reinforcement_learning_n_n_grid.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNnIFGze+RA+fa3bhs9t8sj",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Arminsbss/Reinforcement-learning-N-N-grid/blob/main/reinforcement_learning_n_n_grid.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Rewards**\n",
        "\n"
      ],
      "metadata": {
        "id": "HxX70hywL714"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "66Hlp9MwScFc"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "\n",
        "Grid = pd.read_excel('Grid.xlsx',header=None)\n",
        "Grid = Grid.values\n",
        "# Grid[End_State_indexes[0]][End_State_indexes[1]]*=100"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Environment**"
      ],
      "metadata": {
        "id": "octGd1bQKlTT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "environment_rows = 30\n",
        "environment_columns = 30"
      ],
      "metadata": {
        "id": "GiBuJVlKgfgF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**States**"
      ],
      "metadata": {
        "id": "y5djAu-igc5J"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Start_State_indexes=[29,0]\n",
        "End_State_indexes=[0,29]\n",
        "Grid[End_State_indexes[0]][End_State_indexes[1]]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nDEHxXhfKuSS",
        "outputId": "8390c44b-586a-4111-9f36-586b94ada4af"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "25"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Actions**"
      ],
      "metadata": {
        "id": "8RMcUb4dKwTT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# The function below returns True if the indices are within the range of the array, and False otherwise.\n",
        "def is_valid_cell(get_cell,row,column):\n",
        "    num_rows = len(get_cell)\n",
        "    num_columns = len(get_cell[0]) if num_rows > 0 else 0\n",
        "    return 0 <= row < num_rows and 0 <= column < num_columns\n",
        "\n",
        "def Right_Action(get_cell,row,column):\n",
        "  if is_valid_cell(get_cell,row,column):\n",
        "    return get_cell[row,column+1]\n",
        "  else:\n",
        "    return \"NA\"\n",
        "\n",
        "def Up_Action(get_cell,row,column):\n",
        "  if is_valid_cell(get_cell,row,column):\n",
        "    return get_cell[row-1,column]\n",
        "  else:\n",
        "    return \"NA\""
      ],
      "metadata": {
        "id": "ZzuEiilPKzIq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "actions= ['up', 'right', 'down', 'left']"
      ],
      "metadata": {
        "id": "f7G5TCNjgzXl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "State=Grid[Start_State_indexes[0]][Start_State_indexes[1]]\n",
        "print(State)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TVoW7n-S6jzL",
        "outputId": "1b189614-4522-4755-fca9-69c5c63bc20d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "-10\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "if is_valid_cell(Grid,Start_State_indexes[0],Start_State_indexes[1]):\n",
        "  print(\"T\")\n",
        "else:\n",
        "  print(\"F\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v3laFlhcIYic",
        "outputId": "142ce17f-ee0d-41ee-b72d-0a45848a1691"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "T\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Q-Values**\n",
        "Q(s, a) = (1 − α) Q(s, a) + α(R(s) + γ (max[Q(s′, a′)]))"
      ],
      "metadata": {
        "id": "BtPh-nI9LBd7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def Q_Value(State,Action,Q_Current,Learning_rate,immediate_reward,discount_factor):\n",
        "  return (1-Learning_rate)*Q_Current+Learning_rate*(immediate_reward(State)+discount_factor*(max(Q(s+1,a))))"
      ],
      "metadata": {
        "id": "WV79943WNTw0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "q_values= np.zeros((environment_rows, environment_columns, 4))"
      ],
      "metadata": {
        "id": "nG90ldG2gPXA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DnCfO5tVG0LJ"
      },
      "source": [
        "#define a function that determines if the specified location is a terminal state\n",
        "\n",
        "\n",
        "#define a function that will choose a random, non-terminal starting location\n",
        "def get_starting_location():\n",
        "  #get a random row and column index\n",
        "  current_row_index = np.random.randint(environment_rows) #Start_State_indexes[0]\n",
        "  current_column_index = np.random.randint(environment_columns) #Start_State_indexes[1]\n",
        "  #continue choosing random row and column indexes until a non-terminal state is identified\n",
        "  #(i.e., until the chosen state is a 'white square').\n",
        "  return current_row_index, current_column_index\n",
        "\n",
        "#define an epsilon greedy algorithm that will choose which action to take next (i.e., where to move next)\n",
        "def get_next_action(current_row_index, current_column_index, epsilon):\n",
        "  #if a randomly chosen value between 0 and 1 is less than epsilon,\n",
        "  #then choose the most promising value from the Q-table for this state.\n",
        "  if np.random.random() < epsilon:\n",
        "    return np.argmax(q_values[current_row_index, current_column_index])\n",
        "  else: #choose a random action\n",
        "    return 1\n",
        "\n",
        "#define a function that will get the next location based on the chosen action\n",
        "def get_next_location(current_row_index, current_column_index, action_index):\n",
        "  new_row_index = current_row_index\n",
        "  new_column_index = current_column_index\n",
        "  if actions[action_index] == 'up' and current_row_index > 0:\n",
        "    new_row_index -= 1\n",
        "  elif actions[action_index] == 'right' and current_column_index < environment_columns - 1:\n",
        "    new_column_index += 1\n",
        "  elif actions[action_index] == 'down' and current_row_index < environment_rows - 1:\n",
        "    new_row_index += 1\n",
        "  elif actions[action_index] == 'left' and current_column_index > 0:\n",
        "    new_column_index -= 1\n",
        "  return new_row_index, new_column_index\n",
        "\n",
        "#Define a function that will get the shortest path between any location within the warehouse that\n",
        "#the robot is allowed to travel and the item packaging location.\n",
        "def get_shortest_path(start_row_index, start_column_index):\n",
        "#if this is a 'legal' starting location\n",
        "  current_row_index, current_column_index = start_row_index, start_column_index\n",
        "  shortest_path = []\n",
        "  shortest_path.append([current_row_index, current_column_index])\n",
        "  #continue moving along the path until we reach the goal (i.e., the item packaging location)\n",
        "  move=0\n",
        "  while move<100:#current_row_index=! 0 && current_column_index=! 29:\n",
        "    #get the best action to take\n",
        "    action_index = get_next_action(current_row_index, current_column_index, epsilon)\n",
        "    #move to the next location on the path, and add the new location to the list\n",
        "    current_row_index, current_column_index = get_next_location(current_row_index, current_column_index, action_index)\n",
        "    shortest_path.append([current_row_index, current_column_index])\n",
        "    move+=1\n",
        "    if shortest_path[-1][0]==0:\n",
        "      while shortest_path[-1][1]!=29:\n",
        "        current_row_index, current_column_index = get_next_location(current_row_index, current_column_index, 1)\n",
        "        shortest_path.append([current_row_index, current_column_index])\n",
        "      return shortest_path\n",
        "    if shortest_path[-1][1]==29:\n",
        "      while shortest_path[-1][0]!=0:\n",
        "        current_row_index, current_column_index = get_next_location(current_row_index, current_column_index, 0)\n",
        "        shortest_path.append([current_row_index, current_column_index])\n",
        "      return shortest_path\n",
        "  return shortest_path"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Main**\n",
        "\n"
      ],
      "metadata": {
        "id": "VmsdANsbg_mj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "LR=int(input(\"please enter Learning_rate: \"))"
      ],
      "metadata": {
        "id": "xcaWQM5TM_bH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ymQ3PrRPjO36"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3N5BB0m0JHIn",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e840b338-4171-4efe-dbaf-9f73fc672890"
      },
      "source": [
        "#define training parameters\n",
        "epsilon = 0.7 #the percentage of time when we should take the best action (instead of a random action)\n",
        "discount_factor = 0.5 #discount factor for future rewards\n",
        "learning_rate = 0.2 #the rate at which the AI agent should learn\n",
        "\n",
        "#run through 10000 training episodes\n",
        "for episode in range(10000):\n",
        "  #get the starting location for this episode\n",
        "  row_index, column_index = get_starting_location()\n",
        "\n",
        "  #continue taking actions (i.e., moving) until we reach a terminal state\n",
        "  #(i.e., until we reach the item packaging area or crash into an item storage location)\n",
        "\n",
        "  #choose which action to take (i.e., where to move next)\n",
        "  action_index = get_next_action(row_index, column_index, epsilon)\n",
        "\n",
        "  #perform the chosen action, and transition to the next state (i.e., move to the next location)\n",
        "  old_row_index, old_column_index = row_index, column_index #store the old row and column indexes\n",
        "  row_index, column_index = get_next_location(row_index, column_index, action_index)\n",
        "\n",
        "  #receive the reward for moving to the new state, and calculate the temporal difference\n",
        "  reward = Grid[row_index, column_index]\n",
        "  old_q_value = q_values[old_row_index, old_column_index, action_index]\n",
        "  temporal_difference = reward + (discount_factor * np.max(q_values[row_index, column_index])) - old_q_value\n",
        "\n",
        "  #update the Q-value for the previous state and action pair\n",
        "  new_q_value = (1-learning_rate)*old_q_value + (learning_rate * temporal_difference)\n",
        "  q_values[old_row_index, old_column_index, action_index] = new_q_value\n",
        "\n",
        "print('Training complete!')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training complete!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "def plot_it(coordinates):\n",
        "  x_coords, y_coords = zip(*coordinates)\n",
        "\n",
        "  # Create a new figure\n",
        "  plt.figure()\n",
        "\n",
        "  # Plot the path\n",
        "  plt.plot(x_coords, y_coords, marker='o', linestyle='-')\n",
        "\n",
        "  # Add labels and title\n",
        "  plt.xlabel('X-coordinate')\n",
        "  plt.ylabel('Y-coordinate')\n",
        "  plt.title('Path Visualization')\n",
        "\n",
        "  # Show the plot\n",
        "  plt.show()"
      ],
      "metadata": {
        "id": "lHFirXdjZ-Ch"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F1YO3mj_oS2J",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "49c03620-ed85-446c-c2b6-7e6c62b22bb5"
      },
      "source": [
        "#display a few shortest paths\n",
        "coordinates=get_shortest_path(29, 0)\n",
        "plot_it(coordinates)\n",
        "print(coordinates)\n",
        "coordinates=get_shortest_path(5, 13)\n",
        "plot_it(coordinates)\n",
        "print(coordinates)\n",
        "coordinates=get_shortest_path(9, 7)\n",
        "plot_it(coordinates)\n",
        "print(coordinates)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[29, 0], [29, 1], [28, 1], [28, 2], [27, 2], [26, 2], [26, 3], [26, 4], [26, 5], [26, 6], [26, 7], [26, 8], [26, 9], [27, 9], [27, 10], [27, 11], [27, 12], [27, 13], [28, 13], [28, 14], [28, 15], [28, 16], [28, 15], [29, 15], [29, 16], [29, 17], [29, 18], [29, 19], [29, 20], [29, 21], [29, 22], [29, 23], [28, 23], [28, 24], [27, 24], [27, 25], [27, 26], [27, 27], [26, 27], [26, 28], [25, 28], [25, 29], [24, 29], [23, 29], [22, 29], [21, 29], [20, 29], [19, 29], [18, 29], [17, 29], [16, 29], [15, 29], [14, 29], [13, 29], [12, 29], [11, 29], [10, 29], [9, 29], [8, 29], [7, 29], [6, 29], [5, 29], [4, 29], [3, 29], [2, 29], [1, 29], [0, 29]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[5, 13], [4, 13], [4, 14], [3, 14], [3, 15], [3, 16], [3, 17], [3, 16], [3, 17], [3, 18], [3, 17], [3, 16], [3, 17], [3, 16], [3, 17], [3, 18], [3, 17], [3, 18], [3, 17], [3, 16], [3, 17], [3, 16], [3, 17], [3, 18], [3, 19], [3, 20], [3, 21], [3, 22], [3, 23], [2, 23], [2, 24], [2, 25], [1, 25], [1, 26], [1, 27], [1, 28], [0, 28], [0, 29]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[9, 7], [9, 8], [8, 8], [8, 9], [7, 9], [7, 10], [7, 11], [6, 11], [5, 11], [4, 11], [3, 11], [2, 11], [2, 12], [2, 11], [2, 12], [2, 11], [2, 12], [2, 11], [2, 12], [2, 11], [2, 12], [2, 11], [2, 12], [2, 13], [2, 14], [3, 14], [3, 15], [3, 16], [3, 17], [3, 18], [3, 19], [3, 20], [3, 21], [3, 22], [3, 23], [3, 24], [2, 24], [2, 25], [2, 26], [2, 27], [2, 28], [2, 29], [1, 29], [0, 29]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Create a DataFrame from the 2D array\n",
        "df = pd.DataFrame(Grid)\n",
        "\n",
        "# Define a function to highlight the cell containing the number 7\n",
        "def highlight_seven(cell):\n",
        "    if cell == 7:\n",
        "        return 'background-color: yellow'\n",
        "    else:\n",
        "        return ''\n",
        "\n",
        "# Apply the function to the DataFrame\n",
        "df = df.style.applymap(highlight_seven)\n",
        "\n",
        "# Display the DataFrame\n",
        "df\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 989
        },
        "id": "DF-ou6apU8Tu",
        "outputId": "29d0cd85-871d-494d-b013-a1177b34074a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7e248d88c1c0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_8c26d_row0_col28, #T_8c26d_row1_col3, #T_8c26d_row1_col23, #T_8c26d_row2_col8, #T_8c26d_row3_col3, #T_8c26d_row3_col23, #T_8c26d_row5_col11, #T_8c26d_row6_col5, #T_8c26d_row7_col1, #T_8c26d_row8_col15, #T_8c26d_row8_col26, #T_8c26d_row9_col19, #T_8c26d_row10_col13, #T_8c26d_row11_col4, #T_8c26d_row12_col1, #T_8c26d_row12_col23, #T_8c26d_row14_col11, #T_8c26d_row15_col5, #T_8c26d_row15_col12, #T_8c26d_row15_col21, #T_8c26d_row15_col25, #T_8c26d_row17_col9, #T_8c26d_row18_col14, #T_8c26d_row19_col2, #T_8c26d_row19_col27, #T_8c26d_row20_col4, #T_8c26d_row20_col7, #T_8c26d_row20_col15, #T_8c26d_row21_col12, #T_8c26d_row21_col21, #T_8c26d_row22_col10, #T_8c26d_row25_col22, #T_8c26d_row25_col27, #T_8c26d_row26_col7, #T_8c26d_row27_col29, #T_8c26d_row29_col20, #T_8c26d_row29_col23 {\n",
              "  background-color: yellow;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_8c26d\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_8c26d_level0_col0\" class=\"col_heading level0 col0\" >0</th>\n",
              "      <th id=\"T_8c26d_level0_col1\" class=\"col_heading level0 col1\" >1</th>\n",
              "      <th id=\"T_8c26d_level0_col2\" class=\"col_heading level0 col2\" >2</th>\n",
              "      <th id=\"T_8c26d_level0_col3\" class=\"col_heading level0 col3\" >3</th>\n",
              "      <th id=\"T_8c26d_level0_col4\" class=\"col_heading level0 col4\" >4</th>\n",
              "      <th id=\"T_8c26d_level0_col5\" class=\"col_heading level0 col5\" >5</th>\n",
              "      <th id=\"T_8c26d_level0_col6\" class=\"col_heading level0 col6\" >6</th>\n",
              "      <th id=\"T_8c26d_level0_col7\" class=\"col_heading level0 col7\" >7</th>\n",
              "      <th id=\"T_8c26d_level0_col8\" class=\"col_heading level0 col8\" >8</th>\n",
              "      <th id=\"T_8c26d_level0_col9\" class=\"col_heading level0 col9\" >9</th>\n",
              "      <th id=\"T_8c26d_level0_col10\" class=\"col_heading level0 col10\" >10</th>\n",
              "      <th id=\"T_8c26d_level0_col11\" class=\"col_heading level0 col11\" >11</th>\n",
              "      <th id=\"T_8c26d_level0_col12\" class=\"col_heading level0 col12\" >12</th>\n",
              "      <th id=\"T_8c26d_level0_col13\" class=\"col_heading level0 col13\" >13</th>\n",
              "      <th id=\"T_8c26d_level0_col14\" class=\"col_heading level0 col14\" >14</th>\n",
              "      <th id=\"T_8c26d_level0_col15\" class=\"col_heading level0 col15\" >15</th>\n",
              "      <th id=\"T_8c26d_level0_col16\" class=\"col_heading level0 col16\" >16</th>\n",
              "      <th id=\"T_8c26d_level0_col17\" class=\"col_heading level0 col17\" >17</th>\n",
              "      <th id=\"T_8c26d_level0_col18\" class=\"col_heading level0 col18\" >18</th>\n",
              "      <th id=\"T_8c26d_level0_col19\" class=\"col_heading level0 col19\" >19</th>\n",
              "      <th id=\"T_8c26d_level0_col20\" class=\"col_heading level0 col20\" >20</th>\n",
              "      <th id=\"T_8c26d_level0_col21\" class=\"col_heading level0 col21\" >21</th>\n",
              "      <th id=\"T_8c26d_level0_col22\" class=\"col_heading level0 col22\" >22</th>\n",
              "      <th id=\"T_8c26d_level0_col23\" class=\"col_heading level0 col23\" >23</th>\n",
              "      <th id=\"T_8c26d_level0_col24\" class=\"col_heading level0 col24\" >24</th>\n",
              "      <th id=\"T_8c26d_level0_col25\" class=\"col_heading level0 col25\" >25</th>\n",
              "      <th id=\"T_8c26d_level0_col26\" class=\"col_heading level0 col26\" >26</th>\n",
              "      <th id=\"T_8c26d_level0_col27\" class=\"col_heading level0 col27\" >27</th>\n",
              "      <th id=\"T_8c26d_level0_col28\" class=\"col_heading level0 col28\" >28</th>\n",
              "      <th id=\"T_8c26d_level0_col29\" class=\"col_heading level0 col29\" >29</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "      <td id=\"T_8c26d_row0_col0\" class=\"data row0 col0\" >-5</td>\n",
              "      <td id=\"T_8c26d_row0_col1\" class=\"data row0 col1\" >-4</td>\n",
              "      <td id=\"T_8c26d_row0_col2\" class=\"data row0 col2\" >6</td>\n",
              "      <td id=\"T_8c26d_row0_col3\" class=\"data row0 col3\" >0</td>\n",
              "      <td id=\"T_8c26d_row0_col4\" class=\"data row0 col4\" >14</td>\n",
              "      <td id=\"T_8c26d_row0_col5\" class=\"data row0 col5\" >-4</td>\n",
              "      <td id=\"T_8c26d_row0_col6\" class=\"data row0 col6\" >-2</td>\n",
              "      <td id=\"T_8c26d_row0_col7\" class=\"data row0 col7\" >6</td>\n",
              "      <td id=\"T_8c26d_row0_col8\" class=\"data row0 col8\" >14</td>\n",
              "      <td id=\"T_8c26d_row0_col9\" class=\"data row0 col9\" >2</td>\n",
              "      <td id=\"T_8c26d_row0_col10\" class=\"data row0 col10\" >12</td>\n",
              "      <td id=\"T_8c26d_row0_col11\" class=\"data row0 col11\" >6</td>\n",
              "      <td id=\"T_8c26d_row0_col12\" class=\"data row0 col12\" >3</td>\n",
              "      <td id=\"T_8c26d_row0_col13\" class=\"data row0 col13\" >-1</td>\n",
              "      <td id=\"T_8c26d_row0_col14\" class=\"data row0 col14\" >-10</td>\n",
              "      <td id=\"T_8c26d_row0_col15\" class=\"data row0 col15\" >-4</td>\n",
              "      <td id=\"T_8c26d_row0_col16\" class=\"data row0 col16\" >-10</td>\n",
              "      <td id=\"T_8c26d_row0_col17\" class=\"data row0 col17\" >8</td>\n",
              "      <td id=\"T_8c26d_row0_col18\" class=\"data row0 col18\" >4</td>\n",
              "      <td id=\"T_8c26d_row0_col19\" class=\"data row0 col19\" >-4</td>\n",
              "      <td id=\"T_8c26d_row0_col20\" class=\"data row0 col20\" >-5</td>\n",
              "      <td id=\"T_8c26d_row0_col21\" class=\"data row0 col21\" >-10</td>\n",
              "      <td id=\"T_8c26d_row0_col22\" class=\"data row0 col22\" >2</td>\n",
              "      <td id=\"T_8c26d_row0_col23\" class=\"data row0 col23\" >-3</td>\n",
              "      <td id=\"T_8c26d_row0_col24\" class=\"data row0 col24\" >10</td>\n",
              "      <td id=\"T_8c26d_row0_col25\" class=\"data row0 col25\" >-2</td>\n",
              "      <td id=\"T_8c26d_row0_col26\" class=\"data row0 col26\" >-8</td>\n",
              "      <td id=\"T_8c26d_row0_col27\" class=\"data row0 col27\" >-1</td>\n",
              "      <td id=\"T_8c26d_row0_col28\" class=\"data row0 col28\" >7</td>\n",
              "      <td id=\"T_8c26d_row0_col29\" class=\"data row0 col29\" >25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "      <td id=\"T_8c26d_row1_col0\" class=\"data row1 col0\" >10</td>\n",
              "      <td id=\"T_8c26d_row1_col1\" class=\"data row1 col1\" >-2</td>\n",
              "      <td id=\"T_8c26d_row1_col2\" class=\"data row1 col2\" >9</td>\n",
              "      <td id=\"T_8c26d_row1_col3\" class=\"data row1 col3\" >7</td>\n",
              "      <td id=\"T_8c26d_row1_col4\" class=\"data row1 col4\" >11</td>\n",
              "      <td id=\"T_8c26d_row1_col5\" class=\"data row1 col5\" >-3</td>\n",
              "      <td id=\"T_8c26d_row1_col6\" class=\"data row1 col6\" >11</td>\n",
              "      <td id=\"T_8c26d_row1_col7\" class=\"data row1 col7\" >14</td>\n",
              "      <td id=\"T_8c26d_row1_col8\" class=\"data row1 col8\" >5</td>\n",
              "      <td id=\"T_8c26d_row1_col9\" class=\"data row1 col9\" >12</td>\n",
              "      <td id=\"T_8c26d_row1_col10\" class=\"data row1 col10\" >-9</td>\n",
              "      <td id=\"T_8c26d_row1_col11\" class=\"data row1 col11\" >4</td>\n",
              "      <td id=\"T_8c26d_row1_col12\" class=\"data row1 col12\" >-9</td>\n",
              "      <td id=\"T_8c26d_row1_col13\" class=\"data row1 col13\" >3</td>\n",
              "      <td id=\"T_8c26d_row1_col14\" class=\"data row1 col14\" >-7</td>\n",
              "      <td id=\"T_8c26d_row1_col15\" class=\"data row1 col15\" >0</td>\n",
              "      <td id=\"T_8c26d_row1_col16\" class=\"data row1 col16\" >4</td>\n",
              "      <td id=\"T_8c26d_row1_col17\" class=\"data row1 col17\" >4</td>\n",
              "      <td id=\"T_8c26d_row1_col18\" class=\"data row1 col18\" >-2</td>\n",
              "      <td id=\"T_8c26d_row1_col19\" class=\"data row1 col19\" >8</td>\n",
              "      <td id=\"T_8c26d_row1_col20\" class=\"data row1 col20\" >-1</td>\n",
              "      <td id=\"T_8c26d_row1_col21\" class=\"data row1 col21\" >-4</td>\n",
              "      <td id=\"T_8c26d_row1_col22\" class=\"data row1 col22\" >2</td>\n",
              "      <td id=\"T_8c26d_row1_col23\" class=\"data row1 col23\" >7</td>\n",
              "      <td id=\"T_8c26d_row1_col24\" class=\"data row1 col24\" >2</td>\n",
              "      <td id=\"T_8c26d_row1_col25\" class=\"data row1 col25\" >13</td>\n",
              "      <td id=\"T_8c26d_row1_col26\" class=\"data row1 col26\" >10</td>\n",
              "      <td id=\"T_8c26d_row1_col27\" class=\"data row1 col27\" >1</td>\n",
              "      <td id=\"T_8c26d_row1_col28\" class=\"data row1 col28\" >-9</td>\n",
              "      <td id=\"T_8c26d_row1_col29\" class=\"data row1 col29\" >-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "      <td id=\"T_8c26d_row2_col0\" class=\"data row2 col0\" >4</td>\n",
              "      <td id=\"T_8c26d_row2_col1\" class=\"data row2 col1\" >-2</td>\n",
              "      <td id=\"T_8c26d_row2_col2\" class=\"data row2 col2\" >-9</td>\n",
              "      <td id=\"T_8c26d_row2_col3\" class=\"data row2 col3\" >10</td>\n",
              "      <td id=\"T_8c26d_row2_col4\" class=\"data row2 col4\" >-7</td>\n",
              "      <td id=\"T_8c26d_row2_col5\" class=\"data row2 col5\" >4</td>\n",
              "      <td id=\"T_8c26d_row2_col6\" class=\"data row2 col6\" >-6</td>\n",
              "      <td id=\"T_8c26d_row2_col7\" class=\"data row2 col7\" >14</td>\n",
              "      <td id=\"T_8c26d_row2_col8\" class=\"data row2 col8\" >7</td>\n",
              "      <td id=\"T_8c26d_row2_col9\" class=\"data row2 col9\" >3</td>\n",
              "      <td id=\"T_8c26d_row2_col10\" class=\"data row2 col10\" >-1</td>\n",
              "      <td id=\"T_8c26d_row2_col11\" class=\"data row2 col11\" >6</td>\n",
              "      <td id=\"T_8c26d_row2_col12\" class=\"data row2 col12\" >12</td>\n",
              "      <td id=\"T_8c26d_row2_col13\" class=\"data row2 col13\" >-4</td>\n",
              "      <td id=\"T_8c26d_row2_col14\" class=\"data row2 col14\" >-2</td>\n",
              "      <td id=\"T_8c26d_row2_col15\" class=\"data row2 col15\" >-3</td>\n",
              "      <td id=\"T_8c26d_row2_col16\" class=\"data row2 col16\" >-3</td>\n",
              "      <td id=\"T_8c26d_row2_col17\" class=\"data row2 col17\" >-2</td>\n",
              "      <td id=\"T_8c26d_row2_col18\" class=\"data row2 col18\" >-4</td>\n",
              "      <td id=\"T_8c26d_row2_col19\" class=\"data row2 col19\" >-4</td>\n",
              "      <td id=\"T_8c26d_row2_col20\" class=\"data row2 col20\" >-8</td>\n",
              "      <td id=\"T_8c26d_row2_col21\" class=\"data row2 col21\" >0</td>\n",
              "      <td id=\"T_8c26d_row2_col22\" class=\"data row2 col22\" >-7</td>\n",
              "      <td id=\"T_8c26d_row2_col23\" class=\"data row2 col23\" >0</td>\n",
              "      <td id=\"T_8c26d_row2_col24\" class=\"data row2 col24\" >8</td>\n",
              "      <td id=\"T_8c26d_row2_col25\" class=\"data row2 col25\" >-10</td>\n",
              "      <td id=\"T_8c26d_row2_col26\" class=\"data row2 col26\" >14</td>\n",
              "      <td id=\"T_8c26d_row2_col27\" class=\"data row2 col27\" >6</td>\n",
              "      <td id=\"T_8c26d_row2_col28\" class=\"data row2 col28\" >-1</td>\n",
              "      <td id=\"T_8c26d_row2_col29\" class=\"data row2 col29\" >3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "      <td id=\"T_8c26d_row3_col0\" class=\"data row3 col0\" >-3</td>\n",
              "      <td id=\"T_8c26d_row3_col1\" class=\"data row3 col1\" >-7</td>\n",
              "      <td id=\"T_8c26d_row3_col2\" class=\"data row3 col2\" >4</td>\n",
              "      <td id=\"T_8c26d_row3_col3\" class=\"data row3 col3\" >7</td>\n",
              "      <td id=\"T_8c26d_row3_col4\" class=\"data row3 col4\" >10</td>\n",
              "      <td id=\"T_8c26d_row3_col5\" class=\"data row3 col5\" >9</td>\n",
              "      <td id=\"T_8c26d_row3_col6\" class=\"data row3 col6\" >4</td>\n",
              "      <td id=\"T_8c26d_row3_col7\" class=\"data row3 col7\" >6</td>\n",
              "      <td id=\"T_8c26d_row3_col8\" class=\"data row3 col8\" >3</td>\n",
              "      <td id=\"T_8c26d_row3_col9\" class=\"data row3 col9\" >1</td>\n",
              "      <td id=\"T_8c26d_row3_col10\" class=\"data row3 col10\" >0</td>\n",
              "      <td id=\"T_8c26d_row3_col11\" class=\"data row3 col11\" >14</td>\n",
              "      <td id=\"T_8c26d_row3_col12\" class=\"data row3 col12\" >-3</td>\n",
              "      <td id=\"T_8c26d_row3_col13\" class=\"data row3 col13\" >10</td>\n",
              "      <td id=\"T_8c26d_row3_col14\" class=\"data row3 col14\" >3</td>\n",
              "      <td id=\"T_8c26d_row3_col15\" class=\"data row3 col15\" >8</td>\n",
              "      <td id=\"T_8c26d_row3_col16\" class=\"data row3 col16\" >8</td>\n",
              "      <td id=\"T_8c26d_row3_col17\" class=\"data row3 col17\" >4</td>\n",
              "      <td id=\"T_8c26d_row3_col18\" class=\"data row3 col18\" >-8</td>\n",
              "      <td id=\"T_8c26d_row3_col19\" class=\"data row3 col19\" >-5</td>\n",
              "      <td id=\"T_8c26d_row3_col20\" class=\"data row3 col20\" >2</td>\n",
              "      <td id=\"T_8c26d_row3_col21\" class=\"data row3 col21\" >4</td>\n",
              "      <td id=\"T_8c26d_row3_col22\" class=\"data row3 col22\" >10</td>\n",
              "      <td id=\"T_8c26d_row3_col23\" class=\"data row3 col23\" >7</td>\n",
              "      <td id=\"T_8c26d_row3_col24\" class=\"data row3 col24\" >-6</td>\n",
              "      <td id=\"T_8c26d_row3_col25\" class=\"data row3 col25\" >1</td>\n",
              "      <td id=\"T_8c26d_row3_col26\" class=\"data row3 col26\" >5</td>\n",
              "      <td id=\"T_8c26d_row3_col27\" class=\"data row3 col27\" >-8</td>\n",
              "      <td id=\"T_8c26d_row3_col28\" class=\"data row3 col28\" >5</td>\n",
              "      <td id=\"T_8c26d_row3_col29\" class=\"data row3 col29\" >10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "      <td id=\"T_8c26d_row4_col0\" class=\"data row4 col0\" >-7</td>\n",
              "      <td id=\"T_8c26d_row4_col1\" class=\"data row4 col1\" >-4</td>\n",
              "      <td id=\"T_8c26d_row4_col2\" class=\"data row4 col2\" >-7</td>\n",
              "      <td id=\"T_8c26d_row4_col3\" class=\"data row4 col3\" >6</td>\n",
              "      <td id=\"T_8c26d_row4_col4\" class=\"data row4 col4\" >6</td>\n",
              "      <td id=\"T_8c26d_row4_col5\" class=\"data row4 col5\" >-9</td>\n",
              "      <td id=\"T_8c26d_row4_col6\" class=\"data row4 col6\" >13</td>\n",
              "      <td id=\"T_8c26d_row4_col7\" class=\"data row4 col7\" >14</td>\n",
              "      <td id=\"T_8c26d_row4_col8\" class=\"data row4 col8\" >2</td>\n",
              "      <td id=\"T_8c26d_row4_col9\" class=\"data row4 col9\" >-10</td>\n",
              "      <td id=\"T_8c26d_row4_col10\" class=\"data row4 col10\" >2</td>\n",
              "      <td id=\"T_8c26d_row4_col11\" class=\"data row4 col11\" >3</td>\n",
              "      <td id=\"T_8c26d_row4_col12\" class=\"data row4 col12\" >-8</td>\n",
              "      <td id=\"T_8c26d_row4_col13\" class=\"data row4 col13\" >4</td>\n",
              "      <td id=\"T_8c26d_row4_col14\" class=\"data row4 col14\" >14</td>\n",
              "      <td id=\"T_8c26d_row4_col15\" class=\"data row4 col15\" >8</td>\n",
              "      <td id=\"T_8c26d_row4_col16\" class=\"data row4 col16\" >-2</td>\n",
              "      <td id=\"T_8c26d_row4_col17\" class=\"data row4 col17\" >-3</td>\n",
              "      <td id=\"T_8c26d_row4_col18\" class=\"data row4 col18\" >-5</td>\n",
              "      <td id=\"T_8c26d_row4_col19\" class=\"data row4 col19\" >-9</td>\n",
              "      <td id=\"T_8c26d_row4_col20\" class=\"data row4 col20\" >9</td>\n",
              "      <td id=\"T_8c26d_row4_col21\" class=\"data row4 col21\" >-1</td>\n",
              "      <td id=\"T_8c26d_row4_col22\" class=\"data row4 col22\" >9</td>\n",
              "      <td id=\"T_8c26d_row4_col23\" class=\"data row4 col23\" >4</td>\n",
              "      <td id=\"T_8c26d_row4_col24\" class=\"data row4 col24\" >14</td>\n",
              "      <td id=\"T_8c26d_row4_col25\" class=\"data row4 col25\" >-4</td>\n",
              "      <td id=\"T_8c26d_row4_col26\" class=\"data row4 col26\" >12</td>\n",
              "      <td id=\"T_8c26d_row4_col27\" class=\"data row4 col27\" >1</td>\n",
              "      <td id=\"T_8c26d_row4_col28\" class=\"data row4 col28\" >13</td>\n",
              "      <td id=\"T_8c26d_row4_col29\" class=\"data row4 col29\" >2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "      <td id=\"T_8c26d_row5_col0\" class=\"data row5 col0\" >-3</td>\n",
              "      <td id=\"T_8c26d_row5_col1\" class=\"data row5 col1\" >-9</td>\n",
              "      <td id=\"T_8c26d_row5_col2\" class=\"data row5 col2\" >9</td>\n",
              "      <td id=\"T_8c26d_row5_col3\" class=\"data row5 col3\" >2</td>\n",
              "      <td id=\"T_8c26d_row5_col4\" class=\"data row5 col4\" >0</td>\n",
              "      <td id=\"T_8c26d_row5_col5\" class=\"data row5 col5\" >-9</td>\n",
              "      <td id=\"T_8c26d_row5_col6\" class=\"data row5 col6\" >-2</td>\n",
              "      <td id=\"T_8c26d_row5_col7\" class=\"data row5 col7\" >14</td>\n",
              "      <td id=\"T_8c26d_row5_col8\" class=\"data row5 col8\" >5</td>\n",
              "      <td id=\"T_8c26d_row5_col9\" class=\"data row5 col9\" >0</td>\n",
              "      <td id=\"T_8c26d_row5_col10\" class=\"data row5 col10\" >-1</td>\n",
              "      <td id=\"T_8c26d_row5_col11\" class=\"data row5 col11\" >7</td>\n",
              "      <td id=\"T_8c26d_row5_col12\" class=\"data row5 col12\" >-2</td>\n",
              "      <td id=\"T_8c26d_row5_col13\" class=\"data row5 col13\" >-3</td>\n",
              "      <td id=\"T_8c26d_row5_col14\" class=\"data row5 col14\" >3</td>\n",
              "      <td id=\"T_8c26d_row5_col15\" class=\"data row5 col15\" >-6</td>\n",
              "      <td id=\"T_8c26d_row5_col16\" class=\"data row5 col16\" >1</td>\n",
              "      <td id=\"T_8c26d_row5_col17\" class=\"data row5 col17\" >3</td>\n",
              "      <td id=\"T_8c26d_row5_col18\" class=\"data row5 col18\" >-3</td>\n",
              "      <td id=\"T_8c26d_row5_col19\" class=\"data row5 col19\" >-5</td>\n",
              "      <td id=\"T_8c26d_row5_col20\" class=\"data row5 col20\" >4</td>\n",
              "      <td id=\"T_8c26d_row5_col21\" class=\"data row5 col21\" >8</td>\n",
              "      <td id=\"T_8c26d_row5_col22\" class=\"data row5 col22\" >-7</td>\n",
              "      <td id=\"T_8c26d_row5_col23\" class=\"data row5 col23\" >11</td>\n",
              "      <td id=\"T_8c26d_row5_col24\" class=\"data row5 col24\" >-4</td>\n",
              "      <td id=\"T_8c26d_row5_col25\" class=\"data row5 col25\" >0</td>\n",
              "      <td id=\"T_8c26d_row5_col26\" class=\"data row5 col26\" >-9</td>\n",
              "      <td id=\"T_8c26d_row5_col27\" class=\"data row5 col27\" >-9</td>\n",
              "      <td id=\"T_8c26d_row5_col28\" class=\"data row5 col28\" >0</td>\n",
              "      <td id=\"T_8c26d_row5_col29\" class=\"data row5 col29\" >-3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
              "      <td id=\"T_8c26d_row6_col0\" class=\"data row6 col0\" >-4</td>\n",
              "      <td id=\"T_8c26d_row6_col1\" class=\"data row6 col1\" >9</td>\n",
              "      <td id=\"T_8c26d_row6_col2\" class=\"data row6 col2\" >3</td>\n",
              "      <td id=\"T_8c26d_row6_col3\" class=\"data row6 col3\" >-2</td>\n",
              "      <td id=\"T_8c26d_row6_col4\" class=\"data row6 col4\" >12</td>\n",
              "      <td id=\"T_8c26d_row6_col5\" class=\"data row6 col5\" >7</td>\n",
              "      <td id=\"T_8c26d_row6_col6\" class=\"data row6 col6\" >6</td>\n",
              "      <td id=\"T_8c26d_row6_col7\" class=\"data row6 col7\" >-2</td>\n",
              "      <td id=\"T_8c26d_row6_col8\" class=\"data row6 col8\" >1</td>\n",
              "      <td id=\"T_8c26d_row6_col9\" class=\"data row6 col9\" >1</td>\n",
              "      <td id=\"T_8c26d_row6_col10\" class=\"data row6 col10\" >-5</td>\n",
              "      <td id=\"T_8c26d_row6_col11\" class=\"data row6 col11\" >10</td>\n",
              "      <td id=\"T_8c26d_row6_col12\" class=\"data row6 col12\" >-2</td>\n",
              "      <td id=\"T_8c26d_row6_col13\" class=\"data row6 col13\" >0</td>\n",
              "      <td id=\"T_8c26d_row6_col14\" class=\"data row6 col14\" >1</td>\n",
              "      <td id=\"T_8c26d_row6_col15\" class=\"data row6 col15\" >8</td>\n",
              "      <td id=\"T_8c26d_row6_col16\" class=\"data row6 col16\" >0</td>\n",
              "      <td id=\"T_8c26d_row6_col17\" class=\"data row6 col17\" >-3</td>\n",
              "      <td id=\"T_8c26d_row6_col18\" class=\"data row6 col18\" >13</td>\n",
              "      <td id=\"T_8c26d_row6_col19\" class=\"data row6 col19\" >8</td>\n",
              "      <td id=\"T_8c26d_row6_col20\" class=\"data row6 col20\" >1</td>\n",
              "      <td id=\"T_8c26d_row6_col21\" class=\"data row6 col21\" >-7</td>\n",
              "      <td id=\"T_8c26d_row6_col22\" class=\"data row6 col22\" >-3</td>\n",
              "      <td id=\"T_8c26d_row6_col23\" class=\"data row6 col23\" >-7</td>\n",
              "      <td id=\"T_8c26d_row6_col24\" class=\"data row6 col24\" >-4</td>\n",
              "      <td id=\"T_8c26d_row6_col25\" class=\"data row6 col25\" >10</td>\n",
              "      <td id=\"T_8c26d_row6_col26\" class=\"data row6 col26\" >11</td>\n",
              "      <td id=\"T_8c26d_row6_col27\" class=\"data row6 col27\" >8</td>\n",
              "      <td id=\"T_8c26d_row6_col28\" class=\"data row6 col28\" >0</td>\n",
              "      <td id=\"T_8c26d_row6_col29\" class=\"data row6 col29\" >9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "      <td id=\"T_8c26d_row7_col0\" class=\"data row7 col0\" >14</td>\n",
              "      <td id=\"T_8c26d_row7_col1\" class=\"data row7 col1\" >7</td>\n",
              "      <td id=\"T_8c26d_row7_col2\" class=\"data row7 col2\" >14</td>\n",
              "      <td id=\"T_8c26d_row7_col3\" class=\"data row7 col3\" >10</td>\n",
              "      <td id=\"T_8c26d_row7_col4\" class=\"data row7 col4\" >2</td>\n",
              "      <td id=\"T_8c26d_row7_col5\" class=\"data row7 col5\" >14</td>\n",
              "      <td id=\"T_8c26d_row7_col6\" class=\"data row7 col6\" >5</td>\n",
              "      <td id=\"T_8c26d_row7_col7\" class=\"data row7 col7\" >-3</td>\n",
              "      <td id=\"T_8c26d_row7_col8\" class=\"data row7 col8\" >-9</td>\n",
              "      <td id=\"T_8c26d_row7_col9\" class=\"data row7 col9\" >5</td>\n",
              "      <td id=\"T_8c26d_row7_col10\" class=\"data row7 col10\" >9</td>\n",
              "      <td id=\"T_8c26d_row7_col11\" class=\"data row7 col11\" >4</td>\n",
              "      <td id=\"T_8c26d_row7_col12\" class=\"data row7 col12\" >-10</td>\n",
              "      <td id=\"T_8c26d_row7_col13\" class=\"data row7 col13\" >8</td>\n",
              "      <td id=\"T_8c26d_row7_col14\" class=\"data row7 col14\" >11</td>\n",
              "      <td id=\"T_8c26d_row7_col15\" class=\"data row7 col15\" >4</td>\n",
              "      <td id=\"T_8c26d_row7_col16\" class=\"data row7 col16\" >1</td>\n",
              "      <td id=\"T_8c26d_row7_col17\" class=\"data row7 col17\" >12</td>\n",
              "      <td id=\"T_8c26d_row7_col18\" class=\"data row7 col18\" >-5</td>\n",
              "      <td id=\"T_8c26d_row7_col19\" class=\"data row7 col19\" >-2</td>\n",
              "      <td id=\"T_8c26d_row7_col20\" class=\"data row7 col20\" >9</td>\n",
              "      <td id=\"T_8c26d_row7_col21\" class=\"data row7 col21\" >-7</td>\n",
              "      <td id=\"T_8c26d_row7_col22\" class=\"data row7 col22\" >-10</td>\n",
              "      <td id=\"T_8c26d_row7_col23\" class=\"data row7 col23\" >5</td>\n",
              "      <td id=\"T_8c26d_row7_col24\" class=\"data row7 col24\" >6</td>\n",
              "      <td id=\"T_8c26d_row7_col25\" class=\"data row7 col25\" >1</td>\n",
              "      <td id=\"T_8c26d_row7_col26\" class=\"data row7 col26\" >1</td>\n",
              "      <td id=\"T_8c26d_row7_col27\" class=\"data row7 col27\" >0</td>\n",
              "      <td id=\"T_8c26d_row7_col28\" class=\"data row7 col28\" >-8</td>\n",
              "      <td id=\"T_8c26d_row7_col29\" class=\"data row7 col29\" >3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "      <td id=\"T_8c26d_row8_col0\" class=\"data row8 col0\" >13</td>\n",
              "      <td id=\"T_8c26d_row8_col1\" class=\"data row8 col1\" >-10</td>\n",
              "      <td id=\"T_8c26d_row8_col2\" class=\"data row8 col2\" >0</td>\n",
              "      <td id=\"T_8c26d_row8_col3\" class=\"data row8 col3\" >-7</td>\n",
              "      <td id=\"T_8c26d_row8_col4\" class=\"data row8 col4\" >9</td>\n",
              "      <td id=\"T_8c26d_row8_col5\" class=\"data row8 col5\" >10</td>\n",
              "      <td id=\"T_8c26d_row8_col6\" class=\"data row8 col6\" >-9</td>\n",
              "      <td id=\"T_8c26d_row8_col7\" class=\"data row8 col7\" >12</td>\n",
              "      <td id=\"T_8c26d_row8_col8\" class=\"data row8 col8\" >14</td>\n",
              "      <td id=\"T_8c26d_row8_col9\" class=\"data row8 col9\" >-6</td>\n",
              "      <td id=\"T_8c26d_row8_col10\" class=\"data row8 col10\" >-5</td>\n",
              "      <td id=\"T_8c26d_row8_col11\" class=\"data row8 col11\" >-9</td>\n",
              "      <td id=\"T_8c26d_row8_col12\" class=\"data row8 col12\" >-9</td>\n",
              "      <td id=\"T_8c26d_row8_col13\" class=\"data row8 col13\" >4</td>\n",
              "      <td id=\"T_8c26d_row8_col14\" class=\"data row8 col14\" >0</td>\n",
              "      <td id=\"T_8c26d_row8_col15\" class=\"data row8 col15\" >7</td>\n",
              "      <td id=\"T_8c26d_row8_col16\" class=\"data row8 col16\" >11</td>\n",
              "      <td id=\"T_8c26d_row8_col17\" class=\"data row8 col17\" >-4</td>\n",
              "      <td id=\"T_8c26d_row8_col18\" class=\"data row8 col18\" >-2</td>\n",
              "      <td id=\"T_8c26d_row8_col19\" class=\"data row8 col19\" >9</td>\n",
              "      <td id=\"T_8c26d_row8_col20\" class=\"data row8 col20\" >1</td>\n",
              "      <td id=\"T_8c26d_row8_col21\" class=\"data row8 col21\" >8</td>\n",
              "      <td id=\"T_8c26d_row8_col22\" class=\"data row8 col22\" >4</td>\n",
              "      <td id=\"T_8c26d_row8_col23\" class=\"data row8 col23\" >5</td>\n",
              "      <td id=\"T_8c26d_row8_col24\" class=\"data row8 col24\" >-7</td>\n",
              "      <td id=\"T_8c26d_row8_col25\" class=\"data row8 col25\" >11</td>\n",
              "      <td id=\"T_8c26d_row8_col26\" class=\"data row8 col26\" >7</td>\n",
              "      <td id=\"T_8c26d_row8_col27\" class=\"data row8 col27\" >4</td>\n",
              "      <td id=\"T_8c26d_row8_col28\" class=\"data row8 col28\" >8</td>\n",
              "      <td id=\"T_8c26d_row8_col29\" class=\"data row8 col29\" >3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "      <td id=\"T_8c26d_row9_col0\" class=\"data row9 col0\" >-6</td>\n",
              "      <td id=\"T_8c26d_row9_col1\" class=\"data row9 col1\" >-9</td>\n",
              "      <td id=\"T_8c26d_row9_col2\" class=\"data row9 col2\" >6</td>\n",
              "      <td id=\"T_8c26d_row9_col3\" class=\"data row9 col3\" >6</td>\n",
              "      <td id=\"T_8c26d_row9_col4\" class=\"data row9 col4\" >-2</td>\n",
              "      <td id=\"T_8c26d_row9_col5\" class=\"data row9 col5\" >0</td>\n",
              "      <td id=\"T_8c26d_row9_col6\" class=\"data row9 col6\" >3</td>\n",
              "      <td id=\"T_8c26d_row9_col7\" class=\"data row9 col7\" >-1</td>\n",
              "      <td id=\"T_8c26d_row9_col8\" class=\"data row9 col8\" >10</td>\n",
              "      <td id=\"T_8c26d_row9_col9\" class=\"data row9 col9\" >0</td>\n",
              "      <td id=\"T_8c26d_row9_col10\" class=\"data row9 col10\" >-2</td>\n",
              "      <td id=\"T_8c26d_row9_col11\" class=\"data row9 col11\" >-9</td>\n",
              "      <td id=\"T_8c26d_row9_col12\" class=\"data row9 col12\" >-4</td>\n",
              "      <td id=\"T_8c26d_row9_col13\" class=\"data row9 col13\" >1</td>\n",
              "      <td id=\"T_8c26d_row9_col14\" class=\"data row9 col14\" >8</td>\n",
              "      <td id=\"T_8c26d_row9_col15\" class=\"data row9 col15\" >3</td>\n",
              "      <td id=\"T_8c26d_row9_col16\" class=\"data row9 col16\" >-4</td>\n",
              "      <td id=\"T_8c26d_row9_col17\" class=\"data row9 col17\" >8</td>\n",
              "      <td id=\"T_8c26d_row9_col18\" class=\"data row9 col18\" >-9</td>\n",
              "      <td id=\"T_8c26d_row9_col19\" class=\"data row9 col19\" >7</td>\n",
              "      <td id=\"T_8c26d_row9_col20\" class=\"data row9 col20\" >1</td>\n",
              "      <td id=\"T_8c26d_row9_col21\" class=\"data row9 col21\" >-9</td>\n",
              "      <td id=\"T_8c26d_row9_col22\" class=\"data row9 col22\" >-10</td>\n",
              "      <td id=\"T_8c26d_row9_col23\" class=\"data row9 col23\" >-9</td>\n",
              "      <td id=\"T_8c26d_row9_col24\" class=\"data row9 col24\" >-8</td>\n",
              "      <td id=\"T_8c26d_row9_col25\" class=\"data row9 col25\" >-2</td>\n",
              "      <td id=\"T_8c26d_row9_col26\" class=\"data row9 col26\" >-4</td>\n",
              "      <td id=\"T_8c26d_row9_col27\" class=\"data row9 col27\" >10</td>\n",
              "      <td id=\"T_8c26d_row9_col28\" class=\"data row9 col28\" >-4</td>\n",
              "      <td id=\"T_8c26d_row9_col29\" class=\"data row9 col29\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
              "      <td id=\"T_8c26d_row10_col0\" class=\"data row10 col0\" >13</td>\n",
              "      <td id=\"T_8c26d_row10_col1\" class=\"data row10 col1\" >10</td>\n",
              "      <td id=\"T_8c26d_row10_col2\" class=\"data row10 col2\" >-4</td>\n",
              "      <td id=\"T_8c26d_row10_col3\" class=\"data row10 col3\" >-4</td>\n",
              "      <td id=\"T_8c26d_row10_col4\" class=\"data row10 col4\" >8</td>\n",
              "      <td id=\"T_8c26d_row10_col5\" class=\"data row10 col5\" >-5</td>\n",
              "      <td id=\"T_8c26d_row10_col6\" class=\"data row10 col6\" >9</td>\n",
              "      <td id=\"T_8c26d_row10_col7\" class=\"data row10 col7\" >-9</td>\n",
              "      <td id=\"T_8c26d_row10_col8\" class=\"data row10 col8\" >-3</td>\n",
              "      <td id=\"T_8c26d_row10_col9\" class=\"data row10 col9\" >-8</td>\n",
              "      <td id=\"T_8c26d_row10_col10\" class=\"data row10 col10\" >-8</td>\n",
              "      <td id=\"T_8c26d_row10_col11\" class=\"data row10 col11\" >3</td>\n",
              "      <td id=\"T_8c26d_row10_col12\" class=\"data row10 col12\" >-7</td>\n",
              "      <td id=\"T_8c26d_row10_col13\" class=\"data row10 col13\" >7</td>\n",
              "      <td id=\"T_8c26d_row10_col14\" class=\"data row10 col14\" >-2</td>\n",
              "      <td id=\"T_8c26d_row10_col15\" class=\"data row10 col15\" >-6</td>\n",
              "      <td id=\"T_8c26d_row10_col16\" class=\"data row10 col16\" >5</td>\n",
              "      <td id=\"T_8c26d_row10_col17\" class=\"data row10 col17\" >8</td>\n",
              "      <td id=\"T_8c26d_row10_col18\" class=\"data row10 col18\" >-5</td>\n",
              "      <td id=\"T_8c26d_row10_col19\" class=\"data row10 col19\" >5</td>\n",
              "      <td id=\"T_8c26d_row10_col20\" class=\"data row10 col20\" >11</td>\n",
              "      <td id=\"T_8c26d_row10_col21\" class=\"data row10 col21\" >4</td>\n",
              "      <td id=\"T_8c26d_row10_col22\" class=\"data row10 col22\" >-8</td>\n",
              "      <td id=\"T_8c26d_row10_col23\" class=\"data row10 col23\" >13</td>\n",
              "      <td id=\"T_8c26d_row10_col24\" class=\"data row10 col24\" >12</td>\n",
              "      <td id=\"T_8c26d_row10_col25\" class=\"data row10 col25\" >-7</td>\n",
              "      <td id=\"T_8c26d_row10_col26\" class=\"data row10 col26\" >-3</td>\n",
              "      <td id=\"T_8c26d_row10_col27\" class=\"data row10 col27\" >10</td>\n",
              "      <td id=\"T_8c26d_row10_col28\" class=\"data row10 col28\" >10</td>\n",
              "      <td id=\"T_8c26d_row10_col29\" class=\"data row10 col29\" >-2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
              "      <td id=\"T_8c26d_row11_col0\" class=\"data row11 col0\" >-3</td>\n",
              "      <td id=\"T_8c26d_row11_col1\" class=\"data row11 col1\" >-5</td>\n",
              "      <td id=\"T_8c26d_row11_col2\" class=\"data row11 col2\" >3</td>\n",
              "      <td id=\"T_8c26d_row11_col3\" class=\"data row11 col3\" >8</td>\n",
              "      <td id=\"T_8c26d_row11_col4\" class=\"data row11 col4\" >7</td>\n",
              "      <td id=\"T_8c26d_row11_col5\" class=\"data row11 col5\" >9</td>\n",
              "      <td id=\"T_8c26d_row11_col6\" class=\"data row11 col6\" >10</td>\n",
              "      <td id=\"T_8c26d_row11_col7\" class=\"data row11 col7\" >14</td>\n",
              "      <td id=\"T_8c26d_row11_col8\" class=\"data row11 col8\" >-5</td>\n",
              "      <td id=\"T_8c26d_row11_col9\" class=\"data row11 col9\" >9</td>\n",
              "      <td id=\"T_8c26d_row11_col10\" class=\"data row11 col10\" >-9</td>\n",
              "      <td id=\"T_8c26d_row11_col11\" class=\"data row11 col11\" >2</td>\n",
              "      <td id=\"T_8c26d_row11_col12\" class=\"data row11 col12\" >5</td>\n",
              "      <td id=\"T_8c26d_row11_col13\" class=\"data row11 col13\" >9</td>\n",
              "      <td id=\"T_8c26d_row11_col14\" class=\"data row11 col14\" >-1</td>\n",
              "      <td id=\"T_8c26d_row11_col15\" class=\"data row11 col15\" >5</td>\n",
              "      <td id=\"T_8c26d_row11_col16\" class=\"data row11 col16\" >-5</td>\n",
              "      <td id=\"T_8c26d_row11_col17\" class=\"data row11 col17\" >12</td>\n",
              "      <td id=\"T_8c26d_row11_col18\" class=\"data row11 col18\" >5</td>\n",
              "      <td id=\"T_8c26d_row11_col19\" class=\"data row11 col19\" >14</td>\n",
              "      <td id=\"T_8c26d_row11_col20\" class=\"data row11 col20\" >-1</td>\n",
              "      <td id=\"T_8c26d_row11_col21\" class=\"data row11 col21\" >-4</td>\n",
              "      <td id=\"T_8c26d_row11_col22\" class=\"data row11 col22\" >4</td>\n",
              "      <td id=\"T_8c26d_row11_col23\" class=\"data row11 col23\" >-10</td>\n",
              "      <td id=\"T_8c26d_row11_col24\" class=\"data row11 col24\" >-6</td>\n",
              "      <td id=\"T_8c26d_row11_col25\" class=\"data row11 col25\" >-10</td>\n",
              "      <td id=\"T_8c26d_row11_col26\" class=\"data row11 col26\" >4</td>\n",
              "      <td id=\"T_8c26d_row11_col27\" class=\"data row11 col27\" >8</td>\n",
              "      <td id=\"T_8c26d_row11_col28\" class=\"data row11 col28\" >6</td>\n",
              "      <td id=\"T_8c26d_row11_col29\" class=\"data row11 col29\" >12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
              "      <td id=\"T_8c26d_row12_col0\" class=\"data row12 col0\" >-9</td>\n",
              "      <td id=\"T_8c26d_row12_col1\" class=\"data row12 col1\" >7</td>\n",
              "      <td id=\"T_8c26d_row12_col2\" class=\"data row12 col2\" >-4</td>\n",
              "      <td id=\"T_8c26d_row12_col3\" class=\"data row12 col3\" >13</td>\n",
              "      <td id=\"T_8c26d_row12_col4\" class=\"data row12 col4\" >2</td>\n",
              "      <td id=\"T_8c26d_row12_col5\" class=\"data row12 col5\" >-3</td>\n",
              "      <td id=\"T_8c26d_row12_col6\" class=\"data row12 col6\" >1</td>\n",
              "      <td id=\"T_8c26d_row12_col7\" class=\"data row12 col7\" >5</td>\n",
              "      <td id=\"T_8c26d_row12_col8\" class=\"data row12 col8\" >-7</td>\n",
              "      <td id=\"T_8c26d_row12_col9\" class=\"data row12 col9\" >12</td>\n",
              "      <td id=\"T_8c26d_row12_col10\" class=\"data row12 col10\" >13</td>\n",
              "      <td id=\"T_8c26d_row12_col11\" class=\"data row12 col11\" >3</td>\n",
              "      <td id=\"T_8c26d_row12_col12\" class=\"data row12 col12\" >-6</td>\n",
              "      <td id=\"T_8c26d_row12_col13\" class=\"data row12 col13\" >12</td>\n",
              "      <td id=\"T_8c26d_row12_col14\" class=\"data row12 col14\" >9</td>\n",
              "      <td id=\"T_8c26d_row12_col15\" class=\"data row12 col15\" >-2</td>\n",
              "      <td id=\"T_8c26d_row12_col16\" class=\"data row12 col16\" >-9</td>\n",
              "      <td id=\"T_8c26d_row12_col17\" class=\"data row12 col17\" >14</td>\n",
              "      <td id=\"T_8c26d_row12_col18\" class=\"data row12 col18\" >-3</td>\n",
              "      <td id=\"T_8c26d_row12_col19\" class=\"data row12 col19\" >8</td>\n",
              "      <td id=\"T_8c26d_row12_col20\" class=\"data row12 col20\" >3</td>\n",
              "      <td id=\"T_8c26d_row12_col21\" class=\"data row12 col21\" >0</td>\n",
              "      <td id=\"T_8c26d_row12_col22\" class=\"data row12 col22\" >11</td>\n",
              "      <td id=\"T_8c26d_row12_col23\" class=\"data row12 col23\" >7</td>\n",
              "      <td id=\"T_8c26d_row12_col24\" class=\"data row12 col24\" >9</td>\n",
              "      <td id=\"T_8c26d_row12_col25\" class=\"data row12 col25\" >11</td>\n",
              "      <td id=\"T_8c26d_row12_col26\" class=\"data row12 col26\" >-6</td>\n",
              "      <td id=\"T_8c26d_row12_col27\" class=\"data row12 col27\" >9</td>\n",
              "      <td id=\"T_8c26d_row12_col28\" class=\"data row12 col28\" >-10</td>\n",
              "      <td id=\"T_8c26d_row12_col29\" class=\"data row12 col29\" >-5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
              "      <td id=\"T_8c26d_row13_col0\" class=\"data row13 col0\" >11</td>\n",
              "      <td id=\"T_8c26d_row13_col1\" class=\"data row13 col1\" >-5</td>\n",
              "      <td id=\"T_8c26d_row13_col2\" class=\"data row13 col2\" >-3</td>\n",
              "      <td id=\"T_8c26d_row13_col3\" class=\"data row13 col3\" >9</td>\n",
              "      <td id=\"T_8c26d_row13_col4\" class=\"data row13 col4\" >-9</td>\n",
              "      <td id=\"T_8c26d_row13_col5\" class=\"data row13 col5\" >4</td>\n",
              "      <td id=\"T_8c26d_row13_col6\" class=\"data row13 col6\" >14</td>\n",
              "      <td id=\"T_8c26d_row13_col7\" class=\"data row13 col7\" >11</td>\n",
              "      <td id=\"T_8c26d_row13_col8\" class=\"data row13 col8\" >-6</td>\n",
              "      <td id=\"T_8c26d_row13_col9\" class=\"data row13 col9\" >1</td>\n",
              "      <td id=\"T_8c26d_row13_col10\" class=\"data row13 col10\" >9</td>\n",
              "      <td id=\"T_8c26d_row13_col11\" class=\"data row13 col11\" >10</td>\n",
              "      <td id=\"T_8c26d_row13_col12\" class=\"data row13 col12\" >8</td>\n",
              "      <td id=\"T_8c26d_row13_col13\" class=\"data row13 col13\" >5</td>\n",
              "      <td id=\"T_8c26d_row13_col14\" class=\"data row13 col14\" >-6</td>\n",
              "      <td id=\"T_8c26d_row13_col15\" class=\"data row13 col15\" >3</td>\n",
              "      <td id=\"T_8c26d_row13_col16\" class=\"data row13 col16\" >13</td>\n",
              "      <td id=\"T_8c26d_row13_col17\" class=\"data row13 col17\" >1</td>\n",
              "      <td id=\"T_8c26d_row13_col18\" class=\"data row13 col18\" >9</td>\n",
              "      <td id=\"T_8c26d_row13_col19\" class=\"data row13 col19\" >-1</td>\n",
              "      <td id=\"T_8c26d_row13_col20\" class=\"data row13 col20\" >-1</td>\n",
              "      <td id=\"T_8c26d_row13_col21\" class=\"data row13 col21\" >-7</td>\n",
              "      <td id=\"T_8c26d_row13_col22\" class=\"data row13 col22\" >-7</td>\n",
              "      <td id=\"T_8c26d_row13_col23\" class=\"data row13 col23\" >11</td>\n",
              "      <td id=\"T_8c26d_row13_col24\" class=\"data row13 col24\" >-8</td>\n",
              "      <td id=\"T_8c26d_row13_col25\" class=\"data row13 col25\" >11</td>\n",
              "      <td id=\"T_8c26d_row13_col26\" class=\"data row13 col26\" >-7</td>\n",
              "      <td id=\"T_8c26d_row13_col27\" class=\"data row13 col27\" >2</td>\n",
              "      <td id=\"T_8c26d_row13_col28\" class=\"data row13 col28\" >-10</td>\n",
              "      <td id=\"T_8c26d_row13_col29\" class=\"data row13 col29\" >-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
              "      <td id=\"T_8c26d_row14_col0\" class=\"data row14 col0\" >10</td>\n",
              "      <td id=\"T_8c26d_row14_col1\" class=\"data row14 col1\" >-9</td>\n",
              "      <td id=\"T_8c26d_row14_col2\" class=\"data row14 col2\" >14</td>\n",
              "      <td id=\"T_8c26d_row14_col3\" class=\"data row14 col3\" >10</td>\n",
              "      <td id=\"T_8c26d_row14_col4\" class=\"data row14 col4\" >6</td>\n",
              "      <td id=\"T_8c26d_row14_col5\" class=\"data row14 col5\" >2</td>\n",
              "      <td id=\"T_8c26d_row14_col6\" class=\"data row14 col6\" >-4</td>\n",
              "      <td id=\"T_8c26d_row14_col7\" class=\"data row14 col7\" >2</td>\n",
              "      <td id=\"T_8c26d_row14_col8\" class=\"data row14 col8\" >-4</td>\n",
              "      <td id=\"T_8c26d_row14_col9\" class=\"data row14 col9\" >-8</td>\n",
              "      <td id=\"T_8c26d_row14_col10\" class=\"data row14 col10\" >-2</td>\n",
              "      <td id=\"T_8c26d_row14_col11\" class=\"data row14 col11\" >7</td>\n",
              "      <td id=\"T_8c26d_row14_col12\" class=\"data row14 col12\" >-7</td>\n",
              "      <td id=\"T_8c26d_row14_col13\" class=\"data row14 col13\" >-4</td>\n",
              "      <td id=\"T_8c26d_row14_col14\" class=\"data row14 col14\" >-9</td>\n",
              "      <td id=\"T_8c26d_row14_col15\" class=\"data row14 col15\" >-5</td>\n",
              "      <td id=\"T_8c26d_row14_col16\" class=\"data row14 col16\" >-1</td>\n",
              "      <td id=\"T_8c26d_row14_col17\" class=\"data row14 col17\" >-2</td>\n",
              "      <td id=\"T_8c26d_row14_col18\" class=\"data row14 col18\" >10</td>\n",
              "      <td id=\"T_8c26d_row14_col19\" class=\"data row14 col19\" >4</td>\n",
              "      <td id=\"T_8c26d_row14_col20\" class=\"data row14 col20\" >9</td>\n",
              "      <td id=\"T_8c26d_row14_col21\" class=\"data row14 col21\" >-4</td>\n",
              "      <td id=\"T_8c26d_row14_col22\" class=\"data row14 col22\" >1</td>\n",
              "      <td id=\"T_8c26d_row14_col23\" class=\"data row14 col23\" >2</td>\n",
              "      <td id=\"T_8c26d_row14_col24\" class=\"data row14 col24\" >2</td>\n",
              "      <td id=\"T_8c26d_row14_col25\" class=\"data row14 col25\" >-5</td>\n",
              "      <td id=\"T_8c26d_row14_col26\" class=\"data row14 col26\" >-8</td>\n",
              "      <td id=\"T_8c26d_row14_col27\" class=\"data row14 col27\" >-9</td>\n",
              "      <td id=\"T_8c26d_row14_col28\" class=\"data row14 col28\" >8</td>\n",
              "      <td id=\"T_8c26d_row14_col29\" class=\"data row14 col29\" >12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
              "      <td id=\"T_8c26d_row15_col0\" class=\"data row15 col0\" >0</td>\n",
              "      <td id=\"T_8c26d_row15_col1\" class=\"data row15 col1\" >-5</td>\n",
              "      <td id=\"T_8c26d_row15_col2\" class=\"data row15 col2\" >3</td>\n",
              "      <td id=\"T_8c26d_row15_col3\" class=\"data row15 col3\" >-1</td>\n",
              "      <td id=\"T_8c26d_row15_col4\" class=\"data row15 col4\" >-2</td>\n",
              "      <td id=\"T_8c26d_row15_col5\" class=\"data row15 col5\" >7</td>\n",
              "      <td id=\"T_8c26d_row15_col6\" class=\"data row15 col6\" >-4</td>\n",
              "      <td id=\"T_8c26d_row15_col7\" class=\"data row15 col7\" >-4</td>\n",
              "      <td id=\"T_8c26d_row15_col8\" class=\"data row15 col8\" >1</td>\n",
              "      <td id=\"T_8c26d_row15_col9\" class=\"data row15 col9\" >-8</td>\n",
              "      <td id=\"T_8c26d_row15_col10\" class=\"data row15 col10\" >8</td>\n",
              "      <td id=\"T_8c26d_row15_col11\" class=\"data row15 col11\" >12</td>\n",
              "      <td id=\"T_8c26d_row15_col12\" class=\"data row15 col12\" >7</td>\n",
              "      <td id=\"T_8c26d_row15_col13\" class=\"data row15 col13\" >11</td>\n",
              "      <td id=\"T_8c26d_row15_col14\" class=\"data row15 col14\" >11</td>\n",
              "      <td id=\"T_8c26d_row15_col15\" class=\"data row15 col15\" >-10</td>\n",
              "      <td id=\"T_8c26d_row15_col16\" class=\"data row15 col16\" >-10</td>\n",
              "      <td id=\"T_8c26d_row15_col17\" class=\"data row15 col17\" >-2</td>\n",
              "      <td id=\"T_8c26d_row15_col18\" class=\"data row15 col18\" >-9</td>\n",
              "      <td id=\"T_8c26d_row15_col19\" class=\"data row15 col19\" >12</td>\n",
              "      <td id=\"T_8c26d_row15_col20\" class=\"data row15 col20\" >0</td>\n",
              "      <td id=\"T_8c26d_row15_col21\" class=\"data row15 col21\" >7</td>\n",
              "      <td id=\"T_8c26d_row15_col22\" class=\"data row15 col22\" >6</td>\n",
              "      <td id=\"T_8c26d_row15_col23\" class=\"data row15 col23\" >6</td>\n",
              "      <td id=\"T_8c26d_row15_col24\" class=\"data row15 col24\" >-7</td>\n",
              "      <td id=\"T_8c26d_row15_col25\" class=\"data row15 col25\" >7</td>\n",
              "      <td id=\"T_8c26d_row15_col26\" class=\"data row15 col26\" >8</td>\n",
              "      <td id=\"T_8c26d_row15_col27\" class=\"data row15 col27\" >6</td>\n",
              "      <td id=\"T_8c26d_row15_col28\" class=\"data row15 col28\" >4</td>\n",
              "      <td id=\"T_8c26d_row15_col29\" class=\"data row15 col29\" >-5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
              "      <td id=\"T_8c26d_row16_col0\" class=\"data row16 col0\" >8</td>\n",
              "      <td id=\"T_8c26d_row16_col1\" class=\"data row16 col1\" >-7</td>\n",
              "      <td id=\"T_8c26d_row16_col2\" class=\"data row16 col2\" >11</td>\n",
              "      <td id=\"T_8c26d_row16_col3\" class=\"data row16 col3\" >1</td>\n",
              "      <td id=\"T_8c26d_row16_col4\" class=\"data row16 col4\" >11</td>\n",
              "      <td id=\"T_8c26d_row16_col5\" class=\"data row16 col5\" >2</td>\n",
              "      <td id=\"T_8c26d_row16_col6\" class=\"data row16 col6\" >0</td>\n",
              "      <td id=\"T_8c26d_row16_col7\" class=\"data row16 col7\" >13</td>\n",
              "      <td id=\"T_8c26d_row16_col8\" class=\"data row16 col8\" >3</td>\n",
              "      <td id=\"T_8c26d_row16_col9\" class=\"data row16 col9\" >0</td>\n",
              "      <td id=\"T_8c26d_row16_col10\" class=\"data row16 col10\" >0</td>\n",
              "      <td id=\"T_8c26d_row16_col11\" class=\"data row16 col11\" >-7</td>\n",
              "      <td id=\"T_8c26d_row16_col12\" class=\"data row16 col12\" >4</td>\n",
              "      <td id=\"T_8c26d_row16_col13\" class=\"data row16 col13\" >5</td>\n",
              "      <td id=\"T_8c26d_row16_col14\" class=\"data row16 col14\" >-2</td>\n",
              "      <td id=\"T_8c26d_row16_col15\" class=\"data row16 col15\" >-8</td>\n",
              "      <td id=\"T_8c26d_row16_col16\" class=\"data row16 col16\" >12</td>\n",
              "      <td id=\"T_8c26d_row16_col17\" class=\"data row16 col17\" >14</td>\n",
              "      <td id=\"T_8c26d_row16_col18\" class=\"data row16 col18\" >4</td>\n",
              "      <td id=\"T_8c26d_row16_col19\" class=\"data row16 col19\" >-4</td>\n",
              "      <td id=\"T_8c26d_row16_col20\" class=\"data row16 col20\" >14</td>\n",
              "      <td id=\"T_8c26d_row16_col21\" class=\"data row16 col21\" >11</td>\n",
              "      <td id=\"T_8c26d_row16_col22\" class=\"data row16 col22\" >-3</td>\n",
              "      <td id=\"T_8c26d_row16_col23\" class=\"data row16 col23\" >-6</td>\n",
              "      <td id=\"T_8c26d_row16_col24\" class=\"data row16 col24\" >-2</td>\n",
              "      <td id=\"T_8c26d_row16_col25\" class=\"data row16 col25\" >-2</td>\n",
              "      <td id=\"T_8c26d_row16_col26\" class=\"data row16 col26\" >-4</td>\n",
              "      <td id=\"T_8c26d_row16_col27\" class=\"data row16 col27\" >-8</td>\n",
              "      <td id=\"T_8c26d_row16_col28\" class=\"data row16 col28\" >1</td>\n",
              "      <td id=\"T_8c26d_row16_col29\" class=\"data row16 col29\" >8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
              "      <td id=\"T_8c26d_row17_col0\" class=\"data row17 col0\" >2</td>\n",
              "      <td id=\"T_8c26d_row17_col1\" class=\"data row17 col1\" >8</td>\n",
              "      <td id=\"T_8c26d_row17_col2\" class=\"data row17 col2\" >14</td>\n",
              "      <td id=\"T_8c26d_row17_col3\" class=\"data row17 col3\" >-4</td>\n",
              "      <td id=\"T_8c26d_row17_col4\" class=\"data row17 col4\" >-3</td>\n",
              "      <td id=\"T_8c26d_row17_col5\" class=\"data row17 col5\" >12</td>\n",
              "      <td id=\"T_8c26d_row17_col6\" class=\"data row17 col6\" >-1</td>\n",
              "      <td id=\"T_8c26d_row17_col7\" class=\"data row17 col7\" >-9</td>\n",
              "      <td id=\"T_8c26d_row17_col8\" class=\"data row17 col8\" >9</td>\n",
              "      <td id=\"T_8c26d_row17_col9\" class=\"data row17 col9\" >7</td>\n",
              "      <td id=\"T_8c26d_row17_col10\" class=\"data row17 col10\" >-8</td>\n",
              "      <td id=\"T_8c26d_row17_col11\" class=\"data row17 col11\" >14</td>\n",
              "      <td id=\"T_8c26d_row17_col12\" class=\"data row17 col12\" >1</td>\n",
              "      <td id=\"T_8c26d_row17_col13\" class=\"data row17 col13\" >5</td>\n",
              "      <td id=\"T_8c26d_row17_col14\" class=\"data row17 col14\" >12</td>\n",
              "      <td id=\"T_8c26d_row17_col15\" class=\"data row17 col15\" >-9</td>\n",
              "      <td id=\"T_8c26d_row17_col16\" class=\"data row17 col16\" >14</td>\n",
              "      <td id=\"T_8c26d_row17_col17\" class=\"data row17 col17\" >12</td>\n",
              "      <td id=\"T_8c26d_row17_col18\" class=\"data row17 col18\" >-3</td>\n",
              "      <td id=\"T_8c26d_row17_col19\" class=\"data row17 col19\" >12</td>\n",
              "      <td id=\"T_8c26d_row17_col20\" class=\"data row17 col20\" >-4</td>\n",
              "      <td id=\"T_8c26d_row17_col21\" class=\"data row17 col21\" >-4</td>\n",
              "      <td id=\"T_8c26d_row17_col22\" class=\"data row17 col22\" >-5</td>\n",
              "      <td id=\"T_8c26d_row17_col23\" class=\"data row17 col23\" >2</td>\n",
              "      <td id=\"T_8c26d_row17_col24\" class=\"data row17 col24\" >13</td>\n",
              "      <td id=\"T_8c26d_row17_col25\" class=\"data row17 col25\" >8</td>\n",
              "      <td id=\"T_8c26d_row17_col26\" class=\"data row17 col26\" >10</td>\n",
              "      <td id=\"T_8c26d_row17_col27\" class=\"data row17 col27\" >14</td>\n",
              "      <td id=\"T_8c26d_row17_col28\" class=\"data row17 col28\" >3</td>\n",
              "      <td id=\"T_8c26d_row17_col29\" class=\"data row17 col29\" >-7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
              "      <td id=\"T_8c26d_row18_col0\" class=\"data row18 col0\" >-1</td>\n",
              "      <td id=\"T_8c26d_row18_col1\" class=\"data row18 col1\" >0</td>\n",
              "      <td id=\"T_8c26d_row18_col2\" class=\"data row18 col2\" >-6</td>\n",
              "      <td id=\"T_8c26d_row18_col3\" class=\"data row18 col3\" >-8</td>\n",
              "      <td id=\"T_8c26d_row18_col4\" class=\"data row18 col4\" >-10</td>\n",
              "      <td id=\"T_8c26d_row18_col5\" class=\"data row18 col5\" >-5</td>\n",
              "      <td id=\"T_8c26d_row18_col6\" class=\"data row18 col6\" >-2</td>\n",
              "      <td id=\"T_8c26d_row18_col7\" class=\"data row18 col7\" >4</td>\n",
              "      <td id=\"T_8c26d_row18_col8\" class=\"data row18 col8\" >11</td>\n",
              "      <td id=\"T_8c26d_row18_col9\" class=\"data row18 col9\" >-7</td>\n",
              "      <td id=\"T_8c26d_row18_col10\" class=\"data row18 col10\" >-10</td>\n",
              "      <td id=\"T_8c26d_row18_col11\" class=\"data row18 col11\" >5</td>\n",
              "      <td id=\"T_8c26d_row18_col12\" class=\"data row18 col12\" >-9</td>\n",
              "      <td id=\"T_8c26d_row18_col13\" class=\"data row18 col13\" >-2</td>\n",
              "      <td id=\"T_8c26d_row18_col14\" class=\"data row18 col14\" >7</td>\n",
              "      <td id=\"T_8c26d_row18_col15\" class=\"data row18 col15\" >-5</td>\n",
              "      <td id=\"T_8c26d_row18_col16\" class=\"data row18 col16\" >-8</td>\n",
              "      <td id=\"T_8c26d_row18_col17\" class=\"data row18 col17\" >8</td>\n",
              "      <td id=\"T_8c26d_row18_col18\" class=\"data row18 col18\" >8</td>\n",
              "      <td id=\"T_8c26d_row18_col19\" class=\"data row18 col19\" >-9</td>\n",
              "      <td id=\"T_8c26d_row18_col20\" class=\"data row18 col20\" >-7</td>\n",
              "      <td id=\"T_8c26d_row18_col21\" class=\"data row18 col21\" >0</td>\n",
              "      <td id=\"T_8c26d_row18_col22\" class=\"data row18 col22\" >3</td>\n",
              "      <td id=\"T_8c26d_row18_col23\" class=\"data row18 col23\" >-9</td>\n",
              "      <td id=\"T_8c26d_row18_col24\" class=\"data row18 col24\" >-6</td>\n",
              "      <td id=\"T_8c26d_row18_col25\" class=\"data row18 col25\" >9</td>\n",
              "      <td id=\"T_8c26d_row18_col26\" class=\"data row18 col26\" >5</td>\n",
              "      <td id=\"T_8c26d_row18_col27\" class=\"data row18 col27\" >-1</td>\n",
              "      <td id=\"T_8c26d_row18_col28\" class=\"data row18 col28\" >-1</td>\n",
              "      <td id=\"T_8c26d_row18_col29\" class=\"data row18 col29\" >-8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
              "      <td id=\"T_8c26d_row19_col0\" class=\"data row19 col0\" >13</td>\n",
              "      <td id=\"T_8c26d_row19_col1\" class=\"data row19 col1\" >-5</td>\n",
              "      <td id=\"T_8c26d_row19_col2\" class=\"data row19 col2\" >7</td>\n",
              "      <td id=\"T_8c26d_row19_col3\" class=\"data row19 col3\" >4</td>\n",
              "      <td id=\"T_8c26d_row19_col4\" class=\"data row19 col4\" >8</td>\n",
              "      <td id=\"T_8c26d_row19_col5\" class=\"data row19 col5\" >-5</td>\n",
              "      <td id=\"T_8c26d_row19_col6\" class=\"data row19 col6\" >-3</td>\n",
              "      <td id=\"T_8c26d_row19_col7\" class=\"data row19 col7\" >5</td>\n",
              "      <td id=\"T_8c26d_row19_col8\" class=\"data row19 col8\" >-9</td>\n",
              "      <td id=\"T_8c26d_row19_col9\" class=\"data row19 col9\" >-1</td>\n",
              "      <td id=\"T_8c26d_row19_col10\" class=\"data row19 col10\" >-5</td>\n",
              "      <td id=\"T_8c26d_row19_col11\" class=\"data row19 col11\" >5</td>\n",
              "      <td id=\"T_8c26d_row19_col12\" class=\"data row19 col12\" >3</td>\n",
              "      <td id=\"T_8c26d_row19_col13\" class=\"data row19 col13\" >-3</td>\n",
              "      <td id=\"T_8c26d_row19_col14\" class=\"data row19 col14\" >8</td>\n",
              "      <td id=\"T_8c26d_row19_col15\" class=\"data row19 col15\" >12</td>\n",
              "      <td id=\"T_8c26d_row19_col16\" class=\"data row19 col16\" >-3</td>\n",
              "      <td id=\"T_8c26d_row19_col17\" class=\"data row19 col17\" >6</td>\n",
              "      <td id=\"T_8c26d_row19_col18\" class=\"data row19 col18\" >9</td>\n",
              "      <td id=\"T_8c26d_row19_col19\" class=\"data row19 col19\" >8</td>\n",
              "      <td id=\"T_8c26d_row19_col20\" class=\"data row19 col20\" >14</td>\n",
              "      <td id=\"T_8c26d_row19_col21\" class=\"data row19 col21\" >-1</td>\n",
              "      <td id=\"T_8c26d_row19_col22\" class=\"data row19 col22\" >8</td>\n",
              "      <td id=\"T_8c26d_row19_col23\" class=\"data row19 col23\" >-1</td>\n",
              "      <td id=\"T_8c26d_row19_col24\" class=\"data row19 col24\" >8</td>\n",
              "      <td id=\"T_8c26d_row19_col25\" class=\"data row19 col25\" >8</td>\n",
              "      <td id=\"T_8c26d_row19_col26\" class=\"data row19 col26\" >5</td>\n",
              "      <td id=\"T_8c26d_row19_col27\" class=\"data row19 col27\" >7</td>\n",
              "      <td id=\"T_8c26d_row19_col28\" class=\"data row19 col28\" >-5</td>\n",
              "      <td id=\"T_8c26d_row19_col29\" class=\"data row19 col29\" >13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
              "      <td id=\"T_8c26d_row20_col0\" class=\"data row20 col0\" >-6</td>\n",
              "      <td id=\"T_8c26d_row20_col1\" class=\"data row20 col1\" >0</td>\n",
              "      <td id=\"T_8c26d_row20_col2\" class=\"data row20 col2\" >3</td>\n",
              "      <td id=\"T_8c26d_row20_col3\" class=\"data row20 col3\" >-1</td>\n",
              "      <td id=\"T_8c26d_row20_col4\" class=\"data row20 col4\" >7</td>\n",
              "      <td id=\"T_8c26d_row20_col5\" class=\"data row20 col5\" >1</td>\n",
              "      <td id=\"T_8c26d_row20_col6\" class=\"data row20 col6\" >4</td>\n",
              "      <td id=\"T_8c26d_row20_col7\" class=\"data row20 col7\" >7</td>\n",
              "      <td id=\"T_8c26d_row20_col8\" class=\"data row20 col8\" >0</td>\n",
              "      <td id=\"T_8c26d_row20_col9\" class=\"data row20 col9\" >10</td>\n",
              "      <td id=\"T_8c26d_row20_col10\" class=\"data row20 col10\" >3</td>\n",
              "      <td id=\"T_8c26d_row20_col11\" class=\"data row20 col11\" >5</td>\n",
              "      <td id=\"T_8c26d_row20_col12\" class=\"data row20 col12\" >0</td>\n",
              "      <td id=\"T_8c26d_row20_col13\" class=\"data row20 col13\" >-1</td>\n",
              "      <td id=\"T_8c26d_row20_col14\" class=\"data row20 col14\" >-2</td>\n",
              "      <td id=\"T_8c26d_row20_col15\" class=\"data row20 col15\" >7</td>\n",
              "      <td id=\"T_8c26d_row20_col16\" class=\"data row20 col16\" >11</td>\n",
              "      <td id=\"T_8c26d_row20_col17\" class=\"data row20 col17\" >-8</td>\n",
              "      <td id=\"T_8c26d_row20_col18\" class=\"data row20 col18\" >-7</td>\n",
              "      <td id=\"T_8c26d_row20_col19\" class=\"data row20 col19\" >-7</td>\n",
              "      <td id=\"T_8c26d_row20_col20\" class=\"data row20 col20\" >-8</td>\n",
              "      <td id=\"T_8c26d_row20_col21\" class=\"data row20 col21\" >-10</td>\n",
              "      <td id=\"T_8c26d_row20_col22\" class=\"data row20 col22\" >10</td>\n",
              "      <td id=\"T_8c26d_row20_col23\" class=\"data row20 col23\" >-4</td>\n",
              "      <td id=\"T_8c26d_row20_col24\" class=\"data row20 col24\" >4</td>\n",
              "      <td id=\"T_8c26d_row20_col25\" class=\"data row20 col25\" >4</td>\n",
              "      <td id=\"T_8c26d_row20_col26\" class=\"data row20 col26\" >3</td>\n",
              "      <td id=\"T_8c26d_row20_col27\" class=\"data row20 col27\" >-1</td>\n",
              "      <td id=\"T_8c26d_row20_col28\" class=\"data row20 col28\" >-7</td>\n",
              "      <td id=\"T_8c26d_row20_col29\" class=\"data row20 col29\" >-8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
              "      <td id=\"T_8c26d_row21_col0\" class=\"data row21 col0\" >9</td>\n",
              "      <td id=\"T_8c26d_row21_col1\" class=\"data row21 col1\" >-3</td>\n",
              "      <td id=\"T_8c26d_row21_col2\" class=\"data row21 col2\" >-2</td>\n",
              "      <td id=\"T_8c26d_row21_col3\" class=\"data row21 col3\" >-2</td>\n",
              "      <td id=\"T_8c26d_row21_col4\" class=\"data row21 col4\" >1</td>\n",
              "      <td id=\"T_8c26d_row21_col5\" class=\"data row21 col5\" >-7</td>\n",
              "      <td id=\"T_8c26d_row21_col6\" class=\"data row21 col6\" >4</td>\n",
              "      <td id=\"T_8c26d_row21_col7\" class=\"data row21 col7\" >5</td>\n",
              "      <td id=\"T_8c26d_row21_col8\" class=\"data row21 col8\" >8</td>\n",
              "      <td id=\"T_8c26d_row21_col9\" class=\"data row21 col9\" >-10</td>\n",
              "      <td id=\"T_8c26d_row21_col10\" class=\"data row21 col10\" >6</td>\n",
              "      <td id=\"T_8c26d_row21_col11\" class=\"data row21 col11\" >12</td>\n",
              "      <td id=\"T_8c26d_row21_col12\" class=\"data row21 col12\" >7</td>\n",
              "      <td id=\"T_8c26d_row21_col13\" class=\"data row21 col13\" >-5</td>\n",
              "      <td id=\"T_8c26d_row21_col14\" class=\"data row21 col14\" >-6</td>\n",
              "      <td id=\"T_8c26d_row21_col15\" class=\"data row21 col15\" >-1</td>\n",
              "      <td id=\"T_8c26d_row21_col16\" class=\"data row21 col16\" >1</td>\n",
              "      <td id=\"T_8c26d_row21_col17\" class=\"data row21 col17\" >9</td>\n",
              "      <td id=\"T_8c26d_row21_col18\" class=\"data row21 col18\" >-1</td>\n",
              "      <td id=\"T_8c26d_row21_col19\" class=\"data row21 col19\" >-1</td>\n",
              "      <td id=\"T_8c26d_row21_col20\" class=\"data row21 col20\" >-4</td>\n",
              "      <td id=\"T_8c26d_row21_col21\" class=\"data row21 col21\" >7</td>\n",
              "      <td id=\"T_8c26d_row21_col22\" class=\"data row21 col22\" >10</td>\n",
              "      <td id=\"T_8c26d_row21_col23\" class=\"data row21 col23\" >5</td>\n",
              "      <td id=\"T_8c26d_row21_col24\" class=\"data row21 col24\" >0</td>\n",
              "      <td id=\"T_8c26d_row21_col25\" class=\"data row21 col25\" >-3</td>\n",
              "      <td id=\"T_8c26d_row21_col26\" class=\"data row21 col26\" >-10</td>\n",
              "      <td id=\"T_8c26d_row21_col27\" class=\"data row21 col27\" >-8</td>\n",
              "      <td id=\"T_8c26d_row21_col28\" class=\"data row21 col28\" >9</td>\n",
              "      <td id=\"T_8c26d_row21_col29\" class=\"data row21 col29\" >2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
              "      <td id=\"T_8c26d_row22_col0\" class=\"data row22 col0\" >-2</td>\n",
              "      <td id=\"T_8c26d_row22_col1\" class=\"data row22 col1\" >-6</td>\n",
              "      <td id=\"T_8c26d_row22_col2\" class=\"data row22 col2\" >8</td>\n",
              "      <td id=\"T_8c26d_row22_col3\" class=\"data row22 col3\" >11</td>\n",
              "      <td id=\"T_8c26d_row22_col4\" class=\"data row22 col4\" >4</td>\n",
              "      <td id=\"T_8c26d_row22_col5\" class=\"data row22 col5\" >1</td>\n",
              "      <td id=\"T_8c26d_row22_col6\" class=\"data row22 col6\" >2</td>\n",
              "      <td id=\"T_8c26d_row22_col7\" class=\"data row22 col7\" >-5</td>\n",
              "      <td id=\"T_8c26d_row22_col8\" class=\"data row22 col8\" >4</td>\n",
              "      <td id=\"T_8c26d_row22_col9\" class=\"data row22 col9\" >8</td>\n",
              "      <td id=\"T_8c26d_row22_col10\" class=\"data row22 col10\" >7</td>\n",
              "      <td id=\"T_8c26d_row22_col11\" class=\"data row22 col11\" >4</td>\n",
              "      <td id=\"T_8c26d_row22_col12\" class=\"data row22 col12\" >6</td>\n",
              "      <td id=\"T_8c26d_row22_col13\" class=\"data row22 col13\" >0</td>\n",
              "      <td id=\"T_8c26d_row22_col14\" class=\"data row22 col14\" >-4</td>\n",
              "      <td id=\"T_8c26d_row22_col15\" class=\"data row22 col15\" >-6</td>\n",
              "      <td id=\"T_8c26d_row22_col16\" class=\"data row22 col16\" >5</td>\n",
              "      <td id=\"T_8c26d_row22_col17\" class=\"data row22 col17\" >-1</td>\n",
              "      <td id=\"T_8c26d_row22_col18\" class=\"data row22 col18\" >2</td>\n",
              "      <td id=\"T_8c26d_row22_col19\" class=\"data row22 col19\" >1</td>\n",
              "      <td id=\"T_8c26d_row22_col20\" class=\"data row22 col20\" >6</td>\n",
              "      <td id=\"T_8c26d_row22_col21\" class=\"data row22 col21\" >8</td>\n",
              "      <td id=\"T_8c26d_row22_col22\" class=\"data row22 col22\" >6</td>\n",
              "      <td id=\"T_8c26d_row22_col23\" class=\"data row22 col23\" >-5</td>\n",
              "      <td id=\"T_8c26d_row22_col24\" class=\"data row22 col24\" >5</td>\n",
              "      <td id=\"T_8c26d_row22_col25\" class=\"data row22 col25\" >-2</td>\n",
              "      <td id=\"T_8c26d_row22_col26\" class=\"data row22 col26\" >1</td>\n",
              "      <td id=\"T_8c26d_row22_col27\" class=\"data row22 col27\" >-1</td>\n",
              "      <td id=\"T_8c26d_row22_col28\" class=\"data row22 col28\" >-5</td>\n",
              "      <td id=\"T_8c26d_row22_col29\" class=\"data row22 col29\" >-3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
              "      <td id=\"T_8c26d_row23_col0\" class=\"data row23 col0\" >-7</td>\n",
              "      <td id=\"T_8c26d_row23_col1\" class=\"data row23 col1\" >5</td>\n",
              "      <td id=\"T_8c26d_row23_col2\" class=\"data row23 col2\" >0</td>\n",
              "      <td id=\"T_8c26d_row23_col3\" class=\"data row23 col3\" >-8</td>\n",
              "      <td id=\"T_8c26d_row23_col4\" class=\"data row23 col4\" >10</td>\n",
              "      <td id=\"T_8c26d_row23_col5\" class=\"data row23 col5\" >4</td>\n",
              "      <td id=\"T_8c26d_row23_col6\" class=\"data row23 col6\" >14</td>\n",
              "      <td id=\"T_8c26d_row23_col7\" class=\"data row23 col7\" >10</td>\n",
              "      <td id=\"T_8c26d_row23_col8\" class=\"data row23 col8\" >14</td>\n",
              "      <td id=\"T_8c26d_row23_col9\" class=\"data row23 col9\" >2</td>\n",
              "      <td id=\"T_8c26d_row23_col10\" class=\"data row23 col10\" >14</td>\n",
              "      <td id=\"T_8c26d_row23_col11\" class=\"data row23 col11\" >-9</td>\n",
              "      <td id=\"T_8c26d_row23_col12\" class=\"data row23 col12\" >-9</td>\n",
              "      <td id=\"T_8c26d_row23_col13\" class=\"data row23 col13\" >-10</td>\n",
              "      <td id=\"T_8c26d_row23_col14\" class=\"data row23 col14\" >-8</td>\n",
              "      <td id=\"T_8c26d_row23_col15\" class=\"data row23 col15\" >-6</td>\n",
              "      <td id=\"T_8c26d_row23_col16\" class=\"data row23 col16\" >8</td>\n",
              "      <td id=\"T_8c26d_row23_col17\" class=\"data row23 col17\" >2</td>\n",
              "      <td id=\"T_8c26d_row23_col18\" class=\"data row23 col18\" >-9</td>\n",
              "      <td id=\"T_8c26d_row23_col19\" class=\"data row23 col19\" >6</td>\n",
              "      <td id=\"T_8c26d_row23_col20\" class=\"data row23 col20\" >-6</td>\n",
              "      <td id=\"T_8c26d_row23_col21\" class=\"data row23 col21\" >14</td>\n",
              "      <td id=\"T_8c26d_row23_col22\" class=\"data row23 col22\" >0</td>\n",
              "      <td id=\"T_8c26d_row23_col23\" class=\"data row23 col23\" >-2</td>\n",
              "      <td id=\"T_8c26d_row23_col24\" class=\"data row23 col24\" >-9</td>\n",
              "      <td id=\"T_8c26d_row23_col25\" class=\"data row23 col25\" >-1</td>\n",
              "      <td id=\"T_8c26d_row23_col26\" class=\"data row23 col26\" >1</td>\n",
              "      <td id=\"T_8c26d_row23_col27\" class=\"data row23 col27\" >3</td>\n",
              "      <td id=\"T_8c26d_row23_col28\" class=\"data row23 col28\" >9</td>\n",
              "      <td id=\"T_8c26d_row23_col29\" class=\"data row23 col29\" >-4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
              "      <td id=\"T_8c26d_row24_col0\" class=\"data row24 col0\" >-2</td>\n",
              "      <td id=\"T_8c26d_row24_col1\" class=\"data row24 col1\" >-3</td>\n",
              "      <td id=\"T_8c26d_row24_col2\" class=\"data row24 col2\" >-6</td>\n",
              "      <td id=\"T_8c26d_row24_col3\" class=\"data row24 col3\" >-1</td>\n",
              "      <td id=\"T_8c26d_row24_col4\" class=\"data row24 col4\" >1</td>\n",
              "      <td id=\"T_8c26d_row24_col5\" class=\"data row24 col5\" >5</td>\n",
              "      <td id=\"T_8c26d_row24_col6\" class=\"data row24 col6\" >11</td>\n",
              "      <td id=\"T_8c26d_row24_col7\" class=\"data row24 col7\" >10</td>\n",
              "      <td id=\"T_8c26d_row24_col8\" class=\"data row24 col8\" >3</td>\n",
              "      <td id=\"T_8c26d_row24_col9\" class=\"data row24 col9\" >-9</td>\n",
              "      <td id=\"T_8c26d_row24_col10\" class=\"data row24 col10\" >1</td>\n",
              "      <td id=\"T_8c26d_row24_col11\" class=\"data row24 col11\" >3</td>\n",
              "      <td id=\"T_8c26d_row24_col12\" class=\"data row24 col12\" >-3</td>\n",
              "      <td id=\"T_8c26d_row24_col13\" class=\"data row24 col13\" >5</td>\n",
              "      <td id=\"T_8c26d_row24_col14\" class=\"data row24 col14\" >-6</td>\n",
              "      <td id=\"T_8c26d_row24_col15\" class=\"data row24 col15\" >8</td>\n",
              "      <td id=\"T_8c26d_row24_col16\" class=\"data row24 col16\" >-5</td>\n",
              "      <td id=\"T_8c26d_row24_col17\" class=\"data row24 col17\" >-8</td>\n",
              "      <td id=\"T_8c26d_row24_col18\" class=\"data row24 col18\" >-1</td>\n",
              "      <td id=\"T_8c26d_row24_col19\" class=\"data row24 col19\" >14</td>\n",
              "      <td id=\"T_8c26d_row24_col20\" class=\"data row24 col20\" >1</td>\n",
              "      <td id=\"T_8c26d_row24_col21\" class=\"data row24 col21\" >6</td>\n",
              "      <td id=\"T_8c26d_row24_col22\" class=\"data row24 col22\" >1</td>\n",
              "      <td id=\"T_8c26d_row24_col23\" class=\"data row24 col23\" >6</td>\n",
              "      <td id=\"T_8c26d_row24_col24\" class=\"data row24 col24\" >9</td>\n",
              "      <td id=\"T_8c26d_row24_col25\" class=\"data row24 col25\" >8</td>\n",
              "      <td id=\"T_8c26d_row24_col26\" class=\"data row24 col26\" >2</td>\n",
              "      <td id=\"T_8c26d_row24_col27\" class=\"data row24 col27\" >6</td>\n",
              "      <td id=\"T_8c26d_row24_col28\" class=\"data row24 col28\" >0</td>\n",
              "      <td id=\"T_8c26d_row24_col29\" class=\"data row24 col29\" >-4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
              "      <td id=\"T_8c26d_row25_col0\" class=\"data row25 col0\" >-8</td>\n",
              "      <td id=\"T_8c26d_row25_col1\" class=\"data row25 col1\" >1</td>\n",
              "      <td id=\"T_8c26d_row25_col2\" class=\"data row25 col2\" >2</td>\n",
              "      <td id=\"T_8c26d_row25_col3\" class=\"data row25 col3\" >-5</td>\n",
              "      <td id=\"T_8c26d_row25_col4\" class=\"data row25 col4\" >-7</td>\n",
              "      <td id=\"T_8c26d_row25_col5\" class=\"data row25 col5\" >-5</td>\n",
              "      <td id=\"T_8c26d_row25_col6\" class=\"data row25 col6\" >8</td>\n",
              "      <td id=\"T_8c26d_row25_col7\" class=\"data row25 col7\" >-8</td>\n",
              "      <td id=\"T_8c26d_row25_col8\" class=\"data row25 col8\" >-3</td>\n",
              "      <td id=\"T_8c26d_row25_col9\" class=\"data row25 col9\" >-4</td>\n",
              "      <td id=\"T_8c26d_row25_col10\" class=\"data row25 col10\" >5</td>\n",
              "      <td id=\"T_8c26d_row25_col11\" class=\"data row25 col11\" >3</td>\n",
              "      <td id=\"T_8c26d_row25_col12\" class=\"data row25 col12\" >0</td>\n",
              "      <td id=\"T_8c26d_row25_col13\" class=\"data row25 col13\" >-5</td>\n",
              "      <td id=\"T_8c26d_row25_col14\" class=\"data row25 col14\" >4</td>\n",
              "      <td id=\"T_8c26d_row25_col15\" class=\"data row25 col15\" >-8</td>\n",
              "      <td id=\"T_8c26d_row25_col16\" class=\"data row25 col16\" >3</td>\n",
              "      <td id=\"T_8c26d_row25_col17\" class=\"data row25 col17\" >-8</td>\n",
              "      <td id=\"T_8c26d_row25_col18\" class=\"data row25 col18\" >-7</td>\n",
              "      <td id=\"T_8c26d_row25_col19\" class=\"data row25 col19\" >1</td>\n",
              "      <td id=\"T_8c26d_row25_col20\" class=\"data row25 col20\" >-4</td>\n",
              "      <td id=\"T_8c26d_row25_col21\" class=\"data row25 col21\" >5</td>\n",
              "      <td id=\"T_8c26d_row25_col22\" class=\"data row25 col22\" >7</td>\n",
              "      <td id=\"T_8c26d_row25_col23\" class=\"data row25 col23\" >4</td>\n",
              "      <td id=\"T_8c26d_row25_col24\" class=\"data row25 col24\" >13</td>\n",
              "      <td id=\"T_8c26d_row25_col25\" class=\"data row25 col25\" >-4</td>\n",
              "      <td id=\"T_8c26d_row25_col26\" class=\"data row25 col26\" >-5</td>\n",
              "      <td id=\"T_8c26d_row25_col27\" class=\"data row25 col27\" >7</td>\n",
              "      <td id=\"T_8c26d_row25_col28\" class=\"data row25 col28\" >6</td>\n",
              "      <td id=\"T_8c26d_row25_col29\" class=\"data row25 col29\" >10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
              "      <td id=\"T_8c26d_row26_col0\" class=\"data row26 col0\" >8</td>\n",
              "      <td id=\"T_8c26d_row26_col1\" class=\"data row26 col1\" >2</td>\n",
              "      <td id=\"T_8c26d_row26_col2\" class=\"data row26 col2\" >0</td>\n",
              "      <td id=\"T_8c26d_row26_col3\" class=\"data row26 col3\" >6</td>\n",
              "      <td id=\"T_8c26d_row26_col4\" class=\"data row26 col4\" >-1</td>\n",
              "      <td id=\"T_8c26d_row26_col5\" class=\"data row26 col5\" >11</td>\n",
              "      <td id=\"T_8c26d_row26_col6\" class=\"data row26 col6\" >-1</td>\n",
              "      <td id=\"T_8c26d_row26_col7\" class=\"data row26 col7\" >7</td>\n",
              "      <td id=\"T_8c26d_row26_col8\" class=\"data row26 col8\" >4</td>\n",
              "      <td id=\"T_8c26d_row26_col9\" class=\"data row26 col9\" >0</td>\n",
              "      <td id=\"T_8c26d_row26_col10\" class=\"data row26 col10\" >-10</td>\n",
              "      <td id=\"T_8c26d_row26_col11\" class=\"data row26 col11\" >5</td>\n",
              "      <td id=\"T_8c26d_row26_col12\" class=\"data row26 col12\" >-3</td>\n",
              "      <td id=\"T_8c26d_row26_col13\" class=\"data row26 col13\" >-6</td>\n",
              "      <td id=\"T_8c26d_row26_col14\" class=\"data row26 col14\" >11</td>\n",
              "      <td id=\"T_8c26d_row26_col15\" class=\"data row26 col15\" >8</td>\n",
              "      <td id=\"T_8c26d_row26_col16\" class=\"data row26 col16\" >6</td>\n",
              "      <td id=\"T_8c26d_row26_col17\" class=\"data row26 col17\" >10</td>\n",
              "      <td id=\"T_8c26d_row26_col18\" class=\"data row26 col18\" >13</td>\n",
              "      <td id=\"T_8c26d_row26_col19\" class=\"data row26 col19\" >11</td>\n",
              "      <td id=\"T_8c26d_row26_col20\" class=\"data row26 col20\" >-6</td>\n",
              "      <td id=\"T_8c26d_row26_col21\" class=\"data row26 col21\" >-4</td>\n",
              "      <td id=\"T_8c26d_row26_col22\" class=\"data row26 col22\" >-2</td>\n",
              "      <td id=\"T_8c26d_row26_col23\" class=\"data row26 col23\" >-4</td>\n",
              "      <td id=\"T_8c26d_row26_col24\" class=\"data row26 col24\" >14</td>\n",
              "      <td id=\"T_8c26d_row26_col25\" class=\"data row26 col25\" >5</td>\n",
              "      <td id=\"T_8c26d_row26_col26\" class=\"data row26 col26\" >14</td>\n",
              "      <td id=\"T_8c26d_row26_col27\" class=\"data row26 col27\" >9</td>\n",
              "      <td id=\"T_8c26d_row26_col28\" class=\"data row26 col28\" >12</td>\n",
              "      <td id=\"T_8c26d_row26_col29\" class=\"data row26 col29\" >0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
              "      <td id=\"T_8c26d_row27_col0\" class=\"data row27 col0\" >-6</td>\n",
              "      <td id=\"T_8c26d_row27_col1\" class=\"data row27 col1\" >-2</td>\n",
              "      <td id=\"T_8c26d_row27_col2\" class=\"data row27 col2\" >8</td>\n",
              "      <td id=\"T_8c26d_row27_col3\" class=\"data row27 col3\" >-5</td>\n",
              "      <td id=\"T_8c26d_row27_col4\" class=\"data row27 col4\" >-4</td>\n",
              "      <td id=\"T_8c26d_row27_col5\" class=\"data row27 col5\" >-10</td>\n",
              "      <td id=\"T_8c26d_row27_col6\" class=\"data row27 col6\" >1</td>\n",
              "      <td id=\"T_8c26d_row27_col7\" class=\"data row27 col7\" >4</td>\n",
              "      <td id=\"T_8c26d_row27_col8\" class=\"data row27 col8\" >-10</td>\n",
              "      <td id=\"T_8c26d_row27_col9\" class=\"data row27 col9\" >13</td>\n",
              "      <td id=\"T_8c26d_row27_col10\" class=\"data row27 col10\" >0</td>\n",
              "      <td id=\"T_8c26d_row27_col11\" class=\"data row27 col11\" >3</td>\n",
              "      <td id=\"T_8c26d_row27_col12\" class=\"data row27 col12\" >8</td>\n",
              "      <td id=\"T_8c26d_row27_col13\" class=\"data row27 col13\" >9</td>\n",
              "      <td id=\"T_8c26d_row27_col14\" class=\"data row27 col14\" >-7</td>\n",
              "      <td id=\"T_8c26d_row27_col15\" class=\"data row27 col15\" >-9</td>\n",
              "      <td id=\"T_8c26d_row27_col16\" class=\"data row27 col16\" >-1</td>\n",
              "      <td id=\"T_8c26d_row27_col17\" class=\"data row27 col17\" >1</td>\n",
              "      <td id=\"T_8c26d_row27_col18\" class=\"data row27 col18\" >-6</td>\n",
              "      <td id=\"T_8c26d_row27_col19\" class=\"data row27 col19\" >5</td>\n",
              "      <td id=\"T_8c26d_row27_col20\" class=\"data row27 col20\" >-10</td>\n",
              "      <td id=\"T_8c26d_row27_col21\" class=\"data row27 col21\" >0</td>\n",
              "      <td id=\"T_8c26d_row27_col22\" class=\"data row27 col22\" >-10</td>\n",
              "      <td id=\"T_8c26d_row27_col23\" class=\"data row27 col23\" >-2</td>\n",
              "      <td id=\"T_8c26d_row27_col24\" class=\"data row27 col24\" >5</td>\n",
              "      <td id=\"T_8c26d_row27_col25\" class=\"data row27 col25\" >3</td>\n",
              "      <td id=\"T_8c26d_row27_col26\" class=\"data row27 col26\" >-1</td>\n",
              "      <td id=\"T_8c26d_row27_col27\" class=\"data row27 col27\" >13</td>\n",
              "      <td id=\"T_8c26d_row27_col28\" class=\"data row27 col28\" >-7</td>\n",
              "      <td id=\"T_8c26d_row27_col29\" class=\"data row27 col29\" >7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
              "      <td id=\"T_8c26d_row28_col0\" class=\"data row28 col0\" >5</td>\n",
              "      <td id=\"T_8c26d_row28_col1\" class=\"data row28 col1\" >4</td>\n",
              "      <td id=\"T_8c26d_row28_col2\" class=\"data row28 col2\" >0</td>\n",
              "      <td id=\"T_8c26d_row28_col3\" class=\"data row28 col3\" >-4</td>\n",
              "      <td id=\"T_8c26d_row28_col4\" class=\"data row28 col4\" >-3</td>\n",
              "      <td id=\"T_8c26d_row28_col5\" class=\"data row28 col5\" >-9</td>\n",
              "      <td id=\"T_8c26d_row28_col6\" class=\"data row28 col6\" >10</td>\n",
              "      <td id=\"T_8c26d_row28_col7\" class=\"data row28 col7\" >-12</td>\n",
              "      <td id=\"T_8c26d_row28_col8\" class=\"data row28 col8\" >-5</td>\n",
              "      <td id=\"T_8c26d_row28_col9\" class=\"data row28 col9\" >9</td>\n",
              "      <td id=\"T_8c26d_row28_col10\" class=\"data row28 col10\" >-9</td>\n",
              "      <td id=\"T_8c26d_row28_col11\" class=\"data row28 col11\" >-2</td>\n",
              "      <td id=\"T_8c26d_row28_col12\" class=\"data row28 col12\" >-2</td>\n",
              "      <td id=\"T_8c26d_row28_col13\" class=\"data row28 col13\" >5</td>\n",
              "      <td id=\"T_8c26d_row28_col14\" class=\"data row28 col14\" >0</td>\n",
              "      <td id=\"T_8c26d_row28_col15\" class=\"data row28 col15\" >-1</td>\n",
              "      <td id=\"T_8c26d_row28_col16\" class=\"data row28 col16\" >-9</td>\n",
              "      <td id=\"T_8c26d_row28_col17\" class=\"data row28 col17\" >-7</td>\n",
              "      <td id=\"T_8c26d_row28_col18\" class=\"data row28 col18\" >12</td>\n",
              "      <td id=\"T_8c26d_row28_col19\" class=\"data row28 col19\" >1</td>\n",
              "      <td id=\"T_8c26d_row28_col20\" class=\"data row28 col20\" >13</td>\n",
              "      <td id=\"T_8c26d_row28_col21\" class=\"data row28 col21\" >-1</td>\n",
              "      <td id=\"T_8c26d_row28_col22\" class=\"data row28 col22\" >9</td>\n",
              "      <td id=\"T_8c26d_row28_col23\" class=\"data row28 col23\" >9</td>\n",
              "      <td id=\"T_8c26d_row28_col24\" class=\"data row28 col24\" >13</td>\n",
              "      <td id=\"T_8c26d_row28_col25\" class=\"data row28 col25\" >-2</td>\n",
              "      <td id=\"T_8c26d_row28_col26\" class=\"data row28 col26\" >1</td>\n",
              "      <td id=\"T_8c26d_row28_col27\" class=\"data row28 col27\" >4</td>\n",
              "      <td id=\"T_8c26d_row28_col28\" class=\"data row28 col28\" >-5</td>\n",
              "      <td id=\"T_8c26d_row28_col29\" class=\"data row28 col29\" >13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_8c26d_level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
              "      <td id=\"T_8c26d_row29_col0\" class=\"data row29 col0\" >-10</td>\n",
              "      <td id=\"T_8c26d_row29_col1\" class=\"data row29 col1\" >8</td>\n",
              "      <td id=\"T_8c26d_row29_col2\" class=\"data row29 col2\" >0</td>\n",
              "      <td id=\"T_8c26d_row29_col3\" class=\"data row29 col3\" >-9</td>\n",
              "      <td id=\"T_8c26d_row29_col4\" class=\"data row29 col4\" >3</td>\n",
              "      <td id=\"T_8c26d_row29_col5\" class=\"data row29 col5\" >0</td>\n",
              "      <td id=\"T_8c26d_row29_col6\" class=\"data row29 col6\" >4</td>\n",
              "      <td id=\"T_8c26d_row29_col7\" class=\"data row29 col7\" >-3</td>\n",
              "      <td id=\"T_8c26d_row29_col8\" class=\"data row29 col8\" >-2</td>\n",
              "      <td id=\"T_8c26d_row29_col9\" class=\"data row29 col9\" >-2</td>\n",
              "      <td id=\"T_8c26d_row29_col10\" class=\"data row29 col10\" >-4</td>\n",
              "      <td id=\"T_8c26d_row29_col11\" class=\"data row29 col11\" >-5</td>\n",
              "      <td id=\"T_8c26d_row29_col12\" class=\"data row29 col12\" >-8</td>\n",
              "      <td id=\"T_8c26d_row29_col13\" class=\"data row29 col13\" >13</td>\n",
              "      <td id=\"T_8c26d_row29_col14\" class=\"data row29 col14\" >13</td>\n",
              "      <td id=\"T_8c26d_row29_col15\" class=\"data row29 col15\" >13</td>\n",
              "      <td id=\"T_8c26d_row29_col16\" class=\"data row29 col16\" >-3</td>\n",
              "      <td id=\"T_8c26d_row29_col17\" class=\"data row29 col17\" >12</td>\n",
              "      <td id=\"T_8c26d_row29_col18\" class=\"data row29 col18\" >3</td>\n",
              "      <td id=\"T_8c26d_row29_col19\" class=\"data row29 col19\" >14</td>\n",
              "      <td id=\"T_8c26d_row29_col20\" class=\"data row29 col20\" >7</td>\n",
              "      <td id=\"T_8c26d_row29_col21\" class=\"data row29 col21\" >3</td>\n",
              "      <td id=\"T_8c26d_row29_col22\" class=\"data row29 col22\" >9</td>\n",
              "      <td id=\"T_8c26d_row29_col23\" class=\"data row29 col23\" >7</td>\n",
              "      <td id=\"T_8c26d_row29_col24\" class=\"data row29 col24\" >2</td>\n",
              "      <td id=\"T_8c26d_row29_col25\" class=\"data row29 col25\" >3</td>\n",
              "      <td id=\"T_8c26d_row29_col26\" class=\"data row29 col26\" >-9</td>\n",
              "      <td id=\"T_8c26d_row29_col27\" class=\"data row29 col27\" >-9</td>\n",
              "      <td id=\"T_8c26d_row29_col28\" class=\"data row29 col28\" >-8</td>\n",
              "      <td id=\"T_8c26d_row29_col29\" class=\"data row29 col29\" >0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from tabulate import tabulate\n",
        "def print_array_with_highlight(array, highlight_index):\n",
        "    # Print the array\n",
        "    for i, row in enumerate(array):\n",
        "        for j, num in enumerate(row):\n",
        "            if (i, j) == highlight_index:\n",
        "                # Highlight the specified element in red\n",
        "                print('\\033[91m{}\\033[0m'.format(num), end=' ')\n",
        "            else:\n",
        "                print(num, end=' ')\n",
        "        print()\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]\n",
        "highlight_index = (0, 0)\n",
        "highlight_index = (1, 0)\n",
        "print_array_with_highlight(Grid, highlight_index)\n",
        "table = tabulate(Grid)\n",
        "\n",
        "# Print the formatted table\n",
        "print(Grid)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W_vyyWr6jOS2",
        "outputId": "8eee814c-0506-4350-b09e-778b5416c5a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "-5 -4 6 0 14 -4 -2 6 14 2 12 6 3 -1 -10 -4 -10 8 4 -4 -5 -10 2 -3 10 -2 -8 -1 7 25 \n",
            "\u001b[91m10\u001b[0m -2 9 7 11 -3 11 14 5 12 -9 4 -9 3 -7 0 4 4 -2 8 -1 -4 2 7 2 13 10 1 -9 -10 \n",
            "4 -2 -9 10 -7 4 -6 14 7 3 -1 6 12 -4 -2 -3 -3 -2 -4 -4 -8 0 -7 0 8 -10 14 6 -1 3 \n",
            "-3 -7 4 7 10 9 4 6 3 1 0 14 -3 10 3 8 8 4 -8 -5 2 4 10 7 -6 1 5 -8 5 10 \n",
            "-7 -4 -7 6 6 -9 13 14 2 -10 2 3 -8 4 14 8 -2 -3 -5 -9 9 -1 9 4 14 -4 12 1 13 2 \n",
            "-3 -9 9 2 0 -9 -2 14 5 0 -1 7 -2 -3 3 -6 1 3 -3 -5 4 8 -7 11 -4 0 -9 -9 0 -3 \n",
            "-4 9 3 -2 12 7 6 -2 1 1 -5 10 -2 0 1 8 0 -3 13 8 1 -7 -3 -7 -4 10 11 8 0 9 \n",
            "14 7 14 10 2 14 5 -3 -9 5 9 4 -10 8 11 4 1 12 -5 -2 9 -7 -10 5 6 1 1 0 -8 3 \n",
            "13 -10 0 -7 9 10 -9 12 14 -6 -5 -9 -9 4 0 7 11 -4 -2 9 1 8 4 5 -7 11 7 4 8 3 \n",
            "-6 -9 6 6 -2 0 3 -1 10 0 -2 -9 -4 1 8 3 -4 8 -9 7 1 -9 -10 -9 -8 -2 -4 10 -4 1 \n",
            "13 10 -4 -4 8 -5 9 -9 -3 -8 -8 3 -7 7 -2 -6 5 8 -5 5 11 4 -8 13 12 -7 -3 10 10 -2 \n",
            "-3 -5 3 8 7 9 10 14 -5 9 -9 2 5 9 -1 5 -5 12 5 14 -1 -4 4 -10 -6 -10 4 8 6 12 \n",
            "-9 7 -4 13 2 -3 1 5 -7 12 13 3 -6 12 9 -2 -9 14 -3 8 3 0 11 7 9 11 -6 9 -10 -5 \n",
            "11 -5 -3 9 -9 4 14 11 -6 1 9 10 8 5 -6 3 13 1 9 -1 -1 -7 -7 11 -8 11 -7 2 -10 -1 \n",
            "10 -9 14 10 6 2 -4 2 -4 -8 -2 7 -7 -4 -9 -5 -1 -2 10 4 9 -4 1 2 2 -5 -8 -9 8 12 \n",
            "0 -5 3 -1 -2 7 -4 -4 1 -8 8 12 7 11 11 -10 -10 -2 -9 12 0 7 6 6 -7 7 8 6 4 -5 \n",
            "8 -7 11 1 11 2 0 13 3 0 0 -7 4 5 -2 -8 12 14 4 -4 14 11 -3 -6 -2 -2 -4 -8 1 8 \n",
            "2 8 14 -4 -3 12 -1 -9 9 7 -8 14 1 5 12 -9 14 12 -3 12 -4 -4 -5 2 13 8 10 14 3 -7 \n",
            "-1 0 -6 -8 -10 -5 -2 4 11 -7 -10 5 -9 -2 7 -5 -8 8 8 -9 -7 0 3 -9 -6 9 5 -1 -1 -8 \n",
            "13 -5 7 4 8 -5 -3 5 -9 -1 -5 5 3 -3 8 12 -3 6 9 8 14 -1 8 -1 8 8 5 7 -5 13 \n",
            "-6 0 3 -1 7 1 4 7 0 10 3 5 0 -1 -2 7 11 -8 -7 -7 -8 -10 10 -4 4 4 3 -1 -7 -8 \n",
            "9 -3 -2 -2 1 -7 4 5 8 -10 6 12 7 -5 -6 -1 1 9 -1 -1 -4 7 10 5 0 -3 -10 -8 9 2 \n",
            "-2 -6 8 11 4 1 2 -5 4 8 7 4 6 0 -4 -6 5 -1 2 1 6 8 6 -5 5 -2 1 -1 -5 -3 \n",
            "-7 5 0 -8 10 4 14 10 14 2 14 -9 -9 -10 -8 -6 8 2 -9 6 -6 14 0 -2 -9 -1 1 3 9 -4 \n",
            "-2 -3 -6 -1 1 5 11 10 3 -9 1 3 -3 5 -6 8 -5 -8 -1 14 1 6 1 6 9 8 2 6 0 -4 \n",
            "-8 1 2 -5 -7 -5 8 -8 -3 -4 5 3 0 -5 4 -8 3 -8 -7 1 -4 5 7 4 13 -4 -5 7 6 10 \n",
            "8 2 0 6 -1 11 -1 7 4 0 -10 5 -3 -6 11 8 6 10 13 11 -6 -4 -2 -4 14 5 14 9 12 0 \n",
            "-6 -2 8 -5 -4 -10 1 4 -10 13 0 3 8 9 -7 -9 -1 1 -6 5 -10 0 -10 -2 5 3 -1 13 -7 7 \n",
            "5 4 0 -4 -3 -9 10 -12 -5 9 -9 -2 -2 5 0 -1 -9 -7 12 1 13 -1 9 9 13 -2 1 4 -5 13 \n",
            "-10 8 0 -9 3 0 4 -3 -2 -2 -4 -5 -8 13 13 13 -3 12 3 14 7 3 9 7 2 3 -9 -9 -8 0 \n",
            "[[ -5  -4   6   0  14  -4  -2   6  14   2  12   6   3  -1 -10  -4 -10   8\n",
            "    4  -4  -5 -10   2  -3  10  -2  -8  -1   7  25]\n",
            " [ 10  -2   9   7  11  -3  11  14   5  12  -9   4  -9   3  -7   0   4   4\n",
            "   -2   8  -1  -4   2   7   2  13  10   1  -9 -10]\n",
            " [  4  -2  -9  10  -7   4  -6  14   7   3  -1   6  12  -4  -2  -3  -3  -2\n",
            "   -4  -4  -8   0  -7   0   8 -10  14   6  -1   3]\n",
            " [ -3  -7   4   7  10   9   4   6   3   1   0  14  -3  10   3   8   8   4\n",
            "   -8  -5   2   4  10   7  -6   1   5  -8   5  10]\n",
            " [ -7  -4  -7   6   6  -9  13  14   2 -10   2   3  -8   4  14   8  -2  -3\n",
            "   -5  -9   9  -1   9   4  14  -4  12   1  13   2]\n",
            " [ -3  -9   9   2   0  -9  -2  14   5   0  -1   7  -2  -3   3  -6   1   3\n",
            "   -3  -5   4   8  -7  11  -4   0  -9  -9   0  -3]\n",
            " [ -4   9   3  -2  12   7   6  -2   1   1  -5  10  -2   0   1   8   0  -3\n",
            "   13   8   1  -7  -3  -7  -4  10  11   8   0   9]\n",
            " [ 14   7  14  10   2  14   5  -3  -9   5   9   4 -10   8  11   4   1  12\n",
            "   -5  -2   9  -7 -10   5   6   1   1   0  -8   3]\n",
            " [ 13 -10   0  -7   9  10  -9  12  14  -6  -5  -9  -9   4   0   7  11  -4\n",
            "   -2   9   1   8   4   5  -7  11   7   4   8   3]\n",
            " [ -6  -9   6   6  -2   0   3  -1  10   0  -2  -9  -4   1   8   3  -4   8\n",
            "   -9   7   1  -9 -10  -9  -8  -2  -4  10  -4   1]\n",
            " [ 13  10  -4  -4   8  -5   9  -9  -3  -8  -8   3  -7   7  -2  -6   5   8\n",
            "   -5   5  11   4  -8  13  12  -7  -3  10  10  -2]\n",
            " [ -3  -5   3   8   7   9  10  14  -5   9  -9   2   5   9  -1   5  -5  12\n",
            "    5  14  -1  -4   4 -10  -6 -10   4   8   6  12]\n",
            " [ -9   7  -4  13   2  -3   1   5  -7  12  13   3  -6  12   9  -2  -9  14\n",
            "   -3   8   3   0  11   7   9  11  -6   9 -10  -5]\n",
            " [ 11  -5  -3   9  -9   4  14  11  -6   1   9  10   8   5  -6   3  13   1\n",
            "    9  -1  -1  -7  -7  11  -8  11  -7   2 -10  -1]\n",
            " [ 10  -9  14  10   6   2  -4   2  -4  -8  -2   7  -7  -4  -9  -5  -1  -2\n",
            "   10   4   9  -4   1   2   2  -5  -8  -9   8  12]\n",
            " [  0  -5   3  -1  -2   7  -4  -4   1  -8   8  12   7  11  11 -10 -10  -2\n",
            "   -9  12   0   7   6   6  -7   7   8   6   4  -5]\n",
            " [  8  -7  11   1  11   2   0  13   3   0   0  -7   4   5  -2  -8  12  14\n",
            "    4  -4  14  11  -3  -6  -2  -2  -4  -8   1   8]\n",
            " [  2   8  14  -4  -3  12  -1  -9   9   7  -8  14   1   5  12  -9  14  12\n",
            "   -3  12  -4  -4  -5   2  13   8  10  14   3  -7]\n",
            " [ -1   0  -6  -8 -10  -5  -2   4  11  -7 -10   5  -9  -2   7  -5  -8   8\n",
            "    8  -9  -7   0   3  -9  -6   9   5  -1  -1  -8]\n",
            " [ 13  -5   7   4   8  -5  -3   5  -9  -1  -5   5   3  -3   8  12  -3   6\n",
            "    9   8  14  -1   8  -1   8   8   5   7  -5  13]\n",
            " [ -6   0   3  -1   7   1   4   7   0  10   3   5   0  -1  -2   7  11  -8\n",
            "   -7  -7  -8 -10  10  -4   4   4   3  -1  -7  -8]\n",
            " [  9  -3  -2  -2   1  -7   4   5   8 -10   6  12   7  -5  -6  -1   1   9\n",
            "   -1  -1  -4   7  10   5   0  -3 -10  -8   9   2]\n",
            " [ -2  -6   8  11   4   1   2  -5   4   8   7   4   6   0  -4  -6   5  -1\n",
            "    2   1   6   8   6  -5   5  -2   1  -1  -5  -3]\n",
            " [ -7   5   0  -8  10   4  14  10  14   2  14  -9  -9 -10  -8  -6   8   2\n",
            "   -9   6  -6  14   0  -2  -9  -1   1   3   9  -4]\n",
            " [ -2  -3  -6  -1   1   5  11  10   3  -9   1   3  -3   5  -6   8  -5  -8\n",
            "   -1  14   1   6   1   6   9   8   2   6   0  -4]\n",
            " [ -8   1   2  -5  -7  -5   8  -8  -3  -4   5   3   0  -5   4  -8   3  -8\n",
            "   -7   1  -4   5   7   4  13  -4  -5   7   6  10]\n",
            " [  8   2   0   6  -1  11  -1   7   4   0 -10   5  -3  -6  11   8   6  10\n",
            "   13  11  -6  -4  -2  -4  14   5  14   9  12   0]\n",
            " [ -6  -2   8  -5  -4 -10   1   4 -10  13   0   3   8   9  -7  -9  -1   1\n",
            "   -6   5 -10   0 -10  -2   5   3  -1  13  -7   7]\n",
            " [  5   4   0  -4  -3  -9  10 -12  -5   9  -9  -2  -2   5   0  -1  -9  -7\n",
            "   12   1  13  -1   9   9  13  -2   1   4  -5  13]\n",
            " [-10   8   0  -9   3   0   4  -3  -2  -2  -4  -5  -8  13  13  13  -3  12\n",
            "    3  14   7   3   9   7   2   3  -9  -9  -8   0]]\n"
          ]
        }
      ]
    }
  ]
}