1_data_analysis.ipynb

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            "outputs": [
              {
                "output_type": "display_data",
                "data": {
                  "text/plain": "<Figure size 1152x720 with 1 Axes>",
                  "image/png": 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  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "AIM: To analyze the training dataset."
      ],
      "metadata": {
        "id": "q_3eIl3x2Dio"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# import libraries\n",
        "from google.colab import drive\n",
        "import pandas as pd\n",
        "import os\n",
        "\n",
        "import spacy\n",
        "from nltk.corpus import stopwords\n",
        "import nltk\n",
        "nltk.download('stopwords')\n",
        "\n",
        "from matplotlib import pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "import ipywidgets as widgets\n",
        "from wordcloud import WordCloud, STOPWORDS\n",
        "from collections import defaultdict, Counter"
      ],
      "metadata": {
        "id": "988uTMlPhthO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9f7d7df8-4093-415e-f77a-87e7f1902989"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/torch/cuda/__init__.py:497: UserWarning: Can't initialize NVML\n",
            "  warnings.warn(\"Can't initialize NVML\")\n",
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hV-0L7Eu2XAL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "81695fdf-ee14-4433-ed43-791d1477585d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n",
            "['data_file.csv', 'test_.csv', 'train_.csv', 'valid_.csv']\n"
          ]
        }
      ],
      "source": [
        "# mount google drive and connect working directory\n",
        "drive.mount('/content/gdrive', force_remount = True)\n",
        "print (sorted(os.listdir('gdrive/My Drive/Colab Helper/ICData/Dataset')))\n",
        "os.chdir('gdrive/My Drive/Colab Helper/ICData/Dataset') # Connect to the directory"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# read train file and print it's shape\n",
        "traindf = pd.read_csv('train_.csv', usecols=['text','intent'])\n",
        "print('Train Shape: ', traindf.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GYpX___81oN4",
        "outputId": "cd7d3f1a-dac9-4f50-f527-900fff4fcdc3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Train Shape:  (9951, 2)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observations:**\n",
        "\n",
        "1.   All the classes have almost equal distribution.\n",
        "\n"
      ],
      "metadata": {
        "id": "Yls2uRmIFXt4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# plot distribution of class-labels\n",
        "plt.figure(figsize=(14,5))\n",
        "sns.countplot(traindf.intent)\n",
        "plt.title(\"Intent Distribution\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "93woomuTIYD3",
        "outputId": "dcadf7ef-4610-470a-e1b8-24fd817eda5d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Intent Distribution')"
            ]
          },
          "metadata": {},
          "execution_count": 4
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# exact count of distribution of class-labels\n",
        "print('Distribution of class-label (exact count):\\n', traindf.intent.value_counts())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GBFjjkRm8eIq",
        "outputId": "6177908f-c4d7-489d-9cf1-f27b974a5ecb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Distribution of class-label (exact count):\n",
            " GetWeather              1460\n",
            "BookRestaurant          1447\n",
            "PlayMusic               1445\n",
            "SearchCreativeWork      1436\n",
            "AddToPlaylist           1424\n",
            "RateBook                1394\n",
            "SearchScreeningEvent    1345\n",
            "Name: intent, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observations:**\n",
        "\n",
        "Top 5 words for each intent:\n",
        "\n",
        "1.   ***PlayMusic***: play, music, song, hear, want\n",
        "2.   ***RateBook***: rate, give, star, point, current\n",
        "3.   ***BookRestaurant***: book, restaurant, table, reservation, need\n",
        "4.   ***GetWeather***: forecast, weather, will, now, s\n",
        "5.   ***SearchCreativeWork***: find, show, called, tv, game\n",
        "6.   ***AddToPlaylist***: add, playlist, put, song, tune\n",
        "7.   ***SearchScreeningEvent***: movie, playing, schedule, theatre, time\n",
        "\n",
        "Observe that if we use stemmers; then 'play' from PlayMusic and 'playing' from SearchScreeningEvent will result in the same token 'play'. And the number of such tokens that overlap might be higher. Uh Oh!\n"
      ],
      "metadata": {
        "id": "RrpOVcHFDxee"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# create WordCloud\n",
        "@widgets.interact(intent=list(set(traindf.intent)))\n",
        "def display_word_cloud(intent=\"PlayMusic\"):\n",
        "  plt.figure(figsize=(16, 10))\n",
        "  subset = traindf[traindf.intent==intent]\n",
        "  text = subset.text.values\n",
        "  cloud = WordCloud(\n",
        "    stopwords=STOPWORDS, background_color=\"black\", collocations=False, max_words=5,\n",
        "    max_font_size=40, scale=3).generate(\" \".join(text))\n",
        "  plt.axis(\"off\")\n",
        "  plt.imshow(cloud)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 509,
          "referenced_widgets": [
            "192fbf35b28f40d3b02bade71c09a2ac",
            "d162800a6667431fa21139a07df2c86e",
            "36bc19f66ab54164959cf8fe891783a5",
            "583c1e1f67ec4c0ebd116af7b1c34359",
            "2b86a354d1ae4f68ba2eda76e9279b27",
            "bc8fb53ed89a4365944b9535c5514937",
            "3343588912064143a471f58b20f7e14d"
          ]
        },
        "id": "fJ2Vzl4XNEp-",
        "outputId": "251a4ca6-fc31-4f1b-a0eb-9b543b60de68"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "interactive(children=(Dropdown(description='intent', index=1, options=('SearchCreativeWork', 'PlayMusic', 'Boo…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "192fbf35b28f40d3b02bade71c09a2ac"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observation:**\n",
        "\n",
        "1.   Length of text ranges from 10 to 125 characters approximately.\n",
        "2.   More generally they range from 25 to 65 characters approximately.\n",
        "\n"
      ],
      "metadata": {
        "id": "H7wZHLY4YZOU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# plot length of text\n",
        "fig = plt.figure(figsize = (12,5))\n",
        "ax = fig.gca()\n",
        "traindf['text'].str.len().hist(ax=ax)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "paXvMd-KU9Ng",
        "outputId": "f58f7699-4d4e-45df-df77-55a0483015bb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5483494910>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observations:**\n",
        "\n",
        "1.   Range of words in texts ranges from 2 to 25.\n",
        "2.   Generally, 6 to 12 words occur in the sentence.\n",
        "\n"
      ],
      "metadata": {
        "id": "4m8CoGWkaNVX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# plot number of words per sentence\n",
        "fig = plt.figure(figsize = (12,5))\n",
        "traindf['text'].str.split().map(lambda x: len(x)).hist()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "kiNwDojUU9q1",
        "outputId": "f72121c8-e0b8-45b0-ad6e-e72643a74fea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f548339f1c0>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observations:**\n",
        "\n",
        "1.   'The' is present most among all the stopwords present.\n",
        "2.   119 stopwords present; this may result in reduced  average length of words.\n",
        "\n"
      ],
      "metadata": {
        "id": "BbB8q6-ZfrMe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# plot top 20 stopwords\n",
        "stop=set(stopwords.words('english'))\n",
        "\n",
        "# split into words\n",
        "corpus = []\n",
        "text = traindf['text'].str.split()\n",
        "text = text.values.tolist()\n",
        "corpus = [word for i in text for word in i]\n",
        "\n",
        "# dictionary with count of each stopword\n",
        "dic=defaultdict(int)\n",
        "for word in corpus:\n",
        "  if word in stop:\n",
        "    dic[word]+=1\n",
        "print('Total stopwords in texts: ', len(dic))\n",
        "\n",
        "# plot top stopwords\n",
        "top = sorted(dic.items(), key=lambda x:x[1], reverse=True)[:20] # sort the dic and get top 20 stopwords\n",
        "x, y = zip(*top) # unzip dictionary\n",
        "plt.figure(figsize=(12,5))\n",
        "plt.bar(x, y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "6iVhay3lU928",
        "outputId": "b9219ea9-1dee-48e5-b7b7-3f46c3b6ea5b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total stopwords in texts:  119\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<BarContainer object of 20 artists>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ],
            "image/png": 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DerdhfvQwAwDAgMAMAAADAjMAAAwIzAAAMCAwAwDAgLtkAAD7xB062N/pYQYAgAGBGQAABgzJAADuteY9HMRQEBKBGQBgzYzb3lwMyQAAgAE9zAAA9yJ6txdPYAYAYFU265hxQzIAAGBAYAYAgAGBGQAABgRmAAAYEJgBAGBAYAYAgAGBGQAABgRmAAAYEJgBAGBAYAYAgAGBGQAABgRmAAAYEJgBAGBAYAYAgAGBGQAABgRmAAAYEJgBAGBAYAYAgAGBGQAABgRmAAAYEJgBAGBg4YG5qk6oqhuqaldVnbbo+gEAYC0WGpir6oAk/zPJ05I8IsnPVtUjFtkGAABYi0X3MB+dZFdr7TOttX9Icl6SkxbcBgAAWLVFB+bDktw8NX9LLwMAgA2pWmuLq6zqmUlOaK29sM8/L8njW2u/NLXOKUlO6bM/lOSGhTVw3zw0yZfUvd/Xq+7NU+9mrXsz7vNmrXsz7vNmrXsz7vPe+IHW2palFhy44IbcmuSIqfnDe9m3tdbOSnLWIhs1C1V1eWttm7r373rV7bne3+vejPu8WevejPu8WevejPs8a4seknFZkqOq6mFV9T1JnpPkggW3AQAAVm2hPcyttbur6peSfDDJAUl2tNauW2QbAABgLRY9JCOttfcnef+i612A9RxGshnr3oz7vFnr3oz7vJ51b8Z93qx1b8Z93qx1b8Z9nqmFfugPAADubXw1NgAADAjMq1RVB1XVL/bpY6vqvevdpkWbPgbrVP/HFlzfi6vq+qp6yyLrXcl6tGvRx36ZNvzWgupZl32tqq+tcf1jq+rfzqs9zMZq3zuq6o2z+ubbjXrtWq21vhZW2NbWqrp2Vtvb6PWuRVX9fFX9iwXU8/6qOqhPf63/3vDHZ08C8+odlGTdwuIGsa7HoLW26HDwi0me2lp77korVtUiPw+w6nbNyjoc+6UsJDBvkH1djWOT3Fvaupmt6rrZWntha+1TM6rzu64RC75Gce/w80nmHphba09vrX1l3vXMm8C8emcm+ZdVdVWSVyd5YFW9vao+XVVvqapKkqp6XFX9ZVVdUVUfrKpD59WgqnpXr+e6/oUv8/btY1BVr+4/11bVNVX17HlXPvWX6bFVdfFSx3+Gdf1hkh9M8oGq+tV+rK+uqkuq6l/3dc6oqjdX1UeTvHmW9U+14z/3Y3xtVb10j3b9yjzqXKYdM+vxWWV933FuV9WZSe7fz7259ppNnWeHVtWHe53XVtW/28ft/npVvbhPv7aqLurTT969T1X1yqr6ZD/PDullP1lVn6iqK6vqf1fVIVW1NcmLkvxKb9+a29Z7eD5dVedU1d/019GPV9VHq+rGqjq6/97S179PVe3aPb8Px2E19T6gqnZU1aV9v0/alzqXaMOer6utvUf2j/o59xdVdf8ZVbfa946Lq2pbVR3Qj83ua+uaXud7XCPumr5G9f28qF/LLqyqI/tjzqmqN/Tz7jP9GrujH5Nz9man93wN97KvLXOOP6yqPt7393f2pr4VHNiP9fX92D+9qt411danVtU7F1DvP6s5Z4Rlzu1rp5b/Wk3eu56ZZFuSt/RryF6f7ytd26rqpqp66L7u27prrflZxU+SrUmu7dPHJrkrky9euU+Sjyd5UpL7JvlYki19vWdncuu8ebXpwf33/ZNcm+QhCzwGP51kZya3Bzwkyf9Ncuic6//a6PjPob6bMvmGotcnOb2XPTnJVX36jCRXJLn/nPb3cUmuSfKAJA9Mcl2Sx+xu1zyP9XLHfoH1fde5vag2TJ1nv5rkv/TpA5J83z5u9wlJ3tanP5Lk0n7NOD3Jf0zSkvxkX/67SX67Tx+cf/qA9guT/Pep8+/X9qE9W5PcneRH+uvoiiQ7klSSk5K8q7ftpX3945K8YwbHdzX1/rckP9fXPyjJ3yR5wIye3+VeV3cneXRf5/zd9c9of4fvHX3ZxZkEmMcl2Tn1+IP2os6bMrl2fcc1Ksl7kmzv07+Q5F19+pwk5009B3+3x/Pz6L1ow1Kv4eXO8QuSPL9Pn5oZvtb78W9JntjndyT59SSfzj+9V//J7nYtoN65ZYTBuX3t1Dq/luSM6XNuBvWudG27Kf09K/90fd063a57w48e5r13aWvtltbat5JclcmT/0NJ/lWSnb034bczuTDOy4ur6pNJLsnkGxSPmmNde3pSkre21u5prX0xyV8m+TcLrH+p4z8vT0rvQW6tXZTkIVX1z/uyC1pr/2+O9b6ztfb3rbWvJfmzJPvUy3kvsp7n9m6XJXlBVZ2R5Edaa1/dx+1dkeRx/dz5ZiZhaVsmz+lHkvxDkvdOrbu1Tx+e5INVdU0mb7iP3Md2TPtsa+2a/jq6LsmFbfJudk2vf0eS5/d1fyHJ/1pQvcclOa1fRy9O8r1JjpxR3cu9rj7bWruqrzN9/GdtpWvXZ5L8YFW9vqpOyCS87ovpa9QxmYTDZHJNe9LUeu+Zeg6+uMfzs2cbV2Op1/By5/gTk7x1ql2zdnNr7aN9+o97fW9O8nM1GVt7TJIPLKDe4zPfjLBe7xkrXdv2C8Y07b1vTk3fk8mxrCTXtdaOmXflVXVskh9Pckxr7etVdXEmbyqbxVLHfz38/TrVu9/aKOd2a+3DVfWjSU5Mck5Vvaa19qZ92N4/VtVnMxk3+LEkVyf5sSQPT3J9kn/sgSX5znP69Ule01q7oB+bM/a2DUuYfh19a2r+W0kObK3dXFVfrKonJzk6yazGzQ/rzWT/f7q1dsOM6ltrm+7JpGd0EfV8x7WrtXZnVT0qk3D1oiTPyuSPlb212mvU9HOw5/Ozpuvr4DW83DmeTHpj52XPbbdM/vh7T5JvZNI7evcC6v1qFpQRphyU7xx+O/Nr6SqubfsFPcyr99Uk37fCOjck2VJVxyRJVd23qmbZGzTtQUnu7BejH87kXyLzNn0MPpLk2X283ZYkP5rJv2H2Rx9JDwr9jeBLrbV97fVZbb3P6OPeHpDkp7If/bU+sNy5/Y9Vdd9FNaKqfiCTnrY/SvLGJI+dwWY/ksm/RD/cp1+U5MqpELGUByW5tU9vnypfzTVpFt6YSe/Y21pr9yygvmTybbC/PDW+9zEz3PaiX1drep76WM/7tNbekUkP5CzOu90+luQ5ffq5md9+r/X96aN7tGvWjtz9vpzkPyT5q9ba3yb520yO8az+c7JSvZdkvhlhqXP7A0m+v6oeUlX3S/ITU+vP8hqyN9e2exWBeZVaa19O8tE+eP7Vy6zzD0memeRV/V9RV2V+n2L/80w+UHB9Jh8quWRO9XzbHsfgmEz+ivxkkouS/EZr7QvzbsM6OSOTfzddncmx3j5efTZaa3+dydjCS5N8IskbW2tXLqLudbbcuX1WkqtrcbfKOjbJJ6vqykzGGv7eDLb5kSSHJvl4H8r0jawcWs5I8raquiLJl6bK35Pkp2ovP/S3BhdkMh5yXqFiKa/IZAzk1VV1XZ+fiaVeV0nunNX2l6hvxfeOPRyW5OL+L/s/TvKyGTbnlzMZZnR1kucleckMtz1tre9PL0lyah92dNgc2nND3/71mXwm4A29/C2ZDJuYVy/onvW+PnPMCMu8Z1yW5OW9bGcmY7d3OyfJH+7rh/66vbm23av4pj8AllVV25K8trW2WcbPs0lU1e9n0gt69nq3hY3PGGYAllRVpyX5T5nPv8lh3fT/2Px9JnfDgRXpYQYAgAFjmAEAYEBgBgCAAYEZAAAGBGYAABgQmAEAYEBgBgCAgf8PxsTs3Oe0SRkAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observations:**\n",
        "\n",
        "1.   'Play', 'book', and 'add' have appeared the most in texts.\n",
        "2.   Approximately more than 50 words have high occurance causing skew in plot. These words could be the identifiers of class labels."
      ],
      "metadata": {
        "id": "FFT19MMujAYV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# plot top words that are not stopwords\n",
        "counter = Counter(corpus)\n",
        "most_common = counter.most_common()\n",
        "\n",
        "# get the most common words that are not stopwords\n",
        "x, y = [], []\n",
        "for word, count in most_common[:100]:\n",
        "  if (word not in stop):\n",
        "    x.append(word)\n",
        "    y.append(count)\n",
        "print('Total words to be plotted: ', len(x))\n",
        "\n",
        "# plot\n",
        "plt.figure(figsize=(12,10))\n",
        "sns.barplot(x=y, y=x)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 629
        },
        "id": "oJ0bEi8EU97K",
        "outputId": "c50f786a-f729-4dcf-bd6e-977dd2154fd5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total words to be plotted:  64\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5482b6cd60>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**NER Tagging**\n",
        "\n",
        "**Observations:**\n",
        "\n",
        "1.   Cardinal, i.e., numbers, are present the most.\n",
        "2.   Data, Person, and GPE ner tags are also present in large quantities. "
      ],
      "metadata": {
        "id": "lMxh4yg7oszr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# load pre-trained model for English in spacy\n",
        "nlp = spacy.load(\"en_core_web_sm\")\n",
        "\n",
        "# function to get ner tag\n",
        "def ner(text):\n",
        "  doc = nlp(text)\n",
        "  return [X.label_ for X in doc.ents]"
      ],
      "metadata": {
        "id": "wRRqJ7fmDb_d"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# ner tag for entire document\n",
        "per_document_ner_tag_list = traindf['text'].apply(lambda x : ner(x))\n",
        "tag_list = [tag for ner_tag_list in per_document_ner_tag_list for tag in ner_tag_list]\n",
        "counter = Counter(tag_list)\n",
        "count_most_common = counter.most_common()\n",
        "\n",
        "# plot ner tags\n",
        "x, y = map(list, zip(*count_most_common))\n",
        "fig = plt.figure(figsize = (12,6))\n",
        "sns.barplot(x=y, y=x)"
      ],
      "metadata": {
        "id": "RjgJQhQuLANY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 392
        },
        "outputId": "1b2e53c3-9d36-4528-93be-6497fa5acac6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f54823ce520>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ],
            "image/png": 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rXnbmoEOQJEnSBnBFXZIkSWohE3VJkiSphUzUJUmSpBYyUZckSZJaqHWJepJKcmbX/tuTvKdrf1GS7zWv7yY5uKtvSZJbkixPcm2SeV19dyZZkeSGJF9L8pQpuyhJkiRpjFqXqAO/Al6eZIfejiRHAW8EDq6qZwEnAp/rSbpPqKp9gb8DPtwzxQur6rnAEHDqpEQvSZIkTYA2Juq/BhYDJ4/Qdwrwjqr6GUBVXQecC5w0wthrgJ37nOObwJ4bHqokSZI0OdqYqAN8EjghyTY97XsDS3vahpr2XocDl/aZ/yhgRW9jU1YzlGRozaqHxxiyJEmSNHFa+QePqmpVks8CfwasHuPh5yXZCpgFzOvpuyrJWuAG4LQRzruYzmo+2+z5lBpz4JIkSdIEaeuKOsBHgdcDT+pquwk4oGfcAcDKrv0TgN3plMR8vGfsC6tqXlW9uqp+PsHxSpIkSROmtYl6Vd0PXEgnWR/2IeCDSbYHaJ7q8lo6HxztPraAvwIOTPKsKQlYkiRJmkCtLH3pcibwluGdqvpykp2Bbycp4BfAq6rqx70HVtXq5jGP7+C3k31JkiSp9VqXqFfVrK7te4CZPf1nAWf1OXZBz/6ZXdtzJjJOSZIkaTK1tvRFkiRJ2pSZqEuSJEkt1LrSl7aYu+0uXPGyM9c/UJIkSZoErqhLkiRJLWSiLkmSJLWQibokSZLUQtao93Hrz3/KkRf3/mHTdbv85W+dpGgkSZK0qXFFXZIkSWohE3VJkiSphUzUJUmSpBYyUZckSZJaaMIT9SS7JPlSkluT3J7kfyfZKsmCJA8mWZbke0nO6DrmtUnuTXJ9c9yVSQ7q6j8nybHN9pIkQ11985Ms6Ynho0nuTrJZzzk+MdHXK0mSJE2GCU3UkwS4GLi0quYCewGzgNObIVdX1TxgP+CoJM/rOvzzVbVfc9wHgIuTPLvPqZ6c5Ig+MWwGHAP8CDhkgy9KkiRJGoCJXlF/EfBIVX0GoKrWAicDrwNmDg+qqtXAMmDnkSapqquAxcCiPuf5MPDuPn0LgJXAWcDCMV+BJEmS1AITnajvDSztbqiqVcB/AHsOtyWZDcwFvrmOua4DntWn7xpgTZIXjtC3EDgfuAQ4MsmWo45ekiRJaomp/jDp85MsB+4Grqyqn6xjbNYz1/uA037rgGQr4CV0Sm9WAd8BDhttcEkWJRlKMrTmwYdGe5gkSZI04SY6Ub8JOKC7IcnWwDOA2+jUqO9LZ+X99UnmrWOu/YCb+3VW1TeAGcCBXc2HAdsCK5LcCRzMGMpfqmpxVc2vqvlbbTNrtIdJkiRJE26iE/V/BWYmeTVAks2BM4FzgIeHB1XVHXQ+MHrKSJMkOYROffo/rOd87wPe2bW/EHhDVc2pqjnAbsChSWaOdLAkSZLUVhOaqFdV0XniyiuT3Ap8H3gEOHWE4WcDL0gyp9k/rnl04/eb8a+oqr4r6s35rgDuBWiS8cOBy7v6fwl8C3hp0/TaJHd1vXYZ35VKkiRJkyud3Fq9ttnzGXXwh94xpmMuf/lbJykaSZIkbaySLK2q+b3t/mVSSZIkqYVM1CVJkqQWMlGXJEmSWmiLQQfQVnO3fbI155IkSRoYV9QlSZKkFjJRlyRJklrIRF2SJElqIWvU+7jtgfs56qLzRjX2smNPmORoJEmStKlxRV2SJElqIRN1SZIkqYVM1CVJkqQWmnaJepKHRmjbJslnk9yW5PZme5uu/r2SXJHk1iTXJbkwyU5TG7kkSZI0etMuUe/jU8APqmrPqtoDuAP4R4AkTwQuB86qqrlVtT/wd8COA4tWkiRJWo9p/9SXJHsCBwDHdTW/F7gtyR7AIcA1VfWV4c6qWjKlQUqSJEljtDGsqD8HWFZVa4cbmu1lwN7APsDSAcUmSZIkjcvGkKhPmCSLkgwlGVqzatWgw5EkSdImbGNI1G8C5iX5zbU02/OavpV0SmPWq6oWV9X8qpq/1dZbT0qwkiRJ0mhM+0S9qm4DrgdO62o+Dbiu6fsccFCSI4c7k7wgyT5TG6kkSZI0etMxUZ+Z5K6u1/8AXg/s1Tya8XZgr6aNqloNHAW8tXk8403Am4F7B3UBkiRJ0vpMu6e+VFW/Xy5etY5jvgccPjkRSZIkSRNvOq6oS5IkSRs9E3VJkiSphUzUJUmSpBaadjXqU2XP2dtx2bEnDDoMSZIkbaJcUZckSZJayERdkiRJaiETdUmSJKmFrFHv47YHHuToi/65b/+Xjj1iCqORJEnSpsYVdUmSJKmFTNQlSZKkFjJRlyRJklrIRF2SJElqoWmbqCdZm2RZ12tO0/4XSR5Jsk3P+COSDCW5Kcn1Sc4cRNySJEnSaEznp76srqp5I7QvBK4FXg58BiDJPsAngCOr6ntJNgcWTVmkkiRJ0hhN2xX1kSTZA5gFnEYnYR/2TuD0qvoeQFWtraqzBhCiJEmSNCrTOVGf0VX2cknTdjxwAXA18MwkOzXt+wBL1zdhkkVNeczQmlWrJidqSZIkaRSmc6K+uqrmNa9jmraFwAVV9RjwReCVY5mwqhZX1fyqmr/V1ltPdLySJEnSqE3nGvXfkuR3gbnA15MAbAXcQac2fSVwALB8YAFKkiRJYzCdV9R7LQTeU1VzmtfTgKcl2RX4MHBqkr0AkmyW5MRBBitJkiSty8aUqB8PXNLTdglwfFXdAPwFcH6Sm4Ebgd2nOD5JkiRp1KZt6UtVzerZf1ziXVX/o2v7MuCyKQhNkiRJ2mAb04q6JEmStNEwUZckSZJaaNqWvky2PWdvw5eOPWLQYUiSJGkT5Yq6JEmS1EIm6pIkSVILmahLkiRJLWSiLkmSJLWQHybt4/YHHubYL173W20XvWL/AUUjSZKkTY0r6pIkSVILmahLkiRJLWSiLkmSJLXQBifqSdYmWZbkxiRfSDJzhPavJNm265i9k3wjyS1Jbk3yV0nS9L02yb1Jrm/6rkxyUNexS5LM79qfk+TGrv3fT/LNZu7rk/xjkpOaWJYlWZNkRbP9gQ29fkmSJGkyTMSK+uqqmldV+wBrgBNHaL8fOAkgyQzgy8AHquqZwL7AQcCbu+b8fFXtV1VzgQ8AFyd59voCSbIT8AXglKp6ZlXtB3wVuKiJZR7wn8ALm/13TcD1S5IkSRNuoktfrgb2HKH9GmDnZvu/Af9WVV8DqKqHgbcAIybNVXUVsBhYNIrznwScW1XXdB1/UVXdM+orkCRJklpgwhL1JFsARwAreto3B/6Qzio6wN7A0u4xVXU7MCvJ1n2mvw541ijC2Kd3bkmSJGk6mohEfUaSZcAQ8B/Ap3rafwLsBHx9A86Rru0aoX+ktrGfJFmUZCjJ0K9WPTARU0qSJEnjMpE16vOq6q1Vtaa7HdiVTqJ9UtN+E3BA9wRJdgceqqpVfc6xH3Bzs30fMLurbzvgZ832yt65x6KqFlfV/Kqa/4StZ6//AEmSJGmSTPrjGZsa9D8D3taUx5wHHJzkxfCbD5d+DPjQSMcnOYROffo/NE1LgFcNPyUGeA1wVbP9CeA1Sf6g6/iXNx8ylSRJkqaNKXmOelVdD9wALKyq1cDRwGlJbqFT034tnSR72HHN4xO/D5wKvKKqhlfUFwO/AJYnWQ7MAs5oznMPcDxwRvN4xpuBw5rxkiRJ0rSxxYZOUFWzRtNeVS/t2l4BLOhz3DnAOes43xo6T4np138N8Px19M/p1ydJkiS1hX+ZVJIkSWohE3VJkiSphUzUJUmSpBba4Br1jdUes2dy0Sv2H3QYkiRJ2kS5oi5JkiS1kIm6JEmS1EIm6pIkSVILWaPex09+/igfvOTHv9k/5ZinDjAaSZIkbWpcUZckSZJayERdkiRJaiETdUmSJKmFTNQlSZKkFpryRD1JJfk/XftbJLk3yWVdbS9LckOSm5OsSPKyrr5zktyd5AnN/g5J7my25yRZnWRZ1+vVSc5L8qauOf6gmX/LKbloSZIkaYwG8dSXXwL7JJlRVauBQ4G7hzuT7AucARxaVXck2Q34epIfVNUNzbC1wOuAs0aY//aqmtfdkORK4JokFwH3AZ8A3lxVj070xUmSJEkTYVClL1cARzbbC4Hzu/reDvxNVd0B0Hx9P/COrjEfBU5OMqpfNKrqHjrJ/4eAE4EbqupbG3QFkiRJ0iQaVKJ+AXB8kicCzwW+09W3N7C0Z/xQ0z7sP4BvAX8ywtx79JS+PL9pPxt4Dp2E/50jBZVkUZKhJEO/XHXfmC9KkiRJmigD+YNHVXVDkjl0VtOvGOc07we+BFze0/640pfmnI8l+XtgflWNmIVX1WJgMcAue+5b44xLkiRJ2mCDfOrLl+mUo5zf034TcEBP2wHAyu6GqroVWAb88RjO+VjzkiRJklptICvqjU8DP6+qFUkWdLWfAXwhyTeq6s5m5f1U4NgR5jidx6+oS5IkSdPewBL1qroL+NgI7cuSnAJ8pXl84qPAO6tq2QhjVya5Dti/q3mPJN1jP11VjzuPJEmS1GZTnqhX1awR2pYAS7r2LwYu7nP8a3v2X961fScwYx3nPgc4ZyzxSpIkSYPgXyaVJEmSWshEXZIkSWqhQX6YtNWesu2WnHLMUwcdhiRJkjZRrqhLkiRJLWSiLkmSJLWQibokSZLUQibqfTz4wK/558//bNBhSJIkaRNloi5JkiS1kIm6JEmS1EIm6pIkSVILmahLkiRJLTTuP3iUZBfgk8BzgM2BK4C3AQuB+VX1lq6xS4C3V9VQsz8PuB44oqq+2jWugI9U1dua/bcDs4BHgVc2w34XWNFsfxrYDngI2A14HrBVs31LM+a8Jp7jmjm3bs59aFX9YLzXL0mSJE2mca2oJwlwMXBpVc0F5gIzgA+NcoqFwLear91+Bbw8yQ7djVV1elXNq6p5wOrh7ar6WNeYk5r+lwC3d40/A3h6khc3Q98LfNokXZIkSW023tKXFwGPVNVnAKpqLXAy8Go6K+B9NUn+K4HXAocmeWJX96+Bxc1cE6KqCjgR+GiS+cAfAh+eqPklSZKkyTDeRH1vYGl3Q1WtAu5k/eU0BwF3VNXtwBLgyJ7+TwInJNlmnLE9TlXdAFwJ/Cvw1qpaM9K4JIuSDCUZWrXqvok6vSRJkjRmk/Fh0n4JdjVfFwIXNNsX0FP+0iT8nwX+bILj+iRwd1Ut6TegqhZX1fyqmr/11ttP8OklSZKk0Rtvon4TcEB3Q/MhzacA1wGze8ZvB/wsyebAK4D/L8mdwMeBw5P8Ts/4jwKvB540zvhG8ljzkiRJklpvvIn6vwIzk7waoEnAzwQ+AXwXeF6SpzR984EnAD+iUx9+Q1U9varmVNWuwBeBY7onr6r7gQvpJOuSJEnSJmdciXrzAc1jgGOT3ArcBzzWPJ3lHuDPgSuSLKOzOr6wqh6jU+ZySc90X+TxT3+BTuK/wwjtkiRJ0kYvnZx7AydJDgLOB46pqus2eMIWmLvHvPrY3/wLRxzn7wqSJEmaPEmWVtX83vZx/8GjblX1bWDXiZhLkiRJ0uQ89UWSJEnSBjJRlyRJklrIRL2PbWZvYX26JEmSBsZEXZIkSWohE3VJkiSphUzUJUmSpBYyUe9j9b2PDjoESZIkbcJM1CVJkqQWMlGXJEmSWshEXZIkSWqh9SbqSR5aR99Hk9ydZLOuttcmeSzJc7vabkwyp9meleSsJLcnuS7J0iT/velbkOSynnOck+TYrv0dkjya5MSecTsl+VySHzRzXpPkmK55H0yyrOv14vVduyRJkjQo415Rb5LzY4AfAYf0dN8FvLvPof8IPADMrar9gcOB7cZw6lcC/w4s7IolwKXAN6tq96o6ADge2KXruKural7X61/GcE5JkiRpSm1I6csCYCVwFl1Jc+MyYO8kz+xuTLIH8PvAaVX1GEBV3VtVHxzDeRcCbwN2TjKciL8IWFNVZw8PqqofVtXHxzCvJEmS1BobkqgvBM4HLgGOTLJlV99jwIeAU3uO2RtYPpykj1WSpwNPrarvAhcCx3XNe916Dn9+T+nLHuOJQZIkSZoK40rUk2wFvAS4tKpWAd8BDusZ9jngwCS7rWOedzdJ8382TdVn6HD7cXQSdIALePxK/vC8n0yyPMm1Xc29pS+3j3DcoiRDSYYeeOj+fmFLkjx9GqMAAArCSURBVCRJk26LcR53GLAtsKJTHs5MYDWdkhcAqurXSc4ETuk67iZg3ySbVdVjVXU6cHrXB1bvA2b3nGs74GfN9kLgKUlOaPaflmQunRKcV3Sd+6QkOwBDY7moqloMLAbYe9d9+/3SIEmSJE268Za+LATeUFVzqmoOsBtwaJKZPePOAV4M7AhQVbfRSZ7fl2RzgCRPBNKMv5VO8v3spm9XYF9gWZK9gFlVtXPXed/fxPIN4IlJ3tR17t5YJEmSpGljNIn6zCR3db1OpfOklsuHB1TVL4FvAS/tPrCq1gAfA57c1fwGYHvgtiRDwNeBdzbjfwW8CvhMkmXARXR+IXiQTkJ+SU9sXwQWVlUBLwMOSXJHku8C5/Lbq/m9NerHIkmSJLVUOjmueu2967618ofLBx2GJEmSNnJJllbV/N52/zKpJEmS1EIm6pIkSVILmahLkiRJLWSi3seMHbdc/yBJkiRpkpioS5IkSS1koi5JkiS1kIm6JEmS1EIm6n08es8jgw5BkiRJmzATdUmSJKmFTNQlSZKkFjJRlyRJklrIRF2SJElqoWmTqCd5aB19H01yd5LNmv0/T/LRrv6/T/IvXftvTfKxyY1YkiRJGr9pk6j30yTnxwA/Ag5pmv8NOKhr2L7ANkk2b/YPAr49ZUFKkiRJYzTtE3VgAbASOAtY2LQtA/ZKMiPJNsDqpu13m/6D6CTzkiRJUittMegAJsBC4HzgS8DfJNmyqh5Ncj3we8AM4DvArcBBSe4FUlU/6p0oySJgEcDOs582VfFLkiRJjzOtV9STbAW8BLi0qlbRScgPa7q/TWfl/CDgmuY1vD9i2UtVLa6q+VU1f/snzZ7s8CVJkqS+pvuK+mHAtsCKJAAz6ZS5XEantOVE4InAJ4F7gec0X61PlyRJUqtN6xV1OmUvb6iqOVU1B9gNODTJTDor6AcCO1bVT6uq6CTpR2N9uiRJklpuOiXqM5Pc1fU6FTgcuHx4QFX9EvgW8NKqeoBOYr6ya45rgCcDy6cwbkmSJGnM0lloVq99n75PLf/RjYMOQ5IkSRu5JEuran5v+3RaUZckSZI2GSbqkiRJUguZqPex5U5PHHQIkiRJ2oSZqEuSJEktZKIuSZIktZCJuiRJktRCJuqSJElSC5moS5IkSS1koi5JkiS1kIm6JEmS1EIm6pIkSVILTWiinmRtkmVJbkzyhSQze9qHX+9q2pckuSXJ8iTXJpnXNdcRSYaS3JTk+iRnNu3vSXJ3z3zbJlmQpJK8tGuOy5r2S5pxtyV5sOu4gyby+iVJkqSJssUEz7e6quYBJDkPOBH4SHf7CE6oqqEkfwp8GDg0yT7AJ4Ajq+p7STYHFnUd87dVdUb3JEkA7gLeDXylu6+qjmnGLADeXlVHbdhlSpIkSZNrMktfrgb2HMP4a4Cdm+13AqdX1fcAqmptVZ01ijmWAw8mOXRMkUqSJEktMymJepItgCOAFU3TjJ5SleNGOOxw4NJmex9g6TpOcXLXXFf19J0OnLYh8UuSJEmDNtGlLzOSLGu2rwY+1Wyvq/TlvCRbAbOAfmN6Pa70ZVhVfTMJSQ4eddSNJItoSmye8YxnjPVwSZIkacJM9Ir66qqa17zeWlVrRnHMCcDuwLnAx5u2lcABGxDHuFbVq2pxVc2vqvk77rjjBpxekiRJ2jCteDxjVRXwV8CBSZ5F50OlpybZCyDJZklOHMN8XwNmA8+djHglSZKkyTZViXpvjfoHegdU1WrgTOAdVXUD8BfA+UluBm6ks+o+7OSe+eaMcM7TgadP+JVIkiRJUyCdxWz1mj9/fg0NDQ06DEmSJG3kkiytqvm97a0ofZEkSZL020zUJUmSpBYyUZckSZJayERdkiRJaiETdUmSJKmFfOpLH0l+Adwy6DjEDsDPBh2EvA8t4X1oB+9DO3gf2sH7MDF2rarH/bXNLQYRyTRxy0iPydHUSjLkfRg870M7eB/awfvQDt6HdvA+TC5LXyRJkqQWMlGXJEmSWshEvb/Fgw5AgPehLbwP7eB9aAfvQzt4H9rB+zCJ/DCpJEmS1EKuqEuSJEktZKI+giSHJ7klyW1J3jXoeDZ2Se5MsiLJsiRDTdt2Sb6e5Nbm6+ymPUk+1tybG5LsP9jop68kn07y0yQ3drWN+fue5DXN+FuTvGYQ1zJd9bkH70lyd/N+WJbkJV19f9ncg1uSHNbV7s+sDZDk6UmuSnJTkpVJ/rxp9/0whdZxH3xPTKEkT0zy3STLm/vwP5v23ZJ8p/mefj7JVk37E5r925r+OV1zjXh/NAZV5avrBWwO3A7sDmwFLAeeM+i4NuYXcCewQ0/bh4B3NdvvAj7YbL8E+GcgwIHAdwYd/3R9AS8A9gduHO/3HdgO+EHzdXazPXvQ1zZdXn3uwXuAt48w9jnNz6MnALs1P6c292fWhNyHpwL7N9u/A3y/+X77fmjHffA9MbX3IcCsZntL4DvNf+cXAsc37WcDb2q23wyc3WwfD3x+Xfdn0Nc33V6uqD/e7wO3VdUPqmoNcAFw9IBj2hQdDZzbbJ8LvKyr/bPV8e/AtkmeOogAp7uq+iZwf0/zWL/vhwFfr6r7q+oB4OvA4ZMf/cahzz3o52jggqr6VVXdAdxG5+eVP7M2UFX9uKqua7Z/AdwM7Izvhym1jvvQj++JSdD8d/1Qs7tl8yrgRcBFTXvv+2H4fXIR8IdJQv/7ozEwUX+8nYEfde3fxbp/UGjDFfC1JEuTLGradqqqHzfbPwF2ara9P5NrrN9378fkeEtTUvHp4XILvAdTovln+/3orCL6fhiQnvsAviemVJLNkywDfkrnF87bgZ9X1a+bId3f0998v5v+B4Ht8T5MCBN1tcHBVbU/cARwUpIXdHdW59/QfDzRFPP7PjBnAXsA84AfA2cONpxNR5JZwBeBv6iqVd19vh+mzgj3wffEFKuqtVU1D9iFzir4swYc0ibLRP3x7gae3rW/S9OmSVJVdzdffwpcQueHwj3DJS3N1582w70/k2us33fvxwSrqnua/0k+BvwD//VPxd6DSZRkSzrJ4XlVdXHT7Pthio10H3xPDE5V/Ry4Cvh/6JR4bdF0dX9Pf/P9bvq3Ae7D+zAhTNQf71pgbvPp5q3ofDDiywOOaaOV5ElJfmd4G/gj4EY63/PhJya8BvhSs/1l4NXNUxcOBB7s+qdpbbixft+vBP4oyezmn6P/qGnTOPV85uIYOu8H6NyD45snLOwGzAW+iz+zNlhTT/sp4Oaq+khXl++HKdTvPviemFpJdkyybbM9AziUzucFrgKObYb1vh+G3yfHAt9o/gWq3/3RGGyx/iGblqr6dZK30Pnhujnw6apaOeCwNmY7AZd0fj6zBfC5qvpqkmuBC5O8Hvgh8MfN+CvoPHHhNuBh4E+nPuSNQ5LzgQXADknuAv4a+ABj+L5X1f1J/hed/zECvLeqRvvhyE1en3uwIMk8OmUWdwJvBKiqlUkuBG4Cfg2cVFVrm3n8mbVhngf8CbCiqcsFOBXfD1Ot331Y6HtiSj0VODfJ5nQWdC+sqsuS3ARckOR9wPV0fqmi+fpPSW6j8+H442Hd90ej518mlSRJklrI0hdJkiSphUzUJUmSpBYyUZckSZJayERdkiRJaiETdUmSJKmFTNQlSZKkFjJRlyRJklrIRF2SJElqof8fdz+Mi6fa9KUAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Observations:**\n",
        "\n",
        "NER tags dominating per intent:\n",
        "\n",
        "1.   **PlayMusic**: person, date\n",
        "2.   **RateBook**: cardinal\n",
        "3.   **BookRestaurant**: cardinal, gpe\n",
        "4.   **GetWeather**: gpe, date, time\n",
        "5.   **SearchCreativeWork**: cardinal, date, person, org, gpe\n",
        "6.   **AddToPlaylist**: person\n",
        "7.   **SearchScreeningEvent**: time, cardinal, org"
      ],
      "metadata": {
        "id": "whlZiUm-FFuN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# ner tag per intent\n",
        "intent_list = ['PlayMusic', 'RateBook', 'BookRestaurant', 'GetWeather', 'SearchCreativeWork', 'AddToPlaylist', 'SearchScreeningEvent']\n",
        "\n",
        "plt.figure(figsize=(16, 16))\n",
        "for i, intent in enumerate(intent_list):\n",
        "  df = traindf['text'][traindf.intent==intent]\n",
        "  per_document_ner_tag_list = df.apply(lambda x : ner(x))\n",
        "  tag_list = [tag for ner_tag_list in per_document_ner_tag_list for tag in ner_tag_list]\n",
        "  counter = Counter(tag_list)\n",
        "  count_most_common = counter.most_common()\n",
        "  # plot ner tags\n",
        "  x, y = map(list, zip(*count_most_common))\n",
        "  plt.subplot(4, 2, i+1)\n",
        "  plt.title('{}'.format(intent))\n",
        "  sns.barplot(x=y, y=x)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 934
        },
        "id": "ZWjNitx64jGJ",
        "outputId": "479f100f-1938-4b21-d0ad-1c85b39b9e3f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x1152 with 7 Axes>"
            ],
            "image/png": 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+3tbNS3J6kmf2qx+SJE0Vjs2SpKlqKBLlJAG+AZxVVVsCWwGrA+9vm1xQVdOB7YG9kryg3W5b4BPA31XV1m2brwDTJrkLkiRNKY7NkqSpbFhu5vUi4MGq+gJAVT2S5G3ATcD5I42q6oEk84CN26LDgQ9U1VWdNmdPXtiSJE1Zjs2SpClrKM4oA9sAc7sFVXUv8Atgi5GyJGsDWwI/6mx38STFKEnSssSxWZI0ZQ1LorwwuySZD9wGnFtVv+ltkGTd9jqoa5O8Y7SdJDksyZwkc+6576GlHbMkSVOZY7MkaWgNS6J8JbBjtyDJGsAzgetproPajuZb6kOTTG+bXQHsAFBVd7XXQZ1Icw3Vk1TViVU1o6pmrLn6SkunJ5IkTQ2OzZKkKWtYEuUfAqslORggyfLAccBJwB9HGlXVTcDRNNc/AXwYeF+S53T2tdpkBCxJ0hTn2CxJmrKGIlGuqgL2BV6Z5DrgWuBB4L2jND8B2DXJtKq6DPhH4OQk1yT5b+A5wCmTFLokSVOSY7MkaSoblrteU1W3AnuPUjW7fYy0e4DH76xJVZ0DnLOUw5MkaZnj2CxJmqqG4oyyJEmSJEmTxURZkiRJkqSOoZl6PdnWXG9L9nrdd/sdhiRJajk2S5Imi2eUJUmSJEnqMFGWJEmSJKnDqddjuP3u6/jIKbv3O4yh8rZXn9vvECRJU1jv2Oy4I0laWjyjLEmSJElSh4myJEmSJEkdi50oJ3laktOS3JBkbpLvJNmqrXtrkgeTrNlpPzPJPUnmJbk6ybGdukOS3JHkkiTXJTk3yfM79Scl2b9dnp1kTqduRpLZPbF9NMltSZbrOcYnF7e/kiRNFUkeacfjy5N8LclqPeUjj3e35bOTXJNkfpKLkkzv7Ot1SS5Lcmm7v33a8iQ5oh3Xr01yfpJtOtvdnOSMzvr+SU6atCdBkqQFWKxEOUmAM4HZVbV5Ve0IvAfYsG0yC7gIeEXPphdU1XRge2CvJC/o1J1eVdtX1ZbA0cA3kjxnjBA2SLLnGLEtB+wL3ArsthjdkyRpqnugqqZX1bbAQ8AbespHHkd3tjmoqrYDPg0cA5BkE+B9wM5V9TxgJ+DStv2bgecD21XVVsAHgbOTrNLZ545Jnru0OilJ0uJa3DPKLwQerqoTRgqqan5VXZBkc2B14AiahPlJquoBYB6w8Rj15wMnAoeNcfxjaAbm0cwErgCOH+v4kiTpMRcAW4yj/YU8Pn5vAPwBuA+gqu6rqpvausOBf6iqP7Z13wN+AhzU2ddxjD2eS5LUN4ubKG8LzB2j7kDgNJqB99lJNuxtkGRtYEvgRws4xsXA1mPUXQg8lOSFo9TNAk6lOeP9siQrLuAYkiQts5KsAOwJXNYWrdoz9fqAUTbbAzirXZ4P3A7clOQLSfZu97sG8JSqurFn2znANp31rwI7JBlPoi5J0lK3NG7mNQs4raoeBc4AXtmp2yXJfOA24Nyq+s0C9pOFHOcomrPWj2+QrAS8FDirqu4FfgYs8m88JTksyZwkc+7/w0OLupkkScNm1STzaBLXXwCfa8t7p16f3tnmK0luojkD/CmAqnqEJnHeH7gW+EiSI8cRxyM0s8TeM1YDx2ZJUj8sbqJ8BbBjb2GSv6A5U/z9JDfTnF3uTn++oL2+aRvg0O7NQEaxPXDVWJVVdR6wKs31UCN2B9YCLmuPvzPjmH5dVSdW1YyqmvGUp660qJtJkjRsugnxW6pqUTLQg4DNgC8CnxgprMbPq+qDNOP+fu2X1fcn2axnHzvSfIbo+hKwK/CM0Q7q2CxJ6ofFTZTPA1ZO8tg1xEmeB3wcOLKqprWPjYCNkmza3bi9fulomuuXniTJbjTXJ39mIXEcBbyrsz4LeP3I8YFnAS8ZuZunJElafFVVwD8DOyXZOslGSXboNJkO3NIuHwN8PMmqAEleTPMF9ik9+3wY+AjwtqUdvyRJi2qxEuV2oNwXeHH781BX0NzNcibNtcFdZ9J8w9zrBGDXJNPa9QPa66GuBd5L8430mGeU2zi+A9wB0CbDewDndOrvB34M7N0WHZLkl53HJovYZUmSlgW91ygf3dugvSHnccA7gRWBY9uffZwHHAD8Y9v0EzS/gHFZkmtoEux92u17fQ5YYSn0R5KkxZIm51WvZ2y2Zv3TUTstvKEe87ZXn9vvECRpYCWZW1Uz+h3HMOsdmx13JElLYkFj89K4mZckSZIkSUPLRFmSJEmSpA6vBxrDhuts6ZQuSZIGiGOzJGmyeEZZkiRJkqQOE2VJkiRJkjpMlCVJkiRJ6vAa5TFc9/tb2PObb+jb8b+7zwl9O7YkSYOoOzY7TkqSlibPKEuSJEmS1GGiLEmSJElSx1Amykk2THJKkhuTzE1yYZJ9k8xMck+SeUmuSvIvbftu+cjjxf3uhyRJU4VjsyRpKhm6a5STBDgL+GJVvbot2xT4W+B3wAVVtVeSpwDzknyr3fSCqtqrL0FLkjSFOTZLkqaaYTyj/CLgoap67C4eVXVLVX2i26iq7gfmAltMcnySJC1rHJslSVPKMCbK2wAXL6xRknWBnYAr2qJdeqZ3bT7KNoclmZNkzkP3PjixUUuSNHU5NkuSppRhTJSfIMmnksxPclFbtEuSS4DvAUdX1chgfEFVTe88bujdV1WdWFUzqmrGSmusMlldkCRpSnFsliQNu6G7RpnmW+j9Rlaq6s1J1gPmtEVe7yRJ0uRybJYkTSnDeEb5PGCVJG/slK3Wr2AkSZJjsyRpahm6RLmqCng5sFuSm5L8HPgicPhCNu29Dmr/pR6sJEnLAMdmSdJUM4xTr6mqXwMHjlE9e5T2s4E1l2JIkiQt0xybJUlTydCdUZYkSZIkaWkayjPKk2HLtTblu/ucsPCGkiRpUjg2S5Imi2eUJUmSJEnqMFGWJEmSJKnDRFmSJEmSpA6vUR7Ddb+7g5ed8f+WeD/n7Pf3ExCNJEnqjs2Or5KkpckzypIkSZIkdZgoS5IkSZLUscSJcpJHksxLcnmSryVZbZTybyVZq7PNNknOS3JNkuuS/HOStHWHJLkjySVt3blJnt/ZdnaSGZ31aUku76z/ZZIftfu+JMlnk7y5jWVekoeSXNYuH72k/ZckaapLUkmO66y/I8mRnfXDklzdPn6eZOdO3ex2TJ6f5KIk0zt1N7dj8qVJvpfkaZPWKUmSFmAizig/UFXTq2pb4CHgDaOU3w28GSDJqsDZwNFV9WxgO+D5wJs6+zy9qravqi2Bo4FvJHnOwgJJsiHwNeDwqnp2VW0P/Cfw9TaW6cCvgBe26++egP5LkjTV/Ql4RZL1eiuS7AX8PbBzVW1N8znglJ6k96Cq2g74NHBMzy5eWFXPA+YA710q0UuSNE4TPfX6AmCLUcovBDZul18N/HdVfQ+gqv4I/AMwatJaVecDJwKHLcLx3wx8saou7Gz/9aq6fZF7IEmSev2ZZix+2yh1hwPvrKo7AarqYuCLtF+Q9+h+Huj1I0b/DCFJ0qSbsEQ5yQrAnsBlPeXLA39NcxYZYBtgbrdNVd0ArJ5kjTF2fzGw9SKEsW3vviVJ0oT4FHBQkjV7yp80rtOcHd5mlH3sAZw1xv73ouczhCRJ/TIRPw+1apJ57fIFwOd6yjcGrgK+vwTHSGe5RqkfrWz8B0kOoz1zvcp660zELiVJmhKq6t4kJwP/B3hgnJt/JclKwOrA9J6685M8AlwKHNG7oWOzJKkfJvIa5elV9ZaqeqhbDmxKk+iOTMG6Etixu4MkmwH3VdW9Yxxje5pkG+AuYO1O3TrAne3yFb37Ho+qOrGqZlTVjJXWWH1xdyNJ0lT1UeBQ4CmdsieN6+36FZ31g4DNaKZkf6Kn7ch9Qw6uqt/3HtCxWZLUD0v956Haa5D/D/D2dnr2V4Cdk7wYHru518eBD4+2fZLdaL5J/kxbNBt4zchdsoG/A85vlz8J/F2S/9nZ/hXtTb4kSdISqKq7ga/SJMsjPgx8KMm6AO1drQ+huXFXd9sC/hnYKcmiXE4lSVLfTMrvKFfVJTRTqmZV1QPAPsARSa6huR7pIpokd8QB7c83XUtzB8z9qmrkjPKJwB+A+Unm00zjOrY9zu3AgcCx7U9RXAXs3raXJElL7jjgsbtfV9XZwOeBnyS5muaL7ddU1a97N2w/AxwHvHOSYpUkabEs8TXKVTXqPKje8qrau7N8GTBzjO1OAk5awPEeorlL9lj1FwK7LKB+2lh1kiTpybpjevul9Go99ccDx4+x7cye9eM6y9MmMk5JkibKpJxRliRJkiRpWEzEXa+npC3XXp9z9vv7fochSZJajs2SpMniGWVJkiRJkjpMlCVJkiRJ6jBRliRJkiSpw2uUx3D9737P3379m4vU9uz991nK0UiSpJGx2XFXkrS0eUZZkiRJkqQOE2VJkiRJkjoGLlFOUkmO66y/I8mRnfXDklzdPn6eZOdO3ewk1ySZn+SiJNM7dTcnuSzJpUm+l+Rpk9YpSZL6KMkmSb6Z5LokNyT5WJKVksxMck+See24emxnm0OS3JHkkna7c5M8v1N/UpL92+XZSeZ06mYkmd0Tw0eT3JZkuZ5jfHKpdl6SpMUwcIky8CfgFUnW661Ishfw98DOVbU18AbglJ6k96Cq2g74NHBMzy5eWFXPA+YA710q0UuSNECSBPgGcFZVbQlsBawOvL9tckFVTQe2B/ZK8oLO5qdX1fbtdkcD30jynDEOtUGSPceIYTlgX+BWYLcl7pQkSUvZICbKfwZOBN42St3hwDur6k6AqroY+CLw5lHaXghsPMYxfgRsseShSpI08F4EPFhVXwCoqkdoxtjXAauNNKqqB4B5jDF2VtX5NOPzYWMc5xjgfWPUzQSuAI4HZo27B5IkTbJBTJQBPgUclGTNnvJtgLk9ZXPa8l57AGeNsf+9gMuWKEJJkobDk8bOqroX+AWdL42TrA1sSfNl8lguBrYeo+5C4KEkLxylbhZwKnAm8LIkKy5y9JIk9cFAJsrtAH4y8H8WY/OvJLmJ5lvtT/XUnZ9kHrAG8MHeDdvrn+ckmfPQvfcuxqElSRo6uySZD9wGnFtVv1lA2yxkX0cBRzxhg2Ql4KU0U7/vBX4G7L6owTk2S5L6YSAT5dZHgUOBp3TKrgR27Gm3I810rhEHAZvRTMn+RE/bF1bV9Ko6uKp+33vAqjqxqmZU1YyV1lhjiTsgSdIAeNLYmWQN4JnA9TTXKG9Hc+b50O6NMEexPXDVWJVVdR6wKrBTp3h3YC3gsiQ3AzszjunXjs2SpH4Y2ES5qu4GvkqTLI/4MPChJOsCtIP5ITQ37upuW8A/AzslGWuKmCRJy4IfAqslORggyfLAccBJwB9HGlXVTTQ37Dp8tJ0k2Y3m+uTPLOR4RwHv6qzPAl5fVdOqahrwLOAlSVYbbWNJkgbBwCbKreOAx+5+XVVnA58HfpLkaprB+jVV9eveDdubkhwHvHOSYpUkaeC0Xx7vC7wyyXXAtcCDjP7rDycAuyaZ1q4f0P501LVt+/2qaswzyu3xvgPcAdAmw3sA53Tq7wd+DOzdFh2S5JedxyaL11NJkibOCv0OoFdVrd5Zvp3OHTnbsuNp7po52rYze9aP6yxPm8g4JUkaFlV1K48npl2z28dIuwd4/K7XJ7WPsfZ5SGd5Zk9dd6r3OqNs+4rO6pjHkCSpXwb9jLIkSZIkSZPKRFmSJEmSpI6Bm3o9KLZYey3O3n+ffochSZJajs2SpMniGWVJkiRJkjpMlCVJkiRJ6nDq9Rhu/N0DvPKMy0et+9p+205yNJIk6cbfPdDvECRJywjPKEuSJEmS1GGiLEmSJElSx0AnyknWTTKvffwmyW2d9T+2baYlqSRHdbZbL8nDST7Zrh/Zs+28JGv1q1+SJA0rx2ZJ0rJgoK9Rrqq7gOnQDKjAfVV1bLt+X6fpTcDLgCPa9VcCV/Ts7iMj20qSpMXj2CxJWhYM9BnlcfgjcFWSGe36AcBX+xiPJEnLOsdmSdLQmiqJMsBpwIFJngE8Avyqp/5tnald509+eJIkLXMcmyVJQ2mgp16P038C/w7cDpw+Sv1Cp3clOQw4DGC19Z4+4QFKkrSMcWyWJA2lKXNGuaoeAuYCbwe+vpj7OLGqZlTVjGgUQB8AACAASURBVJXXWHtC45MkaVnj2CxJGlZT6YwywHHAf1XV3Un6HYskSXJsliQNoSmVKFfVFTz5jpoj3pbkNZ31l1fVzUs/KkmSll2OzZKkYZSq6ncMA2mdzbepv/7waJdTwdf223aSo5EkDbskc6tqxsJbaizrbL5N3X3DWDm3JEnjs6CxecpcoyxJkiRJ0kQwUZYkSZIkqWNKXaM8kTZbe1WnWEuSNEA2W3vVfocgSVpGeEZZkiRJkqQOE2VJkiRJkjqcej2G3/3uz3z1jDufUPaq/dbrUzSSJOl3v/tzv0OQJC0jPKMsSZIkSVKHibIkSZIkSR0Tnign2STJN5Ncl+SGJB9LslKSmUnuSTIvydVJju1sc0iSO5Jc0m53bpLnd+pPSrJ/uzw7yZxO3Ywks3ti+GiS25Is13OMT050fyVJWtYluW+UsjWTnJzk+vbzwMlJ1uzUb5XkO+24f3GSrybZcHIjlyRpdBOaKCcJ8A3grKraEtgKWB14f9vkgqqaDmwP7JXkBZ3NT6+q7dvtjga+keQ5YxxqgyR7jhHDcsC+wK3AbkvcKUmStDg+B9xYVVtU1ebATcBnAZKsApwDHF9VW1bVDsCngfX7Fq0kSR0TfUb5RcCDVfUFgKp6BHgb8DpgtZFGVfUAMA/YeLSdVNX5wInAYWMc5xjgfWPUzQSuAI4HZo27B5IkaYkk2QLYEfj3TvG/ATOSbA68Griwqr41UllVs6vq8smNVJKk0U10orwNMLdbUFX3Ar8AthgpS7I2sCXwowXs62Jg6zHqLgQeSvLCUepmAacCZwIvS7LiIkcvSZImwnOBee0X5sBjX57Po/mssC09nxckSRokk30zr12SzAduA86tqt8soG0Wsq+jgCOesEGyEvBSmqnf9wI/A3Zf1OCSHJZkTpI5995716JuJkmSlhLHZklSP0x0onwlzVSrxyRZA3gmcD3NNcrb0XybfGiS6QvY1/bAVWNVVtV5wKrATp3i3YG1gMuS3AzszDimX1fViVU1o6pmrLHGuou6mSRJeqIrgek9N9VcDpje1l1Bz+eFsTg2S5L6YaIT5R8CqyU5GCDJ8sBxwEnAH0caVdVNNDfsOny0nSTZjeb65M8s5HhHAe/qrM8CXl9V06pqGvAs4CVJVhttY0mSNPGq6nrgEp448+sI4OK27hTg+UleNlKZZNck205upJIkjW5CE+WqKpo7Tr8yyXXAtcCDwHtHaX4CsGuSae36Ae1PR13btt+vqsY8o9we7zvAHQBtMrwHzV00R+rvB34M7N0WHZLkl53HJovXU0mS1LFaz/j6T8ChwFbtT0PdQPNLGIfCYzf13At4S/vzUFcCb6Id0yVJ6rc0ua16bb759Prgh3/whLJX7bden6KRJA27JHOraka/4xhmm28+vW64YV6/w5AkTRELGpsn+2ZekiRJkiQNNBNlSZIkSZI6Vuh3AINq7bVXcKq1JEkDZO21/dgiSZocnlGWJEmSJKnDRFmSJEmSpA4T5TE8eMfDXP3p27n607f3OxRJkkQzNkuSNBlMlCVJkiRJ6jBRliRJkiSpY+gS5ST3jVK2ZpKTk1yf5IZ2ec1O/VZJvpPkuiQXJ/lqkg0nN3JJkibGaGNhp+6jSW5Lslyn7JAkjyZ5Xqfs8iTT2uXVkxzfjqEXJ5mb5H+3dTOTfLvnGCcl2b+zvl6Sh5O8oafdhklOSXJju88Lk+zb2e89SeZ1Hi9esmdGkqSJMXSJ8hg+B9xYVVtU1ebATcBnAZKsApwDHF9VW1bVDsCngfX7Fq0kSUtBmxzvC9wK7NZT/UvgfWNs+lngd8DIOLkHsM44Dv1K4KfArE4sAc4CflRVm1XVjsCBwCad7S6oqumdxw/GcUxJkpaaoU+Uk2wB7Aj8e6f434AZSTYHXg1cWFXfGqmsqtlVdfnkRipJ0lI3E7gCOJ5O0tr6NrBNkmd3C9ux8i+BI6rqUYCquqOqPjSO484C3g5snGQkEX4R8FBVnTDSqKpuqapPjGO/kiT1xdAnysBzgXlV9chIQbs8D9gG2BaY26fYJEmaTLOAU4EzgZclWbFT9yjwYeC9PdtsA8wfSZLHK8kzgKdX1c+BrwIHdPZ78UI236Vn6vXmixODJEkTbSokyhMmyWFJ5iSZ87v77u53OJIkLbIkKwEvBc6qqnuBnwG79zQ7BdgpybMWsJ/3tUnrr9qiGqPpSPkBNAkywGk8+Uz2yH4/lWR+kos6xb1Tr28YZTvHZknSpJsKifKVwPSem5YsB0xv666gmZq9UFV1YlXNqKoZa68+nkuzJEnqu92BtYDLktwM7ExP0lpVfwaOAw7vFF8JbDcyjlbV+6tqOrBGW38XsHbPsdYB7myXZwGHtMc8G3heki1pxt8dOsd+M/DXjPMeIY7NkqR+GPpEuaquBy4BjugUHwFc3NadAjw/yctGKpPsmmTbyY1UkqSlahbw+qqaVlXTgGcBL0myWk+7k4AX0yas7Vg5BzgqyfLw2I0w07a/DtgoyXPauk2B7YB5SbYCVq+qjTvH/WAby3nAKkne2Dl2byySJA2kYUyUV0vyy87jn4BDga3an7W4AdiqLaOqHgD2At7S/jzUlcCbgDv61QFJkpZQ71j4Xpo7VZ8z0qCq7gd+DOzd3bCqHgI+DmzQKX49sC5wfZI5wPeBd7Xt/wS8BvhCknnA12kS8ntoEuIze2I7A5hVVQW8HNgtyU1Jfg58kSeeze69Rnl/JEkaAGnGMfXadtPt6uuHfw+Ard/kTy5LkpZMkrlVNaPfcQyzbTfdri6/ZX6/w5AkTRELGpuH8YyyJEmSJElLjYmyJEmSJEkdK/Q7gEG1yvorOuVakqQBssr6Ky68kSRJE8AzypIkSZIkdZgoS5IkSZLUYaIsSZIkSVKHifIYHr79/n6HIEmSJEnqAxNlSZIkSZI6TJQlSZIkSeoY2kQ5ySNJ5nUe09rytyZ5MMmaPe33TDInyZVJLklyXD/iliRp0CSpJF/urK+Q5I4k3+6UvTzJpUmuSnJZkpd36k5KcluSldv19ZLc3C5PS/JAz5h9cJKvJHljZx//s92/vwElSeq7Yf4d5Qeqavoo5bOAi4BXAF8ASLIt8EngZVV1dZLlgcMmLVJJkgbb/cC2SVatqgeAlwC3jVQm2Q44FnhJVd2U5FnA95PcWFWXts0eAV4HHD/K/m/oHbOTnAtcmOTrwF004/Sbqurhie6cJEnjNbRnlEeTZHNgdeAImoR5xLuA91fV1QBV9UhVjTaQS5K0rPoO8LJ2eRZwaqfuHcAHquomgPbfDwLv7LT5KPC2JIv0JXxV3U6TfH8YeANwaVX9eIl6IEnSBBnmRHnVzhSuM9uyA4HTgAuAZyfZsC3fFpjbjyAlSRoSpwEHJlkFeB7ws07dNjx5HJ3Tlo/4BfBj4H+Nsu/Ne6Ze79KWnwA8lybhftcE9EGSpAkx1aZezwL2rapHk5wBvJJmKtciSXIY7ZTsTdZ+2oQFKknSoKuqS9v7fcyiObu8OD4IfBM4p6f8SVOv22M+muT/ATOq6q7Rdtgdm5/5zGcuZliSJI3PMJ9RfoIkfwFsSXPN1M00Z5dHpl9fAey4sH1U1YlVNaOqZqzzlLWWWqySJA2os2mmQ5/aU34lTx5Hd6QZXx9TVdcB84BXjeOYj7aPUXXH5vXXX38cu5UkafFNmUSZJik+sqqmtY+NgI2SbAocA7w3yVYASZZL8oZ+BitJ0gD6PPCvVXVZT/mxwHs6vzAxDXgvMNovSLyf5ppmSZKG1jBPve51IPDSnrIzgQOr6kNJ3gqcmmQ1oIBv9+5AkqRlWVX9Evj4KOXzkhwOfKv9+aaHgXdV1bxR2l6R5GJgh07x5km6bT9fVU86jiRJgyJV1e8YBtJ2z3hOzb/1qn6HIUmaIpLMraoZ/Y5jmM2YMaPmzJnT7zAkSVPEgsbmqTT1WpIkSZKkJWaiPIYVN3xKv0OQJEmSJPWBibIkSZIkSR1eozyGJH8Arul3HBNgPeDOfgcxAezHYJkq/YCp0xf7MVhG68emVeXvGy2BIR6bh/V9PYxxD2PMYNyTaRhjBuNeWsYcm6fSXa8n2jVT4aYrSebYj8FhPwbPVOmL/RgsU6UfA2gox+ZhfT8MY9zDGDMY92QaxpjBuPvBqdeSJEmSJHWYKEuSJEmS1GGiPLYT+x3ABLEfg8V+DJ6p0hf7MVimSj8GzbA+r8Y9eYYxZjDuyTSMMYNxTzpv5iVJkiRJUodnlCVJkiRJ6jBRHkWSPZJck+T6JO/udzzjkeTmJJclmZdkTlu2TpLvJ7mu/XftfsfZK8nnk/w2yeWdslHjTuPj7etzaZId+hf5E43RjyOT3Na+JvOSvLRT9562H9ck2b0/UT9ZkmckOT/JlUmuSPKPbflQvSYL6MdQvSZJVkny8yTz2378a1v+rCQ/a+M9PclKbfnK7fr1bf20fsY/YgH9OCnJTZ3XY3pbPpDvqxFJlk9ySZJvt+tD9XoMm0Edm4f570zG8ZlhUP4/Jnl25zmdl+TeJG8dtOc7E/S5Jsnfte2vS/J3fYr7mCRXt7GdmWSttnxakgc6z/kJnW12bN9b17d9Sx/iHvd7YjL/zowR8+mdeG9OMq8tH6TnesI+I072+3vcqspH5wEsD9wAbAasBMwHntvvuMYR/83Aej1lHwbe3S6/G/hQv+McJe5dgR2AyxcWN/BS4LtAgJ2An/U7/oX040jgHaO0fW77/loZeFb7vlu+331oY3s6sEO7/FTg2jbeoXpNFtCPoXpN2ud19XZ5ReBn7fP8VeDAtvwE4I3t8puAE9rlA4HT+92HhfTjJGD/UdoP5PuqE98/AacA327Xh+r1GKYHAzw2D/PfGcbxmWEQ/z+274vfAJsO2vPNBHyuAdYBbmz/XbtdXrsPcf8NsEK7/KFO3NO67Xr28/O2L2n7tmcf4h7Xe2Ky/86MFnNP/XHA/x3A53pCPiP24/093odnlJ/sL4Hrq+rGqnoIOA3Yp88xLal9gC+2y18EXt7HWEZVVT8C7u4pHivufYCTq/FTYK0kT5+cSBdsjH6MZR/gtKr6U1XdBFxP8/7ru6r6dVVd3C7/AbgK2Jghe00W0I+xDORr0j6v97WrK7aPAl4EfL0t7309Rl6nrwN/vbS/YV4UC+jHWAbyfQWQZBPgZcBn2/UwZK/HkBnYsXmq/J3pGKa/838N3FBVtyygTV+e7wn6XLM78P2quruqfgd8H9hjsuOuqu9V1Z/b1Z8CmyxoH23sa1TVT6vJiE5mKX/2nKDPX5P6d2ZBMbdjxKuAUxe0jz491xP1GXHS39/jZaL8ZBsDt3bWf8mCB7xBU8D3ksxNclhbtmFV/bpd/g2wYX9CG7ex4h7G1+gf2ukmn8/jU9+Hoh9ppoluT3P2b2hfk55+wJC9Jmmm+c4DfkszmNwA/L7z4aUb62P9aOvvAdad3IhH19uPqhp5Pd7fvh4fSbJyWzawrwfwUeBdwKPt+roM4esxRAb5vfCYIfw7M57PDIMU94gDeWIiMejP93if20GKfcTraM4OjnhWmktQ/ivJLm3ZxjSxjuhn3ON5TwzS870LcHtVXdcpG7jnegk/Iw7S8z0qE+WpZ+eq2gHYE3hzkl27le23TUN3q/Nhjbt1PLA5MB34Nc1UmqGQZHXgDOCtVXVvt26YXpNR+jF0r0lVPVJV02m+yf9LYOs+h7RYevuRZFvgPTT9+R80U7AO72OIC5VkL+C3VTW337FocAzp35mh/cyQ5h4Afwt8rS0ahuf7MYP83I4lyfuAPwNfaYt+DTyzqranvRQlyRr9im8UQ/We6DGLJ34JNHDP9VT5jLggJspPdhvwjM76Jm3ZUKiq29p/fwucSfOB+vaR6VHtv7/tX4TjMlbcQ/UaVdXtbXLwKPAZHp/yNdD9SLIizR/Ar1TVN9rioXtNRuvHsL4mAFX1e+B84K9opi+t0FZ1Y32sH239msBdkxzqAnX6sUc7jauq6k/AFxj81+MFwN8muZlmat6LgI8xxK/HEBjU9wIwvH9nxvmZYWDibu0JXFxVt8NwPN+M/7kdmNiTHALsBRzUJkG0U5fvapfn0sx02qqNsTs9uy9xL8Z7YiCe73aceAVw+kjZoD3XE/QZcSCe7wUxUX6yi4At09y9dCWaaT1n9zmmRZLkKUmeOrJMc/OFy2niH7mT3N8B3+xPhOM2VtxnAwe3d9HbCbinM9Vj4PRcw7UvzWsCTT8OTHNH3GcBW9LckKHv2mtjPgdcVVX/0akaqtdkrH4M22uSZP08fpfRVYGX0FwTdD6wf9us9/UYeZ32B84b+WDTT2P04+rOwBqaa5q6r8fAva+q6j1VtUlVTaMZI86rqoMYstdjyAzs2Dysf2cW4zPDoP1/fMIZt0F/vjuxjOe5PRf4myRrt9OG/6Ytm1RJ9qC51ORvq+qPnfL1kyzfLm9G89ze2MZ+b5Kd2v8fB9OHz56L8Z4YlL8zLwaurqrHplQP0nM9gZ8RB+L9vUA1AHcUG7QHzd3ZrqX5tuZ9/Y5nHHFvRnOHvvnAFSOx01wL90PgOuAHwDr9jnWU2E+lmVbyMM01CoeOFTfNXfM+1b4+lwEz+h3/QvrxpTbOS2n+WDy90/59bT+uYSnfpXCc/diZZsrMpcC89vHSYXtNFtCPoXpNgOcBl7TxXs7jd8HcjGZwv55m+uHKbfkq7fr1bf1m/e7DQvpxXvt6XA58mcfvjD2Q76uePs3k8bteD9XrMWwPBnRsHta/M4zzM8Mg/X8EnkIzK2PNTtlAPd9M0OcammuCr28fr+1T3NfTXEs68v4euYv/fu17Zx5wMbB3Zz8z2r/pNwCfBNKHuMf9npjMvzOjxdyWnwS8oaftID3XE/YZcbLf3+N9pA1SkiRJkiTh1GtJkiRJkp7ARFmSJEmSpA4TZUmSJEmSOkyUJUmSJEnqMFGWJEmSJKnDRFmSJEmSpA4TZWmKSjItSSVZod+xSJKk4ZJkdpLX9zsOqV9MlKUBkOTmJA8kuS/J75Kck+QZS/F4I0n0fe3j5iTvnoD9npTkqImIcWkY9PgkScMvyYFJfpbk/iS/bZfflCQL2W5mkl921p/ejtUbdsreN0bZfy5hzEcm+fKS7EOaakyUpcGxd1WtDjwduB34xCQcc632mPsD/5zkJZNwzMWShn+zJEkDK8nbgY8BxwBPAzYE3gC8AFhpPPuqql8D1wO7dop3Ba4epexHix/10uX4rWHlm1YaMFX1IPB14LkASdZMcnKSO5LckuSIkQEnyXLt+i3tt9YnJ1lztP0m2a89c7ztKMecA1wBTO+0f12Sq9oz3Ocm2bQtT5KPtMe7N8llSbZNchhwEPCu9iz1t9r2705yQ5I/JLkyyb6dYzzhG+ze6eLttK/3J/lv4I/AZkle28b1hyQ3Jvn7zvYzk/wyydvb+H6d5LVt3ajxSZI0Edrx99+AN1XV16vqD9W4pKoOqqo/JVk5ybFJfpHk9iQnJFk1yVOA7wIbdWZ7bUSTAO/a7n95YAeaRLxb9ldtuzHH7rbuY0lubcfuuUl2acv3AN4LHNAed36nW5sm+e92zP1ekvU6+9spyU+S/D7J/CQzO3VPGr8n+OmWljoTZWnAJFkNOAD4aVv0CWBNmkFmN+Bg4LVt3SHt44Vt/erAJ0fZ52uBDwEvrqrLR6nfCdiW5ptrkuxDM2i+AlgfuAA4tW3+NzQD9FZtXK8C7qqqE4GvAB+uqtWrau+2/Q3ALm3bfwW+nOTp43hK/hdwGPBU4Bbgt8BewBrt8/CRJDt02j+tPdbGwKHAp5KsvYD4JEmaCH8FrAx8cwFtjqYZP6cDW9CMVf+3qu4H9gR+1Y5Rq1fVr+gkysD2wFXAD3vKVgR+vpCxG+Ci9rjrAKcAX0uySlX9J/AB4PT2uNt1tnk1zVi7Ac0Z8XcAJNkYOAc4qt3fO4Azkqzf2bZ3/JaGiomyNDjOSvJ74B7gJcAx7TfFBwLvab+Zvhk4jmbwgeYM6X9U1Y1VdR/wHuDAPPEGXm8F3gnMrKrre455Z5IHgAuBTwNnteVvAD5YVVdV1Z9pBtDp7TfTD9MMelsDadv8eqxOVdXXqupXVfVoVZ0OXAf85Tiel5Oq6oqq+nNVPVxV51TVDe239P8FfI8mER/xMPBvbdvvAPcBzx7H8fT/2bvzeC2rev//r7cDCiKDgJpibkXMlHIrnDJHtDziVOKQ7p8eo+zQZKXmUOY5x9NXy6OS5JBGJyXLMRWcKCqVE5bTBhnCCRESLRVxwAES8fP741q3XN7c92az2fueeD8fj+vBda21ruv+rO3eXve61rrWMjOzjugPvJzumwDkelyXStqPrOF4akS8EhFvkN1fj2vjmv8HDJHUh+xeNzUi5gIDcmkPRsQ7tH3vJiJ+HRGL0/10DFmjfnX3x2si4qmIWArczMqRZycAkyJiUrq//wFoBQ7JnfuB+/fqfnhmtcYNZbPacURE9AE2Bk4muzkOJHtSnH8S+zeyJ9AAW5XI24DsnaiCM4ArIuI5VtWfrBf6O8Dw9FkA2wI/STf314BXAAFbR8S9ZL3WVwAvSRonqVe5Skk6UdKM3LWGpM9tr4VF1ztY0oOSXknXO6ToeovzX1LIhnz1XIPPMzMz64jFQP/8w+qI2DPd2xeT3Zt7ANNy98TfkfX+lpQekD9P1iDel6yXGOAvubTC+8ll790Akk5Pw7JfT/m9Wf39+IXcfv5+ui1wTOGz0vX2JptnpeAD92+zeuOGslmNiYgVEXEbsALYg6yHdNtckQ+T3TQB/l4i712yycAK/hU4R9JRbXzej4FlwNdT8kLgKxHRJ7d1j4i/pHMujYihZO9R70jWGAeI/LXTU+yfkzX8+6UvC38lu3EDvEX2paFgy1Ih5q63EXArcDGwRbrepNz1VidWX8TMzKxDHgD+CXyuTP7LwFJgl9y9tXeaVBPK36MKw68/RdZAhqzBvC9Z47TQUC57707vI59J9rpU33T/fJ2V9881vT8uBH5V9FmbRMQFuTK+51pdc0PZrMZkc2Xpc0BfskblzcD5kjZNDc/TgMIEWDcAp0raTlJPVr5jlO9RnQOMIHtX97NtfPQFZBNdbQxcBXxP0i4ppt6Sjkn7/yLpk5I2JGvoLgPeS9d4kQ9O2LEJ2Y1yUTr3i2Q9ygUzgH0lfThNgvK91fx4upENFVsEvCvpYLIHAe1VHJ+ZmVmniIjXyObi+Kmko9N9ez1JzWT3w/fIHh5fImlzyN71lXRQusSLQD+tOinnn8jmJ/l7RCxJafentN5kDXRo495N9srUu2T3zw0k/SfZXB8FLwJNav/s1L8GDpd0kKT1JW2sbELNge0836zmuaFsVjvulPQmsAQ4H/hCRMwBvknWIH2G7MZ4PXB1Oudq4FdkN9H5ZI3WbxZfOCJmkk2A9fPUuCzlbuBV4N8jYgLZ5F83SlpC1mAvnNeL7Eb/KtlQ78Vky2AA/ALYOQ3DmhgRj5G9U/0A2U34Y8Cfc3H9AbgJmAVMA+5q6weU3uf6FtnDg1fJJhm5o61zinwgvjU4z8zMbLUi4kKyB9pnkt33XgR+BpxF1ht8FtnEmQ+m++sfSe8JR8QTZA/An0n3qa3SZf+PbDKt+3MfNQPoDkyLiLfT+W3duyeTDfN+iuzevYwPDo3+Tfp3saTp7ajnQrKe87PJGt8LyUaXuW1hDUMRHhVhZmZmZmZmVuCnPmZmZmZmZmY5biibmZmZmZmZ5bihbGZmZmZmZpbjhrKZmZmZmZlZjhvKZmZmZmZmZjkbVDuAWtW/f/9oamqqdhhmZtYgpk2b9nJEDKh2HPXM92YzM+tMbd2b3VAuY+AmvfjtSadUOwwzM6uiAV87odOuJelvnXaxdVRTUxOtra3VDsPMzBpEW/dmN5TNzMysLry76BUWXfnraodhZmZV1JkPsdvS4XeUJW0p6UZJ8yRNkzRJ0o4p7xRJyyT1zpUfLul1STMkPSHp4lzeKEmLJD0qaa6kyZL2zOWPl3R02p8iqTWXN0zSlKLYxkp6XtJ6RZ9xeUfra2ZmZmZmZuuGDjWUJQmYAEyJiEERMRT4HrBFKtICPAIcWXTq1IhoBnYDDpO0Vy7vpojYLSIGAxcAt0n6aJkQNpd0cJnY1gNGAguB/TpQPTMzM1tDkraQdL2kZ9ID9AckjSx6UP64pP9K5fPphe0z1a6HmZkZdLxHeX9geURcVUiIiJkRMVXSIKAncA5Zg3kVEbEUmAFsXSb/PmAcMLrM518EfL9M3nBgDnBluc83MzOzzpMeoE8E/hQR26cH6McBA1ORwoPyYcAJknbPp+e2P1Y+ejMzs1V1tKE8BJhWJu844EZgKvARSVsUF5DUFxgM/KmNz5gO7FQm7wHgHUn7l8hrAW4g6/E+VNKGbXyGmZmZrb0DgHeKHqD/LSIuyxeKiLfIvj/sUOH4zMzM1khXrKPcAtwYEe8BtwLH5PL2kTQTeB6YHBEvtHEdreZzziPrtV55gtQNOASYGBFLgIeAg9obuKTRkloltS5+c0l7TzMzM1vX7UL2gLtNkvoBe5CN/ILse0F+6PWgrgzSzMysvTraUJ4DDC1OlPQxsp7iP0haQNa7nB/+PDUidiW7oZ4kqbmNz9gNeLxcZkTcC3Qnu+EWHAT0AWanz9+bNRh+HRHjImJYRAzr17NXe08zMzOzHElXSJop6ZGUtI+kR4HfAxdERKGhXDz0el6Ja/khtpmZVVxHG8r3AhtJev8dYkkfBy4Fzo2IprRtBWwladv8yRExn2zCrrNKXVzSfmTvJ/98NXGcB5yZO24Bvlz4fGA74EBJPdaodmZmZrYm5gCF946JiG8AnwYGpKSpacLOofnh2e3hh9hmZlYNHWooR0SQzSz9mbQ81BzgR2QTaU0oKj6BrGe52FXAvpKa0vGxadjVU8DZwFERUbZHOcUxCVgEkBrDI4C7c/lvAfcDyHPH1QAAIABJREFUh6ekUZKey20Di69pZmZma+xeYGNJX8ul+SG1mZnVrQ06emJE/B34fDvKnZY7nJJLX8rKWa/Hp63cNUbl9ocX5eWHgG9W4tz8ElVlP8PMzMw6JiJC0hHAJZLOJHuI/RZlRo7l7CNpRu74vIi4paviNDMza68ON5TNzMzMCiLiH5QeQQa5B+W58lOA3l0YkpmZWYe5oVzGBgM2Y8DXTqh2GGZmZmZmZlZhbiibmZlZXfBDbDMzq5SuWEfZzMzMzMzMrG65R7mMd15awHOXf6naYZjVtIEnX13tEMzMzMzMOp0bymZmZlYX3nlpHs9eenS1wzAz61If/pYn/68FdTn0WtIWkq6X9IykaZIekDRS0nBJr6f1mB+X9F+pfD69sH2m2vUwMzMzMzOz2lN3PcqSBEwEfhkR/19K2xb4LPAqMDUiDpO0CTBD0p3p1KkRcVhVgjYzMzMzM7O6UY89ygcA70TEVYWEiPhbRFyWLxQRbwHTgB0qHJ+ZmVlDkrQijcqaI2mmpO9IWq+ozERJD6b9g3Ijud6U9GTav9ajvczMrJbVXY8ysAswfXWFJPUD9gD+HzAA2EfSjFyRoyJiXteEaGZm1pCWRkQzgKTNgeuBXkDhVac+wFDgTUnbR8RkYHLKmwKcHhGt6Xg4Hu1lZmY1qh57lD9A0hXpqfYjKWkfSY8CvwcuiIg5KX1qRDTntlUayZJGS2qV1PrKm8sqVQUzM7O6ExEvAaOBk9NrUQBHAncCNwLHVSs2MzOztVWPDeU5wO6Fg4j4BvBpsl5jyBrEu0XE0Pzw7PaIiHERMSwihm3Wc+POi9jMzKwBRcQzwPrA5impBbghbS3tuMQ+RUOvB3VRqGZmZmukHhvK9wIbS/paLq1HtYIxMzOzbEUKYDBwf0Q8BSyXNGQ1p63haK9/dkXoZmZmq6i7hnJEBHAEsJ+k+ZIeBn4JnLWaU4ufWnshRjMzs7UgaXtgBfAS8HmgLzBf0gKgifb1Krfpg6O9Nlrby5mZmbVLPU7mRUT8g/LvPk0pUX4K0LsLQzIzM1unSBoAXAVcHhEhqQUYEREPpPztgD8C369imGZmZh1Slw1lMzMzq4ruaQWJDYF3gV8BP5bUBGwLPFgoGBHz0/JPn4yIh8pcr3hFivMi4pauCd3MzKz93FAuo9vmTQw8+epqh2FmZlYzImL9MlkLgK1LlM9Pvjm8KG8KHu1lZmY1qu7eUTYzMzMzMzPrSu5RLuONl+dy3/8eWu0wrBPs/+W7qx2CmZl1gm6bD+LD3/LIbDMz63ruUTYzMzMzMzPLqdmGsqQVaRmnOZJmSvqOpPWKykyU9GDaPyi39NObkp5M+9dKGp4mFMkvD/WZ6tTMzMzMzMzMalktD71eGhHNAJI2B64HegH/ldL6AEOBNyVtHxGTgckpbwpwekS0puPhwNSIOKzSlTAzM7POseTluUz+xSHVDsOsLhx00qRqh2BW12q2RzkvIl4CRgMnS1JKPhK4E7iR8msqm5mZmZmZma2RumgoA0TEM8D6wOYpqQW4IW0t7bjEPkVDrwd1UahmZmYNS1K/3L30BUnP547fTmWaJIWk83Ln9Ze0XNLl6fjconNnpNFiZmZmVVfLQ6/LkrQFMBi4PyIi3XiHRMRf2zhttUOvJY0m67lmi8027ryAzczMGkRELAYKr0adC7wZERen4zdzRecDhwLnpONjgDlFl7ukcK6ZmVktqZseZUnbAyuAl4DPA32B+ZIWAE20r1e5TRExLiKGRcSw3pt2W9vLmZmZrcveBh6XNCwdHwvcXMV4zMzM2q0uGsqSBgBXAZdHRJA1ikdERFNENJFN6uX3lM3MzGrLjcBxkrYhe9j996L8U3PDru+rfHhmZmal1fLQ6+6SZgAbAu8CvwJ+LKkJ2BZ4sFAwIuan5Z8+GREPlbnePul6BedFxC1dE7qZmZkBvwP+H/AicFOJ/NUOvc6/FrW5X4syM7MKqdmGckSsXyZrAbB1ifK75/aHF+VNAXp3XnRmZma2OhHxjqRpwHeAnYHPduAa44BxADs29Y7OjdDMzKy0mm0om5mZWUMYA/xfRLyycoVHMzOz2uaGchmb9h/M/l++u9phmJmZ1bWImMOqs10XnCrphNzxERGxoOujMjMza5sbymZmZtYhEXFu0XHP9O8CYEiJ8uOB8blzzy0uY2ZmVgvqYtZrMzMzMzMzs0pxj3IZixc/xfhf/mu1w6g5o77w+2qHYGZmZmZm1qXcUDYzM7O60Kv/YA46aVK1wzAzs3VATQ+9ltRP0oy0vSDp+dzx26lMk6SQdF7uvP6Slku6PB2fW3TuDEl9qlUvMzMzMzMzq1013aMcEYuBZsgau8CbEXFxOn4zV3Q+cChwTjo+hlVn2LykcK6ZmZmZmZlZOTXdUF4DbwOPSxoWEa3AscDNwFbVDcvMzMw6y6LFc/nZrw6qdhid7iv/NrnaIZiZWZGaHnq9hm4EjpO0DbAC+HtR/qm5Ydf3VT48MzMzMzMzqweN1FD+HXAgcBxwU4n8SyKiOW37l7qApNGSWiW1vvHG8q6M1czMrO5JGijpdklzJc2T9BNJ3SQNl/R6ejj9hKSLi84bIenhlDdD0k2SPlytepiZmRVrmIZyRLwDTAO+A9zSwWuMi4hhETFs00037NT4zMzMGokkAbcBEyNiMLAj0BM4PxWZGhHNwG7AYZL2SucNAS4DvhARO6Uy1wFNFa6CmZlZWY3yjnLBGOD/IuKV7P5tZmZmXeQAYFlEXAMQESsknUo2web7rzhFxFJJM4CtU9JZwA8j4vFcmTsqF7aZmdnqNUyPMkBEzImIX5bJzr+jPENSUwVDMzMzazS7kI3kel9ELAGeBXYopEnqCwwG/pQ7b3qFYjQzM+uQuulRjohzi457pn8XAENKlB8PjM+de25xGTMzM+sy+0iaSdZIHhsRLxQXkNQPuAfoAYwrtYyjpNHAaIDN+m3ctRGbmZklDdWjbGZmZhXzGDA0nyCpF/Bh4Gmyd5R3JetBPklScyo2B9gdICIWp3eUx5G937yK/PwhPTft1jU1MTMzK1I3PcqV1q/fjoz6wu+rHYaZmVmtuge4QNKJEXGtpPXJ5goZD7xdKBQR8yVdQPZucgtwITBB0oO595R7VDZ0MzOztrlH2czMzNZYRAQwEjhG0lzgKWAZcHaJ4lcB+0pqiojZwLeBayU9KenPwEeB6ysUupmZ2Wq5R9nMzMw6JCIWAoeXyJqStkK5payc9ZqIuBu4u4vDMzMz6zA3lMt4/tW5fP83I6odRpc4/5jfVTsEMzMzMzOzmuWGspmZmdWFAf0G85V/m1ztMMzMbB1Qc+8oSwpJY3LHp0s6N3c8WtITaXtY0t65vCnpfaeZkh7JzbCJpAWSZkuaJen3krasWKXMzMzMzMysbtRcQxn4J3CkpP7FGZIOA74C7B0ROwFfBa4vavQen5aj+ClwUdEl9o+IjwOtlJ5sxMzMzMzMzNZxtdhQfpdsPcVTS+SdBZwRES8DRMR04JfAN0qUfYDcxCFF/gTssPahmpmZmZmZWaOp1XeUrwBmSbqwKH0XYFpRWivwhRLXGAFMLHP9w4DZxYmSRgOjAXr133hN4jUzM7MutuC1uXxxQv1PtHnNSE+qaWZW62qyoRwRSyRdC3wLWLqGp18nqRvQE2guyrtP0gpgFnBOic8dR9abzYcG9Y41DtzMzMzMzMzqXi0OvS4YC5wEbJJLewwYWlRuKDAnd3w8sD3ZkOzLisruHxHNEXFiRLzWyfGamZlVlaQtJd0oaZ6kaZImSdox5Z0iaZmk3rnywyW9LmlGmiTz4lzeKEmLJD0qaa6kyZL2zOWPl3R02p8iqTWXN0zSlKLYxkp6XtJ6RZ9xeZf8MMzMzNZCzTaUI+IV4GayxnLBhcD/SOoHkGa1HkU2cVf+3AD+A9hD0k4VCdjMzKyKJAmYAEyJiEERMRT4HrBFKtICPAIcWXTq1IhoBnYDDpO0Vy7vpojYLSIGAxcAt0n6aJkQNpd0cJnY1gNGAguB/TpQPTMzs4qq2YZyMgZ4f/briLgDuBr4i6QngJ8DJ0TEP4pPjIil6fwzKhSrmZlZNe0PLI+IqwoJETEzIqZKGkT2StI5ZA3mVaT75gzKTIQZEfeRvZ40usznXwR8v0zecLLRX1eW+3wzM7NaUnPvKEdEz9z+i0CPovwryW60pc4dXnQ8Jrff1JlxmpmZ1ZghrDrhZcFxwI3AVOAjkrZI99j3SeoLDCZbGaKc6WTLNJbyADBS0v7AG0V5LcANwO3ADyVtGBHL26qMmZlZNdVcQ7lWbN13MOcf41kpzcysIbQAIyPiPUm3AscAhXeD95E0k6yRPDYiXmjjOlrN55xH1mt91vsnZBNsHgKcFhFvSHoIOAi4qz2B51ek2GSAV6QwM7PKqPWh12ZmZtY+c1h1wkskfYysEfwHSQvIepfzw5+nRsSuZEswnpTm/yhnN+DxcpkRcS/QHdgjl3wQ0AeYnT5/b9Zg+HVEjIuIYRExbONe3dp7mpmZ2VpxQ9nMzKwx3AtslHpgAZD0ceBS4NyIaErbVsBWkrbNnxwR88km7DqLEiTtR9az+/PVxHEecGbuuAX4cuHzge2AAyX1KHWymZlZLfDQ6zLmvvY8h0w8u9phtNukI35Y7RDMzKyKIiIkjQTGSjoLWAYsIJtI62tFxSeQ9Sw/VJR+FXC6pKZ0fKykvcnmC5kPHBURZXuUUxyTJC0CSI3hEcBXc/lvSbofODwljZJ0RO4Se0TEc6utsJmZWRdyQ9nMzKxBRMTfgc+3o9xpucMpufSlrJz1enzayl1jVG5/eFFefgj4ZiXOzS9RVfYzzMzMqqXLh15LWiFphqS/SvpNYahVLr2wfTelT5H0pKSZkh7Jvysl6UuSZkuala73uZQuSedImivpKUn3Sdold96CNHlJ4fhoSeO7uu5mZmZmZmZWfyrRo7w0IpoBJF1HNvzqx/n0Eo6PiFZJXyRbl/FASQPJ1mfcPSJel9QTGJDKfwPYE9g1It6W9K/AHZJ2iYhlqcxQSTtHxGNdU00zMzPrSk19BnPNSK9IYWZmXa/Sk3lNBXZYg/IPsHII2OZk6zK+CRARb6aJRyCbeOTkiHg75f0e+AtwfO5aY8ga2mZmZmZmZmZlVayhLGkD4GBgdkrqXjT0+tgSp40AJqb9mcCLwHxJ10g6PF23F7BJRDxTdG4r2VIXBTcDu0tak4a6mZmZmZmZrWMqMfS6u6QZaX8q8Iu039bQ6+skdQN6As0AEbFC0gjgX4BPA5dIGko2jLs9VpAN4/4e8NtSBdKSGqMBNh7Qq52XNTMzs0qY+9oLHDrhoi67/t0jz+iya5uZWX2pRI/y0ohoTts3I+KddpxzPLA98EvgskJiZB6OiB+RLWtxVEQsAd6StH3RNYYCc4rSfgXsC2xT6kMjYlxEDIuIYd16eXlHMzMzMzOzdVGl31Fut4gI4D+APSTtJGkrSbvnijQDf0v7FwGXSuoOIOkzwN7A9UXXXA5cApza1fGbmZmZmZlZfapmQ7n4HeULiguk9RzHAGcAGwIXS3oiDeU+Fvh2KnoZ8AgwW9KTZA3sz6Xzi/0Crx9tZmbrMC/daGZm1rYubzBGRM8y6euXSR9edDwmd3hAmXMC+O+0lcpvyu3/E9iqrZjNzMwanJduNDMza0PNDr02MzOzivDSjWZmZkU8BLmMwX22ZtIRP6x2GGZmZl0mt3Tj71JSfqUKgB9FxE1Fp5VbuvEe4LaIuHMNl278upduNDOzWuOGspmZ2bqnTpdu7NPOy5qZma0dD702MzNb99Tp0o2btK92ZmZma8k9ymXMffVlDr3151X7/LuP+veqfbaZmVkpERGS/gOYJ2knYAmwZURMT0VKLd14TEQszS3d+JWiay6XdAnwXeDeilTEzMxsNdxQNjMzs4Lid5R/FxHfzRdIjd7C0o0/IFu6cStgGbCIbAZtyHqd+5It3bgCeIG2l248p3OrYmZm1nF101BOS1BcAexMNmT8LrKb9J7A7cB8YGPgrog4PXfeCLIbeS+ym/iTwBkR8WxFK2BmZlYjvHSjmZlZ2+riHWVJAm4DJkbEYGBHsslEzk9FpqbJR3YDDpO0VzpvCNkT7S9ExE6pzHVAU4WrYGZmZmZmZnWiXnqUDwCWRcQ18P4sm6eS9SLfVyiUhoPNYOX6jmcBP4yIx3Nl7qhc2GZmZtZZBvfZkrtHnlHtMMzMbB1QFz3KZGsuTssnpBk1nwXeX3tRUl9gMPCn3HnTaSdJoyW1Smp9Z8kbax20mZmZmZmZ1Z96aSivzj6SZgLPA5Mj4oXiApL6SZoh6SlJp696ieIlKDbt6pjNzMzMzMysBtXL0OvHgKPzCZJ6AR8GniZ7R/kwSdsBD0q6OSJmkK3VuDswMyIWA82pkVxyEhMzMzOrXU+/+gqH3XJdh8+/6+jjOzEaMzNrZPXSo3wP0EPSiQCS1gfGAOOBtwuFImI+cAHZu8kAFwLfl/TR3LV6VCJgMzMzMzMzq0910VBOS0yMBI6RNBd4imypp7NLFL8K2FdSU0TMBr4NXCvpSUl/Bj4KXF+h0M3MzMzMzKzO1EVDGSAiFkbE4RExOCIGRcQ3I+KfETElIg7LlVsaEVtHxIJ0fHdE/EtEfCQi9oqIloh4qmoVMTMzqzBJAyXdLmmupHmSfiKpm6Thkl5Pc3g8Ieni3DmjJC2S9Gg6b7KkPXP54yUdnfanSGrN5Q2TNKUohrGSnpe0XtFnXN6llTczM+uAenlHueIG9+3P3Uf9e7XDMDMzWyuSBNwGXBkRn0uvL40DzgfuZuU8H92BRyVNiIg/p9NvioiT03X2B26TtH9+2cWczSUdHBG/LRHDemQjwxYC+5Fb2tHMzKwW1U2PspmZmXXIAcCyiLgGICJWAKcCXyI3b0dELAVmAFuXukhE3EfWwB5d5nMuAr5fJm842QSbVwIta1wDMzOzCnND2czMrLHtAkzLJ0TEEuBZYIdCmqS+wGDgT21cazqwU5m8B4B3Us9zsRbgBmACcKikDdsbvKTRkloltb6zZEl7TzMzM1srHnpdxtOvvsbht0xYbbk7jx5ZgWjMzMy6zD6SZpI1ksdGxAttlNVqrnUecA4rV59AUjfgEOC0iHhD0kPAQcBd7QkuIsaR9WTTZ9D20Z5zzMzM1pZ7lM3MzBrbY8DQfIKkXsCHgafJ3lHelazn+SRJzW1cazeg1PvJAETEvUB3YI9c8kFAH2C2pAXA3nj4tZmZ1bi6ayhLerNEWm9J10p6Os3mea2k3rn8HSVNSrN2Tpd0s6QtKhu5mZlZVdwD9JB0IkCazGsMMB54u1AoIuYDF5DrDc6TtB/Z+8k/X83nnQecmTtuAb4cEU0R0QRsBxwoqUepk83MzGpB3TWUy/gF8ExE7BARg4D5wP8CSNqYbFbPK9PSUrsDPwUGVC1aMzOzComIIJtx+hhJc4GngGXA2SWKXwXsK6kpHR+blo56KpU/qsyM1/nPmwQsAkiN4RFk9+FC/lvA/cDhKWmUpOdy28CO1dTMzKzz1P07ypJ2IBtSdmwu+QfA05IGkS1D8UBE3FnIjIgpFQ3SzMysiiJiISsbpnlT0lYot5SVs16PT1u5a47K7Q8vyssP9d6sxLlH5g7LfoaZmVm1NEKP8s7AjLTcBfD+0hczyN63GkLRbJ9mZmZmZmZm5dR9j3JnkjSatD5k9/4emW1mZlZLdui7GXcdfXy1wzAzs3VAI/QoPwY0S3q/Lmm/OeXNoWi2z3IiYlxEDIuIYd169eqSYM3MzMzMzKy21X1DOSKeBh4lW7ex4Bxgesq7HthT0qGFTEn7ShpS2UjNzMzMzMysHtTj0Osekp7LHf8YOAm4TNK8lPZASiMilko6DBgraSywHJgFfLuCMZuZmdlaevrVNzjilnvW6JyJR3+6i6IxM7NGVncN5Ygo1wt+QhvnPEG2PIWZmZmZmZlZm+p+6LWZmZl1LUkhaUzu+HRJ5+aOR0t6Im0PS9o7lzdF0pOSZkp6RFJzLm+BpNmSZkn6vaQtK1YpMzOzNtRdj3Kl7NC3D3cePbLaYZiZmdWCfwJHSvpRRLycz0ivN30F2DsiXpa0OzBR0ici4oVU7PiIaJX0ReAi4MDcJfZP5/0QOBv4VtdXx8zMrG3uUTYzM7PVeRcYB5xaIu8s4IxCAzoipgO/BL5RouwDwNZlPuNPwA5rH6qZmdnac0PZzMzM2uMK4HhJvYvSdwGmFaW1pvRiI4CJZa5/GDB7rSI0MzPrJB56Xca8V9/iqFsfbrPMrUd9okLRmJmZVVdELJF0LdnQ6KVrePp1kroBPYHmorz7JK0gW5HinOITJY0GRgN077/5GsdtZmbWEe5RNjMzs/YaS7b84ia5tMeAoUXlhgJzcsfHA9uTDcm+rKjs/hHRHBEnRsRrxR8YEeMiYlhEDOvWq89aV8DMzKw96rahLGmFpBm5rSmlnyJpWfHQMEkHS2qV9JikR/Ozd5qZmdnqRcQrwM1kjeWCC4H/kdQPIM1qPQr4adG5AfwHsIeknSoSsJmZWQfV89DrpRFRPHwLoAV4BDgSuAZA0hDgcuDQiHhC0vqkYVxmZma2RsYAJxcOIuIOSVsDf5EUwBvACRHxj+ITI2JpelB9Bh9sbJuZmdWUem4or0LSILL3n74OfJ/UUAbOBM6PiCcAImIFcGVVgjQzM6szEdEzt/8i0KMo/0rK3FcjYnjR8ZjcflNnxmlmZtZZ6nboNdA9N+x6Qko7DrgRmAp8RNIWKX0Iq87IaWZmZmZmZraKeu5RLjX0ugUYGRHvSboVOIZsyHW7fHBmzS07LVAzMzNbezv03ZSJR3+62mGYmdk6oJ57lD9A0seAwcAfJC0g611uSdlzWHVGzlXkZ9bcyDNrmpmZmZmZrZMapqFM1ig+NyKa0rYVsJWkbYGLgLMl7QggaT1JX61msGZmZmZmZlabGqmhfBwwoShtAnBcRMwCTgFukPQ48Fey9RzNzMzMzMzMPqBu31HOz8CZjldp+EbEabn9u4C7KhCamZmZdYGFr73DtyYsbFfZS0du08XRmJlZI6vbhnJXG9R3E2496hPVDsPMzMzMzMwqrJGGXpuZmVkVSHqzRFpvSddKelrSvLTfO5e/o6RJkuZKmi7p5tyyjmZmZlXlhrKZmZl1hV8Az0TEDhExCJgP/C+ApI2Bu4ErI2JwROwO/BQYULVozczMcjz0uowXX1vOjye80GaZ00Z6rWUzM7NiknYgW5bx2FzyD4CnJQ0C9gMeiIg7C5kRMaWiQZqZmbXBPcpmZmbW2XYGZkTEikJC2p8B7AIMAaZVKTYzM7PV6vSGsqSBkm5P7xzNk/QTSd0kDZf0uqQZkp6QdHHunFGSFkl6NJ03WdKeufzxko5O+1MktebyhkmaUhTDWEnPS1qv6DMu7+z6mpmZWdeRNFpSq6TWpUteqXY4Zma2jujUhrIkAbcBEyNiMLAj0BM4PxWZGhHNwG7AYZL2yp1+U0Tsls67ALhN0kfLfNTmkg4uE8N6wEhgIdnQLjMzM6usx4DmogfW6wHNKW8O2dDs1YqIcRExLCKGde+1WZcEa2ZmVqyze5QPAJZFxDXw/jCrU4EvAT0KhSJiKdnwq61LXSQi7gPGAaPLfM5FwPfL5A0nuwFfCbSscQ3MzMxsrUTE08CjwDm55HOA6SnvemBPSYcWMiXtK2lIZSM1MzMrrbMbyrtQ9M5RRCwBngV2KKRJ6gsMBv7UxrWmAzuVyXsAeEfS/iXyWoAbgAnAoZI2bHf0ZmZm1hE9JD2X204DTgJ2TK9hzSMbZXYSvP/A/DDgm+mVq8eArwOLqlUBMzOzvErPer2PpJlkjeSxEdHWtNJazbXOI3s6fdb7J0jdgEOA0yLiDUkPAQcBd7UnOEmjSb3YfQeU7Ow2MzOzIhFR7sH7CW2c8wQwomsiMjMzWzud3aP8GEXvHEnqBXwYeJrsHeVdyXqeT5LU3Ma1dgMeL5cZEfcC3YE9cskHAX2A2ZIWAHuzBsOv8+9BbdKrX3tPMzMzMzMzswbS2T3K9wAXSDoxIq6VtD4wBhgPvF0oFBHzJV1A1hu8SkNW0n5kPbulhlbnnQdcBTyTjluAL0fEDek6mwDzJfUoc76ZmZnViW36dOPSkdtUOwwzM1sHdGqPckQE2YzTx0iaCzwFLAPOLlH8KmBfSU3p+Ni0dNRTqfxREVG2Rzl93iTS+0ypMTwCuDuX/xZwP3B4ShpV9A7VwI7V1MzMzMzMzBpVp7+jHBELWdkwzZuStkK5payc9Xp82spdc1Ruf3hRXn6o9yrrRkTEkbnDsp9hZmZmZmZmBpWfzMvMzMysQ15/9V1+e9PLbZY5+Nj+FYrGzMwamRvKZWzRZ0NOG7lltcMwMzMzMzOzCuvsWa/NzMzMzMzM6pobymZmZtYpJK1IE3MWtqaUfoqkZZJ6F5U/WFKrpMckPSppTDXiNjMzK+ah12W88cq7TPn1IgCGnzCgytGYmZnVhaUR0VwivQV4BDgSuAZA0hDgcuDQiHgiLSk5umKRmpmZtcE9ymZmZtZlJA0CegLnkDWYC84Ezo+IJwAiYkVEXFmFEM3MzFZR8YaypJD069zxBpIWSborl3aEpFmSHpc0W9IRubzxkp6XtFE67i9pQdpvkrS0aNjXiZKuk/S13DU+ma6/YUUqbWZmtm7onrv/TkhpxwE3AlOBj0jaIqUPAaZVI0gzM7PVqcbQ67eAIZK6p7WUDwSeL2RK2hW4GDgwIuZL2g74g6RnImJWKrYC+BJQ6snzvOJhX5ImAw9IugVYTDbU6+sRsbyzK2dmZrYOKzX0ugUYGRHvSboVOIbsPtwukkaThmRv3n9gpwVqZmbWlmoNvZ4EHJr2W4AbcnmnAz+MiPkA6d8fAWfkyowFTpXUroZ+RLxI1vi+EPgqMCuGIjcUAAAgAElEQVQi7l+rGpiZmVmbJH0MGEz2wHsBWe9yYfj1HGDo6q4REeMiYlhEDOvVq1+XxWpmZpZXrYbyjcBxkjYGPg48lMvbhVWHYrWm9IJngfuBfytx7UFFQ6/3SelXATuTNbjP7IQ6mJmZWdtagHMjoiltWwFbSdoWuAg4W9KOAJLWk/TVagZrZmZWUJVZryNiVloyooWsd7kjfgTcDtxdlL7K0Ov0me9J+hkwLCIWl7pgfnjXFv08vMvMzGwtHQccUpQ2ATguIv5H0inADZJ6AAHcVXwBMzOzaqjm8lB3kA2HHg7kx1I9RjYUa2YubSjZEK33RcRcSTOAz6/BZ76XtpIiYhwwDuAj2zfHGlzXzMxsnRcRPYuOty9R5rTc/l24cWxmZjWomg3lq4HXImK2pOG59IuB30i6NyIWpJ7ns4GjS1zjfFbtUTYzMzMzMzPrsKo1lCPiOeDSEukzJJ0F3JmWb1oOnBkRM0qUnSNpOrB7LnlQ6mkuuDoiVvkcMzMzqy+9+27Awcf2r3YYZma2Dqh4Q7l4WFZKmwJMyR3fBtxW5vxRRcdH5vYXAN3b+OzxwPg1idfMzMzMzMzWLdUcel3TNt1sA4afMKDaYZiZmZmZmVmFVWt5KDMzM7M18s6Ly1kw9gUWjH2h2qGYmVmDc0PZzMzMzMzMLMcN5TKWv7Ccf1z4j2qHYWZmZmZmZhXmhrKZmdk6TlJI+nXueANJiyTdlUs7QtIsSY9Lmi3piFzeeEnPS9ooHfeXtCDtN0laKmlGbjtR0nWSvpa7xifT9TesSKXNzMza0OHJvCQNBK4AdgbWByYB3wFagGERcXKu7BTg9IhoTcfNwKPAwRHxu1y5AH4cEd9Jx6cDPcmWiDomFfsYMDvtXw1sBrwJbAfsBXRL+0+mMteleI5N1+yVPvvAiHimo/U3MzNrIG8BQyR1j4ilwIHA84VMSbsCF5PdO+dL2g74g6RnImJWKrYC+BJwZYnrz4uI5nyCpMnAA5JuARYDlwNfj4jlnV05MzOzNdWhHmVJIlu+aWJEDAYGky3LdGE7L9EC3J/+zfsncKSkDyySGBHnR0RzuskuLezn10eOiG+k/ENIN+R0fDGwjaTPpKI/IFtb2Y1kMzOzlSYBh6b9FuCGXN7pwA8jYj5A+vdHwBm5MmOBUyW16yF8RLxIdo++EPgqMCsi7l+rGpiZmXWSjg69PgBYFhHXAETECuBU4ESyHuCyUiP7GGAUcKCkjXPZ7wLj0rU6RUQE2Q14rKRhwKeBizrr+mZmZg3iRuC4dF/+OPBQLm8XYFpR+daUXvAs2UPwfytx7UFFQ6/3SelXkY1MOwM4s1RQkkZLapXUuvitxWtcKTMzs47oaEN5lRtmRCwBFrD64dx7AvMjYh4whZVPrwuuAI6X1LuDsa0iDQubDNwDfDMi3umsa5uZmTWCdK9sIutNntTByxR6mYu/X8zLjQZrjoip6TPfA34G/DYiSraCI2JcRAyLiGH9NunXwbDMzMzWTFdM5lWugRvp3xayp9akfz8w/Do1uK8FvtXJcV0BPB8RU8oV8FNrMzNbx91BNhz6hqL0x4ChRWlDgTn5hIiYC8wAPr8Gn/le2szMzGpGRxvKq9ww0yRZWwLTgb5F5TcDXpa0PnAU8J9pNszLgBGSNi0qPxY4Cdikg/GVstobsZ9am5nZOu5q4L8jYnZR+sXA9yQ1QTaTNXA2MKbENc4ne6fZzMysbnW0oXwP0EPSiQCpATyGbMbKh4G9JG2Z8oYBGwELyd4PnhUR20REU0RsC9wKjMxfPCJeAW4mayybmZlZBUTEc/mJMnPpM4CzgDslPQHcCZyZ0ovLziF7aJ5X/I5yZ48aMzMz61QdWh4qIkLSSOAKSf8BDABuiojzASR9G5gkaT2ypZtaIuI9SS3AhKLL3Qp8jWy4dd4Y4GTMzMysS0XEKhNxpleVpuSObyNb8aLU+aOKjo/M7S8gWxmj3GePB8avSbxmZmZdrcPrKEfEQuCzAJL2BG6QtHtETI+I24HbS5zzxRJpd5C9E/WBG3VaNqJHifI9i47PLTpeAAwpcV7JdDMzMzMzM7O8DjeU8yLiL8C2nXEtMzMzs1K6bbEhTadsWe0wzMxsHdAVs143hA233JAPnfmhaodhZmZmZmZmFeaGspmZmZmZmVmOG8pmZmZWF5a/9Fa1QzAzs3WEG8plLH/pzWqHYGZmZmZmZlXQKZN5mZmZWfVJGghcAewMrA9MAr4DtADDIuLkXNkpwOkR0ZqOm4FHgYMj4ne5cgH8OCK+k45PB3oCy4FjUrGPAbPT/tXAZmTLQ24H7AV0S/tPpjLXpXiOTdfslT77wIh4ppN+HGZmZh1WNz3Kksp28UoaK+n5tG4zkr4taWwu/2eS/pg7/qakS7s2YjMzs8qRJLJ1jidGxGBgMNn6xRe28xItwP3p37x/AkdK6p9PjIjzI6I5IpqBpYX9iLg0V+YbKf8QYF6u/MXANpI+k4r+ALjajWQzM6sVddNQLic1jkcCC4H9UvKfgT1zxXYFektaPx3vCfylYkGamZl1vQOAZRFxDUBErABOBU4k6wEuKzWyjwFGAQdK2jiX/S4wLl2rU0REAF8FxkoaBnwauKizrm9mZra26r6hDAwH5gBXsvIp+AxgR0ndJfUGlqa0j6X8Pcka02ZmZo1iF2BaPiEilgALWP2rVnsC8yNiHjAFOLQo/wrg+HRP7RQRMQuYDNwDfDMi3umsa5uZma2tRmgotwA3ABOAQyVtGBHvkr3r9C/AHsBDwIPAnpK2BhQRC6sVsJmZWYWVa+BG+rcFuDHt30jR8OvU4L4W+FYnx3UF8HxETClXQNJoSa2SWl9589VO/ngzM7PS6rqhLKkb2XtPE9NN/CHgoJT9F7In5HsCD6StcFxy2PUHb8avdXX4ZmZmnekxYGg+IU2StSUwHehbVH4z4OX0WtJRwH9KWgBcBoyQtGlR+bHAScAmnRjze2krKyLGRcSwiBi2Wc/iKpiZmXWNum4okzWK+wCz0819b1Y+BS+8p/wpskby42SzgJZtKH/wZtyni0M3MzPrVPcAPSSdCJAawGOAy4GHgb0kbZnyhgEbkc3v8WlgVkRsExFNEbEtcCvZ/B/vi4hXgJvJGstmZmYNrd4byi3Al9ONvYls6YkDJfUgaxzvAQyIiJfSxCGLgM/h95PNzKzBpPvcSOBoSXOBxcB7aXbqF4FvA5MkzSDrHW6JiPfI7qUTii53K6vOfg1Zw7t/iXQzM7OGUk/rKPeQ9Fzu+KfACLJZMwGIiLck3Q8cHhE3SVpENtFXwQNk6znOrETAZmZmlZTm3/gsgKQ9gRsk7R4R0yPiduD2Eud8sUTaHcAdab9nLv1FoEeJ8j2Ljs8tOl4ADClxXsl0MzOzaqubhnJElOr9/mGJckfm9ncpyjsXOLezYzMzM6s1EfEXYNtqx2FmZlaP6n3otZmZma0jNty8M+cRMzMzK88N5TI23Lzn6guZmZmZmZlZw1E294cVk/QG8GS14+gk/YGXqx1EJ2iUekDj1KVR6gGNU5dGqQc0Tl0K9dg2IgZUO5h61mD35lrSKH9rtcQ/067hn2vnW9d/pmXvzXXzjnIVPBkRw6odRGeQ1NoIdWmUekDj1KVR6gGNU5dGqQc0Tl0apR41omHuzbXEv6Odzz/TruGfa+fzz7Q8D702MzMzMzMzy3FD2czMzMzMzCzHDeXyxlU7gE7UKHVplHpA49SlUeoBjVOXRqkHNE5dGqUetcA/y67hn2vn88+0a/jn2vn8My3Dk3mZmZmZmZmZ5bhH2czMzMzMzCzHDeUSJI2Q9KSkpyV9t9rxtEXS1ZJekvTXXNpmkv4gaW76t29Kl6RLU71mSdq9epGvStI2ku6T9JikOZK+ndLrqj6SNpb0sKSZqR7/ndK3k/RQivcmSd1S+kbp+OmU31TN+ItJWl/So5LuSsf1Wo8FkmZLmiGpNaXV1e9WgaQ+km6R9ISkxyV9qt7qIukj6b9FYVsi6ZR6q0eBpFPT3/tfJd2Q/j9Ql38rtUp1dG+uJWqg7wm1RA3ynaWWqMG+P9USNch3uUpzQ7mIpPWBK4CDgZ2BFkk7VzeqNo0HRhSlfRe4JyIGA/ekY8jqNDhto4ErKxRje70LfCcidgb2AL6Rfvb1Vp9/AgdExK5AMzBC0h7A/wCXRMQOwKvASan8ScCrKf2SVK6WfBt4PHdcr/UA2D8imnPLINTb71bBT4DfRcROwK5k/33qqi4R8WT6b9EMDAXeBiZQZ/UAkLQ18C1gWEQMAdYHjqO+/1ZqSh3em2vJeBrne0ItaZTvLLWk0b4/1ZJG+i5XORHhLbcBnwIm546/B3yv2nGtJuYm4K+54yeBD6X9D5GtOwnwM6ClVLla3IDbgQPruT5AD2A68Emyxdw3KP49AyYDn0r7G6RyqnbsKZ6BZDf6A4C7ANVjPVJMC4D+RWl197sF9AbmF/9s67EuuZj+FfhzvdYD2BpYCGyWfvfvAg6q17+VWtyow3tzLW006PeEWtpogO8stbRR59+fammjgb7LVXpzj/KqCl94Cp5LafVki4j4R9p/Adgi7ddN3dJQj92Ah6jD+qQhLjOAl4A/APOA1yLi3VQkH+v79Uj5rwP9KhtxWWOBM4H30nE/6rMeAAH8XtI0SaNTWt39bgHbAYuAa9Iwqv+VtAn1WZeC44Ab0n7d1SMingcuBp4F/kH2uz+N+v1bqUU1+9+/TtXd31ktq/fvLLWkgb4/1ZJG+i5XUW4oN7jIHgnV1dTmknoCtwKnRMSSfF691CciVkQ2pHQg8AlgpyqHtMYkHQa8FBHTqh1LJ9k7InYnG/72DUn75jPr5XeL7Anv7sCVEbEb8BYrh/YBdVUX0ntRnwV+U5xXL/VI7yB+juwhxlbAJqw61NWsJtXL31mtaoTvLLWkEb4/1ZIG/C5XUW4or+p5YJvc8cCUVk9elPQhgPTvSym95usmaUOyG851EXFbSq7b+kTEa8B9ZMNa+kjaIGXlY32/Him/N7C4wqGWshfwWUkLgBvJhuz8hPqrB/B+rx8R8RLZu7CfoD5/t54DnouIh9LxLWQN53qsC2QPLqZHxIvpuB7r8RlgfkQsiojlwG1kfz91+bdSo2r5v389qse/s5rTaN9Zakmdf3+qJQ31Xa7S3FBe1SPA4DQbXDeyIYF3VDmmNXUH8IW0/wWy92YK6SemmRf3AF7PDQ+qOkkCfgE8HhE/zmXVVX0kDZDUJ+13J3tn6XGy/+EfnYoV16NQv6OBe9NT6KqKiO9FxMCIaCL7O7g3Io6nzuoBIGkTSZsW9sneif0rdfa7BRARLwALJX0kJX0aeIw6rEvSwsph11Cf9XgW2ENSj/T/scJ/k7r7W6lhjXBvriX1+HdWUxrlO0staZTvT7Wkkb7LVUW1X5KuxQ04BHiK7L2I71c7ntXEegPZO3HLyXqaTiJ7l+AeYC7wR2CzVFZks4bOA2aTzdBa9Trk6rI32RClWcCMtB1Sb/UBPg48murxV+A/U/r2wMPA02TDTDdK6Run46dT/vbVrkOJOg0H7qrXeqSYZ6ZtTuHvut5+t3L1aQZa0+/YRKBvPdaFbIjyYqB3Lq3u6pHi+2/gifQ3/ytgo3r8W6nljTq6N9fSRgN9T6iljQb5zlJLGw34/amWNur8u1w1NqUfipmZmZmZmZnhoddmZmZmZmZm/z97dx7vVVXvf/z1dkoQQRSHUPMoYiqWR+GWGSqY/cTUFMWU9CqlkaZWlkOp3Wtdp1TKHNJLg2g55jyVVsoVFYcDgoSzQik5T4iiIH5+f6z1lc2X7/cMnOF7zuH9fDy+D/de01773O5jsfaaluCOspmZmZmZmVmBO8pmZmZmZmZmBe4om5mZmZmZmRW4o2xmZmZmZmZW4I6ymZmZmZmZWYE7ymbdkKRhkl6odT0aI2mmpGG1rkdjJE2QdGqt62FmZl1fU22KpJC0aTs9e7akXdqyHEknSvpt62tn1jm5o2zWDiQNlXS/pLclvSHpPkn/Uet6FUn6nKTbJb2V6/iQpG+007OW+sdBRAyKiImtLPd/JV1UuF9Z0rtVwrZrzbPMzMyqkTRR0puSPtEGZf1Z0rz8WyhpQeH+4kbyRW7v5kmaI+kXklZsbX2qiYjTI+KwptLlv02T6cw6G3eUzdqYpN7ArcD5wJrA+sBPgQ/a+DkrtSLvF4C7gP8DNgXWAo4AdmvrZ7Wze4AdC/dDgH8BO5SFAUxpScHt+Y8LMzPrPiTVkdqdAL7a2vIiYreI6BURvYDLgbNK9xFxeBPZt875vgR8HfhWa+tjtrxyR9ms7W0GEBFXRsSiiJgfEXdGxKMAkr4p6fH85fkOSRuVMkr6laTnJc2VNEXSDoW4UyRdK+mPkuYCYyStKekSSf/O5d1YrIikH0p6RdKLZaPFZwOXRsTPI+K1SKZExNdyvmGSXpB0gqSXgEskrSDpR5KelfS6pGskrVl41p8kvZRH0e+RNCiHjwUOBI7PX7lvyeGzJe0iqb+k+WVlbSPpNUkrN/E3uwfYQlK/fL8DcBWwWlnY5IhYKGmL/GX7rTz1+6uFZ06QdFEeZX8XGF72t1xd0t2SzpOkpv9nYGZmy4mDgQeACcAhpcDclk2V9I6kq4FVi5kkHZfb539L+mZzHiTpW5KeyTPBbpbUv1K6iHgCmARsVaGMz0manNvCFyVdIGmVHHehpHFl6W+WdEyFck6R9Md8vWr+98nrudyHJa0r6TRSO3xB/jfABc15T7POwB1ls7b3FLBI0qWSdpPUtxQhaS/gRGAfYG1SI3ZlIe/DQD1pJPoK4E+Sig3rXsC1wBqkr8x/AHoCg4B1gF8W0q4H9CGNaB8KXCipr6SewBdyOY1ZL9djI2AscDSwN7AT0B94E7iwkP7PwMBcj6m5fkTEeJb8Ir5n8SER8W9gMrBvIfjrwLW5c1v1bxYRzwP/ZPEI8o45/v6ysHtyp/sW4M5cx6OByyV9uuy5pwGrA/eWAiWtBfwduC8ivhsR0cTfzszMlh8Hk9q5y4FdcwdxFeBGUju9JvAnCu2cpBHAscCXSW1nk+uHJe0MnAF8Dfgkqf27qkraLUnt4CMVohcBxwD9SP8e+BLwnRx3KTBa0gq5nH65blc0Ub1DSP/m2JA0S+1wYH5EnERql4/K/wY4qqn3NOss3FE2a2MRMRcYSpqC9Rvg1fw1dl1Sw3FGRDweER8CpwP1pRHSiPhjRLweER9GxDjgE0CxIzc5Im6MiI9IneXdgMMj4s2IWBgR/1dIuxD4WQ6/HZiXy+pL+v/9F5t4lY+A/46IDyJifq77SRHxQkR8AJwCjFKelh0Rv4+IdwpxW0vq08w/2xXAaIA8WnsAixvlRv9mpOnjO+ZG/XOkr/qTCmFfzGm2A3oBZ0bEgoi4izRFfnShHjdFxH0R8VFEvJ/D+uf8f4qIk5v5PmZmthyQNJT0QfmaiJgCPEv66LodsDJwbm6HryV9DC/5GnBJRPwjIt4ltZtNORD4fURMzW3tj4EvKE39Lpkq6U3Sh+HfApeUF5JnkD2Q/60xG/hf0kdwIuIh4G1S5xlSezwxIl5uom4LSR3kTfNsuin530NmXZY7ymbtIHfqxkTEBqRpT/2Bc0mN6a/ytKS3gDcAkUZ9kXRsnmL8do7vQ/riW/J84XpD4I2IeLNKNV7PHcuS90gdxTdJneBPNvEarxY6i+S631Co++Okr9LrSlpR0pl5WvZcYHbO04/muY7U2H+SNAL8EamzW3pu1b8Zi9cpfwZ4LiLeI40Gl8J6AA+S/m/wfP7IUPLPQjmw5N+3ZPdcRtUNVMzMbLl1CHBnRLyW76/IYf2BOWUzkP5ZuO7Pkm1OMa6a/sV0ETEPeJ0l27FtI6JvRAyIiJPL2jwAJG0m6da8XGou6QN0sb2+FDgoXx9EGhVvyh+AO4Cr8lTys0rLp8y6KneUzdpZXic0gdRhfh74dkSsUfj1iIj7ldYjH0/6ytw3ItYgfdUtroctNrjPA2tKWqOF9XmPpac6V0xadv88sFtZ3VeNiDmkr+d7kaZn9QHqch5VKau8Tm+SpkTvn8u6qvCPi6p/sxx/D7A1qUNb6lzPJH1I2B14OHf4/w1sWJpOln0KmNPIO0OaFfAX4HZJqzX2HmZmtvyQ1IPUZu+UO50vkaY0b02atbV+2Z4Wnypcv0hqpyrFVfNv0sfj0vNXI43izqmao7KLgCeAgRHRm7S8qVjPPwJ7Sdoa2II0hbxRedT8pxGxJbA9sAdpSjo08W8As87KHWWzNiZpc6VNtDbI9xuSpvc+QBqV/LEWb3TVR9J+OevqwIfAq8BKkv4L6F3tORHxImld8K/z2uOVJe1YLX2Z40mbgR2X198iaWtJFdc6ZRcDp5WmPEtaO68fLtX9A9KX7Z6kr9NFLwObNFGnK0iN6iiWXAvV2N+MiHgml/89ckc5d7IfzGH35KQPkkbVj89/q2HAnlRZ31XmKOBJ4Jb8DyMzM7O9STOrtiTtL1JP6lhOynEfAt/Nbc4+pOVBJdeQ2uEt894h/92M510JfENSvdIxVKcDD+bp0y2xOjAXmCdpc9KpFx+LiBdI08T/AFyXl181StJwSZ9ROjFiLmkqdmk0uzn/BjDrdNxRNmt77wCfBx5U2j35AeAfwA8j4gbg56SpSXNzeOlIpjtII5dPkaZWvU/lqcBF/0lqjJ4AXgG+35wK5tHYnfPvOUlvAOOB2xvJ9ivgZuBOSe/k9/p8jrss13kO8FiOK/odsGWePl3ty/TNpA1NXoqI6YW6NvY3K7mHtNHXfYWwSaRNu+7J5SwgdYx3A14Dfg0cnEf8G5U73mOBF4CbyjZYMzOz5dMhpHXG/4qIl0o/4ALSB/J9gDGkJUP7A9eXMkbEn0lLsu4Cnsn/bVRE/A34CWm50ovAANIa4pY6ljR76x3SrKmrK6S5lLR8qTnTriFtAHotqZP8OGlvj1LeX5H2NHlT0nnLUF+zmpA3bzUzMzMzs5I8Q+2PwEY+6cGWVx5RNjMzMzMzAPImXN8DfutOsi3P3FE2MzMzMzMkbQG8RToZ49waV8espjz12szMzMzMzKzAI8pmZmZmZmZmBe4om5mZmZmZmRWsVOsKdFb9+vWLurq6WlfDzMy6iSlTprwWEWvXuh5dmdtmMzNrS421ze4oV7HBar3586HNOpLWzMy6qbWPOKjNypL0zzYrbDnlttnMzDqqbfbUazMzs+WMpEWSpkn6h6Q/SepZFl76/SiHT5T0pKTpkh6WVF8o65uSZkh6NJe3Vw6XpJMlPS3pKUl3SxpUyDdb0nWF+1GSJnTYH8HMzKwRy9xRlrSepKskPStpiqTbJW2W474v6X1JfQrph0l6Oze8T0g6pxA3RtKrkh7JDeodkrYvxE+QNCpfT5TUUIgbImliWd3OlTRH0gplz7hgWd/XzMysG5kfEfURsRWwADi8LLz0O7OQ58CI2Br4NXA2gKQNgJOAoRHxWWA74NGc/khge2DriNgMOAO4WdKqhTIHS9qyvV7SzMxsWS1TR1mSgBuAiRExICIGAz8G1s1JRgMPA/uUZZ0UEfXANsAekr5YiLs6IraJiIHAmcD1+Sy3StaRtFuVuq0AjASeB3ZahtczMzNbnkwCNm1B+snA+vl6HeAdYB5ARMyLiFk57gTgqIh4L8fdCdwPHFgoaxypo21mZtapLOuI8nBgYURcXAqIiOkRMUnSAKAXcDKpw7yUiJgPTGNxQ1sefzcwHhhb5flnU71hHQbMBC6q9nwzMzMDSSsBuwEzclCPsqnX+1fINgK4MV9PB14GZkm6RNKeudzewGoR8VxZ3gZgUOH+GmBbSS3pqJuZmbW7Zd3MaytgSpW4A4CrSF+oPy1p3Yh4uZhAUl9gIHBPI8+YCny7StxkYKSk4aQv2UWjgSuBm4DTJa0cEQsbexkzM7PlTA9J0/L1JOB3+Xp+nvlVyeWSViF9DK8HiIhFkkYA/wF8CfilpMHAL5pZj0Wkj98/Bv5cKYGkseQP5xusuVYzizUzM2ud9tjMazRwVUR8BFwH7FeI20HSdGAOcEdEvNRIOWriOaeSRq0XZ0gN+FeAGyNiLvAgsGtzKy5prKQGSQ2vz5vb3GxmZmZdTXEt8tERsaAZeQ4ENgEuBc4vBUbyUEScQfpYvm9ug9+VtElZGYNJs76K/gDsCGxY6aERMT4ihkTEkLV69W7e25mZmbXSsnaUZ5IauyVI+gxppPivkmaTGszi9OdJeSOQQcChxV0zK9gGeLxaZETcBfQgbRxSsiuwBjAjP38oLZh+7cbYzMysuogI4CfAdpI2l9Rf0raFJPVA6aiNs4HzJPUAkLQLqV2+oqzMhcAvgWPau/5mZmbNtawd5buAT+TpUABI+ixwHnBKRNTlX3+gv6SNipnzRh9nkjb6WIqknUjTrH7TRD1OBY4v3I8GDis9H9gY+HLp2AszMzNrVPka5TPLE+R9RsYBxwErA+fk0yymAfsD38tJzydt7DlD0pOkDvZeOX+537Hsy8HMzMza3DI1ShERkkYC50o6AXgfmE3aSOuIsuQ3kEaWHywLvxg4VlJdvt9f0lCgJzCLNHWr6ohyrsftkl4FyJ3hESw+4oKIeFfSvcCeOWiMpL0LRWwXES80+cJmZmbdSET0qhK+YpXwYWX34wq3O1fJE8BP869SfF3h+gOgf2N1NjMz60hK7ZiVq99ok/jrj35W62qYmVkNrX3EQW1WlqQpETGkzQpcDg0ZMiQaGhpqXQ0zM+smGmub22MzLzMzMzMzM7Muy+uBqlhp7TXbdCTBzMzMzMzMugZ3lM3MzKxLWPjK8/z7wh/Uuhpmbab/kc09ctzMOpqnXpuZmVmzSFqUd8OeKWm6pB9KWqEszY2SHsjXuxZ20J4n6cl8fZmkYZLeLttle5favJmZmdmSPKJcxYJXZvPCBd+sdYnjmZ8AACAASURBVDXMzJZLGxz1+1pXwSqbHxH1AJLWIZ2J3Bv47xy2BjAYmCdpk4i4A7gjx00Ejo2Ihnw/DJgUEXt09EuYmZk1xSPKZmZm1mIR8QowFjhKknLwPsAtwFWkoyHNzMy6pE7bUfb0LjMzs84tIp4DVgTWyUGjgSvzb3QzitihrG0e0E5VNTMza5HOPPXa07vMzMy6CEnrAgOBeyMiJC2UtFVE/KORbE22zZLGkkauWb/v6m1XYTMzs0Z02hHlIk/vMjMz63wkbQIsAl4Bvgb0BWZJmg3U0bxR5UZFxPiIGBIRQ9bq1aO1xZmZmTVLl+gog6d3mZmZdSaS1gYuBi6IiCC1xSMioi4i6kizvvwh28zMuqTOPPW6qo6Z3rVa21XYzMyse+ghaRqwMvAh8AfgF5LqgI2AB0oJI2JW3h/k8xHxYJXydsjllZwaEde2T9XNzMyar8t0lMumdx3F4uldkNYujwZOas0zImI8MB7gs5/qF60py8zMrLuJiBWrRM0G1q+QftvC9bCyuIlAn7arnZmZWdvpEh3l8uldkkrTuybn+I2Bv9HKjrKZmZl1XiuvsyH9j/xFrathZmbLgc7cUfb0LjMzMzMzM+twnbaj7OldZmZmVvTuq88webxPerTa+8LYW2tdBTNrZ522o1xrq6xTxwZH/b7W1TAzMzMzM7MO1mWOhzIzM7PGSVpP0lWSnpU0RdLtkjbLcd+X9L6kPoX0w/LSpWmSnpB0TiFujKRXJT0i6WlJd0javhA/QdKofD1RUkMhboikiWV1O1fSHEkrlD3jgnb5Y5iZmbWCO8pmZmbdgNIxEDcAEyNiQEQMBn4MrJuTjAYeBvYpyzopIuqBbYA9JH2xEHd1RGwTEQOBM4HrJW1RpQrrSNqtSt1WAEYCzwM7LcPrmZmZdShPva7indee5u7f7l7rapiZVTT8sNtqXQXrfIYDCyPi4lJAREwHkDQA6AV8h3RCxCXlmSNift70cql9QHL83ZLGA2OBYyokOTuX/ecKccOAmcDVpA773c1+KzMzsxrwiLKZmVn3sBUwpUrcAcBVwCTg05LWLU8gqS8wELinkWdMBTavEjcZWCBpeIW40cCVpBHv3SWt3Mgzyus1VlKDpIY35y1objYzM7NWafeOsqRFee3TPyT9SVLPsvDS70c5fKKkJyVNl/SwpPpCWd+UNEPSo7m8vXK4JJ2c11A9JeluSYMK+WZLuq5wP0rShPZ+dzMzs05iNHBVRHwEXAfsV4jbQdJ0YA5wR0S81Eg5auI5pwInL5FBWgX4CnBjRMwFHgR2bW7FI2J8RAyJiCF9e63S3GxmZmat0hFTr+fntU9Iuhw4HPhFMbyCAyOiQdI3SFO5vixpA9KUrm0j4m1JvYC1c/ojge2BrSPiPUn/D7hZ0qCIeD+nGSxpy4h4rH1e08zMrKZmAqPKAyV9hjRS/Ne0jJlVgFlAaROtSRGxh6SNgQckXRMR06o8Yxvg8WoViIi7JJ0KbFcI3hVYA5iRn98TmA/4fB0zM+u0Onrq9SRg0xakn8zitVLrAO8A8wAiYl5EzMpxJwBHRcR7Oe5O4H7gwEJZ40gdbTMzs+7oLuATksaWAiR9FjgPOCUi6vKvP9Bf0kbFzLlNPZPUpi5F0k6k9cm/aaIepwLHF+5HA4eVng9sTPoA3rNFb2dmZtaBOqyjLGklYDdgRg7qUTb1ev8K2UYAN+br6cDLwCxJl0jaM5fbG1gtIp4ry9sADCrcXwNsK6klHXUzM7MuISKCtLP0Lvl4qJnAGaSNtG4oS34Dad1yuYuBHSXV5fv9cxv9FHAisG9EVB1RzvW4HXgVIHeGRwC3FeLfBe4F9sxBYyS9UPht0MxXNjMzazcdMfW6R95FE9KI8u/ydWNTry/Pa5p6AfUAEbFI0gjgP4AvAb+UNJg0jbs5FpGmcf+Yyjtykr/CjwVYd81Vm1msmZlZ5xAR/wa+1ox0PyjcTiyEz2fxTK4J+VetjDGF62FlcYMLt2tWyFs8oqrqM8qttvamfGGsZ2ybmVn764gR5fkRUZ9/R0dEc7asPBDYBLgUOL8UGMlDEXEG6Uv4vnljkHclbVJWxmDSeq2iPwA7AhtWemhxw5A+q3vDEDMzMzMzs+VRpz0eKk8h+wmwnaTNJfWXtG0hST3wz3x9NnCepB4AknYBhgJXlJW5EPgllc9/NDMzMzMzM+uQqdfVFKdkA/wlIn5UTBAR8yWNA44DfgacI6k/8D5p/dPhOen5QF/SjpqLgJeAvfIUsnK/o+zoCjMzM+v83nztaa69ZEStq2E1NOobf6l1FcxsOdHuHeWI6FUlfMUq4cPK7scVbneukieAn+Zfpfi6wvUHQP/G6mxmZmZNyxtvXQhsSZqldivp4/b2wE2kY6hWBW6NiGML+UaQPoD3Jn38fhI4LiL+1aEvYGZmVkWnnXptZmZmnZfSocjXAzdGxEBgM9ImnKflJJPypp3bAHtI+mLOtxVpJtghEbF5TnM5UNfBr2BmZlZVLaded2qr9xvI8MNuazqhmZnZ8mln4P2IuAQ+Pp3iGNIo8t2lRHkZ1TQW76Z9AnB68ZipiLi546ptZmbWNI8om5mZ2bIYBEwpBuSTKP4FbFoKk9QXGAjcU8g3tYPqaGZmtkzcUTYzM7P2sIOk6cAc4I6IeKk8gaS1JE2T9JSkY5cuAiSNldQgqWHuvOacMGlmZtZ6nnpdxeuvP8WES/9frathZl3cmEPurHUVzNrLY8CoYoCk3sCngGdIa5T3kLQx8ICkayJiGjAT2BaYHhGvA/W5k1xt88/xwHiAAXV9ot3exszMrMAjymZmZrYs/g70lHQwgKQVgXHABOC9UqKImAWcSVqbDHAWcJKkLQpl9eyICpuZmTVXl+koS9pA0k2Snpb0rKRfSVpF0jBJb+epW09IOqcs3whJD+W4aZKulvSpWr2HmZlZd5CPZhwJ7CfpaeAp0lFPJ1ZIfjGwo6S6iJgBfA+4TNKTku4DtgCu6KCqm5mZNalLTL0uHEFxUUTslb9ajycdQXEbi6d39QAekXRDRNxXOILiq6XdNSV9lXQEhc9qNDMza4WIeB7Ys0LUxPwrpZvP4l2viYjbSO23mZlZp9QlOsr4CAozM7PlXt9+Axn1jb/UuhpmZrYc6CpTr30EhZmZmZmZmXWIrtJRbkqbH0HxzjsL27vOZmZmZmZm1gl1lanXHX4ExcYb9/YRFGZmZp3IK288zXmX71rranQr3z3wjlpXwcysU+oqI8o+gsLMzKwTk7SupCskPSdpiqTJkkaWnU7xuKT/zumL4aXfLrV+DzMzM+giHWUfQWFmZtZ55dMpbgTuiYhNImIwcACwQU4yKSLqgSHAQZK2LYYXfn/r+NqbmZktratMvfYRFGZmZp3XzsCCiLi4FBAR/wTOlzSsEPaupCmkjThf6fBampmZNVOXGFE2MzOzTq1Zp0xIWgvYjrSHCKTNOItTrwe0ZyXNzMyaq8uMKHe0tdbajDGH3FnrapiZmXU5ki4EhgILgONIHeJHgI+AMyNiZh5pnhQRezRR1lhgLEDftVZt13qbmZmVuKNsZmZmrTUT2Ld0ExFHSuoHNOSgJjvE1RRPpPjUJn18IoWZmXUId5SrmPPm05z0pxG1roaZtbHT9vtLratg1h3dBZwu6YiIuCiH+ZQJMzPrsrxG2czMzFoln06xN7CTpFmSHgIuZfFxjdWUr1Ee1e6VNTMza4YuOaIsaV3gl6QNQd4krYE6K1/fBMwCPgFcFRE/zeugSuElx/oYCjMzs7YRES+SjoSqZGKF9BOBPu1YJTMzs2XW5TrKhbMaL42Ir+ewjYCvkjrKkyJiD0mrAdMk3ZKzLvP6KDMzM6u9ddYcyHcPvKPW1TAzs+VAV5x6XfGsxog4v5goIt4FSmc1mpmZmZmZmTVLlxtRpuVnNf4PsDZ5HVQhyb4R8Wz7VNHMzMza2uy3nuYbN3ijzda4ZKQ3NDQza46uOKK8BEkXSpou6eEcVDqr8U7yWY05fFJE1Bd+S3WSJY2V1CCp4b25CzrqFczMzDo1SSFpXOH+WEmnFO7HSnoi/x6SNLQQN1HSk6W2WlJ9IW62pBmSHpV0p6T1OuylzMzMGtEVO8ozgW1LNxFxJPAl0qgxpA7xNhExuDg9uzkiYnxEDImIIT17r9J2NTYzM+vaPgD2yWcjL0HSHsC3gaERsTlwOHBFWaf3wIjYGvg1cHZZEcMj4rOkM5dPbJfam5mZtVBX7CjfBawq6YhCmM9qNDMzaz8fAuOBYyrEnQAcFxGvAUTEVNLRUEdWSDsZWL/KM+7B+4qYmVkn0eU6yj6r0czMrCYuBA6UVH6k0yDS5plFDTm83AjSyRWV7AHMaFUNzczM2khX3MzLZzWamZl1sIiYK+ky4LvA/BZmv1zSKkAvoL4s7m5Ji4BHgZPLM0oaC4wFWG3tVVtcbzMzs2XR5UaUzczMrGbOBQ4FViuEPQYMLks3mLSnSMmBwCakGWDnl6UdnjfZPDgi3ip/YHH/kFW9f4iZmXWQLjmi3BHW7zuQ0/bzEQpmZmYlEfGGpGtIneXf5+CzgJ9LGhERr+ddrccAny/LG5J+AjwrafOIeKIj625mZtYS7iibmZlZS4wDjirdRMTNktYH7pcUwDvAQXmZ1BIiYn4+Zuo4UmfbzMysU3JH2czMzBoVEb0K1y9TdtpERFwEXFQl77Cy+3GF67q2rKeZmVlbcUe5iqffmsNXbvRxjl3V7XufXusqmJlZG6tbYyCXjPSyKDMza3/ezMvMzMzMzMysoNN1lCVFXr9Uuj9W0imF+7GSnsi/hyQNLcRNlPSkpOmSHs4bipTiZkuaIelRSXdKWq/DXsrMzMzMzMy6jM449foDYB9JZ0TEa8UISXsA3waGRsRrkrYFbpT0uYh4KSc7MCIaJH0DOBv4cqGI4Tnf6cCJpLMgzczMrAt4+q0X+coNp9a6GhXdPnKpI6DNzKwL63QjysCHwHjgmApxJwDHlTrQETGVdCbjkRXSTgbWr/KMe4BNW19VMzOz5YuktSRNy7+XJM0p3L+X09TlGWKnFvL1k7RQ0gX5/pSyvNMkrVGr9zIzMyvqjB1lgAuBAyX1KQsfBEwpC2vI4eVGADdWKX8PYEaramhmZrYciojXI6I+IuqBi4FfFu4/KiSdBexeuN8PmFlW3Md58++t9q29mZlZ83TGqddExFxJl5GmRs9vYfbLJa0C9ALqy+LulrQIeBRYao6UpLHAWIBV1+7d4nqbmZnZx94DHpc0JCIagP2Ba4D+ta2WmZlZ0zrriDLAucChwGqFsMeAwWXpBrPkF+oDgU1IU7LPL0s7PH+xPrjSV+uIGB8RQyJiyCq9e5ZHm5mZWctcBRwgaUNgEfDvsvhjCtOu7+746pmZmVXWaTvKEfEG6cvzoYXgs4CfS1oLIO9qPQb4dVneAH4CbCdp8w6psJmZmZX7C2lTzQOAqyvEF6deD69UQD7tokFSw4K577ZnXc3MzD7WaTvK2TigX+kmIm4Gfg/cL+kJ4DfAQRHxYnnGiJif8x/XQXU1MzOzgohYQNpb5IfAtctYRmG212pNZzAzM2sDnW6NckT0Kly/DPQsi78IuKhK3mFl9+MK13VtWU8zMzNrlnHA/0XEG5JqXRczM7Nm6XQdZTMzM+s+ImImS+92XXKMpIMK93tHxOz2r5WZmVnj3FGuYuAa63P73qfXuhpmZmadVkScUnbfK/93NrBVhfQTgAmFvKeUpzEzM+sM3FE2MzOzLmHgGp/k9pFLne5oZmbW5jr7Zl5mZmZmZmZmHcojylU8/eZr7H7db2pdDSu4bd9v1boKZmZWQ6lt/m2jaW7b97AOqo2ZmXVnHlE2MzMzMzMzK+jUHWVJa0maln8vSZpTuH8vp6mTFJJOLeTrJ2mhpAvy/SlleadJWqNW72VmZtYdSVpU1tbW5fDvS3pfUp+y9LtJapD0mKRHJI2rVK6ZmVlH69RTryPidaAeUmcXmBcR5+T7eYWks4DdgdIOH/ux9FEUvyzlNTMzs3YxPyLqK4SPBh4G9gEuAZC0FXABsHtEPCFpRWBsh9XUzMysEZ16RLkF3gMelzQk3+8PXFPD+piZmRkgaQDQi/Qxe3Qh6njgtIh4AiAiFkXERTWoopmZ2VK6S0cZ4CrgAEkbAouAf5fFH1OYCnZ3pQIkjc1TwBoWzH2nvetrZmbW3fQotLU35LADSG30JODTktbN4VsBU5oq0G2zmZnVQqeeet1CfwH+B3gZuLpCfJNTryNiPDAeoM+AumjzGpqZmXVvlaZejwZGRsRHkq4jLY+6oLkFum02M7Na6DYjyhGxgPRl+ofAtTWujpmZ2XJP0meAgcBfJc0mjS6Xpl/PBAbXqGpmZmaN6jYd5WwccEJEvFHripiZmRmjgVMioi7/+gP9JW0EnA2cKGkzAEkrSDq8lpU1MzMr6VYd5YiYGRGXVokurlH++MgKMzMzazcHADeUhd0AHBARjwLfB66U9DjwD2CTDq6fmZlZRYrwcp9K+gyoi6FnnVTraljBbft+q9ZVMDNbZpKmRMSQplNaNUOGDImGhoZaV8PMzLqJxtrm7rSZV5sa2LefO2ZmZmZmZmbLoW419drMzMzMzMystTyibGZmZl3CM2++xZ7XXl81/pZR+3RgbczMrDtzR7mK1BiX7z/S8W4ZNbLWVTAzM2uUpHkR0assrA9wPrA9IOA+4OiIeDvHbwacSzo+6h3gmRz/ckfW3czMrBJPvTYzM7P28DvguYjYNCIGALOA3wJIWhW4DbgoIgZGxLbAr4G1a1ZbMzOzgjbvKEvaQNJNkp6W9KykX0laRdIwSW/no5mekHROIc8YSa9KeiTnu0PS9oX4CZJG5euJkhoKcUMkTSyrw7mS5khaoewZF7T1+5qZmdmSJG0KDAb+pxD8M2CIpAHA14HJEXFLKTIiJkbEPzq2pmZmZpW1aUdZkoDrgRsjYiCwGdALOC0nmRQR9cA2wB6SvljIfnVEbJPznQlcL2mLKo9aR9JuVeqwAjASeB7YqdUvZWZmZi21JTAtIhaVAvL1NGAQsBUwpUZ1MzMza1JbjyjvDLwfEZfAx43iMcA3gZ6lRBExn9RYrl+pkIi4GxgPjK3ynLOBaoccDwNmAhcBo1v8BmZmZtZpSBorqUFSw4K5b9e6OmZmtpxo647yIMq+EEfEXOBfwKalMEl9SZt33NNIWVOBzavETQYWSBpeIW40cCVwA7C7pJWbXXszMzNrC48B9WVLoFYA6nPcTNLU7CZFxPiIGBIRQ1bp3addKmtmZlauozfz2kHSdGAOcEdEvNRIWjVR1qnAyUtkkFYBvkKa+j0XeBDYtbmVW/Kr9dzmZjMzM7OCiHgGeIQl2+mTgak57gpge0m7lyIl7Shpq46tqZmZWWVt3VF+jLIvxJJ6A58iHfswKSK2Jo08HyqpvpGytgEerxYZEXcBPYDtCsG7AmsAMyTNBobSgunXS3617t3cbGZmZsu7npJeKPx+ABwKbJY39nyWtG/JofDxEqw9gKPzJp6PAd8BXq3VC5iZmRW19TnKfwfOlHRwRFwmaUVgHDABeK+UKCJmSToTOIEKHVlJO5HWJ1eaWl10KnAx8Fy+Hw0cFhFX5nJWA2ZJ6lklv5mZmbVSRFT78H5QI3meAEa0T43MzMxap007yhERkkYCv5b0E9KI9e3AicAXypJfDBwrqS7f7y9pKGnTr1nAvhFRdUQ5P+92Sa8C5M7wCODwQvy7ku4F9sxBYyTtXShiu4h4oeVvamZmZh1t075rcMuofWpdDTMzWw609YgyEfE8izumRRPzr5RuPot3vZ6Qf9XKHFO4HlYWV5zqvWaFvMUWteozzMzMzMzMzKDjN/MyMzMzMzMz69TafES5u0jTu0bWuhpmZmaWPfvmPEZed2/V+Bv2HdqBtTEzs+7MI8pmZmbdnKQNJN2Ud5h+VtKvJK0iaZiktyVNk/SEpHMKecZIelXSIznfHZK2L8RPkDQqX0+U1FCIGyJpYlkdzpU0p+xs5TGSLmjXlzczM1sG7iibmZl1Y5IEXA/cGBEDScc09QJOy0kmRUQ96VjGPSR9sZD96ojYJuc7E7he0hZVHrWOpN2q1GEFYCTwPLBTq1/KzMysnXnqdRXPvvku+173UKvKuG7fz7VRbczMzJbZzsD7EXEJQEQsknQM6YSJu0uJImK+pGks3mhzCRFxt6TxpOMbj6mQ5GzgJODPFeKGATOBq0lHOd5dIY2ZmVmn4RFlMzOz7m0QMKUYEBFzgX8Bm5bCJPUFBgL3NFLWVGDzKnGTgQWShleIGw1cCdwA7C5p5WbX3szMrAaa7ChLmtdIXLX1Rh9J+mwh7B+l85Il9ZJ0UV4jNVXSFEnfynHDJN1a9oyP10Dl+36SFko6vCzdupKukPRcLnNyPtO5VG5pDVbpt0tT725mZrYc2EHSdGAOcEdEvNRIWjVR1qnAyUtkkFYBvkKa+j0XeBDYtbmVkzRWUoOkhg/mvtXcbGZmZq2yzCPKTaw3eoE0/aqS3wJvAgMjYltgBBXOP27EfsADpK/TpboIuBG4JyI2yWcrHwBsUMg3KSLqC7+/teCZZmZmXdVjwOBigKTewKeAZ0jt49akkedDJdU3UtY2wOPVIiPiLqAHsF0heFdgDWCGpNnAUApteFMiYnxEDImIIZ/ovUZzs5mZmbVKa6ZeDyOtN7qIpRu8W4FBkj5dDJQ0APgccHJEfAQQEa9GxM9b8NzRwA+B9SWVOsI7Awsi4uJSooj4Z0Sc34JyzczMuqO/Az0lHQwgaUVgHDABeK+UKCJmkTbsOqFSIZJ2Iq1P/k0TzzsVOL5wPxo4LCLqIqIO2Bj4sqSey/IyZmZmHaE1HeXG1ht9BJwFnFiWZxAwvdRJbilJGwKfjIiHgGuA/QvlTm0i+w5lU68HVCjf07vMzKxbiYggzQDbT9LTwFPA+yzdRgNcDOxYWi4F7J/bzKdy+n0jouqIcn7e7cCrALkzPAK4rRD/LnAvsGcOGiPphcJvg/IyzczMOtoy7XpdWG/0g4h4R1JpvVFxffEVwEmSNm6knJNIU6nXiYj+QFRJWgrfn9RBBrgK+D3pq3h5uReSpnYtiIj/yMGTImKPxt4rIsYD4wH6DtiiWl3MzMy6lIh4nsUd06KJ+VdKN5/Fu15PyL9qZY4pXA8riytO9V5qeVVE7FO4rfoMMzOzWlnW46GK640AegLzKXSUI+JDSeNYcgrXY8DWklaIiI8i4jTgtMKGYa8DfcuetSbwWr4eDawn6cB831/SQNIU8H0Lzz5SUj+gYRnfz8zMzDqZAX17ccO+Q2tdDTMzWw4s69Tr5q43mgDsAqwNEBHPkDqvp+Y1UkhalcW7aD5N6vxukeM2ArYGpknaDOgVEesXnntGrstdwKqSjig822ufzMzMzMzMrMWaM6LcU9ILhftfk9YbfXw8U0S8K6m43qgUvkDSecCvCsGHAWcDz0h6nTQSfXxO/4Gkg4BLcgd6IalD/rak75PWQxddB1wdET+TtDfwS0nHk9ZGvcuSo9k7SJpWuD81Iq5txvubmZlZJ/D8Wwv47g3PV40/b+SGHVgbMzPrzprsKEdEpVHn0yukq7jeKCLOA84r3M8Fvt3I8+5jyWMlSuE/rRD2KLBFvn6RdCRUpTInAn2qPdPMzKw7kbQImEFq5x8HDomI98rCZwH/GRFv5TyDgPNJa5RXAC4jfVQOSWNIH7lfAHoBzwE/jYj7c96JwLER0ZDv64BbI2KrfP854BxgXdJO21OAR4Bv5SpvCTwJLAL+EhE/ao+/i5mZWXMt6xrlbm9A39W4bt/P1boaZmZmy2J+RNQDSLqcNAvsF2XhlwJHkvYK6QHcDBwREXfmpVTXAd8BLsxlXh0RR+W8w4HrJQ1vahdsSesCfwIOiIjJOWwUaZPNC/P9bGB4RLxWtSAzM7MO1JrjoczMzKzzmwRsWiF8Mot3uP46cF9E3AkQEe8BRwEVR3Yj4m7SKRFjm/H8I4FLS53knP/aiHi52W9gZmbWwdxRNjMz66YkrQTsRppuXQxfEfgSaRQZYBBpOvTHIuJZoJek3lWKnwps3oxqbFVetpmZWWfnqddVvPzWQn5xw0vNSvuDkeu1c23MzMxapEdhA8tJwO/KwtcnrV3+ayueocJ1VIivFNbyh0hjySPXq6+9fhOpzczM2oZHlM3MzLqf+RFRn39HR8SCYjiwEamje2QOfwwYXCxA0ibAvLwJZyXbkDrbAK8DfQtxawKl9cYzy8tuiYgYHxFDImJIj95rLmsxZmZmLdLlOsqS5lUI6yPpMknPSHo2X/cpxG8m6XZJT0uaKumavLmImZnZcievQf4u8MM8PftyYKikXQDy5l7nAWdVyi9pJ9Io729y0ETgIEmlUeZDgLvz9QXAIZI+X8i/j9thMzPrzLpcR7mK3wHPRcSmETGAdOTFbwHyecy3ARdFxMCI2JZ0FvTaNautmZlZjUXEI8CjwOiImA/sBZws6UnSmuaHSZ3ckv0lTZP0FHAisG9hx+vxwDvAdEnTSUdInZOf8zLp+MZzJD0p6XFg15zezMysU+rya5QlbUqa0rV/IfhnwDOSBgA7AZMj4pZSZD5X2czMrFuKiF7NCY+IPQvXM4BhVfJNACY08rwFpF2yq8VPBnZoJL6uWpyZmVktdPmOMrAlMC0iFpUCImJR3qxkEN5t08zMrFvYcI1VOG/khrWuhpmZLQe6y9TrNiFprKQGSQ3vzn291tUxMzMzMzOzGugOHeXHgHpJH79Lvq7Pcc3ebbO4s+Zqvddql8qamZmZmZlZ59blp15HxDOSHgFOJq1NJl9PzXFzgB9L2j0ibgOQtCPwRkT8oza1NjMzs5Z6680Puf7a15YI22dUvxrVxszMurOuOKLcU9ILhd8PgEOBzfLRUM8Cm+Uw8k6eewBHkHM3+AAAIABJREFU5+OhHgO+A7xaqxcwMzPrTCSFpD8W7leS9KqkWwthe0t6VNLjkmZI2rsQN0HSHEmfyPf9JM3O13WS5ucds0u/gyVdLumIQhmfz+Wv3CEvbWZm1oguN6IcEdU69wc1kucJYET71MjMzKzLexfYSlKP/IH5y8CcUqSkrUnHPX05ImZJ2hj4q6TnIuLRnGwR8E3gogrlPxsR9cUASXcAkyVdC7xOOorqOxGxsK1fzszMrKW64oiymZmZtb3bgd3z9WjgykLcscDpETELIP/3DOC4QppzgWMkNesjfD5f+RzgLOBw4NGIuLdVb2BmZtZGutyIckdZd42V+cHI9WpdDTMzs45yFfBfebr1Z4Hfs/js40GkTm1RA3Bk4f5fwL3AfwK3lKUdkI9tLDk6IiYBFwOHkM5vHtIG72BmZtYm3FE2MzMzIuJRSXWk0eTbl7GYM4CbgNvKwpeaep2f+ZGk/wWGRETFcxkljQXGAvTrt8EyVsvMzKxlPPXazMzMSm4mjRxfWRb+GEsftTiYdATjxyLiaWAa8LUWPPOj/KuoeHRjHx/daGZmHcQjylW888aHTPxj8zbGHnbQ2u1cGzMzsw7xe+CtiJghaVgh/BzgT5LuiojZeeT5RGBUhTJOY+kRZTMzsy7FHWUzMzMDICJeAM6rED5N0gnALfn4poXA8RExrULamZKmAtsWgsvXKP8+IpZ6jpmZWWfR6o6ypEXAjFzW48AhEfFeWfgs4D8j4q2cZxBwPrA+afr3ZcCpERGSxgBnAy8AvYDngJ9GxP0570Tg2IhoyPd1wK0RsVW+/xzpy/e6wHvAFOAR4Fu5ylsCT5KOsfhLRPyotX8DMzOzriwielUImwhMLNxfD1xfJf+Ysvt9CtezgR6NPHsCMKEl9TUzM2tvbTGiPL+0QYeky0lHPPyiLPxS0s6Yp0nqQVoDdURE3CmpJ3Ad8B3gwlzm1RFxVM47HLhe0vCIeLyxikhaF/gTcEBETM5ho4BJEXFhvp8NDI+I19rg3c3MzKyDrNF3JfYZ1a/W1TAzs+VAW2/mNQnYtEL4ZNLoMcDXgfsi4k6AiHgPOAqoOLIbEXcD48k7XjbhSODSUic55782n9VoZmZmZmZm1qQ2W6MsaSVgN+AvZeErAl8CfpeDBpGmQ38sIp6V1EtS7yrFTwW+3YxqbAVc2pJ6m5mZWdfw3msf8shvX1kibJvD1qlRbczMrDtrixHlHnmDjgbgXyzuEJfCXyKtF/5rK56hwnVUiK8U1vKHSGMlNUhqeHtuxeMczczMzMzMrJtri47y/Iioz7+jI2JBMRzYiNTRPTKHL3UWo6RNgHkRMbfKM7YhbRQG8DrQtxC3JlBabzyzvOyW8FmNZmbWlUnaQNJNkp6W9JykCyR9QtIYSReUpZ0oaUjhvl5SSBpRli4kjSvcHyvpFEknSZqWf4sK19/N8cdKujCHPSZpfiHNcZKuLpTZW9Kz+d8DZmZmNdfWa5SXktcgfxf4YZ6efTkwVNIuAHlzr/OAsyrll7QTaX3yb3LQROAgSaVR5kOAu/P1BcAhkj5fyL9P3uTLzMys28rt4vXAjRExEBhI2m26YvtawWjg3vzfog+AfSQtsYtWRJxW+lDOkh/NzyukOTLHfwV4tpD+HGDD0r8FgJ+Rjox6rkUvbWZm1k7avaMMEBGPAI8CoyNiPrAXcLKkJ0lHSD1M6uSW7J+/OD8FnAjsW9jxejzwDjBd0nTSEVLn5Oe8DBwAnCPpSUmPA7vm9GZmZt3ZzsD7EXEJQEQsAo4BDia1lVXlTvZ+wBjgy5JWLUR/SGp7j2mrikZEkE7JODePan+JdDSkmZlZp9Dqzbwqnb1YKTwi9ixczwCGVck3gUbOU8xTu49qJH4ysEMj8XXV4szMzLqwSptlzs3HIjbV3m8PzMqba04Edicd3VhyIfCopOaOTjcpIh6VdAfwd2CvwtKtJUgaSz75Yr01N2irx5uZmTWqzXa97m5WX3Mlhh20dq2rYWZm1hb6VAkvbYY5GrgqX19FGoX+uKOcO9yXkZZSzW/Del0I7BYRE6sliIjxpBFttqyrb5PNO83MzJrSIVOvzczMrN1V2iyzN7Ae6ZjFvmXp1wRey8c47gv8Vx59Ph8YIWn1svTnAocCq7VhnT/KPzMzs07FHWUzM7Pu4e9AT0kHA+QO8DjSHiAPAV+UtF6OGwJ8AnietD740YjYMCLqImIj0mjyyGLhEfEGcA2ps2xmZtateep1FQtfWsiLZ724VPgnj/9kDWpjZmbWuIgISSOBCyX9BFgbuDoiTgOQ9D3gdkkrAPNIG2x+JGk0cENZcdcBRwCXlYWPo5F9QszMzLoLd5TNzMy6iYh4HvgqgKTtgSslbRsRUyPiJuCmCnm+USHsZuDmfN2rEP4y0LNC+vINPE8pu58NbFUhX8Xwanr2W4ltDlunucnNzMyWWZeZei1pXiNx50qak7+SI+l7ks4txP+vpL8V7o+WdF6lsszMzLqDiLg/IjaKiKm1rouZmVlX02U6ytXkzvFI0jqrnXLwfaSjLkq2Bvrk9VrkuPs7rJJmZmZmZmbWZXT5jjLpPOaZwEWk4y0ApgGbSeohqQ/pKItpwGdy/PakzrSZmZl1EQtf/oCXznmm1tUwM7PlQHfoKI8GriRtRLK7pJUj4kPgEeA/gO2AB4EHgO0lrQ8or+MyMzPrclqyHCmHjZH0kaTPFsL+IakuX/eSdJGkZyVNlTRF0rdy3DBJt5Y9Y4KkUYX7fpIWSjq8LN26kq6Q9Fwuc3LecKxU7tuSphV+u7TuL2NmZtY2unRHWdIqwFeAGyNiLqlDvGuOvp80crw9MDn/SvcVp11LGiupQVLD6+++3t7VNzMza1NVliOVvACcVCXrb4E3gYERsS0wgnTOcnPtR/ogXZrZhSQBNwL3RMQmETEYOADYoJBvUkTUF35/w8zMrBPo0h1lUqd4DWCGpNnAUBY30qV1yl8gdZIfB7akkY5yRIyPiCERMWSt1dZq56qbmZm1uWEsvRyp5FZgkKRPFwMlDQA+B5wcER8BRMSrEfHzFjx3NPBDYH1JpY7wzsCCiLi4lCgi/hkR57egXDMzs5ro6h3l0cBhEVEXEXXAxsCXJfUkdY63A9aOiFciIoBXgb3w+mQzM+uellqOVIj7CDgLOLEszyBgeqmT3FKSNvz/7d15nB1Vnf//11sWWcIOgiwSBRQFJUhGGQXFbQRBERElA1/FZTI6uMCoqOjMMP5EHQUXRHGiIjijIIIgKoqOwogjLgmEHWRVQDbZwSAIn98ft1rKm75JOunu2/fm9Xw87iNV55yq+pxKJd2fe05VAY+vql8BJwGvbe13cU/c3rlr6vUWSxODJEnjbZAS5dWS3ND6HEpnatj3RhpU1f3Az4CXV9WddBLjS1r7OBd4HHDBJMYtSdKEW8ztSCO+DuyY5ImL2M8HmqT1901R9Wg6Uv5aOgkywIksPJI9st/PJbkgya9bxd1Tr68eZbtHb4u6745eYUuSNK5W7HcAS6qqRkvqPzJKu1e1lrfpqjsMOGy8Y5MkaQpo344EsBqdtz785UFcVfXnJEcC721tdymwXZLHVNUjVXU4cHjrgWG3A+t0HWtd4A/N8ixgoyT7NesbJ9mKzhfVe7eOfWCS9YG5Y+lUVc0B5gBst9nTeyXtkiSNq0EaUZYkSb0t6naktuOAFwMbAFTVVXSS1w8nWQEgySpAmvZX0kl+n9rUbQ5sB8xP8mRgWlVt0jruR5tYfgKskuStrWN3xyJJ0pQ0MCPKk22ljVbi8Yc8vt9hSJI0mtWS3NBa/zyd25H+8nqmqro/yc+Al7c3rKoHkxwFfKZV/GbgE8BVSW6nMxJ9SNP+T0n2B77SJNAP0UnI705yEJ37odtOAb5RVR9K8krgU0kOoXM71P389Wj2zknmt9Y/XFUnj+1USJI0/tJ5xpW6zZw5s+bOHdPsMEmSekoyr6pm9juOQbbdZk+vM995Khu9e8t+hyJJGgKL+tns1GtJkjQQVtrwsSbJkqRJ4dTrHh669T5uOepnC5Vv+I6d+hCNJEmSJGmyOKIsSZIkSVLLwCbKSR5u3vM48pnelB+U5IEka3W13615D+OlSc5vXo8hSZIGxEO33sstR53d7zAkScuBgU2UgQVVNaP1ua4pnwX8GvjL+5STbAscDexfVU8DZgJXTXbAkiRNttYXyxcn+ebI66JG+cL5fU352UmuSHJBkl8nmdHa16hfOic5LMmNXftbO8kuSSrJy1v7+G5TfmrT7qokd7e2e85knyNJkroNcqK8kCRbANOAD9JJmEccAhxeVZcDVNXDVXVMH0KUJGmyjXyxvC3wII++Qqr7C+ePtbbZr6q2o/PaqU/AEn3p/Kmu/d3VlN8AfKA7qKraq6pm0Hk11Tmt7X4+jn2XJGmpDHKivGrr2+eRdzjuC5wInAM8JcmGTfm2wLx+BClJ0hRyDjCWx0afC2zSLC/tl84XAHcnecmYIpUkqY8GOVFufxO+V1M2Czixqh4BTgH2GcsOk8xuppTNveO+uxa/gSRJAyLJisBuwEVN0apdU6VfO8pmuwKnNcuL+9L54Na+zuqqO5zObC9JkgbC0LweKsnTga2AHyUBWBm4ls40sUuAHeh8q91TVc0B5gBs94StayLjlSRpkqyaZH6zfA7w5WZ5QTP1eTRfS7IynduZerXp9qmqOmK0iqr6aRKSjPkdi0lmA7MBNl1nw8W0liRpfAzyiHK3WcBhVTW9+WwMbJxkczr3Vx2a5MkASR6T5C2L2pkkSUOiPQPr7VX14BJssx/wJOB44LNN2ciXzktrqUaVq2pOVc2sqpnrTltr8RtIkjQOhilR3hc4tavsVGDfqroQOAg4IcllwMV0fgGQJEmjqKoC/gXYMcnWLOOXzlX1Q2Ad4BkTEa8kSeNpYKdeV9W0rvWFEt+q+ufW8neB705CaJIkDYL2lGyAH1TV+9oNqmpB8wqo91TVm5KMfOm8GlD89c/Vg5Ps31p/5SjHPBz49jjFL0nShEnnC2N1mzlzZs2dO7ffYUiShkSSeVU1s99xDLLtnvCU+uG7/5MN37FLv0ORJA2BRf1sHqap15IkaYit9Lg1TJIlSZPCEeUektwLXNHvOCbQ+sAf+h3EBLJ/g83+DTb7N7rNq2qD8Q5mebIc/GyeCMP+73EieM7GxvM1dp6zsZuoc9bzZ/PA3qM8Ca4Y5ilySebav8Fl/wab/Rtsw96/KW6ofzZPBK/XsfOcjY3na+w8Z2PXj3Pm1GtJkiRJklpMlCVJkiRJajFR7m1OvwOYYPZvsNm/wWb/Btuw928q89yPneds7DxnY+P5GjvP2dhN+jnzYV6SJEmSJLU4oixJkiRJUouJ8iiS7JrkiiRXJXlfv+NZVkmOTXJrkotbZesm+VGSK5s/1+lnjMsiyWZJzkpyaZJLkryzKR+KPiZZJcmvklzQ9O/fm/InJvllc51+I8nK/Y51aSVZIcn5Sb7brA9N3wCSXJfkoiTzk8xtyobi+gRIsnaSk5NcnuSyJH87LP1L8pTm723kc0+Sg4alf4Nk2H42T4Rh/79mPIzld6J0HNVccxcmeWb/Iu+fHufssCQ3tv5vfFmr7v3NObsiyUv7E3X/jPX3Uq+zRZ6zvl5nJspdkqwAfA7YDXgaMCvJ0/ob1TI7Dti1q+x9wI+raivgx836oPoz8K6qehqwI3Bg83c2LH38E/DCqtoOmAHsmmRH4D+AT1XVlsCdwJv6GOOyeidwWWt9mPo24gVVNaP1aoNhuT4BPgP8oKq2Braj83c5FP2rqiuav7cZwA7AH4FTGZL+DYoh/dk8UYb5/5rxcBxL/jvRbsBWzWc2cMwkxTjVHMfC5ww6P6dnNJ8zAJp/l/sC2zTbfL7597s8GevvpV5nvc8Z9PE6M1Fe2LOAq6rqmqp6EDgR2LPPMS2TqvopcEdX8Z7A8c3y8cArJzWocVRVN1XVec3yvXR+Sd+EIeljddzXrK7UfAp4IXByUz6w/UuyKbA78KVmPQxJ3xZjKK7PJGsBzwO+DFBVD1bVXQxJ/7q8CLi6qn7LcPZvKhu6n82TyGu1ZYy/E+0JfLX5OfwLYO0kj5+cSKeOHueslz2BE6vqT1V1LXAVnX+/y42l+L10ub/OFnHOepmU68xEeWGbANe31m9g0X9Rg2rDqrqpWb4Z2LCfwYyXJNOB7YFfMkR9TGdq8nzgVuBHwNXAXVX156bJIF+nnwYOAR5p1tdjePo2ooAfJpmXZHZTNizX5xOB24CvpDN9/ktJVmd4+te2L3BCszyM/ZvKlpefzctqmP+vmUi9zpHX3aK9rZkqfGxrSr/nrGUJfy/1nLV0nTPo43Vmoiyq8+jzgX/8eZJpwCnAQVV1T7tu0PtYVQ83Uz83pfON2dZ9DmlcJNkDuLWq5vU7lgm2U1U9k870qgOTPK9dOeDX54rAM4Fjqmp74H66pnYOeP8ASOc++VcA3+yuG4b+aWgM8/81k8JztMSOAbagc0vYTcCR/Q1n6hnm30snyijnrK/XmYnywm4ENmutb9qUDZtbRqZ1NH/e2ud4lkmSlej8w/paVX2rKR6qPgI0U1rPAv6WztScFZuqQb1Onwu8Isl1dKZSvpDO/a7D0Le/qKobmz9vpXN/67MYnuvzBuCGqhr55vdkOonzsPRvxG7AeVV1S7M+bP2b6paXn83LZMj/r5lIvc6R110PVXVL8yX+I8AXeXTaq+eMMf9e6jlj9HPW7+vMRHlhvwa2SuepuyvTmWp3ep9jmginA69vll8PfLuPsSyT5p7WLwOXVdUnW1VD0cckGyRZu1leFXgJnXs3zgJe3TQbyP5V1furatOqmk7n39pPqmo/hqBvI5KsnmSNkWXg74CLGZLrs6puBq5P8pSm6EXApQxJ/1pm8ei0axi+/k11y8vP5qU27P/XTLBe5+h04HXNU4l3BO5uTZ1drnXdQ7sXnWsNOuds3ySPTfJEOg+o+tVkx9dPS/F76XJ/nfU6Z/2+ztIZ+Vdb8+jxTwMrAMdW1eF9DmmZJDkB2AVYH7gF+DfgNOAk4AnAb4HXVNWSPqhhSkmyE3AOcBGP3ud6KJ17Gwa+j0meQeehDyvQ+XLrpKr6UJIn0RmFXRc4H9i/qv7Uv0iXTZJdgHdX1R7D1LemL6c2qysCX6+qw5OsxxBcnwBJZtB5GNvKwDXAG2iuVYajf6sDvwOeVFV3N2VD8/c3KIbtZ/N4Wx7+rxkPY/mdqPnl/Wg6T9X9I/CGqprbj7j7qcc524XOdNgCrgP+cSS5S/IB4I10nmR8UFV9f9KD7qOx/l7qdbbIczaLPl5nJsqSJEmSJLU49VqSJEmSpBYTZUmSJEmSWkyUJUmSJElqMVGWJEmSJKnFRFmSJEmSpBYTZUmSJEmSWkyUpQGVZJckN/Q7jmWR5NAkX+p3HJIkSVKbibK0lJLslOTnSe5OckeS/0vyN/2Oa0SSTZOckuQPTYwXJzmg33G1VdVHqurN47GvJNclWZDkvtbn6PHY9yKOOfBfVkiSJGlhK/Y7AGkQJVkT+C7wVuAkYGVgZ+BP43ycFavqz0u5+X8BFwCb04nr6cBGSxHDClX18FLGMNleXlX/0+8gJEmSNNgcUZaWzpMBquqEqnq4qhZU1Q+r6kKAJG9MclmSO5OcmWTzkQ2TfCbJ9UnuSTIvyc6tusOSnJzkv5PcAxyQZN0kX0ny+2Z/p7UDSfKuJLcmuSnJG1pVfwMcV1X3V9Wfq+r8qvp+a7uREfG7mngOaMqPS3JMkjOS3A+8IMnGzej0bUmuTfKO1n4ek+R9Sa5OcnuSk5Ks29RNT1JJXp/kd83o9ge6+vvfS9h21STHN+fgsiSHLMlobpLHNn3ctlW2QTP6/LhmfY8k85t2P0/yjFbb65K8O8mFzcj8N5KskmR14PvAxq0R7I0XF48kSZKmPhNlaen8Bni4Sdx2S7LOSEWSPYFDgVcBGwDnACe0tv01MANYF/g68M0kq7Tq9wROBtYGvkZnZHg1YBvgccCnWm03AtYCNgHeBHyuFcsvmvV9kzyhHXyTuH8f+GwT4wxgfqvJ3wOHA2sAPwe+Q2d0ehPgRcBBSV7atH078Erg+cDGwJ3A57rO107AU5pt/zXJU+mtV9t/A6YDTwJeAuy/iH38RVX9CfgWMKtV/Brgf6vq1iTbA8cC/wisB/wncHqSx3a13xV4IvAM4ICquh/YDfh9VU1rPr9fkpgkSZI0tZkoS0uhqu6hk9AV8EXgtiSnJ9kQeAvw0aq6rJk2/RFgxsioclX9d1Xd3ozyHgk8lk5iOOLcqjqtqh6hkyzvBrylqu6sqoeq6n9bbR8CPtSUnwHc19rXPnSS9H8Brm1GTEfuof574H+aEfGHmnjaifK3q+r/mhieDmxQVR+qqger6pqmz/s2bd8CfKCqbmiS0sOAVydp39rx782o+wV0Eu7tFnF6e7V9DfCR5jzcABw1yranNaPCI59/aMq/3op3pP9fb5ZnA/9ZVb9sZgccT2eq+o6t9kdV1e+r6g46XxrMWET8kiRJGnAmytJSahLhA6pqU2BbOqOpn6ZzT/BnRpI14A4gdEZjaabxXtZM472Lzojw+q1dX99a3gy4o6ru7BHG7V33MP8RmNbEd2dVva+qtgE2pDNifFqSNPu9ehHda8ewOZ3pxXe1+nRos8+R+lNbdZcBD7fqAW4eLcYeerXduCuu9vKIV1bV2q3PF5vys4DVkjw7yXQ6ie6prfjf1dW/zZrjLU38kiRJGnAmytI4qKrLgePoJMzXA//YlbCtWlU/b+5HPoTO6Og6VbU2cDedRPovu2stXw+sm2TtZYzvD8ARdJK/dZv9brGoTbpiuLarP2tU1cta9bt11a9SVTcuS8yjuAnYtLW+2ZJu2DyM7CQ6069nAd+tqnub6uuBw7viX62qTui1v/aulzQGSZIkDQ4TZWkpJNm6eYjWps36ZnQSsF8AXwDen2Sbpm6tJPs0m64B/Bm4DVgxyb8Ca/Y6TlXdROde4s8nWSfJSkmet4Qx/keSbZOsmGQNOk/ovqqqbqdz7/OLk7ymqV8vSa/pxL8C7k3y3uaBWis0+x2Zxv0F4PCRqeXNg7L2XJIYx+gkOud1nSSbAG8b4/ZfB14L7Mej066hM438Lc1oc5KsnmT35pwtzi3AeknWGmMskiRJmsJMlKWlcy/wbOCX6TwZ+hfAxcC7qupU4D+AE9N5cvXFdO4zBjgT+AGdh4H9FniA0acQt/0/OvciXw7cChy0hDGuRmd68V3ANXSmGL8CoKp+B7wMeBedqeHz6XHfcDMauwed6crXAn8AvkRnyjjAZ4DTgR8muZfOuXj2EsY4Fh8Cbmhi+B86Dzzrfh3Xd/LX71EemV5NVf0SuJ/OqPr3W+VzgX8AjqbzILKrgAOWJKBmJsEJwDXNtG2fei1JkjQEUuXMQUmDJ8lbgX2r6vn9jkWSJEnDxRFlSQMhyeOTPDed9zY/hc5o+KmL206SJEkaqxUX30SSpoSV6bzj+Il0ppOfCHy+rxFJkiRpKDn1WpIkSZKkFqdeS5IkSZLUYqIsSZIkSVKL9yj3sP7669f06dP7HYYkaUjMmzfvD1W1Qb/jkCRJi2ei3MOmq6/J99+0pK+rlSQNow3euv+47SvJb8dtZ5IkaUI59VqSJEmSpJYpnSgnWS/J/OZzc5IbW+t/bNpMT1JJPtzabv0kDyU5ulk/rGvb+UnW7le/JEmSJElT15Seel1VtwMzoJPsAvdV1RHN+n2tptcCuwMfbNb3AS7p2t2nRraVJEmSJKmXKT2iPAZ/BC5LMrNZfy1wUh/jkSRJkiQNqGFJlAFOBPZNshnwMPD7rvqDW9Ouz5r88CRJkiRJg2BKT70eox8A/x9wC/CNUeoXO/U6yWxgNsCm66437gFKkiRJkqa+oRlRrqoHgXnAu4CTl3Ifc6pqZlXNXG/amuManyRJkiRpMAzTiDLAkcD/VtUdSfodiyRJkiRpAA1VolxVl7Dw065HHJxk/9b6K6vquomPSpIkSZI0SAYmUa6qw7rWpzV/XgdsO0r744DjWtse1t1GkiRJkqRuQ3OPsiRJkiRJ42FgRpQn24obrMsGb91/8Q0lSZIkSUPFEWVJkiRJklpMlCVJkiRJanHqdQ8P3nodNxz9xn6HIWkCbfq2Y/sdgiRJkqYgR5QlSZIkSWpZ6kQ5yUZJTkxydZJ5Sc5I8uSm7qAkDyRZq9V+lyR3J5mf5PIkR7TqDkhyW5Lzk1yZ5Mwkz2nVH5fk1c3y2UnmtupmJjm7K7ZPJ7kxyWO6jnH00vZXkiRJkrR8WKpEOUmAU4Gzq2qLqtoBeD+wYdNkFvBr4FVdm55TVTOA7YE9kjy3VfeNqtq+qrYCPgZ8K8lTe4TwuCS79YjtMcBewPXA85eie5IkSZKk5djSjii/AHioqr4wUlBVF1TVOUm2AKYBH6STMC+kqhYA84FNetSfBcwBZvc4/ieAD/So2wW4BDim1/ElSZIkSeplaRPlbYF5Per2BU4EzgGekmTD7gZJ1gG2An66iGOcB2zdo+5c4MEkLxilbhZwAp0R792TrLSIY0iSJEmS9Fcm4mFes4ATq+oR4BRgn1bdzkkuAG4EzqyqmxexnyzmOB+mM2r96AbJysDLgNOq6h7gl8BLlzTwJLOTzE0y9477HljSzSRJkiRJQ2RpE+VLgB26C5M8nc5I8Y+SXEdndLk9/fmcqtoO2AZ4U5IZizjG9sBlvSqr6ifAqsCOreKXAmsDFzXH34kxTL+uqjlVNbOqZq47bZUl3UySJEmSNESWNlH+CfDYJH+5hzjJM4CjgMOqanrz2RjYOMnm7Y2r6lo6D+x672g7T/J8Ovcnf3ExcXwYOKS1Pgt488jxgScCL0my2ph6J0mSJElabi1VolxVRefJ0i9uXg91CfBROg/SOrWr+alRJ5CLAAAc3klEQVR0Rpa7fQF4XpLpzfprm1dH/QY4FNi7qnqOKDdxnAHcBtAkw7sC32vV3w/8DHh5U3RAkhtan02XsMuSJEmSpOVEOjmvuj3jCevXGYe8ot9hSJpAm77t2H6HoOVIknlVNbPfcUiSpMVbsd8BTFUrP266v0RLkiRJ0nJoIp56LUmSJEnSwDJRliRJkiSpxanXPdz7hys560u79zsMacp6wZu/t/hGkiRJ0gByRFmSJEmSpJaBSZSTbJrk20mubF5J9ZkkKyfZJcndzaulLk9yRNd2uyb5VVM3P8k3kjyhX/2QJEmSJE1tA5EoJwnwLeC0qtoKeDIwDTi8aXJOVc0Atgf2SPLcZrttgc8Cr6+qrZs2XwOmT3IXJEmSJEkDYlDuUX4h8EBVfQWgqh5OcjBwLXDWSKOqWpBkPrBJU/Re4CNVdVmrzemTF7YkSZIkadAMxIgysA0wr11QVfcAvwO2HClLsg6wFfDT1nbnTVKMkiRJkqQhMCiJ8uLsnOQC4EbgzKq6ubtBkvWae5R/k+Tdo+0kyewkc5PMvfveByc6ZkmSJEnSFDQoifKlwA7tgiRrAk8ArqJzj/J2dEaQ35RkRtPsEuCZAFV1e3OP8hw69zcvpKrmVNXMqpq51horT0xPJEmSJElT2qAkyj8GVkvyOoAkKwBHAscBfxxpVFXXAh+jc28ywMeBDyR5amtfq01GwJIkSZKkwTQQiXJVFbAXsE+SK4HfAA8Ah47S/AvA85JMr6qLgHcCX01yRZL/A54KfH2SQpckSZIkDZhBeeo1VXU98PJRqs5uPiPtFvDoU6+pqu8B35vg8CRJkiRJQ2IgRpQlSZIkSZosAzOiPNnWWH8rXvBmB6IlSZIkaXnjiLIkSZIkSS0mypIkSZIktTj1uofbb/8Nxx3/d/0OQ1rIAa//Yb9DkCRJkoaaI8qSJEmSJLVM2UQ5ycNJ5ie5JMkFSd6V5DFdbU5L8otm+aVN+/lJ7mvemzw/yVeT7JLk7lb9/CQv7k/PJEmSJElT2VSeer2gqmYAJHkc8HVgTeDfmrK1gR2A+5I8qarOBM5s6s4G3l1Vc5v1XYBzqmqPye6EJEmSJGmwTNkR5baquhWYDbwtSZriVwHfAU4E9u1XbJIkSZKk4TIQiTJAVV0DrAA8rimaBZzQfGYtwS527pp6vcUEhSpJkiRJGmBTeep1T0k2BLYCflZVleShJNtW1cWL2GyxU6+TzKYzcs16660yfgFLkiRJkgbGwIwoJ3kS8DBwK/AaYB3g2iTXAdNZslHlRaqqOVU1s6pmrrHGSsu6O0mSJEnSABqIRDnJBsAXgKOrqugkxbtW1fSqmk7noV7epyxJkiRJWmZTeer1qknmAysBfwb+C/hkkunA5sAvRhpW1bXN65+eXVW/7LG/nZv9jfhwVZ08MaFLkiRJkgbVlE2Uq2qFHlXXAZuM0v6ZreVduurOBtYav+gkSZIkScNqyibK/bbeek/mgNf/sN9hSJIkSZIm2UDcoyxJkiRJ0mQxUZYkSZIkqcWp1z3ceOeVfOCbu/Y7DE2iw/f5Qb9DkCRJkjQFOKIsSZIkSVLLhCfKSR5OMj/JxUm+mWS1rvKRz/ua8rOTXJHkgiS/TjKjta83JrkoyYXN/vZsypPkg0muTPKbJGcl2aa13XVJTmmtvzrJcRPdd0mSJEnS4JmMqdcLqmoGQJKvAW8BPtkuH8V+VTU3yRuATwAvSbIp8AHgmVV1d5JpwAZN+wOB5wDbVdUfk/wdcHqSbarqgabNDkmeVlWXTkw3JUmSJEnDYLKnXp8DbDmG9ufy6DuTHwfcC9wHUFX3VdW1Td17gbdV1R+buh8CPwf2a+3rSDqJtiRJkiRJPU1aopxkRWA34KKmaNWuqdevHWWzXYHTmuULgFuAa5N8JcnLm/2uCaxeVdd0bTsX2Ka1fhLwzCRjSdQlSZIkScuZyZh6vWqS+c3yOcCXm+VFTb3+WpKVgWnADICqejjJrsDfAC8CPpVkBzrTuJfEw3Smcb8f+P5oDZLMBmYDrLn+Kku4W0mSJEnSMJmMEeUFVTWj+by9qh5cgm32A54EHA98dqSwOn5VVR8F9gX2rqp7gPuTPKlrHzsAl3SV/RfwPGCz0Q5aVXOqamZVzVxtzZWXrHeSJEmSpKEyZV8PVVUF/AuwY5Ktk2yc5JmtJjOA3zbLnwCOSrIqQJIXAzsBX+/a50PAp4CDJzp+SZIkSdJgmoyp1720p2QD/KCq3tduUFULkhwJvAf4EHBEko2BB4Db6DxBGzqjzusAFyV5GLgZ2LOqFoxy3C8DHxzfrkiSJEmShsWEJ8pVNa1H+Qo9ynfpWj+ytfrCHtsU8O/NZ7T66a3lPwEbLypmSZIkSdLya8pOvZYkSZIkqR/6OfV6Sttkna04fJ8f9DsMSZIkSdIkc0RZkiRJkqQWE2VJkiRJklqcet3DlXfdyMtOO7TfYQyNM175kX6HIEmSJElLxBFlSZIkSZJaplyinKSadyePrL87yWGt9dlJLm8+v0qyU6vu7CRXJLkgya+TzGjVXZfkoiQXJvlhko0mrVOSJEmSpIEx5RJl4E/Aq5Ks312RZA/gH4Gdqmpr4C3A17uS3v2qajvg88Anunbxgqp6BjAXcF61JEmSJGkhUzFR/jMwBzh4lLr3Au+pqj8AVNV5wPHAgaO0PRfYpMcxfgpsueyhSpIkSZKGzVRMlAE+B+yXZK2u8m2AeV1lc5vybrsCp/XY/x7ARcsUoSRJkiRpKE3Jp15X1T1Jvgq8A1gwxs2/lmRlYBowo6vurCQPAxcCH+zeMMlsYDbAKhusOea4JUmSJEmDb6qOKAN8GngTsHqr7FJgh652OwCXtNb3A55EZ0r2Z7vavqCqZlTV66rqru4DVtWcqppZVTNXXnO1Ze6AJEmSJGnwTNlEuaruAE6ikyyP+DjwH0nWA2iean0AnQd3tbct4F+AHZNsPSkBS5IkSZKGwpScet1yJPC2kZWqOj3JJsDPkxRwL7B/Vd3UvWFVLWheM/Ue/jrZliRJkiSppymXKFfVtNbyLcBqXfXHAMf02HaXrvUjW8vTxzNOSZIkSdJwmrJTryVJkiRJ6ocpN6I8VWy19iac8cqP9DsMSZIkSdIkc0RZkiRJkqQWR5R7uPLOP7D7KV/sdxjL5Ht7/0O/Q5AkSZKkgeOIsiRJkiRJLQOZKCfZMMnXk1yTZF6Sc5PslWSXJHcnmZ/ksiT/1rRvl498XtzvfkiSJEmSpp6Bm3qdJMBpwPFV9fdN2ebAK4A7gXOqao8kqwPzk3yn2fScqtqjL0FLkiRJkgbGII4ovxB4sKq+MFJQVb+tqs+2G1XV/cA8YMtJjk+SJEmSNMAGMVHeBjhvcY2SrAfsCFzSFO3cNfV6i4kMUpIkSZI0mAZu6nW3JJ8DdgIeBN5DJyE+H3gE+FhVXZJkF5Zg6nWS2cBsgFXWX3dC45YkSZIkTU2DmChfAuw9slJVByZZH5jbFC31vchVNQeYA7DWFtNrWQOVJEmSJA2eQZx6/RNglSRvbZWt1q9gJEmSJEnDZeAS5aoq4JXA85Ncm+RXwPHAexezafc9yq+e8GAlSZIkSQNnEKdeU1U3Afv2qD57lPZnA2tNYEiSJEmSpCExcCPKkiRJkiRNpIEcUZ4MW62zPt/b+x/6HYYkSZIkaZI5oixJkiRJUouJsiRJkiRJLU697uGqO+/i5Sef2u8wFvKdV+/V7xAkSZIkaag5oixJkiRJUsvAJcpJ7hulbK0kX01yVZKrm+W1WvVPTnJGkiuTnJfkpCQbTm7kkiRJkqRBMHCJcg9fBq6pqi2ragvgWuBLAElWAb4HHFNVW1XVM4HPAxv0LVpJkiRJ0pQ18PcoJ9kS2AF4bav4Q8BVSbYAng+cW1XfGamsqrMnNUhJkiRJ0sAYhhHlpwHzq+rhkYJmeT6wDbAtMK9PsUmSJEmSBswwJMrjJsnsJHOTzH3wnnv6HY4kSZIkqQ+GIVG+FJiR5C99aZZnNHWX0JmavVhVNaeqZlbVzJXXXHNCgpUkSZIkTW0DnyhX1VXA+cAHW8UfBM5r6r4OPCfJ7iOVSZ6XZNvJjVSSJEmSNAgGMVFeLckNrc8/A28Cnty8Gupq4MlNGVW1ANgDeHvzeqhLgX8CbutXByRJkiRJU9fAPfW6qnol9/svYpvLgV0nJiJJkiRJ0jAZxBFlSZIkSZImzMCNKE+WLddZm++8eq9+hyFJkiRJmmSOKEuSJEmS1GKiLEmSJElSi1Ove7j6zvvZ+5Rf9eXYp+z9rL4cV5IkSZLkiLIkSZIkSX9l0hPlJJXkv1vrKya5Lcl3W2WvTHJhksuSXJTkla2645LcmOSxzfr6Sa5rlqcnWZBkfuvzuiRfS/LW1j6e3ex/pUnptCRJkiRpYPRj6vX9wLZJVq2qBcBLgBtHKpNsBxwBvKSqrk3yROBHSa6pqgubZg8DbwSOGWX/V1fVjHZBkjOBc5OcDNwOHA38U1U9NN6dkyRJkiQNtn5NvT4D2L1ZngWc0Kp7N/CRqroWoPnzo8B7Wm0+DRycZIkS/aq6hU7y/XHgLcCFVfWzZeqBJEmSJGko9StRPhHYN8kqwDOAX7bqtgHmdbWf25SP+B3wM+D/jbLvLbqmXu/clH8BeBqdhPuQ0YJKMjvJ3CRz/3TPXWPulCRJkiRp8PXlqddVdWGS6XRGk89Yyt18FPg28L2u8oWmXjfHfCTJfwIzq+r2HnHNAeYArLPFU2sp45IkSZIkDbB+PvX6dDrToU/oKr8U2KGrbAfgknZBVV0JzAdeM4ZjPtJ8JEmSJEkaVT/fo3wscFdVXZRkl1b5EcA3k/ykqq5rRp4PBV49yj4OZ+ERZUmSJEmSllrfEuWqugE4apTy+UneC3yneX3TQ8AhVTV/lLaXJDkPeGareIsk7bbHVtVCx5EkSZIkaTSp8lbc0ayzxVPrhR8/vi/HPmXvZ/XluJKkiZNkXlXN7HcckiRp8fo59XpK22Kd1U1YJUmSJGk51M+HeUmSJEmSNOWYKEuSJEmS1OLU6x5uueshPnnqzeOyr3/ea6Nx2Y8kSZIkaeI5oixJkiRJUsu4J8pJNk3y7SRXJrk6yWeSrJxklyR3J5mf5PIkR7S2OSDJbUnOb7Y7M8lzWvXHJXl1s3x2krmtuplJzu6K4dNJbkzymK5jHD3e/ZUkSZIkDZdxTZSTBPgWcFpVbQU8GZgGHN40OaeqZgDbA3skeW5r829U1fbNdh8DvpXkqT0O9bgku/WI4THAXsD1wPOXuVOSJEmSpOXKeI8ovxB4oKq+AlBVDwMHA28EVhtpVFULgPnAJqPtpKrOAuYAs3sc5xPAB3rU7QJcAhwDzBpzDyRJkiRJy7XxTpS3Aea1C6rqHuB3wJYjZUnWAbYCfrqIfZ0HbN2j7lzgwSQvGKVuFnACcCqwe5KVljh6SZIkSdJyb7If5rVzkguAG4Ezq2pRj5XOYvb1YeCDf7VBsjLwMjpTv+8Bfgm8dEmDSzI7ydwkc++/5/Yl3UySJEmSNETGO1G+FNihXZBkTeAJwFV07lHejs7I85uSzFjEvrYHLutVWVU/AVYFdmwVvxRYG7goyXXAToxh+nVVzamqmVU1c/U111vSzSRJkiRJQ2S8E+UfA6sleR1AkhWAI4HjgD+ONKqqa+k8sOu9o+0kyfPp3J/8xcUc78PAIa31WcCbq2p6VU0Hngi8JMlqo20sSZIkSVK3cU2Uq6roPHF6nyRXAr8BHgAOHaX5F4DnJZnerL+2eXXUb5r2e1dVzxHl5nhnALcBNMnwrsD3WvX3Az8DXt4UHZDkhtZn06XrqSRJkiRpWKWT26rbZltuVwd/4sxx2dc/77XRuOxHkjS4ksyrqpn9jkOSJC3eZD/MS5IkSZKkKW3FfgcwVW249kqOBEuSJEnScsgRZUmSJEmSWkyUJUmSJElqcep1D/fe8WfO/u/bxmVfu+y/wbjsR5IkSZI08RxRliRJkiSpZWAT5SQPN+9dHvlMb8oPSvJAkrW62u+WZG6SS5Ocn+TIfsQtSZIkSZraBnnq9YKqmjFK+Szg18CrgK8AJNkWOBrYvaouT7ICMHvSIpUkSZIkDYyBHVEeTZItgGnAB+kkzCMOAQ6vqssBqurhqjqmDyFKkiRJkqa4QU6UV21Nuz61KdsXOBE4B3hKkg2b8m2BeYvbYZLZzfTsuXffc/vERC1JkiRJmtIGOVFeUFUzms9eTdks4MSqegQ4BdhnLDusqjlVNbOqZq615nrjHa8kSZIkaQAM8j3KfyXJ04GtgB8lAVgZuJbOvcmXADsAF/QtQEmSJEnSQBjkEeVus4DDqmp689kY2DjJ5sAngEOTPBkgyWOSvKWfwUqSJEmSpqZhSpT3BU7tKjsV2LeqLgQOAk5IchlwMfCkSY5PkiRJkjQABnbqdVVN61pfKPGtqn9uLX8X+O4khCZJkiRJGmADmyhPtDXWXZFd9t+g32FIkiRJkibZME29liRJkiRpmZkoS5IkSZLU4tTrHh66+SFu+vhNPesff8jjJzEaSZIkSdJkcURZkiRJkqSWpR5RTrIp8DngacAKwBnAu+i8z3hmVb2t1fZs4N1VNbdZnwGcD+xWVT9otSvgk1X1rmb93cA04CFgn6bZ04GLmuVjgXWB+4AnAs8FVm6Wr2jafK2J57XNPtdsjv2SqrpmafsvSZIkSRpOSzWinCTAt4DTqmorYCtgVeDjS7iLWcDPmj/b/gS8Ksn67cKqOryqZlTVDGDByHJVHdVqc2BT/zLg6lb7I4DNkry4afoh4FiTZEmSJEnSaJZ26vULgQeq6isAVfUwcDDwOjojwD01SfY+wAHAS5Ks0qr+MzCn2de4qKoC3gJ8OslM4EXAJ8Zr/5IkSZKk4bK0ifI2wLx2QVXdA1zH4qdzPwe4tqquBs4Gdu+q/xywX5K1ljK2hVTVhcCZwI+Bt1fVg+O1b0mSJEnScJmIh3n1SnCr+XMWcGKzfCJd06+bhPurwDvGOa7PATdW1dm9GiSZnWRukrm333/7OB9ekiRJkjQIljZRvhTYoV3QPCRrI+A8YJ2u9usCf0iyArA38K9JrgM+C+yaZI2u9p8G3gSsvpTxjeaR5tNTVc2pqplVNXO91dcbx0NLkiRJkgbF0ibKPwZWS/I6gCYBPhI4GvgV8NwkGzV1M4HHAtfTuT/4wqrarKqmV9XmwCnAXu2dV9UdwEl0kmVJkiRJkibNUiXKzQOy9gJeneRK4Hbgkebp1LcA7wTOSDKfzujwrKp6hM4061O7dncKCz/9GjqJ9/qjlEuSJEmSNGHSyXmXcSfJc4ATgL2q6rxl3uEUsN2m29UP3vGDnvWPP+TxkxiNJGnQJZlXVTP7HYckSVq8xT2heolU1c+BzcdjX5IkSZIk9dO4JMrDaKWNVnLUWJIkSZKWQxPxeihJkiRJkgaWibIkSZIkSS1Ove7hoVvv45ajfvaX9Q3fsVMfo5EkSZIkTRZHlCVJkiRJalnmRDnJw0nmJ7k4yTeTrDZK+XeSrN3aZpskP0lyRZIrk/xLkjR1ByS5Lcn5Td2ZzeunRrY9O8nM1vr0JBe31p+V5KfNvs9P8qUkBzaxzE/yYJKLmuWPLWv/JUmSJEnDZTxGlBdU1Yyq2hZ4EHjLKOV3AAcCJFkVOB34WFU9BdgOeA7wT619fqOqtq+qrYCPAd9K8tTFBZJkQ+CbwHur6ilVtT3wA+DkJpYZwO+BFzTr7xuH/kuSJEmShsh4T70+B9hylPJzgU2a5b8H/q+qfghQVX8E3gaMmrRW1VnAHGD2Ehz/QOD4qjq3tf3JVXXLEvdAkiRJkrRcG7dEOcmKwG7ARV3lKwAvojOKDLANMK/dpqquBqYlWbPH7s8Dtl6CMLbt3rckSZIkSWMxHonyqknmA3OB3wFf7iq/GdgQ+NEyHCOt5RqlfrSysR8kmZ1kbpK5d9x313jsUpIkSZI0YMbzHuUZVfX2qnqwXQ5sTifRPbApvxTYob2DJE8C7quqe3ocY3vgsmb5dmCdVt26wB+a5Uu69z0WVTWnqmZW1cx1p629+A0kSZIkSUNnwl8P1dyD/A7gXc307K8BOyV5Mfzl4V5HAR8fbfskz6dzf/IXm6Kzgf1HnpINvB44q1k+Gnh9kme3tn9V85AvSZIkSZIWa1Leo1xV5wMXArOqagGwJ/DBJFfQuaf513SS3BGvbV7f9BvgUGDvqhoZUZ4D3AtckOQCYBpwRHOcW4B9gSOa10NdBry0aS9JkiRJ0mKtuKw7qKppS1JeVS9vLV8E7NJju+OA4xZxvAfpPCW7V/25wM6LqJ/eq06SJEmSpGVOlIfVSo+bxobv2KnfYUiSJEmSJtmkTL2WJEmSJGlQpGpc3qw0dJLcC1zR7zgGyPo8+vRxLZ7na2w8X0vOczU2k3m+Nq+qDSbpWJIkaRk49bq3K6pqZr+DGBRJ5nq+lpzna2w8X0vOczU2ni9JkjQap15LkiRJktRioixJkiRJUouJcm9z+h3AgPF8jY3na2w8X0vOczU2ni9JkrQQH+YlSZIkSVKLI8qSJEmSJLWYKI8iya5JrkhyVZL39TueqSTJZknOSnJpkkuSvLMpXzfJj5Jc2fy5Tr9jnUqSrJDk/CTfbdafmOSXzTX2jSQr9zvGqSLJ2klOTnJ5ksuS/K3XV29JDm7+LV6c5IQkq3h9PSrJsUluTXJxq2zU6ykdRzXn7cIkz+xf5JIkqZ9MlLskWQH4HLAb8DRgVpKn9TeqKeXPwLuq6mnAjsCBzfl5H/DjqtoK+HGzrke9E7istf4fwKeqakvgTuBNfYlqavoM8IOq2hrYjs558/oaRZJNgHcAM6tqW2AFYF+8vtqOA3btKut1Pe0GbNV8ZgPHTFKMkiRpijFRXtizgKuq6pqqehA4EdizzzFNGVV1U1Wd1yzfSyeJ2YTOOTq+aXY88Mr+RDj1JNkU2B34UrMe4IXAyU0Tz1cjyVrA84AvA1TVg1V1F15fi7IisGqSFYHVgJvw+vqLqvopcEdXca/raU/gq9XxC2DtJI+fnEglSdJUYqK8sE2A61vrNzRl6pJkOrA98Etgw6q6qam6GdiwT2FNRZ8GDgEeadbXA+6qqj83615jj3oicBvwlWaq+peSrI7X16iq6kbgCOB3dBLku4F5eH0tTq/ryf//JUkSYKKspZRkGnAKcFBV3dOuq86j1H2cOpBkD+DWqprX71gGxIrAM4Fjqmp74H66pll7fT2qubd2TzpfMGwMrM7C04y1CF5PkiRpNCbKC7sR2Ky1vmlTpkaSlegkyV+rqm81xbeMTFFs/ry1X/FNMc8FXpHkOjrT+F9I5x7ctZupsuA11nYDcENV/bJZP5lO4uz1NboXA9dW1W1V9RDwLTrXnNfXovW6nvz/X5IkASbKo/k1sFXz1NiV6TwY5/Q+xzRlNPfXfhm4rKo+2ao6HXh9s/x64NuTHdtUVFXvr6pNq2o6nWvpJ1W1H3AW8OqmmeerUVU3A9cneUpT9CLgUry+evkdsGOS1Zp/myPny+tr0XpdT6cDr2uefr0jcHdrirYkSVqOpDPrTG1JXkbnvtIVgGOr6vA+hzRlJNkJOAe4iEfvuT2Uzn3KJwFPAH4LvKaquh+gs1xLsgvw7qraI8mT6IwwrwucD+xfVX/qZ3xTRZIZdB58tjJwDfAGOl/qeX2NIsm/A6+l80T684E307mv1usLSHICsAuwPnAL8G/AaYxyPTVfNhxNZ/r6H4E3VNXcfsQtSZL6y0RZkiRJkqQWp15LkiRJktRioixJkiRJUouJsiRJkiRJLSbKkiRJkiS1mChLkiRJktRioixJkiRJUouJsiRJkiRJLSbKkiRJkiS1/P9vCnNsL+2cEQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Conclusion:**\n",
        "\n",
        "1.   Total rows: 9951; Total columns: 2 (text, intent)\n",
        "2.   Total 7 classes with almost equal distribution: GetWeather, BookRestaurant, PlayMusic, SearchCreativeWork, AddToPlaylist, RateBook, SearchScreeningEvent.\n",
        "3.   Length of text ranges from 10 to 125 characters approximately.\n",
        "4.   Range of words in texts ranges from 2 to 25.\n",
        "5.   119 stopwords present.\n",
        "6.   NER tag that was observed most across the documents: cardinal"
      ],
      "metadata": {
        "id": "2yFyrxzmG6ZB"
      }
    }
  ]
}