Training_code.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preparation of the Jupyter notebook kernel\n",
    "\n",
    "conda create --name llama python=3.10\n",
    "   conda activate llama \n",
    "    pip install git+https://github.com/huggingface/transformers.git\n",
    "    pip install git+https://github.com/huggingface/peft.git\n",
    "  925  pip install git+https://github.com/huggingface/accelerate.git \n",
    "  926  pip install -q -U trl\n",
    "  927  pip install -q trl\n",
    "  928  pip install -U datasets\n",
    "  929  pip install -U bitsandbytes \n",
    "  930  pip install -U einops\n",
    "  931  pip install -U wandb\n",
    "  932  pip install --user ipykernal\n",
    "  933  pip install --user ipykernel\n",
    "  934  python -m ipykernel install --user --name=llama\n",
    "\n",
    "So now you can open jupyter notebook and select the \"llama\" kernel to run the notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Ias7ZJ2zl0jp",
    "outputId": "b2b7f770-9baf-46e2-aac0-dc2b6574cc3f",
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sun Apr  7 15:04:50 2024       \r\n",
      "+-----------------------------------------------------------------------------+\r\n",
      "| NVIDIA-SMI 525.85.12    Driver Version: 525.85.12    CUDA Version: 12.0     |\r\n",
      "|-------------------------------+----------------------+----------------------+\r\n",
      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\r\n",
      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\r\n",
      "|                               |                      |               MIG M. |\r\n",
      "|===============================+======================+======================|\r\n",
      "|   0  NVIDIA A100 80G...  On   | 00000000:17:00.0 Off |                    0 |\r\n",
      "| N/A   32C    P0    55W / 300W |      0MiB / 81920MiB |      0%      Default |\r\n",
      "|                               |                      |             Disabled |\r\n",
      "+-------------------------------+----------------------+----------------------+\r\n",
      "                                                                               \r\n",
      "+-----------------------------------------------------------------------------+\r\n",
      "| Processes:                                                                  |\r\n",
      "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\r\n",
      "|        ID   ID                                                   Usage      |\r\n",
      "|=============================================================================|\r\n",
      "|  No running processes found                                                 |\r\n",
      "+-----------------------------------------------------------------------------+\r\n"
     ]
    }
   ],
   "source": [
    "# The following command checks how many GPUs are availble in the current system to use\n",
    "!nvidia-smi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_-g5ZgZL2Mg-"
   },
   "source": [
    "## Preprocessing\n",
    "\n",
    "The purpose of this step is to take the original file downloaded from HPO website, and make a simple JSON file that can be used by LLAMA fine-tuning later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: '/home/files/hp.json'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mjson\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/home/files/hp.json\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m file:\n\u001b[1;32m      3\u001b[0m     data \u001b[38;5;241m=\u001b[39m json\u001b[38;5;241m.\u001b[39mload(file)\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m# Create a dictionary to store disease name to HPO ID mapping\u001b[39;00m\n",
      "File \u001b[0;32m~/.local/lib/python3.11/site-packages/IPython/core/interactiveshell.py:284\u001b[0m, in \u001b[0;36m_modified_open\u001b[0;34m(file, *args, **kwargs)\u001b[0m\n\u001b[1;32m    277\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[1;32m    278\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    279\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    280\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    281\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    282\u001b[0m     )\n\u001b[0;32m--> 284\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/home/files/hp.json'"
     ]
    }
   ],
   "source": [
    "import json\n",
    "with open('/home/files/hp.json', 'r') as file:\n",
    "    data = json.load(file)\n",
    "\n",
    "    \n",
    "# Create a dictionary to store disease name to HPO ID mapping\n",
    "hpo_id_to_disease = {}\n",
    "\n",
    "# Iterate through each data point and extract HPO ID and \"val\" data\n",
    "for item in data[\"graphs\"][0][\"nodes\"]:\n",
    "    if \"id\" in item and \"lbl\" in item:\n",
    "        hpo_id = item[\"id\"].split(\"/\")[-1].replace(\"_\", \":\")\n",
    "        val_data = item[\"lbl\"]\n",
    "#       if hpo_id in phenotypic_abnormality_set:\n",
    "        hpo_id_to_disease[hpo_id] = val_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a dictionary to store HPO ID to list of synonyms mapping\n",
    "hpo_id_to_synonyms = {}\n",
    "\n",
    "# Iterate through each data point and extract HPO ID, name, and synonyms\n",
    "for item in data[\"graphs\"][0][\"nodes\"]:\n",
    "    if \"id\" in item and \"lbl\" in item:\n",
    "        hpo_id = item[\"id\"].split(\"/\")[-1].replace(\"_\", \":\")\n",
    "        # val_data = item[\"lbl\"]\n",
    "\n",
    "        # Check if \"meta\" key exists\n",
    "        if \"meta\" in item:\n",
    "            # Check if \"synonyms\" key exists within \"meta\"\n",
    "            if \"synonyms\" in item[\"meta\"]:\n",
    "                synonyms = [synonym[\"val\"] for synonym in item[\"meta\"][\"synonyms\"]]\n",
    "            else:\n",
    "                # Skip data point if no synonyms\n",
    "                continue\n",
    "        else:\n",
    "            # Skip data point if no \"meta\" key\n",
    "            continue\n",
    "\n",
    "        # Store HPO ID and list of synonyms in the dictionary\n",
    "        hpo_id_to_synonyms[hpo_id] = list(set(synonyms))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "random.seed(10)\n",
    "\n",
    "def generate_typo1(message, nchar=1):\n",
    "    message = list(message)\n",
    "    typo_prob = 0.2 # percent (out of 1.0) of characters to become typos\n",
    "\n",
    "    # the number of characters that will be typos\n",
    "    if nchar > 1:\n",
    "        n_chars_to_flip = round(len(message) * typo_prob)\n",
    "        if nchar < n_chars_to_flip:\n",
    "            n_chars_to_flip = nchar #for for example, nchar=3 but the lenght is too long\n",
    "        if nchar < 1:\n",
    "            nchar = 1 #at least 1 chr change\n",
    "    else:\n",
    "        n_chars_to_flip = nchar #by default it is 1\n",
    "\n",
    "    # is a letter capitalized?\n",
    "    capitalization = [False] * len(message)\n",
    "    # make all characters lowercase & record uppercase\n",
    "    for i in range(len(message)):\n",
    "        capitalization[i] = message[i].isupper()\n",
    "        message[i] = message[i].lower()\n",
    "\n",
    "    # list of characters that will be flipped\n",
    "    pos_to_flip = []\n",
    "    for i in range(n_chars_to_flip):\n",
    "        pos_to_flip.append(random.randint(0, len(message) - 1))\n",
    "\n",
    "    # dictionary... for each letter list of letters\n",
    "    # nearby on the keyboard\n",
    "    nearbykeys = {\n",
    "        'a': ['q','w','s','x','z'],\n",
    "        'b': ['v','g','h','n'],\n",
    "        'c': ['x','d','f','v'],\n",
    "        'd': ['s','e','r','f','c','x'],\n",
    "        'e': ['w','s','d','r'],\n",
    "        'f': ['d','r','t','g','v','c'],\n",
    "        'g': ['f','t','y','h','b','v'],\n",
    "        'h': ['g','y','u','j','n','b'],\n",
    "        'i': ['u','j','k','o'],\n",
    "        'j': ['h','u','i','k','n','m'],\n",
    "        'k': ['j','i','o','l','m'],\n",
    "        'l': ['k','o','p'],\n",
    "        'm': ['n','j','k','l'],\n",
    "        'n': ['b','h','j','m'],\n",
    "        'o': ['i','k','l','p'],\n",
    "        'p': ['o','l'],\n",
    "        'q': ['w','a','s'],\n",
    "        'r': ['e','d','f','t'],\n",
    "        's': ['w','e','d','x','z','a'],\n",
    "        't': ['r','f','g','y'],\n",
    "        'u': ['y','h','j','i'],\n",
    "        'v': ['c','f','g','v','b'],\n",
    "        'w': ['q','a','s','e'],\n",
    "        'x': ['z','s','d','c'],\n",
    "        'y': ['t','g','h','u'],\n",
    "        'z': ['a','s','x'],\n",
    "        ' ': ['c','v','b','n','m']\n",
    "    }\n",
    "    # insert typos\n",
    "    for pos in pos_to_flip:\n",
    "        # try-except in case of special characters\n",
    "        try:\n",
    "            typo_arrays = nearbykeys[message[pos]]\n",
    "            message[pos] = random.choice(typo_arrays)\n",
    "        except:\n",
    "            break\n",
    "\n",
    "    # reinsert capitalization\n",
    "    for i in range(len(message)):\n",
    "        if (capitalization[i]):\n",
    "            message[i] = message[i].upper()\n",
    "\n",
    "    # recombine the message into a string\n",
    "    message = ''.join(message)\n",
    "\n",
    "    # show the message in the console\n",
    "    return message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "train_data = [] #create array for training data \n",
    "test_synonyms = [] #create array for testing synonyms  \n",
    "test_typos = [] #create array for testing single character typos  \n",
    "test_complex = [] #create array for testing complex typos \n",
    "\n",
    "for hpo_id in hpo_id_to_disease:\n",
    "    disease_name = hpo_id_to_disease[hpo_id] #extract disease and its HPO ID from existing array \n",
    "    train_data.append({'input':f'The Human Phenotype Ontology term {disease_name} is identified by the HPO ID ', 'output':hpo_id})\n",
    "\n",
    "    # Add 2 single character typos to training set (train_data)\n",
    "    disease_name_typo = generate_typo1(disease_name)\n",
    "    train_data.append({'input':f'The Human Phenotype Ontology term {disease_name_typo} is identified by the HPO ID ', 'output':hpo_id})\n",
    "    \n",
    "    disease_name_typo = generate_typo1(disease_name)\n",
    "    train_data.append({'input':f'The Human Phenotype Ontology term {disease_name_typo} is identified by the HPO ID ', 'output':hpo_id})\n",
    "    \n",
    "    # Add single character typo to typo testing set (test_typos)\n",
    "    disease_name_typo = generate_typo1(disease_name)\n",
    "    test_typos.append({'input':f'The Human Phenotype Ontology term {disease_name_typo} is identified by the HPO ID ', 'output':hpo_id})\n",
    "    \n",
    "    # Add complex typo to complex typo testing set (test_complex)\n",
    "    disease_name_typo = generate_typo1(disease_name, 3)\n",
    "    test_complex.append({'input':f'The Human Phenotype Ontology term {disease_name_typo} is identified by the HPO ID ', 'output':hpo_id})\n",
    " \n",
    "for hpo_id, synonyms in hpo_id_to_synonyms.items():\n",
    "    # Determine the index to split synonyms\n",
    "    split_index = len(synonyms) // 2\n",
    "    \n",
    "    # Append half of the synonyms to test_data\n",
    "    for synonym in synonyms[:split_index]:\n",
    "  \n",
    "        # Add a synonym to the synonym testing set (test_synonyms)\n",
    "        test_synonyms.append({'input':f'The Human Phenotype Ontology term {synonym} is identified by the HPO ID ', 'output':hpo_id})\n",
    "        \n",
    "    # Append the other half of synonyms to training set \n",
    "    for synonym in synonyms[split_index:]:\n",
    "        train_data.append({'input': f'The Human Phenotype Ontology term {synonym} is identified by the HPO ID ', 'output': hpo_id})\n",
    "    \n",
    "        disease_name_typo = generate_typo1(synonym)\n",
    "        train_data.append({'input':f'The Human Phenotype Ontology term {disease_name_typo} is identified by the HPO ID ', 'output':hpo_id})\n",
    "\n",
    "        disease_name_typo = generate_typo1(synonym)\n",
    "        train_data.append({'input':f'The Human Phenotype Ontology term {disease_name_typo} is identified by the HPO ID ', 'output':hpo_id})\n",
    "\n",
    "        disease_name_typo = generate_typo1(synonym)\n",
    "        test_typos.append({'input':f'The Human Phenotype Ontology term {disease_name_typo} is identified by the HPO ID ', 'output':hpo_id})\n",
    "\n",
    "        disease_name_typo = generate_typo1(synonym, 3)\n",
    "        test_complex.append({'input':f'The Human Phenotype Ontology term {disease_name_typo} is identified by the HPO ID ', 'output':hpo_id})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract unique 'input' and 'output' values from each array\n",
    "inputs_hpo_data = {item['input'] for item in hpo_data}\n",
    "outputs_hpo_data = {item['output'] for item in hpo_data}\n",
    "\n",
    "# Remove items from test_data where both 'input' and 'output' match with any item in hpo_data\n",
    "test_data = [item for item in test_data if item['input'] not in inputs_hpo_data or item['output'] not in outputs_hpo_data]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dump the newly generated data subset into a JSON file \n",
    "with open(\"train_part.json\", \"w\") as f: \n",
    "   json.dump(train_data, f)\n",
    "with open(\"test_part.json\", \"w\") as f: \n",
    "   json.dump(test_synonyms, f)\n",
    "with open(\"typo_part.json\", \"w\") as f: \n",
    "   json.dump(test_typos, f)\n",
    "with open(\"complextypo_part.json\", \"w\") as f: \n",
    "   json.dump(test_complex, f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6WuAlTCs2b-Y"
   },
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "3xG6yyBJbW4N",
    "outputId": "d06931c6-f62f-4ee9-ceb3-a1884aa07e4c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'cuda'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import transformers\n",
    "import textwrap\n",
    "from transformers import LlamaTokenizer, LlamaForCausalLM\n",
    "import os\n",
    "import sys\n",
    "from typing import List\n",
    "\n",
    "from peft import (\n",
    "    LoraConfig,\n",
    "    get_peft_model,\n",
    "    get_peft_model_state_dict,\n",
    "    prepare_model_for_int8_training,\n",
    ")\n",
    "\n",
    "# import fire\n",
    "import torch\n",
    "from datasets import load_dataset\n",
    "import pandas as pd\n",
    "\n",
    "import json\n",
    "\n",
    "DEVICE = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
    "DEVICE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HzSlXm1_T3V5"
   },
   "source": [
    "## Model load & data load"
   ]
  },
  {
   "cell_type": "code",
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    "colab": {
     "base_uri": "https://localhost:8080/",
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     ]
    },
    "id": "SvgJvcO9d12M",
    "outputId": "af74ec42-9057-4908-e678-a660345e6412",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading checkpoint shards: 100%|██████████| 2/2 [00:05<00:00,  2.53s/it]\n",
      "You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This means that tokens that come after special tokens will not be properly handled. We recommend you to read the related pull request available at https://github.com/huggingface/transformers/pull/24565, and set the legacy attribute accordingly.\n"
     ]
    }
   ],
   "source": [
    "BASE_MODEL = \"directory_of_base_model\" \n",
    "\n",
    "model = LlamaForCausalLM.from_pretrained(\n",
    "    BASE_MODEL,\n",
    "    load_in_8bit=True,\n",
    "    torch_dtype=torch.float16,\n",
    "    device_map='auto',\n",
    ")\n",
    "\n",
    "tokenizer = LlamaTokenizer.from_pretrained(BASE_MODEL)\n",
    "\n",
    "tokenizer.pad_token_id = (\n",
    "    0  # unk. we want this to be different from the eos token\n",
    ")\n",
    "tokenizer.padding_side = \"left\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading data files: 100%|██████████| 1/1 [00:00<00:00, 11554.56it/s]\n",
      "Extracting data files: 100%|██████████| 1/1 [00:00<00:00, 157.07it/s]\n",
      "Generating train split: 120444 examples [00:00, 376857.04 examples/s]\n"
     ]
    }
   ],
   "source": [
    "#extract the data from the JSON file \n",
    "train_data = load_dataset(\"json\", data_files=\"train_part.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dataset({\n",
       "    features: ['output', 'input'],\n",
       "    num_rows: 120444\n",
       "})"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_list = train_data['train']\n",
    "train_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "id": "t5UWTUmgfevy"
   },
   "outputs": [],
   "source": [
    "CUTOFF_LEN = 512"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "D7kaRDNqg3aB"
   },
   "outputs": [],
   "source": [
    "#tokenize the data for llama model to read \n",
    "def tokenize(prompt, add_eos_token=True):\n",
    "\n",
    "    result = tokenizer(\n",
    "        prompt,\n",
    "        truncation=True,\n",
    "        max_length=CUTOFF_LEN,\n",
    "        padding=False,\n",
    "        return_tensors=None,\n",
    "    )\n",
    "    if (\n",
    "        result[\"input_ids\"][-1] != tokenizer.eos_token_id\n",
    "        and len(result[\"input_ids\"]) < CUTOFF_LEN\n",
    "        and add_eos_token\n",
    "    ):\n",
    "        result[\"input_ids\"].append(tokenizer.eos_token_id)\n",
    "        result[\"attention_mask\"].append(1)\n",
    "\n",
    "    result[\"labels\"] = result[\"input_ids\"].copy()\n",
    "\n",
    "    return result\n",
    "\n",
    "def generate_and_tokenize_prompt(data_point):\n",
    "    full_prompt = generate_prompt1(data_point)\n",
    "    tokenized_full_prompt = tokenize(full_prompt)\n",
    "    return tokenized_full_prompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 55,
     "referenced_widgets": [
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      "00a12232ce314299a5bd230b2e6afd9e",
      "ee8e8a033c834392bd80824d15500343"
     ]
    },
    "id": "OPmfOpQQtDMN",
    "outputId": "dcc1db33-d19d-49f1-84c5-1439988ce9b2"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Map: 100%|██████████| 120444/120444 [00:20<00:00, 5976.10 examples/s]\n"
     ]
    }
   ],
   "source": [
    "tokenized_train_list = (train_list.map(generate_and_tokenize_prompt))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "120444"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(tokenized_train_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3AWsbZI0ZL4N"
   },
   "source": [
    "## Alpaca LoRa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "id": "5SVIxGhUorW3"
   },
   "outputs": [],
   "source": [
    "#LORA_R = 8\n",
    "LORA_R = 32\n",
    "#LORA_ALPHA = 16\n",
    "LORA_ALPHA = 16\n",
    "LORA_DROPOUT= 0.05\n",
    "LORA_TARGET_MODULES = [\n",
    "    \"q_proj\",\n",
    "    \"v_proj\",\n",
    "]\n",
    "\n",
    "#BATCH_SIZE = 128\n",
    "#MICRO_BATCH_SIZE = 128\n",
    "BATCH_SIZE = 256\n",
    "MICRO_BATCH_SIZE = 256\n",
    "GRADIENT_ACCUMULATION_STEPS = BATCH_SIZE // MICRO_BATCH_SIZE\n",
    "LEARNING_RATE = 3e-4\n",
    "TRAIN_STEPS = 100\n",
    "OUTPUT_DIR = \"/home/model_output/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "6-cTLirahjfg",
    "outputId": "7272ccdf-6896-41e6-a2af-54a1fb26a3cd",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/peft/utils/other.py:119: FutureWarning: prepare_model_for_int8_training is deprecated and will be removed in a future version. Use prepare_model_for_kbit_training instead.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "model = prepare_model_for_int8_training(model)\n",
    "config = LoraConfig(\n",
    "    r=LORA_R,\n",
    "    lora_alpha=LORA_ALPHA,\n",
    "    target_modules=LORA_TARGET_MODULES,\n",
    "    lora_dropout=LORA_DROPOUT,\n",
    "    bias=\"none\",\n",
    "    task_type=\"CAUSAL_LM\",\n",
    ")\n",
    "model = get_peft_model(model, config)\n",
    "# model.print_trainable_parameters()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_trainable_parameters(model):\n",
    "    trainable_params = 0\n",
    "    all_param = 0\n",
    "    for _, param in model.named_parameters():\n",
    "        all_param += param.numel()\n",
    "        if param.requires_grad:\n",
    "            trainable_params += param.numel()\n",
    "    print(\n",
    "        f\"trainable params: {trainable_params} || all params: {all_param} || trainable%: {100 * trainable_params / all_param}\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "trainable params: 16777216 || all params: 6755192832 || trainable%: 0.24836028248556738\n"
     ]
    }
   ],
   "source": [
    "print_trainable_parameters(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.float32 279187456 0.04132930960570986\n",
      "torch.int8 6476005376 0.9586706903942901\n"
     ]
    }
   ],
   "source": [
    "# Verifying the datatypes.\n",
    "dtypes = {}\n",
    "for _, p in model.named_parameters():\n",
    "    dtype = p.dtype\n",
    "    if dtype not in dtypes:\n",
    "        dtypes[dtype] = 0\n",
    "    dtypes[dtype] += p.numel()\n",
    "total = 0\n",
    "for k, v in dtypes.items():\n",
    "    total += v\n",
    "for k, v in dtypes.items():\n",
    "    print(k, v, v / total)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YBmdF1XJ7ZOu"
   },
   "source": [
    "## Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"WANDB_DISABLED\"] = \"true\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "-urSep2JDVH0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using the `WANDB_DISABLED` environment variable is deprecated and will be removed in v5. Use the --report_to flag to control the integrations used for logging result (for instance --report_to none).\n"
     ]
    }
   ],
   "source": [
    "#training arguments \n",
    "training_arguments = transformers.TrainingArguments(\n",
    "    per_device_train_batch_size=MICRO_BATCH_SIZE,\n",
    "    gradient_accumulation_steps=GRADIENT_ACCUMULATION_STEPS,\n",
    "    warmup_steps=2,\n",
    "    num_train_epochs = 100,\n",
    "#     max_steps=50, #TRAIN_STEPS,\n",
    "    learning_rate=LEARNING_RATE,\n",
    "    fp16=True,\n",
    "    logging_steps=5,\n",
    "    optim=\"adamw_torch\",\n",
    "#     evaluation_strategy=\"steps\",\n",
    "    save_strategy=\"steps\",\n",
    "#     eval_steps=5,\n",
    "    save_steps=100,\n",
    "    output_dir=OUTPUT_DIR,\n",
    "    save_total_limit=40,\n",
    "    load_best_model_at_end=False, #True,\n",
    "#     report_to=\"tensorboard\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "id": "pRWNx5vlDmRb"
   },
   "outputs": [],
   "source": [
    "data_collator = transformers.DataCollatorForSeq2Seq(\n",
    "    tokenizer, pad_to_multiple_of=8, return_tensors=\"pt\", padding=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "background_save": true,
     "base_uri": "https://localhost:8080/",
     "height": 75
    },
    "id": "-4eVtddRvSx4",
    "outputId": "ed518024-fcfc-4d36-b3a5-f1df4a30cea6"
   },
   "outputs": [],
   "source": [
    "trainer = transformers.Trainer(\n",
    "    model=model,\n",
    "    train_dataset=tokenized_train_list,\n",
    "#     eval_dataset=val_data,\n",
    "    args=training_arguments,\n",
    "    data_collator=data_collator\n",
    ")\n",
    "model.config.use_cache = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "      \n",
       "      <progress value='22575' max='47100' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      [22575/47100 44:56:29 < 98:38:51, 0.07 it/s, Epoch 47.93/100]\n",
       "    </div>\n",
       "    <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       " <tr style=\"text-align: left;\">\n",
       "      <th>Step</th>\n",
       "      <th>Training Loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>11405</td>\n",
       "      <td>0.480000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11410</td>\n",
       "      <td>0.484100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11415</td>\n",
       "      <td>0.475500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11420</td>\n",
       "      <td>0.496300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11425</td>\n",
       "      <td>0.485600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11430</td>\n",
       "      <td>0.482700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11435</td>\n",
       "      <td>0.484300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11440</td>\n",
       "      <td>0.483400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11445</td>\n",
       "      <td>0.477000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11450</td>\n",
       "      <td>0.487300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11455</td>\n",
       "      <td>0.484500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11460</td>\n",
       "      <td>0.482100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11465</td>\n",
       "      <td>0.484800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11470</td>\n",
       "      <td>0.475200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11475</td>\n",
       "      <td>0.485800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11480</td>\n",
       "      <td>0.467900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11485</td>\n",
       "      <td>0.485700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11490</td>\n",
       "      <td>0.477100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11495</td>\n",
       "      <td>0.485800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11500</td>\n",
       "      <td>0.477700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11505</td>\n",
       "      <td>0.485400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11510</td>\n",
       "      <td>0.483200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11515</td>\n",
       "      <td>0.478800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11520</td>\n",
       "      <td>0.483500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11525</td>\n",
       "      <td>0.488300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11530</td>\n",
       "      <td>0.482800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11535</td>\n",
       "      <td>0.475200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11540</td>\n",
       "      <td>0.466200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11545</td>\n",
       "      <td>0.474800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11550</td>\n",
       "      <td>0.487400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11555</td>\n",
       "      <td>0.479400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11560</td>\n",
       "      <td>0.481700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11565</td>\n",
       "      <td>0.466100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11570</td>\n",
       "      <td>0.482600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11575</td>\n",
       "      <td>0.476500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11580</td>\n",
       "      <td>0.469800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11585</td>\n",
       "      <td>0.489100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11590</td>\n",
       "      <td>0.481300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11595</td>\n",
       "      <td>0.480100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11600</td>\n",
       "      <td>0.482700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11605</td>\n",
       "      <td>0.476500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11610</td>\n",
       "      <td>0.478000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11615</td>\n",
       "      <td>0.474300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11620</td>\n",
       "      <td>0.481300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11625</td>\n",
       "      <td>0.481600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11630</td>\n",
       "      <td>0.482700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11635</td>\n",
       "      <td>0.481900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11640</td>\n",
       "      <td>0.475300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11645</td>\n",
       "      <td>0.481000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11650</td>\n",
       "      <td>0.477500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11655</td>\n",
       "      <td>0.478700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11660</td>\n",
       "      <td>0.487600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11665</td>\n",
       "      <td>0.475200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11670</td>\n",
       "      <td>0.474700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11675</td>\n",
       "      <td>0.482300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11680</td>\n",
       "      <td>0.483400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11685</td>\n",
       "      <td>0.477000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11690</td>\n",
       "      <td>0.478400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11695</td>\n",
       "      <td>0.475000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11700</td>\n",
       "      <td>0.470800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11705</td>\n",
       "      <td>0.483600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11710</td>\n",
       "      <td>0.484900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11715</td>\n",
       "      <td>0.478000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11720</td>\n",
       "      <td>0.476000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11725</td>\n",
       "      <td>0.474500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11730</td>\n",
       "      <td>0.481000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11735</td>\n",
       "      <td>0.474600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11740</td>\n",
       "      <td>0.477100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11745</td>\n",
       "      <td>0.488200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11750</td>\n",
       "      <td>0.481300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11755</td>\n",
       "      <td>0.482200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11760</td>\n",
       "      <td>0.478300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11765</td>\n",
       "      <td>0.475600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11770</td>\n",
       "      <td>0.479300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11775</td>\n",
       "      <td>0.478400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11780</td>\n",
       "      <td>0.443300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11785</td>\n",
       "      <td>0.444700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11790</td>\n",
       "      <td>0.441100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11795</td>\n",
       "      <td>0.450600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11800</td>\n",
       "      <td>0.441100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11805</td>\n",
       "      <td>0.444700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11810</td>\n",
       "      <td>0.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11815</td>\n",
       "      <td>0.443900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11820</td>\n",
       "      <td>0.451100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11825</td>\n",
       "      <td>0.443700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11830</td>\n",
       "      <td>0.451500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11835</td>\n",
       "      <td>0.443700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11840</td>\n",
       "      <td>0.457300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11845</td>\n",
       "      <td>0.453400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11850</td>\n",
       "      <td>0.451700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11855</td>\n",
       "      <td>0.458300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11860</td>\n",
       "      <td>0.451800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11865</td>\n",
       "      <td>0.447400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11870</td>\n",
       "      <td>0.443600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11875</td>\n",
       "      <td>0.459200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11880</td>\n",
       "      <td>0.448100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11885</td>\n",
       "      <td>0.441900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11890</td>\n",
       "      <td>0.451300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11895</td>\n",
       "      <td>0.451200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11900</td>\n",
       "      <td>0.445200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11905</td>\n",
       "      <td>0.453100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11910</td>\n",
       "      <td>0.445700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11915</td>\n",
       "      <td>0.450700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11920</td>\n",
       "      <td>0.449400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11925</td>\n",
       "      <td>0.456300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11930</td>\n",
       "      <td>0.457000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11935</td>\n",
       "      <td>0.449600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11940</td>\n",
       "      <td>0.446000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11945</td>\n",
       "      <td>0.456000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11950</td>\n",
       "      <td>0.451300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11955</td>\n",
       "      <td>0.454700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11960</td>\n",
       "      <td>0.453100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11965</td>\n",
       "      <td>0.455900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11970</td>\n",
       "      <td>0.455100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11975</td>\n",
       "      <td>0.450500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11980</td>\n",
       "      <td>0.451800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11985</td>\n",
       "      <td>0.452200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11990</td>\n",
       "      <td>0.460900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11995</td>\n",
       "      <td>0.456600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12000</td>\n",
       "      <td>0.455300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12005</td>\n",
       "      <td>0.455600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12010</td>\n",
       "      <td>0.450600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12015</td>\n",
       "      <td>0.456800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12020</td>\n",
       "      <td>0.452100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12025</td>\n",
       "      <td>0.452000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12030</td>\n",
       "      <td>0.455200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12035</td>\n",
       "      <td>0.454500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12040</td>\n",
       "      <td>0.455700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12045</td>\n",
       "      <td>0.446000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12050</td>\n",
       "      <td>0.458100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12055</td>\n",
       "      <td>0.447300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12060</td>\n",
       "      <td>0.455200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12065</td>\n",
       "      <td>0.457900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12070</td>\n",
       "      <td>0.455800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12075</td>\n",
       "      <td>0.451200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12080</td>\n",
       "      <td>0.446100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12085</td>\n",
       "      <td>0.446500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12090</td>\n",
       "      <td>0.447000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12095</td>\n",
       "      <td>0.456700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12100</td>\n",
       "      <td>0.453700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12105</td>\n",
       "      <td>0.456200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12110</td>\n",
       "      <td>0.455300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12115</td>\n",
       "      <td>0.449000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12120</td>\n",
       "      <td>0.452200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12125</td>\n",
       "      <td>0.459200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12130</td>\n",
       "      <td>0.459800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12135</td>\n",
       "      <td>0.458600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12140</td>\n",
       "      <td>0.455800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12145</td>\n",
       "      <td>0.456000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12150</td>\n",
       "      <td>0.454800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12155</td>\n",
       "      <td>0.460700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12160</td>\n",
       "      <td>0.460000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12165</td>\n",
       "      <td>0.458200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12170</td>\n",
       "      <td>0.453900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12175</td>\n",
       "      <td>0.463400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12180</td>\n",
       "      <td>0.457000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12185</td>\n",
       "      <td>0.458900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12190</td>\n",
       "      <td>0.459000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12195</td>\n",
       "      <td>0.452600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12200</td>\n",
       "      <td>0.459400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12205</td>\n",
       "      <td>0.456400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12210</td>\n",
       "      <td>0.464200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12215</td>\n",
       "      <td>0.452800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12220</td>\n",
       "      <td>0.464500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12225</td>\n",
       "      <td>0.461100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12230</td>\n",
       "      <td>0.464100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12235</td>\n",
       "      <td>0.452600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12240</td>\n",
       "      <td>0.455700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12245</td>\n",
       "      <td>0.457500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12250</td>\n",
       "      <td>0.439400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12255</td>\n",
       "      <td>0.427000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12260</td>\n",
       "      <td>0.428500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12265</td>\n",
       "      <td>0.419400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12270</td>\n",
       "      <td>0.424200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12275</td>\n",
       "      <td>0.427100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12280</td>\n",
       "      <td>0.425300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12285</td>\n",
       "      <td>0.430000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12290</td>\n",
       "      <td>0.430500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12295</td>\n",
       "      <td>0.427700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12300</td>\n",
       "      <td>0.431000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12305</td>\n",
       "      <td>0.432500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12310</td>\n",
       "      <td>0.428700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12315</td>\n",
       "      <td>0.431300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12320</td>\n",
       "      <td>0.433400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12325</td>\n",
       "      <td>0.427600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12330</td>\n",
       "      <td>0.427700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12335</td>\n",
       "      <td>0.430300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12340</td>\n",
       "      <td>0.434700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12345</td>\n",
       "      <td>0.430200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12350</td>\n",
       "      <td>0.433000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12355</td>\n",
       "      <td>0.430700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12360</td>\n",
       "      <td>0.433100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12365</td>\n",
       "      <td>0.426700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12370</td>\n",
       "      <td>0.433500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12375</td>\n",
       "      <td>0.430600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12380</td>\n",
       "      <td>0.427600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12385</td>\n",
       "      <td>0.432700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12390</td>\n",
       "      <td>0.436700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12395</td>\n",
       "      <td>0.433900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12400</td>\n",
       "      <td>0.436400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12405</td>\n",
       "      <td>0.433400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12410</td>\n",
       "      <td>0.432600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12415</td>\n",
       "      <td>0.437500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12420</td>\n",
       "      <td>0.436700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12425</td>\n",
       "      <td>0.432700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12430</td>\n",
       "      <td>0.425500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12435</td>\n",
       "      <td>0.437000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12440</td>\n",
       "      <td>0.429300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12445</td>\n",
       "      <td>0.441700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12450</td>\n",
       "      <td>0.437800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12455</td>\n",
       "      <td>0.439500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12460</td>\n",
       "      <td>0.434900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12465</td>\n",
       "      <td>0.437300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12470</td>\n",
       "      <td>0.432400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12475</td>\n",
       "      <td>0.430200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12480</td>\n",
       "      <td>0.436700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12485</td>\n",
       "      <td>0.437400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12490</td>\n",
       "      <td>0.444300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12495</td>\n",
       "      <td>0.442500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12500</td>\n",
       "      <td>0.438000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12505</td>\n",
       "      <td>0.434900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12510</td>\n",
       "      <td>0.443400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12515</td>\n",
       "      <td>0.442600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12520</td>\n",
       "      <td>0.427600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12525</td>\n",
       "      <td>0.436600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12530</td>\n",
       "      <td>0.438200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12535</td>\n",
       "      <td>0.438200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12540</td>\n",
       "      <td>0.434200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12545</td>\n",
       "      <td>0.438100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12550</td>\n",
       "      <td>0.438200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12555</td>\n",
       "      <td>0.433000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12560</td>\n",
       "      <td>0.432600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12565</td>\n",
       "      <td>0.436200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12570</td>\n",
       "      <td>0.439600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12575</td>\n",
       "      <td>0.439400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12580</td>\n",
       "      <td>0.437000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12585</td>\n",
       "      <td>0.434100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12590</td>\n",
       "      <td>0.440600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12595</td>\n",
       "      <td>0.438000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12600</td>\n",
       "      <td>0.443000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12605</td>\n",
       "      <td>0.433800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12610</td>\n",
       "      <td>0.444100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12615</td>\n",
       "      <td>0.439200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12620</td>\n",
       "      <td>0.443000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12625</td>\n",
       "      <td>0.439000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12630</td>\n",
       "      <td>0.443800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12635</td>\n",
       "      <td>0.441800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12640</td>\n",
       "      <td>0.450500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12645</td>\n",
       "      <td>0.440500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12650</td>\n",
       "      <td>0.437700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12655</td>\n",
       "      <td>0.438400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12660</td>\n",
       "      <td>0.437500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12665</td>\n",
       "      <td>0.440300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12670</td>\n",
       "      <td>0.446900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12675</td>\n",
       "      <td>0.440400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12680</td>\n",
       "      <td>0.443900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12685</td>\n",
       "      <td>0.438300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12690</td>\n",
       "      <td>0.438800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12695</td>\n",
       "      <td>0.444800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12700</td>\n",
       "      <td>0.442200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12705</td>\n",
       "      <td>0.445600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12710</td>\n",
       "      <td>0.439300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12715</td>\n",
       "      <td>0.443900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12720</td>\n",
       "      <td>0.419500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12725</td>\n",
       "      <td>0.411800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12730</td>\n",
       "      <td>0.416900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12735</td>\n",
       "      <td>0.408200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12740</td>\n",
       "      <td>0.416500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12745</td>\n",
       "      <td>0.408300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12750</td>\n",
       "      <td>0.414700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12755</td>\n",
       "      <td>0.410200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12760</td>\n",
       "      <td>0.414500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12765</td>\n",
       "      <td>0.417300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12770</td>\n",
       "      <td>0.413800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12775</td>\n",
       "      <td>0.419100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12780</td>\n",
       "      <td>0.416100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12785</td>\n",
       "      <td>0.420100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12790</td>\n",
       "      <td>0.414500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12795</td>\n",
       "      <td>0.418400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12800</td>\n",
       "      <td>0.415900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12805</td>\n",
       "      <td>0.419300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12810</td>\n",
       "      <td>0.417900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12815</td>\n",
       "      <td>0.421100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12820</td>\n",
       "      <td>0.420900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12825</td>\n",
       "      <td>0.416100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12830</td>\n",
       "      <td>0.426000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12835</td>\n",
       "      <td>0.419400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12840</td>\n",
       "      <td>0.422200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12845</td>\n",
       "      <td>0.421500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12850</td>\n",
       "      <td>0.421700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12855</td>\n",
       "      <td>0.428100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12860</td>\n",
       "      <td>0.418400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12865</td>\n",
       "      <td>0.424900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12870</td>\n",
       "      <td>0.418500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12875</td>\n",
       "      <td>0.420900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12880</td>\n",
       "      <td>0.424600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12885</td>\n",
       "      <td>0.425700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12890</td>\n",
       "      <td>0.421100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12895</td>\n",
       "      <td>0.418900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12900</td>\n",
       "      <td>0.426100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12905</td>\n",
       "      <td>0.422800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12910</td>\n",
       "      <td>0.421700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12915</td>\n",
       "      <td>0.420400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12920</td>\n",
       "      <td>0.428500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12925</td>\n",
       "      <td>0.426800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12930</td>\n",
       "      <td>0.423400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12935</td>\n",
       "      <td>0.421200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12940</td>\n",
       "      <td>0.419600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12945</td>\n",
       "      <td>0.422600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12950</td>\n",
       "      <td>0.422200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12955</td>\n",
       "      <td>0.429600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12960</td>\n",
       "      <td>0.423600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12965</td>\n",
       "      <td>0.428500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12970</td>\n",
       "      <td>0.426200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12975</td>\n",
       "      <td>0.431800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12980</td>\n",
       "      <td>0.424800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12985</td>\n",
       "      <td>0.424800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12990</td>\n",
       "      <td>0.427800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12995</td>\n",
       "      <td>0.433700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13000</td>\n",
       "      <td>0.425800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13005</td>\n",
       "      <td>0.423000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13010</td>\n",
       "      <td>0.425500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13015</td>\n",
       "      <td>0.424700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13020</td>\n",
       "      <td>0.423700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13025</td>\n",
       "      <td>0.426100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13030</td>\n",
       "      <td>0.436800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13035</td>\n",
       "      <td>0.427600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13040</td>\n",
       "      <td>0.432300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13045</td>\n",
       "      <td>0.429500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13050</td>\n",
       "      <td>0.429800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13055</td>\n",
       "      <td>0.428300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13060</td>\n",
       "      <td>0.422900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13065</td>\n",
       "      <td>0.429800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13070</td>\n",
       "      <td>0.423700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13075</td>\n",
       "      <td>0.427300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13080</td>\n",
       "      <td>0.421000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13085</td>\n",
       "      <td>0.427700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13090</td>\n",
       "      <td>0.425900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13095</td>\n",
       "      <td>0.426400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13100</td>\n",
       "      <td>0.426400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13105</td>\n",
       "      <td>0.422400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13110</td>\n",
       "      <td>0.429800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13115</td>\n",
       "      <td>0.428300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13120</td>\n",
       "      <td>0.434300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13125</td>\n",
       "      <td>0.431600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13130</td>\n",
       "      <td>0.425500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13135</td>\n",
       "      <td>0.425900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13140</td>\n",
       "      <td>0.430200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13145</td>\n",
       "      <td>0.431500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13150</td>\n",
       "      <td>0.429200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13155</td>\n",
       "      <td>0.432500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13160</td>\n",
       "      <td>0.426000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13165</td>\n",
       "      <td>0.429700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13170</td>\n",
       "      <td>0.429000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13175</td>\n",
       "      <td>0.424100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13180</td>\n",
       "      <td>0.432800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13185</td>\n",
       "      <td>0.428100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13190</td>\n",
       "      <td>0.421000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13195</td>\n",
       "      <td>0.401000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13200</td>\n",
       "      <td>0.407400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13205</td>\n",
       "      <td>0.404100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13210</td>\n",
       "      <td>0.402500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13215</td>\n",
       "      <td>0.405200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13220</td>\n",
       "      <td>0.404100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13225</td>\n",
       "      <td>0.408700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13230</td>\n",
       "      <td>0.405200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13235</td>\n",
       "      <td>0.400800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13240</td>\n",
       "      <td>0.404700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13245</td>\n",
       "      <td>0.405000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13250</td>\n",
       "      <td>0.409600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13255</td>\n",
       "      <td>0.407400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13260</td>\n",
       "      <td>0.407800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13265</td>\n",
       "      <td>0.414000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13270</td>\n",
       "      <td>0.413500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13275</td>\n",
       "      <td>0.410400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13280</td>\n",
       "      <td>0.408800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13285</td>\n",
       "      <td>0.409300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13290</td>\n",
       "      <td>0.409300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13295</td>\n",
       "      <td>0.411400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13300</td>\n",
       "      <td>0.412500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13305</td>\n",
       "      <td>0.418100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13310</td>\n",
       "      <td>0.410700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13315</td>\n",
       "      <td>0.410600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13320</td>\n",
       "      <td>0.413500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13325</td>\n",
       "      <td>0.408000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13330</td>\n",
       "      <td>0.410500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13335</td>\n",
       "      <td>0.414800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13340</td>\n",
       "      <td>0.411000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13345</td>\n",
       "      <td>0.413200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13350</td>\n",
       "      <td>0.412900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13355</td>\n",
       "      <td>0.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13360</td>\n",
       "      <td>0.413300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13365</td>\n",
       "      <td>0.413600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13370</td>\n",
       "      <td>0.412400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13375</td>\n",
       "      <td>0.415000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13380</td>\n",
       "      <td>0.415800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13385</td>\n",
       "      <td>0.416400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13390</td>\n",
       "      <td>0.418400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13395</td>\n",
       "      <td>0.415900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13400</td>\n",
       "      <td>0.414400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13405</td>\n",
       "      <td>0.415300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13410</td>\n",
       "      <td>0.414100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13415</td>\n",
       "      <td>0.415400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13420</td>\n",
       "      <td>0.418000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13425</td>\n",
       "      <td>0.415300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13430</td>\n",
       "      <td>0.414800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13435</td>\n",
       "      <td>0.421400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13440</td>\n",
       "      <td>0.414200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13445</td>\n",
       "      <td>0.412300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13450</td>\n",
       "      <td>0.415300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13455</td>\n",
       "      <td>0.416900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13460</td>\n",
       "      <td>0.414600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13465</td>\n",
       "      <td>0.415000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13470</td>\n",
       "      <td>0.418400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13475</td>\n",
       "      <td>0.423200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13480</td>\n",
       "      <td>0.415800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13485</td>\n",
       "      <td>0.411800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13490</td>\n",
       "      <td>0.417500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13495</td>\n",
       "      <td>0.416600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13500</td>\n",
       "      <td>0.416300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13505</td>\n",
       "      <td>0.421700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13510</td>\n",
       "      <td>0.417400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13515</td>\n",
       "      <td>0.422900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13520</td>\n",
       "      <td>0.419400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13525</td>\n",
       "      <td>0.416900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13530</td>\n",
       "      <td>0.420700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13535</td>\n",
       "      <td>0.420600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13540</td>\n",
       "      <td>0.417300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13545</td>\n",
       "      <td>0.416300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13550</td>\n",
       "      <td>0.421200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13555</td>\n",
       "      <td>0.421600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13560</td>\n",
       "      <td>0.417800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13565</td>\n",
       "      <td>0.424200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13570</td>\n",
       "      <td>0.420300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13575</td>\n",
       "      <td>0.427200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13580</td>\n",
       "      <td>0.417500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13585</td>\n",
       "      <td>0.417700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13590</td>\n",
       "      <td>0.415000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13595</td>\n",
       "      <td>0.424200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13600</td>\n",
       "      <td>0.419700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13605</td>\n",
       "      <td>0.425700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13610</td>\n",
       "      <td>0.421200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13615</td>\n",
       "      <td>0.417700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13620</td>\n",
       "      <td>0.416700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13625</td>\n",
       "      <td>0.422400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13630</td>\n",
       "      <td>0.423300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13635</td>\n",
       "      <td>0.418700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13640</td>\n",
       "      <td>0.423500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13645</td>\n",
       "      <td>0.418900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13650</td>\n",
       "      <td>0.420000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13655</td>\n",
       "      <td>0.420500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13660</td>\n",
       "      <td>0.415200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13665</td>\n",
       "      <td>0.396500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13670</td>\n",
       "      <td>0.393100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13675</td>\n",
       "      <td>0.399000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13680</td>\n",
       "      <td>0.394900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13685</td>\n",
       "      <td>0.398900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13690</td>\n",
       "      <td>0.396500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13695</td>\n",
       "      <td>0.396900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13700</td>\n",
       "      <td>0.396000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13705</td>\n",
       "      <td>0.401800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13710</td>\n",
       "      <td>0.397500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13715</td>\n",
       "      <td>0.396000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13720</td>\n",
       "      <td>0.397900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13725</td>\n",
       "      <td>0.396600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13730</td>\n",
       "      <td>0.397200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13735</td>\n",
       "      <td>0.398500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13740</td>\n",
       "      <td>0.396200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13745</td>\n",
       "      <td>0.402500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13750</td>\n",
       "      <td>0.401000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13755</td>\n",
       "      <td>0.399200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13760</td>\n",
       "      <td>0.403400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13765</td>\n",
       "      <td>0.401000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13770</td>\n",
       "      <td>0.402500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13775</td>\n",
       "      <td>0.404100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13780</td>\n",
       "      <td>0.406500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13785</td>\n",
       "      <td>0.399600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13790</td>\n",
       "      <td>0.400800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13795</td>\n",
       "      <td>0.403400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13800</td>\n",
       "      <td>0.406600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13805</td>\n",
       "      <td>0.404000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13810</td>\n",
       "      <td>0.405600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13815</td>\n",
       "      <td>0.409400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13820</td>\n",
       "      <td>0.403200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13825</td>\n",
       "      <td>0.407000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13830</td>\n",
       "      <td>0.404500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13835</td>\n",
       "      <td>0.405800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13840</td>\n",
       "      <td>0.406600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13845</td>\n",
       "      <td>0.405500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13850</td>\n",
       "      <td>0.407300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13855</td>\n",
       "      <td>0.404500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13860</td>\n",
       "      <td>0.407100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13865</td>\n",
       "      <td>0.407400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13870</td>\n",
       "      <td>0.405900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13875</td>\n",
       "      <td>0.407300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13880</td>\n",
       "      <td>0.404000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13885</td>\n",
       "      <td>0.408400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13890</td>\n",
       "      <td>0.407900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13895</td>\n",
       "      <td>0.407200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13900</td>\n",
       "      <td>0.408000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13905</td>\n",
       "      <td>0.413200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13910</td>\n",
       "      <td>0.409600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13915</td>\n",
       "      <td>0.405500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13920</td>\n",
       "      <td>0.405900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13925</td>\n",
       "      <td>0.406300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13930</td>\n",
       "      <td>0.412600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13935</td>\n",
       "      <td>0.404700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13940</td>\n",
       "      <td>0.406800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13945</td>\n",
       "      <td>0.414400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13950</td>\n",
       "      <td>0.408100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13955</td>\n",
       "      <td>0.410500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13960</td>\n",
       "      <td>0.411500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13965</td>\n",
       "      <td>0.406800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13970</td>\n",
       "      <td>0.417800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13975</td>\n",
       "      <td>0.406800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13980</td>\n",
       "      <td>0.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13985</td>\n",
       "      <td>0.411500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13990</td>\n",
       "      <td>0.414900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13995</td>\n",
       "      <td>0.410100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14000</td>\n",
       "      <td>0.411300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14005</td>\n",
       "      <td>0.414800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14010</td>\n",
       "      <td>0.413400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14015</td>\n",
       "      <td>0.413600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14020</td>\n",
       "      <td>0.410700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14025</td>\n",
       "      <td>0.409700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14030</td>\n",
       "      <td>0.414600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14035</td>\n",
       "      <td>0.410200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14040</td>\n",
       "      <td>0.408700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14045</td>\n",
       "      <td>0.416000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14050</td>\n",
       "      <td>0.413800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14055</td>\n",
       "      <td>0.410600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14060</td>\n",
       "      <td>0.418200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14065</td>\n",
       "      <td>0.418200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14070</td>\n",
       "      <td>0.414100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14075</td>\n",
       "      <td>0.418500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14080</td>\n",
       "      <td>0.414100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14085</td>\n",
       "      <td>0.416700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14090</td>\n",
       "      <td>0.414600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14095</td>\n",
       "      <td>0.418900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14100</td>\n",
       "      <td>0.409500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14105</td>\n",
       "      <td>0.413300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14110</td>\n",
       "      <td>0.413500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14115</td>\n",
       "      <td>0.417800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14120</td>\n",
       "      <td>0.412900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14125</td>\n",
       "      <td>0.413000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14130</td>\n",
       "      <td>0.417700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14135</td>\n",
       "      <td>0.392000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14140</td>\n",
       "      <td>0.385500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14145</td>\n",
       "      <td>0.389700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14150</td>\n",
       "      <td>0.391000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14155</td>\n",
       "      <td>0.389100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14160</td>\n",
       "      <td>0.390300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14165</td>\n",
       "      <td>0.390700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14170</td>\n",
       "      <td>0.394900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14175</td>\n",
       "      <td>0.390300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14180</td>\n",
       "      <td>0.392800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14185</td>\n",
       "      <td>0.391600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14190</td>\n",
       "      <td>0.391100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14195</td>\n",
       "      <td>0.394600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14200</td>\n",
       "      <td>0.395000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14205</td>\n",
       "      <td>0.396700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14210</td>\n",
       "      <td>0.394800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14215</td>\n",
       "      <td>0.395700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14220</td>\n",
       "      <td>0.393900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14225</td>\n",
       "      <td>0.396000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14230</td>\n",
       "      <td>0.399300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14235</td>\n",
       "      <td>0.393100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14240</td>\n",
       "      <td>0.391800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14245</td>\n",
       "      <td>0.397100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14250</td>\n",
       "      <td>0.400500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14255</td>\n",
       "      <td>0.399500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14260</td>\n",
       "      <td>0.395800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14265</td>\n",
       "      <td>0.399300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14270</td>\n",
       "      <td>0.397600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14275</td>\n",
       "      <td>0.398600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14280</td>\n",
       "      <td>0.400900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14285</td>\n",
       "      <td>0.399600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14290</td>\n",
       "      <td>0.398900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14295</td>\n",
       "      <td>0.395100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14300</td>\n",
       "      <td>0.401600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14305</td>\n",
       "      <td>0.404200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14310</td>\n",
       "      <td>0.398400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14315</td>\n",
       "      <td>0.395200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14320</td>\n",
       "      <td>0.397900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14325</td>\n",
       "      <td>0.399500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14330</td>\n",
       "      <td>0.403900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14335</td>\n",
       "      <td>0.402800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14340</td>\n",
       "      <td>0.401400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14345</td>\n",
       "      <td>0.395900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14350</td>\n",
       "      <td>0.400500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14355</td>\n",
       "      <td>0.406700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14360</td>\n",
       "      <td>0.404800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14365</td>\n",
       "      <td>0.400900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14370</td>\n",
       "      <td>0.403000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14375</td>\n",
       "      <td>0.400200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14380</td>\n",
       "      <td>0.404700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14385</td>\n",
       "      <td>0.400900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14390</td>\n",
       "      <td>0.400900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14395</td>\n",
       "      <td>0.400400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14400</td>\n",
       "      <td>0.405300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14405</td>\n",
       "      <td>0.408000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14410</td>\n",
       "      <td>0.401500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14415</td>\n",
       "      <td>0.402500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14420</td>\n",
       "      <td>0.403000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14425</td>\n",
       "      <td>0.401500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14430</td>\n",
       "      <td>0.404900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14435</td>\n",
       "      <td>0.403000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14440</td>\n",
       "      <td>0.403300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14445</td>\n",
       "      <td>0.404000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14450</td>\n",
       "      <td>0.405700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14455</td>\n",
       "      <td>0.409200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14460</td>\n",
       "      <td>0.400200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14465</td>\n",
       "      <td>0.407200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14470</td>\n",
       "      <td>0.406600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14475</td>\n",
       "      <td>0.402400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14480</td>\n",
       "      <td>0.408300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14485</td>\n",
       "      <td>0.406600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14490</td>\n",
       "      <td>0.406400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14495</td>\n",
       "      <td>0.404600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14500</td>\n",
       "      <td>0.407400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14505</td>\n",
       "      <td>0.408300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14510</td>\n",
       "      <td>0.401000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14515</td>\n",
       "      <td>0.400400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14520</td>\n",
       "      <td>0.407500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14525</td>\n",
       "      <td>0.407300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14530</td>\n",
       "      <td>0.409900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14535</td>\n",
       "      <td>0.409900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14540</td>\n",
       "      <td>0.406900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14545</td>\n",
       "      <td>0.409600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14550</td>\n",
       "      <td>0.403600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14555</td>\n",
       "      <td>0.405300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14560</td>\n",
       "      <td>0.411200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14565</td>\n",
       "      <td>0.408000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14570</td>\n",
       "      <td>0.407300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14575</td>\n",
       "      <td>0.404600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14580</td>\n",
       "      <td>0.404900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14585</td>\n",
       "      <td>0.407600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14590</td>\n",
       "      <td>0.409500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14595</td>\n",
       "      <td>0.408300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14600</td>\n",
       "      <td>0.407600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14605</td>\n",
       "      <td>0.387000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14610</td>\n",
       "      <td>0.381200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14615</td>\n",
       "      <td>0.386400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14620</td>\n",
       "      <td>0.383200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14625</td>\n",
       "      <td>0.386000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14630</td>\n",
       "      <td>0.384500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14635</td>\n",
       "      <td>0.384100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14640</td>\n",
       "      <td>0.387500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14645</td>\n",
       "      <td>0.385400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14650</td>\n",
       "      <td>0.386400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14655</td>\n",
       "      <td>0.385200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14660</td>\n",
       "      <td>0.388000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14665</td>\n",
       "      <td>0.392200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14670</td>\n",
       "      <td>0.388100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14675</td>\n",
       "      <td>0.390100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14680</td>\n",
       "      <td>0.385200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14685</td>\n",
       "      <td>0.391900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14690</td>\n",
       "      <td>0.388200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14695</td>\n",
       "      <td>0.393400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14700</td>\n",
       "      <td>0.391400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14705</td>\n",
       "      <td>0.394600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14710</td>\n",
       "      <td>0.394300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14715</td>\n",
       "      <td>0.392100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14720</td>\n",
       "      <td>0.388400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14725</td>\n",
       "      <td>0.387500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14730</td>\n",
       "      <td>0.391400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14735</td>\n",
       "      <td>0.393300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14740</td>\n",
       "      <td>0.391800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14745</td>\n",
       "      <td>0.391200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14750</td>\n",
       "      <td>0.393400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14755</td>\n",
       "      <td>0.391500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14760</td>\n",
       "      <td>0.392900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14765</td>\n",
       "      <td>0.390300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14770</td>\n",
       "      <td>0.395900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14775</td>\n",
       "      <td>0.394500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14780</td>\n",
       "      <td>0.394100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14785</td>\n",
       "      <td>0.396300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14790</td>\n",
       "      <td>0.393300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14795</td>\n",
       "      <td>0.393400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14800</td>\n",
       "      <td>0.394600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14805</td>\n",
       "      <td>0.393700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14810</td>\n",
       "      <td>0.394400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14815</td>\n",
       "      <td>0.395400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14820</td>\n",
       "      <td>0.397100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14825</td>\n",
       "      <td>0.395300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14830</td>\n",
       "      <td>0.395600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14835</td>\n",
       "      <td>0.398300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14840</td>\n",
       "      <td>0.398300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14845</td>\n",
       "      <td>0.393900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14850</td>\n",
       "      <td>0.398200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14855</td>\n",
       "      <td>0.396200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14860</td>\n",
       "      <td>0.401100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14865</td>\n",
       "      <td>0.402300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14870</td>\n",
       "      <td>0.397100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14875</td>\n",
       "      <td>0.392900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14880</td>\n",
       "      <td>0.401800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14885</td>\n",
       "      <td>0.393100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14890</td>\n",
       "      <td>0.399700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14895</td>\n",
       "      <td>0.395200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14900</td>\n",
       "      <td>0.396400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14905</td>\n",
       "      <td>0.399600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14910</td>\n",
       "      <td>0.402300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14915</td>\n",
       "      <td>0.399700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14920</td>\n",
       "      <td>0.397400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14925</td>\n",
       "      <td>0.398000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14930</td>\n",
       "      <td>0.395900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14935</td>\n",
       "      <td>0.399900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14940</td>\n",
       "      <td>0.395100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14945</td>\n",
       "      <td>0.399200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14950</td>\n",
       "      <td>0.400300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14955</td>\n",
       "      <td>0.401400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14960</td>\n",
       "      <td>0.401700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14965</td>\n",
       "      <td>0.395700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14970</td>\n",
       "      <td>0.402700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14975</td>\n",
       "      <td>0.404700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14980</td>\n",
       "      <td>0.402000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14985</td>\n",
       "      <td>0.401700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14990</td>\n",
       "      <td>0.397400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14995</td>\n",
       "      <td>0.401600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15000</td>\n",
       "      <td>0.403300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15005</td>\n",
       "      <td>0.403400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15010</td>\n",
       "      <td>0.404800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15015</td>\n",
       "      <td>0.400300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15020</td>\n",
       "      <td>0.399200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15025</td>\n",
       "      <td>0.403200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15030</td>\n",
       "      <td>0.400600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15035</td>\n",
       "      <td>0.403600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15040</td>\n",
       "      <td>0.400800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15045</td>\n",
       "      <td>0.402600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15050</td>\n",
       "      <td>0.401100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15055</td>\n",
       "      <td>0.403000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15060</td>\n",
       "      <td>0.402100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15065</td>\n",
       "      <td>0.399800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15070</td>\n",
       "      <td>0.402700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15075</td>\n",
       "      <td>0.389700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15080</td>\n",
       "      <td>0.382100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15085</td>\n",
       "      <td>0.382300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15090</td>\n",
       "      <td>0.382800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15095</td>\n",
       "      <td>0.378700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15100</td>\n",
       "      <td>0.378900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15105</td>\n",
       "      <td>0.382000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15110</td>\n",
       "      <td>0.384100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15115</td>\n",
       "      <td>0.382400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15120</td>\n",
       "      <td>0.379300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15125</td>\n",
       "      <td>0.381400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15130</td>\n",
       "      <td>0.379100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15135</td>\n",
       "      <td>0.381500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15140</td>\n",
       "      <td>0.385300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15145</td>\n",
       "      <td>0.383900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15150</td>\n",
       "      <td>0.383800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15155</td>\n",
       "      <td>0.385400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15160</td>\n",
       "      <td>0.384200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15165</td>\n",
       "      <td>0.386600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15170</td>\n",
       "      <td>0.384800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15175</td>\n",
       "      <td>0.387500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15180</td>\n",
       "      <td>0.387400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15185</td>\n",
       "      <td>0.385300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15190</td>\n",
       "      <td>0.386600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15195</td>\n",
       "      <td>0.389600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15200</td>\n",
       "      <td>0.387300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15205</td>\n",
       "      <td>0.385800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15210</td>\n",
       "      <td>0.387500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15215</td>\n",
       "      <td>0.389400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15220</td>\n",
       "      <td>0.390700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15225</td>\n",
       "      <td>0.391400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15230</td>\n",
       "      <td>0.387200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15235</td>\n",
       "      <td>0.388000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15240</td>\n",
       "      <td>0.387200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15245</td>\n",
       "      <td>0.392000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15250</td>\n",
       "      <td>0.388500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15255</td>\n",
       "      <td>0.392900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15260</td>\n",
       "      <td>0.391000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15265</td>\n",
       "      <td>0.388000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15270</td>\n",
       "      <td>0.392700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15275</td>\n",
       "      <td>0.391300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15280</td>\n",
       "      <td>0.389400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15285</td>\n",
       "      <td>0.393000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15290</td>\n",
       "      <td>0.396900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15295</td>\n",
       "      <td>0.392100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15300</td>\n",
       "      <td>0.389600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15305</td>\n",
       "      <td>0.394600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15310</td>\n",
       "      <td>0.393200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15315</td>\n",
       "      <td>0.392500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15320</td>\n",
       "      <td>0.390400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15325</td>\n",
       "      <td>0.391100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15330</td>\n",
       "      <td>0.394600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15335</td>\n",
       "      <td>0.389400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15340</td>\n",
       "      <td>0.389800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15345</td>\n",
       "      <td>0.392900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15350</td>\n",
       "      <td>0.389900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15355</td>\n",
       "      <td>0.392300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15360</td>\n",
       "      <td>0.395100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15365</td>\n",
       "      <td>0.391500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15370</td>\n",
       "      <td>0.394000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15375</td>\n",
       "      <td>0.394900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15380</td>\n",
       "      <td>0.392400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15385</td>\n",
       "      <td>0.391700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15390</td>\n",
       "      <td>0.396500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15395</td>\n",
       "      <td>0.395300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15400</td>\n",
       "      <td>0.396700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15405</td>\n",
       "      <td>0.395000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15410</td>\n",
       "      <td>0.395500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15415</td>\n",
       "      <td>0.391300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15420</td>\n",
       "      <td>0.394900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15425</td>\n",
       "      <td>0.397500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15430</td>\n",
       "      <td>0.389700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15435</td>\n",
       "      <td>0.395400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15440</td>\n",
       "      <td>0.394300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15445</td>\n",
       "      <td>0.397600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15450</td>\n",
       "      <td>0.395400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15455</td>\n",
       "      <td>0.398800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15460</td>\n",
       "      <td>0.396400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15465</td>\n",
       "      <td>0.392500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15470</td>\n",
       "      <td>0.394900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15475</td>\n",
       "      <td>0.397700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15480</td>\n",
       "      <td>0.397500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15485</td>\n",
       "      <td>0.396600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15490</td>\n",
       "      <td>0.399200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15495</td>\n",
       "      <td>0.395100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15500</td>\n",
       "      <td>0.397800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15505</td>\n",
       "      <td>0.396200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15510</td>\n",
       "      <td>0.394600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15515</td>\n",
       "      <td>0.395900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15520</td>\n",
       "      <td>0.394900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15525</td>\n",
       "      <td>0.398600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15530</td>\n",
       "      <td>0.396900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15535</td>\n",
       "      <td>0.398600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15540</td>\n",
       "      <td>0.398600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15545</td>\n",
       "      <td>0.389200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15550</td>\n",
       "      <td>0.376800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15555</td>\n",
       "      <td>0.378900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15560</td>\n",
       "      <td>0.375400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15565</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15570</td>\n",
       "      <td>0.380400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15575</td>\n",
       "      <td>0.375400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15580</td>\n",
       "      <td>0.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15585</td>\n",
       "      <td>0.374900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15590</td>\n",
       "      <td>0.377200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15595</td>\n",
       "      <td>0.380400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15600</td>\n",
       "      <td>0.375700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15605</td>\n",
       "      <td>0.379100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15610</td>\n",
       "      <td>0.376900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15615</td>\n",
       "      <td>0.378600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15620</td>\n",
       "      <td>0.374700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15625</td>\n",
       "      <td>0.383400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15630</td>\n",
       "      <td>0.377400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15635</td>\n",
       "      <td>0.380700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15640</td>\n",
       "      <td>0.377800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15645</td>\n",
       "      <td>0.379100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15650</td>\n",
       "      <td>0.385400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15655</td>\n",
       "      <td>0.384400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15660</td>\n",
       "      <td>0.385100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15665</td>\n",
       "      <td>0.379800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15670</td>\n",
       "      <td>0.383600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15675</td>\n",
       "      <td>0.385200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15680</td>\n",
       "      <td>0.380100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15685</td>\n",
       "      <td>0.382500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15690</td>\n",
       "      <td>0.385800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15695</td>\n",
       "      <td>0.384400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15700</td>\n",
       "      <td>0.384400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15705</td>\n",
       "      <td>0.383700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15710</td>\n",
       "      <td>0.387000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15715</td>\n",
       "      <td>0.385400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15720</td>\n",
       "      <td>0.384100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15725</td>\n",
       "      <td>0.381600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15730</td>\n",
       "      <td>0.384300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15735</td>\n",
       "      <td>0.383700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15740</td>\n",
       "      <td>0.384700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15745</td>\n",
       "      <td>0.385900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15750</td>\n",
       "      <td>0.387400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15755</td>\n",
       "      <td>0.385200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15760</td>\n",
       "      <td>0.386900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15765</td>\n",
       "      <td>0.389800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15770</td>\n",
       "      <td>0.386200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15775</td>\n",
       "      <td>0.386200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15780</td>\n",
       "      <td>0.390000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15785</td>\n",
       "      <td>0.387100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15790</td>\n",
       "      <td>0.388500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15795</td>\n",
       "      <td>0.389000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15800</td>\n",
       "      <td>0.388800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15805</td>\n",
       "      <td>0.389700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15810</td>\n",
       "      <td>0.389300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15815</td>\n",
       "      <td>0.386300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15820</td>\n",
       "      <td>0.389400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15825</td>\n",
       "      <td>0.387900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15830</td>\n",
       "      <td>0.389000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15835</td>\n",
       "      <td>0.392000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15840</td>\n",
       "      <td>0.389800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15845</td>\n",
       "      <td>0.390100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15850</td>\n",
       "      <td>0.393000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15855</td>\n",
       "      <td>0.392000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15860</td>\n",
       "      <td>0.389200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15865</td>\n",
       "      <td>0.389400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15870</td>\n",
       "      <td>0.391600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15875</td>\n",
       "      <td>0.392800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15880</td>\n",
       "      <td>0.391900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15885</td>\n",
       "      <td>0.390700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15890</td>\n",
       "      <td>0.388500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15895</td>\n",
       "      <td>0.394000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15900</td>\n",
       "      <td>0.391000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15905</td>\n",
       "      <td>0.391900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15910</td>\n",
       "      <td>0.390200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15915</td>\n",
       "      <td>0.388300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15920</td>\n",
       "      <td>0.389900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15925</td>\n",
       "      <td>0.392100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15930</td>\n",
       "      <td>0.391300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15935</td>\n",
       "      <td>0.393600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15940</td>\n",
       "      <td>0.391000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15945</td>\n",
       "      <td>0.394000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15950</td>\n",
       "      <td>0.389200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15955</td>\n",
       "      <td>0.392300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15960</td>\n",
       "      <td>0.391300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15965</td>\n",
       "      <td>0.389800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15970</td>\n",
       "      <td>0.393400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15975</td>\n",
       "      <td>0.389800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15980</td>\n",
       "      <td>0.390700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15985</td>\n",
       "      <td>0.396600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15990</td>\n",
       "      <td>0.393700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15995</td>\n",
       "      <td>0.395100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16000</td>\n",
       "      <td>0.393600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16005</td>\n",
       "      <td>0.392100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16010</td>\n",
       "      <td>0.393000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16015</td>\n",
       "      <td>0.392900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16020</td>\n",
       "      <td>0.373800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16025</td>\n",
       "      <td>0.370700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16030</td>\n",
       "      <td>0.371200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16035</td>\n",
       "      <td>0.373100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16040</td>\n",
       "      <td>0.372700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16045</td>\n",
       "      <td>0.373600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16050</td>\n",
       "      <td>0.374400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16055</td>\n",
       "      <td>0.374700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16060</td>\n",
       "      <td>0.373200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16065</td>\n",
       "      <td>0.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16070</td>\n",
       "      <td>0.377500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16075</td>\n",
       "      <td>0.374500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16080</td>\n",
       "      <td>0.374100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16085</td>\n",
       "      <td>0.376100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16090</td>\n",
       "      <td>0.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16095</td>\n",
       "      <td>0.373900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16100</td>\n",
       "      <td>0.372300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16105</td>\n",
       "      <td>0.374100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16110</td>\n",
       "      <td>0.378600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16115</td>\n",
       "      <td>0.379400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16120</td>\n",
       "      <td>0.377200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16125</td>\n",
       "      <td>0.375300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16130</td>\n",
       "      <td>0.377400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16135</td>\n",
       "      <td>0.377100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16140</td>\n",
       "      <td>0.377700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16145</td>\n",
       "      <td>0.380500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16150</td>\n",
       "      <td>0.379100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16155</td>\n",
       "      <td>0.384400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16160</td>\n",
       "      <td>0.381600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16165</td>\n",
       "      <td>0.378100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16170</td>\n",
       "      <td>0.382700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16175</td>\n",
       "      <td>0.379300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16180</td>\n",
       "      <td>0.380500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16185</td>\n",
       "      <td>0.381400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16190</td>\n",
       "      <td>0.381800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16195</td>\n",
       "      <td>0.382300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16200</td>\n",
       "      <td>0.379900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16205</td>\n",
       "      <td>0.380900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16210</td>\n",
       "      <td>0.380000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16215</td>\n",
       "      <td>0.385200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16220</td>\n",
       "      <td>0.377800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16225</td>\n",
       "      <td>0.384100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16230</td>\n",
       "      <td>0.383100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16235</td>\n",
       "      <td>0.383200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16240</td>\n",
       "      <td>0.382100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16245</td>\n",
       "      <td>0.380600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16250</td>\n",
       "      <td>0.383000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16255</td>\n",
       "      <td>0.386600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16260</td>\n",
       "      <td>0.383400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16265</td>\n",
       "      <td>0.385300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16270</td>\n",
       "      <td>0.387200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16275</td>\n",
       "      <td>0.386200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16280</td>\n",
       "      <td>0.383900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16285</td>\n",
       "      <td>0.380700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16290</td>\n",
       "      <td>0.389200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16295</td>\n",
       "      <td>0.386500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16300</td>\n",
       "      <td>0.387400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16305</td>\n",
       "      <td>0.387100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16310</td>\n",
       "      <td>0.387900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16315</td>\n",
       "      <td>0.384600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16320</td>\n",
       "      <td>0.386000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16325</td>\n",
       "      <td>0.386300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16330</td>\n",
       "      <td>0.385000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16335</td>\n",
       "      <td>0.386000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16340</td>\n",
       "      <td>0.384100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16345</td>\n",
       "      <td>0.386900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16350</td>\n",
       "      <td>0.386600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16355</td>\n",
       "      <td>0.389900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16360</td>\n",
       "      <td>0.385100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16365</td>\n",
       "      <td>0.390000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16370</td>\n",
       "      <td>0.386500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16375</td>\n",
       "      <td>0.385000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16380</td>\n",
       "      <td>0.386100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16385</td>\n",
       "      <td>0.388600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16390</td>\n",
       "      <td>0.387400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16395</td>\n",
       "      <td>0.384000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16400</td>\n",
       "      <td>0.388100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16405</td>\n",
       "      <td>0.389100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16410</td>\n",
       "      <td>0.391500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16415</td>\n",
       "      <td>0.391000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16420</td>\n",
       "      <td>0.389200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16425</td>\n",
       "      <td>0.384800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16430</td>\n",
       "      <td>0.387000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16435</td>\n",
       "      <td>0.389000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16440</td>\n",
       "      <td>0.386900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16445</td>\n",
       "      <td>0.389300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16450</td>\n",
       "      <td>0.389800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16455</td>\n",
       "      <td>0.388300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16460</td>\n",
       "      <td>0.392800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16465</td>\n",
       "      <td>0.392200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16470</td>\n",
       "      <td>0.390000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16475</td>\n",
       "      <td>0.385800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16480</td>\n",
       "      <td>0.388000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16485</td>\n",
       "      <td>0.389400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16490</td>\n",
       "      <td>0.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16495</td>\n",
       "      <td>0.368900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16500</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16505</td>\n",
       "      <td>0.370100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16510</td>\n",
       "      <td>0.369100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16515</td>\n",
       "      <td>0.367000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16520</td>\n",
       "      <td>0.372200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16525</td>\n",
       "      <td>0.370600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16530</td>\n",
       "      <td>0.374300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16535</td>\n",
       "      <td>0.369700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16540</td>\n",
       "      <td>0.370600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16545</td>\n",
       "      <td>0.374600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16550</td>\n",
       "      <td>0.370600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16555</td>\n",
       "      <td>0.373200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16560</td>\n",
       "      <td>0.373200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16565</td>\n",
       "      <td>0.374000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16570</td>\n",
       "      <td>0.370600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16575</td>\n",
       "      <td>0.374400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16580</td>\n",
       "      <td>0.373600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16585</td>\n",
       "      <td>0.371300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16590</td>\n",
       "      <td>0.374900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16595</td>\n",
       "      <td>0.376600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16600</td>\n",
       "      <td>0.375700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16605</td>\n",
       "      <td>0.376300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16610</td>\n",
       "      <td>0.373900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16615</td>\n",
       "      <td>0.376600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16620</td>\n",
       "      <td>0.382300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16625</td>\n",
       "      <td>0.379100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16630</td>\n",
       "      <td>0.374100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16635</td>\n",
       "      <td>0.378200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16640</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16645</td>\n",
       "      <td>0.379500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16650</td>\n",
       "      <td>0.376500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16655</td>\n",
       "      <td>0.379200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16660</td>\n",
       "      <td>0.376300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16665</td>\n",
       "      <td>0.374300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16670</td>\n",
       "      <td>0.376700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16675</td>\n",
       "      <td>0.375600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16680</td>\n",
       "      <td>0.379800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16685</td>\n",
       "      <td>0.380700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16690</td>\n",
       "      <td>0.380300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16695</td>\n",
       "      <td>0.383000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16700</td>\n",
       "      <td>0.379700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16705</td>\n",
       "      <td>0.379500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16710</td>\n",
       "      <td>0.381200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16715</td>\n",
       "      <td>0.381300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16720</td>\n",
       "      <td>0.379600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16725</td>\n",
       "      <td>0.379400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16730</td>\n",
       "      <td>0.379100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16735</td>\n",
       "      <td>0.379100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16740</td>\n",
       "      <td>0.374700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16745</td>\n",
       "      <td>0.383600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16750</td>\n",
       "      <td>0.378500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16755</td>\n",
       "      <td>0.380900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16760</td>\n",
       "      <td>0.382100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16765</td>\n",
       "      <td>0.380200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16770</td>\n",
       "      <td>0.381100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16775</td>\n",
       "      <td>0.382900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16780</td>\n",
       "      <td>0.386400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16785</td>\n",
       "      <td>0.385000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16790</td>\n",
       "      <td>0.378600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16795</td>\n",
       "      <td>0.380900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16800</td>\n",
       "      <td>0.385900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16805</td>\n",
       "      <td>0.384000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16810</td>\n",
       "      <td>0.384500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16815</td>\n",
       "      <td>0.380600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16820</td>\n",
       "      <td>0.380400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16825</td>\n",
       "      <td>0.384900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16830</td>\n",
       "      <td>0.386300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16835</td>\n",
       "      <td>0.386600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16840</td>\n",
       "      <td>0.389000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16845</td>\n",
       "      <td>0.384500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16850</td>\n",
       "      <td>0.383300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16855</td>\n",
       "      <td>0.384500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16860</td>\n",
       "      <td>0.386800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16865</td>\n",
       "      <td>0.386700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16870</td>\n",
       "      <td>0.387800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16875</td>\n",
       "      <td>0.383500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16880</td>\n",
       "      <td>0.387800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16885</td>\n",
       "      <td>0.385300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16890</td>\n",
       "      <td>0.384700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16895</td>\n",
       "      <td>0.387800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16900</td>\n",
       "      <td>0.385500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16905</td>\n",
       "      <td>0.384500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16910</td>\n",
       "      <td>0.385100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16915</td>\n",
       "      <td>0.385000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16920</td>\n",
       "      <td>0.388500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16925</td>\n",
       "      <td>0.383700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16930</td>\n",
       "      <td>0.385000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16935</td>\n",
       "      <td>0.389800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16940</td>\n",
       "      <td>0.384400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16945</td>\n",
       "      <td>0.385700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16950</td>\n",
       "      <td>0.387300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16955</td>\n",
       "      <td>0.384600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16960</td>\n",
       "      <td>0.366900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16965</td>\n",
       "      <td>0.364300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16970</td>\n",
       "      <td>0.365300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16975</td>\n",
       "      <td>0.365300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16980</td>\n",
       "      <td>0.368300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16985</td>\n",
       "      <td>0.366800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16990</td>\n",
       "      <td>0.367900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16995</td>\n",
       "      <td>0.370200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17000</td>\n",
       "      <td>0.368700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17005</td>\n",
       "      <td>0.367300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17010</td>\n",
       "      <td>0.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17015</td>\n",
       "      <td>0.371600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17020</td>\n",
       "      <td>0.371400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17025</td>\n",
       "      <td>0.369100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17030</td>\n",
       "      <td>0.370900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17035</td>\n",
       "      <td>0.370400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17040</td>\n",
       "      <td>0.367100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17045</td>\n",
       "      <td>0.367100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17050</td>\n",
       "      <td>0.372100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17055</td>\n",
       "      <td>0.370100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17060</td>\n",
       "      <td>0.374900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17065</td>\n",
       "      <td>0.371300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17070</td>\n",
       "      <td>0.372400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17075</td>\n",
       "      <td>0.369500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17080</td>\n",
       "      <td>0.373200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17085</td>\n",
       "      <td>0.371400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17090</td>\n",
       "      <td>0.372000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17095</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17100</td>\n",
       "      <td>0.373300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17105</td>\n",
       "      <td>0.373600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17110</td>\n",
       "      <td>0.371500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17115</td>\n",
       "      <td>0.376100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17120</td>\n",
       "      <td>0.375900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17125</td>\n",
       "      <td>0.375400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17130</td>\n",
       "      <td>0.372100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17135</td>\n",
       "      <td>0.374700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17140</td>\n",
       "      <td>0.379100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17145</td>\n",
       "      <td>0.375800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17150</td>\n",
       "      <td>0.373800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17155</td>\n",
       "      <td>0.375200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17160</td>\n",
       "      <td>0.378300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17165</td>\n",
       "      <td>0.375700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17170</td>\n",
       "      <td>0.377600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17175</td>\n",
       "      <td>0.377200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17180</td>\n",
       "      <td>0.375400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17185</td>\n",
       "      <td>0.380700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17190</td>\n",
       "      <td>0.379800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17195</td>\n",
       "      <td>0.378700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17200</td>\n",
       "      <td>0.377100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17205</td>\n",
       "      <td>0.374600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17210</td>\n",
       "      <td>0.377300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17215</td>\n",
       "      <td>0.378800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17220</td>\n",
       "      <td>0.380200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17225</td>\n",
       "      <td>0.377300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17230</td>\n",
       "      <td>0.381200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17235</td>\n",
       "      <td>0.381400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17240</td>\n",
       "      <td>0.380000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17245</td>\n",
       "      <td>0.380300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17250</td>\n",
       "      <td>0.377600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17255</td>\n",
       "      <td>0.376000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17260</td>\n",
       "      <td>0.377100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17265</td>\n",
       "      <td>0.380900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17270</td>\n",
       "      <td>0.378700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17275</td>\n",
       "      <td>0.378300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17280</td>\n",
       "      <td>0.381900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17285</td>\n",
       "      <td>0.376700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17290</td>\n",
       "      <td>0.381700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17295</td>\n",
       "      <td>0.382200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17300</td>\n",
       "      <td>0.384200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17305</td>\n",
       "      <td>0.379600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17310</td>\n",
       "      <td>0.380400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17315</td>\n",
       "      <td>0.379500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17320</td>\n",
       "      <td>0.380700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17325</td>\n",
       "      <td>0.381000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17330</td>\n",
       "      <td>0.382600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17335</td>\n",
       "      <td>0.382600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17340</td>\n",
       "      <td>0.383100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17345</td>\n",
       "      <td>0.382100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17350</td>\n",
       "      <td>0.380100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17355</td>\n",
       "      <td>0.381100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17360</td>\n",
       "      <td>0.383300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17365</td>\n",
       "      <td>0.383800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17370</td>\n",
       "      <td>0.383800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17375</td>\n",
       "      <td>0.383700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17380</td>\n",
       "      <td>0.380900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17385</td>\n",
       "      <td>0.382400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17390</td>\n",
       "      <td>0.381400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17395</td>\n",
       "      <td>0.382800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17400</td>\n",
       "      <td>0.380700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17405</td>\n",
       "      <td>0.382500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17410</td>\n",
       "      <td>0.384900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17415</td>\n",
       "      <td>0.383500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17420</td>\n",
       "      <td>0.384200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17425</td>\n",
       "      <td>0.383700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17430</td>\n",
       "      <td>0.369400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17435</td>\n",
       "      <td>0.363400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17440</td>\n",
       "      <td>0.361300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17445</td>\n",
       "      <td>0.364200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17450</td>\n",
       "      <td>0.363700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17455</td>\n",
       "      <td>0.362500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17460</td>\n",
       "      <td>0.363700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17465</td>\n",
       "      <td>0.364600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17470</td>\n",
       "      <td>0.365700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17475</td>\n",
       "      <td>0.360900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17480</td>\n",
       "      <td>0.367800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17485</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17490</td>\n",
       "      <td>0.367100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17495</td>\n",
       "      <td>0.366800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17500</td>\n",
       "      <td>0.366200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17505</td>\n",
       "      <td>0.366200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17510</td>\n",
       "      <td>0.366300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17515</td>\n",
       "      <td>0.368500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17520</td>\n",
       "      <td>0.367700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17525</td>\n",
       "      <td>0.369300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17530</td>\n",
       "      <td>0.366800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17535</td>\n",
       "      <td>0.368200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17540</td>\n",
       "      <td>0.370400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17545</td>\n",
       "      <td>0.371500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17550</td>\n",
       "      <td>0.370100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17555</td>\n",
       "      <td>0.368100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17560</td>\n",
       "      <td>0.371800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17565</td>\n",
       "      <td>0.369400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17570</td>\n",
       "      <td>0.368300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17575</td>\n",
       "      <td>0.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17580</td>\n",
       "      <td>0.369900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17585</td>\n",
       "      <td>0.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17590</td>\n",
       "      <td>0.371200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17595</td>\n",
       "      <td>0.374300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17600</td>\n",
       "      <td>0.372700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17605</td>\n",
       "      <td>0.372300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17610</td>\n",
       "      <td>0.372100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17615</td>\n",
       "      <td>0.372100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17620</td>\n",
       "      <td>0.373200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17625</td>\n",
       "      <td>0.372900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17630</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17635</td>\n",
       "      <td>0.371400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17640</td>\n",
       "      <td>0.374900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17645</td>\n",
       "      <td>0.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17650</td>\n",
       "      <td>0.375400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17655</td>\n",
       "      <td>0.376400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17660</td>\n",
       "      <td>0.374100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17665</td>\n",
       "      <td>0.374200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17670</td>\n",
       "      <td>0.374500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17675</td>\n",
       "      <td>0.373400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17680</td>\n",
       "      <td>0.376700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17685</td>\n",
       "      <td>0.373100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17690</td>\n",
       "      <td>0.375900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17695</td>\n",
       "      <td>0.374600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17700</td>\n",
       "      <td>0.376500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17705</td>\n",
       "      <td>0.375300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17710</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17715</td>\n",
       "      <td>0.377800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17720</td>\n",
       "      <td>0.375200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17725</td>\n",
       "      <td>0.377200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17730</td>\n",
       "      <td>0.377100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17735</td>\n",
       "      <td>0.377600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17740</td>\n",
       "      <td>0.375900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17745</td>\n",
       "      <td>0.376500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17750</td>\n",
       "      <td>0.374000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17755</td>\n",
       "      <td>0.380500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17760</td>\n",
       "      <td>0.380100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17765</td>\n",
       "      <td>0.378800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17770</td>\n",
       "      <td>0.380200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17775</td>\n",
       "      <td>0.379800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17780</td>\n",
       "      <td>0.380200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17785</td>\n",
       "      <td>0.377800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17790</td>\n",
       "      <td>0.378700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17795</td>\n",
       "      <td>0.377000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17800</td>\n",
       "      <td>0.375100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17805</td>\n",
       "      <td>0.376800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17810</td>\n",
       "      <td>0.377400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17815</td>\n",
       "      <td>0.380900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17820</td>\n",
       "      <td>0.378400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17825</td>\n",
       "      <td>0.380000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17830</td>\n",
       "      <td>0.380100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17835</td>\n",
       "      <td>0.381600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17840</td>\n",
       "      <td>0.382000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17845</td>\n",
       "      <td>0.379500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17850</td>\n",
       "      <td>0.385200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17855</td>\n",
       "      <td>0.379900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17860</td>\n",
       "      <td>0.380800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17865</td>\n",
       "      <td>0.382300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17870</td>\n",
       "      <td>0.382600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17875</td>\n",
       "      <td>0.382800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17880</td>\n",
       "      <td>0.380700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17885</td>\n",
       "      <td>0.380300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17890</td>\n",
       "      <td>0.383300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17895</td>\n",
       "      <td>0.380300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17900</td>\n",
       "      <td>0.373500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17905</td>\n",
       "      <td>0.361100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17910</td>\n",
       "      <td>0.360100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17915</td>\n",
       "      <td>0.357200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17920</td>\n",
       "      <td>0.362100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17925</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17930</td>\n",
       "      <td>0.363300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17935</td>\n",
       "      <td>0.364600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17940</td>\n",
       "      <td>0.361200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17945</td>\n",
       "      <td>0.365100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17950</td>\n",
       "      <td>0.360600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17955</td>\n",
       "      <td>0.360400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17960</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17965</td>\n",
       "      <td>0.361400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17970</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17975</td>\n",
       "      <td>0.363700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17980</td>\n",
       "      <td>0.363200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17985</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17990</td>\n",
       "      <td>0.368600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17995</td>\n",
       "      <td>0.366000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18000</td>\n",
       "      <td>0.368400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18005</td>\n",
       "      <td>0.367300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18010</td>\n",
       "      <td>0.370200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18015</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18020</td>\n",
       "      <td>0.367300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18025</td>\n",
       "      <td>0.369100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18030</td>\n",
       "      <td>0.364600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18035</td>\n",
       "      <td>0.369000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18040</td>\n",
       "      <td>0.369100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18045</td>\n",
       "      <td>0.364600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18050</td>\n",
       "      <td>0.371400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18055</td>\n",
       "      <td>0.369500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18060</td>\n",
       "      <td>0.370300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18065</td>\n",
       "      <td>0.371500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18070</td>\n",
       "      <td>0.366600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18075</td>\n",
       "      <td>0.368600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18080</td>\n",
       "      <td>0.369100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18085</td>\n",
       "      <td>0.370500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18090</td>\n",
       "      <td>0.371800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18095</td>\n",
       "      <td>0.371900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18100</td>\n",
       "      <td>0.371000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18105</td>\n",
       "      <td>0.370900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18110</td>\n",
       "      <td>0.372600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18115</td>\n",
       "      <td>0.371800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18120</td>\n",
       "      <td>0.371700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18125</td>\n",
       "      <td>0.371300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18130</td>\n",
       "      <td>0.372400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18135</td>\n",
       "      <td>0.371800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18140</td>\n",
       "      <td>0.372300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18145</td>\n",
       "      <td>0.373400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18150</td>\n",
       "      <td>0.374000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18155</td>\n",
       "      <td>0.371800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18160</td>\n",
       "      <td>0.372900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18165</td>\n",
       "      <td>0.372000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18170</td>\n",
       "      <td>0.372700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18175</td>\n",
       "      <td>0.374600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18180</td>\n",
       "      <td>0.374400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18185</td>\n",
       "      <td>0.371400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18190</td>\n",
       "      <td>0.373300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18195</td>\n",
       "      <td>0.377000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18200</td>\n",
       "      <td>0.374000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18205</td>\n",
       "      <td>0.377100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18210</td>\n",
       "      <td>0.374000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18215</td>\n",
       "      <td>0.376300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18220</td>\n",
       "      <td>0.375100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18225</td>\n",
       "      <td>0.373300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18230</td>\n",
       "      <td>0.375300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18235</td>\n",
       "      <td>0.373500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18240</td>\n",
       "      <td>0.373500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18245</td>\n",
       "      <td>0.374300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18250</td>\n",
       "      <td>0.376300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18255</td>\n",
       "      <td>0.378400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18260</td>\n",
       "      <td>0.379900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18265</td>\n",
       "      <td>0.375400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18270</td>\n",
       "      <td>0.379300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18275</td>\n",
       "      <td>0.378400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18280</td>\n",
       "      <td>0.379800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18285</td>\n",
       "      <td>0.379200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18290</td>\n",
       "      <td>0.377200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18295</td>\n",
       "      <td>0.376300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18300</td>\n",
       "      <td>0.380400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18305</td>\n",
       "      <td>0.377000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18310</td>\n",
       "      <td>0.375900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18315</td>\n",
       "      <td>0.377300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18320</td>\n",
       "      <td>0.377000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18325</td>\n",
       "      <td>0.377900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18330</td>\n",
       "      <td>0.378300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18335</td>\n",
       "      <td>0.378000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18340</td>\n",
       "      <td>0.379900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18345</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18350</td>\n",
       "      <td>0.378600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18355</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18360</td>\n",
       "      <td>0.377300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18365</td>\n",
       "      <td>0.379300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18370</td>\n",
       "      <td>0.376600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18375</td>\n",
       "      <td>0.358100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18380</td>\n",
       "      <td>0.360900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18385</td>\n",
       "      <td>0.357000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18390</td>\n",
       "      <td>0.358900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18395</td>\n",
       "      <td>0.360100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18400</td>\n",
       "      <td>0.360900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18405</td>\n",
       "      <td>0.361300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18410</td>\n",
       "      <td>0.357800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18415</td>\n",
       "      <td>0.359400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18420</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18425</td>\n",
       "      <td>0.362800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18430</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18435</td>\n",
       "      <td>0.359900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18440</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18445</td>\n",
       "      <td>0.362200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18450</td>\n",
       "      <td>0.365900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18455</td>\n",
       "      <td>0.365700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18460</td>\n",
       "      <td>0.362300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18465</td>\n",
       "      <td>0.366900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18470</td>\n",
       "      <td>0.363300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18475</td>\n",
       "      <td>0.365000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18480</td>\n",
       "      <td>0.365800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18485</td>\n",
       "      <td>0.365200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18490</td>\n",
       "      <td>0.366400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18495</td>\n",
       "      <td>0.366500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18500</td>\n",
       "      <td>0.365900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18505</td>\n",
       "      <td>0.366600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18510</td>\n",
       "      <td>0.364200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18515</td>\n",
       "      <td>0.367200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18520</td>\n",
       "      <td>0.371300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18525</td>\n",
       "      <td>0.367400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18530</td>\n",
       "      <td>0.367000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18535</td>\n",
       "      <td>0.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18540</td>\n",
       "      <td>0.367400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18545</td>\n",
       "      <td>0.366800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18550</td>\n",
       "      <td>0.367500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18555</td>\n",
       "      <td>0.365000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18560</td>\n",
       "      <td>0.368400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18565</td>\n",
       "      <td>0.367800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18570</td>\n",
       "      <td>0.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18575</td>\n",
       "      <td>0.369300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18580</td>\n",
       "      <td>0.369600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18585</td>\n",
       "      <td>0.366600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18590</td>\n",
       "      <td>0.370100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18595</td>\n",
       "      <td>0.368200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18600</td>\n",
       "      <td>0.367700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18605</td>\n",
       "      <td>0.372100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18610</td>\n",
       "      <td>0.369900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18615</td>\n",
       "      <td>0.368900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18620</td>\n",
       "      <td>0.370800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18625</td>\n",
       "      <td>0.369000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18630</td>\n",
       "      <td>0.367700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18635</td>\n",
       "      <td>0.372600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18640</td>\n",
       "      <td>0.366800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18645</td>\n",
       "      <td>0.369400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18650</td>\n",
       "      <td>0.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18655</td>\n",
       "      <td>0.370600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18660</td>\n",
       "      <td>0.371600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18665</td>\n",
       "      <td>0.372800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18670</td>\n",
       "      <td>0.371000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18675</td>\n",
       "      <td>0.374100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18680</td>\n",
       "      <td>0.371000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18685</td>\n",
       "      <td>0.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18690</td>\n",
       "      <td>0.375100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18695</td>\n",
       "      <td>0.372100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18700</td>\n",
       "      <td>0.373700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18705</td>\n",
       "      <td>0.373900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18710</td>\n",
       "      <td>0.374400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18715</td>\n",
       "      <td>0.375600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18720</td>\n",
       "      <td>0.372600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18725</td>\n",
       "      <td>0.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18730</td>\n",
       "      <td>0.373500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18735</td>\n",
       "      <td>0.374600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18740</td>\n",
       "      <td>0.372200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18745</td>\n",
       "      <td>0.375900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18750</td>\n",
       "      <td>0.373600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18755</td>\n",
       "      <td>0.372000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18760</td>\n",
       "      <td>0.375900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18765</td>\n",
       "      <td>0.377000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18770</td>\n",
       "      <td>0.375200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18775</td>\n",
       "      <td>0.374500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18780</td>\n",
       "      <td>0.374900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18785</td>\n",
       "      <td>0.376100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18790</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18795</td>\n",
       "      <td>0.373400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18800</td>\n",
       "      <td>0.374500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18805</td>\n",
       "      <td>0.374800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18810</td>\n",
       "      <td>0.373700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18815</td>\n",
       "      <td>0.375700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18820</td>\n",
       "      <td>0.374000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18825</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18830</td>\n",
       "      <td>0.377100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18835</td>\n",
       "      <td>0.375700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18840</td>\n",
       "      <td>0.375500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18845</td>\n",
       "      <td>0.355800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18850</td>\n",
       "      <td>0.356400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18855</td>\n",
       "      <td>0.353700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18860</td>\n",
       "      <td>0.356600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18865</td>\n",
       "      <td>0.357000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18870</td>\n",
       "      <td>0.355200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18875</td>\n",
       "      <td>0.359500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18880</td>\n",
       "      <td>0.356300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18885</td>\n",
       "      <td>0.356100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18890</td>\n",
       "      <td>0.360400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18895</td>\n",
       "      <td>0.358700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18900</td>\n",
       "      <td>0.359200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18905</td>\n",
       "      <td>0.358000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18910</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18915</td>\n",
       "      <td>0.358400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18920</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18925</td>\n",
       "      <td>0.361600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18930</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18935</td>\n",
       "      <td>0.362800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18940</td>\n",
       "      <td>0.365100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18945</td>\n",
       "      <td>0.362100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18950</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18955</td>\n",
       "      <td>0.361200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18960</td>\n",
       "      <td>0.366900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18965</td>\n",
       "      <td>0.363000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18970</td>\n",
       "      <td>0.362300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18975</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18980</td>\n",
       "      <td>0.363300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18985</td>\n",
       "      <td>0.366600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18990</td>\n",
       "      <td>0.363800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18995</td>\n",
       "      <td>0.364300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19000</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19005</td>\n",
       "      <td>0.367900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19010</td>\n",
       "      <td>0.368500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19015</td>\n",
       "      <td>0.366300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19020</td>\n",
       "      <td>0.366200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19025</td>\n",
       "      <td>0.368800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19030</td>\n",
       "      <td>0.367100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19035</td>\n",
       "      <td>0.362200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19040</td>\n",
       "      <td>0.366400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19045</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19050</td>\n",
       "      <td>0.367500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19055</td>\n",
       "      <td>0.368800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19060</td>\n",
       "      <td>0.369700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19065</td>\n",
       "      <td>0.366400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19070</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19075</td>\n",
       "      <td>0.366000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19080</td>\n",
       "      <td>0.369700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19085</td>\n",
       "      <td>0.365900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19090</td>\n",
       "      <td>0.368500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19095</td>\n",
       "      <td>0.369300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19100</td>\n",
       "      <td>0.367500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19105</td>\n",
       "      <td>0.368900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19110</td>\n",
       "      <td>0.367500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19115</td>\n",
       "      <td>0.369700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19120</td>\n",
       "      <td>0.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19125</td>\n",
       "      <td>0.367200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19130</td>\n",
       "      <td>0.370400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19135</td>\n",
       "      <td>0.368800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19140</td>\n",
       "      <td>0.370600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19145</td>\n",
       "      <td>0.367200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19150</td>\n",
       "      <td>0.370200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19155</td>\n",
       "      <td>0.372800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19160</td>\n",
       "      <td>0.371800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19165</td>\n",
       "      <td>0.373200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19170</td>\n",
       "      <td>0.373100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19175</td>\n",
       "      <td>0.371400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19180</td>\n",
       "      <td>0.372100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19185</td>\n",
       "      <td>0.371500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19190</td>\n",
       "      <td>0.374500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19195</td>\n",
       "      <td>0.371900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19200</td>\n",
       "      <td>0.370600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19205</td>\n",
       "      <td>0.373300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19210</td>\n",
       "      <td>0.371700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19215</td>\n",
       "      <td>0.371600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19220</td>\n",
       "      <td>0.373400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19225</td>\n",
       "      <td>0.371900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19230</td>\n",
       "      <td>0.373400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19235</td>\n",
       "      <td>0.372700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19240</td>\n",
       "      <td>0.372400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19245</td>\n",
       "      <td>0.377000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19250</td>\n",
       "      <td>0.374000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19255</td>\n",
       "      <td>0.371400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19260</td>\n",
       "      <td>0.373000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19265</td>\n",
       "      <td>0.371800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19270</td>\n",
       "      <td>0.372000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19275</td>\n",
       "      <td>0.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19280</td>\n",
       "      <td>0.375100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19285</td>\n",
       "      <td>0.377200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19290</td>\n",
       "      <td>0.369900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19295</td>\n",
       "      <td>0.375900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19300</td>\n",
       "      <td>0.370400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19305</td>\n",
       "      <td>0.373300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19310</td>\n",
       "      <td>0.372000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19315</td>\n",
       "      <td>0.354700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19320</td>\n",
       "      <td>0.354300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19325</td>\n",
       "      <td>0.356300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19330</td>\n",
       "      <td>0.356700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19335</td>\n",
       "      <td>0.354400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19340</td>\n",
       "      <td>0.351500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19345</td>\n",
       "      <td>0.353400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19350</td>\n",
       "      <td>0.354200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19355</td>\n",
       "      <td>0.356500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19360</td>\n",
       "      <td>0.358000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19365</td>\n",
       "      <td>0.358800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19370</td>\n",
       "      <td>0.358100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19375</td>\n",
       "      <td>0.358000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19380</td>\n",
       "      <td>0.356100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19385</td>\n",
       "      <td>0.359100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19390</td>\n",
       "      <td>0.358300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19395</td>\n",
       "      <td>0.357000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19400</td>\n",
       "      <td>0.360900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19405</td>\n",
       "      <td>0.358600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19410</td>\n",
       "      <td>0.359700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19415</td>\n",
       "      <td>0.358700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19420</td>\n",
       "      <td>0.362500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19425</td>\n",
       "      <td>0.360300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19430</td>\n",
       "      <td>0.360300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19435</td>\n",
       "      <td>0.358900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19440</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19445</td>\n",
       "      <td>0.361100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19450</td>\n",
       "      <td>0.359200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19455</td>\n",
       "      <td>0.363800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19460</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19465</td>\n",
       "      <td>0.363600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19470</td>\n",
       "      <td>0.364100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19475</td>\n",
       "      <td>0.364300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19480</td>\n",
       "      <td>0.363000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19485</td>\n",
       "      <td>0.366600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19490</td>\n",
       "      <td>0.364500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19495</td>\n",
       "      <td>0.363500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19500</td>\n",
       "      <td>0.367700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19505</td>\n",
       "      <td>0.364200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19510</td>\n",
       "      <td>0.366200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19515</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19520</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19525</td>\n",
       "      <td>0.366300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19530</td>\n",
       "      <td>0.368600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19535</td>\n",
       "      <td>0.364600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19540</td>\n",
       "      <td>0.364100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19545</td>\n",
       "      <td>0.364200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19550</td>\n",
       "      <td>0.365100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19555</td>\n",
       "      <td>0.365000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19560</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19565</td>\n",
       "      <td>0.367500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19570</td>\n",
       "      <td>0.372200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19575</td>\n",
       "      <td>0.368500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19580</td>\n",
       "      <td>0.368500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19585</td>\n",
       "      <td>0.367600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19590</td>\n",
       "      <td>0.366800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19595</td>\n",
       "      <td>0.367600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19600</td>\n",
       "      <td>0.365800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19605</td>\n",
       "      <td>0.371700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19610</td>\n",
       "      <td>0.371300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19615</td>\n",
       "      <td>0.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19620</td>\n",
       "      <td>0.367100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19625</td>\n",
       "      <td>0.369500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19630</td>\n",
       "      <td>0.369900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19635</td>\n",
       "      <td>0.368300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19640</td>\n",
       "      <td>0.368400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19645</td>\n",
       "      <td>0.368900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19650</td>\n",
       "      <td>0.371900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19655</td>\n",
       "      <td>0.373900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19660</td>\n",
       "      <td>0.370100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19665</td>\n",
       "      <td>0.368300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19670</td>\n",
       "      <td>0.370400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19675</td>\n",
       "      <td>0.371600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19680</td>\n",
       "      <td>0.370800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19685</td>\n",
       "      <td>0.370200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19690</td>\n",
       "      <td>0.369500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19695</td>\n",
       "      <td>0.369600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19700</td>\n",
       "      <td>0.370600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19705</td>\n",
       "      <td>0.373700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19710</td>\n",
       "      <td>0.370700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19715</td>\n",
       "      <td>0.371400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19720</td>\n",
       "      <td>0.369900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19725</td>\n",
       "      <td>0.369600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19730</td>\n",
       "      <td>0.371700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19735</td>\n",
       "      <td>0.371600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19740</td>\n",
       "      <td>0.367600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19745</td>\n",
       "      <td>0.371700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19750</td>\n",
       "      <td>0.370500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19755</td>\n",
       "      <td>0.372600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19760</td>\n",
       "      <td>0.374400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19765</td>\n",
       "      <td>0.370900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19770</td>\n",
       "      <td>0.374500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19775</td>\n",
       "      <td>0.373900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19780</td>\n",
       "      <td>0.368600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19785</td>\n",
       "      <td>0.360700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19790</td>\n",
       "      <td>0.350600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19795</td>\n",
       "      <td>0.354700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19800</td>\n",
       "      <td>0.353100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19805</td>\n",
       "      <td>0.354400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19810</td>\n",
       "      <td>0.352300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19815</td>\n",
       "      <td>0.353400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19820</td>\n",
       "      <td>0.357400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19825</td>\n",
       "      <td>0.356100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19830</td>\n",
       "      <td>0.354700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19835</td>\n",
       "      <td>0.354800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19840</td>\n",
       "      <td>0.356000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19845</td>\n",
       "      <td>0.357400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19850</td>\n",
       "      <td>0.354400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19855</td>\n",
       "      <td>0.356900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19860</td>\n",
       "      <td>0.356800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19865</td>\n",
       "      <td>0.356600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19870</td>\n",
       "      <td>0.356600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19875</td>\n",
       "      <td>0.361500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19880</td>\n",
       "      <td>0.357600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19885</td>\n",
       "      <td>0.358400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19890</td>\n",
       "      <td>0.358700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19895</td>\n",
       "      <td>0.362500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19900</td>\n",
       "      <td>0.361100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19905</td>\n",
       "      <td>0.359200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19910</td>\n",
       "      <td>0.358600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19915</td>\n",
       "      <td>0.360400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19920</td>\n",
       "      <td>0.364400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19925</td>\n",
       "      <td>0.363200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19930</td>\n",
       "      <td>0.360000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19935</td>\n",
       "      <td>0.360300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19940</td>\n",
       "      <td>0.359100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19945</td>\n",
       "      <td>0.361400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19950</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19955</td>\n",
       "      <td>0.362100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19960</td>\n",
       "      <td>0.361600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19965</td>\n",
       "      <td>0.360400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19970</td>\n",
       "      <td>0.361500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19975</td>\n",
       "      <td>0.362700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19980</td>\n",
       "      <td>0.360800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19985</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19990</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19995</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20000</td>\n",
       "      <td>0.362100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20005</td>\n",
       "      <td>0.368100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20010</td>\n",
       "      <td>0.364700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20015</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20020</td>\n",
       "      <td>0.365300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20025</td>\n",
       "      <td>0.366600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20030</td>\n",
       "      <td>0.366600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20035</td>\n",
       "      <td>0.365900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20040</td>\n",
       "      <td>0.365000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20045</td>\n",
       "      <td>0.369400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20050</td>\n",
       "      <td>0.365500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20055</td>\n",
       "      <td>0.364800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20060</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20065</td>\n",
       "      <td>0.364700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20070</td>\n",
       "      <td>0.364700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20075</td>\n",
       "      <td>0.367700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20080</td>\n",
       "      <td>0.364700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20085</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20090</td>\n",
       "      <td>0.366600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20095</td>\n",
       "      <td>0.369700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20100</td>\n",
       "      <td>0.368900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20105</td>\n",
       "      <td>0.366500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20110</td>\n",
       "      <td>0.366200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20115</td>\n",
       "      <td>0.366800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20120</td>\n",
       "      <td>0.367100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20125</td>\n",
       "      <td>0.365600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20130</td>\n",
       "      <td>0.367000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20135</td>\n",
       "      <td>0.367400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20140</td>\n",
       "      <td>0.369400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20145</td>\n",
       "      <td>0.366500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20150</td>\n",
       "      <td>0.368500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20155</td>\n",
       "      <td>0.370900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20160</td>\n",
       "      <td>0.368100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20165</td>\n",
       "      <td>0.370500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20170</td>\n",
       "      <td>0.366200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20175</td>\n",
       "      <td>0.367700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20180</td>\n",
       "      <td>0.371000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20185</td>\n",
       "      <td>0.371600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20190</td>\n",
       "      <td>0.368600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20195</td>\n",
       "      <td>0.370200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20200</td>\n",
       "      <td>0.368900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20205</td>\n",
       "      <td>0.369000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20210</td>\n",
       "      <td>0.366200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20215</td>\n",
       "      <td>0.369300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20220</td>\n",
       "      <td>0.369300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20225</td>\n",
       "      <td>0.370800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20230</td>\n",
       "      <td>0.369500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20235</td>\n",
       "      <td>0.370600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20240</td>\n",
       "      <td>0.370200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20245</td>\n",
       "      <td>0.369400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20250</td>\n",
       "      <td>0.372200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20255</td>\n",
       "      <td>0.362000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20260</td>\n",
       "      <td>0.353500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20265</td>\n",
       "      <td>0.352700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20270</td>\n",
       "      <td>0.352700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20275</td>\n",
       "      <td>0.352100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20280</td>\n",
       "      <td>0.350700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20285</td>\n",
       "      <td>0.352400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20290</td>\n",
       "      <td>0.350100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20295</td>\n",
       "      <td>0.353300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20300</td>\n",
       "      <td>0.355100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20305</td>\n",
       "      <td>0.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20310</td>\n",
       "      <td>0.354100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20315</td>\n",
       "      <td>0.357800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20320</td>\n",
       "      <td>0.355000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20325</td>\n",
       "      <td>0.355200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20330</td>\n",
       "      <td>0.353300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20335</td>\n",
       "      <td>0.356300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20340</td>\n",
       "      <td>0.356600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20345</td>\n",
       "      <td>0.358600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20350</td>\n",
       "      <td>0.357400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20355</td>\n",
       "      <td>0.360100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20360</td>\n",
       "      <td>0.359000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20365</td>\n",
       "      <td>0.356800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20370</td>\n",
       "      <td>0.358600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20375</td>\n",
       "      <td>0.360000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20380</td>\n",
       "      <td>0.359200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20385</td>\n",
       "      <td>0.359200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20390</td>\n",
       "      <td>0.359700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20395</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20400</td>\n",
       "      <td>0.359900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20405</td>\n",
       "      <td>0.359400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20410</td>\n",
       "      <td>0.358700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20415</td>\n",
       "      <td>0.361400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20420</td>\n",
       "      <td>0.360300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20425</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20430</td>\n",
       "      <td>0.361400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20435</td>\n",
       "      <td>0.360500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20440</td>\n",
       "      <td>0.362000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20445</td>\n",
       "      <td>0.360600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20450</td>\n",
       "      <td>0.361300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20455</td>\n",
       "      <td>0.359600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20460</td>\n",
       "      <td>0.359700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20465</td>\n",
       "      <td>0.359900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20470</td>\n",
       "      <td>0.359300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20475</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20480</td>\n",
       "      <td>0.358600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20485</td>\n",
       "      <td>0.360200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20490</td>\n",
       "      <td>0.366300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20495</td>\n",
       "      <td>0.360600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20500</td>\n",
       "      <td>0.364800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20505</td>\n",
       "      <td>0.361600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20510</td>\n",
       "      <td>0.365100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20515</td>\n",
       "      <td>0.367500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20520</td>\n",
       "      <td>0.363800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20525</td>\n",
       "      <td>0.363800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20530</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20535</td>\n",
       "      <td>0.364300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20540</td>\n",
       "      <td>0.365900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20545</td>\n",
       "      <td>0.363100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20550</td>\n",
       "      <td>0.363800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20555</td>\n",
       "      <td>0.364800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20560</td>\n",
       "      <td>0.366400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20565</td>\n",
       "      <td>0.366100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20570</td>\n",
       "      <td>0.364700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20575</td>\n",
       "      <td>0.363700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20580</td>\n",
       "      <td>0.367300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20585</td>\n",
       "      <td>0.364300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20590</td>\n",
       "      <td>0.364700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20595</td>\n",
       "      <td>0.363200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20600</td>\n",
       "      <td>0.365000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20605</td>\n",
       "      <td>0.366500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20610</td>\n",
       "      <td>0.368000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20615</td>\n",
       "      <td>0.368400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20620</td>\n",
       "      <td>0.362600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20625</td>\n",
       "      <td>0.364400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20630</td>\n",
       "      <td>0.364700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20635</td>\n",
       "      <td>0.368000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20640</td>\n",
       "      <td>0.368300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20645</td>\n",
       "      <td>0.365100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20650</td>\n",
       "      <td>0.366000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20655</td>\n",
       "      <td>0.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20660</td>\n",
       "      <td>0.366100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20665</td>\n",
       "      <td>0.365300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20670</td>\n",
       "      <td>0.369200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20675</td>\n",
       "      <td>0.366200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20680</td>\n",
       "      <td>0.367500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20685</td>\n",
       "      <td>0.364600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20690</td>\n",
       "      <td>0.369700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20695</td>\n",
       "      <td>0.366800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20700</td>\n",
       "      <td>0.366900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20705</td>\n",
       "      <td>0.367900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20710</td>\n",
       "      <td>0.369000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20715</td>\n",
       "      <td>0.371300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20720</td>\n",
       "      <td>0.368400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20725</td>\n",
       "      <td>0.367500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20730</td>\n",
       "      <td>0.349700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20735</td>\n",
       "      <td>0.353100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20740</td>\n",
       "      <td>0.349500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20745</td>\n",
       "      <td>0.350500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20750</td>\n",
       "      <td>0.351400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20755</td>\n",
       "      <td>0.351000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20760</td>\n",
       "      <td>0.350300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20765</td>\n",
       "      <td>0.353200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20770</td>\n",
       "      <td>0.351700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20775</td>\n",
       "      <td>0.353300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20780</td>\n",
       "      <td>0.349100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20785</td>\n",
       "      <td>0.352500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20790</td>\n",
       "      <td>0.353300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20795</td>\n",
       "      <td>0.354300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20800</td>\n",
       "      <td>0.354700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20805</td>\n",
       "      <td>0.353100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20810</td>\n",
       "      <td>0.354500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20815</td>\n",
       "      <td>0.357100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20820</td>\n",
       "      <td>0.356900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20825</td>\n",
       "      <td>0.354400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20830</td>\n",
       "      <td>0.355700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20835</td>\n",
       "      <td>0.355800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20840</td>\n",
       "      <td>0.355800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20845</td>\n",
       "      <td>0.357300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20850</td>\n",
       "      <td>0.357900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20855</td>\n",
       "      <td>0.355600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20860</td>\n",
       "      <td>0.359300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20865</td>\n",
       "      <td>0.359800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20870</td>\n",
       "      <td>0.359100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20875</td>\n",
       "      <td>0.357400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20880</td>\n",
       "      <td>0.359600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20885</td>\n",
       "      <td>0.357800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20890</td>\n",
       "      <td>0.357400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20895</td>\n",
       "      <td>0.358100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20900</td>\n",
       "      <td>0.358900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20905</td>\n",
       "      <td>0.358600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20910</td>\n",
       "      <td>0.356800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20915</td>\n",
       "      <td>0.359600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20920</td>\n",
       "      <td>0.361800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20925</td>\n",
       "      <td>0.359500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20930</td>\n",
       "      <td>0.358200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20935</td>\n",
       "      <td>0.361600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20940</td>\n",
       "      <td>0.360500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20945</td>\n",
       "      <td>0.359900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20950</td>\n",
       "      <td>0.362000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20955</td>\n",
       "      <td>0.359600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20960</td>\n",
       "      <td>0.361000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20965</td>\n",
       "      <td>0.361500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20970</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20975</td>\n",
       "      <td>0.362500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20980</td>\n",
       "      <td>0.362600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20985</td>\n",
       "      <td>0.363100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20990</td>\n",
       "      <td>0.360200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20995</td>\n",
       "      <td>0.360500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21000</td>\n",
       "      <td>0.364300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21005</td>\n",
       "      <td>0.361700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21010</td>\n",
       "      <td>0.362600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21015</td>\n",
       "      <td>0.360900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21020</td>\n",
       "      <td>0.363700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21025</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21030</td>\n",
       "      <td>0.361700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21035</td>\n",
       "      <td>0.364500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21040</td>\n",
       "      <td>0.363600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21045</td>\n",
       "      <td>0.365000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21050</td>\n",
       "      <td>0.362800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21055</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21060</td>\n",
       "      <td>0.365900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21065</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21070</td>\n",
       "      <td>0.365200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21075</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21080</td>\n",
       "      <td>0.364800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21085</td>\n",
       "      <td>0.362700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21090</td>\n",
       "      <td>0.363800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21095</td>\n",
       "      <td>0.361800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21100</td>\n",
       "      <td>0.367400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21105</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21110</td>\n",
       "      <td>0.368000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21115</td>\n",
       "      <td>0.362300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21120</td>\n",
       "      <td>0.364700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21125</td>\n",
       "      <td>0.363500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21130</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21135</td>\n",
       "      <td>0.365600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21140</td>\n",
       "      <td>0.366700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21145</td>\n",
       "      <td>0.366900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21150</td>\n",
       "      <td>0.367300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21155</td>\n",
       "      <td>0.367200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21160</td>\n",
       "      <td>0.368900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21165</td>\n",
       "      <td>0.365800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21170</td>\n",
       "      <td>0.366900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21175</td>\n",
       "      <td>0.366600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21180</td>\n",
       "      <td>0.368000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21185</td>\n",
       "      <td>0.368800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21190</td>\n",
       "      <td>0.367200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21195</td>\n",
       "      <td>0.363100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21200</td>\n",
       "      <td>0.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21205</td>\n",
       "      <td>0.348900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21210</td>\n",
       "      <td>0.347100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21215</td>\n",
       "      <td>0.349200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21220</td>\n",
       "      <td>0.349500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21225</td>\n",
       "      <td>0.348300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21230</td>\n",
       "      <td>0.349400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21235</td>\n",
       "      <td>0.349100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21240</td>\n",
       "      <td>0.348500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21245</td>\n",
       "      <td>0.349300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21250</td>\n",
       "      <td>0.350300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21255</td>\n",
       "      <td>0.351200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21260</td>\n",
       "      <td>0.352000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21265</td>\n",
       "      <td>0.352700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21270</td>\n",
       "      <td>0.353100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21275</td>\n",
       "      <td>0.355100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21280</td>\n",
       "      <td>0.352200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21285</td>\n",
       "      <td>0.352500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21290</td>\n",
       "      <td>0.357000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21295</td>\n",
       "      <td>0.354700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21300</td>\n",
       "      <td>0.356600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21305</td>\n",
       "      <td>0.355600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21310</td>\n",
       "      <td>0.356500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21315</td>\n",
       "      <td>0.352900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21320</td>\n",
       "      <td>0.355600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21325</td>\n",
       "      <td>0.356200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21330</td>\n",
       "      <td>0.353100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21335</td>\n",
       "      <td>0.357900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21340</td>\n",
       "      <td>0.355300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21345</td>\n",
       "      <td>0.356200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21350</td>\n",
       "      <td>0.358200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21355</td>\n",
       "      <td>0.356300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21360</td>\n",
       "      <td>0.357500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21365</td>\n",
       "      <td>0.355900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21370</td>\n",
       "      <td>0.356700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21375</td>\n",
       "      <td>0.359600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21380</td>\n",
       "      <td>0.358300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21385</td>\n",
       "      <td>0.360200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21390</td>\n",
       "      <td>0.357200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21395</td>\n",
       "      <td>0.358400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21400</td>\n",
       "      <td>0.359200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21405</td>\n",
       "      <td>0.360600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21410</td>\n",
       "      <td>0.359300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21415</td>\n",
       "      <td>0.358900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21420</td>\n",
       "      <td>0.360800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21425</td>\n",
       "      <td>0.358900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21430</td>\n",
       "      <td>0.361700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21435</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21440</td>\n",
       "      <td>0.361000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21445</td>\n",
       "      <td>0.359200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21450</td>\n",
       "      <td>0.361500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21455</td>\n",
       "      <td>0.360100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21460</td>\n",
       "      <td>0.361700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21465</td>\n",
       "      <td>0.361400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21470</td>\n",
       "      <td>0.361800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21475</td>\n",
       "      <td>0.361100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21480</td>\n",
       "      <td>0.363400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21485</td>\n",
       "      <td>0.360300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21490</td>\n",
       "      <td>0.358700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21495</td>\n",
       "      <td>0.360300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21500</td>\n",
       "      <td>0.360200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21505</td>\n",
       "      <td>0.362400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21510</td>\n",
       "      <td>0.361400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21515</td>\n",
       "      <td>0.361500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21520</td>\n",
       "      <td>0.362700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21525</td>\n",
       "      <td>0.361600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21530</td>\n",
       "      <td>0.361800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21535</td>\n",
       "      <td>0.362300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21540</td>\n",
       "      <td>0.361400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21545</td>\n",
       "      <td>0.362000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21550</td>\n",
       "      <td>0.362600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21555</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21560</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21565</td>\n",
       "      <td>0.361400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21570</td>\n",
       "      <td>0.363300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21575</td>\n",
       "      <td>0.366500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21580</td>\n",
       "      <td>0.363500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21585</td>\n",
       "      <td>0.364200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21590</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21595</td>\n",
       "      <td>0.364800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21600</td>\n",
       "      <td>0.363400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21605</td>\n",
       "      <td>0.364500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21610</td>\n",
       "      <td>0.364800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21615</td>\n",
       "      <td>0.363300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21620</td>\n",
       "      <td>0.366200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21625</td>\n",
       "      <td>0.363500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21630</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21635</td>\n",
       "      <td>0.363600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21640</td>\n",
       "      <td>0.363800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21645</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21650</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21655</td>\n",
       "      <td>0.366000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21660</td>\n",
       "      <td>0.364900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21665</td>\n",
       "      <td>0.362700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21670</td>\n",
       "      <td>0.350800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21675</td>\n",
       "      <td>0.346500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21680</td>\n",
       "      <td>0.347700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21685</td>\n",
       "      <td>0.345100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21690</td>\n",
       "      <td>0.349000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21695</td>\n",
       "      <td>0.347400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21700</td>\n",
       "      <td>0.346900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21705</td>\n",
       "      <td>0.347400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21710</td>\n",
       "      <td>0.350300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21715</td>\n",
       "      <td>0.349900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21720</td>\n",
       "      <td>0.348700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21725</td>\n",
       "      <td>0.351000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21730</td>\n",
       "      <td>0.352000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21735</td>\n",
       "      <td>0.350800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21740</td>\n",
       "      <td>0.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21745</td>\n",
       "      <td>0.352300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21750</td>\n",
       "      <td>0.353100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21755</td>\n",
       "      <td>0.350600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21760</td>\n",
       "      <td>0.350600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21765</td>\n",
       "      <td>0.354300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21770</td>\n",
       "      <td>0.352200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21775</td>\n",
       "      <td>0.351600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21780</td>\n",
       "      <td>0.354000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21785</td>\n",
       "      <td>0.356000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21790</td>\n",
       "      <td>0.353200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21795</td>\n",
       "      <td>0.354400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21800</td>\n",
       "      <td>0.355300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21805</td>\n",
       "      <td>0.354400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21810</td>\n",
       "      <td>0.352600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21815</td>\n",
       "      <td>0.354900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21820</td>\n",
       "      <td>0.355600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21825</td>\n",
       "      <td>0.357200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21830</td>\n",
       "      <td>0.355800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21835</td>\n",
       "      <td>0.357500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21840</td>\n",
       "      <td>0.358000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21845</td>\n",
       "      <td>0.359200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21850</td>\n",
       "      <td>0.355500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21855</td>\n",
       "      <td>0.355500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21860</td>\n",
       "      <td>0.357400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21865</td>\n",
       "      <td>0.361500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21870</td>\n",
       "      <td>0.356500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21875</td>\n",
       "      <td>0.357800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21880</td>\n",
       "      <td>0.358500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21885</td>\n",
       "      <td>0.357900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21890</td>\n",
       "      <td>0.358700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21895</td>\n",
       "      <td>0.357600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21900</td>\n",
       "      <td>0.358400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21905</td>\n",
       "      <td>0.357300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21910</td>\n",
       "      <td>0.359400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21915</td>\n",
       "      <td>0.360400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21920</td>\n",
       "      <td>0.358400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21925</td>\n",
       "      <td>0.356800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21930</td>\n",
       "      <td>0.357800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21935</td>\n",
       "      <td>0.361000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21940</td>\n",
       "      <td>0.358100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21945</td>\n",
       "      <td>0.358000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21950</td>\n",
       "      <td>0.358900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21955</td>\n",
       "      <td>0.357200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21960</td>\n",
       "      <td>0.359800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21965</td>\n",
       "      <td>0.360900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21970</td>\n",
       "      <td>0.358300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21975</td>\n",
       "      <td>0.358500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21980</td>\n",
       "      <td>0.360200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21985</td>\n",
       "      <td>0.362100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21990</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21995</td>\n",
       "      <td>0.360700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22000</td>\n",
       "      <td>0.359200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22005</td>\n",
       "      <td>0.363200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22010</td>\n",
       "      <td>0.364100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22015</td>\n",
       "      <td>0.360200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22020</td>\n",
       "      <td>0.362300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22025</td>\n",
       "      <td>0.361600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22030</td>\n",
       "      <td>0.361300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22035</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22040</td>\n",
       "      <td>0.360700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22045</td>\n",
       "      <td>0.364300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22050</td>\n",
       "      <td>0.363200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22055</td>\n",
       "      <td>0.361000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22060</td>\n",
       "      <td>0.364200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22065</td>\n",
       "      <td>0.365000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22070</td>\n",
       "      <td>0.364800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22075</td>\n",
       "      <td>0.363600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22080</td>\n",
       "      <td>0.359400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22085</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22090</td>\n",
       "      <td>0.364400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22095</td>\n",
       "      <td>0.363500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22100</td>\n",
       "      <td>0.365100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22105</td>\n",
       "      <td>0.363800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22110</td>\n",
       "      <td>0.361600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22115</td>\n",
       "      <td>0.364000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22120</td>\n",
       "      <td>0.363000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22125</td>\n",
       "      <td>0.362900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22130</td>\n",
       "      <td>0.365400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22135</td>\n",
       "      <td>0.363600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22140</td>\n",
       "      <td>0.353100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22145</td>\n",
       "      <td>0.346600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22150</td>\n",
       "      <td>0.347800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22155</td>\n",
       "      <td>0.344500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22160</td>\n",
       "      <td>0.345100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22165</td>\n",
       "      <td>0.344300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22170</td>\n",
       "      <td>0.344000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22175</td>\n",
       "      <td>0.348200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22180</td>\n",
       "      <td>0.349100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22185</td>\n",
       "      <td>0.347900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22190</td>\n",
       "      <td>0.348300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22195</td>\n",
       "      <td>0.347000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22200</td>\n",
       "      <td>0.350400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22205</td>\n",
       "      <td>0.350400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22210</td>\n",
       "      <td>0.348200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22215</td>\n",
       "      <td>0.351600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22220</td>\n",
       "      <td>0.352000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22225</td>\n",
       "      <td>0.351600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22230</td>\n",
       "      <td>0.351700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22235</td>\n",
       "      <td>0.353900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22240</td>\n",
       "      <td>0.350200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22245</td>\n",
       "      <td>0.352700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22250</td>\n",
       "      <td>0.349700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22255</td>\n",
       "      <td>0.354400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22260</td>\n",
       "      <td>0.354300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22265</td>\n",
       "      <td>0.353500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22270</td>\n",
       "      <td>0.353700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22275</td>\n",
       "      <td>0.352900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22280</td>\n",
       "      <td>0.353500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22285</td>\n",
       "      <td>0.353600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22290</td>\n",
       "      <td>0.351700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22295</td>\n",
       "      <td>0.357000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22300</td>\n",
       "      <td>0.354600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22305</td>\n",
       "      <td>0.355600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22310</td>\n",
       "      <td>0.357300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22315</td>\n",
       "      <td>0.355300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22320</td>\n",
       "      <td>0.355600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22325</td>\n",
       "      <td>0.354800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22330</td>\n",
       "      <td>0.356400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22335</td>\n",
       "      <td>0.356600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22340</td>\n",
       "      <td>0.357900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22345</td>\n",
       "      <td>0.356300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22350</td>\n",
       "      <td>0.358400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22355</td>\n",
       "      <td>0.356000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22360</td>\n",
       "      <td>0.357900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22365</td>\n",
       "      <td>0.358900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22370</td>\n",
       "      <td>0.360000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22375</td>\n",
       "      <td>0.357100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22380</td>\n",
       "      <td>0.358800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22385</td>\n",
       "      <td>0.355800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22390</td>\n",
       "      <td>0.356800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22395</td>\n",
       "      <td>0.357700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22400</td>\n",
       "      <td>0.359500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22405</td>\n",
       "      <td>0.357500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22410</td>\n",
       "      <td>0.358700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22415</td>\n",
       "      <td>0.355300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22420</td>\n",
       "      <td>0.358800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22425</td>\n",
       "      <td>0.361000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22430</td>\n",
       "      <td>0.357700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22435</td>\n",
       "      <td>0.356800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22440</td>\n",
       "      <td>0.357400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22445</td>\n",
       "      <td>0.361500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22450</td>\n",
       "      <td>0.359700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22455</td>\n",
       "      <td>0.360400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22460</td>\n",
       "      <td>0.360400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22465</td>\n",
       "      <td>0.359500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22470</td>\n",
       "      <td>0.359700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22475</td>\n",
       "      <td>0.358300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22480</td>\n",
       "      <td>0.356600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22485</td>\n",
       "      <td>0.361700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22490</td>\n",
       "      <td>0.359100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22495</td>\n",
       "      <td>0.363800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22500</td>\n",
       "      <td>0.360000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22505</td>\n",
       "      <td>0.359300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22510</td>\n",
       "      <td>0.355600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22515</td>\n",
       "      <td>0.361800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22520</td>\n",
       "      <td>0.361200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22525</td>\n",
       "      <td>0.360800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22530</td>\n",
       "      <td>0.363200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22535</td>\n",
       "      <td>0.361300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22540</td>\n",
       "      <td>0.362300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22545</td>\n",
       "      <td>0.362100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22550</td>\n",
       "      <td>0.360500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22555</td>\n",
       "      <td>0.361400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22560</td>\n",
       "      <td>0.362700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22565</td>\n",
       "      <td>0.365100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22570</td>\n",
       "      <td>0.362400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><p>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n",
      "/home/wanga18/miniconda3/envs/llama/lib/python3.11/site-packages/bitsandbytes/autograd/_functions.py:322: UserWarning: MatMul8bitLt: inputs will be cast from torch.float32 to float16 during quantization\n",
      "  warnings.warn(f\"MatMul8bitLt: inputs will be cast from {A.dtype} to float16 during quantization\")\n"
     ]
    }
   ],
   "source": [
    "trainer.train()\n",
    "model.save_pretrained(OUTPUT_DIR)"
   ]
  }
 ],
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