{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0u1ezfX3zhEe"
      },
      "source": [
        "# Download data and libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YVage4fCRGtX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "550422e1-8e99-464f-8886-4a5ebe640c40"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m20.9/20.9 MB\u001b[0m \u001b[31m13.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.1/1.1 MB\u001b[0m \u001b[31m20.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m657.8/657.8 kB\u001b[0m \u001b[31m14.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ],
      "source": [
        "!pip install -Uqq underthesea"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Install PyDrive\n",
        "!pip install -U -q PyDrive\n",
        "\n",
        "from pydrive.auth import GoogleAuth\n",
        "from pydrive.drive import GoogleDrive\n",
        "from google.colab import auth\n",
        "from oauth2client.client import GoogleCredentials\n",
        "\n",
        "# Authenticate and create the PyDrive client\n",
        "auth.authenticate_user()\n",
        "gauth = GoogleAuth()\n",
        "gauth.credentials = GoogleCredentials.get_application_default()\n",
        "drive = GoogleDrive(gauth)\n",
        "\n",
        "file_ids = {\n",
        "    'word2vec.txt': '1L9DdOOeonW_PpZ7ixuS-WtgXhE7GbOwA'\n",
        "}\n",
        "\n",
        "# Download file\n",
        "for filename, file_id in file_ids.items():\n",
        "    downloaded = drive.CreateFile({'id': file_id})\n",
        "    downloaded.GetContentFile(filename)\n",
        "    print(f\"Downloaded {filename}\")\n"
      ],
      "metadata": {
        "id": "lSRqE1L6PPzF",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c0679c6c-49bc-40bb-9c8c-04019fc8e6ea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:root:pydrive is deprecated and no longer maintained. We recommend that you migrate your projects to pydrive2, the maintained fork of pydrive\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloaded word2vec.txt\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "snMOKwOyIdKW"
      },
      "source": [
        "# Load pretrained Vietnamese word2vec"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2eTR2kPh4RJ4"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "import torchtext.vocab as vocab\n",
        "\n",
        "word_embedding = vocab.Vectors(name = \"word2vec.txt\",\n",
        "                               unk_init = torch.Tensor.normal_)\n",
        "\n",
        "word_embedding.vectors.shape"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "WuS_afJUHYE2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "word_embedding.vectors.shape\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "21JO2BJZHYKZ",
        "outputId": "550dfc94-6e77-4685-8f82-b8747132229f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([6250, 100])"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Lưu ma trận word embeddings vào một tệp bằng torch.save()\n",
        "torch.save(word_embedding, 'word_embeddings.pt')"
      ],
      "metadata": {
        "id": "K9skF9B1H_RZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "HLlGJZx8H_UD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "word_vectors_loaded = torch.load('word_embeddings.pt')"
      ],
      "metadata": {
        "id": "KyZ9o6NcH_Xk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "word_embedding= word_vectors_loaded"
      ],
      "metadata": {
        "id": "Dll1g_BbDcVU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "word_vectors_loaded.vectors.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fY1PtdgUHYNx",
        "outputId": "1cc0488a-8c1b-4b8a-f85a-5e18307c0f74"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([6250, 100])"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Q7zEHgAFJH0K"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8vVipzI7jKlR"
      },
      "outputs": [],
      "source": [
        "def get_vector(embeddings, word):\n",
        "    \"\"\" Get embedding vector of the word\n",
        "    @param embeddings (torchtext.vocab.vectors.Vectors)\n",
        "    @param word (str)\n",
        "    @return vector (torch.Tensor)\n",
        "    \"\"\"\n",
        "    assert word in embeddings.stoi, f'*{word}* is not in the vocab!'\n",
        "    return embeddings.vectors[embeddings.stoi[word]]\n",
        "\n",
        "def closest_words(embeddings, vector, n=10):\n",
        "    \"\"\" Return n words closest in meaning to the word\n",
        "    @param embeddings (torchtext.vocab.vectors.Vectors)\n",
        "    @param vector (torch.Tensor)\n",
        "    @param n (int)\n",
        "    @return words (list(tuple(str, float)))\n",
        "    \"\"\"\n",
        "    distances = [(word, torch.dist(vector, get_vector(embeddings, word)).item())\n",
        "                 for word in embeddings.itos]\n",
        "\n",
        "    return sorted(distances, key = lambda w: w[1])[:n]\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "gsKkpc6wJq3V"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "get_vector(word_embedding, \"=))\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6ftyufxcJsEp",
        "outputId": "0b9c13d0-0212-4a08-ac17-31acea57a9be"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([-0.0524,  0.2198,  0.0341,  0.0667,  0.0685, -0.3448,  0.2243,  0.5017,\n",
              "        -0.3036, -0.0485, -0.0718, -0.3842, -0.1026,  0.1339, -0.0350, -0.1742,\n",
              "         0.0753, -0.2906, -0.0184, -0.3389,  0.0839,  0.0182,  0.0064, -0.2174,\n",
              "        -0.0853,  0.0883, -0.1861, -0.1856, -0.0943, -0.0368,  0.3119,  0.0282,\n",
              "         0.1105, -0.1238, -0.0523,  0.3661,  0.1174, -0.1860, -0.1242, -0.4322,\n",
              "         0.0259, -0.2256, -0.0914,  0.1299,  0.2600,  0.0305, -0.2786, -0.0546,\n",
              "         0.1725,  0.1289,  0.1099, -0.2924, -0.1014,  0.0305, -0.3265,  0.1585,\n",
              "         0.1648, -0.1246, -0.3224,  0.0570, -0.0238,  0.1210, -0.0639, -0.0445,\n",
              "        -0.2806,  0.1889,  0.0547,  0.2162, -0.2127,  0.2026, -0.4158,  0.1253,\n",
              "         0.2521, -0.1904,  0.3012,  0.1421, -0.0155,  0.1912, -0.3584,  0.1201,\n",
              "        -0.0571,  0.0419, -0.2927,  0.2666, -0.0123,  0.0570,  0.0271,  0.2038,\n",
              "         0.2482,  0.0273,  0.2204,  0.1571,  0.0307, -0.0453,  0.3166,  0.1144,\n",
              "         0.0649, -0.1665,  0.1764, -0.0072])"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "D6cm01PKJsIE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "fLcFpGVtJ03V"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "word_vector = get_vector(word_embedding, 'vl')\n",
        "closest_words(word_embedding, word_vector)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WJ-BygyzQFT1",
        "outputId": "c2dc0471-746c-4b81-aece-ff7be2061640"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('vl', 0.0),\n",
              " ('porto', 0.08383642137050629),\n",
              " ('tư', 0.08441320806741714),\n",
              " ('🤣🤣🤣', 0.08574710041284561),\n",
              " ('đôi', 0.08643840253353119),\n",
              " ('ác', 0.08719383180141449),\n",
              " ('ngu', 0.08817220479249954),\n",
              " ('Khánh', 0.08846817910671234),\n",
              " (':)', 0.08860653638839722),\n",
              " ('bình', 0.08883475512266159)]"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_Bj5im3czmtH"
      },
      "source": [
        "# Vocabulary.py"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JDWkevH2VdBn"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "from underthesea import word_tokenize\n",
        "\n",
        "\n",
        "class Vocabulary:\n",
        "    \"\"\" The Vocabulary class is used to record words, which are used to convert\n",
        "        text to numbers and vice versa.\n",
        "    \"\"\"\n",
        "\n",
        "    def __init__(self):\n",
        "        self.word2id = dict()\n",
        "        self.word2id['<pad>'] = 0   # Pad Token\n",
        "        self.word2id['<unk>'] = 1   # Unknown Token\n",
        "        self.unk_id = self.word2id['<unk>']\n",
        "        self.id2word = {v: k for k, v in self.word2id.items()}\n",
        "\n",
        "    def __getitem__(self, word):\n",
        "        return self.word2id.get(word, self.unk_id)\n",
        "\n",
        "    def __contains__(self, word):\n",
        "        return word in self.word2id\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.word2id)\n",
        "\n",
        "    def id2word(self, word_index):\n",
        "        \"\"\"\n",
        "        @param word_index (int)\n",
        "        @return word (str)\n",
        "        \"\"\"\n",
        "        return self.id2word[word_index]\n",
        "\n",
        "    def add(self, word):\n",
        "        \"\"\" Add word to vocabulary\n",
        "        @param word (str)\n",
        "        @return index (str): index of the word just added\n",
        "        \"\"\"\n",
        "        if word not in self:\n",
        "            word_index = self.word2id[word] = len(self.word2id)\n",
        "            self.id2word[word_index] = word\n",
        "            return word_index\n",
        "        else:\n",
        "            return self[word]\n",
        "\n",
        "    @staticmethod\n",
        "    def tokenize_corpus(corpus):\n",
        "        \"\"\"Split the documents of the corpus into words\n",
        "        @param corpus (list(str)): list of documents\n",
        "        @return tokenized_corpus (list(list(str))): list of words\n",
        "        \"\"\"\n",
        "        tokenized_corpus = list()\n",
        "        for document in corpus:\n",
        "            tokenized_document = [word.replace(\" \", \"_\") for word in word_tokenize(document)]\n",
        "            tokenized_corpus.append(tokenized_document)\n",
        "\n",
        "        return tokenized_corpus\n",
        "\n",
        "    def corpus_to_tensor(self, corpus, is_tokenized=False):\n",
        "        \"\"\" Convert corpus to a list of indices tensor\n",
        "        @param corpus (list(str) if is_tokenized==False else list(list(str)))\n",
        "        @param is_tokenized (bool)\n",
        "        @return indicies_corpus (list(tensor))\n",
        "        \"\"\"\n",
        "        if is_tokenized:\n",
        "            tokenized_corpus = corpus\n",
        "        else:\n",
        "            tokenized_corpus = self.tokenize_corpus(corpus)\n",
        "        indicies_corpus = list()\n",
        "        for document in tokenized_corpus:\n",
        "            indicies_document = torch.tensor(list(map(lambda word: self[word], document)),\n",
        "                                             dtype=torch.int64)\n",
        "            indicies_corpus.append(indicies_document)\n",
        "\n",
        "        return indicies_corpus\n",
        "\n",
        "    def tensor_to_corpus(self, tensor):\n",
        "        \"\"\" Convert list of indices tensor to a list of tokenized documents\n",
        "        @param indicies_corpus (list(tensor))\n",
        "        @return corpus (list(list(str)))\n",
        "        \"\"\"\n",
        "        corpus = list()\n",
        "        for indicies in tensor:\n",
        "            document = list(map(lambda index: self.id2word[index.item()], indicies))\n",
        "            corpus.append(document)\n",
        "\n",
        "        return corpus\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "OUPIwl8VNm2o"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "oew13bY-Nm83"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def indices2embeddings(tensor, word_embedding):\n",
        "    for sentence_tensor in tensor:\n",
        "        sentence_embeddings = []\n",
        "        for index in sentence_tensor:\n",
        "            if index < len(word_embedding.vectors) and index >= 2:\n",
        "                word_embed = word_embedding.vectors[index-2]\n",
        "                sentence_embeddings.append(word_embed)\n",
        "            #else:\n",
        "                #print(f\"Index '{index}' out of range of the embedding vocabulary.\")\n",
        "        sentence_embeddings_tensor = torch.stack(sentence_embeddings)\n",
        "        print(sentence_embeddings_tensor)\n",
        "        print(\"Size :\", sentence_embeddings_tensor.size())"
      ],
      "metadata": {
        "id": "cs0J-e5O_Irv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "r4oM-dAhOuZb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "478b374b-89d5-46af-ffe3-37d63cc72047"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['iu', 'nhất', 'thế_giới', '😊'],\n",
              " ['béo', 'có', 'tội_gì', 'chứ', '😞'],\n",
              " ['tao', 'hiểu', ':))', 'và', 'tao', 'đã', 'chấm_dứt', 'ngay', '😏']]"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "corpus_sample = [\"iu nhất thế giới😊\",\n",
        "                 \"béo có tội gì chứ😞\",\n",
        "                 \"tao hiểu :)) và tao đã chấm dứt ngay😏\"]\n",
        "\n",
        "Vocabulary.tokenize_corpus(corpus_sample)"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "92F39QYXbD7u"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Ac4Od2rqeTL4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AjQyzXf-mKt5"
      },
      "outputs": [],
      "source": [
        "vocab = Vocabulary()\n",
        "\n",
        "# create vocabulary from pretrained word2vec\n",
        "words_list = list(word_embedding.stoi.keys())\n",
        "for word in words_list:\n",
        "    vocab.add(word)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "vocab.__len__()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QnVnzcCrUcuh",
        "outputId": "c18b9f2e-e5a6-48d9-b11b-73dd5348d7db"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6252"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Check if a word is in vocab\n",
        "\n",
        "vocab.__contains__(\"'cộng_đồng'\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0Xht6ttlY91n",
        "outputId": "51d0131b-45ce-4a4e-b775-f8e064b94e56"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "QDJo3ifKUc0D"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# test the vocabulary\n",
        "tensor = vocab.corpus_to_tensor(corpus_sample)\n",
        "corpus = vocab.tensor_to_corpus(tensor)\n",
        "\" \".join(corpus[0])\n",
        "# >> 'Với cộng_đồng người Bách Việt trước đây , việc <unk> mèo cũng có_thể theo cách_thức như_vậy .'"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "eVfQj7qiUZVC",
        "outputId": "4b8363f0-0985-41f1-ca98-3f322e787c58"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'iu nhất <unk> 😊'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tensor"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z1-UIJ8E50Oo",
        "outputId": "d6b92843-7242-4c70-a52a-286fb5ee6129"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[tensor([ 672,  153,    1, 1850]),\n",
              " tensor([   1,    4,    1,   35, 1011]),\n",
              " tensor([ 187,  179,   49,   41,  187,   60,    1,  473, 3662])]"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "indices2embeddings(tensor, word_embedding)"
      ],
      "metadata": {
        "id": "bEtM7v_N6KAv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JqryaYlKzrUC"
      },
      "source": [
        "# Dataset"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "7ISVBtofEt2s"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uRlIfvhsXqKL"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import torch\n",
        "from torch.utils.data import Dataset\n",
        "\n",
        "\n",
        "class Dataset(Dataset):\n",
        "    \"\"\" Load dataset from file csv\"\"\"\n",
        "\n",
        "    def __init__(self, vocab, csv_fpath=None, tokenized_fpath=None):\n",
        "        \"\"\"\n",
        "        @param vocab (Vocabulary)\n",
        "        @param csv_fpath (str)\n",
        "        @param tokenized_fpath (str)\n",
        "        \"\"\"\n",
        "        self.vocab = vocab\n",
        "        self.pad_idx = vocab[\"<pad>\"]\n",
        "        df = pd.read_csv(csv_fpath)\n",
        "        self.sentiments_list = list(df.sentiment)\n",
        "        self.reviews_list = list(df.vi_review)\n",
        "\n",
        "        sentiments_type = list(set(self.sentiments_list))\n",
        "        sentiments_type.sort()\n",
        "\n",
        "        self.sentiment2id = {sentiment: i for i, sentiment in enumerate(sentiments_type)}\n",
        "\n",
        "        if tokenized_fpath:\n",
        "            self.tokenized_reviews = torch.load(tokenized_fpath)\n",
        "        else:\n",
        "            self.tokenized_reviews = self.vocab.tokenize_corpus(self.reviews_list)\n",
        "\n",
        "        self.tensor_data = self.vocab.corpus_to_tensor(self.tokenized_reviews, is_tokenized=True)\n",
        "        self.tensor_label = torch.tensor([self.sentiment2id[sentiment] for sentiment in self.sentiments_list],\n",
        "                                         dtype=torch.float64)\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.tensor_data)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        return self.tensor_data[idx], self.tensor_label[idx]\n",
        "\n",
        "    def collate_fn(self, examples):\n",
        "        examples = sorted(examples, key=lambda e: len(e[0]), reverse=True)\n",
        "\n",
        "        reviews = [e[0] for e in examples]\n",
        "        reviews = torch.nn.utils.rnn.pad_sequence(reviews,\n",
        "                                                  batch_first=False,\n",
        "                                                  padding_value=self.pad_idx)\n",
        "        reviews_lengths = torch.tensor([len(e[0]) for e in examples])\n",
        "        sentiments = torch.tensor([e[1] for e in examples])\n",
        "\n",
        "        return {\"reviews\": (reviews, reviews_lengths), \"sentiments\": sentiments}"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "lFJialcPBws6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5BzdXxCpAeAX"
      },
      "outputs": [],
      "source": [
        "dataset = Dataset(vocab, \"Dataset.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4h1FtIow6AGa"
      },
      "outputs": [],
      "source": [
        "torch.save(dataset.tokenized_reviews, \"tokenized.pt\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "fA72kB3-rODP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LS2X1qbk_p3o"
      },
      "source": [
        "# Split data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KFonmRJB3B-c",
        "outputId": "bc84c6ff-034b-4841-8a18-6ebb04852729"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(5125, 1050)"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ],
      "source": [
        "from torch.utils.data import random_split\n",
        "\n",
        "\n",
        "split_rate = 0.83\n",
        "full_size = len(dataset)\n",
        "train_size = (int)(split_rate * full_size)\n",
        "valid_size = (full_size - train_size)\n",
        "\n",
        "train_dataset, valid_dataset = random_split(dataset,\n",
        "                                                          lengths=[train_size, valid_size])\n",
        "\n",
        "len(train_dataset), len(valid_dataset)"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "5VKmWZw8DLG8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "wwDxxRdkCJ53"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from torch.utils.data import DataLoader\n",
        "\n",
        "BATCH_SIZE = 100\n",
        "train_dataloader = DataLoader(train_dataset,\n",
        "                              batch_size=BATCH_SIZE,\n",
        "                              shuffle=True,\n",
        "                              collate_fn=dataset.collate_fn)\n",
        "valid_dataloader = DataLoader(valid_dataset,\n",
        "                              batch_size=BATCH_SIZE,\n",
        "                              shuffle=True,\n",
        "                              collate_fn=dataset.collate_fn)\n"
      ],
      "metadata": {
        "id": "RGVzmSwI7VkA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "\n",
        "# Save train_dataloader\n",
        "torch.save(train_dataloader, 'train_dataloader.pth')\n",
        "# Save valid_dataloader\n",
        "torch.save(valid_dataloader, 'valid_dataloader.pth')"
      ],
      "metadata": {
        "id": "cnVuWdXPksDt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Q7vsJDE4ksPr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "1YrAt_R6r13W"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IbrDDCwvA1QS"
      },
      "source": [
        "# Recurrent Neural Network model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bKebhWVcY4ZT"
      },
      "outputs": [],
      "source": [
        "import torch.nn as nn\n",
        "import torch\n",
        "\n",
        "class RNN(nn.Module):\n",
        "    def __init__(self, vocab_size, embedding_dim, hidden_dim, n_layers,\n",
        "                 bidirectional, dropout, pad_idx):\n",
        "        \"\"\"\n",
        "        @param vocab_size (int)\n",
        "        @param embedding_dim (int)\n",
        "        @param hidden_dim (int)\n",
        "        @param n_layers (int)\n",
        "        @param bidirectional (bool)\n",
        "        @param dropout (float)\n",
        "        @param pad_idx (int)\n",
        "        \"\"\"\n",
        "        super().__init__()\n",
        "\n",
        "        self.embedding = nn.Embedding(vocab_size, embedding_dim, padding_idx = pad_idx)\n",
        "\n",
        "        self.rnn = nn.LSTM(embedding_dim,\n",
        "                           hidden_dim,\n",
        "                           num_layers=n_layers,\n",
        "                           bidirectional=bidirectional,\n",
        "                           dropout=dropout)\n",
        "\n",
        "        self.fc = nn.Linear(hidden_dim * 2, 1)\n",
        "\n",
        "        self.dropout = nn.Dropout(dropout)\n",
        "\n",
        "    def forward(self, text, text_lengths):\n",
        "        \"\"\"\n",
        "        @param text (torch.Tensor): shape = [sent len, batch size]\n",
        "        @param text_lengths (torch.Tensor): shape = [batch size]\n",
        "        @return\n",
        "        \"\"\"\n",
        "        #text = [sent len, batch size]\n",
        "        embedded = self.dropout(self.embedding(text))\n",
        "\n",
        "        #embedded = [sent len, batch size, emb dim]\n",
        "\n",
        "        #pack sequence\n",
        "        # lengths need to be on CPU!\n",
        "        packed_embedded = nn.utils.rnn.pack_padded_sequence(embedded, text_lengths.to('cpu'))\n",
        "\n",
        "        packed_output, (hidden, cell) = self.rnn(packed_embedded)\n",
        "\n",
        "        #unpack sequence\n",
        "        output, output_lengths = nn.utils.rnn.pad_packed_sequence(packed_output)\n",
        "\n",
        "        #output = [sent len, batch size, hid dim * num directions]\n",
        "        #output over padding tokens are zero tensors\n",
        "\n",
        "        #hidden = [num layers * num directions, batch size, hid dim]\n",
        "        #cell = [num layers * num directions, batch size, hid dim]\n",
        "\n",
        "        #concat the final forward (hidden[-2,:,:]) and backward (hidden[-1,:,:]) hidden layers\n",
        "        #and apply dropout\n",
        "\n",
        "        hidden = self.dropout(torch.cat((hidden[-2,:,:], hidden[-1,:,:]), dim = 1))\n",
        "\n",
        "        #hidden = [batch size, hid dim * num directions]\n",
        "\n",
        "        return self.fc(hidden)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "hfR8B5DXxmJo"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X2W8eI0y99PO"
      },
      "source": [
        "# Train the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QY0P8iXT_kic"
      },
      "outputs": [],
      "source": [
        "import torch.optim as optim\n",
        "\n",
        "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "6mfuURfO6TRw"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IZRefC7b_xz7"
      },
      "outputs": [],
      "source": [
        "def binary_accuracy(preds, y):\n",
        "    \"\"\"\n",
        "    Returns accuracy per batch, i.e. if you get 8/10 right, this returns 0.8, NOT 8\n",
        "    @param preds (torch.Tensor): shape = [batch_size]\n",
        "    @param y (torch.Tensor): shape = [batch_size]\n",
        "    @return acc (torch.Tensor): shape = [1]\n",
        "    \"\"\"\n",
        "    #round predictions to the closest integer\n",
        "    rounded_preds = torch.round(torch.sigmoid(preds))\n",
        "    correct = (rounded_preds == y).float() #convert into float for division\n",
        "    acc = correct.sum() / len(correct)\n",
        "    return acc"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rW_HPt7s_2J6"
      },
      "outputs": [],
      "source": [
        "def train(model, dataloader, optimizer, criterion, device):\n",
        "    \"\"\"\n",
        "    @param model (RNN)\n",
        "    @param dataloader (DataLoader)\n",
        "    @param optimizer (torch.optim)\n",
        "    @param criterion (torch.nn.modules.loss)\n",
        "    @param device (torch.device)\n",
        "    @return epoch_loss (float): model's loss of this epoch\n",
        "    @return epoch_acc (float): model's accuracy of this epoch\n",
        "    \"\"\"\n",
        "    epoch_loss = 0\n",
        "    epoch_acc = 0\n",
        "\n",
        "    model.train()\n",
        "\n",
        "    for batch in dataloader:\n",
        "\n",
        "        optimizer.zero_grad()\n",
        "        reviews, reviews_lengths = batch[\"reviews\"]\n",
        "        reviews = reviews.to(device)\n",
        "        predictions = model(reviews, reviews_lengths).squeeze(1)\n",
        "        sentiments = batch[\"sentiments\"].to(device)\n",
        "        loss = criterion(predictions, sentiments)\n",
        "        acc = binary_accuracy(predictions, sentiments)\n",
        "\n",
        "        loss.backward()\n",
        "        optimizer.step()\n",
        "\n",
        "        epoch_loss += loss.item()\n",
        "        epoch_acc += acc.item()\n",
        "\n",
        "    batch_num = len(dataloader)\n",
        "    return epoch_loss / batch_num, epoch_acc / batch_num"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9TViPLND_4WS"
      },
      "outputs": [],
      "source": [
        "def evaluate(model, dataloader, criterion, device):\n",
        "    \"\"\"\n",
        "    @param model (RNN)\n",
        "    @param dataloader (DataLoader)\n",
        "    @param criterion (torch.nn.modules.loss)\n",
        "    @param device (torch.device)\n",
        "    @return epoch_loss (float): model's loss of this epoch\n",
        "    @return epoch_acc (float): model's accuracy of this epoch\n",
        "    \"\"\"\n",
        "    epoch_loss = 0\n",
        "    epoch_acc = 0\n",
        "\n",
        "    model.eval()\n",
        "\n",
        "    with torch.no_grad():\n",
        "        for batch in dataloader:\n",
        "\n",
        "            reviews, reviews_lengths = batch[\"reviews\"]\n",
        "            reviews = reviews.to(device)\n",
        "            predictions = model(reviews, reviews_lengths).squeeze(1)\n",
        "\n",
        "            sentiments = batch[\"sentiments\"].to(device)\n",
        "            loss = criterion(predictions, sentiments)\n",
        "            acc = binary_accuracy(predictions, sentiments)\n",
        "\n",
        "            epoch_loss += loss.item()\n",
        "            epoch_acc += acc.item()\n",
        "\n",
        "    batch_num = len(dataloader)\n",
        "    return epoch_loss / batch_num, epoch_acc / batch_num"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ns4tZi3gPqwE"
      },
      "outputs": [],
      "source": [
        "import time\n",
        "\n",
        "def epoch_time(start_time, end_time):\n",
        "    elapsed_time = end_time - start_time\n",
        "    elapsed_mins = int(elapsed_time / 60)\n",
        "    elapsed_secs = int(elapsed_time - (elapsed_mins * 60))\n",
        "    return elapsed_mins, elapsed_secs"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "XJxTObSH5s_m"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Q14hMdccl1ck"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Tuning RNN : optim, loss function, lr"
      ],
      "metadata": {
        "id": "Mkfq9gfkl2YK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "learning_rate = [0.001, 0.005, 0.01]\n",
        "\n",
        "criterias = [nn.BCEWithLogitsLoss(),\n",
        "            nn.BCELoss()]\n",
        "\n",
        "optimizers = {\n",
        "    'Adam': optim.Adam,\n",
        "    'SGD': optim.SGD,\n",
        "    'RMSprop': optim.RMSprop\n",
        "}\n"
      ],
      "metadata": {
        "id": "xGvqjgEUl1fb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "htjL05nZl1iC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bestModelRNN = []"
      ],
      "metadata": {
        "id": "rTYx-jqk_UD_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "bu_AYdLe_UHP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def Tuning_model_RNN(learning_rate, criterias, optimizers, train_dataloader, valid_dataloader, device, num_epochs=5):\n",
        "\n",
        "  best_valid_loss = float(\"inf\")\n",
        "\n",
        "  for criteria in criterias:\n",
        "    for lr in learning_rate:\n",
        "      for optimizer_name, optimizer_fn in optimizers.items():\n",
        "\n",
        "        print(f\"Training with criteria = {criteria}, optimizer = {optimizer_name}, lr = {lr}\")\n",
        "\n",
        "        # Initialize model\n",
        "        INPUT_DIM = word_embedding.vectors.shape[0]\n",
        "        EMBEDDING_DIM = 100\n",
        "        HIDDEN_DIM = 256\n",
        "        N_LAYERS = 2\n",
        "        BIDIRECTIONAL = True\n",
        "        DROPOUT = 0.3\n",
        "        PAD_IDX = vocab[\"<pad>\"]\n",
        "        UNK_IDX = vocab[\"<unk>\"]\n",
        "\n",
        "        model = RNN(INPUT_DIM,\n",
        "                    EMBEDDING_DIM,\n",
        "                    HIDDEN_DIM,\n",
        "                    N_LAYERS,\n",
        "                    BIDIRECTIONAL,\n",
        "                    DROPOUT,\n",
        "                    PAD_IDX)\n",
        "        model.embedding.weight.data.copy_(word_embedding.vectors)\n",
        "        model.embedding.weight.data[UNK_IDX] = torch.zeros(EMBEDDING_DIM)\n",
        "        model.embedding.weight.data[PAD_IDX] = torch.zeros(EMBEDDING_DIM)\n",
        "\n",
        "\n",
        "        # Define criterion\n",
        "        criterion = criteria\n",
        "\n",
        "        # Define optimizer\n",
        "        optimizer = optimizer_fn(model.parameters(), lr=lr)\n",
        "\n",
        "        train_losses = []\n",
        "        train_accs = []\n",
        "        val_losses = []\n",
        "        val_accs = []\n",
        "\n",
        "        # GPU\n",
        "        model = model.to(device)\n",
        "        criterion = criterion.to(device)\n",
        "\n",
        "        for epoch in range(num_epochs):\n",
        "\n",
        "          start_time = time.time()\n",
        "\n",
        "          train_loss, train_acc = train(model, train_dataloader, optimizer, criterion, device)\n",
        "          valid_loss, valid_acc = evaluate(model, valid_dataloader, criterion, device)\n",
        "\n",
        "          train_losses.append(train_loss)\n",
        "          train_accs.append(train_acc)\n",
        "          val_losses.append(valid_loss)\n",
        "          val_accs.append(valid_acc)\n",
        "\n",
        "          end_time = time.time()\n",
        "\n",
        "          epoch_mins, epoch_secs = epoch_time(start_time, end_time)\n",
        "\n",
        "          if valid_loss < best_valid_loss:\n",
        "              best_valid_loss = valid_loss\n",
        "              torch.save(model.state_dict(), \"BesemodelRNN.pt\")\n",
        "              bestModelRNN.append(f\"criteria = {criteria}, optimizer = {optimizer_name}, lr = {lr}\")\n",
        "\n",
        "\n",
        "          print(f\"Epoch: {epoch+1:02} | Epoch Time: {epoch_mins}m {epoch_secs}s\")\n",
        "          print(f\"\\tTrain Loss: {train_loss:.3f} | Train Acc: {train_acc*100:.2f}%\")\n",
        "          print(f\"\\t Val. Loss: {valid_loss:.3f} |  Val. Acc: {valid_acc*100:.2f}%\")\n",
        "\n",
        "\n",
        "\n",
        "        # Vẽ biểu đồ\n",
        "        plt.figure(figsize=(10, 5))\n",
        "        plt.subplot(1, 2, 1)\n",
        "        plt.plot(range(1, num_epochs + 1), train_losses, label='Train Loss')\n",
        "        plt.plot(range(1, num_epochs + 1), val_losses, label='Val Loss')\n",
        "        plt.xlabel('Epochs')\n",
        "        plt.ylabel('Loss')\n",
        "        plt.title(f\"Training with criteria = {criteria}, optimizer = {optimizer_name}, lr = {lr}\")\n",
        "        plt.legend()\n",
        "\n",
        "        plt.subplot(1, 2, 2)\n",
        "        plt.plot(range(1, num_epochs + 1), train_accs, label='Train Acc')\n",
        "        plt.plot(range(1, num_epochs + 1), val_accs, label='Val Acc')\n",
        "        plt.xlabel('Epochs')\n",
        "        plt.ylabel('Accuracy')\n",
        "        plt.title(f\"Training with criteria = {criteria}, optimizer = {optimizer_name}, lr = {lr}\")\n",
        "        plt.legend()\n",
        "\n",
        "        plt.tight_layout()\n",
        "        plt.show()\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "oG9vjs1El1k2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Tuning_model_RNN(learning_rate, criterias, optimizers, train_dataloader, valid_dataloader, device, num_epochs=5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "eYtnG1i8l1nl",
        "outputId": "9a4122ab-62bf-4e62-a791-e1e139fee24c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCEWithLogitsLoss(), optimizer = Adam, lr = 0.001\n",
            "Epoch: 01 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.653 | Train Acc: 62.02%\n",
            "\t Val. Loss: 0.607 |  Val. Acc: 67.91%\n",
            "Epoch: 02 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.499 | Train Acc: 75.29%\n",
            "\t Val. Loss: 0.470 |  Val. Acc: 79.00%\n",
            "Epoch: 03 | Epoch Time: 0m 39s\n",
            "\tTrain Loss: 0.371 | Train Acc: 83.02%\n",
            "\t Val. Loss: 0.413 |  Val. Acc: 80.82%\n",
            "Epoch: 04 | Epoch Time: 0m 40s\n",
            "\tTrain Loss: 0.332 | Train Acc: 85.75%\n",
            "\t Val. Loss: 0.426 |  Val. Acc: 80.91%\n",
            "Epoch: 05 | Epoch Time: 0m 39s\n",
            "\tTrain Loss: 0.301 | Train Acc: 86.52%\n",
            "\t Val. Loss: 0.473 |  Val. Acc: 79.82%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCEWithLogitsLoss(), optimizer = SGD, lr = 0.001\n",
            "Epoch: 01 | Epoch Time: 0m 35s\n",
            "\tTrain Loss: 0.695 | Train Acc: 46.63%\n",
            "\t Val. Loss: 0.693 |  Val. Acc: 50.82%\n",
            "Epoch: 02 | Epoch Time: 0m 35s\n",
            "\tTrain Loss: 0.695 | Train Acc: 46.62%\n",
            "\t Val. Loss: 0.693 |  Val. Acc: 52.18%\n",
            "Epoch: 03 | Epoch Time: 0m 35s\n",
            "\tTrain Loss: 0.695 | Train Acc: 46.56%\n",
            "\t Val. Loss: 0.693 |  Val. Acc: 51.73%\n",
            "Epoch: 04 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.694 | Train Acc: 46.69%\n",
            "\t Val. Loss: 0.693 |  Val. Acc: 51.64%\n",
            "Epoch: 05 | Epoch Time: 0m 35s\n",
            "\tTrain Loss: 0.694 | Train Acc: 46.60%\n",
            "\t Val. Loss: 0.693 |  Val. Acc: 50.91%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCEWithLogitsLoss(), optimizer = RMSprop, lr = 0.001\n",
            "Epoch: 01 | Epoch Time: 0m 33s\n",
            "\tTrain Loss: 0.639 | Train Acc: 64.37%\n",
            "\t Val. Loss: 0.597 |  Val. Acc: 69.27%\n",
            "Epoch: 02 | Epoch Time: 0m 33s\n",
            "\tTrain Loss: 0.456 | Train Acc: 78.67%\n",
            "\t Val. Loss: 0.516 |  Val. Acc: 78.55%\n",
            "Epoch: 03 | Epoch Time: 0m 34s\n",
            "\tTrain Loss: 0.372 | Train Acc: 83.60%\n",
            "\t Val. Loss: 0.422 |  Val. Acc: 81.73%\n",
            "Epoch: 04 | Epoch Time: 0m 34s\n",
            "\tTrain Loss: 0.334 | Train Acc: 85.52%\n",
            "\t Val. Loss: 0.421 |  Val. Acc: 80.09%\n",
            "Epoch: 05 | Epoch Time: 0m 34s\n",
            "\tTrain Loss: 0.308 | Train Acc: 86.94%\n",
            "\t Val. Loss: 0.441 |  Val. Acc: 81.91%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCEWithLogitsLoss(), optimizer = Adam, lr = 0.005\n",
            "Epoch: 01 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.622 | Train Acc: 64.90%\n",
            "\t Val. Loss: 0.538 |  Val. Acc: 78.00%\n",
            "Epoch: 02 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.423 | Train Acc: 80.88%\n",
            "\t Val. Loss: 0.444 |  Val. Acc: 80.09%\n",
            "Epoch: 03 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.348 | Train Acc: 85.00%\n",
            "\t Val. Loss: 0.463 |  Val. Acc: 80.36%\n",
            "Epoch: 04 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.287 | Train Acc: 87.23%\n",
            "\t Val. Loss: 0.488 |  Val. Acc: 81.27%\n",
            "Epoch: 05 | Epoch Time: 0m 35s\n",
            "\tTrain Loss: 0.252 | Train Acc: 88.77%\n",
            "\t Val. Loss: 0.568 |  Val. Acc: 80.27%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCEWithLogitsLoss(), optimizer = SGD, lr = 0.005\n",
            "Epoch: 01 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.692 | Train Acc: 53.15%\n",
            "\t Val. Loss: 0.694 |  Val. Acc: 47.73%\n",
            "Epoch: 02 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.692 | Train Acc: 54.06%\n",
            "\t Val. Loss: 0.694 |  Val. Acc: 48.64%\n",
            "Epoch: 03 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.692 | Train Acc: 53.40%\n",
            "\t Val. Loss: 0.694 |  Val. Acc: 48.82%\n",
            "Epoch: 04 | Epoch Time: 0m 35s\n",
            "\tTrain Loss: 0.692 | Train Acc: 53.02%\n",
            "\t Val. Loss: 0.694 |  Val. Acc: 48.73%\n",
            "Epoch: 05 | Epoch Time: 0m 34s\n",
            "\tTrain Loss: 0.691 | Train Acc: 53.46%\n",
            "\t Val. Loss: 0.694 |  Val. Acc: 48.73%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCEWithLogitsLoss(), optimizer = RMSprop, lr = 0.005\n",
            "Epoch: 01 | Epoch Time: 0m 33s\n",
            "\tTrain Loss: 0.911 | Train Acc: 53.19%\n",
            "\t Val. Loss: 0.665 |  Val. Acc: 59.82%\n",
            "Epoch: 02 | Epoch Time: 0m 34s\n",
            "\tTrain Loss: 0.560 | Train Acc: 72.04%\n",
            "\t Val. Loss: 0.500 |  Val. Acc: 76.55%\n",
            "Epoch: 03 | Epoch Time: 0m 33s\n",
            "\tTrain Loss: 0.437 | Train Acc: 80.52%\n",
            "\t Val. Loss: 0.465 |  Val. Acc: 77.64%\n",
            "Epoch: 04 | Epoch Time: 0m 32s\n",
            "\tTrain Loss: 0.361 | Train Acc: 84.35%\n",
            "\t Val. Loss: 0.481 |  Val. Acc: 77.36%\n",
            "Epoch: 05 | Epoch Time: 0m 32s\n",
            "\tTrain Loss: 0.315 | Train Acc: 86.42%\n",
            "\t Val. Loss: 0.476 |  Val. Acc: 79.27%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCEWithLogitsLoss(), optimizer = Adam, lr = 0.01\n",
            "Epoch: 01 | Epoch Time: 0m 33s\n",
            "\tTrain Loss: 0.611 | Train Acc: 67.38%\n",
            "\t Val. Loss: 0.479 |  Val. Acc: 77.18%\n",
            "Epoch: 02 | Epoch Time: 0m 33s\n",
            "\tTrain Loss: 0.426 | Train Acc: 80.75%\n",
            "\t Val. Loss: 0.472 |  Val. Acc: 77.09%\n",
            "Epoch: 03 | Epoch Time: 0m 34s\n",
            "\tTrain Loss: 0.356 | Train Acc: 83.98%\n",
            "\t Val. Loss: 0.451 |  Val. Acc: 79.73%\n",
            "Epoch: 04 | Epoch Time: 0m 35s\n",
            "\tTrain Loss: 0.300 | Train Acc: 86.69%\n",
            "\t Val. Loss: 0.506 |  Val. Acc: 80.45%\n",
            "Epoch: 05 | Epoch Time: 0m 34s\n",
            "\tTrain Loss: 0.256 | Train Acc: 88.40%\n",
            "\t Val. Loss: 0.556 |  Val. Acc: 78.55%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCEWithLogitsLoss(), optimizer = SGD, lr = 0.01\n",
            "Epoch: 01 | Epoch Time: 0m 33s\n",
            "\tTrain Loss: 0.692 | Train Acc: 53.38%\n",
            "\t Val. Loss: 0.694 |  Val. Acc: 48.45%\n",
            "Epoch: 02 | Epoch Time: 0m 34s\n",
            "\tTrain Loss: 0.692 | Train Acc: 53.08%\n",
            "\t Val. Loss: 0.694 |  Val. Acc: 49.00%\n",
            "Epoch: 03 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.692 | Train Acc: 52.96%\n",
            "\t Val. Loss: 0.694 |  Val. Acc: 49.18%\n",
            "Epoch: 04 | Epoch Time: 0m 34s\n",
            "\tTrain Loss: 0.692 | Train Acc: 53.31%\n",
            "\t Val. Loss: 0.695 |  Val. Acc: 49.09%\n",
            "Epoch: 05 | Epoch Time: 0m 35s\n",
            "\tTrain Loss: 0.692 | Train Acc: 53.08%\n",
            "\t Val. Loss: 0.695 |  Val. Acc: 48.82%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCEWithLogitsLoss(), optimizer = RMSprop, lr = 0.01\n",
            "Epoch: 01 | Epoch Time: 1m 3s\n",
            "\tTrain Loss: 1.270 | Train Acc: 58.52%\n",
            "\t Val. Loss: 0.548 |  Val. Acc: 72.45%\n",
            "Epoch: 02 | Epoch Time: 0m 59s\n",
            "\tTrain Loss: 0.496 | Train Acc: 76.29%\n",
            "\t Val. Loss: 0.513 |  Val. Acc: 75.91%\n",
            "Epoch: 03 | Epoch Time: 0m 48s\n",
            "\tTrain Loss: 0.419 | Train Acc: 81.08%\n",
            "\t Val. Loss: 0.509 |  Val. Acc: 75.91%\n",
            "Epoch: 04 | Epoch Time: 0m 44s\n",
            "\tTrain Loss: 0.353 | Train Acc: 84.65%\n",
            "\t Val. Loss: 0.507 |  Val. Acc: 76.64%\n",
            "Epoch: 05 | Epoch Time: 0m 38s\n",
            "\tTrain Loss: 0.362 | Train Acc: 83.79%\n",
            "\t Val. Loss: 0.488 |  Val. Acc: 77.45%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with criteria = BCELoss(), optimizer = Adam, lr = 0.001\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "RuntimeError",
          "evalue": "Found dtype Double but expected Float",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-36-ee2fd51f49e7>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mTuning_model_RNN\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlearning_rate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcriterias\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizers\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalid_dataloader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_epochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m<ipython-input-35-124fe277f40d>\u001b[0m in \u001b[0;36mTuning_model_RNN\u001b[0;34m(learning_rate, criterias, optimizers, train_dataloader, valid_dataloader, device, num_epochs)\u001b[0m\n\u001b[1;32m     50\u001b[0m           \u001b[0mstart_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     51\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 52\u001b[0;31m           \u001b[0mtrain_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_acc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcriterion\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     53\u001b[0m           \u001b[0mvalid_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalid_acc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mevaluate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalid_dataloader\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcriterion\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     54\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m<ipython-input-29-ae821ab194ac>\u001b[0m in \u001b[0;36mtrain\u001b[0;34m(model, dataloader, optimizer, criterion, device)\u001b[0m\n\u001b[1;32m     21\u001b[0m         \u001b[0mpredictions\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreviews\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreviews_lengths\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m         \u001b[0msentiments\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"sentiments\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m         \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcriterion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpredictions\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msentiments\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     24\u001b[0m         \u001b[0macc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbinary_accuracy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpredictions\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msentiments\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1509\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compiled_call_impl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[misc]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1510\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1511\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_call_impl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1512\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1513\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_call_impl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1518\u001b[0m                 \u001b[0;32mor\u001b[0m \u001b[0m_global_backward_pre_hooks\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0m_global_backward_hooks\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1519\u001b[0m                 or _global_forward_hooks or _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mforward_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1521\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1522\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/loss.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, input, target)\u001b[0m\n\u001b[1;32m    616\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    617\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTensor\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mTensor\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 618\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mF\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbinary_cross_entropy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mweight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mweight\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreduction\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreduction\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    620\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py\u001b[0m in \u001b[0;36mbinary_cross_entropy\u001b[0;34m(input, target, weight, size_average, reduce, reduction)\u001b[0m\n\u001b[1;32m   3125\u001b[0m         \u001b[0mweight\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mweight\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexpand\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3126\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3127\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_C\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_nn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbinary_cross_entropy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mweight\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreduction_enum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mRuntimeError\u001b[0m: Found dtype Double but expected Float"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "0NYbJWQNl1qD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "zI5ybh-l5uAO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "def train_model(HIDDEN_DIMs, N_LAYERSs, DROPOUTs, train_dataloader, valid_dataloader, num_epochs=10):\n",
        "    Tloss = []\n",
        "    Tacc = []\n",
        "    Vloss = []\n",
        "    Vacc = []\n",
        "    best_valid_loss = float(\"inf\")\n",
        "\n",
        "    for HIDDEN_DIM in HIDDEN_DIMs:\n",
        "        for N_LAYERS in N_LAYERSs:\n",
        "            for DROPOUT in DROPOUTs:\n",
        "                print(f\"Training with HIDDEN_DIM={HIDDEN_DIM}, N_LAYERS={N_LAYERS}, DROPOUT={DROPOUT}\")\n",
        "\n",
        "                INPUT_DIM = word_embedding.vectors.shape[0]\n",
        "                EMBEDDING_DIM = 100\n",
        "                BATCH_SIZE = 10\n",
        "                HIDDEN_DIM = HIDDEN_DIM\n",
        "                N_LAYERS = N_LAYERS\n",
        "                BIDIRECTIONAL = True\n",
        "                DROPOUT = DROPOUT\n",
        "                PAD_IDX = vocab[\"<pad>\"]\n",
        "                UNK_IDX = vocab[\"<unk>\"]\n",
        "\n",
        "                model = RNN(INPUT_DIM,\n",
        "                            EMBEDDING_DIM,\n",
        "                            HIDDEN_DIM,\n",
        "                            N_LAYERS,\n",
        "                            BIDIRECTIONAL,\n",
        "                            DROPOUT,\n",
        "                            PAD_IDX)\n",
        "                model.embedding.weight.data.copy_(word_embedding.vectors)\n",
        "                model.embedding.weight.data[UNK_IDX] = torch.zeros(EMBEDDING_DIM)\n",
        "                model.embedding.weight.data[PAD_IDX] = torch.zeros(EMBEDDING_DIM)\n",
        "\n",
        "\n",
        "                # Khởi tạo optimizer và hàm loss\n",
        "                optimizer = optim.Adam(model.parameters(), lr = 0.001)\n",
        "                criterion = nn.BCEWithLogitsLoss().to(device)\n",
        "\n",
        "                train_losses = []\n",
        "                train_accs = []\n",
        "                val_losses = []\n",
        "                val_accs = []\n",
        "\n",
        "                for epoch in range(num_epochs):\n",
        "                  start_time = time.time()\n",
        "\n",
        "                  train_loss, train_acc = train(model, train_dataloader, optimizer, criterion, device)\n",
        "                  valid_loss, valid_acc = evaluate(model, valid_dataloader, criterion, device)\n",
        "\n",
        "                  train_losses.append(train_loss)\n",
        "                  train_accs.append(train_acc)\n",
        "                  val_losses.append(valid_loss)\n",
        "                  val_accs.append(valid_acc)\n",
        "\n",
        "                  Tloss.append(train_loss)\n",
        "                  Tacc.append(train_acc)\n",
        "                  Vloss.append(valid_loss)\n",
        "                  Vacc.append(valid_acc)\n",
        "\n",
        "                  end_time = time.time()\n",
        "\n",
        "                  epoch_mins, epoch_secs = epoch_time(start_time, end_time)\n",
        "\n",
        "                  if valid_loss < best_valid_loss:\n",
        "                      best_valid_loss = valid_loss\n",
        "                      torch.save(model.state_dict(), \"model1.pt\")\n",
        "\n",
        "                  print(f\"Epoch: {epoch+1:02} | Epoch Time: {epoch_mins}m {epoch_secs}s\")\n",
        "                  print(f\"\\tTrain Loss: {train_loss:.3f} | Train Acc: {train_acc*100:.2f}%\")\n",
        "                  print(f\"\\t Val. Loss: {valid_loss:.3f} |  Val. Acc: {valid_acc*100:.2f}%\")\n",
        "\n",
        "\n",
        "\n",
        "                # Vẽ biểu đồ\n",
        "                plt.figure(figsize=(10, 5))\n",
        "                plt.subplot(1, 2, 1)\n",
        "                plt.plot(range(1, num_epochs + 1), train_losses, label='Train Loss')\n",
        "                plt.plot(range(1, num_epochs + 1), val_losses, label='Val Loss')\n",
        "                plt.xlabel('Epochs')\n",
        "                plt.ylabel('Loss')\n",
        "                plt.title(f\"Loss with HIDDEN_DIM={HIDDEN_DIM}, N_LAYERS={N_LAYERS}, DROPOUT={DROPOUT}\")\n",
        "                plt.legend()\n",
        "\n",
        "                plt.subplot(1, 2, 2)\n",
        "                plt.plot(range(1, num_epochs + 1), train_accs, label='Train Acc')\n",
        "                plt.plot(range(1, num_epochs + 1), val_accs, label='Val Acc')\n",
        "                plt.xlabel('Epochs')\n",
        "                plt.ylabel('Accuracy')\n",
        "                plt.title(f\"Accuracy with HIDDEN_DIM={HIDDEN_DIM}, N_LAYERS={N_LAYERS}, DROPOUT={DROPOUT}\")\n",
        "                plt.legend()\n",
        "\n",
        "                plt.tight_layout()\n",
        "                plt.show()\n",
        "\n",
        "# Sử dụng hàm train_model với các giá trị hyperparameters\n",
        "HIDDEN_DIMs = [128, 256]\n",
        "N_LAYERSs = [2, 3]\n",
        "DROPOUTs = [0.3, 0.5]\n",
        "\n",
        "train_model(HIDDEN_DIMs, N_LAYERSs, DROPOUTs, train_dataloader, valid_dataloader, num_epochs = 10)"
      ],
      "metadata": {
        "id": "CVcKBryi5uC-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "1b027784-0df4-4bc6-9f52-7040528d76f4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with HIDDEN_DIM=128, N_LAYERS=2, DROPOUT=0.3\n",
            "Epoch: 01 | Epoch Time: 0m 16s\n",
            "\tTrain Loss: 0.652 | Train Acc: 61.52%\n",
            "\t Val. Loss: 0.604 |  Val. Acc: 69.72%\n",
            "Epoch: 02 | Epoch Time: 0m 14s\n",
            "\tTrain Loss: 0.518 | Train Acc: 74.35%\n",
            "\t Val. Loss: 0.535 |  Val. Acc: 73.82%\n",
            "Epoch: 03 | Epoch Time: 0m 16s\n",
            "\tTrain Loss: 0.393 | Train Acc: 82.15%\n",
            "\t Val. Loss: 0.440 |  Val. Acc: 79.87%\n",
            "Epoch: 04 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.344 | Train Acc: 85.16%\n",
            "\t Val. Loss: 0.469 |  Val. Acc: 78.96%\n",
            "Epoch: 05 | Epoch Time: 0m 16s\n",
            "\tTrain Loss: 0.310 | Train Acc: 87.35%\n",
            "\t Val. Loss: 0.435 |  Val. Acc: 80.67%\n",
            "Epoch: 06 | Epoch Time: 0m 16s\n",
            "\tTrain Loss: 0.285 | Train Acc: 88.06%\n",
            "\t Val. Loss: 0.467 |  Val. Acc: 79.96%\n",
            "Epoch: 07 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.265 | Train Acc: 88.69%\n",
            "\t Val. Loss: 0.474 |  Val. Acc: 81.81%\n",
            "Epoch: 08 | Epoch Time: 0m 16s\n",
            "\tTrain Loss: 0.248 | Train Acc: 89.61%\n",
            "\t Val. Loss: 0.481 |  Val. Acc: 81.49%\n",
            "Epoch: 09 | Epoch Time: 0m 16s\n",
            "\tTrain Loss: 0.236 | Train Acc: 90.15%\n",
            "\t Val. Loss: 0.484 |  Val. Acc: 81.53%\n",
            "Epoch: 10 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.233 | Train Acc: 89.87%\n",
            "\t Val. Loss: 0.500 |  Val. Acc: 80.01%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with HIDDEN_DIM=128, N_LAYERS=2, DROPOUT=0.5\n",
            "Epoch: 01 | Epoch Time: 0m 16s\n",
            "\tTrain Loss: 0.659 | Train Acc: 60.31%\n",
            "\t Val. Loss: 0.619 |  Val. Acc: 67.68%\n",
            "Epoch: 02 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.577 | Train Acc: 70.19%\n",
            "\t Val. Loss: 0.482 |  Val. Acc: 77.91%\n",
            "Epoch: 03 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.434 | Train Acc: 80.13%\n",
            "\t Val. Loss: 0.460 |  Val. Acc: 78.87%\n",
            "Epoch: 04 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.372 | Train Acc: 83.43%\n",
            "\t Val. Loss: 0.462 |  Val. Acc: 79.01%\n",
            "Epoch: 05 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.328 | Train Acc: 85.72%\n",
            "\t Val. Loss: 0.450 |  Val. Acc: 80.25%\n",
            "Epoch: 06 | Epoch Time: 0m 16s\n",
            "\tTrain Loss: 0.311 | Train Acc: 86.79%\n",
            "\t Val. Loss: 0.448 |  Val. Acc: 80.49%\n",
            "Epoch: 07 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.293 | Train Acc: 87.46%\n",
            "\t Val. Loss: 0.434 |  Val. Acc: 81.53%\n",
            "Epoch: 08 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.274 | Train Acc: 88.20%\n",
            "\t Val. Loss: 0.511 |  Val. Acc: 78.72%\n",
            "Epoch: 09 | Epoch Time: 0m 15s\n",
            "\tTrain Loss: 0.265 | Train Acc: 88.85%\n",
            "\t Val. Loss: 0.468 |  Val. Acc: 79.96%\n",
            "Epoch: 10 | Epoch Time: 0m 16s\n",
            "\tTrain Loss: 0.250 | Train Acc: 89.46%\n",
            "\t Val. Loss: 0.539 |  Val. Acc: 80.40%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with HIDDEN_DIM=128, N_LAYERS=3, DROPOUT=0.3\n",
            "Epoch: 01 | Epoch Time: 0m 23s\n",
            "\tTrain Loss: 0.650 | Train Acc: 61.72%\n",
            "\t Val. Loss: 0.581 |  Val. Acc: 69.02%\n",
            "Epoch: 02 | Epoch Time: 0m 23s\n",
            "\tTrain Loss: 0.511 | Train Acc: 74.92%\n",
            "\t Val. Loss: 0.464 |  Val. Acc: 77.44%\n",
            "Epoch: 03 | Epoch Time: 0m 23s\n",
            "\tTrain Loss: 0.388 | Train Acc: 82.57%\n",
            "\t Val. Loss: 0.430 |  Val. Acc: 79.58%\n",
            "Epoch: 04 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.333 | Train Acc: 85.76%\n",
            "\t Val. Loss: 0.459 |  Val. Acc: 78.73%\n",
            "Epoch: 05 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.295 | Train Acc: 87.31%\n",
            "\t Val. Loss: 0.457 |  Val. Acc: 79.77%\n",
            "Epoch: 06 | Epoch Time: 0m 23s\n",
            "\tTrain Loss: 0.275 | Train Acc: 88.32%\n",
            "\t Val. Loss: 0.438 |  Val. Acc: 81.24%\n",
            "Epoch: 07 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.263 | Train Acc: 88.62%\n",
            "\t Val. Loss: 0.466 |  Val. Acc: 80.87%\n",
            "Epoch: 08 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.248 | Train Acc: 89.67%\n",
            "\t Val. Loss: 0.487 |  Val. Acc: 81.44%\n",
            "Epoch: 09 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.237 | Train Acc: 89.59%\n",
            "\t Val. Loss: 0.501 |  Val. Acc: 81.77%\n",
            "Epoch: 10 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.231 | Train Acc: 90.30%\n",
            "\t Val. Loss: 0.538 |  Val. Acc: 81.16%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with HIDDEN_DIM=128, N_LAYERS=3, DROPOUT=0.5\n",
            "Epoch: 01 | Epoch Time: 0m 23s\n",
            "\tTrain Loss: 0.656 | Train Acc: 61.28%\n",
            "\t Val. Loss: 0.610 |  Val. Acc: 68.59%\n",
            "Epoch: 02 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.544 | Train Acc: 73.30%\n",
            "\t Val. Loss: 0.492 |  Val. Acc: 75.77%\n",
            "Epoch: 03 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.411 | Train Acc: 81.21%\n",
            "\t Val. Loss: 0.459 |  Val. Acc: 78.49%\n",
            "Epoch: 04 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.358 | Train Acc: 84.03%\n",
            "\t Val. Loss: 0.438 |  Val. Acc: 80.58%\n",
            "Epoch: 05 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.323 | Train Acc: 86.15%\n",
            "\t Val. Loss: 0.431 |  Val. Acc: 80.44%\n",
            "Epoch: 06 | Epoch Time: 0m 23s\n",
            "\tTrain Loss: 0.303 | Train Acc: 86.83%\n",
            "\t Val. Loss: 0.468 |  Val. Acc: 80.34%\n",
            "Epoch: 07 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.289 | Train Acc: 87.45%\n",
            "\t Val. Loss: 0.475 |  Val. Acc: 80.11%\n",
            "Epoch: 08 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.279 | Train Acc: 87.93%\n",
            "\t Val. Loss: 0.481 |  Val. Acc: 81.63%\n",
            "Epoch: 09 | Epoch Time: 0m 24s\n",
            "\tTrain Loss: 0.258 | Train Acc: 88.81%\n",
            "\t Val. Loss: 0.472 |  Val. Acc: 82.25%\n",
            "Epoch: 10 | Epoch Time: 0m 23s\n",
            "\tTrain Loss: 0.249 | Train Acc: 89.12%\n",
            "\t Val. Loss: 0.475 |  Val. Acc: 82.20%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with HIDDEN_DIM=256, N_LAYERS=2, DROPOUT=0.3\n",
            "Epoch: 01 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.647 | Train Acc: 63.73%\n",
            "\t Val. Loss: 0.594 |  Val. Acc: 69.16%\n",
            "Epoch: 02 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.501 | Train Acc: 75.22%\n",
            "\t Val. Loss: 0.465 |  Val. Acc: 78.44%\n",
            "Epoch: 03 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.372 | Train Acc: 83.33%\n",
            "\t Val. Loss: 0.505 |  Val. Acc: 78.68%\n",
            "Epoch: 04 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.331 | Train Acc: 85.44%\n",
            "\t Val. Loss: 0.422 |  Val. Acc: 81.15%\n",
            "Epoch: 05 | Epoch Time: 0m 38s\n",
            "\tTrain Loss: 0.294 | Train Acc: 87.18%\n",
            "\t Val. Loss: 0.446 |  Val. Acc: 80.86%\n",
            "Epoch: 06 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.272 | Train Acc: 88.24%\n",
            "\t Val. Loss: 0.455 |  Val. Acc: 82.15%\n",
            "Epoch: 07 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.266 | Train Acc: 88.81%\n",
            "\t Val. Loss: 0.476 |  Val. Acc: 80.20%\n",
            "Epoch: 08 | Epoch Time: 0m 38s\n",
            "\tTrain Loss: 0.258 | Train Acc: 88.58%\n",
            "\t Val. Loss: 0.498 |  Val. Acc: 81.01%\n",
            "Epoch: 09 | Epoch Time: 0m 39s\n",
            "\tTrain Loss: 0.257 | Train Acc: 88.92%\n",
            "\t Val. Loss: 0.477 |  Val. Acc: 80.35%\n",
            "Epoch: 10 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.236 | Train Acc: 89.92%\n",
            "\t Val. Loss: 0.535 |  Val. Acc: 80.77%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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IiIjI9GtPnDiRkJCQdO+4ZVVGt9HOzo4uXbqwatUqg+mrV6+mQIECBlnnrDJ2x0p39zS15vPx8fFER0enus6FCxeSlJTE1KlTATVrqmRTE+fPPvuMpKQkZs6cmS3rM9WTJ0/47bff6NmzJ927d+fJkyf88ccf+uetrKz44YcfuHHjBp9//jkAJ06c4Pvvv+fDDz/M8h3j5Pz8/AC1qajOgwcPiIyMpGHDhkaX8fT0zPLr1q5dO0UT30KFCuHn55fqZyUrChUqxJo1a7CysuKLL75Id35j7wvAtGnT0Gg0LF++HAcHB4PnSpcuzf/+9z+CgoJYtGhRuq/x2muvAWp3FoBZs2YRExPDDz/8gIeHh8G87u7uLFq0iOjoaP73v/+lu25zuXDhAhcuXOCdd97ByupZQ8L3338fRVEy1NR35cqVFChQgNdff51y5cqRkJBAfHx8ivnCw8MZNWqUvllp0aJF6d+/v0FT5NjYWCZPnky5cuWws7PDx8eHLl266P+/uiahz5/rdM2ely1bpp+ma55+7do12rZti7OzM3369AHgwIEDvPHGGxQvXhxbW1uKFSvGqFGjjDZLvnTpEt27d8fDwwN7e3vKly+vb569d+9eNBoNv/32W4rlVq1ahUajSbXrTXh4uP7cpvPgwQMsLCwoVKiQwfFzyJAhBi2Rko+RcPPmTf3ncMqUKal2fbl37x6dOnXCyckJDw8PxowZQ1JSktHYctNrr73GhAkTuHXrFr/88otJy/Tp04e3336bf/75J9Wmz6YYPnw4BQoUyJZuQmnJzDb27t2brVu3GnQ5PH78OP/99x+9e/fOttgaNGiQ4m5j2bJlqVy5cqrH+KSkJKPdvXR27NhBQEAAkyZNwt7enpiYmGz7rPXs2ZNy5coxderUXO9GtXLlSlq2bEmzZs2oWLEiK1euNHh+xowZuLu7895776EoClFRUYwcOZL69eun2h00MypWrIi7u3uK8961a9eoXLkybm5uKZbJjuuBkiVLUqJECYNpGo2GTp06ERcXZ7TJf1Zk9Nrfw8ODChUqpHhfFi1aRHBwMLNmzaJ06dIGz9nb27N8+XI0Go3++jUtz18PbNiwgYCAAD799FPq1auXIv5Fixbh5uaW48eYrNqwYQPt2rWjePHi+mktWrSgXLly/Prrr5lap+4cZazbdFrydCLh/Pnz+Pn5cebMGT7++GMmTJjAjRs3aNq0Kf/8849+vsmTJzNlyhSaNWvGd999x7hx4yhevDgnT57Uz9O1a1d+++03Bg0axPfff88HH3zA48ePjfa91WnUqBEajYb9+/frpx04cAALCwsOHjyonxYaGsqlS5do3Lix0fU0btyYDz74AFC/ZK1YsYIVK1YYNHu9evUq3bp1o2XLlnz99dcUKFCAgQMHGu2/a0xsbCwPHjxI8chMfxdj+vXrh6IoJl8EWFpa0qtXL2JiYgzeK1ATP8ZiNXZR6Ofnx2uvvcb//vc/o89np4xuY+/evTl27JjBQXDVqlV069YtRZMuUJv8G9tuY4/0BAcHA+oXoeft2bMHBwcHnJyc8PX1Ze7cuSnm2bVrFxUqVGDLli0ULVoUZ2dnChUqxIQJE4yOFZERJUuWpH///ixevJjAwMAsrSsjNm3aRFRUFD179sTb25umTZumuHB49dVXGTJkCLNmzeLcuXO8++67+Pr6MmnSJKPrNPa/SeuCTEeXoCxQoIB+mq7f6Z9//klYWFi66zD1s2Ks7/HzgoODjX5WskPx4sVp0qQJR48eTfe9Mfa+xMTEsHv3bvz8/Iw2GwXo0aMHtra2RvsvPk+3PxYqVAhA37RVl8R4XuPGjfH19U21D2t2i4iIMOn/mvzYferUKQBeeeUVg3UVLlyYokWL6p9Pz5MnT/j5559p2bIlq1ev5urVqwAEBAQYzBcVFYWfnx/z5s2jVatWzJ07l/fee49Lly5x9+5dQP1y0q5dO6ZMmULt2rX5+uuvGTFiBBERESnWZ6rExERat26Np6cnX331FV27dgVg3bp1xMTEMGTIEObNm0fr1q2ZN28e/fv3N1j+7Nmz1KtXjz179jB48GDmzp1Lp06d9E3hmzZtSrFixVIcF0D90lG6dGnq169vNDY3NzeqVKlicD1w8OBBNBoNYWFhBmOFHDhwINXPm4eHhz4x3rlzZ/31QPKbE0lJSbRu3ZpChQrx1Vdf0aRJE77++mt++OEHU95GkpKSjH6mHj16ZNLy6enXrx+gfgHNjmVMPc66uLgwatQo/vzzT4Pru5yQ0W3UNd3fuHGjftqqVauoUKECtWrVSjG/Vqs1+RifkJCQ5msrikJISIjRY3xMTAwuLi64urpSsGBBhg4dmuK6cNeuXYDaDeKVV17B0dERBwcHevbsadK5Ki2WlpaMHz+eM2fOGE3g5ZTAwED27t2rHxepV69erF+/3iBp6urqyrfffsvBgwf58ccfmTBhAiEhIfzwww9Gu2EYO3Y/fPgw3VgiIiJ49OiRwXkPoESJEpw4ccKk42VmzhupSev6MavSuvZ/XmJiInfv3k3xvvz555/Y2dml6CakU7JkSRo1asSePXvS/V5g7HoASHHu0HF1daVjx45cunRJf37MSTExMSb9X5Mfu+/du8f9+/dTXA8A1K1b1+TrgcTERB48eEBgYCA7duxg/PjxODs7U7du3YxtRKbaP2QDU5oKderUSbGxsTFochoYGKg4OzsrjRs31k+rXr16ms25Hz16lOlmZZUrVzZo7l6rVi3ljTfeUAB9c9KNGzcqgEHT6BIlSigDBgzQ/51e1wZA2b9/v37a/fv3FVtbW+XDDz9MN0Yg3UdWujYoiqKcOnVKAZRRo0bpp6XXVP23335TAGXu3LkpttXYY8aMGUZj/PvvvxVAmT17tsF6srNrQ0a2UffaiYmJire3tzJt2jRFUZ41X/v777+Nfr5100x5pOett95SLC0tlStXrhhMb9++vfLll18qv//+u7JkyRLFz8/PaDMzFxcXpUCBAoqtra0yYcIEZf369Urv3r0VQPn000/TfX1jkm/ztWvXFCsrK4OuEzndtaFdu3YGzfd/+OEHxcrKKkVz9oiICKVw4cJKwYIFFUDZtm1binUNGDAg1f9N69at9fPpmrwtXbpUCQ0NVQIDA5Vt27YpZcqUUTQajXLs2DGD9U6cOFEBFEdHR8Xf31/54osvUjTT1TH1s/LTTz+l+b7s379f0Wg0yoQJE9J7C1NFGt2nFEVRRowYYXAM1DVrnTJlihIaGqoEBwcrBw4cUOrUqZOiieDp06cVQBkxYkSaMVSrVk0pWLCg/m/dZ+Py5ctKaGiocuPGDWXRokWKra2t4uXlpURHRyvh4eEKoHTs2DHNdXfo0EEBlMjISIN150TXhiZNmpj0f01+/pg1a5YCKLdv306xvjp16iivvvpqmtunM2zYMIPXeO211xQfH58U773uc7px48YU69BqtYqiqM2Gnz8uPz+Pbv94/r3QfT6Sf3Z1+5yx44+x5tYzZsxQNBqNQdPOxo0bK87OzgbTksejKIoyduxYxdbWVgkPD9dPu3//vmJlZZVu89OhQ4cqXl5e+r9Hjx6tNG7cWPH09FQWLFigKIqiPHz4UNFoNAbnvQEDBiglSpTQ/51e1wZAmTp1qsH0mjVrKrVr104zPkUx7fOVla4NOq6urkrNmjX1f6e3z+iuwzp37pxiW009zq5bt04JDw9XChQooHTo0MFgPdnZtSEj25j8tbt166Y0b95cURS1u4C3t7cyZcoUo11KdNNMeaTXTWrFihUKoCxZssRg+qeffqp88sknytq1a5XVq1fr3++GDRsadJHSHf8KFSqk9OnTR1m/fr0yYcIExcrKSmnQoIHB/mOq5NucmJiolC1bVqlevbp+XTndteGrr75S7O3t9cf0K1euKIDy22+/pZi3Xbt2iqurq2JpaamMHTs2xfNpXbvZ2toazAsob731lhIaGqrcv39f+ffff5U2bdqk+P8riqLs2LFDsbS0VCwtLZX69esrH3/8sbJ9+3YlPj4+RQyZOW8Y8/DhQ8XT01Px8/NL5x1MXWav/Vu1aqWEhoYqoaGhyrlz55R+/foZvbZwc3NTqlevnmYMH3zwgQIoZ8+eVRTF+LXY5s2bFV9fX0Wj0ej38xo1aiiurq5prnv27NkKoGzatMlg3TnRtUG3H6T3SH7+OH78uAIoP//8c4r1ffTRRwqgxMbGprmNiqIoR44cMXiN8uXLZ6pLZp4dbDEpKYkdO3bQqVMnSpUqpZ/u4+ND7969Wbx4MZGRkbi4uODm5sb58+f577//KFu2bIp12dvbY2Njw759+3jrrbdSZL/S4ufnp28e/fjxY86cOcOXX37J3r17OXDgABUqVODAgQP6uxWZValSJYM7GB4eHpQvX97kpkcdO3Y0Wrlhx44dmR40JDldc2ljIxlndJl69erpm5YnZ+x/B+odw2bNmvG///2P9957L8Xggtklo9toaWlJ9+7dWb16NePHj2flypUUK1YMPz8/o/+31q1bZ6lZp86qVatYsmQJH3/8cYr3bNOmTQZ/Dxo0CH9/f2bPns3w4cMpWrQooN5x1Gq1zJw5Uz+acdeuXQkLC2Pu3Ll89tlnODs7ZzrGUqVK0a9fP3744Qc+/fRTfHx8Mr0uUzx8+JDt27fzzTff6Kd17dqVoUOH8uuvvzJ06FD9dBcXF+bMmUP37t3p0aNHqt1Q7OzsjA7qZSyL/+abbxr87eHhwYoVK6hTp47B9ClTplChQgW+//57tm/fztatWxk3bhw1a9Zk5cqVBq2UTP2sVK5cOdXn7t+/T+/evSlZsiQff/yxSevLjNT2nUmTJhm09nBycuLrr7+mW7du+mm6ZdL7vDk7Oxu9S1m+fHmDvytXrqzvIqG7e27KukEdnCsrn3tTfP311ybdGU4++KzuroutrW2K+ezs7ExqJaNbT4ECBZg3bx5btmwhJCQEf39/1qxZw9dff60f4G7Dhg1Ur17d6ACUujt1GzZswN3d3eiAV1kZVC35gKc6yY/50dHRPHnyhAYNGqAoCqdOnaJ48eKEhoayf/9+RowYYdDc8/l4+vfvz4wZM1i/fj1vvfUWoFZtSUxMpG/fvmnG5ufnx/z587l8+TLly5fnwIEDtG7dGg8PDw4cOMB7773HwYMHURQl1RYJpnq+abWfnx8rVqwwaVlfX18WL16cYnpISEi622gqJyenbLkeyMhxFtQ7hiNHjmTSpEmcOnWKmjVrZiDqjMnoNvbu3Zs33niD4OBgAgICCA4OTrVbg7e3t8nH+OrVq6f63KVLlxg6dCj169dnwIABBs/pBsPT0XUzGDduHOvXr6dnz54A+rvYderU0Xfl6Nq1Kw4ODowdO5bdu3dnaaBeXauEAQMG8Pvvv2d6YNuMWLlyJa+//rr+eF62bFlq167NypUr6dSpk8G88+fPp0KFChQrVowJEyakus758+enGLja2KCgS5YsYcmSJfq/ra2t+fjjj1MMSNyyZUuOHDnCjBkz2L59O0eOHOF///sfHh4e/Pjjj3To0EE/b2bOG8/TarX06dOH8PDwHB0MO7V9fceOHSm6Fw4aNCjFd5THjx9n6JydnLFrseXLl+vv3mdl3Tmhf//+NGrUKN35kp8D07se0M1j7PnkKlWqxM6dO4mOjubw4cPs2rXrxaraEBoaSkxMTIqLRFD7G2m1Wu7cuUPlypWZOnUqHTt2pFy5clSpUoU2bdrQr18/fZ9nW1tbvvzySz788EO8vLx49dVXadeuHf37908x4v7z/Pz8WLhwIVevXuXatWtoNBrq16+Pn58fBw4cYPDgwRw4cICGDRtmbJTL5zx/4QNq819TmyIWLVrU6IFedyGdVboPV0YuslNbxt3dPcMnpcmTJ9OkSRMWLlzIqFGjMrSsqTKzjb179+bbb7/lzJkzrFq1ip49e6Z6Ee3j45PlL9QHDhzgrbfeonXr1ib1SddoNIwaNYrt27ezb98+/UWkvb090dHRKcoh9urVi23btnHq1KlUu+qYavz48axYsYKZM2ca7V6RndauXUtCQgI1a9Y0aI5Wr149Vq5caZBIAPRf8I01DdOxtLQ0+XM6ceJE/Pz8iIqK4rfffmPNmjWpHg969epFr169iIyM5J9//mHZsmWsWrWK9u3bExAQoD8RZOXCDdQvXO3atePx48ccPHgwR2vTp7bvvPPOO7zxxhvExsayZ88evv322xR9b3XLpHfBntoFwIYNG3BxccHa2pqiRYsa9KnMyLqNxZ+WzH5Zrl27doaX0V1EGOvGEhsba1JyNSkpiS1bttC6dWvq1atHvXr1GDduHH/88QcPHz5k9+7d+mom165d03crSM21a9coX768wZgNWWVlZaVPdiZ3+/ZtJk6cyKZNm1KcE3X9cHXJ2/QS+hUqVKBOnTqsXLlSn0hYuXIlr776aorR15+nSw4cOHBA36Xk888/x8PDQ1/a78CBA7i4uKT55S89dnZ2KS64M3I94OjoaPT4kZ3lp6OiojLUjzu1Y0RGjrM6I0aM4JtvvmHy5MkG4+Bkt4xuo25sj7Vr13L69Gnq1KlDmTJljL7vdnZ2WT7GBwcH8/rrr+Pq6sr69etTrXSR3KhRo5gwYQK7du3SJxJ0x4/nrwd69+7N2LFjOXz4cJZj7dOnD9OmTWPq1Kkpvshnt4sXL3Lq1Cn69+9vcD3QtGlT5s+fr78JqVO8eHE8PT2pXLlymsfSunXrpnnNoKO7sRcfH8/x48eZPn06MTExRq8J6tSpw8aNG4mPj9d3//jmm2/o1q0bp0+fplKlSkDmzhvPGz58ONu2bePnn3/O0vEpPant67qbiElJSQQEBPD555/z6NGjFGN+ODs7Z/qcrbsWs7S0xN3dnYoVKxqco5ydndPtPpyZ64HMKlWqlMHNclOkdz2QfJ60uLi46Pfrjh07smrVKjp27MjJkycz9PnIs4mEjGjcuDHXrl3jjz/+YMeOHfz444988803LFy4UF+Wa+TIkbRv357ff/+d7du3M2HCBGbMmMGePXvSzGjrMkX79+/n+vXr1KpVC0dHR/z8/Pj222+Jiori1KlTJn2pS0tqJwAlj9T41vXhSu9CK6vLpKZx48Y0bdpU3yohJ2Qm3nr16lG6dGlGjhzJjRs30hxU6cmTJyYPPGkswXXmzBk6dOhAlSpVWL9+vckX8LpyW8n7OhYuXJj//vsvRQka3UVTdvSlLVWqFH379tW3SshJuj7PqQ1keP369QwfrDOiatWq+gNyp06diImJYfDgwTRq1ChFuTMdFxcXWrZsScuWLbG2tmb58uX8888/NGnSBHjWjzE9rq6uKU4a8fHxdOnShbNnz7J9+/YstZYyRUBAAJaWlinGOChbtqz+fWnXrh2WlpZ8+umnNGvWTH9BVqZMGaysrAwGtX1eXFwcly9fNnoR17hx4zTvXvr4+KS5blD71hcpUkR/cZk8q29MTEyMQZ37jAgLCzM6uOHz7O3t9WXadAnIoKCgFJ+noKAgk/o06kqjrlmzhjVr1qR4fuXKlQZlUbNDasmW1AZys7W1TXGxnZSURMuWLQkLC+OTTz6hQoUKODo6cu/ePQYOHJipMV369+/PiBEjuHv3LnFxcRw9epTvvvsu3eUKFy5MyZIl2b9/P76+viiKQv369fHw8GDEiBHcunWLAwcO0KBBgyzdWDDlC6E53b17l4iICLNdD+haJUyePNnk/sAZlZlttLW1pUuXLixfvpzr16+nOWBbUlKSyTXfCxYsmOLLVkREBP7+/oSHh3PgwIE070QnZ29vT6FChVJcD0DKknTZeT2ga5UwcODAHE3+APpWFaNGjTJ642nDhg0MGjQox14/+Y29tm3b4u7uzrBhw2jWrFmKgdp1bGxsqFOnDnXq1KFcuXIMGjSIdevW6Vv0Zea8kdyUKVP4/vvvmTlzpn78j5yS2r6e/CZi69atqVChAu3atWPu3LkGrTUqVqzIqVOniIuLS/Wu+tmzZ7G2tk7RKjf5tZgxFStW5PTp09y+fdvoDVzdugF9EicnrweioqJMagVgaWmpTy4nvx54XlBQEAULFky3NYIxXbp0oV+/fqxZsyZDiYQ8O9iih4cHDg4OXL58OcVzly5dwsLCwuCCqmDBggwaNIjVq1dz584dqlWrluIgXrp0aT788EP9CLXx8fF8/fXXacZRvHhxihcvzoEDBwwGUGrcuDE3b95k3bp1JCUlpXv3Nrfr52a3FStWoNFoaNmypUnzJyUlsWrVKhwcHExqtmOKyZMnExwcbNLI7ZmR0W3U6dWrF/v27aNixYrUqFEj1fnWrl2rb5WQ3uN5165do02bNnh6erJly5YM3V3W3alLfodLl92+d++ewby6wRGfvxuWWePHjycxMZEvv/wyW9ZnzI0bNzh8+DDDhg1j3bp1Bo+1a9diY2OTorpGTps5cyaxsbEmJxh1X5CTnxhM/aysXbvWYF1arZb+/fuze/duVq1apU9M5JTbt2/z999/U79+/XQz+OPGjcPZ2Znx48frpzk6OtKsWTP279/PrVu3jC7366+/EhcXR7t27TIcX7t27bhx40aqAz8dOHCAmzdvGqxbN9K1sfNPTEwMd+7cSTEatqm6dOli0v91xIgR+mV0x5V///3XYF2BgYHcvXs3zeOOzsqVK/H09DTYP3TdXRo2bMhvv/2mv1AqXbp0ugOAlS5dmsuXL6c5EJyuG+Hzo0Cn9n825ty5c1y5coWvv/6aTz75hI4dO9KiRYsUX5x0iUJTBi7r2bMnlpaWrF69mpUrV2JtbW1QdSktutaIBw4coEaNGjg7O1O9enVcXV3Ztm0bJ0+efCmuB4AMVSfKzDJpGTlyJG5ubkyZMiVb1ve8zMbbu3dvTp06xePHj/V3/I25c+eOycf4w4cPGywbGxtL+/btuXLlCn/99Zf+C48pHj9+zIMHD8xyPdC3b1/KlCnDlClTcuwmmaIorFq1imbNmqW4Hli3bh3VqlUzOthqTnr33XcpXbo048ePN2m7jV0PZOa8oTN//nwmT57MyJEj9V1Zc0pGrv1ff/11mjRpwvTp0w2qjLVr147Y2FjWrVtndLmbN29y4MABXnvttQx3ddad51OrihcZGckff/xBhQoV9ImQtK4HdNMzez3w1VdfmfR/Td5NtkiRInh4eKS4HgA4duyYSdcDxsTFxaHVajNcaS/PtkiwtLSkVatW/PHHH9y8eVNfliIkJIRVq1bRqFEj/d2jhw8f6kfkBLV/TpkyZbhz5w6AvklR8oxR6dKlcXZ2NmnEcz8/P/bs2cP9+/f1WTPdBcTMmTOxt7dPt9mRo6MjkPGyGnnBzJkz2bFjBz179kx1HIPkkpKS+OCDD7h48SKffvqpQROyrGjSpAlNmzblyy+/zPaTUEa3Mbm3334bS0vLFKVknpfZMRKCg4Np1aoVFhYWbN++PdWTelhYGK6urgZ3sxISEpg5cyY2NjY0a9ZMP71Hjx6sWbOGJUuW6L/sarVafvrpJwoWLJgtzehA3c/69u3LokWLKFGiRLY2g9bRXRR8/PHHRu/+//jjj6xcudLgy2tOK126NF27dmXZsmVMnjwZb29vYmJiOHPmjNFR4bdu3QoY9vfP7BgJw4cPZ+3atSxatCjVux/ZJSwsjF69epGUlKQvsZcWNzc33n33Xf73v/9x+vRp/Qlv/Pjx7N69m4EDB7JlyxaDi4MbN27w8ccf4+Pjw7vvvpvhGD/66CN++eUX3n33Xfbv329wrggLC+O9997DwcGBjz76SD+9efPm2NjYsGDBAl577TWDu8s//PADiYmJ+Pv7ZzgWyFxf18qVK1OhQgV++OEH3n33Xf0+vmDBAjQajcGYExEREQQFBeHj46O/M3X79m02btzIG2+8YTDvzz//jEaj4YMPPqBHjx5s2rSJHj160LVrV6ZOncpvv/2Woj+zoihoNBq6du3K5s2b+e6771Lc9dPNU6JECSwtLdm/f79Bc+bvv//e5PdLt63Jj/mKoqToLuXh4UHjxo1ZunQpo0ePNrjbpItHx93dHX9/f3755RdiY2Np06aNySOY+/n58fPPP7N27Vr9Z8DCwoIGDRowe/ZsEhIS0h0fQVfiND9eD+zZs4dp06ZRsmRJfXnO9KxatYoff/yR+vXr07x582yJI3mrhOxupp2ZbdRp1qwZ06ZNo1ChQml2nc3sGAlJSUn06NGDI0eO8Mcff6RaZSQ2NpaEhIQUyd1p06ahKApt2rTRT+vYsSMjRozgp59+YuDAgfrj3Y8//giQ4ZsrqUneKiGnHDp0iJs3bzJ16lSDY53OlStXmDBhAoGBgSa34sgqKysrPvzwQ95//33++OMP/bFw7969NG3aNEViccuWLYDh9UBmx0hYu3YtH3zwAX369GH27NlZ3JK0Zeba/5NPPqFt27YsXryYkSNHAmriZe7cuXz00Uc0aNDAoDVpbGwsgwYNQlEUJk6cmOEYu3XrxhdffMHMmTNp06aNQStHrVbLkCFDePTokcE5ysfHhxo1avDLL78wZswYg3KdJ06c4OjRo/rKfBmVmTESQB3DZPny5dy5c0d/3bt7926uXLlicD5OSEjg2rVr+taZoJ53HB0dU1SX0+3vpnTfSc7siYSlS5eybdu2FNNHjBjB559/zs6dO2nUqBHvv/8+VlZWLFq0iLi4OIOa35UqVaJp06bUrl2bggUL8u+//7J+/Xr94INXrlyhefPmdO/enUqVKmFlZcVvv/1GSEhImhljHT8/P1auXIlGo9H/wy0tLWnQoAHbt2+nadOmKZqdPa9GjRpYWlry5ZdfEhERga2tLa+99lq21IrNLomJifomYbGxsdy6dYtNmzZx9uxZmjVrZrT0VEREhH6ZmJgYrl69ysaNG7l27Ro9e/Zk2rRpKZa5d++e0drMTk5O6fadmzRpksEX4ozKzDamp0SJEibVnM3sGAlt2rTh+vXrfPzxxxw8eNDgzqqXl5f+JL9p0yY+//xzunXrRsmSJQkLC2PVqlUEBAQwffp0g4uajh070rx5c2bMmMGDBw+oXr06v//+OwcPHmTRokUGzaIGDhzI8uXLuXHjhj6hlxHjxo1jxYoVXL58Oc2BAdMye/Zs/cW3joWFBZ999hkrV66kRo0aqXYh6NChA8OHD+fkyZNGy3ClJvln5XmdO3fWJwdT89FHH/Hrr78yZ84cZs6cSUxMDA0aNODVV1+lTZs2FCtWjPDwcH7//XcOHDhAp06dDLpZZaZP6pw5c/j++++pX78+Dg4OKeJPHve+ffto1qwZkyZNMunze+XKFX755RcURSEyMpIzZ86wbt06oqKimD17tsGFaVpGjBihf090TewbN27MV199xejRo6lWrRoDBw7Ex8eHS5cusXjxYrRaLVu2bMnQQLk6ZcuWZfny5fTp04eqVavy1ltvUbJkSW7evMmSJUt48OABq1evNhhbwdPTk4kTJzJ+/HgaN25Mhw4dcHBw4PDhw6xevZpWrVrRvn37DMcCme/rOmvWLDp06ECrVq3o2bMnAQEBfPfdd7z99tsGg3TqyhzrvhSAOnDf48ePefz4MYsXLyYsLIwNGzZw/Phxhg8fTrdu3fDw8GDlypX06NGDjz76iPXr1/PGG2/w5ptvUrt2bcLCwti0aRMLFy6kevXq9O/fn59//pnRo0dz7Ngx/Pz8iI6OZteuXbz//vt07NgRV1dX3njjDebNm4dGo6F06dL89ddf3L9/3+TtrlChAqVLl2bMmDHcu3cPFxcXNmzYYPSi+ttvv6VRo0bUqlWLd955R/9/3rx5M6dPnzaYt3///vovGsbOU6nRJQkuX77M9OnT9dMbN27M1q1bsbW1TTHI6vPs7e2pVKkSa9eupVy5chQsWJAqVarkeBekjNq6dSuXLl0iMTGRkJAQ9uzZw86dOylRogSbNm0y2px3/fr1ODk5ER8fz71799i+fTuHDh2ievXqRu8wZuU4qxsr4cyZM+kej7NzG9NiYWFhUtI6s2MkfPjhh2zatIn27dsTFhaW4r3TjYMUHBxMzZo16dWrFxUqVABg+/btbNmyhTZt2tCxY0f9Mt7e3owbN46JEyfSpk0bOnXqxJkzZ1i8eDG9evUy+DwvW7YsxfElI3RjJTy/P2bEhg0buHTpUorpAwYMYOXKlVhaWvL6668bXbZDhw6MGzeONWvWpBj8MD26z8rznv+ya8zAgQOZOHEiX375pf46d/jw4cTExNC5c2cqVKhAfHw8hw8fZu3atfj6+hp0v8jMeePYsWP079+fQoUK0bx58xQtMZ6PW6PR0KRJE/bt25fuujNz7W+Mv78/VapUYfbs2QwdOhRra2sKFSrE+vXref3116lVqxZvv/02lSpVIjg4mGXLlnH16lXmzp1LgwYNTH8znrKxsWH9+vU0b96cRo0aMWjQIF555RXCw8NZtWoVJ0+e5MMPP0zx3XD27Nm0bt2aGjVqMHDgQAoXLszFixf54Ycf8PHxYezYsRmOBTI3RgLAZ599xrp162jWrBkjRowgKiqKWbNmUbVqVYPPzb1796hYsSIDBgxg2bJlgHrt98EHH9CtWzfKli1LfHw8Bw4cYOPGjbzyyisZH5A3w3Ueskl6pfDu3LmjKIqinDx5UmndurXi5OSkODg4KM2aNVMOHz5ssK7PP/9cqVu3ruLm5qbY29srFSpUUL744gt9CZUHDx4oQ4cOVSpUqKA4Ojoqrq6uSr169ZRff/3VpFjPnz+vAErFihVTvC5gtKza8+UfFUVRFi9erJQqVUqxtLQ0KOmTWinDJk2apFpiLDnSKM1mrMRRaiWMkr//Dg4Oiq+vr9K1a1dl/fr1SlJSktH4ki/j5OSklC1bVunbt6+yY8cOo/GkVf4xeXmTtEoD6V43M+UfM7ONqZV/TIsppaVMldZ+kvzz8e+//yrt27dXihQpotjY2ChOTk5Ko0aNUv2cP378WBkxYoTi7e2t2NjYKFWrVlV++eWXFPN17dpVsbe3Vx49epRmnGlts+69z2z5R2MPS0tL5cSJE6nugzo3b95UwLCsp7FyXMbiTe1x48YNRVHSLwvUtGlTxcXFRQkPD1cSEhKUxYsXK506dVJKlCih2NraKg4ODkrNmjWVWbNmKXFxcRl6b7ISt6Ioyp9//qkAysKFC9Ndb/J1WFhYKG5ubkrNmjWVESNGKOfPn08xf3rv78CBAxVLS0vl6tWrBtP379+vdOzYUXF3d1esra2V4sWLK4MHD1Zu3ryZYh0ZLR929uxZpVevXoqPj49ibW2teHt7K7169VLOnTuX6jK//PKL8uqrryqOjo6Kra2tUqFCBWXKlClpllZKr/xjVvz2229KjRo1FFtbW6Vo0aLK+PHjU5QK0+2HyUsrvvrqq4qFhYXi7e2tWFtbK87OzkrDhg2Vn376SV+ObeDAgYq1tbXy4MEDRVHUMmHDhg3TH0+KFi2qDBgwQP+8oqhlGceNG6eULFlS/55269bNoGRzaGio0rVrV8XBwUEpUKCA8u677yoBAQEpYkyrhN+FCxeUFi1aKE5OToq7u7syePBg5cyZMynWoSiKEhAQoHTu3Flxc3NT7OzslPLlyxs9PsTFxSkFChRQXF1dlSdPnpj0/ut4enoqgBISEqKfdvDgQQUwWlbt+fKPiqIohw8fVmrXrq3Y2NgoJCsPltr7oPu8pyet0mzG9su0yj/qHjY2Noq3t7fSsmVLZe7cufqSesbi0z3s7OyUokWLKu3atVOWLl1qdJ/JjuOs7nUzW/4xM9uYkdLZipL+8TAj0isDqPPo0SOlb9++SpkyZRQHBwfF1tZWqVy5sjJ9+nSj5QW1Wq0yb948pVy5coq1tbVSrFgxo8eXefPmKWC8bLKp25z8vc9M+cfUHvv371cKFSqUbmnDkiVLGpT1VJS0r+vS+76S/BiU1vX45MmTDc4NW7duVd58802lQoUKipOTk2JjY6OUKVNGGT58uMGxJbMyEvfjx48VQOnZs2e6683stX9q7++yZcuMHstv3LihDB48WClevLhibW2tuLu7Kx06dFAOHDiQYh0ZKQ2qKGrJ39GjRytlypRRbG1tFTc3N6VFixb6ko/GHD16VGnXrp1SoEABxcrKSilSpIjy9ttvK3fv3k11mfTKP2ZFQECA0qpVK8XBwUFxc3NT+vTpowQHBxvMo9sPk38fvXr1qtK/f3+lVKlSir29vWJnZ6dUrlxZmTRpkhIVFZXhODSKkkdG8xNC5EleXl70798/W8qIirzj448/ZvXq1Vy9ejVTA/MIkZ8lJiZSuHBh2rdvb1CqTQiRuu7du3Pz5k2OHTtm7lBENtqyZQvt2rXjzJkzVK1a1dzhiHzE7F0bhBB51/nz53ny5EmOD9Ajct/evXuZMGGCJBHES+n3338nNDSU/v37mzsUIfIFRVHYt29fql1RRP61d+9eevbsKUkEkWHSIkHke+mVxUleNkXkDREREamW0tFJa6AqIYTIjH/++YezZ88ybdo03N3dOXnypLlDEtnIlHJqHh4eeb7E5svElNLYxkpgCiHMT1okiHyvS5cu/P3336k+X6JECW7evJl7AYl0jRgxguXLl6c5j+Q4hRDZbcGCBfzyyy/UqFFDP/iUeHF89dVX6ZaEzOzAwSJnrF271mCAOGN0FQ6EEHmLtEgQ+d6JEyfSLItjb29Pw4YNczEikZ4LFy7oa1SnJjMjWgshhHh5Xb9+nevXr6c5T6NGjTJcjUHknKCgIM6fP5/mPLVr185U1R4hRM6SRIIQQgghhBBCCCFMZmHuAIQQQgghhBBCCJF/vHRjJGi1WgIDA3F2dkaj0Zg7HCGEEC85RVF4/PgxhQsXxsJC8vtpkXO4EEKIvORlPoe/dImEwMBAihUrZu4whBBCCAN37tyhaNGi5g4jT5NzuBBCiLzoZTyHv3SJBGdnZ0D9Z7u4uJg5GiGEEC+7yMhIihUrpj8/idTJOVwIIURe8jKfw1+6RIKuKaSLi4tchAghhMgzpKl++uQcLoQQIi96Gc/hL1dHDiGEEEIIIYQQQmSJJBKEEEIIIYQQQghhMkkkCCGEEEIIIYQQwmQv3RgJQgiRXyQlJZGQkGDuMEQWWVtbY2lpae4wXiqy7+Q/NjY2L13pNCGEyM8kkSCEEHmMoigEBwcTHh5u7lBENnFzc8Pb2/ulHIwpN8m+k39ZWFhQsmRJbGxszB2KEEIIE0giQQgh8hjdFyFPT08cHBzky2c+pigKMTEx3L9/HwAfHx8zR/Rik30nf9JqtQQGBhIUFETx4sXl/yaEEPmAJBKEECIPSUpK0n8RKlSokLnDEdnA3t4egPv37+Pp6SndHHKI7Dv5m4eHB4GBgSQmJmJtbW3ucIQQQqRDOqMJIUQeouvX7eDgYOZIRHbS/T+l337OkX0nf9N1aUhKSjJzJEIIIUwhiQQhhMiDpGnvi0X+n7lH3uv8Sf5vQgiRv0giQQghhBBCCCGEECaTRIIQQog8ydfXlzlz5pg7jJfa/Pnz8fX1xc7Ojnr16nHs2LFU501ISGDq1KmULl0aOzs7qlevzrZt27K0TpF5sv8IIYTISZJIEEIIkSUajSbNx+TJkzO13uPHj/POO+9kKbamTZsycuTILK3jZbV27VpGjx7NpEmTOHnyJNWrV6d169b6ChTPGz9+PIsWLWLevHlcuHCB9957j86dO3Pq1KlMr/NlkJf3H53Vq1djaWnJ0KFDs2V9Qggh8j9JJAghhMiSoKAg/WPOnDm4uLgYTBszZox+XkVRSExMNGm9Hh4eMnCeGc2ePZvBgwczaNAgKlWqxMKFC3FwcGDp0qVG51+xYgWfffYZbdu2pVSpUgwZMoS2bdvy9ddfZ3qdL4P8sP8sWbKEjz/+mNWrVxMbG5st6xRCCJG/SSJBCCFElnh7e+sfrq6uaDQa/d+XLl3C2dmZrVu3Urt2bWxtbTl48CDXrl2jY8eOeHl54eTkRJ06ddi1a5fBep9vmq3RaPjxxx/p3LkzDg4OlC1blk2bNmUp9g0bNlC5cmVsbW3x9fU1+NIL8P3331O2bFns7Ozw8vKiW7du+ufWr19P1apVsbe3p1ChQrRo0YLo6OgsxZNXxMfHc+LECVq0aKGfZmFhQYsWLThy5IjRZeLi4rCzszOYZm9vz8GDBzO9zpdBXt9/bty4weHDh/n0008pV64cGzduTDHP0qVL9fuRj48Pw4YN0z8XHh7Ou+++i5eXF3Z2dlSpUoW//vor82+YEEKIPEESCVnwICqOVf/c5k5YjLlDEUK8wBRFISY+MdcfiqJk2zZ8+umnzJw5k4sXL1KtWjWioqJo27Ytu3fv5tSpU7Rp04b27dtz+/btNNczZcoUunfvztmzZ2nbti19+vQhLCwsUzGdOHGC7t2707NnT86dO8fkyZOZMGECy5YtA+Dff//lgw8+YOrUqVy+fJlt27bRuHFjQL2L3KtXL958800uXrzIvn376NKlS7a+Z+b04MEDkpKS8PLyMpju5eVFcHCw0WVat27N7Nmz+e+//9BqtezcuZONGzcSFBSU6XXGxcURGRlp8MiIF2HfAfPuPz/99BOvv/46rq6u9O3blyVLlhg8v2DBAoYOHco777zDuXPn2LRpE2XKlAFAq9Xi7+/PoUOH+OWXX7hw4QIzZ87E0tIya2+IEEJkUkKSlr+vhLItwPh5R5jOytwB5Gdj1p1h3+VQPmpdnqHNypg7HCHEC+pJQhKVJm7P9de9MLU1DjbZc5qYOnUqLVu21P9dsGBBqlevrv972rRp/Pbbb2zatMngbubzBg4cSK9evQCYPn063377LceOHaNNmzYZjmn27Nk0b96cCRMmAFCuXDkuXLjArFmzGDhwILdv38bR0ZF27drh7OxMiRIlqFmzJqAmEhITE+nSpQslSpQAoGrVqhmO4UUyd+5cBg8eTIUKFdBoNJQuXZpBgwZlqdvCjBkzmDJlSqaXfxH2HTDf/qPValm2bBnz5s0DoGfPnnz44YfcuHGDkiVLAvD555/z4YcfMmLECP1yderUAWDXrl0cO3aMixcvUq5cOQBKlSqVmbdACCEyLS4xiUNXH7DlXDA7L4QQ8SSBku6OtK7sJaVns0BaJGSBfxVvALacCzJzJEIIkbe98sorBn9HRUUxZswYKlasiJubG05OTly8eDHdO6rVqlXT/+7o6IiLi0umB+q7ePEiDRs2NJjWsGFD/vvvP5KSkmjZsiUlSpSgVKlS9OvXj5UrVxITo7ZAq169Os2bN6dq1aq88cYbLF68mEePHmUqjrzI3d0dS0tLQkJCDKaHhITg7e1tdBkPDw9+//13oqOjuXXrFpcuXcLJyUn/xTEz6xw7diwRERH6x507d7Jh6/Ifc+0/O3fuJDo6mrZt2wLq/7Bly5b65ND9+/cJDAykefPmRpc/ffo0RYsW1ScRhBAit8QmJLHjfDCj1p7mlWm7eHPZv6w/cZeIJwm4O9nSsEwh4hK15g4zX5MWCVnQspI3n/0WwPnASG4/jKF4IRkUTAiR/eytLbkwtbVZXje7ODo6Gvw9ZswYdu7cyVdffUWZMmWwt7enW7duxMfHp7kea2trg781Gg1abc5cCDg7O3Py5En27dvHjh07mDhxIpMnT+b48eO4ubmxc+dODh8+zI4dO5g3bx7jxo3jn3/+0d+pzc9sbGyoXbs2u3fvplOnToB6d3r37t1p3vEGsLOzo0iRIiQkJLBhwwa6d++e6XXa2tpia2ub6e14EfYdMN/+s2TJEsLCwrC3t9dP02q1nD17lilTphhMNya954UQIjs9iU/i7yv32XwumD0XQ4iOT9I/5+lsi38Vb/yr+lDHtyCWFtISIaskkZAFBR1teLVUQQ5dfcjWgCDebVLa3CEJIV5AGo0mW5tJ5wWHDh1i4MCBdO7cGVDvsN68eTNXY6hYsSKHDh1KEVe5cuX0fbitrKxo0aIFLVq0YNKkSbi5ubFnzx66dOmCRqOhYcOGNGzYkIkTJ1KiRAl+++03Ro8enavbkVNGjx7NgAEDeOWVV6hbty5z5swhOjqaQYMGAdC/f3+KFCnCjBkzAPjnn3+4d+8eNWrU4N69e0yePBmtVsvHH39s8jqz24u470Du7D8PHz7kjz/+YM2aNVSuXFk/PSkpiUaNGrFjxw7atGmDr68vu3fvplmzZinWUa1aNe7evcuVK1ekVYIQIkdExyWy9/J9tp4LZs+l+zxJeJY88HG1w7+KD22relOreAEsJHmQrV68s2sua1PFh0NXH7IlIFgSCUIIYaKyZcuyceNG2rdvj0ajYcKECTnWsiA0NJTTp08bTPPx8eHDDz+kTp06TJs2jR49enDkyBG+++47vv/+ewD++usvrl+/TuPGjSlQoABbtmxBq9VSvnx5/vnnH3bv3k2rVq3w9PTkn3/+ITQ0lIoVK+bINphDjx49CA0NZeLEiQQHB1OjRg22bdumHyzx9u3bWFg86yEZGxvL+PHjuX79Ok5OTrRt25YVK1bg5uZm8jqFaXJj/1mxYgWFChWie/fuKfoQt23bliVLltCmTRsmT57Me++9h6enJ/7+/jx+/JhDhw4xfPhwmjRpQuPGjenatSuzZ8+mTJkyXLp0CY1Gk6lxTYQQAuBxbAJ7LqnJg31X7hOb8Oz4V8TNnrZVvWlb1YfqRd0keZCDJJGQRa0rezHxjwDO3AnnXvgTirhJMz4hhEjP7NmzefPNN2nQoAHu7u588sknGR6R31SrVq1i1apVBtOmTZvG+PHj+fXXX5k4cSLTpk3Dx8eHqVOnMnDgQADc3NzYuHEjkydPJjY2lrJly7J69WoqV67MxYsX2b9/P3PmzCEyMpISJUrw9ddf4+/vnyPbYC7Dhg1LtdvBvn37DP5u0qQJFy5cyNI6hWlyY/9ZunQpnTt3NjoQWdeuXenXrx8PHjxgwIABxMbG8s033zBmzBjc3d0NyqRu2LCBMWPG0KtXL6KjoylTpgwzZ87M1liFEC++iCcJ7L4YwpZzwez/L5T4ZOMbFC/oQNuqasuDqkVcZQDFXKJRXpRaVSaKjIzE1dWViIgIXFxcsmWd3Rce4djNMCa0q8RbjfJ/31ghhPnExsbqR0S3s7Mzdzgim6T1f82J89KLKq33Svad/E3+f0KI54XHxLPjQghbzwVx8OoDEpKefW0t5e5I26o++Ff1ppKPi9mSBy/zOVxaJGQD/6reHLsZxraAIEkkCCGEEEIIIUQmhEXHs+N8MFsCgjl89QGJ2mfJg7KeTk9bHvhQzstJWh6YmSQSskGbKt5M+fMC/956xP3IWDxdJJMuhBBCCCGEEOkJfRzH9vPBbA0I4uj1MJKSJQ8qeDurLQ+qeFPWy9mMUYrnSSIhG/i42lOzuBunboez/Xww/er7mjskIYQQQgghhMiT7kfGsu18MFvOBXHsRhjJcgdUKeKCfxU1eVDKw8l8QYo0SSIhm7St4sOp2+FsOSeJBCGEEEIIIYRILijiCVvPqS0P/r31iOQj9VUv6op/VR/aVvGheCEH8wUpTCaJhGzSpoo3X2y5yD83HvIwKo5CTrbmDkkIIYQQQgghzObuoxi2BagtD07eDjd4rlZxN9pW9aFNFW+KFpDkQX4jiYRsUqygA1WLuHLuXgQ7LoTQq25xc4ckhBBCCCGEELnq9sMYtgQEsfVcEGfuRuinazRQp0RB/Kt606aKNz6u9maMUmSVJBKyUZsq3py7F8GWc0GSSBBCCCGEEEK80GITkgiOiCUw4snTbt5BnA+M1D9voYG6JQvStqoPrSt74yWD0r8wJJGQjfyreDNr+2WOXHtIeEw8bg425g5JCCGEEEIIITIsIUlLcEQsQRGxBEU8UX+GPyFQ93d4LA+j41MsZ2mhoX6pQvhX9aZVJW88nKXL94tIEgnZqJSHExW8nbkU/JidF0J445Vi5g5JCCGEEEKIl1qSVuHGgyjOB0ZyITCSC0GRxCYkUcDBRn042lDQ0Ro3BxsK6v+2oYCDNS521lhYaMy9CdkuSasQ+jiOwKcJgaCIJwTqfj5NGIRGxRkMiJgaO2sLCrvaU9LdkZaVvGhV2ZuCjnJD9UUniYRs5l/Fh0vBj9kWECyJBCGEyICmTZtSo0YN5syZY+5QhMh3ZP8RQvUkPolLwWqy4EJgJOcDI7kUHElsgjZT67PQoE82FHCwpoDD0ySD0b/VRISznZVZkw9arcLD6HiD5EBQRCyB4c9aFYQ8jiNJm36WwMbSAm9XO3xc7SjsZo/P0999XO3xcbOjsKs9bg7WaDQvXrJFpE0SCdmsbVVvvtl1hQP/PeBxbALOdtbmDkkIIXJU+/btSUhIYNu2bSmeO3DgAI0bN+bMmTNUq1YtS6+zbNkyRo4cSXh4eJbWI0Reklv7j86TJ08oUqQIFhYW3Lt3D1tbaXIs8q+w6PinyYIILgSpSYProVEY+35sb21JRR9nKhV2oXJhV1ztrXkUE8+j6HjCohPU33V/x8TzKDqBqLhEtAo8jI432oQ/NZYWGtzsrdWWDQ42FHC0ftbyIXlSItnfLnZWJn0ZVxSF8JgEw5YEybocBD99xCelnzixtNDg7aImBrwNEgX2FHZTfxZytHkhW2SIrJNEQjYr6+VMaQ9HroVGs+fSfTrWKGLukIQQIke99dZbdO3albt371K0aFGD53766SdeeeWVbPsSJMSLJrf3nw0bNlC5cmUUReH333+nR48e2bZuIXKKoijcffRETRg8bWVwISiSoIhYo/O7O9lQqbArlXxcniYOXPAt5IhlBr8QxydqCY9REwth0fGExyQQFv0s2aD/O9nzUXGJJD1tEZDR5IOuhUOBp8mHgo42uNhZ61sXBIWrgxqa0rpCowEPJ1t83Owp/FxyQNeSwMPZNsPviRA6kkjIAW2r+jBvz1W2nAuSRIIQ4oXXrl07PDw8WLZsGePHj9dPj4qKYt26dcyaNYuHDx8ybNgw9u/fz6NHjyhdujSfffYZvXr1yrY4bt++zfDhw9m9ezcWFha0adOGefPm4eXlBcCZM2cYOXIk//77LxqNhrJly7Jo0SJeeeUVbt26xbBhwzh48CDx8fH4+voya9Ys2rZtm23xCWFMbu8/S5YsoW/fviiKwpIlS1IkEs6fP88nn3zC/v37URSFGjVqsGzZMkqXLg3A0qVL+frrr7l69SoFCxaka9eufPfdd1l7E4RIJj5Ry9X7UQatDC4GRfI4NtHo/L6FHPStDCr5qEkDD2fbbGlqb2NlgaeLHZ4ZqDQQl5hkkGB4FJ3wtIVD8hYPCQZ/R8cnkaRVeBAVz4Mo05IPhRxt8HmaGCjsaofP09YEulYFXi52WFtaZHbThUiXJBJyQJsq3szbc5V9l0OJjkvE0VbeZiFEFigKJMTk/utaO6i3NNJhZWVF//79WbZsGePGjdNfvK1bt46kpCR69epFVFQUtWvX5pNPPsHFxYXNmzfTr18/SpcuTd26dbMcqlarpWPHjjg5OfH333+TmJjI0KFD6dGjB/v27QOgT58+1KxZkwULFmBpacnp06extla7nw0dOpT4+Hj279+Po6MjFy5cwMnJKctxCTPL4/sO5O7+c+3aNY4cOcLGjRtRFIVRo0Zx69YtSpQoAcC9e/do3LgxTZs2Zc+ePbi4uHDo0CESE9UvcAsWLGD06NHMnDkTf39/IiIiOHToUAbfHCGeeRybwMWgx1wIjNC3MvgvJMpos3wbSwvKeTs9TRa4UqmwCxV9XHDKY9fZtlaWeLlYZqjMYWyCmnww7FoRz6OYBCKeJFDQ0ebZuARPuyHYWVvm4FYIkb68tee9ICr5uFCikAO3Hsaw73Ior1fzMXdIQoj8LCEGphfO/df9LBBsHE2a9c0332TWrFn8/fffNG3aFFCbZXft2hVXV1dcXV0ZM2aMfv7hw4ezfft2fv3112xJJOzevZtz585x48YNihVTB7r9+eefqVy5MsePH6dOnTrcvn2bjz76iAoVKgBQtmxZ/fK3b9+ma9euVK1aFYBSpUplOSaRB+SDfQdyb/9ZunQp/v7+FChQAIDWrVvz008/MXnyZADmz5+Pq6sra9as0SfZypUrp1/+888/58MPP2TEiBH6aXXq1DH59cXLS1EU7j+OS9E14dZD44k+Zzsrg4RB5cIulPZwwsbqxbzDbmdtiberJd6upicfhDA3SSTkAI1GQ5sq3iz6+zpbAoIkkSCEeOFVqFCBBg0asHTpUpo2bcrVq1c5cOAAU6dOBSApKYnp06fz66+/cu/ePeLj44mLi8PBwSFbXv/ixYsUK1ZMn0QAqFSpEm5ubly8eJE6deowevRo3n77bVasWEGLFi1444039M21P/jgA4YMGcKOHTto0aIFXbt2lXEdRK7Jjf0nKSmJ5cuXM3fuXP20vn37MmbMGCZOnIiFhQWnT5/Gz89Pn0RI7v79+wQGBtK8efOsb7B4oamlFqOfdktQEwcXAiNTHS+gsKsdlQq76Mc0qFzYhaIF7KUKgBB5nCQSckjbKj4s+vs6ey/dJzYhSZofCSEyz9pBvcNpjtfNgLfeeovhw4czf/58fvrpJ0qXLk2TJk0AmDVrFnPnzmXOnDlUrVoVR0dHRo4cSXy86QNRZdXkyZPp3bs3mzdvZuvWrUyaNIk1a9bQuXNn3n77bVq3bs3mzZvZsWMHM2bM4Ouvv2b48OG5Fp/IAflk34Gc33+2b9/OvXv3UoyJkJSUxO7du2nZsiX29vapLp/Wc0LceBDNptOB7Ltyn0tBj3mSkJRiHgsNlPF0SjYAoisVfVwo6GhjhoiFEFkliYQcUq2oK0Xc7LkX/oS/r4TSurK3uUMSQuRXGk2GmkmbS/fu3RkxYgSrVq3i559/ZsiQIfo7SocOHaJjx4707dsXUMc0uHLlCpUqVcqW165YsSJ37tzhzp07+lYJFy5cIDw83OA1ypUrR7ly5Rg1ahS9evXip59+onPnzgAUK1aM9957j/fee4+xY8eyePFiSSTkd/lk34Gc33+WLFlCz549GTdunMH0L774giVLltCyZUuqVavG8uXLSUhISNEqwdnZGV9fX3bv3k2zZs2yuLXiRRAU8YS/zgSx6Uwg5+5FGDxnb21JBR9nKhd2oZKPK5ULu1De21lurAnxApFEQg7RdW9YcvAG2wKCJZEghHjhOTk50aNHD8aOHUtkZCQDBw7UP1e2bFnWr1/P4cOHKVCgALNnzyYkJCTDiYSkpCROnz5tMM3W1pYWLVpQtWpV+vTpw5w5c0hMTOT999+nSZMmvPLKKzx58oSPPvqIbt26UbJkSe7evcvx48fp2rUrACNHjsTf359y5crx6NEj9u7dS8WKFbP6lghhspzcf0JDQ/nzzz/ZtGkTVapUMXiuf//+dO7cmbCwMIYNG8a8efPo2bMnY8eOxdXVlaNHj1K3bl3Kly/P5MmTee+99/D09MTf35/Hjx9z6NAhSbi9RB5Fx7MlIIhNpwM5djMMRVGnW1poaFjGnXbVfKhVvAAl3TNealEIkb9IIiEH+T9NJOy6EEJcYhK2VpKFFUK82N566y2WLFlC27ZtKVz42SB348eP5/r167Ru3RoHBwfeeecdOnXqRERERBprSykqKoqaNWsaTCtdujRXr17ljz/+YPjw4TRu3Nig/COApaUlDx8+pH///oSEhODu7k6XLl2YMmUKoCYohg4dyt27d3FxcaFNmzZ88803WXw3hMiYnNp/fv75ZxwdHY2Ob9C8eXPs7e355Zdf+OCDD9izZw8fffQRTZo0wdLSkho1atCwYUMABgwYQGxsLN988w1jxozB3d2dbt26Zc/GizwrKi6RnReC2XQ6kAP/PSBRq+ifq+NbgA7VC9O2qg+FnGzNGKUQIrdpFEVR0p/txREZGYmrqysRERG4uLjk6GtptQqvztjN/cdx/DSwDs0qeObo6wkh8r/Y2Fhu3LhByZIlsbOT0ZtfFGn9X3PzvJTfpfVeyb6Tv8n/L2+JS0xi3+VQNp0JZPfFEGITnpVjrFzYhQ7VC9OuemGKuMnYGeLl9jKfw6VFQg6ysNDgX8Wb5UduseVckCQShBBCCCFEnpSYpOXI9YdsOh3ItvPBPI5N1D9X0t2R9tUL06F6Ycp4OpkxSiFEXiGJhBzWpooPy4/cYseFEKYnabG2fDHr3wohhBBCiPxFURRO3n7EptOBbD4XxIOoZ5VAvF3saF/dhw7Vi1CliIuUYxRCGJBEQg6rW7IghRxteBgdz9HrD/Er62HukIQQQgghxEtKURQuBT9m05lANp0O5F74E/1zBRysaVvVhw7VC1PHtyAWMmCiECIVkkjIYZYWGlpV9mb1sdtsORcsiQQhhBBCCJHrbj2MZtPpQDadCeS/+1H66Y42lrSq7E2H6oVpVNZdWs8KIUwiiYRc0LaqmkjYcT6YzztVkXI4QgghhBAix4VExvLnmUD+PBPImbvPqnzYWFrQrIIHHaoX4bUKntjbSGUxIUTGSCIhF7xaqhCu9tY8jI7n2I0w6pcuZO6QhBB5nFarTX8mkW/I/zP3yHudP71kRcRyVHhMPFsD1HKNR288RPfWWmigYRl32lcvTOvK3rjaW5s3UCFEviaJhFxgbWlBq0perDtxl20BQZJIEEKkysbGBgsLCwIDA/Hw8MDGxkYGuMrHFEUhPj6e0NBQLCwssLGxMXdILyzZd/IvRVEIDQ1Fo9FgbS1fbjMjOi6RXRdD2HQ6kP3/hZKQ9CwxU7tEATpUL0zbqj54ONuaMUohxItEEgm5xL+qN+tO3GVrQDCT2leWwWuEEEZZWFhQsmRJgoKCCAwMNHc4Ips4ODhQvHhxLCyk73FOkX0nf9NoNBQtWhRLS2lib6q4xCT2X3nApjOB7LoQwpOEJP1zFbyd6VCjMO2rFaZYQQczRimEeFFJIiGXNCzjjrOtFfcfx3HqziNqlyho7pCEEHmUjY0NxYsXJzExkaSkpPQXEHmapaUlVlZWcnc8F8i+k39ZW1tLEsEESVqFo9cfsul0IFsDgoiMTdQ/V6KQAx2qF6ZD9cKU9XI2Y5RCiJeBJBJyia2VJS0qefHbqXtsORcsiQQhRJp0TXylma8QGSP7jnjRKIrCqTvhbDodyOZzQYQ+jtM/5+lsS7tqhelQozDVi7pKwlIIkWvM3sZy/vz5+Pr6YmdnR7169Th27Fia84eHhzN06FB8fHywtbWlXLlybNmyJZeizZo2VbwB2BYQLIMKCSGEEEKIVCmKwpZzQbz29d90+f4wyw7fJPRxHK721vSqW4xVg+txZGxzJravRI1ibpJEEELkKrO2SFi7di2jR49m4cKF1KtXjzlz5tC6dWsuX76Mp6dnivnj4+Np2bIlnp6erF+/niJFinDr1i3c3NxyP/hMaFLOAwcbS+6FP+Hs3QiqF3Mzd0hCCCGEECKPCbgXwdS/LnDsRhgA9taWtKrsRYfqhfEr64GNldnvBQohXnJmTSTMnj2bwYMHM2jQIAAWLlzI5s2bWbp0KZ9++mmK+ZcuXUpYWBiHDx/WN1n09fXNzZCzxM7akmYVPNl8NogtAUGSSBBCCCGEEHqhj+P4esdl1v57B0UBWysL3m1Smncbl8LRVnokCyHyDrOlM+Pj4zlx4gQtWrR4FoyFBS1atODIkSNGl9m0aRP169dn6NCheHl5UaVKFaZPn56vBlRqW8UHkO4NQgghhBBCFZeYxKK/r9Hsq32sOa4mEdpXL8yeMU0Z3bKcJBGEEHmO2Y5KDx48ICkpCS8vL4PpXl5eXLp0yegy169fZ8+ePfTp04ctW7Zw9epV3n//fRISEpg0aZLRZeLi4oiLezYoTWRkZPZtRCY0Le+BrZUFtx7GcCEoksqFXc0ajxBCCCGEMA9FUdh5IYQvtlzk1sMYAKoWcWVS+0q84isDcwsh8q58ld7UarV4enryww8/YGlpSe3atbl37x6zZs1KNZEwY8YMpkyZksuRps7R1oqm5T3Yfj6EbQHBkkgQQgghhHgJXQ5+zLS/LnDw6gMAPJxt+bh1ebrWKoqFhQycKITI28zWtcHd3R1LS0tCQkIMpoeEhODt7W10GR8fH8qVK2dQZ7hixYoEBwcTHx9vdJmxY8cSERGhf9y5cyf7NiKT/J92b9hyLsjMkQghhBBCiNwUFh3PhN8D8J+7n4NXH2BjZcH7TUuzd0xT3nilmCQRhBD5gtkSCTY2NtSuXZvdu3frp2m1Wnbv3k39+vWNLtOwYUOuXr2KVqvVT7ty5Qo+Pj7Y2NgYXcbW1hYXFxeDh7m9VtETG0sLroVG81/IY3OHI4QQQgghclhCkpalB2/QdNZeVhy9hVYB/yre7B7dhI/bVMBJxkEQQuQjZq0dM3r0aBYvXszy5cu5ePEiQ4YMITo6Wl/FoX///owdO1Y//5AhQwgLC2PEiBFcuXKFzZs3M336dIYOHWquTQBFUR8Z4GJnjV9ZdwC2nAvOiaiEEEIIIUQesffyfdrM2c/Uvy4QGZtIRR8XVg9+lQV9a1OsoIO5wxNCiAwza+qzR48ehIaGMnHiRIKDg6lRowbbtm3TD8B4+/ZtLCye5TqKFSvG9u3bGTVqFNWqVaNIkSKMGDGCTz75xDwbcHwJHP8RWk+H0s0ytGibKt7svnSfrQFBjGhRNocCFEIIIYQQ5nL1fhSfb77AvsuhABRytOHDVuXpUacYltKFQQiRj5m9DdWwYcMYNmyY0ef27duXYlr9+vU5evRoDkdlopAAuH8BzqzJcCKhZSUvrCw0XAp+zPXQKEp5OOVQkEIIIYQQIjdFxCQwZ/cVVhy5RaJWwdpSw8AGvgxvXhYXO2tzhyeEEFlm1q4N+V71XurPi5sgLmNjHbg52FC/dCEAtgZI9wYhhBBCiPwuMUnLiqO3aPrVXn46dJNErUKLip7sGNWEca9XkiSCEOKFIYmErChaBwqWhoQYuPhnhhdvW1Wt3rBNEglCCCGEEPnawf8e8Pq3B5nwewCPYhIo5+XEirfq8uOAOpR0dzR3eEIIka0kkZAVGs2zVglnVmd48VaVvLDQwLl7EdwJi8nm4IQQQgghRE67+SCawT//S98l/3A55DFuDtZM7ViZLR/44VfWw9zhCSFEjpBEQlZV667+vHEAwu9kaNFCTrbUK6l2b5BWCUIIIYQQ+cfj2ARmbLlIy2/+ZueFECwt1HEQ9o1pSv/6vlhZymW2EOLFJUe4rCpQAnz9AAXOrs3w4v5VvQHYEhCUzYEJIYQQQojslqRVWHPsNs2+2sei/ddJSFJoXM6D7SP9mNyhMm4ONuYOUQghcpwkErJD9Z7qzzNrQFEytGjryt5oNHDqdjhBEU9yIDghhBBCCJEd/rn+kA7fHeTTjed4EBVPKXdHlg58heWD6lDG09nc4QkhRK6RREJ2qNQRrOzh4X9w70SGFvVyseOVEgUA6d4ghBBCCJEX3QmL4f2VJ+jxw1HOB0bibGfF+Ncrsm1kY16r4IVGozF3iEIIkaskkZAdbJ2hYnv190wMutimilq9QcpACiGEEELkHdFxiXy1/TLNZ//NlnPBWGigT73i7BvTlLf9SmFjJZfSQoiXkxz9souue8O59ZAYl6FF21RRx0k4fjOM+49jszsyIYQQQgiRAVqtwoYTd2n21T6+23uV+EQtDUoXYvMHfnzRuSqFnGzNHaIQQpiVJBKyS6mm4OwDseFwZXuGFi3iZk/1Ym4oCmw/H5Ij4QkhhBBCiPSduPWIzgsO8+G6M9x/HEfxgg4s6leblW/Xo6KPi7nDE0KIPEESCdnFwvJZKcgzazK8eNunrRK2SfUGIYQQQohcFxTxhBFrTtF1wWHO3AnHydaKT/0rsHN046eDY8s4CEIIoSOJhOxUvZf687/tEP0gQ4v6Px0n4ej1MMKi47M7MiGEEEIIYcST+CTm7LpCs6/28cfpQDQa6PFKMfaMacJ7TUpja2Vp7hCFECLPkURCdvKsCD41QJsIARsytGjxQg5ULuxCklZh5wUZdFEIIYQQIicpisKmM4E0/3ofc3b9R2yCljq+BfhzWCO+7FYNT2c7c4cohBB5liQSspuuVUImqjf4P+3esOWcJBKEEEIIIXJKwL0I3lh4hA9WnyIwIpYibvbM712LX9+tT5UiruYOTwgh8jxJJGS3qt3AwgoCT8H9Sxla1L+q2r3h8LUHRMQk5ER0QgghhBAvrcQkLfN2/0en+Yf499Yj7K0t+bBlOXZ/2ITXq/nIOAhCCGEiSSRkN0d3KNtK/T2DrRJKezhRzsuJhCSFXReleoMQQgghRHa5+SCaNxYd4eudV0jUKrxe1Ye9Y5oyvHlZ7KxlHAQhhMgISSTkhOo91Z9n14I2KUOL6gZd3Bog3RuEEEKY1/z58/H19cXOzo569epx7NixNOefM2cO5cuXx97enmLFijFq1ChiY2P1z0+ePBmNRmPwqFChQk5vhnjJKYrCqn9u4z/3AKduh+NsZ8XcnjX4rndNvF1lHAQhhMgMK3MH8EIq1wbs3OBxENz4G0q/ZvKibav6MHf3f+z/L5THsQk421nnXJxCCCFEKtauXcvo0aNZuHAh9erVY86cObRu3ZrLly/j6emZYv5Vq1bx6aefsnTpUho0aMCVK1cYOHAgGo2G2bNn6+erXLkyu3bt0v9tZSWXIiLn3H8cy6cbzrHn0n0A6pcqxFfdq1PEzd7MkQkhRP4mLRJygpUtVOmq/n5mTYYWLeflRCl3R+ITtfqTnhBCCJHbZs+ezeDBgxk0aBCVKlVi4cKFODg4sHTpUqPzHz58mIYNG9K7d298fX1p1aoVvXr1StGKwcrKCm9vb/3D3d09NzZHvIS2nw+mzZwD7Ll0HxsrC8a/XpGVb9eTJIIQQmQDSSTklBq91Z8X/4S4xyYvptFo8K+qVm/YJt0bhBBCmEF8fDwnTpygRYsW+mkWFha0aNGCI0eOGF2mQYMGnDhxQp84uH79Olu2bKFt27YG8/33338ULlyYUqVK0adPH27fvp1zGyJeSo9jE/ho3RneXXGCsOh4Kvq48OewRrztVwoLCxlMUQghsoO0J8wpRWpDoTLw8Cpc2AQ1+5i8qH8VH+bvvcbey/eJiU/EwUb+TUIIIXLPgwcPSEpKwsvLy2C6l5cXly4Zr0jUu3dvHjx4QKNGjVAUhcTERN577z0+++wz/Tz16tVj2bJllC9fnqCgIKZMmYKfnx8BAQE4OzunWGdcXBxxcXH6vyMjI7NpC8WL6tiNMEb/epq7j56g0cB7TUozskVZbK1kMEUhhMhO0iIhp2g0zwZdzGD1hsqFXShW0J7YBC1/Xw7NgeCEEEKI7LVv3z6mT5/O999/z8mTJ9m4cSObN29m2rRp+nn8/f154403qFatGq1bt2bLli2Eh4fz66+/Gl3njBkzcHV11T+KFSuWW5sj8pn4RC1fbrtEjx+OcPfRE4oWsGftO/X5pE0FSSIIIUQOkERCTqr2NJFw8wCEm950U6PR6Ks3bJHuDUIIIXKZu7s7lpaWhIQYliIOCQnB29vb6DITJkygX79+vP3221StWpXOnTszffp0ZsyYgVarNbqMm5sb5cqV4+rVq0afHzt2LBEREfrHnTt3srZh4oV0OfgxHecfYsG+aygKdH+lKFtH+FG3ZEFzhyaEEC8sSSTkJLdi4Oun/n52bYYW9a+iXqjtuRhCbELGSkgKIYQQWWFjY0Pt2rXZvXu3fppWq2X37t3Ur1/f6DIxMTFYWBheVlhaqneCFUUxukxUVBTXrl3Dx8fH6PO2tra4uLgYPITQ0WoVfjxwnfbfHeRiUCQFHW1Y2Lc2/+tWXapeCSFEDpNEQk6r3kv9eXo1pHIhZXSxom74uNoRHZ/Egf8e5FBwQgghhHGjR49m8eLFLF++nIsXLzJkyBCio6MZNGgQAP3792fs2LH6+du3b8+CBQtYs2YNN27cYOfOnUyYMIH27dvrEwpjxozh77//5ubNmxw+fJjOnTtjaWlJr169zLKNIv+6F/6EPj/+w+ebLxKfqOW1Cp5sG+lHmyrGW8wIIYTIXjKKX06r1AG2jIGwa3D3XyhWx6TFLCw0tKnizU+HbrI1IIiWlbzSX0gIIYTIJj169CA0NJSJEycSHBxMjRo12LZtm34Axtu3bxu0QBg/fjwajYbx48dz7949PDw8aN++PV988YV+nrt379KrVy8ePnyIh4cHjRo14ujRo3h4eOT69on8SVEU/jgdyIQ/Angcm4i9tSUT2lWiV91iaDRSkUEIIXKLRkmtveELKjIyEldXVyIiInKvieTGd9SuDa+8Be1mm7zY8ZthvLHwCM52VpwY3xIbK2lAIoQQLxqznJfyKXmvXm7hMfGM+z2AzWeDAKhRzI1vetSgpLujmSMTQrysXubzknwzzQ267g0BGyAxLu15k6ldvAAezrY8jk3k0DXp3iCEEEKIl9P+K6G0nrOfzWeDsLTQMLplOda/V1+SCEIIYSaSSMgNJRuDc2GIDYcr20xezMJCQ5vKal+/beekeoMQQgghXi5P4pOY9EcA/ZceIyQyjlIejmwc0oAPmpfFylIuY4UQwlzkCJwbLCyhWnf19zNrMrSornrDjgvBJCYZL58lhBBCCPGiOXs3nHbzDrD8yC0ABtQvwebhflQv5mbewIQQQkgiIdfoujf8twOiTe+mULdkQQo62vAoJoF/boTlUHBCCCGEEHlDYpKWebv/o8v3h7kWGo2nsy3L36zLlI5VsLexNHd4QgghkERC7vGsAIVrgjYRzq03eTErSwtaPa3YsOVcUE5FJ4QQQghhdjcfRPPGoiN8vfMKiVqF16v6sH1kY5qUk8oeQgiRl0giITfpWiWcWZWhxfyr+gCw/XwISdqXqsiGEEIIIV4CiqKw6p/b+M89wKnb4TjbWTGnRw2+612TAo425g5PCCHEcySRkJuqdAMLKwg6AyEXTF6sfqlCuNhZ8SAqjn9vSvcGIYQQQrw47j+O5a3l//LZb+d4kpDEq6UKsm1kYzrVLIJGozF3eEIIIYyQREJuciwEZVurv581fdBFGysLWlZSB13cGiDVG4QQQgjxYth+Ppg2cw6w59J9bCwtGP96RVa9/SpF3OzNHZoQQog0SCIht9V42r3h7K+gTTJ5sbZVn5aBDAhGK90bhBBCCJGPPY5N4KN1Z3h3xQnCouOp4O3MpuENeduvFBYW0gpBCCHyOkkk5LayrcC+ADwOguv7TF6sUVl3nGytCI6M5dSd8BwLTwghhBAiJx27EYb/3AOsO3EXjQbebVKKP4Y1pIK3i7lDE0IIYSJJJOQ2K1uo0lX9/Yzp3RtsrSxpXtETgG0BUr1BCCGEEPlLfKKWL7ddoscPR7j76AlF3OxZM/hVxvpXxNZKyjoKIUR+IokEc6jeW/158U+IjTR5Mf8qaveGLeeCURTp3iCEEEKI/OFKyGM6zT/Egn3XUBToVrso20b6Ua9UIXOHJoQQIhMkkWAORWpBobKQ+AQubjJ5sSblPLG3tuRe+BMC7pmegBBCCCGEMAetVuHHA9dpN+8gF4IiKeBgzcK+tfjqjeo421mbOzwhhBCZJIkEc9BooHpP9ffTq01ezN7GkmYVPADYIt0bhBBCCJGHBYY/oe+Sf/h880XiE7U0K+/B9lGNaVPFx9yhCSGEyCJJJJhLtR6ABm4dhEe3TF7M/+nJd+u5IOneIIQQQog8R1EU/jh9j9Zz9nP42kPsrS35onMVlg6sg6eznbnDE0IIkQ0kkWAubsWgpJ/6+9lfTV6sWQVPbKwsuPkwhkvBj3MoOCGEEEKIjAuPiWf46lOMWHOax7GJVC/mxuYPGtGnXgk0GinrKIQQLwpJJJiTbtDFM6vBxNYFTrZWNCmndm/YGhCcU5EJIYQQQmTI1ftRtJ6zn7/OBmFpoWFUi3JseK8+pTyczB2aEEKIbCaJBHOq2B6sHSDsGtw9bvJiuuoNW8/JOAlCCCGEyBu+3f0fIZFxlHJ3ZOOQBoxoURYrS7nUFEKIF5Ec3c3J1gkqdlB/P2P6oIvNK3phbanhv/tRXL0v3RuEEEIIYV4RTxLYfl5tKTmnZw2qF3Mzb0BCCCFylCQSzK1GL/VnwAZIiDVpEVd7axqVcQdg6znp3iCEEEII89p8Noi4RC3lvJyoWsTV3OEIIYTIYZJIMDdfP3ApArERcGWbyYvpqjdskXEShBBCCGFmG07eBaBb7aIyqKIQQrwEJJFgbhaWUK27+nsGuje0rOSFpYWGi0GR3HwQnUPBCSGEEEKk7XpoFCduPcLSQkOnGkXMHY4QQohcIImEvKD60+4N/+2EqFCTFingaEP9UoUAqd4ghBBCCPPRtUZoUs4DTxc7M0cjhBAiN0giIS/wKA+Fa4GSBAHrTV7Mv6pavWFbgFRvEEKIXHXjAITfNncUQphdklZh48l7gNqtQQghxMtBEgl5RY3e6s/Tq0xepFUlbzQaOHM3gruPYnIoMCGEEAZCL8Oa3vBDMwi9Yu5ohDCrw9ceEBQRi6u9Nc0repo7HCGEELlEEgl5ReUuYGENwWch5LxJi3g421LXtyAA26R7gxBC5LyYMFjVA+Ii1dZkBXzNHZEQZrX+hNqtoUP1wthaWZo5GiGEELlFEgl5hWMhKNda/f3MGpMX86+idm+QcRKEECKHJSXAuoHw6Aa4FYfuP4OVjbmjEsJsImMT9DcypFuDEEK8XCSRkJfoBl08+yskJZq0SJunZSBP3HpEcERsTkUmhBBi+zi48TdYO0LP1eDobu6IhDCrzWeDiEvUUtbTiWpFXc0djhBCiFwkiYS8pGwrsC8AUcFwY59Ji3i72lG7RAEAtp+XVglCCJEjTiyDY4vU37ssAu8qZg1HiLxgw9NuDd1qF0Wj0Zg5GiGEELlJEgl5iZUNVOmm/n56tcmL6bo3bDkn1RuEECLb3TwEmz9Uf282Hiq2N288QuQBNx5E8++tR1hooHPNIuYORwghRC6TREJeU+Np94ZLf0FspEmLtHmaSDh+M4zQx3E5FZkQQrx8Ht2CX/uBNlEdFLfxGHNHJESeoGuN0KScB54udmaORgghRG6TREJeU7gWuJeDxFi48IdJixQt4EC1oq5oFdhxQbo3CCFEtoh7DKt7QcxD8KkOHeeDNN8WgiStwoaTum4NxcwcjRBCCHOQREJeo9E8G3TxTEa6N6iDLkoZSCGEyAZaLfz2Htw/D46e0HMV2DiYOyoh8oQj1x4SFBGLq701zSt6mjsckVfEx0BwACiKuSMRQuQCSSTkRdW6Axq4dQge3TRpEd04CYevPeRRdHzOxSaEEC+DfdPVLmaWNmoSwVVK2wmhs/7EHQA6VC+MnbWlmaMRZvfoJuwYD7MrwsKGsKKzydevQoj8SxIJeZFrUSjZWP397K8mLeLr7khFHxeStAo7L4bkYHBCCPGCC9gA+2epv7f/ForVMW88QuQhkbEJbHtaJaprbUmwvbQUBa7tgVU9YW4NODwPYsPV567vhe/rw5H5oE0yZ5RCiBwkiYS8qkZv9eeZ1SY3EdO1Stgq1RuEECJzAk/B7++rvzcY/mwAXCEEAFvOBhGboKWMpxPVi7qaOxyR22Ij4Z9F8F0dteXBla2AAqVfg15rYehxKNEIEmJg+2fwYwu1u4MQ4oUjiYS8qkI7sHaEsOtw55hJi7StqiYSDl59QGRsQk5GJ4QQL57HwbC6tzrYbZmW0GKKuSMSIs9Zf0I3yGJRNDL46Msj9ApsHqN2X9j6MTz8D2ycoe67MOxf6PcblG8DHuVgwJ/Qfi7YukLgSfihCeyeBgmx5t4KIUQ2kkRCXmXrBJU6qL+fWWXSImU8nSnr6URCksJu6d4ghBCmS4iFNX3gcaBaOafbErCQvt9CJHfzQTT/3nqEhQY61yxi7nBETtMmwaUt8HNHmF8Hji+G+Cj1GNn2K/jwIrT9H7iXNVzOwgJqD4Sh/6g3xrSJcOArWNgIbh02y6YIIbKfJBLyMl31hoDfTM7i6ro3bDkn1RuEEMIkigJ/jYR7/4KdG/RaA3bSZFuI5+lKPjYu54GXi52ZoxE5JiYMDs2Fb2vAml5wfR9oLKD869D/Dxh6DOoOBlvntNfj4gM9V0L3FeDkpbZi+Mkf/hqtdpEQQuRrkkjIy3z9wKUoxEU87YOWPv+qahnIv6+EEhWXmJPRCSHEi+HwPHU8Go0lvLEMCpU2d0RC5DlarcKGZN0axAso6Cz8MVTtvrBzIoTfBvsC0HAEfHAaeq2CUk3VUuUZUamD2jqhVn/173+XwPx6cNm0a1shRN4kiYS8zMICqvdQfz+92qRFKng741vIgfhELXsv3c/B4IQQ4gVwZYd6wQzQZgaUbmbeeITIo45cf0hgRCwudla0qOhl7nBEdklKUCvVLGkNi/zg1C/qODHeVaHDdzD6IrScCgVKZO117AtAh3nQfxMUKKl2I1vdE9YNhCi5XhUiP5JEQl5Xraf68+oukw60Go1G3yphW4B0bxBCiFSFXoYNbwGKeqes7jvmjkiIPEs3yGKHGoWxs5bxQ/K9xyGw70v4pgqsfxPuHAULK6jSFd7cAe8egFr9wNo+e1+3VBMYclht5aCxhPO/qRUgTq00uUqZECJvkERCXudRDorUBiUJzq03aRHdOAl7Lt3nSbzU7xVCiBRiwtS7YXGRULwBtP064811hXhJPI5NYGuAWlq6W+1iZo5GZJqiqJXANrwN31SGfdMhKlgdv6DJpzDqPHRbCsXr5ezx0MZBbeUweI/a8iE2HP54H1Z0grAbOfe6QohsJYmE/EA36KKJ1RuqFnGliJs9TxKS+PtKaA4GJoQQ+VBSIqwfpJbXdS0OPVaAlY25oxIiz9pyLojYBC2lPRypXlQGIs13EmLVO/4/NIElLeHcOtAmQLF60HUJjAyAZmPB2Tt34ypcAwbvVUvtWtmpgzouaACHv1OP00KIPE0SCflBla5gYQ3B5yA4IN3ZNRqNvlWC7g6CEEKIp7Z/pl6wWjtCr9Xg6G7uiITI09brB1kshkZa7uQf4Xdg12R18MQ/3oegM2BpCzX6wjt/w1s7oGo38yZSLa2h0Ui1u4OvHyTEwI5xsKSFSde8QgjzkURCfuBQEMq1Vn8/Y9qgi7pxEnZfvE9conRvEEIIAE4sg2OL1N+7LALvKmYNR4i87uaDaI7ffISFBjrXLGLucER6FAWu/w1r+sDcanDwG3gSBq7FoMVkdfDETvPV1gB5SaHSMOBPaP8t2LpC4Cm1BcXuqSaXQBdC5C5JJOQXNXqrP8+tM6m5V81ibni52BIVl8jB/x7kcHBCCJEP3DwEmz9Uf282Diq2N288QuQDG0+qrRH8ynrg7Wpn5miyUWIchFxQB7LWvgA3XOKi4PiP8P2r8HMHuPQXKFoo2QR6rIQRZ6DRKHAsZO5IU6fRQO0BMOyYenzWJsKBr2FhQ/X4LYTIU6zMHYAwUZmWYF8QokLUJrllW6Q5u4WFBv8qPiw7fJMt54JpLqWahBAvs0e34Nd+6oVp5c7Q+CNzRyREnqfVKmw4eQ+AbrWLmjmabBR4Ctb0hUg1SYLGEhw9wMlTHXjQySvZ709/Onurv9s45a2BWR9eg2OL4fRKdfBYULtt1egFdQaDZwXzxpcZzt7Q4xe4sAm2jIGHV2FZW3jlTbVVhZ2M0yFEXiCJhPzCygaqvqE2yT2zKt1EAqjVG5YdvsnOC8HEJ1bFxkoaoAghXkJxUbCmN8Q8BJ/q0PH7vPVFQIg86uj1h9wLf4KznRUtK70gNyTOroNNwyAxFqzs1Z9Kklq9IMqEstnWDimTDPrfvZ9Nc/TIubEHtFq4uhOO/aCWB9cpWFotY1uj14vxZbtSByjZGHZOhJPL4d+lcHkrvP41VHjd3NHljoRYuH8B3IrLeD4iz5FEQn5SvaeaSLi0GWIj0j1JvOJbEHcnGx5ExXPk+kOalPPIpUCFECKP0Grht3chJAAcPaHnKrX0mBAiXbpBFjtUL4ydtaWZo8kibRLsngKH5qp/l20NXRerd+9jHqgtPqPuqz8fBz/7PfnP+MfqYICPbqqP9NgXTNm6wdk7ZRLCvoBpyc0nj9TqC8cXJ3t9jTqOVt3BUOo1sHjBbhrZu0GHb9VBIf8coVbbWdMbKnUC//+B8wuS4NLRaiH4rNr6+Po+uH1ETXYBFCgJRes8fbyils60tDZntOIlJ4mE/KRwTXAvDw8uw4U/oFb/NGe3tNDQurI3K/+5zbaAoPyRSFAU9YLfvRxY2Zo7GiFEfrdvutpX2NIGeq4E1xeoebYQOehxbAJbnlZ+yvfdGp6Ew4a31bv4AI1Gw2vjweJpcsTZ27TSh/HRTxML95+2YNAlGUJSJh60ieogh0/CIPRi2uu1sH6aWEjewiFZssHWSb3uO/urmsgA9WZSzX5Q5y0oWCrTb02+UbKxWtlh30w4PA8u/K5+0W79BdTok79bmT26Bdf3Pk0e/K1+ZpKzc4PYcHh0Q32c+1WdbmUHPjXUpELROlCsLrgUzt3YxUtNEgn5iUajNlfbNRlOr043kQDgX8WHlf/cZvv5EKZ11GJlmYcz1YlxsOkDOLsGSr8GfTfm7xODEMK8AjbA/lnq7+3nqhdZQgiTbD0XTGyCllIejtQo5mbucDIv9Aqs6aX2s7eyh47fqXe3M8PGEQqWVB9p0WrVL36Pg59LMhhJODwJA20CRN5TH+nxrAz13lG7u9o4Zm478itre2g5Bap0gU3D1XKWfwxVEyzt56b/f8krYsLg5gE1cXBtr5ocSM7GSS2FWaqp+vAor7ZEvncC7v4Ld4+rj9hwuHNUfei4FHmWWChaR+3OZ22fe9uWnyiKfM/IojyRSJg/fz6zZs0iODiY6tWrM2/ePOrWNX7Bt2zZMgYNGmQwzdbWltjYl6Q0TNXusGsK3D4MYTfSPWjWK1WQAg7WhEXHc+xmGA1K59H+VdEPYW0ftQkXwLU96l1EGVVdCJEZgafh96Hq7/WHPat8I4Qwia5bQ7faRdHk14vtK9vVlghxkeBSVG2VlBtlDy0s1NLdDgXBq1La8ybGQ7SRbhTJEw/RD9Rm7HXfgRIN5MuPT3V4ew8c+Q72zYAbf8P39eG1cVBvCFjmia83zyTGwe2jz7orBJ4ClGfPayzVL/2lmkLpZlCkdsouC/ZuUKa5+gD1S/DDa8+SCnePQ8h5NRl14Z7aggXAwkr97CTvElGg5MvzGUqMU1t8hF1XH49uPPvdyQve3GbuCPM1s+9pa9euZfTo0SxcuJB69eoxZ84cWrduzeXLl/H09DS6jIuLC5cvX9b/nW9PcJnhWgRKNVEPRGfXQtNP05zd2tKClpW8+PXfu2w9F5w3EwmhV2BVd3XntnWFkn5qEmHHeCjbSro4CCEy5nGI2oc28QmUaQEtp5o7IiHylVsPozl2MwwLDXSpmQ+7NSgKHPwGdk8FFCjeALr/DE55sIunlY3a5Uq6XWWMpRU0GqnecPpzhHqHf8d4OLceOswDn2rmi02rVbvpXt+ndlm4dUQ9HyXnUeFZi4MSDcHOJWOvodGAexn1UaOXOi0+Wk2iJ08uRIWoiYvAU+rgnAAOhZ4lFYrWgcK1Mv76eUl8jGGCIOy6erM17AZE3MEgaZPck/DcjPKFZPZEwuzZsxk8eLC+lcHChQvZvHkzS5cu5dNPjX9J1mg0eHub0JftRVW9t3pwOrMamnySblbRv6oPv/57l23ng5ncoTKWFnko8XJ9H/zaX22y5VYC+qxTm2XNq60OJHT0e7XusRBCmCIhVm3dFHkPCpWFrkue9YMWQphEV/KxUVkPvF3tzBxNBsXHqFUZAjaof9cepA7Kl1MVFIR5FSoNA/6EUytg+3gIOg0/NIWGI6DJx7nXrD/89rMWB9f/VgfwTM7J62nioJl6QzAnxjKwcQTfhuoD1IRaxN2nSYWnXSKCTqsVjK5sUx8AaMCzomGXCPfyeWvgztiIp8mBZIkCXfLgcVDay9o4Pe2SVMrwUSCfdIXJw8yaSIiPj+fEiROMHTtWP83CwoIWLVpw5MiRVJeLioqiRIkSaLVaatWqxfTp06lcubLReePi4oiLi9P/HRkZmX0bYC4V28FmJ/WL9p1/oPirac7esLQ7LnZWhD6O45/rD2lQJo+0SjixDDZ/qA5IVOxVtcmhrrRNi8nw+3uw/yuo3su0QZCEEC83RYG/RqkXS3au0Hut2hxUCGEyrVZhQ7JuDflK+B21NVLwWbVJt///1MEIxYtNo1HHDSvbCrZ8BBc3wcHZavP+Dt+Cb6Psf80n4WoriGtPB0kMu2b4vLWj+rq67goeFXK/O4FGA27F1EeVLuq0xDgIDjBstRB+Sy0xef8CnPxZnc/WBYrUepZYKPIKOBbKuVgVRa1KYtCq4Pqz5MHziZnn2bmlTBToHo7uL09Xjlxm1kTCgwcPSEpKwsvLsHSLl5cXly5dMrpM+fLlWbp0KdWqVSMiIoKvvvqKBg0acP78eYoWTXnCmzFjBlOmTMmR+M3GxhEqdYTTK+H0qnQTCTZWFrSrXphV/9xm/cm75k8kaJNg1yR11F1Qx33oMA+sk931qNZDLW907wTsngad5psnViFE/nHkOzizSu1v+sYy9U6VECJDjt54yL3wJzjbWdGqUj4qrXfrMKztp37hcHBXuzLo7syKl4OzN/RYARf/hM1j1C/3y16H2gPVLm7plE1PU2Ic3Dn2rLtC4ClQtM+e11iqYxuUbqYmD4q8kjdbwVjZQtHa6oP31GlR9w0Hcbx3Uh1XRNfCQqdgKcOxFryqZKz8pKKor/V8skDXsiA2Iu3lHT2MJApKqi0LHApm8I0Q2UGjKEoqHUdyXmBgIEWKFOHw4cPUr19fP/3jjz/m77//5p9//kl3HQkJCVSsWJFevXoxbdq0FM8ba5FQrFgxIiIicHHJx/2BbuyH5e3VMQXGXE636daJW2F0XXAEBxtLjo9rgaOtmXJI8dGwYTBc3qz+3fQztemZsUzhneOwpAWggXf2quUvhRAZc/uo2sS3gK9aIutFvUP/3051rBVFC22+hFffM3dEJouMjMTV1TX/n5dygbxXOW/0r6fZePIevesVZ3rnquYOxzT/LlXvRGsT1YHleq4Ct+LmjkqY05Nw9abViWXq307e8PrXaqteU2i16h16XVnGW4efld7UcS/3rLuCb8OsJSrykqREtWRp8i4RD66knM/KTr02T94lwskbHgem0rLgBiREp/3azoWfJQieTxjYOufM9mbRy3xeMmuLBHd3dywtLQkJCTGYHhISYvIYCNbW1tSsWZOrV68afd7W1hZb2xdwsL4SjcC1mDqIyOWtz5ospaJW8QL4FnLg5sMYtp8PpkstMzRXjAyEVT3UJoeWttDp+7RLMBWro7ZWOPcrbP1UHVlVmiYJkT5tElzarLb6uXvs2fQ9n0P1nlD3XfCsYL74slvoZVj/pppEqNUf6r1r7oiEyJei4hLZei4YyCfdGhLjYdsnaiIBoHIX6DgfbBzMG5cwP3s3tSRk1TfU0uJh19Txcyp1BP9Z4GyktU3E3WclGW/8DdGhhs87ej4bILFUU3UA9BeR5dNKD95V4ZU31WlPHhkpPxmhVlu7naw7uoWVmtBLjcZCHVjUWBcEtxKy7+YzZk0k2NjYULt2bXbv3k2nTp0A0Gq17N69m2HDhpm0jqSkJM6dO0fbtm1zMNI8yMJCbf5/4Ct10MV0EgkajYYutYoye+cVNpy8m/uJhMDTsLqnOiCKgzv0Wm1aTfcWk9UKDnee3lXNbO1nIV4GCU/ULk9H5qt3AAAsbaByZ7VP5P3z6gX3v0vVi6C670K51vl7MMKYMPXYEhcJxetD268l4ZiNMlKeGWDOnDksWLCA27dv4+7uTrdu3ZgxYwZ2dnaZXqfIPVvOBfEkIYlSHo7ULOZm7nDSFhWqDtZ8+zCggeYToNFo2f+FId9GMOQQ/P0lHPpWHTfh+j5o9YVa8eHmwWfdFR4+d1PS2kGtqKAb58Cz0sv7+bIvoFZBKtNC/VurVZMzz5ef1CaqyQS3EqkkC4rnzS4fIlPMXrVh9OjRDBgwgFdeeYW6desyZ84coqOj9VUc+vfvT5EiRZgxYwYAU6dO5dVXX6VMmTKEh4cza9Ysbt26xdtvv23OzTCP6j3VRMLV3Wq5M2PZ1WQ61yzC7J1XOHztIYHhTyjslksj2V7arNZxTohRB5vpvVZtZm0K1yJq1Ya9X8DOSVC+rWQrhXhe9AM4tlgdVyTmoTrNzg3qvK3WHXf2Uvsm3jwIxxap+6Su76NbCXWemn3zX7eHpERYP0hNmrgWg+4r5AIlG2W0PPOqVav49NNPWbp0KQ0aNODKlSsMHDgQjUbD7NmzM7VOkbvWPx1ksWutonm7tHbQGVjTR22VaeMMXX+E8m3MHZXIq6zt1RtTlbuoFT2Czqg/Nz1301JjoY5zoGtxULSunFNSY2EB7mXVR43e6rS4KHgSpnZPsDT7V0yRC8z+X+7RowehoaFMnDiR4OBgatSowbZt2/QDMN6+fRuLZOVHHj16xODBgwkODqZAgQLUrl2bw4cPU6lSJXNtgvm4l1UHc7n3L5xbBw3SbsVRrKADdUsW5NiNMH4/fY/3m5bJ2fgURW1avXMioEDp19QB0DLah6zBcHUU2Yg76vqafpIT0QqR/zy8pg4weHoVJMaq09yKQ/1h6ngItk7P5tVooKSf+gi/Dcd/hBPL1dGad4xTk3X5rdvDjnFqMsTaUW3llBdrxOdjGS3PfPjwYRo2bEjv3upFpa+vL7169TIY7ygzJZ9F7rj1MJpjN8LQaKBLrTzcZDtgA/w+FBKfQMHS6r7vUd7cUYn8wKcavL1HLS2+d7r6GSpUJtk4B43yX0I9L7F1MrzuEC88sw62aA4v3IAYx39USyh6VYUhB9Od/dfjd/h4w1lKeziya3STnLvjkJQAm0c/KyNT5211ALTMZigDNqp3Hq3sYfi/av8qIV5Wd47B4W/h4l/A00N44ZrQ4AOo2MH0/Sw+Rk1C/rNI7fagkx+6PZxYDn9+oP7efQVU6mDeeLIgL56X4uPjcXBwYP369fquhwADBgwgPDycP/74I8Uyq1at4v3332fHjh3UrVuX69ev8/rrr9OvXz8+++yzTK3zeXnxvXpRzN55hW93/4dfWXdWvFXP3OGkpE1Sx3k5qLZuoUwL6LpEvviJzImNUAcAdyls7khEPvcyn5cs0p9F5GmVu6h9oEPOQfC5dGf3r+qNrZUF10KjOXs3nTIrmfXkEfzSVU0iaCzUBELbr7LWzKlyZyjeQM0e75qcbaEKkW9otWriYElrWNJSLW+FAmVbw4C/YPBedayUjOxnNg5Qe4Daf3TAX2p/UY2Fepd/TS/4tiYc/k4d/TovuXVYTaCCWvklHycR8qq0yjMHBwcbXaZ3795MnTqVRo0aYW1tTenSpWnatCmfffZZptcZFxdHZGSkwUNkP61WYeNJtVtDnhxkMTYCVvd6lkRo8AH0/lWSCCLz7FwliSBEFkkiIb9zKAjlnvYLPLMm3dmd7axpXVmtiKG7aMhWYdfhx5bqaLc2TtBrjVqGLastHzQaaDMD0Kh3UG+nXxpUiBdCwhP49yeYX0cdcfrOUTV5WLMvvH8U+vyqdlfIyj6m6/bQ4xcYcQYajlAHVtJ1e5hdEf4aBfcvZd92ZdajW7C2L2gToFIntXysyBP27dvH9OnT+f777zl58iQbN25k8+bNRkszm2rGjBm4urrqH8WKFcvGiIXOPzfCuPvoCc62VvprhDzjwVVY3Bz+266Wm+uyGFpNy7utpYQQ4iUhiYQXQfVe6s+zv6qDj6Wj69O7DZvOBBKfqM2+OG4dVk/2D/8Dl6Lw5na1aXR2KVxD/fIEarknbTbGLkReExMGf/8PvqkCf41UR5O2c1VHJR95Ti1x5lkx+1/XrTi0nAqjLkD7b8GzsjpQ6r9L4ft6sLwDXNqiNjPObXFRsKa3OqCkdzXotODlHUE7h2WmPPOECRPo168fb7/9NlWrVqVz585Mnz6dGTNmoNVqM7XOsWPHEhERoX/cuXMnezZQGNANstiuemHsrPPQF/T/dsHi155eVxSBQVuhWndzRyWEEAJJJLwYyrQAh0IQfV8tX5OOhqUL4elsy6OYBPZevp89MZxZAz93VEdrLVwLBu8G7yrZs+7kmk9UR2gOPAVn02+BIUS+E3YDNo+B2ZXUARBjHoBrcWgzE0adhxaTwDkX7him1u3hxt/Juj3MU7sy5QatFn57F0ICwNFDHWBNKrjkmOTlmXV05Znr169vdJmYmBiDwZEBLC3VL6WKomRqnba2tri4uBg8RPaKjktka0AQkIe6NSgKHJoLq96AuAgoVk/tvlWklrkjE0II8ZQkEl4EVjZQ9Q3199Or0p/d0oJONdURmbPcvUGrhd3T1Av8pHio1BEGbs65LzpOntB4jPr7rikQ9zhnXkeI3Hb3hFoTfV4ttYxj4hP1rnvXJfDBKXh1CNg6535caXZ7GK8mPHKj28O+GXDpL7VbR4+VMuBqLhg9ejSLFy9m+fLlXLx4kSFDhqQozzx27Fj9/O3bt2fBggWsWbOGGzdusHPnTiZMmED79u31CYX01ily35ZzQcTEJ1HK3ZFaxd3MHY7anWvjYLXik6KFWv1hwJ/plrgWQgiRu8xe/lFkk+o94Z+Fan34J+HpDkDUtVZRfth/nT2X7vMoOp4Cjpmok5vwBH4fAud/U/9uNBpem6DWls1Jrw6BE8vg0Q04MFu9QytEfqTVqv1+D30Ltw8/m16mpVr2tGTjvNV0X9ftocmnhtUe/l2qPko2gXrvZX+1h4CNsP9/6u/t5kDxPDii/Asoo+WZx48fj0ajYfz48dy7dw8PDw/at2/PF198YfI6Re7TdWvoWrtozlVyMlXEXVjTB4JOg8YS/L9Uqz6ZOy4hhBApSPnHF4WiwPevQuglaD8Xag9Md5HXv/1/e/cdHlWZvnH8OzPpIQkkIZXee6iGpqKgoIhSLLgoiG1FXHHRXcWCa8Wyoj8rwqJiW1Ca2FCMKNKRUKUTIARIAglJSCBtZn5/nCSapZgyyUkm9+e65srk5JyTO9mVd/LM+z7vL/x2NIunr+vI2D7Nyvf9slONDspHfgWrp/E9u42pUPQK2fW1sVba5g33rYcGzarve4tUVkEubJ0Ha96EE3uMY1ZPY2ZR379BeAdz85WV0wmHVv1exHQW9S2p3xQuusvoaeLboHLf4+hmeG+IMUOjz30w+Lk/vaS2cdtxqQrod+VaiWmnueTl5VgssPqRy4kM8jUxzFqjkWrOcfANhhs/NGZDiYjUYHV5XNLSBndhsfzedLEMuzcAjOxuTA1eEH+kfN8r5Tej+dGRX40/EsYurt4iAkDbq413P+158P0T1fu9RSrqdDqseBle6wxf3m8UEbwDjeUCD2yFEe/UniICGP/uNOv/h2UPD7h22cOpFKNgWHjG6AVzxdMujS9S1y0oWt7Yv1WouUWEjR/AB9cYRYTwTnD3TyoiiIjUcCokuJMuNxrN0BLXGNsw/onrukZhs1rYcjiDfanZZfsee5cZ+9hnHobglnBnnPGHRHUr3g7SYoWdS+DAL9WfQaSsTh6Eb/4Jr3aEH581GqMGNoIrnzMaKF7xdO3fz7p+E7jiKdft9lCYZ7w7mXUEQlobvSK03ZuIyzgczpJCgmlNFu0FRnPZLycVbel6HdzxPTRoak4eEREpMxUS3ElgFLQYYDzfMu9PTw+t582ANg2BMjZdXDcTPr0R8k9Bs4vhzh8gpGUlAldSeEfoebvxfOkUc7ajE7mQI/Hw+Xhjh4P17xp/WId3NvZBn7QZ+t4HPm42De6Puz3c9nXFdntwOuHLByBpvbHl5c1z/7Tvi4iUz/qD6SSdPEOAtwdXdqiGnWD+V84J+GiE0VwW4LLH4YY54OVf/VlERKTcVEhwNyXLG/5rvBj/E8XLGxZtOoLDcZ7z7YXwzT/g238Ya6C73QK3LAS/YFelrrgBjxp/aKRsg/gPzU4jYjRQ3POdMU131mXw20Ljv5uWl8Oti+GeX4zZQzZPs5NWrbIse/jyAUjdefa1a96ELZ8aBYjr34fQVtWdXsTtFTdZvCYmEl+vap7tk7wNZl4GB38Br3ow+lO49B9qqigiUouokOBu2g01BuWMQ0bjoj8xsH0YgT4eHMvMZU1C2tkn5GbBf0fD+pnG54P+Bde+aWw5WRP4h8CAou3HfnzG2LFCxAyFeRD/EbzTx5i5c/AXsHpAl9Fwzyq4dRG0vKxuvlD+32UP4Z2M2Rkb3zeaxP5x2cPeZca2bwCDn4dWA83NLuKGcvIK+WbbMcCEZQ2/LYLZV0JmIjRobsxubDe0ejOIiEilaftHd+PlDx2Gw+aPjXf0mva54Ok+njauiYni03WJLIhPol+r0N+/mJEIn94EqTvAwxdGzoQO11Zt/orodaexDvvEHqORnRt2dZca7MxJ4/9/696F7BTjmFcA9LzN2AoxyKS1xzVR8bKH7mNL7/Zw4GfjUb+p8ft0OqDbrcbvT0Rc7tvtyZzOt9M81J/uTSq5s0pZORzw0/PGOA3Q4jK4/r2aMbtRRETKTTMS3FHMaOPjb4uh4Myfnj6qezQAS7cnk5NXaBxM+hVmDTSKCPUiYPw3NbOIAMYU8cHTjOfrZsCJfebmkbohI9HozTG9I8Q9bRQRAqLgimdg8m9w5bMqIpzPhZY95GVB494w9JW6OXtDpBrM33gYMGYjWKrjv7PcLGMHluIiQp/7YMx8FRFERGoxzUhwR037QVATY9rgrq+h8/UXPL17kwY0C/HjYNpplm5PZpT3elg8AQpzjcZwf5kHQdHVFL6CWg+C1lfC3u/h+8eMzCJVIelXYw3/jiXgLGrwGdYR+t0PHUfWnGU/tUXxsodLH4Ztnxs9Ey55CDy8zU4m4pYOp59mbUI6FguM6FYNY3vafqOIcHwX2Lxh2P9B15ur/vuKiEiVUiHBHVmtEHOTUfnfMvdPCwkWi4WR3Rsxfdlu7D+/BFlzjC+0GWJsueZdrxpCu8Dg52H/j7BnKez7wdh3XsQV7IWw6ytY+zYcXvf78RYDoO/foOVAvXteWcXLHkSkShVv+divZShR9X2r9pvti4P54yE3EwIi4aZPoFGPqv2eIiJSLbS0wV11KVresD8OTqX86ekjOofyiucMbiwuIvSeaHRRri1FBIDQ1nDRX43nSx819qcWqYzcLFjzNrzRDT4fZxQRbF7Q9RajgeLYL4yClYoIUgM0a9aMp59+msTERLOjSA3lcDhLCglV2mTR6YTVb8In1xtFhEa94O6fVEQQEXEjKiS4q9BW0Ogio2nZts8ufG5OGo2/+gujbL9Q6LTyU+tHYcjzYK3m7aBc4dJ/gl8InNhtNMATqYiMRPjuMXi1I3w3xfjcNxgu+Sc8sB2GvwURncxOKVLKAw88wMKFC2nRogVXXHEFc+fOJS8vz+xYUoNsOJjO4fQz1PP2YHDHiKr5JgVnYNE9xjJDp8MovN72NQRU0fcTERFTqJDgzoqbLm6Ze/5zju+B/wyExNXkewRwW8HDPJMci9PprJ6MruZbHy5/3Hi+/Hk4nW5qHKllkn6Fz2+D/+tq9EHIy4LQNsaa3sk74PLHICDc7JQi5/TAAw+wefNm1q9fT/v27fnb3/5GZGQk9913H/Hx8WbHkxpg/kZjNsI1XSLx9arEmwX2Qsg+Dqm74OAqo2fMr+8bSyrfGwJb54LFBkNehOveVM8TERE3ZHHW2r8YKyYrK4ugoCAyMzMJDAw0O07VOp0Or7QFez7csxIiOpf+esLP8NmtxrTD+k3Juf5Terx7mNwCB19M7EdM4/qmxK40hx3evQRStkOvu2Dov81OJDWZw270P1jz1tn9D/rcZ/Q/sKrmKlWnqsalgoIC3n77bR5++GEKCgro3Lkz999/P+PHj6+eTv1VoE6N4S6Wk1dIr+d+4HS+nfn39KFns6IdE5xO43XA6TTjdcPptD88Tpz7+JkM4AIvH30bwA0fGP+Oioi4sbo8LqnZojvzC4a2V8GOL2Dzf2HIHwoJG+fA15PBUQiNY2H0p/j7hzK4YwFfbD7Kgvik2ltIsNpgyDSYM8xY3tDzdgjvYHYqqWlys2DTx8aWoRmHjGM2L+h8A/S+V0sXpNYqKChg0aJFvP/++yxbtozevXtzxx13kJSUxKOPPsoPP/zAp59+anZMqSoFZyDnxB/+8DeKAIn7D/CoYy+N/M/Q46e3SxcHHIUV+14+9Y3lhMUP/xBjy+juY6FBU5f+WCIiUrOokODuYm42CgnbPoMrnjaawv3wJKx+w/h65xvg2jfB0weAkd0b8cXmoyzZcpTHh3bAy6OWvhPb/BJoPwx2fmmscb91sRriiSEjEda9C/EfGksXwOh/0OtO46GlC1JLxcfH8/777/Pf//4Xq9XK2LFjefXVV2nXrl3JOSNGjKBXr14mppQKyUmD1B1nFQfOOWug4PQ5b9EeaO8B2IGD5zjB07+oIBBcVBQILf15yaPouG8DsOllpIhIXaURwN21GmQM+jnHYecS2DYfdn9tfG3Ao0Zzwj/8gd2/VShhAd6knspj+e7UqmvGVB2ueAb2fAcJP8Hub6Hd1WYnEjMl/Wr0PdixBJx241hoG2P2Qcxo8KzibdBEqlivXr244ooreOeddxg+fDienp5nndO8eXNGjx5tQjqpsDMnjZ1jcjPLfo3V8w9/+Adz2rMB83ee4SQBjBvUnfohkUUFgj8UC/RvoIiIlIMKCe7O5mnMOlj3Diy4w+igbPOG4W9D5+vPPt1qYUS3aN5dkcCCjUm1u5AQ3Bz6TISVrxrdo1sNVMOnukb9D6QOSUhIoGnTC08n9/f35/3336+mROISu74xigheARDe8fclBH4XeHgHlHqTYNYPe3l12x76tQph0oDeJv4wIiLiLlRIqAtiRhuFBKfDePdh9KfQJPa8p4/s3oh3VySwfHcq6Tn5BPt7VWNYF7v4Qdj8KaQnGGvh+00yO5FUB/U/kDooNTWV5ORkYmNL//u+bt06bDYbPXv2NCmZVMrOJcbHfvcbswjLyeFwMj/+MADX92jkymQiIlKH6a24uiAyBjrfCI17w11xFywiALSNCKBjVCAFdidfbT1aTSGriHcADHzSeP7zy5Cdam4eqVoZh+G7x+DVjkZvjIxDRv+DS/4JD2w3ZuKoiCBuauLEiRw+fPis40eOHGHixIkmJJJKy82E/T8az9tfW6FbbDiYzuH0M9Tz9qjdswxFRKRG0YyEusBigVGzynXJqO6N+O3oDhZsTGJsn2ZVk6u6xNwMG2bB0U3w4zNw7RtmJxJXS9pY1P/gC/U/kDprx44ddO/e/azj3bp1Y8eOHSYkkkrb852xhXNoWwhr9+fnn8OC+CQAhnaOxM9LL/tERMQ1NCNBzunarlHYrBa2JGWyL/WU2XEqx2qFIS8az+M/gmNbzM0jruGwG4WD2VfCfy6H3xYaRYQWA2DMfLh3HfQcryKC1Bne3t6kpKScdfzYsWN4eOgPyFppxxfGxw7XVejy0/mFfL31GADX99SyBhERcR0VEuScQut5M6BNQwAWxh8xOY0LNImFTtcDTvj2EXA6zU4kFZV3Cta+A693g8/GGk0UrZ7QdQzcsxLGfgGtr1ATRalzrrzySqZMmUJm5u/d/TMyMnj00Ue54oorTEwmFZKXDft+MJ53qNiyhqXbk8nJt9M0xI+eTRu4MJyIiNR1eotCzmtUj0bE7Upl0aYjPHhlW2xWy59fVJNd8RTs+hoSV8OOxdBxhNmJpDwyDhvNE+M/hLws45hvMPS6A3rdCQFa+yt127///W8uueQSmjZtSrdu3QDYvHkz4eHhfPTRRyank3Lb+z0U5kJwCwivWG+X+RuNZQ3Xd2+ExVLLx3AREalRVEiQ87q8XRiBPh4cy8xlbUIa/VqFmh2pcoIaGbs2/PwCfP8EtBmiae+1wYX6H3S5Cbz8zM0nUkNER0ezdetWPvnkE7Zs2YKvry/jx4/n5ptvxtPT0+x4Ul7FuzV0uK7UVo5llXTyNKv3p2GxwEjt1iAiIi6mQoKcl4+njWtiovh0XSIL4pNqfyEBjELCpo8g8zCsfhMu/YfZieRcHHZj9siat+Dw2t+PN78U+twHrQZp6YLIOfj7+3P33XebHUMqK/807PneeF7B3RqKlyX2bRlCdH0VzUVExLVUSJALGtW9EZ+uS2Tp9mSeua4Qf+9a/n8ZLz+44mlYcAesnA7dxkBglNmpBIziwYm9xlZn62YYWzeC0f+gy43QewJEdDY3o0gtsGPHDhITE8nPzy91/NprK/YHqZhgfxwU5EBQE4jqVu7LnU5nybKGUd01G0FERFyvlv9VKFWte5P6NAvx42DaaZZuT2aUO0yP7DQK1s80mvT98BSMfNfsRHVPYR6k7jR20EjeanxM+Q0KTv9+jvofiJRLQkICI0aMYNu2bVgsFpxFTWWL18bb7XYz40l57Che1nBthZY1bDh4ksT00/h72RjSSf9+ioiI61WokHD48GEsFguNGhl/VK5fv55PP/2UDh06aEqlm7FYLIzs3ojpy/awcFOSexQSLBYY8gLMugy2zjX+UG3cy+xU7is/B5K3FxUNthgfU3eBo+Dscz39jVkHMaPV/0CknCZNmkTz5s2Ji4ujefPmrF+/nrS0NB588EH+/e9/mx1PyqowD3Z/azyv4LaP8zceBmBol0j8vPSekYiIuF6FRpe//OUv3H333dx6660kJydzxRVX0LFjRz755BOSk5OZOnWqq3OKiUZ0i2b6sj2s3p/G0YwzRLnDWsvo7sZ2gZs/gaWPwB3LtObeFU6nF80w2Pr7bIMTe4FzbLfpUx8iYyCyC0R2hYguENISrLZqDi3iHtasWcOPP/5IaGgoVqsVq9VK//79mTZtGvfffz+bNm0yO6KUxf7lkH8KAqIgume5Lz+dX8g325IBuL5HY1enExERASpYSNi+fTsXXXQRAJ999hmdOnVi1apVfP/999xzzz0qJLiZxsF+xDYPZt2BdBZtOsLEy1qZHck1Bk41dgI48its+xxibjI7Ue3hdMKp5N+XJRzbYhQPMhPPfX5ApFEoKCkcxEBQ4wpN2RWRc7Pb7QQEBAAQGhrK0aNHadu2LU2bNmX37t0mp5My2/GF8bHDtRUqcH/3WzLZeYU0CfajV7MGLg4nIiJiqFAhoaCgAG9vbwB++OGHkgZO7dq149ixY65LJzXGqO6NWHcgnYXxSdw7oKV77EcdEAEXPwhxT8EPT0K7oeBdz+xUNY/TCScPlu5ncGwr5KSe+/wGzYxCQUTRTIPILlAvrBoDi9RNnTp1YsuWLTRv3pzY2FheeuklvLy8mDlzJi1atDA7npRFYT7s/tp4XsHdGoqbLF7fo5F7jNUiIlIjVaiQ0LFjR2bMmMHQoUNZtmwZzzzzDABHjx4lJCTEpQGlZriqcwRTl2xn//EctiRl0rVxfbMjuUbve2HjB8YOAateg8sfNzuRueyFkLa39NKEY1shL/Pscy1WCG37+wyDiC5GfwPf+tUeW0Tg8ccfJycnB4Cnn36aa665hosvvpiQkBDmzZtncjopk4MrIDcT/MOgSe9yX5508jSr96cBMLJ7tKvTiYiIlKhQIeHFF19kxIgRvPzyy4wbN46YmBgAlixZUrLkQdxLgI8ngztG8MXmoyyMT3KfQoKnD1z5LHx2K6x+A7rdCg2amp2qehTmQeqO32cYFO+cUHjm7HNtXhDW4feiQWRX43M1QxSpMQYPHlzyvFWrVuzatYv09HQaNGigd6Zri+JlDe2HVahfzKL4Izid0LdlCI0a6N9nERGpOhUqJAwYMIATJ06QlZVFgwa/r7+7++678fPTwOWuRnZvxBebj7Jky1EeH9oBLw83aU7Yfhg0uxgO/gLLpsKNc8xO5Hr5OZC8rXTR4PhOcBSefW7xzgl/7GcQ2hY8vKo/t4iUSUFBAb6+vmzevJlOnTqVHA8ODjYxlZSLvRB2FS1r6FD+ZQ1Op5P58b8vaxAREalKFSoknDlzBqfTWVJEOHToEIsWLaJ9+/al3hER99K/VShhAd6knsrjx12p7rM3dfF2kO9eDDsWw8FV0Kyf2alcI/s4rHkDNsyG/Oyzv+7b4A/9DGKMR3BL7WAhUst4enrSpEkT7Ha72VGkog6tgtNp4BsMTfuX+/JfD53kUNpp/L1s7jM+i4hIjVWhQsJ1113HyJEjueeee8jIyCA2NhZPT09OnDjB9OnTmTBhgqtzSg1gs1oY0S2ad1cksDA+yb1eqER0gu7jYOP7xnaQd/9Uu7chPJUMq16HX9/7falCvQiI6lq6cBDUSDsniLiJxx57jEcffZSPPvpIMxFqo5JlDdeArfwvz+b/asxGuLpzJH5eFXp5JyIiUmYVGmni4+N59dVXAZg/fz7h4eFs2rSJBQsWMHXqVBUS3NjI7o14d0UCy3enkp6TT7C/G013v/xx2L7QaDC46WPoMc7sROWXmQQrX4P4D8GeZxyL6g6X/hPaDFHRQMSNvfnmm+zbt4+oqCiaNm2Kv79/qa/Hx8eblEz+lMMOu74ynre/rtyXn8m38/U2Y9csLWsQEZHqUKFCwunTp0v2qv7+++8ZOXIkVquV3r17c+jQIZcGlJqlbUQAHaMC+e1oFl9uOcq4vs3MjuQ6/qEw4GH47lH48RnoOAJ8As1OVTYnD8Iv02Hzp+AoMI41jjUKCC0HqoAgUgcMHz7c7AhSUYfXQXYK+ARB80vKffl3vyWTnVdIk2A/ejXTbBQREal6FSoktGrVisWLFzNixAi+++47/v73vwOQmppKYGAt+cNLKmxU90b8dnQHC+OT3KuQANDrLmM5QNo+WPEyXPmM2YkuLG0//PIKbJkLzqK10c0uhkv+YbwYVQFBpM548sknzY4gFVW8rKHt0Ao1tp2/0VjWMKp7I6xW/bsvIiJVr0Id1aZOncpDDz1Es2bNuOiii+jTpw9gzE7o1q2bSwNKzXNt1yhsVgtbkjLZl3rK7Diu5eEFg6cZz9e+Y/yhXhOl7oIFd8KbPWHzJ0YRoeXlMH4p3PYVtLhURQQRkdrA4YCdXxrPO5R/WcORjDOs2n8CgJHdo12ZTERE5LwqVEi4/vrrSUxM5Ndff+W7774rOT5w4MCS3gnivkLreTOgTUMAFsQfMTlNFWhzJbQaZCwR+P5xs9OUlrwdPhsHb/eGbZ+D0wGtB8OdcXDrImjax+yEImISq9WKzWY770NqqCMbIesIeAVAy8vKffmi+CScTujTIoTGwdqCW0REqkeF2/pGREQQERFBUpIxna5Ro0ZcdNFFLgsmNduoHo2I25XK4k1HeOjKttjcbSrl4Odh/3LY/Q3s/9F4t99MRzfBzy/D7q9/P9buGmMJQ1RX02KJSM2xaNGiUp8XFBSwadMm5syZw1NPPWVSKvlTOxYbH9sOAQ/vcl3qdDpLljWoyaKIiFSnChUSHA4Hzz77LK+88grZ2cbe9AEBATz44IM89thjWLUHvdu7vF0YgT4eHMvMZW1CGv1ahZodybUatoWL7oJ1M2Dpo3DPygptx1Vph9fDzy/BvmVFByzQcbhRQAjvWP15RKTGuu66s6fFX3/99XTs2JF58+Zxxx13mJBKLsjphJ1LjOcVWNaw8dBJDqadxs/L5l5bMouISI1Xob/4H3vsMd58801eeOEFNm3axKZNm3j++ed54403eOKJJ1ydUWogH08b18REAbCg6N0QtzPgEfANhuM7YeP71fu9D66CD6+D2VcYRQSLFbrcBBPXwQ0fqIggImXWu3dv4uLizI4h53JsM2QkgqefscNOORXPRri6cyT+3iYUu0VEpM6q0KgzZ84c/vOf/3DttdeWHOvSpQvR0dHce++9PPfccy4LKDXXqO6N+HRdIt9uT+aZ4YXu9yLGtwFc9ih88xAsfw46jQK/KtxWy+mEAz8bMxAOrTKOWT0gZjT0nwwhLavue4uIWzpz5gyvv/460dFqwlcjFe/W0PpK8Cpff4Mz+Xa+2noM0LIGERGpfhX6yy89PZ127dqddbxdu3akp6dXOpTUDt2b1KdZiB8H006zdHsyo9zxhUyP8cZ2kKk74KcX4OqXXP89nE7Y94NRQEhabxyzekK3W6D/36FBU9d/TxFxOw0aNMDyh91anE4np06dws/Pj48//tjEZHJOTufvhYQKLGv4fkcy2XmFNA725aJmVVjkFhEROYcKFRJiYmJ48803ef3110sdf/PNN+nSpYtLgknNZ7FYGNm9EdOX7WFBfJJ7FhJsHjBkmrHMYMN/oOftEHZ2Ea1CnE6jmeOKl41migAePtB9HPSbBEF6B1FEyu7VV18tVUiwWq00bNiQ2NhYGjRoYGIyOaeU3yA9wfh3v/WV5b68eFnDqO6NsLpbw2MREanxKlRIeOmllxg6dCg//PADffoY282tWbOGw4cP880337g0oNRsI7pFM33ZHtYkpHEk4wzR9X3NjuR6LQZA26HGjgnfPQq3LABLJV60ORyw8wtY8W9I2W4c8/QzihR974eAcJfEFpG65bbbbjM7gpRH8WyEVoPAu165Lj2acYaV+04ARiFBRESkulWo2eKll17Knj17GDFiBBkZGWRkZDBy5Eh+++03PvroI1dnlBqscbAfsc2DcTph8aYjZsepOlc+Yyw32B8He7+v2D0cdtj6ObzTBz6/zSgieNUzli88sA0GP6cigohU2Pvvv8/nn39+1vHPP/+cOXPmmJBILqgSuzUs2nQEpxN6twimcXD5eiuIiIi4QoX3aYyKiuK5555jwYIFLFiwgGeffZaTJ08ye/ZsV+aTWqD43ZAF8Uk4nU6T01SRkJbQ517j+dIpUJhf9mvtBbDpE3izFyy8E47vAu8guPRho4Aw6F/g72bbZ4pItZs2bRqhoWf/WxIWFsbzzz9vQiI5r9Rdxlhg9YQ2g8t1qdPpLFnWcH2PxlWRTkRE5E9VuJAgUuyqzhH4eFpJOJ7DlqRMs+NUnYsfAv8wSN8P62f++fmF+bDxA3ijB3xxr3GdbwO47HH4+zZjR4iq3AVCROqUxMREmjdvftbxpk2bkpiYaEIiOa/i2QgtLwefoHJdGp94kgMncvDzsnFVp4gqCCciIvLnVEiQSgvw8WRwR+PFzML4JJPTVCGfQBj4hPH855cg+/i5zyvIhfWz4PVu8OUkyDgEfqEw6CljBsKl/yj3C0cRkT8TFhbG1q1bzzq+ZcsWQkJCTEgk57Wj4ssaimcjXNUp0v22XRYRkVpDhQRxiZFFyxuWbDlKXqHd5DRVqOsYiIyBvExY/mzpr+WfhjVvw//FwDcPQVYS1IuAwdOMAkL/B8A7wJTYIuL+br75Zu6//36WL1+O3W7Hbrfz448/MmnSJEaPHm12PCmWth9StoHVA9peVa5Lz+Tb+WrLMQCud8edkkREpNYoVyl75MiRF/x6RkZGZbJILda/VShhAd6knspj+a7jDHHX6ZZWGwx5Ad6/CuI/hF53QoNmsGE2rHkTcopmKQQ2MgoH3W4FTx8zE4tIHfHMM89w8OBBBg4ciIeHMbw7HA7Gjh2rHgk1SfFuDc0vKffytu93JHMqr5BGDXyJba6lcSIiYp5yFRKCgi48HTsoKIixY8dWKpDUTjarhRHdonl3RQIL45Pct5AA0LQvdBwBvy0ydl84nQZnThpfq98ULp4MMX8BDy9TY4pI3eLl5cW8efN49tln2bx5M76+vnTu3JmmTZuaHU3+qBK7NRQvaxjVvRFWayW2IRYREamkchUS3n///arKIW5gZPdGvLsigeW7U0nPySfY343/kL7iadj9LaTtMz4PbgmXPASdbwCbp7nZRKROa926Na1btzY7hpzLyUNwdBNYrNDumnJdeizzDCv3nQB+3y1JRETELOqRIC7TNiKATtGBFNidfLnlqNlxqlb9JnDNa9DiMhj5H7hvA3T9i4oIImKaUaNG8eKLL551/KWXXuKGG24wIZGcpXg2QtN+5d72d2H8EZxOiG0eTJMQvyoIJyIiUnYqJIhLjexmvEvi1rs3FOt6M4xdDF1uMHoniIiYaMWKFVx99dVnHb/qqqtYsWKFCYnkLMX9Ecq5rMHpdLKgaFmDmiyKiEhNoEKCuNS1XaPwsFrYkpTJvtRTZscREakzsrOz8fI6e0mZp6cnWVlZJiSSUjKPQNIGwALth5Xr0vjEDBJO5ODnZePqzpFVk09ERKQcVEgQlwqt582Atg0BWBB/xOQ0IiJ1R+fOnZk3b95Zx+fOnUuHDh1MSCSl7PzS+NikNwSUryFxcZPFqzpF4u9drvZWIiIiVUKFBHG5kUVNoBZvOoLd4TQ5jYhI3fDEE0/wzDPPMG7cOObMmcOcOXMYO3Yszz77LE888USF7vnWW2/RrFkzfHx8iI2NZf369ec9d8CAAVgslrMeQ4cOLTnntttuO+vrQ4YMqVC2WqeCyxpyC+x8VdR3aFSPaFenEhERqRCVtcXlLm8XRqCPB8cyc1mzP43+rcvXUEpERMpv2LBhLF68mOeff5758+fj6+tLTEwMP/74I8HBweW+37x585g8eTIzZswgNjaW1157jcGDB7N7927CwsLOOn/hwoXk5+eXfJ6WlkZMTMxZjR6HDBlSahcob2/vcmerdU6lQOIa43k5lzX8evAkp/IKCQvwpnfzkCoIJyIiUn6akSAu5+NpY1hMFFBHmi6KiNQQQ4cOZdWqVeTk5JCQkMCNN97IQw89RExMTLnvNX36dO666y7Gjx9Phw4dmDFjBn5+frz33nvnPD84OJiIiIiSx7Jly/Dz8zurkODt7V3qvAYNGlToZ61Vdn0JOCG6JwSVr1niqv3Glo/9W4ditVqqIJyIiEj5qZAgVaJ4ecO325PJySs0OY2ISN2xYsUKxo0bR1RUFK+88gqXX345a9euLdc98vPz2bhxI4MGDSo5ZrVaGTRoEGvWrCnTPWbPns3o0aPx9/cvdfynn34iLCyMtm3bMmHCBNLS0s57j7y8PLKysko9aqUKLmsAWLXPKCT0a6nZfSIiUnOokCBVonuT+jQP9edMgZ1vtyebHUdExK0lJyfzwgsv0Lp1a2644QYCAwPJy8tj8eLFvPDCC/Tq1atc9ztx4gR2u53w8PBSx8PDw0lO/vN/09evX8/27du58847Sx0fMmQIH374IXFxcbz44ov8/PPPXHXVVdjt9nPeZ9q0aQQFBZU8GjduXK6fo0bIOQEHVxnPO1xbrkszTuez7UgmAP1aqZAgIiI1hwoJUiUsFgsjuxlNobS8QUSk6gwbNoy2bduydetWXnvtNY4ePcobb7xhaqbZs2fTuXNnLrroolLHR48ezbXXXkvnzp0ZPnw4X331FRs2bOCnn346532mTJlCZmZmyePw4cPVkN7Fdn0NTjtExkCDZuW6dG1CGk4ntAqrR0SQT9XkExERqQAVEqTKDC8qJKxJSONIxhmT04iIuKdvv/2WO+64g6eeeoqhQ4dis9kqfc/Q0FBsNhspKSmljqekpBARceGtC3Nycpg7dy533HHHn36fFi1aEBoayr59+875dW9vbwIDA0s9ap1KLGtYWbKsQU0WRUSkZlEhQapM42A/YpsH43QaW0GKiIjrrVy5klOnTtGjRw9iY2N58803OXHiRKXu6eXlRY8ePYiLiys55nA4iIuLo0+fPhe89vPPPycvL49bbrnlT79PUlISaWlpREZGVipvjXXmJBz42XjeviL9EYz+EVrWICIiNY0KCVKlRvUwmi4uiE/C6XSanEZExP307t2bWbNmcezYMf76178yd+5coqKicDgcLFu2jFOnTlXovpMnT2bWrFnMmTOHnTt3MmHCBHJychg/fjwAY8eOZcqUKWddN3v2bIYPH05ISOl30bOzs/nHP/7B2rVrOXjwIHFxcVx33XW0atWKwYMHVyhjjbf7W3AUQlhHCG1VrkuPZJzhwIkcrBaIbaEZCSIiUrOokCBV6qpOEfh4Wkk4nsOWpEyz44iIuC1/f39uv/12Vq5cybZt23jwwQd54YUXCAsL49pry9fkD+Cmm27i3//+N1OnTqVr165s3ryZpUuXljRgTExM5NixY6Wu2b17NytXrjznsgabzcbWrVu59tpradOmDXfccQc9evTgl19+wdvbu2I/dE3ngt0aujSqT5CvpytTiYiIVJrFWcfeJs7KyiIoKIjMzMzaudayFpo0dxNfbD7Krb2b8szwTmbHERGpUapyXLLb7Xz55Ze89957LFmyxKX3NkOtGsNzs+DllmDPh3vXQVi7cl3+wNxNLN58lPsua8VDg9tWUUgREamMWjUuuViNmJHw1ltv0axZM3x8fIiNjWX9+vVlum7u3LlYLBaGDx9etQGlUkZ1N5Y3fLn1KHmF597iS0REXM9mszF8+HC3KCLUOnu+M4oIoW3KXURwOp2sLOqP0LeVljWIiEjNY3ohYd68eUyePJknn3yS+Ph4YmJiGDx4MKmpqRe87uDBgzz00ENcfPHF1ZRUKqpfq1DCArzJOF3A8l3HzY4jIiJS9XYsNj5WYFnDnpRsTmTn4eNppXuTBq7NJSIi4gKmFxKmT5/OXXfdxfjx4+nQoQMzZszAz8+P995777zX2O12xowZw1NPPUWLFi2qMa1UhM1qYUTRVpAL4pNMTiMiIlLF8rJh3w/G80r0R+jVLBgfz8pv5ykiIuJqphYS8vPz2bhxI4MGDSo5ZrVaGTRoEGvWrDnvdU8//TRhYWFl2qNaaoaRRcsblu9KJT0n3+Q0IiIiVWjfMijMhQbNIbz8vYGKCwna9lFERGoqUwsJJ06cwG63l3SALhYeHk5ycvI5r1m5ciWzZ89m1qxZZfoeeXl5ZGVllXpI9WsbEUCn6EAKHU6+3HLU7DgiIiJV54+7NVgs5bq0wO5gbYLRH6G/CgkiIlJDmb60oTxOnTrFrbfeyqxZswgNLdvgOm3aNIKCgkoejRs3ruKUcj4juxmzErS8QURE3FbBGdjzvfG8AssatiZlkJNvp76fJx0i61YHcBERqT1MLSSEhoZis9lISUkpdTwlJYWIiIizzt+/fz8HDx5k2LBheHh44OHhwYcffsiSJUvw8PBg//79Z10zZcoUMjMzSx6HDx+usp9HLuzarlF4WC1sTcpkb8ops+OIiIi43r44KMiBoCYQ1a3cl6/cW7RbQ8sQrNbyzWYQERGpLqYWEry8vOjRowdxcXElxxwOB3FxcfTp0+es89u1a8e2bdvYvHlzyePaa6/lsssuY/PmzeecbeDt7U1gYGCph5gjtJ43A9o2BGDhpiMmpxEREakCJcsari33sgaAVfvVH0FERGo+D7MDTJ48mXHjxtGzZ08uuugiXnvtNXJychg/fjwAY8eOJTo6mmnTpuHj40OnTqWbFtWvXx/grONSM43s3ogfdqayKP4ID13ZFpvebREREXdRmAd7lhrPK7CsISevkE2JJwHo11KFBBERqblMLyTcdNNNHD9+nKlTp5KcnEzXrl1ZunRpSQPGxMRErNZa1cpBLmBg+zACfTxIzsplzf40+rfWCyUREXETCT9BXhYEREJ0z3Jfvv5gOgV2J9H1fWka4uf6fCIiIi5ieiEB4L777uO+++4759d++umnC177wQcfuD6QVBlvDxvDYqL4ZF0iC+OTVEgQERH3Ubysof21UIE3QVYXbfvYv1UolgosixAREakueqtfqt3I7sbuDd9uTyY7r9DkNCIiIi5gL4BdXxvPK7CsAWDlvqJGi61CXJVKRESkSqiQINWue5P6NA/150yBnaXbk82OIyIiUnkHVkBuBvg3hCa9y335iew8dh7LAqCv+iOIiEgNp0KCVDuLxcLIbtEALIxPMjmNiIiIC5QsaxgGVlu5L1+z35iN0C4igIYB3q5MJiIi4nIqJIgphhcVEtYkpHEk44zJaURERCrBXgi7vjKeV3BZw6p92vZRRERqDxUSxBSNg/3o3SIYpxMWbzpidhwREZGKS1wNp9PANxia9q/QLVbt/73RooiISE2nQoKYprjp4oL4JJxOp8lpREREKqh4WUO7oWAr/4ZYiWmnOZx+Bg+rhYuaB7s4nIiIiOupkCCmuapTBD6eVhKO57D5cIbZcURERMrP4YCdXxrPOwyv0C1WFi1r6NakPv7eNWJnbhERkQtSIUFME+DjyZCOEQAsjNfyBhERqYUOr4PsFPAJguaXVOgWxcsa1B9BRERqCxUSxFTFyxu+3HqUvEK7yWlERETKqXhZQ9urwcOr3Jc7HE5Wq9GiiIjUMiokiKn6tQolLMCbjNMFLN+VanYcERGRsnM4YOcS43kFd2vYcSyLk6cL8Pey0bVxfddlExERqUIqJIipbFYLI4q2glyg5Q0iIlKbHI2HrCPgFQAtLqvQLVYXLWuIbRGCp00vy0REpHbQiCWmK17esHxXKuk5+SanERERKaMdi42PbQaDp0+FbrFyXxoAfVuGuCiUiIhI1VMhQUzXNiKATtGBFDqcLNmsWQkiIlILOJ2/90eo4LKGvEI7Gw6kA9C/tfojiIhI7aFCgtQII7sZsxIWblIhQUREaoFjWyAjETz9oNWgCt1iU2IGZwrshNbzom14gIsDioiIVB0VEqRGuLZrFB5WC1uTMtmbcsrsOCIiIhdWPBuh9RXg5VehW6wq2q2hb8tQLBaLq5KJiIhUORUSpEYIrefNgLYNATVdFBGRGs4Fyxrg90JCf237KCIitYwKCVJjFDddXLzpCHaH0+Q0IiIi55G6A9L3g4cPtL6yQrfIyi1gS1ImAH1bqdGiiIjULiokSI0xsH0YgT4eJGflsmZ/mtlxREREzq14NkLLgeBdsd4G6xLSsTucNAvxo1GDii2NEBERMYsKCVJjeHvYGBYTBcAry3aTebrA5EQiIiLn4MJlDf20rEFERGohFRKkRrmtbzP8vWxsSsxgxDurOJSWY3YkERGR3x3fDcd3gdUT2g6p8G1USBARkdpMhQSpUVqHBzB/Ql+ignxIOJ7D8LdWseFgutmxREREDDuWGB9bXgY+QRW6RWpWLntTs7FYoE8L9UcQEZHaR4UEqXHaRwayeGI/OkcHcfJ0AWNmrWPxJu3kICIiNYArljXsN2YjdIwKpIG/lytSiYiIVCsVEqRGCgv0Yd5fezO4Yzj5dgcPzNvMq8v24HRqNwcRETFJ2n5I2QZWD2h7dYVvs3Kv0VBYyxpERKS2UiFBaiw/Lw/eGdODv17aAoD/i9vLA/M2k1tgNzmZiIjUSTuLljU0uxj8git0C6fTyeqiGQn9VUgQEZFaSoUEqdGsVgtTrmrPtJGd8bBa+GLzUW75zzrSsvPMjiYiInWNC5Y1JJzI4VhmLl42Kz2bVqwYISIiYjYVEqRWuPmiJnww/iICfDz49dBJRry9mn2p2WbHEhGRuiIjEY5uAosV2l1T4dsU79bQo2kDfL1srkonIiJSrVRIkFqjf+tQFt3bl8bBviSmn2bk26tYXfSCTEREpEoV79bQtB/Ua1jh2xQXEvq31rIGERGpvVRIkFqlVVgAi+/tR4+mDcjKLWTse+v5bMNhs2OJiIi7c8GyBrvDyZr9RqPFvi217aOIiNReKiRIrRNSz5tP7oxlWEwUhQ4n/1ywlRe+3YXDoR0dRESkCmQegaT1gKVSyxq2H8kkK7eQAB8POkcHuS6fiIhINVMhQWolH08br4/uyv0DWwMw4+f9TPw0njP52tFBRERcbNdXxscmvSEwssK3WVm0rKF3ixA8bHoJJiIitZdGMam1LBYLk69ow/QbY/C0Wfh2ezKjZ60l9VSu2dFERMSdFC9raH9tpW5T0h9B2z6KiEgtp0KC1Hojuzfi4ztiqe/nyZbDGYx4azW7krPMjiUiIu7gVAocWm08bz+swrfJLbDz66GTAPRTIUFERGo5FRLELcS2CGHxvf1oEerPkYwzXP/OGn7anWp2LBERqe12fQU4Ibon1G9c4dv8evAk+YUOwgO9adnQ33X5RERETKBCgriNZqH+LLy3L71bBJOdV8jtH2zgozUHzY4lIiK1WcluDZVb1lDcH6Ffq1AsFktlU4mIiJhKhQRxK/X9vPjw9lhGdW+EwwlPfPEbT3+5A7t2dBARkfLKSYODK43nleyPsHq/+iOIiIj7UCFB3I6Xh5V/39CFfwxuC8B7qw5w94e/kpNXaHIyERGpVXZ/DU47RMZAcPMK3ybjdD7bjmQC6o8gIiLuQYUEcUsWi4WJl7Xirb90x9vDStyuVG6YsYZjmWfMjiYiIrWFi3ZrWJuQhtMJrcLqER7o44JgIiIi5lIhQdza0C6R/Pfu3oTW82LHsSyGv7WK7UXvComIiJzXmZOQ8JPxvMPwSt2qpD9Cy5DKZRIREakhVEgQt9e9SQMW3duP1mH1SMnK44YZa/j+t2SzY4mISE22eyk4CiGsI4S2qtStVu1LA7SsQURE3IcKCVInNA72Y8G9fbm4dShnCuz89eON/OeXBJxONWEUEZFzcNFuDUcyznDgRA5WC/TWjAQREXETKiRInRHo48n7t/ViTGwTnE549uudPL54OwV2h9nRRESkJsnNgv1xxvMO11XqVquKljV0aVSfQB/PyiYTERGpEVRIkDrFw2bl2eGdeHxoeywW+GRdIrd/sIGs3AKzo4mISE2x93uw50NoG2jYrlK3Ki4kaNtHERFxJyokSJ1jsVi48+IWvHtLD3w9bfyy9wTXv7Oaw+mnzY4mIiI1wY7Fxsf214LFUuHbOJ1O9UcQERG3pEKC1FlXdozg83v6EB7ozZ6UbEa8vYpNiSfNjiUiImbKz4G9PxjPK7msYU9KNiey8/DxtNK9af3KZxMREakhVEiQOq1TdBCLJ/ajQ2QgJ7LzGT1zLV9vPWZ2LBERMcveZVB4Bho0h4jOlbpV8bKGXs2C8fawuSKdiIhIjaBCgtR5kUG+fH5PHwa1DyOv0MHET+N5a/k+7eggIlIX/XG3hkosa4DfCwla1iAiIu5GhQQRwN/bg3dv7cnt/ZoD8PJ3u/nH/K3kF2pHBxGROqPgDOz5znheyWUNBXYHaxOM/ghqtCgiIu5GhQSRIjarhanDOvDMdR2xWS3M35jErbPXkXE63+xoIiJSHfb/CAU5ENQYorpX6lZbkzLIybdT38+TDpGBLgooIiJSM6iQIPI/bu3TjNnjelLP24N1B9IZ+fZqDp7IMTuWiEi1e+utt2jWrBk+Pj7Exsayfv368547YMAALBbLWY+hQ4eWnON0Opk6dSqRkZH4+voyaNAg9u7dWx0/StkUL2uo5G4NACv3GrMR+rYMwWqt3L1ERERqGhUSRM5hQNsw5k/oQ3R9XxJO5DD87VWsP5BudiwRkWozb948Jk+ezJNPPkl8fDwxMTEMHjyY1NTUc56/cOFCjh07VvLYvn07NpuNG264oeScl156iddff50ZM2awbt06/P39GTx4MLm5udX1Y51fYR7s/tZ4XsllDaD+CCIi4t5USBA5j3YRgSya2JeYRkFknC7glv+sY9GmJLNjiYhUi+nTp3PXXXcxfvx4OnTowIwZM/Dz8+O999475/nBwcFERESUPJYtW4afn19JIcHpdPLaa6/x+OOPc91119GlSxc+/PBDjh49yuLFi6vxJzuPhJ8hLwsCIqFRr0rdKievkE2Hje2E1R9BRETckQoJIhcQFuDD3Lv7cHXnCPLtDv4+bwvTv9+tHR1ExK3l5+ezceNGBg0aVHLMarUyaNAg1qxZU6Z7zJ49m9GjR+Pv7w/AgQMHSE5OLnXPoKAgYmNjz3vPvLw8srKySj2qzB+XNVgr9/Jo/cF0CuxOouv70iTYzwXhREREahYVEkT+hK+XjTdv7s6EAS0BeP3HfUyau5ncArvJyUREqsaJEyew2+2Eh4eXOh4eHk5ycvKfXr9+/Xq2b9/OnXfeWXKs+Lry3HPatGkEBQWVPBo3blzeH6Vs7AWw6yvjeYdrK3271UXLGvq3CsVSyV4LIiIiNZEKCSJlYLVaeHhIO14a1QUPq4UlW44y5j/rSMvOMzuaiEiNM3v2bDp37sxFF11UqftMmTKFzMzMksfhw4ddlPB/HPwFcjPAvyE06VPp263cV9RosVVIpe8lIiJSE6mQIFION/ZqzId3XESgjwcbD51k+Nur2J18yuxYIiIuFRoais1mIyUlpdTxlJQUIiIiLnhtTk4Oc+fO5Y477ih1vPi68tzT29ubwMDAUo8qUbKsYRhYbZW61YnsPHYeM5Zg9G2p/ggiIuKeVEgQKae+LUNZeG8/mob4cTj9DMPfWsVXW4+aHUtExGW8vLzo0aMHcXFxJcccDgdxcXH06XPhd+w///xz8vLyuOWWW0odb968OREREaXumZWVxbp16/70nlXKXgg7i5Y1tK/8soY1+43ZCO0iAmgY4F3p+4mIiNREKiSIVECrsHosvrcfF7cO5UyBnfs+3cTz3+yk0O4wO5qIiEtMnjyZWbNmMWfOHHbu3MmECRPIyclh/PjxAIwdO5YpU6acdd3s2bMZPnw4ISGlp/VbLBYeeOABnn32WZYsWcK2bdsYO3YsUVFRDB8+vDp+pHNLXA2nT4BvMDTrX+nbadtHERGpCzzMDiBSWzXw9+KD8Rfx8ne7mfHzfmauSOC3o5m8cXN3gv29zI4nIlIpN910E8ePH2fq1KkkJyfTtWtXli5dWtIsMTExEev/7G6we/duVq5cyffff3/Oe/7zn/8kJyeHu+++m4yMDPr378/SpUvx8fGp8p/nvHYsMT62Gwo2z0rfbuUfGi2KiIi4K4uzju1jl5WVRVBQEJmZmVW31lLqnG+2HeOhz7dwOt9OdH1fZtzSg86NgsyOJSK1gMalsnP578rhgOntIDsFxsyH1ldU6naJaae55OXleFgtbHnySvy99X6NiIg7q8tjuJY2iLjA1Z0jWTyxH81D/TmScYZRM1Yzf2OS2bFERORCDq8zigjeQdD80krfrng2Qrcm9VVEEBERt6ZCgoiLtAkPYPHEfgxsF0Z+oYOHPt/C1C+2k1+ovgkiIjXSzuJlDVeDR+WXpK3ar/4IIiJSN6iQIOJCQb6ezBrbkwcGtQbgwzWH+MustaRm5ZqcTERESnE4/rDtY+V3a3A4nKxWo0UREakjVEgQcTGr1cIDg9owe1xPAnw8+PXQSa55YyUbD6WbHU1ERIodjYesI+BVD1peXunb7TiWxcnTBfh72ejauH7l84mIiNRgKiSIVJGB7cNZcl9/2oTXI/VUHqNnruWjtYeoY/1NRURqpuLZCG2GgGfld41YXbSsIbZFCJ42vbwSERH3ppFOpAo1D/Vn0b39GNo5kgK7kycWb+ef87eSW2A3O5qISN225zvjY4fKL2sAWLkvDYC+LUNccj8REZGaTIUEkSrm7+3Bm3/pxpSr2mG1wOcbk7jx3TUcyThjdjQRkbrrzh9g5CxoNajSt8ortLP+gFFI6N9a/RFERMT9qZAgUg0sFgt/vbQlH94eSwM/T7YmZTLsjZUlU2FFRKSa+QRClxvBy7/St9qUmEFugYPQel60DQ9wQTgREZGaTYUEkWrUv3UoS+7rT8eoQNJz8rl19nr+80uC+iaIiNRiq4p2a+jbMhSLxWJyGhERkaqnQoJINWsc7MeCCX0Z2T0au8PJs1/v5P65mzmdX2h2NBERqYDiQkJ/bfsoIiJ1hAoJIibw8bTxyg0x/GtYBzysFr7ccpSRb6/mUFqO2dFERKQcsnIL2JKUCUA/9UcQEZE6QoUEEZNYLBZu69ecT+/qTWg9b3Yln2LYGytZvjvV7GgiIlJG6xLSsTucNAvxI7q+r9lxREREqoUKCSImu6h5MF/9rT/dmtQnK7eQ2z/YwBtxe3E41DdBRKSmK17W0E/LGkREpA5RIUGkBogI8mHu3b35S2wTnE54Zdke/vrxRk7lFpgdTURELkCFBBERqYtUSBCpIbw9bDw/ojMvjuqMl83Ksh0pXPfWKvalnjI7moiInENKVi57U7OxWKBPixCz44iIiFQbFRJEapibejXhs3v6EBnkQ8LxHK57cxVLtyebHUtERP7H6v3GbIROUUE08PcyOY2IiEj1USFBpAbq2rg+X/6tP7HNg8nJt3PPxxt5+btd2NU3QUSkxli5Nw2Avq00G0FEROoWFRJEaqjQet58fGcst/drDsBby/cz/oMNZJzONzmZiIg4nc6SGQn91R9BRETqGBUSRGowT5uVqcM68H+ju+LjaWXFnuMMe3MlO45mmR1NRKROSziRw7HMXLw8rPRqFmx2HBERkWqlQoJILXBd12gWTuhH42BfDqefYeQ7q/hi8xGzY4mI1FnFuzX0aNIAH0+byWlERESqV40oJLz11ls0a9YMHx8fYmNjWb9+/XnPXbhwIT179qR+/fr4+/vTtWtXPvroo2pMK2KODlGBfHlffy5uHUpugYNJczfz9Jc7KLA7zI4mIlLnFBcS+rfWsgYREal7TC8kzJs3j8mTJ/Pkk08SHx9PTEwMgwcPJjU19ZznBwcH89hjj7FmzRq2bt3K+PHjGT9+PN999101JxepfvX9vPhg/EXcO6AlAO+tOsAt/1nHiew8k5OJiNQddoeTNfuLGi22VKNFERGpe0wvJEyfPp277rqL8ePH06FDB2bMmIGfnx/vvffeOc8fMGAAI0aMoH379rRs2ZJJkybRpUsXVq5cWc3JRcxhs1r455B2zLilO/5eNtYdSGfYGyvZfDjD7GgiInXC9iOZZOUWEuDjQefoILPjiIiIVDtTCwn5+fls3LiRQYMGlRyzWq0MGjSINWvW/On1TqeTuLg4du/ezSWXXHLOc/Ly8sjKyir1EHEHQzpFsnhiP1qE+nMsM5cbZ6xh3oZEs2OJiLi9lUXLGvq0CMHDZvp7MiIiItXO1NHvxIkT2O12wsPDSx0PDw8nOTn5vNdlZmZSr149vLy8GDp0KG+88QZXXHHFOc+dNm0aQUFBJY/GjRu79GcQMVPr8AAW39ePQe3Dybc7eHjBNh5dtI28QrvZ0URE3FZxf4R+2vZRRETqqFpZRg8ICGDz5s1s2LCB5557jsmTJ/PTTz+d89wpU6aQmZlZ8jh8+HD1hhWpYoE+nsy8tQcPXtEGiwU+XZfI6JlrScnKNTuaiIjbyS2w8+uhk4AKCSIiUnd5mPnNQ0NDsdlspKSklDqekpJCRETEea+zWq20atUKgK5du7Jz506mTZvGgAEDzjrX29sbb29vl+YWqWmsVgt/G9iaTtFBTJq7iU2JGQx9fSXv3NJd+5uLiLjQrwdPkl/oICLQh5YN/c2OIyIiYgpTZyR4eXnRo0cP4uLiSo45HA7i4uLo06dPme/jcDjIy1PXepHL2oWx5L7+tIsI4ER2HjfPXMuc1QdxOp1mRxMRcQvF/RH6tgrBYrGYnEZERMQcpi9tmDx5MrNmzWLOnDns3LmTCRMmkJOTw/jx4wEYO3YsU6ZMKTl/2rRpLFu2jISEBHbu3Mkrr7zCRx99xC233GLWjyBSozQL9WfhvX25pkskhQ4nTy75jQc/30JugfomiIhU1ur9RiGhv5Y1iIhIHWbq0gaAm266iePHjzN16lSSk5Pp2rUrS5cuLWnAmJiYiNX6e70jJyeHe++9l6SkJHx9fWnXrh0ff/wxN910k1k/gkiN4+flwRs3dyOmUX2mfbuThfFHiD90krsuacGo7o3w8bSZHVFEpNbJOJ3PtiOZgPojiIhI3WZx1rE5z1lZWQQFBZGZmUlgYKDZcUSq3Op9J/jbfzeRlpMPQIi/F+P6NuPW3k1p4O9lcjoR0bhUdmb/rpZuP8Y9H8fTKqweP0y+tNq/v4iI1Cxmj0tmMn1pg4hUrb6tQvn5n5fxxDUdiK7vS1pOPtOX7aHvCz/y5BfbSUw7bXZEEZFaobg/gpY1iIhIXadCgkgdUM/bgzv6N+enfwzg/0Z3pUNkIGcK7MxZc4gB/17OxE/i2XI4w+yYIiI12qp9aQD0bRlichIRERFzmd4jQUSqj6fNynVdo7k2JorV+9N4d0UCK/Yc5+ttx/h62zFimwfz10tbMKBNGFarupGLiBQ7knGGAydysFqgtwoJIiJSx6mQIFIHWSwW+rUKpV+rUHYey2LWLwks2XyUdQfSWXcgndZh9bjr4hZc1y0Kbw81ZhQRWVW0rCGmcX0CfTxNTiMiImIuLW0QqePaRwYy/cau/PLwZdx9SQvqeXuwNzWbfy7YysUvLuftn/aReabA7JgiIqYqLiT0a6n+CCIiIiokiAgAkUG+PHp1e1ZPuZwpV7UjItCH1FN5vLR0N32nxfHMVztIOqnGjCJS9zidzpL+CNr2UURERIUEEfkfgT6e/PXSlqz452W8ckMM7SICyMm3M3vlAS59+Scmzd3E9qJ91EVE6oI9KdmcyM7Dx9NK96b1zY4jIiJiOvVIEJFz8vKwMqpHI0Z2j+bnPceZ9UsCq/al8cXmo3yx+Sj9WoVw9yUtuaR1KBaLGjOKiPsqXtbQq1mw+saIiIigQoKI/AmLxcKAtmEMaBvG9iOZzFyRwNfbjrFqXxqr9qXRLiKAuy9pwbCYKDxtmuQkIu6nuJDQX8saREREAC1tEJFy6BQdxOs3d+OnhwYwvl8z/Lxs7Eo+xeTPtnDJS8uZtSKBU7lqzCgi7qPA7mBtgvojiIiI/JEKCSJSbo2D/XhyWEfWPDKQfwxuS8MAb45l5vLcNzvpO+1Hpn2zk+TMXLNjiohU2takDHLy7dT386RDZKDZcURERGoEFRJEpMKC/DyZeFkrVj58GS+O6kzLhv6cyivk3RUJXPzSjzz42RZ2J58yO6aISIWt3Fs0G6FlKFar+sGIiIiAeiSIiAt4e9i4qVcTbujRmOW7U3l3RQLrD6SzID6JBfFJXNqmIX+9pAV9WoaoMaOI1CrF/RH6tgoxOYmIiEjNoUKCiLiM1WphYPtwBrYPZ/PhDGau2M/S7cn8vOc4P+85TqfoQO6+pCVXd4rAQ40ZRaSGy8krZNPhk4AaLYqIiPyRXsmLSJXo2rg+b4/pwfKHBjC2T1N8PK1sP5LF/f/dxKUv/8R7Kw+Qk1dodkwRkfNafzCdAruT6Pq+NAn2MzuOiIhIjaFCgohUqaYh/jx9XSdWPzKQvw9qQ4i/F0cyzvD0Vzvo+8KPvPzdLlJPqTGjiNQ8q/+w7aOWZYmIiPxOhQQRqRbB/l5MGtSaVY9cznMjOtE81J/MMwW8tXw//V9YzsPzt7IvNdvsmCIiJVbuK2q02FrLGkRERP5IPRJEpFr5eNoYE9uU0b2asGxHCjNX7Cc+MYN5vx5m3q+HubxdGD2aNqBRA18aNfCjcQNfGgZ4691AEalWJ7Lz2HksC4C+LdVoUURE5I9USBARU9isFoZ0imBIpwg2Hkrn3Z8TWLYzhR93pfLjrtRS53p7WIkuKiwYBYbSzxvWU6FBRFxrzX5jNkK7iABC63mbnEZERKRmUSFBREzXo2kwM8cGs/94Nl9tOcah9BySTp7hyMkzHMs8Q16hg4TjOSQczznn9X8sNDQ+R8EhtJ6XCg0iUi6r/tAfQUREREpTIUFEaoyWDesxaVDrUscK7A6SM3M5fPI0SSfPFD2KnqefJjkrt0yFhtKzGIyPjYONjyH+KjSISGkriwoJ/VRIEBEROYsKCSJSo3narDQO9qPxebZeyy80Cg0lxYX/KTgcKyo07D+ew/7zFBp8PK3nWTahQoNIXZSYZvw74mG1cFHzYLPjiIiI1DgqJIhIreblYaVJiB9NQs5faDiWeeacRYakk2dIzsolt8DBvtTs8+4aUVxoaPw/RYamIX60bFgPXy9bVf6IIlLNimcjdGtSH39vvVQSERH5XxodRcSteXlYaRriT9MQ/3N+/Y+FhsPpZ89qSDl14UKDxQJNgv1oHRZA24h6tAkPoE14AC0a+uPtoQKDSG20ar+WNYiIiFyICgkiUqf9WaEhr9DOsYzcUgWGwydPczj9NAdO5HDydAGH0k5zKO00P+xMKbnOZrXQNMSPtuEBtA4PoG14AG3C69Es1B9Pm7W6fjwRKSeHw8lqNVoUERG5IBUSREQuwNvDRrNQf5qFnl1ocDqdnMjOZ2/KKfaknGJ3SjZ7U06xO+UUp3ILSxpAfrs9ueQaT5uFFqH1aB1er6TI0Ca8Hk1D/LFZ1YdBxGw7jmVx8nQB/l42YhrXNzuOiIhIjaRCgohIBVksFhoGeNMwwJu+f3jn0ul0kpKVx56iAoPxMIoMOfl2dhcVG77iWMk13h5WWjasR9uIAFqH16NNWABtIwKIru+LVQUGkWqzumhZQ2yLEM0eEhEROQ8VEkREXMxisRAR5ENEkA+XtGlYctzhcHI080xJYaG4yLAvNZvcAgc7jmWx41hWqXv5edloHVavZOZCcQ+GyCAf7SQhUgVW7ksD1B9BRETkQlRIEBGpJlarpWjXBz8ubxdectzucHI4/TR7Uk6xNzWb3clGgSHheA6n8+1sScpkS1JmqXsFeHsYMxeKCgttigoNDQO8VWAQl3nrrbd4+eWXSU5OJiYmhjfeeIOLLrrovOdnZGTw2GOPsXDhQtLT02natCmvvfYaV199NQD/+te/eOqpp0pd07ZtW3bt2lWlP0dZ5RXaWX+guJAQYnIaERGRmkuFBBERk9mslpI+DFd2/P14od3BwbTTJX0X9hbNYjhwIodTeYXEJ2YQn5hR6l71/TxpExZAm6IdJFqHGQWGBn5eWiIh5TJv3jwmT57MjBkziI2N5bXXXmPw4MHs3r2bsLCws87Pz8/niiuuICwsjPnz5xMdHc2hQ4eoX79+qfM6duzIDz/8UPK5h0fNeSmyKTGD3AIHofW8aBseYHYcERGRGqvmjN4iIlKKh81Kq7B6tAqrx1WdI0uO5xc6OHAip6i48HsPhkNpOWScLmD9wXTWH0w/636eNgteNiteHn942Kx4edjw8rDibfvf48bD+w/nn32OrdTn3mfdu/TXvP9wvppL1mzTp0/nrrvuYvz48QDMmDGDr7/+mvfee49HHnnkrPPfe+890tPTWb16NZ6engA0a9bsrPM8PDyIiIio0uwVtapot4a+LUM1s0dEROQCVEgQEallvDystI0wmjH+UW6BnX2p2exNLerBkHyKPamnOJx+BoACu5MCu52cfLsZsc9is1rOKjY08PfkuphobuzZmCA/T7Mj1ln5+fls3LiRKVOmlByzWq0MGjSINWvWnPOaJUuW0KdPHyZOnMgXX3xBw4YN+ctf/sLDDz+MzWYrOW/v3r1ERUXh4+NDnz59mDZtGk2aNKnyn6ksVmnbRxERkTJRIUFExE34eNroFB1Ep+igUsdzC+xk5xWSX+gwHnbjY97/fG48t5c8z/vfr53jmt/PsZ99r6LP/3iN0/l7LrvDyRmHnTMFvxc2jmScYfuRLKYv28PwbtHc1rfZWQUTqXonTpzAbrcTHh5e6nh4ePh5+xkkJCTw448/MmbMGL755hv27dvHvffeS0FBAU8++SQAsbGxfPDBB7Rt25Zjx47x1FNPcfHFF7N9+3YCAs7+3zkvL4+8vLySz7Oyss46x1WycgtKepH0a61CgoiIyIWokCAi4uZ8PG34eNr+/MQq5nQ6KXQ4SxcZCoziRXGxYeexU3y45iC7kk/x3/WJ/Hd9Ir1bBHNb3+YMah+Gh7bjq7EcDgdhYWHMnDkTm81Gjx49OHLkCC+//HJJIeGqq64qOb9Lly7ExsbStGlTPvvsM+64446z7jlt2rSzmjNWlXUJ6dgdTpqF+BFd37davqeIiEhtpUKCiIhUC4vFgqfNgqfNir/3uc/p1qQBN1/UmHUH0pmz+iDf/ZbM2oR01iakE13fl1t6N2V0r8Y08Peq3vB1TGhoKDabjZSUlFLHU1JSztvfIDIyEk9Pz1LLGNq3b09ycjL5+fl4eZ39v1n9+vVp06YN+/btO+c9p0yZwuTJk0s+z8rKonHjxhX5kf5U8bIGbfsoIiLy5/TWjoiI1CgWi4XeLUJ455Ye/PLw5UwY0JIGfp4cyTjDi0t30XtaHP+cv4Xfjmb++c2kQry8vOjRowdxcXElxxwOB3FxcfTp0+ec1/Tr1499+/bhcDhKju3Zs4fIyMhzFhEAsrOz2b9/P5GRkef8ure3N4GBgaUeVUX9EURERMpOhQQREamxouv78vCQdqyZMpCXr+9Cp+hA8godfPZrEkNfX8kNM1bz1dajFNgdf34zKZfJkycza9Ys5syZw86dO5kwYQI5OTkluziMHTu2VDPGCRMmkJ6ezqRJk9izZw9ff/01zz//PBMnTiw556GHHuLnn3/m4MGDrF69mhEjRmCz2bj55pur/ef7o5SsXPamZmOxQJ+WIaZmERERqQ20tEFERGo8H08bN/RszPU9GhGfeJIPVh/i223H2HDwJBsOniQi0IcxsU24ObYJofXOs25CyuWmm27i+PHjTJ06leTkZLp27crSpUtLGjAmJiZitf7+fkTjxo357rvv+Pvf/06XLl2Ijo5m0qRJPPzwwyXnJCUlcfPNN5OWlkbDhg3p378/a9eupWHDhtX+8/3R6v3GbIROUUHU99OyGRERkT9jcTr/2EPb/WVlZREUFERmZmaVTpEUEZGqlZKVyyfrEvl03SFOZOcD4GWzck2XSMb1bUZM4/rmBiwjjUtlV1W/qwc/28KC+CTuubQlj1zVzmX3FRER91aXx3DNSBARkVopPNCHyVe0YeJlLflm2zE+WH2ILYczWLjpCAs3HaFr4/rc1rcZV3eOxMtDK/nk3JxOZ8mMhH6ttKxBRESkLPTKSkREajVvDxsjujXii4n9WDyxHyO6ReNps7D5cAYPzNtM3xd+ZPqyPaRk5ZodVWqghBM5HMvMxcvDSq9mwWbHERERqRVUSBAREbfRtXF9Xr2pK6sfGcjkK9oQHujNiew8Xo/bS78XfuRv/93ExkPp1LFVfXIBxbs19GjSAB9P25+cLSIiIqClDSIi4oYaBnhz/8DWTBjQkqXbk5mz+iC/HjrJl1uO8uWWo3SKDmRcn2YMi4nSH491XMm2j6217aOIiEhZaUaCiIi4LU+blWExUcyf0Jev/tafG3o0wsvDyvYjWfxj/lb6vvAjLy3dxdGMM2ZHFRPYHU5W708DoF8rFRJERETKSoUEERGpEzpFB/HyDTGsnTKQfw5pS1SQD+k5+bz9034ufmk5Ez7eyNqENC17qEO2HcnkVG4hAT4edI4OMjuOiIhIraGlDSIiUqcE+3tx74BW3H1xC37YmcIHqw+yNiGdb7cn8+32ZNpFBDCubzOGd43G10vLHtxZ8bKGPi1CsFktJqcRERGpPVRIEBGROsnDZmVIp0iGdIpkV3IWc1YfYtGmJHYln2LKwm288O0uburVmFt7N6VxsJ/ZcaUKqD+CiIhIxWhpg4iI1HntIgKZNrIz66YM4rGr29M42JfMMwXMXJHAJS8v5845v7Jy7wkte3AjuQV2fj10EoC+LVVIEBERKQ/NSBARESkS5OfJXZe04Pb+zVm+K5U5aw7yy94T/LAzhR92ptAqrB7j+jRlZPdG+HtrCK3Nfj14kvxCBxGBPrRs6G92HBERkVpFr4JERET+h81qYVCHcAZ1CGdfajYfrjnIgo1J7EvN5okvfuOlpbu5vmcj7rusFSH1vM2OKxWwsmhZQ99WIVgs6o8gIiJSHlraICIicgGtwurx9HWdWPPoQJ4c1oHmof6cyitk7vrDeNg0jNZWq/cX9UfQto8iIiLlphkJIiIiZRDo48n4fs0Z16cZK/YeJ+nkGYJ8Pc2OJRX0/IjOrNx3Qo0WRUREKkCFBBERkXKwWi0MaBtmdgyppE7RQXSKDjI7hoiISK2kOZkiIiIiIiIiUmYqJIiIiIiIiIhImamQICIiIiIiIiJlpkKCiIiIiIiIiJSZCgkiIiIiIiIiUmYqJIiIiIiIiIhImamQICIiIiIiIiJlpkKCiIiIiIiIiJSZCgkiIiIiIiIiUmYqJIiIiIiIiIhImamQICIiIiIiIiJlpkKCiIiIiIiIiJSZCgkiIiIiIiIiUmYqJIiIiIiIiIhImamQICIiIiIiIiJl5mF2gOrmdDoByMrKMjmJiIjI7+NR8fgk56cxXEREapK6PIbXuULCqVOnAGjcuLHJSURERH536tQpgoKCzI5Ro2kMFxGRmqgujuEWZx0rnzgcDo4ePUpAQAAWi8XsONUmKyuLxo0bc/jwYQIDA82O4xb0O60a+r26nn6nrufK36nT6eTUqVNERUVhtWrF4YVoDNd/w66i36nr6XdaNfR7dT2N4a5R52YkWK1WGjVqZHYM0wQGBuofIRfT77Rq6Pfqevqdup6rfqd17V2MitIYrv+GXU2/U9fT77Rq6PfqehrDK6dulU1EREREREREpFJUSBARERERERGRMlMhoY7w9vbmySefxNvb2+wobkO/06qh36vr6XfqevqdSnXS/99cT79T19PvtGro9+p6+p26Rp1rtigiIiIiIiIiFacZCSIiIiIiIiJSZiokiIiIiIiIiEiZqZAgIiIiIiIiImWmQoKbmzZtGr169SIgIICwsDCGDx/O7t27zY7lVl544QUsFgsPPPCA2VFqtSNHjnDLLbcQEhKCr68vnTt35tdffzU7Vq1lt9t54oknaN68Ob6+vrRs2ZJnnnkGtcUpnxUrVjBs2DCioqKwWCwsXry41NedTidTp04lMjISX19fBg0axN69e80JK25HY3jV0vjtOhrDXUtjuGtoDK9aKiS4uZ9//pmJEyeydu1ali1bRkFBAVdeeSU5OTlmR3MLGzZs4N1336VLly5mR6nVTp48Sb9+/fD09OTbb79lx44dvPLKKzRo0MDsaLXWiy++yDvvvMObb77Jzp07efHFF3nppZd44403zI5Wq+Tk5BATE8Nbb711zq+/9NJLvP7668yYMYN169bh7+/P4MGDyc3Nreak4o40hlcdjd+uozHc9TSGu4bG8KqlXRvqmOPHjxMWFsbPP//MJZdcYnacWi07O5vu3bvz9ttv8+yzz9K1a1dee+01s2PVSo888girVq3il19+MTuK27jmmmsIDw9n9uzZJcdGjRqFr68vH3/8sYnJai+LxcKiRYsYPnw4YLyTERUVxYMPPshDDz0EQGZmJuHh4XzwwQeMHj3axLTijjSGu4bGb9fSGO56GsNdT2O462lGQh2TmZkJQHBwsMlJar+JEycydOhQBg0aZHaUWm/JkiX07NmTG264gbCwMLp168asWbPMjlWr9e3bl7i4OPbs2QPAli1bWLlyJVdddZXJydzHgQMHSE5OLvVvQFBQELGxsaxZs8bEZOKuNIa7hsZv19IY7noaw6uexvDK8zA7gFQfh8PBAw88QL9+/ejUqZPZcWq1uXPnEh8fz4YNG8yO4hYSEhJ45513mDx5Mo8++igbNmzg/vvvx8vLi3Hjxpkdr1Z65JFHyMrKol27dthsNux2O8899xxjxowxO5rbSE5OBiA8PLzU8fDw8JKvibiKxnDX0PjtehrDXU9jeNXTGF55KiTUIRMnTmT79u2sXLnS7Ci12uHDh5k0aRLLli3Dx8fH7DhuweFw0LNnT55//nkAunXrxvbt25kxY4ZehFTQZ599xieffMKnn35Kx44d2bx5Mw888ABRUVH6nYrUQhrDK0/jd9XQGO56GsOlNtDShjrivvvu46uvvmL58uU0atTI7Di12saNG0lNTaV79+54eHjg4eHBzz//zOuvv46Hhwd2u93siLVOZGQkHTp0KHWsffv2JCYmmpSo9vvHP/7BI488wujRo+ncuTO33norf//735k2bZrZ0dxGREQEACkpKaWOp6SklHxNxBU0hruGxu+qoTHc9TSGVz2N4ZWnQoKbczqd3HfffSxatIgff/yR5s2bmx2p1hs4cCDbtm1j8+bNJY+ePXsyZswYNm/ejM1mMztirdOvX7+ztjTbs2cPTZs2NSlR7Xf69Gms1tL/xNtsNhwOh0mJ3E/z5s2JiIggLi6u5FhWVhbr1q2jT58+JiYTd6Ex3LU0flcNjeGupzG86mkMrzwtbXBzEydO5NNPP+WLL74gICCgZM1PUFAQvr6+JqernQICAs5an+rv709ISIjWrVbQ3//+d/r27cvzzz/PjTfeyPr165k5cyYzZ840O1qtNWzYMJ577jmaNGlCx44d2bRpE9OnT+f22283O1qtkp2dzb59+0o+P3DgAJs3byY4OJgmTZrwwAMP8Oyzz9K6dWuaN2/OE088QVRUVElXaJHK0BjuWhq/q4bGcNfTGO4aGsOrmFPcGnDOx/vvv292NLdy6aWXOidNmmR2jFrtyy+/dHbq1Mnp7e3tbNeunXPmzJlmR6rVsrKynJMmTXI2adLE6ePj42zRooXzsccec+bl5ZkdrVZZvnz5Of8NHTdunNPpdDodDofziSeecIaHhzu9vb2dAwcOdO7evdvc0OI2NIZXPY3frqEx3LU0hruGxvCqZXE6nc7qLFyIiIiIiIiISO2lHgkiIiIiIiIiUmYqJIiIiIiIiIhImamQICIiIiIiIiJlpkKCiIiIiIiIiJSZCgkiIiIiIiIiUmYqJIiIiIiIiIhImamQICIiIiIiIiJlpkKCiIiIiIiIiJSZCgkiUuUsFguLFy82O4aIiIiUk8ZwETkXFRJE3Nxtt92GxWI56zFkyBCzo4mIiMgFaAwXkZrKw+wAIlL1hgwZwvvvv1/qmLe3t0lpREREpKw0hotITaQZCSJ1gLe3NxEREaUeDRo0AIwpi++88w5XXXUVvr6+tGjRgvnz55e6ftu2bVx++eX4+voSEhLC3XffTXZ2dqlz3nvvPTp27Ii3tzeRkZHcd999pb5+4sQJRowYgZ+fH61bt2bJkiUlXzt58iRjxoyhYcOG+Pr60rp167NeNImIiNRFGsNFpCZSIUFEeOKJJxg1ahRbtmxhzJgxjB49mp07dwKQk5PD4MGDadCgARs2bODzzz/nhx9+KPUi45133mHixIncfffdbNu2jSVLltCqVatS3+Opp57ixhtvZOvWrVx99dWMGTOG9PT0ku+/Y8cOvv32W3bu3Mk777xDaGho9f0CREREaimN4SJiCqeIuLVx48Y5bTab09/fv9TjueeeczqdTifgvOeee0pdExsb65wwYYLT6XQ6Z86c6WzQoIEzOzu75Otff/2102q1OpOTk51Op9MZFRXlfOyxx86bAXA+/vjjJZ9nZ2c7Aee3337rdDqdzmHDhjnHjx/vmh9YRETETWgMF5GaSj0SROqAyy67jHfeeafUseDg4JLnffr0KfW1Pn36sHnzZgB27txJTEwM/v7+JV/v168fDoeD3bt3Y7FYOHr0KAMHDrxghi5dupQ89/f3JzAwkNTUVAAmTJjAqFGjiI+P58orr2T48OH07du3Qj+riIiIO9EYLiI1kQoJInWAv7//WdMUXcXX17dM53l6epb63GKx4HA4ALjqqqs4dOgQ33zzDcuWLWPgwIFMnDiRf//73y7PKyIiUptoDBeRmkg9EkSEtWvXnvV5+/btAWjfvj1btmwhJyen5OurVq3CarXStm1bAgICaNasGXFxcZXK0LBhQ8aNG8fHH3/Ma6+9xsyZMyt1PxERkbpAY7iImEEzEkTqgLy8PJKTk0sd8/DwKGmG9Pnnn9OzZ0/69+/PJ598wvr165k9ezYAY8aM4cknn2TcuHH861//4vjx4/ztb3/j1ltvJTw8HIB//etf3HPPPYSFhXHVVVdx6tQpVq1axd/+9rcy5Zs6dSo9evSgY8eO5OXl8dVXX5W8CBIREanLNIaLSE2kQoJIHbB06VIiIyNLHWvbti27du0CjG7Mc+fO5d577yUyMpL//ve/dOjQAQA/Pz++++47Jk2aRK9evfDz82PUqFFMnz695F7jxo0jNzeXV199lYceeojQ0FCuv/76Mufz8vJiypQpHDx4EF9fXy6++GLmzp3rgp9cRESkdtMYLiI1kcXpdDrNDiEi5rFYLCxatIjhw4ebHUVERETKQWO4iJhFPRJEREREREREpMxUSBARERERERGRMtPSBhEREREREREpM81IEBEREREREZEyUyFBRERERERERMpMhQQRERERERERKTMVEkRERERERESkzFRIEBEREREREZEyUyFBRERERERERMpMhQQRERERERERKTMVEkRERERERESkzFRIEBEREREREZEy+39oRt/BW9sPDwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with HIDDEN_DIM=256, N_LAYERS=2, DROPOUT=0.5\n",
            "Epoch: 01 | Epoch Time: 0m 38s\n",
            "\tTrain Loss: 0.658 | Train Acc: 60.42%\n",
            "\t Val. Loss: 0.598 |  Val. Acc: 70.49%\n",
            "Epoch: 02 | Epoch Time: 0m 39s\n",
            "\tTrain Loss: 0.531 | Train Acc: 73.24%\n",
            "\t Val. Loss: 0.492 |  Val. Acc: 76.01%\n",
            "Epoch: 03 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.402 | Train Acc: 82.03%\n",
            "\t Val. Loss: 0.457 |  Val. Acc: 77.92%\n",
            "Epoch: 04 | Epoch Time: 0m 38s\n",
            "\tTrain Loss: 0.355 | Train Acc: 84.60%\n",
            "\t Val. Loss: 0.426 |  Val. Acc: 80.72%\n",
            "Epoch: 05 | Epoch Time: 0m 38s\n",
            "\tTrain Loss: 0.323 | Train Acc: 86.02%\n",
            "\t Val. Loss: 0.447 |  Val. Acc: 80.63%\n",
            "Epoch: 06 | Epoch Time: 0m 37s\n",
            "\tTrain Loss: 0.299 | Train Acc: 87.24%\n",
            "\t Val. Loss: 0.500 |  Val. Acc: 78.59%\n",
            "Epoch: 07 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.292 | Train Acc: 87.30%\n",
            "\t Val. Loss: 0.454 |  Val. Acc: 80.58%\n",
            "Epoch: 08 | Epoch Time: 0m 38s\n",
            "\tTrain Loss: 0.277 | Train Acc: 87.84%\n",
            "\t Val. Loss: 0.482 |  Val. Acc: 80.39%\n",
            "Epoch: 09 | Epoch Time: 0m 38s\n",
            "\tTrain Loss: 0.260 | Train Acc: 88.75%\n",
            "\t Val. Loss: 0.533 |  Val. Acc: 79.68%\n",
            "Epoch: 10 | Epoch Time: 0m 36s\n",
            "\tTrain Loss: 0.252 | Train Acc: 88.84%\n",
            "\t Val. Loss: 0.483 |  Val. Acc: 81.11%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with HIDDEN_DIM=256, N_LAYERS=3, DROPOUT=0.3\n",
            "Epoch: 01 | Epoch Time: 1m 1s\n",
            "\tTrain Loss: 0.657 | Train Acc: 61.80%\n",
            "\t Val. Loss: 0.603 |  Val. Acc: 67.68%\n",
            "Epoch: 02 | Epoch Time: 0m 59s\n",
            "\tTrain Loss: 0.504 | Train Acc: 75.26%\n",
            "\t Val. Loss: 0.496 |  Val. Acc: 76.63%\n",
            "Epoch: 03 | Epoch Time: 0m 59s\n",
            "\tTrain Loss: 0.384 | Train Acc: 82.27%\n",
            "\t Val. Loss: 0.441 |  Val. Acc: 79.10%\n",
            "Epoch: 04 | Epoch Time: 0m 58s\n",
            "\tTrain Loss: 0.328 | Train Acc: 85.61%\n",
            "\t Val. Loss: 0.442 |  Val. Acc: 80.53%\n",
            "Epoch: 05 | Epoch Time: 0m 59s\n",
            "\tTrain Loss: 0.293 | Train Acc: 87.32%\n",
            "\t Val. Loss: 0.507 |  Val. Acc: 81.58%\n",
            "Epoch: 06 | Epoch Time: 0m 58s\n",
            "\tTrain Loss: 0.286 | Train Acc: 87.50%\n",
            "\t Val. Loss: 0.429 |  Val. Acc: 81.72%\n",
            "Epoch: 07 | Epoch Time: 0m 59s\n",
            "\tTrain Loss: 0.263 | Train Acc: 88.91%\n",
            "\t Val. Loss: 0.515 |  Val. Acc: 81.06%\n",
            "Epoch: 08 | Epoch Time: 0m 59s\n",
            "\tTrain Loss: 0.243 | Train Acc: 89.63%\n",
            "\t Val. Loss: 0.486 |  Val. Acc: 81.30%\n",
            "Epoch: 09 | Epoch Time: 0m 58s\n",
            "\tTrain Loss: 0.232 | Train Acc: 90.22%\n",
            "\t Val. Loss: 0.500 |  Val. Acc: 82.29%\n",
            "Epoch: 10 | Epoch Time: 0m 57s\n",
            "\tTrain Loss: 0.234 | Train Acc: 90.37%\n",
            "\t Val. Loss: 0.508 |  Val. Acc: 83.10%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training with HIDDEN_DIM=256, N_LAYERS=3, DROPOUT=0.5\n",
            "Epoch: 01 | Epoch Time: 0m 57s\n",
            "\tTrain Loss: 0.655 | Train Acc: 61.17%\n",
            "\t Val. Loss: 0.614 |  Val. Acc: 67.73%\n",
            "Epoch: 02 | Epoch Time: 0m 59s\n",
            "\tTrain Loss: 0.535 | Train Acc: 73.07%\n",
            "\t Val. Loss: 0.469 |  Val. Acc: 77.39%\n",
            "Epoch: 03 | Epoch Time: 0m 57s\n",
            "\tTrain Loss: 0.403 | Train Acc: 81.12%\n",
            "\t Val. Loss: 0.449 |  Val. Acc: 79.15%\n",
            "Epoch: 04 | Epoch Time: 0m 58s\n",
            "\tTrain Loss: 0.339 | Train Acc: 84.93%\n",
            "\t Val. Loss: 0.458 |  Val. Acc: 79.06%\n",
            "Epoch: 05 | Epoch Time: 0m 56s\n",
            "\tTrain Loss: 0.319 | Train Acc: 86.07%\n",
            "\t Val. Loss: 0.440 |  Val. Acc: 79.63%\n",
            "Epoch: 06 | Epoch Time: 0m 57s\n",
            "\tTrain Loss: 0.295 | Train Acc: 87.02%\n",
            "\t Val. Loss: 0.437 |  Val. Acc: 81.25%\n",
            "Epoch: 07 | Epoch Time: 0m 56s\n",
            "\tTrain Loss: 0.293 | Train Acc: 87.18%\n",
            "\t Val. Loss: 0.476 |  Val. Acc: 80.20%\n",
            "Epoch: 08 | Epoch Time: 0m 57s\n",
            "\tTrain Loss: 0.267 | Train Acc: 88.46%\n",
            "\t Val. Loss: 0.456 |  Val. Acc: 80.01%\n",
            "Epoch: 09 | Epoch Time: 0m 55s\n",
            "\tTrain Loss: 0.263 | Train Acc: 88.97%\n",
            "\t Val. Loss: 0.445 |  Val. Acc: 81.67%\n",
            "Epoch: 10 | Epoch Time: 0m 56s\n",
            "\tTrain Loss: 0.254 | Train Acc: 88.87%\n",
            "\t Val. Loss: 0.496 |  Val. Acc: 82.01%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "k6SEJ1ro5uGA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "1WHJ0IsU5uJi"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Final RNN model\n",
        "\n",
        "- hidden-dim = 256\n",
        "- n-layers = 2\n",
        "- dropout = 0.3\n",
        "- optim = Adam\n",
        "- loss Function = BCELogistsloss()\n",
        "- learning-rate = 0.001"
      ],
      "metadata": {
        "id": "6QFajEGCvtwG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "INPUT_DIM = word_embedding.vectors.shape[0]\n",
        "EMBEDDING_DIM = 100\n",
        "HIDDEN_DIM = 256\n",
        "N_LAYERS = 2\n",
        "BIDIRECTIONAL = True\n",
        "DROPOUT = 0.3\n",
        "PAD_IDX = vocab[\"<pad>\"]\n",
        "UNK_IDX = vocab[\"<unk>\"]\n",
        "\n",
        "model = RNN(INPUT_DIM,\n",
        "            EMBEDDING_DIM,\n",
        "            HIDDEN_DIM,\n",
        "            N_LAYERS,\n",
        "            BIDIRECTIONAL,\n",
        "            DROPOUT,\n",
        "            PAD_IDX)\n",
        "model.embedding.weight.data.copy_(word_embedding.vectors)\n",
        "model.embedding.weight.data[UNK_IDX] = torch.zeros(EMBEDDING_DIM)\n",
        "model.embedding.weight.data[PAD_IDX] = torch.zeros(EMBEDDING_DIM)"
      ],
      "metadata": {
        "id": "eblwEyA85tCS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.to(device)"
      ],
      "metadata": {
        "id": "K5wOi00jlvug",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e6820bc8-b2ff-4715-fd54-173fc7de25f2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RNN(\n",
              "  (embedding): Embedding(6250, 100, padding_idx=0)\n",
              "  (rnn): LSTM(100, 256, num_layers=2, dropout=0.3, bidirectional=True)\n",
              "  (fc): Linear(in_features=512, out_features=1, bias=True)\n",
              "  (dropout): Dropout(p=0.3, inplace=False)\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Khởi tạo optimizer và hàm loss\n",
        "optimizer = optim.Adam(model.parameters(), lr = 0.001)\n",
        "criterion = nn.BCEWithLogitsLoss().to(device)"
      ],
      "metadata": {
        "id": "8mAD8RPplvxA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_losses = []\n",
        "train_accs = []\n",
        "val_losses = []\n",
        "val_accs = []\n",
        "best_valid_loss = float(\"inf\")\n",
        "\n",
        "for epoch in range(15):\n",
        "  start_time = time.time()\n",
        "\n",
        "  train_loss, train_acc = train(model, train_dataloader, optimizer, criterion, device)\n",
        "  valid_loss, valid_acc = evaluate(model, valid_dataloader, criterion, device)\n",
        "\n",
        "  train_losses.append(train_loss)\n",
        "  train_accs.append(train_acc)\n",
        "  val_losses.append(valid_loss)\n",
        "  val_accs.append(valid_acc)\n",
        "\n",
        "  end_time = time.time()\n",
        "\n",
        "  epoch_mins, epoch_secs = epoch_time(start_time, end_time)\n",
        "\n",
        "  if valid_loss < best_valid_loss:\n",
        "      best_valid_loss = valid_loss\n",
        "      torch.save(model.state_dict(), \"Best_model_RNN.pt\")\n",
        "\n",
        "  print(f\"Epoch: {epoch+1:02} | Epoch Time: {epoch_mins}m {epoch_secs}s\")\n",
        "  print(f\"\\tTrain Loss: {train_loss:.3f} | Train Acc: {train_acc*100:.2f}%\")\n",
        "  print(f\"\\t Val. Loss: {valid_loss:.3f} |  Val. Acc: {valid_acc*100:.2f}%\")"
      ],
      "metadata": {
        "id": "ZD_hWbrjlvz_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "036ded4e-7882-4548-f55d-9f09e779841b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: 01 | Epoch Time: 0m 2s\n",
            "\tTrain Loss: 0.655 | Train Acc: 61.38%\n",
            "\t Val. Loss: 0.594 |  Val. Acc: 68.82%\n",
            "Epoch: 02 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.491 | Train Acc: 76.38%\n",
            "\t Val. Loss: 0.434 |  Val. Acc: 78.91%\n",
            "Epoch: 03 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.375 | Train Acc: 82.85%\n",
            "\t Val. Loss: 0.415 |  Val. Acc: 81.55%\n",
            "Epoch: 04 | Epoch Time: 0m 1s\n",
            "\tTrain Loss: 0.324 | Train Acc: 85.87%\n",
            "\t Val. Loss: 0.399 |  Val. Acc: 82.73%\n",
            "Epoch: 05 | Epoch Time: 0m 1s\n",
            "\tTrain Loss: 0.301 | Train Acc: 86.63%\n",
            "\t Val. Loss: 0.433 |  Val. Acc: 81.18%\n",
            "Epoch: 06 | Epoch Time: 0m 1s\n",
            "\tTrain Loss: 0.273 | Train Acc: 88.31%\n",
            "\t Val. Loss: 0.442 |  Val. Acc: 81.73%\n",
            "Epoch: 07 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.268 | Train Acc: 88.12%\n",
            "\t Val. Loss: 0.440 |  Val. Acc: 81.36%\n",
            "Epoch: 08 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.258 | Train Acc: 88.35%\n",
            "\t Val. Loss: 0.484 |  Val. Acc: 81.36%\n",
            "Epoch: 09 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.235 | Train Acc: 89.56%\n",
            "\t Val. Loss: 0.550 |  Val. Acc: 81.91%\n",
            "Epoch: 10 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.231 | Train Acc: 89.88%\n",
            "\t Val. Loss: 0.540 |  Val. Acc: 81.00%\n",
            "Epoch: 11 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.233 | Train Acc: 89.48%\n",
            "\t Val. Loss: 0.572 |  Val. Acc: 81.27%\n",
            "Epoch: 12 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.220 | Train Acc: 90.23%\n",
            "\t Val. Loss: 0.585 |  Val. Acc: 81.09%\n",
            "Epoch: 13 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.218 | Train Acc: 90.42%\n",
            "\t Val. Loss: 0.526 |  Val. Acc: 81.82%\n",
            "Epoch: 14 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.220 | Train Acc: 90.31%\n",
            "\t Val. Loss: 0.545 |  Val. Acc: 81.64%\n",
            "Epoch: 15 | Epoch Time: 0m 0s\n",
            "\tTrain Loss: 0.210 | Train Acc: 90.35%\n",
            "\t Val. Loss: 0.554 |  Val. Acc: 81.55%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ZuEOQGozlv25"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(model)"
      ],
      "metadata": {
        "id": "pM3pbSn55tWY",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "62165545-6a97-4ff2-f4df-f5c8748caad8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "RNN(\n",
            "  (embedding): Embedding(6250, 100, padding_idx=0)\n",
            "  (rnn): LSTM(100, 256, num_layers=2, dropout=0.3, bidirectional=True)\n",
            "  (fc): Linear(in_features=512, out_features=1, bias=True)\n",
            "  (dropout): Dropout(p=0.3, inplace=False)\n",
            ")\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "7JxqnEM6Rt9x"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LUyVw6Yw7eru"
      },
      "source": [
        "# 9. Test the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bQTUTTo28sGD"
      },
      "outputs": [],
      "source": [
        "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
        "\n",
        "def predict_sentiment(model, sentence, vocab, device):\n",
        "    model.eval()\n",
        "    corpus = [sentence]\n",
        "    tensor = vocab.corpus_to_tensor(corpus)[0].to(device)\n",
        "    tensor = tensor.unsqueeze(1)\n",
        "    length = [len(tensor)]\n",
        "    length_tensor = torch.LongTensor(length)\n",
        "    prediction = torch.sigmoid(model(tensor, length_tensor))\n",
        "    return prediction.item()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lKxSmMbO929G",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0787b04b-0e3c-4166-fa83-c87664b93d8f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'negative': 0, 'positive': 1}"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ],
      "source": [
        "dataset.sentiment2id"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "hSR30dMtNtCT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_excel(\"/content/testDataSentiment.xlsx\")"
      ],
      "metadata": {
        "id": "AhBpNYPcNtFQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def pred(text):\n",
        "  pred = predict_sentiment(model, text, vocab, device)\n",
        "  if pred >= 0.5 : return \"positive\"\n",
        "  else : return \"negative\""
      ],
      "metadata": {
        "id": "LSj3X9Y9NtIe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"pred\"] = df[\"vi_review\"].apply(pred)"
      ],
      "metadata": {
        "id": "2nPpsDb6NtL3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "WirTaZdZOwb_",
        "outputId": "99075489-f569-448f-e53a-a88f82222f49"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    sentiment                                          vi_review      pred\n",
              "0    negative                              xin vd chua cap đc kh  negative\n",
              "1    positive  Bảo Ngọc chắc có mỗi mình Nhật Minh là tán ngư...  negative\n",
              "2    negative                                     xem và im lặng  positive\n",
              "3    positive  màn hình điện thoại bên dưói sáng cũng k kém g...  negative\n",
              "4    negative      Khong cần sự giàu có . Chỉ muốn kh mắc nợ aii  negative\n",
              "..        ...                                                ...       ...\n",
              "253  negative                         kiểu kh hi vọng gì nhiều..  negative\n",
              "254  negative  Tôi mệt khi tất cả tôi chịu đựng không một ai ...  negative\n",
              "255  negative                                      Rồi là vui zữ  negative\n",
              "256  positive                              @Gió nhưng ko bằng em  negative\n",
              "257  positive               @Dieudiudang đu trend với mỡ nè haha  positive\n",
              "\n",
              "[258 rows x 3 columns]"
            ],
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sentiment</th>\n",
              "      <th>vi_review</th>\n",
              "      <th>pred</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>negative</td>\n",
              "      <td>xin vd chua cap đc kh</td>\n",
              "      <td>negative</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>positive</td>\n",
              "      <td>Bảo Ngọc chắc có mỗi mình Nhật Minh là tán ngư...</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>negative</td>\n",
              "      <td>xem và im lặng</td>\n",
              "      <td>positive</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>positive</td>\n",
              "      <td>màn hình điện thoại bên dưói sáng cũng k kém g...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>negative</td>\n",
              "      <td>Khong cần sự giàu có . Chỉ muốn kh mắc nợ aii</td>\n",
              "      <td>negative</td>\n",
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              "    <tr>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>254</th>\n",
              "      <td>negative</td>\n",
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              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>255</th>\n",
              "      <td>negative</td>\n",
              "      <td>Rồi là vui zữ</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>256</th>\n",
              "      <td>positive</td>\n",
              "      <td>@Gió nhưng ko bằng em</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>257</th>\n",
              "      <td>positive</td>\n",
              "      <td>@Dieudiudang đu trend với mỡ nè haha</td>\n",
              "      <td>positive</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>258 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      buttonEl.style.display =\n",
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              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "type": "dataframe",
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              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 258,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"positive\",\n          \"negative\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vi_review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 257,\n        \"samples\": [\n          \"nh\\u1eefng cu\\u1ed1n s\\u00e1ch \\u00fd ngh\\u0129a, ai r\\u1ed3i c\\u0169ng s\\u1ebd b\\u00ecnh y\\u00ean\",\n          \"nghe m\\u00e0 n\\u1ed5i da g\\u00e0  smiling-face-with-hearts  smiling-face-with-hearts  hay thi\\u1ec7t \\u0111\\u00f3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pred\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"positive\",\n          \"negative\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          "metadata": {},
          "execution_count": 96
        }
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    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "mIqPMUa2OwfV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pre = df[df[\"sentiment\"] != df[\"pred\"]]"
      ],
      "metadata": {
        "id": "7HhvXCgAPmcY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pre"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
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        "id": "cixjxE9LQKBl",
        "outputId": "e1e95fee-584c-4a2b-eae7-62c232b6989e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    sentiment                                          vi_review      pred\n",
              "1    positive  Bảo Ngọc chắc có mỗi mình Nhật Minh là tán ngư...  negative\n",
              "2    negative                                     xem và im lặng  positive\n",
              "3    positive  màn hình điện thoại bên dưói sáng cũng k kém g...  negative\n",
              "27   positive                                        chào cả nhà  negative\n",
              "41   positive                pam với khuôn mặt smiling (( heart   negative\n",
              "47   negative                             xin cap nhé thumbs-up   positive\n",
              "51   positive  mik áp dụng vào thực tế thì cô ấy bảo là ak mê...  negative\n",
              "53   negative       T nhận chửi lộn dùm nha, nghe ghét cđ này qá  positive\n",
              "61   negative                      Nhìn xót dùm c pleading-face   positive\n",
              "68   positive              thật ý nghĩa ... bạn đọc chậm hơn ...  negative\n",
              "80   negative                         Thấy thương  flushed-face   positive\n",
              "84   positive  buôn bỏ những thứ không tốt.thu nhặt, kiến thứ...  negative\n",
              "93   positive                Đúng vậy sao phải buồn vì thứ bỏ đi  negative\n",
              "98   negative                              Tên bài hát là gì vậy  positive\n",
              "99   negative  @hồngngọc_2011 tulip  vd này nè lưu giùm r gửi...  positive\n",
              "107  negative     Ngoc Phuong giúp bạn này đi sinh viên nhân văn  positive\n",
              "109  negative              @Hiếu Phạm dạo này suy nghĩ nhiều quá  positive\n",
              "115  negative                        Nhạc hay disappointed-face   positive\n",
              "118  negative  hôm nay sinh nhật mình mn đi qua để lại 1 lời ...  positive\n",
              "122  negative                                      Đau lòng thật  positive\n",
              "130  negative         người đan ông như thê bo la vừa rôi ban ơi  positive\n",
              "144  negative  hiện tượng này gây nên rối loạn lo âu, dẫn đến...  positive\n",
              "146  negative                              Đ!tcu thangcungan.hết  positive\n",
              "160  negative                                    Over thinh king  positive\n",
              "162  positive  Nhưng mà tóm lại là cái app nó để làm cái gì? ...  negative\n",
              "163  negative                                  béo là người hưak  positive\n",
              "164  negative  Thật sự bản thân rất rất mệt mỏi nhưng chẳng b...  positive\n",
              "170  negative                                @NBS•BonLiVŇ• đc ko  positive\n",
              "177  negative          bây h c xinh đẹp và thành công e hâm mộ c  positive\n",
              "182  negative                              @Mỹ ngân 🥀 cho tao ik  positive\n",
              "185  negative                       @Ánh Huyền💐 ciểu như này nek  positive\n",
              "188  positive  dung nhu cau tan mà ko phe. cam on ban da giup...  negative\n",
              "199  negative                    thật chạnh lòng  relieved-face   positive\n",
              "210  positive                 Mỹ Huyền chuyên gia cho lời khuyên  negative\n",
              "213  positive                                  ko biết tả sao đc  negative\n",
              "223  negative  kk ko mạnh mẽ thì ai bảo vệ e đây hugging-face...  positive\n",
              "225  positive                             cho mình xin video nha  negative\n",
              "228  negative   loudly-crying-face  loudly-crying-face  loudl...  positive\n",
              "241  negative                cười nhạt một cái rồi mai tính tiếp  positive\n",
              "242  negative                                            Xin loi  positive\n",
              "256  positive                              @Gió nhưng ko bằng em  negative"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sentiment</th>\n",
              "      <th>vi_review</th>\n",
              "      <th>pred</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>positive</td>\n",
              "      <td>Bảo Ngọc chắc có mỗi mình Nhật Minh là tán ngư...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>negative</td>\n",
              "      <td>xem và im lặng</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>positive</td>\n",
              "      <td>màn hình điện thoại bên dưói sáng cũng k kém g...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>positive</td>\n",
              "      <td>chào cả nhà</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>positive</td>\n",
              "      <td>pam với khuôn mặt smiling (( heart</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>negative</td>\n",
              "      <td>xin cap nhé thumbs-up</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>positive</td>\n",
              "      <td>mik áp dụng vào thực tế thì cô ấy bảo là ak mê...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>negative</td>\n",
              "      <td>T nhận chửi lộn dùm nha, nghe ghét cđ này qá</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>negative</td>\n",
              "      <td>Nhìn xót dùm c pleading-face</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>positive</td>\n",
              "      <td>thật ý nghĩa ... bạn đọc chậm hơn ...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>negative</td>\n",
              "      <td>Thấy thương  flushed-face</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>positive</td>\n",
              "      <td>buôn bỏ những thứ không tốt.thu nhặt, kiến thứ...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>positive</td>\n",
              "      <td>Đúng vậy sao phải buồn vì thứ bỏ đi</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>negative</td>\n",
              "      <td>Tên bài hát là gì vậy</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>negative</td>\n",
              "      <td>@hồngngọc_2011 tulip  vd này nè lưu giùm r gửi...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>107</th>\n",
              "      <td>negative</td>\n",
              "      <td>Ngoc Phuong giúp bạn này đi sinh viên nhân văn</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109</th>\n",
              "      <td>negative</td>\n",
              "      <td>@Hiếu Phạm dạo này suy nghĩ nhiều quá</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115</th>\n",
              "      <td>negative</td>\n",
              "      <td>Nhạc hay disappointed-face</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118</th>\n",
              "      <td>negative</td>\n",
              "      <td>hôm nay sinh nhật mình mn đi qua để lại 1 lời ...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122</th>\n",
              "      <td>negative</td>\n",
              "      <td>Đau lòng thật</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130</th>\n",
              "      <td>negative</td>\n",
              "      <td>người đan ông như thê bo la vừa rôi ban ơi</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>144</th>\n",
              "      <td>negative</td>\n",
              "      <td>hiện tượng này gây nên rối loạn lo âu, dẫn đến...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146</th>\n",
              "      <td>negative</td>\n",
              "      <td>Đ!tcu thangcungan.hết</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>negative</td>\n",
              "      <td>Over thinh king</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>162</th>\n",
              "      <td>positive</td>\n",
              "      <td>Nhưng mà tóm lại là cái app nó để làm cái gì? ...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163</th>\n",
              "      <td>negative</td>\n",
              "      <td>béo là người hưak</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>164</th>\n",
              "      <td>negative</td>\n",
              "      <td>Thật sự bản thân rất rất mệt mỏi nhưng chẳng b...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>negative</td>\n",
              "      <td>@NBS•BonLiVŇ• đc ko</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>177</th>\n",
              "      <td>negative</td>\n",
              "      <td>bây h c xinh đẹp và thành công e hâm mộ c</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>182</th>\n",
              "      <td>negative</td>\n",
              "      <td>@Mỹ ngân 🥀 cho tao ik</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>negative</td>\n",
              "      <td>@Ánh Huyền💐 ciểu như này nek</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>positive</td>\n",
              "      <td>dung nhu cau tan mà ko phe. cam on ban da giup...</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>199</th>\n",
              "      <td>negative</td>\n",
              "      <td>thật chạnh lòng  relieved-face</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>positive</td>\n",
              "      <td>Mỹ Huyền chuyên gia cho lời khuyên</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>213</th>\n",
              "      <td>positive</td>\n",
              "      <td>ko biết tả sao đc</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>223</th>\n",
              "      <td>negative</td>\n",
              "      <td>kk ko mạnh mẽ thì ai bảo vệ e đây hugging-face...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>225</th>\n",
              "      <td>positive</td>\n",
              "      <td>cho mình xin video nha</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>228</th>\n",
              "      <td>negative</td>\n",
              "      <td>loudly-crying-face  loudly-crying-face  loudl...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>241</th>\n",
              "      <td>negative</td>\n",
              "      <td>cười nhạt một cái rồi mai tính tiếp</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>242</th>\n",
              "      <td>negative</td>\n",
              "      <td>Xin loi</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>256</th>\n",
              "      <td>positive</td>\n",
              "      <td>@Gió nhưng ko bằng em</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "\n",
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              "\n",
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              "\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-07b961ba-deb5-47ec-8116-8e797f852569 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-07b961ba-deb5-47ec-8116-8e797f852569');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "<style>\n",
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              "      --bg-color: #E8F0FE;\n",
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              "\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
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              "      let quickchartButtonEl =\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_9974c085-1520-455c-a6e4-3084107c968f\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('pre')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_9974c085-1520-455c-a6e4-3084107c968f button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('pre');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "pre",
              "summary": "{\n  \"name\": \"pre\",\n  \"rows\": 41,\n  \"fields\": [\n    {\n      \"column\": \"sentiment\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"negative\",\n          \"positive\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vi_review\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 41,\n        \"samples\": [\n          \"Nh\\u01b0ng m\\u00e0 t\\u00f3m l\\u1ea1i l\\u00e0 c\\u00e1i app n\\u00f3 \\u0111\\u1ec3 l\\u00e0m c\\u00e1i g\\u00ec? Chat \\u0111\\u1ec3 gi\\u1ea3i stress??\",\n          \"T\\u00ean b\\u00e0i h\\u00e1t l\\u00e0 g\\u00ec v\\u1eady\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"pred\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"positive\",\n          \"negative\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f\"Acc of test dataset is {round(100 -(len(pre) / len(df))*100,2)}%\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t3M_aPLJPmfO",
        "outputId": "cebaaf9c-9876-4906-e933-3ec68a853260"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Acc of test dataset is 84.11%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "2ABrqMNlPmiM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_t1RsNxrPmlf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install gradio"
      ],
      "metadata": {
        "id": "I44686ez1s-z"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import gradio as gr"
      ],
      "metadata": {
        "id": "jhQZB3pr1Opc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def predict(text):\n",
        "  pre = predict_sentiment(model, text, vocab, device)\n",
        "  return {'Positive':(pre),\n",
        "          \"Negative\": (1- (pre))}\n"
      ],
      "metadata": {
        "id": "EcdPLHzY3ZHA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "demo = gr.Interface(\n",
        "    fn=predict,\n",
        "    inputs=gr.components.Textbox(label='Input query'),\n",
        "    outputs=gr.components.Label(label='Predictions'),\n",
        "    allow_flagging='never'\n",
        ")\n",
        "\n",
        "demo.launch(share=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 611
        },
        "id": "Ce5qrrQN1OsG",
        "outputId": "6fc835b7-6275-48dc-f869-54b3f259f720"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Running on public URL: https://93296d8663250fa6df.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<div><iframe src=\"https://93296d8663250fa6df.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 121
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "J2ZLFakY3-9K"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "filtered_df = df[df['sentiment']!=df['prediction']]"
      ],
      "metadata": {
        "id": "Ovy9pPeGBBzS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "filtered_df.to_excel(\"WrongPred.xlsx\")"
      ],
      "metadata": {
        "id": "S6HE-Ri_BB1g"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(filtered_df)"
      ],
      "metadata": {
        "id": "X-MTq8XFBB5C",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7d80ed96-2d94-4cf6-8862-7c3039ddf810"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "42"
            ]
          },
          "metadata": {},
          "execution_count": 133
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "uHzp93EDCgqc"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}