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      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tr3vB9DhuGGf",
        "outputId": "dcbcef3b-3f7e-4655-850b-23207cb842b2"
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      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "All packages installed successfully!\n"
          ]
        }
      ],
      "source": [
        "# ============================================================\n",
        "# Cell 1: Install required packages\n",
        "# ============================================================\n",
        "!pip install datasets transformers accelerate -q\n",
        "!pip install shap wordcloud nltk -q\n",
        "print(\"All packages installed successfully!\")\n"
      ]
    },
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      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 2: Import all libraries\n",
        "# ============================================================\n",
        "import os, re, time, warnings\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# NLP and text processing\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem import WordNetLemmatizer\n",
        "from nltk.tokenize import word_tokenize\n",
        "\n",
        "# Scikit-learn: traditional ML pipeline\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "from sklearn.metrics import (\n",
        "    accuracy_score, precision_score, recall_score, f1_score,\n",
        "    classification_report, confusion_matrix, ConfusionMatrixDisplay\n",
        ")\n",
        "\n",
        "# Hugging Face: Transformer pipeline\n",
        "from datasets import load_dataset\n",
        "from transformers import (\n",
        "    DistilBertTokenizerFast, DistilBertForSequenceClassification,\n",
        "    Trainer, TrainingArguments, EarlyStoppingCallback\n",
        ")\n",
        "import torch\n",
        "from torch.utils.data import Dataset\n",
        "\n",
        "# Interpretability\n",
        "import shap\n",
        "from wordcloud import WordCloud\n",
        "\n",
        "# Download NLTK data\n",
        "nltk.download('punkt', quiet=True)\n",
        "nltk.download('punkt_tab', quiet=True)\n",
        "nltk.download('stopwords', quiet=True)\n",
        "nltk.download('wordnet', quiet=True)\n",
        "\n",
        "warnings.filterwarnings('ignore')\n",
        "sns.set_theme(style='whitegrid', palette='muted')\n",
        "\n",
        "# Set random seeds for reproducibility\n",
        "SEED = 42\n",
        "np.random.seed(SEED)\n",
        "torch.manual_seed(SEED)\n",
        "\n",
        "# Check GPU availability\n",
        "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
        "print(f\"Using device: {device}\")\n",
        "if device.type == 'cuda':\n",
        "    print(f\"GPU name: {torch.cuda.get_device_name(0)}\")\n",
        "    print(f\"GPU memory: {torch.cuda.get_device_properties(0).total_memory / 1e9:.1f} GB\")\n",
        "print(f\"PyTorch version: {torch.__version__}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ARKeT1hDui0z",
        "outputId": "d2c6a1d9-51f4-42a6-ce45-6ba894537b97"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Using device: cuda\n",
            "GPU name: Tesla T4\n",
            "GPU memory: 15.6 GB\n",
            "PyTorch version: 2.10.0+cu128\n"
          ]
        }
      ]
    },
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      "cell_type": "code",
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        "# ============================================================\n",
        "# Cell 3: Load the IMDB Large Movie Review Dataset\n",
        "# ============================================================\n",
        "dataset = load_dataset('imdb')\n",
        "\n",
        "# Convert to pandas DataFrames for easier exploration\n",
        "train_df = pd.DataFrame(dataset['train'])\n",
        "test_df  = pd.DataFrame(dataset['test'])\n",
        "\n",
        "print(f\"Training set size: {len(train_df)}\")\n",
        "print(f\"Test set size:     {len(test_df)}\")\n",
        "print(f\"Columns: {list(train_df.columns)}\")\n",
        "print(f\"\\nLabel mapping: 0 = Negative, 1 = Positive\")\n",
        "print(f\"\\n--- First 3 rows ---\")\n",
        "train_df.head(3)"
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        "id": "iyyFCdCywBEe",
        "outputId": "6389c936-14f8-44eb-a557-91ad438fbc35"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "README.md: 0.00B [00:00, ?B/s]"
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        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n",
            "WARNING:huggingface_hub.utils._http:Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plain_text/train-00000-of-00001.parquet:   0%|          | 0.00/21.0M [00:00<?, ?B/s]"
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              "plain_text/test-00000-of-00001.parquet:   0%|          | 0.00/20.5M [00:00<?, ?B/s]"
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        {
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          "data": {
            "text/plain": [
              "plain_text/unsupervised-00000-of-00001.p(…):   0%|          | 0.00/42.0M [00:00<?, ?B/s]"
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        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating train split:   0%|          | 0/25000 [00:00<?, ? examples/s]"
            ],
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              "version_major": 2,
              "version_minor": 0,
              "model_id": "aa0163a04a4947ce866e9cd9d0a7a35a"
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          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating test split:   0%|          | 0/25000 [00:00<?, ? examples/s]"
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating unsupervised split:   0%|          | 0/50000 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "0f3ba35a29054b15a2c4adf0ef05a79c"
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          },
          "metadata": {}
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training set size: 25000\n",
            "Test set size:     25000\n",
            "Columns: ['text', 'label']\n",
            "\n",
            "Label mapping: 0 = Negative, 1 = Positive\n",
            "\n",
            "--- First 3 rows ---\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                text  label\n",
              "0  I rented I AM CURIOUS-YELLOW from my video sto...      0\n",
              "1  \"I Am Curious: Yellow\" is a risible and preten...      0\n",
              "2  If only to avoid making this type of film in t...      0"
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "train_df",
              "summary": "{\n  \"name\": \"train_df\",\n  \"rows\": 25000,\n  \"fields\": [\n    {\n      \"column\": \"text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 24904,\n        \"samples\": [\n          \"Although I didn't like Stanley & Iris tremendously as a film, I did admire the acting. Jane Fonda and Robert De Niro are great in this movie. I haven't always been a fan of Fonda's work but here she is delicate and strong at the same time. De Niro has the ability to make every role he portrays into acting gold. He gives a great performance in this film and there is a great scene where he has to take his father to a home for elderly people because he can't care for him anymore that will break your heart. I wouldn't really recommend this film as a great cinematic entertainment, but I will say you won't see much bette acting anywhere.\",\n          \"Yet again one of the most misunderstood Goddesses of my country has been twisted by \\\"Westerners\\\" who cannot understand the esoteric symbolism of the Mother Goddess in her dark forms. The Mother takes on the frightening form of Kali Mata to destroy our inner demons, and to terrify our egos. And though blood sacrifice is given to Kali and Durga, the events depicted in this film are just absurd. The Mother takes on a wrathful form to be wrathful to our inner demons, limitations, and ego when no other form will suffice. It's also in her wrathful form that she burns away all your Karmas in the \\\"Smashan\\\" fires that you cultivate in your heart for her to dance on if you love her, and she will bring you to reality and truth. Reality and truth has a dark side as well as light, which serves a purpose. The Mother is the embodiment of the physical Universe as well, she is Nature. Nature can be cruel and destructive to maintain balance. You cannot have growth and life without death and destruction. Kali represents the force of destruction for the purpose of new growth and life both mundane and spiritual in the universe. It's very outrageous to me that people who know nothing of India or it's divinity can just take one of our beloved Goddesses and use her like a cheap prostitute to make some low-budget, talentless horror film. How dare they take our beloved Mother and portray her as a horror that makes people chop their eyelids off!? She is only horrific to those who are attached to their ego and who live in delusion , greed, anger, and other inner-demons. It's very clear to me that the person who wrote this movie must have a very serious self-deluding ego, and serious inner-demons to see Kali as so horrible and terrible. When the ego drops away she becomes a form that is enchanting, beautiful, and young, a beauty that is so enchanting to behold that she enchants the entire Universe with it. Kali Maa is an ancient Mother, not to be trifled with for the sake of entertainment, let's just hope that in her endless compassion and mercy that she does not take on wrathful form to those involved with this movie.<br /><br />The audacity that Westerners have in using religions like my own, or the religions of the Caribbean Islands such as Santeria, and Vodou which are actually very positive, and other such religions to twist and exaggerate misunderstood elements that the Western mind cannot comprehend, is totally ridiculous. It's clear that there is no respect for what people live, breathe and believe in when it comes to these kind of flicks.<br /><br />Kali Maa in reality is a caring and compassionate mother, whom we shed tears at her beautiful feet in devotion and love for. And I am happy that my Mother takes on wrathful form sometimes to protect her devotees from themselves and from outside forces.<br /><br />Many Praises to the REAL Kali Maa, who has shown MANY the path of God and realization.\",\n          \"Paris is the place to be to enjoy beautiful art and music, and to fall madly in love - as is the case in this film. Boy meets girl, they fall in love, but something stands in their way of eternal happiness, the classic story.<br /><br />The wonderful music of George Gerschwin complements the great dancing by Gene Kelly and Leslie Caron. \\\"An American in Paris\\\" is a humorous, light-hearted, loving film well worth watching.<br /><br />8/10<br /><br />\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 4: EDA - Class Distribution and Review Lengths\n",
        "# ============================================================\n",
        "fig, axes = plt.subplots(1, 3, figsize=(18, 5))\n",
        "\n",
        "# (a) Class distribution\n",
        "class_counts = train_df['label'].value_counts().sort_index()\n",
        "labels = ['Negative (0)', 'Positive (1)']\n",
        "colours = ['#e74c3c', '#27ae60']\n",
        "axes[0].bar(labels, class_counts.values, color=colours, edgecolor='black')\n",
        "for i, v in enumerate(class_counts.values):\n",
        "    axes[0].text(i, v + 200, str(v), ha='center', fontweight='bold')\n",
        "axes[0].set_title('Class Distribution (Training Set)', fontsize=13)\n",
        "axes[0].set_ylabel('Count')\n",
        "\n",
        "# (b) Review length distribution (word count)\n",
        "train_df['word_count'] = train_df['text'].apply(lambda x: len(x.split()))\n",
        "axes[1].hist(train_df[train_df['label']==0]['word_count'], bins=50,\n",
        "             alpha=0.6, label='Negative', color='#e74c3c', edgecolor='black')\n",
        "axes[1].hist(train_df[train_df['label']==1]['word_count'], bins=50,\n",
        "             alpha=0.6, label='Positive', color='#27ae60', edgecolor='black')\n",
        "axes[1].set_title('Review Length Distribution (Words)', fontsize=13)\n",
        "axes[1].set_xlabel('Word Count')\n",
        "axes[1].set_ylabel('Frequency')\n",
        "axes[1].legend()\n",
        "\n",
        "# (c) Average review length by class\n",
        "avg_len = train_df.groupby('label')['word_count'].mean()\n",
        "axes[2].bar(labels, avg_len.values, color=colours, edgecolor='black')\n",
        "for i, v in enumerate(avg_len.values):\n",
        "    axes[2].text(i, v + 2, f'{v:.1f}', ha='center', fontweight='bold')\n",
        "axes[2].set_title('Mean Review Length by Sentiment', fontsize=13)\n",
        "axes[2].set_ylabel('Mean Word Count')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "print(f\"\\nDataset balance: {class_counts[0]/len(train_df)*100:.1f}% negative, \"\n",
        "      f\"{class_counts[1]/len(train_df)*100:.1f}% positive\")\n",
        "print(f\"Mean review length: {train_df['word_count'].mean():.0f} words\")\n",
        "print(f\"Median review length: {train_df['word_count'].median():.0f} words\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "id": "lStxYXp6zWiI",
        "outputId": "94a0f8b6-be1d-41a2-e04f-be79693ace0c"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x500 with 3 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Dataset balance: 50.0% negative, 50.0% positive\n",
            "Mean review length: 234 words\n",
            "Median review length: 174 words\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 5: Word Clouds for Positive and Negative Reviews\n",
        "# ============================================================\n",
        "def simple_clean(text):\n",
        "    \"\"\"Quick clean for word frequency analysis.\"\"\"\n",
        "    text = re.sub(r'<[^>]+>', '', text)       # remove HTML tags\n",
        "    text = re.sub(r'[^a-zA-Z\\s]', '', text)  # keep only letters\n",
        "    return text.lower()\n",
        "\n",
        "stop_words = set(stopwords.words('english'))\n",
        "\n",
        "pos_text = ' '.join(train_df[train_df['label']==1]['text'].apply(simple_clean))\n",
        "neg_text = ' '.join(train_df[train_df['label']==0]['text'].apply(simple_clean))\n",
        "\n",
        "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n",
        "\n",
        "# Positive word cloud\n",
        "wc_pos = WordCloud(width=800, height=400, background_color='white',\n",
        "                   stopwords=stop_words, colormap='Greens', max_words=100)\n",
        "wc_pos.generate(pos_text)\n",
        "axes[0].imshow(wc_pos, interpolation='bilinear')\n",
        "axes[0].set_title('Positive Reviews - Most Frequent Words', fontsize=14)\n",
        "axes[0].axis('off')\n",
        "\n",
        "# Negative word cloud\n",
        "wc_neg = WordCloud(width=800, height=400, background_color='white',\n",
        "                   stopwords=stop_words, colormap='Reds', max_words=100)\n",
        "wc_neg.generate(neg_text)\n",
        "axes[1].imshow(wc_neg, interpolation='bilinear')\n",
        "axes[1].set_title('Negative Reviews - Most Frequent Words', fontsize=14)\n",
        "axes[1].axis('off')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "AQAkBwr1zyP3",
        "outputId": "a4fa120d-040c-4f0e-8da5-9f3b66e221c8"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 6: Text Preprocessing for TF-IDF Pipeline\n",
        "# ============================================================\n",
        "lemmatizer = WordNetLemmatizer()\n",
        "\n",
        "def preprocess_text_tfidf(text):\n",
        "    \"\"\"\n",
        "    Full preprocessing pipeline for traditional ML:\n",
        "    1. Remove HTML tags (common in IMDB data)\n",
        "    2. Lowercase\n",
        "    3. Remove non-alphabetic characters\n",
        "    4. Tokenise\n",
        "    5. Remove stopwords\n",
        "    6. Lemmatise\n",
        "    \"\"\"\n",
        "    text = re.sub(r'<[^>]+>', '', text)         # strip HTML\n",
        "    text = text.lower()                          # lowercase\n",
        "    text = re.sub(r'[^a-zA-Z\\s]', '', text)    # remove punctuation/numbers\n",
        "    tokens = word_tokenize(text)                 # tokenise\n",
        "    tokens = [lemmatizer.lemmatize(t) for t in tokens\n",
        "              if t not in stop_words and len(t) > 2]\n",
        "    return ' '.join(tokens)\n",
        "\n",
        "print(\"Preprocessing training data for TF-IDF (this takes ~2-3 minutes)...\")\n",
        "start = time.time()\n",
        "train_df['clean_text'] = train_df['text'].apply(preprocess_text_tfidf)\n",
        "test_df['clean_text']  = test_df['text'].apply(preprocess_text_tfidf)\n",
        "elapsed = time.time() - start\n",
        "print(f\"Done in {elapsed:.1f}s\")\n",
        "\n",
        "# Show a before/after example\n",
        "print(\"\\n\" + \"=\"*60)\n",
        "print(\"BEFORE preprocessing:\")\n",
        "print(\"=\"*60)\n",
        "print(train_df['text'].iloc[0][:300])\n",
        "print(\"\\n\" + \"=\"*60)\n",
        "print(\"AFTER preprocessing:\")\n",
        "print(\"=\"*60)\n",
        "print(train_df['clean_text'].iloc[0][:300])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SIC2W31-0Q83",
        "outputId": "428ad36c-56d1-460b-cbdd-22c8a58f3662"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Preprocessing training data for TF-IDF (this takes ~2-3 minutes)...\n",
            "Done in 65.3s\n",
            "\n",
            "============================================================\n",
            "BEFORE preprocessing:\n",
            "============================================================\n",
            "I rented I AM CURIOUS-YELLOW from my video store because of all the controversy that surrounded it when it was first released in 1967. I also heard that at first it was seized by U.S. customs if it ever tried to enter this country, therefore being a fan of films considered \"controversial\" I really h\n",
            "\n",
            "============================================================\n",
            "AFTER preprocessing:\n",
            "============================================================\n",
            "rented curiousyellow video store controversy surrounded first released also heard first seized custom ever tried enter country therefore fan film considered controversial really see myselfthe plot centered around young swedish drama student named lena want learn everything life particular want focus\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 7: Minimal Preprocessing for DistilBERT\n",
        "# ============================================================\n",
        "def preprocess_text_bert(text):\n",
        "    \"\"\"\n",
        "    Minimal preprocessing for BERT/DistilBERT.\n",
        "    Only strip HTML - the tokeniser handles everything else.\n",
        "    Preserving punctuation, casing, and stopwords is important\n",
        "    because the model was pretrained with these features.\n",
        "    \"\"\"\n",
        "    text = re.sub(r'<[^>]+>', '', text)\n",
        "    return text.strip()\n",
        "\n",
        "train_df['bert_text'] = train_df['text'].apply(preprocess_text_bert)\n",
        "test_df['bert_text']  = test_df['text'].apply(preprocess_text_bert)\n",
        "\n",
        "print(\"BERT preprocessing complete (minimal - HTML removal only)\")\n",
        "print(f\"\\nExample BERT-preprocessed text (first 200 chars):\")\n",
        "print(train_df['bert_text'].iloc[0][:200])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5K6LkgdL2YVv",
        "outputId": "0dda25d4-c4b9-4394-b9f3-c718f2c33508"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "BERT preprocessing complete (minimal - HTML removal only)\n",
            "\n",
            "Example BERT-preprocessed text (first 200 chars):\n",
            "I rented I AM CURIOUS-YELLOW from my video store because of all the controversy that surrounded it when it was first released in 1967. I also heard that at first it was seized by U.S. customs if it ev\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 8: TF-IDF Vectorisation\n",
        "# ============================================================\n",
        "# Configuration:\n",
        "# - max_features=50000: top 50k most important terms\n",
        "# - ngram_range=(1,2): unigrams + bigrams (e.g., \"not good\")\n",
        "# - sublinear_tf=True: log scaling to prevent frequent terms dominating\n",
        "# - min_df=5: ignore very rare terms (< 5 documents)\n",
        "# - max_df=0.95: ignore very common terms (> 95% of documents)\n",
        "\n",
        "tfidf = TfidfVectorizer(\n",
        "    max_features=50000,\n",
        "    ngram_range=(1, 2),\n",
        "    sublinear_tf=True,\n",
        "    min_df=5,\n",
        "    max_df=0.95\n",
        ")\n",
        "\n",
        "print(\"Fitting TF-IDF vectoriser on training data...\")\n",
        "start = time.time()\n",
        "X_train_tfidf = tfidf.fit_transform(train_df['clean_text'])\n",
        "X_test_tfidf  = tfidf.transform(test_df['clean_text'])\n",
        "print(f\"Done in {time.time()-start:.1f}s\")\n",
        "\n",
        "print(f\"\\nVocabulary size: {len(tfidf.vocabulary_):,}\")\n",
        "print(f\"Training feature matrix shape: {X_train_tfidf.shape}\")\n",
        "print(f\"Test feature matrix shape: {X_test_tfidf.shape}\")\n",
        "print(f\"Matrix density: {X_train_tfidf.nnz / (X_train_tfidf.shape[0] * X_train_tfidf.shape[1]) * 100:.2f}%\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qNaxJydd2kX_",
        "outputId": "a4b6138f-c4a5-4105-c716-512a1edabab3"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting TF-IDF vectoriser on training data...\n",
            "Done in 21.8s\n",
            "\n",
            "Vocabulary size: 50,000\n",
            "Training feature matrix shape: (25000, 50000)\n",
            "Test feature matrix shape: (25000, 50000)\n",
            "Matrix density: 0.23%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 9: Hyperparameter Tuning - GridSearchCV\n",
        "# ============================================================\n",
        "param_grid = {\n",
        "    'C': [0.1, 1.0, 10.0],        # regularisation strength\n",
        "    'penalty': ['l1', 'l2'],        # L1 (sparse) vs L2 (dense)\n",
        "    'solver': ['liblinear'],        # supports both L1 and L2\n",
        "    'max_iter': [1000]\n",
        "}\n",
        "\n",
        "print(\"Running GridSearchCV (5-fold CV) for Logistic Regression...\")\n",
        "print(\"Testing 6 parameter combinations x 5 folds = 30 fits\\n\")\n",
        "start = time.time()\n",
        "\n",
        "grid_search = GridSearchCV(\n",
        "    LogisticRegression(random_state=SEED),\n",
        "    param_grid,\n",
        "    cv=5,\n",
        "    scoring='f1',\n",
        "    n_jobs=-1,\n",
        "    verbose=1\n",
        ")\n",
        "grid_search.fit(X_train_tfidf, train_df['label'])\n",
        "\n",
        "lr_train_time = time.time() - start\n",
        "\n",
        "print(f\"\\nBest parameters: {grid_search.best_params_}\")\n",
        "print(f\"Best CV F1-score: {grid_search.best_score_:.4f}\")\n",
        "print(f\"Total training time (incl. CV): {lr_train_time:.1f}s\")\n",
        "\n",
        "# Show all results\n",
        "results_df = pd.DataFrame(grid_search.cv_results_)[\n",
        "    ['param_C', 'param_penalty', 'mean_test_score', 'std_test_score', 'rank_test_score']\n",
        "].sort_values('rank_test_score')\n",
        "print(\"\\nAll CV Results:\")\n",
        "results_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 411
        },
        "id": "0Aci-nX-3DID",
        "outputId": "571ac357-9ef6-49f4-e5cd-bcc0f9899970"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Running GridSearchCV (5-fold CV) for Logistic Regression...\n",
            "Testing 6 parameter combinations x 5 folds = 30 fits\n",
            "\n",
            "Fitting 5 folds for each of 6 candidates, totalling 30 fits\n",
            "\n",
            "Best parameters: {'C': 1.0, 'max_iter': 1000, 'penalty': 'l2', 'solver': 'liblinear'}\n",
            "Best CV F1-score: 0.8688\n",
            "Total training time (incl. CV): 21.3s\n",
            "\n",
            "All CV Results:\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   param_C param_penalty  mean_test_score  std_test_score  rank_test_score\n",
              "3      1.0            l2         0.868819        0.004893                1\n",
              "2      1.0            l1         0.863199        0.001804                2\n",
              "5     10.0            l2         0.861512        0.003927                3\n",
              "1      0.1            l2         0.854727        0.007041                4\n",
              "4     10.0            l1         0.844361        0.006111                5\n",
              "0      0.1            l1         0.788810        0.003634                6"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>param_C</th>\n",
              "      <th>param_penalty</th>\n",
              "      <th>mean_test_score</th>\n",
              "      <th>std_test_score</th>\n",
              "      <th>rank_test_score</th>\n",
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              "      <th>3</th>\n",
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              "      <td>10.0</td>\n",
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              "\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "results_df",
              "summary": "{\n  \"name\": \"results_df\",\n  \"rows\": 6,\n  \"fields\": [\n    {\n      \"column\": \"param_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.896529383144759,\n        \"min\": 0.1,\n        \"max\": 10.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1.0,\n          10.0,\n          0.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"param_penalty\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"l1\",\n          \"l2\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mean_test_score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.02967080581895585,\n        \"min\": 0.7888098372079333,\n        \"max\": 0.8688193549077907,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.8688193549077907,\n          0.8631987913630773\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"std_test_score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0018723024757576557,\n        \"min\": 0.001803895451362362,\n        \"max\": 0.007041017380072412,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          0.004893338350311857,\n          0.001803895451362362\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rank_test_score\",\n      \"properties\": {\n        \"dtype\": \"int32\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 10: Evaluate TF-IDF + Logistic Regression on Test Set\n",
        "# ============================================================\n",
        "lr_model = grid_search.best_estimator_\n",
        "\n",
        "start = time.time()\n",
        "y_pred_lr = lr_model.predict(X_test_tfidf)\n",
        "lr_inference_time = time.time() - start\n",
        "\n",
        "y_test = test_df['label'].values\n",
        "\n",
        "lr_accuracy  = accuracy_score(y_test, y_pred_lr)\n",
        "lr_precision = precision_score(y_test, y_pred_lr)\n",
        "lr_recall    = recall_score(y_test, y_pred_lr)\n",
        "lr_f1        = f1_score(y_test, y_pred_lr)\n",
        "\n",
        "print(\"=\" * 55)\n",
        "print(\"  TF-IDF + LOGISTIC REGRESSION - TEST SET RESULTS\")\n",
        "print(\"=\" * 55)\n",
        "print(f\"  Accuracy:  {lr_accuracy:.4f}\")\n",
        "print(f\"  Precision: {lr_precision:.4f}\")\n",
        "print(f\"  Recall:    {lr_recall:.4f}\")\n",
        "print(f\"  F1-Score:  {lr_f1:.4f}\")\n",
        "print(f\"  Inference time: {lr_inference_time:.4f}s for {len(y_test):,} samples\")\n",
        "print(\"=\" * 55)\n",
        "print(f\"\\n{classification_report(y_test, y_pred_lr, target_names=['Negative', 'Positive'])}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DwZ8bX1F3b23",
        "outputId": "635f376e-1fae-4d80-f5ea-59e173e59f25"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "=======================================================\n",
            "  TF-IDF + LOGISTIC REGRESSION - TEST SET RESULTS\n",
            "=======================================================\n",
            "  Accuracy:  0.8896\n",
            "  Precision: 0.8867\n",
            "  Recall:    0.8934\n",
            "  F1-Score:  0.8901\n",
            "  Inference time: 0.0278s for 25,000 samples\n",
            "=======================================================\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Negative       0.89      0.89      0.89     12500\n",
            "    Positive       0.89      0.89      0.89     12500\n",
            "\n",
            "    accuracy                           0.89     25000\n",
            "   macro avg       0.89      0.89      0.89     25000\n",
            "weighted avg       0.89      0.89      0.89     25000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 11: Confusion Matrix - Logistic Regression\n",
        "# ============================================================\n",
        "fig, ax = plt.subplots(figsize=(7, 6))\n",
        "cm_lr = confusion_matrix(y_test, y_pred_lr)\n",
        "disp = ConfusionMatrixDisplay(cm_lr, display_labels=['Negative', 'Positive'])\n",
        "disp.plot(cmap='Blues', ax=ax, values_format='d')\n",
        "ax.set_title('TF-IDF + Logistic Regression - Confusion Matrix', fontsize=14)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Print the raw numbers\n",
        "print(f\"\\nTrue Negatives:  {cm_lr[0][0]:,}\")\n",
        "print(f\"False Positives: {cm_lr[0][1]:,}\")\n",
        "print(f\"False Negatives: {cm_lr[1][0]:,}\")\n",
        "print(f\"True Positives:  {cm_lr[1][1]:,}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 656
        },
        "id": "cFY59SVX3xp6",
        "outputId": "2bfb9fdc-cdfc-458b-ddcf-85dac67d16f9"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "True Negatives:  11,073\n",
            "False Positives: 1,427\n",
            "False Negatives: 1,332\n",
            "True Positives:  11,168\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 12: Top 20 Positive and Negative Features\n",
        "# ============================================================\n",
        "feature_names = np.array(tfidf.get_feature_names_out())\n",
        "coefs = lr_model.coef_[0]\n",
        "\n",
        "top_pos_idx = np.argsort(coefs)[-20:][::-1]\n",
        "top_neg_idx = np.argsort(coefs)[:20]\n",
        "\n",
        "fig, axes = plt.subplots(1, 2, figsize=(16, 7))\n",
        "\n",
        "axes[0].barh(range(20), coefs[top_pos_idx], color='#27ae60', edgecolor='black')\n",
        "axes[0].set_yticks(range(20))\n",
        "axes[0].set_yticklabels(feature_names[top_pos_idx])\n",
        "axes[0].set_title('Top 20 Positive Sentiment Features', fontsize=14)\n",
        "axes[0].set_xlabel('Coefficient Weight')\n",
        "axes[0].invert_yaxis()\n",
        "\n",
        "axes[1].barh(range(20), coefs[top_neg_idx], color='#e74c3c', edgecolor='black')\n",
        "axes[1].set_yticks(range(20))\n",
        "axes[1].set_yticklabels(feature_names[top_neg_idx])\n",
        "axes[1].set_title('Top 20 Negative Sentiment Features', fontsize=14)\n",
        "axes[1].set_xlabel('Coefficient Weight')\n",
        "axes[1].invert_yaxis()\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 670
        },
        "id": "A41F1HRW4Sr5",
        "outputId": "f2e13309-dcf1-406d-d684-98ff827e9798"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x700 with 2 Axes>"
            ],
            "image/png": 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zv6yoqEjep08fuZ2dnXzQoEHynTt3ym/duiUvKCh4bZszZ87I7ezs5CNGjJD/999/Cn3NmzevxGfn999/l9vZ2clbtmwpv3TpkrC9oKBAPmTIELmdnZ08KipK2P7w4UO5nZ2dfNasWUrPX9zf77//rrDdzs5ObmdnJ//+++8Vtn/11VdyOzs7uaenp3zz5s0K8Y4ePVpuZ2cnv379urA9PT1d7u7uLvfx8ZEnJCQo9LV//365nZ2dfMGCBSXitbOzk//0008Kx69YsULpdmW//6XRqVMnub29vXz16tUlfu3fv184bsCAAXJ7e3v533//rdD+3r17cjc3txLfv/j4+BLnys/Pl3/66adye3t7eWJiosI+ZZ/5YqtXr5bb2dnJz58/X2Kfst+7l/O3atWqEm1U/bx5eXnJ27dvL5fJZCX6ysjIUBozERERKeJ44/+8PN7Ytm2b3M7OTr5o0SJh/5MnT5TeGy1fvlw4T1FRkbA9Oztb3rdvX7mDg4M8KSlJ2D59+nS5nZ2dfO3atQr97Nq1S7hXevn+6vnz5wrti/37779yV1dX+fDhwxW2v+4eupiy8UvxveyBAwdKHF88Xnr5/mrq1KlyOzs7+c6dOxWOTU1Nlfv6+spbt24tz83NVXr+ly1cuFAYy61fv15+5coVpfd2xTR9//668UvxWGfQoEEK97EHDhwQxicTJ06U5+fnC/vWr18vt7Ozk2/cuFGhL1Xv74u/w59//rn8+fPnwvazZ88K99Yve9v49XWK233xxRclxicv51DV70NSUpJC3MWCg4PldnZ28j/++ENhe3GulTl//rzczs5Ovnr16hL7Xvd7V5y/ESNGyHNychT2qfp5Gz9+vNzOzk4eGxtb4vyv/tsCUVXAJaSIqEzy8vJw4MABmJubl3i5r6+vL9q1a4cHDx7gypUrJdoOHTpU4WVbBgYGmDx5MgAI00jLYtWqVfj333/Rt29f2NnZCduzs7MBAMbGxkrbFW8vPq40MjIyEBwcjODgYCxduhSjRo3CF198AT09PcycORPA/13L+PHjFZ5kMTMzE57SeHVJIrFYLDzV9TJ1rbfau3dvFBYW4sCBAwrbDx48iPz8fIXZFydPnkRiYiJGjhyJli1bKhzv6emJzp0749SpU3j27NkbzykSibB69Wq4u7vj8uXLmDt3Lt5//314eHhg+PDh2L17d4klerZt2wYA+Oabb2BkZKTQ1/Tp0yESiUpcA/BizWEPDw/h5xo1aghP8MfExLwxztIyMjISPr8vnxd48STX0KFDFeJ97733AEBhmvgff/yBZ8+eYerUqSWeOurVqxccHByUXl/Dhg0xatQohW39+/cHUHHXBwCFhYUICQkp8as4pv/973+IiorChx9+CB8fH4W2jRs3xscff4x///1XYaq5spk6+vr6GDhwIAoLCytl6SVra2uMHTu2xPayfN7EYrHS2URve1KSiIiIlKvu441iH3/8MRo1aoTt27fj8ePHrz2uqKgIO3bsgI2NDSZOnAiRSKRw/nHjxiE/Px9//vkngBf5PXz4MCwtLTFixAiFvvr164fGjRuXOIeBgYHS2QnNmzeHt7c3IiMjS71M1+sUz67Yu3evwva7d+/ixo0b8PX1Fe6v0tPTcejQIbRu3brEi84tLS0xcuRIpKenC0snvcmUKVPQt29fPHr0CEuXLsXAgQPh4eGBvn374scff0RWVpbC8dp+/z5lyhSF+9gePXpALBYjKysLs2bNUhhzFo9dXh6flOX+vtjs2bMVllFr06YNGjRogOvXr1fY9QHAb7/9VmJ8sn79egCqfx+AFy9Gf3XZOADCLI1z585VaPyvM2PGDBgaGipsK+vnTdm7c7TpXS5EpcUlpIioTO7du4fnz5/D29sbEomkxH5vb2/8888/iI2NLTGtW9k0bzc3N+jr65dYO7W0duzYgZ9++gktW7bEnDlzytSHKjIzMxESEgLgxT+K165dG507d8aIESOE64uNjQUApcvHFG97+Sbxvffew5IlS+Dv7w9/f3+0bt0aHh4erx0IVYSePXvi22+/xR9//IFPP/1U2L53717o6+sLN7PAi3VhgRdrgypbyzMlJQVFRUW4f/8+nJyc3njehg0bYseOHYiNjcXZs2dx/fp1XLlyBefOncO5c+cQERGBDRs2CDeQ165dg5GREX7//Xel/RkaGuLevXsltjs4OJTYVjyYfXUQUla2trYlvgPW1tYAXqyH+vLNMgDhRYVPnjwRthXnNjo6Wnh3xsueP3+OjIwMpKenw8LCQthub28PPT3FZxEq+vqAF4PVNw2oiuNPS0tT+tko/r25d++eMNh/9uwZNm7ciGPHjuHhw4eQyWQKbV7Oj7pIpVKlgxRVP2/vvfcefvnlF/j7++O9994T3oXy6sCDiIiISq+6jzeKicViTJ48GVOmTMGqVauwaNEipcfdv38fT58+RZ06dYRxysuK39H38n1ZXl4eHB0dS9wPiUQiuLm54f79+yX6iY2NxYYNG3D58mWkpqaWKFhkZGSU68XcjRs3hrOzM86cOaNw71tc0Hh5+aiYmBgUFhYiLy9P6T1oXFyccK2dOnV643lr1qyJhQsXYtKkSTh16hSio6MRHR2NGzdu4MaNGwgPD8e2bduEh3C0/f791aWM9PT0YGFhgdzcXLzzzjsK+4rHLsrGJ6rc3wMv3t2i7EGlunXrCn1WlPDw8Ne+xFvV7wMAyOVy/P7779izZw9u376N7OxsFBUVCfsrY3xSs2ZNhffEFFP18/bee+/h6NGjGDBgAPz9/dGmTRt4eHgofBaJqhIWMIioTIqfsreyslK6v/gmSNnT+MVrOL6sRo0aMDc3L9NTSbt27cL8+fNhZ2eHjRs3olatWgr7i2c/vG5mQPH2l2dJvE3jxo1LvIhMWb/FN4qvsrKygkgkUohp5MiRMDc3x44dO7Bp0yZs3LgR+vr68PX1xezZs9/6bomyMDU1RadOnXDkyBHcuXMHzZo1Q3x8PKKiouDr66vwe/X06VMAwL59+97YZ05OTqnPb29vr3BzfeHCBcyYMQMXLlzAL7/8guHDhwvnLigoUHrzWezVfwAHlD8FV/yU/Ms3o+XxpnO8aV9BQYGwrTi327dvf+O5Xs2tsv6Ln6aqqOsrjeL4T548iZMnT772uOL48/LyMHToUNy4cQMtW7bEBx98AHNzc+jr6yMxMRF79uxBXl6e2uN+3Z9fqn7e5syZg4YNG2L37t1Yu3Yt1q5di5o1a6Jnz56YNWsWBwpERERlUN3HGy/r2bMnwsLChIeOlN1bZGZmAgBu376N27dvv7av4vux4piU5QpQnvcrV64I72No164dbG1tYWRkBJFIhGPHjuHmzZsVcg/Xu3dvREdH49ChQxg8eDDkcjn27dsHMzMzdOzYUTiu+B70ypUrSmfiFFNlfFKvXj0MGDBAeEdAfHw8vvjiC0RGRuL777/H2rVrFc6trffvrzvPm86vbHxS2vv7Yq/7jOvr61fq+ETV7wPw4v2V27ZtQ/369eHn5wdra2uhuBcSElIp4xNLS8sSD8ABqn/eevbsCbFYjM2bN+PXX3/F9u3bIRKJ4O3tjaCgoHK/q4OosrGAQURlUnzjk5qaqnR/8XZlN0hpaWlo0qSJwrbCwkJkZma+9gb6dXbu3Il58+ahWbNm2LJli9LpkEZGRrC2tkZCQoLSl0Y/ePAAANCoUSOVzv02xsbGKCoqQnp6eonrSktLg1wuV8iPSCRC//790b9/f2RkZODy5cvYv38/Dh06hAcPHmDv3r2lfuG1Kj744AMcOXIEf/zxB6ZNm6b06abi6wGAdevWvfUJprLy9vbGpEmT8MUXX+D8+fNCAaP43JWxrJAmFF/fvn37FJ5gqiqK43/1RXivc/z4cdy4cQP9+/fHd999p7DvwIEDKi/tUHyT/+rSY8Cbl2pQNjgAVP+86evrY+TIkRg5ciSSk5MRGRmJ3bt3IyIiAqmpqQgLCytVP0RERPR/ON74P8XLWA4fPhzLli0rcf8E/F8eunfvXqoXlRcfn5aWpnS/sryvW7cOeXl52L59e4lZLhX5dP17772HRYsWYe/evRg8eDAiIyORmJiIAQMGKMwWKb6GESNGYNasWRV2/pfZ2Nhg4cKF6NKlC86fP1/i3FX1/v1tVL2/1zaqfh/S0tKwfft2SKVShIeHK8z6SklJeeODTcoUz7J5uShU7E1LLr9tfKLK561Lly7o0qULnj17hitXruDPP//Eb7/9hlGjRuHQoUPCi9OJqgK+A4OIyqRJkyaoWbMmYmJilD7RUvwPf8oq+5cuXSqxLSoqCgUFBSXerfAmxYOJpk2bYsuWLW98ytnLywsymUzpkzmnT58GALRq1arU5y6N4mtX9o+gFy9eBAC0aNFCadvatWujS5cuWLlyJVq3bo07d+4IA5/XKb5JUvXJluJ1ZPfv34+ioiLs27cPtWrVQufOnRWOc3Z2BlCxgxNlXl6r9eVzZ2ZmCtPAK1rxIFPZP4BXhsrIrZ6entquz8XFBcCL73FpFE97fvUzBij/8wF4c/xmZmYAgOTk5BL7ipdyU0V5Pm9169aFv78/NmzYgEaNGuHs2bPIzc1VuR8iIqLqjuMNRW3atEH79u1x6tQpREZGltjftGlTGBsb4/r166V6D0WTJk1gYGCAGzdulHiyXC6XK70vjY+Ph7m5eYniRU5OjtKluYrHJ6reg1pYWKB9+/a4evWq8CAXAIX38wGAk5MTRCJRqe9By+rVGTdA1b9/fxtV7+/Loqzj19JQ9fvw8OFDyOVytG3btsSSdW8anwDKP9/FxQFly06VZRm78nzejI2N0aFDB3zzzTfo06cPUlNTce3aNZX7IdIkFjCIqEwMDAzQq1cvZGRk4KefflLY9/fff+PMmTNo1KgR3N3dS7TdunUrkpKShJ/z8vKwcuVKABBesPw2u3btwrx589CkSRNs2bLlrU9SffzxxwBevHjv5Rv0U6dO4eLFi2jfvn2Jl2GVV/G1rFmzRuEpi+zsbOEJjpev98KFC5DL5Qp95OfnC9NFlb2A62XF/4j7ppf7KSMWi/Hee+/h0aNH2LBhA+Li4tC9e/cS6/d36dIF77zzDjZt2qR00JSfn//am7uXPXz4ENu2bVP65ElOTg62bt0KAAqfnYCAAADAF198gYyMjBLtUlJScPfu3bee+3VMTU0hEokUPpeVqV+/fqhVqxZWrFihdIpzTk5OuQdHZmZmyMjIwPPnz8vVjzLOzs5wcXHBgQMHcPDgwRL7i4qKhKIdAGHd3cuXLyscd/HiRezatUvpOczMzF77+1P8zpWIiAiFAVBUVNRblzxTRpXPW15entJ/qJDJZJDJZNDX1y+xzjERERG9HccbJU2fPh0ikQgrVqwosU9fXx+DBg1CYmIifvjhB6X/aPvvv/8KMy4MDAzQvXt3pKamYvPmzQrHRUREKH2/XIMGDfD06VOF+9XCwkL88MMPwjsFXlb8su2y3GMXzwbftWsXDh8+jIYNG8LDw0PhGGtra/Ts2RNRUVHYsGFDibEU8OLdZqVZQiokJETpOEoulwsvhn75/FX9/v1tVL2/L4uyjl9LQ9XvQ/H4JCoqSmE8kZSUhOXLlys9x5vib9y4MWrVqoUTJ04Iy1kBL2Y2FS9DpgpVP2+RkZFKCyvF39O3/dsCkbbhElJEVGYzZsxAZGQk1q5di6ioKLi4uCAxMRGHDx+GRCLB999/r/Qf7lxcXNC7d2/07NkTEokEf/31F+7fv49u3bqhe/fubz3vuXPn8OWXX0Iul8PT0xM7duwocYy9vT26dOki/Ny6dWt89NFH2LVrF/r27QtfX1+kpKTg4MGDMDc3x9y5c8uXDCVatWqFgIAA/Pzzz/D390e3bt0gl8tx9OhRJCUlISAgQOEprHHjxsHY2BguLi545513UFBQgLNnz+LOnTvo3r37Wwc8rVu3xsaNGzFv3jx069YNEokE77zzDj788MO3xtq7d2/88ssvwvTaV59uAl4MclatWoXRo0djyJAhaN26Nezs7CASifDo0SNcunQJ5ubmpXo3yDfffIPFixfDw8MDzZs3h6GhIZKTk3Hy5ElkZmbCwcFB+EdkAOjQoQMCAwPx448/olu3bvDx8cE777yDzMxMPHjwAJcvX8bkyZPRtGnTt16rMrVq1YKTkxMiIyMxY8YMNGrUCHp6eujdu3eFF7aUsbCwwPLlyzFp0iT07t0bPj4+aNKkCfLy8pCYmIiLFy/Czc2tXEsRtW7dGtevX8eoUaPg6ekJsViMVq1aVdjMo2XLlmHYsGGYMmUKtmzZgpYtW8LQ0BCPHj3C1atXkZ6eLrwIvFOnTmjQoAE2bNiA27dvo3nz5rh//z5OnjyJLl264MiRI0rjP3ToEAIDA9GyZUvo6enBz88PLVq0gKurK9zd3XH+/HkMGDAAnp6eePToEY4fP45OnTrhzz//VOlaVPm85ebmYtCgQbC1tYWjoyPq168PmUyGkydPIiUlBSNGjFD6onAiIiJ6O443Sp7T39//tQ9oTJw4Ef/73//w888/49SpU/D09ISlpSWSk5Px77//4ubNmwgPDxeKMdOmTcO5c+ewbNkyREZGomXLlrh//z7++usv+Pj44PTp0wr5HTJkCM6cOYNPPvkEPXv2hIGBAS5evIjk5GR4eXmV+AdtV1dXGBoaYsuWLXj69KkwgyUwMPCt1+rn5wcTExNs3rwZ+fn5CAgIULq8zldffYX79+9jyZIl+OOPP+Dm5gYTExMkJSXh+vXriIuLw5kzZ5S+CP5lmzdvRkhICBwdHeHg4ABzc3NkZGTgwoULiIuLg7m5OYKCgoTjdeH+/W1Uub8vi/KMX0tDle9DnTp10L17dxw5cgT9+vVD69atkZaWhpMnT6J169aIj49XGv+RI0cwceJE+Pj4oGbNmmjRogX8/PxgYGCAgIAArFu3Dn379oWfnx/+++8//PXXX/Dy8lLa35uo+nn79ttv8eTJE3h4eKBBgwYQiUS4fPkyoqOj4erqWqIYSKTtWMAgojKzsLDAzp078eOPP+LEiRO4fPkyjI2N0blzZ4wfP/61azPOmTMHhw4dwm+//YZHjx6hTp06mDBhAj777LNSnffx48fC0zXh4eFKj+nTp4/CgAIAFixYADs7O+zcuRNbt26FkZERunbtiilTpsDGxkaFKy+9uXPnwt7eHjt27MDOnTsBAM2aNcPEiRPRr18/hWOnTp2K06dPIyYmBn/99RckEglsbGzw9ddfo3///m89l6+vL2bMmIFdu3Zh06ZNyM/Ph5eXV6luAF1dXWFra4u4uDjUq1cP3t7eSo9zdnbG3r17sWHDBvz999+4cuUKDAwMULduXXTp0gW9evV667maNm2K4OBgnDlzBteuXcPevXuRlZUFY2NjNGvWDN26dcOgQYNKPBUyadIktGrVClu3bsW5c+eQnZ0Nc3NzNGzYEOPHj8f777//1nO/yeLFi7Fw4UKcPHkS2dnZkMvlwg1fZejYsSP27NmDsLAwnDt3Dv/88w+MjIxQt25d9O3bV2lRSRWBgYHIysrCX3/9hcuXL6OwsBDjx4+vsAHQu+++iz179mDTpk04fvw4du/eDT09PdSpUweenp7o0aOHcGytWrWwZcsWLFmyBJGRkbh48SKaNWuGpUuXwtLSUmkBY86cOQCA8+fP46+//kJRURHq1asnLMP2448/YtGiRTh58iT+/fdftGjRAuvWrcOTJ09ULmAApf+8SSQSTJ8+HefPn8elS5eQlpYGMzMzNG7cGFOnTi3Vd4KIiIiU43ijpMmTJ+Pw4cNKnyg3MDBAaGgofvvtN0RERODo0aPIy8uDlZUVmjZtioEDByrkrH79+vj111+xdOlS/PPPP4iMjISDgwM2btyIw4cP4/Tp0wrvGOnUqRNWr16Nn376CXv37oWhoSFat26NNWvWYM2aNSXiMTc3x+rVqxEcHIxdu3YJy2qWpoBRs2ZN9OjRQ5id+7p7YXNzc/z666/Ytm0bDh48iH379qGoqAhWVlZo0aIFPv/8c6XvLXnVunXrhOW5Tpw4gYyMDIjFYrz77rsYMWIEPv30U9SpU0ehTVW/f38bVe7vy6I849fSUPX7sHDhQjRo0ABHjhzBtm3b8M4772D48OEYPXq00vHJxx9/jMTERBw8eBAbNmxAQUEB+vTpAz8/PwAvxhNisRi//fYbfv31VzRo0ACBgYHo1KmT0v7eRpXP25gxY3D06FHcuHEDZ86cgb6+Pho0aIDp06fjk08+Ucu7NYnUSSRXNseOiEgNgoKCsGfPHhw/fhwNGzbUdDhERERERKRDON6oOIMGDcLVq1dx6dIlpe+AICIiqixclJmIiIiIiIiIqBpS9pLhP/74A1euXEHbtm1ZvCAiIo3jElJERERERERERNXQ+++/D3t7ezRr1gx6enqIjY3FxYsXUatWLcycOVPT4REREbGAQURERERERERUHQ0cOBAnTpzA9evXkZOTg9q1a8Pf3x+BgYFo2rSppsMjIiLiOzCIiIiIiIiIiIiIiEj78B0YRERERERERERERESkdVjAICIiIiIiIiIiIiIircN3YGiRqKgoyOVyiMViTYdCRERERDomPz8fIpEIbm5umg6FtAzHIURERESkLuUdh3AGhhaRy+XCL6p4crkceXl5zK8aMLfqxfyqF/OrXsyvejG/6qVr+eV9Jr1Odfxs6Nr3W92Yr9JjrlTDfKmG+VIN86Ua5qv0mCvVlPdekzMwtIhYLEZeXh6aNWsGIyMjTYejc2QyGWJjY5lfNWBu1Yv5VS/mV72YX/ViftVL1/IbExOj6RBISxXPvHByctJwJJVH177f6sZ8lR5zpRrmSzXMl2qYL9UwX6XHXKkmOjoaIpGozO05A4OIiIiIiIiIiIiIiLQOCxhERERERERERERERKR1WMAgIiIiIiIiIiIiIiKtwwIGERERERERERERERFpHRYwiIiIiIiIiIiIiIhI67CAQUREREREREREREREWocFDCIiIiIiIiIiIiIi0josYBARERERERERERERkdZhAYOIiIiIiIiIiIiIiLQOCxhERERERERERERERKR1WMAgIiIiIiIiIiIiIiKtwwIGERERERERERERERFpHRYwiIiIiIiIiIiIiIhI67CAQUREREREREREREREWocFDCIiIiIiIiIiIiIi0josYBARERERERERERERkdZhAYOIiIiIiIiIiIiIiLQOCxhERERERERERERERKR1WMAgIiIiIiIiIiIiIiKtwwIGERERERERERERERFpHRYwiIiIiIiIiIiIiIhI67CAQUREREREREREREREWocFDCIiIiIiIiIiIiIi0josYBARERERERERERERkdbR13QApKigoABRUVGQSCSaDkXn5OTkIC4uDrm5ucxvBWNu1Yv5VS/mV72YX/ViftVLHfm1srKCjY1NhfRFpEvi4+ORmppaaefjn5+qYb5Kj7lSDfOlGuZLNcyXapiv0mOuVFNYWAhDQ8Myt2cBQ8skP0lG7w96azoMIiIiIlIDQyMJbsXeZBGD6CXx8fGwl0ohy83VdChEREREVMEiIiLQpEmTMrdnAUPLyIvkqD/JBwYNzTUdChERERFVoLyETDxedRqpqaksYBC9JDU1FbLcXIS42qG5iZGmwyEiIiKiClSrpkG52rOAoYUMGprDsKmlpsMgIiIiIiKqNM1NjOBsZqzpMIiIiIioAsXricrVni/xJiIiIiIiIiIiIiIircMCBhERERERERERERERaR0WMCpIcHAwrly5oukwiIiIiIiomoiNjUVwcDBycnI0HQoRERERkVqwgFFBQkJCEBUVpekwiIiIiIiomoiNjUVISAgLGERERESks6plASMvLw9FRUWaDoOIiIiIiKiEwsJC5OfnazoMIiIiIiKN04kCxq+//opOnTrBxcUFn376Kf73v/9BKpVi9+7dAAA/Pz8sWLAAoaGh6NSpE5ydnZGZmQkA2L17N95//304OTnBx8cHK1asQGFhodD3kydPMHv2bHTu3BnOzs7o1q0bli9fjry8POEYqVQKAFi8eDGkUimkUikuXLhQeQkgIiIiIiK1u3TpEqRSKeLj44VtY8eOhVQqxe3bt4VtU6dOxWeffQYAyMzMxOzZs+Ht7Q1nZ2cMHDgQkZGRCv0GBARgzJgx2LNnD7p37w4nJyfcvHkTWVlZmDt3Lnx8fODk5ARfX19MmTIFwItxzOzZswEAbdq0gVQqhZ+fn7pTQERERERUqfQ1HUB5HT9+HF999RU++ugjdO/eHbGxsZg8eXKJ444ePYpGjRphzpw50NPTg5GRETZt2oQlS5Zg2LBhCAoKwt27d4UCxvTp0wEAGRkZMDc3x+zZs2Fqaoq4uDgEBwcjJSUFCxcuBACEh4djwIABCAgIgL+/PwCgWbNmlZYDIiIiIiJSP2dnZ9SsWRORkZGwsbFBUVERLl++LGxr3rw5ACAyMhIBAQEoLCzE6NGj8fDhQ0yfPh1WVlb4+eef8emnn+LXX3+Fo6Oj0Pf169eRmJiISZMmwdTUFPXr18fChQtx+vRpTJs2DQ0aNEBKSgr+/vtvAEDHjh3x+eefY+3atdiwYQNMTExgYGCgkbwQEREREalLlS9grF27Fq1bt8a3334LAPDx8UFBQQFWrVqlcFx+fj5CQ0NhZGQEAHj27BlWr16NUaNGYerUqQCAdu3aQSwWY9GiRRg5ciRq164NqVSKWbNmCf24u7tDIpEgKCgI8+bNg0QigaurKwCgfv36wv8TERERESmTk5MDmUxW6eeVy+UQiUSVfl5dYmBgAGdnZ1y6dAn9+vXDrVu3kJOTg759+yIyMhKffPIJHjx4gCdPnqBVq1Y4efIkoqOjsWHDBvj4+AAA2rdvj27duuGnn35CcHCw0PfTp0/x22+/oX79+sK2mJgY+Pv7o0+fPsK2Xr16AQAsLCxgY2MDAHBwcICFhUW5rk0ul2vkcwmA7/AgIiIioteq0gWMwsJCxMbGYubMmQrbO3fuXKKA4e3tLRQvACAqKgoymQw9evRAQUGBsL1t27bIzc3F7du34eXlBblcji1btmDnzp1ISEjA8+fPhWMfPnwIOzs7NV0dEREREemiuLg4GBoaauTcfEK//Dw9PbF//34AL2ZaODo6okOHDvj666+FbRKJBI6Ojli+fDmMjY2F4gUAiMVidO3aVeijmJ2dnULxAgBatmyJPXv2wNraGj4+Pmode+Tn5yM2NlZt/b9JXFycRs5LRERERNqvShcw0tPTUVBQUOJpI0tLyxLHvrotIyMDABSeZnrZ48ePAQBbtmzBDz/8gFGjRsHb2xumpqaIiYnBggULFIoZRERERESlYWtrC3t7+0o/7507dyr9nLrIy8sLa9euRXJyMi5dugRPT094enoiNTUVcXFxuHTpElxcXCAWi5GVlaV0bGJlZYWnT5+W2PaqL7/8EmZmZti0aRMWL16M+vXr47PPPsMnn3xS4dclFos1tgxubm6uRs5LRERERNqvShcwLCwsoK+vj/T0dIXtaWlpJY59dbq8mZkZACAkJAT16tUrcXzDhg0BAIcPH4afnx+mTZsm7Lt79265YyciIiKi6kkikSjMDK4sXD6qYri6ukIsFiMyMlJYSsrc3BzNmzdHZGQkIiMj8eGHHwJ4MeZQNjZJTU0VxiPFlP3+mJiYYM6cOZgzZw5u3bqFrVu3Yv78+bCzs4Onp2eFXpdIJNLI5xJ48Z0gIiIiIlJGT9MBlEeNGjVgb2+P48ePK2w/duzYW9u6ublBIpEgKSkJTk5OJX7Vrl0bwIungcRisULbffv2lehPLBZzRgYRERERkY4zMjJCy5YtER4ejszMTHh4eAAAWrVqhb179yIhIUEoLnh4eODZs2c4c+aM0L6goADHjh0T2pWWVCrF7NmzAfzfA1XF45S8vLxyXxcRERERkTaq0jMwAODzzz9HYGAg5s6dix49euB///sfIiIiAAB6eq+vz5iammLixIlYsmQJkpKS4OXlhRo1auDhw4c4fvw4goODIZFI0LZtW2zduhXbtm2Dra0t9u7diwcPHpTor0mTJjh+/Dg8PT0hkUjQuHFjGBsbq+uyiYiIiIhIQzw9PREWFgYHBwfhnt/T0xPbt2+HWCyGm5sbAKBjx45wdnbGjBkzMG3aNFhZWeHnn3/GkydPsHr16reeZ+DAgejatSuaN2+OGjVqICIiAmKxWCiQNG3aFACwfft2dOnSBYaGhpBKpWq6aiIiIiKiylflCxidO3fG119/jZ9++gl79+6Fi4sLvv76a4wYMeKtBYQRI0agbt262LRpE7Zt2wZ9fX3Y2NigY8eOwtNM48aNQ0ZGhjDA6N69O+bOnYuxY8cq9DVv3jx8//33GD16NHJzc7F161Z4e3ur56KJiIiIiEhjvLy8EBYWprCMU6tWrQAAjo6Owkvaa9SogfXr12Px4sVYsmQJZDIZHBwcsHHjRjg6Or71PO7u7oiIiEBCQgL09PRgZ2eHdevWCYWLli1bYsKECdi1axc2bNiA+vXr48SJE2q4YiIiIiIizRDJ5XK5poOoaLt27cLcuXNx/Phx4V0WVUFMTAzu3buHSbfDYNi05Mv+iIiIiKjqyr2bhgcz9uHy5ctwd3ev9PPHxMQAAJycnCr93KTdNP3ZuHLlCjw8PHDExxXOZpzFTkRERKRL4ifMgaR+gzLfa1b5GRiZmZkICQlB69atUatWLcTExGDdunXo3LlzlSpeEBERERERERERERHR/6nyBQx9fX08fPgQ+/fvR3Z2NmrXro3evXtj+vTpmg6NiIiIiIiIiIiIiIjKqMoXMIyNjfHTTz9pOgwiIiIiIiIiIiIiIqpAVb6AoYvyEjI1HQIRERERVTDe4xG92e1smaZDICIiIqIKVqtIDkk52rOAoWVEeiI8XnVa02EQERERkRoYGklgZWWl6TCItIqVlRWMDA0x/uq/mg6FiIiIiCpYxPM8mJajPQsYWqZunbo4c+YMJJLy1KVImZycHMTFxcHW1pb5rWDMrXoxv+rF/KoX86tezK96qSO/VlZWsLGxqZC+iHSFjY0NYm/dQmpqaqWdk39+qob5Kj3mSjXMl2qYL9UwX6phvkqPuVJNYWFhudqzgKFl9PX14eTkBCMjI02HonNkMhkMDQ1hb2/P/FYw5la9mF/1Yn7Vi/lVL+ZXvZhfospjY2NTqcU9fr9Vw3yVHnOlGuZLNcyXapgv1TBfpcdcqSY6Orpc7fUqKA4iIiIiIiIiIiIiIqIKwxkYWqagoABRUVGcfqQGxdO7cnNzmd8KxtyqF/OrXsyvejG/6qVKfrl0ERFVN/Hx8a9dlop/P6mG+So95ko1zJdqmC/VMF+qYb5Kj7lSTWFhIQwNDcvcngUMLZP8JBm9P+it6TCIiIhIxxgaSXAr9iaLGERULcTHx8NeKoUsN1fToRARERFVaxEREWjSpEmZ27OAoWXkRXLUn+QDg4bmmg6FiIiIdEReQiYerzqN1NRUFjCIqFpITU2FLDcXIa52aG7CtamJiIiINKVWTYNytWcBQwsZNDSHYVNLTYdBRERERERUpTU3MYKzmbGmwyAiIiKqtuL1ROVqz5d4ExERERERERERERGR1mEBg4iIiIiIiIiIiIiItI7OFjCCgoLg7+8v/Lx7925IpVKkp6er5XzBwcG4cuWKWvomIiIiIqKq69WxSUXz9PREcHCw2vonIiIiItIUnS1gVLaQkBBERUVpOgwiIiIiIiIiIiIiIp3AAgYREREREREREREREWmdCi9gREVFYejQoXB1dYWHhwemTZuGtLQ0AEBgYCA6d+6MZ8+eCccfOHAAUqkUf//9t0IfI0aMgLu7O9zc3PDRRx/hn3/+Efbn5eVh+fLl6NSpExwdHdGzZ0/s27dP5VhL00/xdO8LFy7gww8/hKurK/r374/r168Lx0ilUgDA4sWLIZVKIZVKceHCBZXjISIiIiIi3XXq1Cn4+/vDyckJffv2xdWrV4V9ERERGDRoELy8vNCqVSsEBAQgOjq6RB/Hjh1Djx494OTkhP79+ys9hoiIiIhIV1RoASMqKgoBAQEwMTHBihUr8M033yAmJgaBgYEAgG+++QYymQzff/89ACA5ORnz58/HwIED0aFDBwDA5cuXERAQgLy8PHz77bcIDg5G586d8ejRI+E8kyZNQnh4OD799FP89NNP8PHxwYwZM3Dq1CmV4i1tPykpKfj2228xcuRIrFy5Es+fP8f48eORn58PAAgPDwcABAQEIDw8HOHh4XBwcChbEomIiIiISOekpKRg/vz5wpjCwMAAI0eOFB72SkhIwIcffohVq1Zh6dKlqF+/PgYPHoz79+8LfcTGxmLixImwtbVFSEgI+vTpg8mTJyMvL09Tl0VEREREpFb6FdnZsmXL4OjoiJCQEIhEIgCAnZ0d/P39cerUKfj6+mLBggUYP348/Pz88Ouvv8Lc3ByzZs0S+liyZAkaNWqELVu2oEaNGgCA9u3bC/vPnz+PEydOICwsTNjerl07pKSkIDg4GL6+vqWKVZV+nj59im3btqF58+YAAIlEgqFDh+LatWvw9PSEq6srAKB+/frC/xMRERFpm5ycHMhkMk2HUWXk5OQo/Leqk8vlwj06Vb7MzEysXLkSbdq0AQB4eXnB19cXmzdvxrRp0zB+/Hjh2KKiIrRr1w7R0dHYs2cPpk6dCgBYv3496tevjzVr1ghjpZo1a2LOnDnljk8ul+vUnw+68r0lIiIiqu4qrICRk5ODK1euYObMmSgsLBS229raon79+oiJiYGvry+6du2KDz/8EFOmTEFhYSG2b98OIyMjoY9r165h6tSpwg35q/755x+Ym5ujdevWKCgoELa3bdsWX3/9NQoLC1/btqz91KlTRyheAECzZs0AvJhBQkRERFRVxMXFwdDQUNNhVDlxcXGaDqHCGBgYaDqEasvExEQoXhT/3LZtW1y7dg0AcPfuXSxfvhxRUVHCrAxA8fN37do1+Pn5KYx3evToUSEFjPz8fMTGxpa7H22hS99bIiIiouqswgoYWVlZKCwsxMKFC7Fw4cIS+x8/fiz8v7+/PyIiIuDk5AQ3NzeFPoqKilCnTp3XnicjIwOZmZmvXaIpJSUF9erVe2u8qvRjamqqsE8sFgMAnj9//tbzEBEREWkLW1tb2NvbazqMKiMnJwdxcXGwtbWFRCLRdDjldufOHU2HUK1ZWFiU2GZpaYm7d+/i2bNnGDFiBCwsLBAUFIR33nkHNWvWxNy5cxXGHCkpKbC0tFTow9jYGDVr1ix3fGKxWHhQSxfk5uZqOgQiIiIiqgAVVsAwMTGBSCTCmDFj0KVLlxL7a9euDQCQyWRYsGABWrRogevXr+P3339Hv379hD709PTw5MmT157HzMwMFhYWWL9+vdL9ygYG6uyHiIiIqKqQSCTCzFcqPV3JG5eP0qz09PQS29LS0mBtbY2rV68iKSkJP/30E1q0aCHsz87OVng4y9raWmF2BgA8e/asQh6sEolEOvE5L6YLRUciIiIiqsAChpGREVxdXXHv3j04OTm99rhFixYhKysL27dvx4YNG/D999+jTZs2eOedd4Q+/vjjD4wYMULpUlBt27bFhg0bIBaLFW7uVVVR/RQTi8WckUFEREREREplZ2fj3LlzwjJS2dnZOHv2LAYPHizMFiie6Q0AV65cQWJiosJSts7Ozvjrr78we/ZsYax0+PDhSrwKIiIiIqLKVaEv8Z45cyaGDRuGyZMno1evXjA1NUVSUhLOnj2Lvn374vnz5wgPD8eKFStQp04dTJs2DadPn0ZQUBC2bNkCkUiEadOmYfjw4Rg+fDg++eQTmJmZ4caNG6hduzb69++Pdu3aoVOnThg1ahRGjRoFqVSKnJwc3LlzBw8ePMB3331Xqlgrqp9iTZo0wfHjx+Hp6QmJRILGjRvD2Ni4LGkkIiIiIiIdY25ujjlz5mDixIkwMTFBaGgo5HI5hg0bBuDFA2Hz58/HZ599huTkZAQHB6Nu3boKfXz22Wfo378/xo0bh0GDBiEhIQFhYWEVsoQUEREREZE20qvIztzd3fHLL79AJpNh9uzZ+Oyzz/Djjz/C0NAQ7777LubMmYNevXrhvffeAwDUrFkTixcvxuXLl7FlyxYAgKenJ7Zu3QqRSITZs2dj/PjxOHbsGBo0aCCcZ/Xq1Rg4cCB27NiB0aNHY86cOThz5gxatWqlUrwV1Q8AzJs3D3K5HKNHj0b//v1x48YNlfsgIiIiIiLdZG1tjXnz5mH9+vWYNGkSnj9/jrCwMFhZWcHKygqrVq1Ceno6AgMDsWXLFsyfPx+NGjVS6KNly5ZYtWoV7t+/j/Hjx+P333/HihUr+HJ2IiIiItJZIrlcLtd0EPRCTEwM7t27h0m3w2DY1PLtDYiIiIhKIfduGh7M2IfLly/D3d1d0+FUGTKZDLGxsbC3t9eJdwPExMQAwBuXe6XqSRc/G1euXIGHhweO+LjC2Ywz44mIiIg0JX7CHEjqNyjzvWaFzsAgIiIiIiIiIiIiIiKqCCxgEBERERERERERERGR1mEBg4iIiIiIiIiIiIiItI6+pgOgkvISMjUdAhEREekQ3lsQUXV1O1um6RCIiIiIqrVaRXJIytGeBQwtI9IT4fGq05oOg4iIiHSMoZEEVlZWmg6DiKhSWFlZwcjQEOOv/qvpUIiIiIiqtYjneTAtR3sWMLRM3Tp1cebMGUgk5alLkTI5OTmIi4uDra0t81vBmFv1Yn7Vi/lVL+ZXvVTJr5WVFWxsbCopMiIizbKxsUHsrVtITU1Vup9/P6mG+So95ko1zJdqmC/VMF+qYb5Kj7lSTWFhYbnas4ChZfT19eHk5AQjIyNNh6JzZDIZDA0NYW9vz/xWMOZWvZhf9WJ+1Yv5VS/ml4jo9WxsbF5buOWfn6phvkqPuVIN86Ua5ks1zJdqmK/SY65UEx0dXa72fIk3ERERERERERERERFpHc7A0DIFBQWIiori9CM1KJ7elZuby/xWMOZWvZhf9WJ+y45LEhEREZGuiY+Pf+3SY6XBe0vVMF+qYb5Uw3yphvkqPeZKNYWFhTA0NCxzexYwtEzyk2T0/qC3psMgIiJ6K0MjCW7F3mQRg4iIiHRCfHw87KVSyHJzNR0KERGRzoiIiECTJk3K3J4FDC0jL5Kj/iQfGDQ013QoREREr5WXkInHq04jNTWVBQwiIiLSCampqZDl5iLE1Q7NTbimORERUUWoVdOgXO1ZwNBCBg3NYdjUUtNhEBEREREREVU7zU2M4GxmrOkwiIiIdEK8nqhc7fkSbyIiIiIiIiIiIiIi0josYBARERERERERERERkdbR2QJGUFAQ/P391X6e2NhYBAcHIycnR+3nIiIiIiIi3bV48WK0b98eLVq0wHfffVfqdgEBARgzZowaIyMiIiIi0gy+A6OcYmNjERISgsGDB0MikWg6HCIiIiIiqoLOnj2LsLAwzJ49Gy4uLqhTp46mQyIiIiIi0jgWMIiIiIiIiDTs3r17AIChQ4dCT09nJ8oTEREREalE5++MT506BX9/fzg5OaFv3764evWqwv7du3fj/fffh5OTE3x8fLBixQoUFhYK+7OysjB37lz4+PjAyckJvr6+mDJlitB29uzZAIA2bdpAKpXCz8+v0q6NiIiIiIgqX1RUFMaOHYv27dvD1dUVvXv3RkREhLC/S5cuWLlypfDzkSNHIJVK8cMPPwjbTp8+DalUivT0dAQEBOCbb74BANjb20MqleLChQsIDg6Gm5tbifN7enoiODhYbddHRERERKQtdHoGRkpKCubPn48JEybA1NQUoaGhGDlyJI4ePQpLS0ts2rQJS5YswbBhwxAUFIS7d+8KBYzp06cDABYuXIjTp09j2rRpaNCgAVJSUvD3338DADp27IjPP/8ca9euxYYNG2BiYgIDAwNNXjIREREREanZo0eP4O7ujkGDBsHAwABXrlzB3LlzIZfL0adPH7Rq1QqXLl0Sjo+MjETNmjVLbGvSpAksLCzw1VdfYefOndiyZQvCw8MBAM2aNcPFixcr/dqIiIiIiLSJThcwMjMzsXLlSrRp0wYA4OXlBV9fX2zevBljxozB6tWrMWrUKEydOhUA0K5dO4jFYixatAgjR45E7dq1ERMTA39/f/Tp00fot1evXgAACwsL2NjYAAAcHBxgYWFRyVdIRESkWTk5OZDJZG/c//J/qWIxv+qla/mVy+UQiUSaDkMnFI8HgBd5bdWqFZKTkxEeHo4+ffrA09MTBw4cQF5eHgwMDBAZGYmPPvoIv/76K/777z/UqlULkZGRaNWqFYAXxYp33nkHAODq6qqJS4JcLn/jn+e6Rte+3+pWXfKl69dHRERUFel0AcPExEQoXhT/3LZtW1y7dg1RUVGQyWTo0aMHCgoKhGPatm2L3Nxc3L59G15eXmjZsiX27NkDa2tr+Pj4wM7OThOXQkREpJXi4uJgaGhYquNIfZhf9dKl/HK2cMV4+vQpgoODcfz4cSQnJwtL0JqbmwMAWrVqhefPnyM6Ohp2dnb4999/sXz5cuzfvx9XrlyBl5cXYmJiMGjQIA1ehaL8/HzExsZqOoxKp0vf78qg6/nS9esjIiKqinS6gKFsRoSlpSXu3r2LjIwMAFCYWfGyx48fAwC+/PJLmJmZYdOmTVi8eDHq16+Pzz77DJ988on6AiciIqoibG1tYW9v/9r9OTk5iIuLg62tLSQSSSVGVj0wv+qla/m9c+eOpkPQGUFBQYiKisK4cePQrFkzGBsbY8eOHTh06BAAwMbGBnXr1kVkZCSys7NhaWmJpk2bwt3dHZcuXYKBgQHy8/OFGRjaQCwWo1mzZpoOo9Lo2vdb3apLvnJzczUdAhEREb1CpwsY6enpJbalpaXB2toaZmZmAICQkBDUq1evxHENGzYE8GLWxpw5czBnzhzcunULW7duxfz582FnZwdPT0/1XgAREZGWk0gkMDIyqrDjqGyYX/XSlfxy+aiK8fz5c5w8eRJBQUEICAgQtv/yyy8KxxW/ByM7OxseHh7Ctj///BNisRgNGjRA/fr133iumjVrIj8/X2Fbfn6+WpZ6EolEOvE5V5WufL8ri67nS5eLM0RERFWVnqYDUKfs7GycO3dO4eezZ8/CxcUFbm5ukEgkSEpKgpOTU4lftWvXLtGfVCrF7NmzAQB3794F8OJJJQDIy8urhCsiIiIiIiJNysvLQ1FRkTAOAIBnz57hxIkTCsd5enriypUrOH/+PLy8vAC8KGDExMTgzJkzpXoYqm7dusjPz0d8fLyw7fz588KSVUREREREuk6nZ2CYm5tjzpw5mDhxIkxMTBAaGgq5XI5hw4bB1NQUEydOxJIlS5CUlAQvLy/UqFEDDx8+xPHjxxEcHAyJRIKBAweia9euaN68OWrUqIGIiAiIxWJhwNG0aVMAwPbt29GlSxcYGhpCKpVq8rKJiIiIiEhNTExM4OTkhNDQUFhYWEBfXx/r16+HsbGxwgzwVq1aQSaT4caNG1i4cCEAoGXLljAwMEBUVBT69ev31nN16NABRkZGmDt3LkaPHo2kpCRs3boVNWvWVNv1ERERERFpE50uYFhbW2P69OlYvHgx4uPj0bx5c4SFhcHKygoAMGLECNStWxebNm3Ctm3boK+vDxsbG3Ts2FF4osrd3R0RERFISEiAnp4e7OzssG7dOqFw0bJlS0yYMAG7du3Chg0bUL9+/RJPXxERERERke5YtmwZ5s2bh6CgIJibmyMgIAAymQwbN24UjmnWrBksLCxQVFQEOzs7AECNGjXg7u6O06dPl2oGRu3atbF69Wr88MMPGDduHOzt7bF48WKFpauIiIiIiHSZSC6XyzUdBL0QExODe/fuYdLtMBg2tdR0OERERK+VezcND2bsw+XLl+Hu7v7a42QyGWJjY2Fvb6/Ta2ZrCvOrXrqW35iYGACAk5OThiMhbVMdPxu69v1Wt+qSrytXrsDDwwNHfFzhbGas6XCIiIh0QvyEOZDUb1Dme02dfgcGERERERERERERERFVTSxgEBERERERERERERGR1mEBg4iIiIiIiIiIiIiItI5Ov8S7qspLyNR0CERERG/Ev6uIiIhIV93Olmk6BCIiIp1Rq0gOSTnas4ChZUR6IjxedVrTYRAREb2VoZEEVlZWmg6DiIiIqEJYWVnByNAQ46/+q+lQiIiIdEbE8zyYlqM9Cxhapm6dujhz5gwkkvLUpUiZnJwcxMXFwdbWlvmtYMytejG/6sX8lp2VlRVsbGw0HQYRERFRhbCxsUHsrVtITU0tcx+8t1QN86Ua5ks1zJdqmK/SY65UU1hYWK72LGBoGX19fTg5OcHIyEjToegcmUwGQ0ND2NvbM78VjLlVL+ZXvZhfIiIiIipmY2NTrgc0eG+pGuZLNcyXapgv1TBfpcdcqSY6Orpc7fkSbyIiIiIiIiIiIiIi0jqcgaFlCgoKEBUVxelHalA8vSs3N5f5rWDMrXoxv+rF/L4el4giIiIiKpuHDx/iv//+03QYWo/34qphvlTDfKmG+So95ko1hYWFMDQ0LHN7FjC0TPKTZPT+oLemwyAiIoKhkQS3Ym+yiEFERESkgqSkJHzcvz9kubmaDoWIiEjjIiIi0KRJkzK3ZwFDy8iL5Kg/yQcGDc01HQoREVVjeQmZeLzqNFJTU1nAICIiIlJBZmYmZLm5CHG1Q3MTro1ORETVW62aBuVqzwKGFjJoaA7DppaaDoOIiIiIiIiIyqi5iRGczYw1HQYREZFGxeuJytWeL/EmIiIiIiIiIiIiIiKtwwIGERERERERERERERFpnWpTwMjMzMS4cePQqlUrSKVSHDt2rML6PnbsGLZv315h/RERERERUfW2e/du7Nu3T9NhEBERERFpVLV5B8amTZtw4cIF/PDDD7C0tETjxo0rrO9jx47h+vXrGDx4cIX1SURERERE1deePXtgZGSE999/X9OhEBERERFpjM4XMHJzc2FoaIj79+9DKpWic+fOmg6JiIiIiIiIiIiIiIjeQiuWkAoKCoK/vz9OnToFf39/ODk5oW/fvrh69arCcbt378b7778PJycn+Pj4YMWKFSgsLFTYL5VKERUVhU8//RSurq5YvHgxpFIpjhw5gkuXLkEqlUIqlQptoqKiMHToULi6usLDwwPTpk1DWlqawnnz8vKwYsUKdO7cGY6OjujQoQOCgoKE2Pfs2YPbt28LfRfvIyIiIiKiqq14DBEfHy9sGzt2LKRSKW7fvi1smzp1Kj777DMAwNKlS/H+++/Dzc0NPj4+mDp1Kp48eaLQ7+XLlzF48GB4eHjAzc0N77//Pvbs2QMACAgIwMWLF3Hy5ElhjBEcHCy0PXnyJD766CM4OzujdevW+OqrryCTydSZBiIiIiIijdCaGRgpKSmYP38+JkyYAFNTU4SGhmLkyJE4evQoLC0tsWnTJixZsgTDhg1DUFAQ7t69KxQwpk+frtDXtGnTMGDAAIwZMwYSiQQffPABli5div/++w9fffWVcFxUVBQCAgLg6+uLFStWICcnBytXrkRgYCDCw8OF4yZMmIDz589jzJgxcHV1RXp6Oo4ePQoACAwMRHp6Ou7du4elS5cCACwsLCohY0REREREpG7Ozs6oWbMmIiMjYWNjg6KiIly+fFnY1rx5cwBAZGQkAgICAABpaWkYM2YM6tSpg/T0dGzatAkBAQE4cOAA9PX18ezZM4wZMwYeHh5Yvnw5DAwMcOfOHWRlZQEAvvrqK8yYMQOGhoaYNWsWAKBevXoAgMOHD2PKlCno27cvJkyYgJSUFCxbtgxZWVlYsWKFBjJERERERKQ+WlPAyMzMxMqVK9GmTRsAgJeXF3x9fbF582aMGTMGq1evxqhRozB16lQAQLt27SAWi7Fo0SKMHDkStWvXFvoaOHCg8PRTMVNTU4hEIri6ugrbli1bBkdHR4SEhEAkEgEA7OzshNkgvr6++Oeff3Dy5EksW7YM/v7+Qtvi/7exsYGFhQUePXqk0DcREZEuyMnJKddTvTk5OQr/pYrF/KqXruVXLpcL97xUegYGBnB2dsalS5fQr18/3Lp1Czk5Oejbty8iIyPxySef4MGDB3jy5AlatWoFAFi4cKHQvrCwEG5ubujQoQPOnz+P9u3b4/79+8jOzsbUqVOF2eHF4yAAaNasGYyNjWFkZKQwxpDL5Vi8eDHee+89fPfdd8J2a2trfPbZZwgMDBQKKqqSy+XVahaHrn2/1Y35Kj3miIiIqGJpTQHDxMRE4abdxMQEbdu2xbVr1xAVFQWZTIYePXqgoKBAOKZt27bIzc3F7du34eXlJWzv2LHjW8+Xk5ODK1euYObMmQrLUNna2qJ+/fqIiYmBr68vzp07B4lEgl69elXMhRIREVUhcXFxMDQ0rJB+SH2YX/XSpfwaGBhoOoQqydPTE/v37wfwYqZF8bKyX3/9tbBNIpHA0dERAHDq1CmsXbsWt2/fxrNnz4R+4uLi0L59e9jY2MDY2Bhff/01AgIC0Lp161LN4r5//z4SExPxxRdfKIyLvLy8oKenh+vXr5e5gJGfn4/Y2Ngyta3KdOn7XRmYLyIiIqpsWlPAUHbDbmlpibt37yIjIwMA0KdPH6VtHz9+rPCzlZXVW8+XlZWFwsJCLFy4UOEJqVf7zMzMhLW1NZ9WIyKiasnW1hb29vZlbp+Tk4O4uDjY2tpCIpFUYGQEML/qpmv5vXPnjqZDqLK8vLywdu1aJCcn49KlS/D09ISnpydSU1MRFxeHS5cuwcXFBWKxGNHR0QgMDETnzp0xevRoWFpaQiQS4eOPP8bz588BAGZmZti0aRNWr14tPFDl6emJuXPnKryv71XF46Jx48Yp3f/quEgVYrEYzZo1K3P7qkbXvt/qxnyVXk5ODm7evKnpMIiIiHSG1hQw0tPTS2xLS0uDtbU1zMzMAAAhISHC2q8va9iwocrnMzExgUgkwpgxY9ClS5cS+4uXpDI3N0dKSgqn3BMRUbUkkUhgZGSkNf2QcsyveulKfnkvW3aurq4Qi8WIjIwUlpIyNzdH8+bNERkZicjISHz44YcAgGPHjsHY2BgrV66Enp4eACAxMbFEn87OztiwYQNyc3Nx4cIF/PDDDxg3bhyOHTv22jjMzc0BAPPmzYOzs3OJ/XXq1CnzNYpEIp34nKtKV77flYX5IiIiosqmNQWM7OxsnDt3TlhGKjs7G2fPnsXgwYPh5uYGiUSCpKQkdO3atULOV7ye7L179+Dk5PTa49q2bYvQ0FAcOnQI7733ntJjxGKx8DQVERERERHpFiMjI7Rs2RLh4eHIzMyEh4cHAKBVq1bYu3cvEhIS4OnpCQDIzc2FWCxWKBjt27fvtX0bGhrC19cX8fHx+O677/D8+XPUrFlT6RijSZMmqFevHh4+fIjBgwer4UqJiIiIiLSL1hQwzM3NMWfOHEycOBEmJiYIDQ2FXC7HsGHDYGpqiokTJ2LJkiVISkqCl5cXatSogYcPH+L48eMIDg4u0zTWmTNnYtiwYZg8eTJ69eoFU1NTJCUl4ezZs+jbty+8vb3Rtm1b+Pr64osvvkB8fDxcXFyQmZmJI0eOYOXKlQCApk2b4vfff8f+/fvRqFEj1K5du0yzQoiIiIiISDt5enoiLCwMDg4OMDY2FrZt374dYrEYbm5uAIB27dphy5Yt+Oabb9C1a1dERUXhjz/+UOjr5MmT+O2339ClSxe88847SE1NxbZt2+Du7o6aNWsCeFGsiIiIwIkTJ2BtbY06deqgbt26CAoKwvTp0yGTydCxY0dIJBI8evQIp06dwpQpU9C4cePKTQwRERERkRppTQHD2toa06dPx+LFixEfH4/mzZsjLCxMeJ/FiBEjULduXWzatAnbtm2Dvr4+bGxs0LFjR4jF4jKd093dHb/88guCg4Mxe/Zs5Ofno169emjdujUaNWokHBccHIyQkBCEh4cjJCQElpaWaNeunbC/f//+iI6OxjfffIPMzEz06dMHixYtKl9CiIiIiIhIa3h5eSEsLEyYaQG8mIEBAI6OjjA0NAQA+Pr6Yvr06di2bRt2794Nd3d3/PTTT+jevbvQzsbGBnp6eli5ciXS0tJgbm6O9u3bY+rUqcIxo0ePRnx8PGbNmoWsrCyMHz8eEyZMQM+ePWFqaop169YJMzsaNGgAHx+fUr0LkIiIiIioKhHJ5XK5poMICgrC9evXsX//fk2HolExMTG4d+8eJt0Og2FTS02HQ0RE1Vju3TQ8mLEPly9fhru7e5n7kclkiI2Nhb29PdfMVgPmV710Lb8xMTEA8MblU6l6qo6fDV37fqsb81V6MpkMe/bswZAhQ3DExxXOZsaaDomIiEij4ifMgaR+gzLfa+pVcDxERERERERERERERETlxgIGERERERERERERERFpHa14BwbfF0FERERERERERERERC/TigIGKcpLyNR0CEREVM3x7yIiIiKi8rmdLdN0CERERBpXq0gOSTnas4ChZUR6IjxedVrTYRAREcHQSAIrKytNh0FERERUpZibm8PI0BDjr/6r6VCIiIg0LuJ5HkzL0Z4FDC1Tt05dnDlzBhJJeepSpExOTg7i4uJga2vL/FYw5la9mF/1Yn5fz8rKCjY2NpoOg4iIiKhKqVevHq5cvYr//vtP06FoPd6Lq4b5Ug3zpRrmq/SYK9UUFhaWqz0LGFpGX18fTk5OMDIy0nQoOkcmk8HQ0BD29vbMbwVjbtWL+VUv5peIiIiIKtq7777Le8tS4L24apgv1TBfqmG+So+5Uk10dHS52utVUBxEREREREREREREREQVhjMwtExBQQGioqI4/UgNiqd35ebmMr8VjLlVL+ZXvapLfrkcFBEREVH1FR8fj9TUVE2HUUJ1uRevKMyXapgv1TBfpcdcqaawsBCGhoZlbs8ChpZJfpKM3h/01nQYRESkYwyNJLgVe5NFDCIiIqJqJj4+HvZSKWS5uZoOhYiIqqGIiAg0adKkzO1ZwNAy8iI56k/ygUFDc02HQkREOiIvIROPV51GamoqCxhERERE1UxqaipkubkIcbVDcxOu1U5ERJWrVk2DcrVnAUMLGTQ0h2FTS02HQUREREREREQ6ormJEZzNjDUdBhERVTPxeqJytedLvImIiIiIiIiIiIiISOuwgEFERERERERERERERFqnyhcwvvvuO/j5+VVon/v27UO3bt3g4OCA3r1L/0Lt4OBguLm5VWgsRERERERUuYKCguDv76+2/hMSEiCVSnH48GG1nYOIiIiISBfwHRiv+O+///DFF1/A398fCxcuhLEx14ckIiIiIqKKU6dOHYSHh8PW1lbToRARERERaTUWMP6/vLw86OvrIzExEXl5efjggw/g4eGh6bCIiIiIiEiH5ObmwtDQEK6urpoOhYiIiIhI66m0hNSlS5cglUoRHx8vbBs7diykUilu374tbJs6dSo+++wzAEBmZiZmz54Nb29vODs7Y+DAgYiMjFToNyAgAGPGjMHhw4fRvXt3uLm5YejQoQrnAYDk5GSMHTsWLi4u8PHxQWhoqNI4k5KSMH36dOGcgwcPxvXr1xWO8fPzw4IFCxAaGopOnTrB2dkZ3377Ld5//30AwPDhwyGVShEcHIwLFy5AKpUiJiZGoY/AwEAEBASokkIiIiIiIqoiTp06BX9/fzg5OaFv3764evWqsK+oqAg//vgj/Pz84OjoiB49euDXX39VaF+8xGx0dDQGDBgAJycnbN++XekSUsXjk+3bt6NTp07w8PBAYGAg0tPTFfq8ffs2Bg8eDCcnJ3Tr1g179+7luISIiIiIdJZKMzCcnZ1Rs2ZNREZGwsbGBkVFRbh8+bKwrXnz5gCAyMhIBAQEoLCwEKNHj8bDhw8xffp0WFlZ4eeff8ann36KX3/9FY6OjkLfsbGxSE9Px/Tp01FYWIhFixZhxowZCA8PF44JDAxEcnIyvv76a5iYmCA0NBSPHz+Gvv7/XcbTp0/xySefwMjICF9++SVMTEzw888/Y9iwYTh69CgsLS2FY48ePYpGjRphzpw50NPTg729PZydnTFr1izMmzcPDg4OqFevHh48eFDmBBMRERERUdWTkpKC+fPnY8KECTA1NUVoaChGjhwpjCkWL16MrVu34vPPP4ebmxtOnjyJr776CgUFBRgyZIjQT35+PqZNm4bhw4djypQpMDc3f+05T5w4gQcPHmDevHnIyMjAwoUL8c0332DFihUAXszeGDFiBExNTbFkyRIAwJo1a5CVlQUbGxu15oOIiIiISBNUKmAYGBjA2dkZly5dQr9+/XDr1i3k5OSgb9++iIyMxCeffIIHDx7gyZMnaNWqFU6ePIno6Ghs2LABPj4+AID27dujW7du+OmnnxAcHCz0nZ2djYiICFhYWAAAZDIZZs+ejaSkJNSrVw9///03rl+/js2bN6NNmzYAAG9vb/j6+ioMArZs2YKsrCzs2rVLKFa0adMG3bt3R1hYGGbOnCkcm5+fj9DQUBgZGQnbpFIpAKBZs2bCtG4WMIiISBfk5ORAJpNV+jlf/i9VLOZXvXQtv3K5HCKRSNNhVBmZmZlYuXKlMPbw8vKCr68vNm/ejE8//RTbtm3DyJEjMWHCBAAvxjkZGRlYs2YNBg0ahBo1agB4MeaYMmUK3nvvPaHvhIQEpeeUy+VYu3YtDAwMAACJiYn46aefUFRUBD09Pfz+++9IS0vDjh070LBhQwCAo6MjunXrVu4Chlwur/S/IzRJ177f6sZ8lZ425kqbYiEiIlKVyu/A8PT0xP79+wG8mGnh6OiIDh064Ouvvxa2SSQSODo6Yvny5TA2NhaKFwAgFovRtWtXoY9iLVq0EIoXwIsCAgChgBEdHQ0TExNhAAEAJiYmaNu2Lf73v/8J2/755x94e3vDzMwMBQUFAAA9PT20atWqxBJQ3t7eCsULIiIiXRYXFwdDQ0ONnZvUh/lVL13Kb/E/jNPbvW7sce3aNURHRyM/Px89evRQaNOzZ0/s378fcXFxaNq0qbDd19e3VOds1aqVwu9R06ZNkZ+fj7S0NFhbW+P69euws7MTihcA0LBhQ7Ro0aKslynIz89HbGxsufupanTp+10ZmK/S06ZcaVMsREREqlK5gOHl5YW1a9ciOTkZly5dgqenJzw9PZGamoq4uDhcunQJLi4uEIvFyMrKUliyqZiVlRWePn2qsM3U1FThZ7FYDAB4/vw5AODJkycKBY5ir/afkZGBq1evwsHBocSxrz6VpCw2IiIiXWVrawt7e/tKPWdOTg7i4uJga2sLiURSqeeuDphf9dK1/N65c0fTIVQprxt73L17VxjLWFlZKewv/jkzM1PYJpFIUKtWrVKd89UxUXEx421jIgsLC+GYshKLxcJDZNWBrn2/1Y35Kj1tzFVubq6mQyAiIiozlQsYrq6uEIvFiIyMFJaSMjc3R/PmzREZGYnIyEh8+OGHAAAzMzOkpaWV6CM1NRVmZmYqnbdOnTolXmAHoET/ZmZm8PHxwaRJk0oc++oTZ6WdQl+zZk0AL55KellWVhan4RMRUZUhkUg0NvNQk+euDphf9dKV/PK+VTWvG3tYW1sLS9impaWhbt26wv7U1FQAUFjitiLzXqdOHaWzJNLT00tdJHkdkUikE59zVenK97uyMF+lp0250pZCChERUVnoqdrAyMgILVu2RHh4ODIzM+Hh4QHgxXTnvXv3IiEhAZ6engAADw8PPHv2DGfOnBHaFxQU4NixY0K70nJyckJ2djbOnTsnbMvOzsbZs2cVjmvbti3u3r2Lpk2bwsnJSeFX8fstVFWvXj0AwN27d4Vt6enpuHHjRpn6IyIiIiIi7fa6sYeLiwucnJwgFotx+PBhhTaHDh2CpaUlbG1t1RKTo6Mjbt26hYcPHwrbEhIScPPmTbWcj4iIiIhI01SegQG8eA9GWFgYHBwcYGxsLGzbvn07xGIx3NzcAAAdO3aEs7MzZsyYgWnTpsHKygo///wznjx5gtWrV6t0zg4dOsDBwQEzZszA9OnTYWJigvXr1wvnLzZ8+HDs27cPQ4YMwdChQ/HOO+8gPT0d165dQ926dTF8+HCVr7devXpwcXHBmjVrYGJiAn19fYSGhsLExETlvoiIiIiISPuZm5tjzpw5mDhxIkxMTBAaGgq5XI5hw4bBwsICQ4YMQVhYGAwMDODq6opTp05h//79+PLLL4UXeFe0fv36Yd26dRg7dqzw8vCQkBBYWVlxhg0RERER6aQyFTC8vLwQFhYmzLQAXszAAF48FVT8gtAaNWpg/fr1WLx4MZYsWQKZTAYHBwds3LgRjo6OKp1TJBLhxx9/xFdffYV58+bB1NQUAQEBSE1NxfHjx4XjateujfDwcKxcuRJLly5FZmYmLC0t4eLigq5du5blcgEAS5cuxdy5czF79mxYWVlh8uTJOHDgALKzs8vcJxERERERaSdra2tMnz4dixcvRnx8PJo3b46wsDDhPRczZ86EiYkJfvvtN6xbtw4NGjTA/PnzMXDgQLXFZGhoiI0bN+Krr77C9OnTUbduXQQGBiIiIoIPVxERERGRThLJ5XK5poOgF2JiYnDv3j1Muh0Gw6Z8wTgREVWM3LtpeDBjHy5fvgx3d/dKPbdMJkNsbCzs7e21Zh1oXcL8qpeu5TcmJgbAi6VZSXdkZmaiS5cuGD58OMaPH1+mPqrjZ0PXvt/qxnyVnjbm6sqVK/Dw8MARH1c4mxm/vQEREVEFip8wB5L6Dcp8r1mmGRhERERERERU+davXw8rKys0aNAAKSkp2LhxIwoLC9GvXz9Nh0ZEREREVOFYwCAiIiIiIqoi9PT0sHbtWiQnJ6NGjRpwcXHBli1bUL9+fU2HRkRERERU4VjAICIiIiIiqiJGjRqFUaNGaToMIiIiIqJKwQKGFspLyNR0CEREpEP49woRERER3c6WaToEIiKqhmoVySEpR3sWMLSMSE+Ex6tOazoMIiLSMYZGElhZWWk6DCIiIiKqZFZWVjAyNMT4q/9qOhQiIqqGIp7nwbQc7VnA0DJ169TFmTNnIJGUpy5FyuTk5CAuLg62trbMbwVjbtWL+VWv6pJfKysr2NjYaDoMIiIiIqpkNjY2iL11C6mpqZoOpYTqci9eUZgv1TBfqmG+So+5Uk1hYWG52rOAoWX09fXh5OQEIyMjTYeic2QyGQwNDWFvb8/8VjDmVr2YX/VifomIiIhI19nY2Gjlwyy8F1cN86Ua5ks1zFfpMVeqiY6OLld7vQqKg4iIiIiIiIiIiIiIqMJwBoaWKSgoQFRUFKcfqUHx9K7c3Fzmt4Ixt+rF/KpXReeXSzURERERkS6Kj4+v8GWoONZRDfOlGuZLNcxX6TFXqiksLIShoWGZ27OAoWWSnySj9we9NR0GERGVkaGRBLdib7KIQUREREQ6Iz4+HvZSKWS5uZoOhYiIqpiIiAg0adKkzO1ZwNAy8iI56k/ygUFDc02HQkREKspLyMTjVaeRmprKAgYRERER6YzU1FTIcnMR4mqH5iZc752IiEqvVk2DcrVnAUMLGTQ0h2FTS02HQUREREREREQkaG5iBGczY02HQUREVUi8nqhc7fkSbyIiIiIiIiIiIiIi0josYBARERERERERERERkdbRWAFj8+bN6NixI+zt7REYGKipMBQkJCRAKpXi8OHDwrbNmzfj1KlTGoyKiIiIiIiIiIiIiKj60cg7MOLi4rBo0SKMHj0anTp1Qu3atTURRgl16tRBeHg4bG1thW1bt25Fx44d4evrq7nAiIiIiIiIiIiIiIiqGY0UMO7fvw+5XI6PP/4Y7777riZCKCE3NxeGhoZwdXXVdChEREREREQqKx7TEBERERHpikpfQiooKAhjx44FAHTp0gVSqRTbt2/HggUL0L17d7i4uMDPzw/z5s1Ddna2Qjt/f/8S/f3111+QSqW4d+8eAKCoqAg//vgj/Pz84OjoiB49euDXX39VaBMcHAw3NzdER0djwIABcHJywvbt20ssIeXn54fExERs374dUqkUUqkUu3fvFvrZvXs33n//fTg5OcHHxwcrVqxAYWFhheeMiIiIiIi0X/GY5dSpU/D394eTkxP69u2Lq1evCseUZrwCAJGRkRg4cCCcnZ3h7e2N2bNnIzMzU9hfPHbZvXs35s6dC29vb3z00UeVcJVERERERJWn0gsYgYGBmD59OgAgJCQE4eHh6NmzJwoLCzFlyhSEhoZi0qRJiIyMVHg3Rq9evXD79m38+++/Cv3t378fDg4OaNKkCQBg8eLFCAkJQZ8+fbBu3Tq0b98eX331FbZt26bQLj8/H9OmTcMHH3yA0NBQtGvXrkSsISEhsLa2Rvfu3REeHo7w8HB07NgRALBp0ybMnTsX7du3x7p16zB69Ghs3boVK1asqMh0ERERERFRFZKSkoL58+dj5MiRWLlyJQwMDDBy5EikpaUBKN145fr16/j0009Rq1YtrFq1CtOnT8dff/2F0aNHl3hgavny5ZDL5Vi2bBlmzJhRqddKRERERKRulb6ElI2NDRo3bgwAsLe3R8OGDQEA8+fPF44pKChAw4YN8cknn+D+/fto3Lgx2rRpAwsLCxw4cAB2dnYAgJycHJw4cQLjx48HAKSnp2Pbtm0YOXIkJkyYAABo3749MjIysGbNGgwaNAg1atQA8KKAMWXKFLz33nvCeRMSEhRibdmyJQwMDGBlZaWwtNSzZ8+wevVqjBo1ClOnTgUAtGvXDmKxGIsWLcLIkSO15r0eRERU+XJyciCTyTQdhlbIyclR+C9VLOZXvXQtv3K5HCKRSNNh6LzMzEysXLkSbdq0AQB4eXnB19cXmzdvxqefflqq8cq6detgbW2NdevWQSwWAwDq16+PkSNH4tSpU/Dz8xPO16JFC3z33Xfljlsul1erv7t07futbsxX6elqrnTteoiIqOrQyDswlImIiMDmzZvx4MEDhRvnuLg4NG7cGPr6+ujRowcOHjyIKVOmAHixfFROTg569eoFAIiOjkZ+fj569Oih0HfPnj2xf/9+xMXFoWnTpsL2sr6YOyoqCjKZDD169EBBQYGwvW3btsjNzcXt27fh5eVVpr6JiKjqi4uL4xrkr4iLi9N0CDqN+VUvXcqvgYGBpkPQeSYmJkLxovjntm3b4tq1a6Uer1y6dAn+/v5C8QJ4UegwNTXF5cuXFQoYxTPEyys/Px+xsbEV0ldVokvf78rAfJWeruVK166HiIiqDq0oYPz555+YNWsWBgwYgClTpsDc3BwpKSkYN24cnj9/LhzXq1cv/PLLL4iOjoazszMOHDgAT09P1KtXDwDw9OlTAICVlZVC/8U/v7xmrEQiQa1atcoUb0ZGBgCgT58+Svc/fvy4TP0SEZFusLW1hb29vabD0Ao5OTmIi4uDra0tJBKJpsPROcyveulafu/cuaPpEKoFCwuLEtssLS1x9+7dUo9XsrKyYGlpqbSf4j5e3lYRxGIxmjVrViF9VQW69v1WN+ar9HQ1V7m5uZoOgYiIqimtKGAcPnwY9vb2WLBggbDt4sWLJY7z8PBA/fr1ceDAATRu3Bh///03vvjiC2G/ubk5ACAtLQ1169YVtqempirsB1Cu6fNmZmYAXrwjo7h48rLiZbGIiKh6kkgkMDIy0nQYWoU5US/mV710Jb9cPqpypKenl9iWlpYGa2vrUo9XzMzMhHdmvNpP8VikWEX9vopEIp34nKtKV77flYX5Kj1dy5UuFWOIiKhqqfSXeCuTm5urMD0aAPbt21fiOJFIhPfeew+HDh3CkSNHUFRUhO7duwv7nZycIBaLcfjwYYV2hw4dgqWlJWxtbVWOTSwWK8wCAQA3NzdIJBIkJSXBycmpxC++/4KIiIiIqHrKzs7GuXPnFH4+e/YsXFxcSj1e8fDwwPHjxxWWq/3nn3+QlZUFDw+PSrkOIiIiIiJtoBUzMNq2bYsFCxZgzZo1cHNzw6lTpxRu+l/m7++PsLAwrFq1Cu3atVOYom1hYYEhQ4YgLCwMBgYGcHV1xalTp7B//358+eWXwgu8VdGkSROcP38e//zzD0xNTdGwYUPUrl0bEydOxJIlS5CUlAQvLy/UqFEDDx8+xPHjxxEcHMynE4iIiIiIqiFzc3PMmTMHEydOhImJCUJDQyGXyzFs2LBSj1fGjh2LgQMHYsyYMQgICEBqaiqWLVsGZ2fnMr/Hj4iIiIioKtKKAsbAgQORkJCAbdu2ISwsDO3bt8eyZcvw8ccflzi2ZcuWaNy4Me7fv4/p06eX2D9z5kyYmJjgt99+w7p169CgQQPMnz8fAwcOLFNsU6dOxddff40JEybgv//+w8KFC9G3b1+MGDECdevWxaZNm7Bt2zbo6+vDxsYGHTt2LDGbhIiIiIiIqgdra2tMnz4dixcvRnx8PJo3b46wsDDhPRelGa84Ojpi48aNWL58OSZMmAAjIyP4+flh1qxZZXooi4iIiIioqhLJ5XK5poOgF2JiYnDv3j1Muh0Gw6YV8zI+IiKqPLl30/Bgxj5cvnwZ7u7umg5HK8hkMsTGxsLe3l6n1oHWFsyveulafmNiYgC8WHaV1CMoKAjXr1/H/v37NR2KSqrjZ0PXvt/qxnyVnq7m6sqVK/Dw8MARH1c4mxlrOhwiIqpC4ifMgaR+gzLfa2rFOzCIiIiIiIiIiIiIiIhexgIGERERERERERERERFpHa14BwYREREREVFVt2jRIk2HQERERESkU1jA0EJ5CZmaDoGIiMqAf34TERERkS67nS3TdAhERFTF1CqSQ1KO9ixgaBmRngiPV53WdBhERFRGhkYSWFlZaToMIiIiIqIKY2VlBSNDQ4y/+q+mQyEioiom4nkeTMvRngUMLVO3Tl2cOXMGEkl56lKkTE5ODuLi4mBra8v8VjDmVr2YX/Wq6PxaWVnBxsamAiIjIiIiItIONjY2iL11C6mpqRXaL8c6qmG+VMN8qYb5Kj3mSjWFhYXlas8ChpbR19eHk5MTjIyMNB2KzpHJZDA0NIS9vT3zW8GYW/ViftWL+SUiIiIiejsbG5sKf1CH9+KqYb5Uw3yphvkqPeZKNdHR0eVqr1dBcRAREREREREREREREVUYzsDQMgUFBYiKiuL0IzUont6Vm5vL/FYw5la9mF/1Kk1+uSwUEREREVHpxMfHl3qpKY51VMN8qYb5Ug3zVXrMlWoKCwthaGhY5vYsYGiZ5CfJ6P1Bb02HQURELzE0kuBW7E0WMYiIiIiI3iA+Ph72UilkubmaDoWIiLREREQEmjRpUub2LGBoGXmRHPUn+cCgobmmQyEiIgB5CZl4vOo0UlNTWcAgIiIiInqD1NRUyHJzEeJqh+YmXBeeiIiAWjUNytWeBQwtZNDQHIZNLTUdBhERERERERGRypqbGMHZzFjTYRARkRaI1xOVqz1f4k1ERERERERERERERFqHBQwiIiIiIiIiIiIiItI61b6AIZVKERYWpukwiIiIiIioCjl27Bi2b99eYntQUBD8/f3f2p7jECIiIiKit6v278AIDw/HO++8o+kwiIiIiIioCjl27BiuX7+OwYMHl6k9xyFERERERG9X7QsYrq6umg6BiIiIiIiqGY5DiIiIiIjeTq1LSEVFRWHs2LFo3749XF1d0bt3b0RERAj7L1y4AKlUitOnT2PSpElwc3NDx44dsW/fPgDA1q1b0bFjR3h5eWHOnDnIy8sT2j558gSzZ89G586d4ezsjG7dumH58uUKxwQHB0MqlSr9VezVqdsBAQEYM2YMDh8+jO7du8PNzQ1Dhw5FfHy8wrUlJSVhzJgxcHFxga+vLzZv3ozvvvsOfn5+FZ1GIiIiIiKqIMVLPF24cAEffvghXF1d0b9/f1y/fl045vnz51i4cCHat28PJycn9O7dG3/++adCH3v27MHt27eF8UVQUJDCed7UP8BxCBERERFRaah1BsajR4/g7u6OQYMGwcDAAFeuXMHcuXMhl8vRp08f4bivv/4affr0wccff4ydO3di5syZuHnzJm7fvo358+fj4cOHWLRoEd59912MHTsWAJCRkQFzc3PMnj0bpqamiIuLQ3BwMFJSUrBw4UIAwEcffQQfHx/hPAUFBQgKCkKNGjXeGHdsbCzS09Mxffp0FBYWYtGiRZgxYwbCw8MBAHK5HIGBgUhNTcX8+fNhYmKCsLAwPHr0CHp61f61IkREREREWi0lJQXffvstPvvsM5iYmGDZsmUYP348/vzzT4jFYkyfPh2nT5/G5MmT0aRJE/zxxx+YMGEC1qxZg86dOyMwMBDp6em4d+8eli5dCgCwsLAodf+vw3EIEREREZEitRYwevXqJfy/XC5Hq1atkJycjPDwcIUCRo8ePTB+/HgAgLOzM/78808cOHBA4Qb/4sWLOHz4sFDAkEqlmDVrltCHu7s7JBIJgoKCMG/ePEgkEtSrVw/16tUTjlmwYAHS09Oxa9euN8adnZ2NiIgIYRAik8kwe/ZsJCUloV69evj7779x48YNbN++HZ6engCA1q1bw9fXF6ampuVJGRERaamcnBzIZDJNh1Hl5OTkKPyXKhbzq166ll+5XA6RSKTpMLTC06dPsW3bNjRv3hwAIJFIMHToUFy7dg3GxsY4evQo5s+fj4EDBwIAOnTogMTERKGAYWNjAwsLCzx69EjpUlBv6r94/KCMJschcrm8Wv09p2vfb3Vjvkqvuuequl43ERGpj1oLGE+fPkVwcDCOHz+O5ORkFBYWAgDMzc0VjmvXrp3w/yYmJrCwsICnp6fC00m2tra4cOGC8LNcLseWLVuwc+dOJCQk4Pnz58K+hw8fws7OTuEcO3fuxC+//II1a9agadOmb4y7RYsWCk9QNWvWDACEgUNMTAxMTU0VBh+1atVCmzZtcOPGjbelhYiIqqC4uDgYGhpqOowqKy4uTtMh6DTmV710Kb8GBgaaDkEr1Kl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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 13: Prepare Data Subsets and Tokenise\n",
        "# ============================================================\n",
        "\n",
        "# Use 5,000 samples for manageable training time on free Colab GPU\n",
        "TRAIN_SIZE = 5000\n",
        "TEST_SIZE  = 5000\n",
        "MAX_LENGTH = 256\n",
        "MODEL_NAME = 'distilbert-base-uncased'\n",
        "\n",
        "# Sample subsets\n",
        "train_bert_df = train_df.sample(n=TRAIN_SIZE, random_state=SEED).reset_index(drop=True)\n",
        "test_bert_df  = test_df.sample(n=TEST_SIZE, random_state=SEED).reset_index(drop=True)\n",
        "\n",
        "# Split 10% of training data as validation set\n",
        "val_size = int(0.1 * len(train_bert_df))\n",
        "val_bert_df   = train_bert_df.iloc[:val_size].reset_index(drop=True)\n",
        "train_bert_df = train_bert_df.iloc[val_size:].reset_index(drop=True)\n",
        "\n",
        "print(f\"Training samples:   {len(train_bert_df)}\")\n",
        "print(f\"Validation samples: {len(val_bert_df)}\")\n",
        "print(f\"Test samples:       {len(test_bert_df)}\")\n",
        "\n",
        "# Load tokeniser\n",
        "print(f\"\\nLoading tokeniser: {MODEL_NAME}\")\n",
        "tokenizer = DistilBertTokenizerFast.from_pretrained(MODEL_NAME)\n",
        "\n",
        "# Tokenise all splits\n",
        "print(\"Tokenising training data...\")\n",
        "train_encodings = tokenizer(\n",
        "    train_bert_df['bert_text'].tolist(),\n",
        "    truncation=True, padding=True,\n",
        "    max_length=MAX_LENGTH, return_tensors='pt'\n",
        ")\n",
        "print(\"Tokenising validation data...\")\n",
        "val_encodings = tokenizer(\n",
        "    val_bert_df['bert_text'].tolist(),\n",
        "    truncation=True, padding=True,\n",
        "    max_length=MAX_LENGTH, return_tensors='pt'\n",
        ")\n",
        "print(\"Tokenising test data...\")\n",
        "test_encodings = tokenizer(\n",
        "    test_bert_df['bert_text'].tolist(),\n",
        "    truncation=True, padding=True,\n",
        "    max_length=MAX_LENGTH, return_tensors='pt'\n",
        ")\n",
        "\n",
        "print(f\"\\nTokenised input shape: {train_encodings['input_ids'].shape}\")\n",
        "print(\"Done!\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304,
          "referenced_widgets": [
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        },
        "id": "NQh9BMr042hE",
        "outputId": "c7475473-b68c-4ee3-90e4-8381c2532e17"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training samples:   4500\n",
            "Validation samples: 500\n",
            "Test samples:       5000\n",
            "\n",
            "Loading tokeniser: distilbert-base-uncased\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/48.0 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "678acbc35f80406e9ed268e8b1d2e032"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "vocab.txt: 0.00B [00:00, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3b292abcd67f4c5690216e0101d5f827"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer.json: 0.00B [00:00, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "9d16e4ae4d6e4fa797ca228e406d1b75"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Tokenising training data...\n",
            "Tokenising validation data...\n",
            "Tokenising test data...\n",
            "\n",
            "Tokenised input shape: torch.Size([4500, 256])\n",
            "Done!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 14: Custom PyTorch Dataset and Model Initialisation\n",
        "# ============================================================\n",
        "class IMDBDataset(Dataset):\n",
        "    \"\"\"Custom PyTorch Dataset wrapping tokenised IMDB reviews.\"\"\"\n",
        "    def __init__(self, encodings, labels):\n",
        "        self.encodings = encodings\n",
        "        self.labels = labels\n",
        "\n",
        "    def __len__(self):\n",
        "        return len(self.labels)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        item = {key: val[idx] for key, val in self.encodings.items()}\n",
        "        item['labels'] = torch.tensor(self.labels[idx], dtype=torch.long)\n",
        "        return item\n",
        "\n",
        "train_dataset = IMDBDataset(train_encodings, train_bert_df['label'].tolist())\n",
        "val_dataset   = IMDBDataset(val_encodings, val_bert_df['label'].tolist())\n",
        "test_dataset  = IMDBDataset(test_encodings, test_bert_df['label'].tolist())\n",
        "\n",
        "# Load the pre-trained model with a classification head\n",
        "model = DistilBertForSequenceClassification.from_pretrained(\n",
        "    MODEL_NAME, num_labels=2\n",
        ")\n",
        "\n",
        "total_params     = sum(p.numel() for p in model.parameters())\n",
        "trainable_params = sum(p.numel() for p in model.parameters() if p.requires_grad)\n",
        "\n",
        "print(f\"Datasets created:\")\n",
        "print(f\"  Train: {len(train_dataset)}\")\n",
        "print(f\"  Val:   {len(val_dataset)}\")\n",
        "print(f\"  Test:  {len(test_dataset)}\")\n",
        "print(f\"\\nModel: {MODEL_NAME}\")\n",
        "print(f\"Total parameters:     {total_params:,}\")\n",
        "print(f\"Trainable parameters: {trainable_params:,}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530,
          "referenced_widgets": [
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            "07455ca220d54827b0f1ceda7650cd27"
          ]
        },
        "id": "Jf_e294g5Ten",
        "outputId": "38cf5b6e-a520-41e8-a5ba-fa274249b834"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/483 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1bd08f5346414241ae40e1d4e8812be3"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/268M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "812fa541a8ae4f3b8c04a767f8aa80f3"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading weights:   0%|          | 0/100 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4d8ba77b54a04cebb634a304adfd81ee"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "DistilBertForSequenceClassification LOAD REPORT from: distilbert-base-uncased\n",
            "Key                     | Status     | \n",
            "------------------------+------------+-\n",
            "vocab_transform.weight  | UNEXPECTED | \n",
            "vocab_layer_norm.bias   | UNEXPECTED | \n",
            "vocab_layer_norm.weight | UNEXPECTED | \n",
            "vocab_projector.bias    | UNEXPECTED | \n",
            "vocab_transform.bias    | UNEXPECTED | \n",
            "pre_classifier.weight   | MISSING    | \n",
            "classifier.bias         | MISSING    | \n",
            "pre_classifier.bias     | MISSING    | \n",
            "classifier.weight       | MISSING    | \n",
            "\n",
            "Notes:\n",
            "- UNEXPECTED\t:can be ignored when loading from different task/architecture; not ok if you expect identical arch.\n",
            "- MISSING\t:those params were newly initialized because missing from the checkpoint. Consider training on your downstream task.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Datasets created:\n",
            "  Train: 4500\n",
            "  Val:   500\n",
            "  Test:  5000\n",
            "\n",
            "Model: distilbert-base-uncased\n",
            "Total parameters:     66,955,010\n",
            "Trainable parameters: 66,955,010\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 15: Fine-tune DistilBERT\n",
        "# ============================================================\n",
        "\n",
        "def compute_metrics(eval_pred):\n",
        "    \"\"\"Compute metrics for the Trainer.\"\"\"\n",
        "    logits, labels = eval_pred\n",
        "    preds = np.argmax(logits, axis=-1)\n",
        "    return {\n",
        "        'accuracy':  accuracy_score(labels, preds),\n",
        "        'precision': precision_score(labels, preds),\n",
        "        'recall':    recall_score(labels, preds),\n",
        "        'f1':        f1_score(labels, preds)\n",
        "    }\n",
        "\n",
        "training_args = TrainingArguments(\n",
        "    output_dir='./distilbert_imdb',\n",
        "    num_train_epochs=3,\n",
        "    per_device_train_batch_size=16,\n",
        "    per_device_eval_batch_size=32,\n",
        "    learning_rate=2e-5,\n",
        "    weight_decay=0.01,\n",
        "    warmup_steps=500,\n",
        "    eval_strategy='epoch',\n",
        "    save_strategy='epoch',\n",
        "    load_best_model_at_end=True,\n",
        "    metric_for_best_model='f1',\n",
        "    logging_dir='./logs',\n",
        "    logging_steps=50,\n",
        "    seed=SEED,\n",
        "    fp16=True,            # mixed precision for faster training\n",
        "    report_to='none'\n",
        ")\n",
        "\n",
        "trainer = Trainer(\n",
        "    model=model,\n",
        "    args=training_args,\n",
        "    train_dataset=train_dataset,\n",
        "    eval_dataset=val_dataset,\n",
        "    compute_metrics=compute_metrics,\n",
        "    callbacks=[EarlyStoppingCallback(early_stopping_patience=2)]\n",
        ")\n",
        "\n",
        "print(\"Starting DistilBERT fine-tuning...\")\n",
        "print(\"Config: 3 epochs, batch_size=16, lr=2e-5, fp16=True\")\n",
        "print(\"-\" * 50)\n",
        "start = time.time()\n",
        "train_result = trainer.train()\n",
        "bert_train_time = time.time() - start\n",
        "\n",
        "print(f\"\\n{'='*50}\")\n",
        "print(f\"Training completed in {bert_train_time:.1f}s ({bert_train_time/60:.1f} min)\")\n",
        "print(f\"Final training loss: {train_result.training_loss:.4f}\")\n",
        "print(f\"{'='*50}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 456,
          "referenced_widgets": [
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          ]
        },
        "id": "nIZtvFFD5wYo",
        "outputId": "c39b1296-7641-4ad8-a98c-a9344b990299"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "`logging_dir` is deprecated and will be removed in v5.2. Please set `TENSORBOARD_LOGGING_DIR` instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Starting DistilBERT fine-tuning...\n",
            "Config: 3 epochs, batch_size=16, lr=2e-5, fp16=True\n",
            "--------------------------------------------------\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      \n",
              "      <progress value='846' max='846' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      [846/846 02:11, Epoch 3/3]\n",
              "    </div>\n",
              "    <table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              " <tr style=\"text-align: left;\">\n",
              "      <th>Epoch</th>\n",
              "      <th>Training Loss</th>\n",
              "      <th>Validation Loss</th>\n",
              "      <th>Accuracy</th>\n",
              "      <th>Precision</th>\n",
              "      <th>Recall</th>\n",
              "      <th>F1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>0.387336</td>\n",
              "      <td>0.300960</td>\n",
              "      <td>0.866000</td>\n",
              "      <td>0.867841</td>\n",
              "      <td>0.841880</td>\n",
              "      <td>0.854664</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>0.286574</td>\n",
              "      <td>0.283476</td>\n",
              "      <td>0.898000</td>\n",
              "      <td>0.856031</td>\n",
              "      <td>0.940171</td>\n",
              "      <td>0.896130</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>0.159662</td>\n",
              "      <td>0.342678</td>\n",
              "      <td>0.896000</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.888889</td>\n",
              "      <td>0.888889</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><p>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Writing model shards:   0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "491cff221c9142b0bf1a40cfbc337139"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Writing model shards:   0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "9ba543a39e0c4020ae3ef6621e5d36e1"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Writing model shards:   0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f0ae671b007046398c74fc214897bfbb"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "There were missing keys in the checkpoint model loaded: ['distilbert.embeddings.LayerNorm.weight', 'distilbert.embeddings.LayerNorm.bias'].\n",
            "There were unexpected keys in the checkpoint model loaded: ['distilbert.embeddings.LayerNorm.beta', 'distilbert.embeddings.LayerNorm.gamma'].\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "==================================================\n",
            "Training completed in 133.7s (2.2 min)\n",
            "Final training loss: 0.3283\n",
            "==================================================\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 16: Plot Training and Validation Curves\n",
        "# ============================================================\n",
        "log_history = trainer.state.log_history\n",
        "\n",
        "train_losses = [x['loss'] for x in log_history\n",
        "                if 'loss' in x and 'eval_loss' not in x]\n",
        "eval_entries  = [x for x in log_history if 'eval_loss' in x]\n",
        "eval_losses   = [x['eval_loss'] for x in eval_entries]\n",
        "eval_f1s      = [x['eval_f1'] for x in eval_entries]\n",
        "eval_accs     = [x['eval_accuracy'] for x in eval_entries]\n",
        "\n",
        "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n",
        "\n",
        "# Training loss over steps\n",
        "axes[0].plot(train_losses, color='#2980b9', linewidth=1.5)\n",
        "axes[0].set_title('Training Loss Over Steps', fontsize=14)\n",
        "axes[0].set_xlabel('Logging Step')\n",
        "axes[0].set_ylabel('Loss')\n",
        "axes[0].grid(True, alpha=0.3)\n",
        "\n",
        "# Validation metrics per epoch\n",
        "epochs = range(1, len(eval_losses) + 1)\n",
        "axes[1].plot(epochs, eval_losses, 'o-', label='Eval Loss', color='#e74c3c', linewidth=2)\n",
        "axes[1].plot(epochs, eval_f1s, 's-', label='Eval F1', color='#27ae60', linewidth=2)\n",
        "axes[1].plot(epochs, eval_accs, '^-', label='Eval Accuracy', color='#f39c12', linewidth=2)\n",
        "axes[1].set_title('Validation Metrics Per Epoch', fontsize=14)\n",
        "axes[1].set_xlabel('Epoch')\n",
        "axes[1].legend(fontsize=11)\n",
        "axes[1].grid(True, alpha=0.3)\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Print epoch results\n",
        "print(\"\\nEpoch-by-epoch validation results:\")\n",
        "for i, entry in enumerate(eval_entries):\n",
        "    print(f\"  Epoch {i+1}: Loss={entry['eval_loss']:.4f}, \"\n",
        "          f\"F1={entry['eval_f1']:.4f}, Acc={entry['eval_accuracy']:.4f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 588
        },
        "id": "Tr0jVmlp6u6I",
        "outputId": "379ee2b6-b147-4f8a-fcac-97105416119d"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x500 with 2 Axes>"
            ],
            "image/png": 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zHhsbK4aEhIiDBw/WGTf0umho8hcQECBu3LjR4D6GPissXrxYDAgIEN966y29+7isrCwxOztbFEVR/Pnnn8WAgAAxKipK77ym3kdp3m+P5lipVIrPP/+8GBAQIEZERIiiKIpffPGFGBAQIH711Vc69/UKhUIcPny4GBQUJN67d087rvnM06NHDzEhIcGkeETx4XviqaeeEpcvX27wcfDgQZ1jNHmePXu2TmxXr14Vg4KCxM6dO4t5eXna8Xnz5okBAQHi559/rnOeAwcOiAEBAWLfvn1FlUqlHTf1NRFF8z+jEdVEbHFARBZRp04dvPLKKwa3NWjQQG/M2dkZw4cPh0Kh0PkKUFlee+011K1bV/tzrVq10KdPH+Tk5ODmzZsmn+edd96BXC7X/tylSxf4+vri0qVL2rHCwkLs3r0bXl5emDx5ss7xI0aMQJMmTUy+njl+//13yGQyvPnmmzozJVq2bIlhw4YhKysLf/75J4Di386Logh7e3tIJLr/S5dKpXqzNWQymcFZopqZpKVJTk4GANSrV6/MfTX7aI4RBAHPPPMMMjMzceDAAZ19t2zZAgA6Cxps2bIF2dnZmD17tt4MmUGDBiEoKAg7duzQu25p70NDBEHA8uXL0a5dO5w+fRrz58/HM888g/bt2+OFF17A5s2boVKpTD6fZtZB586dMWrUKJ1tXl5emDJlCtLS0gx+bey1117TWbzB1dUVr776KkRRxO+//66zb0VeRyIiImvQzI599Cv0Bw4cQEpKCvr06aP9d8zV1dXgv2mdO3dGs2bNjH792hSa+6w33nhDZ7x79+7o0qWLwWMM3cvWrVsX/fr1w61bt5CQkFDueABg27ZtKCoqwqRJk3Tus+RyOd58800AxWtBPMrPzw8vvviizpgmz+bcX2u0atUKgYGBOq0oNm/ejObNmxtdV+DKlSs4e/Yshg4diu7du+tsa9KkCUaPHo3r168b/Qq8MUFBQRgxYoRJ+xYVFWHdunVwdXXFf/7zH717JFdXVzg7O+uMGVqIztz7qKNHjyIiIgIRERFYsGABBg0ahOPHj8PPzw/jx4+HWq3GmjVr0LBhQ7zxxhs69/UuLi6YNm0alEqlwfYaU6ZMKddCcnFxcYiMjDT4+Pvvv/X2l0qlmD17tk5szZs3x5AhQ5CWloaDBw8CKP5ctGPHDnh4eODVV1/VOUfPnj3RtWtX3L59G2fOnAFQvtcEMO0zGlFNxRYHRGQRgYGBOv+YlpSamorvvvsOhw4dQmJiIvLz83W2379/3+TrGLo59Pb2BgAoFAqTzuHm5mbwRtvb2xvnzp3T/hwbG4vCwkK0atVK77kJgoCQkBCzisKmyM7ORnx8PJo2bQofHx+97aGhoVi/fr22t5iLiwt69uyJgwcPYtiwYejfvz86deqE1q1b6321f+DAgfj1118xePBgDBw4EKGhoQgJCbHYSsllGTJkCL799lts2bJF+zV+tVqN7du3w8PDAz179tTuq3kdLly4gPj4eL1zFRQUID09HWlpaToLbZT2PjTGz88Pa9aswdWrV3H06FFcunQJZ86cwbFjx3Ds2DH8/vvv+OGHH0w678WLF6FSqVBYWKjX/xgo7nkGFL+3evXqpbOt5FfCHh27cuWKdszaryMREVF59OnTB7Vq1cKff/4JhUKh/aWkpmD76OJg0dHRWLlyJS5cuID09HSdPqyltS8qTXZ2Nu7cuYNmzZqhTp06ets7dOiAY8eO6Y3Hx8fj22+/xfHjx5GUlITCwkKd7ffv3y93ywUAuHr1KgAYbFMUEhICe3t7g31lW7RoofcLes39Y1ZWVrliGTFiBD755BOcPXsWQHG7if/85z9G99fcs6Wmphq894mNjdX+NyAgwOQ4WrVqZfK+sbGxyMnJQVhYmF77q0f16tULX3zxBT766CMcO3YM3bt3R6dOnQx+NiiL5l4RKC6m+/r6YtKkSXj55Zfh4eGBmJgYZGZmom7duoiMjNQ7Pi0tTRv/o9q0aWN2PADQrVs3/PjjjybvX69ePYPv3Q4dOmDjxo24cuUK+vXrh9jYWBQUFCA0NBSOjo56+4eGhuLIkSO4evUqOnToYNZromHqZzSimooFWiKyCGM9rjIyMjBy5EgkJiaiXbt2CAsLg6urK6RSKa5evYp9+/bp3eSWxsXFRW9M0yfK1JmOJWcpPnqekouNZWdnA4DRnk/m9PUyVVnX1HyY0OwHAMuWLcM333yD7du348svvwRQnKfhw4dj9uzZ2puo//znP/Dz88PmzZvx9ddf4+uvv4a9vT0GDBiAuXPnlrmisObaZfUAK7lPyQ8/TZs2RVBQEA4ePIjMzEy4u7sjOjoa9+7dw7hx43Q+bGkWDfjll19KvU5eXp7OzxV5TVq0aKHTUzY6OhpvvfUWoqOj8euvv+KFF14o8xyauM+cOaOdQWDIo3EDhmPXjJV8vSv6OhIREVmDTCbDkCFD8NNPP2Hbtm0YN24ckpOT8ffff6N+/fo6/e137dqFWbNmwcnJCd26dYOvry8cHR0hCAJ+++23cs9Y1fx7auzfSkP3X7dv38aoUaOQnZ2N0NBQ9OrVCy4uLpBIJDhx4gROnDhh1r1saXEZur4gCKhduzaSkpL0tpV2X/zoArqmevbZZ7F06VJs2rQJQPHr9swzzxjdX3Pvc+DAAb1vSZVk6N6nNObc02kmaWgmbZTGz88P69atQ2RkJA4ePIhdu3YBAPz9/fHGG2/orPNQljlz5uDll182uj0jIwNA8SJ4N27cMLqfodxUVs/ZRxnLs+b6mvem5r/G9n/0M4o5r4mGqZ/RiGoqFmiJyCIeXbRAY+PGjUhMTMSMGTPw2muv6Wz77rvvDK5eais0N72pqakGt6ekpFjtmiVvyB0dHTFr1izMmjUL8fHxiI6Oxtq1a/Hzzz+joKAAH330EYDim5spU6ZgypQpSEpKwsmTJ7F582b8/vvvSElJKfO37SEhIQCgt2Lxo1QqFU6ePKlzjMaQIUPwySefYNeuXQgPD8fWrVu144bysG3bNrNmWxh7H5ZHaGgoZsyYgXfffRfHjx83qUCriXvy5MmYO3euWddLSUnR+yqbode7oq8jERGRtYwcORI//fQTNm7ciHHjxmHLli0oKirC8OHDdWaCRkZGwt7eHps3b0bjxo11zmGoxZGpNP+eamYuPsrQ/VdUVBQyMzOxZMkSvfuV9957DydOnCh3PI/GlZqaqjebURRFpKSkGCzGVgZPT0/06dMHO3fuBFC8QKqnp6fR/TVxGVvsqrzMuafTtPQyVMQ2JCAgAMuXL4dSqcTly5dx6NAhrFq1CrNmzULdunXRvn37csX8KE1u+vXrh+XLl5t1rCXvaUtj7POM5u+C5jlo/mts/0fvWc19TYgIYA9aIqpUcXFxAIq/1vaoU6dOVXU4ZvH394dcLsfly5f1ZkaIolgpX7VxcXFBgwYNEBcXZ/CGJjo6GkBxbyhDGjRogJEjR2L16tXa1X8N8fb2xuDBg/HDDz+gUaNGOHr0qF7riUeFhobC19cX586dM/j1P43NmzcjKSkJHTp0QKNGjXS2DR48GHZ2dti6dSvy8/OxZ88eNGrUCMHBwTr7ab7WZe2vMzk5OemNaT5AGpqx3bp1awiCoP1aoDkM/X3QjLVs2dLgMeV5HYmIiKylWbNmCA4OxuXLl/HPP/9g8+bNEAQBw4cP19kvLi4OTZs21SvO3r9/H3fu3Cn39V1cXODn54fbt29r++SXZOjfYmP3sqIoGvz3XtNr05we9ppv8Gju80o6f/48CgoKjN77VYYRI0YgJycHOTk5ZfaBbdu2LQCYde8jkUjMyk9ZmjRpAhcXF1y8eFE7o9cUMpkMwcHBeOONN/Cf//wHoiiWOgvYXE2bNoWLiwsuXboEpVJpsfNa0t27dw3OSH/0HtTf3x/29va4ePGiwRm/mveu5r1c3teE6HHGAi0RVSrNLIDTp0/rjG/btk3bdN5WyeVy9OvXDykpKYiKitLZ9vvvvxvsF2UJQ4cOhVKpxOeffw5RFLXj//zzD3777Te4urriqaeeAlA8A8TQoguZmZlQKpXavqmFhYUGv3Kfm5uL3Nxc2NnZ6fUwe5SdnR3effddAMDs2bNx/vx5vX0OHDiAjz/+GHK5XLtvSV5eXujatSvOnDmDlStXIjs7W2dxMI0RI0bA2dkZX375pcGvhOXl5VmkeBsfH4/Vq1frtBAoeY2ff/4ZANCuXTvtuGYBiXv37ukdU6dOHQwYMABnz57FDz/8oPP6aZw/f97gje3//vc/nT7KCoUCX3/9NQRBwNChQwFY5nUkIiKyJk2v2Q8//BAxMTEICwvTmzVav3593L59W2e2XkFBAT744IMKF7qGDBkCpVKpN6Px8OHDBn8Bbexe9rvvvjN4D6bpt2noPsGYZ555BnZ2doiKitL5BX1hYSE+++wzAMCwYcNMPl9FdevWDf/973/x3//+F127di113zZt2qBt27bYsWOHdtZtSWq1Wm+Wsbu7O9LT01FQUGCReO3s7DBmzBgoFAp8/PHHesVfhUKBnJwcAMClS5cM3vdpZoza29tbJCZNXGPHjkVCQgI+/fRTg+/d69evG/3mXFVQqVT44osv9D5zbNmyBbVq1dKuESGXyzFo0CCkp6fj22+/1TnHoUOHcPjwYTRq1Eh7z2zOa0JExdjigIgq1ZAhQ/D9999j4cKFiI6ORv369XHt2jUcO3YMTz/9NPbs2WPtEEs1Z84cHDt2DJ9//jlOnjyJli1b4ubNm9i/fz+6d++Ov//+26yCWFFREebNm2d0++LFi/HSSy/h4MGD2LJlC2JiYtClSxekpqZi165dUKlUWLBggfbrQ0lJSRg6dCiaN2+OwMBAeHt7IyMjA/v27YNSqcSUKVMAAPn5+Rg7diwaN26MVq1aoV69esjNzcWBAweQnJyMyZMnm7QI1lNPPYWPPvoIH330EcLDw9G5c2e0aNFCO6P4zJkzcHJyQkREhNHVfocMGYKDBw9qF5IwVKCtVasWvvjiC8yYMQNDhgxB9+7d4e/vj8LCQiQkJODEiRMICQmp8Nf5s7OzsWDBAixZsgTt27fHE088AQcHByQlJeHAgQPIyMhAUFAQJkyYoD0mODgYDg4OWLlyJTIzM7V97DQtPN5//33cvHkTS5cuxZYtWxASEgJXV1fcu3cPly5dwq1bt3D48GG9BRYaN26MwYMHaxdQ27NnD+7du4dJkyahdevWACz3OhIREVnLgAED8Mknn2h/4fjo4mAAMGHCBCxYsABDhw5F//79UVRUhKNHj0IURTRv3tzgglmmevHFF7F3716sX78eN27cQMeOHXH37l3s3r0bTz75pN4MyvDwcGzevFnbn9TDwwPnzp3DlStXDO7v7++PunXrYseOHZDL5fD29oYgCJgwYYLRHpsNGzbEm2++icWLF+PZZ5/FgAED4OjoiP379+PmzZvo06ePXnuFyiSRSLSTAUzx+eefY+LEiZg1axZWrlyJli1bwsHBAYmJiTh37hzS0tJw8eJF7f6dO3fGpUuX8OKLL6JDhw6QyWTo2LEjOnbsWO6YZ8yYgfPnz2PLli04f/48unfvDrlcjjt37uDvv//Gr7/+ihYtWmDLli1Yt24dOnbsiAYNGsDFxQX//vsvDh06BA8PD73Z3BX1xhtv4MqVK1i1ahUOHjyIDh06wMvLC0lJSbh+/Tr++ecfrFu3zmI9Z+Pi4gwu1qbx8ssv6xShAwMDcebMGYwYMQJhYWFIS0vT+cxRchHat956CydPnsTXX3+Ns2fPom3btkhISMDu3bvh6OiITz75ROdzkamvCREVY4GWiCqVj48PVq9ejaVLl+LYsWMoKipCUFAQVqxYgbt379p8gbZevXpYu3YtPvvsMxw5cgQnT57Uxr979278/fffZvUEU6vV+O2334xuX7x4Mezt7bFy5Up8//332LlzJ6KiouDo6IiOHTti6tSp6NChg3Z/X19fvP766zh+/DiOHj2KjIwMeHp6omXLlnj++efRo0cPAMV9at98800cP34cp06dQmpqKtzd3dGkSRPMnj0bgwYNMvk5jBkzBp06dcLKlStx7NgxnDlzBoIgwNfXF5MnT8YLL7xQ6oIAffr0gYuLC7KzsxESEoKGDRsa3O/JJ5/Eb7/9hh9//BHHjh3DkSNH4OTkBG9vbwwfPtxgYddcTZs2RUREBA4fPozz589j69atyMrKgouLC5o1a4ann34aY8eO1bmR9fDwwPLlyxEREYENGzZoWwpoCrQeHh5Yu3YtVq9ejZ07d2Lbtm1Qq9WoXbs2mjdvjldffdVgL7dly5Zh+fLl2LFjB1JSUuDn54f58+fr9HOz5OtIRERkDS4uLujfvz82b94MDw8Pg4XA5557DnZ2dli9ejXWr18PNzc39OzZE3PmzMGMGTMqdH0nJyesWrUKX3zxBfbu3YsrV66gWbNm+PLLL6FQKPQKri1btsSPP/6Ir776Cnv27IFUKkVISAjWrFmDv/76S29/qVSKyMhIfPbZZ9i+fbt2luCzzz5rtEALAJMmTULDhg0RFRWFrVu3QqlUonHjxpg3bx4mTJhQZT1Jy6NBgwb47bff8NNPP2Hfvn3YvHkzJBIJ6tatiw4dOqB///46+7/22mvIysrC/v37cfr0aahUKkyfPr1CBVp7e3v89NNPWL16NbZu3YoNGzZAIpGgfv36CA8P186EHjx4MAoKCnD27FlcuHABhYWF8PHxwdixYzFlyhS99QAqSi6X4/vvv8fGjRvx+++/Y8+ePSgsLETt2rXRtGlThIeHm7XeQlni4uIQGRlpdPvEiRN17mvd3d3x3Xff4dNPP8WGDRuQl5eHli1b4vXXX9ebPV2rVi2sX78e//vf//DXX3/h9OnTcHFxQZ8+fTB9+nS952Hqa0JExQTR0PcviYioTGPHjsW5c+dw6tQpODs7WzscqqYmTJiAEydO4Nq1a9YOhYiIiIgeE4GBgejUqRNWrVpl7VCICOxBS0RUpvv37+uNbdmyBWfOnEFYWBiLs0RERERERERUbmxxQERUhmeeeQYtWrRAs2bNIJFIcPXqVZw4cQLOzs54++23rR0eEREREREREVVjLNASEZUhPDwcf/31Fy5duoS8vDx4enpi8ODBeO2119C0aVNrh0dERERERERE1Rh70BIRERERERERERFZCXvQEhEREREREREREVkJC7REREREREREREREVsIetEacPXsWoihCJpNZOxQiIiIiMoFSqYQgCAgJCbF2KBbHe1MiIiKi6sWce1POoDVCFEVUdXtetVpdpder7pgv8zBfpmOuzMN8mY65Mg/zZR7myzr3b1XFWs+N7yvDmBfjmBvjmBvjmBvjmBvjmBvjmBvjqjI35ty/cQatEZrZCa1bt66S66lUKigUCri6ukIqlVbJNasz5ss8zJfpmCvzMF+mY67Mw3yZh/kqdvHiRWuHUGmq+t4U4PvKGObFOObGOObGOObGOObGOObGOObGuKrOjTn3ppxBS0RERERERERERGQlLNASERERERERERERWQkLtERERERERERERERWwgItERERERERERERkZWwQEtERERERERERERkJSzQEhEREREREREREVmJnbUDeFRMTAwWLlyIs2fPwtnZGUOGDMHMmTMhl8uNHhMdHY3nn3/e4LYmTZpg9+7dlRUuERERERERERERUbnZVIE2MzMTEydOROPGjREREYGkpCQsXrwY+fn5eO+994weFxQUhHXr1umMZWdn46WXXkKPHj0qO2wiIiIiIiIiIiKicrGpAu3atWuRk5ODyMhIeHh4AABUKhU+/PBDTJ06Fd7e3gaPc3FxQXBwsM7Y5s2boVarMXjw4EqOmoiIiIiIiIiIiKh8bKoH7aFDh9ClSxdtcRYABgwYALVajSNHjph1ru3bt6Nx48Zo06aNhaMkIiIiosdFTEwMJk2ahODgYHTt2hVLlixBYWFhmccpFAr83//9H0JDQ9G2bVtMmDABV69erYKIiYiIiKi6sakCbWxsLPz9/XXG3NzcUKdOHcTGxpp8npSUFBw/fpyzZ4mIiIio3DTtt5RKJSIiIjBr1iysX78eixcvLvPY2bNn488//8Rbb72FZcuWQSqVYuLEibh7924VRE5ERERE1YlNtTjIysqCm5ub3ri7uzsyMzNNPs/OnTuhUqksUqBVqVQVPoep19E8qGzMl3mYL9MxV+ZhvkzHXJmH+TIP81U5ytt+69y5czh06BC+/vpr9O7dGwAQGhqKPn364Mcff8T8+fOr6ikQERERUTVgUwVaS9m2bRuCgoLQpEmTCp1HrVZDoVBYKKqyr5Wfnw9BECCR2NTEZpvEfJmH+TIdc2Ue5st0zJV5mC/zMF/F1Gq1RZ+/sfZb77//Po4cOYLhw4cbPO7KlSsQBAFdu3bVjjk6OqJDhw7Yv38/C7RE9NhLzE1FemHxZ2353WPwPL8UsW3fQmG9LgAAT7kr6jt5WTNEIqIqZVMFWjc3N4MF0czMTLi7u5t0jri4OFy4cAHvvPNOheORSCRwdXWt8HlMoVKpIIoiXFxcIJVKq+Sa1RnzZR7my3TMlXmYL9MxV+ZhvszDfBWzdHE6NjYWI0aM0Bkzpf1WYWEhJBKJ3mshk8mQkJCA/Px8ODg4WDRWIqLqIjE3Ff33voNCtRIQRazM+hv1VBlIi56PiW7dAUGAXCLD7r6LWKQlIotSJR6E9Ng7UHVZBGmD3tYOR4dNFWj9/f31bnYVCgWSk5P1etMas23bNkgkEgwcONAiMVXlhxzhwY384/zByhyaXDFfpmG+TMdcmYf5Mh1zZR7myzzMl+WVt/1Wo0aNoFKpcOXKFe2CtWq1GpcuXYIoisjKyip3gbYq21iwdYZhzItxzI1xzE0xUa1EesZN+CjT4Soq0akwGUGqDABAkCoDb+ReRoydO0QA+dfXoMCpDiAIAB48HvxZ0I7B4HaDY5o/l7ZN+1/oXq/Mc5eIQ5CYde5HtwslxlQqNVQ5OSgSciBKpfrXMPPchvNYPfHvlHHMjWGiKEJ5eiEExb9Qnl4ISb0eNvV3wKYKtD169MA333yjczO8e/duSCQSna+IlWbHjh3o1KkT6tatW5mhWtyvJ+OxZM91SCUSuNhL4eIgK/6vvR2c7e3gam9n8M8u9lK4Omj+/PAhkz6+X28kIiIisqauXbuiYcOGeP/99/Hpp5/Cy8sL3333HeLj4wGg3B8GqrL9luZ6bJ2hj3kxjrkxrsbkRhQBVS5QmAkoFUBhJgRlFqDMBAqziv9cmFn8s1IBoTATUGYVPwozIajy0AjAZiOnf74gFih48MPps1BW0dOyZfYAlA8elUUss2BdSkFabx8YGX+0gCwxMm7aOUUAdqKIfIlUt4BuQqFeLHk+s+I39NwlJhxX2vMz5blLzDqnKAJiURHyZDIIwsNjxVKPlZQRS2mvuQnPUfOam5trc+N5ZKzke1tIOw9p6nkAgJh6Hjn/7oTo0wOVyZz2WzZVoA0PD8eqVaswbdo0TJ06FUlJSViyZAnCw8N1FmGYOHEiEhMTsXfvXp3jr1y5gpiYGEyaNKmqQ68wUQTUIqBSqZGWq0ZabsX+92tvJ9Ep2LrYS4uLuw52cJYXjxkq7Gr2dXGQwVkuZaGXiIiIHlvlbb8ll8vx5ZdfYs6cOXjmmWcAAAEBAZg4cSJWrVql09PWHFXZfgtg6wxjmBfjmBvjbCk3oloFFGZCLMzU/W9Bhs6fUZgFsTADYmEWUJgBsaB4G8Qiq8ZPlldc7hQBscSgaGxv2yCUvUulHFtd8P/ApRMhQdHlpUisHQQP+8rreW3OL+RsqkDr7u6OlStXYsGCBZg2bRqcnZ0xcuRIzJo1S2c/tVptcKr2tm3bIJfL0a9fv6oK2WKe69QAffxdIcockFekRnaBCop8JXIKVMguKIKioAg5BUV6f84uKEJ2fhGyH+yXpyzOS0GRGgVFhUjNKaxQXA52Evh6OmJYsC+GBdeHp5PcEk+XiIiIyOZVpP1Wq1atsHv3bty+fRuiKKJx48b46KOPEBQUBJlMVu6Yqrqww9YZhjEvxjE3xlkyN2JRXnExtaC4gFpcXH1QYC14WGwVCzOKC60FGQ8LsMqqm4kPAPmQQCHIkCWRI1uwQ5YghwJShBalwFMsRMnyhRrAPcERqxyaQqKZJAft3D8IIlBivqd2XG8/PLKfKJbY59HjxAdzOUXd84jQ2afksYavpxunsf2Mnks0EruRa2qvJxrap+R1Hp5Lov2vUNztocSY3naID/Z58GcIkOjFVfr1tM/FYIyaPz/4r/jIzw8KxtrisXYf8cE5H47jwZ81xxKVRYAa9hlX8Pm+N3DGwdcmel7bVIEWAJo2bYqoqKhS91m1apXB8blz52Lu3LmVEFXVcLaXwtXVoUL/YBep1dqibslHTkERFPmaP6vKLPjmF6kBAPlFasQk5+Czvdex/K9/0S/IG2Pa+yGkgYdN9eogIiIisrSKtt8SBAGNGzcGAKSlpWHnzp146623KjNkIqomRFENKLMfFlILMopnqZYopmpmt4oFxYXWkrNaoSoo/QIWpnhQWNUWWAXZg6KrDNmCDFkPHto/PxhXCDIUCg8/3zpJ7eEic4R/1nUMVCbqXUcCoL6Yh3ipC2r7PwtPexeo1GoUiSqoRDWK1CqooX4wpobqwbhKVEOlVqFIVEMtPtxfpVZBJYpQiSrd/dVq7Vjx/pp9i4+lak4su6AuAJAJEthJpJBAgEyQQCoIkAlSSAUBUokEdpBAJgiQChJIBQnsBAF2ghQSofhYKSSQSoqPs4MAuwf7FT9QfAw0x5c4DwRIhJLjAqR4uL9EInnwswAJiq8rQfF+EkEovq4gQAJAKin+WQI82CZAEAFlQT4cHRwhk0q1xwracwJSCNpjJA/GimdRa4rcIkRNEbxEYRyljT3Ive5+au3Pot45YOAcZVyjRHx659Rcq8T+KfmZ2HL7bwwsTEAtsUDnF0IqAK/m/YOJsjpIL1SwQEuWZSeRwN1RAnfH8s/MAAClSo2cQhWy85WIvpmGtafu4PLdLGy7cBfbLtxFQF0XjOngh2fa1IeLPd9GREREVPNUpP3W119/jUaNGsHLyws3b97Et99+i1atWmH48OHWeCpEVAlEVWGJWawPi6ko1MxWzSpRgE2HNC8N+ars4n2UWQ+KCVVDCaFEAVWuU1jVFlsFGbIl+sXWHEEGtZHJOfYSGbzs3VDL3hVe9m6oY++K5vZuqCV3RS17zaN4ey25Kxzt7HE5/SaytzwFNQBDX/5Vo7ho4tIsEkGeTSozLUY9WrRViQ8LuiWLvpqCrlpUo0j9SMFYVBkYKy4yl9xHW3gW9YvOSlUR8vLzIZFJIQoo3qYucU3N/g8K1vrFabU2xoeF7EeL0yrt2MP9i49Xi2ooq2PBWtCZd2t0t3wAUGv+HlbD52lBAh4WkKUSKewECSSC5EHRWVpcsBakemMPi9dSneM1Y9r9JQ+OER5uk0okxQVoycPzlzynVCgRh0SqHdNeU1Limpr9JZq4i7fdzr6PE4nXivtbP0KK4sUJOyuTqz7hBrCyRgbJpBJ4OErg4SiDn6cTRrTzw6XETKw9eQc7L93F9fvZWLDzH3y29wYGt66H8I5+aOGjv8oxERERUXVVkfZbWVlZ+PTTT5Gamoq6devi2WefxWuvvVa9FwciqmFEUQSKch7MUC1ZaM14ZOxhsVWnV2tRrlnXE1Cxtp75EjlyBDmyBBkyIEWWYPewwCp5ZAar5s8PxgsgLbGQj3EyiR28HhRVm8iLi66e9q7FY/KHxVbNuJPU3vxvVqqV8FHnGSzOAsVFW291HnLU1lsiTCJIIBckgMS6JROVSgWFQgFXV1ertg0prWBtenG6eOzRQrSx4rRmRnTxmKhXnFaqipBXmA+JnR1EPDpLWtSZEV3ynA+L6qKR4nTxWMlit+Z5qtSq6lmwNoGI4nwUiSrAin/3LE4UsTLvnzJ/IfRwZq71sEBLJmtV3x0Lh7jj7X4B2HI+EetO3UFsSg42nLmDDWfuoI2vO8I7+KF/kA8cZOw5RURERNVfedtvVffWW0TVRckFrx5d5EpnTNMmoETLABRU7YJXIgQU2jkjX+qIHIk9siUyZMAOaRCQqgbSINVrEVCy2KoSzP8Fj50g1Z3JWkbR1dnOodJb2Xk6euF5j95wVuUY3Sdb6oxVjtb9ujE9ZCsF65KsWbxWG5wRXaKdRqnF6Uf2V6vKKE4bauHxcOa0zuxuTUFZpXpQvJY+KLyWNhtcXUZxWvWgOP1IsbtETKIN9/6VQW3zvxDSsJ2/XVRtuDnIMCG0EcZ3aohTt9Ox7vQd7LmShAsJmbiQkInFf1zDsGBfjG7vhya1na0dLhERERER2TDdBa9K9Fy1wQWvRKkDVDIXKO1cUCB1RJ7UAQqJHFmwQzokSBUFJKtF3FWrkaoWHxZYJTLkwM6kWaylkUDQbRugLbq6Pii6uukUXd1kTja3dkh9Jy/83H8Z0guLXzu1So2c3Bw4OzlDIi0uo3jKK29VdaKKkjz42r0MKP6evI2p6uL1owVr9SN9nw0Xp0sv+pbZrsPE/tL38zPwvLoQHqLxvt3pEnt8LZVXep7KwgItlZsgCOjYuBY6Nq6FlH4F+O1cItafjkdCRj5WHr+NlcdvI7RJLYxp74c+zetCJuVX+oiIiIiIahrNglfq3FQgIxGq7CKIRVlGFrwquSiWdRa8gtwNgtwDkLuhSOaCQjtn5EnskSOx17YPSIUEKWoRSSo17qqKcKeoEPdUKp0Fr7QebSUroLhoY0JdRIAAD7nzgz6ubg9nu+rMdH1YdHWXO0FSjpm0tqa+k5e2AKtSqaCQWv9r/ERUPrZcsL6ccQsjEk4iCY7WDqVMLNCSRdR2scdL3ZpgclhjHIlJwbpTd3DwRjKib6Yh+mYaarvIMSLEF6Pa+6G+u+3/xSAiIiIiepyYvuBVxoMWAg8LriUXvLIDUFjZwUpkxQVWe3cIcncI9h4Q5O4Q5e4osHvQPkCQIxNSpEGCVLWAJLUad9Uq3FUWILUwB2kFCmQqcwAlih8AihcJKqW/pKHirAHuMmftwlmaoqunzAVOogz13erAy9Fdu91D7gJpDSi4EhFRxbBASxYllQjo8UQd9HiiDhIz87DxdAI2nr2DlOxCfPv3TXx/+CZ6PFEbYzo0QLemtSGV2NbXbYiIiIiIqqOqXvCqwmTOEOTFhVXYe0CQuz0otGrG3AG5O3IfzGp92D4AuK/MR3phNlILspBWqEBagQJpuVnIyEirlF6IbjIneD6Y0fqwn6tuT1fNzx5yZ8gM9Om0lcWeiIgeJ55yV8glMhSW0mNWLpHBU+5ahVEZxgItVZr67o54o3czvNrTH39du491p+7g+M00HLieggPXU+Dr4YBR7fwwPMQXtV3srR0uEREREZFV6S94lfGw56qNLXgFQQrINTNY3bUtA5SCE+TOtSFx8IRg7/FgHw8I9m6AzB3ZEnukiiLSlfk6BdbUgiykP/hvWk4W0goSkF6ggLoSCq7Odg7F7QMe9G4tOdP14fiDma/2rpDb0MJIRERkuvpOXtjdd1G16HnNf2mo0smkEvRr6YN+LX1wMyUH60/fwW/nEpCQkY+v/voXkQdi0LeFN8Z08EPHRp4218SeiIiIiMhU5ix4VdxCINNqC15B6gjB/kE/1gdtAjQFV8g9HsxodXtQYPUoLrY+GIOseLZRdlGetsCakpeJxKxk5AqFyFDmIFWRhfSCZKQWKJBWqEB6gQJFYiktBMrJSWqv7dVaetG1eMxeKrN4DEREZJuqS89rFmipSjWp7Yy5/QIxo3cz7L58D+tO38H5O5nYdfkedl2+B//azhjT3g9DguvDzYE3TkRERERUtTQLXmkWtxILH/RhfTCTVZ2fDkl2CgqR82CRK9tY8EpbONUWWj0eFFrddVoH6IxJdb/FJooicorykV6oKC6qFiiQVpBVXIDNinswrpnpWlx0VaotP2vXXiIrsUCW6yPtBTRFV1d4yov/7GTHb+MREVH1xgItWYWDTIqhwb4YGuyLK3ezsP70HWy7cBexKTlY9Mc1fLnvBga08kF4hwZo7etu7XCJiIiIqBqx1IJXxkhQ6lJS5jG44JVHceFVU2y1f9iX9WGh1QOQuUKQlD4DKK+oAKkFCqQXZhUXVTPvI63g34dtBR4UYzXtBQpK6dNXXjKJ3YNera6PzHTVL7rWsneDk9Se36ojIqLHCgu0ZHUt67nhg8Et8WbfAGy7kIi1p+7gxv1s/HYuEb+dS0RQPTeM6eCHga184CTnW5aIiIioKqgSD0J67B2ouiyCtEHvKr224QWvSrYMsPUFrx72ZdUprGp6tZZYFAtSR7OKkQUqJdIKspCam4H0wvjinq0lZ7oWKLQzXdMKspCnKrT407UTpPC0d9UrunrInOEkylHfrQ5qO7prC7AuduY9RyIioscNq11kM1zs7TC2Y0OEd2iAs/EZWHf6DnZfvofLd7Pw3rYrWLLnOp5tUw9jOjSAv5ejtcMlIiIiqrFEUYTy9McQFP9CefpjyPx6mV1gM3vBK83MVhtZ8OphH9aHM1shd4do54rcIjmcPevBzrFW8UxXSflbcxWqi5Cer3hkRqvxomtOUb7lnvcDEgjFBVdt0dVNW3Q1NOYmczL4flCpVFAobLO3HxERkS1jgZZsjiAIaNfQE+0aemJev0D8di4R607FIz49D7+ejMevJ+PRroEHJnX0wZMtXa0dLhEREVGNo0rYDzH1HABATD2Homs/Q+LZvJoueOWhs7iV/oJX7oDMxeQCtEqlAhQKSFxdIRgoQhapVUgvzC5RXM1CWuHDYqvmUTyeBYUyz6JpAAABAjzkztrWAQaLrvau8HrQw9Vd7gyJILF4HERERGQaFmjJpnk6yTE5rDFe6NIIx2PTsPZUPPZfS8aZ+AxcSszEHw1rw9vdydphEhEREdUYoiii4OjbOmMFR2ZXzcUNLnhlYHGrkmOaYqy0chaKUolqZBRma4uqqXmZSMxKRq6gRLoyWzvTVTPrNVOZUylxuMuctYXVWvZujxRdS/ZxdYO7zBl2ZfSmJSIiItvBAi1VCxJBQFhTL4Q19UJSVj5eW3MWV+8psPlcIl7t2cza4RERERHVGKqE/RAVN8t3cFkLXpWY2fqwL6tmFmvZC15ZglpUI7Mwt3hG64O2Aek6M111xzIKcyBCtHgcrjJH1JI/LKw+LLrqFls97V3hKXeBTMKPbkRERDUV/5WnasfbzQETQhvg3S1XsP50Al7q7g87Cb+SRURERFRRoiii8PQnACQA1CW2CIBDbchaTNbp0VrRBa8sFXOWMvdhz1adoqv+WHphNlSiuuwTm8nJzqG4uKpTdHVFLbmbftFV7gK5tPx9a4mIiKhmYYGWqqWnW9TFkj3XkaQowIHrKXiqeV1rh0RERERU7d2P3QLnlLMGtohAfjIy3APg3XRopcYgiiJyivJ1F8oqLFFsfWQso0ABpaiyeBwOUrm2oFqy6Oopc4GTKEN9tzqo7eihLcQ6SOUWj4GIiIgeDyzQUrVkbyfFM0F1sOrUXaw5GccCLREREVEFJeak4M7fb6I5iufPPkoN4Pbfb0Ll0w31nWubfF5RFJGrKnjYRkDbs1XxyOJZD4uuSnWRpZ6Wllxip7tQltxVp43Ao4VYJzvDPW1VKhUUCgVcXV0hNbBIGBEREZG5WKClamto67pYfeoujsWm4WZKDprUdrZ2SERERETVVnp+GrzVuQaLs0Bx0bauOhfp+WnwtHfV9mvVFFt1+7hqiq7FRdh8VaHF45UJUm1hVbtQlvxhG4GSfV1r2bvC2c6hytsvEBEREZmCBVqqtuq52aPHE7Vx8EYK1p2Kx7z+za0dEhEREVH1JZXjebce8BALjO6SLrFH1uHPkK9WWv7yggS15K56Rdfinq0li67FhVhXWdX3uyUiIiKqDCzQUrUW3sEPB2+k4LdziXijdzM4yfmWJiIiIiqvJKkjkuBY+k4mFmclEOAhd9Gd4aqzUJZu0dVN5gSJwIVfiYiI6PHDahZVa2H+tdDA0xHx6XnYeekeRrbzs3ZIRERERDWar2Nt1HPyelBwNVR0LR53l7tAyoIrERERUZlYoKVqTSIICO/QAEv3XsevJ+MxIsSXX3UjIiIiqkTLO09DkEdja4dBREREVGPwV9pU7Q0Lrg97Own+uafA+TuZ1g6HiIiIiIiIiIjIZCzQUrXn4STHgFY+AIA1p+KtHA0REREREREREZHpWKClGmFcxwYAgN2X7yE1x/jKw0RERERkmKfcFXKJrNR95BIZPOWuVRQRERER0eOBPWipRmhV3x2t67vhYmIWNp9NxEvdmlg7JCIiIqJqpb6TF3b3XYT0QgUAQK1SIyc3B85OzpBIi+d1eMpdUd/Jy5phEhEREdU4LNBSjTG2YwNc3HIZ607FY3JYY0glXCyMiIiIyBz1nby0BViVSgWFVAFXV1dIpVIrR0ZERERUc7HFAdUY/YN84O4oQ2JmPg7dSLZ2OERERERERERERGVigZZqDAeZFMOD6wPgYmFERERERERERFQ9sEBLNcqYDg0gADj8bypup+VaOxwiIiIiIiIiIqJSsUBLNUrDWk7o1qw2AGAdZ9ESEREREREREZGNY4GWapxxHRsAADafTUCeUmXlaIiIiIiIiIiIiIxjgZZqnG7NasPXwwFZ+UXYdemetcMhIiIiIiIiIiIyigVaqnGkEgHhHYpn0a45GQ9RFK0cERERERERERERkWEs0FKNNDzEF3KpBJfvZuFiYpa1wyEiIiIiIiIiIjKIBVqqkTyd5Ogf5A0AWHuSi4UREREREREREZFtYoGWaqyxDxYL23npHtJzC60cDRERERERERERkT4WaKnGauPrjpb1XFGoUmPz2QRrh0NERERERERERKSHBVqqsQRBwNiODQEA607dgUrNxcKIiIiIiIiIiMi2sEBLNdrAVj5wc7DDnYw8HI5JsXY4REREREREREREOligpRrNUSbFsGBfAFwsjIiIiIiIiIiIbA8LtFTjjengBwA4dCMFd9JzrRwNERERERERERHRQyzQUo3X2MsZXZt6QURxL1oiIiIiIiIiIiJbwQItPRbGdmwAANh0NgEFRSorR0NERERERERERFSMBVp6LPR8og7quTsgI0+J3ZeTrB0OERERERERERERABZo6TEhlQgY0764F+2vJ+OsHA0RERFVFzExMZg0aRKCg4PRtWtXLFmyBIWFhWUel56ejvfeew9PPvkkgoODMXjwYKxZs6YKIiYiIiKi6sbO2gEQVZUR7XwReSAGFxOycCkxE63qu1s7JCIiIrJhmZmZmDhxIho3boyIiAgkJSVh8eLFyM/Px3vvvVfqsTNmzEBsbCxmz56NevXq4dChQ/jggw8glUoxevToKnoGRERERFQdsEBLjw0vZ3v0C/LGjov3sPbkHSwcwgItERERGbd27Vrk5OQgMjISHh4eAACVSoUPP/wQU6dOhbe3t8HjkpOTER0djUWLFmH48OEAgC5duuDixYvYsWMHC7REREREpIMtDuixMq5jQwDAjkt3kZGntHI0REREZMsOHTqELl26aIuzADBgwACo1WocOXLE6HFFRUUAAFdXV51xFxcXiKJYKbESERERUfVlcwXa8vb5AoCkpCTMnTsXnTt3Rps2bTBgwABs3bq1kiOm6iTYzx2B3q4oKFLj93MJ1g6HiIiIbFhsbCz8/f11xtzc3FCnTh3ExsYaPa5evXro1q0bvvnmG/z777/Izs7Gzp07ceTIETz33HOVHTYRERERVTM21eKgIn2+7t+/jzFjxqBJkyZYsGABXFxccOPGDZOLu/R4EAQB4zo2wPvbr2DNyXg837kRJIJg7bCIiIjIBmVlZcHNzU1v3N3dHZmZmaUeGxERgVmzZmHQoEEAAKlUivnz56Nfv34VikmlUlXoeHOvpXnQQ8yLccyNccyNccyNccyNccyNccyNcbacG5sq0Ja3zxcALF26FD4+Pvjhhx8glUoBFPf6InrUoNY+WLr3OuLT83A0JhXdmtW2dkhERERUg4iiiHfeeQe3bt3C559/jjp16uDo0aP45JNP4O7uri3amkutVkOhUFg42tKvl5+fD0EQIJHY3BfvrIZ5MY65MY65MY65MY65MY65MY65Ma6qc6NWq02+jk0VaI31+Xr//fdx5MgR7SILj8rOzsauXbvwySefaIuzRMY4ye0wtG19rD4RhzWn4lmgJSIiIoPc3NwMFkQzMzPh7m58sdEDBw5g9+7d2Lp1KwIDAwEAoaGhSE1NxeLFi8tdoJVIJHp9bSuTSqWCKIpwcXHhPXYJzItxzI1xzI1xzI1xzI1xzI1xzI1xVZ0bc4rANlWgjY2NxYgRI3TGTOnzdfnyZSiVStjZ2WH8+PE4e/YsPDw8MHToUMycORMymayyQ6dqZmzHBlh9Ig4HrycjISMPvh6O1g6JiIiIbIy/v7/ePahCoUBycrJeb9qS/v33X0ilUgQEBOiMt2jRAhs2bEBeXh4cHct371HVH7SkUqn2QQ8xL8YxN8YxN8YxN8YxN8YxN8YxN8bZam5sqkBb3j5fKSkpAID58+dj9OjRmD59Oi5cuIDly5dDIpFgzpw55Y6pqvpS2HIfDFtU0Xw19HRAaGNPRN9Kx7qTcZjRu5mFI7QtfH+ZjrkyD/NlOubKPMyXeZivytGjRw988803Oveou3fvhkQiQdeuXY0e5+vrC5VKhWvXrqF58+ba8cuXL8PLy6vcxVkiIiIiqplsqkBbXmq1GgAQFhaGefPmAQA6d+6MnJwcrFixAtOmTYODg0O5zltVfb7YI8Q8lsjX0CAvRN9Kx8azCRgfUgdyu5qbd76/TMdcmYf5Mh1zZR7myzzMVzFz+nyZIjw8HKtWrcK0adMwdepUJCUlYcmSJQgPD9dZG2HixIlITEzE3r17ARQXduvXr4833ngD06ZNQ926dXH48GH89ttveP311y0WHxERERHVDDZVoC1vny/NjIbOnTvrjHfp0gXffPMNbt++re3/ZY6q7PPFHiHmsUS++rd1xleH4pGkKMCxO3kY3NrHwlHaDr6/TMdcmYf5Mh1zZR7myzzMVzFLF6fd3d2xcuVKLFiwANOmTYOzszNGjhyJWbNm6eynVqt1Zi+7uLggKioKX375JT777DMoFAr4+flh3rx5GD9+vEVjJCIiIqLqz6YKtOXt89WsWelfTy8oKCh3TFX5IcdW+2DYqormSyqVYkyHBli+/1+sP5OAIcG+Fo7QtvD9ZTrmyjzMl+mYK/MwX+ZhvipH06ZNERUVVeo+q1at0htr1KgRvvrqq8oJioiIiIhqFJv6DlyPHj1w9OhRZGVlacdM7fMVEBCAo0eP6owfPXoUDg4OZRZw6fE1op0v7CQCzsZn4Oq9rLIPICIiIiIiIiIisiCbKtCGh4fD2dkZ06ZNw+HDh7Fp0yajfb769u2rc+ysWbPw119/4eOPP8aRI0fwzTffYMWKFXjhhRfg5ORU1U+Fqok6Lvbo26L4vbX2ZLyVoyEiIiIiIiIioseNTRVoNX2+pFIppk2bhs8//xwjR47ULvyl8WifLwDo3bs3vvjiCxw7dgxTp07F+vXr8frrr2PmzJlV+AyoOhrbsQEAYPvFu8jKV1o5GiIiIiIiIiIiepzYVA9aoPx9vgBg4MCBGDhwYCVERTVZ+4YeeKKuC27cz8aWc4mY0LmRtUMiIiIiIiIiIqLHhE3NoCWyBkEQtLNo15yKh1oUrRwRERERERERERE9LligJQLwTOt6cJZLcSs1F8dvplk7HCIiIiIiIiIiekywQEsEwNneDkPa1gfAxcKIiIiIiIiIiKjqsEBL9ED4gzYHf127j7uZ+VaOhoiIiIiIiIiIHgcs0BI90KyOCzo19oRaBDacvmPtcIiIiIiIiIiI6DHAAi1RCZrFwjacuYNCldrK0RARERERERERUU3HAi1RCb0D66Kuqz1Scwrx59Uka4dDREREREREREQ1HAu0RCXIpBKMaucHAFjDxcKIiIiIiIiIiKiSsUBL9IhR7X0hFQScjsvA9SSFtcMhIiIiIiIiIqIajAVaokfUdXVAnxZ1AXAWLRERERERERERVS4WaIkMGPdgsbCtF+5Cka+0cjRERERERERERFRTsUBLZEDHRp5oWscZeUoVtl64a+1wiIiIiIiIiIiohmKBlsgAQRAwtkPxLNo1J+MhiqKVIyIiIiIiIiIiopqIBVoiI55tWx+OMiliU3Jw4la6tcMhIiIiIiIiIqIaiAVaIiNc7O3wbJt6AIA1p7hYGBERERERERERWR4LtESlGPtgsbB9V+8jKSvfytEQEREREREREVFNwwItUSkCvF3RvqEHVKKIDWfuWDscIiIiIiIiIiKqYVigJSrDuI4NAQAbTidAqVJbORoiIiIiIiIiIqpJWKAlKkOfFnXh5SxHcnYB9v1z39rhEBERERERERFRDcICLVEZ5FIJRrf3AwCs5WJhRERERERERERkQSzQEplgVHs/SAUBJ26l48b9bGuHQ0RERERERERENQQLtEQm8HFzQK/AOgCAdZxFS0REREREREREFsICLZGJxnZsAADYcj4ROQVFVo6GiIiIiIiIiIhqAhZoiUzUuUktNPFyQk6hCtsu3LV2OEREREREREREVAOwQEtkIkEQEP5gFu2aU/EQRdHKERERERERERERUXXHAi2RGYa0rQ9HmQQ37mfjdFy6tcMhIiIiIiIiIqJqjgVaIjO4OcgwuHU9AMCak3esHA0REREREREREVV3LNASmUnT5mDv1SQkKwqsHA0REREREREREVVnLNASmamFjxtCGnigSC1i4xnOoiUiIiIiIiIiovJjgZaoHMY+mEW7/vQdFKnVVo6GiIiIiIiIiIiqKxZoicrh6RbeqOUkQ5KiAPuvJVs7HCIiIiIiIiIiqqZYoCUqB7mdBCPa+QEA1pyMt3I0RERERERERERUXbFAS1ROo9v7QSIAx2+mITYlx9rhEBERERERERFRNcQCLVE5+Xo4omdAHQDAWs6iJSIiIiIiIiKicmCBlqgCxj1YLOz384nIKSyycjRERERERERERFTdsEBLVAFd/L3QsJYTsguKsOPiPWuHQ0RERERERERE1QwLtEQVIBEEjO1QPIt2zck4iKJo5YiIiIiIiIiIiKg6YYGWqIKGBteHg50E15KycTY+w9rhEBERERERERFRNcICLVEFuTvKMLBVPQDAmlNcLIyIiIiIiIiIiEzHAi2RBYzrVNzm4I/LSUjJLrByNEREREREREREVF2wQEtkAS3ruaGNrzuK1CI2nU2wdjhERERERERERFRNsEBLZCHjOhbPol13Kh5KldrK0RAREZElxMTEYNKkSQgODkbXrl2xZMkSFBYWlnpMdHQ0AgMDDT769+9fRZETERERUXVhZ+0AiGqKfkHeWLr3Ou5lFeDPf+5jQJCPtUMiIiKiCsjMzMTEiRPRuHFjREREICkpCYsXL0Z+fj7ee+89o8cFBQVh3bp1OmPZ2dl46aWX0KNHj8oOm4iIiIiqGRZoiSzE3k6K0e398PWhWKyOjmOBloiIqJpbu3YtcnJyEBkZCQ8PDwCASqXChx9+iKlTp8Lb29vgcS4uLggODtYZ27x5M9RqNQYPHlzJURMRERFRdcMWB0QWFN6xAewkAs7GZ+BSYqa1wyEiIqIKOHToELp06aItzgLAgAEDoFarceTIEbPOtX37djRu3Bht2rSxcJREREREVN2xQEtkQXVc7DGgVfHM2VXRcVaOhoiIiCoiNjYW/v7+OmNubm6oU6cOYmNjTT5PSkoKjh8/ztmzRERERGQQWxwQWdiE0IbYduEudl26hzefCkAdV3trh0RERETlkJWVBTc3N71xd3d3ZGaa/k2ZnTt3QqVSWaRAq1KpKnwOc66ledBDzItxzI1xzI1xzI1xzI1xzI1xzI1xtpwbFmiJLKxVfXeENPDA2fgMrD0Vj9d7NbN2SERERGRF27ZtQ1BQEJo0aVKh86jVaigUCgtFZdr18vPzIQgCJBJ+8U6DeTGOuTGOuTGOuTGOuTGOuTGOuTGuqnOjVqtNvg4LtESVYEJoQ5yNz8C6U/F4uXsT2NtJrR0SERERmcnNzc1gQTQzMxPu7u4mnSMuLg4XLlzAO++8U+F4JBIJXF1dK3weU6lUKoiiCBcXF0ilvJfRYF6MY26MY26MY26MY26MY26MY26Mq+rcmFMEZoGWqBI81aIufNwccC8rHzsv3cOwYF9rh0RERERm8vf31+s1q1AokJycrNeb1pht27ZBIpFg4MCBFompqj9oSaVS7YMeYl6MY26MY26MY26MY26MY26MY26Ms9XccK4zUSWwk0gwrmMDAMWLhYmiaOWIiIiIyFw9evTA0aNHkZWVpR3bvXs3JBIJunbtatI5duzYgU6dOqFu3bqVFSYRERERVXM2V6CNiYnBpEmTEBwcjK5du2LJkiUoLCws87jevXsjMDBQ71FQUFAFURPpG9neDw52EvxzT4HTcenWDoeIiIjMFB4eDmdnZ0ybNg2HDx/Gpk2bsGTJEoSHh8Pb21u738SJE9G3b1+9469cuYKYmBiLLA5GRERERDWXTbU4yMzMxMSJE9G4cWNEREQgKSkJixcvRn5+Pt57770yj+/Xrx8mT56sMyaXyysrXKJSeTjK8Eyb+thw5g5WRcehQ6Na1g6JiIiIzODu7o6VK1diwYIFmDZtGpydnTFy5EjMmjVLZz+1Wm1wNeBt27ZBLpejX79+VRUyEREREVVDNlWgXbt2LXJychAZGQkPDw8AxQ18P/zwQ0ydOlVnpoIhtWvXRnBwcOUHSmSi8aENseHMHez75z4SMvLg6+Fo7ZCIiIjIDE2bNkVUVFSp+6xatcrg+Ny5czF37txKiIqIiIiIahKbanFw6NAhdOnSRVucBYABAwZArVbjyJEj1guMqJyeqOuCMH8vqEXglxNx1g6HiIiIiIiIiIhsjE0VaGNjY/VWxHVzc0OdOnX0VtA1ZNu2bWjVqhVCQkLw0ksv4dq1a5UVKpHJJoQ2BABsOpOAnMIiK0dDRERERERERES2xKZaHGRlZcHNzU1v3N3dHZmZmaUe27t3b7Rp0wb169dHfHw8vvnmG4wbNw6///47GjRoUO6YDPUTqwwqlUr7oLJVp3yF+XuiUS1H3E7Lw+9nExDewa/KY6hO+bI25so8zJfpmCvzMF/mYb6IiIiIiKovmyrQVsT8+fO1f+7QoQO6du2KAQMG4Mcff8QHH3xQrnOq1WooFAoLRVj2tfLz8yEIAiQSm5rYbJOqW76Gt66DLw/GYVX0bQwIcINEEKr0+tUtX9bEXJmH+TIdc2Ue5ss8zFcxtVr9WD9/IiIiIqqebKpA6+bmZrAgmpmZCXd3d7POVbduXbRv3x6XL18udzwSiQSurq7lPt4cKpUKoijCxcUFUqm0Sq5ZnVW3fI3p5IjvjycgLj0fF5OV6NbUq0qvX93yZU3MlXmYL9MxV+ZhvszDfBVjcZaIiIiIqiObKtD6+/vr9ZpVKBRITk7W601bVaryQ45UKtU+qGzVKV9uTlIMD/bFz9Fx+OVEPHoG1K3yGKpTvqyNuTIP82U65so8zJd5mC8iIiIiourJpqYZ9OjRA0ePHkVWVpZ2bPfu3ZBIJOjatatZ50pKSsLp06fRunVrS4dJVC7PhTaEAOBwTCpiU3KsHQ4REREREREREdkAmyrQhoeHw9nZGdOmTcPhw4exadMmLFmyBOHh4fD29tbuN3HiRPTt21f78/bt2zFnzhxs3boVx48fx4YNGzB+/HhIpVJMmjTJGk+FSE8DTyf0CqwDAFgdfdvK0RARERERERERkS2wqRYH7u7uWLlyJRYsWIBp06bB2dkZI0eOxKxZs3T2U6vVOqsU+/n54f79+/jkk0+gUCjg6uqKzp0744033kCDBg2q+mkQGTUhtBH+upaMLecTMaP3E3B3lFk7JCIiIiIiIiIisiKbKtACQNOmTREVFVXqPqtWrdL5OTg4WG+MyBZ1auyJQG8XXEvKxqazCZgc1tjaIRERERERERERkRXZVIsDoppOEASM79QQAPDriTgUqdVWjoiIiIiIiIiIiKyJBVqiKjaodT14OMqQmJmP/deSrR0OERERERERERFZEQu0RFXMQSbF6PZ+AICfj3OxMCIiIiIiIiKixxkLtERWMLZjA9hJBJyOy8CVu1nWDoeIiIiIiIiIiKyEBVoiK/B2c0C/lt4AgNXRcVaOhoiIiIiIiIiIrIUFWiIrGR9avFjYjkt3kZJdYOVoiIiIiIiIiIjIGligJbKStn4eaOPrDqVKxPrTd6wdDhERERERERERWQELtERWNOHBLNq1p+JRWKS2cjRERERERERERFTVWKAlsqKnW3qjrqs9UrILsfvyPWuHQ0REREREREREVczO2gEQPc5kUgnGdmyAZX/9i1XRcXimTT0IgmDtsIiIiIiIiIiqBZVKBaVSae0wbIZKpUJhYSHy8/MhlUqtHY5NsWRuZDKZRfPLAi2RlY1u74dvDsXi8t0snI3PQLuGntYOiYiIiIiIiMimiaKIe/fuISsry9qh2BRRFCGKIlJSUjgB7BGWzo2Hhwd8fHwsci4WaImszNNJjsGt62HT2QSsio5jgZaIiIiIiIioDBkZGcjPz0fdunXh5OTEYuQDoihCpVJBKpUyJ4+wVG5EUURubi7u378PAKhXr16FY2OBlsgGTAhtiE1nE/Dn1fu4m5mPeu4O1g6JiIiIiIiIyCapVCrk5OTAx8cHXl5e1g7HprBAa5wlc+Po6AgAuH//PurWrVvhdgdcJIzIBgR4uyK0sSdUoog1J+OsHQ4RERERERGRzVIqlRAEAU5OTtYOhR5jmvefJXogs0BLZCPGhzYCAKw/fQe5hUVWjoaIiIiIiIjItnGGKFmTJd9/LNAS2YgnA+rAz8MRWflF2HbhrrXDISIiIiIiIiKiKsACLZGNkEoEjA9tCABYfSIOoihaOSIiIiIiIiIiqkwREREIDAw0+Pjuu+8sfr158+Zh8ODBpe6zefNmBAYGIi0tzeLXJ8O4SBiRDRkWXB/L9/+LmOQcHItNQ1hTNjsnIiIiIiIiqmyiSoXCKxegTkuFpJYX5C3bQKjgwk+mcnBwwMqVK/XG69WrVyXXJ+tjgZbIhrg6yDAs2Be/nIjDqujbLNASERERERERVbL8oweR9d0yqFOTtWMSrzpwe3kGHMJ6Vvr1JRIJgoODK/06ZLvY4oDIxjzXqQEEAAdvpOBWao61wyEiIiIiIiKqsfKPHkTGovk6xVkAUKcmI2PRfOQfPWilyB6aMGECpk6dqje+evVqtGnTBgqFAgCwYsUKjBw5EqGhoQgLC8PUqVNx8+bNSokpISEBb7zxBtq3b4/g4GBMmTIF165d09ln3759GD58OEJCQtChQwcMHz4cBw8eNHn744QFWiIb09jLGT2eqA0AWB0dZ+VoiIiIiIiIiGomUaVC1nfLSt0n6/vlEFWqSo+lqKhI76ExaNAgHDlyBBkZGTrHbN++HT179oSrqysA4N69e3juuecQERGBhQsXQq1WIzw8XO+4isrOzsaECRNw5coVfPjhh1i6dCnS09Mxfvx43L1bvOh5XFwcZsyYgSeeeAKRkZH48ssvMWDAAGRmZpq0/XHDFgdENmhCaCMcvJGC388nYkbvZnB1kFk7JCIiIiIiIiKbln94PxS//AgxL9ek/UVlIcSs0guC6pT7uP/8EAgyeZnnExyd4Dp+Chy69jLp+hq5ubkICgrSG//ll1/QoUMH9OvXDwsXLsSePXswevRoAMUzWM+dO4evvvpKu/+7774LURShelBQ7tq1K7p06YI//vgDY8aMMSum0mzevBmJiYnYsWMHmjZtCgDo2LEjevXqhZUrV2LevHm4cuUKlEol/u///g8uLi4AgO7du2vPUdb2xw0LtEQ2qIt/LTSt44yY5BxsPpuIiV0aWTskIiIiIiIiIpuWs3kNVHduW/y8YlYmRDNiMLdA6+DggNWrV+uN+/v7AwA8PT0RFhaGHTt2aAu0O3fuhJOTE3r1enitc+fOYdmyZbh8+bLOTNRbt26ZFU9ZTp06hSeeeEJbnAUADw8PhIWF4fTp0wCAwMBASKVSvPnmmxg9ejQ6duyonelryvbHDVscENkgQRAwIbS4KPvLiTio1Kb+U0BERERERET0eHIeMRZSv0aQeNUx6SG4uZt0XsHN3aTzSf0awXn4WLPjlkgkaN26td7D2dlZu8+gQYNw4sQJJCcX98rdsWMH+vbtC3t7ewBAYmIiJk+eDJVKhffffx+//vorNm7cCC8vLxQUFJgdU2mysrJQu3ZtvXEvLy9tYbhJkyb45ptvoFAoMH36dHTp0gWvvPIKEhMTTdr+uOEMWiIb9Uybevhy3w3cycjDgevJ6NO8rrVDIiIiIiIiIrJZDl17mTV7VVSpkDxllN4CYSVJatdFnR/WQ5BKLRFiufXp0wdyuRy7du1Ct27dcPXqVcyePVu7/e+//0Zubi4iIiLg7OwMqVQKlUpVKT1d3d3dDS4+lpqaCnf3h0XvHj16oEePHsjOzsahQ4ewaNEivPPOO1i5cqVJ2x8nnEFLZKMcZVKMaucLAFgdbfmvaBARERERERE9zgSpFG4vzyh1H7eX3rB6cRYAXFxc8OSTT2LHjh3YsWMHatWqhbCwMO32/Px8CIIAO7uHczF37dqls9iYpbRv3x7Xr19HbGysdiwzMxNHjx5F+/btDcY+cOBADBo0CDExMWZvfxxwBi2RDRvbsSF+Onob0bfScS1JgUDvx7cfCxEREREREZGlOYT1hMc7C5H13TKdmbSS2nXh9tIbcAjrWekxqNVqnDt3Tm/cy8sLDRo00P48ePBgTJ8+HQkJCejfv79OMbZz584AihcKGzVqFGJiYhAVFQU3N7dyx7V//36dNgsA8MQTT2D48OGIiorC1KlTMXPmTNjb2+Prr7+GnZ0dJk6cCABYu3Ytzp07h+7du6NOnTq4c+cOtm7diq5du5q0/XHDAi2RDavn7oCnWtTFH1eSsOp4HBYO0V/VkYiIiIiIiIjKzyGsJ+xDu6HwygWo01IhqeUFecs2VTZzNj8/H2PGjNEbHzlyJD7++GPtzz179oSrqyuSk5MxaNAgnX0DAwOxaNEiREZGYv/+/WjevDmWLVuGmTNnljuud999V29sxowZeO2117Bq1SosXrwY//d//we1Wo127dph9erVqFevnjae/fv3Y9GiRcjIyECdOnUwaNAgzJgxw6TtjxtBFEWuPmTAxYsXAQCtW7eukuupVCooFAq4urpCagNT523d45Svs/EZeG7FCcilEvw1qwdqOcvNPsfjlK+KYq7Mw3yZjrkyD/NlHuarWFXfv1Ulazw3vq8MY16MY26MY26MY26MY26My8nJwa1bt+Dv7w9HR0drh2NTRFGESqWCVCqFIAjWDsemWDo3+fn5uHnzJpo0aQIHBwe97ebcv7EHLZGNC/ZzR6v6bihUqbH+9B1rh0NERERERERERBbEAi2RjRMEAeNDGwIA1p6Kh1KltnJERERERERERERkKRUq0CYmJuLUqVM6Y//88w/efvttzJw5E3/++WeFgiOiYv2DfFDbRY77igLsuZJk7XCIiIiIiIiIiMhCKlSgXbhwISIjI7U/p6Sk4Pnnn8fevXtx6tQpvP7669izZ0+FgyR63MmlEoR3KF65cVV0nJWjISIiIiIiIiIiS6lQgfbChQsICwvT/vz7778jPz8fW7ZswaFDh9ClSxesWLGiwkESETC6vR9kUgEXEjJx/k6GtcMhIiIiIiIiIiILqFCBNjMzE15eXtqfDxw4gI4dO6Jhw4aQSCTo27cvYmNjKxwkEQG1XewxqFU9AJxFS0REVFViYmIwadIkBAcHo2vXrliyZAkKCwtNOjYpKQlz585F586d0aZNGwwYMABbt26t5IiJiIiIqLqxq8jBtWrVQmJiIgAgKysL586dw5tvvqndrlKpUFRUVLEIiUhrfGhD/H4+EXuuJCGpbz683RysHRIREVGNlZmZiYkTJ6Jx48aIiIhAUlISFi9ejPz8fLz33nulHnv//n2MGTMGTZo0wYIFC+Di4oIbN26YXNwlIiIiosdHhQq0YWFhWLVqFVxcXBAdHQ1RFNGnTx/t9n///Rf16tWrcJBEVKxlPTd0aOSJU7fTseZkPGb2ecLaIREREdVYa9euRU5ODiIjI+Hh4QGgeALChx9+iKlTp8Lb29vosUuXLoWPjw9++OEHSKVSAECXLl2qImwiIiIiqmYq1OJgzpw58Pf3x6effoojR47g7bffRoMGxQsZFRYWYteuXbwRJbKwCaENAQDrT99BvlJl5WiIiIhqLs2aCpriLAAMGDAAarUaR44cMXpcdnY2du3ahXHjxmmLs0RERERExlRoBm3t2rWxdu1aKBQK2NvbQy6Xa7ep1WqsXLkSPj4+FQ6SiB7qHVgX9d0dkJiZjx0X72JEOz9rh0RERFQjxcbGYsSIETpjbm5uqFOnTqnrLFy+fBlKpRJ2dnYYP348zp49Cw8PDwwdOhQzZ86ETCar7NCJiIiomoiIiEBkZKTBbXPmzMHLL79s0evNmzcPly5dwvbt243us3nzZrzzzjt6405OTjh79iwA4OLFi/j1119x7tw53Lx5Ez179sS3335r0VgfJxUq0Gq4urrqjTk4OKB58+aWOD0RlSCVCBjXqSE+23sdP0fHYXiILwRBsHZYRERENU5WVhbc3Nz0xt3d3ZGZmWn0uJSUFADA/PnzMXr0aEyfPh0XLlzA8uXLIZFIMGfOnHLHpFJV3bdnVCqV9kEPMS/GMTfGMTfGMTfGMTfGqVQqiKKofVRnoijCwcEBUVFRetvq1atn9vPT7G/suLK2l9z2/fff69T8pFKpdtuZM2dw6tQptGnTBvn5+dXitTDluZt7PlEULfL3tEIF2mPHjuHy5ct48cUXtWMbN25EZGQkCgsLMXjwYMydO5df7SKysBEhvvjvgX9x4342om+loXMTL2uHRERERA+o1WoAxes1zJs3DwDQuXNn5OTkYMWKFZg2bRocHMxf6FOtVkOhUFg01rKul5+fD0EQIJFUqDNajcK8GMfcGMfcGMfcGMfcGKcpCKrV6goXxu7mpiK9MNvodk+5C+o5Vd5nblEUIQgCWrdubXB7eZ6f5l7E2PU0RcWyjm/RogU8PT0NxjN27Fg899xzAIAXXnih3LFWtdJyYy7NLwpycnKgVCoNXsvUv7sVKtBGRESgfv362p+vXbuG999/H4GBgWjYsCFWrVqF2rVrW3w6NtHjzt1RhqFtfbHmVDxWRcexQEtERFQJ3NzcDBZEMzMz4e7uXupxQHFRtqQuXbrgm2++we3btxEYGGh2PBKJxOA31yqL5kOHi4sLJ1yUwLwYx9wYx9wYx9wYx9wYJ5FItIXriuQmMTcVg/b/HwrV+sU1DblEhl1PfYL6lVSkFQQBgiCU+jwmTJgAJycnvRYCq1evxtKlS3H48GG4urpixYoV2LlzJ27dugW5XI7WrVtj3rx5aNKkiVnX0xQVpVKp0f0Mjdv6+1Qzc1bz/qkoqVQKQRDg7Oxs8Jfv5vxipUIF2piYGDz99NPan7ds2QIXFxf88ssvcHR0xHvvvYctW7awQEtUCcaHNsSaU/E4cC0ZcWm5aFjLydohERER1Sj+/v56vWYVCgWSk5Ph7+9v9LhmzZqVet6CgoJyx1TVH3w0H8xs/QNXVWNejGNujGNujGNujGNuDNMUxjSP8spQZpdanAWAQrUSGcps+Aq1y32d0mjiNzT71M6uuGw3ePBgLFy4EJmZmTqLl+7YsQM9e/bU/nI4KSkJzz33HHx8fJCXl4e1a9di7Nix+OOPP7THaa5XWt402x6doazJu6H9K/paVCVLxVqy2F3Rv6MVmiOfl5cHFxcX7c9///03unXrBkdHRwBA69atkZiYWKEAiciwJrWd0a2ZF0QAv56Is3Y4RERENU6PHj1w9OhRZGVlacd2794NiUSCrl27Gj3O19cXAQEBOHr0qM740aNH4eDgUGYBl4iIiB4vubm5CAoK0nucOnUKANCvXz8AwJ49e7THJCQk4Ny5cxg0aJB27N1338WwYcPQqVMn9OzZExERESgsLMQff/xRrri6du2qE8/XX39dgWdJpanQDNp69erh4sWLGDlyJG7fvo0bN25g8uTJ2u2ZmZmQy+UVDpKIDJsQ2giH/03FprMJmN6rGVzsLbLuHxEREQEIDw/HqlWrMG3aNEydOhVJSUlYsmQJwsPD4e3trd1v4sSJSExMxN69e7Vjs2bNwmuvvYaPP/4YTz75JC5evIgVK1ZgypQpcHLit16IiIgqw+6Ek1h+5TfkFOWbtL9SXWTSfi8d+QIySdmft53tHPBGy2Ho79vRpPNqODg4YPXq1Xrjmm/seHp6IiwsDDt27MDo0aMBADt37oSTkxN69eql3f/cuXNYtmwZLl++rLOg6a1bt8yKRyMqKkpnYmbJ+x+yrApVc5555hn897//RVJSEv7991+4u7ujT58+2u2XL19G48aNKxojERnRtakXmng54WZqLn47l4AJoY2sHRIREVGN4e7ujpUrV2LBggWYNm0anJ2dMXLkSMyaNUtnP0MLlPTu3RtffPEF/ve//2HNmjWoW7cuXn/9dbb+IiIiqkQ/3tiF2Oy7Fj9vWqHpi3SuuLHb7AKtRCIxukiYxqBBgzBv3jwkJyejTp062LFjB/r27Qt7e3sAQGJiIiZPnoxWrVrh/fffh4+PD+RyOaZOnVru9kqBgYGoVatWuY4l81SoQPvKK69AqVTi4MGDqFevHhYvXqzte5GRkYETJ07g+eeft0igRKRPIggYH9oQC3b+g19OxOO5Tg0hqSY9X4iIiKqDpk2bIioqqtR9Vq1aZXB84MCBGDhwYCVERURERIZMeWKA2TNoTSm+1pK7mjyDdvIT/U26trn69OkDuVyOXbt2oVu3brh69Spmz56t3f73338jNzcXERERcHZ2hlQqhUql0plJS7arQgVaOzs7zJo1S28WAQB4eHjgyJEjFTk9EZng2bb1seyvfxGXlotDN1LwZEAda4dEREREREREVOX6+3Y0a/bq5YxbGLH/wzL3+77rbAR5NK5AZBXn4uKCJ598Ejt27EBmZiZq1aqFsLAw7fb8/HwIgqBdWAwAdu3ahaIi09o4kHVZrGFlTk4O7t27BwDw8fGBs7OzpU5NRKVwltthRIgvfjp2G6uib7NAS0RERERERFSNqNVqnDt3Tm/cy8sLDRo00P48ePBgTJ8+HQkJCejfv79OMbZz584AihcKGzVqFGJiYhAVFaX9prulpaWl4cSJE9o/5+TkYPfu3QCAnj17wtHRsVKuW1NVuEB74cIFLF26FGfOnIFarQZQ3Dujffv2eOutt8rsoUFEFTeuU0OsPH4bx2LTcON+Np6o61L2QURERERERESPMU+5K+QSGQrVSqP7yCUyeMpdKzWO/Px8jBkzRm985MiR+Pjjj7U/9+zZE66urkhOTsagQYN09g0MDMSiRYsQGRmJ/fv3o3nz5li2bBlmzpxZKTHfuHEDM2bM0BnT/Lxv3z74+flVynVrKkEURbG8B58/fx4TJkyATCbD4MGD0bRpUwBATEwMduzYAaVSiVWrVqFNmzYWC7iqXLx4EQCqrMCsUqmgUCjg6uoKqVRaJdeszpgvfTPWn8Peq/cxqp0fPnympc425st0zJV5mC/TMVfmYb7Mw3wVq+r7t6pkjefG95VhzItxzI1xzI1xzI1xzI1xOTk5uHXrFvz9/Ss8UzMxNxXppfSh9ZS7or6TV4WuUZVEUYRKpYJUKoXANWp0WDo3+fn5uHnzJpo0aQIHBwe97ebcv1VoBu2XX34Jb29v/Prrr6hTR/dr1a+//jrGjh2LL7/8Ej/99JPJ54yJicHChQtx9uxZODs7Y8iQIZg5cybkcrnJ54iKisKiRYvw5JNP4ttvvzX5OKLqbEJoQ+y9eh9bLyRiVp9m8HAy/e8MERERERER0eOovpNXtSrAUs0kqcjB58+fx5gxY/SKswBQu3ZtjB492mAPDWMyMzMxceJEKJVKREREYNasWVi/fj0WL15s8jmSk5Px3//+F15e/MtFj5f2DT3R3McVBUVqbDiTYO1wiIiIiIiIiIjIBBUq0EokEqhUKqPb1Wo1JBLTL7F27Vrk5OQgMjIS3bt3x8iRI/HWW29h7dq1SEpKMukcS5cuRe/evbXtFogeF4IgYEJoQwDAmpNxUKrUVo6IiIiIiIiIiIjKUqECbUhICH755RckJOjP1ktMTMSvv/6Kdu3amXy+Q4cOoUuXLvDw8NCODRgwAGq1GkeOHCnz+FOnTuHPP//EnDlzTL4mUU0ysJUPvJzluJdVgD//uW/tcIiIiIiIiIiIqAwV6kE7e/ZsPPfccxgwYAD69u2Lxo0bAwBu3ryJffv2QSKRmFUsjY2NxYgRI3TG3NzcUKdOHcTGxpZ6rEqlwoIFC/DKK6+gbt26Zj8XoprA3k6K0e398PWhWKyOjsOAIB9rh0RERERERERERKWoUIG2ZcuW2LBhA7788kv89ddfyMvLAwA4Ojqie/fumD59Ojw9PU0+X1ZWFtzc3PTG3d3dkZmZWeqxv/76K/Ly8vDCCy+Y9RzKUloLB0tfR/OgsjFfxo1uVx/fH76Js/EZuBCfjqD6bsyXGZgr8zBfpmOuzMN8mYf5IiIiIiKqvipUoAWAZs2a4b///S/UajXS0tIAALVq1YJEIsHXX3+N5cuX4+rVqxUOtDSpqalYvnw5Pv30U8jlllu5Xq1WQ6FQWOx8ZV0rPz8fgiCY1bf3ccV8GWcPoE9ALfzxTyp+OhqL9/s1Zb7MwFyZh/kyHXNlHubLPMxXMXPXPyAiIiIisgUVLtBqSCQS1K5du0LncHNzM1gQzczMhLu7u9Hjli1bhsDAQHTo0AFZWVkAgKKiIhQVFSErKwtOTk6wszP/qUokEri6upp9XHmoVCqIoggXFxdIpdIquWZ1xnyVblKYP/74JxX7rqdhbr8WqOVix3yZiO8t8zBfpmOuzMN8mYf5KsbiLBERERFVRxYr0FqCv7+/Xq9ZhUKB5ORk+Pv7Gz3u5s2bOHnyJDp27Ki3rWPHjvj+++/Ro0ePcsVUlR9ypFKp9kFlY76Ma9PAEyENPHA2PgMbzibitR5NmC8zMFfmYb5Mx1yZh/kyD/NFRERERFQ92VSBtkePHvjmm290etHu3r0bEokEXbt2NXrcu+++q505q/HJJ5/AwcEBs2fPRmBgYKXGTWSLJoQ2xNn4DKw7FY8pYQ2tHQ4RERERERERERlgU98DCw8Ph7OzM6ZNm4bDhw9j06ZNWLJkCcLDw+Ht7a3db+LEiejbt6/25xYtWiA0NFTn4ebmBg8PD4SGhsLDw8MKz4bIup5qURc+bg5Iy1Vi1+Uka4dDRERERERERI+IiIhAYGCgwcd3331n8evNmzcPgwcPNnn/V199FYGBgfj9998tHgs9ZPYM2suXL5u87/379806t7u7O1auXIkFCxZg2rRpcHZ2xsiRIzFr1iyd/dRqNVcpJiqDnUSCcR0b4It9N/DLiXj0btLC2iERERERERER0SMcHBywcuVKvfF69epZIZqHMjIy8PfffwMAtm/fjqFDh1o1nprM7ALtiBEjIAiCSfuKomjyvhpNmzZFVFRUqfusWrWqzPOYsg9RTTeyvR/+dzAG/yRl41yiAj0etA4hIiIiIiIiItsgkUgQHBxs7TD0/PHHH1AqlQgLC8OxY8eQmpoKLy8va4cFoHiRXLVaDZlMZu1QLMLsAu2iRYsqIw4iqgQejjI806Y+Npy5g2UH49CpqQ+cuXgMERERERERkZ6ihAMoOP4O7Dsvgp3vk9YOR2vChAlwcnLCt99+qzO+evVqLFmyBEeOHIGrqytWrFiBHTt24NatW5DL5WjTpg3mzZuHJk2alOu627dvR6NGjTBv3jw8++yz2LlzJyZMmKCzT1JSEj7//HMcPnwY2dnZqF+/PsaOHYuJEydq9/n9998RFRWFmJgYODk5oU2bNvjggw/g6+uLiIgIrFixAmfPntU5b4cOHTBx4kS8/vrrOjno378/vvnmG8THx2PdunXw9vbGl19+iRMnTiA5ORk+Pj7o378/pk+fDrlcrj2fWq1GVFQUNmzYgPj4eLi7u6N9+/b4+OOPkZiYiGeffRYrVqzQWQNLpVLhySefxDPPPIO33367XDk0ldkF2mHDhlVGHERUSV7r6Y8//0nC9eRcLPrjOhYOaWXtkIiIiIiIiIhsiiiKKDy1EGLGdRSeWghp/Z5mfyu8IoqKivTG7OyKy3aDBg3CwoULkZGRobPO0vbt29GzZ0+4uroCAO7du4fnnnsOPj4+yMvLw9q1axEeHo4//vjD7PWZ7t27h5MnT+K1115DYGAgAgICsH37dp0CbXp6OsaMGQMAmDVrFvz8/HD79m3ExcVp9/nhhx+wdOlSbQtTpVKJ48ePIy0tDb6+vmbFdOnSJSQkJGDGjBlwc3NDvXr1kJqaCg8PD7zzzjtwc3PDrVu3EBERgeTkZJ1JpgsWLMC6devw/PPPo2vXrsjNzcWBAweQm5uLwMBAtG3bFps2bdIp0P7999+4f/8+RowYYVac5WF2gZaIqhdvNwcsGdYKU389i83nEhHSwAMj2vlZOywiIiIiIiIim6FK2A91SvEsTnXKWagS9sPOr3eVXDs3NxdBQUF647/88gs6dOiAfv36YeHChdizZw9Gjx4NAEhISMC5c+fw1Vdfafd/9913IYqidt2mrl27okuXLvjjjz+0hVRTbd++HaIoahcUe+aZZ/D5558jLi4ODRs2BABERUUhNTUVu3btgp9fcZ2hS5cu2nMoFApERkZizJgx+Oijj7TjTz31lFmxaGRmZmLjxo06vXlr166NuXPnan9u164dHB0dMW/ePLz33ntwdHTEzZs3sWbNGsycORMvvvgipFIpBEFAv379tMeNGjUKCxYsQGZmJtzd3QEAmzZtQkhICJo2bVqueM3BAi3RY6Bzk1p4qbMfvj12Bwt2/oMW9dzQsh770RIREREREVHNUXRzCwpOLwKU2WYdJ4oikJ+qM5a/Zxzg4GXeLFqZC+zbvwu7Js+adX0HBwesXr1ab9zf3x8A4OnpibCwMOzYsUNboN25cyecnJzQq1cv7f7nzp3DsmXLcPnyZWRmZmrHb926ZVY8QHGBNigoSBvDoEGD8MUXX2Dbtm2YNm0aAODYsWPo3Lmztjj7qLNnzyIvLw8jR440+/qGBAQE6C2cJooiVq5cifXr1+POnTsoKCjQbouPj0dAQACOHz8OURRLjWPQoEFYtGgRtm/fjueeew5paWnYv38/PvjgA4vEXhYWaIkeExM61sM/Kfk4eCMFM9efx4aXO8PdsWY00yYiIiIiIiIqvBABMfOGZU4mKoG8exDNjeFihNkFWolEgtatW5e6z6BBgzBv3jwkJyejTp062LFjB/r27Qt7e3sAQGJiIiZPnoxWrVrh/fffh4+PD+RyOaZOnapTtDRFTEwMrl69itdffx1ZWVkAAFdXV7Rq1Qrbt2/XFmgzMjLwxBNPGD1PRkYGAKBu3bpmXd+Y2rVr642tXLkSn376KV588UWEhobCzc0NFy9exEcffaR93hkZGbCzs4OXl5d2dvGjnJycMHjwYGzcuBHPPfcctm7dCplMhgEDBlgk9rKwQEv0mJAIAj5+tiXCfzyJOxl5eOf3i4gMD4GkCnvqEBEREREREVUWeZs3UHD6E7Nm0Gpnz4pK/Y2CzLxZtDIXyFu/bvK1zdGnTx/I5XLs2rUL3bp1w9WrVzF79mzt9r///hu5ubmIiIiAs7MzpFIpVCqVzkxaU23duhUAEBERgYiICL3tly9fRlBQEDw8PHD//n2j59H0vb1//z58fHwM7mNvbw+lUjf3SqUSubm5evsaeh12796N3r17Y86cOdqxmJgYvTiKioq0/WqNGTVqFNatW4d//vkHmzdvxoABA+Ds7Gx0f0tigZboMeLuKMNXo9ti3I8ncOB6Cr4/fBNTu/tbOywiIiIiIiKiCrNr8qzZs1eL7vyF/D9GGd4oKuHQI6LKetGWxsXFBU8++SR27NiBzMxM1KpVC2FhYdrt+fn5EARBu7AYAOzatcvg4mNl2bFjB4KDg3UKwEBx4fSVV17Btm3bEBQUhC5dumDFihVITExE/fr19c4TEhICR0dHbNq0CW3atDF4LW9vbyiVSp3etsePHzc60/VR+fn5kMl0vx28bds2nZ87d+4MQRCwefNmTJ482ei5WrdujRYtWmDhwoW4du0a3n//fZNisAQWaIkeMy3rueH/BrXA/229jIj9/6K1rzvC/L2sHRYRERERERFRlRJFEYWnPwEgAAabGQgoPP0JpL69zOtFaya1Wo1z587pjXt5eaFBgwbanwcPHozp06cjISEB/fv31ynGdu7cGUDxQmGjRo1CTEwMoqKi4OZm3vozZ8+eRXx8PF599VWEhobqbdcUid9++2288MIL2LJlC8aPH49XX30VDRo0QHx8PG7duoW33noLrq6umDZtGj777DOIoog+ffpArVYjOjoagwYNQuvWrdGjRw84OTlh/vz5eOmll3Dv3j38/PPP2tYNZQkLC8PPP/+M1atXo3Hjxti6dStu376ts0+TJk0QHh6OZcuWIT09HWFhYSgoKMCBAwfw+uuvw9vbW7vvqFGj8NFHH6FJkyZo3769WbmrCBZoiR5DI0J8cS4+A5vOJuCtTRewaWoX+Lg5WDssIiIiIiIioqqjLoSYcweGi7MAIELMSQDUhYDUtIJheeTn52PMmDF64yNHjsTHH3+s/blnz55wdXVFcnIyBg0apLNvYGAgFi1ahMjISOzfvx/NmzfHsmXLMHPmTLNi2b59OxwdHdGvXz+D24cOHYq9e/ciOjoaXbp0wZo1a/D555/js88+Q15eHnx9fTFu3Djt/i+99BJq1aqFqKgobN68Gc7OzggJCYGXV/FEMU9PTyxfvhyffvoppk2bhhYtWmDJkiWYMGGCSfFOmzYN6enpWL58OQCgX79+mD9/Pl555RWd/d577z34+flh/fr1WLVqFTw8PNCxY0e9FgZ9+/bFRx99hBEjRpicM0sQRFE0t9/xY+HixYsAUGaTZktRqVRQKBRwdXWFVCqtkmtWZ8yXeQzlK1+pwnMrTuDqPQXa+rlj5QsdIZdKrByp9fG9ZR7my3TMlXmYL/MwX8Wq+v6tKlnjufF9ZRjzYhxzYxxzYxxzYxxzY1xOTg5u3boFf39/ODo6Vuhc6uwEiPkpRrcLjrUhcfat0DWqkiiKUKlUkEqllTrrtzoyJTcbN27E+++/jwMHDqBOnTqlni8/Px83b95EkyZN4OCgP+nNnPs3zqAlekw5yKT4anRbjPruOM7fycTSPdfxnwHNrR0WERERERERUZWRuPgCLtWnAEuV486dO7h9+zb+97//YcCAAWUWZy2N0+WIHmMNPJ2weFjxb3J+ORGHHRfvWjkiIiIiIiIiIqKqFRkZialTp8LX1xfz5s2r8uuzQEv0mHsyoA6mdm8CAHhv22XcuJ9t5YiIiIiIiIiIiKrO4sWLcenSJaxatQq1a9eu8uuzQEtEmP5kM3Txr4U8pRoz1p9DdkGRtUMiIiIiIiIiInossEBLRJBKBCwd3gY+bva4lZqL+Vsvg+sHEhERERERERFVPhZoiQgAUMtZji9HtYWdRMCeK0n4+XictUMiIiIiIiIiMooTi8iaLPn+Y4GWiLTa+nlgXr9AAMBne6/j1O10K0dEREREREREpEsmk0EUReTm5lo7FHqMad5/Mpmswueyq/AZiKhGGduxAc7eycCOi/cwZ+MFbJzaGXVc7K0dFhEREREREREAQCqVwtnZGcnJyRAEAU5OThAEwdph2QRRFKFSqSCVSpmTR1gqN5pfDty/fx8eHh6QSqUVjo0FWiLSIQgCPhzcEtfuKfBvcg7e3HgBPz7fHnYSTrgnIiIiIiIi2+Dh4aEtktFDoihCFEUIgsAC7SMsnRsPDw/4+PhYIDIWaInIACe5HZaNDsao74/j5O10LNv3L+b0DbB2WEREREREREQAiicX+fj4wMfHB0ql0trh2AyVSoWcnBw4OztbZGZnTWLJ3MhkMovmlwVaIjKoSW1nfDwkCLM2XMCPR2+hrZ87nmrhbe2wiIiIiIiIiLSkUikLkSWoVCoolUo4ODgwL4+w5dzwO8tEZFS/lj6Y2LkRAODdLZdxKzXHyhEREREREREREdUsLNASUalmP/UE2jX0QHZBEWauP488pcraIRERERERERER1Rgs0BJRqWRSCb4Y2QZeznJcv5+ND7dfgSiK1g6LiIiIiIiIiKhGYIGWiMpU19UBX4xsA6kgYOuFu1h3+o61QyIiIiIiIiIiqhFYoCUik3RsXAsz+zQDACza/Q8uJGRaOSIiIiIiIiIiouqPBVoiMtnksMZ4qnldKFUiZm04j/TcQmuHRERERERERERUrbFAS0QmEwQBHw8JQqNaTribmY+3N1+ESs1+tERERERERERE5cUCLRGZxdVBhmWj28LBToIjMan4+lCMtUMiIiKqNDExMZg0aRKCg4PRtWtXLFmyBIWFZX+DpHfv3ggMDNR7FBQUVEHURERERFSd2Fk7ACKqfgK8XfHBMy0x77dL+PpgLNr4uqPHE3WsHRYREZFFZWZmYuLEiWjcuDEiIiKQlJSExYsXIz8/H++9916Zx/fr1w+TJ0/WGZPL5ZUVLhERERFVUyzQElG5PNumPs7FZ2DtqTuY+9slbHy5M3w9HK0dFhERkcWsXbsWOTk5iIyMhIeHBwBApVLhww8/xNSpU+Ht7V3q8bVr10ZwcHDlB0pERERE1RpbHBBRuc3r1xyt67shM0+JmevPo6BIZe2QiIiILObQoUPo0qWLtjgLAAMGDIBarcaRI0esFxgRERER1Sgs0BJRucntJPhydFt4OMpw+W4WFu2+Zu2QiIiILCY2Nhb+/v46Y25ubqhTpw5iY2PLPH7btm1o1aoVQkJC8NJLL+HaNf47SURERET62OKAiCqkvrsjlgxvjam/nMH603cQ7OeOocG+1g6LiIiowrKysuDm5qY37u7ujszMzFKP7d27N9q0aYP69esjPj4e33zzDcaNG4fff/8dDRo0KHdMKlXVfVtFpVJpH/QQ82Icc2Mcc2Mcc2Mcc2Mcc2Mcc2OcLeeGBVoiqrBuzWpj2pNNEXkgBh/uuIrmPm5o7uNq7bCIiIisZv78+do/d+jQAV27dsWAAQPw448/4oMPPijXOdVqNRQKhYUiNO16+fn5EAQBEgm/eKfBvBjH3BjH3BjH3BjH3BjH3BjH3BhX1blRq9UmX4cFWiKyiFd6+OP8nUz8/W8KZqw/hw0vd4abg8zaYREREZWbm5ubwYJoZmYm3N3dzTpX3bp10b59e1y+fLnc8UgkEri6Vt0vQFUqFURRhIuLC6RSaZVd19YxL8YxN8YxN8YxN8YxN8YxN8YxN8ZVdW7MKQKzQEtEFiERBHw6rBVGfncc8el5ePf3S1g+JhgSQbB2aEREROXi7++v12tWoVAgOTlZrzdtVanqD1pSqVT7oIeYF+OYG+OYG+OYG+OYG+OYG+OYG+NsNTec60xEFuPhJMdXo9tCJhXw17VkrDhyy9ohERERlVuPHj1w9OhRZGVlacd2794NiUSCrl27mnWupKQknD59Gq1bt7Z0mERERERUzbFAS0QW1aq+O/4zoAUA4Ku/biD6ZpqVIyIiIiqf8PBwODs7Y9q0aTh8+DA2bdqEJUuWIDw8HN7e3tr9Jk6ciL59+2p/3r59O+bMmYOtW7fi+PHj2LBhA8aPHw+pVIpJkyZZ46kQERERkQ1jiwMisrhR7XxxLj4Dv59PxJubLmDjy53h7eZg7bCIiIjM4u7ujpUrV2LBggWYNm0anJ2dMXLkSMyaNUtnP7VarbMasJ+fH+7fv49PPvkECoUCrq6u6Ny5M9544w00aNCgqp8GEREREdk4FmiJyOIEQcD/DWqBq/cUuJakwOyNFxA1sQNkUk7aJyKi6qVp06aIiooqdZ9Vq1bp/BwcHKw3RkRERERkDKslRFQpHGVSfDW6LVzt7XA2PgOf771u7ZCIiIiIiIiIiGwOC7REVGka1XLCJ0NbAQB+jo7Drsv3rBwREREREREREZFtYYH2/9u787Co6vZ/4O+ZgQFZhp0BUURcEBTEBQ0XTLPM6sklNTWXFrcefUytp6f62U5p9rUyzUytNCzTsixNLW3R3KjU1NwFFTdmWGeGZZhh5vz+AAYGGGWdM8D7dV1cMmfOcs/d8XTO7WfuDxE1qru6BGJa//YAgBe/P4WUjDyRIyIiIiIiIiIichws0BJRo5s7pAP6hvmgwGDCU5uPI99QLHZIREREREREREQOgQVaImp0TlIp3n4oBoGeLkjNzMfL205DEASxwyIiIiIiIiIiEh0LtERkF/4eLnhnTAycpBLs+Ccdn/9xVeyQiIiIiIiIiIhExwItEdlNz1Af/PfuzgCAJT+dw99Xc8UNiIiIiIiIiIhIZCzQEpFdTeobinu7KlFsFjDvq+M4cV0jdkhERERERERERKJhgZaI7EoikeD1f3VFuL871LoijF+bjEmf/oE9Z1QwmdmXloiIiIiIiIhaFocr0KakpOCxxx5DbGws+vfvjyVLlsBgMNx2u2eeeQb33HMPYmNjERcXh0ceeQT79++3Q8REVFvuLk5YM6kXRnZvDSepBEfTcjF383Hc/8EBfPFHGgoMxWKHSERERERERERkFw5VoNVoNJg6dSqMRiOWL1+O+fPnY/PmzVi8ePFttzUajXj00UexcuVKLFmyBN7e3pgxYwb++usvO0RORLUV7OWKN0d2w555AzF9QHsoXJ2Qll2AxJ1nMeTdfXj35wvI0BWJHSYRERERERERUaNyEjuAir788kvk5+djxYoV8Pb2BgCYTCa8+uqrmDlzJpRKpc1tly1bZvU6ISEBd911F7777jv07t27McMmonoI9HTF/Ls6YebA9tj69w2sP3wFV3MKsWb/JXx68DIeiA7G1Ph2iFB6ih0qEREREREREVGDc6gRtPv27UN8fLylOAsAw4cPh9lsxoEDB2q1L5lMBk9PTxiNxgaOkogag5vcCRP7hGLHnAF4f1x39GzrjWKzgK3Hb2DUqkOYlnQE+y9mQhDYp5aIiIiIiIiImg+HGkGbmpqKhx56yGqZQqFAQEAAUlNTb7u9IAgwmUzQ6XT45ptvcOXKFbz22muNFS4RNQKZVIKhkUoMjVTi+LVcrD98BT+dVuFgahYOpmahY4A7psaH4V/RwZA7OdS/MRERERERERER1ZpDFWi1Wi0UCkWV5V5eXtBoNLfd/uuvv8bChQsBAG5ubnj33XfRo0ePesVkMpnqtX1tjlP2Q7fHfNVOU81Xt2BPvD2qG+YN7oANf1zFN3/fwMWMfLz4/Sm89/MFTOjdBg/3agNvN+cGO2ZTzZVYmK+aY65qh/mqHeaLiIiIiKjpcqgCbX3ddddd6NKlC3JycrBr1y7MmzcPK1aswKBBg+q0P7PZDJ1O18BR2j6WXq+HRCKBVMpRgbfDfNVOU8+XQgb8Oz4Yk3sG4Pt/MvDV3yqo8wxYsTcVaw5cxn2R/ni4hxKhPq3qfaymnit7Y75qjrmqHeardpivEmazuUV/fiIiIiJqmhyqQKtQKKotiGo0Gnh5ed12e19fX/j6+gIomSRMo9Hg7bffrnOBViqVwtPTPhMTmUwmCIIADw8PyGQyuxyzKWO+aqe55MvTE5h1pw+eGNgRP51RY/3hNJxJ1+Hbk2psPanGoM7+mNo3FL1CvSGRSOp0jOaSK3thvmqOuaod5qt2mK8SLM4SERERUVPkUAXa8PDwKr1mdTodMjIyEB4eXuv9de3aFfv27atXTPZ8yJHJZJYfuj3mq3aaU75kMhke7B6Cf8W0xp9XcrDu0GX8dj7T8tOttQJT72iHe6KUcJbV/mG9OeXKHpivmmOuaof5qh3mi4iIiIioaXKoYQYJCQk4ePAgtFqtZdmuXbsglUrRv3//Wu/vyJEjaNu2bUOGSEQORCKRoE+YL1ZO6Ints/tjXK82cHGS4p8bWvz3m5MY9v5+fHrwMnR6o9ihEhERERERERFVy6FG0I4fPx5JSUmYPXs2Zs6cCZVKhSVLlmD8+PFQKpWW9aZOnYobN25g9+7dAIDffvsNW7duxZ133ong4GBoNBps374d+/fvxzvvvCPWxyEiOwr3d8crD0Rh7uCO+PKvq9j451Wka/V4e/d5rNybgjE922BS31CEeNe/Ty0RERERERERUUNxqAKtl5cX1q9fj9dffx2zZ8+Gu7s7xowZg/nz51utZzabrWYpbtu2LQwGA5YuXYqcnBz4+PggIiICSUlJ6NOnj70/BhGJyNddjn8P6oAn+odh+4mbWHf4ClIy8rH+8BVsSE7DPVFKPBrfDtEht+9rTURERERERETU2ByqQAsAHTp0wLp16265TlJSUpVtVq5c2YhREVFT4+Ikw0M922BUjxDsv5iJdYeu4PClbOw8lY6dp9LRM9Qbj8aHYXDnAMikdZtQjIiIiIiIiIiovhyuQEtE1JCkEgkSOgUgoVMAzqRrsf7QFez4Jx1H03JxNO1vhPq6YeodoRjRvTXc5LwkUuPJLTDivCoPcR4eYodCREREREREDoTVCCJqMSKDFFg8Khrz7+qEz/+4is1HriItuwCv7ziL939NwcO92mB8rxC4ih0oNRuaQiN+PqvGrtPpOJyajWKzgJfvM+PhuFCxQyMiIiIiIiIHwQItEbU4SoUrFgzthJkJ7fHtsRtISr6CqzmFWL3/Ej49dBn9wrwR4usOHzcXeLs5w7uVc+mfcstrN7kMEglbI1BVOr0Rv5zLwK5T6TiQkoVis2D1/rrDVzC2d1tIef4QERERERERWKAlohbMXe6ESX1DMSGuLX45p8a6Q1dw7Gou9qbkACk5t9zWWSaBV6uy4q285M/SQq5XxWVu1sudpFI7fTqyp7yiYvxyTo0fT6mwPyUTRlN5UbZToAfujVJiQAdfPJF0FFeyC/H7hUwM6hwgYsRERERERETkKFigJaIWTyaV4O5IJe6OVOJYWjYOXVRBb5JCozdBU2hAbqERuQVGy58GkxlGk4DMPAMy8wwA8mt8LE8XJ0vR1qtsVG6lQm7ZSF2v0tduzhyt64jyi4rx2/kM7Dqtwu8XMmEwmS3vhfu7Y3jXIAzrqkTHgJKesyaTCf/qFoCNR9ORlJzGAi0REREREREBYIGWiMhKTIgX2iuk8PT0hEwmq/K+IAgoNJqsiraaAiNyCw3lRVzLeyXLNIVGaPXFAABdUTF0RcW4mlNY45icZRJ4t5LDz0OOIIULlJ6uUCpcS35XuCJI4QqlwoWTnNlBgaEYe89nYtfpdOy7kImi4vKibJifG4Z3DcK9XYPQKbD6icDGdFdi07F0HEzNwsWMPEvxloiIiIiIiFouPs0TEdWCRCKBm9wJbnIntPZqVePtis1maAuLS4u3VUflVjdSN7fQAKNJgNEkICOvCBl5RTibrrN5DIWrE5SlxdqgSkXcst89XJw4GreWCo0m7LuQgV2nVNh7PgP6CkXZUF83DO+qxL1dg9A50OO2uQ1WuODOzgH45VwGNiSn4ZUHoho7fCIiIiIiInJwLNASEdmBk1QKX3c5fN3lANxrtI0gCCgwmiyjcDPyiqDSFkGl1SNdq4dKW4T00t8LDCZo9cXQ6vNwQZ1nc59ucpllxK1S4VpayHUpXVZSxPVq5dzii7h6own7L2Zi5ykVfjuvRqGxvCjb1qcVhkUF4d6uSkQGedY6V5Pi2uKXcxn4/vgNzLurE7xbOTd0+ERERERERNSEsEBLROSgJBIJ3OVOcJc7IcT71qN184qKS4u2eqSXFnEr/p6u1UOrL0aBwYTUzHykZtrum+viJLUefetZtZ2Cr7sc0mZWxC0qNmH/xSzsOp2OX89loMBgsrwX4u2Ke6NK2hdEBde+KFtR73beiFB64JwqD1uOXsMT/ds3RPhERERERETURLFAS0TUDHi4OKFjgMcte5oWGIqh1hVZjb5VVfo9u8CIomIz0rILkJZdYHNfTlJJyShcTxf4tpKhja8Hgr1aIcirfCSun7sLZFLHLuIais04mJqFnafS8ctZNfIrFGWDFK64t7R9QXRrRYONKpZIJJjUtx1e/P4UvvjzKqbGt4OTVNog+yYiIiIiIqKmhwVaIqIWwk3uhDA/J4T52W6xUFRsglpXVGn0bfko3HStHll5BhSbBVzP1eN6rr50y+wq+5JJJAjwdLEafVs2ArespUKAp9zuxUmDyYxDqVn48ZQKP59VQ1dUbHlP6emCYVFKDO8WhOgQr0YbJfxAdBDe2XMeNzV6/HI2A/dEKRvlOEREREREROT4WKAlIiILFycZ2vq4oa2Pm811DCYzMkqLuDdyC5CWqUVuEaDOM1haK6h1RTAJgqWoC2iq3ZdUAvh7uECpcEFwadG2YnuFIIUrAjxdIJfVr4hrNJmRfCkbO0+l4+ezamj15UXZAI+Souy9XZWIbettl9YNLk4yjOvVBh/9fglJyVdYoCUiIiIiImrBWKAlIqJakcukCPFuhRDvVugeooBO5w5PT0/IZDLLOsVmM7LyDJYCbXkbhfLRuGpdEYrNAtS6Iqh1RTh5XWvzmH7ucgSXtk9QelpPaqYsHZXr4iSz2qbYbMYfl3Kw61Q6dp9VQ1NotNpfWVG2Z6iPKP10J8S1xccHLuNIWi5O39QiKlhh9xiIiIiIiIhIfCzQEhFRg3OSSi2jYbvbWMcsCJYirlUrBZ11IddoEpCVb0BWvgH/3LBdxPV1c7aMunWTy3AwNQs5BUar9++JKukp2yvUR/T+uIGerhgWpcQP/6RjQ3Ia3hzZTdR4iIiIiIiISBws0BIRkSikpT1qAzxdEB3iVe06ZkFAToHBaiKzskJu2e/pWj2Kis3ILjAiu8CIM+k6y/berZxxd2TJSNm4MB+Hm4xrUt9Q/PBPOn745yYWDO0Efw8XsUMiIiIiIiIiO2OBloiIHJZUIoGfuwv83F1stgAQBAGaQqPVZGY5BUbEhHghLswHzvXsX9uYurfxRkyIF05c12DzkWv496AOYodEREREREREdsYCLRERNWkSiQTebnJ4u8nRJchT7HBqbVLfUDz7zUl8+ddVTBvQvt4TohEREREREVHTwqdAIiIiEd0TpUSAhwsy8wzYdSpd7HCIiIiIiIjIzligJSIiEpFcJsWEuLYAgA3JaRAEQeSIiIiIiIiIyJ5YoCUiIhLZuF5tIJdJ8c8NLY5f04gdDhEREREREdkRC7REREQi83WX4/7oIABAUnKayNEQERERERGRPbFAS0RE5AAm920HAPjptArpWr3I0RAREREREZG9sEBLRETkALoEeSKunQ9MgoCNf14VOxwiIiIiIiKyExZoiYiIHMTkvqEAgK+OXIPeaBI5GiICgJSUFDz22GOIjY1F//79sWTJEhgMhlrtY926dYiIiMDMmTMbKUoiIiIiaspYoCUiInIQgyMCEeLtitxCI7afvCl2OEQtnkajwdSpU2E0GrF8+XLMnz8fmzdvxuLFi2u8j4yMDHzwwQfw8/NrxEiJiIiIqCljgZaIiMhByKQSTIwrGUWblJwGQRBEjoioZfvyyy+Rn5+PFStWYODAgRgzZgz++9//4ssvv4RKparRPt5++20MGTIEHTp0aORoiYiIiKipYoGWiIjIgTzUMwStnKW4oM5D8uVsscMhatH27duH+Ph4eHt7W5YNHz4cZrMZBw4cuO32f/31F/bs2YOnn366EaMkIiIioqaOBVoiIiIHonB1xojurQGUjKIlIvGkpqYiPDzcaplCoUBAQABSU1Nvua3JZMLrr7+OWbNmITAwsDHDJCIiIqImzknsAIiIiMjapL7t8OVf1/DbuQxczSlAWx83sUMiapG0Wi0UCkWV5V5eXtBoNLfc9osvvkBhYSEeffTRBo3JZLLfBIImk8nyQ+WYF9uYG9uYG9uYG9uYG9uYG9uYG9scOTcs0BIRETmYcH93DOjgh/0pWfjij6v437AIsUMiolrIysrC+++/j7feegtyubzB9ms2m6HT6RpsfzU5nl6vh0QigVTKL96VYV5sY25sY25sY25sY25sY25sY25ss3duzGZzjY/DAi0REZEDmtQ3FPtTsrDl2HXMubMD3F34v2wie1MoFNUWRDUaDby8vGxut2zZMkRERKB3797QarUAgOLiYhQXF0Or1cLNzQ1OTrX/Oy2VSuHp6Vnr7erKZDJBEAR4eHhAJpPZ7biOjnmxjbmxjbmxjbmxjbmxjbmxjbmxzd65qU0RmE97REREDmhAR3+E+bnhclYBth6/gUf6hIodElGLEx4eXqXXrE6nQ0ZGRpXetBVdunQJf/75J+Li4qq8FxcXhzVr1iAhIaFOMdn7QUsmk1l+qBzzYhtzYxtzYxtzYxtzYxtzYxtzY5uj5oYFWiIiIgcklUgwqU8oEneexYbkNEyIawupRCJ2WEQtSkJCAlatWmXVi3bXrl2QSqXo37+/ze1eeOEFy8jZMm+++SZcXV2xYMECRESwbQkRERERlWOBloiIyEGNiG2NZb9cxJXsAvx+MRODOgWIHRJRizJ+/HgkJSVh9uzZmDlzJlQqFZYsWYLx48dDqVRa1ps6dSpu3LiB3bt3AwAiIyOr7EuhUMDNzQ19+/a1W/xERERE1DSwWzAREZGDcpc7YXSPEADAhuQ0kaMhanm8vLywfv16yGQyzJ49G0uXLsWYMWPw3HPPWa1nNpsdcjZgIiIiImoaOIKWiIjIgT3Spy2Skq/gQEoWUjLy0CHAQ+yQiFqUDh06YN26dbdcJykp6bb7qck6RERERNQycQQtERGRA2vj44bBEYEAOIqWiIiIiIioOWKBloiIyMFN6hMKAPj+xA1oCo0iR0NEREREREQNiQVaIiIiB9cnzAcRSg8UGs3Ycuy62OEQERERERFRA2KBloiIyMFJJBLLKNov/khDsdksckRERERERETUUFigJSIiagLujw6Gdytn3NDo8eu5DLHDISIiIiIiogbCAi0REVET4Oosw7hebQAASZwsjIiIiIiIqNlggZaIiKiJmBDXFk5SCf66koMz6VqxwyEiIiIiIqIGwAItERFRE6FUuOKeKCUAjqIlIiIiIiJqLligJSIiakIm9y2ZLOyHkzeRlV8kcjRERERERERUXyzQEhERNSHd23gjOkQBo0nA5r+uiR0OERERERER1RMLtERERE3M5L7tAAAb/7oKg8kscjRERERERERUHyzQEhERNTH3RCkR4OGCzDwDfjylEjscIiIiIiIiqgcWaImIiJoYuUyK8b3bAAA2/HFF5GiIiIiIiIioPligJSIiaoLG9W4DZ5kEJ69rcfxartjhEBERERERUR2xQEtERNQE+bm74P7oYABAUnKayNEQERERERFRXTlcgTYlJQWPPfYYYmNj0b9/fyxZsgQGg+GW26jVaixZsgQjRoxAjx49kJCQgKeffhrXr1+3U9RERET2N7lvKADgp9MqqLR6kaMhIiIiIiKiunCoAq1Go8HUqVNhNBqxfPlyzJ8/H5s3b8bixYtvud2pU6ewe/duDB8+HCtXrsRzzz2H8+fPY+zYscjOzrZT9ERERPYVGaRA73Y+KDYL2PjnVbHDISIiIiIiojpwEjuAir788kvk5+djxYoV8Pb2BgCYTCa8+uqrmDlzJpRKZbXb9erVCzt37oSTU/nH6dmzJ+68805s3boVjz/+uD3CJyIisrvJfUPx15UcbD5yDbMSwuHqLBM7JCIiIiIiIqoFhxpBu2/fPsTHx1uKswAwfPhwmM1mHDhwwOZ2CoXCqjgLAEFBQfD19YVarW6scImIiEQ3JCIQrb1ckVtoxA8nb4odDhEREREREdWSQxVoU1NTER4ebrVMoVAgICAAqamptdrXpUuXkJWVhQ4dOjRkiERERA5FJpVgYp+SXrRJyWkQBEHkiIiIiIiIiKg2HKrFgVarhUKhqLLcy8sLGo2mxvsRBAGJiYkIDAzE/fffX6+YTCZTvbavzXHKfuj2mK/aYb5qjrmqHear5hozVyNjgvDBbxdxXp2Hw6mZ6BPm2+DHsDeeW7XDfBERERERNV0OVaBtKMuXL8fhw4exdu1auLm51Xk/ZrMZOp2uASO79bH0ej0kEgmkUoca2OyQmK/aYb5qjrmqHear5hozV1IA93bxx7cn1Vh38BIi/ZwbdP9i4LlVO8xXCbPZ3KI/PxERERFVTzCZYDh5DKab12EIDoFrdA9IZI4zf4dDFWgVCkW1BVGNRgMvL68a7WPz5s344IMP8MYbbyA+Pr5e8UilUnh6etZrHzVlMpkgCAI8PDwgc6ATxFExX7XDfNUcc1U7zFfNNXauHu0fjm9PqrE/NReaYie08WnV4MewJ55btcN8lWBxloiIiIgq0x/cC+3qZTBnZQAANAB0fgFQzHgKrv0GiRtcKYcq0IaHh1fpNavT6ZCRkVGlN211du/ejVdeeQVz587FmDFjGiQmez7kyGQyyw/dHvNVO8xXzTFXtcN81Vxj5qqTUoH+HfxwICULXx65jv8Ni2jwY9gbz63aYb6IiIiIiKzpD+5F7qKFVZabszKQu2ghvJ9PdIgirUMNM0hISMDBgweh1Woty3bt2gWpVIr+/fvfctvk5GQsWLAAY8eOxezZsxs7VCIiIoczqW/JZGHfHLuOfEOxyNEQERERERHZl1BUhOJraSg6+gfyd26F5r03b7m+ds37EBxgHgeHGkE7fvx4JCUlYfbs2Zg5cyZUKhWWLFmC8ePHQ6lUWtabOnUqbty4gd27dwMAUlJSMHv2bISFhWHEiBH4+++/Lev6+voiNDTU3h+FiIjI7gZ29EeYnxsuZxXgu79vYGIf/v+PiIiIiIiaB0EQIOTpYFKnl/xkqEp+1OkwqVUwZ6TDrMmt1T7NmWoYTp+AS3SPxgm6hhyqQOvl5YX169fj9ddfx+zZs+Hu7o4xY8Zg/vz5VuuZzWarWYqPHz8OnU4HnU6HCRMmWK07atQoLF682C7xExERiUkqkeCRPqF4Y+dZbPgjDePj2kIqkYgdFhERERER0W0JJhPMOVmWgqspo7QIq1bBrE6HKVMFobCwwY9rzs5q8H3WlkMVaAGgQ4cOWLdu3S3XSUpKsno9evRojB49uhGjIiIiahpGdm+NZb9cxOWsAuy/mImETgFih0RERERERATBUGQpuFYeAWtWq2DKUgN1bTcgkUDqFwBZQCBkAUGQBSohGI0o+G7zbTeV+vrV7ZgNyOEKtERERFR37i5OeKhHCNYfvoINyWks0BIRERERUaMTBAFCfl55+wF1afE1o7T4mpEOc25O3Q8gl0MWoCz/CQyCLDAI0rLX/oGQOFmXOQWTCfr9v8KclWFzt1L/QMijYuoeVwNhgZaIiKiZmdinLT47fAX7U7KQmpmPcH93sUMiIiIiIqImTDCZYM7NLi++lo6ANWeUtyOoT/sBiYdnSdHVqgCrLC3ABkHq7QNJLdu3SWQyKGY8hdxFC22uo5g+FxKZrM5xNxQWaImIiJqZtj5uGBwRgF/OZWBD8hW8dH+U2CEREREREZEDEwxFMGWqy4uvlgJs6eusDKC4uG47l0gg9fWHLLBsBGxJ8bV8BGwQpG5uDfuBSrn2GwTv5xOhXb3MaiSt1D8Qiulz4dpvUKMct7ZYoCUiImqGJvdth1/OZeC74zfw1JBO8GrlLHZIREREREQkAkv7gQyVVQsCc2kLApNaBXNudt0P4Cwv7f2qLB8FW1Z8DQyCzC8AEmfxnkdc+w2CS98B0J88hoKb1+EWHALX6B4OMXK2DAu0REREzVCfMB90CvTABXUevjl2HY/1CxM7JCIiIiIiagSC2QxzThZMGSoY02+g+FoadJpcCJlqS1FWKCyo8/4l7h6Wnq/lk3AFQRoQWPKnlw8kUmkDfqKGJ5HJII/ugaKwjpB7ejpUcRZggZaIiKhZkkgkmNw3FC9tO40v/kzDlDvaQSatXc8mspaVX4S1+y8j3N8dD/UMgbSWPbCIiIiIiOpCMBpKJ9xSWbUgMGeqS37PVFdpP1DjZgQSCaQ+fpaer2UtCKSB5aNhpW6c06KxsUBLRETUTD0QHYx39lzA9Vw9fj2nxtBIpdghNVm7TqXj9R1nkFNgBAB8d/wGXnuwKydgIyIiIqJ6M+fpKhRgS4uvahVMmSWvzTn1aD/g5FzacqBCwdUyCZf47QeoBAu0REREzZSrswxje7XBmv2XkJScxgJtHWTlF+H1HWfx02kVACDc3x3pWj2OXs3FqFUH8WRCBzzePwxymWN/pYuIiIiIxFHSfiC7pNdraQHWXDYKNrNkRKxQkF/n/UvcPax6v0r8A2HwVMA9NAzOymBIvX0dvv0AsUBLRETUrE2Ia4tPDlzGn1dycCZdi8gghdghNRk7T6UjsXTUrJNUgukD2mNmQjgy84rw2g9nsO9CJt7/9WLJ6NoHuyI6xEvskImIiIjIzkraD6grFGBVMKvTy0fEZqiBYmOd9y/19Svt+VrSfkBaYRIuWYASUncPq/VNJhNMOh2cPT0hc7A+q2QbC7RERETNWJDCFfdEKbHzVDo2JKfhjRHdxA7J4VUeNRuh9MAbI7ohKrikuN3aqxU+nNADP/yTjkW7zuK8Og8TPk7G5L7t8J/BHeAm5+0VERERUXNhzs8rGe1aWnA1q9NL+sCWFmTN2Vl137mTc+mkW8rSSbdKWxGUTsIl8w+AxFnecB+GHBafIIiIiJq5yX1DsfNUOn44mY6nh3aGrztv8myxNWq2cgsDiUSCB6KD0S/cD4t/PIftJ29i/eEr+PmsGq/+Kwrx4X4ifQIiIiIiqinBbIY5N9tScDVXnIQrIx2mDDWE/Lw671/i5m5dcA0s7f9aOiKW7QeoDAu0REREzVz3Nl6Ibq3AyRtabD5yDbMSwsUOyeHcbtSsLb7uciwZHY37o4Pw6vYzuJZbiCeSjmBUbGs8e08EvFpxwgUiIiIisQhGI0yZakvB1ZyhtkzC1SDtB3x8S1sNVCi+VmhBULn9AJEtLNASERE1cxKJBJP6tsP/vj2JjX9e5aRWldR01OytDOoUgG3/9sG7P1/Axj+v4tu/b2DfhUy8eF8k7oni5GxEREREjcFckA9zVoal4GounYSrZESsCuacLEAQ6rZzJyfI/APLe71aCq+lI2ADAtl+gBoMC7REREQtwLCuSry9+xwy8orw02kVHogOFjsk0dV11Kwt7i5OWHhfJO7rFoSXtp1GamY+5n11HEO7BGLhfV0Q6OnakOETERERNWuC2QyzJsdScDVXmISruHQUrL4gv877l7Rysx7tWjoJV9mIWKkP2w+Q/bBAS0RE1ALIZVKM790WK35LwYbktBZdoBUEAbtOqfD6jjPILaz7qFlbeob6YMvMO/DRvktYe+AS9pxVI/lSNv57T2c81CMEEomkAT4FERERUdMmGI0wlY1+VZf2f604AjZTDRgNdd6/1Me3pOAaUFp8rVCMlQUoIfXwbMBPQ1Q/LNASERG1EON6tcFHv6fixHUNjl/LRfc23mKHZHdZ+UV4/Ycz+OmMGkD9R83a4uIkw9whHTGsqxIvfX8KJ29o8dK20/jh5E288q+uaOfr1qDHIyIiInI05oKCkom21Okwl07CZaowCVd92w9IfP3hFFg2+VZQhQKsEjL/QEjkLg37gYgaEQu0RERELYS/hwvu7xaMrcdvYENyWosq0Db2qFlbIpSe+OKJvkhKvoL3f7mI5Ms5GPnhQcy5swOmxreDE7825/BSUlKQmJiIY8eOwd3dHSNGjMC8efMgl9+659wzzzyDEydOQK1Ww9nZGZ07d8aTTz6JAQMG2ClyIiKixiMIAsy5OSUTb5UWXE1WI2DTIeTn1Xn/5e0HAiENKCvAlrcgEDy9kFdQAE9PT8hksgb8ZETiYIGWiIioBZnUNxRbj9/Aj6dVeOZuPZSK5t8XNTOvCIk7Ko6a9cQbI7o2+KhZW2RSCR6ND8NdXQLx8rbTOHwpG0v3XMCuUyq89mAUIoPsE4c9mQUBJ69rcCkzH/dFBzfZSek0Gg2mTp2KsLAwLF++HCqVCosXL4Zer8dLL710y22NRiMeffRRhIWFoaioCF9//TVmzJiBzz77DL1797bTJ6g7wWSC4eQxmG5ehyE4BK7RPSDhAzARUYthaT+QoYK5tOBqVYDNqGf7AW9fyAKVkJa2IJBVakEgcfe4ZVsok8lU52MTOSIWaImIiFqQqGAFeoV640haLr786yqeGtJJ7JAaTXWjZmcMbI8ZAxt31KwtbX3c8PHkXvj27xtY8tM5nLqpxbjVyXi8fxj+PSgcLk5Nu/hlMgs4kpaD3WfU+PmsCunaIgCAVCLBg91bixxd3Xz55ZfIz8/HihUr4O3tDaDkgfDVV1/FzJkzoVQqbW67bNkyq9cJCQm466678N133zl8gVZ/cC+0q5fBnJUBANAA0PkFQDHjKbj2GyRucERE1CBK2g+UTrxV1vM1o7QNgVoFc3Zm3dsPyGSQ+QeWTLwVUGHirdIRsbIAJdsPEFXCAi0REVELM7lvOxxJy8XmI9cwK6HpFwark5lXhNd3nMHuCqNm3xzZVfTRqhKJBKN7hGBgJ3+8sfMsfjqtwpr9l7D7jAqv/asrerfzETW+2jKYzEi+lI3dp1X45Zwa2QVGy3tuchmGRAQioZO/iBHWz759+xAfH28pzgLA8OHD8fLLL+PAgQMYPXp0jfclk8ng6ekJo9F4+5VFpD+4F7mLFlZZbs7KQO6ihfB+PpFFWiIiB1fWfsBcoeBaeQSskKer8/4lrVpZRr2Wj4Atb0Eg9fHjty6IaokFWiIiohZmSJcABHu54qZGj+0n0/FQjxCxQ2owjjZq1pYADxe8N7Y79pxR4bUdZ3A5qwBT1v2Jh3u1wdN3d4aHi+PeohUaTThwMRO7z6rx27kM6IqKLe8pXJ0wpEsg7olUIj7ct8kX/1NTU/HQQw9ZLVMoFAgICEBqaupttxcEASaTCTqdDt988w2uXLmC1157rbHCrTfBZIJ29bJbrpP7f69B3vsOSF1cIXFxhcTFBRK5HBK5CyQuLoDcpeT30tclv8sBF5eS9a3ekwPO8lt+hZWIiKoSiothylSXFmDLe76aMtSWibhgqE/7AR/IAoIgLev5WqkFgcTDk9duogbmuHf/RERE1CicpFJMjGuLpXsuYEPyFYyObd0sbrIdddTsrQyNVKJPe1/830/n8fWx69h05Br2XsjAS/dH4c7OAWKHZ5FXVIzfzmdgzxkVfr+YiUKj2fKev4ccQ7sEYmikEnHtfODsQIXw+tJqtVAoqp4/Xl5e0Gg0t93+66+/xsKFJaNR3dzc8O6776JHjx71iqkxe+4ZTh6ztDWwyWiA4dC+hjuoRFJSpK1Q6EWlAi/kLpC4yC3FXZQWfa0LwnJIXFyt3rNat6yA7CyHpJ6T85lMJssPWWNubGNubGNuqhIKS9oPGFU3YbiaBp1OAyFTDVOmCma1CuacLMBsvv2OqiOTQeoXUDLSNTAIMv/A0kJsaTsC/8CS66Wt2AAIdT12A+J5YxtzY5sj54YFWiIiohZoTM82WLk3BedUefjzSg76hPmKHVKdCYKAnafSkbjjrGXU7MyB4Zg+sL1DjZq1ReHqjNce7Ir7ooPw8rbTuJpTiH9vPIb7ugXh+Xsj4OcuTo+2nAIDfjmXgd1nVDiUmgWjqbwPXWsvV9wdqcTdkYGIbesNaTMo8DeGu+66C126dEFOTg527dqFefPmYcWKFRg0qG4tAsxmM3S6un8l9XZMN6832r5tEgTAUATBUIQ6djqsPWdnwLl0VK+zCyCXl/w4lxWIS15bvVf22sUFgpMzjAAED4+SonCV7eRAxdfSpj2SvDbMZjP0ej0kEgmk9SyENzfMjW0tLTeCIABaDYQsNYSsDAiZGRAy1SU/WRkQsjKASu0H9LU5gIsrJP4BkPgFQuIfCIlfQMlr/5LX8Paxui6ZS38s34cxGOo1+tZeWtp5UxvMjW32zo3ZbK7xcVigJSIiaoG8WjnjwZjW2HTkGpKS05psgbYpjpq15Y72ftj6ZD+s+PUi1h++gh3/pONAShaeHxaBf8UE22WUs0qrx89n1dh9Vo2/LufAVGFykPZ+bqVFWSWiglvGVxsVCkW1BVGNRgMvL6/bbu/r6wtf35K/WwkJCdBoNHj77bfrXKCVSqXw9PSs07Y1YQgOwe3HBQOez7wMp/YdywurRSV/wlAEochQsqzstcFg/b7BAKFIX/raUGn7its2YnHAaCz5KcivUhSuaZFYigrFjNtxcq52xC8qt3uQl7WBqDCSuNqRxZXfLx0tXLauTLxHPJPJBEEQ4OHhARn7T1phbmxrbrkRiothzsoonYCrpOWAOUNVMvFWpgqmDDVgKKrz/iVe3iWjXwPKRr0Glo+GbUHtB5rbedOQmBvb7J2b2hSBWaAlIiJqoR7pG4pNR67h57NqjFp1EJ0CPdEp0MPy09rL1WFv8Jv6qFlbWjnL8N97IjC8WxBe/P4Uzqny8NzWf7D95E28/EAUQrxbNfgxr+YUYPcZNfacUeHva9bluS5BnrgnUomhkYHoGODR4Md2dOHh4VV6zep0OmRkZCA8PLzW++vatSv27atfe4DGfJhwje4BnV/ALdscSP0D4TZgcKNP/iKYzYDRWFrA1VsVcgWDAbD8XnF5aZG3qMI2FYrGlQvKZcVjlB6j0RQbIRQbIRTkN94xKpLJqukJXN72oawXMCouq1LslVdY7lpNIbnCuk5OVv+vkMlklh+yxtzY1pRyY9YXwqwunXirmkm4zNmZdW8/IJVB6l/SfkAWGASpfyAMnl5wb9sOzkGtSwqwt2g/0NI0pfPG3pgb2xw1NyzQEhERtVAdAzxwf7cg/PBPOs6p8nBOlWf1vrtcZinWdgz0QOfSAq6vu1ykiEs0p1GztnRr7YXN0+/AJwcv48O9qdifkoUHVx7EvLs6YmJcKGTS+hXOL2bkYc8ZNX46o8LZdOsRorFtvDC0tH1BWx+3eh2nqUtISMCqVausetHu2rULUqkU/fv3r/X+jhw5grZt2zZ0mA1GIpNBMeMp5C5aaHMdxfS5dpmZWyKVlk4s5gJ4Nv7fbUEQAKPBasSvYCiqphBsgElfCL1WAxeJBBKjwarYW3U7Q3mRudJI4ToXcG7HZIJQWAChsKBx9l+ZVFpe8JW7QHB2RrFrK+vRwFUKwRX6AlecPK5S0bi67TixHDUmQRAgaHOtCq6VJ+ESdDX5rkH1JC6uln6vssDSibcqTMIl9fW3usaaTCaYdTrIPT0drphERA2LBVoiIqIWbMnoaDw1pCMuqPOsflIz85FvMOHva5oqoyr93OVWI207BXqgY4AH3F0a97aiuY6atcVZJsXMgeG4J1KJF7edwtG0XCzadQ47/knH6w92rdWIVkEQcPqmDrvPqLDnrBqpmeUj+aQSIC7MF3d3CcRdXQKhVLg2xsdpksaPH4+kpCTMnj0bM2fOhEqlwpIlSzB+/HgolUrLelOnTsWNGzewe/duAMBvv/2GrVu34s4770RwcDA0Gg22b9+O/fv345133hHr49SIa79B8H4+EdrVy6xG0kr9A6GYPheu/erWnsHRSSQSy2hTeNy6jYTJZEKxTge3ehRMBEEAioutir+VW0JUHAWMCq0jhEpFY1QsAlcoJJe3nSjdR2NNiGI2Q9AXAvpCS4uIGrd/qAuJpNoWENYTw1lPLCdxcS0dUSxH9SOGK+2nQtEYchaEmxPBVAxzVqZVwbVkBGz5iNj6tB+QenlbWg/IAktGwZYUYEt+l3gqeD4RUbVYoCUiImrBJBIJ2vi4oY2PGwZHBFqWG01mXM4qwEV1Hs6rdZbC7bWcQmTlG5B1KRuHL2Vb7SvE2xWdAz3RsbRo2znQA2H+7g1SPG0Jo2Ztae/vjs8ejcPmv65h6Z7zOH5Ng9GrDt22OG0WBPx9NRe7z6ix+4wKNzTlX+F2kkrQr4Mf7o5UYkhEAHzcxB0V7ai8vLywfv16vP7665g9ezbc3d0xZswYzJ8/32o9s9lsNRtw27ZtYTAYsHTpUuTk5MDHxwcRERFISkpCnz597P0xas213yC49B0A/cljKLh5HW7BIXCN7mGXkbMthUQiAZydIXF2Btzt0z5EMBVbt3uoMKpXqNAP2FYrCKFIX/7eLUYam0uLxig2NtIHEUpiKdJDaLw586zZKuyWjfi1FHTl1RSKS/4UnJxhMptR5OUFWSu3qqOJK44YbkGT+ggmEwwnj8F08zoMDXCtMesLLf1ey0fAlrcgaLD2A6UFV6sRsAFKSFz5j5xEVDcSQRDsNmFqU3Ly5EkAQHR0tF2OZzKZoNPp4MmvLtQI81U7zFfNMVe1w3zVXHPJVYGhGCkZ+Vajbc+rdcjMq35CHyepBO383CztEcp+2vi0gvQWI0jK8uXh4YEfz2QgcedZaCqMmp0xsD2cm+Go2du5qdHj9R2n8dv5TABAxwB3vP5gV3QL9oROp4OrmzuOXtNiT+lI2Yr/XVo5SzGwoz+GRioxqJM/PF2dxfoYjcbe92/2JMZnay7XrYbGvNhWMTdSoNrJ46pOLHfrVhA2RwxbrW8AjI4/63yNOTlXU7x1rXbEsM3RxLZ6DVfuT+wi3sRy+oN7q47W9wuAYsZT1Y7WL2k/oClvOVDNn4K2IdoPVDcCNghSPz+754rXG9uYG9uYG9vsnZva3L9xBC0RERHVmJvcCdEhXogOsZ7BPqfAUDratqRoW/Z7XlFJQTclIx87T5Wv38pZio4BHhVG25YUcP09yr9Kmp1vxIu7TuLncyUPbl2CPPHmiG7oEtR4s9g7umAvV3wwvgd2nkrHmzvP4mJGPiZ+/AfG9QqBrqAIBy7nQlNY/uViDxcn3Nk5APdEBqJ/R3+0cuZNOhHZh0Qmg6SVG9DKPr2sBbPZunhb3cRy1UweV7kVRJWJ5SytIwyVCsV1/xr8bZVNLGeneeUgk1m3dXC5zYhhq9YR8kpF4mr6BlduHeHkBP3BvdX2uzZnZSB30UK4/WsMpF4+ViNgzRmqek3oJ1F4VWk5UPG1ROHF9gNEJBoWaImIiKjefNzkiAvzRVyYr2WZIAhI1xbhQoUWCRfUeUjJyEeh0YyTN7Q4eUNrtR/vVs7oFOiBdr6t8NMZFbR6U4sfNVuZRCLBfd2CER/uh7d+PIfvT9zEpiPXLe/7uDnjrohA3B2lRN/2vs2yPy8RUWUSqRRwdbXbV8xtTSxX0n7Bum2EYCiCWV8IvU4HuQSlk8uVt46wFIOr7MuOE8sV5EMosFNFWCIFhFt/loJtX9dun1IppH4BpQXXwCqTcEkDlJC6tqpH0EREjYsFWiIiImoUEokEwV6uCPZyRUKnAMvyYrMZV7MLLb1ty0bbpmUXILfQiD+v5ODPKzkAgC5KD7w5MrpFj5q1xcdNjsWjonF/dDA2/pEGfzcZ7osOQe/2vnBqQf0LiYjEUJuJ5YDyyeXc6/i1WsvEcpZRwAYbPYMrTSxX3eRxlda1fq98xDDMjTSx3G2Ks9WSu1Tt+VqhBYHUz1+0Vg1ERA2BVzAiIiKyKyepFO393dHe3x3DosqX640mpGaW9Lc9r9LB1wV4JD4crvLm1yu1IQ3s6I9+7X3K+2mxOEtE1OxYTSwH+/yjpVBcbKNncKURwhUnkKumFUTlieVMmWqY1em3Pb7bg2PRavAwyAICIVF4s/0AETVrLNASERGRQ3B1liEqWIGoYIWlgT9bGhAREYlD4uQEiZMT4ObeoPstOnkMOS/Mve16LncMhHPHiAY9NhGRo+JTDxERERERERHZhTwqBlK/gFuuI/UPhDwqxk4RERGJjwVaIiIiIiIiIrILiUwGxYynbrmOYvpcSOrQq5eIqKligZaIiIiIiIiI7Ma13yB4P59YZSSt1D8Q3s8nwrXfIJEiIyISB3vQEhEREREREZFdufYbBJe+A6A/eQwFN6/DLTgErtE9OHKWiFokFmiJiIiIiIiIyO4kMhnk0T1QFNYRck9PFmeJqMViiwMiIiIiIiIiIiIikbBAS0RERERERERERCQSFmiJiIiIiIiIiIiIRMICLREREREREREREZFIWKAlIiIiIiIiIiIiEgkLtEREREREREREREQiYYGWiIiIiIiIiIiISCQs0BIRERERERERERGJhAVaIiIiIiIiIiIiIpE4iR2AozIajRAEASdPnrTbMc1mM6RS1sxrivmqHear5pir2mG+ao65qh3mq3aYL8BgMEAikYgdRqMQ494U4HllC/NiG3NjG3NjG3NjG3NjG3NjG3Njmz1zU5t7UxZobRDj5p5/eWqH+aod5qvmmKvaYb5qjrmqHeardpivkvu35lqgFetz8byqHvNiG3NjG3NjG3NjG3NjG3NjG3Njmz1zU5t7U4kgCEIjx0NERERERERERERE1WBJnYiIiIiIiIiIiEgkLNASERERERERERERiYQFWiIiIiIiIiIiIiKRsEBLREREREREREREJBIWaImIiIiIiIiIiIhEwgItERERERERERERkUhYoCUiIiIiIiIiIiISCQu0RERERERERERERCJhgZaIiIiIiIiIiIhIJCzQEhEREREREREREYmEBVoiIiIiIiIiIiIikTiJHQABKSkpSExMxLFjx+Du7o4RI0Zg3rx5kMvlYofmUHbu3Invv/8ep06dglarRbt27TB58mQ89NBDkEgkYofn8PLz8zF8+HCoVCp8/fXXiI6OFjskh/Ptt99i/fr1SElJgZubG6Kjo7FixQq4urqKHZrD+fnnn7Fq1SpcvHgR7u7u6NWrF5555hm0bdtW7NBEdeXKFXz88cc4fvw4Lly4gPDwcGzfvr3Kel999RXWrl2LGzduoH379pg/fz4GDx4sQsTiul2+8vLy8Omnn2Lv3r24fPky5HI5YmJiMH/+fERERIgYuThqen6V2bNnD2bPno1OnTrdcj1q3mp73pQRBAFr1qzBF198gezsbERGRuL5559HbGys1XoqlQqJiYnYv38/nJ2dcffdd+P555+Hh4dHI32ihlOX3KjVaqxbtw4HDhxAWloaPD09ERcXhwULFiAkJMSyXnJyMqZMmVJl+/vuuw/vvvtug3+WhlbX82bIkCG4fv16leUnTpyAi4uL5XVLO29snQ8A0L59e+zateuW6zWF86auz2ot4VpTl9y0lGtNXc+blnCtqUtuWsK1BgD27t2LNWvW4OLFi8jLy4NSqcTQoUMxZ84ceHp63nLbmjyH6XQ6LFq0CHv27IHRaMTAgQOxcOFCBAYGNubHYoFWbBqNBlOnTkVYWBiWL18OlUqFxYsXQ6/X46WXXhI7PIeybt06hISE4LnnnoOPjw8OHjyIF198Eenp6ZgzZ47Y4Tm8lStXwmQyiR2Gw/rwww+xZs0azJo1C7GxscjJycGhQ4eYs2okJydjzpw5GDlyJObPn4/c3FwsW7YMjz/+OLZt29aiC9oXLlzA3r170b17d5jNZgiCUGWdH374AS+++CJmzZqFO+64Azt27MCcOXPw+eefV3kYae5ul68bN25g06ZNeOihhzBv3jwUFRXhk08+wcMPP4wtW7agQ4cOIkUujpqcX2X0ej3efPNN+Pv72zFCckS1OW8qWrNmDd5//30888wziIiIwOeff47HH38c3333neUf44xGI6ZNmwYAWLp0KfR6Pd566y08/fTT+OijjxrtMzWUuuTm1KlT2L17Nx566CF0794dOTk5+PDDDzF27Fhs374dvr6+VusvWrQI4eHhltc+Pj4N/jkaQ13PGwAYNmwYHn/8catlFQeetMTzpmvXrti0aZPVsry8PEyfPh0JCQlV1m+K501dn9VawrWmLrlpKdea+jzjN/drTV1y0xKuNQCQm5uLmJgYTJ48Gd7e3rhw4QKWL1+OCxcu4JNPPrG5XU2fw+bNm4eLFy/ilVdegYuLC9577z1Mnz4dW7ZsgZNTI5ZRBRLVqlWrhNjYWCEnJ8ey7MsvvxQiIyOF9PR08QJzQFlZWVWWLVy4UOjZs6dgMplEiKjpuHjxohAbGyts3LhR6Ny5s3DixAmxQ3IoKSkpQlRUlPDbb7+JHUqT8OKLLwpDhgwRzGazZdmhQ4eEzp07C3/++aeIkYmv4rXof//7n3D//fdXWeeee+4RFixYYLXs4YcfFqZNm9bo8Tma2+UrPz9fKCgosFqWl5cn9OnTR3jttdfsEqMjqcn5Vea9994THnnkkduuR81fbc6bMnq9XujZs6ewdOlSy7KioiJh8ODBwssvv2xZtm3bNiEiIkJISUmxLPv999+Fzp07C8ePH2+YD9CI6pIbjUYjGI1Gq2U3b94UIiIihI8//tiy7PDhw036nqsuuREEQRg8eLDw6quv3nKdlnjeVGfLli1VPnNTPm/q8qzWUq41dclNS7nW1PUZvyVcaxqq/tHcrjW2bNq0SejcufMt62g1eQ47evSo0LlzZ+H333+3LEtJSREiIiKEH374oeEDr4A9aEW2b98+xMfHw9vb27Js+PDhMJvNOHDggHiBOaDK/0oIAJGRkcjLy0NBQYEIETUdiYmJGD9+PNq3by92KA7pm2++QZs2bTBo0CCxQ2kSiouL4e7ubvXVmrKvkgi1GGHTHEmlt/7f6tWrV3H58mUMHz7cavl9992HQ4cOwWAwNGZ4Dud2+XJzc0OrVq2slrm7uyM0NBRqtboxQ3NIt8tXmbS0NHz66adYuHBhI0dETUFNz5uKjh49iry8PKtrlVwux9133419+/ZZlu3btw8RERFWo2/69+8Pb29v7N27t36B20FdcqNQKKqMngkKCoKvr2+zui7VJTc11RLPm+ps374dYWFhiImJaZD9ia0uz2ot5VpTl9y0lGtNYz7jt8TzpjrN7VpjS1lNzWg0Vvt+TZ/D9u3bB4VCgf79+1vWCQ8PR2RkpNV1qTGwQCuy1NRUqwsGUHIxDggIQGpqqkhRNR1HjhyBUqlsEj1kxLJr1y6cP38es2fPFjsUh3X8+HF07twZK1euRHx8PLp164bx48fj+PHjYofmkEaPHo2UlBR8/vnn0Ol0uHr1Kt555x1ERUWhZ8+eYofn0Mqu65X/saRDhw4wGo24evWqGGE1KVqt1tLzj6r3xhtvYMSIEejSpYvYoVATVXatqvz3rEOHDrhx4wb0er1lvcrrSCQStG/fvkXdx166dAlZWVnVtl2ZMWMGIiMjkZCQgLfeesuSu+Zs27Zt6NatG3r06IHp06fj3LlzVu/zvAEyMzNx+PBhPPDAA9W+31zOm9s9q7Xka01dnmNbyrWmprlpidea2p43zf1aYzKZUFRUhFOnTuGDDz7AkCFD0KZNm2rXrelzWGpqKtq3b1+lz294eHijnzfsQSsyrVYLhUJRZbmXlxc0Go0IETUdf/31F3bs2IH//e9/YofisAoLC7F48WLMnz+fRexbyMjIwD///IPz58/j5ZdfRqtWrbBq1So8/vjj+Omnn+Dn5yd2iA6ld+/eWLFiBZ5++mm89tprAEr+NXft2rWQyWQiR+fYyq7rla/7Za953b+9t99+GxKJBBMmTBA7FIf0yy+/4NixY5ZJIIjqQqvVQi6XW020ApRcqwRBgEajgaurK7RabbWTcbSk+1hBEJCYmIjAwEDcf//9luWenp6YNm0a4uLi4OLigsOHD+OTTz5Bampqk+h9WFdDhgxBTEwMWrdujatXr2LVqlWYOHEitm7dauknyvMG2LFjB0wmU5WiSXM6b2ryrNZSrzV1eY5tKdeamuamJV5r6nLeNPdrzeDBg6FSqQAAAwcOxNKlS22uW9PnsFudN//880+DxG0LC7TUJKWnp2P+/Pno27evzVkKqWTiKz8/Pzz00ENih+LQBEFAQUEBli1bZhlx1r17dwwZMgQbNmzAU089JXKEjuXo0aN49tlnMW7cONx5553Izc3FypUrMWPGDHzxxRctepIwalxbtmzB5s2bsXjxYgQFBYkdjsMpKirCm2++if/85z/Vfi2OiBre8uXLcfjwYaxduxZubm6W5VFRUYiKirK8jo+PR2BgIF577TWcOHGi2X7VtGJrld69e6N///4YPnw4Pv74Y7zyyiviBeZgtm3bhq5du1YZydVczhs+q9lW19y0hGtNbXLT0q41dT1vmvu1ZvXq1SgsLMTFixfx4YcfYtasWfj000+b7KAhtjgQmUKhgE6nq7Jco9HAy8tLhIgcn1arxfTp0+Ht7Y3ly5c3ao+spuz69ev45JNPMHfuXOh0Omi1WkuvmoKCAuTn54scoeNQKBTw9va2+jqwt7c3oqKicPHiRREjc0yJiYm444478Nxzz+GOO+7Avffei9WrV+P06dP47rvvxA7PoZVd1ytf97VardX7VNXevXvx0ksv4d///jdGjRoldjgOaf369ZBKpbj//vuh1Wqh1WphNBphNpuh1WpbXI9jqjuFQgGDwYCioiKr5VqtFhKJxHKtUigUyMvLq7J9S7mP3bx5Mz744AO8+uqriI+Pv+36ZX3vGnsEjiMJDAxEr169cOrUKcuyln7epKWl4cSJE3jwwQdrtH5TO29q86zW0q41dX2ObQnXmvo+4zfna01dc9PcrzUA0KVLF/To0QNjx47FypUrkZycjN27d1e7bk2fw8Q8b1jZEll1fSx0Oh0yMjLYX68aer0eM2fOhE6nw9q1a6sdek4lrl27BqPRiBkzZiAuLg5xcXGYNWsWAGDKlCl47LHHRI7QcXTs2NHme5VvGAlISUmp0tsyKCgIPj4+SEtLEymqpqHsul75up+amgpnZ2fLV7LI2t9//42nnnoKI0eO5Ij2W0hNTcWVK1cQHx9vue5v374dKSkpiIuLw5YtW8QOkZqIsmvVpUuXrJanpqaidevWlm9KVHcfKwgCLl261OzvY3fv3o1XXnkFc+fOxZgxY8QOp0lpyecNUDKiTSqV4r777hM7lAZX22e1lnStqetzbEu41jTWM35LPm+A5n2tqU5ERAScnZ1tPo/W9DksPDwcly5dqjL5tT3OGxZoRZaQkICDBw9aqvZAyaROUqnUatY4Kpk5ft68eUhNTcXatWuhVCrFDsmhRUZG4rPPPrP6ef755wEAr776Kl5++WWRI3QcgwcPRm5uLs6cOWNZlpOTg1OnTqFr164iRuaYWrdujdOnT1stu379OnJychASEiJSVE1D27ZtERYWVqU/6I4dOxAfHw+5XC5SZI7r4sWLmDlzJu644w68+uqrYofj0KZPn17luj9gwACEhITgs88+w5AhQ8QOkZqInj17wsPDAzt37rQsMxqN+Omnn5CQkGBZlpCQgLNnz+Ly5cuWZYcOHUJubi4GDRpkz5DtKjk5GQsWLMDYsWNrNQnrDz/8AACIjo5urNAcjkqlwpEjR6w+c0s9b8r88MMP6NOnDwIDA2u8PuD4501dntVayrWmrs+xLeFa01DP+M3xWlPf3DTXa40tx48fh9FotDlJWE2fwxISEqDRaHDo0CHLOpcuXcLp06etrkuNgT1oRTZ+/HgkJSVh9uzZmDlzJlQqFZYsWYLx48ezAFnJq6++il9//RXPPfcc8vLy8Pfff1vei4qKYmGjEoVCgb59+1b7XteuXVl4rGDo0KGIjo7G3LlzMX/+fLi4uGD16tWQy+WYOHGi2OE5nPHjx+PNN99EYmIihgwZgtzcXEu/47KvxrRUhYWF2Lt3L4CSonVeXp7lJqBPnz7w9fXFf/7zHzzzzDMIDQ1F3759sWPHDpw4cQIbNmwQM3RR3C5fgiDgiSeegIuLC6ZOnWr1lSsPD49bjn5vjm6Xrw4dOlSZ2fnbb7+FSqWy+f8Dav5qcl2aOnUqbty4YflaoIuLC2bOnInly5fD19cXnTt3xsaNG5Gbm4snnnjCsu9hw4bho48+wn/+8x8sWLAAhYWFWLJkCe68884m0b+uLrlJSUnB7NmzERYWhhEjRljdj/r6+iI0NBQA8Mwzz6Bdu3aIioqyTMCybt06yz2Ho6tLbrZv345ff/0VgwYNQmBgIK5evYrVq1dDJpNZfXOrJZ43ZU6fPo2UlBSb32RryudNTZ7VWuq1pi65aSnXmrrkpqVca+qSmzLN+VoDAHPmzEG3bt0QEREBV1dXnD17Fh9//DEiIiIwdOhQAMALL7yArVu3Wg0sqslzWI8ePTBgwAC88MIL+N///gcXFxe8++67iIiIwD333NOon4sFWpF5eXlh/fr1eP311zF79my4u7tjzJgxmD9/vtihOZwDBw4AABYvXlzlvZ9//tnmv5QQ3Y5UKsXq1auxaNEivPTSSzAajejduzc+//xzBAQEiB2ew5kyZQrkcjk2btyILVu2wN3dHbGxsXjvvffg4+MjdniiysrKqvIV/LLXn332Gfr27YsHHngAhYWFWLNmDVavXo327dtjxYoV6NGjhxghi+p2+QJKJkUAgEcffdRqvT59+iApKanxg3QgNTm/iCqryXljNpthMpms1pk+fToEQcAnn3yC7OxsREZG4uOPP7ZqxeLs7Iy1a9ciMTERCxYsgJOTE+6++2688MILjf/BGkBdcnP8+HHodDrodDpMmDDBattRo0ZZ7lM7deqEbdu24ZNPPoHRaERISAhmzZqFGTNmNPKnahh1yU2bNm2gVqvx5ptvQqfTwdPTE3fccQfmzp3b4s+bMtu2bYNcLsewYcOq3XdTPm9q8qzWUq81dclNS7nW1CU3LeVaU9e/U0DzvtYAQExMDHbs2IHVq1dDEASEhIRg7NixeOKJJywD96rLTU2fw9577z1LbaC4uBgDBgzAwoUL4eTUuCVUiVC5sQIRERERERERERER2QV70BIRERERERERERGJhAVaIiIiIiIiIiIiIpGwQEtEREREREREREQkEhZoiYiIiIiIiIiIiETCAi0RERERERERERGRSFigJSIiIiIiIiIiIhIJC7REREREREREREREImGBloiIiIiIiIiIiEgkLNASETVxycnJiIiIQHJystihEBERERHZ1TfffIOIiAicPHlS7FCIiOqMBVoiotvgTd+tnTt3DnPnzsXgwYMRHR2NgQMH4rHHHkNSUpLVeqtWrcKePXtEipKIiIiI6qrsftjWz99//y12iERETZqT2AEQEVH9xMXF4cSJE3B2drb7sY8ePYopU6agdevWGDt2LAICAnDz5k0cP34cn332GSZPnmxZ96OPPsKwYcMwdOhQu8dJRERERPU3d+5ctGnTpsry0NBQEaIhImo+WKAlImripFIpXFxcRDn2qlWr4Onpia+//hoKhcLqvaysLFFiIiIiIqLGkZCQgOjoaLHDICJqdtjigIiogZw+fRrTpk1Dz5490aNHD0ydOrXar3udPXsWkyZNQkxMDBISErBy5Ups2bIFERERuHbtmmU9s9mM5cuXY8CAAejevTsmT56MixcvYsiQIXjuuecs61XXg3by5Ml44IEHcPHiRUyePBndu3fHwIEDsWbNmirxXL9+HbNmzUJsbCzi4+Px5ptv4vfff69RX9u0tDR07NixSnEWAPz8/Cy/R0REoKCgAN9++63lq3AVP4NKpcLzzz+Pfv36oVu3brj//vvx9ddfW+2v7HPu2LED77zzDvr374/Y2FjMmjULN2/evGWcRERERNS4rl27hoiICHz88cdYt24dBg8ejJiYGEyaNAnnz5+vsv6hQ4cwceJExMbGonfv3njyySeRkpJSZT2VSoUXXngBAwYMQLdu3TBkyBC8/PLLMBgMVusZDAYsWrQId9xxB2JjYzF79mxkZ2c32uclImpIHEFLRNQALly4gEceeQTu7u6YNm0anJycsGnTJkyePBkbNmxA9+7dAZTcYE6dOhUAMGPGDLi5ueGrr76CXC6vss+lS5di7dq1GDx4MAYOHIizZ8/iiSeeQFFRUY1i0mg0mDZtGu6++24MHz4cP/74I/7v//4PnTt3xqBBgwAABQUFmDp1KjIyMjBlyhT4+/tj+/btNZ5wLCQkBMeOHcP58+fRuXNnm+stWbIECxcuRExMDMaNGweg/KtwmZmZGDduHCQSCR555BH4+vpi3759+H//7/8hLy8Pjz76qNW+PvzwQ0gkEkyfPh1ZWVlYv349Hn30UXz33XdwdXWtUdxEREREVHt5eXlVip4SiQQ+Pj6W11u3bkV+fj4mTpyIoqIiJCUlYerUqdi2bRv8/f0BAAcPHsT06dPRpk0bzJkzB3q9Hhs2bMCECRPwzTffWNooqFQqjBkzBjqdDuPGjUN4eDhUKhV+/PFH6PV6q3voxMREKBQKzJkzB9evX8f69evx2muv4b333mv8xBAR1RMLtEREDeC9996D0WjExo0b0bZtWwDAyJEjce+99+Ltt9/Ghg0bAABr1qyBRqPBt99+i8jISADA6NGjMWzYMKv9ZWZmYt26dRg6dCg++OADy/IVK1Zg+fLlNYpJrVbjrbfewsiRIwEAY8aMwZAhQ7BlyxZLgXbTpk24evUqPvjgA0tv2PHjx1u2uZ3HH38c06dPx8iRIxETE4NevXohPj4effv2teqJO2LECLzyyito27YtRowYYbWPd999FyaTCdu2bbPc3E+YMAELFizAihUrMH78eKvCq0ajwY4dO+Dh4QEAiIqKwrx587B582ZMmTKlRnETERERUe1V/odzAJDL5VaT6aalpeGnn36CUqkEUNIWYezYsVizZg2ef/55ACX/eO/l5YVNmzbB29sbADB06FCMGjUKy5cvx1tvvQUAeOedd5CZmYnNmzdbtVZ46qmnIAiCVRze3t745JNPIJFIAJR8Gy0pKQk6nQ6enp4NlgMiosbAFgdERPVkMplw4MABDB061FKcBYDAwEA88MADOHLkCPLy8gAAv//+O2JjYy3FWaDkZvJf//qX1T4PHTqE4uJiTJw40Wr5pEmTahyXm5ubVTFULpcjOjoaV69etSz7/fffoVQqcdddd1mWubi4WEa53k7//v3x5ZdfYsiQITh79izWrl2LJ554AgkJCfj5559vu70gCPjpp58wZMgQCIKA7Oxsy8+AAQOg0+lw6tQpq21GjhxpKc4CwL333ouAgADs3bu3RjETERERUd289NJL+PTTT61+KrfQGjp0qKU4CwAxMTHo3r275V5NrVbjzJkzGDVqlKU4CwBdunRBv379LOuZzWbs2bMHgwcPrrbvbVkhtkzZN7LK9O7dGyaTCdevX6/35yYiamwcQUtEVE/Z2dkoLCxE+/btq7zXoUMHmM1m3Lx5E506dcL169cRGxtbZb3KM9/euHGj2uXe3t7w8vKqUVxBQUFVbly9vLxw7tw5y+vr168jNDS0ynq1mYk3JiYGK1asgMFgwNmzZ7Fnzx6sW7cOTz31FLZu3YqOHTva3DY7OxtarRabNm3Cpk2bbK5TUbt27axeSyQStGvXjjffRERERI0sJibmtpOEVb5XA4CwsDDs3LkTQPl9rq175/3796OgoAAFBQXIy8tDp06dahRb69atrV6XzZGg1WprtD0RkZhYoCUiaqZkMpldjyeXyxETE4OYmBiEhYXh+eefx65duzBnzhyb25jNZgDAgw8+iFGjRlW7TkRERKPES0RERETNh1Ra/ReEK7dCICJyRCzQEhHVk6+vL1q1aoVLly5VeS81NRVSqRTBwcEASibVunLlSpX10tLSrF6XjQBIS0uzapuQk5MDjUbTYLGHhITg4sWLEATBahRt5Xhqq1u3bgBKvsJ2K76+vnB3d4fZbEa/fv1qtO/K+RMEAVeuXGEhl4iIiMgBVHeve/nyZYSEhAAov8+1de/s4+MDNzc3uLq6wsPDAxcuXGjcgImIHAB70BIR1ZNMJkP//v3x888/49q1a5blmZmZ2L59O3r16mXpmTpgwAD8/fffOHPmjGW93NxcbNu2zWqf8fHxcHJywsaNG62Wf/755w0a+4ABA6BSqaz6xRYVFWHz5s012v7w4cPVjkoo6x0WHh5uWebm5lblK2YymQzDhg3Djz/+iPPnz1fZT+X2BkDJzMBlPX0BYNeuXcjIyEBCQkKNYiYiIiKixrNnzx6oVCrL6xMnTuD48eOWe7XAwEBERkZi69atVveG58+fx4EDByyT2UqlUgwdOhS//vqr1SRkZTgyloiaE46gJSKqoS1btuD333+vsnzKlCmYN28eDh48iIkTJ2LixImQyWTYtGkTDAYD/vvf/1rWnTZtGr7//ns89thjmDRpEtzc3PDVV18hODgYubm5llGs/v7+mDJlCj755BPMmjULAwcOxLlz57Bv3z74+PhU6RlbVw8//DA2bNiAp59+GlOmTEFAQAC2bdsGFxcXAFUnX6gsMTERhYWFuPvuuxEeHg6j0YijR49i586dCAkJwejRoy3rdu3aFYcOHcKnn36KwMBAtGnTBt27d8fTTz+N5ORkjBs3DmPHjkXHjh2h0Whw6tQpHDp0CH/88YfVMb28vDBx4kSMHj0aWVlZWL9+Pdq1a1fjic2IiIiIqG727duH1NTUKst79uxpuW8MDQ3FhAkTMGHCBBgMBnz22Wfw9vbGtGnTLOs/++yzmD59Oh5++GGMGTMGer0eGzZsgKenp1V7rAULFuDAgQOYPHkyxo0bhw4dOiAjIwO7du3CF198YekzS0TU1LFAS0RUQ5VHs5YZPXo0OnXqhM8//xxLly7FRx99BEEQEBMTg7fffhvdu3e3rBscHIzPPvsMiYmJ+Oijj+Dr64tHHnkErVq1QmJioqUwCgDPPPMMXF1d8dVXX+HQoUOIjY3Fxx9/jIkTJ0IulzfIZ3J3d8f69euRmJiIzz77DG5ubhg5ciR69OiB//znP1bxVOfZZ5/Frl27sHfvXmzatAlGoxGtW7fGxIkT8eSTT1rdND/33HN46aWX8N5770Gv12PUqFHo3r07/P398dVXX+GDDz7A7t27sXHjRnh7e6Njx4545plnqhxz1qxZOHfuHFavXo38/HzEx8fj5ZdfRqtWrRokJ0RERERUvffff7/a5YsWLUKfPn0AACNHjoRUKsX69euRlZWFmJgYvPjiiwgMDLSs369fP6xduxbvv/8+3n//fTg5OSEuLg7//e9/rdp7KZVKbN68GcuWLcO2bduQl5cHpVKJhIQEuLq6Nu6HJSKyI4nA7wUQEYnujTfewKZNm3Ds2LFbTu6l1WoRFxeHefPm4cknn2y0eNatW4dFixZh3759UCqVjXac2khOTsaUKVOwbNky3HvvvWKHQ0REREQVXLt2DXfddReeffZZPPHEE2KHQ0TUpLAHLRGRnen1eqvXOTk5+P7779GrVy+r4mzl9QBg/fr1AGAZodAY8RQVFWHTpk0ICwtzmOIsERERERERUXPFFgdERHb28MMPo0+fPujQoQMyMzOxZcsW5OXl4d///rfVejt27MC3336LhIQEuLm54ejRo9i+fTsGDBiAXr16NVg8c+bMQevWrdGlSxfk5eXh+++/R2pqKv7v//6vwY5BRERERERERNVjgZaIyM4GDRqEH3/8EZs3b4ZEIkFUVBTeeOMNxMXFWa0XEREBmUyGtWvXIj8/H35+fpYJyRrSgAED8PXXX2Pbtm0wmUzo2LEj3n33Xdx3330NehwiIiIiIiIiqoo9aImIiIiIiIiIiIhEwh60RERERERERERERCJhgZaIiIiIiIiIiIhIJCzQEhEREREREREREYmEBVoiIiIiIiIiIiIikbBAS0RERERERERERCQSFmiJiIiIiIiIiIiIRMICLREREREREREREZFIWKAlIiIiIiIiIiIiEgkLtEREREREREREREQi+f+jUBV1OqawtAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Epoch-by-epoch validation results:\n",
            "  Epoch 1: Loss=0.3010, F1=0.8547, Acc=0.8660\n",
            "  Epoch 2: Loss=0.2835, F1=0.8961, Acc=0.8980\n",
            "  Epoch 3: Loss=0.3427, F1=0.8889, Acc=0.8960\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 17: Evaluate DistilBERT on Test Set\n",
        "# ============================================================\n",
        "start = time.time()\n",
        "bert_results = trainer.predict(test_dataset)\n",
        "bert_inference_time = time.time() - start\n",
        "\n",
        "y_pred_bert  = np.argmax(bert_results.predictions, axis=-1)\n",
        "y_test_bert  = test_bert_df['label'].values\n",
        "\n",
        "bert_accuracy  = accuracy_score(y_test_bert, y_pred_bert)\n",
        "bert_precision = precision_score(y_test_bert, y_pred_bert)\n",
        "bert_recall    = recall_score(y_test_bert, y_pred_bert)\n",
        "bert_f1        = f1_score(y_test_bert, y_pred_bert)\n",
        "\n",
        "print(\"=\" * 55)\n",
        "print(\"     DISTILBERT - TEST SET RESULTS\")\n",
        "print(\"=\" * 55)\n",
        "print(f\"  Accuracy:  {bert_accuracy:.4f}\")\n",
        "print(f\"  Precision: {bert_precision:.4f}\")\n",
        "print(f\"  Recall:    {bert_recall:.4f}\")\n",
        "print(f\"  F1-Score:  {bert_f1:.4f}\")\n",
        "print(f\"  Inference time: {bert_inference_time:.2f}s for {len(y_test_bert):,} samples\")\n",
        "print(\"=\" * 55)\n",
        "print(f\"\\n{classification_report(y_test_bert, y_pred_bert, target_names=['Negative', 'Positive'])}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "id": "ke51Yj1C7BVH",
        "outputId": "7b62d467-ea1e-4dcc-d884-c59c5e77cf78"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": []
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "=======================================================\n",
            "     DISTILBERT - TEST SET RESULTS\n",
            "=======================================================\n",
            "  Accuracy:  0.8898\n",
            "  Precision: 0.8547\n",
            "  Recall:    0.9376\n",
            "  F1-Score:  0.8943\n",
            "  Inference time: 10.55s for 5,000 samples\n",
            "=======================================================\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Negative       0.93      0.84      0.88      2515\n",
            "    Positive       0.85      0.94      0.89      2485\n",
            "\n",
            "    accuracy                           0.89      5000\n",
            "   macro avg       0.89      0.89      0.89      5000\n",
            "weighted avg       0.89      0.89      0.89      5000\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 18: Confusion Matrix - DistilBERT\n",
        "# ============================================================\n",
        "fig, ax = plt.subplots(figsize=(7, 6))\n",
        "cm_bert = confusion_matrix(y_test_bert, y_pred_bert)\n",
        "disp = ConfusionMatrixDisplay(cm_bert, display_labels=['Negative', 'Positive'])\n",
        "disp.plot(cmap='Oranges', ax=ax, values_format='d')\n",
        "ax.set_title('DistilBERT - Confusion Matrix', fontsize=14)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "print(f\"\\nTrue Negatives:  {cm_bert[0][0]:,}\")\n",
        "print(f\"False Positives: {cm_bert[0][1]:,}\")\n",
        "print(f\"False Negatives: {cm_bert[1][0]:,}\")\n",
        "print(f\"True Positives:  {cm_bert[1][1]:,}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 657
        },
        "id": "69Zn6zIB7rFy",
        "outputId": "87bc358c-0753-424a-843e-10c925c0527c"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "True Negatives:  2,119\n",
            "False Positives: 396\n",
            "False Negatives: 155\n",
            "True Positives:  2,330\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 19: Model Comparison Summary\n",
        "# ============================================================\n",
        "comparison = pd.DataFrame({\n",
        "    'Metric': ['Accuracy', 'Precision', 'Recall', 'F1-Score',\n",
        "               'Train Time (s)', 'Inference Time (s)', 'Parameters'],\n",
        "    'TF-IDF + LR': [\n",
        "        f\"{lr_accuracy:.4f}\", f\"{lr_precision:.4f}\",\n",
        "        f\"{lr_recall:.4f}\", f\"{lr_f1:.4f}\",\n",
        "        f\"{lr_train_time:.1f}\", f\"{lr_inference_time:.4f}\",\n",
        "        f\"{X_train_tfidf.shape[1]:,} features\"\n",
        "    ],\n",
        "    'DistilBERT': [\n",
        "        f\"{bert_accuracy:.4f}\", f\"{bert_precision:.4f}\",\n",
        "        f\"{bert_recall:.4f}\", f\"{bert_f1:.4f}\",\n",
        "        f\"{bert_train_time:.1f}\", f\"{bert_inference_time:.2f}\",\n",
        "        f\"{trainable_params:,}\"\n",
        "    ]\n",
        "})\n",
        "\n",
        "print(\"\\n\" + \"=\" * 65)\n",
        "print(\"          MODEL COMPARISON SUMMARY\")\n",
        "print(\"=\" * 65)\n",
        "print(comparison.to_string(index=False))\n",
        "print(\"=\" * 65)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-xOdMyk48MOi",
        "outputId": "58b2f468-815a-4bb6-ddaf-2de8a4ebec63"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=================================================================\n",
            "          MODEL COMPARISON SUMMARY\n",
            "=================================================================\n",
            "            Metric     TF-IDF + LR DistilBERT\n",
            "          Accuracy          0.8896     0.8898\n",
            "         Precision          0.8867     0.8547\n",
            "            Recall          0.8934     0.9376\n",
            "          F1-Score          0.8901     0.8943\n",
            "    Train Time (s)            21.3      133.7\n",
            "Inference Time (s)          0.0278      10.55\n",
            "        Parameters 50,000 features 66,955,010\n",
            "=================================================================\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 20: Visual Performance Comparison\n",
        "# ============================================================\n",
        "metrics_names = ['Accuracy', 'Precision', 'Recall', 'F1-Score']\n",
        "lr_scores   = [lr_accuracy, lr_precision, lr_recall, lr_f1]\n",
        "bert_scores = [bert_accuracy, bert_precision, bert_recall, bert_f1]\n",
        "\n",
        "x = np.arange(len(metrics_names))\n",
        "width = 0.35\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "bars1 = ax.bar(x - width/2, lr_scores, width, label='TF-IDF + LR',\n",
        "               color='#3498db', edgecolor='black')\n",
        "bars2 = ax.bar(x + width/2, bert_scores, width, label='DistilBERT',\n",
        "               color='#e67e22', edgecolor='black')\n",
        "\n",
        "for bars in [bars1, bars2]:\n",
        "    for bar in bars:\n",
        "        h = bar.get_height()\n",
        "        ax.text(bar.get_x() + bar.get_width()/2., h + 0.003,\n",
        "                f'{h:.3f}', ha='center', va='bottom',\n",
        "                fontsize=11, fontweight='bold')\n",
        "\n",
        "ax.set_ylim(0.78, 1.02)\n",
        "ax.set_ylabel('Score', fontsize=12)\n",
        "ax.set_title('Model Performance Comparison', fontsize=15)\n",
        "ax.set_xticks(x)\n",
        "ax.set_xticklabels(metrics_names, fontsize=12)\n",
        "ax.legend(fontsize=12)\n",
        "ax.grid(axis='y', alpha=0.3)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 601
        },
        "id": "3mCjOHkD8dtw",
        "outputId": "2a912d1b-7387-46c8-ac53-6e34f7edddbe"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 21: SHAP Analysis - Global Feature Importance\n",
        "# ============================================================\n",
        "print(\"Computing SHAP values for Logistic Regression...\")\n",
        "print(\"(This may take 1-2 minutes)\\n\")\n",
        "\n",
        "background = X_train_tfidf[:100]\n",
        "explainer  = shap.LinearExplainer(lr_model, background)\n",
        "shap_values = explainer.shap_values(X_test_tfidf[:500])\n",
        "\n",
        "# Global importance: mean |SHAP value|\n",
        "mean_shap    = np.abs(shap_values).mean(axis=0)\n",
        "top_shap_idx = np.argsort(mean_shap)[-20:][::-1]\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(10, 7))\n",
        "ax.barh(range(20), mean_shap[top_shap_idx], color='#8e44ad', edgecolor='black')\n",
        "ax.set_yticks(range(20))\n",
        "ax.set_yticklabels(feature_names[top_shap_idx])\n",
        "ax.set_title('Top 20 Features by Mean |SHAP Value|', fontsize=14)\n",
        "ax.set_xlabel('Mean |SHAP Value|')\n",
        "ax.invert_yaxis()\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 753
        },
        "id": "2hSbO0Br9diU",
        "outputId": "bb948e09-159f-4e9c-cdd7-2fae41829454"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Computing SHAP values for Logistic Regression...\n",
            "(This may take 1-2 minutes)\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 22: SHAP Beeswarm Plot\n",
        "# ============================================================\n",
        "shap_display = shap.Explanation(\n",
        "    values=shap_values[:200],\n",
        "    data=X_test_tfidf[:200].toarray(),\n",
        "    feature_names=feature_names\n",
        ")\n",
        "\n",
        "plt.figure(figsize=(10, 8))\n",
        "shap.plots.beeswarm(shap_display, max_display=20, show=False)\n",
        "plt.title('SHAP Beeswarm Plot - Feature Impact on Sentiment', fontsize=13)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 951
        },
        "id": "6ArkWUPq9zRX",
        "outputId": "b47a08d0-93b8-4b60-8382-a11dd2cc8a9a"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x950 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 23: SHAP Local Explanation for a Single Review\n",
        "# ============================================================\n",
        "sample_idx  = 0\n",
        "sample_text = test_df['clean_text'].iloc[sample_idx]\n",
        "sample_true = test_df['label'].iloc[sample_idx]\n",
        "sample_pred = y_pred_lr[sample_idx]\n",
        "\n",
        "print(f\"Review (first 200 chars): {sample_text[:200]}...\")\n",
        "print(f\"True label:  {'Positive' if sample_true else 'Negative'}\")\n",
        "print(f\"Predicted:   {'Positive' if sample_pred else 'Negative'}\\n\")\n",
        "\n",
        "# Get non-zero SHAP values for this sample\n",
        "sample_shap = shap_values[sample_idx]\n",
        "nonzero_idx = np.nonzero(X_test_tfidf[sample_idx].toarray()[0])[0]\n",
        "sample_features  = feature_names[nonzero_idx]\n",
        "sample_shap_vals = sample_shap[nonzero_idx]\n",
        "sort_idx = np.argsort(np.abs(sample_shap_vals))[::-1][:15]\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "colors = ['#27ae60' if v > 0 else '#e74c3c' for v in sample_shap_vals[sort_idx]]\n",
        "ax.barh(range(len(sort_idx)), sample_shap_vals[sort_idx], color=colors, edgecolor='black')\n",
        "ax.set_yticks(range(len(sort_idx)))\n",
        "ax.set_yticklabels(sample_features[sort_idx])\n",
        "ax.set_title('SHAP Values - Single Review Explanation', fontsize=14)\n",
        "ax.set_xlabel('SHAP Value (green = pushes Positive, red = pushes Negative)')\n",
        "ax.invert_yaxis()\n",
        "ax.axvline(x=0, color='black', linewidth=0.8)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 689
        },
        "id": "S14X00wE-ifS",
        "outputId": "f9a365db-3bf5-4b85-8884-3c2899c6f8c4"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Review (first 200 chars): love scifi willing put lot scifi moviestv usually underfunded underappreciated misunderstood tried like really good scifi babylon star trek original silly prosthetics cheap cardboard set stilted dialo...\n",
            "True label:  Negative\n",
            "Predicted:   Negative\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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cOnPv77//rrNnz6py5cr5bv0kXf5yQpLtS4iaNWvKbDbryy+/VFJSktq3b68mTZooJCTE7gPytRR0f+iBAweqXLly19yubt26WrNmjXbv3q3Y2FgdPHhQO3fu1HfffafvvvtOXbt21cyZMwt1Rjs4ODjflwGlS5eWv7+/3UiIQ4cOSVK+M7nS5cKgTp06hbpWNG/egZSUlAKPP+/5PXbsmO6+++7r9iddLrCvvH62Y8eOmjt3rt1zkLfv33//vcB9nzlzRpcuXdLvv/+u0NBQlSpVSl27dtVbb72lzZs3286cbt26VWfOnNGAAQNUuvS1Pybd6D59fX0VEhKiXbt2KScnR6VKldL27dvVtWtX27X1sbGxqlmzpq0Iv/Ka++v5+OOPCz2k3N3dXbNnz1a3bt00bdo0ubm5adasWVcdFl+lSpUCh083atRIK1eu1C+//KLo6Ohr7vPPP//U4sWL9fPPP+vUqVP5Jno8ffp0vn3cc889+frJmyn9yhE9KSkpWrJkib7//nudOHFCWVlZ+foviri4OEkq8IuPO++8U9WqVVN8fLwyMjLsnsfC/i0CKP4osAHgFvPx8dH999+v+++/X9LlybNmz56tDz74QM8++6xatWrlkFsNrVy5UiaTKV+Bff/992vatGlavXq1nnzyyXxFg4eHR5HP6kiXi+hp06bZCvkLFy5ozZo18vLyshvCuWvXLg0cOFCS1KJFCwUHB8vb21smk0kbNmzQoUOHHD67elpamqTLw9CvNWlb3gRFpUuX1ooVK7Rw4UKtX7/edo/cihUr6uGHH9aIESPyXf97pYIK+R49ely3wJYuX/fesGFDW8FrtVq1ceNGTZw4UWvWrFF0dLQ6dOhw3X6uViiVLl1aly5dsj3OO8Pq7+9fYPuAgIDr7kuS7VriTZs2adOmTVdtV9BEUFcze/Zsde7cWRcvXtTvv/+uV155RevWrdO8efP0r3/9K9++rzf8/O/77tatm9566y198cUXtgI7b3j4P//5z+vGdjP7jIyM1IEDB7R//36VLl1aGRkZatq0qapVq6aqVasqNjZW/fr1U2xsrLy8vGxDyW+Vu+66S3Xq1NGuXbt0zz33FPglS56r/R7k/d7k/R5dzR9//KHevXsrIyNDkZGRuvfee+Xj46NSpUpp27Zt2rZtW4F/+wX9Huf9/f399zgtLU29evXSiRMn1LBhQzVv3ly+vr5yc3NTXFycNm7cWOTXlrxjvNpzUblyZcXHx+v8+fN2cRf2bxFA8UeBDQC3ma+vryZPnqzNmzcrMTFRv/76q+rVq1ekPnft2mU7O1jQ7NnS5bNpmzdvLvRZ6RvVtWtXvfrqq7ZCfuPGjUpLS1OPHj3sPly++eabunDhgt5///18t/XKOyNYGCaTSRcvXixwXXp6ut3tdfL2Hx0drfnz5xeq/woVKuj555/Xc889p2PHjunnn3/Wu+++qwULFsjd3f2a9/2WLl+v6igmk0nt27fXoEGDtGjRIv3888+FKrALK+/5SUlJKXB9cnLyDfXz/PPPq3///o4J7v8rXbq0ateurUWLFqlr165688031aFDB9vZzbx9v/nmm7r33nsL1efdd9+tkJAQbdq0Senp6SpdurS++eYb1ahRo1CF7c3sMzIyUkuXLlVsbKzc3d1lMplsZ0MjIyO1adMmnT9/XgcOHFCTJk1u+X2+3377be3atUt+fn620TUPP/xwgW2v9nuQ93tzvQnhli9frrNnz+rVV1/N90Xg5MmTizxb+sqVK3XixAmNHTtWI0eOtFu3ZMmSAu8WcKPyjvFqz0Xe6KJbdRkJAOfHNdgAYACTyXTVe0vfjLyh2K1bt1avXr3y/csbtpnX7lbw8/NThw4dbIX81e59nZCQID8/v3zFtcViuaHbdJUvX16nTp3Kt/z48eP5hlzWrFlTPj4+OnDgwA1f320ymVSzZk09/PDDtsnXvv322xvqw1GuNvFdUeVdS7p79+586ywWS6G/LMi733pB/ThKmTJlNHHiRFmtVr322mu25XkF8Y18SSNdPoudnZ2tdevW6ZtvvlFmZmahzl7f7D4bNWqk0qVL6+eff1ZsbKzuvvtuVaxYUdLlSa9SU1P18ccf39T11zfql19+0ezZs1WjRg2tWbNG1apV06uvvnrVUR4nT54s8BrpHTt2SFK+69CvlJCQIEn5vuSzWq0O+Z25Wv9/j/Hv8s6C//22adcTEhIiSQV+GXDy5En9+eefuuuuu677ZQOAkosCGwBukY8++uiqt5zasGGDjh49qnLlyhX6WtSrOX/+vNauXStvb2/NnTtXL7/8cr5/c+fOVWBgoL7//vsCr992lLxiesmSJdqyZYuCg4PzFdJVq1bV2bNn7T7E5+bm6pVXXrFdC10Y9erVU2Jiot0H3QsXLtiGc/9d6dKl9dBDDykxMVGvvPJKgUX2r7/+ajsTd/z48QJvTZV31upWnVXct2+fPv/88wJv85Oammq7T/LfZ892hKpVq6phw4aKi4vT//73P7t1S5cutQ2xv56wsDDVr19fX331Vb5+pMvDeR1xT+f27dvrnnvu0ZYtW2yFU/v27XXnnXfq7bff1vbt2/Ntk5OTU2CR1aVLF7m5uemLL77Q6tWrZTKZCl1g38w+y5Ytq3r16mn37t3asWOHmjZtaluX9/+YmBhJN3799Y3IzMzUU089JenyMPzKlSvrtdde08WLF/XUU08V+DuYm5ur2bNny2q12pYdOnRIq1evVsWKFRUVFXXNfeZdW71z50675UuWLHHIraqu1v+aNWsKnICtXLlyMplMSkpKKvQ+2rdvL19fX61atcruNcxqtWrWrFm6ePFigTOwA3AdDBEHgFvk+++/1wsvvKDq1aurYcOGqly5sjIzMxUXF6cdO3aoVKlSeuGFF4pcrP3vf/9TZmamevTocdVhiaVKlVL37t315ptv6rPPPtOwYcOKtM+radasmapWrWo7o5c30+/f9e/fXz/++KP69eun+++/Xx4eHtq2bZtOnTqlJk2aFLoAe/TRR7VlyxYNGzZMnTt3lpeXl7Zs2aJy5coVOEHcmDFj9Msvv+jdd9/V5s2b1ahRI/n7++vUqVP69ddfdejQIX388cfy9/fXoUOHNGrUKIWFhalmzZqqVKmSTp06pQ0bNqhUqVIaNGhQUZ6mqzp9+rSefvppTZ06VY0bN9Y//vEPubm56cSJE/ruu++UmZmpNm3aqGPHjg7f9/PPP6+HH35Y48eP1/r161W9enUdPHhQe/fuVePGjbV9+/ZCTfD22muvaeDAgXryySe1YsUK1a1bV56enjpx4oT27Nmj1NRUh1zzP2rUKI0YMULz5s3Tu+++Kw8PD82bN09Dhw5V//791bRpU919990ymUw6ceKEduzYIT8/v3z3hK9UqZKaNWumLVu2qFSpUoqIiFC1atUKFcPN7jMyMtL2N/L3IvqOO+5QcHCw4uPj5e3trdDQ0Bt+Xq51m6769eurdevWkqSXX35Zv//+u55++mnbmefw8HA98cQTmjdvnl599VU9//zzdtubzWbt2rVLDzzwgJo3b67U1FStXbtWubm5eumll657x4G+fftq1apVGjNmjO6//375+flpz549+uWXX9SmTZtrXrdfGN26dVNMTIymTZum2NhY3XnnnTp8+LC2bt2q++67T19//bVd+7Jlyyo0NFTbt2/XhAkTVL16dZUqVUrdunW76r2wfXx89NJLL2ncuHHq06eP7r//flWsWFE//fSTDh48qLCwMD322GNFOg4AxRsFNgDcIuPHj1fDhg31008/afv27bYzx3fccYd69Oih/v37F/naa+n/bo11vbMmPXr00JtvvqlPP/30lhXYJpNJPXv21IIFC+Tm5qbu3bvna3Pvvfdq/vz5Wrx4sb744gt5enqqadOmWrRoUb57Tl9Ly5YtNXfuXC1atEirV6+Wn5+fOnbsqCeffDLfraaky8VQTEyMVq5cqc8//1xff/21Lly4oICAANWsWVN9+/a1jSaoV6+ehg4dqm3btmnz5s06d+6cKlWqpObNm2vIkCGFnqX5RjVt2lQzZ87Ujz/+qF9++UW7du1SZmamypUrp/r169vuT1zYmcxvRN26dfXBBx9o1qxZ+v7772UymRQREaEPPvhAs2fPlnT9a2yly5NmffbZZ3r77be1ceNGrVq1SqVKlVLlypXVqFEjh3050LZtW9WrV0/btm3T1q1b1axZM4WFhemLL77QW2+9pe+//167du2y3Rauffv2dpPt/V23bt30448/Kjc3t9Bnr/PczD4jIyO1ePFiubm55RsGHhkZqfj4eDVs2PC6s5gX5FqXgTzyyCNq3bq11q9fr5UrV6pFixZ69NFH7do8/vjj+umnn/Tee++pZcuWdteWly9fXkuWLNErr7yiTz75RBaLRXXr1tXo0aPVokWL68ZWt25dLV26VHPnztXXX38tNzc3NWjQQB9++KG+/fbbIhfYgYGBeu+99zRz5kxt3bpVFy9e1D333KNly5bp5MmT+QpsSXr11Vc1ffp023X4VqtVERERVy2wpcsTR1aqVEmLFy/WN998I4vFoqpVq2rkyJEaOnSo7V7jAFyTyfr3cT4AAAB/k5ubqw4dOigrK0s//fST0eHAIGazWU2aNNG7775rdCgA4NS4BhsAAOjixYsFXgO/ZMkSJSYm2m5jBQAAro4h4gAAQJmZmWrdurXt3uQXL17U3r17tX//flWqVEmjRo0yOkQAAJweBTYAAJCnp6d69eqln3/+Wdu3b9eFCxdUqVIlPfjgg3riiSdUuXJlo0MEAMDpcQ02AAAAAAAOwDXYAAAAAAA4AEPEi6Hdu3fLarXK3d3d6FAAAAAAoETLycmRyWRSgwYNrtuWM9jFkNVqFSP7jWW1WnXhwgXyYDDy4BzIg/HIgXMgD87h0qVL+uOPP3Tp0iWjQ3FZ/C04B/LgODdSf3EGuxjKO3MdGhpqcCSuKzMzU3FxcapVq5a8vb2NDsdlkQfnQB6MRw6cA3lwDklJSQoPD9fJkycVGBhodDguib8F50AeHGf//v2FbssZbAAAAAAAHIACGwAAAAAAB6DABgAAAADAASiwAQAAAABwAApsAAAAAAAcgAIbAAAAAAAHoMAGAAAAAMABKLABAAAAAHAACmwAAAAAAByAAhsAAAAAAAegwAYAAAAAwAEosAEAAAAAcAAKbAAAAAAAHIACGwAAAAAAB6DABgAAAADAASiwAQAAAABwAApsAAAAAAAcgAIbAAAAAAAHoMAGAAAAAMABKLABAAAAAHCA0kYHgJInISFBycnJRodxS1ksFsXHxysrK0teXl5Gh+OyyINzIA/GIwfOgTw4h5L+GQSAc6PAhkMlJCQoxGxWZlaW0aEAAAAXlpiYqMDAQKPDAOBiKLDhUMnJycrMytLC8LtV29fb6HAAAICL2ZeWrgn7jyolJcXoUAC4IAps3BK1fb0VVt7H6DAAAICLOX8x1+gQALgwJjkDAAAAAMABKLABAAAAAHAACmwAAAAAAByAAhsAAAAAAAegwHawAQMGaPjw4UaHAQAAAAC4zSiwAQAAAABwAApsB8nKyjI6BAAAAACAgUpMgT1p0iR16dJFmzdvVpcuXRQaGqqePXtqz549tjaXLl3S66+/rrZt26pevXrq2LGjPvroo3x9bd++XX379lVYWJgiIyP1zDPPKC0tzbb++PHjMpvNWrVqlZ577jlFRkaqd+/e+fo5fPiwzGaztmzZYrc8NzdXrVq10quvvuqw4wcAAAAAGKu00QE40pkzZzRlyhSNHj1a5cqVU0xMjIYMGaKvv/5a/v7+evXVV/XOO+9oxIgRatCggTZt2qQXXnhBFy9eVP/+/SVJBw4c0KOPPqrIyEjNmzdPycnJeu211/Tbb7/po48+kpubm21/s2fPVlRUlF577TVdunQpXzxms1n169fXp59+qhYtWtiW//DDDzp9+rQeeOCBmz5Wq9WqzMzMm97+VrFYLEaHAAAAoOzsbKf8rOQK8j4P8rnQWOTBcaxWq0wmU6HalqgCOy0tTXPnzlWzZs0kSU2aNFFUVJSWL1+uRx99VO+9956GDBmi0aNHS5Jatmypv/76S4sWLdJDDz0kNzc3vfnmm6pUqZLefPNNubu7S5KqVKmiIUOGaPPmzWrbtq1tf3Xq1NHLL798zZh69+6tl156SWfPnlX58uUlSZ9++qkaNGigmjVr3vSx5uTkKC4u7qa3v1Xi4+ONDgEAAEBJSUlO+VnJlfC50DmQB8fw8PAoVLsSVWD7+vraiuu8x82bN9fevXu1b98+5eTkqGPHjnbb3H///fryyy8VHx+vmjVraseOHerSpYutuJYuF+LlypXTzp077QrsNm3aXDemzp07a/r06fryyy/18MMPKzU1Vd99951efPHFIh2ru7u7atWqVaQ+bgWuRQcAAM4gMDBQISEhRofhkiwWi+Lj4xUcHCwvLy+jw3FZ5MFxfvvtt0K3LVEFdsWKFfMt8/f319GjR3X27FlJUkBAgN36vMd511ifO3dO/v7+BfaT18ffl12Pt7e3unTpopUrV+rhhx/WF198IXd3d91///2FOqarMZlM8vb2LlIftwJ/vAAAwBmUKVPGKT8ruRIvLy9y4ATIQ9EVdni4VIImOZOk1NTUfMtSUlJUqVIl+fn52R7/XXJysiTZ1pcvXz5fm7zt8oZ45ynsE927d2/98ssvOnTokFatWqX7779fZcuWLdS2AAAAAIDioUQV2Onp6dq6davd459++kn169dXaGio3N3dtW7dOrtt1q5dK39/fwUHB0uSIiIitHHjRl28eNHWZsuWLTp37pwiIiJuKq7Q0FCFhIRo2rRpOnz4cJEmNwMAAAAAOKcSNUTcz89Pzz77rMaMGSNfX1/FxMTIarVq4MCBqlixovr376+lS5fKw8ND4eHh2rx5s7788ks9//zzttnBH3/8cfXt21fDhw/XgAEDbLOIh4WFKSoq6qZj6927t6ZOnaoaNWrcdKEOAAAAAHBeJarArlSpksaPH69XX31VCQkJql27tpYuXWq7znrixIny9fXVypUr9eabb6pq1aqaMmWK+vbta+ujXr16WrZsmWbPnq3Ro0fL29tbbdu21dNPP213i64b1aFDB02dOpWz1wAAAABQQpWoAlu6PLP31Wb3LlWqlJ544gk98cQT1+yjSZMm+uijj666vlq1ajp8+HCB6959990Cl3///fcqXbq0unfvfs19AwAAAACKpxJXYDub48eP648//tDrr7+u+++/X5UqVTI6JAAAAADALUCBfYstXLhQX375pRo0aKBJkyYZHQ4AAAAA4BYpMQX2jBkzjA6hQDNmzHDa2AAAAAAAjlNiCmw4lyPpmUaHAAAAXNDRDD6DADAOBTYcKiAgQN6enhq151ejQwEAAC7M39/f6BAAuCAKbDhUUFCQ4g4fVnJystGh3FIWi0Xx8fEKDg6Wl5eX0eG4LPLgHMiD8ciBcyAPziE5OVnR0dGqWrWq0aEAcEEU2HC4oKAgBQUFGR3GLZWZmSlPT0+FhITI29vb6HBcFnlwDuTBeOTAOZAH55CUlGR0CABcWCmjAwAAAAAAoCSgwAYAAAAAwAEYIo5iISEhwamu6867zi4rK4vr7AxEHpwDeTAeOXAO5ME5ONPnBQCuhwIbTi8hIUEhZrMys7KMDgUAABQTiYmJCgwMNDoMAC6GAhtOLzk5WZlZWVoYfrdq+zJpDAAAuLp9aemasP+oUlJSjA4FgAuiwEaxUdvXW2HlfYwOAwAAOLHzF3ONDgGAC2OSMwAAAAAAHIACGwAAAAAAB6DABgAAAADAASiwAQAAAABwAArsG3Tu3DmZzWatWrWq0NvExsbKbDZr//79tmVms1lLly69FSECAAAAAAxAgQ0AAAAAgANQYAMAAAAA4AAU2Nfx3//+V23btlX9+vU1cOBA/fHHH3brCxrqvXz5cpnN5tsZJgAAAADAYKWNDsCZfffdd3r++efVs2dPderUSQcPHtTYsWONDkuSZLValZmZaXQYt4XFYjE6BAAAUMxkZ2e7zGclZ5P32Y3PcMYiD45jtVplMpkK1ZYC+xreeOMNNWrUSNOnT5cktWrVStnZ2Xr99dcNjkzKyclRXFyc0WHcFvHx8UaHAAAAipmkpCSX+azkrPgM5xzIg2N4eHgUqh0F9lXk5ubq4MGDmjBhgt3y6Ohopyiw3d3dVatWLaPDuC2ysrKMDgEAABQzgYGBCgkJMToMl2SxWBQfH6/g4GB5eXkZHY7LIg+O89tvvxW6LQX2VaSmpurixYuqWLGi3fKAgACDIrJnMpnk7e1tdBi3BS8IAADgRpUpU8ZlPis5Ky8vL3LgBMhD0RV2eLjEJGdXVbFiRZUuXVqpqal2y5OTk+0ee3h4KCcnx27ZuXPnbnl8AAAAAADnQoF9FW5ubqpbt66++eYbu+Xr16+3exwYGKijR4/aLfvpp59ueXwAAAAAAOfCEPFrePzxxzVy5Eg988wztlnEV69ebdcmOjpaK1asUGhoqGrUqKEvvvhCp06dMihiAAAAAIBROIN9De3atdOUKVO0detWPfHEE9qyZYvmzp1r12bkyJHq0qWLFi1apAkTJujOO+/UI488YkzAAAAAAADDcAb7Ovr27au+ffvaLTt8+LDt/97e3rbbeP3do48+avt/ZGSk3TZX9gEAAAAAKP44gw0AAAAAgANQYAMAAAAA4AAU2AAAAAAAOADXYKPYOJKeaXQIAADAyR3N4PMCAONQYMPpBQQEyNvTU6P2/Gp0KAAAoJjw9/c3OgQALogCG04vKChIcYcPKzk52ehQbCwWi+Lj4xUcHCwvLy+jw3FZ5ME5kAfjkQPnQB6cQ3JysqKjo1W1alWjQwHggiiwUSwEBQUpKCjI6DBsMjMz5enpqZCQEHl7exsdjssiD86BPBiPHDgH8uAckpKSjA4BgAtjkjMAAAAAAByAAhsAAAAAAAdgiDhwCyQkJDjVNeMlVd71jllZWVzvaCDyYDxy4BzIg3Pg/ReAkSiwAQdLSEhQiNmszKwso0MBAMBlJSYmKjAw0OgwALgYCmzAwZKTk5WZlaWF4Xerti+T3AAAcDvtS0vXhP1HlZKSYnQoAFwQBTZwi9T29VZYeR+jwwAAwKWcv5hrdAgAXBiTnAEAAAAA4AAU2AAAAAAAOAAFNgAAAAAADkCBDQAAAACAA7hUgX38+HGZzWatW7fO6FAAAAAAACWMSxXYAAAAAADcKhTYAAAAAAA4QIkssHfv3q3BgwerYcOGatCggXr37q0tW7bY1mdnZ2vq1Klq3LixWrZsqVdeeUUXL1606+Po0aMaMWKEIiIiFB4ermHDhikhIcGuzbJly/TAAw8oIiJCzZo10/Dhw/X777/btZk0aZK6dOmizZs3q0uXLgoNDVXPnj21Z8+eW3b8AAAAAIDbr7TRATjazp07NXDgQIWHh2vatGkqV66cDhw4oBMnTqh69eqSpLlz56pdu3aaO3eudu/erQULFigoKEgPPfSQJOnPP/9U3759Vbt2bc2YMUMmk0lvvvmmBg0apHXr1snDw0OSlJSUpP79++vOO+9URkaGPvroI/Xt21fr16+Xn5+fLaYzZ85oypQpGj16tMqVK6eYmBgNGTJEX3/9tfz9/W/qOK1WqzIzM4v2ZOGmWSwWu58FrQMAAMbJzs7ms5JBrvU5CbcPeXAcq9Uqk8lUqLYlrsCeOXOmqlevrhUrVsjNzU2S1LJlS0mXJzmTpLCwMD333HOSpBYtWig2Nlbr16+3FdgLFy5U+fLl9fbbb6tMmTKSpIYNG6pdu3b65JNP9PDDD0uS/v3vf9v2m5ubqxYtWqhZs2Zav369HnzwQdu6tLQ0zZ07V82aNZMkNWnSRFFRUVq+fLnGjRt3U8eZk5OjuLi4m9oWjhMfH1+oZQAA4PZKSkris5LB+EzkHMiDY+SdZL2eElVgWywW7d27V0899ZStuC5IXsGdp2bNmvr5559tj7ds2aJOnTrJzc3NNnS8XLlyqlu3rg4cOGBrt2fPHs2bN0+//PKL0tLSbMuv/CX29fW1Fdd5j5s3b669e/fezGFKktzd3VWrVq2b3h5FY7FYFB8fr+DgYHl5edmty8rKMigqAACQJzAwUCEhIUaH4ZKu9TkJtw95cJzffvut0G1LVIF97tw5Xbp0SZUrV75mO19fX7vH7u7uunDhgu3xX3/9pRUrVmjFihX5tnV3d5cknThxQoMHD1a9evU0ZcoUVa5cWe7u7ho+fLiys7PttqlYsWK+fvz9/XX06NFCH9uVTCaTvL29b3p7OIaXl1e+PPACBgCA8cqUKcNnJYMV9DkJtx95KLrCDg+XSliB7evrq1KlSun06dNF6qd8+fKKiopSv3798q0rW7asJOmHH35QZmamFi5cqHLlykmSLl68qLNnz+bbJjU1Nd+ylJQUVapUqUhxAgAAAACcR4kqsL29vRUeHq7Vq1dr8ODB1xwmfi3NmjXTkSNHVLdu3av2kZWVJZPJpNKl/+8pXLt2bb7ZyCUpPT1dW7dutQ0TT09P108//WS7lhsAAAAAUPyVqAJbksaNG6dBgwZp0KBB6tevn8qXL6+DBw+qQoUKatq0aaH6GDNmjHr16qUhQ4aoT58+CggIUHJysrZt26ZGjRqpS5cutr6eeeYZ9e3bV0eOHNHbb79tO5v9d35+fnr22Wc1ZswY+fr6KiYmRlarVQMHDnTosQMAAAAAjFPi7oPdqFEjvfPOOzKZTHrmmWc0atQobdiwQVWrVi10H9WrV9cnn3wiPz8/TZkyRUOGDNGsWbNksVhkNpslSWazWdOnT9fBgwc1fPhwffXVV5o3b16+67slqVKlSpo8ebKWLFmisWPHKjs7W0uXLlVAQIDDjhsAAAAAYKwSdwZbunxLrXfeeafAdYcPH8637Nlnn9Wzzz5rtyw4OFhz58695n66d++u7t272y379ttvC2zbpk0btWnT5pr9AQAAAACKrxJ3BhsAAAAAACNQYAMAAAAA4AAlcoi4M5kxY4bRIQAAAAAAbgMKbOAWOZKeaXQIAAC4nKMZvP8CMA4FNuBgAQEB8vb01Kg9vxodCgAALsvf39/oEAC4IApswMGCgoIUd/iwkpOTjQ6lxLNYLIqPj1dwcLC8vLyMDsdlkQfjkQPnQB6cQ3JysqKjo2/oFq0A4CgU2MAtEBQUpKCgIKPDKPEyMzPl6empkJAQeXt7Gx2OyyIPxiMHzoE8OIekpCSjQwDgwphFHAAAAAAAB6DABgAAAADAARgiDgBFlJCQ4NLX3Oddd5qVlcV1pwYhB86BPDgHV349BmA8CmwAKIKEhASFmM3KzMoyOhQAwN8kJiYqMDDQ6DAAuBgKbAAoguTkZGVmZWlh+N2q7cukRgBgtH1p6Zqw/6hSUlKMDgWAC6LABgAHqO3rrbDyPkaHAQAu7/zFXKNDAODCmOQMAAAAAAAHoMAGAAAAAMABKLABAAAAAHAACmwAAAAAABygWBTY3bp106RJk2yPJ02apC5dutxQH8uXL9fmzZtvav8LFixQgwYNrttuwIABGj58+E3tAwAAAABQvBXLWcRHjhypzMzMG9rmnXfeUZs2bRQVFXWLogIAAAAAuLJbXmBfuHBBpUuXVqlSjjtZHhQU5LC+AAAAAABwhBuqevOGZm/evFldunRRaGioevbsqT179tjatG3bVlOnTlVMTIzuvfdehYWFKS0tTZK0atUqde3aVaGhoWrVqpXmzJmj3Fz7exXu2rVLPXv2VGhoqG1fV4vj706dOqWJEyeqefPmCgsLU8eOHbVixQpbTImJiXr//fdlNptlNpu1atUqSdLnn3+uhx56SE2aNFHjxo01YMAA7du3r8Dj37dvn3r16qXQ0FDdf//9+u677677nB09elQjRoxQRESEwsPDNWzYMCUkJFx3OwAAAABA8XLDZ7DPnDmjKVOmaPTo0SpXrpxiYmI0ZMgQff311/L395ckff3116pevbqeffZZlSpVSt7e3nr77bc1c+ZMDRw4UJMmTdLRo0dtBfb48eNtfQ8ZMkRms1lz587VuXPnNGXKFGVmZiokJOSqMf3111968MEHJUlPPvmkqlWrpj/++MNWyC5cuFDDhg1Tw4YNNXjwYEn/dxb8+PHj6t69u4KCgnThwgV99dVXevjhh/XFF1+oRo0atn3k5OToySef1ODBg1WtWjV9+OGHGjVqlFatWiWz2VxgXH/++af69u2r2rVra8aMGTKZTHrzzTc1aNAgrVu3Th4eHjf69NtYrdYbHiYPx7FYLHY/YQxnyAO/AwDgnLKzs/msZBBneH8GeXAkq9Uqk8lUqLY3XGCnpaVp7ty5atasmSSpSZMmioqK0vLlyzVu3DhJl4vRmJgYeXt7S5IyMjI0f/58PfbYY3rqqackSS1atJC7u7tmzJihIUOGqEKFClqxYoVMJpNiYmLk6+srSQoMDNSgQYOuGdPy5cuVkpKitWvXqlq1apJki0+S6tatKw8PDwUEBCg8PNxu21GjRtn+f+nSJbVo0UL79u3TZ599Zos175hGjBihXr16SZJatmyp++67T4sXL9bs2bMLjGvhwoUqX7683n77bZUpU0aS1LBhQ7Vr106ffPKJHn744Wse17Xk5OQoLi7upreHY8THxxsdAmRsHvgdAADnlJSUxGclg/Ee6RzIg2MU9uToDRfYvr6+dsWrr6+vmjdvrr1799qWRUZG2oprSdq9e7cyMzPVsWNHXbx40ba8efPmysrK0pEjR9SkSRPt3btXkZGRtuJaulwo+/n5XTOmrVu3qmnTprbi+kYcPXpUs2fP1u7du5WSkmJbXtAvYocOHWz/d3NzU/v27bVhw4ar9r1lyxZ16tRJbm5utuMuV66c6tatqwMHDtxwrH/n7u6uWrVqFakP3DyLxaL4+HgFBwfLy8vL6HBcljPkISsry5D9AgCuLTAw8JojIHHrOMP7M8iDI/3222+FbnvDBXbFihXzLfP399fRo0ftHv/dX3/9JUnq0aNHgX2ePHlS0uUh4tWrVy/UPv8uLS1NtWvXvnbgBcjIyNDgwYNVsWJFTZo0SXfeeafKlCmj5557TtnZ2XZt3d3dVb58ebtl/v7+OnPmzFX7/+uvv7RixQrbteBX9lcUJpPJ7ksMGMPLy4s8OAEj88AbFgA4pzJlyvAebTA+JzkH8lB0hR0eLt1EgZ2amppvWUpKiipVqnTVAPIK04ULFyowMDDf9nlnnitVqmR3Fvla+/w7Pz8/nT59+vrBX2HPnj1KSkrS4sWLVadOHdvy9PT0fHHm5OTo7NmzdkX2lcd9pfLlyysqKkr9+vXLt65s2bI3HC8AAAAAwHndcIGdnp6urVu32oaJp6en66effrrm9cQNGjSQl5eXkpKS7IZZXyksLEwffvih0tPTbcPEt27dapuF/GqaNWumZcuW6cSJE7rzzjsLbOPu7p7vrHTe0M6/n03etWuXEhMTCzwj/s0339iuwc7NzdWGDRtUv379a8Z15MgR1a1bV25ubtc8BgAAAABA8XbDBbafn5+effZZjRkzRr6+voqJiZHVatXAgQOvuk25cuU0ZswYzZw5U0lJSWrSpInc3Nz0559/auPGjVqwYIG8vLw0cOBAffDBBxo6dKiGDh2qc+fOacGCBde9BnvQoEFavXq1+vfvrxEjRuiuu+7Sn3/+qfj4eE2YMEGS9I9//EM///yztmzZonLlyqlatWoKDw+Xt7e3pkyZomHDhunUqVNasGCB7rjjjnz7cHd31xtvvKHs7GzbLOJJSUlatGjRVeMaM2aMevXqpSFDhqhPnz4KCAhQcnKytm3bpkaNGuW71RgAAAAAoPi6oftgS5eHcU+ePFlLlizR2LFjlZ2draVLlyogIOCa2w0ePFjTp09XbGysxowZo7Fjx+q///2vQkNDbWeQK1eurJiYGGVlZWns2LGKiYnR5MmTCxxW/ncVKlTQhx9+qIYNG2rWrFkaNmyYli1bZrfdU089pcDAQI0ePVq9evXSd999p4CAAM2bN0+pqakaOXKkVqxYoSlTphR4Hbi7u7tmz56tTz/9VE888YTi4+M1f/58u6HlV6pevbo++eQT+fn5acqUKRoyZIhmzZoli8Vy1Vt7AQAAAACKJ5PVarUWtvGkSZN04MABffnll7cyJlzH/v37JUmhoaEGR+K6MjMzFRcXp5CQECaNMJAz5GHXrl2KiIjQ+lbhCivvY0gMAID/szXlrHpu3a/169frvvvuMzocl+QM788gD450I/XXDZ/BBgAAAAAA+VFgAwAAAADgADc0ydmMGTNuVRwAAAAAABRrNzyLOAAgvyPpmUaHAACQdDSD12MAxqHABoAiCAgIkLenp0bt+dXoUAAAf+Pv7290CABcEAU2ABRBUFCQ4g4fVnJystGhGMZisSg+Pl7BwcHy8vIyOhyXRA6cA3lwDsnJyYqOjlbVqlWNDgWAC6LABoAiCgoKUlBQkNFhGCYzM1Oenp7cBsRA5MA5kAfnkJSUZHQIAFwYs4gDAAAAAOAAFNgAAAAAADgAQ8QBwMklJCQ49TXeededZmVlcd2pQciBcyAPzsGZXy8BlHwU2ADgxBISEhRiNiszK8voUACgWElMTFRgYKDRYQBwMRTYAODEkpOTlZmVpYXhd6u2L5MmAcD17EtL14T9R5WSkmJ0KABcEAU2ABQDtX29FVbex+gwAMDpnb+Ya3QIAFwYk5wBAAAAAOAAFNgAAAAAADgABTYAAAAAAA5AgQ0AAAAAgANQYBdSt27dNGnSJKPDAAAAAAA4KQpsAAAAAAAcgAIbAAAAAAAHcMoCe8eOHTKbzUpISLAte/zxx2U2m3XkyBHbsqeeekrDhg2TJKWlpemZZ55RZGSkwsLC1LdvX23fvj1f3x999JGio6NVr149tW3bVq+//rouXbpk12bXrl3q2bOnQkND1aVLF23evLnAOHfv3q1HHnlE4eHhioiI0Lhx45SSkmJbf/z4cZnNZq1evVpTp05V48aN1bJlS73yyiu6ePFikZ4jAAAAAIBzKW10AAUJCwtTmTJltH37dgUFBenSpUvauXOnbVnt2rUlSdu3b9eAAQOUm5uroUOH6s8//9T48eMVEBCgd999V48++qg++ugj1atXT5L07rvvatq0aRowYIDatGmj3bt3a+HChUpPT9fTTz8tSTpz5oyGDBkis9msuXPn6ty5c5oyZYoyMzMVEhJii3H37t0aMGCAoqKiNGfOHFksFs2dO1cjR47Uxx9/bHc8c+fOVbt27TR37lzt3r1bCxYsUFBQkB566KGbfo6sVqsyMzNvensUjcVisfsJY7hCHkrysQHArZSdnc1nJYO4wvtzcUAeHMdqtcpkMhWqrVMW2B4eHgoLC9OOHTv0wAMP6PDhw7JYLOrZs6e2b9+ufv366Y8//tDp06fVuHFjbdq0Sfv27dNbb72lVq1aSZJatmyp++67T4sXL9aCBQuUm5urRYsWqXPnznruuedsbXJycrRs2TINGzZMFSpU0IoVK2QymRQTEyNfX19JUmBgoAYNGmQX42uvvaZ69epp4cKFtif77rvvtp3xjoqKsrUNCwuz7bNFixaKjY3V+vXri1Rg5+TkKC4u7qa3h2PEx8cbHQJUsvNQko8NAG6lpKQkPisZjPcw50AeHMPDw6NQ7ZyywJakRo0a6csvv5R0+Ux1vXr11Lp1a7344ou2ZV5eXqpXr55mz54tHx8fW3EtSe7u7urQoYOtj2PHjumvv/5Sx44d7fbTqVMnLV68WPv27VNUVJT27t2ryMhIW3EtSc2aNZOfn5/tscVi0a5duzRx4kTl5ubalgcHB6tKlSrav3+/XYHdsmVLu33WrFlTP//8c5GeH3d3d9WqVatIfeDmWSwWxcfHKzg4WF5eXkaH47JcIQ9ZWVlGhwAAxVJgYKDd6EPcPq7w/lwckAfH+e233wrd1mkL7CZNmuiNN97QqVOntGPHDjVq1EiNGjVScnKy4uPjtWPHDtWvX1/u7u46d+6c/P398/UREBCgs2fPSpLt55Xt8h7nrT9z5oyqV6+er6+KFSva/n/u3Dnl5uZq+vTpmj59er62J0+etHv892JdulwcX7hw4brPwbWYTCZ5e3sXqQ8UnZeXF3lwAiU5D7whAsDNKVOmTIl9byguSvL7c3FCHoqusMPDJScusMPDw+Xu7q7t27fbhor7+fmpdu3a2r59u7Zv367u3btLksqXL283uVie5ORklS9fXpJsZ6BTU1Pt2uRtl9euUqVKBfb19+18fX1lMpk0fPhwtW/fPl/bChUq3PgBAwAAAACKNaecRVySvL29VbduXX388cdKS0tTRESEJKlx48b64osvdPz4cTVq1EiSFBERoYyMDP3444+27S9evKgNGzbYtqtRo4YqVqyodevW2e1n7dq1cnd3V1hYmKTL10vHxsYqPT3d1mbr1q1KS0uziy08PFzHjh1TaGhovn/VqlW7Jc8JAAAAAMB5Oe0ZbOnyddhLly7VPffcIx8fH9uy999/X+7u7mrQoIEkqU2bNgoLC9OECRM0btw42yzip0+f1vz58yVJbm5uGjlypKZNm6aKFSsqKipKe/bsUUxMjAYOHGg76zxw4EB98MEHGjp0qIYOHapz585pwYIFdtdgS9LEiRM1cOBA/etf/1Lnzp1Vrlw5JSUl6aefflLPnj0VGRl5+54oAAAAAIDhnPYMtnT5OmxJtjPV0uUz2JJUr149eXp6SrpcPC9ZskRt2rTRzJkzNXr0aJ0/f17Lli2z3aJLkgYMGKAXX3xR33//vR5//HF9+umnGjVqlCZMmGBrU7lyZcXExCgrK0tjx45VTEyMJk+erMDAQLvYGjZsqA8++ECZmZl65plnNGzYML3++uvy9PQs8BpuAAAAAEDJZrJarVajg8CN2b9/vyQpNDTU4EhcV2ZmpuLi4hQSEsKkEQZyhTzs2rVLERERWt8qXGHlfYwOBwCc3taUs+q5db/Wr1+v++67z+hwXJIrvD8XB+TBcW6k/nLqM9gAAAAAABQXFNgAAAAAADgABTYAAAAAAA7g1LOIAwAuO5KeaXQIAFAsHM3g9RKAcSiwAcCJBQQEyNvTU6P2/Gp0KABQrPj7+xsdAgAXRIENAE4sKChIcYcPKzk52ehQrspisSg+Pl7BwcHy8vIyOhyXRA6cA3lwDsnJyYqOjlbVqlWNDgWAC6LABgAnFxQUpKCgIKPDuKrMzEx5enpyGxADkQPnQB6cQ1JSktEhAHBhTHIGAAAAAIADUGADAAAAAOAADBEHABRbCQkJTn19+u2Sd+1vVlYW1/4aiDw4B14TABiJAhsAUCwlJCQoxGxWZlaW0aEAcEKJiYkKDAw0OgwALoYCGwBQLCUnJyszK0sLw+9WbV8mlAJw2b60dE3Yf1QpKSlGhwLABVFgAwCKtdq+3gor72N0GACcxPmLuUaHAMCFMckZAAAAAAAOQIENAAAAAIADUGADAAAAAOAAFNgAAAAAADgABfYNmjRpkrp06WJ7vGrVKpnNZqWmpkqSjh8/LrPZrHXr1hkVIgAAAADAAMwifoNGjhypzMxMo8MAAAAAADgZCuwbFBQUZHQIAAAAAAAnxBDxAhw5ckRDhw5VZGSk6tevr+joaMXExEjKP0T8embMmKE2bdro0qVLdss3b94ss9ms3377zaGxAwAAAACMwRnsAjz++OMKCAjQyy+/LB8fHyUkJCgpKemm+urdu7fefvttbdmyRa1atbIt//TTTxUeHq5atWrdVL9Wq5Wh6gayWCx2P2EM8uAcjMoDeQdwLdnZ2XxWMgjvz86BPDiO1WqVyWQqVFsK7Cukpqbq+PHjevbZZ9W2bVtJUtOmTW+6v5o1ayoiIkKffvqprcD+66+/9O2332ry5Mk33W9OTo7i4uJuens4Rnx8vNEhQOTBWdzuPJB3ANeSlJTEZyWD8TrtHMiDY3h4eBSqHQX2FSpUqKCqVatq9uzZOnv2rJo1a6bAwMAi9dmnTx89//zzSktLk5+fn9asWSN3d3d16tTppvt0d3e/6bPfKDqLxaL4+HgFBwfLy8vL6HBcFnlwDkblISsr67btC0DxExgYqJCQEKPDcEm8PzsH8uA4N3JZLwX2FUwmk5YuXao5c+Zo6tSpyszM1D333KNnnnlGjRs3vqk+O3bsqJdffllffPGFHnnkEa1atUrR0dHy8fEpUpze3t43vT0cw8vLizw4AfLgHG53HviwAOBaypQpw3uDwXh/dg7koegKOzxcYpKzAtWoUUPz58/Xtm3b9O6778rDw0OPP/64zp8/f1P9eXp6qmvXrlq1apUOHjyouLg49erVy8FRAwAAAACMRIF9De7u7mrSpImGDRumjIwMnT59+qb76tOnj+Li4jR9+nQFBwerUaNGDowUAAAAAGA0hohf4dChQ3rllVfUqVMn3XXXXcrIyNDixYtVtWrVIt0Du06dOgoNDdX27ds1btw4B0YMAAAAAHAGFNhXqFSpkgICArR48WKdOnVKvr6+atSokWbOnCk3N7ci9d2hQwf98ssv6t69u2OCBQAAAAA4DQrsK/j7+2vmzJlXXT9jxgy7xz179lTPnj1tj6tVq6bDhw8XuO3333+v1q1bq3Llyo4JFgAAAADgNCiwb4P9+/dr586d2rFjh95++22jwwEAAAAA3AIU2LdBr1695Ovrq5EjR6p58+ZGhwMAAAAAuAUosG+Dqw0ZBwAAAACUHBTYAIBi7Uh6ptEhAHAiRzN4TQBgHApsAECxFBAQIG9PT43a86vRoQBwQv7+/kaHAMAFUWADAIqloKAgxR0+rOTkZKNDMZzFYlF8fLyCg4Pl5eVldDguizw4h+TkZEVHR6tq1apGhwLABVFgAwCKraCgIAUFBRkdhuEyMzPl6empkJAQeXt7Gx2OyyIPziEpKcnoEAC4sFJGBwAAAAAAQElAgQ0AAAAAgAMwRBwA4JISEhJKzPXbedf+ZmVlce2vgciDcygpf9cAiicKbACAy0lISFCI2azMrCyjQwFwiyQmJiowMNDoMAC4GApsAIDLSU5OVmZWlhaG363avkxGBZQk+9LSNWH/UaWkpBgdCgAXRIENAHBZtX29FVbex+gwADjQ+Yu5RocAwIUxyRkAAAAAAA5AgQ0AAAAAgANQYAMAAAAA4AAU2AAAAAAAOIDLF9gLFixQgwYNbmrb5cuXq02bNgoJCdHIkSMLvd2kSZPUpUuXm9onAAAAAMA5ufws4r1791ZUVNQNbxcfH68ZM2Zo6NChuvfee1WhQoVbEB0AAAAAoLhw+QI7MDBQgYGBN7zd77//LqvVqj59+uiuu+66BZEBAAAAAIqTYjtEPG+Y9ebNm9WlSxeFhoaqZ8+e2rNnj63N559/roceekhNmjRR48aNNWDAAO3bt8+unyuHiMfGxspsNmvLli0aN26cGjRooHvvvVcxMTF2+3788cclSe3bt5fZbNaqVau0atUqmc1mpaam2u2jW7dumjRp0i14FgAAAAAAzqJYn8E+c+aMpkyZotGjR6tcuXKKiYnRkCFD9PXXX8vf31/Hjx9X9+7dFRQUpAsXLuirr77Sww8/rC+++EI1atS4Zt8vvPCCunXrpkWLFmnDhg2aNWuWzGazWrdurZEjR6pmzZqaNWuWFi5cqEqVKikoKEibNm26PQcuyWq1KjMz87btD/YsFovdTxiDPDiH4piH4hQrgJuTnZ3NZyWDFMf3hZKIPDiO1WqVyWQqVNtiXWCnpaVp7ty5atasmSSpSZMmioqK0vLlyzVu3DiNGjXK1vbSpUtq0aKF9u3bp88++0xPPfXUNfu+7777NHr0aElSs2bNtGnTJq1fv16tW7dWUFCQrUAPCQlRtWrVbtERXl1OTo7i4uJu+35hLz4+3ugQIPLgLIpTHopTrABuTlJSEp+VDMZrrXMgD47h4eFRqHbFusD29fW1Fdd5j5s3b669e/dKko4eParZs2dr9+7dSklJsbUrzC9Zy5Ytbf83mUyqWbOmkpKSHBd8Ebm7u6tWrVpGh+GyLBaL4uPjFRwcLC8vL6PDcVnkwTkUxzxkZWUZHQKAWywwMFAhISFGh+GSiuP7QklEHhznt99+K3TbYl1gV6xYMd8yf39/HT16VBkZGRo8eLAqVqyoSZMm6c4771SZMmX03HPPKTs7+7p9+/r62j12d3dXenq6w2IvKpPJJG9vb6PDcHleXl7kwQmQB+dQnPLABw2g5CtTpkyxeU0qqYrT+0JJRh6KrrDDw6ViXmBfOZmYJKWkpKhSpUras2ePkpKStHjxYtWpU8e2Pj09/aZmDS+MMmXKSLo8fPvvzp07d0v2BwAAAABwHsV2FnHpcrG8detWu8c//fST6tevbxv+5+7ublu/a9cuJSYm3rJ47rjjDknSsWPHbMuOHj2qkydP3rJ9AgAAAACcQ7E+g+3n56dnn31WY8aMka+vr2JiYmS1WjVw4EBJkre3t6ZMmaJhw4bp1KlTWrBgga0IvhXq16+vKlWq6D//+Y/GjRunjIwMLVmyRH5+frdsnwAAAAAA51Csz2BXqlRJkydP1pIlSzR27FhlZ2dr6dKlCggIUEBAgObNm6fU1FSNHDlSK1as0JQpU1S9evVbFo+7u7sWLlyoMmXKaOzYsVq8eLGeeeaZW1rUAwAAAACcQ7E+gy1Jbdq0UZs2bQpc17p1a7Vu3dpuWVRUlN3j0aNH227HJUmRkZE6fPhwvr5ef/11u8ft27cvsF29evW0cuVKu2WrV6+2ezxjxowC4wUAAAAAFF/F+gw2AAAAAADOggIbAAAAAAAHKLZDxBlmDQAAAABwJsW2wAYAoKiOpGcaHQIABzuawd81AONQYAMAXE5AQIC8PT01as+vRocC4Bbx9/c3OgQALogCGwDgcoKCghR3+LCSk5ONDsUhLBaL4uPjFRwcLC8vL6PDcVnkwTkkJycrOjpaVatWNToUAC6IAhsA4JKCgoIUFBRkdBgOkZmZKU9PT4WEhMjb29vocFwWeXAOSUlJRocAwIUxizgAAAAAAA5AgQ0AAAAAgAMwRBwAAAAlzr59+3TixAmjw3BJefMRZGVlMR+BgYpjHgICAor95VsU2AAAACgxEhMTJUnR0dEGRwLgRnl6e+lw3KFiXWRTYAMAAKDESElJkSTd8XgzedYMMDgaAIV14XiaTs77QcnJyRTYAAAAgDPxqFpenjW5FzaA24tJzgAAAAAAcAAKbAAAAAAAHIACGwAAAAAAB6DABgAAAADAASiw/79JkyapS5cuRocBAAAAACimKLABAAAAAHAACmwAAAAAAByAAvsqDh8+rCFDhig8PFwREREaM2aMTpw4YVs/YMAADR8+PN927733nsLCwpSeni5JslqtWrp0qaKjo1WvXj21a9dOy5cvv12HAQAAAAC4TUobHYAzOnnypPr376+77rpLM2fOVHZ2tubMmaP+/fvriy++kI+Pjzp37qxp06YpLS1Nfn5+tm2//PJLRUVFydfXV5L08ssv65NPPtHjjz+u+vXra9euXZo1a5bKlCmjhx566KZjtFqtyszMLOqh4iZZLBa7nzAGeXAO5MF45MA5kAfnkJ2dbXQIAIrAYrE4XZ1jtVplMpkK1ZYCuwDLly/XxYsXtWzZMlvxHBISos6dO+uzzz7TgAEDFB0drWnTpunrr79Wnz59JEmJiYnas2eP5s6dK0lKSEjQe++9pylTpujBBx+UJDVv3lxZWVlatGiRHnzwQZUqdXODCHJychQXF1fkY0XRxMfHGx0CRB6cBXkwHjlwDuTBWElJSUaHAKAI4uPj5enpaXQY+Xh4eBSqHQV2AXbs2KHIyEi7M9M1a9ZUnTp1tHPnTg0YMEAVKlRQ8+bN9dVXX9kK7P/973/y9vbWvffeK0n66aefJEn33XefLl68aOurefPmiomJ0cmTJ1W1atWbitHd3V21atW6ySNEUVksFsXHxys4OFheXl5Gh+OyyINzIA/GIwfOgTw4h79f0geg+AkODlZISIjRYdj57bffCt2WArsA586dKzCp/v7+Onv2rO1x586dNWnSJJ05c0aVKlXSV199pQ4dOqhMmTKSpL/++ktWq1VNmzYtcD9FKbBNJpO8vb1vals4jpeXF3lwAuTBOZAH45ED50AejJX3OQxA8eSMr6GFHR4uUWAXqHz58kpJScm3PCUlRcHBwbbH7dq1k4eHh9auXauWLVsqLi5OTz31lF0/JpNJH3zwgdzd3fP1V6NGjVsSPwAAAADg9qPALkBERIT++9//6uzZsypfvrwk6dixYzp8+LAeeOABWzsfHx+1adNGX331lc6ePauKFSuqefPmtvXNmjWTJKWlpalt27a39yAAAAAAALcVBXYBBg0apFWrVmnw4MEaMWKEsrOzNXfuXFWpUkU9evSwa9ulSxeNGjVKiYmJ6tixo0qX/r+ntEaNGnr44Yc1ceJEDRkyRPXr11dOTo7i4+MVGxur119//XYfGgAAAADgFqHALkCVKlX07rvv6tVXX9X48eNVqlQptWjRQpMmTZKPj49d27xbcp05c0adO3fO19dzzz2nGjVq6OOPP9aiRYtUtmxZ1ahRQx07drxdhwMAAAAAuA0osP+/GTNm2D2uU6eOli1bdt3tPDw8tGPHjquuN5lM6t+/v/r371/kGAEAAAAAzuvmbsIMAAAAAADsUGADAAAAAOAAFNgAAAAAADgA12ADAACgxLmQeFalPN2NDgNAIV04nmZ0CA5BgQ0AAIASw9/fX5J06s2tBkcC4EZ5enspICDA6DCKhAIbAAAAJUbVqlUlSevXry/2H9SLK4vFovj4eAUHB8vLy8vocFxWccxDQECAgoKCjA6jSCiwAQAAUOKEhYUpMDDQ6DBcUmZmpjw9PRUSEiJvb2+jw3FZ5MEYTHIGAAAAAIADUGADAAAAAOAADBEHAOAGJSQkKDk52egwbPKus8vKyio219mVROTBOTjT3yYA10OBDQDADUhISFCI2azMrCyjQwFwDYmJiVyDDeC2o8AGAOAGJCcnKzMrSwvD71ZtXyaNAZzNvrR0Tdh/VCkpKUaHAsAFUWADAHATavt6K6y8j9FhALjC+Yu5RocAwIUxyRkAAAAAAA5AgQ0AAAAAgANQYAMAAAAA4AAU2AAAAAAAOECJL7AnTZqkLl26XLdd27ZtNXXq1Gu2OX78uMxms9atW1fo/RemXwAAAABA8ccs4jegcuXK+vjjjxUcHGx0KAAAAAAAJ1MsC2yr1aqcnBx5eHjc1v16eHgoPDz8tu4TAAAAAFA8FIsh4nnDvDdv3qx//vOfCg0N1bvvviuz2azU1FS7tt26ddOkSZPy9bF582Z16dJFoaGh6tmzp/bs2VPgvt566y21atVK9evX14gRI3T69GnbuoKGiG/cuFE9e/ZUgwYN1KhRI/Xs2VObN2/O1+/777+ve++9VxERERo5cmS+uAEAAAAAxVuxOYN9+vRpTZs2TSNGjFCVKlV0/PjxQm975swZTZkyRaNHj1a5cuUUExOjIUOG6Ouvv5a/v7+t3TfffKOqVavqxRdf1Llz5zRr1iyNHj1aH3/8cYH9JiQkaOzYsercubPGjRunS5cu6dChQzp79qxdu2+//VZ//PGHJk+erL/++kvTp0/XSy+9pDlz5tzck6HLZ/EzMzNvensUjcVisfsJY5AH5+BqeXCV4wSKu+zsbD4rGcTV3hecFXlwHKvVKpPJVKi2xabAPnv2rGJiYlS/fn1J0qpVqwq9bVpamubOnatmzZpJkpo0aaKoqCgtX75c48aNs7U7f/68YmJi5OvrK0kKDAzUoEGD9MMPP6hVq1b5+v3ll1+Uk5Oj559/Xj4+PpJUYDur1ao33njDNqQ9MTFRixcv1qVLl1Sq1M0NIsjJyVFcXNxNbQvHiY+PNzoEiDw4C1fJg6scJ1DcJSUl8VnJYLxeOgfy4BiFvTy52BTYfn5+tuL6Rvn6+tqK67zHzZs31969e+3aRUZG2oprSWrWrJn8/Py0d+/eAgtns9ksNzc3jR8/Xn369FHjxo3tts/TuHFju4TUrFlTOTk5SklJUaVKlW7qmNzd3VWrVq2b2hZFZ7FYFB8fr+DgYHl5eRkdjssiD87B1fKQlZVldAgACiEwMFAhISFGh+GSXO19wVmRB8f57bffCt222BTYAQEBN71txYoV8y3z9/fX0aNH8y0raNszZ84U2G+NGjX05ptvavHixRo1apRKlSqlli1bavLkybrzzjtt7cqVK2e3XV6xnZ2dfcPHksdkMsnb2/umt4djeHl5kQcnQB6cg6vkgQ8pQPFQpkwZl3hNcmau8r7g7MhD0RV2eLhUTCY5k/IfVJkyZSRdHir9d+fOncu3bUETihV09jglJaXAba91lrl169Z6//33tW3bNr366qs6ePCgnnnmmasfCAAAAACgRCo2BfaV7rjjDknSsWPHbMuOHj2qkydP5mubnp6urVu32j3+6aef8g05j42NVXp6uu3x1q1blZaWVqih6T4+PurUqZM6d+6c78w4AAAAAKDkKzZDxK9Uv359ValSRf/5z380btw4ZWRkaMmSJfLz88vX1s/PT88++6zGjBkjX19fxcTEyGq1auDAgXbtypYtq6FDh2ro0KFKT0/XrFmzFBYWVuD115L00Ucfac+ePWrVqpUqVaqk48eP64svvlCLFi1uxSEDAAAAAJxYsS2w3d3dtXDhQr344osaO3asgoKC9O9//1szZszI17ZSpUoaP368Xn31VSUkJKh27dpaunRpvuu6O3TooMDAQL3wwgs6d+6cmjdvrilTplw1BrPZrO+++07Tp09XWlqaKlWqpM6dO2vs2LEOP14AAAAAgHMrFgV2QUWzJNWrV08rV660W7Z69eqrbtumTZur7uPbb7+1/X/YsGEFtqlWrZoOHz5se9ygQQMtXrz4qn1e2W+e9u3b2/UDAAAAACj+iu012AAAAAAAOBMKbAAAAAAAHIACGwAAAAAABygW12ADAOBsjqRnGh0CgAIczeBvE4BxKLABALgBAQEB8vb01Kg9vxodCoBr8Pf3NzoEAC6IAhsAgBsQFBSkuMOHlZycbHQoNhaLRfHx8QoODpaXl5fR4bgs8uAckpOTFR0drapVqxodCgAXRIENAMANCgoKUlBQkNFh2GRmZsrT01MhISHy9vY2OhyXRR6cQ1JSktEhAHBhTHIGAAAAAIADUGADAAAAAOAADBEHAABAibNv3z6dOHHC6DBcUt58BFlZWcxHYCBH5yEgIMCpLo9yVhTYAAAAKDESExMlSdHR0QZHApQsnt5eOhx3iCL7OiiwAQAAUGKkpKRIku54vJk8awYYHA1QMlw4nqaT835QcnIyBfZ1UGADAACgxPGoWl6eNbkXNoDbi0nOAAAAAABwAApsAAAAAAAcgAIbAAAAAAAHoMAGAAAAAMABSmyBHRsbK7PZrP379xsdCgAAAADABZTYAhsAAAAAgNuJAhsAAAAAAAcotgX27t279fjjj6tly5YKDw9Xt27d9Pnnn1+1/b///W/169fP9jg1NVV16tTRAw88YFt2/vx53XPPPVq7dq0k6ejRo3ryyScVFRWl+vXrq1OnTlq2bJkuXbpk26Znz54aN25cvv3NnDlTLVu2VG5uriRpyZIl6tChg0JDQ9W0aVMNGjRIf/75Z1GfBgAAAACAkyhtdAA368SJE2rYsKEeeugheXh4aNeuXXruuedktVrVo0ePfO0bN26sNWvWKDs7W2XKlNGOHTvk4eGhuLg4ZWRkyMfHR7t379bFixfVuHFjSdLp06dVo0YNde3aVWXLllVcXJwWLFigzMxMjRo1SpLUu3dvzZgxQ+np6fL19ZUk5ebmavXq1erRo4fc3Nz0+eefa968eRozZozCw8OVnp6unTt36vz58zd9/FarVZmZmTe9PYrGYrHY/YQxyINzIA/GIwfOgTw4h+zsbKNDAEosi8XikjWI1WqVyWQqVNtiW2B37tzZ9n+r1arGjRvr1KlT+vjjjwsssBs1aqQLFy5o7969atKkibZv364OHTroxx9/1K5du9S6dWtt375dwcHBCggIkCQ1a9ZMzZo1s+0jIiJCWVlZeu+992wFdteuXfXKK69ozZo1tjPkmzdv1pkzZ2xnx/ft2yez2azhw4fb4mnfvn2Rjj8nJ0dxcXFF6gNFFx8fb3QIEHlwFuTBeOTAOZAHYyUlJRkdAlBixcfHy9PT0+gwDOHh4VGodsW2wD579qwWLFigjRs36tSpU7ah2H5+fgW2v+uuuxQYGKjt27erSZMm2rFjh/r27ausrCxt375drVu31o4dO2xnr6XL34AuXrxYa9as0cmTJ5WTk2Nbd/78eZUtW1Y+Pj66//779emnn9oK7FWrVqlRo0YKDg6WJNWtW1cffPCBpk+frg4dOqh+/fpyd3cv0vG7u7urVq1aReoDN89isSg+Pl7BwcHy8vIyOhyXRR6cA3kwHjlwDuTBOZw4ccLoEIASKzg4WCEhIUaHcdv99ttvhW5bbAvsSZMmaffu3XriiSdUq1Yt+fj46MMPP7RdP12Qxo0ba8eOHcrIyNChQ4fUqFEjWSwWrVu3ThcuXNC+ffvUu3dvW/uZM2fqk08+0RNPPKF69erJ19dXGzdu1BtvvKHs7GyVLVtWktSnTx/17dtXhw4dUuXKlbVp0yZNnTrV1k/Pnj11/vx5/fe//9Xy5cvl6+ur7t27a/z48Tf9DZDJZJK3t/dNbQvH8fLyIg9OgDw4B/JgPHLgHMiDscqUKWN0CECJ5aqvb4UdHi4V00nOsrOztWnTJo0YMUIDBgxQs2bNFBoaKqvVes3tGjdurD179ig2NlYVKlRQzZo11ahRIx04cEA///yzLly4oEaNGtnar1u3Tg8++KCGDRum5s2bKzQ0VKVL5/9OokGDBqpdu7Y+/fRTrV69Wh4eHurYsaNtfalSpTRw4EB99dVX+v777zVy5Eh9+OGHWrp0qeOeFAAAAACAoYplgX3hwgVdunTJbph1RkaGvv3222tu16hRI2VmZmr58uW2QjokJERlypRRTEyMqlSpomrVqtnaZ2dn2+0jNzdXX331VYF99+7dW2vWrNHKlSvVqVOnq36zc8cdd2jw4MEym806duxYoY8ZAAAAAODciuUQcV9fX4WGhiomJkYVK1ZU6dKltWTJEvn4+Cg1NfWq29WsWVP+/v7atm2bnnvuOUmSm5ubGjZsqO+//15du3a1a9+8eXN98sknqlWrlipUqKAPPvhAFy5cKLDvbt26adasWfrrr7/08ssv262bPHmyypUrp/DwcJUrV067du3SoUOH9NBDDxXxmQAAAAAAOItieQZbkl577TUFBQVp0qRJmjZtmqKjo9W9e/frbpd35vrvk5nl/f/vyyTp+eefV+PGjfXSSy/p2Wef1d13363HH3+8wH79/PzUpEkT1apVS+Hh4XbrGjRooJ07d+rZZ5/VY489pjVr1uiZZ56xu94bAAAAAFC8Fcsz2JJUvXp1rVixIt/y0aNHS5IiIyN1+PDhfOvnz5+fb9mwYcM0bNiwfMsDAgK0aNGifMsLKowzMjK0a9cu2/7/rkePHgXeOgwAAAAAUHIU2wLbWWRkZOjo0aP64IMPZDKZ1LNnT6NDAgAAAAAYgAK7iA4ePKhHHnlEVapU0SuvvHLV+3ADAAAAAEo2CuwiutpQdAAAAACAa6HABgAAQIlzIfGsSnm6X78hgOu6cDzN6BCKDQpsAAAAlBj+/v6SpFNvbjU4EqBk8fT2UkBAgNFhOD0KbAAAAJQYVatWlSStX7+eYsAgFotF8fHxCg4OlpeXl9HhuCxH5yEgIEBBQUEOiKxko8AGAABAiRMWFqbAwECjw3BJmZmZ8vT0VEhIiLy9vY0Ox2WRB2OUMjoAAAAAAABKAgpsAAAAAAAcgCHiAAAUIwkJCUpOTrZblnedXVZWFtc7Gog8OIcr/z4A4HaiwAYAoJhISEhQiNmszKwso0MBnF5iYiLXYAO47SiwAQAoJpKTk5WZlaWF4Xerti8T1gAF2ZeWrgn7jyolJcXoUAC4IApsAACKmdq+3gor72N0GIBTOn8x1+gQALgwJjkDAAAAAMABKLABAAAAAHAACmwAAAAAAByAAhsAAAAAAAco9gX2uXPnZDabtWrVKtuytm3baurUqQZGdW0jR47UgAEDjA4DAAAAAOBAxb7ABgAAAADAGRSLAjs3N1c5OTlGh3FDsrKyjA4BAAAAAHAb3ZICe/fu3Ro8eLAaNmyoBg0aqHfv3tqyZYskadasWeratasaNGigVq1a6amnntLp06ftth8wYICGDx+uzz77TNHR0QoNDdWhQ4ckSf/973/Vtm1b1a9fXwMHDtQff/xx1TjeeusttWrVSvXr19eIESPy7SctLU3PPPOMIiMjFRYWpr59+2r79u12bTZt2qRHH31UzZo1U8OGDdW7d299//33dm1WrVols9ms3bt369FHH1V4eLheffVVSdLRo0fVv39/hYaGqn379vrss89u7kkFAAAAADi10o7ucOfOnRo4cKDCw8M1bdo0lStXTgcOHNCJEyckSSkpKRo+fLgqV66s1NRUvf322xowYIC++uorlS79f+EcOHBAiYmJGjt2rMqVK6cqVarou+++0/PPP6+ePXuqU6dOOnjwoMaOHVtgHN98842qVq2qF198UefOndOsWbM0evRoffzxx5IunxUfOnSo/vzzT40fP14BAQF699139eijj+qjjz5SvXr1JEnHjx/Xvffeq8GDB6tUqVL6/vvvNWzYMK1YsUKRkZF2+xw3bpwefPBBDR8+XF5eXsrOztbgwYPl5eVlK7jnz5+vjIwMBQcHF+l5tlqtyszMLFIfuHkWi8XuJ4xBHpwDebh9eI6BwsvOzuazkkF4X3AO5MFxrFarTCZTodo6vMCeOXOmqlevrhUrVsjNzU2S1LJlS9v66dOn2/6fm5urBg0aqHXr1vr555/t2p09e1YrV65UlSpVbMveeOMNNWrUyNZHq1atlJ2drddffz1fHOfPn1dMTIx8fX0lSYGBgRo0aJB++OEHtWrVSps2bdK+fftsZ7nz4rzvvvu0ePFiLViwQJLUv39/W5+XLl1SZGSkfvvtN/33v//NV2D37dtXw4YNsz3+8MMPdfr0aa1du9ZWUNetW1cdO3YscoGdk5OjuLi4IvWBoouPjzc6BIg8OAvycOvxHAOFl5SUxGclg/Ga5RzIg2N4eHgUqp1DC2yLxaK9e/fqqaeeshXXV9q8ebPeeOMNHTlyRBkZGbbl8fHxdgX23XffbVdc5+bm6uDBg5owYYJdf9HR0QUW2JGRkbbiWpKaNWsmPz8/7d27V61atdKOHTvk4+NjK64lyd3dXR06dNCXX35pW5aUlKQ5c+bop59+0pkzZ2S1WiVJ99xzT759tmnTxu7xvn37VLt2bbtiunr16qpTp06Bz82NcHd3V61atYrcD26OxWJRfHy8goOD5eXlZXQ4Los8OAfycPswvwdQeIGBgQoJCTE6DJfE+4JzIA+O89tvvxW6rUML7HPnzunSpUuqXLlygev37dunkSNHql27dho6dKj8/f1lMpnUp08fZWdn27UNCAiwe5yamqqLFy+qYsWK12yXx9/fP9+yihUr6syZM7ZYC2oTEBCgs2fPSrp8xnrEiBFKT0/XmDFjVL16dXl5eWn+/Pk6efJkgdv+3enTpwvch7+/f77jvVEmk0ne3t5F6gNF5+XlRR6cAHlwDuTh1uMDElB4ZcqU4TXJYLwvOAfyUHSFHR4uObjA9vX1ValSpfJNJpZnw4YN8vHx0dy5c1Wq1OX51RITEwtse+VBVKxYUaVLl1Zqaqrd8uTk5AK3T0lJybcsNTVVlSpVkiSVL1++wDbJyckqX768JOmPP/7QL7/8okWLFql9+/a2NoU9g1C5cmUdPHiwwNh8fHwK1QcAAAAAoHhw6Czi3t7eCg8P1+rVq5Wbm5tvfVZWltzd3e2K5zVr1hSqbzc3N9WtW1fffPON3fL169cX2D42Nlbp6em2x1u3blVaWprq168vSYqIiFBGRoZ+/PFHW5uLFy9qw4YNioiIkCTbWWZ3d3dbm8TERO3evbtQMYeGhurIkSN2M53/8ccfthnRAQAAAAAlh8MnORs3bpwGDRqkQYMGqV+/fipfvrwOHjyoChUqqEWLFlqxYoVeeukldejQQbt379bq1asL3ffjjz+ukSNH6plnnrHNIn617cuWLauhQ4dq6NChSk9P16xZsxQWFma75rpNmzYKCwvThAkTNG7cONss4qdPn9b8+fMlSf/4xz8UGBio1157TZcuXVJmZqbmz59/1SHwV+rZs6feeOMNDR8+3Dbb+fz58686rB0AAAAAUHw5/D7YjRo10jvvvCOTyaRnnnlGo0aN0oYNG1S1alVFRUVp/Pjx2rhxo0aMGKEdO3Zo8eLFhe67Xbt2mjJlirZu3aonnnhCW7Zs0dy5cwts26FDB7Vt21YvvPCCJk+erHr16mnhwoW29W5ublqyZInatGmjmTNnavTo0Tp//ryWLVtmu0WXh4eHFixYIA8PD40dO1bz58/XiBEj1KRJk0LF6+npqWXLlsnf318TJkzQrFmz9Nhjjyk0NLTQxwwAAAAAKB5M1rxpsVFs7N+/X5Io1A2UmZmpuLg4hYSEMGmEgciDcyAPt8+uXbsUERGh9a3CFVaeuTyAgmxNOaueW/dr/fr1uu+++4wOxyXxvuAcyIPj3Ej95fAz2AAAAAAAuCIKbAAAAAAAHIACGwAAAAAAB3D4LOIAAODWOpKeaXQIgNM6msHfBwDjUGADAFBMBAQEyNvTU6P2/Gp0KIDT8/f3NzoEAC6IAhsAgGIiKChIcYcPKzk52W65xWJRfHy8goOD5eXlZVB0IA/OITk5WdHR0apatarRoQBwQRTYAAAUI0FBQQoKCrJblpmZKU9PT27FYjDy4BySkpKMDgGAC2OSMwAAAAAAHIACGwAAAAAAB2CIOAAAAEqcffv26cSJE0aH4ZLy5iPIyspiPoLbKCAgIN8lRLj9KLABAABQYiQmJkqSoqOjDY4EuL08vb10OO4QRbbBKLABAABQYqSkpEiS7ni8mTxrBhgcDXB7XDieppPzflBycjIFtsEosAEAAFDieFQtL8+a3AsbwO3FJGcAAAAAADgABTYAAAAAAA5AgQ0AAAAAgANQYAMAAAAA4AAuWWBv2LBB77///m3f76pVq7RmzZrbvl8AAAAAwK3nsgX2hx9+eNv3+9lnn+nLL7+87fsFAAAAANx6LllgF4bVatWFCxeMDgMAAAAAUEy43H2wJ02apM8++0ySZDabJUk9evSQJB04cEATJkzQa6+9pmPHjmnWrFnq2LGjdu/erTlz5mjfvn1yc3NTmzZt9O9//1v+/v93b8VZs2Zp8+bNOn78uHx8fNS4cWNNmjRJlStXliQNGDBA27Zts9vvqFGjNHr06Nt27AAAAACAW8flCuyRI0cqNTXVVkBLUsWKFfX666/r9OnTmjZtmkaMGKEqVarozjvv1O7duzVgwABFRUVpzpw5slgsmjt3rkaOHKmPP/7Y1m9KSoqGDx+uypUrKzU1VW+//bYGDBigr776SqVLl9YLL7ygCRMmyNPTU08//bQkKTAw8KaPw2q1KjMzs2hPBm6axWKx+wljkAfnQB6MRw6cA3lwDtnZ2UaHABjGYrHYagRekxzHarXKZDIVqq3LFdhBQUGqWLGiTpw4ofDwcLt1Z8+eVUxMjOrXr29b9uyzz6pevXpauHCh7Um9++671aVLF23evFlRUVGSpOnTp9u2yc3NVYMGDdS6dWv9/PPPatmypWrVqiUfHx95e3vn2+/NyMnJUVxcXJH7QdHEx8cbHQJEHpwFeTAeOXAO5MFYSUlJRocAGCY+Pl6enp75lqHoPDw8CtXO5Qrsa/Hz87Mrri0Wi3bt2qWJEycqNzfXtjw4OFhVqlTR/v37bQX25s2b9cYbb+jIkSPKyMiwtY2Pj1fLli0dHqu7u7tq1arl8H5ROBaLRfHx8QoODpaXl5fR4bgs8uAcyIPxyIFzIA/O4cSJE0aHABgmODhYISEhknhNcqTffvut0G0psP8mICDA7vG5c+eUm5ur6dOn252hznPy5ElJ0r59+zRy5Ei1a9dOQ4cOlb+/v0wmk/r06XPLhimZTCZ5e3vfkr5ReF5eXuTBCZAH50AejEcOnAN5MFaZMmWMDgEwTEGvP7wmFV1hh4dLFNh2rnzifH19ZTKZNHz4cLVv3z5f+woVKki6fNsvHx8fzZ07V6VKXZ6YPTEx8dYHDAAAAABwGi5ZYLu7uxfqzHLe9dLHjh1TaGjoVdtlZWXJ3d3drkBfs2bNTe8XAAAAAFD8uOR9sGvWrKnExER9+eWX2r9/v44fP37VthMnTtSmTZv0r3/9S998841iY2O1evVqPf3004qNjZUktWjRQmfOnNFLL72krVu36vXXX7fdCuzv/vGPf+jAgQP69ttvtX//fp06deqWHSMAAAAA4PZyyTPYvXr10r59+/TSSy8pLS3Ndh/sgjRs2FAffPCBFixYoGeeeUY5OTkKDAxU06ZNVb16dUlSVFSUxo8fr/fee0+rVq1Sw4YNtXjxYkVHR9v1NXToUCUkJOjpp5/WuXPnuA82AAAAAJQgLllg+/j4aPbs2YVuHxoaqiVLllyzzdChQzV06FC7ZYcPH7Z7fMcdd1y3HwAAAABA8eSSQ8QBAAAAAHA0CmwAAAAAAByAAhsAAAAAAAdwyWuwAQAAULJdSDyrUp7uRocB3BYXjqcZHQL+PwpsAAAAlBj+/v6SpFNvbjU4EuD28vT2UkBAgNFhuDwKbAAAAJQYVatWlSStX7+eYsMgFotF8fHxCg4OlpeXl9HhuIyAgAAFBQUZHYbLo8AGAABAiRMWFqbAwECjw3BJmZmZ8vT0VEhIiLy9vY0OB7itmOQMAAAAAAAHoMAGAAAAAMABGCIOAIALSEhIUHJystFhlGh5151mZWVx3amB+D0HYCQKbAAASriEhASFmM3KzMoyOhTgtklMTOQabAC3HQU2AAAlXHJysjKzsrQw/G7V9mXCIZRs+9LSNWH/UaWkpBgdCgAXRIENAICLqO3rrbDyPkaHAdxS5y/mGh0CABfGJGcAAAAAADgABTYAAAAAAA5AgQ0AAAAAgANQYAMAAAAA4AAlvsBu27atpk6detu2K4xJkyapS5cut6RvAAAAAIAxSvws4gsXLlS5cuVu23YAAAAAANdUYgvsrKwseXp6qm7duje1/c1uBwAAAABwTcVmiPjXX3+tbt26KTQ0VC1bttT06dOVnZ0tSYqNjZXZbNamTZs0ZswYNWzYUGPHjpVU8FDvjz76SPfee6/q16+vRx99VL/88ovMZrNWrVpla3PldnnDumNjY9W9e3eFh4erV69eOnDggF3fy5Yt0wMPPKCIiAg1a9ZMw4cP1++//36rnhYAAAAAgJMoFmewN27cqDFjxqhz584aN26cjh07pjlz5ujkyZOaP3++rd3zzz+vf/7zn1q0aJFKlSr4u4ONGzfqhRdeUO/evRUdHa24uDj961//KlQcZ86c0bRp0zRs2DD5+vrqtdde06hRo/TNN9/I3d1dkpSUlKT+/fvrzjvvVEZGhj766CP17dtX69evl5+fX1GfChur1arMzEyH9YcbY7FY7H7CGOTBOZAH410vB+QGrig7O5vPSgbhfcE5kAfHsVqtMplMhWpbLArshQsXKjw8XK+99pokqXXr1vLy8tLkyZN1+PBhW7u2bdtqwoQJ1+zrjTfeUNOmTTVt2jRJUqtWrXTx4kXNmzfvunGcPXtW7733nmrXri1J8vLy0iOPPKK9e/eqUaNGkqR///vftva5ublq0aKFmjVrpvXr1+vBBx+8sQO/hpycHMXFxTmsP9yc+Ph4o0OAyIOzIA/Gu1oOyA1cUVJSEp+VDMZrj3MgD47h4eFRqHZOX2CfP39ecXFxevrpp+2Wd+rUSZMnT9bOnTtVs2ZNSVKbNm2u2Vdubq7i4uI0ceJEu+Xt2rUrVIFduXJlW3EtSbVq1ZIknTp1yrZsz549mjdvnn755RelpaXZljv6F9vd3d22f9x+FotF8fHxCg4OlpeXl9HhuCzy4BzIg/Gul4OsrCwDogKMFRgYqJCQEKPDcEm8LzgH8uA4v/32W6HbOn2BnZ6eLqvVKn9/f7vlvr6+8vDw0NmzZ23LrmxzpdTUVF28eFEVK1a0W3697fJcOat43rDwvGvBT5w4ocGDB6tevXqaMmWKKleuLHd3dw0fPtzWxlFMJpO8vb0d2idunJeXF3lwAuTBOZAH410tB3ywgisqU6YMr0kG433BOZCHoivs8HCpGBTYvr6+MplMSk1NtVuenp6uCxcuqHz58rZl1zvwihUrqnTp0vn6SklJcUisP/zwgzIzM+1u8XXx4kW7LwEAAAAAACWT088iXrZsWYWEhGjdunV2y9euXStJioiIKHRfbm5uCgkJ0caNG+2Wb9iwoeiB6vIQPJPJpNKl/+97i7Vr1+rixYsO6R8AAAAA4LycvsCWpFGjRmnPnj0aP368vv/+e61YsUL/+c9/FB0dLbPZfEN9jRgxQrGxsXruuef0448/asmSJfr8888l6aozjxdW06ZNJUnPPPOMtm7dqnfeeUezZ8/ON7QcAAAAAFDyFIsCO28Ssl9//VUjR45UTEyM+vTpo5kzZ95UXy+++KJ+/PFHjRw5Uj/88INefPFFSZKPj0+R4jSbzZo+fboOHjyo4cOH66uvvtK8efPk6+tbpH4BAAAAAM7P6a/BzhMdHa3o6OgC10VGRtrdruvvvv3223zLHnroIT300EO2x5988okkqU6dOlfdbsaMGfn6KVeuXL79du/eXd27d79mDAX1BQAAAAAo3opNge0oaWlpWrhwoZo2baqyZctq//79evPNN9WuXTtVq1bN6PAAAAAAAMWUyxXYpUuX1p9//qkvv/xS6enpqlChgrp166bx48cbHRoAAAAAoBhzuQLbx8dHixcvNjoMAAAAAEAJ43IFNgAArupIeqbRIQC33NEMfs8BGIcCGwCAEi4gIEDenp4atedXo0MBbht/f3+jQwDggiiwAQAo4YKCghR3+LCSk5ONDqVEs1gsio+PV3BwsLy8vIwOx2UlJycrOjpaVatWNToUAC6IAhsAABcQFBSkoKAgo8Mo0TIzM+Xp6amQkBB5e3sbHY7LSkpKMjoEAC6slNEBAAAAAABQElBgAwAAAADgAAwRBwDARSQkJHAd9i2Udw12VlYW12AbiN9xAEaiwAYAwAUkJCQoxGxWZlaW0aEAt0ViYqICAwONDgOAi6HABgDABSQnJyszK0sLw+9WbV8m4ELJtS8tXRP2H1VKSorRoQBwQRTYAAC4kNq+3gor72N0GMAtc/5irtEhAHBhTHIGAAAAAIADUGADAAAAAOAAFNgAAAAAADgABTYAAAAAAA5gaIF9/PhxLViwQKdOnbJbHhsbK7PZrP379xsUWcGcNS4AAAAAgPEMLbATExO1cOFCnT592sgwCu2ee+7Rxx9/rJo1axodCgAAAADAybjkbbqysrLk6el5w9v5+PgoPDzc8QEBAAAAAIq9W34G++uvv1a3bt0UGhqqli1bavr06crOzlZsbKweeeQRSVKvXr1kNptlNpvttj137pzGjRunBg0a6N5771VMTEy+/nfv3q1HHnlE4eHhioiI0Lhx45SSkmJbf/z4cZnNZq1atUrPPfecIiMj1bt3b33++eeqV6+esrKybG27du2qunXrKiMjw7bswQcf1JQpUyQVPER85cqV6ty5s8LCwhQZGamHHnpI+/bts623Wq1aunSpoqOjVa9ePbVr107Lly8v2pMKAAAAAHA6t/QM9saNGzVmzBh17txZ48aN07FjxzRnzhydPHlS//nPfzR58mRNnTpV06dP1z/+8Y9827/wwgvq1q2bFi1apA0bNmjWrFkym81q3bq1pMvF9YABAxQVFaU5c+bIYrFo7ty5GjlypD7++GO7vmbPnq2oqCi99tprunTpkmrWrKmcnBzt2bNHTZs21V9//aUjR47Iw8NDO3fuVFRUlCwWiw4ePKiBAwcWeHzbt2/Xs88+q8GDBysqKkpZWVnat2+f0tPTbW1efvllffLJJ3r88cdVv3597dq1S7NmzVKZMmX00EMP3fRza7ValZmZedPbo2gsFovdTxiDPDgH8mC8wuSA/MDVZGdn81nJILwvOAfy4DhWq1Umk6lQbW9pgb1w4UKFh4frtddekyS1bt1aXl5emjx5sp544gnVqlVLklS7dm2Fhobm2/6+++7T6NGjJUnNmjXTpk2btH79eluB/dprr6levXpauHCh7YDvvvtudenSRZs3b1ZUVJStrzp16ujll1+26//OO+/Ujh071LRpU+3cuVOVK1dWWFiYtm/frqioKO3evVs5OTlq1KhRgce3b98++fn56emnn7Yta9Omje3/CQkJeu+99zRlyhQ9+OCDkqTmzZsrKytLixYt0oMPPqhSpW5uEEFOTo7i4uJuals4Tnx8vNEhQOTBWZAH410rB+QHriYpKYnPSgbjdcc5kAfH8PDwKFS7W1Zgnz9/XnFxcXbFpyR16tRJkydP1s6dO687WVjLli1t/zeZTKpZs6aSkpIkXf4mZteuXZo4caJyc3Nt7YKDg1WlShXt37/frsD+e+Gbp1GjRtq+fbuky2ejGzdurLCwMP3vf/+zLatevboqV65cYHx169ZVWlqaJk2apK5du6phw4by8vKyrf/pp58kXf6i4OLFi7blzZs3V0xMjE6ePKmqVate8zm4Gnd3d9sXFLj9LBaL4uPjFRwcbJdz3F7kwTmQB+MVJgd/vyQKcAWBgYEKCQkxOgyXxPuCcyAPjvPbb78Vuu0tK7DT09NltVrl7+9vt9zX11ceHh46e/bsdfvw9fW1e+zu7m4bfn3u3Dnl5uZq+vTpmj59er5tT548aff4yjgkqUmTJnr55ZeVk5Oj7du3q3fv3qpfv75mzpwpi8WiHTt2XPXstXT5rPqrr76qd955R0OGDFGZMmUUHR2tf//73/Lz89Nff/0lq9Wqpk2bFrh9UQpsk8kkb2/vm9oWjuPl5UUenAB5cA7kwXjXygEfruBqypQpw2uSwXhfcA7koegKOzxcuoUFtq+vr0wmk1JTU+2Wp6en68KFCypfvrxD+h8+fLjat2+fb32FChXsHhf0pDRq1EgWi0WxsbE6dOiQGjdurH/84x/y9PRUbGys9u7dqx49elwzjm7duqlbt25KTU3Vxo0bNX36dJUuXVr/+c9/VL58eZlMJn3wwQdyd3fPt22NGjVu8KgBAAAAAM7qlhXYZcuWVUhIiNatW6dBgwbZlq9du1aSFBERofPnz0u6PAnFjfL29lZ4eLiOHTtW4PXbhVGjRg1VqlRJixcvVvny5W1DriMiIrR06VJlZ2ercePGheqrYsWK6t27t77//nsdO3ZM0uUz3JKUlpamtm3b3lSMAAAAAIDi4ZZOcjZq1Cg98cQTGj9+vP75z3/q999/15w5cxQdHS2z2azU1FS5ubnp008/VenSpeXm5nZDxfLEiRM1cOBA/etf/1Lnzp1Vrlw5JSUl6aefflLPnj0VGRl53T4iIiK0bt063XfffbZljRo10qxZsxQYGKi77rrrqtvOnz9faWlpatKkifz9/fXrr7/qhx9+sH2hUKNGDT388MOaOHGihgwZovr16ysnJ0fx8fGKjY3V66+/XuhjBQAAAAA4t1taYLdr107z5s3TokWLNHLkSPn5+alPnz4aN26cpMtnfSdPnqy33npLX3zxhS5evKjDhw8Xuv+GDRvqgw8+0IIFC/TMM88oJydHgYGBatq0qapXr16oPpo0aaJ169bZXWvdpEkTSbrm9deSFBoaqhUrVmjt2rXKyMhQYGCghgwZohEjRtjaPPfcc6pRo4Y+/vhjLVq0SGXLllWNGjXUsWPHQh8nAAAAAMD5maxWq9XoIHBj9u/fL0k3PTQeRZeZmam4uDiFhIQwaYSByINzIA/GK0wOdu3apYiICK1vFa6w8j63OULg9tmaclY9t+7X+vXr7UYo4vbhfcE5kAfHuZH66+ZuwgwAAAAAAOxQYAMAAAAA4AAU2AAAAAAAOMAtneQMAAA4lyPpmUaHANxSRzP4HQdgHApsAABcQEBAgLw9PTVqz69GhwLcFv7+/kaHAMAFUWADAOACgoKCFHf4sJKTk40OpcSyWCyKj49XcHCwvLy8jA7HZSUnJys6OlpVq1Y1OhQALogCGwAAFxEUFKSgoCCjwyixMjMz5enpyS1xDJaUlGR0CABcGJOcAQAAAADgABTYAAAAAAA4AEPEAQAAUOLs27dPJ06cMDoMl5Q3H0FWVhbzEdwiAQEBXPLjpCiwAQAAUGIkJiZKkqKjow2OBLh1PL29dDjuEEW2E6LABgAAQImRkpIiSbrj8WbyrBlgcDSA4104nqaT835QcnIyBbYTosAGAABAieNRtbw8a3IvbAC3F5OcAQAAAADgABTYAAAAAAA4AAU2AAAAAAAOQIENAAAAAIADUGBfYfny5dq8eXO+5W3bttXUqVMNiAgAAAAAUBwwi/gV3nnnHbVp00ZRUVF2yxcuXKhy5coZFBUAAAAAwNlRYBdS3bp1jQ4BAAAAAODEnG6I+O7du/XII48oPDxcERERGjdunFJSUiRJx48fl9ls1ueff67JkyerUaNGatasmd5++21J0ldffaXo6Gg1bNhQo0aN0rlz5+z6TkxM1JgxYxQREaHw8HANGTJEhw8ftq1v27atEhMT9f7778tsNstsNmvVqlW2dVcOEf/666/VrVs3hYaGqmXLlpo+fbqys7Nt62NjY2U2m7VlyxaNGzdODRo00L333quYmJhb8twBAAAAAIzjVGewd+/erQEDBigqKkpz5syRxWLR3LlzNXLkSH388ce2dnPnztV9992nefPmacOGDZoxY4ZSU1O1bds2TZgwQRkZGZo2bZpmzpypl156SZKUkZGhAQMGqFSpUpoyZYrKlCmjN954Q/3799cXX3yhKlWqaOHChRo2bJgaNmyowYMH/7/27jyuiur/H/jrgqAii2tqqBHivYKALIqyCOKGCGqRSypGqWmakJkPFS01P31dKDJBS0kNM9c0DWRR0RJUoBLKFnFD3DXDBFQUhPP7wx83h3uBC1w2eT0fDx51z5yZOTPvc8Z77jkzAwDo0qWL2rIePnwYQUFB8PHxwXvvvYfMzEysWrUKN27cQFhYmCTv4sWLMXLkSKxduxYJCQn45JNPoFAo4O7uXuVzJYTAgwcPqrw+VU9+fr7kv1Q3GIf6gXGoe4xB/cA41A9PD3YQPcvy8/PL7Q/wmqQ9QgjIZDKN8tarDnZoaCisra2xZs0a5QHI5XL4+vri6NGj6Nq1KwDAzs4OCxYsAAD07dsXBw8exDfffIMjR46gVatWAIAzZ85g9+7dyg72d999h+vXryMmJka5nd69e8PT0xObN2/G/PnzYWVlBX19fbRt2xZ2dnbllnXNmjWws7NDaGgoAMDd3R3NmzfHokWLcObMGSgUCmXeIUOGIDAwEADg7OyMH3/8EQcOHKhWB7uwsBCnT5+u8vqkHVlZWXVdBALjUF8wDnWPMagfGIe6dfPmzbouAlGtyMrKQrNmzTTKR9Wnr6+vUb5608HOz89HWloa5s6di6KiImW6mZkZOnbsiN9//13ZMXZ1dVUu19XVRefOnSGTyZSd65L1cnNzcf/+fbRo0QK//PILunXrptwGALRs2RIuLi44efJkpcp6//59nD59GvPmzZOkDxs2DIsWLcLJkyclHWw3Nzfl/8tkMnTt2rXaF389PT1YWFhUaxtUdfn5+cjKyoKZmRmaN29e18VptBiH+oFxqHuMQf3AONQP169fr+siENUKMzMzWFpalrmc1yTtOX/+vMZ5600HOzc3F0VFRVi+fDmWL1+usvzGjRvK/zcyMpIs09PTg4GBgUoa8GSaUIsWLZCbm4u2bduqbLdNmzY4d+5cpcqal5cHIQTatGkjSTcyMoK+vj5ycnJU0kuXLS8vr1L7LE0mk6kcM9W+5s2bMw71AONQPzAOdY8xqB8Yh7rVtGnTui4CUa3Q9FrDa1L1aTo9HKhHHWwjIyPIZDJMmzYNgwYNUln+9Oh0VZiYmODixYsq6dnZ2TAxManUtkrKeufOHUl6Xl4eCgoKKr09IiIiIiIiavjqzVPEDQwMYGdnh8zMTNjY2Kj8derUqVrbd3R0xNmzZ5GZmalMy8nJwYkTJ+Do6KhM09PTq/DhGC1atIClpSXi4+Ml6XFxccp9ERERERERUeNSb0awAWDu3LkICAjArFmz4OPjA2NjY9y8eRMnTpyAn58fTE1Nq7xtPz8/REZGYtq0aZg1a5byKeJNmjRBQECAMp+5uTlSUlJw/PhxGBsbo1OnTmpHz2fOnIm3334bc+bMwYgRI3Dx4kWsWrUKXl5ekvuviYiIiIiIqHGoNyPYAODg4IBt27bhwYMHCA4OxtSpU/H555+jWbNmeOGFF6q1bUNDQ2zZsgXdu3fHBx98gDlz5sDExATffPMNOnbsqMw3e/ZsdOjQAYGBgRg1ahR++OEHtdsbOHAgVq9ejbNnz2LGjBn48ssvMWbMGHz88cfVKicRERERERE1TPVqBBsAbGxsEBERUebyM2fOqKRt2bJFJc3Pzw9+fn6SNFNTU4SHh5e7/27dumHr1q0q6UeOHFFJ8/LygpeXV5nb6tOnj9ryfv755+WWgYiIiIiIiBqeejWCTURERERERNRQsYNNREREREREpAXsYBMRERERERFpQb27B5uIiIiIqLoKruVAp5leXReDSOsKrt6t6yJQOdjBJiIiIqJnRps2bQAAt9Yl13FJiGpOM4PmaNu2bV0Xg9RgB5uIiIiInhmmpqYAgAMHDrADUkfy8/ORlZUFMzMzNG/evK6L80xq27YtunTpUtfFIDXYwSYiIiKiZ46trS06dOhQ18VolB48eIBmzZrB0tISBgYGdV0colrFh5wRERERERERaQE72ERERERERERawA42ERERERERkRawg01ERERERESkBexgExEREREREWkBO9hEREREREREWsAONhEREREREZEWsINNREREREREpAXsYBMRERERERFpATvYRERERERERFrADjYRERERERGRFrCDTURERERERKQF7GATERERERERaQE72ERERERERERawA42ERERERERkRawg01ERERERESkBexgExEREREREWkBO9hEREREREREWiATQoi6LgRVTlpaGoQQ0NfXr+uiNFpCCBQWFkJPTw8ymayui9NoMQ71A+NQ9xiD+oFxqB+Kiopw6dIlvPDCC9DV1a3r4jRKbAv1A+OgPQUFBZDJZHBwcKgwb5NaKA9pGRtI3ZPJZPyBox5gHOoHxqHuMQb1A+NQP+jq6sLc3Lyui9GosS3UD4yD9shkMo37YBzBJiIiIiIiItIC3oNNREREREREpAXsYBMRERERERFpATvYRERERERERFrADjYRERERERGRFrCDTURERERERKQF7GATERERERERaQE72ERERERERERawA42ERERERERkRawg01ERERERESkBexgExEREREREWkBO9hEREREREREWsAONhEREREREZEWsINNVIYjR45gxIgRsLGxgZeXF/bs2VPhOqdOnUJwcDAGDx6Mnj17YsiQIQgNDcWDBw8k+cLDw6FQKFT+tm/fXlOH0yDVZAwAIC0tDWPHjoWtrS08PT0REREBIURNHEqDVpU4FBQUICQkBBMmTICdnR0UCgXu3Lmjko9tQXM1GQeA7UETVYkBAOTl5WHBggVwcnKCvb09goKC8Pfff0vysC2ounDhAt544w3Y2dnB1dUVISEhKCgoqHA9IQQiIiLQv39/2NraYuzYsfj1119V8t26dQuBgYGwt7eHk5MTFi5ciHv37tXAkTRsNRmH1NRUtfX+3XffraGjaZiqGoOtW7di2rRp6Nu3LxQKBeLj49XmY1vQriZ1XQCi+uiXX37BzJkzMWrUKCxYsAApKSlYuHAhWrRogaFDh5a5XlxcHC5duoQpU6bAzMwM58+fR1hYGH777Td8/fXXkrzNmjXD5s2bJWmdO3eukeNpiGo6BpcuXcLkyZPh6uqKWbNm4cyZM/jkk0+gq6uLyZMn18YhNghVjcPDhw/x7bffwsbGBo6Ojjh27FiZedkWKlbTcWB7qFhVYwAAs2bNwvnz57FkyRI0bdoUn332Gd58803s2bMHTZr891WMbeE/OTk5CAgIgJmZGcLDw3Hr1i2sWLECDx8+xKJFi8pd98svv0RYWBjmzJkDhUKBrVu3YtKkSfj++++V57OwsBBTpkwBAISGhuLhw4dYuXIl3nvvPaxfv77Gj6+hqOk4lFi+fDnMzc2Vn1u1alUjx9MQVScG33//PQDAw8MD+/btU5uHbaEGCCJSMWnSJDF27FhJ2uzZs4W3t3e562VnZ6ukRUVFCblcLn7//XdlWlhYmLCzs9NOYZ9RNR2DDz74QHh6eopHjx4p00JDQ0WvXr0kaY1dVeMghBDFxcVCCCH27Nkj5HK52tiwLWimpuPA9lCxqsYgLS1NyOVykZSUpEy7cOGCUCgUIiYmRpnGtiC1bt06YWdnJ/79919l2o4dO4SlpaW4efNmmes9fPhQODg4iNDQUGXao0ePhKenp1i8eLEyLTo6WigUCnHhwgVlWlJSkpDL5eK3337T6rE0ZDUdh5SUFCGXy8WpU6dqovjPhKrGQAghioqKhBBCXLlyRcjlchEXF6eSh21B+zhFnKiUgoICpKamqoxIDBs2DBcuXMDVq1fLXLd169YqaVZWVgCgMh2QylYbMUhMTMTAgQOhr68v2X5ubi7S09OrewjPhOrEAQBkMllNFq/RqI04sD2UrzoxSExMhLGxMVxdXZVp5ubmsLS0RGJiYo2VuaFLTEyEs7MzWrZsqUzz9vZGcXExjh8/XuZ6aWlpuHfvHry9vZVp+vr6GDx4sOR8JyYmQqFQSEZNXV1d0bJlSxw9elS7B9OA1XQcqGJVjQEA6OhU3NVjW9A+drCJSrl8+TIKCwslFxoA6Nq1KwAgMzOzUts7efIkAKhs7+HDh+jbty+srKwwbNgw7Nq1qxqlfrbUdAwePHiAGzduqGzf3NwcMpms0tt/Vmk7DmVhWyhfTceB7aFi1YlBZmYmXnzxRZUfOszNzVXWY1v4T2Zmpsr5NjY2Rrt27So834Dqv7ldu3bF9evX8fDhwzK3L5PJ8OKLL7LOP6Wm41Bi6tSpsLS0hLu7O1auXKmyvDGragyqs322herhPdhEpeTk5AB4cvF6WsnnkuWauHPnDsLDwzFw4ECYmZkp07t06YI5c+bAysoKjx49QnR0ND744APk5eXxfkfUfAzy8vLUbl9fXx/Nmzev1PafZdqMQ1nYFipW03Fge6hYdWKQm5sLIyMjlXQTExP88ccfys9sC1K5ubkq5xt4ct4qOt/6+vpo2rSpJN3Y2BhCCOTk5KBZs2blxoV1/j81HQcjIyNMmTIFvXv3RtOmTZGSkoJNmzYhMzOT9//+f1WNQWW2z7agXexgU6OQl5en0RRtbT5MprCwELNnzwYALFmyRLJs5MiRks/9+/dHYWEhvvjiC7z22mvQ09PTWjnqi/oWg8aqLuJQnsbYFoD6F4fGqL7FoLG2BWrcrKyslLdxAYCzszOee+45LF26FKdOnYKtrW0dlo6oatjBpkYhPj4e77//foX5YmNjYWJiAuC/UZ0Subm5AKBcXh4hBBYsWIBTp05h27ZteO655ypcx9vbGwcOHMDly5eV0w6fJfUpBiW/1JbefkFBAfLz8zXafkNV23Goime9LQD1Kw6NtT3UVgyMjY1x8+ZNlfScnJwKz21jaAtlMTY2VjnfQMXnzdjYGAUFBXj06JFk9DQ3NxcymUy5rrGxsdrXEOXk5KBjx45aOIJnQ03HQR1vb28sXboUf/zxBzvYqHoMKrN9tgXtYgebGoXRo0dj9OjRGuUtKCiAnp4eMjMz0a9fP2V6WfcTqbNy5UrExcXhyy+/RPfu3atW6GdMfYqBgYEBOnbsqHJv0cWLFyGE0Gj7DVVtx4HUq09xaKztobZiYG5ujuTkZAghJPdhX7x4EXK5vIqlf/apu0c9Ly8Pt2/frvB8A0/O79PX/szMTDz//PNo1qyZMt/Zs2cl6wohcPHiRckD6Rq7mo4DVayqMajM9tkWtIsPOSMqRV9fH3369MGBAwck6bGxsejatSs6depU7voRERGIjIzEihUr4OzsrPF+Y2NjYWxsjC5dulSp3M+S2oiBu7s7Dh8+jMLCQsn2jY2NYW9vX/2DeAZUNw5VxbYgVRtxYHsoX3Vi4O7ujpycHCQnJyvTLl68iL/++gvu7u7l7rcxtwV3d3ecOHFCOUsAeDLrQEdHp9wv/Q4ODjA0NERcXJwyrbCwEAcPHpScb3d3d2RkZCArK0uZlpycjLt378LDw0O7B9OA1XQc1ImJiQEA2NjYVLP0z4aqxqAy22db0LI6e0EYUT32888/C0tLS7F48WKRkpIiVq9eLRQKhYiNjZXks7S0FMHBwcrPJe9bnjNnjkhPT5f8Pf3u2Zdfflls3rxZJCUliUOHDomgoCAhl8tFZGRkrR1jfVfTMcjKyhJ2dnYiMDBQnDhxQkRGRooePXqIDRs21NoxNgRVjYMQQvz4448iLi5OfPjhh0Iul4vdu3eLuLg4ce7cOWUetgXN1HQc2B4qVp0YTJo0SXh4eIjY2Fhx+PBh4evrK0aMGCEKCwuVedgWpO7evStcXV2Fv7+/SEpKErt37xa9evUSH374oSTfa6+9JgYNGiRJW79+vbC2thaRkZHixIkTIjAwUNjb24vLly8r8xQUFAhfX1/h6+srjhw5ImJiYoSHh4eYOnVqrRxfQ1HTcXjvvfdEWFiYSEhIEElJSeLjjz8WPXr0EDNmzKiV42sIqhODU6dOibi4OLF161Yhl8vFihUrRFxcnEhNTVXmYVvQPnawicqQkJAgfH19RY8ePcTgwYPFt99+q5JHLpeLefPmKT/PmzdPyOVytX979uxR5nvnnXeEp6ensLGxEba2tmLUqFHi+++/r5XjakhqMgZCCHHy5EkxevRoYW1tLdzd3cX69etFcXFxjR9XQ1OVOAghhKenp9o4hIWFKfOwLWiuJuMgBNuDJqoag9zcXBEcHCx69eol7OzsxMyZM8XNmzcledgWVJ0/f14EBAQIW1tb4ezsLFasWCEePXokyePv7y88PT0lacXFxWLdunXC3d1dWFtbi9GjR4u0tDSV7d+8eVPMnDlT2NnZiV69eong4GCRl5dXo8fUENVkHNatWyd8fHyEnZ2d6NGjhxgyZIgIDw9X2X5jV9UYlPWdyN/fX5KPbUG7ZEIIUdej6EREREREREQNHe/BJiIiIiIiItICdrCJiIiIiIiItIAdbCIiIiIiIiItYAebiIiIiIiISAvYwSYiIiIiIiLSAnawiYiIiIiIiLSAHWwiIiIiIiIiLWAHm4iIiIiIiEgL2MEmIqoHvvvuOygUCly9erVO9l9cXAxfX1988cUXdbJ/0lxJXfn999/ruii17urVq1AoFPjuu+80yq9QKBAeHl7Dpap7jeU4G3Pdrynz58/HgAEDamz7hYWF8PDwwNatW2tsH0T1DTvYRFTrzpw5g6CgIHh6esLGxgb9+vXDG2+8gS1btkjyDRgwANOmTVO7jdTUVCgUCsTHx6tdvnXrVigUCowePbrMcigUCuVf9+7d4ebmhkmTJiE1NbXMdQoLC9GnTx+MGzeuzDxCCHh4eODll18uM099s3//fty4cQP+/v51XRRqQMLDwyXtqGfPnhg2bBhWrVqFe/fu1UoZjh492ig6l1S/lNR9FxcX5Ofnqywv79+v2nbr1i2Eh4fj9OnTtb5vPT09vPHGG1i3bh0ePXpU6/snqgvsYBNRrUpLS8Mrr7yCjIwMjB49GosWLcLo0aOho6ODr7/+Wmv7iY6OhqmpKU6dOoVLly6Vmc/V1RUhISFYsWIFXn31VZw5cwYBAQE4evSo2vx6enoYOnQo0tPTce3aNbV5fv75Z9y8eRMjRozQyrHUho0bN8LHxwdGRkZ1XRRqgJYsWYKQkBDMnz8f5ubmWLduHaZMmQIhhFb3U9KmR44cqUw7evQo1qxZozb/qVOnMH36dK2Wgehp2dnZ2L59e10Xo1x///031qxZo7aD/b///a/MH6q1xc/PD//++y+io6NrdD9E9QU72ERUq9atWwcjIyPs3r0bM2bMwOjRoxEUFISNGzdix44dWtnHlStXkJ6ejuDgYLRu3brcf9TNzMwwcuRIvPTSS5g5cyY2bdoEIUS5nf3hw4dDCIGYmBi1y/fv3w8dHR0MGzas2sdSG/766y9kZGTA29tba9ssLi7maEUj4uXlhZEjR2LcuHFYs2YNhgwZgvT0dPz6669a3Y9MJkPTpk2hq6urUf6mTZuiSZMmWi2DNqkb+aSGxdLSEhs3bsTDhw/ruihVoqenB319/Rrdh7GxMdzc3LB3794a3Q9RfcEONhHVqsuXL8PCwgLGxsYqy9q0aaOVfURHR8PExAQeHh7w8vKq1K/mCoUCrVq1KvdeaEdHR5iamqrdbmFhIQ4cOIA+ffqgffv2yMjIwPz58zFw4EDY2NjA1dUVwcHB+PfffzUqi7qprwMGDMD8+fMlabm5ufi///s/eHh4wNraGoMHD0ZERASKi4sr3E9CQgL09PTQq1cvlWWpqanw8/ODjY0NBg0ahB07diinRpYu69KlSxEVFQUfHx/Y2NggKSkJwJPpicHBwXBxcYG1tTV8fHywe/dulX0VFBQgLCwMgwcPhrW1NTw8PBASEoKCggK1+0pISICvr69ym4mJiRUeqzaV3A+8ceNGREZGwtPTE7a2tvD398fZs2cleSdOnIiJEyeqbEPd/Y8xMTHw8/ODvb09HBwcMHz4cGzevFll3YKCAixfvhx9+/aFnZ0d3n77bdy5c0cl39GjRzF+/HjY2dnB3t4eU6dOxblz5yR5bt++jeDgYLi7u8Pa2hpubm6YPn16lZ8J0LdvXwBQrv/gwQOsWLFCWT+9vLywceNGlRHu48ePY9y4cejVqxfs7e3h5eWFTz/9VLm89D3Y8+fPV97b+fRU9RJPt6H4+HgoFAr89NNPKuXdsWMHFAqFJG4XLlxAUFAQnJycYGNjAz8/Pxw+fLhK5wN4Ugd8fX3xxx9/YMKECejZs6fy2DSt+wUFBVi2bBn69u0Le3t7vPXWW7h582aVy1RVrPv/efvtt/HPP/9oNIpdXFyMyMhI5TXSxcUFixYtQk5Ojkq+8PBwuLm5oWfPnpg4cSLOnz+vcu2/e/cuVq5cieHDhyvP2ZQpU5CRkaHMk5qailGjRgEAgoODlW3k6TZUEofCwkI4OTkhODhYpez37t2DjY0NVq5cqUzTtN4CgIuLC06ePIm7d+9WeJ6IGrr6+7MuET2TTE1NkZ6ejrNnz0Iul1eY//Hjx2q/OOXl5ZW5TnR0NAYPHgx9fX34+vpi+/btOHXqFGxtbSvcX05ODnJzc/HCCy+UmUcmk2H48OFYt24dzp07h27duimXJSUl4e7duxg+fDgA4MSJE7hy5Qr8/PzQrl07nDt3Drt27cL58+exa9cuyGSyCstUkfz8fPj7++PWrVt49dVX0bFjR6Snp+PTTz/F7du3sXDhwnLXT09Ph1wuh56eniT9r7/+wpQpU9CuXTsEBgaiuLgYa9euRevWrdVuJyUlBXFxcZgwYQJatWoFU1NT/PPPPxgzZgxkMhkmTJiA1q1bIzExEQsXLsS9e/fw+uuvA3jyhXL69Ok4efIkxowZg65du+Ls2bPYvHkzsrKy8Pnnn0v2dfLkSRw8eBDjx49HixYtsGXLFgQFBeGHH35Aq1atyj1edfVJHUNDQ41Gdvbt24f79+9j/PjxePToEbZs2YKAgABER0ejbdu2Gu2rxPHjxzF79mw4Oztjzpw5AIDMzEykpaUhICBAkvejjz6CsbExZs6ciWvXrmHz5s1YunQpPvvsM0nZ5s+fDzc3N8yZMwf5+fnYvn07xo8fj71796JTp04AgMDAQJw/fx7+/v4wNTXFnTt3cPz4cdy4cUOZpzIuX74MAGjZsiWEEJg+fbryi76lpSWSkpIQEhKCW7duYcGCBQCAc+fOYdq0aVAoFAgKCoK+vj4uXbqEtLS0MvczduxY/P333zh+/DhCQkLKLVP//v1hYGCAuLg4ODk5SZbFxsaiW7duymvSuXPnMG7cOLRv3x5vvvmmcr23334b4eHhGDx4cKXPCfCkQ/Tmm2/Cx8cHI0aMQJs2bSpV9xcuXIioqCj4+vrCwcEBKSkpmDp1qsb7Z93Xft13dHRE3759sWHDBowbNw7NmjUrM++iRYuwd+9e+Pn5YeLEibh69Sq2bt2Kv/76C9u3b1deg0NDQ7FhwwZ4enqiX79+yMjIwOTJk1VmBV25cgUJCQkYOnQoOnXqhH/++Qc7d+6Ev78/YmJi0L59e3Tt2hVBQUEICwvD2LFj4ejoCABwcHBQKZ+enh4GDRqEQ4cO4cMPP5TUgYSEBBQUFChnZlX2mt2jRw8IIZCeng5PT88KzytRgyaIiGrRsWPHhKWlpbC0tBRjx44VISEhIikpSRQUFKjk9fT0FHK5vNy/uLg4yTq///67kMvl4vjx40IIIYqLi4W7u7v46KOPVLYvl8vFggULRHZ2tsjOzha//fabCAgIEHK5XGzatKnc4zh37pyQy+UiNDRUkv7uu+8KGxsbkZeXJ4QQIj8/X2Xd/fv3C7lcLn7++Wdl2p49e4RcLhdXrlyRlC8sLEzteZk3b57y89q1a4WdnZ24ePGiJN8nn3wiLC0txfXr18s9Fnd3dxEYGKiSPm3aNNGzZ09x8+ZNZVpWVpawsrIScrlcklcul4vu3buLc+fOSdIXLFggXF1dxZ07dyTp7777rnB0dFSen3379onu3btLzokQQmzfvl3I5XJx8uRJyb569OghLl26pEw7ffq0kMvlYsuWLeUea8n6mvzt2bOn3O1cuXJFyOVyYWtrKzlHv/32m5DL5WLZsmXKNH9/f+Hv76+yjXnz5glPT0/l548++kg4ODiIx48fl7nfkrry+uuvi+LiYmX6smXLhKWlpcjNzRVCCHHv3j3Rq1cv8f7770vWv337tnB0dFSm5+TkCLlcLjZs2FDu8aoTFhYm5HK5yMzMFNnZ2eLKlStix44dwtraWri4uIgHDx6IQ4cOCblcLj7//HPJuoGBgUKhUCjj+NVXXwm5XC6ys7PL3F/JOX86Nh9++KFKfSxRug3Nnj1bODs7S87v33//Lbp37y7WrFmjTAsICBC+vr7i0aNHyrTi4mIxduxYMWTIEA3PjpS/v7+Qy+Vi+/btknRN635JHV+yZIkk3+zZs8u8VpTGuq/9up+dnS1++uknIZfLxVdffaVc7unpKaZOnar8/PPPPwu5XC6ioqIk20lMTJSk3759W1hZWYkZM2ZI8oWHhwu5XC659j969EgUFRVJ8l25ckVYW1tL6vOpU6fKjGvpOCQlJQm5XC6OHDkiyffmm2+KgQMHKj9X5pothBC3bt0ScrlcREREqJSB6FnDEWwiqlWurq7YsWMHIiIicOzYMaSnp2PDhg1o3bo1PvroIwwcOFCSv2fPnpg1a5bKdjIyMiRT1UqUjJz06dMHwJPR5mHDhiEqKgrz589XuXdz9+7dkunKTZs2xRtvvKEyYlKahYUFrKysEBMTg9mzZwN4Mg32yJEj6N+/PwwNDQFAMprx6NEj3L9/Hz179gQA/Pnnn2qnZVdWfHw8HB0dYWxsLBmhcnFxQUREBH7++edyH7h29+5dlSn7RUVFSE5OxqBBg9C+fXtl+gsvvIB+/frhhx9+UNlO7969YWFhofwshMDBgwfh7e0NIYSkbG5uboiJicGff/4JR0dHxMfHo2vXrjA3N5fkK5lqnJqaKhlxcXFxQZcuXZSfu3fvDkNDQ1y5cqXccwUAX331VYV5AEiOpTylz5GtrS169uyJo0ePqp1qWR5jY2Pk5+fj+PHjcHd3LzdvycyAEr169UJkZCSuXbuG7t2748SJE8jNzYWPj4/knOro6KBnz57Kp+U3a9YMenp6+OmnnzBq1CiYmJhUqswAMHToUMnnbt26YcWKFWjevDkSExOhq6urMk140qRJOHDgABITE+Hv76+sg4cPH8Yrr7wCHR3t38Xm7e2N/fv346effoKzszMA4MCBAyguLlaOzN29excpKSkICgpSeRK6m5sbwsPDcevWLUnMNaWvrw8/Pz9JmqZ1v+TBi6XPY0BAAPbv36/R/ln3tV/3gSfXvj59+mDDhg149dVX1Y5ix8fHw8jICK6urpIy9ejRAwYGBkhNTcXw4cORnJyMx48fY/z48ZL1/f39VW4ZenqEuaioCLm5uTAwMMCLL76Iv/76q0rH0rdvX7Rq1QqxsbHKkeacnBycOHECkyZNkhxPZa7ZJedWk9ujiBo6drCJqNbZ2tpizZo1KCgoQEZGBhISEhAZGYl33nkH+/btk3y5a9WqFVxcXFS2oe4hR0VFRYiJiUGfPn0k98/Z2tpi06ZNSE5Ohpubm2SdgQMHwt/fHzKZDC1atICFhQUMDAw0Oo7hw4dj5cqVSEtLg4ODAxISEpCfny/pzN69exdr1qxBbGwssrOzJeuXN829Mi5duoQzZ84oOwylaTItVJS6FzY7OxsPHz5UO1W+rOnzpadT3rlzB7m5udi5cyd27txZbtkuXbqECxculHkMpc9dx44dVfKYmJggNzdX7fpPU1efqkPd+TAzM0NcXFyltzV+/HjExcXhzTffRPv27eHq6gpvb2+1HY7nn39e8rmkg1pyDrKysgCgzB+LSn4E0tfXx5w5c7By5Uq4urqiZ8+e6N+/P1566SW0a9dOo3KHh4fD0NAQTZo0QYcOHSQ/fly7dg3PPfeccn8lunbtqlwOAMOGDcO3336L999/H6GhoXB2dsbgwYMxdOhQrXW23d3dYWRkhNjYWGVdi42NhaWlJV588UUAT6a3CyGwevVqrF69Wu12srOzq9TBbt++vcrUa03r/rVr16CjoyM5twBgbm6u8f5Z95/QZt0vERgYCH9/f+zYsUN568vTLl26hLy8vArjfP36dQBQiXPLli1VfgAoLi7G119/jW3btuHq1asoKiqS5K+KJk2aYMiQIdi/fz8KCgqgr6+PgwcPorCwUPLgzspes0v+jdHGbVFE9R072ERUZ/T19WFrawtbW1uYmZkhODgY8fHxmDlzZpW2l5KSgtu3byMmJkbtE76jo6NVOtgdOnSo8pdOHx8ffPzxx9i/fz8cHBywf/9+mJiYSL4Qzpo1C+np6Zg8eTIsLS1hYGCA4uLiar3C6OkvUcCTL1murq6YMmWK2vxmZmblbq9ly5YadUwrUnrUpuQBayNGjCjzneAlD6QqLi6GXC4vc9SrQ4cOks9lPUVak3N6+/btCvMAgJGRUbn3U2pD6Vi2adMG+/btw7Fjx5CYmIjExER89913eOmll1RmbJTV6Sw5ByX/DQkJUdtZePocvv766xgwYAASEhJw7NgxrF69GhEREdi8eTOsrKwqPI5evXqVeW++ppo1a4atW7ciNTUVP/74I5KSkhAbG4udO3di06ZNGj85vDz6+vrKe0wXL16M7OxspKWlKWehAP/V20mTJqFfv35qt1O686MpdfWpsnW/Olj3n9Bm3S/Ru3dvODk5KUexSysuLkabNm3wySefqF2/Ku1n3bp1WL16NV555RW88847MDExgY6ODpYtW1atV+T5+Phg586dSExMxKBBgxAfHw9zc3N0795dcjyVqbclD3Kr6BkZRM8CdrCJqF6wtrYG8OR9nVUVHR2NNm3aYNGiRSrLDh06pHxwi7a+OLZv3x59+vRBfHw8ZsyYgRMnTuDll19WjlDl5OQgOTkZgYGBkh8NSkZXKqJuRLagoEDlS3KXLl3w4MGDKv9QYG5urvLE3DZt2qBp06Zq3yFe3nvFn9a6dWu0aNECxcXFFZatS5cuyMjIgLOzc42PcJT+kaUsy5cvV5nOq46685GVlQVTU1PlZxMTE7XT10tGq56mr6+PAQMGYMCAASguLsaSJUuwc+dOzJgxo9yH75XWuXNnAE9iqUnd6NKlCyZNmoRJkyYhKysLL730EjZt2lRmh0BTpqamSE5Oxr179ySj2JmZmcrlJXR0dODs7AxnZ2cEBwdj3bp1WLVqFVJTU8s8hsrWF29vb+zduxfJycm4cOEChBCSV9SVnDc9PT2tj/iqo2ndNzU1RXFxMS5fviwZtS45j5pg3VdPW3U/MDAQEydOVPvKyS5duiA5ORkODg7l/htUMjp/+fJl5XEAT6ZWl37aeMkbK5YtWyZJz83NlXRkK9tGevfujXbt2iE2Nlb5ML233npL5Xgqc80u+TemZOYK0bOMr+kiolqVkpKi9pf1kvsLKzPd8WkPHz7EwYMH0b9/fwwdOlTlb8KECbh//z6OHDlSrfKXNnz4cGRnZ2PRokUoLCxUPj0cKHuUVd1rZ9Tp3LkzfvnlF0narl27VEZ+vL29kZ6ernwt1tNyc3Px+PHjcvdjZ2eHc+fOSV6toqurCxcXFxw+fBi3bt1Spl+6dEntftTR1dWFl5cXDhw4oPLqHkA6dd3b2xu3bt3Crl27VPI9fPgQDx480Gifmvjqq680+tO0M5KQkCA5R6dOncJvv/0mmcnQuXNnZGZmSo45IyND5QnZpe9P1NHRUY7yq3v1TXn69esHQ0NDrF+/HoWFhSrLS8qSn5+v8nTiLl26oEWLFpXepzru7u4oKipSvk6rRGRkJGQymfI8qXt9j6WlJYDyj7158+YAoPEsDBcXF7Rs2RKxsbGIi4uDra2tpCPTpk0bODk5YefOnWp/8NP0Sdya0rTul5ynLVu2SPJoej0BWPdL1FTdd3JyUo5il96ut7c3ioqKVJ6uDTx5W0ZJ/XV2dkaTJk1UXvtVuv0AT66xpf89jYuLk8QEqHwb0dHRwdChQ/HDDz8gKioKjx8/lkwPLzmeylyz//zzT8hkMtjZ2WlUBqKGjCPYRFSrPvroI+Tn52Pw4MEwNzdHYWEh0tLSEBcXB1NTU41GTdQ5cuQI7t+/r/Je1RJ2dnZo3bo1oqKiVL4oVIeXlxc+/PBDHD58GB07dkTv3r2VywwNDdG7d29s2LABhYWFaN++PY4fP67x+1VHjx6NxYsXIzAwEC4uLsjIyMCxY8dUpthNnjwZR44cwVtvvYWXX34ZPXr0QH5+Ps6ePYsDBw7g8OHD5U4/HDhwID7//HP89NNPki/WM2fOxLFjxzBu3DiMGzcOxcXF+Oabb9CtWzecPn1ao2N47733kJqaijFjxmD06NGwsLBATk4O/vzzTyQnJyvfSTxy5EjExcVh8eLFyofjFBUVITMzE/Hx8diwYQNsbGw02mdFtD0q2aVLF+U5KigowNdff42WLVtKpuyPGjUKkZGRmDx5MkaNGoXs7Gzs2LEDFhYWuH//vjLf+++/j5ycHPTt2xft27fH9evX8c0338DS0rLSIz+GhoZYsmQJ5s6dCz8/PwwbNgytW7fG9evXcfToUTg4OGDRokXIysrC66+/jqFDh8LCwgK6urpISEjAP//8Ax8fn2qfnwEDBqBPnz5YtWoVrl27BoVCgePHj+Pw4cMICAhQTrdeu3YtfvnlF3h4eMDU1BTZ2dnYtm0bOnTooHy1kDo9evQA8OTa4ubmBl1d3XLLraenh8GDByMmJgb5+fmYN2+eSp7Fixdj/PjxGD58OMaMGYPOnTvjn3/+wa+//oqbN28iKipKcnwAqvzjnaZ139LSEr6+vti2bRvy8vJgb2+PlJQUjWeUAKz7tVH3Z86ciddee00l3cnJCWPHjsX69etx+vRpuLq6Qk9PD1lZWYiPj8fChQsxdOhQtG3bFq+99ho2bdqEt956C/369cOZM2eQmJiIVq1aSUaL+/fvj7Vr1yI4OBj29vY4e/YsoqOjJT8YAU/iZGxsjB07dqBFixYwMDBQ+WGpNG9vb2zZsgVhYWGQy+UqMajsNfvEiRNwcHDgFHFqFNjBJqJaNXfuXMTHx+Po0aPYuXMnCgsL8fzzz2P8+PGYPn26ytOsNRUVFYWmTZvC1dVV7XIdHR30798f0dHR+Pfff7X2j7yhoSE8PT0RHx8PHx8flalyoaGh+N///odt27ZBCAFXV1d8+eWXZd7b+bQxY8bg6tWr2L17N5KSkuDo6IivvvpK5QE6zZs3x5YtW7B+/XrEx8dj3759MDQ0hJmZGQIDA2FkZFTufqytraFQKBAXFyfpYFtbW+PLL79ESEgIVq9ejY4dOyIoKAiZmZkaT0tt27Ytvv32W6xduxaHDh3C9u3b0bJlS1hYWCjfdQs8ic/atWsRGRmJ77//HocOHULz5s3RqVMnTJw4UfkAqvropZdego6ODjZv3ozs7GzY2trigw8+wHPPPafM07VrV6xcuRJhYWFYvnw5LCwsEBISonyidYkRI0Zg165d2LZtG3Jzc9GuXTt4e3sjMDCwSg/6Gj58OJ577jlERERg48aNKCgoQPv27dGrVy/lj1kdOnSAj48PkpOTERUVBV1dXZibm+Ozzz6Dl5dXtc+Pjo4OvvjiC4SFhSE2NhbfffcdTE1NMXfuXMlTiQcMGIBr165hz549yjbq5ORUYR0eMmQIJk6ciJiYGERFRUEIUWHnqOSBajKZTDI9vISFhQX27NmDNWvWYO/evbh79y5at24NKysrvP3225K8Dx48qNT05dIqU/eXLVuGVq1aITo6GocPH0afPn0QEREBDw+PKu+/Olj3VfXp0wdOTk6SYyuxdOlSWFtbY8eOHVi1ahV0dXVhamqKESNGSJ64PWfOHDRr1gzffvstkpOTYWdnh40bN2L8+PGSh+S99dZbyM/PR3R0NGJjY2FlZYX169cjNDRUsl89PT2sWLECn376KZYsWYLHjx9j+fLl5XawHRwc0LFjR9y4cUPtj9KVqbd5eXk4duwYFi9eXKlzSdRQyUR1noJARETPhH379mHp0qX48ccfK/yRY8aMGTh//jwOHjxYS6Wrn65evYqBAwdi7ty5mDx5cl0Xh+rA+fPn4ePjg/Xr16N///51XZxaw7pf+3Jzc9G7d2/MmjUL06dPr+viVEpkZCQ2bNiAhISEGn94HlF9wHuwiYgII0aMwPPPP69yn9/Dhw8ln7OyspCYmAgnJ6faLB5RvZSamgp7e/tG1bmmmlf6ugv8d699Q7v2FhYWIjIyEtOnT2fnmhoNThEnIiLo6Ohg//79KumDBg3Cyy+/jM6dO+PatWvYsWMH9PT0ynwlGFFjMmHCBEyYMKGui0HPmNjYWOzduxfu7u4wMDBAWloa9u/fDzc3t3KfR1Af6enp4ccff6zrYhDVKnawiYioTP369UNMTAxu374NfX192NnZYfbs2RW+W5uIiKpGoVBAV1cXGzZswP3799GmTRu89tprmDVrVl0XjYg0wHuwiYiIiIiIiLSA92ATERERERERaQE72ERERERERERawA42ERERERERkRawg01ERERERESkBexgExEREREREWkBO9hEREREREREWsAONhEREREREZEWsINNREREREREpAX/Dz17/OFOfLLtAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 24: Attention Visualisation for DistilBERT (FIXED v3)\n",
        "# ============================================================\n",
        "import copy\n",
        "\n",
        "# Step 1: Save trained weights\n",
        "trained_weights = copy.deepcopy(model.state_dict())\n",
        "\n",
        "# Step 2: Reload model from scratch with eager attention\n",
        "model = DistilBertForSequenceClassification.from_pretrained(\n",
        "    'distilbert-base-uncased',\n",
        "    num_labels=2,\n",
        "    attn_implementation=\"eager\",\n",
        "    output_attentions=True\n",
        ")\n",
        "\n",
        "# Step 3: Load our trained weights back in\n",
        "model.load_state_dict(trained_weights, strict=False)\n",
        "model.cpu()\n",
        "model.eval()\n",
        "print(\"Model reloaded with eager attention successfully!\")\n",
        "\n",
        "def visualise_attention(text, model, tokenizer, layer=-1, head=0):\n",
        "    \"\"\"Extract [CLS] attention weights from a DistilBERT layer.\"\"\"\n",
        "    inputs = tokenizer(text, return_tensors='pt', truncation=True,\n",
        "                       max_length=256, padding=True)\n",
        "\n",
        "    with torch.no_grad():\n",
        "        outputs = model(**inputs)\n",
        "\n",
        "    attention = outputs.attentions[layer][0, head].cpu().numpy()\n",
        "    cls_attention = attention[0]\n",
        "    tokens = tokenizer.convert_ids_to_tokens(inputs['input_ids'][0])\n",
        "\n",
        "    valid_mask = [t not in ['[CLS]', '[SEP]', '[PAD]'] for t in tokens]\n",
        "    filtered_tokens = [t for t, m in zip(tokens, valid_mask) if m]\n",
        "    filtered_attn   = cls_attention[valid_mask]\n",
        "    filtered_attn   = filtered_attn / filtered_attn.sum()\n",
        "\n",
        "    return filtered_tokens, filtered_attn\n",
        "\n",
        "pos_review = test_bert_df[test_bert_df['label']==1]['bert_text'].iloc[0]\n",
        "neg_review = test_bert_df[test_bert_df['label']==0]['bert_text'].iloc[0]\n",
        "\n",
        "fig, axes = plt.subplots(2, 1, figsize=(16, 10))\n",
        "\n",
        "for idx, (review, label) in enumerate(\n",
        "        [(pos_review, 'Positive'), (neg_review, 'Negative')]):\n",
        "    tokens, attn = visualise_attention(review[:500], model, tokenizer)\n",
        "    n_show  = min(25, len(tokens))\n",
        "    top_idx = np.argsort(attn)[-n_show:][::-1]\n",
        "    colours_map = plt.cm.YlOrRd(attn[top_idx] / attn[top_idx].max())\n",
        "\n",
        "    axes[idx].barh(range(n_show), attn[top_idx],\n",
        "                   color=colours_map, edgecolor='gray')\n",
        "    axes[idx].set_yticks(range(n_show))\n",
        "    axes[idx].set_yticklabels([tokens[i] for i in top_idx], fontsize=9)\n",
        "    axes[idx].set_title(\n",
        "        f'DistilBERT [CLS] Attention - {label} Review (Last Layer, Head 0)',\n",
        "        fontsize=13)\n",
        "    axes[idx].set_xlabel('Attention Weight')\n",
        "    axes[idx].invert_yaxis()\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "f58d379415f04db89d017673046f3138",
            "6da0d6a94df346eca7906102f52fd816",
            "e1bd5d1e2bd94542a747f4bb775e3a87",
            "ea4d81bfe4c644f5b28d7574c1efb9b5",
            "b26dd518dc6d42b08b63b286273c69b8",
            "a6568657098e4b399b054d0cb1c36c33",
            "5e084b168ef044dcb1d186f57ec1f194",
            "4de639a8a70a44e2a9fd72f15ba84447",
            "f50e1427e1d34a67860bdc4cecb3d793",
            "302b3997c5bb45559749d31b1f7a8f00",
            "9f72813f27d8436f8bb3fdfd719134dc"
          ]
        },
        "id": "rL0jQtxc-zgz",
        "outputId": "b1bf1a59-e218-4f1b-ce2b-206204451cb4"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading weights:   0%|          | 0/100 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f58d379415f04db89d017673046f3138"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "DistilBertForSequenceClassification LOAD REPORT from: distilbert-base-uncased\n",
            "Key                     | Status     | \n",
            "------------------------+------------+-\n",
            "vocab_transform.weight  | UNEXPECTED | \n",
            "vocab_layer_norm.bias   | UNEXPECTED | \n",
            "vocab_layer_norm.weight | UNEXPECTED | \n",
            "vocab_projector.bias    | UNEXPECTED | \n",
            "vocab_transform.bias    | UNEXPECTED | \n",
            "pre_classifier.weight   | MISSING    | \n",
            "classifier.bias         | MISSING    | \n",
            "pre_classifier.bias     | MISSING    | \n",
            "classifier.weight       | MISSING    | \n",
            "\n",
            "Notes:\n",
            "- UNEXPECTED\t:can be ignored when loading from different task/architecture; not ok if you expect identical arch.\n",
            "- MISSING\t:those params were newly initialized because missing from the checkpoint. Consider training on your downstream task.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model reloaded with eager attention successfully!\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x1000 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 25: Multi-Head Attention Heatmap\n",
        "# ============================================================\n",
        "\n",
        "def attention_heatmap(text, model, tokenizer, layer=-1, n_tokens=20):\n",
        "    \"\"\"Heatmap of all attention heads for [CLS] token.\"\"\"\n",
        "    model.eval()\n",
        "    inputs = tokenizer(text, return_tensors='pt', truncation=True,\n",
        "                       max_length=256, padding=True)\n",
        "    inputs = {k: v.to(model.device) for k, v in inputs.items()}\n",
        "\n",
        "    with torch.no_grad():\n",
        "        outputs = model(**inputs, output_attentions=True)\n",
        "\n",
        "    all_heads = outputs.attentions[layer][0, :, 0, :].cpu().numpy()\n",
        "    tokens = tokenizer.convert_ids_to_tokens(inputs['input_ids'][0])\n",
        "\n",
        "    valid = [t not in ['[CLS]', '[SEP]', '[PAD]'] for t in tokens]\n",
        "    valid_idx = [i for i, m in enumerate(valid) if m]\n",
        "    filt_tokens = [tokens[i] for i in valid_idx[:n_tokens]]\n",
        "    filt_attn   = all_heads[:, valid_idx[:n_tokens]]\n",
        "    return filt_tokens, filt_attn\n",
        "\n",
        "tokens, attn_matrix = attention_heatmap(pos_review[:400], model, tokenizer)\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(14, 5))\n",
        "im = ax.imshow(attn_matrix, cmap='YlOrRd', aspect='auto')\n",
        "ax.set_xticks(range(len(tokens)))\n",
        "ax.set_xticklabels(tokens, rotation=45, ha='right', fontsize=9)\n",
        "ax.set_yticks(range(attn_matrix.shape[0]))\n",
        "ax.set_yticklabels([f'Head {i}' for i in range(attn_matrix.shape[0])], fontsize=10)\n",
        "ax.set_title('DistilBERT Multi-Head Attention Heatmap (Last Layer)', fontsize=14)\n",
        "plt.colorbar(im, ax=ax, label='Attention Weight')\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "e0TpuLJMATQv",
        "outputId": "71b4f846-4ee3-4447-efdc-172b07dcab3a"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 26: Analyse Misclassified Reviews\n",
        "# ============================================================\n",
        "lr_wrong   = y_pred_lr != y_test\n",
        "bert_wrong = y_pred_bert != y_test_bert\n",
        "\n",
        "print(f\"Logistic Regression errors: {lr_wrong.sum():,} / {len(y_test):,} \"\n",
        "      f\"({lr_wrong.mean()*100:.1f}%)\")\n",
        "print(f\"DistilBERT errors:          {bert_wrong.sum():,} / {len(y_test_bert):,} \"\n",
        "      f\"({bert_wrong.mean()*100:.1f}%)\")\n",
        "\n",
        "# Show examples\n",
        "wrong_idx = np.where(lr_wrong)[0][:3]\n",
        "print(\"\\n\" + \"=\" * 60)\n",
        "print(\"Sample Misclassified Reviews (Logistic Regression)\")\n",
        "print(\"=\" * 60)\n",
        "for i in wrong_idx:\n",
        "    true_lbl = 'Positive' if y_test[i] == 1 else 'Negative'\n",
        "    pred_lbl = 'Positive' if y_pred_lr[i] == 1 else 'Negative'\n",
        "    print(f\"\\n[Review {i}] True: {true_lbl} | Predicted: {pred_lbl}\")\n",
        "    print(f\"  {test_df['text'].iloc[i][:200]}...\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oBKeEj9nAlHi",
        "outputId": "2bfa8bbf-9cee-43b0-e4a4-1eeb50b5ef00"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Logistic Regression errors: 2,759 / 25,000 (11.0%)\n",
            "DistilBERT errors:          551 / 5,000 (11.0%)\n",
            "\n",
            "============================================================\n",
            "Sample Misclassified Reviews (Logistic Regression)\n",
            "============================================================\n",
            "\n",
            "[Review 4] True: Negative | Predicted: Positive\n",
            "  First off let me say, If you haven't enjoyed a Van Damme movie since bloodsport, you probably will not like this movie. Most of these movies may not have the best plots or best actors but I enjoy thes...\n",
            "\n",
            "[Review 11] True: Negative | Predicted: Positive\n",
            "  Blind Date (Columbia Pictures, 1934), was a decent film, but I have a few issues with this film. First of all, I don't fault the actors in this film at all, but more or less, I have a problem with the...\n",
            "\n",
            "[Review 18] True: Negative | Predicted: Positive\n",
            "  Ben, (Rupert Grint), is a deeply unhappy adolescent, the son of his unhappily married parents. His father, (Nicholas Farrell), is a vicar and his mother, (Laura Linney), is ... well, let's just say sh...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 27: Accuracy by Review Length\n",
        "# ============================================================\n",
        "test_df['word_count'] = test_df['text'].apply(lambda x: len(x.split()))\n",
        "test_df['lr_correct'] = ~lr_wrong\n",
        "\n",
        "bins   = [0, 100, 200, 300, 500, 1000, 5000]\n",
        "labels = ['<100', '100-200', '200-300', '300-500', '500-1k', '1000+']\n",
        "test_df['length_bin'] = pd.cut(test_df['word_count'], bins=bins, labels=labels)\n",
        "\n",
        "acc_by_len = test_df.groupby('length_bin')['lr_correct'].mean()\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(10, 5))\n",
        "acc_by_len.plot(kind='bar', ax=ax, color='#3498db', edgecolor='black')\n",
        "for i, v in enumerate(acc_by_len.values):\n",
        "    ax.text(i, v + 0.003, f'{v:.3f}', ha='center', fontweight='bold')\n",
        "ax.set_title('Logistic Regression Accuracy by Review Length', fontsize=14)\n",
        "ax.set_ylabel('Accuracy')\n",
        "ax.set_xlabel('Review Word Count')\n",
        "ax.set_ylim(0.80, 1.0)\n",
        "plt.xticks(rotation=0)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "fitv2At3A3Bx",
        "outputId": "c6868ba1-3616-4b88-97b3-107243365feb"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# ============================================================\n",
        "# Cell 28: Final Summary\n",
        "# ============================================================\n",
        "print(\"=\" * 65)\n",
        "print(\"   EXPERIMENT COMPLETE - FINAL SUMMARY\")\n",
        "print(\"=\" * 65)\n",
        "print(f\"\\n{'Model':<25} {'Accuracy':>10} {'F1':>10} {'Train(s)':>10} {'Infer(s)':>10}\")\n",
        "print(\"-\" * 65)\n",
        "print(f\"{'TF-IDF + Log. Reg.':<25} {lr_accuracy:>10.4f} {lr_f1:>10.4f} \"\n",
        "      f\"{lr_train_time:>10.1f} {lr_inference_time:>10.4f}\")\n",
        "print(f\"{'DistilBERT':<25} {bert_accuracy:>10.4f} {bert_f1:>10.4f} \"\n",
        "      f\"{bert_train_time:>10.1f} {bert_inference_time:>10.2f}\")\n",
        "print(\"-\" * 65)\n",
        "improvement = (bert_f1 - lr_f1) / lr_f1 * 100\n",
        "print(f\"\\nDistilBERT F1 improvement over LR: +{improvement:.1f}%\")\n",
        "print(f\"DistilBERT training time ratio:    {bert_train_time/lr_train_time:.0f}x slower\")\n",
        "print(f\"DistilBERT inference time ratio:   {bert_inference_time/lr_inference_time:.0f}x slower\")\n",
        "print(\"\\nNotebook execution complete!\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q9ocSoJhBKsY",
        "outputId": "6a3ca0d1-752a-4927-dfa6-5d1e6d999dc9"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "=================================================================\n",
            "   EXPERIMENT COMPLETE - FINAL SUMMARY\n",
            "=================================================================\n",
            "\n",
            "Model                       Accuracy         F1   Train(s)   Infer(s)\n",
            "-----------------------------------------------------------------\n",
            "TF-IDF + Log. Reg.            0.8896     0.8901       21.3     0.0278\n",
            "DistilBERT                    0.8898     0.8943      133.7      10.55\n",
            "-----------------------------------------------------------------\n",
            "\n",
            "DistilBERT F1 improvement over LR: +0.5%\n",
            "DistilBERT training time ratio:    6x slower\n",
            "DistilBERT inference time ratio:   379x slower\n",
            "\n",
            "Notebook execution complete!\n"
          ]
        }
      ]
    }
  ]
}