{
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   "cell_type": "markdown",
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   "source": [
    "# Shapash Tutorial - NLP Explainability with TF-IDF Classification\n",
    "\n",
    "This tutorial shows how to build a text classification model with **TF-IDF + Logistic Regression** and explain its predictions with **Shapash**.\n",
    "\n",
    "You will learn how to:\n",
    "- prepare a simple NLP dataset,\n",
    "- train and evaluate a TF-IDF classifier,\n",
    "- inspect model behavior globally (important terms),\n",
    "- interpret a single prediction locally with Shapash."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "626bcfaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report, accuracy_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from shapash import SmartExplainer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffc31dfe",
   "metadata": {},
   "source": [
    "## 1. Build a small text classification dataset\n",
    "\n",
    "We create a synthetic but realistic binary dataset:\n",
    "- `satisfied`: positive customer feedback\n",
    "- `frustrated`: negative customer feedback\n",
    "\n",
    "We also add a subset of **mitigated / mixed-sentiment** messages (both pros and cons) to make some cases intentionally harder to classify."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "03f40cfc",
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>label</th>\n",
       "      <th>is_mitigated</th>\n",
       "      <th>label_name</th>\n",
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       "      <td>frustrated</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I had a smooth experience, delivery was perfect.</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>satisfied</td>\n",
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       "      <td>Support was available, however setup felt not ...</td>\n",
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       "                                                text  label  is_mitigated  \\\n",
       "0        Poor quality and frustrating customer care.      0             0   \n",
       "1              Poor quality and awful customer care.      0             0   \n",
       "2   I had a smooth experience, delivery was perfect.      1             0   \n",
       "3       I had a awful experience, delivery was late.      0             0   \n",
       "4  Support was available, however setup felt not ...      1             1   \n",
       "\n",
       "   label_name  \n",
       "0  frustrated  \n",
       "1  frustrated  \n",
       "2   satisfied  \n",
       "3  frustrated  \n",
       "4   satisfied  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rng = np.random.default_rng(42)\n",
    "\n",
    "positive_templates = [\n",
    "    \"The product is {adj} and the support team was {support}.\",\n",
    "    \"I had a {adj} experience, delivery was {delivery}.\",\n",
    "    \"Everything worked {adv}, setup was {setup}.\",\n",
    "    \"Great quality and {adj} customer care.\",\n",
    "]\n",
    "\n",
    "negative_templates = [\n",
    "    \"The product is {adj} and support was {support}.\",\n",
    "    \"I had a {adj} experience, delivery was {delivery}.\",\n",
    "    \"Nothing worked {adv}, setup was {setup}.\",\n",
    "    \"Poor quality and {adj} customer care.\",\n",
    "]\n",
    "\n",
    "mitigated_templates = [\n",
    "    \"The product is {pos_adj} but delivery was {neg_delivery}.\",\n",
    "    \"Support was {pos_support}, however setup felt {neg_setup}.\",\n",
    "    \"The experience was {mix_adj}: quality was good, but service was {neg_support}.\",\n",
    "    \"Delivery was {pos_delivery}, yet overall usage remained {neg_adj}.\",\n",
    "    \"I can see value in it, although some steps were {neg_setup}.\",\n",
    "]\n",
    "\n",
    "positive_words = {\n",
    "    \"adj\": [\"excellent\", \"great\", \"reliable\", \"smooth\"],\n",
    "    \"support\": [\"helpful\", \"responsive\", \"professional\"],\n",
    "    \"delivery\": [\"fast\", \"on time\", \"perfect\"],\n",
    "    \"adv\": [\"perfectly\", \"very well\", \"flawlessly\"],\n",
    "    \"setup\": [\"easy\", \"quick\", \"straightforward\"],\n",
    "}\n",
    "\n",
    "negative_words = {\n",
    "    \"adj\": [\"bad\", \"awful\", \"unreliable\", \"frustrating\"],\n",
    "    \"support\": [\"slow\", \"unhelpful\", \"absent\"],\n",
    "    \"delivery\": [\"late\", \"delayed\", \"messy\"],\n",
    "    \"adv\": [\"poorly\", \"badly\", \"inconsistently\"],\n",
    "    \"setup\": [\"confusing\", \"hard\", \"broken\"],\n",
    "}\n",
    "\n",
    "mitigated_words = {\n",
    "    \"pos_adj\": [\"useful\", \"promising\", \"decent\"],\n",
    "    \"pos_support\": [\"kind\", \"available\", \"responsive\"],\n",
    "    \"pos_delivery\": [\"on time\", \"acceptable\", \"fast\"],\n",
    "    \"mix_adj\": [\"mixed\", \"acceptable\", \"inconsistent\"],\n",
    "    \"neg_adj\": [\"frustrating\", \"rough\", \"unclear\"],\n",
    "    \"neg_support\": [\"slow\", \"inconsistent\", \"hard to reach\"],\n",
    "    \"neg_delivery\": [\"late\", \"unpredictable\", \"delayed\"],\n",
    "    \"neg_setup\": [\"confusing\", \"hard\", \"not straightforward\"],\n",
    "}\n",
    "\n",
    "label_map = {0: \"frustrated\", 1: \"satisfied\"}\n",
    "\n",
    "def sample_sentence(template, vocab):\n",
    "    return template.format(\n",
    "        adj=rng.choice(vocab[\"adj\"]),\n",
    "        support=rng.choice(vocab[\"support\"]),\n",
    "        delivery=rng.choice(vocab[\"delivery\"]),\n",
    "        adv=rng.choice(vocab[\"adv\"]),\n",
    "        setup=rng.choice(vocab[\"setup\"]),\n",
    "    )\n",
    "\n",
    "def sample_mitigated(template, vocab):\n",
    "    return template.format(\n",
    "        pos_adj=rng.choice(vocab[\"pos_adj\"]),\n",
    "        pos_support=rng.choice(vocab[\"pos_support\"]),\n",
    "        pos_delivery=rng.choice(vocab[\"pos_delivery\"]),\n",
    "        mix_adj=rng.choice(vocab[\"mix_adj\"]),\n",
    "        neg_adj=rng.choice(vocab[\"neg_adj\"]),\n",
    "        neg_support=rng.choice(vocab[\"neg_support\"]),\n",
    "        neg_delivery=rng.choice(vocab[\"neg_delivery\"]),\n",
    "        neg_setup=rng.choice(vocab[\"neg_setup\"]),\n",
    "    )\n",
    "\n",
    "n_samples_per_class = 700\n",
    "n_mitigated = 350\n",
    "texts = []\n",
    "labels = []\n",
    "is_mitigated = []\n",
    "\n",
    "for _ in range(n_samples_per_class):\n",
    "    texts.append(sample_sentence(rng.choice(positive_templates), positive_words))\n",
    "    labels.append(1)\n",
    "    is_mitigated.append(0)\n",
    "\n",
    "for _ in range(n_samples_per_class):\n",
    "    texts.append(sample_sentence(rng.choice(negative_templates), negative_words))\n",
    "    labels.append(0)\n",
    "    is_mitigated.append(0)\n",
    "\n",
    "# Add mixed-sentiment feedback with balanced labels to create harder boundary cases.\n",
    "for i in range(n_mitigated):\n",
    "    texts.append(sample_mitigated(rng.choice(mitigated_templates), mitigated_words))\n",
    "    labels.append(1 if i < n_mitigated // 2 else 0)\n",
    "    is_mitigated.append(1)\n",
    "\n",
    "nlp_df = pd.DataFrame({\"text\": texts, \"label\": labels, \"is_mitigated\": is_mitigated})\n",
    "nlp_df[\"label_name\"] = nlp_df[\"label\"].map(label_map)\n",
    "nlp_df = nlp_df.sample(frac=1.0, random_state=42).reset_index(drop=True)\n",
    "nlp_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ed7e860",
   "metadata": {},
   "source": [
    "## 2. Train a TF-IDF + Logistic Regression classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "541e510a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.900\n",
      "\n",
      "Classification report:\n",
      "\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "  frustrated       0.86      0.95      0.90       219\n",
      "   satisfied       0.94      0.85      0.89       219\n",
      "\n",
      "    accuracy                           0.90       438\n",
      "   macro avg       0.90      0.90      0.90       438\n",
      "weighted avg       0.90      0.90      0.90       438\n",
      "\n"
     ]
    }
   ],
   "source": [
    "X_train_text, X_test_text, y_train, y_test = train_test_split(\n",
    "    nlp_df[\"text\"],\n",
    "    nlp_df[\"label\"],\n",
    "    test_size=0.25,\n",
    "    random_state=42,\n",
    "    stratify=nlp_df[\"label\"],\n",
    ")\n",
    "\n",
    "vectorizer = TfidfVectorizer(\n",
    "    lowercase=True,\n",
    "    ngram_range=(1, 2),\n",
    "    min_df=2,\n",
    "    max_features=800,\n",
    ")\n",
    "\n",
    "X_train_tfidf = vectorizer.fit_transform(X_train_text)\n",
    "X_test_tfidf = vectorizer.transform(X_test_text)\n",
    "feature_names = vectorizer.get_feature_names_out()\n",
    "\n",
    "# Fit with named columns to avoid sklearn feature-name warnings downstream.\n",
    "X_train_tfidf_df = pd.DataFrame(\n",
    "    X_train_tfidf.toarray(),\n",
    "    columns=feature_names,\n",
    "    index=X_train_text.index,\n",
    ")\n",
    "X_test_tfidf_df = pd.DataFrame(\n",
    "    X_test_tfidf.toarray(),\n",
    "    columns=feature_names,\n",
    "    index=X_test_text.index,\n",
    ")\n",
    "\n",
    "clf = LogisticRegression(max_iter=2000, random_state=42)\n",
    "clf.fit(X_train_tfidf_df, y_train)\n",
    "\n",
    "y_pred = clf.predict(X_test_tfidf_df)\n",
    "\n",
    "print(f\"Accuracy: {accuracy_score(y_test, y_pred):.3f}\\n\")\n",
    "print(\"Classification report:\\n\")\n",
    "print(\n",
    "    classification_report(\n",
    "        y_test,\n",
    "        y_pred,\n",
    "        labels=[0, 1],\n",
    "        target_names=[label_map[0], label_map[1]],\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06895858",
   "metadata": {},
   "source": [
    "## 3. Quick global interpretability from logistic coefficients\n",
    "\n",
    "Before Shapash, we can inspect the strongest positive/negative TF-IDF terms from the linear model coefficients."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ca64e15c",
   "metadata": {},
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      "Top terms pushing toward class: frustrated\n"
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>term</th>\n",
       "      <th>coef</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>great</td>\n",
       "      <td>3.388834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>great quality</td>\n",
       "      <td>2.243535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>everything worked</td>\n",
       "      <td>2.027965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>everything</td>\n",
       "      <td>2.027965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>excellent</td>\n",
       "      <td>1.932006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>smooth</td>\n",
       "      <td>1.884922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>reliable</td>\n",
       "      <td>1.803459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>team</td>\n",
       "      <td>1.480375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>and the</td>\n",
       "      <td>1.480375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>support team</td>\n",
       "      <td>1.480375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>team was</td>\n",
       "      <td>1.480375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>the support</td>\n",
       "      <td>1.480375</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 term      coef\n",
       "0               great  3.388834\n",
       "1       great quality  2.243535\n",
       "2   everything worked  2.027965\n",
       "3          everything  2.027965\n",
       "4           excellent  1.932006\n",
       "5              smooth  1.884922\n",
       "6            reliable  1.803459\n",
       "7                team  1.480375\n",
       "8             and the  1.480375\n",
       "9        support team  1.480375\n",
       "10           team was  1.480375\n",
       "11        the support  1.480375"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature_names = vectorizer.get_feature_names_out()\n",
    "coef = clf.coef_[0]\n",
    "\n",
    "coef_df = pd.DataFrame({\"term\": feature_names, \"coef\": coef}).sort_values(\"coef\")\n",
    "\n",
    "top_negative = coef_df.head(12).reset_index(drop=True)\n",
    "top_positive = coef_df.tail(12).sort_values(\"coef\", ascending=False).reset_index(drop=True)\n",
    "\n",
    "print(\"Top terms pushing toward class:\", label_map[clf.classes_[0]])\n",
    "display(top_negative)\n",
    "print(\"Top terms pushing toward class:\", label_map[clf.classes_[1]])\n",
    "display(top_positive)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89a268e1",
   "metadata": {},
   "source": [
    "## 4. Explain predictions with Shapash\n",
    "\n",
    "Shapash expects tabular inputs. For TF-IDF, each term is a feature, so we convert the sparse matrix into a DataFrame with term names as columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4729a9d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Shap explainer type - shap.explainers.PermutationExplainer()\n"
     ]
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "proba_values = pd.DataFrame(\n",
    "    clf.predict_proba(X_test_tfidf_df)[:, 1],\n",
    "    columns=[f\"proba_{label_map[clf.classes_[1]]}\"],\n",
    "    index=X_test_tfidf_df.index,\n",
    ")\n",
    "\n",
    "predicted_code = pd.Series(\n",
    "    clf.predict(X_test_tfidf_df),\n",
    "    index=X_test_tfidf_df.index,\n",
    "    name=\"predicted_code\",\n",
    ")\n",
    "predicted_label = predicted_code.map(label_map).rename(\"predicted_label\")\n",
    "\n",
    "y_pred_numeric = predicted_code.astype(int).to_frame(\"y_pred\")\n",
    "y_target_numeric = y_test.astype(int).to_frame(\"y_target\")\n",
    "\n",
    "additional_data = pd.DataFrame({\n",
    "    \"raw_text\": X_test_text,\n",
    "    \"is_mitigated\": nlp_df.loc[X_test_text.index, \"is_mitigated\"],\n",
    "    \"true_label\": y_test.map(label_map),\n",
    "    \"predicted_label\": predicted_label,\n",
    "})\n",
    "\n",
    "xpl = SmartExplainer(\n",
    "    model=clf,\n",
    "    label_dict={0: \"frustrated\", 1: \"satisfied\"},\n",
    "    title_story=\"TF-IDF NLP classification explainability\",\n",
    ")\n",
    "xpl.compile(\n",
    "    x=X_test_tfidf_df,\n",
    "    y_pred=y_pred_numeric,\n",
    "    y_target=y_target_numeric,\n",
    "    additional_data=additional_data,\n",
    "    columns_order=[\"raw_text\",\n",
    "                    \"true_label\",\n",
    "                    \"predicted_label\",\n",
    "                    ]+X_test_tfidf_df.columns.tolist()\n",
    ")\n",
    "\n",
    "xpl.plot.features_importance(max_features=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e0c468e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cw3UybtPGnlq3USsI+TPjy52cFnNaY/mzl5sbdiBnrz4iIAIiEGkCEoSRJq75REAE8kXg5ZdfNlkTbfP1bT2tJTbhTG6C0NcHeyt6Almk88M+45W4ttwSVXDMcFgIndYq73UGEuMWSlIZuvmdc845gWAxfZxJS5jF8bXXXvMk+vE3SCQEoS8Rz0ypjI0MtPn6IsH7WecXCxQQeSUaofWZYrlu3bpGpOzdu9eIPLbcahPa5DVOIeJL8DnXZ38+ghWE/upk5iYImT2WZ++r2YQwTNTDtURCENJtmW6vuQn19evXe7Kl2kRGVhD6E3zWvVeCMNCfIvUTARGIJQIShLF0GlqLCIhAngS8kztMnz49R7ydddfjYLkJQmfclZ3YGQtohY2/RfGDu3UZZeyiM6MjLU1M788PvcxeyTincAlCxrJZlzZfQsSf9c72DUUQ8lnLlS6MdAfNrTE5DN0AaQ2ktdAm1uEHZjLhn3yfsXjWxdd5HoG4jDLWk8lKvJt1ifSVZdSXu6tzLrqM2jhGf/tjWZAaNWrkuv9JkyZ5rGlMeMKyBLk1frHBOEU2ZmllnJuNt6S4tG613mM8+uijJv7V6ZpqBSFFLt/3bqEKQv5skKl3y00QOr8YcD7H+8D32HxZCH190eNkarOM8vlgYgjpAm6zq/pL9uP8gsCenQRhnr+a1UEERKAQE5AgLMSHp6WLgBsJOF2+uH8bq2ZZON29+FpugpC137ytXt4JV+giyqyTttF6wBpszrIKjB1kxkHb6ApHq4jNLOm0auZmIfT3AT7c5xyqIKQAo7urv5g2rpNukqVKlTJuvIyzcrr4+irO7hRCjN+0WSEDcWH0ZbGiO6+tPRioIGRSENb/Y7PWKm/mtADTgsfkQpUqVfLpauh8xmllys1KZp9xfqHAchXHHXecyTBKF10KZloJvRuttnQLZfIaxrbazJmxJAj91bpkRk/WQmRjtlQmdnLWbuSXKPw5czbWQ2RZB7ZQBSHHtdlrfX2ZxLGdccrMZky3aQnCcP8W0ngiIAKxRECCMJZOQ2sRARHIkwBTwjNG0DYKLMY1UfhRjDzzzDPZyk/kJgh9ZUz0FpzOWne0drVs2dJMTRdAlh9gohVvEep8hkll+IHeWsi8XdWcddRY1JulBeg+6Cu2KU84AXYIVRAOHDjQlNpg85VYxSnumL2S8W0sM2Gzc/qKvaKIIXM2657HvztZW8Fgt2eFqa+Mjk532kAFIce1mTSZBZYuyd5JQ2yMGPv6siz7Qu/8coH18yjwfDUmaqFVkM0ptp21DH3FytIiTSHJ1rt3b8/PRSiCMDfelk0oFkKuzTvTKV9z7s0mbuGXDTbDr/fPJhPo0K3UlsxwCkJn9lun1c9XllHnPn3FubKIPV9nbCt/xhmry0RIEoQB/nJRNxEQgUJJQIKwUB6bFi0C7iYQaNkEUgpWEHqXieAYtDgxayg/HDoLUlPM0DJD0eesTUfRx3ISrOPHD6veRaydySyse6M9Uca40RrlK5tjuE49VEHo3CddYiliuF5aqijGKf5swh1r5WJJCZaW8BZ85MxkI7asAt93xj+SGUs3sFFg80sAfkCniymtrzZxR48ePTzxXszkSvdK24IRhE4xS1FGgVWhQgXQejh//nywRiUbLV5Tp07NkS3V19lwD6zJaL8MoDWP94JJa2g9ZmIdZrTkHWHjveG/yZbNKV7o6sovPmg5ZGOCG+6VY3NNFOply5Y174UiCHPjnV9ByHOjNZ61AXlXWHuS1j423hm6sLKxDAt/ntiY0ZQWY+6X2Wvpmu10yXYKQmfBen6pcPLJJxtLLs/OVx1C55cQPFe6P/M8eCd5X3l32WxdUv5dgjBcv300jgiIQCwSkCCMxVPRmkRABHIlwIQbtIzYrI/OzvzgvGnTJo8wCVYQcixaGeg66Cwo770gZvOkKyhFHxuFCeupBdKcFhO6vPqynIVazDyQ+UMVhBzbaY3hvylGyMkKQb5GK23r1q3NUpjcx37gt/3pckmrKhvFgn3WaVmllZRF2J3NjkvXTWf9Ru892zGDEYQc48UXX/TEevLfjHOkRdp5D5zFygNhTUsTC587+fh7zletQWcJBD5HoZSWlub5koEWTT5XrVo1z7ChCMLceOdXENqFUejSvdqy4M8qY/Sc1lieMa2htlEkW/68a7ZovFMQ/vnnn9nqAvJZfglBMelLEHJ+uhvbsTgH18YvNWxz3kW+JkEYyG1XHxEQgcJKQIKwsJ6c1i0CLifAb/P54ZwfDOlqxg+XjANjUhDWN7Mf7pxJLWiZoxujbb4+gNv3+GGRFjBbP9C+TrHBWD+6lTndOvlBly6VNnmM7U830AceeMBj7eLr3vXfKD6d5Sk4B4WXd+22cB05rV+Mn/IX35XXPMwaSmseP4g7G8UKa/g54yn5PuO2aN3ytpTSMsPzYIIc7pcfyr0zyHKtVkAwsYq1AFJo0r3WyY3zsz/H4DlwLbwPbLa+ZF6F4ulySiuT91p5jygw8yrp4YsdLat0i2VCE19fMvAuUTTTquWrsXYeeVt3SfbhHaElk3fdGePK92zSmLyygnrHrNJK6ou3LaFx7733GnHr3WxSGWfWUrrVssZnixYtjBWZgsq5d+6Z1sGiRYtmG47WcT5rYwXtm7wrjDm0CYicgpB9KCxZz9DOwTvFLxSsIOTPJpM82bZ//34zj3eJCCYUopXS273XZif1V2eQ5Vu4BtUhzOu3h94XARGIRQIShLF4KlqTCIiAXwI7d+40WRVt8XebvMT5gDPLqL9abIEiZkwRxeH27dtNohTOm1t8H+ursb+t4VekSJE8p+IcrF/IOZjBkhk6C0OjKKcg44d4WqgoaGwiHe/10wLF4vR0C6SFkP2tdTWvvZILXQ3pwuld2J5ikWsINzeeI1066aLKtXonOMlrzb7eZ91JrpcMyI7j0sLnvSd/Y9MyzjXRNbRmzZqhLCGgZ3LjHdAAPjpx76tWrTLvULjnFSPL+2IFcCD9OS5/jijk+UWKdZ/Na732Z4/nQrHvHTua1/N6XwREQATigYAEYTycovYgAi4iwA//1kpgt02rDkUGP9yxlhndMG1zxii5CJO2KgIiIAIiIAIiIAIBEZAgDAiTOomACMQKAYo+Fuz2dr2jFYEWKO/XbXKTWFm/1iECIiACIiACIiACsURAgjCWTkNrEQERCIiAdyygv4dYlJtxUmoiIAIiIAIiIAIiIAK+CUgQ6maIgAgUSgLMJMrEISwibbMFciO0FNatW9dkoWSCCDUREAEREAEREAEREAH/BCQIdTtEQATiggATmzBjob+kJnGxSW1CBERABERABERABMJMQIIwzEA1nAiIgAiIgAiIgAiIgAiIgAgUFgIShIXlpLROERABERABERABERABERABEQgzAQnCMAPVcCIgAiIQbQJpaWlYt25djmWwxlrVqlVVay3aB+RjftbpW7FihXnnuOOOC7iOnh1q8+bNWLZsmXGZZk3G0qVLm7qWrKPIuNr8NtYQzMjIMLUmWY9TTQREQAREIH4ISBDGz1lqJyIgAiJgCPz888/o1KmTXxrVq1dHv379cNppp4lYFAhkZmZi5syZWLp0KZ588kmzgo0bN6JFixbm7/3798eVV14Z8MpmzZqFHj16ePpTADZo0MAkXapVqxamTJkS8Fj+OjZq1Mi8xXt1//3353s8DSACIiACIhA7BCQIY+cstBIREAERCAsBKwibN2+Oa6+91jPm1q1b8d133+Grr74yr/HP8uXLh2VODRI4gWeffdZkx2U9zf/7v//LtyBkeZVvvvnGjHPzzTfjxBNPxF9//SVBGPiRqKcIiIAIuJqABKGrj1+bFwERiEcCVhA+/PDDuOeee3Js8cUXXzRigVbCpk2bZnv/0KFDOHjwIEqUKOEXTXp6unFNpDuiv3bkyBHjYkg31dz67Nu3z7g35tboTsmx/K2Ja2aW2VKlSuU6zt69e/OcK5D7QJdcWvk4n7+stlwT+7FPcnJytmF5JkuWLMkmCNl/586dph95OLlxrj179pgsur54tmrVCv/++y+uueYavPLKK2YM9icTzl2uXLkc2wqEhbOPLISB3Az1EQEREIHCSUCCsHCem1YtAiIgAn4J5CUIJ02ahFdffRWPP/442rdvb8ahoKCr4vfff2/+TVfDRx55BFdccYVnHloXX3vtNdPX9uncubPHvZGWLwoRWqg4B8Xe+eefj44dO8IKCj63ZcsWvPnmm8ZKxkYr5S233IK7777biB42WjZvuukm40pJl0iORVfIXr164cwzzzR91q9fj+effx6LFy/2jHPrrbcaEWxFGEXNG2+8gS+++MKMwblYo5Jz2T7vvvsuxo0bZ/bmr3YlBduQIUPw0UcfmXHYKleujHbt2uH222/3MPrtt9+M0KaFzraGDRuCIrxGjRp46KGHsHDhQs97XM/rr78OuvG2adPGvN67d280btzYcOJ71qLL90455RQzxsUXX4yUlBRzfjt27Mg23gsvvGCYTJ06FSeccAJGjBhh3uceRo0aZc6Gz5QsWdJ8IcB74BTln332Gd566y0zP9dHF1HeFza5jOoXjwiIgAjEHwEJwvg7U+1IBETA5QT8CUIKAiYe6d69u/mw//777+P0008HXUlpXWKjCONrkydPhhU3FA1MUHL11VcboUhBRcvYxIkTjTjkn/Xq1TMCkqKRjTFtZcuWxaBBg0BRNn78eNSsWRP79+83IorPdejQASeffDLmzJmDr7/+OpuFywpICpKWLVuCFkeulyKGApGWMoohCq8HHngAVapUwZdffmnEFuemwKRl8a677sKff/5pBBbF7U8//WSEKIXjU089ZdZKcfree+9h+PDhOOecc3zeHgrBvn37mvfIgMLXCjG6fdL9k0KR/MjWu1Hwffrpp8alc/Xq1dneHjp0qGHjHUPIfXCvbORrk86QwYcffmgE3o033phjrgEDBmDBggU5XEatZdj7AYrMMWPGIDEx0YhPy8UXCAlCl/9y0fZFQATikoAEYVweqzYlAiLgZgLOpDLOGEGnJalr165GkLHRokWBQcFD0cdGd8OrrrrKWI5oXaPQomXqiSeeMIKO7ffff8eECRPQunVrYwG0gvC5557zCJU1a9YYkUSxQ2se5+F8znE4lnWjpDBhshsrCJl8hZkt2Wgto7AcO3assRbSSuaMw6PwfPnll3HeeeeZNdlkKxRhTz/9tOdK0CI2b948Y0GjEAukWSHXpEkTMwfdZfv06WNEJ62gzZo1w6JFizBy5EhjuaS4pEilpY1Clm3u3LmmP115KWT5HFnxjCi4nYKQVlB7FowRpBVy9+7dpj8FKd+jcE9NTTUCnWfLmNHHHnvMnBktes6kMhST1gLJ/l26dMGPP/4I3gM2WkcpmK37KUUnhSozllLUcyw2CcJAbov6iIAIiEDhIiBBWLjOS6sVAREQgTwJWEFIqxItcIy/o2WMooFiYtiwYUas2EahQMFAV0Xrssn3aDXj6xRlSUlJHtdQiqJLLrkEF1xwgSljYZsVhHQ5dL5OSx4FJq1sFGYcj+KoTJkynmfpsklL2zPPPOMRmBSF1t2RHSngXnrpJfMa36NIovXvjDPOANd00UUXoW7dup64voEDBxrxeOedd+Kkk07yzEXrGa2JVgTlCRRAt27djCXTNs5FBpdffnk2lnyfsYC0rv7xxx/G4mYtgpyTJRt8xRB6ZxnluPzPuqdSoPHfF154ofmT/7bthhtuwIYNG4zw7tmzp3nZWgNtllFaJ+lKykYLIIUeG/fFOSjyKVQpstmuv/56T39rHebrEoSB3Bb1EQEREIHCRUCCsHCdl1YrAiIgAnkS8OUySkFGV1Fmo6QbJcWbbc74Pl+DU1SdeuqpRuQwzpAizDYKFAoNWvE45j///GMsis5ms2D+8ssvxr2T4pR/dza6stJiaQUH10QrmHXTZF+6ejJO0bp2btu2zVgbnaNGJf4AACAASURBVEKNrpl8pn79+qakA11R/TVvK2VuYCm4HnzwQSO8vBsthbQQUnhzPdaa5t1vxowZqFSpUkCCkGUnKFxp8fNuFIO0OjI+kC0QQUhmTnHtPSatwZyLQpDNaUGmayqtmWwShHn++KmDCIiACBQ6AhKEhe7ItGAREAERyJ2AvxhCxr0xdo4xbs4Mo3QTpLiikPOVxZLWQcYMMtsl/2RfuhtOnz7duJLSPZOWPQpCCjtnEhSulBZCukoy1tCWXKAwdWYNpUikWLTiioLQmTXTlyDka1wT4xIpMOfPn29iH5nshXuh2yQTqLzzzjvGvdK7MWaO/wXaKIyYrIV75n9WGFOE0npJ4Tx48GAzHJPt0Gr5999/e6x2dGGtUKGCRxAyrpHumGz+6hDSDZZzkTf3Z+MTndbAQAThBx98YMQ8G62I1apVy7ZtrqtOnToeC6FzfFo677jjDgnCQC+K+omACIhAISMgQVjIDkzLFQEREIG8COSWZdQKL1qZaMmiELBunE4XSpaeoCWR7oSM6/v222+NkLAJVLgGihXG8DGLJrNXWpdRGwfIPjaG0AoMvkcRRPdUChnbrIsjYwxp+cpLEFL0UWhSzDIm0DbrRsr10qLIMgx0ibUF4NmP+6QLJWPk6G6aV+M+OQfFLi1o3slo+DytlBSzFH2MCaRbLMUm4yanTZtmprCutMzaSQHLjKZ036VY9o4hpMstx2OsoRXvFL8UZhSiTARDN1u2QAQhhey9995r+vNPWvooQnnG5E1GzhhC7oHxmrwnTFJj9yALYV63Re+LgAiIQOEjIEFY+M5MKxYBERCBXAnkVXaCSVGmTJlikpAwJm/VqlUmKyc//DN5CpO6UNDQ3dK6VbKmHi12TFjCkg20MLEPRZetd2gFIcUa3Q9Z1oEWM8Yu2iyjHIeZMfkaRRZj+2j54vsUJBQ/tEjmJQiZDdS6olKk0EWUliy6RtK9kWKP9RJpEaWbJ9dOix1FHWMjncloKGZp4aMotSUtvAEzWczbb79tXmZCG2ZQZS1BNsbfkRNdQm0MH+M3aVF0ZhSlgKOQc2YP5fO03NEl15lUhmtlEh8KeDaKbjKzJT8o0tgnUEHIflaI8u88IwpdW4qD8Z2sV6gso/rlIgIiIALuIyBB6L4z145FQATinIC1BvkrTM9sldddd50RAxQ5zMrJZyiInDUGGcN33333eer10epG90srhIiRFivOQ/FnBSHj0azbKAUQYxcpaGzjHBSlNo6QQpTilAlOihQpYrrlJgj/97//4eyzzzbWR2bxdMYQ0g2T1kebXXXTpk3G0mbLYXAuxvtRRDLBCxtF6+jRo4217txzz/V5OyjuGINH8WrLP7AjLYYUgxSIjCGkULM1DzkXmdgafhSw5EXWzPJpE8ZwvRS43mUnWGeQQpTutc5SFoxltNY+rsFmBqWop9hksxZXileKPTYKZK6F1lHbmByHQtFpKXWW2GA/ur8yKytjSGUhjPNfHtqeCIiAKwlIELry2LVpERABEfBNYNeuXSYmz5kl1LsnYwgpLmglpDXPNoqfX3/91SRDoeikQGISFX+N1kJavY477rigYvm8x+M4rKXIcZxZUp39uF72YbxfMHGDvtbOUg8Uc7Sy+ZqP+6aAy21f7LN582Yzhq+4Te95aeWkWGbyHifzUO4xXVQplHk2/uamAGYfnjHFvpoIiIAIiED8EpAgjN+z1c5EQAREIKIEnIIwohNrMhEQAREQAREQgZAJSBCGjE4PioAIiIAIOAlIEOo+iIAIiIAIiEDhIyBBWPjOTCsWAREQgZgkwBgzuora4uYxuUgtSgREQAREQAREIBsBCUJdCBEQAREQAREQAREQAREQARFwKQEJQpcevLYtAiIgAiIgAiIgAiIgAiIgAhKEugMiIAIiIAIiIAIiIAIiIAIi4FICEoQuPXhtWwREQAREQAREQAREQAREQAQkCHUHREAEREAEREAEREAEREAERMClBCQIXXrw2rYIiIAIiIAIiIAIiIAIiIAISBDqDoiACIiACIiACIiACIiACIiASwlIELr04LVtERABERABERABERABERABEZAg1B0QAREQAREQAREQAREQAREQAZcSkCB06cFr2yIgAiIgAiIgAiIgAiIgAiIgQag7IAIiIAIiIAIiIAIiIAIiIAIuJSBB6NKD17ZFQAREQAREQAREQAREQAREQIJQd0AEREAEREAEREAEREAEREAEXEpAgtClB69ti4AIiIAIiIAIiIAIiIAIiIAEoe6ACIiACIiACIiACIiACIiACLiUgAShSw9e2xYBERABERABERABERABERABCULdAREQAREQAREQAREQAREQARFwKQEJQpcevLYtAiIgAiIgAiIgAiIgAiIgAhKEugMiIAIiIAIiIAIiIAIiIAIi4FICEoQuPXhtWwREQAREQAREQAREQAREQAQkCHUHREAEREAEREAEREAEREAERMClBCQIXXrw2rYIiIAIiIAIiIAIiIAIiIAISBDqDoiACIiACIiACIiACIiACIiASwlIELr04LVtERABERABERABERABERABEZAg1B0QAREQAREQAREQAREQAREQAZcSkCB06cFr2yIgAiIgAiIgAiIgAiIgAiIgQag7IAIiIAIiIAIiIAIiIAIiIAIuJSBB6NKD17ZFQAREQAREQAREQAREQAREQIJQd0AEREAEREAEREAEREAEREAEXEpAgtClB69ti4AIiIAIiIAIiIAIiIAIiIAEoe6ACIiACIiACIiACIiACIiACLiUgAShSw9e2xYBERABERABERABERABERABCULdAREQAREQAREQAREQAREQARFwKQEJQpcevLYtAiIgAiIgAiIgAiIgAiIgAhKEugMiIAIiIAIiIAIiIAIiIAIi4FICEoQuPXhtWwREQAREQAREQAREQAREQAQkCHUHREAEREAEREAEREAEREAERMClBCQIXXrw2rYIiIAIiIAIiIAIiIA7CcyZMweHDx82my9SpAjq1KmD2rVrFwiMuXPn4p133sGoUaPMXIsWLcK///6Lli1bFsh8/gZ9++23kZKSgueff97vvEuWLMHWrVvN+4mJiahcuTJOO+008/f8tP379+P+++9Hp06dcMkll+RnqAJ5VoKwQLBqUBEQAREQAREQAREQARGITQJNmzbNsbBTTjkF/fv3R4kSJcK66MmTJ4NibNq0aShevDh69+6N7777DrNmzcpznh9++AHPPvusEZS1atXKs39uHXr27IkNGzbg/fff99utS5cuWLZsWbb3y5Qpg4EDB+ZLMO/ZswetW7fGo48+iuuvvz5f+yiIhyUIC4KqxhQBERABERABERABERCBGCVAQXjdddfhscceQ1paGj799FNjwbvmmmvwxBNPhHXV3oJw3759yMjIQLly5fKch8KRAnLkyJH5EmScKFBBuGPHDowZMwYHDx401sznnnsOlSpVwrhx4/Jcr78OEoQho9ODIiACIiACIiACIiACIiAC4SbgFIR27Pbt2yM5OdlY0CZMmICff/4ZDz74oBFCa9euxUMPPYRzzjkH8+fPNxa7jRs3olSpUuBYdIekOyjb8uXLMWDAAKxevdq8Vr58eWzZssVjIfzggw9Ayx+tbmxHjhwx833++efYtm0bKlSogEsvvRStWrUyc1JMUZAVLVrUuLa+8MIL5pnRo0fjs88+w86dO80zd999txG0ts2cOdOsMzU11YhPCrxjjjkmTwuhFYR2nNdffx1ffvmlEc1Tp071y+WTTz7B+PHjzXxcD3necMMNZhgrCJs1a2ZYkhEtsXfccYexHLJt3rzZiFb+ybXSmnrFFVegc+fOHrbhvgd2PFkIC4qsxhUBERABERABERABERCBGCTgLQgpsG6++WYTMzds2DAj6GbMmGFWXr16dSPIbrnlFqSnp+Pll19Go0aNjFhZunSp6Xfbbbfh3nvvNcKPQogxdxRDVapUwfTp042rpnUZHTRoEGbPnm3+zWbnOumkk4y4pFiiOykti4MHD8a8efPMWBRZ/O/aa681z7AP+zdo0AAUf4z/o8vrWWedZZ7hOunuedNNNxmB9fHHH5vn83IZ9RaEFKDffPMNvvjiC3Dtvrhw32+88QZOOOEEsyaubdWqVR4XUSsIud9zzz3XCFvunzztmikUOf55552HihUrYsWKFUaA8lwYe1iQTYKwIOlqbBEQAREQAREQAREQARGIMQIULZdffrkRcbTK0UK3cOFCPPLII0Z8WcFFQcbYQtso/GhtGz58uOe1rl27Yv369fjwww9hrWnvvfeeEZJs3i6jTkHIBC7t2rXDxRdfnC3ZCwUWxakvl9Ht27ejTZs2uPXWW3HfffeZOZggp3nz5mZPTz/9tBGldIXl3DYhTKAuo1wTxd2uXbuMEKSF9MILL8SLL77olwutfMWKFTMcnawoRLkGKwg7duxo1s7G9TGxjvfe+d7evXtBYdqrVy9jSaRIL8gmQViQdDW2CIiACIiACIiACLidwNrJwL+fZFFo7D+hh9sxRXL/3kllKJrovkghxUZBSDFEC5VtFDcUXXQDpeulbXSRpIWRVjFasvhvikPbchOENmlMjx49cOWVV+ZA4EsQ/vjjj3jmmWeMu6ozAQ6FLa2MFLG0ItKCSXFoW6CC0DupzGWXXQaKXs7niwutfC1atMgRf2ktn3RrPXDggM+kMm3btjVWzBEjRuDQoUNGaNM9lWPaRmFNgV2QTYKwIOlqbBEQAREQAREQARFwO4HFvYCVY4HEYsAVU4Byp7mdSNT3T0F4/vnnGwHIGD9a45ylFXwJH1qtGNd30UUXGbHlbAkJCSbuj+OVLl06mwUxN0FoXTvp3sn1eDdfgpAxjC+99JIRsN6ZR7mXE0880Vje6OLK2MZgBeGmTZuMNbBkyZI47rjjssXv5caFrqkPPPCAZ74hQ4YYQc3YQ4o9X1lGKQjLli1reNFySvFIyydFaNWqVdGnTx8TUyhBGPUfGS1ABERABERABERABEQgZAL/TgH+GAjs2wQ07AXUvTPkofRgeAj4SirjHNmX8OH7tBCeeuqpxjXU2TIzM0FRyAylNq7QCszcBOGaNWuM2yfHpRXONloc+fzixYvRvXt3UFzR+sfGGoZ0vXS6X9rn7DqYvIX933zzTc+YtBYyEU6wMYSBcqGAY6ZW2+666y4TU8lkOb6yjNKSShdca8n0Jaa5ZgpUCcLw3HuNIgIiIAIiIAIiIAIiEA0CKd8Afw0Bti4Ejr8NaNQ3GqvQnA4CoQrCsWPHGkFFwcVYQ5aPoGijeymtXEy4QjFZv359Y+mi4OMzdDf1l1SGVjVmJOV4HJfJWJgdlNlIOT7LY9BixvF2795tMp3aeoG0APLfjPuj5TApKckIS1ocaX3keI0bNzaxiBRmtPgVhCCkyyfdZLnWq666yiTNYTIda6W0gpCxiB06dDDrZWmLlStXmhqNdevW9cQnduvWzSTx4X44hlxG9aMrAiIgAiIgAiIgAiJQuAlQENJKuOYjoGw9oNlXhXs/cbB6CkIWSGehdF+NFsAFCxZkiyFkP1vugclT+HfbKLwoZPga3RwpxtgYb0ixw7g8KwgZ4/fVV195sowy9u+VV17B77//7hmPVkgmdmGjdWzSpElGVNIKRyHFhC8sW/Htt996nuFcLNFAayMTslAYMrspGwUWLY62rIa/I6TQ9M4y6uzrjwuF62uvvYa5c+d6utPyR4spy2VYQchSEs74wMcff9zEO7IxMQ+TyNg1c6/kyWQ1TstjQVw/xRAWBFWNKQIiIAIiIAIiIAIikEWAgnDLf1bC5FJZgrBkDdEpxATomkkrF/889thjs8UfclusDUhrXo0aNXK852/bFEock+NRODkbs4jyPQo7ijrb+HpKSorpz5IS3o3xd3RlZfmLSLT9+/cbF89q1aplS3jjnJtZUiloa9as6bO+IN1aKV4pCCPVJAgjRVrziIAIiIAIiIAIiIAbCVhBuP5zYP8moNGrQO2sYtxqIiAC0ScgQRj9M9AKREAEREAEREAERCB+CVhBmLpEcYTxe8raWSEmIEFYiA9PSxcBERABERABERCBmCdgBWH61qw4whJVgesXxvyytUARcAsBCUK3nLT2KQIiIAIiIAIiIALRIGAFIedeMRrAYeDCIUC1q6KxGs0pAiLgRUCCUFdCBERABERABERABESg4Ag4BWHKAmDnMpWfKDjaGlkEgiYgQRg0Mj0gAiIgAiIgAiIgAiIQMAGnIJTbaMDY1FEEIkVAgjBSpDWPCIiACIiACIiACLiRgFMQcv+rPwAO7VW2UTfeBe05JglIEMbksWhRIiACIiACIiACIhAnBLwF4a5lwOb5QJVLgcbvx8kmC8c2lixZAv4XjdawYUPwP7XYIyBBGHtnohWJgAiIgAiIgAiIQPwQ8BaEh9OBlWOBhCTgmtkqUh/Bkx49ejSWTBiChsm7IzgrsPRQWTRo+zDuuOOOiM6ryQIjIEEYGCf1EgEREAEREAEREAERCIWAtyDkGBtnA3tXAXVuBRr1DWVUPRMCAQpCTBuAO8pvCeHp0B8Zs6MyMlt0kyAMHWGBPilBWKB4NbgIiIAIiIAIiIAIuJyAL0F4cHeWlTC5JNDsK1kJI3RFjCCc9QbuqLYjQjNmTTNmU3lkNu0iQRhR6oFPJkEYOCv1FAEREAEREAEREAERCJaAL0HIMWQlDJZkvvsbQfjz67jj1AhbCJdVRuY5T0gQ5vsEC2YACcKC4apRRUAEREAEREAEREAESMCfIJSVMOL3wwjC3/vh9rM3RnTuMYuPA+r3kCCMKPXAJ5MgDJyVeoqACIiACIiACIiACARLwJ8glJUwWJL57k9BmPlnP9zeaEO+xwpmgLG/VAdOkyAMhlkk+0oQRpK25hIBERABERABERABtxHITRDKShjR22AE4bK+6HDO+ojOO/bnGkg49WlZCCNKPfDJ4lYQHjlyBFu2bEGlSpWQnJycJ5Fdu3YhPT0dVapUybOvOoiACIiACIiACIiACARIIDdByCEUSxggyPx3oyA88lcfdDhvXf4HC2KEcT/VRMLJPSUIg2AWya5xKQjnzp2Lvn37gqKQrWPHjmjTpo1Prlu3bkWnTp2wZ88e8365cuXQoUMH3Hjjjebfs2bNQv/+/XM8O23aNBQvXjySZ6W5REAEREAEREAERKDwEchLENJKuPpDICERaDwaOPb8wrfHQrJiIwj/fgXtz4+wIPyxJhJPekaCMEbvSdwJwv3796Nly5Zo27atEXZff/01XnvtNYwaNQo1a9bMcQy0Ik6ePNk8U6pUKbz//vug2Js6dSpKlCiBmTNn4vXXX8ewYcOyPVunTh0kJCTE6LFqWSIgAiIgAiIgAiIQIwTyEoRc5vYfgW2/AlUaA43fj5GFx98yKAgPr3gZ7S74N6KbG/9DLSTV6yVBGFHqgU8Wd4Jwzpw56NOnDz777DMULVrUkGjdujVatWqF22+/PU8y69atwz333GMsjOecc44RhIMGDcLnn3+e57PqIAIiIAIiIAIiIAIi4EUgEEF4OD2rLiGthI36AbVbC2MBEKAgPPTPy2h34doCGN3/kBO+r42kuhKEEYUexGRxJwgnTpyISZMmGaufbY888ghq166Nbt265Ynm448/NtZAjlOxYkUjCGlhpDgsVqwYGjVqhGuvvTaguMQ8J1MHERABERABERABEYh3AoEIQjLYtQzYPA8oUxdo8jFQ9Jh4JxPx/RlBuPIltL14TUTnnvBdHSSf8KwshBGlHvhkcScIR4wYAVoJJ0yY4KFAIUh30BdeeCFXMsuXLwfF43XXXYcuXbqYvkuXLsWXX35pYgs3btyIb7/9Fpdddhl69epl3rexh4EjV08REAERKBwE6BafmZlZOBarVYqACMQsgeTtPyBx23cBrS9543QkZuxARr0HkXHC/QE9E0onfi5MTEwM5dFC/QwF4cFVL6LtJasjuo+J3x6P5OOfkyCMKPXAJ4s7QRiqhXD9+vV48MEHceqpp6Jfv35+f0l89NFHGD58OL744gtjJTx48GDgtNVTBERABAoRAYpBxUoXogPTUkUgRgkkbv0O2PJNQKtL2LcBiRumIzOpJA5f9SUyS1QP6LlgO/EznBt/vxlBuOYFtGkcYUG44HgUqdNbgjDYixqh/nEnCG0MIWP+ihQpYjAyYcxNN93kN4ZwxYoVePTRR41baO/evZGUlOQX//z58/HSSy+ZxDPKMhqhW6ppREAEREAEREAECi+BQF1G7Q5tGYrq1wIXvFV49x2DKzeCcO0LaHPpqoiubuL8E1Cktm9BmJGRgdTUVFP6LRCRvnfvXqSlpaFy5coB9Y/oRgvpZHEnCPft22dKRrRv395nllG6eN5///1GHDZv3hx//fWXcRM966yz0LlzZ49lsGTJkqhQoQLGjh2Lk08+GaeffjpYq7BHjx7GMjhy5MhCeuRatgiIgAiIgAiIgAhEkECwgtCTYCZJZSjCfEyxJAjphTJ06FCT2Z+NhhwmhjzzzDN97prCkSFbixcvNu/TMPPKK6+gQYMGYabkvuHiThDyCGfPnm3cPm276667jEBk27lzJ2655RbY12hJHDhwYI6TZ/IYjjFgwADMmDHD837VqlXNZfVVwsJ910c7FgEREAEREAEREIE8CAQrCDmcKUOxGKh4FtDkaKJAsc4fgaOCMMIuo/OPz2EhpLDr3r27yezfsGFDDB48GPPmzcMnn3ziM3SL3nlvv/22+Wxer149IwZ//fVXkwhSXnv5uxdxKQiJhEXpmQSG5mfrOhoqqvT0dLBeYZkyZVC+fPlQh9FzIiACIiACIiACIuA+AqEIQlJaMRrAIaDBM0DdO93HrQB2HEuCkMKOCR2ZEJKNn7VpwGG5t/r16+fY/Z133okzzjjDUzWAbqa33XabMezQk08tdAJxKwhDR6InRUAEREAEREAEREAEwkYgVEG4dxWwfgZQoipw9UyVoQjDgWQJwhfR5tJoWAizZxllFQBm8beZ+7m9pk2bomfPnmjSpEmO3VIsMt9H165dPe+x/5NPPomrr746DHTcO4QEoXvPXjsXAREQAREQAREQgYInEKog5MrWTgEOpAL1HwVO6Vzwa43zGWJJEHbq1Mm4fjrrhDdr1szk9GjRokWOk3j33Xcxfvx4tG3bFtWqVcNvv/2GWbNmSRCG4c5KEIYBooYQAREQAREQAREQARHwQyA/gjBtPbBuGlC8CnDlZKBkDWHOB4GjgjCyheknzq+DIrXzZyFkEhrWGWecIRtFIeuDy2U0Hxfiv0clCPPPUCOIgAiIgAiIgAiIgAj4I+BLECaVAA7vD4yZLUNR51agUd/AnlEvnwSyBOFLaHNpNAThs9nqEDKGkKXfWN+bLSUlxVQI8BdD6L2hYcOGYcqUKSZLaYkSJXTi+SAgQZgPeHpUBERABERABERABEQgDwJWECYkA0VrAcWOBbasBiofDxzYBmSsBTIP+R/k4G5g5VgguSTQ7CtZCfNx4WJJEC5atAhPPfWUJ8soLX0LFizwZBmliyitge+9957ZMRNGbtu2DWXLlsXChQtN1v927dqByWbU8kdAgjB//PS0CIiACIiACIiACIhAbgQoCLctBEqdBXw0ENi2AThyCEhMBipVB27uCqQtBo4c9D+KrIRhuWNHBeHasIwX6CAT59dGkdrZLYR0AX3jjTcwffp0M0xiYqIRh2effbb5d//+/U0pOVv+jcXoW7Zsad5jBYE77rgDbdq0CXQJ6pcLAQlCXQ8REAEREAEREAEREIGCI0BBeOAwMOwJ4JgqwIF9QNoOIPPI0Tk7vwns+t7/GjxWwlLAdT8o42iIpxVLgtBugeXdtm/fbmICKQpza5s3bzZisGLFiiES0GO+CEgQ6l6IgAiIgAiIgAiIgAgUHIGURcCiBUByMWD9cqBcFSAhE/h3KbD+96x5a50GNGsJpOcS27b+c2DfJmUczcdJZQnCl9Hm0mhYCHtliyHMxzb0aJgJSBCGGaiGEwEREAEREAEREAERcBBYtxR4uwuw5rejL9IS1KQ9sDcF2PAHcExloO3jQNpS/+hsxlHWJbx+oRCHQECCMARoLnhEgtAFh6wtioAIiIAIiIAIiEBUCOxOBYY/DCyeBSAz5xKuvB1ISwE2LgPu6AUc/if3Za7+ADiUBjTqB9RuHZUtFeZJPYLwsn8juo2J82uhSC1ZCCMKPYjJJAiDgKWuIiACIiACIiACIiACQRCYOx74ahSw/i8gw0eZicQk4KbHgZXfAa3vA9L+yH3w1CXA1oVAjWuBC4YEsRB1JQErCNtGQRAmSxDG7CWUIIzZo9HCREAEREAEREAERKAQEziUAUwdDCz5Eti2Hti1zfdmbusBHN4JnH4KcGBD7hs+nA6sGJVVguK6hUouE+T1yBKEryA6gvAZxRAGeV6R6i5BGCnSmkcEREAEREAEREAE3EQgbSfw0QBgxTfAoQNA6lZg746cBG7pDjQ4A9iXS/yg8ymbXOacV+U2GuR9OioI1wX5ZP66T5xfE8m1JAjzR7HgnpYgLDi2GlkEREAEREAEREAE3E3gi/8B344DMlKBxNLA7p1ZrqMZ6UDR4kDREsDTY4Bds7OXociN2q5lwOYFchsN4WZJEIYAzQWPSBC64JC1RREQAREQAREQARGICoFNK4EhHbMEIVtScSAzCah1OlC2ElCxGtCgIbB7CXBoX2BLdNYkbLUssGfUyxDIEoR90PayaFgIe8plNEbvoQRhjB6MliUCIiACIiACIiAChZ4ArYG/fQl80Ps/QZgMXNAGWLkYyDgIlCoNVKoInNoIKL4XOPifcMxr4zbb6IVDgWpX5dVb7/9HQIJQV8EXAQlC3QsREAEREAEREAEREIGCI7D5h6ykMst+BiqdDMx6H9i1FShTDjiy1wndpAAAIABJREFU92g5ihYPAMcmByYKt/8IbF8C1O8KnNK54NYeZyMfFYTrI7qzifNrILmWLIQRhR7EZBKEQcBSVxEQAREQAREQAREQgSAJpHwDbPsJKHMGMG1sVgmKzCPAkfScA7V5Cii+DTjso0SFs/feVcCGWUCVxkDj0UEuyL3dJQjde/a57VyCUPdCBERABERABERABESg4AhQEG75Dih7LjDk0dznadQMOK8RsHdN7v1sHGGJasD1Cwtu7XE2cpYg7Iu2l0XDQvi0Yghj9D5JEMbowWhZIiACIiACIiACIhAXBCgId/4GbAXw6du5b6n6ycC1twAHVuW99eUjgcRk1SPMm5SnhwRhELBc1FWC0EWHra2KgAiIgAiIgAiIQMQJUBBu/xlIOB5499ncpz/lAqDJ1cDef/Je5topQMYOoPEY4Njz8+6vHv9lGaWFcENEaUycXx3JtWQhjCj0ICaTIAwClrqKgAiIgAiIgAiIgAgEScC4jH4DFDkJGN0HOJThf4DzrwPOPBXYtzHvSTbOBvauBho+C9S9M+/+6pElCP+NgiCcJ0EYy9dPgjCWT0drEwEREAEREAEREIHCTsAKwuJVgM37gWnDfO+oYg3g5oeAfb8HtmObabReR6BBz8CecXmvLEHYL/IWQiMIeyiGMEbvnwRhjB6MliUCIiACIiACIiACcUHACkJu5mApYF8y8Pko4NCBo9urVR9o2hY4+F8G0kA2nrYeWD8dqHKpMo0GwssWpjeCMAALbIBjBtJt4rzjJAgDARWlPhKEUQKvaUVABERABERABETAFQScgpAbLl4ZOFQOQBKwfSNQ6xRg/xYgY3VwOCQIg+P1nyA8FAVBOEGCMOiziuQDEoSRpK25REAEREAEREAERMBtBLwFod1/UnEgsRjAEhLIDI3KX0OB5FJAq2WhPe+yp+gyeujfVyNuIcwShE/JZTRG75sEYYwejJYlAiIgAiIgAiIgAnFBwJ8gDMfm/hoCJJeWIAyQpQRhgKBc1k2C0GUHru2KgAiIgAiIgAiIQEQJFKQgXDEawGHgmtlAyRoR3VZhnOyoINwU0eVPmFdNFsKIEg9uMgnC4HiptwiIgAiIgAiIgAiIQDAEClIQqhZhMCdhyk5kuYxKEAYFLs47SxDG+QFreyIgAiIgAiIgAiIQVQKREIQXDgWqXRXVbRaGybMEYf8oCcLuiiGM0UsiQRijB6NliYAIiIAIiIAIiEBcEChIQWhrEdbvCpzSOS5wFeQmJAgLkm7hHVuCsPCenVYuAiIgAiIgAiIgArFPQIIwZs7oqCDcHNE1TZhXFcm1ZCGMKPQgJpMgDAKWuoqACIiACIiACIiACARJoCAF4d5VwIZZQI3mwAVDglyY+7pnCcLX0PayaAjCJ+UyGqNXToIwRg9GyxIBERABERABERCBuCBQkIJQxemDuiIShEHhck1nCULXHLU2KgIiIAIiIAIiIAJRIFCQgpBF7VeOBUpUA65fGIXNFa4pPYLw8pSILnzCvCpIrikLYUShBzGZBGEQsNRVBERABERABERABEQgSALbFwO7VwIZR4CkRCBhP7BvQ5CD5NJdxekDZhmLgjAjIwOpqamoUqUKEhIS8tzLoUOHsG3bNlStWjXPvuoQGAEJwsA4qZcIiIAIiIAIiIAIiECwBPbuABZNBf75Adj6L1C+KlCpKtDgAmD/smBH891/9QfAoX3AFVOAcqeFZ8w4HSVLEA5A26hYCLtliyHMzMzE0KFDMXXqVEO7SJEi6NOnD84880yf9A8fPoxXXnkFP/zwg3m/ePHiuOeee3D99dfH6WlFblsShJFjrZlEQAREQAREQAREwD0Edm8HfvkSmP0/ICM1+77rnAE0vQVI/yv/PNZ/DuzfBFz4tmoR5kHTCsJ2URCESTWzC8LFixeje/fu6Nu3Lxo2bIjBgwdj3rx5+OSTT5CYmJhjJx9++CFGjhyJ8ePHo2LFipg8eTKGDx9u/ixVqlT+75GLR5AgdPHha+siIAIiIAIiIAIiUGAEFk4HZo4CDqTmFISc9PRLgPMvAjLW528JqkUYML+jgnBLwM+Eo+OEeZXhLQgHDBiA5cuXY8SIEWaKLVu2oH379hg0aBDq16+fY9q33noLX331FSZOnGisg2vWrMF9992Hd999FzVq1AjHMl07hgSha49eGxcBERABERABERCBAiKQtguYMhBYvdS/ICxdHujwNJD2a/4WodITAfOLJUHYrVs3lCtXDr169fKsv2nTpujZsyeaNGmSY08UgA899BDKlCmDO++8E19++SVKliyJfv36Bbx/dfRNQIJQN0MEREAEREAEREAERCC8BHZtAUY9DTCG0J+FkDPe0QtIWA8cyQh9/vStwJqPgLL1gGZfhT6OC57MEoSvo93l0bAQPpEthrBTp06oV68eKAxta9asGTp37owWLVrkOI39+/fjqaeeQnp6OjZt2mT+pMspRaRa/ghIEOaPn54WAREQAREQAREQARHwJrBnBzCpL7DxH/+CMLkocH8/YM/P+ednM41e9wNQ9Jj8jxenI8SSIAzWQvj666/jjz/+MHGEbHQVpfvokCFDcNJJJ8XpiUVmW64VhMGkuGV6W/o1V6hQwfgsq4mACIiACIiACIiACORBgC6jvy/wLwgr1QRa3wPsX5F/lGunABk7gMZjgGPPz/94cTrCUUG4NaI7nDDvWCTVzG4hZAzhihUrTGIYtpSUFHTo0MFvDCHjC08//XQ8/fTTpv+RI0dAiyIzjbZt2zai+4m3yVwnCINNcctAV2Y1so0XsXfv3sbnWU0EREAEREAEREAERMAPAWYZfbsLsGeD76Qyd70IYC1weH/+EaYsAHb9DdR/DDilc/7Hi9MRsgTh/6Hd5dEQhI9ncxldtGiRcQG1WUYHDhyIBQsWeLKM0gLIrKPvvfeeOY3nn38eP/74I4YNG4aaNWti5syZoKhUUpn8X1bXCcJgU9x+8MEHqFWrlqmJsm7dOjz22GO4+eabzbcRaiIgAiIgAiIgAiIgArkQ2LUVGPsUsPYXAJlZHctWAlo9AhxeAyQcCA++XcuAzfOBGs2BC4aEZ8w4HCWWBCGNNG+88QamT59uSLPUBMXh2Wefbf7dv39/zJ49GzNmzDD/3rFjh7Ee2jqE9NyjZfCGG26Iw5OK7JZcJwiDTXHrfRzMhLR582aP/3Jkj0uziYAIiIAIiIAIiEAhI7B+IXBkP7Dhb6BavSxr4eFNwKG08G3k4G5g5TigRFXg+oXhGzfORjoqCLdFdGcT5lVCUs3sFkK7ACaH2b59O6pVq+az/qD3QhnKtW3bNlStWjWie4jnyVwnCIMNYHUe/sGDB9G6dWtcdtll2TIixfMF0d5EQAREQAREQAREIF8EUr4BtnwDFCmTJQIzj+RrOL8PLx8JJCQB18wGSqounS9ORhCuo8tohAXhXP+CsGAug0YNhoDrBGGwKW6dMJ977jksXLgQY8aMQeXKlc1bu3btCoa3+oqACIhAoSFA9x0G7auJgAiIQH4IFF/+f0je+LkZ4kiZejhc5iQk7VmOxD1Hk8mE4/XEA1uQgCPYd0ZfHDwuZ9kC5x5Yy46/49zWsgThwCgJwq7ZYgjdxj6W9+s6QRiqhfCtt94yQa5MedugQQPPmerDUixfb61NBERABERABEQg2gQSf3kSWD0paxnHnovMiuciYftPwNafji4tHK9nHgQSEpF58sPIPCMrE6W/5kYxSBYShNH+aYjN+V0nCINNcUvBx2cY1EoxyCyjaiIgAiIgAiIgAiIgAgES+HcKsHF2VueiZYEiZQHG/GXsPjpAOF5ngfpt3wFVmgCNRwe4OHd1OyoIt0d04xPmVkRSTVkIIwo9iMlcJwiDTXHLJDJ0E3322WdxwgkneNAykDU5OTkI1OoqAiIgAiIgAiIgAi4kYGMII7F1W6C+1bJIzFbo5pAgLHRHFpEFu04QBpvitmXLlkhLy5kFi/UJjz/++IgckiYRAREQAREQAREQgUJLIJKCcPUHwKF9WRZCFajPcWUoCA+vG4R2l0fWQjjeWAgfUwxhjP4Qu04Q2nMINsVtjJ6fliUCIiACIiACIiACsU2AgjB1UVaW0czDwMG08BSj97VruqbuXQ00fBaoe2dsc4nC6o4KwtSIzj5+bgUJwogSD24y1wrC4DCptwiIgAiIgAiIgAiIQEgENi0Gtv4DpKwGipUCypQDyiQD+1eHNFyuD6UuAbYuBI6/DWjUN/zjF/IRJQgL+QEW0PIlCAsIrIYVAREQAREQAREQAdcTSFkLfPgC8O/P2VE0vBxoeD6QuS68iNLWA+unA1UuVWIZH2SzBOFgtLs8GhbCR+UyGt7bHrbRJAjDhlIDiYAIiIAIiIAIiIAIeAjs2gZMeAlYvwTI8CFAKArPuwhIXxM+aIfTgRXvAMmlASWWycFVgjB8Vy2eRpIgjKfT1F5EQAREQAREQAREIFYI/DIT+HwYcCA1uyBMSAIyucjDwJ3PAgkbAAq5cDVlGvVL8qgg3BEu2gGNM35ueSTVlIUwIFhR6CRBGAXomlIEREAEREAEREAE4p7AZ28Di2YdFYSJJYCEYsChA0Bikikij5YPABX2ZfUJV1s7BcjYATQeo0yjXkwlCMN1yeJrHAnC+DpP7UYEREAEREAEREAEYoPA1EHAb/P/E4TpwJ6dAN1Is8yDWYKwbU+g/inAoTQgqXTW64fTgCNbgIxdoe1DgtAvtyxB+AbaXR4NC2EXxRCGdqML/CkJwgJHrAlEQAREQAREQAREwIUEfv0KmDYUOLAL2LoO2OOj9l3bXkBSMnBgJ7B0FpCZCVQ8DrigOVBsD5CwN3hwKQuAXX8BDZ9T6Qkveh5B2CQKgrCGBGHwlzkyT0gQRoazZhEBERABERABERABdxHYuQUY9RSw8S9g4/Kce6/TEKh/CfDZEOCGzsCfXwHpe472u/5BoEpxICMlOG7bfwS2LwHqdwVO6Rzcs3He+6gg3BnRnY6fWw5JEoQRZR7MZBKEwdBSXxEQAREQAREQAREQgcAJrPsLGPogsHZp9meq1QMuuQX4sE/W69feC6T8DWxZlb1f+6eA5BTgSEbgc0oQ+mUlQRj4NXJTTwlCN5229ioCIiACIiACIiACkSawcCrw17fAplVZhemPqQCUrQh8Pw3YtDJrNedfDyQeAtb9ln11190HHFcSSN8a+KolCPMQhG+iXZNoWAgfUQxh4Lc4oj0lCCOKW5OJgAiIgAiIgAiIgMsI/DAR+PYDoGxl4MghYPdWIDUFSN1xNK6wdVfgr7nA7i3Z4dCltPElQNq/gUOTIAxAEIaYsCfwU8jWc/zcY5BUQ4IwRHwF/pgEYYEj1gQiIAIiIAIiIAIi4GIC634GhtwLHDlyFEJiUeBAJpCyBihdAWh2J7BwUk5Ize8FqpcG0r2EYm44N84G9q4BznkVqN3axeBzbj3LZZQWQglCXYyjBCQIdRtEQAREQAREQAREQAQKjsC2n4F/lgKTBznmSAQyiwEp64CWXYAl04H9u3OuoU03oHhqcIXrVXbC71lmCcK30D4KgjCxRme5jBbcT1m+RpYgzBc+PSwCIiACIiACIiACIpArgZRvgJ1LgaInAT/OALauB5KLAuWOA85qDozvAex3ZBe1g13TEaheDsjYFBzgNR8AB9NUmN4HNQnC4K6SW3pLELrlpLVPERABERABERABEYgGAQrCLd9kFaIvVRM4mJy1iuSDQNoOYF8p4NupwI6UrDqE5asCF18PlD4MZIZQL++vIUByaaDVsmjsNqbnPCoIfVhjC3Dl4+eWhSyEBQg4n0NLEOYToB4XAREQAREQAREQARHIhYAVhP66FC0HJBwLFCkDZAI4xGL024ADqcFjPbgbWDkOKFMXuGZ28M/H+RMShHF+wCFuT4IwRHB6TAREQAREQAREQAREIAACeQnCAIYIuMuuZcDm+UCN5sAFQwJ+zC0dswThELRvEg0L4cOKIYzRiyZBGKMHo2WJgAiIgAiIgAiIQFwQiKQgtBlGG/YC6t4ZF/jCuQkJwnDSjJ+xJAjj5yy1ExEQAREQAREQARGIPQKRFIT/jAYyDwNXTAHKnRZ7LKK8oqOC0EcSnwJc2/i5ZZBYQxbCAkScr6ElCPOFTw+LgAiIgAiIgAiIgAjkSiBSgjB9K7DmI8UP5nIYRhCuH4r2TSIsCOdQED4kl9EY/VUhQRijB6NliYAIiIAIiIAIiEBcEIiUIDTuoquAeh2BBj3jAl24NxGLgjAjIwOpqamoUqUKEhISwr1ljRcAAQnCACCpiwiIgAiIgAiIgAiIQIgEKAi3/ZSVRTS5BHBoH5CxM8u1M5xt+UggIUnuogFZCJnJNXJt/JzSOSyEmZmZGDp0KKZOnWoWUqRIEfTp0wdnnnmmz4U9/fTT+Pnnn3O817FjR7Rp0yZym4nDmSQI4/BQtSUREAEREAEREAERiBkCW38BNvwJpO0FVi0DTjwdOKY8UHQ3QDfPcDRaBjfMBCqclSUI1XwSOGohjL4gXLx4Mbp3746+ffuiYcOGGDx4MObNm4dPPvkEiYmJOda/detW7N17dN3p6eno0qULnnjiCVxzzTU68XwQkCDMBzw9KgIiIAIiIAIiIAIikAuBtF3AkunA1FdzdrqpK1BqL5CZln+Ea6cCB7YD57wK1G6d//HidIQsQfg22jeJhiB8MFsM4YABA7B8+XKMGDHC0N6yZQvat2+PQYMGoX79+nmewDvvvINp06bho48+QnJycp791cE/AQlC3Q4REAEREAEREAEREIGCIfD7fGDic0CGnyLztz8LJG/KciMNtaWtB9ZNA0pUAa6eBRQ9JtSR4v65WBKE3bp1Q7ly5dCrVy8P96ZNm6Jnz55o0qRJrmexc+dO3HbbbXj00UfRvHnzuD+3gt6gBGFBE9b4IiACIiACIiACIuBGArtTgXG9gQ2/+ReEdRoAzW4E9q0MnZC1DtZ/FDilc+jjuOBJCsIjxkIYBqtsELzGzSmFxBrZLYSdOnVCvXr1QGFoW7NmzdC5c2e0aNEi19EHDhyIH374ARMmTPDpXhrE0tQVgAShroEIiIAIiIAIiIAIiED4CezaBgx9CEjb4l8QlqsMtHkcSFsa2vyyDgbFLZYEYagWws2bN+P222/HM888g8svvzyo/auzbwIShLoZIiACIiACIiACIiAC4Sewaysw5GFgXy6C8JhjgXZPAHtDFISyDgZ1blmCcFiULIQP5IghXLFiBYYPH272kJKSgg4dOuQZQ9i7d2+sWrUKY8aMCWrv6uyfgAShbocIiIAIiIAIiIAIiED4CezdAYyhy+hS/xbC4xsAV90ApK8Kfn5ZB4NmFkuCcNGiRXjqqac8WUbpBrpgwQJPltF3333XZB197733PPtcuXIlHnjgAbz88ss4//zzg96/HpCFUHdABERABERABERABEQgkgSWzgEmveBfELbvCRTbBhwMIevlP6OBzINAg15A3TsjuatCO9dRQZiPJD4h7H7cnJJIrJHdQsg6hG+88QamT59uRmSpCZagOPvss82/+/fvj9mzZ2PGjBmeGbt27Yq0tDRPZtIQlqJHfBCQhVDXQgREQAREQAREQAREoGAI7EkFVv0IzH0PSF0H7N9zdJ7WXYCyGcDh3cHPnboE2Po9UPpE4JrZwT/v0ieyBOFwtG8SDUHYKZvLqD0C1hPcvn07qlWrpgQxUbqXEoRRAq9pRUAEREAEREAERCBuCRw8AKxbBmxbDyz/Djj2OKBsRSB1PVCmJFCuElBkN3Boe/AIDqcDK8cCCUlA49HAsXIdDBSiRxBeEQVBWN23IAx07epXcAQkCAuOrUYWAREQAREQAREQAfcRYDKZP74BZv+X9ONAKpCxE0gsArR4GKhUBDi0GThyMDQ26z8H9m0Aql8DXDAktDFc+tRRQbg/ogTGzSmBRAnCiDIPZjIJwmBoqa8IiIAIiIAIiIAIiEDuBJbOBT5542gfIwgdhelvfhw4Jj1LJAbbbCKZ4pWBK6cAJWsEO4Kr+0sQuvr4/W5eglD3QgREQAREQAREQAREIDwEGDM44WUgZY1/QVjrNKDZLUD6iuDmpKvo6klA5iGgwTNKJBMcPdM7SxCOQPsromEhvN9nDGEI29AjYSYgQRhmoBpOBERABERABERABFxLIHUTMLwrcCjDvyAseQxwew9g32/BYdr+I7BtMVDhTOCKKcE9q94ShLoDfglIEOpyiIAIiIAIiIAIiIAIhIcA4wcpCA84kpZ4u4yWqQS06wbsC6IYffpWYM2HQHJJoMlkoNxp4Vmvy0Y5aiFMj+jOx80pjsTqshBGFHoQk0kQBgFLXUVABERABERABERABHIhsHsbMLFP3i6jTVsBGasDR7nmg6xahXXvBhr0DPw59cxGQIJQF8IXAQlC3QsREAEREAEREAEREIHwEfhnUVYcoW3eFsLbnwWSNwGHAix9YF1FS58AXDEZKHpM+NbqspGyBOH/0P6KaFgI71MMYYzeNwnCGD0YLUsEREAEREAEREAECiWBvTuAf5cBHw/IWr5TEN70BFBqN5CZFtjWnK6il7yvmoOBUfPbywrCDlccyOdIwT0+bk4xJFSXIAyOWuR6SxBGjrVmEgEREAEREAEREAF3EMhIB1I3Aru3A3/PBSpXAsqUAYrsAijyAm10Fc3YA9S7R66igTLLpZ8EYRggxuEQEoRxeKjakgiIgAiIgAiIgAjEDIHUJcDW74GMXQAyA1+WcRVdBJQ+Ua6igVPLtWeWIByJ6FgI75XLaJjOMdzDxK0gPHLkCLZs2YJKlSohOTk5IG6HDx9GQkICEhMTA+qvTiIgAiIgAiIgAiIgAnkQSPkG2PJNcJgO7gZWfwgkJAKNR8tVNDh6fntLEIYJZJwNE5eCcO7cuejbty8oCtk6duyINm3a5Hp0+/fvN99a3H777bjhhhs8fWfNmoX+/fvneHbatGkoXrx4nF0HbUcEREAEREAEREAEwkwgFEG4dipwYBtQ5xagUd8wL8i9wx0VhI46kRHAMW5OUSRUl4UwAqhDmiLuBCGFXcuWLdG2bVt06NABX3/9NV577TWMGjUKNWvW9AmJgo/Cj+2RRx7JJghnzpyJ119/HcOGDcv2bJ06dYw1UU0EREAEREAERCBEAsveynqw0rmyAIWIsFA8Fqwg3LUM2DQXKFEFuHqWsoqG8ZCNINxAl9EIC8KvJQjDeIxhHyruBOGcOXPQp08ffPbZZyhatKgB1rp1a7Rq1cpY/3y1HTt24MCBA7jvvvvMf04LIQXhoEGD8Pnnn4cdvgYUAREQAREQAVcT+PhEAIlAhTOyio2rxSeBYATh4XRg5VggIQm4cAhQ7ar4ZBKlXWUJwneiJAg7KoYwSuee17RxJwgnTpyISZMmYfLko/9jodWvdu3a6NatW648aFm85557cghCWhjPOeccFCtWDI0aNcK1114bcFxiXgeg90VABERABETAtQTmtga2/gQklwKuWyhLULxehGAE4cbZwJ6VQJVLsmIH1cJKQIIwrDjjZrC4E4QjRowArYQTJkzwHBKFYKlSpfDCCy8ELQiXLl2KL7/8EuXKlcPGjRvx7bff4rLLLkOvXr3MWLQuqomACIhAPBKgW3xmZhAZAeMRgvZUoASKrxiEIimzkHRgC/ad1hsZ1a4v0PliYfCkPX8j4XAajhSviiPFj4uFJRX4GoqkLkTS9u/znCdx/0YUTZmBzKQS2HPR5ALlU7ZsWSQlJeW5pnjrcFQQHozo1sZ9XQQJ1WUhjCj0ICaLO0EYbguhN8uPPvoIw4cPxxdffGGshPqwFMRtU1cRiDMCiiOOswONwHb0/wwvyL/1Q8IOliT4EZnVrwEuGBKBU4jyFHNvy9rzaY8g8+SHo7yYyEyfsOVbZKYsyHuyNZOQcHAvUP/RAmfj1t/fEoR5X0M39og7QWhjCBnzV6RIEXOmdAW96aab/MYQ2oP35TLqfSnmz5+Pl156Ccoy6sYfF+1ZBERABEQgrAR+6wewvABjxozb6A/x7zb6dWsgdRFQ5VL3uEQG4jLKRDKb56nmYFh/wHIOliUIR6HDFdGwEN6jGMICPt9Qh487Qbhv3z7ceOONaN++vc8so3v27MH9999vxGHz5s0NN9YfZImKW265xVzUFi1aeMTk2LFjcfLJJ+P000/Hrl270KNHD2MZHDlyZKjM9ZwIiIAIiIAIiAAJUBCyrf8c2L8JaPQqULt1fLNZPhJY8gKQXBpotSy+92p3l5cgZCKZ1ZOAzENAo37xfweieOpHBeGhiK5i3NfJSKguQRhR6EFMFneCkHufPXs2+vX7738yAO666y4jENl27txphJ/ztSeeeAKMFXQ2xiIef/zxGDBgAGbMmOF5q2rVqiaLqb8SFkGwV1cREAEREAERyCKwdSHwzV3AqQ8Dp3R2DxUrCK11qExdoNlX8b3/VeOB318DDqUBFw51RxbNvATh9h+Bbb8qkUwEbr4EYQQgF8Ip4lIQ8hxo8WMSmCpVqnisfaGeT3p6OrZs2YIyZcqgfPnyoQ6j50RABERABETAN4E/BwKsyVevI9Cgp3soWUHIHa9gRkkXWIgoCFeNA3YuA0661x3nnZsgdJaZYFbRY893z/2Pwk6zBOG76HBFNCyEd8tlNApnHsiUcSsIA9m8+oiACIiACIhATBBY9ymwsIu74soI3ikI3WIlpCDc/guw5iOgbL34t4jynHMThLIORvRXEAVhZhQE4VjjMipBGNHDDmIyCcIgYKmrCIiACIiACBQIgW0/AnNucY9AsBCdgtAtVkIKwrR//7OIHnZH8XV/glDWwQL5dZLboEcF4eGIzj326yQJwogSD24yCcLgeKm3CIiACIiACISfAAXC5xe7r0C7tyDcuwpYPwMoURW4emZ8Zhy1gjCV5TYWAsffBjTqG/47FUsj+hNsVkUpAAAgAElEQVSEsg5G/JQkCCOOvFBMKEFYKI5JixQBERABEYhrAhSEtBBmpAIXvu2ORCM8UG9ByNfWTgEObAdMXcK34u/YrSD0lNsomeU2WrJG/O3V7siXIJR1MCrnnSUI30OHK6NgITzuLsUQRuXU855UgjBvRuohAiIgAiIgAgVLgILwp8eyMi26JdGIP0FIobT6QyAhMT7dKa0g5P43zgZoFa1za3xbCX0JQhMzukCZRQv2N0uO0SUIIwy8kEwnQVhIDkrLFAEREAERiGMCFIR/DnZXohF/gpCvG3fK74HiVeLPddQpCN1iJfQlCP8ZrbqDUfiVdlQQHono7GO/TkSCHwthRkYGUlNTTWWAhISEgNbFagKsAFCqVClTBUAtfwQkCPPHT0+LgAiIgAiIQP4JUBBSKJjSC4eBK6YA5U7L/7ixPoIvl1G7ZuM6ug2ofAnQ+P1Y30ng63MKQj5lrYTVr41PF1nu0VsQpq0H1k0DWHfymtmBs1PPfBPIEoTvo8OV0RCEd2ZzGc3MzMTQoUMxdepUs68iRYqYWt9nnnmm333u2bMHr7zyCn755RfT5/TTT8fAgQPzzcXtA0gQuv0GaP8iIAIiIALRJ2AFYcqCrPp0bkg0Quq5CUJPjFkicFoX4JTO0T+ncKzAWxA6Y+kuHBKf8aPegtCI4NVA/cfi51zDcTciMEYsCcLFixeje/fu6Nu3Lxo2bIjBgwdj3rx5+OSTT5CYmJiDBq2C7dv/P3vnAWZVdbX/351egJkBZobeQYpKU4EoGmyA2BBrxCSWaGIsST5jzz8xfmJPolGjftaAXVEUFCmKYkMFBJQy9M4MM8P0Pvf+n3X2nJk75c7t55bZ+3l4Hrh3n733eve+h/Oetda7Lje+mz17NqeccgplZWVkZWVZgFx0T6EJYXTvr7ZOI6AR0AhoBCIBAZMQNoYQpsKMb6JTZdN5P9ojhNLP8CS9D7HJKseu/wWRsJvtr7ElIZTeZoiseMymvBN9++5MCE0CHBMX/WI6YXhamwihw9LVzfvEhq1Xcw/hI488Qk5ODs8++6yxFgkBFcL3r3/9i1GjRrVa3/Lly3nggQeM/gMHDrR0/dE+mSaE0b7D2j6NgEZAI6ARCH8ETEIoK933IVQchFE3R7/3xB0hNMlS3lcqn3DyS5EfStsWIRQ7d74BtaUw9Co49s7wP7PerNCZEBpiMp9D9mSYLCHSulmJQDgRwltuuYX09HTuvvvuRgjOOOMM7rzzTqZMmdIKFvEkrlixguOPP57du3eTkZHBlVdeydixY62EMCrn0oQwKrdVG6UR0AhoBDQCEYWAMyE086uEAJ02P7rLEXhCCGUjJcSwdBskZcGp70Q2Jq4IYdVh2PWW8oZGW+ioMyE0X3iMvhuG/CqifqbRsFhFCP/L7NNC4SH8ZbMcwuuuu46hQ4cixNBsU6dO5YYbbuCcc85pBfdNN93Enj17uOiiiwwBmiVLliBhp9pj6P/J1ITQfwz1CBoBjYBGQCOgEfAPAWdCaBIgKUcQzUIjYqenhFD6CpEQstxtDJz4YuSGVboihGKjhI6KNzS5R+QTX+dfhDMhzHkOdLiof/cLP64OJ0LorYdQCGHPnj254447DAQkp/Dss882wkzlj26+I6AJoe/Y6Ss1AhoBjYBGQCMQGARaEsKOIDTiLSEUTPYsUGGVXY+NXFLYHiFsSXynzA/M+Qr1KCYhlJcc+5dA17FKSVc3yxFoIoTWTj3vE7D1au4hlBzCrVu38swzzxiLyc3NNcRiXOUQSv9t27bx9NNPNxLC6dOnc+mllxqho7r5joAmhL5jp6/UCGgENAIaAY1AYBBoSQhl1Gj1Fjkj5o2HUK4TUrjjTXDUwsCLYNycwOBv5SjuCKFpI7Uw5MroyCc0CaGo6BZvhlF/jP78WCvPlBdzhRMhXLNmDbfddlujyqiUj1i5cmWjyuiLL75oqI6+9NJLhoWmKulf//pXJkyYwPz583nuuecMddKRIztAmR4v9tnbrpoQeouY7q8R0AiEDoGijVBXpuaP6xT54hKhQzK8Z5Z93vCgWmN8Zxh3X+SGB3qKdFuEUK6NljBJVzh4SwhlHMm1E08htsgkhe4IoWmjmU8YDeqqJiHcJcI55TB5LmRO8PTXofsFEAFFCOdyxWkBHNSDocRDSK8rWtUhfPzxx1m4cKExgpSTEOGYcePGGf9+6KGHEGXRjz/+uHGG559/ntdff73x37/97W+ZNWuWByvQXdpDQBNCfT40AhqByEFgxcVQ+INab0IGnL0qctauV+o5Avs+gm9+p/rb4qHrMZEbHuip1a4IYWOYZFlkkh939vtCCBtJ4ftgi4EBsyLLU+gJIRQbRY3z4IroUFcVQnhwGWx9Xr3Mm7nJ3cnQ3wcJgSZCaAvSDG0PO+8TRytCaPasqqqioKDAyA9sq/5gyxGlv5SokP5SzF43/xHQhNB/DPUIGgGNgFUIfPYLKN0O1QVgi40+JT6rcAz3eYp+gs3/AUcNHP4OpDZfYncYf190Fu2W/XBFCBvJzwJ15iON/Lg7a74SQgMzpxqFUqYhUhQrPSWEYqOzuuqZSyLXUy6EcOfrsG8hZJ+sy024+10E8XuDEB4QD6HFhHC5a0IYRHP10B4ioAmhh0DpbhoBjUAYIGA+SBlFnFfBwEtUsWrdogsBZ3IkHjLxGFblQkwiZE6E4ddHX7hZxX4oXC2yeeCwKxJceahpX40wyQj1iLV3Ok1CGN8JahvCwb05zYYX7dPIKlzvDSEULIz6hCXQdTREqsiMEMJN/4D8H2DYNdGRF+nNOQ2jvooQzgsRIZzdLGQ0jGDp8EvRhLDDHwENgEYgghAwH6Tk4Wj7K0qaXYeNRtAGerjUtrxl8uCf+6UiSzHxkDEKBl0B/Wd6OGgYd6sphJxnIX81yN9T+kDaCEjtC+V7mxYuCo37FivyEy2ewi1vQkoPOJgDPYdBVR7U7AZ7recbZoZWxiUrwpQe5uIS3hJCZ5GZAREqpCOEcM2dUHEQjnsQ+l/g+f7qngFFQBPCgMIZNYNpQhg1W6kN0Qh0AAScH6TkrXldOUx6KnrDCDvAlrZpYnv5dEXroWA9OOpUfmFiV+h3PvQ7L/yJQFvGVufD93+GmiNQvr95j15TFfEt2930ubNHLNJJYeFBeOEaKDzQZF+3PnDBH6DiB+9IoRFauVXl2530Ynifhb1LobYKqmsgPhZiypsT/7bOibOHOBJFZoQQfnsj1FaocFEtKBOyu3sTIYyxdA3zltuhl/YQWgq6F5NpQugFWLqrRkAjEGIEnAmhGTbaZzpMfDLEC9PTBxQBV4RQPINxqRCTAAVrIO9LqC5URa5tcYo8CTnsearysoV7q6+A9fdB6Q6or2xNCGX9Ay5WpFcIgdkkd27/x4bIJkIaI1GFtTgPnvo9lG5re5d+9y8o+tq7HYwERdbiw/DBHDi0DYQQZ/aDngPh+JOhwo3QSiSLzAgh/PwyLSjj3YkOSm9NCIMCa8QPqglhxG+hNkAj0IEQcCaEEka19QWIS4GpyyKDAHSgrfLL1LYIYWovHPGp2OylOKpzIWUI2MEmYZYiPFO2s8lrGBOrPEQSUirkMCHNr+UE7WIhs9/eAA6Ha0KYeYKyoXhr82U4l16INBXW8iKY/zDsy3FNCPsfDafOgKpdnsPvXLg+60SY/LLn11rRs6wQnrsVcjeo/XZuQ4+DKedD5cb2V2KKzHQeDFPeCd+z3dKK7fNgzV3QeQhMW24F2noOFwgoQvgKV5wWCg/h5TqHMExPpiaEYboxelkaAY1AGwi0zL2RhyMhAqP+oIscR9OBaUEIHcndcNiPUH9gbnMrE7KJ6/c7bCV7oL4aJMeuZCeUbFYeQ/kj5LDn6dDztPDLN8z/Fjb+U9nkykOY0gsGzVbqui2bkMKDn0BNMSRlhn+opLn+4nyYdxeUFDYnhDYbDJ4AnbpDchc4/hQ4/Cng8Px0S37xzjdVOYqRN4XPfaGiDN5/HLZ+DyIg1JIQioUnTINxo92HjxoiM6XQexpMfMJzbELZ8/v/gV3vaIXRUO5Bw9yaEIbBJoThEjQhDMNN0UvSCGgEXCDQkhDKA/Gut5W4TCRLsusNb46AMyFMzsLuyKd+fwsyaF4Rm0rc0HuxHV7dNIZ4iuRFQelOKNvVQA5jVehlr9OUSmk4hJSKh3DV79snhN3GQa8zoMRFaKXpFRNSKKU5jr09/AU78nbDC39WnlEzZLRzd5j0C1j9MRTlgpDDUSfBpFOhfIPKF/a0meUoJHogXERmSgrguVugvNg1IewzHKZdAtUtvMEt7W4kvRFUemfzE7DpSRjx+/Ah6Z6epyjr10QIYy21bN7yeuilPYSWgu7FZJoQegGW7qoR0AiEGIG21Pl2v6vyyEbdrB80Qrw9AZu+kRDaoOtwarffC/ZqNXzKAGwpA7HFJuGQEg3Vh7Al9CA2ZWzbnhUhTMVboHhz83zDcChfIYqiP/xN5Qe68hCKF6jLMEUi2mviLS/JgdgkGHEjjLghYNsR8IEkZPTVeyB/nyKEXbJg2Mmw4PGmqRJTILsP1JfBhbdASpHyinnaCr6F/LUQLqGVB7bB87eq1bvyECZ3hkv/CHUuyL+z7WY+oX4Z5umJ0P0aENCEUB+FthDQhFCfC42ARiByEGiLEBregA+0lzBydtH9Sk1CGJuEPW0Q9VvvMq6J6XqiEQJqr9yDo3IPtsRsbAkZ2LpNJcaRhq3EA89KY75hQ/kKIYZS8D5UHkMJc5XcqrYIoSGScwEUuckrMxEVoSUR2jHLUhx9W3jmmNVWwyf/hTVLoGw7TLgUPngSaqqazkZ6FnROVS8C4hPg8rugWkRXvAgfNUMrh14V+rp3Iibzf7dAZWkTIZSw2MqSJpt7DYOzL4fKLe5/I9LDeBmWD71FWCtCQkc9s0z3CiICihC+yhWnhcJD+AudQxjEvfVnaE0I/UFPX6sR0AhYi4Cr+l2iLihv3UWRUReqt3ZPgjGbSQjjUrGnZlC/40FsGZPAZqf+0PxWM9rSjiNh8N1w8CvPViNew8byFfbQhloKEazMg58ehcK1IGtL7AbpwyF7CognyJtmKJAuxpAgDWexmSMHYcVrsOMz6H0sfPRsk5Wdu0FaOjichFfOuwEy6pWX19NmhJS/pYSnQh06WlUOr94L+3Og3yDoMQiOHILsgZC7HbZ9Df2Hw0knNS8z0p6tzqGjupSDp6eiw/drIoRxlmIxb3kd9NKE0FLQvZhME0IvwNJdNQIagRAj4IoQGoXq52nF0RBvT8Cmd8ohdGRNoG73E9iSe1J/8NU2p7AlZBLTbTpxnU+A0j2eL0PIlxS7l1DLUBU1FzEcIYXi6THIoZSXsEHlvrbLUHhiXaSIzZRKyOx8+PE7WP0RxCdBYhJ0SgN7WXNLj5kCE8a7F1xpiU/uSijaBNmTQ686KnmEX78LX70NezZCteRF2kC8oUJ4hw6G8rWe7HBTHzM0tttYRXp10wi4QUAIIYaH0FpCOFcTwrA+m5oQhvX26MVpBDQCzRBwRQilkyHHvj08Hvz0tvmHgDMh7NQXu60Ce+5b2Iu/b5sQpo7A5oC4wX/Flr/G+7mNh+ofYOAl1nqYKw/B4VVw6BMo3w3y75Te0Oc8lS9X50XOXEurW4rNHDdHqa2GW9u7EHbnweLnFTmirilf1Hmtp82G/l2hMtc7CwQHeVlkiw19QXQhhPP+BhtXQl01VBQrW5KSoVtP+MUfID7Xu1xJsW/HmyJTC5OeDM899m7HdO8gI6AI4WtccXoICGHPy3TIaJD319fhNSH0FTl9nUZAI2A9Au0RQucHPwkb7X+B9evTMwYGgZZlJ7InUJNzO1S0zhG0JQ/EJuIyjjpiB95BTFlu24SivZVJHt/+JdZK4otq5t4FKv9VWsscQhGFcdi9J0At7TTFZsQDOm5OeP0u6mpg70dQGQvz/tL+2TnvekirhtoWnkNPTpxJ+PtIrt2TnlwR+D6iLvr2Q/DNB1BdBonJqrRGYgLYq1R4rCitXvJ79yqjLVcnuaPyYiEcvKCBR06PGGAENCEMMKBRMpwmhFGykdoMjUCHQKA9QigAaOW96DgGUp9vwwONtjh6n059xXfYi1dDfTkORw222FRssZ0VaaqrMMoSxA3/B7btr0J8Z0gbARJKLOqiZmvrc3udqlsoJRCOvRuG/MoaDA9/A5sea5rLJITyUC/KmDVHoPdUKN0BZXvAUe/7usKNFBblwdolIHmEhRuh5wgYMB4WPgzFbXgAT5gBI0dCtRfhwM5omS+LYuJg6jLrBYQKD8J3H8HXC2B7Q56oePSkde8DyQngaFDR/f1jUPqtOo+eNueXYae+C+kjPb1S9+uACDQRwnhLrZ+7vBa0h9BSzL2ZTBNCb9DSfTUCGoHQIuCOEMrqDOW9gsgq2hxaVMNv9r3vwzcN9flkdX3Poz4F7AUrVDidFB2314CQueQsqKsCu4O4budi2/EWJPdSRegNBdoFTfa1/FweuiWHT8bL+hmc9JJ1qpy73oA976m1ybriU6HrcbD/fcj7WhWbzzhW1U4UlcyCH5TNvjbxkkmtRvEUnvQyZE7wdST/rsvdAa/fBxUN6ppmHUJbEpzxG1j7PhzereaIT4TxU6F/P4iR3Eo/mpBiqU05+i/WkX5ZblUZvPUQpKbD529CwQElHGQSQunTcxDE1Rtebi64QXlCvam7KGOY9oWDoqof26QvDT4CmhAGH+NInEETwkjcNb1mjUBHRcATQhiJRZs76n66sls8hD82eQiJ64xj8GXUbf0rVB1ousoWB/GdDGIY1/9mbHnfKxXKOCcPoXj/zOb8+ZF1yqMsZDI+Daa8Y61nZcP9Ssymx8+VymhdmcohjE1U4kjbX1GlVMQ+8Q6OfxAK1niXX9YSX9NTmJQNk1+y1l5Zi3gGX79XqWuazSSEBgHsBL9+GKobvIRSbsKeD1VuajB68vuRsOB9H0OXocpLaFWTvMHHr4WjToCtq2HTN60Joaiqdu2mvIS/exRKVnm/OkNR9W3r7fN+pfqKECOgCOHrXHF6KDyEl+ocwhDvv6vpNSEM043Ry9IIaATaQMATQiiXGfXYvtK1CSP1EDnnECZl4kjogk3C/Tr1oT5vIfaDTmqK8V2J7Xc9MWWHoM6pTEF7tjeWZgAyjoGJ/7Y+jHDPAqg8CDvmKYIghLD6iPJWdh4Cfc6CQ5+q3ELDW3g0DJoNNSVQtsv3nTXFl7qNgRNftM4jKivetxnmtsgVdCaE0mfaVdCnKwjBMTxpAWw5z4HVYaM538Eb9zeEhnaC5Q377ewhTEyBrN7Qqy+cfTFUbPfN6K3/VZ5HHTbqG34d5CpNCDvIRntppiaEXgKmu2sENAIhRMBTQmg8fDbUJsw6KfRy8yGELCKnNgmhKIzW7sdethlH1R5sCd0hZQCxvS/HUfg1tuQBRq6draJA5Qt60sT7mP89xCaBFKWf8G9rSZG5xpKt8MWvVHiz1B2UshNCCiWMVfIi00dBzzNgx8tKSCWuE4z6gypLkdpPkUlfmqk+KnONvBmG3+DLKL5d89V8+Oy15te2JIQjToTJk6F0p29ztHeVhJPXFMKk/1inxlmwH566Ua1q8BgQj+HngoFTTqiEk/YbBpf/CcpX+263ETa6C0ZbmAvr+2r1lSFCoIkQJli6grnLa6Cn9hBaCroXk2lC6AVYuqtGQCMQYgS8IYSNQgsxcOxd1uYNhRimiJ++fA+OvC+wV23BnttGbbX4rsQN/Ru2vNUq78qTJudh32KokrDMJBAVTyvJUMs1Sn28dX8HIb9SakLCR+srGnrFgM0Gw2+CvC9USQohhcN/B/s+gr7nqtzJCqfQS08wMPsYuZUfWO9B3/wNvPto+4TwuBkwZqTCJdBN8igL1sGoP1q395Iz+MLtKpdQ2oBjoKIQDuRA7i5Iy4T+I2HGbChd5Z94kKk2anX5lEDvkx4vqAgoQvgGV5weCkJ4iQ4ZDeru+j64JoS+Y6ev1AhoBKxGwBtCKGsz84ZCVXTcanyiZb7Kg9j3zqX+wFyXFtk6jSQ2cxa2kh3urW4MEXUob5x4BUMlqmKuNucZOLBMhUXWFkPZbuUhlJBRaeIp7H8hiAdNxHMctTDwMtj2svJojvwTHFnv3nZXPQwP+kFrvUn7c+C/d7VPCM+6CrISVS5ooFsoyouIDZu+hrcfbrKmc6IKIU1IhsRUOOHnkP+p/9aaRL/7eF2k3n80o3YETQijdmv9MkwTQr/g0xdrBEKIwKYnmibvf771OVChMN1bQihrFE9M0UYl5S/CIfIwrVt4I1B1kPrN/w970Teu12mLJ374I5D3res+QrYOfwdFPyqxllCGiLZc5bYX4MBSpRwq3jApnSF5cxIuivxBEUARvxHiJl5BIbOSeyht3P9C4QbPPaQt5zfI0dKG2nWSe2ZBq62GL96Cb5yUX51DRgeOhlPPg4otwVlMqAhTWRHs3QQfPAnVFVCxX+WG9hkB038J1Rv98ww6o7X5SRVePHNTcDDUo0Y8Ak2EMNFSW+Yur4ae2kNoKeheTKYJoRdg6a4agbBC4J3BajniURBPghRjj/bmCyEUTHa+odQZe0+DiU5EOtrxilT7yrdRu14KdDspirZhS1z/m7BViSBLeetvhfAc+kJ54GITQh8i2nKFEgoqD+9CBKVWYmIGVOWr+oM01KA76rew6y2I7wKj74GKPbDjNWWTFJmXEEFPQ2Zbzi9jbH3eevJQlAvrPoGv31VeUJMQjjoJxp8CtduCe2pDSZjydoMtFrZ/Aj37KTXV6gDnSmphmeCenygYXRPCKNjEIJigCWEQQNVDagQsQWDFBWqaw98rmfoZq6Lf++UrIXQuRSHEuX8DdpZslJ7EWwQc5Tup3/L/cJT80O6lcSMex3a4RRFv2esDnyjRFfEKijjLuPusL7HgzujqIthwnwprPvKj8hBJ2QUhiELWpLh413FQsBb6nQvlu5SgjOQ/Sr7hyD+o6/xpoSJH4iksLYCyYjj0DfQYANV5UBVgctQWNqGy2Xkt4uWVkifBaIZwzhGYPDf0YdHBsE+P6TcCihC+yRWnh8JDeLHOIfR7B4MzgCaEwcFVj6oRCD4CGxrqtJnKcqMsVgwMvoWtZ/CVEMpIZj5hqGqwhQKvSJ2zKpf6rQ9gL3BdL86WkElsn+uxFTd4lIRE5X0JxVsgJl6FVw7/fXiLCUmo6KbHYP9iRQRFOCYxHbImQ48pKlxUcgslvFBCnaVeYffjlW3iUZR/+9oMD+ELSljm7HbCbn0d39PrtjwFNaVNXlFPr/O1XzgQQn/uY+7sNv8/OO5B/eLLHVYd9HtNCDvoxrsxWxNCfS40ApGKgEkIjbyY95WXUAoup/SJVIvcr9vfB6lQ1mBzb53uYSIgRKl4A3V7n8ZR2XbNPUNltPSgCrMUcZXC9Sr/TsJD+82EY26PDI+5eHNk/aL6WV8N8Z1VrcH9HzTUVbTBmL/D+nuh23Ew6BeKOFb5QQYFZ7lv7FsI2SfDZItyCNs64eZ9zKrTH+2EMBRKqlbtnZ4nIAgYhPDgW1xxelJAxvN0kLnLqqDnRdpD6ClgFvfrsISwpqaGwsJCsrOzsYm8t5vmcDior68nLi7OXVf9vUbAGgScH6SMt8I7oPf06M6R85cQmjXY5IF66JVw7J3W7JWexTsEhBDufA26jqIudz6Oso1Qr/IEbYnZxPb9LbaSvSA1BUU0RoigeAVFOXT8nMh7KSLhrUWbYMMcqMyFqlyVGyze7GFXw663wV4Lfc5WpLBwrXd4ttXbuGfshKFXhfZ34Hwfi0lQIjvBbB2FEA69OrT7Gsw91GP7hYAQQsfBt7ni9GS/xvH24nnLKqHnhZoQegucRf07HCEUYvfUU0/x3nvvGRDHx8czZ84cxowZ0y7kCxYs4LnnnuODDz6waGv0NBoBNwg4P0g11tyLVQ8BQ34VnfD5SwgFFVFyFKGO2GSY9KR1Baqjc0eCY5VZmF4CCTv1h+TuUH0IW3I/HFV52ERZdO8iVbcvRtRDJ6jw0FCXkvAVDbF31+uQ1ANKtkDZHkg7SoWRHlwGcamQ2BWGXgeFa3ydpek6ybPcPi88ogp+fAji+yn7SguhUwbUFkL1bv/tbGuEbeINtYc2mmLPp1BTCbFxUFcC9blK9CoQLVw8v4GwRY8RFAQUIXyH2WekBGV8V4POW1aBrccsTQgtRd3zyTocIVy7di233nor999/P6NHj+axxx7js88+QwhfTExD/Scn/Hbv3s3NN99MeXk5SUlJmhB6frZ0z2Aj0DLUqiPkyAWCEMq+iDpj3lfWF+YO9pmIlvGdCGGjSVJLUrxnzoIxKX2VRzBSiaAYJwqp6+fArjeg23joNAgOfw2Vh6C6AOKSoPMQGHMP5H+nPIX+NqMG4X4YcHHo1YmFHC14Co4cUsXbU9Ogp5SIuRTK1ygl0kC2UHoIy47Ajg3w2bOQuw3i4iE9E065GBILoD4ApFATwkCelqgcSwih/eB8Zp/RyVL7XllWhq3HBW0SQm+j9ixdeAeZrMMRwkceeYScnByeffZZY4vz8vK4/PLL+de//sWoUaNabXtdXR35+fksW7aMN954QxPCDvLDiAgz28q9MXLktkFSFpz6TuSFzrkDPlCEUOYxH4qzToLJL7ubWX9vJQJtEUIRWMn9EiSsULxJkiMYDWqxJVvh2xuhZJtSF808AdKPUaqjkifYeagigT1OVi8xjDqFfjSzFp/cI057N7T3iLJCmHNa28ak94ALb4LydX4Y28aloSKEoqz6/WJY9nJTHULn5c36I3S1qwgGf1qoyon4s2Z9raUIGITw0LtcfkZnS+d9ZWkpMT1mNiOE3kbtFRQUcOmll7Za99///ncmTZpkqT3RNlmHI4S33HIL6enp3H333Y17ecYZZ3DnnXcyZcoUl/v74Ycf8p///PiZJ84AACAASURBVKcVIZS8Qt00AqFAwPbjg21Oa9u7AFvVYRxdR2Of9HxkCGt4CGDMrtdxiOpiIFp9FTE7XzHqgjmOuRP7oCsCMWpUjSH/WXuSYx1oo20Ve0HIv7T6KmyHPsVWvtcoI2Hvez6Oo2+LmnMdW/wjju//1KAmWqVsjknAlpSJQwqMVx7AlpCOY9wcHHmSL1nnO9zGmX/VyE90jLgR+7DrfR/Lzytt5cXY5j8EWxa7Hmnkz2Diz3BI/cUAtZgt/zHKe9Sf62fJDi/XE7NjHbx2r7qq8oAKB27ZrroHR+0Wv72ijTZO+zJqfidewu1Rd4kKC8X9zaPFBbGTEML6Q+9x+ZldgjhL66FfXVpCTPb5zQiht1F7JiH8y1/+Qt++fRsn6dGjB8nJ1uZEWgqeBZN1OEJ43XXXMXToUIQYmm3q1KnccMMNnHPOOS4hd0UIi4uLLdgmPYVGoDUCiTn/bBMWW3018Yc+xFZXRn3aKCrGPolDCltHQUvY9zYGWQhQi63YRVzepzgSsyj72fyowSlA8BgPS0IKrW4xlfuI3/sWjWe5tgRHYjeqRv0/arufYvVygjafiJQlFSzDJjmth7/GZm8ghC1n7DQI+5j/pXbfp36tJf7AImJqC6jrOoGK8U/7NZa/FyfXlmF78XZi8tvxAPYYhOOsK6gr2eDvdI3XJ+58DkdsKqWnW1dqIzY2lsQ1i2G5UnONEUIonryW7aI/UpdShqP6iF/2xh+UfS6iYvwz1GWM92usaL64U6dOyN50tKYI4ftcfmaapaa/urSYmOxzmxFCb6P2TEIoUX4DBw60dP3RPlmHI4SB9hBG+wHR9oUxAu3JtTuraXY9Bk58MTreFAcyZNTcWjN0NNoVWsP4KLdaWtFPsOVppSAqYZNdR8PEf4c2vDFY+OWvhqL1sP6+tkmCzDvyj9B5kKqx6Gs7uFyFpSZlwplLQ38/yN0JL9yqQtxdtcRUuPSPULPVV6tbXxeqkNE3HoCcBhIq+ZtSW7Jlm3QOHHsUVBzwz16zFuHou6NXYMw/hDr01QYhzP2AX5yZbikOry4pIjb7nGaE0NtncpMQDh8+nLS0NIYMGcLMmTONv+vmHwIdjhDK24itW7fyzDPPGMjl5uYye/ZslzmEJryuPIT+wa+v1gj4gYC7+l2NpLBEPVBHAyn0hBAm94TELmADB7HYastVOJ6rJoqLO980QkeNemyRLFDix3EKq0v3fQTf/E58KZDUPTwITLAAKtsFG/8JqX1g42PgqG0uHNP3XOh/IeycB4e+bFpF5vHQ7QSQunNCnM3W1uf2OuP3QHwaTJkP6SODZY3n45YWwEt3QPku6NoXkjpDbSUUH4L8hhDR3sPgzEugKsfzcd31DBUh/OZ9WPqSWp0rQnjh/0BaBdT4GXkkolmHV8Gwa3TpCXfnoQN+L4SwLnchvzgzw1LrX1tyhNjss5sRQm+j9kpLSw0xyMzMTOTvn3zyCZ07d2bu3LkkJCRYak+0TdbhCOGaNWu47bbbGlVG//nPf7Jy5cpGldEXX3zRUB196SV145ZwKRGWWbRoEc8//zzz58831Eg7YphBtB3+iLfHHSEUA01SKA8Y4hk46cXweBj0FXx3hLBzP+qqtuGo+MkoaG5LyMKW0IPY7IuxSWiaq/wr4wHqa6XmOHWZr6vT1wUKgaKNYJ5vEY8JBwITKNvaGkfUQ4XwJfdW+WXFOZDSS5XU6DEZ5KXG/kXuiZ+M3ZIQigiN3AfiUuCEx8JHiKeyDL59H/avh8JcyNsN3XpBpzRISoGflsHYk2HUQCjdrlBL6d1EqJxx9Obz3e8oYjxzUzB3tPXYO36AV/7ePiG8+h6oEfLrZ5i2qTTabZx6AaCbRsAJAUUIF3HZ1K6W4vLakkLismb45SFsueCdO3dy7bXXIs4eqRygm+8IdDhCKATv8ccfZ+HChQZqQu6kBMW4ceOMfz/00EMsX76cjz/+2Pi3eBOvv7554v348eN54IEHfEddX6kRCAQCnhBCmaclKZzweOR6wdohhI4uA6kv+xZ7gfrtNmuxKcQPeRBb3irXyG+V/J46GHkTDL8hEDukx9AIeIaA5A4e+RG2PGMI5yA5v7FJ0HUMyMO9eLF9aY31SW3Kyzj+fl9GCc41FcWwZim8/CeoaJEzd8L5MPw46HIA9jWIC8kqpNakNPHyOTdvPhcxF1FYtZoQ1onK6BJY+mLbHkLxDmbU+a8yauJiekJnfBP68ODgnCA9qo8ICCGszf2Qy6Z293EE3y57fUk+cVlntcoh9CVqz1xBWVmZETJ67733MnHiRN8Wpq8yEOhwhNDc96qqKiQWuWfPnm3WH9TnQyMQ9gh4SghNQySvpCQHpJ7buDnh4ynwBmhXhDA5m/q6PdTnveVyNFvKEOIyZ2OTPKq2minHn9wDzlyiH6K82Rfd138EJIzw8DeqpIbkl4lXUPIn/SlYLrUNa0og60QVDh1ObcsqmP8IVByG/F1QWwNSmiE+CVIzYPpV0GmTyq80W/+Z6m+7321uiTefl+5QYchWE0JZcXkx7NwAK56B3K2qDmH2IDj1ckiohLoiRf6lNqW/TTCqOQKTnoKep/s7mr4+ihAwCGHeR1w6NdNSq17/+DDxWdObEUJvo/ZWrFhBZWWlUWIiPj7eSPf6/PPPefPNN3UeoZ+72WEJoZ+46cs1AqFHwFtCKCvOXak8EeJ9GDBLEcNIaq4IYdoQagsX4ij5vh1r4og/6h/Y8tpRF5SHqOpCGHWz9hJG0rmIhrVKWKTkupZsgbThUJ0PZXt8L0QvuYX5a1Wh+1Pnh9cLDvEOvv847FyvRGViU8ARo8otSK6jrR46p8OFN0B54BRGjWMSqhxC5zO6dQHUVUFyFpSWqiL1O9ZCn8GQngEZ8VBXoqI7qguarpQanBL678nnxRuheBscdZ3OI4yG+0MAbRBCWJO3mEunZgVwVPdDvfFxHvFZ01rVIfQmam/JkiU8+uij2O2qHquQQikj97Of/cz9AnSPdhHQhFAfEI1ApCLgCyEUW4s3wcFPFSnsdSaMuy+8Hhbb2w8XhNCRNpjaA09DTW67uxnX9w/EVFW0XQNMrtRewkj9NUTuusUbKKqSG+6DQifyI3lxEgp5ZL33pNA4x++rvMFwEZFx3qGSfHj5Tig70r7K6JX3QfUGv+vyNTsc4UAIF0+BujiIOQ5WLFLksPJQ0zLPuBKGjISKDbB3QdPnyb1AvKHG/rr53F4PIibU4ySdRxi5d4egrFwRwiVcMi07KOO7GvSNj3NJyDyzGSE0+3oTtSe6Hvn5+cal2dnZHbKWZDA2ThPCYKCqx9QIWIGAr4RQ1lZ1GPbIA4UNIqksRTuEsL5gAfbSH9pFPmH4k5D7dfu7Y3oJj3swMsNqrTh7eo7AIVCxD77/swoTLd/ffNyYWBh3v1KM9KZt+68SUArXfNjyInj1Hsjf55oQSjjlVQ9AaYDrBYYDIVz1ByjPgAX/1xAiXKMiE8wWmwCzboeuVSA1Ks0moa7Zk9X9O/cL95+X74WELkooK6WPNydI941iBIQQVuct5ZJpPSy18s2PD5GQeUabhNDShejJ2kRAE0J9MDQCkYqAP4TQJIUHP1ES55GiQOoqZDSlD3VVq7EXLHW9mwk9SOh1HRQ3KBa66ike1EOfacXRSP1dRNK65bcnv2MpvdAWIRRbpGRMrzOgdKdnlpmhoiJIc2qLXDvPRgh+r8pSFTIqypuu6hCK4ug5V0F1AGsQimXhQAj3fALvPwt7NrrGOqs/zLwGKvxQQzVqrB4E/XIr+Gc6gmYwCOHhZVw8raelq35z8UESM0/XhNBS1D2fTBNCz7HSPTUC4YWAv4RQrJFcFKn5Jm+cE7vDcXPCW4CgPZXRjFHU5c3DUfZTm/sUN2QOMUU7XBf/dr7KUBytVw/U0V7yILxOdcdajeSHrb5NiYi4IoSpfWHoVSr3111rVBWNgJqaRw7B0ze6JoSiupla6n9NvpaYhQUh/BxevBvEU+qqxcbB1XOgsv2oh3aPhPFyayX0mQ4TWyizujtL+vuoRUARwuVcPK2hjItFlr65eD+JmadpQmgR3t5Oowmht4jp/hqBcEGgJSGMS1Urq6/wPucmUhRI261DKOGvI6grWISjfDOO2gJsIlaRkEVcn99jK/wRJK/GkybiO0WbYOAl4SXV78nadZ/IQUBC+lbf2vC7bSNkVL6RPMCRf4Tize7tMryDP0D2SeGnKtpy9dWVkL8XXrgapCah2Ww2OO9GSCyFmAr3NnvbIxwI4b6v4KW/QMlh16tPSIar74Oy9oSy3BgviqXbpb5lTzjby7Bjb3HV/SMGASGEVYc/4eLp1oYRv7V4H4ndT9WEMExPiiaEYboxelkaAbcImIQwZQDEdIeiwyBvlZOFGBZC1T63QzTrEAmk0F1hejGoUx8ciV1x1Jdji0/HVn1E5WbVV3uOh3hMd70NUoJCP0h5jpvu6R0CUhbgh7+p8hKuPISiONrvfCjxIHTSyB2sV2Qwc4J3awlV783vGM54Dm6DrAGQmAC2AqWyGowWDoRw11JY+Lz7kNFzfwXVLsrkeIrNzjeUiFYknQlPbdP9fELAIIT5n3LR9L4+Xe/rRW99tJek7lM0IfQVwCBfpwlhkAHWw2sEgoaAEMKY/vDj97B6GeBQU8XEwISzYdgwsB/wbnqzLEW41ir0hBCaFtvilLCGr00/SPmKnL7OUwTsNbD9ZZBcXleEsP8s9WLCWYWyrfHNlxidh8C05Z6uIPT95D4WmwzxnVXobCBq8LVnVTgQwt3zoaQe5t7reqUX/Q90qYSadsJKPdk9uacXb4FRf9CldDzBqwP0EUJYmb+Ci6b3s9Tatz/aQ1L3n2tCaCnqnk+mCaHnWOmeGoHwQmDbW7BqJaxb0fa6hBQeMwqq93q3btNTmJQNk18Krxw6bwihd1a37q0fpPxFUF/vCQLiHRRSmPdla5XR3lOhy3AQJVJ3zQwXHXZNZNWdC0QutDtsnL8PB0Io97GqYqhIh7cfbQhldwpnP/8G6FQDNqdQWm9sdO5btgP2L1XqpOIl1K3DI6AI4edceFZ/S7F4+6PdJHc7WRNCS1H3fDJNCD3HSvfUCIQXAl/9B977T/truliEGYpd191zdbWQQlH/S8qCM5eET51CKwlhFD9IOapyscXE4ag8CEk9sElNyrhO4XW+O9JqagpVGZjD34LsSWofEDGZ1AFQ5qG6qJRLkRDUSU+FtzBUy33tiIRw72IoKQVHAlQJEbTB7g3QR/Y8BeJKoTZAIbM6j7Aj3Uk8slUIYUX+Si48a4BH/QPV6Z2PdpHcbbImhIECNMDjaEIYYED1cBoByxBY/AB88mr70834DfRKUSqi3jajHl8+ZIlAxcveXh2c/lYSQlFs3PoCiFjPTD+k34ODhG+jSi5R+Xbqtz4JQkKkxSYTkzEWW79LDXKoW4gQqCqAoh/B5oCYZEXupCi9w+7ZgnKeg5i4yKs519EIYfFh+O41WPKc2ldbDGT0gt5Hwc+mQ/UmFT4cyGaejRmrwuflXiDt02N5hYBBCAu+YNZZA726zt/O73y4k5RuJ2lC6C+QQbpeE8IgAauHtRiBTU+oAryDf9l8YlFxK8qH/Vsgsx+kZUJ6JsQnWbzAIEw37yb48WuwJar0QXmwcNSCo7opd07CRseOhHIPQs5aLtFZwn7Sk+HhdbCSEAoeRnhZKkTJg5SjaB32jfe1eRhtnY8iZvifID4jCIdVD9kuAlX5kPcF7H4HKvZAfBdVBmbwFVC4zjNBpHAIhfRlm10RQskpFK+1vbqhLIcXolDtrSOUONVUwZqlsOB/2yZ9qekw+w6oWOcLkq6vMb3Hk+dGjthQYBHQozkh0EQIB1mKiyKEJ2pCaCnqnk+mCaHnWOme4YzAO4Mh4xhIHwVZP4fuYyE/H96Uos8lzVd+9u+h/0joam1R1oDD99VcePVBKC2E2mpFCOMSILMPxNQCdXDRLdCl3PdaXuFWpN1qQhhFD1KOigPYf7yrXdGOmD4zsfW7LOBHVQ/YDgIiorL/I9gxr3UOoVw25m9Qsq19r5EpKNNtXPgWo3cFQavyOSkQPwAqKmD3JsjqB8lJkGyHqv3+H6VQEsLCg/D0zVC62/V+TjgLxh7t20s8V+hE0X3M/wOgR9CEUJ+BthDQhFCfi+hA4Kdn4adVUJivPIUnXaPqPIm3TIiSqNglpDfZOvOPcPTkyLW9qgzWL4YnboK6Nt6c9xgEGWlw2Y1Q6We4o1GkvQ7GPwD9LwgtZlYTwn0fqpyuSf8JnYdUFAk3PwUVToqxKb0gpTdU7Pfs886DYMhs6tf9GcTzazbJHZQ/8ll9FbauJxCTMlR9JvutW/AROPQp5DzrWmU0sSsMu7b9shMSAbBvIWSfHHnCIc6EUO7TdT1gwZNQWdoc+59fCr26g8OH8HdzJMFp7wfQ45TQ4HRwOzz3Z/W7NcNCxWaHRHdIqLANho6Bk0+Fyu2BO3uaEAYOyygYSRHCL5l1ltUewh3aQxjG50cTwjDeHL00DxEoPADPXQP5++CoSdDrGFgv6pufQlp3SJBwymqoLVTEUIRS0vrCL++F5BToPszDicKo248rYcHfYchJsODfTSUnzCVKUeNbnoeYzf7noxhews+h21iYMj+0IFhNCEW5sWAdjPpj6CTbNz8BPz4EtU5FuuNTIDYV6ss9+zxtCI7sn2Hf9VKDomHDNsbEgi1W1a6z12Pr1J+YjJ8pj/LJr4V2rzvK7DnPwKEVrgmh4DD2XijaCFKmoq0WLYQwbSI8/afW9zPT5imXQ/+uUJ3n2+kINU7b18Kr9zYQwiqI7axSGmproK4G5L49YgKcczlUBjBsVBNC385LlF7VRAgHW2rhOx8KIfyZDhm1FHXPJ9OE0HOsdM9wRKC8CN58EDYtgiEToaYektNVnsaBhoK+Uqg9oyvEVkBcZygrg5pquOJvsOZ16J4Jx58OZT+CFIFOHwHJPcOr3EJL7D96Dj59HLpkwomzYe1ykHAkecBPz4JjToJePSBmb2Dqepm5dFOXQUqf0J0EIYR5X0Glk7csuZdSZZSHvUB/Xr4XKnPhmFtDRwil5EDBWpA8M7MldVcvNqRkgYefO7oMxf79tc1JRUwCxCaqHDV7DbbMU4jJOgMS06Db8aHb544ys4R6bnoMSre3TwgHzVZeWxGaiVZC2GkgfPUl/LTS9e4npsBlt0L1Zteksb2zY77gGXp1aEpzlBTAY79RhNARB4d2Q+euKn1BPKJHcmHEJDjxLOgiJPFQYH4JmhAGBscoGUURwq+YdZbVhHC7JoRhfIY0IQzjzdFL8wAB8Qp+uwiS46GqCuY/CpPOh6/fhyOHFUGKjVXF2nsNgaKDUFoA2OHiP8Pnz0B1CQweCyeeDAdEtTNGhZnKn+4nKJJo/DkqPEiivEl+fQ6sd/LWDRoPqd0N9XJESGfXGjj9FzCwgTR4AGW7XYwHisLQhk7KAoUQ7nkbDn/XtNzM46HbCSAPe4H+3F6rztAxd4SOEPq7d+b1tcXUb5ScWtehaLFH3QzdTgzUjHocTxCQcOC8lYoQSvF5W5wShbI71aUb/Vco3epaXCbUni9P7HTVxwwZTTkKlr4Neza2P9qV90HNZtfe0vaulhDwioNw3IOhCX8X0rf4OfjuXZUjOfZ0JQi2byt06wnxCXDMZFgwB6ZeAT2ToLpBDdgfjLXKqD/oRd21QgjLQ0AI53+oCWE4HyZNCMN5d/TaXCNQUwmHdsGHz8CmryCtK9TXw7GnKMK3dyts+Fw9VEluhiiLCsGrrQJHDYia28ybYMXzao66Kjj2RDi2DxxYAjWlUF+qwukMgiihdTGqNljmCdD3vNCqtX36Cnz0YPsn5Jd/hZh9/oeMyizhEDppEkLxEFY5eQiTnDyEgf5cPIQVIfYQBvI+UJVL/Ya7QGqTtWgx/S/DlnWaUrjUzToEDiyFbS9AbRnUyn1HIhlSVG068dyKB3f4De3nEBph3Sth4CUw/n7r1h6ImUxCmDQYFr8BkmfXXrv8LrDJfc0pF9bTdQgxknv5tOWhi3Qo2A+Lnwa7Az5+vrnoWfYAGHsK2OwQ54ApZ0BZQ6SLpza27GfUIXwFkrPh7G99HUVfF0UINBHCIZZapQjhJB0yainqnk+mCaHnWOme4YTAxq/gnUegvBgObIUuXVWIqJC/K/4Odjv89y9qxeIdzOoPRXnKgxYXD8efAUlxsGN1k1Xd+8CFv4fyDU2fyZv36gIV4lOZr3K25IEiJh6G/Co0YUeyOslFeeZXrnckuTNc9ieo3RqYXTPzCPucBROfDMyYvozSEXMIfcGpvWuq83Dsn4+j4hDUHoGUvsR0nQgZo1VItW7WIiC1Pre+CFv/D6ROpNnkBVSnQTDyJuU5rGlN4hv7hssLG1+QMwihDbqOhS8+hR8/a/CQilJyiyblgn79dyhzum97OqepxNp5iCKEoWz7foJ7Z0F1lcodTEpVf0oln7ASTpoFXTrDCZOg2k9CKGVLDq+KzJcFodyjKJ5bEcKvmTXDakK4jZSumhCG69HShDBcd0avyzUC+7fCC7ep76srYfdPkN4dDsp/nA1qbb+4G3J3q/AcCfkTQnh4t0raFy9i74GwcUmLOWzw6/8H9TKOxPG00YQYHfxEzSNv8UNVsFyURZc/Dsvntr1O8Q7GHVReh0C0cAlJs5oQhoPKaCD2r60xaovVg3dMoqr3pltoEJBQ0D0LwF4H1YfVb1ZClSVUsOepkDoAyndCXTvFyiOZEIpoUtwgyNsH8d3glb9DQgIkJIK9vPmeHD8djh4FVXu936vclVC8BYZeFboXeeaq37oPFj0N8Ykq8kRIoShHm//vCPG9+n7omQJVfhLCXW9AbXl4qER7v2v6iiAg0EQIhwZhdNdDzv9QCOFE7SG0FHXPJ9OE0HOsdM9wQWD9CljwuFqNww4FB1UeoKi1SYioKLadeRUUHYJufVSdPvlciGFSigrDOpgD9cXNLZKi9Zf+CSoaPITiFZTQUXmzLF5CeZMvD2qmh3DkjaHNK5NSG8UO+GElHN6rbBNV1TNmQ/mPYGvjDbuve9hRCaEWY/D1xOjrPEGgugg2PgqpvVT5EHlwF5EgEVgRoSRRFq3KhX4zlfCMqxbq3DhPbHXVZ+0r8N6/VS3Vrv2h33j48D+QIsJGPaC+SF055jQYORocPtYiNMNFT303tLngIoT2yt2w8m2ob+cefcMT0CseSv0ghGaZjXDwivpzRvS1AUVAE8KAwhk1g2lCGDVb2YEMEeGYn75sMlgeJI7sgXqbIkY1VTB6ivrPNm8X9BykHiaEKH4zHw7kQN8Rqni7hGIJyRNi2X8EnHgC5C4Eu9QvNPMHbU05hMm9oddp0O/80D5UiPUSaiU1ymK6gV3Ec+LAXgbV+5TnJ5CtoxJCU111xipISAskonosjYB60bT3fdi/CAp+aMiLk7j2hgiFAZeAoxZ6z4DCta4RM7xAFaooffrIyEFW8r0fnKpe2NkSoboWOnWDkSfDkUNQVqQUk8WBndXN99p8Zo5l9kmhqT/ovCOS5jDvFti6vkkJu+WOxSXC7S8DG/3LAd/9njpjo24O7cvLyDmRHWKlihB+w6wZVnsIt2oPYRifME0Iw3hz9NJcIPDdhyoU1LmV7gCb1GUDdm6A038J21fDvs0qTPS86yAjG569BWw26DUYKnYotVHJO5R2/cOQ87AScZCclu7HQ3xnVYZCJPhFaTScSIFzQedgH5aOSAhFtGLrCxCXGrrQ4GDvqx4/tAhISZG1f4W8L1QtSLkfSSkQCR+VmoPyomrYbyDrJMh3UtZ1XrVxTp9XYb+hCmH3FcXPX4fFD0JMEpRXqtI50iTPu9dRIFEbp14OmelQvMr3F13b/quunTw3tGJgJk5v3AWrPwR7AuTugnrzBZ5N5RLK/09X3Q7la3xFFsp2wL6PlZjMmUvD6/8u363SVwYAgSZCaG0N5vkfCiGcoENGA7CHwRhCE8JgoKrHDC4CZnFf51lKcpQXL74TlNfAudfDli+gWy/1hvWnj6H4EJz7V/j0NaUgWrYXUjKhW2+4+DYoXQ2ZEyH9qNAp0HmDnCaE3qDlfV95oNq/FLInh96r4P3q9RWRgED5fvj8EqgpUi+fhBTWlUFssnopVVeuXkYd9VvI/bxtiyL1nErO3AdPwLr5UG2HPBd5gdOvhbIDMHka1LhRIG0LIcmvzF8LXccoD2o4tD1fwRO/BVs8kKBEyqrLIamTUsEedzKMGw0Ve3xbrbwk2D5P5SeOfyA0JTZ8W7m+ygIEFCFcxQUzrCaEOaRqQmjBDvs2hSaEvuGmrwolApKAv2ohfDKvaRXFm9VDlaj0nf8XqCiAnz6HssNQVgJxSZCQAZ0y4bonIT4VKsogNU29je6UEUqLfJtbE0LfcPP0KlOEYtQfdLiVp5jpft4hIPetb29W5SbKxVPUIqcstTd0GQZDrnYdMnpgOZTtgtF3K+XjSGkS6r/wSVj7DhQeaagP28biz70Rtn0Bl9wKZd8rr6mnzSi5ME8R7Mn/DQ/voKx9z3twoBDee1wpYgv5NyJTgLGnwbEnQO0WT61s3U9ySiWqIxxCZH23Ql8ZJAQ0IQwSsBE+rCaEEb6BHXb5RVJ8fR18+S7k5kDB95DRA048G1JqoO80WLsaDucq0ZmMnpCeBWdfD126RQdsmhB6to9GCF6NZ32dexlhZvWRl5flvaX6ilAhIPldX10DhWtULdSWZEdIQu9p0H8WSPmAlq0xrDkFpi6LjMgGZxu+eAs++iccFmEwp5Ibzn0uvQu+mgdnXAHZcVDTQgysvb0zcujyYcBF4VWfUdSSReWXXpC7D/bsgdQMJQzWJQNiqiGrB1RtUTnu3jQ5J1KrVYeKeoNah+rbRAiPstTu+R+Kh/AEHTJqKeqeT6YJoedY6Z7hiEBx8j9ZtwAAIABJREFUPuStVMp8tgQYMg2SstVKpTRDVYUSJkjpAvEJIPX5oqWtuRPEw2A2CTlLG6GKjgf6c3kIE2GGnqeHNnzSm7ITnfpBUgaO+nJs8V2h5ogKPZMwPHfNrFmmizm7Q0p/7w8ClQfhi19D2U714G/kDYrASmyDqJVNhSwfdX3bIaNGOOQP0Gd6aOuD+oqB1IZ9+krYux3KjrQeZfw06JQK276Gq+dA1SbPX+4Y2KyBpKzwy6Ez72Oyz6njYPVnkLtT1SEsbFBR7doLZlwJMfs8J4WGquj7yiM66Ul1v9ZNI9ACAYMQFn7LBTMsJoSLtmhCGManURPCMN4cvTQPEXh3hOoYaYIKHprnsts3N8DeBU1fJ/eC/jNVqFCgPxcVQBFlEG+FhF6FqnlICB1pg7GXrMReug5HbQE2ydVJyCK+z2+gdL8q/txek3DRok26mHOo9rmjzFtXCjvegJ8eVkSwmTfIoQRmjrkdpGyAFBd3ro/amCcWG17hkN7u3eZF8MZjsKOFB3TcmZDeDbZ8pnLrLroZ6jwswWASI6kVe9LL4RMqamJj3seShsGHr8L+nLZRk/z2C38PFT+6R1VeYu15X+UNhrokkvvV6h4hRKCJEA63dBXzDUJ4vPYQWoq655NpQug5VrpnuCLQUQmheAhLnDyEcU4ewkB/Lh5CIUgR4CF0pA+jruADHCVtqzLGD7wbW8WR9kPPdLhouP7ao2td1UdgixRmT4Wc/1O5hGaTOoSDrgApKXH07aomoXM5GdM7GOl5Yj/9A1KOg505sPkbFdKfmAzlBZDzhULj4tshudCzcFGJkNj5ZgMxuik883+FENYUQmUGvPZg+2d65g3Q1aEiHFw1gwzKy0EbDLgwvMJjo+sXGxXWaEIYFdsYcCM0IQw4pHpAyxHoqITQyhxCeeDY/Q50GwdT5lu+xY0TuvMQJmdTX7eD+jzXaoK22E7E9fsfbEUuFAuNmmWfQafBMG156GzVM0c/AhIiuvkJqDgInQaoenwiLiMlbir2w8HliiyO+qOqU2g2UyxFPGDye4yk2oMtd9W8j6UcDds2w+6fIHeHyilM6w7TrwGHKJBWuT8P4jWV6IiaMuh9ZviG0cp9TPZ+ex4sdxJHa8vC46bDcaOh3IXiqLPNWZNCG8Hhfod0jzBAQAhhWeF3XDDDWg/hu4s2u/QQ1tTUUFhYSHZ2NjYpDaab5QhoQmg55HrCgCOgCWHAIW1zQKNIe4hrnbkjhJ0HU1eyDHvRl+1iEj/0YWyFLvKRzGLOxz2o5dqtOVkdexbJ9113jyqPU1sG8WlQlQv11QqXfucrsRjJNzSbKZYy9Co49s7Ixs/5xVZKP7B1BSlJkdoN6oqgZp9neb+Cgqmu2XU0nPRS+NbeMwhhNewshKVSgL6d9rPz4NjhUN5GWQ5nMphxdHjbHNmnNKpW30QIG9JtLLJOEcLjmoWMOhwOnnrqKd577z1jFfHx8cyZM4cxY8a4XdWKFSu47777uOuuu/j5z3/utr/u0D4CmhDqExL5CGhCaM0eRgIh7NKf2rxXcVTubBeTuN6/IaYuoXUImpF79IFS6Dv7W2tw1bN0bASEGEh+4MZ/gNQldG6Ss9tlKFQcaPo02lQk24p08EUZWLypJdshqTucOj+8FVfNkNHyLvDGI+2f//Ouh+621iGjmgx27PuGH9YrQvg9F8ywmhBuakUI165dy6233sr999/P6NGjeeyxx/jss89YsGABMTExLq3cvHkzN998M3a7XRNCP86C86WaEAYISD1MCBHQhNAa8COBEIqHsOxz7IWftotJwlGPweHVrWX+Te/gqJvDM/fImp3Ws1iNgDzcS6jywU+gJAdS+0JiN1U7VWoMmq0xPy42elQkAxH6LmSwOEcpik5+OfxDaBtFZYbC0vmwa0PbJ67HIDjvSqjY1Px7kwxWF0O4e0Ot/i3p+dwiEE6E8JFHHiEnJ4dnn33WWHdeXh6XX345//rXvxg1alSbtkifq6++mt/85jc8+eST3HHHHdpD6HbX3XfQhNA9RrpHuCOgCaE1O5TzHMTEwYxVoQvFchcympCBPa6Suv3PucTEltiHuJ5XYSve0byPs3fwzKWhs9Ga3dSzhBsCEhIohDAuGeprlMCMUavOqRkvLA4rtd+JT4abBb6tx19CaBDpFQq3cFQUbQsV5/tY4ghY9mZrUthrKJz5C7Bvb/7iSpNB386ZvqoRgSZCONJSVN5dJB7C8c1CRm+55RbS09O5++67G9dyxhlncOeddzJlypRW66usrOSaa65hwoQJ3HTTTUydOlUTwgDtoiaEAQJSDxNCBAxCaIOZG0O4iBBM3fJBSsKsknuAPQ5ibOCobB5q5u8Sd7+rwpYmzw2djLs7Qig2pvahvm4n9YfeaGWxlJ+IHzoH8n9qrtgoPQ1l0To49i4Y8it/0dLXawS8Q0BEQ+R8u2rRFipq2ukPIXQmg+PmRE7Ob8v7WNJQKCmHwjyoq4Ee/aFzClRuBexNJ0KTQe9+U7p3mwgoQriaC862mhBuJDWjOSG87rrrGDp0KEIMzSYk74YbbuCcc85ptn4JD/3zn/9sfPbwww8bIaWaEAbukGtCGDgs9UihQuDL6yGhL/Q6C+LTISEZUtMgPjFUK7JmXucHqZguENsbNnwDh/dAchfomgnHTFDhRs5y9b6uTuTva8vh1PdCF5LlCSGUam0p3bHbj2Av/QGq9xrnwhbXjbies1Uh72b13gCziLVWFvX1dOjr/EWgPUJohIq+pUopRFvBcV8JoUEGP1VF2MffHzlkUM5JW/ex+E5KtEtebtaVNS9BItdoMujvL0xf34CASQhnnt12SGawgHp30UY6ZYzz2UOYm5vL7NmzmTRpEqmpqcYyly1bxrBhwwzyOG3atGAtvUOMqwlhh9jmKDay+DB8Nw8+fBiqK6HTQOh6FJxwDow5FTJ6RK/x5oNUbBoUxcF7/25ta3o2XHgT1EgNM4d/WERCDqGzhUmZkJimHqJtsVBbAWW7W2PgnJc1+b+h8376tzv66khHoD1CaKqK9p4aPaGi5n75QgjNwvORSAZdEcL2zq8mg5H+6w6r9YcTIZQcwq1bt/LMM88YGJmkr60cwvLycubOndsMy3feeYexY8cyY8YMTjnllLDCOdIWowlhpO2YXm8TArXV8M37sOI1yP8WakrUw7+ETorS3JTr4NSrILlzdKImD1Ix8RAzGF7+XxFsVm+XjRo+9VBfoeyWXJSzf9EQfuQHFJFGCD01VaTqpeZbNOVleWq77hc+CLgihBIqevhrJZgSjbmt3hJCowj7++pe3/+CyCzC7mGkg3E4NRkMn99olKxEEcI1WO8h/KmVh3DNmjXcdtttjSqj//znP1m5cmWjyuiLL75oqI6+9NJLbaKvQ0YDdyg1IQwclnokqxHYuwleukvNWroN6qqgpkj9ByoPC0KOLrwFjrtYSbdHW5MHKalPtnEvLH8LyoqUlzQ2DuLiIasv1IkohR2ufQiqf2odKukpJqbgihSmP9V10XdPh/O5nzcPUp5MUrYD9n2sykxE48O2JxjoPuGBQFuEMBpVRVui7Q0hNMjgggYyOCsyyaDY7819zKytKC85pbZiurV5X+Hx49CrCCQCTYTw6EAO63asdxcJIRzbqg7h448/zsKFC43rJS9QSlCMGzfO+PdDDz3E8uXL+fjjjzUhdIuwfx00IfQPP311KBHY9DW8/XATITTXYq9TxLCuAk6eBX0cMO7v4V2Xyhcc5UGqy3h4dy58u6jtEfqNAHsZzLgKeiZBdaEvM4HhpVgFAy8J7UOYNw9S7iyVFwfb56lwUinurYVk3CGmvw8mAm0Rwo7gvfaUEJq/V3nRN+DC0N6H/D0Hnt7HjNqK20DC3zUZ9Bd1fX0DAooQrmXm2VYTwh9bEUJzU6qqqigoKKBnz57t1h/Umxg8BDQhDB62euRgI7DkBVil3ioZHsKWTUJIB4+AsdkweDb0PD3YK7J2/M3/gfq+8P6LsGFF23OLsE6PfnDZHyApH2rLfFujocBZH3pBC08fpDyxMhol/D2xW/cJTwRaEkLTKy+hoqe9G30vtMxd8IQQNhZhL4WMY0IbpRCI0+PJfUyErqRWaqTUVgwELnoMSxAIR0JoieF6knYRiFpCKPK0Uryye/fuxMXFuT0G3vZ3O6DuEHwEtq2B1yR3zokQindQSI+EWuGA6b+GbBuMuSf66srtfANyDsCWDfDNAtd4i5fwqtugWoobO0mYe7pDEla5fwmEgwKnJw9SntgVrRL+ntiu+4QnAi0JofHCogBG3QzDbwjPNQdiVZ4QQjNsMlqKsLu7jzmX05j4RPS9zAzEudFj+IyAEMJSw0N4jM9j+HLhe4vEQzimWcioL+Poa4KDQFQSwhUrVhgxyELypF199dVceumlLhFsr//SpUuNGOaW7YMPPiApKSk4u6JH9QyBI4fguT9DVTmU5EB1kSKChqhKDIiM981zYdDPPRsv0npteQ0Wz4d+Y+HztyG3DQVNsenSO+DogVAuNa18aGZ9vvEPhF7a3d2DlCfmSR7SrreUXH20Sfh7Yr/uE54IOBNC0zvYEXJb3RFC01MmWERL2GR79zFn0ZxIK6cRnr8svaoWCBiE8MgP1hPChRs0IQzj0xh1hLCyspLzzz+fyy67zKhX8sknnxgFLF944QX69u3baivc9V+yZAmPPvooTz/9dLNrBwwYgM0gHrqFFIEd6+CVe+DAMkUERUxGirMn94TL58DwiSFdXlAn3/U2fPE5/PQFTLwUVn0IuzY0TRkTCydfDCedBeQosR1vW+5KKNoInQbBtOXeXh34/v4SQsFg55vgqIUhV6rcQd00AuGAgDMh7CjeQcG9PUJoij7FJcNJL0dPSRhX97HG0NiyyM+TDIfflF5Dmwg0EcJjLUXoPYMQjtYeQktR93yyqCOEn376KXPmzGHRokUkJCQYSFxwwQXMnDmTK664ohUy7voLIZR6KB9++KHnqOqe1iJQkg+vXAXlldBlOGQOhskXQpduqkh9tLatz8Ouw7D0VWXhMVOh5zDYnwNduhsiqxzKgZ+fBbU+eAedw5amzA8PdTt/CaEh0rAdoiX0LFrPdke0yySEEuWw/ZWOo3zrihA2ij7FwLF3RZfok6v7mPECbpO+P3XE37+FNmtCaCHYETRV1BHC119/nTfffJP58+c3bsONN95I//79ueWWW1ptjbv+QgjFw3jccceRmJjI+PHjmT59ukd5iRF0DqJjqSUFigR17hYd9rizQh6kkofByqWw6UvVW0pOpPWA2kooOwKX/BlSy6DmiLvRmn/vHFYZTgqc/hBCk+BqkQbvzoLubQ0CJiEUUlC8GQZcHNlKmp6i5ooQmqJPWSfC5P96Olpk9GvrPuYsIjT55fB4ARcZaOpVeomAIoTrmHm21R7C9dpD6OVeWdk96gjhs88+i3j9XnvttUYchQimpqZyzz33tMLWXf/169ezePFi0tPTOXDgAF9++SWnnHIKd999tzFWbW2tlful59IINCIQ85PKbbXFD8S2/nvYthbEWxoTB+mZMP1KHDF5OKTshBfNVnWYmP2LjBDc+j7nYx97nxdXB7drzK7XQR6cvWzNbBpzH/a+53s5QsfsLmHxDoejYxpvsdW2ir3Ydr5GzM5XDEXf+pPfwpE2wuJVWD+deR9znjnmyHps+atwJGVSd+pHUScI1uo+Vl9FzJ53sNnrqD/6duyDWkczWb8z0T9jfHx89BvZhoVNhHC0pfa/t1AI4bE6ZNRS1D2fLOoIoTuPX0tovO3/9ttv88wzz/DRRx8ZXsLS0lLP0dY9NQIBRCBhyz+ayGFKX2LiMqGmClIycFTlY687iENKb3jRbNX5xB+U8Ggbtb3Po/rov3lxdfC7xu99C3lw9rbF738XW21ZWNrkrS1W9teE0Dq0Yyr3Eb/1KeIPvI89ZSAVJ39g3eQhnMn5PmYso76ahL1vGPngVWP/QV1m9ImCtbyPxRWtQUhwfdrRVE5qSAEI4Z50lKnFUSCF0DtaU4RwPeefbTUhXEdnTQjD9rhFHSE0cwIl5898+yMiM7NmzWo3h9DT/p9//jn33nsvWmU0bM90x1lYW6FWMfFg99FrLSGVuV8pYZ7+F4RnuJovIaOmME7XMUqlMCGt45wRbWnkICCe7+/+AAXrYOjVHUfwqOV97MByEDGZaAwVNU+j831MckZ3vqXuuxIamzkhcs6sXmlEIqAJYURuW9AXHXWEsKKigvPOO4/LL7+8TZVR8ehde+21Bjk866yzcNd/3rx5HHXUURx99NEUFxdz++23G57B5557zqfNEVXTI0eO0LlzZ+P6lh7GcP9chHokfNaT2o4+AaQv8hwBd3Ltno8ER9ZB7peqFEO4kkGxx1tC6KxSGC7CON7si+7bcRAQQvjpRSrfd9JTHaf2nPN9zBDUmQdxKTB1GaT0ic79d76PmQS49zSY+GR02qutCisEmgjhGEvX9d5C8RAeo0NGLUXd88mijhCK6cuXL+eBBx5oROHXv/61QRClFRUVcdFFF+H8WXv9H3nkET7++OPGsXr06GGomLZVwsIT2EtKStizZw+ZmZlG98OHDze7LNw/lxALsV0TQk92O8h9AkUIRXmzOAdik5RXYsivgrxwP4b3hhA2qhTGhr9dfkCiL40SBPK/hU9nQVwqzFjVcTzZzvcxkxxFu6COeR9zvkdJWZ9oJcBR8hONFjMUIdzA+edYTQh/oHO6JoTheo6ikhAK2FKUXkRgsrOzG0NH29uE9vpXVVWRl5dnePUyMjL82svq6mrD0yjESlp5eXmz8cL9cwnDTUtL65Bx935tfDAu9pcQysPIvsVQlQuJ3eHYO0JfeN4dTt4QQlOlUL95d4eq/j4cEDj4CXx1LaT2D4+an1ZhYt7HGr2DQoi/iW5CbN7HCtfB4VWQfVL0KaladX70PF4j0EQIx3p9rT8XvLdQCOHR2kPoD4hBvDZqCWEQMfNraE0I/YJPX+yMgD+EUMpK7PsI7NWQ2E3l1qWPDH98PSWE8qCV91XHqeUW/junV+gOgYp9sOc9SO4V/i9m3NnizffmfcyswTfwkvDMX/bGJnd9zfvYtv8airJMerLjhAi7w0Z/H3QENCEMOsQROYEmhBZvmw4ZtRjwaJ7OV0JoiscINhlHR5bQiieE0FmkQT9oRfMvQNsWDQiY97Gc58AWC6e+Gxkvp/zBXu5jBath19vQeUjH8gj7g5u+NiAIKEL4I+efY7WHcK32EAZkB4MziCaEwcHV5aiaEFoMeDRP5wshlDyl/NUqXzCcxWNc7ZsnhNAIFc2H3lO1SEM0n39tW3QgIPcxU/ypo5AjuY/teAWKNsGwazqOomx0nNiIt0IIYYlBCMdZasuChUIIR+mQUUtR93wyTQg9xyogPTUhDAiMehBBwFtCaIrHxCXDMXeEt3iMr4RQvJ8HV+hQUf0L0QhECgILJ4J49e01MPovkXlf8hZrIYQ/PQy15R1LUdZbnHT/oCCgCOFPISCEazQhDMqOBmZQTQgDg6PHo2hC6DFUuqM7BDwlhCIes3cBVBdDUneY8O/IrXXVnofQWbFPh4q6Oz36e41AeCAwf5hah9Thi+ZSE85oS3jsunsgrhPM3BQe+6BX0WEQaCKE4y21ecFCIYQjtYfQUtQ9n0wTQs+xCkhPLSoTEBj1IIKAJ4SwJRmMFPEYVzvcHiEUyfrS7VqxT/86NAKRhICobJqtoxRl/+5/YPc7kH2yVheNpLMaJWvVhDBKNjLAZmhCGGBA3Q2nCaE7hPT3HiPgjhCKkuieBfLqPfLEY7wlhB2loLXHh0N31AhoBMIWgaXToGQ7DL1S5w+G7SZF78IMQli0kfPPsdhD+MFq7SEM42OlCaHFm6NDRi0GPJqna48QRiMZlL105SE0hWSGXqUfsKL5zGvbNALRgMD6OVC8GYb/PnLD96NhHzqoDU2E8DhLEVhgEMIROmTUUtQ9n0wTQs+xCkhPTQgDAqMeRBBwRQglTHTnm2CvjR7PoLnjbRHC8n2w9wMtJKN/FRoBjYBGQCOgEXCDgCKEmzjvHKsJ4fd00YQwbM+nJoQWb40mhBYDHs3TtUUIzZzBmrLoI4OuPISGd7AARt0Mw2+I5h3XtmkENAIaAY2ARsAvBDQh9Au+qL1YE0KLt1YTQosBj+bp2iKE+z4E8Zh1HR1ZBec93aeWHkLtHfQUOd1PI6AR0AhoBDQCNBHC4y1FY8EH4iEcrkNGLUXd88k0IfQcq4D01KIyAYFRDyIItCSEBd/C4dUqdPLU+ZDSJ/pwakkIRVm0bJf2DkbfTmuLNAIaAY2ARiAICChCuJnzzrGaEH6nCWEQ9jNQQ2pCGCgkPRxHE0IPgdLd3CPgTAhNlc3YZIjmGnzOhFDCY7e+AHEpMGMVJKS5x0z30AhoBDQCGgGNQAdGoIkQnmApCgs+EEJ4lPYQWoq655NpQug5VgHpqUNGAwKjHqSlh7CjqGw6E8LCdSA1zPpMh4lP6jOhEdAIaAQ0AhoBjYAbBDQh1EekLQQ0IbT4XGhCaDHg0Tyd6SHsSHl0zoRw1xtQWw6TnoKep0fzTmvbNAIaAY2ARkAjEBAEhBAWF23hvHOt9RC+/8G3dEnTHsKAbGIQBtGEMAigtjekJoQWAx7N0y2cqKyrzgebDY69G4b8KpotbqpDaITIvqLyJc/+Nrpt1tZpBDQCGgGNgEYgQAg0EcIJARrRs2EUIRzWZshoTU0NhYWFZGdnY5PnmXaaw+Ew+paXl5OVlUVSUpJnC9C92kVAE0KLD4gmhBYDHs3TzR/WZF1KX5i2PJqtVbaZHkIzXHTgJTD+/ui3W1uoEdAIaAQ0AhqBACCgCGEO551rNSFc1YoQCrl76qmneO+99wzL4uPjmTNnDmPGjGnT0nXr1nHHHXdQW1trfB8TE8P/Z+9MwOyqquy/Xo1JZazMAwljmCeZkUEjMsqMAwjYttKg3dgOTQN/2u4WsUURmRyhVRDtxrZpIEwJKMqMioyCzEMGIEllqlQlNdf7f79bnMrNo4ZXVS83775a5/vyJam6791z1jn33L322nufs88+W6ecckoBkBneX2FCmPD8u6hMwoCX8u3Inwtt1MzSrCqaO38PfFJqeP1dVbS8tAvolPLa9diMgBEwAkZgsyBQTITwqaee0vnnn69LL71Ue+yxh66++mo98MADmjdvXkT2ctvTTz+tV155RR/60Ic0duzYiEzeeeeduuOOO6wUDnE1mRAOEcCBftyEcKCI+XojEEPg/o9Lq57u+kHVeIeLenEYASNgBIyAERgAAhsI4btpJwP47FAuvf0OFMI5G4WMXn755Xr55Zd13XXXRV+9fPlynX766brqqqu0yy679Hu7X/3qV9G5ihBI1EW3wSNgQjh47Ab1SYeMDgo2f8gIdCGw5q9SW0PXvyvHSON3NjJGwAgYASNgBIxAngh0EcJXdMLxSRPCP7yHEJ533nkaP368vvrVr3b3/vDDD9dFF12kuXPn9jqixx9/PFIFURgJGT3uuOPyHL0v6w0BE8KE14YJYcKA+3ZGwAgYASNgBIyAETACEQKBEB5//IGJInL7HX/QuHHbbaQQnnPOOZozZ44ghqEdeeSROvfcc/skebfffrsWLFigN998U6eddprOPPPMRMdSijczIUx4Vk0IEwbctzMCRsAIGAEjYASMgBEoOkI4WIUwTCVKIWriT3/6U82ePdszPAQETAiHAN5gPmpCOBjU/BkjYASMgBEwAkbACBiBoSIQKYT1rypxhfD2x96jEJJDSJGYa6+9NhrWsmXLdMYZZ+SdQ1hXV6dPfvKT+va3v6299tprqNAM68+bECY8/S4qkzDgvp0RMAJGwAgYASNgBIzABoUwIoTvTxSR2yNCuO1GIaNPPvmkLrjggu4qo1deeaUeeuih7iqj119/fVR19IYbboj6esstt0TVRffdd9+oCukVV1yhRx99VDfffLPGjBmT6HhK7WYmhAnPqAlhwoD7dkbACBgBI2AEjIARMAIxQvjaZiCEj76HEHIO4TXXXBMdHUGD5HEERVD7LrvsMt1333265557ot9TVZTw0NA4lJ5zCd///mTJbSkuJRPChGfVIaMJA+7bGQEjYASMgBEwAkbACBQdIQxT0tzcrJUrV2r69Ok9nj8Yn7qOjg4RKkqbMmVKv9d72vNDwIQwP5wKdpUJYcGg9BcZASNgBIyAETACRsAIDACBrhxCFMKDBvCpoV96++0ohNtsFDI69G/1NxQKARPCQiGZ5/eYEOYJlC8zAkbACBgBI2AEjIARKCgCEMI19a8nTgjvuP0RE8KCzmRhv8yEsLB49vttJoT9QuQLjIARMAJGwAgYASNgBDYBAhsI4cGb4Nt7/8ouQri1FcJEUc//ZiaE+WNVkCtdVKYgMPpLjIARMAJGwAgYASNgBAaIgAnhAAEbJpebECY80SaECQPu2xkBI2AEjIARMAJGwAhECHQRwjd0/AlJK4QPa9xYK4TFugxNCBOeGYeMJgy4b2cEjIARMAJGwAgYASOQQwgPSRSRO26HEG7lkNFEUc//ZiaE+WNVkCtNCAsCo7/ECBgBI2AEjIARMAJGYIAIdCmEb+r4E5ImhA+ZEA5wrpK83IQwSbQlmRAmDLhvZwSMgBEwAkbACBgBIxBTCN/UcZuBEI63Qli0q9CEMOGpMSFMGHDfzggYASNgBIyAETACRiCHEB6aKCJ33P6Qxo/d0iGjiaKe/81MCPPHqiBXuqhMQWD0lxgBI2AEjIARMAJGwAgMEIGukNGFOu6EpAnhgyaEA5yrJC83IUwSbUkmhAkD7tsZASNgBIyAETACRsAIxBRCCOEHEkXkjtshhLOtECaKev43MyHMH6uCXOmQ0YLA6C8xAkbACBgBI2AEjIARGCACGxRCE8IBQlfSl5sQJjz/OJm2AAAgAElEQVS9JoQJA+7bGQEjYASMgBEwAkbACGxQCNcuSl4hnPeAFcIiXoMmhAlPjglhwoD7dkbACBgBI2AEjIARMALdhHB1RAg/mCgid0aEcJZDRhNFPf+bmRDmj1VBrjQhLAiM/hIjYASMgBEwAkbACBiBASJAyOjqtYs3AyG834RwgHOV5OUmhEmi7aIyCaPt2xkBI2AEjIARMAJGwAgEBEwIvRZ6QsCEMM910dDQoLa2Nk2YMCHPT/R8mauMDgk+f9gIGAEjYASMgBEwAkZgkAhsIIRzB/kNg/vYnfNQCLdwyOjg4NvknzIh7AfidevW6cILL9SLL74YXTlt2jRdccUVmjx58qAmxyGjg4LNHzICRsAIGAEjYASMgBEYIgJdhHCJjjshaUL4exPCIc7dpvy4CWE/6F533XW6++67de2116qmpkbnnnuuZs2apW984xuDmhcTwkHB5g8ZASNgBIyAETACRsAIDBGBDYTwQ0P8poF9/M55EMKZVggHBltiV5sQ9gP1aaedprlz5+rss8+Orpw/f36kEN57773KZDIDnigTwgFD5g8YASNgBIyAETACRsAIFACBQAiPPSF5QlhrQliAGdw0X2FC2A+uRx55pL785S/rqKOOiq587rnnov/ffPPNGjdu3IBnxYRwwJD5A0bACBgBI2AEjIARMAIFQKCLEL6lY09MmhD+TrVjrBAWYAo3yVeYEPYBazab1RFHHKGLLrooUglpr776qj7/+c/r5z//uWbMmKF58+blPTHjx4/XnnvuKQrLjBo1KvocOYrxVuw/r6ysFKT26aefznvcg7kQ7N0Ki4AxLSyefFupY1peXq6Ojo7CAzeMv3EwkSXDGK68h25c84Yq7wtLHdPDDjtMo0ePzhuPUrlwAyE8LNEh3TkPQjjDIaOJop7/zUwI+8EKhfArX/mK+JuWqxB+73vfyxvtKVOm6PDDD1d7e3uqCeE777yj++67L+9xD+bCUn8RDQaToX7GmA4Vwfd+vtQxraioiPYrt8IhUOpOhMIhNbBvMq4Dwyufq0sd0zPOOEO1tbX5QFFS13QRwrd17IlJE8L7TAiLeCWZEPYzObk5hBSYufLKK51DWFFRxMvaXTMCRsAIGAEjYASMgBHIRWADIfxwouDcOQ9CON0KYaKo538zE8J+sApVRvl75MiRrjI6alRUZRXlwM0IGAEjYASMgBEwAkYgPQiYEKZnrpLsqQlhP2g3Njbq/PPP1yuvvBJdSdgnCiF/D6a5qMxgUPNnjIARMAJGwAgYASNgBIaKAIRw1dp3dOyJySqEd837rRXCoU7eJvy8CWGe4K5Zs0ZtbW2DPpA+3MaEME/AfZkRMAJGwAgYASNgBIxAQRHYQAgPL+j39vdlXYRwmkNG+wNqM/3ehDBh4KkwWl9fn+qiMhy3UVZWljByvp0RMAJGwAgYASNgBIzAUBCICGHDUh17YsKE8LbfmBAOZeI28WdNCDcxwLlfvykJISXiyXOsUKfKysuk8ipl29apnE50ZqWMpBFj1dnSoI6yESprW6/2llZly8tUOWKUMm0NalG12jqk1tbWqOu5x2Bw7IQJYcKLxrczAkbACBgBI2AEjEABEChGQojNuWrVKk2dOlX9Ve/u7OyMrqWWBce5uRUGARPCwuCY97dsqpDR8SOk6vY1UmWV1La2i/yVj5GWvySNnhERQbW3So1LpfrFUnuzsmpXZuZBUvMaZRuWK5NpV2dHizraW7V+xqFavKq1O0S2rq6umyC6qEze0+0LjYARMAJGwAgYASNQNAhsIIRHJNqnuyKFcOpGIaMcbfLDH/5Qt912W9QXRIdvfvOb0ZndPbVHH31UF198sSCFNOzRL3/5y9ptt90SHUsp3syEMOFZLTQhpLjN5LbFyqhdeuk6aeQ0ZcftpEz9WmnSztLoSVLTcmn1S1KmWmpulVYukqgSOnNvac0S6embpcaV0tgp0oQtlN16d2VbG9Sw1UlqHjE1QsiEMOGF4tsZASNgBIyAETACRqDACHQRwmU69sSkCeG97yGETz31VFS48dJLL9Uee+yhq6++Wg888IDmzZvXY2rSY489pmXLlmnu3LlqamrSJZdcokAqCwzTsPs6E8KEp7zQhHCX2ZOUqXta+su3pZlHS88+Jq1tlloalM1mlGlbJx3yaWW32Ut6+wllGldIy5dIjY3SspeVnbGTMpO3Vvb525XpCi5VdsrW0k4Hq7OsXOu3P03r28tMCBNeJ76dETACRsAIGAEjYAQKjcAGQnhkob+6z++76zYI4ZSNFMLLL79cL7/8sjjajbZ8+XKdfvrpuuqqq7TLLrv02z+UxR/84AdasGCBSJtyGzwCJoSDx25QnywkIaytrdXMsmXSfZ+RdjpD+tP9Unulsi2rpbIqqbNJqhyjbEeDtOch6hi3TJ1rXlJZplblNceo7HfXK9tcr8zW+0ljaqWXfkucqcRDteWunLGhjj3OUv2qRYqqrFZOVtX4bXwO4aBm3h8yAkbACBgBI2AEjMDmRSAQwo+cmDwhnJBDCM8777woD/CrX/1qNyiHH364LrrookgF7K9deOGFWrhwoW666ab+LvXv+0HAhDDhJVLIojITxo9VxZIHpdf/S2qbLr32vLLkBnY2SmUVUqZKyjaps/ktZSCIh52qtoZbo/DQTLtUOf3fVLbgR8q2Nylz1AXKPnCllIUTVikzYYY0Zw9ph+OU/ePfKdvRrCgxMVPWJeNP2q8LuUn7SuN3kqYfljCSvp0RMAJGwAgYASNgBIzAQBDoIoTLlTwhvEe5hPCcc87RnDlzBDEM7cgjj9S5556r4447rs9hEVb6/e9/X1/72td00EEHDQQCX9sDAiaECS+LQhLCibXjVP7ENcqO6JCWrFf2jcel1uXqbH1HmfKRUvkoZVuXSplKKVOhzNH/qLbV/yM110mNK1Q2cltVtR2h7J9vVeagv5Ve+Y20tk7Z8gplKiukfY+TdjpBnX88V50dzSpra1Sms1EZiGHZu9J8plziz3aflna/KGE0fTsjYASMgBEwAkbACBiBfBHYQAiPyvcjBbnurtsghJM3ChkdrEL48MMPR8VlPvvZz+rUU08tSP+G+5eYECa8AgoZMrrDDjuosu5RdTa+rMzzryn75u/U2fRmNKJM9TSps0XZ9lVdI8xUKvOBT6k986Sy6xZKa96Jfly95VXSvG8pc+hZ0gt3Sw0romMoMhNnS7vNVXbbD2v9S79Ua+M7quhYo8qOtapWgzItK7qIoMqkskppu78xIUx4Lfl2RsAIGAEjYASMgBEYCAJdhLBOHzkpaUK4QBNGb0wIySF85ZVXdO2110ZDoGDMGWec0WcO4fz583XFFVfo85//vE4++eSBDN3X9oGACWHCy6OQhHD7bWapcv3TyjatUOb1d9Tx6DekbFcp3rIRW6izbUVXHuG7LXPqJWpbfqNUv6yrqqiyqhz/WZU/+YS03yeUffQ/pWx71xkwW71Pev/pytY/I/31anVG51hA/spVXk44ark0bseukFHCRSfvnzCSvp0RMAJGwAgYASNgBIzAQBAoJkL45JNP6oILLuiuMnrllVfqoYce6q4yev3110dVR2+44YZoiKGIDKTxsMM2pCpRUyOcmz0QLHztBgRMCBNeDQUlhHPmSG9/S5W1R0uN69Txy09KWZIASR+cLnU2KsvZhLTpO6pz3z3Uuf4padlrXbmCbc0aMfty6dUnI3KYffMRqaNFmdn7KHvIZ5RtWyo9d6nU2abGETuptWJyRAJrtzpQ5dPenzByvp0RMAJGwAgYASNgBIzAUBDYQAiPHsrXDPizd92GQjjpPecQXnPNNbrzzjuj76NGBUdQ7LXXXtH/L7vsMt1333265557ov8TJkq4aG773Oc+p1NOOWXAffIHTAg32xooFCEcMbpWW0yrUeatb6qsektlKrZQ5s0Hlf39f0fkLlNRG6l42bbl0viZyh56rFrX/Ezl1XOkJc9KlTXKVE5S9dQLpfo10su/l6orpRnvk7bdU22jJmnZ609o5KTt1T56ex87sdlWjG9sBIyAETACRsAIGIHCIAAhXNmwQh85KVlCePdt899DCMOImpubtXLlSk2fPr3H8wcLM3J/S18IWCFMeH0UoqhMNlOplxat1P67TFFZ3XVRNdFM9Uy1LbxcFdUfVmbhG9LKxcpM2EMa0aaOGaPVvuJ7Us12Kiub3BUuWlWjyq0uUVl2lDJNq5Qtq1Fm5ESpZpyaO7JqaB8dHfYZJPh169ZFSFVWVmrcuHF+YBNeN76dETACRsAIGAEjYASGisAGQnjMUL9qQJ/vIoQTN1IIB/QFvniTImBCuEnhfe+XD5UQ8vkldes0YuRIzZpYpqqWJ9T65r+pYtxBam94Sp3r/6qymp1UVjZVyrSpbPyBal85T9nmhcpUbqFMS5syY2apfPRcZdpGqTyzpTRtJ3VylERnh1a3Vqujo6O74yaECS8Q384IGAEjYASMgBEwApsIARPCTQRsyr/WhDDhCRxqyGhTc6tWNrRr0sRajR5RpvHlL6vlhdOjKqIVUz6hjhW3qrNtmdTZ2vWnfJQqJp+kyilnKNvSprKqkWpf/qgyLVUqy45Ry+Rdtbg+o3G10yIk6urqNkJk8uTJG/0cgjhr1ixVVFQkjJxvZwSMgBEwAkbACBgBIzAUBLoI4Up95KSkFcK7rRAOZeI28WdNCDcxwLlfP1RC2NDYpNXrOrXFjCnq7GjRuLb5Klt6pdSxVpnqWaqcepo66h9StmO9sh3rVFY1XWXj56pi/EHKaqwy7auVbW5Te1m1mtrataw+o9bWVuUSv9BvE8KEF4hvZwSMgBEwAkbACBiBTYTABkL4kU10h56/9u7bIIQTHDKaKOr538yEMH+sCnJlIQhhfRP1XzqFWjil5g1NWP01VZQT5snREBmVjd1fmcqJymY7pGybVLWllnYco4aGBk2dOjXK/1uxYoXa2tq6x2RCWJDp9ZcYASNgBIyAETACRqBoEYgIYeMqfeSkhAnhrXeZEBbtqpBMCBOenKESQoq7ZCpGadFbb+uNhYu1354zNfKtczVxTKfKOVCeEwMzFcqqTG3ZKq1rKdOEbf9BSxp2FVWc8iV+VggTXhi+nREwAkbACBgBI2AENjECgRAesxkI4UQrhJt4dgf/9SaEg8duUJ8calEZCGHVyNH6vzt/qxdeeFGfOOkobVf7jDqX/0IV5Vkp26FMWYU6Ojq1siGrydN315ht/kUr6rsOrM8tEhMGke/PXWV0UNPuDxkBI2AEjIARMAJGYLMjsIEQHptoX+6+9S5NHF3rkNFEUc//ZiaE+WNVkCsLQQgrq2v0mwef0FNPPaFPnfFRVXSs1qo3b1XH8hujg+nLyss1buxYTdvqw6qYebYqRs5WA2cNmhAWZA79JUbACBgBI2AEjIARSCMCXYRwtY45KWlCeKcJYREvGBPChCdnqCGjVAEdXztJS1c2aNzoEVpRv0bX//Q67bbjtnr/vttrqy3GqLpsnVQ5U00UGa2aoMqRE7TwjdeikTpkNOEJ9+2MgBEwAkbACBgBI1AkCGwghMcl2qO7b4UQjrdCmCjq+d/MhDB/rApyZSEIYU1NjcaMn6KGhjX68bU/1so1jfr38z6lLaaOk9Y+IbWvV7Z5kTozNWrJjtWILU7US6/XRQfNmxAWZBr9JUbACBgBI2AEjIARSB0CJoSpm7JEOmxCmAjMG25SCEI4bcYM1dSM1cpVq3T9L3+lfz7rcI1of1XZlb+XGl/oqjZaMVqadooyFeOVqapV54jt1dDUqZqRI5TNZNS8vln1DY2qr68fkHLocwgTXjC+nREwAkbACBgBI2AECoRAFyFco2NOSlohvMMKYYHmcFN8jQnhpkC1j+8cKCHMZDLRIfATJkxQZ2en1q9v0qix41RRNVIvvfamdt1qtEatu0+ZhueUbXguunNm1Bxp+ieVWfOYsi3LpbIqqWq6MtOOU3bNn5XpXK9sxSRp1LZq7hipN5as1sSJE6PP+mD6hBeEb2cEjIARMAJGwAgYgYQQgBCuiAjh8Qndses282+FEI5zyGiiqOd/MxPC/LEqyJUDKSozqqZC1VUj1NmxVhUVNcqqSuvbMhpR0amm9ow6Oto1rvWPyjS/pWzd3VLbGmVG76DMhMOVXXKDlO2qLKpMRaQaZspHSLM+o+yyO6ITCzmnMDPzdLWXT1Zr+eQopJQqpvGWW33UVUYLsgz8JUbACBgBI2AEjIARSByBLkJYr2NOTpoQ3q6Jo0wIE5/wPG9oQpgnUIW6LB9CGKmCZc3KdNSrrfkddbStVqZshFQ5Xa2ZSSrPtCiTqVJFplMj1twtrs++82uprEJlW52n7Js/lLLt73Y5I2XKuv6NUlg2QplZf6vsG9+XaraUOtZLW/2DspVT1NRebUJYqIn29xgBI2AEjIARMAJGoMgQMCEssgkpku6YECY8EfmEjNaOq1ZH8xtqXv24OtoaleWY+aqpamqt0Jgpe0uVE5VpeFblNVurZsX/SqO27lIEx+6pslG7KPv2rzeMKoMWyJ8yqaxS6myVtvyctPIBqW1VdG6hph4vjdlTK9dVaunSpRshkluExjmECS8Y384IGAEjYASMgBEwAgVCYAMhPKFA35jf18y/FYVwrENG84Mr8atMCBOGvD9COHv2bI2oXK11S+9Re2vX2YFllZO0ulGaOHUHNWQnauroSq1a/FuNmnyQxnS8LjW9oWz9n5WZcLDUskJa80RsVEEhLFMmU65stl2ZyR+OwkO15nGpfJQ0ZmdlJ31YjR2TtWjRIhPChNeEb2cEjIARMAJGwAgYgSQQ6CKEa3XMyUkTwnkmhElM8CDvYUI4SOAG+7H+COH2289Ra/0f1Lz6iYi8KVOuTOUUrWpo14zZ+2tt+0iNzaxV/bI/qGzkLE2bvLWyb1wtTThQmdYVUtkYqW7Bhu5F4aIZZcqqlUUdVFaZmWcou+5Vad1LUvlIady+6hyzi9ZltjUhHOzE+nNGwAgYASNgBIyAEShyBDYQwhMT7en8WyGEY6wQJop6/jczIcwfq4Jc2S8h3G66WtY8puZ6jo/IKlNWpY6yCVq7Xpo8fXc1l09S1fpX1LTmRbWpRltsNVflTS9FOYRl006QOpqVXfLfXX0lXDRT2VVUprPl3f5nlJn9GWUhjR3kGWalyYerc/SuWtNSq3feeWejcTpktCDT7i8xAkbACBgBI2AEjMBmRyAQwqNPTp4QTjIh3Ozz31sHTAgTnpr+ispMmDBWTSvvV/OaZ98ldRXKVE5V3ZomzZi9n5oy41TR1qJVi+drdM0IjZuyr6qz9aqoHK1s4/PS2D2UWfWosqsfVSZTGVUSVbbt3YqjWWWmHKMsYaJUGq2epmzlWHWOO0Aau7uaO0a7qEzC68G3MwJGwAgYASNgBIxAUgh0EcIGJU8Ib5MJYVKzPPD7mBAOHLMhfaI/QlhbW6u2hqe0ru6BLvWOkNGKCVq+pkOTp2ypzhGzNLJqgt5++RZJ7aodP1njp+ypsnXPq2LMTsq2rlRZ5QRp9aPKrry/SxkkLJSw0cmHK1tWHZFBVU2RRkyPCGRH1XS1VW4TnXPoYyeGNL3+sBEwAkbACBgBI2AEihaBDYTwpET7OP9WCOFoh4wminr+NzMhzB+rglzZX8goIZqTakeofsnN6mhbGd0zOj+wfKLeXtGorbbZV01lW6tx7Sq1LL9HLS2tGjtmnLbY+lBlGp5WRfV4ZdvqVVY9TaqepkzHOmUzGWUqxkgdTcq2rlBG7VLFBHV0rFerJmhJXbvGjvPB9AWZYH+JETACRsAIGAEjYASKFIGIEK5r1NEnJ0wIb7nVhLBI10TENbJRuUm3pBDIhxByrmDt2Kwaly5Qe0vdu6SwWiqfoPaqnVUzbhs1NJVrbWOj2tY+r46W1SqvqNL0GdurpqZWVWWtKqusUbazTZ2qVEVZmZpa2slIVFXVSGXUppbmZq1rataatS1qa2tTbq5gwMM5hEmtDN/HCBgBI2AEjIARMAKbFgETwk2Lb1q/3YQw4ZnLhxDSpZUrV2qbraZIHWvU3rIsqhJaUTlGqpim5xd3KNPZrKUrGzVl8kTxne1tHWrPVqiqvE13P/CMlq1s0NhR1Tr1mH217+5b6vVXXomOmsiX+JkQJrwwfDsjYASMgBEwAkbACGxiBDYQwpM38Z02/vr5kUI4yiGjiaKe/81MCPPHqiBX5ksI6+q6lMFx48Zo9OiRqqooV0dnNsoB7Cyv1qIlK/XTWx7VB/eZo122m65XF9VpfVOzlq1cq2V1DXptcZ0+esT7tPMOMzR7aq1ef/Xl6PtMCAsyjf4SI2AEjIARMAJGwAikDoEuQrhOR5+cNCG8xYSwiFeLCWHCk9NfUZlRo0ZFPeqtuAufHzlmjN5a1qAH//yqRtaM1piaapWrRWsb1qtuZb123m6mJtaO1sq1LZo5bYJmTRmlxvquQ+77+34XlUl4Qfh2RsAIGAEjYASMgBFICAEIYV1ECE9J6I5dt1lwC4SwxgphoqjnfzMTwvyxKsiVQyWEELYx48Zp7fp2PfPaSjU2NuvZ51/Ry28uVXlZmSorMurolCaMHaHPfuxQNbZVao+tx6th7WoTwoLMoL/ECBgBI2AEjIARMALpRMCEMJ3ztql7bUK4qRHO+f6BhoyGj8dDPWfP3lJ167J6eVG9nn/hZT35/Jsb3aWsLKPqygpNnzRap5/0QW0xebQWveEcwoSn2rczAkbACBgBI2AEjEBRIdBFCNdvBoXw/6wQFtVK2LgzJoQJT85QCWHjuvWascUsLVzWoNX16/XT//ld9whGjaxWVWW5VtavE7VjJ4yp1gcP2FlHHryTFr7xhlAnnUOY8IT7dkbACBgBI2AEjIARKBIENhDCjybaowW3QAhH9hgy2traqlWrVmnq1Kmi0n4+rb29XRUVFflc6mvyQMCEMA+QCnnJUAhhprxaK9dlVDuyXS8srldDY5Nuvedx7bjtdO2w9Qx1dGTV3NahSeNH6pU3l+n5V5Zor51m6uNH76/FC1+LhmFCWMjZ9HcZASNgBIyAETACRiA9CHQRwiYdfUrShPBmTarZmBBS/f6HP/yhbrvttgjAyspKffOb39See+7ZJ6CLFi3SZz/7Wd1www2aOXNmesAv4p6aECY8OYMlhDNnzdKiFR1auXShVq14R7O321VvLW/Qm4uXqaq6Rs++tlrZbEaZMkXq4LYzx2qbaSO1fHmdPv6RA1S3dIk6OztNCBOeb9/OCBgBI2AEjIARMALFgsAGQvixRLu04BYI4YiNFMKnnnpK559/vi699FLtscceuvrqq/XAAw9o3rx5Kisr67F/Z555ppYuXRr9zoSwcFNYsoQQ8rN8+XJNmjQpL0l5oNcPdgoGU1QG+bw9M1LPvbxEzz7xgCbO2EZztt1GI0aM0qNPL9Szr63q7k5GGaG2QwrnbDFWu2xZozlbTVHt6KqIELrK6GBnzp8zAkbACBgBI2AEjEC6EQiE8KhTkieEk3MI4eWXX66XX35Z1113XQQqdvvpp5+uq666SrvsskuPQC9btiwihOedd54JYQGXYkkSwvvvvz/yNkCAaMjKp556aq+w9XX9b37zG1122WXv+ewdd9yhESNGDHgqBkMIq6qqtKapXH95/jmVZVv04tsNmjR+tN636y668a4XVL92vfRuyHX0VyajqooydXR06IRDttZ+u22hzrZmE8IBz5Y/YASMgBEwAkbACBiB0kGgixA2K3lC+L/KJYSQuvHjx+urX/1qN8CHH364LrroIs2dO7dX0CGEKIVWCAu3LkuOEDY1NenEE0/UaaedpjPOOEO/+93v9J3vfEc/+9nPNGvWrPcg19/19957r7773e/qxz/+8Uaf3WqrrfJOfI1/cDAhoyTZvlOf1R8fe1BTJtXq+cWrNXHcaG25xdZ66rW1Wr22SfVr10W3QU2sKC9TWUaqGVmpHWaN0Qkf2FFL317kkNHCPTf+JiNgBIyAETACRsAIpA6BDYTw44n2fcEtEMLqjUJGzznnHM2ZMydS+0I78sgjde655+q4444zIUxwhkqOEP7+97+PElLvuusuoazRTj75ZJ100kmRNyG39Xc9hBDp+u677y7ItAyGEE6YMEHtZaP09LPPqSLTqideXabpkyeoumaSnnlltcaP7TrMvr29U23tHRpRXSkSdZcuW6FD99lWxx2ynRa+8aoJYUFm0F9iBIyAETACRsAIGIF0ItBFCFt01ClJE8Jfv4cQWiEsnjVUcoTwV7/6lX7961/rlltu6Ub5C1/4grbccsuNPBDhl/1dDyFEYdxnn31UXV2tvffeW0cffXReeYk9TfNgCCFldcdNmq5nn39dTQ1L9fyStaoZOUI7z5mje/70FrqgysvLooPpq6uqVJbJiAPsR46o0pEHbq2dt5qoFcvfVnNzs4vKFM+z554YASNgBIyAETACRiBRBIqJEJJD+Morr+jaa6+NMCA/kOi+vnIIuc4ho4VfMqkihFQdYrH01HbeeWcdfPDBUWIqqt9NN93UfRkeCIqpXHzxxe/5aH/XP/vss1qwYEEU4/z222/rkUce0Qc+8IHueOf169fnPStUTCKHcPHixQMmZrO23ForVq/Ta6++qCV1q/XWqmbttcsOevzFeq1d3yplparqalWUl2tsTZUa163TiBEjdcZRO2r8qAotWvhG1M9CHDsxffr07vzMvAfvC42AEUgdAoSgE23gZgSMgBEoNQRGjhw5qNSftOOwgRB+ItGhLLgFhbBqo5DRJ598UhdccEF3ldErr7xSDz30UHeV0euvvz6qOkquYGhtbW165513ovog2PBbbLFFdFyF29AQSBUh/MUvfqElS5b0OGKUuyOOOEL9KX65Hx7o9TfffHPkyZg/f36kEkLw8m0YVxS6QSUcTLXPtdm15p4AACAASURBVOtatHjRQr29dJnWtUtvr1qv3XfYXg8+U6fOTHlEBkdUdimF7Z3SRw6crYpsg2ZOm6z2traom4O5L59DcaTx0I0ZMyYqWONmBIyAETACRsAIGIE0IkBaUb6HoKdxfL31GUK4rLFFR56cbMjovbf+WlNGbZxDiMPxmmuu0Z133hl1F+GEopB77bVX9H+KOt5333265557uodDjmEoGhns0kKldZXSPA90LKkihPkMLuQEsjiCx4AiM6ecckqfOYT5Xv/ggw/qkksuUZJVRuNEbnX9Wi2YP1/bbLutaidPj46XGD1mvF54c5VWrVmn+rUN2n7b2dp9m1otXvy6tt5qS5Ur2+3lLwQhHDduXK/nw+QzR77GCBgBI2AEjIARMAJGIHkEIIRv1zfpsBOSPZj+vttv1oyxGx9MH0ZPStPKlStFBFpv5w8mj9TwumPJEUJCOE844YToHJOeqow2NDTo7LPPjsjhMccco/6u/+Uvf6kddthBu+66q+rr63XhhRdGyuBPfvKTQa2UweQQcqMQ6snnM2UV+vF1P9a6xnUaO36iRowcocmTJmjKlOk6YP/9tGrlSq1tWKutZs1SY+PajTwphQgZpVorGLgZASNgBIyAETACRsAIpAcBCOGiVev0wWNPTrTTD9x1i2bVjtooZDTRDvhmfSJQcoSQ0SIvf+tb3+oe+Kc//emIINLWrFmjj33sY4r/rK/rSXiNS9XTpk2Lqpj2dIRFPmttqISwrq4uqp5aPXKUFi5aHMVRZzvbtd2222jmzJlRgRlCR6urq8SRGlwfbyaE+cySrzECRsAIGAEjYASMQOkhACF8o65BBx91YqKDe3jBbdp68hgTwkRRz/9mJUkIGT7xxRSB4Qy/fJJN+7oeKXv58uVR7lxtbW3+6PZwZSEIYfhaCt2MGz+BgFCtXbNad/5pod5a3ar9thmj/XbuOnPRhHBI0+UPGwEjYASMgBEwAkagZBCAEL66tF4HHn58omN67De3a7tp40wIE0U9/5uVLCHMH4JkrywkIaTnccXv+bfX6/VlTdp/27HaZdsZJoTJTq3vZgSMgBEwAkbACBiBokYAQvjiW6u134eOTbSfj//uTu0ws9aEMFHU87+ZCWH+WBXkSqqSkos41OIuoTPx73lr5Xq9saxBB+88dZN8P/dEbXVRmYIsBX+JETACRsAIGAEjYAQSRQBC+PzCldrrA8cket8nH7xbu8yeaEKYKOr538yEMH+sCnLlpiSE8Q5uCsJpQliQJeAvMQJGwAgYASNgBIzAZkEAQvjM63Xa4+CjE73/s48s0O5bTzIhTBT1/G9mQpg/VgW5clOGjMY7ONTiMeG7cr8HoukqowVZCv4SI2AEjIARMAJGwAgkigCE8M8v12mnA5IlhC/8cYH2mWNCmOhkD+BmJoQDAKsQl5oQFgJFf4cRMAJGwAgYASNgBIzAQBGAED721zptt0+yhPDVJxbowJ1MCAc6X0ldb0KYFNLv3seEMGHAfTsjYASMgBEwAkbACBiBCAEI4QPP1mnLPZMlhIueWaBDdzMhLNZlaEKY8MyYECYMuG9nBIyAETACRsAIGAEj0E0If/tknWbsmiwhfPv5Bfrw+0wIi3UZmhAmPDMuKpMw4L6dETACRsAIGAEjYASMQDchvOW+5zRqxl6JIrLu7ad08mG7uKhMoqjnfzMTwvyxKsiVJoQFgdFfYgSMgBEwAkbACBgBIzBABAgZvfHme6WR0wb4ySFe3rRUn/roESaEQ4RxU33chHBTIdvL9zpkNGHAfTsjYASMgBEwAkbACBiBCAEI4Q03/lKdKksUkTJ16tOfOsOEMFHU87+ZCWH+WBXkShPCgsDoLzECRsAIGAEjYASMgBEYIALPPPOM+LM52h577CH+uBUfAiaECc+JCWHCgPt2RsAIGAEjYASMgBEwAkbACPSKgAlhwovDhDBhwH07I2AEjIARMAJGwAgYASNgBEwIi2UNuKhMscyE+2EEjIARMAJGwAgYASNgBIyAFcKE14AJYcKA+3ZGwAgYASNgBIyAETACRsAIWCEsljXgkNFimQn3wwgYASOQPwKtra3q7OyMPsC/462qqqrof57JZDRq1CiVlSVbWTB/hH2lETACRsAIbC4ErBAmjLwJYcKA+3ZGwAgYgQIg0NzcrPr6+uib6urqNvrGyZMnF/3PKysrtd1226m8vLwAaPgrjIARMAJGoJQQMCFMeDaHIyHs6OgQ3mla8LAH2IO3Og0/t2c94YfFtzMCRYTAcCSE7N3t7e2pVERZOii3FRUVAyLBvItWrFix0ZjHjBkTrcSGhoaNVmSx/pxxjxw5Mu+nJ5vNavXq1Vq/fn30mWIdV1/40+dx48blPWZfaASMwMYImBAmvCKGIyEkb5Jx01atWrUR4hMmTCj6n+NR33rrrQdkVPCC5U8aiG5fRN0kOOENwrcrWgSGIyEM5Gj58uUbzUsaFFE6TD8nTZo0oL2bMb/xxhtqamrqHnOaxkunCQ0ePXp03s8S76q33npLa9asiT6TtvGi2E+ZMiX642YEjMDgEDAhHBxug/5UW1ubMCyqq6uj74AsxVux/xxyNGLEiAHlofCCxcucxvHS55B7E1TOfCafF2xPnnXCtmisg3grxp/Tp4GOOZcAh8+DR7wV68/p40BJcHxsxTqu/vAfyDyDUVCOQvgh/4+3Yv8540U5GshcM8YwzrTt20PZx9ir0jhexsz7dDD7GEpZfC8r9vdyePZCP1nXrO98G/sDcxzeS2kbL31HFQ39znfcvs4IGIENCJgQejUYASNgBIyAETACRsAIGAEjYASGKQImhMN04j1sI2AEjIARMAJGwAgYASNgBIyACaHXgBEwAkbACBgBI2AEjIARMAJGYJgiYEI4TCfewzYCRsAIGAEjYASMgBEwAkbACJgQeg0YASNgBIyAETACRsAIGAEjYASGKQImhCU88VTEo3rYQKqNlQIcVHGlEupwah7z8Jjt1tbWqJrecGrDcR8bjmNmTXsfGx5P9nDcx4bHzHqUaUbAhDDNs9dL3yGB119/vf7nf/4nuuKQQw7ReeedV/Ik6dFHH9Wll14aGRXbb7+9/vVf/1XTpk0rwRneMKThOObFixfrq1/9qt5+++3o3Kl//Md/1P7771/S80wZ/G984xt6/PHHo+f41FNP1emnn17SYx6O+9hwHDOL2PuY97GS3sw8OCOQAgRMCFMwSQPt4o9+9CPdcsstkdHMgeoYkhCjr3/96wP9qtRc/8c//jEaL4byRz7yEf3yl7/Uww8/HOEwkLPGUjNgScNxzCtXrtSZZ56pXXfdVV/60pf0xBNP6JprrtFPfvITbbnllmmavrz7ynlon/vc57R69Wr9x3/8hyCHODv+7u/+Tscff3ze35O2C4fjPjYcx+x9zPtYKe9jadt33d/hi4AJYYnN/bPPPqt/+qd/0v/7f/9PH/rQh6LR/elPf4oMyHvuuafERts1nLVr10ZE8IMf/KDOP//86GccsHvMMcfoxz/+sbbddtuSG/dwHDOT+IUvfEGrVq3Sz3/+8+5Q6M985jM68sgj9YlPfKLk5pkB3XDDDfqv//qvaMwzZsyIxghxeOONN3TZZZeV5JiH4z42HMfsfcz7WCnvYyW5OXtQJYuACWGJTe3ZZ5+tUaNG6corr+we2f/+7//q5ptv7g4hLbEhR6Tv9ttvj8ZYU1MTDe+1116LVBXGPn78+FIb8rAc85///OfI0YEiuNNOO0Vzinp27LHHRiHRwQFSSpPd0NCgj370o/rUpz61UYgojo9JkyZ1O0BKacyMZTjuY8NxzMNx7/Y+tiHUvdT3sVLblz2e0kbAhLCE5vfFF1+MFJRrr71W22yzTbfBjHJCHiG5VqXWKL6AEkj4HIZzaITJvvLKK5GqUmptOI6ZOfzyl7+s6upqfetb3+qe0vnz5+uKK64oWeKPMvirX/0qCn2urKyMxk3u5N/8zd/o4osv1vvf//5SW94ajvvYcByz9zHvY6W8j5XcxuwBlTwCJoQlNMX/93//FxmOGJGhoZBdd911+u///m9Nnjy5hEbbNZSgBDLuMWPGRD+DCP793//9RmGzpTTw4Thm5g/if9FFF+nggw+OprOpqUmnnXZaRIpCqHDuPEOe/vCHP+iAAw7oDrdM01q48MILo/xf8iVDY6wLFy6MiGImk3nPcNI+5sHsY+3t7VGEwG677aZddtklTVMc9XUwY+ZzCxYs0NixY6OiSuXl5aka92D3sSeffFJ1dXXRcx/2/DQN3PtY12z1t49xDeHyRIAQDeFmBIzApkXAhHDT4pvot0OKMCwoqIKhuGjRokg5w2j+9Kc/nWhfkroZhvFZZ50VjRvDCJLA/ydMmKDvfe97vXbj7rvvjgqTvPDCC5o9e3Z3CGJS/R7KfQY7ZojR6NGjozDLpUuX6ogjjhhKNxL/LIbUBRdcoA984APRvSmw8sgjj+imm27SuHHjeuwPzwThxG+99ZYOPPDAyEkwcuTIxPs+2BtCgKdOnaovfvGL0Vfce++9+s53vqPvfve72n333UtyzIPZx8i/I/wQZxB5lkQIzJo1a7CwJ/65wYy5vr5eX/va1/TSSy9FZJC1whpPSxvsPkbeLNV216xZozPOOCMKp+7JMVKsOHgfy28fu++++7qjQaio/MlPfnLYHblTrGvY/SpNBEwIS2heeUFSYINqi3vuuWeUM8jxC4TUlWqlTaaPIjqoIngSMZgxlH76059q4sSJvc7uD37wA912223R76lOGkhGWpbDYMb829/+NloLFNyhCAt5d2lqED88xjg4CLGjwijHjOyzzz79DgNC+A//8A/aeeed9c1vfrPf64vlAojOP//zP0fkneMmWLMYwYRa9dfSOuah7GPr1q3Tv/zLv+jNN9/Ur3/969QYkEMZM6GX4ZiheLpAf+ujGH4/mH0s9JujKv793/89eq5PPPHEYhhOXn3wPtb/PsbRURSKIy98v/32ixxgvLeIlKB4nJsRMAKFR8CEsPCYbtZvxLBALfvLX/4SGcp41UqZDAI2BtG8efMitQh1AFUUtbC/hiHBZ1EW0tYGO2YIFQYJ4XVpDLfCCCRMjgYpGkgFWcKnOZ4ibdV2Ca2DCL7zzjs67rjjBuS8SOuYh7KPvf766zrnnHOE0weHWFraUMbMGHHy8Eyw56elDXYfC+Mj7BCiEIqoUYQpDftaIfextIx5IPsY+3Qohsd8hpBwHGRpcuil5Tl0P40ACJgQeh2ULALkTu6www49GtDBu5x7LAUvHohlRUWF9tprr1SFFzKRv/vd76LwSIzC3JwizvDj51QzPOWUU7rnPe1jRh2meNDnP//5XivKcnbfueeeG4XLQopphJxibECyOK8zTW2wY6bE++WXXx6p6qHwVFrGDXlgzggf68sRwPgg/SGvuLW1NSpIhLIc8k/TMmb62dc+FsbBc49afskll0T5smlvfe1jYWyowOSKc+4szr2nn346CiknhJRCauzhaWr5jDl3HyNFAnUU1ayv/a9YcehtHyO6idQXKoSzprfaaqtiHYL7ZQRKBgETwpKZSg8kjgBFByA/H/7whyMjId4gQBiHKKjx3y1fvjw6qoJwlSlTpkSKDCFJaarkiCGEIkxhoVxl+Otf/3qUMxn/XSmM+dvf/rYIh/3FL34RFWCJtyVLlujhhx+OVHPCCa+66qpINeL8szvuuEPPPPOMnnrqKZ188smRQZWWNpgxMzYM6MWLF0dr/PDDD4+UtN7yL4sNi5BTRKGdww47bKPuoa5x3iokECWCisoQfRrhlBTgoW233XZRqHRaHAB97WPMISSIMPmHHnoocnwR/k7DqcXzQK4wudLkrZXCPoZDh5zJ+++/P1LNKTZCmCy50bQHH3wwesZxhuEEKIUxM67e9jF+x3onrxhnz9/+7d9G1bbTQob72sdw5JAvivOWtRxPAeH/OIiy2Wy0l4cc62Lbs9wfI5AmBEwI0zRb7uuAEHj55Zejghy5Bm/I4SDHKP47ijJQlIJQMwghKgM5dxgeaSlEwqHtGMe56k8oa5+bc1cKYyZk7K9//av22GOPSAH82c9+FhFf/vA7cmoxliEIPZ1JSYEKcKAQCdUa09AGM2aMZbztKE44RVDSUFkwnI866qg0DFuc4RZyRgkdhuxDEFjzkAPmD8UkKAqBUKEgHXroofrhD3+oBx54ICJIjDsNLb6PkQpw5513Rjm0qCvkle69997ReMi1ooX8aEJIWffk2t56662CSM+dOzcNQ1Z8H8NpRZVsxgzpoZELjLOP3NpwHEsYGM8GDgAUJpw///qv/xrt58Xe4mMezD4GSYYMgweOAfbDYm/xfYy+cozQ0Ucf3d3tcM4sjqsTTjih++cUzOP4Id7XRLx87GMfK/ahun9GoOgRMCEs+ilyBwuBAB5WvIokqqMCUnwHNS3eMKp4uYQCBbys+BkFaqhEmraG0U+IHUopnlgqr+JxHciYMTr5nrSMH4LA+XyQAyqKcoB9rsHY0zxiPOce/p6W+c5nzKxl1ju5tYRJQyRohKnh7EhTdUr6DQHECEQFJ48MIhhUovi8/du//Zv++Mc/6sYbb4ycQzQIFsown8cZAKFKS571mWeeGal+hM0SKpl7lNDvf//7KMcKVRAldObMmdGYyauk6mo+z0KxrXtIzl133aV999032p9x8PRXVZS8OpwfzHOu46/YxtdTf/J5pnM/h2LGO44IEPZ7Uh7S1JgzIjV4X6F00ljrrHkidXLDvXHg4SDBWRDSI9jnmPN8Co2lCRv31QgkgYAJYRIo+x6bHQFeNoQWofph/FGEJhjFoXN4ITGaQtgVagSkgnwGyBSVzghLo/IZxnVPatNmH2isA3hXScxHMePfGFa5Z7T1N2bGToI/xJhiPT0Z3cU0Zvry2GOPRcourb+wMUKOuBa1KeSToioRZojxTG7O+973vmIb4nv609+YMRYJK8S5QegsjgHCJ0ODMBAyi6KCQZYGgoi6yTMJwcOAhODl5s0+99xzkVJEWDB5k/GjVsI5ltXV1RF5gnAUeyM8DoWXfYyQX5xboYAWzzgqCnnTtbW1UfjkIYccEqnfccL76quv6je/+U1EFlnf+RTg2py4sHYpgsU+1l/IL88zRwqhklJgjIqzhAeDTcAA0pAGYtzfMx2fE4gRjgDWNFWJDzroIOEcuPrqq7uLy6UhZxjnDU4c5hlCS1g/UTy8g+JzxjOP6o/DMyjj4MHzzp6PQ+QrX/lKqo6e2ZzPmO9tBEDAhNDrYFghQMgR+RZ4HnnJQPRCIxeDstaQQo6w4Pw61JNQwY6wRIxQyCR5WJxzOJAql5sLaI7hgOyEwhNxz3F/Y6bPjBsCQegWHvrjjz++6BUVVE3IMAVkIDkYDsHwpTADY8L4IC8NZwHzjuKCQXnSSSdFRgjkgXBh/p+Gyo19jTmsPQxjDEfGThhhyDVCcSMMi9wz8vDSlFNJnyGGkEHmuafKopAEnuPcYxnIw4Mw4vjgXEeMyKCqba7nNZ/7hn2M55c+o3CHQlmse5xVPK+cP/vZz362u4gURJBnmbHiGGAfhDylYcxhHyNfuKeQX5warG32ZnJl2aeCkshncIbMmTMncg6QU1xVVZUP1Jv1mv6eaZ7b73//+1EYNO8s9ueQ3gAOYAIx5BlhncTDMTfrwPq4OcXP2IMguUR4cMxObuVYxsnPeO5zGw493s0QatIEWP+jRo0q1uG6X0agaBAwISyaqXBHkkQAoyAoPxgaKF8YlBhJGA/koKxYsaLX0vWoiPw+TUdWYDwSYgYxGuiYIUqoEtdcc02U3I+3Pg1edgwmDGSMAgg+4VT8DGNit912i7zL5JYFg2PZsmWRARKOLFi9enUUZky+ShqUQp6h+JjpP2FkEN7QMBQJmUZp6qm4CrlIECuwSkPuFeNC9WGeKTZDn+k/oaRxox/jkGMZKLqR2yBPrG2IMmohBCsNDRWQMVJZFCMa4oujK7SgDhJehzMLlZ9wU4gijbxCnGJglZbGPkYxnVApGVXsP//zPyM1CWUbhQiFNLexf5E3S0oA6lKaWvyZRulkP2Y/IyeWQlq8jyC7vTUcW+xprI807Ns9jSOovKG4FFEcW2yxRa9jRi3E+QtBZOxpKSSVpnXpvpYWAiaEpTWfHs0gEKDQChVFySHjpUpiO95kQuhQSkJDQcHQwANLoYKQlziIW272j+Q75tBRDBAMLl6sGN1pMiDDGDAUMRJCrmBu3hhjhCwRhhdK2aMgEYaH4hAvarDZJzDPDqCEUoHv4x//uM4666xIMcGJgTpIcZKejMMQKp22Q84DJI2NjRGpxwCEGNbU1ETFaAj/RiUknCy3oZRhPLI+cHakQTHLHQMqEOMlZw4HF/sVBBDyR1Vl5h+nF/MflDNCChk7+wENcpWWAlr0F8ceIYasY+a3r7BfHCAQI9TBNI0xd54hOISF8s5ifnlH9ZQDi9OP6AdIUwj9D0ex5Ll9FM1l7MNEabCP4ayloBDHCPXVyCVEMSYKgmOJ0lJ5tWhAd0eGHQImhMNuyj3gXARQ+ggtJKQSpYFwK8JrcvOo8LITmkPuISWxMUTI1Uhjy3fMjI2cI16sGI6U8w8VKQlRwyDDwAaHNLxwQ14NBiFGVQifxeDg/6goFC9AJUZJIGeU30GOWBdpy7/KNZpRQikUBDkm7C63YURhWKM6QIzS2lB6GQdnckIMUZXixzKEcfG8o4TyBwUYRwcFidKYR4pDg2N0yK9iDbOfEfqMc4tqjCifP/rRj7pzR1FcUEsJrYQ08nn+RjFMS/4V8xdyJfsKAQ3KfwgNz13XKOmQ5WLPpwz9hvyTK8pa7a3h2CQ/mnBJIl/Ie8cpEPb0NOWR0mfWNQov4dLkhpL/2lNDTSVfHowgy0SHsDY41B5CTIE0nJoUJ3IzAkZgAwImhF4NRuBdBDCQWlpaNvIe42EN4YQYTOQsQBByCzXwFXz+ySefjI474EWUhryFnsYcFgS5dhAhwowwpiGDwWAKh39zzhcqFKGovITTkJcDmYcAUJ0uGEkUrWCs5JNRjTLknBFSxxghkGnOv2LMVC5EVWA8kCTWMyo36xVjCYLPeqdiJ+Qht2gS6hGFaVj/5CsVe2VOxkdo4fPPPx/lFcaLT7DGeVZRxiAVoRAHP09zHil955gJqqdOnz49UrpRz8gbZK4Jiw0NhRiFEMWFMHAqefIMU6ERRbWU8q/Yr3EO4PiLVyglTw1HH0c+0FgnkOI0FBjq6cVN0aE4qcUpwL7GuIMqmuZ9jDETMkqOIE4t3kuh8S5DAWa8kD0cQiFMFBJJ3iF7G4op4bakAZBL62YEjEAXAiaEXglGoBcEUAMhDXjVg/GLEYkXnpdqaBjUVKnkZxiXNHJawlloaQSYly7GIeF2GFPxM62C4UiI3Z577hmFmRGSBmGkAmtaGiopfaeIEHlXzB+hVaFB6hkX1StLJf8qjI1iFYwNbzpGE+e6MceQgXgBB64jrw61AZKB0YWjg3y9tOYiUbSC0FHGBekh7C4eQlgKeaS5z+AXvvCFaG7JoaQRTsj8U6kUwxrnD2ohqjiGczz/ij2w2Csq97TnENFAPiljocJsbrgw6j9KExEOHFWDowOigNODEMO0NVRt1jKKcDjEPRydBPHnGS+VfYy5Yv8JVYVRDwmXZs7JD+W5jhN/5pV0B/JIacw9aR8ohmlw3KZtLbq/6UTAhDCd8+ZeJ4BAqKpJPhEvD14cKAmE31Cogz/kYvFSoiIlYSgoKygw/E3jhcyLmhLoaWl4WFHMyNngDKh4KCgeaAgSBR0wHEPjOozJUOgBNQKFIvcYgGLFgFBQckaZZ4rM0H9CjSC5qCz55F8V69h66hdKIGeVQYqYM4hCnBRBEDAiMY7xqBMmTCl4DGsKWATPPM8IikTuES7FigXPImNF0Wau40dv0Od88kghU1yXJpKEw4NwaYxinknmkXFAfJg79jLOaqSAEgoZ1wS1ESKZxn0MhYg8Spwa5IajBIZGiCjFdRgXucGET4djGVj7OMLS1hgn5B4l9Gtf+1pEAMkXpSo2eZM8p/nsY2nbu9nD2JNI8SDUOfe5ZI5RvEnx4GxKCjCF4yn6K0yTtjXg/hqBoSBgQjgU9PzZkkcABYX8OXLlaBhPKGcQI/KN4hX7MKoIOYRMBZUF7zovHf5PMZNw6H0xA4chiMEUP5Ij9BfvcyjMEMJDyUnDyCZfhcqdL774olAkUFXx1GKEpIEwoAhDkiALeJrJo8OAJv+sv/wrDA4UU8gzZIlz8dKgoAUliJA5POtU18SzjsJNcRLWfgifgxwTehoq66KuQiYxuLiG34NZsTfWNrl1uSGv+eaRhuJEKKs4EdJQfZY5ghARFkxDOSP8PcwXzzxl+lHRcHwRFRF3EKR1HyNyg0qcHA9E+HcYL+ubSAcOPCfXDNLE+o/vzzhNWO/sg+Rg9nScSbGtdc5s5PlEEUPNp0H+ceiQH9zfPpbWvRvVP6ii8TmB3FJ8hjXNGmCfZo4pkMaZvISN0nBsET7MmaSElqch9aHY1p77k34ETAjTP4ceQQII8MJBXeClgqHPyxaDAsOJ5H4IAOohqllQyUK3MCwgGxgmJMKnsUJnGAs5d5A8qjiGhjcag4m8vNAwQMllAh+wSssxFfSVnEjIDuGw+eRf4XlHYWBumXvydWiQqWLPs6Of8cO8CQ+mIAkqCY4MDEvOLkNtgPBibMbP3gQv1FXUJUJKcRj0VQo+gUd10LfIJ480fDlhpWADaYZoEB2QhoYqyD6GGsbahATHnTXMO882oaSQ3XhL6z7Gs8wzieoZohoIB+dZxaFHC0cZQBQCHn/4wx8iwgg5gGjhCEsLUWDMhIfyLAbnZD55pGCR1r27p+ePZxPFNLx/vv71r0f7FHszhBDnF05c9i+cJOBGBFBuBEwanm330QgMRXsKDwAAIABJREFUFQETwqEi6M8PawR4efCywTjEwIqrg7nA4IEnbCWtpb8ZD4YiBWVCTiHKKQQXwwkikdvAB49sCMVM42LpL/8KZwGhdiFHCeMR0kz4EuXR09IwhjCG47k3qL/hOAZIRDyfNndcqMSQaBS0NLb+8kh7GhOHgvNcx50haRo76hHGL2HuoWFE04J6Uor7GA4cyAHhsDQcWhwtA3GMHzkSQgtRv3mm09z628dKce/mCCH2reCERQnECRAcWzy3zDlh0sE5QCEqCi4RhupmBIYTAiaEw2m2PdZNgkAIsyGEjPwFPLGhvf7661EoCtXNeAlhPPZ2/tsm6VyBv5QXLLmBKEmc2Uc4DmODEIaG6kDRERQzvOyc/0V4WloruvWVf4WiQtl7xrjTTjtFZBkShYGBYkxuadrbTTfdFBlNhM6hrJBDGhq5SSjkzDkFOiDGqOWE2RJ+CzkElzS0/vJIwxiYb9SmkFuMAoP6TyMclbDheGGeYh47a5tCSswTYYWoJxjCuceS9LWPEYqIoY2zKC2N8RFGCCnEEYLzhrBp9q14A4uFCxdGuZZxtZ/iYiitEOk0zXVfeaSMu9T2buaTSAfWOXn8VF2lsjDpHezd55xzTjTdPMscv4LzMg1RHWl5ztzPdCFgQpiu+XJvixABcuQggpCB3BAsqpkRUkkjfIdCJRAoGi8nDDDCkFCSqHYXV2eKcKiR4QfRgfTQGAtGUzzsjPw7DC4MLHJ2IEXB+xofE0paGorO9JZ/heFACBpjhCRRCh3SRIgShQtQRSEHGJSUPaewBaHDXJuG/ELmihxawoQheRwKzZyFvvNvCnegEhNuBeFHSSH3jPBCjDCO70A5xnHQU45Psa3x3vJIOeg9NELMIAgQAdSHL37xi1GlWgxPcu1YF1QYJmePfNRib1ReROlk76JB7HLD2nvbxwgZ5tmmYi+l/vlcGnLtwj4GqWMPYi2TGx7vO448iGJPziycfuzdPB+E2JIfXux7d395pMx9X3t3Gvcx1if5okTl8IwyBiphs29BDF966aUozJ31TSQEkS9x5ybrg/xSchGJfpg7d26Uf+xmBEoRARPCUpxVjylRBDB6eVmESqKEGUHuQqPSHcoa+UYYlnikObqC4yoo4oEhRrEHFEaKmKShQXpoIbyKs97IMwtGEWOiSikv1/iRFeSrYWhxjAHGNwfDx6v/FfPYc/OvIACc4RYUX+YTQoRaGM6/YjyURKesPUYoxAnvdFq80KxVjCmUPwxnVGGIULySHw4BiNFnPvOZ90wfBhiOEjDAcOZ7ip0M5+aRMigIfZwskE927733diuDEGDUUwqToDTwrFOBmLWQBgMy5IIyr6xRWn/7GNegEDNGoh/4N+SSokrgUFtbW8yPc9Q31ickiD0q7tRin0LlZ38j36y3xr7NHpdbkKaYB567j+W7d6d5H+N9xFmr7F0hYoEQYMKEyZGmBQdAqMh6//33R6SR5wElmJx41gs/C6HGxTzP7psRGCgCJoQDRczXG4E+EMC44AiGcEYfl/IC5owvPNAkspNHSOgoRCiohVwDQcKYpGFgpiUUif4SanPSSSd1n3PGz1AOCEMDD0IIw1mNKEioSSikVL2DFKexoRRBljAgAhHmbDfGHM57C+MKxkZ8XaRxzBBbVJFQUZUxkDtJSCEKaW+Nzz388MOpPJ8Thw+kJ36+G2GjlLAP55E2NjZG6z+UtQ/PBCQ5PNNpmu989jH2qHB2YShAA3Gm2jDKORWH09ZYoxB/1D/2a3LMAkHubSyooqhvPAdpbP3t3fExlco+xpgghOTLHnTQQdEQqUCKckiIPFXECSfFsQsBDM4C9gLe2WmIdkjjWnSfNy8CJoSbF3/fvQQRoMgMLxUUMowi/o+yAnkI5yGhqFAFbu+9945CMOPedJLaURAJQyJcL34OYLHCFSry4Unl3D68q6gF5FZhPEOa+Dne2JDkT5gZRnYgU6ijKGcUfCD8rNgb+WIoXvSXA6Eh+RTiiJ/TxxhQGwi5JLS0t0IdxT7W0D+IAl51QmNRUJhD5g0CEM8tDNejjjNmHAJf+tKXur3xaRkv/cTY5xllDCj9KH6onhAHQgcJmWV9QyJQ2HjeCUFDWQpqAteQz4TxSUhmGqpV9rWPofIyt4SaMjb2OpwgceWbc/F49hkr+1z8GItinX/CnEMeYT6VJtnDeR7Y21AJcZbg6ENxPPbYY1Ohkva1dxPmHlpf+xiHwuPAhGTFoyOKdZ7pF88w+a+kdBAyTIElQr1xbLGWcXgQFcHzj8MjrY7LYp4D9624EDAhLK75cG9KBAEOy8WgQjkhd4EiLByCTW4d3kYMRVRB8szCAdHxoWNI4aHmhcRn4lUAixUiDERCxwitoWADBhLl+PGcow5CbgkbJEQJr/o111zTHb5DaCKKGwV6CO2BZEEgij0vh1xK5gnDgrC7nvqNVxkMCBXt7Zw+PgsuhDMVuwOAyrHk5RAyiSGFwgBRis8VIVqE1OIEwaOOsRWcHuDA5zAw8cSTg1fsjb5SQZg/5MZCcCiiQ24RYcKEi+IcQGGAOBJqCKEIlSlxFlCIhOMNaKyHNDg9etvH4vNFaCnPM0oo6yA0nl/CqFnThBtCGtJwZiNzyvyE80dzqyfzrJJ7htOL0OFJkybp2muvjdIB+Ax7N2cb4gRk3yeEtthbb3t3vN+97WM8wxzXwR6Ic4BnIffIkmIcPw4LHJa8myB9qIGE/+L0oiJrCP0ncgeST5RDeA+zBnD6sgdCHHH0sA/Gj+QpxjG7T0agLwRMCL0+jECCCEAYwllv3BYPM+pST6FJvKTIUYMooUZAHvsLX0pwKAO6FRUcCTPk/DZUBEJGQ7Gd3C8i7AzDMuRjDehGm+lijAv+xPOQ6ApEl2IsqAWhol2uMR1CaTEyIMy54aabaUiDvi15VShnzDMEKRxsH74wqIaU+u9NWRz0zRP+IA4QziPFIKaFI0gIm+wpZJI1AgFmXeAwSmPj+WRviudUQpQptBNwoBgHqmEIkQ6kEQMcFSYNDZWXSpRUSyb/l4JBOKwYP42caYqBUTSrp7xYnCbgguLIWaVpbv3tY2FsqOS83+LpEMU+bpw9rOeg2uPEIv8Xx1Vo7GM4OYn+4FreTawD9i+qbuMcgDjyvnY4abHPuPvXGwImhF4bRiBBBPCeQgBDIjseZkLu+JsXTm7D+0heEt5XClWkoUBFX3CiEvDyRDVFJZ06dWr35bxoMaxCaBLKAqGzaWwoBjvuuGN0yD2edYzCQBYpyMO5lYTUVldXRzmHFCvAAOW6ntZBGjCA7EMAWKuoY+TP9RYaicFIPhJGdhoqzfaGPxUICTPEEAzzhhKO46c3Yh+O8WD+09jYr1A6IXdB8WY+UQPDeYwQXxRDDGaUExpqKVWWw//TNHaiACD+ODcYE+puf9ELqKIQB0IQ2QvS2Prax3obD6GVpDv0VFk6DRjgoEMdDLnhoUAa0S7MJ6GmPLvscYwx5PrjLAjznLYaAGmYF/dx0yNgQrjpMfYdjEA3AhA/XjbklGE0oRJgPOYe5g0pgkhgfFG9lPA0cjNQV0JoYVo87WHwvCQxljEIa2pqoiIcwYgmhJAXLESxpaUl8r6iMhFi1traGuFDwZbc8K1iXVrk5VCuPpSlD+QA0gsGHEFCqCFhxOGwZMKU0liAJMwBaxOyw/j6WpvBUMY5sN9++200hTgJZs+enZrcWeYTBw/EnpxKwgV/+9vfRiGH8UrDYZCEkHMEBwp5WvNJeR5RSiD+kDzySAmRZI9CTUMpRBnjGWf9c9bfQw89FBXggWCwNjCycQiwt8UPgi/W55n9iTGxX/PMUgyrr1w5igwRMouTBLWp2MPAe8O9t32sp+t5Z6GMQ6jCwe/MM7m0ECXec/HqxMU614EAMs/0mTNY33nnnSgEnnc2Tg1+zs94BgiPjTs50lgDoFjnwv1KFgETwmTx9t2MQGQ84W0mV4GQI3KP4sUYMBp5iZKDQsECSALe6FDkAe80uWscCB6vgFbs0HIoMt5yDsLuKcQKokCuGSoqRRpCeGw43oHx5WOMFQsOGA8ofhgUVFolHBQCceONN0ZqL8YzxgQe554Ovw7jIGyN0GJC1EqhobDgVYcwxxu5o8w/TgLWR1pyZ5lTHD2QQULrmGfmloaRzHNMbhWkCAOSokrf/va332McpymPlLGxj3F8DOucZxZyzzPO3hVCBiHGOLYgjjzT5Fixv0GoMLwhWqxrPpOGojPke0N2IP25jjzChVnDhEyzFhgP+3M45gC8CENk38dZwOfTkBve0z4W35uIgiDXFNUYpx9EmLmmsW/xriOUlMiItFSVZp5xblEEjvcQTh8cALy/IMlBCWfcOEdwdPBch5bGGgCl8G7xGIaGgAnh0PDzp41AwRDAmCTvhDycAw88MDKIQyEOCMNZZ50VhaFhcHIt/6diIcpEWhrqQggjJMyOly0HBYdG1VFyy4J6EnKRCNU59NBDozA1cjV6UlWLFQNUEiqSxhUFVEGK6mAoQQQgCJzJGBokg0IkGNwYJbTeVKdiHXe8X4wRpwdGI3MLyUclDY3fs7ZxdlDYIZ47i5KYthwsFCKM35BvhiqG2n3IIYdER8/EG/l1pZJH+qMf/Sg6TiZU6uR5Rz1hL2OvgjCQWwhJggSyzskXRvnH6E5Lo3gMShBRDZA+SCAElxBaKowecMAB0Z+gDIa0AMIpKTJD4S2UQ4494LDzNLT4PoYDBFLEz3DukC+LQ4A9urfjklCIifogxDoNBZV6mhPyI4liiRfN4V1EfvgJJ5yw0UdKqQZAGtan+zh0BEwIh46hv8EIDBkBFATOJ0QZ6akQB/kMkCW87aFhZBC2Eg52xyCBbKXl0HMMCtQyCACecl6g5J3haaWiGw1M8MJyXcg3RElEaenpmIMhT0SCX4B6hHFM1UqOcUA9wNtOfiFqEiSCXFOMawoVQCBphAwTVpmWcypDCBbFdSB6qOKETcYbY8b7Hj+yA8WFsaMopmVNhzFRUZTnmHmF7DNf8VaqeaSoYISIEhaP0c8zjXqIE4tQYgpJQaRQX4IiCImEYKGUp61BiNizqLwb9rHcMQTVFFUQJ0EIkQ0VqHuKlih2HCD4ODJCrmBfz2fIDQcjnAOQYPLx0tiuvvpqUSCNvZionTC3vIvjRZbC2HqqAUDEB+HUbkag2BAwISy2GXF/hiUCvDQJM0FB6KkQB4SR0u5xZQVDmRBKfk7jZYWnGqMjt7JjsYIK0SUEC886L8+gkgYDGqODKquMn3BCKvqFhvpAuC3EiLBajI00FSghlIpiFRBBSCFGAioJ44A8TZ48OVJDIfxxrzrzDSHGK821aSBLkHgMfhSzkGsWX5OE0RFGizpORVbyK+NFO8AHvGgoKnF1sVjXNn0OijbrE+JAOGy+eaSo4zzvEAZCUNNwZANzgZKNSogahsqNOs76xQFCNAPVklGSQiPSAVWNHNo0NuaT4kj8QSmDLAXSh/KNckR4P9EeYY9HaQrPbVr3McgQ7xyIPed0xiMcwjwS2cJ7ivcRezkhwuznPAc8z+SREjIMQUxDwTSeadRBxsycss45ciK3YnZvNQBwcuEEpJAYez1HlbgZgWJBwISwWGbC/TAC/SBAuA0hd3jcIQt41oNnkoIeJLvz4iUMkaIVX/nKV1JRsAEvO5VHMawIK+up8EA4Ayueq4HyRI4KRgVqIwoieKSlgANkOOScMfUYC3ieyVEhfBKyh7KCkyC36BDnX6GoYVBAlPfZZ59UPD+sX/rNeHo6nw2liLxZyC7rnIaSwlENrAtUJ9Y3yjGGWBoa1Qchw+T9sk6Zs/7ySDEoKbqEkYwThBA9/o8xmYbGnKFyo4aQPwiB59lkbcfL+aMWQiZCEZIwNogUKiuVS1kHaai8y/PL2kYlDQWTcNChHKJ0s34JFYcUs1cTbkpL8z4GmWVNQ4ZRgCH3uY29inxhHJU8s5ApnmfmFgyIiuD9haqchmOV2LOZV/q/5557vqfQWW81AMAF4kiEB+uZtQBZxlmUBqdeGvYd93FoCJgQDg0/f9oIbHIEQkghN+LlSS7GnXfeGSkGkEQaifwYX7xUQ34aoZZpOg8qAIkxjEGFEhZXSzEsIUof/ehH34M51fwIX4Jo4H1Nc8Ng4PgGwoFpVDfsKTwUQxJigbEJkQ5KcbGPnX6jeqHmsl6Zr3hIJWGjFLIg15BrmXPO+sKo5DOMF0woTpSmhsodV/n6yiNlPeMMCA4fVDbUcDBJi1KYOzfsUeRPhlxB1CKeWZxbKOU0jOyQT4mDiEZedZoqKuMAwHEB8eFMO5xZKKShBXUwhPrHcUrrPkalWYgS+XUQYBw6VJANjTxRQsXZu4lugByGMyq5BqcWToNcx1eanu++agCEdzdEmBBynmGOrghVxHF0uhmBzY2ACeHmngHf3wj0gQBGIxUqCTcjbIzqZ5BASCJkALUBAoGxxUsGYyMobIToUNUvDdX74hBQkANjmCIsEENCKSmsQk5Wb4VVeBmHc8/ILUR1hDBgcKZt/GCBgcUxG3iOmXfGntsYM4Ym+Xec14jBxXqhAEs487DYHy5ILDk5EAJIISoL6x21ASKICo46xlyGdR0UmHg+bbGPs7f+9ZRHCumlMilGNNUaKagEMSb0EPWUvyHMEI+ejrYoVizYt1jXGMSEA0PwUY9QDDGOKbLC2FFECSGENJBbzN80CPWSJUuikOL+zgAsFgzCWiUcmr0aJQxCjErI893TMx3fx4plHAPpB+8icmQ5ggKCSDg4zzJ5wzj1IMm8u3iuQyMygusoNJTG1l8NAMZESDSh84RMh+OT2MOJikjTc5zG+XGf80PAhDA/nHyVEdhsCKAIEl7IiwOCQAghL914/gG/w6jmb8KWIIKhEdKDqoLHFmOKqmjF3vCUQ4IwLCCGjIsQQ9Sj3IYhARHmWkKXKMBC7grXQjAwRCjOkhYjkvERWkS1VTzHkLx4SXN+T4gtBjXkj5w88nAwLgjBQlkhdJg8vHBweLHON0SHcEpyJVmz5BhOmjQpUoVohEkShhYvIETREtYH3nVC1gg3JLyQ/C3IZBrCzsJ85OaRMs+EUBIKjdHI8QaEDv/pT3+KSCHrAWJMURaOoSFUmL0gFFwq1nmmX8wZzyKqPwoxCvgll1wS/RvHAId8h4rJkERyzeLq+MMPPxwRBp5vMCIsvtgbhB9nDUSA+STnjDBgCoTlFhbpaR/DEYaSRhg8+x/n1xZ7ERqeSfrMHsXezV7MPsTaxVHFM06oZMglBiP2LSIF+DmN/f6ll16KVEOe62Lfu/urAcCYwAXnHXsbDo94REfa97Fifw7dv/wQMCHMDydfZQQ2OwIY/ByAHfINCLmixQupQIwgECFEKShrGGIUOoBEYGCiwBR7w1AgxwgFlApu4RBzSB7GAmd+kZMEEcQTzdgpshMaeUiE1kIYCEvDiEyDJ5ZxYyjjTc8NDyQPjbBBQuswngkjjM8/Y0ZxwwNPrh2GZxoKsKCcYPBj7HMMCUYvxjNqEnMYjGCUM9RyyD7qEWoL1QtRglnrEEPIRBoOwGad5uaRQoAwnCFDkLyQO0tlRsaL2o36zfPL+gA31AkIMxgUuzIMqSWUHTKI8g1RYM1CjFGDKdQB6eFZhRyEPLvwTBMWT6Ed1KX9998/cnoUuwOA55ljJngeCX1G9WU997ePQTJw3oETOHCeKQ1SnIacM4ggCimVdiFAcSKLkxNHEKG1zB9rAmceJBklmRw9fsfzjgMBlbinnONif4fRP9Z8/LmE7KL+M4847pjntO9jaZgH97F/BEwI+8fIVxiBokQAlYAQrHh1vtzjKUJCPwYXXubgnaX8P8Z32hp5N6hJGBGcZUZ1Ql6qfSlhEAZCTzHIqPo4Z86ctA27+0B75g1Si+rQn/pHmBZFD9KalwOxw6CE0IdGyCTVaCG8VDhkffNvVEUaKhPkCKdHGhuOHIzleH4kRVUILwwqKefeQXx5/nmm+TeKDA6TtM41c8VziuqJigLh6S13lmvDIeeE0M+bN6/oVbPctZjPPgZhxOETwuRxAOIEoFgY4eFpbCjdwbEHUSJfFKWf9Y0jgLHh7CNCgutwFhBiCqlO4zFDOHFxYLFXBccFY8EpEAoLEdlTavtYGtem+yyZEHoVGIGUIgDBQRXDSCCsDuUAg5ny31RhpNoZZc4JGeVlS4VCXjwYjxiTGNGoMnhg995771Qc2YDiBSmCBJKg31+oHN5XiAXjRXkiDBWcUBjAo6cjPoptOWAIkkeGEYzB1NdB1jgEUFkwtgjJwqBk7ml8D8ZIWqqwog5DfDGmUH6///3vR0oSpIkQMgwqlKT4USSQJ56FNIRF97TOUHcpax+OZiBnjnGihGFEYmAyPorMoKAF4ovh3NLSksp82TgO5EXi4CLUEJU3FM2KX0P+NEY0R1oQLov6RAQEqinFldLQ+tvHGCN7N0WXcHyFKrVEBcTXPKGGadjDmBMiV3DYEPWA6sk+jBKOUw+HHY4AyCHOACJCCP8O5DENc9pTH8n1xUmD0knUB0WVULh5h/385z+PcoHz2cdwfBAJ4mMq0roS0tFvE8J0zJN7aQR6RAADipcp+Sc0wmzwKFONlLA6PMkYFOQVkp9EbhIeS4wnjEtCcTBC0xSWg2GBQQgh7itUjt9jUEKEIILhbEbCEMnNovQ3hjZEsdgbBA+jv68DjcM4CSHEG02OFeMjXAkjJKhO5KAy78UeXsichFw5jEQMIpQVHB6sefKyMKpCI4SYaoUY2xSowVgm5PLAAw+MDpCGLKRBFUcBZ40S5sxzjRKMoRw3BsM1rN1QdCXgwJhRkQkrBgee/7Q0yC5EEAKUG2oX1CJysMg3xRlGODQ/pyAN5InQcXKzejokvNgw6G0fC8cRMO/sb+zdhF3iEDrggAMiZwFrm2eBPY7nGMcPZKvYG+uZEHCOJCGXEsdNqArNWCGKvJ9Yw8wnTr+4c4cwVKJciPLgGeAzxZ5TCekjDBzCy1plLwsOnv72MUKMmWdCaGmse5y98QquxT7n7l96EDAhTM9cuadGoFcEyCWCEOBZp6EUkm8IOaShEuKVJPwm9wXKC4uXNEYn4WhpOdMOAoDaCUGIh8oRRkuFO4wlFCM8sMGLHvI3MKoochEOfMfrnsZQUjzPHEkRz5nDEQD5x7CikZvFvPNz1gcGBsYmxVnS0DB+Ubs5eiCQWJQxFLJgLKJ8kocDFmHN41XH4IIgh2eg2PPNwnxgOOLUwWlD2C/PLMYwDp/QCL9DBc4N/+Y5DhUcmfM05V5BBBhvrsELuSXnijBKjOmejpYhlBjDm4qljJk9ECJV7C13HwsKUsidZeyMGYLE88vaIAcNlZj1TV4l+xnrnwqlaWwhN5j3VHhGyZlkLnEKhYYT6OKLL47URq4j+iMN+ZT0n2cZhyxOjHCMUH/7GFERd9xxR6Qu4uQh5YH3GpikZdxpXI/Dtc8mhMN15j3ukkYgFFsIVTnXrl0bFSbo7dgGwMDIwODs6YiDYgUrHirHvynvjkHFOFAQcs8vY4wQ4FB0B9KAEYkBylEXaWsYR4RehUqE9J85hkChLATVjDkNSihEAgMSYyut7cgjj9zoTD4IL8Q394Bz8tJwCnz84x+PHANpbRRPwvhnbYd8yTC3GMW5+aSEGOMgiudfpnHskDyMYBR9SB77GpV1+2qhEA8YpCWXNL6PEUbJeib8O1TXJMcOEkxeMEQJ4oQ6Hogzax/lrKcQ2zTMeyCEqGjhmCD2ZeadCtnx9pe//CUKnY+fY5iGMfbUx/72MdJBiOYJ76ZwvBK5tqjhbkagkAiYEBYSTX+XESgSBIJ6QPgUhhRGFflXvFyDmoQRgsKw4447RuFZFHEgJ4dcJUgT/6fkN3kPaWihRDuhU7xIc0uVM0Y8rhAhKhSSn9bbge9pCKdkTgjBCkoI+UWooyhEqGeEU/E3obFBNeMzuQe7py2PlDGgbqL2Ei6JagDxgfAROhdvkOL77rsvUtHicwpZQm0iLLPYS9ozHnJhCYfF6Ge+eYZRwek/z3a8EV7G4eC55DisF8Jmiz3MLowH4gPB41nt75gJyCPEiKI8HK9DLmIaVRSUP9Yx6jeqH7mSVBbGuUc0BIe7U1E2HiLKPo+jgL95Lgg5JmoiLeHCKPyQHqI0IPIUSiJsOH4UCWuC68iJxgECJvHGgfcoh2nJI81nH8MRQI50yAMnSoCw6rgzIA3vZvcxHQiYEKZjntxLIzBgBCCF5FOhFmEYYVDGC3DwcoX0EYrEGVn8oUADDfUBg5Kz8PBCE2ZYKh7Jurq6qDADYaR4oQMhwEuN0cXRDoQjoUZAHIu9oYKRV0XBIIgOqghKKNX6MIoZYzjHECcAHmfyCBlfWvNIcVhg/DNmGkYSB7bHGwVZMKQ4siGsa35PiXtCo8ENYoTRmYb8K+YO1YhnFlWYQlAQJXKxQgMXjEjCvvldaITd8v/nnnsu2gsOOuigSEFPS4Gh/p7B+fPnR4o4BJlnuLfwb56P+DEt/X3v5vo9exB50pAc5h1yiLOOoxlyQ/+5FuWQaAGOJoEYEwEBkWZPp+BOGnJncdBAZMOYeZ5xfsRJfVB/c1VxMOIZxiFGdEha8kj728c4eoe9igJorAGUQULJGX9uS8va3lzPlO/bPwImhP1j5CuMQKoRQBnD8MUQgiSSVxM/rw/VDCOip1BRjGZURHIfCMdMS0W7+IRhDKOCxYvHQJLPOeecKASPnA6MEarakaeB4cW5Yddcc013jmEaFwDkgdAzVJbQUAdxAGBYYjzHiUQa80j7mhccIKxrxhtaOMMP5RsnB+sAlZE5jztL0jjf9JncIkIKeVbjRJHQO4xtsEBdIfwUI5q/06CQ9jYfKKYoRexPOAUIi89VBZlzDGvIBE4fqtYSFZGGBmHgT1C3cW4wf6zX0CA/KEcQxfhc8jNUNhR01DeNCALoAAAgAElEQVRUxzQow4yXceQSd5xXhH6j/rJ3xxt7HWsbJyb/DnmkqI21tbVpmOqN+oizNswlBJD9GqLMuzwe/s91hNDiEKHIDgoy+5qbERgMAiaEg0HNnzECKUUAo5DQSkhgOLIBgwLvIofW99QCeSIUMQ3V+3LHgCKEahAvmIPBgLGE2oLhjJJGqXdCcYJqQlEWcjxQ1NLYQh4SOUkYFxQeIgQNBYnw0p5aGvNI4+OA+HDoOYooZ5nlrlkKNLD244fdQxBQjdNqSKGEohhg8DN/oYpwHJfwDLAmCJMm1BgHCORx5syZqVvekAPUEornoJRC6kNuJYPh9xzbQJg8SjkVhol2oGFcp0El7GlSUHXZt6m+SQvHCLF39xZSi3KIQ4wogtyc6jRMPBEOEHiIEaQep1Y8/BunD2G0REZwZAsNRwEh1YTM4/xJW4Pc4nzlmWaskHocXESs8C4jLJgzHAmPJueSucfpwXPAO8vNCAwGARPCwaDmzxiBlCKAWkbZaiovHn300VHOBVXLqGJGSfOeGsQJAhWMSYjF888/H+WnpMXAgOhBjMinJP8KYkCuCS9QCDJeVxTBkHODeoInmt+n4ViKnuYNZQRyQAgVlRs5dgJCj6EUVJS+8kj5TuaaNYLBkQZ1OKgiHMeCEUkYYbxx/ASKEkQiFK/AyEY5wXCmcdA5xifGZbx6a7E+8vHqmswr/Y8bzPz//vvvj8JFCSnEoERJoYAHv+vrKJNiHjOEEKLHmOKNAlrkz+68887RHnfooYcK0sx8xvc51gqh8RCGtOxj9DecQ8gcs45R/wgZzW08u6x1yAOKIljwvFO1FAcRe10a1GEKKkF42c96GivjxMnDO43QSrBIY+5ofP54J7NPEwKLo4O/CaFFGb3xxhsjFZRcf+YU5xdOXa4hRYQ5RWV95JFHIucmqmHY64r1eXa/igMBE8LimAf3wggkigAeY7ytvDgIs8rNlePlS3gpJBCDgnwzCrVghBGWBskgd4VD0FHe0lCEBYWA88pQkMihw6OM4UDxBY7oiBcpIASHF3IowsPLFRUGZYWwUvI5cg3RRCcwz5sxjxgPhBWRV4bBFDeWessj5eeoaxAGitKguFCoJA1jBhrmCyOSMv1x5ZviLIQWohCRn0TYLP9HTSSvDnKFIgz5ZczkIKI+pCHXDlWEyousUXLICA0njBAjkVBDnlUUE6IBCBmHILGW4w3CEJw9aRhzT48B56piIEPm+RvHAIY0RjF5ebSnn346IlbsY1Qa5m+iJ9KgHLIfQwTZx9iTc48VIayQUHj2bvZ1lCXCJlnbrAPUJvZr/lBsipD5Ym+8p9iLUbRRtnuqCI3Dg/nm6A2U8p4aR3QQXoyzIA2NZ5p5xpEXFHDmDHUwVB/leWXcwaGJA4/xsw7Ihefzadq70zAvpdpHE8JSnVmPywgMEAFeMhBFQqwgEryAMCggTnjQQ4UzPLC8kDGYMaZR2noLQRxgFzbL5ZA7VCIKMNAYF2GVkB9etOFcN0JxML7IL4RYYlzNnTt3s/R5KDfNJ4+UvEOMr1DanUqdEGaU1TSQf/CB/KEUhpCxkJeDoYRxyeHYGFysc8YLUcbYIheHHDyqdUIgUA/JtUtLuDRKyfve975oifB8EhIa1E/Gxnl+cYWU6zCmQwgapLA31Wko6y7JzzL3kGGiAjjMG2cQxHj27NlRNwgPRjVEKWW8PMscZxGO6Umyr4W8F2uWoydYy0Q9oKCGhuOLPZzQUZwFPNuQS0Iy09J4L1GFFUcPzy7zHH8uSQEgGoR9KjSuoVIrTj6iQWh9Hb+UBixwejB/nKXLXBPBgVOLxruM9c57C0JIdA/OzdxnPg3jdB+TRcCEMFm8fTcjUJQI8KIlzIqXCyQIIjh69OiN+orShFGFshgaLx08kGnNv2IcEEIqMAZPO8Y/ChNKKOXPMaBRUggfDflW5FVSdTUNRRpyF1x/eaSB+ONlRj2mYVSBE0cchAqOEOe0hCIRRsjZZRjJEARCp1m7kCDydVCIwrg5741rCb1i3OSc8bOQc1uUD3AvnYLgUBgqHDsSnnP+j2pE2CgGIwo5YwQDHAYQZpRhWprmOReGkCvJz8NRLPyb8eEE4G+eYYxl1kF8b0vTPEMMIAgUHuGZJVQ8HuJNLiXODSrzhoJiaT+PlOcXRxV7UjiHk/cQIbHMLeG1rG8cPzg0Ca9kvqm4ippWCo13FeHg/7+9Ow3ZdHz/AH55IaJs2V/YSSN7GNkjyzuDN8TY9yVCyhhL8sIyw8gbWbJMQiGNeIGxlRCliDeiLJE9W5Tl3+eq8/lf7t/9zPOMeeae67zne9bk8Tz3cp7f87yu6/gex/c4Ds8iSh33KPdpZ7304Cz37q5DZBzWnjXMPAIhhDOPaT4xCFSJACkNeR1JEakcgtiVUIk8IIulMmcxshgYfs/o9sAlWdl3332bQw89tAoJVqnMKCoooiQC6OEq90LeBqkd41mRClJTHtiu7NL/e59Iqc/oe97ZVHmkPM0iB3JVSo6RnBbrLI2jEWa9AEnxivS2z4deVBAJUngB0YGB4iqkVEU+9ssvv7RFSESVRJKcgW4TdBI8UkxnW5RclKLvQ1VNe+TcHnHEEW10SGRMPqk1kAuSg7uGXbdK9yuwRHZniKqK/osoIcm1tZ5xr3JPclZFlvRUlUONQJHOwsU/TpJSsKPsqde7/3XPQF/3Wx6d+xgZ4WA+pAgo2bN1ihKWgRzKzxNRq/He7Rrm8ECCSWfl0LkvqYoNAwW03JtUJiUNFx1HGF3DHEAGbNzLnXM/1yAZLvtX5O3WKA94zpw57b3N9e46LdHukiPvmncdcwQoRsS5qR1PiZr39WxnXqNDIIRwdFjnm4JAFQiU/CsPx0GpHDkSr+xxxx3XPmQZFUWaIrfDeyS7M7w9fBT1qCHBn9RKtMhgKIsilQbfJY+Qwcw41gC9RM68HnkSMfTAZWiSYOnd2PcxLI9UNAgZQJSKhNY6RAsZxvafx5nhySuPcIgky1OSo9j3gRhybKgsS2o2LE+OoSW/kFElOlyGnFnrJT1zjQxi1Ne1M5SRWca/vVJgxNoQftJYjhv5hIpHiRAiCOWaLZEle8uwZHg7/yV62Nc1FzJL+sqxVaIlHDbuS5wDcOH4IqtjTBfHhnxbxEHVYcM5cd135Zd9Xvfg3EqF2XIf83fOjxJJJIWv+d7tWnRNyjP0XOKw0UZIFNCZdz+3t87CICnmCECmDVL4ySpt93G/FcjyfPXc6SpVShEh17jCaMWJ58x3i6tZk+gpZ0kN/Xb7uAfjNqcQwnHb0awnCMwAAox+BgQPIhkK44ghZajAqNy10v1ylZAEchSyK3lnJDkMbw9nuTmq/NU4GNEkZDzKZZTo4DCJbClYQlJZay6SAgUIg3UXI6M0Ry5FC8ixCpkgNfSzs8ITzytf22BQklV2+xAqpoPYTyYhRJ44DJyRmgcnh30VARYhYSCLjBsKcJRy/iRo8gzJErXoIKPteyTcGpAE5NY/P5MNliqd/i6q5r5VeviJnogwkYjLu3QfK7JDxnSNw/UqOtbtx+meTWooDcBejtu9u+yT+5kzK63BkGNIGVCGezai5Hnmnl4bMRIlLdJgxZE4fDhl3c+04HGuOT44bUUCOXS0suDUKeffc7zbq7bGM545zwwCIYQzg2M+JQiMLQKMRh5keSmiCR48DAokERnwEEKUPJhKYjsweGZJLhFDURlSNR7LGkqdmz+iIEIqimKNpY+faIFIw7DBcGYow6fGYU9F/0r/PmsWHRRF0PtMBJG33RpFz0RSDZHRP/74o0r5EQ+76rmkhCqNkhKKEDrPg20ryp4ii8ig/DtDcRK4lFymmvaeXE712eL0UU1X5NR/Xd8MSGeeoem1JNU1RIOH7YH7mKqjSJ9RGprbRxJRklkkwX1LLpaS/gZyXGN7DnPn0EH67ScyhAi6r5XKulPdu32GNAIRp1pyhrt7jxC5X3MKeH7JI+4OEkt7W/Jsy9/c+zhBB3Pp+3ptk7gjvnPnzm3zvEVNOWpF/z2DS440x0ZRsHBqIcLF8VXbmvu6F7XOK4Sw1p3LvIPACBHgQWU8kaN4sJLeiCSVh2UpysAw5oksxRwQI1FE8kQEQvSQh36yJsojXNKUX8X4VWyGMUQ+ybAiNfSQHTQOSbCQB6/pepo9hOWr+Ax5WjXIZxmO8ujk1okGq9LJ2CgRQ8RBbhaJ7WAjZPk8ZMQkW0gDJwJpcd+HCKcICkOJZJSH3ToKISjzRxZVMESYEcALL7ywJcmiSYgSwwt5qslwLrJQ+25vS06l8686I0OZRBQeNa1r2Jkj7ZYLKf/TfYohTOLuXia/EhakwJxBosT2t8hNfZ4oqmIlnFvuYTXkXyG4SJDq0XLr5Dt3q8hOde92vkX/nf2LLrqojbLW4tSzZ4ivqpucOJyb3Wu6qB8GC65weiKRsNt7773bM0Na3OeB+FLoWJN5c9qZ9/77799O2/45y/rqcu55FnlWkcHDpsY193k/apxbCGGNu5Y5B4FVhADjgExwkNgwHjUHJj/Zfffd24cL45KhXQYvOyLBACHNUcyi7w/ZEhEhqdtiiy1a4xExQhgYGWR0ZGYq2zGaFeQgszVI64qE0utL1G0Vbd1yfa0CQ/JvrJnklwFIPtdtOSFChiSU5uacBaKJGl7LzWJcy18SgashuqICp+gJaaECLAwqhpXy9oixHDpVZxlW8q/IrgaLLpGSKtCBSIiq1mA4c/S4rktvt8F9dt36m6JJog3d4bUlh4vjYFiD9OU6eCN4sbU625wX8gMLwUHm7asooTHYakX0ZP78+a2zS7SMs4cDgTOg743tEVm5ke5Xe+yxR1tcp4yp7t2uccTZNU0+z8HDqTfYw3IEW7fcX2FtN954YyuVLK1YyoeQWyK6WgchSJM5EFRn1eahFpm0vabWGOa8sQ7Rcfe12bNnt1JZBeFc22VwmtS25uU+GHnDUARCCHMwgkAQ+M8IIDrIQzEwyK6UAWdYl+jg4Id/8cUXbWQJaUQmamvdwDgSNSG/UoFUpIAXmUxnkAAUiaWHb+kF95/BXoVvFFVAdniSCwlClEhkRdZEXPydNJjMsLxGQQ+GJPldbYPnXITT+RTdRXgYlRwek51ZxlipWoswklvWNhQIQoz04SxDLrChFyVCzEFCkoZYqVYIK3vtPNQ6nFEFNooclsOHdFjUxbVOisfpIycNEXRt+9ke19Kjsrs307l3K6SE5DsT2pJ4j2gaZw9HTw15pMOeP85sqUDbbbEy7Owijgils90tJlbTOefMkhtcKqq+++67bX6/+9qwwm/jsOaa9qcvcw0h7MtOZB5BoEIEiuSGh5EhRU7FWJjMGBY15H0kRSPTEnETSTNqkBaapwINyI/8EsS2ND4ftn2ioSKDSIIG6GWIQiFZNXjZzZnUikHEkJJrRyqscI4oiQgTIozw8jx3C+7IR/RP9KW2gfBak7VPVyrneuAscDY4RhAIXnmy4VocH6JAjH0tCpAA5M9e+3/7jhTKlRRZE0kVOSEfZliXCLKcUtGZmnIqrc9+IYXIHrldUTnIs4OD9TGs3d9qkIsu65qbzr2bw47yg8OP7LT04iSRryW3rouBiDYCjwiJELuu5Ysua4gM22/nozi2vJcjsAYFgLWRv8qJds1Ke+C047zi4BtG6oetubb7d+a7/AiEEC4/ZnlHEAgCHQTIkETNSJL0NVO4oeQhlZd5+JAYytNRiISB5bUGLzxvPBkWklhDfiHDQnK+qnWTyV8ZTSRJJUrWPTQIokImSLQ119D0XPRXLqEooMF4FgUu0ZHSq5D8iuFEZsmIqrkhMlKD7CB3SN5kUjk5ZbBB/s4666w2ksAbX3qA+blEGboNw/t6I1FkBRFwzg0OH9IykmgRfnl2IqUlgtSt3On1IkqcQzXlVCL+1sFBJcItEsp5xWAmI+XocO9y3TsTJTLe1z2czrymc+8mpeYAc327lst9ezqf38fXdO/dcuqoAIbJK0mlKV1cB/rQWjuHAEee64Czo5Z8eM8ivQdVHuWM9MwS8R50Uk22Zvcx0XDFpg455JBW9VGLg6uPZ7Cvcwoh7OvOZF5BYEwQkF+noIxCI/IGRR0Gh7+JNCjx3i1933cI5BMxGknmBkt3L1q0qNErSpXSLglgYImaIQg8sQgW0ugB3c3R6+va7RWjmXE8aBSoWiciijwapKT+v/YhYkQ6WFoUMBAN0iq/Fx0jJ0WaupFgr+EMUXAGYWREIpc1DPNGcBGikuuLJHHsiCKSSSvAA5tua5bSukG+oehxbTmVot6ua4TX9WjPRVRKJNzeyRF1tikEukNEUe4hIoFEdmW3Nex5maP7EuJXcsU5RuRDu+YHq3TWtK7uXO2xe7S+qwqv2DvEB+HjzHAOOL3kApPNljxoDh8/SxeoKR9+2D5NZ81UHxx8KrRydLnfGZ7pNRRJq/V8rop5hxCuCtTznUFgNUCAscj45ZXkVUQGNTdf1vAaD1uytJpGKUuvmqgHqJwjMiORUEULugMxUJxElJDH1c+8rxoqi6jVNkSMVJFFcg3Go/UwjBnSNUQ/p4t5t/2A/DkRUsQJEZzK+BcxFT0dh8gSkidKKMKkAq9qvMgTwqiFBRk1mSlsOHms2bXgtbUNRj8yqAprGeTTCCFyJK+OjJxUHoEWSVbxcbIc6hrWr1KuvUJ+yqDk4BjothaqYS3TnaO1IoFk0ArvOMOlPUP5DFE29zakiHzevW/hwoWtA6HGXn7TWTMHIJktKbwUB9c4ZyZJNawyxgeBEMLx2cusJAj0CgEPSFJSxuJ0ZKAiDaJkHsTy1AxGljLhKlfWMEp7DZIzFTq7zaDN3xo9hEXQGJWlpP2yKsP1fd0inAoUiCSJGpEOi4Kq7sewGschQsog2meffdrIyXTaMSBGCjggFiKF8hOLxLoGGWl3H51XETAGMweIa5yBLLoCFw4RBFCUzUCaOHrkXDGm9SMdjKT29ZzYayTXdSsHyzVNUrtgwYJGRPypp55q71miKJwCiJO11dqL1D5wdqioihS6R7mvIcbI0Lhe0+5jpLHOKsek9gyDg2wY+bfXIuBF0VFrTuVUaxZBfPXVV9sz7xkMHzJxDoNBmXhfr9/Ma/oIhBBOH6u8MggEgZWAAI8jSR1pIU+rh48iHKWXoa9kmCgAoI9h3wfjQL4JMiyZ38NzcDAqSGMZHYOys76vb9j85OUwjkmtFNs48sgjqyw6sTKwRyiQwUcffbTd7yK5I61EKpSIn8wAXRnzmYnPlEMnYiDKLSLWHQiitYoOW2vXsC6tHLweoUS0aiDDIqGk4SJIZNJyyLRjIfUWKUSekHxEkdHcbf49E3ivis8gG9VX1r2ZdBLRHfeIUDeiLacd6VGApju01xElJZckla49l26yNZdCYs61c86Z5VoXFVU125mncMkYHwRCCMdnL7OSIFAFAvKuGMMlV0PDZEMeh2iLSIMh6vTll1+2D1+yHHJMBqR/NTyEGVR6tCGFRmlSXzap5FoxnmsgulUcrh5MUhsWZd3lziLI5IOMKvk3Khp2KxN2c/I4QRig2pf0fTAi9SsrxrIWMn5XcivNH5lAAEsv0lLhEUEkj0aGkUdFleQn1TDcu9x7yh6SxavUqJ+bSBonUIke1bCezHE4AvYV2SOR5bhwTXd7TZJMI0mu13EhyYNr1pbDs0lvYWfe/Yzjahwk7zn3wxEIIczJCAJBYKQIMBTl5MhHOOigg9r/Miy7CeoMag9b+XalL5gIlMqcPPW1lTwnwbrpppva3ldFKocsqMZYJIQj3YR82UpBADFSWdZQYVO5fud7qn5tyBUJGglqt23HSpnkSvhQ0X0OHo6b4qxx1rUtIDU0GNjIocq8JKWqHfrZdaBARc1DixLXMqPaPs6ZM6ealgQ14z6KudvTE044ob1/l2cR5wbnDoKkddI4jsWLF7cFpLrFlDg3FYVTZCdj/BAIIRy/Pc2KgkCvEZCDgNTp5eQBwwM7GPF7880324I05Ha1FqPoboJICIOR4Uh6hSAwnvVerKXqZK8PVU8m15VfyQ8kB15W03KvR5I4OuToKNTSjbL1ZFlTToO8u5xrUf7Sb9T1ray/obchI9PZl1/ajbhM+QU9f0GRt6tISVJHNiqPOGM8ECi9OT2rVBPm7KBYEUGbqlBarQjIc1dMRsTbNa13sGJvikUpEpcxfgiEEI7fnmZFQaAKBJT4JhtTaEV1zWEPmdLYXQRB9KTmwfjnbRUVUXRFARbFODQKzhgvBEoeKbmVc61NwSDRk5cmAk5+5vwPK2JREyqKcTCc5dEZyvmfe+65/4qUkVwqtiLaLzI+LlJpUV0VRhGFWpqV13S2+jBXKg/7K5ovv1BKw7KcPX2Y84rOoeu89fxCDkm8c8ZXFNl+vj+EsJ/7klkFgdUCAQ8ZVfpUO2NUqWiGKCliUIaS/gpP1CilWy02MYucFAF5pIqviJKpRGkggCSWS5cubXuckRh2z/u4wfncc8+11TnLcM2rMooskt2NwyArtK8l/3kc1pQ1BIGCAHm3fzX0yc2u/XcEQgj/O3Z5ZxAIAjOMgIqcogbyNTx8PITIdFQ1q7FH3wzDk4+rGAH9GbVRIREWLZw3b14za9asilc09dQRJbmUCkGdfvrp7RuKvJI8tsa+hFOvOq8IAkEgCNSHQAhhfXuWGQeBsUWAREWunSiC1gVyCVXnlGMV7/vYbvtqsbCSL6iyqNycbhGlcQbANayvqMJRe+21V7NkyZJWJj0OJfvHed+ytiAQBFYvBEIIV6/9zmqDQO8RkGekfLtefaKFmtXrbZcRBIJAnQh89913bcXC9957ry2ec/LJJ7eVRjOCQBAIAkGgHwiEEPZjHzKLIBAEgkAQCAJBIAgEgSAQBILAyBEIIRw55PnCIBAEgkAQCAJBIAgEgSAQBIJAPxAIIezHPmQWQSAIBIEgEASCQBAIAkEgCASBkSMQQjhyyPOFQSAIBIEgEASCQBAIAkEgCASBfiAQQtiPfcgsgkAQCAJBIAgEgSAQBIJAEAgCI0cghHDkkOcLg0AQCAJBIAgEgSAQBIJAEAgC/UAghLAf+5BZBIEgEASCQBAIAkEgCASBIBAERo5ACOHIIc8XBoEgEASCQBAIAkEgCASBIBAE+oFACGE/9iGzCAJBIAgEgSAQBIJAEAgCQSAIjByBEMKRQ54vDAJBIAgEgSAQBIJAEAgCQSAI9AOBEMJ+7ENmEQSCQBAIAkEgCASBIBAEgkAQGDkCIYQjhzxfGASCQBBYvRD466+/mhdeeKFZsmRJc9ddd61ei89qg0AQCAJBIAj0HIEQwp5vUKYXBIJAEKgZgffff7+ZP39+8+mnnzabbrpp89xzz9W8nMw9CASBIBAEgsDYIRBCOHZbmgUFgSAQBPqDwOLFi5vbb7+9nVAIYX/2JTMJAkEgCASBIFAQCCHMWQgCQSAIVI7ADz/80CxcuLB5+eWXm7XWWqs56KCDmkMPPbS5995725XtuOOOzbXXXtu8/fbbzaJFi9rf7bDDDs1WW23V3H///c3222/fXHPNNe1/n3322ebpp59uPvzww/azdtttt2aXXXZpTjzxxGadddaZQOr1119vHnjggebjjz9ufL+x4YYbNsccc0wzd+7cZpNNNmnuueee5rHHHpv4u9fMmjWrOeyww5ozzjijctQz/SAQBIJAEAgC44FACOF47GNWEQSCwGqKwN9//92ceuqpzQcffDApArvuumtL3l566aXmiiuuGPq61157rbn55pubZ555Zujf99lnn+aOO+5o1l577eatt95qzj///Em/b+edd24eeuih5sYbb2zzBgfHnDlzWgKaEQSCQBAIAkEgCKx6BEIIV/0eZAZBIAgEgf+MgKjfueeeO/F+ssx11123+eSTTyZ+tyxCWKJ6s2fPbi655JKJ95xzzjltFPH6669vfvvtt/b3SOBZZ53VEsfHH3+8/Z0o45VXXtl8++23zQ033DDxfpHBpUuXtq8rEUR/FCEUvTzzzDP/85rzxiAQBIJAEAgCQWDmEAghnDks80lBIAgEgZEj8OSTTzY33XTTxPc+//zzzQYbbNAce+yxzRdffNH+fjJCiEgifv/8809z6623tvJOA6m87bbb2p/vu+++5pVXXml/JkUVJTT+/PPPlgR+9tlnzeeff96SPzLSMu68887mgAMOaJJDOPIjkS8MAkEgCASBILBcCIQQLhdceXEQCAJBoF8IPProoy2ZM+T4kX4aKnvKB1wWIXziiSeabbbZpn3NBRdc0Lz55pvLXJxoovYRP/74Y3P33Xe38tISPRx8Ywhhv85JZhMEgkAQCAJBYDIEQghzNoJAEAgCFSMgd/CUU06ZWAGSt/nmmzfy9L7++utlEkI5heutt177mgULFjSPPPJI+zPi5/2DY4011mhlo6ShJTcQCfX9ZKAKz5QRQljxocrUg0AQCAJBYLVCIIRwtdruLDYIBIFxQ4B0c7/99vvXspC0buRuMsnoG2+80ay55prte1Uovfzyyyc+58EHH2x22mmnthjNzz//3Gy88cbNdttt1xx44IHNwQcfPPH5F198cXPaaae10cLrrrvufwihHEI5h2WQt26xxRbN7rvvPm5bkfUEgSAQBIJAEKgSgRDCKrctkw4CQSAI/D8Cg6TLX7qkcDqEEIEkG33vvfcmhVblUC0orrrqqlY6WoacwxKNLL+75ZZbmsMPP7yVsF566aX/+szjjz++ufrqq7OFQSAIBIEgEASCQA8QCCHswSZkCkEgCASBFUVAtVERP7JOEcMXX3xxohKoyp4PP/zw/7Sd6EYIff+vv/7atopQmKY7tt1222bevHnNnnvu2f76o48+avsZliIyyKciNl999VVbXMY4+eSTm8suu6wtPqPFRPcz9SEsRWtWdN15fxAIAkEgCASBILBiCIQQrnI0Ip8AAAFoSURBVBh+eXcQCAJBYJUi8M4777QROO0fttxyy7bPoBzAk046aaL1xNFHH/2vSqRTTfj3339vvvnmm/Zl66+//kSe4eD7fvrpp1Y6utlmm7VEdFlDRdJffvml2WijjSb9vKnmlb8HgSAQBIJAEAgCM49ACOHMY5pPDAJBIAiMDAFE66ijjlrm9xX55sgmlS8KAkEgCASBIBAEqkEghLCarcpEg0AQCALDEVDQReGWYS0gzj777Oa8884LdEEgCASBIBAEgkAQGIpACGEORhAIAkFgDBAg8/zkk0+a77//vs3bI83ceuutI88cg73NEoJAEAgCQSAIrEwEQghXJrr57CAQBIJAEAgCQSAIBIEgEASCQI8RCCHs8eZkakEgCASBIBAEgkAQCAJBIAgEgZWJQAjhykQ3nx0EgkAQCAJBIAgEgSAQBIJAEOgxAiGEPd6cTC0IBIEgEASCQBAIAkEgCASBILAyEfg/hyj7HCySGp0AAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.contribution_plot(col=top_positive.loc[0, \"term\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a427f748",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.confusion_matrix_plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3199b042",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained sample index: 1574\n"
     ]
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "raw_text",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "is_mitigated",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "true_label",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "predicted_label",
         "rawType": "object",
         "type": "string"
        }
       ],
       "ref": "924a72fb-6595-4f8c-add7-c4405cac1f56",
       "rows": [
        [
         "1574",
         "Delivery was on time, yet overall usage remained frustrating.",
         "1",
         "satisfied",
         "frustrated"
        ]
       ],
       "shape": {
        "columns": 4,
        "rows": 1
       }
      },
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>raw_text</th>\n",
       "      <th>is_mitigated</th>\n",
       "      <th>true_label</th>\n",
       "      <th>predicted_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1574</th>\n",
       "      <td>Delivery was on time, yet overall usage remain...</td>\n",
       "      <td>1</td>\n",
       "      <td>satisfied</td>\n",
       "      <td>frustrated</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               raw_text  is_mitigated  \\\n",
       "1574  Delivery was on time, yet overall usage remain...             1   \n",
       "\n",
       "     true_label predicted_label  \n",
       "1574  satisfied      frustrated  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Prefer a misclassified example for a more insightful local explanation.\n",
    "test_pred = predicted_code\n",
    "misclassified_idx = y_test[y_test != test_pred].index\n",
    "\n",
    "if len(misclassified_idx) > 0:\n",
    "    sample_idx = misclassified_idx[0]\n",
    "else:\n",
    "    # Fallback: pick the closest probability to 0.5.\n",
    "    confidence_gap = (proba_values.iloc[:, 0] - 0.5).abs()\n",
    "    sample_idx = confidence_gap.idxmin()\n",
    "\n",
    "print(\"Explained sample index:\", sample_idx)\n",
    "display(additional_data.loc[[sample_idx]])\n",
    "xpl.plot.local_plot(index=sample_idx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "169f46dd",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Your Shapash application run on http://PMP01087:8060/\n",
      "INFO:root:Use the method .kill() to down your app.\n"
     ]
    }
   ],
   "source": [
    "# Optional: launch the interactive Shapash webapp (uncomment to run).\n",
    "app = xpl.run_app(title_story=\"TF-IDF NLP classification explainability\", port=8060)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6abe2e4",
   "metadata": {},
   "source": [
    "## 5. Key takeaways\n",
    "\n",
    "- TF-IDF + Logistic Regression is a strong and interpretable NLP baseline.\n",
    "- Coefficients provide a first global view of influential terms.\n",
    "- Shapash helps investigate both global and local prediction drivers in a unified interface.\n",
    "\n",
    "### Production tips\n",
    "- Keep vectorizer and model versions aligned (same vocabulary at inference).\n",
    "- Track vocabulary drift and out-of-vocabulary rate over time.\n",
    "- Monitor class balance changes and confidence calibration."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "survptf_312",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}