diff --git a/notebook.ipynb b/notebook.ipynb
index a9725d0..0ebcf6a 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -60,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 115,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -88,241 +88,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 116,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Loading data\n",
-    "data = pd.read_csv(\"dataset\\dataset.csv\", sep=\"\\t\")"
+    "data = pd.read_csv(\"dataset\\dataset.csv\", sep=\"\\t\")\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 117,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ClientID</th>\n",
-       "      <th>BirthYear</th>\n",
-       "      <th>AcademicLevel</th>\n",
-       "      <th>RelationshipStatus</th>\n",
-       "      <th>AnnualIncome</th>\n",
-       "      <th>ChildrenAtHome</th>\n",
-       "      <th>TeensAtHome</th>\n",
-       "      <th>EnrollmentDate</th>\n",
-       "      <th>LastPurchaseDays</th>\n",
-       "      <th>WineSpending</th>\n",
-       "      <th>...</th>\n",
-       "      <th>WebVisitsMonth</th>\n",
-       "      <th>Campaign3Success</th>\n",
-       "      <th>Campaign4Success</th>\n",
-       "      <th>Campaign5Success</th>\n",
-       "      <th>Campaign1Success</th>\n",
-       "      <th>Campaign2Success</th>\n",
-       "      <th>RecentComplaint</th>\n",
-       "      <th>Z_CC</th>\n",
-       "      <th>Z_R</th>\n",
-       "      <th>LastCampaignResponse</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>5524</td>\n",
-       "      <td>1957</td>\n",
-       "      <td>Graduation</td>\n",
-       "      <td>Single</td>\n",
-       "      <td>58138.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>04-09-2012</td>\n",
-       "      <td>58</td>\n",
-       "      <td>635</td>\n",
-       "      <td>...</td>\n",
-       "      <td>7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>11</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2174</td>\n",
-       "      <td>1954</td>\n",
-       "      <td>Graduation</td>\n",
-       "      <td>Single</td>\n",
-       "      <td>46344.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>08-03-2014</td>\n",
-       "      <td>38</td>\n",
-       "      <td>11</td>\n",
-       "      <td>...</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>4141</td>\n",
-       "      <td>1965</td>\n",
-       "      <td>Graduation</td>\n",
-       "      <td>Together</td>\n",
-       "      <td>71613.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>21-08-2013</td>\n",
-       "      <td>26</td>\n",
-       "      <td>426</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>6182</td>\n",
-       "      <td>1984</td>\n",
-       "      <td>Graduation</td>\n",
-       "      <td>Together</td>\n",
-       "      <td>26646.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10-02-2014</td>\n",
-       "      <td>26</td>\n",
-       "      <td>11</td>\n",
-       "      <td>...</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>5324</td>\n",
-       "      <td>1981</td>\n",
-       "      <td>PhD</td>\n",
-       "      <td>Married</td>\n",
-       "      <td>58293.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19-01-2014</td>\n",
-       "      <td>94</td>\n",
-       "      <td>173</td>\n",
-       "      <td>...</td>\n",
-       "      <td>5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 29 columns</p>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "   ClientID  BirthYear AcademicLevel RelationshipStatus  AnnualIncome  \\\n",
-       "0      5524       1957    Graduation             Single       58138.0   \n",
-       "1      2174       1954    Graduation             Single       46344.0   \n",
-       "2      4141       1965    Graduation           Together       71613.0   \n",
-       "3      6182       1984    Graduation           Together       26646.0   \n",
-       "4      5324       1981           PhD            Married       58293.0   \n",
-       "\n",
-       "   ChildrenAtHome  TeensAtHome EnrollmentDate  LastPurchaseDays  WineSpending  \\\n",
-       "0               0            0     04-09-2012                58           635   \n",
-       "1               1            1     08-03-2014                38            11   \n",
-       "2               0            0     21-08-2013                26           426   \n",
-       "3               1            0     10-02-2014                26            11   \n",
-       "4               1            0     19-01-2014                94           173   \n",
-       "\n",
-       "   ...  WebVisitsMonth  Campaign3Success  Campaign4Success  Campaign5Success  \\\n",
-       "0  ...               7                 0                 0                 0   \n",
-       "1  ...               5                 0                 0                 0   \n",
-       "2  ...               4                 0                 0                 0   \n",
-       "3  ...               6                 0                 0                 0   \n",
-       "4  ...               5                 0                 0                 0   \n",
-       "\n",
-       "   Campaign1Success  Campaign2Success  RecentComplaint  Z_CC  Z_R  \\\n",
-       "0                 0                 0                0     3   11   \n",
-       "1                 0                 0                0     3   11   \n",
-       "2                 0                 0                0     3   11   \n",
-       "3                 0                 0                0     3   11   \n",
-       "4                 0                 0                0     3   11   \n",
-       "\n",
-       "   LastCampaignResponse  \n",
-       "0                     1  \n",
-       "1                     0  \n",
-       "2                     0  \n",
-       "3                     0  \n",
-       "4                     0  \n",
-       "\n",
-       "[5 rows x 29 columns]"
+       "Index(['ClientID', 'BirthYear', 'AcademicLevel', 'RelationshipStatus',\n",
+       "       'AnnualIncome', 'ChildrenAtHome', 'TeensAtHome', 'EnrollmentDate',\n",
+       "       'LastPurchaseDays', 'WineSpending', 'FruitSpending', 'MeatSpending',\n",
+       "       'FishSpending', 'SweetSpending', 'GoldSpending', 'DiscountedPurchases',\n",
+       "       'WebPurchases', 'CatalogPurchases', 'StorePurchases', 'WebVisitsMonth',\n",
+       "       'Campaign3Success', 'Campaign4Success', 'Campaign5Success',\n",
+       "       'Campaign1Success', 'Campaign2Success', 'RecentComplaint', 'Z_CC',\n",
+       "       'Z_R', 'LastCampaignResponse'],\n",
+       "      dtype='object')"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 117,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# Looking at the first five rows\n",
-    "data.head(5)"
+    "data.columns"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 118,
    "metadata": {},
    "outputs": [
     {
@@ -534,7 +339,7 @@
        "[5 rows x 29 columns]"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 118,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -552,7 +357,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 119,
    "metadata": {},
    "outputs": [
     {
@@ -851,7 +656,7 @@
        "[8 rows x 26 columns]"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 119,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -862,7 +667,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 120,
    "metadata": {},
    "outputs": [
     {
@@ -924,7 +729,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 121,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -933,7 +738,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 122,
    "metadata": {},
    "outputs": [
     {
@@ -971,7 +776,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 122,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -989,7 +794,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 123,
    "metadata": {},
    "outputs": [
     {
@@ -1006,7 +811,7 @@
        "Name: AnnualIncome, dtype: float64"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 123,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1017,7 +822,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 124,
    "metadata": {},
    "outputs": [
     {
@@ -1026,7 +831,7 @@
        "7500.0"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 124,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1038,7 +843,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 125,
    "metadata": {},
    "outputs": [
     {
@@ -1078,7 +883,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 126,
    "metadata": {},
    "outputs": [
     {
@@ -1464,7 +1269,7 @@
        "[2240 rows x 29 columns]"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 126,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1476,7 +1281,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 127,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1485,7 +1290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 128,
    "metadata": {},
    "outputs": [
     {
@@ -1537,7 +1342,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 129,
    "metadata": {},
    "outputs": [
     {
@@ -1551,7 +1356,7 @@
        "Name: EnrollmentDate, dtype: object"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 129,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1569,7 +1374,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 130,
    "metadata": {},
    "outputs": [
     {
@@ -1594,7 +1399,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 131,
    "metadata": {},
    "outputs": [
     {
@@ -1608,7 +1413,7 @@
        "Name: EnrollmentDate, dtype: datetime64[ns]"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 131,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1626,7 +1431,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 132,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1657,7 +1462,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 133,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1668,7 +1473,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 134,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1680,7 +1485,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 135,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1691,7 +1496,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 136,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1701,7 +1506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 137,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1712,7 +1517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 138,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1722,7 +1527,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 139,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1732,7 +1537,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 140,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1745,7 +1550,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 141,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1755,7 +1560,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 142,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1765,7 +1570,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 143,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1775,7 +1580,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 144,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1791,7 +1596,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 145,
    "metadata": {},
    "outputs": [
     {
@@ -1996,7 +1801,7 @@
        "[5 rows x 36 columns]"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 145,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2014,13 +1819,509 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 146,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Plots For The Engineered Features"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Engineered features  :- ['Age', 'TotalSpent', 'Children',\n",
+    "       'CustomerSince', 'TotalPurchases', 'TotalSuccessfulCampaignsSuccess',\n",
+    "       'Is_Parent' ,'AnnualIncome' ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1, 2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['Age'], ax=axes[1],  palette='Set3', orient  = 'h')  # Corrected line\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "91.14640479922893 19.24198805791393\n",
+      "number of outliers: 3 ,Outliers are effectively capped\n"
+     ]
+    }
+   ],
+   "source": [
+    "upper_limit = data['Age'].mean() + 3*data['Age'].std() \n",
+    "lower_limit = data['Age'].mean() - 3*data['Age'].std()\n",
+    "x = data[(data['Age']>upper_limit) | (data['Age']<lower_limit)]\n",
+    "data['Age'] = np.where(data['Age'] > upper_limit,upper_limit, \n",
+    "                              np.where(data['Age'] < lower_limit,lower_limit , data['Age'] ))\n",
+    "print(upper_limit ,lower_limit) \n",
+    "print('number of outliers:',x.shape[0] ,',Outliers are effectively capped')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig,axes = plt.subplots(1,2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['Age'], ax=axes[1] ,orient ='h',palette = 'Set3')\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1,2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['TotalSpent'], ax=axes[1] ,orient ='h',palette = 'Set3')\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2412.5460783186177 -1200.9496497471891\n",
+      "number of outliers : 5 , Outliers are effectively capped\n"
+     ]
+    }
+   ],
+   "source": [
+    "upper_limit = data['TotalSpent'].mean() + 3*data['TotalSpent'].std() \n",
+    "lower_limit = data['TotalSpent'].mean() - 3*data['TotalSpent'].std()\n",
+    "x = data[(data['TotalSpent']>upper_limit) | (data['TotalSpent']<lower_limit)]\n",
+    "data['TotalSpent'] = np.where(data['TotalSpent'] > upper_limit,upper_limit, \n",
+    "                              np.where(data['TotalSpent'] < lower_limit,lower_limit , data['TotalSpent'] ))\n",
+    "print(upper_limit ,lower_limit )\n",
+    "print('number of outliers :',x.shape[0] , ', Outliers are effectively capped')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1,2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['TotalSpent'], ax=axes[1] ,orient ='h',palette = 'Set3')\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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tTgMAAAAA6CpKKSAEFFa2LN3LTo62OIn1Yp0RyurVstF7zODJFqcBAAAAAHQVpRQQ5EzTVEHFwVIqqWcv3Ws16OBsqZghlFIAAAAAEKoopYAgV1XfpJqGZtkMKasXM6UkadDBfaWcfYerst5rcRoAAAAAQFdQSgFBrvDgflIZiVGKjOBbVpLioxxKjvTJMGz6dF+D1XEAAAAAAF3AT7hAkCs8uHQvh6V77fSJ8UmSVu2llAIAAACAUEQpBQQx0zS/sck5pdQ3tZZSG8s8Knc3WpwGAAAAANBZlFJAEHO5PWpo8slhN5SeEGV1nKASGyE1Fm+Xz5QWbyqxOg4AAAAAoJMopYAg1nrVvT69omW3GRanCT51Wz6WJL29odjiJAAAqWWG7+H+DAA9nWmaamxsVGNjI/8+At9AKQUEMZbuHV1rKbVyu0tVdU0WpwEAeDyetj+bXq6OCgCtPB6P5s2bp3nz5rX7txLo6SilgCDl9Znad/DKe9lscn5YzZX7lZsYoWafqcX5LOEDAAAAgFASYXUAAIdXXNWgZp+paIddqXGRRzwuPz/fb6/pz7EC5eS+UdpT5da7G4p0yfi+VscBAAAAAHQQpRQQpAralu5FyzAO3U+quqJMkjR79my/v7bb7fb7mN3lpL5RemmjWx9sdammoUnxUQ6rIwEAAAAAOoBSCghShRVH30+q3l0tSZp19Z0aMnq8X14z/7MVeueZP6ihocEv4wVCdkKEBvaO1Y6yWi3bXKoLxvaxOhIAAAAAoAMopYAg5Gn2qaS6pRjKOcZ+UilZueqbN8Ivr1tSsMMv4wSSYRiaOTJTj72/XW99VUQpBQAAAAAhgo3OgSC070C9fKaUGO1QQjTL0Y5l1uhMSdLyrWWqqucqfAAAAAAQCiilgCBU0Lp0Lyna4iShYWhGvAanx8nT7NOijcVWxwEAAAAAdAClFBCECiuPvp8U2jMMQ+ePyZIkvfHlfovTAAAAAAA6glIKCDK1jc0qd3skSdnH2E8KXzvvYCn18XaXymoaLU4DAAAAADgWSikgyOytrJck9Y5zKjrSbnGa0JGbEqsx2b3kM6W3vmK2FAAAAAAEO0opIMh8vXSP/aQ6q3UJ30KW8AEAAABA0KOUAoKIaZpfb3LOflKddt7oTBmG9HnBARUePI8AAAAAgOBEKQUEkar6JtU0NMtmSH16MVOqs9ISonTygBRJzJYCAAAAgGBHKQUEkcKKlv2kMhOj5bDz7dkVXIUPAAAAAEIDP/UCQaRtP6kkZkl11cyRmXLYDW0urtGW4hqr4wAAAAAAjoBSCggSpml+Y5Nz9pPqqsQYh04fnCZJWvjlPovTAAAAAACOhFIKCBJl7kY1NPnksBtKT4iyOk5IO39s6xK+IpmmaXEaAAAAAMDhUEoBQaJ1P6k+vaJltxkWpwlt04elKdphV0FFndYVHrA6DgAAAADgMCilgCBRWMHSPX+JiYzQWcPTJUmvr2PDcwAAAAAIRpRSQBDw+kztO9AyUyqHUsovLhrXR5K08Mv98jT7LE4DAAAAAPg2SikgCBRXNajZZyraYVdKbKTVccLCqXmpSot3qqLWo2WbS62OAwAAAAD4FkopIAgUtC3di5ZhsJ+UP0TYbbrohJbZUv9ZW2hxGgAAAADAt1FKAUGgsJL9pLrD98b3lSS9v6VMZTWNFqcBAAAAAHwTpRRgscZmr4qrGyRJOUmUUv40KC1eY7N7yesz9doX+6yOAwAAAAD4BkopwGL7DtTLNKXEaIcSoh1Wxwk7lxycLfWftXtlmqbFaQAAAAAArSilAIsVVrRcdS87KdriJOHpvDFZckbYtKWkRusKD1gdBwAAAABwEKUUYLHCg5uc57CfVLdIjHZo1qhMSdKLnxVYnAYAAAAA0IpSCrBQbWOzyms9kqS+7CfVbX4wKUeS9MaXRapuaLI4DQAAAABAopQCLLW3smXpXu84p6Ij7RanCV8TcpOUlxan+iYvG54DAAAAQJCglAIsVHBw6V52MvtJdSfDMHT5wdlSL3xawIbnAAAAABAEKKUAi5imqcLK1lKKpXvd7eJxfeWMsGlzcY0+LzhgdRwAAAAA6PEopQCLVNU3qaahWTZD6tOLmVLdLTHGoVmjWzY8/+cneyxOAwAAAACglAIsUljRsp9UZmK0HHa+FQNhzsn9JElvflWksppGa8MAAAAAQA/HT8KARdqW7iUxSypQxmT30tjsXvJ4fXrxswKr4wAAAABAj0YpBViA/aSs8/+m9JMkPf/JHnmafdaGAQAAAIAejFIKsECZu1ENTT457IbSE6KsjtOjzByZqd7xTpXWNOqdDUVWxwEAAACAHotSCrBA635SfXpFy24zLE7Ts0RG2DR7Uq4k6amPd1sbBgAAAAB6MEopwAKFFS1L93JYumeJyyflKNJu07rCA1q7p8LqOAAAAADQI1FKAQHW7PNp34GWmVLsJ2WN3vFOXTSujyTpzyt2WpwGAAAAAHomSikgwIqrGtTsMxXtsCslNtLqOD3WT04bIElanF+i7aVui9MAAAAAQM8TYXUAoKdp3U8qOzlahsF+UlYZlBan6cPStSS/RH/7cKd++93RVkfqtIKCArlcLr+OmZqaqpycHL+OCQAAAACHQykFBFhhZct+Uizds941pw/QkvwSvfL5Ps07a7DSQuhKiAUFBRo6bJjq6+r8Om50TIw25+dTTAEAAADodpaWUh988IHuv/9+rV27VkVFRXr11Vd14YUXtj1+5ZVX6plnnmn3nEmTJumTTz5p+7qxsVG33nqrXnzxRdXX12vatGl64okn1Ldv30D9NYAOa/JJxdUNkqScJEopq03ol6wTcnrp84ID+vvHu3THzGFWR+owl8ul+ro6XXH7/UrPGeiXMUsKduifv/uZXC4XpRQAAACAbmdpKVVbW6sxY8bo//2//6fvfve7hz3mnHPO0VNPPdX2dWRk+z145s6dqzfeeEMvvfSSUlJSdMstt+g73/mO1q5dK7vd3q35gc5yNRoyTSkx2qGEaIfVcSDpuqmD9ONn1+i5VXt09WkDlRxi+3yl5wxU37wRVscAAAAAgE6ztJSaOXOmZs6cedRjnE6nMjIyDvtYVVWV/v73v+u5557T9OnTJUnPP/+8srOztWTJEp199tl+zwwcj9KGlmsLZCdFW5wEraYNS9PwzARtKqrWPz7apVvPHmJ1JAAAAADoEYL+6nvLly9XWlqaBg8erJ/85CcqLS1te2zt2rVqamrSjBkz2u7LysrSyJEjtXLlSiviAkdV2tCysTn7SQUPwzB007Q8SdLTK3erqq7J4kQAAAAA0DMEdSk1c+ZM/fOf/9SyZcv04IMPavXq1TrzzDPV2NgoSSouLlZkZKSSkpLaPS89PV3FxcVHHLexsVHV1dXtbkB3s8elqLqp5Vsuh1IqqMwYnq6hGfFyNzbrHx/vsjoOAAAAAPQIQV1KXXbZZZo1a5ZGjhyp8847T++88462bt2qt95666jPM01ThmEc8fEFCxYoMTGx7Zadne3v6MAhovqNlSSlJzgV5WC/s2Bisxm68cyW2VL/+HgXs6UAAAAAIACCupT6tszMTOXm5mrbtm2SpIyMDHk8HlVWVrY7rrS0VOnp6Ucc54477lBVVVXbrbCwsFtzA5IU3X+cJCk3OdbiJDicmSMzNDQjXjUNzfrzBzusjgMAAAAAYS+kSqny8nIVFhYqMzNTkjR+/Hg5HA4tXry47ZiioiJt2LBBkydPPuI4TqdTCQkJ7W5Ad/KZpqL6tZRSLN0LTjaboVtmtGxy/tTHu1VW02hxIgAAAAAIb5aWUm63W+vWrdO6deskSbt27dK6detUUFAgt9utW2+9VatWrdLu3bu1fPlynXfeeUpNTdVFF10kSUpMTNRVV12lW265RUuXLtUXX3yh2bNna9SoUW1X4wOCwa4DzbLHJCrCMJWRGGV1HBzB9GFpGpvdS/VNXj3+/nar4wAAAABAWLO0lFqzZo3GjRunceNaZpDMmzdP48aN0y9/+UvZ7XatX79eF1xwgQYPHqw5c+Zo8ODBWrVqleLj49vGePjhh3XhhRfq0ksv1ZQpUxQTE6M33nhDdjt79iB4fFncMuumd5Qpu+3I+53BWoZh6LazW2ZLvfBpgfZW1lmcCAAAAADCV4SVLz516lSZpnnExxctWnTMMaKiovToo4/q0Ucf9Wc0wK/WlbSUUulRPouT4FgmD0rVlEEp+nh7uR5YtEWPfH+c1ZECLj8/3+9jpqamKicnx+/jAgAAAAhdlpZSQE9Q52nWZpdHkpRGKRUS7pg5TOc99pFeW7dfcyb307icJKsjBUR1RZkkafbs2X4fOzomRpvz8ymmAAAAALShlAK62ac7K9Tsk5oOFCsuO9nqOOiAkX0S9d0T+uo/a/fq3jc36ZVrJ8swwn/ZZb27WpI06+o7NWT0eL+NW1KwQ//83c/kcrkopQAAAAC0oZQCutmKrS2zTxp2fSFj9DSL06Cjfnb2EL29vkhfFBzQwi/364KxfayOFDApWbnqmzfC6hgAAAAAwhylFNDNPtzWUkrV7/5cEqWUv/l7/6PWvY/SE6J07ekD9eDirfrdO5t19ogMRTm4gAIAAAAA+AulFNCN9h2o146yWtkMqWHPV1bHCSvdtf/RN/c++slpA/TiZwXaX9Wgv324UzecmefX1wIAAACAnoxSCuhGHx2cJZWX7NCuxlqL04SX7tj/6Nt7H0U57Lp95lDd/NI6PbF8h743IVvpCVF+eS0AAAAA6OkopYBu9ME2lyRpTLpT71mcJVx19/5H54/J0tMrd+uLggN6YNEW3f+9Md32WgAAAADQk9isDgCEK6/P1MfbW0qpsRlOi9OgqwzD0F3fGS5J+s/ne/XV3gPWBgIAAACAMEEpBXSTDfuqdKCuSfHOCOUlO6yOg+NwQk6SLhybJdOU/u/V9Wr2+qyOBAAAAAAhj1IK6CatV92bPChFdpthcRocr/+bNUwJURHasK9az6zaY3UcAAAAAAh5lFJAN1mxtaWUOjWvt8VJ4A9p8VH6+cxhkqQH39uifQfqLU4EAAAAAKGNUgroBgfqPFq7p1KSdMbQNIvTwF++PzFbE3KTVOfx6u7XN8g0TasjAQAAAEDIopQCusGKrWXymdKQ9Hj16RVtdRz4ic1m6L6LRynCZmhJfqkWbSy2OhIAAAAAhCxKKaAbvL+5VBKzpMLR4PR4XX36AEnS3Qs3qqahyeJEAAAAABCaKKUAP/P6TC0/uJ/UmZRSYenGM/OUmxKjkupGPbBoi9VxAAAAACAkUUoBfvZFQaUO1DUpMdqhE3J6WR0H3SDKYddvLhwlSXr2kz1t+4cBAAAAADqOUgrws2UHl+6dNri3Iux8i4WrU/JSdfG4PjJN6Wf//lL1Hq/VkQAAAAAgpPATM+BnraXUmUN7W5wE3e3u80YoLd6pna5aPfAey/gAAAAAoDMopQA/2n+gXpuLa2QY0umD2U8q3CXGOPS7746WJP3j4136bFeFxYkAAAAAIHRQSgF+tCS/RJJ0Qk6SkmMjLU6DQDhjaJoundBXpinNe3mdqrkaHwAAAAB0CKUU4EeLN7WUUjOGp1ucBIF013eGKzs5Wnsr6/WLVzfINE2rIwEAAABA0KOUAvykqr5Jq3aUS5LOopTqUeKjHHrksnGy2wwt/HK/Xv1in9WRAAAAACDoUUoBfrJ8S6mafaYGpcVpQO84q+MgwMbnJmnutDxJ0l2vbdAuV63FiQAAAAAguFFKAX7C0j1cd8Ygndg/WbUer659fq3qPV6rIwEAAABA0KKUAvygsdmr5VvKJLF0ryez2ww9+oNxSo1zanNxje58dT37SwEAAADAEVBKAX7wyc4KuRublRbv1Ji+vayOAwulJ0Tp0R+Mk82QXvlin57/tMDqSAAAAAAQlCilAD94b2OxJGn68HTZbIbFaWC1kwem6LZzhkqS5i/cqI+2uSxOBAAAAADBh1IKOE5en6lFG1v2kzp7RIbFaRAsrj5tgC4a10den6lr/7lW20trrI4EAAAAAEElwuoAQKj7bFeFXO5G9YpxaPLAFKvjIEgYhqHffneUCivqtGZPpf7f06v132smKy0hyupoh1Xb2KwyJajX6VdqQ2OSNnyyRx6vT81eUzZDio60K9YZod5xTmUkRimrV7SiHXarYwMAAAAIYZRSwHF6e32RpJar7jnsTD7E15wRdv35h+N10RMrVVBRpyv+9qle+t+TlBLntDqaJKmi1qOtJTXaXupWea1HUh8lnnSJyr2Saj3tjq31eOVye7SnvE6SZDOknOQYDcmIV15avOwsWwUAAADQSV0qpQYMGKDVq1crJaX9rJADBw7ohBNO0M6dO/0SDgh2Xp+pdza07Cd17qhMi9MgGKXEOfX8VZN06Z9XaVupWz/8+2d68ScnKTHGYUmeJq9PW0tqtH5flUqqG9s9FqsGFX++ROMmnaKRI4bL6bArwmbI5zNV1+RVTUOzSqobVFTVoIpaj3aX12l3eZ0+3l6uCf2SNCIzQREUswAAAAA6qEul1O7du+X1eg+5v7GxUfv27TvuUECoWLO7ZeleQlSEJg9MtToOglROSoz++ZNJuuzPq7SpqFqX/WWVnv5/JyojMXBL+eo8zfqysEpf7j2gxmafpK9nOw1Oj1e/lFht+vAt/XPxn9TnlBOUmxJ72HFG9UmU1DLLaktJjTbuq5K7sVnLt5Tp8z2VOnNo2hGfCwAAAADf1KlSauHChW1/XrRokRITE9u+9nq9Wrp0qfr16+e3cECwa1u6NyJDkRHMEMGRDewdp3/++CTN/vun2lxco4uf+FhP/+hEDU6P79bXrapv0ud7KrWxqFpenylJSoiK0Kg+iRqelaCYyK6t4k6OjdTJA1I0MTdJG/dXa/WeClU3NOu1dfs1JD1eU4f0VhR7TgEAAAA4ik79NHLhhRdKatnAd86cOe0eczgc6tevnx588EG/hQOCme8bS/dmsXQPHTAkI16vXDtZc576TDvLavXdJ1bqNxeP0vljsvz+WqXVDVpbUKltpW6ZLV2U0hOcmpCbrAG9Y2Uz/LMHVITdpjHZvTQsM0Grdpbry8ID2lJSo6Kqes0alRm0G7sDAAAAsF6nSimfr2XJR//+/bV69WqlprJcCT3Xp7sqVFrTsnRvyiC+F9Ax2ckx+u81k3X1c2v12e4K3fTiF1qxpUx3nz9cCVHHt8+UaZra5arV5wUHtO9Afdv9uckxGp+bpL5J0TL8VEZ9W2SETacP7q0hGfF6d0Oxquqb9PLavTpzaJoSuuUVAQAAAIS6Lq3b2LVrl79zACHntS9a9k87d1QmS/fQKUmxkXrhJ5P0x6Xb9Nj72/Xfz/dq2eYS3Xhmnq44KUfOiM4te2to8mpLSY3WFR7QgbomSS37ReWlx+uEnF5Kiw/cbKWMhCh9f2K23ttUol2uWi3eVKKRiXx/AAAAADhU1zYTkbR06VItXbpUpaWlbTOoWv3jH/847mBAMGto8urtDS37SV0wto/FaRCKIuw2zZsxRFMGpeqOV9drZ1mt7n1zk/60YocuHNdHF47to6EZ8bLZDp3ZZJqmit3Niht9llaWRaikcKcObhelyAibRvVJ1Ji+iYo/zplXXRXlsOu80Zn6eEe51u6p1IaqCCWdcZV8resIAQAAAEBdLKXuuece3XvvvZowYYIyMzO7bTkIEKyWbylVTUOzMhOjNKl/stVxEMImDUjRe3NP08tr9uqRJVtVWtOov3ywU3/5YKfinBEamhGvjMQoRdpt8pqm9lXWa09FncpqGpUy82YVHVyllxoXqRFZiRqemRAUM/cMw9Apg1IVE2nXh9tcSjjxIj21rlrjTzD5bwYAAAAASV0spf70pz/p6aef1g9/+EN/5wFCwmtf7JcknT8267AzWYDOiLDbdPmkHH13fB+9v7lMr36xV+9vKZO7sVlr9lQe9jl2Q6ot3Kixw4dq/LD+So1zBjh1x5yQk6S68mKtrYjQW9vqlLd0m+ZOH2x1LAAAAABBoEullMfj0eTJk/2dBQgJVfVNWra5VJJ0IUv34EfOCLvOGZmhc0ZmqMnr086yWm0qqlJlbZOafT4ZMpTZK0rZSTFy79+uU076jkY8/krQFlKt+sX5tPhff1LyWdfokSXblBjt0P+b0t/qWAAAAAAs1qVS6sc//rFeeOEF3XXXXf7OAwS9d9YXyeP1aUh6vIZlcl0xdA+H3aYhGfEakhF/2Mc/L7N+iV5n1Hz+pq7/6a16cYNb9765Sf1SYnXG0DSrYwEAAACwUJdKqYaGBv3lL3/RkiVLNHr0aDkc7TfTfeihh/wSDghG//18ryTpgnFZFicBQsslw+KkmCS9+FmhbnrxC71y3WTlpR++dAMAAAAQ/rpUSn311VcaO3asJGnDhg3tHmMDW4SzHWVurd5dKZshffeEvlbHAUKKYRi65/yR2lFWq892VejHz67RwutPUWKMNVcJBAAAAGCtLpVS77//vr9zACHh32taZklNHZKm9IQoi9MAoScywqYnrzhBFzz+sfaU1+n2/36lJ2efwC80AAAAgB6oS6UU0BM1e31tS/cunZBtcRqEmoKCArlcLr+Nl5+f77exAi0lzqknrxivi5/8WO9uLNbznxbohyflWh0LCClPPPGE7r//fhUVFWnEiBF65JFHdOqpp1odCwAAhIDrr7++7c+PP/64hUm6WEqdccYZR/2t9rJly7ocCAhWy7eUqaymUSmxkTqTDZrRCQUFBRo6bJjq6+r8Prbb7fb7mIEwqm+ibj9nqH79Vr5+9eYmTchN4sIBQAf961//0ty5c/XEE09oypQp+vOf/6yZM2dq06ZNysnJsToeAAAIYrfccsshXz/44IMWpeliKdW6n1SrpqYmrVu3Ths2bNCcOXP8kQsIOv9aUyhJuviEPoqMCK0rn8FaLpdL9XV1uuL2+5WeM9AvY+Z/tkLvPPMHNTQ0+GU8K1x1Sn+t3FGuZZtLNfeldVp44xQ5I+wdfr6/Z59JUmpqKj/UI+g99NBDuuqqq/TjH/9YkvTII49o0aJFevLJJ7VgwQKL0wEAgGD27Z8frP55okul1MMPP3zY++fPnx+yv7UHjqakukHLNpdKkr7H0j10UXrOQPXNG+GXsUoKdvhlHCsZhqH7LxmtGQ9/oC0lNXp82XbNmzGkQ8/trtln0TEx2pyfTzGFoOXxeLR27Vr9/Oc/b3f/jBkztHLlSotSAcHJNM22P3s8HjU2NlqYBj3dN99/33xvAoH0zWV7377fqmV8ft1Tavbs2TrxxBP1wAMP+HNYIKAON/vi5Y018vpMDUlxyL1vmz7f17kxQ3n/H6A7pcQ5de8FI3X9C5/rieU7dPbIDI3ISjzm87pj9llJwQ7983c/k8vlopRC0HK5XPJ6vUpPT293f3p6uoqLiw/7nMbGxnY/DFVXV3drRiBYmF5v25/vvvtuC5MA7Xk8HkVFcdEkBNbq1auP+fjEiRMDlOZrfi2lVq1axTcXQtphZ1/Y7OpzzT8UEZ+ij566T+NvW9Hl8ZlJCBxq1uhMvflVht7ZUKyf/fsrvX7DFDnsHVsi68/ZZ0Ao+fbenqZpHnG/zwULFuiee+4JRCwAABCknn766WM+HjKl1MUXX9zua9M0VVRUpDVr1uiuu+7ySzDACoebfbGvztAnLoecNlM/uf5m2Y2bOz1uOOz/A3Sney8YqVU7y7WpqFrPrNytH586wOpIQFBKTU2V3W4/ZFZUaWnpIbOnWt1xxx2aN29e29fV1dXKzmYpOsKfYf96n8J77rlH8fHxFqZBT9fY2Kg77rhDkhQZGWlxGvREV1555VGLqSuvvDJgWb6pS6VUYmL7pRU2m01DhgzRvffeqxkzZvglGGClb86++PTzvZLqNTonWbkDU7s0Xjjs/wN0p97xTv38nKH6+Svr9ciSbTp/TJbSEph5C3xbZGSkxo8fr8WLF+uiiy5qu3/x4sW64IILDvscp9Mpp9MZqIhA0Pjm7MHIyEi+DxA0jnYle6C7TJw48aillBWzpKQullJPPfWUv3MAQami1qO9lfUyJI3sc+x9bgB03aUTsvXi6kJ9WXhAC97ZrIcvG2t1JCAozZs3Tz/84Q81YcIEnXzyyfrLX/6igoICXXPNNVZHAwAAQezxxx8/7GbnVm1yLh3nnlJr165Vfn6+DMPQ8OHDNW7cOH/lAoLCl4UHJEkDescqIcphbRggzNlshn51wQhd8PjHevWLffrBiTk6sX+y1bGAoHPZZZepvLxc9957r4qKijRy5Ei9/fbbys3NtToaAAAIclFRUe22lbF6X/CO7ST7LaWlpTrzzDM1ceJE3XTTTbrhhhs0fvx4TZs2TWVlZf7OCFiivsmrTUUtVyga07eXtWGAHmJ03176/sSWK9/d++ZG+XxcMhk4nOuuu067d+9WY2Oj1q5dq9NOO83qSAAAIAQ8+OCDR/060LpUSt14442qrq7Wxo0bVVFRocrKSm3YsEHV1dW66aab/J0RsMT6vVVq9pnqHe9U36Roq+MAPcatMwYrzhmhDfuq9cZX+62OAwAAAISVxx9/vO1mtS6VUu+++66efPJJDRs2rO2+4cOH6/HHH9c777zjt3CAVbym9OXeA5KkE3J6sRkhEEApcU5dO7Xl6pf3L9qixmavxYkAAAAAdIculVI+n08Ox6H76zgcDvl8vuMOBVitsNamOo9Xcc4I5aVx+WAg0H40pb/SE5zaW1mv51btsToOAAAAgG7QpVLqzDPP1M0336z9+79eVrFv3z799Kc/1bRp0/wWDrCGoW01Ld8aY7N7yW5jlhQQaNGRdv10+mBJ0mPvb1d1Q5PFiQAAAAD4W5dKqccee0w1NTXq16+fBg4cqEGDBql///6qqanRo48+6u+MQEBFDzpR1U02RdptGtknweo4QI91yfi+GpQWpwN1TXr6491WxwEAAADgZxFdeVJ2drY+//xzLV68WJs3b5Zpmho+fLimT5/u73xAQJmmqcTJl0mSxmQnyhlhtzgR0HNF2G26aVqebnrxC/3tw526cko/JUQdunQcAAAAQGjq1EypZcuWafjw4aqurpYknXXWWbrxxht10003aeLEiRoxYoQ+/PDDbgkKBMK6Eo+cmYNlN0yNze5ldRygx5s1KlOD0uJU3dDMbCkAAAAgzHSqlHrkkUf0k5/8RAkJhy5pSkxM1NVXX62HHnrIb+GAQDJNU//eVCNJGhDnU0xklyYSAvAju83QTdPyJEl//2gXe0sBAAAAYaRTP3V/+eWX+t3vfnfEx2fMmKEHHnjguEMBVvhkZ4U2u5pkNnuUxwX3erT8/PygHq+nmTUqU39cuk3bS9165uPduvFgSQUAAAAgtHWqlCopKZHDceT9PCIiIlRWVnbcoYBAM01TDy/eKklyf/WeogfMsDgRrFBd0fLv1+zZs7tlfLfb3S3jhju7zdCNZw7SzS+t01Mrd+snpw2wOhIAAAAAP+hUKdWnTx+tX79egwYNOuzjX331lTIzM/0SDAikD7a59NnuCjlsUtWqf0sXUkr1RPXulv3yZl19p4aMHu+3cfM/W6F3nvmDGhoa/DZmTzNrVKbuX7RFeyvr9e+1ezUi0upEAAAAAI5Xp0qpc889V7/85S81c+ZMRUVFtXusvr5ed999t77zne/4NSDQ3UzT1IPvbZEknTMoVo+5yy1OBKulZOWqb94Iv41XUrDDb2P1VBF2m358Sn/Nf2OT/vrBTj145qF7GwIAAAAILZ3a6PwXv/iFKioqNHjwYP3+97/X66+/roULF+p3v/udhgwZooqKCt15553dlRXoFu9tKtFXe6sUE2nXRUNjrY4D4AgunZitXjEOFVTU6dN9zDoDAAAAQl2nZkqlp6dr5cqVuvbaa3XHHXfINE1JkmEYOvvss/XEE08oPT29W4IC3cHrM/XQey17Sf1oSn/1iqq1OBGAI4mJjND/nNxPf1y6Ta9u5nsVAAAACHWdvuZ9bm6u3n77bVVWVmr79u0yTVN5eXlKSkrqjnxAt/rv2r3aUlKjxGiHfnLqAO3YvN7qSACOYs7Jufrzih3aUdkkZ5/hVscBAAAAcBw6XUq1SkpK0sSJE/2ZBQioeo9XDy5u2UvqxjMHKTHmyFeWBBAcUuKcunBsH/1rTaHix7OHIQAAABDKulxKAcGgoKBALperS8/9z6YalVQ3Ki3WrlFRlfr888+Vn5/v54QA/G3O5H7615pCxQyZorpmr9VxAAAAAHQRpRRCVkFBgYYOG6b6urpOP9cWk6g+//tX2Zwx2vjiAp30yw/aPe52u/0VE4CfDc9K0PDekdpU5tEutzTY6kAAAAAAuoRSCiHL5XKpvq5OV9x+v9JzBnbquWvL7dpda1evSJ8uvn6uDGOuJCn/sxV655k/qKGBK3sBwWxWXow2lXm0021Ts9enCHunLiYLAAAAIAhQSiHkpecMVN+8ER0+vqiqXrsL9kqSzhqVo6xe0W2PlRTs8Hs+AP53YlaUmqtLpYQ0bS11a3hmgtWRAAAAAHQSv1pGj+IzTS3fUiZJGpYZ366QAhA67DZDNV+8I0lav7fK4jQAAAAAuoJSCj3Khn1VKq1pVGSETacMSrU6DoDj4F6/WIZMFVc3qKym0eo4AAAAADqJUgo9Rp2nWSt3lEuSJg9IUUwkq1eBUOarPaCsaFOStHE/s6UAAACAUEMphR7j4+3lamz2qXe8U6P6JlodB4Af9I/zSpLyi2vU5PVZnAYAAABAZ1BKoUcoqqrXpqJqSdIZQ3rLZhgWJwLgD2lRphKiIuRp9mlbqdvqOAAAAAA6gVIKYc9nmnr/4ObmwzMTlJnI5uZAuDAMaWSflpmPG/axhA8AAAAIJZRSCHvr91WprKZRzgibpgxKsToOAD8bnpkgmyEVVTWootZjdRwAAAAAHUQphbBW52nWqoObm588kM3NgXAU64xQv5RYSWpbpgsAAAAg+FFKIay129y8D5ubA+FqWGaCJGlzUbV8PtPiNAAAAAA6glIKYYvNzYGeo39qrKIcNtV6vCqoqLM6DgAAAIAOoJRCWPKZpt7fzObmQE9htxkamt4yW4olfAAAAEBooJRCWFq/t0plbjY3B3qSYVnxkqSdZbVqaPJanAYAAADAsVBKIezUeZq1cmfL5uaT2dwc6DF6xzmVGhcpr2lqa0mN1XEAAAAAHAOlFMLOR9td8jT7lBbv1Eg2Nwd6DMMwvt7wvJhSCgAAAAh2lFIIK/sP1Cu/qOWH0alsbg70OIPTW5bwFVU1qLq+yeI0AAAAAI6GUgphw+cztXxLy+bmI7LY3BzoieKcEeqb1PK9v5klfAAAAEBQo5RC2Fi/7+vNzScPZHNzoKcamtEyW2pLcY1M07Q4DQAAAIAjsbSU+uCDD3TeeecpKytLhmHotddea/e4aZqaP3++srKyFB0dralTp2rjxo3tjmlsbNSNN96o1NRUxcbG6vzzz9fevXsD+LdAMKhtZHNzAC0GpcXJbjNUUeuRy+2xOg4AAACAI7C0lKqtrdWYMWP02GOPHfbx3//+93rooYf02GOPafXq1crIyNBZZ52lmpqvl2TMnTtXr776ql566SV99NFHcrvd+s53viOvl8uB9yQf72BzcwAtnBF29U+JlSRtLq62OA0AAACAI7F0OsnMmTM1c+bMwz5mmqYeeeQR3Xnnnbr44oslSc8884zS09P1wgsv6Oqrr1ZVVZX+/ve/67nnntP06dMlSc8//7yys7O1ZMkSnX322QH7u8A6rkZD+Qf3jjljSBqbmwPQkIx4bS9za2uJW6cMSpXBvwsAAABA0AnaPaV27dql4uJizZgxo+0+p9Op008/XStXrpQkrV27Vk1NTe2OycrK0siRI9uOOZzGxkZVV1e3uyFEGTatq7BLatncPCMxyuJAAIJBv9QYRdptcjc2q6iqweo4AAAAAA4jaEup4uJiSVJ6enq7+9PT09seKy4uVmRkpJKSko54zOEsWLBAiYmJbbfs7Gw/p0egxI87V1VNNjkjbJoyMNXqOACCRITNpgG9W5bwbSt1W5wGAAAAwOEEbSnV6ttLLkzTPOYyjGMdc8cdd6iqqqrtVlhY6JesCKwDDV71Ou2HkqQpA1MVHWm3OBGAYJKXFidJ2l7q5ip8AAAAQBAK2lIqIyNDkg6Z8VRaWto2eyojI0Mej0eVlZVHPOZwnE6nEhIS2t0Qev65vkY2Z6x6Rfo0og//HwJoLyf56yV8xdUs4QMAAACCTdCWUv3791dGRoYWL17cdp/H49GKFSs0efJkSdL48ePlcDjaHVNUVKQNGza0HYPwtH5vlZbtqpckjU3ysrk5gENE2G3qn3pwCV8JS/gAAACAYGPp1ffcbre2b9/e9vWuXbu0bt06JScnKycnR3PnztV9992nvLw85eXl6b777lNMTIwuv/xySVJiYqKuuuoq3XLLLUpJSVFycrJuvfVWjRo1qu1qfAg/pmnqnjc2ypTk3vi+UnKmWB0JQJDKS4/TlpIabSt169Q8rsIHAAAABBNLS6k1a9bojDPOaPt63rx5kqQ5c+bo6aef1m233ab6+npdd911qqys1KRJk/Tee+8pPj6+7TkPP/ywIiIidOmll6q+vl7Tpk3T008/Lbud/YXC1cIv92vNnko57Yb2Ln9amkkpBeDwcpNj5LAbbUv4MhOjrY4EAAAA4CBLS6mpU6cedfNZwzA0f/58zZ8//4jHREVF6dFHH9Wjjz7aDQkRbOo8zVrw9mZJ0neHxWqBu9ziRACCWesSvq0lbm0rdVNKAQAAAEEkaPeUAg7nyeU7VFzdoL5J0Tp/SJzVcQCEgLy0ltm1XIUPAAAACC6UUggZhRV1+vMHOyVJv5g1TJF29oYBcGz9UlqW8NU0NKukutHqOAAAAAAOopRCyLjv7Xx5mn2aPDBFZ4/IsDoOgBARYbepf8rBq/CV1licBgAAAEArSimEhNW7K/TOhmLZDOmX5w3nCloAOmVQesty320s4QMAAACCBqUUgp5pmrrv7XxJ0vdPzNHQjASLEwEINf1SYhVhO7iEr4YlfAAAAEAwoJRC0Fu0sVhfFBxQtMOuudPyrI4DIAQ5Dl6FT5K2l7gtTgMAAABAopRCkGvy+vT7d7dIkn5yan+lJURZnAhAqMpLa13CV8MSPgAAACAIUEohqP1rdaF2umqVHBupn5w2wOo4AEJYv9RY2W2GqhuaVV7rsToOAAAA0ONRSiFo1TY265El2yRJN505SPFRDosTAQhlDrtNOckxkqQdZSzhAwAAAKxGKYWg9fePdsnlblRuSowun5RrdRwAYWBA75Z9pXaW1VqcBAAAAAClFIKSy92oP6/YIUm6dcYQRUbwVgVw/PqntJRSpTWNqmlosjgNAAAA0LPxkz6C0qNLt6nW49XovomaNSrT6jgAwkSsM0KZiS0XTGC2FAAAAGAtSikEncKKOv3z0wJJ0s/PGSqbzbA4EYBwMrB3y1X4droopQAAAAArUUoh6DyxfLuafaZOGZSqyYNSrY4DIMy07iu1t7JOjU1ei9MAAAAAPRelFIJKYUWd/r1mryRp7vQ8i9MACEdJMZFKjomUz5R2l9dZHQcAAADosSilEFRaZ0mdmpeqCf2SrY4DIEx9fRU+t8VJAAAAgJ6LUgpB45uzpG6exiwpAN2ntZTaXV6nZp/P4jQAAABAz0QphaDBLCkAgZKREKWYSLs8Xp/2VdZbHQcAAADokSilEBT2VjJLCkDgGIahAakts6V2lHEVPgAAAMAKlFIICo+/v6PtinvMkgIQCAN6x0mSdrlqZZqmxWkAAACAnodSCpZrmSVVKEm6mSvuAQiQ7KRoOeyG3I3NKqlptDoOAAAA0ONQSsFy35wlNZFZUgACJMJuU24KV+EDAAAArEIpBUsVVdXrP2uZJQXAGgNTW0sp9pUCAAAAAi3C6gDo2Z76eLeavKZO7J/MLCkgzOXn5wfdWP1SY2UYUnmtR7WJfhkSAAAAQAdRSsEy1Q1NeuHTAknSNacPsDgNgO5SXVEmSZo9e7bfx3a7j2/ZXZTDrqzEaO07UK+ieiYPAwAAAIFEKQXLvPBpgdyNzRqcHqepg9OsjgOgm9S7qyVJs66+U0NGj/fLmPmfrdA7z/xBDQ0Nxz1W/9RYSikAAADAApRSsERjs1f/+GiXJOl/Txsom82wOBGA7paSlau+eSP8MlZJwQ6/jCNJA1Jj9dF2l8oaDBmR0X4bFwAAAMDR8WthWOL1dftVWtOojIQonT8my+o4AHqwpNhI9Yp2yJSh6P4nWB0HAAAA6DEopRBwPp+pv3ywU5L0o1P6KTKCtyEAa/Xv3XIVvuiBJ1qcBAAAAOg5aAMQcMs2l2p7qVvxzgj94MQcq+MAgAaktpZSE+T1mRanAQAAAHoGSikEXOssqctPylF8lMPiNAAgZSZGy2GYssckamtFk9VxAAAAgB6BUgoBtXZPpT7bXSGH3dCPpvS3Og4ASJLsNkMZ0T5J0pr9x39FPwAAAADHRimFgPrLBy1XzLpwbB+lJ0RZnAYAvpYZ3bJsb83+RouTAAAAAD0DpRQCprCiTu9tKpEk/e9pAyxOAwDtpUf7ZPq8KqxuVkF5ndVxAAAAgLBHKYWAee6TPTJN6dS8VOWlx1sdBwDaibRJjYUbJUlL8kssTgMAAACEP0opBES9x6t/rS6UJM05uZ+1YQDgCOp2fCZJWrqZUgoAAADobpRSCIjX1+1TVX2T+iZF64yhaVbHAYDDqt/eUkp9urNC1Q1chQ8AAADoTpRS6HamaeqZVXskSf9zcq7sNsPiRABweM2V+9Un3q5mn6kPtpZZHQcAAAAIa5RS6Hard1cqv6haUQ6bLp2QbXUcADiqCVktVwZdml9qcRIAAAAgvFFKods9s2q3JOnCsX3UKybS2jAAcAwTspySpPe3lKrZ67M4DQAAABC+IqwOgOBTUFAgl8vll7HK67x6Z33LbIMZ/Z1+GRMAutPQlEglRjt0oK5Jnxcc0In9k62OBAAAAIQlSim0U1BQoKHDhqm+rs4v4yWeOlu9Jn9fDYUb9J1TL9Xm/Hzl5OT4ZWwA6A52m6EzhvTWa+v2a2l+CaUUAAAA0E0opdCOy+VSfV2drrj9fqXnDDyusbym9M4+hxp90tjsXlpUVyeXy0UpBSDoTRuWrtfW7deS/BLdce4wq+MAAAAAYYlSCoeVnjNQffNGHNcYm4uq1egrUZwzQsPS0rTIT9kAoLudPqS3ImyGdpTVarerVv1SY62OBAAAAIQdNjpHt/lyb5UkaVSfRNkMi8MAQCckRDnalu0tyS+xOA0AAAAQniil0C3KahpVXN0gmyGNyEqwOg4AdNq0YemSpKX5pRYnAQAAAMITpRS6xcb9LbOkBqTGKdbJKlEAoWf6sDRJ0urdFaqqb7I4DQAAABB+KKXgd01en/KLayRJI/swSwpAaMpNidWgtDg1+0yt2FpmdRwAAAAg7DCFBX63vdQtT7NPCVERykmOsToOAHTZtGFp2l7q1tL8Ep0/JsvqOEDQi4yMbPuzYbdbmAQAgktkZKQeeuihtj8DaMFMKfjdhn0tS/dGZCXKMNjhHEDomn5wX6nlW8rU7PVZnAYIft/87z6fAQDga4ZhyOl0yul08u8j8A2UUvCrilqP9lc1yJA0PJOlewBC2wk5SUqKcaiqvklr9lRaHQcAAAAIK5RS8KsNBzc475caq7goVocCCG12m6EzhrRseL40v8TiNAAAAEB4oZSC3zT7fMovqpbEBucAwse0g0v4luaXWpwEAAAACC+UUvCbHaW1amjyKc4ZoX7JsVbHAQC/OG1wqhx2QztdtdpZ5rY6DgAAABA2KKXgN61L94ZnJshmY/M+AOEhPsqhSf1TJDFbCgAAAPAnSin4xYE6j/ZW1kuSRmSxdA9AeJk2rGVfqSXsKwUAAAD4DTtRwy827m/ZSyo3OUYJ0Y4jHpefn++31/TnWABwNNOHpeueNzZpzZ5KVdU1KTHmyP/OAQAAAOgYSikcN5/PbNvgfMQRNjivriiTJM2ePdvvr+92s8cLgO6VnRyjwelx2lri1vKtpbpgbB+rIwEAAAAhj1IKx62gok61Hq+iHDYNSI077DH17pbSatbVd2rI6PF+ed38z1bonWf+oIaGBr+MBwBHM21YuraWuLUkn1IKAAAA8AdKKRy3TQdnSQ1NT5D9GBucp2Tlqm/eCL+8bknBDr+MAwAdMX1Ymp5cvkPLt5SqyeuTw862jAAAAMDxoJTCcWlo8mpnWa0kaVhWvMVpAOD4HWm/Op/PVILTpuqGZr2w+FONSnN2eMzU1FTl5OT4KyIAAAAQFiilcFy2ltTIa5pKjYtU77iO/4AGAMGmI3vfpZw7V3Gjpuun9/9Dlcv+1uGxo2NitDk/n2IKAAAA+AZKKRyX/KIaSdKwzAQZxtGX7gFAMOvI3nf76gx94pIyT75AV158rjryz15JwQ7983c/k8vlopQCAAAAvoFSCl1WUetRcXWDDEMaks7SPQDh4Wh736U1+7T6g52qbZZi++QpOTYywOkAAACA8MEureiy1g3O+6XEKtZJvwkg/EVG2NQnKVqStMtVa3EaAAAAILRRSqFLfKapzcUtpdTwzASL0wBA4AxIjZUk7XS5LU4CAAAAhDZKKXRJYUWdahu9ioqwqV9qjNVxACBg+h8spYoONKi+yWtxGgAAACB0UUqhS1qX7g3JiFeEjbcRgJ4jIdqhlLhImZL2sIQPAAAA6DLaBHRaY5NXO8pafhAbxtI9AD3Q10v4KKUAAACArqKUQqdtLXXL6zOVEhuptHin1XEAIOBal/DtKa+T12danAYAAAAITZRS6LT8g0v3hmUmyDAMi9MAQOBlJEQp2mGXx+vTvgP1VscBAAAAQhKlFDqlqr5JRVUNMtSynxQA9ESGYbTNltrFEj4AAACgSyil0Cmbi1tmSWUnxyjOGWFxGgCwzjdLKdNkCR8AAADQWZRS6DDTNLW5qEaSNJRZUgB6uJzkGNkNQ1X1Taqo9VgdBwAAAAg5lFLosJLqRh2ob1KEzdDA3nFWxwEAS0VG2NQ3OVoSS/gAAACArqCUQoe1Lt0b0DtWkRG8dQCgdQnfTkopAAAAoNNoFtAhXp+prSVuSdKwjASL0wBAcGgtpYqrGlTv8VqcBgAAAAgtlFLokIKKOtU3eRXtsCsnOcbqOAAQFBKiHEqNi5QpaXc5s6UAAACAzqCUQoe0Lt0bkh4vm82wOA0ABI8BqS177LGEDwAAAOgcSikck6fZp51lLT9sDcnkqnsA8E2tS/gKyuvU7PNZnAYAAAAIHZRSOKYdZW41+0z1inEoPd5pdRwACCrpCU7FRNrl8fq0t7Le6jgAAABAyKCUwjFtLq6RJA3NiJdhsHQPAL7JMAwN7N2yhG97qdviNAAAAEDooJTCUbkbm1VYUSdJGspV9wDgsAalHdxXqqxWPp9pcRoAAAAgNFBK4ai2ltTIlJSZGKXEaIfVcQAgKPXpFa2oCJvqm7zad4AlfAAAAEBHUErhqDYXfb10DwBweHaboQEHl/DtKGMJHwAAANARlFI4Ipe7UWXuRtkMKS+dUgoAjqZ1Cd/2MrdMkyV8AAAAwLFQSuGIthzc4LxfSqyiHXaL0wBAcMtOjlak3abaRq+KqxusjgMAAAAEPUopHJZptr/qHgDg6CJsNvVLjZHEVfgAAACAjqCUwmG5Gg25G5sVabepf2qs1XEAICS0LeErZQkfAAAAcCyUUjisgtqWt0Zeepwi7LxNAKAj+qXEKsJmqLqhWWXuRqvjAAAAAEGNtgGHsju0r67lrcHSPQDoOIfdptwUlvABAAAAHUEphUPEDJyoJtNQnDNCfXpFWx0HAEJK6xK+HaW1FicBAAAAgltQl1Lz58+XYRjtbhkZGW2Pm6ap+fPnKysrS9HR0Zo6dao2btxoYeLwEDviDEnSkIx4GYZhcRoACC39U2NlM6SKOo8qaj1WxwEAAACCVlCXUpI0YsQIFRUVtd3Wr1/f9tjvf/97PfTQQ3rssce0evVqZWRk6KyzzlJNTY2FiUNbTaNP0QMnSGLpHgB0hTPCruxklvABAAAAxxL0pVRERIQyMjLabr1795bUMkvqkUce0Z133qmLL75YI0eO1DPPPKO6ujq98MILFqcOXSsL62XYHUp0+JQa57Q6DgCEpLar8JVRSgEAAABHEvSl1LZt25SVlaX+/fvr+9//vnbu3ClJ2rVrl4qLizVjxoy2Y51Op04//XStXLnyqGM2Njaqurq63Q0tVhTUS5JyYn0WJwGA0DUwNU6GIZXVNMrdZHUaAAAAIDgFdSk1adIkPfvss1q0aJH++te/qri4WJMnT1Z5ebmKi4slSenp6e2ek56e3vbYkSxYsECJiYltt+zs7G77O4SSgvI6bXY1yTR9yo6hlAKAroqOtCs7qWUJX2FdUP+nFgAAALBMUH9Snjlzpr773e9q1KhRmj59ut566y1J0jPPPNN2zLc34jZN85ibc99xxx2qqqpquxUWFvo/fAh6bd0+SVLDni8VHWFxGAAIcYPTW5bw7aWUAgAAAA4rpD4px8bGatSoUdq2bVvbVfi+PSuqtLT0kNlT3+Z0OpWQkNDu1tOZpqnXvmgppWo3vG9xGgAIfYN6x8luGKpussmRmmt1HAAAACDohFQp1djYqPz8fGVmZqp///7KyMjQ4sWL2x73eDxasWKFJk+ebGHK0PTV3irtdNUq0i7VbVtldRwACHlOh125KS1L+GKHnWZxGgAAACD4BHUpdeutt2rFihXatWuXPv30U11yySWqrq7WnDlzZBiG5s6dq/vuu0+vvvqqNmzYoCuvvFIxMTG6/PLLrY4ecl49OEtqUp8omZ56i9MAQHgYkhEvSYoZdppM07Q4DQAAABBcgnrnoL179+oHP/iBXC6XevfurZNOOkmffPKJcnNblkHcdtttqq+v13XXXafKykpNmjRJ7733nuLj4y1OHlqavD698eV+SdLpudF63uI8ABAu+qfGym6YUlKmtlc0abzVgQAAAIAgEtSl1EsvvXTUxw3D0Pz58zV//vzABApTH21zqbzWo5TYSI1Jd1odBwDChsNuU2a0T3vr7PqosEGXWR0IAAAACCJBvXwPgdG6dO+8MVmy245+5UIAQOdkx/gkSR8X1svnYwkfAAAA0IpSqodzNzbrvU0tVzC8aFwfi9MAQPhJjzbla3Crot6nz3ZXWB0HAAAACBqUUj3cuxuK1dDk04DesRrdN9HqOAAQduyGVLe15aqmrfv3AQAAAKCU6vFeO7h076KxfWQYLN0DgO5Qm79CkvTOhmI1eX0WpwEAAACCA6VUD1ZS3aCPd7gkSReMZekeAHSXhj1fKdFpU0WtRx9vd1kdBwAAAAgKlFI92Ovr9sk0pQm5ScpJibE6DgCEL9OnydlRkqQ3viyyOAwAAAAQHCilerBXv2jZ2+SiE5glBQDd7ZTsaEnSoo3FamjyWpwGAAAAsB6lVA+1ubha+UXVctgNzRqVaXUcAAh7Q1Id6psULXdjsxZtLLY6DgAAAGA5Sqke6tWDG5yfMSRNvWIiLU4DAOHPZhj67gl9JUn/WbvX4jQAAACA9SileqBmr0+vfN5SSl188AckAED3ay2lPtruUlFVvcVpAAAAAGtRSvVAH25zqaymUcmxkTpzaJrVcQCgx8hJidGJ/ZNlmmr75QAAAADQU1FK9UD/XlsoSbpgbJYiI3gLAEAgXTK+ZbbUfz/fK9M0LU4DAAAAWIdGooeprPVoyaZSSdL3xmdbnAYAep5zR2Uq2mHXzrJafVF4wOo4AAAAgGUopXqY19ftk8fr04isBA3PSrA6DgD0OHHOCM0cmSGJDc8BAADQs1FK9TD/+bzlB6DvjWeDcwCwSusSvje+3K+GJq/FaQAAAABrUEr1IPlF1dqwr1oOu6Hzx/axOg4A9FgnDUhRn17Rqmlo1uJNJVbHAQAAACxBKdWD/HtNyyyp6cPSlRwbaXEaAOi5bDZD3z2h5ZcDLOEDAABAT0Up1UN4mn16bV3L5ce/N4GlewBgtYtPaPm3+MNtZSqpbrA4DQAAABB4lFI9xLLNpaqo9ah3vFOn5fW2Og4A9Hj9UmM1sV+SfKb06hf7rI4DAAAABBylVA/Rujzk4nF9FGHn/3YACAatG57/e02hTNO0OA0AAAAQWLQTPUBZTaPe31IqiaV7ABBMzh2VqZhIu3aU1erTXRVWxwEAAAACilKqB3j1i73y+kyNze6lQWnxVscBABwUH+XQBQevhvr8J3ssTgMAAAAEFqVUmPP5TL34WaEk6dIJ2RanAQB82+yTciRJizYWq6ym0eI0AAAAQOBQSoW5VTvLtctVqzhnhC4Ym2V1HADAt4zIStS4nF5q8pp6eU2h1XEAAACAgKGUCnMvfFogSbpoXB/FOiMsTgMAOJwrJuVKavk32+tjw3MAAAD0DJRSYay0pkGLNhZLki6flGNxGgDAkXxndKYSox3ad6BeK7aWWh0HAAAACAhKqTD27zV71ewzNT43ScMyE6yOAwA4giiHXd8b33J11Oc/KbA4DQAAABAYrOcKcQUFBXK5XIfc7/WZevrDMknSlHSfPv/88w6Nl5+f79d8AICOuXxSjv720S69v6VUhRV1yk6OsToSAAAA0K0opUJYQUGBhg4bpvq6ukMeixowQenfmy9vfY1uveximc2eTo3tdrv9FRMA0AEDesdpyqAUfby9XC9+VqDbzhlqdSQAAACgW1FKhTCXy6X6ujpdcfv9Ss8Z2O6xlWURKqqXhqTF6NI/vNThMfM/W6F3nvmDGhoa/B0XAHAMsyfl6uPt5Xp5TaHmTh+syAhW2QMAACB8UUqFgfScgeqbN6Lt65qGJhUX7JYkTR4xQEmxkR0eq6Rgh7/jAQA6aPrwdKXFO1Va06hFG4t13pgsqyMBAAAA3YZSKgxt2F8tU1LfpOhOFVIAgO7T0T37pmY79PKmRj25ZKP6eIuPeFxqaqpycriyKgAAAEIXpVSY8fpMbdxXJUka1SfR4jQAgOqKlotOzJ49u0PH2+NT1Oeaf2hTmUcnzfyemkp3Hva46JgYbc7Pp5gCAABAyKKUCjO7XLWq9XgV7bBrYO84q+MAQI9X766WJM26+k4NGT2+Q8/5zCUV1kkn3fCwJqZ4D3m8pGCH/vm7n8nlclFKAQAAIGRRSoWZdYUHJEkj+yTIbjOsDQMAaJOSldtu/7+jiUhv0L9WF2pvnV0zxg1SrJP/XAMAACD8cFmfMFJW06h9B+plM6TRfXpZHQcA0EUZCVHKTIySz5S+2ltldRwAAACgW1BKhZEvCislSYPS4hQXxW/VASCUjcvpJUlav69KzV6ftWEAAACAbkApFSZqG5u1tdgtSRqXnWRxGgDA8RrYO04JURGqb/Iqv6jG6jgAAACA31FKhYkN+6rkNU1lJEQpIzHK6jgAgONkMwyNy2n5JcPagkr5TNPiRAAAAIB/UUqFAa8pfbWvZc+Rsdm9rA0DAPCbEVkJinLYVFXfpB2lbqvjAAAAAH5FKRUGCmptqvN4FeeM0KC0OKvjAAD8xGG3aUzfXpKkNXsqZTJbCgAAAGGEUirUGTZtrbZLatkU124zLA4EAPCnMX17KcJmqLSmUYWV9VbHAQAAAPyGUirERQ+aJHezIWeETSOzEq2OAwDws+hIu0ZkJUiSVu+usDgNAAAA4D8RVgdA15mmqcRJ35Ukje6bqMgIOkYACEcn5CRp/b4q7a2s1/4DzJZCaPA1N1sdAT0c70EACH6UUiEs39UkZ5+hssls23MEABB+EqIdGpaZoI37q/XZ7gpNiLU6EXBsm//1utURAABAkGNqTQj7z6YaSVJunE+xTvpFAAhnE/slyzCkPeV1qmhk/0AAAACEPpqMEPVFQaXWlXhk+rwakuC1Og4AoJslRjs0NCNe+UU1yq+yWx0HOKzIyEg99NBDVscAJLVsdeHxeCRJcXFcoRoAghGlVIh6dNl2SVLthmWK7Xe6xWkAAIEwsV+yNhfVqLjBpsiMQVbHAQ5hGIacTqfVMYA2UVFRVkcAABwFy/dC0Pq9VVq2uVQ2Q6pa9bLVcQAAAZIUE6khGfGSpF6nzrY4DQAAAHB8KKVC0B+XbZMknZIdpeYDRRanAQAE0qT+yTJkKnrABG0sa7Q6DgAAANBllFIh5svCA1q8qUQ2Q7pkOGvjAaCn6RUTqX5xPknSC+trZJqmxYkAAACArqGUCjEPvLdFknTRuL7qm+CwOA0AwArDErzyNTUq39Wk5VvLrI4DAAAAdAmlVAhZucOlD7e55LAbmjs9z+o4AACLREdINV+8JUn6/btb5PUxWwoAAAChh1IqRJimqfsXtcyS+sGJOcpOjrE4EQDAStWr/q0Yh6H8omq98vleq+MAAAAAnUYpFSLe21SiLwoOKMph0w1ncBlwAOjpfA01umRYy96CD7y3RfUer8WJAAAAgM6hlAoBnmafFrydL0n60ZT+SkuIsjgRACAYnJsXq75J0SqpbtRfP9xpdRwAAACgUyilQsBzn+zR7vI6pcZF6jpmSQEADoq0G7rtnKGSpD+t2KHS6gaLEwEAAAAdRykV5A7UefTHpdskSbfMGKI4Z4TFiQAAweS80Zkal9NLdR6vFryz2eo4AAAAQIdRSgW5R5ZsU1V9k4ZmxOvSCdlWxwEABBnDMHTP+SNkGNKrX+zTZ7sqrI4EAAAAdAilVBDbuL9Kz67aLUn6xazhstsMawMBAILS6L699P2JOZKkX76+Qc1en8WJAAAAgGOjlApSPp+pX7y2QT5TmjU6U6fkpVodCQAQxH529hD1inFoc3GNnvtkj9VxAAAAgGOilApSL68p1BcFBxQbaddds4ZbHQcAEOSSYyN164whkqQH39uq/QfqLU4EAAAAHB2lVBAqdzfqt++2bFb707MGKyMxyuJEAIBQcPmJOTohp5fcjc2667UNMk3T6kgAAADAEVFKBaFfLtyoA3VNGpaZoCsn97M6DgAgRNhshn773dFy2A0t3Vyqt9YXWR0JAAAAOCJKqSDzzvoivfVVkew2Q/dfMloRdv4vAgB03OD0eF07dZAkaf7Cjaqo9VicCAAAADg8Go8gUlHr0V2vb5AkXTd1oEb2SbQ4EQAgFF1/xkANSouTy+3RL15bzzI+AAAABCVKqSBhmqbuem2DXG6PhqTH64YzB1kdCQAQopwRdj186VhF2Ay9vb5Yr6/bb3UkAAAA4BCUUkHi5TWFemt9kSJshu7/3mg5I+xWRwIAhLBRfRN107Q8SdJdr29QURVX4wMAAEBwoZQKAttL3Zq/cJMk6ZYZQzS6by9rAwEAwsJ1UwdqTHYv1TQ06+aX1qnZ67M6EgAAANCGUspiDU1e3fTiF6pv8mrKoBRdfdoAqyMBAMJEhN2mRy4bq9hIuz7bVaE/LN1mdSQAAACgDaWUhVr3kdpUVK3k2Eg9dOlY2WyG1bEAAGGkf2qs7rt4lCTpsfe368NtZRYnAgAAAFpQSlno+U8L9O+1e2UzpD9+f5zSE6KsjgQACEMXjO2jyyflyDSluS+t074D7C8FAAAA61FKWWT17grds3CjJOn2c4bqlLxUixMBAMLZL78zXMMzE1Re69FPnlmjOk+z1ZEAAADQw1FKWWCXq1b/++waNftMzRqdqf9lHykAQDeLctj1l/8Zr5TYSG0qqtbP/v2VTNO0OhYAAAB6sAirA/QUBQUFcrlcqmrw6v+WlauyzquBSQ5dMcinL774oktj5ufn+zklACCc9U2K0ZOzx+uKv32it9YXaeCSOM07a7DVsQAAANBDUUoFQEFBgYYOG6aGJq/SL/uNnH2GqvlAsZY/dqum/PzAcY/vdruPPyQAoEc4sX+yfnXBSP38lfX649JtSot3avZJuVbHAgAAQA9EKRUALpdLDZ5mjbrlOVUpVg6bqbOGJSvh9/84rnHzP1uhd575gxoaGvyUFADQE3z/xBztr2rQH5du0y9f36DUOKfOGZlhdSwAAAD0MJRSAdDkNdX7wv9rKaTshi4a11eZidHHPW5JwQ4/pAMA9EQ/nZ6nspoGvfhZoW568Qv9+X/G64whaVbHAgAAQA/CRufdzDRNPfLpAUUPnCC7YeqCMX38UkgBAHA8DMPQry4YqZkjM+Tx+nT1s2v1/pZSq2MBAACgB6GU6maGYejkvlHyNdZpcu9m9UmikAIABIcIu01//ME4nTPi62Jq8aYSq2MBAACgh2D5XgCckhOtn/75x0p74GmrowAAwoi/rsL6o2HSgQNR+mRfg65+bo1+c9Eo/eDEHL+MDQAAABwJpVSA+OqrrY4AAAgT1RVlkqTZs2f7b1DDppRzblDc6Bm645X1KjpQr7nTB8tmM/z3GgAAAMA3UEoBABBi6t0tv+iYdfWdGjJ6vN/GLS7Yobc+flG9pvxAf1y2XfnFNXro0jGKj3L47TUAAACAVpRSAACEqJSsXPXNG+HXMat+9zPdOfca/fXzGi3eVKILH/9Yj19xgoZmJPj1dQAAAAA2OgcAAO1M6x+jl685WRkJUdpRVqvzH/1Yf/twp3w+0+poAAAACCOUUgAA4BBjs3vpzZtO0bShafJ4ffr1W/m6/G+faHup2+poAAAACBOUUgAA4LBS45z625wJ+s1FIxXlsOmTnRWa+YcPdP+izXI3NlsdDwAAACGOUgoAAByRYRi6YlKuFv/0dJ05NE1NXlOPv79Dp//+fT318S41NnutjggAAIAQRSkFAACOKTs5Rn+fM0F/mj1e/VNjVV7r0T1vbNKpv3tfTyzfrqr6JqsjAgAAIMRw9T0AANAhhmHonJEZmjYsTf9es1d/XLpNxdUN+v27W/To0u2aNTpTl07I1sR+STIMo1uzFBQUyOVy+X3c1NRU5eTk+H1cAAAAHIpSCgAAdIrDbtPlk3J0yfi+euPL/frrhzu1ubhG/1m7V/9Zu1dZiVGaMSJDM4ana3y/JDkj7H59/YKCAg0dNkz1dXV+HVeSomNitDk/n2IKAAAgAMKmlHriiSd0//33q6ioSCNGjNAjjzyiU0891epYAACEnPz8/A4f29+QfnNqrLaUR2rprjp9XNig/VUNenrlbj29crci7dLozDhNHpKpMX0TNSIrUekJzuOaSeVyuVRfV6crbr9f6TkDuzxOK9OUTEklhTv14v0/l8vlopQCAAAIgLAopf71r39p7ty5euKJJzRlyhT9+c9/1syZM7Vp0yY+VAIA0EHVFWWSpNmzZ3d5DCMiUlH9xipm8GRF9x8vT1yS1ux1a83ebW3HRDvsykmOUW5Kyy0zMVoJ0Q4lRjuUEBWhxBiHoiLsshmGDEOy2QzZDKnZa6q+yavtFR45+46Q2XuQGhJz1Ozzqdlrqsnrk8frU5PXVFOzr/3XrX9u/vprn2nKZ34z/VClnHNjl//uAAAA6JywKKUeeughXXXVVfrxj38sSXrkkUe0aNEiPfnkk1qwYIHF6QAACA317mpJ0qyr79SQ0eOPezzTlHYV7tCS997Td38yT3vr7dpZ5lZ9k1dbSmq0paSmy2NnXPE7fVwmqazouHO2Y+MaMAAAAIES8qWUx+PR2rVr9fOf/7zd/TNmzNDKlSstSgUAQOhKycpV37wRfhnLMCT3F2/ppkn36oQTTpCn2ad9B+q1p7xWe8rrtLu8VmU1japuaFZVfZNq6ptUVd+kxmafzIMzmVpmNJly2G2KcthlM70qKtyt3hl9FB0Towi7IYfNJofdJofdkCOi5c+RB7+OtNva7nPYjYP/a5PN0NezsQxDRTs367EHH5Xuudwvf3cAAAAcXciXUi6XS16vV+np6e3uT09PV3Fx8WGf09jYqMbGxravq6qqJEnV1dXdktHtdkuS9m7bqMZ6/23KWlKwQ5JUvHurdsTGBO2Y3TVuqIzZXeOGypjdNW6ojNld44bKmN01bqiM2V3jhlLWsr27JElr165t+++hJNkk9ZfUP1FS4jefYZPkPOqYW7Zs0f/efa1Omfsr9e7V/+sHfAdvTYd/XtORH2rLajZ75Ha7u+UzQeuYpmke48ju1fr63fW5BwAAoKOfewzT6k9Gx2n//v3q06ePVq5cqZNPPrnt/t/85jd67rnntHnz5kOeM3/+fN1zzz2BjAkAACBJKiwsVN++fS17/b179yo7O9uy1wcAAD3HsT73hPxMqdTUVNnt9kNmRZWWlh4ye6rVHXfcoXnz5rV97fP5VFFRoZSUlOO6GlB3qa6uVnZ2tgoLC5WQkGB1nJDBeesazlvncc66hvPWNZy3rgmG82aapmpqapSVlWXJ67fKyspSYWGh4uPju+VzTzCc63DAefQPzqN/cB79g/PoH5zH4xeIc9jRzz0hX0pFRkZq/PjxWrx4sS666KK2+xcvXqwLLrjgsM9xOp1yOtsvDejVq1d3xvSLhIQEvum6gPPWNZy3zuOcdQ3nrWs4b11j9XlLTEw89kHdzGazBWSmltXnOlxwHv2D8+gfnEf/4Dz6B+fx+HX3OezI556QL6Ukad68efrhD3+oCRMm6OSTT9Zf/vIXFRQU6JprrrE6GgAAAAAAAA4jLEqpyy67TOXl5br33ntVVFSkkSNH6u2331Zubq7V0QAAAAAAAHAYYVFKSdJ1112n6667zuoY3cLpdOruu+8+ZMkhjo7z1jWct87jnHUN561rOG9dw3kLHM61f3Ae/YPz6B+cR//gPPoH5/H4BdM5DPmr7wEAAAAAACD02KwOAAAAAAAAgJ6HUgoAAAAAAAABRykFAAAAAACAgKOUChJPPvmkRo8erYSEBCUkJOjkk0/WO++80/a4aZqaP3++srKyFB0dralTp2rjxo0WJg5OCxYskGEYmjt3btt9nLtDzZ8/X4ZhtLtlZGS0Pc45O7x9+/Zp9uzZSklJUUxMjMaOHau1a9e2Pc55O1S/fv0Oea8ZhqHrr79eEufsSJqbm/WLX/xC/fv3V3R0tAYMGKB7771XPp+v7RjO3eHV1NRo7ty5ys3NVXR0tCZPnqzVq1e3Pc55848nnnhC/fv3V1RUlMaPH68PP/zwqMevWLFC48ePV1RUlAYMGKA//elPAUoa3DpzHpcvX37Yf083b94cwMTB54MPPtB5552nrKwsGYah11577ZjP4f3YXmfPIe/Fw1uwYIEmTpyo+Ph4paWl6cILL9SWLVuO+Tzej+115TzynmzvWN3C4Vj6PjQRFBYuXGi+9dZb5pYtW8wtW7aY//d//2c6HA5zw4YNpmma5m9/+1szPj7e/O9//2uuX7/evOyyy8zMzEyzurra4uTB47PPPjP79etnjh492rz55pvb7ufcHeruu+82R4wYYRYVFbXdSktL2x7nnB2qoqLCzM3NNa+88krz008/NXft2mUuWbLE3L59e9sxnLdDlZaWtnufLV682JRkvv/++6Zpcs6O5Ne//rWZkpJivvnmm+auXbvMf//732ZcXJz5yCOPtB3DuTu8Sy+91Bw+fLi5YsUKc9u2bebdd99tJiQkmHv37jVNk/PmDy+99JLpcDjMv/71r+amTZvMm2++2YyNjTX37Nlz2ON37txpxsTEmDfffLO5adMm869//avpcDjM//znPwFOHlw6ex7ff/99U5K5ZcuWdv+uNjc3Bzh5cHn77bfNO++80/zvf/9rSjJfffXVox7P+/FQnT2HvBcP7+yzzzafeuopc8OGDea6devMWbNmmTk5Oabb7T7ic3g/Hqor55H3ZHvH6ha+zer3IaVUEEtKSjL/9re/mT6fz8zIyDB/+9vftj3W0NBgJiYmmn/6058sTBg8ampqzLy8PHPx4sXm6aef3lZKce4O7+677zbHjBlz2Mc4Z4d3++23m6eccsoRH+e8dczNN99sDhw40PT5fJyzo5g1a5b5ox/9qN19F198sTl79mzTNHm/HUldXZ1pt9vNN998s939Y8aMMe+8807Om5+ceOKJ5jXXXNPuvqFDh5o///nPD3v8bbfdZg4dOrTdfVdffbV50kkndVvGUNDZ89j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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1,2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['Children'], ax=axes[1] ,orient ='h',palette = 'Set3')\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Children\n",
+       "1    1128\n",
+       "0     638\n",
+       "2     421\n",
+       "3      53\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 154,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['Children'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"The maximum allowable number of children is restricted to three, ensuring the absence of outliers.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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htiV8exttks1ucRoAAAAAQFdRSgFBoHBfoyQpJyl8Z0m1yeoRregIu1q8hqJyR1odBwAAAADQRZRSQIBze7zaW7W/lEoO3/2k2tgMQ/16ti7hixk0yeI0AAAAAICuopQCAlxRtUtur6mYSLtSYiOtjhMQBvSMlyTFDDhBHi+n4QMAAACAYEQpBQS4wn2t+0nlJMXIMMJ7P6k2vXpEK9Jmyh7bQxvKm62OAwAAAADoAkopIMAVVrYt3WM/qTZ2m6GsaK8k6dvdLovTAAAAAAC6glIKCGBNbo9KaltLF/aT6igr5j+llJclfAAAAAAQdCilgAC2Z1+jTFNKjI5QQlSE1XECSs8oU15Xnfa5vFpZsM/qOAAAAACATqKUAgIYS/cOzW5IDVuXSpI+WFtscRoAAIDQ4/V6D/pvAPAVSikggLVtcp6bxNK9g2nY9I0k6aN1RTJNlvABAAD4UkNDw0H/DQC+QikFBKj6Jrcq6lvPLJfNflIH5dr5naIchvZWu7R6d7XVcQAAAAAAneCwOgCAg2ubJZUW71R0hP2Qx+Xn5/vsPn05lj+Y7maNzXTqm0KXPlxbpNE5PayOBAAAAAA4SpRSQIBq20/qUEv3airLJEkzZ870+X3X1dX5fMzucmJ2VGspta5Yv50xWIZhWB0JAAAAAHAUKKWAAGSapgoqW2dKHWqT88a6GknS2dfdpUEjx/rkfvOXLtSH8x6Xy+XyyXj+MCbDqagImwoqG7R+b42G90q0OhIAAAAA4ChQSgEBqKqxRXVNbtkMKavH4c+8l5KVp+wBw3xyvyUF23wyjj9FR9h06sA0fby+RB+sLaKUAgAAAIAgwUbnQAAq3D9LKjMxWhF2XqZHcvbILEnSv9dwFj4AAAAACBb8tgsEoLb9pA61dA8dTR3SUzGRdhVUNmhVYZXVcQAAAAAAR4FSCggwpmlq9/4z7+UcYpNzdBQT6dAZQ9MlSe+s2mtxGgAAAADA0aCUAgJMWW2TXG6vIu02pSdEWR0naJw3qnUJ3/tri+TxsoQPAAAAAAIdpRQQYAr2z5LqlRQtu82wOE3wOHlAmhKjI1RW26Rvt1dYHQcAAAAAcASUUkCAad9PKon9pDoj0mHTWSMyJEnvsoQPAAAAAAIepRQQQNxer/ZWtW1yzn5SnXXeqF6SpA/XFanJ7bE4DQAAAADgcCilgABSXO2S22sqJtKulNhIq+MEneP7JCs9wakal1sLN5VZHQcAAAAAcBiUUkAAaVu6l50ULcNgP6nOstsMnTOydcPzd1ezhA8AAAAAAhmlFBBACvdvcp7L0r0uazsL36f5JapvclucBgAAAABwKJRSQIBocntUXOOSJOUkUUp11cjsRPVOiZGrxatP80usjgMAAAAAOARKKSBA7NnXKNOUEqMjlBAdYXWcoGUYRvtsKc7CBwAAAACBi1IKCBCF+9rOuhdtcZLgd97o1lJq4eYy7atvtjgNAAAAAOBgKKWAAFFYuX8/KZbuHbP+PeM1JDNBbq+pD9YVWR0HAAAAAHAQlFJAAKhvcqti/4yebEopn7hwTOtsqTdW7LY4CQAAAADgYCilgADQdta9tHinoiPtFqcJDReM6SW7zdDKgiptLa2zOg4AAAAA4AcopYAAUFi5fz+pJPaT8pWe8VGaPDBNkvTGSmZLAQAAAECgoZQCLGaaZvtMqZxklu750sVjsyVJb67cLY/XtDgNAAAAAOD7KKUAi1U3tqjW5ZbNkHr1YKaUL50+pKd6xESopKZJX20pszoOAAAAAOB7KKUAi7Ut3ctMjFaEnZekLzkddl0wupck6X/Z8BwAAAAAAgq/AQMWK2hbusd+Ut2ibQnf/PUlqtx/hkMAAAAAgPUopQALmaap3ewn1a2G90rU8F4JavZ49QazpQAAAAAgYFBKARYqq2uSq8WrCLuh9IQoq+OErJ8cnytJenVpgUyTDc8BAAAAIBBQSgEWattPqlePaNlthsVpQtf5o3spNtKu7eX1+nZ7pdVxAAAAAACilAIsVVjZunQvl6V73SrO6dB5+zc8f2VpgcVpAAAAAAASpRRgGbfXqz1VrTOl2E+q+10xoXUJ30frilRR12RxGgAAAAAApRRgkeJql9xeU9ERdqXERlodJ+QN75WoEb0S1eIx9a/lbHgOAAAAAFajlAIs0rafVE5ytAyD/aT84coT8yRJL327S26P1+I0AAAAABDeKKUAixTua91PiqV7/nPeqCwlx0ZqT1WjPs0vsToOAAAAAIQ1SinAAk1uj4prXJKk3CRKKX+JirDrJ8fnSJKe+2antWEAAAAAIMxRSgEW2FPVKNOUEqMjlBAdYXWcsDLzhDzZbYaW7KjUhr01VscBAAAAgLBFKQVYoH0/qaRoi5OEn8zEaJ05PEOS9PyiHRanAQAAAIDwRSkFWKCwkv2krPSzib0lSW+v2quy2iZrwwAAAABAmKKUAvysvsmtivpmSVIO+0lZYmxekkbn9FCz26t5i3ZaHQcAAAAAwhKlFOBnu/e1Lt1Li3MqOtJucZrwZBiGrj+1ryTpxW93qb7JbXEiAAAAAAg/DqsDAOGmcF/b0j32k7LSGUMz1DslRjsrGvT6skJdfVIfqyN1WkFBgcrLy306ZmpqqnJzc306JgAAAAAcDKUU4EemaaqA/aQCgt1m6Oen9NVdb63Ts1/v0JUn5inCHjyTRwsKCjR4yBA1NjT4dNzomBhtzM+nmAIAAADQ7Swtpb788ks9/PDDWrFihYqKivTWW2/pggsuaL/9qquu0rx58zp8zoQJE/Ttt9+2f9zU1KTbbrtNr776qhobGzVlyhQ99dRTys7O9tfDAI5adWOLal1u2QypVw9mSlntR8dl69H5m7WnqlHvrd6ri44Lnv83ysvL1djQoCvueFjpuf18MmZJwTa9/OBvVF5eTikFAAAAoNtZWkrV19dr1KhR+tnPfqYf/ehHBz3mzDPP1HPPPdf+cWRkZIfbZ8+erffee0+vvfaaUlJS9Otf/1rnnHOOVqxYIbud/XoQWAr37yeVkRgVVLNyQlVUhF1Xn9RHD320SU9+vlXnj+4lu82wOlanpOf2U/aAYVbHAAAAAIBOs7SUmjFjhmbMmHHYY5xOpzIyMg56W3V1tZ599lm9+OKLmjp1qiTppZdeUk5Ojj799FNNnz7d55mBY1G4f+leLmfdCxg/PbG3/rZwu7aX1euDtUU6d1SW1ZEAAAAAICwE/FSNL774Qj179tTAgQP185//XKWlpe23rVixQi0tLZo2bVr7dVlZWRo+fLgWLVpkRVzgkEzz+5ucU0oFijinQ9fs3+T8ic+2yOs1LU4EAAAAAOEhoEupGTNm6OWXX9Znn32mRx55RMuWLdPpp5+upqYmSVJxcbEiIyOVlJTU4fPS09NVXFx8yHGbmppUU1PT4QJ0t6pmQ64WryLtNqUnRFkdB98za2JvxUc5tLmkTh+vP/T/HQAAAAAA3wnoUurSSy/V2WefreHDh+vcc8/Vhx9+qM2bN+v9998/7OeZpinDOPS+MA888IASExPbLzk5Ob6ODhygxNX6PZmTHB10+xaFusToCP1sUutsqccXMFsKAAAAAPwhoEupH8rMzFReXp62bNkiScrIyFBzc7P27dvX4bjS0lKlp6cfcpw777xT1dXV7ZfCwsJuzQ1IUomr9eWWy9K9gHTNpD6Kj3JoY3Gt3luz1+o4AAAAABDygqqUqqioUGFhoTIzMyVJY8eOVUREhObPn99+TFFRkdatW6eJEycechyn06mEhIQOF6A7GZHRqmhqnR1FKRWYEmMidN0pfSVJj87frBaP1+JEAAAAABDaLC2l6urqtGrVKq1atUqStGPHDq1atUoFBQWqq6vTbbfdpsWLF2vnzp364osvdO655yo1NVUXXnihJCkxMVHXXHONfv3rX2vBggX67rvvNHPmTI0YMaL9bHxAIIjKGS5ThhKjI9QjJtLqODiEn03qo5TYSO2saNAbK3ZbHQcAAAAAQpqlpdTy5cs1ZswYjRkzRpJ06623asyYMfr9738vu92utWvX6vzzz9fAgQM1a9YsDRw4UIsXL1Z8fHz7GI8++qguuOACXXLJJZo0aZJiYmL03nvvyW63W/WwgANE9W79HmeWVGCLdTp042n9JbXuLeVq8VicCAAAAABCl8PKO588ebJM89AbCn/88cdHHCMqKkpPPPGEnnjiCV9GA3wqug+lVLC4fEKu/vHVdu2tdum5b3bqF5P7WR3J7/Lz830+ZmpqqnJzc30+LgAAAIDgZWkpBYSD0nq3IlJyZMhUTnK01XFwBFERdt02fZBu/ddq/eXzrbp4bLbS4p1Wx/KLmsoySdLMmTN9PnZ0TIw25udTTAEAAABoRykFdLPVJc2SpGSnKaeDZaXB4ILRvfT8op1as7tac+dv0gMXjbQ6kl801tVIks6+7i4NGjnWZ+OWFGzTyw/+RuXl5ZRSAAAAANpRSgHdbFVxkyQpPYqzuQULm83Q788Zqov/ulivLSvUlSf01tCs8DlLZ0pWnrIHDLM6BgAAAIAQRykFdCOP19SaktZSqmfUofdPQ9f5ev+jtr2PxvVO1tkjM/X+miL94f0NevnaCTIMw6f3BQAAAADhjFIK6EZrdlepvsWUx1WnpMhIq+OElO7a/+j7ex/99szBmr+hRIu2VejT/FKdMTTdp/cFAAAAAOGMUgroRl9tKZckuXatlm3geIvThJbu2P/oh3sf5STH6NqT+uipL7bpj+9v0KkD0xTpsPnkvgAAAAAg3FFKAd3oqy2ts3lcO1ZKopTqDt29/9ENp/XXv5bv1s6KBr2weKeuPblvt90XAAAAAIQT/uQPdJNaV4tWFlRJklw7V1maBV0X53ToN9MHSpIeX7BF5XVNFicCAAAAgNBAKQV0k8XbKuTxmsqMs8tdXWJ1HByDi8fmaFhWgmpdbt3/vm83VgcAAACAcEUpBXSTtv2kRmc4LU6CY2W3GfrjhSNkGNKb3+3RN1vLrY4EAAAAAEGPUgroBqZpauHm1v2kRqVTSoWC0Tk99NMT8iRJd721Vq4Wj8WJAAAAACC4UUoB3WBbWb0KKhsUabdpRM9Iq+PAR26bPkjpCU7trGjQXz7fanUcAAAAAAhqlFJAN/h8Y6kkaULfZEVH8DILFfFREbr3vNYz/f114TZtKam1OBEAAAAABC9+Wwa6wWf7S6nTB/e0OAl8bfqwDE0d0lMtHlO/e2utvF7T6kgAAAAAEJQopQAfq3G1aNnOSkmUUqHIMAzde/5wxUTatWznPv1reaHVkQAAAAAgKFFKAT729ZZyub2m+qbFKi8l1uo46Aa9ekTr1jMGSpLu/yBfpTUuixMBAAAAQPChlAJ8rH3p3iBmSYWyqyb21oheiapxuXXnm2tlmizjAwAAAIDOoJQCfMjrNfXFJvaTCgcOu01//vEoRdptWrCxVG+s3GN1JAAAAAAIKpRSgA+t3VOt8rpmxTkdGtc72eo46GaDMuI1+4wBkqR731uvoupGixMBAAAAQPCglAJ8aP6GEknSKQNTFeng5RUO/uvkvhqd00O1Lrd+/a/VnI0PAAAAAI4SvzUDPtRWSp0xNN3iJPAXh92mRy4ZpegIuxZtq9AzX223OhIAAAAABAVKKcBHdlXUa1NJrew2Q6cPopQKJ/3S4nTPuUMlSX/+eJPW7q62OBEAAAAABD5KKcBH2mZJTeiTrMSYCIvTwN8uHZ+jGcMz5PaauuW171TrarE6EgAAAAAENEopwEc+YeleWDMMQw9cNEJZiVHaUV6vO95YI9NkfykAAAAAOBRKKcAHKuubtXxnpSRKqXDWIyZST15xnCLshj5YW6xnv95hdSQAAAAACFiUUoAPLMgvkdeUhmYmKDspxuo4sNBxuUm6+5zW/aUe+HCjlmyvsDgRAAAAAAQmSinAB1i6h++78oQ8nT86Sx6vqetfWqGd5fVWRwIAAACAgEMpBRyjuia3Fm4ukyRNH5ZhcRoEAsMw9KeLRmpUdqL2NbTo6nnLVN3AxucAAAAA8H0OqwMAwW5Bfoma3V71SY3VkMx4q+MgQERH2vX3n47TBX/5RtvL6nXdS8v1/M+OV1SE3epoBzBNU9WNLSpWDyVN+S+tcSVrzeKdavGYcnu9irDbFB1hV3yUQz3jo5SRGKWsxCg57PxdAwAAAEDXUUoBx+iDtUWSpLNGZMgwDIvTIJD0TIjSP2aN14//ukjfbq/UDS+v1F9njlWkw/oyxzRNFVW7tLmkVtvK6lXX5JaUqYRx52mfV9L3Zna5WryqdblVWtukbWWtSxEj7Tb1S4vV4MwE5SRF870PAAAAoNO6VEr17dtXy5YtU0pKSofrq6qqdNxxx2n79u0+CQcEuvomt77Y1Lp076wRmRanQSAampWgZ68ar1n/XKrPNpbql699pyd+MsayWUYNzW5t2FujtXuqVeNyt19vM6Q4s16FSz7S+JOnaPiwYYp02OSwGWrxmGpodquqsUUl1S7trXaprsmt/OJa5RfXqme8UxP6JKtPaizlFAAAAICj1qVSaufOnfJ4PAdc39TUpD179hxzKCBYfLaxVE1ur3qnxGhoZoLVcRCgTuibomd+Ok4/n7dcH64r1vUvrdATPzlO0ZH+W8pXWd+sFbv2aVNxrTymKal1tlPftFgNTI9XdlK01nzxb6394jllnnaicpIPfRbJtllWG4trlV9Uo9LaJr23pkhZiVGaMiRdybGR/npYAAAAAIJYp0qpd999t/3fH3/8sRITE9s/9ng8WrBggXr37u2zcECg+8/SvUxmiOCwTh2YpqdnHqcbXl6pT/NL9ZO/f6tnZ41TSpyzW++3uNql5bsq25fdSVJ6glMje/XQgPQ4RXRhxpZhGMrqEa2sHtE6oW+yviuo0qrCKu2tdunlJbs0vneyju+dLJuN1wQAAACAQ+tUKXXBBRdIav2FZNasWR1ui4iIUO/evfXII4/4LBwQyBqa3fp8U6kklu7h6EwZkq6Xr52ga+Yt16rCKp3/l2/0+GVjNDYvyaf3Y5qmdlY0aGXBPu3e19h+fd/UWI3rnaTMxGif3VdMpEOT+qdqRHaiPt9Yqp0VDVqyo1J7qhp15rAMxTrZuhAAAADAwXXqtwWv1ytJ6tOnj5YtW6bU1NRuCQUEg/kbSuRq8SovJUbDsli6h6Mzrney3vjFRP3s+aUqrGzUJX9brNlTBuj6yf26NGvp+9werzYW1+q7gipVNjRLat0ralBGvMbmJnXrrKyEqAidNypLm0pq9dnGUu3e16hXlxXonBFZ3XafAAAAAIJbl/6EvWPHDl/nAILOO6v2SpLOH5XF0j10Sv+ecXr/lpP132+t07ur9+qR+Zv15nd79JvpgzRjeOfP4ljT2KINRTVas7tajS2t+/1F2m0a1itBY3J6KD4qojsexgEMw9DgjAT1jI/S+2uKVNnQrDdW7taEFF4fAAAAAA7U5XUVCxYs0IIFC1RaWto+g6rNP//5z2MOBgSyiromfbm59ax754/pZXEaBKOEqAg9ftloTR6Upj++n68d5fW64eWV6t8zTheO6aXzRmUpOyn6oAWV12tqR1WL4sedry9KHKoo2Nl+W3yUQ6NzemhYVoKcDv9tpP59ybGRunR8jj5YV6RdFQ1aVOZQzJBTLMkCAAAAIHB1qZS69957dd9992ncuHHKzGSDZ4Sf99cWye01NaJXovqlxVkdB0HKMAxddFy2pg3L0DNfbtc/vtquraV1evjjTXr4401KiY3UkMwEJcVGKsJuqKnFq8J9DdpZXq8al1vJU36uiqbWsbKTojWiV6L6p8UFxAbjkQ6bzh2ZpU82FGtzSZ1Sz71NXxc06rjjrE4GAAAAIFB0qZT661//queff15XXnmlr/MAQeHt7/ZIks4fzX45OHZxToduPWOgrj25jz5cW6Q3V+7Rsp2Vqqhv1tdbyw/6OVEOQ/s2L9Pxx43W8cMGKC4q8DYUt9sMnTksQ811m7Sz3q7Hl1RpxOBSnTa4p9XRAAAAAASALv0W09zcrIkTJ/o6CxAUCioatLKgSjZDOm8UpRR8JyEqQpeOz9Wl43PV2OzRppJabSquUV2TR26PVw67TTlJ0cpJjlHtni2aMH6OBk5+MyALqTaGYei4ZI/WL/tKsUMn6/qXVujFaybo+D7JVkcDAAAAYLEu/SZz7bXX6pVXXtHdd9/t6zxAwHtnVessqYn9UtUzIcriNAhV0ZF2jc7podE5PQ56+8oi65foHS3DkMrff1SnTpmu5UVNuu7F5Xr3ppOUkxxjdTQAAAAAFupSKeVyufTMM8/o008/1ciRIxUR0fHMTnPnzvVJOCDQmKapN1bulsTSPaBTvB79+sQk3b+kUWv3VOvaecv1xg0TFecM3FleAAAAALpXl34bWLNmjUaPHi1JWrduXYfb2PQcoWzpjkrtrGhQbKRdZ43ItDoOEFScDkPP/HSsznvyG20qqdWvXl+lv80cGxAbswMAAADwvy6VUp9//rmvcwBB4V/LW2dJnTMyS7HM8AA6LTMxWs9cOVaXPvOt5m8o0T+/2aFrT+5rdSwAAAAAFuC3auAo1bpa9MHaIknSJeNzLE6DYFNQUKDy8oOfSa8r8vPzfTaWv43JTdLd5wzV3W+v04MfbdSEPikakZ1odSwgqDz11FN6+OGHVVRUpGHDhumxxx7TySefbHUsSdKNN97Y/u+//OUvFiYBAAAHE0g/q7tUSp122mmHXab32WefdTkQEKj+vaZIjS0e9UuL1XG5PayOgyBSUFCgwUOGqLGhwedj19XV+XxMf5g5IVffbCnXR+uLddOrK/Xvm09SfFTEkT8RgF5//XXNnj1bTz31lCZNmqS//e1vmjFjhjZs2KDc3FxLs33/TW7bx1a/2QUAAP8RaD+ru1RKte0n1aalpUWrVq3SunXrNGvWLF/kAgLOv5YXSpIuHZ/D3mnolPLycjU2NOiKOx5Wem4/n4yZv3ShPpz3uFwul0/G8zfDMPTgj0Zq7Z5q7apo0B/+na8HLx7ZqTF8PftMklJTUy3/pR44krlz5+qaa67RtddeK0l67LHH9PHHH+vpp5/WAw88YHE6AACAo9elUurRRx896PVz5swJ2r/aA4ezqbhW3xVUyW4zdOGYbKvjIEil5/ZT9oBhPhmrpGCbT8axUmJMhB69dLQufWaxXl9eqLNHZuqUgWlH9bndNfssOiZGG/PzKaYQsJqbm7VixQr99re/7XD9tGnTtGjRIotStfrhX16/fz2zpQAAsF4g/qz26Z5SM2fO1PHHH68///nPvhwW8KuDzb7424pqSdL4TKcKt6xXYSfGC+a9f4DudnyfZM06sbeeX7RTd765Vh//6hTFHcVJBLpj9llJwTa9/OBvVF5eTimFgFVeXi6Px6P09PQO16enp6u4uPiA45uamtTU1NT+cU1NTbfkOtSb3O/fTjEFAIB1AvVntU9LqcWLFysqKsqXQwJ+dbDZF0ZktLJvmCebM0bv/PlWvX7Lmi6NzSxC4OBuP3OQFmwsUWFlox74IF9/vHDEUX+uL2efAcHkh8vITdM86NLyBx54QPfee6+/YgEAAHRKl0qpiy66qMPHpmmqqKhIy5cv19133+2TYIAVDjb7YlutTav2ORTvMHXR7XPU2e2kgn3vH6C7xUQ69OBFI3X5P5bo5SUFunhstsbkJlkdCwhIqampstvtB8yKKi0tPWD2lCTdeeeduvXWW9s/rqmpUU4OZ5AFAACBoUulVGJix1N322w2DRo0SPfdd5+mTZvmk2CAldpmX5imqc+XFEhq1nF9eyonp0enxwqFvX+A7jaxf6ouOq6X3ly5R79/Z73evnGS7DZOKAD8UGRkpMaOHav58+frwgsvbL9+/vz5Ov/88w843ul0yul0dnuuv/zlL4ddFsDSPQAArBWoP6u7VEo999xzvs4BBKQ9VY2qrG9WhN3QkMx4q+MAIe3OGUM0f32J1u6p1uvLCnX5BPZ1Ag7m1ltv1ZVXXqlx48bpxBNP1DPPPKOCggJdf/31luY61JtdCikAAAJDIP6sPqY9pVasWKH8/HwZhqGhQ4dqzJgxvsoFBIRVhVWSpEEZ8XI67NaGAUJcWrxTvzpjoO779wY99PFGzRieoaTYSKtjAQHn0ksvVUVFhe677z4VFRVp+PDh+uCDD5SXl2d1NAAAgE6xdeWTSktLdfrpp2v8+PG65ZZbdNNNN2ns2LGaMmWKysrKfJ0RsERVQ7O2ldVLkkZn97A2DBAmfnpingZnxKuqoUWPL9hidRwgYN1www3auXOnmpqatGLFCp1yyilWR5J04F9amSUFAEBgCbSf1V2aKXXzzTerpqZG69ev15AhQyRJGzZs0KxZs3TLLbfo1Vdf9WlIwApts6TyUmKUEtf9+3EAkBx2m+4+Z6iu+McSvbxkl342qbfyUmKtjgWgE6x+cwsAAA4vkH5Wd2mm1EcffaSnn366vZCSpKFDh+ovf/mLPvzwQ5+FA6zS7JHW762RJB3HWcAAv5rUP1WnDExTi8fUwx9vsjoOAAAAgG7SpVLK6/UqIiLigOsjIiLk9XqPORRgte11Nrm9plLjIpWTFG11HCDs/PbMwTIM6d9rirR6/6xFAAAAAKGlS6XU6aefrl/+8pfau3dv+3V79uzRr371K02ZMsVn4QBL2B3aVte6qflxuUkyDE5LD/jb0KwEXTi6lyTpTx9utDgNAAAAgO7QpVLqySefVG1trXr37q1+/fqpf//+6tOnj2pra/XEE0/4OiPgV3HDp8jlMRTndGhgerzVcYCwdeu0gYq027R4e4UWb6uwOg4AAAAAH+vSRuc5OTlauXKl5s+fr40bN8o0TQ0dOlRTp071dT7Ar9xeU4kn/FiSNDYvSXYbs6QAq2QnxeiS8dl66dsCPb5gs07sd6LVkQAAAAD4UKdmSn322WcaOnSoampaN4A+44wzdPPNN+uWW27R+PHjNWzYMH311VfdEhTwh68KGuXokSGnzdSwrASr4wBh74bJ/RVhN/Tt9kp9u53ZUgAAAEAo6VQp9dhjj+nnP/+5EhIO/GU9MTFR1113nebOneuzcIA/ebym3syvkyQNSPAowt6l1a0AfCirR7QuHZ8jSXr80y0WpwEAAADgS51avrd69Wo9+OCDh7x92rRp+vOf/3zMoQArfLiuSHtqPfI01qpvttPqOLBQfn5+QI8Xbm6Y3F+vLyvU4u0VWrK9QhP6plgdCQAAAIAPdKqUKikpUURExKEHczhUVlZ2zKEAf/N4TT22fxZG7Yp3FTHoxxYnghVqKlv//5o5c2a3jF9XV9ct44a6rB7R+vG4HL2ypEB/XbiNUgoAAAAIEZ0qpXr16qW1a9eqf//+B719zZo1yszM9EkwwJ/eWbVHW0vrFBdpqGDZO9LllFLhqLGudb+8s6+7S4NGjvXZuPlLF+rDeY/L5XL5bMxw818n99WrSwv0+aYybSqutToOAAAAAB/oVCl11lln6fe//71mzJihqKioDrc1Njbqnnvu0TnnnOPTgEB3a/F422dJXTAoTuubGyxOBKulZOUpe8Awn41XUrDNZ2OFq96psZoxPEMfrC3WM19u1xUH/9sIAAAAgCDSqZ2c//u//1uVlZUaOHCgHnroIb3zzjt699139eCDD2rQoEGqrKzUXXfd1V1ZgW7xv8t3q6CyQalxTp01IMbqOAAO4bpT+klqndlY3uCxOA0AAACAY9WpmVLp6elatGiRfvGLX+jOO++UaZqSJMMwNH36dD311FNKT0/vlqBAd3C1ePTEZ62zpG48rZ+iHPssTgTgUEbl9NAJfZP17fZK/XtzvdVxAAAAAByjTpVSkpSXl6cPPvhA+/bt09atW2WapgYMGKCkpKTuyAd0q39+s0NF1S716hGtnxyfqw1rKaWAQHbdKf307fZKfbqjQUZE1JE/AQAAAEDA6nQp1SYpKUnjx4/3ZRbAryrrm/X05617/dw2faCiIuwWJwJwJKcOTFPf1FhtL69X7PDTrY4DAAAA4Bh0uZQCAkFBQYHKy8u79LnPflet2ia3+vRwKMdbopUrS5Wfn+/jhAB8yWYz9NMT8zTnvQ1KGHuu9q8iBwAAABCEKKUQtAoKCjR4yBA1NnT+bHmOHpnKuvZpGXaHvv3rHRp/5+oOt9fV1fkqJgAf+9HYbD34Yb6UkqNSV4tyrA4EAAAAoEsopRC0ysvL1djQoCvueFjpuf069bmLyhwqarQpPcqrH91+T/v1+UsX6sN5j8vlcvk6LgAfiY+K0Gm9o/XB1gZtrbVrrNWBAAAAAHQJpRSCXnpuP2UPGHbUx28vr1NRQZFshjRtdB8lx0a231ZSsK07IgLwsbMGxOqDrQ0qdhmqamhWj5jII38SAAAAgIBiszoA4E9uj1cLN5VJksbkJnUopAAEj6x4hxq3r5BkaN3eGqvjAAAAAOgCSimEleW79qnG5Vac06HjeydbHQfAMahd9ZEkacPeGnm87HgOAAAABBtKKYSN6sYWLd+1T5J08oBURTr49geCWeO2pYqymWps8Wh7GScnAAAAAIINv5UjbCzcXCaP11ROUrQG9IyzOg6AY+X1KC/OK0ks4QMAAACCEKUUwsL2sjrtKK+XzZAmD+opwzCsjgTAB/rEeSRJBZUNqm5ssTgNAAAAgM6glELIc3u8WriZzc2BUBTrkPKSYyRJ6/ZUW5wGAAAAQGdQSiHksbk5ENqG9UqQJOUX1cjLhucAAABA0KCUQkj7/ubmp7C5ORCS+qbGKSrCpvpmjwoqG6yOAwAAAOAo8Rs6Qtr3Nzfvz+bmQEiy2wwNTm+dLbWhiA3PAQAAgGBBKYWQxebmQPgYkhUvSdpeVi9Xi8fiNAAAAACOBqUUQhKbmwPhJS3OqdS4SHlMU5tLaq2OAwAAAOAoUEohJLG5ORBeDMPQkEyW8AEAAADBhFIKIaeqoZnNzYEwNDgjXjZDKqlpUkVdk9VxAAAAABwBv60j5Hy5pbx1c/NkNjcHwklMpEN5KbGSpE0s4QMAAAACHqUUQkqHzc0Hsrk5EG4GZ7RueL6puFamaVqcBgAAAMDhUEohZLC5OYA+qbGKsBuqcblVVO2yOg4AAACAw6CUQshYxubmQNiLsNvUL6112e6mYpbwAQAAAIHM0lLqyy+/1LnnnqusrCwZhqG33367w+2maWrOnDnKyspSdHS0Jk+erPXr13c4pqmpSTfffLNSU1MVGxur8847T7t37/bjo0AgqGpo1go2Nweg/yzh21JaJ4+XJXwAAABAoLL0N/f6+nqNGjVKTz755EFvf+ihhzR37lw9+eSTWrZsmTIyMnTGGWeotvY/f/2ePXu23nrrLb322mv6+uuvVVdXp3POOUcej8dfDwMWM01p4eYyNjcHIEnKSYpRdIRdjS0eFVQ2WB0HAAAAwCE4rLzzGTNmaMaMGQe9zTRNPfbYY7rrrrt00UUXSZLmzZun9PR0vfLKK7ruuutUXV2tZ599Vi+++KKmTp0qSXrppZeUk5OjTz/9VNOnT/fbY4F1ihoN7axoYHNzAJIkm83QoPR4rdpdpU3FteqTGmt1JAAAAAAHEbBrnHbs2KHi4mJNmzat/Tqn06lTTz1VixYtkiStWLFCLS0tHY7JysrS8OHD2485mKamJtXU1HS4IDgZjkit3tfarbK5OYA2AzNaZ0zuKK+X2+O1OA0AAACAgwnYUqq4uFiSlJ6e3uH69PT09tuKi4sVGRmppKSkQx5zMA888IASExPbLzk5OT5OD39JOOFiNXgMNjcH0EFGQpTinA41e7zaxRI+AAAAICAFbCnV5odLsUzTPOLyrCMdc+edd6q6urr9UlhY6JOs8K/iOrcSJ1wsic3NAXRkGEb7/nJbSussTgMAAADgYAL2t/iMjAxJOmDGU2lpafvsqYyMDDU3N2vfvn2HPOZgnE6nEhISOlwQfJ5fXSPDEameUV42NwdwgAH7/1/YUcYSPgAAACAQBWwp1adPH2VkZGj+/Pnt1zU3N2vhwoWaOHGiJGns2LGKiIjocExRUZHWrVvXfgxC09dbyrV0T5NMr0ejktxsbg7gAJmJ/1nCx1n4AAAAgMBj6dn36urqtHXr1vaPd+zYoVWrVik5OVm5ubmaPXu27r//fg0YMEADBgzQ/fffr5iYGF1++eWSpMTERF1zzTX69a9/rZSUFCUnJ+u2227TiBEj2s/Gh9Dj9nh173vrJUm1K99XQu8zLU4EIBC1LeFbVVilLaV16pvGjEoAAAAgkFhaSi1fvlynnXZa+8e33nqrJGnWrFl6/vnndfvtt6uxsVE33HCD9u3bpwkTJuiTTz5RfHx8++c8+uijcjgcuuSSS9TY2KgpU6bo+eefl91u9/vjgX+89O0ubSmtU3ykocKvX5YuopQCcHAD9pdS28vq5fZ65bAF7ARhAAAAIOxYWkpNnjxZpmke8nbDMDRnzhzNmTPnkMdERUXpiSee0BNPPNENCRFoKuubNXf+ZknS5cPj9bumeosTAQhkmYlRinXaVd/kUUFlg/qmMlsKAAAACBT8yRhB5dH5m1XjcmtwRrym9o2xOg6AAGcYhvrvX7a3tYSz8AEAAACBhFIKQSO/qEYvL9klSbrn3GGy29jcHMCRDejZuuR7W3m9PN5Dz84FAAAA4F+UUggKpmnqvvc2yGtKZ43I0In9UqyOBCBIZPWIUmykXc1uzsIHAAAABBJKKQSFT/NLtXh7hZwOm+6cMcTqOACCiGEY6tezdQnfltJai9MAAAAAaEMphYDn9nj14EcbJUnXnNRHOcnsJQWgcwbsL6W2l7GEDwAAAAgUlFIIeP+3Yre2ltapR0yErp/cz+o4AIJQVo9oxUTa1eT2qpAlfAAAAEBAoJRCQGts9ujRTzdLkm46rb8SoiIsTgQgGNm+dxa+LaWchQ8AAAAIBJRSCGj//GaHSmqalJ0UrStPzLM6DoAg1rav1I7yenlNlvABAAAAVqOUQsCqrG/WX7/YJkm6bdogOR12ixMBCGa9ekTL6bCpscWjomqX1XEAAACAsEcphYD1l8+3qrbJraGZCTpvVJbVcQAEObvNUO/UWEnS9jKW8AEAAABWo5RCQCqsbNCLi3dJkn47Y7BsNsPiRABCQb/9pdS2snqZLOEDAAAALEUphYD0yCeb1Ozx6qT+qTplYJrVcQCEiLyUWNkNQ9WNLaqsb7Y6DgAAABDWKKUQcDYW1+jtVXslSXecOdjiNABCSaTDpuzkaEnS9vJ6i9MAAAAA4Y1SCgHn/y3YIkk6e0SmRmQnWpwGQKjpl9p6Fr7tZZRSAAAAgJUopRBQNhbX6IO1xTIM6ZYpA6yOAyAE9Ulr3VequMaluia3xWkAAACA8EUphYDSNkvqrBGZGpQRb3EaAKEozulQeoJTkrSD2VIAAACAZSilEDA6zJI6nVlSALpPv7TWJXzbyussTgIAAACEL0opBAxmSQHwl76prUv4dlc2qtnttTgNAAAAEJ4opRAQNhXX6oO1xZKYJQWg+yXHRioxOkIe09SuCpbwAQAAAFaglEJA+P4Z95glBaC7GYahfvs3PN9WTikFAAAAWIFSCpbbVFyr99cWSeKMewD8p+/+faV2ltfL4zUtTgMAAACEH0opWI5ZUgCskJkYpegIu5rcXu2parQ6DgAAABB2KKVgqa2ldcySAmAJm2Goz/4Nz7eXcRY+AAAAwN8cVgdAePv7l9slSWcMTWeWFBDi8vPzA26svmmx2lBUox3l9eqX5pMhAQAAABwlSilYprTGpbe+2yNJuv7UvhanAdBdairLJEkzZ870+dh1dcc2wyk3OUZ2m6Eal1s1LYaPUgEAAAA4GpRSsMxzi3aq2ePVuLwkjc1LtjoOgG7SWFcjSTr7urs0aORYn4yZv3ShPpz3uFwu1zGNE2G3KTspWrsqGlTUSCkFAAAA+BOlFCxR1+TWS9/ukiT91ynMkgLCQUpWnrIHDPPJWCUF23wyjiT1TY3dX0qxzSIAAADgT7wDhyVeW1qgWpdbfdNiNXVIutVxAISxts3OK5sN2WISLU4DAAAAhA9KKfhdi8erZ7/eIUn6r5P7ymZjyQwA68RHRSgtzinJUHTfcVbHAQAAAMIGpRT87r3Ve1VU7VJavFMXjOlldRwAaJ8tFd3/eIuTAAAAAOGDUgp+ZZqmnvlyuyTpqom9FRVhtzgRAEh90vaXUr3HqMVjWpwGAAAACA+UUvCrhZvLtLG4VrGRds2ckGd1HACQJKXHOxVlM2Vzxmh9WbPVcQAAAICwQCkFv2qbJXXZ8blKjImwOA0AtDIMQxnRXknSsr0ui9MAAAAA4YFSCn6TX1SjRdsqZLcZuvqkPlbHAYAOMveXUsv3Nsk0WcIHAAAAdDdKKfjNC4t3SpLOHJahXj2irQ0DAD/QM8qUt6VJZQ0ebSqptToOAAAAEPIopeAXVQ3Neuu7PZKkWRN7WxsGAA7CYZNcu1ZLkhbkl1qcBgAAAAh9lFLwi/9dvluuFq8GZ8RrfO8kq+MAwEE1bl0qSfo0v8TiJAAAAEDoo5RCt/N4Tb3w7U5J0lUTe8swDGsDAcAhNG5fJklaVVil8romi9MAAAAAoY1SCt3ui02lKqxsVGJ0hM4f3cvqOABwSJ7aCvXp4ZBpSp9tZAkfAAAA0J0opdDtnl+0U5J06fgcRUfarQ0DAEcwPitKkrSAJXwAAABAt3JYHQCBp6CgQOXl5T4Za0+NW19tKZchaeaEPJ+MCQDdaVyWU//aUKevtpTL1eJRVARlOgAAANAdKKXQQUFBgQYPGaLGhgafjJc05b+UMO48ubYvl+pHSCm5PhkXALpL36QI9Yx3qrS2Sd9ur9DkQT2tjgQAAACEJEopdFBeXq7GhgZdccfDSs/td0xjtXilD/ZEyG1KVcveUXn5ucrNpZQCENhshqEpQ3rq1aWFWpBfSikFAAAAdBNKKRxUem4/ZQ8YdkxjrC6sktssU5zD1K6dq3wTDAD8YMrgdL26tFCfbSzVfabJWUMBAACAbsBG5+gWpmlqze5qSVK/eI8k09pAANAJk/qnyumwaU9VozYW11odBwAAAAhJlFLoFnurXKpsaJbDZigv1mt1HADolOhIu07qnyqJs/ABAAAA3YVSCt1i3d7WWVKDMuIVwXcZgCA0ZUi6JOnT/FKLkwAAAAChiboAPudq8WhLaZ0kaXhWosVpAKBrpgxp3eB89e4qldU2WZwGAAAACD2UUvC5TcW18nhNpcRFKj3BaXUcAOiS9IQojeiVKNOUPt/IbCkAQPiJiYk56L8BwFcopeBTpmm2L90bnpXIGasABLW22VKfsq8UACAM2Wy2g/4bAHyF/1ngUyU1TSqva5bdZmhwRrzVcQDgmEzdv6/UV1vK5WrxWJwGAAAACC2UUvCptllSA3rGKSrCbnEaADg2w7ISlJEQpcYWjxZvr7A6DgAAABBSKKXgM81urzaX1Epig3MAocEwDJ2+fwnfApbwAQAAAD5FKQWf2VxSqxaPqaSYCGX1iLI6DgD4xJTBraXUZ/mlMk3T4jQAAABA6KCUgs+0Ld0bxgbnAELIpP6pioqwaW+1SxuKaqyOAwAAAIQMSin4RFltk0pqmmQzpCGZbHAOIHRERdh1Uv9USdKC/FKL0wAAAAChw2F1AISGtllS/dLiFBN58G+r/Px8n96nr8cDgEOZMiRdn+aXasHGUt0yZYDVcQAAAICQQCmFY+b2eLWpuHWD82FZCQfcXlNZJkmaOXNmt9x/XV1dt4wLAG3a9pVaXVil0lqXesazbx4AAABwrCilcMy2l9erye1VfJRDuckxB9zeWNe6B8vZ192lQSPH+ux+85cu1IfzHpfL5fLZmABwMD0TojQyO1Frdlfr842lunR8rtWRAAAAgKBHKYVj1rbx75CMhMNucJ6SlafsAcN8dr8lBdt8NhYAHMmUwelas7tan+ZTSgEAAAC+QCmFY1LX5FZBRYMkNjgHEBoOtV9dL6NFkvTlplJ9u2yFIu1Hf5bR1NRU5eZSZAEAAADfRymFY7KxuEampMzEKPWIibQ6DgB02dHsf9frF89JCWk67bLr5dq+/KjHjo6J0cb8fIopAAAA4HsopdBlpmkqv6h1g/OhmQducA4AweRo9r9bWWnXjjrphJ/dreOSPUc1bknBNr384G9UXl5OKQUAAAB8D6UUuqyktkmV9c1y2AwNSI+zOg4A+MTh9r9rKa/XjtV7VdbiVK/+vQ+7jx4AAACAw7NZHQDBK39v66yCfmlxcjrsFqcBgO6XkxQth81QXZNbZXVNVscBAAAAghqlFLrE7fVqU0nr0j02OAcQLhx2m3KTYyRJO8rqLU4DAAAABDdKKXTJjrJ6Nbm9inM6lLP/FzQACAd90mIlSdvLKaUAAACAY0EphS7ZUNS6dG9wRrxs7KkCIIz0SWktpUprm1TX5LY4DQAAABC8KKXQafVNbu2qbJDEWfcAhJ9Yp0PpCU5J0k5mSwEAAABdRimFTttUXCvTlDISopQUG2l1HADwu76prWcc3UEpBQAAAHQZpRQ6bUNx69I9ZkkBCFd9UluX8BVUNsjt8VqcBgAAAAhOlFLolLLaJlXUNctuGBqQHmd1HACwRGpcpOKcDrm9pgr3NVodBwAAAAhKlFLolE3FtZKk3qkxioqwW5wGAKxhGEb7bKnt5XUWpwEAAACCE6UUjprXNLWppLWUGpzB0j0A4a3v/lJqZ3mDTNO0OA0AAAAQfCilcNT27GtUXZNbTodNvVNjrI4DAJbKTopWhN1QXZNbZbVNVscBAAAAgg6lFI7axv1L9wb0jJPDxrcOgPDmsNuUm9xa0G/nLHwAAABAp9Es4Ki4PV5tLW3dN4WlewDQqm1fqR2UUgAAAECnUUrhqGwvr1ezx6v4KIeyekRZHQcAAkLvlNZSqrS2SXVNbovTAAAAAMGFUgpHpW3p3uCMeBmGYXEaAAgMsU6HMhJai3pmSwEAAACdQymFI2ps9mhXResvW4PS4y1OAwCBhSV8AAAAQNdQSuGINpfWymtKPeOdSolzWh0HAAJK37TWUqqgskHNbq/FaQAAAIDgQSmFI9r0vaV7AICOUmIjlRgdIY/X1M4KZksBAAAAR4tSCodV1dCsomqXDEkDWboHAAcwDEP9e8ZJUvtZSgEAAAAcGaUUDqttllRucoxinQ6L0wBAYOqf1lpK7ayol9vDEj4AAADgaFBK4ZBM0+xw1j0AwMGlJzgV53SoxWOqoLLB6jgAAABAUKCUwiGV1DSpqrFFDpuhvvtnAQAADsQSPgAAAKDzKKVwSBuLayRJ/XrGKdLBtwoAHE7bEr7t5fXyeE2L0wAAAACBj6YBB+U1pc0lrX/tZ+keABxZZo8oRUfY1eT2avc+lvABAAAAR0IphYMqcRlqbPEoOsKu3KQYq+MAQMCzGYb6pcVKkraWsYQPAAAAOBJKKRxUYX3rt8agjHjZbIbFaQAgOLTtK7WttF5ekyV8AAAAwOFQSuEARmS09ja2fmuwdA8Ajl52UoycDpsaWzwqqnJZHQcAAAAIaJRSOEDMgBPlMQ0lxUSoZ7zT6jgAEDTsNkN9U1nCBwAAAByNgC6l5syZI8MwOlwyMjLabzdNU3PmzFFWVpaio6M1efJkrV+/3sLEoSF22GRJ0uCMBBkGS/cAoDPalvBtLa2TyRI+AAAA4JACupSSpGHDhqmoqKj9snbt2vbbHnroIc2dO1dPPvmkli1bpoyMDJ1xxhmqra21MHFwq2z0KCpvlKTW/aQAAJ2TmxyjCLuhuia3SmqarI4DAAAABKyAL6UcDocyMjLaL2lpaZJaZ0k99thjuuuuu3TRRRdp+PDhmjdvnhoaGvTKK69YnDp4fVXQKMNmV4rTq8ToCKvjAEDQcdht6p3CEj4AAADgSAK+lNqyZYuysrLUp08fXXbZZdq+fbskaceOHSouLta0adPaj3U6nTr11FO1aNGiw47Z1NSkmpqaDhe0+nJXoyQpN8ZrcRIACF4dl/BZHAYAAAAIUAFdSk2YMEEvvPCCPv74Y/39739XcXGxJk6cqIqKChUXF0uS0tPTO3xOenp6+22H8sADDygxMbH9kpOT022PIZhsKq7Vjiq3TE+LsimlAKDL+qTGymEzVN3Yon3N7M0HAAAAHExAl1IzZszQj370I40YMUJTp07V+++/L0maN29e+zE/3IjbNM0jbs595513qrq6uv1SWFjo+/BB6K3v9kiSGrctV6Td4jAAEMQi7Db1TWtdwlfYENA/agEAAADLBNU75djYWI0YMUJbtmxpPwvfD2dFlZaWHjB76oecTqcSEhI6XMKd12vqnVWtpVT9+s8tTgMAwW9QeuvJInY32CQxWwoAAAD4oaAqpZqampSfn6/MzEz16dNHGRkZmj9/fvvtzc3NWrhwoSZOnGhhyuC0ZEeliqpdiokw1LBtmdVxACDo5abEyOmwyeUx5MwZZnUcAAAAIOAEdCl12223aeHChdqxY4eWLFmiiy++WDU1NZo1a5YMw9Ds2bN1//3366233tK6det01VVXKSYmRpdffrnV0YPO2/uX7k3MjpI8LRanAYDg57DZ1C+tdcPz2CGnWJwGAAAACDwOqwMczu7du/WTn/xE5eXlSktL0wknnKBvv/1WeXl5kqTbb79djY2NuuGGG7Rv3z5NmDBBn3zyieLj4y1OHlxcLR59sLZIknRq72g9a3EeAAgVA9PjtKGoRjGDJsnt5TR8AAAAwPcFdCn12muvHfZ2wzA0Z84czZkzxz+BQtSC/FLVNrnVq0e0hqRGWh0HAEJGTlKMnDZTTTGJWlPSpOOtDgQAAAAEkIBevgf/aDvr3vmjs2Q7wpkLAQBHz2Yz1CvGK0n6ptBlcRoAAAAgsFBKhbnK+mZ9salUknThmF4WpwGA0JOzv5RassclV4vH4jQAAABA4KCUCnPvr9krt9fUsKwEDUhnLy4A8LUUpyl3TZkaWkx9sanM6jgAAABAwKCUCnNtS/eYJQUA3cMwpPr8LyVJ763Za3EaAAAAIHBQSoWxXRX1WllQJZshnTcqy+o4ABCyGvaXUgvyS1Tf5LY4DQAAABAYKKXC2Nvftf7FflL/VPVMiLI4DQCEruaSbcqMs8vV4tWn+SVWxwEAAAACAqVUmDJNU299t1sSS/cAwB9Oyo2WJL29f9k0AAAAEO4opcLUqsIq7axoUHSEXdOHZVgdBwBC3in7S6kvt5SrtNZlcRoAAADAepRSYaptg/Npw9IV63RYnAYAQl+vBIfG5PaQx2vqne/Y8BwAAACglApDrhaP3lnV+gvRRcdlW5wGAMLHxWNb/8/9vxW7ZZqmxWkAAAAAa1FKhaEF+aWqbmxRRkKUTuqfanUcAAgb54zMUqTDpk0ltVq/t8bqOAAAAIClKKXC0P+uKJQkXXRcL9lthsVpACB8JEZHaNrQdEmts6UAAACAcEYpFWaKq136cnOZpP8sIwEA+E/b/73vrNqjZrfX4jQAAACAdSilwsxb3+2R15TG5SWpb1qc1XEAIOycPCBN6QlO7Wto0WcbS62OAwAAAFiGUiqMmKbZvnTvx+OYJQUAVrDbDF0wppcklvABAAAgvFFKhZGVBVXaXlavqAibzhqRaXUcAAhbF+8/8+kXm0pVXtdkcRoAAADAGpRSYaTtL/JnDc9UfFSExWkAIHwNSI/XqOxEub2m3lm11+o4AAAAgCUopcJEY7NH/17d+ovPxSzdAwDLtW14zhI+AAAAhCtKqTDx8fpi1Ta5lZ0UrRP6pFgdBwDC3rmjshRptym/qEbr91ZbHQcAAADwO0qpMNH2l/gfHZctm82wOA0AoEdMpKYO7SlJ+t/lzJYCAABA+KGUCgN7qhr1zbZySf9ZLgIAsN6Px+VIkt5cuVuNzR6L0wAAAAD+RSkVBv5v+W6ZpnRi3xTlJMdYHQcAsN+pA9KUnRStGpdb761hw3MAAACEF0qpEOfxmnp9WYEk6ZLxzJICgEBisxm6fEKuJOnlJQUWpwEAAAD8i1IqxH2xqVR7q11KionQjOGZVscBAPzAJeNyFGE3tLqwSuv2sOE5AAAAwgelVIhr+8v7xWOzFRVhtzgNAOCHUuOc7X80eOnbXRanAQAAAPyHUiqE7d7XoM83lUqSfnJ8rsVpAACHcsX+JXzvrNqrGleLxWkAAAAA/6CUCmGvLS2UaUqT+qeob1qc1XEAAIdwfJ9kDUyPU2OLR2+t3GN1HAAAAMAvHFYHwLEpKChQeXn5Ade7vaZeWtw6S+rENI9Wrlx5VOPl5+f7NB8A4MgMw9AVE/J0z7vr9dK3u/TTE/NkGIbVsQAAAIBuRSkVxAoKCjR4yBA1NjQccFvMwIlKu/B38tTt080XnS95PZ0au66uzlcxAQBH4cLjeulPH27UltI6Ld1RqQl9U6yOBAAAAHQrSqkgVl5ersaGBl1xx8NKz+3X4bavSh0qdUlDsxJ0yRP/e9Rj5i9dqA/nPS6Xy+XruACAw0iIitD5o7P02rJCvbSkgFIKAAAAIY9SKgSk5/ZT9oBh7R9XNTSrtKD1DE4Th/dTQnTEUY9VUrDN5/kAAEdn5gl5em1ZoT5aV6TyuqFKjXNaHQkAAADoNpRSIWjdnhpJUu+UmE4VUgCA7nO0e/YNSI7QlsoWPfrOEv1oyKFPUpGamqrcXM6sCgAAgOBFKRVi3F6v1hdVS5JG9Eq0OA0AoKayTJI0c+bMozo+dvjpSj37Vs1btEP3//SaQ+4JGB0To435+RRTAAAACFqUUiFma2mdXC1exTkd6p0Sa3UcAAh7jXWts1fPvu4uDRo59ojHe0zpwz2mFJ+qH//pDeXEeg84pqRgm15+8DcqLy+nlAIAAEDQopQKMasKqyRJw3slyGbjdOIAEChSsvI67P93OGMcFfp2R6V2tcTqhP45Mgz+PwcAAEDosVkdAL5TVN2okpom2Q2DpXsAEMRGZCfKbjNUUtOkomrOhgoAAIDQRCkVQlYVVEmSBmbEKSaSSXAAEKxiIh0anBEvSfpu///tAAAAQKihlAoRta4WbSmrkySNyUmyOA0A4FiNzukhSdpWVqeqhmZrwwAAAADdgFIqRKzZXS3TlHr1iFZavNPqOACAY5Qa51ReSoxMSSuZLQUAAIAQRCkVAtxead2eakn/+cs6ACD4jctrnfm6oahGDc1ui9MAAAAAvkUpFQJ21tvkcnuVGB2hvmmxVscBAPhIrx7RSk9wyuM128+uCgAAAIQKSqlgZ9i0pcYuSTout4dsnDYcAEKGYRgal5csqXWZdrPba3EiAAAAwHcopYJczOCT1OAxFB1h19DMBKvjAAB8rG9arHrERKjJ7dXa/Uu1AQAAgFBAKRXETNNU4oQfSZJG5STKYefLCQChxmYY7XtLrSzYJ7eH2VIAAAAIDbQYQWx1SbMi0/vJbpgamd3D6jgAgG4yOCNB8VEONTR7tG5vjdVxAAAAAJ+glApi/5dfJ0nqHetVdITd4jQAgO5itxka37t1b6nluyrlMS0OBAAIC06n86D/BgBfcVgdAF3z7fYKbShrlulu0aAEfjsBgFA3JDNeS3dUqq7JrZ11/E0JAND9IiMjNXfu3PZ/A4Cv8a42SD3x2RZJUt2aTxRNtQgAIc9hs7XvLbWpxi7Z+c8fANC9DMOQ0+mU0+mUwVm+AXQDSqkgtGLXPn2ztUJ2Q6pe8n9WxwEA+MmwrATFOR1q9BiKH3Wm1XEAAACAY0IpFYT+34LWWVKTe0fLU1NmcRoAgL847DYd36d1b6nEiZfK5eZMfAAAAAhelFJBZtnOSi3cXCaHzdCPhsRZHQcA4GdDMxMU6zBlj03S+1sarI4DAAAAdBmlVBAxTVMPf7RJknTJ+BxlxLGfCACEG7vN0NBEjyTp7Y11qm5ssTgRAAAA0DWUUkFk4eYyLd1ZqUiHTbecPsDqOAAAi+TEeNVctkv1Laae+mKr1XEAAACALqGUChJer6mHP26dJTXrxDxlJEZZnAgAYBXDkKoWzpMkPffNTu3exzI+AAAABB9KqSDx/toird9bo9hIu34xub/VcQAAFmvctlTD0yLV7Pbqz/v/aAEAAAAEE0qpIOBq8ejBjzZKkv7rlH5Kjo20OBEAIBDMGp0gSXp71V6tLqyyNgwAAADQSZRSQaB1aUajMhKi9F+n9LU6DgAgQPRLitBFY3pJkv74fr5M07Q4EQAAAHD0KKUCXHldk/7yeesmtrefOUjRkXaLEwEAAslt0wcpKsKmpTsr9e7qvVbHAQAAAI4apVSAe+STzaprcmtkdqIuGN3L6jgAgACT1SNaN+7fa/D+D/JV1+S2OBEAAABwdCilAtiqwiq9tqxAkvTfZw+VzWZYnAgAEIh+fkpf5SbHqKSmSU98tsXqOAAAAMBRoZQKUB6vqf9+e61MU7poTC8d3yfZ6kgAgAAVFWHXPecOlSQ9+9UObS2ttTgRAAAAcGSUUgHq5SW7tG5PjeKjHLrzrCFWxwEABLgpQ9I1ZXBPub2mfvfmOnm9bHoOAACAwEYpFYBKa1x6+ONNkqTbpw9SWrzT4kQAgGBw7/nDFBNp19KdlXp1//JvAAAAIFBRSgUY0zR119vrVOtq3dz88gl5VkcCAASJ7KQY3TZtkCTpTx9sVEmNy+JEAAAAwKFRSgWYd1fv1fwNJYqwG3ro4pGys7k5AKATZk3srVE5PVTb5NZ/v71OpskyPgAAAAQmSqkAUlbbpHveXS9Juvn0ARqckWBxIgBAsLHbDP3pohGKsBuav6FEb67cY3UkAAAA4KAopQKEaZr63VtrVdXQoqGZCfrF5H5WRwIABKkhmQmaPXWgJGnOu+u1p6rR4kQAAADAgSilAsRLSwo0f0OJIu02/fnHoxRh50sDAOi6607pq+NyW5fx3fav1ZyNDwAAAAGH5iMAbCqu1R/+vUGSdPuZgzQ0i2V7AIBj47DbNPeS0YqOsGvx9gr99cttVkcCAAAAOqCUslhjs0e3vPqdmtxenTowTVdP6mN1JABAiOidGqt7zh0qSXrkk81atrPS4kQAAADAf1BKWcg0Td355hptKqlVapxTf/7xKNk42x4AwIcuHZ+jC0ZnyeM1dcur36myvtnqSAAAAIAkSilLPffNTr29aq/sNkNPXj5GafFOqyMBAEKMYRj644Uj1DctVkXVLv3yte/kYX8pAAAABABKKYt8u71Cf/wgX5L0u7OG6IS+KRYnAgCEqlinQ3+5/DhFRdj01ZZy/enDfKsjAQAAAJRSVthWVqfrXlwhj9fU+aOzdPWk3lZHAgCEuCGZCXrkx6MlSX//aofeWLHb2kAAAAAIew6rA4SLgoIClZeXq8rl0Z0LKlTd6NGA5Ahd1ter7777rktj5ufzl24AwNE7e2SmNhb31xOfbdWdb65VTnKMju+TbHUsAAAAhClKKT8oKCjQ4CFD5HKbSr/0j3JmDVTLvr367P/dpk8ba455/Lq6Oh+kBACEg19NHajNJbX6eH2Jrp23TP97/UQNyoi3OhYAAADCEKWUH5SXl8vV7NHwX7+gGsUq0mZq2tBUxf/5+WMaN3/pQn0473G5XC7fBAUAhDybzdDjl43RFf9YohW79mnWP5fqjRsmqlePaKujAQAAIMxQSvlBs8dU2kV3tRZSdpsuOq6X0hOijnnckoJtPkgHAAg3URF2PTtrnC7+62JtLa3TzH8s0as/P0EZicf+swkAAAA4Wmx03s1M09TcxfsU3ec42Y3Wjc19UUgBAHAsesRE6oWrj1d2UrR2lNfrJ3//VsXVzLwFAACA/1BKdTPDMDQxJ1repgZNSnMri+URAIAAkdUjWq/+/AT16tFaTF32zGIVVjZYHQsAAABhguV7fnBKXrR+/bdrlXaMe0gBAPB9vjoL692T4nT3583aWdGgHz29SM//7HgNzUrwydgAAADAoVBK+YnXB2fZAwBAkmoqyyRJM2fO9NmY9vgUZVzyPypVri7922I9PXOsThqQ6rPxAQAAgB+ilAIAIMg01rX+oePs6+7SoJFjfTJmScE2vfLYb3TmH9/ShrJm/fSfS3TnjCG69uQ+MgzDJ/cBAAAAfB+lFAAAQSolK0/ZA4b5bDyzqV6/PyVZ/7fTof9bsVt//CBfq3dX6f6LRighKsJn9wMAAABIbHQOAAC+J9Ju6OGLR+q+84fJYTP07zVFmvHYV1q6o9LqaAAAAAgxlFIAAKADwzD00xN76/XrTlBOcrT2VDXq0mcW6773NqiuyW11PAAAAIQISikAAHBQY/OS9eEvT9HFY7NlmtI/v9mhKY98ofdW75VpmlbHAwAAQJCjlAIAAIcU53Tozz8epReuPl55KTEqqWnSza9+p/Oe/EZfbSmjnAIAAECXUUoBAIAjOmVgmj6efYp+NXWgYiPtWrunWlc+u1QXPrVIH64tksdLOQUAAIDO4ex7AADgqERF2PXLqQN0xQm5evKzrXplaYFWFVbpFy+vVK8e0bp4bLYuHputnOSYbs9SUFCg8vJyn46Zmpqq3Nxcn44JAACAQ6OUAgAAnZIa59Sc84bpxtP668XFO/XCt7u0p6pRjy/YoscXbNGonB46c1iGpgzpqQE942QYhk/vv6CgQIOHDFFjQ4NPx42OidHG/HyKKQAAAD8JmVLqqaee0sMPP6yioiINGzZMjz32mE4++WSrYwEAEFTy8/M7dfzkVOnEM1O0dK9LC3Y0aG1Js1YXVml1YZUe/GijekTZNDY7XhMH99Ko7EQNzIhXQlTEMWUsLy9XY0ODrrjjYaXn9jumsSTJNKXiwm169c+/U0lpGaUUAACAn4REKfX6669r9uzZeuqppzRp0iT97W9/04wZM7RhwwbeWAIAcBRqKsskSTNnzjymceyxSYoecIJiBpwgZ85wVcmpBVurtWBrdfsxybGRyk2OUe+UGOWmxCotLlIJ0RFKiI5QYnSEEqIcirDbZDMMGYZkGIYMSU1ur1wtHm2qaJYzd4S8af3VmJAjt9dUi8erFo+pZo+39d/u1o9bPN7vXfef291eU17T1H/2aR+ivNve0uqSJo0/pmcAAAAARyskSqm5c+fqmmuu0bXXXitJeuyxx/Txxx/r6aef1gMPPGBxOgAAAl9jXY0k6ezr7tKgkWN9MqbHlLYW7tLXX32lqZdeo4JaqbS2SZX1zaqsb9aqwqouj53xkwe0qExSWbFPsrZhv3YAAAD/CfpSqrm5WStWrNBvf/vbDtdPmzZNixYtsigVAADBKSUrT9kDhvlsPLshvb/oNf3uid/ouOOOU12TW7sq6lVQ0aCdFQ0qqKzXvvoWVTe2qMa1/9Lolmf/TKbWiyRTcjpsckbYZTfdKty5Xem9chQTEyuHzZDDbijSblOE3aYIh23/v43Wj+02RTi+d7vdJofNaJ+JZTMMFe3YqL/8+gqNufgrnz12AAAAHF7Ql1Ll5eXyeDxKT0/vcH16erqKiw/+19OmpiY1NTW1f1xd3bqkoKamplsy1tXVSZJ2b1mvpkbfbcpaUrBNklS8c7O2xfrmTEfBMmZ3jRssY3bXuMEyZneNG+5Zefw8fl+PKUllu3dIklasWNH+81CSYiUNs0nDUiWlfv8zHDrS25NNm3bov35/o06e/T9KS+zznxs8+y/NB36OKalp/+VQOc3mRjU21Hfb+4G2cU3TuulYbffdXY8RAACgM+95DNPKd0Y+sHfvXvXq1UuLFi3SiSee2H79H//4R7344ovauHHjAZ8zZ84c3Xvvvf6MCQAAIEkqLCxUdna2Jfe9e/du5eTkWHLfAAAgvBzNe56gnymVmpoqu91+wKyo0tLSA2ZPtbnzzjt16623tn/s9XpVWVmplJQUn5+22hdqamqUk5OjwsJCJSQkWB0naPC8dR7PWdfwvHUNz1vX8Lx1XqA8Z6Zpqra2VllZWZZlyMrKUmFhoeLj47vtPU+gPN/+FI6PWQrPx81jDo/HLIXn4+Yxh8djlrr/cXfmPU/Ql1KRkZEaO3as5s+frwsvvLD9+vnz5+v8888/6Oc4nU45nc4O1/Xo0aM7Y/pEQkJCWL1QfIXnrfN4zrqG561reN66huet8wLhOUtMTLT0/m02m99maQXC8+1v4fiYpfB83Dzm8BGOj5vHHD6683Ef7XueoC+lJOnWW2/VlVdeqXHjxunEE0/UM888o4KCAl1//fVWRwMAAAAAAMBBhEQpdemll6qiokL33XefioqKNHz4cH3wwQfKy8uzOhoAAAAAAAAOIiRKKUm64YYbdMMNN1gdo1s4nU7dc889Byw5xOHxvHUez1nX8Lx1Dc9b1/C8dR7PmX+F4/Mdjo9ZCs/HzWMOH+H4uHnM4SOQHnfQn30PAAAAAAAAwcdmdQAAAAAAAACEH0opAAAAAAAA+B2lFAAAAAAAAPyOUipAPP300xo5cqQSEhKUkJCgE088UR9++GH77aZpas6cOcrKylJ0dLQmT56s9evXW5g4MD3wwAMyDEOzZ89uv47n7kBz5syRYRgdLhkZGe2385wd3J49ezRz5kylpKQoJiZGo0eP1ooVK9pv53k7UO/evQ/4XjMMQzfeeKMknrNDcbvd+u///m/16dNH0dHR6tu3r+677z55vd72Y3juDlRbW6vZs2crLy9P0dHRmjhxopYtW9Z+O8/ZkX355Zc699xzlZWVJcMw9Pbbb3e4vavP4RtvvKGhQ4fK6XRq6NCheuuttw445qmnnlKfPn0UFRWlsWPH6quvvvLVwzqs7njMf//733XyyScrKSlJSUlJmjp1qpYuXdrhmCP9LO5O3fGYn3/++YP+f+9yuTocZ9XXWeqexz158uSDPu6zzz67/ZhA/lq/+eabmj59ulJTU2UYhlatWnVU4wbza7orjznQX9NS9zzuQH9dd8djDubXdEtLi+644w6NGDFCsbGxysrK0k9/+lPt3bv3iONa+ZqmlAoQ2dnZ+tOf/qTly5dr+fLlOv3003X++ee3/yB86KGHNHfuXD355JNatmyZMjIydMYZZ6i2ttbi5IFj2bJleuaZZzRy5MgO1/PcHdywYcNUVFTUflm7dm37bTxnB9q3b58mTZqkiIgIffjhh9qwYYMeeeQR9ejRo/0YnrcDLVu2rMP32fz58yVJP/7xjyXxnB3Kgw8+qL/+9a968sknlZ+fr4ceekgPP/ywnnjiifZjeO4OdO2112r+/Pl68cUXtXbtWk2bNk1Tp07Vnj17JPGcHY36+nqNGjVKTz755EFv78pzuHjxYl166aW68sortXr1al155ZW65JJLtGTJkvZjXn/9dc2ePVt33XWXvvvuO5188smaMWOGCgoKfP4Yf6g7HvMXX3yhn/zkJ/r888+1ePFi5ebmatq0ae3fi20O97O4O3XHY5akhISEDo+nqKhIUVFR7bdb+XWWuudxv/nmmx0e77p162S329t/zrUJ1K91fX29Jk2apD/96U9HPWawv6a78pgD/TUtdc/jlgL7dd0djzmYX9MNDQ1auXKl7r77bq1cuVJvvvmmNm/erPPOO++wY1r+mjYRsJKSksx//OMfptfrNTMyMsw//elP7be5XC4zMTHR/Otf/2phwsBRW1trDhgwwJw/f7556qmnmr/85S9N0zR57g7hnnvuMUeNGnXQ23jODu6OO+4wTzrppEPezvN2dH75y1+a/fr1M71eL8/ZYZx99tnm1Vdf3eG6iy66yJw5c6Zpmny/HUxDQ4Npt9vNf//73x2uHzVqlHnXXXfxnHWBJPOtt95q/7irz+Ell1xinnnmmR2umz59unnZZZe1f3z88ceb119/fYdjBg8ebP72t789xkfROb56zD/kdrvN+Ph4c968ee3XHe5nsT/56jE/99xzZmJi4mHvK1C+zqbZfV/rRx991IyPjzfr6urarwvUr/X37dixw5Rkfvfdd0ccJ5hf09/Xmcf8Q4H8mjZN3z3uYHpdd9fXOlhf022WLl1qSjJ37dp1yGOsfk0zUyoAeTwevfbaa6qvr9eJJ56oHTt2qLi4WNOmTWs/xul06tRTT9WiRYssTBo4brzxRp199tmaOnVqh+t57g5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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1,2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['CustomerSince'], ax=axes[1] ,orient ='h',palette = 'Set3')\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "13.025537957522413 8.918212042477588\n",
+      "number of outliers : 0  , no outliers\n"
+     ]
+    }
+   ],
+   "source": [
+    "upper_limit = data['CustomerSince'].mean() + 3*data['CustomerSince'].std() \n",
+    "lower_limit = data['CustomerSince'].mean() - 3*data['CustomerSince'].std()\n",
+    "x = data[(data['CustomerSince']>upper_limit) | (data['CustomerSince']<lower_limit)]\n",
+    "data['CustomerSince'] = np.where(data['CustomerSince'] > upper_limit,upper_limit, \n",
+    "                              np.where(data['CustomerSince'] < lower_limit,lower_limit , data['CustomerSince'] ))\n",
+    "print(upper_limit ,lower_limit)\n",
+    "print('number of outliers :' ,x.shape[0] ,' , no outliers')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1,2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['TotalPurchases'], ax=axes[1] ,orient ='h',palette = 'Set3')\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "37.89357139595621 -8.169464253099065\n",
+      "number of outliers: 3 , Outliers are effectively capped\n"
+     ]
+    }
+   ],
+   "source": [
+    "upper_limit = data['TotalPurchases'].mean() + 3*data['TotalPurchases'].std() \n",
+    "lower_limit = data['TotalPurchases'].mean() - 3*data['TotalPurchases'].std() \n",
+    "x = data[(data['TotalPurchases']>upper_limit) | (data['TotalPurchases']<lower_limit)]\n",
+    "data['TotalPurchases'] = np.where(data['TotalPurchases'] > upper_limit,upper_limit, \n",
+    "                              np.where(data['TotalPurchases'] < lower_limit,lower_limit , data['TotalPurchases'] ))\n",
+    "print(upper_limit ,lower_limit)\n",
+    "print('number of outliers:', x.shape[0] , ', Outliers are effectively capped')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1,2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['TotalPurchases'], ax=axes[1] ,orient ='h',palette = 'Set3')\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Is_Parent\n",
+       "1    1602\n",
+       "0     638\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 160,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " data['Is_Parent'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"The variable 'Is_Parent' is constrained to binary values of 0 and 1, thereby precluding the presence of outliers.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "TotalSuccessfulCampaignsSuccess\n",
+       "0    1777\n",
+       "1     325\n",
+       "2      83\n",
+       "3      44\n",
+       "4      11\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 161,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data[ 'TotalSuccessfulCampaignsSuccess'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"The 'TotalSuccessfulCampaignsSuccess' variable is limited to a maximum value of 4, ensuring the absence of outliers.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1,2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['AnnualIncome'], ax=axes[1] ,orient ='h',palette = 'Set3')\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "118641.375 -15629.625\n",
+      "number of outliers: 8 , Outliers are effectively capped\n"
+     ]
+    }
+   ],
+   "source": [
+    "iqr  = data['AnnualIncome'].quantile(0.75) - data['AnnualIncome'].quantile(0.25)\n",
+    "upper_limit = data['AnnualIncome'].quantile(0.75) + 1.5*iqr\n",
+    "lower_limit = data['AnnualIncome'].quantile(0.25) - 1.5*iqr\n",
+    "x = data[(data['AnnualIncome']>upper_limit) | (data['AnnualIncome']<lower_limit)]\n",
+    "data['AnnualIncome'] = np.where(data['AnnualIncome'] > upper_limit,upper_limit, \n",
+    "                              np.where(data['AnnualIncome'] < lower_limit,lower_limit , data['AnnualIncome'] ))\n",
+    "print(upper_limit ,lower_limit )\n",
+    "print('number of outliers:', x.shape[0] , ', Outliers are effectively capped')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1,2, figsize=(12, 6))\n",
+    "sns.histplot(data=data['Age'], ax=axes[0] , kde = True)\n",
+    "axes[0].set_title('KDE Plot')\n",
+    "sns.boxplot(data=data['AnnualIncome'], ax=axes[1] ,orient ='h',palette = 'Set3')\n",
+    "axes[1].set_title('Boxplot')\n",
+    "plt.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\"Hence, all engineered features are devoid of outliers.\""
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -2030,12 +2331,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 165,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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q+fn5qXv37i7Lc1+f3NfjlltukST16NFDn3zyif78888827711lv1008/KS4uTgkJCUpNTb1kPbkKe25//fXXcjgcLu3yU5jXbt26dUpLS1PPnj1dntuyZUtVq1bNZdmSJUtUv359NW7c2OW9jIyMdBmynatt27by8/MzH+eeH3feeafL+3TheZOfwpzXhZGQkKCsrCw99NBDLsfgcDgUERHhcgwPP/ywDhw44DKZ1ezZsxUaGqo777xT0rlz7/jx4+rVq5fL9nJyctSpUydt2rSpwJEXtWrVUmBgoJ566inNnDlTO3bs+FvHBlgNoQ1AoZ0+fVrHjh1z+cPyQtddd51WrFih4OBgDRgwQNddd52uu+66Ql+DkqtSpUqFbhsaGlrgsmPHjhVpv0V17NixfGvNfY0u3H9QUJDL49zhi2fPni1wH8nJyTIMo0j7KYycnBzNmTNHYWFhatKkiU6cOKETJ06offv28vPz07vvvpvnORfWn3sM+dV/OcdakFdffVWPP/64mjVrps8++0zr16/Xpk2b1KlTp8vaXmFrPHr0qDw8PPI9x3LlvvYFvT8XvjcVKlTI087b2zvPcm9vb0nnwlrufrKysjRt2jR5eXm53O666y5Jcrku6EL79u1T69at9eeff+q1117T999/r02bNpnXw51/zJIKNeGOr6+vAgICXJYdO3ZMoaGheQJfcHCwPD09zdfj9ttv16JFi8w/+qtUqaL69evro48+Mp8zcuRIvfLKK1q/fr3uvPNOBQUFqV27dtq8efNF6yrKuX306FGFhYWpXLmC/yQq7GuXe2wX+0zKdfjwYf3888953kt/f38ZhpHnvSzo/LjUeZOfwpzXhZE7KdUtt9yS5zg+/vhjl2O48847ValSJfP6zeTkZC1evFgPPfSQOTQ8d3vdu3fPs72JEyfKMAxzqPSFnE6nvv32WzVu3FjPPPOMbrzxRoWFhWn06NH5XrMJXGm4pg1AoS1dulTZ2dmXvH6odevWat26tbKzs7V582ZNmzZNgwcPVkhIiO6///5C7asov/2WlJRU4LLcP8odDock5ZkI4WJ/5BZGUFBQvr/9lDvhxvnXMl2uwMBAlStXrtj3s2LFCvPb+PzC2Pr167Vjxw7Vq1evyNsuLLvdnuc9kfKG0Llz56pNmzZ68803XZaX9LUq1157rbKzs5WUlFTgFwm5r92hQ4fyBJ2DBw8WyzkgnTsPcntXC+ohqVGjRoHPX7RokU6fPq3PP//cpdcnMTHRpV3u9aWFmbwhv3+nQUFB2rBhgwzDcFl/5MgRZWVlubwe0dHRio6OVnp6utavX68JEyYoJiZG1atXV4sWLeTp6amhQ4dq6NChOnHihFasWKFnnnlGkZGR2r9/v3x9ffOtqyjn9rXXXqs1a9YoJyenwOBW2Ncud18FfSadPxlIxYoV5ePjU+CMlsV13uSnMOd1YeTW+Omnn+bpSbxQ7rn7+uuv68SJE5o/f77S09P18MMP59netGnTCpwpOCQkpMB9NGjQQAsWLJBhGPr55581Z84cjRs3Tj4+Pnr66aeLeniApdDTBqBQ9u3bp+HDh8vpdOrRRx8t1HM8PDzUrFkz89vo3KGKf6fHJT+//PKLfvrpJ5dl8+fPl7+/v26++WZJMv9Y+vnnn13a5TdTWkE9R/lp166dVq1alWdWxA8++EC+vr7F8hMFfn5+atasmT7//HOXunJycjR37lxVqVJF119/fZG3++6776pcuXJatGiRVq9e7XL78MMPJanEp0ivXr16nvdk1apVOnXqlMsym82WZ1KVn3/+ucR/ty932NaFYfF8d9xxh6RzwfJ8mzZt0s6dOwucOKGofH191bZtW23dulUNGzZU06ZN89zyCyi5cgPU+a+jYRiaNWuWS7uWLVvK6XRq5syZlxwOnZ927drp1KlTeX7UPfc30vJ7Pex2uyIiIjRx4kRJcpl5MNc111yj7t27a8CAATp+/PhFJ8woyrl95513Ki0tTXPmzClwe4V97Zo3by6Hw6F58+a5LF+7dm2e4YpRUVH6/fffFRQUlO97eTk/hl1YhTmvCyMyMlKenp76/fff8z2Gpk2burR/+OGHlZaWpo8++khz5sxRixYtdMMNN5jrW7VqpWuuuUY7duwocHu5PYkXY7PZ1KhRI02ZMkXXXHNNiQ+TB0oDPW0A8ti+fbt5LcGRI0f0/fffa/bs2fLw8NDChQvzzPR4vpkzZ2rVqlXq3LmzqlatqrS0NPOPo/bt20uS/P39Va1aNX3xxRdq166dKlSooIoVK172HylhYWHq2rWrxowZo0qVKmnu3Llavny5Jk6caH4Tf8stt6hOnToaPny4srKyFBgYqIULF+Y7/XeDBg30+eef680331STJk1Urly5PH985Bo9erSWLFmitm3b6vnnn1eFChU0b948LV26VJMmTZLT6bysY7rQhAkT1KFDB7Vt21bDhw+Xt7e3ZsyYoe3bt+ujjz4qUs+kdK4n64svvlBkZKSio6PzbTNlyhR98MEHmjBhgry8vIrjMPKIjY3Vc889p+eff14RERHasWOHpk+fnud1i4qK0v/93/9p9OjRioiI0K5duzRu3DjVqFFDWVlZJVKbdK7XODY2Vi+88IIOHz6sqKgo2e12bd26Vb6+vho4cKDq1KmjRx55RNOmTVO5cuV05513mrNHhoeHa8iQIcVWz2uvvabbbrtNrVu31uOPP67q1avr5MmT+s9//qMvv/zyojNzdujQQd7e3nrggQc0YsQIpaWl6c0331RycrJLu/Lly2vy5Mnq16+f2rdvr/79+yskJET/+c9/9NNPP2n69OkXrfGhhx7SG2+8oV69emnPnj1q0KCB1qxZo/Hjx+uuu+4yPweef/55HThwQO3atVOVKlV04sQJvfbaa/Ly8jJ/EL5Lly6qX7++mjZtqmuvvVZ79+7V1KlTVa1aNdWuXTvf/Rf13H7ggQc0e/ZsPfbYY9q1a5fatm2rnJwcbdiwQXXr1tX9999f6NcuMDBQw4cP1wsvvKB+/frpH//4h/bv32/ObHu+wYMH67PPPtPtt9+uIUOGqGHDhsrJydG+ffu0bNkyDRs2TM2aNbvoa325CnNe50pNTdWnn36aZxvXXnutIiIiNG7cOI0aNUp//PGHOnXqpMDAQB0+fFgbN26Un5+fxo4daz7nhhtuUIsWLTRhwgTt379fb7/9tss2y5cvr2nTpqlXr146fvy4unfvruDgYB09elQ//fSTjh49WmDQXLJkiWbMmKFu3bqpZs2aMgxDn3/+uU6cOKEOHToU0ysHuJG7ZkABYD25s3Hl3ry9vY3g4GAjIiLCGD9+vHHkyJE8z7lwRsd169YZd999t1GtWjXDbrcbQUFBRkREhLF48WKX561YscK46aabDLvdbkgyZwrM3d7Ro0cvuS/DODfLYOfOnY1PP/3UuPHGGw1vb2+jevXqxquvvprn+b/99pvRsWNHIyAgwLj22muNgQMHGkuXLs0ze+Tx48eN7t27G9dcc41hs9lc9ql8Zjvctm2b0aVLF8PpdBre3t5Go0aNjNmzZ7u0yW8GQ8P432yPF7bPz/fff2/ccccdhp+fn+Hj42M0b97cnHXtwu1davbI3BnmLjbTWu4sgJ999plhGP97rS8UERHhMiteQbOQ5jdTZ3p6ujFixAgjPDzc8PHxMSIiIozExMQ8s0emp6cbw4cPNypXrmw4HA7j5ptvNhYtWpRnVjzDKNrskReeZ/nNMpqdnW1MmTLFqF+/vuHt7W04nU6jRYsWLq99dna2MXHiROP66683vLy8jIoVKxoPPvigsX///jyvVX6z8RX02koyBgwY4LJs9+7dRp8+fYzKlSsbXl5exrXXXmu0bNnSeOGFF/I8/0Jffvml0ahRI8PhcBiVK1c2nnzySePrr7/O874YxrmZ/XJnW/T19TXq1atnTJw40Vzfq1cvw8/PL9/9HDt2zHjssceMSpUqGZ6enka1atWMkSNHGmlpaWabJUuWGHfeeadRuXJl87PmrrvuMr7//nuzzeTJk42WLVsaFStWNLy9vY2qVasaffv2Nfbs2VPgMV7OuX327Fnj+eefN2rXrm14e3sbQUFBxh133GGsXbu2yK9dTk6OMWHCBCM8PNzw9vY2GjZsaHz55Zd5/p0YhmGcOnXKePbZZ406deqY51aDBg2MIUOGGElJSWa7gs6D/P6t53e+5/fvpDDnde5sp/ndzj+WRYsWGW3btjUCAgIMu91uVKtWzejevbuxYsWKPK/922+/bUgyfHx88syCmuvbb781OnfubFSoUMHw8vIyKleubHTu3NnlmC78t/rrr78aDzzwgHHdddcZPj4+htPpNG699VZjzpw5+e4DuNLYDOMyxj4AAAAAAEoF17QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyMH9cuZTk5OTp48KD8/f2L/GO4AAAAAK4ehmHo5MmTCgsLU7lyBfenEdpK2cGDBxUeHu7uMgAAAABYxP79+1WlSpUC1xPaSpm/v7+kc29MQECAm6sBAAAA4C6pqakKDw83M0JBCG2lLHdIZEBAAKENAAAAwCUvm2IiEgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAW5tbQ9t1336lLly4KCwuTzWbTokWLzHWZmZl66qmn1KBBA/n5+SksLEwPPfSQDh486LKN9PR0DRw4UBUrVpSfn5+6du2qAwcOuLRJTk5WbGysnE6nnE6nYmNjdeLECZc2+/btU5cuXeTn56eKFStq0KBBysjIcGmzbds2RUREyMfHR5UrV9a4ceNkGEaxviYAAAAAcD63hrbTp0+rUaNGmj59ep51Z86c0Y8//qjnnntOP/74oz7//HP99ttv6tq1q0u7wYMHa+HChVqwYIHWrFmjU6dOKSoqStnZ2WabmJgYJSYmKj4+XvHx8UpMTFRsbKy5Pjs7W507d9bp06e1Zs0aLViwQJ999pmGDRtmtklNTVWHDh0UFhamTZs2adq0aXrllVf06quvlsArAwAAAADn2AyLdBXZbDYtXLhQ3bp1K7DNpk2bdOutt2rv3r2qWrWqUlJSdO211+rDDz/UfffdJ0k6ePCgwsPD9dVXXykyMlI7d+5UvXr1tH79ejVr1kyStH79erVo0UK//vqr6tSpo6+//lpRUVHav3+/wsLCJEkLFixQ7969deTIEQUEBOjNN9/UyJEjdfjwYdntdknSSy+9pGnTpunAgQOy2WyFOs7U1FQ5nU6lpKQoICDgb7xiAAAAAK5khc0GV9Q1bSkpKbLZbLrmmmskSVu2bFFmZqY6duxotgkLC1P9+vW1du1aSdK6devkdDrNwCZJzZs3l9PpdGlTv359M7BJUmRkpNLT07VlyxazTUREhBnYctscPHhQe/bsKbDm9PR0paamutwAAAAAoLCumNCWlpamp59+WjExMWYKTUpKkre3twIDA13ahoSEKCkpyWwTHBycZ3vBwcEubUJCQlzWBwYGytvb+6Jtch/ntsnPhAkTzGvpnE6nwsPDi3LYAAAAAMq4KyK0ZWZm6v7771dOTo5mzJhxyfaGYbgMV8xv6GJxtMkdWXqxoZEjR45USkqKedu/f/8l6wcAAACAXJYPbZmZmerRo4d2796t5cuXu4z1DA0NVUZGhpKTk12ec+TIEbMXLDQ0VIcPH86z3aNHj7q0ubC3LDk5WZmZmRdtc+TIEUnK0wN3PrvdroCAAJcbAAAAABSWpUNbbmD797//rRUrVigoKMhlfZMmTeTl5aXly5ebyw4dOqTt27erZcuWkqQWLVooJSVFGzduNNts2LBBKSkpLm22b9+uQ4cOmW2WLVsmu92uJk2amG2+++47l58BWLZsmcLCwlS9evViP3YApW/AgAG6/fbbNWDAAHeXgqvcDz/8oH/84x/64Ycf3F0KAOAK4NbQdurUKSUmJioxMVGStHv3biUmJmrfvn3KyspS9+7dtXnzZs2bN0/Z2dlKSkpSUlKSGZycTqf69u2rYcOGaeXKldq6dasefPBBNWjQQO3bt5ck1a1bV506dVL//v21fv16rV+/Xv3791dUVJTq1KkjSerYsaPq1aun2NhYbd26VStXrtTw4cPVv39/s2csJiZGdrtdvXv31vbt27Vw4UKNHz9eQ4cOLfTMkQCsa9++fdq2bZukc7/JuG/fPjdXhKtVWlqaJk+erMOHD2vy5MlKS0tzd0kAAItz65T/33zzjdq2bZtnea9evTRmzBjVqFEj3+etXr1abdq0kXTuP78nn3xS8+fP19mzZ9WuXTvNmDHDZcKP48ePa9CgQVq8eLEkqWvXrpo+fbo5C6V07g+2uLg4rVq1Sj4+PoqJidErr7ziMlvktm3bNGDAAG3cuFGBgYF67LHH9PzzzxcptDHlP2BNnTp10pkzZ8zHvr6+io+Pd2NFuFq98847+vDDD83rph966CH17dvX3WUBANygsNnAMr/TVlZciaHNMAy3fRNsGIbS09Mlnbs+0F29mg6Hgx7Vq9i8efP01ltv5Vn+6KOPqmfPnm6oCFerAwcOKDY2VtnZ2eYyT09PffDBB6pSpYobKwMAuAOhzaKuxNB29uxZRUZGursMt0pISJCPj4+7y0AJyMrK0h133FHg+lWrVsnT07MUK8LVyjAMDR8+XD/++KNLaPPw8NDNN9+sV155hS+HAKCMuSp/XBsAitucOXP+1nqgsPbu3atNmza5BDZJys7O1qZNm7R37143VQYAsDq+PsYlORwOJSQkuGXfaWlpio6OliR98cUXcjgcbqnDXftFyevdu7c++OCDi64HikO1atV0yy235NvT1qRJE1WrVs2N1QEArIzQhkuy2WyWGBrocDgsUQeuLp6ennr00UfzvaYtLi6OoZEoNjabTUOGDFFsbGy+yxkaCQAoCMMjAZR5PXv2lK+vr8syX19f3X///W6qCFerKlWqqGfPnmZAs9ls6tmzpypXruzmygAAVkZoAwBJb7/99kUfA8XlwQcfVFBQkCSpYsWKzFAKALgkQhsASKpataoaNGggSWrQoIGqVq3q5opwtXI4HBo2bJhCQkI0dOhQrpkFAFwSF2sAwH+98cYb7i4BZUSrVq3UqlUrd5cBALhC0NMGAAAAABZGaAMAAAAACyO0AQAAAICFEdoAAAAAwMIIbQAAAABgYYQ2AAAAALAwQhsAAAAAWBihDQAAAAAsjNAGAAAAABZGaAMAAAAACyO0AQAAAICFEdoAAAAAwMIIbQAAAABgYYQ2AAAAALAwQhsAAAAAWBihDQAAAAAsjNAGAAAAABZGaAOA//rhhx/0j3/8Qz/88IO7SwEAADAR2gBAUlpamiZPnqzDhw9r8uTJSktLc3dJAAAAkghtACBJmjt3ro4dOyZJOnbsmObNm+fmigAAAM4htAEo8w4cOKB58+bJMAxJkmEYmjdvng4cOODmygAAAAhtAMo4wzA0ZcqUApfnBjkAAAB3IbQBKNP27t2rTZs2KTs722V5dna2Nm3apL1797qpMgAAgHMIbQDKtGrVqumWW26Rh4eHy3IPDw/deuutqlatmpsqAwAAOIfQBqBMs9lsGjJkSIHLbTabG6oCAAD4H0IbgDKvSpUq6tmzpxnQbDabevbsqcqVK7u5MgAAAEIbAEiSHnzwQQUFBUmSKlasqJ49e7q5IgAAgHMIbQAgyeFwaNiwYQoJCdHQoUPlcDjcXRIAAIAkydPdBQCAVbRq1UqtWrVydxkAAAAu6GkDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGe7i4AAHIZhqG0tDS37Ts9PV2SZLfbZbPZ3FKHw+Fw274BAIA1EdoAWEZaWpoiIyPdXYZbJSQkyMfHx91lAAAAC2F4JAAAAABYGD1tACzD4XAoISHBLftOS0tTdHS0JOmLL76Qw+FwSx3u2i8AALAuQhsAy7DZbJYYGuhwOCxRBwAAgMTwSAAAAACwNEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhbk1tH333Xfq0qWLwsLCZLPZtGjRIpf1hmFozJgxCgsLk4+Pj9q0aaNffvnFpU16eroGDhyoihUrys/PT127dtWBAwdc2iQnJys2NlZOp1NOp1OxsbE6ceKES5t9+/apS5cu8vPzU8WKFTVo0CBlZGS4tNm2bZsiIiLk4+OjypUra9y4cTIMo9heDwAAAAC4kFtD2+nTp9WoUSNNnz493/WTJk3Sq6++qunTp2vTpk0KDQ1Vhw4ddPLkSbPN4MGDtXDhQi1YsEBr1qzRqVOnFBUVpezsbLNNTEyMEhMTFR8fr/j4eCUmJio2NtZcn52drc6dO+v06dNas2aNFixYoM8++0zDhg0z26SmpqpDhw4KCwvTpk2bNG3aNL3yyit69dVXS+CVAQAAAID/MixCkrFw4ULzcU5OjhEaGmq89NJL5rK0tDTD6XQaM2fONAzDME6cOGF4eXkZCxYsMNv8+eefRrly5Yz4+HjDMAxjx44dhiRj/fr1Zpt169YZkoxff/3VMAzD+Oqrr4xy5coZf/75p9nmo48+Mux2u5GSkmIYhmHMmDHDcDqdRlpamtlmwoQJRlhYmJGTk1Po40xJSTEkmdvFxZ05c8Zo3bq10bp1a+PMmTPuLgdXMc41AABQ2gqbDSx7Tdvu3buVlJSkjh07msvsdrsiIiK0du1aSdKWLVuUmZnp0iYsLEz169c326xbt05Op1PNmjUz2zRv3lxOp9OlTf369RUWFma2iYyMVHp6urZs2WK2iYiIkN1ud2lz8OBB7dmzp8DjSE9PV2pqqssNAAAAAArLsqEtKSlJkhQSEuKyPCQkxFyXlJQkb29vBQYGXrRNcHBwnu0HBwe7tLlwP4GBgfL29r5om9zHuW3yM2HCBPNaOqfTqfDw8IsfOAAAAACcx7KhLZfNZnN5bBhGnmUXurBNfu2Lo43x30lILlbPyJEjlZKSYt72799/0doBAAAA4HyWDW2hoaGS8vZiHTlyxOzhCg0NVUZGhpKTky/a5vDhw3m2f/ToUZc2F+4nOTlZmZmZF21z5MgRSXl7A89nt9sVEBDgcgMAAACAwrJsaKtRo4ZCQ0O1fPlyc1lGRoa+/fZbtWzZUpLUpEkTeXl5ubQ5dOiQtm/fbrZp0aKFUlJStHHjRrPNhg0blJKS4tJm+/btOnTokNlm2bJlstvtatKkidnmu+++c/kZgGXLliksLEzVq1cv/hcAAAAAAOTm0Hbq1CklJiYqMTFR0rnJRxITE7Vv3z7ZbDYNHjxY48eP18KFC7V9+3b17t1bvr6+iomJkSQ5nU717dtXw4YN08qVK7V161Y9+OCDatCggdq3by9Jqlu3rjp16qT+/ftr/fr1Wr9+vfr376+oqCjVqVNHktSxY0fVq1dPsbGx2rp1q1auXKnhw4erf//+Zs9YTEyM7Ha7evfure3bt2vhwoUaP368hg4desnhmgAAAABwuTzdufPNmzerbdu25uOhQ4dKknr16qU5c+ZoxIgROnv2rOLi4pScnKxmzZpp2bJl8vf3N58zZcoUeXp6qkePHjp79qzatWunOXPmyMPDw2wzb948DRo0yJxlsmvXri6/Defh4aGlS5cqLi5OrVq1ko+Pj2JiYvTKK6+YbZxOp5YvX64BAwaoadOmCgwM1NChQ82aAQAAAKAk2Izc2TRQKlJTU+V0OpWSksL1bYVw9uxZRUZGSpISEhLk4+Pj5opwteJcK1sMw1BaWprb9p2eni7p3HXP7hqt4XA4GCkCAG5W2Gzg1p42AADcIS0tzQzpZRVfTgDAlcOyE5EAAAAAAOhpAwCUQQ6HQwkJCW7Zd1pamqKjoyVJX3zxhRwOh1vqcNd+AQBFR2gDAJQ5NpvNEkMDHQ6HJeoAAFgbwyMBAAAAwMIIbQAAAABgYYQ2AAAAALAwQhsAAAAAWBihDQAAAAAsjNAGAAAAABZGaAMAAAAACyO0AQAAAICF8ePaAAAAwBXOMAylpaW5bd/p6emSJLvdLpvN5pY6HA6H2/Zd0ghtAAAAwBUuLS1NkZGR7i7DrRISEuTj4+PuMkoEwyMBAAAAwMLoaQMAAACucA6HQwkJCW7Zd1pamqKjoyVJX3zxhRwOh1vqcNd+SwOhDQAAALjC2Ww2SwwNdDgclqjjasPwSAAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWZunQlpWVpWeffVY1atSQj4+PatasqXHjxiknJ8dsYxiGxowZo7CwMPn4+KhNmzb65ZdfXLaTnp6ugQMHqmLFivLz81PXrl114MABlzbJycmKjY2V0+mU0+lUbGysTpw44dJm37596tKli/z8/FSxYkUNGjRIGRkZJXb8AAAAAGDp0DZx4kTNnDlT06dP186dOzVp0iS9/PLLmjZtmtlm0qRJevXVVzV9+nRt2rRJoaGh6tChg06ePGm2GTx4sBYuXKgFCxZozZo1OnXqlKKiopSdnW22iYmJUWJiouLj4xUfH6/ExETFxsaa67Ozs9W5c2edPn1aa9as0YIFC/TZZ59p2LBhpfNiAAAAACiTPN1dwMWsW7dO0dHR6ty5sySpevXq+uijj7R582ZJ53rZpk6dqlGjRumee+6RJL3//vsKCQnR/Pnz9eijjyolJUXvvvuuPvzwQ7Vv316SNHfuXIWHh2vFihWKjIzUzp07FR8fr/Xr16tZs2aSpFmzZqlFixbatWuX6tSpo2XLlmnHjh3av3+/wsLCJEmTJ09W79699eKLLyogIKC0Xx4AAAAAZYCle9puu+02rVy5Ur/99psk6aefftKaNWt01113SZJ2796tpKQkdezY0XyO3W5XRESE1q5dK0nasmWLMjMzXdqEhYWpfv36Zpt169bJ6XSagU2SmjdvLqfT6dKmfv36ZmCTpMjISKWnp2vLli0FHkN6erpSU1NdbgAAAABQWJbuaXvqqaeUkpKiG264QR4eHsrOztaLL76oBx54QJKUlJQkSQoJCXF5XkhIiPbu3Wu28fb2VmBgYJ42uc9PSkpScHBwnv0HBwe7tLlwP4GBgfL29jbb5GfChAkaO3ZsUQ4bAAAAAEyW7mn7+OOPNXfuXM2fP18//vij3n//fb3yyit6//33XdrZbDaXx4Zh5Fl2oQvb5Nf+ctpcaOTIkUpJSTFv+/fvv2hdAAAAAHA+S/e0Pfnkk3r66ad1//33S5IaNGigvXv3asKECerVq5dCQ0MlnesFq1Spkvm8I0eOmL1ioaGhysjIUHJysktv25EjR9SyZUuzzeHDh/Ps/+jRoy7b2bBhg8v65ORkZWZm5umBO5/dbpfdbr+cwwcAAAAAa/e0nTlzRuXKuZbo4eFhTvlfo0YNhYaGavny5eb6jIwMffvtt2Yga9Kkiby8vFzaHDp0SNu3bzfbtGjRQikpKdq4caPZZsOGDUpJSXFps337dh06dMhss2zZMtntdjVp0qSYjxwAAAAAzrF0T1uXLl304osvqmrVqrrxxhu1detWvfrqq+rTp4+kc8MVBw8erPHjx6t27dqqXbu2xo8fL19fX8XExEiSnE6n+vbtq2HDhikoKEgVKlTQ8OHD1aBBA3M2ybp166pTp07q37+/3nrrLUnSI488oqioKNWpU0eS1LFjR9WrV0+xsbF6+eWXdfz4cQ0fPlz9+/dn5kgAAAAAJcbSoW3atGl67rnnFBcXpyNHjigsLEyPPvqonn/+ebPNiBEjdPbsWcXFxSk5OVnNmjXTsmXL5O/vb7aZMmWKPD091aNHD509e1bt2rXTnDlz5OHhYbaZN2+eBg0aZM4y2bVrV02fPt1c7+HhoaVLlyouLk6tWrWSj4+PYmJi9Morr5TCKwEAAACgrLIZhmG4u4iyJDU1VU6nUykpKfTQFcLZs2cVGRkpSUpISJCPj4+bK8LVinMNpYVzDcDVhs+1y1fYbGDpa9oAAAAAoKwjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhXkW9Qnp6enauHGj9uzZozNnzujaa6/VTTfdpBo1apREfQAAAABQphU6tK1du1bTpk3TokWLlJGRoWuuuUY+Pj46fvy40tPTVbNmTT3yyCN67LHH5O/vX5I1AwAAAECZUajhkdHR0erevbsqV66shIQEnTx5UseOHdOBAwd05swZ/fvf/9azzz6rlStX6vrrr9fy5ctLum4AAAAAKBMK1dPWsWNH/etf/5K3t3e+62vWrKmaNWuqV69e+uWXX3Tw4MFiLRKSYRhKS0tzdxml7vxjLovHL0kOh0M2m83dZQAAAMBNChXaBgwYUOgN3njjjbrxxhsvuyDkLy0tTZGRke4uw62io6PdXYJbJCQkyMfHx91lAAAAwE2KZfbI7Ozs4tgMAAAAAOACRZo9cs2aNTp79qw6dOggSTpy5IjuuecerV+/Xo0aNdKCBQtUu3btEikU/3P65p5SuSJP/HllMgwpJ+vc/XKeUlkZJpiTJb8f57ll1wzFZSguAACwliL95f/cc88pJibGfDx69GhlZGRo0aJFeuutt/TPf/5TX331VbEXiQuU85Q8vNxdRSnK/1pKlAyG4jIUFwAAWEuRQtuuXbvUpEkT8/HixYs1b948tWnTRo0aNVKjRo2KvUAAAAAAKMsKFdoefvhhSdLx48c1fvx4+fv769ixY/rrr7/0wQcf6IMPPlBOTo5OnjypPn36SJLee++9kqsaQKl44/YTsnsY7i6jVBiGlJFz7r53ubIzEjc926YB313j7jIAAMBFFCq0zZ49W5K0efNmtWvXTo8//rgmTZqklJQUM5wdOHBACQkJhDXgKmL3MOTwcHcVpadsDgwsG6EcAIArWZGGRz7++OMaOHCgpk6dqj/++EOff/65uW7ZsmW69dZbi71AAAAAACjLihTa4uLidMMNN2jr1q1q0aKFWrZsaa7z9vbWyJEji71AAAAAACjLijxv/B133KE77rgjz/IHH3ywWAoCAAAAAPxPoX5c+/Tp00XaaFHbAwAAAADyV6jQVqtWLY0fP14HDx4ssI1hGFq+fLnuvPNOvf7668VWIAAAAACUZYUaHvnNN9/o2Wef1dixY9W4cWM1bdpUYWFhcjgcSk5O1o4dO7Ru3Tp5eXlp5MiReuSRR0q6bgAAAAAoEwoV2urUqaN//etfOnDggP71r3/pu+++09q1a3X27FlVrFhRN910k2bNmqW77rpL5coVqvMOAAAAAFAIRZqIpEqVKhoyZIiGDBlSUvUAAAAAAM5DtxgAAAAAWBihDQAAAAAsrMi/0wYAQHEwDENpaWnuLqPUnX/MZfH4JcnhcMhms7m7DAC4YhDaAABukZaWpsjISHeX4VbR0dHuLsEtEhIS5OPj4+4yAOCKwfBIAAAAALCwy+pp+/777/XWW2/p999/16effqrKlSvrww8/VI0aNXTbbbcVd40AgKtcdpfssjP2w5CU/d/7HpLKyijBLMnjSw93VwEAV6Qi97R99tlnioyMlI+Pj7Zu3ar09HRJ0smTJzV+/PhiLxAAUAZ4lqGblyTHf29eFqinNG8AgMtS5ND2wgsvaObMmZo1a5a8vLzM5S1bttSPP/5YrMUBAAAAQFlX5NC2a9cu3X777XmWBwQE6MSJE8VREwAAAADgv4oc2ipVqqT//Oc/eZavWbNGNWvWLJaiAAAAAADnFDm0Pfroo/rnP/+pDRs2yGaz6eDBg5o3b56GDx+uuLi4kqgRAAAAAMqsIl8WPGLECKWkpKht27ZKS0vT7bffLrvdruHDh+uJJ54oiRoBAAAAyzMMQ2lpae4uo9Sdf8xl8fglyeFwyGYruemAL2supxdffFGjRo3Sjh07lJOTo3r16ql8+fLFXRsAAABwxUhLS1NkZKS7y3Cr6Ohod5fgFgkJCfLx8Smx7V/2BLy+vr5q2rRpcdYCAAAAALhAkUNbWlqapk2bptWrV+vIkSPKyclxWc+0/wAAACjrujaOk2c5r0s3vAoYhqHsnCxJkkc5zxIdJmglWTmZWpw4o1T2VeTQ1qdPHy1fvlzdu3fXrbfeWmbeFAAAAKCwPMt5ydPD291llBov2d1dwlWtyKFt6dKl+uqrr9SqVauSqAcAAAAAcJ4iT/lfuXJl+fv7l0QtAAAAAIALFDm0TZ48WU899ZT27t1bEvUAAAAAAM5T5OGRTZs2VVpammrWrClfX195ebleYHn8+PFiKw4AAAAAyroih7YHHnhAf/75p8aPH6+QkBAmIgEAAACAElTk0LZ27VqtW7dOjRo1Kol6AAAAAADnKfI1bTfccIPOnj1bErUAAAAAAC5Q5ND20ksvadiwYfrmm2907NgxpaamutwAAAAAAMWnyMMjO3XqJElq166dy3LDMGSz2ZSdnV08lQEAAAAAih7aVq9eXRJ1AAAAAADyUeTQFhERURJ1AAAAAADyUeTQJkknTpzQu+++q507d8pms6levXrq06ePnE5ncdcHAAAAAGVakSci2bx5s6677jpNmTJFx48f119//aVXX31V1113nX788ceSqBEAAAAAyqwi97QNGTJEXbt21axZs+Tpee7pWVlZ6tevnwYPHqzvvvuu2IsEAAAAgLKqyKFt8+bNLoFNkjw9PTVixAg1bdq0WIsDAAAAgLKuyMMjAwICtG/fvjzL9+/fL39//2IpCgAAAABwTpFD23333ae+ffvq448/1v79+3XgwAEtWLBA/fr10wMPPFASNQIAAABAmVXk4ZGvvPKKbDabHnroIWVlZUmSvLy89Pjjj+ull14q9gIBAAAAoCwrcmjz9vbWa6+9pgkTJuj333+XYRiqVauWfH19S6I+AAAAACjTihzaUlJSlJ2drQoVKqhBgwbm8uPHj8vT01MBAQHFWiAAAAAAlGVFvqbt/vvv14IFC/Is/+STT3T//fcXS1EAAAAAgHOKHNo2bNigtm3b5lnepk0bbdiwoViKAgAAAACcU+TQlp6ebk5Acr7MzEydPXu2WIoCAAAAAJxT5NB2yy236O23386zfObMmWrSpEmxFAUAAAAAOKfIoe3FF1/UO++8o9tvv11jx47V2LFjdfvtt+u9997T+PHji73AP//8Uw8++KCCgoLk6+urxo0ba8uWLeZ6wzA0ZswYhYWFycfHR23atNEvv/ziso309HQNHDhQFStWlJ+fn7p27aoDBw64tElOTlZsbKycTqecTqdiY2N14sQJlzb79u1Tly5d5Ofnp4oVK2rQoEHKyMgo9mMGAAAAgFxFDm2tWrXSunXrFB4erk8++URffvmlatWqpZ9//lmtW7cu1uKSk5PVqlUreXl56euvv9aOHTs0efJkXXPNNWabSZMm6dVXX9X06dO1adMmhYaGqkOHDjp58qTZZvDgwVq4cKEWLFigNWvW6NSpU4qKilJ2drbZJiYmRomJiYqPj1d8fLwSExMVGxtrrs/Ozlbnzp11+vRprVmzRgsWLNBnn32mYcOGFesxAwAAAMD5ijzlvyQ1btxY8+bNK+5a8pg4caLCw8M1e/Zsc1n16tXN+4ZhaOrUqRo1apTuueceSdL777+vkJAQzZ8/X48++qhSUlL07rvv6sMPP1T79u0lSXPnzlV4eLhWrFihyMhI7dy5U/Hx8Vq/fr2aNWsmSZo1a5ZatGihXbt2qU6dOlq2bJl27Nih/fv3KywsTJI0efJk9e7dWy+++CI/dQAAAACgRBS5p02ScnJy9Ntvv2nNmjX67rvvXG7FafHixWratKn+8Y9/KDg4WDfddJNmzZplrt+9e7eSkpLUsWNHc5ndbldERITWrl0rSdqyZYsyMzNd2oSFhal+/fpmm3Xr1snpdJqBTZKaN28up9Pp0qZ+/fpmYJOkyMhIpaenuwzXvFB6erpSU1NdbgAAAABQWEXuaVu/fr1iYmK0d+9eGYbhss5ms7kMOfy7/vjjD7355psaOnSonnnmGW3cuFGDBg2S3W7XQw89pKSkJElSSEiIy/NCQkK0d+9eSVJSUpK8vb0VGBiYp03u85OSkhQcHJxn/8HBwS5tLtxPYGCgvL29zTb5mTBhgsaOHVvEIwcAAACAc4oc2h577DE1bdpUS5cuVaVKlWSz2UqiLknnevSaNm1qTnBy00036ZdfftGbb76phx56yGx3YQ2GYVyyrgvb5Nf+ctpcaOTIkRo6dKj5ODU1VeHh4RetDQAAAAByFTm0/fvf/9ann36qWrVqlUQ9LipVqqR69eq5LKtbt64+++wzSVJoaKikc71glSpVMtscOXLE7BULDQ1VRkaGkpOTXXrbjhw5opYtW5ptDh8+nGf/R48eddnOhT8enpycrMzMzDw9cOez2+2y2+2FPmYAAAAAOF+Rr2lr1qyZ/vOf/5RELXm0atVKu3btcln222+/qVq1apKkGjVqKDQ0VMuXLzfXZ2Rk6NtvvzUDWZMmTeTl5eXS5tChQ9q+fbvZpkWLFkpJSdHGjRvNNhs2bFBKSopLm+3bt+vQoUNmm2XLlslut/P7dAAAAABKTJF72gYOHKhhw4YpKSlJDRo0kJeXl8v6hg0bFltxQ4YMUcuWLTV+/Hj16NFDGzdu1Ntvv23+uLfNZtPgwYM1fvx41a5dW7Vr19b48ePl6+urmJgYSZLT6VTfvn01bNgwBQUFqUKFCho+fLgaNGhgziZZt25dderUSf3799dbb70lSXrkkUcUFRWlOnXqSJI6duyoevXqKTY2Vi+//LKOHz+u4cOHq3///swcCQAAAKDEFDm03XvvvZKkPn36mMtsNpt5bVdxTkRyyy23aOHChRo5cqTGjRunGjVqaOrUqerZs6fZZsSIETp79qzi4uKUnJysZs2aadmyZfL39zfbTJkyRZ6enurRo4fOnj2rdu3aac6cOfLw8DDbzJs3T4MGDTJnmezataumT59urvfw8NDSpUsVFxenVq1aycfHRzExMXrllVeK7XgBAAAA4EJFDm27d+8uiToKFBUVpaioqALX22w2jRkzRmPGjCmwjcPh0LRp0zRt2rQC21SoUEFz5869aC1Vq1bVkiVLLlkzAAAAABSXIoe23OvJAAAAAAAlr9ChbfHixYVq17Vr18suBgAAAADgqtChrVu3bpdsU9zXtAEAAABAWVfo0JaTk1OSdQAAAAAA8lHk32kDAAAAAJQeQhsAAAAAWBihDQAAAAAsjNAGAAAAABZGaAMAAAAACyO0AQAAAICFFWrK/8DAQNlstkJt8Pjx43+rIAAAAADA/xQqtE2dOrWEywAAAAAA5KdQoa1Xr14lXQcAAAAAIB+FCm0FOXv2rDIzM12WBQQE/K2CAAAAAAD/U+SJSE6fPq0nnnhCwcHBKl++vAIDA11uAAAAAIDiU+TQNmLECK1atUozZsyQ3W7XO++8o7FjxyosLEwffPBBSdQIAAAAAGVWkYdHfvnll/rggw/Upk0b9enTR61bt1atWrVUrVo1zZs3Tz179iyJOgEAAACgTCpyT9vx48dVo0YNSeeuX8ud4v+2227Td999V7zVAQAAAEAZV+TQVrNmTe3Zs0eSVK9ePX3yySeSzvXAXXPNNcVZGwAAAACUeUUObQ8//LB++uknSdLIkSPNa9uGDBmiJ598stgLBAAAAICyrMjXtA0ZMsS837ZtW/3666/avHmzrrvuOjVq1KhYiwMAAACAsu5v/U6bJFWtWlVVq1YtjloAWIBhGOb99Gw3FoJScf57fP57DwAArKPIoW3cuHEXXf/8889fdjEA3C89Pd28P+A7fnuxLElPT5evr6+7ywAAABcocmhbuHChy+PMzEzt3r1bnp6euu666whtAAAAAFCMihzatm7dmmdZamqqevfurbvvvrtYigLgPna73bz/xu3Jsnu4sRiUuPTs//Wonv/eAwAA6/jb17RJ536vbdy4cYqKilJsbGxxbBKAm9hsNvO+3UNyENrKjPPfewAAYB1FnvK/ICdOnFBKSkpxbQ4AAAAAoMvoaXv99dddHhuGoUOHDunDDz9Up06diq0wAAAAAMBlhLYpU6a4PC5XrpyuvfZa9erVSyNHjiy2wgAAAAAAlxHadu/eXRJ1AAAAAADyUWzXtAEAAAAAil+Re9pOnz6tl156SStXrtSRI0eUk5Pjsv6PP/4otuIAAAAAoKwrcmjr16+fvv32W8XGxqpSpUpMEQ0AAAAAJajIoe3rr7/W0qVL1apVq5KoBwAAAABwniJf0xYYGKgKFSqURC0AAAAAgAsUObT93//9n55//nmdOXOmJOoBAAAAAJynyMMjJ0+erN9//10hISGqXr26vLy8XNb/+OOPxVYcAAAAAJR1RQ5t3bp1K4EyAAAAAAD5KXJoGz16dEnUAQAAAADIR5FDW66MjIx8f6etatWqf7soAAAAAMA5RQ5tv/32m/r27au1a9e6LDcMQzabTdnZ2cVWHAAAAACUdUUObQ8//LA8PT21ZMkSfly7FBmG8b8H2ZnuKwSl47z32OW9BwAAQJlT5NCWmJioLVu26IYbbiiJelCA9PR0877f1vlurASlLT09Xb6+vu4uAwAAAG5S5N9pq1evnv7666+SqAUAAAAAcIEi97RNnDhRI0aM0Pjx49WgQYM8v9MWEBBQbMXhf+x2u3n/9E0xkofXRVrjipedafaonv/eAwAAoOwpcmhr3769JKldu3Yuy5mIpGS5XDvo4UVoK0O4bhQAAKBsK3JoW716dUnUAQAAAADIR5FDW0RERIHrEhMT/04tAAAAAIALFHkikgulpKRoxowZuvnmm9WkSZPiqAkAAAAA8F+XHdpWrVqlBx98UJUqVdK0adN01113afPmzcVZGwAAAACUeUUaHnngwAHNmTNH7733nk6fPq0ePXooMzNTn332merVq1dSNQIArkIuPxyf5b46UErOe49d3nsAwCUVOrTdddddWrNmjaKiojRt2jR16tRJHh4emjlzZknWBwC4SqWnp5v3Pb70cGMlKG3p6eny9fV1dxkAcMUodGhbtmyZBg0apMcff1y1a9cuyZoAAAAAAP9V6ND2/fff67333lPTpk11ww03KDY2Vvfdd19J1gYAuIqd/8Px2V2yL2M+Y1xRsv7Xo3r+ew8AuLRC/xfZokULtWjRQq+99poWLFig9957T0OHDlVOTo6WL1+u8PBw+fv7l2StAICriMsPx3uK0FaGuLz3AIBLKvLskb6+vurTp4/WrFmjbdu2adiwYXrppZcUHBysrl27lkSNAAAAAFBm/a3faatTp44mTZqkAwcO6KOPPiqumgAAAAAA//W3f1xbkjw8PNStWzctXry4ODYHAAAAAPivYgltAAAAAICSQWgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCPN1dAAAAAHA1MAzDvJ+VnenGSlAazn+Pz3/vSwKhDQAAACgG6enp5v3FP81wYyUobenp6fL19S2x7TM8EgAAAAAsjJ42AAAAoBjY7XbzftdGcfL08HJjNShpWdmZZo/q+e99SSC0AQAAAMXAZrOZ9z09vOTp4e3GalCazn/vSwLDIwEAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhV1RomzBhgmw2mwYPHmwuMwxDY8aMUVhYmHx8fNSmTRv98ssvLs9LT0/XwIEDVbFiRfn5+alr1646cOCAS5vk5GTFxsbK6XTK6XQqNjZWJ06ccGmzb98+denSRX5+fqpYsaIGDRqkjIyMkjpcAAAAALhyQtumTZv09ttvq2HDhi7LJ02apFdffVXTp0/Xpk2bFBoaqg4dOujkyZNmm8GDB2vhwoVasGCB1qxZo1OnTikqKkrZ2dlmm5iYGCUmJio+Pl7x8fFKTExUbGysuT47O1udO3fW6dOntWbNGi1YsECfffaZhg0bVvIHDwAAAKDMuiJC26lTp9SzZ0/NmjVLgYGB5nLDMDR16lSNGjVK99xzj+rXr6/3339fZ86c0fz58yVJKSkpevfddzV58mS1b99eN910k+bOnatt27ZpxYoVkqSdO3cqPj5e77zzjlq0aKEWLVpo1qxZWrJkiXbt2iVJWrZsmXbs2KG5c+fqpptuUvv27TV58mTNmjVLqamppf+iAAAAACgTPN1dQGEMGDBAnTt3Vvv27fXCCy+Yy3fv3q2kpCR17NjRXGa32xUREaG1a9fq0Ucf1ZYtW5SZmenSJiwsTPXr19fatWsVGRmpdevWyel0qlmzZmab5s2by+l0au3atapTp47WrVun+vXrKywszGwTGRmp9PR0bdmyRW3bts239vT0dKWnp5uPCXi4kqRn2yQZ7i6jVBiGlJFz7r53Oclmc289peXcewwAAKzM8qFtwYIF+vHHH7Vp06Y865KSkiRJISEhLstDQkK0d+9es423t7dLD11um9znJyUlKTg4OM/2g4ODXdpcuJ/AwEB5e3ubbfIzYcIEjR079lKHCVjSgO+ucXcJAAAAZZ6lh0fu379f//znPzV37lw5HI4C29ku+ErcMIw8yy50YZv82l9OmwuNHDlSKSkp5m3//v0XrQsAAAAAzmfpnrYtW7boyJEjatKkibksOztb3333naZPn25eb5aUlKRKlSqZbY4cOWL2ioWGhiojI0PJyckuvW1HjhxRy5YtzTaHDx/Os/+jR4+6bGfDhg0u65OTk5WZmZmnB+58drtddru9qIcOuI3D4VBCQoK7yyh1aWlpio6OliR98cUXF/2i6GpVFo8ZAIArgaVDW7t27bRt2zaXZQ8//LBuuOEGPfXUU6pZs6ZCQ0O1fPly3XTTTZKkjIwMffvtt5o4caIkqUmTJvLy8tLy5cvVo0cPSdKhQ4e0fft2TZo0SZLUokULpaSkaOPGjbr11lslSRs2bFBKSooZ7Fq0aKEXX3xRhw4dMgPismXLZLfbXUIlcKWz2Wzy8fFxdxlu5XA4yvxrAAAArMPSoc3f31/169d3Webn56egoCBz+eDBgzV+/HjVrl1btWvX1vjx4+Xr66uYmBhJktPpVN++fTVs2DAFBQWpQoUKGj58uBo0aKD27dtLkurWratOnTqpf//+euuttyRJjzzyiKKiolSnTh1JUseOHVWvXj3Fxsbq5Zdf1vHjxzV8+HD1799fAQEBpfWSAAAAAChjLB3aCmPEiBE6e/as4uLilJycrGbNmmnZsmXy9/c320yZMkWenp7q0aOHzp49q3bt2mnOnDny8PAw28ybN0+DBg0yZ5ns2rWrpk+fbq738PDQ0qVLFRcXp1atWsnHx0cxMTF65ZVXSu9gAQAAAJQ5V1xo++abb1we22w2jRkzRmPGjCnwOQ6HQ9OmTdO0adMKbFOhQgXNnTv3ovuuWrWqlixZUpRyAQAAAOBvsfTskQAAAABQ1hHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhXm6uwAAAJTl7gJKkSEp+7/3PSTZ3FhLaSpL7zEAFDNCGwDA7Ty+9HB3CQAAWBbDIwEAAADAwuhpAwC4hcPhUEJCgrvLKHVpaWmKjo6WJH3xxRdyOBxurqj0lcVjBoC/g9AGAHALm80mHx8fd5fhVg6Ho8y/BgCAS2N4JAAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYmKe7C8BlyMlydwWlxzD+d7zlPCWbzb31lJay9B4DAADgoghtVyC/H+e5uwQAAFAIhmEoLS3NbftOT0+XJNntdtnc9MWnw+Fw276BqwWhDQAAoISkpaUpMjLS3WW4VUJCgnx8fNxdBnBFI7RdIRwOhxISEtxdRqlLS0tTdHS0JOmLL76Qw+Fwc0WlryweMwAAAP6H0HaFsNlsZf5bKofDUeZfAwDAlcWdX7pa5YtPvnwE/j5CGwAAQAmxypeufPEJXNmY8h8AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFiYp7sLAAAAAK42WTmZ7i6h1BiGoeycLEmSRzlP2Ww2N1dUOkrzPSa0AQAAAMVsceIMd5eAqwjDIwEAAADAwuhpAwAAAIqBw+FQQkKCu8sodWlpaYqOjpYkffHFF3I4HG6uqPSV9DET2gAAAIBiYLPZ5OPj4+4y3MrhcJT516AkMDwSAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDB+pw0AAFzVDMNQWlqau8sodecfc1k8funcb4bZbDZ3lwH8bYQ2AABwVUtLS1NkZKS7y3Cr6Ohod5fgFgkJCfzQM64KDI8EAAAAAAujpw0AAJQZT0nydncRpcSQlPnf+16SysogwQxJE91dBFDMCG0AAKDM8JbkXWbii2R3dwFuYbi7AKDYMTwSAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIV5ursAAACAkmQYhnk/49wSd5WCUpBx3v3z33vgSkZoAwAAV7X09HTz/kQ31oHSl56eLl9fX3eXAfxtlh4eOWHCBN1yyy3y9/dXcHCwunXrpl27drm0MQxDY8aMUVhYmHx8fNSmTRv98ssvLm3S09M1cOBAVaxYUX5+furatasOHDjg0iY5OVmxsbFyOp1yOp2KjY3ViRMnXNrs27dPXbp0kZ+fnypWrKhBgwYpIyNDAAAAAFBSLN3T9u2332rAgAG65ZZblJWVpVGjRqljx47asWOH/Pz8JEmTJk3Sq6++qjlz5uj666/XCy+8oA4dOmjXrl3y9/eXJA0ePFhffvmlFixYoKCgIA0bNkxRUVHasmWLPDw8JEkxMTE6cOCA4uPjJUmPPPKIYmNj9eWXX0qSsrOz1blzZ1177bVas2aNjh07pl69eskwDE2bNs0Nrw4AACgMu91u3n9Kkrf7SkEpyND/elTPf++BK5mlQ1tugMo1e/ZsBQcHa8uWLbr99ttlGIamTp2qUaNG6Z577pEkvf/++woJCdH8+fP16KOPKiUlRe+++64+/PBDtW/fXpI0d+5chYeHa8WKFYqMjNTOnTsVHx+v9evXq1mzZpKkWbNmqUWLFtq1a5fq1KmjZcuWaceOHdq/f7/CwsIkSZMnT1bv3r314osvKiAgoBRfGQAAUFg2m8287y3JW7aCG+Mq8L/r2M5/74ErmaWHR14oJSVFklShQgVJ0u7du5WUlKSOHTuabex2uyIiIrR27VpJ0pYtW5SZmenSJiwsTPXr1zfbrFu3Tk6n0wxsktS8eXM5nU6XNvXr1zcDmyRFRkYqPT1dW7ZsKbDm9PR0paamutwAAAAAoLCumNBmGIaGDh2q2267TfXr15ckJSUlSZJCQkJc2oaEhJjrkpKS5O3trcDAwIu2CQ4OzrPP4OBglzYX7icwMFDe3t5mm/xMmDDBvE7O6XQqPDy8KIcNAAAAoIy7YkLbE088oZ9//lkfffRRnnUXdn0bhnHJ7vAL2+TX/nLaXGjkyJFKSUkxb/v3779oXQAAAABwvisitA0cOFCLFy/W6tWrVaVKFXN5aGioJOXp6Tpy5IjZKxYaGqqMjAwlJydftM3hw4fz7Pfo0aMubS7cT3JysjIzM/P0wJ3PbrcrICDA5QYAAAAAhWXp0GYYhp544gl9/vnnWrVqlWrUqOGyvkaNGgoNDdXy5cvNZRkZGfr222/VsmVLSVKTJk3k5eXl0ubQoUPavn272aZFixZKSUnRxo0bzTYbNmxQSkqKS5vt27fr0KFDZptly5bJbrerSZMmxX/wAAAAACCLzx45YMAAzZ8/X1988YX8/f3Nni6n0ykfHx/ZbDYNHjxY48ePV+3atVW7dm2NHz9evr6+iomJMdv27dtXw4YNU1BQkCpUqKDhw4erQYMG5mySdevWVadOndS/f3+99dZbks5N+R8VFaU6depIkjp27Kh69eopNjZWL7/8so4fP67hw4erf//+9J4BAAAAKDGWDm1vvvmmJKlNmzYuy2fPnq3evXtLkkaMGKGzZ88qLi5OycnJatasmZYtW2b+RpskTZkyRZ6enurRo4fOnj2rdu3aac6cOeZvtEnSvHnzNGjQIHOWya5du2r69Onmeg8PDy1dulRxcXFq1aqVfHx8FBMTo1deeaWEjh4AAAAALB7aDMO4ZBubzaYxY8ZozJgxBbZxOByaNm3aRX8Eu0KFCpo7d+5F91W1alUtWbLkkjUBAAAAQHGx9DVtAAAAAFDWEdoAAAAAwMIIbQAAAABgYYQ2AAAAALAwQhsAAAAAWBihDQAAAAAsjNAGAAAAABZGaAMAAAAACyO0AQAAAICFEdoAAAAAwMIIbQAAAABgYYQ2AAAAALAwQhsAAAAAWBihDQAAAAAsjNAGAAAAABZGaAMAAAAACyO0AQAAAICFEdoAAAAAwMIIbQAAAABgYZ7uLgAAAKC0ZEiSDDdXUToMSZn/ve8lyebGWkpThrsLAEoAoQ0AAJQZE91dAABcBoZHAgAAAICF0dMGAACuag6HQwkJCe4uo9SlpaUpOjpakvTFF1/I4XC4uaLSVxaPGVcnQhsAALiq2Ww2+fj4uLsMt3I4HGX+NQCuZAyPBAAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIV5ursAAACAq5VhGEpLS3PLvs/fr7tqkCSHwyGbzea2/ZcVnGtX97lGaAMAACghaWlpioyMdHcZio6Odtu+ExIS5OPj47b9lxWca1f3ucbwSAAAAACwMHraAAAASojD4VBCQoJb9m0YhtLT0yVJdrvdbcPGHA6HW/Zb1nCuXd3nGqENAACghNhsNrcO1/L19XXbvlG6ONeubgyPBAAAAAALo6cNAFDmMMva1T3LGgBcbQhtAIAyh1nWru5Z1gDgasPwSAAAAACwMHraAABlDrOsXd2zrAHA1YbQBgAoc5hlDQBwJWF4JAAAAABYGKENAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACzM090FAEAuwzCUlpbmln2fv1931SBJDodDNpvNbfsHAADWQ2gDYBlpaWmKjIx0dxmKjo52274TEhLk4+Pjtv0DAADrYXgkAAAAAFgYPW0ALMPhcCghIcEt+zYMQ+np6ZIku93utiGKDofDLfsFAADWRWgDYBk2m82tQwN9fX3dtm8AAICCMDwSAAAAACyM0AYAAAAAFkZoAwAAAAALI7QBAAAAgIUR2gAAAADAwghtAAAAAGBhhDYAAAAAsDBCGwAAAABYGKENAAAAACzM090FwPoMw1BaWppb9n3+ft1VgyQ5HA7ZbDa37R8AAABlF6ENl5SWlqbIyEh3l6Ho6Gi37TshIUE+Pj5u2z8AAADKLoZHAgAAAICF0dOGS3I4HEpISHDLvg3DUHp6uiTJbre7bYiiw+Fwy34BAAAAQhsuyWazuXVooK+vr9v2DQAAALgbwyMBAAAAwMIIbQAAAABgYYQ2AAAAALAwQttlmDFjhmrUqCGHw6EmTZro+++/d3dJAAAAAK5ShLYi+vjjjzV48GCNGjVKW7duVevWrXXnnXdq37597i4NAAAAwFXIZhiG4e4iriTNmjXTzTffrDfffNNcVrduXXXr1k0TJky45PNTU1PldDqVkpKigICAkiwVAAAAgIUVNhvQ01YEGRkZ2rJlizp27OiyvGPHjlq7dm2+z0lPT1dqaqrLDQAAAAAKi9BWBH/99Zeys7MVEhLisjwkJERJSUn5PmfChAlyOp3mLTw8vDRKBQAAAHCVILRdBpvN5vLYMIw8y3KNHDlSKSkp5m3//v2lUSIAAACAq4Snuwu4klSsWFEeHh55etWOHDmSp/ctl91ul91uL43yAAAAAFyF6GkrAm9vbzVp0kTLly93Wb58+XK1bNnSTVUBAAAAuJrR01ZEQ4cOVWxsrJo2baoWLVro7bff1r59+/TYY4+5uzQAAAAAVyFCWxHdd999OnbsmMaNG6dDhw6pfv36+uqrr1StWjV3lwYAAADgKsTvtJUyfqcNAAAAgMTvtAEAAADAVYHQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALIzQBgAAAAAWRmgDAAAAAAsjtAEAAACAhRHaAAAAAMDCCG0AAAAAYGGENgAAAACwMEIbAAAAAFgYoQ0AAAAALMzT3QWUNYZhSJJSU1PdXAkAAAAAd8rNBLkZoSCEtlJ28uRJSVJ4eLibKwEAAABgBSdPnpTT6Sxwvc24VKxDscrJydHBgwfl7+8vm83m7nKuCKmpqQoPD9f+/fsVEBDg7nJwFeNcQ2nhXENp4VxDaeFcuzyGYejkyZMKCwtTuXIFX7lGT1spK1eunKpUqeLuMq5IAQEBfAigVHCuobRwrqG0cK6htHCuFd3FethyMREJAAAAAFgYoQ0AAAAALIzQBsuz2+0aPXq07Ha7u0vBVY5zDaWFcw2lhXMNpYVzrWQxEQkAAAAAWBg9bQAAAABgYYQ2AAAAALAwQhsAAAAAWBihDZbQu3dvdevWrVT2Vb16dU2dOrVU9gXr+uabb2Sz2XTixAl3lwIAbjNnzhxdc8017i4DcLFnzx7ZbDYlJia6uxTLILQhX0lJSfrnP/+pWrVqyeFwKCQkRLfddptmzpypM2fOuLu8QinoP6JNmzbpkUceKf2CUOp69+4tm80mm80mLy8v1axZU8OHD9fp06cL9fw5c+aYz/fw8FBgYKCaNWumcePGKSUlpYSrh1XknkePPfZYnnVxcXGy2Wzq3bt3sezLZrNp0aJFxbItXB3O/xyz2WwKCgpSp06d9PPPPxfL9u+77z799ttvxbItWMuECRN0yy23yN/fX8HBwerWrZt27dpVLNtOSkrSwIEDVbNmTdntdoWHh6tLly5auXJlsWwfeRHakMcff/yhm266ScuWLdP48eO1detWrVixQkOGDNGXX36pFStW5Pu8zMzMUq708lx77bXy9fV1dxkoJZ06ddKhQ4f0xx9/6IUXXtCMGTM0fPjwQj8/ICBAhw4d0oEDB7R27Vo98sgj+uCDD9S4cWMdPHiwBCuHlYSHh2vBggU6e/asuSwtLU0fffSRqlat6sbK8nelfB6jcHI/xw4dOqSVK1fK09NTUVFRxbJtHx8fBQcHF8u2YC3ffvutBgwYoPXr12v58uXKyspSx44dC/3FZUH27NmjJk2aaNWqVZo0aZK2bdum+Ph4tW3bVgMGDCim6nEhQhvyiIuLk6enpzZv3qwePXqobt26atCgge69914tXbpUXbp0kXTuG+GZM2cqOjpafn5+euGFF5Sdna2+ffuqRo0a8vHxUZ06dfTaa6+5bD87O1tDhw7VNddco6CgII0YMUIX/vJEfkMYGzdurDFjxpiPX331VTVo0EB+fn4KDw9XXFycTp06Jenc0LeHH35YKSkp5reTuc+9cNv79u1TdHS0ypcvr4CAAPXo0UOHDx82148ZM0aNGzfWhx9+qOrVq8vpdOr+++/XyZMn/+YrjdJgt9sVGhqq8PBwxcTEqGfPni49GVu2bFHTpk3l6+urli1b5vkW0mazKTQ0VJUqVVLdunXVt29frV27VqdOndKIESNK+WjgLjfffLOqVq2qzz//3Fz2+eefKzw8XDfddJO5LD4+Xrfddpv5+RYVFaXff//dXJ+RkaEnnnhClSpVksPhUPXq1TVhwgRJ5z6bJOnuu++WzWYzH0vSl19+qSZNmsjhcKhmzZoaO3assrKyzPX5fR7j6pH7ORYaGqrGjRvrqaee0v79+3X06FFJ0lNPPaXrr79evr6+qlmzpp577jmX4P7TTz+pbdu28vf3V0BAgJo0aaLNmzdLyn9UyuLFi9W0aVM5HA5VrFhR99xzT6kdK4pPfHy8evfurRtvvFGNGjXS7NmztW/fPm3ZssVsU716dY0fP159+vSRv7+/qlatqrfffvui280dYbBx40Z1795d119/vW688UYNHTpU69evlyT16dMnzxcLWVlZCg0N1XvvvSdJysnJ0cSJE1WrVi3Z7XZVrVpVL774YoH73bFjh+666y6VL19eISEhio2N1V9//XW5L88Vh9AGF8eOHdOyZcs0YMAA+fn55dvGZrOZ90ePHq3o6Ght27ZNffr0UU5OjqpUqaJPPvlEO3bs0PPPP69nnnlGn3zyifmcyZMn67333tO7776rNWvW6Pjx41q4cGGRay1Xrpxef/11bd++Xe+//75WrVpl/hHdsmVLTZ061ewlOXToUL69K4ZhqFu3bjp+/Li+/fZbLV++XL///rvuu+8+l3a///67Fi1apCVLlmjJkiX69ttv9dJLLxW5Zrifj4+Pyx8zo0aN0uTJk7V582Z5enqqT58+l9xGcHCwevbsqcWLFys7O7sky4WFPPzww5o9e7b5+L333stzvpw+fVpDhw7Vpk2btHLlSpUrV0533323cnJyJEmvv/66Fi9erE8++US7du3S3LlzzXC2adMmSdLs2bN16NAh83FCQoIefPBBDRo0SDt27NBbb72lOXPm5Pnj5sLPY1ydTp06pXnz5qlWrVoKCgqSJPn7+2vOnDnasWOHXnvtNc2aNUtTpkwxn9OzZ09VqVJFmzZt0pYtW/T000/Ly8sr3+0vXbpU99xzjzp37qytW7dq5cqVatq0aakcG0pW7rD+ChUquCyfPHmymjZtqq1btyouLk6PP/64fv3113y3cfz4ccXHxxf4d2LuFwD9+vVTfHy8Dh06ZK776quvdOrUKfXo0UOSNHLkSE2cOFHPPfecduzYofnz5yskJCTf/R46dEgRERFq3LixNm/erPj4eB0+fNjcVplgAOdZv369Icn4/PPPXZYHBQUZfn5+hp+fnzFixAjDMAxDkjF48OBLbjMuLs649957zceVKlUyXnrpJfNxZmamUaVKFSM6OtpcVq1aNWPKlCku22nUqJExevToAvfzySefGEFBQebj2bNnG06nM0+787e9bNkyw8PDw9i3b5+5/pdffjEkGRs3bjQMwzBGjx5t+Pr6GqmpqWabJ5980mjWrNnFDhsW0KtXL5fzasOGDUZQUJDRo0cPY/Xq1YYkY8WKFeb6pUuXGpKMs2fPGoZR8DlkGIbx5ptvGpKMw4cPl+QhwAJyz6OjR48adrvd2L17t7Fnzx7D4XAYR48eNaKjo41evXrl+9wjR44Ykoxt27YZhmEYAwcONO644w4jJycn3/aSjIULF7osa926tTF+/HiXZR9++KFRqVIll+cV5vMYV55evXoZHh4e5v/BkoxKlSoZW7ZsKfA5kyZNMpo0aWI+9vf3N+bMmZNv2ws/51q0aGH07Nmz2OqHNeTk5BhdunQxbrvtNpfl1apVMx588EGXdsHBwcabb76Z73Y2bNiQ79+J+alXr54xceJE83G3bt2M3r17G4ZhGKmpqYbdbjdmzZqV73N3795tSDK2bt1qGIZhPPfcc0bHjh1d2uzfv9+QZOzateuStVwN6GlDvs7vTZOkjRs3KjExUTfeeKPS09PN5fl9+zZz5kw1bdpU1157rcqXL69Zs2Zp3759ks59y3Po0CG1aNHCbO/p6XlZ3+KtXr1aHTp0UOXKleXv76+HHnpIx44dK9JY7Z07dyo8PFzh4eHmsnr16umaa67Rzp07zWXVq1eXv7+/+bhSpUo6cuRIkWtG6VuyZInKly8vh8OhFi1a6Pbbb9e0adPM9Q0bNjTvV6pUSZIK9d4a/x3Se+G/FVy9KlasqM6dO+v999/X7Nmz1blzZ1WsWNGlze+//66YmBjVrFlTAQEBqlGjhiSZn4G9e/dWYmKi6tSpo0GDBmnZsmWX3O+WLVs0btw4lS9f3rz1799fhw4dcpkYit6Qq1fbtm2VmJioxMREbdiwQR07dtSdd96pvXv3SpI+/fRT3XbbbQoNDVX58uX13HPPmeecJA0dOlT9+vVT+/bt9dJLL7kM2b1QYmKi2rVrV+LHhNL1xBNP6Oeff9ZHH32UZ935/w/mXhJQ0P+DRfm/r1+/fubohCNHjmjp0qXmKICdO3cqPT290Ofali1btHr1apfPwRtuuEGSLno+X00IbXBRq1Yt2Wy2PN3iNWvWVK1ateTj4+Oy/MKu8U8++URDhgxRnz59tGzZMiUmJurhhx9WRkZGkeooV65cnuvczh/StnfvXt11112qX7++PvvsM23ZskVvvPFGnnaXYhhGvh88Fy6/cBiJzWYzhzvB2nL/2Nm1a5fS0tL0+eefu1x0f/57m/ueF+a93blzpwICAszhSSgb+vTpozlz5uj999/Pdwhily5ddOzYMc2aNUsbNmzQhg0bJMn8DLz55pu1e/du/d///Z/Onj2rHj16qHv37hfdZ05OjsaOHWv+0Z6YmKht27bp3//+txwOh9muoCHtuPL5+fmpVq1aqlWrlm699Va9++67On36tGbNmqX169fr/vvv15133qklS5Zo69atGjVqlMv/u2PGjNEvv/yizp07a9WqVapXr16BlyVc+P88rnwDBw7U4sWLtXr1alWpUiXP+qL8jVO7dm3ZbDaXL7YL8tBDD+mPP/7QunXrzKHgrVu3llT08ywnJ0ddunRx+RxMTEzUv//9b91+++1F2taVitAGF0FBQerQoYOmT59+WbMLff/992rZsqXi4uJ00003qVatWi7fgDidTlWqVMm8UFU6d2Hq+RfFSudmeDx/HHRqaqp2795tPt68ebOysrI0efJkNW/eXNdff32emfy8vb0veb1RvXr1tG/fPu3fv99ctmPHDqWkpKhu3bpFO3hYUu4fO9WqVSvwGo6iOnLkiObPn69u3bqpXDk+RsuSTp06KSMjQxkZGYqMjHRZd+zYMe3cuVPPPvus2rVrp7p16yo5OTnPNgICAnTfffdp1qxZ+vjjj/XZZ5/p+PHjks798XTh59bNN9+sXbt2mX+0n3/j/CubbDabypUrp7Nnz+qHH35QtWrVNGrUKDVt2lS1a9c2e+DOd/3112vIkCFatmyZ7rnnHpfrM8/XsGFDpm2/ShiGoSeeeEKff/65Vq1aZfb8/x0VKlRQZGSk3njjjXz/Tjz/t0+DgoLUrVs3zZ49W7Nnz9bDDz9srqtdu7Z8fHwKfa7dfPPN+uWXX1S9evU8n4Nl5QsrT3cXAOuZMWOGWrVqpaZNm2rMmDFq2LChypUrp02bNunXX39VkyZNCnxurVq19MEHHyghIUE1atTQhx9+qE2bNrl8UPzzn//USy+9pNq1a6tu3bp69dVX8/zA8R133KE5c+aoS5cuCgwM1HPPPScPDw9z/XXXXaesrCxNmzZNXbp00Q8//KCZM2e6bKN69eo6deqUVq5cqUaNGsnX1zfPVP/t27dXw4YN1bNnT02dOlVZWVmKi4tTREQEQ40g6dx/eklJSTIMQydOnNC6des0fvx4OZ1OJqMpgzw8PMxvmM//TJKkwMBABQUF6e2331alSpW0b98+Pf300y5tpkyZokqVKqlx48YqV66c/vWvfyk0NNS8eL969epauXKlWrVqJbvdrsDAQD3//POKiopSeHi4/vGPf6hcuXL6+eeftW3bNmaJLCPS09OVlJQkSUpOTtb06dN16tQpdenSRSkpKdq3b58WLFigW265RUuXLnXpRTt79qyefPJJde/eXTVq1NCBAwe0adMm3Xvvvfnua/To0WrXrp2uu+463X///crKytLXX3/NbLlXoAEDBmj+/Pn64osv5O/vb55DTqfzb/WozpgxQy1bttStt96qcePGqWHDhsrKytLy5cv15ptvuvTC9evXT1FRUcrOzlavXr3M5Q6HQ0899ZRG/H979x8TZR3HAfx9dlzdPO5ooAYGh8lEmeKJxESngjiugaKdJSA/Mm0qA8W5GbbF2NI1rYS2/kkdcHOCmbHZWcxyTFqGxQSOHOppCOIWpE6ipPzFffrD+czHA/wRyuner+3Zbs/3+/0836+7PbsPz/P9+O670Ol0mDVrFi5duoSWlhasXLmy37Xs2rUL6enp2LhxIwICAvDbb7/hiy++wK5duzzux8+k4dtOR97s999/l7y8PBk3bpz4+PiIwWCQmJgY+fjjj6W3t1dE+t8wf+3aNVm+fLmYTCbx8/OTnJwc2bRpk0ydOlXpc/PmTcnPzxej0Sh+fn6yYcMGyc7OVhWM6OnpkaVLl4rRaJTg4GCx2+0ehUiKi4slMDBQ9Hq9WK1W2b17twCQ7u5upc+aNWvE399fAChj7y1ycv78eUlJSZGRI0eKr6+vvPnmm9LV1aW0FxUVqeYvIlJSUiJms/kR/mXpSbq3EMnd7hQiufv70tTUJACkra1NRG5v0AcgAESj0YjJZJKYmBj54IMPpKen5/EvgLzCYN8jEVEVIjl8+LBMmjRJnn/+eYmMjJTa2lrVvXLnzp1isVhk5MiRYjQaJSEhQRobG5VYDodDwsLCRKvVqu4xhw4dkpkzZ4perxej0SgxMTGyc+dOpb2/+zE9G9566y3lPgRAfH195dVXX5WvvvpK6bNx40bx9/cXg8EgqampUlJSohQXuX79uqSlpUlwcLDodDoJCgqSvLy8QQsuVVVVicViEZ1OJwEBAWKz2Z7UcmkI3f29ufsoLy9X+jxK4TeR278Tc3NzxWw2i06nk7Fjx0pKSoocOXJE1c/tdovZbJakpCSPGH19fbJlyxYxm83i4+MjISEhStGlewuRiIicOXNGXn/9dfHz8xO9Xi8TJ06U9evXD1jY6VmjEbln4xAREREREdH/9M8//yAoKAhlZWX8//7+J74eSUREREREQ8btdqOrqwvbt2+HyWRCSkrKcE/pqcekjYiIiIiIhkxHRwfGjRuHl19+GXa7HVotU47/i69HEhEREREReTHWCiYiIiIiIvJiTNqIiIiIiIi8GJM2IiIiIiIiL8akjYiIiIiIyIsxaSMiIiIiIvJiTNqIiIgGUFtbC41Ggz///POxXsdut8PPz++xXuNxi4uLw/r164d7GkREzyQmbURE9NSoq6vDc889h9dee224pzKkUlNTcebMmUce/ywkfURENDAmbURE9NQoKyvD2rVrcfToUXR0dAz3dIaMXq/H6NGjh3saRETkpZi0ERHRU6G3txdffvklcnJysGDBAtjtdo8+DocD0dHReOGFFxAQEACbzaa07dmzB9HR0fD19cVLL72EZcuW4eLFi6rx1dXVmDBhAvR6PeLj49He3u5xjbq6OsyZMwd6vR7BwcFYt24dent7lfbQ0FBs2bIF2dnZMBgMMJvN+Prrr3Hp0iUsWrQIBoMBU6ZMwfHjx5Ux/T0pG2wtD6unpwerVq3C6NGjYTQaMW/ePDQ3NwMAXC4XNBoNTp8+rRpTXFyM0NBQiAgA4OTJk0hKSoLBYMCYMWOQlZWFy5cvP/KciIjowTFpIyKip8K+ffsQHh6O8PBwZGZmory8XEkoAODbb7+FzWZDcnIympqaUFNTg+joaKX9xo0b2Lx5M5qbm3HgwAG0tbVh+fLlSvuFCxdgs9mQlJQEp9OJd955B5s2bVLN4cSJE7BarbDZbPj111+xb98+HD16FHl5eap+JSUlmDVrFpqampCcnIysrCxkZ2cjMzMTjY2NCAsLQ3Z2tmr+d7vfWh6GiCA5ORldXV2orq5GQ0MDoqKikJCQgCtXriA8PBzTp09HRUWFalxlZSWWLVsGjUaDzs5OzJ07FxaLBcePH8ehQ4fwxx9/YOnSpY80JyIiekhCRET0FJg5c6Z8+umnIiJy8+ZNCQgIkMOHDyvtsbGxkpGR8cDx6uvrBYD8/fffIiLy3nvvyaRJk8Ttdit9CgoKBIB0d3eLiEhWVpasWrVKFefHH3+UESNGyL///isiImazWTIzM5X2zs5OASCFhYXKuWPHjgkA6ezsFBGR8vJyMZlMj7yWe8ffraamRoxGo1y7dk11fvz48bJjxw4RESkuLpZXXnlFaXO5XAJAWlpaRESksLBQEhMTVeMvXLggAMTlcomIyNy5cyU/P/+B50xERA+OT9qIiMjruVwu1NfXIy0tDQCg1WqRmpqKsrIypY/T6URCQsKAMZqamrBo0SKYzWb4+voiLi4OAJS9cadOncKMGTOg0WiUMbGxsaoYDQ0NsNvtMBgMymG1WuF2u9HW1qb0i4yMVD6PGTMGADBlyhSPc/e+nvmga3kYDQ0NuHr1Kvz9/VXzbmtrQ2trKwAgLS0N58+fx88//wwAqKiogMViQUREhBLjyJEjqvETJ04EACUGERE9PtrhngAREdH9lJaW4tatWxg7dqxyTkTg4+OD7u5uvPjii9Dr9QOO7+3tRWJiIhITE7Fnzx6MGjUKHR0dsFqtuHHjhhLvftxuN1avXo1169Z5tIWEhCiffXx8lM93ksD+zrnd7n6vM9haHpbb7UZgYCBqa2s92u7sowsMDER8fDwqKysxY8YM7N27F6tXr1bFWLhwIbZt2+YRIzAwcMjmSkRE/WPSRkREXu3WrVvYvXs3tm/fjsTERFXbkiVLUFFRgby8PERGRqKmpgZvv/22R4zTp0/j8uXL2Lp1K4KDgwFAVQgEACIiInDgwAHVuTtPnu6IiopCS0sLwsLChmBlAxtsLQ8rKioKXV1d0Gq1CA0NHbBfRkYGCgoKkJ6ejtbWVuWp5p0YVVVVCA0NhVbLnw5ERE8aX48kIiKv9s0336C7uxsrV67E5MmTVccbb7yB0tJSAEBRURH27t2LoqIinDp1CidOnMBHH30E4PZTMJ1Oh88++wznzp2Dw+HA5s2bVddZs2YNWltbsWHDBrhcLlRWVnpUqCwoKMCxY8eQm5sLp9OJs2fPwuFwYO3atUO65sHWMpC+vj44nU7VcfLkScyfPx+xsbFYvHgxvvvuO7S3t6Ourg7vv/++KnG12Wz466+/kJOTg/j4eNVTzdzcXFy5cgXp6emor6/HuXPn8P3332PFihXo6+sb0rUTEZEnJm1EROTVSktLMX/+fJhMJo+2JUuWwOl0orGxEXFxcdi/fz8cDgcsFgvmzZuHX375BQAwatQo2O127N+/HxEREdi6dSs++eQTVayQkBBUVVXh4MGDmDp1Kj7//HN8+OGHqj6RkZH44YcfcPbsWcyePRvTpk1DYWHhkL8iONhaBnL16lVMmzZNdSQlJUGj0aC6uhpz5szBihUrMGHCBKSlpaG9vV3ZWwcARqMRCxcuRHNzMzIyMlSxg4KC8NNPP6Gvrw9WqxWTJ09Gfn4+TCYTRozgTwkiosdNIw/yEj8RERERERENC/55jIiIiIiIyIsxaSMiIiIiIvJiTNqIiIiIiIi8GJM2IiIiIiIiL8akjYiIiIiIyIsxaSMiIiIiIvJiTNqIiIiIiIi8GJM2IiIiIiIiL8akjYiIiIiIyIsxaSMiIiIiIvJiTNqIiIiIiIi82H9ZuIknS16AdQAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -2060,7 +2361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 166,
    "metadata": {},
    "outputs": [
     {
@@ -2072,7 +2373,7 @@
       "\n",
       "Performing the Mann-Whitney U Test to check the hypothesis...\n",
       "Statistic: 97874.5\n",
-      "p-value: 0.026259430805670697\n",
+      "p-value: 0.026259416449905735\n",
       "Significance: 0.05\n",
       "\n",
       "Null hypothesis is rejected. There is a significant difference in average AnnualIncome between PHD and Master degree owners.\n"