test_GHC.ipynb

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    "colab": {
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      "collapsed_sections": [
        "G3Vy1_-RdKzZ",
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      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Test GHC"
      ],
      "metadata": {
        "id": "G3Vy1_-RdKzZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# prompt: round those random values to 2 decial points\n",
        "\n",
        "import numpy as np\n",
        "\n",
        "\n",
        "# Define the shape of the array\n",
        "shape = (10, 10, 10, 44)\n",
        "\n",
        "# Create the array with random values between -1 and 1\n",
        "random_array = 1.98 * np.random.rand(*shape) - 0.99\n",
        "\n",
        "# Round the values to 2 decimal points\n",
        "rounded_array = np.round(random_array, 2)\n",
        "\n",
        "# print(rounded_array)\n"
      ],
      "metadata": {
        "id": "kFfiLAw2ymWq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sample = np.array(rounded_array)\n",
        "params = sample[0][0][0].shape[0]\n",
        "sample = sample.reshape(10,10,10,params)\n",
        "height, width = sample.shape[1]-1, sample.shape[2]-1\n",
        "length_sim = sample.shape[0]\n",
        "\n",
        "import random\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import os\n",
        "output_folder = \"gd_ghc_frames_png\"\n",
        "output_folder2 = \"gd_ghc_frames_pdf\"\n",
        "\n",
        "# Make sure the output folder exists\n",
        "if not os.path.exists(output_folder):\n",
        "    os.makedirs(output_folder)\n",
        "if not os.path.exists(output_folder2):\n",
        "    os.makedirs(output_folder2)\n",
        "# sample[8][0] # weights of the NN at different time steps\n",
        "# fig, ax = plt.subplots()\n",
        "\n",
        "counts_per_frame = []\n",
        "for i in range(length_sim):\n",
        "  # Function to hash a 44-bit gene sequence to 24 bits using Python's built-in hash function\n",
        "  def hash_gene_sequence(gene_sequence):\n",
        "      return [int(hash(value) % 2) for value in gene_sequence]\n",
        "\n",
        "  # Function to convert a 24-bit sequence to three 8-bit values\n",
        "  def split_to_rgb(sequence):\n",
        "      r = int(''.join(map(str, sequence[:8])), 2)\n",
        "      g = int(''.join(map(str, sequence[8:16])), 2)\n",
        "      b = int(''.join(map(str, sequence[16:24])), 2)\n",
        "      return r, g, b\n",
        "\n",
        "  # Create an empty grid to store the RGB values for each cell\n",
        "  grid = np.zeros((height, width, 3), dtype=np.uint8)\n",
        "\n",
        "  # Populate the grid with color-coded gene sequences\n",
        "  for row in range(height):\n",
        "      for col in range(width):\n",
        "          gene_sequence = sample[i][row][col]\n",
        "          gene_sequence = gene_sequence.tolist()\n",
        "          hashed_sequence = hash_gene_sequence(gene_sequence)\n",
        "          r, g, b = split_to_rgb(hashed_sequence)\n",
        "          grid[row, col] = [r, g, b]\n",
        "  frame_filename = os.path.join(output_folder2, f\"{i + 1:07d}.pdf\")\n",
        "  fig = plt.figure()\n",
        "  im = plt.imshow(grid,interpolation='none',cmap='jet')\n",
        "  # Count unique RGB colors\n",
        "  flattened_data = grid.reshape(-1, 3)\n",
        "  print(\"flattened_data\")\n",
        "  print(flattened_data)\n",
        "  unique_colors, counts = np.unique(flattened_data, axis=0, return_counts=True)\n",
        "  print(\"unique_colors\")\n",
        "  print(unique_colors)\n",
        "  unique_colors_count = len(unique_colors)\n",
        "  # Store the count of unique RGB colors for this frame\n",
        "  counts_per_frame.append(unique_colors_count)\n",
        "  plt.title(f'Generation {i + 1}')\n",
        "#   cax = fig.add_axes([0.08, 0.94, 0.15, 0.02])\n",
        "#   colorbar = fig.colorbar(im, cax=cax, orientation='horizontal', shrink=0.7)\n",
        "#   min_value = np.min(grid)\n",
        "#   max_value = np.max(grid)\n",
        "#   mid_value = (min_value + max_value) / 2\n",
        "#   ticks = [min_value, (min_value + mid_value) / 2, mid_value, (mid_value + max_value) / 2, max_value]  # Include midpoints\n",
        "#   rounded_ticks = [round(value) for value in ticks]\n",
        "#   ticks = rounded_ticks\n",
        "#   colorbar.set_ticks(ticks)\n",
        "#   colorbar.ax.tick_params(axis='x', labelsize=6)\n",
        "  # plt.axis('off')\n",
        "  plt.savefig(frame_filename,format='pdf',dpi=600)\n",
        "  frame_filename = os.path.join(output_folder, f\"{i + 1:07d}.png\")\n",
        "  plt.savefig(frame_filename,format='png',dpi=600)\n",
        "  plt.close()"
      ],
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          "base_uri": "https://localhost:8080/"
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        "outputId": "fc7ef1a8-1df6-4ab6-e3c2-288feabfe5b6"
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      "execution_count": null,
      "outputs": [
        {
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "hJDnQHM4y7kp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Test HASH Function"
      ],
      "metadata": {
        "id": "-rDrOALBdN2O"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import random\n",
        "perturbation_probability = 0.20\n",
        "total_runs = 1000\n",
        "def hash_gene_sequence(gene_sequence):\n",
        "    return [int(hash(value) % 2) for value in gene_sequence]\n",
        "\n",
        "def round_list(lst):\n",
        "  return [round(x,2) for x in lst]\n",
        "\n",
        "def generate_random44_data():\n",
        "  genes_list = []\n",
        "  for i in range(44):\n",
        "    genes_list.append((2 * round(random.random(),2) - 1))\n",
        "  genes_list = round_list(genes_list)\n",
        "  return genes_list\n",
        "\n",
        "def inherit_and_mutate(parent_list):\n",
        "  # 20% perturbation\n",
        "  perturbed_list = []\n",
        "  for i in range(44):\n",
        "    if(random.random()<perturbation_probability):\n",
        "      perturbed_list.append(parent_list[i] + (2 * round(random.random(),2) - 1))\n",
        "    else:\n",
        "      perturbed_list.append(parent_list[i])\n",
        "  perturbed_list = round_list(perturbed_list)\n",
        "  return perturbed_list\n",
        "\n",
        "def compare_lists(list1, list2):\n",
        "    return \"same\" if list1 == list2 else \"Not Same\"\n",
        "\n",
        "countersame = 0\n",
        "counternotsame = 0\n",
        "for i in range(total_runs):\n",
        "  list1 = generate_random44_data()\n",
        "  list2 = inherit_and_mutate(list1)\n",
        "  hl1 = hash_gene_sequence(list1)\n",
        "  hl2 = hash_gene_sequence(list2)\n",
        "  if(compare_lists(hl1,hl2) == 'same'):\n",
        "    countersame = countersame + 1\n",
        "  else:\n",
        "    counternotsame = counternotsame + 1\n",
        "\n",
        "print(\"Same: \", countersame)\n",
        "print(\"Not Same: \", counternotsame)"
      ],
      "metadata": {
        "id": "g3pIMtEJdP4Q",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dde44f59-eb62-45ac-a2dd-81d74d6ce129"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Same:  109\n",
            "Not Same:  891\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Larger Experiments for GHC Test"
      ],
      "metadata": {
        "id": "tLoms9UxYein"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import random\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.mplot3d import Axes3D\n",
        "import numpy as np\n",
        "\n",
        "def hash_gene_sequence(gene_sequence):\n",
        "    return [int(hash(value) % 2) for value in gene_sequence]\n",
        "\n",
        "def round_list(lst):\n",
        "    return [round(x, 2) for x in lst]\n",
        "\n",
        "def generate_random44_data():\n",
        "    genes_list = []\n",
        "    for i in range(44):\n",
        "        genes_list.append((2 * round(random.random(), 2) - 1))\n",
        "    genes_list = round_list(genes_list)\n",
        "    return genes_list\n",
        "\n",
        "def inherit_and_mutate(parent_list, perturbation_probability):\n",
        "    perturbed_list = []\n",
        "    for i in range(44):\n",
        "        if random.random() < perturbation_probability:\n",
        "            perturbed_list.append(parent_list[i] + (2 * round(random.random(), 2) - 1))\n",
        "        else:\n",
        "            perturbed_list.append(parent_list[i])\n",
        "    perturbed_list = round_list(perturbed_list)\n",
        "    return perturbed_list\n",
        "\n",
        "def compare_lists(list1, list2):\n",
        "    return \"same\" if list1 == list2 else \"Not Same\"\n",
        "\n",
        "# Parameters\n",
        "perturbation_probabilities = np.arange(0.1, 0.9, 0.1)  # Example: [0.1, 0.2, 0.3, 0.4, 0.5]\n",
        "total_runs_list = [500, 1000, 1500, 2000, 2500, 3000, 3500, 4000, 4500, 5000]  # Example: [500, 1000, 1500, 2000]\n",
        "\n",
        "# Collect data for the plot\n",
        "data = []\n",
        "\n",
        "for perturbation_probability in perturbation_probabilities:\n",
        "    for total_runs in total_runs_list:\n",
        "        countersame = 0\n",
        "        for i in range(total_runs):\n",
        "            list1 = generate_random44_data()\n",
        "            list2 = inherit_and_mutate(list1, perturbation_probability)\n",
        "            hl1 = hash_gene_sequence(list1)\n",
        "            hl2 = hash_gene_sequence(list2)\n",
        "            if compare_lists(hl1, hl2) == 'same':\n",
        "                countersame += 1\n",
        "        data.append((total_runs, perturbation_probability, countersame))\n",
        "\n",
        "# Prepare data for plotting\n",
        "total_runs, perturbation_probabilities, collisions = zip(*data)\n",
        "\n",
        "# Convert to numpy arrays for easier handling\n",
        "total_runs = np.array(total_runs)\n",
        "perturbation_probabilities = np.array(perturbation_probabilities)\n",
        "collisions = np.array(collisions)\n",
        "\n",
        "# Plotting the results\n",
        "fig = plt.figure()\n",
        "ax = fig.add_subplot(111, projection='3d')\n",
        "\n",
        "# Scatter plot\n",
        "sc = ax.scatter(total_runs, perturbation_probabilities, collisions, c=collisions, cmap='viridis', marker='o', s=10)\n",
        "# fig.colorbar(sc, ax=ax, label='Number of Collisions')\n",
        "\n",
        "# Labels\n",
        "ax.set_xlabel('Total Runs')\n",
        "ax.set_ylabel('Perturbation Probability')\n",
        "ax.set_zlabel('Collisions')\n",
        "\n",
        "# Set perspective for better readability\n",
        "ax.view_init(elev=30, azim=30)\n",
        "\n",
        "# Adding annotations for better readability\n",
        "for i in range(len(total_runs)):\n",
        "    ax.text(total_runs[i], perturbation_probabilities[i], collisions[i], '%d' % collisions[i], size=5, zorder=1, color='black')\n",
        "plt.savefig(\"figure12_ghc_test.pdf\", format='pdf', dpi=600)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "id": "Q4a40n0BYgpO",
        "outputId": "21214ea3-2c82-46ba-c5c6-27816a814a45"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import random\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "def hash_gene_sequence(gene_sequence):\n",
        "    return [int(hash(value) % 2) for value in gene_sequence]\n",
        "\n",
        "def round_list(lst):\n",
        "    return [round(x, 2) for x in lst]\n",
        "\n",
        "def generate_random44_data():\n",
        "    genes_list = []\n",
        "    for i in range(44):\n",
        "        genes_list.append((2 * round(random.random(), 2) - 1))\n",
        "    genes_list = round_list(genes_list)\n",
        "    return genes_list\n",
        "\n",
        "def inherit_and_mutate(parent_list, perturbation_probability):\n",
        "    perturbed_list = []\n",
        "    for i in range(44):\n",
        "        if random.random() < perturbation_probability:\n",
        "            perturbed_list.append(parent_list[i] + (2 * round(random.random(), 2) - 1))\n",
        "        else:\n",
        "            perturbed_list.append(parent_list[i])\n",
        "    perturbed_list = round_list(perturbed_list)\n",
        "    return perturbed_list\n",
        "\n",
        "def compare_lists(list1, list2):\n",
        "    return \"same\" if list1 == list2 else \"Not Same\"\n",
        "\n",
        "# Parameters\n",
        "perturbation_probabilities = np.round(np.arange(0.1, 0.9, 0.1), 1)\n",
        "total_runs_list = [500, 1000, 1500, 2000, 2500, 3000, 3500, 4000, 4500, 5000]\n",
        "\n",
        "# Collect data for the plot\n",
        "data = []\n",
        "\n",
        "for perturbation_probability in perturbation_probabilities:\n",
        "    for total_runs in total_runs_list:\n",
        "        countersame = 0\n",
        "        for i in range(total_runs):\n",
        "            list1 = generate_random44_data()\n",
        "            list2 = inherit_and_mutate(list1, perturbation_probability)\n",
        "            hl1 = hash_gene_sequence(list1)\n",
        "            hl2 = hash_gene_sequence(list2)\n",
        "            if compare_lists(hl1, hl2) == 'same':\n",
        "                countersame += 1\n",
        "        data.append((total_runs, perturbation_probability, countersame))\n",
        "\n",
        "# Convert data to a DataFrame\n",
        "df = pd.DataFrame(data, columns=['Total Runs', 'Perturbation Probability', 'Collisions'])\n",
        "\n",
        "# Pivot the DataFrame to get the format suitable for heatmap\n",
        "heatmap_data = df.pivot(index='Perturbation Probability', columns='Total Runs', values='Collisions')\n",
        "\n",
        "# Plotting the heatmap\n",
        "plt.figure(figsize=(12, 8))\n",
        "heatmap = sns.heatmap(heatmap_data, annot=True, fmt=\"d\", cmap='YlGnBu', cbar=True, annot_kws={\"size\": 8})\n",
        "plt.title('Heatmap of Collisions')\n",
        "plt.xlabel('Total Runs')\n",
        "plt.ylabel('Perturbation Probability')\n",
        "\n",
        "# Adjust the font size of the title and labels\n",
        "plt.title('Heatmap of Collisions', fontsize=16)\n",
        "plt.xlabel('Total Runs', fontsize=14)\n",
        "plt.ylabel('Perturbation Probability', fontsize=14)\n",
        "\n",
        "# Rotate x and y ticks for better readability\n",
        "plt.xticks(rotation=45)\n",
        "plt.yticks(rotation=0)\n",
        "plt.savefig(\"figure12_ghc_test.pdf\", format='pdf', dpi=600)\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 746
        },
        "id": "IYMhPx9Qey2M",
        "outputId": "e62f2578-df48-4510-d317-133d463540fe"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 2 Axes>"
            ],
            "image/png": 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/PIsXL6ZatWo0atQIPz8/9u3bx7Fjx+jXrx/Dhg275flatmzJ6NGjCQ0NpUmTJtbJlEaMGEH+/PnvyzXeS7yQkbzVqFGD6tWr06hRI/Lnz8+uXbs4efIknp6ezJkz55YzHN/OnDlzaNKkCYsXL6ZEiRI0aNCAlJQU1q1bR1xcHNWrV2fChAn2uHSrWrVqsXHjRlq3bs1vv/3GkiVLqFatGiVLlsRsNnP69Gl2795NWloaJUuWtN7PDDBx4kSOHj3Kjh07KFWqFI0bN8bZ2ZkNGzZw6dIlSpQowezZs+0a701Xr16la9euvPnmm1StWtU6SdSJEyfYu3cvJpOJUaNG4eTk9K/H6t69O1u3bmXmzJnUrFmThg0bUrBgQfbs2cOxY8fw8PBgzpw5FChQ4J7j3rBhA+PGjcPf359q1apRsGBBrl27xvbt24mKiqJw4cJ89NFH93weERHJeZS4iohkU+vWralVqxbjx49n1apVbNmyhbS0NAICAnjkkUfo0aOH9d7Cm37++WfGjRvHjBkz2Lx5M+7u7tSsWZPx48dTunTp2yaCn376KWazmQULFrBo0SKSk5MB6N+//31LXO8lXshYKmXevHmMHDmSmTNnsnHjRjw9PWnZsiVDhgy56+VZSpYsyZ49exg9ejSLFi1iyZIlmM1mypYtS5s2bXjnnXfw8PC410vOolatWhw/fpyZM2eyePFi9uzZw6FDhzCZTBQqVIgXX3yRli1b0rJlS+uQbsiYiXfr1q2MHz+euXPnsnLlStLT0ylRogRdu3blgw8+wNfX1+7xQsZMv2PHjmXDhg0cPHiQ33//HYvFQuHChenQoQPvvPMONWrUsOlYJpOJGTNm0Lx5cyZPnkxYWBgJCQkEBgbSqVMn+vTpQ9myZe0Sd6dOnfDw8GDz5s0cPnyYDRs24O3tTbFixXjvvffo1q3bfX29i4iI4zJZHHlKRxERyXHCw8MpUaIExYsXt07CJCIiInIvdI+riIiIiIiIODQlriIiIiIiIuLQlLiKiIiIiIiIQ9M9riIiIiIiIuLQ1OMqIiIiIiIiDk2Jq4iIiIiIiDg0Ja4iIiIiIiLi0JyNDsBRXEtZY3QIOcb5hOtGh5Aj7LrsYnQIOcKq8+5Gh5BjnIx2MjqEHOHsmTSjQ8gxnA9fNjqEHMFJ7WSThKvnjA4hx7ga96fRIeQI18/8aHQI2eZR7D+GnTsnt9udqMdVREREREREHJp6XEVEREREROzIZFL/oL2pRUVERERERMShKXEVERERERERh6ahwiIiIiIiInZkUv+g3alFRURERERExKGpx1VERERERMSONDmT/alFRURERERExKEpcRURERERERGHpqHCIiIiIiIidqShwvanFhURERERERGHph5XEREREREROzKZTEaHkOuox1VEREREREQcmnpcRURERERE7Er9g/amFhURERERERGHpsRVREREREREHJqGCouIiIiIiNiRlsOxP7WoiIiIiIiIODT1uIqIiIiIiNiRelztTy0qIiIiIiIiDk2Jq4iIiIiIiDg0DRUWERERERGxI5P6B+1OLSoiIiIiIiIOTT2uIiIiIiIidqTJmexPLSoiIiIiIiIOTT2uIiIiIiIidqQeV/tTi4qIiIiIiIhDU+IqIiIiIiIiDk1DhUVEREREROxIQ4XtTy0qIiIiIiIiDk09riIiIiIiInZkwmR0CLmOelxFRERERETEoTlk4jpx4kSCg4Nxd3cnJCSEnTt33rbuoUOHaNmyJcHBwZhMJsaOHfvgAhUREREREZH7zuGGCs+dO5devXoxadIkQkJCGDt2LM2aNePYsWMULFgwS/3ExERKlixJ69at6dmzpwERZ8+oz+axcf1+Ll6IZvb8vpQtVzTT9l8XbmPIgJmMHteNRk2rZtq2a8cx3uo6nvc+bEm79k0eYNTGGPT2t1yNvobZZMIjjxtd33+BkmWLMPmLhezadIioi1f5cmYvSpYpbN3nTttyu32rtrNk7Bxa93+NsnUqc+H4aVZOXkDyjSRMmAjt+iIlqpQBIPp8FEu/+okb8ddJTUnhkVoVCe38PCazQ/6mZRcp8fEcHTPG+jw9OZkbly9T44svsKSlcXLaNG5cuoTZ2Zngdu3wKpPRVienTyf+zz8xu7pidnOjeJs25A0ONugqHow6Ab50rVAcM+BkNjHnxHmWnYmiX/XSlPXJi8ViIdVi4ZtD4YRdigXAx9WFATXLUNjTnZT0dEbvO8kfV+KMvZAHoGFxXz6sUwIXJxPXU9Lpu/Y4Ry4nUCUgH580fARXJxNuzmZ+PhzJpLCzAAT7eDCscWnye7jgbDYxbsdpfjtxyeArsa+BbaoQWrkQRfw9eebT1Rw5F3vHcoCNw54iOTWdGylpAHyz/BhLd5/D1dnM+K4hlC6UjxvJaVy5lsSAOXs5fSnBkGuzpwHvPk6TusEUKZSP516dz5E/rwAw7Yun8c+fB0u6hfjEFIaO28LhE1cy7dvy6bJ83rcRb/RbwepN4QB83rcRFcv6Y0m3kJKazuhvd7It7PyDvqz74tO+T/Nko3IULezLEy0ncuhYRKbtbV6oxpdDX6LzO3NYvvYIAPOndaZIIR+uxd8AYN7ivXw3cxsAVR8tzKd9n8HN1Rk3N2fmLtzD19M2P9iLug+++KQjz4TWoHjRAoQ81Yf9h08DcHTLeJKSU7h+IxmA0V8vZv5v2wFo1rgqgz54GbPZhLOzE19+u4TZ8zcCUCC/F99/+SYlixckKTmVdz+eypadR425uBxCkzPZn8MlrmPGjKFr1668+uqrAEyaNImlS5cydepU+vTpk6V+rVq1qFWrFsAttzuqpk9Wo0PnJ3itwxdZtl04f4VF8zdTqUqJLNvir13nqy8XUbd+xQcRpkP48LMO5M3nAcC29QcYN+Qnxs3+gLpNKvPSfxvTt/uELPvcaVtuFhN5hX3Lt1K4XDAAFouFn4d+T4ue/6VktbJcOR/F7I8n8sa3H+Pi5srqqYsp+3gVaj/XkNTkFKa8N5qTVcrwSK3c+/pyyZuXSgMHWp9fXLmSuOPHcfb05K/p08lbogTl3n2X+PBwjn/9NVU/+wyzszN+VatSsn17TE5OXN2/nxPffku14cMNvJL7b2DNMvTYdICTcYkE5nFjTmgNNly4wvgDfxH/d1JR2tuT8fUe5emlO7AAbzwazKHoa7y/9RDlfPIy/LHytFqxmzSLxdiLuY+83ZwZ36w8refv43h0IrWDvBnfrDxPzN7N503LMGZbOKtOXcHbzZl1HWqx5tQVTkQnMuaJssw7HMFPhyLw83BhSdvq7LwQS2RCstGXZDfL9pxn8orjzPuwoU3lN7393Y5MyexNP206xfqDGYlK+0alGN6+Bu3GbLR/4A/Y8vWn+G7OH/w48flM5e8MWs21+IzXwxP1g/m8X2Oee3W+dXvhwLy8/Gw59h6MzLTfsK+2WverUDo/P4x9ltrP/kBueBsuWXmIr6duZtGM17JsKxLkwyutarJ735ks2waPXGZNZP9p1ODnGTVhLSvXH8XHy4ONv73Dqg3HOPFXzv4RacHSHYz55jfW/DI4y7b2b423JrL/NHXcWzR7+VMOHj1DsSL+/LH2CxYv20l8wg0+7fMfdu49wfMdPqdG5ZLM/a4X5eq+S2pq2gO4GpEMDvVTQHJyMmFhYYSGhlrLzGYzoaGhbNu2zcDI7K96zdIEBPpmKU9PT2fooFl82K8NLi5Zf1cYMWwuXbo3x9sn74MI0yHcTFoBEuOvYzJl3OxesVop/AN8brnPnbblVpb0dJaM+5Fmr7fC6e/XzvW4BBJj4ylZrSwA+QsXxN3Tg5O7M/54m0wmkhKuA5CSlEJ6Whp5/byMuQCDRG3eTIG6dQG4EhZGwYYZX6TzBgfj6uPDtePHAfCtWhWTk1PGthIlSLl6FUta7v6DbQHy/v1a8nR2Ii45heS0dGvSyj+239SksD+LTl0E4GhMPJevJ1PNP3e/pop7u3P1RgrHoxMB2HkhlqB8bjxaIKNX2ssto43yuDiRkmYh5kYKAOX987IuPBqA6OspHLkcT4syWUcW5WS7TlwmIua6zeV3kpyabk1aAfadukKR/HnuOUZHsOuPi0Tcouf4ZvIJkC+vK//MPE0mGNa7IUPGbiE5Je22++X1dL0PERtnR9hpLkZmHcVhMpn44pMX+PizpVna404sFvDycgcgTx4XklPSiIm9u9emI9qy8yjnI6Lvah+LxYK3V8Z7yitvHqJj4klKzvi8avnsY3w/azUAYfv/4mLkVeo/Vt6+QecyJpPZsEdu5VA9rpcvXyYtLY2AgIBM5QEBARw9ar/hCElJSSQlJWUqSzYn4+Zm/If77B/WUKVqKcpXLJZl2+qVezCbTTRsXJl1q/c9+OAM9OXgORwI+xOAgV92NTgax7R94TqKVihJodL/e+3k8c5LXj9vDm/aQ4X61blw/DRXzkUSE5Ux1OyJbi8x75PJhP2+mRvx16nXthmBpYre7hS5zrWTJ0lLTMS3cmVS4uOxpKXh6u1t3e6WPz9J0Vn/8EesXYt3pUrWRDa3GrjzKJ+FlOdGWhr5XJzpt+MIqX9/cX69YnGaBPmTz9WZj3ccxQJ4uTrjbDIRnZRiPcbFxBsE5HEHsvae5RanYq7j6+5CjUJehF2M44kS+cnn5kwRL3c+WHWM71s8ygePB5Pfw4W+a05wKTGjfQ5EXePFcgFMCjtLMS93ahTy5lzcDYOvxjF88WotTCb441Q0IxceJDo+ay90pyaPsOqPiwZE92CN/Lgxj1ULAuC1j5ZZyzu3qcyeA5EcOn75lvt90L02zRuXxCufGz36r8oVva130r3j4+zad4YDhy/ccnu/957gwx5NOfFXFJ+NXcWZc1cB6Nl/AdO+eoXebzfFz9eT3kN+5dKV+AcZ+gP3/ZdvYjLB7n0nGfD5j1yOvgZk9MT+NLkXiYk38PH2pG33L0lJScPPJy8uzk5EXvrf5/jpc5cpGuRv1CXIQ8qhEtcHZfjw4XzyySeZyvr0b0+/gR0NiijDnycusHb1Pr6b3ivLtsuXY5n67XK+nfbegw/MAfQc3A6AtUt3MWPCEgaOVfL6T1HhFzi69Q86jHg3y7aXB3RlzbTFbJm3igLFClG0YinMfydcYUs2UbFhdeq+/CQJMdeY2fcrgsoUo2S1cg/6EgxxafNm/B977K4S0MvbtxO9ezcVPvzwPkZmPCcTdCxbjH47jvDHlTjK+eRlRJ0KdFizh9jkVCYdOs2kQ6epWcCbNx8N5vUN+40O2TDXktN4/ffD9H68BJ4uToRFxHH8SgJp6RberFmMEVtPsfhYFMW83JnXqgr7o65xIjqRXiuP0r9BKZa1q8H5uBtsOXuV1HSjr8Z4bUdv4MLV6zibTbz/QkVGd6pF5wlbMtV5s3lZihfMy8djNhkU5YPz0bB1ALz4VBk+fD2Erh8to3QJX5o1LEm7Hr/edr/R3+5k9Lc7ebxGYT56I4S2by4mJZe+wMo+UpCnQyvwUqcpt9z+Tt/5XIjI6KV99T8hzJj4Xxo9/xUAPV5rwPCxq1j4+36KFfFlwfQu/HHwfI4fKnw7T7T+hLMXruDs7MTgD1/muzFv8GKnkTg5menz9ou07TaGLTuPUqNySX6e+gG1nuiNJbf/6nGf5OaeT6M4VOLq7++Pk5MTkZGZ79WIjIwkMDDQbufp27cvvXplTg6TzVtuU/vB2Rf2JxfOX+HFZwYBcOVyHMM+ucjlS3EEFvLl8qVY2rX6DICYqwlsXLefq9HXeOvd5+902FylyTO1+GbEfOJiE/Dy9jQ6HIdx9tBJYiOj+brrpwDEX41j6ZmfiI+OpcYz9Wn36ZvWut90H0aBYhnvp91LN/Hm5AEAePrk45GaFTi9/8+HInFNu3GDK7t382i/fkDGva8ms5nk2Fhrr2vSlSu4+flZ97myaxfnliyhfM+euHjl7uGvpb3z4u/hap1Y6WhMPJeuJ1HGOy+7LsVY6+2+FEseZydKeefhWEwCaRYLfm4u1l7XQnnciUzM/b2I287FsO1cDACuTibCXqtDZEISzUr502N5xtD8M3E32BtxjZqFvDgRnci5a0m8vvSw9Rgznq/ExuirRoTvUC5czRimmZpuYerqP1nz6ZOZtr/2RGmaVSvMf7/cZJ3A6WGwcPlxhnxQHx8vN2pVKUThQnlZ9WNbAAr4eTD0wwYUzJ+HOYsOZ9pva9h5BuZxoUxJv9v2zuZ0ITWKU7SwL1uWvgdAAf+8jBz0HAUL5GXG3F3WpBVg2o87GPBBM3y9PTCZTDzVtDxvfDgPgDPnrhL2x1lqVSuWaxPXsxcyRlylpqYxYcoy9q/PmKywSsVgCgX4WidcCtv/FxcuRlPl0WDWbjpAaloaAQW8rb2uxYv4c/ZC7nw9ieNyqMTV1dWVGjVqsGbNGl544QUg457PNWvW0KNHD7udx83NDTc3t0xl11KMHybcqm0DWrVtYH3erdOXtGvf2Dqr8MqNI6zbBn88gzLliuT6WYXjr10n6UYy+QtkJBLbNxwgn5cn+bxyx31N9lLjmfrUeKa+9fmMPuMJeb4RZetU5lp0LPn8Mtpvz/KtuLq7Evz3rMK+gf6cDDtM1SfrkHwjidP7TxDyYu5+Td10Zfdu8hQpgkehQtYyvxo1iNqwgSLPPUd8eDjJMTHk+3tW4Su7d3N28WLK9+yJW/78RoX9wEReT8LfzYXi+Tw4fe06hT3dKezpzpn4jH+fT8hIRsv75sXXzYULfz9fd/4yL5QoxNSjZyjnk5cCHq7svZz7ZxUumMeVqMSM4azv1C7OlnMxHLwUz/XUNB4v4sPWczH4ujtTNTAf3+05B4B/HheuJKZgARoU86V0/jwsWhJl4FUYz8PVCWcnM9euZ/zw8Vztohw+G2Pd3iW0NC1qFaX92E3WOrlVvryueLg5E3Ul497p0PrBxMTeICYuiTmLDmdKUGeNb8H0nw+welM4zk5mggLzcuZ8xvuucvkC5Pf14OyF3Ps+nDF3FzPm7rI+nz+tM9/P3MbytUdwcjLj6+PB5SsZ9xA/HVqBy1cSuBp7HbPZROL1ZOrWLsGWnafw88lD9cpFmDxjq1GXcl/l8XDDxcWJ2LiM19TLzz3OH4fCATh34QqBBX0o+0gQx/68QMniAZQoHsCJkxlDrxcs3cFr/w1l2Je/UKNySYIC/di0PetkVyL3k0MlrgC9evWiY8eO1KxZk9q1azN27FgSEhKsswx36NCBwoULM/zv2TyTk5M5fPiw9d/nz59n37595M2bl0ceecSw6/g3wz6Zw5aNB7lyOY63u00gj6c7i5Z98u87PmQS468zst8MkpNSMJlMePnmpf+YLphMJr4e/jO7txzhavQ1Br8zGQ9PN779JaP37E7bHjZ7l2/l4LrdWAD/IgG06v+adYKr53q9wvJv5rPz1w2kpaRRJuRRKjasbmzAD8ilzZspWL9+prJiLVvy55Qp7OvfH7OTE6U6d8bsnPExefL773Hx9ub4xInW+uV69cIlb+6cKO1qUgoj9v3Jp7XKkU7GTH5j/viLmOQUxtZ9lLwuTqSlW7iels7HO45y7e+er68PhTOwRhl+eqIGqenpDNl9PFfPKHzT+3WCqRXkjbPZxJ6LcXy06hjpFnjz98N8XK8kTmYTLmYTU/aeZ8/fvT+hJfLzZs1ipFksRMYn03HxAZLSctdQzqGvVKNxpUAKeLnzw7v1iL+RSpMBK25b7u/lztfdH8PJbMJkgjOXEnh/2m4AAn08+Lh1ZU5fimdOr4wfeZNT03np83VGXqJdfPpBfRrVKYa/Xx6mfvE0CYkpdHhvCeOHPIG7mxPpFoiOuU633sv/9VjOzmZGftyYfJ6upKWlk3gjlbcHrCLuFvcJ50QjBj5H0wZlKOiflzmTOxKfkETdp8fetr6rqxMzv26Pq4sz6RYL0VcT6PT2bADS0y28/v5cBrzfDCdnJ1yczXw3cxthf5x9QFdz/3w1vAvNm1QjoIAPv87sS3zCdZ7973B+nNQTJyczJhOcOhNFl55fAxB1OZYefb5n1tfvkp5uwWw20WvANGsPbf/hPzJl7Jsc2DCG5JQ0Xn13omYU/lcaKmxvJosDDlyfMGECo0aNIiIigqpVqzJ+/HhCQkIAaNSoEcHBwUyfPh2A8PBwSpTIumxMw4YNWb9+vc3nvJayxh6hPxTOJ+T82fYehF2XXYwOIUdYdd7d6BByjJPRuXsyKHs5e0ZfpmzlfFhD/WzhpHayScLVc0aHkGNcjfvT6BByhOtnfjQ6hGwLrNDXsHNHHM6dy/U5XI8rQI8ePW47NPj/J6PBwcG6aVxERERERByGJmeyP7WoiIiIiIiIODQlriIiIiIiIuLQHHKosIiIiIiISE6locL2pxYVERERERERh6YeVxERERERETsyqX/Q7tSiIiIiIiIi4tCUuIqIiIiIiIhD01BhERERERERO9LkTPanFhURERERERGHph5XEREREREROzKZTEaHkOuox1VEREREREQcmnpcRURERERE7Ej3uNqfWlREREREREQcmhJXERERERERcWgaKiwiIiIiImJHJvUP2p1aVERERERERByaelxFRERERETsSJMz2Z9aVERERERERByaElcRERERERFxaBoqLCIiIiIiYkcaKmx/alERERERERFxaOpxFRERERERsSMth2N/alEREREREZGH0MaNG2nRogVBQUGYTCYWLVp027qvv/46JpOJsWPHZiqPjo7mlVdewcvLCx8fH7p06UJ8fHymOvv376d+/fq4u7tTtGhRRo4cedexKnEVERERERGxJ5PZuMddSEhIoEqVKkycOPGO9RYuXMj27dsJCgrKsu2VV17h0KFDrFq1iiVLlrBx40a6detm3R4XF8eTTz5J8eLFCQsLY9SoUQwePJjJkyffVawaKiwiIiIiIvIQat68Oc2bN79jnfPnz/P222+zYsUKnnnmmUzbjhw5wvLly9m1axc1a9YE4KuvvuLpp59m9OjRBAUFMXv2bJKTk5k6dSqurq5UrFiRffv2MWbMmEwJ7r9Rj6uIiIiIiEgukZSURFxcXKZHUlJSto6Vnp5O+/bt+fDDD6lYsWKW7du2bcPHx8eatAKEhoZiNpvZsWOHtU6DBg1wdXW11mnWrBnHjh3j6tWrNseixFVERERERMSOTCazYY/hw4fj7e2d6TF8+PBsXceIESNwdnbmnXfeueX2iIgIChYsmKnM2dkZPz8/IiIirHUCAgIy1bn5/GYdW2iosIiIiIiISC7Rt29fevXqlanMzc3tro8TFhbGuHHj2LNnDyaTyV7hZZsSVxERERERETsyMtFzc3PLVqL6/23atImoqCiKFStmLUtLS+P9999n7NixhIeHExgYSFRUVKb9UlNTiY6OJjAwEIDAwEAiIyMz1bn5/GYdW2iosIiIiIiIiGTSvn179u/fz759+6yPoKAgPvzwQ1asWAFAnTp1iImJISwszLrf2rVrSU9PJyQkxFpn48aNpKSkWOusWrWKsmXL4uvra3M86nEVERERERF5CMXHx/Pnn39an586dYp9+/bh5+dHsWLFyJ8/f6b6Li4uBAYGUrZsWQDKly/PU089RdeuXZk0aRIpKSn06NGDtm3bWpfOadeuHZ988gldunShd+/eHDx4kHHjxvHll1/eVaxKXEVEREREROzIlEMGtu7evZvGjRtbn9+8N7Zjx45Mnz7dpmPMnj2bHj160LRpU8xmMy1btmT8+PHW7d7e3qxcuZK33nqLGjVq4O/vz8CBA+9qKRxQ4ioiIiIiIvJQatSoERaLxeb64eHhWcr8/PyYM2fOHferXLkymzZtutvwMlHi+rc8zgWMDiHHKJb3mtEh5AhBnteNDiFHeKZorNEh5BhxycbP6JcTxKidbGYy3fvkHQ+DyOtFjQ4hR4i+UdzoEHKMhNR6Rocg95nJlDN6XHMStaiIiIiIiIg4NPW4ioiIiIiI2JMDrHua26jHVURERERERByaElcRERERERFxaBoqLCIiIiIiYk/qHrQ7NamIiIiIiIg4NPW4ioiIiIiI2JMmZ7I79biKiIiIiIiIQ1PiKiIiIiIiIg5NQ4VFRERERETsSUOF7U49riIiIiIiIuLQ1OMqIiIiIiJiT+oetDs1qYiIiIiIiDg09biKiIiIiIjYkUX3uNqdelxFRERERETEoSlxFREREREREYemocIiIiIiIiL2pJHCdqceVxEREREREXFo6nEVERERERGxJ7O6XO1NPa4iIiIiIiLi0JS4ioiIiIiIiEPTUGERERERERF70jqudqceVxEREREREXFo6nEVERERERGxJ3W42p16XEVERERERMShqcdVRERERETEnrQcjt2px1VEREREREQcmhJXERERERERcWgaKiwiIiIiImJPWg7H7tTjKiIiIiIiIg5NPa4iIiIiIiL2pA5Xu1OPq4iIiIiIiDg0h01cJ06cSHBwMO7u7oSEhLBz587b1v3uu++oX78+vr6++Pr6Ehoaesf6IiIiIiIiknM45FDhuXPn0qtXLyZNmkRISAhjx46lWbNmHDt2jIIFC2apv379ev7zn//w+OOP4+7uzogRI3jyySc5dOgQhQsXNuAKsm/BL+vo//HXjJ/wIaGhtenXdyJ79xzD3d2VPHnc6dOvE5UqPWJ0mA/UiM9ms2HdPi5euMJP8wdTtnwxAE6fjmRgv++JuRpP3rweDPmsC6Ueyfj/Tk5OYczIuWzdchA3NxfKlC3KsBHdjLyM+270Z/PYuP4AFy9EM2t+H8qWK5pp+68Lt/HpgFmMGteNRk2rAHDowGnGjJjP9cQkMEHPj1pSK6SsEeE/MGM+X8Sm9YeJuHCVH+a9R5lyGa+ZbZuPMnnCClJSUnF3d6X3wJaULhsEwOGDZxk7cjHXE5MxmeCdD56jZkjufh8mJ6XwWb9ZnDkViaubCz6+eXm7b0sKF/XnnY7jSElJAyAtNY3Tf0XyzY+9KFk6iGkTl7F94yHMThm/i7bp2JhGzaoZeSkPxLB3vyUm+homswmPPG50eu8FSpQtQo+XhuLs6oyrmwsAL7RvwuOh1e64T2429N1vibnyv2t+tWfGNb/1YuZ2erHD/9rp4tlLTBzyI9diE8iT14M3+7elaMlAIy/jgdm+bAezR/3Ea0M6U6VeJWaN+JGzJ85iMplwcnbiua7PUrZ6GQDCj5zmlwkLSU1JJSU5hceeqk1o26YGX8GDs3fldhaN/ZG2/btQ/vHKnDt2mmWTfiE1JZXUlFSqhYZQr3Xm9rh0JoJv3x1Njacep3n3lwyK/MGY9NpgnFyccXHNeI+FtHqC8vWrs3ryfP7ceZC4qGg6jv2IgJL/+wxKTUlh3ZRFnNp7FGdXZwoGF+bZ9zsYdQk5j9ZxtTuHTFzHjBlD165defXVVwGYNGkSS5cuZerUqfTp0ydL/dmzZ2d6/v333/PLL7+wZs0aOnTIOW+w8+eimP/zaqpUKW0tC32iNkM+fR1nZyfWrwuj57tjWL32awOjfPBCn6xJp87NebX98Ezlwwb/QMtWDXnuxXqsWrGbgf2mMHveQADGj5kPJhOLfx+OyWTi8qVYI0J/oJo8WY32nZ+ga4cxWbZdOH+FRfO3UKlKCWuZxWLho/cmM3Boe0LqlON0eCRvvfYV85cMxN3d9UGG/kA1Dq3Mfzs1onun/72P4uISGdz3R76Z9gYlHwlkX9hfDO4zh9kLP8BisdDnvR/oP/Rlaj9WhjPhl3in22R++vUj3N1dDLyS++/pFx+jVt1ymEwmFs/dzNhP5zFq8puM/+Fda51Nq/9g1nerKFk6I8lv3aERr77VHIDLUbF0bT2SaiFl8PbxNOQaHpT3hnbAM58HADs3HODrYT8xasYHGduGtCe4TNYfUe+0T27V85/XvP4AXw/9iVEzM66556e3bqfJI+YT+sJjNHqmNtvX/sHXQ39i+NT3HmTYhrgSEc3WpdsJrlDcWvbSWy+QJ29G+509cY4JH3zD8IWfYjab+WnMPJ7p1JxKdR8lIS6BoZ0+p+JjFSkUnPuT/KuRVwhbsY0i5YKtZb99NZfG/21OuccqkXgtgQndPqNMSEUKFstoj7TUNH79ai7l6lQ2KOoH77kPO2VKTAHKPl6VkJeaMrvPuCz1N/zwGyaTia6T+mMymYi/GvegQhW5JYcbKpycnExYWBihoaHWMrPZTGhoKNu2bbPpGImJiaSkpODn53e/wrS79PR0BgyYxMf9O+Pq+r8vw02a1MLZ2QmAKlVLExUVTWpqmlFhGqJGzbIEBGb+v4y+EsfhQ+E83aIOAKFP1iAyIpozpyO5npjEogWb6PHuS5j+norcv4D3A4/7QateszQBgb5ZytPT0xk6aDYf9nsZF5f//VYVG5PA1eh4QuqUA6B4cAD58nmwddPhBxazEarVLEnBQJ9MZefPXsHbJw8lH8n4QlO1RkkiImI4dvgcsTGJxFyNp/ZjGb0axYILkDefO9s3H33QoT9Qrm4u1K5X3voeKl+pOJEXr2apt/zXnTR7vrb1ed6/kxKA64lJWCxgSU+//wEbzPMf150Yf93abvbeJ6fLdM0J1/91uYjY6Gv8deQs9ZvVACCkcWUuR8YQcfbyfY3TaOnp6cwZ/ROt3nkJ5398bt9MWgFuJNzItI/JZMpoUyD5RjLOzk54euV5MAEbKD09nV/H/cTTr7fK1FYAN/5uj5QbyTg5O+GR93/tsX7OcirWq0r+oAIPNF5HU/TRR8jnn/W7Q/KNJA6s2kb99s9YP5vy+no96PByNpOBj1zK4XpcL1++TFpaGgEBAZnKAwICOHrUti+KvXv3JigoKFPy+09JSUkkJSVlKnN2TcbNzbhepunTllCtWlkqPlrqtnVmzvid+g2qWRPZh1lERDT+BbytbWEymQgslJ+Ii9HcuJGMl7cnUyYvYcf2w7i7udL9recJeayCwVEbY/YPa6lStSTlKxbLVO7jmxf/Al6sWh7GE0/V4NCB05wOj+LihSsGRWqcosX8iY1JZP++cCpXDWbTukMkJiRx8cJVylYoQv4CXqxe8Qehzapw+OBZzoRf4uKFaKPDfqAW/biJOg0rZiqLiojhQNhffDSkXea6P23it3lbuRQVQ8/+L+Pjl+9BhmqYCUPmcHjPnwD0+aKrtXzipz9isVh4pEIx2r3xDF6+ef91n9xswidzOPT3Nff9xzVPGPK/dnrlzYx2uhIVg4+/F07/+Kz3D/DhcuRVAov6GxL/g7Du5w2UfLQExcoUzbJt8eTf2LfhDxLjr9NlcCfM5ow+iFc++g+T+09h6dTfiY9JoE2v1nj55f5EY9vC9RStUIKg0pnb6oWe7fhxyPesnbGUhNgEWrz9Mvn+bo9zR8M5dzScDsPeZP3s5UaEbYjfv5yFBQuFShenYccW5PG+/WdzzMXLuOfzZPvPqwj/4xguri7U/U9zilfJ3bcTiWNzuMT1Xn3++ef89NNPrF+/Hnd391vWGT58OJ988kmmsgEDX2fQ4DceRIhZnDh+hlUrtzNj1pDb1vn1140sX7b1jnUkQ1paOhcvXKFkqSDe7dWao0dO88ZrXzB/8afk98/9Pa//9OeJC6xbvY/J03vecvvo8d356stFTP9+JSVLFaJK9ZI4OTncQIz7Lm8+Dz77oj3fjFvG9cQkHq1SnBKlAqxtMXJcJyZ+uZQZU9ZSslQAlauVwMnp4fkB6cepa7hw7gqff9wqU/mqJbuoXb98lmHAL7Stzwtt63Py+AVGDphDjcfK4JXLhwoD9BiYkcBv+H0Xs79eQt8vujL467fwD/QlNTWNud8uY+LQHzMla7faJ7frMSjjmtcv/fuax3Tlk2/+104/fbuMiZ/+SN8xub8tbuXCqYvs2/QH7419+5bbn+/Wgue7teBo2DEWT/6NnuPfwdnFmVU/ruG5rs9Qs2kNLl+4zLieEylWpmiuHiocGX6Bw1v+oPPId7Js2/zzakI7PUvlxjWJvniZab2/Iqh0MXwK+rHk659p06/zQzHK4aZ2w9/Bq4AfaalpbJq1hN/HzqbVoNdvWz89PZ24qGjyFw2kYcfniDx5lnkDv6bzhL54qufVJpaH6PX1oDhc4urv74+TkxORkZGZyiMjIwkMvPOH7+jRo/n8889ZvXo1lSvf/p6Fvn370qtXr0xlzq7Hsx/0PQoLO8L5C5do3izjg/fy5RhODvyWy5eu0vY/zVj2+xa+nvgzU6cNxN/fx7A4HUlgoB+XL8WSmpqGs7MTFouFiItXCCzkRz6vPJjNJp5+NmMYcbnyxQkq7M+JE+ceusR1X9ifXDh/hZeeGQzAlctxfPbJRS5fiqVV2waUKVeEr77tYa3fusUQSj5SyKBojVWj9iPUqJ0x4VJycirPNh5CcKmMkR+lywYxdtL/vkS3fX4UJUoF3PI4uc3PM9ezZd0BPv+6e6Z7ny0WCyt/28XbfVredt9SZYLIX9CbP8JOUr/pw3MfWcOna/HdyPlci03A/+/h+87OTjzdpgHvtf38X/fJ5537k3yARs/cup2eadOAd9tktFP+gj7EXI4jLTUNp78/6y9HxuAfkHVoY25xcv9fREdEM6T9MADioq/x0+l5xF2Jo/7zda31ytUoy8/jF3Dh1EX8AnzZv3k/rw7ImNfDP8if4PLF+evgqVyduJ4+9BcxkdGMf20oAPFX4/jtTASR4Rc5snU/rft0AsCvkD9FygVz5vBfWNLSiY26yvQ+E4CM4cSW9HSuxyfy0vv/NepS7juvAhm3XDk5O1HzuUZ898bQf6nvi8lsokLDmgAElCqKd0B+Lp2+qMRVDONwiaurqys1atRgzZo1vPDCC0DGrz5r1qyhR48et91v5MiRDBs2jBUrVlCzZs07nsPNzQ03N7dMZWkW44YJt/1PM9r+p5n1ecf2g2jf8RlCQ2uzbNlWxo37iSlTBxL0kN+H8U9++b0oV6E4v/+2jederMfqlWEUDPSlWPGMZKL2YxXYuuUg9RtU5vy5S1w4f5mSJYMMjvrBa9W2Aa3aNrA+795pLP9p39g6q/DlS7HW+38Xzt+Ch4dbrp9V+HYuX4rDv0DGH+Np366mRu1SFC3mn2Xb4vk78PBwzfWzCgP8MmsD61fs5fOvu2e6dxVg364/SUtNp3pI6Uzlp/+KoPjfM75eOHeZk8fOU7xk7k7yE65dJ+lGMn5/v5d2bThAPm9PXFydSbh23Xpf55ZVewkuXfiO++TNxfck/v9r3nmHdirx9yRN3n75KFG2CJtWhNHomdrsWLef/AW9c/Uw4frP182UoI7rOYFGLRvy6GMVuHT+EgUKZ3wXCD9ymviYePwL5cc9jzuu7m4c23OCstVLEx8bz+mjp2nSupFBV/Fg1H6mHrWfqWd9Pq33Vzz2fEPKhjzK9kXr+WvfcUpWLUNCbDznj4Xz+IuNCCgRRO+fPrPus27WMm4kXM/Vswon30giPTUN97/v8T2yMYyAEneewTyPV16KVy7Dqb1HKFWzIjERV4iNvEL+orn781wcm8MlrgC9evWiY8eO1KxZk9q1azN27FgSEhKsswx36NCBwoULM3x4xiyzI0aMYODAgcyZM4fg4GAiIiIAyJs3L3nz5r3teXKC3h+Ox9/fhx5vjbCWTZs2CB/fh+OeMYChg39g08b9XLkcy5vdx+CZx51fl39O/0EdGPjxVKZ8txTPvO58MrSLdZ+PB7bnkwHTGT/mZ0wmEx8P6kDBXPwLPcBnn8xhy8ZDXLkcxzvdJpLH042Fyz654z4Lf97M8qW7sVgsBJcMZOS4brl+6NTnQ+azdeNRoq9c473XvyePpxvzl/bhu4kr2LfnFGlp6VSqUpx+n7xs3Wfx/O2s+H0vFgsElyjI52M75vp2uhQZw+Sxv1GocH4+en0SAC4uTtYZhZcv3smTz9Wy3l930/fjlxJxIRpnZyecnMy89dGLFCuRu7/oJMZf58v+M0hOSsFkNuHlk5feo7oQGx3PmH7TSU+3YLFYCAjKz1sD/3PHfXLz6yox/jpjPs64ZvPf19xndEY7fdH3H+1U+H/tBNCtdysmDv2JhT+swcPTnTc/bmvgVRgnLTWNmZ/P4UbCDcxOZlzdXek8qBN58mUkI68O7MDib38lLS2d9LQ0GrVsSImKwcYGbRCzk5nWfTuxcupi0tPSSU9N47HnG1G0fIl/3zkXSoy5xqLhU7CkW7BgwScgP8/0zOhdXjHxJ07uPkTC1Wv8POgbXD3c6DY5Y4WGJ99sw7Kv5rDhh18xmUw8+VYb8uX3MfBKchgth2N3JovFYjE6iFuZMGECo0aNIiIigqpVqzJ+/HhCQkIAaNSoEcHBwUyfPh2A4OBgTp8+neUYgwYNYvDgwTadL82y316h53pJadeMDiFHSLVcNzqEHCE1PdHoEHKMuGT9EbRFjNrJZrk4T7aryOsP373/2RF9Q+1kq4RUvfls0aVss3+v5KAeeXa6Yef+c0knw859Pzls4vqgKXG1nRJX2yhxtY0SV9spcbWNElfbKXG1jRJX2yhxtZ0SV9vk6MS1xXTDzv3nb50MO/f9pE8YERERERERcWhKXEVERERERMShOeTkTCIiIiIiIjmW7sWwO/W4ioiIiIiIiENTj6uIiIiIiIg9aTkcu1OPq4iIiIiIiDg0Ja4iIiIiIiLi0DRUWERERERExJ40Utju1OMqIiIiIiIiDk09riIiIiIiIvak5XDsTj2uIiIiIiIi4tDU4yoiIiIiImJP6nG1O/W4ioiIiIiIiENT4ioiIiIiIiIOTUOFRURERERE7Endg3anJhURERERERGHph5XERERERERe9LkTHanHlcRERERERFxaEpcRURERERExKFpqLCIiIiIiIg9aaSw3anHVURERERERByaelxFRERERETsyGJWl6u9qcdVREREREREHJoSVxEREREREXsymYx73IWNGzfSokULgoKCMJlMLFq0yLotJSWF3r17U6lSJTw9PQkKCqJDhw5cuHAh0zGio6N55ZVX8PLywsfHhy5duhAfH5+pzv79+6lfvz7u7u4ULVqUkSNH3nWTKnEVERERERF5CCUkJFClShUmTpyYZVtiYiJ79uxhwIAB7NmzhwULFnDs2DGee+65TPVeeeUVDh06xKpVq1iyZAkbN26kW7du1u1xcXE8+eSTFC9enLCwMEaNGsXgwYOZPHnyXcWqe1xFREREREQeQs2bN6d58+a33Obt7c2qVasylU2YMIHatWtz5swZihUrxpEjR1i+fDm7du2iZs2aAHz11Vc8/fTTjB49mqCgIGbPnk1ycjJTp07F1dWVihUrsm/fPsaMGZMpwf036nEVERERERGxJ5Nxj6SkJOLi4jI9kpKS7HJZsbGxmEwmfHx8ANi2bRs+Pj7WpBUgNDQUs9nMjh07rHUaNGiAq6urtU6zZs04duwYV69etfncSlxFRERERERyieHDh+Pt7Z3pMXz48Hs+7o0bN+jduzf/+c9/8PLyAiAiIoKCBQtmqufs7Iyfnx8RERHWOgEBAZnq3Hx+s44tNFRYRERERETEngxcDqdv37706tUrU5mbm9s9HTMlJYWXX34Zi8XCN998c0/Hyi4lriIiIiIiIrmEm5vbPSeq/3QzaT19+jRr16619rYCBAYGEhUVlal+amoq0dHRBAYGWutERkZmqnPz+c06ttBQYREREREREcniZtJ64sQJVq9eTf78+TNtr1OnDjExMYSFhVnL1q5dS3p6OiEhIdY6GzduJCUlxVpn1apVlC1bFl9fX5tjUeIqIiIiIiJiTzlkHdf4+Hj27dvHvn37ADh16hT79u3jzJkzpKSk0KpVK3bv3s3s2bNJS0sjIiKCiIgIkpOTAShfvjxPPfUUXbt2ZefOnWzZsoUePXrQtm1bgoKCAGjXrh2urq506dKFQ4cOMXfuXMaNG5dlOPO/0VBhERERERGRh9Du3btp3Lix9fnNZLJjx44MHjyYX3/9FYCqVatm2m/dunU0atQIgNmzZ9OjRw+aNm2K2WymZcuWjB8/3lrX29ublStX8tZbb1GjRg38/f0ZOHDgXS2FA2CyWCyWbFxjrpNuOWx0CDmGhXSjQ5BcJDX9utEh5Bimu/wV9WGVmm6fKf8fBhbSjA4hR7BY9HfPFmkWvffEvrxdmxkdQraV6jjXsHOf/KGNYee+nzRUWERERERERByahgqLiIiIiIjYk4HL4eRW6nEVERERERERh6bEVURERERERByahgqLiIiIiIjYk4YK2516XEVERERERMShqcdVRERERETEjizqcLU79biKiIiIiIiIQ1PiKiIiIiIiIg5NQ4VFRERERETsSZMz2Z16XEVERERERMShqcdVRERERETEnkzqcbU39biKiIiIiIiIQ1OPq4iIiIiIiD3pHle7U4+riIiIiIiIODQlriIiIiIiIuLQNFRYRERERETEntQ9aHdqUhEREREREXFo6nEVERERERGxJy2HY3fqcRURERERERGHpsRVREREREREHJqGCouIiIiIiNiT1nG1O/W4ioiIiIiIiENTj6uIiIiIiIgdWTQ5k92px1VEREREREQcmnpcRURERERE7Endg3anJhURERERERGHpsRVREREREREHJqGCouIiIiIiNiTlsOxO/W4ioiIiIiIiENTj6uIiIiIiIg9aTkcu1OPq4iIiIiIiDg0h01cJ06cSHBwMO7u7oSEhLBz587b1l2wYAE1a9bEx8cHT09PqlatysyZMx9gtCIiIiIiInK/OORQ4blz59KrVy8mTZpESEgIY8eOpVmzZhw7doyCBQtmqe/n58fHH39MuXLlcHV1ZcmSJbz66qsULFiQZs2aGXAFdycpKZn3e33Bn3+exd3dDb/83gwa1J3ixQvx7aT5LFq0jtOnLzL+q96EhoYYHa7hXus8hMuXr2Iym/H09KDfx50JKlSAV18dbK1z43oS585FsmnLVHx88hkXrIFu1U4VKpQktMnruLq64ObuCkC3bi/R/Om6BkdrnJiYa3R9dbj1+Y0byZw7F8X6TV/j5e3JNxMXsGzpNlxcnfH1zceU6R8bGK1xYq5e47XOn1mf37ie0U4bNn/DqJGz2bfnOG7uruTJ40bvvu15tFIpA6N9sEZ8NpsN6/Zx8cIVfpo/mLLli92xHOD06UgG9vuemKvx5M3rwZDPulDqkcJGXcIDMfKzH9mw7g8uXrjCj/MHULZ8MZKSUuj7wWT+OnkBNzdX/PLno++A/1KseMbf+kEfT+OPvX/i5pbx2vqgTxsqViph8JXcfyM/+4mN6/dz8cIV5szvT9lyRQF4s+tYrlyOw2w2kcfTnQ/7tqHc36+rZ5/sh6urM25uLgC8+tpTPNm8lmHX8CCMHj6fTesPcvFCNLN+/ogy5YoAkJycwrhRi9i+9Siurs6ULluYIZ93uOM+uV122urtbhO5cvkaJrOJPJ5ufNCnJWXLFzXyMnIWTc5kdyaLxWIxOoj/LyQkhFq1ajFhwgQA0tPTKVq0KG+//TZ9+vSx6RjVq1fnmWee4dNPP7WpfrrlcLbjvVdJScls336ABg2qYzKZmD3rd1as2MqMmUPZv/84vr5efNxvAh06tnCIxNVCuqHnj4tLwMvLE4DVq3YwccJcFi4ek6nO1CmL2b3rEF9P6mdEiA7hdu0U2uR1vprYm/LlHePLX2r6daNDyGT61KXs3n2UCV+/z6yZywnbdZSRo3vg4urM5Usx+BfwMSw2kwPdLzN96lJ27zrChG8+YN3aMOo3qIqzsxMb1u3hs6E/sGLNOMNiS01PeqDnC9t9jCJFCvBq++F8Of5ta4J6u3KAbq+O5NnnHue5F+uxasVupk/5ndnzBj7QuAEspD2wc4XtPk6RIv50bj+SMePftCauu3YcpW79RzGZTPw0ey1rVoXx3fQPAdiwdh91G1TC2dmJjev/YMSwH1m66vMHFvNNFsuD/bu3Z/dxChcpQJcOo/hi/BvWxPVaXCL5vPIAsHb1XiZ/vYSfFgwAMhLXf9Y1Qprlwb739uz+k8JF8tOt4zhGjXvNmoyNGbGAtLR0PujbEpPJxOXLcfj7e91xn9wuO231z9fbujV/8N3Xy5jzi23fw+3F29XxO6Bup8RHSww796mRzxp27vvJ4YYKJycnExYWRmhoqLXMbDYTGhrKtm3b/nV/i8XCmjVrOHbsGA0aNLifodqNm5srDRvWsH4prVKlDOfPRwFQuXIZihYNNDI8h3MzGQO4di3hlje/L/hlDS+1avogw3I4trSTZLVwwQZeeqkhkJGcvdurDS6uGYNTjExaHc2CX9bzYstGADRuUgNnZycAKlctTVTUVVJTH1xCZLQaNcsSEOhnc3n0lTgOHwrn6RZ1AAh9sgaREdGcOR1532M1Uo2aZbK0h5ubC/UaVLL+/atcpSQXzl+xbm/YpKr1tVWpSkkuRcU8FK+t6jXLEBDom6X8ZhIBEB9//aH/WK9e85Es7XQ9MYnfFm7jjXeesb6ubiZit9vnYZCdtvrn6y3h2g2H+vE0RzAZ+MilHG6o8OXLl0lLSyMgICBTeUBAAEePHr3tfrGxsRQuXJikpCScnJz4+uuveeKJJ25ZNykpiaSkzL8Kurgm4+bmeu8XYAczZi6hadPaRofh0Pr0Hs/OHQcBmPRt5qGbe/ccJTYugUaNahoRmkO5XTv17T0eiwUqVX6EXu//Fz8/b6NCdCj79h4nLjaBBo2qER+fSPSVONatCWPVyl0AdOjUnKeaP2ZwlMbbt/c4cXEJNGxULcu2WTOWU69BFWuyIVlFRETjX8Db2kYmk4nAQvmJuBhNseIB/7J37jZn1hoaNal6y20/zlxD3fqPPvSvrYF9p7F75zEAxn3zdpZtFiw8+mgJ3u75Ir5+D9+tMufOXsbL25Pp361i5/ZjuLm70PWN5tR+rKzRoTkcW9pqUL+ZhO08AcDYr183KlQRwAF7XLMrX7587Nu3j127djFs2DB69erF+vXrb1l3+PDheHt7Z3p8Pvy7BxvwbXw7aT5nTl+kZ6/2Rofi0D4f8Q5r10/mnXf/wxdfZJ6I65df1vD88w0f+i83cOt2mjHrUxb9+iXzF4zC19eLvn2+MjhKx7Hwlw20eL4ezs5OpKWmk5qaRlJSCnPmfsKoMT0Y9fksjh09bXSYhlswfz3PPVcvy3vst183s3L5DgZ98ppBkUlONmXyUs6eiaLHey9m2bb0t+2sWrGb/oM7GBCZYxky/FV+X/M5b7zzPF99ucBa/t0PHzB34UBmz+uPj68ngz6eblyQBkpLS+fihWhKlApkxtwP+aBPSz7+cDpXLscZHZrDsaWtPvmsPUtWD+H1t59hwpe/GhhtzmMxmwx75FYOl7j6+/vj5OREZGTmIVORkZEEBt5+yKzZbOaRRx6hatWqvP/++7Rq1Yrhw4ffsm7fvn2JjY3N9OjTt6tdryM7pk5ZxKpV25n83UA8PNyMDidHeOHFxuzccYiYq9cASEi4zvJlW3mpZRODI3Ms/2ynoKACALi4ONOhw7OE7T5icHSOITHhBiuW7+DFv4cJe/vkJU8ed55tkTFxVeHCBaharQwHD/5lZJiGu9lOL/w9TPim5b9vY9LEBUye0gd/f/Xg30lgoB+XL8Vah7xaLBYiLl4hsFDWYcUPixnTVrB29V4mTHo3y9+/Fct2Mfnr3/j6u57k/8cwxoddi+frsHvnMWJi4gEo9Pfrx8XFif+0D2Vv2AkjwzNMYCFfzGYTTz2TMeqqbPmiBBXOz8kTFw2OzPHcTVs9+3wIYbtOEBOT8KDDFLHKVuI6d+5cUlJS7B0LAK6urtSoUYM1a9ZYy9LT01mzZg116tSx+Tjp6elZhgPf5ObmhpeXV6aH0cOEp09bzNKlm5gydXCmexMls7i4BKIio63PV6/egY9PXrx98gKwfNkWypULpmTJh2Oyhdu5XTu5urkQF/e/PzpLl26ifAXHmKTJaMuXb6dsuWKUKBlkLWv+TB02b/4DgNiYeA4eOEmZMsVud4iHwvJlGe1U8h/ttHzZdr4a9zPfTe1LoSB/A6PLGfzye1GuQnF+/y1j3obVK8MoGOj70A4TnjV9Jct/38k33/XMdE8dwMrlu/h6/CK+mdKLQkH5DYrQMVyLS+RSVIz1+bo1+/D28cTb25PriUlci0u0blvx+86HdvZXH9+81Aopw/YtGT/Knj93hQvnrxBc8uF8f93Jndoq4/UWa627fs1+vL3z4O2d53aHE7nvsjWrsNlsxt/fnw4dOvDaa69Rrlw5uwY1d+5cOnbsyLfffkvt2rUZO3Ys8+bN4+jRowQEBNChQwcKFy5s7VEdPnw4NWvWpFSpUiQlJfH777/Tp08fvvnmG157zbYha0bOKhwRcZnGjbpStGgAnp4eALi6ujB33ki++eZn5v60gujoWDw9PXBzc2XBwi8MvSfRyFmFz5+Potd7X3DjRjJmswlfPy8+/KijdYbcdm370ap16EPf43q7dsqb14N33xlNeloaFgsUKRpAv36dKVwk6zJTD4qjzCrcvt0ntGzViBf+7nGFjKVyBnw8mXNnLwHQ5j9NafufW987/yA4wsQY//3PYFq2bmztmQaoVqkD+f298fn7BySA76f2w8fXmPvrHvSswkMH/8Cmjfu5cjkWb5+8eOZx59fln9+2HCD81EUGfjyV2Jh4PPO688nQLpQu8+B/cHuQswoPHTyTzRv3c+VyHN4+nuTJ48530z+gedPeFClagDx5MnpaXV1dmPFTxozwtau8Tn5/L7y9//eD7qSp72d6rT0ID3pW4WGfzGLzxgMZbeXtSR5PdyZN6UnvXpO5kZSM2WTG1y8v733QirLlinLu7CU+6vktaWnpWLBQpEgBPujzMkGFH+wPSQ96VuHhn/zElo2HuHLl2t/t5MaC3wdy/uxlhg6aQ8zVBExmE6+9/hRNnqh6x31yu7ttq4sXoun7/lSSbqRgMpvw9c3Lux+88MBnYc7JswoHf/y7YecOH/a0Yee+n7KVuA4cOJDp06dz7tw5TCYTdevWpWvXrrRu3Rp3d3e7BDZhwgRGjRpFREQEVatWZfz48YSEZCwF06hRI4KDg5k+fToA/fv3Z+7cuZw7dw4PDw/KlSvHu+++S5s2bWw+n5GJa05j9HI4krs4SuKaEzhC4poTPOjENSd7kIlrTvagE9ec6kEnrpL7KXHNHiWu/096ejrLli3j+++/Z+nSpaSlpeHl5cV///tfXnvtNapUqWLvWO8rJa62U+Iq9qTE1XZKXG2jxNV2Slxto8TVNkpcxd5ydOLaf5lh5w4f2tywc99P2Z6cyWw288wzz7Bw4ULOnTvHZ599RoECBZg4cSLVq1endu3afP/998THx9szXhEREREREXnI2GVW4YIFC9K7d2+OHz/OihUrKFSoEGFhYXTv3p2goCDefPNNTp/WEhIiIiIiIiJy9+y2HM7hw4fp2bMn7dq148KFC+TJk4dXXnmF4OBgJk2aRIUKFVi2zLgucxERERERkQfCbOAjl7qnS7t+/TrTpk3j8ccfp1KlSowbN47ChQszceJELly4wIwZM9i/fz9Lly4lb9689O7d215xi4iIiIiIyEPCOTs77d69m++//56ffvqJa9eu4e7uTocOHXj99detM//+U/PmzenSpQujR4++54BFREREREQcmiZUtLtsJa61a9cGoEKFCnTv3p0OHTrg7X3ndUWLFStG4cKFs3M6EREREREReYhla6jwK6+8wsaNGzl48CBvv/32vyatAK+//jqnTp3KzulERERERETkIZatHtdhw4bh4+NzxzrXrl3j6tWrFCtWLDunEBERERERyZnMGipsb9nqcS1RogTjxo27Y53x48dTokSJbAUlIiIiIiIiclO2elwtFgsWi+Vf64iIiIiIiDx01ONqd/dtpZ9z586RL1+++3V4EREREREReUjY3OM6ZMiQTM/Xr19/y3ppaWmcPXuWn376iccee+yeghMREREREclpLFoOx+5MFhvH9JrN/+ucNZlM/zoUOCgoiIULF1KrVq17i/ABSbccNjqEHMNCutEhSC6Smn7d6BByDJP+CNokNT3J6BByDAtpRoeQI1gs+rtnizSL3ntiX96uzYwOIduKD11l2LlP93/CsHPfTzb3uK5btw7IuHe1SZMmdOrUiY4dO2ap5+TkhJ+fH+XKlcuU7IqIiIiIiIhkh82Ja8OGDa3/HjRoEI0bN6ZBgwb3JSgREREREZEcS/13dpetWYUHDRpk7zhEREREREREbsmmxPXMmTMAFC5cGCcnJ+tzWxQrVix7kYmIiIiIiOREmpfC7mxKXIODgzGZTBw5coQyZcpYn/8bk8lEamrqPQcpIiIiIiIiDy+bEtcOHTpgMpnw9vbO9FxERERERETkfrMpcZ0+ffodn4uIiIiIiMjfzOrkszfNdyUiIiIiIiIOLVuzCouIiIiIiMhtqMfV7mxKXDt37pytg5tMJqZMmZKtfUVEREREREQgm/e42kqJq4iIiIiIPHTU4Wp3Nt3jeurUqWw9/vrrr/sdv4iIiIiIiGTDxo0badGiBUFBQZhMJhYtWpRpu8ViYeDAgRQqVAgPDw9CQ0M5ceJEpjrR0dG88soreHl54ePjQ5cuXYiPj89UZ//+/dSvXx93d3eKFi3KyJEj7zpWm3pcixcvftcHFhEREREREceVkJBAlSpV6Ny5My+99FKW7SNHjmT8+PH88MMPlChRggEDBtCsWTMOHz6Mu7s7AK+88goXL15k1apVpKSk8Oqrr9KtWzfmzJkDQFxcHE8++SShoaFMmjSJAwcO0LlzZ3x8fOjWrZvNsZosFovFPpeds6VbDhsdQo5hId3oECQXSU2/bnQIOYbWz7ZNanqS0SHkGBbSjA4hR7BY9HfPFmkWvffEvrxdmxkdQrYVG7POsHOf6dU4W/uZTCYWLlzICy+8AGT0tgYFBfH+++/zwQcfABAbG0tAQADTp0+nbdu2HDlyhAoVKrBr1y5q1qwJwPLly3n66ac5d+4cQUFBfPPNN3z88cdERETg6uoKQJ8+fVi0aBFHjx61OT6belzPnDkDQOHChXFycrI+t0WxYsVsrisiIiIiIiLZl5SURFJS5h+S3NzccHNzu6vjnDp1ioiICEJDQ61l3t7ehISEsG3bNtq2bcu2bdvw8fGxJq0AoaGhmM1mduzYwYsvvsi2bdto0KCBNWkFaNasGSNGjODq1av4+vraFI9NiWtwcDAmk4kjR45QpkwZ6/N/YzKZSE1NtSkQERERERGRXMHAUVLDhw/nk08+yVQ2aNAgBg8efFfHiYiIACAgICBTeUBAgHVbREQEBQsWzLTd2dkZPz+/THVKlCiR5Rg3t9k1ce3QoQMmkwlvb+9Mz0VERERERMRx9O3bl169emUqu9veVkeUreVwsrs8joiIiIiIiNw/2RkWfCuBgYEAREZGUqhQIWt5ZGQkVatWtdaJiorKtF9qairR0dHW/QMDA4mMjMxU5+bzm3VsYdNyOCIiIiIiImIjs8m4h52UKFGCwMBA1qxZYy2Li4tjx44d1KlTB4A6deoQExNDWFiYtc7atWtJT08nJCTEWmfjxo2kpKRY66xatYqyZcvaPEwYbOxxvZO9e/eyd+9eYmNj8fb2plq1alSrVu1eDysiIiIiIiL3UXx8PH/++af1+alTp9i3bx9+fn4UK1aM9957j6FDh1K6dGnrcjhBQUHWmYfLly/PU089RdeuXZk0aRIpKSn06NGDtm3bEhQUBEC7du345JNP6NKlC7179+bgwYOMGzeOL7/88q5izXbiumvXLrp27cqBAweAjOmSb973WqlSJb7//vtMs0s5OrPpnnP4h4YFraAk9uPq5GR0CDmGluSwjZOTu9EhiIjcUbol5d8rSc6WQ6YD2r17N40b/2/5nJv3xnbs2JHp06fz0UcfkZCQQLdu3YiJiaFevXosX77cuoYrwOzZs+nRowdNmzbFbDbTsmVLxo8fb93u7e3NypUreeutt6hRowb+/v4MHDjwrtZwhWyu47pnzx4aNGhAYmIiTZs2pX79+gQEBBAZGcnGjRtZu3Ytnp6ebNq0yTr+2fEdNzqAHEOJq9iXkjFbKXG1jT6jRMTRKXG1jYs5547iLDZ+g2HnPvNOQ8POfT9lq5uxb9++pKSksGLFCp544oks21esWEGLFi3o06cPy5cvv+cgRUREREREcgqzZhKyu2w16datW2nduvUtk1bIWFC2VatWbN269Z6CExEREREREclW4urs7Ezx4sXvWKdEiRI46d41ERERERERuUfZGir8+OOPs2PHjjvW2b59O/Xq1ctWUCIiIiIiIjmVKYdMzpSTZKvHddSoUYSFhdG/f38SExMzbUtMTKRfv37s3buXkSNH2iVIEREREREReXjZNKtw586ds5SdPHmSzZs34+PjQ7Vq1ayzCu/du5eYmBjq169PqVKlmDJlyn0J3P40q7CtNGOn2JdmyrWVZhW2jT6jRMTRaVZh2+TkWYVLfm3crMJ/vZk7ZxW2KXE1Z3NaLJPJRFpaWrb2ffCUuNpKXwrFvpSM2UqJq230GSUijk6Jq22UuGZPbk1cbbrH9dSpU/c7DhEREREREZFbsilx/bcZhEVERERERCSDSbMz2Z2WxhURERERERGHlq3lcG66ceMGu3bt4sKFCyQlJd2yTocOHe7lFCIiIiIiIjmKOlztL9uJ68SJExkwYACxsbG33G6xWDCZTEpcRURERERE5J5ka6jwggULePvttylatCijR4/GYrHw/PPP89lnn/HUU09hsVho2bIlU6dOtXe8IiIiIiIiDs1kMu6RW2UrcR07diwFCxZk27Zt9OzZE4CqVavSu3dvli5dyqxZs1i0aJEmdRIREREREZF7lq3Edf/+/Tz33HPkyZPHWvbP9VrbtWtHkyZNGDJkyL1HKCIiIiIiIg+1bCWuKSkpFChQwPrcw8ODmJiYTHWqVKnCnj177ik4ERERERGRnMZkNu6RW2Xr0oKCgrh48aL1efHixdm7d2+mOqdPn8bZ+Z4mLRYRERERERHJXuJaq1atTL2pTz31FFu2bGH48OEcOnSIb7/9lgULFlCrVi27BSoiIiIiIpITaHIm+8tW4tq6dWuSkpIIDw8HoG/fvhQpUoT+/ftTuXJl3njjDfLmzcvIkSPtGauIiIiIiIg8hEwWi8VijwNdvXqV77//nr/++ovixYvTvn17ChcubI9DPyDHjQ4gx7Bgl5eMyN/SjQ4gx7BY1Fa20GeUiDi6dEuK0SHkCC7makaHkG1lv99o2LmPvdbAsHPfT3a7CdXX15cPP/zQXocTERERERHJkcy5eMiuUeySuP7111/Exsbi7e1NyZIl7XFIERERERERESCb97gCxMbG8u677+Lr60vp0qWpWbMmpUuXxtfXl/fee4/Y2Fh7xikiIiIiIpIjaHIm+8tWj2tUVBT169fnxIkT+Pj40LBhQwICAoiMjGTfvn2MHz+eZcuWsWnTJgoWLGjvmEVEREREROQhkq0e1759+3LixAn69OnD2bNnWbt2LT/++CNr167l7Nmz9O7dmxMnTtCvXz97xysiIiIiIuLQ1ONqf9maVbhgwYJUrlyZ1atX37ZOkyZNOHjwIFFRUfcU4IOjWYVtpRk7xb40U66tNKuwbfQZJSKOTrMK2yYnzypccZpxswofejV3ziqcrR7XhIQEHnvssTvWqVOnDomJidkKSkREREREROSmbN3j+uijjxIeHn7HOuHh4Tz66KPZObyIiIiIiEiOZcrNY3YNkq0e1379+jF//vzbDhVeuXIl8+fP5+OPP76n4ERERERERERs6nGdMWNGlrInn3ySZs2a8cQTT1CvXj3rrMKbNm1i9erVPPvss1y9etXuAYuIiIiIiDgyU7YXHZXbsWlyJrPZnKW725Y5nUwmE2lpadmP7oHS5Ey20sQnYl+acMhWmpzJNvqMEhFHp8mZbJOTJ2eqNGOTYec+0KG+Yee+n2zqcZ02bdr9jiOLiRMnMmrUKCIiIqhSpQpfffUVtWvX/tf9fvrpJ/7zn//w/PPPs2jRovsfqIiIiIiIiNxXNiWuHTt2vN9xZDJ37lx69erFpEmTCAkJYezYsTRr1oxjx45RsGDB2+4XHh7OBx98QP36Of9XhiZNuuDi4oK7uysA3bu35umnc/512dumjWGMHTublJQUPDzc+GTIW5QrV8LosAw3dOhk1q7dyYXzUSxcNJby5UuSlJRMr56j+PPkWdzdXMmf35tBg9+gePEgo8M11NCh3/3dVpdYuGgM5cuXBGDDht2MGzuH9PR00tLS6dzlBV58sYnB0RonKSmZ93uN4c8/z+Lu7opffm8GDepO8eKFsFgsTJwwlyVLNuHq6oKvrxc/zBhidMiGea3zEC5fvorJbMbT04N+H3emQoWSDBs6hXVrd3HhwiV+WTia8uX1WXW7trpd+cPqdu2RnJzCyM+ns3nLPtxcXSlbLpiRo941OlzD3K6dQpu8jqurC25/f6fq1u0lmj9d1+BojfVk0x6Z2uS1rs9Tp04lunQeaq1z43oS585FsXHzZLx98hoVao6luZnsL1vruN5vISEh1KpViwkTJgCQnp5O0aJFefvtt+nTp88t90lLS6NBgwZ07tyZTZs2ERMTc5c9ro41VLhJky5MnPix9Uu0I3GUYXixsfE8+WR3Zs0aTunSxdi9+xCfDP6G35ZMMDo0w+3adZCiRQNp164PEyf2syau27fvp0GDGphMJmbNWsKKFVuZOfMzg6M1dvjrrl2HKFo0gHbt+jJxYl/Kly+JxWLhsZD2zJgxlLLlgjl3LpKnm/dg67YZ5M3rYVisRg4Vznj9HKBBg+qYTCZmz/qdFSu2MWPmp8yYsYRduw7xxRe9cHV14dKlqxQo4GtYrEZ/RsXFJeDl5QnA6lU7mDhhLgsXj2H3rkMUKRrIf9t9zFcTeytx5fZtdbvyh9Xt2uPz4dNITU3j4/5dMJlMhr/3jHa7dgpt8rrDveeMHir8ZNMejJ/wAeXKB9+2zrSpv7F71xEmfvPRgwvs/8nJQ4UrzzRuqPD+9rmzs+uebhsODw9n2LBhtG7dmmbNmtG6dWuGDRv2r0vl3ElycjJhYWGEhob+L0izmdDQULZt23bb/YYMGULBggXp0qVLts8tOcuZMxfx8clH6dLFAKhZsyIXLlzi0KGTBkdmvFq1HiUw0D9TmZubKw0b1rTer16lSlnOn48yIjyHUqtWxSxtBYDJRNy1BAAS4q/j45MPV9dsrSCWK2S8fmr84/VTxvr6mTplEb16tcfV1QXgof7iDFi/OANcu5Zg/dm9Zq2KBAbmNyosh3S7trpd+cPqVu2RmHiDX+av4b2e7azvS7339LqxpwW/rOOllo2NDiPHMpmMe+RW2f4WNm7cOD766CNSU1MzTdT0yy+/MGTIEEaOHMm77979cJXLly+TlpZGQEBApvKAgACOHj16y302b97MlClT2Ldvn03nSEpKIikpKVOZm1sybm6udx3v/fTRR18CFipVKsMHH3TEz8/b6JAcSnBwEDEx19iz5wjVq5dn7ZodJCRc5/z5SCpWLGV0eA5v5ozfaNokxOgwHJLJZOLLLz/g7R6fkyePO7Gx8Xw1oY81MROYMXMpTZvWJj4+kStXYlm7dicrV2T8uNixUwuefrqewREaq0/v8ezccRCASd9qabg7uV1bqQ0z+//tcfZsBN7eeZn87S9s23oAN3dX3urxMnXqVDY4UmPd7nXTt/d4LBaoVPkRer3/X32nAvr2+RosFh6tVIqe77fDz8/Lum3v3mPExSXQsFF1AyMUySxbPa5LliyhZ8+eeHt7M3ToULZu3cqpU6fYtm0bn332Gd7e3vTq1YulS5faO94srl27Rvv27fnuu+/w979Fr8ktDB8+HG9v70yP4cO/vc+R3p1Zs4bz229fsWDBWHx9vejd+0ujQ3I4+fJ5Mm5cb8aMmcFLL/Vk85a9PPJIUZydnIwOzeFNmjSP02cu0uv9DkaH4pBSU9P45pt5fDWhD2vXfcf06UPo/dFYrkbHGR2aQ/h20nzOnL5Iz17/JTU1jdTUNG7cSGbuvBGMGfM+nw+fxtGjp4wO01Cfj3iHtesn8867/+GLL2YaHY5Du11bqQ0z+//tkZaazoULlyhVqig//zKSfh935v2eY7h8OcboUA11q9fNjFmfsujXL5m/YBS+vl707fOVwVEa74eZg1m4eCTzfhmOr28+Pu7zdabtC+av47nnGuDsrO9U2aUeV/vLVuI6ZswY/Pz82LNnD3379uWxxx6jePHihISE0KdPH8LCwvD19WXMmLu/H8Xf3x8nJyciIyMzlUdGRhIYGJil/smTJwkPD6dFixY4Ozvj7OzMjBkz+PXXX3F2dubkyazDRvv27UtsbGymR9++3e861vspKChjEioXF2c6dnyO3bsPGxyRY3rsscrMmjWcBQu+pE+fLkRFRVPqkaJGh+XQpkxZyKqV2/nuu0F4eLgZHY5DOnLkFFFRV6lVqyIAlSqXJiAgP4eP/GVwZMabOmURq1btYPJ3A/DwcMPHJx958rjz3HMNAChcpCDVq5fjwIE/DY7UMbzwYmN27jhEzNVrRofi8G7XVmrDzG62R8EAP8xmM8+2yLiXrUKFkhQpUpDjx08bHKFj+OfrJiioAJDxnapDh2cJ233E4OiMVygoo7PHxcWZ9h2eJizsf6MaExNusGL5dl5s2cig6ERuLVuJ6549e2jTpg1FihS55faiRYvy8ssvExYWdtfHdnV1pUaNGqxZs8Zalp6ezpo1a6hTp06W+uXKlePAgQPs27fP+njuuedo3Lgx+/bto2jRrEmMm5sbXl5emR6ONEw4MfEGcXHx1udLl258qGdTvJOoqGjrv7+eOJeQxyo/9LPk3sm0aYtYunQjU6cNwctLMwTeTqFC/lyKiubkybMAnD59kbNnIyhRorDBkRlr+rRfWbp0M1OmDsp0L9kzz9Rn06a9AMTEXGP/gROULRtsUJTGiotLICryf59Lq1fvwMcnr2bkvIXbtZXJbFIb/sPt2il/fm8ee6wSmzfvA+DcuUjOnYuiVKlbfzfL7W7XTq5uLsTFJVjLly7dRPkKjjNJkxEyvmf+r01+/30r5f8xSdOyZVspW644JUs+3H/zxPFk6x7X5ORkPD0971gnb968JCcnZyuoXr160bFjR2rWrEnt2rUZO3YsCQkJvPrqqwB06NCBwoULM3z4cNzd3Xn00Ucz7e/j4wOQpTynuHIlhrffHk5aWjpgoUiRQEaM6Gl0WA7pq/Fz2L37EGlpaVStWo5hw942OiSHMHDgRDas383ly1d5rcsgPD09mDHzM0Z8PpWiRQPp2CHjvh9XVxfm/Tza4GiNNXDg12xYH/Z3W32Cp6cHK1dNYsinb/Lee6Mwm8ykW9LpP6Cr9Vf7h1FExGVGjJhO0aIBdOo4EMh4/cydN4Kevf7Lx/2+4scflwPw2msvUrlyaSPDNcy1awn0eu8LbtxIxmw24evnxdeT+mEymRg0cBIbN4Rx+XIM3V77lDyeHqxYOdHokA1zu7aKj0+8bRs+jO74mvqkGwM+/poxo2dhNpsY/El3AgIezgnAbtdOV67E8O47o0lPS8NigSJFA/j883eMDtdQV67E0vPdLzO+Z1osFClakM9GvGndvuCXdbRq3dTACHMH88P5kXVfZWs5nKpVq5KUlMSBAwdwds6a+6amplK5cmVcXV1tnjDp/5swYQKjRo0iIiKCqlWrMn78eEJCMiaSadSoEcHBwUyfPv2W+3bq1CnHL4fjyIxeakJyG2OXw8lJjFwOJyfRZ5SIODqjl8PJKXLycjjV5xi3HM6edrlzOZxsJa5jxozhgw8+oHHjxowcOZIaNWpYt+3evZu+ffuydu1aRo8eTc+eOaWnUImrrfSlUOxLyZitlLjaRp9RIuLolLjaJicnrjV+NC5xDftP7kxcszVU+N1332Xjxo38+uuv1K5dmzx58lCwYEGioqJITEzEYrHw/PPPZ2s5HBEREREREZF/ytbkTE5OTixatIjp06fTqFEjXF1dOXPmDK6urjRu3JgffviBhQsXYjZn6/AiIiIiIiIiVtnqcb2ZpHbo0IEOHbQOpIiIiIiIyE0P6Xxy91W2ukRLlChBv3797B2LiIiIiIiISBbZ6nH19fUlf/6Hc7p1ERERERGROzFpPRy7y1aPa/369dmxY4e9YxERERERERHJIluJ6/Dhw9m/fz9DhgwhNTXV3jGJiIiIiIiIWGVrHdfOnTtz4sQJtm7dSmBgIFWqVCEgIADT/7sL2WQyMWXKFLsFe39pHVdbaY1EsS+tTWorreNqG31GiYij0zqutsnJ67jW/nmzYefe2bqeYee+n7KVuNq6zI3JZCItLe2ugzKGEldb6Uuh2JeSMVspcbWNPqNExNEpcbWNEtfsya2Ja7YmZzp16pS94xAREREREckVtByO/WUrcS1evLi94xARERERERG5pbuanOnkyZN07tyZSpUqUblyZbp27areVxERERERkX8wmYx75FY297iePn2akJAQrl69ys3bYg8ePMjixYsJCwujaNGi9y1IEREREREReXjZ3OM6bNgwoqOj+e9//8v27dvZvn07HTp04PLly3z22Wf3M0YRERERERF5iNk8q3CpUqXw9vZmz549mcqrV69OXFwcf/75530J8MHRrMK20oydYl+aKddWmlXYNvqMEhFHp1mFbZOTZxV+fIFxswpvfSl3zipsc4/rhQsXaNSoUZbyRo0acf78eXvGJCIiIiIiImJl8z2uSUlJ+Pj4ZCn39vYmOTnZnjGJiIiIiIjkWLl5kiSj3NWswiIiIiIiIiIP2l2t47pkyRIiIiIyle3evRuAN998M0t9k8nExIkT7yE8ERERERERedjZPDmT2Xz3nbMmk4m0tLS73s8YmpzJVpr4ROxLEw7ZSpMz2UafUSLi6DQ5k21y8uRM9RYbNznT5udz5+RMNve4rlu37n7GISIiIiIiInJLNieuDRs2vJ9xiIiIiIiI5AqanMn+NDmTiIiIiIiIOLS7mpxJRERERERE7sykLle7U4+riIiIiIiIODQlriIiIiIiIg+ZtLQ0BgwYQIkSJfDw8KBUqVJ8+umn/HPRGYvFwsCBAylUqBAeHh6EhoZy4sSJTMeJjo7mlVdewcvLCx8fH7p06UJ8fLzd41XiKiIiIiIiYkcmk3EPW40YMYJvvvmGCRMmcOTIEUaMGMHIkSP56quvrHVGjhzJ+PHjmTRpEjt27MDT05NmzZpx48YNa51XXnmFQ4cOsWrVKpYsWcLGjRvp1q2bPZsTuIt1XHM/reNqK62RKPaltUltpXVcbaPPKBFxdFrH1TY5eR3Xhku2GHbuDc/Wtanes88+S0BAAFOmTLGWtWzZEg8PD2bNmoXFYiEoKIj333+fDz74AIDY2FgCAgKYPn06bdu25ciRI1SoUIFdu3ZRs2ZNAJYvX87TTz/NuXPnCAoKstt1qcdVRERERETEjozscU1KSiIuLi7TIykpKUuMjz/+OGvWrOH48YwOvD/++IPNmzfTvHlzAE6dOkVERAShoaHWfby9vQkJCWHbtm0AbNu2DR8fH2vSChAaGorZbGbHjh12bVMlriIiIiIiIrnE8OHD8fb2zvQYPnx4lnp9+vShbdu2lCtXDhcXF6pVq8Z7773HK6+8AkBERAQAAQEBmfYLCAiwbouIiKBgwYKZtjs7O+Pn52etYy/ZXg5n9erVjBkzhl27dhETE0N6etYhbCaTidTU1HsKUERERERERGzTt29fevXqlanMzc0tS7158+Yxe/Zs5syZQ8WKFdm3bx/vvfceQUFBdOzY8UGFa7NsJa6//PILbdq0IT09neLFi1OuXDmcnbUkrIiIiIiIiJHLuLq5ud0yUf3/PvzwQ2uvK0ClSpU4ffo0w4cPp2PHjgQGBgIQGRlJoUKFrPtFRkZStWpVAAIDA4mKisp03NTUVKKjo63720u2ss0hQ4bg4eHB4sWLadKkiV0DEhERERERkfsrMTERsznznaNOTk7WkbQlSpQgMDCQNWvWWBPVuLg4duzYwRtvvAFAnTp1iImJISwsjBo1agCwdu1a0tPTCQkJsWu82Upcjx07Rvv27ZW0PqRMGPgTkuQ6Ft1qbzOTSW1lC31CiRhFM5/bymxyMToEuc/MOeCPUYsWLRg2bBjFihWjYsWK7N27lzFjxtC5c2cg47bP9957j6FDh1K6dGlKlCjBgAEDCAoK4oUXXgCgfPnyPPXUU3Tt2pVJkyaRkpJCjx49aNu2rV1nFIZsJq758+cnT548dg1EREREREREHoyvvvqKAQMG8OabbxIVFUVQUBDdu3dn4MCB1jofffQRCQkJdOvWjZiYGOrVq8fy5ctxd3e31pk9ezY9evSgadOmmM1mWrZsyfjx4+0eb7bWcX333XdZvXo1f/zxRy66t1XruIoYQWtuiojkFupxtZ1G0NjCRFmjQ8i2J5Ybt47rqqdsW8c1p8nWu+azzz7Dx8eHNm3acObMGXvHJCIiIiIiImKVre7SSpUqkZKSwvbt21m0aBE+Pj54e3tnqWcymTh58uQ9BykiIiIiIiIPr2wlrunp6Tg7O1OsWDFr2a1GHGdjFLKIiIiIiEiOZjYpD7K3bCWu4eHhdg5DRERERERE5NZyy8xKIiIiIiIiDiEnLIeT09xz4pqamsqxY8eIi4vDy8uLsmXL5qKZhkVERERERMRo2Z6LOzo6mq5du+Lt7U3lypWpV68elStXxsfHh27dunHlyhV7xikiIiIiIiIPqWx1jUZHR/PYY4/x559/4ufnR/369SlUqBARERHs3r2b77//ng0bNrBt2zb8/PzsHbOIiIiIiIjD0kq99petNv3000/5888/+fDDDzl9+jTLly9n2rRpLFu2jNOnT9O7d29OnDjBsGHD7B2viIiIiIiIPGRMlmysWVOyZEmCg4NZu3btbes0adKE8PBw/vrrr3sK8ME5bnQAIg8lC5ouXkQkd0g3OoAcRP1xtjBR1ugQsq3Fqk2Gnfu3J+obdu77KVvvmgsXLlCnTp071qlTpw4XLlzIVlAiIiIiIiIiN2XrHldvb29Onz59xzqnT5/G29s7W0GJiIiIiIjkVFoOx/6y1ePasGFDfv75Z1avXn3L7WvWrOHnn3+mUaNG9xKbiIiIiIiISPbucT106BC1a9fmxo0bPP300zRs2JCAgAAiIyNZv349y5YtI0+ePGzfvp2KFSvej7jvA93jKmIE3eMqIpJb6B5X2+keV1vk5Htcn19t3D2ui0Nz5z2u2RoqXLFiRVasWEGnTp1YunQpS5cuxWQycTMHLlWqFNOnT89BSauIiIiIiIh96KcJ+8tW4gpQr149Tpw4wZYtW9i7dy9xcXF4eXlRrVo16tati8mkgd0iIiIiIiJy77KduAKYTCbq1atHvXr17BWPiIiIiIhIjqbJmexPvdgiIiIiIiLi0GzqcR0yZAgmk4m33noLPz8/hgwZYtPBTSYTAwYMuKcARURERERE5OFm06zCZrMZk8nEkSNHKFOmDGazbR21JpOJtLS0ew7ywdCswiJG0KzCIiK5hWYVtp0GPdoiJ88q3GrtRsPOPb9JA8POfT/Z1OO6bt06AIoVK5bpuYiIiIiIiMj9ZlPi2rBhwzs+FxERERERkQyanMn+sjVOYcaMGezfv/+OdQ4ePMiMGTOyFZSIiIiIiIjITdlKXDt16sSiRYvuWGfx4sW8+uqr2Tm8iIiIiIhIjmU28JFb3bdrS0tLs3kSJxEREREREZHbuW+Z5d69e/Hz87tfhxcREREREZGHhE2TMwE0adIk0/Pp06ezfv36LPXS0tI4d+4c4eHhvPzyy/ccoIiIiIiISE5iNmm5P3uzOXH9Z5JqMpkIDw8nPDw8Sz2z2Yyfnx+tW7dm7NixdghRREREREREHmY2J67p6f9bVNpsNjN48GAGDhx4X4ISERERERHJqbQcjv3ZnLj+07p16wgODrZzKCIiIiIiIiJZZWtypoYNG1K8eHF7x5LJxIkTCQ4Oxt3dnZCQEHbu3HnbutOnT8dkMmV6uLu739f4RERERERE5MHIVo/rTefOnWPdunVcuHCBpKSkLNtNJhMDBgy46+POnTuXXr16MWnSJEJCQhg7dizNmjXj2LFjFCxY8Jb7eHl5cezYsUznzqmGDv2WtWt3cv58FIsWjaN8+ZJGh+SQkpKS6dlzJCdPnsXNzZX8+X0YPPgNihcPMjo0h/XLL6vp128cEyf2IzS0jtHhOKQNG3Yzbuws0tMtpKWl0bnLi7z4YlOjwzLc0KGTWbt2JxfOR7Fw0Vjr51J4+AX69BnL1atx5Mubh+Gfv0fp0sUMjtZxXL0ax6ud/vd38PqNJM6djWDL1pn4+OQzMDLj3eo1lZSUTK+eo/jz5Fnc3VzJn9+bQQ/55/rt3nu3K3+YDR363d9tcomFi8ZY26RJk664urjg7u4KQLfurXj66XpGhupQNm0MY+zY2aSkpODh4cYnQ96iXLkSRoeV42lRUPvLduL64YcfMm7cONLS0qxlFovFmjDe/Hd2EtcxY8bQtWtXXn31VQAmTZrE0qVLmTp1Kn369LnlPiaTicDAwGxcieNp1qwur73WknbtehsdisNr0+YpGjSogclkYtasJfTv/xUzZw43OiyHdO5cJD//vIKqVcsaHYrDslgsfPThGGbMGEbZciU4dy6Sp5u/yRNP1CFv3jxGh2eoZs0e57XXXqJdu8yfwYMGTuTll5vx0ktNWb58C337jGX+L2MMitLx+Pp6sWjxOOvzKVMWsmvXwYc+aYXbv6ZebtPs/32uT2DmzM8MitJ4t2un25U/zDLa5EXateubZduXYz9Qcn8LsbHxfPDhGGbNGk7p0sXYvfsQH37wBb8tmWB0aCJZZOvHgO+++44vvviCxo0bM3/+fCwWCx07duTHH3/k9ddfx9nZmdatW7N27dq7PnZycjJhYWGEhob+L0izmdDQULZt23bb/eLj4ylevDhFixbl+eef59ChQ9m5NIdQq9ajBAb6Gx2Gw3Nzc6Vhw5rWH0uqVCnL+fNRBkflmNLT0+nf/yv69++Oq6uL0eE4NpOJuGsJACTEJ+Ljk09txq0/l65cieHgwT957rlGQMaXxoiIy5w+fcGACHOGX+avolWrJ4wOwyHc6jWlz/WsbvedQN8VsqpVq6La5C6dOXMRH5981pEyNWtW5MKFSxw6dNLgyHI+s8m4R26VrR7XyZMnExwczLJlyzCbM3Lf4OBg2rRpQ5s2bXj55Zd54oknaN269V0f+/Lly6SlpREQEJCpPCAggKNHj95yn7JlyzJ16lQqV65MbGwso0eP5vHHH+fQoUMUKVIkS/2kpKQsQ5vd3JJxc3O963jFccyY8StNmoQYHYZDmjZtEdWrl+fRRx8xOhSHZjKZ+PLLD3m7x3Dy5HEnNjaeryb0VeJ6GxcvXqZAAT+cnZ2AjPYrVKgAFy9ceqiHdt7Onj1HiIuLp1GjWkaHkmPMnPEbTfW5LnbQ+6NxWLBQuVJp3v+gA35+3kaH5BCCg4OIibnGnj1HqF69PGvX7CAh4Trnz0dSsWIpo8MTySRbPa5Hjx7lqaeesiatAKmpqdZ/N2zYkGeeeYbRo0ffe4Q2qFOnDh06dKBq1ao0bNiQBQsWUKBAAb799ttb1h8+fDje3t6ZHsOH37qu5AyTJs3jzJmLvP9+B6NDcTjHj59m5cqtvPFGG6NDcXipqWl88808vprQl7XrpjB9+lB6f/QlV6PjjA5NcoFf5q/i+ecbWxN9ubNJk+Zx+sxFeulzXe7RrFmf8etv41iwYAy+vl706T3u33d6SOTL58m4cb0ZM2YGL73Uk81b9vLII0VxdtLn1L0ymyyGPXKrbN/j6uPjY/23p6cnV65cybS9bNmyrF69+q6P6+/vj5OTE5GRkZnKIyMjbb6H1cXFhWrVqvHnn3/ecnvfvn3p1atXpjI3tzN3Has4hilTFrBy5TamT/8UDw/NJv3/7d59iPPno2jWrDsAly5d5c8/JxIVdZV27Z42ODrHcuTIX0RFRVOr1qMAVKpcmoCA/Bw+cpK6dasZHJ3jKVTIn0uXoklNTcPZ2QmLxcLFi5coFFTA6NAcTkLCdZYt28L8+V8YHUqOMGXKQlat3M606UPw8HAzOhzJ4YL+/kxycXGmQ8cWPNXsTYMjciyPPVaZxx6rDEBycgr16nag1CNFDY5KJKts9bgWLlyYc+fOWZ+XKlWKHTt2ZKpz8OBBPD097/rYrq6u1KhRgzVr1ljL0tPTWbNmDXXq2DYLalpaGgcOHKBQoUK33O7m5oaXl1emh4YJ50zTpi1i6dKNTJv2KV5eeY0OxyG1a/c0mzfPYO3aKaxdO4WqVcvy6advKWm9hUKF/LkUdZWTJ88CcPr0Bc6ejaBEiay3HAjkz+9DhYql+PXX9QCsWLGVgAB/DRO+hWW/b6JcuWBKltJr6d/c/FyfOm2IPtflniUm3iAuLt76fOnSTVSooEma/ikqKtr6768nziXkscr6HBeHZLJYLHfdn9ylSxc2bdrE8ePHARg0aBBDhw7ltdde47nnnmPz5s2MHDmSli1bMm/evLsOau7cuXTs2JFvv/2W2rVrM3bsWObNm8fRo0cJCAigQ4cOFC5cmOHDM2aPHTJkCI899hiPPPIIMTExjBo1ikWLFhEWFkaFChVsPOvxu47zfhk4cALr1+/m8uWr+Ph44enpwapVk40Oy+FERFymYcNXKVo0EE9PDwBcXV34+Wf1aNxJ+/Z96djxOYdZDseCYw1pWbJkA99+Ox+zyUS6xUK3bq1o0aKh0WEZbuDAiWywfi7lw9PTg5WrJvPXX+fo23ccMTHXyOuZh8+Gv0PZssFGh+tw2rb9iNatn6Rly9B/r/yQuNVrasbMz2jUsHOWz/V5Pz+YW48c0e3ee7crN1a6oWcfOPBrNqwPy9QmU6YO5p23R5CWlo4FC0WLBNLv4y4UKRLw7we8rxxnsZQB/Sewe/ch0tLSqFq1HP0HdHOYH41M5NyVEF7bvN6wc39fr5Fh576fspW4rl+/nhEjRjBp0iSKFy9OfHw8DRs2ZO/evZhMJiwWC8HBwaxbt47ixYtnK7AJEyYwatQoIiIiqFq1KuPHjyckJGOChkaNGhEcHMz06dMB6NmzJwsWLCAiIgJfX19q1KjB0KFDqVbtbob2OU7iKvIwcbTEVUREssvYxDVncZzE1ZEpcc0eJa7/IiUlhcWLF3Py5EmKFy9OixYtsjVU2DhKXEWMoMRVRCS3UOJqOyWutsjJiWs3AxPXybk0cc325Ez/n4uLC61atbLX4UREREREREQAOySuV65c4Y8//iA2NhZvb2+qVKlC/vz57RGbiIiIiIiISPYT1/DwcN59912WLl3KP0cbm0wmnn32WcaOHUtwcLA9YhQREREREckxcvN6qkbJVuJ68uRJ6tatS1RUFKVLl6Zu3boEBAQQGRnJ1q1b+fXXX9m+ffv/tXf38TXX/x/Hn2ezDWPG2AUJJTQXKWaGXDWmqC8pXfi6SnRBYREiF+XbJPkuqVCiKxf5llKJNNGFleI75XJICBuGLWKb7f37w2/n22nDMYfPZ9vj3u3cvnzO55zzOq/v+XyO13m9P++31q5dq2uuYcpxAAAAAEDhFapwHTlypA4fPqyZM2dqwIABcjgczvuMMZo9e7YeffRRjRw5UosXL/ZYsAAAAABgd16OC++Di1OowjUhIUF33HGHBg4cmO8+h8Ohhx56SMuWLdOXX355yQECAAAAAEq2Qs3FnZOTo/r16593nwYNGignJ6dQQQEAAAAAkKdQHdebbrpJmzdvPu8+mzdvVtOmTQsVFAAAAAAUVQwV9rxCdVz/9a9/6fPPP9cbb7xR4P2zZ8/WihUrNGnSpEsKDgAAAAAAtzquzzzzTL5t7dq100MPPaQXX3zRZVbh7777TsnJyYqJiVFCQoJatGjh8aABAAAAwK4K1R3EeTnMXxdhPQcvr8Kl3uFwFKHrXJOtDgAokYxY5wwAiodcqwMoQihr3OFQXatDKLTHE7+y7LWnR7Wz7LUvJ7c6rl99ZV3iAQAAAKAo8XLww7ynuVW4tmnT5nLHAQAAAABAgQo1TuGaa67R4MGDPR0LAAAAAAD5FGo5nCNHjqh8+fKejgUAAAAAijyWw/G8QnVcGzVqpORkJjMCAAAAAFx+hSpcR44cqU8++YRJmwAAAADgb7wsvBVXhRoqfOzYMXXs2FEdO3ZU165dFRERoZCQEDkc+XvivXv3vuQgAQAAAAAll1vruP6dl5eXHA6H/v7QvxauxhjWcQVwQazjCgDFBeu4uq8498U8pyiv4zr8h1WWvfbUyPaWvfblVKiO69y5cz0dBwAAAAAUC0zO5HmFKlz79Onj6TgAAAAAAChQoQpXAAAAAEDBHA4uhfK0QhWue/fudXvfq6++ujAvAQAAAACApEIWrjVr1ixwBuG/czgcOnPmTGFeAgAAAACKJK5x9bxCFa69e/cusHBNT0/Xxo0btXv3brVp00Y1a9a81PgAAAAAACVcoQrXefPmnfM+Y4xefPFFTZkyRXPmzClsXAAAAAAASLoMi0g5HA4NHz5c9evX14gRIzz99AAAAABga14W3i7G/v379c9//lNBQUEqU6aMGjZsqJ9++sl5vzFG48aNU1hYmMqUKaPo6Gjt2LHD5TmOHj2qnj17KiAgQIGBgerfv79OnDhxkZFc2GVb/bhp06Zatcq6hXcBAAAAAAU7duyYWrZsKR8fH33++efasmWLXnzxRVWsWNG5z5QpUzR9+nTNnDlTP/zwg/z9/RUTE6PTp0879+nZs6c2b96slStX6tNPP9XXX3+tgQMHejzey7Yczq5du5iYCQAAAECJ41UElsN5/vnnVb16dc2dO9e5rVatWs4/G2MUHx+vsWPH6h//+Ick6e2331ZISIg++ugj3Xvvvdq6dauWL1+uH3/8UU2bNpUkvfzyy7rttts0depUVa1a1WPxerTjmpubq3379unZZ5/Vxx9/rKioKE8+PQAAAADgPDIzM5WRkeFyy8zMzLff0qVL1bRpU919990KDg7WjTfeqNdff915/+7du5WSkqLo6GjntgoVKigyMlKJiYmSpMTERAUGBjqLVkmKjo6Wl5eXfvjhB4++r0IVrl5eXvL29s538/HxUc2aNTV+/HgFBgbqxRdf9GiwAAAAAIBzi4uLU4UKFVxucXFx+fb79ddf9dprr+m6667TihUr9Mgjj+jxxx/XW2+9JUlKSUmRJIWEhLg8LiQkxHlfSkqKgoODXe4vVaqUKlWq5NzHUwo1VLh169YFLofj5eWlihUrKiIiQv369cv3JgAAAACguLNyHdfRo0crNjbWZZufn1++/XJzc9W0aVM999xzkqQbb7xRmzZt0syZM9WnT58rEuvFKFThunr1ag+HAQAAAAC4VH5+fgUWqn8XFham8PBwl23XX3+9PvjgA0lSaGioJCk1NVVhYWHOfVJTU9W4cWPnPocOHXJ5jjNnzujo0aPOx3tKoQrXvXv3KjAwUAEBAefc548//tCxY8d09dVXFzo4AMWfQxb+JAkA8CBvqwMAbMPKjqu7WrZsqe3bt7tsS05OVo0aNSSdnagpNDRUCQkJzkI1IyNDP/zwgx555BFJUlRUlI4fP67169erSZMmkqRVq1YpNzdXkZGRHo23UNe41qpVS/Hx8efdZ/r06S6zUgEAAAAA7GHYsGH6/vvv9dxzz2nnzp2aP3++Zs+erUGDBkmSHA6Hhg4dqkmTJmnp0qX65Zdf1Lt3b1WtWlVdu3aVdLZD26lTJw0YMEDr1q3Td999p8GDB+vee+/16IzCUiE7rsZceHpnd/YBAAAAgOKmKIw/iIiI0JIlSzR69Gg988wzzuZkz549nfs8+eSTOnnypAYOHKjjx4+rVatWWr58uUqXLu3c57333tPgwYN1yy23yMvLS927d9f06dM9Hu9lW8f1999/V/ny5S/X0wMAAAAALkGXLl3UpUuXc97vcDj0zDPP6JlnnjnnPpUqVdL8+fMvR3gu3C5c/x7suSZoysnJ0b59+7Rw4UI1b978koIDAAAAAMBh3BzT6+X1v8thHQ7HBYcCV61aVUuWLFFERMSlRXjFJFsdAAAAAACnOlYHUGjPJa207LWfatzBste+nNzuuH711VeSzl672r59e/Xt27fA9X28vb1VqVIl1atXz6XYBQAAAACgMNwuXNu0aeP88/jx49WuXTu1bt36sgQFAAAAAEVVUVgOp6gp1ORM8+bN06FDhyhcAQAAAACXXaHG8qalpSkgIMDTsQAAAAAAkE+hOq6NGjVScjKTGQEAAADA3zFU2PMK1XEdOXKkPvnkE+eETQAAAAAAXC6F6rgeO3ZMHTt2VMeOHdW1a1dFREQoJCREDkf+nxZ69+59yUECAAAAQFHhTcfV49xex/WvvLy8ClzL9a+FqzFGDodDOTk5lx7lFcHQZwAAAMA+iu46ri/+Yt06rk80LOHruP7V3LlzPR0HAAAAABQLXOPqeYUqXPv06ePpOAAAAAAAKFChJmcCAAAAAOBKuaTCdcmSJerRo4caNWqk2rVrO7dv27ZNU6ZM0f79+y85QAAAAAAoSrwcxrJbcVWoocK5ubm677779J///EeSVKZMGZ06dcp5f8WKFTVmzBjl5ORo9OjRnokUAAAAAFAiFarj+u9//1uLFy/WQw89pGPHjmn48OEu94eEhOjmm2/WZ5995pEgAQAAAKCo8HJYdyuuClW4zps3TxEREXr11VcVEBBQ4PqttWvX1u7duy85QAAAAABAyVaownXnzp26+eabz7tPUFCQ0tLSChUUAAAAAAB5CnWNa5kyZZSenn7effbs2aPAwMDCPD0AAAAAFFneVgdQDBWq43rjjTdqxYoVOn36dIH3Hz16VMuXL1fz5s0vKTgAAAAAAApVuD7++OP6/fff1b17d/3+++8u9+3atUvdunVTenq6Hn/8cY8ECQAAAABFBZMzeV6hhgr/4x//0MiRI/X888+rRo0a8vf3lyQFBwcrLS1Nxhg9/fTTat++vUeDBQAAAACUPIXquEpSXFycVqxYoS5duqhs2bLy9vZWbm6uOnXqpM8//1wTJ070ZJwAAAAAUCR4OYxlt+KqUB3XPB06dFCHDh08FQsAAAAAAPlcVMc1MTFR7du3V/ny5RUQEKAOHTpo3bp1lys2AAAAAADc77j+8ssvuuWWW1xmEk5ISNDatWu1bt061a9f/7IECAAAAABFiXcxniTJKm53XCdPnqzTp09rzJgxSklJUUpKip5++mmdOnVKzz///OWMEQAAAABQgjmMMW5dwXv11VerZs2a+vrrr122t2nTRr/99pv27NlzWQK8cpKtDgAAAACAUx2rAyi0uckrLHvtfnViLHvty8ntjmtqaqqaN2+eb3tkZKRSU1M9GhQAAAAAAHncLlyzs7NVrly5fNv9/f2VnZ3t0aBeeeUV1axZU6VLl1ZkZOQFJ4A6fvy4Bg0apLCwMPn5+alOnTpatmyZR2MCAAAAAFjjkpbDuRwWLVqk2NhYzZw5U5GRkYqPj1dMTIy2b9+u4ODgfPtnZWWpQ4cOCg4O1n/+8x9Vq1ZNe/bsUWBg4JUP3oN+++2ARo36t44dy1C5cmU1efJQXXddDavDsp0HHnhahw8fl5eXQ/7+ZTR27ECFh19rdVi2M2nSLK1atU779x/SRx+9pOuvv8bqkGyJPLknMzNLw4ZN0a5d++Tn56ugoEBNmPCIatSoanVotsT5/OJ88MGXeuqpl/TKK08pOjrK6nBsie++C+M85R7ydPl4MTmTx7l9jauXl5dq166t2rVru2zfuXOndu3apZiY/GOpHQ6HPvvss4sKKDIyUhEREZoxY4YkKTc3V9WrV9djjz2mUaNG5dt/5syZeuGFF7Rt2zb5+Phc1Gu5stc1rr17j1HXru10553RWr78O73++n/0wQf/tjos28nIOKGAgLMjAVauTNTLL8/X0qUvWxyV/fz44yZVrx6q++8fqVdeGUNBdg7kyT2ZmVn6/vuf1bp1EzkcDr377qdaseI7vfNOnNWh2RLnc/f9/nuqhg+fKmOMBgzoTuF6Dnz3XRjnKffYP09F9xrXt3ZYd41rn+tK+DWu0tkidfny5S63nTt3yhiTb3ve7WJkZWVp/fr1io6O/l+AXl6Kjo5WYmJigY9ZunSpoqKiNGjQIIWEhKhBgwZ67rnnlJOTc1GvbSdpace1adMO3XFHO0lSTEwLpaQc0Z49ByyOzH7yvrgl6Y8/Tsrh4OetgkRENFBoaGWrw7A98uQePz9ftWnT1Hm83XBDXe3ff8jiqOyJ87n7cnNzNXbsyxo79iH5+l7KD9HFH999F8Z5yj3k6fLxclh3K67cHiq8e/fuyxmHJOnIkSPKyclRSEiIy/aQkBBt27atwMf8+uuvWrVqlXr27Klly5Zp586devTRR5Wdna3x48cX+JjMzExlZma6bPPzy5Kfn69n3sglOnjwiKpUqaRSpbwlne1ch4VV0YEDhxm6UYAnn5ymH374RZI0e3bB/58DuHzefnup2rePtDoMW+J87r65cz/STTddrwYNal94Z/Ddd5E4T7mHPMHO3C5ca9Sw5/U4ubm5Cg4O1uzZs+Xt7a0mTZpo//79euGFF85ZuMbFxWnixIku28aPH6wJEx67EiHDw6ZMiZUkLVmSoKlT5+n11ydYGxBQgsyc+b727j2oefMGWR0KirDk5D364ou1evfdyVaHUmTw3ec+zlPuIU+e5e1w62pMXARbTc5UuXJleXt751teJzU1VaGhoQU+JiwsTD4+PvL29nZuu/7665WSkqKsrCz5+ubvoo4ePVqxsbEu2/z89nrgHXhGWFhlHT58VGfO5KhUKW8ZY3Tw4GFVrVrF6tBsrVu3WzR+/Ks6dixDFSsGWB0OUOzNmfOhvvgiUfPmPasyZUpbHY4tcT53z08/bdb+/YcUE/OQJOnw4WPaufMVHTp0TPfff5vF0dkb333nx3nKPeQJRcFFXeN6ufn6+qpJkyZKSEhwbsvNzVVCQoKiogqeoKFly5bauXOncnNznduSk5MVFhZWYNEqSX5+fgoICHC52WWYsCQFBQWqfv1rtXTpV5KkFSvWKiSkMsPK/iYj44RSU9Ocf//yy0QFBpZXYGB5C6MCSoa5cz/SZ599rblzn3W53g6uOJ+75/77b9O3376tVavmaNWqOWrcuK6efXYQRWsB+O5zH+cp95AnFBVuzyp8pSxatEh9+vTRrFmz1KxZM8XHx+v999/Xtm3bFBISot69e6tatWqKizs729m+fftUv3599enTR4899ph27NihBx54QI8//rjGjBlzEa9sr1mFf/31d40eHa/jx/+Qv39ZxcUNUd26Na0Oy1b27z+kIUMmKzMzSw6HQ5UqVdDIkQ8wE2wBxo2bodWrf9KRI8cUGBggf/8yWrlyttVh2Q55ck9KyhG1adNP1auHyt+/jCTJ19dHixe/aHFk9sT5/OL16jVaffrcwazCBeC7zz2cp9xj/zwV3VmFF+66uElqPeneaztZ9tqXk+0KV0maMWOGXnjhBaWkpKhx48aaPn26IiPPXijetm1b1axZU/PmzXPun5iYqGHDhikpKUnVqlVT//79NXLkSJfhwxdmr8IVAAAAKNkoXAuDwrXYo3AFAAAA7KPoFq7v/2pd4drjmuJZuNrqGlcAAAAAAP6OwhUAAAAAYGu2Wg4HAAAAAIo6L4fVERQ/dFwBAAAAALZGxxUAAAAAPMjbwfy3nkbHFQAAAABgaxSuAAAAAABbY6gwAAAAAHgQkzN5Hh1XAAAAAICt0XEFAAAAAA+i4+p5dFwBAAAAALZGxxUAAAAAPIiOq+fRcQUAAAAA2BqFKwAAAADA1hgqDAAAAAAe5M1QYY+j4woAAAAAsDU6rgAAAADgQV4OY3UIxQ4dVwAAAACArVG4AgAAAABsjaHCAAAAAOBBdAc9j5wCAAAAAGyNjisAAAAAeJAXy+F4HB1XAAAAAICt0XEFAAAAAA/ypuPqcXRcAQAAAAC2RuEKAAAAALA1hgoDAAAAgAd5OYzVIRQ7dFwBAAAAoISbPHmyHA6Hhg4d6tx2+vRpDRo0SEFBQSpXrpy6d++u1NRUl8ft3btXnTt3VtmyZRUcHKwRI0bozJkzHo+PwhUAAAAAPMjLYd2tMH788UfNmjVLjRo1ctk+bNgwffLJJ1q8eLHWrFmjAwcO6M4773Ten5OTo86dOysrK0tr167VW2+9pXnz5mncuHGXkr4CUbgCAAAAQAl14sQJ9ezZU6+//roqVqzo3J6enq45c+Zo2rRpat++vZo0aaK5c+dq7dq1+v777yVJX3zxhbZs2aJ3331XjRs31q233qpnn31Wr7zyirKysjwaJ4UrAAAAABQTmZmZysjIcLllZmaec/9Bgwapc+fOio6Odtm+fv16ZWdnu2yvV6+err76aiUmJkqSEhMT1bBhQ4WEhDj3iYmJUUZGhjZv3uzR90XhCgAAAAAeZOVQ4bi4OFWoUMHlFhcXV2CcCxcu1IYNGwq8PyUlRb6+vgoMDHTZHhISopSUFOc+fy1a8+7Pu8+TmFUYAAAAAIqJ0aNHKzY21mWbn59fvv327dunIUOGaOXKlSpduvSVCq/Q6LgCAAAAgAd5WXjz8/NTQECAy62gwnX9+vU6dOiQbrrpJpUqVUqlSpXSmjVrNH36dJUqVUohISHKysrS8ePHXR6Xmpqq0NBQSVJoaGi+WYbz/p63j6dQuAIAAABACXPLLbfol19+UVJSkvPWtGlT9ezZ0/lnHx8fJSQkOB+zfft27d27V1FRUZKkqKgo/fLLLzp06JBzn5UrVyogIEDh4eEejZehwgAAAADgQY5CLktzJZUvX14NGjRw2ebv76+goCDn9v79+ys2NlaVKlVSQECAHnvsMUVFRal58+aSpI4dOyo8PFy9evXSlClTlJKSorFjx2rQoEEFdnkvBYUrAAAAACCff//73/Ly8lL37t2VmZmpmJgYvfrqq877vb299emnn+qRRx5RVFSU/P391adPHz3zzDMej8VhjDEef9YiKdnqAAAAAAA41bE6gEJbd/gzy167WZXOlr325UTHFQAAAAA8qAiMFC5ymJwJAAAAAGBrdFwBAAAAwIOKwuRMRQ0dVwAAAACArVG4AgAAAABsjaHCAAAAAOBBdAc9j5wCAAAAAGyNjisAAAAAeJDDYawOodih4woAAAAAsDU6rgAAAADgQayG43l0XAEAAAAAtkbhCgAAAACwNYYKAwAAAIAHORgr7HF0XAEAAAAAtkbHFQAAAAA8iIar59FxBQAAAADYGoUrAAAAAMDWGCoMAAAAAB7kxVhhj6PjCgAAAACwNTquAAAAAOBBNFw9j44rAAAAAMDW6LgCAAAAgAc5aLl6HB1XAAAAAICtUbgCAAAAAGyNocIAAAAA4EGMFPY8Oq4AAAAAAFuj4woAAAAAHkTH1fPouAIAAAAAbM22hesrr7yimjVrqnTp0oqMjNS6devOuW/btm3lcDjy3Tp37nwFIwYAAAAAXA62HCq8aNEixcbGaubMmYqMjFR8fLxiYmK0fft2BQcH59v/ww8/VFZWlvPvaWlpuuGGG3T33XdfybA96rffDmjUqH/r2LEMlStXVpMnD9V119WwOizbIU/umTRpllatWqf9+w/po49e0vXXX2N1SLaUmZmlYcOmaNeuffLz81VQUKAmTHhENWpUtTo02+HYcw/HnvvIlfs4/i6Mz5N7+N67fLwYK+xxtuy4Tps2TQMGDFC/fv0UHh6umTNnqmzZsnrzzTcL3L9SpUoKDQ113lauXKmyZcsW6cJ13LhX1KNHjFasmKUBA+7SqFHxVodkS+TJPTExLTV//vOqVi3/Dz9wdc89nbR8+UwtXfqybrklUmPHvmx1SLbEsecejj33kSv3cfxdGJ8n9/G9h6LCdoVrVlaW1q9fr+joaOc2Ly8vRUdHKzEx0a3nmDNnju699175+/tfrjAvq7S049q0aYfuuKOdJCkmpoVSUo5oz54DFkdmL+TJfRERDRQaWtnqMGzPz89Xbdo0lcNx9mfSG26oq/37D1kclf1w7LmPY8995Mo9HH/u4fPkHr73Lh+HhbfiynaF65EjR5STk6OQkBCX7SEhIUpJSbng49etW6dNmzbpwQcfPOc+mZmZysjIcLllZmadc/8r7eDBI6pSpZJKlfKWJDkcDoWFVdGBA4ctjsxeyBMut7ffXqr27SOtDsN2OPYA63D84XLiew92ZrvC9VLNmTNHDRs2VLNmzc65T1xcnCpUqOByi4ubdQWjBGB3M2e+r717D+qJJ3pbHQoAAJcd33ue5XAYy27Fle0mZ6pcubK8vb2Vmprqsj01NVWhoaHnfezJkye1cOFCPfPMM+fdb/To0YqNjXXZ5ue3t3ABXwZhYZV1+PBRnTmTo1KlvGWM0cGDh1W1ahWrQ7MV8oTLZc6cD/XFF4maN+9ZlSlT2upwbIdjD7AOxx8uB773UBTYruPq6+urJk2aKCEhwbktNzdXCQkJioqKOu9jFy9erMzMTP3zn/88735+fn4KCAhwufn5+Xokfk8ICgpU/frXaunSryRJK1asVUhIZWZ4+xvyhMth7tyP9NlnX2vu3GcVEFDO6nBsiWMPsA7HHzyN7z0UFQ5jjO36yYsWLVKfPn00a9YsNWvWTPHx8Xr//fe1bds2hYSEqHfv3qpWrZri4uJcHnfzzTerWrVqWrhwYSFeNdkzwXvIr7/+rtGj43X8+B/y9y+ruLghqlu3ptVh2Q55cs+4cTO0evVPOnLkmAIDA+TvX0YrV862OizbSUk5ojZt+ql69VD5+5eRJPn6+mjx4hctjsx+OPbcw7HnPnLlPo6/C+Pz5B77f+/VsTqAQtuV8Yllr31twO2WvfblZMvCVZJmzJihF154QSkpKWrcuLGmT5+uyMizF4u3bdtWNWvW1Lx585z7b9++XfXq1dMXX3yhDh06FOIV7VW4AgAAACUbhWthULgWexSuAAAAgH0U3cL11z+sK1yvKV88C1fbXeMKAAAAAMBfUbgCAAAAAGzNdsvhAAAAAEBRRnfQ88gpAAAAAMDW6LgCAAAAgAc5HFZHUPzQcQUAAAAA2BqFKwAAAADA1hgqDAAAAAAexEhhz6PjCgAAAACwNTquAAAAAOBBTM7keXRcAQAAAAC2RscVAAAAADyIhqvn0XEFAAAAANgahSsAAAAAwNYYKgwAAAAAHuTFWGGPo+MKAAAAALA1Oq4AAAAA4EE0XD2PjisAAAAAwNYoXAEAAAAAtsZQYQAAAADwIIfDWB1CsUPHFQAAAABga3RcAQAAAMCDmJzJ8+i4AgAAAABsjY4rAAAAAHiQg5arx9FxBQAAAADYGoUrAAAAAMDWGCoMAAAAAB7ESGHPo+MKAAAAALA1ClcAAAAA8CAvC2/uiouLU0REhMqXL6/g4GB17dpV27dvd9nn9OnTGjRokIKCglSuXDl1795dqampLvvs3btXnTt3VtmyZRUcHKwRI0bozJkzFxGJeyhcAQAAAKCEWbNmjQYNGqTvv/9eK1euVHZ2tjp27KiTJ0869xk2bJg++eQTLV68WGvWrNGBAwd05513Ou/PyclR586dlZWVpbVr1+qtt97SvHnzNG7cOI/H6zDGGI8/a5GUbHUAAAAAAJzqWB1AoaWdXmrZaweVvqNQjzt8+LCCg4O1Zs0atW7dWunp6apSpYrmz5+vu+66S5K0bds2XX/99UpMTFTz5s31+eefq0uXLjpw4IBCQkIkSTNnztTIkSN1+PBh+fr6eux90XEFAAAAAA9yOKy7ZWZmKiMjw+WWmZl5wZjT09MlSZUqVZIkrV+/XtnZ2YqOjnbuU69ePV199dVKTEyUJCUmJqphw4bOolWSYmJilJGRoc2bN3sypRSuAAAAAFBcxMXFqUKFCi63uLi48z4mNzdXQ4cOVcuWLdWgQQNJUkpKinx9fRUYGOiyb0hIiFJSUpz7/LVozbs/7z5PYjkcAAAAAPAo6xbEGT16tGJjY122+fn5nfcxgwYN0qZNm/Ttt99eztAuCYUrAAAAABQTfn5+FyxU/2rw4MH69NNP9fXXX+uqq65ybg8NDVVWVpaOHz/u0nVNTU1VaGioc59169a5PF/erMN5+3gKQ4UBAAAAwIMcFv7nLmOMBg8erCVLlmjVqlWqVauWy/1NmjSRj4+PEhISnNu2b9+uvXv3KioqSpIUFRWlX375RYcOHXLus3LlSgUEBCg8PPwSs+iKjisAAAAAlDCDBg3S/Pnz9fHHH6t8+fLOa1IrVKigMmXKqEKFCurfv79iY2NVqVIlBQQE6LHHHlNUVJSaN28uSerYsaPCw8PVq1cvTZkyRSkpKRo7dqwGDRp0UV1fd7AcjhPL4QAAAAD2UXSXwzmW+allr13Rr4tb+zkcBXdn586dq759+0qSTp8+rSeeeEILFixQZmamYmJi9Oqrr7oMA96zZ48eeeQRrV69Wv7+/urTp48mT56sUqU82yOlcHWicAUAAADso+gWrsezlln22oG+t1n22pcT17gCAAAAAGyNa1wBAAAAwKOsWw6nuKLjCgAAAACwNQpXAAAAAICtMVQYAAAAADzoYtZThXvouAIAAAAAbI2OKwAAAAB4FB1XT6PjCgAAAACwNTquAAAAAOBBDgf9QU8jowAAAAAAW6NwBQAAAADYGkOFAQAAAMCjmJzJ0+i4AgAAAABsjY4rAAAAAHiQg46rx9FxBQAAAADYGoUrAAAAAMDWGCoMAAAAAB7EUGHPo+MKAAAAALA1Oq4AAAAA4FH0Bz2NjAIAAAAAbI2OKwAAAAB4kMPBNa6eRscVAAAAAGBrFK4AAAAAAFtjqDAAAAAAeBRDhT2NjisAAAAAwNbouAIAAACABznouHocHVcAAAAAgK3ZsnB95ZVXVLNmTZUuXVqRkZFat27defePj49X3bp1VaZMGVWvXl3Dhg3T6dOnr1C0AAAAAIDLyXZDhRctWqTY2FjNnDlTkZGRio+PV0xMjLZv367g4OB8+8+fP1+jRo3Sm2++qRYtWig5OVl9+/aVw+HQtGnTLHgHnvHbbwc0atS/dexYhsqVK6vJk4fquutqWB2W7UyaNEurVq3T/v2H9NFHL+n666+xOiTb4jPlHvLkHo499/GZcg95cg/Hnvv4TF1YZmaWhg2bol279snPz1dBQYGaMOER1ahR1erQigFb9geLNNtldNq0aRowYID69eun8PBwzZw5U2XLltWbb75Z4P5r165Vy5Ytdf/996tmzZrq2LGj7rvvvgt2ae1u3LhX1KNHjFasmKUBA+7SqFHxVodkSzExLTV//vOqVi3/jxpwxWfKPeTJPRx77uMz5R7y5B6OPffxmXLPPfd00vLlM7V06cu65ZZIjR37stUhAQWyVeGalZWl9evXKzo62rnNy8tL0dHRSkxMLPAxLVq00Pr1652F6q+//qply5bptttuuyIxXw5pace1adMO3XFHO0lSTEwLpaQc0Z49ByyOzH4iIhooNLSy1WHYHp8p95An93HsuYfPlHvIk/s49tzDZ8o9fn6+atOmqRyOsxMJ3XBDXe3ff8jiqIoHh4X/FVe2KlyPHDminJwchYSEuGwPCQlRSkpKgY+5//779cwzz6hVq1by8fHRtddeq7Zt2+qpp5465+tkZmYqIyPD5ZaZmeXR93IpDh48oipVKqlUKW9JksPhUFhYFR04cNjiyFBU8ZlyD3mCp/GZcg95gqfxmSqct99eqvbtI60OAyiQrQrXwli9erWee+45vfrqq9qwYYM+/PBDffbZZ3r22WfP+Zi4uDhVqFDB5RYXN+sKRg0AAADYx8yZ72vv3oN64oneVodSLDgcDstuxZWtJmeqXLmyvL29lZqa6rI9NTVVoaGhBT7m6aefVq9evfTggw9Kkho2bKiTJ09q4MCBGjNmjLy88tfmo0ePVmxsrMs2P7+9HnoXly4srLIOHz6qM2dyVKqUt4wxOnjwsKpWrWJ1aCii+Ey5hzzB0/hMuYc8wdP4TF2cOXM+1BdfJGrevGdVpkxpq8MBCmSrjquvr6+aNGmihIQE57bc3FwlJCQoKiqqwMf8+eef+YpTb++zw0KMMQU+xs/PTwEBAS43Pz9fD72LSxcUFKj69a/V0qVfSZJWrFirkJDKzPCGQuMz5R7yBE/jM+Ue8gRP4zPlvrlzP9Jnn32tuXOfVUBAOavDAc7JYc5V3Vlk0aJF6tOnj2bNmqVmzZopPj5e77//vrZt26aQkBD17t1b1apVU1xcnCRpwoQJmjZtmmbPnq3IyEjt3LlTjzzyiJo0aaJFixZdxCsnX543VEi//vq7Ro+O1/Hjf8jfv6zi4oaobt2aVodlO+PGzdDq1T/pyJFjCgwMkL9/Ga1cOdvqsGyJz5R7yJN7OPbcx2fKPeTJPRx77uMzdWEpKUfUpk0/Va8eKn//MpIkX18fLV78osWR5aljdQCFdjrne8teu7R3c8te+3KyXeEqSTNmzNALL7yglJQUNW7cWNOnT1dk5NkLxdu2bauaNWtq3rx5kqQzZ87oX//6l9555x3t379fVapU0e23365//etfCgwMvIhXtVfhCgAAAJRsFK6FQeFa7FG4AgAAAPZRdAvXzJx1lr22n3czy177crLVNa4AAAAAAPwdhSsAAAAAwNZstRwOAAAAABR9xXc9VavQcQUAAAAA2BodVwAAAADwIIeDjqun0XEFAAAAANgahSsAAAAAwNYYKgwAAAAAHsVQYU+j4woAAAAAsDU6rgAAAADgQQ76gx5HRgEAAAAAtkbHFQAAAAA8imtcPY2OKwAAAADA1ihcAQAAAAC2xlBhAAAAAPAgB0OFPY6OKwAAAADA1ui4AgAAAIAHORx0XD2NjisAAAAAwNYoXAEAAAAAtsZQYQAAAADwKPqDnkZGAQAAAAC2RscVAAAAADyI5XA8j44rAAAAAMDW6LgCAAAAgEfRcfU0Oq4AAAAAAFujcAUAAAAA2BpDhQEAAADAgxwOhgp7Gh1XAAAAAICt0XEFAAAAAI+iP+hpZBQAAAAASqhXXnlFNWvWVOnSpRUZGal169ZZHVKBKFwBAAAAoARatGiRYmNjNX78eG3YsEE33HCDYmJidOjQIatDy8dhjDFWB2EPyVYHAAAAAMCpjtUBXAIrawv38xYZGamIiAjNmDFDkpSbm6vq1avrscce06hRoy5XgIVCxxUAAAAAionMzExlZGS43DIzM/Ptl5WVpfXr1ys6Otq5zcvLS9HR0UpMTLySIbvHwJZOnz5txo8fb06fPm11KLZHrtxDntxHrtxDntxDntxHrtxDntxHrtxDnoqX8ePHG0kut/Hjx+fbb//+/UaSWbt2rcv2ESNGmGbNml2haN3HUGGbysjIUIUKFZSenq6AgACrw7E1cuUe8uQ+cuUe8uQe8uQ+cuUe8uQ+cuUe8lS8ZGZm5uuw+vn5yc/Pz2XbgQMHVK1aNa1du1ZRUVHO7U8++aTWrFmjH3744YrE6y6WwwEAAACAYqKgIrUglStXlre3t1JTU122p6amKjQ09HKFV2hc4woAAAAAJYyvr6+aNGmihIQE57bc3FwlJCS4dGDtgo4rAAAAAJRAsbGx6tOnj5o2bapmzZopPj5eJ0+eVL9+/awOLR8KV5vy8/PT+PHj3Wrzl3Tkyj3kyX3kyj3kyT3kyX3kyj3kyX3kyj3kqeS65557dPjwYY0bN04pKSlq3Lixli9frpCQEKtDy4fJmQAAAAAAtsY1rgAAAAAAW6NwBQAAAADYGoUrAAAAAMDWKFwBAAAAALZG4QoAAAAAsDUK1yKECaABAAAAlEQUrkXAmTNnJEm5ubku/4uLQ+HvHvJ0bn/PDbk6N3J18ciRe8jTuXHcuY9cFQ55gpVYx9Xmtm7dqqlTp+r48eOqXLmyYmNjVbduXavDKhIyMjJ06tQp+fr6qmLFipLOnnAdDofFkdkLeXLP9u3b9d5772nv3r1q1aqVWrVqpXr16ik3N1deXvwG+Ffkyj2nTp1SZmamypcvL29vb0lSTk6O8884izy5h+POfeTKfRx/sBOOThvbvn27IiMjlZOTIz8/P+3cuVONGzfWm2++qT///NPq8Gztl19+0a233qoWLVooJiZGDzzwgM6cOUMx9jfkyT1btmxRZGSktmzZoh07duiNN95Qhw4dlJCQIC8vL36B/gty5Z5Nmzapa9euatGihe644w5NmDBBkuTt7a2cnBxrg7MR8uQejjv3kSv3cfzBbui42tjgwYO1b98+ffzxx5Kk7OxsTZw4UXFxcYqPj9fDDz8sHx8fi6O0nz179igiIkK9e/dWixYttGvXLr3++usqXbq0PvzwQ9WuXdvqEG2BPLknJydHffv2lTFG7777riQpKSlJM2bM0Lx58/Txxx+rc+fO/FIvcuWuX3/9VREREbrvvvvUsGFDJSUlaeXKlbrqqquUkJDg/EdhSe9okCf3cNy5j1y5j+MPtmRgWz179jR9+/Y1xhiTk5Pj3D5p0iTj4+NjPvvss3z3wZgPPvjANG3a1KSnpzu37dq1y0RGRprrr7/epKamGmPIG3lyT1ZWlmnTpo0ZNWqUy/ZDhw6ZRx55xJQuXdokJiZaFJ29kCv3vPHGG6Zt27YmMzPTGHM2b6tWrTK1a9c2zZs3d+5X0o898uQejjv3kSv3cfzBjkr2z0k2V6NGDS1fvlzp6eny8vJSdna2JGnMmDF64IEH9PDDDystLa3E/yr4dwcPHtRvv/2mgIAASWcns7rmmmu0ZMkS+fr66s4775SkEp838uQeHx8fNWjQQGvWrNGxY8ec26tUqaLRo0erc+fOevbZZ5WRkWFhlPZArtyzb98+7d69W76+vpLO5q1t27Z65513dPjwYd11112SOPbIk3s47txHrtzH8Qc74tNmY/369VONGjX06KOPKiMjQz4+Ps7i9cEHH5QxRsnJyRZHaR/m/0e933777fLz89PkyZMlnT2p5ubmKiwsTK+++qpSU1O1aNEiK0O1FHm6eK1bt9apU6c0d+5c/fHHH87t1atX1+23366kpCSlp6dbGKF9kKtzy5sR/rbbbpOPj4/ee+89530Oh0NNmjTRxIkTlZycrO+//96qMC1Hni4ex537yNX5cfzBzihcbWLnzp2aPHmyRo8erQULFujUqVOqXbu2HnzwQSUnJ+uJJ57Q8ePHnde0hoaGys/Pz7lUTkmWmZkp6X/LBgUGBuruu+/WsmXLtGDBAkn/+0WwQYMG8vLy0q5du6wJ1kLkyT2//fabXn/9dc2ZM0crVqyQJPXo0UOtWrXSrFmz9O677+ro0aPO/SMiIlS2bFmXfwCVFOTKPXnHXN6PRtWqVVN4eLgWLFigb775xrmfj4+POnTooN9//10bN260JFYrkSf3cNy5j1y5j+MPRYKV45Rx1qZNm0xgYKBp06aNad26tSlVqpTp1q2b+frrr40xxsTHx5tmzZqZ1q1bm82bN5tffvnFjB071lx99dVm//79FkdvrU2bNplu3bqZ6OhoExMTY1avXm2MMWbPnj2mc+fOpk2bNubNN990eUynTp3M1KlTjTHG5ObmXvGYrUCe3PPzzz+boKAg07x5c3PttdeacuXKmb59+5qMjAxjjDH9+/c3DRo0MEOHDjU7d+40hw8fNk8++aSpU6eOOXLkiMXRX1nkyj1btmwxDzzwgLnzzjvNwIEDzZYtW4wxZ/MXHh5ubr/9drNixQrn/jk5OaZNmzbmnXfesSpkS5An93DcuY9cuY/jD0UFhavF/vzzT9OlSxczaNAg57b169ebpk2bmnbt2jlPFJ988omJjo42vr6+pl69euaaa64x69evtypsW0hOTjYBAQFm4MCBZsSIEeauu+4yDofDjB071pw8edLs3r3b9OjRwzRs2ND885//NO+88455+OGHTUBAgElOTrY6/CuGPLnnjz/+MFFRUeaxxx4zxhhz8OBB8/nnn5tKlSqZW265xTlZ1cSJE83NN99sHA6HadKkiQkNDTUbNmywMvQrjly5Z9u2baZ8+fKmT58+5r777jPt27c3fn5+Zvbs2cYYY5KSkkxERIRp1aqVGTlypFmxYoUZMmSIqVixotm1a5fF0V855Mk9HHfuI1fu4/hDUULhagMtWrQw48ePN8b8b3a2rVu3mrZt25oOHTqYrVu3Ovf94YcfzNatW83BgwetCNVWxo4dazp27Oiybfr06aZSpUpm+PDhJisryxw4cMC88cYb5qabbjIRERGmXbt2JikpyaKIrUGe3HPq1Clz0003mYULF7ps3759u6lcubLp0qWLc1tqaqr5/PPPzbfffmv27dt3pUO1HLlyz6BBg8wdd9zh/HtWVpYZM2aMcTgcZtq0acaYs/9oHDNmjKlTp45p0KCBadq0qfnvf/9rUcTWIE/u4bhzH7lyH8cfihIKV4vkFagZGRmmXbt25pFHHjHGGHPmzBmTnZ1tjDFm8+bN5qqrrnL+YghXTzzxhLMgy8uZMcbMnDnTlC1b1rzyyisu+586dcqcOnXqisZoB+TJPSdOnDDVqlUzEydOdG7LysoyxhizceNG4+/vbyZMmGBVeLZx5swZcuWm8y1pVqpUKbN06VJjzNnjMisryxw5csT88ccflsRqJfLkHo4793COujgcfyhKKFwt8N///td06dLFnDhxwhhjzOLFi43D4TAffPCBMebsiSPvBDt//nxTsWJFs2fPnhJznaG7XnrpJVO+fHnndb55a40Zc3b4j7+/v9mzZ49V4dnG9OnTyZObXnzxRXPVVVeZTz75xLkt71icNGmSiYyMNGlpaSVy3bpjx465/H3atGnk6gKeeuopExoaao4fP26M+V9+jDHmoYceMldddZU5fPiwVeHZxpgxY8iTmzhHnRvnqMLhPIWihFmFr7CNGzeqRYsWql+/vvz9/SVJXbt21aBBg3T//ffrk08+kZeXl3P24MDAQIWGhsrf318Oh8PK0G3n4Ycf1o033qju3bsrLS1Nvr6+On36tCRp4MCBqlSpktavX29xlFfezp079eOPPzr//uCDD6pJkybk6W8OHjyodevWacWKFcrJyZEk3XnnnYqKitKUKVP0xRdfSJLzWKxcubIyMjJUunTpErduXVJSkm6//Xb9/PPPzm233XabWrZsSa7O40JLmknSjh07rAzREnv37tW2bducf+/Tp49q1apFnv6Gc5T7OEcVHucpFCUl+2i9wn7++We1bNlSgwcPdq6dKZ1dF2vChAl68MEH1b17d82cOVMpKSk6ffq0vv76a/n6+pb4E2tycrJGjhypfv366aWXXtKOHTvk6+ur8ePHKzc3V/fcc4+OHj2q0qVLS5L8/Pzk7+/v/JIqKZKSktSkSRMlJSU5t5UpU0bDhw+Xw+EgT//v559/VlRUlHr16qV77rlH9evX18KFC1WtWjU9+eSTqlChgsaOHauFCxdKkrKzs/Xrr78qODjY+Q/IkmLjxo1q1qyZoqKi1KhRI+f2unXrqn///qpYsSK5Ekuaueu///2vmjZtqk2bNjm3XXvtterZs6d27dpFnv4f5yj3cY5yH+cpFHlWt3xLioMHD5rQ0FATExNjjDl7DcbQoUPNrbfeasLDw83LL79svvrqKzN9+nTj6+tratWqZRo1amSqVKlS4ma4+7vNmzebChUqmE6dOpnu3bubChUqmPbt25u3337bGHN2xuVmzZqZWrVqmRUrVphVq1aZsWPHmtDQ0BI1BDYpKcmULVvWxMbG5rvvzJkzZvHixSYyMrLE5+nQoUOmXr165qmnnjK7du0y+/fvN/fcc4+pU6eOmThxojl9+rRJSkoyDz/8sClVqpS54YYbTPPmzU3FihVL3GQUmzZtMmXKlDHjxo0zxpxdFiktLc3s3LnTuU9iYmKJzxVLmrknKSnJ+Pv7m2HDhuW7Lysryzz//PMmMjKyxOeJc5T7OEe5j/MUigMK1yvk4MGDplu3bqZp06bmo48+Mp06dTK33HKLeeKJJ8yjjz5qrr32WvPggw+aEydOmI0bN5pFixaZhQsXmt9++83q0C2VmZlp/vnPf5oBAwY4t+3YscPcc889JiIiwsyaNcsYc3YNsvvuu89UqVLF1KlTx9SvX79ELReUnJxs/Pz8zJgxY4wxZ/8RuHTpUjN79mzz4YcfOidl2rRpU4nOkzFnfwipWbOm+emnn1y2jxw50tSvX99MnTrV5ObmmhMnTpjExETz7LPPmpkzZ5odO3ZYFLE1jhw5YmrXrm1uvPFG57Z+/fqZJk2amLCwMNOqVSvnzNN//PFHic0VS5q5Z+vWraZs2bLmqaeeMsacnehl9erVZsmSJearr74yxpz9ge3jjz8u0XkyhnOUuzhHuY/zFIoLCtcr6MCBA6Z3796mTJkypkOHDi4LXL/77rumQoUKLpMI4KwOHTqYgQMHGmOMc4KqPXv2mL59+5qWLVuaZcuWOffdunWr2b9/f4maSCA7O9s8/vjjJigoyCxevNgYY8xtt91mGjVqZGrWrGm8vLzMnXfeaX7++WfnY0pinvIkJSWZq666yvkr859//um87/HHHzc1atQwGzdutCo8Wxk8eLBp1aqVGT9+vImIiDCdOnUys2fPNkuWLDFRUVGmevXqJe4fgAVhSbPzy8rKMt26dTNVqlQx33//vTHGmNtvv93ccMMNJiQkxPj4+JiHH37YpKenOx9TEvOUZ8OGDZyj3PToo49yjnIT5ykUBxSuV9j+/fvN6NGjTUJCgjHGuMwUXLt2bTN8+HCrQrOdM2fOmKysLNOvXz9z1113mdOnT5vc3FznCXfXrl0mKirK9OjRw/mYkjrzcnJyshk4cKBp3ry5qV69urntttvM1q1bzZ9//ml++uknU61aNdOrVy/n/iU1T3ny1qrNc/r0aeefmzZtau69914rwrKNv86yGRsba0JCQkznzp1NSkqKy37169c3ffr0ucLR2csff/xh2rVrZx5++GFjDEuancv69etNTEyM6dixo6lXr57p1KmT2bBhg9mzZ4/57LPPjK+vrxk5cqTVYVrmwIEDZvPmzc6/53XC8nCO+p8DBw64FO7Dhg3jHHUOLL2I4obC1QLp6ekuS5Lk5uaaI0eOmKioKPPee+9ZGJk9nDlzxuXvq1evNt7e3uall17Kt8/q1auNl5eX2bRp0xWN0Q7+nqedO3eaXr16mc6dO5tt27a53Ld06VLjcDjM9u3br2SItnDixAmTkZHh0s3ZsGGDCQ4ONvfdd59zW96XeGxsrLn99tuveJx2UFCujDFm6tSp5oMPPnD+4JH32evevbu56667rnicVktLSzNbt251Hk+ffPIJS5oVIC0tzWzZssV5Ptq6datp2bKl6dChg9m9e7fLvjNmzDCVK1c2+/btK3F5+v33301QUJDp1q2bSUxMNMacXTavcuXKnKP+pqBcGWPMlClTOEf9DUsvojgq2VPVWiQgIEC+vr7OvzscDk2fPl1HjhxRy5YtLYzMesnJyYqPj9fBgwed29q0aaPnn39ew4YN0xtvvCFJ8vb2liSVL19edevWdS4tVFIUlKdrr71WkyZN0uDBg3XNNddIkowxkqSsrCzVrVtXwcHBlsRrlS1btujOO+9UmzZtdP311+u9996TJF1//fV66aWXtHLlSt19993Kzs52ztx96NAh+fv768yZM878lQQF5Spvxs0nnnhCXbp0cS7J5e3tLWOMHA6HwsPDJanE5GrTpk2Kjo5Wjx491KBBAz3zzDPq0KGDBg8erPvvv1+ffvopS5rpf3m655571LBhQ02cOFH16tXTnDlz9NBDD6latWqSXD83YWFhqly5conKk3R2qZH09HSlp6frtdde03//+181btxYM2bM0PLly9WtWzfOUf/v77n64YcfJEkjRozQrbfeyjnq/7H0Ioot62pmGGPMggULzMCBA03FihVL/OzBO3bsMJUqVTIOh8OMHj3a5frLkydPmokTJxqHw2HGjh1rNmzYYNLS0syoUaNM7dq1zaFDhyyM/Mo6X56MKXgY8PDhw01MTEy+TlpxtnnzZhMUFGSGDRtm3nvvPRMbG2t8fHycx9nJkyfN0qVLzVVXXWXq1atnunbtanr06GH8/f3NL7/8YnH0V9a5cnWuWTezs7PN2LFjTVhYWIm6fiwvT8OHDzebN282U6dONQ6Hw+zfv9/s37/fDBgwwPj4+JjXXnvNHDx40Jw6dcqMGjXK3HDDDebo0aNWh3/FnCtPeZMN/nUoep4hQ4aY7t27m5MnT17pcC2XlpZm7rjjDjNr1ixz0003mfvvv98kJycbY4z56KOPTHh4uKlbt26JPkfl+Xuuevbs6Zy/4a+fq5J6jjLGmI0bNxp/f38zYsQIl+1nzpwxR44cMYMGDeI8hSKLwtViGzduNJ07dy6RQ13/6sSJE+aBBx4wffv2Na+88opxOBxmxIgRLgVpTk6Oeeutt0xoaKipVq2aqVevnqlatWqJmvHuXHn6a/H618J106ZNZsyYMSYgIMBlcqbiLi0tzXTs2NE8/vjjLtvbtm2b7zqejIwM8+STT5oHH3zQDB482OU6s5LAnVz99TP1xRdfmNtvv92EhoaWqB/bDh8+bFq3bm2GDBni3Jabm2tiYmLM999/b37++Wezbt068+qrr5boJc3OladOnTqZ7777znlda56dO3eap59+2gQGBpbI78EzZ86YQ4cOmTp16pjff//dfPjhhyYiIsL079/ftGnTxvTo0cNkZGSY4cOHl9hzVJ5z5WrAgAGmRYsWpnv37sYYY5YvX14iz1HGsPQiir9SVnd8S7pGjRrpww8/dBk6XBJ5eXmpSZMmCgoK0j333KPKlSvr3nvvlXR2CFCVKlXk5eWl3r17q3Xr1tq7d6/+/PNPNWzY0DnkrCQ4X56efPJJl2F2v/32m4YPH67k5GStWbNGDRs2tDL0Kyo7O1vHjx/XXXfdJUnKzc2Vl5eXatWqpaNHj0o6O2zMGKPy5cvr+eefd9mvJHEnV3mfKWOMatWqpfDwcE2ZMkX16tWzLO4rzeFwqFOnTs48SdKkSZP0xRdf6ODBgzp+/LjCw8M1bdo0/fzzz9q4caOMMWrevLlq1KhhYeRX1rnytGLFCqWkpCgtLU3h4eF6+umnFRoaqieeeEIbN27UV199pfr161sYuTW8vLxUpUoVRUREaNOmTerWrZv8/PzUp08fnT59WvHx8SpfvrxeeOEFSSXzHJXnfLnKzMzUgAEDJJ29bOb6668vceeoPFFRUdq3b58+/vhjzZw5U9nZ2WrcuLFq1aql+Ph4tWvXTvHx8WrTpo22bdtWIs9TKMIsLZuBv8ibQCDPwoULjcPhMMOHD3d2FLOzs11+rS+JzpenvCWW8n6Z3r17d4nNV95QO2OMcwKKsWPHusyubIxxGT5dUielcDdXecM4/z4xWEmRkZHh/POCBQuMw+EwixYtMmlpaWb16tWmadOmZty4cRZGaA/ny9OaNWtMRESEmThxosnKyjKrVq3KN1FTSdS7d28zatQoY4wx/fv3NxUrVjTh4eHmgQcecJmEqKSeo/7qfLlat26dMabknqOMYelFFG90XGEbeRMI5OTkyMvLS/fcc4+MMbr//vvlcDg0dOhQTZ06VXv27NHbb7+tsmXLlshJBNzN0+7du7VgwQKVLl3a4oitcd1110k626HIm4DCGKNDhw4594mLi5Ofn58ef/xxlSpVqkR+niT3c+Xr66shQ4aoVKmS+dVRvnx555+joqL0008/6aabbpJ0dhK5kJAQbdiwwarwbON8eWrdurWCg4P1008/ycfHR+3atbMqTFsw/z+BUPv27bV79249+uijWrZsmdavX6+kpCSNGDFCvr6+uvHGG+Xn51diz1GSe7ny8fFRw4YNS+z3nnR2krO4uDhVq1ZN0dHRCgoKcuauZ8+emjBhgtasWaMuXbpYHSpw0Urmvz5ga3mzAebm5uree++Vw+FQr169tHTpUu3atUs//vhjiZtFuCAXytO6detK9Jd3Hi8vL+eXdt7fJWncuHGaNGmS/vvf/5bYQuzvyJX7atSo4Rxal5ubq6ysLJUrV06NGjWyODJ7IU/nl3es1apVS/369VNISIg+/fRT1apVS7Vq1ZLD4dANN9wgPz8/iyO1nru54ntPqlq1qkaNGuXMhcPhkDFGR48eVZUqVXTjjTdaHCFQOA5jStD84ChS8j6aDodDt9xyi5KSkrR69eoSda2mO8jTheVdFzZhwgQdPHhQ1113ncaOHau1a9c6O0E4i1wVzrhx4/TWW2/pyy+/dHawkR95Klh2drbeeecdNW3aVI0aNXL5AQmuyFXhjR8/XgsWLNDKlSu5phVFEj+dw7YcDodycnI0YsQIffXVV0pKSqIYKwB5urC8zqGPj49ef/11BQQE6Ntvv6UQKwC5ujiLFy/WmjVrtHDhQq1cuZJi7BzI0/n5+Piob9++zuOPQuzcyNXFW7hwob766istXrxYCQkJFK0oskrm1HQoUurXr68NGzYwtOwCyNOFxcTESJLWrl2rpk2bWhyNvZEr94SHh+vw4cP65ptvGH53HuTpwkrqbMGFQa4uTnh4uPbv38/xhyKPocKwPYYBuYc8uefkyZNcI+0mcuWe7Oxs56RWODfyBFgnKyurxC+9iKKPwhUAAAAAYGuMtQAAAAAA2BqFKwAAAADA1ihcAQAAAAC2RuEKAAAAALA1ClcAAAAAgK1RuAIAihyHw6G2bdtaHQYAALhCKFwBAE4Oh+Oibu7q27evHA6Hfvvtt8sX/DmsXr06X9x+fn6qWbOm+vXrpx07dlzxmAAAwMUpZXUAAAD7GD9+fL5t8fHxSk9PL/C+oqRJkybq0qWLJCk9PV3fffed5s2bpw8//FDr1q1T3bp1LY4QAACcC4UrAMBpwoQJ+bbNmzdP6enpBd5XlDRt2jTfe3j44Yc1a9YsPffcc3rrrbesCQwAAFwQQ4UBAIVy5MgRDR06VLVq1ZKfn5+Cg4PVo0cPbdq0yWW/mjVrOovCWrVqOYfr/vUa1SVLlui+++5T7dq1VbZsWVWoUEE333yzPvjgg8v6Hvr37y9JWr9+fb6Ya9asWeBj2rZtm2+Y9IQJE+RwOLR69WrNnz9fjRs3VpkyZRQWFqYhQ4bo1KlT+Z7ngw8+UJs2bRQcHKzSpUuratWqio6OvuzvGQCAooiOKwDgoh0+fFhRUVHatWuX2rZtq3vvvVe7d+/Wf/7zH3322WdasWKFWrVqJUkaOnSo5s2bp40bN2rIkCEKDAyUJJfCcPTo0fL19VWrVq0UFhamw4cPa+nSpbrrrrs0ffp0PfbYY5f1/ZQq5ZmvwxkzZmj58uX6xz/+ofbt22v58uWaPn26jhw5ovfee8+532uvvaZHH31UYWFh6tatm4KCgpSSkqJ169ZpyZIl6t69u0fiAQCguKBwBQBctJEjR2rXrl0aPXq0nnvuOef2ZcuWqXPnzurXr5+2b98uLy8vDR06VElJSdq4caOGDh1aYCdz2bJluuaaa1y2nThxQi1atNDTTz+t/v37q2zZsh5/H3PmzJEkZ5F9qb788kutX7/eeb3sv/71LzVu3FgLFy7UCy+8oKpVq0qS3njjDfn6+iopKUnBwcEuz5GWluaRWAAAKE4YKgwAuChZWVlasGCBgoKCNHbsWJf7brvtNnXo0EE7d+7Ud9995/Zz/r1olaRy5cqpb9++Sk9P148//njJcf/000+aMGGCJkyYoNjYWDVr1kyzZs1SnTp18r2PwhoyZIjLJE9lypTRfffdp9zc3HzDkX18fOTj45PvOYKCgjwSCwAAxQkdVwDARdm2bZtOnz6tdu3aFdgFbdeunVauXKmkpCTdfPPNbj3noUOHNHnyZH3++efas2dPvmtCDxw4cMlxr1+/Pl/xWLduXX377beqXLnyJT+/dHbm4r+76qqrJEnHjx93brv33nv15JNPqkGDBrr//vvVrl07tWrVSgEBAR6JAwCA4oaOKwDgomRkZEiSQkJCCrw/LCzMZb8LOXr0qCIiIvTvf/9bQUFB6t+/v8aOHavx48frH//4hyQpMzPzkuN+6KGHZIxRbm6u9u/fr+HDh2v79u26++67lZOTc8nPL6nAwjPv+tm/vsbw4cM1Z84cVa1aVS+++KI6d+6soKAgde3aVbt37/ZILAAAFCd0XAEAFyWvOEtNTS3w/pSUFJf9LmTOnDnau3evnn322XxDdidPnqyPP/74EqLNz+FwqGrVqnrhhReUkpKid999Vy+//LKGDh3q3MfLy0tZWVkFPj49Pd0jMTzwwAN64IEHlJaWpm+++UYLFizQ+++/rx07dujnn3+Wt7f3Jb8OAADFBR1XAMBFqVevnkqXLq0ff/xRf/75Z777V69eLUlq3Lixc1teEVZQZ3PXrl2S5Oyu/tU333zjgYjPbcqUKSpTpowmTZqkP/74w7m9YsWKOnTokM6cOeOy/8mTJ7Vjxw6PxpDXaV20aJHat2+vLVu2aOfOnR59DQAAijoKVwDARfH19dV9992nI0eOKC4uzuW+5cuXa8WKFapdu7Zatmzp3F6pUiVJ0r59+/I9X40aNSRJ3377rcv2+fPna9myZZ4O30VYWJgefvhhpaWlKT4+3rk9IiJC2dnZLkvYGGM0evRonTx58pJfd/Xq1TLGuGzLzs7W0aNHJUmlS5e+5NcAAKA4YagwAOCiPf/881qzZo0mTZqktWvXKjIyUr/99psWL16ssmXLau7cufLy+t9vo+3bt9fUqVM1cOBAde/eXf7+/qpRo4Z69eqlXr166fnnn9djjz2mr776SjVq1NDGjRuVkJCgO++8Ux9++OFlfS8jR47UrFmzNG3aND322GMKDAzU4MGDNXfuXD344INauXKlqlSpom+++UbHjx/XDTfcoI0bN17Sa3bt2lUBAQFq3ry5atSooezsbK1cuVJbtmzRXXfd5SzmAQDAWXRcAQAXrUqVKvrhhx/0+OOPa9euXZo6dapWrlyprl276ocffsi3Luqtt96qKVOmSJJefPFFPf300841VK+66iqtWbNGt9xyi7788kvNmjVLWVlZ+uKLL3T77bdf9vcSEhKiRx55RMePH9e0adMkSQ0aNNDy5cvVpEkT/ec//9E777yj8PBwrV27VoGBgZf8mnFxcbrxxhu1bt06zZgxQ++++67KlSun1157TfPnz7/k5wcAoLhxmL+PVQIAAAAAwEbouAIAAAAAbI3CFQAAAABgaxSuAAAAAABbo3AFAAAAANgahSsAAAAAwNYoXAEAAAAAtkbhCgAAAACwNQpXAAAAAICtUbgCAAAAAGyNwhUAAAAAYGsUrgAAAAAAW6NwBQAAAADYGoUrAAAAAMDW/g+vjobE18I4XQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "1ODJfw9xfdcw"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}