diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index 5d9968e84..85dbf53bc 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 1,
    "id": "4a3485d6-ba58-4660-a983-5680821c5719",
    "metadata": {},
    "outputs": [],
@@ -50,10 +50,128 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "a431d282-f9ca-4d5d-8912-71ffc9d8ea19",
    "metadata": {},
-   "outputs": [],
+   "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>mpg</th>\n",
+       "      <th>cylinders</th>\n",
+       "      <th>displacement</th>\n",
+       "      <th>horsepower</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>acceleration</th>\n",
+       "      <th>model_year</th>\n",
+       "      <th>origin</th>\n",
+       "      <th>name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>18.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>307.0</td>\n",
+       "      <td>130.0</td>\n",
+       "      <td>3504</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>70</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>chevrolet chevelle malibu</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>15.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>350.0</td>\n",
+       "      <td>165.0</td>\n",
+       "      <td>3693</td>\n",
+       "      <td>11.5</td>\n",
+       "      <td>70</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>buick skylark 320</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>18.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>318.0</td>\n",
+       "      <td>150.0</td>\n",
+       "      <td>3436</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>70</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>plymouth satellite</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>16.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>304.0</td>\n",
+       "      <td>150.0</td>\n",
+       "      <td>3433</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>70</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>amc rebel sst</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>302.0</td>\n",
+       "      <td>140.0</td>\n",
+       "      <td>3449</td>\n",
+       "      <td>10.5</td>\n",
+       "      <td>70</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>ford torino</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
+       "0  18.0          8         307.0       130.0    3504          12.0   \n",
+       "1  15.0          8         350.0       165.0    3693          11.5   \n",
+       "2  18.0          8         318.0       150.0    3436          11.0   \n",
+       "3  16.0          8         304.0       150.0    3433          12.0   \n",
+       "4  17.0          8         302.0       140.0    3449          10.5   \n",
+       "\n",
+       "   model_year origin                       name  \n",
+       "0          70    usa  chevrolet chevelle malibu  \n",
+       "1          70    usa          buick skylark 320  \n",
+       "2          70    usa         plymouth satellite  \n",
+       "3          70    usa              amc rebel sst  \n",
+       "4          70    usa                ford torino  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import seaborn as sns\n",
     "\n",
@@ -82,12 +200,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "5d79f1cf",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(392, 9)"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your answer here..."
+    "# answer \n",
+    "mpg_data.shape\n"
    ]
   },
   {
@@ -105,7 +235,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your answer here..."
+    "# 'mpg' is a float type, which makes it a continuous numerical variable. It represents how many miles a car can travel per gallon of fuel."
    ]
   },
   {
@@ -126,12 +256,131 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "9f034a5d",
    "metadata": {},
-   "outputs": [],
+   "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>mpg</th>\n",
+       "      <th>cylinders</th>\n",
+       "      <th>displacement</th>\n",
+       "      <th>horsepower</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>acceleration</th>\n",
+       "      <th>model_year</th>\n",
+       "      <th>origin</th>\n",
+       "      <th>name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>16.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>400.0</td>\n",
+       "      <td>230.0</td>\n",
+       "      <td>4278</td>\n",
+       "      <td>9.5</td>\n",
+       "      <td>73</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>pontiac grand prix</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>12.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>455.0</td>\n",
+       "      <td>225.0</td>\n",
+       "      <td>4951</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>73</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>buick electra 225 custom</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>14.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>455.0</td>\n",
+       "      <td>225.0</td>\n",
+       "      <td>3086</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>70</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>buick estate wagon (sw)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>14.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>455.0</td>\n",
+       "      <td>225.0</td>\n",
+       "      <td>4425</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>70</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>pontiac catalina</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>14.0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>454.0</td>\n",
+       "      <td>220.0</td>\n",
+       "      <td>4354</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>70</td>\n",
+       "      <td>usa</td>\n",
+       "      <td>chevrolet impala</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
+       "116  16.0          8         400.0       230.0    4278           9.5   \n",
+       "95   12.0          8         455.0       225.0    4951          11.0   \n",
+       "13   14.0          8         455.0       225.0    3086          10.0   \n",
+       "8    14.0          8         455.0       225.0    4425          10.0   \n",
+       "6    14.0          8         454.0       220.0    4354           9.0   \n",
+       "\n",
+       "     model_year origin                      name  \n",
+       "116          73    usa        pontiac grand prix  \n",
+       "95           73    usa  buick electra 225 custom  \n",
+       "13           70    usa   buick estate wagon (sw)  \n",
+       "8            70    usa          pontiac catalina  \n",
+       "6            70    usa          chevrolet impala  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your answer here... "
+    "# answer\n",
+    "mpg_data.sort_values('horsepower', ascending=False).head(5)\n"
    ]
   },
   {
@@ -144,12 +393,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "1b91233e",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your answer here..."
+    "# answer\n",
+    "len(mpg_data.columns) - 1  # Subtract 1 for the target variable 'mpg'\n"
    ]
   },
   {
@@ -173,10 +434,71 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "732784d8",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Exclude the 'mpg' (target variable) and non-numeric columns from the feature names\n",
     "feature_names = mpg_data.select_dtypes(include=[float, int]).columns.difference(['mpg'])\n",
@@ -225,7 +547,7 @@
    "id": "f67e57ab",
    "metadata": {},
    "source": [
-    "> Your answer here..."
+    "# Some features like horsepower, displacement, and weight show a negative association with MPG — as these increase, MPG decreases. Others like acceleration and model year show a positive association. The strength of association varies by feature."
    ]
   },
   {
@@ -241,7 +563,7 @@
    "id": "843f9eef",
    "metadata": {},
    "source": [
-    "> Your answer here..."
+    "# The line is defined by the concept of least squares regression, which minimizes the sum of squared residuals — the vertical distances between the observed values and the predicted values on the line."
    ]
   },
   {
@@ -257,7 +579,7 @@
    "id": "2ea782fc",
    "metadata": {},
    "source": [
-    "> Your answer here..."
+    "# No, the points don’t fall perfectly on the line. The deviations indicate that the relationship is not perfectly linear, and that other variables may also influence MPG that are not captured by a single predictor."
    ]
   },
   {
@@ -274,12 +596,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "399225f4",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your answer here..."
+    "# Select all numeric predictor variables and define the response variable\n",
+    "X = mpg_data.drop('mpg', axis=1).select_dtypes(include=[float, int])\n",
+    "y = mpg_data['mpg']\n",
+    "\n",
+    "# Split the dataset into training and testing sets using 75-25 split\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)\n"
    ]
   },
   {
@@ -292,21 +619,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "ac1e1117",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "      predictor     slope  intercept\n",
+      "0     cylinders -0.160143 -15.047371\n",
+      "1  displacement  0.000373 -15.047371\n",
+      "2    horsepower -0.001899 -15.047371\n",
+      "3        weight -0.006457 -15.047371\n",
+      "4  acceleration  0.057588 -15.047371\n",
+      "5    model_year  0.762270 -15.047371\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here ...\n",
-    "\n",
-    "numeric_predictors = 🤷‍♂️\n",
+    "# Fit the linear regression model on training data\n",
+    "lm = LinearRegression()\n",
+    "lm.fit(X_train, y_train)\n",
     "\n",
+    "# Use the training predictors for variable names\n",
+    "numeric_predictors = X_train\n",
     "\n",
     "# Create a DataFrame containing the slope (coefficients) and intercept\n",
     "coefficients_df = pd.DataFrame({\n",
     "    \"predictor\": numeric_predictors.columns,\n",
-    "    \"slope\": lm.coef_,\n",
-    "    \"intercept\": [lm.intercept_] * len(lm.coef_)\n",
+    "    \"slope\": lm.coef_,  # how mpg changes per unit change in each predictor\n",
+    "    \"intercept\": [lm.intercept_] * len(lm.coef_)  # same intercept value repeated\n",
     "})\n",
     "\n",
     "# Display the coefficients DataFrame\n",
@@ -330,12 +673,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "ffefa9f2",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "RMSPE: 3.185\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here ..."
+    "# Q4: Predict on test set\n",
+    "y_pred = lm.predict(X_test)\n",
+    "\n",
+    "# Calculate RMSPE (Root Mean Squared Prediction Error)\n",
+    "rmspe = np.sqrt(mean_squared_error(y_test, y_pred))\n",
+    "print(f'RMSPE: {rmspe:.3f}')\n",
+    "\n",
+    "# The model was evaluated using RMSPE, which measures how far off our predictions are from actual mpg values on unseen data.\n",
+    "# RMSPE gives the average prediction error in the same units as mpg.\n",
+    "# A lower RMSPE means the model generalizes better.\n",
+    "# Based on our predictors, the RMSPE shows how well linear regression can predict mpg using features like weight, horsepower, and model year.\n"
    ]
   },
   {
@@ -386,7 +747,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "dsi_participant",
    "language": "python",
    "name": "python3"
   },
@@ -400,12 +761,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "497a84dc8fec8cf8d24e7e87b6d954c9a18a327edc66feb9b9ea7e9e72cc5c7e"
-   }
+   "version": "3.9.15"
   }
  },
  "nbformat": 4,
diff --git a/04_this_cohort/live_code/live_code_05_29_2025.ipynb b/04_this_cohort/live_code/live_code_05_29_2025.ipynb
deleted file mode 100644
index ff88497ff..000000000
--- a/04_this_cohort/live_code/live_code_05_29_2025.ipynb
+++ /dev/null
@@ -1,837 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#import libraries\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import statsmodels.api as sm\n",
-    "import statsmodels.formula.api as smf\n",
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#H0 : no significant linear relationship between house size and house price (B1 = 0)\n",
-    "#H1: there is a significant linear relationship between house size and house price (B1 Not = 0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "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>street</th>\n",
-       "      <th>city</th>\n",
-       "      <th>zip</th>\n",
-       "      <th>state</th>\n",
-       "      <th>beds</th>\n",
-       "      <th>baths</th>\n",
-       "      <th>sq__ft</th>\n",
-       "      <th>type</th>\n",
-       "      <th>sale_date</th>\n",
-       "      <th>price</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1005 MORENO WAY</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95838</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1410</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>180000</td>\n",
-       "      <td>38.646206</td>\n",
-       "      <td>-121.442767</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>10105 MONTE VALLO CT</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95827</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1578</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>190000</td>\n",
-       "      <td>38.573917</td>\n",
-       "      <td>-121.316916</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>10133 NEBBIOLO CT</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95624</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2096</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>289000</td>\n",
-       "      <td>38.391085</td>\n",
-       "      <td>-121.347231</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>10165 LOFTON WAY</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95757</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1540</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>266510</td>\n",
-       "      <td>38.387708</td>\n",
-       "      <td>-121.436522</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>10254 JULIANA WAY</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95827</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2484</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>331200</td>\n",
-       "      <td>38.568030</td>\n",
-       "      <td>-121.309966</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>808</th>\n",
-       "      <td>9507 SEA CLIFF WAY</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95758</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2056</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>285000</td>\n",
-       "      <td>38.410992</td>\n",
-       "      <td>-121.479043</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>809</th>\n",
-       "      <td>9570 HARVEST ROSE WAY</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95827</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2367</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>315537</td>\n",
-       "      <td>38.555993</td>\n",
-       "      <td>-121.340352</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>810</th>\n",
-       "      <td>9723 TERRAPIN CT</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95757</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2354</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>335750</td>\n",
-       "      <td>38.403492</td>\n",
-       "      <td>-121.430224</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>811</th>\n",
-       "      <td>9837 CORTE DORADO CT</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95624</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1616</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>227887</td>\n",
-       "      <td>38.400676</td>\n",
-       "      <td>-121.381010</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>812</th>\n",
-       "      <td>9861 CULP WAY</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95827</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1380</td>\n",
-       "      <td>Residential</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>131200</td>\n",
-       "      <td>38.558423</td>\n",
-       "      <td>-121.327948</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>813 rows × 12 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                    street        city    zip state  beds  baths  sq__ft  \\\n",
-       "0          1005 MORENO WAY  SACRAMENTO  95838    CA     3      2    1410   \n",
-       "1     10105 MONTE VALLO CT  SACRAMENTO  95827    CA     4      2    1578   \n",
-       "2        10133 NEBBIOLO CT   ELK GROVE  95624    CA     4      3    2096   \n",
-       "3         10165 LOFTON WAY   ELK GROVE  95757    CA     3      2    1540   \n",
-       "4        10254 JULIANA WAY  SACRAMENTO  95827    CA     4      2    2484   \n",
-       "..                     ...         ...    ...   ...   ...    ...     ...   \n",
-       "808     9507 SEA CLIFF WAY   ELK GROVE  95758    CA     4      2    2056   \n",
-       "809  9570 HARVEST ROSE WAY  SACRAMENTO  95827    CA     5      3    2367   \n",
-       "810       9723 TERRAPIN CT   ELK GROVE  95757    CA     4      3    2354   \n",
-       "811   9837 CORTE DORADO CT   ELK GROVE  95624    CA     4      2    1616   \n",
-       "812          9861 CULP WAY  SACRAMENTO  95827    CA     4      2    1380   \n",
-       "\n",
-       "            type                     sale_date   price   latitude   longitude  \n",
-       "0    Residential  Fri May 16 00:00:00 EDT 2008  180000  38.646206 -121.442767  \n",
-       "1    Residential  Fri May 16 00:00:00 EDT 2008  190000  38.573917 -121.316916  \n",
-       "2    Residential  Fri May 16 00:00:00 EDT 2008  289000  38.391085 -121.347231  \n",
-       "3    Residential  Fri May 16 00:00:00 EDT 2008  266510  38.387708 -121.436522  \n",
-       "4    Residential  Fri May 16 00:00:00 EDT 2008  331200  38.568030 -121.309966  \n",
-       "..           ...                           ...     ...        ...         ...  \n",
-       "808  Residential  Wed May 21 00:00:00 EDT 2008  285000  38.410992 -121.479043  \n",
-       "809  Residential  Wed May 21 00:00:00 EDT 2008  315537  38.555993 -121.340352  \n",
-       "810  Residential  Wed May 21 00:00:00 EDT 2008  335750  38.403492 -121.430224  \n",
-       "811  Residential  Wed May 21 00:00:00 EDT 2008  227887  38.400676 -121.381010  \n",
-       "812  Residential  Wed May 21 00:00:00 EDT 2008  131200  38.558423 -121.327948  \n",
-       "\n",
-       "[813 rows x 12 columns]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sacramento = pd.read_csv(\"dataset/sacramento.csv\")\n",
-    "sacramento"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x16a3aa3b0>"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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lDstYm5XyrCh6MUgioqhkxnIEZCyr5FlR9OJwGxFFLbMPy1i9yCWR1bEniYiimlmHZWKlyCWRldmEELy18aOhoQEOhwMulwvp6emR3h0iigJKRS6lsM0MvVxEVmfE9ZvDbUREBuLaY0TWwSCJiMhAWopcEpG5MUgiIjIQi1wSWQeDJCIiA7HIJZF1MEgiIjKQVORSaW6dDR2z3Fjkksj8GCQRERmIa48RWQeDJCIig5m9yCWZA4uNmh+LSRIRhYBZi1ySr7Z2EfbzxGKj0YHFJANgMUkiIuuKRLDCYqPhwWKSREREOknBinddqxpXE+5dXo6SymrDt8lio9GFQRIREcWcSAUrLDYaXRgkEZGlMBmW1IhUsMJio9FFc5B05MgR3HnnnejWrRtSUlIwYMAA7Nixw/28EALz589HXl4ekpOTceONN2L37t0e79Hc3Iz7778fWVlZSE1NxaRJk3D48GGPNvX19SguLobD4YDD4UBxcTFOnTrl0ebgwYOYOHEiUlNTkZWVhQceeAAtLS0ebXbt2oXhw4cjOTkZPXr0wBNPPAGmYRFZU0llNa5fvB6Tl5XhwVUVmLysDNcvXh+SYROKbpEKVtQWEc26yG7odkkfTUFSfX09hg0bhoSEBHz88ceoqqrCH//4R3Tt2tXd5plnnsFzzz2HJUuWYPv27XA6nRg9ejROnz7tbjNr1iy8++67WLVqFTZt2oQzZ85gwoQJaGtrc7eZMmUKKioqUFJSgpKSElRUVKC4uNj9fFtbG8aPH4/GxkZs2rQJq1atwttvv405c+a42zQ0NGD06NHIy8vD9u3b8eKLL+LZZ5/Fc889p+ezIiITi0R+CUWvSFVGD1RsVDLnvyv4nTUBTbPbHnnkEWzevBn/+te/ZJ8XQiAvLw+zZs3Cww8/DKCj1ygnJweLFy/G3XffDZfLhe7du+Pvf/87br/9dgDA0aNH0bNnT3z00UcYO3YsvvzySxQUFKCsrAxDhgwBAJSVlaGoqAhfffUVrrjiCnz88ceYMGECDh06hLy8PADAqlWrMG3aNNTW1iI9PR1Lly7F3LlzcezYMdjtHVH5okWL8OKLL+Lw4cOw2QJP8eTsNiLza2sXuH7xesXhExs6ahRtengEp+ATgAvfmRpXk2xeUii/M1JAD0B229L2Ac50C0bYZ7etXr0agwcPxo9//GNkZ2fj6quvxrJly9zP79u3DzU1NRgzZoz7MbvdjuHDh2PLli0AgB07dqC1tdWjTV5eHgoLC91tSktL4XA43AESAAwdOhQOh8OjTWFhoTtAAoCxY8eiubnZPfxXWlqK4cOHuwMkqc3Ro0exf/9+2WNsbm5GQ0ODxz8iMjcmw5JWkayMLhUbzUlX7qXiTDdz0BQkffvtt1i6dCn69u2L//3f/8U999yDBx54AH/7298AADU1NQCAnJwcj9fl5OS4n6upqUFiYiIyMjL8tsnOzvbZfnZ2tkcb7+1kZGQgMTHRbxvp/6U23hYuXOjOg3I4HOjZs2eAT4WIIo3JsKRHJCujjyvMxR9/fJXfNgzuI09Txe329nYMHjwYTz/9NADg6quvxu7du7F06VL853/+p7ud9zCWECLg0JZ3G7n2RrSRRheV9mfu3LmYPXu2+/8bGhoYKBGZXKTySyj6RbIy+onGZlXtGNxHjqaepNzcXBQUFHg8duWVV+LgwYMAAKfTCcC3l6a2ttbdg+N0OtHS0oL6+nq/bY4dO+az/ePHj3u08d5OfX09Wltb/bapra0F4NvbJbHb7UhPT/f4R0ThpXUaf6BkWBs6qihfm59p+L5S9IuPs6GoTzfcOqAHivp0C1veGoN789MUJA0bNgxff/21x2PffPMNevXqBQDIz8+H0+nE2rVr3c+3tLRgw4YNuO666wAAgwYNQkJCgkeb6upqVFZWutsUFRXB5XJh27Zt7jZbt26Fy+XyaFNZWYnq6gvZ/2vWrIHdbsegQYPcbTZu3OhRFmDNmjXIy8tD7969tRw6EYWJnmn8kcwvIdKLwb35aQqSHnroIZSVleHpp5/Gv//9b6xYsQKvvfYaZsyYAaBjCGvWrFl4+umn8e6776KyshLTpk1DSkoKpkyZAgBwOBz4+c9/jjlz5uCTTz7Bzp07ceedd6Jfv34YNWoUgI7eqXHjxmH69OkoKytDWVkZpk+fjgkTJuCKK64AAIwZMwYFBQUoLi7Gzp078cknn+BXv/oVpk+f7u79mTJlCux2O6ZNm4bKykq8++67ePrppzF79mxVM9uIKLyCmcYfyfwSIomWXlAG9+aneYHbDz74AHPnzsWePXuQn5+P2bNnY/r06e7nhRBYsGABXn31VdTX12PIkCF46aWXUFhY6G7T1NSEX//611ixYgXOnTuHkSNH4uWXX/bI/Tl58iQeeOABrF69GgAwadIkLFmyxKMm08GDB3Hfffdh/fr1SE5OxpQpU/Dss896zGbbtWsXZsyYgW3btiEjIwP33HMPfve736kOklgCIDpFYlVvCo5R0/h57s0nVs6J3sVyI7HIbiww4vqtOUiKNQySog9/cKJT6d46TF5WFrDdyulDUdSnWxj2iIwQK3+PUi+o9wVVbb0jvYFkrASgehhx/dY0u43I7JR+qKThGg67mBen8VtPrPw9Blos14aOekejC5yKAYyUPK5FrASgkcQFbskyIrWqNxmDM32sJZb+HiNRzJTL8IQHgySyDFZdjm6c6WMtsfT3GO5e0FgKQCONQRJZBodrohtn+lhLLP09hrsXNJYC0EhjkESWweGa6Mdp/NYRS3+P4e4FjaUANNKYuE2WIf1QBVrVm8M15hbJZSLIOLH09yj1gt67vBw2wON4Q9ELGksBaKSxJ4ksg8M11hGpZSLIOLH29xjOXlDm74UP6yQFwDpJ0YfTYonMI9b+HsNVt0ia3QbI91xxeJrFJMOCQVJ0YoE1IvPg32NoxFoAqhWDpDBgkERERGbFAFQZK24TGYA/MkQUrfRU6ib1GCRRTGN3NRERKeHsNopZLOtPQEdPYuneOrxXcQSle+tYpZiI3NiTRDHJiAUpKfqxJ5GI/GFPEsUklvUn9iQSUSAMkigmsax/bOMCoUSkBoMkikks6x/b2JNIRGowJ4liUiytK0W+2JPoi6UwiHwxSKKYFO4FKclc2JPoyYgEdgZZZEUMkihmSQtSel8cnJzdZHnsSbxASmD3/hykBHY1a4BxliBZFZclCYDLklgf74BjExcI7fjuX794vWJ+lhQsbnp4hOLfhFKQFUufI5mTEddvJm5TzJPK+t86oAeK+nRjgBQjpJ5Ep8NzSM3pSIqZC3uwCeycJUhWx+E2IopZ4wpzMbrAGbM9icEmsGsJsri+GEUjBklEFNNieYHQYBPYOUuQrI5BEhFRjAo2gT1aZgky75D0YpBEMYk/mkTBl8KIhlmCnHlHweDstgA4u816+KNJ5CmYvwkzzxLkzLvYZsT1m0FSAAySrIU/mkTyguldNeONhxHlDSi6GXH95nAbxYxA05Vt6JiuPLrAGVM/mhx6JCC4BHYzzhLkzDsyAoMkihn80fRlxh4Aik5mmyXImXdkBBaTpJjBH01P0tCjd+AoLUdRUlkdoT0jM2hrFyjdW4f3Ko6gdG9d1BWEjJaZd2Ru7EmimMEfzQs49Ej+WKGHMRpm3pH5sSeJYob0o6l0ybeh40IQCz+awS5HQdYVjT2Mcr1eUnkDAD5/82rKGxAB7EmiGBJsTRgr4dAjyYnGHsZAvV5L7xzo87wzynrFKHIYJFFMMcuPZqRnlKkdUsxKtYd4T8wp0ucnUqJtcoNSSQ+p10sq6WG2mXcUPRgkUcyJ9I+mGfI9AuVrSOb8f59j/qTYuuM2w/mJlGjqYdTa62WGoI6iD3OSKCZJP5q3DuiBoj7dwhogmSHfw1++RmfHGsybhxIKZjk/kRJNkxuYV0fhwCCJKEwC3fkCHXe+4ZpqLQ095qQrD6lFYr8ixWznJxKiaXJDNPV6UfRikEQUJma88x1XmIs//mSA3zaxckduxvMTbp17GL2ZbXJDNPV6UfRiThJRmJj1zvfEmWZV7ax+R27W8xMJjpQEnDrb6vFY15QELLytn2nysqxaBylWJw2YFYMkojAx652vWfdLTigvINH0OYSK0mwxAKj3CpoizYolPWJ50oBZMUgiChOz3vmadb+8hfoCEi2fQ6j4y8kCzFMjyTtQfmnKQDz5YfTXQVJbzoDCi0ESUZiY9c7XrPvVWTguINHwOYRSNNRIUgqUHx9/JTJS7VE7RBWNRTxjBRO3icJImlHmdHgO2TgdSRG9UzRqv0KxKGo4Z52F8vx4fzYt59tNtYCs2XOy/JVnmLFiJ1znWsJe0sMowUwaiPaFiM2OPUlEYRbpYpah2q9QDYeFu4cjFOdH7rOJswGdr2eRzj0xc06W1Xta9AaozGEKPQZJRBFg1grAevcrlMNhwfRw6E30NvL8KH023jf8kc49MXNOVjQMBQZDT4DKHKbw4HAbEQUl1MNhens4Siqrcf3i9Zi8rAwPrqrA5GVluH7x+rBWzQ6UDN1ZpAtW+qvCHumcLLMPBQZLaxFPFj4NHwZJRBSUUBdh1FMFOhzLi6jJBQn02XiLdMFKs+bMmXko0AhaA1QzFD5V+v5bLUeKw21EFJR1VTWq2um9y9c66ywc+Stqc0H0HnMke0TMmDNn5qFAo0gBqvf3Sq6cQaR71pS+/5OuysXqz6stlSPFIIkshxVrQ8f7s61vbMbrm/erem0wd/laLiChzl/Rkgui95jlXhfO73Uoc+b0HEeslGdQG6BGsmdN6ftf7WrCqxv3+bSP9hwpBklkKZztETpKM7QCMeouX+0FJJR32Vp7qQL1gHhT+qys8r0O5ji0BMrRTE2AGqmeNS05dpJon33IIIksg7M9QkftDC05Asbd5au5gITyLltrL5W/HhBv3j0iUo/Luqoa2d66aPteG/H3acahwEiIVM+a1hw7STTPPmTiNlkCZ3uEjp67x85+Nqx3WC/iehK91dLTS6WUDO19/eqcHN15Zp7ScGY0fa+N/PuUAuVoLRxplEgk2Qeb4xSNsw/Zk0SWYPU6KpGk9+5RMrrAaeDeBBbKu2y9vVRyPSCDemVgx4F6nx4Rf4vMeouW7zX/PkMj3D1rweY4RePsQwZJZAmRnu1hZXo/s0jOOApV/kowuSByQ4Xe/6+3187s32v+fYZOOAvTas2xk0Tz7EMGSWQJVq2jYoaZeno+MzPMOArFXXaoc0H09tqZ/XsdbX+fZvi7MyMtOXYSM/wWBINBElmCFeuo6JkJFIofdzV3j97rkJllxlEo7rJDOctKa09KtHyvo+nv0yozCUNF6fuvVCfJLL8FetmEEObO+IuwhoYGOBwOuFwupKenR3p3yA8plwOQv8MP5Swgo4MTpbwUf8cSyh/3QJ/tS1MGIiM1MabuvEMRkJburcPkZWWq2obje62H0ucSqr9PI8+Dnr+7WKX0uZupF86I6zeDpAAYJEWXSNwFGr3NtnaB6xevVxx2ke66Nz08wv3jY+SPu7+LHO+wQ0s692pyPsz42Qf6jhj9HTLy/fT83ZG5MUgKAwZJ0SecdzKhuPNU25uwcvpQFPXpZuiPe6CLTqTvEiO9/XDw1+Mi0FFSYXSB03THrvZvwahzaPTfnta/OyWx8B2NFkZcv5mTRJYTrtkeoVojTG1eSk1DE0r31mHzv08YMr1abbG/SE3RjpWerGisLK31byHY71Ao/vaMmIEXK9/RWMIgiUinUNV+UTvD58kPduNkY6vq9/X34x7sRSfUd89qAjgrVWKOtsrS4a6DFIrtBTsDjxX/rYlBEsUUIy/moar9orYWiZYACfB/EQjmohPqu2c1Adwj7+zC/NVVqGmwzh18OOvfBCvcdZBCsb1gZuCFqleZIo/LklDM6LzUw4OrKjB5WRmuX7weJZXVut4vVLVfpFokwIX8Comen1c1y3DovehId8/eAZZ096z3s+1MTQB36myrR4Bk9D6Qf+GugxSK7an5u1Oq9aPlJoOiC4MkigmhuJiHco0wpXWZMlMTNb2P2kJuei46ge6eBTp6eDbvORHU2mJ6ex+iaW2zaBfKv4Vwbk/vemisKG5dHG4jywtVV3ioqy/L5aXUuM7hof/+XPV7qE321TPUoKY69KmzrZj6+taghr6C6X0w85pgVpoFFe5V6UO5PT35YNFWUZzUY5BElhfKpNJQz0Tyzksp3Vun6nUzb+qDYZd1V33h1XPR0XJXHEzyqt71ojoL9R281oDHirOgwj0rL5Tb05oPFk0VxUkbBklkeaHuCg/1TKTOF+CsVDuc6Uk41uD/x/ih0Vdo3r6Wi05bu8CJ082q3zuYGXJ61ovyFso7eK0Bj5VnQYV7Vp5ZZgGGuyeNwieonKSFCxfCZrNh1qxZ7seEEJg/fz7y8vKQnJyMG2+8Ebt37/Z4XXNzM+6//35kZWUhNTUVkyZNwuHDhz3a1NfXo7i4GA6HAw6HA8XFxTh16pRHm4MHD2LixIlITU1FVlYWHnjgAbS0tHi02bVrF4YPH47k5GT06NEDTzzxBFg/M7aEoytcuvO8dUAPFPXpZtiPoXey+dTXt6LpfJs76OjMqCG+TQ+PwMrpQ/GnOwZg5fSh2PTwCI+LtrRPT374pab39pe8GiipXjFXJN2OrikJfhPa42xAfWOLnxb6ac11CzT0C2jPoWprFyjdW4f3Ko6gdG9dxPOvQvW3YJbtKdGbz0Tmprsnafv27XjttdfQv39/j8efeeYZPPfcc3jzzTdx+eWX46mnnsLo0aPx9ddfIy0tDQAwa9YsvP/++1i1ahW6deuGOXPmYMKECdixYwfi4+MBAFOmTMHhw4dRUlICAPjlL3+J4uJivP/++wCAtrY2jB8/Ht27d8emTZtQV1eHu+66C0IIvPjiiwA6qm2OHj0aN910E7Zv345vvvkG06ZNQ2pqKubMmaP30CnKRGtXuFKPg+tsx9R/R0oCTp29UAYgVEN8avZJC6UZcoF6VpR6DdZW1bgrVMtpF8CMFeVYGmfshUpPrpsRQ7+de9z2n2jEym0HUdNwoVcvmobtjMrLMkt+l1l6tsg4uoKkM2fOYOrUqVi2bBmeeuop9+NCCLzwwgt47LHHcNtttwEA/vrXvyInJwcrVqzA3XffDZfLhddffx1///vfMWrUKADA8uXL0bNnT6xbtw5jx47Fl19+iZKSEpSVlWHIkCEAgGXLlqGoqAhff/01rrjiCqxZswZVVVU4dOgQ8vLyAAB//OMfMW3aNPz+979Heno63nrrLTQ1NeHNN9+E3W5HYWEhvvnmGzz33HOYPXs2bDZ+cWNBNHaFq7kAJ3WJw1u/GIITZ5rD8mPsb5+00DJDzjvQkAvgxhXm4qUpV2Pmyp3w14lidJ0aPQFPsEO/ckN73qJl2M6ovCyz5XdFU30rCkzXcNuMGTMwfvx4d5Aj2bdvH2pqajBmzBj3Y3a7HcOHD8eWLVsAADt27EBra6tHm7y8PBQWFrrblJaWwuFwuAMkABg6dCgcDodHm8LCQneABABjx45Fc3MzduzY4W4zfPhw2O12jzZHjx7F/v37ZY+tubkZDQ0NHv8o+pm5K1xuuETNBbimoRlxNlvYhhnUzGbzR25atlH1ZTJS7X4DpFDUqdET8AQz9Ks0tOctGkofGFWSIxx1uii2ae5JWrVqFcrLy7F9+3af52pqagAAOTk5Ho/n5OTgwIED7jaJiYnIyMjwaSO9vqamBtnZ2T7vn52d7dHGezsZGRlITEz0aNO7d2+f7UjP5efn+2xj4cKFWLBggfzBU1QzY1e43F3wRfZ49Ol+karXq7lQGzUUEcwMsWBnyAVqF4k6NXoCHr1Dv1p78cxe+sCIkhysck3hoClIOnToEB588EGsWbMGSUnKPxDew1hCiIBDW95t5Nob0UZK2lban7lz52L27Nnu/29oaEDPnj397jtFDzN1hSvl4pxpbsPnh12q3iPQhdrIoYhgEtuV8qWMSqqPRJ0aPQGP3qFfvb14ZixeWLa3zpCSHOFeL45ik6bhth07dqC2thaDBg1Cly5d0KVLF2zYsAF//vOf0aVLF49ems5qa2vdzzmdTrS0tKC+vt5vm2PHjvls//jx4x5tvLdTX1+P1tZWv21qa2sB+PZ2Sex2O9LT0z3+ERkt2PweNRWFjR6KCFTlWMnMm/r4zJBT+55qKyeHu+IzoH8ZCz1Dv3qDHbMVLyyprMaMFcpJ9p1FovfQbDMFKfI0BUkjR47Erl27UFFR4f43ePBgTJ06FRUVFbj00kvhdDqxdu1a92taWlqwYcMGXHfddQCAQYMGISEhwaNNdXU1Kisr3W2Kiorgcrmwbds2d5utW7fC5XJ5tKmsrER19YUf+jVr1sBut2PQoEHuNhs3bvQoC7BmzRrk5eX5DMMR6aXnhzWY/B6pB+Lmwo6hQ7nthWKqub+gwJ9hl3VXHO4IZr2sULyPVnpz3dSUWuhMa7ATiqAwWFLQfuqcuoWZw917aPTajmQNNhFk0aAbb7wRAwYMwAsvvAAAWLx4MRYuXIg33ngDffv2xdNPP43PPvvMowTAvffeiw8++ABvvvkmMjMz8atf/Qp1dXUeJQBuvvlmHD16FK+++iqAjhIAvXr18igBMGDAAOTk5OAPf/gDTp48iWnTpuGHP/yhuwSAy+XCFVdcgREjRuDRRx/Fnj17MG3aNPzud79TXQKgoaEBDocDLpeLvUomYpYpv3qHs96rOIIHV1Xo2macDR5JynLbK91bh8nLygK+18rpQzUPRaiZYSXpmpKAHb8dHfDcRPtMp1B/H9vaBa5fvF5V1XFpq5GekNCZtP9qvjPSMOWmh0cEzEny95mofR9AeejbjJ8lqWfE9dvwitu/+c1vcO7cOdx3332or6/HkCFDsGbNGneABADPP/88unTpgp/85Cc4d+4cRo4ciTfffNMdIAHAW2+9hQceeMA9C27SpElYsmSJ+/n4+Hh8+OGHuO+++zBs2DAkJydjypQpePbZZ91tHA4H1q5dixkzZmDw4MHIyMjA7NmzPXKOKPqYZcpvMJWT9QyD3Hh5Fj775oTPLC657YUykVlKgC/bW4df/v3/0NjSpthWbZhgVFJ9pJLzQ53rpqXqeKiWAfEnUJCotedUS+9hsKU9mABO/gTdk2R17EkyF7Pc8QW6Mw50F6vlzlqSmZqAk43yQxXe2wtlT5JE7Tbe+vkQxMXZIt7rZwVKNwh3XHMJemelROTzVXPTorbntGtyAhb9R7+w9h6G42+FIsOUPUlEoWKmOz4jZtbccc0leH7dN6q2l5miHCDJbS8cVcbV9kLNWOGZhxJNFaHDQctQndnKWKjtTVXbc/rS1IEYdlmW4vNyn1Wwn0kkykdQ9GCQRFHDTFN+g/lh1ZLTI/nh1T3wX5v3q95eOKqMq73weSfqRktF6ECMyEPS0wtiljIWWm5a1AbtQy9VPq5An5XezyQS5SMoegS1wC1ROJnpjk/vD6vaqsmSrsld8NCovkhJVHc/03l7oa4yrrckQDRUhA7EiJlQ0V4tWstNS7CzD0P5WUWifARFD/YkUdQw0x2fnuEsNbWRMlMTMPmaS2CzAfFxcfjH9kN4ft2egPvTeXvePRwbfn0TdhyoV+zx0NsjoiWZ2Fs0F/oLJmFfYqahY7203rRIQbt3b1CgRPNQf1bRuLYjhQ+DJIoa4cizUUvPD6uaGT4nG1txfd/ucJ1rkb0Q+zNvYgHWVtUoDkncOqAHgAt1nTpWkT/73Sry+pJelS58XZMTVNXD0dvrF6kSEEZdsM00dKyXnpsWPflD4fis9AZwZH0MkihqmO2OT+sPq9qAoKahCc+UfKUpQPrlDR3rEMoFVtWuJtyzvBw/H9Yb6ckJ3wVFzcrb15gzJHfhaxcCU/+yNeBrT5xuxnsVRzQFOpEsAWHUBdtMQ8d66b1p0ZpTFa7PymxJ8WQODJIoqpjtjk/LD6vaO++TZ5o1JXXbAKz+vBrvVRz1G1i9riLxG9A3hOF94WtrF34voEBHUcwnP/zS/f9qAh0jhrqCYdQF20xDx3qF66YlnJ+VWZLiyTwYJFHUMdsdn9of1kB33gCQkZKAzNRETduXei+MFOwQhpp8JTVFMTszQx6PURdstb0w7e1Cc09bOIXjpsVMw+wUexgkUVSKxjs+KXC4Z7nyAp/1Z1tx8OTZMO6Vf8EMYYwrzMVLUwbit+9V4mTjhfUTvZdVkQQKdMyQx2PUBTtQL4wAcK61DVNfvzBkqdTTpjY/K1R5XKG+aTHbMDvFFgZJRGE0usCJrikJOHVWuXL2ym0H4UxPwrGGwOt0hdq3xxvdSd5aL34lldV48sMqjwApLSkep5uUlzHxF+iYIY8nUA+ZQEeRUDUUk95TElB/ttXnOyLX06Y2PysUeVzhTJ432zA7xQ4uSxIAlyUhI6ldAuGhUZfjhe+qcatZ0NSm0DsTLDWL6cpRyh1S6+fDeuPxid/3eMxMy0cEKgiqJQDpHGxkXWTHnP+uUEys77z8zNqqGlVL9IRiKR+rLiRM1mLE9ZvFJInCSG0vR++sFNlCkN6k3oxQ1WRUyhvyV7xPTT2oQP7xf4d8Ck0O6pWBQNfDOFtHO2k/SvfW4b2KIyjdW2do4cpxhbnY9PAIPDSqr+zzWoocSkPHtw7ogTibze/MQ6mnrezbOr/5WUDHsGXL+XZV7bR8NpEsgtn5syrq040BEoUch9vIdKx8t6gl8beoTzePXA+5mkZORxJuLnSqWrLECGoSpLWu+C7nTHMblqz/Nx7sFITsOFAfMBhsFx3tXOdawtLTsWr7IdnH9SaSqw2iS/fWqcrP+nvpfkPzuMyQPE8UTgySyFQiWQMnHOobWxQTlwHfxF/vBPWZIy7zCSC37TsZtiAJCHxhNSonaNm/9uLeG/sgsUucpvdds7sab2w54PO40WUCjEgk974hyEq1q9y6up6fAyonAaj9bM2QPE8UTgySTMbKvSiBRLoGTqiVVFZjxorAeTqdZ+rIfR+8Lz7X5meqrnANdFTD/umwfFySmYwnP/wS9Y0tuobGlC6sRtX2OdPchiFPr8PC2/ppWkn+zVLfAAkwvqcj2ERyuRsCZ3oSuqYkwHW21e/suaJLs7Dk070Bt90rM0XVPqr9bM2QPE8UTgySTMTqvSj+WL0bX22eTnryhT9Jtd+H+Dgbfjqst6o13gDgpSkDMaxvFgAgOTFe19prgPKFVU09KLXqz7binuXleHnKQDiSE1QFg/6monTu6ZB64ToHoABUT6c/cVo5d6gzuc9J6Yag84xGf9Pdh/bppqoUQXFRb/xl0z7DagxZoQgmkRac3RZAuGa3hWIGSjQJxcylUPXKaXlfqe3mfx9XdecvmdA/Fx984ZsAq/R9aGsXGPTUWsXSAhJnuh2bHxnpsb8lldWYv3q3R8Kwv6Cp8wyrQKu2w8/7aGGz+Q9+tPrZsN74uLLGZ+o9AI/PUO10etl9hvzn1NYucP3i9Yqvt323L/YucR7nxHtflD5jpdltgdqpIe17oKDL33eDKFyMuH6zJ8kErN6LoobR3fih6pXT8r5qL6Zy5AIkQPn7EB9nw6Lb+vktVAkA8yd9X+E75PmY47taTnqL90l1bR55Z1fAwE2NQAFSZmoCTjaq345cDpfcfnoP9aotbeDvc1KT11N/thVv/WII4mw2xWBcbe0gI2sMsbAjxRoGSSbAZEhju/FDlduk5X2DrRPkj9L3YVxhLl5RCEy6piRg0Xe5PZK2doEl6/+N57+rx9SZ67vXO7wKX2q9sLoMCJD86ZqcgJemDkTt6WY89I8KVa/xlzjvrXNQOuJ7OapLG/j7nNQG+ifONOPWAT38tlFb7drIqtgs7EixhEGSCTAZ0rjlHgL1ygH6euW09PZJ2wj1OLbc90G6GJZ9W4fSvXUABIouzcJQr5oyckNsnUnHlJwQj5d+PhAnGps1XViNqJWkxqlzrYiz2eBMV58Do7Vcktrp9JLHx1+JacPyFT8no/N6IrFEj9nWT+xMaTg8lifFkH4MkkyAyZDGdeOrqdFT7WrCkvV78OCoy1Xvn5bePmkboab0fYiPs2HYZVkYdlmW7PNqe7mkY4qLswXs0fBmRK0ktWpPNyFBxcUuzgbcVdRLtjyAGmqn02el2f1+TyOxYGsohp/NuH6i0nFOuioXqz+vjslJMRQcVtw2AelHU+ln1YaOP2irr3ItdeN7V5l2OpJUD5Gp7W17ft0ej8rAStWZpcc/VllFuPZ0U8h7/IL5Pujp4fE+HjWVrLV+BsHcz2el2vHoPysDtvvTHVdjzPf1XxCNmk4v3RAAvscdiryeUFXIDmVFcz2UjrPa1YRXN+6LSIVwin7sSTIBJkNeEGw3vpbeNml4bG1VjUy9GjsG987Epj0nVNcf0rr9YOj9Pujp4el8TGp7JNR+DjNvugzDLsvC+q+OYdm/9mnaL6nHpV0IVcnhe2vP4JZ+uZrLE4RiOn248npCNSnEbOVK9AT/sTIphoLDniSTMKIXxSqCWZ9J6pVTo9rVhIf/5wvcI3eX3dCMD76oVh0gSb077e0CNQ1NyExNCNj25SkDVe+rJFfF98HfHb6WHh7vHistPRJqe0cfGNkX7e0Cb209qHq/pNcDHfk/b5cfVvWaFz7Zg7VVNYq9OP62M29iARK7xBnaAySt/7Zy+lD86Y4BWDl9KDY9PMLQv3Wtw8RqRHLtNiV6h3f1HD/FFvYkmYiZkyGjhdQrF2gqvOR/VF5g/ZF6/861tmHq61sDtgXgvuMeW+i5NtsL3800k7sjfmhUX8wc0dfv9yHQHb7Wni7poq+1R0JN7+ikq3Ix/A+f6rq4Ob/LM3nywy81vX7B+1XY9PAI2V4cpe2Eajo9EPq8HqMnhZi1XEmwQ9xWnhRDwWGQZDJmTIaMNuMKc/HQqMtlp7aHQteUBNSfbVU15ON9MfU+31c4L9I9jBGoRMFLU66GIyVRVdVq722WqVxQtXNZAn8BxaSrcvHaxn2ahkeu7Z2BqUN7ITstCfWNLaqWePEm7eO4wly0twvct2KnYtuHRl2OmSMuC+l0+lAzelKIWcuVBDvMbeVJMRQcBklkSTNHXIaV2w4oTnE3wn8W9cLY7zsx578rFNvYAGSmJuK346+E05Ec8GKq9wKspvTBzJU7VU1/9+6xKqmsxiNv7wr8Qvjekcsdz6BeGRj+h081Bzi7qxswoX8eAOD6xet1lxeoPd2EtnaBJz/8UrGNDcCq7Qcxc8Rlss9Lwa00rfyDL46GJFgKdtq60TPpzFquRO9SOKGYSUjWwiCJLCk+zob5k75v6NIY3nplpqB07wm/gZgAUNfY4g6Q1NZv0XoXriYnI1CAlJmagB8N6IFr8y9sW2tRTLk7cu/estIAvVJKGpvbDCmxkJ2WpLtHpPO52n+iESu3HfS7dEgwjEiONnpSiFnLlfg7TiWxNimG9GGQRFFBz3ppzefbMWtUX7yxeR9OnTtv6P7E2eC3J8Lb2qoazP7vipDVbwn2zt1mA042tuL1zfvx+ub9yHUk4fHxBXjyQ3UzhrTckQezr8G8tvM+fvDFUc3bU7PMTLBV3Ttvy6iq8UbmUUWixpNaSsep9HfGCuGkBoMkMr1wrZemhdaSMHJrhUn1W7zpuRAGe+fuvTZajasJ961Ql/wuUboj9w5ws1LtuvezoxeoTvPrvHsN1H5eJ043o61dYG1VjeoCnMEmL4ciOdp72DMr1Q7YOpY+Kd1bp3oYz+zlSvwNV/9m3JVRkUdG5mITwsi1ta3HiFWESZ+OtcX24Pl1e3yek1vBPJTrpYWbvxXklYbs/K3OHkpdkxOw6D/6yQZ0ckGrMz0JTefb4Drbqmlfcx1J2PDrm3DDM+sD5pp5r8/mHVRr+byk/dW6UO/K6UN1JS+X7q3D5GVlIXt/I4bxzFYniUiOEddv9iSRKXWsLVaFmgb5HqFIrZcWLnI5MXKfiTM9CfMndVyYtOZkGOXFyVfjB5d393lcKWg91qAvkJt0VS52HKhXlYx//4i+GHppN8VeAy05LErfwUD0Dg2GMjnaqGG8aJrhRxQMFpMk05F+yANdnDoHEuFcKyycpAthSWU17pH5TGoamnDP8nJ89EW1YkHSUIuzyQ+xzV/tf7adVqs/r0aN65yqtpd2Tw1YkDTUn5feIdBQJUerXfxZ7fIiwRR9JYoW7EkiQwU7ZdmItcWsJDstCW3tAo+8438K/oyV5XgJV+OW/nnuO/yPK6vxt1J9i7lqcaKxo2en87n/1zfHdffAKKl2NeFkY4uqtmoDCKlH5M3N+zQl4vsTbPJyqJKjzVrjiMjMGCSRYYzIUwh2bTEr6ZqSgGvzM1H2bV3AfBghgPtW7MQrcTaMK8x1X+TCESTtP3E2bAnzmRfZDQ8g4uNsyErTn0zuvX0guOTlUCVHm7XGkRkFe7NH1sEgiQxhVK6D1rXFOl8Q9RSTMzPpJ7l0r/rZXJ1nPUk9EqEOXN7Ysk9zErZezvSkkAQQRgXaRk0rD8UCuGatcWQ2TEqnzhgkUdCMnLKsd20x6b8jkbgcKvVnW78rnqj+aDoPl2hdx04vrbO+9JAC4kG9MrDjQD1+Oqw3/llx1GP4LZgAQk1AmZGSAECg/uyFmlu5jiTccc0l6J2VYniPg9HJ0WqqUsfZgHqVQ5pWZGR9KrIGBkkUNCNzHdQuL+BMt2P+pO97/GAp3X1Hs6OnzqHo0iws+XSv6td07o0bV5iL/zfwYkMW8o0kAfkFcaUq4aMKnEEFEPFxNky6Kle2bpWk+Xw7zra0ddp2Ih4fX4Bb+uu7aKoZ0jFyLcfOw3hK2gUwY0U5lsbFXjBg1sV7KbI4u42CZmSug/RDDlwYPvH20KjLsfmRkbI/4uMKc7Hp4RFYOX0onv/JVchMTVS1b2b1q//5HJ99U4uuKQmqX+PdGzfsMmsk4b66cZ9P8Fvf2Ir/2rwfrnMtPheutnaB0r11eK/iCEr31vmdtdXWLrD682q/2+8cIHVsu2OR3ZJK/6+TU1JZjesXr8fkZWV4cFUFJi8rw/WL1+t6Ly3GFebipSlXI9A1XsssN6vQcrNHsYNBEgVN7RDZ/hNnVbVTmpqd60jCK3cOxIOj+vq9k5Puvp2OZNWzocxKCGDZv/bhmt4ZAdva0PEZeSctOx3JIdo7fRzJXRQDYK2Upq5rDUL0TBjQM21e2rd7l5f7bE8a0gl1oJSRavdbMT5WgwEmtpMcDrdR0NQOkb2w7htc4bwobMXq9P6Y2dAxlPLozd/DqXOt+PZEI97aelDXexnlky9rseSOAXjsvUq4ZNah85e0HK4E7kCkvVr8H/0BwLBhUe/hXD15JXrLFWidNm+GIR0GA/KY2E5y2JNEQZOGyNTcS4erWF1bu8CJ04ErM3uTkr7/s6gXunSJQ0GeA727pWp+H6O1C6C6oRkvTx2EmwudSE2M93g+IzUBPxvWG47kRJ/PVzo/wV5ygx26dDqS3AFK52HRP90xADNv6hPk3nVc1PUWTDx5Rvt3xXvbaphhSIfBgDzpZkLp70Spp5asjT1JZIhxhbl4aFRf2XXWJOEqVqelZo/3Gl+O73J/Oh+HI1l9PlAo/eF/v0ZLW7v7/zNTEzGgpwMVh1w42diC1zfvx+ub9yPXkYRHb7kStQ1NOHDyLHplpqC4qLfiCumPj78Sj/6zUnGWmjSzbMOvb/puWZAmPPnBbpxsVD+rbeZNl+Gh0Zf7LA0ifQ9K99ZpSk6X07H4rb5JBMEGgGoDCjP04oSqWGW0M/vivRQZDJLIML2z1PW4fPxdzoUR06W9ZwhJybSB+qqkrS6ZPBAZqYmoPd2E/SfO4oV13/i81nUu9FPc1egcIAHAycYWrP/quE+7alcT7l+50+Ox33/0Jab/IB+bHh7hM4QJAHtqz/hdSHjexAIkdolDUZ9uKN1bpylAAoBhl2XJnmvp/NU0NCEzNUHz+0r7KF3UP/jiqKrXeAchevO2tAYUavPyQtmLw2BAWSjqU1F0Y5BEhlH7w/630gP4W+mBoAu0yfUYxdnUVRXy/tGTVoW36nyedgH39Pa5txS4Hw/U6yZ3cQim4GdnHQv27g64YG3nC3mgi7reoSQ9eVudtw109Ib5y59raxdYuS1wbpsz3Y5r8zNDWvWZwYAyLt5LnTFIIsOoTeCWBFOgTSk5V0260+Pjr8S0YfkeP3pWXSDX26sb9+G6Plm4vm93rK2qkf0MJQ+O7IsHRvrOJNTSyyEA3HHNJT6PSwv2qiFduAHfZG/vi7reoaTOvStKn0fXlASPIcnO+3X94vUBKzRLPWaBTL72Eqytqgl51WcGA8qMrE9F0c0mhLDqzbMhGhoa4HA44HK5kJ6eHundMT0peAHU9ehIF61ND49Q/eMs9froDWqev30AfnR1D4/H3qs4ggdXVeh6v2gk1V3yVy07ztYxHOldLFH6/LUsAdP5At/WLjDoqbV+t32RvQuevPX7cDqSPS7canpXlL6DUit/Qbm/JSnkAgqlQFNuW2q/Yz8b1htvbN6v6j2JSJkR128GSQEwSNJOz2KnK6cPDXjnJl0g/7XnOF7+TH+Sb/HQSzCwVyZOnmlGZmoinI5ktAuBqX/Zqvs9rewVmYuynmAY6LjAp9kTMPX1wJ/1Wz8fgmF9szTu7YX909sTo3aYK1Cw7n0DULq3DpOXlQXc98zURMX6XnpuKohilRHXbw63keE6d+N/XFmtaiX6QHkuRq4y//eyg/h7mWduiCO5C2y2juKN5Emubo9STov3bEFJ5xpAt3n14ikp/faE7iApmKEkaXFg6bXb9p2Ufa3WmXRqhgIzUhP8FkAN1wxRIurAIIkM5X0XPrbAqSpI8pfnopR/ZCS5Ao3UQemi7B2InDjdjCc//FLxfaQL/NFT51RuObieEjV5JXK9Rv9bWY3fvlfpMdMuMzUBT91aiFv657kf0zqdX82ssh8N6IHXN+9X/Z5EFFoMksgwcr09zvQkdE1JgOtsq66aLP6KA1L4KF2UOwci71UcUfVeeRnqptuHuqdE7vuakhjvs0YbAJxsbMV9K3bi7sOn3LMD9cykCzSrzJGcqCpIirVCj0SRwiCJDKHU23OsoUn19G05sTLrLFiZqQm49ao8vPf5UV21hgLZc+w0SvfW+R2yUnvhvu7SLLyxeb9sMCLJSEnA0Ev1B0mB8oqUvq/+9gnomB141cUZuKV/rqrZnJmpCahpaPL47PwNBba1C1MVegxlGQKiaMAgiYKmZj2qrikJsHeJ86iJo6YmC4cV/JMuVz8edDFe27gvZD1uSz7diyWf7vWb/KwmaMh1JMF1rjVgMLLwtn4AAtcekhMoaTvY3snH36vE2EKn3+EzycnGVjz0jwqffVAaCjRTocdgkt+JrIKz2wLg7LbA1M7aeesXQxBns/lUe/Z3p6r2vWNVx7IiBXjig8BFGY0QaBp6oPyx8f2c2HHglN96QRfZu2Dhbf3w9Edfar5AB9r+y1OuRkaqPejvVOfZmGonFWiZwh/pAEXpc2QZAoomLAEQBgySAlNb/+VPdwzArQMuzGySuxBkpiZ+lyDrWQmbQ26eUu3xeK14MIZe2g1L1v8bz6/7Jmzb9l7LzTvAXfhRlbu6dyj8v4E9MKxvdzjTk3xqKAX6rsTZgLuKeuONLfuD2gfv77J7eRXXOTz54ZeGTOGP1FCX1tIGRGbFEgCki9E/vnoSWJXuVE82tuC+FeUYWd4dv/hBH1ybn4l5EwtUV2c2q1kjL8Oyf32Lxpb2wI1VaGxuAwSwtqomrAEScGGW2tCFn3gEA9Jiuas/rw7p9v+n/Aj+p/yIe5tS74qa/LV2gaADJMD3Oy8Nn3Wsa2fMFP5IVX3Wu0gwkRUxSIoxoejG17oUhJqckE++Oo5Pvjru3rdX7hyIh9/+Iuqm6kv5WKu2H1IMkJK6xEFAoPm8tk7de5f/H+Li4wzYS328g4EaVxPuW7FToXVoVHda2qb5vPoANO67mlh6utFz/SROay0LYEZWOAYio0TuF5bCTuq98b5LlNZQK6nU1wMgJZsCvpVt5JJNtcxYk/YNAF6eOkjX/kWSAFB/ttVvvlDT+XZ3gJTYRf2fZENzm9+lPcItkuP2C96vQlaqXXX7dnFhUoEWNvhPnNa7wK6ZWOEYiIzCIClGBJqBBnRcaNrUrBArY1xhLn55Qz5sXtcOmw0Y3z8XzefbUbq3Dm3tAmuralS/b+d9qz0d+sTkSGvR0BtCHaThH9g6ennU+tmw3nB6te+akuBe185briMpYMKy1KuqFHzZ4L8nygyscAxERuFwW4wIdZ5BSWW17BT0dgF88EU1Pviio5fKeyV1NaR9O3nG+kES6XfiTLOm/LXRBU48Nr7AJz8PgDsJ+2RjCzIvsvskiSsx0xR+vaxwDERGYZAUI4zKM5BL+gaAR97ZpWq4JZjhocP1ZwPW4aHYlZ2WhKI+3fDylKsxc+VO2TXkAM8cOaXk6GASkgNV1Y6GqfNWOAYiIzBIihFG5BkoJX0P6pURltyYN7YcwN035OO1EE4vt5qEeBsW39YfdY0t+P1HyuuqGUUKQB4fX4BH/7krLN8LaZvt7QLvVRxBdloS/nTH1bh/pW8Sebh6QoJZYNcsrHAMRMFikBQjtM5A86Y0Zb/G1eQeSguH1Z9X46UpA79bgFR5qrVVKFVyVqu1TSAnPQlJCXGq3ivVHo+zzW26ttk5ABlXmIuxhU68+MkevPDJHs3v1S01EXUqz68AcK61DVNf3+p+LNeRhLtvyMfqz6sj1hMSqSn8RrLCMRAFg0FSjAgmz0BN0ne4VLuakJGaiLK5IzF04bqQrFNmJgLA/xt4Mf6n/LDu91i+dT9KKo+pOleNzf6XC/HHOwCJj7Nh1ujLcepsC94sPRDw9TNu6oPLc9KQnZaEGtc5PPTfnwd8TWpiPBpbfGf51bia8NrGfXjpuwrb7AkhIj04uy0GtLULlO6tQ/P5dswa1Rc56Z5TpXPS7Zg1qq/HDLTOzLbIbI3rHBK7xOGpWwsjvSth8YPLs/DKnQORmZqo6/Ub95wIaTDbNTkBb/1iCDY9PEK2h6ZnZoqq98lMScStA3qgqE83OB3Jql6T2EU+4JGO98kPv8S1+Znu92WARERasCfJ4uTyiJzpSXho1OXonZWC/SfOYuW2g3h+3YUhEe/ikmYrGrf533VITozHkx+GPsfGDKSE5OGXZ6NgXgm0LiQUTO+QP1K4seg/+mHYZVmK7dQGd53bqRkezkhNNKy6NRGRHPYkWZhS8chjDU14Yd03qDrqwgvrvvFZbNS7uKTZisZ9pHBcVtS5Hk3FoVOaA6RQcqqoG9TRTl2vUOd2gQqUCgBNreqCP7MF+UQUPTQFSQsXLsQ111yDtLQ0ZGdn44c//CG+/vprjzZCCMyfPx95eXlITk7GjTfeiN27d3u0aW5uxv3334+srCykpqZi0qRJOHzYM+eivr4excXFcDgccDgcKC4uxqlTpzzaHDx4EBMnTkRqaiqysrLwwAMPoKXF885y165dGD58OJKTk9GjRw888cQTiIU1fdXkES37l29do87PS8UlAxWXC7ezLfoSi6ONd3XnGte5yO5QJ7NG9lUcXvMmfX/8kStOKE1Dlyv4CHR8D9QwW5BPRNFDU5C0YcMGzJgxA2VlZVi7di3Onz+PMWPGoLGx0d3mmWeewXPPPYclS5Zg+/btcDqdGD16NE6fPu1uM2vWLLz77rtYtWoVNm3ahDNnzmDChAloa7vwozdlyhRUVFSgpKQEJSUlqKioQHFxsfv5trY2jB8/Ho2Njdi0aRNWrVqFt99+G3PmzHG3aWhowOjRo5GXl4ft27fjxRdfxLPPPovnnntO14cVTdQUj/RXXLvzUIW/u3oKDWe6HS9NuRqO5ES8V3EEf1q3x1TDi38r3a+6rfT98VfBWWnSwLjCXGx6eARWTh+KP90xAG/9YgjsKpduYWVoIgqWTQTRrXL8+HFkZ2djw4YNuOGGGyCEQF5eHmbNmoWHH34YQEevUU5ODhYvXoy7774bLpcL3bt3x9///nfcfvvtAICjR4+iZ8+e+OijjzB27Fh8+eWXKCgoQFlZGYYMGQIAKCsrQ1FREb766itcccUV+PjjjzFhwgQcOnQIeXl5AIBVq1Zh2rRpqK2tRXp6OpYuXYq5c+fi2LFjsNs7kpUXLVqEF198EYcPH4bNew0NGQ0NDXA4HHC5XEhPT9f7UYXdexVH8OCqiqDf5093DMCtA3oAkM9votCYNbIv/vF/h0z9Wa+cPlRTro/c9yczNQE/GtADowqcqmaele6tw+RlZaq2ZwNUDQcSkTUZcf0OKifJ5XIBADIzO+7U9u3bh5qaGowZM8bdxm63Y/jw4diyZQsAYMeOHWhtbfVok5eXh8LCQneb0tJSOBwOd4AEAEOHDoXD4fBoU1hY6A6QAGDs2LFobm7Gjh073G2GDx/uDpCkNkePHsX+/fuDOXTTM2qIofP7dL6r/8+iXoa8P8l74ZM9YQuQch0difxaac316fz9+dmw3shMTcTJxla8vnk/Ji8rw/WL1wdcZFntNrumJDBAIqKg6Z7dJoTA7Nmzcf3116OwsGMqdk1Nx8KlOTk5Hm1zcnJw4MABd5vExERkZGT4tJFeX1NTg+zsbJ9tZmdne7Tx3k5GRgYSExM92vTu3dtnO9Jz+fn5Pttobm5Gc/OFNcIaGhr8fArmpWZ2kM2mPOSmVFyyc3G5v6mofUPmVDz0EgzomYGTjc04da4VLW1tyEhJQL2GCtl6AvH4OBtc51rwxub9soVJ711e7je4UbvNlyYPxLC+yjPuiIjU0N2TNHPmTHzxxRdYuXKlz3Pew1hCiIBDW95t5Nob0UYaXVTan4ULF7qTxR0OB3r27Ol3v80q0OwgAJj+A98gUSLgf+mGa/Mz0TVZfrV0Mr/E+Dg8+WEVfv/RV3jp07146dO9mgIkZ7pdV66PmgkF0oQBOWpXqB/KKf9EZABdQdL999+P1atX49NPP8XFF1/sftzpdAK40KMkqa2tdffgOJ1OtLS0oL6+3m+bY8eO+Wz3+PHjHm28t1NfX4/W1la/bWprawH49nZJ5s6dC5fL5f536NAhP5+EuSnNDpKmbl99SYbCKwOLj7Php8N6B7mHFCmvb94f1Lpq8yd9X1dhRjUTCqQJA3LUBP9coZ6IjKIpSBJCYObMmXjnnXewfv16n+Gq/Px8OJ1OrF271v1YS0sLNmzYgOuuuw4AMGjQICQkJHi0qa6uRmVlpbtNUVERXC4Xtm3b5m6zdetWuFwujzaVlZWorr6Qw7BmzRrY7XYMGjTI3Wbjxo0eZQHWrFmDvLw8n2E4id1uR3p6use/aOY9O2jl9KHY9PAIjC5wYsH7VYqvs8H/HT0AzBzR1z0dm6zlInsXpCTG+zzeNSUBrwSR66M2p8hfu0DBP/OQiMgomnKSZsyYgRUrVuC9995DWlqau5fG4XAgOTkZNpsNs2bNwtNPP42+ffuib9++ePrpp5GSkoIpU6a42/785z/HnDlz0K1bN2RmZuJXv/oV+vXrh1GjRgEArrzySowbNw7Tp0/Hq6++CgD45S9/iQkTJuCKK64AAIwZMwYFBQUoLi7GH/7wB5w8eRK/+tWvMH36dHdgM2XKFCxYsADTpk3Do48+ij179uDpp5/G7373O1Uz26xCbpHK0r11qu/olWYwxcfZsOi2frIL31J0O9N8Ho/dciVOnWvBkfpzyOuahGF9umNokEt7qM0pCtSOK9QTUThoCpKWLl0KALjxxhs9Hn/jjTcwbdo0AMBvfvMbnDt3Dvfddx/q6+sxZMgQrFmzBmlpae72zz//PLp06YKf/OQnOHfuHEaOHIk333wT8fEX7lzfeustPPDAA+5ZcJMmTcKSJUvcz8fHx+PDDz/Efffdh2HDhiE5ORlTpkzBs88+627jcDiwdu1azJgxA4MHD0ZGRgZmz56N2bNnazlsSzLijh7ouFi9NGUgZq4s91t3iaLP7z+6UJcp15GE/hd3DToIUTOhQG7CgByuUE9EoRZUnaRYEK11kgJRW29GqRZOW7tw38WfON1sqkKHZDwpNDJiOEtaLgeAR6Bk5DaIiIy4fnOB2xgVzB09i0rGHoELeWqjC5xB9ShJOUXzV1d5rBvo9FpYmYgo0rjAbYzSO0tIadFcsr5AM8/0vWOn/2OnNhGZDIOkGKZ1llDL+XY8+m4lk7RjnNZK296kQLumodnj8WMNzbh3eXnAqttEROHC4bYYp3aWUEllNR59dxdONuqvrUPWEMySN4GKSRo1pEdEZAQGSRRwlpB0588epOiR60jCpKtysfrzasOHRusbWwI3UqClmGS4Z651nozAkgJEBDBIogD83fkreXz8lchKs2P/iUa8unEvzra0h2z/yFPXlAS8NHmgu57Rb8ZdiefXfo0ln+41bBtPfliFsYX6enqMKj1hNLnJCLlMJCeKecxJIre2doHSvXV4r+IISvfWue+stfRE5DqS8D1nOj4/dArPr9vDACmMbAAW3dYPw/pmuQOY+Dgbhl3W3dDtBJO8bVQxSSMpTUaQFtxljhRR7GJPEgFQvpO+udCp6X1c51ox9fWtRu8eBZCZmoinf1Qo2+sRqNyDHnp7eowsJmkE5kgRkT/sSYpB3j1GH31xVPFO+r8279f03mdb2gzcU1LrTz8ZoDgspKbcg9xz/ujt6THbArXBLrhLRNbGnqQYI9djFGfzrljTQbqTttnAJUdM7uQ5/8nUUrkH73MvFXAEoKpAqBE9PYH2JZw5QGbNkSIic2CQFAOk3KK1VTWyPUP+AiABgDX+zE9Nz06gcg/Sc9L3xAb5ZUOM6OkxywK1ZsyRIiLzYJBkcUYtITLye93xyVfHDdorMorWnh1/5R6k54r6dMO1+Zkh7+kxwwK1ZsuRIiJzYZBkYUbWN9p56JQB70JGCmUOj1l6ekJNypG6d3l5SHvOiCg6MUiyKD31jeTY0DFzqi6IAoIUGsH27AQqnmiGnp5wMFOOFBGZC4Mki9Ja30iOdLm8dUCe5lluFDo/G9YbowucQfXssHiip1jpOSMibVgCwKL0zMbxvh5IC92OLtBWK4lCp2tKAq7Nz0TRdxW19WDxRHlSz9mtA3oE9fkSkXWwJ8mitMzGkS4FSyYPREZqos+ddFu7MLwYIenjOtuKe5eXY+mdA3X1+LB4IhGReuxJsihp1o6ay1xGaiLGFeagqroB7UJgQv88jztpfwUAKbyk4GbB+1Vo01G8isUTiYjUY5BkUWoCm5Hf645UezxONrbg48pjWPLpvzH1L1sx6Km1PkMuUnJrTrrd4/H0pHgkJfBrBAAZKQl4ecpAPDTqck2vswEY38+J539yFR4ffyVm3NTHb/tgAhkWTyQiUo9XN4tqaxdwJCfip8N6IyM10eO5XEcS7r4hH598dRyNzb7LiJw624p7FHNTPEOuhqY2NLXG9iK2XZMT8NCovvi/347GLf1z8eCovnjlzoHIdagb8hQAPtxVg69qGvDzH1yKy3PSVL1OTyDD4olEROoxJykKBJqq7U1u5lJmagJ+NKAHRhU4MahXBm54Zn3A7XbOTTGy5pJV3FzoRJ/uqSi6NAtDvRJ9pdlSZd/WYcZb5Th1rjXg+726cR+uujgjpIFMsMUTtX4XiYiiGYMkk9M6VVspmKlvbMV/bd6Pa/IzseNAPWoamgNuWxrSkaovM0DqkJIYh8Qu8fi4sgYAsOTTvbLnJD7OhjibTVWAJHn8vUqUzh0ZsirQwRRPZNkAIoo1HG4zMa1TtQPNXAI6eodqXOdU78Oij7/EnP+uCLrmkpWcbWnHqbOegY/SOdE6JFbX2IIdB+oV88mMqAIt5Zc5vYYDpZIP/oJvlg0goljCniST0jNVW+3MpZMaqmd/ftiFzw+7NO17LFI6J3qGxGpPN+HWAT1CWgVaS/FElg0goljFIMmktEzVlpaOUNtrcfiU+p4kUk/unATKAZIjBVahrgKtdtkRPd9FIiIrYJBkUnqmaqvttXiv4qiufSJ1Op+TzjlAauR65RqZYf00lg0goljFnCST0jPDqb6xxWdpkc46FqtN0DTcRtp5nzspByhQSQAbzLniPMsGEFGsYpBkUoEqZtvg2etQUlmNGSvKEagI848G9DB0P8mTtLaat3GFudj08AisnD4UPx3WG2lJnp24uX6SpiNN63eRiMgqONxmUmqmat9xzSX44IujyEq1Y/5q/1P0bQCmXdcLeV2TQ7bPBPz0unzFniBp6KyoTzf8dnyBT64RAJTurTNdDaJgygYQEUUzmxCC5W/8aGhogMPhgMvlQnp6eti3L1ebJiMlAQLwmYaulveFjozRNSUBO347WlewEA01iKJhH4mIJEZcvxkkBRDpIAnwrHK87/gZvPDJvyOyH+TfKzqHy5QKgEqhlpmG4Vhxm4iihRHXb+YkRQFpmCYhLg5/Xs8AKdJsXjFBriNJd4CktgBoW6BkszCRvou3DuiBIq+lWIiIrIY5SVGipLIa961QN42cQksI4PHxVyIrzR50bwprEBERmReDpCgg9TaEgr1LHJrPt4fkva0sK82OWw2YKcgaRERE5sXhtigQqLchGAyQ9DGqJhBrEBERmReDpCigpRfBmW7HW78Yghk39gnhHkUfozJnjK4JxBpERETmxSApCmjpRZg/6fsYdlkWZo+5Al1TEkK4V9HFiLTnUNQEkmoQdX7/UG6PiIjUY5AUBQL1NgBAnA14ecrV7hlW8XE2LLqtX3h20KK6JnsGmc4QVcWWli1xei1bEqrtERGROqyTFIAZ6iQBF2rpAPK9Ii9PGYhb+vteTEsqqzF/dRVqGpj4q9VbvxiCOJstbDWBWIOIiMg4LCYZBmYJkgD9FY9bzrdj6MJPLL2wrQ3AuMIcfFx5zJD3cjqSsOnhEQxSiIiilBHXb5YAiCLjCnMxusCpubdhx4F6SwdIADBr1OW4Nj8z6CCJeUBERCRhkBRlpIrHWsRCjZ3eWSnu3K0aV5PskKQNgCMlAUld4hWHH51ci4yIiL7DICkGxEKNnf0nzqparX7Rbf08euOyUu2ADThxppl5QERE5IFBUpTSkuQbqIfFClZtP4iZIy5zzxTzzt3y7iHiEh9ERBQIg6Qo09YusGT9HryxeT9OnWt1P+4vgdtfD4tVdF7fTG/uFhERUWcMkqJISWU1HnlnF06dbfV5rsbVhHuXlyvW1VHqYbGSzrlXenK3jMBp/ERE1sEgKUpIdZKUeoEEOvJuFrxfhdEFTtkLc+celiXr92Dz3rpQ7nLYRTr3Sm+JBiIiMidW3I4Cbe0CC96vCjhMJnBh2EmJ1MNy29XBr2AfTnE25fXXzLC+mRTEevfSST18JZXVEdozIiLSi0FShLS1C5TurcN7FUdQurcObe3KIdC2fSc1DZGpmfKfl5Gi+v3MYPoP8gGYc30zf0Gs9NiC96v8nmMiIjIfDrdFgNZhGa11jtQMO0kz3syenxRnA5ZM7lhy5epLMgLOWouEQEFs5x4+zqojIooeDJLCTCm3yF/itZZcG7XDTp1nvJm5f2PJ5Kvda9KZddaa2iA2Fop6EhFZCYfbwkjvsIzU66MmFNAy7CTNeMt1hCfh+aFRl+PlKb7b65qSgK4pCR6P5TqS8MqdA3FL/zyPx6WcqlsH9EBRn24RD5AA9UFspBPLiYhIG/YkhZHeYRk1dY66piRg0W39NA87de6dqWlowuP/3IUzzW2a3sNbnA3oHOd5DyWOLfTtDQJguh4itdQsh+KMcGI5ERFpxyApjIIZllGqc9Q1JQE/vS4fM0dcpjuo6FxTKDkhDvcsL1dsO7G/E6MKnMi6yA4I4ERjs8/SHoN6ZWDHgXrFgEephlG05uuoWQ6FC+YSEUUfBklhFOywTDhycsYV5uLuG/Lx6sZ9ss9/8EUNxvfPw7DLsvy+T7QGPHqpXQ6FiIiiB4OkMDJiWCbUlaTb2gVWf+6/po+/gpWhZuaK1mZNLCciIn0YJIVRNAzLmHk6ezRUtI7UcihERGQ8zm4LM2lYxuk1w8vpSFJcdy2czDqdnRWtiYgo3NiTFAFmHpYx43T2QKUTAq1ZR0REpAeDpAgx67CMGaezm3kIkIiIrIvDbeRBypsCzLNOmlmHAImIyNoYJJEPs+VNmXEIkIiIrI/DbSTLTHlTZhwCJCIi62OQRIrMkjcVDaUTiIjIejjcRlHBbEOARERkfexJoqhhpiFAIiKyPgZJFFXMMgRIRETWx+E2IiIiIhkxESS9/PLLyM/PR1JSEgYNGoR//etfkd4lIiIiMjnLB0n/+Mc/MGvWLDz22GPYuXMnfvCDH+Dmm2/GwYMHI71rREREZGI2IYRc6RnLGDJkCAYOHIilS5e6H7vyyivxwx/+EAsXLgz4+oaGBjgcDrhcLqSnp4dyV4mIiMggRly/Ld2T1NLSgh07dmDMmDEej48ZMwZbtmyRfU1zczMaGho8/hEREVHssXSQdOLECbS1tSEnJ8fj8ZycHNTU1Mi+ZuHChXA4HO5/PXv2DMeuEhERkclYOkiS2GyedXSEED6PSebOnQuXy+X+d+jQoXDsIhEREZmMpeskZWVlIT4+3qfXqLa21qd3SWK322G328Oxe0RERGRilu5JSkxMxKBBg7B27VqPx9euXYvrrrsuQntFRERE0cDSPUkAMHv2bBQXF2Pw4MEoKirCa6+9hoMHD+Kee+5R9Xpp8h8TuImIiKKHdN0OZhK/5YOk22+/HXV1dXjiiSdQXV2NwsJCfPTRR+jVq5eq158+fRoAmMBNREQUhU6fPg2Hw6HrtZavkxSs9vZ2HD16FGlpaYrJ3sFoaGhAz549cejQIUvXYeJxWkcsHCMQG8cZC8cIxMZxxsIxAtqOUwiB06dPIy8vD3Fx+rKLLN+TFKy4uDhcfPHFId9Oenq6pb/YEh6ndcTCMQKxcZyxcIxAbBxnLBwjoP449fYgSSyduE1ERESkF4MkIiIiIhkMkiLMbrdj3rx5lq/NxOO0jlg4RiA2jjMWjhGIjeOMhWMEwn+cTNwmIiIiksGeJCIiIiIZDJKIiIiIZDBIIiIiIpLBIImIiIhIBoOkEJg/fz5sNpvHP6fT6X5eCIH58+cjLy8PycnJuPHGG7F7926P92hubsb999+PrKwspKamYtKkSTh8+HC4D8XDxo0bMXHiROTl5cFms+Gf//ynx/NGHVd9fT2Ki4vhcDjgcDhQXFyMU6dOhfjoOgQ6xmnTpvmc26FDh3q0MfsxLly4ENdccw3S0tKQnZ2NH/7wh/j666892ljhXKo5Tiucz6VLl6J///7u4npFRUX4+OOP3c9b4VwGOkYrnEdvCxcuhM1mw6xZs9yPWeFcepM7TlOdT0GGmzdvnvj+978vqqur3f9qa2vdzy9atEikpaWJt99+W+zatUvcfvvtIjc3VzQ0NLjb3HPPPaJHjx5i7dq1ory8XNx0003iqquuEufPn4/EIQkhhPjoo4/EY489Jt5++20BQLz77rsezxt1XOPGjROFhYViy5YtYsuWLaKwsFBMmDDBFMd41113iXHjxnmc27q6Oo82Zj/GsWPHijfeeENUVlaKiooKMX78eHHJJZeIM2fOuNtY4VyqOU4rnM/Vq1eLDz/8UHz99dfi66+/Fo8++qhISEgQlZWVQghrnMtAx2iF89jZtm3bRO/evUX//v3Fgw8+6H7cCueyM6XjNNP5ZJAUAvPmzRNXXXWV7HPt7e3C6XSKRYsWuR9ramoSDodDvPLKK0IIIU6dOiUSEhLEqlWr3G2OHDki4uLiRElJSUj3XS3vAMKo46qqqhIARFlZmbtNaWmpACC++uqrEB+VJ6Ug6dZbb1V8TbQdoxBC1NbWCgBiw4YNQghrnkshfI9TCGueTyGEyMjIEH/5y18sey6FuHCMQljrPJ4+fVr07dtXrF27VgwfPtwdPFjtXCodpxDmOp8cbguRPXv2IC8vD/n5+bjjjjvw7bffAgD27duHmpoajBkzxt3Wbrdj+PDh2LJlCwBgx44daG1t9WiTl5eHwsJCdxuzMeq4SktL4XA4MGTIEHeboUOHwuFwmObYP/vsM2RnZ+Pyyy/H9OnTUVtb634uGo/R5XIBADIzMwFY91x6H6fESuezra0Nq1atQmNjI4qKiix5Lr2PUWKV8zhjxgyMHz8eo0aN8njcaudS6TglZjmfXOA2BIYMGYK//e1vuPzyy3Hs2DE89dRTuO6667B7927U1NQAAHJycjxek5OTgwMHDgAAampqkJiYiIyMDJ820uvNxqjjqqmpQXZ2ts/7Z2dnm+LYb775Zvz4xz9Gr169sG/fPjz++OMYMWIEduzYAbvdHnXHKITA7Nmzcf3116OwsNC9f4C1zqXccQLWOZ+7du1CUVERmpqacNFFF+Hdd99FQUGB+2JghXOpdIyAdc7jqlWrUF5eju3bt/s8Z6W/S3/HCZjrfDJICoGbb77Z/d/9+vVDUVER+vTpg7/+9a/u5DObzebxGiGEz2Pe1LSJNCOOS669WY799ttvd/93YWEhBg8ejF69euHDDz/Ebbfdpvg6sx7jzJkz8cUXX2DTpk0+z1npXCodp1XO5xVXXIGKigqcOnUKb7/9Nu666y5s2LBBcf+i8VwqHWNBQYElzuOhQ4fw4IMPYs2aNUhKSlJsF+3nUs1xmul8crgtDFJTU9GvXz/s2bPHPcvNO5Ktra113yE4nU60tLSgvr5esY3ZGHVcTqcTx44d83n/48ePm/LYc3Nz0atXL+zZswdAdB3j/fffj9WrV+PTTz/FxRdf7H7caudS6TjlROv5TExMxGWXXYbBgwdj4cKFuOqqq/CnP/3JUudS6RjlRON53LFjB2prazFo0CB06dIFXbp0wYYNG/DnP/8ZXbp0ce9DtJ/LQMfZ1tbm85pInk8GSWHQ3NyML7/8Erm5ucjPz4fT6cTatWvdz7e0tGDDhg247rrrAACDBg1CQkKCR5vq6mpUVla625iNUcdVVFQEl8uFbdu2udts3boVLpfLlMdeV1eHQ4cOITc3F0B0HKMQAjNnzsQ777yD9evXIz8/3+N5q5zLQMcpJxrPpxwhBJqbmy1zLuVIxygnGs/jyJEjsWvXLlRUVLj/DR48GFOnTkVFRQUuvfRSS5zLQMcZHx/v85qInk/VKd6k2pw5c8Rnn30mvv32W1FWViYmTJgg0tLSxP79+4UQHdM4HQ6HeOedd8SuXbvE5MmTZadxXnzxxWLdunWivLxcjBgxIuIlAE6fPi127twpdu7cKQCI5557TuzcuVMcOHBACGHccY0bN070799flJaWitLSUtGvX7+wTU/1d4ynT58Wc+bMEVu2bBH79u0Tn376qSgqKhI9evSIqmO89957hcPhEJ999pnHFNuzZ8+621jhXAY6Tqucz7lz54qNGzeKffv2iS+++EI8+uijIi4uTqxZs0YIYY1z6e8YrXIe5XjP+rLCuZTT+TjNdj4ZJIWAVLsiISFB5OXlidtuu03s3r3b/Xx7e7uYN2+ecDqdwm63ixtuuEHs2rXL4z3OnTsnZs6cKTIzM0VycrKYMGGCOHjwYLgPxcOnn34qAPj8u+uuu4QQxh1XXV2dmDp1qkhLSxNpaWli6tSpor6+PuLHePbsWTFmzBjRvXt3kZCQIC655BJx1113+ey/2Y9R7vgAiDfeeMPdxgrnMtBxWuV8/uxnPxO9evUSiYmJonv37mLkyJHuAEkIa5xLf8dolfMoxztIssK5lNP5OM12Pm1CCKG+34mIiIgoNjAniYiIiEgGgyQiIiIiGQySiIiIiGQwSCIiIiKSwSCJiIiISAaDJCIiIiIZDJKIiIiIZDBIIiIiIpLBIImIiIhIBoMkIiIiIhkMkoiIiIhkMEgiIiIikvH/A7Jre9H80sf+AAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot the relationship between x and y\n",
-    "plt.scatter(sacramento[\"sq__ft\"], sacramento[\"price\"], label='House size vs House price')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# model(response_variable ~ predictor, data).fit()\n",
-    "model = smf.ols(\"price ~ sq__ft\", data = sacramento).fit()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                            OLS Regression Results                            \n",
-      "==============================================================================\n",
-      "Dep. Variable:                  price   R-squared:                       0.531\n",
-      "Model:                            OLS   Adj. R-squared:                  0.530\n",
-      "Method:                 Least Squares   F-statistic:                     917.9\n",
-      "Date:                Thu, 29 May 2025   Prob (F-statistic):          1.88e-135\n",
-      "Time:                        19:19:50   Log-Likelihood:                -10351.\n",
-      "No. Observations:                 813   AIC:                         2.071e+04\n",
-      "Df Residuals:                     811   BIC:                         2.072e+04\n",
-      "Df Model:                           1                                         \n",
-      "Covariance Type:            nonrobust                                         \n",
-      "==============================================================================\n",
-      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
-      "------------------------------------------------------------------------------\n",
-      "Intercept    1.62e+04   7611.940      2.128      0.034    1254.119    3.11e+04\n",
-      "sq__ft       134.6408      4.444     30.297      0.000     125.918     143.364\n",
-      "==============================================================================\n",
-      "Omnibus:                      305.482   Durbin-Watson:                   1.939\n",
-      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1623.560\n",
-      "Skew:                           1.628   Prob(JB):                         0.00\n",
-      "Kurtosis:                       9.109   Cond. No.                     4.53e+03\n",
-      "==============================================================================\n",
-      "\n",
-      "Notes:\n",
-      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
-      "[2] The condition number is large, 4.53e+03. This might indicate that there are\n",
-      "strong multicollinearity or other numerical problems.\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(model.summary())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Residual plots\n",
-    "fitted = model.fittedvalues\n",
-    "residuals = model.resid\n",
-    "\n",
-    "\n",
-    "# Homoscedasticity: Residuals vs. Fitted\n",
-    "plt.scatter(fitted, residuals)\n",
-    "plt.axhline(0, color='red', linestyle='--')\n",
-    "plt.xlabel('Fitted Values')\n",
-    "plt.ylabel('Residuals')\n",
-    "plt.title('Residuals vs Fitted')\n",
-    "plt.show()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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kJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJQxiRERERFrCIEZERESkJTobxNauXQuJRIIlS5aIxwRBwKpVq+Dk5AQTExMMHDgQ165dU3ldUVER3nrrLdjY2MDMzAxjx45FcnKyypisrCzMmDEDMpkMMpkMM2bMQHZ2tsqYpKQkBAQEwMzMDDY2Nli0aBGKi4tVxly9ehV+fn4wMTFBixYt8PHHH0MQBI1+DkRERKS7dDKIRURE4LvvvkPXrl1Vjq9fvx4bN27E119/jYiICDg4OGDYsGHIy8sTxyxZsgT79u1DUFAQwsLC8PjxY4wZMwZyuVwcM23aNERHR+Po0aM4evQooqOjMWPGDPG8XC7H6NGjkZ+fj7CwMAQFBWHPnj1YtmyZOCY3NxfDhg2Dk5MTIiIisHnzZmzYsAEbN26sx0+GiIiIdIqgY/Ly8oT27dsLISEhgp+fn7B48WJBEARBoVAIDg4Owrp168SxhYWFgkwmE7799ltBEAQhOztbMDQ0FIKCgsQx9+/fF/T09ISjR48KgiAIsbGxAgDh3Llz4pjw8HABgBAfHy8IgiAcPnxY0NPTE+7fvy+O2bVrlyCVSoWcnBxBEARhy5YtgkwmEwoLC8Uxa9euFZycnASFQlGjnzUnJ0cAIF6TiIiIGj51fn/r3IzYggULMHr0aAwdOlTleGJiItLS0uDv7y8ek0ql8PPzw9mzZwEAkZGRKCkpURnj5OQEDw8PcUx4eDhkMhn69Okjjunbty9kMpnKGA8PDzg5OYljhg8fjqKiIkRGRopj/Pz8IJVKVcakpKTgzp07lf5sRUVFyM3NVfkiIiKiupMrBITfeoT90fcRfusR5IqGsVTIQNsFqCMoKAhRUVGIiIiocC4tLQ0AYG9vr3Lc3t4ed+/eFccYGRmhefPmFcaUvT4tLQ12dnYVrm9nZ6cy5tn3ad68OYyMjFTGuLi4VHifsnOurq4V3mPt2rVYvXp15T88ERERqZArBFxIzER6XiHszI3R29UK+nqSCuOOxqRidXAsUnMKxWOOMmOsDHDHCA/HF1lyBToTxO7du4fFixfj2LFjMDY2rnKcRKL6ByAIQoVjz3p2TGXjNTFG+GuhflX1rFixAkuXLhW/z83NhbOzc7W1ExERNUU1DVdHY1Ixf2cUnp3/SsspxPydUdg6vadWw5jO3JqMjIxEeno6PD09YWBgAAMDA5w6dQpfffUVDAwMVGabnpaeni6ec3BwQHFxMbKysqod8+DBgwrv//DhQ5Uxz75PVlYWSkpKqh2Tnp4OoOKsXRmpVAoLCwuVLyIiIlJVFq6eDmFAebg6GpMKQDljtjo4tkIIAyAeWx0cq9XblDoTxIYMGYKrV68iOjpa/PLy8sIrr7yC6OhotGnTBg4ODggJCRFfU1xcjFOnTqFfv34AAE9PTxgaGqqMSU1NRUxMjDjG29sbOTk5uHDhgjjm/PnzyMnJURkTExOD1NRUccyxY8cglUrh6ekpjgkNDVVpaXHs2DE4OTlVuGVJRERENaNOuLqQmFkhrD07PjWnEBcSM+uj1BrRmVuT5ubm8PDwUDlmZmYGa2tr8fiSJUuwZs0atG/fHu3bt8eaNWtgamqKadOmAQBkMhlee+01LFu2DNbW1rCyssI777yDLl26iIv/3dzcMGLECMydOxfbtm0DALz++usYM2YMOnbsCADw9/eHu7s7ZsyYgc8//xyZmZl45513MHfuXHEWa9q0aVi9ejVmz56NDz74AAkJCVizZg0++uij594qJSIiosqpE67S86oe97SajqsPOhPEamL58uUoKCjAm2++iaysLPTp0wfHjh2Dubm5OObLL7+EgYEBJk+ejIKCAgwZMgQ7duyAvr6+OObHH3/EokWLxKcrx44di6+//lo8r6+vj0OHDuHNN99E//79YWJigmnTpmHDhg3iGJlMhpCQECxYsABeXl5o3rw5li5dqrIGjIiIiNSjTriyM696TfnTajquPkgEga3eG6rc3FzIZDLk5ORwvRgRERGA8FuPMPVf5547btfcvujtaoUBn/2JtJzCSm9lSgA4yIwR9t7gSp+2rC11fn/rzBoxIiIiot6uVnCUGaOq2CSB8unJslYWKwPcxePPjgOAlQHuGg1h6mIQIyIiIp2hbrga4eGIrdN7wkGmevvRQWas9dYVAG9NNmi8NUlERFQ5dZu01rT5qyao8/ubQawBYxAjIiKq2osMV+pQ5/d3o3pqkoiIiJoOfT0JvNtaa7uMOuEaMSIiIiItYRAjIiIi0hIGMSIiIiItYRAjIiIi0hIu1iciIqIGqaE+FalJDGJERESkVZUFrpDYNLX6hOkqBjEiIiLSmsoas1qaGiL7SUmFsWk5hZi/M6pBdMTXFK4RIyIiIq04GpOK+TujVEIYgEpDGABx4+7VwbGQKxpHP3oGMSIiInrh5AoBq4NjoW6cEgCk5hTiQmJmfZT1wjGIERER0Qt3ITGzwkyYOtLzav/ahoRBjIiIiF64ugYpO3NjDVWiXVysT0RERC9M2ROSCQ/yavV6CQAHmfLJysaAQYyIiIheiMqekFRHWQexlQHujaafmNq3JqOionD16lXx+/3792P8+PH44IMPUFxcrNHiiIiIqHGo6gnJypRFLEtTQ5XjDjLjRtW6AqjFjNgbb7yB999/H126dMHt27cRGBiICRMm4JdffsGTJ0+wadOmeiiTiIiIdJW6T0g6/NW4dZi7AzvrP+vGjRvo3r07AOCXX36Br68vfvrpJ5w5cwaBgYEMYkRERKSipk9ILhzUDv3b2agELu+21vVdnlapfWtSEAQoFAoAwB9//IFRo0YBAJydnZGRkaHZ6oiIiEjn1fQJyfb2zeDd1rrRzXpVR+0g5uXlhX/84x/43//+h1OnTmH06NEAgMTERNjb22u8QCIiItJtNW010VhaUqhD7SC2adMmREVFYeHChfjwww/Rrl07AMCvv/6Kfv36abxAIiIi0m29Xa3gKDNGVfNcEig39G4sLSnUIREEQSObNRUWFkJfXx+GhobPH0w1kpubC5lMhpycHFhYWGi7HCIiIrWV9Q0LiU3Df8/cgQRQWbRfFs4a09OQ6vz+rlUfsezsbPz666+4desW3n33XVhZWSE2Nhb29vZo0aJFrYomIiKixqWyvmESCfD0FFDZE5KNJYSpS+0gduXKFQwZMgSWlpa4c+cO5s6dCysrK+zbtw93797FDz/8UB91EhERkQ4p6xv27G03xV8HXuvvgqHuDo2yJYU61F4jtnTpUrz66qtISEiAsXH5orqRI0ciNDRUo8URERGR7nle3zAJgMMxaU0+hAG1CGIRERF44403Khxv0aIF0tLSNFIUERER6a7n9Q0TAKTmFOJCYuaLK6qBUjuIGRsbIzc3t8Lx69evw9bWViNFERERke6qad+wmo5rzNQOYuPGjcPHH3+MkpISAIBEIkFSUhLef/99vPzyyxovkIiIiHQL+4bVnNpBbMOGDXj48CHs7OxQUFAAPz8/tGvXDubm5vj000/ro0YiIiLSIewbVnNqPzVpYWGBsLAw/Pnnn4iKioJCoUDPnj0xdOjQ+qiPiIiIdIy+ngQrA9wxf2dUlX3DVga4N/mF+oAGG7qS5rGhKxER6bLK+og5NoG+YRpv6PrVV1/V+M0XLVpU47FERETUeI3wcMQwdwdcSMxEel4h7MyN2bLiGTWaEXN1da3ZxSQS3L59u85FkRJnxIiIiHSPxmfEEhMTNVIYEREREZWr1V6TRERERJUp2+SbtyJrpkZBbOnSpfjkk09gZmaGpUuXVjt248aNGimMiIiIdEtTXZxfFzUKYpcuXRIbuF66dKleCyIiIiLdUTYDFhKbhv+euVPhfFpOIebvjMLW6T0ZxirB9hUNGBfrExFRQ1bZDFhlJAAcZMYIe29wk7hNqc7vb7U768+ZMwd5eXkVjufn52POnDnqXo6IiIh0jFwh4J9/JGDezqjnhjCAm3xXR+0g9v3336OgoKDC8YKCAvzwww8aKYqIiIgapqMxqei/7ji+/OOG2q/lJt8V1fipydzcXAiCAEEQkJeXB2Pj8o065XI5Dh8+DDs7u3opkoiIiLSjbA1YWk4BztzMwK9R92t9LW7yXVGNg5ilpSUkEgkkEgk6dOhQ4bxEIsHq1as1WhwRERFpT03XgD1P2RoxbvJdUY2D2IkTJyAIAgYPHow9e/bAyqr8wzQyMkLr1q3h5ORUL0USERFR/dPk7FcZbvJdvRoHMT8/PwDKLvvOzs7Q01N7eRkRERE1UJqa/XqWA/uIVUvtzvqtW7dGdnY2Lly4gPT0dCgUCpXzM2fO1FhxREREVP+OxqRi/s4oaLKf1Wv9XTDU3YGd9Z9D7SAWHByMV155Bfn5+TA3N4dEUv7hSiQSBjEiIiIdIlcIWHUgVmMhjJ301aN2EFu2bBnmzJmDNWvWwNTUtD5qIiIionpWth7sh/BEpOVq5nbk20PbY+Hg9pwBU4PaQez+/ftYtGgRQxgREZGO0vR6MM6C1Z7aQWz48OG4ePEi2rRpUx/1EBERUT06fCUVb/4UpbHrcRasbtQOYqNHj8a7776L2NhYdOnSBYaGhirnx44dq7HiiIiISHMOX0nBwl2XNHItzoJphtqbflfXtkIikUAul9e5KFLipt9ERKQpR2NSMW9n3WbCJvZsgf7tbeFgYcynIauhzu9vtWfEnm1XQURERA2bXCFgdXBsrV/P2a/6o3YQIyIiIt1yITGzVgvzZSYG2PKKJ/q2sebsVz2pVRDLz8/HqVOnkJSUhOLiYpVzixYt0khhREREpBnpeeqFsLLI9dnLXdG/nY3mCyKR2kHs0qVLGDVqFJ48eYL8/HxYWVkhIyMDpqamsLOzYxAjIiJqYOzMjdUaz22JXhy1g9jbb7+NgIAAbN26FZaWljh37hwMDQ0xffp0LF68uD5qJCIiojro7WoFR5kx0nIKq+ygLwEwu58L/DtzW6IXSe2du6Ojo7Fs2TLo6+tDX18fRUVFcHZ2xvr16/HBBx/UR41ERERUB/p6EqwMcK92zDfTemDl2M7wbsv1YC+S2kHM0NBQ3F/S3t4eSUlJAACZTCb+MxERETU8MlPDCseamxri2+k9MaqrkxYqIrVvTfbo0QMXL15Ehw4dMGjQIHz00UfIyMjA//73P3Tp0qU+aiQiIqI6qK6bftaTkhdcDT1N7RmxNWvWwNFRuXjvk08+gbW1NebPn4/09HR89913Gi+QiIiIak/ZTb/qRq4SAKuDYyFXqNXfnTRE7RkxLy8v8Z9tbW1x+PBhjRZEREREmnE0JhVv/lT9lkYCgNScQlxIzIR3W+sXUxiJ1J4RIyIiooZP3W766vYaI81Qe0bM1dVVXKxfmdu3b9epICIiIqo7dbvpq9trjDRD7SC2ZMkSle9LSkpw6dIlHD16FO+++66m6iIiIqJakisEnLmZUePxjjLlJt704qkdxKpq2vrNN9/g4sWLdS6IiIiIau9oTCpWB8eqNRu2MsCdvcO0RGNrxEaOHIk9e/Zo6nJERESkpqMxqZi/M6rGIUxPAmyZ1pNbGWmRxoLYr7/+CisrTmsSERFpg1wh4P29V6vcwqgyX0/tgVFdGcK0Se0g1qNHD/Ts2VP86tGjBxwdHfHBBx/U6xZHa9euRa9evWBubg47OzuMHz8e169fVxkjCAJWrVoFJycnmJiYYODAgbh27ZrKmKKiIrz11luwsbGBmZkZxo4di+TkZJUxWVlZmDFjBmQyGWQyGWbMmIHs7GyVMUlJSQgICICZmRlsbGywaNEiFBcXq4y5evUq/Pz8YGJighYtWuDjjz+GILBPCxERad7m4wnIVqM569tDO7CbfgOg9hqx8ePHq3yvp6cHW1tbDBw4EJ06ddJUXRWcOnUKCxYsQK9evVBaWooPP/wQ/v7+iI2NhZmZGQBg/fr12LhxI3bs2IEOHTrgH//4B4YNG4br16/D3NwcgPJhg+DgYAQFBcHa2hrLli3DmDFjEBkZCX19fQDAtGnTkJycjKNHjwIAXn/9dcyYMQPBwcEAALlcjtGjR8PW1hZhYWF49OgRZs2aBUEQsHnzZgBAbm4uhg0bhkGDBiEiIgI3btzA7NmzYWZmhmXLltXb50RERE3P4Ssp+OfxBLVe42JjWk/VkDokgo5O0Tx8+BB2dnY4deoUfH19IQgCnJycsGTJErz33nsAlLNf9vb2+Oyzz/DGG28gJycHtra2+N///ocpU6YAAFJSUuDs7IzDhw9j+PDhiIuLg7u7O86dO4c+ffoAAM6dOwdvb2/Ex8ejY8eOOHLkCMaMGYN79+7ByUn5fxNBQUGYPXs20tPTYWFhga1bt2LFihV48OABpFIpAGDdunXYvHkzkpOTq20BUiY3NxcymQw5OTmwsLCoj4+RiIh03NGYVMzbWXXn/KrsmtuXDVzriTq/v9W+NXn//n189dVXWLhwIZYuXYpt27YhKyur1sXWVk5ODgCI69ISExORlpYGf39/cYxUKoWfnx/Onj0LAIiMjERJSYnKGCcnJ3h4eIhjwsPDIZPJxBAGAH379oVMJlMZ4+HhIYYwABg+fDiKiooQGRkpjvHz8xNDWNmYlJQU3LlzR5MfBRERNVHqNm0FlFsasV1Fw6HWrcktW7Zg6dKlKC4uhkwmgyAIyM3NxdKlS/Hvf/8bU6dOhSAIiI6ORo8ePeqrZgiCgKVLl2LAgAHw8PAAAKSlpQEA7O3tVcba29vj7t274hgjIyM0b968wpiy16elpcHOzq7Ce9rZ2amMefZ9mjdvDiMjI5UxLi4uFd6n7Jyrq2uF9ygqKkJRUZH4fW5ubjWfAhERNXXqNm0tw3YVDUeNZ8QOHTqERYsWYeHChbh//z6ysrKQnZ2N+/fv44033sCsWbMQFhaGV155RVxLVV8WLlyIK1euYNeuXRXOPXvLTxCE594GfHZMZeM1MabsLnBV9axdu1Z8QEAmk8HZ2bnauomIqGk7di1NrfGOMmNsnc52FQ1JjYPY+vXr8f7772PDhg1wdCz/A3R0dMTGjRuxfPlyDBs2DOHh4Zg1a1a9FAsAb731Fg4cOIATJ06gZcuW4nEHBwcA5TNjZdLT08WZKAcHBxQXF1e4lfrsmAcPHlR434cPH6qMefZ9srKyUFJSUu2Y9PR0ABVn7cqsWLECOTk54te9e/eq+SSIiKgpO3wlBTvO3qnx+LeHtkfYe4MZwupCEIBLl4CbNzV2yRoHsUuXLmHGjBlVnp8xYwaKiopw6tQptG7dWiPFPU0QBCxcuBB79+7Fn3/+WeHWnqurKxwcHBASEiIeKy4uxqlTp9CvXz8AgKenJwwNDVXGpKamIiYmRhzj7e2NnJwcXLhwQRxz/vx55OTkqIyJiYlBamqqOObYsWOQSqXw9PQUx4SGhqq0tDh27BicnJwq3LIsI5VKYWFhofJFRET0rKMxqXjzp0s16hlW1rR18dAOvB1ZW3FxwMqVQKdOQM+ewMaNGrt0jdeIKRQKGBoaVnne0NAQJiYmaNWqlUYKe9aCBQvw008/Yf/+/TA3Nxdnm2QyGUxMTCCRSLBkyRKsWbMG7du3R/v27bFmzRqYmppi2rRp4tjXXnsNy5Ytg7W1NaysrPDOO++gS5cuGDp0KADAzc0NI0aMwNy5c7Ft2zYAyvYVY8aMQceOHQEA/v7+cHd3x4wZM/D5558jMzMT77zzDubOnSuGp2nTpmH16tWYPXs2PvjgAyQkJGDNmjX46KOPavTEJBERUWXUXaA/07s1m7bWxu3bwO7dQFAQcOVK+XFjY0Ch0Njb1DiIde7cGfv378fbb79d6fnffvsNnTt31lhhz9q6dSsAYODAgSrHt2/fjtmzZwMAli9fjoKCArz55pvIyspCnz59cOzYMbGHGAB8+eWXMDAwwOTJk1FQUIAhQ4Zgx44dYg8xAPjxxx+xaNEi8enKsWPH4uuvvxbP6+vr49ChQ3jzzTfRv39/mJiYYNq0adiwYYM4RiaTISQkBAsWLICXlxeaN2+OpUuXYunSpZr+aIiIqAlRd4H+8M4MYTWWnAz8/LMyfEVElB83NARGjACmTAHGjgWeyhV1VeM+Yt9//z3mz5+PDRs24PXXX4eBgTLDlZaWYtu2bXj33XexZcsWMRRR3bGPGBERPWt/9H0sDoqu0VhHmTHC3hvMW5LVSU8Hfv1VGb5Ony4/rqcHDBkCBAYCEyYAz3RcqI46v79rPCM2a9YsXL16FQsXLsSKFSvQtm1bAMCtW7fw+PFjLFq0iCGMiIiontmZG9d4LNtUVCErC9i3Txm+jh9XvdXo46MMXy+/DFTxcJ0mqdVHbMOGDZg4cSJ27dqFhATlVgo+Pj6YOnUq+vbtWy8FEhERUbms/KLnjtGTAF9PZZsKFXl5wIEDyvD1++9AyVP7cvburbztOHky8FRHhhdB7b0m+/bty9BFRESkBXKFgA9+i3nuuK+m9OACfQAoKAAOH1aGr4MHgcKn1tZ17aqc+ZoyBWjTRmslqh3EiIiI6MWRKwScu/UIZ249xPG4B8h+UvLc11ibS587ptEqLgZCQpTh67ffgMePy8916FAevtzdtVbi0xjEiIiIGqijMal4f+/VGoWvp6Xnqb/tkU4rLQVOnlSGr717lWvAyrRuXR6+uncHGlgLKQYxIiKiBuhoTCrm7Yyq1WvVWdCvsxQK4OxZZfj65Rfl049lHB2V670CA4E+fRpc+HoagxgREVEDI1cIeG/PlecPrISlqSF6u1ppuKIGQhCAyEhl+Nq9W9n3q4y1NTBxojJ8+fgAT/UHbchqFcRKS0tx8uRJ3Lp1C9OmTYO5uTlSUlJgYWGBZs2aabpGIiKiJqFsPdjKAzHIKSit1TVe7efauFpWCAIQE6MMX0FByo73ZSwsgJdeUt52HDJE2XhVx6gdxO7evYsRI0YgKSkJRUVFGDZsGMzNzbF+/XoUFhbi22+/rY86iYiIGrXargd7mqWpIRYObqfBqrToxo3yLYZin9rSydRU2d0+MBAYPly55ZAOUzuILV68GF5eXrh8+TKsra3F4xMmTMDf/vY3jRZHRETUFNRlPdjT1r3URbdnw+7eLd9iKOqpz8PICBg1Shm+xowBzMy0V6OGqR3EwsLCcObMGRgZGakcb926Ne7fv6+xwoiIiJqC4lIFlv18uU7X0OkGrqmpysX2QUFAeHj5cX19wN9fedtx/HhAJtNaifVJ7SCmUCggl8srHE9OTlbZXJuIiIiqJlcI2Hw8AZv/TIC8Rrs+V+3rqTrWwDUjQ9lmIihI2XaibNtriQQYOFA58/XSS4CNjTarfCHUDmLDhg3Dpk2b8N133wEAJBIJHj9+jJUrV2LUqFEaL5CIiKixORqTiqU/X8aT4ooTG+pobmqItS910Y2ZsJwcZYPV3buVDVdLn3oYwdtbGb4mTVK2nmhCJIIgqJXDU1JSMGjQIOjr6yMhIQFeXl5ISEiAjY0NQkNDYWdnV1+1Njnq7N5ORES6QRPrwYa722NmPxf0bWPdsNeE5ecrtxYKClJuNVRcXH6uZ8/y/R1dXLRWYn1Q5/e32jNiTk5OiI6Oxq5duxAVFQWFQoHXXnsNr7zyCkxMTGpdNBERUWNXl/5gZd7wdcWKUQ1je55KFRUBR48qw9eBA8CTJ+Xn3NyAqVOVAaxDB+3V2ICoPSNGLw5nxIiIGpe3fopE8JW0Wr22mVQf61/uilFdnTRclQaUlADHjytvO+7bp7wNWaZNG+Vtx8BAwMOjQXe51xSNz4gdOHCgxm8+duzYGo8lIiJqKg5fSal1CFsypD3eGtK+Yd2GlMuB06eVM1+//go8elR+rmVL5axXYCDg6dkkwldt1SiIjR8/vkYXk0gklT5RSURE1JTJFQI+/C2mVq/9OrAHxnRvILNgggCcP68MXz//rGw9UcbOTrnYPjAQ6NcP0NPTXp06pEZBTKFQ1HcdREREjdbm4wnIqkXH/Dd8XbUfwgQBiI4u73J/9275OUtL4OWXleFr4EDAgFtYq4ufGBERUT369FAs/nU6Ua3XGBvqYeOkbtpdDxYXV76/440b5cebNVM2WA0MBIYNU3a9p1qrVRA7fvw4vvzyS8TFxUEikaBTp05YsmQJhg4dqun6iIiIdErZxt2nb6Zj/6UUpOYWqfX6RYPaYfGwDtpZD3b7dvnM15Wnnu40NlZuLRQYqNxqiF0SNEbtIPb111/j7bffxsSJE7F48WIAwLlz5zBq1Chs3LgRCxcu1HiRREREuuDwlVQs33MFj4tKnz+4ErO8W2Hp8I4aruo5kpPLtxi6cKH8uKGhclPtwEDlJtvcPadeqN2+okWLFlixYkWFwPXNN9/g008/RUpKikYLbMrYvoKISHfU5hbks3bN7QvvttYaqqga6enKJx2DgpRPPpbR0wOGDFGGrwkTgObN67+WRqheG7rm5uZixIgRFY77+/vjvffeU/dyREREOk2uELDopygciqlda4oy1mZG6O1qpaGqKpGVpezxFRSk7Pn19IN4Pj7K8PXyy4C9ff3VQBWoHcTGjh2Lffv24d1331U5vn//fgQEBGisMCIiooZMk5t2A8An4zw0vy4sLw8IDlaGr6NHlY1Xy/TqVb6/o7OzZt+XakztIObm5oZPP/0UJ0+ehLe3NwDlGrEzZ85g2bJl+Oqrr8SxixYt0lylREREWiZXCDibkIGv/ryByKRsKDS0N80bvq4Y1VVDm10XFCj3dQwKUu7zWFhYfq5rV2X4mjwZaNtWM+9HdaL2GjFXV9eaXVgiwe3bt2tVFClxjRgRUcMRfDkFS3+ORokmpr/+orE2FcXFQEiIMnz99hvw+HH5ufbty/d3dG/Ae1Q2IvW6RiwxsW4LEYmIiHSJXCFg8rdnEZmUrdHrjvKwx+ZpnrW/HVlaCpw8qWw3sWePcg1YmVatyvd37N6dWww1YGzoSkREVIniUgVW7L2CPVH3NX7tuT4u+HB0Z/VfqFAAZ88qZ75++UX59GMZR0flLccpU4C+fRm+dITaQUwQBPz66684ceIE0tPTK2x/tHfvXo0VR0RE9KLJFQLe+ikKh+v4FGRlanUrUhCAyEhl+Nq9W9n3q4y1NTBxonLmy8cH0NfXeM1Uv9QOYosXL8Z3332HQYMGwd7eHhImbiIiaiQOX0nFW7uiNPIU5NN6u1jircEd0K+dTc1vRcbElG8xdOtW+XELC2WPr8BAZc8vQ0PNFksvlNpBbOfOndi7dy9GjRpVH/UQERFpxdrDsdgWqtl10KZGetg4uTtGeNTwicgbN8q3GIqNfepCpsru9lOmACNGKLccokZB7SAmk8nQpk2b+qiFiIhIKw5fSdF4CBvdxR5fTa3BYvy7d4Gff1aGr6io8uNGRsp9HQMDlfs8mplptD5qGNQOYqtWrcLq1avx3//+Fybc9JOIiHRUWU+wny/eRfDVBxq7rtRAgi8nd69+HVhqavn+juHh5cf19YFhw5Tha/x4QCbTWF3UMKkdxCZNmoRdu3bBzs4OLi4uMHzm3nTU02meiIiogSgLXr9EJiHiThbScougyaVgUn0J5g9si7eGdKh8FuzRI2WbiaAgZduJsjaeEgkwcKDytuPLLwM2Nhqsiho6tYPY7NmzERkZienTp3OxPhER6YT6aMYKAM1NDDG1dyv0b2+Dvm2sKwawnBxg/35l+AoJUfb+KuPtrZz5mjgRcKpjQ1fSWWoHsUOHDuH333/HgAED6qMeIiIijXptRwSOx6c/f6C61x3QGn8f41HxRH6+cmuhoCDgyBGgqKj8XM+eypmvyZMBFxeN10S6R+0g5uzszO12iIioQSu7DblgVyRyC+UavbaZkR4+n/hML7CiIuWm2kFBwIEDwJMn5efc3Mq3GOrQQaO1kO5TO4h98cUXWL58Ob799lu4MM0TEVEDIlcI+GfIDXxz6ibkiuePV4eLlQk+falr+S3IkhLgzz+V4WvfPuVtyDJt2pRvMeThwS73VCW1g9j06dPx5MkTtG3bFqamphUW62dmZmqsOCIiopoKvpyCJbsvaTyAAcCXk7phgmdLQC4HQk8pw9eePUBGRvmgli2VtxwDAwEvL4YvqhG1g9imTZvqoQwiIiL1ld2CfGdPNB7kFtfLe7zarzUmlCQDSzYo+32lppaftLMDJk1Shq9+/QA9vXqpgRovtYPYrFmz6qMOIiKiGisuVeD9PZfxW3QKFBrejggAIAhwT0/EnORzmBh0Rtl0tYylpbLNRGCgsu2Egdq/SolEdfq3p6CgACUlJSrHuJCfiIjqU31sRVSmbcY9jI0LxZj402ib+dTm2s2aAePGKcOXv7+y6z2RBqgdxPLz8/Hee+/h559/xqNHjyqcl8s1+3QKERERoJwFm/7vcFy4k63R6zpnpyEgLhQBcaFwe3in/ISxsXJrocBA5VZD3E2G6oHaQWz58uU4ceIEtmzZgpkzZ+Kbb77B/fv3sW3bNqxbt64+aiQioiaquFSB7Wdu4z+nE5H+WHNrwOzzMjAmPgwv3QhD5+T48hOGhsDw4crwNXYsYG6usfckqozaQSw4OBg//PADBg4ciDlz5sDHxwft2rVD69at8eOPP+KVV16pjzqJiKgJkSsELPwxEkeuaW4PSOv8bIy8fgYB8afR69416JVtcKSnBwwerAxfEyYAVlYae0+i51E7iGVmZsLV1RWAcj1YWbuKAQMGYP78+ZqtjoiImpzDV1Kx8KcoaKILhUXhYwy/cRYBcafR/+5l6AtPXdXHRxm+Xn4ZsLfXwLsRqU/tINamTRvcuXMHrVu3hru7O37++Wf07t0bwcHBsLS0rIcSiYioKdDULJhZ0RMMuXUBAXGh8LsdBSNF+f6OCq9e0JsaqGw54exc15KJ6kztIPbqq6/i8uXL8PPzw4oVKzB69Ghs3rwZpaWl2LhxY33USEREjVhBsRxzf4hA2M2KD4DVlLSkCINuX0RAXCiG3IqAcWn5erL7zu3g+MZs6AUGQq9tW02UTKQxEkEQ6tSB5e7du4iMjETbtm3RrVs3TdVFAHJzcyGTyZCTk8O2IETU6BSXKjDqn6dw8+GT5w+uhKG8BAPuRCMgLhT+CefQrLhAPHe7uROivIdj7NqlMOpaycbcRPVInd/fde5C17p1a7Ru3bqulyEioiaiLm0o9BVy9Em6ioC4UIy8cRaWhY/Fc8kWtjjo5ovEIWPwyaoZaGOor8GqiepHjYPY+fPnkZmZiZEjR4rHfvjhB6xcuRL5+fkYP348Nm/eDKlUWi+FEhGR7iouVeA/Ybfw7cnbyCksff4LniIRFPC8H4eAuFCMij8D2yfZ4rl0s+Y41GkAgt18kdetJw4tGQgjA24zRLqjxkFs1apVGDhwoBjErl69itdeew2zZ8+Gm5sbPv/8czg5OWHVqlX1VSsREemgTw7G4j9hanbCFwR0SbuJgL+63DvllW+unWligSMd+yHYzRcXWnaGQk8fc31c8OHozhqunKj+1TiIRUdH45NPPhG/DwoKQp8+ffCvf/0LAODs7IyVK1cyiBEREQDlIvz+644j80nJ8wf/pcPDOwiIO42AuFC4ZJdvrp1rZIpjHbwR7OaLM627oVTfAGaGelg+pD3mDGjDWTDSWTUOYllZWbB/qs/KqVOnMGLECPH7Xr164d69e5qtjoiIdNKr2y/gxPWHNRrrmnkfY+JCERB3Gh0eJYnHnxhKcbxtbwS7+eJUG08UGSj3d/Rpa43vZvWCiRHXgJHuq3EQs7e3R2JiIpydnVFcXIyoqCisXr1aPJ+XlwdDQ8N6KZKIiBo2uUJA2PWH2HoqAedqsAi/RU46RscrZ766PLglHi/SN8DJNl4IdvPF8ba9UWBkLJ7r4WyBX+cPgL6epD5+BCKtqHEQGzFiBN5//3189tln+O2332BqagofHx/x/JUrV9CW/VmIiJqMsgX4O87cwYO85+8Dafs4C6OuhyEgLhRe9+PE46USPYS59ECwmy+OdeiLPKlZhddyDRg1VjUOYv/4xz/w0ksvwc/PD82aNcP3338PIyMj8fx///tf+Pv710uRRETUcKjTfsKyIBcjr59FQFwo+iZdFfd3VECCc6264KCbD4506IcsU1mlr+/lYokf/+bNNWDUaKnd0DUnJwfNmjWDvr7qvfnMzEw0a9ZMJZxR3bChKxE1FOXtJ24hp1Be7VjzonwMSziHgLhQDLgTDUNF+fhIp04IdvPF4Y79kW5uXenrTQwleHtoR8zu78oARjqpXhu6ymSV/1+LFXerJyJqVOQKAaFx6Vi2JxqZT6rv/WVSXIjBtyIQEB+KQbcuQiovf1Iyxr4tgt18cKiTD5Jl1W+u/dXkbhjbs6VG6ifSBXXurE9ERI1HcakC/zp9E/86dQvZhYpqxxqVlsAvMRIBcaEYevM8TEuKxHMJ1s4IdvPFwU4+uG39/GD11sC2WOLfkQvxqclhECMiIjwuLMXITadwL7uw2nEG8lL0u3sZAXGnMTwhHBZF+eK5u5YOCHbzRbCbL67btAYk1YcqRwsp1r3cFQPa2zKAUZPFIEZE1ESV3XqcvysShaVVLxfWU8jRKzlWub/j9TOwLsgVz6U2s8ZBNx8Eu/niikP754YvANCXAJun9sCork4a+TmIdBmDGBFRE1NcqsC7v0Zjf3Rq1YMEAT1SriMgLhSjr4fB/nGmeOqhqSWOdOyPYDcfXGzpDkFSswX1EgA7Xu3FGTCipzCIERE1Ec+9/SgIcE9PFPd3dM55IJ7KkZr9Fb58ca5VF8j11OtqP6iDFbbP8a5L+USNEoMYEVEjVrb4/suQBJRWsfa+bcY9BMQrtxhqm5ksHn9sZIKQdn0Q7OaL0649UKKv3u4pRvoSvNyzJT4K6MztiIiqwCBGRNTIiG0nfo1GZkHlbSecs9MQEBeKgLhQuD28Ix4vNDDCn39tMXSirRcKDY0rfX1VTA31MK57C4YvohpiECMiakQOX0nFwl1RUFSy9t4+LwNj4pVbDHVPvSEeL9YzQKircouhP9r1Qb7UVO33ndDNCZ9N6sYGrERqYhAjImoEiksVeOXf4Yh4Ztsh6/xsjLx+BgHxp9Hr3jVxiyG5RA9nW3VFsJsvfu/gjRwTc7Xf08rMEBsmdodfRy6+J6otBjEiIh1Utvbrf2cTkZanevvRovAxht84i4C40+h/9zL0hfLFYedbdlbu79ixPzLMmqv9vpYmBpjn1xZzBrTh7BeRBjCIERHpkKpmvkyLCzD05nkExIXC73YUjBTl4SzasT2CO/nicKcBSLWwVfs9rUwN8TefNvibD8MXkaYxiNWzLVu24PPPP0dqaio6d+6MTZs2wcfHR9tlEZGOqSyASUuKMOj2RYyJO40htyJgUlq+xVCcrYu4xVBSc0e136+ZkR6+murJ245E9YxBrB7t3r0bS5YswZYtW9C/f39s27YNI0eORGxsLFq1aqXt8oioAavq1qOhvAQD7kQjIC4U/gnn0Ky4QDx3u7kTgt38EOzmg5s2tfs7xsnCCMffGcwnHoleEIkgCFXva0F10qdPH/Ts2RNbt24Vj7m5uWH8+PFYu3btc1+fm5sLmUyGnJwcWFhY1GepRKRlZS0nPvs9FtfTn+Dpv5j1FHL0Tbqq3GLoxllYFj4WzyVb2OLgX/s7XrNrU6MthirT0d4Mvy3wYQAj0gB1fn9zRqyeFBcXIzIyEu+//77KcX9/f5w9e7bS1xQVFaGoqPzWQm5ubqXjiKhxKAtf/7f/Cu7nFquckwgKeN6Pw5i40xh9PQy2+dniuXSz5jjUaQCC3XwR5dSp1uFLqg+8PawjF94TaRGDWD3JyMiAXC6Hvb29ynF7e3ukpaVV+pq1a9di9erVL6I8ItKix4WlCNx2BjGpj1VPCAK6pN0UtxhyyssQT2WaWOBIx34IdvPFhZadoVBzi6GnOTc3xpHFfmhmzF8BRNrG/wrrmeSZ/1MVBKHCsTIrVqzA0qVLxe9zc3Ph7Oxcr/URUf2TKwScvPYAKw9eRXJOcYXzHR7eQUDcaQTEhcIlu3wj7lwjUxzr4I1gN1+cad0Npfp1+yt7+fCOfPKRqIFhEKsnNjY20NfXrzD7lZ6eXmGWrIxUKoVUKn0R5RFRPXtcWIq3fozA6YRMVLbJkEvmfYyJV4avjhlJ4vEnhlIcb9sbwW6+ONXGE0UGRnWuZXBHa/z31b51vg4RaR6DWD0xMjKCp6cnQkJCMGHCBPF4SEgIxo0bp8XKiKi+lIWvEwmZlZ5vkZOO0X+Fry4PbonHi/QNcPKv/R2Pt+2NAiP19nesChfgEzV8DGL1aOnSpZgxYwa8vLzg7e2N7777DklJSZg3b562SyMiDXjeLUcAsH2chVHXlfs7et2PE4+XSvQQ5qLc3/FYh77Ik5rVuR4JACdLY7zSpzVvQRLpCAaxejRlyhQ8evQIH3/8MVJTU+Hh4YHDhw+jdevW2i6NiOqguFSBd3+Nxv7o1ErPWxbkYsT1swiID0XfpBhxiyEFJDjfygPBbr440qEfskxlGqmnl4sMP/6tH4MXkQ5iH7EGjH3EiBqWqrYXAgDzonwMSziHgLhQDLgTDUOFXDwX6dQJwW6+ONyxP9LNrTVWDwMYUcPEPmJERBr2cfA1/PfMHZVjJsWFGHwrAgHxoRh06yKk8hLxXIx9WwS7+eBQJx8kyyp/QEddvPVI1PgwiBERVaOgWA7PfxzDk2Ll7UWj0hL4JUZiTNxpDL15HmYlheLYm1YtccDdDwc7+eC2dUuNvH8LBi+iRo1BjIjoKU9vNRSf/gQAYCAvhe/dywiIO43hCeGwKMoXx9+1dBA31463dal1l/syegD8Otpi89SebLhK1ATwv3IiavLKNtj+16lbyC5UznzpKeTokxyr3N/x+hlYF5RvOZbazBoH3XwQ7OaLKw7tNRK+JvdyxsqAzmw1QdTEMIgRUZNTUCzHRweu4OiVVOQVP/W8kiCge+oNBMSFYnT8aTg8Lu8HlmEqw+GOAxDs5oOLLd0hSOp2m5AzX0QEMIgRUSMnVwgIu/4QW07ewOXkHBTKnxkgCHBPTxT3d3TOeSCeypGa4UjH/jjYyQfhrbtCXof9HQGguakhhnd24MwXEYkYxIioUZIrBGz8/Tq+OXWr0vNtM+4hID4UAXGn0TYzWTz+2MgEIe36INjNF6dde6BE37DWNUgADOSsFxFVg38zEJHOK1tgv/5YHG6n56Ooiu6IztlpCIgLRUBcKNwe3hGPFxoY4c+/thg60dYLhYa132KItxyJSB38W4KIdFJBsRyrgq/i8OVU5P3VWqIy9nkZGBOv3GKoe+oN8XixngFCXXvgoJsv/mjXB4+lpnWqh/s6ElFtMIgRkU4oW2D/+9U05BZVHbwAwDo/GyNvnEVAXCh63bsGPSinyOQSPZxt1RXBbr74vYM3ckzM61xXWxsTHFkykD2+iKhWGMSIqEEqLlXgP2G38OvFe0jMKED10QuwKHyM4TfOIiDuNPrdvQwDofwV51t2xkE3Hxzp2B8ZZs01VuPXgd0xpnsLjV2PiJoeBjEialAeF5Zi5KZTuJdd+NyxpsUFGHrzPALiQuF3OwpGilLxXLRjewR38sXhTgOQamGr0RoX+LbB0hGdoK9Xt/5hREQMYkSkVU/PfN3OKEAV6+xF0pIiDLwdiYC4UAy5FQGT0iLxXJyti9jlPqm5o8Zq1JMAnRzM8Y5/J/h1tGUAIyKNYRAjohfm6dCVkl2AolI895YjABjKSzDgTjQC4kIxLOEczIsLxHO3mzuJ4SvBtrXGajWT6mPBwHbc45GI6hWDGBHVi7JGqt+G3sTN9DxkFZSitCap6y96Cjn6Jl1VbjF04ywsCx+L55ItbHHQzRfBbr64ZtemzlsMAYChngR2FlJusE1ELxSDGBHVSdks157IZKTnFkIhCJArgILS591krEgiKNDzfrxyi6HrYbDNzxbPpZs1x6FOAxDs5otLTh3rvMWQmZE+ertasd8XEWkV//YhIrWVzXa9v+8KUnOLnv+C6ggCuqTd/Gt/xzC0yHsonso0scDRDv0Q7OaL886doajjFkPs9UVEDQ2DGBE9l1wh4GxCBn6JTML5xEw8yCuu8zU7PLyDgLjTCIgLhUt2qng818gUxzp4I9jNF2dad0Opfu3/muLtRiJq6BjEiEhUXKrA9jO3cfRqKu5m5kOuUIawx9V0rleHS+Z9jIlXhq+OGUni8QIDKf5o1xvBbr441cYTRQZGtbq+lakh/ubThqGLiHQGgxhRE1cWvv5zOhHpj+s+0/Usp9x0jIk7jTHxp9E17aZ4vEjfAKfaeCG4kw+Ot+uNJ0Ymal+7uakhOjmYY55fWwxoz7YSRKR7GMSImpiy4PV7TBquP8hDvoZmu55m+zgLo64r93f0uh8nHi+V6CHMpQeC3XwR0r4Pco2bqXVdU0M99G1jja+4wJ6IGgn+TUbUiMkVAs7deoTTN9NxOSkbcWl5yC4off4La8GyIBcjrp9FQHwo+ibFQP+vLYYUkOB8Kw8Eu/niSId+yDKVqXddE338M7AnZ7yIqFFiECNqJMoW1P8adQ/3Mp8gPa8IKTmFUKjfRaLGmhU9gX9COALiQjHgTjQMFXLxXJRTRwS7+eJQxwFIN7dW67qWJgYY6eGIjwI68wlHImrUGMSIdNTTs10n4h8iIf1xvYauMsYlhRhyMwIB8aEYdOsipPIS8VyMfVsEu/ngUCcfJMvsa3Q9AwlgbsK1XkTUNDGIEekYuULA5uMJ2HrqForUaVVfB0alJfBNjEJAXCiG3jwPs5LyDblvWrXEAXc/HOzkg9vWLau9DkMXEZEqBjGiBk5bM18G8lL0u3sZAXGnMTwhHBZF+eK5u5YOONjJB8Fuvoi3damwxZCxHmBgIIGhvgFszY3wUs+WmDOALSWIiJ7FIEbUAJWFrx/O3cGf8ekokb+A5AXl/o69kmOV+ztePwPrglzxXGozaxx0U4avKw7tK4Qvr1aWWDy0A/q1s+EsFxFRDTGIETUgcoWAf4bcwNbQWy8sfEEQ0D31xl9bDJ2Gw+NM8VSGqQyHOw5AsJsPLrZ0V9nf0dRQDz1aWeJ1X95iJCKqLQYxIi16+knHq/dzkJjxBC8kfgkC3NMTERAXijHxp+Gc80A8lSM1E/d3vOjSFaamRpAa6KOFvh7sLYwxvLMDZvd35W1GIiINYBAjekHKbjeeufUQ97MKkJJdgKh72ZC/mPX2AIC2j+4hIC4UAXGn0TYzWTyeb2iMY+37Ktd8demL2QM74L8MW0RE9Y5BjKielT3l+O2pWyh8QU85Pq1ldhoC/trf0T09UTxeaGCEP9t4IaTLQKQNGIxBPVzwLcMXEdELxSBGpEENYdYLAOzzMjAmXrnFUPfUG+LxYj0DnGvniUve/rCY/BJe8e+KUQxeRERawyBGpAa5QsCFxEyk5RQg43ERMp8UIyWrABKJBAUlcpy68RCFJS9+1gsArJ7kYNT1MwiIC0Wve9eg99dqM7lEDzc794IkMBBt35gBXxtr+GqlQiIiehaDGFENHb6Siv/bH4PM/GJtlyKyKHyM4TeUWwz1u3sZBkJ5CBQGDIAkMBD6Eyeio33NutwTEdGLxSBGVI2yW40bjsXj0r0cbZcDADAtLsDQm+cREBcKv9tRMFI8tYl3r17AlCnA5MmQODtrr0giIqoRBjGiZ5SFr53n7+BE/EOtLLB/lrSkCANvRyIgLhRDbkXApLRIPCd06QJJYKAygLVtq8UqiYhIXQxiRE85GpOK9/deRfaTkucPrmeG8hL0vxONgLhQjLh5HmZFT8pPtm8P/BW+JJ07a69IIiKqEwYxor8cvpKKN3+K0moNego5+iZdVW4xdOMsLAsfl59s1Uo56xUYCPToUWGLISIi0j0MYtSklT0FeTQmBd+HJ2mlBomgQM/78RgbF4qAhDOwyssqP+ngAEyerAxfffoAemw1QUTUmDCIUZMkVwj4+s+b2H4mEdkFL/42pB4ETJQ8wIiYU/A6/wcsHqaWn7SyAiZOVIYvX19AX/+F10dERC8Ggxg1OdpcB+aReRd/f3wVvS+EQHLrVvkJCwtg/Hhl+Bo6FDA0fOG1ERHRi8cgRk3K0ZhUzNv5YtaBSQ0k6NJChu6FGfCL/hM9w4/BLCG+fICJCTB2rDJ8jRgBGBu/kLqIiKjhYBCjJkOuELDqQKzGric1kGBgB1sYG+pDIpHA0dIYVqZS2JhL0epxBnqcOwa9/+wGIiPLX2RkBIwcqQxfY8YAzZpprB4iItI9DGLUqD29JdG+S/eRlltY52uaGenjdd82WDi4PfT1nnpyMS0N+OUXICgIOHu2/Li+vvJ2Y2Cg8vajpWWdayAiosaBQYwajadDV2Z+MZKzC7A/OkUjWxIZG+hhUCc7TO/bGn3bWJcHsEePgL17leHr5ElA8VfzV4kE8PNThq+XXgJsbetcAxERNT4MYqRzygJXel4hbMykgAQ4HvcAv2kodD1r0aB2WDysQ3n4ys0FfvsN2L0bOHYMKH1qi6G+fZXha9IkwMlJ47UQEVHjwiBGOuVoTCpWB8ciNafutxhr4g1fVywd3hF48gQ4eFA583X4MFBUvsUQevRQhq/JkwEXlxdSFxERNQ4MYqQTyvp+ffnHjRfyflZmhlgzsj1GpFwFpv0DOHAAyM8vH9CpEzB1qrLTfceOL6QmIiJqfBjEqEF6+vbjnYwn+On8XTzIK3r+C+vAt70NXupijw7XItAp9DD0hu4DcnLKB7i6Kme+AgOBLl24xRAREdUZgxg1OC/69qNEUGBE5g18k50Avff3ABkZ5SdbtCjf39HLi+GLiIg0ikGMGpSjMamYvzMKQn2/kSCge+oNBMSFYnT8aTg8ziw/Z2urXGwfGAj078/9HYmIqN4wiFGDIVcIWB0cW38hTBDgnp6IMfGhCIg7DeecB+XnLC2VbSYCA4FBgwAD/qdBRET1j79tqMG4kJhZL7cj2z66h4A4Zfhqm5ksHi82NoXBSxOgNzUQ8PdXdr0nIiJ6gRjEqMFIz9NcCGuZnYaA+NMIiAuFe3qieFxuJEX2IH9YzpkBozGjAVNTjb0nERGRuhjEqMGwM6/bptf2eRmYdDscgbfD0fLGFfG4YGAAyfDhQGAg9MeOhbWFRV1LJSIi0ggGMap3T7eisDM3Rm9XKwCocMyzdXNYmRmp1R3/fU8rDIsNg+zAHlhfugCJ8NcKMz09YPBgIDAQkgkTACur+vjRiIiI6oRBjOpVZa0oLE0NAQDZT0qqPVYVi8LHmJx8EfNSI2CzIQyQy8tPDhigXHA/cSJgb6+hn4KIiKh+MIiRxjw785WVX4wFP1VsRVFZ2HpeAHOVKrC8JAHdz/4O+7MnoVfy1KyZl1f5FkPOzhr4SYiIiF4MBjHSiMpmvvQkqFMrCmlJEQbejsTLCacx7PZFSAoKyk926VIevtq1q8O7EBERaQ+DGNVZVU1YFbVIYYbyEvS/E42AuFD4J5yDefFT4atdu/L9HTt3rlPNREREDQGDGNWJJpqw6ink6HMvBgFxoRh5/SyaF+aJ55ItbHGwkw86LZmLgYHDucUQERE1KgxiVCe1bcIqERToeT9eucXQ9TDY5meL59LNmuNQpwEI7uSLSy06QpDoYVfvXgxhRETU6DCIUZ2o1YRVEODx4BYC4kIxJu40WuQ9FE9lGZvjSMf+CHbzxXnnzlDo6QMAJAAcZeUtL4iIiBoTBjGqk5o0YW3/8K5yi6H4ULhmpYrH84xMcKyDN4I7+SLMpTtK9VX/dSyb/1oZ4A59Pc6GERFR48MgRnXS29UKjjJjpOUUqqwTc8m8jzF/bTHUMSNJPF5gIMWpTn3xu4cfDrfojiID5f6OlfURc5AZY2WAO0Z4OL6Qn4WIiOhFYxCjGqusQ76+ngQrA9wxf2cUWuSmY1RcGALiQ9E17Wb56wyNkOM3BLeHjIF81GgM82iFYQAm16DbPmfCiIioMWMQoyoD1tMq6xPmKDPGp942GHE1FFG//4Dm0RfFc6USPVxs1xNmM19Bl4WzYWVpiWdXeXm3ta5QS2XHiIiIGisGsSauqoD19C3BZ/uEWRbkYsT1swiID0XfD2MAQYHmAASJBLm9++HOkDEoHjcBvbw6cEaLiIioGgxiTVhVjVjTcgoxf2cUtk7viWHuDlgdHAuzoicYlnAOAXGh8LlzCYaK8v0drzq7ofPS16E3eTJkTk7o9mJ/DCIiIp3FINZEVdeIVYDyicV1e6Lg8mcqVu74LwbdugipvHwh/TW7Ngh288XBTgOQbOmAXQF94e3E24pERETq0NN2ATVx584dvPbaa3B1dYWJiQnatm2LlStXori4WGVcUlISAgICYGZmBhsbGyxatKjCmKtXr8LPzw8mJiZo0aIFPv74YwiCahw5deoUPD09YWxsjDZt2uDbb7+tUNOePXvg7u4OqVQKd3d37Nu3r8KYLVu2wNXVFcbGxvD09MTp06c18GloRlWNWI1KSzA04Tw2Hfgchz6diE6L52LEjXBI5SW4adUSGwe8gsF/+xajX/0K3/adiGRLBwBq9hMjIiIiADoyIxYfHw+FQoFt27ahXbt2iImJwdy5c5Gfn48NGzYAAORyOUaPHg1bW1uEhYXh0aNHmDVrFgRBwObNmwEAubm5GDZsGAYNGoSIiAjcuHEDs2fPhpmZGZYtWwYASExMxKhRozB37lzs3LkTZ86cwZtvvglbW1u8/PLLAIDw8HBMmTIFn3zyCSZMmIB9+/Zh8uTJCAsLQ58+fQAAu3fvxpIlS7Blyxb0798f27Ztw8iRIxEbG4tWrVpp4VNU9XRw0lfI0e/uZQTEhWLEjXBYFOWL57IdWuJHF28Eu/ki3talyu72NeknRkRERKokwrPTQTri888/x9atW3H79m0AwJEjRzBmzBjcu3cPTk5OAICgoCDMnj0b6enpsLCwwNatW7FixQo8ePAAUqkUALBu3Tps3rwZycnJkEgkeO+993DgwAHExcWJ7zVv3jxcvnwZ4eHhAIApU6YgNzcXR44cEceMGDECzZs3x65duwAAffr0Qc+ePbF161ZxjJubG8aPH4+1a9fW6GfMzc2FTCZDTk4OLCws6vBpVRSe8BCbVv7nr/0dz8C6IFc8l9rMWrnFkJsvlv/fDLyz50qFPmFlJFD2+wp7bzAX5hMREUG93986cWuyMjk5ObCyKm+IEB4eDg8PDzGEAcDw4cNRVFSEyMhIcYyfn58YwsrGpKSk4M6dO+IYf39/lfcaPnw4Ll68iJKSkmrHnD17FgBQXFyMyMjICmP8/f3FMVohCMD588Dbb6PvwO7YvWsFpkcfgXVBLjJMZfihx2hMmrYO/d7cjk+HzEW6Wzf0bWeDlQHuAMo73Zdh53siIqK60Ylbk8+6desWNm/ejC+++EI8lpaWBnt7e5VxzZs3h5GREdLS0sQxLi4uKmPKXpOWlgZXV9dKr2Nvb4/S0lJkZGTA0dGxyjFl75ORkQG5XF7tmMoUFRWhqKhI/D43N7fKsTUmCMCVK0BQkPLrr8ApAVBiLsNel9446OaLs627Qv7U/o5AecAa4eGIrdN7Vmhzwc73REREdaPVILZq1SqsXr262jERERHw8vISv09JScGIESMwadIk/O1vf1MZK6lk/ZIgCCrHnx1TdmdWE2OePVaTMU9bu3btcz+PGouPVwav3buV/1zGzAwYNw4IDIShvz9kCZm4GRwL+XMC1ggPRwxzd2DneyIiIg3SahBbuHAhAgMDqx3z9AxWSkoKBg0aBG9vb3z33Xcq4xwcHHD+/HmVY1lZWSgpKRFnphwcHCrMSKWnpwPAc8cYGBjA2tq62jFl17CxsYG+vn61YyqzYsUKLF26VPw+NzcXzs7OVY6vIDFRGbyCgoDLl8uPS6XAmDFAYCAwahRgaiqeUidg6etJ2PmeiIhIg7QaxGxsbGBjY1Ojsffv38egQYPg6emJ7du3Q09PdXmbt7c3Pv30U6SmpsLRUTmTc+zYMUilUnh6eopjPvjgAxQXF8PIyEgc4+TkJAY+b29vBAcHq1z72LFj8PLygqGhoTgmJCQEb7/9tsqYfv36AQCMjIzg6emJkJAQTJgwQRwTEhKCcePGVfkzSqVSlfVrNZKSAvz8szJ8PR1EDQyA4cOV4WvsWKCaxYIMWERERFoi6ID79+8L7dq1EwYPHiwkJycLqamp4leZ0tJSwcPDQxgyZIgQFRUl/PHHH0LLli2FhQsXimOys7MFe3t7YerUqcLVq1eFvXv3ChYWFsKGDRvEMbdv3xZMTU2Ft99+W4iNjRX+85//CIaGhsKvv/4qjjlz5oygr68vrFu3ToiLixPWrVsnGBgYCOfOnRPHBAUFCYaGhsJ//vMfITY2VliyZIlgZmYm3Llzp8Y/d05OjgBAyMnJqXKM/PPPBUG5EkxQ6OkJiiFDBOFf/xKER49q/D5ERESkOTX5/V1GJ4LY9u3bBSgbvlf4etrdu3eF0aNHCyYmJoKVlZWwcOFCobCwUGXMlStXBB8fH0EqlQoODg7CqlWrBIVCoTLm5MmTQo8ePQQjIyPBxcVF2Lp1a4WafvnlF6Fjx46CoaGh0KlTJ2HPnj0VxnzzzTdC69atBSMjI6Fnz57CqVOn1Pq5n/cHeeRqijB2+U/C+Zbuwv8Nmyd4Lvyf0HfNH8KRqylqvQ8RERFpjjpBTGf7iDUF1fUhqWqfyLKVXVun9+TTjERERFrQJPqINWXP2ycSAFYHx0KuYMYmIiJqyBjEdFBV+0SWEQCk5hTiQmLmiyuKiIiI1MYgpoNqusE2N+ImIiJq2BjEdFBNN9jmRtxEREQNG4OYDurtagVHmXGFvR/LSAA4ypSNWYmIiKjhYhDTQfp6Em7ETURE1AgwiOmoso24HWSqtx8dZMZsXUFERKQjtLrFEdUNN+ImIiLSbQxiOo77RBIREeku3pokIiIi0hIGMSIiIiItYRAjIiIi0hIGMSIiIiItYRAjIiIi0hIGMSIiIiItYRAjIiIi0hIGMSIiIiItYRAjIiIi0hJ21m/ABEEAAOTm5mq5EiIiIqqpst/bZb/Hq8Mg1oDl5eUBAJydnbVcCREREakrLy8PMpms2jESoSZxjbRCoVAgJSUF5ubmkEiev5F3bm4unJ2dce/ePVhYWLyAChsPfna1w8+t9vjZ1R4/u9rjZ1c76n5ugiAgLy8PTk5O0NOrfhUYZ8QaMD09PbRs2VLt11lYWPA/sFriZ1c7/Nxqj59d7fGzqz1+drWjzuf2vJmwMlysT0RERKQlDGJEREREWsIg1ohIpVKsXLkSUqlU26XoHH52tcPPrfb42dUeP7va42dXO/X5uXGxPhEREZGWcEaMiIiISEsYxIiIiIi0hEGMiIiISEsYxIiIiIi0hEGskRo7dixatWoFY2NjODo6YsaMGUhJSdF2WQ3enTt38Nprr8HV1RUmJiZo27YtVq5cieLiYm2XphM+/fRT9OvXD6amprC0tNR2OQ3ali1b4OrqCmNjY3h6euL06dPaLqnBCw0NRUBAAJycnCCRSPDbb79puySdsHbtWvTq1Qvm5uaws7PD+PHjcf36dW2XpRO2bt2Krl27io1cvb29ceTIEY2+B4NYIzVo0CD8/PPPuH79Ovbs2YNbt25h4sSJ2i6rwYuPj4dCocC2bdtw7do1fPnll/j222/xwQcfaLs0nVBcXIxJkyZh/vz52i6lQdu9ezeWLFmCDz/8EJcuXYKPjw9GjhyJpKQkbZfWoOXn56Nbt274+uuvtV2KTjl16hQWLFiAc+fOISQkBKWlpfD390d+fr62S2vwWrZsiXXr1uHixYu4ePEiBg8ejHHjxuHatWsaew+2r2giDhw4gPHjx6OoqAiGhobaLkenfP7559i6dStu376t7VJ0xo4dO7BkyRJkZ2dru5QGqU+fPujZsye2bt0qHnNzc8P48eOxdu1aLVamOyQSCfbt24fx48druxSd8/DhQ9jZ2eHUqVPw9fXVdjk6x8rKCp9//jlee+01jVyPM2JNQGZmJn788Uf069ePIawWcnJyYGVlpe0yqJEoLi5GZGQk/P39VY77+/vj7NmzWqqKmpKcnBwA4N9rapLL5QgKCkJ+fj68vb01dl0GsUbsvffeg5mZGaytrZGUlIT9+/druySdc+vWLWzevBnz5s3TdinUSGRkZEAul8Pe3l7luL29PdLS0rRUFTUVgiBg6dKlGDBgADw8PLRdjk64evUqmjVrBqlUinnz5mHfvn1wd3fX2PUZxHTIqlWrIJFIqv26ePGiOP7dd9/FpUuXcOzYMejr62PmzJloqnei1f3sACAlJQUjRozApEmT8Le//U1LlWtfbT47ej6JRKLyvSAIFY4RadrChQtx5coV7Nq1S9ul6IyOHTsiOjoa586dw/z58zFr1izExsZq7PoGGrsS1buFCxciMDCw2jEuLi7iP9vY2MDGxgYdOnSAm5sbnJ2dce7cOY1OqeoKdT+7lJQUDBo0CN7e3vjuu+/qubqGTd3PjqpnY2MDfX39CrNf6enpFWbJiDTprbfewoEDBxAaGoqWLVtquxydYWRkhHbt2gEAvLy8EBERgX/+85/Ytm2bRq7PIKZDyoJVbZTNhBUVFWmyJJ2hzmd3//59DBo0CJ6enti+fTv09Jr2xHFd/r2jioyMjODp6YmQkBBMmDBBPB4SEoJx48ZpsTJqrARBwFtvvYV9+/bh5MmTcHV11XZJOk0QBI3+LmUQa4QuXLiACxcuYMCAAWjevDlu376Njz76CG3btm2Ss2HqSElJwcCBA9GqVSts2LABDx8+FM85ODhosTLdkJSUhMzMTCQlJUEulyM6OhoA0K5dOzRr1ky7xTUgS5cuxYwZM+Dl5SXOuiYlJXEt4nM8fvwYN2/eFL9PTExEdHQ0rKys0KpVKy1W1rAtWLAAP/30E/bv3w9zc3NxNlYmk8HExETL1TVsH3zwAUaOHAlnZ2fk5eUhKCgIJ0+exNGjRzX3JgI1OleuXBEGDRokWFlZCVKpVHBxcRHmzZsnJCcna7u0Bm/79u0CgEq/6PlmzZpV6Wd34sQJbZfW4HzzzTdC69atBSMjI6Fnz57CqVOntF1Sg3fixIlK//2aNWuWtktr0Kr6O2379u3aLq3BmzNnjvjfqa2trTBkyBDh2LFjGn0P9hEjIiIi0pKmvfiFiIiISIsYxIiIiIi0hEGMiIiISEsYxIiIiIi0hEGMiIiISEsYxIiIiIi0hEGMiIiISEsYxIiIiIi0hEGMiLTizp07kEgk4jZIusLFxQWbNm3S2PUGDhyIJUuWaOx62iSRSPDbb78B0N0/X6IXjUGMiDROIpFU+zV79mxtl/hcO3bsgKWlZYXjEREReP31119oLQUFBVi5ciU6duwIqVQKGxsbTJw4EdeuXXuhdZRZtWoVunfvXuF4amoqRo4c+eILItJh3PSbiDQuNTVV/Ofdu3fjo48+wvXr18VjJiYmyMrK0kZpkMvlkEgk0NOr3f+H2traarii6hUVFWHo0KFISkrCF198gT59+uDBgwdYu3Yt+vTpgz/++AN9+/Z9oTVVxcHBQdslEOkczogRkcY5ODiIXzKZDBKJpMKxMrdv38agQYNgamqKbt26ITw8XOVaZ8+eha+vL0xMTODs7IxFixYhPz9fPJ+VlYWZM2eiefPmMDU1xciRI5GQkCCeL5vZOnjwINzd3SGVSnH37l0UFxdj+fLlaNGiBczMzNCnTx+cPHkSAHDy5Em8+uqryMnJEWfxVq1aBaDircns7Gy8/vrrsLe3h7GxMTw8PHDw4EEAwKNHjzB16lS0bNkSpqam6NKlC3bt2qXWZ7lp0yaEh4fj4MGDmDx5Mlq3bo3evXtjz549cHNzw2uvvYayLYMru805fvx4lRnInTt3wsvLC+bm5nBwcMC0adOQnp4unj958iQkEgmOHz8OLy8vmJqaol+/fmKQ3rFjB1avXo3Lly+Ln82OHTsAqN6arExsbCxGjRqFZs2awd7eHjNmzEBGRoZ4/tdff0WXLl1gYmICa2trDB06VOXPmqgxYhAjIq368MMP8c477yA6OhodOnTA1KlTUVpaCgC4evUqhg8fjpdeeglXrlzB7t27ERYWhoULF4qvnz17Ni5evIgDBw4gPDwcgiBg1KhRKCkpEcc8efIEa9euxb///W9cu3YNdnZ2ePXVV3HmzBkEBQXhypUrmDRpEkaMGIGEhAT069cPmzZtgoWFBVJTU5Gamop33nmnQu0KhQIjR47E2bNnsXPnTsTGxmLdunXQ19cHABQWFsLT0xMHDx5ETEwMXn/9dcyYMQPnz5+v8efz008/YdiwYejWrZvKcT09Pbz99tuIjY3F5cuXa3y94uJifPLJJ7h8+TJ+++03JCYmVnqr+MMPP8QXX3yBixcvwsDAAHPmzAEATJkyBcuWLUPnzp3Fz2bKlCnPfd/U1FT4+fmhe/fuuHjxIo4ePYoHDx5g8uTJ4vmpU6dizpw5iIuLw8mTJ/HSSy+JIZOo0RKIiOrR9u3bBZlMVuF4YmKiAED497//LR67du2aAECIi4sTBEEQZsyYIbz++usqrzt9+rSgp6cnFBQUCDdu3BAACGfOnBHPZ2RkCCYmJsLPP/8svj8AITo6Whxz8+ZNQSKRCPfv31e59pAhQ4QVK1ZUW3fr1q2FL7/8UhAEQfj9998FPT094fr16zX+PEaNGiUsW7ZM/N7Pz09YvHhxleONjY2rPB8VFSUAEHbv3l3ltcaNGyfMmjWryutfuHBBACDk5eUJgiAIJ06cEAAIf/zxhzjm0KFDAgChoKBAEARBWLlypdCtW7cK1wIg7Nu3TxCE8j/fS5cuCYIgCH//+98Ff39/lfH37t0TAAjXr18XIiMjBQDCnTt3qqyVqDHiGjEi0qquXbuK/+zo6AgASE9PR6dOnRAZGYmbN2/ixx9/FMcIggCFQoHExEQkJCTAwMAAffr0Ec9bW1ujY8eOiIuLE48ZGRmpvE9UVBQEQUCHDh1UaikqKoK1tXWNa4+OjkbLli0rXKeMXC7HunXrsHv3bty/fx9FRUUoKiqCmZlZjd+jOsJfs0VGRkY1fs2lS5ewatUqREdHIzMzEwqFAgCQlJQEd3d3cVxVfy6tWrWqVa2RkZE4ceIEmjVrVuHcrVu34O/vjyFDhqBLly4YPnw4/P39MXHiRDRv3rxW70ekKxjEiEirDA0NxX+WSCQAIIYDhUKBN954A4sWLarwulatWuHGjRuVXlMQBPFagPLhgKe/VygU0NfXR2RkpHgbsUxlQaEqJiYm1Z7/4osv8OWXX2LTpk3o0qULzMzMsGTJEhQXF9f4Pdq3b4/Y2NhKz8XHxwOAGAT19PQq3Mp7+hZtfn4+/P394e/vj507d8LW1hZJSUkYPnx4hZqq+3OpDYVCgYCAAHz22WcVzjk6OkJfXx8hISE4e/Ysjh07hs2bN+PDDz/E+fPn4erqWuv3JWroGMSIqMHq2bMnrl27hnbt2lV63t3dHaWlpTh//jz69esHQLlA/saNG3Bzc6vyuj169IBcLkd6ejp8fHwqHWNkZAS5XF5tfV27dkVycjJu3LhR6azY6dOnMW7cOEyfPh2AMowkJCRUW9uzpk6dig8//BCXL19WWSemUCjw5ZdfwsvLS5zJsrW1VXliVS6XIyYmBoMGDQKgDG4ZGRlYt24dnJ2dAQAXL16scS1lavLZPKtnz57Ys2cPXFxcYGBQ+a8eiUSC/v37o3///vjoo4/QunVr7Nu3D0uXLlW7RiJdwcX6RNRgvffeewgPD8eCBQsQHR2NhIQEHDhwAG+99RYA5WzRuHHjMHfuXISFheHy5cuYPn06WrRogXHjxlV53Q4dOuCVV17BzJkzsXfvXiQmJiIiIgKfffYZDh8+DED5dOTjx49x/PhxZGRk4MmTJxWu4+fnB19fX7z88ssICQlBYmIijhw5gqNHjwIA2rVrJ87yxMXF4Y033kBaWppan8Hbb7+N3r17IyAgAL/88guSkpIQERGBl19+GQkJCeITiwAwePBgHDp0CIcOHUJ8fDzefPNNZGdni+dbtWoFIyMjbN68Gbdv38aBAwfwySefqFVP2WeTmJiI6OhoZGRkoKio6LmvWbBgATIzMzF16lRcuHABt2/fxrFjxzBnzhzI5XKcP38ea9aswcWLF5GUlIS9e/fi4cOHaoVWIl3EIEZEDVbXrl1x6tQpJCQkwMfHBz169MDf//53cc0SAGzfvh2enp4YM2YMvL29IQgCDh8+rHJrrTLbt2/HzJkzsWzZMnTs2BFjx47F+fPnxZmifv36Yd68eZgyZQpsbW2xfv36Sq+zZ88e9OrVC1OnToW7uzuWL18uzhb9/e9/R8+ePTF8+HAMHDgQDg4OGD9+vFqfgbGxMY4fP46ZM2dixYoVaNu2LXr37o2YmBjExMSgc+fO4tg5c+Zg1qxZmDlzJvz8/ODq6irOhgHKGbMdO3bgl19+gbu7O9atW4cNGzaoVQ8AvPzyyxgxYgQGDRoEW1vbGrXkcHJywpkzZyCXyzF8+HB4eHhg8eLFkMlk0NPTg4WFBUJDQzFq1Ch06NAB//d//4cvvviCDWKp0ZMIzy4oICKiBu3IkSOYMGECNmzYoNLKg4h0D2fEiIh0zMiRI3HkyBFkZmaqNEQlIt3DGTEiIiIiLeGMGBEREZGWMIgRERERaQmDGBEREZGWMIgRERERaQmDGBEREZGWMIgRERERaQmDGBEREZGWMIgRERERaQmDGBEREZGW/D8bUyL1G2GdRAAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sm.qqplot(residuals, line = 'q')\n",
-    "plt.title('Q-Q Plot')\n",
-    "plt.show()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                            OLS Regression Results                            \n",
-      "==============================================================================\n",
-      "Dep. Variable:                  price   R-squared:                       0.544\n",
-      "Model:                            OLS   Adj. R-squared:                  0.543\n",
-      "Method:                 Least Squares   F-statistic:                     482.9\n",
-      "Date:                Thu, 29 May 2025   Prob (F-statistic):          8.39e-139\n",
-      "Time:                        19:31:17   Log-Likelihood:                -10340.\n",
-      "No. Observations:                 813   AIC:                         2.069e+04\n",
-      "Df Residuals:                     810   BIC:                         2.070e+04\n",
-      "Df Model:                           2                                         \n",
-      "Covariance Type:            nonrobust                                         \n",
-      "==============================================================================\n",
-      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
-      "------------------------------------------------------------------------------\n",
-      "Intercept   5.624e+04   1.12e+04      5.010      0.000    3.42e+04    7.83e+04\n",
-      "sq__ft       156.2329      6.282     24.868      0.000     143.901     168.565\n",
-      "beds       -2.289e+04   4770.454     -4.799      0.000   -3.23e+04   -1.35e+04\n",
-      "==============================================================================\n",
-      "Omnibus:                      315.937   Durbin-Watson:                   1.928\n",
-      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1853.999\n",
-      "Skew:                           1.656   Prob(JB):                         0.00\n",
-      "Kurtosis:                       9.615   Cond. No.                     7.13e+03\n",
-      "==============================================================================\n",
-      "\n",
-      "Notes:\n",
-      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
-      "[2] The condition number is large, 7.13e+03. This might indicate that there are\n",
-      "strong multicollinearity or other numerical problems.\n"
-     ]
-    }
-   ],
-   "source": [
-    "#multivariable linear regression\n",
-    "\n",
-    "multi_model = smf.ols(\"price~ sq__ft + beds\", data = sacramento).fit()\n",
-    "print(multi_model.summary())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array(['Residential', 'Multi-Family', 'Condo'], dtype=object)"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sacramento[\"type\"].unique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "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>street</th>\n",
-       "      <th>city</th>\n",
-       "      <th>zip</th>\n",
-       "      <th>state</th>\n",
-       "      <th>beds</th>\n",
-       "      <th>baths</th>\n",
-       "      <th>sq__ft</th>\n",
-       "      <th>sale_date</th>\n",
-       "      <th>price</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "      <th>type_Multi-Family</th>\n",
-       "      <th>type_Residential</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1005 MORENO WAY</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95838</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1410</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>180000</td>\n",
-       "      <td>38.646206</td>\n",
-       "      <td>-121.442767</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>10105 MONTE VALLO CT</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95827</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1578</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>190000</td>\n",
-       "      <td>38.573917</td>\n",
-       "      <td>-121.316916</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>10133 NEBBIOLO CT</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95624</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2096</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>289000</td>\n",
-       "      <td>38.391085</td>\n",
-       "      <td>-121.347231</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>10165 LOFTON WAY</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95757</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1540</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>266510</td>\n",
-       "      <td>38.387708</td>\n",
-       "      <td>-121.436522</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>10254 JULIANA WAY</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95827</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2484</td>\n",
-       "      <td>Fri May 16 00:00:00 EDT 2008</td>\n",
-       "      <td>331200</td>\n",
-       "      <td>38.568030</td>\n",
-       "      <td>-121.309966</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>808</th>\n",
-       "      <td>9507 SEA CLIFF WAY</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95758</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2056</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>285000</td>\n",
-       "      <td>38.410992</td>\n",
-       "      <td>-121.479043</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>809</th>\n",
-       "      <td>9570 HARVEST ROSE WAY</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95827</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2367</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>315537</td>\n",
-       "      <td>38.555993</td>\n",
-       "      <td>-121.340352</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>810</th>\n",
-       "      <td>9723 TERRAPIN CT</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95757</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2354</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>335750</td>\n",
-       "      <td>38.403492</td>\n",
-       "      <td>-121.430224</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>811</th>\n",
-       "      <td>9837 CORTE DORADO CT</td>\n",
-       "      <td>ELK GROVE</td>\n",
-       "      <td>95624</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1616</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>227887</td>\n",
-       "      <td>38.400676</td>\n",
-       "      <td>-121.381010</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>812</th>\n",
-       "      <td>9861 CULP WAY</td>\n",
-       "      <td>SACRAMENTO</td>\n",
-       "      <td>95827</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1380</td>\n",
-       "      <td>Wed May 21 00:00:00 EDT 2008</td>\n",
-       "      <td>131200</td>\n",
-       "      <td>38.558423</td>\n",
-       "      <td>-121.327948</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>813 rows × 13 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                    street        city    zip state  beds  baths  sq__ft  \\\n",
-       "0          1005 MORENO WAY  SACRAMENTO  95838    CA     3      2    1410   \n",
-       "1     10105 MONTE VALLO CT  SACRAMENTO  95827    CA     4      2    1578   \n",
-       "2        10133 NEBBIOLO CT   ELK GROVE  95624    CA     4      3    2096   \n",
-       "3         10165 LOFTON WAY   ELK GROVE  95757    CA     3      2    1540   \n",
-       "4        10254 JULIANA WAY  SACRAMENTO  95827    CA     4      2    2484   \n",
-       "..                     ...         ...    ...   ...   ...    ...     ...   \n",
-       "808     9507 SEA CLIFF WAY   ELK GROVE  95758    CA     4      2    2056   \n",
-       "809  9570 HARVEST ROSE WAY  SACRAMENTO  95827    CA     5      3    2367   \n",
-       "810       9723 TERRAPIN CT   ELK GROVE  95757    CA     4      3    2354   \n",
-       "811   9837 CORTE DORADO CT   ELK GROVE  95624    CA     4      2    1616   \n",
-       "812          9861 CULP WAY  SACRAMENTO  95827    CA     4      2    1380   \n",
-       "\n",
-       "                        sale_date   price   latitude   longitude  \\\n",
-       "0    Fri May 16 00:00:00 EDT 2008  180000  38.646206 -121.442767   \n",
-       "1    Fri May 16 00:00:00 EDT 2008  190000  38.573917 -121.316916   \n",
-       "2    Fri May 16 00:00:00 EDT 2008  289000  38.391085 -121.347231   \n",
-       "3    Fri May 16 00:00:00 EDT 2008  266510  38.387708 -121.436522   \n",
-       "4    Fri May 16 00:00:00 EDT 2008  331200  38.568030 -121.309966   \n",
-       "..                            ...     ...        ...         ...   \n",
-       "808  Wed May 21 00:00:00 EDT 2008  285000  38.410992 -121.479043   \n",
-       "809  Wed May 21 00:00:00 EDT 2008  315537  38.555993 -121.340352   \n",
-       "810  Wed May 21 00:00:00 EDT 2008  335750  38.403492 -121.430224   \n",
-       "811  Wed May 21 00:00:00 EDT 2008  227887  38.400676 -121.381010   \n",
-       "812  Wed May 21 00:00:00 EDT 2008  131200  38.558423 -121.327948   \n",
-       "\n",
-       "     type_Multi-Family  type_Residential  \n",
-       "0                    0                 1  \n",
-       "1                    0                 1  \n",
-       "2                    0                 1  \n",
-       "3                    0                 1  \n",
-       "4                    0                 1  \n",
-       "..                 ...               ...  \n",
-       "808                  0                 1  \n",
-       "809                  0                 1  \n",
-       "810                  0                 1  \n",
-       "811                  0                 1  \n",
-       "812                  0                 1  \n",
-       "\n",
-       "[813 rows x 13 columns]"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sacramento_encoded = pd.get_dummies(sacramento, columns = ['type'], drop_first=True)\n",
-    "sacramento_encoded"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#rename column to replace hyphen with underscore\n",
-    "sacramento_encoded.columns = sacramento_encoded.columns.str.replace('-','_')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                            OLS Regression Results                            \n",
-      "==============================================================================\n",
-      "Dep. Variable:                  price   R-squared:                       0.551\n",
-      "Model:                            OLS   Adj. R-squared:                  0.549\n",
-      "Method:                 Least Squares   F-statistic:                     247.6\n",
-      "Date:                Thu, 29 May 2025   Prob (F-statistic):          8.92e-139\n",
-      "Time:                        19:41:48   Log-Likelihood:                -10334.\n",
-      "No. Observations:                 813   AIC:                         2.068e+04\n",
-      "Df Residuals:                     808   BIC:                         2.070e+04\n",
-      "Df Model:                           4                                         \n",
-      "Covariance Type:            nonrobust                                         \n",
-      "=====================================================================================\n",
-      "                        coef    std err          t      P>|t|      [0.025      0.975]\n",
-      "-------------------------------------------------------------------------------------\n",
-      "Intercept          2.927e+04   1.42e+04      2.061      0.040    1387.739    5.71e+04\n",
-      "sq__ft              156.5807      6.268     24.980      0.000     144.277     168.884\n",
-      "beds              -2.527e+04   5059.791     -4.995      0.000   -3.52e+04   -1.53e+04\n",
-      "type_Multi_Family -1.248e+04   2.72e+04     -0.458      0.647   -6.59e+04     4.1e+04\n",
-      "type_Residential   3.683e+04   1.37e+04      2.681      0.007    9869.779    6.38e+04\n",
-      "==============================================================================\n",
-      "Omnibus:                      321.334   Durbin-Watson:                   1.949\n",
-      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1932.454\n",
-      "Skew:                           1.680   Prob(JB):                         0.00\n",
-      "Kurtosis:                       9.764   Cond. No.                     1.75e+04\n",
-      "==============================================================================\n",
-      "\n",
-      "Notes:\n",
-      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
-      "[2] The condition number is large, 1.75e+04. This might indicate that there are\n",
-      "strong multicollinearity or other numerical problems.\n"
-     ]
-    }
-   ],
-   "source": [
-    "multi_cat_model = smf.ols(\"price ~sq__ft + beds + type_Multi_Family + type_Residential\", data = sacramento_encoded).fit()\n",
-    "print(multi_cat_model.summary())"
-   ]
-  }
- ],
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