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    "# 📊 Univariate, Bivariate र Multivariate Analysis\n",
    "\n",
    "---\n",
    "\n",
    "## किन चाहिन्छ यो?\n",
    "\n",
    "Data analysis गर्दा सबैभन्दा पहिले **data कस्तो छ** भनेर बुझ्नु पर्छ।  \n",
    "कतिवटा variable एकैसाथ हेर्दैछौं भन्ने अनुसार analysis को नाम फरक हुन्छ।\n",
    "\n",
    "```\n",
    "१ वटा variable  →  Univariate Analysis\n",
    "२ वटा variable  →  Bivariate Analysis\n",
    "३+ वटा variable →  Multivariate Analysis\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "---\n",
    "\n",
    "## 1️⃣ Univariate Analysis\n",
    "\n",
    "### परिभाषा\n",
    "> **एउटा मात्र variable/column** लाई हेरेर त्यसको distribution, pattern र summary निकाल्नु।\n",
    "\n",
    "अरू कुनै column सँग compare **गरिँदैन** — एक्लै अध्ययन गरिन्छ।\n",
    "\n",
    "---\n",
    "\n",
    "### उदाहरण\n",
    "\n",
    "```\n",
    "विद्यार्थीहरूको उचाइ (cm):\n",
    "[150, 155, 160, 160, 165, 170, 170, 175, 180]\n",
    "\n",
    "हेर्ने कुराहरू:\n",
    "  ├── Mean     → 165 cm (औसत)\n",
    "  ├── Median   → 165 cm (बीचको मान)\n",
    "  ├── Mode     → 160, 170 (सबैभन्दा धेरै आउने)\n",
    "  ├── Min/Max  → 150 / 180\n",
    "  └── Spread   → कति फैलिएको छ data?\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "### के-के हेर्छौं?\n",
    "\n",
    "| Measure | अर्थ | Example |\n",
    "|:---|:---|:---|\n",
    "| **Mean** | सबैको औसत | (150+180+...) / 9 |\n",
    "| **Median** | बीचको मान | sorted गरेपछि बीचको |\n",
    "| **Mode** | सबैभन्दा धेरै आउने | 160 र 170 |\n",
    "| **Variance** | data कति फैलिएको छ | ठूलो = बढी scatter |\n",
    "| **Std Dev** | औसतबाट कति टाढा | variance को square root |\n",
    "| **Skewness** | data कुन तर्फ झुकेको | left या right |\n",
    "\n",
    "---\n",
    "\n",
    "### Tools र Charts\n",
    "\n",
    "```\n",
    "Histogram     →  data को distribution हेर्न\n",
    "Box Plot      →  outlier र spread हेर्न\n",
    "Bar Chart     →  category count हेर्न\n",
    "Pie Chart     →  percentage हेर्न\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "### Code\n",
    "\n",
    "```python\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df['उचाइ'].describe()          # mean, std, min, max सबै एकैसाथ\n",
    "df['उचाइ'].hist()              # histogram\n",
    "df['उचाइ'].plot(kind='box')    # box plot\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "### Use Case\n",
    "\n",
    "- Data मा कुनै **outlier** छ कि छैन हेर्न\n",
    "- Data **normal distribution** follow गर्छ कि गर्दैन जाँच्न\n",
    "- **Missing values** को अवस्था बुझ्न\n",
    "- Data को **overall shape** बुझ्न\n",
    "\n",
    "---\n",
    "---\n",
    "\n",
    "## 2️⃣ Bivariate Analysis\n",
    "\n",
    "### परिभाषा\n",
    "> **दुईवटा variable** को बीचको **सम्बन्ध (relationship)** हेर्नु।  \n",
    "> एउटा बढ्दा अर्को के हुन्छ — त्यो पत्ता लगाउनु।\n",
    "\n",
    "---\n",
    "\n",
    "### उदाहरण\n",
    "\n",
    "```\n",
    "उचाइ (cm)  →  तौल (kg)\n",
    "─────────────────────────\n",
    "   150     →    50\n",
    "   160     →    60    ← उचाइ बढ्दा तौल पनि बढ्यो\n",
    "   170     →    70\n",
    "   180     →    80\n",
    "```\n",
    "\n",
    "यहाँ **उचाइ र तौल** बीच सम्बन्ध छ — यही Bivariate Analysis हो।\n",
    "\n",
    "---\n",
    "\n",
    "### सम्बन्धका प्रकार\n",
    "\n",
    "```\n",
    "Positive Correlation  →  एउटा बढ्दा अर्को पनि बढ्छ\n",
    "                          उचाइ ↑  तौल ↑\n",
    "\n",
    "Negative Correlation  →  एउटा बढ्दा अर्को घट्छ\n",
    "                          Exercise ↑  Weight ↓\n",
    "\n",
    "No Correlation        →  कुनै सम्बन्ध छैन\n",
    "                          जुत्ताको साइज ↑  IQ — कुनै सम्बन्ध छैन\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "### Correlation Value को अर्थ\n",
    "\n",
    "| Value | अर्थ |\n",
    "|:---:|:---|\n",
    "| `+1.0` | Perfect positive — एकदमै strong सम्बन्ध |\n",
    "| `+0.7` | Strong positive |\n",
    "| `+0.3` | Weak positive |\n",
    "| `0.0` | कुनै सम्बन्ध छैन |\n",
    "| `-0.3` | Weak negative |\n",
    "| `-0.7` | Strong negative |\n",
    "| `-1.0` | Perfect negative |\n",
    "\n",
    "---\n",
    "\n",
    "### Variable को प्रकार अनुसार Analysis\n",
    "\n",
    "| Variable 1 | Variable 2 | Chart |\n",
    "|:---:|:---:|:---|\n",
    "| Number | Number | Scatter Plot, Correlation |\n",
    "| Category | Number | Box Plot, Bar Chart |\n",
    "| Category | Category | Cross Tab, Grouped Bar |\n",
    "\n",
    "---\n",
    "\n",
    "### Code\n",
    "\n",
    "```python\n",
    "# Correlation निकाल्न\n",
    "df[['उचाइ', 'तौल']].corr()\n",
    "\n",
    "# Scatter Plot\n",
    "df.plot(x='उचाइ', y='तौल', kind='scatter')\n",
    "\n",
    "# Box Plot (category vs number)\n",
    "df.boxplot(column='marks', by='gender')\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "### Use Case\n",
    "\n",
    "- **Features र target** बीच सम्बन्ध छ कि छैन हेर्न\n",
    "- **Multicollinearity** पत्ता लगाउन (दुई feature एकै कुरा बताउँछन् कि?)\n",
    "- कुन feature **model मा राख्ने** भनेर निर्णय गर्न\n",
    "- Sales र Advertisement बीच **कति असर** छ हेर्न\n",
    "\n",
    "---\n",
    "---\n",
    "\n",
    "## 3️⃣ Multivariate Analysis\n",
    "\n",
    "### परिभाषा\n",
    "> **तीनवटा वा सोभन्दा बढी variables** को बीचको सम्बन्ध **एकैसाथ** हेर्नु।  \n",
    "> कुन feature ले कुन feature मा कति असर गर्छ — सबै एकैपटक बुझ्नु।\n",
    "\n",
    "---\n",
    "\n",
    "### उदाहरण\n",
    "\n",
    "```\n",
    "उचाइ + तौल + उमेर + exercise_hours + marks\n",
    "          ↓\n",
    "प्रश्न: यी सबैको बीच कस्तो सम्बन्ध छ?\n",
    "        कुन feature ले marks मा सबैभन्दा बढी असर गर्छ?\n",
    "        कुन दुई feature एकै कुरा बताउँछन्?\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "### Tools र Charts\n",
    "\n",
    "```\n",
    "Heatmap      →  सबै features को correlation एकैसाथ देखाउँछ\n",
    "Pair Plot    →  सबै features को scatter plot एकैसाथ\n",
    "PCA          →  धेरै features लाई कम मा घटाउन\n",
    "3D Scatter   →  तीनवटा feature एकैसाथ plot गर्न\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "### Heatmap बुझ्ने तरिका\n",
    "\n",
    "```\n",
    "           उचाइ  तौल  उमेर  marks\n",
    "उचाइ   [  1.0   0.8   0.3   0.5 ]\n",
    "तौल    [  0.8   1.0   0.2   0.4 ]\n",
    "उमेर   [  0.3   0.2   1.0   0.6 ]\n",
    "marks  [  0.5   0.4   0.6   1.0 ]\n",
    "\n",
    "→ उचाइ र तौल बीच 0.8  =  strong सम्बन्ध!\n",
    "→ उमेर र marks बीच 0.6 =  moderate सम्बन्ध\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "### Code\n",
    "\n",
    "```python\n",
    "import seaborn as sns\n",
    "\n",
    "# Heatmap — सबै correlation एकैसाथ\n",
    "sns.heatmap(df.corr(), annot=True, cmap='coolwarm')\n",
    "\n",
    "# Pair Plot — सबै scatter एकैसाथ\n",
    "sns.pairplot(df)\n",
    "\n",
    "# PCA — features घटाउन\n",
    "from sklearn.decomposition import PCA\n",
    "pca = PCA(n_components=2)\n",
    "X_reduced = pca.fit_transform(X)\n",
    "```\n",
    "\n",
    "---\n",
    "\n",
    "### Use Case\n",
    "\n",
    "- **Feature selection** — कुन feature राख्ने, कुन हटाउने\n",
    "- **Multicollinearity** detect गर्न — धेरै feature एउटै कुरा बताउँछन् कि?\n",
    "- **Pattern** खोज्न — data मा लुकेको structure बुझ्न\n",
    "- **Dimensionality Reduction** — धेरै features लाई कम गर्न (PCA)\n",
    "\n",
    "---\n",
    "---\n",
    "\n",
    "## ⚖️ तीनवटाको तुलना\n",
    "\n",
    "| | Univariate | Bivariate | Multivariate |\n",
    "|:---|:---:|:---:|:---:|\n",
    "| **Variables** | १ वटा | २ वटा | ३+ वटा |\n",
    "| **उद्देश्य** | बुझ्नु | सम्बन्ध हेर्नु | Pattern खोज्नु |\n",
    "| **Chart** | Histogram, Box | Scatter, Bar | Heatmap, Pairplot |\n",
    "| **प्रश्न** | Data कस्तो छ? | सम्बन्ध छ? | सबैको बीच के छ? |\n",
    "| **Example** | उचाइ मात्र | उचाइ र तौल | उचाइ+तौल+उमेर+marks |\n",
    "\n",
    "---\n",
    "\n",
    "## 🎯 सार\n",
    "\n",
    "```\n",
    "Data analysis को क्रम:\n",
    "\n",
    "Step 1 → Univariate   : प्रत्येक column बुझ्नु\n",
    "Step 2 → Bivariate    : दुई-दुई column को सम्बन्ध हेर्नु  \n",
    "Step 3 → Multivariate : सबै मिलाएर pattern खोज्नु\n",
    "                              ↓\n",
    "                        Model बनाउन तयार!\n",
    "```\n",
    "\n",
    "> 💡 **नियम:** पहिले Univariate गर — data clean छ कि छैन थाहा हुन्छ।  \n",
    "> अनि Bivariate — कुन feature important छ थाहा हुन्छ।  \n",
    "> अन्तमा Multivariate — सबै मिलाएर deep pattern बुझिन्छ।\n",
    "\n",
    "------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9a87c776",
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "0                5.1               3.5                1.4               0.2\n",
       "1                4.9               3.0                1.4               0.2\n",
       "2                4.7               3.2                1.3               0.2\n",
       "3                4.6               3.1                1.5               0.2\n",
       "4                5.0               3.6                1.4               0.2"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.datasets import load_iris\n",
    "iris = load_iris()\n",
    "table = pd.DataFrame(iris.data,columns=iris.feature_names)\n",
    "table.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0de67e3f",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                5.1               3.5                1.4               0.2   \n",
       "1                4.9               3.0                1.4               0.2   \n",
       "2                4.7               3.2                1.3               0.2   \n",
       "3                4.6               3.1                1.5               0.2   \n",
       "4                5.0               3.6                1.4               0.2   \n",
       "\n",
       "   target  \n",
       "0       0  \n",
       "1       0  \n",
       "2       0  \n",
       "3       0  \n",
       "4       0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table['target'] = iris.target\n",
    "table.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "db6d0eb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(150, 5)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d33a2f67",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setosa matra ko data jun 50 sample xa \n",
    "setosa=table.loc[table['target']==0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3306f6eb",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>5.2</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>5.5</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>5.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>4.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>5.3</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                 5.1               3.5                1.4               0.2   \n",
       "1                 4.9               3.0                1.4               0.2   \n",
       "2                 4.7               3.2                1.3               0.2   \n",
       "3                 4.6               3.1                1.5               0.2   \n",
       "4                 5.0               3.6                1.4               0.2   \n",
       "5                 5.4               3.9                1.7               0.4   \n",
       "6                 4.6               3.4                1.4               0.3   \n",
       "7                 5.0               3.4                1.5               0.2   \n",
       "8                 4.4               2.9                1.4               0.2   \n",
       "9                 4.9               3.1                1.5               0.1   \n",
       "10                5.4               3.7                1.5               0.2   \n",
       "11                4.8               3.4                1.6               0.2   \n",
       "12                4.8               3.0                1.4               0.1   \n",
       "13                4.3               3.0                1.1               0.1   \n",
       "14                5.8               4.0                1.2               0.2   \n",
       "15                5.7               4.4                1.5               0.4   \n",
       "16                5.4               3.9                1.3               0.4   \n",
       "17                5.1               3.5                1.4               0.3   \n",
       "18                5.7               3.8                1.7               0.3   \n",
       "19                5.1               3.8                1.5               0.3   \n",
       "20                5.4               3.4                1.7               0.2   \n",
       "21                5.1               3.7                1.5               0.4   \n",
       "22                4.6               3.6                1.0               0.2   \n",
       "23                5.1               3.3                1.7               0.5   \n",
       "24                4.8               3.4                1.9               0.2   \n",
       "25                5.0               3.0                1.6               0.2   \n",
       "26                5.0               3.4                1.6               0.4   \n",
       "27                5.2               3.5                1.5               0.2   \n",
       "28                5.2               3.4                1.4               0.2   \n",
       "29                4.7               3.2                1.6               0.2   \n",
       "30                4.8               3.1                1.6               0.2   \n",
       "31                5.4               3.4                1.5               0.4   \n",
       "32                5.2               4.1                1.5               0.1   \n",
       "33                5.5               4.2                1.4               0.2   \n",
       "34                4.9               3.1                1.5               0.2   \n",
       "35                5.0               3.2                1.2               0.2   \n",
       "36                5.5               3.5                1.3               0.2   \n",
       "37                4.9               3.6                1.4               0.1   \n",
       "38                4.4               3.0                1.3               0.2   \n",
       "39                5.1               3.4                1.5               0.2   \n",
       "40                5.0               3.5                1.3               0.3   \n",
       "41                4.5               2.3                1.3               0.3   \n",
       "42                4.4               3.2                1.3               0.2   \n",
       "43                5.0               3.5                1.6               0.6   \n",
       "44                5.1               3.8                1.9               0.4   \n",
       "45                4.8               3.0                1.4               0.3   \n",
       "46                5.1               3.8                1.6               0.2   \n",
       "47                4.6               3.2                1.4               0.2   \n",
       "48                5.3               3.7                1.5               0.2   \n",
       "49                5.0               3.3                1.4               0.2   \n",
       "\n",
       "    target  \n",
       "0        0  \n",
       "1        0  \n",
       "2        0  \n",
       "3        0  \n",
       "4        0  \n",
       "5        0  \n",
       "6        0  \n",
       "7        0  \n",
       "8        0  \n",
       "9        0  \n",
       "10       0  \n",
       "11       0  \n",
       "12       0  \n",
       "13       0  \n",
       "14       0  \n",
       "15       0  \n",
       "16       0  \n",
       "17       0  \n",
       "18       0  \n",
       "19       0  \n",
       "20       0  \n",
       "21       0  \n",
       "22       0  \n",
       "23       0  \n",
       "24       0  \n",
       "25       0  \n",
       "26       0  \n",
       "27       0  \n",
       "28       0  \n",
       "29       0  \n",
       "30       0  \n",
       "31       0  \n",
       "32       0  \n",
       "33       0  \n",
       "34       0  \n",
       "35       0  \n",
       "36       0  \n",
       "37       0  \n",
       "38       0  \n",
       "39       0  \n",
       "40       0  \n",
       "41       0  \n",
       "42       0  \n",
       "43       0  \n",
       "44       0  \n",
       "45       0  \n",
       "46       0  \n",
       "47       0  \n",
       "48       0  \n",
       "49       0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "setosa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "be2711af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>4.9</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>6.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>5.2</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>5.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>6.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>6.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>5.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>5.1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "50                7.0               3.2                4.7               1.4   \n",
       "51                6.4               3.2                4.5               1.5   \n",
       "52                6.9               3.1                4.9               1.5   \n",
       "53                5.5               2.3                4.0               1.3   \n",
       "54                6.5               2.8                4.6               1.5   \n",
       "55                5.7               2.8                4.5               1.3   \n",
       "56                6.3               3.3                4.7               1.6   \n",
       "57                4.9               2.4                3.3               1.0   \n",
       "58                6.6               2.9                4.6               1.3   \n",
       "59                5.2               2.7                3.9               1.4   \n",
       "60                5.0               2.0                3.5               1.0   \n",
       "61                5.9               3.0                4.2               1.5   \n",
       "62                6.0               2.2                4.0               1.0   \n",
       "63                6.1               2.9                4.7               1.4   \n",
       "64                5.6               2.9                3.6               1.3   \n",
       "65                6.7               3.1                4.4               1.4   \n",
       "66                5.6               3.0                4.5               1.5   \n",
       "67                5.8               2.7                4.1               1.0   \n",
       "68                6.2               2.2                4.5               1.5   \n",
       "69                5.6               2.5                3.9               1.1   \n",
       "70                5.9               3.2                4.8               1.8   \n",
       "71                6.1               2.8                4.0               1.3   \n",
       "72                6.3               2.5                4.9               1.5   \n",
       "73                6.1               2.8                4.7               1.2   \n",
       "74                6.4               2.9                4.3               1.3   \n",
       "75                6.6               3.0                4.4               1.4   \n",
       "76                6.8               2.8                4.8               1.4   \n",
       "77                6.7               3.0                5.0               1.7   \n",
       "78                6.0               2.9                4.5               1.5   \n",
       "79                5.7               2.6                3.5               1.0   \n",
       "80                5.5               2.4                3.8               1.1   \n",
       "81                5.5               2.4                3.7               1.0   \n",
       "82                5.8               2.7                3.9               1.2   \n",
       "83                6.0               2.7                5.1               1.6   \n",
       "84                5.4               3.0                4.5               1.5   \n",
       "85                6.0               3.4                4.5               1.6   \n",
       "86                6.7               3.1                4.7               1.5   \n",
       "87                6.3               2.3                4.4               1.3   \n",
       "88                5.6               3.0                4.1               1.3   \n",
       "89                5.5               2.5                4.0               1.3   \n",
       "90                5.5               2.6                4.4               1.2   \n",
       "91                6.1               3.0                4.6               1.4   \n",
       "92                5.8               2.6                4.0               1.2   \n",
       "93                5.0               2.3                3.3               1.0   \n",
       "94                5.6               2.7                4.2               1.3   \n",
       "95                5.7               3.0                4.2               1.2   \n",
       "96                5.7               2.9                4.2               1.3   \n",
       "97                6.2               2.9                4.3               1.3   \n",
       "98                5.1               2.5                3.0               1.1   \n",
       "99                5.7               2.8                4.1               1.3   \n",
       "\n",
       "    target  \n",
       "50       1  \n",
       "51       1  \n",
       "52       1  \n",
       "53       1  \n",
       "54       1  \n",
       "55       1  \n",
       "56       1  \n",
       "57       1  \n",
       "58       1  \n",
       "59       1  \n",
       "60       1  \n",
       "61       1  \n",
       "62       1  \n",
       "63       1  \n",
       "64       1  \n",
       "65       1  \n",
       "66       1  \n",
       "67       1  \n",
       "68       1  \n",
       "69       1  \n",
       "70       1  \n",
       "71       1  \n",
       "72       1  \n",
       "73       1  \n",
       "74       1  \n",
       "75       1  \n",
       "76       1  \n",
       "77       1  \n",
       "78       1  \n",
       "79       1  \n",
       "80       1  \n",
       "81       1  \n",
       "82       1  \n",
       "83       1  \n",
       "84       1  \n",
       "85       1  \n",
       "86       1  \n",
       "87       1  \n",
       "88       1  \n",
       "89       1  \n",
       "90       1  \n",
       "91       1  \n",
       "92       1  \n",
       "93       1  \n",
       "94       1  \n",
       "95       1  \n",
       "96       1  \n",
       "97       1  \n",
       "98       1  \n",
       "99       1  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# virginica ko sample matra jun 50 sample xa \n",
    "virginica=table.loc[table['target']==1]\n",
    "virginica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8b029b98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
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       "      <th>101</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>7.1</td>\n",
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       "      <td>5.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>7.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>4.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>7.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>6.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.3</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "100                6.3               3.3                6.0               2.5   \n",
       "101                5.8               2.7                5.1               1.9   \n",
       "102                7.1               3.0                5.9               2.1   \n",
       "103                6.3               2.9                5.6               1.8   \n",
       "104                6.5               3.0                5.8               2.2   \n",
       "105                7.6               3.0                6.6               2.1   \n",
       "106                4.9               2.5                4.5               1.7   \n",
       "107                7.3               2.9                6.3               1.8   \n",
       "108                6.7               2.5                5.8               1.8   \n",
       "109                7.2               3.6                6.1               2.5   \n",
       "110                6.5               3.2                5.1               2.0   \n",
       "111                6.4               2.7                5.3               1.9   \n",
       "112                6.8               3.0                5.5               2.1   \n",
       "113                5.7               2.5                5.0               2.0   \n",
       "114                5.8               2.8                5.1               2.4   \n",
       "115                6.4               3.2                5.3               2.3   \n",
       "116                6.5               3.0                5.5               1.8   \n",
       "117                7.7               3.8                6.7               2.2   \n",
       "118                7.7               2.6                6.9               2.3   \n",
       "119                6.0               2.2                5.0               1.5   \n",
       "120                6.9               3.2                5.7               2.3   \n",
       "121                5.6               2.8                4.9               2.0   \n",
       "122                7.7               2.8                6.7               2.0   \n",
       "123                6.3               2.7                4.9               1.8   \n",
       "124                6.7               3.3                5.7               2.1   \n",
       "125                7.2               3.2                6.0               1.8   \n",
       "126                6.2               2.8                4.8               1.8   \n",
       "127                6.1               3.0                4.9               1.8   \n",
       "128                6.4               2.8                5.6               2.1   \n",
       "129                7.2               3.0                5.8               1.6   \n",
       "130                7.4               2.8                6.1               1.9   \n",
       "131                7.9               3.8                6.4               2.0   \n",
       "132                6.4               2.8                5.6               2.2   \n",
       "133                6.3               2.8                5.1               1.5   \n",
       "134                6.1               2.6                5.6               1.4   \n",
       "135                7.7               3.0                6.1               2.3   \n",
       "136                6.3               3.4                5.6               2.4   \n",
       "137                6.4               3.1                5.5               1.8   \n",
       "138                6.0               3.0                4.8               1.8   \n",
       "139                6.9               3.1                5.4               2.1   \n",
       "140                6.7               3.1                5.6               2.4   \n",
       "141                6.9               3.1                5.1               2.3   \n",
       "142                5.8               2.7                5.1               1.9   \n",
       "143                6.8               3.2                5.9               2.3   \n",
       "144                6.7               3.3                5.7               2.5   \n",
       "145                6.7               3.0                5.2               2.3   \n",
       "146                6.3               2.5                5.0               1.9   \n",
       "147                6.5               3.0                5.2               2.0   \n",
       "148                6.2               3.4                5.4               2.3   \n",
       "149                5.9               3.0                5.1               1.8   \n",
       "\n",
       "     target  \n",
       "100       2  \n",
       "101       2  \n",
       "102       2  \n",
       "103       2  \n",
       "104       2  \n",
       "105       2  \n",
       "106       2  \n",
       "107       2  \n",
       "108       2  \n",
       "109       2  \n",
       "110       2  \n",
       "111       2  \n",
       "112       2  \n",
       "113       2  \n",
       "114       2  \n",
       "115       2  \n",
       "116       2  \n",
       "117       2  \n",
       "118       2  \n",
       "119       2  \n",
       "120       2  \n",
       "121       2  \n",
       "122       2  \n",
       "123       2  \n",
       "124       2  \n",
       "125       2  \n",
       "126       2  \n",
       "127       2  \n",
       "128       2  \n",
       "129       2  \n",
       "130       2  \n",
       "131       2  \n",
       "132       2  \n",
       "133       2  \n",
       "134       2  \n",
       "135       2  \n",
       "136       2  \n",
       "137       2  \n",
       "138       2  \n",
       "139       2  \n",
       "140       2  \n",
       "141       2  \n",
       "142       2  \n",
       "143       2  \n",
       "144       2  \n",
       "145       2  \n",
       "146       2  \n",
       "147       2  \n",
       "148       2  \n",
       "149       2  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "versicolor=table.loc[table['target']==2]\n",
    "versicolor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bd4d6cad",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d6c59bd4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'sepal length')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(setosa['sepal length (cm)'],np.zeros_like(setosa['sepal length (cm)']),'s')\n",
    "plt.plot(virginica['sepal length (cm)'],np.zeros_like(virginica['sepal length (cm)']),'o')\n",
    "plt.plot(versicolor['sepal length (cm)'],np.zeros_like(versicolor['sepal length (cm)']),'d')\n",
    "plt.xlabel('sepal length')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "440505c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.zeros_like(setosa['sepal length (cm)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "05fd8fc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(table['sepal length (cm)'],table['petal length (cm)'],c=table['target'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3463b36f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\s230250\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\seaborn\\axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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fFIpKYkIScTEJ+Pn78NITHfK0utX+7z9EIpHg4+udo25DbEwCifEJ+AcGiNBBEMFDWaBPTyX54lk8K1ZGprJfYC4j+i4mgx6/WvVc3DpByLuy2D9Lm+tXbtKz/VCb1S0qV63I9au3rH+uWj2StdsXUaGi+12AC8VH9E/BXVy5dJ2e7XMu9wfm8OGhJvVJTkxhxZa5bhk0ZCf6plDU0tMy+PXHI4wZNB1nXxV7DexM197t8A/wc2HrBHclplqUAQaNuXaDoxoP5scUGLVi2RpBKO8qV6vEpt3LCA0Ltm4ToYMgCGVJtRqV2bR7WY5RX2AeFVaWQgdBKA6eXmqefLY581dMsVu4HkToIOSfCB7KAIMmE4lMhsTOUlIWUrkCk0GPyWBwYcsEQSiN7IUPIEIHQRDKDkfhQ60HqovQQRDywFn4IEIHoSBE8FAGGLUap6MdwDziAcTKFoIgmGUPH0ToIAhCWZM9fBChgyDkj73wQYQOQkGJ4KEMMGgykcgVTvexPC6mWwhC2Zeelp6n/SzhQ7PHG4vQQRAEt5Df5X4t4cOjLZqI0EEQ7slPP8oaPvQe1EWEDkKBieChDDCPeMgleJDJQCLBqBMjHgShLEtKTGb/3oNcu3IjT/tXrlaJBSunidBBEIRS78rFa3zxybckJ6Xk63nValRmwcqpInQQBCAhPpEdmz7m1o07eX6OJXzo0qutCB2EAhPrj7k54726DbkGDxIJUrlcjHgQhDIsKTGZvTs+Z/n89QSHBrJ5z3KqVIvM9XkBgeIiQhCE0u3KxWv0aDeE+LhEMjIyebPdy/j6+eT5+eLLkiCYQ4d1y7eyY/M+9u85yLodi6gYWSFPz/X0UuPppS7mFgplmRjx4OYsQYI0l6kWYJ5uYdCJ4EEQyqKsoQNAbHQ8PdoNyfPIB0EQhNIqa+gAsGjmKj7d81W+Rz4IQnmWNXQAuHHtFn06jczXyAdBKAwRPLg5ozb3pTQtzCMexFQLQShrsocOFiJ8EATB3WUPHSxE+CAIeZc9dLAQ4YPgSiJ4cHMGjQakUvNPLiRyBUYx4kEQyhRHoYOFCB8EQXBXjkIHCxE+CELuHIUOFiJ8EFxFBA9uzqjVIJUrcqyva49UJsek12MyGl3QMkEQipvBYOB/vx1zGDpYxEbH0/vdEcTFxOe7IrwgCEJJSIhPolfH4Q5DB4tFM1fx55HjJCYkuaZhguAmYqLiiI9L4Mv93zsMHSxuXLvFkF4TSMilvwlCYYjgwc0Z7gUPeSGRm2uJilEPglA2yGQyHm72IC2eedTpfnKFnPfnjWHmxMUc/vmoCB8EQSj11J4ezFg0HplM5nS/Z55/HJlczrK5a4mLTXBR6wShdIuOimXc0BnMnbqcZ1u1oGGjuk73V6s9mDZ/LD5+3i5qoVAeieDBzRm1GmugkBtLQCGCB0EoO0JCg5i+YKzD8EGukLNi01x2b9vPD9/8ysj+U0X4IAhCqefhoeLhZg+ycss8h+HDM88/zlsdX2NEv8ns2/WlCB8EAXPoMH7oTP48cpyvDxxi2bx1zF8x1WH4oFZ7sHH3MurUr4k8j98pBKEgRPDgxkwmE0adNtelNC3uj3jQFWezBEFwMUfhQ9bQ4cdvfwPM5w0RPgiC4A6chQ9ZQwe9Tg/A/r0HRfgglGtZQwcLZ+GDCB0EVxLBgxsz6XVgMuV9qsW9IpRixIMglD3Zwwd7oYOFCB8EQXAX9sIHe6GDhQgfhPLKXuhgYS98EKGD4GoieHBjBq05QJDkccQDmKdbiOBBEMomS/jwdMvHHYYOFpbw4X+//klKSlq+XkeTWXzL8mo04vwkCOWVo3OLBIk1fGjZ+kmHoYOFCB+Esia3z0Z7ocMjzRvbjHDIGj40a964VIcOGo0WoyiGX+aI4MGNGbXmD2hpPk4YErkco1Zc2AtCWRUSGsSUuaMwGowOQwcLhVKBf6A/e7btz/MF+qULV/n1x/+Rnlb0IyViY+LZvnEvMdFxRX5sQRBKt8SEZD7d/RV3bkXZbL97J5pd2z4lIz2DKlUr0mdIV/4+etJh6GBx/K9/0YuppUIZEBcTz45NHxMdFetwn4z0TC6dv2L9c/Mnm/LOu6/Rs38nHmpS37r9+F//IpVKmb/q/dIbOmRq+OvIcc6dvijChzJGBA9uzKjTIpHKkEidV3zOSiqTixEPglDGhYQG0ahpA6bNH+NwH6VKybrti1i1eBPL5q1j3rTluYYPly5cpUfbIYzsP5VffjhcpOFDbEw886YtZ9m8dUwYPkuED4JQjiQmJLNj08fMnrKUvp1HWsOHu3eiGdprIotmrmL1ks0c+e0Y7V/pTcXICnTt3c7h8apUq8Ta7YsIqxDqqrcgCMUiLiaeBTNWsnTuWiYMn+UwfKhSrRKb9iwnMMif5k825Y22LzNxxGzGD51B9z4deahJfcIqhLBx1zIqVAwjMNC/1IYOR48cZ1DP8fRsP1SED2WMCB7cWH5WtLCQyOWiuKQglAPePl60evkZu+GDNXRYsomjh83DMr/+/JDT8MESOiQmJGEymRg7ZEaRhQ+W0OGbAz8C8Mdvx0T4IAjlhCV0WLv8QwCuXr5B384juXHtFpNGzOHMf+cB2LV1Pyf/PsXYqYOZNWkJkVUq2g0fLKFDRKVwl74PQShqltDhq8++B+Do7387DR+q16zC1k9W8Wb7V5g4cjZ6nZ7MTA3jh86gZ/932fLxCipXrejKt5AvltBhyHsTMBgMpKWmi/ChjBHBgxszaLV5LixpIZXLMRn0mEQHFoQyz174YC90sHAUPmQNHSyKKnzIHjpYiPBBEMq+7KGDxdXLNxjYfSw9+nbAP8DPuv2zvQc5e/qiw/BBhA5CWZE9dLBwFj5otVru3olmwvBZNlORMjM1jB00nbiYePR651OUSkr20MFChA9liwge3JhRq0GiyOeIB5lYUlMQypOs4YOz0MEie/hgL3SwKGz44Ch0sBDhgyCUXY5CB4url28wb9oHzFk6MU/hgwgdhLLCUehgYS980Gq1nDh2in5dRtmtf5KZqaFXh2Gc/vd8qQsfHIUOFiJ8KDtE8OCmTCYTRl3+RzxYpmYY9aLOgyCUF5bw4eOvN7Jj08cOQweLrz8/xPoV24iNjqNnO/uhg4UlfDh7+kK+2pSSnMr6Fdschg4Wf/x2jLlTlzltgyAI7kWr1fLdwZ8chg4WVy/fYPGcNSxYOdVm+2d7DxIfl0CnHm8za9ISHm72EJt2Lxehg+D2UlPS2Lj6I4ehg8XR3/9mzpRlJMabPxtv34xyGDpYWMKHmKiChfnxcYnFciPg6uUbDkMHC0v4EBcTX+SvL7iOCB7clEmvB5MJSQGmWoAY8SAI5Y23jxdVqkXSb3h3fP18nO4bFh7Cu93fwtPLk9FTBuV67JYvPUWVqpXy1R4fX2869XibsPAQp/v5+vnQf1gP/Px983V8QRBKL6VSyZPPPkbd+rWc7qdQKugzuCvrV2yz2V6lWiUaP/IgX332PY890ZSGjeoSEhZUnE0WBJfw9vGiQ9c3CauQ+2fjgBE98Aswfzb6+fvSsdubuR6/9+AueHqp892u+LhEVi3exJhB05yurlEQIWHBtGn7Yq77DR7dC5VaVaSvLbhWsQcPiYmJbN68mZ49e9KyZUuaN2/O66+/ztSpUzl8+HBxv3yZZdTlfylNACRSkEjFyhaCUA5JJBJq1q7G5r3LHYYPYeEhbNy9lMpVK+HppebZVk8we+lEh8d8/uWnmTh9GEEhgfluT+Wqldi4e6nD8MHXz4ctez+gRu2qSCSSfB9fEITSK7xCKMs2znYYPiiUCmYvmcjeHZ/ZjNKqUq0SY98fwsThs3igXi1mLZlASKgIHYSyo3LVimzctcxh+ODr58PmvcupWbua9bMxINCPXgO70KVXW4fHHTy6F+06t8l3kG8JHfZs/4xjf5xk7ODpRRo+BAb5M2RMH97q8IrDfcZNG8Krb72Ar6/zGydC6VZswcPt27fp1asXFSpUYObMmWRkZNCoUSNatmxJpUqV+PHHH2nVqhX16tVj9+7dxdWMMsuoNQcH+Z5qIZEgFStbCEK5JZFIrHOhs4cPYeEhrN62gIqRFazbvLw9HYYPhQkdLByFDyJ0EISyz1H4oFAqWLFpLp/tPShCB6FcchQ+2AsdLJyFD0UROli4OnwQoUPZUWzBQ+PGjQkMDOTYsWNcunSJnTt3smjRImbOnMmqVav45ZdfiI2NZfLkySxdupSFCxcWV1PKJINWax69IM3/r1Aik2MSIx4EoVzSarWc/PsUU0bPZc6ySdbwISw8hPfnj2Fk/ymcO33RZq6lvfChKEIHi+zhgwgdBKH8CK8QyrINs6lzL3ywjHT44eufadvpddRqD0CEDkL5kz18cBY6WNgLH4oydLBwVfggQoeyRWIymUzFceC4uDiCgvL+gZDf/QsqOTkZPz8/kpKS8PV13znDabeuoUtJxqtSlXw/NyP6DiajEb+adYuhZYJQcGWlf5ZWltChb2dzAarqtaowcuIAls5dy4gJ/Zk2bgF3b0fj6aVm0+5lPFCvJjKZzPr8tNR0fvzuN3789ncmTB9aJKFDVtev3mR438nMWz5FhA6lkOifQnHQ6/VcOHuZuJgEVi/dTNfe7a3TKxo2qkuvgZ1ZvXQL46cPJSkxmV1bPmXG4vEidMhC9M2y7frVWwzvO4m5yyc7DR2ySohPYsPKbfgH+BV56JBVk0cfYt4HUwgNC87X8XN77eXz11G7bg0ROpQxxRY8lFZl5eSccuUCRoMez/CK+X6uJj4GfVoa/nUfLIaWCULBlZX+WVolJiSxZtmHfLR5n3Vb9VpVGPf+EKaMnsfd29HW7cPG9aVtp9fx8fW2OUZaajqaTA2BwQHF0saEuET8A/1E6FAKif4pFIfkpBR2bf2ULWt3MWfpJLZt3GMzvaJho7oMGNGTCcNmMmRsX558phmhuRSlLW9E3yz7CvLZmBCfiFQqLVBx5rt3oun29iDu3Ipyup+nl5rtn66m5gPV8v0azsTFJqBQyHMthi24F5cFD7dv3+a3334jOjo6xxqsQ4YMyfNxqlatyrVr13JsHzBgACtXrsz1+WXl5Jx47j9kKhUewWH5fq42KQFNXCwBDR8WF/dCqVJW+mdpFh+XyMpFG9m743OH+wwY0YOO3d4SK0kINkT/FIpLUmIy2zbsZd0HWx3u06Hbm/Qf1p2AQH/XNcxNiL4pFIcb127Rq+Nwh+GDo9GRguBIPpdEKJgtW7bQt29flEolQUFBNl92JRJJvoKHP//802bu8X///UerVq1o29ZxFdeyxmQyYdRpUXh5576zHRK5HDBhMujzvRynIAjuLTDIn4Ej3wOwGz7YCx0yktLQpmU4PKbSS43az6voGysIQrHLrX9D8fdxP39f65x0e+GDCB0Ed+aun6GRVSqyYecSu+GDCB2EgnBJ8DB58mSmTJnC+PHjkRagGGJWISG2w+vmzp1LjRo1ePrppwt1XHdiMhjAaCxwaCCVmX/tRp0u36tiCILg/hyFD45GOmjTMvhm+naHx2s9pXOpvGgSBCF3ufVvcE0fdxQ+iNBBcHfu/BlqL3wQoYNQUMW2qkVW6enpdOjQodChQ3ZarZbt27fTs2fPcjVlwKizLKVZsNzIElgYxcoWglBuWcKHtp1eB8T0CkEQSp4lfOgzuCsgQgdBKA0s4UOFimEidBAKxSUjHt577z327t3LuHHjivS4+/fvJzExke7duzvcR6PRoNForH9OTk4u0jaUBKPW/H4KOuJBcu9EYdTpiqxNglAQZbF/uhNL+PBMqxY82LieTeiQlJiMTqsjOFvl+GqtGuNXJZR/t/6AQat3dZMFFxL9U8hNbEw8KpUyRxFai4z0TDIyMgkM8nd8jOg4FEqF9fxjCR8ealKfBg/VEaGDHaJvCq4WWaUiG3cvxWgwUjGyQp5DB51OR0pyGj6+XigUYpR1eeeSEQ9z5szh559/5plnnmHw4MGMGDHC5qegNm7cyEsvvURERITT1/bz87P+REZGFvj1SgujTgsSiTVAyC+JRIJEJhcjHoQSVxb7p7sJDPLniWcezRE6/P7TUbq+PYirl68jlZs/Kqq1asyfly8wY9YH1O/0LDKlS7JroYSI/ik4c/dONAO6jeHAJ9+Qkpya4/GM9Ez+99tfvPt6X25cu2X3GFF3YxjRbzJ7d3xOUuL9L89+/r488cyjInRwQPRNwdUS45PYvXU/c6YsIz4uMU/P0el0nP73PO+82IPT/55HJ254lnsuWdVi5syZTJkyhQceeICwsLAcxSUPHTqU72Neu3aN6tWr88knn9CmTRuH+9lLhSMjI9268m/a7evokhLxiqxa8GPcuo7c0xvvQhxDEAqrLPZPd5aRlEZqWjp/Hj3B+GGzMJlMVIwMZ9WHC1BL5Xz++XesWLwJgIcers/EcQM5teNHnh/XAb+IolvDWygdRP8sH5Jux9qdf96s+wvIFOZw0SvYD5ni3s0OiYRUnYbh/aZw9tQFAMZNG8Jrb7W2jnywhA7D+07GaDQSHhHKxl1LiaxyfwnwqLsxjB4wlRPHTgEwZExv2nZ6XUz3ygPRN92Loz4G5n7mWyHofv/KpjQUnkyMT2Lj6h18uG43AC2eeZTpC8YSkm1EZFaW0KFv55Gkp2Wg9lSzbsci6jWsLUY+lGMuuV21aNEiNm3a5HRKRH5t3ryZ0NBQXnnlFaf7qVQqVCpVkb1uaWDUau+tTFFwUjHiQSgFymL/dGepaekcPXqCCfdCB4BbN+4yoNtoVm6ez7cHf7bue/LvU8yau5KJ4wZC+SmxU66I/lm+yRRyjqz/ymabwkNJvU7PMGnyQs6duWTdPnfqcgBee6s1crncJnQAuHs7mvc6DLOGD9lDB4Dl89cDiPAhD0TfLDtkCjnfz9np8PGSLjyZPXQA+P2nP5gyep7D8CF76ACQkZ5Bn04jRfhQzrlkqoVKpaJFixZFdjyj0cjmzZvp1q0b8kJ+AXdHRq2m0KtRSOQieBAE4b6kxGT+zBY6WNy6cZeBPcYwd9kkatetYd1uCR/S9WL4pCCUdY5CB4u5U5fz+b5vuHDusk3oYGEJH65cus7syUtsQgeL5fPX55h2IQhCybAXOlhYwoeY6Dib7fZCBwtL+CCmXZRfLplqMWfOHO7cucPy5cuL5HjffvstrVu35ty5c9SuXTtfz01OTsbPz8+th6MlnDqOwtcfVYDjIU650STGo0tMIKBB4yJsmSAUTlnon+4oISGJIz//yfhhM3OEDlmZp13MZ9PqnXy296B1e6OmDVi48n1Cw0McPldwf6J/lk0ZSWlos31BADDoDNY7sbmFDlkNGN6DlJQ0tm3YY/fx8IhQps4dzftj5hN1N8buPkPG9KZ9lzccFq0UbIm+Wbo56mNg28/saT2lc4lMZXQWOmSVddqFvdBBIpHwwivP8O2XP1mvL8S0i/LLJcMFjh49yqFDh/jiiy+oX79+jn9kn3zySb6O98ILLzi9OC7LjAY9JoMBaSE7qlQmx2Q0YDIakEjFcjiCUF7FxcaTmaHho62f5Hpe1esNaDK1PP/iUyTEJfLLoSMA/HfyLFF3Y0TwIAhuSO3nZXcod9LtWOv/+0YEEZOYxIVzV3I93leffc/UuaMdBg93b0dz/epNHmrSgG+//NHuPkEhgRz69jeeeOZRgoID8vhOBKF0ctTHwLaflSYajYYv93+X637H/neChPhEQkKDSIxP4uBn39uEDpNmjUCv19Ps8YeZOXExJpOJjPQMvtr/PRUqhhEaJupDlScumWrh7+/PW2+9xdNPP01wcLBNJV4/Pz9XNKHMMGrN0yOKYqqF+XhiqJMglFdxsfHMnbqcd1/vy8yF43mwcT2H+4ZVCGHZhtkM6TWBYX0m0fq153jquebIFXJWb13AA/VqurDlgiC4UtzlO+jPR7Fg6SSkUseXjlWrRzJlziiG953scJ/x04Zy9fINh6HDtAVjOXXyDJNHzmHB9BXExSYUuv2CIORPWIVQNu9ZTnBooMN9PDxUrN+5hOo1qwAQEhZMj34debPdy9bQ4c8jx5kzZRlHD//NpFkjkEgkvNH2JXr07yhCh3LIJVMtShN3H46mTU4k9epFvCpXR1qI+hZGnZa0G1fxqV4bhbf7/T0IZZO798+S5GwoJ+SsjG0JHb75wnzxHxDox4f7VjJpxGz+OX7a5rmW0GFY74ncvR0NgEwmY/rCcVSrEUntujVQKpXF8K6E0kT0z7Iv63nEoDOQFptku4NSxtnLVxk9bGaOGg5Vq0eyZttCFEoFYwZN49gfJ3Mcf8jo3nh4elC1eiWG9JqIXqe3edwSOuzZ/rl128ttnmf0lEFi5IMTom+WbrlNtUi+E8fRLd/afbykplpYXLtygx7thhAbHW+z3RI61H/wgRz19qLuRHPx3BU++/hrvj5wf+XC1q8+S5u2L1HzgWqEVwh1SfuF0sUlUy2uXLmCXq+nVq1aNtsvXLiAQqGgatWqrmhGmWDUakAiQSIr3PQIiezeiAdR3EUQygRtWobD5brAtjJ29tABICE+iW5vD8wRPoRVCGH5htkMzRI6ABgMBqaMmsvKLXMxGstVfi0IZVZu55HmvV9GcTOFBUsn2YQPltAholI4APM+mMLYwdNtwocho3sTFRXD7q37afHMoyzfMMsmfLAXOoB56gYgwgfBbeWlX5VWUomU2YsnMmHELGv44OGhYs6ySSiUCkx2Pv8VSgXffPmjTegA8M0XP6LyUDGiYT+XtF0ofVwy1aJ79+4cPnw4x/Y//vijSJfYLA8M91a0kEgKt36dRCpFIpWJlS0EoZyxFzpYWMKHmYsn8GDjeg5DBwuDwcDA7uP4++g/ZGZqcjwuCELZ4hXsR+M3n6DJIw+xfMMspFJpjtABIDQsmBkLx9GoaQPANnQAc0X8HZs/YfmGWcgVcoehg8VXn30vpl0IZZZXsB+tp3S2+6P0UpdYu65cvEaXtwYwbfwCZiwcT3BoIB4eKmYvm8SH63fT9a2B/HvyDLos07bj4xJYOncd+/cctHvMzz/+mqVz1hIfJ/pyeeSS4OH48eN2l9N87LHHOHHihCuaUGYYtVprfYbCEktqCkLpkpaaTlxsfO47FlBCQhJL566zCR3qP1iHHZ+toWr1SPM+98KH2UsnsXnPcoehg4XBYGBQj3HcunGHqDuO9xMEwf3JFDL8IoIJjAim2eNNWLt9oTV0SIhLRHuvDlVsTDwDu4+la+/2zFw03iZ0kEgkjJkyiCeffYxPdh/ki5924OXl6TB0sPjqs+/5YMF6EhOSnO4nCO7G0q/s/TgqSpkXcbEJJMQnFui5UXdj6NFuCPFxidy6cZeZExexbP1sVm6Zx/aNeznx139oNVr6dBrJlUvXAfOy3Os+2Mb+PV9Zj1OrTnU++nwttepUt27bv/cg65ZvJTYm3uE1T2xMPIkJYlndssYlwYNEIiElJSXH9qSkJAwGgyuaUGYY7414KAoSmdxarFIQhJKVlprOD9/8wpD3JhB1x/4Sc4Xl4+NF+85tUKs9AHPo0GdwF0YPfJ+xUwdbw4cWTz/KlUvX+efv07zb/S2nx5RIJMxZNoltG/awYtEm7orwQRDKBQ+1iqaPNSKiUjg3rt2my1sDOHHsFFqtFqVKQbsubzBh6EwOfv6DTegwbtoQzvx3gdP/nmXY2D5MGjmbu7ej6DWws9PXU3uqade5jVhiUxDyIC42gaVz17B+xfYChQ8qlYq3O75m/XObti/z+89H+f7rX3jn3deQy81Tvh9/6hECg8xToHx8vXmz3ct4+5jDklp1qjNsXF9GDZjK0LF9rOGDt48Xbdq+xD/HzzCk18Qcy+rGxcQze/JSPtqyT4QPZYxLiku+9tprqNVqdu7ciexebQKDwUD79u1JS0vj4EH7w3GKgzsX4DGZTCScOo7SPxCVv+Mqs3mVGROFUafFr3b9ImidIBSeO/fPwrCEDpNGzAGgYaO6LF4zg7AKeV+eMul2bK41HvwigtHr9Zz59zwLZ62ie58OjBs6k4z0DPwD/JizdCJ/HP6bxk0bMrzvZIxGI8PG9UUilbBk9pocx5RIJMxfMZUjv/7JJ7u+BKDNOy8ycNR7onBUGVRe+6e7y63wrFylRK8x34SwW1AS8A7xJzUmEa9gP2SK+zWmJFIpCWlp9Okykju3opAr5KzZtpBGTeqTmanhwL5vmff+cvO+90KH/06c5Zsvf2TO0ons/PAT/vqfuQ7EqEkDSExIZsPKnOcxtaeazXuW8UC9mtbrSOE+0TdLt4QbMXw3a4fdx5p1fwHfCkE2/Sqr7IWhIfc+rZWYWL5oA5/t/RqAzu+1pfegzgQE+uer3YkJyWzbsAeFUkFyUgrbN+4F4MnnHuOl11vy/de/MGnGCJuVL4xGIxfOXmbGxEX0HdKNcUNmkJKcio+vN3OWTWLdB1uZOGM4d27HMKz3BAAaNq7H4jXTCQsPIS4mnlmTl/L9wZ8B6DesO+92fxv/APHvuixwSfBw+vRpnnrqKfz9/XnyyScB+PXXX0lOTubQoUM0aNCguJtg5c4nZ6NeT+LpE3iEVkDh7VPo42kS4tAlJxFQv1HhGycIRcCd+2dBZQ8dLPIbPuQ1eABIik7g8rWb9Os6moz0+xcv/gF+rNm2gPHDZnHl4jXr9mHj+iIBlsxda91mL3SwEOFD2VQe+2dZkNu54fnxHfl+zk6nx3hudDsOLdhjs03t70XNdx5n2JBp3LkVZd1uL3yYP+2DHKHDR5v3cezoPzbHtBc+iNAhd6Jvlm7x16Ic9rHmvV/myPqv7D4G9le1cNSnJRIJdd5pwe4vv+Xzfd/YPFbQ8CH6biw7t+xj4+qPbLY/3fJxJswYRoWKYTmeYzAYOHf6Ir3fHUFKcqp1u4+vN+t2LCIlOY0+nUbYPKdR0wbMXT6ZhTNWWUMHCxE+lB0umWpRr149/vnnH9q1a0d0dDQpKSl07dqVs2fPujR0cHdGrbl4m1RRNFMtpHI5JoMeU7YlsQRBcA1HoQPAvyfOMKLf5CKfdmEwGLh+606O0AEgMSGJfl1GM2byQOu0C4Clc9diAoZPMFeidhY6AHz28desXLhRTLsQhDLKUegAoNfp6ddlFCeOncLDQ8Vrb7/Ahx+vyDV0AFg4cxX+Ab7WaRdqTzWbdi8VoYMg5MISOny0/2CO0AFg+8a9+Z52kZSYzL6dX+QIHQB+/uEw86evIC7GtkaDyWTi0vmrOUIHgJTkVPp0GolWq7Wp+SCXy2jbqQ1zpizLEToArFm6RUy7KCNcspwmQEREBLNnz3bVy5VJ1uChqGo83DuOUadFpvIokmMKgpA3zkIHC0v4kJeRD0ovNa2nOJ4jrfRSYzAYOHvqAr3eHZEjdLBITEhi/LBZzFk6kXnTPuDq5RuAOXwYNq4vIyb0o0LFcIehg8VnH5uHeIqRD4Lg/qTy+1/6nYUOFpbwYc22hdSsVZUvPv0219DBYuHMVYyaNID+w7tTt35tNJla9Dq9CB4Et6VQKx0uman2L3zNkqyhw5eff+9wP8tUibyMfEhKTOajzZ+weulmh/v88PUvAEyaOZygkEBMJhMXzl6mR7shOUIHi5TkVMYPncmcZZNYNm8dVy5eY9qCcXxz4BC/HDri8LXWLN0CIEY+uLliG/Fw/fr1fO1/69atYmpJ2WHQakAqNf8UAanMnDuJlS0EwfU0Gg1rl23Ndb//Tp7l0oUruRbiVft5OayKbamMnZycyo7NnzgMHSwSE5L49cc/aPXKMzbbl85dS5NHH+KBejVzrM9tz3cHfyYzQyyzKQhlSVCdSP7861+HoYOFXqdn3Qdb0Wi0fPHpt9SsXQ2lUsmJY6dyfY1tG/bydofX2LT6IxbOXElaanpRNV8QXM6oN3Bk/Vd2fzIS7X9Bzw+1vzeKIG9++PbXXPf9bO9BMtIzc90vM1PDrq2f5LrfL4eOWJe5TU5K4eOdBxyGDhYpyal8f/AXXm7zPJUqRxASGsiR3/7K9bV2ffgpGo24pnBnxRY8PPLII/Tt25c///zT4T5JSUmsX7+eBg0asG/fvuJqSplh1GqRyhVIJJIiOZ5lWU4RPAiC6wUGBbBuxyIiq1R0uI9EImHeB1No1KRhkdztCwjwY+SEfrRs/aTT/V57qzWVq1Vi/QfbbLaPmzqYqtUrUzEynLXbF+HpZH1xTy8167YvomJkeKHbLQhC6XHzf2epG1KBvgOcr0LxcLMHmb14IqHhwWzes5yrl6+zb9cXTJ072un5LCw8hJVb5jG832Q0Gi1L1s4kMDigqN+GIJQZ6Qkp3Pj6OCvXzcLDQ+VwPx9fbzbvWUZ4RO6jEMPCQ9i8ZzkBgX4O91EoFazdvpCqNcxTM/38fek3pBuvvd3a6bFbvfw0jZrU54MFG7h6+QYbV+1g9pKJKJSOR3T7B/ixee9ywsLzXnRbKH2KbarF6dOnmTVrFq1atcLDw4MmTZoQERGBh4cHCQkJnD59mlOnTvHwww8zf/58Xn7Z/hAk4T6DNrPIplmAuRq1RCoTS2oKQgmpGFmBdTsW0afTSG5csx31ZQkdnnquudMv+M7Yq3wtB8ZOHoTRYODH7w/neE6bd16kbsMHmDt1mc32kWP78vzzT1iXsqvXsDZrty+ib+eRpGd7DUvoULdhbRRFVJNGEISCkcplDod5A1CAmxlXvjtOs1aNYUBn1q7KWeTu4WYPMv+DqYSGm4vi1a5bg817ltOj3RAAps4dzbRxC3KM5LKEDtPGL0Sv07N8w+x8re4jCCXF2UoTEpnjPlgUUy0AEq6aRyCtXDeLgX0mkplpOzLAEjrUfKA60jyOnK5eq6q13ybE2652YwkdHmxcD6VSad0eGBzAyAn9AThgp9bEK2+24slnH2PCsFkY79WY++P3vwH4YOMcBr83Hp1WZ/McS+hQo1bVPLVbKL2KLXgICgpi8eLFzJo1iy+//JLffvuNa9eukZGRQXBwMJ06daJ169aiuGQ+GLUaZGqv3HfMB4lcLkY8CEIJshc+FEXoAKBNy7Bb+fq50e3o0609gE340K7T63Tp8Q5jhs6w2X/k2L7U9g9Fbrr/BUWhUNgNH0ToIAiliy5D67RqfstxHQp0XEfhQ/bQAUAmk+UaPojQQXBnjj5vwfyZ66gPOg0F88kSPmz4aDG93h1hDR8KEjpY2AsfHIUOFo7Ch9feeoEREweQmZFJRKVwbl6/DZivedp2ep0HH67Luu2L6NN5pDV8EKFD2eKS5TRLE3ddcshkMpHw7zFUwaEoff2L7LgZd2+DVIpv9dpFdkxBKCh37Z9F4daNO/TpNJKb128XSegAjpfcajWxE6nRCUj9PVkwbzWHvvmNdp1ep3f/zsj1RjIlRkYMnMqZ/y4wbupgnn/+CeQmCSpvNV5Btr8XnU7H6X/P07fzSAAROpRh5bl/urOEGzF8N2uHw8dfnNqVpNuxObZ7BfshU5inRMhVSvQa+zcptCYDn+z7hpWLNtoNHbIyGAycP3OJHu2G8MQzj/HyG88zst8UgkMCWb1tAVPHzBehQwGIvlnynC1b++yotvy4cK/dx5p1fwHfCkHWvpad0kuN2s/2pqOz0RUAci81l69c5732Q1EoFQUOHbK6fOEqPdoNITU13WnokFV8bAKLZq/mwL5vrKFD0L1pU7du3KH3uyO4deMOC1ZO5YlnH8PTU41Oq+Of46fp03kkXl6eInQoY0Tw4CYMGg1J5/5FHV4RuWfRjXrIjI3GoMnE/wEx8kQoee7aP4vKrRt3uHDuCs2aNy506ACOL4Qs64ZLpFIeGfQqErUSfXwqx9abV6JQeCh5dMSb/HPyDC2ebmadXgGQmpKGRqO1XjzA/fBBAiJ0KMPKe/90V86+EMH980F2rad0xi/CfoBgERebgFrtgV6vJyE+EU8vT0JCg+zum5aaTmZmJv4Bfpw/cwmj0UjlqpU4/ue/VKoSQWh4ML/8cISHH2lIeERY/t5kOSf6Zslz1s8c9TGLvPS1/NLr9Vy/egupVELlqpXyHDpoNBqSk1Lt9uPLF66SkJBEw0Z1c4QOcbHxqNXqHNcu8bEJ/PTDYZ5u+bjNdQOYr3kunrvCI483xtPz/vN0Wh3/njiDX4CvCB3KmGIrLikULaPWXIFWWsQX9NJ7Uy3KWf4kCKVSxcgKPPF0syIJHfKi2tMNSdNpGfzeeEzeSio1NY980mVq8VIoef7Fp3KEDt999RPTxs4nNibOut0y7UKEDoJQfkRHxTJu6Az+99tfJCelMKLvFG7duINep8+xb1pqOt9//QtTRs0jIS6R2nVrUKd+LXx8vXn08YepXrMKKcmpnPrnLDdv3EErak8JQqGkJKWy68NP+OKT70hOytvKGRqNhlMnz9G300jrUtpZVa9VlYcerp8jdIiOimXs4On8+uORHDWfAoMDeP3t1jlCBzBf87R4uplN6ADmqRwPPlxPhA5lkAge3IRBa56nJSnC4pLW4xmNmHJZqk8QBNeQKwpWeicjKY2k27E2Pwad435d/dmHUNepQJ/OI7l66Tp9Oo8k9Mk61vABk8mmLZbQYeqY+fz0/WGmj1uYI3wQoYMglB1Gg+MbEtFRsUwYPosLZy6hUinp12UUF85dplfH4fz3z1mb8MESOkweOYdff/wfU8eYwwfLyhYqtYo7t6MY1H0c2zbspU+nkRz/6z8RPgjlhkFnyPH5bfnJSErL9/ES4hJZvXQLu7buZ90HW9m+cS+JCclOn2MJHfp1GcXF81fo33W03fBBLre9RomOimX80JkcPXycMYPshw/Zn2PzmINrHmfPEdyXCB7chFGjQaoouqU0LaRiSU1BKBMsha2y/qTFJtnd1yPQ2xo6WNbbjo2Ozxk+3JM1dLCwFz4IglB2mO5VnM/OEjpcPHuZWYsnMGfqMq5fNRfG1Wq0NuFD1tDB4tcf/2DqmHnERpvPHZbQ4cK5ywDodXr6dx0twgeh3EiLTcrx+W35cVbLwZ77ocOn1m25hQ9ZQwdLQcpbN+44DB8sLKHDn0eOA+Z6dI7CB0EAETy4DYM2E4nceRGXgrCMoDBqNbnsKQhCWVD92YeITk62CR0ssoYPMg/z+cZe6GAhwgdBKF+chQ4WlvDh3xNn+OuPkzahg4UlfLh18w7Dek+yhg4WInwQhPyzFzpYOAof7IUOFs7Ch+yhg4UIHwRnXFZc8sKFC/z4449ER0db1221mDJliiuaALhvAZ7Ec/8hU6nwCC7agksmk4nUqxfxrFCpwMc26PRcOHSCO6euovBQUuXROlR6uFaRj84Qyj537Z+lQdbCVlWb1+X2v1do9M5TyO4NY/QK9kPureTGrSj6dMoZOmQVHBrIuu2LqVQ5goOff28TOvj5+xJWIYTzZy5Ztz3z/ONMmTuK4BD7ReWEskH0T/dkrwK+UW/EcG86hEypIDU6Icfz/CND8Am9Py87L6FDVkqVkrnLJrFj08ccO/oPPr7eRFQK59zpizRu2hCJFJRKFW91eIWJI2Zbl8/LSq6Qs3rrAho3bZBrBf3yTPTNkudspQmpXIYuQ4tEKkUqs702NugMJN+J4+iWb+0+N6+FJ+2FDpFVKqLVaom6E2Pd1mdwVzq/1xb/AF+noUNWFSMrsHrrAqpWjwTshw51G9Tm+tWbpKWmA+YlMuevmMKTzxZ+hS6h7HDJBJr169fTv39/goODCQ8Pt/lCKpFIXBo8uCOTyYRRq0Hh7VPkx5ZIJEjlCmsNifzSZWr5eek+Em7EEFQtnLS4ZI6s/4qIh2rwWM8XkavEnG9BKA5Go5HzZy7h7eNFpcoR1u01WjfBGOZN4xZ1Ob7mK7Sp5sK0rad0Jl2jY+OqHU5DBzCPfPh095e82f4V/jlxxrrdz9+XOcsmYdAb2LT6I47/9S8AP/9whBvXbovgQRBKIbWfV47l+JJux/Ld7D1On9d6Smfr/xuNRi6eu8LR3/+mbafX+ffEGaehA5hHPmzdsIduvTtw4dwV5iybhNFg5Mhvf9Gm7YtggmXz1lmL0548dirHMfQ6PYtmrmLNtgUEBongQSi97PWzvEi6HeswdMiPxMRkPtn9pfXP1WtVYdSkgUiAGRMXc/vmXQC2bdzLm+1f5sqla1SICGPFoo1OQwcwj3z45sAhXnvnRZITk0lPz7AJHZo/2ZSO3d5CIpEwbugM0lLTMZlMLJq1mkZNGnLy7/+o26A2/gF+hX6fgntzyVSLmTNnMmvWLO7evcuJEyc4fvy49efvv/92RRPcmlGnBZOpyFe0sJDI5RgLMJTRZDJxdMs3JN+Jp3G7p2nwWnPzf19vTtTpa/y26nMMelG0UhCKmtFo5Nzpi/RoN4ReHYdz8/ptJFIJNVo3IdlLQp/OI5kwcjaN+72M0tvD+rzwiFBGThzAoy2aOD3+q2+9QNPHGtH2pfd49PGHefvd16yhw4IZKxk1YCpdercz37WUSFi8ZjoP1KtZ3G9bEIQSIpVKefDh+sxaMoG9Oz5HoVTQvssbTp9T/8E69BnclbnvL2fOskksnrWakQOm0vLFJ1m1ZDP9uoxi+Ph+XL18zW7oAFCzdjWWbZhFYFDOiviCINxXKbIC67YvQqlSWkOH8UNnMmX0PCbPHklEpXDUnmo27lrClUvX6fb2IBZMX8H0BeNo8FAdp8du3/VNXn6zFT3bDaFHuyF4eKhYtmE2YA4d3mj7MiP6T2Hl4k3MXTYZL29PwiqEsGn3cnZt/ZS+nUfx4brdJCbYrzsllB8umWrh6+vLiRMnqF69enG/VK7ccTiaLiWZlCvn8YqsilRR9Il/ZkwURp0Wv9r18/W8m39f4PC6L6n/6mOE1Kpo81jizRhOfvIbVR+ryyNdWhVlc4UyzB37p6tZQoee7YdahzRGVApn8+5lnD19kRH9pmC4t0pNw0Z1mbt8MtLEDNT+PsgU5iryqQYd749dwB+/H8tx/FffeoFWLz3N8L6TMRqNSCQS5n0whUqVKzBxxByuXLwGgEqlZM7yyfj4eFLngZr4Bfu75i9AKDGif7oPR8O+jQYTJqMRuYeSr6d+6PQY9oZ4p6am8+O3vzJx+GyGju3D3dvR7N62P8dz6zaozdAxvfEP9CcxIYkF01dw6cJVwDwFY87SiXy0eR+XL15j3Y7FLJ69miO//mVzjJq1q7Hyw3lUiCjaKaZlkeibJc/ZVAsLpZc6x6iIhBsxfDdrh8PntJrYiYDIkDy1QafVcf7sJRLikxg/dCZJieZ6DiGhQcxcNJ7A4ABiouMY0G3M/eO/9DTDJ/RnzKD3+e/k2RzHbN/1Tbr2bkfvjsOtoya8vD3ZuGsp6emZxNyNZeLI2daVbOrUr8XQsX2oWr0yH3/0ORtX3X9v7w3oRLc+7cXIh3LMJSMe2rZty7ffFn4YUXll0JqHShf1UpoWEoUi3yMejAYj/3z6G4HVwnOEDgD+lUKo/Vxjrvx+imt/5DyRCYKQf/ZCB4A277zImVMXbEIHgH9PnGHckBnovZT88sGn1irZfy7dz9Q5o3KMfMgeOoB5ZNPYwdM5e+oidbKMatBotIwfMgOpUQJiOV5BKFXsrXLzzfTtfDdrB9/P2Yk2tWBF37y9PXn2hSeZtWQCy+atIzwiNMfIh7oNajNgeA+mjl1AclIyC2estIYOYJ6CMX7YLN7t8TbVa1ahT6cRjJjQn+ZPNrXuI0IHwd046nO5rVDhaPWYvD6elVwhR6VS2YQOADHRcUy6V+R15sTFNs/57uDPLJm9mvkr3s8x8sFe6ADmJXLXLPsQrUZrEzoAnD11geXz1xEfl5CjyOXGVTvEyIdyrthGPCxfvtz6/2lpaSxevJhXXnmFhg0b5ljrfciQIcXRBLvcMRVOu30dXVIiXpFVi+X4utQUMqPv4F+/EVJZ3sp+3Dh2niPrv6LJu8/hE2Z/CKTJZOLM13+ScDWK1lO74BlQ9DUqhLLFHfunqzgKHfoP684D9Woysv9Um9Ahq4aN6jJ70QSbmg9KLxVNh7Rh2viF/PH7MbuhQ1YSiYSJM4Zz7OhJDn7+g3W7SqVk/Y7FNGhcV6y7XcaJ/uk+shabtefZUW3JTErLsd0r2M86Msre3VmLrCMfPvluC/t2fsGOTR9bQ4eZk5YwZc5IFs9abRM6ZOVo5ENMVJwIHfJJ9M2Sl1ufA/ujiFKiE0i8EePgGTmLvDpiMpm4dOEqPdoOsQkdsgoJDWL6wnHMmLDIJkiAnCMfHIUOcH96RfbQIas69WsxcERPa82HrMTIh/Kr2IKHatWq5a0BEgmXL1/Ofcci4o4n5+Qr5zEZDHiG5xxZUBQMmZmk376Ob826yD3zVhjnhwV7MGh1NHrnKaf76TK1/LntO4KrR/DEgNeLorlCGeaO/bMoZWZoSE9Ptzuf+eK5K3R5a4BNxejV2xZgNBgZ3HO8NXRQqpTMWDiOLz/9jl8OHbE+v2Gjuixc+T7/bPmepJux5n29VDwy7A0OffMrlSpHOAwdLCQSCdPmj+Xbr37ktx//sG5XqZRs3rucylUr4etnGzDGxSagVnuIqtZlQHnvn+4kty9BzXu/zJH1X+XY7qiCfmpKGlqtlsCgABLiE5FJZUjlMhLjEzl6+G8S4pOQyaRUq1GF8cNmsmTtDOZOXe4wdLBQqpQsWjWNDxZuICYqls17P8DH14uQ0PttMBgMJCemEBDkn+f3X96IvlnyCho8WJ4nkUqo83YLEq9EceevC06fY8+1Kzfo/MYAh6GDRUhoEAtWTiU1NZ2NK3dYi0QDvPDy0wyb0J+fvv2NZ194kvc6DM0ROjRsVJce/d9lzKBpDkMHC8u0i/5dR+d4rN/QbnTs9iYmsHvNEx+XiEIhx8fX2+lrCO6l2KZaXLlyJU8/rgwd3JVRoym2wpKA9djGPK5skXw3nrhLt6nQMPdwSeGhpNYzjbj9z2VunbyU6/6CUF5lZmg4evhvJo+cS0x0XI7Hff28qV3HXCdHIpEwYcYwjh7+mwoVwwiPMM//tNxB3LfzAK1fe46nnmtuff6zLzzBpQtXCX22Pn6VzBcx2jQN3jIFr739IklJKU5DB4DgkEBCwoK4fOGazfYq1SORSCTs2f6ZzUVPXGw886Yt5+cfDov1vAXBTaWmpvH9wV9YMmcNUXei2bjqI/bt/oLUlFTmTfsAH19vzp6+yMVzVxg7ZDqpKWn8e+IMTZs3yvXYlatURCqTcudWFPUaPoCHhypH6HDu9EUG9hjL7Vt3nRxJENyXRCqhXvun2Lx7P/GeUKFprXwfw9PLk/q5FIkEaPLYQ3j7eLPug23WItEWz7Z+koAAP97u+CpqTw8eeyJnIeqb12+j9lBRsVJ4rq/12BNNbIINC6VKyXMvPsU/x88wdfR8YrNd88THJbJq8SYOfv5DrqtwCe7FJcUlp0+fzqhRo/D09LTZnpGRwYIFC1y6nKa7pcImo5GE//5GFRyK0te/eF7DZCL12iXUoRVQh1bIdf//Pj/C+R/+pnmfV5DJZXk6/r/7fyczJYOX3u+KTCGGYwv2uVv/tCe/BaYyktLITMvg5KlzDOszCaPRSIunmzF11kjUMrnNvtF3YxgzaBovtXmeE8f+48tPv6N23RrM+2AKw/tOYvCoXny0eR/Hjv6DTCZj+sJxfHPgEI2aNqB23RoM6jEOL29PVq2bTfSPp0i6GWu9m5Kamsb3X/3ClNFz7bbZ0RDN2nVrMG3eGPp0HklKcip9h3SlbftXMQEL56zmmy9+BGDeB1N4uuXjYuSDGysL/bO8yHr3tVn3F3J87qr9vclINF/Qe4f4kxqTCNhOtZDKZWRqtPz2+19MHTufkZMGcPP6bXZv3Q9A36Hd0Ov0bF6zkwUrp/LtVz/zzYFD1tcYMqY3UXdjrPtnV7N2NabNH8OxP//hj9+OMWX2SCpk+TJjCR16th9KeloG1WpWYfXW+URUzP0LT3kj+mbJy23KBNifNpESnUBSSipLFq7nu69+RiKRMHvJBJo2bojMYELprcbkYBpl9ulQMdFxTB41l8M/H7W7/4ttnqNX/85MHDGbc6cvWotEb1u/h3Zd2vDM8y3w8r7/XS0+LpHl89fxya4vbY4TEOjH7CUTmfv+cq5duWn3tbr37YBSpWTd8q22bVYp2b5/NVG3oxnaeyJGo5Enn32UafPHEhwaZA0d9mz/DIBJs0bw0ustxciHMsIlwYNMJuPOnTuEhobabI+LiyM0NNThvOTi4G4nZ0NmBknnT6GuUAm52jP3JxRQ2s1rKLx98KpU1el+JpOJg1M/xDvYjzqtmzrdN6v0+BT+3PYdDV5/nLovPlLI1gpllbv1T3vyO9wy4XYsfx49yZjhM21GHDR/oilDB3SjYrUIm2GWd25FsWLhRg588o11W/0HH2DeB1OZOnoux47+Y90uk8lYuGoagcH+dHt7kHV71vDhsZ4vWo/vKHwICQ1i8doZjB08PUfo8P7c0fTtMsp6V0Imk7Fx5xJ2bNnHd1/9bHMcET64t7LQP8uLrOchR9MqLJ4b3Y5DC/bk2N5i2Bv8fuRvZr6/jJGTBnD10g327Txgs0+vgZ0xmUwOw4fh4/uREJ/IlrW7bJ5Xs3Y1hk/ox7ghM3ij3Ut06v4OEZGOQwcLET7YJ/pmyYu/FsX3c3Y63ef58R0JrGJbu+TujbvMm76CH7791bpNIpEwffZoAtOhauNaDvuvvWkYt2/eZerY+fzxm+2qVa++2Yr+w3swot8Uzp2+aN2uUilZuWUe9Ro8gLdvzunWjsKHp557jLFThzCg+5gc4cPgUb149oUn6PBaH7Sa+8Xr7YUOFk8++yiTZo1ky9pd7PzwE5vjifCh7HDJqhYmkwmJRJJj+8mTJwkMDHRFE9yWQWMuBFccy2hmJVUoMGhyn2qRfCee1OhEuytZOOMZ6EPEQzU4c/AomSnpuT9BEMqBzAwNJ0+dyxE6ABz57S+WrfqQDMP9OZTxcYmsX7HNJnRQqpT07P8uU8fYhg5gvngfNWAqN6/fsZl2kZaazoA+Ewh9tj4S2f2PAW9vL55/+SmmLxhn3RYSGsSGj5YgT8jkuZaPW7fXrluD9+eNyRE6TJs/hi3rd+cIHQDGDp4upl0Ighuo1LwOfxz/z2noALBh5XYkEgk9+nVk9MBpvPDy07R+7TkAPDxUPNi4Ht36dKBn/3etz8kaOqQkp7Jtw152bfuU6Chz7RlHoQPAlYvX6N91jJh2IZQJcbHxLJi9yiZ0APP3pikTFhDvCVJPVZ6PF3U3ho827+Odjq/R7PHG1u0vvv4c3ft2ZGT/qTahA5hXqBrYfSyXLl5Fr89ZsyEwyJ8hY/rwVodXrNsaN23AlDmjiaxakbXbF1GlWiXrY4NH96JdlzZUrR7Jhp1LUKrM31+chQ4Av/74B9PGzafxIw1RKG2nl8+cuFhMuygjijV4CAgIIDAwEIlEQu3atQkMDLT++Pn50apVK9q1a1ecTXB7Bk0mSKVIZLlPaSgMqVyRpxoPt/+5jEwhx79yaK77Zlf1UfPcs9Nf2R8CJgjliaWmg2V6hT1HfvuLaRMXERMdR3xcIisWbuDjj+5f/GetCn/sj3/sHsNgMDBl1NwcNR8s4cOt6Fib188aPoSEBrFpzzIqhIVQqW4VuvftQPc+HazTK/rem14B90OH77/+hZ+++916vKo1KtsM3RThgyAUP6WXmtZTOtN6Sme8gp1XjpdmmzJZqXkdbhrTmTl5CdMXjHUYOljYCx9ee+sFVm9dQINGdZBIoOljjWjf9Y0coYPFlrW72L5xL9F3Yx2GDhYifBBKI4k0969UWfeJi41nzpTldkN6uB8+nDh7Lk81H6LuxrBlzS62btjDhOGzaNupDc0eb2yeXjHAPL3i7KkLdp+r0Wjp1WEYp/45l2v40LhpAxasnEZouHmkRUSlcGv4MHh0L9p1boOfvy9yhZwGD9Zhw84lNHv8Yaehg8XhX/5i384vmLV4gggfyqhinWy/dOlSTCYTPXv2ZNq0afj53f/wUyqVVK1alebNmzs5gmDIzESqUNodMVKUJAoFRp0Wk9Ho9OR5+5/LBFQOzVNth+wUahWRTR/g0i//UPu5xniHiGV0hPIrIyODGRMW5VrQ8fefj3Lqn3NUqx6ZY6hj8yeakpKcmmOkQ3YGg4FVizcyf8X7NitdpKWms2jWKhasep+AQH/rdkv48NRzjxEYbJ6P6uFrDg969n+XDt3epOPrfW0uAOo/VAdvHy+b0KHBQ3UYOKIneoOB8UNnkppiXr5vzpRlPNqiiZhyIQjFRO3nZZ37nXQ7Ns/Pk8plVHmyIePfHsDiNdOpUDGc6eMX5vq87Rv38uG+FXz80QHmTl3OnoMb8PbxIjUljZvXbvP5vq+pXacGY98fzIh+U+x+edixeR9vdXiVXdv25xpMXrl4jS8++Y4uvdqiVnvk+f0JQnGRynK/Ts+6z9VLN/j2yx+d7m8ymZg3bQW7Pl3N3b8vYjI6nh2fmpLG7m2fAqDT6li1ZDOL10xHpVLyzRc/5hjpkJ1Go2XmxMWs3b6IQDsryFjCB4PeQEhYkM1jEZXC2bxnOQqlAj//+1N95Ao5VapVYuCIHgQG+DGo+9hcr3n++P0Ybdq+SNNHH+LIr3/ZPLZ49mqefeEJMeXCjRXriIdu3brRvXt3fvzxR/r370+3bt2sPx07dhShQx4YNBnFPs0C7k/lMOq0DvfRZmiIv3qXwKoFX1u7UuMaKDyUnPrifwU+hiCUBQGB/qzfuYTgUOfTzcZPG8rDzR4ktEIIS9fNRJolGPz5h8Ncu3yT3oO7OD1GWIUQJs0aycj+toV86zV8gFlLJtqEDhbe3l7W0CEr/0A/gkMDWbR6ms0diX/+PsVP3x9mzBRzLYkGD9Whz+CujOg/lQ8WbGDOskl4+3jh5+/Lpj3LCAgUwaMglDZGvYFTO39iy57l7Ni0jxULN7BozQzkTm42eHiomLNsMnOmLkOukLNh11KCggNJTUlj7tTldHtnMM+/+BTnz16ib+dRdkMHhVLBik1zCQ0PZsCwHtSuW8NpO9t1bsM7774mQgfBbdWpX4vZSyc63cfP35f12xdxYsv3TkMHgPAKISzbMBu5XEZklYqMmTKIXh2H816HYTzxzKO069zG6fOrVo9k2fpZdkMHi8Ag/xyhg0VwaJBN6ACQlJjMvp1f0O2dwXy272s2712e6zXPoFHv8d+JszlCB08vNZt2L3PaPqH0c0lxyeRk+2vKSiQSVCoVSmXxf7HO2hZ3KcBjMplIOHUclX8gSv/irYVh1OtIu34F76o1Ha6ecevERX5f8wWP9nzRpopuft08cZGLP/3Di1O74Bue9/el1+v5+vND/PzDYTIzNTRq0oB33n0tx4lOcF/u1D/B/goWBp0h1wJTWQtCXT5/lV6dhhMbHZ9jv1Hj+vHSa88RUskc9mVkZPLHb8dyTM/o0bcjak8PVi3ZnOMYYRVCmDZ/LO+Pnc/d29HW7fUaPsDiVdMI8PMtUH/WarWc/Os/+nUbg06rs25/o93LPPrEw3h5ejJ2yAwy0s1/P7Xr1mDYuL5EVAqjWo0qxT6KSyh67tY/y7Os5yaDzkBabJLN4wadnqNbvgXMBe8sjxv0etJ1Opav3cbhX/4E4OnnH+etDq8yst9k9HrbYuCW0OHD9bu4ce02m3Yvo1qNysTFxjN36nLrqjZSqZT5K6bw/de/8PXnh2yOYQkdHmpSH09P8yiou7ejGdRzHOfP5FyGu13nNgwY0VN8AclC9M2SV5BVLdJS0zn0zS9MHDEnx75+/r6sXDuLiuGh/DB3V47HIWdxybTUNE7/dx6dVseE4bOJj00AoELFMJZvnM2Bfd+wdX3OQrJVq0eyZttCIvKwRGZeJSUms3fH5yyfv966bfDoXrz42nN0e2eQ3WueMVMHcev6HXZs3mez3RI6PFCvJrJinnouFC+XFJf09/cnICAgx4+/vz9qtZoqVaowderUXIfflDdGnRaMRqQuCGYkMjlIJE7rPESdvYHa36tQoQNARINqqLw98jXqISYqju7vDGbC8FlcunCVuNgEVi/ZzOvPdeHPI8cL1R5BKChtWgbfTN9u85P9Aj83wX6+fLByRo67AKPG9aOWbzBK6f0PWbXag0efaJJj5MPlS9d4+vnHc4x8CKsQwtxlk/H29iQ+LtG6vW6DWkybOpT/Lf4016U/HVEqldSsVpllK6fbjHy4cukalSpVsAkdAM6fucTy+evw9PQUoYMgFLOs56bv5+zkyPqvbH6yLq+ZFpvEkfVf8cemr5GH+LJ8zVZr6ADw8/eH+WTXFzlGPuQ1dAAwGo2MGTSd5198ihdff8663V7oABAeEcqKTXNzjHwQoYNQWukytDn6WfYfXYbtqGIvb08ea9aYqTNH2Gy3hA43Dx7HZMj7dyMvby+CggNtQgcwr4Y15L0JdOj6Jt37dbR5jqtCB4APFmzg6wOH+PDjFTmueSbOHM7LbVrx2BNNba5vROhQtrgkeNiyZQsRERFMmDCB/fv3s3//fiZMmEDFihVZvXo1ffr0Yfny5cyda3/9+PLKVStagHn0iVSusL6mPdHnbuBXKaTQryWVy6j8SB1uHDtP8p2ciWd2iQlJ9Oo4jBvXbjF+2lDGTxvK8HF9mbNsEuERofTvOpr/ZVs2SBDchclg5OpnR23CB0vocOPXUzn2zx4+PP3847zb/W06vdEfvVZvDR/CKoTw/rwxjB82k+Xz17Nm6wKUKiV1G9Ri+vvDObXjZ/SZjqdW5YXUBJp/b1nDh4ea1GfE+P706TzKJnSwOHvqIkN6TeDunWg7RxMEoaRIZVLqdXya2dOWczjbEGe4Hz4sXjsTuVyGh4eKFZvn5il0sMgePjgKHSyyhw8idBDKIpkRwnQKa/iQNXRIjUrI5dm2rly6Ts/2Q21CB4s7t6J4r8Mw2nVuYw0fXBk6WNgLH8yhw/MEBvnTrMXDLFs/C6lUKkKHMsglUy1atmxJ3759c6xgsWfPHtauXcsPP/zAtm3bmDVrFmfPni3WtrjTcLSMmLtk3L2Fd9WaLrlDmHH3Nkgl+FZ/IMdjmSnpfD56HXVefITwupUL/VpGvYE/tnxDWN0qPNbzRcf7GY0M7DGOk8f+Y/y0oYRH2K6modPpWbFwA9eu3GTXF+uIrJK/ZT6F0sWd+ieYi7Z9M327zbZm3V+w3k30CvZDpsj5Yan0UltHDlmGREtkUuKSUzjx9ymeaNHEOtJB6aXGIDGhNxjwD7hfFyEjI5NTJ89iNBrp13U0ep25EnWPvh0JCPKjVp0aTBu3wDq9olnzxgwb1xeFzmgTOrw4rSsGhaxANRcsbTdK4OZd8+v0eneE3dAhqzr1a7Fi81xCw4Kd7ieULu7WP8sze+emrJ4b3Y6MRHOtBYNOT7peZx7pYCd0AHjlzVY8ULcGx47+Q9tOr+Pr50OVKhX55ac/eLBxvXuhQwJzpy6zGzpkJZVKWbTaXBW/Ru1qdkOHrO7ejuarz77jjXaviNDBAdE3S17CjRi+m7XD6T6tJnZCFeSNJkNDwL1/y5YpGhJPJf+cvUCNWlXxQY5BY57C6FcpBJPBYPd4Wa8lrl+9Sde3B9mEDr0HdSY1NZ2dWz6xbqtQMYxNu5fzw9e/8PxLTxVp6JCclMLHHx1g6dy1ue47dGwfWr38NMf//JfnWj9pUzAyIyOTPw8fJzg0UIQOZYxLRjwcPnyYxo0b59jeuHFjjhwxV1h/4oknuH79uiua4zYMmZlIlSqXDUuWKhUYHYx4iL14GwD/ikXzRUEqlxHZtDY3/jpHakyiw/0+/ugAv//0B70Gds4ROgAoFHL6DumKp5easYOn210GSBBc6eiWb7MMZ5bhFxGc4yfrdCW1nxd+EcH4hgVSrVYVXrxX08Gyr0Fq4tuvfmLr+t0kJtyfxqFWe9CgUR3CKoQQFHR/zujmtTu5eO6KTegA8FCjeigyDTahg1ewL7FJyQztPYFbN+7k+71a2h5QIZg69WsRGBxAWHju54iHHq6PQl6siyoJguBERmKq9Tx1dMu3pNyK4+EmDe3u++qbL/DQw/W5eP4qT7d8nGrVI2nwUB0CggN44eVnqFbDfDNCqVTQ7PGHc31tH19vQsNDiImKs6kP40h4RCjvdn9HhA5CqZaXVS2MMjj881E+WLjBOv3RqDdwZP1XHF62H6876Vza8zu/rfjM2j9NBoPd64js1xIeHh5UrR5p/XP/Yd3RaLQEBvnTuec71u2169RApVLQrvPrRRo6AHioVTRoVBe5wvnnu1whp0GjuoRHhPLCK8/mWKVCrfagWYvGInQog1xy5RcZGcnGjRtzTKXYuHEjkZHmThIXF0dAQM4K6uWZITPdJdMsLKQKJUadDpPRgERq29FjL93Gw9fTuqReUajQoBrX/zjL2W+P0bRTyxyPx8XEs3TuWp587jEaNqrr8DieXp707P8uc6cu56PN++jau32RtVEQXE3teb9Ke2pKKt9++RPvj10AgMkE3fq0t4588PDwoEq1SDbuXsp77YcRdddc2Orzfd/YHLN3/048VvsBTm753rrNK9iXqq834713hxMXE0+fTiNZ8+F8/NRqTEaTzZ2UvFAoFVSMrMDa7Yvo23kkVy/fsLtf+y5vMGB4D+vdHkEQ8sdeUdvsjAbng1k9/Lxo3vtl6/9LJBKqyOoiVylZOu/+3cpX33yBBx+ux5wpyzCZTHh4qGjZ+knk94LDrOcrH19vXnzNXL9hxoRFdl/Xz9+XFZvnMmnkHK5cvMbw8f14q8MruRaJ9lCrnD4uCK7iqP8ZdPZHJViEN67OseP/MXrgNEwmEyajkb6DuqI0SmjW/QWObvmWqH+uFLhdoeHBzP9gKmMGT+PRxx8mLS3dWkhy4MiedO75Djeu3Wbq3FEEh9pfmaKwlEoljZrUZ822hfTrMso6EjMruULO6q0LaNy0gXlxAQdfczw8xIo1ZZFLgoeFCxfStm1bDh48yCOPPALAX3/9xdmzZ/n4448B+PPPP2nfXnxhtDCZTBg0maiKeTWLrCwhh0GjQa62DRhiL97CN6JoT1QyuYyKjWty9chp6r/6WI4vOWuXb8VoNPJOx9dyPVbN2tV49oUnWLVkMy+3eb7YTqqC4CrZQweAjavMwzizhg8AlatWYt2ORfTpNNIaPlhYQocr394vwmoJHQYNmExcjLnOyo1rt+jXbQyLFk/i3O7feGb4WwUqJFuhYpjD8EGEDoJQeJbCkc48P76j08clEglH1n+VY3v95x5i0LAerFi6OUfoALBn+2dIpVL6D+tutx87Cx8socOU0fO4cvEaAEvmrAHIU/ggCKWBo/5nCfLsCW9cnZQAJRPuhQ4A+3Z9iV6np+1LrYpseenQ8GDmLpvMzg8/sVm9YuWiTQwb24eufdoX+/Wxs/AhR+gglDsumWrx+uuvc/bsWV566SXi4+OJj4/npZde4uzZs7z66qsA9O/fn8WLF7uiOW7h/ooWrkv57wcPttMtDDo9CTdi8KtQ9CeriAerI5FKuPDjCZvtt27cYe9Hn/PS6y3x9snbl582bV9EKpWyeumWIm+nILiSvdDBYuOqHXy4znbaBUCAhyfLVkwjLPx+Adj+Q7vnKXSwuHHtFiNHzOSB9k8gkRZ8ipclfMg67FOEDoJQ+l07dJKHKlZh4YqpOUIHi11bP2X10i0kZFkpJytL+DB59kjrNnuhg8WSOWv4ZNeXJCXaX3pdENyZNXQYMzdHX/ps3zfsPfgdEj81FMGs6qTEZD77+CCb1+Rc0nvpvHX89N3vpCSnFv6FcpE1fLBMuxChgwAuGvEAUK1aNbFqRT4YMszDuFyxlKaFRCZDIpPlqPOQcD0ak8GIb4WiH32h8FBSoWE1Lv18krovPoLCw/x+t6zdhaenmpatn8zzsby9vXjp9ZZ8svtLuvftIApNCsVO6aWm9ZTOgLluiTHbGvdKL+dF0+xxFjpY2Bv5YDQYufzJ/1i2YhpDB03l9Tdf4NWXnoV0LeG9K+AZ5IsmJYN0uZHeXUbZhA41alXl0oWrwP3wYc2H8ynM/cesIx8ebdFEhA6C4EIKtdJ6bsrKaDAP8ZZ7OL620CaloZUpmD9tBVWqVbI7bWrX1k8B8jTyYfn89Q5DBwsx8kFwdwadnua9X0bt720t3Cr1VPLfhctMGDI9R+hg8dm+b5Ar5PSb2A21QoHJaIQsu+b1OiIpMZldWz9l5aJN1m1BIYHodXprqDd78lIAXnmjVY66CkUta/gwuMc4lm+aI0IHwXXBQ2JiIkePHiU6Ohqj0XZN2q5du7qqGW7DkJkOUikSmWsLsEkVyhwjHuIu30Eql+EVXDRDwbKr1Lgmt45f5MrhU9R+rjHxcYl8uvtLXn6jFSqP/I34ePaFJ/juq5/YsHIH0+aPKZb2CoKF2s8LtZ8XGo2Gq5dvEhIaSGBQ4WrVpKdnMnvKslz327T6I155s5XNlIv0hBQuf/I/NmxZQPSZ6xxZtt/62HOj25EQl8iarXtsQoe+Q7rxSPNGfPPFj+zd8TlgDh+2rNvN8An98jziyJ4KFcPYsHMJCoVChA6C4EJGvbkgnSNJt2PtbpfKZdRs9TDvvNaLafPHEBIWxMZVO/jj979z7Ltr66e89tYLDvu2JXx4umVz+nUZ5TB0sFg+fz3Pv/SUCB4Et3R0y7eAecrFkfVfIZFKeWJsW6ZNWOgwdLDYt+tLXm/7EiGhQSiVCkIr5H/p+oT4JFYv2WL9c3hEKO/PG4PJaGTiiNnWYpbzp6/gmedbFHvwAPfDh68P78bL21OEDoJrplocOHCAypUr8+KLLzJo0CCGDh1q/Rk2bFi+j3fr1i06d+5MUFAQarWahg0b8tdf9peAcleGzAxkLlzRwkKqUGLItC2aE3flLj5hAUhlxfPPxcPHk5DalTj/w3GMRiMff3QAJBKefaFFvo+lUilp9fIzHNj3jU1Ff0EoLhqNhj+PnKDDK71ZOmct8XH5W3c7u8BAf9btWIRS5fgDWiKRsGTtDCpWqpDjsfSEFP5c+YXN9AqLc58eZmDfzjR4qA5gDh0yMzPp1XE4lSpH0LbT6wC0eOoReg/sVKjQwSI0PESEDoLgJox6A//t+plt+1bxzRc/MrDHON7u+BqPtsi5WsWMReOpVquq0+P5+HrjF+DH6CmDkcsdV6eXyWSs3DKPELHErlBGmIxG/t12iBVrZuLl7bww+/vzRuMf4Eu7l3sxasBUorPVasqL8AqhLN8wG6lUSnhEKFPnjmbq6HnMmbqMWYsnEBjkj1whZ+32hQQG+xfwXeWfUqkkINBfhA4C4KIRDyNHjqRnz57Mnj0bT8/CrYqQkJBAixYtePbZZzl48CAhISFcuHChzK2Ioc/MQKZyfRVnqUKJLjUZk8lkDT3ir94lsFrRLrmTXaXGtfh75yFuHr/I7m37eaxFE7y9C/al5+nnH+erz75n+8a9jJo8sIhbKgj3pcQnc+LEKYb0mojBYGD/3oOYgEHDeuAhleV7ZQgwz4N8sFE9a7FIrUZr87hEImHRqmk0algHbWIq2sT78zWb934Zg05vvfPSrPsLyO7Nr5TIpDzStRUSqYQFH0zl15/+4NbNO3y4bjdgHuo8fHw/Rk0aSNO6D6CWFvzjIbeq+wX5exEEwSy3FSuc7ZMWl4wm1XHflEglRDSvw/L56/nlkHm584kjZjNr8QQA68iH0ZMHcvnCVZo0bYgxNQOT8f7rZe/fKpWSh5s9yMot8xnYfQz6bFPSLKHDw80exCOfoxwFoaBc8TmVeDMGfoL12xfRu/NI0lLTc+wzadowGjVpQKc2/UlNSePEsVOM7D+V+R9MQWWU2Ey7yE7lrcYryDxCyEOtotnjD7N220L0BgPvj5lvLTY9Z+oyZi2ZiKeXmvoPPiBCAKHEuCR4uHXrFkOGDCl06AAwb948IiMj2bx5s3VbtWrVCn3c0sRkNGLUZKLwcf1wQ6lSCSYTRp0WmVJFZnI66fEpVH2sXrG+rm94AH4Vg/jr01+IiYplwPDuBT6WWu3B0y2b8/HOA/Qb1r1I7toKQnYajcYmdLD4bO9BDFo9HV9/kcr1qhbowsVR+GAJHZTXk/j+8x12n5u1srZMIbdbub7FyLdIiE+0hg4WS+asYcqskSRdiaJi9YLXSMmt6n7rKZ1F8CAIBWTKNl01P/toUjP4fs5OuxX4JVIJ9do/xfptezn03e/W7TqtziZ8eOq55lw4d4X9e77i0De/smDhRM7t+tUaaNjr347CBxE6CCXFVZ9TiTdjaKhUs3LtLAb2nWgTPkyaNoxGTRvQ+c0BpKakWbef/PsUYwZPZ+LYAZz66CcM2pzLUoJ59RpL8ADm8CG8Yhi9OgyzWeHq+tVbzJmylDXbF4nQQShRLplq0bp16yKbCvH555/TtGlT2rZtS2hoKI0bN2b9+vVFcuzSwjLVQebCFS0sLMUsLW1IuBYFgE948Y8oqdioJvrYVB6uV4fKVSsV6ljPtX4KTaaWT/fk/NIlCIVlmV6RPXSw+OKz79j5+ddkGp2v6+1M1vBBqVJap1c83Kged09cLvBxq7VqzIEvDzlc/WX6xEVc06WgM+X+5UYQhLLBUehgYQkfuvVuj1anZ/+9z9ZrV24yetQsHujwJCpv50XwsoYPcrlMhA5CuaHP1BH70xlWrp1lnXZhCR26dxhqEzpYnPz7FDPnrqT+u88gU+btPvH1qzdzhA73H7tFv84juXXjTuHejCAUgktGPLzyyiuMHj2a06dP07BhQxQKhc3jr7/+ep6PdfnyZVavXs2IESOYMGECf/75J0OGDEGpVNKtW7cc+2s0GjQajfXPycmlf7kmy5d+Vy6laSGRyUEiNbfB15/461Eo1Eo8fAs/WiU38iAv0jSZPFW38KMrAgL9aPLoQ+z68BM69XgbqdQlGZuQT+7YPzUaLcf+OMngnuPthg4WX3z2HTKlnOHj+xa44KQlfFj/0WIS4hJp/uQjNlMr7PEK9uP58R3tPlblmYb8efkCa1Zss24LqxDC0LF9mPf+B/crX09bjsrLg1avPIt3LnNThbLLHftneaBQK+2OWMi+jzOWCvwWEn81i+evsxs6WOi0Oob2mcScpZN4qEl9/vn7NCMnDeDXQ0cYPWoWCxdN4tTWQ05f1xI+rPpwPkajSYQOBST6ZsnJuppVVpYVY+ytKCOVy2ja5XmkChkbPlrCpQtXaPBQPTq/2d9u6GDxz/HTzJy7kskTBvHP5u+dFqm8ce0W77W3DR0693yHtLR0Pt1tDgqvX71F384jWffREiIqhuX3rQtCobkkeOjduzcA06dPz/GYRCJxevGendFopGnTpsyePRuAxo0b899//7FmzRq7wcOcOXOYNm1aAVteMvQZ6UgVSiQl8GVZIpEgVd5f2SL+ahTeoQEuKXL5x+9/cyE2ikbqqhgydcg8FLk/yYnnWj/B3KnLOfzLnzzxzKNF1EqhKLlj/1Qo5AQGBaD29HB6wQBQq3Y15PLCnWblCjkNH6qLTq9HrfbINXiQKWTWavbZK9dnJqRSpUolJBIJJpOJsAohvD9vDFvX72bOskmMHzqTpMRk5Ao5FStHoMzjXRahbHLH/lkeGPUGu1OosrL3xSgrSx0Yi+ovPEyVyrlPr/Ly8sTTS01SQjKTZ4/k2NGTvN3xNf49fhqjRpdjSWF7VColjR95EJPJJEKHAhJ9s+RYVrMqKN/wQKrVrEx8XCJ+/j65XkdERkagTcnIdWUMpVJJSFiQNXjo0bcjCpWCsAohvN3xNfbtPABAeMUwFE4KvQpCcXLJN1uj0ejwJz+hA0CFChWoV8/2jnjdunW5fv263f3Hjx9PUlKS9efGjZzrUZc2hox065SHkpB1ZYuEa1H4hPoX+2uagMO//InJ3zxUM/Xi3UIfs2btakRWqWhdIlAofdyxf0qlUmrXrcGm3cuc1g8ZMqIXL73yLL5+PoV+TblCjlrtUejjRJ28gk+Cltnzx1mX2np/7HyO/PoXC2euZM6ySQSFBLJ6y3zq1qlhnQuakZRG0u1Yhz8ZSc4vnAT35I79UzAz6Az56qeXv/2bFvXq03eI4+XN/QP8mL10IgtmrKRr7/b877djfPnpd0wcMZsnn32Mu0cvYDTkbYqWSqUUoUMhiL7pvqRSKZ5enlSqHMH6j5ZQMdJx8fZXXn+ed994iTMf/5brccMqhLBk7UwaPFSHHn07IlfKWbd8K4tmraZq9Uq83fE1mj3emFkLx4vVY4QS4/LbWZmZmXh4FPwCukWLFpw7d85m2/nz56lSpYrd/VUqFaoSWB2ioEwmE/rMdJT+gSXWBplSiSYhlfTEVDKT0/EJK/76Djev3+b2zbs89kQTPDJlJJ+7jW/9SoUaaSGRSHi6ZXM++vATou7GEBae/3WRheLlbv3TwhI+bPxoCe+9OzzHHYshI3rRMCwCpaT0TfG5e/wyVZ6ox/L1sxncazxRd8x3Ry5fuMbCmSvZsGMxNw/9i7F6FbjX9UWxyPLJXfunAGmxSTlGReQ2CuLyN8d4Z0IH9Jk6Nq7bafOYf4AfC1ZMZfbUZXR5ry3/++0Y3375I2CegjGw5ziWrZxOUB6DB6FwRN8sGypVjmDNhwvp120Ut27Y3nB7/e3WtH/lBXPokPtCNoA5fFi48n327/2aNcu2WLcvmrWaMVMH06Xzm3i45p6zINjlkn99BoOBGTNmULFiRby9vbl82VwYbfLkyWzcuDFfxxo+fDj/+9//mD17NhcvXuSjjz5i3bp1DBxYNpZNNGo1YDSWSGFJC6lSBSYjSdfNJ0FvF4x4+OO3Y6g9PahaozKelYPQp2aScSu+0Md97ImmKORyPtv7dRG0UhDuk0qlVAwLYeXaWTYjHyyhw7Wf/i3B1jmmDvDG54GKNqGDxeUL1xg1cCrhTWu6ZHqVIAili8IkoUW9+rzX536dGP8AP1aunUWIry8Dhne3CR0sdFodQwdOQdWwIkZx6hCEPPNVebB4yRSbkQ+vvP48A4f2yFfoAJCclMK3X/1sEzpYzJ/2AX/9+Y8oHC2UKIkpt0lDRWD69Ol8+OGHTJ8+nd69e/Pff/9RvXp1du/ezdKlSzly5Ei+jvfFF18wfvx4Lly4QLVq1RgxYoS1jkRukpOT8fPzIykpCV9f1y9XmRttYjyp1y/jVaU6UlnJzK826nWkXb9CfIyBfw4co0W/V4v1S4gJGDNoGpFVInjhlWcxmUzE/e8CCl814S0bFvr4m9Z8xJWL1/nq152iyGQpV9r7Z3YZSWnoMjXciorhvXeH029IN1565VnrSIeiWAfc3mta1h6XyqUYjUbIch2R9TWzr1MukUqJT0uld6cROUKHrKrXqsKKjXOoVMU85zvpdmyuIx4sdSXsvW52xfH3IhQ/d+ufZZWj/mXQGUiLTbr3//ocdRxaT+mMXKW0Lntpj9JTxVeTt1C9dRN+P32KfXu/YsWamdz6+jiRTzdk14Gv+XzfNw6fr1AqWLN1AQ81qS+W7XMh0Tfzr7R8TqVEJ5B8Jx6tWsaAnmNp8siD9BvYFT9fb7TpGqfX3ypvtXU5zeSkFD7d8xWLZq5y+nrT5o+h1cvPiKXmhRLhkm+2W7duZd26dbRs2ZJ+/fpZtz/00EOcPXs238d79dVXefXVV4uyiaWGPiMdiUxeYqED3FvZQipFl5aMT6h/sd/5vHzxGvGxCbR66Wnz60skeEYGkXzqJrqUDBQ+zpfoys2Tzz7G7z8d5ejhv3nsiaZF0WRBAO4XmfIO8Wf/D1vx8PDA18/bJa8J5r6jVCqoVDnC+rjBYODKpev4+HoTHBJoc+GUmJDEgnErnYYOYB75sHH1R4ycOKBAFyeFLb4lCIJjjvpX0u3YXItOegX5Wr+o2GMpSHv5m2O0aN2ENrtac2bnL3gG+XA7OdFp6ADmkQ+jBkzls0PbRPAglGql5XPKqDfw++oDePh68sHKGWTEJnN40T7rSIfswb4jCXGJLJ61Otf9ZkxYRPMnHyE6KhZPLzXhFUIL+xYKLDYmntTkVCpXqyRuDJYTLvkt37p1i5o1a+bYbjQa0el0rmiC29BnpCMt4Xl7lpUtJOjxDvEv9tf768hxvLw9iaxy/8uTR7g/ErmMlPOFX2+4Zu1qVKgYxv49Bwt9LEGwRyqVEhoWXOyhQ1aXLlyld8fhjOw/lZvXbwPm0OHsqQt0eLUP86YtJzbGdrqSf4Afk2ePpHbdGk6P3aTZg/QZ2KVM3RExmUwY9TqMevGZU5pk/b24YACmkA+XvznG36u/IiUqgajT1wk0yuk/rLvT53j7eLFux+IiKaorlD4moxGjTofRoC/pppQ5mcnpnNz4bb6nV1iEhAezcPU0pzcLZTIZyzfOIfpuDO+82JO1y7bmeiOiuMTGxDN9/ELebdOP82cumUdvCmWeS26r16tXj19//TVHAciPP/6Yxo0bu6IJbsFkMmHISEfhU/LD5CRSOWpvFTqK94uUCfjrfyeoVaeGzfKhUrkMdUQAKRfuENCoKhJZwTMyiURCi6eb8fnHX5OcNExcEAluwdEwUIlMSkxSEn06jSQmOo6Y6DhG9p/KotXTSEpIpmeHYWSkZ/DNAfMc7LFThxAccr9YbXhEKMvWzmRIn4lcOHs5x/GbNHuQMSP64FmCo66KmkGrQZsQjzYxDiQSVEEhKHz8kYk7siXKoNWgTUxAmxBr/r0EBqPwDRC/Fwcs5wSpXIYuQ5tzB4mE50a3A0CmVJAanQDYn3aRV3rN/aDu8jd/8/akjkgkElYt2ZxjX28fLzbvWU6tOtXF3csyxmQ0YtBqyIy5iz4tFalCiUdoOHK1F9JCLhldUgo61SItLtnpdKWs0x/yy6AteKDj6ammxdPNWLByKqMHTssR5MpkMpatmYGvrzfd2w1Br9Nbl9jsN7QbYRVcV4DdEjr89N3vAPRsP5RNu5dRu24Nce4o41xytpgyZQrdunXj1q1bGI1GPvnkE86dO8fWrVv54osvXNEEt2DS6TAZ9EhVhV82r7C0GQa8AtSY1MV7x/PqpevExyXS6uVncjzmGRlE+vVY0q7F4F09rFCv0/zJpnyy60u+PnCIdp3bFOpYguAK9laSCKoRQZXXmtK3yyhiouOs28/8d57RA6fRb1g3st7scBQ+eCtVzJo5iomTFtqED5bQ4fRHPxEx/n5xOXdm0GpIuXQOo+7+F7X0W9eRqWPxrlJTfMktIQatlpTL580Fle9Jv30DWVwMPtVrI1WI30t2lnNC894v5zqlIus+zXu/XGRt8FCreOGVZ0lNSWPrhj3W7d4+XixeMx0/fx/xxaEM0mekk3L5HNz7MmvUaki9koJHaAU8QsKRymQl3ML8K+hqTZrUDL6fs9POM8yeH9+xwMFDYXl6qmnSuAGz549jwpi51vDBEjr4B/tbQwcLV4cP2UMHgNSUNBE+lBMu+c22adOGAwcO8P333+Pl5cWUKVM4c+YMBw4coFWrVq5oglvQZ5iX5JOVgiWS0pMykMqkqP0KV18hN3/9cQK1p5pKlSvkeEzu7YEy0Jvkc7cL/Tr+AX40aFSX/XucX6wJQmnlKHSwOPXPWVYt3szcZZPx9Lrfb7858GPOaRcmE2c++oVZM0dRq051wDZ0MOgMxf5+XMFkMqGJj7UJHSwMGeno01NLoFWCyWRCm5RgEzpYGDSZ6FKSS6BVQm5qtGzEjZt36fxmf7x9vOjSyzy6wtvHiznLJrFw5iqmjVvIrRuFnyIplB5GnY70m1etoUNWmdF3MInpa6WKHAm+iTpmzx+HRCJxGjpY7Nt5gDXLPiz2aRf2QgcLS/ggpl2UbS4bH/Xkk0/y3Xffuerl3JK5sKTMXNyxhCXfTcLH1w8pBkwoiuU1TMCxP05S84FqDtNyz8ggEk9eQxOfiiqwcNM+Wjz1CKuXbuHyhatUr1W1UMcShOKg1+tJTUnHP8D2bolfpRCnoYPFmf/Os3rpFuYtn8KI/lPQac0XhNlHPii91Dw3ui1IJCxfN4vN63bxXr938ZTJrSMdlFnCC6WXmtZTOjt83az7liYmvQ5touNleTXxsSh8/Nzybp07M+n15ukVDmjiY1H4+rvtEO7SxivYj9ZTOuepnzrq6zKVgms379C70whSU9JYtWQzA4b3oPfgLjzYuB4fLNjA+TOXOH/mEjMnLmby7JFEVAq38wqCuzEZ9Bg0mQ4f16enISsFI3XdVVF/viq91Dz4anP0mFiwciqeXp74+XnTra390MHCMvKh79CuqNUe+PkX7aiN2Oh4pk+wHzpYiJEPZZ/4VC9F9BlpSJUexb6KRF4k3YknrJo3Upm+IDVu8uTWjTvERMXx1HPNHe6jCvVDqlKQcu42qua1C/V6DzVpgJe3J5/v+4Zh4/oW6liCUNT0ej2n/z3Pwc9/oPegLmT9KmzQ6pDJZHioc7+48/L2JDNTgynbHYOAAH/rh3jWat5+wLDxffH2djytqrRU/84/CTg5nUokOH1cKCYSwNnnnPi9FCmZQpanqvjgvK8romNRqpSQYh6duWrJZjr1eNsaOlj4+vkU23WDUBJy6Yyl4JrVnRX152vW4z3h9xhGo5GL56+gkMudBg8AgUH+aDVaFs1azejJAwkNy9t5Iy8kUgn+AX657qdUKlCqlCJ0KKOKLXgICAjI8xfo+HjHd6TKC2thSe+SLyxp0BnISEzFoAepsfiG0B0/+g9KlZLK1SId7iORSvCsFEjqpSgCmlRHpiz4P1mFQs6jjz/M5x9/zaBR7yEXd9OEUsISOvTqMIzMTA2aTA19BnQ2X++ZIDU6kbM7fmLFxjkMem88N67dsnucpo81on2XN5g4YjZ6/f3pEu26tKFX/3eRafQk3Y7FaDBZgwmFWolRbyAp2bZYlqvWMC8oo06LUa/HZDQilcuRyBU5Ri5I5HJUAcFk3LX/96UKCkUqLfxoh7y0RbhPKlegCgwh/dY1u4+rgkKsS0ob9XpMeh1GgwGpTIZErkAik5m36fSYTEakCgUSubxIfpeulFtxO8i9Hzbr/gIyhfnvyivYzzqnWwK0HNfB/P8yGfHXolB5q5HKZQUqqAdQMbIC67Yvok/nkcTHmgtX7ti8z2afl15vydCxfcRohzJEIpchU3tiyEi3+7hc7Wle6UKvy3IONC8LbzKZMOp05ukYJhMShQKpXGFTTLykSOUyp/VPpHL75xO5h9Lu8/wjQ9Cmm6ePxV+LsvtclZcHXsG5f/kuKpZpl3Ub1GbtjkX07TSSjAz7o1d6D+pCm7Yv0r3tYGKj44mLiWfu8slFFj4EBQcwbFwfAIfTngOD/Nm0ZznVa1ax+7jg/ortm9fSpUuL69Blkkmnw6QvHYUl02KSwAQSmRyJqfiWTPr7z3+pVrMKcgcndwt1ZBCpl6NJvXAXv/qVCvWaLZ5uxqFvf+N/vx3jiWceLdSxBKEoZA8dAD7+6AAmk4k33niac/sPgwlS7iY4DR8efaIJ7Tu/wbihM9Bq7tc0eLvdK7z2RAs0dxL5yU5BOkeF6hwV1ippJpMJQ2YGqVcvZqndIMEjJAyPkDCk8vtTwyQSCUr/ILQJcTmGCsu9fZCrPQvdHkNmBinXLmHMcnxlQDCe4RGiQKITCh8/u19m5J5eKLzMKw8ZtBrSblxFn5ZifVwZEIwqMJjU65cwWZbjlkjMRe6CQmx+/6VdbsXtIPd+KFPI81xo8vnxHZEpZAUqqJeSnMpXn33Pd1/9zJqtC+jXdbQ1fLAQoUPZJJUr8KpUleRLZyHbSDrPSlXMn09XzmPIvB9oKf0DUYdXwpCZQdqNy5gM94JwqRTPiMoo/fyt4WJJ0WVonfad5x0UWNZn2n/ec6PbcWjBHjvPsD2mK4MHC5VK6TR8yB46gHnFuXFDZhRp+BAY5Dh8EKFD+VBsvb5bt27FdegyqTQVlkyJSQApSFUqJKZMMBlBUrTpdFxsAtev3uTVN3MvLipTKfAI8yP57C1861Us1FSUKtUjqRhZgc/2HhTBg1Di7IUOFvt2foFBp+ftN1rmGj480rwx788ZTfydWDw8VNbg4e12r/BGy6c5t/9IkVa2L0lGnZaUS+cwGbMWwDSRGXMXqUKJKijE5hwhUyrxrlYbfWoymnvLNnoEhSL39Cp0MGDQakm5ch6jznZkmDYhFqlcjjosolTc2SuNZEol3lVrok9NQRNvrvegCgpB4eWNVKHEqNeRdtM2dABQ+vmTcuW87Rcgk4nMqNvIlCpUAUGufBvlgiV0mDVpCQALZ67KET681KYlQ8eI0KGsknmo8atVD01CLPrUVCQKBeqQcCRyeY7VaQC0ifHmkUkGw/3QAcBoJP3mVWSqB5B6iaXNXclR+GAvdLBwVfggQofyQ1wRlRKlqbBkakwSHr5eSGT37hwVw6iHE3/9h0wmzXORR88qwehTM8m4WbhpORKJhMefeoQfv/2N5KSU3J8gCMXEWehgsf/jr9l/6CceH/EWzXu/TPPeL9O08/P4qdSs2jKPyCoVeaR5Y6bPH4vaJOXmwb9ZtXYWVatH8nb7+6FDWaJPS8sWOtyXEX3n/l3wLGRKJarAYLyr1sK7Sk2UfgFFMhrBqM3METpYZMZFYxTV3p2SKZSoAoLwrloT76o1UfkHWn8vJr0efartOVrmoTaPkHBQ8Twj6rbD30dZYClC5x8ZwvPjO7rk7qkldJg/fYW12NzRw39bw4fA4ABeer0lA4b3wD/Q9XdyBdeQSCTIVB6owyLM/TWyGnJPL/MUCzur04C5SKzS19/uYxlRtzEaim9EbV7kFgo7elwidd+aFlnDB7Xaw2HoEBx6f/ltS/gQHeW4IHB+WcKHN9q9LEKHcqbkv+UKgLkqcGkpLJkSlXBvqKUMEyAx6TFRtEOGj//1L5FVKqLyyNsID4WfJwo/T5LO3MQzsnB3tJo/2ZR9O7/g6wOHaNe5TaGOJQgFlZqSxpBeExyGDhb7dn1Js0cb4XU7nbv/XbVuf2l6V9ZsXYBMLiOiUjjx16JIuZtA4vGrLFs/G7R6/vzg82J+F65nyLQ/zxjMq1iYnJS1K+q6CwaNk9+d0ejwC7Jgy97vxV64JFUoMTj4kgNg1Gowmcru37m9InRJt4vuy4A9cTHxLJixkjlLJ+Hr582U0fO4ezvaGj5s2fsBKcmpvNWqBwd/24WnZ+lc4UYoGhKJFIn8/hdyR6EDYHf5TevzNBrz+bEEy7JIZc6vtx09LpW59z1bS/jwyXdbkMlkjOw/xSZ06D2oM8++8CQfLFjPkV//Aszhw+6t++k1sBPqIurjlvCh39BuYqRUOeLevaeMsBSWLA3TLIxGE2mxyaj9ve9VKpYiMRZtKp2WlsG5MxepWbtanp8jkUjwrBxM5p1EtAlphXp9P39fGjaqy6cOitsIgiv4+Hqz+sP51uJPjnTo1IZwDx+b0AHAqDcSWbWizQe2X8UgfB6qTKc3+rF+zUfUffuJMrc6gLO6DBKFwqUV1p0tISeRykBMsygwiTTnfRGjTuv071yq8kBSxNMCy7vg0CC271/Fzg8/YfLIuUydO5rwiFDAPPKhX5dRdHt7EIvXTMfHr3BLXgvuR6p0ct3qpC9KVR7gZsVgyxKVSknFyAqER4Qyd/lka5/uPagzBoORrm8PpE3bl2j+ZFMAWjzzKB26vVlkoYNFYFCACB3KGTHioRQw6rSYDPpSsQ5yRnwyJoMRzwDzBYRJIivyApP/njiN0WCk5gN5Dx4APML9Sblwh6TTNwlp8UCh2vD4081YvWQzl85fpUbtqoU6liAUhEwmo3bdGmzatYyeHYaSbqfSfIdObXjpieZc+PwP6zZLFXuDzmBzt1MilxL6XAMG9p1IakoaX3z2HQAd336RM/t+y3f7jIbSeedY5umFRCbHZGeYrjoswqXFBaUqlbkegU6b4zFVSKhbFTosbSRyOQpvP3SpSdZthswMZB5qJFKZ3RER6vAIpIqy9Xdu6efKewFl9hUpjPr89dP8VvLPSM9g0cxVHPvjJADvj5nP+/PHMG3cAu7ejubu7WiWrZ9FsxYPo87Dcr9C2SJTKpGqVOYRDNl4BIWgTUqw86x75+pSvvJP9s/YrNuLUm6r2xT3ClORVSqycddSvv3yJ1KSU9m0+iMAJo2cw8xF46nb4AE69XybkFBRP0coPBE8lAKWqt6lYUWLlOhEAPOIBwCJHIyZ5iFzRXQn8eRf/xFWIQQfv/wVFpJIzaMeUi/eJaBxVeSeBR8h0qhJfXx8vdi/9yAjJ/Yv8HEEoTBkMhkVQ4NZuW42A/tMsAkfOnV/mxcefcQmdAD7Vez9KgZR6bVHrKGDRdbwIb9MRsfDZEuSVKHEp8YDpGZdSeLeqgZKX3+XTleTKZT4VK9N6vXLWVZnkKAKDsEjMEQUliwEqVyOZ6UqpN+6hi7lfvigTU6y/p1bh3lLpKjDI6yrYZQlabFJHFn/Fa2ndAbIsSLFc6Pb5et4+ankHxMVy4QRs/nj97+t26LuxljDhxkTFjF+2lAROpRjUoUSn6q1SL1+BUPG/c8eZWAwquAwjNpMdGmp5uU0MS/t6lmxMjKP0v/vxdL3sivqQs25rW7jihWmfP18MZlM1tABQK/TM2nkHFZumYeff9k7twolo9iCh7feeivP+37yySfF1Qy3oM9IQyKTI5WXfA6UEp2I0lttXRfcJJEhxQQYKYrJeHqDgX9PnqHxIw8W6PmelYJIuxxF8plbBDapXuB2yOVyHm3RhM/3fc2QMb1RKEr+714op4wmYn85axM+dOjUhk6d3+DwotzPjX4Vgwh9rgG9O4+wCR0sLOHDwCHdzNMuSmeekGcSiQS5hxrf6rUx6vXmteHl8hJbG16m8sCnai1zoTSj0VwkWK4o9Xfz3IFMqcQrshomvR6T0YBEKrv3u5bjU+MBTDa/f7l5eotQJKyhw2/HcjxmCR9WbplH5WoV8XCDL5FC8ZGpPPCpVvNeP7U9B0oVCnxr1sVk0JmXaZfLkSoUYkpUKZKUmMK+nQdYPn99jsf0Oj0Du49l9dYFNG7aAKVSLBEtFE6xfdvy8xPVjfNKn56OtBTUdwBIjUpA7Z8lWZWYL+QkRh2mIriQvnDmMhnpmfmq75CVVCFDXSmI5HO38W9YGamy4P+En3z2Mb4/+Au/HjrCc62fLPBxBKGwkq5Hwy+wct1sfv7xCM82eRh9XCrNe7+MV7AfMsX9vpd1mKdPeIDN9ApHvvjsO2QKGX1HdMKUnIlXiB/Ge8eRKRV27+DIPUr3BYZUoSySlSmKglShKHND/EsLqVwOdkJ5mUIJpeT3X1CWVSrA3K/TYpNy7GPQOZ/qmLX/eof4Y7RT0FThoeS50e1QeqrQZTpf9UMilToNHSyi7sYwsPtYNu5eRuWqFZ0eUyj7pHIF2JlaJpFIkCmVUMQFyotC1v6XnUFnIPlOnIPH9Dw/vqPN5zKAVCGn5bgOAJgcTFVUFGKkbnFISkhm364vWDp3rcN99Do9/buOFuGDUCSKLXjYvHlzcR26TDEXlkxD4WDJIZe2xQip0YmEPFA5y1YJJiRFtqTmiWP/4ePrTWh4wdcD9qoSQvr1WGv4UFCVKkdQrUZl9u36QgQPQolLuh4NP5t4sk59m+kVrad0xi/ifn+xnXOa92kFeq2e+KtRnN33O8+NbsehBXuc7p91yLUgCEUv6yoVSbdjnU6BcCQ1OsH6vOa9X3Z6jNZTOuepkr8J87VJbsz7uPkQKqHcsrdKjEXS7ViObvnW7mNHt3yb43MZIP5aFD/M3eX0NUvd56oEu2FlDiZTqZ1+KbgXMb68hJkLSxqQOasM7CIZSakYdAY8A7KOeJCYC0wa9YW+vDBhXkazRu2qhZqHLfNQoI4IIOn0TXzrVsxRDCs/nnj2UXZs2sfdO9GEVwgt8HEEwcJRoSiZQo42PWcBLrmH0nqXRCKRkBabRHj1CLxDAzBodRj1RpuwIeuIh5S78UgPnWLl2llORz288vrzvPvGS5z5OP9FJoua0WjApNObi0NKpUhl8lI3WsBoMJiX5jQYkEil1qkcQvExGY0Y9Trz9AmJBIlUisloBIkEaTn7+7cUkAXw8PNCIpFY+/1zo9uh8lGjSTGfYyQyqXXEg7U2kwOWY2Qf4WTQ6W2+ZIWGBTN7yUQmDJ/F0Sz1HbIKDQtm055lVK5aqQDvUHBHBp0ODHqMBr152pNMViquXQvKWVFHo95Iq4mdSI3OWRzTOzQgx+dynrmwBlFe+Pn70rbT6wB2p1oAyOUyVn24gIebNRSjHYRCc1nw8PHHH7Nnzx6uX7+OVmtbAfzvv+1/sJUHpamwZGqU+QSrDsh28XIveCis2zfvEhcTz7OtWhT6WF7VQsm4FU/K+Tv41Sv4hc+jjzdhz7bP+GzPQfoO7VbodgmCo0JRjkYZOLpL6Wx7Vkm3YsFJ+GATOpTwDQujTkdmzF0y46Kta7zLPNR4V6lRKlb1AXMYnB51G238/YtKuacXXpHVS8WSx2WRUa9DmxBP+t1b5qF3mJfp84yIJOPuLZBI8K5cvdT8Gylu9grIZuXsXOJMforlOQsfROhQ/hi0GjKi76CNj8PyQSJTe+EVWRW5R9EusegquRV1LOxns115GEnkas7CBxE6CEXNJdVdli9fTo8ePQgLC+P48eM0a9aMoKAgLl++zEsvveSKJpRa+vRSVljSS4VCle3kIpEBBusFYUGd+OtfFEoFkVUKPx9U7qlCXSGApH+vY9QXfGkjtacHjzRvzMc7D2AwFO0SSYLgKkm3Yom+Fz54+9wfsfT6261LTehgMhnRJMSSGRtlc/FlyMwg5fJ5DNqcS1K6msloJDMmyiZ0APN5OuXqBQx2ls0UCk+Xlkr6nRs2nzFGrYbU65dRh1fEkJFOypULdpctFYqPJXxo1uJhm20idChfjAYDmbHR986LWc7dGWmkXr2Iwc5SmoJ7sYQPQ8b0tm4ToYNQHFzybXfVqlWsW7eOjh07smXLFsaMGUP16tWZMmUK8fHxrmhCqaXPKD2FJZOjEuwO1TSvbIG5zoOk4Cef48f+o1r1SORFtIKEV40wMu4kkHLuNn71Iwt8nKeff5zffvqD3386ylMtmxdJ2wShuBh0ertFJ8E87HrTrqX07DCMli8+yZBRvVEaofLkqjb7yRTyXOeaqryL9i6WZbSD/ce0GDWZ94qQlRyjXmcejWHvMU0mJp3W7QsaljZGnc48qsHug0YMmRnIPNQYMjMwaDWlpqBoUcteaLIgLOcGAK9g2wLfabFJDgtVegX7WV9b6WXb77OOfLh68boIHcoho06LJj7G/mNaDUatRowG437/U/t7k5GYancfhZ2izc6KXFoed4WsIx9WLd4kQgehWLgkeLh+/TqPP/44AGq1mpSUFAC6dOnCY489xooVK1zRjFKn1BWWjEogpLa9CwoZJkBi0mMqYGXipMRkrly8zouvPVuodmYl91Shjggk8d8b+NSOQKooWK2HajUqU6VaJXZv3y+CB6HUs8zFtlfcCsyV7Xd/uR4vL08CgwNc3TzHjCZMTkYV6TUZKHx8XdignExGg9OhsAatBrmn83n0Qv6YTEaMmkyHjxsyM5EqlebgQZOJwqtsriefvdBkQWSt0/D8+I4EVgmzHs/Z1A2ZQmb3XGIRGhbMnCUT0Wi0VKocUaC2CW7MZAQnBQgNmswSP3eXBpb+56zIq73A31mRS1czhw9tePG15wgNDxahg1DkXDLVIjw83DqyoXLlyvzvf/8D4MqVK3mqnFxWlbrCklo9noF2LuokEqBwdR5O/n0agBo1qxb4GPZ41wjDqNOTfOZmgY8hkUh4plULfvvxD25ev1OErRME15NKpURWqVgqQgej0YhBp8Ng0IFUAlLHHznO5u+bjEaMBj2mPE73Muh0GPTOlw20RyKROS3+JVWU/Lm6rJFIpEidfAbKVCqMOvPvMvtnpVGvx6DT5q0qu1AoIWHBInQopyRSGUicnbtzPy8atNpSMZ1OyJ2fvw+VKkeI0EEoFi4Z8fDcc8/x+eef07hxY3r06MHw4cP5+OOP+euvv3jrrbdc0YRSqTQVlkyJMgdDntkLS95jksiQmPJ/IW9x8u//qBgZjqe3Z4GPYY9MrcSzUhCJ/5lHPcg8Clb5/NEWTfh4xwH2bN/PiAn9i7SNglDaOKvmbaH0UhfqLoxBk4k2ORFdciISqRSP0Ag8gsPIjM4Z7knkcmSqnMNJjQY9Rq2GzJgojFotci9vVIHBSJVKJHYuhA0aDfqMNDTxsWAyovQPROHtm+eihFKFAmVAMFo7w4qlSlWJTwUpi6QKBeqwCP7P3n3HSXJV9wL/3Vuxc0/OeTYqgAJIAkySiAIEJhhJhIcJNtYzSdh+AhkwScJGIGGwENggsky2sTEGG3g8jCSUtdLm3ck5du7K74+a6Zne7p7YaWbO9/MZfbRV1dV3evpWOHXvOYmRgdyVjEPweGFNjYNLMhzHnZ7IBAFWOgVtbgaOZUEKhiCHavZM8sliswwrM8piu/2e7D5MFKHU1kGby3NclOQ1A4eWloaZSi4dkx3I4ZpNHZP3gvXOx9QnyW5SlsDDl770pcwTiRtuuAF1dXX43e9+h1e84hX4kz/5k3I0oSotX0BVQ2LJ6OQCZL8KUS5w484EwNbdYcibLAek6waefPwEnvEHTytCS3P5et0KF4tHhlH3tL4t7UNRZDzzuZfhB9/5N7zzvW+Bx0MnRbJ7rZfNG3Cncmz1YsfS0oidPZmVDNCIReHv3ge5tj4reSOXFfi7+3Nu6h3Lgh5ZRHJ0MLPMTMaRnp1CsO8gRG922yxdQ2JsCGY8urJ9Ig6uqAh079vQUznGOTxNLXAsC0ZkJf/QcuWN3ZpfoNJEr88NSq2qdsJECb62TqSnJ8AVFb7WDiRGB2EbOnydvUjPTsFKuhVczGQc6blpBHsOQFDp2L1Zq6tdbKffk92JCyLU+iY4pgk9slJekisq/J29gJB/mqulpZeOybHMMjMRg6Co7jGfgg8A1j8fU58ku0lZ7ng55+Crhti+/vWvx+tf//pyvHVVM1MJcLk6DryxyXl4awrPnV1JMGkBbHNfm2NPnIShG+jb372tNhYiKBJ83Q2IHh9D6FAbRP/WPtPnv+hZ+K//+DX+/Uc/x2uue0WRW0nI3mBbljtCIU8FgvjgKQT6D8HT0AzbNME4d0c75Lmhty0TybGh3DdwHMRHBhDsPQAurQRKrVQyK+iQ2Y+WhrYwC7WxJes8VIggyfC1dcJpal2qV8/BRSnrvUjxOLaN1MwkYNvwd/XBsW1wQQSXJJiaBrWxxa1wMToIZ2nKRXJsGN7WDiSSK6MkHMNAanoC3taOqgjmE7JbWEsVZtT6Zrc/miaYwAHbPRYHOnsBMff46B6TY7nLtTT0xXnI9U0QCgQtCCG7U9nOzgsLC/inf/onHDt2DABw+PBhvOUtb0FtbW25mlB1rFQSkr/yCXls20ZsahEt53cX3oi5JwfmGHA2+bV59MEnUFsXLumcc293A5Ijc5h/dBCNzzq4pX00NNbhqZdcgK9/+bv4w9e/bEM3KYScq1CG6kKVJERVzixnnIEL7veOiwKuuula98ZXyB1lVK5M15vlmAb0SOFqRdrcNPwdPRDWGYBgpVMFEz3aWhq2ZWaCAbZlQVuYK7gvfXEOSk09sMHM61wUAVEEXRKXnm2a0BfmAceGvrjyvfF39SExdCbva5ylgNC59MgCPE0twA4PPKw+htiWA+ecHBayV1k5ZjCWN1fW6qo051bMSMxGsrYtVO2CEMAdfWalkkiMnM273kwmIKjZ5yPbMNY8JmuLc5BDtQVHS5TDWtUkbMuBqIh513NRwAs+eH3Oedm2bDi2k3VOP1exq0URstOU5ez8m9/8Bq94xSsQDAZx6aWXAgA+97nP4aMf/Sh+8pOf4NnPfnY5mlFVbEOHY5pVUUozMROBY9n5E0suYxwO+FJli42zHQePPvQEDhzuB9vkFI3N4KIAX18TYsfGoJ/XDrlAror1vPBlz8WtH/4cfvur+6nCBdmSaspQXSlrJg3eaELhTeUddtber7PpHZKyKtbfZnf8jYt9DDm3YsZaFS4I2ax8vc5h650HAJTuknBD6FxNSPmVJfBwww034HWvex3uvPPOzLAqy7LwZ3/2Z7jhhhtw5MiRcjSjqphLiSWFKphqEZmYBzjgWedm3WECYG8uweTAmWFEI7GSTbNYzdteh+TQLOYfGkDzVRdsaR/9+3vQt78bX/nitynwQMgWMEGEHAxnPb1eTQ7XbWg/gqoCnEOta4To87vl3BiDHl2EmYiBrXpSxgURcrgWRiySd19SqAYsz1BgUnlMECAFa7JyagDuTQsTRDcZXSDk/v05hxGLQF9cyHtTIwXDAKdxKoQUE+MCBEWF4PFCDtW4QV7OYSYT0Ganc/LtAIAgSlBqavNOfwPg7oeOyYTsOWUZS3769GnceOONWXO5BEHA+973Ppw+fbocTag6VioJLM1vrrTYxDw84cD6c+2YAOaYG39iCeDRB4/A41XR1t68zVauj3EG/75mpMbmkZpc3No+GMNLXnElHv7943j0wSeK20BC9gAuivA0toAJucc20RfYcPI/JkoI9h6AmUoiPnga8eGziA+fBWPMTUx2Tl4I0euD4MmtmsMkCWpdAzjNJa5KXBDgbW7NCiQBgDY3i0DvPtimufL3HzwN2zQR6N0HbWE2a3smCPA2tUKgXByEFJWgKPB19oIJYuY4HB88DTMRh793X95jPQCIXn/eYzKXZCi19ZTfgZA9qCyBh4svvjiT22G1Y8eO4SlPeUo5mlB1zFQSgqyWdPrBRkXG5+Bba5rFEoeJYHAAbLxm+iMPHEFvf3fZLvrVphCkoAcLDw+sPcxvDU+5+Dy0tTfjS5//epFbR8jeIKgeBPsOQqlvcstQerzwtnXB19ENYY3Sa1lsO6dKBRwH2vws9IW5nHnvgqLC39kHT0s7BNUDrqhQG5oR7D1A2dOrHJcVBPsPZX1fPE0tSE1NwFiVRR8AjMgCUlMTUBuaIXi84LICpa4Bgb6DYBv9bhFCNsyxbejRRWirqs4AboWK5Mjg0nVhLmGp6kXWMbmxGYHe/XRMJmSPKsvj9ne9611497vfjdOnT+Pyyy8HANx33334whe+gFtvvRWPP/54ZtsLL7ywHE2qOCuVhJBneFq56Yk00pEEmg51rL/xcoJJ24CzgUDC1OQMJsamcNkzLt5uMzeMMQb/vhYsPHQWqdF5eDs2Nqx7Nc45rn7VC/Clv/8GnnjsGM5/yqEStJSQylkrqdbqbbZDUFV4mlqh1jUCDBsPOCyxDcMdGZZHenYaSl1jzj4FRYGnoXlpOLA72oGSxFY/xhgERYW3uQ1OQzPA3IR2RnQx7/ZGdBHe5nb4u/rcv7Mo0oiWDVqv71dr0lpSObZpID0zmXedpaVh6XrBUsOCorrH5GDYzesgSTTS4RzUJ8leUpbAw7XXutld//Iv/zLvuuWszIwxWJZVjiZVlG2ZsA0dslz5ih6RcTfrsK9uA9U1GIcDtlTZYv1o9aMPPgFRFNHdt4GgRhHJdX7INT4sPDIAT3vtlkaVPO2Ki/BvP/w5vvCZr+LOr/1tCVpJSOWUK6kWF4QtZy23Da3wSseBs8a5YrNBDlIdGOeZahWmvsbfH4BjmxDVrSUR3ssooR7ZNNt2fwqt1tKAb+2+SCMcCqM+SfaSsgQeBgYG1t9oD7HSKQCoiooWkbFZyD4FsndjJwWHiRtOMPnwA4+ju68Dkpw/El4q7qiHZsz//gySw7PwdTVseh+cc7zitS/BF2+/Gw8/8DguftreGIlDSLEtT4lYXf7QcRw4jg3GGBjLPyKBrzNXP185xWK2kVTYOkkiGSWRJKRkso6JnAOMFczvxSnQSwjZoLIEHrq6usrxNjuGlUoCjBUcmlZOi2Oz8G5ktMMyJoDZmnsCWmMkQTQSx+mTg3jxy55XhFZunlzjh1znx8KjQ/B21m9p1MMlT78QXb0d+Mwn7sQ3fvQPVZGPg5BUJAE9kSq4XvZ5quLpia3rMBIx6ItzABeg1jVCUFV3vnBkEWYsAibJbuJHRQE/J0EZl2RwWYat6zn7lsN1RalSYekajFgURmQBTBTd6RuKCl4FSX/3KsdxYOs6bEOH6PXDTMZzthG9vqpIzFxuO6Xvk53LNnS3WsX8LMAYlLoGiIoHck099PmZnO2ZKFXFQ7RqR32XEFfZztzf+MY38MUvfhEDAwO499570dXVhdtvvx09PT245pprytWMqmCmUuCSXPEbWUMzEJ9eRPvF+zb8GoeJ4EgDsLDW1+fRh46AAejb37Ptdm6Vv6/JHfUwMgdfZ/2mX885x2uufTlu+8Q/4Bc//TVeeHVlgiiErKYnUvjPj36z4PoXfegNFb+AsXQNsbMnYa8aLm9EFiDX1kOQFaQmxzLL9YVZeFs7INfUZ83T55KMQM9+xAZOZe1H9AfhaWnb9px+S9MQO3sctrEygktfnIfa0Ay1oZmCDxViaWnEzhwHVz3wtXUiMTqYletD8Hjhbe/ek2Uzd0LfJzuXpeuID53O6m9GdBFSIARvawccQ88qWcwlGf6uXjDQQ5n1UN8lxFWWcaV33nkn3ve+9+GlL30pFhcXM3kcwuEwbr/99nI0oapYqQSEKogQR8fnAAfwN4Q2/qJVCSbX8vADR9De2QJvBZPiyDVurofFx4e3XOHi8AX78dRLzsdtn7gT6fTac44JIe4Q3fTsdFawYJk+P+vmXzhnSkNyfASOmXtMERQVgb4DCPYfQqBnH0L7z4O/szenlOZW2piaHs8KOixLz0zmXU5KzzYNJEcH4VgW1Np6xIfOQA7Xwt/dD197N/zd/ZDDtYgPnoZj5I6EIYRsnRFdzJvQ14hFYCTiEH3+lb7Y1Qe1sQXxoQE4llmB1hJCdqKyBB7+/u//Hl/+8pfxwQ9+MCub7aWXXoojR46UowlVw3FsWFq6KubELY7MQPLIUPybCA4wDgcczCl8okmnNBw7chL9+3uL0Mrt8fU0Qp+LIT25uOV9vO4N12Bmeg7/+PnC0WpCiMsxTegLswXX67EIJH9u+V4zkTukHgAESYbo9UEKhNySbEUYiWCbBvTF+cJtPKeEIykPx7JgJhMA3BwOtq4hNTGK+OBpJMaHER88jdTEKGxdg23SzQ4hxWKbBrQ8UymWGZF52Lq20heHziA5NgTb0GAWqD5ECCHnKkvgYWBgABdddFHOckVRkEgkytGEqmFpbn6Eagg8LAxNwd8Y3vSUD4cJYHbhp01HHj0K0zSx72Dlplksk+sDEAMqIk+ObHkfTS0NeMnLn4+v3PltnDk5WLzGEbILOcDaI4wcB8gzNNdZI2t6SazZxjK3hbjW+pvkfD+2NoqNEJKHs/Yx2LFX5fU6ZzuHjpeEkA0qyyTWnp4ePProozlJJn/2s5/h0KFD5WhC1Vgexlbpcm9GSkd8NoKOS/dv/sVMBOxUwQSTD//+cTS2NCBUs4kpHCXCGIOvuxGRI8PQFxOQw1ubQ3f1K1+AB+9/DB/6y1vx9R98gepQk6LZDUmnLEPPlLdkggA5GIalaVDrGtys6IzBSqeRnpuG5A8iuSrHwzIxzygIALAtC45pwLFtMEEAFyUwzmFpGhzbAhzHrXCwifrwTBAg+oMw49G86+VQeGO/OCkqJojgiuqW53McgHPIoRrIwbD7d5Zkt5SqaYAJIiwtvfS9EDNVUGzTgGOabsUUUQQvQhLS9eyGPkz2NiYKkMO1SE9P5F0vBUMAYwj2H3IrEi0dgxPjwxA9PliG4U65WDpOM1HK5OGxdM09PzgOmCBkSms6jgN76dzBOHf7cZXk1qE+TUhplKWHv+9978MNN9yAdDoNx3Hw+9//Ht/5zndwyy234B//8R/L0YSqYaWTYKIEVuEb14WhKcABAk01m36tm2ASgGMCLPuizjBMPPbIUVx62VOK09AiUJtDiJ0UET06hvpnbCHQAkCSJfyvd7wen/qbz+Erd34bb//fbyxyK8letZOTTjm2DTOVQGJkMJPTgSsq/F19MBNxJCfHMrkbBI8X/o4eWKaRk89BrqnLe4No6TqSE8MwIovuAsbhbWmH6A8gOTqUqXjABAGepjYgENpQ/hwuiPC2diB66ljO6AYxEASXKj8ibS/ikgRfWydiZ09Cm59FoHc/tLkZJEaH4OvoQXp6YiW5HedQ6xrBRQmpmQn4OnoB20JibDjrO+dr74agekqazHkn92FCAIAxDqW2Htr8bM7xmSsqpGAY+sIcomdPZEY8SIEQQr0HAMaQHB3M7pv1TZBr6+EYbt4WS0u7qyQZ3rZOCKoXRjyK1MRoJkeE6PXD19GdCUxUEvVpQkqjLIGHt73tbfB4PLj55puRTCZx3XXXobW1FXfccQde//rXl6MJVcNMpSo+2gEA5oemoIZ8kD1baAsT4MBNMOnw7JuFo0dOQktr2H+orzgNLQLGObwd9YifnULNJT0QlK09Aes/0IMXv/xK/MNnv4qnX3ERnnLJ+UVuKSE7y3L1itVD5B3bgqWlkRwbyt42lUR8+AwCvQchBcMwkwlwUYRSWw9wwX0ituppl20YSAyfycz5X9o5RJ8f8YGTWQkgHctCcnwYvo6eDSfuFRQVoX2HkZqZgBGLggsClIYmyIFQ5uk5KS/btmEZOvzd/bB1DdrMFPTIArytnUhNjsJKp1ZvjPTMJNTGFoi+AGBbiA+dydqflUoidvYEgvsOV8V5l5BqJsgKgv0Hoc3NuDlwGKDUNmRKaZ47GsKIRRA3dHjbu7KqXcC2kZ6egByuXTo/rAR3bUNHfPA0An0HkRofcUetLTGTcUTPnkCo7xC4XPly84SQ4ivbmKbrr78e119/PZLJJOLxOBobG8v11lXFSich+YMVbYNjA3ODkwi3bb7EJAB3egUTwBwdDrxZqx7+/WOorQujrqG2CC0tHk97LeJnpxA7NYnw+R1b3s81r30JTh47g/ff8BHc829fRl395keMELIdss+DF33oDWuuLwe3esVUzrx8paYe6ZnJ/K+xLBixRYgeLyR/AI5lIT03A1tLI9CzLytoYJtGdtAB7hNsS0sXrDqRmhqH6PVt6IkZYwyCqsLX1gXbMsHAKOBQYY6hIzU+4o7G6z+I5PgIwDi4KGYHHVbR5qbh7+pHaip3+g6w9J2LLkKobypl08uiWvo+2b0EWYGnqRVqfSMAd7qSraWRnpnKu72VTrkjILgI2CsJX5X6JmjzcwXz5aRn3MDEuQktHcOAmUpA3mWBB+q7hLjKEnhIpVJwHAderxderxczMzO4/fbbcfjwYbzwhS8sRxOqwvLc00onlozPLMBIaAi11m15Hw4T3ZKaq/I8WJaFRx48gvOfcqikw1q3QlAkqE1hxE6MI3Re+5bbJ4oC/uTdb8bHPnAb3venf40vf+szkJXddYIk1c0T8lXFEE/HtmAlc5MDC4paMPAAuE+hHQDGOZUjzFQSUmAlL0y+cpyi15eZXpGPrWtrJyjMg3EOgVMfrgaObWdyhThLVSu4JMHK813IvMayAIY1M+sb8RiUusaqOy9tVrX0fbK7Mc7BVh0THdvOGplwLiudhujxwEzEMssEjwf6/Fzh16RSEOvz5/UxEnHIod31UIf6LiGuslS1uOaaa/D1r38dALC4uIinP/3puO2223DNNdfgzjvvLEcTqkK1JJacPTMBQRbgrd36yAuHiWCwAaxEs08cPY1EPFlV0yxW83bUwYynkRrfXqm82rowbnjfH+OJR4/h5htvgV3ubPyEFNmaVSjybOs4jvskeikXAhNFNwlgqAaOZYFLhW/kuSxDUFR4WjqgNrYA3D0NLR8Xl9vCCuR8EOTCoxnc3Dk7++ZyL1r+TjHOIYdrIQXD7ncqXAvB41l7JApjABiENb5zgqLu+KADIZWynCAYcEedyeHapZG77jIuy7ANDZI/uNRnvbANY+3zgCRngovnEtSVYzxVzCBkdynLiIeHH34Yn/3sZwEA3//+99Hc3IxHHnkEP/jBD/ChD30I73znOze8r4985CP4m7/5m6xlBw4cwPHjx4va5lIw0ymAMbAKD+edOTWKYHMduLCNuBNzvzrM1uEI7hCxB3//GELhIJpaGorRzKKTwl6IfhWxkxPwtm1vKkj/gR687YY34K7PfQ2BoB8f/Ph7wXlZ4nikhIqRyXq9fWx0P6Xm2DZsQ4e2MA8rnYTo9UMOhcFlJe9Nmm0asHUN6bkZOLYNJVwLT0sbpGAQjHMYUXeOLxMF+Nq7ERs4mTP6QPT5IdfUw4xHYcRj4JKEYO8BGKkEBNWD1PQkzGQcguqFUlMLLsmwjZXSvWYsAm9zG8B43iG8Sl0jQNMldgzLMGCnk9AW56GE62CbBsAFqHUNMOMxOLYNLkngiurOM1+YzdmHHKqBEV2AUtfgTs3IQ6nZ+ui+YrAtB5Hx3LbblpMpYSh5ZNhm7lPlajhWkL2NCSKUukZI/gCsVApmKgGuKPDXN0KPLILLMrytXTBii7ANA3Iw7CZ09QegL+Yf9aA2NCE5PpznzRgkXwCWloa2OA8rlYTo9UEO1YDLMhgr3nVWYi4KLb72uZoQUlxlCTwkk0kEAu6Qqp///Of4wz/8Q3DOcfnll2NoaGidV+c677zz8F//9V+Zf4tVUn5nPVY6VfCivlySC3Ek52Jo3L/1PAcAAMbhgLsJJgUPbNvGw/cfwYHDfVX7ZIkxBk97LWInJmCldAie7Q2vvvTypyKd1nD3XffANC389Sfft2O+iyS/YmSyXm8fG91PKTmOAzMZR2zgVCY4YEQXkZoeR7D3AERvdtts00BqehLa7Mo8XyOyAF9nL/ToIszYSllKPbIAKRCCv6sf8cFTmeVcVuFt60Ls7MmsrOna3Ay8bZ3Q43GkJkczbdEX5+Dv7kN88ExW8EGPLCDQ3Y/48JnMsHwAkIJhKDX1VOp2h7ANHYmRQZjxKPzd+5AYH4ZjmvB19iA+eCaT6R5wvyO+jm44tg0jMp9ZLvoC8DS1Ij4yAE9DC5T6Rmiz0ytvwjj8nb1rPnktB8e28Z+f+M6a21zx9pfi3i//NGd5pY8VhHBJglJT5x67c/plD2zTzDrWG9FFMEFEoO8AvK2dSE6MZAWh1YZmCKoXoi/gJrFcwrgAf88+2IaRFbg2ootITU0g0Lsfks9ftN9Li6fwX7fk75dXvP2lRXsfQsiKstwl9ff348c//jFe9apX4T//8z/x3ve+FwAwPT2NYHDzw/1FUURzc3Oxm1lyVipZ8WkWMydHwUUBgebtz59zuARmuzcEJ4+fRSwaw4HD/dvebyl5WmoQOzmB2JmpbSWZXPas514Gzjm++sXvYGFuAbd+7q/h9XnXfyEhFWQbhlsB4NwpFraN+PBZBPoOZA1dt3U9K+gAAFxW4JhmVtBhmRGLQAqF4e85AFtLuXkUPF43i7mZmxgyOTaM4L7DWP3sydY1JEaG4O/dD8c04ZgGuKyAixIczhHoO+jWgDdN9+kaFzZc0YJUnhGPwYxHIQXDMKILsLU01IZmpKcnsm5uliVGhxDsPwg5FF7KlSTDSqeQGBuCv6MHTBAh+gNQ6xphpd3vHFdUcFFyh4oTQrbE0jQkx4YL9MtB+Ltyp9c6lonk6CDk2nr4u/rcY7hjg0sK9Mg8jHgE3tZOeBpbYGlpMEHI5D+Lnj6We25ybCSGzyLYf7DigURCyNaVJfDwoQ99CNdddx3e+9734sorr8QVV1wBwB39cNFFF216f6dOnUJraytUVcUVV1yBW265BZ2dnXm31TQNmraSmCoazb1ILgfHsd0EPEWM1m7F1PERBFtqIYjbfyroMBEcGuBYePDeRxEMBdDSVt2Zw7ksQm0MIX5qYltJJld7xrOfBn/Ah7s+9zW88Q9vwB1f/gTaO1uL0Nrdr1r6ZyWtznbNBA7LscHt7PXF5hhG1miB1Wxdc+ferrq4S8/nGeIeDGc9rTqXPj8H0euDtjgH2A4CffthxAv/fc1EHKIvkJWgzEonAcvK/5RL8AAqZQIvpVL1T9s0kV4amSCHwkiMuUOuRa+vcGJSx4GZSCA9OwXHtuCYFgD35sSxbQjK0uWMIGyoqkkxrZexnhfhfFsK6ZQGdSsltUnFlfPc6dhW4aS+jgNb18FEKSeobCYTUBuaER88ncm/sxy8sJIJyKEaCKoHwqrjuJlMFMz9YBs6bNMsS+DBMkxcddO1EKT8fbfaqlBQXyY7RVkeA7zmNa/B8PAwHnzwQfzsZz/LLL/yyiszuR826rLLLsPdd9+Nn/3sZ7jzzjsxMDCAP/iDP0AsFsu7/S233IJQKJT56ejY/lPurbA0DYBT0YoW8ZkIknNR1HQWqZTpUp4HWBoe+v1j2Hewt2qnWazmaauFEU1Bm83/ndmKCy86jJs++h5EFqN43Uvfhl/89P8Wbd+7WbX0z0ryhHwItdYj1FqPhWQSv/ntg+B+NbOsFMOs103YlTMSIk+QgrE19+M4truNaboZ0ddJYOnYdt4n05RcrHJK1j8dZyVHB+OAvbHkpsuZ9d0bk9Wv2Vwlk2Jb3Yfz/eTL3VBp0UgM//ajn2NkKH8ZUlLdynvuXOfY7diFr/2WjvuOZWWNmHBsO/85Yb1Ex5usWrRVv7/75wBQsE9X0/SnkaFx/OSH/4nI4t57cEN2nrKNP2xubsZFF12UlYDv6U9/Og4ePLip/bzkJS/Ba1/7Wlx44YV40YtehJ/+9KdYXFzEd7/73bzb33TTTYhEIpmfkZH8yadKrRoqWkweHYKgSAg0FalMEeNwICC2MIdoJIaD5+0rzn5LTK7zg6sS4qcLl/zbivaOFvz1J2/EwcP7cOM7P4QP/cWnkIgXLvFGqqd/lptlWIiMz2Z+olPzGDg9hD9+3bvw1zfegp/+y38hFi1cNnK7uCxnspSfi4kSmCDCTLtJxCwtDTmcm4zVTCaWMpvnJ/mDWU/J3KfShZ9ESz4/5Jo6+Dt74e/sdd+TMRpWW0Gl6p9MFCEtlcszE3FIAfd7ZBvGmsF5QfXklFnlsgLGq3NEwTLbqmxg5FzRSAw/+ud/x0dv+jTe+vr3UPBhByrludPSNJipJMxUEpaugTFh7X6peLLy8Czjkgy7wMg6KVQDJuQOumaSVPDcBM7BKI9WlpGhcbz9uvfiYx+4DT+8598p+ECq3o7vweFwGPv378fp06fzrlcUBUoVzPu10ikwUVwablZ+tmVj8skh1HY1bq+axTkcLkISbATD1T/NYhljDJ6WGiQGplH79P6ifh5erwd/+p4347e/OojvfP1H+P3vHsYnb/8gLn7ahUV7j92kWvpnuSVmI5lEct66IHpfeRn+/M/+GjPTbgbwT9zsjgR76TVXIRAs/vQsJopQG1uRnsq+4WCCgEDPPiQnRmBEF5eWifB390PweDMBVAAwEzGoDc1gi3NwjOwhtkySIPr8WcPmU1MT8LR2ID5wCueSgmE4cOcLw3ZHSig1dQj0HQDPU1aTlEep+idb+vtqczPQF+bg6+qFEY9Bm5uGp6kViZGBnNfI4VqYidxgnLe1o+xTKzbLqaKSy8tBh9s+4ZYynxyfxltf/x780z23o6OrrcKtIxtVir5pWxasVAKJsWHYWhqAWz7T194Nb2sH4oO519lyTX3e3A8A4G3rRHpuJmc5E0So9Y15R7hxQYSnuQ2pidHc/bW00/lgleWgw/ioe5797C1fBAD84euvRii8+fx5hJTDjs+4FI/HcebMGbS0tFS6KWsyU8mKTrOYPTMOM62jtru4STkth8PvU/G0yy7cEdMslnlaa2AbFlKj+Us9bQdjDH/w/MvxkVv/Aj6fF2957btwx6e+BMPIf3Ime1e+oMOyT9z82dKNfLAdCLIMb1uXO7+WcwheHwK9B5AYGcgEHQA3SVhs4CR87V1Qm1rBJAmMC269dllBsO8glPpGMEF0y67VNyLYewBcViCHasC4kAlECLKKYP9BiP4gGHefonlbO+FpakXszHE36AAAjgNtfhbpmamqumkjxbP83ZFr6pCankSguw9c8UCPRuDv7ofoDwBLCSI9Le1Q6pvAZRlcUQHOIfoDbhJUlZL5btS5QYdly8EHGvmwt9m6htjZU5mgA+CO1o2eOQ4uKQj0HoDoC7jHbkWFt60TSl0DRK8fvo4ecEUF4wJEXwCB/oMQfQH42jrdAPXSgzeltmHNBJFMEKDU1GeC3eAcgscHf88+yKFaShS75Nygw7LP3vJFGvlAqhpznDJNmCqS97///Xj5y1+Orq4ujI+P48Mf/jAeffRRHD16FA0NDeu+PhqNIhQKIRKJbKmixlYtHH0Ukj8Ipba+bO+52iPf/b8w0wb2Pe8pRd3v4MAIulu8ODUwB5NV91Onc83ddwpiwIPmK88v2XvYto2f/eSX+PF3/wOHLtiP2/7hb3bMyJBKqFT/XJaKJKAnCtf1ln2eded2FtqHZVhIzEaW/t/EEz+5r2DQYbUPfvy9RR/5YGlpRE48AS4rUGrqwCUZlmlA9HjzjkgA3CkYwf6DAGNgDgBRAF8a4u7YduapFxPEzMWhZRrA0lBbJsmZqXaWYSzljWAAZ4gcP1Jw7m7owPlV/0R7ryhF/1z+7jhL/28l4+4y2wEXBNiWCX1hDlY6hUDPfpjpJLggQvD6Iao743sRm17A4kjuk1815MsE7GW/J2/C140cczaiUNBhtebWRhr5sENtt2/aponE2BCMyELe9Up9E2zTgBIMg8kyHNuGNjsNI7qIQN9BSD4/bMOAAweMcfBVUyIc24ZtmWCOO9puo8ED2zTgOLn7K5b4zCLS0cLTYdWgF/6GcNHfd7sKBR1We+9Nf0ojH0hV2nFTLUZHR3Httddibm4ODQ0NeNaznoX77rtvQ0GHSrFNY6n8V2VGPMRnIoiMzqLr8s3l09iIY0dOQmWdaG0OY3gqvf4LqojaEkbs5ASstAFBLc3wPc45XnrNVTh4uB9f/NzX8bqXvg2fvetjuPTyp5bk/cj2eEK+bV/kF9pHZHw2M70CAJ5x46vxlje8d82gA+COfGhuacSznncZhCJN1bKXpkbYuobU1DgAd7oDWyOJmGO6lTBET+4TZsY5GM99giWIEpBnaKwgSQDc5WYysWbCMNswKPCwi63+7pipJBIjgwW3NVMJaPOzsHUNgd4DAHbG98I2ray+n8+LPvQGhFpL82DCNC387v89sGbQAXBHPrzj+hvxrX/5ImrrwiVpC6lOjmXCSiUKrrdSCQiqF/Hhs3nWJSH5/OBS/usoxjmEPOeH9ZR6WoVlmPjl3+XPDwdgzUo1lTI/t4g/feP71ww6AO7Ih+aWBrzg6udBrNKqOmRv2nFjlu655x6Mj49D0zSMjo7innvuQV9fbg3hamKl3KeflUosOfrIaUheuegXNaZp4eSxM4jG0vB5ReyciRYutTkMOA4SQ7lPooqtd183PvTJG9Ha3ox3XH8j/v1Hvyj5e5LqduYXD+P9/+dPsxLu5nPFs5+GwxccKFrQAUBWrhk5XAdPcxsEWQGX1jhGMVY46dd22rLO71+pvDik/BjjwNKZhCsKpGAYondlpA8XpcyoAPpebJwoCrj4aRfiksvWHvEoCAL++pM3wltlpQJJGXAOLhYODrh9L/90US5TAuBy8fm9uPkT71s3mHDx0y/EJZc/lYIOpOrsuMDDTmSmk+7w5ALR4FLS4ilMHh1CfX9bUZMoAsDZ00PQNB1cViFwBq+6sw5wgiJBrgsgfnaqLO/nD/jwnv/zJ7jsmRfjpvd8HN/71r+W5X1JdZp6fADqRAKf+swHCwYfrnj20/DxT9+Ehqa6or43E0Uo9U0I7jsMQVXd5LeyDNHjdefV5iHX1BV8opWPpWnQo4uIjwwgMTYMIxmHlSfzORMliN78o0y4rIBRMrG9QxSg1NbD39UHtdZNPif6/PB373OrYHAOxzIhqO60BEvLHmVnGzqMWMT9zo2PwEwlYZuUWwcAGpvq8am//1DB4IMgCPjC3Z/CxU+/EKq69xL+7nWCJENtKDwNVK6th74q988yJrj5HiwtjdT0BOIjA9AW5mCdU32GFIeiyLj46RfiC3f/bcGgwsVPvxB/+/kPo7GpMlO7CVkLBR7KwEqn3AvoCiRfHHnoFASBo763+Mk3jx45gXBdGLLihWk58Ht3VuABADwtNdCmozDi5ZkmIooC3vKn1+LKFz8bH/vAbfjRP/97Wd6XVKe1gg+lCjoAbh4GORBC9PQxpCbHoC/OIzU+gujp4/C2dUJQsp94il4/PA3N4HnKn+Vj6Rriw2cQHzwNfWEO2tw0YqePQ5udzgk+cFGEr6MX/JwM7VySEOjuX5qWQfYCQZSg1DciMTaM5MQI9MV5pGcmER88BTlUAyMWBZdleFvaER8+g+iZEzDT7ohC29ARGzyD2MAp9zs3O4XoqaNIz0xS8GFJoeADBR0I4JarVeobc5Z7mtshyErOeYEJAvw9+2Av5QxKTY5BX5hDYmQA0dPHcgKDpDjWCj5Q0IFUOwo8lIGVSlZkmoWR0jH++FnU9bdCkIqbziOd1nDm5CC6e9oBACnNQsC741KGQGkMggkciYHpsr0nYwzXvvlVeO5Vz8Df/J9P41e/+J+yvTepPvmCD6UMOgCAY+juXN1zcis4toXEyAB8HV3wtXfD09wGf1cfpFAYycmxgjXZV7NtG9rcTFbpzWXpmcm89d4FRUGw9wACfQfha+9GoPcAAn2H3IobZM+wDB3J8WE4ppGzLjEyALW+AZ7GVsRHB+GYJhzTQHJ8GJahu09Z88xRT89MwqanrxnnBh8o6ECWmYk4YDvwd++Dt6Ud3tYOt8KM14vE2AiUmlr4u/rgaW5zS2y2dcGxLMSHcvM+OKaJxOggBf1KJF/wgYIOZCfYeXeKO4xj27DSaYi+QNnfe+Shk3AcBw39xc9QffLYGVi2jc7upcBD2kKgVoEoMJjWzimUwkUBSkMQ8TNTCF/QWbb3ZYzh+j9+DWLROP7qf/8NvvGjf8CBw/1le39SfrLPs2ayKos5uP1LH8d3v/Uv+JtP/VXJgg7AUsLbAvN1bU2DbRhIToyCCYIbKFgKUDjN7cA6c+sdQ4e2MFtwvb4wB8mbW6GDS7JbYs1XvOodZGdxLAtmPFZgpQMzkUBqeiIrMGHGY3AsE9pc4eBxen4GPo+3YiWf1+v7y9uUy3Lw4QPv/QT++E+vo6ADgW0YSM9OwUqnoM3PLJW7dGAbBoL9h2DGIzDjEYBxcGk53wODp7kNcPKXPDYTcXe7ElSkKIb1+mU5++RWrA4+/NMXvolP3nEzBR1I1avOo8Eu4g41cyAo5T2pGykdY4+cRn1fKyS1+Il/nnj8OJqa6+H1ugfmVNqC4zgIeEUsxHKfVlUztaUGi48MQF+IQ64p300P5xxvveEN+NRHPod3v+0D+Oef/iOVPtrFNlIx47JwABdcdBh19TWlbYyd/0Ixw3HcEoc5wYmNBRUdq/D+85UMJATAmtVNAHdEDuM891vorPOdq/BT12JUyym2xqZ6/O3nPgSv30tBBwLAgbPqvJA1Mm11v3TszAgiLslLZZHX2Os6fbqSqrFfbtZy8OHA4Q+jtq7E1w2EFAFNtSix5eHG5S6lOfzgCTgO0Higvej7XlyIYnRoHN29KyMEbAdI6zYCvp2X50GpD4BLAuJnyzfdIvPeiow/e+9bEI3GcfP7bqnqkzQpPY9HLX3QAUsXjIXq0BRIdMkVFQCDmU7BTCVhaQWGr3MBkr/wCC85RBdHJD/G+dJ3Mz9B9eRM1eGSDHAOMRAq+Dqlpq5iox2qWW19DQUdCAA3748UDOdd5wB5+6Vt6Evnhfy4JIHznXdNuNMoikxBB7JjUOChxMxUElyS1i0ZV0xaIo2xR86gYV8bJKX4ox2OHjkBURTR0ZWdsDKVtuD3iKWouFdSjDMoTWHEz05X5Ma/vrEOf/yn1+H//vfv8M9f/3HZ35/sQaIIpSE3iRgAeBpb806V8LZ2ID0zgejJJxE9dRTxwVPQYxHYRvYIJ0GS3OG3eQ4EgqJCUPNXzSB7l21bMGJRpGan4WnJHyyXgmGYyUTOqAhPawdERYW3qQVguedZrqgQClRNIYS4GOdQ6xrylqnVF+bgae3I+zrbNCDX5J8W6G3tpFKbhJAsFHgoMSuVLP9oh/uPg3GgYX/xczvYjoMjjx5DR1crxHPK3CXTFjhn8O2wspoA4GkJw0pq0KYjFXn/p1xyHp7/wmfhtk/eicGzIxVpA9k7BFGCWtcIX3t35vgkqB74Ovsgh2og+oOZMpai149A3wFoi/PQ5lcCEpaWRnzgVN6yaVxREOw/BCkQcksJCwKUukb4u/eVfdoZqX5WKoXYwEnoc9OwDQP+nn2ZYAGXJHha2uFpagVjLFPSVfD64OvsBWMMjuOAKyqC+w65T20ZA+MClPomBHr2QVhjFAUhxMVl97gth2vdwDHnUGoboDQ0gzEGX2cvBM9yv5ThaWoFF0R4GlvcIMNSPxM8PgR690NcY+QbIWRvohwPJeQ4Dsx00j2Il0k6ksDY42fRfLgLolz8MnSjQ+OILEZxaZ5a4IbpwDBtBHwi4qmdNY9bqvGBqxLiZ6ehNoUr0obXXPdyPHnkBD70/ltx9/f/Pqe8IiHFJMgKhFplKfGtA4BlggJqfZN73HLcJ2F6NAJjYS7vflKTY+CdPVk3d5wL4B4vvB3dwFJOByZK4OskpiR7j20aSE2sBFtTEyMQPF54mtrcIANjgOMgeuooRK8PakMLmCjC1tJITYzAcRwE+w9DkGWIqge+jh43jwgDuCCWdbQhITsZYwyCosLb3gVPszvyiIsibENHYmTQHR1a2wDe0ATHNKEvziE1NY5A/0EodQ2QQuHMOYNXaUJJQkhl0Rm5hGxdA2y7rKU0B+87BlGW0LCv+KMdAODxR44iEPSjvkDG/WR6Z5bVZIzB0xJGYnBmzSRlpaSoCt78jtfj0YeewHe/8S8VaQPZewRFcadArBqJwBiDIMkQZBlcFGHGFgu+3kwmCiarFERpad8qBR1IXo5tu9+hVaxUEvHBU4ieOgptYQ7mUq4kM5lAcnwYieGzSE2NwzYMN3HkqgR3XBAgyDIESaagAyFbwPlSH5LdPuTYFhzLhG0YSE2NIzF8Fsnx4Uy/tZLJnHMGIYTkQ2flElq+WFor+U4xJeZjmDw6hKaDHRDE4l/kp9IaThw7jZ6+LrACielSaQuyxKHIO++rpbbUwNZNJMfmK9aGA4f68Jwrr8Dtn7oL01OFSxISUk5MWh49xSB6/RD9gcxcYLrIJNvBGAPL8x0SPD4oDc0QvT5wcZ3Re3lyOxBCimRV/+KSDNEfhODxrlpW/NG1hJDdic7WJWQlE2CiWLYnfYO/exKyV0Fdb3NJ9n/08eOwLRs9/Z0Ft0lpNmzbQXAHjnqQAh6IARXxs1MVbcerr305RFHEpz/2hYq2g+xNjmXB0tJIzUwhMT4MPboIpaYeSm0D/N19EH0+dzhuaye8rZ1Q6hvBCmQ8N+IxJMdHkJoah5lOwS5QStNxHFi6Bm1hDonxYWjzs7A0jaq87BL5vlOW7lanYKIEtX7lnMVVD4L7DkOtbwRsC7amgcuymy8kDylUkzdwQQgpDiaIkGvq4OvshdrYAkFWIAfD8HfvgxgIQVA9sLQ00rPTbv+OLOTN/UMIIXS2LiEzlYQgl2e0Q2xqETMnx9Bx6b6SBDocAI88cATtna3weNb+nZKahYBPxMyivuZ21cjTWoPYqUlYuglBrkz38Pm9eM11L8dX7vw2Xn3ty3HZMy+uSDvI3uPYFox4FPGhM5ll2uy0m4RSkhAfPL2yfG4GotcPX0dPTj4S29ARHzoLMxnPLEtNjcPT3A6lrh5cyO5blpZG7MwJOJbp7hsAOEeg9wBEj5dKIe5ghb5TXFYQ6N0PQVag1NTBTMRgppLwd/QgPng6q2xmanIM/q4+OI4NMx7LLBdUD7wtHTSNh5ASEiQJakMz4gOnssvZMgZ/Vx9s20Ls9PFMxRltdhpckt3+XaYRv4SQnYFGPJSI4zgwU4myTbMY+N2TkP0e1HQ1lWT/I4NjmJ9bRN/+7nW3TaUteBQOUdh5NwtqSw1gO0gMTle0HVf8waXoP9CDWz9yB0zTrGhbyN5hGwbiw2ezFy4NhU9Njedsbybj0CPzWSMTHMdx5+WvCjosS02OwtazA5K2YSAxdCYTdFhZYbs3oGZ2uU6ys9iGgfjQ2dzluobkxBhsywKXJPg6uhHoO4DUxGj2zQ0AwEF8+Iw7yqatE2pjCwK9B9yKFVSuj5CSsnQNqfGR3H7pOIgPnXWn3p4zOs02dCTGhmDT9QshZBUKPJSIraXdxJJq6QMP0Yl5zA9MovlwZ8kqITz8wOMIhAJoamlYd9tk2h1OvROTTAqKBLk+gPjpyk634Jzjuv/1hzh7agjf++a/VrQtZO8wk4mcC0jJH4ARLVxmNj07nRUcsE0D6dnCgTvtnOoYtmnC0tJ5t3VMA45BgYedzE1Al3/KjBFZyAScuCgBjgMjHs2/I8eBlUpCW1yEEV0EE4RM+T5CSOk4tr1Gv7Rhaem8D9nMeCw3oEwI2dMo8FAiy4kly1HRYuDeo1CCXtR0NJZk/9FoHKeOn8X+g70Fk0quZtuAptsI+Hbm8FdPaw20mSiMSLKi7ejq6cCznnsZvvCZryCyWOCkT0gR2fkuErmw5sWjY1nZ95XO0rJC2+c8NVu7ioxToGIG2RnWHrHiZAe61snp4VgWGBxY6dS63xtCSJGscwx2TLNgkmHK00MIWY0CDyViJuPgkpzJ/F4qkfE5LAxOoflwFxgvzdSGh3//GERJRHdfx4Zfk0xb8HtE7MSp2WpjCEwUEDszWemm4FV/dDUM3cCdt99d6aaQTXIcB7auw9LSsHR9R1yASV5/zjIrlYToCxR+TSCQdZxjggDJX3h7OVyb9W8mimtWJaCM6TubtMZ3hytKVslLxvmaf2/R44WZSrjTfwT6XhBSDkwQVlU2yiV6vWCCAF9HD/ydvfC2dkJQPWCiVPJrYELIzkKBhxIxE+XJ7zDwuyehhnwIt9eXZP+apuPRh55A375uSOuVNFslkbbAOYPfs/NOOkzg8LSEET89Bceu7M1iKBzAS195Ff75Gz/GwOmhiraFbJxtGtDmZhA5fRSRE08geuoo0rNTsKt82sByqbTVbF1zq/PkG73FGDzNbVnJ/bggwNPchnxRRy4rEDy+7GWiBE9za972KPVNYJs47pDqw2UZYoFAlLe1E1yS4VgWjEQMqalxqI35vwtSIORWRbFtqA0tFJAipFxECd7m9ryrpEAI4AK4pCAxNoT48FmkZybdKkhdveuXwiWE7CkUeCgBx7ZgpZMlz++wODqLxeEZd7RDiYYWPPbQEzANE/sP9m3qdabpQDdsBH0786Tjaa+FldKRGptbf+MSe8FLnoPaujA+/Yl/qHRTyAY4to307BSS48NwlhJrOZaJ1MQoUjMTBUtKVgMuSfB3dENtbMk8qRJUD7gkIdC7H0ptQyagIPoCCPYfylu5R1BUBPsPrYyUYAxKbcNSFYPsefmMcyg19W51jKV1TJLgbe2Ep6GZKhbscFyU4O/ocb9TfOk75fEi0Lsf4tIIG3Opqom+OA8rlYCvoxuC6gHgPm1VG1vgaW5DcmwEvvZuqPUNWSMlCCGlIwgCRF8A/q6+TJUKJohQG1vgbe1AamIU2tx0ZkqGbehIjg/D0qikJiEk287L/rcDuMm0kLlwKpWBe4/CE/Yh1FZXkv2bhonf3/souvs64fVt/ndJpi03z8NMCRpXYlLQCynoQfTEBLwdpRlNsuG2yBJec+3Lceftd+N3v3kAz3j20yraHrI22zCQnsmfnFSbnYZa1whU8c00l2R4mlrcIAMcd/j70lMrb2sH1MaWpeVCwXm9jHOIHq9bAtG2ADBwUSx4s8hFEUpNHSR/wJ2Swhi4KFEZzV1ire+UbZpITYxkttXmZ2HEY1BqGyDIMpiiZBJPBvr3Q6CEkoSUnSDL7o/qARwHDmNgogRH12DE8icfTk2OQvIHqfIMISSDHhmUgJmIA5yXNOP24ugMIiMzaCrlaIdHnkQqmcLBw/u29PpEyoIocPjU6r3JWounvQ6psXkY8fwZ98vpksuegv2H+vB3H/08ldesco5lrpkkbyeUF2OML11oKllDZRlfvXz9uDUXRQiy4t5AbuAJNZfcfQuSTEGHXabQd8qxLfecuYqta0hNjiI+fBba7AyEVd8LQkjlCIoKQfVAVFQIguAmei3AMc2lwDMhhLgo8FACRiIOQfGU7MLZcYCB3x2Fp8aPUGtpRjsYhol7f/sQuns7EAwVTg62Ft2wYZo2gr6dObBGbQmDiRyxE+OVbgoYY3j9m16Js6eH8P1v/aTSzSFrWSfJKw0RJ2QFAwMTls4RnEPw+rJGC1LJTEKq13oBaAogE0JWoyvgInMcG2YyDsFTumkWiyPTiIzOovlwZ8kO6g/9/jGkkymcd+HBbe0nkbYQ9O/MwAMXBXhaaxE7NQHbrHzUfrm85t9/+h+xuJB/aCOpPC5IBRPLcll2qziUmWXo0GMRpKbGoC3MwdI12LYNS9egL84jNTUGPboIS9cL7sO2LFhaGunZaaSmxmEm41WfLJNUPyZJUOob4W3tgL+9G5LXDzlUA3/3PsihGsjBECxdo7KqhFSYpaWhRxeRnBhFem4GVjoNJitAgWC65A9V5HxHCKledEQoMjOZBGwbYonyOzgOcPa3T8BTG0CwpTSjHRKJFO7/7UPo298Df8C3/gvW2lfKQsgvwasKSKYrf/O+Wd6ueiSHZ5E4O43A/pZKNwev+qOr8eD9j+HvP/2P+OtP3Fjp5pA8uCTB39WH2NkTmeSSgJskz9/VX/bh4paWRuzsSdjGSlCBKyp87d2ID56CsyrZJRMlBHv35+SnsU0T+uI8kuPDmWWpqXGI/iD8Hd30VJpsGWMMSk0dEiMDOVMuvG2dsAwNiTPHEejZB9HrpxFDhFSApaURGzgFW1+VMJIx+Lv7Eeg5gNjZE4CzEhzksgJveye4QLcZhJAVdAYvMjMedfM7lKiU5tzZccQmF9ByfnfJRjv89lf3wXGcbY92AABNt2FaO3e6hehVoDQGEXlyxE16V2GhcADXvOZF+P63foInHz9e6eaQAkTVg2D/Yfi7+uBpaoW/qw/BfYdLnnD2XLZpIjE6lBV0AABPQzMSw2eygg4A4JgG4sNnc0Yy2KaRFXRYZsaj0BYXqqJvkJ3Jtm1o87M5QQcASI4NQ5AUwHEQGzwN26QRNoSUm6XrSI6PZAcdAMBxEB86AyYICO0/D76OHniaWhHo2YdA3wEI+UowE0L2NAo8FJkRj0JUvSUJCti2g7O/fQL+xhACjeGi7x8AxkYm8NgjR3H+Uw9BVYtz0nBHPezMwAMA+LobYURTSI5UvrQmADz/RX+A9s5WfOwDn4FVxaUZ9zpBliGHauBpaoUcqoEgK2Wf7+pYJsxELGc5E4SC0ySsdAq2lZ0AU5+fLfge2uwU3RCSLXMMHdpc4dJHemQBSl0jYNtrJrIjhJSGY1sFK1fAtmFrKQiKAqWmDp6mVkiBECWCJYTkRYGHIrItE2YiDsHrLcn+p44NITkXQ8sFPSW5gTENEz/7yS9RWxfCvgM9RdtvPGlBEjl8np1Z3UKu8UGq8WHx8eGqeLIrCALe8NbX4NgTJ3HP139U6eaQKpZ3Xjxj68+XX7XecZycERNZm5omUPluQXYwxypc6cU2jUzyyZ1QEYaQXWed8wUFngkhG0WBhyIyY1EAgOjZXl6EfCzDwsBvn0SoowG+2mDR9w8Av/nlvVhYiODpV1wMxor31dANG7phIxyQ1t+4Svl7m6DPxZAam690UwAA/ft78NwXPBOf+9SXMTo8UenmkCrFBAFMOCfg5zgrVQTyvohnrWeMQQrVFNxc9PnBBDqVkI1zbBuWrsPSNQAMos9fcFvJH4QZd5+2ip7SBPUJIStsy4Kla24SYssCBAFMLHz9JlC/JIRsEF0tFpEeXQSXFXCp+DfYQw8ch57S0HpBd9H3DQAnj5/Fg/c/hqdcdB7CNaGi7z+eNBHyietVGqxacp0fUo0PC48MVMWoBwB49etfBq/Pg4/85adgU8Z3kgeXZHia23KWG7FFyDX1eV+jNjaDS9mBCdHrL5BAksHb0k4JxMiGWbqG5PgIIieOIHL8CFLT43m/o4CboE5QVJjJBER/sCTnVkKIy3EcmOkUEiNnETl+BJHjTyAxOgSAwdPUmvc1oj9Ix39CyIZR4KFIHNuGEY1A9BZ/tENqMYGRB06i8UA7FF/xk9NNT83i3370C7R3tWL/4b6i7x9wp1swBoR26KgHxhgC+5qhzyeQGJiudHMAAB6vije/4/X4/b2P4Nt3/7DSzSFViDEGOVQDX0dPJnDABAGiLwA5XAu1sSUzuoGJEjzNbUtPn7MjhIIsI9B3AHK4NrNO8PjcBGIKJRAjG2PpOmJnT0Kbn3FLNAHQF+ZgxGMI9O5feXLKGORwLfzd/YiPDkJtaHarp6zx1JUQsj22riF6+hiM6HI+BwdGZB6xM8ch+QPueWQ5YSTnUOob4WvvglCiZOqEkN2HwpRFYsSjcGwLoj9Q1P06DnDql49AUiU0Hews6r4BYH5uEd/91r8iEPThsmdeDIbSDEmwbAfJtI3aoISF6M6cDyjX+KE0hjD/0Fl4O+rBpcrnrDjvwgO46iXPxmc/eScuefqFOHT+/ko3iVQZLkpQaurcY5NtA4wBjoPIiScg+gPwtrSDcQ7btqDPzyI1PYHQ/vNyMpILsgJvW5f7dNoBmMDpRpBsipmI52bGB5CeGofT0Ax/Zx/g2HDgBshg2wh07wMXRSqjSUgJObaN9OxU3nwOjmlAj0ag1jdC9PrgOI57pShKEES6jSCEbBydyYtEW5gDl+Si17OfOjaM+cEptD21H4JY3BvdyYlpfPvuH0ISBTzn+VdAKvFNRCxhwKMI8KqVv2HfqsCBFlhpA4uPDVa6KRmvue4VaO1owY3v/DCikdwKBoQAgCDJEBQVgqxkKlqY8RgSo4OID59FcnQIZjIB2DacAkn8uCBAkBUIikJBB7IpjuNAjy4UXK/NTQOcQVA9EFXPqu+rTEEHQkrMsUwYS3nK8jGiC3BsG4Kiuv1T9VDQgRCyaXQ2LwLbNGFEFyEFgkWtNpGOpnDqV48g3NmAUGtd0fbrAHj0wSfwra/+AKpHxvNe8CyontIPlUtpbpLJ+vDOLbMkehX4+5oQOToKbbbwSbqcJEnEO9/9ZizML+IvbvgITMr8Ttax7o1cmct+kt2PMQa+xo0KzRMnpIIYy01EvHq1IJa9HDQhZPehwEMRaEs17sVA8apN2LaNY/9xP7jA0X5Rf1H26QAYGR7Ht7/6A/z8p79GT28HrnzRs8sSdFgWiRsI+kSo8s796vm6GyEFPJj+zXHYhlXp5gAAGprq8afv/l/4/e8ewcc/+JmqSYBJqhMTpYJZygVFpSR+pCSU2obC6+qbaBQNIRXCRQlqfVPB9Wp9E408IoRsGx1Ftml5XpzoCxT1ic2Z3xxBZHwOXZcdgihv/WLMtm1MT83i/v95GF+76x585+4fIhFP4rkveCYuvfwiCGtEuEshnrRgmDYaa3duQjrGGUIXdsJKapj53Ymquck/fMF+vPkdf4Qf3vPv+Mwnv1g17SLVh0sS/N39wDkXkkwQ4evqoxtAUhKFqqy4yU5r6IkqIRUk+YOQgrmlk5W6RggqJZAkhGwfjW3cJm1+Fo5pQA7nLzW0FaOPnMbYw6fRdlEf/PXrl7Y0TQvRSAyRxRiikSiikRiiizHMzS1gdmYepmFCEAW0tDbi2VdegZbWRjBWuZjTfMRAU50Cv0dAPFUdIwY2S/SpCJ3fgcXHhrAY9KDmop5KNwkA8MznPB3pVBpf+9I90NIa/uojf1724BKpfowxiB4vQvvPgxmPwUwnIXr8EH2+nKSShBQLF0UodQ2QgmEYEXfOuBQMQyhRGWpCyMZxSYKvvRO23gw9suBWlwnVuPnLKJ8DIaQI6EiyDbZpIjU1BtEfLNrF+vjjAzj9q8fQsL8N9X25wYxEIomxkUlMTkxjenIGszPziEXiK0+3GYPHo8Ln98Lv9+G8Cw+grq4WdQ01VXMDmkxbSKUttDaoOD2SgL1DH8yrzWH4kzoWHx8GEwWELyh+1ZGtuPLFz4YoivjmV76H8dFJ3HLHzQgE/ZVuFqkyjDE3UWStAgo1kHLhggguiBDV4peGJoRsDxclcFEqSWl4QgihwMMWOY6DxNgQHMeBUlu//f3ZwOB9RzF03zHU9bWg9cJeMMaQSqUwdHYUQwOjGBocxeK8W1/Z41UQrgmjta0ZgUN++AM++PxeeLweCDtgHt7soo62RhVtjSpGptKVbs6W+Xoa4Ng2Fh4egJXSUXtpb1XMg3zOVc9AbV0YX/r8N/DaF/8xPnbbTXjaFRdVulmEEEIIIYSQPYg5e2wieDQaRSgUQiQSQTC49WSQqekJpCbHoDa2QPIHttWmdDSJEz9/CAvD02g6rxOGX8bQmWEMnB7G5OQM4DgIhgJobG5AY2Mt6hvr4fXt/KdFXlVAU52C2UUdk3O5td13kuTwLKLHx6DUBVD/zAOQw9XxtGB2eg7/dOe3cfLYGbz0mqtww41/jI6u3DnW1aJY/ZMQUnzUPwmpTtQ3CSE7AQUeNsmxbaSmxpCemYIcrt3WaId0NIXhh05g/LGzsOFgQo/jxOAITMOAoshobGlES2sDmluadkWgIZ+AT0R9WEYkbmB8Jg3LrnSLtk5fTCByZARWSoe/vwmh8zogh7yVbhZs28b//Pr3+PH3fopoJI7nv+hZeNUfXY3Ln3UpJKm6Bj3RxRMh1Yv6JyHVifomIWQnoMDDBtmmCT2ygPTMJGxdg1LbACkU3lAWbscBkokkZidnMTU0icWxWZjzcXgsDtO2Mbwwi9HIPGrqatDYXI/mlkbU1IUqmgCynLyqgPoaGXCAuYiOSNyEZuzMCIRj20gOzyIxOANbMyHX+eHtqIPaGIJc64egVC6Bmq7r+O2vf49f//y3GBudhD/gw9OuuAgXP+1CHDjcj57+TjQ21Vc0szxdPBFSvah/ElKdqG8SQnaCPRd4iEQiCIfDGBkZWfPg7DgO7NlJOIlY7krFAyZJmJ6cw0O/fwymbmat5pyjp64eQXXtp926ZSJp6BAkAaIogmHvlhKTVREdvY151933y6MYOjVV5hZtDwPgswUozvrBo1nRwKiko2x/fgcYG5nAE48eg2GY62+/5AUvfQ7+z0ffBUWR1902EAhsKYCx0f5JCNk66p+EVCfqm4RUr632T7JizwUeRkdH0dHRse52Po8HD/37j9FQV5u1fHZhIfP/nAngeUYlMMbgkQrfnDlwgD31qW+cIHKIcvbw/8EjY3jsv45VqEXbxxmDZ42qJyldw2f/+9+gWxsPAhQXgyisPxLDcRwcH7sPpm2su+1Wn7pstH8SQraO+ich1Wl6ehoNDQ2bfh31TUJKj0YUbd+eCzzYto3x8fFtRa2i0Sg6OjoosrwF9Nlt3U767Lbav4rRP4tlJ33e27FXfk9g7/yu6/2eu6F/btRe+Jvv9t9xt/9+wMrvuLi4iFAotOnXb6Vv7oXPdaPos1hBn8WKcz+LnXTuq1bVlVmuDDjnaG9vL8q+gsHgnu+UW0Wf3dbt5s+umP2zWHbz573aXvk9gb3zuxb796zG/rlRe+Fvvtt/x93++wHY8k3NdvrmXvhcN4o+ixX0Waygz6J49kb2QkIIIYQQQgghhFQEBR4IIYQQQgghhBBSMhR42AJFUfDhD38YilI4YSDJjz67raPPrrz2yue9V35PYO/8rnvl99yIvfBZ7Pbfcbf/fkBlfse98LluFH0WK+izWEGfRfHtueSShBBCCCGEEEIIKR8a8UAIIYQQQgghhJCSocADIYQQQgghhBBCSoYCD4QQQgghhBBCCCkZCjwQQgghhBBCCCGkZCjwQAghhBBCCCGEkJKhwAMhhBBCCCGEEEJKpmoCD7feeisYY3jPe95TcJu7774bjLGsH1VVy9dIQgghhBBCCCGEbIpY6QYAwAMPPIC77roLF1544brbBoNBnDhxIvNvxtim3stxHMRiMQQCgU2/lhBSWtQ/Cale1D8JqU7UNwkhO0HFRzzE43Fcf/31+PKXv4yampp1t2eMobm5OfPT1NS0qfeLxWIIhUKIxWJbbTIhpESofxJSvah/ElKdqG8SQnaCigcebrjhBlx99dW46qqrNrR9PB5HV1cXOjo6cM011+DJJ59cc3tN0xCNRrN+CCHVgfonIdWL+ich1Yn6JiFkJ6po4OGee+7Bww8/jFtuuWVD2x84cABf+cpX8C//8i/45je/Cdu28YxnPAOjo6MFX3PLLbcgFAplfjo6OorVfELINlH/JKR6Uf8kpDpR3ySE7ETMcRynEm88MjKCSy+9FL/4xS8yuR2e+9zn4qlPfSpuv/32De3DMAwcOnQI1157LT72sY/l3UbTNGialvl3NBpFR0cHIpEIgsHgtn8PQsjWUf8kpHpR/ySkOlHfJITsRBVLLvnQQw9henoaF198cWaZZVn4zW9+g89//vPQNA2CIKy5D0mScNFFF+H06dMFt1EUBYqiFK3dhJDiof5JSPWi/klIdaK+SQjZiSoWeLjyyitx5MiRrGVvectbcPDgQfzVX/3VukEHwA1UHDlyBC996UtL1UxCCCGEEEIIIYRsQ8UCD4FAAOeff37WMp/Ph7q6uszyN73pTWhra8vkgPjoRz+Kyy+/HP39/VhcXMTf/d3fYWhoCG9729vK3n4C2IYOS9dhaWkIsgIuKxBkudLNIoQQsku45xkNlqZBUBT3XCPReYaQncC2LTiGCTOVABwHotcHJorgQsVuPwghFVTVPX94eBicr+S/XFhYwNvf/nZMTk6ipqYGl1xyCX73u9/h8OHDFWzl3mRpGmKDJ2GvmmPIJQn+nv0QVU8FW0YIIWQ3sLQ0YgMnYet6ZhmXZQR69kNQ1Aq2jBCyHtuyoC/OITk2nLVcrW+C2tgMLkoVahkhpFIqllyyUqLRKEKhECXg2QbbNBEfPAUzmchZx2UFgb4DEOiJFNkC6p+EVK9y9k/bMBAbOAkrncpZJ6geBHr2g0t040IIUJ3nTjOVQPTUsbzr/N39kIPh8jaIEFJxFS2nSXYm2zTyBh0AwNY1OKZZ5hYRQgjZTWzLyBt0AAArnYJtGWVuESFkoxzbRnp2uuD61PQEbLpWJGTPocAD2TzbXnO1Y1llagghZDvSaQ2/+e97ceTRY9hjg99ItVvnPLPuekJIxTiOkzVFKme9YQAO9WFC9pqqzvFAqhMTBIAxoMCNCg1/JaT6TU/N4k+uvxFnTg0CAF7/plfhpo++G4yxyjaMEABsneRz660nhFQO4xyiPwAzEcu7XvD6AL5+9TpCyO5CIx7IpjFJglLXkHedFKqlC0JCqpxt2/iLGz6C+bkFfOiWG3Hd/3o17vn6j/CvP/jPSjeNEAAAEyXItfV518k19WCUmI6QqsUYgxKuBcsbXGDwNLWACxR4IGSvocAD2TTOBXgaWqA2tgDLVUcYg1LXCG9rO7hIgQdCqtm//ejneOSBI3jbDW9AV08HrnzxH+CyZ16M22/5IrS0tv4OCCkxLgjwNrVCbWgG2PJ5hkNtaIK3uZVuWgipcplk4x7fyjJFRaBvPwRZqWDLCCGVQneIZEu4JMHT2AKltt6da8s5uCiBcYplEVLNLMvCnZ+9G5c8/UIcPG9fZvk1r3kJbr7xk/jJD/8Tr7nuFRVsISEuLsnwNLW6I+zoPEPIjsIYg+jxItCzbynpuAMmiDQdl5A9jM7eZMsY5xBkBYLqgSArdDFIyA7wq5//D8ZGJvDSa67KWt7U0oALnnoYP7jn3yvUMkJy0XmGkJ2NiyIEVYWgeijoQMgeR2dwQgjZA4YfPIGf/vVXMfSj+/D0Cw6ju68zZ5tnPPtpePKx4xg4PVSBFhJCCCGEkN2KAg+EELLLTTw5iPv+6T/AVQlaUsNVHQdgxtM521148WEoioxf/vy3FWglIYQQQgjZrSjwQAghu5hlmHjwm/+N2q4mzHoc/OrUUQiSiLkHz+ZsK8syzrvwIH758/9XgZYSQgghhJDdigIPhBCyiw38z5NILcbR/5yn4KH7H0NbVysC/c1IDs3AiKZytr/w4sN44tHjiCxGK9BaQgghhBCyG1HggRBCdinHcXDyl4+gYV8bTAE4fWoQ+w71wtNaAyYJiJ2ezHnNofP3w3EcPHjfo+VvMCGEEEII2ZUo8EAIIbvU7OlxxKcX0faUXjz+yFEAQF9/N5jAoTaGkBiYhuM4Wa+pb6hFY3MD7v+fhyvRZEIIIYQQsgtR4IGsybYsWIYO2zQr3RRCyCYN3X8MasiHUFs9Hn/kSbS2NcHr9wIA1OYwzHga+kIi53UHDvXhofsfK3dzCclYOfcYlW4KIWQJXRMSQrZDrHQDSHVyLAuWriE1NQYzmQSXJHgaWyD6/OAi1WEmpNrZto3RR06j6VAnbNvG0SMncdHTLsysl2t9YAJHamweSq0/67X9B3rw21/fj1g0jkDQf+6uCSkZx7ZgaRpSU+MwkwlwSYLa2AKJzj2EVMzKNeE5/dLrB5eoXxJCNoZGPJC8zGQC0VNHYUQjcEwDViqJ+NAZpGYmYVtWpZtHCFnH7Olx6Ik0Gva1YfDMMFLJNHr6OjPrGeeQ6/xIjs3nvLZ/fzccx8lMzyCkXMxkcuncs5g59ySGziA1NUFPWQmpEDNVoF/OTMC2qF8SQjaGAg8kh2XoSIwN5V2nzUzBoaGvhFS9iSMDkH0qAk01OHrkJBRVQXNLQ9Y2cq0f2kwUtmVnLW9qaYQ/4MORRynwQMrHNozC5565aTr3EFIBtqEjMTaYd502S/2SELJxFHggORzLgq1rBdebqWQZW0MI2YqJJwZQ29UExhiOPXkKHV2t4IKQtY1c4wdsB9pMdulMxhi6ejvwxGPHy9lkssc5lglbSxdcb6Zy85EQQkrLsSzY2hrXhEm6JiSEbAwFHkgOtt56tt4WhJBKSi3GEZ2YR013EwzdwJmTg+jsas/ZTgyoYCKHNh3JWdfd24EnHj2eU/WCkJJZ79zC6JKFkLJbp18y6peEkA2iowXJwUQRgsdbYCUrvI4QUhWmjo8AAGo6GnH29BBM00RHd2vOdowxSCEv0jOxnHU9fZ2Yn1vA1MRMydtLCAAwQYDo9RVaC5HOPYSUHRNECGv0S8HjKWt7CCE7FwUeSA4uSvC1d4NxIWedr70bXKBiKIRUs+kTI/A3hCF7FZw8dgaqqqChsS7vtlLIC202mjOyoavbHSFx/OipkreXEMA993jbu8GE3HOPt70TjKpaEFJ2XBQLXhN627uo2gwhZMPoDpLkJageBPcfhr44DzMeA1MUqLUN4LKS96KQEFI9pk+MoLarCQBw8vhZtHa0gPH8cWYp5EXi7DSshAbRr2aW19SF4Q/4cOLJ03juVc8sS7sJERQVwf7D0CMLMONRMFmGWtcILss5OUoIIeUhKCqC+1b3SwVqXQO4LNM1ISFkwyjwsIdYhg4rlYQejYCLEpRwDZgk5R3BwBiDICtQG5rh1DeCMU65HQjZARLzUSTnY+h55nmwLAunTw7i8mdeXHB7KegOk9Xm41mBB8YYOrracPzo6ZK3mZBljDEIigK1oQlOXQMc24IRi8CcnYbo9UEKBMElmc5HhJSAbRqwNA364jwYY5DDtW7QT5RW+mV9A10TEkK2hAIPe4Sla4gPnIK1KmN4enoc3rZO98RSYPoEYwyMUTSbkJ1i9tQYACDUVo+xkUnomoa2juaC23NFApdF6PNx+Drrs9Z1dLXhycepsgUpP8YYLC2N6NkTgO2We9UXZgHOEew9sEYuCELIVtiGjsToEIzYSrLh9OwUlNoGeJpbwUWJrgkJIdtCOR72AMe2kZ6ZzAo6LEuODcMxqAYzIbvF7JlxeGsDkD0KTp8YgCBwNLc2FtyeMQYxoEKby00w2d7ZgrGRCSQTVC6NlJdt6IgPnckEHVZW2IgPnYFt6JVpGCG7lBGLZQUdlmnzM7DSqQq0iBCy21DgYQ+wTRPa/FzB9Xp0sXyNIYSU1MzpcYRa3USSp08OoKmlEaK0dvIvMeCBvpDIWd7W0bK0n8Git5OQtdimWTC4YBs6bNMsc4sI2b1s00B6bqrg+vTsFJxzg4CEELJJFHjYExzAKXzCcCyrjG0hhJSKntIQnZhDcCnwcPbUIFraCo92WCb5VVgJDbaRfTPX2t4EzhlOHT9bkvYSUtAa56wNrSeEbJzjrHkt6FhWTuUjQgjZLAo87AGM8zXnw0qBUBlbQwgplfmBScABQi11iEbjmJmeQ0tb4fwOy8SAm1Ty3FEPsiyjsbkBp05Q4IGUFxMloFDyOsaotCYhRcQEEVKw8LWgHKopWBmJEEI2io4iewAXJXhaO/OuEzxecEUpc4sIIaUwNzABUZXhqfFj4PQQAKClrWnd14k+FWCAvpg73aK1rRlnaKoFKTMuSlCbWvOuU5tawCnwQEjRMM6h1jWC8dzEkUySIAXDVMWCELJtFHjYI0RVRbD/EESfHwDABAFqYwsC3f0QJLnCrSOEFMPc2QkEW2rBGMPA6SF4fV6EwsF1X8cEDsGjwFjMTSLZ0t6Es6cGS9BaQgpjnEOtbYCvoxdcdoPjXFbg6+iFWttAT18JKTIuKwjuOwgpVAOAAYxBrq1HsPcgBJkeUBFCtq9qzty33norGGN4z3ves+Z23/ve93Dw4EGoqooLLrgAP/3pT8vTwB2OcQGi1wd/Vz9CBy9AcP958DS1gBcx6GCbJqx0CkYiBiudouRfhJSR4ziYH5xCsKkGADBwZhjNrQ0bfkol+hXoeQIPrW3NmJmeQzSSW/WCkO1wbBuWrsFMxGEmE7B0LSuBHRdFKDW1CPYdROjghQj2HYBSU0ujHQgpAcYYBMUDX3s3QgcvQOjABfC1dkJYGhVrWyYsLQ0jEYeZSlJlGULIpomVbgAAPPDAA7jrrrtw4YUXrrnd7373O1x77bW45ZZb8LKXvQzf/va38cpXvhIPP/wwzj///DK1dmfjoohS/NktXUNiZABmIp5ZJvr88HX0UKSckDKIz0SgJ9IItNTCAXD29DAuunTjx0XRpyI9lVtKrbXdnaoxcHoIT7mEjrOkOGzLhBGNIDE2lCmZybgAX0c3xEAQfNWQb75OVRZCSPFwQQCE7CkXtqEjOTEKfXF+ZTtFRaC7D4LiKXcTCSE7VMVHPMTjcVx//fX48pe/jJqamjW3veOOO/DiF78Yf/EXf4FDhw7hYx/7GC6++GJ8/vOfL1NrST62aSIxMpgVdAAAMxFHYmQQtmlUqGWE7B3zg5MAgGBTDWan55BMJNHcun5Fi2WiT4GVzK1s0dzaCMYYzi7ljCCkGGzNDVZj1QgHx7YQHzoDW9Mq2DJCyGqObSM1M5kVdAAAW0sjdvYULBr5QAjZoIoHHm644QZcffXVuOqqq9bd9t57783Z7kUvehHuvffegq/RNA3RaDTrhxSXYxowE/mHYZuJGByackEKoP5ZPPODk/CE/ZA8CgbPDAMAmls2HngQfO7IJCOaylouyzLqG+sweHakeI0lO0Kp+qdtWUhNTxRcn56ZyppyQQjJVs5zp20a0OZm868zdAoUEkI2rKKBh3vuuQcPP/wwbrnllg1tPzk5iaam7AztTU1NmJycLPiaW265BaFQKPPT0dGxrTaTXGvVfgbcp1iE5EP9s3jmB6cQaAoDAAYHRhAKB+D1ezf8etHnltQ0Iqmcdc2tjRg4PVyUdpKdo2T907FhaemCqy0tTYEHQtZQ1nOnbQNO4f5o6xR4IIRsTMUCDyMjI3j3u9+Nb33rW1BVtWTvc9NNNyESiWR+RkboqV2xMWHtnBGMV0UqEVKFqH8Wh21ZWBieRmApseTgmRE0Njdsah9cEsBlEUY0N8Fkc0sDTbXYg0rWPzmHoBaeFy54PFS1gpA1lPXcybn7U2i1UrpreELI7lKxO8KHHnoI09PTuPjiizPLLMvCb37zG3z+85+HpmkQzklu09zcjKmpqaxlU1NTaG5uLvg+iqJAUSi5YSkxUYTkD8GI5yamkwIhMJECDyQ/6p/FERmfg21aCDS7iSWHBkZw6WVP3fR+RJ8CI5KnpGZrE375n/8Phm5AkinR315Rqv7JuQBPYwuMyELe9Wp9EwUeCFlDOc+dXJSg1jUhPZM7PYrLCgSZSrITQjamYmf2K6+8EkeOHMGjjz6a+bn00ktx/fXX49FHH80JOgDAFVdcgf/+7//OWvaLX/wCV1xxRbmaTfLgoghvexekYChruRQMw9vWtVRJgxBSKvODUwBjCDSGMTs9h1QyjaaWzY14AADBq+TkeADcqRaWZWN0eLwYzSUEXFHg7+rLGjHHRBH+7n0QiljmmRCyPYxzqPWNUOoaAayUZxY8PgR69hW1LDshZHer2B1hIBDIKYHp8/lQV1eXWf6mN70JbW1tmRwQ7373u/Gc5zwHt912G66++mrcc889ePDBB/GlL32p7O3frSxNc+fyMQYmSm5ZpQ0QZBm+9h44lgnHssAEAUwQKehASBksDE/BVxeEIImZJJCbnWoBuIGH9HQEjuOAsZULzOUgxuDAKHr6uza1T8dx4FgmmCBm7ZPsbZwLkIJhBPd53QTEnIEx93xjWyY4Y2uOenBsO1MxiXGBzjWElBCXJHia26DWN7rXeJyDiSK4uP4IOMswANsCHAcQBAosErKHVfWZenh4GHzVhccznvEMfPvb38bNN9+MD3zgA9i3bx9+/OMf5wQwyOZZhgErGUdycgy2lgY4h1LbALW+EYK8seF8XBQBuvgjpOxWJ5YcHhyFP+CHbxOJJZeJXhmOYcHWDAjqysVhKByEulwt4wXP3NC+HMeBNj+L1NQYHNMNPHiaWqHUNVAAggAAGGMQZAWOIMJMp5AYH4KVSgCMQa6pg6exJe/5x9I1pKYnoC/MAY4DweOFt7UTouoB22CwnBCyOVwQgE32LzOdQmpyDEZ0EQAg+gLwtrSDq56s63tCyN5QVXeJv/71r9f8NwC89rWvxWtf+9ryNGgPMRMxJIbPriywbWizU7BSSfg6ujccfCCElJdlmIiMzaFhXxsAYOjsKJqa67e0r9UlNVcHHhhjaG5pxNDAxhKYOY6D5MQItNlpiP4gRK8PViqB5PgwbFOHt7l9S+0ju5OlpRE7c3xlgeNAn5+FmYgh0Hsg6wmpZeiIDZxyA+TLy1JJxM4cR7D/EESvr5xNJ4QUYGlpxM6eyCqpbiZiiJ45geC+Q+BrJJglhOxOFG4ksLQ0UhOjedeZiRhswyhziwghG7U4OgvHthFoqnETSw6OonGLgQfRuxJ4OFdjcz0GzmyspGZ6dgra7DSU+kZ4Gpsh+QNQG5qh1NYjPT0JvUBSQbL32KaJ5ET+gJatabBS2clOrVQyK+iwWnJiBPaqmxxCSGXYtg09spAVdMhwbKSnJ6mvErIHUeCBuHNlDb3gejMZL2NrCCGbsTA0BcYZfPUhLC5EEI/G0bSF/A4AwAQOrkgwY7mBh6bmBgwP5A9QrmYmE0hNjEIK1UAOhrPWSaEaiF4/EqNDcCxrS20ku4tj2zAThc8xemRxzX+vZibicGz6XhFSaY5lwYhFC643EzE4FgUeCNlrKPBAgHXmW28keRAhpDLmh6fgbwhDEAUMD4wBABq2OOIBAASvDCOe+0S5qaURc7MLSMRzy20ucxwHidFBcFmBUpvbBsYYlPoGOLaF9OxUnj2QvYYBWZUtzsUlac1/Z+2LEpgSUhWWk08WXC+KAKNbEEL2Gur1BEwQIZ3zZHJlJYNAc2YJqVrzg1PwN4YBACNDY1BUBaFwcMv7EzwyzDxTLZbzRgwPFh71oM3NwEqnoNY3FbwB5KIEKRhGamaSRj0QMEmCUt9YcL0Srl3z31nr6hrBKFBOSMVxQYBaV3jknVrXCEGm6haE7DWbCjwcO3YMH/7wh/H85z8ffX19aGlpwYUXXog3v/nN+Pa3vw1N00rVTlJCgiS5WYaVcxJIMgZ/Zx+NeCgRQzcwOTGNaDSWd30qlcbU5AySidybQEIAwNQMRCfmEWiqAeAGHhqb6rf11Ff0KjBiuSMeGpdKahYKPDiWhdTUOER/EIKqrvkecqjGTWC7MLvldpLdgTEGtbYeos+fs87b1gV2zggHJknwtueWdBW9fqh12/vuk53PcRyMj05iYX6x4DYL84sYH52E4zjla9gexGUFSkNTznIpGIboD1SgRWQjotEYJiemYeiby+82PjqJ+VnK30TWtqHAw8MPP4yrrroKF110EX7729/isssuw3ve8x587GMfwxve8AY4joMPfvCDaG1txac+9SkKQFQRy7Jg6RqsNXI4AICgqAh074e/ux9KQxM8rR0I7TsM0R9wSygV4NZSN+HYdrGbvqsZuoEjjx3Dy55zPf7tBz/PCT6kUmn8/n8exouf8Uf4zS/vpeADyWtxZAZwnEzgwU0sWbetfQoeGbZmwDay59/6/T74Az4MLU3nOFd6dgqObUGpXf/9uShC9AWQnp2mi38CLsnwd/Yi0HcQamMLPC0dCB04H3K4FlwQs84zjHFIgTBCBy+Av3sffJ19CPQfhr+rF1yS4TgObMuETaNp9hzHcXD6xFm89iVvxZf+/ht5gw8L84v48ue/ide+5K04dfwsHX82yXEKX/PZpgnL0GEv5VkRZAVqXROC+8+Dr6sPvs5eBPYdhre1gyqlValoNIaf/ODneNlzrseRx45tOPgwcHoI173iT3D7rXdhfo6CD6SwDZXTfPWrX42/+Iu/wPe//32Ew+GC291777244447cNttt+EDH/hAsdpItsjS0tAjCzCiETDOodQ1QFA9EJT8TyMFRYGgKDkJ4fJxbBuWrkGbm4aVSoIrKtT6JnBFAedUR30ty0GHd1x/I3RNx60f+RwA4GWvfiGCwUAm6PDut38Qtm3jr/78o/jU338Iz37+FfD6qPwUWTE/NAUuCvDVBZHWdMxMzeGSp1+4rX0KXnf4qxlLQ67Nfgrd1NyAkaHcEQ+OZSE9MwUpENrwCCkpGEJqYhRmMg7JR0+/9jouyeCSDGnVyAfHsmCmU0jPTkGQFQiqF9rCLBxDh+j1QwqGoS/OQ/B4wUNhWLoGIxqBvjgPcA61vhGixwsu0ZDu3W456PC/XvsuxKJxfOsr3wcAvOPP34ia2jCAlaDDN//pewCAt7zuXfjqdz+HfQd7aaTMOhzHga1r0JbK3DJJhqehGVxR3MCgrrmBZEOH4PVDqa0HlxUw5l6LanPTgONAqamHENj6VEBSOstBh08tXZO+4/ob8aVv3YYLnnIIklz4vD5weghved27MD+3iB9/7z8AAO+56U9QW1dTlnaTnWVDgYeTJ09CWiOh07IrrrgCV1xxBQwqv1hxVjqF6MBJOKv+FkY8CjlUC09za8Hgw0Y4jgMzGUfs7CkAS08LkgnoC3PwdfVBDoTAOKUPyefcoMOy5eDDS665Eo8/fDQTdADcz5uCDySf+aEp+BtC4ALH2NlxwHHQ2LT1xJKAO+IBAIx4buChoakOQ3kqW6TnpuE4NuTwxi80BNUDJkrQ5mcp8EByOI4DIxFHfPAU5HAt4DiID57KrDeTCaTnZ+Dv7EVibAiCqiI5OpRVoSkej0IK1sDX3klTBnexc4MOy1YHHwBkBR0AIBaNU/Bhg6x0CtEzx4HMSIcEjMgCPC0d4LKMxNCZzLZmMgFtbgbBfYeQHB+GGV8Z0Wkm4uCKikDPfsrxUEXODToAgK7p6wYfVgcdllHwgaxlQ3eHGwk6bGd7Uly2aSA1PZkVdFimR+Zhm9sLDDmmgfjwADJBh1USIwPb3v9uVSjosOzB+x/NGumw2nLwgaZdkNXmBydX5XcYB2MMdfWFk+9tBJdFMIHnLanZ2FSPkcHsqRaObSM9OwXJH9zUzR1jDJI/4NZ6p6la5By2oSMxMgAAkMO1SE2N59nIRmpqHN7mdhjRxbxloY3oAqx0bs4SsjsUCjos+9ZXvo8vfe4bePLxE1lBh2XLwQeadlGYbRpIjA6uCjqsSE2MgOWpTsFFEWYykRV0yOxPS0NfnKfPu0rkCzosWw4+5Jt2kS/osOzH3/sP3H4LTbsguTY04uFcDzzwAH71q19heno65wbpM5/5TFEaRrbOsSzokcKdXV+Y39YTRts04RQKLti2G/Cg+XtZ1gs6PO+Fz8Kznnc5/updH8vpU8uyRz5cDq/PW+pmkyqmJ9OITy+i/aJ+AG5iybqGWojSlg7rGYwxCB45f4LJ5gbMzS4gmUhmvn/awhwc03QTRm6S6A9AX5x3R2NtYIoX2Tsc04RjmeCSDHuNvFFWKgkuK9DHRwpuo83PQPT56Yn2LrNe0GHZt776fSSTSdx485/hto//Q856GvmwNse0YKUKl1G29TS4JMFe9bBLCgRhROYLvkZbmIFSU5eTPJaUVzQSw09+mD/osCzfyIe1gg7LMiMf/s+foLaeRj4Q16avUD/5yU/i5ptvxoEDB9DUlF0yjQ7WVcLJ/Cf/6m1Hmdd+vbPO+r3Isi0k4klYZv6EZ36/D4lYomDQYZnjOIgsRmFZ9IR4r1sYngaAzIiH0aFx1Ddsb7TDMsEjw4znGfGQKak5hoPn7YPjOEjPTkH0+sG3MGxWkBVwSYa+OE+BB7KGbZ5T6MnqrmRZFtJpHeY5iXDziUXj8K0RrDd0A+m0BsuyIIrbC97uPuv0H8cBkOf6f62XrXOdSsrDtu0NVaKwzKVrWNuCYAvQdQP6BhJPLi5G172uJXvLpifi33HHHfjKV76CY8eO4de//jV+9atfZX5++ctflqKNZLMEYc2L+LXqoG8EEyQwocCJmXFK5JWHqqp4+hUX4XP/9EkIeaqE/OSH/4nTJwdw8yfet+Z+Pvjx9+Kl11yFQDC39BzZW+YHJyHIIry1ATgARkfGt53fYZngkWHmG/GwtP+RIXfYuxmPwtbSkELhLb+X6PPDiEbgOHRxQlYwUQTjAmxDB1cK57URVA9sQ4cUDBXcRqmlMpu7kSiKOHT+PvzjPbfD4ymct+rqV16FV1/7cnz8g/lH5Kqqgn+853YcvmA/BR3yYKK4Zl4wrnhypjkZ8dia5wU5XAdGeVcqLlwTwhvf9jq8/X+/seA2giDgc//0STz9iougqio459h3sBdf/e7n4A/4Cr7uuS94Jj70yRtR37i9Sltkd9l04IFzjmc+85mlaAspEkGS4GlqBctzgyv5g1t6MrkalyT4OrrzrvO2dYDTiTsvRVXWDD40NNbh+S/8A3ziM/krwlDQgaw2PziFQHMtGGOYm5lHOqWhoak4J3jBI8NMaDmjo/wBHzxeD0aG3DwP6dlpcFmBoG494ano88OxLZiJwkOlyd7DJQne9i4Abp4Gpa4xdyPG4GlqRWpqDEq4DizPuUf0B8C38f0k1W294MPVr3oB3v/X/xsHz+vHS6+5Kmc9BR3Wx0UJ3vZuIE/wTm1ogWPljjixDR2izw/BkzvKhEsylNo6CgZWiXBNsGDwYXXQQVFXplCvF3ygoAMpZNOBh/e+9734whe+UIq2kGKSZAT6DkKpbwRXVAgeH3ztXfC2dW2rogXgTqkR/QEE9x2GFAqDywqkQBCBvoOQQzVgVE6zoELBh3f8+Rvxhre+DvWNtXjei3KDDxR0IOeaG5hEoDEMABgddkcgNDQWb8SDY9mw0tlDKRljaGqux8jQmFu6MBaBFAxv6wKSywqYIEKPLm6z1WQ3YYxDCgQR7D8EG4Do98PX1QfRFwCXFcg1dQh074MWWYAcrAGXFQT7D0FtbFk653nha++Gv6MHAo3C29UKBR+uftUL8P6bb0BdfQ3q6mtx483vxMte9cLMego6bJzo8SK47zDk2nqIgSCkYBj+nn1QG5og+vzwd/e7fVNRIIdrEew/BC4p8Hf1w9vWmSnl7mluQ6DvAATKA1ZV8gUfCgUdlhUKPlDQgaxl00fa97///bj66qvR19eHw4cP51Sw+OEPf1i0xpGtEwQBtiNBqW+CUlMHgIEJIri4crNrmwZsXYeZTIBLEgTVA8e23XJHkuTWRpfkvDcVnAvgHi987T1upmPOwfM8xSe5Vgcf3vXWD+Ctf3Yd3vDW1yFc49a29vu9meDDB9/3SQo6kBzJhTjSkQSCLe60qdHhCaiqAn+w8LDHzVguqWnG0xA92Tdt9Y11GB4chTY3A3AOyb+9UpiMMYheH4xoBGjd1q7ILsMFEY5gQgnWwNJSEBQVvvYuMC6ACQIc24ZP7QAThEwJZ09TC9S6RoCBSmjuIauDD297/Xvw/Bf/QSbosGw5+AAA//Uf/5eCDpvAOAdjHEq4bimhq+wGDziHIIoQZAWCxwfYNpggZEa+2gCkQMgdFec47jUlPZyqSsvBBwD4yp3fXjPosGx18OEtr3sXLr38qRR0IGva9NH2Xe96F371q1/hec97HurqaKhUtbINHYmxERjRVUljGIOvsweyPwTHthAfOgszuWp4M+PwtXdBj8y7w545R6BnH0Rv4WzgXBAACjhs2nLw4Ye/uBs1teFM0GHZcvDhZty89gABAABJREFUX3/1TdTV11DQgWSZH5wEAASb3cDD2PA46puKdzzOBB5iaaAh+7vZ2FSPxx9+Etr8LCR/MHPDt63383phxCKwNA2CQk/CiMtMJREfPJWVLZ9LEvzd+yBKUt7vHmMcTNr+d5LsPMvBh3/+9y8jEApkBR2WucGHP8Pb//yN6OhqpaDDBllaGvGhM7DSK0mHGRfg7+kHPD5wziGc8yDStkzoC3NInlNxRqlrhKexBZwqWlSd5eDDy/7whWhta1oz6LBsOfjw7X/9Ivx+HwUdyJo2fcT92te+hh/84Ae4+uqrS9EeUgSO40BbnM8OOrgrkBg6C/HABUjPTWUHHQDAsZEYHYS/qw/xxGnAthEbOIXQ/vNoWFwJKKqCnr7Oguv9fi/8fiqZSXLNDUxACXig+N2568PD42huyTMHfou4JIBJAsxE/gST+7ub4Fjmmgn9NkNcmgdsxCIQlOL9HmTnsrQ0EiMDWUEHALANA4nhs/B392972iDZfURRRPca51UAS1MvqLzfRlmGgeTEaFbQAYD7AGvwNIL9h4A8fdHWtJygAwBoc9OQ/IEtlWAmpReuCeY8DFsP5xzdvWv3O0KALeR4qK2tRV9fXynaQorENg2kZ6bWWK9Dm5vNv9JxYGtp8OVAg22vWb+ZEFJ+c2cnEFga7WAYJqYnptHQWJxSmsvckpq5gYeGpjpc/aLLYDGhaAFJxgUIqgdGLFKU/ZGdz7GsnBudZZaWhmPlL01MCCkuxzJhFMjB41gWLC33POHYNtKzha9DU9OTsM31yzESQnaXTQcePvKRj+DDH/4wkkm6Ga1aDuCsdUC3HWCN0nW2aWaVyzz3iRMhpHJsy8LC0DRCS/kdJsenYNsOGoo8vFFQJRh5Ag/tbQ245Cn7MZ8o7nFB8HhhJGJUVpMAcG9ctrOeEFIk6xyTbV3PWeY4zprXjo5pAOdUTSKE7H6bnmrxuc99DmfOnEFTUxO6u7tzkks+/PDDRWsc2RrG3WRtZjKRfwNBAJcV2LqWf7XqgTY/k/m36KXh/oRUi8jYHCzDXMnvMOLme6hvKP6IB30h9xjSXh9AKq1haHQRvecfLNr7iR4v9IU5mMkkJB/lNNnr1ivLTGWbCSkPN5mrmLdsJoC8JTMZd6vSmIlY/td4/ZQfjJA9aNNn7le+8pUlaAYpJi5K8LS0I3bmRO46SQKXZHhb2hEfOpOzXlBUwLEzw1iXK1sQVzKRgupRwIuQUI+QrZg9OwHGOfxN7vzY0eFxBEMBKHlq2G+H4JFhjszBcZxVSSsdBCXgyJOjmFzMHQ2xHVxRAc5hxqMUeCAAFyDX1kOfz50WKNfUA5QZf89KJJLw+eiBSLkwSYansQXJidx8DaLXlzdJJGMMcrgW6ZnJ3GlRjMHT1AJOfZisIZlIQVYkSgC7y2z6r/nhD3+4FO0gRSaoXvh79iE5NpwZ2SAFQvC2dkCQJDB/AL7OXqQmRpaGwzFIoTCU2nokhs8CSycNT1MbBR6WxGNx/OI/foND5+/H/oO9FHwgFTF3ZhyBphoIS6VxR0cmUFfk0Q7AUmUL24GVNjIlNVUOSBw4MzyFWKq4Uy0YYxBVL4x4FJ4mqqu51wmyDE9DC7ggIj03nSnbrNY1QqltgCDTeWkvOnNqEPf/z0O4+pUvQCi8uQR4ZGs455BCYXgZQ2p6HI5puteIoVp4mloL5vrhkoxA30EkR4cyycwF1QNvWxclLCdrSiZS+O2v70dTSwPOu/AABR92kU3/JR944AHYto3LLrssa/n9998PQRBw6aWXFq1xe5FtGLCXhrNxQVjzpt9xHDjL2zPm5mVwHHc4HGMQPV4E+g4AlgUwDiYK4Eu5G7ggQgnXQvL64dhL6wUBjmMj2HcQ4BxMFCkivSQei+M//vWX+NgHboM/4MNXvvs5Cj6Qipg9M47a7ubMv8eGx9G/v6fo7yOoSyU14+lM4CEgOjBtIKXbmJ6cWevlW3tPjwfa/Cwc26Ja77uMbZpwLBOObYMJAriYvxwm4OYxcUwDjmVBrq13Rzg49tJ5TIRAF6F70plTg3jLa9+FxYUI0ikNr772ZRR8KAHb0GEvBRe4IIJLEgRZgROuRcAfWOmLXFgzAOgGkz3wd/dnpmkwLlAZTbKmZCKF//ere/GX//ujUBQZX/7OZyn4sIts+q94ww034C//8i9zAg9jY2P41Kc+hfvvv79ojdtLHMetHhEfGYS9lCGYSzK87d2QvD6wc+bC2bYFMx5Hcmwwk8BHUFR4WtqRmpqAlUpAUD3wdfRAUD2rhkpn4/lOGnROyLI66OD+O4E/ft27KPhAyi65EEdyPoaeZ5wHAEil0pifWyxJ3WzB4x4IzEQaaAiCwYFfdBA3gXBNCI8/ehS27YDz/MeWrb2nF3AcmIkEpADdUOwWlqYhMTqYme/NuAC1qQVKTR24mH3CsXQN2vysmxF/KYGk5A/C29ZJ5TP3sNVBBwC4/da7AICCD0XkWBbMZAKJ0UHYhpswkisqfB3dYKIE/dx+GQjC27p+v+SiCNBNI9mA1UEHx3GQTmt4+7XvpeDDLrLpO6ajR4/i4osvzll+0UUX4ejRo0Vp1F5k6zqiZ05kgg6AG3WOD5yElScJpJ1OIz54KitrsKWlER8+C0+zO0zZSqcQO3MicwIhm3du0GFluRt8OHn8LGzKrk7KZPbMGAAg1OoGGsZHlxJLliDwwEQBTOSZkppeAeAMSFkM4ZoQTN1EZDFa1PfkkgwmCDASxd0vqRzb0BEbOJmVZM6xLaQmRqFHFuGsymxv2xb0hTmkpycyNzcAYMSjiA+dgaXlT4hMdrdzgw7Lbr/1LvzgO/9W9OPQXmXpGmIDJ7OuGW0tjdiZk4Bp5PbLGPVLUjznBh2WLQcfnnz8BEwzf4JTsnNsOvCgKAqmpnJr805MTFAkaoscx4E2P1uwtFBqegL2quQ8tmUhNTWef2e2DTMehegLuPu2rYL1l8naCgUdVtZT8IGU1+zpcXhq/JB97hOmsZEJMMZQVx8u+nsxxtwEk3H3otIv2tBtwHQYwjXuE8bpqdzEf9t+T9UDI54/EzrZeSxNK1hBKTU1DntV6WdHN9wnqvn2k05REH0PKhR0WEbBh+KwLQup6Yn8Kx0b2sI8pEAoZxX1S1IMhYIOyyj4sHtsOvDwwhe+EDfddBMikZWTwOLiIj7wgQ/gBS94QVEbt1c4tp1JvJOPlUoAtrVqewtmKllwezOVgqCsJO4x4rG8HZms7diTpwsGHZbFYwm89Y/eTRc9pCymT44i1Fqf+ffYyCRqakMQSzRnVlBlmPE0GBx4BXe0AwCEatzA5kyRAw/ue3phJRNu7hmy45mpAmWdATimkfUE1VlVUSnvvtKFz3tk91mYj+Dt1723YNBh2e233oWH7n8M1hrfHbIO23KvNQuw0knwAgkhrXSqVK0ie8TI0FjBoMOy5eDD4vzaxwNS3TYdePj0pz+NkZERdHV14XnPex6e97znoaenB5OTk7jttrVv0kh+jLGCB3QA4JICML5qe75m0kkuyW5ioCWCohbM8UAK69vXhVe+9iVrbsM5x8dvuwmqShmaSWlpiTSi43MIt68OPIyXpKLFMkGVYCbS8AnO0jQLd7koSgiE/JiZmiv+e3o8AAAzUTgYS3aONbPXcw6sOjcxxrL+val9kV3H6/Pgk5+9GaK4dqLZK1/8bDzl4vMgCJSQdsv4+teVjpm/ktFa16+EbERTcwPe9PbXrbvdzZ98HzxeTxlaREpl04GHtrY2PP744/jbv/1bHD58GJdccgnuuOMOHDlyBB0dHaVo467HOIda31RwvaepxU3Os4SLIjxNLQW3l0NhGLGViKBSU/z533tBbV0N3nPTnxQMPnDO8dm7PobLn3UJHQhJyc2eWsrv0LYSeBgdnkR9KQMPS1MtfKID3QYsZ+WmMBQOYma6+IEHLslgXIBBgYddQfB4C1YoUesaspJLMlGCHMr/fWaCSMkl9xhFkXHR0y7AP3zt7woGH6588bNx88ffW9IA7F7ABRGexsJljJWaeujR3CfNTBSzRtgSshXh2hDe+s7r8eZ3/FHBbT7+mZtw5YueDZ/fW8aWkWLbUlIGn8+Hd7zjHcVuy57GZRm+jh4kRgezcj14mtsgqLmdTPT6oTa2Ij29KtcD4/C2tENfnHf3wTn8nb1rRrHJ2paDDwDw4+/9R2Y5BR1IuU2fGIEa8sET8gEAYrE4YtEYGkqQWHIZ98hgjgOv4CBmZsepwzVBTE8Wf6rFcp4Hk/I87ApckhHo3Y/YwKlMST0AkIJhKPVNWSU13aB6K2xTz/r7M1FCoLsfjM5le87q4MOfvfkvYJor0yko6FBcgscLT3MbUpNjKwsZg6+tC0xWIPp8efslBQRJMSwHHwDga1/656x1FHTYPTYUeLjvvvtw+eWXb2iHyWQSAwMDOO+889bd9s4778Sdd96JwcFBAMB5552HD33oQ3jJS/I/Yb777rvxlre8JWuZoihIp9N5t99JuCBCDoUh+s6HpaUBx3GnSIgSeJ7hg1wUoTY0QamphaWlV6ZrMAbR54fa0OKW4OTMTd5lGu5Fm+PAsS0wMDBRXHcKhm2ZgGUDnOWUPdsrzg0+UNCBVMLUiRGEV412GB9xK1qUeqpFbXsYnDGkz5k+HQ6HMHh2pDTv6/FAm5+FY9tZN6Zk53GTlHoR3HcItqHDMc2lc5uYW0rTNAA48LZ2AXBgpVPgogQmSeCMA7blJlp2HEDg4AIltN4L8gUfKOhQfFwUodQ1Qg7VwtJSAGMQFBVcFMG4AF97tzsH37EBMDBBgLAqGGjp2tJDLwFCEfIO2aYB2O5DNE7J6/eEfMEHCjrsLhvqyW984xvR29uLt73tbXjpS18Kn8+Xs83Ro0fxzW9+E1/96lfxqU99akOBh/b2dtx6663Yt28fHMfB1772NVxzzTV45JFHCr4+GAzixIkTmX/vptwFjAsQZGHD81i5IACCAEFRYds2HF1DamoCRiwCxjnkmnrI4RrEhs5AkFV4mpqRnpmCGY+CCSLU+ibIoXDeERG2ZcHW0khOjsJKJcElGWpjCyR/YE8GIJaDD1zgeM6Vz6CgAymrdDSJ6PgcWi/oySwbG50E5xw1deGSva/gkVHfWwvdsGA62f0+VBNCPJpAOqVB9RR3qK2gegHHgZmMQ/IHi7pvUn6MMQiyUvDcZts2bF1DemocRjwGJnAotQ2QgmFYqRTSk6PulEEH0OamYZsGBI8P3pY2CLLqBtnJrrY6+PD9b/8EN/3NuyjoUAIr15XZfdXSddiGgdTUOKxUAlyUoDY0A3430bCZiCE9MwXb0CF4fPA0tYLLypYCELZpwkwlkJoch62nIShqZvQvBSB2v9XBh30HeynosMtsqAcfPXoUd955J26++WZcd9112L9/P1pbW6GqKhYWFnD8+HHE43G86lWvws9//nNccMEFG3rzl7/85Vn//sQnPoE777wT9913X8HAA2MMzc3NG9r/XuLoGqKnj2cywTsWkJ4ehxFbRKCjB7ZpIHbmRGYah2NZSI4PQ48uwt/RA37OycFMxhEfOJX5t2WlkBg+C6WuEZ7m1j35pKm2rgbv/st3QPUoFHQgZTV90h1ZUNPZmFk2PjKJ2vqakiZU47KI+lY/4jEd8GQfI8K1bkBgZmoWHd1tRX5fGeAcZoICD3uBraURPXM8U+HCsYDU5BiM6CI8LR2QvH6YyQT0hZWcImY8iuipKAK9++k7skcsBx8OHOoracCV5LLSScQHT6/827KQGB2Et70bVioBbW4ms86MRxGLR+Hv7ocghTf1Po5tQV+cQ3J8ZTSdmUwgdvYkvO1dUMJ1NApuDwjXhvDH77wOkixT0GGX2VDvlSQJ73rXu3DixAnce++9ePvb347zzz8fbW1teO5zn4u77roL4+Pj+M53vrPhoMO5LMvCPffcg0QigSuuuKLgdvF4HF1dXejo6MA111yDJ598ckvvt5vYponU9ETe8nNWKglL19ykQHnK1JjxqDs8bvVrDB3J0aG876XNTcPZwzV0a+rCFHQgZTd1bBjeuiAU/8p3b3RkHHX1NSV9X68qQPHKiM3lljGsqXFrupciweRyngcjQXkedjvLMNw55avKai4zkwk4lgkxEMwKOqyWGB2CbeilbiapEooiU9ChzCwtnRUIWI2LUlbQYbXk+DAsTcu7rhDbNJGcGMu7Ljk+4k6/IHtCTW0Yfgo67Dqbfmx96aWX4tJLLy1aA44cOYIrrrgC6XQafr8fP/rRj3D48OG82x44cABf+cpXcOGFFyISieDTn/40nvGMZ+DJJ59Ee3t73tdomgZt1YEvGo0Wre3VwrHMrCoW59IjCxC9udNjlhnRRUg+/6r9WWteyJmpJCUTIkWxF/rndjmOg8mjQ6jrXhnp5QAYH53EUy85v6TvHfCKMA0LsbkEatobstZ5vCpkRcJ0CUpqAoCoeqAtzMNxbDBGT7gqoSz907ZgxArv14jH1px+aOsaHMsC9t4MQLKHlfPc6dgWbD03gMAlCbZWOMearetLCWU3PhXPMYylHBL5dmi7D76ofCchO1bFr+YOHDiARx99FPfffz/e+c534s1vfjOOHj2ad9srrrgCb3rTm/DUpz4Vz3nOc/DDH/4QDQ0NuOuuuwru/5ZbbkEoFMr87NqSn2tcmDPG4eR5mrTy0uyh2uvlzaBhbqRY9kz/3IbY5AJSC3HUdK+U3I1FYkjEkyWf4+z3iogvpmEl8wUiGUI1IcxMFb+yBQAIqgdwbFjJ3NEWpDzK1j954XMOYxxY75yzi3I9EbIR5T135u9fjuOs2Xfdl26yb663PfV1Qna0it9ByrKM/v5+XHLJJbjlllvwlKc8BXfccceGXitJEi666CKcPn264DY33XQTIpFI5mdkpDRZ2CuJSbKbeKsApbZuzREMUiicvT9BhOApMEJiaQg0IcWwF/rndk08OQguClkVLcaWKlrUlzDwwDngUTiScR1WKv/xIxwOYrpEgQeuqABjMBLxkuyfrK8c/ZOJEpRw4fOXFAwuJZTLf8Mhev1gezDnENnbynru5Byi15+z2DFNNzl5gWCA4PVtum8yUSr4Gi5JezK/GCG7ScUDD+eybTtr+NhaLMvCkSNH0NLSUnAbRVEQDAazfnYbzt0M4PkCAnJNHRzbhhKqyVu9Qm1qzUksyUURvo7uvJnCfR09Jc0qnIgnMT+7kPl3LBrH3Ox8yd6PVNZe6J/bNXFkAOH2egjSSr8bH52AIAqoqQ2V7H39HrfcbjJlwDEsOFbuqKlSjnhYzvNgUp6HiilH/+SCALWhyS0Hfe771zXCNgxo87PwtuZOp2SCAG97F2W6r2KJeBLzcws5y2en5zFbgvwwe0U5z52iosLb1pn3mtBxHPjau3OWM0GAr60Lgpx73bkWLknwd/XmBjMYg6+zD6wIZTpJeZmGicWFCEwjNz9cZDFKx4E9pqKBh5tuugm/+c1vMDg4iCNHjuCmm27Cr3/9a1x/vVtG5U1vehNuuummzPYf/ehH8fOf/xxnz57Fww8/jDe84Q0YGhrC2972tkr9ClVDUBT4u/rg6+iBFAzj/7N33uFRVG8DPTPbd9N7QiihF0FARbFhL9g7CIKACNJ7LyK9F6WJAjawY/v8iYIKKthBQEA6Ib33ZOt8fyy7ZLMlCWQDhDnPk0czbW9C7tw7Z977vuqQMAIbN0cbEY21rBSrsYyAhGYYGjRGFxOHLiaeoKat0IZHeTTICo2WoGat0cfVRxUUjCYimqDmbVAFBbstzagpiotK2PbNTp68vy+nTpyhqLCY//vsO7o/NIAzpz0nG5KRqcuYS41kHksmrJFrJZ/kpDTCwkPtpc/8RIBOgclsw3q2v1vL3KMeQkODyM7KxWp1T2xbE9jFQ5E9pFemzqLQaAlMaIYhvlG58asF6rAIFBot6pAwRI2OwKat0IRHoQoMRh9Xn6BmrVHKEXiXLMVFJfzw3c88cW9fTh5PdG7Pysxh5uTFzJiwSH7ouEwQ1BqCmrRCH9/QPoeMjSeoaWsUOgPKwCCCmrVGEx6JKijYOb8UzyMXmCAIKPUBBDdvYy/hHhiMNjqO4OZtUOr0lS4Flrm0sJgtHNh3mAdufZb9/xxykQ/5eQV89N4X9Hl6GClJaRexlTK1yUV9TZCRkUGvXr1ITU0lODiYdu3asXXrVu6++24AEhMTEcut7czNzaV///6kpaURGhrKNddcw65du7wmo7zcsFnM9lrmudlgs6EJjUCh0TgjFaxGIzZTGcY8ewSAJjQCUa0ul3hLQFCpUYdFIAgiglKFzWjEaixDUChR2myIKjXmwnz7GyJRdLHKVmMZluJCzEWFiCo16pAw1CHhaMIiQRDO+4Zfml+MqbjU5zGSWsmOH39l6ui5APR9ZhivvjmXt17/gLSUDPp1G8Gb7y+jfsOaLdsnI3Mpk3YwEclqI7yxa1RXcmIqEX6uaGHQKykzWlGo7cOEtdSE0uA6kQwODcJmtZGbnU9EVM0v+1BodZhys7GWlaLUydmt6zIKjRaFRosqOBTJZsVcWITNWoI6MAibyYS1LA+FVocmIgqrsQwksJnNlGVloAoIRKHTIwCWslJMeTkIogJNaDiiWiNHRJSjsvFYbdChC/aejLqqOKTDpBGzAejz9DA2fLiC4JAgZk5azA/f/gzAjAmLmD5vDBFR3pfbyFx8FAoF1rMVJaxlZYgqDQggSBKioMAmiiiDQkCSEEUFCAKiKGI1GbGZTZhys5EkCXVIGAqNBoXau5QQRBGFRos+ph6SzXbF5hWryty5pvqrP3BIhxe6j8RkNNH/2VGs27SEtle3ori4hI/e+4IVC9YBMKDnaNa+u5i4+JhKripzuSNI5/Eqafv27Wzfvp2MjAxsFZIWrl+/vsYa5w8KCgoIDg4mPz//kgrrtpnNlKQluZUMUwYEEVC/EZJNojj5NJYi18zFquBQ9LHxIEFR4nGspfZEbAGNmlKaloy1zPWmpY2MQbLZMGZnAKCPq486NByb2UzhySP2jMLlMMQ3QhUY7LYcozrkp2Sx9ZV3ve6vd31LMg02po2d77I9IiqMmQsnMGvKUpLPpBITFyXLhzrOpdo/Lxa/bfiGrOOpXPfcXc5tEjC070Suub4dnW+5zi+fq1IKtGgYQHq2keJSC7l/niCoTTz6eNeHg9ycPN547V1GTxlE67bNa7wdks1G0alj6OMaoI2IqvHry1SP2uiflrJSCk8cQaHTo4uMofDkUdcs94JIYEIzSjPTsJaWEFC/EUWJJzDUb0xperJzDHSgjYyxL+VQyiHaUPl4fO+0ngTHRXjdXxUqSgcHYRGhLF41g6lj5pGUmOLc3uXOG2X5cIH4u286+qVUoZyloUFjBK2eoiMHXLYLSiVBTVpSmpHqPq81BGKIb4RCI1en8EVlfRVqpr/6g4rSwYFao+b1dxeTdCaFKaPmupzTMCFelg9XANXWiDNmzOCee+5h+/btZGVlkZub6/Ilc35Yy0o91im3FBVgLSvFXFTgJh0AzPm5WE0mjHnZzgmXKigYc2G+m3QAKMtMQxUY5Ix0sNdFtlCaesZNOoC9Rrq9HJJ/qHd9S1KEUjfpAPY1oFPHzmPKrJHUqx/rjHyQl13IXAnYrFZS9p0goolrtEN+bgGlJaV+TSxp0CmQJIkykxVBEBDUCo8JJoOCAxFEgUw/hUsLoohCq8Ms53m4IrCaTZSkJCJZzOiiYik+c9K9tJ5ko/jMCfRRsUgWM6UZaeii62EpLnSTDmAf82wm78mVZWoWb9IBICcrl9GDpjN55gjiG8Q5t+/YvktednEJYzUZKUlOdJMOAMVnTiLi/v5SEJVYjWWe57XFhT5LwMtc3niTDgAmo4kXe45Gp9NyzfVXu+w7fTKJAT1Hy8su6jjVFg9r1qxh48aN/Pbbb3z22Wds2bLF5Uum+kg2G2VZ6d73A8acTO/7LWZM5farg0Ix5XlPyGguzEdpOJehWLJYfNRRl7CUFHu91oXgkA4zpy/zeoxTPsweJcsHmSuKzCPJmEtNRDSJc9mekpQKQESk/94OGrT2/A6OgDZRrfKY40GhUBAUHOi3BJMACq0WS3GhnOfhCkCyWrEUnZNM3qox2cxmpLMPO5biQhQ6PaY87w+tZdmZ8t9PLeBLOjjIycpl8ui53uVDpiwfLjUkm9V7kl9JwlpWgjrcNSJNExmFMcf7uGDMycRqqloieZnLB1/SwYHJaGLiiNk8+/zjsny4Aqm2eDCZTNx4443+aMsViyRJSDb3jPHnECrZj2vGeVHwmIHeeazNZq+Nfq4BPq9t81PiuNBmsWzf9nOlx2Vn5pKelkmTZo0AyEjL4szpFI8ZcmVk6gpn/j6KNthAQFSIy/bkpDQUSgUhof5biqLXKSkznbuHKDRKryU1g/1YUhNAodUjWSzY5Elq3af8WFQx0sHXsUi+xzw/Ru3JnKOszMjWL3+o9Ljc7DxSUzJo2iLBZfv+vQcpLSnzV/NkzpdK5oiS1YZYoXqFIIhINu9zR8lqxUOghMxlTnFxCbt2/uFVOjgwGU3s+fMA7a+5ym1fclIaaanuS/ll6gbVFg8vvPACmzZt8kdbrlhEhQJ1iPdEcZJkQxXoo2yeIKIMPPcQYikpQRUQ6PVwlSEQS7mQVEGh8FjK7Nzx7vWba4KD7+9k2Eu96XzztV6PEQSBSTNH8Puuv9n5/W5EUWTFG3PoeF07lCo5YZhM3cRmtZG05xiRTePckrqmnEkjPCLUbwm3lAoBjUqkzHhu0BfVSqyl7mG2ACGhwWSm++8tpUJrT0JmLpKXW9R1BFHhTKYsKJTuJfWcBwr2/YCoUiNZbS5jYEU0oeFyNvxaIDwilOnzxtDlTu8vpwRBYMKMYfz9+z5+/O4X5/aw8BDWf7hCzuF0CVK+X3pCqTdQluoahWouKkAVFOL1HFVgMIKc9LXOERwSxLPPP06/QT18HvdMr0cJCw/hzVXvuWxXqpSsfnshV13d0qW4gEzdoUq9ftSoUc7/t9lsvP7662zbto127dqhqpB0cMmSJTXbwisEewJHtVtoqaBQoNTqUKq19qzAFd7ciCoVSq0WRVSsfc2czYYpNwtD/cb2ddEVTLXibGZ4x1o9pT4AUalCH1efolPH3NsVFIzgp6RcNouVg5t3MHxQb0SFyC87fnfZ75AOe/7cz9efbXNKh043dkSrq1pSory8AkxlRqJiIv3xI8jI+IXMI0mYikqJbB7vti/5TCrhEf7L76DX2stnGk3n3laJGhU2o9l+P6nwABcSGsTRw8c97aoRBNEuRi3FRRAu9+O6jEKjsY9Fp49jKshDGxVHWbr7sjptVCymAvsacV10HKXpKehj4pxjYHlEjRaF/tLM+l4XiYgKZ/q8McyYsIgd23e57BMEgYmvjGDf3//y1ZZvndtHT36J2++5mQaN3O93DvJy8wkJ9fECRsZvKDRaZ7+siDo4FASRiuEL5rwcdFGxGL3Ma7URUX4tBy3jH0pKSjGbzASHeBe9IaHB9H7xGQA3sQDQ96Vnqd+wHjMmLHTZ7pAOHa69CrVaTUZaJmqthhAfnyVz+VElnbRnzx7n1z///EP79u0RRZEDBw647NuzZ4+/21tnUag1BDZpgSY86myZSxF1SLi9FrJKjaBWE9SkBeqQMPtNXhRRh0UQ2LgFCo0WUaMlqElLVEEh9qRwWWkENm5uj5Q4+3ZIGxWLPjae4tQzCEoluug4Aho2RlSpUOgNBDZugVIfYC+DpFKhi4lHH9cAhdq76b5QHPJh+uzR3HTb9c7tgiAwbe7oC5IO+XkF7Prxdz5493O/hoLLyNQ0iX8eQRtsIDDaNRJKAlKS0/yaWFKvVWC22HBZvaVWgATWMveoh5DQYEpLyigpdk/sV1ModDosxd7y0MjUJRT6AAIbN8dSmI9Cq8PQIAGFRgsIKDRaDPUTUGj1WArzCGjQBHNxIaJKiaBSE9S0FargkLNjngJtZAyBCc1R+HhbK1PzOORD+cgHQRCYv2IqN956Lbt++sO5ffKskaSlZnLq+BmKizzfQ04cO820MfPISPOe60rGv4g6HYGNm6PUG0AUEVVqdLHx6GLiERUK9PUa2qMiBME5nxRVKgIbN0cTFokgKuzz2uBQgpq0RPARZStzaVJSUsrunX/w/ttbyM/zPR475EPFyId+g3rw/IBu3Hzb9bRu28K5vaJ0yEzP4oN3PmfXjt/Jq+SzZC4vqhTx8MMPla/Zk7lwFGoN+th4tJH2UjKCUmGvh4x90EarQx/XAF103Nn9KqcxFkURNPbzbSYTiAKiUoUurgE6m81eb1mhQBBEgpu1tmeqV6qc4acKpQpFgAqxQWPn2lpBpa6RUCe1Qce903pWeswrC8czbex8du34nfmvTuOqdi35/ONvEEWR2Usn0bxlY4y5hUgmS6V1i/PzCvjlx9+ZOGKWM6nYM889SlT0pVd2SEamPFazhaS/jxDbtrFbeHhebj6lJWVERPlXPJTP7wCgUNujnqylJhQ614e44LO5JjLSs0gIaOCXNim0esz5eVhNRhTyhLVOo1DZxyV9fCNsZhOCQouhUVMECSTh7NpxyYa+fgKS1Yo6JByFWu0cDw3x9u2CYF+u4a8lSZcrnsZjm/VcnilRqSA/xV3Uqw26Ssfd8pSPfNj5/W7mr5jKrXfeiN6gY8MHy+nzzHBeGvE8x4+c4v23t/DB21tYunYW197QHkOA3nmdE8dO0+epoeTm5JOXm8+iVTPkCMaLgFKtxSYq0ddrhM1iss8nFSpnSUxteCSqoGCQQDg7/wRAoUQXG482Mvrs9woUZ/fZrFYki9nez0WFvQ+rVPKyqLMoNWrumti90mNqA4d0GDVwmj0vnSTRvffj1Yp86DeoB71ffMYZubR83WyG95/MkcPH3aTD+29tYd3KdxEEgbnLp3Bjl05y5EMdQZCqmeq5b9++LF++nMBA1xwCxcXFDB06lPXr19doA2ua2qhDfjGwWSyU5WRQlp7qXF4hKBTo4xpgys3GXFSAoFAS0KgJSp3hkp2MZWZkc+p4IgF6HQN6j2PavDGIgsAXn2xFslp5sffTxDet77NusSfpANB/6HOyfLjEqav9szok7z3GL2u+4rrn7sYQ4fo7+Hf/fyyZvZoXhvQkNCykxj9bEKB1QgDZeWYKS84t65JsNnL/Oklw2/ro4lylh7GsjBUL3uDF4b24/saONd4msCciKzp9HEP9RmhC5f57saiN/mkvqXkGc/658tyiWkNAo6YotTokyYalpJiiU8ddlh5qI2PQRkafe+CRqTL5KVlsfeVdn8fcO62nz3HXG1kZ2Zw6cYbWbVugN+ic2xNPJfPumx/x/tvnqqEplQoX+VBeOjhof00bWT54wN9902o2UZKciLkgz7mtfL+sLjazmdLMVIxZGc5tglJlv55OL8sH/Nsvq0NF6eBg0Kg+lcoHsL8wOXTgKK2uaua2XCo9NZO01AxaXdXMTTo4kOVD3aLaT59vvfUWpaWlbttLS0t5++23a6RRMtXHUlxIWVqKS04HyWqlOOkUmojos99bKDxxxGuJskuB0LBgwsJDeP6Z4eTl5jNx2EzeXPUe32/9iR+27eL1tz6k1OY9Q7k36QCw7tV3+OCdz+RlFzKXNKd+PURAVIibdABIPpOGQqn02+Cr0ygQBMElvwOAIIoIKoXHBJMarRatTkNmmv8STDoS4FqKivz2GTIXH8lmoywzzUU6ANhMRgpPHMFqMmEzmSk8ccQt31FZZpo9x4PMJUVEVDjX3tDeRTqkp2bw1uvvu0gHAIvFysgBU/jz170kn0l1kw4Ae//6lzGDpsvLLmoRyWajLCPNRTrA2X550t4vq3U9ScKUn+siHcCee6zwxH+X9Bz1SsObdABYtWQDm9/6tErLLjrfcq3HHC3RsZFc3bGNV+kA9r+XicNnycsu6ghVFg8FBQXk5+cjSRKFhYUUFBQ4v3Jzc/n666+Jioqq/EIyNY7NYqY0PcXzTknCUlSA0hDo/N6RlOtSw2Kx8N/BYzz78EBKS+0ltYxGE/v3HnIe88O2Xcx/5TWyMnPczvclHRzI8kHmUsZYXEbq/pNEt6zvcX9KUioRkWF+i1jSa0VsNgmTxb3/iGoF1jLPE8KQsGAy/dynFFqtPWGuTJ3FZjFjzPb8QClZzNhMZZiL8r2W9ytNT5EfWi5x0lMzWLvibT567wuP+x3y4cjh4zzV8xGPx8jyoXaxWcwYc7z0S7O52qWOJYuZ0oxULx9mwyJXMLok8CUdHFRVPlSGN+ngQJYPdYcqz15DQkIICwtDEASaN29OaGio8ysiIoK+ffsyePBgf7ZVxguSJGH1ceO3moyI5aqPWMv8lwTuQigsKGLUwGlO6eCN7Vt/4qcffsVicX3jZTKamTZuvtcbpIN1r75DVoa7uJCRudic+fM/JJtEdEvPuRLsFS28l969UHQaBUaz59rZolqFtcTzQ11wSDDp6f59CFBo9dhMRvnBsi5js3mVCmAfy3y9XbWZTJXe/2UuLieOnebjTV/6PMZisTJ55By693oMtdrz0pm9f/3Lh+99Uel8QaYGqKRfVls8SJKzsponLGXuUdUytU9pSSnjh82s9J66askGUpPTL+izMjNyvEoHB5IkMW3sfMxG7387Mpc+VRYPP/zwA9u3b0eSJD7++GO+//5759fPP/9MYmIikydP9mdbZbwgCAIKH2vsFFqdy8CgNATURrOqTWhYCKveWlBpyaxuzz3KbXfdiLJCDWhDoJ4Vb8xBqfKdM3XK7FFEx8rrQ2UuPU7uOkhYQjRqg9ZtnwSkJqf7vaKF0eRFPGiUXiMeQkOD/R5FpNDZ73Fm+W1Y3UW0V2zyhkKjRanxMdZptAjCpZm/SMZO0xaNGTK6r89jdDotr745lxUL1mEyeX7IuP2em+nW6zF0Ovd7pUwNU0m/FDXV/DcQBHsFDC8o5fK3lwSBQQGseWchKi/yz8GMBeOIbxB3QZ8VExvJ5FkjfR6jVClZ8cYcDIF6n8fJXNpUeYTu0qULt912GydPnuTRRx+lS5cuzq/OnTsTF3dhf3Qy54+oVKGPqedlp4hSH4ClpBiwr5VWBVy6yVmaNGvEm+8v8yofevV9mheHPueSWM9itkc+6PU62l97Fa+tn+dVPkydM5o777vV+dbYarVis3l+0PKE47NkZGqa/JRsck+nE9O6kcf9uTl5lJaUEe4n8aBUCKiUonfxoHaIB/e3HyFhQeTnFHh9SKgJRIUSUaXGIi+3qLOISpWzqpPbPo0GhVqDMiAA4Ww1p4roYuJdovtk/I+3MbFiRKKDyKhwHuv2oFf5oNNpWfPOIuo3iENn0KJQKNBo1NzzwO3OY26/52amzhntVwkrcw5RqUJ7NleY2z6Nttol1xUqNTovc1ZBoZTFQw1isViqNcctf55araZdh9asfXeRV/kwY8E47u56GwGBvv/NyiqJTAqLCOXu+7t4lQ9KlZLX1s+j/bVXoddXP5mpzKVDlcTDvn37nF/5+fns37/fZVv5L5mLg0KnxxDfyGVCJqo1BNRvTGl6sv17jfZsbeVLu6Z5TGgoK9fMcpMPvfo+zePPdGX/P4cpKbaH4p05ncxvu/52hlv6kg9T54zmmuuvJvlMKhaLBavVyuF/j/LfwWNVujEby4z8/useEk8l1dBPKiNzjlO7D6LSqglP8PzglXImDcBvk22dxj4cmLwstVBoVGADq9H9gSLkrAjMSvdfgkmwRz3IEQ91F0EU0YZF2uVDuaz2Sn0AgY2aI6rUiCq1fRwr/5ZVFNHHNbhko/nqKiUlpez66Q+SEl1zTGVn5vDFJ1vJycr1eJ43+eCQDq3btUCpVtGsRRMWvDaNea9OpWOndgwa1VeWDhcBQRTRhkfZ5YNbv2x6XnNKVWAwuth4l0gKhVZHYJMWcsnkGsJisXDowFGOHj5RLfmQkZ7F/322jbzcAp/yoarSISU5nS8+2UpKkpe8HmfxJh9k6VC38B2Tfpb27dsjCAKSJFVa4sZqtfrcf6Vjs1rt2bglyZ6pvULpL5vVgmSx/w4FhQJJsoHjd6pQoPBygxcVStSh4SgNAUhnjxfOLkUw1GsIgoioVF4Wb4NsVitJ/9vDyjWzGDxwCnm5+U7pMPTFySQlpjD/1Wm0bd+Kft1GkJGWxbLXZ3H9zdeg02ld5MOQvhOwmC1O6fDcY4Mwm8y88f4y9HotfZ8ZgSgKrP9gOS1aN0X0Ek5oLDPy+649DHthEhGRYbz5wTIaNIqv5d+MTF3FZrVy6teDRLWsj6j0/DY3JSkVlUpJcEigx/0Xik6jwGqVsFg9r+cUNfb7ibXUZJcQ5QgNtUdRZWRkEVffszipCRRaPeaCfGxm0yUvUGWqhs1icY5ZAJJkQxMeiTo03D72iQrn2CXZbNgsZgRRJLBRM/vaY5sVQalEVKou2TLRdZGSklJ+2fE7Y16aTlx8DOs2LSG+QRzZmTksnLmSrz/fxqNPd2XE+BcJ85CXJjIqnEef7ooErFy83kU6FBeV8OrCN/hk85fc0/U2Hnj8Hha+8hrP9XuSia8Ml6XDRUBUqdDF1EMdFoFktdr7mkJx3pJAVCrRhkehDg5FslhAFM9GtV36c9TLAYd06PfMcFRqFRs+XE7TFo29znEdZKRnMWnkbH7/5W8GDOtNj75PEhIa5JQPA3qOwWwyV0s6LJu7hm++/J57H7ydkRMHEhfvfY7gkA8As6cslaVDHUSQqpCJ6fTp087/37NnD2PGjGHs2LF07twZgN27d7N48WIWLFjAo48+6rfG1gS1UYfcG1ajkZK0JMz5eYCEQqe3v6XR6RBEBdayMkpSzzhLgin1AWijYylLT8FSUozSEIg+Lh5Ro3O7eUg2K5ayUkqSE7GW2pNHqoJD0MfUR6GpXXtcml+Mqdh3ciC1QYcu2PMNy3G+qFCQlpvLj9t+5t4H7uCl3uM4c9oevSEIApNmjuCfv/7lqy3fIoqii3wA+8Ro758HSElKo2Ondjz32CAKC+zl+LRaDfNWTGX9ms3s+/tfDAF63ty8lPjoKCSrqxkWtGr+2XuQYS9Mcoq16JhIWT74gYvZPy8mKftO8POqL7i2550ERIZ4PGbDms0cO3KS51542i9taBCjQ6kQSM/2nCjMZrWR9/dJgts1QBfr+iAhSTaWznudJ7s/yD0P3OaX9oH9IbU48QSG+gloQsP99jkynqnJ/ilJkn3MS0lEUCjQhIRRmpGKKiAIUaOhLCPNnkhUFNGERaKNiKIsKxNjTgbYbIgqNbrYePvxyiq9Q5HB8/gsKhWYS+35W1RaNWYPuVwEUUBUiKgNOiSV6JQOjilk/YZxvP7eEl5d+AZff77NeZ43+eCQ+WaLmZPHEml/zVX88O3PdHv+Md5cuYlPNp9LQHnbXTdy1/1dmD5uAf2HPkePPk8Q7KeSwpcr/h47rcYyLCVFlKalnOuXoRFoI6JrfY55OeJrXiwqFViMFkSF4LbdXGpCEEW3fQ48zaWL84s5fuwkLzw7irIy+3geGBTAm5uXEhcZjkqr9Tj/Li8dHJSXDyaTiX17DnLmVAp3d+1SLengoCryASAnK5ftW3+iXv1YWTrUMaokHsrTqVMnXn75Zbp27eqy/euvv2bq1Kn89ddfNdrAmuZiPdhYTSYKjx/2mJE9qFlrBIWCgqMHXd78ACCIBDZqQuGpY/aswqJIUNNWKCskk7SUllBw9BAV11+LKhWBTVrWauhafkoWW1/xnZ323mk9CY6LqNL1Ek8muUgHB4IgMGHGMPbvOeRVPhQXl5CWkkGvxwc7pYMDrVbD3OVT2bD2nHxYuXY2WT8eIi/JnqE/6qqGiC2jGf7iFLdoHlk+1DxXqnj4efWXFKRmc22PO70eM2vyUvQGHV0fvcsvbWjZ0EBRiZXcQu95GnL2nCSgcRQBCe7rfTes2Uy7Dq3p0fcJv7TPQfGZU6gCgzDEN/Lr58i4U5P902osI//oQQRRxFCvIUWnj6PUG1CHhFGScsbteKUhEFVgEKVpruOAoX4C6pCwSqMxZexUNj7fMfZpvl/4odf9d07rwd//HHSRDqIo8vL8cezY/gvbv/nJ7ZyK8qF8BKHVamXW4kn89fs/tG7bnL1/HuD/PvvO7RqyfPCNP8dOi8WCJT+XkuTTbvuUhkAM8Q1RVDfB5BWGr37XuX9Xdq/72uu51ZkvWywWDv5z2EU6OAgMCmDl2tk0blKfoGhXce9JOjioKB9MJgsBAb4TPHqSDs6fp4ryITs71xnFLFN3qHZc4v79+0lISHDbnpCQwMGDB2ukUXURS3Gh1zJwZTlZmPJy3KUDgGTDmJuDOvjs2wKbDWN2BrZyx9qs1rN5HNwdks1svqxrIiefSfUoHcD+xmze9BW07dCKBx+7B5vNxogXp/Dbz39RWlqGzWYjOTHFo3QAKCszMnH4TPoM6E67jm0oLiph8IDJRNzWipD4SKKuaoi5frBH6QCQnpZJv2dGyDkfZC6IssISUvefJKZ1Q6/HSEByUhoRUf5LLKlUil5LaTpQaJRYSz3fx0JCg8jwc0lNkPM81AUkm42ybHvkgiYskrJMeyk2TVgkpRlpHs+xFBfaH24qCIaS1CRsZrm8Wm0Q27EJf+054FE6/LjNs3QA+OzDr1k2/3VysnLdpAPA1DFzad22OXv+3O9ROgD8uG0X2/63gxkLxrHu1Xd4b8Mn5OcV+OcHlXFBsFicucIqYikuxGaVk25fCjiWV3iSDmAvWT94wGRSMrNdcj74kg4Aa1e8xXvrP3bmfLgQ6QCw9asfWDp3DSlJnu/1DsLDQ2XpUAeptnho1aoVc+fOxVSulrbJZGLu3Lm0atWqRhtXV5AkCXNBntf9AjiXV3jCUlLkUi7TUlxkXxPnuL7V6nMibirIuyxrm+dk5TKg52iP0sGBQz7cfPv1XH9TR6d8+O/QMdJSMujz9HCP0sGBQz6MnDCAmLgop3xo1f1W9O3qM27kLJ95SxzyISsz54J+Vpkrl8TfDwMQ3bK+12OyM3MwGY0XLbGkA1GtwlriRTyEBZOeVgviQavHZjJ6Fbkylz6SzYq50P7QqNDqsJTY79GCKCJZvEsEq7HMLbeHZDGDTc4t5W8imsYhNQxj7OAZLvOJkRMH8MfuPXy/1bN0cPDZh1/z1ZZvOXjgiIt0ABg4vDfH/jvJ159t83EFu3zYtfMPRk9+iTXLNvLFJ1spLfG9rFPmwpFsVpc5Z0Ucy3tlLi5JiSn0e2a4R+ngoLCgiH7dR5KWkgFATnYe08ct8CodHKxd8RZffPyNM7G7N9JSM1j32jtepYODrV/9wLrX3iE9NcPncTJ1j2qLhzVr1rB161bi4+O56667uOuuu4iPj2fr1q2sWbPGH2287BEqqVkM9hJCvvZJ5eykoFC6ZAIWBNySVJZHVKkuyzBUtVbDgOG9Kz2uZZtm6PU69u89BECH69oSFxeDTq/lkafur/T8W++8kZPHE0lPtT803df1dnKPpxKo1NDx2raVnv/8wO6oNXJCJJnz4+Sug4Q3jkWl874cyvFmwF+lNLWVJJZ0IKp9RTwEk52Z6/cEwwqdXcLKUQ+XMYLgzMsg2aznxr9Kxin7WOjh70uQk0r6m7wzmUSFBNO2vesLpv/7bBv3PFh5krmg4EBu7NKJevVjueaGq132ffPVD3S568ZKl07oDTruf/hOvvx0K9GxkXS560Z08htR/1NJQkJf80+Z2iMwKJB7H7q90uMefvI+dHr70pjAQAMvDO7htVymg+jYSG67+yb0Bt/9LTIqnCeffYjAIN8VhgKDAnjy2Yc8Jp6VqdtUe7Tu1KkTJ06cYNasWbRr14527doxe/ZsTpw4QadOnfzRxjqBOtT7+iyFVuu1djmAJjQcU965N+rayGgU5TL/CkoV2kjPNZbBHr56ORIQoOf2e25h1uKJzm2iKBIWHuL8vtVVzXlpxPNMGD6TkuJSrrn+auavmEZUTAShYSH0H9KTnv2e8voZ9z54O7fecQMzJy1GkiSeePoBHr2zC4c/3cW/m35kzIgX6HRjB6/nj395GA89cQ9BQf6pNCBTt8lLyiQ/OYuY1g18Hpd8Jg21RkVQsH/+zrRqsdJoB7BXtrCWmfC0rCskNBib1UZOVl7NN7B8GxRKRLVGFg+XMaJC6RzzTHk5aMLs46O5qABVULCXk+yVmSq+eVUFhTgrOMn4D4vRzMFNO1j46jTadWjj3J6emsGqpRuYu3yKV/nQqHF9Nny0gibNGhEVHcHcpZO55Y4bnA8xJ4+dZuHMlcxdPsWrfNAbdMxfMY1VS9eTk53Hmx8sp0HDejX/g8q4IYgiqkDv/VKhkeXPpUB4RCgjJgzk4SfudW4zBOidOc8AuvV4hD79nib0bAlslVpFu/atef29xV7lQ3RsJG++v5wGjSrvbwqFgpatm/L6piVe5UNgUACvv7eY5q2aoJKrmFxxnNdrAoPBwIsvvsiSJUtYsmQJ/fv3x2DwbbuvdES1Cn0994cLZWAQ6qBQFBot2qhYt/3qkDBAwmayh06pwyJcll2APaJCHRSCKijE7Xx9XAPEy7gmckCAnhs7d2T6zFGIosi0uaNZvPoVGjdr6FM6ODCbLPTo+6RH+XDvg7czdGx/WrdrQVRMhFM6/PfZbgBsFiv/bvqRmQsm0Ommjm7ny9JB5kI59eshVDoNYY18J1lKTkolIjLcb5FLOo2iSuJBoVGBDaxG97DbsDD7xDQjPavG2+fWDq0OS5G8vvtyRqkzoAmPxFJUiEKnR2kIxJibjSYsCrFiojpBIKBhE8oyXdcEixoN+rj6iArPJWhlahaL0YxeqWLJmhm069CGRk0asGTNTLr3epxVSzewauN8N/kwevIgXl0/j0aNG5CdlUtSYgqR0RFMnDGc1zbMdz6cOOTDyg3z3OSDLB0uLgr12X5WsXqFIBLQsAmSLP4uGcIjQhk6qh8PPHwXIaHBLFr5MvNfnYbeoKNbj0e4/+bOaETX+6Uv+VBROmSkZ5F8JtVnG3zJh4rSIefsPeFyXA4uc35U6W7xxRdfcP/996NSqfjiiy98Hvvwww/XSMPqGqJCiTokHFVAEObCAiSb1V4GTKV21i3WRkajCQnDVFgAkg1VYBAIIuaCPHTRcaiCghGUagRBwGaxICqV2Gw2+xsgQcAQ3xCbKRZzUQGCqEAVGISgVF32kzKVIBJtVfHullVsWLuZJXPWsGjVy0REhtPzsZe8SoeMtCzGDZ1Bemomb2xeCsC7b34EwMNP3MeA4b0Y/sJkRIXI6+8toSQxm38/2OHy2TaLFb1Cydylk5lYLvmOLB1kLhSbzcbp3w8T1SIeUeHbASefSSXcTyGJoghqlUiej2oWzmM19iHDWmqyS4hyBAYHIipEMtKyaNOuhV/a6kCh02MuyMNqMtZqxR6ZmkNUqdBF10MTHoW5MB9ddKx9vCsuwhDfyF4iuqQYhVqDUm9AAgwNErCZTEhWG4JahUKpqnQZo0wNI0FUbCTL183i+NFTjBwwlQ7XtWX63DE0SIhn/QfL6fvMcIoKixk9eRA52Xk8dV9fXn9vMT+cTUC5auN8Rg2chmSTWP7GHIa/MInCgiKe7vkICc0asuGjFfR5ahj5eQV26fDqNFYtkaVDbWKzWECwz10BFBotgY2aYTUasZQUIarUKA0BoFShlMXDJYVWVPDcUw/xTO/HmDZuPjqdhrXvLIasIv7bspvG7Zu5nVNePrzYYzRmk9mjdJgwbCapyWms27SU+AZxXtvgkA/rNi2l/7MjKSwoskuHTUto3rKxUzosnLWSn3/4jY0fraBxs0aX5bJwmepRpXKaoiiSlpZGVFQUoo+1XoIg+H1974VyKZfrs5lNmIsK7Um3BFDqDagCQ1Co7RMrm8mEqTAfU24WgkKJLroeluJCjHk5CIKAJiwCpSHwotdU9lWv2IGn2sO+rldQVMTyhev4aos943VQcCBvvr+M40dO8tGmL12kQ3F2AfnFxUwaPYe/f98HQL36sazbtIT31n9CYUERA0f0Zli/SRw7chKA5q2asHTtTAJENUqNEpvl3N+xo62Z6VlMHDmb2+++WZYOfuJS7p81TdrB0+xcsYWO3W8nKMZ77gabJDGo9zhu7nI913ZuX+Pt0GsVNK6nJym9FLPF93Bgs9rI+/skwe0aoIt1FyFvrnqXa65vT7dej9Z4O8sjWa0UnT6OIb6RM0xfxv/Udv+0ms1IFjNlmWlYjWUoNFrUoRFnkzFLaMOjENVqBDnHg0/Kj8k2q+SSMwpArddgKrFHVQqC4PHto1KrxlJmQqWzz0fSc3Lp220Eebn2xNj3PXwH46cNJTQ8hCOHjvP37/tIT8tiw5pNgL189YKV0zEY9Mx7eQVHD58AoFmLxkycOYKTx05z70O3ExQUiCRJHD96iiF9JrBkzUxskpVxg19hzbuLZOnghZrqm1aTCXNhHsbcbAQENOGRqAICkUQRyWzGmJ+HQqnEZrWi0usR1RpZ/laB4uwCjEWe58UqrRqz0QxeHsc0Bi2GCC9LXTxQWlBMdm4eg/pM4NTxRABat23OklWvYFCpUeu1XuffZpOZfXsPMnX0PNa8s8hNOvz5614A6tWPqVQ+lBSX8vcf+5AkidlTljJp5ggEBK65/mrKSstYOGsl/3d2Th8cEiTLhyuEKomHusSl+mBjM5soOn3Cmd3bgajREpjQHIDCk0ewGcsACGjUlJKUM84lGA6UhgAM9RPq1ECQk5XL4tmr+PLTb122BwUHsv6D5UREhbvkfUhJTGXiiFns+euAy/H16seyZuMCRJWS4S+ckw4OmrdqwuLXXiYkIIBgLw+CWZk59rX2snTwC5dq//QHv7/1LemHEun0/D0+B9qM9CwmDp/Fk88+TEJT37kgzoewIBUxERpOp1QtO3zunpMYGkUR0MQ9r8zHm74kODiQoeNeqOlmulGcdBql3kBAg8Z+/ywZO7XZP61WK5bCfIoTT7jt08c3xJSTjaW0hKAmLVDq5aWevshPyWLrK+963X/XxO5sm7vZ5zU69+/K7nVfExgdSnzXjgweMNkpHRzc//CdjJs2BFEh8vbrH/Lm6vec+wKDApi3YirL57/OkUPHXc5r1qIxK9bPoV78ueWmkiSRl5tPUHAgVquV4qIS57p0GXdqom9aTSaXeaYDdWgEmrAICk8cAclVWumi41CFRqBUy5FHvvDVBx19yxt3TexOWEPvedwqkpKcxsDnxjqlg4PWbVuwfN1somN9530zm8wUFRYTenZeXVE6OPAlH0qKS/nph92MG/IKTVskMGPBeKaPm8+x/04yd/kU8nLzmTd9hcs5sny4Mqj2a4KysrLKD5KpNpbiIjfpAGAzlmEuKsCUn+scDJQBQViKCt2kg+M6dam0kTfpAFCQX0jfZ4aTnZXjfEOTkZbFpNFz3KQD2MsIpaZleJQOAEcOHWf0kJcpMHp/AIuIDJOlg8wFYzVbSNpzjKgW8ZUOsMlnK1pERPmrooWIuQr5HRyIGpXXyhahYcGkpdVOeSyFTo+5qFBeG1pXsZgpST7tcVdpahKaiEiQbBQnn8bmowSnTM3hSzoA/O+L7cx/5VVOHD3NhrXnREZgUABzl09h2by1btIB4Oh/JxjWd5KzxB/YIy9Cw0JQKBSo1WpZOvgZSZIw5eW4SQew5xorST7tJh0AStNT5HK2lxDepAPAwf3/Mbz/ZGcFN2+o1KpKpQPYk173f3YkSYkpLtvLSwdJkjh6+ATPPjyAo4dPIEkSE4fPQhAEHnzsHpfz8vMKeP6pYZw4ekoe1+sw1RYPISEh3HrrrUydOpXt27dTWirXUL5QbFYrZTneE7JJVium3HP7VYFBmPJzvR5vzMnCZvVec/lyIduHdHBQkF9In6eGcezISWdOB8fyivIYAvTMXT6F+S+/6lE6ODhy6DgjB0x1u5HKyNQkaf+exlJmIqpF/UqPTU5MRavVVFqu7nzRqhWYzFUf5BUaJdYSz3XCQ8OCyUzPxmarusg4X5Q6PZLFjM3ovWa5zOWLzWJB8rJ0U7JancsrrKUlSBb5wcffKDUqn9LBwTdffM/bb3zI9PljAdDpdcxdPoXl8193Lq/wxNH/TjD4+fEu8kGm9pAsFoy5nuehokKBtcz7XN9aUuyvZslUA1/SwUFV5QP4lg4OKsqHkuISF+ngCUmSmDd9BW07tKLrI3e57JPlQ92n2uJh27Zt3Hffffz222888sgjhIaGcvPNNzN58mS+++47f7RR5kpFkjCZK3+TJUkSSDYkJCxmzxNQQRAQBQFrFR6IrBarfMOT8Stn/jqCISIYQ3jlIbHJZ1KJiArzW+ihVi1islQn4kGJxUfEg9ViJTfH+4NJTeGo7mOWq1vUUeR78KWEJEnYbLYqSUWrxYrybFJrQbDnCbNZKz/PYpXH3ssRSe6rlwSSZH+RWRk2m61q/UySsFoqf4lptZ67niRJmM2WSq8vSRIWswWl0j35fVXvMzKXJ9UWDzfffDOTJk3i22+/JS8vjx9++IGmTZuyYMEC7rvvPn+0sc4jKhQ+E6QJCgXq0HDn95aiAlTBIV6PV4eGOzMRX86ER4Yx4eVh3PvQ7V6PCQwKYMOHy2nSvDHRMZFny3y1djuuqLCYiSNmM3nmCBo18b5OvkmzRqx4Yw715QRWMn7CaraQsu8Ekc2q9jeWfCaViEj/LLNQqwREUahSKU0HokaNzWj2GHYbcjYcuipvUy4UQRQRtVpZPNRRBIUKwUtFJkGhcE5sFVqd1+Nkag6ryULK1n9YuXY2QcHelxvedX8X+rzUnWlj5wP2sOsJw2YyesogmjRr5PW8hKYNWf32AmLrVX0tu0zNISiVaMrNM8sj2axuZdzLo9QHeN0nU3vUi49h7XtLnAkhPdGyTTNWvDGHmLioSq8XFRPJwpUv0+Haq7weExMXxZvvL3POmQ0BBm6/+2bmLJvs89pjpw7m2JGTfPHJVpftgUEBbPxoBU1bNJbzPNRRzisV9JEjR3j99dfp1asXTzzxBF9++SUPPvggS5Ysqen2XTEoDQEodHq37aJagyogCHVwmLOGsrmwAFVAsMcyYkp9AErdpZNoy2azkZuT5/zeYrGQm33ue7PJTE657ysSHuFdPgQGBfD2lpX2Mn5nq61ExUSyYMU02rZvBUD/IT2ZPm8soiii02uJjAzjtfXzPMqHJs0asXTNTILKDbDZmTnk5517sMnKzKGwwD0XR1XJyc7DZDr3tjg3Ow9LFYyyTN0h/VAiFqO5SuLBYrWSlppBeKTnCeGFolXbH9iqJR7USpDAWuYejRQUHIQgCmSk+V88ACi1eizFcp6HuoigUqKP8yyJdTH1MGZnnC0j3chZklqmZolq24hrBnRFpdOAQU2D29uS+t0+p3zQajUsXTuLR566n6YtG/Pt7o+YPHMEjZs2okffJ53XKcgvZMKwmYyZOoimzRPcPschHeLqxZCZnkVxkT1PVW5Ontubz5LiUrKzvC819YbVanWZi8i4IggC6pBwRA+Jyctyc9DXa2APX6mANioWRFn81Qae+kNFyssHURTZ+PGrrHl3EVB16WAxn5un+5IPFaVDdlYOJcUlGAL0LvKhcbOGvP3pSho3awjArMUTUSgUbPnANaGmLB2uDKotHurVq8cNN9zAN998ww033MD//vc/srKy2LJlC8OHD/dHG68IFCo1AY2aYohvhEJnQKHTo4utT2DjFijUahRqNYEJLdDH1UcVHIopP5eARk3QxdRDodWh0BnQ12tor2hxkctpOrDZbPx38BjPPTaIk8cTsVgsHNx/hF5PDCbxVLKzbE+fp4eRlJjq9Tqe5ENgUADvbFnFn7v3MmXUXJLPnDtfi4Kpk4YwaeYIzGYLP/3wK3OXTWblG3P59ssf+PzDr3n1zTku8sEhHQ5s+A7O3tizM3OYPW0Zn334NQX5hWRmZDN1zDy++fL785IPyUlp9HtmOP/89S8mk4kzp1Po/dRQDvxzWJYPVxBJe46hDwus0jKLjLRMrBYrkVH+Eg8iFqtEdaIaFRr7Q561xH25hUIhEhIaXCsRD2BPMClZrXUqoa6MHYVCiTIgiKCmrVAFhaDQ6lAFhRKQ0AyryYhCoyO4WWufb2Jlzp+oto0w1Qtk0pQFXN3/Xn7a9Rdr3/qQ+rfZ5cOqdXOY/9o03lr3Pq3btmDpmpkMeG4Mx46eRKtV029QD3r1f8Z5vbIyI0ajmUmzRrpEPpSXDomnkhj43Fj++v0fks+k0vPRQRz774TzYaukuJQd23cxeuBUMtK858WqiNVq5fC/R+n1+GBOn0yqsd9RXUOhVhPYuAW62PpoIqLRRERhiG+EPiYOUaMlqGkr1GFRqIJDUQeHEdCoGRq5ooXfEZUKTh5P5LnHBnHk0PEqy4f3PlvFp5u/4qfvf+WtT16rsnQ4sO8wvZ8aypnT9rwNDvnQ/ppz8qGidMhIy2L0S9P54btfXOTD8jdmM3ryICaPnMPoyYNYtm4Wd9x3K/c+dDv3POA6p5elw5VBtctptm/fnsOHD9OxY0duu+02brvtNm6++Wb0eve39ZWxevVqVq9ezalTpwBo06YN06ZN4/777/d6zkcffcTUqVM5deoUzZo1Y/78+XTt2rXKn1mb5cAkqxWbxYKlpBCbxYoqIBBBELCUFGOzWVEZAhFVKkSl69sam8UCSAgKpUsHtJpNSBYL5qJCBAGUhkAQRWcCLlGpQrKaMRcXIYgiKkMgglKFWIUw1PJ1visiKhVYyszOt4qOet7lEUQBUWH3WDarhFKn4kxKGv26j6S4qISwiFDWvrOICcNmcvzoKaJjI1m1cQHD+08mKTGF+AZxrHlrASF6PZJNQm3QudUZzs7KYd7LK9i14w/e2bKKP3bvYfaUpQBc17kDrywcT4BChUKlpLjMyGeffsPKJesBe43x7r0ep8/Tw7DZbPQf/ByPPH0fQ/pORCGKrHhjjj3SwWZDbdBRYjIye9oytn29A5VaxVsfv8bKxW/yy47fAZg6ZzT3PXQHgUFVCzFMTkpjQI9RJJ5KJjY+hpXr5zG4z3hSk9PRaNSs27yUq65uiVJ5+S+RuRDqejlNm9XGF+NeJ6Z1Qxrf7D180cEfv+5lzbKNDB7dD72h5h+w6kdrUStF0rKrnqBRkmzk/nmSoDb10Me7LxH7eNOXBAUHMGxc/5psqte2FJ06ji66HrqoGL9/3pVOTfRPm82KZDZjLi5EstnOjoNqQMJmMmEuKUap14PNhqWkGFGlRqkzIGF/K2uzmJCstrNjp9Jj5N+VRPmxW1QqMHvIvyIIApIkodSqEQBzmcllHHfsd2BTCBw4eJQRA6Zgs9lo0bopQ8e+wMThs7juhvaMnzYESYJJo+c4kzlPmDGcQweO8L8vtrNy4zzatW9NWZmJN1e9x/tvb2HVW/PZ8d0udmzfxYo35zLmpelYbTYX6TC03yROHjuNUqlgydqZ7N97kPff+owNHy6nXv1Ydn7/K+OHvgJAh2uvYuHKGUTFeF+mCuekQ99nRlBaUkpUdARvfrCchgnxNfHrv2SoqbHTajLZ55FFhYCAKjAIQaFAoVJjNZZhM5vs/VKtQanVgUptz+FhNmEtKcFqNqLUGVBoNHW2b3qbL9uskv2eplNjq5Dw1tk3BcGejKEcgiCg0Kjc5tWO83KKi+j37EiyM3MwBOjZ8OEKGtaPw1TkPeFnkc3C6qXr+eJj+1KGnv2epGffp4iL9z5OOqRD/+4jMRpNxMXby2XWbxhHWmo6WRk5zJu+goz0LOavmEpMfAyxsVFuid3nLp/C7XffhFan5cih47zQfSQF+YUEBQfyxualNG/VBFEUyc7KYe60Fez+6Q9ZOlxBVFs8AOTl5bFz50527NjBjh07OHjwIO3bt+f2229n9uzZVb7Ol19+iUKhoFmzZkiSxFtvvcXChQvZs2cPbdq0cTt+165d3HrrrcydO5cHH3yQTZs2MX/+fP7++2+uuqrySTzU3oONzWrFXJhPceJJQEIdEo5Cp6M01dW2q4JCMNRrUOkN2moyUpqRiqlC9QttZAwKvQGsVkwFeZgL8lz26+s1RB0SWmnOh+rUGK6s5nBwfAT1HuhI/56jnSGTAGERocxePJHZU5eRlJhCdGwkL88fx8vjF5Cemkl8gzgWL5nC0Y9+ocuIxwmOc59QZGflUFxcyu6dfzilg4PrOndgxvxxYLLw+ZZvWbvyHZf9d9x7C13uupEZ4xfa5cOQXjzy1H0IAi45HRyRDg7pMHvJJD7Z/CW//fK3y/WqKh/KS4eo6AhmLBzPKxMXkZqc7jxGlg926rp4yDiSxI9LPqZj99sJiqk8b8NnH/2P77f+xKBRff3Snmb1DZSZrOTkV68cYd6+0+jiQgls7l6/e/s3O0lJSmP20kk11UyflKQmISiUBDVuXiufdyVzof3TZrVgys+lJMm1TGZAQnPKstKwFBUR0LAJpWlJrln0RZHARk0pSUt2yaCv0GgJSGiGwkN4+JVC+bG7srG5c3/7S5rd6772eqwj0mHcyFkub1abt2rCsHH9eXn8QuYtn8KqJRv4+w/XClLjpw/l8MFjLvIhP7+QgvxCFsx4lSe6P0R4ZBhL56xmzJTBREaH06BRvIt0cFBePuTm5NPxunZMGuE6v6xMPlSUDs6fsQ7Kh5oYO60mI6XpqS5V1AC00fFoQkIoOnUMa/lym6JIYEIzQKDw5BHKh86JGi2BdbRv+povg+d+WJW+WXG/ISKYhg9fy9BB08jOzDm3PUDPm5uXkfTFn+QlVYguVMKN455mzbKNbvkTevS1y4d69d3lQ0Xp4CAuPoY17yzkx+9+YfXSjcxbMRWtTsu0MfO46uqWjJk6mOnjFvD7Ltf58brNSwgKCqT/s6MoyC90bg8KDmTdpiW0aN3UKR+Ki0qo37CeLB2uEM4rx0NISAgPP/wwkyZNYuLEiTz55JP88ccfzJs3r1rXeeihh+jatSvNmjWjefPmzJ49m4CAAH799VePxy9fvpz77ruPsWPH0qpVK2bOnEnHjh157bXXzufH8CuSxUxx4glAAkFAHRLqJh0AzAV5mPLzKl2jbCkpdpMOAGWZaQiiApvV4iYdAEqST2Mze85A7w+C4yOIvK21m3QAyMnKZfLouUyeOYL4BnGkp2by8vgFvDx/HNGxkSQlpjB61CyaPXUTguj5BmS12Ni983c36QDwx+49vDxhIbnFxWx44wO3/d9v/Ykd23Yxfb4958O6197mk01fYgg8F61TVekAMHPS4kqXXVRFOgAYjSb6dx8pL7uo46TsO4E6QEtgdGiVjk8+k0q4nxJLCoI9uWR18js4EDUqj0stAELDQshMz8ZahezaNYFCp8dSXIQkZ8G+5LGZzW7SQWkIxFJUgKWwAE1oOMacTPfSfTYbhaeOoYt0nTBbjWWUpCZVKZO7TOV4kw5gLzW9ZvlbvP7eYl5d9IabdACYP+NVWrZuyv0P38ng5yewb89BTp04w+De4/l91x4mj5rDuCEz+HfffwzpO4HXFr/pUToAWCxWRg2Yyi23d+aqdq3cpAPAnj8PMHbwdI/LLrxJB7CXCez3zHB52UUFLCXFbtIBQKFWUpKa5CodAGw2JIuFolNHqbhez2YsoyTljNw3zxNv0gGguKiEft1HEHF7a0LiI8/t8CEdAN5b/zHvrv+I5DNpLtu9SQeAlCR7ic5mLZsQEGhg3JAZjBsyg/S0TLZv/YlFM1cyatJA1Opzkdu33nkDBoPBTTqAPd9L/2dH8d/BY9hsNsIjwmjQKF6WDlcQ1RYPn376KcOGDaNdu3ZER0fz0ksvUVRUxOLFi/n7b/eHs6pitVp5//33KS4upnPnzh6P2b17N3fd5Vrz9d5772X37t1er2s0GikoKHD5qg1M+eeSH6kMgZgLvZeXK8tMQ7J4f+NoNZswZnmvbW3MzsDmo+ykMbvqayEvBId0GDxgspt0cFBV+ZBX4n5+RloW33/7E7OnLPPaht93/c3SuWuYu2wyao17FElF+bBh7WZeXfAmOdm51ZIODnzJh6pKBwdXony4WP3zYpGy7wThCbFVHmSTElOJjPKPeNCoRARBwGyufmJGUe2jpGZ4CFarlZysvAtsYdVQ6vQg2cPyZWqWmu6fRg/yXB0ShvHsw44qMMijQAfAZsNmtSBUiN4z5+ciXSH3S3/iSzoAaLUa+r70LDMmLOSfv/71eh0X+dBnApJN4q6uXQD7A07O2cSQSqWSh5+4z6N0cHD/w3dxcP8RXh6/wOvneZIPvqSDg8tdPtR037SaTJRleZ6bKLQ6j/1SUCiQrFbnct+KmAvyfM5tZTzjSzo4KC4qYfCLk87Jh0qkg4OK8sGXdHCQkpTGzEmLeWXRBIKCA10Srm/f+hPrXn2Htz9diVqt4tY7b2Dg8D4MfG6Mm3RwUFE+yFxZVFs8DBw4kJSUFF588UX27NlDRkaGU0ZcffXV1W7A/v37CQgIQKPRMHDgQLZs2ULr1u7lEAHS0tKIjnYttRQdHU1aWprH4wHmzp1LcHCw86t+/frVbuP5YDWdWzMtKBQ+J0Y2i6Xikq8KB0jYfNy8JYvZU7Lhc6ebTbWS9T3uhpZseu9zr9LBQU5WLju+380Dj94N2Evv/bF7D/c+aE80k5SYws7vf6W01NWuC6LAG695D29z8Ndv/yCIIq2uauZx/87vdxNXL5oGZ8Msv/p0KwX5heTk5PHjtz8D0KJVE7RaDX/s3lvp561etgGTyfXfx1hm5OcffiXxVDIAd95/K3v+3O9VOjjPM5pYvXQDBfnnXznjcuJi9c+LQWF6LkUZeYQnVC0XgclkJjM9i8hI32uYzxet2n77N1mqP/ArtCqsJZ7zQoSFhwCQXkuVLUS1BkFUyGU1/UBN9k9JkrCZ3P9mXMbHymq/WyyeS2d6KO0qUz0a3nIVa1a+4/VB4Kr2rbCYLT6lg4O33/iQp3s+gsloYu3yt3iqx8Nux9zUpROnjid6lQ4A3Xo9yjseohcrsufPAxw5fNwZZVWQX8i61971Kh0cZKRn8X9bvqWo8PKTljU+dko275LA5rlfOqJtfV5WrjhUbaI7NOab/+3wKh0cFBeVsOndz4i9oQWNb7gKY5mRrV/9UOn1P/vwa2c/LygoYvXSDV6lg4OUpDT2/nmAO++/1W3fju93Y7NJXH/ztfTu340P3/vcq3RwUJBfyOa3Pj2vCjUylzfVFg8ZGRl8/PHHDBkyhLZt215wA1q0aMHevXv57bffeOmll+jduzcHDx684Os6mDhxIvn5+c6vM2fO1Ni1faEODHb+v6Ws1J6HwQtKgwFB9P5PISgVKA3e8wgoAwJ9ztfUQSG1Esb035Zd9O3xODd3ud7ncV0fuYumzRN4/dW3AXi82wOERYTy9roPAejzwjPcc/+t6HRal/Mio8JZ++5ioqK9P4gJgsCUOaP47v9+9DhBUqqUzF48ifWrN3HqeKIzt0J8/TgaNIrntQ3zUSoVHPjnMF9++i3T5o52lur0RERUGOs/WEF4hGvovEar4b6H7mDImH4AbN74KQaDnqd7PuLzd9OxUztmLprofHir61ys/nkxSD1wCkEhEtqg8vrZACnJ6UiSRIS/Ih7UImaLrbJnPY+IGhWSxYbN7D7pDAoOQKFUkJ7iPUqrJhEEAYVOJ4sHP1CT/VMQBNRBIW7brWWlKM+Oj5LNhuAjx41Co3VbOigolXI5vxrgn7e2MWfOOI+lpgH+/HUvP//wKzMWjPN5ndh60UybO4aRL07hqqtbMnXuaPo+417x7OvPt5GdlcvQMS94vdaIF6fwysIJPhPiAcxZNpkO17ZFcVZKhYaFMHnmCDrfcq3P87r1fozuvR8nIPDSKUFeVWp67BQUSpR6z/NMScAt0gjAZjH7zOEgKJQ+57YynjmxbQ/33Hg9jzx2r8/jbu7Sib49n+C/Lbs48fMBrFlFrHprARoP0b4ODAF61r67mOhY+zw6LDyEmYsn0rFTO5+f9cxzj6LTa3n/rS0u25UqJcten8X2b3by0/e7eanXWLo99xh33ucuKMpz5723MGhkH79V7JK5dLnodwS1Wk3Tpk255pprmDt3LldffTXLly/3eGxMTAzp6a5vjNPT04mJ8T4oaTQagoKCXL5qA4XOgHi2xJDNWIZCrUHwUmtcHxOP6GOyJSqUaCOiPdZQFkQF6uBwVAGBHs8VlCqUXvbVNDarjYObdzDkxR7ceofn5TJdH7mLjp3aMXvKUiRJ4vFuD9C4WSMWzVwJ2KXDre3aoRHOTSTLv41o0ryRV/kgCALzlk/hmk5XO6tPlMchHT776Gt2//TnuYSO7VqiVCnRaNRcc/3VTvnw3dc/8suOP7zKh4ioMN7YvMxrgqrgkCCeee5Rp3xYOncN9erHepUPHTu1Y8Gr0yvN0l2XuFj982KQeuAkIfGRKFRVSx6afMZeyirMTzketGoFZsv5vY1SaOw/g6eoB0EQCQ0LIa2WIh7AnufBWlLsNeRX5vyo6f6pDLBXWiqPMScL7dncDcacLLc8Ds5z9QH2SMIKpkwXE4/oZWyVqTqm4jIOv7+TBfMnepUP9RvVQxRFJszwXDrdIR2mj51PVEwEC1e+jCiKKD1EqQiCQIvWTXnoyXsZPNpz8tyQsGAio8KZsWCcV/kwZ9lkbr/7ZhBwWaIYGR3BrMUTvcqHbr0f46XhzxN6mUr+mu6bolJp74ce5pnG3Bx0Me6JhJEkbFYLSoPnz9bF1KuzlS38igSHP/2Fpx6426t8uOWOzgwZ8BwHN/2IzWqPXtj79naCJaVX+eCQDi3bNEVdrgRqVHQEC16b7lU+PD+gGw0S4lk2b63LdqVKyYp1s9nzx37eXPUeYI/U7PX4IAYO7+1VPtx57y2Mf3koMXHRHvfL1G0uunioiM1mw2j0HMLbuXNntm/f7rLtu+++85oT4mLiqIesCra/CS9JOUNA/QRUgSHnjtHqCGzcAoVG6+Uq5xA1GoKatHC+GQJ7Uq7Axs0pSU/CmJ1JQMOmLjXNVUHBBDVpUatZhR3yYcKUIW6RDw88dreLdHjy2Yc8Sofj//vTec7J44m8t+FjcnPO5cjwJB8EQWDOssk0iYlFV2Zj5drZBAWfEy5KlZLZS71LBwfe5MP0eWNc5INDOvzz1wGO/nfCazihN/nQrddjLsddidLhSsJiMpN5NJmwRlUfaJMT0wgOCfL59uJC0KjF80osCSBq7W3yluchJCyYtOTaiXiAs3keAHOx7/BOmYuLQm0fx1RB5yICHSUxAxOaY7NasFks6OPqn5MJgoA6LAJD/QR7LqOzD0aCSoWhfkKtRfRdCfiSD4NH9yU/t4CXxy+kVcvGzFow3mW/J+lQr34sCU0asPY99/F6/oqpNG7akJCQYB7v9qCbfGjWsjELXp3GgOfG8NWW71j77mI3+eCQDpIksf2bn9zyI3mTD5e7dPAXokpNYJMWKHTl5pkBgWjDIlAGBKOv1/DcCzRBRBMWgcoQRECDRmgiokCwz5EEpQpDfCPUwXLfPG/KyYfHnnnAZdetd3Rm6syRLtLBgVM+vO0qH7xJBwfe5EPfl57l+QHdufaG9m5z6hXrZtPm6pY0a9nY5ZyIqHD0Bj3jpw91kw+ydJA5r3KaNcXEiRO5//77adCgAYWFhc7ymFu3buXuu++mV69e1KtXj7lz5wL2cppdunRh3rx5PPDAA7z//vvMmTPnkiyn6cBmtSJZLSBJCKICSZKQbNaz34v29cnVuDFbTSb7+dijHQRRcL7lE5RKsJ29PgKCUonoaT2sB7zVJYaz9YfLzM43TSq9BrOX9d0O1HoNRcYyZk1dxs7vd/PYMw8wYFgvpo+bz2+//E2PPk/yXL+nGDd0Bvv2HKT/kJ48/cxDqCT770KhVpJdWEjf7iPIycql1wtP06vPk2jOhtQqNCrSs3MZ0HM0mRnZzF02mWuua4fKAkqtvYZyel4u/bqPpKSklNVvLSA8PJTnnhiMxWzxKB3KYzSa+Ou3fxjSZzwBgQG8s2UVJ46dZuSLUwiLCOGNzcv4fdffzJm6jMCgADZ8tIJmPmoQ5+cV8ME7n/Haojdp3bYFS9fO5P23t7BhzWZZOpSjrpbTTD1wkp9e+5zret2NIbxqP9fSuWsoKzXyWLcHKj+4mogCtG4cSGaukaKS84sSyN1zEkNCFAGN3ScQO7b9wrEjJ1m48uULbGnVkCSJ4jMnUYeEYYjz/LZW5sKpqf5ps1rP5nWwj4sOyWAzm5FsViRAkECSbCAICAoFCpUayWaz5zuSJARBRFCp6syDja8xGEBt0KELdl8SUP48hUqJ6ezYrNSqsZRVWJZy9nclSZLXcVwQBBCg2GpmUN8JnDqeyPiXh5Gdmc2GNe+z4o05XNWqKTZJ4rff/2HC8JnE1otm0aoZjHxxiot0KM/xo6cY0MM+Xs9fMZX09GyWzlnNijfm0OnGjhQWFvHp+1+xcvF6mrVszKJVMxj43BhatmnG1DmjiYgMIykxhRe6jyQlKc1VOmz9iamj53otS52ZnsWU0XPZ/dOfdVY61OTY6TLPPNv3wB5RIlgs5fqlEsXZvluX+2ZFvPXV8v3PG2q9xu0YQRBQaFRu/dWBVS2yctkGPn3//7j1js68vGAsBrXW5/3CqhE5fuQ0g3qPQ6lSsvbdxTRp1ghDgN7rOWDPezJuyAz+/n2fXTq82I2QsGCsVitHDp+g/9k59Yp1s2l3TRuCggIpKS7hx227mDBsJnHxMazbtJT6De0RMmkpGcyf8Srbv9kpSwcZ4CKLh379+rF9+3ZSU1MJDg6mXbt2jB8/nrvvticdvO2222jUqBEbN250nvPRRx8xZcoUTp06RbNmzViwYAFdu3at8mderAcbSZKwlpVSnHjCWZJIUCjRx9VHFRSM6GH93KVCxZrFldUjBrh3Wk+C4yLIyshm2/920qZePEe++JXW3W9jz8H/aB0bz4mtf9G6x20cOHqchIAwZ6RDQGQwDR+6jsEvTXFmwAZ49rnHuLfz9Rz98jcA6rVvQswdV3HyeCINwiLYu+E7lzYExoQRd+/VGCUr7a+9CqVSyX8Hj2E0mnxKBwdGo4k9f+wnMiqcJs0bUVpaxp+/7qVe/VindHB+VhXlww/f/kznW64jOjaSvJx8tn2zg1vvuFGWDmepq+Jhz4c7SPzjP27od1+VJ2OjXppGqzbNueWOG2q8PTqNSJN4A8kZZecd9ZB/MAl1sJ7gtu4P+vv3HuSbL39g9dsLXMps+ZOyzDSsJhMhLaomoWWqT230T5vZTFl2BmWZ6c6kkUpDIIb6jWo1eq+2qTjOVsQxplb1GpWN0972O7arDVpadruVw8dO0kAXRFCremRm5NCxU1s0Gvu/Q3FxCb/9/BfNWjZBp9Py/dafuOm2Tm7SwcHxo6c4eew0yUnpLJ5lj3QURdFFPvz0/W6u69yRgEAD3371PXfe34WIcsvNkhJTOPzvMTrfcq2LdHDgSz788O0v3N21S52TDuD/vmkzmynLyqAsK835EkoZEIghvm73y+qQczqdbXM3+zzmrgnd2DbvfZdtlfXVe6f1xKpR8t3//cCd999KRKTvvAgFeYXs+ukPrFYrUdERaLQa9v9ziAYN69HxunZVkg87t+/irvu6EBJ2LjrNIR9ysnJp26EVQUHnIiBKikv49ey9wCEdHKSlZLDtm53cdd8tsnSQ4aI+7b755ps+9//4449u25566imeeuopP7XIf9jMJgqP/+e0yACS1ULxmZMENm6OGFB3HrLKExEVTteut/HNtLdAgoObfiShQ1OOfPErAAff+5FbhjzCjsUfA96lA8Cmd+xJbe59yC4fkvcex2aT6PjETWyb/o7bZxem5ZD8zV5uHPigM7SsReum2Gw2lwmJNzQaNR07tXWeq9Npadu+Fd98+b2LdAAoLCiiz1PDfMqH4JAgHnj0blRnH8RCwoJ55Mn7nd/L1F3SD50mtEFUlaVDcXEp+bkFRESGVn7weaA5W9HCfB4VLRwotCospT4qW0gSGamZxDf0sDbYDyh0BsyFBdjMJnld8WWKZLNhzMmiLCPVZbuluJDCk0cJatxc/retJRzLLsKaxnFsx1/c37kNDRLiXcK0DQY9t9x+g3MMe/CJe9HrPS8dNZYZKSoo4uD+I7yx8pxgsdlsDHthklM+dH3kLrRnE0s/3v1BVBXyd8Q3iCMqJhKT0eQmHeBcWeqK8iEyOoJHn+laayK0LiHZbJTlZFGWWaFfFhVSdPIoAY2bO6MiZPxDWHiIx/5QEYd0GD/0FSRJYvq8sRQUFLJ0zhqUSgXL35hTqXyIio7wODdVKBQ0b9mY0pJSAgJdE5HqK9wLyhMTF8WTzz6EVisLKpkqiofHH3+8yhf89NNPz7sxdRlzQZ6LdChPSWoygQk6RGXdHBAlsxXOxtVYzVbO/P6fc5/FaMZUYC+/6Us6OKgoH1L3naDNA96raBSl5yKUC+oRRdFnlYqKlJ9k5ecV8PGmL1mxYJ3HY6siHyrelGXpUPcpzSuiIDWHeh2aVvkcR2LJCB8VXC4EjVpx3hUtHIgaFaYsz5UkwsLtwiStVsWDPb+NuagQTaicKftyxGYxU5bpuTy2zViG1SRLpdrEVFxG2j8nAHv+Jk9rw8uPYb6kwx+/7mVo34nOkpflqSgfnNf28pDlTTo4P8+LfJClw/lhs5gxeumXVmMZktkEcr/0O9WVDgAzJix07rdYrAx/YVKV5IO3ualCoXCTDpWdA8jSQcZJlZ7AytcKruxLxh1JkjAXF3ndby0rRfJSJ/lKot1zdzJ65Eyv0sHBpne2cDwng3rXNKulltknRnv+POBVOjgoLCjixWdHkZ8nl/aTsZN+2F7mLLR+1cpoAiQlpqJQiH4rq6pViZjOs6KFA4VWhc1kRbK6R03o9Fp0ei1pKekezvQPokKJqNZgLpT73mWLzeZV0ANYjd7XNMtcumRn5XqVDg4c8iErM7vS650+meRVOjgwGk3yWFxTVNYvy8pqsTEy3sjOynGRDp5wyIf8fLlfyFwcqhTxsGHDBn+3o04jCAIKrQ5zvucHalGtrrNJeKrDoS27mDFrNEMHTqGszHuCnpu7XE/rhEYc3Lyj1tomiiJt27fiwcfu4ast33o9TqlSMv+16egNOq/HyFxZZBxOJCAyBLW+6sY/6UwKYeGhzrr0NY1GLVJSdmGlJ0WN/e2GpcSIKrDi37tAWEQoaSm1V9kC7GU1zUX5SJIk31MvR0TRXrXCy8RZoZLfml2OBAYFMG76EOZO81wq3cGYKYNcMud7o158DM8P7M7GNd7X0wuCwKwlk9Dp5bH4gqmkX4pyjodLgoBAAy+NfJ5VS3w/s42dOsRv1bJkZCrjkiunWVfRhIR5rI8MoIuOu6zqkKsNWvAxpw9P8JxYqjJyT6ZR+OdJ1r+31BmWpdaoaXXVuciG+x64nYmTBnFw8w63MkL+JjwilNFTBvHgY/d43K9UKXnrk9focO1VHkNSZa48JEki/fAZQupXb8lE8ulUl4RqNYkogFolXlB+B7BHPABYi73keQgLISXZc3iuv1Dq9EgWizOBr8zlhahUoQn13FcEpQqxCqWnZWoOUakgtIE9UutCRF5gUAAPPnYPE18Z7tzWpl0L2nZo7fx+3LQhPPzkfVUSDyFhwfQd0J3nB3b3uF8QBBaufJmbb78evSweLhhRqULtZfmaoFTJ4qEGCYoNQ6U7v99nZHQET3R7kEGj+ji3xcXHEBl17t9u4ozh3PPgbYRH+Gd+ISNTGeeVXPLjjz/mww8/JDExEZPJtfzL33//XSMNq2uIKjUBjZpSfPqES8iaNjIGVUDlA+2lQvxNrTmTm02LR2/kv892OXM3OGh87zWYQ9QYfYTleUMQRWJvaEFJWRnrNy9jYO+xTJs3Fo1WzUfvfoFep2Xo+P5kZ+bQ4JarOPXjvhr6qaqOQz4ALpEPDukg2STycgtcapZ7o6iwmKOHT9CwcbxzTbxM3aIoM5/SvCJCqrHMQsIe8XBd5w5+aZP6bGJJk/nCllqISgUoRSxeyoeFRYby3+ETSJJX51rjKLQ6EAQshfkotfIDx+WGIIroomOxWUyYC/Kd20WVmoCEZihkoVtriEoFbbp3ochmRns4iAJjGamHjtOsRYIzT1JpSSlHDp8gIjLMayULBw75APDNF98zadYIJJvE/Bmvcue9t1RZOqSnZZKZnk3zVo3pO8AuHspHPlRFOmSmZ5Oakk7zVk3ktedVQBBF9NFxSGYz5kK5X/qL0IbRRHRphU6l4tCmnZi9JG/2hUM+APzflu+Y8PIwEAReHr+AvgOfdUqHkpJSjhw6TnyDOLeXHGkpGZw5nUyT5gluyz1TklIpLiqlaYsEFxlpNpk5cvg4EVHhRMdEVrm9GWmZZGZk07xlEznn2RVCtSMeVqxYQZ8+fYiOjmbPnj106tSJ8PBwTpw4wf333++PNtYJBFFEFRBIUPPWBDZpQWBCM4JbXIU2KuaySSoZf1NrTpbm0rfbCD75djstHr3RJfKh8b3X8MvBfxnw/Dg++ejraq2tFESR1t1vZfUbm3mh52hSzqTx3udreP/tLYzoP4WHnriHERMHMHH4LPp1H4k1LpBGt7Xzw09ZORUjHxzSobiwmOefHMKEYTPJSM/yeY2iwmK2b/2J3k8OYdncteRk+85rIXN5kvHfGQRBIKRe1SMesjNzKCs1urylqEm0qguvaOFAoVF5j3gID8VUZiQ/L9/jfn8giCIKrQ6TnOfhskVUqTHENyK4eRsCGjUjqGkrgpq0lEVSLeKQDkte28CLvcdiaxTK+tff5/knh/DfwWPYbDZKS0rZv/cQ/bqNYPRL00k+k1rpdQODAnj4ifuYMmcUg3qN46Xe45g4YziPPt21ytJh7KDp9H5yCPv2HEQfoHOJfKiqdJg8ag69nxjC37//43NZp8w5RJUaQ325X/qL0IbRhNzYlIF9xzN5yiJaPXvrBUU+PN3jYWYvmcTkUXN4efwClq+bzX0P3+GUDrt2/E7vJ4YwZ+oysjNznOempWSwbN5a+nUbwfZvdpKTnefcl5KUSv9nR/P8U0M5eviEM5eE2WRm/z+H6P3kUEYPnE56WmaV2pmRlsmogdPp9cQQ9u09iNlkPq+fV+byQpB8ZSHxQMuWLZk+fTrdu3cnMDCQf/75h8aNGzNt2jRycnJ47bXX/NXWGqE26pDXNUrziykqKuaH73cxa8pS5/Ynuj/IgEHPoZYEzILExx/9H2tXvO3cP2hUH7r3fhy1oMBUfC4pmM1ic0l+o9SqKTYZmfvycn7ctgu1Rs2cpZP58L3P+f0XewSNQqFgztJJ/N9n29j5/W5UahWvrZ9H88YN0ahVmMq9dRVEEVFxzogoNWosRtfInPKoDTp0wYZq/16ys3JZPn8tT/V8hOLCYgb1HofFYo/0uPaG9sxbMdVj5INDOpRPjvXoU/czYuKAKz7yoa71z1/f/B+5ZzK5pvvtVT7nn7//ZcWCdQwY3rtKk/HqEh2mJiRQRVL6hS9HKDqRjmS1EX69e6LX3Jw83njtXUZPGUTrts0v+LOqijEvB1NuNqFtOiBUo4KNTOXUtf55KVGaX+wyTlak/DhV/lhRqcBcah/fBEFwjq3l/1+pVWMpMznfUEqShEqrxlzmfp5Kr6GotJSXJy1i909/Avbxd8aCcWz73w7++HUv7362iuysXAb1Ho/p7Njaum0LFq+eUWnkw/EjJ3mxx2gyM+xJJMMjw1j33mKatmjs8zyHdNj717/2dqpVrH13Ee06tKakqJQNazfTpl3LKkmHX38+93Ot3DiPjp2uvuwjH+S+WXt466sKtRKTFxHvQG3QuB2j0Gk4fSaJ/j1GU1pqH5ebt2rC8rUz0Qsq1AYthvDq/ZueOHaavk8Pc4qD6NhI3nx/ORFRYeza8TujX5ru7PN33d+FyTNHYDZbWDZvLV9/vs15nalzRnPX/V0oLSmh/7OjOXM6GbBLxA0frqBRk/oc+OcwL/YY7bwXtOvQhsVrZviMfHBIh317zvXn199bTLv2reXIhzpOtcWDXq/n0KFDNGzYkKioKL777juuvvpqjh49yg033EB2duUZiS8m8s25+hQWFPHNl98zc9Jit32PPnkfvXs9yVdfbefN190TPTnkQ3DIud91zul0ts21H1s+0mHnj786pcP7b2/hz1/3ulxLoVDwysLxbP3qh3Py4c25KFIKXZZd3DutJ8Fx5x7481Oy2PrKu3ij4vHVIScrlyOHj7tIBwee5IMn6eBAlg91q39KksSX49cR2TyeJre0rfJ5X235jq8/38bQsS/4JUFigxgdSoVAevaFv+krTcmlLCOf6Duucttns9lYNm8tzzz3KHfed8sFf1ZVsRrLKElOJLBxc1QBl/ff0KVGXeqflzPlx7TO/buye93XPo8vP8Z5Gg8d1xCVCm4Y+Rgzpizmt12uy2Yd8uHksdO0bteCiSNmOx80HFQmHypKBweVyYeK0sGBi3woLkWtUVdZOpT/ueqCfJD7Zu3hbU5Zlb5Y8RhHpMOQAVOc0sFBs5aNmT1rDLHxMQTHVj0CsqJ0cPD0c49w3Q0dGDdkhlvlizvvu5Wnez7CoN7jXKrPhEWEsvadRYwaOM0pHRzcekdner/4DC/1Hud2L/AlHypKBweyfLgyqPbroJiYGHJy7GE5DRo04NdffwXg5MmTPku4yFye+JIOAJ99/A0b3/mEqPgojw9Jq5ZsYPNbn3pcdlEd6QBgtVqZNnY+9z54O7fe0RmzycyQfhMv2rILo9HEkcMnPEoHgD9/3euy7MKXdAD47KP/ycsu6hBFGXmUFZQQEl/NxJJnUoiMCvNbVQatWsRkrpnErKJWiWS2YjNb3PeJIqFhIaQm115JTbBnWBcUCrmspoxMNXAsr5g5fambdAD7+PvFx9/Q6aaOHqUDwMH9/3ldduFNOoB9eVn/HqM59t8Jt33epAPYQ7wH9BxjX3Zh0FVbOjh+rsHPT5CXXcjUOr6kA8DRwyeYPGURRaaq/116kw73P3wnzVs28SgdALZ/s5P31n/MK4smOKtphUWEMnvJJI/S4brOHXj4yfs8SgeAfXv+9bjswpt0AHt/frHHaHnZRR2n2uLhjjvu4IsvvgCgT58+jBw5krvvvptnnnmGxx57rMYbKHPxKC4qZts3O71KBweff/Q//v3nMKMmDfS4f9WSDXz03hcU5Be6bG/9zC2sfvN9dv5ol1e+pIMDh3x44NG7ufaG9k75QIMQ6l/fsno/4AVgsVjYt+cgg3qP9SgdHDjlQ1omP27bVWnt8c8++h/L5r3uNmjIXH5kHk0GQah2NE3i6RQios4vAqcyBAFUSqFG8jsAKLT2pGJeE0xG1H5lC0EQ7GU1C2svt4SMzOWOI6eDY3lFRVpd1Zxn+zzB0H6TPD5oOHDIh/KldE+fOONVOjhwyIeTxxOd27Iysr1KBwcO+fDvvv9c3tQ6r5GZ41U6OHDIh3/+OoDFg0SVkalpgmLDCL+1pVfp4ODo4RMMHzCFzEryhgGcPpnkUTrcekdnrr/5GmZPWerzBfHO73ez9cvvmT5vLFqthgWvTmPO1GVu0qF12xb06PMEk0Z6FpAOHPIh62y/z8rI9iodHDjkw7/7/8Nmq93KdTK1Q7XFw+uvv87kyZMBGDx4MOvXr6dVq1a88sorrF69usYbKHPx0Oq0tGjVFL3Bd/IgURTpcF079u056HG/Sq2i/bVXodO5lkLLP51B55s6Or8/8M8hOlxXeUh6eEQoQSGBJCWmABAZFU5ERBgFSVVLaFMTKJVKomMjCa9CycObb7setVZD0xYJBAT6ziUhCAI333Y92vNMKiRz6ZB5NJnAqBCUmqqHDJrNFjJSM4iM9k+pK41KRBAEzBdY0cKBePZnsxZ5Fg/hkWGkJNVuxAOAUmfAWlaKzSK/NZGRqQr5pzPofGNHr/vT0zLRaNRVqth07fVXOytfgH0O0LRFQqXnNWnWEI3mXIUElVrFDbdcV+l5UdHhREaFO9/UlketVnHTbZ0qvUZ4RCixcdEoVedV7E1GplqU5RejV6uJqRdd6bHXXn91lf4udXotTZq797PTJ88QHR3hsuTZ62fdcDX//P0vRqOJpMQUWrZp6nZMWmoGGq2mSveCG26+xtl2pUpF51uurfScqOgIIiLDXO4hMnWHav+riqKIUnmuA3Tr1o0VK1YwdOhQ1HJJnTqFQqGgResmrP9ghVf5IIoi81+dxq+//MV3X+8AQKk8N/g71mBe3aGN25qtpF2HaKwNYfyUwQBsXPs+FpOF/kOf89qmqOgIZiwczysTF5GWkkFcfAyrNszn6Ac/kZ9cu/lFGjSsx5sfLCc61nsCnRETBvBE9wcJCQmiecvGbPhwhVf5INcer1tkHk0iuF71KlOkJqdjs0lE+iniQeMopVlDEQ+iQkRUK7CUeH5jExERSmF+IcVFJTXyeVVFodMDyMstZGSqSOLOA7SOjGPM5Jc87s/JymXpvLWseHMO8Q3inNvLj/cAvV54ml4vPkNUzLl7WFx8DNPnjfX50NHpxg68snACcfExzm3BIUH06PMEA0c87/W8evVjWLdpqUubyhMUHMhjT3d1lsH2RFR0BOs/WE6DhHivx8jI1CSmEiOH3/+JBfMmkNC0odfjnn72Ifr070ZoWEil14yKjmDu8ilupbhPn0xi/oxXmbtsMiGhwc7tFfvuqEkDSTyVzCebv0SSJF6ZuJibunTi7q5dXI7Lycplyui5TJ410mu/A3hxaC969nvS+ZkhoUH07PckA4b19npOvfqxrNu0xOd1ZS5vzksn5ebmsmjRIvr160e/fv1YvHixM++DTN3Cl3wQRZG5iyYSYVby8EN3oVQpuf6ma/j0241cf1NHn9LBwZlfDrrIhw1rN3uVD+WlQ2py+kWVDg58yQeHdHBYZlEUaeZFPsjSoW5RnFNASU4hwdUoowlwJtEe0hjhp1KaGrWIxWKjJtPxiFo1Fi+ZvB0RQSlJtbvcQlQqEdUazEWyeJCRqSqJP+7nji6dGTHmBbd9kVHhzF46iTlTlzFj4TjiG8QRHhnGG5uXMWxsf+CcdAgJDSI3J99lnbYv+eBJOjjwJR8qkw4OfMkHWTrIXCxMxWUcen8nC+ZNoLEH+fD0sw/x4K03oxXdI3m84U0+nDpxhh+37eLND5YREhpMo8b12fzl6zz57EMAvDx/HK3bteSTzV85z7HZbCyZs4ahY/vz0OP3uFwvOzOH99Z/zOq3F3rsfxWlg4PgEO/yQZYOVwbVFg87d+4kISGBFStWkJubS25uLitWrCAhIYGdO3f6o40yFxlP8sEhHfQZpRzf+hemf1PYsHkZT3R/kG4PvciTzz7E25+u9CkdHHiSD0qFgpHlckZERUewdO1MV+mw8eJKBwee5ENF6eDAk3yQpUPdI+uofRlQdcVD0ukUQsNCXMKNaxKtWsRkqdkkwAqdCkuR54iHsPBQBFGo9TwPgDPPg5z0WEam6khFRlpHxrnIh8iocBatnsGyeWt5cVgvGiXUZ+17i5m/YipTRs8lIyOL19bPdUqHvX8e4P6bn2H/P4cqlQ++pIMDT/KhqtLBgSf5IEsHmYuNQz6seH2WS+SDQzoc+fzXal/TKR9uOCcfbr/nZgYM602zFo1577NVTJgxnBd7jKJBo3qsfXcx9zxwGy1aNWb20knOxNYBgQbWvLOI+AaxjJo8yEU+tG3fiunzxtIwId5NFniTDg48yQdZOlw5VLucZtu2bencuTOrV692rqezWq0MGjSIXbt2sX//fr80tKa4UksOVadGuNdzRYGktAz69xzNzIUTuPqqFohnI7YllYIjx08xuM94LGYLKrWKlRvm07xxQ5QKBVaTGVFh91w2qw3J5vpnp9SqKTOa+HHnr6xasp43Ni8jNzefX3/+k88//B+zlkyifsM4PnrvC7758nte2zAPvV5LgFLtdq2KP8uF/OzVIfF0Mv2eGU733o97lA7lsdlsHD18gr7PDGf6vLGydDhLXemff763nbSDp+nU6+5qnbdo1iosFguPPt3VL+1qVt9AmclKTn7N5T4ozcin9EwWMXe1BcHdZb+5+j06XNuWZ59/vMY+sypYSksoTU0iqFlrlGeXXshcGHWlf16uFGcXYCwqRRAEp1BTatVYyuwJ3spvL49Kp8ZmsaI+++LAVFyKzSohnU3eVv4aKq0ac5kJiyDxzdYdvPX6Byxe8woThs0kJSmNlm2asuKNuRiNJl7qNdaZa6nvS8/S7blHOX0yiZeeH4fFbEGtUfP6e4tpe3UrlxcQKUlpzJiwEKvVWql0KE9+XgHvbfiELz/5plrSoTwF+YVs+fBr3ln3YZ2SDnLfrD7nOzd09MOKqPQazF4SLTuvqddg8nCM2qAlr7iIIX0ncsPN19Cnfzf0ajXmUhOCKCIqPFe58tbGjPQsjh85xdrlb6E36OjR90latGpKRFQY/x06Rv/uo8jLtSdgnjpnNF3uvJGomAjy8/L56YffmDttOWvfXUzLNk2dy+uzs3JZMnsVp06cYcmamS4v25LPpNL/2VF0feQun9KhPPl5Bbz75sd8teVbWTpcQVRbPOh0Ovbu3UuLFi1ctv/333+0b9+e0lLvnfhS4Eq9OXurO+ygfJ1vX+cGN4ji6h6389/Xv5P+z0kAEm5vhzk2kCF9J7hkhFapVbz25lwS4mLZuehjn+1zfH5RYRFlpUZ++uE3po+bT58B3bmraxfGDJqO1WJl3ealqNUqhvefTFFhMW9sPr/Jh7/IzMhGrVZVKYmPzWYjL7cArU4jS4ez1JX++b+X3yYgMpgWd3lP1lYRCRjRfzLtOrbhpi6VJ0OrLoIArRMCyM4zUVjivRJLdTEVlFD0XyoRN7dAadC67f/8o69RKJWM8bHG2h9Iko2iU8fRRcehi4qt1c+uq9SV/nm5knM6nW1zN3vdf8fYp/l+4Yde9/sa5z2RkZZJUVEJg3qPcy6XCo8MY8Fr05g+doFTOjh4fkB3gkMCWT7/dec2r/IhOR0kqcrSwUF+XgEmk5nIC1iOVpBfiMlo8tuStouB3Derz/nOi72d17l/V3av+9rnZ3o7xvFZGelZqFRKQsNCKm2ftzZmpGcxcfgs9v39L3NXTMVYZmTq6Lk80f0hnurxMC90H+mUDg4mzxrJ7Xff7JQPFouV4JAgl5x+YJcPVovVJYeLg8z0LFRqVZWkg4Oa6M8ylxfVXmrRsWNHDh065Lb90KFDXH311TXSKJlLl/zEDH6a/5GrdIgJcJMOgLPU5cnUNBJuq9rfhs0m8b8vvmf6uPmAfdlF7ycGk5qcTkZ6Fv27jyTxVDKFBUWkJKXxQveRbpOfi0lkVHiVpAPYl12EhYfI0qGOYSwqpTAtp9rLLPJzCygqLCbKTwOw+mxFi5pfanG2pKa3PA9R4SQlptboZ1YFQRDlspoyMudJTnYeq5Zu4Ml7+7hIh1mLJ3qUDgAb124mPS3TmfMBwGQ08WKP0e7LLupFV1s6gD1M+0IfUoKCA+uUdJCpO0RFR1QpkaQ3HNLhj917MBpNjHlpOpNGzCa+QRy33XWjR+kAMHvKUn747mcy0rIIDgkmPCLMTTqAvfqLJ+kAEBkdUS3pADXTn2UuL6otHoYNG8bw4cNZtGgRP//8Mz///DOLFi1i5MiRjBw5kn379jm/ZOomjvDMRredlQ79JnqtfW02me1SIi6AhC7tfF63IL+Qzz78Hwtnvuay3WI593Y2Iz2LqaPnMm3uGGLioi5J+SBzZZN1/Gx+h7jqDaaOWtmRVShRdT5oz1a0MJtrtja2qFKAQsRS7DnPQ2RkOIX5hRQWFNXo51YFpc6ApbgIyVpzER4yMnWdnOw8Vix4nU/f/z/n+BsWEcqsxROZPWWpz/H2/be2kJGRxdCx53JEeJMPMjIyNUd56eDAZrPRoFE9xk8fysQRsz1KBwcO+ZCellUbzZW5Qql2weLu3bsDMG7cOI/7HGsMBUHAKk/26jSBDSPZ/stvXqWDA7PJzN9/7ueOG3zX4zabzPz842+Vfm52Vi4FeYXEN4gjLSWDzIxsMjOyia0X7bGOt4xMbZJ1LAVNoA5tUPXyCiQlpqDWaAgOCfRLuzQqEYvVhq2Gcy0KCD4TTEZE2StbJJ9J81gT3J8o9XqM2WAuKkAdHFqrny0jc7liNpv5+w/XfF3RMZEYy4xkpFf+ULLv74MMHt3XZZvJaGLf3//StHlCpQmnZWRkqk9pSRnHj5x0294woT7p6Vnk51Ve5ennH3/jlttv8EfzZGSA84h4OHnypM+vEydOOP8rU7fZ/9Z27r39ZvoM7O7zuH6De3D3rZ3Z//Z2n8eFR4Yxe8kkbrjZe61vhULBKwvH83+ffcefv+51luxs066FLB1kLgkyjyUTHBfuzAxdVRJPJREVHYYgnleV40rRqEVMZv9UeFBo1ViKPC+1CA0LQaFUXJSoJFGlRlSp5eUWMjLVIDomkjVvL6RRkwbObYcOHOHd9R8zZ+lk1D6q7rRu24KBw3szZtDLLtuHjevPY888QFCwf8SqjMyVTsOEeNZ/uIKw8BCX7Tu/381vP//F5Fkjfc5Lutx1IxNnDD+vJVAyMlWl2jPchg0bVvlLpu6zZ903PHjPbfQd+KzH/f0G9eDJpx5g7xtbPe4Pig2jbY/b4ey9MDI63Kt8cEiHrV/9wM7vdzulQ7sOrVGr/VN+0N/k5sgPRHUJi8lCbmIGQdVcZgGQeCqZyCj/LLMA+1ILs6Vml1k4UOjUZyMe3MWGKIqER4ZdtOVQCp0eU4FcVlNGpjrExce4yYc/f93L+29vYe4yz/KhTbuWDBzem/HDZlJaci7R+LBx/Xmqx8Mu+Y8KCgopyC/07w9RTfLz7Hl2ZGT8SXS7BJo+4DsC+Hxp3LShR/nwvy+2c+TwcRa8Os2jfPC3dPC1xEPmyuK8Xq2988473HTTTcTFxXH69GkAli1bxueff16jjZO5PNiz7hue7PagW+RDv0E9uP/OW7DleB7Ig2LDiL3napa//g4llnPrPj3JB4VCwZylk+qUdEhPzWDi8JkeQ+NkLk9yT6cjWW3VyhwPYDSZSE/NJDomsvKDzwMBe3JJs78iHnQqsElYS00e90dGhXPmIokHpd6AZDFjLbu0Ky7JyFxqeJIPhw4cIaFJQ1ZtmOciH1q3bcGCV6ex/69/K5UOhQVF/N+W7/jik62XjHzIzyvgw3c/Z/vWn2T5IOM3RJ2aslgDX+/6leaPdvbLZ3iSD9GxkfR64Rmuu7EDc5dNdpEP/pYOSYkpjH5pupyLTQY4j3Kaq1evZtq0aYwYMYLZs2dz4MABGjduzMaNG3nrrbf44Ycf/NXWGuFKLTlUnXrFFY8VlQrMFR4oytcLFwQBhUZFkamMD9/9gvVrNtFvcA+e7v4wGpsAgoBKq8JWLkmkoBBJzcqmb7cRFBYU0a5Da5aseYWocg9emenZTB41hz927+G1DfNo1iKBsYNf5sC+/+qEdBj2wmQOHThCSGgwGz5cTpPmCRe7WRedy71/Hvrmdw5+/Ts3v/Qwglj1pRbHj51mzpSlPPfC08TERdV4uzRqkWb1DaRklmE01XzUg9VkJv+fREI7NkIT6Z7V+o/de9i143dWvjUf0U9LSbwhl9WsOS73/nmpUdm4DK5jc3F2AcaiUpRaNZYyd8mn0qoxn93uMkaLApJNQqVTu4zDnj7DEylJaQzsNZbM9CzWf7CcRg3qUVZq5Ojxkwx6fgJNmyewaNXLBKrVGK02Ptj0Oetee9erdPhqy7fMnbYcgHHTh/LwE/de1CUY+XkFfPDOZ7y26E0AZi6eyJ333kJAoPffyaWG3Derj6M/eUMToMMQ7v67LM7Kx+ghmbKjXwqCgKh0HedsVgkrNvYfOsrIAVOx2Wx07/UYfQd2RysoPPbB6t4fKnLi2Gn6Pj0MlVrFm+8vp0GjeoA9T9pvP//JxBGzufXOzn6XDv2fHUnymTTi4mN4Y/NS4hvE+eWzZC4Pqi0eWrduzZw5c3j00UcJDAzkn3/+oXHjxhw4cIDbbruNrKxLOxuqfHOunKrUDi5fi7j8/3fofx85ZcWEavQuyyvK1xqWJIlj/53g+aeGuWS6b9ehDUvWzHCTD6kp6TRv1QStVkNGWiYZ6dk0b9W4TkgHB7J8sHO598+dr36GqbiUdo/dXK3zfty2i3ff/IgREwagVFU752+lBAcoqR+t43RKSY0nlwSQkMj9+xQBTaIISIh223/65Bk+fOdzZi+dTEycf6I6fFGaloKERHDTVrX+2XWJy71/XmpUZawtP3ae73mVHe/pMyqSkpRGYWExzVokOOVhaUkpRw6fICIyjHr1z0m9vNwCjh85SdMWCT6lg4OLKR8qSgcHl5t8kPtm9TnffpFzOp1tczd7Pe+uid0Ja+g6DpaWlvH7L38zvP9kbLZz8r/7848zcHjvCyqh6YsTx06jVCqd0sFBdlYuJ4+fJq5eTK1IBweyfJA5r+SSHTp0cNuu0WgoLpbD06509qz7BvFErtecDt6kA8C+Pf8yauB0MtIyndsio8Np16E1Wq0GgKiYSK66umWdkg5gX//W5+nh8rKLyxjJJpF9IoWg2PPJ75BERGSYX6QD+K+ihQMBAYVejaXQc2WLqLMlQs+cTvJPAypBqTdgLSnGZpFL+cnInA9x8TG0aNXEJWJJp9dxdcc2LtIBICQ0iGuuv7pK0gFgwYxXL8qyC2/SAWDq6LnysguZGsGbdADYvPFT1ix/i9ycPL98duOmDd2kA0B4RCjXXt++VqUD2AXmC91HyssurmCqLR4SEhLYu3ev2/ZvvvmGVq3kt0kycPKXAx63+5IODjzJh7qCN+ngQJYPlzcFqdmYS00En0diydMnk1wifWoarR8rWjhQ6NSYCz2Hher0OgKDA0g8nezXNnhDobe/tTQXVl5OTEZGpmbxJR0c1LZ88CUdHMjyQeZC8SUdHPhbPtQ23qSDA1k+XNlUWzyMGjWKwYMH88EHHyBJEr///juzZ89m4sSJjBs3zh9tlKkj5OXmM2X0PK/SwcG+Pf+y5cOvKSv1/Pb0cqS0pJQP3/vCq3RwkJebz/TxC+vMAHQlkXk8BUEUCIoNq9Z5VquVpMQUomP8V9FCo1H4raKFA6VOjbXECF4mV5HR4SSevDjiQVQqETVaTPm5F+XzZWSuZAoLilgw47VKj1s0c2WtiYfszBxWLl5f6XEzJiykpJJ19jIy3igrLWPC8JlepYODzRs/5dTxM7XUKv+Rn1/Ia4ve8CodHKQkpfHqwnWXTHJZmdqj2uLhhRdeYP78+UyZMoWSkhKeffZZVq9ezfLly+nWrZs/2ihTRwgNC2HJmlcqXdvV9dG7eOrZh9HqtLXUMv+j0+vo3vtx7u56m8/jGibEs+DVaX5b7yfjP7KOpRAYFYqimsslUlMysJgtfot4EARQKwVMZv+KB4VeDTawFBs97o+OjuT0ySQuVlVLpd6AuagAqZIJoIyMTM0SHhHKq+vnolAovB4jiiIr3phDRGT1I8bOh5h60Sxa9bLH0oIOlCola95ZREiYnDNB5vwIDArgjc1L0VUyn50yexRNW1z+Ob6CgwMZNWkQHa69yudxHa69itGTB13UpLIyF4fzSi/eo0cPjh49SlFREWlpaSQlJdGvX7+abptMFTGbzBevRr0A6iA9oqJqf0r16seybtMSr/Kh66N3MW7qEMIiQp3bTKbzX5ctSRLmCzi/JomIDGPiK8O9yoeGCfGsfXex39bcyfiXrGPJBMVVL9oB7IkXAaL8FPGgUYkIguC3UpoOFDp7HhazlzwP0bGRFOYXXrR63kpDANhsmIvkNywyMgAx7RLQBOqqfZ6x1IjFYqny8RqthutuaO9VPjikQ6cbO6Ko4lziQtHrddx02/Ve5YNDOrS/ps1lm1NK5uKjVCpp0bop6z9c7lU+TJk9ivsfvpPAoIDz/hxv81yLxYLV6l7Jxtc5le2rjKiYCBaunOFVPnS49ioWrnzZr8tLZS5dqn2HLy0tpaSkBAC9Xk9paSnLli3j22+/rfHGyVSOyWRiz18HOH7kVO3LBwFaPXEz3//yO627d7lg+eBJOqQmp7P9m52VLs/whCRJHDtykn/+/heTyb302MXAm3yQpcPlTUlOISU5hQTXq748OH0iibDwEDRnE6jWNFq1vV+a/LzUQlSIiBolFi95HqJj7WVCT524OOGkokqNoFRhLpCXW8jI1L+pNXnhKlo8c0u1Sv8aS438s+dfDh84WiPyobx0MJlM/O/L70lLyajWz3K+eJMPsnSQqUl8yYeakA4pSWls+2YnhQWuuUgsZgsH/jnMkUPH3ZZ65OcV8n+fbyMt1b2vZaRn8fnH/yMv5/xfEniTD7J0kKm2eHjkkUd4++23AcjLy6NTp04sXryYRx55hNWrV1frWnPnzuW6664jMDCQqKgoHn30Uf777z+f52zcuBFBEFy+tNq6E5JfHUwmE3v+OMDA58bw/FNDa10+tHriZt7/8hvmTl/OynXvXZB88CYdBvQczfihr/C/L7ZXSz44pEOfp4bxYs/R7P3r0pUPsnS4/Mk6bs9dcH6JJc/4dRB25HeojVuDQu89wWRQcAD6AL0zwqO2EQQBpSEAU37exYsQk5G5BKh/U2tOluUzZdx8xoyeRX5Z1fIpOaTDoOfH07/HqAuWDxWlwyfvf8WUUXMY0nfCRZMPsnSQ8Qee5ENNSYeBz41h/NBX2PrV9075YDFbOLDvMP27j6TvM8P57+Axp3zIzyvk401fMG3MPIa/MNlFPmSkZzFuyAxembiYja+/X6PyQZYOMgCCVM0ZWEREBDt27KBNmza88cYbvPrqq+zZs4dPPvmEadOmcejQoSpf67777qNbt25cd911WCwWJk2axIEDBzh48CAGg+fayRs3bmT48OEugkIQBKKj3WvHe6Ku1Dp2SIeXeo/FYrYP/EHBgWz86FWaNG9EWUEJJh8JkdQGHbpgz7/j4uwCjEW+kylZVAKvLVnPZx/9z7mty503MmnGcDQ2AUEUERXn3iB4+7zkM6l8+O7n9O7/jFM6lBYUk52Tx6A+413ejk6eOYI77ryJgACD17aDq3RwJK65FCcTWZk5bFy7mWeff0KWDme5XPvnX5u+J3X/STo9f0+1zrPZbAzuM4HOt1xLpxs7+qVtDWN1iAJk5PhfvJUm51CWWUD0HW0A97eoH2/+koAAPSMmDPB7WzxhLSulJOUMgU1aoDLIa0ury+XaP/1NaX7xeY23lZ1X8VzH8QqVElOJ51wqDjQBOgzhQW6fY5Zs/Pjjr7wyabHz2AaN6rH2vSXUqzAOubRPKfLfsVMMen48JqP9XmII0LPuvSW0vKoZSmXVc9sYy4z88etebFabi3RYOmeN85jmrZrw2vp5xMRFVfm6F0JJSSm//PgbwaHBl9Q8oarIfbP6+Op/olKBpczzMmZBEFBoVFjKPI+par0Gq9mzkFMatJw6ncThg8e4p+ttBAYFnPf9wyEdys+Tp80dwz0P3MaJY6fp330kxnJ9df0Hy4mLj+HjTV+yfP7rznNaXdWc5W/MRqFQMHbwy/z9+z7nvr4vPcvzL3YjJCzYa/sqIyMti/Wr36PvS8/K0kGGaheNLykpITDQPmH79ttvefzxxxFFkRtuuIHTp09X61rffPONy/cbN24kKiqKv/76i1tvvdXreYIgEBNz5T6oeZIOAAX5hTz/1FA2fvQqUSHBbH3lXa/XuHdaT68P7xajiW1zN3s+8ezyig//t43PP/6fy64d23chCDBt3pgqJ4iqVz+WF4f2whCgd27zJB0AZk9dhqnUxH0P3u617Z6kA9jt78DnxlxS8iEiMoyXRvRx+dllLk8yjyYRXK/60Q5pKRmYjCZiYv03udaqRYpLPa/xrGkUBg1SihVrmQWFVuW2PzYuin1//4sk2ZNe1jaiRougUGLKz5XFg0yNYSouPa/xVhfsW6J7+5zO/buye93XPo+9d1pPt88pKixi21c/uEgHgMRTyQzoMcpNPjg+r9GtbaFhCIP6THBKB4DiohL69xhVbfmg0Wq49oarQRI8SgeAI4eOM6TvhFqTD3q9jpu6XI9Spbgk5gcy/sdX/8s5ne59HgzcNbE7YQ1dX3jmp2T5vA+AvV+2aN2Uho0bEHB27nc+9w9P0gHg/7Z8S3yDWIb2neiUDmDvqzu270IURbcSsocOHGH4C5MZM2UQRw4dd9m3fvUmgAuSD1ExEQwd21+e68oA57HUomnTpnz22WecOXOGrVu3cs899jd8GRkZF2xZ8/PtIT1hYb4TtBUVFdGwYUPq16/PI488wr///ntBn3s54U06OHDIh7TsXAJjqp/ozifCueUVFaWDgx+37eKVCYvIysyu8mXL34xSk9M9SgcHC+es4vvtv3hcduFNOjhwyIdLadmFfCO+/DEWl1GQmnNe+R1OnkgE7IkX/YFCBJVS9HtFC+fn6e0Tdm95HmLrRVNUWEJWRk6ttKcizuUWebnycguZK4qiwiK2fvUDMyYs8rjfIR+Sk1zL4HmTDg4c8qG6yy60Wq1X6eDAIR9qbdmFQSdLBxm/o1QqndLhfPAmHa7p1I4efZ90kw4A/Yc+R2lJmZt0cHDowBEWzlzJ3OVTCAh0lRzrV2+64GUX8lxXxkG1xcO0adMYM2YMjRo14vrrr6dz586APfqhQ4cO590Qm83GiBEjuOmmm7jqKu9lWFq0aMH69ev5/PPPeffdd7HZbNx4440kJSV5PN5oNFJQUODydTlz8niiV+ngoCC/kL7dhtPm2S4oNe5vHc+XJvdcw9c7d/HlZ9/5PO7HbbtYPGtVtbPX52Tn8lLvsZUmn5s9dRm7f/rD7XeQkZ7lVTo4cMiHulAvuS5QF/pn1rGz+R3OQzycOn6GsIhQvyWW1KjtSdxqSzyIaiUoRcwFJR73x8bZ3xCdOHaqVtrjCaUhAMlixlJSXPnBVzh1oX/KgMVi5bdf/vYqHRwknkrmpefGkJNlT8AqqpSEdkzwKh0cOORDekpmldtkMpn4futPXqWDgyOHjjO8/2RysuWksOWR++aViX2ePM5tnhxbL5qhY/szcfgsN+nw0OP3EhQUwIY13iM4AA7/e5S1y99i3oqpbvvWr97Elg+/pqTE99IwGZnKqLZ4ePLJJ0lMTOTPP/90WSpx5513snTp0vNuyODBgzlw4ADvv/++z+M6d+5Mr169aN++PV26dOHTTz8lMjKStWvXejx+7ty5BAcHO7/q169/3m28FIiICOOu+70vQ3Hw/IvPkLbvJBZjzZWSTP/7GA88cDth4SE+jwsINND7xW7Vrs+r0+sYMX4Aouj7z7JVm2a069gGpco1rFOr1dD7xWcq/Zx7ut5GeLkkljIXj7rQPzOPJqMJ0qMNqr7RP3kskRg/RTsAaDUiNknCbKmdt/sCAkq9BlO+58mJTq8jNDyE40dO1kp7PKHQ6uzLLfIuTtTF5URd6J8yoFQquOrqVrRu28LncYIgMGLCAHR6e4lNm9mCUoK77+9S6Wc80e1BVOqqr95Vq9V0uqkjjZs2rLTtIyYMwBBQ9SUpVwJy37wy0el1jJjgPk9OS8ng6H8nuNPD88FPP/xKk+YJNGrs+29EqVLSs99TbNrwidu+uPgY7rq/C3p99cvvysiU57wKJsfExNChQweXP/xOnTrRsmXL82rEkCFD+Oqrr/jhhx+Ij4+v1rkqlYoOHTpw7Ngxj/snTpxIfn6+8+vMmcv7TXd4ZBjjpw3lvofv8HrM8PEv8vBj93Bq294a/eyizHwSv/qT11bP8iofAgINrP9gOc1bNalUIFREp9Ny/c3XsHTNK17Pbdm6KUvWvOJxTXxwSBBP93yEoWNf8PoZXR+5i7FTBxMeWcPLUGTOi7rQPzOPJBEcF+6xFrwvLBYriaeTiK1XtcS454NOLWKupWgHB0qDGouXiAewT2COHTlVew2qwLnqFjnycotKqAv9U8ZOdGwky9fN9iofBEFg6dqZdL7lOnT6c5XC/nj1C14c+CwPPHq312v3euFpevV/utqJ4+LqxbDq7QVe5YNSqWDlxgV07NQOjUZeAlEeuW9emeh0Wm64+RqWvj7LZZ4sSRJzpi6jw7VtefBx1yTXebn5TBoxm3HTh3qVD0qVklmLJ/LFx9+wa+cfLvvi4mNYt2kp9RvG1fwPJHPFcV7ioaaQJIkhQ4awZcsWvv/+exISEqp9DavVyv79+4mNjfW4X6PREBQU5PJ1ueNLPgwf/yJPPvswGkHh4cwLxyEf1r27xE0+XIh0cKDTabm6XUvmL57kdo2WrZvyyoxRBKi8h6X7kg+ydLj0uNz7p7nUSO6ZTELiqx+1cOZ0MlaL1bn8wB9o1QpM5tp9uFbqtdiMFqwmz9FWcfExnDmdRJmXjOC1gSogEMliwVLkfVmWzOXfP2Vc8SYfvEkHAGy+5cP5SgcH3uSDLB18I/fNKxdf8mHLB18zZEw/nuj+kMs5ebn5HPjnMCs3LnCTD0qVktVvLaBJs4b89ds/Lvtk6SBT01xU8TB48GDeffddNm3aRGBgIGlpaaSlpVFaei5Mt1evXkycONH5/SuvvMK3337LiRMn+Pvvv+nZsyenT5/mhRe8v+Wui3iSDw7pEBzi32ztRZn5BNhEl8iHmpAODhSSgDatxEU+OKTDoU07oJK3lJ7kgywdZPxB1rEUkCRC4s8jseSxRBQKkcjo6p9bVTTq2kss6UARYBeDlnzPUQ/xDWKxWSVOHD1Vi61yRdRoEVUqjHlVT4IrI1MXqCgffEoHB17kw4VKBwcV5YMsHWRkfONJPrS6qjnL1s0irl4MQ8e6yoe+Lz1Lt+cepX7DONa8s8gpH+zSYSEdrmtLk2YJrNu81NnnZOkg4w8E6SLGmnoLTd6wYQPPP/88ALfddhuNGjVi48aNAIwcOZJPP/2UtLQ0QkNDueaaa5g1a1aVE1vWlVrHjrq/pTYri+etpkXLJjz82D3OSAelRo3FRzIob3WBAYqz8jEWl/n8fLVBg2S1kZGXz/AXJ7Nw5cu0aN30gqUDnPvZrILEP/sOs/bVd1i86mV7pIMk+Wx7efLzCvjw3c85fuSULB0uEy63/vnPJz9xcvdBOr9wf7WXWrzx2rucOnmGnv2e8kvbNCqRZg0MpGaWUWaqPfkgIZG39zSGBuEENHWPRJMkGyuXrOeu+7vw6FP311q7KmLMzcaUn0to66sRRP9EiNU1Lrf+WVs4xixvVDYeg+uYXP56NquEZHPtvyq9BnOJEbDPoxzTOEEUERWC2/U8kZ6aycgBU3hhcE+v0sHTz1Vss/DqwjcIjwilZ7+narTUZUpyGkP7TmTMlMGydKgmct+sPsXZBRiLPPdblVaN2Wj2+qJLY9BiiHAtL1nZfQA898vKzvPVl0tLy/j15794fcXbLH19pssy5JzsXF5d+CbBIYFu5TBTktIY0mcC418eRofrrnJWc7GYLRzYd5hpY+ezcsN8WTrI1DgXVTxcDOrKzdlRL1gQBFo+eROlOUWc2r7Xuf/eaT0Jjju/N6mV1S8G1xrGuTl5BIcE1Yh0qEhpaRklxaXnnQwyP68Ai9kiS4fLhMutf343ZxMqvYbW93eq9rkThs2kfqN63Hlf5cliz4fgACX1o3WcTinBVst3+cIjKQgqBWHXNPG4f8sHXyMqBMZPH1q7DSuHzWyi+MwpDPUT0ISGX7R2XE5cbv3zUsExXvui/Jhd2fGd+3dl97qv3c6rLtlZuej1Ou+RDl74f/buOkyq6o/j+Htyd7aLpbtLQkIUA0VQ7J8CgkEIqCDd3d0tISUCYmFhUSKCiIJJdyzbXTM78ftjnWFnd2aLnc3v63n2eeTOnXvPrHvm3vnM95xz+1YYSpWS8ndZ6eBIdGQMnt6eEjrkkfTNvMvpXjdjP8vsbvpdQUtJSSUlKYUAB/fJUZExKJUK/AP8sjwWHRWLl7dHliVkjWlGEuIT8c9hInkh8iP3UxCLYslisXDmoyNF2gZHb2gFRadzR6fL201RRr5+cgEWrmFITiXmRgT1Hsv7MsLx8YlEhEfRtv29LmhZOnc3FWlGc6GHDgBqT3dSI+IBC5C1EqRajcr8uP8oer2hyD5gKDVaVO469DGREjyIMim/gb4rJ8R19OFJCOFcdvfJ2fVxZ5PEqzVqCR2EyxTpHA9CCFFSRZy/BRYL/lXz/q2fdTnJSlUqFHSzbHRFML+DlcrLDUuaCVOS3uHj1WpVwWQ0cakIV7cA0Hj7YExMwGRw3E4hhBBCCFEwJHgQQoh8CDt3A3dfT3R+Xnl+7sVzV/D29XZpRY7OTVVkwYPaK/3bF4OTCSbLlQvA08uDf/86V5jNykLt6Q1KJfroyCJthxBCCCFEaSfBgxBC5EPYmWv5qnYAOH/2kkurHTRqBSqVAn0RBQ9KlQqVToshNsnJHgpq1K7G33+cLtR2ZWmFUonGyxt9dCQWS9H8roQQQgghygIJHoQQIo+SYxJICI3Bv1rexzobDGlcu3yTKlVdOMzCTfXfuYruw7TK0w1DjOOKB4Cadapx6/ptYqLjCrFVWWm8/bAY00iLiy3SdgghhBBClGYSPAghRB6FnbkOgH+1fMzvcOEqJpOJKtUqF3SzbHRuSoxGM6Yi/BJf7e2OKTEVs9Hk8PEataqhUCr48/d/Crll9lRubqjcdaRGhRdpO4QQQgghSjNZ1aIImU3G9G/aEhKwmE1ovH1RajQo1Zocn6v11NF5yqu2fyvVKtJS7qwTbjZZiAuJtNs/uzW9M3LzdKfj+B457uMqd7OmsRCFIfTfa3iX90ejc8vzc8+fuYS7zo1ywa5b4lXnpiqyYRZWGi8dAGkxSbiVyzqXhU7nTtXqlTn129888vgDhd08OxofP1LDb2NMSUat8yjStpRVZmMaZoOetMQEFCoVGi8fFGoNSpWqqJt219Ru2hyvqeoMq7tkvL6bTRYsZvu+rNHdOZ5SrbK71mc8hvU6KddU4UoWixlzWhrGpETMBgNqD09U7u4oNcV7SdSc7nW1Hm5299l2j3nqsmxLiopHn+i8nwG4eenwDJTV1kTZJcFDETGbjOijIkkJvWnblhJ6C42vP56Vqub4hq3z9bS7UYgLicx2PeLOU17N9Y2F0ZCW7bGsx3MVQ1JKtmuY5+W1CFHQzCYzoWeuUalpzXw9/+y/F6hSrTIKpesKznRuKuKT0lx2/NxQuqtRaFQYYhIdBg8AdevX4tAPP5OUlIKngxu5wqL29EKhVpMaEYpXtVpF1o6yypRmIOnGFYyJCXbbPavUQOPrX+LDB6PekKdraubre2Y5Xe+tx7MeQ66pwlUsFgvG5CQSLl+ADPPkKLVueNeqh0qb93C+sOR0r9t5yqv4VgrK9fH0iSk59suO43tI8CDKNBlqUUTMer1d6GCVFhdDWkJ8EbRICJEb0VdDSUvWE1Aj73M06A0GLl24SvWarhtmodX8N7FkEc7vAKBAgcbLHUOMswkmoX6j2pgtZk4e/7MQW5aVQqFA6+uPITZaltYsZBaLBUNMZJbQASDp5lUsaQYHzxJCFAfmNAOJVy7ahQ4AZoOe5FvXMZuMRdQyIURxJMFDEbBYLKRGRTh9PDUiFHNa0X5bKYRw7PbfV9DotPhUyPtQiYvnrmAymqhWo4oLWpbO47+JJYs6eABQ+ehIi0/G4mSyCU8vT6pWr8yxn34r5JZlpfH2RaFUkRoRVtRNKVMsaWmkRjifX0MfG1OIrRFC5IVZn4rF7Hgen7SEOCxGCR6EEHdI8FAULBYsRufBgtlkxGKxFGKDhBC5FfL3FQKqV0ChVOT5uf/+eQ4vb08Cy7lwfgd3FYY0M+Zi8Bai8daBGdKcLqsJTZs35Nzpi4SHZR2nXpgUSiUaXz/00RGY5Vv2QmPBgiWbb0Xl/4UQxZc5h2BB7mWFEBlJ8FAEFEolGh9fp4+rPb1RlPAxrUKURkmRccTdiiSwdsV8Pf+fP89QvWZVFIq8hxa55eGuKhbVDgAqnQaFRoU+OmsZvVW9hrVw17lx6Iejhdgyx7S+fqBQkBIeWtRNKTMUShVqDy+nj2uzuVYKIYqWyt353DwKlRqFUu5lhRB3SPBQRDTevigcrV6hUKArX6nET6aVncQE599+ClGc3frrMgqlkoDq5fP83JiYOG7duE3N2lVd0LJ0CgW4a5XFJnhQoEDjrUMfmeh0H7VaQ9PmjTh84BipqUU7v4JCqULr648+KkLmeigkSrUaXSXHfUKpdUOlk0kPi5vkpOQi76uieFBqNKi9HU+WqKtYBaUm51XaxB0J8YkYZXiKKMUkeCgiKq0bPrXro/Hxs21Te3jiU7tBsZ4F+G7duhnKsnnriAyPKuqmCJFnN09dxL9aOdRueb+Z+uvUaRQKBTXqVHNBy9J5uKtQKBSkGhyPuS0Kah8dxoQUzGnOb6ZatrkHQ6qeg98fKcSWOab19UehUpJy+1ZRN6XMULu54127/p1vTxUKtH6B/82KX7yX5CtrkpNS+HH/MU7++qeEDwKlWoNXlRq4l6sA/63UpNRo8axWC62Pn0ur+0qb+LgEPv/oG87+e0HCB1FqKSxlbABWfHw8vr6+xMXF4eNT9EvamE2m9PGtFgsKlRqlOn8rnBbkOt05HSs/x0tLSSUuNZW3e43m+tVbtH+kLVNmj0CnVKNUqzDqjShV6RcopVpFWsqdcb0KpdL2WF7PLUqW4tY/M0qNT+aLsRuo91iLfC2luXLhRiIjo+nR638uaF26cv5agny1XA/Nvv8WJpMhjbg/r+PXvDru5f2c7vf91we5cO4K85ZPwtPLo/Aa6IAhPhZ9ZDg+dRpkOwygrHF1/zSnpaVPVKdQoFCrUZaSMu2CvqYmRcWjT8z+eG5eOtuyfRnPbzZZsJjtK6I0Oi1moynHdqSHDkcZO3gGKpWK1Vvm0bJNM9zdS++XJSVFUV87LWZz+nwPFjMolahyWBK+OMipH2XsQwVxPGfHTIlLIjExkS8/38ey+evR6dzZsGMJ1StVBLNZ7nlFqZK/T7miwChVKiiAYRU5rftdVMcCSEtJJeRmGKNGzuL61fRvEY8cOs60cQsZ8nYvvHU6jq3/2unz87qWshCucPOPiyiAoNqV8vzcVL2Bf/46ywMPtyn4hmXg6a4itZgMs7BSaTUo3TXoIxOyDR4eeLgNZ/45zye7vuL1ft0Kr4EOaLx9SYuPI+nWdXzqNJRv7QpJell26SvNLuhrqlFvYN/cndnu03nKqw7PHxcSyXeznT+385RXHbY1Y+gAYDKZGNR7nIQPAkj/gqikVSfl1I8y9qHc8Az0yVNQYZWYmMinH+5l9fItAKSkpNK/5whWrZtN7NELtOn1uAQPotSQoRbC5eJSU+1CB6ujP/3GirVbUfjpUKpLxzdbovS6ceIcftWC0Xrk/Qb7nz/OYEwzUrdBLRe07I70iSWLzzALK42vB/rIeMB5gZ2nlycPdriPH384yl+nzhRe4xxQKBS4BZbDlJKMPrpoV9sQoqhlDh2srOGDDLsQIn/i4xL48vN9ttDBKiUllXfenIjf/XVtQ1iEKA3kr1m41K2bobbhFY4c/ek35kxfQaMeD0v4IIqt5JgEIi7eIrh+lXw9/7df/qBc+SD8A/wKtmEZ6NyUKJUKUvTFq+IB0oMHc6oRY0Jqtvu1aN2UWvVqsH7FVqfvGYVFrfNA7eVDyu2bsqSjKLOchQ5WEj4IkT/xcQl8svMrls1f7/Bxa/hwLeS2zPkgSg0JHoTLxETHMXHY7Bw/QBw5dJyv9/1IrUebF07DhMij6yfOoVQqKVencp6fm5qq54/f/6Fh47ouaNkdXjo1JrMFQ1oxDB583EGpIDUiPtv9FAolT7/wOL7+PiyYvpI/fv+nkFromHtgOVBA0s1rsh69KJPCQiOchg5WJpOJd/qMIy42+/4thLjj7OmLLJ37brb7pKSk8tbro0mMl9XgROkgwYNwGf8AX6YtGENQcEC2+zVqWo9nnnyUq4f/LqSWCZF7FouFK0dPE1Sncr5Wszh54i/SDGnUb1zHBa27w1OnIlVf/IZZQHqgoPH1IDU8Lsd93dzc6P7q81SuWpGVCzaydO46/jp1hrRsVsVwFYVKhVtQedIS4jDEyEo8ouwJDPJn5KSBOe43Y9E4vLxkHLoQuVW3fk1e6fNitvuo1SoWrZ6GzlNXSK0SwrVkcknhUjVqVWXjjqX06zmcyPDoLI83bFKXhcuncGLllxhTpZxZFD/RV0NJCI2mZruG+Xr+kUPHqVq9Mn7+vgXcsjuUCvDQqYiJS3PZOe6W1t+DpMsRmPRpqHIIcLRuWl7o3oWz/17glyO/s3zeOrRaDXUb1qZhk7o0a9GYSlUrFEq7NZ5eGL18SAq5jtrTC5Wbe6GcV4jiwMfXmxe6dQFg8aw1DveZs2wiHR5vX+Sr0QhRkvgH+DFgyOuYLRZ2bvk0y+NqtYrFK6bSsF4t3NxK1sSdQjgjFQ/C5YJ8fFi5emaWyoeGTeoyfepwFPF6CR1EsXX5yD+4+3jgX618np8bFhrBuX8v0rR5Axe07A5PnQqlQkFyMa14AND4eYIC9GE5Vz2kU9CgcT16v/kyvd96mXYPtSY5KYXPP/qGyaPmMWP8Yn4//heFMQLCPSgYhUpN4rVLWZYiFKK0s4YPjiofJHQQIv/8A/zo2/9luvV4xm67NXTgUhRKGeUnShEJHoTLWUxmrn7xq134YA0dTu/4UW7kRbFlSErl+olzVGhSA4Uy70sqHvrhKDoPd+o3cu0wCy8PNWlGM0Zj8b1DUapUqL11pIbG5vGZCsoFB9Hm/pa81PMZBo/qxwvduwAW1izZxJI5a4mNce3YcoVSia58RUz6VJJuXpX5HkSZ4yh8kNBBiLvnrlTx9MPtbeFDxtAh4vT1Im6dEAVLYSljd1Dx8fH4+voSFxeHj0/e19sVeZcSl4QhKQWFSklkfDxL5rzLhOlD8dRowWJBqVZh1BtRqhx/sNN66mQN4zKiuPXPc/tO8tenR7iv35O4eeatxD4lJZVRA6dyT/NGPPz4Ay5qYbp61TxJ1ZuIKsZDLQBSI+JJvhZBuUcaodLmfb6MzC5fvMp3Xx5EpVIybPxbVKuR98k/8yItIZ7UiFA8KlbBvVzhDPUoTopb/yyrrNfU7Di7bub03Jyut/FxCezZ/Q0BQX4SOhQj0jfz7m77QkG3I9VsYuumj2j/cBsa1qtlq3SQe2BRmkjwIApdbEycS8e7i5KrOPVPs9nM3kmb8Qr2p9GTrfP8/G++OMBnH35F/8Gv4+3j5YIWpnPXKqlT1ZPbkamkFsOlNDMym0zEnrqKd4NKeFYrVyDHTEpM4tNdXxMXG8/oye9QvVb+ljzNLX1UBIa4GLxq1EHr4+fScxU3xal/iqITF5uAWq2S0KEYkb5ZOsRGx6Hz1MmcDqLUkqEWotBJ6CBKgpsnL5AcnUDVe/O+DGaq3sC3X+6n8T0NXRo6APh4pi+jWdxDB0gfbqHx8yDlVkyBHdPTy5Purz2Pn78vS+auJSLMtatPaAOCUHt4kXjtMsbkRJeeS4jiyNfPW0IHIVzAL8BXQgdRqknwIIQQmVgsFs58cwL/6sF4B/vl+fk/fHWQlJRU7mvfsuAbl4mvl5rk1OI7qWRmboHeGONTMCamFtgxtW5aXuz5DFqNhuXz15Oaoi+wY2emUChwD66A0k1LwpULmFKzL3kXQgghhBASPAghRBYhf14m7lYk1dvkfTWKmOg49n6xnxatmuLr4uoed60SN62KpGSjS89TkDR+Hig0KpJvFWxlgk7nzgvdnyIqMoYt63a5dLULhVKJR/nKKFRq4i+fx2RwXdAhhBBCCFEaSPAghBAZWMwW/v7iKH5Vy+FXJe/zEOzc+gkajZr7H8r7vBB55eetwWiykFIChllYKRRKtIFepNyKwWIq2HYHBPnzxDOPcuLYKQ4fOFqgx85MoVKhq5A+mWXCpXOYDLIksBBCCCGEMxI8CCFEBtd+PUN8SBQ172+c5+ceP3qS34//xWNPPISbu5sLWneHQgF+3uoSVe1g5V7OF0uaKR9La+asfqM6NLu3MTu3fMbtkPACP35GSrUaj0pVsFgsJFw6K5UPQgghhBBOSPAghBD/MerT+OuznwmqWxnfSoF5em5EeBTvb9xNg8Z1qd+ojotaeIePpxq1SklCCQweVO4a1L46kq5FAAU/JqJDp/Z4+3iycdX7GI2unf9CqdbgUdEaPpyT8EEIIYQQwoEiDR7mzp1L69at8fb2Jjg4mOeff55z587l+LyPPvqIBg0a4O7uTtOmTdm7d28htLZ4S4lLIi4k0ulPSlxSUTdRiGLv9De/YkhMofaDTfP0vNRUPSsXbcRd506npx5xTeMyCfLTkpxqIs1YMldEdq/ghzEhFUNUwa8ModFoeOr5x7l25SZf79lX4MfPTKnR2Cof4i+exaQvuIkzRemV03Vbrt1CuI7cNwtR+NRFefIff/yRQYMG0bp1a4xGIxMmTKBTp06cPn0aT09Ph885evQoPXr0YO7cuTz99NPs2LGD559/npMnT9KkSZNCfgXFhyEphe9mbHf6eOcpr6Lzdfw7FUJAXEgU5374neptGuSpr5hMJtYt30ZEWCQ9+7zk8iEWAJ46FTo3FbcjS+4HXI2PDpWnlsRLYQQEehf48StUKs997e/lq0+/o3nLRlSvVbXAz5GRUq3Bo1JVUm7fJP7iWbxr1UOtkyUHhXM5XbdBrt1CuIrcNwtR+Iq04uHbb7+ld+/eNG7cmGbNmrFlyxauX7/O77//7vQ5y5cv54knnmD06NE0bNiQmTNn0rJlS1atWlWILRdClCZmk5lft36PzteTaq3q5f55Fgub393FP3+e4dkXn6BccN6GZ+RX+QA3Ug0mUkvQpJKZKVCgqxiAISYJQ3TBVz0AtHuwDeXKB7F+1fsYDGkuOUdGSrUaXaWqKNRq4i+dJS0xweXnFEIIIYQoCYrVHA9xcXEABAQEON3n2LFjdOzY0W5b586dOXbsmMP99Xo98fHxdj9CiOKhuPTP03uPE3M9nPqd7kWpVuXqOWaLhW0bPuTYkd/o8txj1KxT3cWtTOfrpcbDXUVMnOs/SLuaxt8DlaeW+PMhuGKuB5VKyVPPdSQyPJqPPviiwI/viFKlwqNiFVRu7iRcOY8hNrpQzusKxaV/CiHsSd8UQpRExSZ4MJvNDBs2jAceeCDbIROhoaGUL1/eblv58uUJDQ11uP/cuXPx9fW1/VSt6tpyWyFE7hWH/hl+7gan9/5K9bYN8K2Yu4oFo8nEpjUfcOTgcbo8+ygNm9Z3cSvTqZQKKga6kZhiJNVQcqsdrBQo8KgahDEuhZSQWJecI7BcAA8/dj8Hvv2JU7/945JzZKZQKtFVqIza04vE65dJCb+NxVLy5uIoDv1TCJGV9E0hRElUbIKHQYMG8c8//7Br164CPe748eOJi4uz/dy4caNAjy+EyL+i7p/J0Qkc27AXvypBVG/bIFfPSdUbWL1oE8d/PsnTLzxO42YNXdzKO6qUd0ehUBAdayi0c7qaxluHNsCT+HO3MBtcs0JHyzZNqVO/Ju+t+YDI8MKpQFAoFLiXq4DWL4CU0Fsk3byKxVyywqKi7p9CCMekbwohSqIinVzS6p133uGrr77i8OHDVKlSJdt9K1SoQFhYmN22sLAwKlSo4HB/Nzc33NxcP9mbECLvirJ/GlL0/LR6DwqlgkZd2qJU5pzDxsbEs3LhBkJuhfK/l59yOLxCq1HgpVOjc1PhplWiUilQAGazBYPRgt5gIjnVRFKqibx8Dq1czh0vnYrQKD2mkvX5NUe6akEY/rlB3Jmb+DerDigK+AwKnnz2Mba9t5tVi99j/IyhuLlpC/gcDs6qUOAWEIRSoyU1MgxTaire1Wuj1Lr+3AVBrp9CFE/SN4UonR555BGaN2/OsmXLiropQMG3p0grHiwWC++88w6fffYZBw4coGbNmjk+p127duzfv99u2w8//EC7du1c1UwhRClj1KdxZPXnJEXF0/S5B9B65HwDd/XydWZOXExkRDQvv/4/u9BBpVQQ5KehThUP6lXzomKQGzp3JSazhZTU9KDBkGZGrVLg76OhekUPGtbwomYlHYG+GrQa5x+0tWoFNSrq8PNWExFjKNETSjqj0qjxrB6EPjSO5JtRLjmHu86dF7p2ITQknPUr38dciNUHGm8fPCpWwZymJ+7CaQzxsYV2biGEEEKUHQZD8a2KVViKcODpwIED2bFjB59//jn1698ZI+3r64tOpwPg9ddfp3LlysydOxdIX07z4YcfZt68eTz11FPs2rWLOXPm5Ho5zfj4eHx9fYmLi8PHx8c1L6wIpMQlYUhKcfq41lMnywKJYq8w+qchOZUja74g5no497zQHt9K2c/rYAF+3HeUHVs+Ibh8EM91fRJvHy8A3LRKgny1+HqnF48lp5hISjGRojeR3TurWqVA56bCQ6fC3U2JUqHAkGYmOdWE3mDGZLagUirQuavw9lBhNFmIjDGUinkdspN4LQJDZDwB99ZCG1DwS2wCXLpwlc8+/Jr7H2pD7zdfRqks6OoK58wmE6nhoZhSknALLIdHhSooVLmbzLQ4KK3Xz6KS03Ub5Notckf6Zt7JfbMobnr37s3WrVvttl28eJE5c+Zw4MABQkNDqVatGgMHDmTo0KF2z4uNjaV169asXr0aNzc3rly5wtGjRxk4cCBnz56lSZMmTJo0iRdeeIFTp07RvHlzAP755x9Gjx7NTz/9hKenJ506dWLp0qUEBQU5bM+VK1eoUaNGvl9jkQ61WLt2LZBexpHR5s2b6d27NwDXr1+3K4G+//772bFjB5MmTWLChAnUrVuXPXv25Cp0KM10vp7yBilEDhLCYjiy9ktSYhNzFTrExyWwdcNu/vjtb5q3akKHTg+iVqvwdFcR5KfF21ON0WgmNj6NhGRjrodOGE0WEpKNJCQbUSjA3U2Jzk2Fu1aJt4cahRIsZjAYzUTFpZGYbMw2yCgtPKsFYU5NI/rkFQJa1kIb4FXg56hdtwZdnuvI3s/3kZaWRt+3e6LRFM6lUKlSoatQibT4OPTRERjiY/GsVA2Njx8KReEFIKJ4kOu2EEVH+p8obpYvX8758+dp0qQJM2bMAMDf358qVarw0UcfERgYyNGjRxkwYAAVK1akW7dutufu378fHx8ffvjhByA9jHzmmWfo0qULO3bs4Nq1awwbNszufLGxsTz66KP069ePpUuXkpKSwtixY+nWrRsHDhxw2J5y5crd1Wss0uAhN8UWhw4dyrKta9eudO3a1QUtEkKURhaLhStHT/PH7kNoPNxo0f1hPAOcfytkMpk4fOAYn+z8GoVCwfNdn6Reo9r4eqkJ9NWic1OhN5iJiNaTmGK6y7ZBSqqZlNTSXc2QGwqFAq86FUi8GEr075fwbVQVXWV/CnrOh0ZN66NSqfh6zw9EhEfx9tBeBJZzvoxzQVIoFGh9/VB7eJIaGU7itUuoPb3QlU9fBUMCCCGEEKLs8fX1RavV4uHhYTd34fTp023/XbNmTY4dO8bu3bvtggdPT082btyI9r85pN59910UCgUbNmzA3d2dRo0acevWLfr37297zqpVq2jRogVz5syxbdu0aRNVq1bl/Pnz1KtXz2F77kaxmFxSCCFcwWKxEHH+Jn9/fpSoy7cp36g6dR9phtpN43D/NEMax4+e5OvP9xF+O4KmzRvS5ZmHKF/OCz8vDSqVguRUE6GRqaSUwrkWigOlSol3vQokXY0k7p8bpEbE4VO/EipdwU6kVr9RHXx8vfjik++YNGo+L3R9gg6d2qPROv7bKGhKjQaPipUxJiehj44k4fI5VDpP3APLofX1L1FDMIQQQgjhGqtXr2bTpk1cv36dlJQUDAaDbaiEVdOmTW2hA8C5c+e45557cHd3t21r06aN3XP+/PNPDh48iJdX1urSS5cuUa9evYJ9IUjwIIQoZSwWC4nhsYT8fYVrv5wm9mYkXsF+NHvxQfyrBWfZPzVFz/mzl/jjt3/47fgfeHu50759M1q3aUy5QE80aiVGkzl9aESSEaOpDIx5KGIKhRKvmsEYfD1Iuh5JxE9ncS/vi65SANpALxS5WIEkNypWrkDvN1/m8IFf2P3BF+z94gAPPdqO1vc1o0r1yhRG8YHawxOVzgNTShKGuFiSbl4l6dY1NF4+aLx9UXt6oXLXSSWEEEIIUcbs2rWLUaNGsXjxYtq1a4e3tzcLFy7k+PHjdvt5euZ92FBiYiLPPPMM8+fPz/JYxYoV893m7JS54ME6vCM+Pr6IWyJE6eXt7Z2vD0q57Z9mk5nwf6+REpuEMUWPPjGV1NgkkiLjSIlKsO2nC/Ci6v0NuR0bw+mzZ/G8cQmzyYTJZMJiMaNQWPD20hHs703Pbu3o+/rDtueaTGYSElKJjU0hMVGf59ciCoACtNX8IFGPJSGF5HO3SAZQKsBNDRoVaJR3/u2pIT9pQavWjalfrxqn/7nA8cO/cPzwLwD4B/gRFByAj58P5csH0aJNE5RKF142PXxQuHlg0aeQlpRAWkLcnccUClBrUKg1oFKBUpUewCiVoFCgcPdAocndMp2u7p9CiPyRvilE8ZXf/pkXWq0Wk+nOEN6ff/6Z+++/n4EDB9q2Xbp0Kcfj1K9fn+3bt6PX621L7544ccJun5YtW/LJJ59Qo0YN1GrH9zaZ23O3ylzwkJCQ/qGkatWqRdwSIUqv/M6sndv+2bpGU0Z17pvj8VKiE7lx9AwKpYLH3nogT21RqZT4+Xng5+eRp+eJEqpqAO2aVM9+n5hIiqzexWKBNAOWtDvLZGVsy6Vr12nz7Iu5OpSr+6cQIn/Cw8PzNXmb9E0hXK8wVo2pUaMGx48f5+rVq3h5eVG3bl22bdvGd999R82aNXn//fc5ceIENWvWzPY4PXv2ZOLEiQwYMIBx48Zx/fp1Fi1aBGALTwYNGsSGDRvo0aMHY8aMISAggIsXL7Jr1y42btyISqXK0p6AgAC7RR/yqswFD5UqVeLGjRt3lVrFx8dTtWpVbty4IcsW5ZH87vKvJP3uvL3ztxRiQfTPglKSft93o6y8Tijdr7V+jXrExaVXSOT0OktD/8yt0vz/3Kq0v8bS/vrgzmvMOEY7L/LTN8vC7zW35Hdxh/wu7sj8u8jvtTMvRo0aRa9evWjUqBEpKSmcPXuWU6dO0b17dxQKBT169GDgwIF888032R7Hx8eHL7/8krfffpvmzZvTtGlTpkyZQs+ePW3zPlSqVImff/6ZsWPH0qlTJ/R6PdWrV+eJJ56whQuZ23O3y2kqLLlZWkLYkfWS809+d/knv7vCVVZ+32XldULZea1l5XXmRln4XZT211jaXx8UzWssC7/X3JLfxR3yu7ijtP0uPvjgA/r06UNcXBw6na5I2lDmKh6EEEIIIYQQQojSatu2bdSqVYvKlSvz559/MnbsWLp161ZkoQNI8CCEEEIIIYQQQpQaoaGhTJkyhdDQUCpWrEjXrl2ZPXt2kbZJgod8cHNzY+rUqbZZQkXuye8u/+R3V7jKyu+7rLxOKDuvtay8ztwoC7+L0v4aS/vrg6J5jWXh95pb8ru4Q34Xd5T038WYMWMYM2ZMUTfDjszxIIQQQgghhBBCCJfJ/3oYQgghhBBCCCGEEDmQ4EEIIYQQQgghhBAuI8GDEEIIIYQQQgghXEaCByGEEEIIIYQQQriMBA9CCCGEEEIIIYRwGQkehBBCCCGEEEII4TISPAghhBBCCCGEECKL1atXU6NGDdzd3Wnbti2//vprvo4jwYMQQgghhBBCCFGMmY1GTKkpGJMSMaWmYDYaXX7ODz/8kBEjRjB16lROnjxJs2bN6Ny5M+Hh4Xk+lsJisVhc0MZiy2KxkJCQgLe3NwqFoqibI4TIQPqnEMWX9E8hiifpm0KUfiaDgaSbVzAmJti2qb188KxSA5VW67Lztm3bltatW7Nq1SoAzGYzVatWZfDgwYwbNy5PxypzFQ8JCQn4+vqSkJCQ885CiEIl/VOI4kv6pxDFk/RNIUo3s9GYJXQAMCbGk3TzqssqHwwGA7///jsdO3a0bVMqlXTs2JFjx47l+XhlLngQQgghhBBCCCFKAosxLUvoYGVMjMdiTHPJeSMjIzGZTJQvX95ue/ny5QkNDc3z8Upc8FCjRg0UCkWWn0GDBhV104QQQgghhBBCiAJjMZmyf9yc/ePFhbqoG5BXJ06cwJThl//PP//w+OOP07Vr1yJslRD5o9cbcHNz3bgsUTqYzWaMRiNaF47hE0IIIYQoaAaDQe5f7pJCpcr+cWX2j+dXUFAQKpWKsLAwu+1hYWFUqFAhz8crcRUP5cqVo0KFCrafr776itq1a/Pwww8XddOEyJOY6Fg+/uALwkIjiropohgzm82cO32RUyf+wWAwFHVzhBBCCCFyJSoimp1bPyMyIrqom1KiKdQa1F4+Dh9Te/mgUGtccl6tVsu9997L/v37bdvMZjP79++nXbt2eT5eiat4yMhgMLB9+3ZGjBjhdBZfvV6PXq+3/Ts+Pr6wmieEUzHRsaxfsY0PNn/C3i/2s+TdGZSvUK6om1XopH9mzxo69O0+FH2qnrXbFtKidVP55kAUCumfQhRP0jdFSRAVEc2sSUvZ/+1hTp34m0mzRxBULqCom1UiKdVqPKvUIOnmVYyJd/q7dVULpdp1H+lHjBhBr169aNWqFW3atGHZsmUkJSXRp0+fPB+rxFU8ZLRnzx5iY2Pp3bu3033mzp2Lr6+v7adq1aqF10AhHMgYOgD8feo0I96aUiYrH6R/OpcxdEhKTMZoNPH266M5deJvqXwQhUL6pxDFk/RNUdxlDB0ADnz3E7MmLpHKh7ug0mrxqlYL33qN8anTAN96jfGqVsulS2kCdO/enUWLFjFlyhSaN2/OH3/8wbfffptlwsncUFgsFosL2lgoOnfujFar5csvv3S6j6NUuGrVqsTFxeHj47hkRQhXyRw6ZNS0RaMyV/kg/dOxzKFDRmq1SiofRKGQ/ilE8SR9UxRnmUOHjB7t/KBUPpRhJbbi4dq1a+zbt49+/fplu5+bmxs+Pj52P0IUhexCByiblQ/SP7PKLnQApPJBFBrpn0IUT9I3RXGVXegAUvlQ1pXY4GHz5s0EBwfz1FNPFXVThMhRcnIKH+/40mnoYPX3qdNMHDabmOjYwmmYKHYiwqKchg5W1vDh+tVbhdgyIYpGCS7MFEKIMiMuNp6Vi95zGjpYHfjuJ1Yu3EhcrMxNUtaUyODBbDazefNmevXqhdqFk2kIUVA8PHR0ea4jVapVsm3z8vZk/oop1KxT3bZNp3Nn2Lg38fbxKopmimLAXedOv0Gv5rjfsy89QUCgv8PHYqJiSTOkFXTTip00QxoxUbFF3QzhQsbUFGL+PYU+JqqomyKEEKWexWIhJjouz8+LiYpF5+HO6/274R/gm+2+/gG+vN6/G75+UqlT1pTI4GHfvn1cv36dvn37FnVThMi1ylUrsmHHEqpUq4SXtydzl0/i0w+/YvTkQdSsUx2dzp33di2jQZO6EqiVYb5+3rzU81mGjh3gdJ//vfwUQ8YMICDQL8tjkeHRzJ26nL//PFOqw4c0Qxp//3GGuVOXS8lmKWaIjQazGX2sBA9CCOFKFouFSxeuMm7IDEJvh+f6eVER0SyevYZTv/1DlWoV2fzRSqfhg3+AL5t2r6B23RoF1GpRkpToySXzIz4+Hl9fX5mARxSZkJuhXL18g2Xz1nH23wv4+vkwb/kkygUHUqtejTIdOkj/vCMuNoGPd3zB8vnr7bbnFDrMnLiYg98fQeumZf0Hi2narCEarWvWdy4q1tBhwKsjMegNMllVISmK/plw9SJp8bEoNVr8Gt5TKOcUoqSRa6e4W9bQoU/XIcTFxtOwST2Wb5xNhYrB2T4vKiKahTNXs/fzfag16vTJr1s14eb12/TpOtiuekJCB1EiKx6EKKnMZjNms4Xl89NDB0gfEzdu6CwsgFIpXVKkc1T5kNvQAcCgNzDglZG5qnwwm80F2nZXyhw6gExWVZqZ9amgUGBOM2ApQX+nQghRUmQOHQDO/HOeof0mZql8yHi/kDF0ADCmGdMnv3ZQ+SChgwAJHoQoNAnxidy8HsKItyZz5p8Ldo/FxcbTr8dwzp+5VKI+BArXyhg+5CV0sMpN+BAVGcPB748QG5P3MZ2FzVHoYCXhQ+lkTktD5a77779lFRchhChIjkIHq8zhw7UrN/n3r3MYjcYsoYOVo/ChVt3qEjoIQIIHIQpFQnwi0VGxjBo4zVbpkFlcbDz9e46Q8EHYSQ8fnmHw6P55Ch2ssgsfoiJjWD5vHcPfnMzW9R8W6/Ahu9DBSsKH0sViNmExm1C5uQNgNpbeOUuEEKKwZRc6WFnDh+vXbjG47zj69xjOzWshDkMHqyzhg4QO4j8SPAjhYgnxiYSHRfLZrq+dhg5WcbHxzJq0lKjImEJqnSgJfP18CAzKuoKFyWTixC+nnIYOVga9gbHvzCAxMcm2zRo67PnoGwDeW/NBsQ4fEhOTGTt4htPQwerAdz9x4tgpTCZTIbVMuIrZaARAqXUDwJImwYMQQhSU2Jg4po1dmOOylmf+Oc/HH3zBI48/QIvWTfn7jzNOQwcrY5qRsYNnkJyUgn+AXwG2WpRkEjwI4UIJ8Yl8++UBunfpxxPPPkqHTu2z3b96zSrMWTKBcsGBhdRCUZKpVCraPdg6x+U3/QN8WffBYtvFP3PoYFWcwwf/AF/e3b4ox2W6Bgx+jXYPtkalUhVSy4SrWIMGpUYL3AkihBBC3D3/AD8WrJxC9ZpVst2vQ6f21K5bg/c3fsTPP/7Ktas36fNmj2yf4+PrzYYdS2TJzFLg8OHDPPPMM1SqVAmFQsGePXvyfSwJHoRwEWvoMHPCYgyGNF59/m3eHtbbafhQvWYVVm+eT7UcLgBCZOTn78Pr/bs7DR/8A3zTx1jWqQ44Dx2sinP4ULtuDTbtXuE0fBgw+DVefaMbfv5yo1MamE3pQYNCpUKhUmMxSfAghBAFqVKVCqzbvthp+NChU3se7dSeaWMX2ioJ16/YhsZN4zR88PH1ZvNHK6hTryYKhcJlbReFIykpiWbNmrF69eq7PpYED0K4QGqqnkP7jjJzwmLbtuzCBwkdxN1wFj5kDh1io+NYs2ST09DB6r01H/Dh+3uIj09wWZvzy1n4IKFD6WMxWoMHJQqVSuZ4EEIIF3AWPjgKHaychQ8SOrhGSmwicSGRTn9SYhNddu4nn3ySWbNm8cILL9z1sdQF0B4hRCbu7m40a9GI4PJBhIdF2rZbw4fte9YCcPD7I1SvWYVVTkKHhPhEvH28Cq3douSyhg8AG1dvzxI6AHh5e/L0/zrx+cffZjtXgpe3J488/gBeXp4ub3d+WMOHWRMX06ptCywWs4QOpZDFZASFAoVCiUKpxCLzdgghhEtYw4cJw2fT4fEHOPPvBV58+WkGvDLS6ZxJ61dsY+q80bwz6g1WLXpPQgcXMiSn8t2M7U4f7zzlVXR+xf/zglQ8COEi1WpWYdOHywkuH2S3PWPlwyt9X2LV5vkOS9zCbkcwb+pyboeEFVaTRQlnDR+Gjh2QJXQAUGvUNG3WkA07lqB10zo8hpe3J5s/WkHd+rVQKovvJaJm7WqMmjSIlJQUur76nIQOpZDZZELx31wdCqVK5ngQQggXqlSlAlPnjebS+asMGdOfOvVr0qP3/5zu3+7BVjz0aDu6v/Y8o6e8I6GDyFHxvasUohRwFj4YjSbCQsPp/85rTkOHYQMm8eWn3/NO73ESPohc8/P34eXXn88SOlhlFz6UlNDBbDZz4exl+vccwbYNu9m0dgcx0bFF3SxRwCwmEwrlf8GDSilzPAghhAvduHaLt14bxZ6PvmHmhCUYjSb6v/Mqr77RNcu+7R5sxazFEyhXPhBfPx9e6NZFQgeRo+J7ZylEKZE5fFAqlSxdP4s2999LQKBflv2tocO/f50F4MK5yxI+iDzxzGGIhKPwoaSFDn26DSExIX150J1bPuXd5VslfChlLCYjCuvfolIlQy2EEMJFbly7Rb8ew7l9K/1e8+dDx5kyer7D8CFj6GDl5e0poYPIUfG9uxSimDMajZw7c5Hw0Mgc97WGD+UrlmPp+lnc1/5edDr3LPtlDh2sJHwQdys5KZl//jxr+3CeMXwICPIvsaGDlYQPpY/FZIL//h4VSiUWswQPQgiRW9eu3ODm9ds57pc5dLByFD44Ch2EyK3ie4cpRDFmNBo5/fd5Xnt+IGMGT891+LB778Y8hw5WEj6I/EpOSubgDz/T89k37T6cW8OHPfu2lujQwUrCh9LFYjbZKh5kckkhhMi9a1du0KfbEPr3HJ5t+OAsdLDKHD7MXiKhQ1mTmJjIH3/8wR9//AHAlStX+OOPP7h+/Xqej1V87zKFKKasoUO/l4eRmqrn5K9/5Tp88A/wcxg6JMQnsmLBeqehg9WFc5eZP20lcXHFb5lDUTxZQ4fxQ2cBWT+cqzVq/Px9i3XoABAfm8DAXmOchg5WO7d8yrHDvzmdhVuUHOlzPFiDBxVYLFjM5iJulRBCFG/W0CEyPJpbN247DR9iouMYN2Sm09DB6udDx9m19TPc3d0ICpbQoaz57bffaNGiBS1atABgxIgRtGjRgilTpuT5WAqLxWIp6AYWZ/Hx8fj6+hIXF4ePj8yCLvImc+iQUcs297Bg5VSCKwQ5eXb2boeEMajXWC6ev+J0n2o1KrPugyVUrlIhX+co7qR/FqzMoUNGPXr/j7eG9sI/wK/wG5YPRqORc6cv0rfbUFJSUp3u91zXJxg27i0Cg/wLsXVlQ2H3z9gzf6H29MQtoBxpSYmkhoXg16gZSrXG5ecWoiSRa6ewyhg6ZFS5akU27FhKlWoV7fe/fIM+3bPun9G9bZsxf+WULBOli8KTEpuIIdn5vY/Ww12W0xSiNMkudADyVPngSMVK5Vm9dT516tV0+HhpDx1EwcoudICSNyxBrVZTv1EdNu1e7rBqCCR0KG0sZjMorMtppt+uyHALIYRwzFnoADitfKheqyqbP1xBUHCAw2NK6FA86Py88K0U5PSnJIQOIMGDELliNps5++9Fp6GDlTV8iAiPytd5nIUPEjqIvEhOTuHwgV+chg5WO7d8yrrl24guBeGDhA6lT/ocD+mzpNuCBxlqIYQQWVy/estp6GBlDR9CbobabXcWPkjoIAqaBA9C5IJSqcTXz4dnuz5B7bo1nO73Qvcu3Ne+FWq1OlfHTXVQMp45fJDQQeSV2WymZu3qTisDMmreqglqlaoQWpU7jvpERo7CBwkdSh+L2QwWS/rcDkjFgxBCZMfdXUuVqhVz3K9G7WpotJosQxYzhw8FGTrkdF13/Bw9RqPxrs8tihcJHoTIpYBAP5q1bMzoKYMchg/9Br1K7bo16Px0B/wDfHM8XnRUDNs27CY0JDzLY9bwoUOn9hI6iDyJi43n689+wF2nZduna7INHxasmkrzexuzfdPHREY4/5aksERGRLPp3Z05DlfKGD50f+15CR1KIVtlw38VDyisFQ8SPAghRGbBFcqxaM10mt/b2Ok+DzzSlhkLx6JWq9m59VOnlQ+dnnqkwEKHiPAoNq3dkadK4JTkVH75+TfOnb4oE0WXMhI8CJELSYnJ7Pv2MBOHz2H0oOlZwod+g15FrVGxaNYa+vcYzvUrN7M9XnRUDMvmrWfV4vd4p+84p+HDjIVjJXQQuRYXG8+nu75m9qSlvNF9WLbhgzV0GDdkJu8u28KsiUuKNHyIjIhm5oTFvLtsS67mSrGGD4NG9pXQoRSyBgwKxZ3lNEEqHoQQwpnswoeMocPG1e+zbO463nx1pMPwYfKckQUWOkweNY93l29l0si5uQofUpJT+eXIbwzrP4m+3Ydx9t8LEj6UIhI8CJEDa+gweeRc/AN8SUlJtQsfrKHDu8u2AhAeFknf7kOdhg/W0GHP7r0AnD9zyWn44Osns1OL3LGGDkvnvguk/x06Cx8yhg4nT/wNwIHvfiqy8MEaOhz8/giQ+4la1er0pUBF6WOteLAGDigUdtuFEEJklTF88PL2RKdzzxI6vL/xIwCuXbnpMHwoiHtPa+hw9MdfATh2+ESO4YM1dBj+5mTMZjMpySkSPpQyspymKNaio2JJSkyiUpUKqIpgHHrG0KFKtUpMmz+aqMgYJo6Yg07nzsadSzm07yhrl27O8tzg8kFs+nA51WpWsW3LHDpkVK9hbVZtmkeFSsEufU3FmfTP/MkcOmQUXD6I9z5cRmqKgddfHMT0BWOyhA4ZPdr5QSbNHkFQOcczXEeGR5GSoqdq9Up222+HpK8DXrFS+Ty1PXPokNHdLlErClZh9k9jciLxF8/iUaU6Kq0bAAlXL6IrXwldOakCEyIjuXaKzCLCIrl29SZY0ud1UKlUdqFDRtVrVmHd9sVUKqAK28yhQ0btHmrNrMXjKRccaLc9c+iQkc5Dx6YPl9Ggcd0i+SwgCo5UPIhiKzoqllWLNtL1yTc4d/pSoaedmUOHiTOHMXbITD77cC+zl0zg5V4v8P3XhxyGDpC18iG70AGyr3wQwpnsQgewr3z49udd2YYOkH3lQ2R4FFPHLOD1Fwdx9dJ12/bbIWEM6jWWQb3G2gKI3MgudIC7X6JWlFwW038VD4o7tykKhRKk4kEIIXKUlmZkxrhFLJy5GoMhzWnoAM4rH/Iju9ABHFc+ZBc6pD8ulQ+lRYkMHm7dusWrr75KYGAgOp2Opk2b8ttvvxV1s0QBsoYOH+/4kuSkFPp2H1Lo4cPZfy/YhQ6TRs0jKiKaX478xqULV6lZqxrvrfkg22OEh0Uy4NWRREfG8OG2PU5DB6vzZy4xdvAMYkrI8oaiaJlMJn458rvT0MEqPCySAa+MJC3NyLxpK52GDlYHvvuJdSu2kZiQaNtmDR1+OvgLURHR9Ok+lKuXrhMeFsmgXmO5eP4KF89fyXX4kBCfyLrlW52GDlYnf/2LOVOXERsTl+MxRelhm0TSOrkk6cMuZI4HIYTIXsjNUN56bRRXL9+gYZO6fPP5Pqehg9W1KzcZ0m8C0VGx+T5vfFwCy+atcxo6WB07fIJlc9cRF5sAwPWrN52GDlbW8CHmLtonil6JCx5iYmJ44IEH0Gg0fPPNN5w+fZrFixfj7y+Ti5UWGUMHq4IKH+LjEoiJzt0HmBq1q/FK35fsQgerLet2EVgugDb3t8j2GGq1imnzx+Dl48lz3Z6kVp3q2e7v6eXB+BlDZW4HkSsqlYqWre+h3YOtst1PrVYxfcEY/Px9GDy6X46rrlSqUoFe/bvh5e0F2IcOXZ7vyKRZI4iJiqVP96FcuXjdblmu3IYP3j5evN6/OxUrZz80wz/AlyGj+8tcDmWMbY6HDBUPKJUyx4MQQmQjY+gA8N1XB6lTvyYNm9TN9nnu7m5MmTsKH18vp/skxidmG0z4+HozYPDrdsMoKlWpwOot8+2GcZQLDmTAkNfw9fMG0oeEdnvtuRxf2+jJg3DXueW4nyi+SlzwMH/+fKpWrcrmzZtp06YNNWvWpFOnTtSuXbuomyYKgKPQwepuw4f4uAQ+272X9zfuztW3pyqViudeeiJL6ABg0BsY/MZ4+g16lbYPtHT4fLVaxZqtC2nZpilarZZKlSuwZtsCp+GDp5cHm3evoF7D2iiVJa5riiJSrnwgsxZPcBo+pP8dLqBF63vQarXUrluDTbtXOA0fKlWpwMadS6lSLX0Oh4yhw1MvPE6LVk05fvR3ps4fTUxULOOGzmTSrOFUzrB+eG7Dh6rVK7Fx5zKn4YN/gC+bP1qZY2AnSh9bwKDIUPGgUMhymkII4UTm0AHShw2PGzKTgSP6Og0f3N3d2LhrGY2a1kOtVjvcJzEhke/3HuLd5VuyrTqoXrMKm3avoFxwIJWqVGDynJGsWbKZyXNGUqlKBcoFB7Jp93Kq16xqe45/oB+9+nfn+a5POj3uiAlv075DW9sXImVddGRMoZxn7ty5tG7dGm9vb4KDg3n++ec5d+5cvo9X4j7dfPHFF7Rq1YquXbsSHBxMixYt2LBhg9P99Xo98fHxdj+ieIqKjHEaOljlN3ywhg6LZ61h4+rtbNuQffgQGxPHlUvXeLvXmCyhg5VBb+CdvuN5Y2DW8CFz6GDlLHwoq6GD9M+C4Sx8yBg6uLnd+Tt0Fj7kFDo0v7cJcyYv44e9P/LTgWO28GHSqHlMmjXcbmLUuw0fJHQoekXaP80mUChQZAgeUEjFgxAg106RlaPQwSq78CHXocPXh5g2diG7tn7G2lyED1s/Xc20+WOYOno+//51limj5jFt/hi2frrKLnQAuHk9hDdeHkb9xnV59qUnshxvyJj+3Lp5m3GDZ8icT8D1q7cYOmAi16/ecvm5fvzxRwYNGsQvv/zCDz/8QFpaGp06dSIpKSlfxytxn3AuX77M2rVrqVu3Lt999x1vv/02Q4YMYevWrQ73nzt3Lr6+vrafqlWrOtxPFD1Fzrs4ZDRmH0DExsTZQger7MKH6KhYtq7/kOSklCyPtbqvOeUrlrP926A3sHPrp0xfMJa27e8FnIcOVpnDh7IaOoD0T0dy+nt2JnP44Cx0sNJqNcxdPskWPlSqUoHpC8agVGX9G8wYOlgXQtr3zWFb+KBUKu2+mc6rzOGDhA7FQ1H2T4vZfGcpzf8olAqZ40EI5NpZFuX33sDKGj6MmPA2jZrWA/IeOlg5Ch+MaUa755mMJiaNmEN4WHpQEBEexcThszEZnYfH86etoGGTenbhw5Ax/QkLjeDDbXvy+pJLpetXb/HGy0P58/d/eePloS4PH7799lt69+5N48aNadasGVu2bOH69ev8/vvv+TpeiVtOU6vV0qpVK44ePWrbNmTIEE6cOMGxY8ey7K/X69Hr9bZ/x8fHU7VqVVlyqJjKbqgFgIenjk0frqB+o9qoVCpuXAvhxrVbtGx9j8NxX9ev3GTft4dZNm+dw+P1G/Qqr/fvZhs/nvH8VapVYuKs4UwaOZeoiGge6Xg/Tz7bER8/b6aNXUDY7Qge7HAf0xeMISg4kIiwKKaMmU+v/t2dhg4ZhdwKZcyg6UyaPaJMhg4g/TOzWzdDuXT+Cq3ua46Hhy5fx4gIi2Lq2Pm83q+b09Dh8sVr9Ok6mMAgf+Yun8zUMQuYvWQ8A14ZiUarsat6CA+N5MihX5g+bhGOLhcdn3yIgcP7MixT+l6nXk1Wb52fp+U1b1wLYfSgacxZNlFCh2KgKPtn8u2b6GOi8KpW07YtJTwUi8mEb92GLj23EMWdXDvLlpjoWA7vP0b7R9oS6GSpa8i+6gGgYZN6rHhvDlhg7OAZjJj4dp5Dh4xe7vUCbw/tjZvOjd+P/0mtOtWpXLUi167c5I3uQ22hQ0bpQy1WUD3DUvOQXvXQr8dwQm6GMnbaEM78c54ataraQoeWrZuyYNW0Mr28tjV0CLsdYdtWvmI53tu1nGo1KhdKGy5evEjdunX5+++/adKkSZ6fX+KCh+rVq/P444+zceNG27a1a9cya9Ysbt3KOfWRtY6LP2fhg6PQoV+PYYTdjmDFxjm0ub+lXfhw/cpNvvj0O9av2Jbt+azhg9lsyXJea/jw9Z4fuO+Be5k6ZgFBwQFMmz+GvZ/vY/i4NwnKMIlOdFQMXt6eOYYOVjHRsfj6+ZTJ0MGRstw/b90M5c1XRnDjWggLV0+jfYe2+Q4foqNi8PTyzDZ0SEpM5v3P1vLRzi/o0PEBfv35JI92fpBeL71jG3IRGOTPTwd/YfSg6Q5DB6uOTz7Mg4/ex/SxCzGbzfkKHaxiomPxD/DL8/OE6xVm/0y6dZ20hDg8q9wJoFIjwzHpU/Grn/ebHSFKs7J87SztYqJjWbd8Kzu2fErHLg8zccawfIUPDZvUY/nG2VSomD4kMjoqFh9fr3yHDlZT5o3Cx8eb0YOm0bLNPUyePZIBr4xwGDpY5SZ8GDnxbW5cC2H39s8ldMBx6GBVWOGD2Wzm2WefJTY2liNHsl+RzJkS92nngQceyDKpxfnz56leXb4dKy0CAv14Z1Q/Xur5jG2bs9Dh9q0wzGYzQ/pN4NejJ0lNSf8G4Oql6yQnp7Btw240Wk2259v87k5iY+KJDI/ik51f2T1283oIP+w9xONdHmbqmAWYTCbCbkcwbewC+g161S50SG+7f65DBwD/AD8JHYQtdLh+9RYWi4XRg6Zx5OBxkpOzDvfJjYBAf4ehQ2xMHCsWbLCFDmuWbeLj7V8wqPdYtm74kM8//oatH68i5GYo2977iOTkVGaMX5xt6ACw75sf8ff35d42Te8qdAAkdBDAf5NLZhq+o1AqQOZ4EEKUERlDB4B9e39k9pRlTuceAwiuEMTyjXOoUevO8JsGjeuyYNVUyle4M1Q4INDPaegAkJqiZ/70VXbbFAqF3T31k88+htlkZvSgaVgsFh7r/CDrV27LNnSA9GEX61dssy2naVWlWiU27lxKpSoVWLEw/YtACR2yDx0Awm5HFMqwi0GDBvHPP/+wa9eufB+jxFU8nDhxgvvvv5/p06fTrVs3fv31V/r378/69et55ZVXcny+pMIlh7XyYe/n+5yGDhkplUo27FhCQKA/fbsPoV7DOoybPoTbt8IY8850EhOyToSiUqlYuWkure5rjtls5sjB47Y3UIBHOt5PxyfvhA4ZFXZ5U1lQFvtnxtAhI4VCcdeVD46Eh0YSFxvPikUb+PGHo1ke/9/LT9H9tecpVz6IwCB/Lp67TO+uQ0iIT3R6zJlLxtOsRWNMJhMenrp8hw6ieCvM/pl47TImfSoele58I6aPiSItPg7/xs1dem4hSpqyeO0s7TKHDhk5q3wwGo2c/ecCI9+eypS5I5k/fSXuOncGjezL7ElLWbVpHnUb1LKftNcJk8nE2X8v0Lf7MFKSU1CpVMxYOBb/QD/GDp5B+0facm/bZsyetNR2z6zRapizdCK7t3/OiWOnnB673YOtmLV4POXKOw4Tbt24zY1rIaSmptKoSf0yHTpER8YwdMBE/vz93xz3bXZvY5avn01AkH+Bt+Odd97h888/5/Dhw9SsWTPnJzhR4r5qbd26NZ999hk7d+6kSZMmzJw5k2XLluUqdBAli7Xy4aO97+UYOgBUq1EZg95A3+5DSEpMZuTEt1kxfwMrFmxg/sopeHl72u2vUqmYu3wSv//6JwlxiXh46GjfoS0LV09DoVBkGzpA4SWMovRyFjoABVL54IjJZGKlk9AB4NNdX/Ph+59jMppQKBTUqV+LLR+twNvH8RJWs5dOpFWbZkwbu4CZExZjMZeoLFsUUxaLGZSZKx6U6duFEKIUyy50AMeVD9bQ4Y2Xh3E7JIwJw2czdupgBo3sy/ihswgNCadPtyFcOHs5xypGSL9HbtC4Lps+XIaXtyczFo7lh72HWDZvHas2z+O+9vfahQ4AaYY0JgyfTbdXn6N1uxYOj5tT6ACgUqtYMmcNX3zyncMJr8uSgCB/Zi+ZaDexvSPlK5Zj9pKJBR46WCwW3nnnHT777DMOHDhwV6EDlMCKh7slqXDJFRUZTc9n33IYOnh46tjwwRLe6TuOpMRktu9Zy+qlm2wfrho0rsvg0f0YO3gGiQlJttDhq0+/5/CBY7Rtfy9zlkykXPlAkpNT+OvkaVJTUhn+5uQcl+0sX7EcO79cT1A2Y+5E7pSl/hkVGUOvFwflGFwpFArWbltA2wfuRaVS3dU5w0IjWDrnXfZ+vi/HfXsN6E7vN18mMCgAi8XC+TOX6Nt9qF3lw8zF42nVthkTR8zh5K9/AdCyzT3MWTqRSlUq3FVbRfFTmP0z/tI5wIKufCXbNkN8LPrIcPyb3purb+yEKCvK0rWztEuIT2Tr+l2sX/l+jvs+/b9OjJn8Dn4Bvly9fIPuXfqRkpJqe9zL2xOT0WS3zdvHi4++eS/X12iTycTN6yEsnrWGQ/vS76nrN6rD4NH9GD90lsNqSI1Ww6pN89j87g5+OXJn9YO27e9l1qLx2X6IDr0dzpA3JnD23wsAPN7lEcbPGFrm77GLao6HgQMHsmPHDj7//HPq169v2+7r64tOl/dq3LIdI4liIS7W+frTRqPRNlZMo9Uybf5oNuxYkmVehOSkFI7/fJIuLzyeJXQAOPvvBVYu3Mj8lVPw9fOxCx0Ajh/5nQkjZhMRFoWHh457WjaictWKNGvZOMf2v96/O9oc5pEQIjM3Ny393nktx/0aNqlH7bo1SEpMzvWxw8MiSUtLy7Ld3d2Nl3u9gE7nnu3z/fx9eaFbF1Sq9PGfMdFx7P/2J+atmGyrfBg7dTDNWja2Cx0ATv76FxOGzybkZiiQ3r8NBkOu2y4E/FfxoMi8nOZ//5aqByFECWUwGLK97/X28eLJZzvaVltzRqdzp2fv/+Hl42l7XscnH7LbJzEhyS50AHj2xc7oPLK/B8goNiaOlQs3cmjfUR7t/CCv9evGudMXWbFgA3OXT8LbxwuFQsHg0f1o0aopAG3vb0lsTCwv9XzWVvnQ6r7mdO35LFcuXUevT78n0Ov1dvNBZA4dAH7Ye4i5U5YTmc28FmVBtRqVeW/X8iyhjauHfa9du5a4uDgeeeQRKlasaPv58MMP83U8CR5Ekbpy8RqzJy8lIjwqy2NGo5Ez/5xn5YIN3L4VhpubFjc3N77/6iDbPlmdJXx4d/kWXn7tBdZkCh2srOHDlo9XcuTgL7bQwSpz+FC5WkUmzh5Oq/uaO23/6Cnv8NxLT+Dj652/X4Aos7y8Pen4xEPMWDTO6T6NmtZn+YZZ/PPnWb745Dvi4xKc7mt1OyScNYs38e9f5+zCh/DQSGaMX0SFCuVY98Fip+GDn78vWz5agclkYuHMVdy+FcbqxZt4d/kWls55l3krJjNp1nDuf7gN08YusAsdrKzhw60bt9m++WP++P1fCR9E3pjN6ZNJZvRfEGGRCSaFECWQwWDg5K9/s33Tx8TGOA8faterwebdK5yGDzqdO+99uIwGjevaJogMDPJnxMSBPPO/Tk6P+0qfFxkw5PVcT+IcFRnN3Ckr+P7rQ3R88iEe7ng/Wq2GNwa+wvkzl2zhw+Q5Iwm5Ecpr/bryWr+uPPXC40wcPofxw2bR7dXn6PNWD7q/9jwThs9mYK/RnPz1L5ITk/nnj7OsW76VsNsRDkMHKwkf0mUOHwpjrjmLxeLwp3fv3vk6ngQPoshcuXiNPt2G8O0XBxg/bJZd+GANHQa8MpLPP/6WRbPXEHLjNgN7jeGjHV/y4ft77MIHtVrNzq/Ws3j2ag45GbsO6eHDuKEz6fN2T4fjy2zhQ3h6+FClWiXmrZjkcKyahA7ibmUXPmQMHUa8NYUF01fyxcffZhs+3A4JZ+nctXz64de8+eooW/gQHhrJ6EFT+WHvj7zy/NtOw4eMoUPvrkP48pPvmD1pKS1aN0GtVnHx/BXWLt1M6/tbMH3cQoehg9XJX/9i0si51G9QmyFvjJfwQeRJ+qoWmSoe/hteIcGDEKKksYYOA3uNZt3yrWzb8GG+wgdHoYOVNXx42kH40LN3fkOHg3R88iEefLQd08cu5L01HwDwxsBXuHD2MvFxifzz51k+2fUV44fO4uHH7ufjHV9gNJpscz6YzWYmjpiDQW/AaDRx4LvDnP73PG+/Ppq9n+/jdkgYQ94Y7zB0sJLwIZ01fGh2b+MSOcF9oQUPaWlp3Lhxg3PnzhEdXbb/aMSd0CE6KhaAX38+aQsfMoYO1vLyH74+xLL565k4ewQNm9Tjy0+/48P39/D+Z2uo36gO9z/UCnd3d65eupHNWdOFhUSQZkijvJNZcq9fuYnhvzIwnc6d4PLlmLvcPnyQ0EEUFEfhQ+bQwToVz4IZq5yGD9bQ4dsvDgCQkpxiCx/2fPg1p377B0hfxspR+JA5dLCO2zx84Bh79+xjxqJxqNUq4mITMJvM3LpxO8fXdvN6CF7enmg0Gt56bZSEDyLXLGZzlnkcrEMtJHgQQpQkGUMHozF93rCNq7fnOXzILnSw0mq19Oj1Px7v8jD3tm1Gwyb1eL5bF555sRNubm65bnNampHzZy/ZhQ7m/957reHD+g8Wc+zwr3y6K30per3ewKDeY3mlb1fbsIs0Qxpb139ou6/u9spzPP5UBwa+PobUVD3ePl4kJ6UQGuJ4qciMLpy7jDHNmOvXUFpVq1GZ5etnl7jQAVw8uWRCQgLbt29n165d/PrrrxgMBiwWCwqFgipVqtCpUycGDBhA69atXdWELGQCnqKXOXTI6MWez/Diy0/Rv+eILGPadR46Vm+ehwV4b/V2jh4+wTMvdubNIa+j89BRLjiQ61dv8k6fcVy97DiA8PP3Zf0Hi1k+fz0///hrlscrVi7Pxp1LqVo9a2cOD4tk/NBZPPL4AxI6uEhZ7p+JCUns+/YwH27bw7L1M7OEDhmNmfIOz2b4G8wcOmSk89CxdtsCPt35FV988p1te7ngQD7Ys5bwsEhGvzOdtdsWYjIanS6d2f6RtnR5viNTRs2jQeO6TJs/hkF9xjpdV7p8xXJMmz+GaWMX2PZRa9S8+/4imt/bGK1Wm6/fkyg6hdk/Y/49hcbXHze/OxOKmfR6km9dw6dOQ9Qentk8W4iypSxfO4s7R6FDRv0Gvcrr/bvj5+/8/9ul81cZ2HsMi9dOzzZ0SIhP4psv9zNn0lJWbZ5LYFAAao2ai+euMG7ITOavmMxDj92Ph2fuJgW8HRLGiaOnmDJ6vi10gPTqs/EzhnL67/Ps2b03y/Pc3LTMXTGZ9zfs5tRvf9u2d3vlOTo904F3eo8lNVVv216jdjXGTHmHCcNmExsT57AtNWpX491tC2Xi6hLOZRUPS5YsoUaNGmzevJmOHTuyZ88e/vjjD86fP8+xY8eYOnUqRqORTp068cQTT3DhgvPyGlF6ZBc6NGxSl0ceu99p6DBv+SQWz17Lm6+O5JU+L3H/Q6358pPvWLd8K6kpqSQlJHHj6i3GTB1MjVpVsxzfz9+XOcsm8vcfZ2jRummWx7MLHQCCywcxf+UUCR2ES1grH1a8Nzvb0AHsKx+yCx0gvfLh7dfH8L8eT/Psi51t2yPCowi9Hc7xY6dYuWkeCXGJTkMHgCOHjtsqH87+e4FpYxewest8h7NTOwodAIxpRql8ELniuOLBOtQi+5WGhBCiOMgpdIDcVz7s+mp9rkKHWRMW0+7BVgQE+vPmq6N4+7XR1K5bg3taNmLskJkc3n+U5KScl+hOTdFz/swlp6HDXydPOwwdIL3yYfyQmbzWv5ut8sFZ6ABw9dJ1FsxYxZxlEx3OayGhQ+nhsoqHHj16MGnSJBo3zn5VAL1ez+bNm9FqtfTt29cVTbEjqXDRiYmO5a3XRnHmH8ch044v1jHy7SlZlsu0hg7rV77Pv3+dBdK/OV24ehq739/DsZ9+Y+GaabRs1ZQn2r+Mp6cHc5ZNZMH0lbbKB2voYN2266v1LJq1ht9++QPIOXQQhUP6Z3og0Pn+brkqJ/z0+y1cu3yD4W9NznHf4PJB7PxyHY+1eRGATbtX8M3n+/jogy/Y8vFKpo6ez7UrN3M8ztCxA7h25SY/7D3Eji/exWKBN18daQsYnIUOGXl6efDNT7vwC8h+1m5RvBRW/7RYLMT8/TtuQeXR+tz5GzEbjSRdv4xXjTpoffxcdn4hShq5dhZPMdGxPNn+5Vx90N/y0Upatrkn3+e6duUmzzzyCg883IbBo/vx1mujbdUDweWDWLN1ATMnLuafP87y7c8fZrukJaTP8dD5/u62IRJW7R9pyxPPPMqkkXNzbJN/gC/v7VrG/zr14cBvn/FS5z4Ov3i0clT5IKFD6eLSoRbFkbw5F63rV2/yRvdhhIVm/UBSu24Npi8Yg0qtYlj/SYSFRjgMHazUGjWzF08gMiKahk3r8v7Gj3ip5zMM7TcBL28vW9AQGxNvFzoMGd2flJRUWt3XnNiYOEwmE81aNpbQoRiQ/pkexp449geD+47HZHL+ze60+aPp9FQHkhKTWLNsC5/t+trpvt4+Xry7bSGb3t3B/m9/sgsdAKrXrMK46UOZOHx2tjcFTz3XkUefeIhpYxewcedS6jeqg1Kp5PLFa7z56kgAlq6byfA3JxN2O73/Llozjb9Pnebd5VuB9BLMDTuX0qRZA6ff3IjiqdCCB7OJmH9O4R5cAY3XnfNYTCYSr13Cs1otuyEYQpR1cu0snoxpRv764zQDXhmZ5QN8RsPGvcmLPZ7G1y///++SEpP5+88z+Ph42YUOVtbwISEhiUZN6+W4rLZeb+DUCftqjZGTBlKpcnlCQ8K4evmm7R7CEQ9PHRt3LiMyPJIq1SoRHRWLu86dAa+MyDaIGTTqDTp0fIB+PYbjF+AroUMpI6taiEJVrUYV3vtwGeUrZE1a6zeqw5VL1xnx1hRmLBpH9ZpVnYYOkP6GPnHkHGrXrc6Gle9z8PsjfLzjS5ZvnENiQiIThs1mzNTBzF0+yS50CA+PZNPaHcTHxbPv28P8fOg4Hp4ehfHyhciRm5sbrds1Z+WmuahUKof7WEMHL29PylcMZuCw3rzw8lMO980pdAC4dTMUo9HIwtXTCQj0c3icjk8+RO+3enBPi4Zs+WilLXQAqFWnOuu2L2bd9sVUq1GFrq88i85Dx/wVk1mzZDPJySm8NbSXhA4iV2yTR2Za1QLrEsoyuaQQogRQa9Tc07wR6z9YjNbN8bxGBRE6QHoloZ+/r8PQAdLnKRvYawx+/j45hg6Q/iVBtRqVmbN0Imq1ilGTB3Hl4jV2bv2M4ArB1KhVhVf6vOjwuR6eOjZ9uJz6jWoTWC6Qfj1HoPPQUa9hbdZ/sMTpHBM9ev+PF156knoNa7Pl45USOpRChVLxkJqaysqVKzl48CDh4eF2Y4UATp486eom2EgqXDxkrnzo8lxH2jzQkuljF2KxWKhQKZjVm+exbN56fjr4S7bHUmvULFg5hS3rdvHXqdN06NTeVvng4emBp5cHt2+F2UKHj7Z/wfQFY9j37WEO/fAzAE8935FRk98hMMjf5a9dOCf98w5nlQ8ZQ4eMwm6HZ6l88PbxYv0Hizm8/xhrl23h3W0L+XH/MXZu/dTuufNWTOazD/cSGhLG9AVjGfHWZLvKhyeffYyHHr2PSSPnsWzDLNo92BqtVuO07XGx8dy8HsKsiUttoeHr/bvxfLcu1KhVVUKHEqqw+qfJoCfu7N/oKlTOMolkwuXzeFSqhntQsMvOL0RJI9fO4s1Z5UNBhQ4Aly5cpU/XIU4nZ7QKLh/Ept3LqVajSrb7hd4Op0/XIdSsXY2Bw/vw8c4v+fS/+4tW9zVn+Lg3iY2N58d9R9m9/XPb86yhQ90GtTh/5hJ9uw8jJTkFnc6dTbuXU7teTc6fuZSl8qFH7//xxls9Cc5hCIgo2Qql4uGNN95gwYIFVK9enaeffprnnnvO7keUPRkrHzKHDgChIeEM6jOOt4b1clgdkVGFisHoPHTcuhkKwLXLN6jToBYrN80jOSk5x9AB4Os9+1g8aw1RkTGue9FC5IGjyofMoUNyUrJtLojMlQ/W0KF+ozq81PNZ2j3Yit+O/0m7h1qjVttXUpz89S/aPdiKJs0bcvtWGLOXTLBVPnR88iEe7ng/fgF+1Klfg+o1qpCWw/wTqal65kxZZleptG3DbvZ/ezjLxLFCZGGreFBkfUypxGKRigchRMnhqPKhIEMHAJ2HO3Ub1Mpxv0b31EOj0ZCUmJTtflqthtb3Nee+B1vx2e69ttAB4Ldf/mD5/PUkJ6XQrGVjeg14GXAeOgCkpKTSt9tQLp2/kqXyQUKHsqNQKh58fX3Zu3cvDzzwgKtPlSNJhYuXm9dD+O34n0wdPd/hDP4VKgWzZO2M9DHjDuaFqFKtEhNnDWfSyLlERURTq0511mxbQKXKFdDrDfz2yx9cPH+FWzduOw0dMnr6hU6MnDRQKh+KiPTPrKyVDxFhkTze5RFb6JCUmMyP+49SqUoFmtzTALUmvYog7HY4Wzfs5qnnO1K/UR1bdUFEWBQrF23k7eG9uXD2MsP6T7SbZXvKvFFo1GqmjJ5PtRqVGTdtCPu+OUzTlo2YMW4RFSoFs3brAiwoOPnrn3R6ugM+Pl5Z2hsWGsGIt6bw96nTDl/PoJF9efn1FwrsZksUnsLqn8bkJOIvnsGjcjVUbvYlwYnXLuMeFIyufCWXnV+IkkaunSWDtfLh71NneL7bkwV+HQy5FcrkkfM4ceyUw8cfefx+xk8fhpu7G9s3fcQL3Z6ianXn76Wht8PZsGo7H2WoaMiodbsWzFg4Fk9PDz7Y8gkdHn/AYeiQUebKh/3fHOaVPi9K6FBGFErw0KhRI3bt2sU99+R/ttaCIm/OxUdycgo/HzrOqIHTnC4bCOnhw9J1M20TTlplFzpY6fUGYqNjWThrDQ91uC/b0MFKwoeiI/3TsdRUPcY0o13ocPCHn5kwbNadeRMyhA+R4VH4BfhmGdKQEJ+It48XSYnJ/P7rn7bw4akXHqdZy8bMnbLc1her16zCsy89werFm2zD4ypVqcDUeaOYNGIu/Qe/RpfnH7cLH3IKHawkfCiZCqt/piUlkHDpHB5VqqPSutk9lnTjClq/QDwqZl8mLERZItfOksOYZiQ5JdVhcF8QnIUPGUOHFQvW8+mur/9b0W2Zw/AhJjqWDau2s/29j7I9X7sHWzFr8Xjc3N3QebhnGzpYZQwfEuMTCQoOzN+LFSVOoQy1WLx4MWPHjuXatWuFcTpRQqQkp7Jz62fZhg6QPuzi2pWbDBxxZ7nVKtUqMX/lFKaPX4RarXIYOkD65DjlKwYzYcZQatapzu/H/8yxXYcPHCM5mzdMIQqbu7ubw9AB0sO1/j2G889fZ23DLoKCAx3Oo+D9342Op5cH97ZpxrINs1GrVXTt+Sx7P99n1xevXbnJyoUb7ebkCbkZyq0boTRu1oA5k5exd88PxMcn2h4Pvx3BmX/O5/h6Pv/oWwyGtHz8JkSZYE7/O1RknlwSQKG8M/mkEEKUMGqN2mWhA0ClyhWYuXgcrdu1sG1zFDoA3L4VRr8ew7hxLSTLcQx6A99/dTDH85068TexMfH4+HqTnJTCd18dzDZ0gPRhF99+eRB9ql5ChzKmUCoeIiIi6NatG4cPH8bDwwONxn5SsujoaFc3wUZS4eIlPDSSsUNmZBsITJs/mgvnruDl5Yler2ffN4eZOGs4N6+HUL9hHUxmE1WqVXI4F0To7XAM+jSq1ahMTFQsF85fYfiASSRk+LCUkY+vN1s+WkntejVQOBpfLFxK+mf2MocOGTmqfMjN8UJvp0/46+GhY+KIOZz89S+n+4+aPIhL56/w2Yd7bdsmzBxmq3wwGAz8+fu/vPnaKFsIklmVapXYsGMJlatWzFUbRfFRWP3TEB9L4tWLeFarhTJTgJZ06zpqDy+8qtZw2fmFKGnk2ho5Jq4AAQAASURBVCkys1Y+eHrpHIYOGWWsfIiNiSM6KpZKlSsQFhrBG92HEh4W6fAc7u5ubNy1jEZN69m+7IiJjmXt0i3s2vaZ07Z1f+15Bg7vg7+TVbRE6VUoFQ89evTg1q1bzJkzh5UrV7J06VK7H1F2BVcIYv6KKdzbtpnDx62hwwebPmbdiq24ubkxe+kEpo9fRECgH6sWb2TIGxOIiYrNUjkRejucof0m0rfbEK5duYl/oB9169XkvV3LbN/8ZiShgyjOsgsdwHHlQ06Sk1M48N1PvNipD78ePcX8FZNp2cbxkDhHoQNgV/mg1Wppdm9j1r2/yGH4IaGDyA1rRYNCmfV9WKFUynKaQgiRA2vlQ06hA9ypfLh14zZb13/I/x7vzYljpyhfoRzvfbic4PJBWZ7jKHQASDMYad6qCc91fdLhuZ596QlatGqS4yTVonQqlIoHDw8Pjh07RrNmjj9cFiZJhYsnR5UP0xeO5dL5K2zbsNtuX53OnVlLxrNz62f89ssfQHoJ+ebdK6jboBYKhcIWOljLvoPLB/Heh8upXrMKFouFC2cv06fbEFvlg4QOxYP0T+fO/HOe7k/1z3E/d3c3vjmyi8ByAdnuFxEexZ7de1m5cKNt2/QFY7n/oVaMHTLTrvLBWeiQ0abdy2nVtjmAw8oHCR1KvsLqn/roSJJuXsWrZt0s78fJobdQqjV416jjsvMLUdLItVM4Y9Ab2LntMxbPWpPtfkPG9CciPIqdW9KX21Yqlax8by6t27XIUvngLHSIi0tg7uSl7P18P6u3zOfgD0f4+IMvbY+/2PNpHu30IIN6j+XJZx9l4qwR+Ph6u+BVi+KqUCoeGjRoQEqKjJkvKyLDo2z/bbFYiImOzfE5mSsfZiwaxyMd76fTUx1YuWmubckdrZs2S+gA6ZPm9ek2hIvnLhMRHmkXOgCEh0XyRvehXLtyE4VCQd0Gtdi8ewWjJw9i+IS3JXQQxV7FSuXp+3ZP27+VSiWTZo2g14DudvvNXT4Ro8lEQpzj4URgHzrUrV+L93YtS584csx8jh7+jfkrJvNav66s2bqAWUvGc/n81WxDh5d6PkOtOjVs/85c+SChg8gL63KZjt6PFQolFpMpy3YhhCjpoiKjC3TJ6eioWJKTU3nymcfsqhl9fL1Zu20hbe5PnwdiyJj+hIdG2EIHALPZzOA3xmepfHAWOgD4+nrzzqh+9H/nNc6fuUTtOjVslQ/PvvQEderW5Nzpi/R/5zUGj+6PRquWZezLmEIJHubNm8fIkSM5dOgQUVFRxMfH2/2I0uPc6Yu80WM4589ctKssuHblZo7PtYYPq7fMp+MTD+HhqSM+Np4Nq7Yzb8Vk/Px9mLtsYpbQwSohPpHeXYdw6fxV0hxMXJc5fChXPpCQW2HERscSFBwgoYMo1vwCfOk94GX6vt0TpVLJlLkjOX70d9zc3ej9Zvoa2kvXzaBB43qMGjiVX37+3WH4kDl0GDpuALMnL2XynJF24cP/uj/N6sWbuLdNMx5/6hGUSseXi5d6PsM7o/oRkGmspjV8eG/nMgkdRJ5YzGZw8veGQmELJoQQorSIDI9m+tiF/PDNjwUSPsREx7JuxVZ2bPkErZuWBSun0rLNPfj4ejNvxWSWz19P11eeY9bi8YSHRrBr254sx3AUPrz34XKHoYOVn78PFSqVY/n89cyfvpIGjeowfeFYGjauy/zpK1mxYAPlK5bD08uDI4d+ZdzQmU7nkBClT6EMtbDesGb+YGexWFAoFJgK8dsLKUdznXOnL9K/5whiY+Jo2eYexkx5h/49R5AQn0i54EA27lxKoLc3FlPWm0atpw6db/qs/WazmbS0NE4c+4PBfcdjMplo2rwh0xeOZc7kZQ5Dh4y8fbyYv3IK86etcBh4BJcPYuPOpez9Yh/vLtsKwBsDX6HXgO74+fve/S9C5Jv0z5xFhkVy5fINdm37jB/2/gjAgCGv82CHtgQGBTBu6Ez+OnkapVLJwtXTuO+Be/H2TZ/TJCIsks8//pYVCzbYQofxQ2fZ+uiMReOYOWExITdDmbZgDMmJyez56BtWvDeHyxeu8k6f8XarXLzY8xkGOwgdMjKbzU5DC1GyFFb/TAkLITUyDK/qtbM8lhoZhtlgwLdeY5edX4iSRq6dJVtkeDQzxi/k0L6jwH9Vvx3aoTBkPw9CxnvnjGKiY3l3+VZbBcNbw3rTs/eLpBnSuHb1BrMnLuXShau8M6ofCfEJbF3/YbbnUSqVrNw0l9btmqPVap1e0xMTkvjuq4NMH7fQbvtDj7bj8IFjdtvGzxjG+dMX+WTXV7R5oCVzlk50OJeEKF1yN/X5XTp4MOflWETJZTCkceXiNVvoULdBLd4Y+IotdID0b1n79RjOyrUzSb0aycV99usLd57yqu3NM2Po4OvnTet2Lfjuq4NcvXSdoBzGrUP6HBAKhYLUFL3Dxz08dSQkJLJj852SsvfWfAAg4YPIN4PBgFarvevjJCUl4+np4fTxtDQjn+z8yhY6AKxfsQ1vb0+UKhV/nTwNpH/gHz1oml34oNaoCSwXkCV0gPQ+OmXUPGYsGsfsSUvx9/fl1o0Qzp+5xJA3JjB/5RRmLRnPpBFzMZvNPPXC47R/pK1dEOGIhA4irywWCzhaShNkOU0hRKmSOXQAmDJqHtMXjCE4WcWt42edPjfjvbNV5tAB4N1lWwB49sXOzJm0jEsXrvL0C51IiE/E0ytrcJGZWqPGy9sTtUqd7TVdpVISEOiHUqm0uzfIHDooFAo0GjVxcelV77/+fJIJw2dL+FAGFErFQ3EiqXDBio9LIORmKANeGWkLHYaNe5NxQ2Y6XLKyXHAgKzbOQRGbwj8773xw6jzlVXwrBaHX6+1Ch9lLJnDt6i1uXg9hx+ZPWLRmOt/vPcS3X+x32J7g8kHMXzmFCcNnc/tWWJbHa9SqyuylExjUexyxMXFZHpfKh6JVUvtnXGw8+775kQcebkuFSsH5Ps6VS9f4989ztHuoNYFB/lkeDw0JZ/HstXz31QGHzx8w5HUMegNb1u2ybctc+RAXF8/VSzcY2GuM0z66ZusCjh89yaKZq23b6zaoxcRZwwm5GcovP/1Gk+YNmTtlOQ93vJ8pc0flKhQUJVth9c/kkBsY4mLwdLBkpj46krTEBPwbFf1k1UIUFyX12lnWOQodMpo0bSiV8XAaPljvna0chQ4ZvdavG94+XljMZjy8PKhZuxqnTvyFm7s7a5ZscvgcrZuWd99fRPOWjXO1VHdKcio//3icUQOnOfxiQqFQsGDVFE6e+DtLO6XyofQrlK+iNm/ezEcffZRl+0cffcTWrVvzdKxp06ahUCjsfho0aFBQTRV5EB+XwK0bt3MdOkD6t6pD+k3A4KWhSY+H7R5zFDrMnbqceVOX4+PjRc8+LzJq4FQ6dXmEJ555NMuxg8sHMWPROBRKBdVrVs3yeE6hA6RXPmxd/6HTx4XILC42np1bP2X6uEUMfmM8oSHh+TrOlUvXeOu10UwYPpv93x7OMuFSTqEDpFc+aN20tjkf4E7lwy8//05ifBJhIRFOQwdI76MDe42hdt0aVKpSwbb9wtnLzJ60lEqVK9DonvrMnbIci8XCoR9+Zsb4RURGROfrdQuRmcViBmdz7iiVIHM8CCFKuJxCB4BZ05Zzi2Qqt835c05OoQPA+xt3k5qSSsMm9Vg8aw3L56+nRet70KemMnBE3yz7a920zF02kQ+3fUZYaESuXtftkDB+OvALk+eMzFIdoVAomDxnJEd/PMGDHe6jes0qdo9bKx9kzofSq1CCh7lz5xIUlDW9Cg4OZs6cOXk+XuPGjbl9+7bt58iRIwXRTJEH0ZExhNwKY/t7H9k+pPfo9T8+2fmV0w80VhHhUXz92Q/cToqn3vPt0OjcAEhKTGHB9JV2ocP1q7cAWLN0s1348Hr/bjze5RHbMYPLBzF94Vimj1vIgFdGMm76ENq1b2V7vEatqqzcNJdhb07OMVT4YNPHBTqrsCi9rKHDmiWbgfR5TvITPlhDB2uVzqyJS7KED1GRMez75kdnh7DZueVTnnyuIzoPnW2b2Wxm6dx3SUpKZv2q93PVRw9+f4Tnu3Wx237h7GVO/32Ov06dJmOx3I/7jnLj2q1cvVYhcmIxOw8eFAqFDLUQQpR416/d5Mf9x3Lcb82qbdR4qAkKZdb3RFOaibiQSOLDoomNjuPjHV86OIK9nVs+JSg4ED9/Xy6cvWwXPgwe3c+2n9ZNy9J3Z2JIS+O7rw7yzRf7SU7OfoXCuNgEtm3YzWe793Lsp9/swgdr6PDLkd/5bPde9u7ZR9dXn8tyjF9/Psn50xdzHMYpSqZCCR6uX79OzZo1s2yvXr06169fz/Px1Go1FSpUsP04CjWEa6QZ0gi7HcGB74/w+gtv81q/bjzY4T4A5k1bQZfnOtK6XYtsj/F4l4dp2KQuIwdNIyQlnjbDnwdl+riwddsXM3/lVLvQwcoaPix5dwbff32I9h3a8tgTD9pChxnjF3H7VhgzFowl5KfTDBvUizbtWlCjVlUWLJjA1b2/M2vOaLRuzsfhW5cJKl+x3F3/rkTpljl0sMpr+JA5dLDKHD5Ur1WZpetmolKpnB7L28eLucsnMWnEHFIy3CBUqlKBNVvmU75iOcZOGUy7B1s5PQZAxycfotE99W3jQq36vNmD2Nh49u7ZZ9umUChYtHY69RvVydXrFSJHZjMKJ+OIFQolWCyUsVGiQohSpkHjuixYNTXbFdUCAv1YvW42f27dh8Wc9T0vKTKO72Zs59up27j8+a+sWDMTjVbj9Hg6nTvzVkxm7pRlti/hrOHDfQ+04oGH2zJ8/Fto3bQsXD2NTWs/4Ldjf7J6y3xe7PE0Hhm+0HDE18+bwaPe4LEnHuL7rw/awge1WmULHb7/+iDtO7Tl/odbs2zuu1mOMWPhOJq3birzQ5VShfJ/NTg4mL/++ivL9j///JPAwMA8H+/ChQtUqlSJWrVq8corr+QrvBB5l2ZI48+T/9LloR4kJiTy9P868/r/BjJ4dD8e7HAfBr2BCcNn0/21552GD493eZgHHm7DjPGLea1fV65eucELj/fiyq0QjEYjZouFmRMWZQkdrNYs3UzIzVA0Wi3Txy7kocfuZ+7ySbbQYf7KKbRt04yQ4+f4d8ePjBzSl4WLJnJ212HC/r5K0qnrrH9/kcPwIbu1iYXIyFnoYJXb8MFZ6GCVMXzw8vKiVbtmTsMHa+iwfP56Lpy9bNteqUoF3t22kBq1qwFQrnwg0+aOpu39LR2es2OXh2nf4T5mjFtk941D37d7oHHTsH7FNts2a+jwwMNtcrwhESK30ieXdDbU4r/t8m2YEKKECyoXwISZwxyGDwGBfsxdPgmtRuMwdMgs6sItUv+66TR8sIYOG1dv5+8/ztg9duHsZRbOWo3JZKJO/Zp8sGctHh7umM0WPtn5JceP/A7kbsn5wHIBTJo13C582L13oy106NCpPc937cKUUfMwGu1XNZyxcBwduzyEVy4mvBQlU6EEDz169GDIkCEcPHgQk8mEyWTiwIEDDB06lJdffjnnA2TQtm1btmzZwrfffsvatWu5cuUKDz74IAkJCQ731+v1xMfH2/2IvLOGDm++Noo0QxpL5rxLtRqVsw0f2txvHz5kDh10OnfeXb6V1FQ9A3qOICIsirdfH+00dLBaMGMVtetW5+kXOzF97EKGDZhkCx0eeqwd6v/eHM1GE/9+cIh/tx3AkJQKQPTFEGpWrZwlfHB3d2PDB4upXrE8aUmOV8MQBa8k9k+9Xs93Xx10GjpYnTt9kRFvTSY6Ktbh45ER0bz9+hinoYPVrIlL+Ovkv6SlpeHl5cU99zRg+YbZduGDt48XG3YsJSE2MWvo8P6d0MHKQ6Vm7PiB3Nf+XrvtTz73GMNHD+D9jbvtQofBo/rxQven+PiDL2zbJHQo/Yqqf1rMJqffAir+W+3CIvM8iDKsJF47hb2z/16gb/ehnPrt7yzhQ0CgH7OXTGD2pKUMeGMszXp3dDjUIrOoC7ewXI5i7baFduFDdqGD1fkzl5g9aSkAb7w8jHf6jOO1fl1p0aop2zbu5tMPv85xqIVV5vChd9chfP/1QR7t/CCT54ykQeO6BGaakFpCh7KhUIKHmTNn0rZtWx577DF0Oh06nY5OnTrx6KOP5nmOhyeffJKuXbtyzz330LlzZ/bu3UtsbCy7d+92uP/cuXPx9fW1/VStmnXSQZG9NEMaf/1x2hY6WGUXPnzzxX6mLxhrK+m2hg5b1u1k80cr8PX15t3ldyYWTU3Vs3j2GoaNezPH8qpGTetzb5tm9B/0Kv6BfiTEJ9pCh8zLEJpNZoz6NLttljQT0T+dY+XamWjdtLi7u7Hy3VmE7/uH76a9jyEpd2+s4u6VxP7p5uZG+w5ts3yYz0ytUTN8wtt4eTteGlOtVvHOqH7ZllkCNL+3CfUa1kGjSb+JSNHrObTvZ2YsHItKpbJVOny66ysqV6vIO6PeANJDh8lzRvL1Z/uIiY61O6bRYuHMmYu82OMZW3VSxycfol37Vly9eI2FiydRq051AN565zWaV6rGv5v3s3HnMgIC/SR0KCOKrH+as6l4+G+7zPMgyrKSeO0U9qrVqEz7R9qyd88+u/DBGjpYhxwPHvkG7jo3Ok16hc5TXqXzlFfpOL4H7fp3wZRmtDumzs+Lqh2b8fVnPzBn6UQ0Wg06nTtr31/I13v2OQ0dIP2epdeA7mzbsJv4uAT0egPjh87itX5debzLw3R+6pE8Xe8zhg/xcQk82vlBJs0eQVC5AKrVqMx7u5bbhjVL6FB2FOpymhcuXOCPP/5Ap9PRtGlTqlevXiDHbd26NR07dmTu3LlZHtPr9ej1d77Bjo+Pp2rVqrLkUC5ZQ4cBr4y0Cx0yGjHhLa5fvcVXn37Hts/WcvTQcZ549jEqValAeFgke/fswy/Al01rtjNj0XjWLt3MK31fYtyQmSQmJNkdq9NTj/Dksx0Z+fYUhxPLNGxSl4WrplG1RmUUCgVXL1/n0rmr3PdQK1voEBcSyXcztjt9TR3H92Df3J0E1KmEZ4tqKJVK4o9fIuZq+jfPmZcnEq5TkvtnyK1Q3nptNFcvZR3qpdaoWbd9Mc1aNkKrdT6nSGxMHEcOHWfi8DkOx6w3v7cJc5dNonK1iunnvBnKW6+N4urlGzzS8X46Pd0BH19v2/CKdg+2Ztz0wfx27A+a3duEtUs3sf+7I7zS9yUGDH4N/wA/kpNS+HHfz4wbOosq1Sqy4r25HPjuJzo8/gD9eowgPi6e5WtnUr1ONY7++Cu1fYK48sMpAJ6c/joRCQlcu3yDtu3vldChlCuq/hl3/jRKjQb3cuWzPGZKTSE55Aa+9Rqjcpe/P1E2leRrp7gjMiKKqaPn89PB43R5viNt2rWgfIVyttBhwtQhPNrxAYKrVbB7nqP7XJ2fF/f078zIQVM5f+YSk+eOpEKFYNx1bpw7fZEatauxcOZqrly8lqUdao2a2Usm8Omurzn+8+92j7m5aVm3fTH3tGyUr2HIURHRfLXnB556/vEsy25fv3qL03+fo32HthI6lBGFGjy4QmJiItWqVWPatGkMGTIkx/1lrePcy03oYDViwlvcDgnnxZefomKlCpj/G9oAgFZFaHgUKSmpDOs/keioWOo1rM2QMf2zCR8eY+TbU+3Ch4ZN6jJweF9mT17K6i3zqVOvJgqFAr1ej5ubm22/3AQPSZHpk+oo3TSYjSaOvfuV7XEJHopOSeufjsKH3IYOVhEh4fzyyx9MGmEfPjS/twkzF4zFz9MD34pBdqGD1X3tWxEVEc2Fc5dRqVTMWDSO778+iLu7G3//eZZRE9/mg00f8/uvf/FKn5d4Y2BPfjv+J2MHz6B8xXJMnTea2ROXcN+DrTh54i9GTxrE+GGzSUxIZO2WBbgnpHHui+O06d0JlUaNZ5AvGncNRrMZZYYrh9ZTh85XbhpKu8Lqn7Hn/kHl5o57UHCWx0z6VJJvXcenTkPUHvI3JwSUvGtnWZMSl+S0mjbZZGTWpCX8dOg4Dz92P5cvXuPGtfTQoarKk4aPtCCgun0Im/k+193Hg2ZvPmkLHd4Y+AoKhYKTv/5Faqqezk93IDoyhrbt780SPmQXOli5uWnZsHMpTZo1yFf4YDAYnN4PZb6HF6Wby2bQmzdvHkOHDkWny/kbiePHjxMZGclTTz2V476jRo3imWeeoXr16oSEhDB16lRUKhU9evQoiGaLDIxGIzFRsRgzlXI5EhYaycuvP0/1mlVJCI22e0P0CvajxnNtbKEDpI8lW7FgA/NWTM4SPuz/9ide6P6U7TGz2WwLHcYNnYkxzUhyUgomkwm1Wp3nN6ykyDiObdhr+3e7/l2y2VsI5ypVTp9DwRo+5DV0ANCipJqHL7OWTLCFD9bQ4dSavXQY9RIAaWlpJGQK6X458huALXT47ssDHD5wZ3mucUNnMW/5JABCQ8IwmkyEhoTbQodpYxYQFhphW4Jr/oxVzF02kfHDZhMWGoFfTHrfV2nUdn0ms85TXpXgQRQcs9npeGbbHA8y1EIIUUIYklKcfiGmVCmZMHUIs8zL+HH/UQBb6HDr2FkaPpL9SnEAanctJpOJhPhEW+iwcfWd853++xzDx7/F8SO/M2HGUOZOWc7li9dQa9QseXcmH2z62GnoAJCWZiQuNh5jmjFfwUN290MSOpQtLgseTp8+TbVq1ejatSvPPPMMrVq1oly59LE8RqOR06dPc+TIEbZv305ISAjbtm3L4Yjpbt68SY8ePYiKiqJcuXK0b9+eX375xXZsUXB0Hjruf7gNi9ZOZ9TbU50uX/bqG13p/tpzVK1eOcv8DF7BflR76l4G9h+fZZI9R+GDSqVi2vzRfPj+HhQKBbOWjGfH5k94c2hvxg2ZgTHNyPrti2nctL7TNz+tp47OU161/duUZrJVOKT/O+cgRYjcsoYPg/uOZ9z0oXkKHazO7TlG/efbMWvJBD7Z8SXT543m1Jq9GJLvVA5Vr1mVzbuX06fbUKIiom3bnYUOAAa9gXFDZ7Fk7QwaNKpDcMVy/O/lp2h9X3OGDZhEWGiE3f5XL11n/oxVbNy5FE+Fip+X7cn7L0SIu2SxmEHhZK6f/wIJmVxSCFEamE1mzLHJDH7rdQAe7tDOFjo4k/k+F0CpVrFxx1L2fPwNG1a+n+U5S+e+y8iJA6lavTJrti1gaL+JjJn6DnXq1uRU03pOgwelUsnyDbNpc39L3HXud/FKhXBh8LBt2zb+/PNPVq1aRc+ePYmPj0elUuHm5kZycjIALVq0oF+/fvTu3Rt399z9Me/atctVTRYOeHjoeCCb8OHNIb3o+sozBAUHOg0d3nl7ktOZ/TOGDxOHz2HUpIHs/+4nDv3ws22fkRPfJi4uAaVCwcp3Z1GzWiXUGud/ujpfT7tvX+NCIrP9tlaIu1WpcgU27FiKl7dHnkMHK1v4sHAcv6380i50sKpRq5pd+JBd6GBl0BsY8fYUNmxfTECQP7ExcQ5DB6url64zatA0Fi6YgNbT3bYijBCFJpvJJa0VD7KcphCi1LDA6R2HGDzgNWIu3842dICs97kAEeFRfPPFfoehg9Xi2Wtw12np1KUD67Yvtt2z9HkzvWp887s77fa3hQ4PtEQnoYMoAC4LHgCaNWvGhg0bWLduHX/99RfXrl0jJSWFoKAgmjdvTlCQjKMvCZyFD28O6cWrb7yEr5/j8YR1urRi7qJ1TkMHq/NnLnHs8AlWbZrLe2t32IUOB78/wsHvjzBkdH827VzGjW9OYalbK9vjZR5LZ0oz2Q2nMKUZ+XXL906fb0ozERcSafu3jF8XuREQ6HfXxzi3x3F4kFHG8KFZy8akpqQ6DR2sDHoDYwbP4IPP32XhjNVOQwerq5eus+vjr3hzUE/SYpLQ+XnZZtB21Hcy9xkr6TsiPywWs/PVXmRVCyFEEcpuvgZwfN0zm5y/X7Xp3Qmdnxdt+z4BgHeTWlRrcuc+V+2udXh9zXyuxPhEVi/ZlGP7509byYOPtqNS5TsTVvoF+GYJHyR0EK7g0uDBSqlU0rx5c5o3b14YpxMukDl8GDD49WxDB4DTHx1h3NiBjB4zx+HM/1YPPNyG57o+yboV2+xCB6suz3fk0c7tcTdA/cdaoHbL/s82u7F0kHVOB88gX7tt8bej7D5cyfh14UqOSiYzP55ZxvDhwQ730fftnmxau8PpMfz8fVmzZT5/bvqed95+jdCQMM6dueR0/zb3taDbc09wZMmnmI0m23Zn86FknjfFSvqOyCuLxQIWi/OhFhI8CCGKUE73mI6uexaz83n8VRo1Bxbudvp4h1FdObjooxzP5R/kbxu67GxotFqtYtmG2fj6Zr13zxg+bF3/oYQOwiUKJXgQpYM1fPj0+y0EBQdkGzoAGJJSObPzRxYumOA0fHj4sfsZPWUQm9bsYP+3h7M8/kL3p+gz4GUufnqM6Mu3AbL9kJZfMhRDFBVHJZO5UaNWNbZ8tBI3dy3u7m5ggU3vZg0f/Px9Wb1uNkGeXpy6Hk7iB4eYNXMUkyYvchg+tLmvBSOHvcG/HxyyCx2EKBT/3TA7q3hQKBTp4YMED0KIMiA1LinnnQA/Px/aPdTaafigVqtYum4WTRrVxdPLw/Ex/gsfnnmxM5WrVpTQQRQ4CR5Ennh46Khdr0au988ufHjksfsZM3EQmlQLr7/RlZ9//NWuBPy5FzvzYqcO/Lt1P0kRdyaHNJssdmVnSrWKtBTD3b0wIUqg6jWr2P67xyvPYTQY2LbpY9s2a+hwc+9JKr7+OABpqQbcUbJk9XRGDp7G2X8v2vZv+0BLps4aiSU2hVavPpbtkCQhXMFWyeBsqAWgUCplckkhRLHkaOih2l3rtGJQ5+dFm96dCuR66+fnQ6tW9zB3+STGD51lCx+soYNXXBqqHN46/QJ88Qvwveu2COGIBA+lQGJCIlo3bb4ntXM1R+HDQ4/cx1t9XuaXJZ9iNpnx8Pdm+arpDH1nKmGhEbz48lO80LEDZz/5GTJVjFnMZr6bfWcCnHb9u8jymKJUMJvNJCUm4+3jlefnaiwKHm3ZEoBtmz62Cx0SwmLs9lUqlfy28ktmTh9pq3xoc18LRgzuyy9LPsNsNEk/EkXjv0DB2XKa/z2IxSzVOEKI4sfR0MPHxr2cbWXt3VxvLRYLCfGJ+Ph6A6BFQSWtpy18UKmUttDh0g+nqNOucb7PJcTdkuChhEtMSOTbrw5StXplWrRqUizCB2dj1hVKBWs2z+ODLZ/yzKMPcXrXj7YJd5JjErj86S8sXzWdb7/7kZ6v/4/Dc3dlCR0KgmeQr137lGpVwZ9EiDwym82cP3OJA98foWev/+X5Gwe1u5ZylcrxcoPn8PHz5ZGO9+NtUeH3bDsAVFqN3f5pqQZO/zfs4uM93/K/px/PcXiFdZLJjP9OiU2UJWpFgblT8eBkjgfSh1tkN2ZaCCGKE6eT5d7tcVVKLl24ypeffEfvAS/jH+iH1lNHzWZ1qYyF+Sum4OGlo0mjuqjMUKddY4fzRglRWCR4KMESExL55osDzJywGLVGzdptC/MdPmQ3S6/ZZEHtprZ9IDGbLFkm9tLotHYfWDLOtJsUFY8+Mf3YnkoN/fq/zMHZO7PM8msNHx66txFaM7Trl/4BJ6dVKPJKpVHhW+nOiirOZgsWIif5md3aEWvo0KfbEJISk0lN1dP3zR55Ch9M+jTbNyrNHm7Kpd0/0/DJ1qj+W3rWZEizhQae5dKPaw0fujzaNt9zOjj6FqdN706oNGpZ7ULkmSWHOR4AUCpBKh6EECXE3cyXlHkCdCuVm4aw6Bj6dB9KfFwCSYnJDBrRF/9AP9v1td1DrVCrVXh6yfVWFA+FEjwkJSUxb9489u/fT3h4OOZMH1ovX75cGM0oVTKGDgDGNCNvvz463+FDblaCyKlMLOPjGWfa1SemsG+u/dAIZ0sLJcckcHnfH9RoUc92vMxvuDLhnSgu8jO7dWaZQweALf8tZ5WX8CHjRFLXfvwbSJ8t21G/fXR0N9t/p6UauLD3RK7OkRKbmKthTc7OayWrXQincjPHg0Ihq1oIIcoER0M3vCv4U/mJFgwcMIH4uAQAdm//HMAWPgA5TgIvRGErlOChX79+/Pjjj7z22mtUrFjRZSVHZUXm0MHqbsOH4iTjh6jMaW/mkvHMTGlGu/09g3xRae4Mp8hcZpaf5QyFKAiOQgervIYPjiav8gzK/wRRGYckmdJMJEXGZRlSYe1rmfuYKU3CQZE/1kkjFdkMtUif40GCByFE4XN2z+jsOgk4Xd7SKvMwRus2R0MZHYUOVo7CByGKk0IJHr755hu+/vprHnjggcI4XanmLHSwKi3hQ+blg/IyeWTmYRmdp7xqN7Qis/wuZyjE3cgudLDKS/hgTDVk+VYkY2VDflj7TVxIpMMKBmtfy9zHZPiSyDepeBBCFGPO7hmjr4U5rfTLaUnMzNWE4LjSOLvQwUrCB1GcFUrw4O/vT0BAQGGcqtS7eSPUaehgZUwzMqj3WL77+UMCy+X9924dn51R5jS2oOddyCzz+TL+t1ewv92+XsH+do+7+3raVdUoVCq7D0Iyvly4Usb+k90cB3qzkbdeH+00dLDa8u5Omt7TgPvaNMOc5ngeFVextt2Ulr7Khav7vRC2QCG7VS2UCtvqF0IIUZiczu2kUPDo6G6otBoSw+1Xkrqb6sOMmr7yKH1fH+E0dLDavf1zmrZoxFPPP45aJlAXxUihBA8zZ85kypQpbN26FQ8Pj8I4ZalVsVIwQ8b0Z8WCDU73USqVLFw1FY98DhHIaXw23N3SP5mHQgB4BPqQHBUPpIcOiRGxTj/gdBjV1e75Fosl3/NPCFHQctN/Ok95Fa9gP5atn0X/HsPR6w1O933m+ccpr/Xkmylb7VZ5yfx3rFBmLU13Vt6p0mpy7MNqNw3fTttmt02W2BSulpvJJRUKJWZjWmE1SQghbPIzJ1qb3p1o17+LbfhERh6BPiSERufq3Kc/+ok5C8YxaMBEUpKdT2zd+ZkOtH+4jYQOothxWfDQokULuxuHixcvUr58eWrUqIFGYz9G/+TJk65qRqnj6+dD11eeBXAYPiiVSpaum8l97e9F51E85yZwFCg8Orqb3WSS2X2rmhqXZPem3nF8j4JvpBAuplaradKsARt2LnUaPjzz/ON0f7ozZz/9OcelZZWqrB/UnJV3JobH5BiOPDbu5exPKIQr5GI5TZQK21wQQghR3FnvaR2FEo+O7pbrSsLY6+HwE6xeP9tp+ND5mQ6MmzokXxXPQriay4KH559/3lWHLvOchQ8lIXRwpE3vTihUStu3qTkN68j8uExWKkqq7MKH57s9yUudHstV6OCMb6Ugh1UKGfuQDJ8QxcmdySWzr3iQ5TSFEMWJdZilo4kirTIPFc6P7MIHCR1Eceey4GHq1KmuOrQga/hQUkMHSC9N3z9vl9PHM7+BZ56ERyoeREnmKHx4vlsXBg3tzY+zd+Y7dABI02edcDIzGT4hihOL2Zx9tQOAQoHFfBcdQwghClhuhlne7YTPVtbw4b2dS3mjx3BSklMkdBAlQqHM8VCrVi1OnDhBYGCg3fbY2FhatmzJ5cuXC6MZpY41fFAoFNSqU/2uQoeMywPlZik8zyBfuw/8Gp3WbnmhjEtQunnpJBwQpZKjZbXys5RkxvDh689+4O1hvVEZTHkKHRy2xZhzObpHoI/D8EHjlnVFnIxLbGY+d05tyW5/IWwsFhTZTSxJ+nwmsqqFEKI0UGnUDu+R1e5aOo7vgUKhQKl2HMZqPN3ZvHs5u7Z9xtAxAyR0EMVeoQQPV69exWTKejOu1+u5efNmYTSh1PL18+Glns+g1WruqtIh4/JAmWfhz7zKhV/VcqSl2I9Hz/xvkyHN7jgqjf0ENxln5Jel90RJ5WhZrfz+PVvDhxo1q+IX4Ov0ONb+mN2KGdY2xVwPz/G8zkraTcas79kqjSrbpWmtZIlakV/pFQ85DJ9TpK9qYbFYZKidEKJQKdUqh2G9Z7mcV67IvGIcwA9zdtBxfI8s98kWkwmVRpXjClb1G9VhxIS38fMvmJUzhHAllwYPX3zxhe2/v/vuO3x973QKk8nE/v37qVmzpiubUCb4+vm49PiZy8ceHd2NAwt3Z/ucnPaRlSWEyEqtVuMXkP3NQ07lnBn7lrNVLTIyG00Oj1dQJaFC5InZnD6HQzZsj1ssOYcUQghRgNJSHA9hzM0101mlltloYt/cnQ4fy+l+WaVSSeggSgyXBg/WCSYVCgW9evWye0yj0VCjRg0WL17syiaIfMhcJp2f0vGC5Bnkm2WyyYwyD/Mwmyx2b+7ZDQMRoqDlNMzAuk9+j1NY/VGpUWc5v/Qd4WoWSy4qHv4bimExmxwuIyuEEK5yV+85CoXDYRVSuSXKCpcGD+b/PvzVrFmTEydOEBSUc4muKHqZy6SLw1CI7L7hNRtNuSr/FqIwFNQwA2fHKbT+aLFIvxKFzmLOuYrBWvEg8zwIIQqbo6Wr8yKgenm7f8eFRPLdjO13dUwhSopCmePhypUrhXEa4SJmk325ttbTPceZ8DPvI0v2CVEwMvdHK2dzP+R32Uz5BkYUCUvOQy2wfuMowYMQIp9S4pIwJKU4fTynuRWy7p/zvbHaPeukzUKUJYUSPKxYscLhdoVCgbu7O3Xq1OGhhx5CpVI53E8UrczfKqWl5rxE32PjXrbbJ7s345xK09VuWpkhX4j/OPuWN6e5Hx4d3c1hP1RpNY7Pk4v5IYQoaLmZXNIaiknFgxAivwxJKdlWGuR1LjKjPi3He+OOE3rm+nhClEaFEjwsXbqUiIgIkpOT8ff3ByAmJgYPDw+8vLwIDw+nVq1aHDx4kKpVqxZGk0QxIjPgC+F6KbGJDm+KcvqGRojCZDGbc6y2kaEWQojixuxgJagsJNAXZVyhBA9z5sxh/fr1bNy4kdq1awNw8eJF3nzzTQYMGMADDzzAyy+/zPDhw/n4449zfdx58+Yxfvx4hg4dyrJly1zU+rInKSoefaLz8rPcUGD/gca3cpDt317B/pjSTERfC7uzv1JpN24uryVuQhQFR6WaGSc31ei0Dm9GMv59Oyv3VKpVpKUYsvQNIUo1i9k2eaRTSql4EELcHWfDFnN6PKfnCSGcK5TgYdKkSXzyySe20AGgTp06LFq0iBdffJHLly+zYMECXnzxxVwf88SJE6xbt4577rnHFU0u0/SJKXbL+uTnG1ELZFmC0/rvdv275FiOJsttipIgp1JNZ3/rGf++nR3D2XOlQkGUZhazGaU6+1uTO8tpSvAghMifnIJLZ49L4ClE/hVK8HD79m2MRmOW7UajkdDQUAAqVapEQkJCro6XmJjIK6+8woYNG5g1a1aBtlVkZUoz2n3YUeZiKSGZmE4I17D2R52fFymxibbtHoE+2T7PM8jXNleK2Wi2LUur0mochhkanUyCJYqA2Qw5TS4pczwIIYqIRqd1eM1UanKep87RvXFO85zJPGaiNCmU4KFDhw68+eabbNy4kRYtWgBw6tQp3n77bR599FEA/v77b2rWrJmr4w0aNIinnnqKjh075hg86PV69Hq97d/x8fH5fBVlV+aZ8HPzjWtSZJyrmiNKEemfeWftj5krIh4d3S3H51qXx4wLieSHObuz3Te7GyFRNhRF/7RYcl5O807wkIsx1UKUQnLtLDpmoynf1YiOJm2Wec5EWVIowcN7773Ha6+9xr333otGkz6DutFo5LHHHuO9994DwMvLi8WLF+d4rF27dnHy5ElOnDiRq3PPnTuX6dOn57/xpURBLxuUV0q1rFgispL+mf/xojo/L7sbHYUq50okIfKiKPpn7iaXVIBSKRUPosySa6drtendCcBuaWors/Hu3nccHVPmNRNlRaEEDxUqVOCHH37g7NmznD9/HoD69etTv3592z4dOnTI8Tg3btxg6NCh/PDDD7i7u+fq3OPHj2fEiBG2f8fHx5fJlTMKctkgU5qRx8a9jMWU/uarVClJiorPsk9GsjSfcET6Z/7LxTOvUtGmdyeHQzCsMg6dyKm007qPKNuKpH9azJDb4XwSPIgySq6dd8/ZkAlID/YzznWWkbPqQmfDIDNSu2v5durWLNtlXjNRVhRK8GDVoEEDGjRokO/n//7774SHh9OyZUvbNpPJxOHDh1m1ahV6vR6Vyv6bdTc3N9zc3PJ9TpHVr1u+tyvzzjhxpDPWkEKIjKR/FhxnQzCsMgYNUtopcqMo+mduKh4AUEjFgyi75Np595wNmYD8TeKc0zUYcjckUojSrFCCB5PJxJYtW9i/fz/h4eGYM90sHDhwIFfHeeyxx/j777/ttvXp04cGDRowduzYLKGDyJ/c3PS5y4cWIfKkTe9OqDTpb7mmNJPDckshyjKLxZK+zn0urkEKGWohhHARr2B/p+GDDGsUIv8KJXgYOnQoW7Zs4amnnqJJkyb5XvHA29ubJk2a2G3z9PQkMDAwy3aRf7kZFiGrVgiRNyqNWpbHFCI7/117FDmtapG+kwQPQgiXMBnSpGpBCBcolOBh165d7N69my5d5Aa7JMhu3JuVSqux+++c9td63RlTrlSr6Di+h93jCqUSpepOmCHjy0VJ4GiuBLPJYvtApNFpbY+b0hzPwJ9xudqMY0O9gv15dHQ3VBo1SrUyw/4mkiLjssyjYpVx2czMbRWiOLMFCbmseEBWtRBC5FN2cx05u16D83ted19PFAoFWi9dlntcSB/aYa16FKKsKpQeoNVqqVOnjkuOfejQIZccV+ReYnhMjnM8dJ7yqm0pPyFKi7zMlZAQHpOrQC9zX8rcd6KvheXY36SviRLJkh48KJS5meNBKh6EEK7TpnenLMvJQ873vJ2nvEpA9fJ22+JCIp1OVilEWVIowcPIkSNZvnw5q1atkhL9EiAtxZDjBxspNRMib6RfCZG9OxUPuVnVQuZ4EELkX06rvckwSCEKXqEED0eOHOHgwYN88803NG7cGI1GY/f4p59+WhjNKNNyWj4vr2XYSrXKbujE4xNfsRsqcbfHF6IsytivrDL3HTcnZZwZHxeiJLLY5njIzVALBWaj4+FGQgjhKqY0Ix3H90ClcTyhvaP73YK+BxeipCqU4MHPz48XXnihME4lnHDF8nlSzi1EwcupX3kG+uAZ6FNIrRGiEOVhjgdZTlMIURR+3fJ9nocPyxLWQqQrlOBh8+bNhXEaUcgyLgeo9dTJm6oQxUxKXBKGpJRs95G+K4oLa5CQm1Ut0ieXlOBBCFE8yPVWiJwV2vSqRqORQ4cOcenSJXr27Im3tzchISH4+Pjg5eVVWM0QuaBQ5nzTZ0oz2k2U03nKq/JmKkQ2ctOvcrNPXuQ0hpX/s3ffYU5UbRvA75n0stneO72KCFYUQbGADbsgInYRpCMdBCkiCIrSRAV77/pZeFVQERCR3tv23pJNT2bO90c2YcMm2zfbnt917fe9JJOZs3HPZHLPOc8B9V3ScrCK4pKg4pKEkGbmb4UowPfUCPq8JaRmAQke0tPTcfPNNyMjIwM2mw033HADgoKCsHz5cthsNmzYsCEQzSC1VF2tBjer3hSAlhDSdtSmX9VmG0LarLoUl+RpqgUhpOlIZBKaUkxIIwtI8DBx4kT0798fBw4cQHh4uOfxO++8E0888UQgmtDm1TTEq7GHd6lCtF4VfwWHQFMvSKsX6H7UWtpCSCCcn2pRuxoPYCIYY7RaFiGkzkSh+uCypucJIXUXkODhzz//xN9//w25XO71eEpKCrKzswPRhDavpiFejT28y1JmrHEdY/pSRFqbQPej1tIWQgKC1b64JOeejiGKgMR3dXlCCPGHiaxBzxNC6i4gwYMoihAEocrjWVlZCAoKCkQTSB1cuOyP4BBgKtJ7/q0K0cJYWNYMLSOk9appOS33NoS0V0xkAMfVbjnNiukYTBTBUfBACKkjqVLuNXLX1/OEkMYVkODhxhtvxCuvvII33ngDgGsYpdFoxIIFCzBsmP9OT5rHhcv+6HOKvEY3XPnEMPyz5ZfmaBohrRYtp0VI9Zgo1m4pTQDgzwcPhBBSV06rvdqRu0NmjQhgawhpHwISPLz88su46aab0KNHD1itVowcORKnTp1CREQEPvroo5p3QAghhJC2jYm1WkoTOF8HgolVR1MSQgghpOUJSPCQkJCAAwcO4OOPP8bBgwdhNBrx2GOP4cEHH4RKRUOLWzpfUy8IIS0fTe8grUl9RjyARjwQQloA+rwlpGYBCR4AQCqVYtSo6jskaZl8Tb0ghLR8NL2DtCZMFMHxtR3xQFMtCCEtB33eElKzJgsevv3221pve/vttzdVM9qsC5fa4ySSaovk8FIqvkVIIPhbBlMUmOdLkkwlh+isOnKIlsgk7Rqry4gHmmpBCKk/Ki5JSOA1WfAwfPjwWm3HcZzPFS9I9S5cam/wtHurLZJzw5wHG+3YNJyMtFU1/W3X5u+6pmUwAVeBVl/9tfISmY3RFkJaEyaKtVrRAqARD4SQhhFsjuqvm2ePDGBrCGkfmix4EOliIKCselO1z/OSWt5FqgUaTkbaqpb0t92S2kJIILhqPNRuqgU8xSXpWoMQUneMsQY9Twipu1p+whNCCCGENJ26jXjgAI6nqRaEEEJIK0HBAyGEEEKanyh6ajfUBsdztKoFIYQQ0kpQ8EAIIYSQZuca8VD7yxKO52mqBSGEENJKUPBACCGEkGbHWN1GPNBUC0IIIaT1oOCBEEIIIc2PRjwQQgghbRbHmqhsq8FgqPW2Op2uKZrgk8FgQHBwMPR6fUCP29gsehPsJovn37xUAofF7vk3x/NeK1nINSqqkE9avLbQPy/sm26iwDxfkmQqOURn1Tu11E9JS9bU/bP0yH7IdMFQhIbXantzbhZ4mRxBKZ0avS2EtCZt4bMz0EzFBtiMVT+r3RRaFTTh9F4S0piabDnNkJCQGqtTM8bAcRwEgYZK1hUttUdIy0R9k5D6YaIIjqcRD4SQpqcJ11GwQEiANVnw8PvvvzfJftevX4/169cjLS0NANCzZ0/Mnz8fQ4cObZLjtVb+7rq60Z1VQloG6quEuG5EgIlALZfTBEA1HgghTYI+lwlpGk0WPFx77bVNst+EhAS8+OKL6Ny5MxhjeOedd3DHHXdg37596NmzZ5McszWymyz4edH7fp+/af4oOmkS0gJQXyUEQMWsz7rVeODAnDTigRDSuOhzmZCm0WTBgy9msxkZGRmw2+1ej1900UW13sdtt93m9e8lS5Zg/fr12LVrFwUPhBBCSCvkmTJRh1UtOBrxQAghhLQaAQkeCgsL8cgjj+DHH3/0+Xx9azwIgoDPPvsMJpMJV155pc9tbDYbbDab5991KXpJCGla1D8JabkC2T/dwUNdRjyAajyQdoo+OwkhrVFAltOcNGkSysrKsHv3bqhUKvz0009455130LlzZ3z77bd13t+hQ4eg1WqhUCjw9NNP46uvvkKPHj18brts2TIEBwd7fhITExv66xBCGgn1T0JaroD2T/fIhTrUeOB4Hkyg4IG0P/TZSQhpjQISPPz2229YtWoV+vfvD57nkZycjFGjRuGll17CsmXL6ry/rl27Yv/+/di9ezfGjh2Lhx9+GEePHvW57axZs6DX6z0/mZmZDf11CCGNhPonIS1XIPunZ8RDHVa1AMcDTEQTrQpOSItFn52EkNYoIFMtTCYToqKiAAChoaEoLCxEly5d0Lt3b/z333913p9cLkenTq51u/v164c9e/bg1VdfxcaNG6tsq1AooFAoGvYLEEKaBPVPQlquQPbP+ky14Nz1IEQRkEiaolmEtEj02UkIaY0CMuKha9euOHHiBACgT58+2LhxI7Kzs7FhwwbExsY2eP+iKHrNdSOEEEJI68FY/YpLAqACk4QQQkgrEJARDxMnTkRubi4AYMGCBbj55pvxwQcfQC6XY8uWLXXa16xZszB06FAkJSWhvLwcH374IbZt24aff/65CVreesk1Ktw0f1S1zxNCmh/1VULgGrWAuheXBEAFJgkhjYo+lwlpGgEJHkaNOt95+/Xrh/T0dBw/fhxJSUmIiIio074KCgowevRo5ObmIjg4GBdddBF+/vln3HDDDY3d7FZNFayhNYYJaQWorxICMPfqVnUZ8eAOHuq5MhYhhPhCn8uENI2ATLVYtGgRzGaz599qtRqXXHIJNBoNFi1aVKd9vfXWW0hLS4PNZkNBQQH+97//UehACCGEtGLnRy3UZ6oFjXgghBBCWrqABA8LFy6E0Wis8rjZbMbChQsD0QRCCCGEtFBMFAGeB1eH5TTPT7WgEQ91YTdZcfLXffjv49+RtusYRFqSlBBCSAAEZKoFY8znxcSBAwcQFhYWiCYQQgghpIViolC3+g6oNNWCRjzUWv6xDOx660fYLTaoQrQ4ve0Azu04jGvGD4dUIWvu5hFCCGnDmjR4CA0NBcdx4DgOXbp08QofBEGA0WjE008/3ZRNIIQQQkhLJ4qeIKHWKq4pqMZD7WT9dwo73/w/hCZF4ZIb+kGhVaEsqxCHvvkbe97biisfH9bcTSSEENKGNWnw8Morr4AxhkcffRQLFy5EcHCw5zm5XI6UlBRceeWVTdkEQgghhLRwTBQ9QUJtcRzneg1NtahR/rEM7HzrR0R2TkC3m/uDrwh5QhIi0eX6vjj24x4kX94dcb1Tm7mlhBBC2qomDR4efvhhAEBqaioGDBgAqTQgMzsIIYQQ0oqw+ox4gGu6BU21qJ4+pxg7Nn6P0MRIdLvpfOjgFtU1EbmH03Dwy78Q2zMFXB1WFiGEEEJqKyDFJa+99lqkp6dj7ty5GDFiBAoKCgAAP/74I44cORKIJhBCCCGkhWKiANSxxgPgDh5oxIM/NpMVf637BgqtCj1uuRy8pOp7zHEcUq7sAUNuMXIPn2uGVhJCCGkPAhI8bN++Hb1798bu3bvx5Zdfela4OHDgABYsWBCIJhBCCCGkhWKiUL877RwPRqsy+CQKInZu+gF2kxW9br8SUrn/4pEh8REIignDqW0HAthCQggh7UlAgoeZM2di8eLF2Lp1K+Ryuefx6667Drt27QpEEwghhBDSQrlqPNCIh8Z0+Nu/UXAiCz2GXQ5VsKbG7eN6pyL/WDpMJYYAtI4QQkh7E5Dg4dChQ7jzzjurPB4VFYWioqJANIEQQgghLRQThHrVeADVePAp+8AZHP/5X3S4uhdCk6Jq9ZrILvHgpRJk/HOiiVtHCCGkPQpI8BASEoLc3Nwqj+/btw/x8fGBaAIhhBBCWqr6FpfkeFpO8wKmEgP+2fILIjrFIbFf51q/TiqXIbxDLDL2UPBACCGk8QUkeHjggQcwY8YM5OXlgeM4iKKIHTt2YNq0aRg9enQgmkAIIYSQFspVXLLuNR44noKHypjI8M/mn8FLeXS9oZ9rydE6iOqcAH12EcoLypqmgYQQQtqtgAQPS5cuRbdu3ZCYmAij0YgePXpg4MCBuOqqqzB37txANIEQQgghLVR9l9ME1XjwcubPgyg8lY1uN/aHTCmv+QUXCEuJBi+VIOfAmSZoHSGEkPZMGoiDyOVybNq0CfPmzcPhw4dhNBrRt29fdO5c+yGAhBBCCGl7mCgCjNVvqgUFDx5WgxmHvtqB2F4pta7rcCGJTIrQpChk7z+Drjf0a+QWEkIIac8CEjy4JSUlITExEQDqPPyPEEIIIW2PpzhkfYMHWk4TAHD4u7/BAHS4uleD9hOeGoNTv++H3WSFXKNsnMYRQghp9wIWPLz11ltYvXo1Tp06BQDo3LkzJk2ahMcffzxQTSCEEEJIC+MescDVZzlNjgeYCMZYu76hUZ5finM7jqDDNb0hUykatK+wlBgwkSH/WAYS+3ep8+uN5SYUFhTDoC+HQV+OslI9igpKUFpSBovZCoVSgaSUeAy49jLEJ8Y2qK2EEEJaj4AED/Pnz8eqVavw7LPP4sorrwQA7Ny5E5MnT0ZGRgYWLVoUiGYQQgghpIVxF4esb40H9z44aUAHcbYoR37YDblaibiLOjR4X0qdGupwHfKOptc6eEg7m4n33/oMf/y6E3m5BVWeV6lV0Om0UKoUsNnsKMwvhiiKuPm26/Dc/PEIjwxrcLsJIYS0bAH5lF6/fj02bdqEESNGeB67/fbbcdFFF+HZZ5+l4IEQQghppzw1Guo51eL8Ptpn8GAs0iPz3xPoOPAiSKSSRtlnWFIU8o6l1ziShDGG99/+HKuXboBWp8GlV1yM2+6+CaFhwdBo1VBr1NAGqSGXexe6tFpt2PXXv/jms59w37DHsf69FejSrWOjtJ0QQkjLFJBPaYfDgf79+1d5vF+/fnA6nYFoAiGEEEJaIHeNhvoWlwQq1Yloh079th9SuQyxvVIabZ+hyVHI2ncaxoIyBEWH+t1u45p3sG7VZtx4yyDcdf8tkMlltdq/UqnAoCEDcHG/Xljz0iY8/sAkvPfVeiSnJjTWr0AIIaSFCchymg899BDWr19f5fE33ngDDz74YCCaQAghhJAWyFPjga/H3XrPVIv2eRPDYbXj3N9HENs7FRJZ491LCo6PBMdzyD+e4XebX3/6A+tWbcad9w/D/Q8Nr3XoUFlIaDCmzB4LlVqFCY/NgtlsaUizCSGEtGABCR4AV3HJXr164fHHH8fjjz+O3r17Y9OmTeB5HlOmTPH8EEIIIaT9cNd4QD2KQ3pGPLTTlS0y9pyA02pH3EWpjbpfqVwKXWwY8o9n+ny+rFSPhTNX4JJLL8Itw29o0LG0QRqMm/IocrLy8PLidQ3aFyGEkJYrIFMtDh8+jEsuuQQAcObMGQBAREQEIiIicPjwYc927bkiNSGEENIeMUEAeL5e1wDuURKeOhHtzNm/DiEsNQZKnabR9x2SEIncw2lgIgPHe/+3eX3lW7DbHRj12L2Ncu0WGx+Nex+8He+//TmG3n49+l9xcYP3SQghpGUJSPDw+++/B+IwhBBCCGllmCjUb5oF4Bkl4Rk10Y7os4tQml6Anrde0ST7D0mIRPru49DnFCEkIdLzeFZGDr74+Hvcdf8tCA4JarTjXTvkKuz6ay+WzFuNz358C9J2vEoJIYS0RQGbatFYli1bhksvvRRBQUGIiorC8OHDceLEieZuFiGEEELqgQnO+i2liYqRkjzfLms8pO06BplSjvAOsU2yf11cODgJj4KTWV6Pv73+Q2g0agy+8epGPR7P8xgx5i6cOZmGrz/9v0bdNyGEkObX6oKH7du3Y9y4cdi1axe2bt0Kh8OBG2+8ESaTqbmbRgghhJA6YoJQ7+ABcE23aG8jHkRRRPo/xxHZNQG8pGku5SRSCXQxYSisFDyUFJfh289/wpCbB0KhkFfz6vpJ6ZCIK67uh3WrNsNisTb6/gkhhDSfVhc8/PTTTxgzZgx69uyJPn36YMuWLcjIyMDevXubu2mEEEIIqSOxASMeAFeByfZW46HoVDasehOiuyU16XFCEiJQeCobTGQA4BmJcO2Qq5rsmHfcMxSlJXp89v43TXYMQgghgdfqgocL6fV6AEBYWFgztyRwGGNgjDXZ9oQQ0lia8vxD57a2wVVcsp41HlARPLSzEQ8Z/56AMlgDXWzTXvuEJETCbrJCn1sMURTx2Qffov8VF0Mb1PjFLN2iYiJw1cBL8faGj2C12prsOKR+GKv7CjJ0riaEAAEqLtlURFHEpEmTMGDAAPTq1cvnNjabDTbb+Q8ug8EQqOY1OsFhh2i1wFZSBHAcFGGRkCiV4KW+184W7HY4zUbYy0rASaRQhkeClyvAU8Em0kK0pf5JvAkOOwSzCbbSYnASSaXzj+/zVV2IghOi3Q5bSSFEhwPy4FBINUGQyBt/6Hd7Fqj+yQRng/4uOJ6H2I5qPIiCgMy9pxDTI7nJVwPTxYaB43kUnsrGqYxMZGfmYtSj9zTpMQFg2B1DsGP7bnz18Q8YMeauJj9ea9Mcn52C3QZHuR6OcgMkCgXkoRHgZXLwEv+hoehwQLBZXdetTIQ8NBxSlRq8jM7VhLRHrfob6Lhx43D48GH89ddffrdZtmwZFi5cGMBWNQ3RYYcp4xycpnLPY/ayEsh0odDEJ1Y5iQt2G8rPnYJoOz9H0l5aBGVkDJSRMRQ+kBahrfRP4k2w22E8dxKC1/mnGIqIaKiiYhr0JVN0OmErKYIl7/y8c4ehDLxMjqCOXSGRKxrUdnJeoPonEwRw1Xx5qVE7q/GQfzwTDrMNUV0Tm/xYEpkUQTGhKDyZhZ9OHkJUTCQ6d+vQ5MeNionApVf2xZY3PsY9D94OmYyuWSoL9Gen02pB+ZkTniKuDgDWwnxoklIhDwrx2X9FpwOm3Ew4yko8j9n1pZCqtdAkd4CEwgdC2p1WO9Vi/Pjx+P777/H7778jISHB73azZs2CXq/3/GRmZgawlY3HUW7wCh08jxtK4bSYvR5joghrUYFX6OBmLcyD6LA3WTsJqYu20j/JeUwUYSsu8Aod3GxF+RDtDTv/MKfDK3RwEx12WPJzILazuf5NKRD9kzEG5mzAcppof1MtMveehDo0CNrI4IAcLyQ+AoUns7D1x+24fMAlTT7Kwm3o7dcjNzsfv/xAS7JfKJCfnaLTCXNWus+VY0yZaX5HGwkWs1fo4OY0G+EwlDV2MwkhrUCri5AZY3j22Wfx1VdfYdu2bUhNTa12e4VCAYWidd8BE50OWIsL/D5vKyqAVBPkGe4mOp2wlxT53d5eWgypSt3o7SSkrtpC/yTeWMWIBH9spUWQqus/P9xeXub/ubISqKLjAHkD7p4Tj4D0T1EEwMA1YGUGTiJpN8tpCk4B2ftOI7Z3h4AFAMEJEcjYcwIKxuPyqy4JyDEBIDE5Hj37dMOWjR9j2B1DAvb7tgaB/OxkghNOs9HPkwyCxVxlpBkTxRqvW+XBoY0y9Y4Q0nq0uhEP48aNw/vvv48PP/wQQUFByMvLQ15eHiwWS3M3rekw10nc79MVF25VH/NNbEd3hgghgcVQw/mqgecfJlRT2IyKl7U67ruljTHioT0Ur8s/lgGHxY6oLv5Heja24LhwMDD07dwJsfHRATsuANx0y2CcOHoae3buC+hxSSU19Ctf53vGWM3Xre2gvxJCvLW64GH9+vXQ6/UYNGgQYmNjPT+ffPJJczetyXBSCeTBoX6fl4eGgZecH7zCSSSQ6fwPwVSEtJ8VQAghgVXT+UceGt6g/cur2bdUrW3QF1gSeMxZETw0oMYDJ5G4vsTUo9p+a5O19yTUYUHQROgCdkwRQInJhO6JTbt0py89endBYlIc3tnUdq/xWjyJBHw1tXN8jaDlJRIoQvyf62XBoeAkrW7QNSGkgVpd8OBekufCnzFjxjR305oMx/FQhEWA81EQkpfJIQsK8X5MIoEqJh7gqv7nlai1kCiVfo8lOOxw2qwQbLVbwkp0OlyrbTgdtdqeENL2MFGEaLdDtNvBcZxrugPv4/yjUkOqVDXoWLxcAanWx5cujoM6PhGchHedk+z2au+4kZbBM+KhIcED755m2LZH8wkOJ7L2n0Fkl4SATjs4cvA48vRlCJEoAj6qhOM4DBl2Lf78bRfOnckI6LGJi0Qmhzo+2edzrmtT13QJ0eG+HnT1aZlW5zOwcK2yFlWxGo3gWgHJYW8XI5YIae8obmwlJHIFdB27w1qUB3tZKcABitAIKMIjfS4hx8sV0HXqBktBLpxGAzheAkVYBOSh4T6XMRIdDgh2Gyz52XCaTeClMigjoiHTBfusEi8KTghmM8x52RBsFkjkCqii41y1JmjFDELaDcFug7UoH/ZSVxExeWgYFBHR0HXqDmt+DhxGAziehzw0AoqwiAYvo8ZLZdDEJ8OuL4WtpADMKUCq1UIVHQdOIoMlP6di6TYGmS7UtYqGXEHzw1soz4iHBk61AFBR56HtVsrPO5IGpzWw0ywAYO8/B2HmBMDmhLPcCpmuYeFhXV0+oB++/PgHvP/2Z5i3ZGpAj01cJCoVgjp2hSU/B4LZDE5WcY0YpAMYg620CJYCV/FyqUoDVUw8JEoVglI7w1pcCHtZScU5OQSqyGhwUimcVgssedlwGsvBSSRQRERDHhJKq10Q0oa1uhEP7ZlEoYA6NhHBnXtA17kHVNFxfpeOE+02GM6cdI1+iE2AMjIaDqMBxvSzPle1cFrNKD9zHE5jOSCKEO02mHMyYM7NgmD3Hv3AmAi7vgzl505CsJgAUYRgtcCYfga2kkKqKk9IOyHYbTCcOQ5bUQGY4AQTnLAVFaD8zHGIdhvA8xXnnxg4TUYY0880eFUd0emAKTsddkMplOHRUMUlgJfJYTh7EoLVAltJEZjTCSYIsJcWwXD6mKstpEUSnQ6A4zzhQX24R0u4Q4y2Kv2fE9BGhkATHrhpFoIgYP+/hxGWGAUAsOaVBezYbjKZFINuuArffv4zykr1AT8+ca1QYUw7A6lSDXVcAhShEbAVF8CSnwuH0eBa3cJmBUQRTlO563rSVA5TTiZEmxWq6FjXSFwmojz9LESbFYZTR+EwlIGJgmtVotxMmDLPQXTQCFpC2ioKHloZjufBy+WQyOR+L9REQXAtsSk6YdeXwl5aDFtpMZwmIwSLCYLVe5k7wWaDOcf3UkwOfWmVauGiwwGLn+0t+Tlt/uKPEOKa9mYvKwHzcZHIHA44TUaITkfF+acETlM5BIu5yvK/dSXYbHAaDRDMJtjKimEvLXaNAhMEWAtyoQiL9G6LIMBaVEDTLloo5nT4nEZYF+7gwd+yfm2Bw2JDzsGziOoa2NEOJ4+dhcVsQcduqZAFq2BphuABAAbfcDVEQcBnH3zbLMdvzwSHHebsDNfqFg47wEvAGINgtcBeWuS3VoM5OwNyXQgcRoPrPF1aDLuhDHJdMMy5WT6LSzqN5VVudhFC2g4aE9+CiU4HRIfDlQgDkAeHggmCZ/1jeXAoOKnMM9VCsFkhOuywl+vB81LouvT0vJ6TSKCKjoe9rAS2shLX8LgKTBRcSbUfDqMRUtX55e+Y0wnmb1QDYxDtdr8jMQghLQNjDKLD7gokrRZIVWpI1BrwUqnrvFFugOiwQ6YNAq9UuVYOcDhgLy8DE0TIgnTgZTKA46peQHIcJEolpJogOMr14Hgequg411KYHAdHuR4OY3lFjRrXfmo71N5RrodMFwJFWCScZiOYIEARFgnGRFhysqCMiKryGruhFMqoGEh4GsLb0ohOZ4PqOwBw1TPiuDYdemftOw3RKSCqW2JAj7vv30MI0gUhOi4K5UYB1rwyMMYCPnUpSKfFlddcig83f4GHn7gfcgX15YARBPBKFbQpnSFYLXCay13Tebv0hMNigWCzgJfJq4xmEx12SBRKaJM7wmkygjEGZWQ0OKkM1sJ8v4dzmIzgZTLPZ5NEpYZUrQEvk9OUOUJaOQoeWijR4aiYq1wIAFDHJcGSnwOHvtSzjbUwD4qwSCijYgAGmLLTXVMlAGiTO8KclV5l7WVVTLzry0JlNZzIq6yvXtP2DRgySwhpeqxi7XXD2RNApZEAUl0IlKHhMKafhXuJXmthHniFEtqkVBhOn/CsHGAtyIVUo4UmMRWmjLNe+9ckpsJWXACnqdL5p6gAuo5dYcw8C9GreC0HbUpHyLS6Wp07JEoleKkMxrRTnsdsxYBEqYImKdXnyAaO58GBLlhbItFhB883cMQDx4GTSNp0keNzO48iJCkKyqCqKwg0FQZX8NCxSwo4joMiTAtzWiEcBgvkwYFrh9uNtwzCH7/txI/f/oo77h0a8OO3WxwHdUw8jGknIdrPhwsWjoM2uSOYIgjMR5CgjIqFw1AGa9H552xF+ZDpQqCOT4I5O73Ka3i5AjK1BoaTR71ucHESKYI6doFUGfi/O0JI46FviC2U02r2hA7uqsCVQwc3W0khBIcddn2pJ3SQaXVwmoxVQgcAsORlQ3LBiZuTSCDVBvlti0yt9d5eKvW7tBInkXoqHBNCWibR6UB52mmv0AEAlGERMGacDx0829ussBTkQRHqvRSvZ7SE5vw5QqoJck2pMHmffxShYbAU5F4QOgAAc9V+qOWXRolSDXNO1er2gtUCh0Hvc36wMjyqwcP5SdMQHQ2fagG4ilO21REP5QVlKDqVjdgevlcWaCpZ6dkoKSpFpy6pAABZqAbguGap8wAAsfHRuLhfL2zZ+DFEmjoVOBwHS26mV+gAAGAMxvSzkPA82AXnb04igVSl9god3FyjdhkkiqorrCkjY2DKPFdlVC0TnH5rlBFCWg+6EmthRIcDoih4DUOTB4fCXlZcZVuJUgVFRBR4joe5uOD89iGhMOdm+z2GvazEdWeR4wEwMEGAOjYRTosZnEQCjjGA4+A0G8ErVFXm70lkcmiTOlS5WwqOgza5Q9URFYSQFoU5HFUuFHm5HKLN5lq+NyISUrUGYAwMgL20GA59GbTJHVwrRlRiKy2CKjLWEzTIQ0Jhyc+FPDQcivBI1zQMjgfHcTCcOuqnQQxOs8nnFC3BYQcTBEAUwPESCNVMC7OVFkOT6P3lTKLSQKYL9TlE1z3dhAmC6665VFavVXlEwVkxBU0EJ5GAl8po5FctMYcDnEZb84Y14CTSNjvi4dyOw5AqZYjoHB/Q4+779xDkCgWSUl3H5aUSyILVsOSUQtc1LqBtcbvp1sFYvvA1/PHbTgwaMqBZ2tDWCTar65zLARwvBWMiHOUG1xS3kIrwmePgNBlhLSmEaLNCEZcMmUzqmXYnOB2wlZWAl8uhDI8GXzElWHQ6YSsugK24EPKwCFhys7yOLVEo/YYLos0K0els8MpIhJDmQ8FDC8GYCMFigTHzHOS6EK+CjpxEUqVoljw4FDJdMCx52VBFx7k+JNx4SZWCkJWJlQq/WQvyPMmyVBMEVVQMjJlpYE4HpFod1GGRPoMETiZDUGoXOMr1rjl4CgVkQSG0bB0hrYDv6QgSiEyENrkDLIV5sBbmeR5XRES5RjX4KAbGnAKkGi3kFRekUrUWquh4cDxgTDvtuQutTelUbZt8fWkUbFaYc7M8dW3A8VCER0Idn+xzmC6YCIlCBXloOCCKkIdFQKpU+V5C2OmE3VAGS26W53wpVWugSUz1eSfOH8FugzkrAw5jRbV9nocqKhaK0AgKYWvARAFMFMD7KU5XF7xU0ibvhgoOJ87+dRjR3ZIgkTawFkYd7dtzGB06JUFSqQaHPFwLS2YxmMjA8YH/rO/crQM6dU3Fm6+/j2uvv4quNxqR6HDAaTHBnJ3h6Uu8QgltYirUsYkQnQ4Ys9I8N5xkQcHQJnWE6LSDrxi55noRD01CKjiJBOq4JJhzszx1xHiZHKqYeDiM5ZDpQsDLZLCXlYKXyVy1empaFc3HZxAhpPWgWzIthGi3w3DmBESbFYLFDKnm/NQHp8UMWaV/cxIJ5KHhruWLHA44LWavoc4Xvv5C8pAwMEGAJS/b6yTvNJXDlJUOdayrarbTaIAx7XSVO4yiIMCSn1Ox/KYBHM/DaTaj/OwJmHPSIbbR4a6EtBW+vhALNhvkWh1MORmeaVuA68uhtSAXAAdfl3wybRB4uQKaxFRoElNdU7FkMpgy07yGvot2u98pWgAgU2u8/i3YrDBlnjsfOrgaA1tRPgSbFbLg0Cr7kKjU4GUyaBJSoEnqAHlQsN+7Y06TEeasNK+Q1mk2wXDmBIQLhxT7ITrsMJ47dT50AABRhCUv27XiB10kV8s9dLtRplpIpG1yGb6MPSdgN1kR36djQI9bUlyGjLQsdOqS4vW4IlwL0e6EvaTqVM5A4DgOw+4YgoP7jmLPzn3N0oa2SnTYYUw77RXgiTYrGDiIgtMVRlcKrR3leljysiBVa2EpyKm0IxHWojwowyJd0yMqXUOKDjtMmeegCA2DRCaHIiQc2uSO0MQnQ6pSg5fKAH/1eDiOpswR0spR8NAMRKcTotPhuShljLmGLzMRspAwyMOjoAiLgFTrWnnCoS+DPDgU4HlI1Vqo45MhOh2uSr+aIPAyuavAJMe5CrRJJFDFJvi8a8crlOBlMliK8ny3zWEHGHOd3DkOUpUaTBAgVhpRwZwO2CuGWzvNJtjLXEvlAYDDoK8yhJsQ0vyYKLpWyhEEcFIZFOFR4CQSKMIioYqOgzws3PV8lRoMLtaiPHA8D2VkDFTRcZBpdQDHQRUT71rxwnl+uoElP6fK620lhVBFxfrct1SjBTgegtMBwW6D4HBAFJxwmk0+t7cVF0LhI3hQRcV6Ku5XdydUdDhgzsvy+RxzOiCYTV7vlz+C3e536oelILdN3oFvTO6ApzFGhnBSKVilz9W2gDGGE1v3IrxDDNRh/m8mNIV9ew5BIuHRoXOK1+OyYA04KQ9LbtWaU4FyUd8eSO6QiPWvbGm2NrQ1gsMBS0EuANf5WBUdB2VULCQqNTieg62oAOA4yEPCoIqOgyIiCpxUBsFqAROc4KQKKMKjXJ8lIWGQqoNg15d6ihFfyFpU4LlJVflczUllUEZG+3yNMiq2IpgghLRWFB0GkOiww2Esh7WoABAFyIJDoQiLACeRwmm1Qte5BxymclgLcgDGXCf4qBgYM87CUpALXafusJeVVNx9hGsYsUoDc24mRKcTus49YC8tcq2VrC+DIjIGvERSUSzONdJBHhwGJjjBqrkzJNgsFVM5QmAvLYYx8xx4mQyqqFhIlGrvaR2+fk+nE4EdEEoI8YeJAgS7HdaCPDgtJtdQ16hYKCOiINeFwFqUD4epHBKFEpxEAllwaNVCthwHdUwCmNMJh7EcEAVIg4Khi0sEx/OuObsVYaQiNAKqqBiYstK8zhWC1QKHyQhNUgdY83Mg2KzgeNfoLXlwCJgowJLlelyqUkOmC67ul3ItwcjxrukVKjVUkTGwlZVAraq56jljot8lhKVaHTiZ1LVKkNnkde67sP6DYLX4P4bgrFK8k3gT7a6Q68I6QvXh/kIiOtrOcs45B87CkFuCi++9NuDH/m/PQSSmJECh9H4vOZ6DPFQLc3YJQnonBbxdgOuL6u133YTXVr6JXX/txRVX92uWdrQpogDRYYc2pZPrhpK+1BU0BIcCYsU5NioGttJiV+0GmQzq2AQINisEqxXqmDjYivLgMDogVamhCAmFtbRqbTI3wWL2Oa2Cl0igjIwGL5PDUpAL5nSAl8mgjI6DXBdCtXMIaeUoeAgQ0WGHMTMNTqPB85hQkAtbSSF0HbtBHRMPU9Y5CBaz53lLXrZrreQO3QAOKD93ynOhBgCWnExIlCooo2LAS6QoP3vSa7SBOcsEqSYIuo7dINhtcBjKYEw/jaDULgDP+70o5mUK8HI5jGmnPfPpRJsV5cZyqGLifA5xrqzBa7ITQhqNaxrUSbhXqhBtVjhUGvByGczZ51eHEG1WOAxl0CSkQLTbIVjOjzZQxybAVlbiff6yWSHTaGHJy/a662/OzYREoYQmPtkTerrZS4sgUSqhikkAmAjGGBxmE0S7HaastPPb2e2Q6UKq/b04qQyahGRwHOeqs5CbVXEhW/Ocbw5cxR1y72lhvFwBZViE6/2qcu6LhyI8Cnyl85u7YJrvg3Cu8yzxS7BZwcvkjTJP372akmi3tYnggYkMh7/7GyGJkQhJiAjosY1GE04cO40hNw/0+bwiIgiG4zkQ7U7w8ua5jOzTryc6dErGmpfewOUDNlCth4bieahjE2DKSve+zrSYIesSAmVElGslpErnRaexHMqIaEiUSlc9n4qg2W6zwq4vhTa5I5zleq/9eQ4nk/sNEXipDIrwSFcgXVHsnJfK6L8xIW0AXRUFiGCzei7aeaWqoiYDB+Z0wq4vg2A1eYUObqLdBpu+BA5Tuc+Tt2C1gON42MpKfU5xcJrKIdgsMOdkwF5W4nqQ46AI83Mhw/OQqjUw52Z5qtHzcoUnTLDk5YBjnN8aEhKFsl5V4QkhjU9wuL/Qew8/l4eEwpzje6qBOS8LyohIz785idQ1KqtS6AC46ikIVovPqQaCzQrBZoOkyugD13QwU04GrMWFsOTnQuY+31TGREAU/dZnkOlCIFjNMGWec40Iy8uG6LBDGRlTq2H7nEwGZWRMlceVEVEw52f7LGBmycuuco51jRLxfb5ThEbQsOAauIOHxsDLpBX79D1VqLVJ23UU+uxipF7VM+DHPrD3CBhzFXL0RR4RBDAGS25ZYBtWCcdxuHvErTh84Dh+/v73ZmtHW8FJpHAYjT6vM8GYa/qcj/OitSgfnERadSQsYzDnZkEZHuXzeMrI6GoDQo7jwMvkkMgVkDRSOEkIaX4UPASIraQYyshY6Dr3gCoyBvLgMOg6dYOucw9IVErYqhmSZi8rAUT/81YZY94F2C7gMOhdxSl5HpqEFFjycyBVa6oMZeYkUmgTU11LwzkcUMclQZuYAkVYBNSxidAkdYBEqYJgtUCTmAKJUuX1el6ugDalEy11RAgqplaZymEtKYTDWF7rgoWNiQlOHxeSnGturZ+5t8zpBMefv6sv1WjhKNdX2U6m1cFezXnHbihz1YFw43lokzsA4KBN6gB5cChUMfGQqFQ+Rw5Y8nOgjk+ucj6RqjVQxybAnOe9ZLAsJAzykHBXWFtWAltpEQSrxWexW47joAgJd61+UQkvk/utcQFUnVrBy+QI6tClSsEzaZAOquhYGhZcA8FqqX7USB1wHA9eJoNg8z/9pbWwm6w4+OVfiOqaiOC48Jpf0Mj27NqPhMQYaLQan89L1QpINAqYs/1ftwRCt56dcXG/Xli1dD0sFv/L7JKaMYcDdn2JnydZtdPKnGYjJKqqfyuizQqJWuMa/VWJMioW/AXXj4SQ9oFuTQeITBcMMBGG08e8UmN5cCjkYRGozfDgeuM4yEMjoIiIAmOAXBcCMEAZGQtleBREpwO8TAHwHJggguN5aJJSYcnP8RqFwUmk0CSmAOAgkSsQlNrFVXzNbnMNm5PJIKHQgRAINmuVqVHuL6l1Waqx4XydV2ouvsfJ5J7+LVVrPEXHarf/80/JQ8MhUarASSSukQgcD3NWOpzm8xXxOV4CTWIKLAV5XtM7RIcd5ux0aFM6uQIUh8MzwoCXy6Hr2A2i3Q4mOF3vqUQCR7ke5qwMr99REREFVWRslZEQrjnKiVBFxUCwWitGdtRtmhjHcZAoVdB16gHRYXfNR1YowUtlNPKrBqLT6Xq/Gil4AFzht2CuOnKwtdn32XYIDic6Duwd8GObTBYcPXgC1w65qtrtFJE617KaFcVcm8t9D92B+dOX443X3sXE555stna0Z1w1nwMcz0PXqTtEuw2MMUgUStc1J03JJaRdoiujAJEolDCcOlrlcbu+FFJtEOTBoVWGMrspQsOrnyvM85CHhrmqDvt5va2sGPaKURWcRApWMZQZAHSde8BaUgR7sev12pROsJUUVZn6wQQnTJlp0HXq5jqsTOa6mK9FMTdC2gvR6YAx42yVkQbupcqCOnRtlCr+tcFLJOAViip38XmZzG+dF04mAyeRQFppeUtFaLjn/OHmKNdDHhIOi8X3yhPy4FCYMs6CiQyi6IQqKhaCxeIVOgCu4pfGzHPQJqaeXwe+gig4wfE8pCodLiSRK7yG6jotZpiz0qtsZysqgFQT5HMVDF4qBaRSSBSuu2+i0+EZ1VUVV2WUF1ARPsjlkDTiF+j2wB0ySeSNF8RJlCrYSorABKHV1hrK/Pck0ncdQ9cb+0GhDfxd4f3/HoIgiujSvfrlO5WROpjTCmEvLociomr/DJTomEjcMnwItmz8GDcOG4Tuvbo0W1taM04mgyIkzOeKROA419Q6H9OBgYppdz4+B9znS8Opo66Raxzn+VzUpnRy3QQjhLQrNA40QKqbSmEtzIdEqYJUra3yHK9QQhYUDKlK7fOiV6rWgJdIIdeF+JziIAsKBmMMyvAoz1zkytXWFeGRAM/DXlLo9Tp/UzeY4ITgZ4k4xphneTnBbm9Ty5oRUlvM6fR7gSbYrBADuNwsL5NDk5BaZairKDihjk3w8YqK1Ssu6LtMFKsUexSsFkgUCh91HFwXohK5wjXVwW4FnE7I1FrYy/ycByuWruQuCGQ08cmeooHVYUyEtdh38AoA1oLc8+cmmw2iUHX6BeAqaqZJSKnyfgGAOi6xSvtI/TlMRnC8pFHfU6laCzAGm7+/sxZOn1OMPe9tRWTXBMT0SG6WNuzasReJSbEI0lW9HqlMFqIBJ5PAlFEUoJb5N+yOIYhPiMGsiYtpykU98TwPeUiY7xF5HA91XJJrFaELqKLjITp9rHTG8VBFx3kGxYkOu3fRyoJcn9PgCCFtG414CABRFMGqWc9ddDgg2q1QhEVAHhJWsfYxgzwkFFJNEIzppwEA2uROcJqMrpoPHKAIiwQvV0B0OmDOzYImPgmCxeyaj83zkAeHuS7CSoog1QYhqEMX2A1lcJTrXUsWRURDolK7KrtX/qJRwxJwvpbiFB0O2EqLYC3M89xtUkbGuAqs0cU6aUdYTf0nwEssSlVqBHfpCWtxAZwmE3i5AhBFOE1GaFM6wV5W4ioEqVRCHhwGW3EBVJUuPkVRhL20GDKtDjJdMOxlpa7lNLU6gOOgioqFKAiwlxR5zktSbRAgilDFxLtCTF7i+jJfTRjJRBGK0Ag4yg2QKBRQRkSDk8trNSSXMQaxmhoaosMBp7EcpqxzrvdEq4MmLhG8QlllmLhEpap4vwrhNBnBy+VQRcSAVyrA863zLnpL5DSVu6bhNOIwfV4mg1SrgzknCxKF0rvGSAtnNZjw59pvoAhSo+uQfs0yfUFfZsCxQydxw7Cal+/keA7KSB1M6UUIu8R3EcpAkUqleGL8Q1g8ZxUWzliBZa/OpWKE9SBRKKFN6QRHuaHiOrOiELkowFpSCF2nbrCVFHmWGVZGREF0OAFRgDa5I2ylxRAdruU05cEhsOTnQBWb6PNYzOHwW2eIENJ2UfAQADzPQ6oJcgUKPkjVaghWK6yFea7l3CKiINUEwVKQC3NOpmc7w6mjkOlCoIqJB69QeOopCHYbJDLX8pdStQZStRaMMVgLciE67FDHJUEWHAqJTOZafjM8yrU8UcUFvSAyr6XlGBg4iaRqleIKF468EAUBlsJcr6keTBBcleadDqii42k+H2k3XEO8OfirpRDouf8cz0OiULpGMoiuGi6iww57WQns+jLIg0Mg02oh2O2ekFMdl3S+vTzv+jKXnQ5eJodMFwyO4+E0lsNakAupRgtNUkfIg0Nc21da5UEREV1RwJEDRAGcVOZz9R3AFZBIVBoowiLBSXiv/dT4O3I8ZNogv9PVpGq11xQPp9EAw5nj0HXqAYnCu7I6x7nfr3jP+0VFIhsXEwQ4TSYowht/mUhlRBQsghPG9LMI7tarTn9HzcVhseGP176G02bHJfcPgrSZlqjcvWMveAmPLj2qn2bhpogOhiWnFPZSE+ShvgtRBkpcQgzGPPUANq55F4nJcRg39bFmbU9rJVEoXaFdcAgADhKZDE6rFU5DGQylxVBGxUIVGQ1BcMKUkQbRaYc2uSNMWemQ6YIhUyg8NY44icRvACRRa1yBNCGkXaGrqQBgogiZVlel8rmbMiIatlLXcEXRboNUEwSO5+EwVK0k7yjXg5dJvYo4chIJlFGupeGcZhOsRfmwFRdAdNjBSaSQarSQVIw64DgOvFTqvRa9TAZVTLzn3/aSYigjon22VarWVlkijjkdfutL2IoK/X7RIKQt4qQyv8vVykPD/Z4HmhrH8+ClUtcXaYkUsuBQgImwl5XAWpgPR8VIK0V4VJVRSlK1BpxUCtFhh624ENaifM8XeWVkjOu8IpFW+ZLH8zwkMjkkMhk4mdw19NYHiVIFXqYAL5FAIpfX+csix3GQh4R5rcZRmSIsssrweyYIsOtL/E4Jq/x+kcblWiWFedURaSwcz0MZGQMmCrCVNP80gJo4bQ78ufYbGAvKcNHwAVDqmucLPAPw17Z/0KlzKlSq2tWWUEQEgZNKYErzP80pkC676hLcM/I2bFzzLl5f+RZN92wA1/ncdT7leB7KqFgArmlrxoyzsGRnQHTaIVFpwEQBTHDCXlrs+iypuHZVRsbA5vOGGwdVdCzdkCKkHaIrqiYkOp1wmMphzDwHS0khglK7QKoJ8jzPyxXQJKbCXlYC5nSCVyhcVe/lioqq7V29RhdIlCroOnZzrUBRCRNE2EqKoElMdQ2jriDVaKFJTIW1uLDaD2CO4yDXhUAdn1yxlrPBNYQ6Ov58gS6OgzwkHJqkDlW+lDA/86Urnq3heULaFl4igSo6DsrImPNFYTkeyohoqGPiW8QdWF4qhTo20VXjxX1HquLiUhUZ7fVlmzEGW0khNImpPs5fKbCXltRq+gjP85AFBUMdl+QVvsh0IdAmd6wy8qDOv5NMjqBO3by+zPIKJTRJHWArLvQ5hcxRbgj41BcC2PSl4OWKJlt6mZdKIVVrXMPFWzDB4cRf679FaXoBeg8fAG1kSLO1Je1MBrIzc9H74m61fo3rC6kOxnMFLeZL/tDbr8fdI27FG6+9i+njnodBX97cTWpVBIcdtrISGNNPw5h+BvZyPZjTAZkmCKrYBE+tMICDPDgU2qRUSNVayEPCPJ8lnEQCVUw85CFhUISEeS21ySuUCOrYxaswMCGk/Wj+K+A2SnQ6YSnI8RoJ4DSUQR2XCD4+EWCuZeQ4CQ+pWgNVdFzFknPnL8Skag2COnRxTXlgOL8k3QU4joNgMcNqtUAZEe3Zxmk2wZR5znUnsIb5jnzFXVpZUDAgCq4vTBIp5KFhrgt2jgcnk/qe4+yj4FCdniekjeFlMqii41xf7EUR4HnwUlmLuXvOmAjBagYTBGgTU12PAa56DxXL47pxHAeO52HKOAdFWASUEVEAYxAFJ6yF+a7zUy2nU0vkcnBhEZAF6Vxf+DkOnETqGZHVEBzHQapUVSy/KbjqSfA8zDmZFXfYq+JlMpoLHmBMFFwrovhYZaQxSdVaWAvzXEv31aJAaaAJTgE7NnyPotM5uOjOAQiOC2/W9mzbugO6kCCkdEyqeeNKlHGhsPxbCltROZSRLaOmxrA7hiAqJhJbNn6M4dePxpTZYzH0jushoTvs1XKvvFS5OLKjXA9d5x4wnDoKZVwigjp29XymiQ479KePQZuQAlVcIlRRcWBMqCgaKwdf8XkXlNrZdQOKMddyyFT3i5B2i4KHJiI67FWmH4h2G4xpp6EIi3RVSHd/CanmooiXyqp9HnBdPCsjY2DOToc5J6PK8/6GfV/IvSycl1p8UPNSKXiFEqKtajVp95r2hLQ3HM+32Ls6osMBU8Y5MFGocldYsJih69TNK3yQh0bAWpgPa2FelX2p4xLr1Md5ngd8VU5vJBeeM+UhYX5X6VFGRLWYMKi9cBj0gChCpg2qeeMGcK+24jSWu+7GtiCiIGDXpv9DwfEM9LrjKoQkRDZre4xGE3bt2Isrru5X5/4gD9OCV8pgPJ3XYoIHAOh/eR906JiEj9/7GrMnL8Gm19/Do888iGG3Xw+ZnK5JLsQYg11f6nNFJsFqhkwXAmtOJqpc5fE8JEoVJNVcq7qXLSaEkFZ3xfXHH3/gtttuQ1xcHDiOw9dff93cTfKpuiGettJin8sIMVGEYLfBYTLCYSqHYLeBib4LPF5IrguBTFf1DpI6Pgl8E68vz8vk0CZ3rDJ3nZPKoE3uSOk2IS0Mczj8nltEh73K+YmXyaBOSKmyrUwXAnlwaKOMGhCdDjitFjiMBjgt5kZbdlSmCfIZvqpi4sHLmy4AIb419TQLN14qBSeVwVGpqGhLIIoidm/+GTmHzqHHrVcgLNl3PaVA2rb1bzDG0OeSXnV+LcdxUMWFwniuAKKjdtcrgRIWEYpnJj+COS9Mgi44CPOmLsPNA+7Hlo0fw2y2NHfzWhQmOF1T0nww5WZBFRNfdalNnkdQSmdwTdyXCSFtR6uLIE0mE/r06YNHH30Ud911V3M3x69q5w0zERdWvBdFAc5yA4yZ587PReY4qGMTIQ8Nq3FeOC+TQZOQBNERC4fRAE4igUwTBE4qC0gBH6lSBV2n7hCsFgg2q6syslLVYu/4EtKeMT8rbpzfwPt5XiKFPCQUMo0WDlM5mCBAptWBl8kaZUSTYLfDlHHWa+UJScW0iYaeQ1zFcxOgCI+Gw2QAx3GuYr8SacBXGGnvmCgGZJqFm0SphNPUcoIHJjL8+95WZO09hR63XI6IDrHN3STY7Q5s/XE7evXpBrWmdkUlL6SKD4PpbAFMaQUI6tz8v9OFOnROwYTnnkBOVh5+/v53rHnpDWze+BHGTXkUd4+4laZgAACD/zodTidEhwOq2AQwQYBgtYCXycHLFa5rTBo1RgippVZ31TV06FAMHTq0uZtRI3lIKGzFvis9y3QhlQr0uIh2G4zpZ7w3ZAzmnAxIVCrwmpqHpfJS15cAacUQ00CTyBUUNBDSCvAyuasQmI8LTU7iulNc5TW8BFBIqt71aiDR6YQ5K90rdAAAwWqBMf0MglI6N3jUFC91hQzSWlbrJ03DYTQAogipRhuQ40kUSthKijzLojYnxhj2fvQb0nYeQ/ebL0Vk5/iaXxQA23/9G6ZyEy678pJ670OqVkARGQT9sWxoO8W02LopcQkxeOTpEbjt7pvw7ec/YfGcVfjqkx+w+OXZ6Nglpbmb16w4qRTykDBYC3KrPCcPCYNDXwpbSaGr1phcAeZ0ulZOk8mg69i96jRdQgjxoc3HlDabDQaDwesnECRyJaRaH/Mded41xLdSws5EEVY/y1ECgCU/ByKtDEHaoObqn+0dL3GtauGLOj4poNOjmOCEw+i7+KNgMUMUaDne5tLY/dNhKHPdIQ3Q0GyJQgkwBsHavMPqmcjw38e/4+yfh9D1xn6I7l63Ao5NxWqx4fsvf0GvPt0QEhbcoH2pkyPhKDXBmlfWOI1rQhGRYXh07EjMWjQRJcVluP/WJ/DFR9+3mJU5aqOx+ybHcVCERYDzce6Xh4R5lnxnguA6Lzvsrn87HBDttgYdmxDSfrT54GHZsmUIDg72/CQm+r7Ybmy8TAZtYgrU8cmQKJTgZTIowiIR3LlHlTuGjDGfhRndRLvN51JwhLR2zdU/2ztOIoE8JMy1xK9aC04qg1SrQ1CnbpAF6QJ6x5IJ1c8LZ86WNW+8PWnM/skYg92gh1StCdjfl3t5aafFFJDj+SKKIvZ++CvObD+IrjdcgtieKc3Wlgv98PVWWC02DLj2sgbvSx6mhVSnQtnBqgWuW6pOXVIxf9lUXHlNfyycuQKLZq2Ew946gs6m+OyUyBXQdewGZVSMZyqFKibeFRRWE8pQ8EAIqS2OtaaI9wIcx+Grr77C8OHD/W5js9lgs50/KRoMBiQmJkKv10OnC0wFZtHp8Cwj5Gu4J2MizLlZVVbBcJPpQqBJTA1IrQZCAqkl9M/2TnQ6wZhrKHpNtWSagmCzQn/isN/ng7v0hERJUySaQ2P2T6fFDMOpo1DFxEOq1jR2U/0yZaVDqtF6lo0NJMHhxD9bfkHmf6fQ7YZ+iOmZHPA2+JOTlYfnZ6zA5QMuwYBBlzfKPq35ZSjbn46Ym/pAFRPSKPsMlD9/34X33/oMfS/tjdUbF0MX3LSrrjRUU352MiaCVRQY5qQy17KZJ4/4vQEW1LEbZAGaPkUIad1aXY2HulIoFFAomrfuQE3F1ziOhzIsylVR2EcOpIqKpdCBtEktoX+2d81dYJGTyiAPCfO5EpC0okAuaR6N2T8d5XqA4yAJcJ0NiUIJpznwIx7sJit2bPwexWdy0POWy1tMTQcAcDoFvLnuAwSH6HD5gH6Ntl9FVDBkwWqU/HsGcbdc0mJrPfhyzeArEB0TibWr3sZDdz6Dde+8hPjEllco060pPzs5jvdaqYKXyqCMiPZZ/4FXKKm+AyGk1tr8VIvWgpfLEZTaxWvuKyeRupajbMI17wkhpDnxEgnUsQmQh4R7PS7TBbtGetHKE22C3VAGqUoDjgvsZYdEqYJos/pcwrqp6HOK8b8XP0JZRgEuuuuaFhU6AMDnH36LzLRs3DJ8CKSyxutfHMchqGss7MVGlJ+q+iW1pevSvSNmLZwAo9GEUcPH4sjB483dpBaB43kow6OgjIh2FSWuIFVrK4r/UvBACKmdVndFZzQacfr0ac+/z507h/379yMsLAxJSS2jYFN9cDwPmTYIuk7dKi6QGDiJDLxM1qruGhBCSF3xMjnU8UlQRceCCQI4iQScVNosUz9I4xMdDghmE5SR0QE/tkTpCu6dZiPkupAmP1767uP494P/QalTo++IwVCHtKwh6Nu27sDW/9uO628eiJj4xv/vIQ/VQhUfhpJ/z0IVFwaZtnXdOImJi8bsRZPw2sq38Mi9E7D0lbkYMnRgczer2bmWJY6HIjwKTHACPF+xWhCNSCOE1F6rG/Hw77//om/fvujbty8AYMqUKejbty/mz5/fzC1rHLxMDqlKDalKA4lcTqEDIaRd4CWupTqlao2rIC+FDm2GXV8KwHWHNNA4qQycVApHedOumGM3WbHr7R+xe/NPCO8Qh773t7zQYfuvf+O9tz/HJZddhL6X9m6y4wR1jQMvlaBg21GIQusrjK0LDsL0ec+gd98emPL0PLy24k0INRTBbQ84nodEoYBUrYFUqaLQgRBSZ63uym7QoEGtaskjQgghpD2zlRZBotKAa4ZaRRzHQarSwFGuB2Os0cN8xhgy/z2BfZ9uh2B3ottN/RHdPalF3TRwCgK++PB7/PLD7+jbvzeuu/HqJm0fL5MgpE8yiv85jcI/jiHq2u4+C2u3ZHK5HE9NGI2klHi8te59/Lt7P5asmo2EpLjmbhohhLRarS54IIQQQkjr4DSbIFjMUEY33xc2qUYLR7kegsXUaKMuGGMoPJWNQ1/vQPHZXER0jkfnQX2g0LasFVhOnjiLD97+HDmZeRh8w9Xod0WfgIQismA1Qvoko2x/OvJ/PYzIgd0hUbSuO+Qcx2HYHUPQqUsq3lr/Ie68YQwef+ZBPPTEfVCrW9Z/Z0IIaQ1a9XKa9WEwGBAcHEzL9RHSAlH/JKTlqmv/ZIyh/OxJiHYb1AnJzTYKgDEGU2YapGoNglI6NWhfDqsd2ftP4/T2gyg5lwdtVAg6XN0LYcmBr1/hj93uwIH/jmDb1h04fuQUYuKicMOwQYiJiwp4W2zF5Sg7kA5eKkFY/w7QpESB41vOaJDaslpt+Pbzn/DrT39AG6TB/Q8Nxx33Dm0xIyDos5MQ0hq0u+BBr9cjJCQEmZmZdHImpIkEBQXV60sG9U9Cml4g+icTRYilhWDlenAhEeCaeXUmZjGBGUrBh0WCCwqp1e/vtDtgLTPDXGxAeU4xSs7lo/RsHkSnAF18OKJ7pyA4KbLZAhVBEGExmVFWakBRQQlysvOQdiYTZ06lwWF3ICYuChdf2gsdu6SCb8apH6LVAfPpAjiLjeBVMigSwiCPDIIkWAWJSg5O0nqmYZQUleLXn/7EP3/vg81qQ4dOybjkst7o0r0jklITEB0TidCw4HqvFkKfnYS0XPXtn+S8dhc8ZGVlITExsbmbQUibVt+7LtQ/CWl6Td0/Jz06BvMmjvP8+1Raep2P1dg4AJ1SkgEAv+7YifuemeD1fIeIRCy7e0qt9mW2W1FmbtpilReSSuSQcLWvkcEq/d+WIkJb89/cq799hyJjYN/b+uA4HnJp7cO07JJTKDHWvMRoQUEBIiMj69we+uwkpOnRiKKGa3fBgyiKyMnJaVBqZTAYkJiYSMlyPdB7V3+t6b2rb/9qjP7ZWFrT+90Q7eX3BNrP71rT79kW+mdttYf/5m39d2zrvx9w/ncsKytDcHBwnV9fn77ZHt7X2qL34jx6L8678L1oTZ99LVW7Ky7J8zwSEhIaZV86na7dd8r6oveu/trye9eY/bOxtOX3u7L28nsC7ed3bezfsyX2z9pqD//N2/rv2NZ/PwD1/lLTkL7ZHt7X2qL34jx6L86j96LxtJ6JdYQQQgghhBBCCGl1KHgghBBCCCGEEEJIk6HgoR4UCgUWLFgAhULR3E1pdei9qz967wKrvbzf7eX3BNrP79pefs/aaA/vRVv/Hdv67wc0z+/YHt7X2qL34jx6L86j96LxtbvikoQQQgghhBBCCAkcGvFACCGEEEIIIYSQJkPBAyGEEEIIIYQQQpoMBQ+EEEIIIYQQQghpMhQ8EEIIIYQQQgghpMlQ8EAIIYQQQgghhJAmQ8EDIYQQQgghhBBCmgwFD4QQQgghhBBCCGkyFDwQQgghhBBCCCGkybS74IExBoPBAMZYczeFEHIB6p+EtFzUPwlpmahvEkJag3YXPJSXlyM4OBjl5eXN3RRCyAWofxLSclH/JKRlor5JCGkN2l3wQAghhBBCCCGEkMCh4IEQQgghhBBCCCFNhoIHQgghhBBCCCGENBkKHkiLVlpchqyMHIiiWK/XF+QXITszr9Hak5WRg6KC4kbbHyFtRVZGDjLTcxq0D4vFitzsfBjLTY3UKkJIS+f6XC3x+7y+zIDszFzY7XYUF5UiKyOHiigSQkgrRMEDabFKi8uw/pUtuHfoYzh57Eydw4eC/CLMeHYRnhg5GdmZuQ1uT/q5TIy+exwWzX6ZwgdCKsnKyMHEJ+Zg0pNz6h0+WCxW7P5rL4Ze/QD+99MfFD4Q0g6c/1xd6TN80JcZ8OXHP2D4kIeRlZ6Dl5esw4jbnsKZU2kUPhBCSCvTrMHDsmXLcOmllyIoKAhRUVEYPnw4Tpw4Ue1rtmzZAo7jvH6USmWAWkwCxR06fPzuVzAZzXjkvgl1Ch/cocPe3QeQlZGDJ0ZOaVD4kH4uE4/cNwFFBSXYtnUHhQ+EVHCHDqeOn8Wp42frFT64Q4dJT86FKIqYP+1FCh8IaeOqfq56hw/u0OHV5W9g1sIJWLvqbXz/5S/QlxnwyL0TKHwghJBWplmDh+3bt2PcuHHYtWsXtm7dCofDgRtvvBEmU/UXmzqdDrm5uZ6f9PT0ALWYBELl0MGtLuFD5dDBrSHhQ+WLIzcKHwjxDh3c6ho+XBg6uFH4QEjb5f9z1RU+VA4d5i+bih3b/8HW/9vu2ZbCB0IIaX2aNXj46aefMGbMGPTs2RN9+vTBli1bkJGRgb1791b7Oo7jEBMT4/mJjo4OUItJU/MVOrjVJnzwFTq41Sd88HVx5EbhA2nPfIUObrUNH/yFDm4UPhDS9tT8uboCGWlZWLvqbZ+hgxuFD4QQ0rq0qBoPer0eABAWFlbtdkajEcnJyUhMTMQdd9yBI0eO+N3WZrPBYDB4/ZCWqaS41G/o4FZd+FBd6OBWl/Chuosjt/Phg/9tiH/UP1un6kIHt5rCh5pCBzcKH5oP9U/S2Gr3ufo31q3ajHe/XIu//9jjM3Rwa6/hA/VNQkhr1GKCB1EUMWnSJAwYMAC9evXyu13Xrl3x9ttv45tvvsH7778PURRx1VVXISsry+f2y5YtQ3BwsOcnMTGxqX4F0lAMsFptNW4migyCIFS5yGCMwWF31vh6QRAgijVfoIiCCFGouaaEw+FsVxc8jYn6Z+skMganU6hxO1c/9d2HmMjgcDhq1XfsNjv1sWZA/ZM0ttp+rjqdTvAcB4fdUfM+xdrtsy1pzr7pMBlhzvV9zU0IIdXhWAu5mhs7dix+/PFH/PXXX0hISKj16xwOB7p3744RI0bghRdeqPK8zWaDzXb+y6zBYEBiYiL0ej10Ol2jtJ00npLiUrzy4hv4+tP/8/m8Sq3C25+8gm49O0MikVR5Pj+vEFOfXoCD+3yPgomNj8abH61GYnJ8rdpz7nQ6HrlvAkqKy3w+P2DQ5Vi0YgYio8JrtT/ijfpn65WRloVnH5uNc6d919jp0DkZa95ciqQU/+dzs9mCHdt2Y9ozz/sNFuYunYqht12PIJ2mUdpNao/6J2kKNX6uXnsZxk5+BI+PmIy5iyfjfz9ux7b//e1z2yCdFps/XYPO3TqA47gmbHXL0px9s/TIfjDBieAuPSFRqpr0WISQtqVFjHgYP348vv/+e/z+++91Ch0AQCaToW/fvjh9+rTP5xUKBXQ6ndcPaTqMMZSWlNX77mRYeCgmzXwSw+8bBgAYMnQg1r3zErRBmhpDBwCIjonEyxsW4qK+Pas8V9fQAQBSOyVj86drEBYeUuU5Ch0ajvpn0yguKoXZbGnQPmw2O0qKS/0+n5SSgNfeWorUTslVnqscOhQXlqDcYPS5D7VahQGDLsfKdc/7/NJAoUPzov5JalJcVAKT0Vyn16R2SsabH632/7m6ciaSUxPwyFMjsOC5lzBk6LUYNOSqKtu219ABaN6+yUTXaDentWGfMYSQ9qdZgwfGGMaPH4+vvvoKv/32G1JTU+u8D0EQcOjQIcTGxjZBC0ldMMZw+uQ5PHTnMw2ab+kOH55b8CyuHnwFXlvxJpa/Nh9bPltTbejgdj586OF5rD6hg5uv8IFCB9JS5ecWYuLjc7Dzjz31Dh9sNjv27j6Ap0ZNQ25Ovt/tfIUPlUOHwoJizJ32In767jcYy+sWPlDoQEjLVpBfhOnjFmLb/3bAbKp9+JCfV4ifv9+G1RsX+/1cDQ7RYeQjd+HJZ0f7DB/ac+jQnJgoABXXdqK95qmxhBBSWbMGD+PGjcP777+PDz/8EEFBQcjLy0NeXh4slvMXy6NHj8asWbM8/160aBF++eUXnD17Fv/99x9GjRqF9PR0PP74483xK5AK7tDhkXsnICMtu8HFnlRqFeITYrBo5kocO3wSr614E6FhITWGDm5KpQKzFk1Erz7dEBsfjeVr5kMbVP8vMJXDBwodSEuVn1uIKU/Pw8F9RzDl6fn1Ch/cocP4R2bgxNHTGPfwjFqHDxeGDvOnL8eObbvxwuyX8eO3tQ8fKHQgpGVzF3P+d9d+zJq4GL9vrV34kJ9XiE2vvYeNa97B3KnLPOGDr8/VyuHDC7NXYuKMp3DTrYMpdGhGosPh838TQkhtNGuNB38fGJs3b8aYMWMAAIMGDUJKSgq2bNkCAJg8eTK+/PJL5OXlITQ0FP369cPixYvRt2/fWh3TYDAgODiY5qg2osqhg0Ff7nk8OESHzZ+tQcfOKXW6OLBYrPhnx3+Y+MQcr2r33Xt2xqtvLUVMbFS1r9eXGfDZB99i0+vv48VX50KhVGD+tBfR/8qLMX3eeIRHhNb9l6yQkZYNlVpJoUMTof5Zf+7Q4dD+Y57HOI7Dqg2LcOXAS6FW1zwXt3LoULl4ZKcuqVj7znLExvlfujgjPRtgrEroUNm8pVMx9PbroA3S+tyH2WxBSVEpgkOCKXRogah/EsD/ClLLXp2LwTcMgFqj9vk6d+jw6fvfeB5LTI7Hi2vmITwiFHEJMT5fpy8zwFBWjqjYSBjLjTAZzUhMjqfQoZJA9U2HqRzlZ06Ak0gh1QYhKLljkx2LENL2tJjikoFCF06Ny1/o4FbX8MFf6OBWU/jgDh3WvLQJgGvkg0KpgL7MtdTUsOFDGhw+kKZD/bN+fIUObrUNH/yFDm61CR8A+A0d3GoKH0jLRf2T1LRstb/wwVfo4BYWHoIbhg7C4+NHITo2skna3dYFqm/a9aUwpp+BRKUGx/HQderWZMcihLQ9LaK4JGmdagodgLqtsV1T6AAAx46cwsTHZiMvt8DnsSqHDoBreU536AAA//f1/7DihddRXOS/aB4hrUl1oQPg6qc1TbuoKXQAgNMnz9U47aKm0AFAjdMuCCEtU02hAwCf0y6qCx0AoKS4DJ+8/zU2vvoO8nMLG73dpPEwwfX5wMtkEIWaly8nhJDKKHgg9WbQl+OjLV/6DR3c9GWGiu2q/6JhMVuwatkGv6GD27Ejp3Bg7xE4Hd4fejarDZs3fFRju3/5YRuKC0tq3I6Qlk4QBBw5dMJv6ODGGMPqZRtgtVh9Pm8ymvDq8o1+Qwe30yfP4Z+/98Fu9z23NysjBzv/2FNju9e/shk2G80PJqS1EEURZ06eqzZ0cFvz0iZYrecLD1otNnz3xc81vu77r35p8Go8pGmJghPgeXC8xBNCEEJIbVHwQOotOESHcVMfxU23Dq52u5tuG4xnJj+C4JCgarcLCw/F+ndeQkqHxGq3m7N4Mq4aeCmkMqnX45HREdjy2WsI0vkfwi2VSbH+3RVI6Vj9MQhpDSQSCS67si+eXz692u0Sk+Ox8f2XERbue4pRWHgoXt20FJ27dqh2P1PnjMXgGwZALpf5fL5bj85YvfEF8Lz/j5aIqDC8/ckamu5ESCvC8zz6XNITL66ZV+12MXFRFUtlhno9tuH9lVCplH5fp1QqsOG9lX7rPJCWgQlOcLwEnEQCRiMeCCF1RMEDaZDwiDDMXDjBb/hw022DMXPBBIRHhtVqf3EJMXjjg1VI7Zjk8/k5iydjyNCBPsMFjuPQqWuqV/jQ7/I+uPm26wC4Qod3Pn8dPXp3gVwuBwAY9EaUN+OQ77JSfbMdm7Qedrvd751AbZAGN94y2G/4kJgcjzc+eBnxif6XHC4rNSAmLgprtyz3hA+x8dF4dOxIzzZT54zFnfffAoVSjvw838OhVWolrri6v1f4cNcDt6B7ry4AzocONYWLhJCWR61RY9CQq7zCh/tHD0enLqngeR6TZj2FzZ+uQWJyPEzG81MtHHYHevTu6jd8cIcOPft0g0Ih9zxeeR9ujDEYy02N/Ju5mE0W2O32Jtl3W8EEAVzFiAcwBlbDCFVCCKmMggfSYP7Ch7qGDoBr1YhP3/8G6959qUr4MGfxZFw+4BJ8+8UvXnUbKqscPlxz3RUY8fBduLh/bwy/fxje+WItTEYT9vy9DxazFeV6I/75ey/+3bUfRmPgw4fc7HxsXPMOMtKyAn5s0nrY7XYc3HcUf/62E2ZT3cKH2oQOWRk5WLfqbeRk5XnCh6uuuRTzl02Dw+HEzIUTvUKH40dOY+v/bUeen7nYlcOH0Y/fh4SkOIydNAZXDuxPoQMhrVzl8OHJCaMRFhaCSbOewuo3XkBpsR6MAYUFRXhtxSYUFZQgMz0bb637ACajyWf4oFQqsP69FYiICoNUen657IJ81z4q13xw15X6/MPv/F4D1JfZbMGO7buxf+8RCh+q4Q4eUBEsM5GmWxBCak9a8yaE1MwdPgDAz9//Xu/Q4bEHJiI/txBlpXqse/clPDP6OZw7k+EJHUYNfwYGfTmsZitGPnIXgkOqVm/mOA7JHRIw5skHMPbh52C32bH45VngOeCZh5+DIIhYtWERgkN1mPbM866q/xsX4dIrL4ZWG5hK+7nZ+Xhxwav4fesO/PX7bqzdshxJKQkBOTZpPdyhw1OjpsHpcGL5a/Mx8LorodZUXZ3CHT4AwPMzVtQ6dJj81DycOHoaZ06l4YWVMxGXEIMZzz+LJx+civy8Qtz1wC14ZvKjntDhqVFTYTZZ4HQ4cfPt1yPGRxV6lVqJPv16IiM9Gy8vXge1RoVNH6xCYnJc4705hJBmodaocflVlyD9XBY2vvoOXlg5E39t240fv/0Vv/70BxaumIG9ew5hyLkMzJ60BHk5BSgpLsPEGU94woenR00DYwzr312B77/8BT9++yve/uRVdO3RCcVFpZg1cTH27NyH/XuP4NVNSxAVE+FVzNpqtWLEw76vAerKbLZgx7bdmPbM85BIJdjw3kpc3K+nZ2QkOY+JYkWNh4rgQRAAqe+pd4QQciFaTpM0quKiEmz9YTtuGHZtvUMHt3tG3obHxj2IA3uPoEfvLp7QwW3spEd8hg8OuwOHDhzDkw9Ohd12/s7FjAXP4tiRU/j285/AcRzmLZ2KXX/txS8//A6JRBKw8KFy6OCWnJpA4QOof1ZWOXRwVBRz5Diu2vABAIzlJuzYthu9Lu5e69DB7bIr+2LB8ufw1KipyMrI8Tz+7PQncPmAS/Dkg1O8Rl1MmT3WZ/hgMJTj+y9/wYsL1ngeU2tUePuTNejaoyMkEglI60P9kwDnV5B6feVbWLB8Ov749W/8+tOfnuf79OuFeUunYPwjM5GXc34FqjvvvwUTZzwBjVaDowdPQBRFfP/VL/jio+8BAKFhwXj3y7VYNOtl7Nm5z/O6Hr274qXX5+OxByYjv9KKVs9MeaTB4UPl0MF9OSyVSVtd+BCovmk4cxzgOMiDQ2HOzoCuU3dI1ZomOx4hpG2hqRakUYVHhOHukbc2OHQAgM8//A5vrf0AF/XtgYfuHFdl9Yz1r2zGh5u/9Bpy6S90AIDlC19D956dcfs9N4Mxhhdmv4wrru6HG28ZDEEQMOWp+dizs2mnXfgKHQAg/VwWxo2ZQdMuCADfoQPgGmo849lF+KOGaReDb7qmzqEDAPyzcx8WPLcck2Y+BXnFXOsevbuic9fUKqEDAKxauh4/ffur17QLX6ED4Jo//ej9E3Di6BkIVA2dkFapptAhOiYST098uEroAABfffIDXl2+CWWlepQbjPji4+89oYNCIce8pVOxYPpLXqEDABw9dALTxz2PuYsnewWu61ZtxkfvfFnvaRe+QgcAcDqcePqhaTTtwgcmCOC4SiMeaKoFIaQOKHggjU4mq/2wO3+hg9vnH36Htavexripj4LjuCrPVw4fqgsd3JozfPAXOrhR+EAA/6GDW23CB3+rTgD+Qwe3f3ftx8fvfoWlq+egzyU98fTEhzFz4gt+j1U5fPAXOrhR+EBI61Wb0OH5l57DwpkrqoQObl998gPWvLQJeTkF+OGrrQBcocOyV+fi/bc+x397Dvp83bHDp7Bu9dtYvmZ+o4QP/kIHNwoffHNPtQDHn/83IYTUEgUPpNmUFpfh2cdm+Q0d3H74aiuMBhPuvH+Yz+fXv7IZ//1zEPoyA56qJnRwW77wNdx+z83o0DnZEz6MfvxexCXEeMKHspLGLVxVri/HJ+997Td0cEs/l4XZk5agsKCoUY9PWg99qcFv6ODmDh9ysvLqtO/CgmIsW/Cq39DB7d9d+/HXtt1Y/tp8zJmy1G/o4LZq6XoUFRTjxNEzfkMHN7PJgidGToZB33yryRBC6kYURez79zDWvLQJI8fchcy0bK/QAQCWrJ6Nlxev8xs6uH33xc8oLS3D3SNuBQCMn/YYfv9lh9/Qwe3Y4VP44qPv8Nz88V6Pr1u1Gf/u2l+nMDMvO99v6ODmDh8a+3qgNWOie1WLSjUeCCGklih4IM1GFxKEZa/M9TtX3e2SSy9CSsdEz92RC91022BcdEkPqDUqLFwxo8bjjhhzFw7sPYyzp9IBAI+OHYnft+7wfImbPOspKKtZb7w+goKDcM/I29CtZ+dqtwsO0WHukimIjIpo1OOT1kOlUeP5F30vjVnZ05PGIDI6vE77jowKx5TZYxEVXf3fV0qHRNx4yyCsXfU2ps8b71ka05877h2KsIgQdOycgntG3lbttjzP48VX50Gtbtw+RghpOjzP46KLu+OWO2/AFx//gN4Xd0fPi7p5bbNy8TpMnPEkNFp1tfvqe2lvdOySiu+//AUAsHnDRxh2x/VISomv9nXRsZG4f/SdWP/KFq/Hb7ptMC7u16tOtWPCI8MwbuqjNW43f9m0Gq9R2hMmiq7RpxUjUGnEAyGkLih4IM1GIpGga4+OePuTNX4/2C+9si8WLJ+G+dOXw2azQ6VSokv3jp7nb7ptMGY+PwHhEWE+1xi/0IgxdyEiMgyvrXgTAPDYMw8CAN5a9wEAYNrcZzBs+A2IqEONitpKSIrDqg2L/IYPwSE6bPpwVY3hBGnbtFo1Bt90DZasmu13m7GTH8HIMfUrqtaxcwo2fvCy3/AhpUMinlvwLGZPWoLvvvgZ2/63A88vf85v+HDHvUMxdvIYxMXHICw8BOOnPe43fOB5Hq+9tQyXXdUXCqWizm0nhDSfsIhQTJ87DtfddDVmTlyMJ599yCt8OH7kFNauehsvvjrPb/jQ7/I+WPbqXBw/fAohYcEAgJLiMsyZshSzFk70Gz5Ex0bi+eXP4fkZL3mNkqzPClqA6/P2/oeGY/y0x/xus2jlTAy5eSC0QVQ8EXCNtIN7VQuOA3ieajwQQuqEggfSrKoLHy69qi+WvToX8YmxWPPWUgQFB2HZq3Mx4TlXhf2bbhuMyTOfRkFeEZxOJwBUGz40Z+jg5i98oNCBVFZd+FBT6GC323Fo/zEU5vufruMvfEjpkIhX31yCRbNeRlmpHgDw289/Iis9G6vfWFwlfKgcOrj5Cx+aInQoyC/Cof3HaA42IQFSm/Bh84YPseHdlVXCh36X98Hy1+YjLj4Gtwwfgpdem+8pgltSXIa5017E6jcWVwkfomMjse6dl7B47qpGCR0K84txcN9RKJQKv+EDhQ4+MNfoBq6ivgPH8TTVghBSJxQ8kGbnK3y49Kq+WPbKXERFR0Aul+Oivj3w/lfr8Pb6DzH5qXkYOeZuTJ09FlOfno+H7x6PowdPVBs+PDF+FG6+dbAndJg440lcctlFAQ0d3C4MHyh0IL74Ch9qEzrs23MID989DjMmvFCn8CGlQyJef/tFJKUk4JU3XoBK7eqLl1/dD/ePHo6L+/XEy+sXesIHX6GD24XhQ1OFDjOeXYSH7xmPff8epvCBkACpEj5MGI3eF3cHAATptHhywmi8s+ljrHh9gSd8cIcOUdERSD+XicdHTMbkp+dj2StzEJ8YC57nMXfxZLzzxidYtHKWJ3yIjo3EWx+/iuTUBCxaMRNSmRRAw0KHOVOW4uG7x+O/fw74DB8odPDNM62i4jOA4znXCAhCCKkljlVXWacNonXIWy5BEHDi6Bmsf2Uz5i2d6nU3tiCvCNPGLcD+fw8DAGRyGZavmYdP3vsau3f8B6VSgTc/Wo0eF3WFVOq6MDGbzNj2v79x9lQaRj12H6RSHj9//zv0ZeW4e8StsNsd+OazHyGXywIWOgCAsdyEHdt3o1OXDnjx+TWYNOsp/LdrP26560aEhYcGpA0tFfXPqoxGM37/+U9kZebWKnQYO3o6nE7XXaj+V1yM5WvmIdLHtIqyEj3+79v/of/lF2P5wtcwa9FEHNp3DNfffA00WjVOHD2NjWvexdzFkz2vLy0pw3//HMSfv+/CkxNG+wwdKispLsO61W/j2uuuapLQYe/uAwAAqUyK9e+uQN/+vSCXyxvlGKQq6p+kspKiUqx+cSNuv+dmJCbHYeGMlZgy+2log9SYO/VFLFk1G6Wleqx9+S3MXzbNEzo8et9EFBYUA3DVWli9YRFMJgs+++Bb/PbznwgLD8GqjYux9uW3sODF6Z4Qwm6348B/R/HVJz9g6uyx9Q4ddv31LwDXTY+1W17EJZf1gc1qwyfvfY2omMhWGToEom8Kdhv0xw9BFRMPqVoDU1Y6ZFodNAnJTXI8QkjbQ8EDaVEEQYBBX47QsBDPYwV5RZg+bgH2VYQObjK5DEtWzcYXH33nN3wwmcxw2B0ICXXNJTUajBBE0fPlrbCgGBwHRETWrUhffRnLTfj15z8xb+oyREZHYMN7K7Bq6Qbs2LYbw+8dikmznmrX4QP1T9+MRjOcjvN/xxfyFTq4+Qofykr0eHPdB3h30yfo068nnn/xOUx6cg7Sz2Vh2txxGH7fUGi06ip9EQDKSg0wmy2Ii4+uVdtLS8qgVquaLHRwo/Ch6VH/JBcqLSmDRquGXC5HaYkeIaE6cByHslI9QkKDIYoi9GUGhIaFVAkd3MIjw7By7fOYO3UZsjNzAbhGTS1/bQE6d+uAsPAQz7Z2ux0mo7nKeakmF4YObheGDxKJpNWFDkBg+qbTaoHh5BGo4xIhUapgzsmERKmGNim1SY5HCGl7KHggLZq/0MGtNuFDS1E5dPCnvYcP1D/rrrrQwa1y+FA5dPDHHT7ogoOaqtn14i90cKPwoWlR/yT15S90cAuPDMPilTOxeO5qT/gAAINuGID5y6Y1aESiv9DBrXL4oGylRW8DEjyYjTCcPg51fDIkCgXMuVngZXIEpXRqkuMRQtoeqvFAWqyiwpJqQwcAcNgdmDNlKe4ffSd6X9wdVqsNj4+YjBNHTle7Pnegmc0WbPvf39WGDgDw9Wc/4pUX30BJcVlgGkZaNafTiYP7jlYbOgDAv7v2Y8aEF5CXW4DNb3xcbegAACsXr8V3X/yMcoOxsZtcb0WFJdWGDgDgdDgxdvR0HNx31FPzhRDSvLIycqoNHQCguLAEc6e9iOeXT0do2PmRXdu27sCiWStRXFRSr2MXFZZUGzoArpGW48bMxIG9h+F00HnDH3eNB453LaXJcTwtp0kIqRMKHkiLJZNJccXVl9a4XWRUOFQqJXJz8gEAMXFRCA0PcS331EIolQp07ppa4xBOjuNw9aDLoVS1zrsuJLCkUimiYiIREVXzVKEB114GmUyGy67sW+N690qlAr0u7g6VWtlYTW0wmUyKAddeVuN2EZFhiI6JbHEjnghpr5RKBbr1rPmueIdOySgrNcBoNHs9fs3gK6BQ1G8Ek1wuw4BBNZ83wiNCERsX7SleSaryhAwVq1qAiksSQuqIggfSYgWH6DDykbswdtIjfreJS4jBvKVTMX/aiygqKEFKh0RseG8l4hKqL3oXaDzPo3O3Dtj86Rq/4QPHcVix9nlcPfhyqNUqn9sQcqGk5Hi8+fEriImL8rvNxBlP4p6RtyM8IhT9Lu+D1ze/6BU+KJXySv9bgU0frUbPFjZdKThEh3sfvB0TnnvC7zYxcVF46+NXkJgc73cbQkhgRUSFY+FLM3DN4Mv9bnPplX1x36g7MHvyEjjsDs/j85ZOxdDbr4M2SFuvY+uCg3DnfcMwde4zfreJio7A25+8iqTUhHodo93wOeKBltMkhNQeBQ+kRasufKgcOhQWFPsMHYqLSlFQaUnBooISr38XFhSjqJrhnwV5RSgpKm2U34XjOETFuC5wLgwfKHQgDVFd+OAOHYJDXPUalEqFV/jw1MSH8eNfn+Cekbd5hQ4Ws61Ow5sLC4qrHUrdGKoLHyh0IKTlMZabUFxUgoiocMxdOhVX+wgfrrymP6bNfaZK6DB3yRTcMGxQvUMHN11wEG676yZMmTO2ynMUOtRe1REPNNWCEFI3FDyQFs8dPjw98WHPY3EJMXh5/cIaQ4eVi9di8lPzkJ9biKLCErww52XMmrgYBflFKMwvwtwpS/H8jBU+w4f83AI8+9gsvLL8jQaHD4wxnD2VhjuuG42c7Hyv8IFCB9IYfIUPE557wit0cHOHDx//8AZ69O6CWwc9iGF3DMHHP2zyhA4/fvcr7r7pUZw7nV7jsQsLijF/+nLMn768WcIHCh0IaXmM5SZs/b9tuOuGMTh14ix+/PZ/uP+h4bh60Pnw4cpr+uPBR+/Bd1/8ghkLnvU8PnvRJKSfzcTxI6dgs9kb1A6rxYZD+4/CVG7C5FlPeR6n0KFuGKsY8cBxnv/vfowQQmqDggfSavTp1xOjHrsXcQkxWPjScwgJ0eGeB2+vNnT44autOLTvKKaMnYe0MxnY9ddeHPjvCE6fOIs5U5Zh55//4o/fdlYJH/JzCzDh8Tk4dvgkvv70/xoUPrhDhzH3TkBZqR6TnpjjCR+CdFoKHUijkUp4vLByJmLiovDI0yPQvVcXv9vaLFbkZhdgylPzYTKa8czDz6G0pAzl+nL8+N2vWDz7ZZQUleKR+ydWGz64Q4cd23Zjx7bdAQ8fKHQgpOVxhw4LnnsJpSV6PP7AJHTp1gk8z2HUY/fi8gH9cOmVffHwk/fDarXhk/e/xpmTaZi7ZApmL5qEtHOZeO+tz/DMw9Oxb8+heocPVosNu//ei4mPz8HGNe/CaDRj8qynKHSoByaKAF/pawPPU40HQkid0HKapMXTlxnw4ZYvsX71Zjwz+RFcfnU/TBu7AHKFDBvfexlqrQoRkeeL61UOHSrreVE3PD1xNOx2Jz5650v8u2u/1/MDr7sSzy+fDkEQPKFDZcPvG4ZJM55EWETtl7qsHDroywxez72yaQn6XNITKrWSQocK1D/rLzM9G489MAlMZHh5/UJs/20nNr32HibNfAp3j7jNa9SDvlSPfXuPYPKTcyEI5+fojnrsXiQmxWHZgle99h0WEYrNn7yK1E7JXo9XDh0qGzDocixaMQORtSh62RD6MgPsdkeTH4e4UP8ktVE5dKgsNCwYK9YtxLL5r+DJZ0eD53nMnrwEffv3wr0Puuo73DPyNlwz+Ao88/BzntdJpRKse2cF+l7au05FJiuHDmKlL8iPjx+Fe0fejqiYiBoL7bYWgeiblvwcWIvyoU3uCACw60thKylCWO9+TXI8QkjbQ8EDadEqhw5uUqnEs3RgfGIMNn24GglJcQD8hw4AIFfIsXrjC3h306fYvWOvz+Ndc90VuG/UHZj81Dyfy2rVJXyoLnRwW7xqNq6/6RpotOoa99ceUP+sH3fokJdTAMC7jwDwCh/8hQ4PPHwnoqIisGbFJp/HuDB88Bc6uAUqfCCBQ/2T1MRf6OAWGhaMJavn4KVFryPjXJYnELjsqr6e8OGW4TegS7cOeGnR657X1TV88Bc6uGl1Wrz54Sp07dGpTYQPgeib5tws2EqLoU1KBQDYDXrYivIR2rtfi1pFjBDSctFUC9Ji+QodAHh9ocrOzMMTIycjKyMHJcVlfkMHmVyGJatmY/OGj/yGDgDw52+78OHmL7Dk5dk+l9XyTLsorn7aRW1CBwCYO2Up/vfTHzBdsHwYIbV1YegAePcRAHjlxY344qPvUJBfWK/QAYDXtIvi4tJqQwcAAZt2QQhpGWoKHQCgtESPOZOXYMb88UhMjvM8/s/f+/DZB99g6eo5+OHrrTh5/Cyemz/e87zTKdR62kVNoQMAGA1GPHLfRJw4etrrXEj8Y0z0rGgBnF/dgqZbEEJqi4IH0mI5HE7s+nNPjdsV5Luq6TudThzYe8TnNkFBGoSGBePcmYwa93f6xDmER4ZCo/E9CmHfnoNw2KuOhqjMbrMj7WwmDPryGo/352+7YLXaatyOkAs5nU7k5xVWuzKL21/bdsPpFLF7x94qF9oX9e2Bf3fvr3EfZSV6ZGXkwma14cTRUzVuf+LoKdjob5uQdsFus+OP33bVuF1ZqQH5+UVITk30evzMqXSEhOoQFKTBkQPH0bFLqtdoBKdTwJ6d+2C1WKvdv8Vixc4//vUbOni2M1tw9NBJWCx0jqoVUTy/ogXg+d9UYJIQUlsUPJAWKyIyDCvWPo++/Xv53UYml2Hj+yvR86KuiIqOwKYPV3mmXVRWUlyG52eswNLVcxAeGeZ3f5FR4Vi8ajbmT1/uc6RCcmoCNr7/MqJjI6ttu0KpwFUDL8WKtQuqHYJ44y2DMWvRBITXoW4EIW5SqRQX9e2Bde+sgFTqf7hw/ysuxotr5iEuPhqjH78PD4y+0+v5+dOX4457huKqgZf63QfP83jljcXof+XFiIuPweZP1iAiyn9fiogKw9ufrPHZHwkhbU9YRCjmLp6M628e6HcbjuMwZ/Fk7Koo7OwWHhmGxStn4vkZKxAeEYZJs57CtGcWeIWkj44diYceuxfBIdVPJQgNC8aTE0ZXOc9daM7iybjp1sHQ0lTHWmEi87qecf9vWlKTEFJbFDyQOisr1Xv9u7RE72fLhouKifQbPsjkMrz75VokJMVBLnfN+YxPjPUbPujLDJBKJVi+Zp7P8CEyKhxvf7oGUdHhPkcquEOHyqtnVEelVuGawVf4DR9uu/tmPDd/PMIj/H95a8r3lrQ8drsdpSVldXqNXC7HJZf19hs+uEOHqOgIAEBsfDQeeXqE56I8Nj4aS1bNxorFr+OOe4bimsGXV9mHO3S4/Op+4DkOpSVlSO6Q6Dd8cIcOKR0SqzzXmJwOJ0qLy5r0GIQQwGK2oqzi86is1ABjuQkAUFpSBrvdXvG/9dWGDxzHYd7SKfh313789N1vnsfdocPiuauhVqswadZTmDnhBZQbjJ5tHh07EmOefAAhYcE1trW0pAy6YC2enjTGZ/hwcf9e+OCbDRh2xxAE6bR1eyPaMcZEoPK1jHuFCwoeCCG1RMEDqZO8nAI8N36RZ3m9nKw8TB+3ABlpWU12TF/hgzt0KC4swdqX30Ze7vn57b7ChyCdFiteX4Bl81/F8zNWYNkFIx/coUNyagJSOyXj7U9ehTZI43m+rqGDm7/w4ba7b8YzU8Zg/vQXceZkms/X5mTlYvq4BchMz67TMUnrZLfbcXDfUaxc7Pq7rgt/4cOFoYObO3x48tnRmL9sGr746Du8sGImiotKMWfxFAwacpVn2wtDh3927sP61VtQWuw7fAhk6HBo/zG8uPC1Or9fhJDas5it2PnnHry1/gMU5BXhi4++w/9+3I6CvCK8smwjDv53FHm5BZgzeQlOnzjnM3xwhQ5T0aV7J+zdfcDzuFfooFFhzVtLkXEuq96hQ1FBCZbNexVHDp7wGT5c3L8Xxk99DO+88QlNA6srUaQRD4SQhmHNaOnSpax///5Mq9WyyMhIdscdd7Djx4/X+LpPP/2Ude3alSkUCtarVy/2ww8/1PqYer2eAWB6vb4hTW+XcrPz2d03PcJ6Jw1k1/a9nZ08foY9+eAU1jtpIBty2d0s/Vxmkx4/P7eAjb7rGXZJp+vZ4YPH2fZf/2YXpw5mvZMGslkTX2C5Ofle22dl5LChVz/Aruo1jJ08dpplZ+ayIZffza7teztLP5fFzp1OZ4P6DWfX9b+TpZ31brsgCOzY4ZPsyp5D2a3XjmTZmbkNarvZZGY/f/8buyj5WjZ78lKWlZnD7r/lCdY7aSC7ps9t7PSJc17bZ2fmsGHXjGC9kwayG664h2WkZTXo+K1Fe+2fNpuN7dm1j13S6XrWO2kgmz7+eVZUUFzn/eTlFLBffvid9e0wmI2+axw7eyqNWc1Wv9ufOZXGrr/0LtY7aSC7bdCDnr+zwoIi9uyjM1mflEHs91/+YmazhVktVvbHbzs9fe6F2S+zkqJSxhhjaWcy2OD+w9ng/sPZuTMZ9XoP6sJhd7D//jnI+nUewnonDWSTn5pXr/eL1E177Z/tmdlkYb/+9Ae7KPla1jtpIFsybzXbsvEj1jtpIHv/7c/YsgWvst+3/sUevONp1jtpYMXn7RkmiiIrKihmk56cyy5Kvpb9/P1v7OUl69jtg0exk8fOsOv638kG9RvOThw9zYZfP5rddeMYlpvt+gwvK9Wzt9d/yHonDWSrl21gpcVltWprYX4xe/axWax30kB2aZcb2P69h5nD4WDFRaVsydzV7KG7nmG7d+xll3a5gfVOGsjGPzKTFeYXNeXbFzCB6Jv608eZ/vRxZi/XM3u5nlmKC1jxgT3MbjQ02TEJIW1Lsy6nefPNN+OBBx7ApZdeCqfTidmzZ+Pw4cM4evQoNBqNz9f8/fffGDhwIJYtW4Zbb70VH374IZYvX47//vsPvXr5rwXgRsuB1U9eTgHGPzoTJ4+d8TwWFh6CJatmY9mCV5GRlo3omEi89ckrSEpJaLJ2FOQVoqysHHk5+Zj4+Byv+Z+33nkDJsx4EjGxUZ7HsjNzYTZb0KlLKjiOQ0ZaNpxOJzpULAmYdiYDHM8jObVqm0VRxOkT56AN0tR5pIMvFrMFpyoKV059egGOHjrheS4kNBibP12Djl1SkJOViydGTvUa6RATF4W3Pn4FicnxDW5HS9Ye+6d7pMNTo6bBYXd4Hr/59uswY/6z1dYkqSw3Ox9L578Cp8OJBx6+Ew6HEwueewmrN76APhf3gEKl8No+41wWHr1/IgryizyPpXRIxMb3X0ZsfDSKCouRnZmHLt07ekY6THhstlefu2/UHRg35VGEhocg/WwmWMU+mpJ7pMMTD06BvVJ1+yFDr8WcFybV+v0iddce+2d75h7pMPmpeah8qXj3A7cipWMi1q3egs2frsGSuatwaP8xz/NBOi22fPYaOnVNRUlRKTIzctCle0cY9OUoLS5D524dkJ2ZC8YYEpLicOrEOYSGBiMm7vxnt77MgNMnzqFj55Raj3RYNHsltm3d4XlMqVRg00er0fOirijXG3H2TDrGPjTdq5jztddfhQUvTkNEK1/2NxB9U3/6GDheAlWU63pIdDhgyjyHoNTOkAXV/N+IEEKaNXi4UGFhIaKiorB9+3YMHOi7ONH9998Pk8mE77//3vPYFVdcgYsvvhgbNmyo8Rh04VR3vkIHt0CHD8ZyI/7bc6hK6ODmK3xoSfJzCzHxiTleoYNbasdkvPrmEowbM8Pn9Ir2ED60t/7pL3Rwq2344A4dtv/vbwBAt56dkXYmA1arDXKFHOveeckrfPAVOrhVDh8AwGa1+Qwd3CqHD03NX+jgRuFD02pv/bM98xc6uD0w+k4Mv38YFs9+GYcPHK/yfOXwoboCy43BV+jg5g4flColHho+1ucKUm0hfAhI8HDyCHi5HMoI12eDKDhhSj8LbXInyINDmuSYhJC2pUXVeNDrXYWLwsL8XzTu3LkTQ4YM8Xrspptuws6dO31ub7PZYDAYvH5I7VUXOgCu1SLmTFmKWQsnIiklHvl5hXjs/klNUvPBWG7E3t0H/YYOAPD9V1uxZvkbXjUfWorqQoewiFA8t2C839ABcP23eOyBSW2q5kN77p81hQ4A8NO3v2H5ouprGFwYOgDA8SOnPBfYdpsdzzz8HA7sPwqb1VZt6AAAaWcz8dSoqcjNzq8xdACAT9//BmtXvd3kRR5rCh0A4H8/bseSea9QzYdG0p77Z3tWU+igUqtw1cBLsWTOKp+hAwCUG4wYc++zOH3inM99NJbqQgcAsFpteGLEZGSlZ6N7ry4+t9n+699YOHNlrZYlbimao2+yC5bT5Gg5TUJIHbWY4EEURUyaNAkDBgyodspEXl4eoqOjvR6Ljo5GXl6ez+2XLVuG4OBgz09iYtMOA25LzCYz3n/7c7+hg1tJcRneWv8hJjz3JAAgP68QKxatRVlp434Q2u0OzJmy1O8XILfvv9qKU8fP1riGdyBZzBZ8+sE3PkMHwFU86/uvfqkxVMjLKcCqpRt8LvXZGrXn/mk2WjB93EK/oYPbT9/+hv17D/v8u3c4HPh3136v0MEXu82OOZOXQK8vx4oX1voNHdzSzmZi0+vvwVhuwswJL9TY5z59/xucPpVW7TYNVV5uwnPjF/oNHdz+9+N2/LNzX41tJjVrz/2zPbNYLJg1aYnfwODuB27BwX1HvaZX+FJuMGLu1GVVVsJqLE6ngL///Mdv6OBmtdrw0qLXMX3+eL/bbP/1b+zY/g+cTmdjN7NJNEvfZN7FJT0rXLSgay1CSMvWYoKHcePG4fDhw/j4448bdb+zZs2CXq/3/GRmZjbq/tsytUaNMU8+4FXh3pcOnZPx6NiReGH2ywCA7r26YM6SyQgJbdzhfrrgIKx/dwU0Nay5/ez0x9GtZ2fwfIv584ZKrcKIh+/CkGHX+nz+9RVv4vqbB+JiH8uGVtb74u6Y+fyEGtcxby3ac/8MDtXhjQ9ehi44qNrtnpnyCPpfcTEkkqpLZcpkMlw+4BI89Pi91e4jNCwYazcvR1R0BOYsmYzuPTtXu/0VV/fH2MmPICQsGJs+XAWVWlXt9jMXTkDXHh2r3aahQsOCseH9lQgJrX4u8ePjRuHKa/r7fL9I3bTn/tme6YKDsOmDl6FUKnw+/+GWL5GYEo8bbxlU7X4SkuKwasMihIaFNH4jAUilEgwcfCUefvL+arcLCw/B88unY8azi/xuM/qJ+zHw+qsglUobu5lNojn6JhOZ13KatKoFIaSuWsQ3s/Hjx+P777/H77//joSE6msDxMTEID8/3+ux/Px8xMT4Lv6nUCig0+m8fkjtRUSFYf6y6X7Dhw6dkzFt7jjMmrgY+jIDel7UDWs3L2/UGgv2ijvCUqkU3Xt1xqYPV/kNH56d/jiG3zcMkc00V9Nezd3riMgwzF40yWf4YLXasGH1Zix7ZS76Xd7H5+t7X9wdqza8gOjYyEZrb3Nrz/2T4zh06pKKzZ+t8YQPkVHhXn3tmSmPYMTDd/kNmozlRoRHhuHhJ+73Ch+uu+kahEWEAnB9Yd/04Wp06e4KBmJio/DqW0v9hg9XXN0fS1bPRmRUOCQSCbr26ITNn77qN3yYuXACbr3rRuh01QcojaFj5xRs/myN3/Dh8XGjMPqJ+2oMJ0jttOf+2Z5JpVL0uKgr3vxotc/wodfF3cHAcO+Dt2PIUN9hekJSHDZ9uArxibGN3r7Kn7MhYcF4bOyDfsOHsPAQbP50DRKS4mAymX1uM/qJ+/HYMw8itBZFLFuK5uibjIme6RUePE9TLQghtVav4CEjIwN//vknfv75Z/z333+w2eq3FjJjDOPHj8dXX32F3377DampqTW+5sorr8Svv/7q9djWrVtx5ZVX1qsNpGb+wgdfocPKdc/jp+9/Q15O49RYyM3Ox68//eFZ0zsvpwAGvdFn+NDcoYOx3Ijff/kT2Zm5frfxFz4kpyZgzVvLEJ8Yi+Wvza8SPrTF0IF4hw+pnZKxaOVMDLphAIbfN6zG0MFgKMeB/47i5PGzXuHDvQ/ejgHXXoYlq2ajQ6dkr9DBzV/4UDl0cKsufAhk6ODmL3yg0IGQxuMvfOh/xcV4ZtIYJCbG4b9/DuLJZx/Czbdd5/Va90iHmkZK1UdWRg7++HUnTMbzIYK/8MEdOqR2SkZicjw2f/KqJ5B1a42hQ7MRRYD3LhTKcRxNtSCE1F5t1908d+4ce+6551hSUhLjeZ5xHOf5USgUbMiQIezTTz9lgiDUei3PsWPHsuDgYLZt2zaWm5vr+TGbzZ5tHnroITZz5kzPv3fs2MGkUilbuXIlO3bsGFuwYAGTyWTs0KFDtTomrUNef4X5xezZR2ey3kkD2fDrR7OMtGw24YnZrHfSQPbArU+yrIwcNunJOax30kA26cm5njW56ysnK4/dNuhB1jtpIPvkva9ZVkY2u3nAfax30kD2+9a/2KH9R9kVPW5mvZMGsjdee5cVNON63OWGcvbFR9+x3kkD2S0DR7CsjJxqty8sKGaTn57HeicNZLdeO5JlZ+Z6PZ+fV8jG3Pss6500kI28/SmWl1PQlM1vMdpr/xRFkZ09lcZuusr19/3ZB9+ywoJiv9vr9Qb25287Wd8Og9mA3rewo4dPMqfTyXKz89kHb3/OeicNZMOuGcHOnU6v9ri5OfnsvqGPsd5JA9kTI6dU24ecTic7cvA4u6zbTax30kD2webPmV7ffOu3nz55jl3T5zbWO2kge3X5G6y0pKzZ2tJetNf+2Z45HA52YO9hdmmXG9gj901gf2//h/XrPIRd0eNmtm/PQXbfLY+z//t6K5s+/nnWO2kgG3r1A+y/PYfYoH7D2ayJi1lRYUmjtSUzPdtzjvzuy5+Zsdzk9XxpcRlbuXgt6500kF3b93Z29lRalX2cPZXGrr3kDtY7aSBb8cJaVlLcNs4bTd03RVFkxQf2MFNOBrOX6z0/JUf2M1NOZpMckxDS9tRqOc0JEybgnXfewU033YTbbrsNl112GeLi4qBSqVBSUoLDhw/jzz//xMcffwyJRILNmzfj0ksvrTH08LfE0ubNmzFmzBgAwKBBg5CSkoItW7Z4nv/ss88wd+5cpKWloXPnznjppZcwbNiwmlMW0HJgDVVUUIK3N3yIhx67F7Hx0SgsKMbmDR/iwUfuwcrFa/HrT396tr3+5oGYseBZr7W5ays3Ox9PjZqKtLPn5y1OnPEECvKL8dGWLwEAa95aiojIcPz3zwEMvWNIs450+OWHbXh+xgrPY0kp8dj4/svVDjMtKizB5g0f4cFH7kZcQtWpQgX5RXh73Qd45OmR7WakQ3vtn1kZOXh8xGTkZJ0vkrv0lTkYfMPVVUb2GAzlOLj3CCY8PhtOp6uAoi44CG9+tBqZ6dmYOnaBZ9vE5Hhs+vBlxCX4/zvMyy3AOxs/xqPPPFhjHxIEASeOnsaRA8dx0+3XBXSkgy9nTqVh2y87cPfIW2mkQwC01/7Z3jmdTpw9lY7iolI8+9gsT4FXjVaNF9fMw7rVmzHmiftx9PBJ3DDsWkx8Yq5nZZlb77wRU+c+g/ALRhrUVW3PkWUlenz6wTe4Yei1SO2U7HNf506n45f/24b7Rg1vMyMdmrpvMkFA6ZF9UEbFQKY9v39TVhpkuhBo4pIa/ZiEkLanVsHDrFmzMG3aNISH1/zF7qeffoLZbMZdd93VKA1sbHTh1HAmo9nrgz43Ox8vLXrNK3Rwq0/44Ct0cHt2+uMoKizxCh969u6KyOiIevwmDecrdHCrTfhw4XtZ1+fbmvbYP31dULtdeGHtK3Rw0wUH4cU187By8VqcPZXuebw24UNd/s4EQYDFbIU2SFOr7ZuasdzUYtrS1rXH/klcS9ke3H8UTz44tcqqMpXDh5tvHYyeF3XH7EmLvVbOaWj4UJdzJFC7c0JbO280dd8UnQ6UHT0AZXQcZBqt53FTdgZkGi00CSmNfkxCSNtTq+ChLaELp8aVm52Plxa+hl9/rho6uNUlfKgudHC7MHxYsno2Bt94DbQB/oJeXejgVpvwgZzX3vpndRfUbu4La0EU/IYObg0JHwipSXvrn8QVOhzafwxPPDjF71K27vBh7ctvQ19mwPxl07Bg+vJGCR/qco5sTyH9hZq6bwp2O/THD0IVEw+p+nxgY87JhESphjap5hpthBDSIla1IK1TYUEx1r+yudrQAQB+/ekPrH9lMwoLiqvdrqS4FGMfnl5t6AAAr614E126dcTgG68GAMyZvBT79hyEIPj+MtYUBEHAPzv3Vxs6AEBGWjaefmgaSopLA9Qy0lqUFJfiiZHVX1ADwOxJS7Dv30MoLiipNnQAAIO+HDMnvIClq+d4FXbLTM/GU6Po75AQUjeZ6TnVhg6Aa8TUzAkvYN7SqTCbLFg0ayVWv7HYa5vvv/oFb7z2Lgz68lofu67nyEBeA7Q77pUrLpwizXG0qgUhpNbqHDwUFxdj3Lhx6NGjByIiIhAWFub1Q9qP8IhQjHj4Ls9SgP7ogoPwwMN31XinQ6VWYdKMp8Dz1f9ZduneERFRYdizcx8A4OJ+PdG1e0dIJJK6/QINIJFI0LN3V/S8qFu123Ech0kzn4JK1fjVvUnrplQqMeG5J2vcrm//XujSrSOUKiWuvd73sraV3T3iVvz60x+wmC2exziOw8QZT0KpUjaozYSQ9iU4NAjD7hhS43a33nUjdv+1F/oyAx567F589sG3Xs+HhAbjvgfvqPF6obK6niMDeQ3Q3rCKlSsurM1Gq1oQQuqizlMthg0bhtOnT+Oxxx5DdHR0lZPQww8/3KgNbGw0VLRxiaKIE0dP44mRU3zeydAFB2HzZ6+hY+fkGgMFALBYrNj9115MenIuRB8fZl26d8TkWU9j+rjnYSw3od9lvfHS2ucRGdU8NR7ycwsx6cm5OHLweJXnOI7Dqg2LcNXAy6BS0xe+2mhv/dNssmD7r39jxrOLfD7ft38vrFi7EFExrr/vnKw8rFj0ut9RRo88PQJSqQSbXn/f8xjHcXh5/UJcde1lUDfB8nak/Whv/ZO4lBSX4pUX38DXn/5fleciosIwZNi1iIqMwJoVm/Dc/PE4efys17YhocHY/OkadOySUudj1/Uc2V41dd90mo0wnD4OdXwyJIrzy6ta8l3Lh+s6dm30YxJC2p46Bw9BQUH466+/0KdPn6ZqU5OiC6fG5y980AUH4d0v10IulyEsIhRqtQr6MgMM+nJERUdAoVSgrNT175i4SMjlcpSWlMFsNOPUiXNVwocu3Ttiyeo5MBtNWDx3NXTBWixZNQdOp4CklHifbSvIK4Td7kBCUlyj/K6Z6dlQqpSIjAoHYwxZGbngeQ7TnnneK3yg0KF+2mP/9Hdh7e+C2l/4MH7a49AGqfHigjWexyqHDqIgoLioFCq1ClGVirHm5RTAbrdDpVZ6BXilJWUoNxgRlxADqVTqebywoBhWixWJyb77HGm72mP/bM/ycgtgMVuRkBSLgvxibHhlC7757EfP8x07p2DxqllwOgWMuedZPL98Og4fOI5P3vvas03l0CE3Ox9WixWpnZKRm50PBoa4+PMrOjmdTuRk5SNIp0FoWIjn8eKiEuz6ay9mTfSevlH5HJmVkQO5XN5uA4im7psOYznKz56AJiEFvFzuedxSkAcmCgju1L3Rj0kIaXvqPNWiW7dusFgsNW9I2g2e59G1Ryds+nCVZxilO3T4d+d+3DJwJHb+sQfFRSX48uMfcPvgh7Bn136UFJfh/bc+w/Aho7F/7xGUFJfhjdfew/AhDyM2PhqrNizyjJLo2rMTVq1fhLfWvY/xj87C9Hnj8OKa+Vg2/1WMGj4WZ06lVWlXQV4hpjy9AI89MAmZ6TkN/j3PnU7HQ3c+g/nTl6MwvxhnTp3DiNuexOsvv4WV6573TLug0IHUhVqjwrXXX4UXX53neezifr2wYu3zPi+i4xJiMH3BeNx4yyDPY+OnPYbb774J1910jdff4cp1z3tCh393H8Dw6x/G5x9+5yn6lpdTgK0/bsdtg0Zhz9/7UVjgery0pAxvrHkX99z0KI4cPAGn0wnAFTrMn74cD901DudOp4MQ0jbl5Rbg9ZVv4oFbnsDRQyfx5tr30P/yPrjj3qEAXKHD3KVT8NSoadj02nv44Jv1GHj9lbh31O0I0rlWPbgwdFg0awXG3PssThw7jTfWvIuxo59DTrarfoPT6cThA8dx941j8MZr76K0pAwAoC8z4LMPvsWuP//FklWzPe2rHDpkpGXjkXsn4LlnF6IgrwikCbjrOPAXTLXgaaoFIaT26hw8rFu3DnPmzMH27dtRXFwMg8Hg9UPap8rhQ2JyPN79ci32/P0fFs9dBcYYpjw9Hzv//BdHD52AIAh49tFZ2Lt7P04ePwOnw4mnH5qGA3sP4+ypNNhsdowaPhZhkaFYtGIGuvfqjCUvz8Ybr72Ln779DeUGI6aOXYC0M5nIyc5DWakej9w7wSt8cIcOB/cdQW52Ph4f0bDw4dzpdDxy3wSUFJdhx7bdmDdtGdLOZMJiseKHr7Z6wofeF3en0IHUmcViQUlJKWYunIiLLumJx555EPqycvgbkCY4BQy5eSAG3TAAjzw9ArrgIEilUujLDBg7aQx6XtQNcxZPRkFeEYzlRvy7+wAmPzkPgiBgwytb8PmH3yEnOx9bf9yOFYteB2MMsyYtxp6/9yM/txBvrHkXH2z+AlarDU+MmIwjB46jILcA86e9iB3bdqOkqBSP3D8RZ06cQ3l+CSx6U4DfMUJIU7DoTcjNysPrK9/Et5//DIvFiidHTsHAwVfi0/e/Qf/L++DxcaMwb9lUTHx8Dgz6cvzx2068ufYDiIKIzl07YPNna5CYHF8ldNixfQ9KS/R4cuQU3PfQHYiJjcTY0c8hP68Ahw8cxxMjJsNms+ODt7/AG6+9i/y8Qnz0zpdYt2ozvvn8J/zz939Ysmo2+l7a2yt0eOz+icjPK8R//xyk8KGJuGs8VC0uyZ9/jhBCalDnqRanTp3CyJEj8d9//3k9zhgDx3EtvqowDRVtWqIoorCgGP/7fhuWv/C613Mcx2Hukin45+//8PP3v0MikWDhS8/hfz/9gW1bd0Aqk2LJy7Px9Wf/h51//guFQo4N761ARFQ41q56Gz99+5vX/oJ0Wix7dS5eXf4GTh0/67q78tka/D979x3fVLn/AfxzRnbbdO/J3qAgy6ugoDivyr0OXAiod6CCuEAUBAcqCjhQRBS8bq+K43fdAxAFRJbsTQvdu02aec7z+yNN2jRJm7ZJk7bf9+vVl+ack3O+CXnOOfnmeZ5vdHQUZt3xCP7ctd9t+5S0JKx5fwUyslo37KJx0qGxUeeejb9NuRLz5zwFm9WGy6+5CPfO/QcioyIp6dBG3bF9lpdV4OnHXsS3X/6MKydPwsRLz8fcex6HqBCx9qMX0btfD7e5dE7n5mPGDbNRWlyOR5fchzO5Bdi8YRtmz70T9/1rIRhjePblhfi/T7/DN1/+hMuunoiRY8/G4rnPuYYu/ffrNfj9t91Y6qWNPrViPspLK/DcE6+4lqvVKjz3yiKseeUd7P5jn2t5bHwMXn7lcWRlpyEyiSYX7uq6Y/vsbgrPFGHlsjfxxSffui3XaNR4+sVH8dXnP+CWGdfi37c95DGv08TLxmH+4tmIjY9BVWU1YmKj3ZIOjcXE6rHq7efw5aff4ZzRw/DgXYtgaVQ549/3ToPFYsUbr7zr9ryr/n4Jbr/rFqSkJaKooNSVdGjs7JFD8OxLC7vVsItgt01LVQWMeScQkd0LXKP5uiwVZbAbaxHdv3MOvyaEdKxWJx5GjhwJURQxa9Ysr5NLjhs3LqABBhrdOAVXbY0BX332PZ58dIXX9a1JPvz+2y4sevZBbPzxN3z/1Uav+/OWfFi68jE8+cgyr2U5W5t88JV0cGqafHDeeMUl0Jewtuhu7bNx0sGbyKgIt+SDM+lQVFDi2qbfwN6YOWc65s56HEZDndf9XHTZOJw7biQWz3seH/5vtdekgxPHcXhq+XyUl3kmH5564RH85/UPPZIPb7y3HD37Uh33rq67tc/uxjm84ouPv/W6fsCgPnjkqTn45y0P+CyL2fga6Cvp4BQTq8fqd5fhpaWvY9NPW13L/33vNNTWGvH2mo+8Pk8UBbz05tP4v0++xf8+/8HrNt0t+RD0xENFGYxnTiEip7fbfb+lshy2mmrEDBwW8GMSQrqeVicetFotdu3ahb59O+cMtnTjFDy1NQZ8/cWPeGL+sma3cyYftvyyHT98vcmVfPjm/37C5p+3uZIPao0K6z/6Chu+/7XZ/TmTD88/+SpOHstFdIweT62YjycfWY7804Ue2/ubfGgp6eDkTD48dPdiMMYw8bJxeHjxbMRT8qHVulP7LC+twNOLfCcdnCKjIvCfT1ZCqVJ4JB169cnBrLl3Yu49vpMOThddNg533X87Nv+8zWfSwcmZfCguKsWKp19zLXcmH9585V3s29MwmWpsfAzWfvgCcnplNbtf0rl1p/bZ3RTmF2Plsjd8Jh2yctLx4MK7MW/WEz6TDk4TLxuH++b/C088/LzPpIOTs+fDM4texM7f9+KOu2+B2WTxmXRwEkUBjz8/D5999DW2/brD6zbdKfkQ7LZpLi9FXX4uInv0cVturaqEpaocsYPODvgxCSFdT6vneBgxYgROn/b8JZkQjuOgUIh+bSeIAux2qf4xwAs8JNdjzvXY3/1xHAe5fpgPL/DgAJ/j43me9xim6HW/PA9eaLmJCILgVn1DFAX4sXtCoBAVLW7DcRw4vr5dNClJK8my1+XeiKIIxhgUSv/alKgQYLPZPJbzHAdJch/Ty/OcX22FEBKeOI6D2Mz5SJaZ3+cahSiCAyCILZ9reEGoH6brOKfYbXa/rvuoj6W54b2iQgRdjANElj3ndwAck03SHA+EED+1+k7x7rvvxqxZs7Bu3Trs2LEDf/75p9sf6b4iInW46LLxWPj0Az634XkeC56+H5t/3uoYWiEKWPzcXHz1+Q/Y8ssfUCgVeGr5fHz0zue4f+ZjOO+C0bjsqok+9xelj6zv7fAKck+eQWx8DJa+vBBPLXgBBWeKPLZPy0jB6+8t86u8ZnaPDLz54YuIT/Tdc2Hs+efgr3+/BI/ctwSMMVzy1wvx0IK7aagFaVFcQizue+RfuOKai31uE6WPxNr/voicnllIz0zFmveXIzW9ofzcyWO5eOGZ1VjywiOumeS9ufSvEzB85FBcM3Eqhp49EA8/PtvntjzP45mXHsWZvAKsfP5N13KNRo0lLzyCN155Fwf3HXEtj0+MxRvvrUBWToafr5wQEm6SUxPxr9lTMfmGK7yuP52bj5eWvo5Vby9FdIze534u/esEPLjgLqSmp2D+4/fi/AljfG4blxCL195+Di88sxp7djjmZFq76n0IAo/p/7rR5/NEhYhX33oWG374FX9s3e11m5Hnno2nls93Kx1M2o4xGRzn+ZXBOeyCMUo+EEJa1urEw/XXX4+DBw9i+vTpOOecczBs2DCcddZZrv+SjldWWoHqqvCoKBIRqcO4cSPx8IJ7PNY1Tjr88PUmt6TD5p+3uSUdtm/ZBaVSgcioSEy49HxcdJnn3CGNkw4njua6unv36JWFhKQ4j+1bk3Rwai750DjpYLfZKelAWi0u3nfywZl06NUnx3Vz5y35cPTQCbzwzGo8/+oir8mHq/5+KUaMHoonH10Oxhiuv/wOn8kHR9JhAc7kFeCFZ153Lddo1Hh+1WK88cq72Lv7oGt5fGIsXnrlCcRFRbbnbSCEhEB5WSVMdQ3l0ZNSEnHnXbdg8g2Xe2yr1Wnw73un4/WX38YzLy3wmnxwJh2c18CUtCSfyYe4hFi8+taz+O+7n2PK1MnQaBomZH795XcgCDz+Ofs2j+eJChGvvfM8zjpnMO6673akpCV5bENJh8Bjvno8OJMRcqtGbRNCuqlWJx5Onjzp8XfixAnXf0nHKi+twJOPLMe7az8Jm+SDAjwyFRFuyQee5/H0i4+6JR2ee2WRW9JhxWtPuJIOarUKy1c/gbWvvY8H/v0Yzr9wDC6/uqHnQ5Q+Estfe9wj6ZDTKwtxCbF49qWFOHvkENf2bUk6OHlLPpw/YSwm33AFJR1IuzmTD5dfc5Frmbekg5O35IM+Ogq9+uZg7UcvuCUfrrn+ctz94O1ITk2C0GgoxOYN2zBuwhi35APP83j25QUYNnwQqiobziUajRqvv7cMyVF6REc3jB12Jh1OfrYNTKJfuwjpTIoKSvCvWx/App+2uiUfdIKIW2+Z7JZ80Oo0eObFBXhl+ZvYt+cQ0jNTHBWkGiUfmiYdnLwlH5xJh2cXv4ydv+9Fv4G9seaDFW7JB5tdwt+nXIHZc//hWuZMOgw9ewCUSiUyslKx5v0VbskHSjoECWPgeM/Eg6vHAw23IIT4g3Uz1dXVDACrrq4OdSjtVlZSzmbf+QgbnHk+G5x5Plu57E1WVRn611VXZWBV+aWsNL+Yffzel2xo9nj207e/sOL8Yvaf1z9iZ/W4gP228XdWUV7JXnvxLXZ2rwlsx7Y9rKK8ii176lV2Tp+L2J+79rOSolK24P6n2egBl7A/d+1npSXl7OHZT7BzB1/Ojhw6zsrLKtnsOx9h486+ip04esr9+AWlrCCvkE39+13sknOvZ7nH81h1YRmryi9ldVWGNr2uk8fz2AUjrmZ3T5/LSovL2LHDJ9l5Q69kD9z1GCsrKQ/U29etdaX22Rq1tUa2/89D7N5/PMLOHXw52/LLdlZSXNbsc07n5rNJY69j0667hxUXlTLGGJMkiR0+cJSNHXQZW/DAM6y8rIIxxpjBYGSbftrCzupxAVv90n9YUUEJq8ovZQVnCtn7b33KhmaPZ9/+30+suH558ZkitvTxlWxk34vZ3t0HmKG+TReeLmR3TZvLLhhxNTtx5BSrLipvV5sinUt3bZ9dTWF+Mfv7JdPZ4Mzz2ZCsceybL39idcY6xljD9Ts/r5AtfPBZNqr/JPbnrgPssYeeZRNH/Y0dP3qK1RRXspriCnb04HHHNXDmY6y4oKTZYxacKWIzpz3Exg+/mh05eJwteOBpNvmi21hhfjFjjDGbzcb+3HWAjex7MXv+qVdZZXkVY4yxqsoa9sYr77Kzel7Ift+yi1ksFo99553KZxePuZbNmDLbdS7sboLdNg35uazy4J/MWlvt9ldXXMDK92xndos5KMclhHQtra5qsWTJEiQlJWH69Oluy998802UlpbioYceClhSJBi6yqzc5aUVeOKR5fjxm01uy/85+zbcNO1v0EeHx2sz1BpRU12LmLhoaDRq1FTXwlBrRFxCLFQqJaqramCoNSIxKR4KpQJVFdUwGIxITk2EKIooLiyB2WxBWkYKRFFEeVkl6owmpGemgOM4lJVWwGwyu/VkqC4ow7eL34GgEDHwpvHgFAIOf/gLzDWOWf8nLbgZ+tS2/RpyJq8AarUK8YlxrscajZp6OgRIV2mfrWEw1OHnb3/Bo/c/jQVL7kNWTgYen/88dDotlq16HEkpCT6fm3+6EAqlwu3XPVmWUXCmCFqdBrFxMa7lRmMdKsqroFaroLQzfLv4HQDAqDnXQFArYK004I9Xv3JtP/7RKbBKkqstOpWVlsNssrSp9xDp3Lpj++xqigpKcPeMeTh84JhrGcdxePblhTj/wtHQaDWu5Y7rrxWp6UkoKSyD1WrFsY9/Q+WpYgBAZFIMek0eA0ulARl9Mlu8rhbmF8NisSK7RwaKCkrAwJCS2tBbwW63o6igBBEROkTHNvSmqK6qhaHWgISkOCiVSq/79nYu7E6C3TaNZ07BZjRAl5bpttxuNsFUcBr6PgMhqDU+nk0IIQ6tTjxkZ2fjvffew9ixY92Wb9u2DTfccANOnjwZ0AADrSvcOPlKOjiFW/KhozkTDwDAiwIEhQibyeJa357EAwmurtA+W8OZdJg/5ykAjuEO0TFRrhKug4f1bzH50BaN2wgApA3tgfw97kPlqJ2Qprpb++xqvCUdnHwlH5yqC8qw+ZUvYCxzH9KpitDAajTj4kdvovNFCAW7bRpOn4RkqoM21X0SYcliRl1+HqJ69Yeo1QX8uISQrqXVczwUFRUhJSXFY3lCQgIKCwsDEhTxraWkAwCsWrEurOZ8CCXZLrklHQgJF02TDoCjt4Iz6QAAe3cfxJx/PoriwtKgxtI06UAI6VqaSzoAjvLTD961yGPOh8aaJh0AwGIw+SxdTboQn5NLUlULQoj/Wp14yMjIwK+//uqx/Ndff0VqKnW9Dbbyskps+mlLi9t98NZ6mM30hZuQcGW1WLDqhbda3G7fnkM4fuRks/XqCSHEF7tdwsH9R3wmHZwYY3h1xVrU1Zk7KDLSWTDGvCYeXCU2aXJJQogfWp14uOOOOzB79mysXbsWubm5yM3NxZtvvol7770Xd9xxRzBiJI1k98zAa+88B4VS4XOb6Bg91v33RSQlB7Z7NiEkcGLjYrD63eeRkZXmcxuO4/DMSwswbMRgCILQgdERQroKURQwcszZePz5ec1ul90zE6+89Szi4mOa3Y50P0yWPSosAQB4Z1UL6vVCCGlZqxMPDzzwAGbMmIF///vf6NGjB3r06IG7774b99xzD+bNa/6iRtpPqVRiyFkDfCYfnEmHHr2zOz64bqC2xgC73R7qMEgXkZaR4jP54Ew6nH/hGGh1wZu0S6FVoc8VIyEoxJY3JoR0SroILSZecr7P5EN2z0ysenspUtOSva7vKLU1hpAen/jAvA+1cPZ4oKEWhBB/tDrxwHEcnnnmGZSWlmLr1q3Ys2cPKioqsGDBgmDER7zwlXygpENw1VTX4ouPv8GhfUcp+UACxlvyoSOTDv2nnI/Pf/kVA28aR8kHQrowX8mHcEk6lJdV4vWX30buydMhjYN4cvR48PKVwZmMoKEWhBA/tLqqRWfXlWbltlqt+HPXAfzj5vuh02nDNulgLK+BxeB9sionVYQGujjHv4ep2gir0ff2Sp0GGr3v2ZPb+3xvaqpr8ekH/8Oyp16FRqPGGx+sQL9Bvd3KDJL260rts7XyTxfizpvuw5m8gmaTDoH4fJuqjbDWmWGwWnDPHfNx9PAJjBg1DE8+Pw9aUQRYK/bjJRZeFGAzWcHxPHjB81eytrRBEnrduX12FaZqI4xGIzZv/gMLHnjGMbzizaehExRgMoNCo4Rs95xPRlQpYbdYATS078Yat/W2tO/yskq88PRr+Oy/XyM+MRZrP3oRWTkZLT+RAAh+26w+vA+8Sg11fKLHutoTR6BNy4Q6znMdIYQ05lfi4Z///CceeeQRpKent7jDDz/8EHa7HTfddFNAAgy0rnbjZLVasXf3QcTE6MMy6QAAFbnF+GHJ+81uM3HeFMRmOep5Ny3111RHl/lrnHRwouRDcHS19tla+acLcfTQCYwce7bPng6Bah+F+cW4a9pcHD3cUNFixOhhePrFR5GY5F/78hXLmDsuw5bXv2p3jCS8dPf22RU422zaqH6oieKRk5mOQx9sgtXomFDSV9tt3GYDfY1unHRwouRD6wS7bVYd2gtBo4U6znPusNpTx6BJSoUmIbQ9Zggh4c+voRYJCQkYOHAgLrvsMrz66qvYvn078vPzUV5ejmPHjuGLL77Agw8+iMzMTCxfvhyDBw8OdtyknlKpxNCzBoZt0qGz85Z0AACTyYwZN8ymYRckoNIyUvCX8aOCOrwC8J50AIA/tu7G3HseR0lxWVCPTwgJrfxth6AtMLolHULBW9IBAMpKKjDtunto2EWYYMzH5JJwDA2koRaEEH/4lXh4/PHHceTIEZx77rl45ZVXMHr0aGRmZiIxMRF9+/bFrbfeihMnTmD16tXYunUrhgwZEuy4SSMijcsOCl9JBydKPpBgCHZ79pV0cKLkAyHdQ/H+3LBMOjhR8iGMyN7LaQIAOJ4mlySE+MXvySWTkpIwf/587N27F2VlZdi5cyd+/fVXHD58GJWVlfj4449xySWXBDNWQjrUoQPHfCYdnEwmM+68+T7U1hg7KCpC2q6qshpPzF/mM+ng9MfW3Xhl+VoYaulzTQgJPKvVhm+++NFn0sGprKQCd894GJXlVR0TGPHK0ePB+1cGjufAqMcDIcQPra5qAQAxMTEYOnQoRo8ejV69evnsfkVIZ9a7bw5umva3ZrcRRQHPvbIo6F3jCQmE6Bg95i66B8mpzU8C1qtPDv5xz62IiKQJIAkhgadUKnDxFRfg3PGjmt0uIlKHpS8vhD6G5hQJKVkGeN89HiB3q3nqCSFt1KbEAyFtxgHxvdJa3q6eoBARmx2aCYtiYqNx5z23+kw+iKKAl9c+g+GjhkKlUnZwdIS0TUZWGt74YIXP5EOvPjlY+dYzSElN6uDICCGdAS/w0ERHAACiMxIgqtt2/UtIjMPipQ/5TD5EROqw9qMX0btfD/A83a6GinMO+ubmeKChFoQQf9CZnHQcDuj/979AMTQNGecPanFzQSFi4E3joBvVA4mDs4Mfnxe+kg+UdCCNGY11+GPrbpSVVIQ6FMgcsOuPvSgpKvW5ja/kAyUdCCHNYYyhsLwSPf82BqkjeiP6vL4YcNO4gCcfKOkQRpzDKHzO8UBDLQgh/gnp2XzTpk248sorkZqaCo7j8NlnnzW7/YYNG8BxnMdfUVFRxwRM2q4+6fD+599g5u3zcLS6tNnkgzPp8PRzq/Gv6Q/BmhYZNskHSjqQxozGOmz6cQumXz8Li+ctDWnyIWFAJvYfOobp183CAzMfa1XygZIOhJDmMMZw/MgpTL9hFtat+xhCn0T8c/pDWLhweUCTD5R0CC+u3gy+5nigqhaEED9xzNmHKgS+/vpr/Prrrxg+fDgmT56M9evX4+qrr/a5/YYNG3DBBRfg8OHDbnWKExMT/b44UR1y70zVRliNJq/rZIlBVImQ7ZLP5yt1Gmj0Oq/7EpQiDHVmvPzCWnzx8Teu5fMWzcKEC8dCZByUOhUkq6MyBC8KqDWb8cj9S/DHtj2OZTyPFa89gUEDekOtVsJqtLj2w/E8eKEhEy+qlLBbrD5jbWl949fSWGVFFd5Y+S7GjhtJSYcg6Wzts6qsCr9t/gNzZz3uWjZuwljMXzwLGl70+VlqrLm2B3h+Hn1tb2cMBw8fx923PwxJcrTVYcMH4ekVj0ANHhzX0E54UYDNZAUn8Kg2m/DM4y9j/qJZiNLqYDc52paj+6z75UGpVUGyNVRwce2nSRv0tdzXayKdQ2drn92NP+cS2WaHpUklC1GthN3suCY2bveN/1+pU6OgpBTTb5iNAYP74prrL8P8OU/BXn8+6D+oD5a/uhg6hRJKrbpN7bu0pBzPLHoJd8y8mZIOrRTMtilbrag69Cc0yWkQtZ7/rqbiQgBAVM++AT0uIaTrCWnioTGO4/xOPFRWViI6OrpNx6EbJ++qC8rw7eJ3fK4fc8dl2PL6Vz7XT1pwM/Sp8Z774oCx9/8Nr7zwFv7v8+89nnf/3H+itz4B6X0zseX1ryAoRIy692o88uAz2Ln9T7dteZ7Hs8sfwVlnDcTPSz7wGcvEeVPww5L327y+8WtpqqqyGhqthpIOQdKZ2qfRWIeN3//mlnRwOm/8KMy8/Sak9Uzz+VlyaqntNfd5dDKbLfhjyy7cPaMh6eA09OyBmD93Jva/+7Mrude4PWuiI9DrsnNw+LPfMPymCc228wsfuA4/Lf2oTTGSzq8ztc/uyJ9ziWSTPK5/LV3fI5Nj0eNvozHjpjlekw5O/Qf1wYtrnkRSSvOT1zansqIa+uhISjq0UjDbpmQxo/rwPmhS0iFqtB7rzaVFkO126HsPCOhxCSFdT6vP7MXFxbjllluQmpoKURQhCILbX0cYNmwYUlJScNFFF+HXX3/tkGOSNqgfXrFq5dtekw4A8NzTq3C0uhScTuUaXrFg7rMeSQcAkGUZD977BPYfPhayYRfRMXpKOhDX8ApvSQcA+GXDNqxc8y5Mst3r+kAymy3YsW2P16QDAOzZuR9PPr0SA2+6AIJS9FhvqjJg73s/w1pn8VhHCOneIpNjkXbJsBaTDgBwcN8R3HP7fBQXlrT5eDGxeko6hBnn/A0+K9hxPBAev2ESQsKc511oC2677Tbk5eXh0UcfRUpKSoeW0kxJScGqVaswYsQIWCwWrFmzBuPHj8e2bdtw9tlne32OxWKBxdJwQ11TU9NR4XZ7fa4agw++/BZfrv+u2e2ee3oVNJFajPjnpVi0cIXXpIOTLMuY/Y9HsfzlxxBvsaHsSH6gwyYdqDO2T4vZgi2btuOhuxc3u90vG7bhqYUvYOEzDyIuPiYosdjtdvy5cz/umjbXa9LByZl8ePThu7D7jebbIyFOnbF9ksDRREcg+6/n4I7bHkBmdhquv+VqPHDXY16TDk7O5MPKtU8jPjGuA6PtXjq0bTqTCs3M8UCTSxJC/NHqxMPmzZvxyy+/YNiwYUEIp3l9+/ZF374NY8jGjh2L48ePY/ny5Xj77be9PmfJkiVYtGhRR4VIGqk6Xohx40fjf5//ALmZi1JEpA4DB/dF1YkiXHDhmGYTDwCQmByP5MR4HPvlaKBDJh2sM7ZPlVqFnr2zERsXjYryqma3vfjy8VCrVUGLRRRFpKYnIzk1Afmnm59kd9z4Mag8Xhi0WEjX0xnbJwkci8EEmG3o178Xjhw+AbVaibT0ZOSePNPs8y6c9BcolIoOirJ76si22WKPB56nxAMhxC+t7s+WkZHhMeFYKI0cORLHjh3zuX7evHmorq52/Z0+fboDo+veSvaegrKgFstfXeyz62REpA6vvr4E0YIKR/+3HX2iE/HQgrt97jM5NRGr334Oxz7ZAlOVIVihkw7SWdtnTq8srP3oRcTGRfvc5rEn78Po0WdDF+E5JjaQ0jNT8fp7y5GWkexzm3vm3I7ByWnI3bA3qLGQrqWztk8SGLJdwv73NuK+WdPRp39PPHzvk5j72D3Iykn3+ZyZ903HDbdeA300zQESTB3ZNl1VLXjviQdHjwffPe4IIcSp1YmHFStWYO7cuTh16lQQwmm93bt3IyUlxed6lUqFqKgotz/ScUr+PIU+WRl4dvkjHsmHiEgd1n3wAhJTE1zLTm/ah3HnnoP7HvqHx76SUxPxwouPIUpUUdKhi+jM7TOnVxbeeH+F1+TDY0/eh0SrCAUCMxStrLQCxc2UxkzPTMVr/3nOa/LBlXT4ufmeRIQ01ZnbJwkMZ/LhsSfuQ+8+PZpNPrQm6VBaXI6S4rJghNwtdGjbdPZmoDkeCCHt5FfiISYmBrGxsYiNjcUNN9yADRs2oGfPnoiMjHQtd/61hsFgwO7du7F7924AwMmTJ7F7927k5eUBcGR0b731Vtf2K1aswOeff45jx45h3759mD17Nn766SfMnDmzVcclHUuus0JZUOuWfHAmHf7ceQB/u/x2VNot0Kc5xoMyowV9ohPdkg/OpMOxT7ZAlqhLHwkPidF6vPzqE27JB2fSoeD3I+3eP8fzMMl2PDF/Geb841EUF/pOPkRrtVi2YqFb8uG+ef+ipAMhpF1kuwRWbcJ9s6b7TD60Nukwf85TmDf7CUo+dAIN5VV9zPHAcwBjYdUbmhASnvwqp/nWW2/5vcOpU6f6va2zPKa3faxbtw633XYbTp06hQ0bNgAAnn32WaxevRr5+fnQarUYMmQIFixY4HUfvnTXcmAt1fcWVUrYLVav62SJQVSJkO2+u9IpdRpX3e6mx+JFATaTFbLAYd+Bo3jk/iX4zycv48+dB7DgwWcAOBIRb7y3HMlxsWASg6hSwGyx4Icff8W61R9g9dvPQ6/WgEkylFqV2wz8Co0SNpPV5+PGtcj92V6hUbq91savjQRXZ2ufpmoj7GYLSqqqMePGe3H//H9h9OizXT0d/PnsNNc2TbIdTy96CT99txkAMHhYfzy38jFoBYXHL0y8KMButaPWasY/br0fU26djMuuuBC8rWF8rrMdNG1DLhzn2q9CrYTN7H5OUOpUsBo9n6eK0EAXF/7/XqR9Olv77Graeh0XFKKrvTvbvqhWwu5s343avdv+Gm3j/H+rADz64NNIy0jBjH/dhH/f9iCumHxxq5MOWzf/AQA4Z+xZWLLiESQmUTne9ghm27RUlMF45hQicnp7nefBZqiFuaQQMQPPAtdB1e0IIZ2TX4mHrqS73jj5U99bnxr8C7/ZZEFNTS02ffsrFj+6zG1dRKQOK197EiU/7cM5t16M2Kwk1NYYYLVaERfvuzdNS6/twgeuw09LP/K5fuK8KR51zRvrqPeGdO72WVFeBZVKGbA5HcpKK/DE/GX46dtf3JYPHtYPjz58Dw68twF2i821fMwdl2HL619BHaXF0GkXoejPk249HZzrgZbbhK9tGu+jMWoj3UNnbp9dQVuv4xW5xR7XOF9tuaVtJi24GVaRA8/ziIuPQVlJORRKRZuSDk6UfGi/YLZNc3kJ6vLzENmjj9f1dqMBpuICRPcfCl5Bk4oSQnxr9RwPgiCgpMSzRnN5eTkEynSSFtjtdvy24XePpAMAGGqNmPmP+Ui8cBA40fHRjIyKaDbpQEi4iI2LDnrSAQD27j6ERU+8iAE3joeo8rzJM9fU4fcXv6DhFYSQoEhIjHOVCI5PjGtX0gEAtv+2i4ZdhDEmy77ndwCA+iG0VNmCENKSVicefHWQsFgsUCqV7Q6IdF2GWiN+/PYX1/AKX9vM/Md8FJVXNFuCk5Cuqrmkg9P+P5tPPnSzjmyEkDDWXNLBiZIPYYwxn/M7AA1lNqmyBSGkJaK/G7744osAHCeYNWvWICIiwrVOkiRs2rQJ/fr1C3yEpMuwWm3YsXV3i9sZDXU4fboQOb2zodaogh8YIWHEZrPh6KETLW5XcKYQsgAoNCq3IReEEBJOLBYLTh7PbXG73OOnYfEx1xQJHSbLPktpAnBUtXBs2DEBEUI6Lb8TD8uXLwfg+CVt1apVbsMqlEolsrOzsWrVqsBHSLqM2LhozJ77D8iM4YuPv/G6DcdxeOLpB3H2kP6UdCDdUkpqEla/+zzuvOk+nM7N97pNTKweL7/6JE59sZ1KyxJCwlp6Zire+OAFzLhhls/KPIlJ8XjzwxeQkZnawdGRFsly8z0eeGePB0o8EEKa53fi4eTJkwCACy64AJ9++iliYmKCFhTpumLjY3DXrGmQbRL+7/Pv3dY5kw76Ghk8Xb9IN5aWkeIz+eBMOpz+agcMJVWhCZAQQlohMzvNZ/LBmXTIbFSek4QPxlqY44GjOR4IIf5p9RwPP//8MyUdSLsoGYcpV12CK666yLWscdKhaOexEEZHSHhwJh8ystJcy2Ji9Xjj/RWUdCCEdDrO5ENSSoJrGSUdwh+TWbOJB+rxQAjxl1/lNOfMmeP3Dpct86xWEE66azmwlup/K3UaaPQ6AICxvAYWQ8O2CrUSNnPDuEuFVgVbfU1wX1Q6NXTxeq/rjGXVsBjNsHIML7+wFl9+8i2eeWkBRgwb6OrpwHGca4I8hUYJm6nR8TVKyPaGSYxEpQIWo9n1uPFzgYa65a71PA9eaLiI+qp97np+o/eGBFdXaJ9N2483qggNdHGO19dc2+R4DjUWM/5xywMw1Brw5kcvIiU+HuYao8e2rnbKcUD9579xWxDVStjNnp9zX+1ZqVNBstoBALLEwGTZo+01bEttpDvoCu0zXPlzjQYAq9EEQSG6rmmN27Xbta/RecC5jdt1tVG7b+l5gONcxAt8QNp63ql8zLhhFpjMKOkQIMFsm4a8E5DMJmhTM7yuZ4zBcPIodOlZUMUmeN2GEEIAP4da7Nq1y+3xzp07Ybfb0bdvXwDAkSNHIAgChg8fHvgISUBo9Dq/bxYsBpNbze+mtbwvfOA6/LT0o2b3MXHeFJ+JB7vV5tg/B1z/94tw7ZQrUb3zFH763/tet296/KaPJ86b4lGjvLFJC25GbFZSs/ESEihN2483E+dNcSUerEYTvl38js9tL3nsFqx+93lYLFb06JWF6oIyr/tv2i78Xe+rPU9acDP0qfHNvg5CSGC0dB5wtkeNXoeK3GLXOaCldu9rm8bLfO0jWNdOZ88HMEZJh07AUU6zhaoWHEc9HgghLfIr8fDzzz+7/n/ZsmWIjIzEW2+95RpyUVlZiWnTpuG8884LTpSka2LAwY834/y7r8FhGl5BiFdMZkjLSAl1GIQQEjCZ2Wktb0TCApNlV8lMXziOp8QDIaRFrZ7j4fnnn8eSJUvc5nmIiYnBE088geeffz6gwZFugAE2U/PDNgghhBBCSAiwFsppAgBPPR4IIS1rdeKhpqYGpaWe5ZBKS0tRW1sbkKAIIYQQQgghoeV/jwfP+X8IIaSxVicerrnmGkybNg2ffvopzpw5gzNnzuCTTz7BjBkzMHny5GDESAghhBBCCOlgLc3xAADgeYB6PBBCWuDXHA+NrVq1Cvfffz9uvPFG2Gw2x05EETNmzMDSpUsDHiAhhBBCCCEkBBjN8UAICYxWJx60Wi1eeeUVLF26FMePHwcA9OzZEzodlVIjhBBCCCGkq3D0ePBjjgeJhloQQprX6sSDk06nw5AhQwIZCyGEEEIIISRcyMwxlKIZ1OOBEOIPjjHGWtpo8uTJWLduHaKiolqcx+HTTz8NWHDBUFNTA71ej+rqakRFRYU6nLBkLKuGxWh2PRbVStjNVtdjpU4Fq7H5ShRNt1FFaKCLc7zfxvIaWAwmn/sHxwGNPpYKjRI2k9XtsWxvyKyLKiXslkbP94hFA42eeuR0Bl2hfTb9fHvTuD2Yqo2wGj23FxQirHWe7czZXjiOQ+PTt7fljf/fo53VU2hVsHk5TuMYCQG6RvsMV77OA05KnQYAYDWa3M4Njdu12zmh0XXU27mh8fN8XdM5ngcvcK7j03U0fAWzbVbs3QFVbDyU+hif25hLiyHbbdD3HhDQYxNCuha/ejzo9XrX+C69Xh/UgEjo2a02/LDkfZ/rx9xxGba8/lWz+2i6zcR5U1xfYuwWa7P7B4BJC26GPjW+FVETEh50cVGt+sKu0eu83tBX5BY3204ufOA6/LT0I4/lvtrnpAU3IzYrCQBQXVCGbxe/02xckxbc3FLohJAA8XUeaMzZbn218Zauzb7WT5w3xa9rMiUeuh/GmCOB1eLkklROkxDSMr8SD2vXrvX6/4QQQgghhJAuiDmSCRzvx+SSNMcDIaQFrS6n+eabb+LkyZPBiIUQQgghhBASBly9GFro8cBROU1CiB9anXhYsmQJevXqhczMTNxyyy1Ys2YNjh07FozYCCGEEEIIISHgTDy0VE4TPA8mS/Bj2jhCSDfW6sTD0aNHkZeXhyVLlkCr1eK5555D3759kZ6ejptvpjHBhBBCCCGEdHquHg8tD7UA4DYxOCGENNXqxAMApKWl4aabbsLy5cvxwgsv4JZbbkFxcTE++OCDQMdHCCGEEEII6WCuCkktldOsX89kmueBEOKbX5NLNvbdd99hw4YN2LBhA3bt2oX+/ftj3Lhx+Pjjj3H++ecHI0ZCCCGEEEJIB3IlEvwYagHAMcGkqAhyVISQzopjrRyQxfM8EhIScN999+HOO+9EdHR0kEILju5Sh9yfmuC+SmMZy2tgMfh+rqhWQrLYGjLhjWuHN9rGWSMcAFQRGleJwZZiayk+0nV15fbp63PPiwJsJkdbadyWnP/ftC05KbUqSDa767EsMTBZhkKjhGz3/NWpcZuiNkjaoiu3z/Zoz/W2Nft2nit8nRMUGmXDuYTnwQuOL4stnRtElRJ2i+f+AvUaSPAFq23aaqtRe/IodBk54BW+EwqSxYy6/DxE9R4AUaMN2PEJIV1Lq3s8LFu2DJs2bcKzzz6LF154AePGjcP48eMxfvx49OnTJxgxkjawGk34dvE7Ptc3V5PbbrG2WNO7aT3wSQtuhj413q/Y/KlXTkhX46tNNm1LTU2cNwWxWUkBjYXaICGB057rbXv33fj8MWnBzQE/V5DuzVXVwo9ymgCopCYhpFmtnuNh9uzZ+PTTT1FWVoZvvvkGY8eOxTfffINBgwYhPT09GDESQgghhBBCOlBDVYsWvi7QHA+EED+0uscD4JhsZteuXdiwYQN+/vlnbN68GbIsIyEhIdDxEUIIIYQQQjoY87eqBU89HgghLWt14uHKK6/Er7/+ipqaGgwdOhTjx4/HHXfcgfPPP7/TzfdACCGEEEII8YLJAMeBa2lyyfr1lHgghDSn1YmHfv364R//+AfOO+886PX6YMRECCGEEEIICSEmyy0Ps4BjMmSOF2ioBSGkWa1OPCxdujQYcRBCCCGEEELCBJPlFieWdBF46vFACGlWqyeXJIQQQgghhHRt/vZ4AODo8UCJB0JIMzjmLBofAps2bcLSpUuxY8cOFBYWYv369bj66qubfc6GDRswZ84c7N+/HxkZGXjkkUdw2223+X3MrlKHvGndcEEhwlpncT1uWueb4znwQsPFo7ma3MbyGlgMvmuSA4BCq4Kt0fE4jkPjj1LjeuGyxCCqRK/1w/2Jh3QfoW6fTdtVU00/p96250UBNpOj7XE8D15w/Fok22VXG2ncPhv/f+N25Pz/xm0JcLQnJssey33FSEighLp9hquWzhuiUgGL0eyxvHF79+ec4Npfo/UKtRI2b89rdO6hc0LXF6y2aTxzCjajAbq0zBa3rSs8A0GpQkRWz4AdnxDStbSpqkWgGI1GDB06FNOnT8fkyZNb3P7kyZO4/PLL8c9//hPvvvsufvzxR9x+++1ISUnBpEmTOiDi8NG0tveFD1yHn5Z+5HP7ifOmQJ8R79e+7RYrfljyfrPbNK4d7s/6lrZvT51zQgKlabtqqunn1Nv2LX3Wm9tm4rwpiM1KAgBUF5Q1G4uvfVBbIqRjafS6ZttcRW5xq66pLZ1DJs6b4tqfP+cbOieQtnL0ePBvqAXH85CpxwMhpBkhTTxceumluPTSS/3eftWqVcjJycHzzz8PAOjfvz82b96M5cuXd7vEAyGEEEIIIcHCZBnwe6gFD9luD3JEhJDOzK/EQ01Njd87DGb3yy1btmDixIluyyZNmoTZs2f7fI7FYoHF0jAkoDWvhRASXNQ+CQlf1D4JCU8d1TaZLIHzd3JJXgCTLC1vRwjptvxKY0ZHRyMmJqbZP+c2wVRUVISkpCS3ZUlJSaipqYHJ5H185ZIlS6DX611/GRkZQY2REOI/ap+EhC9qn4SEp45qm63r8SCASdTjgRDim189Hn7++edgxxE08+bNw5w5c1yPa2pq6OaJkDBB7ZOQ8EXtk5Dw1GFtU5bBif6Nyubqy2kyxvyeF4IQ0r34dTYZN25csOPwS3JyMoqLi92WFRcXIyoqChqNxutzVCoVVCpVR4RHCGklap+EhC9qn4SEp45qm0yWWlVOEwCYJPmdrCCEdC9tPjPU1dUhLy8PVqvVbfmQIUPaHZQvY8aMwVdfuc/e/P3332PMmDFBOyYhhBBCCCHdDZNlgPcz8SA4Ew92gBIPhBAvONa0QHQLSktLMW3aNHz99dde10utKKVjMBhw7NgxAMBZZ52FZcuW4YILLkBsbCwyMzMxb9485Ofn4z//+Q8ARznNQYMGYebMmZg+fTp++ukn3HPPPfjf//7nd1WLrlKHvGndcEEhwlrne1IfVYQGujj/Xm9LNclliUFUiZDtkusxk2W3bRQapdv6xtt7Q3XGCRD69tnSZ7/p59Tb9rwowGZyJGQ5ngcvOLqcypIMJjtOt6JaCbvZPWkLuLdTX7E421vjNtZcjIQESqjbZ2dlLK+BxeDZljmOg/MWrPE5ofH/czwHXnD/4ieqlLBbHOsbn2/c9t3o3EPnhK4vWG2zYt9OqKLjoIxueQ43yWJBXX4uonr2g6iLCFgMhJCuo9UpydmzZ6Oqqgrbtm3D+PHjsX79ehQXF+OJJ55wlbn01x9//IELLrjA9dg5Xm3q1KlYt24dCgsLkZeX51qfk5OD//3vf7j33nvxwgsvID09HWvWrOmWpTRbqhservsmJJy19rNP7ZAQ0hJdXJTfiX9CwgVjDJBlwM+qFs4eDzJNMEkI8aHViYeffvoJn3/+OUaMGAGe55GVlYWLLroIUVFRWLJkCS6//HK/9zV+/Hg01+Fi3bp1Xp+za9eu1oZNCCGEEEII8Qdz9GTlWjvUwk6JB0KId61OPBiNRiQmJgIAYmJiUFpaij59+mDw4MHYuXNnwAMkhBBCCCGEdBwm1Sce/J1ckuMAnodstwUzrE7FYjDh8Pc7YCitRmKfdOT8ZRAEUQh1WISEjH9nk0b69u2Lw4cPAwCGDh2K1157Dfn5+Vi1ahVSUlICHiAhhBBCCCGk4zC5fg4hP3s8AAAviNTjoZ6p2ojvl7yPYxv2oLakErs+3ICfnv0Q5hpjqEMjJGRa3eNh1qxZKCwsBAAsXLgQl1xyCd59910olUqvQyMIIYQQQgghnYdz0nB/h1oAjuEW1OPBMT/GtrXfQLLYMOLmCVBH6VBbXIm9X/yGDcs/xYUPXAulVh3qMAnpcK1OPNx8882u/x8+fDhyc3Nx6NAhZGZmIj4+PqDBEUIIIYQQQjoWq69S5+9QC6A+8WCjxEPBnuMoOXQag685F+ooxyTRkUkxGDr5POz6aCO2rPka5911FfhWJHUI6Qpa/YlfvHgx6urqXI+1Wi3OPvts6HQ6LF68OKDBEUIIIYQQQjpWW4ZacILY7Xs8MMZw4KvfEZ2RgLjsZLd1urgoDLhsJIoP5OLQN9tDFCEhodPqxMOiRYtgMBg8ltfV1WHRokUBCYoQQgghhBASGm0aaiGKYN28x0P5yUJU5pUgY3gfr+tjs5KQNaof9v/fVpSfLOrg6AgJrVYnHhhjjplrm9izZw9iY2MDEhQhhBBCCCEkNJxDLeDlnt8XXhDBZKmht0Q3dPLX/VDrdYjNTvK5Tdao/ohIiMbv676FZKPJOEn34XfiISYmBrGxseA4Dn369EFsbKzrT6/X46KLLsJ1110XzFgJIYQQQgghQcZkCeB5rz82+sKJjqnjZGv37PUg2ew4veMokvplNPu+8QKPfhePgKG0GgdpyAXpRvyeXHLFihVgjGH69OlYtGgR9Hq9a51SqUR2djbGjBkTlCAJIYQQQgghHYNJUqsmlgQA3pl4sFkhqLtf1YaiA7mwm61I7JvR4ra6+ChkDO+NQ9/+gezRAxCRoG/xOYR0dn4nHqZOnQoAyMnJwbnnngtRbHVBDEIIIYQQQkiYY7LcqvkdAIATFQAA2WYJRkhhL3/3cWjjoqCLi/Jr+6xR/VB8MA9/rt+MsXdeHuToCAm9Vs/xMG7cOOTm5uKRRx7BlClTUFJSAgD4+uuvsX///oAHSAghhBBCCOk4TJJaVdECADiOAyeKkKzWIEUVvmRZRsGfJxDfI8Xv5wgKEdljB+DMzqOoyC0OYnSEhIdWJx42btyIwYMHY9u2bfj0009dFS727NmDhQsXBjxAQgghhBBCSMdhstTqHg8AwIsKyBZzECIKbxUni2A1mhGXk9zyxo0k9c+ENiYSB/63LUiRERI+Wn1GmTt3Lp544gl8//33UCqVruUXXnghtm7dGtDgCCGEEEIIIR2LSfa2JR4USkjdMPFQtD8XCo0SUSlxrXoez/PIOKcPCv48gZrCiiBFR0h4aPUZZe/evbjmmms8licmJqKsrCwgQRFCCCGEEEJCg0lt7PGgUECyWMAYC0JU4atw/ylEZyaC4/2vAuKU1C8TSp0aR37aFYTICAkfrT6jREdHo7Cw0GP5rl27kJaWFpCgCCGEEEIIIaHhmONBaPXzeKUKYDLkbjTPg8VoRmVeMWKzktr0fF7gkTI4B7nbDsJm6p4Tc5LuodWJhxtuuAEPPfQQioqKwHEcZFnGr7/+ivvvvx+33nprMGIkhBBCCCGEdJA2z/GgVAEAJHNdoEMKWyWHTgMMiMlMbPM+UgZlQ7JJyPvjSAAjIyS8tPqM8tRTT6Ffv37IyMiAwWDAgAEDcP7552Ps2LF45JFHghEjIYQQQgghpIO0dagFJwjgBBH2OmMQogpPxYfyoI2NhDpS2+Z9qCO1iM1KxKktBwIYGSHhRWztE5RKJV5//XU8+uij2LdvHwwGA8466yz07t07GPERQgghhBBCOgiTZYAxcG0YasFxHAS1GjZjbRAiC0/FB/MQnZHQ7v0k9cvEwW+2w1heA11cVAAiIyS8tDrx4JSZmYmMjAwAjpMMIYQQQgghpHNjkgQAberxAACCRgtLWQlkux282OavGp2CsbwGxrJqZI/p3+59xfVMAS8KOL3jKPpdPDwA0RESXtp0RnnjjTcwaNAgqNVqqNVqDBo0CGvWrAl0bIQQQgghhJAOxCS743+E1vd4AABRGwEAsFZ1/fKQxYdOAxyH6PT293gQlQrEZCXhzK6jAYiMkPDT6jTkggULsGzZMtx9990YM2YMAGDLli249957kZeXh8WLFwc8SEIIIYQQQkjwye3s8cCLIsSISJiKC8ArlVDoIsG1MYkR7koO5SEyMRoKtTIg+0volYpD3/0BU7URGr0uIPskJFy0OvHw6quv4vXXX8eUKVNcy/76179iyJAhuPvuuynxQAghhBBCSCfl7PHQljkenFRxCTAV5cNw6hg4QURkjz4QNW2ffDEcMcZQfCgPiX0zArbPuJxkABwK951Ej3MHBWy/hISDVqcybTYbRowY4bF8+PDhsNvtAQmKtI0s2SFZzLBUVcBaUwXJanFMEEQIIWFCtttgN9XBUlUOm6HGcZ5iLNRhkTDHGINktcJmqIWlqhx2Ux1kmy3UYRHSJbV3jgcA4AUR2tRM6NKzwQk8jPm5gQovbFQXlMNSa2pXGc2mFBoVolJiUbj3ZMD2SUi4aHWPh1tuuQWvvvoqli1b5rZ89erVuOmmmwIWGGkd2W6DqbgQlvKShoUch4jMHlBERHXZLm6EkM5DtllhOH0KdkONaxknCIjIcfwSRhMVE28YY5DMdag9cbRh7DkAURsJXVYOBEVgujgTQhyYZAc4rl2JB8Ax+TynVEIZEw9zcQHsZhNEtSZAUYZe8cE88KIAfVp8QPcbl52M0zuOQJYk8HT/TrqQNk01+8Ybb+C7777D6NGjAQDbtm1DXl4ebr31VsyZM8e1XdPkBAkeW22Ne9IBABiDIfc49H0GQhC6zomeENL5MFmGqaTILekAOH5ZM5w4gqg+AyAoVSGKjoQz2Wb1SDoAgL2uFqaifGjTMsG3o0s4IcSdbLcH9AcrUasFOB62mqoulXgoOpALfVo8BDGw55+YrCSc/G0/yk8UIqF3ekD3TUgotTrxsG/fPpx99tkAgOPHjwMA4uPjER8fj3379rm2o1+uOo5ss8FUUuhzvaWyHNoUOnERQkJHtttgqSj1uo7JEiRTHSUeiFeyxeyRdHCyVlVAk5gKqCjxQEigMMnervkdmuI4HoJaA5uhFprElIDtN5TsVjtKj5xBztgBAd+3c7LKooN5QUk82Gx2lJdWQK1RITpGH/D9E+JLqxMPP//8czDiIO3AwCDbrD7XSxYzGGOUDCKEhA5jjj8fpGbOYaR7k5qby4ExgNFcRoQEErNLAU08AICgVsNWXdVl7kdLj56BbJcQm5Uc8H1zPIfozEQUH8zD4L+ODdh+806dwcrn38RP322GxWwBACSnJuKiS8fh+luvRmY2/UhJgqtNQy1IeOE4HqJGC7vR4HW9IiKqS5zkCSGdGMeDE0UwH5MQd7XZzkngNNc1mxMEoJ3j0Akh7mTJBk4IbLsSVGpYZQmyzdolercV7j0JdZQW2rjIoOw/JiMBR3/eDZvJAoWm/e/X919txPx7n4QuUocrrrkIGVlpMJstOHroOD7779d4d+0nuGLyxbj7gduRlJwQgFdAiCdKPHQBvChCk5yO2uOHPNZxggBFFHWjIoSEFq9QQJOchroznjOb8yp1l7gRJcHBKxQQNFpIpjqPdZrEVPA0uSQhAcXsdvDKwLYrvv4c3xWG1THGUPDnCcTmJAfth73ojAQwmaHsWAFSBue0a18/f7cZD8x8DMNHDcW0f9wAlbrh/T9n9DBce+NfsemnLfjy0+/w/f824F/3TsNN0/8OhYK+JpLAop8JughBrUFEdi+3GzBBo0Nkz350U0YICTmO46CMioE2NdNt0jJFlB6ROb3pPEV84hVKRGT1hEIf7VrG8QI0KelQxsRSjz5CAkwO8BwPQEPvJMliDuh+Q6HqdCnqKmoR3zM1aMfQREdAFalByZEz7drPyeN5mHvP4zjrnMG48+5b3JIOTgqlAhMuOR9PLX8YY8eNxIqnV+GGK+7Anp3723VsQpoKi8TDypUrkZ2dDbVajVGjRuH333/3ue26desc5Xka/anV6g6MNjzxggBlVDSievVDVJ+B0Pcd5LiZFwTIFjMkixmyjy7OhBDSHrLNBslshmQ2Q25mPD4vilDFJSCq90DXeUqX0aPT//pFgk9QqqBLz4G+7yBE9RmAqN79odTHgNntzc5xRAhpHcYYWICrWgCO5DOvUEIyd/7Ew5ldxyCqlYhOD96QBI7joE+LR8mR023eh91ux7xZTyA6Vo8Z/7oRfAvD0rQ6LW68bTLmPzEHNqsNt06eiccffh7VVTXNPo8Qf4W8D82HH36IOXPmYNWqVRg1ahRWrFiBSZMm4fDhw0hMTPT6nKioKBw+fNj1mH7taMArlOAVjmy13WhAXX6e66ZM1EVCl54FQUWJGkJI+zFZhmQ2wXjmFCSzCYCj95UuPRuCRgOO87zJ4TgOQoC78JLugRcEQBAgWcww5ufCbqh1LFcooU3LhKiLAC+E/LaGkM5NlgHGAp54ABxtVbKYAr7fjsQYQ972Q4jvmQo+wPNgNBWdnoAjP+5q8zwPH739OQ7uO4KHF8/y2tPBl+weGZj/xL34+bvNWP/R1/j2/37Gv++dhmtv+isUSkWr4yDEKeQ9HpYtW4Y77rgD06ZNw4ABA7Bq1SpotVq8+eabPp/DcRySk5Ndf0lJSR0YcecgmUwwnDrm9kuQ3ViLmuOHIVktIYyMENJVyDYLao4fciUdAEAym1Bz/BBkK/0KTQJPslpQc/ywK+kAALLNCsOpY5BMnfsLDSHhQK4vXRvooRaAI/Egd/JHDDiyAABWu0lEQVR70LLjBTCW1SCpX0bQjxWdHg8whrLjBa1+bnVVDVYuexPnXTAaPXpnt/r5PM9jwiXn48llD2Po2QPxzKKXcOX4m/Dx+1+6KmIQ0lohTTxYrVbs2LEDEydOdC3jeR4TJ07Eli1bfD7PYDAgKysLGRkZuOqqq7B/P41Baky221FX6H1MGLPbfFa/IIQQfzFZhrmsxHuJTMZgLi8Bk6nMIQkse50RzO59OE9d4WnIPtYRQvzjbF/B6fGgAJOkTj3098Qv+6DW6xCdEfzKD5roCCh1apQea33iYd1rH8BqseLq6y5rVwz66Ejc9o8bsOjZB5GanoLH5z2Pi0b/Hc898QoO7D0M1kyZbEKaCmmfxLKyMkiS5NFjISkpCYcOeVZoAIC+ffvizTffxJAhQ1BdXY3nnnsOY8eOxf79+5Ge7ll/1mKxwGJpyMzV1HT9cUpMliGZjD7X2ww1UMXEdWBEhHjXHdtnV8Fkqdkkpt1QCyZL4KjUYacVju3TVus7BslUR8ku0i0Es206kwJcEIYt8QpHN33ZagEvdr5hUeYaI07vOILs0f07ZJi3c56H0lZOMFlZUYX31n6CCZecB310YMp9pmWk4F/33obiwlLHEIwP/4f/vP4hEpLiMercs3HWiMEYPKw/evXNgdgJ/21Jx+h0n4wxY8ZgzJgxrsdjx45F//798dprr+Hxxx/32H7JkiVYtGhRR4YYehzAKRRgPiZ5ozkeSLjolu2zq+B48AqF2zCLxniFEvAyxwPpPMKxfQoq3+OUOVEB0JxPpBsIZttkrsRDEHo8iI7Eg2S1QNTqAr7/YDv8/U5wPNfu8patoU+Lw/FNe2G32iEq/fva9v5b6yHJMi6+/IKAx5OUkoAbpl6Dv9/0Vxw5eBx7dx/Evj2H8NVnP0CWZWg0agwdPgjnXTAKk668EIlJ8QGPgXReHAthHxmr1QqtVouPP/4YV199tWv51KlTUVVVhc8//9yv/Vx77bUQRRHvv/++xzpvWeGMjAxUV1cjKiqq3a8hHDHGYCkvQV2B95lw9X0HUfKBhIXu2D67EpuhFrUnDntdF9mjLxQRgfmlhYRGOLZPyWJG9eF9XtdpUzOgikukCadJlxfMtmkqKYS5pAgR2T3bG6ZXtaeOQZOYAk1iSlD2HyyG0mp8s+g/yBjeGzljB3bgcavwxzs/Yvy9f0Ni35bnlTCZzLh49LUYPmoobpr2tw6I0MFitiD35BkcP3oKh/YfxaEDxyDLMiZdfgHuun8GMrLSOiwWEr5C2uNBqVRi+PDh+PHHH12JB1mW8eOPP+Kuu+7yax+SJGHv3r247DLvY5hUKhVUzfxC0hVxHAelPha2OiNsVRWNVyAis6cr40xIqHXH9tmVCGoNNMlpMBXluy3XJKdBUGtCFBUJlHBsn7yoQER2Lxhyj7vNL6LQx0Cpj6WkA+kWgtk2ZbsNnBj43g5OvKjodJMPy5KE39/6FkqtCpnn9O3QY+vi9RDVCpQeK/Ar8fB/n36HmupaXHzZuA6IroFKrUKf/j3Rp39PXPrXCairM2HLpj/wzZc/4cdvNmHWQ3fi5hnX0jm6mwv5UIs5c+Zg6tSpGDFiBEaOHIkVK1bAaDRi2rRpAIBbb70VaWlpWLJkCQBg8eLFGD16NHr16oWqqiosXboUubm5uP3220P5MsIGk2UwyQ5wHHSpGZCTUh0TBdXXT+YFsdkx15LNBibZwXF8s11anWRJAmQJ4HkqY0ZIN8OLIlRxCVDqY2Cvn1dG1OjAiSJ4QYQsSa7zj6Bs+02ybLcDTAZ4wVFS0bXcBjBHl2DneU2W5fphZgycQgE+CDOzNxujIHTYMbuaxtevxglyyWp1zRfC8QIEtRb6voNgN9UBkgRBqwMviuBFhc99EEL8w2w2cHzw7ud4UexU1dUkmx2/v/Udyk8UYujfz4eg6Nh7XY7joE+tn+fh8lHNbssYw3trP8GwEYOQEOIhDlqtBhMuOQ9/uWAU1n/4Pyx9fCX2/3kYjz83l0pydmMh/6Z4/fXXo7S0FAsWLEBRURGGDRuGb775xjXhZF5eHvhGX5QrKytxxx13oKioCDExMRg+fDh+++03DBgwIFQvIWxIFgvM5SWw1VSBV6mhTU6FpaIMttpqcLwAVVwCFJF6r18AJLsdzGaFuaQQ9jojOIUC6vgkiBqd1wSELEmQLWaYigsgmU3glSpoklIhqDWdcsIgQkjb8IIICKLb8C1ZliGZTY7zkfP8E1t//mnFr3Sy3Qa7qQ7m4kLINisErRaaxFRwggi7sRbmsmIwux2KSD3UCUlg4GCrroSlsgxgDIqoaKjjEoI6tEy222CvM8JcUgjZZoOgjYAmKQWCUkUTa/qJMQbZaoG5rAS22ipwvAB1fBIEXQSYzQpTSRFkixm8Sg11XAJsRgNkmxXquARYjbWwm+qgTkhyuwZyPO+45kVFQ1AoQ/0SCek0ZLstKPM7OHGi77mBwgljDCWHz2D3fzegpqgSAy4bhei00HyZ16fGIff3Q5AlyS353tQfW3fj+NFTuG/+vzswuuapVErccOs16NknB2tWvoM6Yx2eX/U4FB2cwCHhIaRzPIRCTU0N9Hp9lxtDLlnMqDl2yPFLD88jMqsnDLknwGTJbTsxIhK6tGyPm3+boRa1J494lMZTxsZDk5jilqxgjMFaUwVj7nGPOLSpmVDFxgWl/jPp+rpq++xuJLMJNccPgUlNzj+6COjSc/zuTWUuK4a52L2MmCYpDXaTEbaaKvcncDwis3vBkHfc7bicqEBUz75BST7IdjtMJYWwlBU3iYVzzHGhiwj4MUMpWO1TsphRc/Sg2/VKGZ8IUaVBXX6ux/balAxYa6thN9QiIjMHdcUF0KVmwpB3wnENbETURiAiq4djslNCuqhAts2qQ3shaDRQxyUGKDp31upKWCrKEDPo7LDtdl95ugS7PtqIsqP5iEyORZ8JZyEyMTpk8VQXlmPXBxsw4cHrEdfD99wY9/97IfbtPojFz80Ny/d2764DePn5N3DF5ElY9OyDYRkjCS76OaYLYLIMc2mx64ZLFR0Lc3mpR9IBcJS4k5t0cZMsFtQV5HkkHQDAWlHm8eVBtllRd8bzZhBw1lHvvPWZCSHt4/wy3vS8AQB2owGSxezXfpjd5pF0AMdDUKs9kw4AwGSYSguhinX/RYrZbTCXlTiGhQUYs9s8kw4AwBjq8nMh+6gsRBrIkoS6onyP65U6Jg51hd4nSK4rzoc6Nh4AQ11xAbTJabBUlXskHQDAXmeAvRP8ukpIuHD0eAjer9GcqAAYc1XPCDcnNu/DD0s+gKmyFoP+OgZn3zA+pEkHAIhMjAGvEFB6LN/nNmUl5fjx218wbuLYsP1CP/isAZh65w347KOv8O7aT0IdDgkBSjx0Acxuh7W6YRJJURcJW221z+0tVeXuz5elZru92Yy17ttLdq83eI6VDLKtc00aRAgJHCbZYfWWGKhnbXL+8UUyeyYoRI0WdqPB53PshlqIGs8SbbaaKsdcEwFmqzP6XCeZTV6TL8QdkySviSQmyYAse3+SLLvKZsoWM3iF0nsyqp61ogzdrHMnIW3CZAmQ5aDO2eUcjivbwm+eh9xth/DHOz8gZVA2ht84AfE9U8PiSzwv8NCnxDnmefBh/UdfQeB5jDnvnA6MrPXGnn8OLr58PJ5/8hXs23Mw1OGQDkaJhy6AcfCsXd7MidJj3HELJ1WOa/oxaWH7FtYTQrq2Zm/U/L2J471tx/x/vscxA39eavGGlE6FfgrAG9XcvwXNtUGIX5y9tLggztXlnPRVCrPKFrXFlfjjnR+QNCALvS8cBl4Ir/NGdHoCSo8VQPaSkJVlGR+/9yVGjB4GXYQ2BNG1zt+mXIHM7DTMvedxmEz+9YIkXUN4tSrSJrwgQhXT0L3YVlsNpT7G5/bK6Di3xxzHQ9T6HossNhmnzAsieIX3GWk5XgDnYx0hpOvjRAWU+lif6xufq5ojKNUeXybtpjqP81Fjiqho2Aw1HsuV0XFBOS+JWs/eFQ3rIoLaXbmr4EURqpg4j+Ucz/t8/zhBBKu/+RY0OkgWc7PXPFVsfFj8aklIuJPre4YFdXJJQQB43mPYbygxxrDj/Z+g1KnQ58JhYXm+iE6Ph91sRdXpUo91W375A4X5xRg3cWwIIms9URRx+79vQlFBCV5euibU4ZAORImHLsA5ezdfPwGktboSquhYr5NpKWPiPJYLKhW0aRleJ4TUJKcBTZbzSiV0GT28/sKky8ihEmaEdGO8IECdkOT9/KOPBa/0b5I/XiFCl57tvpAx2Ay1UCckeWzPiSLU8UmwVFW4LRdUaqhiYt2qIwUKJyqgTfWsq87xArRpWVThxw8cz0OdmOzxeTGVFkGXkQ3P3hActKkZMJcVAzwPTVIK6grPQBkV7boGNqaIjnUksQghLXL2eAj2uYsXFWE1LLf4YB5KDp1Gz/OHdHi5TH9FJseCVwgoOeQ5981/3/0CGZmp6Nk7u+MDa6Pk1CRcde2leHftJziw93CowyEdJDxbF2k1QalCZI++sNeXFrMbjYjI7gW70QBrdSU4wVFOU1CpIXi58eeUakT16g9LVTnsRoPjV6j4RPAKpdftRa0O+t4DYa2uhCzZwQkClPoYCAollZAjpJsTVGpE9ugDW21N/fmHhyo2AYJa47WcrzccL0ARFY2o3gMck0NaLRB1EY5fx+vXmUtLwCQ7FFHRUOqjAQARGTmwVJSBMRlKfSwUEZFBK6fJCwKUMXEQtREwlxVDttmgiIiEMjrO7wQLqb9+9ewLm7HWMbcDHNcYXqlCVJ8BsJSVQLKYIajVUOpjYa2pgiJSD21aJmyGWmiSU8Gr1I5roKEGlqpycBwPdXwiBI2WkuGE+Em2WR0/KnkMsQ0sXlRAsoRPj4cDX21DZHJMsxUjQo0XeOhT41Fy+DT6TRrhWl5SXIYNP/yKG265Jix7ajRn4qXjsHXzDjz+8PN457NXIQSxpw0JD5R4CCHZbodss8FaUwnIMhRRenCCCGtVBcAYlHrHLzjOmybZboNstTq2BwelPga8QunKTHMcB16pBGc2OeZ9ACBGREFQaxzrBcHnxUQQBEAQoEpIhipWAsfzzWa8OZ4HeMfxZJOtIeFASQdCwOonWbUbDbCbjBDVOogREeAVyrC5MWCMQbZaHclKcx1ETQREnc7vxEBLOJ6HoIuERq0BwIEXBXC8AMlihmQ2wWaoAa9QQhEVDV4hghc8vxzyggBeo4UuLROMMUf3e46DZLeB40Uoo2MAJoNTKAHm6L0lKFUQdZFgjEHogGFfvCCC1zp6ZzSOkbQSAwRRAZvZAEVUFJjNCnNlOQSlCqq4BDCZAZzjC4s6IQmQZVirKwG7HYI2AuA4CAolhNh4KPQx4DiOkuCEtBKz2cCLiqCfwzhR9LvCUbBV5Baj7FgBBl4xOuzP3TEZCcj9/RAkuwRBdHxJX//B/6AQRYw5b3iIo2s9URRw0/S/4emFL+Lz/36DyTdcHuqQSJBR4iFEZLvdUaO+pNC1zFxaBDEiEqqYeBhPn4S5tAgKfQx0qZkAAGNBHmzVlQ3blxRCFZcATVIqGGMwnj4Ju6GhAoW5uADqhGQwJsNSVgIA0KSkQxkdC8FHTXNnAqIldrMJtccPu6pbWACA5xHZoy9EjTbsT96EBJNkNqH2xGFXVQNn+4jq0bfZeQE6CmMMdlMdak8cdlUOsKAEnCAismdfiPXJyraSbVYYck/AXteoAoUoIqpHXxhOHXMb22sqyocuswcUkVE+Z1LneN7V4V6y22CrrkJdvntJX0GtQURWTwgqdUiGODSOkbSOZLXAkHcCssUMXVYPGPNONumGzUGXkQVLRTkkUx0icnrBePqU63NkLiuGoNEhMrunIxlPv5oR0iayzRrUiSWdeIUCttpqR7I2xPeLxzf9CVWkFvE9U0Mahz9iMhNxYvM+lJ8oRGKfdNjtdvz3vS8w8tyzodWF/6SS3vTu2wOj/zIcLzy7GhdfPh4RkaG/RyLBQz8HhIhsNbslHZzshlrINisEjeMEYquuhL3OAJux1i3p4GQpL4VkNsFaXe2WdHAylxZBoYt09XQwFZ5pd1k52WaDMfe4Z0lNWXZ8qaDa9aQbk2xWGHKPe5ZSlGUYco+HxbhW2WaD4dQxj3KFTLLDmHu8XW2YMQZLZbl70gGANjkdpqJ8rxOKGU+fBPPzmMxu90g6AI5kj6m0CDKVsOxUZFmCubwUkskIZWw8LGXFXtoIg/FMLtTxiWCyBOPpkx7zfEgmI8zlpWDMRwlOQkiLJJs1qBNLOnGiAmAsKGWOW8NmtiJv+2GkDMoG57WSUniJSIyGQqNC8QHHNXDjD7+hpKgMF1z0lxBH1j5/m3IljIY6vPHKu6EOhQQZJR5CgDEZ5nLPWWmdLJXlbjN0S1arYyItH8ylxZCtvrusWWuqoYiMbLT/Cp/b+kO223x2kWN2W8gvJISEErPbfc7WLduskO12r+s6UnPtVLKYXTObt4Vst8Fc38OqMVGtga2mykdADPY6o1/797kPANbKCjr/dDLMZoO1wnE9VOgiYKv1rEri2JBBttvAiQrIVqvXeRss5SVgYdC+COmsmM172wo0Z2U0KcSVLfJ3HYNktSN5QFZI4/AXx3GIyUxEUX3i4d21n6BXnxxk5aSHOLL2iY2LxqTLx+PtNR+hMN/39x3S+VHiIRQYmr05YpLdvcIEB8/eBW7bS2iuDnrT/bX7xoyx5ld7qTFMSLfRCdpHizG08Bqafy48e3s4VzTD32RHs4kbJrcvdhISrs9LS21HkhrmbfCyLZMkMPr3J6RNHHMT2TpmqIVz7jJraHsAntp2ENEZCVBHdZ5hCrHZSajMK8H+Pw7gj627MeGS80IdUkBMuvJCqDVqvPzcG6EOhQQRJR5CgOP5ZmuOK3SRsJsa//rHQRGp9719lB7gfN9sKSIiYTfVuR47Z39vK04Um53xmO+ACd0ICVeO9uEjEchxYVFisdk2yvPtuvHkBAGKiEiP5Ywxr+UOnUSd53O8UUZG+VwnaLQ0wW1nw/Ouf3tZlpr9bApqTcOs+17+nUVdpNey0ISQljl7i3XENYrjeXCCENIJJs01RpQcPoPEvp4lkcNZbLZjmNk3//kSsXExOHvk0BBHFBgajRp//dsk/N/673D4wLFQh0OChO7QQkSMiPRa5x4cD1VsPKxV9fM58DyUkVFQxyV6vaHiRBHK6FioYuK9ftnhlSpH19T6kzuvUruqXLQVLyqgSfY+CY8qPqlDsuWEhCteVECd5L0klzohCVwYJOY4UYQqPsnrOk1Saru62vKCAE1ymsf5yFxSBG2K9+6goi7S74Qlr1S75sBpSpuSHrCqHKRjCAoltClpADhYykuhTvR+bVFERkEy1QGMQR2X6Kj+5IaDNjU9LBJ7hHRGUn3vA66Dys/yCqXPYYkd4czOY+AAJPQK/0klG1Nq1dAm6FF3ugITLz0foth1kq3nXTgGSckJWPH0a6EOhQQJJR5CxFm3XBkT57pBFyOiEJnTG6biAoA5ymtG9ervKKmpVCGyVz8ooqLr98BBoY9FVM9+EJSOEnJRvfo3/GrIcVDGxEOXno26gjyA46GMjUdkdq9217TneB6qmHjoMnJcyRNOVECbmglNQrLPmekJ6Q44noc6NsGtffAKBbTpWVDHJ4EPg19keUGEJiEZ2tRM100mr1RCl5EDVUx8u8sQCio1onr1g6iLcCzgOEe1AbUWETm93Ur8qhOSocvI9jthIKhUiMjsCVVcoutXb0GjQ2SPvhBU7UuqktDgVWpE9uwLjuMhmYyOz0P9dcr5GVHGxMNSUQ5dejZU8YnghIaed6I2AlG9+rX72kZId+ac1LWjkne8QgHJHLoeD6d3HEF0ZiIUms6XrC4yVKNHfCLOGzcq1KEElCgKuOb6y/Drxt/x+287Qx0OCQL6htiBJEmqn9TNDjAGXhShSU6HJsmRbWU8D84uQZOSAYA5fnXk4Jp0jVeI0KRkOH5NBACOAwNgM9YC4MCLCmjTMh3zQXAcOEEEYwwRmT0BngPPi2AcB5uhFuB5V4KASTaAc3R7g1w/gRfP1z9fBrPbwQkCOEFwfTngRRGqmDiIEZFAfTkkxvFgdjvsNgs4XgQnivTrE+mWeFHh1j4cQyyCXxvdF1myg9ntrvleOFEEr1BAjNIjslGMnCCAF0XYLWZAksBkGbwogvECGMeBkyXH+UV2nL8gONq4bLO65o5x7FsJTlRCl5blmJOhfoiJzPPgVRpEZPZ0VB/gOHC8AEGphFS/DyZJ9ecb0bHcanGM3ZckcKLoWK5SQZ2QBFVMHBiTwQkK8EqFz6QOk2XIznMvHIlSXuH730N2nqslO8AL4AWRhpC1k2tiVSaDE0RHwotzVFhhdjsgCtCmZznec0GBiKyekO12RxKMF8AkOyKyewIcB9lqhTouAar4JDC7Dbwo1vfS4RyfF7vN8dkSFSFtd4R0JrLV4hhq10HJcV6hhM1oCElJTXNNHUqPFaDPhLM69LiBUFlZjU1/7MIVA88Cq6gDIjvP/BT+GD5qKHr0ysLyJavw3hev0fm7i6FvhR1EkuyQTSYYTp9oKBvH8dAkpUCpjwUEDrLRCOOZU66JJDlegCY5FZLZBMYYRI0OpqJ8MFmCKi4BvFLl6B0hy4jI7AlrnQGmIkdvCcBxc61Ly4S5rBh2owG8wvGLprm8BApdJKwWEyzlZXBO+sarVNCmZKKuIA8RWT1hKs53684qaLTQZeRAbDRUQ6j/RVeyWmE8fQJ2Q8OM5GJEFHTp2RCUXoaUENINCN6GU3UwyWaFqfCMe1uO1CMiNQN1Z07Bbmwoe6mI1EObmgFj7nFIZlP9Ug7azBwIogKG0ycaSm1yPHQZ2eA4rv685ZggkBME6NKzwRiD8fQp1/mIVyigy+gBq7EW5uKChlhUaugye8BSWQ5Lo+o9iig9NMnpMJ4+BanRnDdKfQzUSWkwnDra0E2X46BOSIY6PtFjmIhst8NWWwVjfp6rfCgniIjIzIGoi/C4yZZtVtQV5cNaWd4Qo0aLiMwe9It6G9nNJkcpWdd4bg7a9ExwPI+6/DxE5vSBtaoS5pJCRPXsB3NJIaxVjd5/tQbalHQY8o6DV2mgjk9E9bGjUEZFQ5OUiuoj+x2JCqsFdYX5btfAiKyeEDXadvfiIaSr81UtJlh4hRKQZTCbDVwH3yfm7zkOAIjv2bmGWQDAl598C7Nsh6BTwXiqBLqs+FCHFFAcx+FvU67A0sdX4vuvNuDiyy8IdUgkgOhK3EGYzYbak0fda9UzGaaifNhNdWA2Owy5x9yqVzBZQl3BaSgi9VDqY1BXkAcmO371E3WRMBWeAWQZolYHcHA8blTDnNltMOSdgDrRMd5ctllRe+ooNEmpkO02WMpL0XimedligfH0SceXgIpSjzG0kqkOhlPHPCYDku12GM+cdEs6AIDdUAPjmVNhUT6QkO5IliWYigs82rImPhHG0yfdkg4AYKutRl3hGYgRjSdwZBDVGtSePNqQdAAAzjGsxJB73K2KBZMkGHKPO77oNfqhQq4/B4oandsxJYsZtSePQhUd67ZcEaGHIfe4W9IBAKzVlTCXFjYM4wAAxhxfVqsrPaoaSBazIwHSqJIHk+yoPXnMY0Z1JsswlRS5JR0Ax7mv9tRRV1dk4j/JakXtiSONkg6Ozw0vKmDMOwmlPhaSxQRzcQHUiamwVJW7JR0AQDKbYDyTC01SGuyGGpjLiqGOT4K1qgLm8hJE5PQBs9tRV3Da4xpYe+Iw/bsR4gfJaunYxEN9ssFuMbWwZeCd2XUM0enxUGo71zCLgjNF2PTTFow6dzg0qTGoO10O2db17rH7DeyNwWcNwAvPrIatC76+7owSDx3EVl3pdkPUmN1YA0t9HXNvLOWlkCwNE/CoYuLqkwYO6sRUmEoKvT+ZMdgNtRC19Tfpsgwm2d2e77a5ZIdss8JaU+11vWy1eNzEMbsNdkOt1+3thhqqq05IiDC73eNLNOCY48E5hKspW02VW1UKTXKa1/OXUh8Di5d9O1kryz2r9zAZ9joDBK178oHZbZBt1oaqFxwHXqFw+7Lqtu+qCihd8900MBUXumZmBxxDTEyNelc0CQbmilLHkA/n9nabz3OxbPE895GWSRaT278JACijY2CpKAMAqOISXNcvZWRUfS88T85qFhwv1F/THJ8hS3kZeFGEubzEewCMwVpdGaBXQ0jXJVst4BQd1xHaMdyKc0wa24GsdWaUHD7d6Xo7MADvrv0E0TF6nHXOEGhSYsAkGcZc7+fMzu7vU67AmbxCfPzuF6EOhQQQJR46gCzLsJuby+jykEy+10tWs9sYJ16hdOt1wInNlySSLGZXZtkREHPrWeGxvbmu2ay31GQW4sa/dnrDZEo8EBIKTJIc8zc0xvOQm3wR9NCodwCvVDcadtFoNwqlz8QAUH/e8TLURPaxXLKYG006KTb/JZ8xz9cFRwLDrceDLDcfo8kEJjdsz2Qv71fj7UM4A3tn5euz47pmcRxkZ2KdMZ8JesCRfHBVTXJ+RpkMyHKz10B7ndGjJwwhpAFjrMOHWnAcB16p8nqOCKbCvSfBJBnxnayaxeaft+LQ/qOYMMlRyULQKKGMi0DtER8/PHZy6ZmpOHfcSLy6Yi1qawwtP4F0CpR46AA8z7vNi+CJQdD4Xi8o1W43TbLN6jbWmNmlZsceCyq1+00875h40uf2am2zX0yazj7PCc1PRMTxNJUIIaHACYJnmV1ZbvnmstF4eNlq9lqCV7ZZwbfmvOPctY/lgqohwcEku/dyw04c57V8MNd0IkGebz5GjQYc37A9x3t5vxpvT6U6W83XZ8d1zWIMvKqhpwuamYuBVygbetA5t+N4gOebvQaKWh1NUEZIMxznZNb8eTcIBJXaZ++7YDm98yiiUmKh7kSTMpYUl+H9t9Zj0NB+yOmV6VquTY+DpbQGloqu+cX86usuhanOjDUr3wl1KCRAKPHQQRT6GFfpr6ZEXSRUsQk+n6uKS4CgarjhtVRWQBXXsL25pACa+nkcPHAcxIjIhrHc9dUqGj/fbXPBMSO9MkrvdT2vVHlcmDhR4Zi93wsxIqrhFypCSIfiRNFRsrcJWZJcXdWbUkRFOyrf1DMV5Xs9f1mrK6Hysm8nZUycZxd3joeojYDU5EbTUWWiUU135qiu4ytpoIyOhbWmymO5JinFrQY9L4iuqkGeOKhjE8A1el28qPB5LvZ27iMtE1Qat38TALBWVUIV65gQzVJeCk2C4/plNdS4ljfFK5QAY2Cy5Lim1X+GVHHxkO12qOMSvQfAcZ5Dfgghbpy9jjq6eo+gUjuG8HbQkFyb2Yqi/blI6J3WIccLBLPFipXL3oRWp8GFk853W6dK1INXK1B94EyIoguumNhoTLryQrzzxn+Rd6prvsbuhhIPHYRTKBCZ0xtc45M6x0OTnOaYcVshIiKrp1tPBI4XoE3NgK22GtbqSmhTM8HxgmNOBWMtNCnpAM87upGCOR43uonmRAUiMnJgrh8/yyuUiMzuDVNJYaMb7EZDOFQq6DJyYMw7AVVsApRNJnsT1BpEZvfy+GWJF0Xo0nM8kg/OqhZUUpOQ0OB5AZqkVCj07m3ZVFbkqFDTeIJG1Fe1SEmHrelEsWaz5/mLOSZjjMjs4dbriRME6LJ6gkly47lrXedAW5PJInmVGpE5vWFpMgGmrbYaEVk9IWjcf5VS6GOgTkhxnxiT46BOTIZSH+Pxy7ag1kCXnu32SzoniIjI6eU+BA2OSQ81ickeyRpBo0VkTm9KPLSBoFQiskcftyQSk2XINht0GTmwVldAUGugTkqBubgAqug4KKObvP9qDXTpWTAV50OMiIQ6PgnmsmIoo2OhjkuE4eQRcKIIbWqGxzUwskcf+ncjpAWS1TFUqWmSMNgEteO8YK/rmF/sC/48AdkudZrEg12S8NqKt1BcWIq//u0SqNRNr1kcdFkJMJ4ogc3ge7hZZ3bJlRciSh+JpYtXhjoUEgAc62YDH2tqaqDX61FdXY2oqKiWn9BOjvrxdgAMMseDkyVHV1HGHF/IRRFC/YlekiTAZoMsObbnXXXO68trKkRABphkA8CBF0QwDq4xyRzHgzHZsf/64RSMMaD+Mc+LYDwPSHbHJF0cD6B+vgeOd3x5kB2/NHL1PSOc++MEAZwgNNvVWLbbHWOsZQkcL9TXUKekA/FfR7fP7kKW7GB2O5hkr2+bInhRAbvVAkgSmCS5tXG7xexYLsvgRRGMF8A4znH+kuyAXH/+EkTwogDZZnN1gedER68p2W4DJMlx/nOej3gBHGPgZMdyjucBQYCoUkOy2Rz7Zqy+y70AUamEZLWAOWMURUeMCiUkm7X+XCo7hliIIngf9ecd5+HGMSrAKxzDMmS73TG3Axw9HjiehyxJjnOZZAd4AbwgdvgvgeGoPe1TtlkdnwUmOz4LHAcOHFj9hMcQBXDMMSEqRBE8HNcUTuABjnf8+/M8wHGOa5IoOpIMkq3+WqMAwFzXIXCcazkNsyBdXXuvncaCPNiqq6DLyA58cM1wlF0+CWV0LHSpmS0/oZ1+Wfk5jGXVOPuG8C/RaLPasOrFt7B31wFcc/3lyOmV5XU72S6h7JdD0GbGI+Hcvh0cZcfYvnU3Vq1Yh5fffBrnTxgT6nBIO9C3wiCSrFaYy4ocs3QzGaI2AtrUDIgajUfteAAQBAEQBDRdIygdJ2fJYoapKB+2mioIGh20KWkwlxQ5fp2s706qSUz1OuyBSRLsZhPqzpx2dHPmeahiE6COT2qoeOE8HtpWq96ZSCGEhBdecCQJGpOsFtiqq2AuLQKz28ArldAkpgIRjooUlvISMEmCoNZAm5oBQaMFr/B+bhCUKqBJUlJQKAEFPM5nrvWN/l+222E31MBUnA/ZagUnKqBJSgEfFeMz2enYv3+/ZHM87xEjkyTYLCaYCk47uu3zPFSx8VDHJ0NQKoEW5q4hrcMrlI5JJa0WmEuKYKksAxiDqIt0fL4UKnA8D8lmdZRuLsqHZDaBEwSoYhMgaDQwFRZAnZgERaS+0eeiyedOKXh8FgkhzZPM3if9DTaO4yBqdLDVVIOlsKAmCS1GM4oO5KLnXwYF7RiBUlVZg5XL3kDuyXxcfd1lPpMOAMCLAnQ9ElF7qABR/VKhivM+9LkzGzFqKAYM7ounHl2Oc8aeBY2mbd9TSOjRUIsgkW1WGE4dhaWsxDVLt73OgJpjh5qdfdvn/qwW1B47BFtNFcBx0CanovbksYYu0YzBWlWB2pOHve7fbjah9vihhrHVsgxLWTEMuceoRBwh3Yxks8FcWgRT4WlXqUPZaoXxzClYKisArqFajWQ2ofbEkaBNAMZkGZbKMhhPn4RsdZyLmN2Guvw8mEqLILdQNaet7BYTao8danhdsgxLWQkMp47SOTFIJKsVtSeOOEqW1vfUsxtrUXPsoKtiiN1QC8OpY40mGpVgLi2CtbICqtg41OXnwVJe2mFjwgnpDiSzyWPoWUcRdRGQrZagV7c4/cdhQGZI6JsR1OO01+4d+7DwwWdQUlSGKbdejR69s1t8jjYjHmKEGmVbjrpVauoqOI7DzdP/jtKScryybG2owyHtQImHILGbTT5Oogx1BWdaddPEZBnm8hJXd2ClPhaWynKvZcdkmw3W2mr3ZXY76gpOe923ZKqDZKEScYR0K5IdlvJSr6vMpYVQRkV7LK/LzwvKF3LZboOpqMDrOktZsSsxEthj2mHydU40m9qUHCYts9cZGiYQbYwxmIry63v1eZ9AzFZb7Zjvg+NgLiumxAMhAeIcnhSqxIOg0YITBJ/XpEA5+dsBxGQnQaULz1/Lq6tq8NqL/8FLS9cgMTkBU++4HinpyX49l+M5RA1Mh7W8FlV/5gY50tBISknAX/9+Cd5e8xH27Nwf6nBIG1HiIUis1VU+19mNta4kgj+YJMHWKJkgarVus8577L+m2u2mjMkSJJPvXyttXmaHJ4R0Xc0mEGTZMTFk08VWC5jsuby9nPM0+AzHFvjEA5OlZntwWGuqfa4jbcMY86xy0ojNUOOadNIXyWxqqG4RhIQUId2RZK4D4KjcEwocx0ERFQNLZVnQkr5VZ0pRmVuMlIHZQdl/e9glCd99tREP3/sk9u4+iMuumojJN1wObUTryn0qo3WI6JmEqj25qDtTHqRoQ2vSFRcgu0cG5t/7JOqMdaEOh7QBJR6CpLlJFVuqFe/5BA4c37A/Jsngmxl/zAlN98/5LOUJwH2mekJI18e3cOrnfZ2fgjD+tplzk2N1kC5TzeyXJsUNPI7jmn1feUFs8brICUJD8itYnwtCuhm7qQ7guJBWf1Hqo8EJIgy5J4LSm+nYxj1QRqgR18NH6fkQObjvKB578Fl89PZn6DewN2bMvBEDh/Zr81wXup5JUCVGoWTDAZhLul4CXRAE3D7zZhQXleHJR1agm9VH6BLoyh0kqialKN3WxSc4brL8xIsi1AlJrsfW6gqPcm9u+49LcEtM8KIIVZz32ugAvHarJoR0Xbyo8Fk2TVCpAS89GxT6GEclgYDHInqU6HXiREVQEqOOcsJ0TuxojhLOPtbFJ4ITRCgifMzIz3HgRYWjS7hC2WzynRDiP6nOCF6lCmn1F47noUlKgWy1oPrwXhhyj6Ou4DQsleWt6iHsjbm2DrlbDyF1cA/wQnh87amsrMZrL7yF555YCV7gcesd1+Giy8ZDo9G0a78cxyF6SBYUURoUff8nTIW+e5l1VkkpCbhlxrX48tNv8fF7X4Y6HNJK4dECuyBOoYDWS2kgQaOFKi6x1b/iKXSRUOhjANR3NxUVXm/QVPFJHt3lOJ53zNSu9jyhadOzO7xuMyEktDiFEhFZPTx+NeYEEbqMHNQV5rst55UqaFPSg/Jlj1cooMvqCa5pMpbnEZHdq75MYmC1eE4M4S9/XRmvUEKTnOaxXNRFQhkdC0GhgCY1w8svrxx06Vkwl5WA4wVEZPX0mawihPiPMQZbnQGCqn1feANBUKmhTc+CIlIPyWKGtboCxtMnUXVoH+x1hjbv9+iPu8DAkDq0RwCjbRtZlvHDNxsx/96nsO/Pw7jsqgmYMnUyEpN9J2VbixN4RJ+dA4Vei6If9qL2aFHA9h0uxpw3Ahde/Bc8tWAFtm7eEepwSCtwrJv1U2lvrePWkCU7mM0Ga00VZLsdyqhoCCpVm7uzyXYbZKvVMU6W46CMjgWT7LBWVYLjeSj1MeAUCkeZOW/Pt1kdJ/OaKvCiwtG1TaRfjkj46Mj22d3Jsgxms8BmqIVkNkHU6CDqIsCLCsh2G6w11ZBtFigioiBotD7PK4HAGINss8JuNMJuMkBUayFGRIJXKIP6K5zHOTEqGhz9mu5TINqnLNkh22ywVVeCSRIU+mgISvfromQxQzLVwWashaBUQ9RFwGY0gON5KCIiHf9GNNSCEJe2tk3JYkb14X3QJKVC1EW0/IQOJtusjupGViuievSFqNW16vnmGiO+enQdUgbnoOd5g4MUpX9OncjDW69/hLxT+Rh29gCcd+EYqINYFpLJMmoO5sN0pgKRfVIQO7JX2PT4CAS7XcKLS1/HyWO5WPP+cgwa2j/UIRE/hEXiYeXKlVi6dCmKioowdOhQvPTSSxg5cqTP7f/73//i0UcfxalTp9C7d28888wzuOyyy/w6Fn2xISR8UfskJHxR+yQkPLW1bZrLSlBXkIeI7J6O+cfCEJNl1BWeAWQZUb0HtGoOnm3rvkX+7uMYNW0SFOrQ9GQzGIxY/+FX2PDDb0hMisNFl41Hqp/VKtqLMQbTmQrUHMqHIkqDxPP6QxkbfgmmtjKZzFi+ZBWKC0vxyrpnMWzEoFCHRFoQ8tTXhx9+iDlz5mDhwoXYuXMnhg4dikmTJqGkpMTr9r/99humTJmCGTNmYNeuXbj66qtx9dVXY9++fR0cOSGEEEIIIZ2TtbrCUc4yTJMOQMP8D0ySYDx90u8JBQv+PIHcrQfR4y+DQpJ0sFlt+O5/P2PuPU/gt01/4MKL/oJbZlzbYUkHwDHngzYjDnGje4PZZeT/bycq9+R6rVzVGWk0atw7959IS0/G7Tfei/+t/z7UIZEWhLzHw6hRo3DOOefg5ZdfBuDo/puRkYG7774bc+fO9dj++uuvh9FoxP/93/+5lo0ePRrDhg3DqlWrWjwe/WJDSPii9klI+KL2SUh4akvbdA6zUCckQxEZ/u3ZXmeAqagAmuQ0aBKbr05RnV+Gn5Z+hKjUOAz665gOnTjTbLHi15+34qsvfkR1ZQ2GnD0Afxk3qtXlMQONSTIMx4thPFUCRZQWsef0hDbN90T4nYnNasNbr3+ELb9sx5WTJ+H+R/+NmNjoUIdFvAhpzTCr1YodO3Zg3rx5rmU8z2PixInYsmWL1+ds2bIFc+bMcVs2adIkfPbZZ163t1gssFgsrsc1NTXtD5wQEhDUPgkJX9Q+CQlPgWibpqICcIIQlnM7eCNqI6CMjoWpKB+8QgmVj+puJYdP47fV/4MqSov+l5zTIUkHBuDksTxs3bwdv236A2aTGf0H9sbfbrgCsfExQT++PziBR2SfFKiTo1FzKB/FP+yFOkmP6CGZUKfEhLSqSXsplArM+PeN6DewFz56+3Ns+OFX3Hr7dbjulqsoARFmQpp4KCsrgyRJSEpKcluelJSEQ4cOeX1OUVGR1+2LirzP2rpkyRIsWrQoMAETQgKK2ich4YvaJyHhqT1tkzEGS3kJrNUVUCcktbrKWigpY+Ig2+0wnj4JyWKGJjEZHC+AyQwVuUU4tmEPcn8/hOj0BAy8YjREVXCqtpnNFhQVliD35BkcO3wS+/ccQnVVDSIitRg8tB+GjRgEfYw+KMduL0WUBrHn9ISlpAaGE8Uo+n4vxAg1dNkJ0KTFQhUXCV4RvkNvfOE4Dn8ZPwpDzhqALz/9Dq+//DZee/E/GHv+OTjvwtEYNnwQevTKgkJJlfxCKaRDLQoKCpCWlobffvsNY8aMcS1/8MEHsXHjRmzbts3jOUqlEm+99RamTJniWvbKK69g0aJFKC4u9ti+aVa4uroamZmZOH36NHUVJSRIIiMj/cqeU/skpONR+yQkPHVE27QXngYsJgAA56Use9hjADO69/CoKqzGn98cgtVkg0KnRuKADKANv+DbrTbs2bkfhfme3ydaoo/WI0of0el6DqgZD53ccqKhmrcjT2WB1ElenrG2Dn9s3Y3amuZLsQ4a2g9PLJuL+ETvPWga87d9Et9C2uMhPj4egiB4JAyKi4uRnOx98pXk5ORWba9SqaBSqVyPnd3RMjIy2hM6IaQZ/o4zpfZJSMej9klIeCopKUFCQkKL27WnbX6y6mWMHzMK5ZVVQGVVW0MNubiYaNf/R6fooYlSo7KqBpLJgPJNZW3aJ8dxiOJFRCWlti0oM4Nj4EVnIqMOdnAANEqVz630sogt3/2MgurKjgstQHiOB+9jAtV9ew5h8MBhqLO2PFyJ5jdqv7CYXHLkyJF46aWXADgml8zMzMRdd93lc3LJuro6fPnll65lY8eOxZAhQ/yaXFKWZRQUFLQra1VTU4OMjAz61acN6L1ru8703rW1fQWifQZKZ3q/26O7vE6g+7zWll5nV2if/uoO/+Zd/TV29dcHNLzGqqoq6PWt76LflrbZHd5Xf9F70YDeiwZN34vOdO0LVyHt8QAAc+bMwdSpUzFixAiMHDkSK1asgNFoxLRp0wAAt956K9LS0rBkyRIAwKxZszBu3Dg8//zzuPzyy/HBBx/gjz/+wOrVq/06Hs/zSE9PD0jsUVFR3b5RthW9d23Xld+7QLbPQOnK73dj3eV1At3ntQb6dYZj+/RXd/g37+qvsau/PgBt/lLTnrbZHd5Xf9F70YDeiwb0XgROyBMP119/PUpLS7FgwQIUFRVh2LBh+Oabb1wTSObl5YFvNPHN2LFj8d577+GRRx7Bww8/jN69e+Ozzz7DoEGDQvUSCCGEEEIIIYQQ4kPIEw8AcNddd+Guu+7yum7Dhg0ey6699lpce+21QY6KEEIIIYQQQggh7dV5auiEEZVKhYULF7pN7EP8Q+9d29F717G6y/vdXV4n0H1ea3d5nf7oDu9FV3+NXf31AaF5jd3hffUXvRcN6L1oQO9F4IV8cklCCCGEEEIIIYR0XdTjgRBCCCGEEEIIIUFDiQdCCCGEEEIIIYQEDSUeCCGEEEIIIYQQEjSUeGiHp59+GhzHYfbs2aEOpVPIz8/HzTffjLi4OGg0GgwePBh//PFHqMMKe5Ik4dFHH0VOTg40Gg169uyJxx9/HDQ9S3AsWbIE55xzDiIjI5GYmIirr74ahw8fDnVYAffqq69iyJAhrvrUY8aMwddffx3qsIKuK5+3H3vsMXAc5/bXr1+/UIfV4bpLG26sq36uu/p9Qyiv7ytXrkR2djbUajVGjRqF33//PejHDDebNm3ClVdeidTUVHAch88++yzUIYVMdzxv+tJd7486AiUe2mj79u147bXXMGTIkFCH0ilUVlbi3HPPhUKhwNdff40DBw7g+eefR0xMTKhDC3vPPPMMXn31Vbz88ss4ePAgnnnmGTz77LN46aWXQh1al7Rx40bMnDkTW7duxffffw+bzYaLL74YRqMx1KEFVHp6Op5++mns2LEDf/zxBy688EJcddVV2L9/f6hDC5rucN4eOHAgCgsLXX+bN28OdUgdrru0Yaeu+rnuDvcNobq+f/jhh5gzZw4WLlyInTt3YujQoZg0aRJKSkqCetxwYzQaMXToUKxcuTLUoYRcdztvNqc73h91GEZarba2lvXu3Zt9//33bNy4cWzWrFmhDinsPfTQQ+wvf/lLqMPolC6//HI2ffp0t2WTJ09mN910U4gi6l5KSkoYALZx48ZQhxJ0MTExbM2aNaEOIyi6w3l74cKFbOjQoaEOI+x05TbclT/X3eG+IVTX95EjR7KZM2e6HkuSxFJTU9mSJUuCetxwBoCtX78+1GGEja583myLrnx/1JGox0MbzJw5E5dffjkmTpwY6lA6jS+++AIjRozAtddei8TERJx11ll4/fXXQx1WpzB27Fj8+OOPOHLkCABgz5492Lx5My699NIQR9Y9VFdXAwBiY2NDHEnwSJKEDz74AEajEWPGjAl1OEHRXc7bR48eRWpqKnr06IGbbroJeXl5oQ4p5LpyG+7Kn+vucN8Qiuu71WrFjh073D4zPM9j4sSJ2LJlS9COSzqXrnzebI3ucH/UkcRQB9DZfPDBB9i5cye2b98e6lA6lRMnTuDVV1/FnDlz8PDDD2P79u245557oFQqMXXq1FCHF9bmzp2Lmpoa9OvXD4IgQJIkPPnkk7jppptCHVqXJ8syZs+ejXPPPReDBg0KdTgBt3fvXowZMwZmsxkRERFYv349BgwYEOqwAq67nLdHjRqFdevWoW/fvigsLMSiRYtw3nnnYd++fYiMjAx1eCHRldtwV/9cd4f7hlBc38vKyiBJEpKSktyWJyUl4dChQ0E7Luk8uvJ501/d5f6oo1HioRVOnz6NWbNm4fvvv4darQ51OJ2KLMsYMWIEnnrqKQDAWWedhX379mHVqlVd5gYiWD766CO8++67eO+99zBw4EDs3r0bs2fPRmpqKr13QTZz5kzs27evy46T79u3L3bv3o3q6mp8/PHHmDp1KjZu3NilLq7d6bzd+FfSIUOGYNSoUcjKysJHH32EGTNmhDCy0Omqbbg7fK67w30DXd9JOOqq583W6A73RyER6rEencn69esZACYIgusPAOM4jgmCwOx2e6hDDFuZmZlsxowZbsteeeUVlpqaGqKIOo/09HT28ssvuy17/PHHWd++fUMUUfcwc+ZMlp6ezk6cOBHqUDrMhAkT2J133hnqMAKqu5+3R4wYwebOnRvqMEKiK7fh7vC57g73DaG4vlssFiYIgsd8Brfeeiv761//GrTjhjvQHA+Msa593myPrnh/FArU46EVJkyYgL1797otmzZtGvr164eHHnoIgiCEKLLwd+6553qU5Tly5AiysrJCFFHnUVdXB553n45FEATIshyiiLo2xhjuvvturF+/Hhs2bEBOTk6oQ+owsizDYrGEOoyA6s7nbYPBgOPHj+OWW24JdSgdqju04e7wue4O9w2huL4rlUoMHz4cP/74I66++moAjnP/jz/+iLvuuitoxyXhrTucN9ujK94fhQIlHlohMjLSY6yTTqdDXFxctx0D5a97770XY8eOxVNPPYXrrrsOv//+O1avXo3Vq1eHOrSwd+WVV+LJJ59EZmYmBg4ciF27dmHZsmWYPn16qEPrkmbOnIn33nsPn3/+OSIjI1FUVAQA0Ov10Gg0IY4ucObNm4dLL70UmZmZqK2txXvvvYcNGzbg22+/DXVoAdWdztv3338/rrzySmRlZaGgoAALFy6EIAiYMmVKqEPrUN2hDXeHz3V3uG8I1fV9zpw5mDp1KkaMGIGRI0dixYoVMBqNmDZtWlCPG24MBgOOHTvmenzy5Ens3r0bsbGxyMzMDGFkHa87nDf91V3uj0IixD0uOr2uVr4qmL788ks2aNAgplKpWL9+/djq1atDHVKnUFNTw2bNmsUyMzOZWq1mPXr0YPPnz2cWiyXUoXVJALz+rV27NtShBdT06dNZVlYWUyqVLCEhgU2YMIF99913oQ6rQ3TV8/b111/PUlJSmFKpZGlpaez6669nx44dC3VYHa67tOGmuuLnuqvfN4Ty+v7SSy+xzMxMplQq2ciRI9nWrVuDfsxw8/PPP3s9V0ydOjXUoXW47nre9KY73x8FG8cYYx2Y5yCEEEIIIYQQQkg3wre8CSGEEEIIIYQQQkjbUOKBEEIIIYQQQgghQUOJB0IIIYQQQgghhAQNJR4IIYQQQgghhBASNJR4IIQQQgghhBBCSNBQ4oEQQgghhBBCCCFBQ4kHQgghhBBCCCGEBA0lHgghhBBCCCGEEBI0lHggbXLbbbfh6quv9rl+3bp1iI6O7rB4WpKdnY0VK1a0+nnl5eVITEzEqVOnAh6TU1lZGRITE3HmzJmgHYN0Xy211dbiOA6fffaZz/WnTp0Cx3HYvXt3s/sZP348Zs+e3erjW61W9OrVC7/99lurn9uaY2RnZ+OPP/4I2jFI97NhwwZwHIeqqiqf27TUvjrSY489hmHDhrXpubfccgueeuqpwAbUxA033IDnn38+qMcg3ZM/bbU1/LkO+3NNbM+99aOPPoo777yzTc/119y5c3H33XcH9Rikc6PEA+lSAp3wePLJJ3HVVVchOzs7YPtsKj4+HrfeeisWLlwYtGMQEiiFhYW49NJL/d4+0Ddwq1atQk5ODsaOHRuQ/XmjVCpx//3346GHHgraMUjnFW6J9UAIZMJjz549+Oqrr3DPPfcEZH++PPLII3jyySdRXV0d1OOQzitc2uoLL7yAdevWteo5bf3BzJuioiK88MILmD9/fkD258v999+Pt956CydOnAjqcUjnRYkHQnyoq6vDG2+8gRkzZgT9WNOmTcO7776LioqKoB+LkPZITk6GSqUKybEZY3j55Zc7pE3edNNN2Lx5M/bv3x/0YxHSlbz00ku49tprEREREdTjDBo0CD179sQ777wT1OMQ0l56vT6kCZA1a9Zg7NixyMrKCupx4uPjMWnSJLz66qtBPQ7pvCjx0Al9/PHHGDx4MDQaDeLi4jBx4kQYjUbX+jVr1qB///5Qq9Xo168fXnnlFdc6ZzfoDz74AGPHjoVarcagQYOwceNG1zaSJGHGjBnIycmBRqNB37598cILL7Q77s8//xxnn3021Go1evTogUWLFsFut7vWcxyHNWvW4JprroFWq0Xv3r3xxRdfuO3jiy++QO/evaFWq3HBBRfgrbfecv2aumHDBkybNg3V1dXgOA4cx+Gxxx5zPbeurg7Tp09HZGQkMjMzsXr16mbj/eqrr6BSqTB69Gi35fv378cVV1yBqKgoREZG4rzzzsPx48cBNHSne+qpp5CUlITo6GgsXrwYdrsdDzzwAGJjY5Geno61a9e67XPgwIFITU3F+vXr2/LWkjAV7m2VMYaEhAR8/PHHrmXDhg1DSkqK6/HmzZuhUqlQV1cHwPOX0d9//x1nnXUW1Go1RowYgV27drm9hgsuuAAAEBMTA47jcNttt7nWy7KMBx98ELGxsUhOTnZrr97s2LEDx48fx+WXX+62/MyZM5gyZQpiY2Oh0+kwYsQIbNu2DUBDd/E333wTmZmZiIiIwL///W9IkoRnn30WycnJSExMxJNPPum2z5iYGJx77rn44IMPWn4jSacxfvx43HXXXbjrrrug1+sRHx+PRx99FIwx1zYWiwX3338/0tLSoNPpMGrUKGzYsAEAmr3OvP322xgxYgQiIyORnJyMG2+8ESUlJe2K9/Tp07juuusQHR2N2NhYXHXVVW5D/5zXnOeeew4pKSmIi4vDzJkzYbPZXNsUFhbi8ssvh0ajQU5ODt577z23X1OdPfquueYacBzn0cPv7bffRnZ2NvR6PW644QbU1tb6jFeSJHz88ce48sor3ZZbLBY89NBDyMjIgEqlQq9evfDGG28AaOgV9e233+Kss86CRqPBhRdeiJKSEnz99dfo378/oqKicOONN7rOQ05XXnkltdEuKpzb6v33348rrrjC9XjFihXgOA7ffPONa1mvXr2wZs0aAJ5DLYxGI2699VZEREQgJSXFY8jQ+PHjkZubi3vvvdcVe2Pffvst+vfvj4iICFxyySUoLCxsNt4PPvjAo03Ksoxnn30WvXr1gkqlQmZmpus66Lz/+Oijj3DeeedBo9HgnHPOwZEjR7B9+3aMGDECERERuPTSS1FaWuq2X2qTpFmMdCoFBQVMFEW2bNkydvLkSfbnn3+ylStXstraWsYYY++88w5LSUlhn3zyCTtx4gT75JNPWGxsLFu3bh1jjLGTJ08yACw9PZ19/PHH7MCBA+z2229nkZGRrKysjDHGmNVqZQsWLGDbt29nJ06cYO+88w7TarXsww8/dMUxdepUdtVVV/mMc+3atUyv17seb9q0iUVFRbF169ax48ePs++++45lZ2ezxx57zLWNM6733nuPHT16lN1zzz0sIiKClZeXM8YYO3HiBFMoFOz+++9nhw4dYu+//z5LS0tjAFhlZSWzWCxsxYoVLCoqihUWFrLCwkLX+5KVlcViY2PZypUr2dGjR9mSJUsYz/Ps0KFDPl/DPffcwy655BK3ZWfOnGGxsbFs8uTJbPv27ezw4cPszTffdO1n6tSpLDIyks2cOZMdOnSIvfHGGwwAmzRpEnvyySfZkSNH2OOPP84UCgU7ffq0276vv/56NnXqVJ/xkM6ls7TVyZMns5kzZzLGGKuoqGBKpZLp9Xp28OBBxhhjTzzxBDv33HNd2wNg69evZ4wxVltbyxISEtiNN97I9u3bx7788kvWo0cPBoDt2rWL2e129sknnzAA7PDhw6ywsJBVVVUxxhgbN24ci4qKYo899hg7cuQIe+uttxjHcey7777zGeuyZctYv3793JbV1tayHj16sPPOO4/98ssv7OjRo+zDDz9kv/32G2OMsYULF7KIiAj297//ne3fv5998cUXTKlUskmTJrG7776bHTp0iL355psMANu6davbvh966CE2btw4n/GQzmfcuHEsIiKCzZo1ix06dMjVZlavXu3a5vbbb2djx45lmzZtYseOHWNLly5lKpWKHTlypNnrzBtvvMG++uordvz4cbZlyxY2ZswYdumll7r2+/PPP7uuV740bl9Wq5X179+fTZ8+nf3555/swIED7MYbb2R9+/ZlFouFMeZo31FRUeyf//wnO3jwIPvyyy89Xs/EiRPZsGHD2NatW9mOHTvYuHHjmEajYcuXL2eMMVZSUsIAsLVr17LCwkJWUlLCGGtoO5MnT2Z79+5lmzZtYsnJyezhhx/2Gf/OnTsZAFZUVOS2/LrrrmMZGRns008/ZcePH2c//PAD++CDD9zel9GjR7PNmzeznTt3sl69erFx48axiy++mO3cuZNt2rSJxcXFsaefftptv19//TVTKpXMbDb7jIl0TuHcVr/44gum1+uZ3W5njDF29dVXs/j4ePbQQw8xxhz3igDY0aNHGWOe1+F//etfLDMzk/3www/szz//ZFdccQWLjIxks2bNYowxVl5eztLT09nixYtdsTPmuLdWKBRs4sSJbPv27WzHjh2sf//+7MYbb/T5PpaXlzOO4zyubw8++CCLiYlh69atY8eOHWO//PILe/311xljDfcf/fr1Y9988w07cOAAGz16NBs+fDgbP368Wzv95z//6bbfgwcPMgDs5MmTPmMi3RclHjqZHTt2MADs1KlTXtf37NmTvffee27LHn/8cTZmzBjGWMPJpPHF22azsfT0dPbMM8/4PO7MmTPZ3/72N9fj1iYeJkyYwJ566im3bd5++22WkpLiegyAPfLII67HBoOBAWBff/01Y8zxJWDQoEFu+5g/f77bxaHpcZ2ysrLYzTff7HosyzJLTExkr776qs/XcNVVV7Hp06e7LZs3bx7LyclhVqvV63OmTp3KsrKymCRJrmV9+/Zl5513nuux3W5nOp2Ovf/++27Pvffee9n48eN9xkM6l87SVl988UU2cOBAxhhjn332GRs1ahS76qqrXG1j4sSJbl80Gn8xeu2111hcXBwzmUyu9a+++qor8cCY7xu4cePGsb/85S9uy8455xzXjZs3s2bNYhdeeKHbstdee41FRka6EpRNLVy4kGm1WlZTU+NaNmnSJJadne3RTpcsWeL23BdeeIFlZ2f7jId0PuPGjWP9+/dnsiy7lj300EOsf//+jDHGcnNzmSAILD8/3+15EyZMYPPmzWOM+b7ONLV9+3YGwPVlp7WJh7fffpv17dvXLVaLxcI0Gg379ttvGWMN1xznFyDGGLv22mvZ9ddfzxhr+BKwfft21/qjR48yAK7EQ9PjOnlrOw888AAbNWqUz/jXr1/PBEFwi/nw4cMMAPv++++9Psf5vvzwww+uZUuWLGEA2PHjx13L/vGPf7BJkya5PXfPnj3NnmdJ5xXObbWyspLxPM+2b9/OZFlmsbGxbMmSJa628c4777C0tDTX9o2vw7W1tUypVLKPPvrItb68vJxpNBpX4oExx31r4zbqfD0A2LFjx1zLVq5cyZKSkny+tl27djEALC8vz7WspqaGqVQqV6KhKef9x5o1a1zL3n//fQaA/fjjj65lS5YsYX379nV7bnV1NQPANmzY4DMm0n3RUItOZujQoZgwYQIGDx6Ma6+9Fq+//joqKysBOLpuHT9+HDNmzEBERITr74knnnANBXAaM2aM6/9FUcSIESNw8OBB17KVK1di+PDhSEhIQEREBFavXo28vLw2x71nzx4sXrzYLa477rgDhYWFbl0nhwwZ4vp/nU6HqKgoV/e3w4cP45xzznHb78iRI/2OofG+OY5DcnJys13rTCYT1Gq127Ldu3fjvPPOg0Kh8Pm8gQMHgucbmlZSUhIGDx7seiwIAuLi4jyOrdFoPLqRks6rs7TVcePG4cCBAygtLcXGjRsxfvx4jB8/Hhs2bIDNZsNvv/2G8ePHe33uwYMHMWTIELd20jjeljRukwCQkpLSpjZ51llnITY21ufzsrOzERkZ6XqclJSEAQMGeLRTapPdw+jRo926Lo8ZMwZHjx6FJEnYu3cvJElCnz593Nrmxo0bPdpmUzt27MCVV16JzMxMREZGYty4cQDQ5mvnnj17cOzYMURGRrriiI2Nhdlsdotl4MCBEATB9bhxOzp8+DBEUcTZZ5/tWt+rVy/ExMT4FUPTtuNPG1WpVG7v7+7duyEIguv98KXx+SApKQlarRY9evRwW+atjQKgdtpFhWtbjY6OxtChQ7Fhwwbs3bsXSqUSd955J3bt2gWDwYCNGzf6/LwfP34cVqsVo0aNci2LjY1F3759/Tq2VqtFz549XY/9aZMA3K6dBw8ehMViwYQJE5o9VtM2CcDtfpbaJGktMdQBkNYRBAHff/89fvvtN3z33Xd46aWXMH/+fGzbtg1arRYA8Prrr7ud0JzP89cHH3yA+++/H88//zzGjBmDyMhILF261DVmui0MBgMWLVqEyZMne6xrfDJs+oWe4zjIstzm4zbW2n3Hx8e7vig6OU+orT2OP8euqKhAQkJCi/snnUNnaauDBw9GbGwsNm7ciI0bN+LJJ59EcnIynnnmGWzfvh02my1oFSTa0ib37t3rtozaJAkkg8EAQRCwY8cOj7bY3GSJRqMRkyZNwqRJk/Duu+8iISEBeXl5mDRpEqxWa5tjGT58ON59912PdY0/l+F23ayrq4PVaoVSqQTgXxtteqzWtFEA1E67oVC3VWeCXqVSYdy4cYiNjUX//v2xefNmbNy4Effdd1+bX1tzvLUL1mjei6bi4+MBAJWVla520tY26W0ZtUnSGtTjoRPiOA7nnnsuFi1ahF27dkGpVGL9+vVISkpCamoqTpw4gV69ern95eTkuO1j69atrv+32+3YseP/27vTkKjWMA7g/7GrZakRagvlZLgXMzm2ibgFlmREJYJZYJFbmNgiarmBbU6ZFUnXNlAMqaxs0yJLCRc0NQobS8fSqKRISyojW7T7IRROY27juan8f9+cOfO878A8nnOe8y73YWdnBwAoLS2Fk5MTQkNDoVAoYGlp2Wf1uC8ODg6oq6vT6JelpaXgqWNvbGxsUFVVJXitsrJS8Leenh46Ojq06msXhUKBx48fC16Ty+UoLi4WLNw1VFQqFRQKxZDHpb9nJOSqRCKBi4sLrl69ipqaGjg7O0Mul+Pr1684ceIE5s+fjwkTJvT4WTs7O1RXV6O9vb3H/gLovvkYirxUKBSora0VXGTJ5XI8fPhQlB1hmJOj0++FufLyclhZWWHMmDFQKBTo6OjA27dvNXJz6tSpAHo+z9TW1uLdu3dQKpVwcXGBra2t1gtLOjg4oL6+HpMnT9boy8SJE/sVw8bGBj9+/BAs+vr06VONorquru6Q5Ki9vT0ACM6dMpkMnZ2dgoVxh4pKpcKMGTO6b65odBnOuerm5oaSkhIUFBR0jwp0d3fH2bNnoVar/zhS0MLCArq6uoLv1traCrVaLThuqK5nLSwsYGRkJMhJKysr6Ovro6CgQOv4v1OpVNDV1cWcOXOGPDaNfCw8jDD37t3Dvn37UFVVhRcvXiAnJwfNzc3dNyKJiYlISkrC0aNHoVar8ejRI6Snp+PQoUOCOMeOHcPly5dRW1uLzZs3o7W1FRs3bgTw6x9SVVUVbt26BbVajfj4eI0b/IFKSEhAZmYmEhMTUVNTgydPnuDcuXOIi4vrd4yQkBDU1tYiOjoaarUa2dnZ3fsid1Vizc3N0dbWhoKCArS0tGg11MvT0xM1NTWCC7SwsDB8/PgRa9asQVVVFerr63HmzBnU1dUNuh3g15C0+/fvY+nSpVrFoeFjJOVq18WSvb09DAwMoKOjA1dXV2RlZfU6PHrt2rWQSCQICgrC48ePcePGDRw8eFBwzMyZMyGRSJCbm4vm5ma0tbUNuH9dFi9ejLa2NsEWl35+fpg6dSpWrVqF0tJSNDQ04NKlSygrKxt0O12Ki4uZk6PQixcvsH37dtTV1eHs2bNITU3Fli1bAADW1tZYt24d/P39kZOTg8bGRlRUVCApKQl5eXkAej7PSKVS6OnpITU1FQ0NDbh27Rp2796tVT/XrVsHExMTrFy5EsXFxWhsbMTdu3cRHh6OV69e9SuGra0tPDw8EBwcjIqKCjx48ADBwcHQ19cXDGE3NzdHQUEB3rx5o1GUGAhTU1M4ODigpKREEHv9+vXYuHEjrly50v09srOzB91OF+bo6Dacc9XV1RWfPn1Cbm6uoPCQlZWFadOmwdrausfPGRgYICAgAJGRkSgsLIRKpcKGDRs0HsKZm5ujqKgITU1NaGlpGXD/uujo6MDDw0OQk+PGjUN0dDSioqKQmZmJZ8+eoby8vHunGW0UFxd374RB9DsWHkYYIyMjFBUVwcvLC9bW1oiLi0NKSgqWLVsGAAgMDMTp06eRnp4OmUwGNzc3ZGRkaDxFVSqVUCqVmDt3LkpKSnDt2rXuJwYhISHw9vaGr68vFi1ahHfv3iE0NFSrfnt6eiI3Nxf5+flYsGABHB0dcfjw4QHtKTxr1ixcvHgROTk5kMvlSEtLQ2xsLABg7NixAAAnJyds2rQJvr6+MDU1xYEDBwbdZ5lMBgcHB8HFkbGxMQoLC9HW1gY3NzfMmzcPp06d6nXNh/64evUqpFIpXFxctIpDw8dIylU3Nzd0dHQIntC4u7trvPY7AwMDXL9+HY8ePYJCoUBsbCz2798vOGb69OlITEzEjh07MGXKFISFhQ24f12MjY2xevVqwdBzPT095OfnY/LkyfDy8oJMJoNSqRzQlJWelJWV4cOHD/Dx8dEqDg0//v7++PLlCxYuXIjNmzdjy5YtCA4O7n4/PT0d/v7+iIiIgI2NDVatWoXKykpIpVIAPZ9nTE1NkZGRgQsXLmD27NlQKpUaRbiBGj9+PIqKiiCVSuHt7Q07OzsEBASgvb0dRkZG/Y6TmZmJKVOmwNXVFatXr0ZQUBAMDQ0F0xxTUlJw+/ZtmJmZaT3KJzAwUGN6SFpaGnx8fBAaGgpbW1sEBQUJthYejPb2dly5cgVBQUFaxaHhazjn6qRJkyCTyWBqagpbW1sAv4oRnZ2dfa5nkpycDBcXF6xYsQIeHh5wdnbGvHnzBMfs2rULz58/h4WFhdbTFgIDA3Hu3DnBtIj4+HhEREQgISEBdnZ28PX11XqUFvBrCihzkv5E8rO3iUE06jx//hyzZs3CgwcPuodEjmR79+7F8ePH8fLlS1Hi5+XlITIyEiqVqt9TQgbD0dER4eHhWLt2rWht0Mgy2nJ1qFRXV2PJkiV49uxZr/N4teXr64u5c+ciJiZGtDbo/+fu7g57e3scOXLkb3flr3n16hXMzMxw586dPheXG4wvX77AxsYG58+fH9BiswOVlpaGy5cvIz8/X7Q26O9hrg6dnz9/YtGiRdi2bRv8/PxEa+fmzZuIiIhAdXU1/vmHywiSJv4qaET5999/sWDBAhgbG6O0tBTJyclaPUHty/Lly1FfX4+mpiaYmZmJ0kZLSwu8vb1FPRkQjRZyuRz79+9HY2OjYHXtofTt2zfIZDJs27ZNlPhE/6euUXoymQyvX79GVFQUzM3N4erqKkp7+vr6yMzM1Gp4eH/o6uoiNTVV1DaIRgOJRIKTJ09qLM481D5//oz09HQWHeiP+MugEaW+vh579uzB+/fvIZVKERERgZ07d4ra5tatW0WNb2JigqioKFHbIBpNNmzYIGp8PT29Aa0/QzScff/+HTExMWhoaIChoSGcnJyQlZWl9RTB3vQ2RWuoBAYGit4G0Whhb28v+uhJTk2kvnCqBRERERERERGJhotLEhEREREREZFoWHggIiIiIiIiItGw8EBEREREREREomHhgYiIiIiIiIhEw8IDEREREREREYmGhQciIiIiIiIiEg0LD0REREREREQkGhYeiIiIiIiIiEg0LDwQERERERERkWj+A9q0zObXtOYYAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1058.88x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(table,hue=\"target\", markers=[\"o\", \"s\", \"D\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01265200",
   "metadata": {},
   "source": [
    "--- end -----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43224a74",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}