{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "![JohnSnowLabs](https://nlp.johnsnowlabs.com/assets/images/logo.png)"
      ],
      "metadata": {
        "id": "5EFQ-jjsrBnA"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/finance-nlp/80.1.Augmenting_NER_With_Wikidata.ipynb)"
      ],
      "metadata": {
        "id": "EAROfvGhrDo4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#🔎 Integrate Wikidata in Spark NLP for Finance\n",
        "In this notebook, we will guide you to the process of get data from Wikidata SparQL service and store it in a ChunkMapper, so that you can get that information at scale inside Finance NLP."
      ],
      "metadata": {
        "id": "U-fY-dHDrMFV"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![image.png](data:image/png;base64,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      ],
      "metadata": {
        "id": "Q0WpW--osrn6"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "collapsed": false,
        "id": "gk3kZHmNj51v"
      },
      "source": [
        "#🎬 Installation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "pycharm": {
          "is_executing": true
        },
        "id": "_914itZsj51v",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0f26cfa4-09ba-48a2-b82e-355e1aea4fe1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m74.8/74.8 KB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m570.6/570.6 KB\u001b[0m \u001b[31m48.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m212.4/212.4 MB\u001b[0m \u001b[31m6.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m453.8/453.8 KB\u001b[0m \u001b[31m20.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m95.4/95.4 KB\u001b[0m \u001b[31m11.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m198.6/198.6 KB\u001b[0m \u001b[31m21.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m66.9/66.9 KB\u001b[0m \u001b[31m7.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m82.3/82.3 KB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m29.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for pyspark (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for databricks-cli (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ],
      "source": [
        "! pip install -q johnsnowlabs"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##🔗 Automatic Installation\n",
        "Using my.johnsnowlabs.com SSO"
      ],
      "metadata": {
        "id": "YPsbAnNoPt0Z"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "pycharm": {
          "is_executing": true
        },
        "id": "fY0lcShkj51w"
      },
      "outputs": [],
      "source": [
        "from johnsnowlabs import nlp, legal\n",
        "\n",
        "# nlp.install(force_browser=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##🔗 Manual downloading\n",
        "If you are not registered in my.johnsnowlabs.com, you received a license via e-email or you are using Safari, you may need to do a manual update of the license.\n",
        "\n",
        "- Go to my.johnsnowlabs.com\n",
        "- Download your license\n",
        "- Upload it using the following command"
      ],
      "metadata": {
        "id": "hsJvn_WWM2GL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "print('Please Upload your John Snow Labs License using the button below')\n",
        "license_keys = files.upload()"
      ],
      "metadata": {
        "id": "i57QV3-_P2sQ",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 89
        },
        "outputId": "320785ea-b48f-4464-cd4f-c21c16e838f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Please Upload your John Snow Labs License using the button below\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-20c13fd4-3da0-4b8f-90e6-d8fad6ec3f02\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-20c13fd4-3da0-4b8f-90e6-d8fad6ec3f02\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
              "  for (const key of Object.keys(styleAttributes)) {\n",
              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving 4.2.8.json to 4.2.8.json\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "- Install it"
      ],
      "metadata": {
        "id": "xGgNdFzZP_hQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "nlp.install()"
      ],
      "metadata": {
        "id": "OfmmPqknP4rR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f44a4e19-42bc-4acf-a1df-c93fcea754aa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "👌 Detected license file /content/4.2.8.json\n",
            "📋 Stored John Snow Labs License in /root/.johnsnowlabs/licenses/license_number_0_for_Spark-Healthcare_Spark-OCR.json\n",
            "👷 Setting up  John Snow Labs home in /root/.johnsnowlabs, this might take a few minutes.\n",
            "Downloading 🐍+🚀 Python Library spark_nlp-4.2.8-py2.py3-none-any.whl\n",
            "Downloading 🐍+💊 Python Library spark_nlp_jsl-4.2.8-py3-none-any.whl\n",
            "Downloading 🫘+🚀 Java Library spark-nlp-assembly-4.2.8.jar\n",
            "Downloading 🫘+💊 Java Library spark-nlp-jsl-4.2.8.jar\n",
            "🙆 JSL Home setup in /root/.johnsnowlabs\n",
            "👌 Detected license file /content/4.2.8.json\n",
            "Installing /root/.johnsnowlabs/py_installs/spark_nlp_jsl-4.2.8-py3-none-any.whl to /usr/bin/python3\n",
            "Installed 1 products:\n",
            "💊 Spark-Healthcare==4.2.8 installed! ✅ Heal the planet with NLP! \n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#📌 Starting"
      ],
      "metadata": {
        "id": "DCl5ErZkNNLk"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "wRXTnNl3j51w",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "aa671523-6e53-4c40-d7b1-02d7579f4c68"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "👌 Detected license file /content/4.2.8.json\n",
            "👌 Launched \u001b[92mcpu optimized\u001b[39m session with with: 🚀Spark-NLP==4.2.8, 💊Spark-Healthcare==4.2.8, running on ⚡ PySpark==3.1.2\n"
          ]
        }
      ],
      "source": [
        "spark = nlp.start()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#🔎 Wikidata and SparQL\n",
        "You probably know Wikipedia is built on top of one of the biggest ontologies, Wikidata.\n",
        "\n",
        "Wikidata is based on triplets (subject, relation/verb, object), and it can be queried using [SparQL](https://en.wikipedia.org/wiki/SPARQL) (a triplets - RDF - OWL query language). \n",
        "\n",
        "Don't confuse SparQL (the Query Language for ontologies) with Spark NLP."
      ],
      "metadata": {
        "id": "lhko6jFlsuBq"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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)"
      ],
      "metadata": {
        "id": "gOwPq7gxt7MR"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "The aim of this notebook is not to teach you SparQL (to do that, you can use resources as [W3.org tutorial](https://www.w3.org/TR/rdf-sparql-query/)), but how to integrate the data you get with your SparQL queries on Wikidata into Finance NLP. "
      ],
      "metadata": {
        "id": "YqHcOn8-t9db"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "##🚀 The query\n",
        "📚For this example, we are going to ask in Wikidata for:\n",
        "- Instances in Wikidata of companies `(wd:Q783794`)...\n",
        "- ... which are parent companies of other companies (`?relationship = wdt:P355 || ?relationship = wdt:P749 || ?relationship = wdt:P108`)... \n",
        "- ... which have a Stock Exchange and a Ticker symbol (`[pq:P249 ?ticker; ps:P414 ?exchange ]`)...\n",
        "- ... in English (`SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\" }`)\n",
        "- ... with both companies (parent and subsidiary) with labels in English (`   FILTER (lang(?itemLabel) = 'en')\n",
        "  FILTER (lang(?relatedCompanyLabel) = 'en')`)\n",
        "- We will limit the results to 100 (`LIMIT 100`)\n",
        "- And select the ids, labels, and the specific relation of both companies (`SELECT DISTINCT ?id ?itemLabel ?exchangeLabel ?tickerLabel ?relationship ?relatedCompany ?relatedCompanyLabel`)\n",
        "\n",
        "📚This is the resulting query:\n",
        "\n",
        "```\n",
        "SELECT DISTINCT ?id ?itemLabel ?exchangeLabel ?tickerLabel ?relationship ?relatedCompany ?relatedCompanyLabel\n",
        "WHERE {\n",
        "  ?id wdt:P31/wdt:P279* wd:Q783794 ; p:P414 [pq:P249 ?ticker; ps:P414 ?exchange ] .\n",
        "  ?id ?relationship ?relatedCompany .\n",
        "  ?relatedCompany rdfs:label ?relatedCompanyLabel .\n",
        "  ?id rdfs:label ?itemLabel .\n",
        "  FILTER ((?relationship = wdt:P355 || ?relationship = wdt:P749 || ?relationship = wdt:P108))\n",
        "  FILTER (lang(?itemLabel) = 'en')\n",
        "  FILTER (lang(?relatedCompanyLabel) = 'en')\n",
        "  SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\" }\n",
        "}\n",
        "LIMIT 100\n",
        "```\n"
      ],
      "metadata": {
        "id": "1LEUa5_SuW1s"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "If you run this query in the Wikidata SparQL service, you can visualize the results in many different ways, including tables, graphs, charts...\n"
      ],
      "metadata": {
        "id": "O-009BAHwv9I"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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)"
      ],
      "metadata": {
        "id": "s2PVkyJHw_8C"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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SwwvfoiUb/p/2S7uh6Sdat4/fYmxD/HFvJkMjPxWezbUNWrf97q6boa38Ib2rEjymdDmDxT0/uID7Ldbg8aTb8kFDvxd+343058L973/Ohq1+8d878eNzXU9f0te1Z/hkQeM+bVn0qHtj899eQtLZCC0VXv+jazKINuT99X1cn453e+9oq3noVvQ6Hqe9fV0q4y7y24UpoxIQK32newra++D57bJ79e7QzpnIVx3bV0jm9T0R17D/rYEjLzFfR+JLGrv+zoQ8YcSNdj6nM+SA6ETwUTzvfInUT5YTRNC+C7LGns9tsrpi/HMTtVIRERERERERD1O28k2rF33KhbO/57MSoy/Lh6P/+R/yzKo//PeVjWXO8h4/PhxpKeny3k7ggFFn/6C5iNngQFDEIu5SMzsi/N15aZssY1oqTuLXgOHa9PvkJlerUf2IFg8ERfP4mjpv+GTY0DC1+djYEQBHYdYjUkc+k35Df5h6WpMvv8HyJ85DUOybDh/6HOc8JneZtaBZesPo0074N4pw4MEHWfpmXCtDpzWG8JytLQA257xPVR9qmbyp+lN1J8QAeFb5T4m5Gajtyx3qk8OlQjRxbTvgnPvk9j/4v9BlSilOlY7LjVd6NB+qvKsA0bM0h5IVe7UWY0mj/KALr31B9dddtW/Du1Xt3U9Zj/2M6xbp2dgeA8ik8hdCnXdz+/AYLWkp6xvei4rBlPmyauvY1+btq5fPIDH77sF2PeyegkrSm/eL7OuDB98WOkVyHS/AFcZKnXbXC9x11bUAPZBpiyUVux71ZhfW/9ObbqP7LvJj01HVt3rplKR2ryvfggYgU8LfT/nd/RF9mVW+yfTy29T/3xBZX7Lx/U1l8ocBZFJV/snI1ip0a7Zy/u002kJ9pqYz728P6zBhmj6ztzZPvZfH74zZ7aa60r3Od4/cL2pr0URXAL2f2gtqSqfi7YP8bLrXn8LS8x/ECC0VeJ91330LZnx5p5feyZ/KkpTTg8pQBx4e/p91e76vtC8+gsff0Tgiwhedl7ZZXHf+LqfxNB97ynxRwStaD6kRr3oWcspA0N4DkO67q3a/WVMF/dfK+JGTFbf1SI4aJ7ug9f3jvjO6eAfPmhEID1Ou+fecH3/iHtKfQ71u6zu72EEQomIiIiIiIioO3vh17/GsePH8W+/eEYOgwen44c/+l9qqm7ut+6W/y7918flv9+f/z35b6QYUPTjVE0NzscOQdKIbCTEAg211mwx2c9i7EDE5w9Hcq+zaKr9i5oSQFs5jpTtwJfv/kVmpOXe9aiIDfnW6sRp9EXcQJW15vJ1xJojWcn/gtxJqehdvx1/fe4ebPvlbOx6fh4q3vhL8CytjiyL36HxwFltHflIy4pTbcJ4pH1/A/Ju/yf01u6u3mOnI60v0F67B2fUHJLN7nHs2YgzZx3J4weuH3wPYkSfhT6G4Mpx4pMGbR/zkJz8TxiQ3RenK8W5D2DAE8j/1z/hH+4S/RD6cHEXnF9q/xpPTlT2Uy/P2is9H8lxerlTWc5UTfVyrEEegy3FVHpVuhXpD/0Jt/6zdl9FZb+6oz6Y8dhPsWDYl3jjlz/UszACDPN/sw8YNNy7LJziuw9F0wtZFaxrz7zF6yW0Qc/I0oaHboH5SfClvcmjXzmLL3HUCD4Ih77UnkPvl9DDkhO8X1i7tq0HIl2ZfX5LOHZTO4+jUX00swR+v2nqY1HyOG9mXn2ZicFdctPIdvQMLD861ugg15v1Gn6Oow4gLtlzn6LjDxs347WNb6gxN9H2h02b1Vj3opc1XYF9qhypJaAn3YW7jfMr+sgU18TST6Y3Eax3lT2V5U5NgUFFPheO49YMNvkM+TZ54PXuDEnXEHq/jIG3p99XjV9Yvy8ONvn69dEzNl33YKBszSgQ901Pu6eiKZLrLv9YJP56DBMjIovaHJj2xet7RzwPoQSTA/N1z7nvqfC/y4iIiIiIiIioZxNZist+8UuZdfiNmTOwZu1/4dixY2oqZNbit771j/hoz17Zn6L4d+aMGbI9Ugwo+rO/Ag0Xk5AwYTiS0YCWSo/XkrKfxVQMuHkg+p2tQYv7DXVw9f8XFWVO9EqfhuFj/fxFfW0ZvjgDDPzaIvQzXaXe+dMwOFaNCBmpMlOu8ZN/x5mv2vVsOtE+YjxSzfP50pFl0Y7WLdvxxcU4DPvWvyE5wQilVODErgr0umEBbn1oPW6+PQO9z9SgapsRkHXgvMiwTEhFnPm4xn4dA813Y+1fcMwJ9Mu9A8mWKM0oJH/3Ddy2dDUGhHDfXyzbo+1jEgbcPgkD+jpx7JONaoofJ8rRdFrb7g1zkTlS9aFpNuBRpIs3j00N+ovjKO3n2Y/L0NQrA8mzv460Xs2o/5uvcqaKto8ntG0mjLoDseZzln4HBmoX9HRTOc5Hab+6m7j7irHoxi+x+f/+OzZWnFOtfgy/Cz+/70Y0/vk1/Ek1dYjxQlkxAomz7Soo8uKHfoMXUeczUKYCoa/+Qh8X+xNKScluxaOvMcUV+P2Tj4BsFDJufAaWgwS5uooMAG1yB4B6RuBHZdhK7mxhfXAHb/yVsPSyU5Q91TPI9HKnqm/NjjICmpah60tBin4A5bbF/a3+WKAzyxR7BhW7/z0lMhATkDRUjXrxHcD1K9zrLu6/tmyZJRvZ/aeeh2j09xpEd/4uIyIiIiIiIqLoEUHB//VwEV789a/Q1tYmS5qKcZGpKEqbCnO/9Y/y342bXnf9K5b7xowZcjwSDCj6c3EPTjYBAzMygBOfo9mSXqc5sx1NJ4Dkgam4eKwicNabl3aceXcjDp/pi7SpP0JSP9Vs8Xsc2VaDswnjcctDq5E+sQgDC3+D8QXZ1hKjRw6j6SIw6Pa1GD61CMmiH8R/Xo/Jc8egn0cN1vNnnNr/ZiDjrkeRnD0+rGV9an8eVRvL0Nw3Gzc9tAFjF/wSaeMWICFZOz1tZ9ErIQk27Q77YufLaHGdv3I072/Axb6jcMOildr8RUi7ez3G325Du+Ukvon697Xj75uBm/7XBn3/Jj6N4Yt+iRsy+6KtbCNOqAyYgM68iRPHgKTMbPQLVEbU5U0c2bBHu55JGDb3l7htyXrkffvXyNGGvAffwG2L7sDA3s2oeuv/Qq88G6X9bH0HX2j3U5ror7OpAk3aveef2mbcGIz/kX5vJE/9NcZ/bzwSztTg4PsiGBml/epWhmDKzOvxyW9KsLZaNfkTexMe/5dvIemTVfjZqyKlNFKjVKlTo/SpEZjTy97J/tF+GGJQJCiPbMSh1yPOR/adzEixlEr1Y+dqzBcvk2WQovNfZEeLLAUbhtqKjrwsD6NUomLNRhyFwfZgmacdZ2Qq9pwssruwwiuT1FvWN03lhQMSZSeBkbfcpcqdegeOfD4X8hny7YMvtO8Fjz8SCEfg7fm+r2SGWSDqjwFkf6yuEpudwwgq9ox7Si87mjXJnHEt+rBU948sg1yDT0IoExvZdVfbz3vA7/0XkrYvcVB9jISve859T4X/XUZEREREREREPc+cb/0jVv36V9j30W78+OEfYdN/v4HbZnwDt03/Bv7fX6/CN74xA2/+90YZOPz+gvky2Pg/W/U+FTe9/t9yXPS7GCkGFP0qR2udCMBB+3cPzstPZtr0I0700s7gidp3VFsYLv4ete/W4Gy/bOR9859Uo9X5sv+N3Rv24ETvDAyfOgu5N8Sjdd87OGQOvDUtR8XGPfjidBzSJ87CTTPvwJDrHNj/u3/Fx/vPAvGpiFcBy/N/24FDzX2RdNMduOn2O9A3jGX9OX/gJyhb+W8o/7wBvQaMQe7t2nqmjkdafDuO73kTn33uxICZT+MGVQJVOPv+cvxtz2GcSxgl5x8+1InDG5/GQYc+3XC+7GHs/sNfcLy5j75/ar1H3/03/O3dUM/5ETTtPyzv9PbqXf7LiJodexJ/e3EtKg80oF1kN47IRro2DEjQ7oXav2DPi4tw7Jg7Fy06+6nKs2qaPn9TBSv9M7bZcHagvDdumpCNmGN7sOelh13B2+jsV3chshH7oH3f83jmz0EyE2PT8IMninBj6+tY/tzfO5Q1OPmxRarU6Vuq9Om3sMLVl5s5Y+YurAih5Glg5pJ4Rh9sr3tl333w3DbUxt+CRaYMpsmPrVTlTbXl/sOa3bQgLzsqWXxd5tVfyIBKKNr3rehgX3NGidhFpv7TvM+hhbmvNdEfW3wNtvoohRttIujTM4KJGlM/l7V13sFWd5ue9RUKUXZS9BM61ke5U8H7udCDmr6eIcnVP6ope/e+n8LSh2oAgbfn477S1j1b/BFCqWcAXATGXjF9r4g+IhPQHq0szAB60j31wXMvYx9uwaOuMs6iz0ro2a/aeTf3HSgDb6Y/olhQaPpujvC6y7KnsvR1kHKnPqnvc+OaytLOpr5XJz2AGZn6x0CMe+5u416R95T6HMl3GRERERERERH1OIPT0zE6b5QMHk6dcTuW/eJZWfpU+NWv/x1jx0/AQz/6sZxv0KBBqKioxKiRufj6+PFykOOjcuUQiZj0IZmX1OeAnjxch7pr+2HtwIG4rbVFG7xf+D49JBNDz5zB/MYvVIubmNY30w77fePh/KAGzverYf/eePQdYkfDM3pw41jBT+W/Ztd/9Ftc66iT0651HNbGX8XJ4ZPRpg2e0rf8Iug2wnMJl8TZEX3O6Q0e9Om++6PTphklRCXPcd0lfQWq3fc8xnbEBH2qr/nc8xhzBZ7P3B7qsoGJJcT/S671x+GanP+Nkd/MQNOr38cXpsw71/yhHr9g2W9DkH3N/zVuKxyI6t98G8fqVVuIrMfkPju+dXA/NeJ+CO1+Mqhtygn+1h1sv7pe9oiRqDmwX42Fog9m/OhnWDQxTfsUzDm0HHwLLz/7Fnb7jSCLF61LMNZf2VdRUrTiJvWi+n5X0EoE7h4d+yU2i/Ki4iW0KwtLZCtuQ9JD30LKvhWY/1w2Vvz2W4BpWVEidUaTmKaCT2L5SV/ieZHhOOkBrHsoF411QFamyjgR+6BK1cntjqjU5xUNcn7TS3JRwi+UaWEI/xpZdXR5eX5c59eb+br4Is9Z8jYf5f5EAMd6bfTr6s4eE4FK4zqJ6zYb+rXQP9egNjNbBczEdY+sRGaHz08ILvs1NLjuyXDOl+d10p/ZkQeMa+M5LujLGMFM83X0eoYk6/wiy0s+22rMk7z+meb1+t+e5PUd4T52833lda+bnv1wXA33lOezaub+TrB+v9f+6XXgm9PR7Dr/Aa67+i7e73Wf+rrfvPndP89rar7m2nf05gO5mK2+r8z3KjzvW/P3u7bcPocIcnr8VoTwXRaJrri/iIiIiIiIiCgwkXloBBADWf7sM7L/RH9ef/2/sfQnj6uxUFyPOx/8NgOKdKUbhQELVuKGfn/BX15aFjTzj7oGX0x68PsS+/K53IEDF49gS7BAYmfq6At5s654BrrNNTQCPIgsuE2hubruKU934fHHavBMgGBfx4h7eBHwavf5ju5qXXF/EREREREREVHHiaDjn9/7Hxw7fhyz/nGOanV78783IX3QINw28xshBSfdLrHkKV2pZmHgt3+N3EW/RF76WRz9cC2DiUQ9kepXzhguVzCROuJzPPPDaPY3SuTprU4MJmomTcbIiMqdEhERERERERF1rW/MmCGDir9Zu061WG18/XU5XcwXnhgGFOlKFYd+6dlIS+6L5o/XorbsiGonIiIiCo3ITN4oMshfZUCciIiIiIiIiLq/7y+Yj7a2NvzP1q2qxep/3tsmpy+c/z3VEjoGFOkK9XvUPV+Abb8swN//tAnnVStRt7RzNeZ/9+otpddTrP3p/VEpd0pEPYd87vn9TEREREREREQ9hChzOnb8BL/lTI8dOyanz/7WXNUSOgYU6QoWI/+PiIiIiIiIiIiIiIiIIseAIhERERERERERERERERH5xYAiEREREREREREREREREfnFgCIRERERERERERERERER+cWAIhERERERERERERERERH5FZM+JPOS+kxE1CWyR4xEzYH9aoy6o45eI17jwLri/PAaXl14T1Fn4rUjIiIiIiIiImYoElGXu3DhAq7t10+NUXcjro24Rh3hbGtDbGysGqOuJs69uAYdwWtIZvo9dVKNRYbf/T1TNH4TiIiIiIiIiKjnY4YiEXW5+OsSkHz9AFxzzTWqhboT8eK46csTaDvZqlrCJ15AJybaYYuPVy1kdvbcWfTt01eNRZ8IBra0OPDVmTOqJXy8hj1LT7in+N3fM0XjN4GIiIiIiIiIej4GFImIiIiIiIiIiIiIiIjIL5Y8JSIiIiIiIiIiIiIiIiK/GFAkIiIiIiIiIiIiIiIiIr8YUCQiIiIiIiIiIiIiIiIivxhQJCIiIiIiIiIiIiIiIiK/GFAkIiIiIiIiIiIiIiIiIr8YUCQiIiIiIiIiIiIiIiIivxhQJCIiIiIiIiIiIiIiIiK/YqbMuP2S+kxEREREREREREREREREZBGTOii9xwYUc0aNRm11lRrrOhmZWTh4GbZLRERERERERERERERE1NVY8pSIiIiIiIiIiIiIiIiI/GJAkYiIiIiIiIiIiIiIiIj8YkCRiIiIiIiIiIiIiIiIiPxiH4oR8NWHYqLdrj4RERERERERERERERERXTmYoUhEREREREREREREREREfjGgSERERERERERERERERER+MaBIRERERERERERERERERH4xoEgUiXuWYNq2VzFLG8YtVW0e0taI6asx4h7V4IeYb9rKiWosONvK1XK7s7YtQ5pq8xTqtrsLeUxr5qmx8OnHqw/hnEuDa/nNS2BTbZ1vIkZs9n//9FzzMK4j957p2Qp0j/sVwrMZmNj/CO6Fpcsi299O18H77LJfD/86+twHF+G90CGhPT+d9R0fyu9LZNS5lMNl/m0Sz2qXXtNuqkc/myGSx9gdv5e7kQ4+D+7vDG3owH/HERERERERUc/AgKKn7Jl48ufFKFl0o2oI3VR7Ft4enecehtkxVU2DLdU6zdd087hZHzv+4Lns6FTcrybr4vAr0/Q/2Pvozb62KwfP5X3pg6eGBVrO13TTtgWvfc/CU3Ky72XFYCzvdT7FYJwjY71pcXJeyescemzDNa/1XJmHX4X6RmXDCmyffh/eXFWG+IKufWHmXPwA3tS2vb0sJYLATScGsS7jS9r6hdq10M7J3sOqIUyu5R35fPkoXcZgp+nZcqqmsAR7NntkMOEKvh4d0NHnnoElbx37fQlkPfaK+2B6KepVS7hEkKrTfmvFvWAERS53wLOrXLXPpjm43bX//dZpLuN3mfs745RqISIiIiIioisZA4omw+c8gJI5QPVR1RAOWyqK005j02cVuNMYDjqwQ02WTjegJND0gBzWdX/WgFfUFD24lonU+gOu6auQrAfunA2q7QD2nAbaXfOYlg/CvUwFNjnsmOMKKp7DUwe91/0dxzk5VQbuclLRUKcvqw+1eEpONpbVhjqHNu4+PmP5HY5aOV5Sr63cOHeWc3Ya7f3j/QRGRdBwBMafrlPb1Ya2eBUwbMePVZtl3drw43DfmIsXclsOwZZf6BWE0l+oPYADG1RDlImXOHsPxyL3Lu+/CO/sbV+p6heuQqVzKHKvhBeMV7sAz2ZgKvAxe0VkATTyLeLrcTl133vhcv6+XGlkhlVBCipXiXMqhjXAXVdRoLlHPpsRkhmLhYgvW6Wu9X3Yg8KrI4BMREREREREFAUxqYPSL6nPPU7OqNGora5SYx0kMhOnf4GnX/4EMxYVowBbUKx99iUjMwsHPbb72OhJmIM63Fnfrlo8iOy5lLMo8RdEDDRdBAxz+uIdP0HA+9PyAm9bEtl6I5DXcsAU8AvG1zKhtmnEMWUCm4IFL4PMJzIVixNbredGnZOK+v7Iw1F9u6ZzCF/L+OBz3eESL6iKcnB0lXq5K8fz1cvIQ9g7/QmPjAyRbVSEXNPbSmfZKmxfvEuNhU68CJ02vArbjRfeAbYtsjvGDVEjJpZti79yLxiqf8YpVBrHJP+iPw+tZSnIzY/VlinF0eGF2jGY5hHLTmpx74sXsQ7TC8vDpXhz4Xr5UR6HfQf2otC1j/Vb7sPe5fpnr3NmWtZMHGOuI7JzaZDnCeb1W/fbfL70c2o6z+r8w3I9PY7bWabOkX5MCTtLgQJjuuf9EvicjccaVNqL/Jwzj2Ulz2vq+7iM852w07w+K3nNtHtB57neqWjdUoXBBepedB2z4vc+M5HnMhGVXs9PGMzPJszPhpn7nFuOyc89Zj1u0zmXxwSvdbnPa6B72H2+j+UZz6n5vHTkeoRwn12O6yHW71pnBdKNe9FyrwQ6Z25+n3vLcZmuldxux+4Fv/eBRkwL/Gx6HJflegR5fiz77vl9Ida7EFi3AwlFfq51GOQxmn9fjO/4dcB4Yx983MeBr5c6Ph/3mL972PNcu1jWH+j7zMc6XOdUXw6W6+PB835xbVed7+pG7XdRu8+0duM3zLjewe8F635bjkmc77wKbHdMde27+7h87XcIx+KP57MZlWvdOc9msGvtuW7zst6/7548rofp2dOvZRXa8vO16do6twDjxHbUsQe/1h7nzPJdJ7abh2OrWpBrHL9rur7c4GrzcXq0GdfLtT5PHsfleZ9py+6tzsE4r/tMZ31+fH+nyHm0/47zf26JiIiIiIjoSsAMRUPNezKYGKlX2kQQK9NagrNLxGGMXdv9tkDBxGg6hyOnta1e21eNB+BsQw3MGY3Rd8TRiIbEeI9SsX0wNbE/2lvaIg8ShmNYImxohNN4OWoqI+brxU7amiLkOkpdfx0fcUkwTbw9FnAcd28nwLb1jBaRgae/5DK273ppJF7kmbM0tjQit8hc/nMocsXLIpXJIIMbh2MxeGJo2Xxpa/JwTG1Tlr0bUmgt4aiNixeP+rYPIa3AvW3rOdOOwV7YSWXKJsKmPU9OxyHX+IjN5myGUrTlF7n228hoHCf7DdLmne87mGjOhvDMdkorEC/X1XF5ZEcGO2c2bV+McybKjaVNcmfVpK0pRJp4aSiWVfdD/RbjJX7g4wpKu1dysUYtK7YN5M43Z/TEIrdABIrEdO24kI/xxnEFvc+iyPxsGs+Gdm/JF7Vq3980vRgNVrpNf6naCL10oz74enFvns+4F0K5h9MK9Jfvcr3hZIcFvR7m+0ys27hnNZfrerho+yIDTGL72j1uy0euug879txrz15ehVpWHJfpO6Wj98LSZdb7QK7bWiYz0LNpW7nQdFzW7erMz4/1nAT7fZHLFvm51mHy+n0RtH3Rg8BqH4ZMdR13h65XgHvYuBbit1IEOox53IGLIN9nPq6Xy9I87Z44hGN+A3DafVSUjzbXb6b+Pew+Lu18D2/Bdnku9N8web3z3OfcfC9Y7kNNKL+LMkijlnVnEa7HMe18mLcT/FgC8PVsdta17tCzGeRae36fWZ6TeUgXwd4KfwEvz3Xrv13TTM+PLT9He7a0dvG7LwJ48ryI825M93+tbSsLgXVqv9S6Xb+LkrZO43xbnvtdqK8+Bdtw7b9P5HyaeyZisO0Uju5yB/0CCXqfadsaZ9xn2jEhf6H7+8zj+ZHlkFkqmoiIiIiI6KrFgGK0yNKidagRQUXZH5+PIFr/VBSb++wLK/goAnOmZf31t9gFar46rT4Fo5cW1cuk6vsdch+FIWtH+elUzLkcbzbEX3WLPngKhqJ+i/dfa/skXpqKjLYO/gW3+Ct7sW2ZHRelvwa3TcwByta4s0aWl8qXZumul06nUPmW2pazDJVhvrSsX2g+R/rL0PhU08u0w6XuQNzyCm1eY9viJaD5OHfhwM5D1pdrHSZeJIpzWoRclGGPK8g6EYPN49p+V1peFmv7Mlu8nJuKESsLrctqbCunIk07V+Y2T+4gn3ppaDdlbYRxzpy7quC0JSJejnm8ON2wC0edpmWDHlcQG1Zgr+mYrNsWRHaRse/Wl6HB77MoiOTZDGqezM4Ntj53MNE8X4j3sOl61lcc0r72B4V2jwe9Hub7TK1bvQTvDtfDvW/me7yjz/1663ej/E5Jga3DpQ2174pJQ7WvQO25Vy1Y/oT3H1f4fTYVUxDCm/n58fHcB+F1rUO9j5TAvy+mfZPfK7FIGCZGOni9QriH/Qr4faZfr0i/B4zvcPfvnXZficCe6bjqdxp/JHIIlaZjcPH6bXPfh0G/40VQzTinnsu+ZQ1mpeV53JehCPhsdtK17sizGeS3K+0u8Uc9pu+zcCwVVRfM11A7rnXWc4zDO9zPluu6mwS41s7FT5j2y/v3PtBz71y8A/W2HKSpdYnvbZtpX4IJ6z5T19r4PhP3lfne8NwXIiIiIiIiurowoBhV7r759CBalt6PocGzD8WAJUo9efSh2JESnR2UfW1/9Sk0r9Srfa5zIDszD3+wm09Kx73yZQNS47s6M1Q5rP+FftjlxaJAzzL0fAEYOZGNIv66Xr5clEORqSRfFBgvLtVglATz7RBajTd19wxCvMxici9rLWcWLeJlnnZOzRmEImtDZGmYtu1dek+8YBYl71JQuc76gtFnhk84wjpnZvr5cwUIxUtYczZDSMcViBGAVYPPEnVuzoZG9akL7jNDtJ9NeR+eQutBNe7TUBl0xGHxItkkxHvYkjmz/Ikw+u4L73rgYItrvZf/elgzqkQmtXwhH4Xn3giM6YOp3F8UtDUYQYfw6f0Tuo8t9MyuCIUamDPx+/virEK9KShyYLa6ph2+XmHew2Yd/j4LoiPf4T4ZgTlNxN/xGhn4sf7hjc+AZjD+ns1Ou9YdeDY7+1o7W9CmPkaH6VqL7MmI91sEAY0g30SkDYf7D7xCEdZ9tgtO0bW5NFFWbRDZ8+7lo/tdSkRERERERD1LxAHFmGt6I25AJhIGj9KGPFw3KBf9rhugTYhRc1zdXqmvQw36w36taug0Z+E4DWR3WUBNL7Ha/tVZNR4GZwM2OUIslxqOc22o6J+Cp1yrVWVZvUqhRpl44W/+K/suJF66Ry1QYmIpJ6eGqGxHliETf+VuWu9hNc2noUiwmYM3h9zl6owh5GBLKMTLUndWj4X4y33PbZuvuzw26EFFj1KRbQ7fpTNDEvY5M1MvBIcU6i8Ai3xkbQQ7rgBkuTuYlreUlfNmS02xvJTvtPvM0BnP5objIbxoFvepXk7OO0jUefdwuNdDvpQ3vTjvvtcj8nMmMkX1/k2NZcPM3ArCmjGov3QPh16CWt8vUbKxU4OKYQZJIv99ifx6hX0Pe4r0+0wG14Nk5HpkeMrvsw5Rv20d+o4X9Cw3+Ycjotyp5x8yhKInPpsR/3Z5/KGNL57Bd/FdqT5GxvjvGL10riiJbuyzv9La/ohsY5kFeo/I0jQHe4MI+z7Tv8/MfzRhXlYf/Pz3EhEREREREV3xwg4o9olNQOqNMzD01n/CwLwpSM4epw1fw/UjxmPQzQUYOvFe2LNuRq9ropuF1uPY4pGN03B8pcY7zTk81aj332guJzrVnmrNjoyKPnhqWCayTzdgleOcagtHB4KRAYlzcBp5ie7MSZG12N4/FUXmbEhbalRLrup/YW8NIAUlgxLul5f6izX9c+hEv3zatiPqF0sPNPl6oSZfVpn7zYk6U4Bw6bKAx62XmVMvzFQWRqT9gIVEvHDTzqnXS31Rsszm2c+R2UTVb2Ip6peLsofW/ZRl+zz7KgpL6OfMQjseWVrX9ALQVYZNCHpcIXAFCPVz4P/RUqVCVfZd599nQZ5NEUCIqFybniHi2Teht/XYK/ugMvXr1RX3cMjXQ5suSnZWa98F2thlvx7+ROOcmQJpsk9R9dklontBlSp09WWn8SqVGA5TNnbUab8VBe5rHZoIf1+icb2C3MPiDzR8ltUM+H3m8ZungisuG1ag8rA23dTXndz+GtV/oyy9aurD0vg+81XuMgTyPrRk/kX4Ha/I8pNDpmLapJTwMtaUHvdsBvntst4jehDPfb/opVnFH9qYf5NtK5fp33+yRKm5H2P1XRluGVnF+1qbgnTafTg+3MxKUY5a9Ls4PwdtYd9/Ydxn6vtMzxxXQWvL80FERERERERXs5jUQemX1OegrkvPRfKwsYjpdY0cv3D2DFqPfY6L58+jT2w8rkvL0abpMcrzZ9rR+PkHOHPyhBzvDDmjRqO2ukqNddSNePjnBchUYy5Ht6D45U/UiC4jMwsHLdvth+fHjcN4SyXQ09hTVYunjLibLRVvZ3qkMIgSqEbp0kDT+9jxh5xUWHMQRQnUBryixjyXb68/gO9Ygn4iGDgCeS2e7YHoy1iOy1FnKtXqY7rG2PZUexaK06wTvfdLI/cd1uPR+Freek764h3XMnH41Wg92Ok6p57nzbLvOrmNxFb3MmEQL+L0v7K3loXT+1DzfFFkmk+UnjJeaIr+dhxTMR5rrAGfgMQL30KkiTJlHn+VH3TbklpejYnsJNe2zfsmGcuKZaaiddUDODBMm2dSC7bPXoF47RzkOtTyXstqRCaBylrQz5feLNorHfkYrJb12m/TcrqJGLHZWorRvd/W4zFYjisY8ZJZZQ94L+O9fvHX+nuXq30SWTXGvqr12MzXxmjTx0zHpi+fsNOdDSTPg32Ha9mg58w0r76dRFSqa21ZVrGeE3/HJT55n2/BNd3jmOrLyhCfb2w70HoVv/dZqPdwYP6eTYN1G8Z8vo9ZlgM0PWee59V1bPKY4N6mcYyu5QPdw973glVHrkeg7SqX63p43LPeAu17sOfeOt2pnZO2/Bz9O8z0gj/Se8G6nCiX7F6vnOb32fSxbss9JvZbfdeq9YnzZ3zPBr4eIVzroNR587jvJXGfqO9+38GMANv3uscE03kLeA8bPNbvdd78fe+Yp2nnalULcucDe0zHYX2urdfTc9/c51TfH/ncHnRf4zbT9fe6Xh6/bZbtenzHe59v73tDkOuwe/5mhsbvs9mRa+3jWgjReTaFQNfavF/iOu5AQlEejpmPz+NetD4jHuv2fObldT3k/7oHuNaex1NZloJc1/eE97U1P/cGfR2effRqfD1fpu0Hvc/8fP8b/N/H3veB5Ov7g4iIiIiIiK4IIQcUrxs0EsnDxyEmxp3UeNbZjON//x9cPPcV+icNwsDRt6HXNb3VVOD8V6fQ8MlWnG1vUS3RFd2AYui8A4pAot0jGEhEdLn4CtTIthwc9XhpS0RXClOAy2dgmrqaOwjVecEVX4En6npdca27YhtEREREREREgYRU8rR/UqosY2oOJkoxMTB6TNS7TrT2n9j72lgMyL0V1/Tpp1qIiKjT+ej3yTYxR2trhJPBRCKiK8NSUb4y0nK71KPcI8qkIqLStkRERERERETREjSgKMqbJg65Cb16e3fI1zcuEZkTv4Nht31P9qvY6xq9FKpZ37gk2FKz1RgREXU6oz9H0ReaGnyWSSMiop5HlKkU3+0FKahcxe/1K5qoLiCudVE+2rawwgARERERERFdXkFLnvoqZSp81daEC2dPqzGgV+++6HfdACNV0cJcGjWaWPKUiIiIiIiIiIiIiIiIqHMFzVAUQULPYKJwsv4AGj7d7hqa6z7BxYsX1FSr3v3i0Lf/dWqMiIiIiIiIiIiIiIiIiHqKoAHFa+M7nnkXc00f9IllQJGIiIiIiIiIiIiIiIiopwkaUESM71mSs8chbcw3ZKnTYGJEGVQ/6yEiIiIiIiIiIiIiIiKi7it4lO/SRfXBSpRBvab3tT77TPR06dIlv+shIiIiIiIiIiIiIiIiou4raEDxqzaH+hS5SxfO4dypk2qMiIiIiIiIiIiIiIiIiHqKoAHFMydP4OKF82rMTbRdOP+VSD+U45cuXsCFc2e0Ue9MxPNn2nH2NAOKRERERERERERERERERD1N8IBi6xf4qq1Jjbk11exFffn/4OL5s3JczHfkw9dxurlBjhtEudO2xlpcPPeVaqFu67GXsOPdUm14CcWqiYiIiIiIiIiIiIiIiK5uMamD0vUUwwD6J6ViYN5U9OrdR7UAJ6p2o63+gBpzS71xBmLtg9SYKJnahPpPtnZKQDFn1GjUVlepsSiYfC9KZg5RI634eN1qrK9RoyYZmVk4aN5uvzS8Oz4J73zWgFdUk9THjj9kAKsOfoU5ozOBugr82KmmIQ6/MrXdn5aHOXY1SWnXzu93HOcAWyrezjRPPI09VbV4SpskeU3XnG5AyUEHdqjR4B7B2nfvAN4pxILnVBMRERERERERERERERFd9YJmKAoi69BR+7GlnOl1aSOQesM0r+FaW5KaAzj/1Smc2L+rh2Qn3oiHZwJbflaCYm14qRy4ef69mKGmBtcfGe54a0REAPHOzypcgwwmGkSAULWX1APjc1Jxv5okmabLIaxgomZOKpJxBJ8ymEhEREREREREREREREQmIQUUhZPH9+PLAx+5+lO8Nj4ZscmDvYZr+vaX08+dOomGT7bhbHuLHO/+PsGvf/Yatqqx6vKDaEMCBmarhkDOnIa10KtybV/EqY/RtOPsafWJiIiIiIiIiIiIiIiIqHOFHFAURInTY/tKccpxXPaN6MvF8+fQcvhTOd/Z9mbVehURZU6H2TFVjeL0V+FlCobg/ni7tt6z8FGNlYiIiIiIiIiIiIiIiCiqwgooCudOtaLhk6049Jff44uK99FUs1cb/oYvD+zB8Y+34NCu12R51IsXTOU6e5wUzJtzM+KP/tVnH4rezsBxuj/s1wJT4xMQ1z8BU32UP83OzMPbo40hE57Jj3FpI0zT8/Arm5og9E9FsWqfgzrvkqam6XJICzM3MssOm9OBw2qUiIiIiIiIiIiIiIiISAg7oGi4dOE82k/UofXo59pQgZPHK3Hm5Altgu/MxZ5kxqIFuBkf46WXP1Etocu+9jQ21Z1GXnwfTO3bH+1fnVVTgJo6Ux+Hn9V5ZRh69qH4Y6eaIBh9JNY5AHu8tf9EwbMPxfp2NSGIOc/irXdLsSOvAlPn/ASvqWYiIiIiIiIiIiIiIiIiIeKA4pVqxqJiFAw+jC0l76FatQV3Bkdkt4ZxGIM2vOJsQ0NivFcGYlQ4m7DntB132H2kQEZi009w1+2FmFqRhx2bnsW9qpmIiIiIiIiIiIiIiIhIYEDRxBVM/Nlr2KrawpGakoJUmZF4Fg4kYMy1ent0ncNTjQ7EpSV7Zyl2RK0DTpsdQ9QoERERERERERERERERkcCAoiF7Jm4dLD4MQcHPi1FiDItulJNDEdcfqGgTfUeew44WbZX2/mg4G3pfkp59KP7BXxaiylKcY+4n0bMPxWF2TFWTiIiIiIiIiIiIiIiIiCIVkzoovcd2epgzajRqq6vUWNfJyMzCQY/tJtrt6lMPJfpS/KEdf779QZSoJiIiIiIiIiIiIiIiIiJmKJJuUwOaYEfaHDVOREREREREREREREREpGFAkZQXsOAdB8b+sBQ73n0JxaqViIiIiIiIiIiIiIiIrm4seRqBK7LkKREREREREREREREREZEPzFAkIiIiIiIiIiIiIiIiIr8YUCQiIiIiIiIiIiIiIiIivxhQJCIiIiIiIiIiIiIiIiK/GFAkIiIiIiIiIiIiIiIiIr8YUCQiIiIiIiIiIiIiIiIivxhQJCIiIiIiIiIiIiIiIiK/GFDsNuZh3LZXMUsbpq2cqNqsbCtXy+njlqoGf5Yuw6zNS2BTo1GV/TjufnoFstVojzHnWbz17ksoVqPhyl60EXfPnazGer7iV/6IlXPUSCe50s4ZdaHHXsKOd0vV0Pn3ak9gfP/P2rYMaaotPOo3JszfBrndzvo9oYh0/F6IjNzumnlqrGe5t+SP7u+UTc/iXtVOREREREREREShi0kdlH5Jfe5xckaNRm11lRrrqBTMK16Am11vTVvx8brVWF+jRk0yMrNw0GO7iXa7+tRR4qVvIdIOl+LNhetVm068zJuWH4v6Lfdh73LV6IsIKE5qwfbZK+BUTVEjAooLkvDpk0tgnBoROLrB8Tze2PiBaglN0tx1KBwTp8aEdlStnY89xoqnrMB3Z2apEc2Rzfjty2vViGEBZjw9G6nOfShd/gyaVaun4ldKcZvjP3FX8SbVEh7vY5yM8UsfxXW752Lr+6opJGp/1ZjkeVyW47aeE7EfEzL0z2YN77n3wzKPx3kR5+GGikKUpr6EW/76IOrv1McXPKdmiKJw7wvr/WA6bnnPjfUOaJiPzXOeUKep65jjtXL/2zefazPjvPub3q34OKfOct/XKtBx6dM8nlsz4172+ewGIAKKtzrw4pyf4DXV1Pk69mya+TtnRrsU5DvLH/13AKhc9QAObFCNQtDvffXb4iwL67dBbm94Vef8nnRbIdwLhgD3eNDnw3gOo30vdBK5PfsOr/826VEuy3cLEREREREREdGVgRmKLo1YX1KC4p+p4b1W3Dz/XsxQU7vOeuxdVQbnkKkYcY9qUpyLH8Cb04MEE3sa8SL1ybn4rRjea0TOgnUYb6Q/vr9Eb5fD86hKmm3NeBMvcp++ESfL21WDP4/ghowj+HOEwcTOIAIN5uP67qIFasoCzJgJ7FbHXVoO7Zy4M0JrXjaWU8PafXCiHSeP6dNFUG5Ckvuc7m4ei0LXuoGS+wvxaV4pHhqTgbE/1IOsnRFMDJceTGz0fdw1z+AN1W4Mu49o7c1H1Qt47ZwtGInja43p2jnFWEwx7hWP5a3n5APsWe6eJof3arX2RjhkAECseyycxvXSzrdtpukeNWj34oSkWjT0qIiLCHQYx70ZzjGPemeU+j0uEXDZiKEOcf/5I+7lFDQcCfZ8di+RPpsufs5ZsGczVOJ3YO/hWOTeFW6mmPbbov1+vHlVBQY7xv+9YPB3j4fyfEzG+Lnad8sR8X0TmcjvBSIiIiIiIiIiovAxoOjP8Sa0qY9dbsNxbduxSBimxk3lUGdtW+0VaBRE5oA+XRsKhqrWYER21kbMmKJGXcTLUFPQRAbuNuqDKatJvCAXbSLjxjbmUfc8ni9dRRaG1h60/OX7b6DKGYdB+b7m+wAOS/qGto8TmlH65BJUqxZ/7i2ZhMwjFShR4/J4lj6OJDVqkMfj2nf93BjH5Moq0oisk+8+rWe1pc50z+N5fPr58RF8svgAe3bXAhk3qsDEWmw1ZX82l+2HEymw+1lHUv5I2I5sVdkvCzB2TBwadrszXWq27YPTtW5vTQ0hBlk7eM5cfN4Lar/fMx33xpe1eyELN/i8ZxZgqMj62aaygbIHa/ekEQAUPO8VK4cjcIAre2QWnOVvyH1JmjtDZr/uM7LMap7Bp0c871ERVMjSzvsbOKlawvMI1ooyfK88osZDJK6Jdu6N59DXPSj3TUzzCoR4Wot95e2wZU8xXWP/x5W9aAZOrp2LrWWqwYfsRbORqt2b+xyqISrEPSaeKXVccvAM6pmn6YPnd5z+DAcr3RzJs+nvnIX/bAbS5jgF2Afp38X3LME043vflq9/loO7HKbl98FPyUrLPNrgr7R22hrP6RMxYrN7Oev69WliXmM5X79hejnKcEvbiuusXUP1nSKvted3lPm3Sxt8/QZFdi/o/N3joTwfSXMXIQfad8t+1RAhy72gWK+lqSyqyGLV2ryunaWkrcf19FFW1X0tPe8Tj2Ut6xX/HaOty7hfvaZb12sM7hLwge4zIiIiIiIiIiLqCkEDiv0SU5GSNwWpN0yzDAmD8xDT6xo1l673tbG4fsQtXvOKNjGtJxk+Zhjij1ZgqxrvUvcMQjxOofWgGjcyS6aXol61WCxdhmn5jWoebdhySE0IRg+82Ab4Ctoo4mXtzBR3JpPMiNM1b5yvZ9ocgSyXqGdyaEM4pQ1DpgeRjpcZJRnXYmtIJeIeQeEYYN/bL6hxzbFmOG1JCFSkNnvRo8hp3uw6JpkRp+hZgs+jSjsR7gyWuWGXfO04EaSAO7AmubMVpZqjlqCHUfL0xfIj2Pcferbi2sf0aQF18JwFJAOCtThkKaep7k27K6ruIoN8riCqpuZ9HHdmYYIRTJiyQpYZdN8rZpMxPDsODfv93KPa/X5DRi0+NV9LVyakTgQkzfulBxU2X54ypxmzUWjfqp9z7dnEmEVBAtihC3RcNS/7KeFokNegFrs75bsgDjkL9ICNfp9p194S1J4Nm+v7SH9Ou0rgeyHwsxmOeLv2e+o4rn8Xb1iB7cb3vihnavwOTH/C9XthZLdvLzulWqxkKUvzb4g2+MqEFwGfcXZ9G8b0tDVFyHWUquVWodJe6NUPcFrBq9o8q/T1RjWjTrv2sgS3utbmzGQZ3DX9dmlDVL+jA9zjQZ8P7Xtmivju3hh+mVNPlntB8Pjvge1lKRhnBO6WPyHvgbQCPUhoW7kQuTCXwBVBO/P1FIP7PpKGFLqupVzXJHdQ0LayEFhnLKfdC8jHeMu9MBTjihJRKadr/z1jy0euEZDU9nvckENqv7VlxQ4dLsX2xbvk5FDuMyIiIiIiIiIi6lxBA4qJGaNhG5CJ2OTBliExIw+9+5n/thyyPT5thNe81w3KQX97upqrO7sRD/+8GCXa8OAY4ONtn6j2LmL85X5RPlC2JsQ+kSZixKShqN/i8dIvRO5sLVO2oinjK3v6WKD85cAvR4NRJSeDvcyVGRs2azDHnX2lZ4KEvR+P5SHTWY0PzYl48kW+IjJYVCDKbo+D03FQvuwVQaWOBkP0gGuQF8vypbc7I85KuyZzx5oyEK28AmtYi0NH4pAz3Z2NJgMc6rMgSp6KEqdDVJ+fxnhQ0Tpnvu6F9CRLlkpgvoKoetnS0pqRKBT3iixL6XHexT7L++hRPSvIT/BPv9/d10JmoWXMcAfpZCDA1O9nVO6VF7Dg9kJMvd8U9A6VKBlsbFsGVuNwneWrVmTVzQ0e5FfH5cqg69BxaffthCxLxmm0Nbznvr41+2u1h2GwCibfLa/v+0G+a/Q/Cgi2f2E+mwHPWfBnMxSu7EAReIlaP3bzkCv75g38G+IKJlpKps5DumVfduHAzkOwDZ9ofaZNgaH6ikPaF4c1o+614m9j6u3fxuKwq1KLsr3GdfwA1TXWYL8IPvvOeHeL7F7o2D0ejd9Vf/dCWp71vweci3eg3paDNJUVqpdJHYrclUu06w5UrjNdz6WFyLUFubdM19K5qwpOWyLi5ZhY9xOm/27ZhfrqU9r1MFdMOIXKVca+rcexw0B8qh4UFPuNwxVqmr6s+z4J8T4jIiIiIiIiIqJOFVHJ04vnz+JE5S6cO9WqWnQnj1fh5NHPcenSJdXS03yCXxt9KP7sr7DPL8bDgd9FRp/KMDFe2HW25hON+gvY7Cm4rrkWMLIVnc2IaqVCf2xj9SCQNuh96Flf0BpZkGIodczwWXbTvzlYeWsG6v7yE7ymWnQHcdKpZwZljwQamt2Zd84TUcxgCcBdKlXPpvIVbJUZfzAFjCxUCUWPTLualzejIWO2WvdGDN2vjVvKgepK7g/35X1nn7PQMrX0EqT7UW05Hj0YbmTqlZanYIJ27JYyl+b+OHcnafecjxKHMiDkkdlY8wzel33lqes1F/i0vF0PoqqgkrMTA2eRCJhxbCEy/dRxqX4i9cy6jh2X/MOA5i7O2AySPRuOyJ7N4Ocs1GczmPotIkMrsj8g8ckrI94HkUk2RHvWq3eZgokauexQU0lubfBRcru+whSgWv5E5/bjaASXRTBdZu0a5biDlTX15u9e6NA9LjIbk4IHvUPhfS9M1H7PITNCXddjW6FXydL6haVoy89HvMcfLtlSU7SL3BJ5uXdzOVNtmJYfemUKWbp1SJ7a14lIGx7rvt9CvM+IiIiIiIiIiKhzhR9QvHQJjtoynGo+rhqsHLUf47SfaT3LJ/j8KGAfkKLGu4AoXdeZL1p9EaUskwYjO38ksP8NnLRPQZLIGPMo89hpRIaVEegJkiUis8XCCRzMGY8c2xF86pWBJ8ppikyuBRia1Cz7sBo6ZTLsSR4lCTtRsFKpol8vWU7PT1lXr779XFRGmhq2HhsMW1SCw514zt7/BA3wzKwT69bOkyVg6t0PnSSy0mzuzDARhC4tb0fqBD/BZ7k97wCmyBrylQ1qDmr/VrseEFmZIoiaPQWDbOagw6PufjXDCnxHV+gBXpHdZbpXjHupQ8ell5QVpVj1ZcUfChjjwfoT7YAo/gFERM9mSOes489m/ULfpUg7RPbZG4T4Q5dVZUB+kY++FQ9ZSqXKoat/x8zMv10qI1qcb/0PDcILKvq+Fzp2j4s+Ws1/SPPdme5x7/6M/Qt0L+iBRvPwgClwKMqaFgJbRFDRej2dDY3qUyTmYZysrqCXQxWDvxK7vujbNoKGRbIU6x7LH1Z1s/uMiIiIiIiIiOgqFH5AMSYG9qybZSlTL9q05Oxx6J80SDX0YNkzcevgVlSXd+QFW3hEP1aztq3GCFWaLDS74HSIcmGqTyqRIRDBX+7b7Y049P4HcGAkxo5MURlYqr+47CnqhfgCzFgw1qvEmHUeH7Ifx91Pb8Tdrr6tIqMHfD4JOWuq+M4xQPk7KFHjXgZo93DN+2g+1gzbyLtxnU1lC8nynlkYql7uirKrEzL0z256H3+pI90lDD3p5VrDD6K4AhZ+A6x+AmuexHlfMBLHo9BPl0uHzpnG570gykFq59IUADTK35r7VfQfRBXMAUL1wt9PUNxnlqPKTrSWUvUmrw1UZpIpWKEPpn41Q+rf0/AI1r5bih2bnsW9qiUSvs6ZfGZF0MLVx2AIOnRcevlZ97IikNMOHBF9awYr/xsJVYpS3JNiVPb1OVK7/nKinkno+YWlEdcxkow1v89muOcsomdznh5sWeOn/8GDLdqxu0tbhk6UnoxF7nx3X3g+iT942XIIaQWm36gNu3DUORTj/O1TiO4t+SN2aM9ASP25+qOdU1m210//qCIb35fw74WO3eN6iVXT8F4tjD+sCT3j0d+9oJcKNfpI9MXoN7Fy+XrsldfTNO/yCtmvobXfw/C0NaggoPbfIuNDzlA0Srf7CRZG6T7rkMdekvfojlceUQ1ERERERERERFefkAOKoszp6ZYvIMqZ9urdBym5k6xBxZgYXJ89HvGDcrSPMdr857T5G+T8PYO7/0Q5zB+G6nWrsT7qL8AjsHSZKvMlSpfFIrdIfHa/1BXly+qHFOrzFCWiclVZ6H+1LwJBtrHIgR6oq9nfiNQMlYGlad74MqpgZFPMwMm1okyflXWeMIMXAbj7T9QHEchx9wWnl7kU7TI7xMj4cGUDPaIHiP7qu66nCIKmjhmJk6K8peh7LikLqa5sobXY+l6tK9tIlNKUL4w9eJYw7GjAVJKBLfEhS5btNNZtPqey7zU/gTXLOVuQhE+jGMSJxjnzp+bl5y33kFf5WyNY4CuI+v4SbVumsqQiO6zZdK+4+k9U687ej1JLkEcvV+m7r0oVkFPDDY7ng/dHGLYjaBIPrG04bpmjt4QsSMngzuK6z+QfGBilUzsxA9GDOxPQoyypR4naGxybZWAvKkJ4NgPpzGdT2rACe8qgfh/EYASKREaa3iZLUBq/FabgjMx2c+RbylV6ZyJqlj+B7Wob02TQaRcOzF6FSrtapxr0aaF7rUH/FsnMCzdY469sr8bjuf/uzBRTf4ud63I+H6KPxO1lKdbyoJv1YLH4o6Vp5n4Tl5eiUgTqXPfKeuydrmcuuq+n/+Ck1XpUlolgplpO+2+RoyFnKOp9IlpLtWqD2u9o3WdERERERERERNQxMamD0gNG/FJvmIZ+CSlorPgAp1rqvYKGjZU7ccpxzHd701EkD/saEgaPwomqv6KtIbqv8nJGjUZtdZUa6zoZmVk46LHdRHu0evCiaBAZLw/Zd2Lq/S+oFuoRRBBgJrosMNZdFL9SijuTyvHiHM/+PgMQ52pCs0dw9AohsoFudfg4H+IPCR7FdbtDzeYKd366LOY8i7d+OAZN7xRigVeJan9EsF/8kUtnZL5S1xJB7yIk7DSXcdXbBlevim6f0n6/W4iIiIiIiIiIKJigGYpffP4BDn/033qfiZcu4cuaPWg7XmXJVEy76Rs+g4lC08G/oW73RrR9oZfQJOoKrxV/m8HEnuj9Jdh9xJwBFn5Zyh5FldELO5hIdEWYg5WbSrEj7GAiXVmGIsGz3u49EzFYa3OVUCUiIiIiIiIiossuaIaiTx7lTQ2ewcTOxgxFIrpqXekZincYnXC2Y99/fBuLZfViZiiSgRmKVxRR2t2j/2fRp6I7Y7FjZNUCUR5dcPIPOIiIiIiIiIiIIhFZQFET0+saDBw9FbH2QXrDpUsyG7H16Of6eBdgQJGIiIiIiIiIiIiIiIiocwUteepTTIzsG7F/Uppq0GhtSZljEJs8WDUQERERERERERERERERUU8XNKAYc01v9OpzrRrTeJQ7FWVOT7d8YelT0TOoeE3f/nI5IiIiIiIiIiIiIiIiIupZggYUB46ajCFf/0fEJg3yGUwUfSbW//1/0Ha8ymdQUWQyZk6Yi/iBw+Q4EREREREREREREREREfUcwUuexvRCr959kZI3GWk3fcMrmHiq6ajsP/HLmj1eQcW0Md/AdYNH6dmJ2nqIiIiIiIiIiIiIiIiIqGcJOcongor9Ewd6BxMNPoKK/RNT5fxERERERERERERERERE1DOFnzZ46RIctR9bg4kGbVpTzV6cbj6uGoiIiIiIiIiIiIiIiIioJws/oBgTA3tWvt6nog/2rJvR3880CmQexm17FbO0YdrKiarNyrZytZw+bqlq8GfpMszavAQ2NRrUPUswTW076LrDlLZGX2+g4+oYdd7COd4OE9tcjRH3qFE/9GMPPl+4jPtg1rZlSFNt0eG+Bztjv8MS7j1MRERERERERERERESdJqKODUX50wG5E9EnNkG16K4blCP7TOzxZU4n34uSnxejZNGNqqErrMfe6ffhzemlaMsvwqw181R7F9iwAtvFtleVIb4guoG/+oXimO7D3sOqIVwMLHlxLn5AntPtZSkhBTZD574H61VLuEQQtXMCxxpxL3SXgCcRERERERERERER0VUkaECx5chncJ6okyVOzUPLkQqcP+NUc+lEe1v9Aa95Tx6vwmnHMTVXd3cjHp6ZgLqjrWq8q63H3lVlcA6Z6hUwMQJJe5erhmgTgcUth2DLL4xy5ltnUkGw2StgvRsvPz2Y+gAObFANUSbuh72HY5F7VxcGny8TmZVZkILKVXqA+s3pa4C7GGgmIiIiIiIiIiIiIuoKMamD0i+pzz1OzqjRqK2uUmPRMWNRMQqwBS81/QMeTP4ril/+RE1xy8jMwkGP7Sba7epTNIjSk4XAFiN4qI/rQb5TqFzlHaQSAZdp+bFqTOMsw/ZIgmyi/GlRDo4a25DjiaicXoF0Yx8s656IEZuLkGtEdg6X4s2F69WIm8hcy3WswvbFu1SLIrLOCoaqEaDeOGa53XwfAaND2Dv9CZlBZzlmH9v1PCeudWvEtPFYg0p7EcYN0dvM072Oy7Rd/XpMReuWKgwuUPtoPieWfTcvJ4j1LgTW7UBCkXFNPecJnTzG4VXubYvzOakF29cB4419sJybUK6XOr6g95n7XvQ81y6W9ZvvY3HKrPeD1zpc59TzefDB835xbVed7+pG5OZr95nWvheF8pob1zv4vWDdb8sxifOdV4HtjqmufXcfl6/9DuFYiIiIiIiIiIiIiIi6mYhKnl6xJt+LgsGHscVHELFL3TMI8TiF1oNqPFgpyqXLMC2/Uc2jDVsOqQkRGJYIGxrhtASShkIPMKl9sOUjV/W1mLamCLmOUpU1tgqV9sIwSl7Ow7i8CrWsvt9pBapfQKMMqzgWEVgy5jEF3tylP0+pFhMf5yStwFom05Yv9n2Vax1pk9wZb7aVC03HZd2uLha5BSLQKqZZz4m5hKzvgK62bJFxPu/D3sPa+Y2wxG28PRZwHLduR9sXPQis9sGU7dqh63XPEuRijVpWnDMgd75+zlzZs4f1gJoxjzWQWYh41zS9tK+rz85A9/DSPO2eOIRjfgNw2n1UlI+2LWpZcT2GmI9LO9/DW7BdnotCPbAtrnee+5yb7wXLfahJW5OHY8Z+qXVb+hoV27LvcC3rzvBdj2Pa+TBvJ/ixEBERERERERERERF1PwwouqRg3oQhqHvvNWxVLV1OZFmJ/uGK8oGyNSGWypyIEZOGon5LZBluLiLTSmy7wPe66rcY2Wp6kCQ+VQRr5iF9yCHsdQWNduHAzkOwDZ/ozhQLaL1pWc3yCm27KbB1uG88/Zw4y0wB2OVPyPKggyeagmeHS10Zcs5dVXDaEhEvx5QhIvjjj8jOM86T+ZyExn0+tc8VhwD7oBDPmU5kfIrrNc5y/g2mfduwC0edsUgYJkY6eL02rMBeU0ahz3Pmzz0TMRhl2ONafj0qXUG9jt3DtpVTkeYsQ6UrSKfdVyKwZzqu+p1GRu0hVJqOwcV0L3jeh/ULzfvl41qLgLdxTj2XfUsEMd33UVqex31JRERERERERERERNQDMKCoDJ/zj7i5ZQt+/YFquFxUNp5XadCuIEo5atv2LsVozagSfQPK/ZOZlCJ7UQ9uGQHJcBiBMX0wlZWMgraGyM+h3j+h+9hCz7qMUKiBORNRltM7c1LjrEK9Kxi9Cwdmq2va4eslsgxNy5pLjAYjMl9F5qRp2z5LpEbKM0uzw4wgrMYItqvBKIsaEhnQHYp0mdGoB3R9BjSJiIiIiIiIiIiIiLoxBhSlFHw9OwEYXICSnxfL4cExxvgDmJetZutsolRmJP0eRsPyJ3z0pRcK0f+fUQ5SDSEeg+i7TmbYuZaNbuaWNWNwImxhdnMpAqfGfonynJ0aVHS2oE19DIXYt8j64Iv8eslyqTCVn/Vb0tUPS+laNYRyzx1s0bZjBOX88MjwtKWmqE+RUiWHRdawzNp177Mo6xq6XaivVpmYotzpYZHBSERERERERERERETUszCgKDVifUkJin/mHl4qbwWObtE+r8b6GjVbJxMBtlnbrP38BbcLToepnzYVAAmXnino7jcuJCr7KtL+/yRTIC1tjY8MRRFMsuUgLcxzIoI47r7sNEsLkWuLNDvsEFo7Lco7D+O06+Ws1q6jaglOW0Zky4V73qNxvVyZgBMxYr53hmKbQzvvvkqoilKgtnyM9xmUDXIPb1iBStEXoalfQ7n9Nar/Rll61dSHpXZ+cvNjTWVOwyPvQ0uWp6k/06XLwstQ1DgX70D9kKmYNikFlW9FELR/7CXseLcUO155RDUQEREREREREREREXUtBhR7AlfJRREgi0VukfjsDjzWLyxF/ZBCfZ6iRFSGmzkWMVFOcxUq7WrbanBn8qnAlzaIIIwtv8gyXQZaTGUwcx1l3tlbG1ZgTxnUMYvBCCq5y2/K0pnG8atgmShZur0sxV3esyDF1OdhMB6lPbcVaftm6mMvCD0wrC0nS4IaJUatwdq0AmPdhYgvW9VFJW6DXK9g95nsD9BYtggJ1d73mXPxGlTCVNrUFbxcj70q09PYrhjGqSBgsHtYZmSaStDO2rYQeEsFDEVmrzZ/vMc5DSuD03Vc2j7Zy9yZwjKYaZwLbZjUIoOb4RH9LsZq94I5SElERERERERERERE1HPEpA5Kv6Q+9zg5o0ajtrpKjXWdjMwsHPTYbqI9zHqadJUSwcoiJOyMtGQpRZsIAE+z74iw5G9oRAZwrqOrAsdERERERERERERERNHFDEUios4ky6RGWm6XiIiIiIiIiIiIiOjyY0CRiKgzGCVkwyq3S0RERERERERERETU/bDkaQRY8pSIiIiIiIiIiIiIiIiuFsxQJCIiIiIiIiIiIiIiIiK/GFAkIiIiIiIiIiIiIiIiIr8YUCQiIiIiIiIiIiIiIiIivxhQJCIiIiIiIiIiIiIiIiK/GFAkIiIiIiIiIiIiIiIiIr8YUCQiIiIiIiIiIiIiIiIiv2JSB6VfUp97nJxRo1FbXaXGuk5GZhYOemw30W5XnyI1D+O2FSJN++QsW4Xti3fpzVFgW7ka0/Jj9ZHDpXhz4Xr9c5ebiBGbi5Cw8z7sXa6aKIjJGL/0UVy3ey62vq+aJL09x6ZGj2zGb19eq0YitQAznp6NVPm5HVVr52NPjRwJgb/9DFH247h7wVjoh1OL3U8uQcibFu5ZgmlF+XL5+i3Rvb/S1ryKcUP0z9F+NsPD5yeopcswa1ILts9eAadqCkf3+a4kIiIiIiIiIiIi6l78ZyjGxMCWkoWUvClIvWGazyF52NfQp3+8WqDnm7GoGCU/Nw8PYF62mtjp1mPv9Pvw5vRStOUXYdaaeaq945yLH9DWex+2l51SLWESwZpty2SwM/pEkORVzNqmhige95Usae4i5GAfSp+ci9+KocPBRGEttsr1bUaDaukyNc/gDbHttfsiCgRhwwpsF8/PqjLEF7yKaSsnqgkdV79QPJf3Ye9h1RAuEeTavEQFS6NN/CGC+/mJ5nFfPuKYVmPEPWq0C3X4u5KIiIiIiIiIiIjoCuU3oJiQnosBubfCNiATscmDfQ4JGXkYeMM0XNOnn1qq56t7rwTFPzOG1VgfVppUNKzH3lVlcA6ZelleqHctETgoQq6jVL7El0NFHsYtVZPJL7s9Ds6a99GsxkkRgcUth2DL17N9r2gy0F+I+LJVrudnDwqvgu8NIiIiIiIiIiIiIupqfkueJgweBfuwryEmJka1+Hb2VCvqy97FhXNnVEvXiXbJU5GhOKqyBL/+QDX40TklT8308qcwSjfKco6JqJxegXRVFhXOMktZP0upPhzC3ulPoF6NGeQ89h0+yvi5y61KrlJ/Hu0up1C56gEc2CA+62UYc430K68ygd7rMEpSyv0ZXhWwPKG53KRluyLrK68FlfZ8bdta+5YqDC7Ih804L3J6BbY7prrOi2e5Sus58zymhcC6HUgoMvbdfU597Xcox2LIXrQRNziex/tYhMIxcbKt4T1zqVBz6VGddbpeXnRQzfN4Y6P3zZo0d51rvYJ1WY0qL4py38vr25+Bkz5KnlrXbS6LapQ83QzMNPbds3Sp9bicvrYv9y0Jn4Zb8tRMPi85OGpczyg9P+JezHX4KHkq7rWCoWrEVHJVblcvw2plXn/kz498NhCoLKfHsqZjFsc7HlVoy8/Xpmv7swUYJ47B2H6Hnh+x3TwcW9WCXOP4XdvWj3dwtXldnm1i+aloda3Pk8c5M19Lsd+TWrC3OgfjQtrvcL8riYiIiIiIiIiIiK5OfjMUW49V4ssDH+Li+XPacBZnnd65UKccx/HFp9svSzDxinbPIMTjFFoPqnFpqHrJLjKRSlFvy0eukcm3dBmm5TdCL5kqyvWlYFwYJRbT1uThmFpWrntIocoSVGVYRcakfPFuzON+0Z+2xpxhuAqV9kJT2UXx4t+cQaVNd0XbJiJteCyc1btcQR1P4qX+OHuZXspSG7aXAblFptKrQ/L1/uQOxyK3QASMxHnJQZqRoaUdhwwKiOW1Y0D+Qnf21j1LkIs1ar/Uuuebz5m2ziLjfIv9HopcdVzOXVVwmrcTwrF4so15FIX2rbJcaWl5O1InPI4kOUUE5mbDVv68Xsr0yedR5VqpCMhtxHef1vtOFOv4rhxfh/FGad7sxzFlTCN2y2X1IaI+DX3R1j0WL7vWW1oO5Mw19luXOlMEIvXpu49kYcKiBWqK53FthlPb/xlT1ORoGpaoXcdGOC3BqM56fuZhXF6F6z56c8shpBWoe9Qow6q1yaCXMY8pgBX58zMP6UOA+gp/AS8fyyIf00wlhW35Odr50O/tcaLfQZkZnWd6vjry/GjrlEFcMd18vnehvvoUbMMnuue9ZyIG207h6C6PQK0ftpWFwDp9u8ZxjTeXetW2Nc7ffnfwu5KIiIiIiIiIiIjoauW/D8VLl3CmpQGXLl7A+TPtaGu0RLekc6dPakObGrsyZM5096H45JwU1dpFREaT6AutKB8oW+OVnVO/xQjkrcexw0B8qv4SPS1vqDbNHaRwLt5hDawFUb/QnKFjXXdgIqhxCHtdWTy7cGDnIXewYGkhclGGPZ4ZXSGZh9z8WNTvdGeRORevkcGPdCMQ5CxDpcgEkx9LvbKMZBDH2LcNu3DUGYuEYfqoCPbsNe2XHiRMhLlHUPf5VkEQu8pC05atPByLwRPVOZIBkUOoDOc4nftQqvo9bC7br207CTLHdcrdsm/E931mDhp9HOpBRpHhpwfnPDMJszA0UKBO9VfoOzsxAG25raZlLPutNLzn3pea/bVAxo2Qsc7sKRhkOa612CcCqSONgGMUiOw08fwUWJ8HQ+c8P+tN979meYW2nhTYQlq2E58fsazlntTWvc4jYHh4h+s7xvycuXTo+REZi8Y5tZ5vz/Nrm5gDm2lfgnEufsI0r8ezKfjYb+NZ7eh3JREREREREREREdHVyn9A8Sq09WVz/4lb4BizoOuDiiqTyausIg7hmAqeCfULjXkmwmYH0gpe1YMpcrCWSAzKCMSowV1iNAiZSSkyv0zbNpV+7DjPLM2OcwdKRQaXab99lqb0r77CHfgRARH4CmgGYOn/UAb4OlDi00ys671apM4UmYvasNSaQdgxIstQrVcMC8YGPmfHmt1BqvQk2GxjUWgsqw3msqxRI0p2as+PLDlq0XnPjyg9GtGynf38OFsQ7T/3iM7zIwKMRpBPZPcClW+ZgrLBGH94oQZ3+VJfdsHpUB+j8V1JREREREREREREdJViQNGvT/D5UfWxq4gSiaZ+3cIh+lXTSwAag7/+xzyIl/Myo8u97N7DalpIzKVQ1RDSMegv+i2lD72YMqKkoUgIJ+rnQ1uDHqiVpSZhKkMpy7qGQWSiycwmPSASarnGLvH+EpW5OBe7m8eiMEpBxexFj8rsyVK17t+u3Rf4nIkgorMZrniOyMo0ljUGlaUZFcufiLjPu0ifH1mWV2QZupYLL7Ac+fNzCK3aTGl57hKmXjwybvVSsB0TrefHFZAX2b2oQn2I2YmyxKzM4DZKuYqypafUNF/0IKKx30LE35VEREREREREREREVzEGFP2ZfC8KBreiurxRNXQ+EZyYtW21u7+vkOgl/1z9tkXElAm4dJl3huKG42iDqdSoQZYTHIpxpn7ZLA62WPoalEEIU0Sj/q0ybbpH/2di+6r/RlEmMW2Su38z28qpSDOVOQ2HbeVCWQLSnKUGx3EVBJmIEfPDy1AU+1cp+41biMGO0Ms1BiWy+mwjMVz1iSiDeB2IAjkc7eqTSfbjuPvpjbh77mTVEIbmoyqzcjLGzw2UoahNn5DlzsR8/xM02MZiSiTbDJGeKRjucxCF58eUCZi2xkfGm8dz4NKh50cvjyr6OdSfF51t5TL9+0OWXnX3+ynv8UlDfZcGDkHUn5/lpXrfh/Nz0Oar3GoQrgDhPUswPlCGoir9qu93NL4rgyt+pRQ73i3F2sdUAxEREREREREREdEVICZ1UPol9dlLn/7xGJRfgAtnT8s+FJOHfU1N0bUeq0RT9R411vVyRo1GbXWVGuuoG/HwzwuQqcaAw9jys9ewVY2ZZWRm4aDHdhPt5p7kIiMCitPygcpVHhkzIouwKBGV0737hTPoy5perIvSqTLTSZQmtAbyJFEaUmVziUCMK4goAnaOfAx2rLKWXRVlUV3lGEX/aMY+eq/fWeZe1rxfor3SXoT0ClNJSnlspmCEab8Ey77JbC51DsT+TGqRxxivzZMr91eUj5yKVrFvw8z7K5iWFTy2W19Whvh84xzrx5Sw072f8jjsO6wZcGodbVt8ldj0L3vRRtzgeN5vH4ZJc9e5yoGKfhI/tT+KofvnYuv7skkjSo8+ikE13uswL6urxW7PcqoioLhgLKCt27L8lBX47swsNWJoR9Va1S+iWs44Zw3l+2Abk4RP5fr1fTIHP8W+W/dvAWY8PRupakxoeE8/Lu/9FnzsewD6veJxnYUOPT/ztHvKO0jovset053afdSWn6Pfg6Zn2Lp+8z528PmxPJfWZT33zfxsue/nQ+57/aDpPHmsN7znR2xXPYfqHIhroz+j7u8U/dgava+Xz3Pu/s7xPJeVZSnINZ7NYPutsS6vCeO7MhQioHhnBlD3TiEWPKcaiYiIiIiIiIiIiHo4vwHFa/r0Q3zqcCQOuUEbu4TzZ9rR12YtnHi6uR7Nhz/FmZYG1dK1ohtQDF1nBRQpikwBx3Czn0IWQqCKqEfqgufHHdQMPVhHRERERERERERERJeHz5KnfeMSMWjsN2EfdjN69e6jDX29golC/6Q0pN000ytzkejKN1GWeUSEJSSJrmr3iFKlQOVbDCYSERERERERERER9QQ+A4pJQ25En36edd98i4mJQXzacPS7LkW16JIyx2DYbd/zOYhpRD2TKIso+uorQq6j1FLCkYiCEFm927TnR5YKtpaFJSIiIiIiIiIiIqLuy6vkae9rY2W/ib37efZnFljzob+jua5cjelE4DBp6E1qTOdrvkix5CkRERERERERERERERFR5/KZoXgJF9Wn0Fy6JGKS3suIwKEIIBqiGUwkIiIiIiIiIiIiIiIios7nlaHoj5FteMpxHA2fbFWtoTFKnEY7mMgMRSIiIiIiIiIiIiIiIqLO5TND0Zdzp0+KVETt3zbVEjqZqcjMRCIiIiIiIiIiIiIiIqIeJ+SA4vmzp3HxwnlcunhBtRARERERERERERERERHRlS70gOIZJy5dOK9nKhIRERERERERERERERHRVSHkgOLF82dx7isnLp77SrUQERERERERERERERER0ZUuJnVQ+iX1OaiU3Ek42VCNMy0NquXyyhk1GrXVVWqs62RkZuGgx3YT7Xb1KVLzMG5bIdK0T86yVdi+eJfebGJbuRrT8mNRv+U+7F2uGn1ZugyzJrVg++wVcKqmqMl+HHcvSMKnTy5BjWqSpqzAd2dmqZF2VK2djz2WGSIgtzUWNjlSi92e2wxE7M+EZpQufwbNqikcSXPXoXBMnD5yZDN++/Ja/XOIjGsFHMLe6U+gXm82UdfbWdY516kTyGOy78CbC9erlvCkrXkV44bon/3d40RERERERERERERE1P2EnKEoNFbu7DbBxE6TPRNP/rwYJXJ4APOyVXunW4+90+/Dm9NL0ZZfhFlr5qn2nmABZszMQsN7c/HbJ8UQhWCiUPMM3hDrW7uvywNuzRvny2MpLW9XLeFxLn5Au5b3YXtZCsZtW40R96gJIZmIEZtfxbilajSaRLB58xIVpO1a9QvF/X0f9h5WDURERERERERERERE1COEFVC84k2+FyXzh6F6XQmKfyaG1VgfjcBYWNZj76oyOIdM9QpCGUGqgNmJl0P2YNhQi0Pvq3FyEdds7+FY5N7lGSBWAeQekp1IRERERERERERERERXLwYUXVIwb0ICPl53OYKIHjYcRxtikTBMjcvymK9ilhx8Z7uJcpT6dG0oGKpaQzEZ45duxIwpQPaijfju02JYh/HmzExRPlS2a4OrBKlJelKAjLcFmGEsK4aljyNJTTGI8qJe2wyJvu+B1m2X69an3z13smrV6ds1ll+BzkpGbXOc0nZkkOscWa6VRyaqKAs6a1sRcrWZ0wrUPNowbeVENYdGZBkay1vuB3GfLMMItf5pK+fJTEd/94xPlnX7zpLU99HXdD2z0rV8j8qyJSIiIiIiIiIiIiIifxhQNGTfhOG2VmDMA6rcqTYUz8RwNblL3TMI8TiF1oNq3FQO1bsvPs3SZZiW36jm0YYth9SE0KXO3IgbHM/LMp+7j8QhZ/oCfYLox3BmCqrWqnKmpvKjroCc7DsxCxOM4Nwitawme9Fs2Mr19cohwj4NfUmaezewUa33yedRhbGYYg4a2sZign2ra78xZpE7aDllBQrHNGK32q/S8hRM8BGQjIZ4eyzgOO46b+5yqKdUi5teFnQVKrWZRV+Z8nqKeY3+Bu9ZgmkFKahcZVzrRuQWLZN9b+qGIlf0c6jdA7b8QiTsFCVGYzF4oikg6dc8jMurcG1TrCOtwLxuzZBC5DpW+ZyetqZIm1aqlteOwV5oDYQSEREREREREREREVGPxICiYVAy4jEEw/HfqtzpWnyMm/HgohvVDF1ABItEZldRPlC2Bgc2qPaAJmLEpKGo3/KE72BjqI5sxhsbP5Afa/bXAkmDZXAte/pYoPxln30iGv0M/vY9bX7UuoJzv315rT6DYsueEjBQp68n/H4XmzcuMS3zAapr2mGzu9I6Aec+lBr7UvM+jjvjMChfDzhmjxR9Pi6BsXjzxq1osI3E8CimKRqZfOOGHMLehetVa8fYJuZY743lpah0DkW6K1PwFCrfUttylqEyrPK46637ubxCu6dSYDNnNx4udQc35XRj2/OQbjnOXTiw8xBswydelv4aiYiIiIiIiIiIiIgoehhQNHN+jPWbGtVII9bvPgwkDuzaLEVnGbZPN2WkdZGG/aYg4PtLopZJWPOynjlYqLIXRWnVqBHZk0ZWpDYUjolTE3z5AA7XAU2GPUnPyjSW/e7Ts5GqpkaTnmXYwWCvich2tOUXucuKqvKo0WIuZzprW6E1O9HLIbQaaZcyq3aoqTSvNoRVepeIiIiIiIiIiIiIiLorBhQNx5vQZktGphq9LDaswPbZK1ylMa8MH2DPcpW5uHYfbDOjFVRcgBkLRPaku5xqaXm7muaLHkR0ntCzMIWG99R+uYbwsyQDEeVL94aVIRgaZ5kqOWoaorEd0bejzKZ0rddPiV2XoUiwmUvzmpdVwxV3PxMRERERERERERERXX0YUDTU/B3VziG4dU6KakjBvAlD0CbaVUtnEwGdWdtWY4S5xGRQu+B0AGl58/RR2cde9DLDHI52U8lSPYgXcUJczVGfwSW9L8Z17v4Nw+AKEGY/jimBMhSn3I0cWy0OvS9G9PKoqTNXIIoVTj3M07P11qjrEhaPa2pSXyH6RlwY5j0SBmcL2tTHtDWBMxRtK6cizVmFelF+dcMuHHUOxbiIjjdEc57FW++WYsemZ3GvaiIiIiIiIiIiIiIios4Xkzoo/ZL63OPkjBqN2uoqNRYNN+Lhnxe4shTbytfiaVcJVLeMzCwc9Nhuot2uPkVOBBSn5QOVqx6w9p+4dJmP8pGnTPOJ4JUR/DmEvatakDsf2BNSdthkjF/6KK7bPRdbZbDNkz49R0YR21G1diuuW3AjDj3p7n8QU1bguzOB3eY2aQFmeJQSdZY/7+qr0SACioVjoK3bmiGot3sGCUVfjfp2rNNrUVWeghz7Vr0PR7lPWWqa4F7O4LV+0eeiLPVqPmaTI5u9+of0T12Tw6V409J/4kSM2OyjTKnXfOZrqmclusrget0PIjNQlFUVy0xFq7gvhmnzTGqRGa/xa15FrkMt7+teEmV25b3iuc0ytOXn6OvT7jP9/oxVUzWu5Qzex+beb+u6DZbjCkYEFH84BjZnOV6c8xO8ppqJiIiIiIiIiIiIiKhzMaAYgc4KKBIRERERERERERERERF1Nyx5SkRERERERERERERERER+MaBIRERERERERERERERERH4xoEhEREREREREREREREREfjGgSERERERERERERERERER+MaBIRERERERERERERERERH4xoEhEREREREREREREREREfjGgSERERERERERERERERER+xaQOSr+kPvvVq3dfJGaMRt+4RNUSmkuXLqG96QicDTWqJbpyRo1GbXWVGus6GZlZOOix3US7XX0iIiIiIiIiIiIiIiIiunKElKGYlHkTEjJGIzZ5cFhD3PUZuD57PGLt6WpNREQUnjlYuemPWDlHjXp67CXseOURNUJEYQny/BS/Uoq1j6kRIiIiIiIiIiKiq1jQgOJ1g0biuvSROHWiDgf//F9y+OKzP+PihQtorvu7q+3Qzt/jzMkTOHfqJA7v3ijbDn/4Oi6c/wrX50wIO7uRrjz3lvwxwItbETTxfnGbtuZVzNqmDZuXwKbaouKeJZgm1iuHZUhTzdFkW7larn/cUtXQBeQ218xTY34Yxx5svm4se9FG3D13shqjiJiegWjfo67nVhumrZyoWqNpHsaJ9Uf7eyEgsc3VGHGPGvXjcjz30TUZ45duxIwpapQi0mm/Xca9L4fg92Mkuu1v12V57qNsygp8d+njSFKjPVnAYPucZ/HWpmdxrxolIiIiIiIioitDwICiCAImDrkBZ9tb8GX1HtnW65o+SMjIw4Vzp9FmKmV68cI5nDy2H7372RCfNkK2nT/jRNOBj+Qy9qybEdPrGtneLU2+FyU/L/YeFt2oZuhcU+1ZeHt0nmX4g72PPtGW6jXt7dGpuF+fqonDr0Zn4Sk1u4XPZc3L98FTw7yn/8p4W+e1vJ/tBPPYS3hojANv3/+CarAqfuUHGNv8DhY8pxqU+oX34c3p92GvIx/Tohn427AC27X1vrmqDE7VFJ6JGLG5JwcNrjSRB0FEcPK7T5uHFchW0wTP6dZtLMAM0zQ5mF8WZz+Ouz2nL1qgJl5mpmcgviC6gT/Xc3tYNYRr6bKeHTS40kQaBPFx/5v/EMD72dMH7+dYf76/+/Q6jLc8nNb1d6cgaKf9dmE99orndnop6lVLePjb1d1E+gcywX67dOo3yufza/398tyHpLnrTOv2nl7ydjmS7/CTPb/pJ/hz8xg8xOx5IiIiIiIioiuK34DiNX36YUDureh1TW80HdiDC+fOyHZRyvRaWzJOHq+SAUOz9i8PyyzF+IHZMrAonHIcQ+uxz2XZUxFU7LY+eA3FPysxDWvxsXZ4bU1fqBm6gKMOd35W4Rq+4zintzsb9LY6h5gJm+T0BryiTw3MWPazA9hzWrtG9QfUuHX5mjp9m8bwY/OlPd2AEtVeUg+MzzEHM0PxCNbekYG6dx5EiWqxeOwl3JlxxG+wUahfuAqVzqHI7ZRsp87hXPyA/kJ5uWroLoxA0sL1qoFwZDN+++RcOZSWp2CC6cVszct6uxzW7oNtpkdQA7XYbUwXw/Jn0KymSM59KDVPf3mtmtBNiPthyyHY8gs7JVO3c6igyuwVEf5BQOfpts/9ZdOOqrXG/b8ZzjGPugITlmdLDNrz5dTmP3lMTnZJmrsIOc21aFDjugWYsWAsnO+5l/V+Ni8//nZFU/d97i+bAL9d8g8Bnr4RJ8vbVYOZCNLPhq38edfzA+3ZdAXltWULs/e7f7vk9EXW52vTT3DXOw6Mvc93JmLJ/f+JfUl3sGQwERERERER0RXEb0BRZCb2jU2Eo7YMZ042yrZefa5FYsZonDvTBqcpO9Fw6eIFtB6twDV9+yFh8CjVCrQc/lQGFuNTh/ec/hSzb8Jw22H8ZZN+7KTbcfa0+hS6e0smIfOId/ahbg5W3hog2OiyC04HYLMPVeN6STmRVWWUZ/Mq0SaynFR7+KXh9CwO1/KmbCm9lF0RcrWGtAL3PO4Mr2Al6czTtcGSiSWmLUOauSSrZ6aW5bh8Z5aZS06az0nAUpRivWvmWc5nNLPW/JJZRj4yKyxZUUaGkj5MyJCNkp6l8ShytJOUOtN/NoWebRE84NC8cSsakIWhvrKdao5emS+yD7Zox5UCm3GvyvtPZFWZ7lWP+9B8n4RdNtjjHnbdo8Z9X6A95zaR2eW9fst2fZVIND87HvOIZcU97e/58HrufR3XMH/PZuDnPvi2O4fv7CfPjF5zppL+LElGBuDMLO0AxqLQNY/n86qWD5p9uxb7ytthy57iM9sxKX8kbEe2Yo/5Py+0fZgyBqja9olq0CXNnYFU5z7se1811DyDT4/EYVC+57FebhH8dnn8RoT7PWx9Nt33on7vdeS3y/obYp1HPDti3LwOz+fHelxev20af89H4OderFfbVqDfzc4Q0m+XR6afeJYUo138ntnGPOqex/M5Us+h93NsZf3t0p7JCc0ofXIJquVUD1Pu1p7zWny68QN9XD4/2m/oSH3bSQNStBUedf9xjL/fvufewT6MQaHPoOEmLP7LEWTeytKnRERERERERFcKnwFFUbJU9Jt48fxZxNoHIfWGafoweqosgxoT0wsDRv6Du900iD4XRWBRBA/Tbpwh2wbmTUHMNb1lydPrR9yCPv2vU1vqvmZMvxko346tapx098fbgdNn4R1O9mcObsmOQ12Fn+zDOeORYzuCT30GG80mwqZt2uk4pMZ1tvwiTLPvkNkU28tOIW2SeokoXiwWpKBylV527s0tjcgtCj3oYVtZCKxTy05fhUrkY7x66aqXshNZJ9rnLcY82vYX75LTA5ekEy9dCxFftkotp697muUF6VCMK0pEpbEOWz5yXS9W52Gc+bgs21WGFCLXoa/fck40QUtRassa51OUwkT+Qp8vlaNKvqhMgT1AoC970aPIaXZnYuw+oiZo9Cyn51GlXY8GI1tJG94wXpRG05Qbkercj+rQH4CeYViido80wrlBjUvafbhtKlrlveZxHy5dhmn5jeo+F/dZCsaF/AJfu4fzKvR7TAxbDiGtQD2bRvas1gZnmf5ZDk+4niUje0rc2960dRflo831XGr7Le5pU0BGfGf4ez5sKxdq00rVstbt6mKRW+Dv2QxeitK8bctxdyKHo1377hymxnzxyFRSz5JU8wzeEG3v1Won3pxpuySM34BQLcBYGTg0Z/Bq+zZ3rPZb/LI1yGgwBzw0wY/1cgjzt8vrN6IUbdq8IQeftd++XKxRy4p1A7nz9XV37LdLPB+rMc7ufi7lui2/q9rzUWR8Z3hnZqatMR+XNnhmGgb47Qr83Avm303rb3anCeG3S2b6jWl0Z7GLZ0lp3jhftonfM6fr+dOGqGSxr8VWz2x5ExkwPPKJ6zkWwU35hzpJg2UgtLlsP5wZs11BzOxFs/389m3ChzXtyMzzU9r0uQrU2YbjFl9lUYmIiIiIiIiox/EZUOyfMBAiaCgyDUWJU2Pol5ACbQL69I+3tFsG+yD06t1Xlkrtr3022vsnpiKml7bOa/ujr81XbkI3kj0Ttw6+DNmJ9kxLf4Wufgy7QHZmgH4S+6eiWE2bgzrcedCBHWpScBlItrWjyf0OzSrLDpvTAf9drRkZQ0XIRRn2eAbPRNBBle507qqC05aIeO2zbWIOULYGB4wAyfJS+XIzPcSXss7FT7iXxS7UV5+yZJhEbGkhcm2HUOk6jl04sK4MziF5ppeyp1C5yghkrMcx7eTEp5pfjMZi8MQAL0oPl7peEJvPSUhM5xMbduGoMxYJIb2ffwRr3y3FDs9hUyiZCQdx0nirbMr4cGVIaG03ZNRidwdfsuovb+f7DkyY6C9OTZlP5uzImVlo2O35kjYLE4zMEl8ZkAEzuy4zI1OwYCjqt3gGz0TQ4QH1HFjvw7Q86/zOxTtQb8tBWkjB5/XYay63u7xCW48pO7IDbCunIk27hytdpRq1bYlyrsMnuoOdwZ4Py7PoKdizGYRp2+Ec970lf/R+trQhlFKCzSfcv2PubMVhuE77XpalRUWmEvbh/Q4F4NdiayiBEJltGOfjGRIBjRlI9cxODLBvesBjhvt5U+vuPiL77cI9EzHYMv96VIrgWp6PbFxfNqzAXtO2wv4N8GsecvNjUb/THQR0Ll7j9bvq/s7w/btpeRY9deS3y/JshvebXfyK97O1410/fQNaBPntEr8dE7TfjPc6GIBXgf1gfyTj/dsVAlkWdaNe3lSUHNb++9wu2uU2n8fxbD1zcgI2e5fzVl5rcGgHnernt/4ImpxxSHYnZhIRERERERFRD+YzoNhUsxdftTXJTMMvD3yEg3/+Lzk0fLpdtokSpkab53Bo5+/lsmdPtaJu1x9lW+0H69H+5RHg0iWcPFqJ9hN1akvdk8hOjD9a0fXZiR59KFr6Mexk1j4Ua/GU6r5RMvpQFH042uPD6z9xTiqS1Udf7k2Vr66CEC8KfWQzaJzVu9xtMrtJf6EYb4+VGSCuEmmqzFvIPMomTsuPVROiwNmCNvUxfOuxV2YOGsfW+RlOoQVMXsCC2wsx1XOY8xO8pubw7wM4muNwXTqQlJ8Ep/ZVYWR8OB0H9Q+dLWO2CvhtxISkfSi1vDj9AHuWq8yRJ5/HyQnm0nMqkGIM7zUiZ4EpqGhkeKnBq4+r7uCwnpHn3V/aIRwztYnsJv1lv55xZS6ZOGtbeP0vWssmRrnvRsdxr++JUIksqL2HRWamvm/hlpoMX2gB+9eKv+39bGmD7zLSHo41wymzjhZgKGrhdGXwNcLRoShHqOK0Z0IF1FWfh1u9Ah4iOzEODfvNAckFmDEzBVUb/WRZac/W++Vwr3su8Gl5e9d9Z4Qk/N8umS1sKfcb7u+PEchUQ1G+/wBe2E6htQOnV/YnKTLy1b51eslf+6CQjr3kfu9na+rt38biTWoGv7r7b1cQYllZFlX7fRLLpSfB5myG6K1bD5A+iut2i9+u51GVJLbj57er1gGn9qMwRI1abUK9tkPJqUxRJCIiIiIiIroS+AwoXjh3Bg2fbJNBQXvWzTLDUDjdXI8zrScQlzIUvfv5fk0j5u0bl4S2+gNyPYiJQfKwryFOa289Vommg39Tc3ZTMjuxFR979NdEGmcT9py24w67OX0xiE0NaFIffZF/2R7QLhyYbWQ8hMdpLq2mBu+giS962USYlvdfZi0CnlkXstxkGIyykHK/UvS+o9SkztDW4JFZ41NHMhRVqcIBCzA8Gzi0rRnX5U+G3R4H54lOKFvqyxF3OVV/WRi6D1BdE6Cs4vufoEF99EVmVanP3cLyJ/CmOVswDOaSifoQ2nMqyyYOOeQqlxqoRGhEPIIIttQU9Sk0Rllgo9Rk5wYVQwvQdCRDUZZlFFlHU26EzfEGDuFGZGcPdgcOOl07qtaqZ0sbvIOJKjvRM7NKlBc2ByOfnu0eV33MGSUjjecWXfmdEVTkv13Wcr9qCPE5TVujZ0S6ll9VFsXvHM8A+FAkhPXjJc6Je7/iCzo5qBjiHxdEnqHYk367rPTM5VrsNi1j7jcxe/pY2LR168+r+KMaUQo5Czf46scxYKWJOUhLApoagkZniYiIiIiIiKgH8BlQFEQw8IvP3sf5r9qRkjsJsfZ0mZ3o/KIGva+NRdz1orMVK9FHoug78cLZ03pGokYEE68blIO2hmo4aj+Wbd2Znp34V6zvksyNnuYcnmp0IC4tOYwsxSDlrgL+ZbtGZQqG+1K/vuIQbB3s/88VSNP2YbxXhsguOB2i9GOIZegMssyhuV+piRgxaSicZZEFVZwNnVeWV/YnZ7NmqfnXkQxFw2Bc1/wJamqOAtl3Y2iSKsko+6nKwtAp+lyuvp4sRKYIkDpSDzT4IpbzWZI0LL4yqdz89zMl6P3B2Uz9Vl1ueqZguAFpvZxgh/r/M2Xpin7VvNZzsEX7Xgi1hKqbXibR2ueoZ5nG0B1CaydGf+VxO6tQH0LAqUMZiop9AHC8THtOHCkYOj0JNqP/QZHBaBspAyKC7K/UM0jkMY+3BZghgn4q0Bce9Ux5lkF9f4k7UCKHzWgwgpM+SquKcq6iLKOvgOVlEeFvl/yN0O7hDvX/5wqkab8v8z0zFCP87VIlfq19jnqWGA7DhuMdyNQPQv1m11eEFoSNPEPR4Oe3y/N3SWT9zfT+jyEZlMyeIvsu9ElmC5oz46NA/vFLFia4nlkfv22qP0VJ279B2oX3FSiVlSaaG/z81gcpe09EREREREREPYrfgKJw/kwbGj//ABcvnMOAkRNlP4giUHjW2QxbShZ6XWPNVLs2PlkOzsZabVmnzG68Ln0kTjmO4cvqPTIg2a1NvhcF3TE70Zaq922YKcqD2jFH9meY6hHU64/xOUYfiGLw6AcxCGsfigH6b1RZinPSQu2rahM+rGlH5q1+MtU27UGVMwO3lUS5HJbIvNrSiNwiVfZNDu4AiMiScpeDM0ocGtNVn1VGSceiRBz1kaFYv7AU9UMK1bpNL46NfulkKcdYtQ+rVXBzPfaqzCd9niLkOkz9qgXjWrcaClJM/UYFM89VynHcEO0cqH2wvPA2ldqblt+o7Wuo6+4YkS1hGzMWkC8z1+JQcxZSbUZJxrXY+l4tUmfqmUqF9q0oLW8XEyxqXt6MBlP5t+i8fDX1nyiH2YC5ZKPqf8oYPPuZ0oOYxvRHMajm+eD9zPUAojSonh1ruhc3G4GGwPeZ3t+i+z7LdZR532MbVmBPGUzPr/Fsuss5yjKQxvO3RgVHRPauynzSlytEfNmqEDOTPUpFRvxs+nruFdP3xTh7Gbb7KIUZfaKftyzkZDfLQLfIkrVlZLlLMnqUDr3B8Tx2638P5OZZXjSKZXsj6vdNUkFMNYj9vhKeLe/fCHW/GEHyIPdZ/VuiT17jPitCQrV3hmJkv1169u5eh8dvRMj3sPt7wdhGJM+mz+deMvZXG7Tf9bYtoVYk6JjAv10ev0sLkvCp6KdQn+TSvPFlVMHU125EgXlP7t+uQtG3qNGX79LHVZBQlOs2/2Zaf9tqXn7euk9+yxXPwS3ZcaireEGNe3gsD5nOanzIBEUiIiIiIiKiK0JM6qD0S+qzX33jEpF64wz5ueGTreiflAb7sLH4cv9f0faFu17bwNG3od91Kaj/+3vol5CC5OHjcNpxHF9UvN8pwcScUaNRW12lxrpORmYWDnpsN9EeSl+AVytRDvMO4B0/GTWPvYQd2uS3b38QJaqJLgPxMnlSSxcFOSh0c7By0z8Dr/rJmBHPT14Fpt7v54UudQvijxim2XdEXGKWOkmQ50eUw7yhIrxsUOpqIlg5Fa2rIiwxS5ETz8+tDrzosxqB+O36AZL/wueHiIiIiIiI6EoRMEPRcLa9BScq/4KYmF4ysHju1Emc/+oUbAOzZZlTQfSbKIKJZ1oa0C9xoAwmiv4WT+z/a/fPTKRO9gIWvHMEmXe8hGLVYvHcg3j7SAbufOUR1UBERERE3dacZ/HWHXbse9V3afPiV36Asc3vMJhIREREREREdAUJKaAonG5pwIn9u2SZU5GdeKblC/RLGCCzFYWE9JEyuCgCjfah+TII2VjxvuyLkUgEDV8st/sNGpbc/5/Yl3QH1j6mGoiIiIioWyq+cwya3vGTOT/nWdyWVI4XmTlPREREREREdEUJqeSpWWzyYKTkTgIuXULMNb1xynEUjoP7kHbTN9Crdx9tjdfg/OmTqP9kGy6c9e53LppY8pSIiIiIiIiIiIiIiIioc4WcoWg41XQUjtqPEXPNNYjp1Qv9E1NhH/Y1XHNtLHr17osL506jsXJnpwcTiYiIiIiIiIiIiIiIiKjzhR1QFE4e34+mmr/h0qWLMogYd30GYmJiZLnTLz7dLsudEhEREREREREREREREVHPF1FAURBBxeZD5TKoKFz46rTsM5HBRCIiIiIiIiIiIiIiIqIrR8QBRaHl8Kc4ebQSF859hRP7d+HMyRNqChERERERERERERERERFdCToUUBSaDv4Ndbv+gFPNx1ULEREREREREREREREREV0pOhxQJCIiIiIiIiIiIiIiIqIrFwOK1GXuLfkjdrzyiBoT4vCr0Xl4Ww5ZeKqPau5yj2Dtu3/EyjlqVJqHcdtexSxtmLZyomrzcM8STBPzrJmnGrq7iRix+VWMW6pGw2UcrxyWIU01u4nz+BKK1VjXi8Vbz43ER/M640bqg988NRKf/zhWjbuJ+/qtEsvNQ0RERERERERERER0RWFA0Sx7Jp78eTFKjKF4JoarSZ1tqj1LBdbcwx/sKjBiS/Wa9vboVNyvT9WIwJyfgJzPZc3L98FTw7yn/8omJ/pYPsLA32Mv4aExDrx9/wuqQWjHjz+rwJ2f1aFGtXS9OVi56Q4kl/8OizepJmk99k6/D29OL0VbflH4QUMZfPMVdOuoDgYFO2LDCmwX52RVGZyqyeoFlJbbceemZ3GvarkavFa8E01jfoC1j6kGIiIiIiIiIiIiIqIrDAOKLjfi4fnDUL2uBMU/E8NafIybMW9OipreBRx1uFMG2PThO45zeruzQW+rc4iZsElOb8Ar+tTAjGU/O4A9p4H2+gNq3Lp8TZ2+TWP4sTlidLoBJaq9pB4Yn2MOZobiEay9IwN17zyIEtXSXdxb8s8Yi3L8V7ElmmiyHntFAG3IVIy4RzUZjADbwvWqgV4r/jbebh6D713GjL3GL9Rz0wnavvS17hew4D/KkXzH5czOJCIiIiIiIiIiIiLqPAwoGrIHwo5WfOFKlWvEFy3qI7nsOHtafQrdvSWTkHnkHSx4TjWEwZq5ac6OFJmVYtxcNtUa6PSV9fl2WpyaKjyCwjHAvld/gtdUi08bjqMNsUgYpsY1aWuM0p+eJVFVqdSifNgw1FU2dda21aaApJ5laCxvzn60rVytrW+JWm4Z0pYu85onGLEO17ot2zW4y7l6lS41tud32eBK3i4HxtxxGYJrp3DXY/tx11Y1ajZjID5/bqQahuA3Oapd8/15Q2SZ1GU/NqaPxFsz1ESXc/j+U/vx9fV+gpWbfoI/H8nAbSx9SkRERERERERERERXIAYUDTV/R7VzCAqMMqeT70XB4FZUlzfKyaS7P94OnD4bRonSObglOw51FeZSpyHqY9eWPurKmpTZkRl2TFWTgf4Yn5MCR5WYLjIw7bjDKBOrLVuUBuyR0yqwSSR3ikzL+nZ9uvBYHjKd1fjQX3Ki4Z5BiMcptB5U45r6haIc6n3Ye1g1uKhSqbIs6CFVNlUMD+DABn2OtDVFyHWUqvZVqLQXWoKStvwctK7S2p1DMW5SC7bLDMm80Mqn3rMEuVij1n0ftpcBufOXwKhgK6QVTNXWr0/fe1jbhhGsFGVaC1JQqaa9uaURuUURlG3dtAdVzgzc0F1KgOYk4qPCa7H7pf0Y9Zg2lH6FCQ8OxDI1WYj/2jDc/uVBOX35304je3Iivq+mhaqk4ghs2eOvqnKvRERERERERERERHR1YEDRpRHrS0rwUs0wPCj6T5wJbPnZaqzvys797JmWbDpXP4ZdIDvTlMXn2U9i/1QUq2lzUIc7DzqwQ00KLgPJtnY01arRcJxz4MdG2VfNjrZWtPfvi2w1LtTU1eIpOcs57Gg5jbhr+8r2qfEJiDvdih1q8VfaHNpxWJe9N9UONDf4z06U/SC+KrMNUbbGFRDsmHlIH3IIe11lUnfhwM5DsA2f6A76Hd7h2lb9zhV++iv0Y8MK7F28S40Azl1VcNoSEa/Ghfot7uBmfcUhQAUrbRNzrMe5vFQGNdPD7q9xE+qbgeTU0LP17i35I3a8W+o1RKNfwu+Puw74Wz2+X6Uatjqwuy0R+eYsxLojruzD3+w9ibb4ay33SkhqHdq5tmOIGiUiIiIiIiIiIiIiulIwoOiSgnnFxXgw+a+yD8WXyhNQ8PNiPDxZTe4KHn0oWvox7GTWPhSNIJ1i9KEo+nC0x4fXf+KcVCSrj+ETZU1Ngc6cVJgLlgYiS7P2T8BUFRiVmZWONku/kUPsIazNWSb7SdxuCtJ1iMx2NJdC1YaCoWpiNHiUU5WlVwM42OIKWMbbY2HLL3Ivu60IuREGtQ872mGzZ6ix4ETfi1NvL/QaIimT6yn7+v4yA9Fd8nQYJpgjrNGyqQFNsCONVU+JiIiIiIiIiIiI6ArDgKJh8jTcbDuMLS9/IkerN63GS+WtyJygSqAS4GyylhUNhQyyROb+tBEYDxXMFENVA0wFSwP76qw2ryiJqjIr7Q5sMpc71YigV0AbVmD77DAzBENiLoWqhihtR5ZThR4EleuVpVcDGJYIm7MFbWrUWbbKul/asHe5mhgGEax1Oo6oseA6M0NRaPubXs7UPPjsa7EjZPDcgfpgJXSJiIiIiIiIiIiIiHoYBhQtEjDQVecwBV/PTgBavkC1aqFzeKrRgbi05DCyFI+gyRmH5Cw1Gq7TX6nyqn3wVEboGYr3X58K1B8wZV02WLIThdcaHEBSqt8+72wrV2PWttUYcY9qCMeG42iDj3KhG3bhqOgb0ei3sDM4jqsg4kSMmB8oQ1GbPmkonNW75Pyi/Kktf2Fkx2sxB2lJQFND6JG1zsxQfOKzFsR/LQ2/yVENnSXLDpvTAa9uNYmIiIiIiIiIiIiIejgGFA0fvIaXyoGb5xejRPSh+PMFuLllC4pVxuJlZUvVS35m2rURO+bIEqCpHkE9dzaePnj0gxiEtQ/FAP03qizFOWmhhvY24cOadmTe+qx34M44rtGZyHbtv3u/X/myAe2ufiVHwN4SeoaiWBZpI9SyxuBxzp6rQJ1tDArDzoKb5ypZOm6IdhiqTOi0lRPVdGE99m45hLQCo3yoEZjchQOzV6HSXqja9cG6bHDu9erDOBW4rH+rDM4hxrqLkFDtnaHoXrYIg6tXucu5Ln8Cb25pRG6Re72zti2T/SsKeoBVa5NlVI2yre7pLnPGI8d2BJ9GIRgYFVu/wKjSrzDhQaPkqRgGYpmaHC3FeRlw1uzx3ycnEREREREREREREVEPFZM6KP2S+tzj5IwajdrqKjXWdTIys3DQY7uJdhHsI98ewdp37wDeiU7GWSjuT8vDHV8dwHcc7s4gRdsc1OFOU+lTUWrzoexqvDjnJwwERUnxK6W4zfGfuKv4Kqr9OedZvPVDO/58+4MoUU1ERERERERERERERFcKZihSF3gBC945gsw7XkKxaulcfZDRX310icMYO9D+1Vk1rnut+HfYhzH4Xskc1UIdIQK0dyaV47+upmCiCJj/cAya3mEwkYiIiIiIiIiIiIiuTAwoUtd47kG8WG7Hna88oho60zk8dcSz5GkmUuutGYu6TVg85x00jflnrGRMsYMeQeEYB96+yrI97y2ZhOTy/+yy7FsiIiIiIiIiIiIioq7GkqcRYMlTIiIiIiIiIiIiIiIiulowQ5GIiIiIiIiIiIiIiIiI/AoYULw2PhlJQ/OResM01yDGRTsRERERERERERERERERXfn8BhSTMm/CoJu/qf17I2KTB7sGMa6336TmJCIiIiIiIiIiIiIiIqIrlc+AYu9rYxGfOhynm+txaOfvcfDP/+UaxLhoF9PFfERERERERERERERERER05fIZUIzpdY0czp0+iYsXzqlWnRgX7df07YcBIydayqGyLCoRERERERERERERERHRlSVgH4r+nG1vkf/2T0qzlENlWVQiIiIiIiIiIiIiIiKiK0tEAcW2+gOo/WC9pRSqeWBZVPLl3pI/Yscrj6gxIQ6/Gp2Ht+WQhaf6qOYu9wjWvvtHrJyjRqV5GLftVczShmkrJ6q26LCtXC3XK4c181Tr5ZG2JvrHd2UR98FqjLhHjYbrniWYZlzrbcuQpprdxL33EorVWNeLxVvPjcRH8zrj4fO/bvFd8FaJ5YEjIiIiIiIiIiIiom4sooBiMEZZVKN0ao+RPRNP/rwYJWp4eLJq7wJT7VkqsOYe/mBXL+JtqV7T3h6divv1qRoRmPMTkPO5rHn5PnhqmPf0X9nkRB/LRxj4e+wlPDTGgbfvf0E1CO348WcVuPOzOtSolq43Bys33YHk8t9h8SbVJK3H3un34c3ppWjLL4pq4M+5+AFtvfdhe9kp1RImGaTyFZyKhokYsdkIgF3+gGd06Mc0bqka7UobVmC7uI9WlcGpmqxeQGm5HXduehb3qparwWvFO9E05gdY+5hqICIiIiIiIiIiIqJurVMCij3TjXh4/s1wvFeC4p9pw7qPYZ/5AOZlq8ldwVGHO2WATR++41D9Vzob9LY6h5gJm+T0BryiTw3MWPazA9hzGmivP6DGrcvX1OnbNIYfm6MfpxtQotpL6oHxOeZgZigewdo7MlD3zoMoUS3dxb0l/4yxKMd/FVuiiSbrsVcEg4ZMjTxLrccQ2XhFyHWUyoCnHCryLk8g7iryWvG38XbzGHzvMmbsNX5h7Ss3mnyv+wUs+I9yJN9xObMziYiIiIiIiIiIiChUMamD0i+pzy59+sdjUH4BnCcOoal6j94YE4OEQSORmHEDrrm2v94WhkuXLuG04xgaP98pMxijIWfUaNRWV6mxjhk+5wE8mH0QL5W8h2rVNmNRMW5tWounNzWqFl1GZhYOemw30W5XnyIjMhSLr23EnfXtqsUHkS2YCWzyCiaKDMUUOKpq8ZTfUysyEUcgr+WAO1Ap6e32Ro8gokFsM+UsSg46sMMY97kP/onyhg/Zd2KqJTvRzP/+y/OSZtxvp7HHNY/Y78HAkUbYczKhx31FsNW9X9ZlFRG0dZ1jUW5yEpr+49se2YmeRKCtENhyH/YuF+Mi460ICTvvw7G8VzFuiGg7hcpVD+DABvFZs3QZZhUMVSMe0xRR+nSafQfeXLhetRj07bkyEA+Xqnk82l2s65frzTdKDR/C3ulPoF6NGfuea2Sgapxlq7B98S59ueFV2D57hZ9sOr1Eqn68gmm74njzWlBpz9fWrbVvqcLggnzYnGVqfWLf83BsVQtyi7R2sbhrms663+ZjEvu8EFi3AwlFxvG7j8vXflvb3NdLv37e/G9b7PdUtBrHI5o89juUay2zSosSUWm5FiZznsVbP7Tjz7d3o6D7jIH4vDBRjZzG7pcO4/vqa+/784bgIe1I3r1+GOZq3wdCTel+3LVV/xyq4ldKcZvjP3GX34A+EREREREREREREXUHIWcoJg/7GpKzx+HixfM41XQ07OGrkyfQ3z4IcQNc0Yjup+ULVzBRqGtqRXzyQDVGwv3xduD02TBKlM7BLdlxqKvwF0wMoI9dW/qoK2tSZkdm2DFVTQb6Y3yOCESK6SID0447jDKx2rJFacAeOa0Cm0Ryp8i0NAdsH8tDprMaHwaLZdwzCPE4hdaDalxJK3gVuY5VMpNv7+FY5N6lyoOK4FFBCipXqSy/LY3ILQq9RGnamjwcMzIEp5eifkihyhJUZVhl+UwRUDPmMQWwli7DtPxG17TtZSkYt3mJHgjTpK2xZiDuPawmYCLShsfCWb3LHSjzIIJu4+xleglPuW5Yj2tIvh60E+eiQATPtH235SDNldk5FONkUE0svwqVyMd4o/9G7ZzlYo1rv+S657v3W/THl1s0Fa3ynGrLOociVy3r3FUFp2U7wY/FIpRty+Pxvd8dudYum/agypmBG7pLCdCcRHxUeC12v7Qfox7ThtKvMOHBgVimJgvxXxuG2788KKcv/9tpZE9OxPfVtFCVVByBLXv8VVXulYiIiIiIiIiIiKgnCimgeN2gkXI4ebwKR/a8gYZPt4c9fNXWJNd16eJF+W93U11+EG2D/8Fd4jR7JuaNSVAjXcSeaemv0NWPYRfIzgzQT2L/VBSraXNQhzuNbMWQZCDZ1o6mWjUajnMO/NiUTbmjrRXt/fuqbERdTZ2RsXgOO1pOI+7avrJ9anwC4k63Yoda/JU2h3Yc1mXvTbUDzQ14TY17EcEi0Y9gUT5QtsY76+xwqczsE+orDmnXb5AMQtkm5ljnX14qA2DpIZYOrV9ozmJbj2OHgfhUFcAKIi1vKOq3uJd3Lt7hDuqJwNmQQ9jrlREZinnIzY9F/U53Zp5z8RrrcTnLUKkyAJ1lpT4y8UT2nrFvu1BffQo2u8rs27ACe9W5FPQgYSLi1bhQv8UInHovW3k4FoMnGkG+iRhsO4RK0/oCCrptH/s9fGJUrrXbJtQ3A8mpoZc9Fdl9O971HP6IlVGonPr9cdcBf6t3ZSRiqwO72xKRP0ONC3VH8PX1+gP2m70n0RZ/reX5CkmtQzvXdnTjPzMhIiIiIiIiIiIiIk3QgGKsPR32rJtxuvk4mg7+TdQuVVNCJwOS6SNx2nEc7V+6UqK6l5r3sL4cuHl+MUp+rg1zgL+Ut6Kt6Qs1Qxfw6EPRZwnSTmLtQ9Gj9KjRh6Low9EeH17/iXNSkaw+hk+UNTUFOnNSEaemBLPj7GmgfwKmqsCozKx0tFnKtA6xh7A2Ud5SZK35CE7VV5gCc8ufwJuqDGa8PRa2/CLMEsFIOVhLjAYlSmi6ljWXGA1mImzaYYrMSffyvkqkRso7S7PDVBBWL2tq2m+jLGqIREDXGuTzFdD0J7xtOxvcJZA7fK1NDjvateuXocaCK7m/EFNv9xyCle8NTfb1/WUG4ufPjVTDMEwwR3ejZVMDmmBH2uXrPpKIiIiIiIiIiIiIQhAwoNinnw3X50yQfR46aj/GpYsX1JTQ9Y1LROKQG3C2vQUn9v81onV0lepNq1H8sxJ9KHkPSE6A44S1/8SrmrPJWlY0FDJgEJn700ZgPFQwUwxVDQjQw6TVV2e1eUVJVJVZaXdgk0f/lCKAE9CGFda+8sIg+iU0Smgag7/++yxkCU2RZWhaLswYvHlZffDRp5+XXXA64ArK+RaLhGHqozQUCREGz1wcx+X5laVY4S6nqpd1DcPyCpWJKcqdAkd3hZidqAl327bUFNd+CxFfaw8iwO10HFFjwXVmhqLQ9je9nKl5CLePxKDkHxw4UM8uFImIiIiIiIiIiIi6tYABxdjkweh1TR98WbVbBgTDdU2ffhiQe6v8fKLyL7hw7oz83BPMWFSMAmzBrz9QDaQ5h6caHYhLSw4jS/EImpxxSM5So+E6/ZUqr9oHT2WEnqF4//WpQP0BU9ZlgyU7UXitwQEkpfrtv030GThr22qMcPXNFxqZLZe/MOzl3EyZgEuXeWcobjiONvgqq6mX40wr8NOHn8dysk9E07rr3yqD02bqH1AQ25fz66VX0ya5+xa0rZyKNFOZ07DcswTjRQlVc5anK0g3ESPmh5ehKPavUvZ9uBCDHTtCCKB6CHnbqvSr2u+OX2vDHKQlAU0NoUfWOjND8YnPWhD/tTT8Jkc1dJYsO2xOB7pp3joRERERERERERERKQEDipcuXZSZiaccx1RL6GJ6XYMBI/8BffrFRxyQ7Fo34mFR6lQNtzatRfHLn6hpl5ktVS/5mWnXRuyYI0uApnoE9dzZePrg0Q9iENY+FAP036iyFOekhRra24QPa9qReeuz3oE747hGZyLbtf/u/X7lywa0u/qVHAF7S+gZimJZpI1QyxqDxzl7rgJ1tjEofEyNR4sof7qlEblFpjKa24wgn7u85rT8WGBIoT59zTw51egP0LXspBZtXJ/kth57txwylTZ1Bz2dix/A9rIUjJPtathsBAGty02z79DmPSWnSCIjc1UZYC7hmVfhyrarX3gf9jry9X4lxfL5jdgbVgan6biK8tG2xZ3JJ4OZxrnYVoSE6jAzFDV634exaDMHKU2spWBfVYHSULZt2u9thYBpvwNfayMorbXJMqpD1XXxEfCdMx45tiP49Dk1frlt/QKjSr/ChAeNkqdiGIhlanK0FOdlwFmzx38/pkRERERERERERETULcSkDkr36hQx5preSLtxBq6NT8aZ1saIypT2iUtE72vjcPLo53rfi50gZ9Ro1FZXqbGuk5GZhYMe2020i2Af+fYI1r57B/BOIRZ0UcDk/rQ83PHVAXzH4e4MUrTNQR3uNJU+vbfkj3gouxovzvkJgxqdah7GbZuK1lWhlF+NkCgXW5SIyulPhNF/Yvcgypfe5vhP3FV8FdX+nPMs3vqhHX++/UGUqCYiIiIiIiIiIiIi6p58ZiheunAejZW7ZFZhv8RUWfo0nKG/PV2up/HznZ0WTKSe5AUseOcIMu94CcWqpXP1QUZ/9dElDmPsQPtXZ9W47rXi32EfxuB7JVHqeI4uE71UKcpKe1wwUQS170wqx39dTcFE8UcGPxyDpncYTCQiIiIiIiIiIiLqCXxmKPYUzFDsWWQ2oH0npt7/gmrpRH3s+EOOtc/F9nprxqKbyKCchKb/iE7/c+RLZ2UoihKyRcgVNV0Pl+LNhb7LnXZf4t7Lw6dXWZae+C74Hn53dWVkEhEREREREREREfVgDChGgAFFIiIiIiIiIiIiIiIiulr4LHlKRERERERERERERERERCQwoEhEREREREREREREREREfjGgSERERERERERERERERER+MaBIRERERERERERERERERH4xoEhEREREREREREREREREfjGgSERERERERERERERERER+MaBI3V72oo347tPrMD5bNUiTMX7pRtw9d7Ia9y1p7jpt2Y2YMUU1KLJ90QI11r3ox6sPwY7PU8eOawFmqO16n+8wzHkWb71bih3v/hEr56i2YKaswHeXPo4kNRqMOEfhnpvLyfc9TIF05LlH9uO4W9zHHs/ClfrcX7FmDMTnzw3Bb3KA788bon0eiGVqUsfF4q3nRuKj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)"
      ],
      "metadata": {
        "id": "grQd-fMh_dt5"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
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)"
      ],
      "metadata": {
        "id": "HvAweLWT_lEO"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#🔎 Getting the data\n",
        "There are two ways you can access the results:\n",
        "\n",
        "1) Directly from the service, and clicking on `Download`"
      ],
      "metadata": {
        "id": "CSICHgSYxHDX"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "![image.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "iDEce7csxe6Z"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "2) Programatically, clicking on `Code`. "
      ],
      "metadata": {
        "id": "Orl1T63pxjc4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        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)"
      ],
      "metadata": {
        "id": "eV8d3tw3_vcH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "It even automatically puts the query you are inspecting in the code, so that you only copy/paste the code and retrieve the results."
      ],
      "metadata": {
        "id": "uDM1bLO0xyMd"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#✅ Let's copy/paste the code and try it!"
      ],
      "metadata": {
        "id": "-I1D35zDyZab"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install sparqlwrapper"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tDHvTxNjyaFb",
        "outputId": "729eb294-9146-4606-92d4-75f6ae8d6e81"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting sparqlwrapper\n",
            "  Downloading SPARQLWrapper-2.0.0-py3-none-any.whl (28 kB)\n",
            "Collecting rdflib>=6.1.1\n",
            "  Downloading rdflib-6.2.0-py3-none-any.whl (500 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m500.3/500.3 KB\u001b[0m \u001b[31m23.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (from rdflib>=6.1.1->sparqlwrapper) (57.4.0)\n",
            "Collecting isodate\n",
            "  Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.7/41.7 KB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: pyparsing in /usr/local/lib/python3.8/dist-packages (from rdflib>=6.1.1->sparqlwrapper) (3.0.9)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.8/dist-packages (from isodate->rdflib>=6.1.1->sparqlwrapper) (1.15.0)\n",
            "Installing collected packages: isodate, rdflib, sparqlwrapper\n",
            "Successfully installed isodate-0.6.1 rdflib-6.2.0 sparqlwrapper-2.0.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import sys\n",
        "from SPARQLWrapper import SPARQLWrapper, JSON\n",
        "import json\n",
        "\n",
        "endpoint_url = \"https://query.wikidata.org/sparql\"\n",
        "\n",
        "query = \"\"\"SELECT DISTINCT ?id ?itemLabel ?exchangeLabel ?tickerLabel ?relationship ?relatedCompany ?relatedCompanyLabel\n",
        "WHERE {\n",
        "  ?id wdt:P31/wdt:P279* wd:Q783794 ; p:P414 [pq:P249 ?ticker; ps:P414 ?exchange ] .\n",
        "  ?id ?relationship ?relatedCompany .\n",
        "  ?relatedCompany rdfs:label ?relatedCompanyLabel .\n",
        "  ?id rdfs:label ?itemLabel .\n",
        "  FILTER ((?relationship = wdt:P355 || ?relationship = wdt:P749 || ?relationship = wdt:P108))\n",
        "  FILTER (lang(?itemLabel) = 'en')\n",
        "  FILTER (lang(?relatedCompanyLabel) = 'en')\n",
        "  SERVICE wikibase:label { bd:serviceParam wikibase:language \"en\" }\n",
        "}\n",
        "LIMIT 100\"\"\"\n",
        "\n",
        "\n",
        "def get_results(endpoint_url, query):\n",
        "    user_agent = \"WDQS-example Python/%s.%s\" % (sys.version_info[0], sys.version_info[1])\n",
        "    # TODO adjust user agent; see https://w.wiki/CX6\n",
        "    sparql = SPARQLWrapper(endpoint_url, agent=user_agent)\n",
        "    sparql.setQuery(query)\n",
        "    sparql.setReturnFormat(JSON)\n",
        "    return sparql.query().convert()\n",
        "\n",
        "\n",
        "results = get_results(endpoint_url, query)\n",
        "\n",
        "for result in results[\"results\"][\"bindings\"]:\n",
        "    print(result)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ASEBq2a1ybUc",
        "outputId": "2a468cd1-afd9-4f23-f97d-1f2c35dd421f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q1144929'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Lafarge'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P355'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q16995829'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Lafarge Tarmac'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Euronext'}, 'tickerLabel': {'type': 'literal', 'value': 'LG'}}\n",
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q790686'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Avex Group'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P355'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q3266796'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'cutting edge'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Tokyo Stock Exchange'}, 'tickerLabel': {'type': 'literal', 'value': '7860'}}\n",
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q1344736'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Entertainment One'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P355'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q2964928'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Christal Films'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'London Stock Exchange'}, 'tickerLabel': {'type': 'literal', 'value': 'ETO'}}\n",
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q219203'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'NEC'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P749'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q717318'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Sumitomo Group'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Tokyo Stock Exchange'}, 'tickerLabel': {'type': 'literal', 'value': '6701'}}\n",
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q207784'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Square Enix'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P355'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q105730233'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'SQEX Novel'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'OTC Link ATS - OTC Markets'}, 'tickerLabel': {'type': 'literal', 'value': 'SQNXF'}}\n",
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q170614'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Ryanair'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P355'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q55165235'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Buzz'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'NASDAQ - All Markets'}, 'tickerLabel': {'type': 'literal', 'value': 'RYAAY'}}\n",
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q170614'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Ryanair'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P355'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q472129'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Laudamotion GmbH'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Irish Stock Exchange - All Market'}, 'tickerLabel': {'type': 'literal', 'value': 'RYA'}}\n",
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q217493'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Paradox Interactive'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P355'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q1433597'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'White Wolf Publishing'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'OTC Link ATS - OTC Markets'}, 'tickerLabel': {'type': 'literal', 'value': 'PRXXF'}}\n",
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q159433'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': '3M'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P355'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q30289694'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': '3M (United Kingdom)'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'New York Stock Exchange,  Inc.'}, 'tickerLabel': {'type': 'literal', 'value': 'MMM'}}\n",
            "{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q170614'}, 'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Ryanair'}, 'relationship': {'type': 'uri', 'value': 'http://www.wikidata.org/prop/direct/P355'}, 'relatedCompany': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q55165235'}, 'relatedCompanyLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Buzz'}, 'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'London Stock Exchange'}, 'tickerLabel': {'type': 'literal', 'value': 'RYA'}}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "with open('results.json', 'w') as f:\n",
        "  json.dump(results['results']['bindings'], f)\n"
      ],
      "metadata": {
        "id": "F0JDqVXZzsdz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#✅ It works!\n",
        "Ok, now we need to transform to the format of Chunk Mappers, which is our Finance NLP Annotator allowing us to store data and map it to, for example, NER entities we have extracted."
      ],
      "metadata": {
        "id": "NgxbBqdxyt5U"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "with open('results.json', 'r') as f:\n",
        "  company_json = json.load(f)"
      ],
      "metadata": {
        "id": "KV1inqIHy4KQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "company_json[:5]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FULAP8C70fcY",
        "outputId": "c11bdf58-4fb6-498c-cc4b-19be7d5b4ef5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[{'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q1144929'},\n",
              "  'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Lafarge'},\n",
              "  'relationship': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/prop/direct/P355'},\n",
              "  'relatedCompany': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/entity/Q16995829'},\n",
              "  'relatedCompanyLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'Lafarge Tarmac'},\n",
              "  'exchangeLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Euronext'},\n",
              "  'tickerLabel': {'type': 'literal', 'value': 'LG'}},\n",
              " {'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q790686'},\n",
              "  'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Avex Group'},\n",
              "  'relationship': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/prop/direct/P355'},\n",
              "  'relatedCompany': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/entity/Q3266796'},\n",
              "  'relatedCompanyLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'cutting edge'},\n",
              "  'exchangeLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'Tokyo Stock Exchange'},\n",
              "  'tickerLabel': {'type': 'literal', 'value': '7860'}},\n",
              " {'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q1344736'},\n",
              "  'itemLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'Entertainment One'},\n",
              "  'relationship': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/prop/direct/P355'},\n",
              "  'relatedCompany': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/entity/Q2964928'},\n",
              "  'relatedCompanyLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'Christal Films'},\n",
              "  'exchangeLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'London Stock Exchange'},\n",
              "  'tickerLabel': {'type': 'literal', 'value': 'ETO'}},\n",
              " {'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q219203'},\n",
              "  'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'NEC'},\n",
              "  'relationship': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/prop/direct/P749'},\n",
              "  'relatedCompany': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/entity/Q717318'},\n",
              "  'relatedCompanyLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'Sumitomo Group'},\n",
              "  'exchangeLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'Tokyo Stock Exchange'},\n",
              "  'tickerLabel': {'type': 'literal', 'value': '6701'}},\n",
              " {'id': {'type': 'uri', 'value': 'http://www.wikidata.org/entity/Q207784'},\n",
              "  'itemLabel': {'xml:lang': 'en', 'type': 'literal', 'value': 'Square Enix'},\n",
              "  'relationship': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/prop/direct/P355'},\n",
              "  'relatedCompany': {'type': 'uri',\n",
              "   'value': 'http://www.wikidata.org/entity/Q105730233'},\n",
              "  'relatedCompanyLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'SQEX Novel'},\n",
              "  'exchangeLabel': {'xml:lang': 'en',\n",
              "   'type': 'literal',\n",
              "   'value': 'OTC Link ATS - OTC Markets'},\n",
              "  'tickerLabel': {'type': 'literal', 'value': 'SQNXF'}}]"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "ChunkMappers need an array of dictionaries.\n",
        "\n",
        "Each position in the array will be a company. A position in the array should have a `key` and `relations`.\n",
        "\n",
        "The `key` will be the name of a company. And the relations, a series of `has_` relations as `has_ticker`, `has_stock_exchange`, etc., including all the subsidiary/other companies it's parent of."
      ],
      "metadata": {
        "id": "KcQ4UXUn04rg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_for_chunkmapper = {'mappings': []}\n",
        "\n",
        "for t in company_json:\n",
        "\n",
        "  org = t['itemLabel']['value']\n",
        "\n",
        "  c_dict = dict()\n",
        "  c_dict['key'] = org\n",
        "  c_dict['relations'] = list()\n",
        "\n",
        "  #Let's add the relations!\n",
        "  # First, we keep the URI to link the ORG to wikidata\n",
        "  uri = t['id']['value']\n",
        "  c_dict['relations'].append({'key': 'has_uri', 'values': [uri]})\n",
        "  # Then, language\n",
        "  lan = t['itemLabel']['xml:lang']\n",
        "  c_dict['relations'].append({'key': 'has_language', 'values': [lan]})\n",
        "  # Then, ticker\n",
        "  ticker = t['tickerLabel']['value']\n",
        "  c_dict['relations'].append({'key': 'has_ticker', 'values': [ticker]})\n",
        "  # Then, Stock Exchange\n",
        "  exchange = t['exchangeLabel']['value']\n",
        "  c_dict['relations'].append({'key': 'has_exchange', 'values': [exchange]})\n",
        "  # The related Company Label\n",
        "  rcl = t['relatedCompanyLabel']['value']\n",
        "  c_dict['relations'].append({'key': 'related_company', 'values': [rcl]})\n",
        "  \n",
        "  # Let's add the dictionary to our array for training the ChunkMapper\n",
        "  data_for_chunkmapper['mappings'].append(c_dict)\n",
        "  "
      ],
      "metadata": {
        "id": "owiLg6WP1Zh9"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#✅ In case several rows are returned...\n",
        "Wikidata may return many rows per ORG. For example, imagine several subsidiaries of one company.\n",
        "\n",
        "Here you will find the code to merge all the subsidiaries in 1 entry (required by the ChunkMapper to be unique).\n"
      ],
      "metadata": {
        "id": "4754wrWz4eLN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_for_chunkmapper = {'mappings': []}\n",
        "\n",
        "for t in company_json:\n",
        "\n",
        "  org = t['itemLabel']['value']\n",
        "\n",
        "  # Is the entry for ORG new?\n",
        "  entry = next(filter(lambda x: x['key'] == org, data_for_chunkmapper['mappings']), None)\n",
        "\n",
        "  if entry is None:\n",
        "    c_dict = dict()\n",
        "    c_dict['key'] = org\n",
        "    c_dict['relations'] = list()\n",
        "\n",
        "    #Let's add the relations!\n",
        "    # First, we keep the URI to link the ORG to wikidata\n",
        "    uri = t['id']['value']\n",
        "    c_dict['relations'].append({'key': 'has_uri', 'values': [uri]})\n",
        "    # Then, language\n",
        "    lan = t['itemLabel']['xml:lang']\n",
        "    c_dict['relations'].append({'key': 'has_language', 'values': [lan]})\n",
        "    # Then, ticker\n",
        "    ticker = t['tickerLabel']['value']\n",
        "    c_dict['relations'].append({'key': 'has_ticker', 'values': [ticker]})\n",
        "    # Then, Stock Exchange\n",
        "    exchange = t['exchangeLabel']['value']\n",
        "    c_dict['relations'].append({'key': 'has_exchange', 'values': [exchange]})\n",
        "    # The related Company Label\n",
        "    rcl = t['relatedCompanyLabel']['value']\n",
        "    c_dict['relations'].append({'key': 'has_related_company_label', 'values': [rcl]})\n",
        "    # Let's add the dictionary to our array for training the ChunkMapper\n",
        "    data_for_chunkmapper['mappings'].append(c_dict)\n",
        "  else:\n",
        "    # The company entry exists, I just add a new related company\n",
        "    rcu = t['relatedCompany']['value']\n",
        "\n",
        "    for r in entry['relations']:\n",
        "      if r['key'] == 'has_related_company_label':\n",
        "        if rcl not in r['values']:\n",
        "          r['values'].append(rcl)\n",
        "  \n",
        "  "
      ],
      "metadata": {
        "id": "RXiSNegE510h"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_for_chunkmapper"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7RxujIfu5s71",
        "outputId": "2a3ba515-562b-48ed-cd4b-c640332da75c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'mappings': [{'key': 'Lafarge',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q1144929']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['LG']},\n",
              "    {'key': 'has_exchange', 'values': ['Euronext']},\n",
              "    {'key': 'has_related_company_label', 'values': ['Lafarge Tarmac']}]},\n",
              "  {'key': 'Avex Group',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q790686']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['7860']},\n",
              "    {'key': 'has_exchange', 'values': ['Tokyo Stock Exchange']},\n",
              "    {'key': 'has_related_company_label', 'values': ['cutting edge']}]},\n",
              "  {'key': 'Entertainment One',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q1344736']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['ETO']},\n",
              "    {'key': 'has_exchange', 'values': ['London Stock Exchange']},\n",
              "    {'key': 'has_related_company_label', 'values': ['Christal Films']}]},\n",
              "  {'key': 'NEC',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q219203']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['6701']},\n",
              "    {'key': 'has_exchange', 'values': ['Tokyo Stock Exchange']},\n",
              "    {'key': 'has_related_company_label', 'values': ['Sumitomo Group']}]},\n",
              "  {'key': 'Square Enix',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q207784']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['SQNXF']},\n",
              "    {'key': 'has_exchange', 'values': ['OTC Link ATS - OTC Markets']},\n",
              "    {'key': 'has_related_company_label', 'values': ['SQEX Novel']}]},\n",
              "  {'key': 'Ryanair',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q170614']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['RYAAY']},\n",
              "    {'key': 'has_exchange', 'values': ['NASDAQ - All Markets']},\n",
              "    {'key': 'has_related_company_label',\n",
              "     'values': ['Buzz', '3M (United Kingdom)']}]},\n",
              "  {'key': 'Paradox Interactive',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q217493']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['PRXXF']},\n",
              "    {'key': 'has_exchange', 'values': ['OTC Link ATS - OTC Markets']},\n",
              "    {'key': 'has_related_company_label',\n",
              "     'values': ['White Wolf Publishing']}]},\n",
              "  {'key': '3M',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q159433']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['MMM']},\n",
              "    {'key': 'has_exchange', 'values': ['New York Stock Exchange,  Inc.']},\n",
              "    {'key': 'has_related_company_label', 'values': ['3M (United Kingdom)']}]}]}"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "with open('training.json', 'w') as f:\n",
        "  json.dump(data_for_chunkmapper, f)"
      ],
      "metadata": {
        "id": "FKRw5u5NAhV5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#✅ Training the ChunkMapper"
      ],
      "metadata": {
        "id": "YMqtt3s25lRG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "with open('training.json', 'r') as f:\n",
        "  training_data = json.load(f)"
      ],
      "metadata": {
        "id": "UesnbPZ8BDfB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "training_data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QaXNSpkPBJ8h",
        "outputId": "784b0174-bd45-4972-b048-dd444ba15bd3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'mappings': [{'key': 'Lafarge',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q1144929']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['LG']},\n",
              "    {'key': 'has_exchange', 'values': ['Euronext']},\n",
              "    {'key': 'has_related_company_label', 'values': ['Lafarge Tarmac']}]},\n",
              "  {'key': 'Avex Group',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q790686']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['7860']},\n",
              "    {'key': 'has_exchange', 'values': ['Tokyo Stock Exchange']},\n",
              "    {'key': 'has_related_company_label', 'values': ['cutting edge']}]},\n",
              "  {'key': 'Entertainment One',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q1344736']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['ETO']},\n",
              "    {'key': 'has_exchange', 'values': ['London Stock Exchange']},\n",
              "    {'key': 'has_related_company_label', 'values': ['Christal Films']}]},\n",
              "  {'key': 'NEC',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q219203']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['6701']},\n",
              "    {'key': 'has_exchange', 'values': ['Tokyo Stock Exchange']},\n",
              "    {'key': 'has_related_company_label', 'values': ['Sumitomo Group']}]},\n",
              "  {'key': 'Square Enix',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q207784']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['SQNXF']},\n",
              "    {'key': 'has_exchange', 'values': ['OTC Link ATS - OTC Markets']},\n",
              "    {'key': 'has_related_company_label', 'values': ['SQEX Novel']}]},\n",
              "  {'key': 'Ryanair',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q170614']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['RYAAY']},\n",
              "    {'key': 'has_exchange', 'values': ['NASDAQ - All Markets']},\n",
              "    {'key': 'has_related_company_label',\n",
              "     'values': ['Buzz', '3M (United Kingdom)']}]},\n",
              "  {'key': 'Paradox Interactive',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q217493']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['PRXXF']},\n",
              "    {'key': 'has_exchange', 'values': ['OTC Link ATS - OTC Markets']},\n",
              "    {'key': 'has_related_company_label',\n",
              "     'values': ['White Wolf Publishing']}]},\n",
              "  {'key': '3M',\n",
              "   'relations': [{'key': 'has_uri',\n",
              "     'values': ['http://www.wikidata.org/entity/Q159433']},\n",
              "    {'key': 'has_language', 'values': ['en']},\n",
              "    {'key': 'has_ticker', 'values': ['MMM']},\n",
              "    {'key': 'has_exchange', 'values': ['New York Stock Exchange,  Inc.']},\n",
              "    {'key': 'has_related_company_label', 'values': ['3M (United Kingdom)']}]}]}"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "example_parent_org = training_data['mappings'][0]['key']\n",
        "example_parent_org"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "O7Pl-1KIDH6f",
        "outputId": "45db84dd-964c-4d83-8302-1c9711283104"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Lafarge'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "all_rels = [x['key'] for x in training_data['mappings'][0]['relations']]\n",
        "all_rels"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Shv-Vy9tBCPh",
        "outputId": "37978f10-22f1-4b7d-bcd9-f1ccd6b3892a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['has_uri',\n",
              " 'has_language',\n",
              " 'has_ticker',\n",
              " 'has_exchange',\n",
              " 'has_related_company_label']"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from johnsnowlabs import finance\n",
        "\n",
        "# To allow searches by Levenshtein Distance, we enable Fuzzy Matching\n",
        "chunkerMapper = finance.ChunkMapperApproach()\\\n",
        "      .setInputCols([\"ner_chunk\"])\\\n",
        "      .setOutputCol(\"mappings\")\\\n",
        "      .setDictionary(\"training.json\")\\\n",
        "      .setEnableFuzzyMatching(True)\\\n",
        "      .setRels(all_rels)"
      ],
      "metadata": {
        "id": "ygfbw_MMAy1J"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "empty_dataset = spark.createDataFrame([[]])"
      ],
      "metadata": {
        "id": "S-XjnSyQCmOM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fitCM = chunkerMapper.fit(empty_dataset)"
      ],
      "metadata": {
        "id": "X1Ml6JaCCmml"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fitCM.write().overwrite().save('finmapper_example')"
      ],
      "metadata": {
        "id": "lsf31nq7CsxQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#✅ Using it to augment NER chunks with Wikidata\n",
        "Now, let's see what happens after finding an NER chunk which is in our Wikidata."
      ],
      "metadata": {
        "id": "3Pv4ShHM0d1g"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "documentAssembler = nlp.DocumentAssembler()\\\n",
        "        .setInputCol(\"text\")\\\n",
        "        .setOutputCol(\"document\")\n",
        "        \n",
        "textSplitter = finance.TextSplitter()\\\n",
        "        .setInputCols([\"document\"])\\\n",
        "        .setOutputCol(\"sentence\")\n",
        "\n",
        "tokenizer = nlp.Tokenizer()\\\n",
        "        .setInputCols([\"sentence\"])\\\n",
        "        .setOutputCol(\"token\")\n",
        "\n",
        "embeddings = nlp.BertEmbeddings.pretrained(\"bert_embeddings_sec_bert_base\",\"en\") \\\n",
        "        .setInputCols([\"sentence\", \"token\"]) \\\n",
        "        .setOutputCol(\"embeddings\")\n",
        "\n",
        "ner_model = finance.NerModel.pretrained('finner_orgs_prods_alias', 'en', 'finance/models')\\\n",
        "        .setInputCols([\"sentence\", \"token\", \"embeddings\"])\\\n",
        "        .setOutputCol(\"ner\")\n",
        "\n",
        "ner_converter = nlp.NerConverter()\\\n",
        "        .setInputCols([\"sentence\",\"token\",\"ner\"])\\\n",
        "        .setOutputCol(\"ner_chunk\")\n",
        "\n",
        "CM = finance.ChunkMapperModel()\\\n",
        "      .load('finmapper_example')\\\n",
        "      .setEnableFuzzyMatching(True)\\\n",
        "      .setInputCols([\"ner_chunk\"])\\\n",
        "      .setOutputCol(\"mappings\")\n",
        "\n",
        "nlpPipeline = nlp.Pipeline(stages=[\n",
        "        documentAssembler,\n",
        "        textSplitter,\n",
        "        tokenizer,\n",
        "        embeddings,\n",
        "        ner_model,\n",
        "        ner_converter,\n",
        "        CM\n",
        "])\n",
        "\n",
        "text = f\"\"\"{example_parent_org} is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, \n",
        "apparel, equipment, accessories, and services\"\"\"\n",
        "\n",
        "test_data = spark.createDataFrame([[text]]).toDF(\"text\")\n",
        "\n",
        "model = nlpPipeline.fit(test_data)\n",
        "res= model.transform(test_data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wbL6m0dHDBae",
        "outputId": "5ba52028-f88e-4549-a3dc-85c77c9f3db2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "bert_embeddings_sec_bert_base download started this may take some time.\n",
            "Approximate size to download 390.4 MB\n",
            "[OK!]\n",
            "finner_orgs_prods_alias download started this may take some time.\n",
            "[OK!]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "res.select('ner_chunk.result', 'mappings.result').show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J3s2j1M_DmMI",
        "outputId": "6bb79be1-d3ba-4f4d-f3a5-8222176d42e0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "+---------+--------------------+\n",
            "|   result|              result|\n",
            "+---------+--------------------+\n",
            "|[Lafarge]|[http://www.wikid...|\n",
            "+---------+--------------------+\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#🚀 Let's collect the data!\n"
      ],
      "metadata": {
        "id": "sqEvBkFLDvPu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "collected = res.collect()[0]\n",
        "for row in collected['mappings']:\n",
        "  print(f\"{row['metadata']['entity']} -> {row['metadata']['relation']} -> {row.result}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "riIJIzvZD3DP",
        "outputId": "cf4452a8-bb59-4e8d-da65-f575934faed7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Lafarge -> has_uri -> http://www.wikidata.org/entity/Q1144929\n",
            "Lafarge -> has_language -> en\n",
            "Lafarge -> has_ticker -> LG\n",
            "Lafarge -> has_exchange -> Euronext\n",
            "Lafarge -> has_related_company_label -> Lafarge Tarmac\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Why don't we create a knowledge graph with this information❓\n",
        "This could help us get track, query using Graph Engines and visualize our results."
      ],
      "metadata": {
        "id": "hKbCmZEPFDPg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import plotly.graph_objects as go\n",
        "import random\n",
        "\n",
        "def get_nodes_from_graph(graph, pos, node_color):\n",
        "  \"\"\"Extracts the nodes from a networkX dataframe in Plotly Scatterplot format\"\"\"\n",
        "  node_x = []\n",
        "  node_y = []\n",
        "  texts = []\n",
        "  hovers = []\n",
        "  for node in graph.nodes():\n",
        "    entity = graph.nodes[node]['attr_dict']['entity']\n",
        "    x, y = pos[node]\n",
        "    node_x.append(x)\n",
        "    node_y.append(y)\n",
        "    texts.append(node)\n",
        "    hovers.append(entity)\n",
        "\n",
        "  node_trace = go.Scatter(\n",
        "    x=node_x, y=node_y, text=texts, hovertext=hovers,\n",
        "    mode='markers+text',\n",
        "    hoverinfo='text',\n",
        "    marker=dict(\n",
        "        color=node_color,\n",
        "        size=40,\n",
        "        line_width=2))\n",
        "  \n",
        "  return node_trace\n",
        "\n",
        "\n",
        "def get_edges_from_graph(graph, pos, edge_color):\n",
        "  \"\"\"Extracts the edges from a networkX dataframe in Plotly Scatterplot format\"\"\"\n",
        "  edge_x = []\n",
        "  edge_y = []\n",
        "  hovers = []\n",
        "  xtext = []\n",
        "  ytext = []\n",
        "  for edge in graph.edges():\n",
        "    relation = graph.edges[edge]['attr_dict']['relation']\n",
        "    x0, y0 = pos[edge[0]]\n",
        "    x1, y1 = pos[edge[1]]\n",
        "    edge_x.append(x0)\n",
        "    edge_x.append(x1)\n",
        "    edge_x.append(None)\n",
        "    edge_y.append(y0)\n",
        "    edge_y.append(y1)\n",
        "    edge_y.append(None)\n",
        "    hovers.append(relation)\n",
        "    xtext.append((x0+x1)/2)\n",
        "    ytext.append((y0+y1)/2)\n",
        "\n",
        "  edge_trace = go.Scatter(\n",
        "    x=edge_x, y=edge_y,\n",
        "    line=dict(width=2, color=edge_color),\n",
        "    mode='lines')\n",
        "  \n",
        "  labels_trace = go.Scatter(x=xtext,y= ytext, mode='text',\n",
        "                              textfont = {'color': edge_color},\n",
        "                              marker_size=0.5,\n",
        "                              text=hovers,\n",
        "                              textposition='top center',\n",
        "                              hovertemplate='weight: %{text}')\n",
        "  return edge_trace, labels_trace\n",
        "\n",
        "\n",
        "def show_graph_in_plotly(graph, node_color='white', edge_color='grey'):\n",
        "  \"\"\"Shows Plotly graph in Databricks\"\"\"\n",
        "  pos = nx.spring_layout(graph)\n",
        "  node_trace = get_nodes_from_graph(graph, pos, node_color)\n",
        "  edge_trace, labels_trace = get_edges_from_graph(graph, pos, edge_color)\n",
        "  fig = go.Figure(data=[edge_trace, node_trace, labels_trace],\n",
        "               layout=go.Layout(\n",
        "                  title='Visualization',\n",
        "                  titlefont_size=16,                   \n",
        "                  showlegend=False,\n",
        "                  width=1600,\n",
        "                  height=1000,\n",
        "                  xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),\n",
        "                  yaxis=dict(showgrid=False, zeroline=False, showticklabels=False))\n",
        "                  )\n",
        "  fig.update_traces(marker=dict(size=12,\n",
        "                              line=dict(width=2,\n",
        "                                        color='DarkSlateGrey')),\n",
        "                  selector=dict(mode='markers')) \n",
        "  fig.show()"
      ],
      "metadata": {
        "id": "9Gq3Pr_NFcwY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import networkx as nx\n",
        "G = nx.Graph()\n",
        "\n",
        "G.clear()\n",
        "G.nodes()\n",
        "     "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qINt_IjRD-7L",
        "outputId": "41e9f485-f757-443e-81f7-f35232fd93e7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NodeView(())"
            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for row in collected['mappings']:\n",
        "  from_node = row['metadata']['entity']\n",
        "  to_node = row.result\n",
        "  relation = row['metadata']['relation']\n",
        "  to_node_type = relation.replace('has_', '')\n",
        "  G.add_node(from_node, attr_dict={'entity': 'ORG'}) # Will ignore if exists\n",
        "  G.add_node(to_node, attr_dict={'entity': to_node_type}) # Will ignore if exists\n",
        "  G.add_edge(from_node, to_node, attr_dict={'relation': relation})"
      ],
      "metadata": {
        "id": "v5Ft-aNzFUSa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "show_graph_in_plotly(G)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ciNF6AW9GJV0",
        "outputId": "b05dbfa4-e92e-43d5-e49e-0ee2884043c1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
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