=3A`p6LQD7a!P5HfZaUYJl3+p2C#9*%Pkr&0;c(hqRaJ$~<8nqu zdtn;wLmB|hB3u@O9qWv;{3j@wsT7LOK~dUgNwkk6Xb%-L7ap)vE^ePt;;akoa?Z%x z{Vat^TXL_)@|x1qxC`ZzA1~SJDMEozdcX9O)4 ze#Js!InIlBY1IR@jmKeORjn$2Vy~f5++~;R78dtQOH1iKv$3;RwYRHTqE%i{WF#9r ziG|d85fPDAkVZo}<2Ws2$IhMW2?@_-2`IU|QD>qdR`Y&ep5OY1jzC2>GU`b}Zte~o z4*qVeh{CwG$RJ-QU+l0TqQS2l(DGEgFG)V|-U5;Z39dESow5Q7O4IE8y7_EW>KMgx z;+v+<@4!JD)6435C0+CSpFe(#fBAAJ+C>Q;IpUH0M>yp=$5b#$+Tn0uZb-LSSy?Ck z{HcN}$k^710C%(X3rA~j-0XD)b@hOZ|*m-M|PdljLOIw zLu)IULPbM4(4#{HQfAIr>|_(JWu;^|FD2?#7M8i6N>!0@>{aueIH*(7-sY z9=ug&LXj#iCWu!z$8Wc{kIuW-+}g@3rVFEUgPO z(zzwcqQb(Jih-=WR~AHuM@Exudp%v|Cunj~pBXj1962}BR#ms5;lZ9N+o5+=U%sr< zE&mdPoDkJ(`DD|Wqqci)jCK1UGc-Yll$)P_3Qis5BHr+s9#($_yEiMOl&9h6CBb7gUVu-T5+Q(UU&TS=OMJc zUK^#QrJcqW>Gm;gW?~XF?r7k4aa(rjdtvk4cLs-G%R$(rs-fWv?xlZeW$Dj50bLq3 z8~Z0my=cVU3mGut)g!-d+?ZvPt{-Q4f92Oq62<4DGS0aCSm7m$C822{ItJ~FijGde zg%~N)Ny#Q^u9V~v78aI}Ri9psWknDrdJH9cIg3?ADjlO4InFs*X|K1WsG6I5d-Vw1 za%uB4xFh8?-r>Q_cBQiA&eN+)H}I?Bwi}H!>A`roxq3?%s{DzbF>JdnsO3rxJP} z_NUI{D4a~$8IZQW}MQ28qCztM~`^*zIs#C5A*R=fwNZy6E}Qvwnb+i>HJQ3 zacy6=%#3#R4Qe=-Hh@nATmd&Udq9}bcLFB1_J%gIy?G4(SghG~;B9m#=Zi=N{SC4WJba2tL@nBmnu<$Erb zm~-k`#izz5-u6>bQ(Mo>{D@AL>#?eu+C3a%v97PLuh?x)(8<}EJM@gOL%U_xyvu$m zCp*=?w2t$f+J~PyLWvHh4g(TD?Pl;uM%3!^e~vt6GS=v=>wO=xUcZ8NK-l?byTa#} zwrfKj7qYXmjLgh@umTd0^V-?jRoYgp_?CMtbuM+wcr3P;?9jA<5QxeD8Py5vG28ua zx^-EdRMZR20zS`ip3qGud0I2NTjZkD=hLjM&(8b~{~2u<{^SWeJY9Fm$qDhb%j_?9 zC4ubt%-a!KDvF&=gZ!+4+)Vxk!&CDA-e;GEU!kWE-}z71qGn<`UO8L8yxy~zY@oZc zQBz~|(&~}@`}gyCEFLlqI+Aj$=$3!b%?{y|H)4s;%I*5r;S_g28d|!_>gsju?CkSk zmfJu!8CzcjSu;H|)AqvRB2fuSCl_|bUth~!OWvolnFi&t%JI^3oj!dU!khJ(8rjt# zE{w6qgLdNGw@=RaXa`g;_Di!i!#{skx3p|S%fYNU9oe9Q^&CzHG^Wq*^^RukZ$qQK zo*vG&wqQdE8yF)aMa<46*|1q}2AUw$Vs7tMpA2XWx|$Ec2BGY@{FmvwBu1a@rq7vq zE)^F&PDtoG9OJ5X`H3&57f+7bJ4KZa^b&-=Re+^Sq&^N9qe%Y$=!0)y(A0jwm-5M@i*t zh+8;1I+iEOSW}88jI-GNtb5vTgVTs-Y$mO?kh@BaD zttlq(-Rftf&Xeew>1mhq+pSgq{o9e@;k4=VC!c+u7~s_5Q8%p2i+b>Yp{cpq*vKe; zvRd(jNKVRwtd1w5ra!B@bS#1>^^u*pSxP;dsm|RkT=*7rb(>6mYWUABHY}`Gzqd^q z`05ENA_{=F?#O>$UVO%JlAm8~O#8$Udul*?Sb>yd=gXkXbY5#}iDw2?rzdXr^T40u zV?+AFkG90=1O#MIKVrgK4u%Tj;=klsSXipwzRjvy;OV#aKb)48RlBk@XKZ4UI63O| z@(LCKIlHm$jjgP@ztp(e*i)77I$r09cKq-yI_$I@p!l7#GLNKPf&&6F1%7oVB)BWN z-*!z&S$Sc5=4QM9^6|Lmc>>ZM^WV(>?^6l7yPh6Ze zNioE?tV~*thY`&u4!nKTJg|v@!50O`pr9ZlTiXzHOZ>jNvgEwD@TY;R4fP_3bYYsT z?Cmu)UPV9@hNXawgQL2;n-!JVD4B(?qq zd_z}NCY;&f`{TzIvUU|IVV@{mk(js+#gcmn@~}LTxe6j0D^%HPON#|NGa6mn(^L-% z2`M@`iQy>7dng8>6P{}0n>RF-lC;4?TZtGP#szZ4exQjZTH1{jYEw4xYixUtyX<|5 zI!G;#+~jik(K7#IJwx!-fSU6Jupq5#F!vSZ@EF z4gi6yS?ayMvCY`ncpi6~he}SucB=M~@gb}8;rzET`C>+*Up(|H3ny9;Hh0^QtST`K zwYZ$zzKG^@D7Ig^&Hbh`bnLI)%oJGn7#o<<=W>r@PoknOX=^_@SD$m%;J^@q)ea&c zIGCk-Co3xxaBBb$54A+x%t7$r!M%jjB8*);=gywxCY=8C%O|v;UxXY_s2|2bQI2%L z@IoN%qXhE%O-G0N%;5wYTypW+$K2c4sCar_@$u;%$3Xy}O zqk$Mc3`=&p=1JamY6)hEowKt%Xx&&DkATTZ2S5PY&d$z>>FM>Ak`)J^DEVSySEF!) zS+Y?jETN=C67Hq_FQ@+exvj;|dV?F?ANJg(+ja*AwbuHsu3hQr>A*+!A9C)|r3no! zf+4R2hvq_+tcdh=fCr`y1=d{Hz_3s{T{(xc{t|S5sfO(oi9E%)dVOEY&5E_vW8N7a zEy!N5@1x_!1{9Y6r64eGROdzL_8x!!Rk>zW&5(*MG4*1cf{6)_l9Cd1!rpjmeaOUf zb90GG$-{?5M40O9>xG4dPeAbuc!1q^L;Rt?t*xznW?#K}m5YQ<y*A z(ijr-5r3Q!dukt3U+>!LO~-ATrbix&G8#iLpIca{pr`j2yy;|%HB2^MblqWB%yLDW z;X7E4Pm<=AO4Fv;-dlt(wRCDxbqlYZR8?h!)vEJt zQoFm}yycUhLf=WCbm-8zkMuOejT<)zZ!EP{mEo(TfrE%fQr%vOsTM_pZA z=k123V&RThlW>UGqa07dKvXk6;@nn553oWscGM;$+IJvK25Ou@1^R@h=B{4%scqgF z(ND^OP81)K7440 zbx%}Q-QD=-&EIhZcCF6R1`Sbl;ElxETDfydO8W@tD-Ym@XBhuSN(YiCru8aV(|mk< z{xH4yD7J_atb%%HphZqV&Au&o_fbm(( zdc^{fj(DvtabXbzFs0wK(cDCvmPO$7Sv57r9)3o&x2(KsWvwkSDciW3q(d@IMVvzxnv{> z^3bUw$Ub$kc^Y!aq1@#U4><_@0s?PpYwuyk4I}2!H}^&FrY=BHEQUTv`9(#4Bf-G9 z{yWSNv!3D#*(03@mhGRsJPLyHd%TUbw6rq`$_@@9+fa?b5ENYf;7gt`pQ6`dK9?am z-t)SsYR+9bdMdLb&N}1y1UH@n3CpD!jeR7z$P4!i`D6S)gQ@=lJO1|%2s}KquNpf~ zlp7o2jco~tVvo>FH|&PSptdqNRiwiO^+|dy(?c@osuX$6EIM^oJ@j0Vu@BBQQ-$|sF=_mQf0M_{^dz&U%@ddv04noX1**<*hW z4@9^`fF>a^0b%J5e>o5p>8<9lnJ`0%N zJ{6!L*OncDc@wa$L>{$`t&Yh+LrKzU38Vxv?ECBS^1H~w#BINBCF~p=))6Fo0r!E6 zfeo}p_{|+8Gh}Ojw4*#C@iicTetAfCtqM6eOUf}xNpcWL6$yfUYmWZ0UtdZtN5a~$ z8K?$)tTFn$qw5RlA_Jpphy50AxGjkPY!s9AKos$7!9+>bZR z*xbp@nTMyl)KyelTU!;j$9rT4Bba3bc`{z@oCd(m zZOP{&Ku}ig3pnl9y1fuCIV*PgGx7@oc5hRe|`}>^DsD$Y508~YVoI_W7CedxTA4Sj*dx?B3!~f zqH9WMYU>a^#1*gHeZTiLIF!Q z^5~)rH`Xp0InhIE-3h?qZRMWOz5pETJ3coxl>|O;%e$MuKAxPNomEp+Jt-%L_n8c9 z72k9oumYZnIkt=69pFqcCnrZuTbu8#(BZ?p>1w1UmnSi!x}mKt6xorFI2K4M==0}t z(-x{K`rjBCdrDm&5u1E2jtyw&7Fe-hI4>C+CkWg8>93=&Gq%Bq?#KJ|p)jkn$Y71c zPL$^7Kg`O`z6!<*7wLQ9Hg`Rt1xpd&5VAzZ6c1<@fBgKJ(Rvg3izYrYGLo*LF0$~u zzJ3q|o62FemCe!7(ZVP(7w}&^6vhKq6hx)k`L!d` zNV$<%4kX^s8~P>yN+R1HCvObfx(p7#lHV!b+%tO|KEYf ge-I-7Zy%WV3T0?Nwmv$&hQQZZ`3rJ6r;P6WAF#_Aga7~l diff --git a/docs/examples/img/flux_ID_predict.png b/docs/examples/img/flux_ID_predict.png deleted file mode 100644 index b8ba0012a44e9c6ff93f9a0fdbfc287fabf60904..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 77849 zcmbrmWmJ`2)Hb?71!?I9r5ge12I=nZ?k;H%kVaCZ1q7s|yQRCkySwWwp7)&h&-wF> z@i_*ds1brp|5#jwTQp17~|{J7;SP!}qQxj!qVKwk!;s49s-z&7Ga?owyhoZT|Nc80;L) z7(d9qngut3vlrKJfs z1O=$!zhwr5y+Qbfg!%VAbcS2?AF`{0va$d*Nz=8g5Io#&Qxg68;}2``_x|yV2NVm} z9#^x22LnxJ$FinF=`_9NbfoXzzJ~S}u!qYmuY!Od-hIob2C*| z*j#B*<9TxI7OBBSfgZ~>%RUXG=abcmmz|AUo>vDJ7Y~rt)zt-$?KBy@Y^H$>eqxE( zpWeEjs|zm6e+^!Nn;LY$gb#j@Ks(#BFBls%j4K(*kam`XJ z6ek~F^Qe*Y;hYK)o3(m&H29YU<#D>!iM>#olk*v713aU;>#8#xoBfvMQ{v@8N${o)!tRy7?f4ZQ)YX3y&*Q9`@lMMcsj z`T6E!I4<9llc`^woe%T-E_r@w(q*8huj*^0_XiX3n5(o<@x_l6t*fk5X2Xj_!pkc; zS4uQ_c{#OzDT8|c3nx;P^W#T(pQF0%BChCG=C|R|0wV&7H zHp}}Ntj^S9$yRrEzG)U$`x#?*C0bGUGw0^!LO3`$GAAulbYLPy1GBS@Du(Bk!@|Rh znM)*d+eb%H6Z#x$D8$6XKH)`nb`>HeNOnfDFZHl5dj-gT! zdWVYYPbR@?Xo3jyim~Ye?QpKDqpi*VxE&+adC=6^ z#qK!IN$V@;gBesxN=h#;uOB=fj%lY#lNbBbDBu%(j~C;Au7@H|d;9y1t`26uhJ>uItO$sUzja%1fYs2@@H=}PNMVm| z_P$?RUG)zSM-UD{-fVe(D#RoG@BxaSpC6*@z8dtWiX{WRs`F-I+pF}+quP45-4E)O zy|XhJGjpt6^X*o^zHMSZLCWP(!!a5bR&ZP#dPgwQde3)K)~hBkMX;*mY;1{TM%`;$ zTV24$;r)7z*P5=EvaO~|IJmgb-o0xbNM;$<^3+K5xZO;GgM(|EolQn16}7+E89m?l zL)&GxJ(Lzf$c@Fw$f&KY4Ym*VxaHX=!3&#<-|C)tp~aVfTH6Wf=;)}nzTRz?*^}!@At0hLBT*g+b|0@^9##V;EC3tl2CIa_M zThe!S%zYkC#g@FUb-cX2q5jz7fatOf-r4HHw=+Iks5@Awi<{QSW3D zn8|92PFqI@#7#4(w{PD<-ZL;nZT2Uzc$^uNkdTPW$!(9z@te&2H6Y-2jbO8x`y{R^ zCnsk*oIXfjv(P?MW&~EqW^6l&EVQ)wE{urxi~X|q_36A_3)IQO`LNT)jslzYj9+-T zR9ZLK)VLo%#54H3Ev<>UoT-kR?-|6RiE_1SY$4W5jkv%&wgyu?ZdOAItD&?VIx(xF z_?@<-6%`fL8(is^eeP|F?;lP&P%yBtn89^2iM2uY<&C@jQc4Df5?QIfpeaY-2iEh| zktue~$uTkSKrmLXG)L_SLD>ca<>2O?#@WvbA!;8Vj{{EUbhaUZMX&j9cRa7qHpf&p zou~I@N?L(OdhQ(&R^@CXPVAR}BMH9=(%fE}}IeY8x?@z$*lZr{J zdeTE0J+c2#G&Gtmh6{EL7%C3{8S^Sl;Gs&vD8xfuk@&bA_WF^JW`jS2l9I58`JZ`! zA2ePsdGcJ02-E4*S9bY$-(S7a2cx(+TD>c_p=pbB12|q}A&SGcX#7 zn{xb*$}k(ioMe~Ej6#Z33pd5UyaUR6%IQkAYGh$HTAuC-yRIT45OHJppKgpa5=}T6 z8Rb+9l+QML<2L>L{Qf)=`P>-H&d+PHB}=pN>0P?iszR9d_rB+Y>?-pER!cQ@%Xmy&Ae#I}?C}L2I9Ux42sh>#*vWYp-}U_u zcDr=Mo))l29``?|d-Xr|Y;JC{F7*!%CcJ`%-e@>(Zm^sWGW1IKeY(ZlpNlzPeDDCS zrd&l&N-FGXZyy69i06{_BvWZaTwI*j)E z)~%nsp4Bhw-PqW8zBRV%dnwAPp|SZ1D0ur)ISCW8!eh$z~wve`Sa(GrUO61hn_*W9IG&s zqmcROyyUs%qF6Y&Gcm1dfr&+Qu&6co`&JP}n@)yZtTjTZ=%3@wmc{x zAONp>!SlF@bqfzTq-b{8R5_}yuC7Xny#FH!2C=`6)7^!IG7YAJf&yzbEDX%r?yg4Z zPgaV!P`738q^rYu0Hl7UrHnp4J_KCO-yR;ktU{Nlnjg-9aZ7#+4K?VEC1=I(3;!^U zrp)QQGeV;_1p@Q#bSd%U-DSu8d zq&o&Crb=gFvI(CX13!PudHkhQXk_G@{Ao7@VnFApsi_MlJ7?>h%%myM0heX1X5Uyy zG`Wo}>7P)1$HW(aC8)$e0Zff%nD?3htPuMP`&wFB%2%c#^1e`zrigo!Tg3me%!l}F z*7@*;yk0jS17VQrchtd<1rD*-J_rY&0B1+X#_k3S^%5mx$(W3L-m%#&NvE*cd`y;> zQT5vEgA~f(7NS&`4jKYR%yYMsjfnRt|4;2IfU$*~%7~;Gny?oiNIkBU~G9P@4DKm6$hV9 zQ;RPHjBsLN;`~ZRM#f~SNCV&lUYcw-;Fw(i;21Px{wn3kLjHAkXI!UiWN83gZg4x^ zD#%NRju+Sx3C9}!ErSnO&L3!&{a^vp)3`prb2wG{q+;dnoiPH@F@`I2atpnZAnp)+26glX%{^hvo z+R|F@uRauHy(_YiNz{g2v`W)^sk8$4a}bCG6q4Q!b5&Mqm_|lhFVuH(jm4-75ttWv zpFG3+3KuUj7-0JLua>32z(6=8q~a-#>lM41z@*tBo@29C0N`-bH~cSICV01Kx?U!k`Azm{j}&7Q zh-)x`S$pSE1e|Eas{J9vKI%rrLyr+vqj_?~fb+S7*$-*8>={j7KPVSYzAyv;n%TkJ zjKF+|eQx}LwXYl<`6$#`8XYe+K@f>}Y8AQ>exewFZ03z=cn4UKeqhoO02k)0N^{MI z(}5F24)fhdG&b@CBjI;}bmImvAzHa?v7e-;s0Jw6@=Nl5R_>AJ^h zCwAR_Ndpd#`^OLz;w?Z~OHcR5HKjB7(!eT4ChL~=N8|xL8U{&vI7sM0^fv%2UZho1(pT)p z0L)0+Wl}{tnK>wqQtk|(5)1Ht3h5ss`M1Qr4-Sd+T3vu?{Kp~ZYZy5>IbS%W*I6&+ z#ldVGV3+5>Rp-Bh>{_JpAH9ZD+>{0zb1Hc^)hqc#$ zzM6nEO`v0FI7!bZxyovq8B7)|Fw`eJB(SE`fZR0RZlxe;w^bDBG$dBr%!esoCHl!Y z_P!3#bl=TQ+E`i9*T_|z6i1lezdS==Ydx?mM&Z~>3DOP&bW z4DtTwW7c9(1VC2+xun+qc40FzOrT&ot5xE`_BN$dta1XES5_kC#P@ccdF^eYjFc4G zWtVB4^3u}MgS|bPXj~RiK8Lk`9v0hMtjo0y*NU)Tefx9mU1J@qkQ=la^L0(S$th4x|MM9qsMLu&}Uo zZpTY!VVJZVAgcBn7#Og2%~ji^EP#YTBX4|CJ;`Z&)}-!f+fyfFd*QsE?N8}F_i-a> zNN{i;GBWbnNS5#>5C^7a+<-h%{*sg#d4t5y5hMa8z|3X`2W5_yni?K}hSURKQ{^6L zB)37>y7_m+1bkk#UV!tRPdzR;yRv9iTYnde#3OI0tLtT8U~r5k;@x-&TYHc7Lvk7= zk33*V89b%~IJ1+JDz2`siDD5r4!R9V^>bMh6xpNZ@qqyW8_$o&zAhzktv)fv8WYo4 zZ#7@3>9}Cp%vBbsp|ZE-$_NQT1Fq0`Iim?`+Ye`0xhWf75+ElHGkLE9C3gxDbGNXhB*7K*}yHp@7y$*Ix&9 z2z@WA{=XXFHyq;s5eAbG+t>a_FkFch1Q`0?RR-M8_UD{Gq$xlmYVYKPKDhOtc4+>g zr(D{=-~$*gXK9VL%hxq0WUywDN0TJ~Nsg`6WaQ*3Dy^kRSvRSHDJl4wblOIq)s>$w zzVHHKS3tvUXAwoQt>q$mvl1OL4LHqB%VV z2F5!)JWUtkQiPYg%{Fa<0NhK>2av6{p+RetxW6iMlMF@k+!K3W8{Mk7igmg!x3~<~ zs;EkRd#>z4Q|rEdbgowYN7!3itp5>2d*1`5_@5k_ga~w~|MQEL=8`ms)mW>s0xAl| zR;Ubcl1Sv>^4q5@ZbsTcshT26Lu}_k2Zf*_YDP0&RYu6* z)3q(0l#oGXv53Xuztqp(k2v2rEvzJ7vk6fFI@bStM>>Kcd5|f&8Y@?29rqrVCJt)2 zmfwb6vd~m(jw_Tx0C;hrcYW}^ad|>Mb9fYmZ_(MN^ zO<$o7X}|lw$2XZg;V#wi<#ZLik9v^myl2`WGpi5%;`kVyig$Kt92txXnz?Hg_Nzib zEpu>oHU{Q$Fjv(-MFK}Bt*y$GEV2nP#!5ubAoseOYGt~os$au^IE(ahY!OtHeJ+k0 z7hy6^%6k=~k~p;cONlKpKf#d(k6Kv6jG7e5(8!uDrWLEQUROsdiNOSDYcG)>k$@ux zdM&bsB5ALvu|(u?)-aW|r%I%EpI5#75$h@BA#|3!J|_xnNBzrq?a}pg*kTPWIrvbVXz4XZ?@%%B|7RxAfG< z=SCe(%*W6hN(+v^+o$VjAkwATuKnLsC9AcJmXgsuq-B+7Zr#KxeA-f;{t07p>v?Ei z*M%=dI{!%r>A9rjwAo_kt@LnD5E9gJ-wc&rdb1Q|;-~vllx``2>~XDeP1CUWp;d-OkSh=4%Uyx+qq9?3xId zI>ZvTA_~qRh`fe{t+1JAgF(Vmu6himOxFiA6o_}{jYeC;8N&cD?U$|q6N54{Tc!BV zb2G{16&2ej3Y2<>hr1USn}!}W6FT#lcz}iq^sKzS?x&TX5+(i z_*4&-PJXmih>T2J5ag_HC&9ZElu4!tj*|rjEfG8z=^bZCx(A6d^ zS$B7LS*!E%^3ZW`)c2VHdI70DwMM6KQa6_JM-^XZyMVC#EN}PC+Q->Epp1AE9IKf+?Tp+R@U2V zU@Mk99o==lIGj%cd?_guof2A~Ir#=KD-QrW*0iauB-Y`BqOtL3_>&d&(&dhivsfvE zNZxek2)Bw|yat%%IYO~AtmXCbW|&8(zHyW1K3d_kB-Bh8aq{l5IltVie-}5eG!Gxt zr$Dy#y$GPc*&mC0UYAs!??hB|RVC-x2;v~ceD{w}gtnj-wMn>k2fRUTqECe_~{5dQe`S-D!i~mrl{$hZcK>c7b zLmvMvldad{gNXCd?m&!% zk7ALp$9rRFD1M(hmMH%+@LEFTVTSmW_X5t}bLk)T{oA=;7#Afr*7PNdu{w!uzb90z zB_BgB##mUF&Rr16MyS7%)_KOn;4GQ)sD;RO>FkFh7IB`_`jUACMhrBiW&E0u7qV_+ zlEow-&HfbRt)VrWRE4S64Y7?#9U5sZ{BG$`SLq%h`i(ot`35p}N-C+7&Jr5du7FUk ziU1|p<8Sl+j6dqT?~|UCZhNV9R>9stGi~kF$%rrt+;k$+M;w`d#uyGe(nNX8Vd6uyEYe@bs@?fMJos#Ce{Q)pWk{dGU2Us&#oJliu8d`g;O+<+mG zqJb9@jTtp#%YAAZYW`5rvv&*W6bw9Bz9w?CY8=({n~44VBzcoQXz{FHRC&OWpSH8j z9)Gm-xVtuquh%V5-p_n<_Af=7*nwSvNXIgQDR&X^?gn|Q=BCs6n#eDDeRi#ox-+y$ z?lw?{+BXh>KV`SBf!3Vn(eA}-AK9vI=4!Hw-d+rwr3lMGUvbzglF2a%9oK7lcqCEL z4`QMpYT*1c*;Wn_{y5>G8Jp^JeZd(gycWnSVePKFMULRT&%C=T)HHJ0`&lIkugh$ zqgnLreuj?Ca(|A?ozai8ud#Dgax1hzG6&7W!^7|sd3tVS|FTH4DhwPvu~E4*v?veH z8SNHvrS?_N(DhwZJ)^y{pZIg)IJJ6|-?=Ce7!rr&CPr@?rKwH$sg@((VbsFjVPxeX zvrD5;G+Q-GMaq1VW`YJTf$T#+GfbRx-O}f}Hu1W)&&f;Tx&`T}Yw*kn{StljtIn=) zW{y(%wx1kF3vj1KGnjOszg-ma%Kq}K3Qx?nIN+L2>M%Q_=ljk2Klrk*x!!nY?Za`& zq%}T8lKnvJe0I=#!nTgP!j32wY0__`jMJ}?P#M3xo|MV1vXbd)Xu6$ON4L_ad0o?` zsb!gVNlm>`sx8qLmJpv&G|Q^v>MD9PgrfLn|5y{hyqt>LA@&Tt zo0{7-HP-w7V@~emjF_WidzqV^?ENkCN>+$He3kZ%H-B$0pSlEA6URM&TmhrIg@?Ap+paeiJHo{s$dhhc7X)tbZgMqx9UeMA@@*o zmg4F}A+`wbJ?V7=;;*?ta+bz}w~?icCBj|~guf~&znkEC8Poz^E9LARTa-|Nm+OYGce$b% zO4mTRZW^)_(@Ga+`p{O3#z*)UQl3_q7I?`5gw4)wx6Se9WlhScDdGrEXQg-X+atY& z6{bmQ1nfVQ_mADK^ql|OAclHBR*dfE_9a66T6T~^7(c0+XZo6ykN=4aUrDX(WG7r) z+(pyJI+Cs*qexTa$}D60?-9rKarAxFx&uBdd}NYZc!jPebOH007&cb$w2V@WN%Gkb z9C$X{je&AK2TAFigOv|`$V4QMgEjVqTo}>&l&h|r3F3GT+@*|$xvwux<%E!lQ&gZ1toi$ZLAP z3iA8TN8(MhnG;EIX-68W+g29t@Lm%S&US~0Z7F09cSszz4=S+K(cEyQ7;6-eVX|=X zheizio@lw<*+DQ@;kvs+s=H|$6!-Aru^1lCGoEIEC=U&}%O(e0AJ$|cAy=02owcHMjG(Ur6{=bAO>CTlmxCDAzen;OG3Nu3Jnk{;BBN zD;R5Rts|AuspChElA#~15A3sFtdxrrYlTml1F-V2QFMFaPHt;QDm&m!>o;m4*r;>R zDZ*PHr-?BkQ+g9yMqr~r6UEu>Fu?0?Gz3TB6qQXYTU^(W^DBSwo#XtnxZurX51tr4 zoGq@ghN;S!qR+Qm99(pRlEdW1by*{su@ejPx75<*q4XAow+A=-jhm;0M_h6# zeQ)05BO3cYacYF~36|swI6D6`yK`=|Yrw3^JKVIQHh*|HX}(l#v};N@tK~TJeNJoC z^X-WFE;!X5WDKO&^l825;RxIvp|2zw*dVdhewQt=wY!XbdQL=6=w?{T*2q)fS@<_X zJoaBg8npTTVLNSMR9vcB-+Djt7~e>OtIKP?8a8FjAP%#G?hlOMqy?w4(?Yz= zxAV8O2b(gVnr#b?Xc{*~)vI#J@Dh$UH5)RuLY?q4a>SKJlR^*`8KexOD7 zh1NG;nOqp(b#S)4|AwvE?0c( z_I4Hm>SguM0AXXYC#UT-ZY!)HtEt%g4wU$#d9kIj+>OUOS|aq)4!fz2c4%b;`sX9^ zzj&K4q|r~#el5{CS+Ogdp^J4U0_KH<*l3%_eF4*e@_T)fwH%n2#m1ttXO>HH&@0x+I@Jp`=iYe|a z$I~6++R~d(=uRTskhZ0EqhA^vOAgcwGAV@Dc;VcF+RMXvI6Yw)3V&G&{viazS4=h8}0h^@RU4p5E=* zHvEX|Zh5X$B�z6-|z%agakRT!oU5r`|#3#HC0|cPNQ+Y2(sgkG%o$?gA0*xH%NBZ}g(_q0d$e==se;>sD<4FQ<-2hT-qgy*k6E;G&#pf}{2912Al6%)ZBcpP zn%wL}Yuu#P9(RS#bi1Nt--9`um&qJxkgA~iFq>xAal9gw>L|D3y2TGKe8{rDqYa|L zCLv=5mjSD0LLzL#keT1}N3C!d1>30lXx`)$30mHcjJ%d?yO~telzC-^w&V~q1yuZS zijOhX8NR{7_g8~#&$&@f8GK)#Z%A)_pCr1tk2B?@$#&Cs-DR6mpDEJ?4!2CLP;J8Y z)*9Y2kOKlxw_9;|AT`jjsL{-_IY;owbR``T5(2Pco zO7|UP=0hb8#lIYjadLW~@4ia^J&x8NySuJwEveDU3^0Fr~7pt{d0;l3X4bBJbh;?rLyaXtxY1Rx)V&Uufn1 zJ#nLL6Q*CIULq>{lV%v3ZDpBrH8@HOpiz|4@7r$R_^$dbBjpwUGW$0^8!gd4_2j## zYrRU-R4(eeIv%Oxv)f4ncGMgu1n(Uu2hIDOs89DLE;f+D<|V9VY1%Kz3+H)%C~Jak zSxar6reOZ`HAC)cfD)D;YGu}c*iq%jBQ{LYkihfm4JV9(HI=bTdk}Y|pbGRi2Fxim)W5q~cz%0-gvjPspJ;=#% zDB==t(H8Ioo2Il|ldbn$Z*;lnxra>VGVNhR?&SZlGhc59Vp}I#mU5UJP_7*pFP~x7(`XM*GXKzb{Lo~f*1t0AJAoXnapEjS%#*m#o-vrKp(;)prO@J~7Z#%cq z@}%uH4ksz=oo>=()5h5q`5 z`+VVM2m&xwN2RQue8hC#X(ud}+RdteS3%EkY%ZEa>u44#dx%hiP3VeRE8L0bOI&(4 zJFl#)1~Oq2*V%%}aMcdP4F%Tj?w;B~f?rH)crWgJuqIwiEc@z$?4%Q0>*8mXYwDLv zlC|sQlVncxPk3Qdk5UV@r^bvL0R_L>r`9wGvu?Bl2&DUrwrV_UcPj}0nP9E&@3q3R zU+PQdz!htzqD>}`F~$QuF@9I3vHa{uac2QGk%RB5%buIDL}&8qvC-J929v17uYn5Y z8P<+3Sl_zNj+WeJGs=k7ifIvo8C%PO)PBO?U^1inB{`Ee3)&sX0&a^W^W!cxOP%?>^AZMBI?@xz?b!cySl{ofirBu64^W?qA3U$GS_#$Tt`-7&F}d(Y{lt_vKFzISj+ z7X4+;)7V)zm5yU){qAlypM;lgqLY`8Oth@o@DlzZc?+qtZ^P?0G{X`N(N}m2IE@0< zKhKEpYUP$cTHfH}topBdxVcOCpJ!f@UY;>a+o)RMN|Yw1os{QaZQc}!x>~Re+jt}U z&2uexsn}?#!b}H&3Sw%)_?3fYL!XMB8HVm?rHA8|%+Yr@59i`E4q6r#;xw4Lag^h> zgO(2&UT9TG*mvWhIfK6bN*!V`Wh*)~L#bs|Kd^*Tvx?uvNthZrQ(XI0g!C_~58pp` z#i+^$M~6q<2Ui(&tao^rNy`0tU_2yIMKZX`N4}}w`!+~t+FR`o2FblEcKYoR-EZSV z>AVYn5i@ti4G`BKY|eYB`#9Lb7Sq_c=K$?sxFURt}^{t(46I}$8&MW(od>bl*{>~1G{x~(awNsN2cV8XE z=}UNu*2N)1{;8ILuhP2zIQqOAW;K5zC>~8Jczj2Py;B_FnpI9WVd|f;H+=;VZaSnn zDlqL6VHFvlET8k$(ZFfyy0zTwP}O0H&DoD2-{RH}Ea(X#uz-1(K~cZC0!q=FWA3BY z{V6SK?UwXLV&5G1dt}M0gDm4=qA}esxHaENPiv33v|&($6l;p^!{og*p+q)enr8^Q zu~XKmY1E*{76@1uMkv3|Gg#5mabv9o^L=>uOZ)vX)T6O}kK=fGVSb7vZF4}EqYe#- zLZfaa#kqAiC+4)1EzLb*L831_zD6w(+E9d7;Vzhd>~@N( zpf}Nq!z5M`dBYhVuPLoNeq6UP|GrX`tP1a1A={pq72eyD=GM3Pz3;6f&Dt83dRagK zChf>;m^D@xn)En3YbL?N_Q}ZrretHEg@hhVyQgl?eM2f5_Lmfv-EOC?#7vagS4b`E zLj7HW^}n1O2DW+x(mUD{SFH6Ikll|DA+vVD!qGazk>zH^3%cU8)|IjNx0(zYuM}c;_U;5Si9*H3kHn2@#Nlq%1kT-Y$g|AiF z)^~C?Xl*=zif;UTB>F!2x?6z;k)mX0rTgcs+DC75GCT$Mzq2Qfqo)&-lIY{?&z!wW zbv+k%Kp4jw|*=k zFI6UVzPY|W;R17IwBg9(_G!0E%87Y4ooYrG+dbmGS|ULlX=W6kmW%@u{Kr3>C%iup z-!Vg=>*qv+MHLgq(%tZA!ctt0WX#ygt}ZkuVt-=8wD^g->~45yFKszOu1pTHKkGSu zZyKgN&Ld{p+|CaF*6MO$E)`B`zWUz??OHzEG+oQz-zt8O5m>9V$Z5J@F4wiQI)wmG zc#BN7>Co}Z=ARkncvr{wjAQ(Nyuu`(842)7B+%>@Mgm=Z7;-STJt^4nYyNI6N2Ov@84Ja$B`KiX^g#r@1=SI~ zwe3}X^#~i(lO+1gmb06;_k~p~eB6oK*>-b!lI|fckggVV<`t`1cV-$*S_}vJgyw%E zfz(Yym`9LS=%(Y>P|(YD)bU_QOAx-VIfyFS|46n)ay;%BH>@WVu};?{kW#&a}#6kgHf5mrmB9 z7NPd?*>QqwU8RJF6S@@J$qpQq1XJ-jioBWC^MUibzVM8xywbwe*4L}m@gO(gfBMG8 zfde!xIQB*9S%-NOCvZ+7tKmtP7UDA#(njW_Q_AMWR7}i(oFq#iBxPuQ{obd}?qgfJ zZ0Zn$!C1S^!tr;~vD{&MLnH9e>mr)`~lg0GtzBle$` zmMS0jq@+zu#JSQAH~!8J1Zd8BawXlj%!e#du{4Xl10%$cltXA6*XZ7MyI41ugrY^x zEnky|2a+ylx@PO?#9qrERxdA0^yw?}j(8K442P31{Cd?r_TQPjO!Z zroQEjXH{p7y%IVtqg`VT|M7Hb+lNF^a7j`eOEyYB6KLB;#N**2HnfrG zNKzaVXYnRgoOa{0C6q(5NDg-Vd1s<~^9-8YwLXe&`b=bcR{CX1&igm9t~90Ga)0N{ zEU;3&q2P?stj7!zK%{Y{Z9dXm9J|?l%Q&W#paa3QR?CX@p2=(peblS$8wuX*Xa~8LQnd=j!Lp7Y%NYTwJR?q{tDjdZm>;;@@^W+`BG(%kFcN5we9g@7Z;;M3)XLXutr^n z!M}Cx8+RcgV5JVrZk`f-)Z_!*$&7iI9U7F*V^d+OZ%DcCD^8~PtiAUnDK3#k6AgN+ zUw8S|2C>v(Q`4BaI=R#h-LH0m)RFz`nhvZ{7)^7 znoHQnV=?)gN6Q1WD5>n@-P%l!l;IvXUE6 zTKMXCX(HV27*{?4lWjBZkj!{ep||#8MnO!;8PYteaNk!9f*XP3!_eGK--he58c`xgMVb9nbTQQQ@*MMM!i}SDYw_xDT zEk)}c6HDi0AW+|$NZ&ehGwlX#AG<#=3IwnCtl-WaIBLF0lI+ZzDG!TQU_0wdXNUY4 zGw35%%c|pZKHY_$I6R_xaN`Y*K%C&?tBuA3brx{1RfVbe*fzu+`JT0WUi*oa?zIAG z(VFgiYvSuK9OV~Fg3j>Hq}hK{xtr%ibR|Rv(*|ryO3+hu_zDfk!-u2J2>)$%uO99U z3O5m#@5~ejmGEIlo%cTOQbKqrm(9m7jQm?;-*$G3#w+8v-*i7J<49{y_GW0PiOy=0 z`4g^eZ?(!@>xu&MQ*dj-bAG>C!Ri~vyn3O!=^{0}^(V?Ix7|*#ld|Gd+@;ArlzZiH zHds1!>w~GUoUL`$0}R5Z6y)3q2ZE)&aVaXmNPfONtMO)0s%cLBn1TpD$yDhrn8zkG=KrmE~CWh z{mB#i23sK(`V%LhUZH?&DR~SXHWEJ8l|%)DMp8&$PAlA0V}OZ|d{%#g-6B7iG6^jX zKQLq{P$8;VTCfsr3$nfEz$b#w=GW#Yd{0F{LSjvpETB)QsguA1sw1Iay|SSfEvDm- z8EBzo9w|_1FMZGG{pVyb|6PLhn8ZWs+5YK6KL)UvPzH~ENP!3H4m!f>fFAZ*4xfa()|UF(WTS4 z5@svRvPUN#nfm{?phm!gqF{P|bU)>4zk&-lXmj9MsqQb&Cz9B=c4FaC%gO`g>QWSO zqxuOB#r~`_tY8JcNN^>KB-f@8P|Y>sLh@ES7;A&48f_~l zTwwZ3L#j%Li-Yb;qRG@Y`>J26mjpoX*~!(FDQH-DDUDeGb(?hRe=~>ve`PiO4~Fq3 zH)lCv9d$H9+QwVXEF=-U0e5TK>Am?zPE0*CCExj0{dJ=%tI1joD4#;iEJ)@_w_{gF z?bUQ6_<~ErTVV8m?@J4@7U$F&v7EZL&2J>1)plPJ)u+*YxJj`a_4Gh{-iUkuM+ZUk zE$E1RSyIr30Xic07lx1M`9MV#hF#-n*PCljp9hXKE*C>kHKsEE(kLODX9OC68m~a2 z!7;G}dOPwmN*uHW1);LCvOul&T>!%LJAjCsb!Oa}RRh1c6QEtLKpD9iXeW)pV}&oi zB9URnZ!3$34v)5=udgf{xYosw)G(V&FI~YQh~Yw0+Jeto#GTJ}b(5FUG~;NP+It{> zmn8noV9>+c&1N1kFebgEafu93nv*jyeNI;8&Cr^|OQ{?2X!_D&$(Co`RTIaU=1P$B z?u3v%eQ2E_Rgh|`&Xvv^sqE^qu1f!EMjNp~&1-8Ytv}6e$)nAigp|~3k}~M+$sAv%7#bd@#XsMbknqKk&{f33sTt>7`gm%RoOjD z|L`yh=rIu`^aNGapv4CCXJ94%S^a$5fVRnaXAg(>tr=sD9cskp#@LyufIy0VMcff; zQCL%f)o{A+`4mRg?&;vf>_BopD6T8CCZs7cQ1jD`4WdH2BK&uYOLR<(ueY@W~ zxoG^v^P@ew0ezQfY;kH#BkE5z=4I*T`8fa#XMI%2u+A01D$%OyyMwXTqMMzlE~pi7 zDjch6BlZ0?bm6F_kToFz!40q~95!nl(8ah3s__j#pP3gZ6t2dSd2h~hiXXr2N-7Xr z>*0r1dB5$C5!SC|JJs*;12f}`vR$G{au6)m*;rIk%=hFu3!3TbhN(X2YFiQ>5_u_0 z60|;u{oZ_c7aH8_sq9I0ue*!g4$wknO&=_vud&8PGmP2+RZG_%@{!m~)-37onLUlt zT~+J>Id(;%RM}1Zj?@k1Dlr5G28nEj6(_s5XSJx~!TF3*wX68`%2WEa6OgBENF1$% z@}^L?h(xKC=}kK>h=GW+XRQI29adlPPq#?+v2CZwNNwMSMZ{t z=Q9z(eQ-R`YUX$liTs`Xq2vRGGKRc-ma$Df8RjsuS0XiG-puEPDRDWakIipJduZVD zhLG9_g8QRkn2<`({pq9Yo7XE$kUwxTR;MC@uEMtza-(!N9`Nxtc3@Nml z8xGW#dl?8w?oOS~*6pVZhA^lJ_ZD4_5N%n0;BznZv}XEO$Jb7dvdCB@rjAd&N(i$2 z0r&dqrL-2>le~Fs5RG)c%)Asjf zryuWFp^7D?6hu&AnNe2$xa6kTv45g*m@S8~S(k!*L!SKjudDp+>#3Z{*X#(di=+PB zq|*+0?sqkZh3{vOT2zLu?bBcu0^N5B&5@klxfa~4pm+6;lZp7ryDzub;MfM!f%`jR zE73Da1VwgaF6!H&kpBir_KdjkFCZu2Z~w5Tr@5zIYNciDxg_UY0PVuhUdCaw2Gu%( z$bthxa&x|jprD>II0%7lHf0^vY&A5XQ=eaIuXzOLj6poohQ4 zJyqEqBwU8>Gl`Eh{|XS#-a(pNh$rHBOM%Y0#C4`kZg^&BO&|OJ?FgxgZHa-)5p#X` z*p`6}t-O~iWf9EE-mh2~H9M?NX=9J~keyK&u6>(-w3 zY%g(@*dN6}D`^Kf41~_SI_lX%Dn7+%Sx9OhdRTPkrxNjo1lVBSHF>ZrRpYa=L;0Ixw1-Qx9OJ9XT$hNXV(+*0ey4%d3eF`@0VXBQ3#=1 zty=XVhK@mnQX^kbftl*tkx?y{!4X0<^AL`{Of4pu+7uK8*9o1QFYERN{|c`uey1LF zcH_P=rl?#}^7#S>UO-3?8nX)?Uy1@mjjWruudhVgRX6JrtxKG6Cq<~OYiapH7S?eL z(Do$TU+Fv1-WCP_XA>msMDR)ixj`#Fmt6m>FK>^H`<1*5&kdozokc*K5t|r!K;c}n z#qW)^7u|5Uf?iG8B}u;u@X=z-|7P@c_Wz;lt%B<6x~NUuA%c4n+zIXyg1fuBySpWU z;2PY6yE_E;5Zv9}9eVM8UG;ZYS6`e;Zh(EZti9%(V?1L7a}nF=>L8J&rd46gRMg7l zXYsn#C{gHnSW$_pl6qG@%Zv$=wndz9hO;xI)1?YVW^5ycHF>Onp7j5|3#y%C(jM-5 zNUVyqi#==z9c^jrw;s_vKFyL!(gl|<+Fx*xkr;D-L#=|5fZg=EBh!x2PsLo=fcsam zd`CJ*tFSv7zSfD56CUOh^~C&}^nvgxyJ_CFlCkp9mONUbDL@?Bjx{1 zvswqpsa{L`y!`Q%#GJB#@1_r8PM`IY7)C-MG-%6f$F%dYrtLQ z?J(D-vXP>i{0|KU^tE?cR!(I~UJ{@`M-Z2$w5T3&#I0mKQRw{DLj>y6sOVp=|85wD z)UvP>^9f{vMLeh7Ocx2gQy|R@`<<|s&Y_r_EBU=CI9u@`E_@rpbZy@PYj7;&W2HW7KsOdeduCmD#sn-9^%tD7CalB;0G( z_Z;mhAo{J-_3xCSLC4phcQBlS7 z&p6Up?}xd7`pLl_$}XZOe{hP-z^g=B`6<0$jI^|_*E2mL9j1xWdo|lJxLNXV6F{X1 z=)L*1q_rl5$NM#3fE{$}!F()rkg_UDZ~9|CPoRR~XFPGC2G83$_Mqb8xq{`KVm2=K zw9*}tw>9Md-CEGf{v%iAD~|Nk@n1nZ0RnBlv3ZDKmSCIcn~L_x{D**)l<=l?&*2|P zqXE-kLI4A$shA3z6fc--jbDBX;bfgd$w#4poJ<|B{JHOD($3Le%+yw7Fq_8mHZ^wK zSOkUxS%c>FoLPl8N(cL5+nt&JlS_k&zvrizKsst#5-2S^w40t%PJkzWh)}c`_(e@! z@Iw}Y{&=4&-V-Ts;IGzeohtfzsY}hjJf%B^oH`5UtH`U_eBdmv8Q4%qu3mRc@98_- zkC6^NC#gWfJVVrD$#!rRMSm-Iz}IQh*Psz!c{nsXgAxNaH2R4TzwMslV zcKZL0Jv28>V!qB4$1OY z#7yV^{n#%WHqF@)*tf?UVKO<{4U1w9WltDPlPT2wbgCtA&dp8K6LXRdDdI(vKhHf( zoRm%F@OzfX_V0kl>%W`WKMN)1hO)dg^VV#VdOigicV3=1qoj(($cSK4roo)oaz)(9 ztezUR_O?U4$5eBWt=T5{)7#1aUTtgw5_9mqNOq_YCt}6Jd-TQ&CYzKn1Jo<9!kFQmUARv zr0boV!1%MdY0RGjDNdAaUJzv;G7$~X%5C0L9`8%pmSun{EiS?#@ zn`FFQG=eSXHC#p?OGJIxr!j@cxV>XIJOnK;Q)e9*(OP<84e^NifX!+A2bIdKu?DB- zmD4j2OW_EdnKSoo<7TgaOG!zo0;oaSfPem#`2o-#$?6LJtAE6*-cgw+o{KIBs-#f- z?RrO1nv9ea!rVxvl9K;Xsj+Ea!WjN9S75Ka`%i67l6XepBr# z)_~z@A|M;2Hr;_ETv%vlU-D{_*DrdjLM-_6H~8)hEvHb`renVWjj6V+-DCt0Y~Oo< zZCB@6 zO_7ODEoz5{T?}xK_%+=8eRPUdAg$s+M;aB7Avk=1!$R{j^kuO*#FFy%bej4`D*iej zf$-rvL*MFkkPIb%%YsiQa@L5mP;Z+Ljt2%N)%ubHxDElAg~Q{r0F?|K!D3y}OTm5I zg|VRIfx*nhwZ~-s`+BUr3tPio01H_)jWK`nSosG^U*akW=s==?q!j&LU&brb(}P^f zFZ?Tz?Muia-d#IpS*fU2HVy00jMQEjkfV^Baa$GCHt}S_=m^QE;ia$@7{IN{8b_45 ze^OIZ!xc%xz>weac*u|#07Z7CT0WCAqsxW;^}@7v+LR4fQ>G-IwcWKT$JM>+;MC4^R?xfe9%?^VNiuLjC`3KU5{7l($~vflL3# zePO0VJK#&vv>mvn+ksibqEwSg8(f=)QjWdy-P!ROr>r;IKe<5{sjB<;`#vKa> z;qMWOclm0UH=pJ$7k(b}a;hEReVV@e6BjqhkTCu`bZoKF@fBRf&>(AM^kk6=0|!?H zI8JyA|0X7imy3S_!&ow>v%%l18~^z#OYdW@@5x3^qOOYij9JJhl0On-g?B6w z=F~M;5nvj=y__MyNo-AexYOe6bCsD_s$r zGo$ZQ-y4zVJ2og}G^Vm$iZJ#kh=0LLk#u`nWimS-*w=M^VA1X7a>Y5m3bT5YG_=}3 zx}A$ga1dv;wzVpk;nO*%b)L_>{qN$MM2_@S6s~XV?0nD2$Pn(uV=;UCx{~4I;@&^<9v{mj(mTUPadB|0uG+PQX#O9&)sjO?(e&f8a$z%Mln`8|b4`oz*`l*b;m3b7 z!RY3}-8*sP(=#LMj?;-H=O_XLyG%psI~vW@GqBF?eEaua#Ahk1rwUP%Vv21d8!M0; z&Sw{mU1AN^xL&R#MYGNY*IsaerrLHz2~PB?qRL7^g%xi}5qJ8O1BEOtV^QHYk6(sQ2;rybc9d|7OQ}bf8k1CF1e; zoUeC_A{3zmQ(S$scy7|*qPy_P)o$N5+_P?7wKIH~U;9S5@`Vwe%`yN=p7kslXA`fx zq2C_DihgC$Xb!w1a=|)zu|1Ll+}b=Zj~4(?GT!WJ>v3~DlFlp9PExBe0zBMu#Zv$P z@?*iKIh^~rArM>FYrHoG8798}T)ij%$asX!x_L0pMU#flw7E(*^IK%nHzzX&v0!wX z_?f4CcA17Y*DrmQ68O=&rhdylc+DC}Pf4T@PFbilT58y?uFd#wdUaM#$Mjp^F9D0#85J$95r99S z;IpB)y1D}I?cQP|GvLw$1qTCTEQ-s?vNfGLY(T=uo;AcKmuNuUT|k&nYub1LY3NXR zF82KI-Bj8kqlD=k?ck&$kvwd9uP~3TZqNEEg6XCh?kU_^`@b3pj!UgikSh6jP;g?Xmq{jCoZQ0=};oW4!EJdii%cy zKezxilRIcof(2oFzqp*7oV+*L0U3raaw0T^W}()wTBcaJ7~!VS$#t$Ez%h$2gDGd7 z@7x)sp?}%WGmpE35%bd6`NZ|y)|eQZf7i=;0``be16P!d>Wr@x!8@-<6#KnF<>%%H z7m6?F{(@|$pjk)9RtCz}{nFdR<<=DG6t+ss8Txe3V@`lb5(1dBkkC+r4nN36@0%rB zot9rUH7w*Zsr}m{pH`(m6m;&DLKro(l&?eAMP3Y0Dwm)xqdo6VULlk?BP(fm^o#Vj zbwpA+$~k6m?`!*=W@~ZEiktH{BE5IjFp=UG(B0avN(HYv0d@#K<+EbO0rH;_bZ^xH zJ!pXa;+90aS!dDrcy+Y{{O!Ia*OevGPM81{VL_zLUJ^-a2dxG6hs&c!>y){8ox)qK z3Qlup(mgBU>M-=$lUQ{4Gki?4ypuF(?0;dp@Vli>pG=p$D)hDDdKhv3s;X4Xz-g+S z?G+sT_}Lr0nQeq-L{PCi3+2yh_E}vU3Rzy>OZz>OS~`Mx*SGNcoFG;UlNXn4{WoDPg*X}H0!BN9spb{4j?SncXs-K_nDH;+S@#n zE;-a-_KNe-fudyvUB?=l;qK3Y^;*vJ=}NI&oW3QMCV#y7;cpXA)~A6!rqcV(#Qg#K zGPCQuiDHZlIGE{VI=&=lH7^;ZWh3rz+W;fy)psb+$I3e8o{&;>3&A9LR0rj#Xd+c# z3>PccB%F_?5Q_^L*DW|8B!RMH>7 z{nD~rq47s8p!ByUrXCzE>Ra7CiAu4%eyZ~75B(Ny+tI8oU+xA|nl)>(UgrV&o(`G| zlzhOpXx)k_8B4dQjjLStDy%U1DN8q}9K08$G?)F`kXJ*4<=e;V&Q3z6h%c8b(@8mv zj5K^$5htG~#@dOWWu8H^w1QK;+ZE|B1&)djpvCxJ5r3aQf2P%KOLf24t_1e_SK{8E zVB|YM%~PwhN~$%&oJ`#GK0OmqyWpoBg(VsZ|_ei1yJzN1K4`epQNlTY+zE-WUgA ztajIYDWBT+j<5(1z)9^Pp;PYK(VC=YH6+1=buwO*C?5X!RxK19ti8Rx)GtOzzvA*X zJnS42WWUSQYxx}s`p6yk+fZ4K2rQSDiMJwi*b#_&Fl?I8uF0{CAOofEty~S zLpY;1;o{YsD$TdY#sg*vS`+*GiLux z`&To35SkuHK1rfsb;UEq{dllm1uw7xL-p{%CeV4OiaZ{RSn_vO#?Y-;&sM`nb7)vh zy86z7%&UnHJ^3XiC=~hC!84=Qr+WbA)u~sJ>J)HKGF0I}U-GLoZs~*r?RWvo+os(O z{B?Vd<(qfDG~81?wL`GA8!k1Lh{gBx{lV3q+FPCSryQfaBMUq17EnO$7- z{T1LLq)tTJs*M;1+OeSicAVW}!zB6B2aDKGU-qFs_YO*~xVe#3++wyn0`NFw zTicT&lPthtadUScuQa^CHbKvPe7|&^b$&npCN6VW#K>ls)dq*cH|LUOkfTT~Qo~Lw zP+Kmww1jL{>&*UNA>y?HZJqtd?lIRwd@JM`ugNgg(G+uYQF9|+kr*pnhmTt z4e!CBD2F(caxR*l+h4eIE~F663a*H*i5)iPa`0mS*EOc$fPgpje4_UxIe757oVu*^ z_bL`lEOyrn`s!Z=vRn6#u-`-Og$5BPX9pz>(wB9mS(Bq<@yv~R-6mM$?8C+C+bo)1 zcyWU^zl(n88!skhty^gmTIN>H^hC`KzGw_vIJK@9oc^$CYXt0r6v?gq(7~>*BE?|O zpo!5O!pgf!E2;VZ+M|-gPz(e-!9a`*{jP87l4yd4{Sm>+ku>Gs`QQSHYK9xugfLv^ zz=gYFe#=SVmC`O&FyZdf(V5+QlF2hmu%9U~^QY3n&K92pk9ao6PP zUa2h@Wbhx%^A+sSS3~>ownnYrKb=5!&}^HMcERH1&*Lkf@lHECCN&lvDMMI^FMlZ% z#HhiXCBABNaP#m`={eUr{AdPO*9LFuLIpcbPG9vXEfAyk*qrICvdH?-UU_(%2<3vY zVn|-4a5g|mn_n?}Z^IsIMOv*?$-z?Krtb_|jx;7h=4iJrL2a(;Vt?S?vcBh;&!!sd zBWc^JF=14-o>u>yQ_Pjt%01DWhicr*R7YlOnZOAf@J;Tdc?-Y;`T&1fz1@fRm81d2 ziLY?YS4h?C=k@@H~B>O)1#(30e3p;)gS5Q7F^F@EL{@(%G_Lu_lt8yejTYdw(qfuzO$71kA+6^EJll?Ry?$%VH zSCXT%NnTbsJ(w%j##ExUTyRN~5_(;Jd1if}jGR`QUukM5=2+iBc z?;_xJ3SOmv`SEe7+0_&bOpRb!!wU($&tJ=t$A$zaGV@;maJlk7o=Vvw@HM%)&BDuV{xVQtD=e_At{8z@VFpQNo7`r?Z`@Utj z;R$|ugtlN!uV0j!-1kNBIgs`;9qzC^H-Z9O!-A`qb>|d=rGeQUF%c{7%?LIZGA{Q& zsJfKet8boQzWdab@?7`t4c_y%5gyUE^$pKKm>w9rq)|n{cg%c-5Uo|r>HRTAz5V2C z2yyB(9RvKkPb()IA;#Zn$xRIhel`(RIJ&BW?Fw6{Y=$4-E%%*b0fUj{xk^g^hl)2c zTj}d{%Jr3}9bbI7?$AZ8)zGq+L&pFB!Oq@ZAM|)YW9W4^4Un*%uQ=MHx`kc9eg>$9s$Z>lK743t+~{XRV=%lgUZp)fEIK+cd>#xwt?^YS zbIp?CzE936FY|dv#u63G9if~O9kr{pF2~ye)l^5~jbw3q;VMZajbid%0otGNoLgvz zcpe_~fe!y$-Hq{rqU!mn@{zpw>CiGWf%HIqZUZVgzXK20Bjz9GaBQa56w*5Dm#rDn z{EU=P_)Knq0^v*XXpN2wQzvXYd9k&|kW^)W)K?X`R_3^Kl~q2`)BJP9sHlE@V`HN$ z02WzHT6zm`XtM!}(a6~N9eU0qUNgY1%{99+fYvHDpVUM^E6f^Yg2{+fR z-MlH{9xVCK}Kt_J^Ij5BN4pz=`wYPk=`dySefln*E z&D}uVndr5^)h!XXiWjMPc3K9Fr|b@JrAXxqxc(f|cX5Vo4r0HZ&31rhDCdFeAR$>m z-*#lf^z8kM@XYn=PX@fA+xor?kcn!1UG9y-cIG9@pIOCiPQ84VrKZ>O%&LGW%vBgi zK&VN=S@LRrw~qHGDVy0!Vp$3EhQurl__6MDue@qrNMyFspgLv-5=HNM{x~0%RTus- z?2UMq)MRKnwRDlbp2zdQgnnmwB^p63K71134@9BAH3&~m+!tezN0pxgd!_wtNXT==W=KNi-35-Ks;Qxp`*%r6 zY&}*-XXkM63sm1@NbRMA46f91DX81)OQULwm94u-VcmsYTl#9|ZKGN@I{va+U(7`O5BP*U|)&&O&qPs>kbf;m-VzRZ?& zWt5XUvAWUF0%9bze0>V>w`t4PyyHbdrR#_!c4NYq8$d{-V0#gzA( zIn7fWz^rF+?nq|QIia4M9aI0TQnij2!m#nZC^~1hMRo4@+sDy`S3}Wfito9erUt`9 z)oG~^OE!LMW0d8pylA2tz9Jc&Myr9|#C9|L&0Y`Sfcf)*OKVQ z822K@35NJgEbT3OQs?4-X$LHu0iE%HFe1b)7ugd=pA{YqV9b5}lg89-RCy*Qo*)T({ z=86x&ig_^&rUmO?9!xv~q?rjNq3#ve@Ip0ogC6#3*12P{xpT-3oMT< zFC}aLaBUvgJ~{V@hC>s#?)px3vgs#VN5)@SzO~EA!nng_>GMO*pq6F`@q9}YeVS;} zhHW~shMQg6ic6P%;)(XW*`%h}6KZb9cBV~CU}es1c?TNr_E&oymp+k9d3{Sf zjeFvCq_%5k(vj$C_#@s+$JI%TJHT~x^r+1l6(=es@=^Y|3=6-R>WtUe!!Z7#)KPA! z9f#r?X*-xdGCE58)mjzplMvf3C`JvoFl)Z6&^)qFB5ikG6|62sXOK8pTwwx<0{=oM z)M6{XSuSW>T1LY-%SR!3wkeg|Oby0w7ASeG?TyMF+w9W#MnzK6>#OMF9wDm;9qQX5 zL)CX!M1CM!uFS?kn#g3tlyF=-7qzix_AdrbWoyXz)) z?6*t(d*C>`TbX`=WNhr(td@9_n%H{`-g7xL{OhA-u28Qx(B1B;=m^!Z@E%TP4FPA8 zirKh*O7<;Kc>K|eIdhtR@8lmwhYgSVMA8B=i<36TAxQVt#`uK3o*7?0(PT~uiy7Ey z@N0?-P{Sp^z0Kbl^$9$RhcjuO@P@6@NYzw7oS#@bV>jDjD|4QP!3ogr#s9@rc=Cv4Q z+M?%%kqgsDdE=cUD>F(y>+EwfM93HSWi#S5G9=xsL4EgW6ICSo)#qAAo{Ghj!$<6i zJM^Atem#9y)wRPu)Uz%qB}!iZ=t^#tuozJ6tsB-IX_f6Aoza}y&9M3_&?JlxQ7Np8 zZr8BT(R59U@b3p`Y_BHx~3 zTiPkpj2*BY%P4%p-#uJPk`?tCOmscW-XZB*n{#q=_aVAR$@%a>bblBt9pQ&Qbv}B2X&y#Fx!yH`?4T^?4cr_22R1NqQ+0MIt zTPj2XJ$!fC?&;0a*KGu~cu%pAZjZVqomo98{J;I>z;J(Oy}kX}bE9Oc2Jfq*?HoX8KL_@B z92VB9qSOrg9;wW4)^Q)W=a!D^k_ZGw@c5puCj_Pz##4&B%D2lK+HcRgBb{yzY`{YY zK~D1MR_)LVhw_wvp*m^o<#o#p9!m%W*Ec&^%WpnYTVWLKUlr9vtP&RTXdr}F-GY#T zn6xz1j$~F#91s`-5fKp)moP7{A|z=zv7pC9IUQ4%$hs?6zt)AQU4sC;&c@%--uXVE zVpvyZ84DgDuq$i$pyUOWw;}h@F5IYE&;r})nSUhYFCgdzdWxCFkM`Uj0&U^#il0Or zWdUoTcB2%crQ#yEXi`>lea&e)4a53lv8;n}&vvh=ld^^v{aa9-2>H?YA4kODOC5%d znV)JUkTRTW0CK70wxH7;o6QDLtGGSP)_jw-mO3h#{G^H59@@Y&e%wnx`}{6dLo^`} zIYZkAdnS&^U^xQ&^{xi5y1T&biwEa+W^ykn>Ad{le+9CP7L$~}Wiv*>f)WxDQDz}; z4>D-LV2O@uB~QqOmZ0R)lf7eJk#Oc?BKp|@6G5|6=dVQ3e_^;rbQ(ccRaQj~t>avO zq*nxIw+gO;zdm}WEM2oS;c!p5I8YwEMYDiE-t!r|Rg7c!`g`vmEj#;F10-k%6O9#@N~<#r3k3fw85huMgg@)$_&yfN#~5IwZgO>cY$w-0}1OgWa9jahsxEhPX zWx#y0=NrdGO&|NWDN3CrQK#Z{__-~g%kh3xki>k}&4h$o(RE%URWfEcM#_id9+myk z5#JT=_O!kj8E)>YEHK#v4dk?p&QML+gx%z9V$a|AEE2&NmzSG4k)vZW?rXu=$+UmT z1`2)GW*zdz#+0RPA2J>6KJ4aU+wV{PtijgJb=x3cw{3`CeY4zGXgTwHXhDu(@kjeT z{(Nb}yS_!UKdQ1ME|2BE2zZip6GSTb4f#Q{Cr94Ah^fXxE*aT8-aq*YL2O1sW4Upi z@L0_e9uXFir|#@CAMPEZ1^yN1ftorgBUkI&SlS#51NFPj-!N>dy*I!IkTo%R;ySlV zsXIv>(lBfg;~;@>Wz*m}qOkcr{CBv-PsL+I0tZ9N8w*=>&RnGh7vpvuAjg;5;|L~} zdF)v5T;9&N=bt-#Y>yM8lF(n;13V$EKL0T2{{BoTQFRloZjRqhDI(a!3(nHE^mxW+ z03`1_TeW4Cd=ADcdsD^OAfSPaoqfjOkMho|bRT2|yvmY51jqqj3~AcUtF*u5Q)CZg z9L-b&B;2r4_A*`24(bd#;GUQX35`=wINm1|ZqjL*RG#4n40Of@eO}3QMeF#?o?PL4 z^QkuKlZlDt7$`AF{^li^MCQ|MczVs#IMeL=m&Y;?Yu~+-!J}}=Jzl-&%FvWs|Mu=x zAy%4QuqYs*Ghui+tUZUX*z#AavXRe*o*6WG?rW}KtTLu;98Pm7-6$c5&e&@1XB$Bq zqAmSq?YHyB*HOgh(1)Sv^%{-$=jgZVr`U@%>*T$UT;J-iTY8?up8ESQDQR{F4z-?- z*fZ|BmK#Xph|F@=UnA8NXT>{wovvQZ_fh1a{g3KM+LR{O^>dhogTRt0?hwG+qA{DDY7NJ&mdJV7i zyV`NH$s+1{1;vBA&BPtK%rW6F7Fr^z#*t;Cf;OmJHg2MMA4^IxiTxh?&maK0+PL~c zQ$mr+{%~p?dUb2Jr5 zTO#lFDMF_klv?_>$x83kv31#?T7Qe-tH(&U4!~l0M_U`#%6TE19 z1EA(xuBl^GEaN#3vWN4LLsY%L-0qvZrQN4Fj9nXDdlaY}n<4OLJmUJv>*pXi7w6zw zDHyw`%&x*k@@Flkzcd#njYnE}Fv+&WmpDh4Rj4q4{r%@lz>4pic*6_0a?D^Y!NFB* z#N~ThK#a{@WDX5DElyGXb`K6wU-^+*ps-7k29xYnPfEyDA%DTceX5RTO!O)1gTMR2 z_F3nTH_1<_M;K;FNTX-46c9h`Y;Q-}Dx_o$A{?~Me-tBUTH?F%q}6W5?{YekXAoIi zO}0TX?k!Rw;ePX6*WlTB{?yutnGpb$`%h&0^fPXJQFC4+^kLOPj`6elh}(p&3gN`|Yv(hFq=-w*2xt9FW8=|E)QY*lF9zQx zgkBG+zVTx%xgLy9=e4Hn!AL#x4S{$Hb7FQlzPQi6In=Tjw9wY$^!+fo;mBCx)Ebr( z=lCt*OL7!yq@BefL)=`5?_3KUjiIVS3B&JFO-&Dvn-XX1+-_|%DLA7U2o!ojyXY(C zNO^BsIt`unM`s&dZ*Ke;whC$&Owdkem$-JEX>6;xQKYV#l$A3+ygfF3Udl!Z4fiso8Ew5l~XAqV6C%7hy;F{FV zknFJH)sZU{{VUbEzV6H&_p3~QSulnz@Xhe2mN93fJy8o~Q|a@@9r z=!DiiHupxgmS&;OHpdiX4~{FE(B>@4$s|>x)aLdI9|XkqA`*)d13T{6P>%cF5@?IbtBQig(vQm1L0P*8Xe;v*Pu7IV7!hSPcRK~xPqv6o!A zeY(d!)iQ{4Kt6VSytN1EEJ{~5U}bW<92XrZ7WKFWy4Tm7PEZ#(A2a(tKWbEu``oU< zr>2$060R4FZ4GY7=CCH%<&KPW!>RRwz^PONL&UpvNz&Mm%Y!l!-_uN!M8TMFEvyH$ z=U`Dv2LvObzC^|%Lcr*2y3IXBAH^AC?6pS`BK$txB>Pa)z8iCoJdpl0hyJ-({GyaW zbL_tAszIWRXZ;#MhB}`-d`52jNI6#baa!Dy}S*0P&_Die&B zot0W4va$t;E(z}0`IVg)w&Jn3WIEDu%^~XA)(6M`a3mY=PlXDMd0(8pLIOm(xmmGh zy1tuVEZqPhisZk*HcDAe$5PF^7fq6fimag3ld zFnqowQ-zNvk4iZwS!5)5Aj?@%n+VOpxhNn0`Qec6DUp8p_bM}`4&Q%Ypco7BFzOmU zP0^QZrH~Gvt8KDGqOlgB==DM9*yhg8#<5QQRD(QL29Uy38T8!YB7=F9O<->lw<|rc zaqht0goIgn;U4-!!=L|?WRTa zJ}wfR<*>xt4-y`sRLXL9!r3dR$bvz%Pgd=h#Yj%+J1wTB%WlUzH7&`1I7)Tt%!%y= zXN~w0iEPIJ%j39x!VHEiM8ppqK&M`NT&z>X5{G)|OK1qMrR6^b*v8t;b<@s7<^%&H zzAI9oTQm+i&a>3M)_Lq)>gc_j<{gSUuAa*k#MGqPrA@%Om4so<@a0QS$MVcZW?KVt ztp}~_UYikzeOy0VTNvSj-GyiVuz}B=9!>twDHL43R66`=%`LC86Flr~-H@HVDJOfe zkEJuESn+FL3S_AGFP)-~5Ko-hR@=%Ns0{7Vie%xkXvRcbkiVoq5*`ckekMH;yc&x& z`-kR`XO7-mDLKl0{pI!1j9Um+!@GQed_Lav1-t52X;*n>dwgu8TCk-Mw(I6A*^&x@) z*^+}ni0E>~2ezMXK)UGISb60qtvH}}S>4)F&i@C!3R3zG9yCg)sgWSyef)m;3gij1 zo*62kjXV^$arxXVO80a^zxEuaV`a0FKQCEiXy%nYDaEFFb22~jeo|QqkiCq=sBMi2 zIQ@*3(f$!gW)u48;Pt-lB0%k%3HlGfn7RNxGJaSSnc)JcF8yVzAEO4o3Vg2G%cu75LuDZ)o`@*4pA4*u$^~T#*XK_iU9BcL zXFv7_3b=~?LmK2r)zD&X%NyIdFS8fitaVG*2{(O|V7lj@vT83;#@&Mu^Y3Ie;&mm= zoNjMD=Eac?UO;|W?uW2525S@0}EBe*#Wj_veminUu8F!>($BN zAz!t-<(Otm^$B763BEA*&8Rfqgi2~N79fC}|GCEINY7bh;P!Og9&d|eYLM=F|0%g; zR5am>IF?(T@Pr`~%bJINcf(J@WN~+t8#Q_+O(FiyMjNcitjMD&Z$W7c zv`_+tlUfw&<8le`coYcx`q7OK@YkjWlV6RDbmq_A!zo_$a9-LR1j7K-QLOglDW0T# zy#L72BA2$&*!%!>2}H+Osr|7GD0T_*l%iLNEEn3eAz-aV4HUT7<$nDzbYXV+R4ytq zQ>UmN=IzToR8O!na zfk6`!q>Dx`*9|a9=Pjy@2Jj;PYO%##+)s-5qc+E$3#iaJNQ$@&4FZ)~SW%aLNEZ`9I`J1?#Oy5UeHQlHAGlo{5#9IAu4?hffv zyX4zz<^ATVffyt-kY%uPNN)X_zg%11d-LyeNBH7<-bi}hj%h{pK}eEx$Wr9gIoQ7E zin7C)?w^V6Vm~Yql8g(z91bz1s;oC^@rKS0Hx^sgO|Xcy!^GJ>vl-C($~?xt+Ma)p zn?5I1v-WvRM(25i{4JOQ;Z`I-7(%|hY`Ov9>0WM6S2J@U@Tw=Mc=Z1vErx8k-!Gm6 zxndw37wDj0)5uIlQ$r+-DbkGCTk{%(33&AWQRo5quJ$*S&PrW=B{=BDpICEW;nYh( zuK>zOJg{$Xs)6Fs5S7v;yLeovRsuSL~?VQ+)Ek4S@;60GN) z@d+2s7oBqYQ<1Bn*_^g^k{MldI5a<4)xc1~m5~>1oJ1y?!05cC1V(dzKws~Th*t-` zYKy#QM*H^qDU-mrijOJ`ih3t35;Pz=G_&IL(SsO7g6=vskt0v-_lJFxwxurbW2k73 zm5CwsBKC&y3)u3NvmtZc>Y=zHj9jC z8=sly79)S??+O7EAStG9tXV$IJVqxNk#OdwY-SE)qKfAr?1D9*sso^#pss;CH%?1+ zoF*M}d~_Gin&$Tqr5Zhti2sFMfH0XvRmv?ypwQEL{K!ruqqgEP)sv5WswsBO2)+dI9!R_)BcN=>Kj6oD*tF}(eu}KUiJ~f0uuRkeio`up_ycTUs`0(?*oROinM$J%BiwWZAX~I>KkA6jRo6G z_GWGBu5WJx%C@?eD`Ybzs^Nq|8 z45Ya%47=jI{CUL>&sZ{|M*fYa$G)BCj9k>gYT{pBTW);n+8ysrC5a&~o_JR^bcS)~ zDXg&=!XrQ0_VS5T$+-Gj-cN30)^#kIHq7A+-p`nh*SjueViZ#w&kVm$R^q4 zC#m3AivA*ZUBYI7Q8+F%H73C1D7c*GN*hJ7Mv%Ud#~{i;Us;Q*ET7wEOGW{iBlv#e z^0D+S)pH|TGl;3Bj{5jGEK%Sh8N^7pROh>o64pv&s}@lFWpqvCtl+GQ_8$QPnZ@^c zx4+6QCrWy^IWl5hGH)R^MU}3PLv6sTg+uDy{}qG7C{v`qsUw70 zOUz)Gd9kzo{U!urwQvPZQSJBlUAunS+#fDlr5GC+SVa? zJrA-hysSu&PB%+hjih^BK<#TcbL6#~nNSrjl=QuXD-pN4*>YtMj*>4PE2Fpf#t56r zp2Q+P2xRhMWDG6bWvhtiCQ2yNFLmKdJ9U7T)^zWf^z;PAe+e^qZ`Q%mI{*(b>_OVg??6#k z2^8TL=TpS}!{TTMp|MpF1r}Y?>gq=WoEE;L5 z9|n;NKiAo=qysHq!t1A?fKqaRwBqBjB1Uk|>R3A?=FAdv?|kl!@B5r-*qvc$xAgl` z_3g!|?1oRhq7kC`ZT%zc#_i_>|Hg`#f}4Vw=oP4#uJ5wOO2Nr+^t&hw`*bcrPt^EKe7& zonY)U8;{UY)4Aq`ogOp{e3%WH3tjTXCfkf;I+kbCFeoAu>cz6mjm;2F7Vz7bZs8CV zWD^HRLb3`rw3c;u2ie_n!=B$Wwh|i{qM~1e7M^Ezpj!y6a5}W`&r-llGPNbsdqZQb zhHXEsU$?dCtVgXvPcSFw-7HZ)B=q0l;8(Zt9gXTbYY&^h9h|8zlgG#>vzr5$W1qBu zQ%gp3U}x0z5vG5ric=aBKVn$lW=i_7<#*mBZCgBGw4Hu@14u6!Rvgv-v78ipW?R1# zm+86YADZ9C%6IP@?k!H1N0eR0r_zUkrczMOe8}6xA0i{>Az@|vuXL}pvqk^~90;Sa zddZ=!?+SMlW#}RCfu#!65t!D4INf>oi__{7<|O{92hpu6Xl zI8gb$25oFKFF{!D2(GjBOTr{>?>!%vU2KNv*q%KeCv{^H>}=#PoQd5eTE$|akz!|T zFA0rBDLCMT=WdlnIO4qXDwQ^Bq!gv`<#0(tz+0doe)8lYlr<&vrt#IA3-HKb1<~^5 zGaJArqk^HTXAMxO7vwzz$@Q0}DT6UfM?`~5^VxI*9Ve@ODruII^A_Og6}uUAI^DNh zOLN@F;?ce9IkbKH6!(tkU07j>$*jfOG`ys$h9jp+c_XMf zw9HHQ>@S4-94Ct!kC^htW_MCHqL&r~+>G(Vx<*tDkv{Zu#&PoM3Xz!4r8P#AQDFc5 zp%N=?BD-y}eUvUJF<{<8`1lJXk31-QNRe}>tK;SVJVKAWCfz*kxOr%}`bkJ2Zqvp@ zxT9d(vjY-Ci)Rc$NcMExO-zRwlLP4i0%-S~T3(hP*12ePaJoq)|Hz$EaJi(+`yR=1 zus9Vxg_et|6iRbX^o$~HU*xgZ9z=<_nvhr9 z6*SNHuXpPQ`vN*4=>U|kWw#*p?Q0D=c-mo5rRvU+7jeeg=9qri##d4R=UZE-F$WUczXK%vK7 zY6hZ3%gMCbvq@Xmw*EWd6wchB!L9xrIg`+e(#X#h%_pusG%bJ+geo%-*`a{E<=!*( z34Q9`AC#?Zi>iOaH*kU|34w#|Kr(jeL;MDwTTHqAEd@>KPkGh3$&vU3-Cjc7<4^5M zvL|)vUM#h5@M@1H-vCS^?h5fsdRig(c%hTi)t-du$!LE+Pvf1q%x0JdM=o-cm|I}Kqpf&!`{l-j!))$=_TNHnlpTJa_H`($x7*8jE1hcmrmv-z|WILd0 z*4=yM{9jz1V^n5;-0rJMlj|QQV=^b(wr$&WXG~3)>?Yf`ZBMpsTW8PnoHysZtJb|% zt-W{q_r-O6t~SW6oosTTO3S!zFrUF2Sq_(EL)%-!^eeihfm%#1A1$Ys*7OEz^`N0| zMWkS+KdH1vy0gnche8w+YLx5t)dDuw%cA>datfVI)4C8j?XXemn1tma07>9crLeJz zFG)(K@czNJ$qznnH@nPsX=cS{wG`fB=P`=#?nK81Yd z@}@atbWO!PC-leHQ>6urZD zgJq$zW@Rr5j!GW8WxdF1+FovC5^V7P{mrG8rDywaZ$qn!U`^2?^T7c!h7Y1z(*a9? za;;kNruzUXC20ssdL%;p{kx~a(%~BQGO$NSTe{;#4UyKQFCoq#WNi=grel+jELZ`Z z{>3^Ya;bMVQ;)bZl%$+L1%ZxqKsVyzJ{^5aoh_&;Ir7PPzEOsH2ZgVwy^xzeucy1zK`bPGjs^o=X=iyH8M<=p^v*(ApG) zt=*5$RhNLhp}xZ$n^pVjj)ndpRDt_>TLN_!RbJ^5o;zG(GfT;bOQ>B#YLxOU~KX`Cg=OJLzoN{#a@}; zW#LKj{?aNj6O4wMr}pL2;JTV#C(KbRSt!79wi2ZdEAZU-6C~0r*4Q z_K%m-c><;e^K(%uS8uHl%O_49efEK=p6C!QX;n3K0{!2e1f|&84K}|`6;O;cv4d7| zCi4*`)Uq5(gzHaRsuU9Dby3@NzKspED^o&}`E(%M{bX10mM04!QqlDBjeJWyL%VHr zAUIh`U)VrGw|1pn_6Dzz^SsO`cW`b1!3`-{w)ZNjRZ=vO?5`zM(#NzmtZJ7?jM5z_ z7(2SDs*t%wtotkI*|h$ys(rF4sdl)xJ&sxt`fdD%`PaJO2A*ILBgLhrA>S*;gmcL~ zaenA~moIhLW*FEjChf@!6uwTIGQHI^=YjG8{xd)QUM9=1P-d>=)@eB5)!Ro1XG|v| z_|G;UvD*CCCYSpob!2q|BdHr=xl(DdGQ<1UyF%s?gjWaTWTvnyN0r;#&wHY!b^oOi z&wgO`bvwmhaMx88slbjC%%E}8U??63dDrn1H0M6KIGpPhJ=cXvl`S~dve|loH3Y?N z8!C;DU9$gHF12UT)1|R`LErgi-nz9V6)s;B4)Zx+0-?U96UBI1ASkBgMUAb6dV4>0 z3_Q2yAC~b$G}wW81ew$=;-Q+D#=Mk*r zWB2FiS)S*0#hb8(U(Z~%4aRk=w+LTTC(!gSxC zop9Y>QBPykQK-KB#hxnYt|8Nj> z)|n3QHF0usM&Pnf&eg8f*hH-&D5z#Us>xU|gTqL}04Tqwp$H5Eni@Ey!BSNkN`|7X zO}~jwJ=wkbZ^A8!-_@S4mngn5OnubbT8zS9*V~D4V|`)PnVI@oi7*$ng=TWMQfMG> z3;v5ENTHZ+Z|IhPVJww5K*yuHY%f^X%MpJ+7t^l|^J(d6(Q>17Cx{&6tUANmjm?i` z4JSRe>_k6LYdx2g4p8IipZRHJ6jO;9no5JGx;STSeFSKbAqBe`?Y;*T$0xWhZgJ7= z+S!XX35={a919^Ci7N7lelc@fhozuVFKqBgk$-s`h-idAI$MAt#P!3Y(^dG2sX<+S zRR>>K=EW}tBXjVc$P4GeC7 zvPQX8yBIjFj?nUVrccTF3|4m=nq8{z{&1nh#$t%;x+Y8?jAA|2VkOpEidjD~sBp zazU#$uQ2Ipjj@dAc_zsCq)`m2Z^g@bONq@dOK$sGE|ADGJYiwOzESdkolH%NmA38%!AEx@Fu9Nx_lCt!prK+{_cg z@uR5DNUiM>;Dt&-O8N^hvHu%juQb_553sTarZAhQiZpZolwwy`uc~a;YQu4v6wX1e zIXJ@sxQ5G_)fs{x!HJpdm?4J3BTrjj!T=@-4-I@`nW0l^_!(Qg1OGcVi0W0rJR`5a z0rXx=zpuZg)B~jw0QKH(eH~d0nD+WwS}G4R{k@)!`o;fgSETnCWURPL^cHLh(y9(c1CmRfj|>lFH|;ho84$MrSMK zy%-|H3LRG25-KY>_-}q7_<<$3GUz4G8qorOi(}MFP{b9st5P8#>~g|i{~M07V;7Pf zh@+}V-B_YTi)oAKa=aiQqRpVE?U(f5@0R?H*?2R5hvyh{g)+Oh6#1r#US-LGw6cL1 zt}gj_=WxwiecCR(4xL1Qh2Qa!P(Iqt&hpv}BrB5GezH(`p#8cjzP`!HsDFYEVDn`) z1SuGUk)>5lrl;hM;OMMsWNtYWSV6FNJDYVoaLn*+$va!~GledVU3|R~pUiwxq1qIF z5}DVeu>nEQ`cPPJ>qk2Md(deLgXGDhUd7}myCpu6suifZTr^}$YG8=FT+{xP(dL}cL%@pCKg|JuN;+TnV$}>Et`7RD(U?XD%o5R z9S$6HkWS@DuTA(z_LVbJBxjuK{^BKBols_EIO6f*q}l0~m2-=}KEysAdb*^fn9%G0 zG@A0gtD=P{YIRMXM8*rY+vF*~*{zo3{WaKz)DWW-4=zzG(Q<)J;=}0}_JI!`OEN{j z#D!Cpt``{+m`eXKqh}}EU|61r1u7_Uur$xJ_~kM5pC;-L{ScOiejCI~`^dej_>lzl zgrC(7Dl?qjL2VGaN2q5~F#1L01!p>uifkoIOG{~d^tz>9*TvjH{cj?ZrWwLil!#8w zx)XV}1fmrx&TOZ&FiJ>&BztL8%-r_vS^RWjiA@^QApBEi6~Ve%;ZY9i*F7ZmQef zx|Lh0YbuM?0B@`%#rOJRp>_O2<>eup(+Sd6tB>7>7IZ05W37$es+69K$N&;!V#l5MSuD$#ydHo9$#F;jl z3E}8}9f3zXmol0yne1$tMIzd-XqB3HrUW>NheRoJlXJ@Jr;7GO> z^&N1W`QgTJY4ihvpycwzQJ-$*Lnq!)W|S2tJ>hcc7bFX%pf-qonUkI!#iqXNB-L7? zov(d$sv8&@!C6gs*VrG*tE;A9|LYH;ZOCTwJuKe*X4hZ&}&&1-1-a%z6JQ}lV-v!0WQxS}#Q_sxfF)B6??pj8j8tl(H%Tle<% zJ^>6SS*lgrscRQ1jmEYnM{tYy6&WG2VvYpQ(0FVLS*jIRji)CAd;+9giJpUCOBoGB zL87+#KCtHW&z@{965uLoGkk(~|2;sSo8)zGNRys!wgY=?Y9>U+MV?`?R7F&u_^CIi zKF`;>YEBwJl&u2W?jTRYb5=1-Pi?Gja_%*v%0|g*9)av1xDp_KVHM?ONWK7nNRpIj zxY~paZoO!PVWN?gsTz)X#HSU=*Ul^?$vEm!M?CxV;ZZP2M|E``?H_u&%qlh|95g_& zyig%U<=Ard1+0ZQ4@DO5X`^Qm6)1pP2DId8gixW#Ook-hb4+lexbkZVqs9(m8Ia=C z%gNTJerFYeD8?5@>Tg)lB3c81vEeJv{hTsDL5cv7YPFzqEfNwE_nQ$4O#qQnV%koJ zDjNGAkOpzIwb4_|*?!)RjY{hi{|Z!?g=pu6Dhqd(v=^0YF^WejY{j>^HIm#ayHD?y ztHX3-y#u2e7X)9dnluu3jMuD9<;oM(c&0zTf_+51F4(AL0spEJ)1(G@wRwQ;u=LQD zR#lb03b828+7^8Bhj8Fb8e>Zab2yUsZ(B*?)})H-_bcH9Py=nXnR$qB4|nLq7ZfID z(*2^PC%EyH^Zdn0PA9ssnf4WVg>u2+xP&TFZZ}V;wp`lD-ke+xBhXQw*cgaeMM_jv z>vdTOw|_LaqjtV%n{x8!ulJctI%}-Wcx9ErIr}ID4K2AxBCJlY9eO-l8Eu(*M#F@i zI->zNzK07bon8J06U=_<|5`sXVx~KWa+mb52PNH;K!51hysx2%{!FoL4i@|r zC0J0r&+l5WvpdfLkyceOa}uwcYKK`Ctv7coezxd8_iaW@Raf)d+6ugMVn8!3;-L}( zL$LmiXk;x`26s*D>TAq~8DT=Ef_B2JTRtyK?_pPd5iC?yM|OwpitwSECEy zr%(_gk9-rD>moYo?qF@6o5cV8SdegH)zb1}FTF?asZ3r#C|6Ra;06JVeif1x%2mZSyutOo^aoYYg@}#TZJ||aUBp^+-bzh|%y!mB(xpJqqL9Hsbw#mju^RF}9>3`C{S(u1$!LrPb zFzLnWs|9M@uzE4SW5@{>*S<7o>V9dksiYz$gNU&?1)c+Sl!4N0GiMDi>SNVyrSK6f zN^9T5oji6wLctVVh53YfkX133;2DG7uK=8pL?FQo^hCp$%fdVG*J?vd?vG|dH8G>)aOvLt-AqzI}kS)Y}E84 zOm|gM5V#NPE^C8u*7EvUh7Fgs={{da;RFkyo042n7t7Z+cYJlq*GA}N&Anzk<0s0n z?%xP#2C~+6*&hmD*?Goc{NI6CJyl5BMG-Yo@96N96;%}_&ttR{Ldgq*ti=P=72VQ- zyW>hOvz*3Lf8V${7PadUr{PH^tJJlv*T1Ff)wEKBoUNc`j~B>eVVaT2NIP))r9!-J z>Ps{(cT=>yD2#Nue>S}P=LX~ZuLf>gi;?`VG5FI+9BD!Yv2dyV+ zaMNRv9`0A zgByZ}r*)2JP3c84q7u~g5(83R?|KaPBr?w!=C3u~NPYuNwT2Iv<62)Rofa|rUY>?# zTdI<(bMc%>uz+INv9j`|V{S7izs|%K6f!3Ug-{&p;FOap;8RxVJzLz4<9{ zeZ8wxkr@P!0{PQ{p8~q!L8J%^=owq*cLhs?9^Ys};mE?)S5ZHh>ATs>&P_(o-mCxS zZ~MM52TsinN@EhPW(%CnL>pz*!ze1mPH$7??G+>P29Uz{d@R|(o>1^&)4*^nawjh9 z(0vy${8LscQnp*sHTC66r7K2kRbdYATSoFKpv~xfz2J@_;2oXL6MqJ{Bu7g%jtMvR zXX&FnL3(q$wx^NF70HqZF7-}(E%a01SKBqnoQaO3q_-Om71McO!>^|d{WmKE-~W8+ zNc<1VS1Bn;dA!wXs8(v`nZcC??E70}IY)+8O>$(u(QSnSwTg_*H9y!#M|;$-fFrJn zN833#v~YT0*f^}vm8K26F9`O+DiY(?jOZA#gIJ@gRJ?V@O|GfrrN4KO%+BowEd%9- z3ci=61*KF_ch})8r^5&bmMR7@9qN#@n)<+vo1n7FDV0b8Mv1OIMECpLP;r=5W9skR zP}^X1<^9=841ys(uzb)rEw3)EF$Haaq(*_}O!aX3ofrF&Fd?leGhtjcbO&G%1)DqD z@})@u3kN+UtHOKhrNXiM$eu8H0Cm`~X@4Kn!dmD8)Z4bdTBxqET#Ps?GJ3x{vXHciqNgPcz+_iQ zQ?z>AiHl6J#}2}@eU1lJf(B1X2Ea6z@b3(ehzTfbd3O}X&I#>LZJp$AO zOio>OU+onWo2587^XlPx15A95&MEU*p|Eh9fO&yQ*Fa zxN%`SPdmMBU=eVCL}1kWUL_jr$*K5?=oibMOw{|In*a377mSV&U$Rqet-rS%qSz_8 z-z*E#)zm3Do;VTsWt1BKhNfYC8OrCtA6U60W@vhFhJ`3`>wuGR^(nWel)-V8fg_!4 za?SUs-y;~aWW=lp^gCZ?!9U{rv zeDlc?X;zGHYZG+hGyGW!oSQX+7>pdW!TrGFQd;fumh*pb#u`pLP*Sb~^{yA=f3kM~ZaZPUjBNNlJpFIdya^R~v;rIN8?QjJ?#GaHAaS>UKupm_OrWu_CQn z99fOJeunnYp|Xfl`o0VnbFyS+j3DCt_7B~RGFM1gUo-s!5_B?!vx{2N-_SHXPcfWp z9YnKWpyC_aajv=xX!Hl1*{n5T4Jq}OBj)Uw7|!<+c6{ORs=5jjz6)Z!}w zLcaZGC-806N*?e9Bs5zlpIBtMW8w%Q6cKtoOJgFkYYJQf}lpvicfZ?LMA{6fS8dJ zjympg7|{_ngeFx(ue7z)z-g0XP^048ZC&$NAo#)5%=zO-Ohm-#>#T{n`B<1dqRx0y zZHpFXlTg7AeJdCJ&CWN^%PN=avw%XKzM1dR*mq+@1e3VXXX|aIqHUiOO&d3BgmuL(gLGF z;|jCsO)m}-Pqj>+41ES4$&`y19B#6G9N$o_f!f(B6-`e}*LOVevK7`TCwLwK0Fhl`3r7V)A}e@p=Nhp?&|5GtFA!2L+%@`1 z#&SuF-@L>TmcFqdVhb)(lG|>~94NPp6)&k|$B1Nw@mS9)>m;k(M>!ylK7i{RNKZ>E zQlYk}S-hGuoGt-Yr|DHWIJ*$f5bWL4esK$Uw#7yE++Q4hTc7@;kuNs^hENgj*0ddd zClhD9btBX3?Kjtv4()y{0R?1a=2J@EFZC&vxtNqHdr*-A$Zsj+Eui3+$SNPNFsVCF zi6op6rRDJA-#IAgJky>?J{=*sSgvmbZNbYh1cvsbW;^h?!_<<-_9vK`{8vA4(efJ! zAD^Q33$7lm^pCEoOLx4jU>zzWt{F|ayflR%pfI4=bj`kD?s@r9=nHk6QBhKv4?MJ* z_7cM$Wx8v_CCsbl-Q>yYLy zX|T&|Fc&4iumEfb%_%2QWiKH-GH>|UR#ug5@kgM%rk98(f7Hp+SroigWxg7D2oRYE zKEpl&j93kgod?*9XOB7DuZXs{x5+WCK;Nm^;rx>(@0GzdN)(tn=iLXJaOABNslDPJ zVwC;}fh5_I;TfE%chR9tp={*WCIz>N&Y4!G2a3W4oy*cQYNDG%-tPTkZ+GQ2n(XZl z%1Tn!Vy4rhUQ-~Ysufq5vK!B-D#^K_rEUwtCI~8IDNK0tP!eRU-K$Wq8k z%DI}3S{*N}?8)oXC9xj)T=i~GI0!4`qJwT;E;Vu~)il**EU!nNx5fXSQdupdxpMct zY*ArAR3X?;{9-`9KL5!nrmlE4zAt<-RibRsT6zr^GDwsLAR1+DwrKV7B1c# z^^NrCZz+cS$jAF6SlN`Qn=o`IWhy?;$l$fjf+XaYj>=04cbb=aha!7vH;}klwfiiT z8m|)jVh^y=@{ELdd26)y#h;eai% z>ctUvtQHj?H%MY--#D6g@MeFkrm2ZNT%n2P+4MOdU2bt-Jj-Txz~& zG9|I($buOY^2c^W+`os1c{le3#ir*Kr3}dMruHh(xbj7{?9}labZZewqGxj$jFgbu zN-VvbrznIh7k7`Gxbr6Jb8(vVlSr~Q+49e0k z3pmJzUmNo;47$U2d6)US_~1bO|1kK$wgEXijNF5L|Sle#h+g!d*Rrm)tIp}nY$8EV#9SV_Fhjz4i|r5&s$HZ1pN z#jH+Z{vJmBALR&rMNu=`x?pv0FfQHmi<@Iuke-4XY>gL=TJ>t|Y*#?1j*}zyH$V3) zCAL&1{7fXZ`umbkqNl-Miu(6@9{U)2zR#w$b#=0IQ;01N+Yp`|ng3AQKypZ}%`y|; z^WJ~J2lh)DpP!!*u$dtJ{QUm4jcu2mV*rot>5REA?L8%JwEG}9^pX*sf`%gVl=l8j z%hd?OQj~R(SaD@}$KkRAZ13$ZPjkNwBMr?@P$WO_RJR#=1KHm=A~sTGc1qCWYcYP$ z{^W_VF|~I_MU4^_h&_v zAWE9%Yp1rVhDLUmd{~+C+e;tf>GfPvpJN;bv(9&@lCYlpcuK|pGE$`l$AROG)LOeN ztd$At!%CpUPFYTE&AgA0?J40L!>+PTm^Y%z8kA-L3^1Mcr2wLRWOOugg;ql@0BV>g zC?qE#2>|@cKTL*E0s;cQ0YgpT5*<8-5sCQ&1ntb)S|+tBJy{^J)Z?FRoYR>c_-W_J zK4a30jA<2oo{-pdPsf*3C&WtvkHu_f>UCWx?azWYXx7Ye+1N(^45~O+^FNz`d(fL9 zq5irjg0ygv7NQEk7Wdd9VN66U?AG$Y22sFh@_t(F86zyZ>?=BhrsvA5EvVDT1CGQF)&n>20?d!yuTg;5W)tTIDMy=nn+FkvGJUAEdxpR>!+DM3CA;K@L zLlUKWHjc(igQLW@w?f^c=T_yO27WwVPy9_tbS9@lwwJ|B8W0V|#6&^SDdLnB4Q<1J zuqrWn44MPlzl1=BggxC7_V3DWaw_d1T5De#gP}HuOweOvDteSkveiSc!C#x;#S)Qx z&l?tH=)@~RqoT|P!Z2ucTkB6+=H}*3OU1kZUNL@~=Iz|fjFOae738KWD0$JU!Q%8= zggYyhC>6Q|yuw#%?+PDTt|qGDgrXbs7#|eg4zF5v4~8zCx1f~mCi+)o1AaT&0SdX8 z+gmL>a(OWYy^*=;)6t3V97<9jg^(q@1AonoQSZ4#h$t*bK_xH_VJ{hXjmn6V-hZtc zisPb)!S?mGL&?1>D%Z`GjVFEBp!F%Jc=;I1j<}X@SY|#m^0YLI-cdwj*YxujH$OgJ z%ib>+OgGG;l6bg({2EC6u35j$!wZpd4N}2v7WB)~^Ytj&C!}(|qan4e zrX$%pu;j7TDoZ+CG2=zEmAwJi{;K16(^-klu}Q$37Q-m-^^FlDSTA{+_dh3R=Vt(V z0nlp!kc?jUz(5edtld67maH=iPMq}p7hu%xeoZ%&&hMA`x2&@VNazJjgFVfTyMMS` zOKW!2uYpZgox^tTY363FsdNKGr0agb0|Z!Q0F5@gJ?nCNq1ovIO)V>fHBxugp&!`~ zDil*h-ZV%>(&0g9C8eeJ9vJk7%B)Xy17ts?WXI$QTPh8$Iv&HYYU>;QZtMc7DaUXm#wYWW7$Oy@$^<^Hx)2X;p!*O+y8GhJk6(#H7`J4aQJV!VY1tX^o>AaeaiW7M+a+ zLyGA$-&Z^wA1V7L0c6N|9TnptA8sItc34n)N z)|rD&8SpLd%MOH!;RB|9zNQPc{$bVEmKYeEDo{PpGLs0Ss61S~x!^@-bss!?Y^k(` z4VvzIPU3OG9a$(V7WPyQf!XwW;kx+ZGMn7!v`sxIrr5k3d^`5k4n~Zp_CJO96^?cH z7bI9d^1}J}oLkx$Yv`Hts+hN0ZZ(D1WnBeV0HyT*6%1A_V4$47dF#pWAD+#7oql7x z7}PtiDfya*o&_{xj2<^8|B91}(Cuo&KKCcXzAy0W>+6ngZtNB|0I%T-G(t82)&cmq z&;zXCMZBJOTL5oJuxws!{ixAyU8+p2!tUe%qPn)Wcl6}NssR%dll zWeg^>r1_y-HRlK}{L#@;-5<&hiky1slt7z@zJ*SnQzL+Gz~C%gS;#B?6kyHFc1 z6miG|utT#wp#eV)Gf;$AiF7zZtopd_;;qbU_z1E@Yt%y8D&SUsg|WOYoFn*7On7XT ztQ}7NRC<#T0x^0NU{tvci4$FejVkl!o^g*EBs&{>F)TtmpEbB`C?=Fp^z>qyW@%C) z>KK1M%Z%QW^jtJTda+f$I2I26^9%-Q{N1 z!9-de06t-2Vgi`G6^#o3-y{O);*<+zw$GO9-T)Z0_tSRBd^sngq$y(7AOWzFFxHaL z{PG(25Njg^T+GripX8F(E}+xM@E1?A*6t<-U{HfemIBP%Y?tyC zwez#+pwlEqxv}62Ane7d>Q0^H92<-iHFaG}cH^52zZh9ksnKcYvKd!3Q~j?{!O)Tu zkfgL5>gM90Lf#n{Fa-C$Y-ZPkQslhy@@+;8qqKe*A?9i!PP|()gkU??H)apa2O)s3 zL_x#j4u=JdiQ~vM7e?rbTS$q{NJJO)O#TQ2@16`-pII^`1r}E2<>hu3N?{QZEK32( zxc{CqpzQ=|qrSyOtbYj);$#5n&StqbXlY4<%k5$u*!oQY3$Ev`&sYBVF=g#~E;>gK zM}b*o?>D@+=CMyH@n2lXpm%($UhQ`-B>yksm_#3zSS*| zD^f!y@uEa!B!)RtJ->m*o1;#RvOYpH^~>iSzu)&WW*8>CBnIG3PsSsafW7!wi8lqOChj37 zC7)05jPoHXEo~{BMe2V*dyg4m1K*7tf)*-8Q~XXUh4C_t43_;QdqQFl3ryoEr%$e{ zn|irfk-%zH-${|@lH@+*!0^JmN+TqO!j>|Xtp%0&gY4~bN5>Q{l3G!Yyv8A|DFWp? z5;R2s5qlCfl{h;AogU~}hj+3`q8OWWVq7r3)y1mrA;OGv;zJUsj(co!zsj2IWx z8<|{5d@LUO$<`W~`E`91CtAgY$F;=hIzL1TRSX*bnk%DtY}&N`W{U?*cv@Qiy?ac% zO3)S?6F8cL0KZ2`a4O%!ZzXSJI_MM$C2aoWQ(fIeJ9=?zconH#IFSSIPhPMGRMcWS z)FE@JK^H5rDin4X&seu6o$}VG6(S`3-xkKh567~pD&oFzwJC*@gp_P0%mI2jimr{{4_wq)hLT(+GOw+3snj@_o_3GST z(G5>rTpak<7!5|m)#&u*WHuW&*d2@n(h}gcwY8PUC}+EYvG?)u?0^2YUsn;hhK_wl zMwI{=U2D6xwq^t|`6u4LEk7mg@u9A8QaVx0yw=O$G3Y@0?`HE196Om9@3| zx8q(_pBfGVf(J~wkkmEgJz-h}>Q%t?Y?e7NvJBj~@ha&}V3h=%r^2)hVEE%{I05{X z;}RF4f4E*=cP%KZ3b?i{7KQ)@D7*{6Gw{6M&Hh6|(d)MUks?nK8y4^bq5>2K0C6B4 z@MZ#ZJ+Y5Xv5`XdJ(UT5U`Gejgxuk&%Hqyi5qWE)sAX>)XaCuIBQ{dOC>%+3=U}_n zGnTZwF(oqcwcyYNVWjA|p3f$>Jz(|MGR>W@8n5RBT0*j-cr`%5U)qLuB!-1sLbcZ& z_hO6%|2z_p6jz~COy_`8#IomnP|#rmj_h{)c}VLS)KMu^TN_+i=NW57O32=-$Xjp= zZmH5eodl#JU%PMHsb~Y7)gZK^(Z5Z2Qt7Mf4O|^MMTY`1m|#9adrz5VfQ~^EKpgRZ zdhbVa`@XsB=;~T7lw$+tCzcckrpOTA&UXbkDPZG_Xk|zY3n7Ogx^m;oY6~CEq)YWW zn=iM>3JB>@=xm0O5^2BK74dg%e|r@v5rd|K#!YvkQD$aKqFy^Ag(?DMF8Vg!ZE!X1 z>FHU%5GRW(&aA%lY~zH}(16S(@0!!QnywTy8eN2C#D6^YYo|$@{bAi(ZB*}kwijPC zf6oe2JDBZ+z)3Y@r7G%HQA^;lD1Y;@iiM-|I7$TFaNT7%5{AOh<*~B-p7(ffp9fBA z%(1rShcseQVT9r*XO{QPS6|A^+rgig2!Ul#+{*}oGl&|3Ik|gY9^b-1hGWV z7yvfoupPa!b46R(%>2HQ_G|Y+fM1hhW@^~X0Mu)aFfj3@`+5&DuoIz#0|$wkUA+W5 zqbK5Qmp$5o!oa(BA^cH=C$QTmBUX)s<*+5l(ZjA9IsrnMv{S~ zfuVA)t+n|zet)J1hxG|vKo;@2QY;ca`jiQ5rzkOQuv-4zPD$YCR`O=ES?UI;2G~p{ zu+9hL+rXhuj-gO^{iE9Bd`*`c3(Ka>6-waAK6zwsDT8DHbazeQIhK83P1STy!mcs; z;mCa}+F)FH*f~hePtY+VWmQROtn`*%2E%c<*fXz+J$J_9iw7sYtGq2Mm<)!cN3eiH zlNhl3yQTeUm1^b|F+$&R9>*s{4wef)%)Scw2}3mY5?M4`SwRo-6i5J_& zqlLRO1td6HEvpHp-f>Xq3OJX1lJDkgr^#|mO8{kWW`AmQE@hZ}^wwR5v~NMyfDdx1-?iT_gP)g#{f6MT7n0*$j=t+ z7>CLe-^LyDp`GHL_louCrdd%LBPmIJK>gm5n1*lhUt4cjb!@`dswEb4#7*Aoj8|buH=gzTW14b zSAPZm^8^fWC>I2qZ2#@wRhG>M7C0Ylj}KIn2A}dtrcs^fDrHgBK5BLKb7SxR8z&_! zI*4w^J4#x+>AMc&~$q9P_u2ZBZ5%7#02NH}Aql``NnsRIWtpjQOcGUM4mUZKr;D+V{WWSzXE zr%|KDX2K4v z0HdM?SL2tw-ZWycw5bBd_aWmqAL{2Ms>>HDd17jG%7=?zx8`6RXjy%Lt&vt0ZV+@6 zwDj#4yg6#3RDTa5)}jh7*RyokRBUtlDe^=5S9(E(KhWHpCFUbI;H^#)9I&gHJurq> zyI)Y6#KVrUALlXLvSZImLNAZ$w7u*?74IkMXleiOdOf&K@jtFPyJAWdIx<&33-EC~ zfQKj{#p)+T2bxYSLp%h+D0=Te_WHG?0tM$}@pC2aDlwH3$%}VP z(G9n0n@eff7bmof57>^x_-W_SH5?dg_(7MO{p7r4%?9SeQmeWgM!tPOZ0`L;3`Q`; z8$Md#sFu^9LiJ~cJH`%tl6DnSR7{X6>#VaMD7wC(9`wbqWj3$q&Y~~#qc~pu_%(s6 z;QN7UZr;^bTLDOjw$D2p8ym`NA3}LO1D$u=a zQ(oBA3aRyzM8sf^laFUaAV{<-m)5a6F#e^qVljm1w% zBmAW9c^NKzX+1nviqSc_z~Wp>PSx}WI4$oi9cAfKVg!|tt8PyX`)J+IvcxiSqbYMI zJN2n~*4j}3F!e*d}F6zw-b&ryP{ z9XKQhENK6dAO9(Zn_F780aRNBVjvN0?T&Mrv)gUkZ%+KahhOK=RD4MvAE7^cU~3p* zVLpWMj5N+O%3`e^B`#QntslPy$ejn^Md|ZvP-5_~7n4nWIt7d#9I$G7i*#g;C(?{) zHz7fSS1lfVr%V$&_W2*f9-m14t(mr>m`(XpsA61pC@ z^)dgBF2?iz%jOnt$EhQ#V!8y_G&Z8WL*mw!@1T~l9ELFiNWra2A}nA2r2e1Mnu|1i zV5s)OcWe?oM4G;yEVT+>6{BTe9PxJ8wo$simc2dU$Wt{riS2KZ-OtTfWtRhrf%82W zJG!0@j3*Ev*Ap;&dAxamSE4mt1jE9c8@%snTL%tTkKIUi_uC0}T-pB=QeI56KLz;s z-#NYFAC#2z0<=_b*)eL|{3NfJ+hzfiq{JWr%YIOENr%O`jgDuLOy7SyhC|KtzHiugm4H*k||_|irQ(dU&&?3rGTIVDWzaNOHso*KJ+#>0rO)b-tzRnE6vJw z=RbklSX`gqVc*BfQK{k$-S}Yf0~?3?{~GG7Ar8#2Z~p>;a~q8tfGWD0--G{4Dl#w_ z_nGRX?0iStUNWR)fKff)@Jwv*dReFiMa%5&{-pQa!?M11QrN7wtfFU6{`HwAHd3N& zVEFT~H;7}MzcrJLl^2k$yy`NOnKWxpj;(L8hTd_0+h^ew#h zOsX(tvNto}z%3pNMKH(S?+!DviO>`nDZtQ67NB1sC1PZy0XlHz|HtQMk_r|;aaNG6NB)N*}3RZZ1+DRfXvf|JeU3HJK@Td?ZnaF;;WFP(eV(!Vf1%G`IRw;qo;8%iU+%m)y{+OY;66;c0#j zRPR(X1g%I%J|a`4jV3fT*W^^E3lGAV#VmF~&Gg@kv1EWE0y~G~Os@=-*X{Si0~{6o z`A$SdYyOAyt^u%u)yj~_PNNgN03p)J{oXN7lIU=?%3nlFL_XifuGXX@xt9PiZP+b%N#j&?!PTqEQiDdAUkzJTZ5i!I z&;DCebJh!bf!Ya47Opp;W(A?>?(_idHT!|ts>jF#Yj&c|c?$;clx6umV1qy)psNhm zZ7WsZ!+;c2^S%J%@^tAR8U4LBqZ3ttpO@w~!A`~4&a6Vshb+%#fe);GT3Sr(^ns!U zEz3JDF1|>Ci)+Sv;)GlNxFwam@=is`I9;CXd`NH{iR1Z8c}D1cbru!q(!j}s77h*A z;Bx{}<2=e_tzwI{mH3(eL)}}(Rr$5+qLiQ@CEWr_w{!|fcXvp4cPdDiO1HE~cXxM5 zcXxN6G5_y+_de_Fwa;(uk9&S~PMq_3#xur!#eLo0(D)_A6nZ7iqx&K*+A(Wg04-@5 zf>C`01eO+DMoG9d0ijPmj~X~lk@TlpuYr=e3LGu8u&{S@BAe;&MWTaa$CHkT;cNdI zCD8>mxGH&VP$Ba0JgEAHa97%Mti>?D_Fwb*=-|G1Pl}lf;qpTKuY?w0lv2o_| zf$);p2{QJ{qkENX=_@3`I~(Ehnus_fc$M8pMtyVO`1k!w@q3Yc!mUs1ni5LZu*YDr zIs~U8IzN+TI8U3=;bN{?XF9X|+v)NbR|Mtv8gMoqaL!x#+(nE#lJ-28ctulJ;DN%S zy3j=Q@^CbtiTV^ZC$8K3o1)|b%BrAuYj1uWSxRN1h1k)cw99m=Py@KWUjkmhWKy2t z>G68Gq(Yx1BE6yUsC{TIVsK6RisG<{t5*XJjmJr7rb@=awFu|A zmE0og=n@;4zw(PfwvpoxaOSz~n3s2QcgH;Xe%HbkX~8XWXJpa6!kI2vc(D3IkNVN+ zt?G+c-yXPr4!S5w?DHZi7+c@8X9ln5w4894;|{>&=ev|iSt>R(31!%>AKBQxo@dO4 zcJPWK1-3py0UtsT&Ukr0RIB0fXYepcF~dlGg{hhA8kvB>nu)4G>hVcne=^J-Ivbe^~2r;7( zF8RW6=KXUJDM(OIc**op*02N}*f)uIToz7T z6M2%+1<7x=7C1ojfrOw2G_Y*e5b9xVJ087`iS^qYn)pOZ@bl_4(k!ORGgL11XH1$O zOd*d;Cn)tXE!bXY)hL!;>W#T0>!|htqL0EM4e3@1q>)lGtJ{NB!J$c2Waz7!=DDC9SOycB= zteN-6T@;5@h&sEmTy$1_FFivCUF6%2B!lj|)l=#n zB&4#Val95eei3s@Y7Ug^C8?tkO9{_=>(HwMQsY%2FKouRq704;m)~FYng6^U{-!mKFIC}oP{c3W*wdmA1)$K2I ztc%IEFVejH(P^rfqSmiFOqTKNzU&=Tx675KzIhUS#Ia?ibhHo}Tp)r3i7I3vZNPP+ zq-N{M5jO3X@?lkZ&T%?-cFgs>D^L1)(G^w@leU$vtKji*4r3dElORs3qU=3=5jyV`F0Bz=q9N*lAW2J!4M z-0%t}$6~sz@;^No$Q%w_7+V9&0IMNjHY2C79q=2z_J&4Dr{WP) zQS%2Wp+;*epUV{W_dDKoB1i3u5b^wcg83y!UU_8}Nt|Q0>?5CVR_%5wv#8Fl)3Ek5 z_!dVrH^G_WOCA!ZKNhuXIIb%%VOI35*ttZEMTa0A;FCwM7#8md#;$G2 z92R65_)kcHN9KLQ&^yUgq3p^Vo?yL5ahu}%c5ivD1)o!?EfAe!v=?5J%AwO#PexXL zwKj*}6P95Og_gBd7$|7hl5jAlE(uA@u`d z%eRJ)FGIF^(OK_NzXZInnRqJcKJ`-!8CmP1T3n!t2qin7Ki(7U&lT=VoPYwB!Kn6n z?EHQfnV-QfKPP)|UE>EY0kRAjci^MvJ2YD^T;*=(U^D6x>wb4}y&u)$F93{S55$-E zMF<7TXmo7(n3)W!JeaAjkq`+Bkp}*L$(F%Bg2Hf9?8|3>dzFul+?tsPz8o+%f7FoI zXTMFt?=l^R`en0R{Pq2hd{i2&bU++n#>R1!vdX0EMM++UfVCSNO=hBg+FBNe9@IA|A8XfNLa=kRA<@g|O!JA~*GfK#`0H{6ixP{ew zdv<1$EwI}%M}L!v`Z@7)&2Ui`oa1nyiERDYLKqm{Qn9>qjKbH2Eck)X1xOmA&N0ax z)9@OnKbY~z{l!2g2x$&g0KI+9lO2whDrSB||5~)l&+fL1RH)b1PhaXfS(6sh-{%aT zHvdq+`O7dNEl+il!h-`9L@q|vWS0^6;Rvd~pQ?_k>1prkkU$+b@$MrU92t#Y3P;~j zG56^h3bh7VW)TkYRRrz3UuER9{45k8kfN(20~PjUa<&9b&GQg{JYoUyN4FQ7>wYfBiiw)*`uPz{R8w}h@<_=G%c zZoxjnqSMo%AtJqfAJV%pVO94)07d>tQbcKvoTqtiws&urb1D@4i6XqDoSQnIz|!iA@$haZ4Q~JNUn=l;|F+!Z-Pa9X6x&t zqid{OkfoK)smaB{=fw>bhDyI>aMeYCT3Pz#<8E^3QM)-m-!nED8K`exIv%R(t>H^A zk@!NbaC$hU@@La~dG+ou5q$yZ?%1p#3XQt%exr4Z2T2euVP=Bl%P~r4*7S1SGi>+w zgre1`b;TT$**QbP@-=cp2a3wXkLf1fR1@*1?MFB^NlUtT+ZgT}IEt(xoLY6v8JmN5 zn3He&-(ZXpa>4k0S@$O2=hbt0_IYW+223XMmDd6o;xnxIl{dX#hg^vPFY~!X6+J%Z zvuh0DhBg8JB9U;NZZ~X1g~PH&}A#N`S=$ard9Z2?|e@> zc@1m9T*4!YqMfe(A8~<_3@4}kF|^F3Hwq;!<6K@&$jIuJUndNs-xrMZMZ4xsQc{47 zZL!VOuK{@rdONa4LZ~1E zeC3Tp5R1I+5Osc*(R2IZNQ<4~VX((^SwD8mvmZ-e4JL|*Z+vuZ>HAui*qCl}c>C~h zHa(WIjSZ*3&08ouTD1jxRg%?AqfMm&n_`|g&_{Py?Ieb|+TaiRYAF=iP6iaHt4(D; znZZg;RQ~g8S>EZt6o|Y**PH+7Fi?I2l82hZG~3et%Iqj3B0elYmxkB@G%VB zxo)vk;)nv1nxz{1hl>7C$WNK3Cwo104`PKy5iUDYPPD`#fNi#yk=pe3>USV^-k1X* zbv|$*#vp#h3F@CptIxDBgEl&P{a4bm8;;Ls@!UW^AcTjs*yjZc)X)#|o$_*dZm!Ss zj|>%st7kKYz%+;fLK+mjw&>|eml5n72|wN9wKLt8$G zS|2-l0%R(CrFsNnldjR}mN*pg&Um=KYXf}T@7;-abo~Dtqi5k9t{_^mCn2ZZFX;F2 z`RD?Df9bVty!f9UB7iNh%^xVDgXMuawjT%skzwEN4=@gvi)N9t<3o*gAjMXsM0(~y z$c0C(x~$2N#->v*;joFF89VNP35i>E>Q8BSXbYoj3)rl$y0*dKr=3d={>KZY;WWO1 za^r!Ujc7Ty+s*hAf_vZ={Q2{z;^odlog=I`ogtM$z?!hbn;4EXn;~%JUuXe?Hah5q zz6_y+qMB(8D6i$LD4xVcV^E>u7d(^E7G0ZMEdtwqb&8asp0o-05@uBN(`81{nD9)c ziNqW{1@Lh@SHC2v_<=(TctHY5g#*zrF*`wnb|RlAJEXPU*-%GE=k)CCkB54~ZgPEi zh~4$a%5otp#-P6&fpNK^nXm|Bn_HPq_HDVz?z9pGT2-CJdIF>SeVR?(g_dmaG*~2l z8{F?$-jEVs@j9qELM_eMr8%TFe|>L3=+z*QHo(>8HmAkhdOzI%z)C42bXte*?(SY& zt4%V?@30}x%gej7*uViAfNY`qj4T3#pqs~$<;1OckBT2;KtH2Dy7Crkfa7CJ{+GY_ z!pRG6m>(VAc1r5xbbSPeTwQyGzvkL6ReOf_>6`Oe1ez%zRyfO8q>KN-R-Y-ZA0B&$ zJyQan18A<0{`5Eo9nH&>)Kns%JQFv0Tnc5#pUm5~FoU6Vz=71$`-8*wgS@7uq&aXg zEd%Q-lv$N#;b!QV1kpJ zP4x)&=g;b{hmxnO9oZ#!xKYzv1Z>YmS9J=%rn3rzPsd)sB^^GR3|~8DEw3l*M>a8S z^3Q7_($&_mRrqiX^&cv@&1#HRhp?}(cKOgPyZmT0pr_|MsI5swn4cJQ^=;N+a`J^M zgQm@Ex)_(D(`~$oGX#{ZoY_w7MN@Y6JBWz>{PcLc7N&*ZFPp;o12`=}`+(yFGZHqP z{%U&w=(Pr(6n#TOr4Fp#1ej@hE&Ijlh{j?a2?CznjIOq;_7_P-x1kQ6o(xUAYUPrX zuzNF{Nxo;VGKB;e4z|bYmwaM1=*!DrYM(K9#D?xnB%w#NVOWb{_eE z*vCpW)-s3RZ!cdYkZHlrSAQ;{?&5B&>6G4Ex_6VRWQ-dsVIcpxscmRjKRU7*odI_Z{x$B$?cr45>Ow|@Z4OB1w1)w9 z8Lh~&f0?ty-I0*Oc+QYbiuYBiY)@5@zQ<^hQlCz(@A;Rrgt{C+wVHR@RWu>cTx;Y_ zsC*dVezc_!DJ$C`;_?&r;*D!=u1ZovD?vn*X$~)aa{Y!OhAt_Uy{;B9xjczs|JUuL z{_;6kLPAdD_%MRM5yS7dSl&dUFC`AW0L<$uivC2(dh`u)`aHAen9;KhpgW4dWlj#R3mRAa$H=TO6YRxU7ZnC z;E_x;6B)((_hT)-z7LO&8ud=pczAd!J&iQ=#$ag1w7RC|c$uLX6vS`{Y}GnhJkq)7 z@^}j=$*{m^w=$!j`BDrulacD<=5B~{muDX#07;UPh;?;!lc?&NnR*x8!18ozzWdu^ zcLHaCmOn-+6kYNR9pPGxaDfC_ zL4HmKVMEdNbfILry1MTuD3TU5<*RyRUIS-X#{I#@#<%$R__h*}gc6LXYs8gvzOuq6 z#yBW7E$$nxMDe}uFsjf-6@>varyi3^%PG6-_W4ALj2j@d#qR8wfk{}WOC?TszMs*p32d4x>hwPnAsBTsjKoVjI$LP5WNo4{O6 z$;X%K=LZ9J%hIy4{Hw3OuCH?G1pioBtsX^=51&XDbs1}ZJFr4?*53q_P{jvzUBk)0 zaikj?UvkCo=I0Q{ItC86V$=PGplr;TH@QYo9G`G% z_MVCgrdpSv1(n`mMbXg*6iRoRG;b;ST#)(6A|M7Bohnc(BrBX!)6xnTsU~Zmj?pIN zt{MKbY>Q}l_Qm(EL}!R20~t~x{p_ErilEx1L#H{{m$PTq2k-@j;VQlL@2 zQ7?h=O5NPRcN{a?zv*2tQLZi)mo{TU|JH$k7RvV9tFa8ghI#H-jwdZ+ooV?2n9o9%`~mKn;oNK zU1fG*W{n&hmzF8?P5QiZ@n!5~d7+K1Yrx>;-_7T~$>C77pqe(xoE3E;2HI+|i7zVZ zgMPV%DaKkkqS+%0i!frATwi8WAPmQPDzv>eK!O7W=r`|rHQ8Q`#SCjdQ zUK>8bELB-Kd3=l_-!jqk@4K9u`9|ITG$#9vxc2HWE04Tvs3wiUBxgStSuECRD)IfGd}KpK%bgIPm#2hHBIj;`Jr{#1X=p$-(*Lu& zu2vrpSDg~)ruN3@BQ(NU~|X_UD3F)Rz&0r@J8MYJ~sZN;r&E z38@~g_GIu2_LmLpIlH|pvqSKO+VdK6*clwjG(W#@_&O8`a6T)_0$+)Rs-~lKSiZu; zIVIFx204LB8EfC>zIM|soG8rIZuB;MMFsFTdnFNW1B-$t=bk#*_)AGo&k6c$ zG_%L@TONLbc)8Q9`7mlas$ZVd z!-da|se+C&DXfXi>)nedGi|W<=F`o50uL9U@siN6y;DNk`+@oC_Wt+}v%tdx67y+@ zN>oRW+%IJsJiaZ-u=wj`t^OX8BBR^TsF}KJ0V`|kI@?Y=NlD4QO4NvmQ=JFgxnU%9 zH`{%Y;dhBUd~;ABjN{~d^%ImX-c-GU_ilaaKTFJirjVtz&IgO6E4L;4vf&ygzI&cT zDnr$9wvj7tDA{mzGoZh#i#K(>sIa)QqF21c!F~7AV@a<*=Bh~8zPctyMI23P$-QAN z-@dHuH4)284oZZhz3~u#ge%y$n3lc$L&jhj+nYC-Uy`F?b$9~K*P{efd0Kp*p9WL7 zqPZNmR@T=1fTbRkZok<@(cqeI){sP_h$A8*km)rm^+AyRWOoXeV_=zK&)Uk$7cdJH zgF^akMV#P#G=+>%))*QdULUa6;&Ix&wVtmwKKV{ssD8=3|Gd=uoR+BI9Km6@TaKD= z^>+de9)9uU28pq`^Wg>3?ot+|U|XBCuL*^J&_YML?~?*st^*?t$^7#p4gmqd5efMu zHSoDcsnVGaOEG>h*btwqL0vzev=o<+*ebd7T~cNjzP_K36EN-!MhEG3qxH^~SI5h8 zzzYm!!f*^Fv1Pd)FLicy;?`C;3xlor5;@oNJCbH@*FIreb+2uN@5dJ+~h8_RqjO)2}U zv5_z|jGCH0$Iy+^2WUG%QK>5+iG=BMI~)oTx3YC)Ny`&H5Moe>d3zxP4neh2vR_wY zw<^>fMKS_f265S~aHDw7Ue3MKRrEFT1NsuIpeOW@1KDrzF4qM0bO>)>(-?ccNZRT@xm#?e1%Z?i2Pg++me(Fy*A}5w+;fA=3vVq+ z+@0UDbI@2(e%aZK_>P8f>yC+ts9L1mc2DBfn}tCEgN8{cJ)%3A-2Zf3w;hbj{`!mB z)<~X|8-hV*)+-gQvB8OG({xW+#7y|KBz}LQ`6pu#4dt{yRb&xaTFRvBdB_H(S!veR zA4@x1ZB5{hfLe?XY7HY|j~!B|C69gjI7YqU4B;SU}8yN2O^O8d^0uW z7Y6Q^*f)x5KKGY6k;Gi>XHlx)N%_$c#OZoPN8;;|qu{8SbYa}q(NQs{j*2QbJ~3`n zmqvR3IAa*4LLJH2d_x90FZ7oh-4`53_`syb^T7`zOve2&b9z=prHa&v9F1&@4<4b} z3kKMa-jOw;HDcCdH~#*YceF*+#0Ps~!9lB&v&MUoR;NGAd6lX7g*5qS_zB+Qgt(2^ zneD*mM<7?>r(}nhBOzQV0pR)!?Yevx<8oM{ymoK!2>Cp9)J`F#dh z5>+H)V`I?3QLT0<+mMnFTwQp;9iPs8Fx!-De;s9T+92h=G4_gsPzg-8Eomv-oV+bj z@m!ivvY1LqOH)0>pO~01Bbi!_+n;i2DLKOQIdq&(QzNPL5M{zELA25`Wwzd|Zn`%CFxrc+POp13i%hnweJy>zVqJP(rE~V3cph(N1d))^ z6~cZM6#OJAieF|}lM8xYQ+Qk>K^F_gn>UJwpMUevfLPs$JUQ6W23K4D=Lbi?R#7o9 zn9O=gL5oX^>+i+%Bs>jD``^nghA%d_Fq`}p$8NgCjuK$L%w6|+K2(#Gl5#&;75l?S zf`%KM7mveJbNt(bK|mnABM8M_?K;qYb&As3n-Jt@|2aLMFMG$HUev?crg?Vwcq{JOP6(VVVC1Q zg$qI@p`f4$97^Um2M=$?hf=Ebov|#9D#_5YL}o+ywzjsLySuf61MS$<$p%wb_yxZ2 zbtR1+19f2k0*?%wd47HjX1v|m#w$=pDj4t1RXI``ibibY?|!JYy?6w%uXKu@tHR~<(!K=Omj7uR@>?fZO*V>+B-vbP?!dU)8;M1K5XCn=d5R@41NUQGZ> z^)P(vlYvbKq7&>HtEQ?|6ukb_N*qUINi;LhS@8fX18)=9mr3bgFxLjm#-Y1Bg@H*a zJG%ihMR~JRb@XUZ9H?8eAa5~$BO(9^9Mo+C^U2go&m~*uwEQdEjSq-r5)um>2Aosu z?7aM&uS6s8MRe25_e*bXZc0r@h)qV)WIla@%gM>PxxdFiNB?Y>cl8Q`0`xqSFxf8g zV$*AOf2?o>r%*^cfAhc0;1OXnfc{}s_D%stYe@D9U+bM zY29#8&IF0J-+IqMx(fbjTgYT&)wMJ0e7$B-9KBXG8ZNH5y!`h*ffx&dbtQst10lbt zVLTB&*^+b&kC|oHOVeN(j9wDu4P8d4l}tycr|ZQ|8ovf~^rugsz-N0w>9#XjfCC7U zPu-p6CYSLCixtVf)en{z50?>KS97D@4Aj)5z{m$O3jCMP1D8G&ixfiIBe`niu;wCD#&hhulam>Np zy?Q%r(lg%7fcI;of%%IQnCOeNFm6a^8MQN|(V?_SshS*Vwu^yp(9l{}JA!tniU>fD zl4y~tp}D!l_6d`LA!FHI^hi?pxFh9fVA47(opR&)Ex|~&dFVTwH96@!dN~P-jD3P( z6)f7qh;ed5kBw)|L{Sm%zh?>$x5<^N&w^@64*h?_V^t=7UhSIe2N%`80!Bk{2GMEP ze!sbK1D$iVPP=a;%<&4J_6Yohi)-}zSWyUz=o2_Hk--RzVT$eZzT$*r?EOO2>NF`s zIc17C$rmLkwu|}>z2g61)6D)gLy9g+0o2cVF^SnE?k(<9wGrq#i#gII<8Qt-E@+`n zg~|WuXJA+8+O`1Q8mE_+BF2&Iq%0J9bz#VkN9F-gR$TGjdU<;-x6B_yRC@?~rMeK) zcQArm3d|98`f;NmV2|bx9lwc#^Q(DwQnP{V*4(!3>O5Lx#6)hs?QQDFlA$Lcri@c*DJ1&t;y zf#cBRPUT>-(3YIQh`Z0%5=6bm77;reUO7=}s@)L?yO-Zn-#;GhQ5XmI^|C?%;f|T< zFKp9GDR!L|hscm)+L{$@2Yy=G@o7E0C3r2`SF z5duU%A@1k7y5o0nzsf0jflnxhkGd#F!h~ znp5m^$Za_Z?bzN$*lQ{nLSpWAmz0+9QgwJtfrfI-6_@IuWmDJY6%vC)+&Gl+7A>kE~T;v1pQ zq?kB>Z4xhLpr!rPz>|j^C%q0xm7ne%T824_cA&Qaizjm^Zr7QV4Wbx8sdJXo6JNQ? zqW9%~f!tSqUg_l=otbL9j7m)Ax44=$A7&d}Sz&^gmh=s2UocbZiHe5@^;#b;5e1{$YAR4BojR4S6^$Jl>gEuKQobf3XT zxZC^HqXY5l;?&#S9+E#1V-{77k6Q$lNY(*i{zR_MyPW_Jmn82`M5&F{8^2^gak%?2_R0Ve32|qs z>cjrCw&|!g2BnP2V68m|uggiR&s>%52&%y2U>kW)0+an4B@*9o->0Vri^2Bkt@BNs z^a`h01PCmo%zYw31*5n_FnS8QAMOS;b(79v9QE8|pHYZ2z3-Wh2$)kYE-ttaI}ZC{ z0e3L9M1Xz+MkOSVObxYru`tJ%T=zhq%r#l>9vo}Ck{S>C{j-i}v~`4RP-0^Kx^s6G zBX;F2|Kc7o#{PufABw-F5Vj)Qq&spi6+hnWOf`H}U5WV0ppVB^jQ|6OU|^Kg-_Frt zrI;a=(@o!ZvaGO>jzY#Q=KDwAg%rY_IqDP=--oif+sFHBQ&5G220H}Mq~F-s2$_#q z#q9U?1mHa;j|(#^D=PqRUjS*XgdM!`LpTu+HmK-%`S=oh$WWdvY>%cOoxq(xRXn4i4_5 zo4}R{;93AiPOh&_0rO#GWW)qiJ1=kVSE#7lK+c3evRVh$6hI~zxCNY5IEb6hqFyOSVc5P{1 z$%LuG+9py!l~+fQvQ}WUj+d&Z+?F)As};0tq`JnBSC}#?Dk%jwx|Pi(1e|Z5Pw|Ak zLV5Lh)$%-%*B&NsMCW6UqJpNPP)}rP0-Gm0$`y*$ohdnlo8jb4uvx5E89D{=79T99 z=pbwY2vAAnb!P!;q`}DwtxbOb5>B~M-^)~V-ULh|pUIqq+|6mn}y)P61 z)|E9kr-r~wKqi<1Y!9!q52|)9(9#4N55a))z!yl^r6xo8e=XP?^-_Dn^U~h&@x;GC z(lZ65Na?L!#}-@6!vn8oK%nZQj;f}Ij+$dtRnp`Al|;`#Kc^4qkk)f6+p87I&~III zb=+zFs#RQN*n`s8)HGXWh%h!b#(UBV3jx{Adw>5h55&>07u75o0Gtb%;0h|k(F#*J zAnOeR{;2>n3uNZ7=O1-3LwFo&3X>I|I*%#3a5MV8qAC@2VBpjx~VQM0r)_6p+_B1*1l z$&$2>mt>Xwv*!^PSs-$j$Us~pi!cAH)6>pRQn8laNo?!08WlUEq$yxYLg)n$q&!uu zqhC?mQ zx4=M%Rt03Lp-3X0V9@ivYKx9Jx-5}mlzZ>e>`kfR!9qPPJ}bFGDr6>t?sY&rb@KLEJ81yf5aw+ z$mRit!NV#xD2URW4HL%M#l-|das&pl7<9f2L?!WA^g#vj^yU+}ASoJYYa|^+*YX2a z)ff=1;5RUt4iiFTV$CFT1LHjmK{U5UwYTdHH_#^la_K&;v+lmAsb&YG+lIq-8*i`O z`<*=MU(^CPu2rbqe}|@(i_(h?l!uU=qYyi4e3pIebotG#J%Le7gG2-*0=HS##P><% znyT4VOoO6Mr|s?l_3a9*9BD;bPB(i`9_wQDTZ)Rp7YPZE?K(9!+z>(N6vdy>K&Z*8 zti&Wp-edU|5TJ5DKR^6SD0K~u)s-D_@cXN)oktAj0SuFq_4bP;@fAvD zSM%s=x?j2n)z(@u{j?-gOG`^B{ND9*2?f{l6H16i zw!V{=I=9*$9^60{bdJk!2F=s279YV-2IHspTx|2A7$+85Y-JtN#A} zKSQ7GCkbQEm4`p~CbYK;iH7606_hlG0+$0~S1c;It!>8~d`x`2p^p6!gt~~qpD+01 zqbDo<+(R_*@W4+?t5N-A(Xbp_vLBJwaMhR#>7DmmJX9~gh5T+W$G2&=D4n2T zCn&n=ML^D`5l-w6U3tVWIg)MOL|$$i48AdlvrUuA-zSwID@%0@x)B9CorXg#uXu&( zI_wV;DJgwvb+ySh%DSNj%E5fkf2J(p8`3O<^JG&wU5^L>W(RE=*>fH81=8Z;;<1wu zf*I0`_3r(91#RuY^6NO5?+M>q|58UWKPDzl(ouAmdQLNRhvWBUaxAZ%Qsyo>rDzs) z=V^TC9~ihjj}pN30qJG`$k9r979~--C8pbvL{9rlO|s>S=5AbnGoh=6vi~36!U79&G<1jKfn*5; zJv}`T&f(?~w*j-iSiv)4%G+_k#kk~9oUmht7={S=?gjO2ToDrBW+TYTN6C3xfG|2}`A+GnAmsMx<> z(j;ni@E(*ZxNp$g;w_uo`}*=N9%k&<`v!YgBBpVE#wAIr2cZ<+TMDZ@M1({SvFJ9=xXKJfi5G^dU z&ZsACH^l3fPy$W_)Pw%9sg@yOVdUTf0j2>IiozwjO{JBU?^r0}*a}*Vj?)$=?)#sh zpcp+QJ_#y6RBY;HZI{>%mQ4p9IZ8;pDl01k0uug1TFE6}7W(Hs&)~Y_ks72xA0Lj0 zXZ1v$C?IJ9i??VtA`)d3^xHt^pPr6=xFR1vLIKJx7kGO>oD^P_W(3H|N$uzej%e!q zBgb#aA{iAPK8R(c7B9WtIR`&BOq@~r5z($1xp46|FI(}+ASluVO?FGRZD|R_>f@9H zB?k0$18%artqVC;ve~)6msMq>gq9@&r-qjLuqv|zPd z-RSmX+2=kYApy5Ll1R&$7jU7#l(%wxJOV=b-LDs2HGn7t`nNP-CFzxLKDn-I>!^Gk zDo>UY1+Ojqr0|Nny6v=ryT#?@^mtv55U|!WCN0WJOILuKFt4yMe6m0d!qLaqx~x?&XKoi=;?DRD=YVo!9xA`C;8W;#gH3TL|DHi z+cew0b5#i=d2M|rT(3CCjo0de`L}Y#Pn4z?Ltbsc&O^8LYQyxQWFAdR7flgK>M9J5 zmo9(k`-qhuPW)tW_9D_6wb3m@>2a+`w^{>5iKu~K(!L-Z_A z{+O}i*Sj7MgCLbZkvX}!Z*bN5HtWg_%t0iR3|2Y_HcbW#L-+atkaflT_}-MIU_L}3 zb_U|Wpc4!fGksz$h9@$2kMTXq!WSU{Jw@3k)4%ohl;PY%`pPs|K$QUA7~Sb#=dxLa zGmYmsn3xH!Un#zEUDxM&18yO!wl-lAG^Ob-Ibq=oGf(qnGcTqSkmE;m|FQ@6uEzgt z&oiTfVr)Et0Xa~l{QQvh$^y^~pdR(*XK#|3L9(LBP?E}}D=1pP$N>NB8H4LODIT z6!^-gkU|XLmoxevu*ax89&K#}CMOdBdNdnc?VHoRBG;1qJLAV?5MQ_$O*Ms2bEQ~z4 zRD-(-xyY)4E9S9i4U%nlvJ*C zVmpWqy}jK|zXjnN1$AXcNyG;97Pl|QaIzhfZv9eIxw=@WA$~Ip=`$(@#^T8=cD~R{ z558kY9m)Ht49@xaahi9*?~faGtRZK-aM0`ap}wyT^-gOmUmsO^z?PrDx~d=q^Jwqr z@XIpK&gbE@$71^$M6rSCk1PQ8XlrYqoShl8`MsFz23htvdR}dyJOXD{2GGh2^;(+e z5Q9{dZgxhxoRgIg~q_a7dXJl$8?f@ZFlV{5C2b?VOmSAfUy^p!yKH}wB88={8v2KnX7l?aX{eK6p5 zW_ETJ92&s!+t=Hx|M#~7kf+`d6A%9&7qh8DWnqa3p!h6RSyr}sz3jUU2{-=z`=za| zEo5{VP&5l{VE!YE4S=Z$Fc}66%}EgOZBFT5`kOCvxh38=^uGEfTh_aw* zIK7WxXktUhf4<>%Ip{2$t*|e3)t?X`fDlk%t^7;g2Xb-}@V?rgtOx?1$OyoEyFeEK z3V(C?aC-oqM)^138;QrFRXyn?k3u6Mi3$rt0-n#;_^iQVB;GNb1Mxum?uP`cfxI5D z5*q}k>)p>yB1r^>`=Tkqt^N$|J|qYcRNM<{+sy0vloBJu|F&6JJx!OoBa>2aC;8S` zect%30H3a;s@i>O*pu+s9;Pxvjfn`q;LQ<)LRh<5$K!I)IzOKbT13%^h=yQMc|W?j zaRSw}2)_cvCPQopfQ9J++h_v#f#4`L0z3j3@!TTG%2lL!7{Vq%tBY$7f_uLu*TGNFF~RGY`u zAL5TsE!%121~W`hx`_hm468)JA(6Q%W>ow`Nv8)Y*fV*#Bl)tvv6tQhGlnGYYm;Y&;KnI3` zZYygn*X#X`ko6vFdiqU>qvp8k1$=t)zd4P1sez7;bMDOxO<>E{sB?G^5a#HpJfJj& z!B_o5%@4|6!?{XxD9E7fD1oPhVx0ySkT7s|ehwaR6u_DRZ_QyGb1Yc!U%`d#U8qx5 zwWVmIrdz~H*Ri!0a2^vEH}2cISVK5n?0x@d zxv8-c8kB0kz=h;ajdaCn>9B2i5|VUa0hk%QRacFjjE=5wZW*ux*?D=(PT@sG^xz_? z7y`AoZ#b0)s7Ot+&7i9D$4m!;`8kMsggu$o^JRA2k_M0*x|P7TY3LX9BQ!Nvd)wHL zhldAlTK;9PYuFb7FH-oOL)EsLI}wgsMha&+BDa~}1H%?*r0xN0ZDP8UOs8o%)>vpx z?^08ZKRzvu0iuNyL+J7aWeqP2J7=s7^6YoeG9zo`FJaiRDgNNSPs$SwottBFP1yTW z7%CYrW=z&ze!Xls*^fo1dq-?NU)3?y9araQqNg^nGdK7ew8GFvx)v~lLlffaP}B1U z=|Bw@v!dYV!t02+gS=&|X>D+3%jB0e(fAxV7?91CvqZz8-rwCqLm;CQH_-_1BPN7^ z^GAHDtFOyYrjd{x?#Oj>-y>^#Q02R#Xm<>2$cjlKPdpe`j?By- zJ4HM;fN*e}awl~uA})>uBH3r_I&ReCVDGP(A$#b~s@O}U{g3+cXkaZ;#3(}2x&O0M zL4^V^0R4Mo|NlOP0(62<-4d~aN&G_b{{r4GW|sp&&G{c8Zk-`5Id*$R-;$T{DAJDjh!*MH_`ND&zMFp*wg zd=*EX!0*isJYl@2ofw4tUI}1<0Qb!xm`e~SYnni72TsdE%__t%AeRY^kTATYgb_q@ zsmy9LdAgXkF2W|>_ZQTp(1OhgVDs+)I7-;R0tD~MMjwVsTyeV3!`Ee>#{ghy!0_CC z)AD$SR5Iil3tW>b8Y&QKC^bGMWf1IvV23Ey+)jMv8%UbeJ6o(-wp)F0f8sFYPRb;s zkWNwF=ZpDKm-<6Thb4kQOA9D^v&`Y^z0p7;{ zuW>*(O=9!n^z<_rXgHY0mkh{OKnR{*UsIBiwXcx*{I`HNlgxi*8~|s@b$qjwlQL!| z)p%o_z(kryl4&uGe8SHZZD-=vpn;|B4&&pAJX<|>>qYq1|1Iba5C8UdD))O2(MM2n zgM)Bmb92$2o|fHap%=itd zW0Svn=uNcm^i%|*w;`FP06POVQF^IdNNK9_?(OXV1lcV#1p~NiYiq!o_LhmMl*Y1e zeEer`g8Ee9(@$`p&qv~Xhg7}i{w5ffATMr%5Ksd{Lr_ex-tg(gdx{Dh{x66ce@qSW z?j7}MH!LC&`cDQaL*uZh@Q|0FHUKGg;7pAGw>(R=pscbo+tCfTtSnyrvd>gT6ky#S zb$$nXKg}O*Bp<&6!vaU)rqXP>)Wrpi*tv$K(Gl;#;h{#Y9VrqH!#i5qFp$bgsJ$Sc zzoC^EF0CZ;bR27b5sVdz8joSa`w`3`R6?z-uZNKtNu>fPl4w?zc47xTS)!O>l_E51 z^plp#Kj8PT0EG0s$qzn7XZi4}_NKlgwzxP~wM+woXLFw*PTTG%fAUOWkptPY&AlF0 z5fuie*~$0+KvN9JXIXzE+BJ7CViASB4OI*G}Oq#{TuUkRXq>xt$7qdI37w`z|pQD;xE-^|jKfa>(O^ zOdl!;N$>?-N7Wf!-vKQE1$n=OU56%rSJ!u3MxyxS=>CKdke$X1QXXMoVC)fzpq?M49`fu1tn568fR{Lr3^|kV)wRg$ z>!e!L;5e5VPWeD_KW&D;p^!}61%^yq$1~)3@5`qgTAO3N>HO)sRLoAnz#f+&48OXy z(W;}vZGY1G^v6&`Lqj_0go^a*Q!N+QXq6JD0GKRWb$)++JOYGF$jJ``F*kSjGW|9` z3qufG1*#Bzu$MyY#y|j>D$&!k25&UQ<#C|{r?i`g2MZu=SU!9}ZdUyw5lxXXW(Fi1 zBcS8FCgl7MDh(F5UNqIhy9CGu@f{ib?GnLZ@c(v4yMdzzKq?67IrR952k2qmlNI5E zdt2MdgyzRP=CfvnZ`C$3@^(xU>4_2zSBJAL#{wTcP`xV+xEyso64A-U#+$uy(@S)P zB_&yWi=NMO%kk=$(|zu!fqKyj1Ut}xSOHiU&?r=Qf7Aep5Ctd?IMTXXQ)7Rat8c_% zvB#OvWZKE?{}@ot%6_-_y3jE`Lpfua7X5!Yk@B< zLEbZhgxEOPVhC*7A1AcYqQ#g*MtwY#Sk(UdFlZ!XCrU0A7QA1QmZ6my8t=E{BV%~$ z(8jvj4>Aef{-z36i-FdFPZ&8y^+_RQ7fXe<=P%h_b?4mn8Ugcl=kd1IHMR=dz@wpW zVBoh&E70Cvvz_((272n7Z@3DrK<6p$<(-O{tP8t=Y)b3RuU{1L80c%VsqK@6bcK)E z#V3OULtUxuLg9p$e@2J<`w?OFeDJoP9x$RQo{MG=^P{i9(^qD{E^4(*St z09I(&*zmwR4v-8S*jYOP&&P%VW2o6F=B0i=wlap*o<(zWM_fcpPv13F!oGgI&)=0i zvE&D+QCt=$T$911qVc0t*X4j`%aRPwDB>HtNt%UPA0jSbHHQKcNa;q?^=OT)Ky7{9 z>fs9{fC{648BZf8ir@QA|8j3~XQ_z?0!?1yGC_gjLD~F+VfSk={N{yXJ|^&23u|cL zy}`hMhSKxC!~$^g|0(Rs!>QcY_A8lZ8c@g(u`5F;WGO@JNMy*4NEBI-F(nyxnMqC* zkurp3$~?4{5E>*QWGcy=AyZN~_q)$`&UJm)^_}bU*Rs6Jdf(sh{O;#|?&oRFK7g?bwf)4`!i=~rPXj%YCv+HI(s%)#BYht#(zbr?EHs6!GhWSEX%vJG$V>A z9IZxgzqet$-=;@5_&F{0J?6*y__TsK>veNFvv$f#O9wvh5bPMvxTNm5pAy}5-T3KK zB0$ZXm5$&Id-6(^H%vWzs`s4RU*liY0h~!@82af0@ROk213+SjjQfSX0$CLaLb|t` z2)n%N(Mtsv(^hX^?0w7<8%MX-ePXzL&g7(6A%D@AIl-}s-$fos^G3XPx^sCuy_uQW zjKB}4h)L_&8E!vsSJ(AK?~^N=6}-LMJ33C+X;A8FZ2S+_O!h!Do|T>b=ecX*h9G#2 z6E1psYC{TM?A+AUbPAF8lHc|9wXCeRqKbL1qpymJ3OI#EyYG9|)rC@0Qiy=M5H7oK zpX*7@3h@c^88odYLIe~R%J0m}-FD}-?b)-7U4E8DBOxNjC(Og=**4D%%yJc+8$481 z?nx`?t*u?>z_)g-DCA6NgnH1>>;90OoGn$lk(V+iDd+kZ7rpA^8pYQ-Ae+m|&Ao25 zJLKWRp*>L{^3H>`A*CV<BDB)AK|v7KLW+OzuY$L7(MR(-iWN_Dem^izy>m@dotrbjRP zjsG;tJc6|X)no{mpW5Eutv){fLR}aeQ>uoOlhd}gSm}S0W zTZ~@&c=`5wf31||tCOr%UvE2QVO|0v7`Gp@XFMmn zHy)#z4(ax#DPT8@jg1ijwspY+i5H&MpwO|Av2kFiEQN{at#YFmEp|9vlUlFomMRUA z>-+cbcWvUu3sxP7`s&|rT;$}$WNqJh=k<`@VT0!nYOX1%DmQei?Zze_Xcu@T+Q034 zf7VIi8{K`?0l}0WTfYopK0dyx^7*T|R)t%C`gKK6RaEr$f0w#A-A%hF(wBbhdGh`+ zjkn1)agpphPs}J!?H^vgm5C#7-G9%$t{SE8#wDy%gW62D3S*80l4#Z z1R6z$LTr+PCJ;y&<(X<0RJNBp^i-AgwT9J)(>5?3diwgLF*7wcg%7>)+&NlpO#X_- zO6axf)jxj|5P0$AA_tTI3PX;@iLg$oBfK}V&s(fGF47A5=>8kQlDeGPuD_q^V8mqk}sYJDV^Z}wJ!E5_ewyF2_wC$xTiTP_n0 zYF<87A0j6w_w1tvr!F>}tE=bpuQw~59*LCsGR(Sr@a%Kh`8*>7`Wa53YNKPvQs23$ zs;Hn|FP;9K-9gpW8rj*|pT2%&_xJaYYqQ>!pzJIN^7nc)Wto}UnO~2v#|@wbEgKsV zM#&831T`+s8#ijDlW*_5bVZo=^I*`Js4Uld!m7E7)nW5yet!N_gCkpRUR{t0Wj^_r zs$GB2T7*u-N1hI8|0V9}-PYGF%V)8q-f2nJd4HU4STnf0v*fa@r}Qfk%JW)=3u#|! z=&Ka$clfDoWx9kzY!p z>Ndq9F5O?=eK<_Ldi?nDK}b+sy}W`F6B8RWVw2}T50{;FO24;uMLO>AfTpEa#Jymc zL4=C9a5027>{=n5K`}8rMego})DiD}_qe0eq)sP4UhBw+%6 z*YU`^Br!EaesMFl8^7Hf^iU%iFOWoT)BWnErl!wYJ2)8`e`Ve(TnzvCBvL*DHNnS| znL7Ior4$-Wzqy@g;J1q$W8dw|PZjsIp=;at>x9EwKJwQy3m>ym%7T9WGso?lo{T29%fkkx8o zlXuWE+N7nkQ}@Ub4g&)NMeC)K^2mvE;#BA1rued%`ZtmC4g75a_#DQ`z`=E(4#OpX zucmWJ(P&M_(!H`OO1JfKc2175wKZp@Reqeu!kLGYQb#MTioNO7!#&I&=H-?qc>L=| zhLaLA#&Sznya#oR*D6;kWShR!W(KylK2}qH>^atofyTFW-9q>-C@#*d__faSkK6M# zX{Mjiq!<(1vh>}5|JyI_D!BO1#Jv}4TU(3rLgs2eCs{I$^s4R~>8Mf32?<4g3|1+r z%uUr5vC&J44>B`D020a<C0eIcM{aZzoh+O`>I8&f=Tnn?Kct;BoC# zF-MGqoU(EQLN&JM&-Zp{T~2Xp&b#K}B9!DY@hM3u;y<4dr~H=@!c5^Wo{XC*vZQVt zBEe^9M~&00dSx-OAouZOLEx{MnVEou1c9WaBvQpSfai=_R&oErj21`h3oY1@&4{2C zZD+OHAR~gYY*=!761-I?ijqa6y_@Y<*HDb{FgM?{j-KAu!GQ?@4fZX{>_A+{&ef^x zy}ySbN#&`jDY-p+t|2KCVnny8UX?iI`uciiPR?MA2Z$_r5Wlf;akLV$%^rA7PV6wu z1}V$zT+CNLo~$%dRka^H$(H>5eC~+)QK;_0yK)3+rnGX6{QCN6#0RitwDXaOwipj| zhi13Oe458U)s8UCBEB;}*|XWQ?EJZsTx2jpjzQ|pZYCu~`mapbyl85A4o2LpTWJ3! zZsY;h!6S;feLEPw6g~K}jkh}idJrxI*xBbX%ue>cgV_{DXQ0;QRdrd#n7InKK_e5B zYbYXuUR%Ofe=gRO?^swc2Y4`^Xci#Iz}};$%d9vz_aQk9u@+Ky3P^R_kq>MZEVZbr zsvu~G(CFw!l(-2RaE9IEIj z*Z5HX4mS@^Aengin|UtxGSjq8X4NaBS=jo3e4A=R zZEft@cAAOQGMa!To|KZ235R$$tDwLrzTCM-xd@y{cD77Z|9@USpZu~g9Gd<1fbdAql&`@~`n`W|~lgocvcZIqRj zWfFpef?^CL+kP3A&>y|!VFK6lC?>L2aU^&A5BD44;bPw2-q=yRbPr-dh8k^YY=b`@(Jufd$?v08@ z!m#^Oj}cByP0a%DY3umAca={>dzf==rl@A)kRd%Cg)`wZEq~$YrOQ(5tU@3GlH%Hi z21W{n0#ODdfna*JFF!qZ#>COKf@;OMVm%2>0|WMB$Bvz{wIxp-(q(GAAw+H@qWO=L zxF@;2dqcv)SP-#7u!TcSO^xtU`CWoHZjq6Zv7oecqr#V@_ie|TInFpZ*g>2TzxP72 z9Pa9^pCKtj+RxwlFIr; zD}nazF3>u9`o!OFZr!pa0*a|x+y+Ma=HZ7# z03AK!spa`GVxNPT+d!JuxJD#2Lg65@Jx5y(o~cA|KQbyRCLw`VWN2+Ij8G08@u+H+ zwY9CyjAAsd(Iv7g-t)tt`)*lTCSr7q_H+e%@_L#}(p;OdOdLF|bw+mvaJ#Onzb@Ne zK7W2ER9LXl5+z~L(Yjtm}IM^sso1iRCNf!6@&Yflb3EOE|9JNQn-RN55j?!h|zlih7bqZmM16; zHtX0FFE6nv;$?I54NWaA+T+KMZOBwDY&v`1q{WMlf5BuVSU`U0e*2{-y{|AE3nS+^yTU41jRr=zoVs77~=w$KGipz zSu7&HGjxcerY}s&b@aQDNG-a>z6OgbI4f%hN^x0;uaw%uJa;|0vKQ7QW5F3cGycBr zL=nQ#&~2~`4-cRCcpJ)G81n+0MtK(^3Kt`RSUs)m?Ii#fj4dtM2&~{BJ&9T-5#Mbk zB-PpPJ9mV5hA~6p_y*7Mc9x8c3?Q3lXxJ-J(g!&{hWNVFn@%=%_UAw(*T%I&9Rbhw>)OB|Yg1BX7XV3;M3kA8wRYsbKPNIIv7zZu zaKh;FF)s-1NmK-&1b5@t(qOc!8;ZakNhAo6uS5V;{(#CXZ3~N2eQd};A%)k_CLDlH zwRjNcMm=U)+GW1>7rn*G~sP zHHpF2b`3@?dtQi}I{<{#UNy-E{-v?6kzz0;{-;eEM6BE!nj6eVi^;TqLu4Jf5=^N76Y|#lT*Y zhTJkV6o&>g0aaiGD=TYORu&>efPP1?OcbFHJACwLCZMgmtLp=Z9~2X*?(Pb74#J(a2t3j{84M>eZRv#K0cm9uQrM;PYm1wCiVQhXT1Lp%Hq~*cbxc zFv>)}l!!Zg4#c<2RR?=}ZsOIOH_ih#N%DOSB%%f_at=FCTN~N~ZL;MPqAAAUyM{(a z_)rM;mD9x)*t%nmj#+X-NPjIp`-V58{K7{={Fqu=>T7GK9g0eY@QXHI2%O;V>A4|8 zWS1`%h`vHXWbEOG1y$ME;m=RY3u*Wzg^sg|p!8HWjmFbWikemz%d2_b+2|a+8mO!7 zxiD_FZrcV5N4ez%P?+{kPKVtqt>VA0{+!O)5W+!D2>dLw1_RUMOJu*e+LB{5i7;(V zs2;^rt6A?~s9rI5oI?>39zylF_idcF4+JP<&caqG<2n zP=|?hyg;Q!yn1!`%aWc z(OI2nu;`il_N@jk8$1C<_^qfzSJ&9cgy#qJqd=)3TGCfwOTYT#t^aBG4FBUnq0{KP zAWhK{7G`FGX8`F|{3t4ep0EJuqB~_#ZwsV=q+wE*<4!~@qK4z*;%Z*MW&<9jmgM4K ztep-H4wiYXEoPiXjY{sgwdm~N5HdUK4v7iK26Z=^=rWpYvS2f{!qCl4o_KG-Z1b0*0n7y+_1zhag*{L!l1Mo_>pDTl6h3* zE4~m|mmr|Al8}-T|Lr&Zq0pmPIy^!`QBas|6BnlkNUgi4<}J7&0Ov?t_r@s{{ez=u z{zsY9dl^!uKQJ&rW_#NH;L^9#C?=9q z8jYPkv#?MP-zp|PJ`^5C(>=A#rwc8HJY!+LpiK!w6`Dgj?{1BD6^fJ34nvhWHTe5> z2?=KJKjj9pIK@IdD8;XSMJR@NCGOKLGrjwrYKK z!3-%nVte-R!2+87F+4I7^5TVF66zMxGjTrugzBk0Jai5YBa)40ot(m9!(j8xDpnm) ziV_TtZ>snK#1aCZJW)qJnLGk>fXUCW9fsz+q0b9MxjfQA#ylVYYdQl?Yv#)~kM1Ij z2nnaV7x}5t5Gy&WGdJ*4*-)i(6j@uRPoF090i(X#7#q_i7zE=!$bPr)F0DnY`poYD zYH=H=W#H$ZF=LNZ3i&7ml7$B_7ya8WUApuDLRh4*UBigshDwXn3oRnSRe!2pTX|%@ z?B5PHzmVFwd$$k&6?V$!IuJIE(IUDiu!Ccs5hof1yX#Tq$7ylH7Q3(Yb^oR&Y