Experiments_OptimalSplit.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xEzj8uvPd-Ro"
      },
      "outputs": [],
      "source": [
        "#!pip install qiskit-aqua\n",
        "#!pip install qiskit\n",
        "#!pip install qiskit_optimization"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nSsFExGWIuPs",
        "outputId": "59cb2579-e14b-408d-ff4e-808a67e64e00"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "#from google.colab import drive\n",
        "#drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "1OP1MVZOvjkj"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import time\n",
        "import math\n",
        "import itertools\n",
        "\n",
        "import networkx as nx\n",
        "%matplotlib inline\n",
        "import matplotlib.pyplot as plt\n",
        "from scipy.optimize import curve_fit\n",
        "\n",
        "from qiskit import Aer\n",
        "from qiskit_optimization.applications import Maxcut\n",
        "from qiskit.algorithms import QAOA, NumPyMinimumEigensolver\n",
        "from qiskit.utils import algorithm_globals, QuantumInstance\n",
        "from qiskit_optimization.algorithms import MinimumEigenOptimizer"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "\n",
        "def create_dir(path, log=False):\n",
        "    if not os.path.exists(path):\n",
        "        if log:\n",
        "            print('The directory', path, 'does not exist and will be created')\n",
        "        os.makedirs(path)\n",
        "    else:\n",
        "        if log:\n",
        "            print('The directory', path, ' already exists')"
      ],
      "metadata": {
        "id": "oaRIMcYJSBOS"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LTykNAYYllyk"
      },
      "source": [
        "### Brute force solution"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "oAIo2uT0lrIr"
      },
      "outputs": [],
      "source": [
        "def solve_brute_force(n_agents, induced_subgraph_game):\n",
        "  G=nx.Graph()\n",
        "  G.add_nodes_from(np.arange(0,n_agents,1))\n",
        "  elist = [tuple((int(x)-1 for x in key.split(',')))+tuple([induced_subgraph_game[key]*-1]) for key in induced_subgraph_game]\n",
        "  G.add_weighted_edges_from(elist)\n",
        "  w = [[G.get_edge_data(i,j,default = {'weight': 0})['weight']  for j in range(n_agents)] for i in range(n_agents)]\n",
        "\n",
        "  x = [int(t) for t in reversed(list(bin(0)[2:].zfill(n_agents)))]\n",
        "  cost = [[w[i][j]*x[i]*(1-x[j]) for j in range(n_agents)] for i in range(n_agents)]\n",
        "  best_cost_brute = sum([sum(i) for i in cost])\n",
        "  xbest_brute = x\n",
        "\n",
        "  for b in range(1, 2**(n_agents-1)):\n",
        "    x = [int(t) for t in reversed(list(bin(b)[2:].zfill(n_agents)))]\n",
        "    cost = [[w[i][j]*x[i]*(1-x[j]) for j in range(n_agents)] for i in range(n_agents)]\n",
        "    cost = sum([sum(i) for i in cost])\n",
        "    if cost > best_cost_brute:\n",
        "      best_cost_brute = cost\n",
        "      xbest_brute = x\n",
        "  return np.array(xbest_brute), -best_cost_brute"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5rS7X7CPmCRJ"
      },
      "source": [
        "### Qiskit exact solution using NumpyEigensolver (Cassical)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "peLxbN46UR9w"
      },
      "outputs": [],
      "source": [
        "def solve_qiskit_classical_eigensolver(n_agents, induced_subgraph_game):\n",
        "  G=nx.Graph()\n",
        "  G.add_nodes_from(np.arange(0,n_agents,1))\n",
        "  elist = [tuple((int(x)-1 for x in key.split(',')))+tuple([induced_subgraph_game[key]*-1]) for key in induced_subgraph_game]\n",
        "  G.add_weighted_edges_from(elist)\n",
        "  w = [[G.get_edge_data(i,j,default = {'weight': 0})['weight']  for j in range(n_agents)] for i in range(n_agents)]\n",
        "  w = np.array([np.array(row) for row in w])\n",
        "  max_cut = Maxcut(w)\n",
        "  qp = max_cut.to_quadratic_program()\n",
        "  qubitOp, offset = qp.to_ising()\n",
        "  exact = MinimumEigenOptimizer(NumPyMinimumEigensolver())\n",
        "  result = exact.solve(qp)\n",
        "  return result.x, -result.fval"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o8IlBhJMYykc"
      },
      "source": [
        "### Qiskit heuristic solution using QAOA"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "BmzRoWWKKeHJ"
      },
      "outputs": [],
      "source": [
        "def solve_qiskit_QAOA(n_agents, induced_subgraph_game, reps = 1, simulator = \"aer_simulator_statevector\", shots=1000, seed_simulator=123, seed_transpiler=123):\n",
        "  backend=Aer.get_backend(simulator)\n",
        "  qins = QuantumInstance(backend=backend, shots=shots, seed_simulator=seed_simulator, seed_transpiler=seed_transpiler)\n",
        "  G=nx.Graph()\n",
        "  G.add_nodes_from(np.arange(0,n_agents,1))\n",
        "  elist = [tuple((int(x)-1 for x in key.split(',')))+tuple([induced_subgraph_game[key]*-1]) for key in induced_subgraph_game]\n",
        "  G.add_weighted_edges_from(elist)\n",
        "  w = [[G.get_edge_data(i,j,default = {'weight': 0})['weight']  for j in range(n_agents)] for i in range(n_agents)]\n",
        "  w = np.array([np.array(row) for row in w])\n",
        "  max_cut = Maxcut(w)\n",
        "  qp = max_cut.to_quadratic_program()\n",
        "  qubitOp, offset = qp.to_ising()\n",
        "  algorithm_globals.random_seed = seed\n",
        "  heuristic = MinimumEigenOptimizer(min_eigen_solver=QAOA(reps=reps, quantum_instance=qins))\n",
        "  result = heuristic.solve(qp)\n",
        "  return result.x, -result.fval"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oN9RxO4CtMSw"
      },
      "source": [
        "### DWave solution using QAOA"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "--DAuwpRtMSy"
      },
      "outputs": [],
      "source": [
        "def solve_dwave(n, induced_subgraph_game, save_log=False, name_folder='distribution', n_samples= 4000, n_run=5, seed=None):\n",
        "    \n",
        "    for run in np.arange(1,n_run+1):\n",
        "        print('.',end='')\n",
        "        linear, quadratic = get_linear_quadratic_coeffs(n, induced_subgraph_game)\n",
        "        sample = dwave_solver(linear, quadratic, offset = 0.0, runs=n_samples)\n",
        "\n",
        "        if save_log:\n",
        "            if seed is not None:\n",
        "                path = os.path.join('QA_results', str(seed), name_folder, str(n), 'run_'+str(run))\n",
        "            else:\n",
        "                path = os.path.join('QA_results', name_folder, str(n), 'run_'+str(run))\n",
        "            create_dir(path)\n",
        "\n",
        "            try:\n",
        "                sample.to_pandas_dataframe().to_csv(os.path.join(path, 'solutions.csv'))\n",
        "                save_json(os.path.join(path, 'log'), sample.info)\n",
        "            except:\n",
        "                print(\"\\n **** Warning: results for\",  name_folder, \"with\", n, \"agents not saved*** \\n\")\n",
        "\n",
        "\n",
        "        dwave_annealer_solution=[]\n",
        "        for key, value in sample.first[0].items():\n",
        "            dwave_annealer_solution.append(value)\n",
        "\n",
        "        dwave_annealer_solution = np.array(dwave_annealer_solution)\n",
        "        dwave_annealer_value = from_columns_to_string(sample.to_pandas_dataframe()).loc[0,'energy']\n",
        "\n",
        "        dwave_annealer_tte = sample.info['timing']['qpu_sampling_time']/10**6\n",
        "    \n",
        "    return dwave_annealer_solution, dwave_annealer_value, dwave_annealer_tte"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w55WLMDYZBAc"
      },
      "source": [
        "### Get Linear and Quadratic coefficients"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "mLzuCImoWcme"
      },
      "outputs": [],
      "source": [
        "def get_linear_quadratic_coeffs(n_agents, induced_subgraph_game):\n",
        "  G=nx.Graph()\n",
        "  G.add_nodes_from(np.arange(0,n_agents,1))\n",
        "  elist = [tuple((int(x)-1 for x in key.split(',')))+tuple([induced_subgraph_game[key]*-1]) for key in induced_subgraph_game]\n",
        "  G.add_weighted_edges_from(elist)\n",
        "  w = [[G.get_edge_data(i,j,default = {'weight': 0})['weight']  for j in range(n_agents)] for i in range(n_agents)]\n",
        "  w = np.array([np.array(row) for row in w])\n",
        "  max_cut = Maxcut(w)\n",
        "  qp = max_cut.to_quadratic_program()\n",
        "  linear = qp.objective.linear.coefficients.toarray(order=None, out=None)\n",
        "  quadratic = qp.objective.quadratic.coefficients.toarray(order=None, out=None)\n",
        "  linear = {'x_'+str(idx):-round(value,2) for idx,value in enumerate(linear[0])}\n",
        "  quadratic = {('x_'+str(iy),'x_'+str(ix)):-quadratic[iy, ix] for iy, ix in np.ndindex(quadratic.shape) if iy<ix}\n",
        "  return linear, quadratic"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WFutoWB4ZLo-"
      },
      "source": [
        "### Get QUBO matrix"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "_yfSvp14Wcj3"
      },
      "outputs": [],
      "source": [
        "def get_qubo_matrix(linear, quadratic):\n",
        "  Q = np.zeros([len(linear),len(linear)])\n",
        "  #diagonal elements\n",
        "  for key,value in linear.items():\n",
        "    Q[int(key.split('_')[1]),int(key.split('_')[1])] = value\n",
        "  #non diagonal elements\n",
        "  for key,value in quadratic.items():\n",
        "    Q[int(key[0].split('_')[1]),int(key[1].split('_')[1])] = value\n",
        "    Q[int(key[1].split('_')[1]),int(key[0].split('_')[1])] = value\n",
        "  return Q"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LqDeyTp1a4Rz"
      },
      "source": [
        "### Run experiments with different combinations of distributions and problem sizes\n",
        "\n",
        "For comparitive analysis of Brute force, Eigensolver and QAOA solutions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "FTZBsgbamV4y"
      },
      "outputs": [],
      "source": [
        "import qiskit\n",
        "qiskit.utils.algorithm_globals.massive=True"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "4Wwn9Zr0sRpJ"
      },
      "outputs": [],
      "source": [
        "def normal(size=1, mu=0, sigma=5, low=-10, high=10):\n",
        "    values = np.random.normal(mu, sigma, size)\n",
        "    #values = np.interp(values, (values.min(), values.max()), (low, high))\n",
        "    return values\n",
        "\n",
        "#def uniform(size=1, low=-5, high=5):\n",
        "#    values = np.random.normal(low, high, size)\n",
        "#    #values = np.interp(values, (values.min(), values.max()), (low, high))\n",
        "#    return values\n",
        "\n",
        "def laplace(size=1, loc=0, scale=5, low=-10, high=10):\n",
        "    values = np.random.laplace(loc, scale, size)\n",
        "    #values = np.interp(values, (values.min(), values.max()), (low, high))\n",
        "    return values\n",
        "\n",
        "\n",
        "def generate_induced_subgraph_game(distribution, n_agents, **kwargs):\n",
        "    induced_subgraph_game = {}\n",
        "    keys = list(itertools.combinations(range(1,n_agents+1), 2))\n",
        "    totalinteractions = len(keys)\n",
        "    values = distribution(totalinteractions, **kwargs)\n",
        "    for i,key in enumerate(keys):\n",
        "        induced_subgraph_game[','.join(map(str,key))] = round(values[i],2)\n",
        "    return induced_subgraph_game"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "LO3gnk3VD9WM"
      },
      "outputs": [],
      "source": [
        "from datetime import datetime\n",
        "timestamp = datetime.now().strftime(\"%m%d%Y%H%M%S\")\n",
        "\n",
        "simulator = 'aer_simulator'\n",
        "\n",
        "table_contents = []\n",
        "\n",
        "distributions = [\n",
        "    normal,\n",
        "    laplace\n",
        "]\n",
        "\n",
        "n_agents = np.arange(18,19).tolist()\n",
        "\n",
        "seed = 123\n",
        "\n",
        "# If 'True', checks QAOA for p>1 also\n",
        "QAOA_p_increment_flag = False\n",
        "\n",
        "#report_filename = '/content/drive/MyDrive/Saarland/QAI/gate_based_GCS/split_report_' +  str(seed) + '_' + simulator + '.txt'\n",
        "report_filename = 'split_report_' +  str(seed) + '_' + simulator + '.txt'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EzZIGLuboLYQ",
        "outputId": "23587fc4-c6d5-4a6b-b75d-c080093f391d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Executing laplace distribution:\n",
            "n = 18 | p (QAOA reps) = 1\n",
            "\n",
            "\n"
          ]
        }
      ],
      "source": [
        "for distribution in distributions:\n",
        "  print(f'Executing {distribution.__name__} distribution:',end='\\n')\n",
        "  for n in n_agents:\n",
        "    print(f'n = {n} |',end=' ')\n",
        "    np.random.seed(seed=seed)\n",
        "    induced_subgraph_game = generate_induced_subgraph_game(distribution,n)\n",
        "\n",
        "    start_time = time.time()\n",
        "    #print(\" - Running Brute Force\", end=\"\")\n",
        "    bruteforce_solution, bruteforce_value = solve_brute_force(n, induced_subgraph_game) # np.repeat(0,n), 0.0\n",
        "    bruteforce_tte = (time.time() - start_time)\n",
        "    #print(' (', time.strftime('%H:%M:%S', time.gmtime(bruteforce_tte)), ')', end = \"\")\n",
        "\n",
        "    start_time = time.time()\n",
        "    qiskit_eigensolver_solution, qiskit_eigensolver_value = solve_qiskit_classical_eigensolver(n, induced_subgraph_game) # np.repeat(0,n), 0.0\n",
        "    qiskit_eigensolver_tte = (time.time() - start_time)\n",
        "    qiskit_eigensolver_correctness = ((bruteforce_solution==qiskit_eigensolver_solution).all() or (bruteforce_solution==(1-qiskit_eigensolver_solution)).all())\n",
        "\n",
        "    reps = 0\n",
        "    qiskit_qaoa_correctness = False\n",
        "    while(not qiskit_qaoa_correctness and (QAOA_p_increment_flag or not reps)):\n",
        "      reps = reps+1\n",
        "      start_time = time.time()\n",
        "      print('p (QAOA reps) =',reps)\n",
        "      qiskit_qaoa_solution, qiskit_qaoa_value = solve_qiskit_QAOA(n, induced_subgraph_game, reps, simulator = simulator)  # np.repeat(0,n), 0.0\n",
        "      qiskit_qaoa_tte = (time.time() - start_time)\n",
        "      qiskit_qaoa_correctness = ((bruteforce_solution==qiskit_qaoa_solution).all() or (bruteforce_solution==(1-qiskit_qaoa_solution)).all())\n",
        "      row = []\n",
        "      row.append(distribution.__name__)\n",
        "      row.append(n)\n",
        "      row.append(''.join(map(str,map(int,bruteforce_solution))))\n",
        "      row.append(bruteforce_value)\n",
        "      row.append(bruteforce_tte)\n",
        "      row.append(''.join(map(str,map(int,qiskit_eigensolver_solution))))\n",
        "      row.append(qiskit_eigensolver_value)\n",
        "      row.append(qiskit_eigensolver_tte)\n",
        "      row.append(qiskit_eigensolver_correctness)\n",
        "      row.append(''.join(map(str,map(int,qiskit_qaoa_solution))))\n",
        "      row.append(qiskit_qaoa_value)\n",
        "      row.append(qiskit_qaoa_tte)\n",
        "      row.append(reps)\n",
        "      row.append(qiskit_qaoa_correctness)\n",
        "      report_file_obj = open(report_filename,'a+')\n",
        "      report_file_obj.write('__'.join(map(str,row))+'\\n')\n",
        "      report_file_obj.close()\n",
        "      table_contents.append(row)\n",
        "  print('\\n')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t4J_ckxhui9_"
      },
      "source": [
        "## Display results from generated report file"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "2RL1yz3JA4Sg",
        "outputId": "7f9bd4cc-81bf-4652-ba9a-92b2a979918b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/drive/MyDrive/Saarland/QAI/gate_based_GCS/split_report_123_aer_simulator.txt'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 45
        }
      ],
      "source": [
        "#report_filename = '/content/drive/MyDrive/Saarland/QAI/gate_based_GCS/split_report_' +  str(seed) + '_' + simulator + '.txt'\n",
        "report_filename = 'split_report_' +  str(seed) + '_' + simulator + '.txt'\n",
        "report_filename"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "id": "JMGbo_d_u53J"
      },
      "outputs": [],
      "source": [
        "report_file_obj = open(report_filename,'r')\n",
        "table_contents = [line.split('__') for line in report_file_obj.readlines()]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "1J50K7-DCTlb",
        "outputId": "8afdbd7c-52bc-4876-c4ce-3893ce4f486a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
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              "  border-left: 1px solid white;\n",
              "}\n",
              "#T_13bcf_ td.col5 {\n",
              "  border-left: 1px solid white;\n",
              "  background-color: #186A3B;\n",
              "}\n",
              "#T_13bcf_ th.col6 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col6 {\n",
              "  border-left: 1px solid black;\n",
              "  background-color: #784212;\n",
              "}\n",
              "#T_13bcf_ th.col7 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col7 {\n",
              "  border-left: 1px solid black;\n",
              "  background-color: #154360;\n",
              "}\n",
              "#T_13bcf_ th.col8 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col8 {\n",
              "  border-left: 1px solid black;\n",
              "  background-color: #693f3f;\n",
              "}\n",
              "#T_13bcf_ th.col9 {\n",
              "  border-left: 1px solid white;\n",
              "}\n",
              "#T_13bcf_ td.col9 {\n",
              "  border-left: 1px solid white;\n",
              "  background-color: #186A3B;\n",
              "}\n",
              "#T_13bcf_ th.col10 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col10 {\n",
              "  border-left: 1px solid black;\n",
              "  background-color: #784212;\n",
              "}\n",
              "#T_13bcf_ th.col11 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col11 {\n",
              "  border-left: 1px solid black;\n",
              "  background-color: #154360;\n",
              "}\n",
              "#T_13bcf_ th.col12 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col12 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ th.col13 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col13 {\n",
              "  border-left: 1px solid black;\n",
              "  background-color: #693f3f;\n",
              "}\n",
              "#T_13bcf_ th.col-1 {\n",
              "  border-left: 1px solid white;\n",
              "}\n",
              "#T_13bcf_ td.col-1 {\n",
              "  border-left: 1px solid white;\n",
              "  background-color: #186A3B;\n",
              "}\n",
              "#T_13bcf_ th.col-1 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col-1 {\n",
              "  border-left: 1px solid black;\n",
              "  background-color: #784212;\n",
              "}\n",
              "#T_13bcf_ th.col-1 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col-1 {\n",
              "  border-left: 1px solid black;\n",
              "  background-color: #154360;\n",
              "}\n",
              "#T_13bcf_ th.col-1 {\n",
              "  border-left: 1px solid black;\n",
              "}\n",
              "#T_13bcf_ td.col-1 {\n",
              "  border-left: 1px solid black;\n",
              "  background-color: #693f3f;\n",
              "}\n",
              "#T_13bcf_row4_col0, #T_13bcf_row4_col1, #T_13bcf_row4_col2, #T_13bcf_row4_col3, #T_13bcf_row4_col4, #T_13bcf_row4_col5, #T_13bcf_row4_col6, #T_13bcf_row4_col7, #T_13bcf_row4_col8, #T_13bcf_row4_col9, #T_13bcf_row4_col10, #T_13bcf_row4_col11, #T_13bcf_row4_col12, #T_13bcf_row4_col13, #T_13bcf_row11_col0, #T_13bcf_row11_col1, #T_13bcf_row11_col2, #T_13bcf_row11_col3, #T_13bcf_row11_col4, #T_13bcf_row11_col5, #T_13bcf_row11_col6, #T_13bcf_row11_col7, #T_13bcf_row11_col8, #T_13bcf_row11_col9, #T_13bcf_row11_col10, #T_13bcf_row11_col11, #T_13bcf_row11_col12, #T_13bcf_row11_col13, #T_13bcf_row12_col0, #T_13bcf_row12_col1, #T_13bcf_row12_col2, #T_13bcf_row12_col3, #T_13bcf_row12_col4, #T_13bcf_row12_col5, #T_13bcf_row12_col6, #T_13bcf_row12_col7, #T_13bcf_row12_col8, #T_13bcf_row12_col9, #T_13bcf_row12_col10, #T_13bcf_row12_col11, #T_13bcf_row12_col12, #T_13bcf_row12_col13, #T_13bcf_row13_col0, #T_13bcf_row13_col1, #T_13bcf_row13_col2, #T_13bcf_row13_col3, #T_13bcf_row13_col4, #T_13bcf_row13_col5, #T_13bcf_row13_col6, #T_13bcf_row13_col7, #T_13bcf_row13_col8, #T_13bcf_row13_col9, #T_13bcf_row13_col10, #T_13bcf_row13_col11, #T_13bcf_row13_col12, #T_13bcf_row13_col13, #T_13bcf_row16_col0, #T_13bcf_row16_col1, #T_13bcf_row16_col2, #T_13bcf_row16_col3, #T_13bcf_row16_col4, #T_13bcf_row16_col5, #T_13bcf_row16_col6, #T_13bcf_row16_col7, #T_13bcf_row16_col8, #T_13bcf_row16_col9, #T_13bcf_row16_col10, #T_13bcf_row16_col11, #T_13bcf_row16_col12, #T_13bcf_row16_col13, #T_13bcf_row17_col0, #T_13bcf_row17_col1, #T_13bcf_row17_col2, #T_13bcf_row17_col3, #T_13bcf_row17_col4, #T_13bcf_row17_col5, #T_13bcf_row17_col6, #T_13bcf_row17_col7, #T_13bcf_row17_col8, #T_13bcf_row17_col9, #T_13bcf_row17_col10, #T_13bcf_row17_col11, #T_13bcf_row17_col12, #T_13bcf_row17_col13, #T_13bcf_row19_col0, #T_13bcf_row19_col1, #T_13bcf_row19_col2, #T_13bcf_row19_col3, #T_13bcf_row19_col4, #T_13bcf_row19_col5, #T_13bcf_row19_col6, #T_13bcf_row19_col7, #T_13bcf_row19_col8, #T_13bcf_row19_col9, #T_13bcf_row19_col10, #T_13bcf_row19_col11, #T_13bcf_row19_col12, #T_13bcf_row19_col13, #T_13bcf_row20_col0, #T_13bcf_row20_col1, #T_13bcf_row20_col2, #T_13bcf_row20_col3, #T_13bcf_row20_col4, #T_13bcf_row20_col5, #T_13bcf_row20_col6, #T_13bcf_row20_col7, #T_13bcf_row20_col8, #T_13bcf_row20_col9, #T_13bcf_row20_col10, #T_13bcf_row20_col11, #T_13bcf_row20_col12, #T_13bcf_row20_col13, #T_13bcf_row21_col0, #T_13bcf_row21_col1, #T_13bcf_row21_col2, #T_13bcf_row21_col3, #T_13bcf_row21_col4, #T_13bcf_row21_col5, #T_13bcf_row21_col6, #T_13bcf_row21_col7, #T_13bcf_row21_col8, #T_13bcf_row21_col9, #T_13bcf_row21_col10, #T_13bcf_row21_col11, #T_13bcf_row21_col12, #T_13bcf_row21_col13, #T_13bcf_row23_col0, #T_13bcf_row23_col1, #T_13bcf_row23_col2, #T_13bcf_row23_col3, #T_13bcf_row23_col4, #T_13bcf_row23_col5, #T_13bcf_row23_col6, #T_13bcf_row23_col7, #T_13bcf_row23_col8, #T_13bcf_row23_col9, #T_13bcf_row23_col10, #T_13bcf_row23_col11, #T_13bcf_row23_col12, #T_13bcf_row23_col13, #T_13bcf_row24_col0, #T_13bcf_row24_col1, #T_13bcf_row24_col2, #T_13bcf_row24_col3, #T_13bcf_row24_col4, #T_13bcf_row24_col5, #T_13bcf_row24_col6, #T_13bcf_row24_col7, #T_13bcf_row24_col8, #T_13bcf_row24_col9, #T_13bcf_row24_col10, #T_13bcf_row24_col11, #T_13bcf_row24_col12, #T_13bcf_row24_col13, #T_13bcf_row25_col0, #T_13bcf_row25_col1, #T_13bcf_row25_col2, #T_13bcf_row25_col3, #T_13bcf_row25_col4, #T_13bcf_row25_col5, #T_13bcf_row25_col6, #T_13bcf_row25_col7, #T_13bcf_row25_col8, #T_13bcf_row25_col9, #T_13bcf_row25_col10, #T_13bcf_row25_col11, #T_13bcf_row25_col12, #T_13bcf_row25_col13, #T_13bcf_row26_col0, #T_13bcf_row26_col1, #T_13bcf_row26_col2, #T_13bcf_row26_col3, #T_13bcf_row26_col4, #T_13bcf_row26_col5, #T_13bcf_row26_col6, #T_13bcf_row26_col7, #T_13bcf_row26_col8, #T_13bcf_row26_col9, #T_13bcf_row26_col10, #T_13bcf_row26_col11, #T_13bcf_row26_col12, #T_13bcf_row26_col13, #T_13bcf_row27_col0, #T_13bcf_row27_col1, #T_13bcf_row27_col2, #T_13bcf_row27_col3, #T_13bcf_row27_col4, #T_13bcf_row27_col5, #T_13bcf_row27_col6, #T_13bcf_row27_col7, #T_13bcf_row27_col8, #T_13bcf_row27_col9, #T_13bcf_row27_col10, #T_13bcf_row27_col11, #T_13bcf_row27_col12, #T_13bcf_row27_col13, #T_13bcf_row28_col0, #T_13bcf_row28_col1, #T_13bcf_row28_col2, #T_13bcf_row28_col3, #T_13bcf_row28_col4, #T_13bcf_row28_col5, #T_13bcf_row28_col6, #T_13bcf_row28_col7, #T_13bcf_row28_col8, #T_13bcf_row28_col9, #T_13bcf_row28_col10, #T_13bcf_row28_col11, #T_13bcf_row28_col12, #T_13bcf_row28_col13, #T_13bcf_row29_col0, #T_13bcf_row29_col1, #T_13bcf_row29_col2, #T_13bcf_row29_col3, #T_13bcf_row29_col4, #T_13bcf_row29_col5, #T_13bcf_row29_col6, #T_13bcf_row29_col7, #T_13bcf_row29_col8, #T_13bcf_row29_col9, #T_13bcf_row29_col10, #T_13bcf_row29_col11, #T_13bcf_row29_col12, #T_13bcf_row29_col13, #T_13bcf_row30_col0, #T_13bcf_row30_col1, #T_13bcf_row30_col2, #T_13bcf_row30_col3, #T_13bcf_row30_col4, #T_13bcf_row30_col5, #T_13bcf_row30_col6, #T_13bcf_row30_col7, #T_13bcf_row30_col8, #T_13bcf_row30_col9, #T_13bcf_row30_col10, #T_13bcf_row30_col11, #T_13bcf_row30_col12, #T_13bcf_row30_col13, #T_13bcf_row31_col0, #T_13bcf_row31_col1, #T_13bcf_row31_col2, #T_13bcf_row31_col3, #T_13bcf_row31_col4, #T_13bcf_row31_col5, #T_13bcf_row31_col6, #T_13bcf_row31_col7, #T_13bcf_row31_col8, #T_13bcf_row31_col9, #T_13bcf_row31_col10, #T_13bcf_row31_col11, #T_13bcf_row31_col12, #T_13bcf_row31_col13, #T_13bcf_row32_col0, #T_13bcf_row32_col1, #T_13bcf_row32_col2, #T_13bcf_row32_col3, #T_13bcf_row32_col4, #T_13bcf_row32_col5, #T_13bcf_row32_col6, #T_13bcf_row32_col7, #T_13bcf_row32_col8, #T_13bcf_row32_col9, #T_13bcf_row32_col10, #T_13bcf_row32_col11, #T_13bcf_row32_col12, #T_13bcf_row32_col13, #T_13bcf_row33_col0, #T_13bcf_row33_col1, #T_13bcf_row33_col2, #T_13bcf_row33_col3, #T_13bcf_row33_col4, #T_13bcf_row33_col5, #T_13bcf_row33_col6, #T_13bcf_row33_col7, #T_13bcf_row33_col8, #T_13bcf_row33_col9, #T_13bcf_row33_col10, #T_13bcf_row33_col11, #T_13bcf_row33_col12, #T_13bcf_row33_col13, #T_13bcf_row34_col0, #T_13bcf_row34_col1, #T_13bcf_row34_col2, #T_13bcf_row34_col3, #T_13bcf_row34_col4, #T_13bcf_row34_col5, #T_13bcf_row34_col6, #T_13bcf_row34_col7, #T_13bcf_row34_col8, #T_13bcf_row34_col9, #T_13bcf_row34_col10, #T_13bcf_row34_col11, #T_13bcf_row34_col12, #T_13bcf_row34_col13, #T_13bcf_row35_col0, #T_13bcf_row35_col1, #T_13bcf_row35_col2, #T_13bcf_row35_col3, #T_13bcf_row35_col4, #T_13bcf_row35_col5, #T_13bcf_row35_col6, #T_13bcf_row35_col7, #T_13bcf_row35_col8, #T_13bcf_row35_col9, #T_13bcf_row35_col10, #T_13bcf_row35_col11, #T_13bcf_row35_col12, #T_13bcf_row35_col13, #T_13bcf_row36_col0, #T_13bcf_row36_col1, #T_13bcf_row36_col2, #T_13bcf_row36_col3, #T_13bcf_row36_col4, #T_13bcf_row36_col5, #T_13bcf_row36_col6, #T_13bcf_row36_col7, #T_13bcf_row36_col8, #T_13bcf_row36_col9, #T_13bcf_row36_col10, #T_13bcf_row36_col11, #T_13bcf_row36_col12, #T_13bcf_row36_col13, #T_13bcf_row37_col0, #T_13bcf_row37_col1, #T_13bcf_row37_col2, #T_13bcf_row37_col3, #T_13bcf_row37_col4, #T_13bcf_row37_col5, #T_13bcf_row37_col6, #T_13bcf_row37_col7, #T_13bcf_row37_col8, #T_13bcf_row37_col9, #T_13bcf_row37_col10, #T_13bcf_row37_col11, #T_13bcf_row37_col12, #T_13bcf_row37_col13, #T_13bcf_row38_col0, #T_13bcf_row38_col1, #T_13bcf_row38_col2, #T_13bcf_row38_col3, #T_13bcf_row38_col4, #T_13bcf_row38_col5, #T_13bcf_row38_col6, #T_13bcf_row38_col7, #T_13bcf_row38_col8, #T_13bcf_row38_col9, #T_13bcf_row38_col10, #T_13bcf_row38_col11, #T_13bcf_row38_col12, #T_13bcf_row38_col13, #T_13bcf_row39_col0, #T_13bcf_row39_col1, #T_13bcf_row39_col2, #T_13bcf_row39_col3, #T_13bcf_row39_col4, #T_13bcf_row39_col5, #T_13bcf_row39_col6, #T_13bcf_row39_col7, #T_13bcf_row39_col8, #T_13bcf_row39_col9, #T_13bcf_row39_col10, #T_13bcf_row39_col11, #T_13bcf_row39_col12, #T_13bcf_row39_col13, #T_13bcf_row40_col0, #T_13bcf_row40_col1, #T_13bcf_row40_col2, #T_13bcf_row40_col3, #T_13bcf_row40_col4, #T_13bcf_row40_col5, #T_13bcf_row40_col6, #T_13bcf_row40_col7, #T_13bcf_row40_col8, #T_13bcf_row40_col9, #T_13bcf_row40_col10, #T_13bcf_row40_col11, #T_13bcf_row40_col12, #T_13bcf_row40_col13, #T_13bcf_row41_col0, #T_13bcf_row41_col1, #T_13bcf_row41_col2, #T_13bcf_row41_col3, #T_13bcf_row41_col4, #T_13bcf_row41_col5, #T_13bcf_row41_col6, #T_13bcf_row41_col7, #T_13bcf_row41_col8, #T_13bcf_row41_col9, #T_13bcf_row41_col10, #T_13bcf_row41_col11, #T_13bcf_row41_col12, #T_13bcf_row41_col13, #T_13bcf_row42_col0, #T_13bcf_row42_col1, #T_13bcf_row42_col2, #T_13bcf_row42_col3, #T_13bcf_row42_col4, #T_13bcf_row42_col5, #T_13bcf_row42_col6, #T_13bcf_row42_col7, #T_13bcf_row42_col8, #T_13bcf_row42_col9, #T_13bcf_row42_col10, #T_13bcf_row42_col11, #T_13bcf_row42_col12, #T_13bcf_row42_col13, #T_13bcf_row43_col0, #T_13bcf_row43_col1, #T_13bcf_row43_col2, #T_13bcf_row43_col3, #T_13bcf_row43_col4, #T_13bcf_row43_col5, #T_13bcf_row43_col6, #T_13bcf_row43_col7, #T_13bcf_row43_col8, #T_13bcf_row43_col9, #T_13bcf_row43_col10, #T_13bcf_row43_col11, #T_13bcf_row43_col12, #T_13bcf_row43_col13, #T_13bcf_row44_col0, #T_13bcf_row44_col1, #T_13bcf_row44_col2, #T_13bcf_row44_col3, #T_13bcf_row44_col4, #T_13bcf_row44_col5, #T_13bcf_row44_col6, #T_13bcf_row44_col7, #T_13bcf_row44_col8, #T_13bcf_row44_col9, #T_13bcf_row44_col10, #T_13bcf_row44_col11, #T_13bcf_row44_col12, #T_13bcf_row44_col13, #T_13bcf_row45_col0, #T_13bcf_row45_col1, #T_13bcf_row45_col2, #T_13bcf_row45_col3, #T_13bcf_row45_col4, #T_13bcf_row45_col5, #T_13bcf_row45_col6, #T_13bcf_row45_col7, #T_13bcf_row45_col8, #T_13bcf_row45_col9, #T_13bcf_row45_col10, #T_13bcf_row45_col11, #T_13bcf_row45_col12, #T_13bcf_row45_col13, #T_13bcf_row46_col0, #T_13bcf_row46_col1, #T_13bcf_row46_col2, #T_13bcf_row46_col3, #T_13bcf_row46_col4, #T_13bcf_row46_col5, #T_13bcf_row46_col6, #T_13bcf_row46_col7, #T_13bcf_row46_col8, #T_13bcf_row46_col9, #T_13bcf_row46_col10, #T_13bcf_row46_col11, #T_13bcf_row46_col12, #T_13bcf_row46_col13, #T_13bcf_row47_col0, #T_13bcf_row47_col1, #T_13bcf_row47_col2, #T_13bcf_row47_col3, #T_13bcf_row47_col4, #T_13bcf_row47_col5, #T_13bcf_row47_col6, #T_13bcf_row47_col7, #T_13bcf_row47_col8, #T_13bcf_row47_col9, #T_13bcf_row47_col10, #T_13bcf_row47_col11, #T_13bcf_row47_col12, #T_13bcf_row47_col13, #T_13bcf_row48_col0, #T_13bcf_row48_col1, #T_13bcf_row48_col2, #T_13bcf_row48_col3, #T_13bcf_row48_col4, #T_13bcf_row48_col5, #T_13bcf_row48_col6, #T_13bcf_row48_col7, #T_13bcf_row48_col8, #T_13bcf_row48_col9, #T_13bcf_row48_col10, #T_13bcf_row48_col11, #T_13bcf_row48_col12, #T_13bcf_row48_col13, #T_13bcf_row49_col0, #T_13bcf_row49_col1, #T_13bcf_row49_col2, #T_13bcf_row49_col3, #T_13bcf_row49_col4, #T_13bcf_row49_col5, #T_13bcf_row49_col6, #T_13bcf_row49_col7, #T_13bcf_row49_col8, #T_13bcf_row49_col9, #T_13bcf_row49_col10, #T_13bcf_row49_col11, #T_13bcf_row49_col12, #T_13bcf_row49_col13, #T_13bcf_row50_col0, #T_13bcf_row50_col1, #T_13bcf_row50_col2, #T_13bcf_row50_col3, #T_13bcf_row50_col4, #T_13bcf_row50_col5, #T_13bcf_row50_col6, #T_13bcf_row50_col7, #T_13bcf_row50_col8, #T_13bcf_row50_col9, 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#T_13bcf_row142_col13, #T_13bcf_row143_col0, #T_13bcf_row143_col1, #T_13bcf_row143_col2, #T_13bcf_row143_col3, #T_13bcf_row143_col4, #T_13bcf_row143_col5, #T_13bcf_row143_col6, #T_13bcf_row143_col7, #T_13bcf_row143_col8, #T_13bcf_row143_col9, #T_13bcf_row143_col10, #T_13bcf_row143_col11, #T_13bcf_row143_col12, #T_13bcf_row143_col13, #T_13bcf_row144_col0, #T_13bcf_row144_col1, #T_13bcf_row144_col2, #T_13bcf_row144_col3, #T_13bcf_row144_col4, #T_13bcf_row144_col5, #T_13bcf_row144_col6, #T_13bcf_row144_col7, #T_13bcf_row144_col8, #T_13bcf_row144_col9, #T_13bcf_row144_col10, #T_13bcf_row144_col11, #T_13bcf_row144_col12, #T_13bcf_row144_col13, #T_13bcf_row145_col0, #T_13bcf_row145_col1, #T_13bcf_row145_col2, #T_13bcf_row145_col3, #T_13bcf_row145_col4, #T_13bcf_row145_col5, #T_13bcf_row145_col6, #T_13bcf_row145_col7, #T_13bcf_row145_col8, #T_13bcf_row145_col9, #T_13bcf_row145_col10, #T_13bcf_row145_col11, #T_13bcf_row145_col12, #T_13bcf_row145_col13, #T_13bcf_row146_col0, 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#T_13bcf_row152_col5, #T_13bcf_row152_col6, #T_13bcf_row152_col7, #T_13bcf_row152_col8, #T_13bcf_row152_col9, #T_13bcf_row152_col10, #T_13bcf_row152_col11, #T_13bcf_row152_col12, #T_13bcf_row152_col13, #T_13bcf_row153_col0, #T_13bcf_row153_col1, #T_13bcf_row153_col2, #T_13bcf_row153_col3, #T_13bcf_row153_col4, #T_13bcf_row153_col5, #T_13bcf_row153_col6, #T_13bcf_row153_col7, #T_13bcf_row153_col8, #T_13bcf_row153_col9, #T_13bcf_row153_col10, #T_13bcf_row153_col11, #T_13bcf_row153_col12, #T_13bcf_row153_col13, #T_13bcf_row155_col0, #T_13bcf_row155_col1, #T_13bcf_row155_col2, #T_13bcf_row155_col3, #T_13bcf_row155_col4, #T_13bcf_row155_col5, #T_13bcf_row155_col6, #T_13bcf_row155_col7, #T_13bcf_row155_col8, #T_13bcf_row155_col9, #T_13bcf_row155_col10, #T_13bcf_row155_col11, #T_13bcf_row155_col12, #T_13bcf_row155_col13, #T_13bcf_row156_col0, #T_13bcf_row156_col1, #T_13bcf_row156_col2, #T_13bcf_row156_col3, #T_13bcf_row156_col4, #T_13bcf_row156_col5, #T_13bcf_row156_col6, #T_13bcf_row156_col7, #T_13bcf_row156_col8, #T_13bcf_row156_col9, #T_13bcf_row156_col10, #T_13bcf_row156_col11, #T_13bcf_row156_col12, #T_13bcf_row156_col13, #T_13bcf_row157_col0, #T_13bcf_row157_col1, #T_13bcf_row157_col2, #T_13bcf_row157_col3, #T_13bcf_row157_col4, #T_13bcf_row157_col5, #T_13bcf_row157_col6, #T_13bcf_row157_col7, #T_13bcf_row157_col8, #T_13bcf_row157_col9, #T_13bcf_row157_col10, #T_13bcf_row157_col11, #T_13bcf_row157_col12, #T_13bcf_row157_col13, #T_13bcf_row158_col0, #T_13bcf_row158_col1, #T_13bcf_row158_col2, #T_13bcf_row158_col3, #T_13bcf_row158_col4, #T_13bcf_row158_col5, #T_13bcf_row158_col6, #T_13bcf_row158_col7, #T_13bcf_row158_col8, #T_13bcf_row158_col9, #T_13bcf_row158_col10, #T_13bcf_row158_col11, #T_13bcf_row158_col12, #T_13bcf_row158_col13, #T_13bcf_row159_col0, #T_13bcf_row159_col1, #T_13bcf_row159_col2, #T_13bcf_row159_col3, #T_13bcf_row159_col4, #T_13bcf_row159_col5, #T_13bcf_row159_col6, #T_13bcf_row159_col7, #T_13bcf_row159_col8, #T_13bcf_row159_col9, #T_13bcf_row159_col10, #T_13bcf_row159_col11, #T_13bcf_row159_col12, #T_13bcf_row159_col13, #T_13bcf_row160_col0, #T_13bcf_row160_col1, #T_13bcf_row160_col2, #T_13bcf_row160_col3, #T_13bcf_row160_col4, #T_13bcf_row160_col5, #T_13bcf_row160_col6, #T_13bcf_row160_col7, #T_13bcf_row160_col8, #T_13bcf_row160_col9, #T_13bcf_row160_col10, #T_13bcf_row160_col11, #T_13bcf_row160_col12, #T_13bcf_row160_col13, #T_13bcf_row161_col0, #T_13bcf_row161_col1, #T_13bcf_row161_col2, #T_13bcf_row161_col3, #T_13bcf_row161_col4, #T_13bcf_row161_col5, #T_13bcf_row161_col6, #T_13bcf_row161_col7, #T_13bcf_row161_col8, #T_13bcf_row161_col9, #T_13bcf_row161_col10, #T_13bcf_row161_col11, #T_13bcf_row161_col12, #T_13bcf_row161_col13, #T_13bcf_row162_col0, #T_13bcf_row162_col1, #T_13bcf_row162_col2, #T_13bcf_row162_col3, #T_13bcf_row162_col4, #T_13bcf_row162_col5, #T_13bcf_row162_col6, #T_13bcf_row162_col7, #T_13bcf_row162_col8, #T_13bcf_row162_col9, #T_13bcf_row162_col10, 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#T_13bcf_row210_col13, #T_13bcf_row211_col0, #T_13bcf_row211_col1, #T_13bcf_row211_col2, #T_13bcf_row211_col3, #T_13bcf_row211_col4, #T_13bcf_row211_col5, #T_13bcf_row211_col6, #T_13bcf_row211_col7, #T_13bcf_row211_col8, #T_13bcf_row211_col9, #T_13bcf_row211_col10, #T_13bcf_row211_col11, #T_13bcf_row211_col12, #T_13bcf_row211_col13, #T_13bcf_row212_col0, #T_13bcf_row212_col1, #T_13bcf_row212_col2, #T_13bcf_row212_col3, #T_13bcf_row212_col4, #T_13bcf_row212_col5, #T_13bcf_row212_col6, #T_13bcf_row212_col7, #T_13bcf_row212_col8, #T_13bcf_row212_col9, #T_13bcf_row212_col10, #T_13bcf_row212_col11, #T_13bcf_row212_col12, #T_13bcf_row212_col13, #T_13bcf_row213_col0, #T_13bcf_row213_col1, #T_13bcf_row213_col2, #T_13bcf_row213_col3, #T_13bcf_row213_col4, #T_13bcf_row213_col5, #T_13bcf_row213_col6, #T_13bcf_row213_col7, #T_13bcf_row213_col8, #T_13bcf_row213_col9, #T_13bcf_row213_col10, #T_13bcf_row213_col11, #T_13bcf_row213_col12, #T_13bcf_row213_col13, #T_13bcf_row215_col0, #T_13bcf_row215_col1, #T_13bcf_row215_col2, #T_13bcf_row215_col3, #T_13bcf_row215_col4, #T_13bcf_row215_col5, #T_13bcf_row215_col6, #T_13bcf_row215_col7, #T_13bcf_row215_col8, #T_13bcf_row215_col9, #T_13bcf_row215_col10, #T_13bcf_row215_col11, #T_13bcf_row215_col12, #T_13bcf_row215_col13, #T_13bcf_row216_col0, #T_13bcf_row216_col1, #T_13bcf_row216_col2, #T_13bcf_row216_col3, #T_13bcf_row216_col4, #T_13bcf_row216_col5, #T_13bcf_row216_col6, #T_13bcf_row216_col7, #T_13bcf_row216_col8, #T_13bcf_row216_col9, #T_13bcf_row216_col10, #T_13bcf_row216_col11, #T_13bcf_row216_col12, #T_13bcf_row216_col13, #T_13bcf_row217_col0, #T_13bcf_row217_col1, #T_13bcf_row217_col2, #T_13bcf_row217_col3, #T_13bcf_row217_col4, #T_13bcf_row217_col5, #T_13bcf_row217_col6, #T_13bcf_row217_col7, #T_13bcf_row217_col8, #T_13bcf_row217_col9, #T_13bcf_row217_col10, #T_13bcf_row217_col11, #T_13bcf_row217_col12, #T_13bcf_row217_col13, #T_13bcf_row218_col0, #T_13bcf_row218_col1, #T_13bcf_row218_col2, #T_13bcf_row218_col3, #T_13bcf_row218_col4, #T_13bcf_row218_col5, #T_13bcf_row218_col6, #T_13bcf_row218_col7, #T_13bcf_row218_col8, #T_13bcf_row218_col9, #T_13bcf_row218_col10, #T_13bcf_row218_col11, #T_13bcf_row218_col12, #T_13bcf_row218_col13, #T_13bcf_row219_col0, #T_13bcf_row219_col1, #T_13bcf_row219_col2, #T_13bcf_row219_col3, #T_13bcf_row219_col4, #T_13bcf_row219_col5, #T_13bcf_row219_col6, #T_13bcf_row219_col7, #T_13bcf_row219_col8, #T_13bcf_row219_col9, #T_13bcf_row219_col10, #T_13bcf_row219_col11, #T_13bcf_row219_col12, #T_13bcf_row219_col13, #T_13bcf_row220_col0, #T_13bcf_row220_col1, #T_13bcf_row220_col2, #T_13bcf_row220_col3, #T_13bcf_row220_col4, #T_13bcf_row220_col5, #T_13bcf_row220_col6, #T_13bcf_row220_col7, #T_13bcf_row220_col8, #T_13bcf_row220_col9, #T_13bcf_row220_col10, #T_13bcf_row220_col11, #T_13bcf_row220_col12, #T_13bcf_row220_col13, #T_13bcf_row221_col0, #T_13bcf_row221_col1, #T_13bcf_row221_col2, #T_13bcf_row221_col3, #T_13bcf_row221_col4, #T_13bcf_row221_col5, #T_13bcf_row221_col6, #T_13bcf_row221_col7, #T_13bcf_row221_col8, #T_13bcf_row221_col9, #T_13bcf_row221_col10, #T_13bcf_row221_col11, #T_13bcf_row221_col12, #T_13bcf_row221_col13, #T_13bcf_row222_col0, #T_13bcf_row222_col1, #T_13bcf_row222_col2, #T_13bcf_row222_col3, #T_13bcf_row222_col4, #T_13bcf_row222_col5, #T_13bcf_row222_col6, #T_13bcf_row222_col7, #T_13bcf_row222_col8, #T_13bcf_row222_col9, #T_13bcf_row222_col10, #T_13bcf_row222_col11, #T_13bcf_row222_col12, #T_13bcf_row222_col13, #T_13bcf_row223_col0, #T_13bcf_row223_col1, #T_13bcf_row223_col2, #T_13bcf_row223_col3, #T_13bcf_row223_col4, #T_13bcf_row223_col5, #T_13bcf_row223_col6, #T_13bcf_row223_col7, #T_13bcf_row223_col8, #T_13bcf_row223_col9, #T_13bcf_row223_col10, #T_13bcf_row223_col11, #T_13bcf_row223_col12, #T_13bcf_row223_col13, #T_13bcf_row224_col0, #T_13bcf_row224_col1, #T_13bcf_row224_col2, #T_13bcf_row224_col3, #T_13bcf_row224_col4, #T_13bcf_row224_col5, #T_13bcf_row224_col6, #T_13bcf_row224_col7, #T_13bcf_row224_col8, #T_13bcf_row224_col9, #T_13bcf_row224_col10, #T_13bcf_row224_col11, #T_13bcf_row224_col12, #T_13bcf_row224_col13, #T_13bcf_row225_col0, #T_13bcf_row225_col1, #T_13bcf_row225_col2, #T_13bcf_row225_col3, #T_13bcf_row225_col4, #T_13bcf_row225_col5, #T_13bcf_row225_col6, #T_13bcf_row225_col7, #T_13bcf_row225_col8, #T_13bcf_row225_col9, #T_13bcf_row225_col10, #T_13bcf_row225_col11, #T_13bcf_row225_col12, #T_13bcf_row225_col13, #T_13bcf_row226_col0, #T_13bcf_row226_col1, #T_13bcf_row226_col2, #T_13bcf_row226_col3, #T_13bcf_row226_col4, #T_13bcf_row226_col5, #T_13bcf_row226_col6, #T_13bcf_row226_col7, #T_13bcf_row226_col8, #T_13bcf_row226_col9, #T_13bcf_row226_col10, #T_13bcf_row226_col11, #T_13bcf_row226_col12, #T_13bcf_row226_col13, #T_13bcf_row227_col0, #T_13bcf_row227_col1, #T_13bcf_row227_col2, #T_13bcf_row227_col3, #T_13bcf_row227_col4, #T_13bcf_row227_col5, #T_13bcf_row227_col6, #T_13bcf_row227_col7, #T_13bcf_row227_col8, #T_13bcf_row227_col9, #T_13bcf_row227_col10, #T_13bcf_row227_col11, #T_13bcf_row227_col12, #T_13bcf_row227_col13, #T_13bcf_row228_col0, #T_13bcf_row228_col1, #T_13bcf_row228_col2, #T_13bcf_row228_col3, #T_13bcf_row228_col4, #T_13bcf_row228_col5, #T_13bcf_row228_col6, #T_13bcf_row228_col7, #T_13bcf_row228_col8, #T_13bcf_row228_col9, #T_13bcf_row228_col10, #T_13bcf_row228_col11, #T_13bcf_row228_col12, #T_13bcf_row228_col13, #T_13bcf_row229_col0, #T_13bcf_row229_col1, #T_13bcf_row229_col2, #T_13bcf_row229_col3, #T_13bcf_row229_col4, #T_13bcf_row229_col5, #T_13bcf_row229_col6, #T_13bcf_row229_col7, #T_13bcf_row229_col8, #T_13bcf_row229_col9, #T_13bcf_row229_col10, #T_13bcf_row229_col11, #T_13bcf_row229_col12, #T_13bcf_row229_col13, #T_13bcf_row230_col0, #T_13bcf_row230_col1, #T_13bcf_row230_col2, #T_13bcf_row230_col3, #T_13bcf_row230_col4, #T_13bcf_row230_col5, #T_13bcf_row230_col6, #T_13bcf_row230_col7, #T_13bcf_row230_col8, #T_13bcf_row230_col9, #T_13bcf_row230_col10, #T_13bcf_row230_col11, #T_13bcf_row230_col12, #T_13bcf_row230_col13, #T_13bcf_row231_col0, #T_13bcf_row231_col1, #T_13bcf_row231_col2, #T_13bcf_row231_col3, #T_13bcf_row231_col4, #T_13bcf_row231_col5, #T_13bcf_row231_col6, #T_13bcf_row231_col7, #T_13bcf_row231_col8, #T_13bcf_row231_col9, #T_13bcf_row231_col10, #T_13bcf_row231_col11, #T_13bcf_row231_col12, #T_13bcf_row231_col13, #T_13bcf_row232_col0, #T_13bcf_row232_col1, #T_13bcf_row232_col2, #T_13bcf_row232_col3, #T_13bcf_row232_col4, #T_13bcf_row232_col5, #T_13bcf_row232_col6, #T_13bcf_row232_col7, #T_13bcf_row232_col8, #T_13bcf_row232_col9, #T_13bcf_row232_col10, #T_13bcf_row232_col11, #T_13bcf_row232_col12, #T_13bcf_row232_col13, #T_13bcf_row233_col0, #T_13bcf_row233_col1, #T_13bcf_row233_col2, #T_13bcf_row233_col3, #T_13bcf_row233_col4, #T_13bcf_row233_col5, #T_13bcf_row233_col6, #T_13bcf_row233_col7, #T_13bcf_row233_col8, #T_13bcf_row233_col9, #T_13bcf_row233_col10, #T_13bcf_row233_col11, #T_13bcf_row233_col12, #T_13bcf_row233_col13, #T_13bcf_row234_col0, #T_13bcf_row234_col1, #T_13bcf_row234_col2, #T_13bcf_row234_col3, #T_13bcf_row234_col4, #T_13bcf_row234_col5, #T_13bcf_row234_col6, #T_13bcf_row234_col7, #T_13bcf_row234_col8, #T_13bcf_row234_col9, #T_13bcf_row234_col10, #T_13bcf_row234_col11, #T_13bcf_row234_col12, #T_13bcf_row234_col13, #T_13bcf_row235_col0, #T_13bcf_row235_col1, #T_13bcf_row235_col2, #T_13bcf_row235_col3, #T_13bcf_row235_col4, #T_13bcf_row235_col5, #T_13bcf_row235_col6, #T_13bcf_row235_col7, #T_13bcf_row235_col8, #T_13bcf_row235_col9, #T_13bcf_row235_col10, #T_13bcf_row235_col11, #T_13bcf_row235_col12, #T_13bcf_row235_col13, #T_13bcf_row236_col0, #T_13bcf_row236_col1, #T_13bcf_row236_col2, #T_13bcf_row236_col3, #T_13bcf_row236_col4, #T_13bcf_row236_col5, #T_13bcf_row236_col6, #T_13bcf_row236_col7, #T_13bcf_row236_col8, #T_13bcf_row236_col9, #T_13bcf_row236_col10, #T_13bcf_row236_col11, #T_13bcf_row236_col12, #T_13bcf_row236_col13, #T_13bcf_row237_col0, #T_13bcf_row237_col1, #T_13bcf_row237_col2, #T_13bcf_row237_col3, #T_13bcf_row237_col4, #T_13bcf_row237_col5, #T_13bcf_row237_col6, #T_13bcf_row237_col7, #T_13bcf_row237_col8, #T_13bcf_row237_col9, #T_13bcf_row237_col10, #T_13bcf_row237_col11, #T_13bcf_row237_col12, #T_13bcf_row237_col13, #T_13bcf_row238_col0, #T_13bcf_row238_col1, #T_13bcf_row238_col2, #T_13bcf_row238_col3, #T_13bcf_row238_col4, #T_13bcf_row238_col5, #T_13bcf_row238_col6, #T_13bcf_row238_col7, #T_13bcf_row238_col8, #T_13bcf_row238_col9, #T_13bcf_row238_col10, #T_13bcf_row238_col11, #T_13bcf_row238_col12, #T_13bcf_row238_col13, #T_13bcf_row239_col0, #T_13bcf_row239_col1, #T_13bcf_row239_col2, #T_13bcf_row239_col3, #T_13bcf_row239_col4, #T_13bcf_row239_col5, #T_13bcf_row239_col6, #T_13bcf_row239_col7, #T_13bcf_row239_col8, #T_13bcf_row239_col9, #T_13bcf_row239_col10, #T_13bcf_row239_col11, #T_13bcf_row239_col12, #T_13bcf_row239_col13, #T_13bcf_row240_col0, #T_13bcf_row240_col1, #T_13bcf_row240_col2, #T_13bcf_row240_col3, #T_13bcf_row240_col4, #T_13bcf_row240_col5, #T_13bcf_row240_col6, #T_13bcf_row240_col7, #T_13bcf_row240_col8, #T_13bcf_row240_col9, #T_13bcf_row240_col10, #T_13bcf_row240_col11, #T_13bcf_row240_col12, #T_13bcf_row240_col13, #T_13bcf_row241_col0, #T_13bcf_row241_col1, #T_13bcf_row241_col2, #T_13bcf_row241_col3, #T_13bcf_row241_col4, #T_13bcf_row241_col5, #T_13bcf_row241_col6, #T_13bcf_row241_col7, #T_13bcf_row241_col8, #T_13bcf_row241_col9, #T_13bcf_row241_col10, #T_13bcf_row241_col11, #T_13bcf_row241_col12, #T_13bcf_row241_col13, #T_13bcf_row242_col0, #T_13bcf_row242_col1, #T_13bcf_row242_col2, #T_13bcf_row242_col3, #T_13bcf_row242_col4, #T_13bcf_row242_col5, #T_13bcf_row242_col6, #T_13bcf_row242_col7, #T_13bcf_row242_col8, #T_13bcf_row242_col9, #T_13bcf_row242_col10, #T_13bcf_row242_col11, #T_13bcf_row242_col12, #T_13bcf_row242_col13, #T_13bcf_row243_col0, #T_13bcf_row243_col1, #T_13bcf_row243_col2, #T_13bcf_row243_col3, #T_13bcf_row243_col4, #T_13bcf_row243_col5, #T_13bcf_row243_col6, #T_13bcf_row243_col7, #T_13bcf_row243_col8, #T_13bcf_row243_col9, #T_13bcf_row243_col10, #T_13bcf_row243_col11, #T_13bcf_row243_col12, #T_13bcf_row243_col13, #T_13bcf_row244_col0, #T_13bcf_row244_col1, #T_13bcf_row244_col2, #T_13bcf_row244_col3, #T_13bcf_row244_col4, #T_13bcf_row244_col5, #T_13bcf_row244_col6, #T_13bcf_row244_col7, #T_13bcf_row244_col8, #T_13bcf_row244_col9, #T_13bcf_row244_col10, #T_13bcf_row244_col11, #T_13bcf_row244_col12, #T_13bcf_row244_col13, #T_13bcf_row245_col0, #T_13bcf_row245_col1, #T_13bcf_row245_col2, #T_13bcf_row245_col3, #T_13bcf_row245_col4, #T_13bcf_row245_col5, #T_13bcf_row245_col6, #T_13bcf_row245_col7, #T_13bcf_row245_col8, #T_13bcf_row245_col9, #T_13bcf_row245_col10, #T_13bcf_row245_col11, #T_13bcf_row245_col12, #T_13bcf_row245_col13, #T_13bcf_row246_col0, #T_13bcf_row246_col1, #T_13bcf_row246_col2, #T_13bcf_row246_col3, #T_13bcf_row246_col4, #T_13bcf_row246_col5, #T_13bcf_row246_col6, #T_13bcf_row246_col7, #T_13bcf_row246_col8, #T_13bcf_row246_col9, #T_13bcf_row246_col10, #T_13bcf_row246_col11, #T_13bcf_row246_col12, #T_13bcf_row246_col13, #T_13bcf_row247_col0, #T_13bcf_row247_col1, #T_13bcf_row247_col2, #T_13bcf_row247_col3, #T_13bcf_row247_col4, #T_13bcf_row247_col5, #T_13bcf_row247_col6, #T_13bcf_row247_col7, #T_13bcf_row247_col8, #T_13bcf_row247_col9, #T_13bcf_row247_col10, #T_13bcf_row247_col11, #T_13bcf_row247_col12, #T_13bcf_row247_col13, #T_13bcf_row248_col0, #T_13bcf_row248_col1, #T_13bcf_row248_col2, #T_13bcf_row248_col3, #T_13bcf_row248_col4, #T_13bcf_row248_col5, #T_13bcf_row248_col6, #T_13bcf_row248_col7, #T_13bcf_row248_col8, #T_13bcf_row248_col9, #T_13bcf_row248_col10, #T_13bcf_row248_col11, #T_13bcf_row248_col12, #T_13bcf_row248_col13, #T_13bcf_row249_col0, #T_13bcf_row249_col1, #T_13bcf_row249_col2, #T_13bcf_row249_col3, #T_13bcf_row249_col4, #T_13bcf_row249_col5, #T_13bcf_row249_col6, #T_13bcf_row249_col7, #T_13bcf_row249_col8, #T_13bcf_row249_col9, #T_13bcf_row249_col10, #T_13bcf_row249_col11, #T_13bcf_row249_col12, #T_13bcf_row249_col13, #T_13bcf_row250_col0, #T_13bcf_row250_col1, #T_13bcf_row250_col2, #T_13bcf_row250_col3, #T_13bcf_row250_col4, #T_13bcf_row250_col5, #T_13bcf_row250_col6, #T_13bcf_row250_col7, #T_13bcf_row250_col8, #T_13bcf_row250_col9, #T_13bcf_row250_col10, #T_13bcf_row250_col11, #T_13bcf_row250_col12, #T_13bcf_row250_col13, #T_13bcf_row251_col0, #T_13bcf_row251_col1, #T_13bcf_row251_col2, #T_13bcf_row251_col3, #T_13bcf_row251_col4, #T_13bcf_row251_col5, #T_13bcf_row251_col6, #T_13bcf_row251_col7, #T_13bcf_row251_col8, #T_13bcf_row251_col9, #T_13bcf_row251_col10, #T_13bcf_row251_col11, #T_13bcf_row251_col12, #T_13bcf_row251_col13, #T_13bcf_row252_col0, #T_13bcf_row252_col1, #T_13bcf_row252_col2, #T_13bcf_row252_col3, #T_13bcf_row252_col4, #T_13bcf_row252_col5, #T_13bcf_row252_col6, #T_13bcf_row252_col7, #T_13bcf_row252_col8, #T_13bcf_row252_col9, #T_13bcf_row252_col10, #T_13bcf_row252_col11, #T_13bcf_row252_col12, #T_13bcf_row252_col13, #T_13bcf_row253_col0, #T_13bcf_row253_col1, #T_13bcf_row253_col2, #T_13bcf_row253_col3, #T_13bcf_row253_col4, #T_13bcf_row253_col5, #T_13bcf_row253_col6, #T_13bcf_row253_col7, #T_13bcf_row253_col8, #T_13bcf_row253_col9, #T_13bcf_row253_col10, #T_13bcf_row253_col11, #T_13bcf_row253_col12, #T_13bcf_row253_col13, #T_13bcf_row254_col0, #T_13bcf_row254_col1, #T_13bcf_row254_col2, #T_13bcf_row254_col3, #T_13bcf_row254_col4, #T_13bcf_row254_col5, #T_13bcf_row254_col6, #T_13bcf_row254_col7, #T_13bcf_row254_col8, #T_13bcf_row254_col9, #T_13bcf_row254_col10, #T_13bcf_row254_col11, #T_13bcf_row254_col12, #T_13bcf_row254_col13, #T_13bcf_row255_col0, #T_13bcf_row255_col1, #T_13bcf_row255_col2, #T_13bcf_row255_col3, #T_13bcf_row255_col4, #T_13bcf_row255_col5, #T_13bcf_row255_col6, #T_13bcf_row255_col7, #T_13bcf_row255_col8, #T_13bcf_row255_col9, #T_13bcf_row255_col10, #T_13bcf_row255_col11, #T_13bcf_row255_col12, #T_13bcf_row255_col13 {\n",
              "  color: #A16060;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_13bcf_\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th class=\"col_heading level0 col0\" >Distribution</th>\n",
              "      <th class=\"col_heading level0 col1\" >No. of Agents</th>\n",
              "      <th class=\"col_heading level0 col2\" colspan=\"3\">Brute Force Solution</th>\n",
              "      <th class=\"col_heading level0 col5\" colspan=\"4\">Qiskit Eigensolver</th>\n",
              "      <th class=\"col_heading level0 col9\" colspan=\"5\">Qiskit QAOA</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"blank level1\" >&nbsp;</th>\n",
              "      <th class=\"col_heading level1 col0\" ></th>\n",
              "      <th class=\"col_heading level1 col1\" ></th>\n",
              "      <th class=\"col_heading level1 col2\" >Result</th>\n",
              "      <th class=\"col_heading level1 col3\" >Value</th>\n",
              "      <th class=\"col_heading level1 col4\" >TTE</th>\n",
              "      <th class=\"col_heading level1 col5\" >Result</th>\n",
              "      <th class=\"col_heading level1 col6\" >Value</th>\n",
              "      <th class=\"col_heading level1 col7\" >TTE</th>\n",
              "      <th class=\"col_heading level1 col8\" >Correctness</th>\n",
              "      <th class=\"col_heading level1 col9\" >Result</th>\n",
              "      <th class=\"col_heading level1 col10\" >Value</th>\n",
              "      <th class=\"col_heading level1 col11\" >TTE</th>\n",
              "      <th class=\"col_heading level1 col12\" >reps (p)</th>\n",
              "      <th class=\"col_heading level1 col13\" >Correctness</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row0\" class=\"row_heading level0 row0\" >153</th>\n",
              "      <td id=\"T_13bcf_row0_col0\" class=\"data row0 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row0_col1\" class=\"data row0 col1\" >2</td>\n",
              "      <td id=\"T_13bcf_row0_col2\" class=\"data row0 col2\" >00</td>\n",
              "      <td id=\"T_13bcf_row0_col3\" class=\"data row0 col3\" >-0.000000</td>\n",
              "      <td id=\"T_13bcf_row0_col4\" class=\"data row0 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row0_col5\" class=\"data row0 col5\" >00</td>\n",
              "      <td id=\"T_13bcf_row0_col6\" class=\"data row0 col6\" >-0.000000</td>\n",
              "      <td id=\"T_13bcf_row0_col7\" class=\"data row0 col7\" >0.050000</td>\n",
              "      <td id=\"T_13bcf_row0_col8\" class=\"data row0 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row0_col9\" class=\"data row0 col9\" >00</td>\n",
              "      <td id=\"T_13bcf_row0_col10\" class=\"data row0 col10\" >-0.000000</td>\n",
              "      <td id=\"T_13bcf_row0_col11\" class=\"data row0 col11\" >1.220000</td>\n",
              "      <td id=\"T_13bcf_row0_col12\" class=\"data row0 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row0_col13\" class=\"data row0 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row1\" class=\"row_heading level0 row1\" >154</th>\n",
              "      <td id=\"T_13bcf_row1_col0\" class=\"data row1 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row1_col1\" class=\"data row1 col1\" >3</td>\n",
              "      <td id=\"T_13bcf_row1_col2\" class=\"data row1 col2\" >110</td>\n",
              "      <td id=\"T_13bcf_row1_col3\" class=\"data row1 col3\" >-6.740000</td>\n",
              "      <td id=\"T_13bcf_row1_col4\" class=\"data row1 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row1_col5\" class=\"data row1 col5\" >110</td>\n",
              "      <td id=\"T_13bcf_row1_col6\" class=\"data row1 col6\" >-6.740000</td>\n",
              "      <td id=\"T_13bcf_row1_col7\" class=\"data row1 col7\" >0.020000</td>\n",
              "      <td id=\"T_13bcf_row1_col8\" class=\"data row1 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row1_col9\" class=\"data row1 col9\" >110</td>\n",
              "      <td id=\"T_13bcf_row1_col10\" class=\"data row1 col10\" >-6.740000</td>\n",
              "      <td id=\"T_13bcf_row1_col11\" class=\"data row1 col11\" >0.110000</td>\n",
              "      <td id=\"T_13bcf_row1_col12\" class=\"data row1 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row1_col13\" class=\"data row1 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row2\" class=\"row_heading level0 row2\" >155</th>\n",
              "      <td id=\"T_13bcf_row2_col0\" class=\"data row2 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row2_col1\" class=\"data row2 col1\" >4</td>\n",
              "      <td id=\"T_13bcf_row2_col2\" class=\"data row2 col2\" >1000</td>\n",
              "      <td id=\"T_13bcf_row2_col3\" class=\"data row2 col3\" >-4.240000</td>\n",
              "      <td id=\"T_13bcf_row2_col4\" class=\"data row2 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row2_col5\" class=\"data row2 col5\" >1000</td>\n",
              "      <td id=\"T_13bcf_row2_col6\" class=\"data row2 col6\" >-4.240000</td>\n",
              "      <td id=\"T_13bcf_row2_col7\" class=\"data row2 col7\" >0.030000</td>\n",
              "      <td id=\"T_13bcf_row2_col8\" class=\"data row2 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row2_col9\" class=\"data row2 col9\" >1000</td>\n",
              "      <td id=\"T_13bcf_row2_col10\" class=\"data row2 col10\" >-4.240000</td>\n",
              "      <td id=\"T_13bcf_row2_col11\" class=\"data row2 col11\" >0.170000</td>\n",
              "      <td id=\"T_13bcf_row2_col12\" class=\"data row2 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row2_col13\" class=\"data row2 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row3\" class=\"row_heading level0 row3\" >156</th>\n",
              "      <td id=\"T_13bcf_row3_col0\" class=\"data row3 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row3_col1\" class=\"data row3 col1\" >5</td>\n",
              "      <td id=\"T_13bcf_row3_col2\" class=\"data row3 col2\" >00110</td>\n",
              "      <td id=\"T_13bcf_row3_col3\" class=\"data row3 col3\" >-6.090000</td>\n",
              "      <td id=\"T_13bcf_row3_col4\" class=\"data row3 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row3_col5\" class=\"data row3 col5\" >11001</td>\n",
              "      <td id=\"T_13bcf_row3_col6\" class=\"data row3 col6\" >-6.090000</td>\n",
              "      <td id=\"T_13bcf_row3_col7\" class=\"data row3 col7\" >0.030000</td>\n",
              "      <td id=\"T_13bcf_row3_col8\" class=\"data row3 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row3_col9\" class=\"data row3 col9\" >00110</td>\n",
              "      <td id=\"T_13bcf_row3_col10\" class=\"data row3 col10\" >-6.090000</td>\n",
              "      <td id=\"T_13bcf_row3_col11\" class=\"data row3 col11\" >0.200000</td>\n",
              "      <td id=\"T_13bcf_row3_col12\" class=\"data row3 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row3_col13\" class=\"data row3 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row4\" class=\"row_heading level0 row4\" >157</th>\n",
              "      <td id=\"T_13bcf_row4_col0\" class=\"data row4 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row4_col1\" class=\"data row4 col1\" >6</td>\n",
              "      <td id=\"T_13bcf_row4_col2\" class=\"data row4 col2\" >010110</td>\n",
              "      <td id=\"T_13bcf_row4_col3\" class=\"data row4 col3\" >-16.800000</td>\n",
              "      <td id=\"T_13bcf_row4_col4\" class=\"data row4 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row4_col5\" class=\"data row4 col5\" >010110</td>\n",
              "      <td id=\"T_13bcf_row4_col6\" class=\"data row4 col6\" >-16.800000</td>\n",
              "      <td id=\"T_13bcf_row4_col7\" class=\"data row4 col7\" >0.040000</td>\n",
              "      <td id=\"T_13bcf_row4_col8\" class=\"data row4 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row4_col9\" class=\"data row4 col9\" >110110</td>\n",
              "      <td id=\"T_13bcf_row4_col10\" class=\"data row4 col10\" >-15.790000</td>\n",
              "      <td id=\"T_13bcf_row4_col11\" class=\"data row4 col11\" >0.470000</td>\n",
              "      <td id=\"T_13bcf_row4_col12\" class=\"data row4 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row4_col13\" class=\"data row4 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row5\" class=\"row_heading level0 row5\" >158</th>\n",
              "      <td id=\"T_13bcf_row5_col0\" class=\"data row5 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row5_col1\" class=\"data row5 col1\" >6</td>\n",
              "      <td id=\"T_13bcf_row5_col2\" class=\"data row5 col2\" >010110</td>\n",
              "      <td id=\"T_13bcf_row5_col3\" class=\"data row5 col3\" >-16.800000</td>\n",
              "      <td id=\"T_13bcf_row5_col4\" class=\"data row5 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row5_col5\" class=\"data row5 col5\" >010110</td>\n",
              "      <td id=\"T_13bcf_row5_col6\" class=\"data row5 col6\" >-16.800000</td>\n",
              "      <td id=\"T_13bcf_row5_col7\" class=\"data row5 col7\" >0.040000</td>\n",
              "      <td id=\"T_13bcf_row5_col8\" class=\"data row5 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row5_col9\" class=\"data row5 col9\" >101001</td>\n",
              "      <td id=\"T_13bcf_row5_col10\" class=\"data row5 col10\" >-16.800000</td>\n",
              "      <td id=\"T_13bcf_row5_col11\" class=\"data row5 col11\" >0.450000</td>\n",
              "      <td id=\"T_13bcf_row5_col12\" class=\"data row5 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row5_col13\" class=\"data row5 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row6\" class=\"row_heading level0 row6\" >159</th>\n",
              "      <td id=\"T_13bcf_row6_col0\" class=\"data row6 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row6_col1\" class=\"data row6 col1\" >7</td>\n",
              "      <td id=\"T_13bcf_row6_col2\" class=\"data row6 col2\" >0111100</td>\n",
              "      <td id=\"T_13bcf_row6_col3\" class=\"data row6 col3\" >-28.190000</td>\n",
              "      <td id=\"T_13bcf_row6_col4\" class=\"data row6 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row6_col5\" class=\"data row6 col5\" >0111100</td>\n",
              "      <td id=\"T_13bcf_row6_col6\" class=\"data row6 col6\" >-28.190000</td>\n",
              "      <td id=\"T_13bcf_row6_col7\" class=\"data row6 col7\" >0.050000</td>\n",
              "      <td id=\"T_13bcf_row6_col8\" class=\"data row6 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row6_col9\" class=\"data row6 col9\" >1000011</td>\n",
              "      <td id=\"T_13bcf_row6_col10\" class=\"data row6 col10\" >-28.190000</td>\n",
              "      <td id=\"T_13bcf_row6_col11\" class=\"data row6 col11\" >0.540000</td>\n",
              "      <td id=\"T_13bcf_row6_col12\" class=\"data row6 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row6_col13\" class=\"data row6 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row7\" class=\"row_heading level0 row7\" >160</th>\n",
              "      <td id=\"T_13bcf_row7_col0\" class=\"data row7 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row7_col1\" class=\"data row7 col1\" >8</td>\n",
              "      <td id=\"T_13bcf_row7_col2\" class=\"data row7 col2\" >01100010</td>\n",
              "      <td id=\"T_13bcf_row7_col3\" class=\"data row7 col3\" >-22.130000</td>\n",
              "      <td id=\"T_13bcf_row7_col4\" class=\"data row7 col4\" >0.010000</td>\n",
              "      <td id=\"T_13bcf_row7_col5\" class=\"data row7 col5\" >01100010</td>\n",
              "      <td id=\"T_13bcf_row7_col6\" class=\"data row7 col6\" >-22.130000</td>\n",
              "      <td id=\"T_13bcf_row7_col7\" class=\"data row7 col7\" >0.070000</td>\n",
              "      <td id=\"T_13bcf_row7_col8\" class=\"data row7 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row7_col9\" class=\"data row7 col9\" >01100010</td>\n",
              "      <td id=\"T_13bcf_row7_col10\" class=\"data row7 col10\" >-22.130000</td>\n",
              "      <td id=\"T_13bcf_row7_col11\" class=\"data row7 col11\" >0.890000</td>\n",
              "      <td id=\"T_13bcf_row7_col12\" class=\"data row7 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row7_col13\" class=\"data row7 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row8\" class=\"row_heading level0 row8\" >161</th>\n",
              "      <td id=\"T_13bcf_row8_col0\" class=\"data row8 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row8_col1\" class=\"data row8 col1\" >9</td>\n",
              "      <td id=\"T_13bcf_row8_col2\" class=\"data row8 col2\" >100111010</td>\n",
              "      <td id=\"T_13bcf_row8_col3\" class=\"data row8 col3\" >-31.140000</td>\n",
              "      <td id=\"T_13bcf_row8_col4\" class=\"data row8 col4\" >0.020000</td>\n",
              "      <td id=\"T_13bcf_row8_col5\" class=\"data row8 col5\" >011000101</td>\n",
              "      <td id=\"T_13bcf_row8_col6\" class=\"data row8 col6\" >-31.140000</td>\n",
              "      <td id=\"T_13bcf_row8_col7\" class=\"data row8 col7\" >0.090000</td>\n",
              "      <td id=\"T_13bcf_row8_col8\" class=\"data row8 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row8_col9\" class=\"data row8 col9\" >100111010</td>\n",
              "      <td id=\"T_13bcf_row8_col10\" class=\"data row8 col10\" >-31.140000</td>\n",
              "      <td id=\"T_13bcf_row8_col11\" class=\"data row8 col11\" >1.540000</td>\n",
              "      <td id=\"T_13bcf_row8_col12\" class=\"data row8 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row8_col13\" class=\"data row8 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row9\" class=\"row_heading level0 row9\" >162</th>\n",
              "      <td id=\"T_13bcf_row9_col0\" class=\"data row9 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row9_col1\" class=\"data row9 col1\" >10</td>\n",
              "      <td id=\"T_13bcf_row9_col2\" class=\"data row9 col2\" >0001101000</td>\n",
              "      <td id=\"T_13bcf_row9_col3\" class=\"data row9 col3\" >-42.570000</td>\n",
              "      <td id=\"T_13bcf_row9_col4\" class=\"data row9 col4\" >0.040000</td>\n",
              "      <td id=\"T_13bcf_row9_col5\" class=\"data row9 col5\" >1110010111</td>\n",
              "      <td id=\"T_13bcf_row9_col6\" class=\"data row9 col6\" >-42.570000</td>\n",
              "      <td id=\"T_13bcf_row9_col7\" class=\"data row9 col7\" >0.160000</td>\n",
              "      <td id=\"T_13bcf_row9_col8\" class=\"data row9 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row9_col9\" class=\"data row9 col9\" >1110010111</td>\n",
              "      <td id=\"T_13bcf_row9_col10\" class=\"data row9 col10\" >-42.570000</td>\n",
              "      <td id=\"T_13bcf_row9_col11\" class=\"data row9 col11\" >2.350000</td>\n",
              "      <td id=\"T_13bcf_row9_col12\" class=\"data row9 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row9_col13\" class=\"data row9 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row10\" class=\"row_heading level0 row10\" >163</th>\n",
              "      <td id=\"T_13bcf_row10_col0\" class=\"data row10 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row10_col1\" class=\"data row10 col1\" >11</td>\n",
              "      <td id=\"T_13bcf_row10_col2\" class=\"data row10 col2\" >00111110110</td>\n",
              "      <td id=\"T_13bcf_row10_col3\" class=\"data row10 col3\" >-44.440000</td>\n",
              "      <td id=\"T_13bcf_row10_col4\" class=\"data row10 col4\" >0.100000</td>\n",
              "      <td id=\"T_13bcf_row10_col5\" class=\"data row10 col5\" >00111110110</td>\n",
              "      <td id=\"T_13bcf_row10_col6\" class=\"data row10 col6\" >-44.440000</td>\n",
              "      <td id=\"T_13bcf_row10_col7\" class=\"data row10 col7\" >0.200000</td>\n",
              "      <td id=\"T_13bcf_row10_col8\" class=\"data row10 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row10_col9\" class=\"data row10 col9\" >00111110110</td>\n",
              "      <td id=\"T_13bcf_row10_col10\" class=\"data row10 col10\" >-44.440000</td>\n",
              "      <td id=\"T_13bcf_row10_col11\" class=\"data row10 col11\" >3.600000</td>\n",
              "      <td id=\"T_13bcf_row10_col12\" class=\"data row10 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row10_col13\" class=\"data row10 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row11\" class=\"row_heading level0 row11\" >164</th>\n",
              "      <td id=\"T_13bcf_row11_col0\" class=\"data row11 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row11_col1\" class=\"data row11 col1\" >12</td>\n",
              "      <td id=\"T_13bcf_row11_col2\" class=\"data row11 col2\" >100011011110</td>\n",
              "      <td id=\"T_13bcf_row11_col3\" class=\"data row11 col3\" >-48.250000</td>\n",
              "      <td id=\"T_13bcf_row11_col4\" class=\"data row11 col4\" >0.240000</td>\n",
              "      <td id=\"T_13bcf_row11_col5\" class=\"data row11 col5\" >011100100001</td>\n",
              "      <td id=\"T_13bcf_row11_col6\" class=\"data row11 col6\" >-48.250000</td>\n",
              "      <td id=\"T_13bcf_row11_col7\" class=\"data row11 col7\" >0.300000</td>\n",
              "      <td id=\"T_13bcf_row11_col8\" class=\"data row11 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row11_col9\" class=\"data row11 col9\" >011100100101</td>\n",
              "      <td id=\"T_13bcf_row11_col10\" class=\"data row11 col10\" >-44.340000</td>\n",
              "      <td id=\"T_13bcf_row11_col11\" class=\"data row11 col11\" >4.810000</td>\n",
              "      <td id=\"T_13bcf_row11_col12\" class=\"data row11 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row11_col13\" class=\"data row11 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row12\" class=\"row_heading level0 row12\" >165</th>\n",
              "      <td id=\"T_13bcf_row12_col0\" class=\"data row12 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row12_col1\" class=\"data row12 col1\" >12</td>\n",
              "      <td id=\"T_13bcf_row12_col2\" class=\"data row12 col2\" >100011011110</td>\n",
              "      <td id=\"T_13bcf_row12_col3\" class=\"data row12 col3\" >-48.250000</td>\n",
              "      <td id=\"T_13bcf_row12_col4\" class=\"data row12 col4\" >0.240000</td>\n",
              "      <td id=\"T_13bcf_row12_col5\" class=\"data row12 col5\" >011100100001</td>\n",
              "      <td id=\"T_13bcf_row12_col6\" class=\"data row12 col6\" >-48.250000</td>\n",
              "      <td id=\"T_13bcf_row12_col7\" class=\"data row12 col7\" >0.300000</td>\n",
              "      <td id=\"T_13bcf_row12_col8\" class=\"data row12 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row12_col9\" class=\"data row12 col9\" >001110000001</td>\n",
              "      <td id=\"T_13bcf_row12_col10\" class=\"data row12 col10\" >-35.760000</td>\n",
              "      <td id=\"T_13bcf_row12_col11\" class=\"data row12 col11\" >7.100000</td>\n",
              "      <td id=\"T_13bcf_row12_col12\" class=\"data row12 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row12_col13\" class=\"data row12 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row13\" class=\"row_heading level0 row13\" >166</th>\n",
              "      <td id=\"T_13bcf_row13_col0\" class=\"data row13 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row13_col1\" class=\"data row13 col1\" >12</td>\n",
              "      <td id=\"T_13bcf_row13_col2\" class=\"data row13 col2\" >100011011110</td>\n",
              "      <td id=\"T_13bcf_row13_col3\" class=\"data row13 col3\" >-48.250000</td>\n",
              "      <td id=\"T_13bcf_row13_col4\" class=\"data row13 col4\" >0.240000</td>\n",
              "      <td id=\"T_13bcf_row13_col5\" class=\"data row13 col5\" >011100100001</td>\n",
              "      <td id=\"T_13bcf_row13_col6\" class=\"data row13 col6\" >-48.250000</td>\n",
              "      <td id=\"T_13bcf_row13_col7\" class=\"data row13 col7\" >0.300000</td>\n",
              "      <td id=\"T_13bcf_row13_col8\" class=\"data row13 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row13_col9\" class=\"data row13 col9\" >110001111110</td>\n",
              "      <td id=\"T_13bcf_row13_col10\" class=\"data row13 col10\" >-35.760000</td>\n",
              "      <td id=\"T_13bcf_row13_col11\" class=\"data row13 col11\" >9.250000</td>\n",
              "      <td id=\"T_13bcf_row13_col12\" class=\"data row13 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row13_col13\" class=\"data row13 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row14\" class=\"row_heading level0 row14\" >167</th>\n",
              "      <td id=\"T_13bcf_row14_col0\" class=\"data row14 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row14_col1\" class=\"data row14 col1\" >12</td>\n",
              "      <td id=\"T_13bcf_row14_col2\" class=\"data row14 col2\" >100011011110</td>\n",
              "      <td id=\"T_13bcf_row14_col3\" class=\"data row14 col3\" >-48.250000</td>\n",
              "      <td id=\"T_13bcf_row14_col4\" class=\"data row14 col4\" >0.240000</td>\n",
              "      <td id=\"T_13bcf_row14_col5\" class=\"data row14 col5\" >011100100001</td>\n",
              "      <td id=\"T_13bcf_row14_col6\" class=\"data row14 col6\" >-48.250000</td>\n",
              "      <td id=\"T_13bcf_row14_col7\" class=\"data row14 col7\" >0.300000</td>\n",
              "      <td id=\"T_13bcf_row14_col8\" class=\"data row14 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row14_col9\" class=\"data row14 col9\" >100011011110</td>\n",
              "      <td id=\"T_13bcf_row14_col10\" class=\"data row14 col10\" >-48.250000</td>\n",
              "      <td id=\"T_13bcf_row14_col11\" class=\"data row14 col11\" >11.840000</td>\n",
              "      <td id=\"T_13bcf_row14_col12\" class=\"data row14 col12\" >4</td>\n",
              "      <td id=\"T_13bcf_row14_col13\" class=\"data row14 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row15\" class=\"row_heading level0 row15\" >168</th>\n",
              "      <td id=\"T_13bcf_row15_col0\" class=\"data row15 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row15_col1\" class=\"data row15 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row15_col2\" class=\"data row15 col2\" >0011101001110</td>\n",
              "      <td id=\"T_13bcf_row15_col3\" class=\"data row15 col3\" >-62.790000</td>\n",
              "      <td id=\"T_13bcf_row15_col4\" class=\"data row15 col4\" >0.520000</td>\n",
              "      <td id=\"T_13bcf_row15_col5\" class=\"data row15 col5\" >0011101001110</td>\n",
              "      <td id=\"T_13bcf_row15_col6\" class=\"data row15 col6\" >-62.790000</td>\n",
              "      <td id=\"T_13bcf_row15_col7\" class=\"data row15 col7\" >0.560000</td>\n",
              "      <td id=\"T_13bcf_row15_col8\" class=\"data row15 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row15_col9\" class=\"data row15 col9\" >1100010110001</td>\n",
              "      <td id=\"T_13bcf_row15_col10\" class=\"data row15 col10\" >-62.790000</td>\n",
              "      <td id=\"T_13bcf_row15_col11\" class=\"data row15 col11\" >6.050000</td>\n",
              "      <td id=\"T_13bcf_row15_col12\" class=\"data row15 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row15_col13\" class=\"data row15 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row16\" class=\"row_heading level0 row16\" >254</th>\n",
              "      <td id=\"T_13bcf_row16_col0\" class=\"data row16 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row16_col1\" class=\"data row16 col1\" >14</td>\n",
              "      <td id=\"T_13bcf_row16_col2\" class=\"data row16 col2\" >01011010101010</td>\n",
              "      <td id=\"T_13bcf_row16_col3\" class=\"data row16 col3\" >-79.180000</td>\n",
              "      <td id=\"T_13bcf_row16_col4\" class=\"data row16 col4\" >1.220000</td>\n",
              "      <td id=\"T_13bcf_row16_col5\" class=\"data row16 col5\" >01011010101010</td>\n",
              "      <td id=\"T_13bcf_row16_col6\" class=\"data row16 col6\" >-79.180000</td>\n",
              "      <td id=\"T_13bcf_row16_col7\" class=\"data row16 col7\" >1.140000</td>\n",
              "      <td id=\"T_13bcf_row16_col8\" class=\"data row16 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row16_col9\" class=\"data row16 col9\" >11100001011100</td>\n",
              "      <td id=\"T_13bcf_row16_col10\" class=\"data row16 col10\" >-76.420000</td>\n",
              "      <td id=\"T_13bcf_row16_col11\" class=\"data row16 col11\" >8.340000</td>\n",
              "      <td id=\"T_13bcf_row16_col12\" class=\"data row16 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row16_col13\" class=\"data row16 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row17\" class=\"row_heading level0 row17\" >169</th>\n",
              "      <td id=\"T_13bcf_row17_col0\" class=\"data row17 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row17_col1\" class=\"data row17 col1\" >14</td>\n",
              "      <td id=\"T_13bcf_row17_col2\" class=\"data row17 col2\" >01011010101010</td>\n",
              "      <td id=\"T_13bcf_row17_col3\" class=\"data row17 col3\" >-79.180000</td>\n",
              "      <td id=\"T_13bcf_row17_col4\" class=\"data row17 col4\" >1.220000</td>\n",
              "      <td id=\"T_13bcf_row17_col5\" class=\"data row17 col5\" >01011010101010</td>\n",
              "      <td id=\"T_13bcf_row17_col6\" class=\"data row17 col6\" >-79.180000</td>\n",
              "      <td id=\"T_13bcf_row17_col7\" class=\"data row17 col7\" >1.650000</td>\n",
              "      <td id=\"T_13bcf_row17_col8\" class=\"data row17 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row17_col9\" class=\"data row17 col9\" >00011110100011</td>\n",
              "      <td id=\"T_13bcf_row17_col10\" class=\"data row17 col10\" >-76.420000</td>\n",
              "      <td id=\"T_13bcf_row17_col11\" class=\"data row17 col11\" >10.860000</td>\n",
              "      <td id=\"T_13bcf_row17_col12\" class=\"data row17 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row17_col13\" class=\"data row17 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row18\" class=\"row_heading level0 row18\" >170</th>\n",
              "      <td id=\"T_13bcf_row18_col0\" class=\"data row18 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row18_col1\" class=\"data row18 col1\" >14</td>\n",
              "      <td id=\"T_13bcf_row18_col2\" class=\"data row18 col2\" >01011010101010</td>\n",
              "      <td id=\"T_13bcf_row18_col3\" class=\"data row18 col3\" >-79.180000</td>\n",
              "      <td id=\"T_13bcf_row18_col4\" class=\"data row18 col4\" >1.220000</td>\n",
              "      <td id=\"T_13bcf_row18_col5\" class=\"data row18 col5\" >01011010101010</td>\n",
              "      <td id=\"T_13bcf_row18_col6\" class=\"data row18 col6\" >-79.180000</td>\n",
              "      <td id=\"T_13bcf_row18_col7\" class=\"data row18 col7\" >1.650000</td>\n",
              "      <td id=\"T_13bcf_row18_col8\" class=\"data row18 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row18_col9\" class=\"data row18 col9\" >10100101010101</td>\n",
              "      <td id=\"T_13bcf_row18_col10\" class=\"data row18 col10\" >-79.180000</td>\n",
              "      <td id=\"T_13bcf_row18_col11\" class=\"data row18 col11\" >18.700000</td>\n",
              "      <td id=\"T_13bcf_row18_col12\" class=\"data row18 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row18_col13\" class=\"data row18 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row19\" class=\"row_heading level0 row19\" >171</th>\n",
              "      <td id=\"T_13bcf_row19_col0\" class=\"data row19 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row19_col1\" class=\"data row19 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row19_col2\" class=\"data row19 col2\" >110101010000100</td>\n",
              "      <td id=\"T_13bcf_row19_col3\" class=\"data row19 col3\" >-95.170000</td>\n",
              "      <td id=\"T_13bcf_row19_col4\" class=\"data row19 col4\" >2.710000</td>\n",
              "      <td id=\"T_13bcf_row19_col5\" class=\"data row19 col5\" >001010101111011</td>\n",
              "      <td id=\"T_13bcf_row19_col6\" class=\"data row19 col6\" >-95.170000</td>\n",
              "      <td id=\"T_13bcf_row19_col7\" class=\"data row19 col7\" >2.330000</td>\n",
              "      <td id=\"T_13bcf_row19_col8\" class=\"data row19 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row19_col9\" class=\"data row19 col9\" >100111010010100</td>\n",
              "      <td id=\"T_13bcf_row19_col10\" class=\"data row19 col10\" >-76.000000</td>\n",
              "      <td id=\"T_13bcf_row19_col11\" class=\"data row19 col11\" >9.230000</td>\n",
              "      <td id=\"T_13bcf_row19_col12\" class=\"data row19 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row19_col13\" class=\"data row19 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row20\" class=\"row_heading level0 row20\" >172</th>\n",
              "      <td id=\"T_13bcf_row20_col0\" class=\"data row20 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row20_col1\" class=\"data row20 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row20_col2\" class=\"data row20 col2\" >110101010000100</td>\n",
              "      <td id=\"T_13bcf_row20_col3\" class=\"data row20 col3\" >-95.170000</td>\n",
              "      <td id=\"T_13bcf_row20_col4\" class=\"data row20 col4\" >2.710000</td>\n",
              "      <td id=\"T_13bcf_row20_col5\" class=\"data row20 col5\" >001010101111011</td>\n",
              "      <td id=\"T_13bcf_row20_col6\" class=\"data row20 col6\" >-95.170000</td>\n",
              "      <td id=\"T_13bcf_row20_col7\" class=\"data row20 col7\" >2.330000</td>\n",
              "      <td id=\"T_13bcf_row20_col8\" class=\"data row20 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row20_col9\" class=\"data row20 col9\" >001010100111011</td>\n",
              "      <td id=\"T_13bcf_row20_col10\" class=\"data row20 col10\" >-80.230000</td>\n",
              "      <td id=\"T_13bcf_row20_col11\" class=\"data row20 col11\" >12.900000</td>\n",
              "      <td id=\"T_13bcf_row20_col12\" class=\"data row20 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row20_col13\" class=\"data row20 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row21\" class=\"row_heading level0 row21\" >173</th>\n",
              "      <td id=\"T_13bcf_row21_col0\" class=\"data row21 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row21_col1\" class=\"data row21 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row21_col2\" class=\"data row21 col2\" >110101010000100</td>\n",
              "      <td id=\"T_13bcf_row21_col3\" class=\"data row21 col3\" >-95.170000</td>\n",
              "      <td id=\"T_13bcf_row21_col4\" class=\"data row21 col4\" >2.710000</td>\n",
              "      <td id=\"T_13bcf_row21_col5\" class=\"data row21 col5\" >001010101111011</td>\n",
              "      <td id=\"T_13bcf_row21_col6\" class=\"data row21 col6\" >-95.170000</td>\n",
              "      <td id=\"T_13bcf_row21_col7\" class=\"data row21 col7\" >2.330000</td>\n",
              "      <td id=\"T_13bcf_row21_col8\" class=\"data row21 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row21_col9\" class=\"data row21 col9\" >001000101111011</td>\n",
              "      <td id=\"T_13bcf_row21_col10\" class=\"data row21 col10\" >-82.110000</td>\n",
              "      <td id=\"T_13bcf_row21_col11\" class=\"data row21 col11\" >17.630000</td>\n",
              "      <td id=\"T_13bcf_row21_col12\" class=\"data row21 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row21_col13\" class=\"data row21 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row22\" class=\"row_heading level0 row22\" >174</th>\n",
              "      <td id=\"T_13bcf_row22_col0\" class=\"data row22 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row22_col1\" class=\"data row22 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row22_col2\" class=\"data row22 col2\" >110101010000100</td>\n",
              "      <td id=\"T_13bcf_row22_col3\" class=\"data row22 col3\" >-95.170000</td>\n",
              "      <td id=\"T_13bcf_row22_col4\" class=\"data row22 col4\" >2.710000</td>\n",
              "      <td id=\"T_13bcf_row22_col5\" class=\"data row22 col5\" >001010101111011</td>\n",
              "      <td id=\"T_13bcf_row22_col6\" class=\"data row22 col6\" >-95.170000</td>\n",
              "      <td id=\"T_13bcf_row22_col7\" class=\"data row22 col7\" >2.330000</td>\n",
              "      <td id=\"T_13bcf_row22_col8\" class=\"data row22 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row22_col9\" class=\"data row22 col9\" >001010101111011</td>\n",
              "      <td id=\"T_13bcf_row22_col10\" class=\"data row22 col10\" >-95.170000</td>\n",
              "      <td id=\"T_13bcf_row22_col11\" class=\"data row22 col11\" >22.980000</td>\n",
              "      <td id=\"T_13bcf_row22_col12\" class=\"data row22 col12\" >4</td>\n",
              "      <td id=\"T_13bcf_row22_col13\" class=\"data row22 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row23\" class=\"row_heading level0 row23\" >175</th>\n",
              "      <td id=\"T_13bcf_row23_col0\" class=\"data row23 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row23_col1\" class=\"data row23 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row23_col2\" class=\"data row23 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row23_col3\" class=\"data row23 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row23_col4\" class=\"data row23 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row23_col5\" class=\"data row23 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row23_col6\" class=\"data row23 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row23_col7\" class=\"data row23 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row23_col8\" class=\"data row23 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row23_col9\" class=\"data row23 col9\" >1111001111010001</td>\n",
              "      <td id=\"T_13bcf_row23_col10\" class=\"data row23 col10\" >-82.300000</td>\n",
              "      <td id=\"T_13bcf_row23_col11\" class=\"data row23 col11\" >9.890000</td>\n",
              "      <td id=\"T_13bcf_row23_col12\" class=\"data row23 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row23_col13\" class=\"data row23 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row24\" class=\"row_heading level0 row24\" >176</th>\n",
              "      <td id=\"T_13bcf_row24_col0\" class=\"data row24 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row24_col1\" class=\"data row24 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row24_col2\" class=\"data row24 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row24_col3\" class=\"data row24 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row24_col4\" class=\"data row24 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row24_col5\" class=\"data row24 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row24_col6\" class=\"data row24 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row24_col7\" class=\"data row24 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row24_col8\" class=\"data row24 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row24_col9\" class=\"data row24 col9\" >1110010100101011</td>\n",
              "      <td id=\"T_13bcf_row24_col10\" class=\"data row24 col10\" >-75.900000</td>\n",
              "      <td id=\"T_13bcf_row24_col11\" class=\"data row24 col11\" >15.470000</td>\n",
              "      <td id=\"T_13bcf_row24_col12\" class=\"data row24 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row24_col13\" class=\"data row24 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row25\" class=\"row_heading level0 row25\" >177</th>\n",
              "      <td id=\"T_13bcf_row25_col0\" class=\"data row25 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row25_col1\" class=\"data row25 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row25_col2\" class=\"data row25 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row25_col3\" class=\"data row25 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row25_col4\" class=\"data row25 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row25_col5\" class=\"data row25 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row25_col6\" class=\"data row25 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row25_col7\" class=\"data row25 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row25_col8\" class=\"data row25 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row25_col9\" class=\"data row25 col9\" >1110010110001100</td>\n",
              "      <td id=\"T_13bcf_row25_col10\" class=\"data row25 col10\" >-87.380000</td>\n",
              "      <td id=\"T_13bcf_row25_col11\" class=\"data row25 col11\" >28.080000</td>\n",
              "      <td id=\"T_13bcf_row25_col12\" class=\"data row25 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row25_col13\" class=\"data row25 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row26\" class=\"row_heading level0 row26\" >178</th>\n",
              "      <td id=\"T_13bcf_row26_col0\" class=\"data row26 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row26_col1\" class=\"data row26 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row26_col2\" class=\"data row26 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row26_col3\" class=\"data row26 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row26_col4\" class=\"data row26 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row26_col5\" class=\"data row26 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row26_col6\" class=\"data row26 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row26_col7\" class=\"data row26 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row26_col8\" class=\"data row26 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row26_col9\" class=\"data row26 col9\" >0011011000010100</td>\n",
              "      <td id=\"T_13bcf_row26_col10\" class=\"data row26 col10\" >-85.910000</td>\n",
              "      <td id=\"T_13bcf_row26_col11\" class=\"data row26 col11\" >26.960000</td>\n",
              "      <td id=\"T_13bcf_row26_col12\" class=\"data row26 col12\" >4</td>\n",
              "      <td id=\"T_13bcf_row26_col13\" class=\"data row26 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row27\" class=\"row_heading level0 row27\" >179</th>\n",
              "      <td id=\"T_13bcf_row27_col0\" class=\"data row27 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row27_col1\" class=\"data row27 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row27_col2\" class=\"data row27 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row27_col3\" class=\"data row27 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row27_col4\" class=\"data row27 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row27_col5\" class=\"data row27 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row27_col6\" class=\"data row27 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row27_col7\" class=\"data row27 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row27_col8\" class=\"data row27 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row27_col9\" class=\"data row27 col9\" >0010010000111100</td>\n",
              "      <td id=\"T_13bcf_row27_col10\" class=\"data row27 col10\" >-86.490000</td>\n",
              "      <td id=\"T_13bcf_row27_col11\" class=\"data row27 col11\" >33.130000</td>\n",
              "      <td id=\"T_13bcf_row27_col12\" class=\"data row27 col12\" >5</td>\n",
              "      <td id=\"T_13bcf_row27_col13\" class=\"data row27 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row28\" class=\"row_heading level0 row28\" >180</th>\n",
              "      <td id=\"T_13bcf_row28_col0\" class=\"data row28 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row28_col1\" class=\"data row28 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row28_col2\" class=\"data row28 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row28_col3\" class=\"data row28 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row28_col4\" class=\"data row28 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row28_col5\" class=\"data row28 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row28_col6\" class=\"data row28 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row28_col7\" class=\"data row28 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row28_col8\" class=\"data row28 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row28_col9\" class=\"data row28 col9\" >0111001000110100</td>\n",
              "      <td id=\"T_13bcf_row28_col10\" class=\"data row28 col10\" >-79.880000</td>\n",
              "      <td id=\"T_13bcf_row28_col11\" class=\"data row28 col11\" >39.030000</td>\n",
              "      <td id=\"T_13bcf_row28_col12\" class=\"data row28 col12\" >6</td>\n",
              "      <td id=\"T_13bcf_row28_col13\" class=\"data row28 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row29\" class=\"row_heading level0 row29\" >181</th>\n",
              "      <td id=\"T_13bcf_row29_col0\" class=\"data row29 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row29_col1\" class=\"data row29 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row29_col2\" class=\"data row29 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row29_col3\" class=\"data row29 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row29_col4\" class=\"data row29 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row29_col5\" class=\"data row29 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row29_col6\" class=\"data row29 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row29_col7\" class=\"data row29 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row29_col8\" class=\"data row29 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row29_col9\" class=\"data row29 col9\" >0001101001010011</td>\n",
              "      <td id=\"T_13bcf_row29_col10\" class=\"data row29 col10\" >-96.580000</td>\n",
              "      <td id=\"T_13bcf_row29_col11\" class=\"data row29 col11\" >114.240000</td>\n",
              "      <td id=\"T_13bcf_row29_col12\" class=\"data row29 col12\" >7</td>\n",
              "      <td id=\"T_13bcf_row29_col13\" class=\"data row29 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row30\" class=\"row_heading level0 row30\" >182</th>\n",
              "      <td id=\"T_13bcf_row30_col0\" class=\"data row30 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row30_col1\" class=\"data row30 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row30_col2\" class=\"data row30 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row30_col3\" class=\"data row30 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row30_col4\" class=\"data row30 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row30_col5\" class=\"data row30 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row30_col6\" class=\"data row30 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row30_col7\" class=\"data row30 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row30_col8\" class=\"data row30 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row30_col9\" class=\"data row30 col9\" >0001101001010011</td>\n",
              "      <td id=\"T_13bcf_row30_col10\" class=\"data row30 col10\" >-96.580000</td>\n",
              "      <td id=\"T_13bcf_row30_col11\" class=\"data row30 col11\" >51.820000</td>\n",
              "      <td id=\"T_13bcf_row30_col12\" class=\"data row30 col12\" >8</td>\n",
              "      <td id=\"T_13bcf_row30_col13\" class=\"data row30 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row31\" class=\"row_heading level0 row31\" >183</th>\n",
              "      <td id=\"T_13bcf_row31_col0\" class=\"data row31 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row31_col1\" class=\"data row31 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row31_col2\" class=\"data row31 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row31_col3\" class=\"data row31 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row31_col4\" class=\"data row31 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row31_col5\" class=\"data row31 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row31_col6\" class=\"data row31 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row31_col7\" class=\"data row31 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row31_col8\" class=\"data row31 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row31_col9\" class=\"data row31 col9\" >0010010000111100</td>\n",
              "      <td id=\"T_13bcf_row31_col10\" class=\"data row31 col10\" >-86.490000</td>\n",
              "      <td id=\"T_13bcf_row31_col11\" class=\"data row31 col11\" >65.500000</td>\n",
              "      <td id=\"T_13bcf_row31_col12\" class=\"data row31 col12\" >9</td>\n",
              "      <td id=\"T_13bcf_row31_col13\" class=\"data row31 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row32\" class=\"row_heading level0 row32\" >184</th>\n",
              "      <td id=\"T_13bcf_row32_col0\" class=\"data row32 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row32_col1\" class=\"data row32 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row32_col2\" class=\"data row32 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row32_col3\" class=\"data row32 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row32_col4\" class=\"data row32 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row32_col5\" class=\"data row32 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row32_col6\" class=\"data row32 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row32_col7\" class=\"data row32 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row32_col8\" class=\"data row32 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row32_col9\" class=\"data row32 col9\" >1110010000001100</td>\n",
              "      <td id=\"T_13bcf_row32_col10\" class=\"data row32 col10\" >-84.630000</td>\n",
              "      <td id=\"T_13bcf_row32_col11\" class=\"data row32 col11\" >67.650000</td>\n",
              "      <td id=\"T_13bcf_row32_col12\" class=\"data row32 col12\" >10</td>\n",
              "      <td id=\"T_13bcf_row32_col13\" class=\"data row32 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row33\" class=\"row_heading level0 row33\" >185</th>\n",
              "      <td id=\"T_13bcf_row33_col0\" class=\"data row33 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row33_col1\" class=\"data row33 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row33_col2\" class=\"data row33 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row33_col3\" class=\"data row33 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row33_col4\" class=\"data row33 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row33_col5\" class=\"data row33 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row33_col6\" class=\"data row33 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row33_col7\" class=\"data row33 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row33_col8\" class=\"data row33 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row33_col9\" class=\"data row33 col9\" >0110011000111100</td>\n",
              "      <td id=\"T_13bcf_row33_col10\" class=\"data row33 col10\" >-82.750000</td>\n",
              "      <td id=\"T_13bcf_row33_col11\" class=\"data row33 col11\" >168.130000</td>\n",
              "      <td id=\"T_13bcf_row33_col12\" class=\"data row33 col12\" >11</td>\n",
              "      <td id=\"T_13bcf_row33_col13\" class=\"data row33 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row34\" class=\"row_heading level0 row34\" >186</th>\n",
              "      <td id=\"T_13bcf_row34_col0\" class=\"data row34 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row34_col1\" class=\"data row34 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row34_col2\" class=\"data row34 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row34_col3\" class=\"data row34 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row34_col4\" class=\"data row34 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row34_col5\" class=\"data row34 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row34_col6\" class=\"data row34 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row34_col7\" class=\"data row34 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row34_col8\" class=\"data row34 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row34_col9\" class=\"data row34 col9\" >0010110000101110</td>\n",
              "      <td id=\"T_13bcf_row34_col10\" class=\"data row34 col10\" >-86.310000</td>\n",
              "      <td id=\"T_13bcf_row34_col11\" class=\"data row34 col11\" >78.380000</td>\n",
              "      <td id=\"T_13bcf_row34_col12\" class=\"data row34 col12\" >12</td>\n",
              "      <td id=\"T_13bcf_row34_col13\" class=\"data row34 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row35\" class=\"row_heading level0 row35\" >187</th>\n",
              "      <td id=\"T_13bcf_row35_col0\" class=\"data row35 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row35_col1\" class=\"data row35 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row35_col2\" class=\"data row35 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row35_col3\" class=\"data row35 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row35_col4\" class=\"data row35 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row35_col5\" class=\"data row35 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row35_col6\" class=\"data row35 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row35_col7\" class=\"data row35 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row35_col8\" class=\"data row35 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row35_col9\" class=\"data row35 col9\" >1110010010111100</td>\n",
              "      <td id=\"T_13bcf_row35_col10\" class=\"data row35 col10\" >-92.840000</td>\n",
              "      <td id=\"T_13bcf_row35_col11\" class=\"data row35 col11\" >193.130000</td>\n",
              "      <td id=\"T_13bcf_row35_col12\" class=\"data row35 col12\" >13</td>\n",
              "      <td id=\"T_13bcf_row35_col13\" class=\"data row35 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row36\" class=\"row_heading level0 row36\" >188</th>\n",
              "      <td id=\"T_13bcf_row36_col0\" class=\"data row36 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row36_col1\" class=\"data row36 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row36_col2\" class=\"data row36 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row36_col3\" class=\"data row36 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row36_col4\" class=\"data row36 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row36_col5\" class=\"data row36 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row36_col6\" class=\"data row36 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row36_col7\" class=\"data row36 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row36_col8\" class=\"data row36 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row36_col9\" class=\"data row36 col9\" >0011001000010100</td>\n",
              "      <td id=\"T_13bcf_row36_col10\" class=\"data row36 col10\" >-94.010000</td>\n",
              "      <td id=\"T_13bcf_row36_col11\" class=\"data row36 col11\" >101.480000</td>\n",
              "      <td id=\"T_13bcf_row36_col12\" class=\"data row36 col12\" >14</td>\n",
              "      <td id=\"T_13bcf_row36_col13\" class=\"data row36 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row37\" class=\"row_heading level0 row37\" >189</th>\n",
              "      <td id=\"T_13bcf_row37_col0\" class=\"data row37 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row37_col1\" class=\"data row37 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row37_col2\" class=\"data row37 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row37_col3\" class=\"data row37 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row37_col4\" class=\"data row37 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row37_col5\" class=\"data row37 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row37_col6\" class=\"data row37 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row37_col7\" class=\"data row37 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row37_col8\" class=\"data row37 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row37_col9\" class=\"data row37 col9\" >0111001000010100</td>\n",
              "      <td id=\"T_13bcf_row37_col10\" class=\"data row37 col10\" >-93.220000</td>\n",
              "      <td id=\"T_13bcf_row37_col11\" class=\"data row37 col11\" >101.020000</td>\n",
              "      <td id=\"T_13bcf_row37_col12\" class=\"data row37 col12\" >15</td>\n",
              "      <td id=\"T_13bcf_row37_col13\" class=\"data row37 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row38\" class=\"row_heading level0 row38\" >190</th>\n",
              "      <td id=\"T_13bcf_row38_col0\" class=\"data row38 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row38_col1\" class=\"data row38 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row38_col2\" class=\"data row38 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row38_col3\" class=\"data row38 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row38_col4\" class=\"data row38 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row38_col5\" class=\"data row38 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row38_col6\" class=\"data row38 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row38_col7\" class=\"data row38 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row38_col8\" class=\"data row38 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row38_col9\" class=\"data row38 col9\" >0011010001111100</td>\n",
              "      <td id=\"T_13bcf_row38_col10\" class=\"data row38 col10\" >-79.690000</td>\n",
              "      <td id=\"T_13bcf_row38_col11\" class=\"data row38 col11\" >115.320000</td>\n",
              "      <td id=\"T_13bcf_row38_col12\" class=\"data row38 col12\" >16</td>\n",
              "      <td id=\"T_13bcf_row38_col13\" class=\"data row38 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row39\" class=\"row_heading level0 row39\" >191</th>\n",
              "      <td id=\"T_13bcf_row39_col0\" class=\"data row39 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row39_col1\" class=\"data row39 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row39_col2\" class=\"data row39 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row39_col3\" class=\"data row39 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row39_col4\" class=\"data row39 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row39_col5\" class=\"data row39 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row39_col6\" class=\"data row39 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row39_col7\" class=\"data row39 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row39_col8\" class=\"data row39 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row39_col9\" class=\"data row39 col9\" >1100100111101011</td>\n",
              "      <td id=\"T_13bcf_row39_col10\" class=\"data row39 col10\" >-85.910000</td>\n",
              "      <td id=\"T_13bcf_row39_col11\" class=\"data row39 col11\" >116.170000</td>\n",
              "      <td id=\"T_13bcf_row39_col12\" class=\"data row39 col12\" >17</td>\n",
              "      <td id=\"T_13bcf_row39_col13\" class=\"data row39 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row40\" class=\"row_heading level0 row40\" >192</th>\n",
              "      <td id=\"T_13bcf_row40_col0\" class=\"data row40 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row40_col1\" class=\"data row40 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row40_col2\" class=\"data row40 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row40_col3\" class=\"data row40 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row40_col4\" class=\"data row40 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row40_col5\" class=\"data row40 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row40_col6\" class=\"data row40 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row40_col7\" class=\"data row40 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row40_col8\" class=\"data row40 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row40_col9\" class=\"data row40 col9\" >0011011000101110</td>\n",
              "      <td id=\"T_13bcf_row40_col10\" class=\"data row40 col10\" >-85.200000</td>\n",
              "      <td id=\"T_13bcf_row40_col11\" class=\"data row40 col11\" >131.880000</td>\n",
              "      <td id=\"T_13bcf_row40_col12\" class=\"data row40 col12\" >18</td>\n",
              "      <td id=\"T_13bcf_row40_col13\" class=\"data row40 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row41\" class=\"row_heading level0 row41\" >193</th>\n",
              "      <td id=\"T_13bcf_row41_col0\" class=\"data row41 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row41_col1\" class=\"data row41 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row41_col2\" class=\"data row41 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row41_col3\" class=\"data row41 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row41_col4\" class=\"data row41 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row41_col5\" class=\"data row41 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row41_col6\" class=\"data row41 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row41_col7\" class=\"data row41 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row41_col8\" class=\"data row41 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row41_col9\" class=\"data row41 col9\" >0011011000010110</td>\n",
              "      <td id=\"T_13bcf_row41_col10\" class=\"data row41 col10\" >-78.960000</td>\n",
              "      <td id=\"T_13bcf_row41_col11\" class=\"data row41 col11\" >138.390000</td>\n",
              "      <td id=\"T_13bcf_row41_col12\" class=\"data row41 col12\" >19</td>\n",
              "      <td id=\"T_13bcf_row41_col13\" class=\"data row41 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row42\" class=\"row_heading level0 row42\" >194</th>\n",
              "      <td id=\"T_13bcf_row42_col0\" class=\"data row42 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row42_col1\" class=\"data row42 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row42_col2\" class=\"data row42 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row42_col3\" class=\"data row42 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row42_col4\" class=\"data row42 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row42_col5\" class=\"data row42 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row42_col6\" class=\"data row42 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row42_col7\" class=\"data row42 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row42_col8\" class=\"data row42 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row42_col9\" class=\"data row42 col9\" >1110100111111011</td>\n",
              "      <td id=\"T_13bcf_row42_col10\" class=\"data row42 col10\" >-76.850000</td>\n",
              "      <td id=\"T_13bcf_row42_col11\" class=\"data row42 col11\" >299.860000</td>\n",
              "      <td id=\"T_13bcf_row42_col12\" class=\"data row42 col12\" >20</td>\n",
              "      <td id=\"T_13bcf_row42_col13\" class=\"data row42 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row43\" class=\"row_heading level0 row43\" >195</th>\n",
              "      <td id=\"T_13bcf_row43_col0\" class=\"data row43 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row43_col1\" class=\"data row43 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row43_col2\" class=\"data row43 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row43_col3\" class=\"data row43 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row43_col4\" class=\"data row43 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row43_col5\" class=\"data row43 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row43_col6\" class=\"data row43 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row43_col7\" class=\"data row43 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row43_col8\" class=\"data row43 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row43_col9\" class=\"data row43 col9\" >0011011000010100</td>\n",
              "      <td id=\"T_13bcf_row43_col10\" class=\"data row43 col10\" >-85.910000</td>\n",
              "      <td id=\"T_13bcf_row43_col11\" class=\"data row43 col11\" >159.410000</td>\n",
              "      <td id=\"T_13bcf_row43_col12\" class=\"data row43 col12\" >21</td>\n",
              "      <td id=\"T_13bcf_row43_col13\" class=\"data row43 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row44\" class=\"row_heading level0 row44\" >196</th>\n",
              "      <td id=\"T_13bcf_row44_col0\" class=\"data row44 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row44_col1\" class=\"data row44 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row44_col2\" class=\"data row44 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row44_col3\" class=\"data row44 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row44_col4\" class=\"data row44 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row44_col5\" class=\"data row44 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row44_col6\" class=\"data row44 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row44_col7\" class=\"data row44 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row44_col8\" class=\"data row44 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row44_col9\" class=\"data row44 col9\" >0010010000111110</td>\n",
              "      <td id=\"T_13bcf_row44_col10\" class=\"data row44 col10\" >-89.520000</td>\n",
              "      <td id=\"T_13bcf_row44_col11\" class=\"data row44 col11\" >166.810000</td>\n",
              "      <td id=\"T_13bcf_row44_col12\" class=\"data row44 col12\" >22</td>\n",
              "      <td id=\"T_13bcf_row44_col13\" class=\"data row44 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row45\" class=\"row_heading level0 row45\" >197</th>\n",
              "      <td id=\"T_13bcf_row45_col0\" class=\"data row45 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row45_col1\" class=\"data row45 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row45_col2\" class=\"data row45 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row45_col3\" class=\"data row45 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row45_col4\" class=\"data row45 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row45_col5\" class=\"data row45 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row45_col6\" class=\"data row45 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row45_col7\" class=\"data row45 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row45_col8\" class=\"data row45 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row45_col9\" class=\"data row45 col9\" >1110010110101100</td>\n",
              "      <td id=\"T_13bcf_row45_col10\" class=\"data row45 col10\" >-96.580000</td>\n",
              "      <td id=\"T_13bcf_row45_col11\" class=\"data row45 col11\" >174.820000</td>\n",
              "      <td id=\"T_13bcf_row45_col12\" class=\"data row45 col12\" >23</td>\n",
              "      <td id=\"T_13bcf_row45_col13\" class=\"data row45 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row46\" class=\"row_heading level0 row46\" >198</th>\n",
              "      <td id=\"T_13bcf_row46_col0\" class=\"data row46 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row46_col1\" class=\"data row46 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row46_col2\" class=\"data row46 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row46_col3\" class=\"data row46 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row46_col4\" class=\"data row46 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row46_col5\" class=\"data row46 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row46_col6\" class=\"data row46 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row46_col7\" class=\"data row46 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row46_col8\" class=\"data row46 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row46_col9\" class=\"data row46 col9\" >0111101001010100</td>\n",
              "      <td id=\"T_13bcf_row46_col10\" class=\"data row46 col10\" >-83.920000</td>\n",
              "      <td id=\"T_13bcf_row46_col11\" class=\"data row46 col11\" >174.700000</td>\n",
              "      <td id=\"T_13bcf_row46_col12\" class=\"data row46 col12\" >24</td>\n",
              "      <td id=\"T_13bcf_row46_col13\" class=\"data row46 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row47\" class=\"row_heading level0 row47\" >199</th>\n",
              "      <td id=\"T_13bcf_row47_col0\" class=\"data row47 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row47_col1\" class=\"data row47 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row47_col2\" class=\"data row47 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row47_col3\" class=\"data row47 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row47_col4\" class=\"data row47 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row47_col5\" class=\"data row47 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row47_col6\" class=\"data row47 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row47_col7\" class=\"data row47 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row47_col8\" class=\"data row47 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row47_col9\" class=\"data row47 col9\" >0001100011110011</td>\n",
              "      <td id=\"T_13bcf_row47_col10\" class=\"data row47 col10\" >-74.630000</td>\n",
              "      <td id=\"T_13bcf_row47_col11\" class=\"data row47 col11\" >195.050000</td>\n",
              "      <td id=\"T_13bcf_row47_col12\" class=\"data row47 col12\" >25</td>\n",
              "      <td id=\"T_13bcf_row47_col13\" class=\"data row47 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row48\" class=\"row_heading level0 row48\" >200</th>\n",
              "      <td id=\"T_13bcf_row48_col0\" class=\"data row48 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row48_col1\" class=\"data row48 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row48_col2\" class=\"data row48 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row48_col3\" class=\"data row48 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row48_col4\" class=\"data row48 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row48_col5\" class=\"data row48 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row48_col6\" class=\"data row48 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row48_col7\" class=\"data row48 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row48_col8\" class=\"data row48 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row48_col9\" class=\"data row48 col9\" >1001100101100011</td>\n",
              "      <td id=\"T_13bcf_row48_col10\" class=\"data row48 col10\" >-71.690000</td>\n",
              "      <td id=\"T_13bcf_row48_col11\" class=\"data row48 col11\" >205.100000</td>\n",
              "      <td id=\"T_13bcf_row48_col12\" class=\"data row48 col12\" >26</td>\n",
              "      <td id=\"T_13bcf_row48_col13\" class=\"data row48 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row49\" class=\"row_heading level0 row49\" >201</th>\n",
              "      <td id=\"T_13bcf_row49_col0\" class=\"data row49 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row49_col1\" class=\"data row49 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row49_col2\" class=\"data row49 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row49_col3\" class=\"data row49 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row49_col4\" class=\"data row49 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row49_col5\" class=\"data row49 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row49_col6\" class=\"data row49 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row49_col7\" class=\"data row49 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row49_col8\" class=\"data row49 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row49_col9\" class=\"data row49 col9\" >1001101101000011</td>\n",
              "      <td id=\"T_13bcf_row49_col10\" class=\"data row49 col10\" >-88.720000</td>\n",
              "      <td id=\"T_13bcf_row49_col11\" class=\"data row49 col11\" >442.620000</td>\n",
              "      <td id=\"T_13bcf_row49_col12\" class=\"data row49 col12\" >27</td>\n",
              "      <td id=\"T_13bcf_row49_col13\" class=\"data row49 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row50\" class=\"row_heading level0 row50\" >202</th>\n",
              "      <td id=\"T_13bcf_row50_col0\" class=\"data row50 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row50_col1\" class=\"data row50 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row50_col2\" class=\"data row50 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row50_col3\" class=\"data row50 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row50_col4\" class=\"data row50 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row50_col5\" class=\"data row50 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row50_col6\" class=\"data row50 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row50_col7\" class=\"data row50 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row50_col8\" class=\"data row50 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row50_col9\" class=\"data row50 col9\" >1101001111010001</td>\n",
              "      <td id=\"T_13bcf_row50_col10\" class=\"data row50 col10\" >-86.310000</td>\n",
              "      <td id=\"T_13bcf_row50_col11\" class=\"data row50 col11\" >225.840000</td>\n",
              "      <td id=\"T_13bcf_row50_col12\" class=\"data row50 col12\" >28</td>\n",
              "      <td id=\"T_13bcf_row50_col13\" class=\"data row50 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row51\" class=\"row_heading level0 row51\" >203</th>\n",
              "      <td id=\"T_13bcf_row51_col0\" class=\"data row51 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row51_col1\" class=\"data row51 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row51_col2\" class=\"data row51 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row51_col3\" class=\"data row51 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row51_col4\" class=\"data row51 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row51_col5\" class=\"data row51 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row51_col6\" class=\"data row51 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row51_col7\" class=\"data row51 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row51_col8\" class=\"data row51 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row51_col9\" class=\"data row51 col9\" >1100100111101011</td>\n",
              "      <td id=\"T_13bcf_row51_col10\" class=\"data row51 col10\" >-85.910000</td>\n",
              "      <td id=\"T_13bcf_row51_col11\" class=\"data row51 col11\" >236.620000</td>\n",
              "      <td id=\"T_13bcf_row51_col12\" class=\"data row51 col12\" >29</td>\n",
              "      <td id=\"T_13bcf_row51_col13\" class=\"data row51 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row52\" class=\"row_heading level0 row52\" >204</th>\n",
              "      <td id=\"T_13bcf_row52_col0\" class=\"data row52 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row52_col1\" class=\"data row52 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row52_col2\" class=\"data row52 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row52_col3\" class=\"data row52 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row52_col4\" class=\"data row52 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row52_col5\" class=\"data row52 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row52_col6\" class=\"data row52 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row52_col7\" class=\"data row52 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row52_col8\" class=\"data row52 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row52_col9\" class=\"data row52 col9\" >0011011000010100</td>\n",
              "      <td id=\"T_13bcf_row52_col10\" class=\"data row52 col10\" >-85.910000</td>\n",
              "      <td id=\"T_13bcf_row52_col11\" class=\"data row52 col11\" >248.210000</td>\n",
              "      <td id=\"T_13bcf_row52_col12\" class=\"data row52 col12\" >30</td>\n",
              "      <td id=\"T_13bcf_row52_col13\" class=\"data row52 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row53\" class=\"row_heading level0 row53\" >205</th>\n",
              "      <td id=\"T_13bcf_row53_col0\" class=\"data row53 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row53_col1\" class=\"data row53 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row53_col2\" class=\"data row53 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row53_col3\" class=\"data row53 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row53_col4\" class=\"data row53 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row53_col5\" class=\"data row53 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row53_col6\" class=\"data row53 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row53_col7\" class=\"data row53 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row53_col8\" class=\"data row53 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row53_col9\" class=\"data row53 col9\" >0011001000010110</td>\n",
              "      <td id=\"T_13bcf_row53_col10\" class=\"data row53 col10\" >-81.140000</td>\n",
              "      <td id=\"T_13bcf_row53_col11\" class=\"data row53 col11\" >254.220000</td>\n",
              "      <td id=\"T_13bcf_row53_col12\" class=\"data row53 col12\" >31</td>\n",
              "      <td id=\"T_13bcf_row53_col13\" class=\"data row53 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row54\" class=\"row_heading level0 row54\" >206</th>\n",
              "      <td id=\"T_13bcf_row54_col0\" class=\"data row54 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row54_col1\" class=\"data row54 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row54_col2\" class=\"data row54 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row54_col3\" class=\"data row54 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row54_col4\" class=\"data row54 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row54_col5\" class=\"data row54 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row54_col6\" class=\"data row54 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row54_col7\" class=\"data row54 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row54_col8\" class=\"data row54 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row54_col9\" class=\"data row54 col9\" >0110001000010100</td>\n",
              "      <td id=\"T_13bcf_row54_col10\" class=\"data row54 col10\" >-85.220000</td>\n",
              "      <td id=\"T_13bcf_row54_col11\" class=\"data row54 col11\" >267.300000</td>\n",
              "      <td id=\"T_13bcf_row54_col12\" class=\"data row54 col12\" >32</td>\n",
              "      <td id=\"T_13bcf_row54_col13\" class=\"data row54 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row55\" class=\"row_heading level0 row55\" >207</th>\n",
              "      <td id=\"T_13bcf_row55_col0\" class=\"data row55 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row55_col1\" class=\"data row55 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row55_col2\" class=\"data row55 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row55_col3\" class=\"data row55 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row55_col4\" class=\"data row55 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row55_col5\" class=\"data row55 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row55_col6\" class=\"data row55 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row55_col7\" class=\"data row55 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row55_col8\" class=\"data row55 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row55_col9\" class=\"data row55 col9\" >1110010000101100</td>\n",
              "      <td id=\"T_13bcf_row55_col10\" class=\"data row55 col10\" >-89.750000</td>\n",
              "      <td id=\"T_13bcf_row55_col11\" class=\"data row55 col11\" >278.930000</td>\n",
              "      <td id=\"T_13bcf_row55_col12\" class=\"data row55 col12\" >33</td>\n",
              "      <td id=\"T_13bcf_row55_col13\" class=\"data row55 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row56\" class=\"row_heading level0 row56\" >208</th>\n",
              "      <td id=\"T_13bcf_row56_col0\" class=\"data row56 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row56_col1\" class=\"data row56 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row56_col2\" class=\"data row56 col2\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row56_col3\" class=\"data row56 col3\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row56_col4\" class=\"data row56 col4\" >6.270000</td>\n",
              "      <td id=\"T_13bcf_row56_col5\" class=\"data row56 col5\" >1000110110101011</td>\n",
              "      <td id=\"T_13bcf_row56_col6\" class=\"data row56 col6\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row56_col7\" class=\"data row56 col7\" >5.040000</td>\n",
              "      <td id=\"T_13bcf_row56_col8\" class=\"data row56 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row56_col9\" class=\"data row56 col9\" >0111001001010100</td>\n",
              "      <td id=\"T_13bcf_row56_col10\" class=\"data row56 col10\" >-100.880000</td>\n",
              "      <td id=\"T_13bcf_row56_col11\" class=\"data row56 col11\" >291.470000</td>\n",
              "      <td id=\"T_13bcf_row56_col12\" class=\"data row56 col12\" >34</td>\n",
              "      <td id=\"T_13bcf_row56_col13\" class=\"data row56 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row57\" class=\"row_heading level0 row57\" >209</th>\n",
              "      <td id=\"T_13bcf_row57_col0\" class=\"data row57 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row57_col1\" class=\"data row57 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row57_col2\" class=\"data row57 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row57_col3\" class=\"data row57 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row57_col4\" class=\"data row57 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row57_col5\" class=\"data row57 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row57_col6\" class=\"data row57 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row57_col7\" class=\"data row57 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row57_col8\" class=\"data row57 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row57_col9\" class=\"data row57 col9\" >11001101100011100</td>\n",
              "      <td id=\"T_13bcf_row57_col10\" class=\"data row57 col10\" >-89.870000</td>\n",
              "      <td id=\"T_13bcf_row57_col11\" class=\"data row57 col11\" >11.250000</td>\n",
              "      <td id=\"T_13bcf_row57_col12\" class=\"data row57 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row57_col13\" class=\"data row57 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row58\" class=\"row_heading level0 row58\" >210</th>\n",
              "      <td id=\"T_13bcf_row58_col0\" class=\"data row58 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row58_col1\" class=\"data row58 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row58_col2\" class=\"data row58 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row58_col3\" class=\"data row58 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row58_col4\" class=\"data row58 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row58_col5\" class=\"data row58 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row58_col6\" class=\"data row58 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row58_col7\" class=\"data row58 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row58_col8\" class=\"data row58 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row58_col9\" class=\"data row58 col9\" >00111010011101001</td>\n",
              "      <td id=\"T_13bcf_row58_col10\" class=\"data row58 col10\" >-88.220000</td>\n",
              "      <td id=\"T_13bcf_row58_col11\" class=\"data row58 col11\" >20.730000</td>\n",
              "      <td id=\"T_13bcf_row58_col12\" class=\"data row58 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row58_col13\" class=\"data row58 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row59\" class=\"row_heading level0 row59\" >211</th>\n",
              "      <td id=\"T_13bcf_row59_col0\" class=\"data row59 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row59_col1\" class=\"data row59 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row59_col2\" class=\"data row59 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row59_col3\" class=\"data row59 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row59_col4\" class=\"data row59 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row59_col5\" class=\"data row59 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row59_col6\" class=\"data row59 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row59_col7\" class=\"data row59 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row59_col8\" class=\"data row59 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row59_col9\" class=\"data row59 col9\" >11111111111010010</td>\n",
              "      <td id=\"T_13bcf_row59_col10\" class=\"data row59 col10\" >-94.690000</td>\n",
              "      <td id=\"T_13bcf_row59_col11\" class=\"data row59 col11\" >25.030000</td>\n",
              "      <td id=\"T_13bcf_row59_col12\" class=\"data row59 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row59_col13\" class=\"data row59 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row60\" class=\"row_heading level0 row60\" >212</th>\n",
              "      <td id=\"T_13bcf_row60_col0\" class=\"data row60 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row60_col1\" class=\"data row60 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row60_col2\" class=\"data row60 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row60_col3\" class=\"data row60 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row60_col4\" class=\"data row60 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row60_col5\" class=\"data row60 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row60_col6\" class=\"data row60 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row60_col7\" class=\"data row60 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row60_col8\" class=\"data row60 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row60_col9\" class=\"data row60 col9\" >00100000000111101</td>\n",
              "      <td id=\"T_13bcf_row60_col10\" class=\"data row60 col10\" >-88.130000</td>\n",
              "      <td id=\"T_13bcf_row60_col11\" class=\"data row60 col11\" >34.080000</td>\n",
              "      <td id=\"T_13bcf_row60_col12\" class=\"data row60 col12\" >4</td>\n",
              "      <td id=\"T_13bcf_row60_col13\" class=\"data row60 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row61\" class=\"row_heading level0 row61\" >213</th>\n",
              "      <td id=\"T_13bcf_row61_col0\" class=\"data row61 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row61_col1\" class=\"data row61 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row61_col2\" class=\"data row61 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row61_col3\" class=\"data row61 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row61_col4\" class=\"data row61 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row61_col5\" class=\"data row61 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row61_col6\" class=\"data row61 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row61_col7\" class=\"data row61 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row61_col8\" class=\"data row61 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row61_col9\" class=\"data row61 col9\" >00000100000011101</td>\n",
              "      <td id=\"T_13bcf_row61_col10\" class=\"data row61 col10\" >-81.120000</td>\n",
              "      <td id=\"T_13bcf_row61_col11\" class=\"data row61 col11\" >39.430000</td>\n",
              "      <td id=\"T_13bcf_row61_col12\" class=\"data row61 col12\" >5</td>\n",
              "      <td id=\"T_13bcf_row61_col13\" class=\"data row61 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row62\" class=\"row_heading level0 row62\" >214</th>\n",
              "      <td id=\"T_13bcf_row62_col0\" class=\"data row62 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row62_col1\" class=\"data row62 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row62_col2\" class=\"data row62 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row62_col3\" class=\"data row62 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row62_col4\" class=\"data row62 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row62_col5\" class=\"data row62 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row62_col6\" class=\"data row62 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row62_col7\" class=\"data row62 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row62_col8\" class=\"data row62 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row62_col9\" class=\"data row62 col9\" >11111111111100010</td>\n",
              "      <td id=\"T_13bcf_row62_col10\" class=\"data row62 col10\" >-94.240000</td>\n",
              "      <td id=\"T_13bcf_row62_col11\" class=\"data row62 col11\" >49.790000</td>\n",
              "      <td id=\"T_13bcf_row62_col12\" class=\"data row62 col12\" >6</td>\n",
              "      <td id=\"T_13bcf_row62_col13\" class=\"data row62 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row63\" class=\"row_heading level0 row63\" >215</th>\n",
              "      <td id=\"T_13bcf_row63_col0\" class=\"data row63 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row63_col1\" class=\"data row63 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row63_col2\" class=\"data row63 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row63_col3\" class=\"data row63 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row63_col4\" class=\"data row63 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row63_col5\" class=\"data row63 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row63_col6\" class=\"data row63 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row63_col7\" class=\"data row63 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row63_col8\" class=\"data row63 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row63_col9\" class=\"data row63 col9\" >01000100000011100</td>\n",
              "      <td id=\"T_13bcf_row63_col10\" class=\"data row63 col10\" >-80.330000</td>\n",
              "      <td id=\"T_13bcf_row63_col11\" class=\"data row63 col11\" >58.730000</td>\n",
              "      <td id=\"T_13bcf_row63_col12\" class=\"data row63 col12\" >7</td>\n",
              "      <td id=\"T_13bcf_row63_col13\" class=\"data row63 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row64\" class=\"row_heading level0 row64\" >216</th>\n",
              "      <td id=\"T_13bcf_row64_col0\" class=\"data row64 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row64_col1\" class=\"data row64 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row64_col2\" class=\"data row64 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row64_col3\" class=\"data row64 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row64_col4\" class=\"data row64 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row64_col5\" class=\"data row64 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row64_col6\" class=\"data row64 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row64_col7\" class=\"data row64 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row64_col8\" class=\"data row64 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row64_col9\" class=\"data row64 col9\" >00100000000111101</td>\n",
              "      <td id=\"T_13bcf_row64_col10\" class=\"data row64 col10\" >-88.130000</td>\n",
              "      <td id=\"T_13bcf_row64_col11\" class=\"data row64 col11\" >63.890000</td>\n",
              "      <td id=\"T_13bcf_row64_col12\" class=\"data row64 col12\" >8</td>\n",
              "      <td id=\"T_13bcf_row64_col13\" class=\"data row64 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row65\" class=\"row_heading level0 row65\" >217</th>\n",
              "      <td id=\"T_13bcf_row65_col0\" class=\"data row65 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row65_col1\" class=\"data row65 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row65_col2\" class=\"data row65 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row65_col3\" class=\"data row65 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row65_col4\" class=\"data row65 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row65_col5\" class=\"data row65 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row65_col6\" class=\"data row65 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row65_col7\" class=\"data row65 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row65_col8\" class=\"data row65 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row65_col9\" class=\"data row65 col9\" >11100111111110011</td>\n",
              "      <td id=\"T_13bcf_row65_col10\" class=\"data row65 col10\" >-63.240000</td>\n",
              "      <td id=\"T_13bcf_row65_col11\" class=\"data row65 col11\" >78.840000</td>\n",
              "      <td id=\"T_13bcf_row65_col12\" class=\"data row65 col12\" >9</td>\n",
              "      <td id=\"T_13bcf_row65_col13\" class=\"data row65 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row66\" class=\"row_heading level0 row66\" >218</th>\n",
              "      <td id=\"T_13bcf_row66_col0\" class=\"data row66 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row66_col1\" class=\"data row66 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row66_col2\" class=\"data row66 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row66_col3\" class=\"data row66 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row66_col4\" class=\"data row66 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row66_col5\" class=\"data row66 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row66_col6\" class=\"data row66 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row66_col7\" class=\"data row66 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row66_col8\" class=\"data row66 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row66_col9\" class=\"data row66 col9\" >11001101111010010</td>\n",
              "      <td id=\"T_13bcf_row66_col10\" class=\"data row66 col10\" >-89.660000</td>\n",
              "      <td id=\"T_13bcf_row66_col11\" class=\"data row66 col11\" >194.400000</td>\n",
              "      <td id=\"T_13bcf_row66_col12\" class=\"data row66 col12\" >10</td>\n",
              "      <td id=\"T_13bcf_row66_col13\" class=\"data row66 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row67\" class=\"row_heading level0 row67\" >219</th>\n",
              "      <td id=\"T_13bcf_row67_col0\" class=\"data row67 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row67_col1\" class=\"data row67 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row67_col2\" class=\"data row67 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row67_col3\" class=\"data row67 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row67_col4\" class=\"data row67 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row67_col5\" class=\"data row67 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row67_col6\" class=\"data row67 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row67_col7\" class=\"data row67 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row67_col8\" class=\"data row67 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row67_col9\" class=\"data row67 col9\" >11010011111010010</td>\n",
              "      <td id=\"T_13bcf_row67_col10\" class=\"data row67 col10\" >-95.990000</td>\n",
              "      <td id=\"T_13bcf_row67_col11\" class=\"data row67 col11\" >99.980000</td>\n",
              "      <td id=\"T_13bcf_row67_col12\" class=\"data row67 col12\" >11</td>\n",
              "      <td id=\"T_13bcf_row67_col13\" class=\"data row67 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row68\" class=\"row_heading level0 row68\" >220</th>\n",
              "      <td id=\"T_13bcf_row68_col0\" class=\"data row68 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row68_col1\" class=\"data row68 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row68_col2\" class=\"data row68 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row68_col3\" class=\"data row68 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row68_col4\" class=\"data row68 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row68_col5\" class=\"data row68 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row68_col6\" class=\"data row68 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row68_col7\" class=\"data row68 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row68_col8\" class=\"data row68 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row68_col9\" class=\"data row68 col9\" >10001101100101101</td>\n",
              "      <td id=\"T_13bcf_row68_col10\" class=\"data row68 col10\" >-88.470000</td>\n",
              "      <td id=\"T_13bcf_row68_col11\" class=\"data row68 col11\" >228.290000</td>\n",
              "      <td id=\"T_13bcf_row68_col12\" class=\"data row68 col12\" >12</td>\n",
              "      <td id=\"T_13bcf_row68_col13\" class=\"data row68 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row69\" class=\"row_heading level0 row69\" >221</th>\n",
              "      <td id=\"T_13bcf_row69_col0\" class=\"data row69 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row69_col1\" class=\"data row69 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row69_col2\" class=\"data row69 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row69_col3\" class=\"data row69 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row69_col4\" class=\"data row69 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row69_col5\" class=\"data row69 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row69_col6\" class=\"data row69 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row69_col7\" class=\"data row69 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row69_col8\" class=\"data row69 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row69_col9\" class=\"data row69 col9\" >00110010011111111</td>\n",
              "      <td id=\"T_13bcf_row69_col10\" class=\"data row69 col10\" >-90.740000</td>\n",
              "      <td id=\"T_13bcf_row69_col11\" class=\"data row69 col11\" >117.040000</td>\n",
              "      <td id=\"T_13bcf_row69_col12\" class=\"data row69 col12\" >13</td>\n",
              "      <td id=\"T_13bcf_row69_col13\" class=\"data row69 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row70\" class=\"row_heading level0 row70\" >222</th>\n",
              "      <td id=\"T_13bcf_row70_col0\" class=\"data row70 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row70_col1\" class=\"data row70 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row70_col2\" class=\"data row70 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row70_col3\" class=\"data row70 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row70_col4\" class=\"data row70 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row70_col5\" class=\"data row70 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row70_col6\" class=\"data row70 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row70_col7\" class=\"data row70 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row70_col8\" class=\"data row70 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row70_col9\" class=\"data row70 col9\" >00101100010001101</td>\n",
              "      <td id=\"T_13bcf_row70_col10\" class=\"data row70 col10\" >-77.640000</td>\n",
              "      <td id=\"T_13bcf_row70_col11\" class=\"data row70 col11\" >127.420000</td>\n",
              "      <td id=\"T_13bcf_row70_col12\" class=\"data row70 col12\" >14</td>\n",
              "      <td id=\"T_13bcf_row70_col13\" class=\"data row70 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row71\" class=\"row_heading level0 row71\" >223</th>\n",
              "      <td id=\"T_13bcf_row71_col0\" class=\"data row71 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row71_col1\" class=\"data row71 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row71_col2\" class=\"data row71 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row71_col3\" class=\"data row71 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row71_col4\" class=\"data row71 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row71_col5\" class=\"data row71 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row71_col6\" class=\"data row71 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row71_col7\" class=\"data row71 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row71_col8\" class=\"data row71 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row71_col9\" class=\"data row71 col9\" >11101111111100010</td>\n",
              "      <td id=\"T_13bcf_row71_col10\" class=\"data row71 col10\" >-88.490000</td>\n",
              "      <td id=\"T_13bcf_row71_col11\" class=\"data row71 col11\" >137.460000</td>\n",
              "      <td id=\"T_13bcf_row71_col12\" class=\"data row71 col12\" >15</td>\n",
              "      <td id=\"T_13bcf_row71_col13\" class=\"data row71 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row72\" class=\"row_heading level0 row72\" >224</th>\n",
              "      <td id=\"T_13bcf_row72_col0\" class=\"data row72 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row72_col1\" class=\"data row72 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row72_col2\" class=\"data row72 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row72_col3\" class=\"data row72 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row72_col4\" class=\"data row72 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row72_col5\" class=\"data row72 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row72_col6\" class=\"data row72 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row72_col7\" class=\"data row72 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row72_col8\" class=\"data row72 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row72_col9\" class=\"data row72 col9\" >00000000010101101</td>\n",
              "      <td id=\"T_13bcf_row72_col10\" class=\"data row72 col10\" >-71.830000</td>\n",
              "      <td id=\"T_13bcf_row72_col11\" class=\"data row72 col11\" >316.410000</td>\n",
              "      <td id=\"T_13bcf_row72_col12\" class=\"data row72 col12\" >16</td>\n",
              "      <td id=\"T_13bcf_row72_col13\" class=\"data row72 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row73\" class=\"row_heading level0 row73\" >225</th>\n",
              "      <td id=\"T_13bcf_row73_col0\" class=\"data row73 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row73_col1\" class=\"data row73 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row73_col2\" class=\"data row73 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row73_col3\" class=\"data row73 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row73_col4\" class=\"data row73 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row73_col5\" class=\"data row73 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row73_col6\" class=\"data row73 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row73_col7\" class=\"data row73 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row73_col8\" class=\"data row73 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row73_col9\" class=\"data row73 col9\" >11000101110010010</td>\n",
              "      <td id=\"T_13bcf_row73_col10\" class=\"data row73 col10\" >-86.300000</td>\n",
              "      <td id=\"T_13bcf_row73_col11\" class=\"data row73 col11\" >338.800000</td>\n",
              "      <td id=\"T_13bcf_row73_col12\" class=\"data row73 col12\" >17</td>\n",
              "      <td id=\"T_13bcf_row73_col13\" class=\"data row73 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row74\" class=\"row_heading level0 row74\" >226</th>\n",
              "      <td id=\"T_13bcf_row74_col0\" class=\"data row74 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row74_col1\" class=\"data row74 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row74_col2\" class=\"data row74 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row74_col3\" class=\"data row74 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row74_col4\" class=\"data row74 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row74_col5\" class=\"data row74 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row74_col6\" class=\"data row74 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row74_col7\" class=\"data row74 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row74_col8\" class=\"data row74 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row74_col9\" class=\"data row74 col9\" >11101111111010010</td>\n",
              "      <td id=\"T_13bcf_row74_col10\" class=\"data row74 col10\" >-90.300000</td>\n",
              "      <td id=\"T_13bcf_row74_col11\" class=\"data row74 col11\" >173.270000</td>\n",
              "      <td id=\"T_13bcf_row74_col12\" class=\"data row74 col12\" >18</td>\n",
              "      <td id=\"T_13bcf_row74_col13\" class=\"data row74 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row75\" class=\"row_heading level0 row75\" >227</th>\n",
              "      <td id=\"T_13bcf_row75_col0\" class=\"data row75 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row75_col1\" class=\"data row75 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row75_col2\" class=\"data row75 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row75_col3\" class=\"data row75 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row75_col4\" class=\"data row75 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row75_col5\" class=\"data row75 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row75_col6\" class=\"data row75 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row75_col7\" class=\"data row75 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row75_col8\" class=\"data row75 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row75_col9\" class=\"data row75 col9\" >00010010000110101</td>\n",
              "      <td id=\"T_13bcf_row75_col10\" class=\"data row75 col10\" >-85.230000</td>\n",
              "      <td id=\"T_13bcf_row75_col11\" class=\"data row75 col11\" >182.370000</td>\n",
              "      <td id=\"T_13bcf_row75_col12\" class=\"data row75 col12\" >19</td>\n",
              "      <td id=\"T_13bcf_row75_col13\" class=\"data row75 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row76\" class=\"row_heading level0 row76\" >228</th>\n",
              "      <td id=\"T_13bcf_row76_col0\" class=\"data row76 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row76_col1\" class=\"data row76 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row76_col2\" class=\"data row76 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row76_col3\" class=\"data row76 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row76_col4\" class=\"data row76 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row76_col5\" class=\"data row76 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row76_col6\" class=\"data row76 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row76_col7\" class=\"data row76 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row76_col8\" class=\"data row76 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row76_col9\" class=\"data row76 col9\" >01001000000101101</td>\n",
              "      <td id=\"T_13bcf_row76_col10\" class=\"data row76 col10\" >-80.670000</td>\n",
              "      <td id=\"T_13bcf_row76_col11\" class=\"data row76 col11\" >837.710000</td>\n",
              "      <td id=\"T_13bcf_row76_col12\" class=\"data row76 col12\" >20</td>\n",
              "      <td id=\"T_13bcf_row76_col13\" class=\"data row76 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row77\" class=\"row_heading level0 row77\" >229</th>\n",
              "      <td id=\"T_13bcf_row77_col0\" class=\"data row77 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row77_col1\" class=\"data row77 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row77_col2\" class=\"data row77 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row77_col3\" class=\"data row77 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row77_col4\" class=\"data row77 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row77_col5\" class=\"data row77 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row77_col6\" class=\"data row77 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row77_col7\" class=\"data row77 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row77_col8\" class=\"data row77 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row77_col9\" class=\"data row77 col9\" >11001101110000110</td>\n",
              "      <td id=\"T_13bcf_row77_col10\" class=\"data row77 col10\" >-73.240000</td>\n",
              "      <td id=\"T_13bcf_row77_col11\" class=\"data row77 col11\" >203.830000</td>\n",
              "      <td id=\"T_13bcf_row77_col12\" class=\"data row77 col12\" >21</td>\n",
              "      <td id=\"T_13bcf_row77_col13\" class=\"data row77 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row78\" class=\"row_heading level0 row78\" >230</th>\n",
              "      <td id=\"T_13bcf_row78_col0\" class=\"data row78 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row78_col1\" class=\"data row78 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row78_col2\" class=\"data row78 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row78_col3\" class=\"data row78 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row78_col4\" class=\"data row78 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row78_col5\" class=\"data row78 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row78_col6\" class=\"data row78 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row78_col7\" class=\"data row78 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row78_col8\" class=\"data row78 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row78_col9\" class=\"data row78 col9\" >11110101111010010</td>\n",
              "      <td id=\"T_13bcf_row78_col10\" class=\"data row78 col10\" >-80.790000</td>\n",
              "      <td id=\"T_13bcf_row78_col11\" class=\"data row78 col11\" >217.920000</td>\n",
              "      <td id=\"T_13bcf_row78_col12\" class=\"data row78 col12\" >22</td>\n",
              "      <td id=\"T_13bcf_row78_col13\" class=\"data row78 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row79\" class=\"row_heading level0 row79\" >231</th>\n",
              "      <td id=\"T_13bcf_row79_col0\" class=\"data row79 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row79_col1\" class=\"data row79 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row79_col2\" class=\"data row79 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row79_col3\" class=\"data row79 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row79_col4\" class=\"data row79 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row79_col5\" class=\"data row79 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row79_col6\" class=\"data row79 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row79_col7\" class=\"data row79 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row79_col8\" class=\"data row79 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row79_col9\" class=\"data row79 col9\" >00111010011100011</td>\n",
              "      <td id=\"T_13bcf_row79_col10\" class=\"data row79 col10\" >-89.170000</td>\n",
              "      <td id=\"T_13bcf_row79_col11\" class=\"data row79 col11\" >227.870000</td>\n",
              "      <td id=\"T_13bcf_row79_col12\" class=\"data row79 col12\" >23</td>\n",
              "      <td id=\"T_13bcf_row79_col13\" class=\"data row79 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row80\" class=\"row_heading level0 row80\" >232</th>\n",
              "      <td id=\"T_13bcf_row80_col0\" class=\"data row80 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row80_col1\" class=\"data row80 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row80_col2\" class=\"data row80 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row80_col3\" class=\"data row80 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row80_col4\" class=\"data row80 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row80_col5\" class=\"data row80 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row80_col6\" class=\"data row80 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row80_col7\" class=\"data row80 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row80_col8\" class=\"data row80 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row80_col9\" class=\"data row80 col9\" >00100010001110111</td>\n",
              "      <td id=\"T_13bcf_row80_col10\" class=\"data row80 col10\" >-65.420000</td>\n",
              "      <td id=\"T_13bcf_row80_col11\" class=\"data row80 col11\" >241.790000</td>\n",
              "      <td id=\"T_13bcf_row80_col12\" class=\"data row80 col12\" >24</td>\n",
              "      <td id=\"T_13bcf_row80_col13\" class=\"data row80 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row81\" class=\"row_heading level0 row81\" >233</th>\n",
              "      <td id=\"T_13bcf_row81_col0\" class=\"data row81 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row81_col1\" class=\"data row81 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row81_col2\" class=\"data row81 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row81_col3\" class=\"data row81 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row81_col4\" class=\"data row81 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row81_col5\" class=\"data row81 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row81_col6\" class=\"data row81 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row81_col7\" class=\"data row81 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row81_col8\" class=\"data row81 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row81_col9\" class=\"data row81 col9\" >00001100010001101</td>\n",
              "      <td id=\"T_13bcf_row81_col10\" class=\"data row81 col10\" >-72.680000</td>\n",
              "      <td id=\"T_13bcf_row81_col11\" class=\"data row81 col11\" >801.040000</td>\n",
              "      <td id=\"T_13bcf_row81_col12\" class=\"data row81 col12\" >25</td>\n",
              "      <td id=\"T_13bcf_row81_col13\" class=\"data row81 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row82\" class=\"row_heading level0 row82\" >234</th>\n",
              "      <td id=\"T_13bcf_row82_col0\" class=\"data row82 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row82_col1\" class=\"data row82 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row82_col2\" class=\"data row82 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row82_col3\" class=\"data row82 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row82_col4\" class=\"data row82 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row82_col5\" class=\"data row82 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row82_col6\" class=\"data row82 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row82_col7\" class=\"data row82 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row82_col8\" class=\"data row82 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row82_col9\" class=\"data row82 col9\" >10001101100101101</td>\n",
              "      <td id=\"T_13bcf_row82_col10\" class=\"data row82 col10\" >-88.470000</td>\n",
              "      <td id=\"T_13bcf_row82_col11\" class=\"data row82 col11\" >275.300000</td>\n",
              "      <td id=\"T_13bcf_row82_col12\" class=\"data row82 col12\" >26</td>\n",
              "      <td id=\"T_13bcf_row82_col13\" class=\"data row82 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row83\" class=\"row_heading level0 row83\" >235</th>\n",
              "      <td id=\"T_13bcf_row83_col0\" class=\"data row83 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row83_col1\" class=\"data row83 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row83_col2\" class=\"data row83 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row83_col3\" class=\"data row83 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row83_col4\" class=\"data row83 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row83_col5\" class=\"data row83 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row83_col6\" class=\"data row83 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row83_col7\" class=\"data row83 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row83_col8\" class=\"data row83 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row83_col9\" class=\"data row83 col9\" >00111010011100011</td>\n",
              "      <td id=\"T_13bcf_row83_col10\" class=\"data row83 col10\" >-89.170000</td>\n",
              "      <td id=\"T_13bcf_row83_col11\" class=\"data row83 col11\" >283.510000</td>\n",
              "      <td id=\"T_13bcf_row83_col12\" class=\"data row83 col12\" >27</td>\n",
              "      <td id=\"T_13bcf_row83_col13\" class=\"data row83 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row84\" class=\"row_heading level0 row84\" >236</th>\n",
              "      <td id=\"T_13bcf_row84_col0\" class=\"data row84 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row84_col1\" class=\"data row84 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row84_col2\" class=\"data row84 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row84_col3\" class=\"data row84 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row84_col4\" class=\"data row84 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row84_col5\" class=\"data row84 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row84_col6\" class=\"data row84 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row84_col7\" class=\"data row84 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row84_col8\" class=\"data row84 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row84_col9\" class=\"data row84 col9\" >00111010011100011</td>\n",
              "      <td id=\"T_13bcf_row84_col10\" class=\"data row84 col10\" >-89.170000</td>\n",
              "      <td id=\"T_13bcf_row84_col11\" class=\"data row84 col11\" >296.820000</td>\n",
              "      <td id=\"T_13bcf_row84_col12\" class=\"data row84 col12\" >28</td>\n",
              "      <td id=\"T_13bcf_row84_col13\" class=\"data row84 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row85\" class=\"row_heading level0 row85\" >237</th>\n",
              "      <td id=\"T_13bcf_row85_col0\" class=\"data row85 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row85_col1\" class=\"data row85 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row85_col2\" class=\"data row85 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row85_col3\" class=\"data row85 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row85_col4\" class=\"data row85 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row85_col5\" class=\"data row85 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row85_col6\" class=\"data row85 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row85_col7\" class=\"data row85 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row85_col8\" class=\"data row85 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row85_col9\" class=\"data row85 col9\" >11111111101010010</td>\n",
              "      <td id=\"T_13bcf_row85_col10\" class=\"data row85 col10\" >-71.830000</td>\n",
              "      <td id=\"T_13bcf_row85_col11\" class=\"data row85 col11\" >320.660000</td>\n",
              "      <td id=\"T_13bcf_row85_col12\" class=\"data row85 col12\" >29</td>\n",
              "      <td id=\"T_13bcf_row85_col13\" class=\"data row85 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row86\" class=\"row_heading level0 row86\" >238</th>\n",
              "      <td id=\"T_13bcf_row86_col0\" class=\"data row86 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row86_col1\" class=\"data row86 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row86_col2\" class=\"data row86 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row86_col3\" class=\"data row86 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row86_col4\" class=\"data row86 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row86_col5\" class=\"data row86 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row86_col6\" class=\"data row86 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row86_col7\" class=\"data row86 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row86_col8\" class=\"data row86 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row86_col9\" class=\"data row86 col9\" >11000101111010010</td>\n",
              "      <td id=\"T_13bcf_row86_col10\" class=\"data row86 col10\" >-91.560000</td>\n",
              "      <td id=\"T_13bcf_row86_col11\" class=\"data row86 col11\" >333.190000</td>\n",
              "      <td id=\"T_13bcf_row86_col12\" class=\"data row86 col12\" >30</td>\n",
              "      <td id=\"T_13bcf_row86_col13\" class=\"data row86 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row87\" class=\"row_heading level0 row87\" >239</th>\n",
              "      <td id=\"T_13bcf_row87_col0\" class=\"data row87 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row87_col1\" class=\"data row87 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row87_col2\" class=\"data row87 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row87_col3\" class=\"data row87 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row87_col4\" class=\"data row87 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row87_col5\" class=\"data row87 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row87_col6\" class=\"data row87 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row87_col7\" class=\"data row87 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row87_col8\" class=\"data row87 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row87_col9\" class=\"data row87 col9\" >00000100000111101</td>\n",
              "      <td id=\"T_13bcf_row87_col10\" class=\"data row87 col10\" >-83.130000</td>\n",
              "      <td id=\"T_13bcf_row87_col11\" class=\"data row87 col11\" >1083.500000</td>\n",
              "      <td id=\"T_13bcf_row87_col12\" class=\"data row87 col12\" >31</td>\n",
              "      <td id=\"T_13bcf_row87_col13\" class=\"data row87 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row88\" class=\"row_heading level0 row88\" >240</th>\n",
              "      <td id=\"T_13bcf_row88_col0\" class=\"data row88 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row88_col1\" class=\"data row88 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row88_col2\" class=\"data row88 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row88_col3\" class=\"data row88 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row88_col4\" class=\"data row88 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row88_col5\" class=\"data row88 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row88_col6\" class=\"data row88 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row88_col7\" class=\"data row88 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row88_col8\" class=\"data row88 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row88_col9\" class=\"data row88 col9\" >11100101111010010</td>\n",
              "      <td id=\"T_13bcf_row88_col10\" class=\"data row88 col10\" >-104.920000</td>\n",
              "      <td id=\"T_13bcf_row88_col11\" class=\"data row88 col11\" >745.310000</td>\n",
              "      <td id=\"T_13bcf_row88_col12\" class=\"data row88 col12\" >32</td>\n",
              "      <td id=\"T_13bcf_row88_col13\" class=\"data row88 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row89\" class=\"row_heading level0 row89\" >241</th>\n",
              "      <td id=\"T_13bcf_row89_col0\" class=\"data row89 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row89_col1\" class=\"data row89 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row89_col2\" class=\"data row89 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row89_col3\" class=\"data row89 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row89_col4\" class=\"data row89 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row89_col5\" class=\"data row89 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row89_col6\" class=\"data row89 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row89_col7\" class=\"data row89 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row89_col8\" class=\"data row89 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row89_col9\" class=\"data row89 col9\" >00100000011110111</td>\n",
              "      <td id=\"T_13bcf_row89_col10\" class=\"data row89 col10\" >-68.040000</td>\n",
              "      <td id=\"T_13bcf_row89_col11\" class=\"data row89 col11\" >375.800000</td>\n",
              "      <td id=\"T_13bcf_row89_col12\" class=\"data row89 col12\" >33</td>\n",
              "      <td id=\"T_13bcf_row89_col13\" class=\"data row89 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row90\" class=\"row_heading level0 row90\" >242</th>\n",
              "      <td id=\"T_13bcf_row90_col0\" class=\"data row90 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row90_col1\" class=\"data row90 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row90_col2\" class=\"data row90 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row90_col3\" class=\"data row90 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row90_col4\" class=\"data row90 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row90_col5\" class=\"data row90 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row90_col6\" class=\"data row90 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row90_col7\" class=\"data row90 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row90_col8\" class=\"data row90 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row90_col9\" class=\"data row90 col9\" >11100001111010010</td>\n",
              "      <td id=\"T_13bcf_row90_col10\" class=\"data row90 col10\" >-89.720000</td>\n",
              "      <td id=\"T_13bcf_row90_col11\" class=\"data row90 col11\" >386.820000</td>\n",
              "      <td id=\"T_13bcf_row90_col12\" class=\"data row90 col12\" >34</td>\n",
              "      <td id=\"T_13bcf_row90_col13\" class=\"data row90 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row91\" class=\"row_heading level0 row91\" >243</th>\n",
              "      <td id=\"T_13bcf_row91_col0\" class=\"data row91 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row91_col1\" class=\"data row91 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row91_col2\" class=\"data row91 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row91_col3\" class=\"data row91 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row91_col4\" class=\"data row91 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row91_col5\" class=\"data row91 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row91_col6\" class=\"data row91 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row91_col7\" class=\"data row91 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row91_col8\" class=\"data row91 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row91_col9\" class=\"data row91 col9\" >00101100000101101</td>\n",
              "      <td id=\"T_13bcf_row91_col10\" class=\"data row91 col10\" >-95.990000</td>\n",
              "      <td id=\"T_13bcf_row91_col11\" class=\"data row91 col11\" >411.000000</td>\n",
              "      <td id=\"T_13bcf_row91_col12\" class=\"data row91 col12\" >35</td>\n",
              "      <td id=\"T_13bcf_row91_col13\" class=\"data row91 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row92\" class=\"row_heading level0 row92\" >244</th>\n",
              "      <td id=\"T_13bcf_row92_col0\" class=\"data row92 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row92_col1\" class=\"data row92 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row92_col2\" class=\"data row92 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row92_col3\" class=\"data row92 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row92_col4\" class=\"data row92 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row92_col5\" class=\"data row92 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row92_col6\" class=\"data row92 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row92_col7\" class=\"data row92 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row92_col8\" class=\"data row92 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row92_col9\" class=\"data row92 col9\" >11110011101110011</td>\n",
              "      <td id=\"T_13bcf_row92_col10\" class=\"data row92 col10\" >-77.890000</td>\n",
              "      <td id=\"T_13bcf_row92_col11\" class=\"data row92 col11\" >1309.820000</td>\n",
              "      <td id=\"T_13bcf_row92_col12\" class=\"data row92 col12\" >36</td>\n",
              "      <td id=\"T_13bcf_row92_col13\" class=\"data row92 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row93\" class=\"row_heading level0 row93\" >245</th>\n",
              "      <td id=\"T_13bcf_row93_col0\" class=\"data row93 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row93_col1\" class=\"data row93 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row93_col2\" class=\"data row93 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row93_col3\" class=\"data row93 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row93_col4\" class=\"data row93 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row93_col5\" class=\"data row93 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row93_col6\" class=\"data row93 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row93_col7\" class=\"data row93 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row93_col8\" class=\"data row93 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row93_col9\" class=\"data row93 col9\" >11111011111010010</td>\n",
              "      <td id=\"T_13bcf_row93_col10\" class=\"data row93 col10\" >-82.470000</td>\n",
              "      <td id=\"T_13bcf_row93_col11\" class=\"data row93 col11\" >892.830000</td>\n",
              "      <td id=\"T_13bcf_row93_col12\" class=\"data row93 col12\" >37</td>\n",
              "      <td id=\"T_13bcf_row93_col13\" class=\"data row93 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row94\" class=\"row_heading level0 row94\" >246</th>\n",
              "      <td id=\"T_13bcf_row94_col0\" class=\"data row94 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row94_col1\" class=\"data row94 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row94_col2\" class=\"data row94 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row94_col3\" class=\"data row94 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row94_col4\" class=\"data row94 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row94_col5\" class=\"data row94 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row94_col6\" class=\"data row94 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row94_col7\" class=\"data row94 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row94_col8\" class=\"data row94 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row94_col9\" class=\"data row94 col9\" >11100011111010010</td>\n",
              "      <td id=\"T_13bcf_row94_col10\" class=\"data row94 col10\" >-94.800000</td>\n",
              "      <td id=\"T_13bcf_row94_col11\" class=\"data row94 col11\" >457.830000</td>\n",
              "      <td id=\"T_13bcf_row94_col12\" class=\"data row94 col12\" >38</td>\n",
              "      <td id=\"T_13bcf_row94_col13\" class=\"data row94 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row95\" class=\"row_heading level0 row95\" >247</th>\n",
              "      <td id=\"T_13bcf_row95_col0\" class=\"data row95 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row95_col1\" class=\"data row95 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row95_col2\" class=\"data row95 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row95_col3\" class=\"data row95 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row95_col4\" class=\"data row95 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row95_col5\" class=\"data row95 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row95_col6\" class=\"data row95 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row95_col7\" class=\"data row95 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row95_col8\" class=\"data row95 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row95_col9\" class=\"data row95 col9\" >00001100000011101</td>\n",
              "      <td id=\"T_13bcf_row95_col10\" class=\"data row95 col10\" >-75.620000</td>\n",
              "      <td id=\"T_13bcf_row95_col11\" class=\"data row95 col11\" >963.290000</td>\n",
              "      <td id=\"T_13bcf_row95_col12\" class=\"data row95 col12\" >39</td>\n",
              "      <td id=\"T_13bcf_row95_col13\" class=\"data row95 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row96\" class=\"row_heading level0 row96\" >248</th>\n",
              "      <td id=\"T_13bcf_row96_col0\" class=\"data row96 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row96_col1\" class=\"data row96 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row96_col2\" class=\"data row96 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row96_col3\" class=\"data row96 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row96_col4\" class=\"data row96 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row96_col5\" class=\"data row96 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row96_col6\" class=\"data row96 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row96_col7\" class=\"data row96 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row96_col8\" class=\"data row96 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row96_col9\" class=\"data row96 col9\" >11011111111100010</td>\n",
              "      <td id=\"T_13bcf_row96_col10\" class=\"data row96 col10\" >-88.180000</td>\n",
              "      <td id=\"T_13bcf_row96_col11\" class=\"data row96 col11\" >997.190000</td>\n",
              "      <td id=\"T_13bcf_row96_col12\" class=\"data row96 col12\" >40</td>\n",
              "      <td id=\"T_13bcf_row96_col13\" class=\"data row96 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row97\" class=\"row_heading level0 row97\" >249</th>\n",
              "      <td id=\"T_13bcf_row97_col0\" class=\"data row97 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row97_col1\" class=\"data row97 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row97_col2\" class=\"data row97 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row97_col3\" class=\"data row97 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row97_col4\" class=\"data row97 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row97_col5\" class=\"data row97 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row97_col6\" class=\"data row97 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row97_col7\" class=\"data row97 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row97_col8\" class=\"data row97 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row97_col9\" class=\"data row97 col9\" >11000101111000010</td>\n",
              "      <td id=\"T_13bcf_row97_col10\" class=\"data row97 col10\" >-73.500000</td>\n",
              "      <td id=\"T_13bcf_row97_col11\" class=\"data row97 col11\" >509.270000</td>\n",
              "      <td id=\"T_13bcf_row97_col12\" class=\"data row97 col12\" >41</td>\n",
              "      <td id=\"T_13bcf_row97_col13\" class=\"data row97 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row98\" class=\"row_heading level0 row98\" >250</th>\n",
              "      <td id=\"T_13bcf_row98_col0\" class=\"data row98 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row98_col1\" class=\"data row98 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row98_col2\" class=\"data row98 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row98_col3\" class=\"data row98 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row98_col4\" class=\"data row98 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row98_col5\" class=\"data row98 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row98_col6\" class=\"data row98 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row98_col7\" class=\"data row98 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row98_col8\" class=\"data row98 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row98_col9\" class=\"data row98 col9\" >11101101111100011</td>\n",
              "      <td id=\"T_13bcf_row98_col10\" class=\"data row98 col10\" >-75.840000</td>\n",
              "      <td id=\"T_13bcf_row98_col11\" class=\"data row98 col11\" >1064.750000</td>\n",
              "      <td id=\"T_13bcf_row98_col12\" class=\"data row98 col12\" >42</td>\n",
              "      <td id=\"T_13bcf_row98_col13\" class=\"data row98 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row99\" class=\"row_heading level0 row99\" >251</th>\n",
              "      <td id=\"T_13bcf_row99_col0\" class=\"data row99 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row99_col1\" class=\"data row99 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row99_col2\" class=\"data row99 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row99_col3\" class=\"data row99 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row99_col4\" class=\"data row99 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row99_col5\" class=\"data row99 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row99_col6\" class=\"data row99 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row99_col7\" class=\"data row99 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row99_col8\" class=\"data row99 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row99_col9\" class=\"data row99 col9\" >11000001100011100</td>\n",
              "      <td id=\"T_13bcf_row99_col10\" class=\"data row99 col10\" >-73.690000</td>\n",
              "      <td id=\"T_13bcf_row99_col11\" class=\"data row99 col11\" >543.320000</td>\n",
              "      <td id=\"T_13bcf_row99_col12\" class=\"data row99 col12\" >43</td>\n",
              "      <td id=\"T_13bcf_row99_col13\" class=\"data row99 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row100\" class=\"row_heading level0 row100\" >252</th>\n",
              "      <td id=\"T_13bcf_row100_col0\" class=\"data row100 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row100_col1\" class=\"data row100 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row100_col2\" class=\"data row100 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row100_col3\" class=\"data row100 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row100_col4\" class=\"data row100 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row100_col5\" class=\"data row100 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row100_col6\" class=\"data row100 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row100_col7\" class=\"data row100 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row100_col8\" class=\"data row100 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row100_col9\" class=\"data row100 col9\" >11110011111010010</td>\n",
              "      <td id=\"T_13bcf_row100_col10\" class=\"data row100 col10\" >-106.450000</td>\n",
              "      <td id=\"T_13bcf_row100_col11\" class=\"data row100 col11\" >562.370000</td>\n",
              "      <td id=\"T_13bcf_row100_col12\" class=\"data row100 col12\" >44</td>\n",
              "      <td id=\"T_13bcf_row100_col13\" class=\"data row100 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row101\" class=\"row_heading level0 row101\" >253</th>\n",
              "      <td id=\"T_13bcf_row101_col0\" class=\"data row101 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row101_col1\" class=\"data row101 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row101_col2\" class=\"data row101 col2\" >11001101110001000</td>\n",
              "      <td id=\"T_13bcf_row101_col3\" class=\"data row101 col3\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row101_col4\" class=\"data row101 col4\" >13.820000</td>\n",
              "      <td id=\"T_13bcf_row101_col5\" class=\"data row101 col5\" >00110010001110111</td>\n",
              "      <td id=\"T_13bcf_row101_col6\" class=\"data row101 col6\" >-108.530000</td>\n",
              "      <td id=\"T_13bcf_row101_col7\" class=\"data row101 col7\" >11.110000</td>\n",
              "      <td id=\"T_13bcf_row101_col8\" class=\"data row101 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row101_col9\" class=\"data row101 col9\" >00000000000111101</td>\n",
              "      <td id=\"T_13bcf_row101_col10\" class=\"data row101 col10\" >-94.150000</td>\n",
              "      <td id=\"T_13bcf_row101_col11\" class=\"data row101 col11\" >2387.010000</td>\n",
              "      <td id=\"T_13bcf_row101_col12\" class=\"data row101 col12\" >45</td>\n",
              "      <td id=\"T_13bcf_row101_col13\" class=\"data row101 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row102\" class=\"row_heading level0 row102\" >255</th>\n",
              "      <td id=\"T_13bcf_row102_col0\" class=\"data row102 col0\" >laplace</td>\n",
              "      <td id=\"T_13bcf_row102_col1\" class=\"data row102 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row102_col2\" class=\"data row102 col2\" >110111010000000110</td>\n",
              "      <td id=\"T_13bcf_row102_col3\" class=\"data row102 col3\" >-123.960000</td>\n",
              "      <td id=\"T_13bcf_row102_col4\" class=\"data row102 col4\" >32.130000</td>\n",
              "      <td id=\"T_13bcf_row102_col5\" class=\"data row102 col5\" >110111010000000110</td>\n",
              "      <td id=\"T_13bcf_row102_col6\" class=\"data row102 col6\" >-123.960000</td>\n",
              "      <td id=\"T_13bcf_row102_col7\" class=\"data row102 col7\" >24.080000</td>\n",
              "      <td id=\"T_13bcf_row102_col8\" class=\"data row102 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row102_col9\" class=\"data row102 col9\" >101011010100110111</td>\n",
              "      <td id=\"T_13bcf_row102_col10\" class=\"data row102 col10\" >-85.230000</td>\n",
              "      <td id=\"T_13bcf_row102_col11\" class=\"data row102 col11\" >12.750000</td>\n",
              "      <td id=\"T_13bcf_row102_col12\" class=\"data row102 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row102_col13\" class=\"data row102 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row103\" class=\"row_heading level0 row103\" >5</th>\n",
              "      <td id=\"T_13bcf_row103_col0\" class=\"data row103 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row103_col1\" class=\"data row103 col1\" >2</td>\n",
              "      <td id=\"T_13bcf_row103_col2\" class=\"data row103 col2\" >10</td>\n",
              "      <td id=\"T_13bcf_row103_col3\" class=\"data row103 col3\" >-5.430000</td>\n",
              "      <td id=\"T_13bcf_row103_col4\" class=\"data row103 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row103_col5\" class=\"data row103 col5\" >10</td>\n",
              "      <td id=\"T_13bcf_row103_col6\" class=\"data row103 col6\" >-5.430000</td>\n",
              "      <td id=\"T_13bcf_row103_col7\" class=\"data row103 col7\" >0.040000</td>\n",
              "      <td id=\"T_13bcf_row103_col8\" class=\"data row103 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row103_col9\" class=\"data row103 col9\" >10</td>\n",
              "      <td id=\"T_13bcf_row103_col10\" class=\"data row103 col10\" >-5.430000</td>\n",
              "      <td id=\"T_13bcf_row103_col11\" class=\"data row103 col11\" >0.160000</td>\n",
              "      <td id=\"T_13bcf_row103_col12\" class=\"data row103 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row103_col13\" class=\"data row103 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row104\" class=\"row_heading level0 row104\" >6</th>\n",
              "      <td id=\"T_13bcf_row104_col0\" class=\"data row104 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row104_col1\" class=\"data row104 col1\" >3</td>\n",
              "      <td id=\"T_13bcf_row104_col2\" class=\"data row104 col2\" >010</td>\n",
              "      <td id=\"T_13bcf_row104_col3\" class=\"data row104 col3\" >-4.020000</td>\n",
              "      <td id=\"T_13bcf_row104_col4\" class=\"data row104 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row104_col5\" class=\"data row104 col5\" >010</td>\n",
              "      <td id=\"T_13bcf_row104_col6\" class=\"data row104 col6\" >-4.020000</td>\n",
              "      <td id=\"T_13bcf_row104_col7\" class=\"data row104 col7\" >0.090000</td>\n",
              "      <td id=\"T_13bcf_row104_col8\" class=\"data row104 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row104_col9\" class=\"data row104 col9\" >010</td>\n",
              "      <td id=\"T_13bcf_row104_col10\" class=\"data row104 col10\" >-4.020000</td>\n",
              "      <td id=\"T_13bcf_row104_col11\" class=\"data row104 col11\" >0.520000</td>\n",
              "      <td id=\"T_13bcf_row104_col12\" class=\"data row104 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row104_col13\" class=\"data row104 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row105\" class=\"row_heading level0 row105\" >7</th>\n",
              "      <td id=\"T_13bcf_row105_col0\" class=\"data row105 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row105_col1\" class=\"data row105 col1\" >4</td>\n",
              "      <td id=\"T_13bcf_row105_col2\" class=\"data row105 col2\" >0100</td>\n",
              "      <td id=\"T_13bcf_row105_col3\" class=\"data row105 col3\" >-15.850000</td>\n",
              "      <td id=\"T_13bcf_row105_col4\" class=\"data row105 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row105_col5\" class=\"data row105 col5\" >0100</td>\n",
              "      <td id=\"T_13bcf_row105_col6\" class=\"data row105 col6\" >-15.850000</td>\n",
              "      <td id=\"T_13bcf_row105_col7\" class=\"data row105 col7\" >0.190000</td>\n",
              "      <td id=\"T_13bcf_row105_col8\" class=\"data row105 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row105_col9\" class=\"data row105 col9\" >0100</td>\n",
              "      <td id=\"T_13bcf_row105_col10\" class=\"data row105 col10\" >-15.850000</td>\n",
              "      <td id=\"T_13bcf_row105_col11\" class=\"data row105 col11\" >0.570000</td>\n",
              "      <td id=\"T_13bcf_row105_col12\" class=\"data row105 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row105_col13\" class=\"data row105 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row106\" class=\"row_heading level0 row106\" >8</th>\n",
              "      <td id=\"T_13bcf_row106_col0\" class=\"data row106 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row106_col1\" class=\"data row106 col1\" >5</td>\n",
              "      <td id=\"T_13bcf_row106_col2\" class=\"data row106 col2\" >01010</td>\n",
              "      <td id=\"T_13bcf_row106_col3\" class=\"data row106 col3\" >-25.510000</td>\n",
              "      <td id=\"T_13bcf_row106_col4\" class=\"data row106 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row106_col5\" class=\"data row106 col5\" >10101</td>\n",
              "      <td id=\"T_13bcf_row106_col6\" class=\"data row106 col6\" >-25.510000</td>\n",
              "      <td id=\"T_13bcf_row106_col7\" class=\"data row106 col7\" >0.040000</td>\n",
              "      <td id=\"T_13bcf_row106_col8\" class=\"data row106 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row106_col9\" class=\"data row106 col9\" >01010</td>\n",
              "      <td id=\"T_13bcf_row106_col10\" class=\"data row106 col10\" >-25.510000</td>\n",
              "      <td id=\"T_13bcf_row106_col11\" class=\"data row106 col11\" >0.220000</td>\n",
              "      <td id=\"T_13bcf_row106_col12\" class=\"data row106 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row106_col13\" class=\"data row106 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row107\" class=\"row_heading level0 row107\" >9</th>\n",
              "      <td id=\"T_13bcf_row107_col0\" class=\"data row107 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row107_col1\" class=\"data row107 col1\" >6</td>\n",
              "      <td id=\"T_13bcf_row107_col2\" class=\"data row107 col2\" >000110</td>\n",
              "      <td id=\"T_13bcf_row107_col3\" class=\"data row107 col3\" >-33.520000</td>\n",
              "      <td id=\"T_13bcf_row107_col4\" class=\"data row107 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row107_col5\" class=\"data row107 col5\" >111001</td>\n",
              "      <td id=\"T_13bcf_row107_col6\" class=\"data row107 col6\" >-33.520000</td>\n",
              "      <td id=\"T_13bcf_row107_col7\" class=\"data row107 col7\" >0.050000</td>\n",
              "      <td id=\"T_13bcf_row107_col8\" class=\"data row107 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row107_col9\" class=\"data row107 col9\" >000110</td>\n",
              "      <td id=\"T_13bcf_row107_col10\" class=\"data row107 col10\" >-33.520000</td>\n",
              "      <td id=\"T_13bcf_row107_col11\" class=\"data row107 col11\" >0.330000</td>\n",
              "      <td id=\"T_13bcf_row107_col12\" class=\"data row107 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row107_col13\" class=\"data row107 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row108\" class=\"row_heading level0 row108\" >10</th>\n",
              "      <td id=\"T_13bcf_row108_col0\" class=\"data row108 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row108_col1\" class=\"data row108 col1\" >7</td>\n",
              "      <td id=\"T_13bcf_row108_col2\" class=\"data row108 col2\" >0100100</td>\n",
              "      <td id=\"T_13bcf_row108_col3\" class=\"data row108 col3\" >-22.710000</td>\n",
              "      <td id=\"T_13bcf_row108_col4\" class=\"data row108 col4\" >0.000000</td>\n",
              "      <td id=\"T_13bcf_row108_col5\" class=\"data row108 col5\" >1011011</td>\n",
              "      <td id=\"T_13bcf_row108_col6\" class=\"data row108 col6\" >-22.710000</td>\n",
              "      <td id=\"T_13bcf_row108_col7\" class=\"data row108 col7\" >0.060000</td>\n",
              "      <td id=\"T_13bcf_row108_col8\" class=\"data row108 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row108_col9\" class=\"data row108 col9\" >0100100</td>\n",
              "      <td id=\"T_13bcf_row108_col10\" class=\"data row108 col10\" >-22.710000</td>\n",
              "      <td id=\"T_13bcf_row108_col11\" class=\"data row108 col11\" >0.560000</td>\n",
              "      <td id=\"T_13bcf_row108_col12\" class=\"data row108 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row108_col13\" class=\"data row108 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row109\" class=\"row_heading level0 row109\" >11</th>\n",
              "      <td id=\"T_13bcf_row109_col0\" class=\"data row109 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row109_col1\" class=\"data row109 col1\" >8</td>\n",
              "      <td id=\"T_13bcf_row109_col2\" class=\"data row109 col2\" >10101010</td>\n",
              "      <td id=\"T_13bcf_row109_col3\" class=\"data row109 col3\" >-32.980000</td>\n",
              "      <td id=\"T_13bcf_row109_col4\" class=\"data row109 col4\" >0.010000</td>\n",
              "      <td id=\"T_13bcf_row109_col5\" class=\"data row109 col5\" >10101010</td>\n",
              "      <td id=\"T_13bcf_row109_col6\" class=\"data row109 col6\" >-32.980000</td>\n",
              "      <td id=\"T_13bcf_row109_col7\" class=\"data row109 col7\" >0.070000</td>\n",
              "      <td id=\"T_13bcf_row109_col8\" class=\"data row109 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row109_col9\" class=\"data row109 col9\" >01010101</td>\n",
              "      <td id=\"T_13bcf_row109_col10\" class=\"data row109 col10\" >-32.980000</td>\n",
              "      <td id=\"T_13bcf_row109_col11\" class=\"data row109 col11\" >0.950000</td>\n",
              "      <td id=\"T_13bcf_row109_col12\" class=\"data row109 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row109_col13\" class=\"data row109 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row110\" class=\"row_heading level0 row110\" >12</th>\n",
              "      <td id=\"T_13bcf_row110_col0\" class=\"data row110 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row110_col1\" class=\"data row110 col1\" >9</td>\n",
              "      <td id=\"T_13bcf_row110_col2\" class=\"data row110 col2\" >111111100</td>\n",
              "      <td id=\"T_13bcf_row110_col3\" class=\"data row110 col3\" >-50.240000</td>\n",
              "      <td id=\"T_13bcf_row110_col4\" class=\"data row110 col4\" >0.020000</td>\n",
              "      <td id=\"T_13bcf_row110_col5\" class=\"data row110 col5\" >111111100</td>\n",
              "      <td id=\"T_13bcf_row110_col6\" class=\"data row110 col6\" >-50.240000</td>\n",
              "      <td id=\"T_13bcf_row110_col7\" class=\"data row110 col7\" >0.090000</td>\n",
              "      <td id=\"T_13bcf_row110_col8\" class=\"data row110 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row110_col9\" class=\"data row110 col9\" >111111100</td>\n",
              "      <td id=\"T_13bcf_row110_col10\" class=\"data row110 col10\" >-50.240000</td>\n",
              "      <td id=\"T_13bcf_row110_col11\" class=\"data row110 col11\" >1.630000</td>\n",
              "      <td id=\"T_13bcf_row110_col12\" class=\"data row110 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row110_col13\" class=\"data row110 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row111\" class=\"row_heading level0 row111\" >0</th>\n",
              "      <td id=\"T_13bcf_row111_col0\" class=\"data row111 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row111_col1\" class=\"data row111 col1\" >10</td>\n",
              "      <td id=\"T_13bcf_row111_col2\" class=\"data row111 col2\" >1011001000</td>\n",
              "      <td id=\"T_13bcf_row111_col3\" class=\"data row111 col3\" >-66.820000</td>\n",
              "      <td id=\"T_13bcf_row111_col4\" class=\"data row111 col4\" >0.040000</td>\n",
              "      <td id=\"T_13bcf_row111_col5\" class=\"data row111 col5\" >1011001000</td>\n",
              "      <td id=\"T_13bcf_row111_col6\" class=\"data row111 col6\" >-66.820000</td>\n",
              "      <td id=\"T_13bcf_row111_col7\" class=\"data row111 col7\" >0.170000</td>\n",
              "      <td id=\"T_13bcf_row111_col8\" class=\"data row111 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row111_col9\" class=\"data row111 col9\" >1011001000</td>\n",
              "      <td id=\"T_13bcf_row111_col10\" class=\"data row111 col10\" >-66.820000</td>\n",
              "      <td id=\"T_13bcf_row111_col11\" class=\"data row111 col11\" >3.740000</td>\n",
              "      <td id=\"T_13bcf_row111_col12\" class=\"data row111 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row111_col13\" class=\"data row111 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row112\" class=\"row_heading level0 row112\" >1</th>\n",
              "      <td id=\"T_13bcf_row112_col0\" class=\"data row112 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row112_col1\" class=\"data row112 col1\" >11</td>\n",
              "      <td id=\"T_13bcf_row112_col2\" class=\"data row112 col2\" >10110100000</td>\n",
              "      <td id=\"T_13bcf_row112_col3\" class=\"data row112 col3\" >-68.550000</td>\n",
              "      <td id=\"T_13bcf_row112_col4\" class=\"data row112 col4\" >0.090000</td>\n",
              "      <td id=\"T_13bcf_row112_col5\" class=\"data row112 col5\" >01001011111</td>\n",
              "      <td id=\"T_13bcf_row112_col6\" class=\"data row112 col6\" >-68.550000</td>\n",
              "      <td id=\"T_13bcf_row112_col7\" class=\"data row112 col7\" >0.200000</td>\n",
              "      <td id=\"T_13bcf_row112_col8\" class=\"data row112 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row112_col9\" class=\"data row112 col9\" >10110100000</td>\n",
              "      <td id=\"T_13bcf_row112_col10\" class=\"data row112 col10\" >-68.550000</td>\n",
              "      <td id=\"T_13bcf_row112_col11\" class=\"data row112 col11\" >3.470000</td>\n",
              "      <td id=\"T_13bcf_row112_col12\" class=\"data row112 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row112_col13\" class=\"data row112 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row113\" class=\"row_heading level0 row113\" >2</th>\n",
              "      <td id=\"T_13bcf_row113_col0\" class=\"data row113 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row113_col1\" class=\"data row113 col1\" >12</td>\n",
              "      <td id=\"T_13bcf_row113_col2\" class=\"data row113 col2\" >101110000000</td>\n",
              "      <td id=\"T_13bcf_row113_col3\" class=\"data row113 col3\" >-55.280000</td>\n",
              "      <td id=\"T_13bcf_row113_col4\" class=\"data row113 col4\" >0.230000</td>\n",
              "      <td id=\"T_13bcf_row113_col5\" class=\"data row113 col5\" >010001111111</td>\n",
              "      <td id=\"T_13bcf_row113_col6\" class=\"data row113 col6\" >-55.280000</td>\n",
              "      <td id=\"T_13bcf_row113_col7\" class=\"data row113 col7\" >0.310000</td>\n",
              "      <td id=\"T_13bcf_row113_col8\" class=\"data row113 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row113_col9\" class=\"data row113 col9\" >100010100101</td>\n",
              "      <td id=\"T_13bcf_row113_col10\" class=\"data row113 col10\" >-50.060000</td>\n",
              "      <td id=\"T_13bcf_row113_col11\" class=\"data row113 col11\" >4.670000</td>\n",
              "      <td id=\"T_13bcf_row113_col12\" class=\"data row113 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row113_col13\" class=\"data row113 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row114\" class=\"row_heading level0 row114\" >3</th>\n",
              "      <td id=\"T_13bcf_row114_col0\" class=\"data row114 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row114_col1\" class=\"data row114 col1\" >12</td>\n",
              "      <td id=\"T_13bcf_row114_col2\" class=\"data row114 col2\" >101110000000</td>\n",
              "      <td id=\"T_13bcf_row114_col3\" class=\"data row114 col3\" >-55.280000</td>\n",
              "      <td id=\"T_13bcf_row114_col4\" class=\"data row114 col4\" >0.230000</td>\n",
              "      <td id=\"T_13bcf_row114_col5\" class=\"data row114 col5\" >010001111111</td>\n",
              "      <td id=\"T_13bcf_row114_col6\" class=\"data row114 col6\" >-55.280000</td>\n",
              "      <td id=\"T_13bcf_row114_col7\" class=\"data row114 col7\" >0.310000</td>\n",
              "      <td id=\"T_13bcf_row114_col8\" class=\"data row114 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row114_col9\" class=\"data row114 col9\" >000011010111</td>\n",
              "      <td id=\"T_13bcf_row114_col10\" class=\"data row114 col10\" >-40.780000</td>\n",
              "      <td id=\"T_13bcf_row114_col11\" class=\"data row114 col11\" >6.990000</td>\n",
              "      <td id=\"T_13bcf_row114_col12\" class=\"data row114 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row114_col13\" class=\"data row114 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row115\" class=\"row_heading level0 row115\" >4</th>\n",
              "      <td id=\"T_13bcf_row115_col0\" class=\"data row115 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row115_col1\" class=\"data row115 col1\" >12</td>\n",
              "      <td id=\"T_13bcf_row115_col2\" class=\"data row115 col2\" >101110000000</td>\n",
              "      <td id=\"T_13bcf_row115_col3\" class=\"data row115 col3\" >-55.280000</td>\n",
              "      <td id=\"T_13bcf_row115_col4\" class=\"data row115 col4\" >0.230000</td>\n",
              "      <td id=\"T_13bcf_row115_col5\" class=\"data row115 col5\" >010001111111</td>\n",
              "      <td id=\"T_13bcf_row115_col6\" class=\"data row115 col6\" >-55.280000</td>\n",
              "      <td id=\"T_13bcf_row115_col7\" class=\"data row115 col7\" >0.310000</td>\n",
              "      <td id=\"T_13bcf_row115_col8\" class=\"data row115 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row115_col9\" class=\"data row115 col9\" >101110000000</td>\n",
              "      <td id=\"T_13bcf_row115_col10\" class=\"data row115 col10\" >-55.280000</td>\n",
              "      <td id=\"T_13bcf_row115_col11\" class=\"data row115 col11\" >9.220000</td>\n",
              "      <td id=\"T_13bcf_row115_col12\" class=\"data row115 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row115_col13\" class=\"data row115 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row116\" class=\"row_heading level0 row116\" >13</th>\n",
              "      <td id=\"T_13bcf_row116_col0\" class=\"data row116 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row116_col1\" class=\"data row116 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row116_col2\" class=\"data row116 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row116_col3\" class=\"data row116 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row116_col4\" class=\"data row116 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row116_col5\" class=\"data row116 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row116_col6\" class=\"data row116 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row116_col7\" class=\"data row116 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row116_col8\" class=\"data row116 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row116_col9\" class=\"data row116 col9\" >1011010010001</td>\n",
              "      <td id=\"T_13bcf_row116_col10\" class=\"data row116 col10\" >-71.240000</td>\n",
              "      <td id=\"T_13bcf_row116_col11\" class=\"data row116 col11\" >5.780000</td>\n",
              "      <td id=\"T_13bcf_row116_col12\" class=\"data row116 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row116_col13\" class=\"data row116 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row117\" class=\"row_heading level0 row117\" >14</th>\n",
              "      <td id=\"T_13bcf_row117_col0\" class=\"data row117 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row117_col1\" class=\"data row117 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row117_col2\" class=\"data row117 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row117_col3\" class=\"data row117 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row117_col4\" class=\"data row117 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row117_col5\" class=\"data row117 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row117_col6\" class=\"data row117 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row117_col7\" class=\"data row117 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row117_col8\" class=\"data row117 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row117_col9\" class=\"data row117 col9\" >1011010010001</td>\n",
              "      <td id=\"T_13bcf_row117_col10\" class=\"data row117 col10\" >-71.240000</td>\n",
              "      <td id=\"T_13bcf_row117_col11\" class=\"data row117 col11\" >8.810000</td>\n",
              "      <td id=\"T_13bcf_row117_col12\" class=\"data row117 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row117_col13\" class=\"data row117 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row118\" class=\"row_heading level0 row118\" >15</th>\n",
              "      <td id=\"T_13bcf_row118_col0\" class=\"data row118 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row118_col1\" class=\"data row118 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row118_col2\" class=\"data row118 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row118_col3\" class=\"data row118 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row118_col4\" class=\"data row118 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row118_col5\" class=\"data row118 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row118_col6\" class=\"data row118 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row118_col7\" class=\"data row118 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row118_col8\" class=\"data row118 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row118_col9\" class=\"data row118 col9\" >1011000000000</td>\n",
              "      <td id=\"T_13bcf_row118_col10\" class=\"data row118 col10\" >-72.580000</td>\n",
              "      <td id=\"T_13bcf_row118_col11\" class=\"data row118 col11\" >12.950000</td>\n",
              "      <td id=\"T_13bcf_row118_col12\" class=\"data row118 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row118_col13\" class=\"data row118 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row119\" class=\"row_heading level0 row119\" >16</th>\n",
              "      <td id=\"T_13bcf_row119_col0\" class=\"data row119 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row119_col1\" class=\"data row119 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row119_col2\" class=\"data row119 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row119_col3\" class=\"data row119 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row119_col4\" class=\"data row119 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row119_col5\" class=\"data row119 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row119_col6\" class=\"data row119 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row119_col7\" class=\"data row119 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row119_col8\" class=\"data row119 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row119_col9\" class=\"data row119 col9\" >1011000000000</td>\n",
              "      <td id=\"T_13bcf_row119_col10\" class=\"data row119 col10\" >-72.580000</td>\n",
              "      <td id=\"T_13bcf_row119_col11\" class=\"data row119 col11\" >18.370000</td>\n",
              "      <td id=\"T_13bcf_row119_col12\" class=\"data row119 col12\" >4</td>\n",
              "      <td id=\"T_13bcf_row119_col13\" class=\"data row119 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row120\" class=\"row_heading level0 row120\" >17</th>\n",
              "      <td id=\"T_13bcf_row120_col0\" class=\"data row120 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row120_col1\" class=\"data row120 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row120_col2\" class=\"data row120 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row120_col3\" class=\"data row120 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row120_col4\" class=\"data row120 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row120_col5\" class=\"data row120 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row120_col6\" class=\"data row120 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row120_col7\" class=\"data row120 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row120_col8\" class=\"data row120 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row120_col9\" class=\"data row120 col9\" >0100101101110</td>\n",
              "      <td id=\"T_13bcf_row120_col10\" class=\"data row120 col10\" >-71.240000</td>\n",
              "      <td id=\"T_13bcf_row120_col11\" class=\"data row120 col11\" >21.110000</td>\n",
              "      <td id=\"T_13bcf_row120_col12\" class=\"data row120 col12\" >5</td>\n",
              "      <td id=\"T_13bcf_row120_col13\" class=\"data row120 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row121\" class=\"row_heading level0 row121\" >18</th>\n",
              "      <td id=\"T_13bcf_row121_col0\" class=\"data row121 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row121_col1\" class=\"data row121 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row121_col2\" class=\"data row121 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row121_col3\" class=\"data row121 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row121_col4\" class=\"data row121 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row121_col5\" class=\"data row121 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row121_col6\" class=\"data row121 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row121_col7\" class=\"data row121 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row121_col8\" class=\"data row121 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row121_col9\" class=\"data row121 col9\" >0100100101111</td>\n",
              "      <td id=\"T_13bcf_row121_col10\" class=\"data row121 col10\" >-65.800000</td>\n",
              "      <td id=\"T_13bcf_row121_col11\" class=\"data row121 col11\" >21.140000</td>\n",
              "      <td id=\"T_13bcf_row121_col12\" class=\"data row121 col12\" >6</td>\n",
              "      <td id=\"T_13bcf_row121_col13\" class=\"data row121 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row122\" class=\"row_heading level0 row122\" >19</th>\n",
              "      <td id=\"T_13bcf_row122_col0\" class=\"data row122 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row122_col1\" class=\"data row122 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row122_col2\" class=\"data row122 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row122_col3\" class=\"data row122 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row122_col4\" class=\"data row122 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row122_col5\" class=\"data row122 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row122_col6\" class=\"data row122 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row122_col7\" class=\"data row122 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row122_col8\" class=\"data row122 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row122_col9\" class=\"data row122 col9\" >1111001111000</td>\n",
              "      <td id=\"T_13bcf_row122_col10\" class=\"data row122 col10\" >-57.050000</td>\n",
              "      <td id=\"T_13bcf_row122_col11\" class=\"data row122 col11\" >31.760000</td>\n",
              "      <td id=\"T_13bcf_row122_col12\" class=\"data row122 col12\" >7</td>\n",
              "      <td id=\"T_13bcf_row122_col13\" class=\"data row122 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row123\" class=\"row_heading level0 row123\" >20</th>\n",
              "      <td id=\"T_13bcf_row123_col0\" class=\"data row123 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row123_col1\" class=\"data row123 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row123_col2\" class=\"data row123 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row123_col3\" class=\"data row123 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row123_col4\" class=\"data row123 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row123_col5\" class=\"data row123 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row123_col6\" class=\"data row123 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row123_col7\" class=\"data row123 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row123_col8\" class=\"data row123 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row123_col9\" class=\"data row123 col9\" >1011011010000</td>\n",
              "      <td id=\"T_13bcf_row123_col10\" class=\"data row123 col10\" >-65.800000</td>\n",
              "      <td id=\"T_13bcf_row123_col11\" class=\"data row123 col11\" >27.780000</td>\n",
              "      <td id=\"T_13bcf_row123_col12\" class=\"data row123 col12\" >8</td>\n",
              "      <td id=\"T_13bcf_row123_col13\" class=\"data row123 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row124\" class=\"row_heading level0 row124\" >21</th>\n",
              "      <td id=\"T_13bcf_row124_col0\" class=\"data row124 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row124_col1\" class=\"data row124 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row124_col2\" class=\"data row124 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row124_col3\" class=\"data row124 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row124_col4\" class=\"data row124 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row124_col5\" class=\"data row124 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row124_col6\" class=\"data row124 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row124_col7\" class=\"data row124 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row124_col8\" class=\"data row124 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row124_col9\" class=\"data row124 col9\" >1011000000000</td>\n",
              "      <td id=\"T_13bcf_row124_col10\" class=\"data row124 col10\" >-72.580000</td>\n",
              "      <td id=\"T_13bcf_row124_col11\" class=\"data row124 col11\" >32.360000</td>\n",
              "      <td id=\"T_13bcf_row124_col12\" class=\"data row124 col12\" >9</td>\n",
              "      <td id=\"T_13bcf_row124_col13\" class=\"data row124 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row125\" class=\"row_heading level0 row125\" >22</th>\n",
              "      <td id=\"T_13bcf_row125_col0\" class=\"data row125 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row125_col1\" class=\"data row125 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row125_col2\" class=\"data row125 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row125_col3\" class=\"data row125 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row125_col4\" class=\"data row125 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row125_col5\" class=\"data row125 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row125_col6\" class=\"data row125 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row125_col7\" class=\"data row125 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row125_col8\" class=\"data row125 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row125_col9\" class=\"data row125 col9\" >0000110010011</td>\n",
              "      <td id=\"T_13bcf_row125_col10\" class=\"data row125 col10\" >-63.510000</td>\n",
              "      <td id=\"T_13bcf_row125_col11\" class=\"data row125 col11\" >36.420000</td>\n",
              "      <td id=\"T_13bcf_row125_col12\" class=\"data row125 col12\" >10</td>\n",
              "      <td id=\"T_13bcf_row125_col13\" class=\"data row125 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row126\" class=\"row_heading level0 row126\" >23</th>\n",
              "      <td id=\"T_13bcf_row126_col0\" class=\"data row126 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row126_col1\" class=\"data row126 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row126_col2\" class=\"data row126 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row126_col3\" class=\"data row126 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row126_col4\" class=\"data row126 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row126_col5\" class=\"data row126 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row126_col6\" class=\"data row126 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row126_col7\" class=\"data row126 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row126_col8\" class=\"data row126 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row126_col9\" class=\"data row126 col9\" >1011010010100</td>\n",
              "      <td id=\"T_13bcf_row126_col10\" class=\"data row126 col10\" >-64.600000</td>\n",
              "      <td id=\"T_13bcf_row126_col11\" class=\"data row126 col11\" >37.360000</td>\n",
              "      <td id=\"T_13bcf_row126_col12\" class=\"data row126 col12\" >11</td>\n",
              "      <td id=\"T_13bcf_row126_col13\" class=\"data row126 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row127\" class=\"row_heading level0 row127\" >24</th>\n",
              "      <td id=\"T_13bcf_row127_col0\" class=\"data row127 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row127_col1\" class=\"data row127 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row127_col2\" class=\"data row127 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row127_col3\" class=\"data row127 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row127_col4\" class=\"data row127 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row127_col5\" class=\"data row127 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row127_col6\" class=\"data row127 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row127_col7\" class=\"data row127 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row127_col8\" class=\"data row127 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row127_col9\" class=\"data row127 col9\" >0100111101111</td>\n",
              "      <td id=\"T_13bcf_row127_col10\" class=\"data row127 col10\" >-65.460000</td>\n",
              "      <td id=\"T_13bcf_row127_col11\" class=\"data row127 col11\" >43.220000</td>\n",
              "      <td id=\"T_13bcf_row127_col12\" class=\"data row127 col12\" >12</td>\n",
              "      <td id=\"T_13bcf_row127_col13\" class=\"data row127 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row128\" class=\"row_heading level0 row128\" >25</th>\n",
              "      <td id=\"T_13bcf_row128_col0\" class=\"data row128 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row128_col1\" class=\"data row128 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row128_col2\" class=\"data row128 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row128_col3\" class=\"data row128 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row128_col4\" class=\"data row128 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row128_col5\" class=\"data row128 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row128_col6\" class=\"data row128 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row128_col7\" class=\"data row128 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row128_col8\" class=\"data row128 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row128_col9\" class=\"data row128 col9\" >1011000000000</td>\n",
              "      <td id=\"T_13bcf_row128_col10\" class=\"data row128 col10\" >-72.580000</td>\n",
              "      <td id=\"T_13bcf_row128_col11\" class=\"data row128 col11\" >45.100000</td>\n",
              "      <td id=\"T_13bcf_row128_col12\" class=\"data row128 col12\" >13</td>\n",
              "      <td id=\"T_13bcf_row128_col13\" class=\"data row128 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row129\" class=\"row_heading level0 row129\" >26</th>\n",
              "      <td id=\"T_13bcf_row129_col0\" class=\"data row129 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row129_col1\" class=\"data row129 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row129_col2\" class=\"data row129 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row129_col3\" class=\"data row129 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row129_col4\" class=\"data row129 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row129_col5\" class=\"data row129 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row129_col6\" class=\"data row129 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row129_col7\" class=\"data row129 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row129_col8\" class=\"data row129 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row129_col9\" class=\"data row129 col9\" >1011010000000</td>\n",
              "      <td id=\"T_13bcf_row129_col10\" class=\"data row129 col10\" >-72.240000</td>\n",
              "      <td id=\"T_13bcf_row129_col11\" class=\"data row129 col11\" >47.910000</td>\n",
              "      <td id=\"T_13bcf_row129_col12\" class=\"data row129 col12\" >14</td>\n",
              "      <td id=\"T_13bcf_row129_col13\" class=\"data row129 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row130\" class=\"row_heading level0 row130\" >27</th>\n",
              "      <td id=\"T_13bcf_row130_col0\" class=\"data row130 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row130_col1\" class=\"data row130 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row130_col2\" class=\"data row130 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row130_col3\" class=\"data row130 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row130_col4\" class=\"data row130 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row130_col5\" class=\"data row130 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row130_col6\" class=\"data row130 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row130_col7\" class=\"data row130 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row130_col8\" class=\"data row130 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row130_col9\" class=\"data row130 col9\" >1011000000000</td>\n",
              "      <td id=\"T_13bcf_row130_col10\" class=\"data row130 col10\" >-72.580000</td>\n",
              "      <td id=\"T_13bcf_row130_col11\" class=\"data row130 col11\" >53.310000</td>\n",
              "      <td id=\"T_13bcf_row130_col12\" class=\"data row130 col12\" >15</td>\n",
              "      <td id=\"T_13bcf_row130_col13\" class=\"data row130 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row131\" class=\"row_heading level0 row131\" >28</th>\n",
              "      <td id=\"T_13bcf_row131_col0\" class=\"data row131 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row131_col1\" class=\"data row131 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row131_col2\" class=\"data row131 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row131_col3\" class=\"data row131 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row131_col4\" class=\"data row131 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row131_col5\" class=\"data row131 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row131_col6\" class=\"data row131 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row131_col7\" class=\"data row131 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row131_col8\" class=\"data row131 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row131_col9\" class=\"data row131 col9\" >0100100101111</td>\n",
              "      <td id=\"T_13bcf_row131_col10\" class=\"data row131 col10\" >-65.800000</td>\n",
              "      <td id=\"T_13bcf_row131_col11\" class=\"data row131 col11\" >54.080000</td>\n",
              "      <td id=\"T_13bcf_row131_col12\" class=\"data row131 col12\" >16</td>\n",
              "      <td id=\"T_13bcf_row131_col13\" class=\"data row131 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row132\" class=\"row_heading level0 row132\" >29</th>\n",
              "      <td id=\"T_13bcf_row132_col0\" class=\"data row132 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row132_col1\" class=\"data row132 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row132_col2\" class=\"data row132 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row132_col3\" class=\"data row132 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row132_col4\" class=\"data row132 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row132_col5\" class=\"data row132 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row132_col6\" class=\"data row132 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row132_col7\" class=\"data row132 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row132_col8\" class=\"data row132 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row132_col9\" class=\"data row132 col9\" >0100111111111</td>\n",
              "      <td id=\"T_13bcf_row132_col10\" class=\"data row132 col10\" >-72.580000</td>\n",
              "      <td id=\"T_13bcf_row132_col11\" class=\"data row132 col11\" >58.800000</td>\n",
              "      <td id=\"T_13bcf_row132_col12\" class=\"data row132 col12\" >17</td>\n",
              "      <td id=\"T_13bcf_row132_col13\" class=\"data row132 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row133\" class=\"row_heading level0 row133\" >30</th>\n",
              "      <td id=\"T_13bcf_row133_col0\" class=\"data row133 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row133_col1\" class=\"data row133 col1\" >13</td>\n",
              "      <td id=\"T_13bcf_row133_col2\" class=\"data row133 col2\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row133_col3\" class=\"data row133 col3\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row133_col4\" class=\"data row133 col4\" >0.990000</td>\n",
              "      <td id=\"T_13bcf_row133_col5\" class=\"data row133 col5\" >1011010010000</td>\n",
              "      <td id=\"T_13bcf_row133_col6\" class=\"data row133 col6\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row133_col7\" class=\"data row133 col7\" >1.010000</td>\n",
              "      <td id=\"T_13bcf_row133_col8\" class=\"data row133 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row133_col9\" class=\"data row133 col9\" >0100101101111</td>\n",
              "      <td id=\"T_13bcf_row133_col10\" class=\"data row133 col10\" >-82.560000</td>\n",
              "      <td id=\"T_13bcf_row133_col11\" class=\"data row133 col11\" >64.390000</td>\n",
              "      <td id=\"T_13bcf_row133_col12\" class=\"data row133 col12\" >18</td>\n",
              "      <td id=\"T_13bcf_row133_col13\" class=\"data row133 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row134\" class=\"row_heading level0 row134\" >31</th>\n",
              "      <td id=\"T_13bcf_row134_col0\" class=\"data row134 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row134_col1\" class=\"data row134 col1\" >14</td>\n",
              "      <td id=\"T_13bcf_row134_col2\" class=\"data row134 col2\" >01001111111000</td>\n",
              "      <td id=\"T_13bcf_row134_col3\" class=\"data row134 col3\" >-97.060000</td>\n",
              "      <td id=\"T_13bcf_row134_col4\" class=\"data row134 col4\" >1.220000</td>\n",
              "      <td id=\"T_13bcf_row134_col5\" class=\"data row134 col5\" >10110000000111</td>\n",
              "      <td id=\"T_13bcf_row134_col6\" class=\"data row134 col6\" >-97.060000</td>\n",
              "      <td id=\"T_13bcf_row134_col7\" class=\"data row134 col7\" >1.130000</td>\n",
              "      <td id=\"T_13bcf_row134_col8\" class=\"data row134 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row134_col9\" class=\"data row134 col9\" >01001111111000</td>\n",
              "      <td id=\"T_13bcf_row134_col10\" class=\"data row134 col10\" >-97.060000</td>\n",
              "      <td id=\"T_13bcf_row134_col11\" class=\"data row134 col11\" >6.860000</td>\n",
              "      <td id=\"T_13bcf_row134_col12\" class=\"data row134 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row134_col13\" class=\"data row134 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row135\" class=\"row_heading level0 row135\" >32</th>\n",
              "      <td id=\"T_13bcf_row135_col0\" class=\"data row135 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row135_col1\" class=\"data row135 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row135_col2\" class=\"data row135 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row135_col3\" class=\"data row135 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row135_col4\" class=\"data row135 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row135_col5\" class=\"data row135 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row135_col6\" class=\"data row135 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row135_col7\" class=\"data row135 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row135_col8\" class=\"data row135 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row135_col9\" class=\"data row135 col9\" >111000100110000</td>\n",
              "      <td id=\"T_13bcf_row135_col10\" class=\"data row135 col10\" >-78.630000</td>\n",
              "      <td id=\"T_13bcf_row135_col11\" class=\"data row135 col11\" >8.170000</td>\n",
              "      <td id=\"T_13bcf_row135_col12\" class=\"data row135 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row135_col13\" class=\"data row135 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row136\" class=\"row_heading level0 row136\" >33</th>\n",
              "      <td id=\"T_13bcf_row136_col0\" class=\"data row136 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row136_col1\" class=\"data row136 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row136_col2\" class=\"data row136 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row136_col3\" class=\"data row136 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row136_col4\" class=\"data row136 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row136_col5\" class=\"data row136 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row136_col6\" class=\"data row136 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row136_col7\" class=\"data row136 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row136_col8\" class=\"data row136 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row136_col9\" class=\"data row136 col9\" >010111011011111</td>\n",
              "      <td id=\"T_13bcf_row136_col10\" class=\"data row136 col10\" >-82.050000</td>\n",
              "      <td id=\"T_13bcf_row136_col11\" class=\"data row136 col11\" >12.760000</td>\n",
              "      <td id=\"T_13bcf_row136_col12\" class=\"data row136 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row136_col13\" class=\"data row136 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row137\" class=\"row_heading level0 row137\" >34</th>\n",
              "      <td id=\"T_13bcf_row137_col0\" class=\"data row137 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row137_col1\" class=\"data row137 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row137_col2\" class=\"data row137 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row137_col3\" class=\"data row137 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row137_col4\" class=\"data row137 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row137_col5\" class=\"data row137 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row137_col6\" class=\"data row137 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row137_col7\" class=\"data row137 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row137_col8\" class=\"data row137 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row137_col9\" class=\"data row137 col9\" >010111010111101</td>\n",
              "      <td id=\"T_13bcf_row137_col10\" class=\"data row137 col10\" >-82.610000</td>\n",
              "      <td id=\"T_13bcf_row137_col11\" class=\"data row137 col11\" >17.310000</td>\n",
              "      <td id=\"T_13bcf_row137_col12\" class=\"data row137 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row137_col13\" class=\"data row137 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row138\" class=\"row_heading level0 row138\" >35</th>\n",
              "      <td id=\"T_13bcf_row138_col0\" class=\"data row138 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row138_col1\" class=\"data row138 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row138_col2\" class=\"data row138 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row138_col3\" class=\"data row138 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row138_col4\" class=\"data row138 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row138_col5\" class=\"data row138 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row138_col6\" class=\"data row138 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row138_col7\" class=\"data row138 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row138_col8\" class=\"data row138 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row138_col9\" class=\"data row138 col9\" >010111011111111</td>\n",
              "      <td id=\"T_13bcf_row138_col10\" class=\"data row138 col10\" >-84.810000</td>\n",
              "      <td id=\"T_13bcf_row138_col11\" class=\"data row138 col11\" >21.950000</td>\n",
              "      <td id=\"T_13bcf_row138_col12\" class=\"data row138 col12\" >4</td>\n",
              "      <td id=\"T_13bcf_row138_col13\" class=\"data row138 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row139\" class=\"row_heading level0 row139\" >36</th>\n",
              "      <td id=\"T_13bcf_row139_col0\" class=\"data row139 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row139_col1\" class=\"data row139 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row139_col2\" class=\"data row139 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row139_col3\" class=\"data row139 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row139_col4\" class=\"data row139 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row139_col5\" class=\"data row139 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row139_col6\" class=\"data row139 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row139_col7\" class=\"data row139 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row139_col8\" class=\"data row139 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row139_col9\" class=\"data row139 col9\" >010011111001010</td>\n",
              "      <td id=\"T_13bcf_row139_col10\" class=\"data row139 col10\" >-72.180000</td>\n",
              "      <td id=\"T_13bcf_row139_col11\" class=\"data row139 col11\" >67.440000</td>\n",
              "      <td id=\"T_13bcf_row139_col12\" class=\"data row139 col12\" >5</td>\n",
              "      <td id=\"T_13bcf_row139_col13\" class=\"data row139 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row140\" class=\"row_heading level0 row140\" >37</th>\n",
              "      <td id=\"T_13bcf_row140_col0\" class=\"data row140 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row140_col1\" class=\"data row140 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row140_col2\" class=\"data row140 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row140_col3\" class=\"data row140 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row140_col4\" class=\"data row140 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row140_col5\" class=\"data row140 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row140_col6\" class=\"data row140 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row140_col7\" class=\"data row140 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row140_col8\" class=\"data row140 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row140_col9\" class=\"data row140 col9\" >000110011000111</td>\n",
              "      <td id=\"T_13bcf_row140_col10\" class=\"data row140 col10\" >-75.350000</td>\n",
              "      <td id=\"T_13bcf_row140_col11\" class=\"data row140 col11\" >30.480000</td>\n",
              "      <td id=\"T_13bcf_row140_col12\" class=\"data row140 col12\" >6</td>\n",
              "      <td id=\"T_13bcf_row140_col13\" class=\"data row140 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row141\" class=\"row_heading level0 row141\" >38</th>\n",
              "      <td id=\"T_13bcf_row141_col0\" class=\"data row141 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row141_col1\" class=\"data row141 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row141_col2\" class=\"data row141 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row141_col3\" class=\"data row141 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row141_col4\" class=\"data row141 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row141_col5\" class=\"data row141 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row141_col6\" class=\"data row141 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row141_col7\" class=\"data row141 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row141_col8\" class=\"data row141 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row141_col9\" class=\"data row141 col9\" >010110011001111</td>\n",
              "      <td id=\"T_13bcf_row141_col10\" class=\"data row141 col10\" >-91.180000</td>\n",
              "      <td id=\"T_13bcf_row141_col11\" class=\"data row141 col11\" >84.440000</td>\n",
              "      <td id=\"T_13bcf_row141_col12\" class=\"data row141 col12\" >7</td>\n",
              "      <td id=\"T_13bcf_row141_col13\" class=\"data row141 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row142\" class=\"row_heading level0 row142\" >39</th>\n",
              "      <td id=\"T_13bcf_row142_col0\" class=\"data row142 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row142_col1\" class=\"data row142 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row142_col2\" class=\"data row142 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row142_col3\" class=\"data row142 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row142_col4\" class=\"data row142 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row142_col5\" class=\"data row142 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row142_col6\" class=\"data row142 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row142_col7\" class=\"data row142 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row142_col8\" class=\"data row142 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row142_col9\" class=\"data row142 col9\" >001001100010000</td>\n",
              "      <td id=\"T_13bcf_row142_col10\" class=\"data row142 col10\" >-70.590000</td>\n",
              "      <td id=\"T_13bcf_row142_col11\" class=\"data row142 col11\" >39.970000</td>\n",
              "      <td id=\"T_13bcf_row142_col12\" class=\"data row142 col12\" >8</td>\n",
              "      <td id=\"T_13bcf_row142_col13\" class=\"data row142 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row143\" class=\"row_heading level0 row143\" >40</th>\n",
              "      <td id=\"T_13bcf_row143_col0\" class=\"data row143 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row143_col1\" class=\"data row143 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row143_col2\" class=\"data row143 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row143_col3\" class=\"data row143 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row143_col4\" class=\"data row143 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row143_col5\" class=\"data row143 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row143_col6\" class=\"data row143 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row143_col7\" class=\"data row143 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row143_col8\" class=\"data row143 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row143_col9\" class=\"data row143 col9\" >010110011100111</td>\n",
              "      <td id=\"T_13bcf_row143_col10\" class=\"data row143 col10\" >-85.160000</td>\n",
              "      <td id=\"T_13bcf_row143_col11\" class=\"data row143 col11\" >45.090000</td>\n",
              "      <td id=\"T_13bcf_row143_col12\" class=\"data row143 col12\" >9</td>\n",
              "      <td id=\"T_13bcf_row143_col13\" class=\"data row143 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row144\" class=\"row_heading level0 row144\" >41</th>\n",
              "      <td id=\"T_13bcf_row144_col0\" class=\"data row144 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row144_col1\" class=\"data row144 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row144_col2\" class=\"data row144 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row144_col3\" class=\"data row144 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row144_col4\" class=\"data row144 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row144_col5\" class=\"data row144 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row144_col6\" class=\"data row144 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row144_col7\" class=\"data row144 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row144_col8\" class=\"data row144 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row144_col9\" class=\"data row144 col9\" >101001100010000</td>\n",
              "      <td id=\"T_13bcf_row144_col10\" class=\"data row144 col10\" >-95.700000</td>\n",
              "      <td id=\"T_13bcf_row144_col11\" class=\"data row144 col11\" >49.870000</td>\n",
              "      <td id=\"T_13bcf_row144_col12\" class=\"data row144 col12\" >10</td>\n",
              "      <td id=\"T_13bcf_row144_col13\" class=\"data row144 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row145\" class=\"row_heading level0 row145\" >42</th>\n",
              "      <td id=\"T_13bcf_row145_col0\" class=\"data row145 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row145_col1\" class=\"data row145 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row145_col2\" class=\"data row145 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row145_col3\" class=\"data row145 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row145_col4\" class=\"data row145 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row145_col5\" class=\"data row145 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row145_col6\" class=\"data row145 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row145_col7\" class=\"data row145 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row145_col8\" class=\"data row145 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row145_col9\" class=\"data row145 col9\" >101001100110000</td>\n",
              "      <td id=\"T_13bcf_row145_col10\" class=\"data row145 col10\" >-91.180000</td>\n",
              "      <td id=\"T_13bcf_row145_col11\" class=\"data row145 col11\" >55.100000</td>\n",
              "      <td id=\"T_13bcf_row145_col12\" class=\"data row145 col12\" >11</td>\n",
              "      <td id=\"T_13bcf_row145_col13\" class=\"data row145 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row146\" class=\"row_heading level0 row146\" >43</th>\n",
              "      <td id=\"T_13bcf_row146_col0\" class=\"data row146 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row146_col1\" class=\"data row146 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row146_col2\" class=\"data row146 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row146_col3\" class=\"data row146 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row146_col4\" class=\"data row146 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row146_col5\" class=\"data row146 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row146_col6\" class=\"data row146 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row146_col7\" class=\"data row146 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row146_col8\" class=\"data row146 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row146_col9\" class=\"data row146 col9\" >101000100100010</td>\n",
              "      <td id=\"T_13bcf_row146_col10\" class=\"data row146 col10\" >-77.460000</td>\n",
              "      <td id=\"T_13bcf_row146_col11\" class=\"data row146 col11\" >62.710000</td>\n",
              "      <td id=\"T_13bcf_row146_col12\" class=\"data row146 col12\" >12</td>\n",
              "      <td id=\"T_13bcf_row146_col13\" class=\"data row146 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row147\" class=\"row_heading level0 row147\" >44</th>\n",
              "      <td id=\"T_13bcf_row147_col0\" class=\"data row147 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row147_col1\" class=\"data row147 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row147_col2\" class=\"data row147 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row147_col3\" class=\"data row147 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row147_col4\" class=\"data row147 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row147_col5\" class=\"data row147 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row147_col6\" class=\"data row147 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row147_col7\" class=\"data row147 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row147_col8\" class=\"data row147 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row147_col9\" class=\"data row147 col9\" >101000100010000</td>\n",
              "      <td id=\"T_13bcf_row147_col10\" class=\"data row147 col10\" >-96.120000</td>\n",
              "      <td id=\"T_13bcf_row147_col11\" class=\"data row147 col11\" >64.800000</td>\n",
              "      <td id=\"T_13bcf_row147_col12\" class=\"data row147 col12\" >13</td>\n",
              "      <td id=\"T_13bcf_row147_col13\" class=\"data row147 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row148\" class=\"row_heading level0 row148\" >45</th>\n",
              "      <td id=\"T_13bcf_row148_col0\" class=\"data row148 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row148_col1\" class=\"data row148 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row148_col2\" class=\"data row148 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row148_col3\" class=\"data row148 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row148_col4\" class=\"data row148 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row148_col5\" class=\"data row148 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row148_col6\" class=\"data row148 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row148_col7\" class=\"data row148 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row148_col8\" class=\"data row148 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row148_col9\" class=\"data row148 col9\" >010111011011111</td>\n",
              "      <td id=\"T_13bcf_row148_col10\" class=\"data row148 col10\" >-82.050000</td>\n",
              "      <td id=\"T_13bcf_row148_col11\" class=\"data row148 col11\" >70.820000</td>\n",
              "      <td id=\"T_13bcf_row148_col12\" class=\"data row148 col12\" >14</td>\n",
              "      <td id=\"T_13bcf_row148_col13\" class=\"data row148 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row149\" class=\"row_heading level0 row149\" >46</th>\n",
              "      <td id=\"T_13bcf_row149_col0\" class=\"data row149 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row149_col1\" class=\"data row149 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row149_col2\" class=\"data row149 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row149_col3\" class=\"data row149 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row149_col4\" class=\"data row149 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row149_col5\" class=\"data row149 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row149_col6\" class=\"data row149 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row149_col7\" class=\"data row149 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row149_col8\" class=\"data row149 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row149_col9\" class=\"data row149 col9\" >101001100011000</td>\n",
              "      <td id=\"T_13bcf_row149_col10\" class=\"data row149 col10\" >-85.160000</td>\n",
              "      <td id=\"T_13bcf_row149_col11\" class=\"data row149 col11\" >76.220000</td>\n",
              "      <td id=\"T_13bcf_row149_col12\" class=\"data row149 col12\" >15</td>\n",
              "      <td id=\"T_13bcf_row149_col13\" class=\"data row149 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row150\" class=\"row_heading level0 row150\" >47</th>\n",
              "      <td id=\"T_13bcf_row150_col0\" class=\"data row150 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row150_col1\" class=\"data row150 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row150_col2\" class=\"data row150 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row150_col3\" class=\"data row150 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row150_col4\" class=\"data row150 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row150_col5\" class=\"data row150 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row150_col6\" class=\"data row150 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row150_col7\" class=\"data row150 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row150_col8\" class=\"data row150 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row150_col9\" class=\"data row150 col9\" >101000101110010</td>\n",
              "      <td id=\"T_13bcf_row150_col10\" class=\"data row150 col10\" >-86.800000</td>\n",
              "      <td id=\"T_13bcf_row150_col11\" class=\"data row150 col11\" >84.100000</td>\n",
              "      <td id=\"T_13bcf_row150_col12\" class=\"data row150 col12\" >16</td>\n",
              "      <td id=\"T_13bcf_row150_col13\" class=\"data row150 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row151\" class=\"row_heading level0 row151\" >48</th>\n",
              "      <td id=\"T_13bcf_row151_col0\" class=\"data row151 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row151_col1\" class=\"data row151 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row151_col2\" class=\"data row151 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row151_col3\" class=\"data row151 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row151_col4\" class=\"data row151 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row151_col5\" class=\"data row151 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row151_col6\" class=\"data row151 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row151_col7\" class=\"data row151 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row151_col8\" class=\"data row151 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row151_col9\" class=\"data row151 col9\" >101001100110000</td>\n",
              "      <td id=\"T_13bcf_row151_col10\" class=\"data row151 col10\" >-91.180000</td>\n",
              "      <td id=\"T_13bcf_row151_col11\" class=\"data row151 col11\" >86.990000</td>\n",
              "      <td id=\"T_13bcf_row151_col12\" class=\"data row151 col12\" >17</td>\n",
              "      <td id=\"T_13bcf_row151_col13\" class=\"data row151 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row152\" class=\"row_heading level0 row152\" >49</th>\n",
              "      <td id=\"T_13bcf_row152_col0\" class=\"data row152 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row152_col1\" class=\"data row152 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row152_col2\" class=\"data row152 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row152_col3\" class=\"data row152 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row152_col4\" class=\"data row152 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row152_col5\" class=\"data row152 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row152_col6\" class=\"data row152 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row152_col7\" class=\"data row152 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row152_col8\" class=\"data row152 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row152_col9\" class=\"data row152 col9\" >000110011000111</td>\n",
              "      <td id=\"T_13bcf_row152_col10\" class=\"data row152 col10\" >-75.350000</td>\n",
              "      <td id=\"T_13bcf_row152_col11\" class=\"data row152 col11\" >93.270000</td>\n",
              "      <td id=\"T_13bcf_row152_col12\" class=\"data row152 col12\" >18</td>\n",
              "      <td id=\"T_13bcf_row152_col13\" class=\"data row152 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row153\" class=\"row_heading level0 row153\" >50</th>\n",
              "      <td id=\"T_13bcf_row153_col0\" class=\"data row153 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row153_col1\" class=\"data row153 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row153_col2\" class=\"data row153 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row153_col3\" class=\"data row153 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row153_col4\" class=\"data row153 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row153_col5\" class=\"data row153 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row153_col6\" class=\"data row153 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row153_col7\" class=\"data row153 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row153_col8\" class=\"data row153 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row153_col9\" class=\"data row153 col9\" >101000101010000</td>\n",
              "      <td id=\"T_13bcf_row153_col10\" class=\"data row153 col10\" >-78.550000</td>\n",
              "      <td id=\"T_13bcf_row153_col11\" class=\"data row153 col11\" >206.490000</td>\n",
              "      <td id=\"T_13bcf_row153_col12\" class=\"data row153 col12\" >19</td>\n",
              "      <td id=\"T_13bcf_row153_col13\" class=\"data row153 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row154\" class=\"row_heading level0 row154\" >51</th>\n",
              "      <td id=\"T_13bcf_row154_col0\" class=\"data row154 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row154_col1\" class=\"data row154 col1\" >15</td>\n",
              "      <td id=\"T_13bcf_row154_col2\" class=\"data row154 col2\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row154_col3\" class=\"data row154 col3\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row154_col4\" class=\"data row154 col4\" >2.750000</td>\n",
              "      <td id=\"T_13bcf_row154_col5\" class=\"data row154 col5\" >101000100110000</td>\n",
              "      <td id=\"T_13bcf_row154_col6\" class=\"data row154 col6\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row154_col7\" class=\"data row154 col7\" >2.410000</td>\n",
              "      <td id=\"T_13bcf_row154_col8\" class=\"data row154 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row154_col9\" class=\"data row154 col9\" >010111011001111</td>\n",
              "      <td id=\"T_13bcf_row154_col10\" class=\"data row154 col10\" >-104.860000</td>\n",
              "      <td id=\"T_13bcf_row154_col11\" class=\"data row154 col11\" >104.250000</td>\n",
              "      <td id=\"T_13bcf_row154_col12\" class=\"data row154 col12\" >20</td>\n",
              "      <td id=\"T_13bcf_row154_col13\" class=\"data row154 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row155\" class=\"row_heading level0 row155\" >52</th>\n",
              "      <td id=\"T_13bcf_row155_col0\" class=\"data row155 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row155_col1\" class=\"data row155 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row155_col2\" class=\"data row155 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row155_col3\" class=\"data row155 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row155_col4\" class=\"data row155 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row155_col5\" class=\"data row155 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row155_col6\" class=\"data row155 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row155_col7\" class=\"data row155 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row155_col8\" class=\"data row155 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row155_col9\" class=\"data row155 col9\" >1011000011110010</td>\n",
              "      <td id=\"T_13bcf_row155_col10\" class=\"data row155 col10\" >-104.010000</td>\n",
              "      <td id=\"T_13bcf_row155_col11\" class=\"data row155 col11\" >9.710000</td>\n",
              "      <td id=\"T_13bcf_row155_col12\" class=\"data row155 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row155_col13\" class=\"data row155 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row156\" class=\"row_heading level0 row156\" >53</th>\n",
              "      <td id=\"T_13bcf_row156_col0\" class=\"data row156 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row156_col1\" class=\"data row156 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row156_col2\" class=\"data row156 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row156_col3\" class=\"data row156 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row156_col4\" class=\"data row156 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row156_col5\" class=\"data row156 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row156_col6\" class=\"data row156 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row156_col7\" class=\"data row156 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row156_col8\" class=\"data row156 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row156_col9\" class=\"data row156 col9\" >1011000001110010</td>\n",
              "      <td id=\"T_13bcf_row156_col10\" class=\"data row156 col10\" >-104.350000</td>\n",
              "      <td id=\"T_13bcf_row156_col11\" class=\"data row156 col11\" >14.920000</td>\n",
              "      <td id=\"T_13bcf_row156_col12\" class=\"data row156 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row156_col13\" class=\"data row156 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row157\" class=\"row_heading level0 row157\" >54</th>\n",
              "      <td id=\"T_13bcf_row157_col0\" class=\"data row157 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row157_col1\" class=\"data row157 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row157_col2\" class=\"data row157 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row157_col3\" class=\"data row157 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row157_col4\" class=\"data row157 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row157_col5\" class=\"data row157 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row157_col6\" class=\"data row157 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row157_col7\" class=\"data row157 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row157_col8\" class=\"data row157 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row157_col9\" class=\"data row157 col9\" >1011000001010101</td>\n",
              "      <td id=\"T_13bcf_row157_col10\" class=\"data row157 col10\" >-98.770000</td>\n",
              "      <td id=\"T_13bcf_row157_col11\" class=\"data row157 col11\" >20.590000</td>\n",
              "      <td id=\"T_13bcf_row157_col12\" class=\"data row157 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row157_col13\" class=\"data row157 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row158\" class=\"row_heading level0 row158\" >55</th>\n",
              "      <td id=\"T_13bcf_row158_col0\" class=\"data row158 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row158_col1\" class=\"data row158 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row158_col2\" class=\"data row158 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row158_col3\" class=\"data row158 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row158_col4\" class=\"data row158 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row158_col5\" class=\"data row158 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row158_col6\" class=\"data row158 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row158_col7\" class=\"data row158 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row158_col8\" class=\"data row158 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row158_col9\" class=\"data row158 col9\" >1011000001010101</td>\n",
              "      <td id=\"T_13bcf_row158_col10\" class=\"data row158 col10\" >-98.770000</td>\n",
              "      <td id=\"T_13bcf_row158_col11\" class=\"data row158 col11\" >26.300000</td>\n",
              "      <td id=\"T_13bcf_row158_col12\" class=\"data row158 col12\" >4</td>\n",
              "      <td id=\"T_13bcf_row158_col13\" class=\"data row158 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row159\" class=\"row_heading level0 row159\" >56</th>\n",
              "      <td id=\"T_13bcf_row159_col0\" class=\"data row159 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row159_col1\" class=\"data row159 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row159_col2\" class=\"data row159 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row159_col3\" class=\"data row159 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row159_col4\" class=\"data row159 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row159_col5\" class=\"data row159 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row159_col6\" class=\"data row159 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row159_col7\" class=\"data row159 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row159_col8\" class=\"data row159 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row159_col9\" class=\"data row159 col9\" >1000011001010111</td>\n",
              "      <td id=\"T_13bcf_row159_col10\" class=\"data row159 col10\" >-86.530000</td>\n",
              "      <td id=\"T_13bcf_row159_col11\" class=\"data row159 col11\" >32.250000</td>\n",
              "      <td id=\"T_13bcf_row159_col12\" class=\"data row159 col12\" >5</td>\n",
              "      <td id=\"T_13bcf_row159_col13\" class=\"data row159 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row160\" class=\"row_heading level0 row160\" >57</th>\n",
              "      <td id=\"T_13bcf_row160_col0\" class=\"data row160 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row160_col1\" class=\"data row160 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row160_col2\" class=\"data row160 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row160_col3\" class=\"data row160 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row160_col4\" class=\"data row160 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row160_col5\" class=\"data row160 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row160_col6\" class=\"data row160 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row160_col7\" class=\"data row160 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row160_col8\" class=\"data row160 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row160_col9\" class=\"data row160 col9\" >0101111110101000</td>\n",
              "      <td id=\"T_13bcf_row160_col10\" class=\"data row160 col10\" >-120.370000</td>\n",
              "      <td id=\"T_13bcf_row160_col11\" class=\"data row160 col11\" >41.200000</td>\n",
              "      <td id=\"T_13bcf_row160_col12\" class=\"data row160 col12\" >6</td>\n",
              "      <td id=\"T_13bcf_row160_col13\" class=\"data row160 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row161\" class=\"row_heading level0 row161\" >58</th>\n",
              "      <td id=\"T_13bcf_row161_col0\" class=\"data row161 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row161_col1\" class=\"data row161 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row161_col2\" class=\"data row161 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row161_col3\" class=\"data row161 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row161_col4\" class=\"data row161 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row161_col5\" class=\"data row161 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row161_col6\" class=\"data row161 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row161_col7\" class=\"data row161 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row161_col8\" class=\"data row161 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row161_col9\" class=\"data row161 col9\" >0101111111100010</td>\n",
              "      <td id=\"T_13bcf_row161_col10\" class=\"data row161 col10\" >-99.860000</td>\n",
              "      <td id=\"T_13bcf_row161_col11\" class=\"data row161 col11\" >104.220000</td>\n",
              "      <td id=\"T_13bcf_row161_col12\" class=\"data row161 col12\" >7</td>\n",
              "      <td id=\"T_13bcf_row161_col13\" class=\"data row161 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row162\" class=\"row_heading level0 row162\" >59</th>\n",
              "      <td id=\"T_13bcf_row162_col0\" class=\"data row162 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row162_col1\" class=\"data row162 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row162_col2\" class=\"data row162 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row162_col3\" class=\"data row162 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row162_col4\" class=\"data row162 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row162_col5\" class=\"data row162 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row162_col6\" class=\"data row162 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row162_col7\" class=\"data row162 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row162_col8\" class=\"data row162 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row162_col9\" class=\"data row162 col9\" >1000001001010111</td>\n",
              "      <td id=\"T_13bcf_row162_col10\" class=\"data row162 col10\" >-89.280000</td>\n",
              "      <td id=\"T_13bcf_row162_col11\" class=\"data row162 col11\" >51.210000</td>\n",
              "      <td id=\"T_13bcf_row162_col12\" class=\"data row162 col12\" >8</td>\n",
              "      <td id=\"T_13bcf_row162_col13\" class=\"data row162 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row163\" class=\"row_heading level0 row163\" >60</th>\n",
              "      <td id=\"T_13bcf_row163_col0\" class=\"data row163 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row163_col1\" class=\"data row163 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row163_col2\" class=\"data row163 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row163_col3\" class=\"data row163 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row163_col4\" class=\"data row163 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row163_col5\" class=\"data row163 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row163_col6\" class=\"data row163 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row163_col7\" class=\"data row163 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row163_col8\" class=\"data row163 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row163_col9\" class=\"data row163 col9\" >1011001001010111</td>\n",
              "      <td id=\"T_13bcf_row163_col10\" class=\"data row163 col10\" >-91.040000</td>\n",
              "      <td id=\"T_13bcf_row163_col11\" class=\"data row163 col11\" >57.000000</td>\n",
              "      <td id=\"T_13bcf_row163_col12\" class=\"data row163 col12\" >9</td>\n",
              "      <td id=\"T_13bcf_row163_col13\" class=\"data row163 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row164\" class=\"row_heading level0 row164\" >61</th>\n",
              "      <td id=\"T_13bcf_row164_col0\" class=\"data row164 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row164_col1\" class=\"data row164 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row164_col2\" class=\"data row164 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row164_col3\" class=\"data row164 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row164_col4\" class=\"data row164 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row164_col5\" class=\"data row164 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row164_col6\" class=\"data row164 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row164_col7\" class=\"data row164 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row164_col8\" class=\"data row164 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row164_col9\" class=\"data row164 col9\" >0100111110001101</td>\n",
              "      <td id=\"T_13bcf_row164_col10\" class=\"data row164 col10\" >-104.350000</td>\n",
              "      <td id=\"T_13bcf_row164_col11\" class=\"data row164 col11\" >63.490000</td>\n",
              "      <td id=\"T_13bcf_row164_col12\" class=\"data row164 col12\" >10</td>\n",
              "      <td id=\"T_13bcf_row164_col13\" class=\"data row164 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row165\" class=\"row_heading level0 row165\" >62</th>\n",
              "      <td id=\"T_13bcf_row165_col0\" class=\"data row165 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row165_col1\" class=\"data row165 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row165_col2\" class=\"data row165 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row165_col3\" class=\"data row165 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row165_col4\" class=\"data row165 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row165_col5\" class=\"data row165 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row165_col6\" class=\"data row165 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row165_col7\" class=\"data row165 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row165_col8\" class=\"data row165 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row165_col9\" class=\"data row165 col9\" >1000011100001110</td>\n",
              "      <td id=\"T_13bcf_row165_col10\" class=\"data row165 col10\" >-92.220000</td>\n",
              "      <td id=\"T_13bcf_row165_col11\" class=\"data row165 col11\" >159.710000</td>\n",
              "      <td id=\"T_13bcf_row165_col12\" class=\"data row165 col12\" >11</td>\n",
              "      <td id=\"T_13bcf_row165_col13\" class=\"data row165 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row166\" class=\"row_heading level0 row166\" >63</th>\n",
              "      <td id=\"T_13bcf_row166_col0\" class=\"data row166 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row166_col1\" class=\"data row166 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row166_col2\" class=\"data row166 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row166_col3\" class=\"data row166 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row166_col4\" class=\"data row166 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row166_col5\" class=\"data row166 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row166_col6\" class=\"data row166 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row166_col7\" class=\"data row166 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row166_col8\" class=\"data row166 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row166_col9\" class=\"data row166 col9\" >1010000001110101</td>\n",
              "      <td id=\"T_13bcf_row166_col10\" class=\"data row166 col10\" >-88.700000</td>\n",
              "      <td id=\"T_13bcf_row166_col11\" class=\"data row166 col11\" >77.040000</td>\n",
              "      <td id=\"T_13bcf_row166_col12\" class=\"data row166 col12\" >12</td>\n",
              "      <td id=\"T_13bcf_row166_col13\" class=\"data row166 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row167\" class=\"row_heading level0 row167\" >64</th>\n",
              "      <td id=\"T_13bcf_row167_col0\" class=\"data row167 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row167_col1\" class=\"data row167 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row167_col2\" class=\"data row167 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row167_col3\" class=\"data row167 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row167_col4\" class=\"data row167 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row167_col5\" class=\"data row167 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row167_col6\" class=\"data row167 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row167_col7\" class=\"data row167 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row167_col8\" class=\"data row167 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row167_col9\" class=\"data row167 col9\" >0101111110001000</td>\n",
              "      <td id=\"T_13bcf_row167_col10\" class=\"data row167 col10\" >-83.050000</td>\n",
              "      <td id=\"T_13bcf_row167_col11\" class=\"data row167 col11\" >87.220000</td>\n",
              "      <td id=\"T_13bcf_row167_col12\" class=\"data row167 col12\" >13</td>\n",
              "      <td id=\"T_13bcf_row167_col13\" class=\"data row167 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row168\" class=\"row_heading level0 row168\" >65</th>\n",
              "      <td id=\"T_13bcf_row168_col0\" class=\"data row168 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row168_col1\" class=\"data row168 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row168_col2\" class=\"data row168 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row168_col3\" class=\"data row168 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row168_col4\" class=\"data row168 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row168_col5\" class=\"data row168 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row168_col6\" class=\"data row168 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row168_col7\" class=\"data row168 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row168_col8\" class=\"data row168 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row168_col9\" class=\"data row168 col9\" >0101111110101001</td>\n",
              "      <td id=\"T_13bcf_row168_col10\" class=\"data row168 col10\" >-105.670000</td>\n",
              "      <td id=\"T_13bcf_row168_col11\" class=\"data row168 col11\" >90.960000</td>\n",
              "      <td id=\"T_13bcf_row168_col12\" class=\"data row168 col12\" >14</td>\n",
              "      <td id=\"T_13bcf_row168_col13\" class=\"data row168 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row169\" class=\"row_heading level0 row169\" >66</th>\n",
              "      <td id=\"T_13bcf_row169_col0\" class=\"data row169 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row169_col1\" class=\"data row169 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row169_col2\" class=\"data row169 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row169_col3\" class=\"data row169 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row169_col4\" class=\"data row169 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row169_col5\" class=\"data row169 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row169_col6\" class=\"data row169 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row169_col7\" class=\"data row169 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row169_col8\" class=\"data row169 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row169_col9\" class=\"data row169 col9\" >0100111100001101</td>\n",
              "      <td id=\"T_13bcf_row169_col10\" class=\"data row169 col10\" >-104.010000</td>\n",
              "      <td id=\"T_13bcf_row169_col11\" class=\"data row169 col11\" >98.450000</td>\n",
              "      <td id=\"T_13bcf_row169_col12\" class=\"data row169 col12\" >15</td>\n",
              "      <td id=\"T_13bcf_row169_col13\" class=\"data row169 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row170\" class=\"row_heading level0 row170\" >67</th>\n",
              "      <td id=\"T_13bcf_row170_col0\" class=\"data row170 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row170_col1\" class=\"data row170 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row170_col2\" class=\"data row170 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row170_col3\" class=\"data row170 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row170_col4\" class=\"data row170 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row170_col5\" class=\"data row170 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row170_col6\" class=\"data row170 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row170_col7\" class=\"data row170 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row170_col8\" class=\"data row170 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row170_col9\" class=\"data row170 col9\" >1010010001010111</td>\n",
              "      <td id=\"T_13bcf_row170_col10\" class=\"data row170 col10\" >-81.560000</td>\n",
              "      <td id=\"T_13bcf_row170_col11\" class=\"data row170 col11\" >109.310000</td>\n",
              "      <td id=\"T_13bcf_row170_col12\" class=\"data row170 col12\" >16</td>\n",
              "      <td id=\"T_13bcf_row170_col13\" class=\"data row170 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row171\" class=\"row_heading level0 row171\" >68</th>\n",
              "      <td id=\"T_13bcf_row171_col0\" class=\"data row171 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row171_col1\" class=\"data row171 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row171_col2\" class=\"data row171 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row171_col3\" class=\"data row171 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row171_col4\" class=\"data row171 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row171_col5\" class=\"data row171 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row171_col6\" class=\"data row171 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row171_col7\" class=\"data row171 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row171_col8\" class=\"data row171 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row171_col9\" class=\"data row171 col9\" >0100111110001101</td>\n",
              "      <td id=\"T_13bcf_row171_col10\" class=\"data row171 col10\" >-104.350000</td>\n",
              "      <td id=\"T_13bcf_row171_col11\" class=\"data row171 col11\" >115.600000</td>\n",
              "      <td id=\"T_13bcf_row171_col12\" class=\"data row171 col12\" >17</td>\n",
              "      <td id=\"T_13bcf_row171_col13\" class=\"data row171 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row172\" class=\"row_heading level0 row172\" >69</th>\n",
              "      <td id=\"T_13bcf_row172_col0\" class=\"data row172 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row172_col1\" class=\"data row172 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row172_col2\" class=\"data row172 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row172_col3\" class=\"data row172 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row172_col4\" class=\"data row172 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row172_col5\" class=\"data row172 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row172_col6\" class=\"data row172 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row172_col7\" class=\"data row172 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row172_col8\" class=\"data row172 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row172_col9\" class=\"data row172 col9\" >1010000001000111</td>\n",
              "      <td id=\"T_13bcf_row172_col10\" class=\"data row172 col10\" >-97.730000</td>\n",
              "      <td id=\"T_13bcf_row172_col11\" class=\"data row172 col11\" >121.090000</td>\n",
              "      <td id=\"T_13bcf_row172_col12\" class=\"data row172 col12\" >18</td>\n",
              "      <td id=\"T_13bcf_row172_col13\" class=\"data row172 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row173\" class=\"row_heading level0 row173\" >70</th>\n",
              "      <td id=\"T_13bcf_row173_col0\" class=\"data row173 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row173_col1\" class=\"data row173 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row173_col2\" class=\"data row173 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row173_col3\" class=\"data row173 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row173_col4\" class=\"data row173 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row173_col5\" class=\"data row173 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row173_col6\" class=\"data row173 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row173_col7\" class=\"data row173 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row173_col8\" class=\"data row173 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row173_col9\" class=\"data row173 col9\" >0100111100101110</td>\n",
              "      <td id=\"T_13bcf_row173_col10\" class=\"data row173 col10\" >-78.800000</td>\n",
              "      <td id=\"T_13bcf_row173_col11\" class=\"data row173 col11\" >132.180000</td>\n",
              "      <td id=\"T_13bcf_row173_col12\" class=\"data row173 col12\" >19</td>\n",
              "      <td id=\"T_13bcf_row173_col13\" class=\"data row173 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row174\" class=\"row_heading level0 row174\" >71</th>\n",
              "      <td id=\"T_13bcf_row174_col0\" class=\"data row174 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row174_col1\" class=\"data row174 col1\" >16</td>\n",
              "      <td id=\"T_13bcf_row174_col2\" class=\"data row174 col2\" >0101111110101010</td>\n",
              "      <td id=\"T_13bcf_row174_col3\" class=\"data row174 col3\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row174_col4\" class=\"data row174 col4\" >6.490000</td>\n",
              "      <td id=\"T_13bcf_row174_col5\" class=\"data row174 col5\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row174_col6\" class=\"data row174 col6\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row174_col7\" class=\"data row174 col7\" >4.920000</td>\n",
              "      <td id=\"T_13bcf_row174_col8\" class=\"data row174 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row174_col9\" class=\"data row174 col9\" >1010000001010101</td>\n",
              "      <td id=\"T_13bcf_row174_col10\" class=\"data row174 col10\" >-130.280000</td>\n",
              "      <td id=\"T_13bcf_row174_col11\" class=\"data row174 col11\" >137.640000</td>\n",
              "      <td id=\"T_13bcf_row174_col12\" class=\"data row174 col12\" >20</td>\n",
              "      <td id=\"T_13bcf_row174_col13\" class=\"data row174 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row175\" class=\"row_heading level0 row175\" >72</th>\n",
              "      <td id=\"T_13bcf_row175_col0\" class=\"data row175 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row175_col1\" class=\"data row175 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row175_col2\" class=\"data row175 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row175_col3\" class=\"data row175 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row175_col4\" class=\"data row175 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row175_col5\" class=\"data row175 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row175_col6\" class=\"data row175 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row175_col7\" class=\"data row175 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row175_col8\" class=\"data row175 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row175_col9\" class=\"data row175 col9\" >11100011011000100</td>\n",
              "      <td id=\"T_13bcf_row175_col10\" class=\"data row175 col10\" >-92.800000</td>\n",
              "      <td id=\"T_13bcf_row175_col11\" class=\"data row175 col11\" >10.980000</td>\n",
              "      <td id=\"T_13bcf_row175_col12\" class=\"data row175 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row175_col13\" class=\"data row175 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row176\" class=\"row_heading level0 row176\" >73</th>\n",
              "      <td id=\"T_13bcf_row176_col0\" class=\"data row176 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row176_col1\" class=\"data row176 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row176_col2\" class=\"data row176 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row176_col3\" class=\"data row176 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row176_col4\" class=\"data row176 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row176_col5\" class=\"data row176 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row176_col6\" class=\"data row176 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row176_col7\" class=\"data row176 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row176_col8\" class=\"data row176 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row176_col9\" class=\"data row176 col9\" >00011101100111010</td>\n",
              "      <td id=\"T_13bcf_row176_col10\" class=\"data row176 col10\" >-103.360000</td>\n",
              "      <td id=\"T_13bcf_row176_col11\" class=\"data row176 col11\" >57.630000</td>\n",
              "      <td id=\"T_13bcf_row176_col12\" class=\"data row176 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row176_col13\" class=\"data row176 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row177\" class=\"row_heading level0 row177\" >74</th>\n",
              "      <td id=\"T_13bcf_row177_col0\" class=\"data row177 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row177_col1\" class=\"data row177 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row177_col2\" class=\"data row177 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row177_col3\" class=\"data row177 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row177_col4\" class=\"data row177 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row177_col5\" class=\"data row177 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row177_col6\" class=\"data row177 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row177_col7\" class=\"data row177 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row177_col8\" class=\"data row177 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row177_col9\" class=\"data row177 col9\" >10100010011001101</td>\n",
              "      <td id=\"T_13bcf_row177_col10\" class=\"data row177 col10\" >-109.300000</td>\n",
              "      <td id=\"T_13bcf_row177_col11\" class=\"data row177 col11\" >72.990000</td>\n",
              "      <td id=\"T_13bcf_row177_col12\" class=\"data row177 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row177_col13\" class=\"data row177 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row178\" class=\"row_heading level0 row178\" >75</th>\n",
              "      <td id=\"T_13bcf_row178_col0\" class=\"data row178 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row178_col1\" class=\"data row178 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row178_col2\" class=\"data row178 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row178_col3\" class=\"data row178 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row178_col4\" class=\"data row178 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row178_col5\" class=\"data row178 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row178_col6\" class=\"data row178 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row178_col7\" class=\"data row178 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row178_col8\" class=\"data row178 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row178_col9\" class=\"data row178 col9\" >00011100100111011</td>\n",
              "      <td id=\"T_13bcf_row178_col10\" class=\"data row178 col10\" >-92.800000</td>\n",
              "      <td id=\"T_13bcf_row178_col11\" class=\"data row178 col11\" >31.350000</td>\n",
              "      <td id=\"T_13bcf_row178_col12\" class=\"data row178 col12\" >4</td>\n",
              "      <td id=\"T_13bcf_row178_col13\" class=\"data row178 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row179\" class=\"row_heading level0 row179\" >76</th>\n",
              "      <td id=\"T_13bcf_row179_col0\" class=\"data row179 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row179_col1\" class=\"data row179 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row179_col2\" class=\"data row179 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row179_col3\" class=\"data row179 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row179_col4\" class=\"data row179 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row179_col5\" class=\"data row179 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row179_col6\" class=\"data row179 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row179_col7\" class=\"data row179 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row179_col8\" class=\"data row179 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row179_col9\" class=\"data row179 col9\" >10011110100101111</td>\n",
              "      <td id=\"T_13bcf_row179_col10\" class=\"data row179 col10\" >-90.150000</td>\n",
              "      <td id=\"T_13bcf_row179_col11\" class=\"data row179 col11\" >39.230000</td>\n",
              "      <td id=\"T_13bcf_row179_col12\" class=\"data row179 col12\" >5</td>\n",
              "      <td id=\"T_13bcf_row179_col13\" class=\"data row179 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row180\" class=\"row_heading level0 row180\" >77</th>\n",
              "      <td id=\"T_13bcf_row180_col0\" class=\"data row180 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row180_col1\" class=\"data row180 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row180_col2\" class=\"data row180 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row180_col3\" class=\"data row180 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row180_col4\" class=\"data row180 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row180_col5\" class=\"data row180 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row180_col6\" class=\"data row180 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row180_col7\" class=\"data row180 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row180_col8\" class=\"data row180 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row180_col9\" class=\"data row180 col9\" >11100010011000101</td>\n",
              "      <td id=\"T_13bcf_row180_col10\" class=\"data row180 col10\" >-103.360000</td>\n",
              "      <td id=\"T_13bcf_row180_col11\" class=\"data row180 col11\" >46.260000</td>\n",
              "      <td id=\"T_13bcf_row180_col12\" class=\"data row180 col12\" >6</td>\n",
              "      <td id=\"T_13bcf_row180_col13\" class=\"data row180 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row181\" class=\"row_heading level0 row181\" >78</th>\n",
              "      <td id=\"T_13bcf_row181_col0\" class=\"data row181 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row181_col1\" class=\"data row181 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row181_col2\" class=\"data row181 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row181_col3\" class=\"data row181 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row181_col4\" class=\"data row181 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row181_col5\" class=\"data row181 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row181_col6\" class=\"data row181 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row181_col7\" class=\"data row181 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row181_col8\" class=\"data row181 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row181_col9\" class=\"data row181 col9\" >01011101100110111</td>\n",
              "      <td id=\"T_13bcf_row181_col10\" class=\"data row181 col10\" >-99.200000</td>\n",
              "      <td id=\"T_13bcf_row181_col11\" class=\"data row181 col11\" >132.870000</td>\n",
              "      <td id=\"T_13bcf_row181_col12\" class=\"data row181 col12\" >7</td>\n",
              "      <td id=\"T_13bcf_row181_col13\" class=\"data row181 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row182\" class=\"row_heading level0 row182\" >79</th>\n",
              "      <td id=\"T_13bcf_row182_col0\" class=\"data row182 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row182_col1\" class=\"data row182 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row182_col2\" class=\"data row182 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row182_col3\" class=\"data row182 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row182_col4\" class=\"data row182 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row182_col5\" class=\"data row182 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row182_col6\" class=\"data row182 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row182_col7\" class=\"data row182 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row182_col8\" class=\"data row182 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row182_col9\" class=\"data row182 col9\" >00011100100110111</td>\n",
              "      <td id=\"T_13bcf_row182_col10\" class=\"data row182 col10\" >-90.450000</td>\n",
              "      <td id=\"T_13bcf_row182_col11\" class=\"data row182 col11\" >62.720000</td>\n",
              "      <td id=\"T_13bcf_row182_col12\" class=\"data row182 col12\" >8</td>\n",
              "      <td id=\"T_13bcf_row182_col13\" class=\"data row182 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row183\" class=\"row_heading level0 row183\" >80</th>\n",
              "      <td id=\"T_13bcf_row183_col0\" class=\"data row183 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row183_col1\" class=\"data row183 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row183_col2\" class=\"data row183 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row183_col3\" class=\"data row183 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row183_col4\" class=\"data row183 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row183_col5\" class=\"data row183 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row183_col6\" class=\"data row183 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row183_col7\" class=\"data row183 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row183_col8\" class=\"data row183 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row183_col9\" class=\"data row183 col9\" >10100000011000010</td>\n",
              "      <td id=\"T_13bcf_row183_col10\" class=\"data row183 col10\" >-79.290000</td>\n",
              "      <td id=\"T_13bcf_row183_col11\" class=\"data row183 col11\" >71.660000</td>\n",
              "      <td id=\"T_13bcf_row183_col12\" class=\"data row183 col12\" >9</td>\n",
              "      <td id=\"T_13bcf_row183_col13\" class=\"data row183 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row184\" class=\"row_heading level0 row184\" >81</th>\n",
              "      <td id=\"T_13bcf_row184_col0\" class=\"data row184 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row184_col1\" class=\"data row184 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row184_col2\" class=\"data row184 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row184_col3\" class=\"data row184 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row184_col4\" class=\"data row184 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row184_col5\" class=\"data row184 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row184_col6\" class=\"data row184 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row184_col7\" class=\"data row184 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row184_col8\" class=\"data row184 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row184_col9\" class=\"data row184 col9\" >01100001011000001</td>\n",
              "      <td id=\"T_13bcf_row184_col10\" class=\"data row184 col10\" >-98.110000</td>\n",
              "      <td id=\"T_13bcf_row184_col11\" class=\"data row184 col11\" >80.010000</td>\n",
              "      <td id=\"T_13bcf_row184_col12\" class=\"data row184 col12\" >10</td>\n",
              "      <td id=\"T_13bcf_row184_col13\" class=\"data row184 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row185\" class=\"row_heading level0 row185\" >82</th>\n",
              "      <td id=\"T_13bcf_row185_col0\" class=\"data row185 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row185_col1\" class=\"data row185 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row185_col2\" class=\"data row185 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row185_col3\" class=\"data row185 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row185_col4\" class=\"data row185 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row185_col5\" class=\"data row185 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row185_col6\" class=\"data row185 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row185_col7\" class=\"data row185 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row185_col8\" class=\"data row185 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row185_col9\" class=\"data row185 col9\" >11100000011011000</td>\n",
              "      <td id=\"T_13bcf_row185_col10\" class=\"data row185 col10\" >-78.080000</td>\n",
              "      <td id=\"T_13bcf_row185_col11\" class=\"data row185 col11\" >92.070000</td>\n",
              "      <td id=\"T_13bcf_row185_col12\" class=\"data row185 col12\" >11</td>\n",
              "      <td id=\"T_13bcf_row185_col13\" class=\"data row185 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row186\" class=\"row_heading level0 row186\" >83</th>\n",
              "      <td id=\"T_13bcf_row186_col0\" class=\"data row186 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row186_col1\" class=\"data row186 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row186_col2\" class=\"data row186 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row186_col3\" class=\"data row186 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row186_col4\" class=\"data row186 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row186_col5\" class=\"data row186 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row186_col6\" class=\"data row186 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row186_col7\" class=\"data row186 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row186_col8\" class=\"data row186 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row186_col9\" class=\"data row186 col9\" >00011100100111000</td>\n",
              "      <td id=\"T_13bcf_row186_col10\" class=\"data row186 col10\" >-100.390000</td>\n",
              "      <td id=\"T_13bcf_row186_col11\" class=\"data row186 col11\" >221.350000</td>\n",
              "      <td id=\"T_13bcf_row186_col12\" class=\"data row186 col12\" >12</td>\n",
              "      <td id=\"T_13bcf_row186_col13\" class=\"data row186 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row187\" class=\"row_heading level0 row187\" >84</th>\n",
              "      <td id=\"T_13bcf_row187_col0\" class=\"data row187 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row187_col1\" class=\"data row187 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row187_col2\" class=\"data row187 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row187_col3\" class=\"data row187 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row187_col4\" class=\"data row187 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row187_col5\" class=\"data row187 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row187_col6\" class=\"data row187 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row187_col7\" class=\"data row187 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row187_col8\" class=\"data row187 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row187_col9\" class=\"data row187 col9\" >00011100100110111</td>\n",
              "      <td id=\"T_13bcf_row187_col10\" class=\"data row187 col10\" >-90.450000</td>\n",
              "      <td id=\"T_13bcf_row187_col11\" class=\"data row187 col11\" >237.940000</td>\n",
              "      <td id=\"T_13bcf_row187_col12\" class=\"data row187 col12\" >13</td>\n",
              "      <td id=\"T_13bcf_row187_col13\" class=\"data row187 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row188\" class=\"row_heading level0 row188\" >85</th>\n",
              "      <td id=\"T_13bcf_row188_col0\" class=\"data row188 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row188_col1\" class=\"data row188 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row188_col2\" class=\"data row188 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row188_col3\" class=\"data row188 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row188_col4\" class=\"data row188 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row188_col5\" class=\"data row188 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row188_col6\" class=\"data row188 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row188_col7\" class=\"data row188 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row188_col8\" class=\"data row188 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row188_col9\" class=\"data row188 col9\" >11100011011000011</td>\n",
              "      <td id=\"T_13bcf_row188_col10\" class=\"data row188 col10\" >-92.490000</td>\n",
              "      <td id=\"T_13bcf_row188_col11\" class=\"data row188 col11\" >257.450000</td>\n",
              "      <td id=\"T_13bcf_row188_col12\" class=\"data row188 col12\" >14</td>\n",
              "      <td id=\"T_13bcf_row188_col13\" class=\"data row188 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row189\" class=\"row_heading level0 row189\" >86</th>\n",
              "      <td id=\"T_13bcf_row189_col0\" class=\"data row189 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row189_col1\" class=\"data row189 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row189_col2\" class=\"data row189 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row189_col3\" class=\"data row189 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row189_col4\" class=\"data row189 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row189_col5\" class=\"data row189 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row189_col6\" class=\"data row189 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row189_col7\" class=\"data row189 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row189_col8\" class=\"data row189 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row189_col9\" class=\"data row189 col9\" >01100011011000101</td>\n",
              "      <td id=\"T_13bcf_row189_col10\" class=\"data row189 col10\" >-99.860000</td>\n",
              "      <td id=\"T_13bcf_row189_col11\" class=\"data row189 col11\" >127.610000</td>\n",
              "      <td id=\"T_13bcf_row189_col12\" class=\"data row189 col12\" >15</td>\n",
              "      <td id=\"T_13bcf_row189_col13\" class=\"data row189 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row190\" class=\"row_heading level0 row190\" >87</th>\n",
              "      <td id=\"T_13bcf_row190_col0\" class=\"data row190 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row190_col1\" class=\"data row190 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row190_col2\" class=\"data row190 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row190_col3\" class=\"data row190 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row190_col4\" class=\"data row190 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row190_col5\" class=\"data row190 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row190_col6\" class=\"data row190 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row190_col7\" class=\"data row190 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row190_col8\" class=\"data row190 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row190_col9\" class=\"data row190 col9\" >10100000011001100</td>\n",
              "      <td id=\"T_13bcf_row190_col10\" class=\"data row190 col10\" >-97.370000</td>\n",
              "      <td id=\"T_13bcf_row190_col11\" class=\"data row190 col11\" >140.710000</td>\n",
              "      <td id=\"T_13bcf_row190_col12\" class=\"data row190 col12\" >16</td>\n",
              "      <td id=\"T_13bcf_row190_col13\" class=\"data row190 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row191\" class=\"row_heading level0 row191\" >88</th>\n",
              "      <td id=\"T_13bcf_row191_col0\" class=\"data row191 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row191_col1\" class=\"data row191 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row191_col2\" class=\"data row191 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row191_col3\" class=\"data row191 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row191_col4\" class=\"data row191 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row191_col5\" class=\"data row191 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row191_col6\" class=\"data row191 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row191_col7\" class=\"data row191 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row191_col8\" class=\"data row191 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row191_col9\" class=\"data row191 col9\" >00011110100110111</td>\n",
              "      <td id=\"T_13bcf_row191_col10\" class=\"data row191 col10\" >-106.860000</td>\n",
              "      <td id=\"T_13bcf_row191_col11\" class=\"data row191 col11\" >150.180000</td>\n",
              "      <td id=\"T_13bcf_row191_col12\" class=\"data row191 col12\" >17</td>\n",
              "      <td id=\"T_13bcf_row191_col13\" class=\"data row191 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row192\" class=\"row_heading level0 row192\" >89</th>\n",
              "      <td id=\"T_13bcf_row192_col0\" class=\"data row192 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row192_col1\" class=\"data row192 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row192_col2\" class=\"data row192 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row192_col3\" class=\"data row192 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row192_col4\" class=\"data row192 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row192_col5\" class=\"data row192 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row192_col6\" class=\"data row192 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row192_col7\" class=\"data row192 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row192_col8\" class=\"data row192 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row192_col9\" class=\"data row192 col9\" >01111110100100101</td>\n",
              "      <td id=\"T_13bcf_row192_col10\" class=\"data row192 col10\" >-87.650000</td>\n",
              "      <td id=\"T_13bcf_row192_col11\" class=\"data row192 col11\" >164.510000</td>\n",
              "      <td id=\"T_13bcf_row192_col12\" class=\"data row192 col12\" >18</td>\n",
              "      <td id=\"T_13bcf_row192_col13\" class=\"data row192 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row193\" class=\"row_heading level0 row193\" >90</th>\n",
              "      <td id=\"T_13bcf_row193_col0\" class=\"data row193 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row193_col1\" class=\"data row193 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row193_col2\" class=\"data row193 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row193_col3\" class=\"data row193 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row193_col4\" class=\"data row193 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row193_col5\" class=\"data row193 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row193_col6\" class=\"data row193 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row193_col7\" class=\"data row193 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row193_col8\" class=\"data row193 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row193_col9\" class=\"data row193 col9\" >10000001001011000</td>\n",
              "      <td id=\"T_13bcf_row193_col10\" class=\"data row193 col10\" >-89.300000</td>\n",
              "      <td id=\"T_13bcf_row193_col11\" class=\"data row193 col11\" >172.130000</td>\n",
              "      <td id=\"T_13bcf_row193_col12\" class=\"data row193 col12\" >19</td>\n",
              "      <td id=\"T_13bcf_row193_col13\" class=\"data row193 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row194\" class=\"row_heading level0 row194\" >91</th>\n",
              "      <td id=\"T_13bcf_row194_col0\" class=\"data row194 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row194_col1\" class=\"data row194 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row194_col2\" class=\"data row194 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row194_col3\" class=\"data row194 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row194_col4\" class=\"data row194 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row194_col5\" class=\"data row194 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row194_col6\" class=\"data row194 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row194_col7\" class=\"data row194 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row194_col8\" class=\"data row194 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row194_col9\" class=\"data row194 col9\" >01100001011011000</td>\n",
              "      <td id=\"T_13bcf_row194_col10\" class=\"data row194 col10\" >-90.200000</td>\n",
              "      <td id=\"T_13bcf_row194_col11\" class=\"data row194 col11\" >186.460000</td>\n",
              "      <td id=\"T_13bcf_row194_col12\" class=\"data row194 col12\" >20</td>\n",
              "      <td id=\"T_13bcf_row194_col13\" class=\"data row194 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row195\" class=\"row_heading level0 row195\" >92</th>\n",
              "      <td id=\"T_13bcf_row195_col0\" class=\"data row195 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row195_col1\" class=\"data row195 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row195_col2\" class=\"data row195 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row195_col3\" class=\"data row195 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row195_col4\" class=\"data row195 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row195_col5\" class=\"data row195 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row195_col6\" class=\"data row195 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row195_col7\" class=\"data row195 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row195_col8\" class=\"data row195 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row195_col9\" class=\"data row195 col9\" >01011110100110111</td>\n",
              "      <td id=\"T_13bcf_row195_col10\" class=\"data row195 col10\" >-113.290000</td>\n",
              "      <td id=\"T_13bcf_row195_col11\" class=\"data row195 col11\" >199.550000</td>\n",
              "      <td id=\"T_13bcf_row195_col12\" class=\"data row195 col12\" >21</td>\n",
              "      <td id=\"T_13bcf_row195_col13\" class=\"data row195 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row196\" class=\"row_heading level0 row196\" >93</th>\n",
              "      <td id=\"T_13bcf_row196_col0\" class=\"data row196 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row196_col1\" class=\"data row196 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row196_col2\" class=\"data row196 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row196_col3\" class=\"data row196 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row196_col4\" class=\"data row196 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row196_col5\" class=\"data row196 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row196_col6\" class=\"data row196 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row196_col7\" class=\"data row196 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row196_col8\" class=\"data row196 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row196_col9\" class=\"data row196 col9\" >10100010011001001</td>\n",
              "      <td id=\"T_13bcf_row196_col10\" class=\"data row196 col10\" >-99.560000</td>\n",
              "      <td id=\"T_13bcf_row196_col11\" class=\"data row196 col11\" >208.900000</td>\n",
              "      <td id=\"T_13bcf_row196_col12\" class=\"data row196 col12\" >22</td>\n",
              "      <td id=\"T_13bcf_row196_col13\" class=\"data row196 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row197\" class=\"row_heading level0 row197\" >94</th>\n",
              "      <td id=\"T_13bcf_row197_col0\" class=\"data row197 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row197_col1\" class=\"data row197 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row197_col2\" class=\"data row197 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row197_col3\" class=\"data row197 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row197_col4\" class=\"data row197 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row197_col5\" class=\"data row197 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row197_col6\" class=\"data row197 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row197_col7\" class=\"data row197 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row197_col8\" class=\"data row197 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row197_col9\" class=\"data row197 col9\" >10100010011001101</td>\n",
              "      <td id=\"T_13bcf_row197_col10\" class=\"data row197 col10\" >-109.300000</td>\n",
              "      <td id=\"T_13bcf_row197_col11\" class=\"data row197 col11\" >219.140000</td>\n",
              "      <td id=\"T_13bcf_row197_col12\" class=\"data row197 col12\" >23</td>\n",
              "      <td id=\"T_13bcf_row197_col13\" class=\"data row197 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row198\" class=\"row_heading level0 row198\" >95</th>\n",
              "      <td id=\"T_13bcf_row198_col0\" class=\"data row198 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row198_col1\" class=\"data row198 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row198_col2\" class=\"data row198 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row198_col3\" class=\"data row198 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row198_col4\" class=\"data row198 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row198_col5\" class=\"data row198 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row198_col6\" class=\"data row198 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row198_col7\" class=\"data row198 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row198_col8\" class=\"data row198 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row198_col9\" class=\"data row198 col9\" >10100011011001001</td>\n",
              "      <td id=\"T_13bcf_row198_col10\" class=\"data row198 col10\" >-86.060000</td>\n",
              "      <td id=\"T_13bcf_row198_col11\" class=\"data row198 col11\" >236.150000</td>\n",
              "      <td id=\"T_13bcf_row198_col12\" class=\"data row198 col12\" >24</td>\n",
              "      <td id=\"T_13bcf_row198_col13\" class=\"data row198 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row199\" class=\"row_heading level0 row199\" >96</th>\n",
              "      <td id=\"T_13bcf_row199_col0\" class=\"data row199 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row199_col1\" class=\"data row199 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row199_col2\" class=\"data row199 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row199_col3\" class=\"data row199 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row199_col4\" class=\"data row199 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row199_col5\" class=\"data row199 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row199_col6\" class=\"data row199 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row199_col7\" class=\"data row199 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row199_col8\" class=\"data row199 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row199_col9\" class=\"data row199 col9\" >01111111100110111</td>\n",
              "      <td id=\"T_13bcf_row199_col10\" class=\"data row199 col10\" >-109.180000</td>\n",
              "      <td id=\"T_13bcf_row199_col11\" class=\"data row199 col11\" >248.340000</td>\n",
              "      <td id=\"T_13bcf_row199_col12\" class=\"data row199 col12\" >25</td>\n",
              "      <td id=\"T_13bcf_row199_col13\" class=\"data row199 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row200\" class=\"row_heading level0 row200\" >97</th>\n",
              "      <td id=\"T_13bcf_row200_col0\" class=\"data row200 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row200_col1\" class=\"data row200 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row200_col2\" class=\"data row200 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row200_col3\" class=\"data row200 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row200_col4\" class=\"data row200 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row200_col5\" class=\"data row200 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row200_col6\" class=\"data row200 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row200_col7\" class=\"data row200 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row200_col8\" class=\"data row200 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row200_col9\" class=\"data row200 col9\" >10000000011011000</td>\n",
              "      <td id=\"T_13bcf_row200_col10\" class=\"data row200 col10\" >-91.460000</td>\n",
              "      <td id=\"T_13bcf_row200_col11\" class=\"data row200 col11\" >260.730000</td>\n",
              "      <td id=\"T_13bcf_row200_col12\" class=\"data row200 col12\" >26</td>\n",
              "      <td id=\"T_13bcf_row200_col13\" class=\"data row200 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row201\" class=\"row_heading level0 row201\" >98</th>\n",
              "      <td id=\"T_13bcf_row201_col0\" class=\"data row201 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row201_col1\" class=\"data row201 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row201_col2\" class=\"data row201 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row201_col3\" class=\"data row201 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row201_col4\" class=\"data row201 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row201_col5\" class=\"data row201 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row201_col6\" class=\"data row201 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row201_col7\" class=\"data row201 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row201_col8\" class=\"data row201 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row201_col9\" class=\"data row201 col9\" >11100001011000010</td>\n",
              "      <td id=\"T_13bcf_row201_col10\" class=\"data row201 col10\" >-90.340000</td>\n",
              "      <td id=\"T_13bcf_row201_col11\" class=\"data row201 col11\" >274.930000</td>\n",
              "      <td id=\"T_13bcf_row201_col12\" class=\"data row201 col12\" >27</td>\n",
              "      <td id=\"T_13bcf_row201_col13\" class=\"data row201 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row202\" class=\"row_heading level0 row202\" >99</th>\n",
              "      <td id=\"T_13bcf_row202_col0\" class=\"data row202 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row202_col1\" class=\"data row202 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row202_col2\" class=\"data row202 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row202_col3\" class=\"data row202 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row202_col4\" class=\"data row202 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row202_col5\" class=\"data row202 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row202_col6\" class=\"data row202 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row202_col7\" class=\"data row202 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row202_col8\" class=\"data row202 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row202_col9\" class=\"data row202 col9\" >10100010011001110</td>\n",
              "      <td id=\"T_13bcf_row202_col10\" class=\"data row202 col10\" >-90.350000</td>\n",
              "      <td id=\"T_13bcf_row202_col11\" class=\"data row202 col11\" >289.120000</td>\n",
              "      <td id=\"T_13bcf_row202_col12\" class=\"data row202 col12\" >28</td>\n",
              "      <td id=\"T_13bcf_row202_col13\" class=\"data row202 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row203\" class=\"row_heading level0 row203\" >100</th>\n",
              "      <td id=\"T_13bcf_row203_col0\" class=\"data row203 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row203_col1\" class=\"data row203 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row203_col2\" class=\"data row203 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row203_col3\" class=\"data row203 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row203_col4\" class=\"data row203 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row203_col5\" class=\"data row203 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row203_col6\" class=\"data row203 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row203_col7\" class=\"data row203 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row203_col8\" class=\"data row203 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row203_col9\" class=\"data row203 col9\" >01011101100110000</td>\n",
              "      <td id=\"T_13bcf_row203_col10\" class=\"data row203 col10\" >-101.550000</td>\n",
              "      <td id=\"T_13bcf_row203_col11\" class=\"data row203 col11\" >625.150000</td>\n",
              "      <td id=\"T_13bcf_row203_col12\" class=\"data row203 col12\" >29</td>\n",
              "      <td id=\"T_13bcf_row203_col13\" class=\"data row203 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row204\" class=\"row_heading level0 row204\" >101</th>\n",
              "      <td id=\"T_13bcf_row204_col0\" class=\"data row204 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row204_col1\" class=\"data row204 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row204_col2\" class=\"data row204 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row204_col3\" class=\"data row204 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row204_col4\" class=\"data row204 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row204_col5\" class=\"data row204 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row204_col6\" class=\"data row204 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row204_col7\" class=\"data row204 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row204_col8\" class=\"data row204 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row204_col9\" class=\"data row204 col9\" >01011111100110101</td>\n",
              "      <td id=\"T_13bcf_row204_col10\" class=\"data row204 col10\" >-100.260000</td>\n",
              "      <td id=\"T_13bcf_row204_col11\" class=\"data row204 col11\" >317.600000</td>\n",
              "      <td id=\"T_13bcf_row204_col12\" class=\"data row204 col12\" >30</td>\n",
              "      <td id=\"T_13bcf_row204_col13\" class=\"data row204 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row205\" class=\"row_heading level0 row205\" >102</th>\n",
              "      <td id=\"T_13bcf_row205_col0\" class=\"data row205 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row205_col1\" class=\"data row205 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row205_col2\" class=\"data row205 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row205_col3\" class=\"data row205 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row205_col4\" class=\"data row205 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row205_col5\" class=\"data row205 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row205_col6\" class=\"data row205 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row205_col7\" class=\"data row205 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row205_col8\" class=\"data row205 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row205_col9\" class=\"data row205 col9\" >01111111100110111</td>\n",
              "      <td id=\"T_13bcf_row205_col10\" class=\"data row205 col10\" >-109.180000</td>\n",
              "      <td id=\"T_13bcf_row205_col11\" class=\"data row205 col11\" >683.680000</td>\n",
              "      <td id=\"T_13bcf_row205_col12\" class=\"data row205 col12\" >31</td>\n",
              "      <td id=\"T_13bcf_row205_col13\" class=\"data row205 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row206\" class=\"row_heading level0 row206\" >103</th>\n",
              "      <td id=\"T_13bcf_row206_col0\" class=\"data row206 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row206_col1\" class=\"data row206 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row206_col2\" class=\"data row206 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row206_col3\" class=\"data row206 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row206_col4\" class=\"data row206 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row206_col5\" class=\"data row206 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row206_col6\" class=\"data row206 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row206_col7\" class=\"data row206 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row206_col8\" class=\"data row206 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row206_col9\" class=\"data row206 col9\" >10100010011000101</td>\n",
              "      <td id=\"T_13bcf_row206_col10\" class=\"data row206 col10\" >-106.990000</td>\n",
              "      <td id=\"T_13bcf_row206_col11\" class=\"data row206 col11\" >349.160000</td>\n",
              "      <td id=\"T_13bcf_row206_col12\" class=\"data row206 col12\" >32</td>\n",
              "      <td id=\"T_13bcf_row206_col13\" class=\"data row206 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row207\" class=\"row_heading level0 row207\" >104</th>\n",
              "      <td id=\"T_13bcf_row207_col0\" class=\"data row207 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row207_col1\" class=\"data row207 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row207_col2\" class=\"data row207 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row207_col3\" class=\"data row207 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row207_col4\" class=\"data row207 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row207_col5\" class=\"data row207 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row207_col6\" class=\"data row207 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row207_col7\" class=\"data row207 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row207_col8\" class=\"data row207 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row207_col9\" class=\"data row207 col9\" >10000001001011000</td>\n",
              "      <td id=\"T_13bcf_row207_col10\" class=\"data row207 col10\" >-89.300000</td>\n",
              "      <td id=\"T_13bcf_row207_col11\" class=\"data row207 col11\" >1124.280000</td>\n",
              "      <td id=\"T_13bcf_row207_col12\" class=\"data row207 col12\" >33</td>\n",
              "      <td id=\"T_13bcf_row207_col13\" class=\"data row207 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row208\" class=\"row_heading level0 row208\" >105</th>\n",
              "      <td id=\"T_13bcf_row208_col0\" class=\"data row208 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row208_col1\" class=\"data row208 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row208_col2\" class=\"data row208 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row208_col3\" class=\"data row208 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row208_col4\" class=\"data row208 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row208_col5\" class=\"data row208 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row208_col6\" class=\"data row208 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row208_col7\" class=\"data row208 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row208_col8\" class=\"data row208 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row208_col9\" class=\"data row208 col9\" >01011101101110100</td>\n",
              "      <td id=\"T_13bcf_row208_col10\" class=\"data row208 col10\" >-81.560000</td>\n",
              "      <td id=\"T_13bcf_row208_col11\" class=\"data row208 col11\" >1172.270000</td>\n",
              "      <td id=\"T_13bcf_row208_col12\" class=\"data row208 col12\" >34</td>\n",
              "      <td id=\"T_13bcf_row208_col13\" class=\"data row208 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row209\" class=\"row_heading level0 row209\" >106</th>\n",
              "      <td id=\"T_13bcf_row209_col0\" class=\"data row209 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row209_col1\" class=\"data row209 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row209_col2\" class=\"data row209 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row209_col3\" class=\"data row209 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row209_col4\" class=\"data row209 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row209_col5\" class=\"data row209 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row209_col6\" class=\"data row209 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row209_col7\" class=\"data row209 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row209_col8\" class=\"data row209 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row209_col9\" class=\"data row209 col9\" >10011110100111101</td>\n",
              "      <td id=\"T_13bcf_row209_col10\" class=\"data row209 col10\" >-98.480000</td>\n",
              "      <td id=\"T_13bcf_row209_col11\" class=\"data row209 col11\" >397.570000</td>\n",
              "      <td id=\"T_13bcf_row209_col12\" class=\"data row209 col12\" >35</td>\n",
              "      <td id=\"T_13bcf_row209_col13\" class=\"data row209 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row210\" class=\"row_heading level0 row210\" >107</th>\n",
              "      <td id=\"T_13bcf_row210_col0\" class=\"data row210 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row210_col1\" class=\"data row210 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row210_col2\" class=\"data row210 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row210_col3\" class=\"data row210 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row210_col4\" class=\"data row210 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row210_col5\" class=\"data row210 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row210_col6\" class=\"data row210 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row210_col7\" class=\"data row210 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row210_col8\" class=\"data row210 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row210_col9\" class=\"data row210 col9\" >01011100100111101</td>\n",
              "      <td id=\"T_13bcf_row210_col10\" class=\"data row210 col10\" >-81.080000</td>\n",
              "      <td id=\"T_13bcf_row210_col11\" class=\"data row210 col11\" >853.290000</td>\n",
              "      <td id=\"T_13bcf_row210_col12\" class=\"data row210 col12\" >36</td>\n",
              "      <td id=\"T_13bcf_row210_col13\" class=\"data row210 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row211\" class=\"row_heading level0 row211\" >108</th>\n",
              "      <td id=\"T_13bcf_row211_col0\" class=\"data row211 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row211_col1\" class=\"data row211 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row211_col2\" class=\"data row211 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row211_col3\" class=\"data row211 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row211_col4\" class=\"data row211 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row211_col5\" class=\"data row211 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row211_col6\" class=\"data row211 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row211_col7\" class=\"data row211 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row211_col8\" class=\"data row211 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row211_col9\" class=\"data row211 col9\" >10000000011011000</td>\n",
              "      <td id=\"T_13bcf_row211_col10\" class=\"data row211 col10\" >-91.460000</td>\n",
              "      <td id=\"T_13bcf_row211_col11\" class=\"data row211 col11\" >436.250000</td>\n",
              "      <td id=\"T_13bcf_row211_col12\" class=\"data row211 col12\" >37</td>\n",
              "      <td id=\"T_13bcf_row211_col13\" class=\"data row211 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row212\" class=\"row_heading level0 row212\" >109</th>\n",
              "      <td id=\"T_13bcf_row212_col0\" class=\"data row212 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row212_col1\" class=\"data row212 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row212_col2\" class=\"data row212 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row212_col3\" class=\"data row212 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row212_col4\" class=\"data row212 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row212_col5\" class=\"data row212 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row212_col6\" class=\"data row212 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row212_col7\" class=\"data row212 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row212_col8\" class=\"data row212 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row212_col9\" class=\"data row212 col9\" >11100001011011000</td>\n",
              "      <td id=\"T_13bcf_row212_col10\" class=\"data row212 col10\" >-100.480000</td>\n",
              "      <td id=\"T_13bcf_row212_col11\" class=\"data row212 col11\" >453.570000</td>\n",
              "      <td id=\"T_13bcf_row212_col12\" class=\"data row212 col12\" >38</td>\n",
              "      <td id=\"T_13bcf_row212_col13\" class=\"data row212 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row213\" class=\"row_heading level0 row213\" >110</th>\n",
              "      <td id=\"T_13bcf_row213_col0\" class=\"data row213 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row213_col1\" class=\"data row213 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row213_col2\" class=\"data row213 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row213_col3\" class=\"data row213 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row213_col4\" class=\"data row213 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row213_col5\" class=\"data row213 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row213_col6\" class=\"data row213 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row213_col7\" class=\"data row213 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row213_col8\" class=\"data row213 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row213_col9\" class=\"data row213 col9\" >01011110100110111</td>\n",
              "      <td id=\"T_13bcf_row213_col10\" class=\"data row213 col10\" >-113.290000</td>\n",
              "      <td id=\"T_13bcf_row213_col11\" class=\"data row213 col11\" >470.930000</td>\n",
              "      <td id=\"T_13bcf_row213_col12\" class=\"data row213 col12\" >39</td>\n",
              "      <td id=\"T_13bcf_row213_col13\" class=\"data row213 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row214\" class=\"row_heading level0 row214\" >111</th>\n",
              "      <td id=\"T_13bcf_row214_col0\" class=\"data row214 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row214_col1\" class=\"data row214 col1\" >17</td>\n",
              "      <td id=\"T_13bcf_row214_col2\" class=\"data row214 col2\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row214_col3\" class=\"data row214 col3\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row214_col4\" class=\"data row214 col4\" >13.840000</td>\n",
              "      <td id=\"T_13bcf_row214_col5\" class=\"data row214 col5\" >01011111100110111</td>\n",
              "      <td id=\"T_13bcf_row214_col6\" class=\"data row214 col6\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row214_col7\" class=\"data row214 col7\" >10.670000</td>\n",
              "      <td id=\"T_13bcf_row214_col8\" class=\"data row214 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row214_col9\" class=\"data row214 col9\" >10100000011001000</td>\n",
              "      <td id=\"T_13bcf_row214_col10\" class=\"data row214 col10\" >-116.110000</td>\n",
              "      <td id=\"T_13bcf_row214_col11\" class=\"data row214 col11\" >491.030000</td>\n",
              "      <td id=\"T_13bcf_row214_col12\" class=\"data row214 col12\" >40</td>\n",
              "      <td id=\"T_13bcf_row214_col13\" class=\"data row214 col13\" >True\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row215\" class=\"row_heading level0 row215\" >112</th>\n",
              "      <td id=\"T_13bcf_row215_col0\" class=\"data row215 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row215_col1\" class=\"data row215 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row215_col2\" class=\"data row215 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row215_col3\" class=\"data row215 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row215_col4\" class=\"data row215 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row215_col5\" class=\"data row215 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row215_col6\" class=\"data row215 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row215_col7\" class=\"data row215 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row215_col8\" class=\"data row215 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row215_col9\" class=\"data row215 col9\" >101000000111100011</td>\n",
              "      <td id=\"T_13bcf_row215_col10\" class=\"data row215 col10\" >-94.150000</td>\n",
              "      <td id=\"T_13bcf_row215_col11\" class=\"data row215 col11\" >12.930000</td>\n",
              "      <td id=\"T_13bcf_row215_col12\" class=\"data row215 col12\" >1</td>\n",
              "      <td id=\"T_13bcf_row215_col13\" class=\"data row215 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row216\" class=\"row_heading level0 row216\" >113</th>\n",
              "      <td id=\"T_13bcf_row216_col0\" class=\"data row216 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row216_col1\" class=\"data row216 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row216_col2\" class=\"data row216 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row216_col3\" class=\"data row216 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row216_col4\" class=\"data row216 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row216_col5\" class=\"data row216 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row216_col6\" class=\"data row216 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row216_col7\" class=\"data row216 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row216_col8\" class=\"data row216 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row216_col9\" class=\"data row216 col9\" >101000000111100011</td>\n",
              "      <td id=\"T_13bcf_row216_col10\" class=\"data row216 col10\" >-94.150000</td>\n",
              "      <td id=\"T_13bcf_row216_col11\" class=\"data row216 col11\" >22.100000</td>\n",
              "      <td id=\"T_13bcf_row216_col12\" class=\"data row216 col12\" >2</td>\n",
              "      <td id=\"T_13bcf_row216_col13\" class=\"data row216 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row217\" class=\"row_heading level0 row217\" >114</th>\n",
              "      <td id=\"T_13bcf_row217_col0\" class=\"data row217 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row217_col1\" class=\"data row217 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row217_col2\" class=\"data row217 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row217_col3\" class=\"data row217 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row217_col4\" class=\"data row217 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row217_col5\" class=\"data row217 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row217_col6\" class=\"data row217 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row217_col7\" class=\"data row217 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row217_col8\" class=\"data row217 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row217_col9\" class=\"data row217 col9\" >100101000101001101</td>\n",
              "      <td id=\"T_13bcf_row217_col10\" class=\"data row217 col10\" >-87.270000</td>\n",
              "      <td id=\"T_13bcf_row217_col11\" class=\"data row217 col11\" >30.300000</td>\n",
              "      <td id=\"T_13bcf_row217_col12\" class=\"data row217 col12\" >3</td>\n",
              "      <td id=\"T_13bcf_row217_col13\" class=\"data row217 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row218\" class=\"row_heading level0 row218\" >115</th>\n",
              "      <td id=\"T_13bcf_row218_col0\" class=\"data row218 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row218_col1\" class=\"data row218 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row218_col2\" class=\"data row218 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row218_col3\" class=\"data row218 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row218_col4\" class=\"data row218 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row218_col5\" class=\"data row218 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row218_col6\" class=\"data row218 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row218_col7\" class=\"data row218 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row218_col8\" class=\"data row218 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row218_col9\" class=\"data row218 col9\" >000010011010100110</td>\n",
              "      <td id=\"T_13bcf_row218_col10\" class=\"data row218 col10\" >-78.780000</td>\n",
              "      <td id=\"T_13bcf_row218_col11\" class=\"data row218 col11\" >39.310000</td>\n",
              "      <td id=\"T_13bcf_row218_col12\" class=\"data row218 col12\" >4</td>\n",
              "      <td id=\"T_13bcf_row218_col13\" class=\"data row218 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row219\" class=\"row_heading level0 row219\" >116</th>\n",
              "      <td id=\"T_13bcf_row219_col0\" class=\"data row219 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row219_col1\" class=\"data row219 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row219_col2\" class=\"data row219 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row219_col3\" class=\"data row219 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row219_col4\" class=\"data row219 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row219_col5\" class=\"data row219 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row219_col6\" class=\"data row219 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row219_col7\" class=\"data row219 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row219_col8\" class=\"data row219 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row219_col9\" class=\"data row219 col9\" >101101000101011011</td>\n",
              "      <td id=\"T_13bcf_row219_col10\" class=\"data row219 col10\" >-80.840000</td>\n",
              "      <td id=\"T_13bcf_row219_col11\" class=\"data row219 col11\" >131.420000</td>\n",
              "      <td id=\"T_13bcf_row219_col12\" class=\"data row219 col12\" >5</td>\n",
              "      <td id=\"T_13bcf_row219_col13\" class=\"data row219 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row220\" class=\"row_heading level0 row220\" >117</th>\n",
              "      <td id=\"T_13bcf_row220_col0\" class=\"data row220 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row220_col1\" class=\"data row220 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row220_col2\" class=\"data row220 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row220_col3\" class=\"data row220 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row220_col4\" class=\"data row220 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row220_col5\" class=\"data row220 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row220_col6\" class=\"data row220 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row220_col7\" class=\"data row220 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row220_col8\" class=\"data row220 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row220_col9\" class=\"data row220 col9\" >011111111000111100</td>\n",
              "      <td id=\"T_13bcf_row220_col10\" class=\"data row220 col10\" >-111.720000</td>\n",
              "      <td id=\"T_13bcf_row220_col11\" class=\"data row220 col11\" >63.500000</td>\n",
              "      <td id=\"T_13bcf_row220_col12\" class=\"data row220 col12\" >6</td>\n",
              "      <td id=\"T_13bcf_row220_col13\" class=\"data row220 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row221\" class=\"row_heading level0 row221\" >118</th>\n",
              "      <td id=\"T_13bcf_row221_col0\" class=\"data row221 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row221_col1\" class=\"data row221 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row221_col2\" class=\"data row221 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row221_col3\" class=\"data row221 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row221_col4\" class=\"data row221 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row221_col5\" class=\"data row221 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row221_col6\" class=\"data row221 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row221_col7\" class=\"data row221 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row221_col8\" class=\"data row221 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row221_col9\" class=\"data row221 col9\" >100000000111101001</td>\n",
              "      <td id=\"T_13bcf_row221_col10\" class=\"data row221 col10\" >-80.270000</td>\n",
              "      <td id=\"T_13bcf_row221_col11\" class=\"data row221 col11\" >71.060000</td>\n",
              "      <td id=\"T_13bcf_row221_col12\" class=\"data row221 col12\" >7</td>\n",
              "      <td id=\"T_13bcf_row221_col13\" class=\"data row221 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row222\" class=\"row_heading level0 row222\" >119</th>\n",
              "      <td id=\"T_13bcf_row222_col0\" class=\"data row222 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row222_col1\" class=\"data row222 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row222_col2\" class=\"data row222 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row222_col3\" class=\"data row222 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row222_col4\" class=\"data row222 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row222_col5\" class=\"data row222 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row222_col6\" class=\"data row222 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row222_col7\" class=\"data row222 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row222_col8\" class=\"data row222 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row222_col9\" class=\"data row222 col9\" >000111111010111100</td>\n",
              "      <td id=\"T_13bcf_row222_col10\" class=\"data row222 col10\" >-101.590000</td>\n",
              "      <td id=\"T_13bcf_row222_col11\" class=\"data row222 col11\" >85.850000</td>\n",
              "      <td id=\"T_13bcf_row222_col12\" class=\"data row222 col12\" >8</td>\n",
              "      <td id=\"T_13bcf_row222_col13\" class=\"data row222 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row223\" class=\"row_heading level0 row223\" >120</th>\n",
              "      <td id=\"T_13bcf_row223_col0\" class=\"data row223 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row223_col1\" class=\"data row223 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row223_col2\" class=\"data row223 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row223_col3\" class=\"data row223 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row223_col4\" class=\"data row223 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row223_col5\" class=\"data row223 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row223_col6\" class=\"data row223 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row223_col7\" class=\"data row223 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row223_col8\" class=\"data row223 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row223_col9\" class=\"data row223 col9\" >010111111011111100</td>\n",
              "      <td id=\"T_13bcf_row223_col10\" class=\"data row223 col10\" >-112.990000</td>\n",
              "      <td id=\"T_13bcf_row223_col11\" class=\"data row223 col11\" >94.320000</td>\n",
              "      <td id=\"T_13bcf_row223_col12\" class=\"data row223 col12\" >9</td>\n",
              "      <td id=\"T_13bcf_row223_col13\" class=\"data row223 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row224\" class=\"row_heading level0 row224\" >121</th>\n",
              "      <td id=\"T_13bcf_row224_col0\" class=\"data row224 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row224_col1\" class=\"data row224 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row224_col2\" class=\"data row224 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row224_col3\" class=\"data row224 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row224_col4\" class=\"data row224 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row224_col5\" class=\"data row224 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row224_col6\" class=\"data row224 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row224_col7\" class=\"data row224 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row224_col8\" class=\"data row224 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row224_col9\" class=\"data row224 col9\" >100101000101110001</td>\n",
              "      <td id=\"T_13bcf_row224_col10\" class=\"data row224 col10\" >-71.950000</td>\n",
              "      <td id=\"T_13bcf_row224_col11\" class=\"data row224 col11\" >110.220000</td>\n",
              "      <td id=\"T_13bcf_row224_col12\" class=\"data row224 col12\" >10</td>\n",
              "      <td id=\"T_13bcf_row224_col13\" class=\"data row224 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row225\" class=\"row_heading level0 row225\" >122</th>\n",
              "      <td id=\"T_13bcf_row225_col0\" class=\"data row225 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row225_col1\" class=\"data row225 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row225_col2\" class=\"data row225 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row225_col3\" class=\"data row225 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row225_col4\" class=\"data row225 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row225_col5\" class=\"data row225 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row225_col6\" class=\"data row225 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row225_col7\" class=\"data row225 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row225_col8\" class=\"data row225 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row225_col9\" class=\"data row225 col9\" >110111101001111101</td>\n",
              "      <td id=\"T_13bcf_row225_col10\" class=\"data row225 col10\" >-81.390000</td>\n",
              "      <td id=\"T_13bcf_row225_col11\" class=\"data row225 col11\" >124.690000</td>\n",
              "      <td id=\"T_13bcf_row225_col12\" class=\"data row225 col12\" >11</td>\n",
              "      <td id=\"T_13bcf_row225_col13\" class=\"data row225 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row226\" class=\"row_heading level0 row226\" >123</th>\n",
              "      <td id=\"T_13bcf_row226_col0\" class=\"data row226 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row226_col1\" class=\"data row226 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row226_col2\" class=\"data row226 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row226_col3\" class=\"data row226 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row226_col4\" class=\"data row226 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row226_col5\" class=\"data row226 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row226_col6\" class=\"data row226 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row226_col7\" class=\"data row226 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row226_col8\" class=\"data row226 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row226_col9\" class=\"data row226 col9\" >010111011001001100</td>\n",
              "      <td id=\"T_13bcf_row226_col10\" class=\"data row226 col10\" >-82.690000</td>\n",
              "      <td id=\"T_13bcf_row226_col11\" class=\"data row226 col11\" >137.360000</td>\n",
              "      <td id=\"T_13bcf_row226_col12\" class=\"data row226 col12\" >12</td>\n",
              "      <td id=\"T_13bcf_row226_col13\" class=\"data row226 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row227\" class=\"row_heading level0 row227\" >124</th>\n",
              "      <td id=\"T_13bcf_row227_col0\" class=\"data row227 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row227_col1\" class=\"data row227 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row227_col2\" class=\"data row227 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row227_col3\" class=\"data row227 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row227_col4\" class=\"data row227 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row227_col5\" class=\"data row227 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row227_col6\" class=\"data row227 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row227_col7\" class=\"data row227 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row227_col8\" class=\"data row227 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row227_col9\" class=\"data row227 col9\" >101000000101100011</td>\n",
              "      <td id=\"T_13bcf_row227_col10\" class=\"data row227 col10\" >-102.690000</td>\n",
              "      <td id=\"T_13bcf_row227_col11\" class=\"data row227 col11\" >152.820000</td>\n",
              "      <td id=\"T_13bcf_row227_col12\" class=\"data row227 col12\" >13</td>\n",
              "      <td id=\"T_13bcf_row227_col13\" class=\"data row227 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row228\" class=\"row_heading level0 row228\" >125</th>\n",
              "      <td id=\"T_13bcf_row228_col0\" class=\"data row228 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row228_col1\" class=\"data row228 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row228_col2\" class=\"data row228 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row228_col3\" class=\"data row228 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row228_col4\" class=\"data row228 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row228_col5\" class=\"data row228 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row228_col6\" class=\"data row228 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row228_col7\" class=\"data row228 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row228_col8\" class=\"data row228 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row228_col9\" class=\"data row228 col9\" >100000100111001101</td>\n",
              "      <td id=\"T_13bcf_row228_col10\" class=\"data row228 col10\" >-81.320000</td>\n",
              "      <td id=\"T_13bcf_row228_col11\" class=\"data row228 col11\" >167.500000</td>\n",
              "      <td id=\"T_13bcf_row228_col12\" class=\"data row228 col12\" >14</td>\n",
              "      <td id=\"T_13bcf_row228_col13\" class=\"data row228 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row229\" class=\"row_heading level0 row229\" >126</th>\n",
              "      <td id=\"T_13bcf_row229_col0\" class=\"data row229 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row229_col1\" class=\"data row229 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row229_col2\" class=\"data row229 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row229_col3\" class=\"data row229 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row229_col4\" class=\"data row229 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row229_col5\" class=\"data row229 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row229_col6\" class=\"data row229 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row229_col7\" class=\"data row229 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row229_col8\" class=\"data row229 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row229_col9\" class=\"data row229 col9\" >100000000111000111</td>\n",
              "      <td id=\"T_13bcf_row229_col10\" class=\"data row229 col10\" >-86.570000</td>\n",
              "      <td id=\"T_13bcf_row229_col11\" class=\"data row229 col11\" >182.820000</td>\n",
              "      <td id=\"T_13bcf_row229_col12\" class=\"data row229 col12\" >15</td>\n",
              "      <td id=\"T_13bcf_row229_col13\" class=\"data row229 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row230\" class=\"row_heading level0 row230\" >127</th>\n",
              "      <td id=\"T_13bcf_row230_col0\" class=\"data row230 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row230_col1\" class=\"data row230 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row230_col2\" class=\"data row230 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row230_col3\" class=\"data row230 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row230_col4\" class=\"data row230 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row230_col5\" class=\"data row230 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row230_col6\" class=\"data row230 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row230_col7\" class=\"data row230 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row230_col8\" class=\"data row230 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row230_col9\" class=\"data row230 col9\" >000000000111001001</td>\n",
              "      <td id=\"T_13bcf_row230_col10\" class=\"data row230 col10\" >-74.430000</td>\n",
              "      <td id=\"T_13bcf_row230_col11\" class=\"data row230 col11\" >201.770000</td>\n",
              "      <td id=\"T_13bcf_row230_col12\" class=\"data row230 col12\" >16</td>\n",
              "      <td id=\"T_13bcf_row230_col13\" class=\"data row230 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row231\" class=\"row_heading level0 row231\" >128</th>\n",
              "      <td id=\"T_13bcf_row231_col0\" class=\"data row231 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row231_col1\" class=\"data row231 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row231_col2\" class=\"data row231 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row231_col3\" class=\"data row231 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row231_col4\" class=\"data row231 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row231_col5\" class=\"data row231 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row231_col6\" class=\"data row231 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row231_col7\" class=\"data row231 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row231_col8\" class=\"data row231 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row231_col9\" class=\"data row231 col9\" >011111011000111110</td>\n",
              "      <td id=\"T_13bcf_row231_col10\" class=\"data row231 col10\" >-97.530000</td>\n",
              "      <td id=\"T_13bcf_row231_col11\" class=\"data row231 col11\" >465.240000</td>\n",
              "      <td id=\"T_13bcf_row231_col12\" class=\"data row231 col12\" >17</td>\n",
              "      <td id=\"T_13bcf_row231_col13\" class=\"data row231 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row232\" class=\"row_heading level0 row232\" >129</th>\n",
              "      <td id=\"T_13bcf_row232_col0\" class=\"data row232 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row232_col1\" class=\"data row232 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row232_col2\" class=\"data row232 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row232_col3\" class=\"data row232 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row232_col4\" class=\"data row232 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row232_col5\" class=\"data row232 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row232_col6\" class=\"data row232 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row232_col7\" class=\"data row232 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row232_col8\" class=\"data row232 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row232_col9\" class=\"data row232 col9\" >110101100001011101</td>\n",
              "      <td id=\"T_13bcf_row232_col10\" class=\"data row232 col10\" >-78.520000</td>\n",
              "      <td id=\"T_13bcf_row232_col11\" class=\"data row232 col11\" >235.390000</td>\n",
              "      <td id=\"T_13bcf_row232_col12\" class=\"data row232 col12\" >18</td>\n",
              "      <td id=\"T_13bcf_row232_col13\" class=\"data row232 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row233\" class=\"row_heading level0 row233\" >130</th>\n",
              "      <td id=\"T_13bcf_row233_col0\" class=\"data row233 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row233_col1\" class=\"data row233 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row233_col2\" class=\"data row233 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row233_col3\" class=\"data row233 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row233_col4\" class=\"data row233 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row233_col5\" class=\"data row233 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row233_col6\" class=\"data row233 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row233_col7\" class=\"data row233 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row233_col8\" class=\"data row233 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row233_col9\" class=\"data row233 col9\" >011111111010011110</td>\n",
              "      <td id=\"T_13bcf_row233_col10\" class=\"data row233 col10\" >-85.230000</td>\n",
              "      <td id=\"T_13bcf_row233_col11\" class=\"data row233 col11\" >250.890000</td>\n",
              "      <td id=\"T_13bcf_row233_col12\" class=\"data row233 col12\" >19</td>\n",
              "      <td id=\"T_13bcf_row233_col13\" class=\"data row233 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row234\" class=\"row_heading level0 row234\" >131</th>\n",
              "      <td id=\"T_13bcf_row234_col0\" class=\"data row234 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row234_col1\" class=\"data row234 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row234_col2\" class=\"data row234 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row234_col3\" class=\"data row234 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row234_col4\" class=\"data row234 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row234_col5\" class=\"data row234 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row234_col6\" class=\"data row234 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row234_col7\" class=\"data row234 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row234_col8\" class=\"data row234 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row234_col9\" class=\"data row234 col9\" >101000000111001111</td>\n",
              "      <td id=\"T_13bcf_row234_col10\" class=\"data row234 col10\" >-86.910000</td>\n",
              "      <td id=\"T_13bcf_row234_col11\" class=\"data row234 col11\" >271.280000</td>\n",
              "      <td id=\"T_13bcf_row234_col12\" class=\"data row234 col12\" >20</td>\n",
              "      <td id=\"T_13bcf_row234_col13\" class=\"data row234 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row235\" class=\"row_heading level0 row235\" >132</th>\n",
              "      <td id=\"T_13bcf_row235_col0\" class=\"data row235 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row235_col1\" class=\"data row235 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row235_col2\" class=\"data row235 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row235_col3\" class=\"data row235 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row235_col4\" class=\"data row235 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row235_col5\" class=\"data row235 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row235_col6\" class=\"data row235 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row235_col7\" class=\"data row235 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row235_col8\" class=\"data row235 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row235_col9\" class=\"data row235 col9\" >101000000110110011</td>\n",
              "      <td id=\"T_13bcf_row235_col10\" class=\"data row235 col10\" >-74.360000</td>\n",
              "      <td id=\"T_13bcf_row235_col11\" class=\"data row235 col11\" >293.880000</td>\n",
              "      <td id=\"T_13bcf_row235_col12\" class=\"data row235 col12\" >21</td>\n",
              "      <td id=\"T_13bcf_row235_col13\" class=\"data row235 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row236\" class=\"row_heading level0 row236\" >133</th>\n",
              "      <td id=\"T_13bcf_row236_col0\" class=\"data row236 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row236_col1\" class=\"data row236 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row236_col2\" class=\"data row236 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row236_col3\" class=\"data row236 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row236_col4\" class=\"data row236 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row236_col5\" class=\"data row236 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row236_col6\" class=\"data row236 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row236_col7\" class=\"data row236 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row236_col8\" class=\"data row236 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row236_col9\" class=\"data row236 col9\" >011111111011111100</td>\n",
              "      <td id=\"T_13bcf_row236_col10\" class=\"data row236 col10\" >-92.690000</td>\n",
              "      <td id=\"T_13bcf_row236_col11\" class=\"data row236 col11\" >310.260000</td>\n",
              "      <td id=\"T_13bcf_row236_col12\" class=\"data row236 col12\" >22</td>\n",
              "      <td id=\"T_13bcf_row236_col13\" class=\"data row236 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row237\" class=\"row_heading level0 row237\" >134</th>\n",
              "      <td id=\"T_13bcf_row237_col0\" class=\"data row237 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row237_col1\" class=\"data row237 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row237_col2\" class=\"data row237 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row237_col3\" class=\"data row237 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row237_col4\" class=\"data row237 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row237_col5\" class=\"data row237 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row237_col6\" class=\"data row237 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row237_col7\" class=\"data row237 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row237_col8\" class=\"data row237 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row237_col9\" class=\"data row237 col9\" >100000000101001011</td>\n",
              "      <td id=\"T_13bcf_row237_col10\" class=\"data row237 col10\" >-102.260000</td>\n",
              "      <td id=\"T_13bcf_row237_col11\" class=\"data row237 col11\" >330.640000</td>\n",
              "      <td id=\"T_13bcf_row237_col12\" class=\"data row237 col12\" >23</td>\n",
              "      <td id=\"T_13bcf_row237_col13\" class=\"data row237 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row238\" class=\"row_heading level0 row238\" >135</th>\n",
              "      <td id=\"T_13bcf_row238_col0\" class=\"data row238 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row238_col1\" class=\"data row238 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row238_col2\" class=\"data row238 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row238_col3\" class=\"data row238 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row238_col4\" class=\"data row238 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row238_col5\" class=\"data row238 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row238_col6\" class=\"data row238 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row238_col7\" class=\"data row238 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row238_col8\" class=\"data row238 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row238_col9\" class=\"data row238 col9\" >100101000101001001</td>\n",
              "      <td id=\"T_13bcf_row238_col10\" class=\"data row238 col10\" >-86.320000</td>\n",
              "      <td id=\"T_13bcf_row238_col11\" class=\"data row238 col11\" >727.310000</td>\n",
              "      <td id=\"T_13bcf_row238_col12\" class=\"data row238 col12\" >24</td>\n",
              "      <td id=\"T_13bcf_row238_col13\" class=\"data row238 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row239\" class=\"row_heading level0 row239\" >136</th>\n",
              "      <td id=\"T_13bcf_row239_col0\" class=\"data row239 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row239_col1\" class=\"data row239 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row239_col2\" class=\"data row239 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row239_col3\" class=\"data row239 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row239_col4\" class=\"data row239 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row239_col5\" class=\"data row239 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row239_col6\" class=\"data row239 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row239_col7\" class=\"data row239 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row239_col8\" class=\"data row239 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row239_col9\" class=\"data row239 col9\" >011010110010110010</td>\n",
              "      <td id=\"T_13bcf_row239_col10\" class=\"data row239 col10\" >-80.180000</td>\n",
              "      <td id=\"T_13bcf_row239_col11\" class=\"data row239 col11\" >372.070000</td>\n",
              "      <td id=\"T_13bcf_row239_col12\" class=\"data row239 col12\" >25</td>\n",
              "      <td id=\"T_13bcf_row239_col13\" class=\"data row239 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row240\" class=\"row_heading level0 row240\" >137</th>\n",
              "      <td id=\"T_13bcf_row240_col0\" class=\"data row240 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row240_col1\" class=\"data row240 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row240_col2\" class=\"data row240 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row240_col3\" class=\"data row240 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row240_col4\" class=\"data row240 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row240_col5\" class=\"data row240 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row240_col6\" class=\"data row240 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row240_col7\" class=\"data row240 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row240_col8\" class=\"data row240 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row240_col9\" class=\"data row240 col9\" >010010111010100100</td>\n",
              "      <td id=\"T_13bcf_row240_col10\" class=\"data row240 col10\" >-80.840000</td>\n",
              "      <td id=\"T_13bcf_row240_col11\" class=\"data row240 col11\" >388.620000</td>\n",
              "      <td id=\"T_13bcf_row240_col12\" class=\"data row240 col12\" >26</td>\n",
              "      <td id=\"T_13bcf_row240_col13\" class=\"data row240 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row241\" class=\"row_heading level0 row241\" >138</th>\n",
              "      <td id=\"T_13bcf_row241_col0\" class=\"data row241 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row241_col1\" class=\"data row241 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row241_col2\" class=\"data row241 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row241_col3\" class=\"data row241 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row241_col4\" class=\"data row241 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row241_col5\" class=\"data row241 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row241_col6\" class=\"data row241 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row241_col7\" class=\"data row241 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row241_col8\" class=\"data row241 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row241_col9\" class=\"data row241 col9\" >100101101111111101</td>\n",
              "      <td id=\"T_13bcf_row241_col10\" class=\"data row241 col10\" >-88.900000</td>\n",
              "      <td id=\"T_13bcf_row241_col11\" class=\"data row241 col11\" >413.320000</td>\n",
              "      <td id=\"T_13bcf_row241_col12\" class=\"data row241 col12\" >27</td>\n",
              "      <td id=\"T_13bcf_row241_col13\" class=\"data row241 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row242\" class=\"row_heading level0 row242\" >139</th>\n",
              "      <td id=\"T_13bcf_row242_col0\" class=\"data row242 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row242_col1\" class=\"data row242 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row242_col2\" class=\"data row242 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row242_col3\" class=\"data row242 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row242_col4\" class=\"data row242 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row242_col5\" class=\"data row242 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row242_col6\" class=\"data row242 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row242_col7\" class=\"data row242 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row242_col8\" class=\"data row242 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row242_col9\" class=\"data row242 col9\" >111111111010111100</td>\n",
              "      <td id=\"T_13bcf_row242_col10\" class=\"data row242 col10\" >-90.310000</td>\n",
              "      <td id=\"T_13bcf_row242_col11\" class=\"data row242 col11\" >432.570000</td>\n",
              "      <td id=\"T_13bcf_row242_col12\" class=\"data row242 col12\" >28</td>\n",
              "      <td id=\"T_13bcf_row242_col13\" class=\"data row242 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row243\" class=\"row_heading level0 row243\" >140</th>\n",
              "      <td id=\"T_13bcf_row243_col0\" class=\"data row243 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row243_col1\" class=\"data row243 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row243_col2\" class=\"data row243 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row243_col3\" class=\"data row243 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row243_col4\" class=\"data row243 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row243_col5\" class=\"data row243 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row243_col6\" class=\"data row243 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row243_col7\" class=\"data row243 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row243_col8\" class=\"data row243 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row243_col9\" class=\"data row243 col9\" >100000000111100001</td>\n",
              "      <td id=\"T_13bcf_row243_col10\" class=\"data row243 col10\" >-94.730000</td>\n",
              "      <td id=\"T_13bcf_row243_col11\" class=\"data row243 col11\" >459.700000</td>\n",
              "      <td id=\"T_13bcf_row243_col12\" class=\"data row243 col12\" >29</td>\n",
              "      <td id=\"T_13bcf_row243_col13\" class=\"data row243 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row244\" class=\"row_heading level0 row244\" >141</th>\n",
              "      <td id=\"T_13bcf_row244_col0\" class=\"data row244 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row244_col1\" class=\"data row244 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row244_col2\" class=\"data row244 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row244_col3\" class=\"data row244 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row244_col4\" class=\"data row244 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row244_col5\" class=\"data row244 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row244_col6\" class=\"data row244 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row244_col7\" class=\"data row244 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row244_col8\" class=\"data row244 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row244_col9\" class=\"data row244 col9\" >100101000111111001</td>\n",
              "      <td id=\"T_13bcf_row244_col10\" class=\"data row244 col10\" >-82.590000</td>\n",
              "      <td id=\"T_13bcf_row244_col11\" class=\"data row244 col11\" >481.680000</td>\n",
              "      <td id=\"T_13bcf_row244_col12\" class=\"data row244 col12\" >30</td>\n",
              "      <td id=\"T_13bcf_row244_col13\" class=\"data row244 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row245\" class=\"row_heading level0 row245\" >142</th>\n",
              "      <td id=\"T_13bcf_row245_col0\" class=\"data row245 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row245_col1\" class=\"data row245 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row245_col2\" class=\"data row245 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row245_col3\" class=\"data row245 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row245_col4\" class=\"data row245 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row245_col5\" class=\"data row245 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row245_col6\" class=\"data row245 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row245_col7\" class=\"data row245 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row245_col8\" class=\"data row245 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row245_col9\" class=\"data row245 col9\" >110101100101001101</td>\n",
              "      <td id=\"T_13bcf_row245_col10\" class=\"data row245 col10\" >-78.570000</td>\n",
              "      <td id=\"T_13bcf_row245_col11\" class=\"data row245 col11\" >1049.670000</td>\n",
              "      <td id=\"T_13bcf_row245_col12\" class=\"data row245 col12\" >31</td>\n",
              "      <td id=\"T_13bcf_row245_col13\" class=\"data row245 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row246\" class=\"row_heading level0 row246\" >143</th>\n",
              "      <td id=\"T_13bcf_row246_col0\" class=\"data row246 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row246_col1\" class=\"data row246 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row246_col2\" class=\"data row246 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row246_col3\" class=\"data row246 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row246_col4\" class=\"data row246 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row246_col5\" class=\"data row246 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row246_col6\" class=\"data row246 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row246_col7\" class=\"data row246 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row246_col8\" class=\"data row246 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row246_col9\" class=\"data row246 col9\" >100101000101011011</td>\n",
              "      <td id=\"T_13bcf_row246_col10\" class=\"data row246 col10\" >-77.440000</td>\n",
              "      <td id=\"T_13bcf_row246_col11\" class=\"data row246 col11\" >530.400000</td>\n",
              "      <td id=\"T_13bcf_row246_col12\" class=\"data row246 col12\" >32</td>\n",
              "      <td id=\"T_13bcf_row246_col13\" class=\"data row246 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row247\" class=\"row_heading level0 row247\" >144</th>\n",
              "      <td id=\"T_13bcf_row247_col0\" class=\"data row247 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row247_col1\" class=\"data row247 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row247_col2\" class=\"data row247 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row247_col3\" class=\"data row247 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row247_col4\" class=\"data row247 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row247_col5\" class=\"data row247 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row247_col6\" class=\"data row247 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row247_col7\" class=\"data row247 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row247_col8\" class=\"data row247 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row247_col9\" class=\"data row247 col9\" >010011111010110100</td>\n",
              "      <td id=\"T_13bcf_row247_col10\" class=\"data row247 col10\" >-78.640000</td>\n",
              "      <td id=\"T_13bcf_row247_col11\" class=\"data row247 col11\" >1158.080000</td>\n",
              "      <td id=\"T_13bcf_row247_col12\" class=\"data row247 col12\" >33</td>\n",
              "      <td id=\"T_13bcf_row247_col13\" class=\"data row247 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row248\" class=\"row_heading level0 row248\" >145</th>\n",
              "      <td id=\"T_13bcf_row248_col0\" class=\"data row248 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row248_col1\" class=\"data row248 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row248_col2\" class=\"data row248 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row248_col3\" class=\"data row248 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row248_col4\" class=\"data row248 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row248_col5\" class=\"data row248 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row248_col6\" class=\"data row248 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row248_col7\" class=\"data row248 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row248_col8\" class=\"data row248 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row248_col9\" class=\"data row248 col9\" >011111101000111100</td>\n",
              "      <td id=\"T_13bcf_row248_col10\" class=\"data row248 col10\" >-71.520000</td>\n",
              "      <td id=\"T_13bcf_row248_col11\" class=\"data row248 col11\" >587.740000</td>\n",
              "      <td id=\"T_13bcf_row248_col12\" class=\"data row248 col12\" >34</td>\n",
              "      <td id=\"T_13bcf_row248_col13\" class=\"data row248 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row249\" class=\"row_heading level0 row249\" >146</th>\n",
              "      <td id=\"T_13bcf_row249_col0\" class=\"data row249 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row249_col1\" class=\"data row249 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row249_col2\" class=\"data row249 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row249_col3\" class=\"data row249 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row249_col4\" class=\"data row249 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row249_col5\" class=\"data row249 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row249_col6\" class=\"data row249 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row249_col7\" class=\"data row249 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row249_col8\" class=\"data row249 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row249_col9\" class=\"data row249 col9\" >011111011000111110</td>\n",
              "      <td id=\"T_13bcf_row249_col10\" class=\"data row249 col10\" >-97.530000</td>\n",
              "      <td id=\"T_13bcf_row249_col11\" class=\"data row249 col11\" >616.990000</td>\n",
              "      <td id=\"T_13bcf_row249_col12\" class=\"data row249 col12\" >35</td>\n",
              "      <td id=\"T_13bcf_row249_col13\" class=\"data row249 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row250\" class=\"row_heading level0 row250\" >147</th>\n",
              "      <td id=\"T_13bcf_row250_col0\" class=\"data row250 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row250_col1\" class=\"data row250 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row250_col2\" class=\"data row250 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row250_col3\" class=\"data row250 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row250_col4\" class=\"data row250 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row250_col5\" class=\"data row250 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row250_col6\" class=\"data row250 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row250_col7\" class=\"data row250 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row250_col8\" class=\"data row250 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row250_col9\" class=\"data row250 col9\" >010111011001001100</td>\n",
              "      <td id=\"T_13bcf_row250_col10\" class=\"data row250 col10\" >-82.690000</td>\n",
              "      <td id=\"T_13bcf_row250_col11\" class=\"data row250 col11\" >637.320000</td>\n",
              "      <td id=\"T_13bcf_row250_col12\" class=\"data row250 col12\" >36</td>\n",
              "      <td id=\"T_13bcf_row250_col13\" class=\"data row250 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row251\" class=\"row_heading level0 row251\" >148</th>\n",
              "      <td id=\"T_13bcf_row251_col0\" class=\"data row251 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row251_col1\" class=\"data row251 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row251_col2\" class=\"data row251 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row251_col3\" class=\"data row251 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row251_col4\" class=\"data row251 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row251_col5\" class=\"data row251 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row251_col6\" class=\"data row251 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row251_col7\" class=\"data row251 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row251_col8\" class=\"data row251 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row251_col9\" class=\"data row251 col9\" >011111011011111100</td>\n",
              "      <td id=\"T_13bcf_row251_col10\" class=\"data row251 col10\" >-75.900000</td>\n",
              "      <td id=\"T_13bcf_row251_col11\" class=\"data row251 col11\" >1380.970000</td>\n",
              "      <td id=\"T_13bcf_row251_col12\" class=\"data row251 col12\" >37</td>\n",
              "      <td id=\"T_13bcf_row251_col13\" class=\"data row251 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row252\" class=\"row_heading level0 row252\" >149</th>\n",
              "      <td id=\"T_13bcf_row252_col0\" class=\"data row252 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row252_col1\" class=\"data row252 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row252_col2\" class=\"data row252 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row252_col3\" class=\"data row252 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row252_col4\" class=\"data row252 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row252_col5\" class=\"data row252 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row252_col6\" class=\"data row252 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row252_col7\" class=\"data row252 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row252_col8\" class=\"data row252 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row252_col9\" class=\"data row252 col9\" >110101101001010101</td>\n",
              "      <td id=\"T_13bcf_row252_col10\" class=\"data row252 col10\" >-67.750000</td>\n",
              "      <td id=\"T_13bcf_row252_col11\" class=\"data row252 col11\" >1431.790000</td>\n",
              "      <td id=\"T_13bcf_row252_col12\" class=\"data row252 col12\" >38</td>\n",
              "      <td id=\"T_13bcf_row252_col13\" class=\"data row252 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row253\" class=\"row_heading level0 row253\" >150</th>\n",
              "      <td id=\"T_13bcf_row253_col0\" class=\"data row253 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row253_col1\" class=\"data row253 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row253_col2\" class=\"data row253 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row253_col3\" class=\"data row253 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row253_col4\" class=\"data row253 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row253_col5\" class=\"data row253 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row253_col6\" class=\"data row253 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row253_col7\" class=\"data row253 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row253_col8\" class=\"data row253 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row253_col9\" class=\"data row253 col9\" >101000100100000011</td>\n",
              "      <td id=\"T_13bcf_row253_col10\" class=\"data row253 col10\" >-96.220000</td>\n",
              "      <td id=\"T_13bcf_row253_col11\" class=\"data row253 col11\" >724.230000</td>\n",
              "      <td id=\"T_13bcf_row253_col12\" class=\"data row253 col12\" >39</td>\n",
              "      <td id=\"T_13bcf_row253_col13\" class=\"data row253 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row254\" class=\"row_heading level0 row254\" >151</th>\n",
              "      <td id=\"T_13bcf_row254_col0\" class=\"data row254 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row254_col1\" class=\"data row254 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row254_col2\" class=\"data row254 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row254_col3\" class=\"data row254 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row254_col4\" class=\"data row254 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row254_col5\" class=\"data row254 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row254_col6\" class=\"data row254 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row254_col7\" class=\"data row254 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row254_col8\" class=\"data row254 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row254_col9\" class=\"data row254 col9\" >010111001001001100</td>\n",
              "      <td id=\"T_13bcf_row254_col10\" class=\"data row254 col10\" >-90.130000</td>\n",
              "      <td id=\"T_13bcf_row254_col11\" class=\"data row254 col11\" >760.090000</td>\n",
              "      <td id=\"T_13bcf_row254_col12\" class=\"data row254 col12\" >40</td>\n",
              "      <td id=\"T_13bcf_row254_col13\" class=\"data row254 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_13bcf_level0_row255\" class=\"row_heading level0 row255\" >152</th>\n",
              "      <td id=\"T_13bcf_row255_col0\" class=\"data row255 col0\" >normal</td>\n",
              "      <td id=\"T_13bcf_row255_col1\" class=\"data row255 col1\" >18</td>\n",
              "      <td id=\"T_13bcf_row255_col2\" class=\"data row255 col2\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row255_col3\" class=\"data row255 col3\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row255_col4\" class=\"data row255 col4\" >32.030000</td>\n",
              "      <td id=\"T_13bcf_row255_col5\" class=\"data row255 col5\" >010111111010111100</td>\n",
              "      <td id=\"T_13bcf_row255_col6\" class=\"data row255 col6\" >-123.340000</td>\n",
              "      <td id=\"T_13bcf_row255_col7\" class=\"data row255 col7\" >29.070000</td>\n",
              "      <td id=\"T_13bcf_row255_col8\" class=\"data row255 col8\" >True</td>\n",
              "      <td id=\"T_13bcf_row255_col9\" class=\"data row255 col9\" >101000010110110011</td>\n",
              "      <td id=\"T_13bcf_row255_col10\" class=\"data row255 col10\" >-93.920000</td>\n",
              "      <td id=\"T_13bcf_row255_col11\" class=\"data row255 col11\" >794.980000</td>\n",
              "      <td id=\"T_13bcf_row255_col12\" class=\"data row255 col12\" >41</td>\n",
              "      <td id=\"T_13bcf_row255_col13\" class=\"data row255 col13\" >False\n",
              "</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ],
      "source": [
        "#view output table\n",
        "def highlight_false(s, column):\n",
        "    is_false = pd.Series(data=False, index=s.index)\n",
        "    is_false[column] = s.loc[column].strip() == 'False'\n",
        "    return ['color: #A16060' if is_false.any() else '' for v in is_false]\n",
        "\n",
        "column_arrays = [['Distribution', 'No. of Agents', 'Brute Force Solution','Brute Force Solution','Brute Force Solution', \\\n",
        "                  'Qiskit Eigensolver','Qiskit Eigensolver','Qiskit Eigensolver','Qiskit Eigensolver', 'Qiskit QAOA','Qiskit QAOA',\\\n",
        "                  'Qiskit QAOA', 'Qiskit QAOA', 'Qiskit QAOA'], \n",
        "                 ['', '', 'Result', 'Value', 'TTE', 'Result', 'Value', 'TTE', 'Correctness', 'Result', 'Value', 'TTE', 'reps (p)', 'Correctness']]\n",
        "\n",
        "#df = pd.DataFrame(table_contents, columns=table_headers)\n",
        "df = pd.DataFrame(table_contents, columns=pd.MultiIndex.from_arrays(column_arrays))\n",
        "\n",
        "df.apply(pd.to_numeric, errors='ignore')\n",
        "\n",
        "for col in df.columns:\n",
        "  try:\n",
        "    if 'No. of Agents' in col or 'reps (p)' in col:\n",
        "      df[col] = df[col].astype(int)\n",
        "    elif 'Result' in col:\n",
        "      raise\n",
        "    else:\n",
        "      df[col] = df[col].astype(float)\n",
        "  except:\n",
        "    continue\n",
        "\n",
        "df.sort_values(['Distribution','No. of Agents', ('Qiskit QAOA', 'reps (p)')], ascending=[True, True, True], inplace=True)\n",
        "\n",
        "df = df.round(decimals = 2)\n",
        "\n",
        "s = df.style.apply(highlight_false, column=('Qiskit QAOA', 'Correctness'), axis=1)\n",
        "cell_hover = {  # for row hover use <tr> instead of <td>\n",
        "    'selector': 'td:hover',\n",
        "    'props': [('background-color', 'grey')]\n",
        "}\n",
        "index_names = {\n",
        "    'selector': '.index_name',\n",
        "    'props': 'font-style: italic; color: darkgrey; font-weight:normal;'\n",
        "}\n",
        "headers = {\n",
        "    'selector': 'th:not(.index_name)',\n",
        "    'props': 'background-color: #1D1D1D; color: white;'\n",
        "}\n",
        "s.set_table_styles([cell_hover, index_names, headers])\n",
        "\n",
        "tte_col_bgcolor = '154360'\n",
        "value_col_bgcolor = '784212'\n",
        "resullt_col_bgcolor = '186A3B'\n",
        "correctness_col_bgcolor = '693f3f'\n",
        "\n",
        "\n",
        "s.set_table_styles({\n",
        "    ('No. of Agents', ''): [{'selector': 'th', 'props': 'border-left: 1px solid white'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid white'}],\n",
        "    ('Brute Force Solution', 'Result'): [{'selector': 'th', 'props': 'border-left: 1px solid white'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid white; background-color: #'+resullt_col_bgcolor}],\n",
        "    ('Brute Force Solution', 'Value'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+value_col_bgcolor}],\n",
        "    ('Brute Force Solution', 'TTE'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+tte_col_bgcolor}],\n",
        "    ('Qiskit Eigensolver', 'Result'): [{'selector': 'th', 'props': 'border-left: 1px solid white'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid white; background-color: #'+resullt_col_bgcolor}],\n",
        "    ('Qiskit Eigensolver', 'Value'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+value_col_bgcolor}],\n",
        "    ('Qiskit Eigensolver', 'TTE'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+tte_col_bgcolor}],\n",
        "    ('Qiskit Eigensolver', 'Correctness'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+correctness_col_bgcolor}],\n",
        "    ('Qiskit QAOA', 'Result'): [{'selector': 'th', 'props': 'border-left: 1px solid white'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid white; background-color: #'+resullt_col_bgcolor}],\n",
        "    ('Qiskit QAOA', 'Value'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+value_col_bgcolor}],\n",
        "    ('Qiskit QAOA', 'TTE'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+tte_col_bgcolor}],\n",
        "    ('Qiskit QAOA', 'reps (p)'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black'}],\n",
        "    ('Qiskit QAOA', 'Correctness'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+correctness_col_bgcolor}],\n",
        "    ('Dwave Annealer', 'Result'): [{'selector': 'th', 'props': 'border-left: 1px solid white'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid white; background-color: #'+resullt_col_bgcolor}],\n",
        "    ('Dwave Annealer', 'Value'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+value_col_bgcolor}],\n",
        "    ('Dwave Annealer', 'TTE'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+tte_col_bgcolor}],\n",
        "    ('Dwave Annealer', 'Correctness'): [{'selector': 'th', 'props': 'border-left: 1px solid black'},\n",
        "                               {'selector': 'td', 'props': 'border-left: 1px solid black; background-color:#'+correctness_col_bgcolor}]\n",
        "}, overwrite=False, axis=0)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# For p=1, but also plot the quality of the solution with the same experimental result. \n",
        "\n",
        "# Also try for Uniform distribution"
      ],
      "metadata": {
        "id": "5vO1SnlXxR0w"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#df = df[df[('Qiskit QAOA', 'Correctness')]=='True\\n']\n",
        "\n",
        "df = df[df[('Qiskit QAOA', 'reps (p)')]==1]\n",
        "df.head()"
      ],
      "metadata": {
        "id": "elqBBhNtxRwR",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "outputId": "b52d0f5a-650f-4c43-83b8-9dad393c7fbc"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Distribution No. of Agents Brute Force Solution              \\\n",
              "                                             Result  Value  TTE   \n",
              "153      laplace             2                   00  -0.00  0.0   \n",
              "154      laplace             3                  110  -6.74  0.0   \n",
              "155      laplace             4                 1000  -4.24  0.0   \n",
              "156      laplace             5                00110  -6.09  0.0   \n",
              "157      laplace             6               010110 -16.80  0.0   \n",
              "\n",
              "    Qiskit Eigensolver                          Qiskit QAOA               \\\n",
              "                Result  Value   TTE Correctness      Result  Value   TTE   \n",
              "153                 00  -0.00  0.05        True          00  -0.00  1.22   \n",
              "154                110  -6.74  0.02        True         110  -6.74  0.11   \n",
              "155               1000  -4.24  0.03        True        1000  -4.24  0.17   \n",
              "156              11001  -6.09  0.03        True       00110  -6.09  0.20   \n",
              "157             010110 -16.80  0.04        True      110110 -15.79  0.47   \n",
              "\n",
              "                          \n",
              "    reps (p) Correctness  \n",
              "153        1      True\\n  \n",
              "154        1      True\\n  \n",
              "155        1      True\\n  \n",
              "156        1      True\\n  \n",
              "157        1     False\\n  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-69d2a462-f593-4715-b85f-251f1f808194\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead tr th {\n",
              "        text-align: left;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>Distribution</th>\n",
              "      <th>No. of Agents</th>\n",
              "      <th colspan=\"3\" halign=\"left\">Brute Force Solution</th>\n",
              "      <th colspan=\"4\" halign=\"left\">Qiskit Eigensolver</th>\n",
              "      <th colspan=\"5\" halign=\"left\">Qiskit QAOA</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>Result</th>\n",
              "      <th>Value</th>\n",
              "      <th>TTE</th>\n",
              "      <th>Result</th>\n",
              "      <th>Value</th>\n",
              "      <th>TTE</th>\n",
              "      <th>Correctness</th>\n",
              "      <th>Result</th>\n",
              "      <th>Value</th>\n",
              "      <th>TTE</th>\n",
              "      <th>reps (p)</th>\n",
              "      <th>Correctness</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>laplace</td>\n",
              "      <td>2</td>\n",
              "      <td>00</td>\n",
              "      <td>-0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>00</td>\n",
              "      <td>-0.00</td>\n",
              "      <td>0.05</td>\n",
              "      <td>True</td>\n",
              "      <td>00</td>\n",
              "      <td>-0.00</td>\n",
              "      <td>1.22</td>\n",
              "      <td>1</td>\n",
              "      <td>True\\n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>laplace</td>\n",
              "      <td>3</td>\n",
              "      <td>110</td>\n",
              "      <td>-6.74</td>\n",
              "      <td>0.0</td>\n",
              "      <td>110</td>\n",
              "      <td>-6.74</td>\n",
              "      <td>0.02</td>\n",
              "      <td>True</td>\n",
              "      <td>110</td>\n",
              "      <td>-6.74</td>\n",
              "      <td>0.11</td>\n",
              "      <td>1</td>\n",
              "      <td>True\\n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>laplace</td>\n",
              "      <td>4</td>\n",
              "      <td>1000</td>\n",
              "      <td>-4.24</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1000</td>\n",
              "      <td>-4.24</td>\n",
              "      <td>0.03</td>\n",
              "      <td>True</td>\n",
              "      <td>1000</td>\n",
              "      <td>-4.24</td>\n",
              "      <td>0.17</td>\n",
              "      <td>1</td>\n",
              "      <td>True\\n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>156</th>\n",
              "      <td>laplace</td>\n",
              "      <td>5</td>\n",
              "      <td>00110</td>\n",
              "      <td>-6.09</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11001</td>\n",
              "      <td>-6.09</td>\n",
              "      <td>0.03</td>\n",
              "      <td>True</td>\n",
              "      <td>00110</td>\n",
              "      <td>-6.09</td>\n",
              "      <td>0.20</td>\n",
              "      <td>1</td>\n",
              "      <td>True\\n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>laplace</td>\n",
              "      <td>6</td>\n",
              "      <td>010110</td>\n",
              "      <td>-16.80</td>\n",
              "      <td>0.0</td>\n",
              "      <td>010110</td>\n",
              "      <td>-16.80</td>\n",
              "      <td>0.04</td>\n",
              "      <td>True</td>\n",
              "      <td>110110</td>\n",
              "      <td>-15.79</td>\n",
              "      <td>0.47</td>\n",
              "      <td>1</td>\n",
              "      <td>False\\n</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "      height: 32px;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-69d2a462-f593-4715-b85f-251f1f808194 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-69d2a462-f593-4715-b85f-251f1f808194');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Plot runtimes for min-cut: Classical (brute force) vs Gate-based (QAOA)"
      ],
      "metadata": {
        "id": "MhWs5upQcI2L"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#report_filename = '/content/drive/MyDrive/Saarland/QAI/gate_based_GCS/split_report_' +  str(seed) + '_' + simulator + '.txt'\n",
        "report_filename = 'split_report_' +  str(seed) + '_' + simulator + '.txt'\n",
        "\n",
        "\n",
        "report_file_obj = open(report_filename,'r')\n",
        "table_contents = [line.split('__') for line in report_file_obj.readlines()]\n",
        "\n",
        "\n",
        "df = pd.DataFrame(table_contents, columns=pd.MultiIndex.from_arrays(column_arrays))\n",
        "\n",
        "df.apply(pd.to_numeric, errors='ignore')\n",
        "\n",
        "for col in df.columns:\n",
        "  try:\n",
        "    if 'No. of Agents' in col or 'reps (p)' in col:\n",
        "      df[col] = df[col].astype(int)\n",
        "    elif 'Result' in col:\n",
        "      raise\n",
        "    else:\n",
        "      df[col] = df[col].astype(float)\n",
        "  except:\n",
        "    continue\n",
        "\n",
        "df.sort_values(['Distribution','No. of Agents', ('Qiskit QAOA', 'reps (p)')], ascending=[True, True, True], inplace=True)\n",
        "\n",
        "df = df.round(decimals = 2)\n",
        "\n",
        "\n",
        "df = df[df[('Qiskit QAOA', 'reps (p)')]==1]\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "JIZ9P_5EcATI",
        "outputId": "93df6e6a-4f9b-4fac-d6bf-ada1e01d48ef"
      },
      "execution_count": 200,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Distribution No. of Agents Brute Force Solution              \\\n",
              "                                             Result  Value  TTE   \n",
              "153      laplace             2                   00  -0.00  0.0   \n",
              "154      laplace             3                  110  -6.74  0.0   \n",
              "155      laplace             4                 1000  -4.24  0.0   \n",
              "156      laplace             5                00110  -6.09  0.0   \n",
              "157      laplace             6               010110 -16.80  0.0   \n",
              "\n",
              "    Qiskit Eigensolver                          Qiskit QAOA               \\\n",
              "                Result  Value   TTE Correctness      Result  Value   TTE   \n",
              "153                 00  -0.00  0.05        True          00  -0.00  1.22   \n",
              "154                110  -6.74  0.02        True         110  -6.74  0.11   \n",
              "155               1000  -4.24  0.03        True        1000  -4.24  0.17   \n",
              "156              11001  -6.09  0.03        True       00110  -6.09  0.20   \n",
              "157             010110 -16.80  0.04        True      110110 -15.79  0.47   \n",
              "\n",
              "                          \n",
              "    reps (p) Correctness  \n",
              "153        1      True\\n  \n",
              "154        1      True\\n  \n",
              "155        1      True\\n  \n",
              "156        1      True\\n  \n",
              "157        1     False\\n  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-700df2ab-ce85-45c3-8285-092b5f36aa04\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead tr th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>Distribution</th>\n",
              "      <th>No. of Agents</th>\n",
              "      <th colspan=\"3\" halign=\"left\">Brute Force Solution</th>\n",
              "      <th colspan=\"4\" halign=\"left\">Qiskit Eigensolver</th>\n",
              "      <th colspan=\"5\" halign=\"left\">Qiskit QAOA</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>Result</th>\n",
              "      <th>Value</th>\n",
              "      <th>TTE</th>\n",
              "      <th>Result</th>\n",
              "      <th>Value</th>\n",
              "      <th>TTE</th>\n",
              "      <th>Correctness</th>\n",
              "      <th>Result</th>\n",
              "      <th>Value</th>\n",
              "      <th>TTE</th>\n",
              "      <th>reps (p)</th>\n",
              "      <th>Correctness</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>153</th>\n",
              "      <td>laplace</td>\n",
              "      <td>2</td>\n",
              "      <td>00</td>\n",
              "      <td>-0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>00</td>\n",
              "      <td>-0.00</td>\n",
              "      <td>0.05</td>\n",
              "      <td>True</td>\n",
              "      <td>00</td>\n",
              "      <td>-0.00</td>\n",
              "      <td>1.22</td>\n",
              "      <td>1</td>\n",
              "      <td>True\\n</td>\n",
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              "    <tr>\n",
              "      <th>154</th>\n",
              "      <td>laplace</td>\n",
              "      <td>3</td>\n",
              "      <td>110</td>\n",
              "      <td>-6.74</td>\n",
              "      <td>0.0</td>\n",
              "      <td>110</td>\n",
              "      <td>-6.74</td>\n",
              "      <td>0.02</td>\n",
              "      <td>True</td>\n",
              "      <td>110</td>\n",
              "      <td>-6.74</td>\n",
              "      <td>0.11</td>\n",
              "      <td>1</td>\n",
              "      <td>True\\n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>laplace</td>\n",
              "      <td>4</td>\n",
              "      <td>1000</td>\n",
              "      <td>-4.24</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1000</td>\n",
              "      <td>-4.24</td>\n",
              "      <td>0.03</td>\n",
              "      <td>True</td>\n",
              "      <td>1000</td>\n",
              "      <td>-4.24</td>\n",
              "      <td>0.17</td>\n",
              "      <td>1</td>\n",
              "      <td>True\\n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>156</th>\n",
              "      <td>laplace</td>\n",
              "      <td>5</td>\n",
              "      <td>00110</td>\n",
              "      <td>-6.09</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11001</td>\n",
              "      <td>-6.09</td>\n",
              "      <td>0.03</td>\n",
              "      <td>True</td>\n",
              "      <td>00110</td>\n",
              "      <td>-6.09</td>\n",
              "      <td>0.20</td>\n",
              "      <td>1</td>\n",
              "      <td>True\\n</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>157</th>\n",
              "      <td>laplace</td>\n",
              "      <td>6</td>\n",
              "      <td>010110</td>\n",
              "      <td>-16.80</td>\n",
              "      <td>0.0</td>\n",
              "      <td>010110</td>\n",
              "      <td>-16.80</td>\n",
              "      <td>0.04</td>\n",
              "      <td>True</td>\n",
              "      <td>110110</td>\n",
              "      <td>-15.79</td>\n",
              "      <td>0.47</td>\n",
              "      <td>1</td>\n",
              "      <td>False\\n</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-700df2ab-ce85-45c3-8285-092b5f36aa04');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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            ]
          },
          "metadata": {},
          "execution_count": 200
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#folder = os.path.join('/content/drive/MyDrive/Saarland/QAI/gate_based_GCS/QAOA_results', str(123))\n",
        "\n",
        "folder = os.path.join('QAOA_results', str(123))\n",
        "out_folder= 'Optimal Split Plots'\n",
        "df=df\n",
        "log_scale=True\n",
        "save=True\n",
        "font=14\n",
        "labels = [['Brute Force Solution', 'Min-cut brute force solver(Classical)'], ['Qiskit QAOA', 'QAOA (for p=1)']]\n",
        "\n",
        "\n",
        "fig, ax = plt.subplots(1, 2, sharey=True, figsize=(16,6))\n",
        "fig.set_tight_layout(True)\n",
        "ax[0].set_ylabel(r\"(log scale) Time to execute - sec\", fontsize=font+8)\n",
        "plt.setp(ax, xticks=np.arange(0, 27, 3))#), xticklabels=np.arange(2, 27, 3))\n",
        "\n",
        "\n",
        "current_folder = os.path.join(folder, out_folder )\n",
        "create_dir(current_folder)\n",
        "\n",
        "i=0\n",
        "\n",
        "for distr in df.Distribution.unique():\n",
        "    print(distr)\n",
        "    data = df[df.Distribution == distr]\n",
        "\n",
        "    n = np.array(list(map(int,data['No. of Agents'])))\n",
        "\n",
        "    #ax[i].figure(figsize=(8,5))\n",
        "    x = data['No. of Agents'].to_numpy()\n",
        "\n",
        "    y_classical = data[(labels[0][0], 'TTE')].astype(float).to_numpy()\n",
        "    y_classical_theoretical = (2)**(n)\n",
        "\n",
        "    y_QAOA = data[(labels[1][0], 'TTE')].astype(float).to_numpy()\n",
        "    y_QAOA_theoretical = (n)**(2)\n",
        "\n",
        "    if log_scale:\n",
        "        y_classical = np.log(y_classical+1)\n",
        "        y_classical_theoretical = np.log(y_classical_theoretical+1)\n",
        "        y_QAOA = np.log(y_QAOA+1)\n",
        "        y_QAOA_theoretical = np.log(y_QAOA_theoretical+1)\n",
        "        file = os.path.join(current_folder, simulator+'_runtimes_log.png')\n",
        "    else:\n",
        "        file = os.path.join(current_folder, simulator+'_runtimes.png')\n",
        "        \n",
        "    ax[i].scatter(x, y_classical, label=\"Classical (Observed)\")\n",
        "    ax[i].plot(x, y_classical)\n",
        "    ax[i].plot(x, y_classical_theoretical,  linestyle = 'dotted', label=\"Classical ($O(2^n)$)\", color='#1f77b4', linewidth=2.0)\n",
        "\n",
        "    ax[i].scatter(x, y_QAOA, label=\"QAOA (Observed)\")\n",
        "    ax[i].plot(x, y_QAOA)\n",
        "    ax[i].plot(x, y_QAOA_theoretical,  linestyle = 'dotted', label=\"QAOA ($O(n^2)$)\", color='#ff7f0e', linewidth=2.0)\n",
        "    ax[i].tick_params(axis=\"both\", labelsize=font+4)\n",
        "\n",
        "    ax[i].set_xlabel(r'No. of Agents ',fontdict={'fontsize':font+4})\n",
        "\n",
        "    ax[i].grid(alpha=.5)\n",
        "    ax[i].set_title(distr.title(), fontdict={'fontsize':font+6})\n",
        "    ax[i].legend(fontsize=font+6)\n",
        "    i+=1\n",
        "if save:\n",
        "    print(file)\n",
        "    plt.savefig(file, dpi=300, bbox_inches = \"tight\")\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "MFWXlN7VxRsS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 493
        },
        "outputId": "191d7807-f810-4a39-c240-d1e9e5a222c0"
      },
      "execution_count": 201,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "laplace\n",
            "normal\n",
            "/content/drive/MyDrive/Saarland/QAI/gate_based_GCS/QAOA_results/123/Optimal Split Plots/aer_simulator_runtimes_log.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x432 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Plot error for gate-based (QAOA) solution of min-cut"
      ],
      "metadata": {
        "id": "zA7fVDQ3cHLF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "bruteforce_values = list(df[('Brute Force Solution','Value')])\n",
        "qaoa_values = list(df[('Qiskit QAOA','Value')])\n",
        "gate_based_quality = []\n",
        "\n",
        "for i, bruteforce_value in enumerate(bruteforce_values):\n",
        "  if bruteforce_value:\n",
        "    try:\n",
        "        gate_based_quality.append(abs((abs(qaoa_values[i]-bruteforce_value)/bruteforce_value)))\n",
        "    except:\n",
        "        gate_based_quality.append(abs((abs(qaoa_values[i]-bruteforce_value))))\n",
        "  else:\n",
        "    gate_based_quality.append(abs((abs(qaoa_values[i]-bruteforce_value))))\n",
        "\n",
        "gate_based_quality\n",
        "\n",
        "df[('Brute Force Solution','Quality')] = [0]*len(bruteforce_values)\n",
        "df[('Qiskit QAOA','Quality')] = gate_based_quality"
      ],
      "metadata": {
        "id": "8B8o1gMUVJhT"
      },
      "execution_count": 202,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#folder = os.path.join('/content/drive/MyDrive/Saarland/QAI/gate_based_GCS/QAOA_results', str(123))\n",
        "\n",
        "folder = os.path.join('QAOA_results', str(123))\n",
        "out_folder= 'Optimal Split Plots'\n",
        "df=df\n",
        "save=True\n",
        "font=14\n",
        "labels = [['Brute Force Solution', 'Min-cut brute force solver(Classical)'], ['Qiskit QAOA', 'QAOA (for p=1)']]\n",
        "\n",
        "\n",
        "fig, ax = plt.subplots(1, 2, sharey=True, figsize=(16,6))\n",
        "fig.set_tight_layout(True)\n",
        "ax[0].set_ylim(-.1, 1.1)\n",
        "ax[0].set_ylabel(r\"Approximation Error\", fontsize=font+8)\n",
        "plt.setp(ax, xticks=np.arange(0, 27, 3))\n",
        "\n",
        "\n",
        "current_folder = os.path.join(folder, out_folder )\n",
        "create_dir(current_folder)\n",
        "\n",
        "i=0\n",
        "\n",
        "for distr in df.Distribution.unique():\n",
        "    print(distr)\n",
        "    data = df[df.Distribution == distr]\n",
        "\n",
        "    n = np.array(list(map(int,data['No. of Agents'])))\n",
        "\n",
        "    x = data['No. of Agents'].to_numpy()\n",
        "\n",
        "    y_classical = data[(labels[0][0], 'Quality')].astype(float).to_numpy()\n",
        "\n",
        "    y_QAOA = data[(labels[1][0], 'Quality')].astype(float).to_numpy()\n",
        "\n",
        "\n",
        "    ax[i].scatter(x, y_classical, label=\"Classical\")\n",
        "    ax[i].plot(x, y_classical)\n",
        "\n",
        "    ax[i].scatter(x, y_QAOA, label=\"QAOA (p=1)\")\n",
        "    ax[i].plot(x, y_QAOA)\n",
        "    ax[i].tick_params(axis=\"both\", labelsize=font+4)\n",
        "\n",
        "    ax[i].set_xlabel(r'No. of Agents ',fontdict={'fontsize':font+4})\n",
        "\n",
        "    ax[i].grid(alpha=.5)\n",
        "    ax[i].set_title(distr.title(), fontdict={'fontsize':font+6})\n",
        "    ax[i].legend(fontsize=font+6)\n",
        "    i+=1\n",
        "\n",
        "file = os.path.join(current_folder, simulator+'_quality.png')\n",
        "if save:\n",
        "    print()\n",
        "    plt.savefig(file, dpi=300, bbox_inches = \"tight\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 493
        },
        "id": "6kUWTARjZp62",
        "outputId": "1f39b086-6108-4e61-8e65-6af9d6c224a0"
      },
      "execution_count": 204,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "laplace\n",
            "normal\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x432 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "i62a9G5KjELY"
      },
      "execution_count": 78,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "XNnVH8_Yz1rf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ksRbMwi2z1pN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "WUeez_Xmz1ma"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Testing for probabilities of QAOA output"
      ],
      "metadata": {
        "id": "N7tJgGUA2m9W"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def solve_qiskit_QAOA(n_agents, induced_subgraph_game, reps = 1, simulator = \"aer_simulator_statevector\", shots=1000, seed_simulator=123, seed_transpiler=123):\n",
        "  backend=Aer.get_backend(simulator)\n",
        "  qins = QuantumInstance(backend=backend, shots=shots, seed_simulator=seed_simulator, seed_transpiler=seed_transpiler)\n",
        "  G=nx.Graph()\n",
        "  G.add_nodes_from(np.arange(0,n_agents,1))\n",
        "  elist = [tuple((int(x)-1 for x in key.split(',')))+tuple([induced_subgraph_game[key]*-1]) for key in induced_subgraph_game]\n",
        "  G.add_weighted_edges_from(elist)\n",
        "  w = [[G.get_edge_data(i,j,default = {'weight': 0})['weight']  for j in range(n_agents)] for i in range(n_agents)]\n",
        "  w = np.array([np.array(row) for row in w])\n",
        "  max_cut = Maxcut(w)\n",
        "  qp = max_cut.to_quadratic_program()\n",
        "  qubitOp, offset = qp.to_ising()\n",
        "  algorithm_globals.random_seed = seed\n",
        "  heuristic = MinimumEigenOptimizer(min_eigen_solver=QAOA(reps=reps, quantum_instance=qins))\n",
        "  result = heuristic.solve(qp)\n",
        "  #print(f\"The optimal value found by {result.x}\")\n",
        "  #print(f\"the optimal function value {result.fval}\")\n",
        "  #print(f\"The result obtained from the underlying algorithm {result.min_eigen_solver_result}\")\n",
        "  #print(f\"The x values, the objective function value of the original problem, the probability, and the status of sampling {result.samples}\")\n",
        "  #print(f\"The termination status of the optimization algorithm {result.status}\")\n",
        "  #print(f\"The x values of the QUBO, the objective function value of the QUBO, and the probability of sampling {result.raw_samples}\")\n",
        "  return result.x, -result.fval, result.samples"
      ],
      "metadata": {
        "id": "7P-E1ImRlluE"
      },
      "execution_count": 184,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "simulator = 'aer_simulator'\n",
        "seed = 123\n",
        "np.random.seed(seed=seed)\n",
        "reps = 1\n",
        "n=6\n",
        "distribution = laplace\n",
        "induced_subgraph_game = generate_induced_subgraph_game(distribution,n)\n",
        "\n",
        "qiskit_qaoa_solution, qiskit_qaoa_value, samples = solve_qiskit_QAOA(n, induced_subgraph_game, reps = reps, simulator = simulator)\n",
        "qiskit_qaoa_solution, qiskit_qaoa_value, samples"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b71QX__pllrX",
        "outputId": "85716215-982d-49d1-f2b6-6dc94cab870f"
      },
      "execution_count": 195,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([1., 1., 0., 1., 1., 0.]),\n",
              " -15.790000000000003,\n",
              " [SolutionSample(x=array([1., 1., 0., 1., 1., 0.]), fval=15.790000000000003, probability=0.008, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 1., 0., 0., 1.]), fval=15.79, probability=0.012, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 0., 1., 0., 0.]), fval=12.670000000000002, probability=0.003999999999999999, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 1., 0., 1., 1.]), fval=12.670000000000002, probability=0.011000000000000001, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 0., 0., 0., 1.]), fval=12.600000000000001, probability=0.010000000000000002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 1., 1., 1., 0.]), fval=12.6, probability=0.015999999999999997, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 1., 1., 0., 0.]), fval=12.23, probability=0.023000000000000003, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 0., 0., 1., 1.]), fval=12.23, probability=0.028, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 0., 1., 0., 0.]), fval=10.580000000000002, probability=0.002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 1., 0., 1., 1.]), fval=10.58, probability=0.003999999999999999, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 1., 1., 1., 0.]), fval=6.010000000000003, probability=0.015, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 0., 0., 0., 1.]), fval=6.010000000000001, probability=0.007, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 1., 1., 0., 0.]), fval=4.560000000000002, probability=0.029000000000000005, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 0., 0., 1., 1.]), fval=4.5600000000000005, probability=0.02, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 0., 1., 1., 1.]), fval=3.6600000000000037, probability=0.005, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 1., 0., 0., 0.]), fval=3.6599999999999997, probability=0.003999999999999999, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 1., 1., 0., 1.]), fval=2.7200000000000006, probability=0.011000000000000001, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 0., 0., 1., 0.]), fval=2.7199999999999998, probability=0.020999999999999998, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 1., 1., 0., 0.]), fval=1.3900000000000015, probability=0.009, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 0., 0., 1., 1.]), fval=1.3900000000000006, probability=0.011000000000000001, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 1., 1., 0., 1.]), fval=0.8300000000000018, probability=0.026000000000000002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 0., 0., 1., 0.]), fval=0.8299999999999997, probability=0.017000000000000005, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 0., 0., 0., 0.]), fval=0.81, probability=0.003999999999999999, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 1., 1., 1., 1.]), fval=0.8099999999999987, probability=0.002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 0., 1., 0., 1.]), fval=0.7300000000000022, probability=0.082, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 1., 0., 1., 0.]), fval=0.7299999999999995, probability=0.06600000000000002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 0., 1., 0., 0.]), fval=0.1700000000000017, probability=0.012999999999999998, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 1., 0., 1., 1.]), fval=0.1700000000000017, probability=0.023000000000000003, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 1., 1., 1., 1.]), fval=1.7763568394002505e-15, probability=0.005, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 0., 0., 0., 0.]), fval=0.0, probability=0.003999999999999999, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 1., 0., 0., 1.]), fval=-0.3199999999999985, probability=0.0009999999999999998, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 1., 0., 0., 0.]), fval=-1.1100000000000003, probability=0.008, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 0., 1., 1., 1.]), fval=-1.110000000000003, probability=0.011000000000000001, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 0., 0., 0., 1.]), fval=-2.8599999999999977, probability=0.018000000000000002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 1., 1., 1., 0.]), fval=-2.8599999999999985, probability=0.026000000000000002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 0., 1., 0., 1.]), fval=-2.9599999999999973, probability=0.038, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 1., 0., 1., 0.]), fval=-2.96, probability=0.025, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 1., 0., 0., 1.]), fval=-6.3299999999999965, probability=0.015999999999999997, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 0., 1., 1., 0.]), fval=-6.329999999999999, probability=0.009, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 1., 0., 1., 1.]), fval=-6.919999999999997, probability=0.018000000000000002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 0., 1., 0., 0.]), fval=-6.919999999999998, probability=0.012, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 1., 1., 0., 1.]), fval=-7.74, probability=0.023000000000000003, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 0., 0., 1., 0.]), fval=-7.740000000000002, probability=0.017000000000000005, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 1., 1., 0., 0.]), fval=-11.279999999999998, probability=0.026000000000000002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 0., 0., 1., 1.]), fval=-11.279999999999998, probability=0.017000000000000005, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 1., 1., 1., 1.]), fval=-14.27, probability=0.0009999999999999998, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 0., 0., 0., 1.]), fval=-14.449999999999998, probability=0.012999999999999998, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 1., 1., 1., 0.]), fval=-14.45, probability=0.015, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 0., 0., 1., 0.]), fval=-14.629999999999999, probability=0.022, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 1., 1., 0., 1.]), fval=-14.629999999999999, probability=0.020999999999999998, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 1., 0., 1., 0.]), fval=-15.079999999999998, probability=0.023000000000000003, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 0., 1., 0., 1.]), fval=-15.079999999999998, probability=0.023000000000000003, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 1., 0., 1., 0.]), fval=-16.389999999999997, probability=0.038, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 0., 1., 0., 1.]), fval=-16.39, probability=0.044000000000000004, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 1., 1., 0., 0., 0.]), fval=-17.85, probability=0.018000000000000002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 0., 0., 1., 1., 1.]), fval=-17.85, probability=0.018000000000000002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 1., 0., 0., 0.]), fval=-18.08, probability=0.002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([0., 1., 0., 0., 0., 0.]), fval=-20.08, probability=0.002, status=<OptimizationResultStatus.SUCCESS: 0>),\n",
              "  SolutionSample(x=array([1., 0., 1., 1., 1., 1.]), fval=-20.08, probability=0.003, status=<OptimizationResultStatus.SUCCESS: 0>)])"
            ]
          },
          "metadata": {},
          "execution_count": 195
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bruteforce_solution, bruteforce_value = solve_brute_force(n, induced_subgraph_game)\n",
        "bruteforce_solution, bruteforce_value"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1JXfK-wallou",
        "outputId": "81da5d66-3e9a-49c5-be55-a38acaa20666"
      },
      "execution_count": 196,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([0, 1, 0, 1, 1, 0]), -16.8)"
            ]
          },
          "metadata": {},
          "execution_count": 196
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "highest_probability = 0\n",
        "highest_probability_solution, highest_probability_value = 0,0\n",
        "for sample in samples:\n",
        "  if sample.probability>highest_probability:\n",
        "    highest_probability = sample.probability\n",
        "    highest_probability_solution, highest_probability_value = sample.x, sample.fval\n",
        "\n",
        "print(f\"highest_probability\",highest_probability)\n",
        "print(f\"highest_probability_solution, highest_probability_value\",highest_probability_solution, highest_probability_value)\n",
        "\n",
        "\n",
        "best_value = 0\n",
        "best_value_solution, best_value_value = 0,0\n",
        "for sample in samples:\n",
        "  if sample.fval>best_value:\n",
        "    best_value = sample.fval\n",
        "    best_value_probability = sample.probability\n",
        "    best_value_solution, best_value_value = sample.x, sample.fval\n",
        "\n",
        "print(f\"best_value_probability\",best_value_probability)\n",
        "print(f\"best_value_solution, best_value_value\",best_value_solution, best_value_value)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yBgUAzUHllmR",
        "outputId": "10a7b794-ca7a-41a1-ae7f-4ca723641565"
      },
      "execution_count": 197,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "highest_probability 0.082\n",
            "highest_probability_solution, highest_probability_value [1. 1. 0. 1. 0. 1.] 0.7300000000000022\n",
            "best_value_probability 0.008\n",
            "best_value_solution, best_value_value [1. 1. 0. 1. 1. 0.] 15.790000000000003\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bruteforce_solution_probability = np.NaN\n",
        "bruteforce_solution_solution, bruteforce_solution_value = np.NaN, np.NaN\n",
        "\n",
        "for sample in samples:\n",
        "  print(sample.x, bruteforce_solution, (sample.x == bruteforce_solution).all())\n",
        "  if (sample.x == bruteforce_solution).all():\n",
        "    bruteforce_solution_probability = sample.probability\n",
        "    bruteforce_solution_solution, bruteforce_solution_value = sample.x, sample.fval\n",
        "\n",
        "print(f\"bruteforce_solution_probability\",bruteforce_solution_probability)\n",
        "print(f\"bruteforce_solution_solution, bruteforce_value_value\",bruteforce_solution_solution, bruteforce_solution_value)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sqcvETWTllj6",
        "outputId": "45b465e5-4b3e-4ff4-8b04-4c544b3bd606"
      },
      "execution_count": 198,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1. 1. 0. 1. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 0. 1. 0. 0. 1.] [0 1 0 1 1 0] False\n",
            "[0. 1. 0. 1. 0. 0.] [0 1 0 1 1 0] False\n",
            "[1. 0. 1. 0. 1. 1.] [0 1 0 1 1 0] False\n",
            "[1. 0. 0. 0. 0. 1.] [0 1 0 1 1 0] False\n",
            "[0. 1. 1. 1. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 1. 1. 0. 0.] [0 1 0 1 1 0] False\n",
            "[1. 0. 0. 0. 1. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 0. 1. 0. 0.] [0 1 0 1 1 0] False\n",
            "[0. 0. 1. 0. 1. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 1. 1. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 0. 0. 0. 0. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 1. 1. 0. 0.] [0 1 0 1 1 0] False\n",
            "[0. 0. 0. 0. 1. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 0. 1. 1. 1.] [0 1 0 1 1 0] False\n",
            "[0. 0. 1. 0. 0. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 1. 1. 0. 1.] [0 1 0 1 1 0] False\n",
            "[1. 0. 0. 0. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 0. 1. 1. 0. 0.] [0 1 0 1 1 0] False\n",
            "[1. 1. 0. 0. 1. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 1. 1. 0. 1.] [0 1 0 1 1 0] False\n",
            "[0. 0. 0. 0. 1. 0.] [0 1 0 1 1 0] False\n",
            "[1. 0. 0. 0. 0. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 1. 1. 1. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 0. 1. 0. 1.] [0 1 0 1 1 0] False\n",
            "[0. 0. 1. 0. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 0. 0. 1. 0. 0.] [0 1 0 1 1 0] False\n",
            "[1. 1. 1. 0. 1. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 1. 1. 1. 1.] [0 1 0 1 1 0] False\n",
            "[0. 0. 0. 0. 0. 0.] [0 1 0 1 1 0] False\n",
            "[1. 1. 1. 0. 0. 1.] [0 1 0 1 1 0] False\n",
            "[1. 0. 1. 0. 0. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 0. 1. 1. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 0. 0. 0. 1.] [0 1 0 1 1 0] False\n",
            "[0. 0. 1. 1. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 0. 1. 0. 1.] [0 1 0 1 1 0] False\n",
            "[1. 0. 1. 0. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 1. 0. 0. 1.] [0 1 0 1 1 0] False\n",
            "[1. 0. 0. 1. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 1. 0. 1. 1.] [0 1 0 1 1 0] False\n",
            "[1. 0. 0. 1. 0. 0.] [0 1 0 1 1 0] False\n",
            "[0. 0. 1. 1. 0. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 0. 0. 1. 0.] [0 1 0 1 1 0] False\n",
            "[1. 0. 1. 1. 0. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 0. 0. 1. 1.] [0 1 0 1 1 0] False\n",
            "[0. 0. 1. 1. 1. 1.] [0 1 0 1 1 0] False\n",
            "[0. 1. 0. 0. 0. 1.] [0 1 0 1 1 0] False\n",
            "[1. 0. 1. 1. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 0. 0. 1. 0.] [0 1 0 1 1 0] False\n",
            "[1. 0. 1. 1. 0. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 1. 0. 1. 0.] [0 1 0 1 1 0] False\n",
            "[0. 0. 0. 1. 0. 1.] [0 1 0 1 1 0] False\n",
            "[0. 1. 1. 0. 1. 0.] [0 1 0 1 1 0] False\n",
            "[1. 0. 0. 1. 0. 1.] [0 1 0 1 1 0] False\n",
            "[1. 1. 1. 0. 0. 0.] [0 1 0 1 1 0] False\n",
            "[0. 0. 0. 1. 1. 1.] [0 1 0 1 1 0] False\n",
            "[0. 1. 1. 0. 0. 0.] [0 1 0 1 1 0] False\n",
            "[0. 1. 0. 0. 0. 0.] [0 1 0 1 1 0] False\n",
            "[1. 0. 1. 1. 1. 1.] [0 1 0 1 1 0] False\n",
            "bruteforce_solution_probability nan\n",
            "bruteforce_solution_solution, bruteforce_value_value nan nan\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(samples)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CEMJ9dzVllgz",
        "outputId": "ee15d828-cf30-4805-cc13-cc2fcb7a82cd"
      },
      "execution_count": 199,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "59"
            ]
          },
          "metadata": {},
          "execution_count": 199
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "tq9eB_4B4TzB"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
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