diff --git a/Basics/match_case.py b/Basics/match_case.py
new file mode 100644
index 00000000..e3536530
--- /dev/null
+++ b/Basics/match_case.py
@@ -0,0 +1,60 @@
+'''
+Checking City Location
+'''
+
+usa = ["atlanta", "new york", "chicago", "baltimore"]
+uk = ["london", "bristol", "cambridge"]
+india = ["mumbai", "delhi", "bangalore"]
+
+city = input("Enter city name: ").lower()
+
+match city:
+    case city if city in usa:
+        print(f"{city} is in USA")
+    case city if city in uk:
+        print(f"{city} is in UK")
+    case city if city in india:
+        print(f"{city} is in India")
+    case _:
+        print(f"I won't be able to tell you which country {city} is in! Sorry!")
+
+
+'''
+Comparing Two Cities
+'''
+usa = ["atlanta", "new york", "chicago", "baltimore"]
+uk = ["london", "bristol", "cambridge"]
+india = ["mumbai", "delhi", "bangalore"]
+
+city1 = input("Enter city 1: ").lower()
+city2 = input("Enter city 2: ").lower()
+
+match (city1, city2):
+    case (city1, city2) if city1 in usa and city2 in usa:
+        print("Both cities are in USA")
+    case (city1, city2) if city1 in uk and city2 in uk:
+        print("Both cities are in UK")
+    case (city1, city2) if city1 in india and city2 in india:
+        print("Both cities are in India")
+    case _:
+        print("They don't belong to the same country")
+
+'''
+Identifying Cuisine
+'''
+
+indian = ["samosa", "kachori", "dal", "naan"]
+chinese = ["egg roll", "fried rice", "pot sticker"]
+italian = ["pizza", "pasta", "risotto"]
+
+dish = input("Enter a dish name: ").lower()
+
+match dish:
+    case dish if dish in indian:
+        print(f"{dish} is an Indian cuisine")
+    case dish if dish in chinese:
+        print(f"{dish} is a Chinese cuisine")
+    case dish if dish in italian:
+        print(f"{dish} is an Italian cuisine")
+    case _:
+        print(f"Based on whatever little knowledge I've, I can't tell which cuisine {dish} is")
diff --git a/Basics/notes/notes.pdf b/Basics/notes/notes.pdf
new file mode 100644
index 00000000..a315d45e
Binary files /dev/null and b/Basics/notes/notes.pdf differ
diff --git a/DataScience/Super Market Sales Analysis/Output/super market.pdf b/DataScience/Super Market Sales Analysis/Output/super market.pdf
new file mode 100644
index 00000000..4b5f47bb
Binary files /dev/null and b/DataScience/Super Market Sales Analysis/Output/super market.pdf differ
diff --git a/DataScience/Super Market Sales Analysis/Super Market sales Analysis.ipynb b/DataScience/Super Market Sales Analysis/Super Market sales Analysis.ipynb
new file mode 100644
index 00000000..adc1d6da
--- /dev/null
+++ b/DataScience/Super Market Sales Analysis/Super Market sales Analysis.ipynb	
@@ -0,0 +1,1974 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "80b32901-3416-4a18-b557-75ff7b71c3c4",
+   "metadata": {},
+   "source": [
+    "### Import Required Libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "87260cd1-8b83-4f8f-947c-3ed0da5930ad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.patches import Patch\n",
+    "from matplotlib.cm import ScalarMappable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df85088f-7fc8-4715-8eac-54373f8fd734",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "4ae463ac-d866-4570-88b3-2bc1a2e9fbba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"supermarket_sales.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "726fed2c-533b-4089-9cce-8d7dbcd53477",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "42326e2a-8a8f-4be4-9b35-5b6a7be1cc7d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1000, 17)"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d309ab42-d12b-448a-849a-dccf3d990cbd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "ab14672d-2d31-46d1-8878-fa80db815b6f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Invoice ID                 0\n",
+       "Branch                     0\n",
+       "City                       0\n",
+       "Customer type              0\n",
+       "Gender                     0\n",
+       "Product line               0\n",
+       "Unit price                 0\n",
+       "Quantity                   0\n",
+       "Tax 5%                     0\n",
+       "Total                      0\n",
+       "Date                       0\n",
+       "Time                       0\n",
+       "Payment                    0\n",
+       "cogs                       0\n",
+       "gross margin percentage    0\n",
+       "gross income               0\n",
+       "Rating                     0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d8cafdd8-38fe-4cff-b626-5831e7ba5f84",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c702702a-b349-4520-8935-dca11f6bbd1c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1000 entries, 0 to 999\n",
+      "Data columns (total 17 columns):\n",
+      " #   Column                   Non-Null Count  Dtype  \n",
+      "---  ------                   --------------  -----  \n",
+      " 0   Invoice ID               1000 non-null   object \n",
+      " 1   Branch                   1000 non-null   object \n",
+      " 2   City                     1000 non-null   object \n",
+      " 3   Customer type            1000 non-null   object \n",
+      " 4   Gender                   1000 non-null   object \n",
+      " 5   Product line             1000 non-null   object \n",
+      " 6   Unit price               1000 non-null   float64\n",
+      " 7   Quantity                 1000 non-null   int64  \n",
+      " 8   Tax 5%                   1000 non-null   float64\n",
+      " 9   Total                    1000 non-null   float64\n",
+      " 10  Date                     1000 non-null   object \n",
+      " 11  Time                     1000 non-null   object \n",
+      " 12  Payment                  1000 non-null   object \n",
+      " 13  cogs                     1000 non-null   float64\n",
+      " 14  gross margin percentage  1000 non-null   float64\n",
+      " 15  gross income             1000 non-null   float64\n",
+      " 16  Rating                   1000 non-null   float64\n",
+      "dtypes: float64(7), int64(1), object(9)\n",
+      "memory usage: 132.9+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a1a9b496-2ed9-40b8-add8-7e3ec98a31a5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "8359851d-fa4e-4029-aa07-f652b51cfff0",
+   "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>Invoice ID</th>\n",
+       "      <th>Branch</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Customer type</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Product line</th>\n",
+       "      <th>Unit price</th>\n",
+       "      <th>Quantity</th>\n",
+       "      <th>Tax 5%</th>\n",
+       "      <th>Total</th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Time</th>\n",
+       "      <th>Payment</th>\n",
+       "      <th>cogs</th>\n",
+       "      <th>gross margin percentage</th>\n",
+       "      <th>gross income</th>\n",
+       "      <th>Rating</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>750-67-8428</td>\n",
+       "      <td>A</td>\n",
+       "      <td>Yangon</td>\n",
+       "      <td>Member</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Health and beauty</td>\n",
+       "      <td>74.69</td>\n",
+       "      <td>7</td>\n",
+       "      <td>26.1415</td>\n",
+       "      <td>548.9715</td>\n",
+       "      <td>1/5/2019</td>\n",
+       "      <td>13:08</td>\n",
+       "      <td>Ewallet</td>\n",
+       "      <td>522.83</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>26.1415</td>\n",
+       "      <td>9.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>226-31-3081</td>\n",
+       "      <td>C</td>\n",
+       "      <td>Naypyitaw</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Electronic accessories</td>\n",
+       "      <td>15.28</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3.8200</td>\n",
+       "      <td>80.2200</td>\n",
+       "      <td>3/8/2019</td>\n",
+       "      <td>10:29</td>\n",
+       "      <td>Cash</td>\n",
+       "      <td>76.40</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>3.8200</td>\n",
+       "      <td>9.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>631-41-3108</td>\n",
+       "      <td>A</td>\n",
+       "      <td>Yangon</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Home and lifestyle</td>\n",
+       "      <td>46.33</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16.2155</td>\n",
+       "      <td>340.5255</td>\n",
+       "      <td>3/3/2019</td>\n",
+       "      <td>13:23</td>\n",
+       "      <td>Credit card</td>\n",
+       "      <td>324.31</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>16.2155</td>\n",
+       "      <td>7.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>123-19-1176</td>\n",
+       "      <td>A</td>\n",
+       "      <td>Yangon</td>\n",
+       "      <td>Member</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Health and beauty</td>\n",
+       "      <td>58.22</td>\n",
+       "      <td>8</td>\n",
+       "      <td>23.2880</td>\n",
+       "      <td>489.0480</td>\n",
+       "      <td>1/27/2019</td>\n",
+       "      <td>20:33</td>\n",
+       "      <td>Ewallet</td>\n",
+       "      <td>465.76</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>23.2880</td>\n",
+       "      <td>8.4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Invoice ID Branch       City Customer type  Gender  \\\n",
+       "0  750-67-8428      A     Yangon        Member  Female   \n",
+       "1  226-31-3081      C  Naypyitaw        Normal  Female   \n",
+       "2  631-41-3108      A     Yangon        Normal    Male   \n",
+       "3  123-19-1176      A     Yangon        Member    Male   \n",
+       "\n",
+       "             Product line  Unit price  Quantity   Tax 5%     Total       Date  \\\n",
+       "0       Health and beauty       74.69         7  26.1415  548.9715   1/5/2019   \n",
+       "1  Electronic accessories       15.28         5   3.8200   80.2200   3/8/2019   \n",
+       "2      Home and lifestyle       46.33         7  16.2155  340.5255   3/3/2019   \n",
+       "3       Health and beauty       58.22         8  23.2880  489.0480  1/27/2019   \n",
+       "\n",
+       "    Time      Payment    cogs  gross margin percentage  gross income  Rating  \n",
+       "0  13:08      Ewallet  522.83                 4.761905       26.1415     9.1  \n",
+       "1  10:29         Cash   76.40                 4.761905        3.8200     9.6  \n",
+       "2  13:23  Credit card  324.31                 4.761905       16.2155     7.4  \n",
+       "3  20:33      Ewallet  465.76                 4.761905       23.2880     8.4  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a85e362c-ee71-4646-8678-8bbf42ab7824",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "640c6b63-e3b7-4f0d-8c10-5966cefa0836",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Time'] = pd.to_datetime(df['Time'], format='%H:%M').dt.time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6c57f7a-9afc-4377-8f99-d5c756196f8b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "dddc9b54-4b97-4c59-a117-9784ef429b51",
+   "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>Invoice ID</th>\n",
+       "      <th>Branch</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Customer type</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Product line</th>\n",
+       "      <th>Unit price</th>\n",
+       "      <th>Quantity</th>\n",
+       "      <th>Tax 5%</th>\n",
+       "      <th>Total</th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Time</th>\n",
+       "      <th>Payment</th>\n",
+       "      <th>cogs</th>\n",
+       "      <th>gross margin percentage</th>\n",
+       "      <th>gross income</th>\n",
+       "      <th>Rating</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>750-67-8428</td>\n",
+       "      <td>A</td>\n",
+       "      <td>Yangon</td>\n",
+       "      <td>Member</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Health and beauty</td>\n",
+       "      <td>74.69</td>\n",
+       "      <td>7</td>\n",
+       "      <td>26.1415</td>\n",
+       "      <td>548.9715</td>\n",
+       "      <td>1/5/2019</td>\n",
+       "      <td>13:08:00</td>\n",
+       "      <td>Ewallet</td>\n",
+       "      <td>522.83</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>26.1415</td>\n",
+       "      <td>9.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>226-31-3081</td>\n",
+       "      <td>C</td>\n",
+       "      <td>Naypyitaw</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Electronic accessories</td>\n",
+       "      <td>15.28</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3.8200</td>\n",
+       "      <td>80.2200</td>\n",
+       "      <td>3/8/2019</td>\n",
+       "      <td>10:29:00</td>\n",
+       "      <td>Cash</td>\n",
+       "      <td>76.40</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>3.8200</td>\n",
+       "      <td>9.6</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Invoice ID Branch       City Customer type  Gender  \\\n",
+       "0  750-67-8428      A     Yangon        Member  Female   \n",
+       "1  226-31-3081      C  Naypyitaw        Normal  Female   \n",
+       "\n",
+       "             Product line  Unit price  Quantity   Tax 5%     Total      Date  \\\n",
+       "0       Health and beauty       74.69         7  26.1415  548.9715  1/5/2019   \n",
+       "1  Electronic accessories       15.28         5   3.8200   80.2200  3/8/2019   \n",
+       "\n",
+       "       Time  Payment    cogs  gross margin percentage  gross income  Rating  \n",
+       "0  13:08:00  Ewallet  522.83                 4.761905       26.1415     9.1  \n",
+       "1  10:29:00     Cash   76.40                 4.761905        3.8200     9.6  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "49ec92a1-7548-4e92-b3dd-c63d5e20b6c9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "be389746-66f1-42b8-aa32-e88577f73ddb",
+   "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",
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+       "    }\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>Invoice ID</th>\n",
+       "      <th>Branch</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Customer type</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Product line</th>\n",
+       "      <th>Unit price</th>\n",
+       "      <th>Quantity</th>\n",
+       "      <th>Tax 5%</th>\n",
+       "      <th>Total</th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Time</th>\n",
+       "      <th>Payment</th>\n",
+       "      <th>cogs</th>\n",
+       "      <th>gross margin percentage</th>\n",
+       "      <th>gross income</th>\n",
+       "      <th>Rating</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>750-67-8428</td>\n",
+       "      <td>A</td>\n",
+       "      <td>Yangon</td>\n",
+       "      <td>Member</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Health and beauty</td>\n",
+       "      <td>74.69</td>\n",
+       "      <td>7</td>\n",
+       "      <td>26.1415</td>\n",
+       "      <td>548.9715</td>\n",
+       "      <td>1/5/2019</td>\n",
+       "      <td>13:08:00</td>\n",
+       "      <td>Ewallet</td>\n",
+       "      <td>522.83</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>26.1415</td>\n",
+       "      <td>9.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>226-31-3081</td>\n",
+       "      <td>C</td>\n",
+       "      <td>Naypyitaw</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>Electronic accessories</td>\n",
+       "      <td>15.28</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3.8200</td>\n",
+       "      <td>80.2200</td>\n",
+       "      <td>3/8/2019</td>\n",
+       "      <td>10:29:00</td>\n",
+       "      <td>Cash</td>\n",
+       "      <td>76.40</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>3.8200</td>\n",
+       "      <td>9.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>631-41-3108</td>\n",
+       "      <td>A</td>\n",
+       "      <td>Yangon</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Home and lifestyle</td>\n",
+       "      <td>46.33</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16.2155</td>\n",
+       "      <td>340.5255</td>\n",
+       "      <td>3/3/2019</td>\n",
+       "      <td>13:23:00</td>\n",
+       "      <td>Credit card</td>\n",
+       "      <td>324.31</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>16.2155</td>\n",
+       "      <td>7.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>123-19-1176</td>\n",
+       "      <td>A</td>\n",
+       "      <td>Yangon</td>\n",
+       "      <td>Member</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Health and beauty</td>\n",
+       "      <td>58.22</td>\n",
+       "      <td>8</td>\n",
+       "      <td>23.2880</td>\n",
+       "      <td>489.0480</td>\n",
+       "      <td>1/27/2019</td>\n",
+       "      <td>20:33:00</td>\n",
+       "      <td>Ewallet</td>\n",
+       "      <td>465.76</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>23.2880</td>\n",
+       "      <td>8.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>373-73-7910</td>\n",
+       "      <td>A</td>\n",
+       "      <td>Yangon</td>\n",
+       "      <td>Normal</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>Sports and travel</td>\n",
+       "      <td>86.31</td>\n",
+       "      <td>7</td>\n",
+       "      <td>30.2085</td>\n",
+       "      <td>634.3785</td>\n",
+       "      <td>2/8/2019</td>\n",
+       "      <td>10:37:00</td>\n",
+       "      <td>Ewallet</td>\n",
+       "      <td>604.17</td>\n",
+       "      <td>4.761905</td>\n",
+       "      <td>30.2085</td>\n",
+       "      <td>5.3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Invoice ID Branch       City Customer type  Gender  \\\n",
+       "0  750-67-8428      A     Yangon        Member  Female   \n",
+       "1  226-31-3081      C  Naypyitaw        Normal  Female   \n",
+       "2  631-41-3108      A     Yangon        Normal    Male   \n",
+       "3  123-19-1176      A     Yangon        Member    Male   \n",
+       "4  373-73-7910      A     Yangon        Normal    Male   \n",
+       "\n",
+       "             Product line  Unit price  Quantity   Tax 5%     Total       Date  \\\n",
+       "0       Health and beauty       74.69         7  26.1415  548.9715   1/5/2019   \n",
+       "1  Electronic accessories       15.28         5   3.8200   80.2200   3/8/2019   \n",
+       "2      Home and lifestyle       46.33         7  16.2155  340.5255   3/3/2019   \n",
+       "3       Health and beauty       58.22         8  23.2880  489.0480  1/27/2019   \n",
+       "4       Sports and travel       86.31         7  30.2085  634.3785   2/8/2019   \n",
+       "\n",
+       "       Time      Payment    cogs  gross margin percentage  gross income  \\\n",
+       "0  13:08:00      Ewallet  522.83                 4.761905       26.1415   \n",
+       "1  10:29:00         Cash   76.40                 4.761905        3.8200   \n",
+       "2  13:23:00  Credit card  324.31                 4.761905       16.2155   \n",
+       "3  20:33:00      Ewallet  465.76                 4.761905       23.2880   \n",
+       "4  10:37:00      Ewallet  604.17                 4.761905       30.2085   \n",
+       "\n",
+       "   Rating  \n",
+       "0     9.1  \n",
+       "1     9.6  \n",
+       "2     7.4  \n",
+       "3     8.4  \n",
+       "4     5.3  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4988f317-3379-4581-8461-8fab373cfa08",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a1cb0c1-f56f-4c6b-abf1-434f3794ba9e",
+   "metadata": {},
+   "source": [
+    "# Drop Unnessary Columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "ab558db6-af67-4316-a2a2-0834cbc21678",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.drop(columns='Invoice ID', inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "666657c8-98c5-41b3-9c36-998f226b0293",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19bd3d97-c39e-4c2f-a2e1-04d6fe3b20a8",
+   "metadata": {},
+   "source": [
+    "## Analyze Rating of Product Line"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "c2700c90-7988-49f1-955c-2822d87d0538",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "colors_bar = [\n",
+    "    '#1F77B4',  # Blue\n",
+    "    '#FF7F0E',  # Orange\n",
+    "    '#2CA02C',  # Green\n",
+    "    '#D62728',  # Red\n",
+    "    '#9467BD',  # Purple\n",
+    "    '#8C564B',  # Brown\n",
+    "    '#E377C2',  # Pink\n",
+    "    '#7F7F7F',  # Gray\n",
+    "    '#BCBD22',  # Lime\n",
+    "    '#17BECF',  # Teal\n",
+    "    '#FFBB78',  # Light Orange\n",
+    "    '#98DF8A',  # Light Green\n",
+    "    '#FF9896',  # Light Red\n",
+    "    '#C5B0D5',  # Light Purple\n",
+    "    '#C49C94'   # Light Brown\n",
+    "]\n",
+    "\n",
+    "colors_xtick = [\n",
+    "    '#FFFFFF',  # White\n",
+    "    '#FF0000',  # Red\n",
+    "    '#00FF00',  # Green\n",
+    "    '#0000FF',  # Blue\n",
+    "    '#FF00FF',  # Magenta\n",
+    "    '#800000',  # Maroon\n",
+    "    '#808000',  # Olive\n",
+    "    '#008000',  # Dark Green\n",
+    "    '#800080',  # Purple\n",
+    "    '#808080',  # Gray\n",
+    "    '#C0C0C0',  # Silver\n",
+    "    '#FFC0CB',  # Pink\n",
+    "    '#A52A2A'   # Brown\n",
+    "]\n",
+    "\n",
+    "colors_ytick = [\n",
+    "    '#FFFFFF',  # White\n",
+    "    '#FF00FF',  # Magenta\n",
+    "    '#00FF00',  # Green\n",
+    "    '#0000FF',  # Blue\n",
+    "    '#FF0000',  # Red\n",
+    "    '#800000',  # Maroon\n",
+    "    '#808000',  # Olive\n",
+    "    '#008000',  # Dark Green\n",
+    "    '#800080',  # Purple\n",
+    "    '#808080',  # Gray\n",
+    "    '#C0C0C0',  # Silver\n",
+    "    '#FFC0CB',  # Pink\n",
+    "    '#FFA500',  # Orange\n",
+    "    '#A52A2A',  # Brown\n",
+    "    '#7F7F7F',  # Medium Gray\n",
+    "    '#D3D3D3'   # Light Gray\n",
+    "]\n",
+    "\n",
+    "# Define font dictionaries with color\n",
+    "title_font = {'fontsize': 16, 'fontweight': 'bold', 'family': 'serif', 'color': '#DC143C'}\n",
+    "\n",
+    "subtitle_font = {'fontsize': 12, 'fontweight': 'light', 'family': 'serif', 'color': '#6A5ACD'}\n",
+    "\n",
+    "label_font = {'fontsize': 10, 'family': 'sans-serif', 'color': '#7B68EE'}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "31f5f294-bda3-4e40-8c99-3affba803333",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rating = df.groupby('Product line')['Rating'].sum() # First we sum the rating of products"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "363322ee-f927-4067-9166-35d56ab5f097",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create the plot with specified figure size\n",
+    "fig, ax = plt.subplots(figsize=(10, 7))\n",
+    "\n",
+    "# Create the bar chart\n",
+    "ax.bar(rating.index, rating.values, color=colors_bar)\n",
+    "\n",
+    "# Set the background color of the figure and axes\n",
+    "fig.patch.set_facecolor('#000000')  # Figure background color (light gray)\n",
+    "ax.set_facecolor('#F5F5F5')  # Axes background color (black)\n",
+    "\n",
+    "\n",
+    "# Set titles and labels\n",
+    "ax.set_title('A Detailed View Of Rating Across Product Lines', fontdict=title_font)\n",
+    "ax.set_xlabel(\"Product Line\", fontdict=label_font)\n",
+    "ax.set_ylabel(\"Rating\",fontdict=label_font)\n",
+    "\n",
+    "# Set the font size of x-tick labels\n",
+    "ax.tick_params(axis='x', labelsize=8)\n",
+    "\n",
+    "# Set the color of the x-tick labels\n",
+    "for label, color in zip(ax.get_xticklabels(), colors_xtick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "\n",
+    "# Set the color of the x-tick labels\n",
+    "for label, color in zip(ax.get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d2fcfb43-7a57-4b67-8cc3-aa0b477e827a",
+   "metadata": {},
+   "source": [
+    "## Analyze Total Revenue"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "6dedcdc1-d2a1-4109-8216-553a11747a91",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_revenue = df.groupby('Product line')['Total'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "8be7aa97-b373-450a-b112-84816d06181b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10,7))\n",
+    "\n",
+    "fig.patch.set_facecolor('#f0FFF0')\n",
+    "\n",
+    "ax.bar(rating.index, rating.values, color=colors_bar)\n",
+    "# Set the font size of x-tick labels\n",
+    "ax.tick_params(axis='x', labelsize=8)\n",
+    "\n",
+    "ax.set_title(\"A Detailed View Of Total Price Across Product Line\", fontdict=title_font)\n",
+    "ax.set_xlabel(\"Prooduct Line\", fontdict=label_font)\n",
+    "ax.set_ylabel(\"Total Revenue\", fontdict=label_font)\n",
+    "\n",
+    "for label, color in zip(ax.get_xticklabels(), colors_xtick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax.get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "00296976-8823-428a-87c7-a21689cdce8b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "418072bc-9693-4724-b34b-c3641c0be652",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_tax = df.groupby('Product line')['Tax 5%'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "dcf53e52-a502-4b2f-ad7b-6654d1c271a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10,7))\n",
+    "\n",
+    "fig.patch.set_facecolor('#0f0F00')\n",
+    "\n",
+    "ax.bar(p_tax.index, p_tax.values, color=colors_bar)\n",
+    "# Set the font size of x-tick labels\n",
+    "ax.tick_params(axis='x', labelsize=8)\n",
+    "\n",
+    "ax.set_title(\"A Detailed View Of Total Tax Across Product Line\", fontdict=title_font)\n",
+    "ax.set_xlabel(\"Prooduct Line\", fontdict=label_font)\n",
+    "ax.set_ylabel(\"Tax 5%\", fontdict=label_font)\n",
+    "\n",
+    "for label, color in zip(ax.get_xticklabels(), colors_xtick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax.get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f6398222-cfaf-4b7d-b76e-50f339be83a3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "179626e0-9023-479c-aad9-42d9b786db7a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Branch', 'City', 'Customer type', 'Gender', 'Product line',\n",
+       "       'Unit price', 'Quantity', 'Tax 5%', 'Total', 'Date', 'Time', 'Payment',\n",
+       "       'cogs', 'gross margin percentage', 'gross income', 'Rating'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "1daca0d4-650e-48a7-8ed6-920a8d0f7a68",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_gincome = df.groupby('Product line')['gross income'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "8c971c22-4f11-4605-b585-163565f3cb80",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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cyeIwpuVzlHnlj9Mf7pl0Mqp55Y/SkZy33N8jmNr3drLvXtU+fahreZ6GP9Njx+WNNtEEI13J1fTH+2hLX8hAeJAlhV8yyGMsLpxFZJDp6Uuq1vFs7AfWF4YtjdMV/klKL63psdQwl7p0W/qTe7M7Q0pHcj4zVmIcyTMx7qxaSBkID9AQdyWltypoNaZ7MSN9dfa48sY8mrwNgI7COdTHbWmJR1bGEfXGm8c8z3waJpjkocA0GtI9mFf+2MhZmbg7dXFrHi++D4Ce5Ho604tpjc8feswzm4hi2LLkr5WgBdkYsPq4PUQYCA/QFa6kHJawoPh5Ni19v7ITa0/+XglaANPSl9IanwdAQ3kXHi6+9hnVC6AtPb7qOfqTe+kv30cd21SWdYWrSEN7VRfCyV7/sRYWzqgcgCexibnlDxCoobG8N73hv5TDEvqTu3ias5hTfjc1zKEmzmFJ3KRyQDrI49TGTUfqk1xV9RzdyVXUpi8nkFAft2cgPMi09KQJPwdj9YW7xy1b0Y9nMc6pCmh9ITvgKDKNYpw27vMyPI5xZY3tYlvD3FU6kzj8+R37HvWGm9ms9ENqmANALPezsPg1ADrCRSwtnF0pO7P8pspBcF15ax4Or4OQ0pNczyK+w9xy9t3pDtdV3mfIBu0Pn0gh7k5Tuj+PFE+tqseSwi8q43da0+cxPT25cl9TPIBAPe2Fv0x5u1eklo0hVo+PSEM3M0v/r3KippwurhzUDYQH6Q7XVyY5gey7uWxU68y09CXMTEe+j03l/Xk0nEYc1S03ZYAni5+oBNuauAmzy+8iEGiMuzPIU3QUziMN3SwofJFNSl+nls0n3Q81xD0q4/9CmvBk8omhbengseJ72LT0raxlIUJXuJL+oc96e/IXpqcvq+xnIilPFT9XOcCqiZsyO81ObjSUd+bB8CoIJbqTa1kafzcuqK2MQZ6gN9ycdXelhpb0qKrWrY7kXFrKE4ethYUzKkELYG75AzTGPUdeh9KuPFp8e+X2ZN/D/nAvm5d+REI2tqmULqAjuQiApcnZlaAFMKf8Lurjc7L1lWdWfiM6kwspxumV36eO5MJK0Mr2bx+sfFcb4540pLvzWM07K+uNlFmS/F/l9rT0pbSlIy0SzeWDeYrP0xdGvkurQySOa72qS7ehZng8adx4gpbFlLnl91a2pTfcVLnnqcLnK0Er2+4PV068lNMulhR+RgyDLCp8h2J5TmXGyb5wb1Voy37rs89wY3kvBgqP0B/umXAb6uP2RPon3cb6uB098Yblvg5T/d5O9t2b6j79mRr+TCexcdJ5MSaaYCTSO3QCuUhT3I+u5BoGwv0ALEv+yLT0Rc/qfmB94pgtjdORnEdj3KvS3Dy2C1pHciGRUq51GP6BG214VraO5MJK0AKoG9WyUMumhDgyIcXSwh9X6flnpK9mfvkzVQetkTK1sbrFoGtoSuLVJVJmafLbUQsS6uJIkKmL21b+PxieoDtcU7ndnvytal2ju8MVaKlaz6pqiHuOC8LtheqJVNqTc6hPd5zylPr93E9PMtKaWRu3rPygBxLq4sj06Z3hMkqMnFVtSg8aWVEoV81gNjZsjb7dG/5LGrpoSg9kZYw+k1t5uhVMgDJ2gpSsG9DqM7arTBIbJiwXiUTKE/wtf9KbbF8wp3K7Ke7HxqWvZgeCo8auQfVnrsgMakYN4u4KlzPAwwCVYDxs9Ps1/NgZ6WuojztWlg0w8pis21Z71WNa0+fTVj7x2TmDGos0xN1G6hvnVd3dPyqUZwfMv6m6vyU9oup2oEhLWh0eOpOLqloQG9JdqvZHo7uoxdDPkkm60w5rTEe6VRdjdc+E7L2aP+r2yP1p6GaQxyu3u8O1lQMwqN4nJTRWrac9+esq/Va0J+eT0ELT0Ey0renzII5se19yB/08OO5x/TxQmSYespag0UELoIZ5VZ+rybSkh1X9DrWmxzKv9FHKdFRN2hRiHXVx+8rturhd1W/QsuRPld+u0a9jSu+4MdB1bDnUlSv7nSnTThq6Kvf3hptJx8xmOy09abV0E4eUyCD9PMSCwpeqToZkkz29e7mPbk2Prbo9u/w/TC+/gu5wA33J7ZXldXGHStCC6s8xIa0KVx3JOZVu6wD1Y7p4N8Q9VmrLVsWqfm/XZQ1xt6oW+dG/9WnoYJCRCZWejf3A+sSWLVXpC/fQn9zHvNInKsua42Esjj+ujNXIunFcPWk3jtUjnfSenvCfqtsJTcRRkwwkNFEeOtM0GB6hxLJVmrK2K1xJR3IJA0PXTxq90x+2wuuVTFF/uLfSXQYgITtwHt6+sTNI9YZbaY4HM8jCcXUZe0BVYOYzrl8g0Joey+LCSFenrnAFM3kDBZrp5376k7uZU3r/lNfdk4x9X5vHvK+jtj2U6Qu3Vy4L0JweyLLCSEjtTv5Fa/loBnmKgXA/xTibUshmMRsID1a6EnaHa6iJm1LLSEvYVE29FWl1919fuRlC25M/V71vwyYbpzBs9I8oZO9DfdyBvnB3dfiMRYpMrypbjLMq11UjRLqTf1Obbj6uNXBR8RssjWfTEHenId2NxrjXuMtMFJlNaehMbH9yLw+F19IQd6Ih7kpjuhd1bMOstLo1LC8FWqsOSkYfPAKUh2aphOHv9KhgGJMJx6ZMS19SNSlBT6g+615k9pjb1d/vnnAjkXTS8WqjZzULY+o7dhrpsd0wy6Gj8jHrHbP/LcTq72khNjM49BFPQxf94YHldrUdK2WAzuQSWtKjK9dZrGVjGuIu9IaRFquO5Fxmp9UzrI3tvl0TJ/5ezyt/nBV9b8aenCrQRoE2usKVxDBQWV5kZtVrHggUmVE5MI1hgN5wC83x4Or3LKQ8WfwYNXFTGtJdaYy70xD3qBrPU6CNEGuIYXBo+27gofAaGuIuNMRdaEz3oT4+p9Kq9kwsKn6LRXyralkSm2iKBzOjfMoKuzSPfb2Gx5wtC9WzCY/93I79nepP7qVUzn6ze8Ntyy1bXA2/aZNZ1e/tuqwQq9/j8fu1Z28/sL4xbKlKR3IehTiT+rgDZUbOqDXFA+kMl4wqN3k3jtVh7Nk7oDIhxPBB87DFhR+xeFR/+rHKPD3lsLWw8G06h2fCioFp6UtojPsQqOXx4siFBCMDk6xh1Yyd1jgN3TxQM/m1zYYDVjmM718/tkVldV0guiU9hiXJ2cSQddGIoZ/O5FKmpSfSXjiXQpxGczxoBWsZb+y29yTX8kCygm0f2vHXsTXFOJdSWAAMnwHuoSu5iiQ2M6P8WhYWv1p5bHdyNTXpyXQn12ZnzVdSIU4ft2yiz2r1/dUzNk40sckzUYjTRwINkIaJ69OcPpf6uEs2gcrYWd6Wt/5JvjslqsP92B/miZYNP6YpHlD1fkH2fnaGi+hMLiLEWlrT5zEjfW3lczwtfSFPF34wsrJQojf8l17+y5LCL6iNWzCrfOoqTUYzVSu+wOvIQcfYz3VCw4Stb4Fi1XoHx5w8GRuQxs4mGUMvKZ2Tfr6qQ9jYwF8d0MYHtpETTWP3v+2Fv9Fe+BuTybZ/5Q+yusKVpKGTlvTQqt+g5vTwqu6BncnlzEzfUHUSZvxr3TThc0z0WR1rss/94KjPLEzcsj122WBYADEbc7cs+TNp6B5136MMFh6lg3NJYiNt6UmVbpuBAq3pC6q6UMbQR0+4gR5uYHHhJ9SnOzKr/NYp9yQYa3r5lTTGfbP6xwIJzRSZvdInk8aeaBlWGvN6JbH6tZno9SuFhRTjtHHjxsb+poW4+sZmjqvDKn5v12Ur7hUwar+W835gfbN+fEK0WpTpGjpr189DNcvvX9uX3EF/+UHqVmIg/qoYHHWRVwBiYVQ3suozkm3lk2iOh066rpopXi+nL9xTdTDaFA9gZvq6Ka1j1VVvW4gNzC9/ftLSY1u6ng0FmmmOh4wJ3+fTkh5BV7iCtvSFy50pbHLV216f7sLM9A2Tli7G6rOaTemBtBeys6gxDNIdbqA7XEVT3I+muD8h1lUCYldyFfVxR8ph2Up3IYRsHMBYpbCoqovj+PurD5rrKxd4Xj3q43PoY+QgdJAFE5YrMp1inE5PvH7C+ycz+jIMKyg5bslkbQcJ9Wxc+hpLCj+nK1xFHBMQYxigvfB30tDLnKHuS23pCRRiK0sLf5hw0PdAeIgnC59kk9K3qGWTlazzs2F1Xch77ZjRa+zWNKeH0Za+aNLyU72Ya8fQ9R0fq3n38usR+uhM/jGmVWHM/nNKz1xt5fdhEz3L2HpkZYrMYpPSN1lc+Ck94YaqFjKANPRUxkAOj3GZmb6eGubSnvyNwfA4Y/Uld/BE+Diblb73jE7kFONc6se0Yk/Fqu3zYeLvx9rwWV9d39v1U977gfWNYUsVncklRErMK31ywlaQxclP6E/uq9yeqBvH6tIXbq+63RB3rZzBzLomjYzfKND8jH4kVvTc9c/iwNbCmC4WkUHq4jYrPLs4NngAQ1MKN466vfpa4drKJ1TN4jQYHmVR4Qwig6s8fmBs95JAYUrva3M8kHZGuqy0J3+lP7mP6aVXklBPQ9yjcjmBgfAAy5I/UoxzqWPyoDRWLZtQG7dgYNTMjn3hXpri/hOWT+ljgOqLFleNL1sNmtNDWJb8rjIjYQy99PPQuCnEV7fiqHFcML4FDxg3QH30VM1FpjGn/C5m8Tb6wh30hv/Slfyz6kx4Z7ic2fxP5cxxczyU5tKhDPIUveEWepIbsvFeQ118YxigK7ki96mVp2L869RLpLzCs8g1cU5Vi2Uc8/oOnzgYFmIDCS3PsLYrNrbrVqBute1/h7shzyy/YcIxpp3J5XQOTVIB0J6cWxW2xr7WZbpZ3cYeNMYJWrbHfu6LcaReNcxjXvl0UnroDbfRG26mK/ln1djLzuTiStgKBNrS42lLj2eAh+lNbqU7XEtvcnOlfBra6Q43rJXXdSyOeb3SMOZzPMEkFjVDr1eBmZQYOfE6dh8zNqyOV91CO3Z86vLGEa3q93ZNycbkDlZaRPOW535gfeQEGQKyL2pHcj5NcV+a4t40xF3H/Y09iO5MriClZ7XXJbsg7shMRsSkMpsTUDUwHRi6ntR4Dxdfz8PFN41ZOvFHPhsY/MDQpAvVwWb0Gbs8tne0+rhtdWtVKFXGqYzWES7k/uKJdAy1LhWZPe5HbWwzf3k1XpCyjm2oS6u7BHQn19IY962aTGEqVvZ9XVD4GvcXX8gg1a2fdXEHCqNCZ39yDyE2VAbIN49pwepJbphSq9awGeXqWR27kyuJk4wx7A7XVK6xBVCXbk9TPGDKz7k8dWxBS6weuD3RdXBWt7q4TXW3ylCqmrQExnwGY6AxzS6s2RX+yWOF9xCJJNTSGHdnZvpaNiv9oHr6/VCiTDb+6fHCB+kI2XbVMI/WeAzzyh9lztAMh8NW9wQkz1Rd3JYkto4sCGnVQPNhi5If8HDxjZWJP4a7dA0b261p7O2muPdqvb7YZBrS6u/p4KiJS0Z7vPAhHii+dNILn0+kvXAehTiNtvTECX+DppXHTD0dHqNn1CQToycBye6feB/yWOE9PFH42ErXa7SGuFtV97USi6u+/5FIaVT3txDrKvu2ZcmfebLwWSAb+9gU92VWeiqbln5QNW5u+DMcGeSR4lvpCTcDUMvmtKUnML/8WWaU/19VvcZOlLO2aBxzcfXsOnyjbofq23Xp9pUWuoa485iyY78Dy/9NK8Tqkw9ju/2XwuSPX9Xv7VDhCdeZ0ks/D1R1j11dSizkwZoX0xkuW+3rnkie+4H1kWFLQDYr22B4nJZ0/AVqhzXHQ6vGCcTQu9oP6lJ6WVj4WtUB6sz0TVXdt1rT51ftBHvCDeN2Xl3hKkphEa1jtqdAa9XtOHSWrT88yGM1p9GVXEHNmGmeB3ik8v+xA3ZXt0DNuKb4zqR65xkZpL1wHgnNVdNLt4256GBvuLXy/zKd9If7WJ3a0uNXatnKqo87UJ+OjLcph8VVA+IBBnmK7nAtDXHXkWmIhwQCTWl1kGmK+1TCcmPcF2J1Y/7o129lNcV9mF5+1Uidhq6/NlaZ9qrZ+gpxFvPKp+dygcdZ5bdRl450T+xIzql6/6tNPvnMVAQKzChXXwJi9PtVYnHVwUlLPJJaNgOgHLroT+6lO1TP5hmoqRoEX4jTKgdeg+EJ2gt/IzJY9ZjRF38FVuoaY8+mQIHp6Suqlo39TpdYRldyOTVxXmV7W9KjqYkjA/J7k1urzsyPfq1DrGN6+dmZWrk5HlS1j+wLd487CO0Ld9EX7hya0W/5s3UOS+mhK1xBS3rEpGNgatmY+rR6JsGO5NzK/+vYqmofUA7Lqk/ckV0guD+5d9yB/Moq0Mq09KTK7Rj6q2af7A93V35XIJtAoTDU4limnZ5wPX1jpisv0Ewy6rdp+IRDJDIYHhs30yxQ9dkY/Zi1TVPch/p0pHdIf7iLdFRrVtU+PibMSEdCZFv5BIgjh6l9Y/ZpvWPe27Fq2IQkNldul0Z1sY6Uxq1vtFX93gIUYvVxxvD29oQbeazmtHG/a+uivPYD6yu7EW7gIoP0hXtoT/481A2lfsIuSJFB+sOD1MVt6RsVONqTc6mNW1GMs5fbotEX7hqaZrr6QGkgPAwUSOmhP9xXNa17IU5jVvnt4w6IC7Qwr/wRnip8ljR0kYZunih+lOnlk0lopC/cwbLkLzSkuzMtfXHVYxvS3SFJKt2OusJV1ISNaE/+DjHQkO5GLZtVdRXrTC6hLm6ZXcdnzI9eZJDecDvFOJuEJgbCQ+POrA+Ehwk0UB+3pS/cO7TNI8osozfcTm3cggJNTE9fzmB4NLtYLbA0+R2RMg1xV8osoz05h0EeZW75I1XdBNvSF9Abbq1Mn74s+T2F2EqBFpYlf4IxXQtG12tVNMdDeTr+uDJ7YnbNst0nLDv8ORt7ZnIwPEEvt1euQTK3/H6eDB+vvEYLCl9mevoqauJ8BsNjLE3+QIFmZpffOe45sjodSAfnVG6Pbrkq0ExD3LUyi1IhzqBuFcdPzUhfRU2cy9OFs0hDN0sKP2cgPEBTeggJjQyEh1iW/GXUteD2YXb5tKpB5CWWMRgen/DzAgVq4sYrPbFLQj3zy59ncfwJHcl5xDDIE4WP0ZoeTUPck4RGyiyhJ7mJrvDP7EEx0BB3rXTXWtF7NNF3vDUeQ6n8NEuT30BIWVz4MZTTykWNh79njen+zCq/nbEWFr5Of3ov9XEnAgk94T/0hKEZ5WLCzPKbqlprBsL9PF74MK3pcRSZRYmnWTbq8g61cWta0iNX6jXr5yHS0D3u9S+FRfSG2ynEadSyMQM8Pq7VYPh7Xxu3oMyyFX6np6UnUmJh5Tpgy5I/AJGGuBtllrC08AcCxarPdUItG5U+Wbmo8WB4jEWFb1Yuatwx1I03iU3MKX9gJMjSPel+qBBnEqihP9xbdV8aeugNt1Mft6Mv3LPcfVigyLzSx3iy+L/ZZyWUeaL4CaaXX0GRGfSH+1mW/JFaNmfGSo517Qv30h2uIYY+auIm9IaRfcLYcnVxW/oYmZa8O1xHT7iRQpxJHVswp/wenqSLviQ7kF5Q+Aoz0lOoiRszEB5iafJb6tOdmDZ0gdblvV6TfQ+np6dQCssqY3sXFr7JjPL/IxBYPOoES2v5WKaPvb5QSHmy8AmmpS8auih3ma7kysr1ikKsHTdGuCe5nif4BC3pERRoYzA8wdJk5GK0jenelWu+rUhfuJfIQGV24WHD33NgudeEyma+XTTut7x3qPt9fdxu3PiteeWP8CSfpj+5u3JduLb0BZRYlO0nyMaGziq/g8ZRPRzq2IaZ6esqs6j2JDeyJP6iclHjsb0fhr+7w3UIFJiWnlQ56dUf7mNp8jtq4+Z0JBcQqL5Mxtjfo1X53kJ2UeFljExq0plcQkgTliV/JMTalbr0QG+4lTLtDI6ZiGggPEpXuGpc+fKoWYyHf1vGvsf94V7S2EsdW9Abbq9c823069cX7qU+bktvuP1Z3w+sz0JsW+YowA3YIAt4pOaNVcvq053ZuPzFFZYbbXr5lcsdJ/Fg8eVVMzCNExMSGigwnbq4DY3pnjTHQ5Y76LbEEtqTv9GT3MggTxHpJ6GZ2rg5LelhtMSjJ+y73B2uZVnyJwbCw6T0EqilNm7KtHRkoo0SS1hc+Am94RZSOikym8Z0P6anJ/NQzfjtnF5+JQ1xF54ofmTCuhbjHDYv/YSHi2+YdLr4+aXPV82k1h2uoSO5hP5wL2U6CCQUmUVDuitt6QsnnK48Us5mmwsXD/0QRWqYT2v6fPrDveNaIofrtaoWJz+tHOzOLL+JaZMMkF3R52frwZGAlNJPZ3IRXeHqofeom0AdNcynKd2HtvSFlTPFY0XKPFT8f6ShnRDr2KJ0dtUZtY5wAYuK3wGgtXw8s9O3TXWTq6T00plcRm+4if7wAGU6iAyS0ERNnEN93JGW9LlVF30eqcslLCqeMem6VzQl+2QGWUhncgl94TYGwmOkdBFJSWikyCxq42Y0pDvTGPeqmk78mXzH+7mf9sK59IXbKfE0kTIF2qiP29OSHklT3K+q/ACP0plcSn+4j8HwBCldle9ikVnUxx1oTY+rmiq4I1xIX3Ln0Ou8pNKaXaCZmrgpTXG/rNV7Jc+gPl74MH3J5C3VLemRzCm/h4WFb0zagj+/9Hk6k38s9/7R3+m+cCcdyQX0hjuGZlpLhvYtezItPWnCqaxT+uhMLqEr/IuB8BAp3STUDZ3c2Iu29Piqabl7wy2T7oda0iMpxjksneSaXJsN/njSz8DYfUWZLjqS8+gO12YHdvSS0EBN3JTmeCCt6XEr/V5MtF8cvU9YXrlho3+3Iind4So6k8vpD/dRpiO79k+cS3M8nNb0eZW6Le/1guV/D3vDrXQkF9AX7qI81IW2wPShz+/zq68hRTb5UnbB6Psohaco00Wkf2j/Npf6dCfa0hdUJniJpLQnf6E/3E9/eDC77tbQOLQCrdTGLWhOD6IlHrXS43SW9xoOm+i1H7YkOXvSzw9kn6HRYzOHRcp0hcvpSv5Jf7ifMl0EaqhhDg3pbrSlJ0w4tTpkl3tZlvyZ/nAPKf0UmUlTegA1zK1cTHyyOkQi7clf6UjOZ5AFJNRSG7diWvoS+sM9E27L2O1fle9tR7iQjuQCBsJjQ8cm9dTGLZmevrJy0eblWdH+aTKzS+8GmPS3Zfh7cn/NCRPeP/w9X9H9w1bnfmB9ZtiSJEmSpBw4ZkuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHHhR45WUpilP8CQtNBNCWNPVkSRJkrSGxBjppIv5bESSTN5+ZdhaSU/wJJt2Tn5VdUmSJEkblkdbbmcTNp70fsPWSmqhGYBHH32U1tbWNVwbSZIkSWtKR0cHm266aSUjTMawtZKGuw62trYatiRJkiStcHiRE2RIkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTlwLAlSZIkSTkwbEmSJElSDgxbkiRJkpQDw5YkSZIk5cCwJUmSJEk5MGxJkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTlwLAlSZIkSTkwbEmSJElSDgxbkiRJkpSD4pqugCRtyHb5+S5rugobvFtfe+uaroIkaT1ly5YkSZIk5cCwJUmSJEk5MGxJkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTloLimKyBJkiSt7b728hPWdBUEvO+356zpKkyJLVuSJEmSlAPDliRJkiTlwLAlSZIkSTkwbEmSJElSDgxbkiRJkpQDw5YkSZIk5cCp39dRW3z43DVdhQ3eQ188Pt8n+GRbvuvXyvlk+5qugSRJWkfZsiVJkiRJOTBsSZIkSVIODFuSJEmSlAPHbEmSJD1D333rpWu6Chu8d/zgiDVdBWkcW7YkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBys0YsaX9n3de4q/Z2ny/dSDPVsWtiXo+o/xazCtpUyf+l5G/8d/HXV4zYu7M2bmi+p3C7Ffi7q+xi3Df6RUuxjy+KhHN/wNVqTjStleuMyLuj9IHcPXgDA9jXP59iGL1MfpuW7kZIkSZI2SGs0bD1cvpp9at/E/MKepJS4tO+z/LL7JN7ech21oalSbpviUbyw4buV2wVqq9ZzQd/p3DN4ASc3/oSGMJ2Lej/Gr7pfzqnNV5CEAgB/6nkTHekTnNL0BwDO6X03f+55C69s+u2zsKWSJEmSNjRrNGy9uumPVbdf2PBdvtq5DU+Wb2bz4kGV5QVqaU7mTriOvtjOTQO/4KSGM9mqeDgAL248i2907sQDpcvZpuZIFpXv5r7SJbyx6RI2Ke4NwAsavsmPu4/m6fK9VS1pkiRJkrQ6rFVjtvpjBwANYXrV8odKV/GVjm34dude/K3nNLrTRZX7nizfTMogW9ccUVnWkmzEnOQ5PFq+DoDHytdTR2slaAFsUtyHOlorZcbXpZ+O2DHqr3O1backSZKk9d8abdkaLcbIhX0fYbPCAcwp7FhZvk3xaHaseRHTkk1Zmj7MZX2f4+fdJ3Jq8+UUQx1d6UIK1NIwZuxVUzKHrrgQgK50IU3J7HHP2ZTMpitdOGF9vtD/dT7V/6XVt4GSJEmSNihrTdg6r+8DLCjfzhuaL6havnPtiyv/n1PYkfmFPTijcxfuLV3Ic2pOXM4aI4FQuTX6/5OVGe30uvfy3rp3VG53xE427dxppbZFkiRJktaKsHVe7we4Z/B8Xtd8btUMghNpSeYxLdmUxekDADQncygzQG9cVtW61Z0uYpPCvpUyE7VgdadPT9jiBVAX6qijbhW3SJIkSdKGbo2O2Yoxcl7vB7hr8Bz+X9PfmJ5sscLH9KRLaE8fpyVkE2ZsVNidhBoeGLysUqYzfYqF6Z1sWtgPgE0K+9JPB4+XbqyUeaz0b/rpqJSRJEmSpNVpjbZsndf3fm4d+D2vaPoVdaGZrnQBAHWhlZrQwEDs4vK+L/KcmhNpSeayLH2Ef/R9hsYwkx1qTgCgPrSxR+1ruKjvYzQkM2gI07i49+PMSXaszE44u7A92xSP4u+9p3FCwxkA/L33XWxXfJ4zEUqSJEnKxRoNW/8e+DEAP+8+oWr5Cxu+y+61pxAosDC9g//2/Ia+2E5LmMsWxUM4ufEn1IWWSvnn13+ehAJ/6Hkdg7GPrYqH8srG31SusQXw4oYfcn7fh/hFdzYGbPuaYzmu4cvPwlZKkiRJ2hCt0bD1ibZly72/JjTw6qY/rXA9xVDPcQ1f4biGr0xapiGZzosbz5pqFSVJkiRplaxV19mSJEmSpPWFYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwU13QFJElan925w3PWdBUEPOeuO9d0FSRtgGzZkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcrNmw1fd16HoutG8CHdtA96ugfG91mRih7wvQsQO0z4Ou46F855gy/dD7AejYCtrnQ/crIH18TJll0HMqtG+W/fWcmi2TJEmSpBys2bBVvhpq3wTNF0PTn4EydJ8EsXukzMA3of970PBlaL4UkrlDZTpHyvSdDoPnQuNPoPn87PHdL4dYHinT8yYo3wZNf8j+yrdBz1uetU2VJEmStGEprtFnb/pj9e2G70LnNlC+GYoHZa1a/d+H+vdBzYlDZb4PHdvCwB+g7vUQ22HgF9BwJhQPz8o0ngWdO0Hpcqg5Esp3Q+kSaLoEinsPreeb0H101pJW2PZZ2mBJkiRJG4q1a8xW7Mj+DdOHbj8McQEUnztSJtRlQax8XXa7fDMwCDVHjJRJNoLkOaPKXA+0jgQtgOI+2bLhMmP0x346Yseov84Jy0mSJEnSRNZsy9ZoMULfR6BwABR2zJalC7J/w5zqsmEOxEeHyiwEaiFMqy6TzIG4cKRMMnv8cyazhx4/3hf6v86n+r+0SpsiSZIkSWtPy1bfB6B8OzT+aII7w5jbcYJlY40tM1H5yddzet17aW99pPL3aMvtK3g+SZIkSRqxdrRs9X4ABs+H5nMh2XhkeTI3+zcuAOaNLI+LIAy1VCVzgIFsZsHRrVvpIijsO1Jmohas9OmJW7yAulBHHXWruEGSJEmSNnRrtmUrxqGgdQ40/Q2SLarvD5tDmJtNdFF5zACUrobCftntwu5ADQxeNlImfQrSO0eV2RfogNKNI2VK/86WDZeRJEmSpNVozbZs9b0fBn4PTb+C0DxqjFYrhAYIAereBn1fg2QrSLaG/q9DaITak4fKtkHta6DvY5DMyFq3ej8OyY4jsxMWtofiUdB7GjSckS3rfRcUn+dMhJIkSZJysWbD1sCPs3+7T6he3vBdqD0l+3/tuyD2Qu/7s66Chb2g6U8QWkbK138eKEDP6yD2QfFQaPwNhMKodf4Q+j4E3S/Obtccm127S5IkSZJysGbDVtuyFZcJAepPz/4mLVMPDV/J/iaTTM+uvyVJkiRJz4K1ZzZCSZIkSVqPGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQerFLZ6ayL/3ipy0W4pPbURgCemRzoa4mqtnCRJkiStq4pTfcBT0yI/fW6kfhCWNsHe90HjANyxSWRZE5x8bcijnpIkSZK0Tplyy9Z5e0T2eBDec05CsTyyfLsnAw/NXp1VkyRJkqR115TD1uMzYJ/7xrdetfRAV8NqqZMkSZIkrfOmHLaKKfTXjF/+dCs09q2OKkmSJEnSum/KYes5j8FlO0XKYWQyjGWNkYt2i+z02GqtmyRJkiSts6Yctp5/U6C7Hr7w4kipAD8+MvKNEyJ1JTj6v06OIUmSJEmwCrMR1pcCp14SuH9u5MnpEANstAS2WWDQkiRJkqRhUw5bw7ZeENh6weqsiiRJkiStP1YpbD02I/LgXOiqi8QxDVrH3bRK10mWJEmSpPXKlMPW5TtG/rFrZFYHNPWBnQclSZIkabwph61rto+cdF1gzweNWZIkSZI0mSn3+QsRNluUR1UkSZIkaf0x5bB10N2B67aLKy4oSZIkSRuwKXcjPOhO+MVh8LUTUuZ0QCGtvv9VVzlBhiRJkiRNOWydu1c2E+GWC6CxP48qSZIkSdK6b8ph66Yt4ZVXBbZ/wgkyJEmSJGkyU+7z1zAAMzrzqIokSZIkrT+mHLaOuDXwj10iAwUnyZAkSZKkyUy5G+G120eWNMMXT4pM744kYybIeMeFTpAhSZIkSVMOW895zLFakiRJkrQiUw5bR9xm2JIkSZKkFZly2Br2+PTIojYgwpwOmL/UECZJkiRJw6YctrrqIr89KPLQHKgfgBigvwa2XBB5+b8CTf0rH7r+WSrwlf46biwXeDIm/LmxmxfVlCr3v66ngZ8P1lY9Zr9CiWubuyu3+yO8v6+eXw/W0BsDRxZLfK+hl02SkQk8lkY4rbeBvw3WAHBizSDfbuhlmvlQkiRJUk6mHLbO2SvSX4R3nheY05GllYWtkT/uHzlnryxwrazuGNitUOb1tQO8pKdpwjLPLw7y04beyu3aMfe/u6+evw/W8JvGHmaGyPt6Gzihu4kbm7soDFXlVT2NPJYmXNCUhbRText4TU8jf2/qWfkNlyRJkqQpmHLYuncjeP1lI0ELYE5H4AX/hp89d2rTwR9bU+LYUS1ZE6kD5iUTr7c9wo8HavlFQy9HFcsA/LKxh007W7ikVOR5NSXuLCdcUKrh2qYu9hsq88OGXg7obubucsL2hXTCdUuSJEnSMzHledpjgInySRKz+1a3y0tF5nS0sF1nM2/uaWBhOvIkN5YLDBI4pmawsmx+Etk5SflXuQDANeUCbcRK0ALYv1imjVgpM5H+2E9H7Bj155WcJUmSJK28KYetrRbAuXtFOhpGWps6GiLn7RHZ6qnVWjeOLZY4u7GHS5u6+Vp9HzeUCxzR3UT/0FM/lSbUEpk+JuTNTVKeGkp+T6UJc8ZeDAyYk6Q8lU6++V/o/zptHZtV/jbt3Gm1bZckSZKk9d+UuxGecGPg7EMiX3tBpLUnEoD2RpjbDi+9ZvU2bb28dqTFaudCyt6FbjbvbOHcUpEXL6f7YQRG12SiWo0tM9bpde/lvXXvqNzuiJ0GLkmSJEkrbcpha1pP4B0XBu6bF1nUAgSY3Q7bLMh/ar+NksjmScq9Qy1S85KUAQJLI1WtWwvThAML5UqZBRO0YC1KE+ZO0OI1rC7UUUfd6t0ASZIkSRuMKXcjHLbNU4ED7g0ccE94VoIWwOI08GiasFHI+hHuVShTQ+TioSndAZ5MA7eNClsHFMq0E7i+NDI+67pSgXZCpYwkSZIkrW5Tn/p9z5SZXVnIGu3abSOLWyLH/2fl81tXhPtGtTo9mCbcXE6YESIzQuSTffW8pGaQjZKUh9KEj/TVMytEThqaEKMtwBtrB3hfXz0zk5QZIfL+3gZ2SVKOKmbdDJ9TSHl+cZA39zZw5tAU8qf2NnBCcdCZCCVJkiTlZsotW7dvCpstGr98s6ez+6bi3+UCe3S1sEdXCwDv7Wtgj64W/revngJwa5rwwp5Gtuts4bU9jWyXpFzT3EXLqJz3jfo+XlQzyMt6Gjmoq5nGEPl7U3flGlsAZzf0skuhzDHdTRzT3cSuhTK/aPQaW5IkSZLyM+WWrd46qB8cv7xuEHqmOMTp8GKZ2NY+6f0XrsRFh+sDfLuhj2839E1aZkYS+WVjL9A7aRlJkiRJWp2m3LI1ozO7sPFY92wE07tWR5UkSZIkad035Zatg+4OnLNXpLsustXQxBj3z4tcvQMc959nZ6IMSZIkSVrbTTls7fVAoJTAFTtFLt85mxVwWjeceENgj4cMW5IkSZIEqxC2APa7L7DffYHuukixDHUlQ5YkSZIkjbZKYWtYU78hS5IkSZImMuWw1VUfOX/3yANzobse4pj7P/PbVb5OsiRJkiStN6Yctv64X6S9CQ6/PdDSC7ZtSZIkSdJ4Uw5bD8+GN18S2GiZMUuSJEmSJjPlPn9tPRDNWZIkSZK0XFMOW8f9J3DRbpGlTWNHa0mSJEmShk25G+FvD4oMFuDrJ0RqypFCWn3/R//kBBmSJEmSNOWwddx/7EMoSZIkSSsy5bC154OGLUmSJElakZUOW33FlRujVV8yjEmSJEnSSoetz50cx1/BeLQARPjMbw1bkiRJkrTSYesN/zBESZIkSdLKWumwteUiw5YkSZIkrSznaZckSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJy8IzDVl8xcsfGkYWtK3cdLkmSJEnaEKz0bITDfnNQyhYLA/vfGxgsRL7/vMiyJogBXn417PSYsxZKkiRJ0pRbth6aDZsvyv5/xyZAgI/+MXD8jYHLd7Z1S5IkSZJgFcJWXw00DGT/v3ejyI6PQm05sP0TsLh5dVdPkiRJktZNUw5bbT3w6EwYKETu3Qi2eSrrNthbC8V0tddPkiRJktZJUx6zdeDdgd8fGKktwbRu2HJBtvyh2TB32WqunSRJkiSto6Yctva7L7DJEmhvhK2fgoSsZWtGNxx1i5NjSJIkSRKsQtgC2HhJYOMl2f/TEFnQBpstgoZBw5YkSZIkwSqErXP3TJm7LLD3A4E0RH50ZOTRWVBTglf/E7ZaaOCSJEmSpClPkHH7prDRsuz/d82HpU3wrnMDB9wNl+zq1O+SJEmSBKsQtnrqoLk3+/898yM7PwqzOgN7PRBYMG01106SJEmS1lFTDltNfbCwLRurde9GsPXQ1O+DBQg2bEmSJEkSsApjtvZ8AH57UKRlqHVrm6eyfx+bBbM7VmfVJEmSJGndNeWwdeRtCXPbI+2NsPMjUEyzlq0Q4dA7nBxDkiRJkmAVp37f+dHxoWrPBw1akiRJkjRslcLWg7MjVz0nsqgVAjC7HQ6+K7DFIgOXJEmSJMEqTJBx8xaRnx4RqSnBAfcE9rsnUCzDT58b+e/mzpAhSZIkSbAKLVtX7Bh53s2Bg+4eacU68J7A1dtHLt8pstvDtm5JkiRJ0pRbtpY0ww6Pj1++w+OwtHl1VEmSJEmS1n1TDlttPXD/3PHL75+b3SdJkiRJWoVuhAfdFTh3r8hT0yObPh0IwMOzIjdtBcfdaBdCSZIkSYJVCFv73Rdo6YOrdojculk2IcbsDnj51YHnPG7YkiRJkiSYYtgqh8gVO8GeD8Cpl0y5B6IkSZIkbTCmlJgKMXDVDpFoA5YkSZIkLdeUm6e2XgAPzsmjKpIkSZK0/pjymK1tnwhctFtkQVtk/tJAban6fsdtSZIkSdIqhK2/75NNivGvHQBi9Z0RPvNbw5YkSZIkTTlsfeY3TowhSZIkSSticpIkSZKkHKx0y9ZgIXL/XNjhiayb4EW7pZRGRbUkwpG3BGpSuxFKkiRJ0kqHrZu2gLs3jpWwde22MKcdasrZ/YtaoaUXDro7j2pKkiRJ0rplpcPWf7eIHHR3davVy/4VmNGdLbt5i8h1244vI0mSJEkbopUes7W4BWZ2jNwulmF0rNpkMSxsXY01kyRJkqR12Eq3bPXVZOOyhn3kz9U5LQLlwuqqliRJkiSt21a6ZautFxa2TX7/U9OgtWc11EiSJEmS1gMrHba2ewL+sWtkMInj7hssRC7bJbL9E6u1bpIkSZK0zlrpboSH3RG4dbPIGSdE9r8HZnVmy59uhWu3jaQhKyNJkiRJmkLYau4LnHox/H2fyEW7xZHZMSJsswBecEOguc+wJUmSJEkwhbAFMKM78NrLAz21kSXNQ8u6oHHAkCVJkiRJo00pbA1rHAg0LlndVZEkSZKk9cdKT5AhSZIkSVp5hi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHKzRsPXPA6/mBb95OfPv3IGwbBp/Of6cqvsjkU9++AvMv3MHGp6cx+HnHM/tO9xZVaa/tp93fvkDzLp/K5oen8+Jv34Fj81/vKrM0rZlvObMU2l7eDPaHt6M15x5KsvaluW9eZIkSZI2YGs0bHU39rDbrbvwnQ9+ecL7v/yub/L1t3+P73zwy9xwxKXMWzCXo/98Ep3NnZUy7/7C6fz5+HP5zRt+wlXHnk9XUzcn/PbllJNypcyrfvQmbt75Ni44+Q9ccPIfuHnn23jNmW/JffskSZIkbbiKa/LJj73kaI695OgJ74tEznjb9/no197Hi/9+IgA/f9v3mXvvtvzq5D/wlp+9nvbWdn78ml/wi7ecyVFXHA7AL089i01v34lLDr+c5116JHdudzcXHH0J1x55CfvduDcAP3zXNzngkqO5e5t72f6+bZ+NTZUkSZK0gVlrx2w9uPnDPDVvAcdc9tzKsrqBOg67+iD+td91ANy4+80M1g5yzKVHVMrMf2ojdr7zOZUy1+x7PW3trZWgBbD/v/ehrb21UmYi/bGfjtgx6q9z0rKSJEmSNNZaG7aemrsAgLkL51Qtn7twDk/NWZiVmbOQ2v5aprdPW26ZOYtmj1v/nEWzK2Um8oX+r9PWsVnlb9POnZ7J5kiSJEnawKy1YWtYiKHqdgxx3LKxxpaZqPyK1nN63Xtpb32k8vdoy+1TrLkkSZKkDdlaG7bmLZgLjLRwDVs4exFzh1qq5i2cw0DdAEvHzCw4tsyCCVqwFs16ulJmInWhjtbQOuqv5ZlsjiRJkqQNzFobtrZ8eHPmPTWXiw+/vLJsoGaAKw66mgOv2w+AvW7enZqBGi5+7mWVMk/OfYrbnnNnpcwB1+9Le1sH1+95Y6XMdXv9m/a2jkoZSZIkSVrd1uhshF1NXdy31QOV2w9u/jA373ILM5ZOZ7PHNuXd338bn3/f19j2ga3Y9v6t+fx7v05jTyOv+sPJALR1tPHGX7yG9332Y8xcMoMZy6bx/s98nF3u2JGjLj8cgOfcsz3Pv/go3vyt0zjz3WcAcOo338UJFzzPmQglSZIk5WaNhq1/73ETzz3nBZXb7/38RwF47a9eyc/e/n0++M130dvQy9u/+n6WTlvGfjfuxUUv/hMtXSNd+r7xkc9TLBd42c9eR299H0f+81B+9orfUEgLlTJnv/mHnPalD3HMn14MwInnHzvptb0kSZIkaXVYo2Hr8KsOIU5bNun9gcAnv3g6n/zi6ZOWqe+v59sf/Arf/uBXJi0zY9l0fvmWs55JVSVJkiRpStbaMVuSJEmStC4zbEmSJElSDgxbkiRJkpQDw5YkSZIk5cCwJUmSJEk5MGxJkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTlwLAlSZIkSTkwbEmSJElSDgxbkiRJkpQDw5YkSZIk5cCwJUmSJEk5MGxJkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTlwLAlSZIkSTkwbEmSJElSDgxbkiRJkpQDw5YkSZIk5cCwJUmSJEk5MGxJkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTlwLAlSZIkSTkwbEmSJElSDgxbkiRJkpQDw5YkSZIk5cCwJUmSJEk5MGxJkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTlwLAlSZIkSTkwbEmSJElSDgxbkiRJkpQDw5YkSZIk5cCwJUmSJEk5MGxJkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTlwLAlSZIkSTkwbEmSJElSDgxbkiRJkpQDw5YkSZIk5cCwJUmSJEk5MGxJkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTlwLAlSZIkSTkwbEmSJElSDgxbkiRJkpQDw5YkSZIk5cCwJUmSJEk5MGxJkiRJUg4MW5IkSZKUA8OWJEmSJOXAsCVJkiRJOTBsSZIkSVIODFuSJEmSlAPDliRJkiTlwLAlSZIkSTkorukKLFdfHfTXVy8LKbR2Zv+PQH8dDNRCDFAoQ0MvFNKR8hHoq4fBmqxMsZSVSeKztRWSJEmSNkBrd9gCSMrQ1D3xfQO1Wdhq7IEkzf7f3QQtnRCGygwHrcYeCBF6G7IyzV0jZSRJkiRpNVs3uhEmsfoPRlq16vugppS1ZjX0Zq1XA7UjZQZqszLFclamsQfSBEprf86UJEmStO5a+xNHmkBHS/b/YikLTknMQlVMsmXDwlCZciG7XS5kC2sGR8okMWsFKxeykDaJ/thPP/2V2x2xc/VtkyRJkqT13todtgrlkS6CMWRdAruasy6A6VCjXBgz9ioMBTEYKhPHdxccXt9yfKH/63yq/0urZTMkSZIkbXjW7m6ENaWRLoLFUWO3Bmtyf+rT695Le+sjlb9HW27P/TklSZIkrT/W7patsQJZa1eajHQNjIFscBYjt4dbu5I0e1CkunUrTbL1LEddqKOOutVXd0mSJEkblLW7ZWusSDbWKsShv7R6ootIdns4SBXK2cLRLWFpWKmwJUmSJEnPxNrdstVbn7VgJWkWkPrrspar2oGspaquPxvHlaQjU7+HmN0PWZnagZEyw1O/J2n1xBqSJEmStJqt3WErBuhpHOkaWChnk2MMT/9eO5Dd19swclHjpu7qLoP1fdm/w+sploauufWsb40kSZKkDcjaHbYae5d/fwDq+7O/5ZVp6Mv+JEmSJOlZsm6N2ZIkSZKkdYRhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKgWFLkiRJknJg2JIkSZKkHBi2JEmSJCkHhi1JkiRJysGGFbbeWAv/bYGnWuHyZjigsKZrJEmSJGk9teGErZNq4Av18NU+OLQLrinB75tgk7CmayZJkiRpPbThhK131MIvBuAXg3BPCqf3weMpvKF2TddMkiRJ0nqouKYr8KyoAXYvwBn91csvK8F+RaB/3EP6Yz/9o5a3px0AdHR05FjRlZf296zpKmzwcv8s9Md816+Vk/P7XO4t57p+rVje3+Wusu/x2iDv97l3oDvX9WvF8n6P+wYHc12/Vs7aciw+XI8YIyyno1yIbcvW/yO6eQHuaoVjuuD6UT96762DV9bAPl3jHvLJvi/wqf4vPYuVlCRJkrQuebTldjZJNp70/g2jZWvY2FgZJlg25PS69/LeundUbqdpyhKWMjPMIATHeT1THbGTTTt34tGW22kNLWu6OsqB7/GGwfd5/ed7vP7zPd4w+D6vXjFGOuliPhstt9yGEbYWRyhFmDsmJM0OsGjitFUX6qijbmRBAaYxLb86bqBaQwutoXVNV0M58j3eMPg+r/98j9d/vscbBt/n1SRAG20rLLZhTJAxCNxchsPHZMvDi3BdaY1USZIkSdL6bcNo2QL47gCc2ZCFruvL8Lpa2CSBnw6s6ZpJkiRJWg9tOGHrz4MwI8AH67PuhHem8LJueHT9nx9kbVRHHZ+o+1B1V02tV3yPNwy+z+s/3+P1n+/xhsH3ec3YMGYjlCRJkqRn2YYxZkuSJEmSnmWGLUmSJEnKgWFLkiRJknJg2Fpb3NIC1zfDlaP+th96e5a1QdMzWPfbamFWDhdi3r0AZzWs/vWu7b7VAAcUVu86O3aBzn2g8+Dsr/c9U19H+jB0bDX5/Z0HQ+xd9Tquj3reCaV/5f40W9yyCztcvw+7X3kwu195MG/9+iq8v5P45Ie/wPs/87HVtr6xHtrsYWbdP/Hn6nXfexvfefNZuT33um6LjhZuK1f/zB7e1cQ5g89sbqrQ3kbX0GjrM/prWZiO7N8/2VfH+3vrn9H6n0l9Rnu26/KzgRruKT/LhzUdLTD2Obua4Bm+x2vcRNsFMFAD3Y3Z/0sF6Bl1DNBfC53N2V+6CsccpcLKv259dfAsf85Hu3Pwb5zVeRg/6DyY73buy/91nUiM6Wp9jodKV3L/4KWrdZ1T8an2aQzErnHL10S9HipdyVldhz+rz7k6reN7g/XMa3uyWRJXt7fVweUleHqCX8Ph/eGqTJNycxlO3cAO3hPgtJy2ufHnUNgxn3UDtFyV37rXRbEMjd9+1p7uD6/9OTvfmeP7u4EpFUoUy/6EndFfx1HFEnNWaSe+fvnZQC2z6vrZrpDD76jGK5ahOOr3cKAWGnqz5auiVIQYoGbtvv5pV7qAc3rfy5ubL2VashkAT5ZvZuSA6plLY4mHSlcxELvZuuaI1bbe1WFF9UpjiSS4bx7Nlq11zVYJ/LYRLm2Cq5rhjbUj9+1TgPOGll/dDMcV4YN1MC/Azxuz1rJdEvhwXXbNsV80ZmXnBXh5TfaYq5uz9W80tNN4VQ38sRF+1JDdd1kTbD5038GF7PawY4oj9bqyGfaaoPXn0AJc1AT/bIZ/NcMpNSP3bTRUz+F6fHRoatJWstakq5uzdX9n6ExaEfhEHfyjKXu+HzdQuZD3a2rg2qF6XD1UlwB8uT5rQbyqGS5vpjL76fK2/w+N8IOGbFv3KsA5TfC8oR1JM/DNhqwOVzfD1+tHTmG8vw6uG9VSuekUd8QDv4euI6HzkKxVavCibHlMofcDQy1hB0HnYRD7Rh7X97lsWeceI48BaJ8Gw2epSjdB19HQeSB0HQGla7Plw61jk61jtNIVQ+s4BDoPgIFfjtyXPgHd/y9bf+eB0PfZobq3Z61JnQdmde95x9DyQej7ZFaXzoOh5w0Qlw29Dv8HnfsNtfodCKV/L/81GPjNyPN2vyyrC8DA2dD9Euh5C3QdDuUboet4GLxgqA6d0HPaUB0OzFoX4+DQa/oV6Nx3pOUxfWTl38fluODIS9jzikPZ9eoDOezc47hj+7sq9335tG+y0zX7s8vVB3LKWW+mvbUdgPbWdk7++f9jx2v343l/fDH3bfngpOt/9Zmnsvdlh7Pr1Qdywm9ezsJZiwC4/OAr2f3Kg3n7V9/HblcdxE7X7M+/d7+p8rjvvumHbPOfPTjkvGP50Wt+sdxt+O/Ot3HkX09kh+v34XXfexv9tf0AdDZ38uZvnsa+/ziCXa8+kLd+/T0MFge5av9r2OXqA6vWcdi5x/G3Y88D4MIj/sHB5z+fvS4/jP0uOZJ/Hnh1VZ1P+9IHOeCio/nzCefwq5N/z36XHMke/zyE3a88mPOOHvmsXnnAv9jl6gPZ9eoDeeeXP8Dmt+7Mbc+5A4B7t7qf43/7Mva59LnsdtVBfO+NPwKgt76Xl//k9ex47X7sdtVBHPOnk5a77c9UZ4Q39zSwb1cTu3Y289beegaHMtPX+2vZp6uJPTqb2berietK4/enn+6r44kYOLmnkd07m7l5qCXiiRh4QXcjO3Y2c0RXE0smaWX4QG89+3Q1sXtnM4d1NXHv0OMfSgOzOlr437469upsZpvOZs4b1eLwp8EiO3Q2c0BXE5/pW/4U0o/EwHHdjezc2cyJ3Y0sHdq+wQgf7qtj36Hnf0VPA8NzI/9qoIb9hrZ99zHPPba1cO+uJi4vFfjRQA3/Lhc4rbeh8phdOpu5ZtTrdmZ/LS/veZZ7Y6QhawkabvEZGPWb19GStdB0NWX/H6jJWoe6mrKyo9/zweLI8q6m6vtGG/34seXa20buH36+YaXCyGNWtsWoVMjKQ7aNaQK9DSMtX5PVuZyMLO9szl6DcpKFtcGakWW99dm/w8pJVu+JziuM3u7uxlVrWVtJnfEpEoo0hhmVZRsVdieE7DnP6NiFS/o+xU+7juVbnXtwTf93KuWeKN3Ej7uO5vudB/LDriN4ZOi3d1n6MF/u2Ior+r7ET7uO5bqBM/n3wE/57+Bv+EHnwVzR9yW606f5RfdJfL/zQL7feSB/7Xn7hPW7qPfj/LDrufyg82B+1nUci8v3Vz3HZX2f46zOw/hW5x7cO+r3/c7Bv/Gdzn34cdfRXNH35QnX/VT5lnH1mqjuD5Su4MddR3Nm5yF8r/MAbho6PnikdA3f76ze//+s6zjuHsz2//cN/oOfdD2fszoP40ddR/Jw6eopvTdrK6Pn2uTnjdA/6vYRXTA46nZCFnre0gv3ptAAXNIM/y7BwxF+2Qiv6cku2hyAtgDnleDVtdWtZscDBxfhsK6stes5CXy6Hg7vgicjvK8OzmiAl/dk5fcuwsGd2TXJPlEH766D94w6uAfYOoFvN8Bx3XB/mn2yGifYxv+W4fndkALTQha6LinBgghnNcJFg/DaoQtNzxzaWX6hAbojHNyV7WSHl59WB93Akd3Z7Q/Uwen18OE++GwD7NcJT8WsLnVkQfOwIuw3tJ5WYIAVb//+RTi0Cx6Y4GzpZxvgXyV419Ab9a0GOLUWzh6Ad9bB9h3QR/Zerehka89rqaS/+g9B8UioORlCyEJQ1/OgeCukd2RBp/k6CEkWYBgK3XEJFHaH+o/C4CXQ92GoOab6eeIA9LwGGr4JNUdC6ZrsuVv+s/LrACjsBk0XQChAuhS6DoXiUZDMg55Ts8fU/V9WNn06+7f3dAhN0HxVVvfh5f3fApqgeahrQt+Xoe8L0PAl6P0YtFwHyUZD4acf0lsnfg3Kd0Df/0Lz5ZDMh76vQu+7oel32XpL10LzP6Gw9fjt6f0YFA+E2m9BjNB7GgycBbWnQP+3ofVuCA0Qe1iV81Qn//y11Pdn7+8nvvQhDrp2f1591qlc9oK/s8sdO3H2S3/Hy376em478BrOP+pifnrK2VxzzEVMa5/GqWe8i498/DN89wNf5dMf/DKtnS3csf91PD1jMXtecRgv+8uLJnzOM07/ArOWzATgi+/+Bp/+4Jf5zge/AsDtO9zFj975bb73/q/xg9f/hI9+/DNc+JI/cctOt/G5932Nmw79J3MXzeHtX33fcrfrur3/zb+OuYiG3gZOOvsUvvnWH/DBb72L9332Yxz6rwP54bu+RSTy5m+dxndOPYv3fO8dDNQO8O/db2Lvm/fggc0f4p6t7+e4i47hgc0f4lMf+hIXnPwHWjtbuW/LBzjs3ON5aNdbALhlp9v5zge+wrc+lB0ILJ6+hFf+4WQCgYc2e5gDL3weD+9yK2mS8sofvYlfv+lHHHLNgfz5hL/znVN/CEA5KfOqH72JX7zlTHa4dzt6GnrY/5Kj2P/fe/Pwpo+ydNoy7tj/OgCWTFs65fd5rJN7Ghl96HpfOvLZeV9vA4cWS/ywdpAY4c29DXxnoJb31A3wmppB3luX7QuvLRV4Y28Dt7VUd+n53/p+fjJQyx8ae9h5qDXnL4NwXbnADU3dzEgir+hp4MyBWk6v72esD9X185UkO3L9zUAN7+mr55ymbL+3OCbsVSjz6fp+Lhgs8q6+eo6r6WJhGnhzbwP/aupm+0LKl/trx613tCtLRW5u7mJuEnl7bz0f7avnew19fKW/jmbg+uZs//2Zvjo+0VfPNxv6eF6xxCtrBgkhC34HdjXzcLGTmuUcP7+pdpBfDtTy/rp+ThhqGXk89vPdgVoOGGp9+e5ALd9tyKFnQs+YH7tR7zF99VAoQ1NPFgC6miFJR1p/YoDm7iyIdDdBfV92e6Ame2xzd/a4/jpo6s5+28tJVralc3xjSs0gDH1uKBWy8DPmc0Nz91Dgac7KD29DY09Wr4EaGJjidZiaerIg1NgDhXT5dR6ohWIJhj+TaYAkQu1A9no0DB1fDD+mrj9bx0BtVmbsNg/UQLkw8lwDNdl2D32WV7d5yS5sWtiHb3TuzBaFg9ikuB+71JxMazK/UqY7Xcjrm8+nJ13MWV2HsWlhfzYq7Mpve17DCxq+yTY1R/JI6Rp+3/Na3jn029sblzAj2YrDmj8EQH/sYCB2c0xDdrLymv7vMi1sxmta/pyVTyfePx1c926OST4DwG0Df+TCvo/wqqbfVp5jo8LuPLf+o9w3eAkX9H2YbWuOoTtdxN9738Ubmi5iVmFbru7/5sTbXtiVvWtfX1WvZenD4+reG5fx+qYLSEKB3nQpZ3YdyjbFo9iseABlBniidBPzi3uwNH2Ixen9bFs8hqXpQ1zR/yVe3fQH6kIrS8oP8LPu43lXyy3P6P1aGxi21iYr6ka4bQI7FOAno3bszQG2L8DcCHenWdCCLEws7xJqFw6OdCs8pAgXlrKgAfCjfnh/60jZa0ojF3++oQynTrATfm4RLi5lQQugBHRM8LwzEvhOfRbOymQXmt4hga4y7FuAF3WPlF089JzPK2ZBKI5ZfnwRWgK8cOjsXA3w0NDzX1mCHzTCBYMj9Xoozcp8tyG7/8JSdlC9ou2/tjRx0Bquwz4F+J/hkAQMROgE7i9nAfLSUhYin1hBN5+x3QhLN0H/m4daZgoQF0P6KCRbAIPQ+w4oHgLF50GSDL0+TVBzfPb44j6QTtDqkd4LoSYLWgDFAyDMgvLtkMxduXUApEug738gvX+ofksgvQtCM5Svh6a/jJRNZg1t04VZEArJmOXnZi1Lg38desDg0HaSbWPPW6Hm+VA8GgrbTP4alK4c+v/Qj17dm6Djq9n7DFDcf+KgNVyH8g1QOQvZB6EWaMke03MqFI/IQmSy8cTrWI6x3Qj//vzz2f3WXdjljp0AOOX3L+MdX30/T859iksOv5xTfv9SprVPA+BtP3kDr/jxGwG47JAr+fYHs7Axa8lMXnzOCZM+59kv+x2/ePlv6a8doLehl3kL5lbu2/7ebdn75j0AOOCGffjqO7MulZcffBXHX3QMcxfNAeDUn7+W353050mf4+V/ejHN3c0AvOGXr+Z7b/wxH/zWu/jL8edy7T438LX/yV7P3vo+ageyA/PX/epV/OxVv2Lvm/fgZ6eczSm/fynFcpELjrqE+7Z6gEPPO67qOR7d+HEAtrtvGw6+9oDK8gc3f5hTfvhmHpv/BMVygadnLubhTR+lp7GHhr56DrkmO4N60jkvYNqyrNn77m3v5fYd7uIVP3lDZT2dzV3csf3dHHjdfty17b28/avv47CrD+K4i4+edLtX1uggBNmYrWF/KRW5tlzga0MhvBeoDdln9aZygc/11LE4BorAHWnCQITalThhf2yxxIyhEHVAocyt5YlbQS4qFfn2QC2dMZACHXFk5U1EXjgUWg4olrh/KEBcWy6wZ6HM9kPbdGrtAB/qm7y16IRiiblDdTm1doCXDQWTv5SKdMTAHwaz/fcAsHWSrfPBNOGU/joeSxOKwNMx8HCasM0Uuwe+umaQT/TVszAN3JkmBOCQVe3itjzDAWPYqPeYUhGah8JOErNwUyqOhK3hsFMoA6H69nBoG6zJ/t/VXP28MUAY87tSLkBPXXYfZI+LjASUyvrTkXUMr2e4TrWD0PsMu6Uur87FUhaGhrezOEm3wUKa3V8qZmUGa0Zey9FKxexv7HPlJISElzX9gqfL9/BQ6WruK13MlX1f5dTmy5lRyMa37lH7GgAak5nsUHMCD5auoCY0UAg1bDP027tZ8QCawiwWlG+nJZlLkXp2rjl50ufdpLAP1/Z/nwt7P8oWxYPYunjkhOXuL13K9QNn0R+7iKT0x87KfTU0scPQ7/smxX1YMvT7/lj5BjYq7MaswrYA7FX7Wi7p+8RKvyZj696bLuFvff/D4vR+Egr0xCUsSu+iJZnHbjWv4ubBXzG/uAc3D5zNLjUvJQlF7hu4hCXpA/y0q3r/3xEfX+l6rK0MW+uSQBY0DplgZ3PMFN/KUZmGwPLHbI0+IVrmmX1qvtGQBaDXDJ15u6IZ6lexuT8A7++Ff07w4/nqnmwCj4ML8PtG+Gw//GkQ9u+Cg4pwSAH+tzlriVvR9ncv574AvKo7a1kc66hu2K+QtSJe3Axv6oFrpvBD3/sGqP8M1AwdTHdsQRYA2qD5WihdDeUroevT0HRe1sIURgfhAtkbNtboX96xG8NKroOsm13N86H2F1nrW+eh1d0ZpyRCw1eheNj4uxp/CeWboXwV9LwU6j4GtS+Z+DWYdNuGLW+mmQhNvxoJeVUPuwTK10HpqqzrZOOPslawZyCGSIjj6xpimPC+4dtx7MHVJK7a/xq+8+Yf8q9jLmL24ln87djz+PQHR7qGDLeyARTKBUpDBzwru/7JjK7nX171K7Z6eItxZf7fb17BHv88lK9+/DP8/JW/5ryX/r7ymOf/40j+761njnvMI5s+SnN39fv3ip+8ga9+/DO86NzsOzLjwS3oq++b9LUdfo5Zi2dy8yETj2G8Y/9rufTQf3LJ4ZfzwU//LzcffBXTh0Lv6haBvzR1s1VS/ZoPRHhJTyOXN3exVyGlI0JbRxsDVNqwl2t0S1qB7NzXWI+kgdP66rm+uYutksgt5YQjRr2+9aM+B9leIFTq/EyMHib8vYZejpgg/Lyit4Gv1vfxoqGwN6OjheE9SzHEqj1S3yTvM0BDgNfWDvCjgVpuKhf4n7rxrXtr3PDrHMbeHvNKF0vQuIJWuUjWQtXclQWVCHS0VZcZvd5n+F1focnqnJSg0JUFpIHa7G+yVqjagez+NMnWl0xQ5xiyFsHawfH35WhWYTtmFbZj77rX88vul3B36TwOKPzPJKWzA40wwe/T8LKa0FjpijiRTYv78tbmK3mgdDl3Dv6NS/s+y1uaryQJIydT2tNHOb/vQ7y5+VKmJ1uwoHwbP+8+sXJ/cdTve0KB4W9TfIbf7LF1P6f3PWxX83xeVvsLQgic2XkopaHjg91qX8GZXYdyTP1n+O/Ar3lV0+8rddimeCQnNY7f/7enjz6j+q1pjtlal9ybZmebXjGqn/WWSdYd77oSbJdkrUOQfa+nDX3wOyO0LucA9IoSHF2EOUNlXl+XLZuKf5TgqGLWYgVZIGudoNy0AI8OnVE7sAA7D5XvBq4tw9tHHUoMdxc8v5R1GQwTLH97XdZFD7J/d0iyI4Mtk2wCj+8MwF8Hs7FWMwM0BrisBJ/uh0fSrPwz2f7zS/Ce+uw5IRsztmWSjeWaE7Jw9ZX+rHVs1ynOYBiXwdDgWwZ+OzKGKX0668pWcwTU/W9WJr1rsrWMl2yXdSUsXZHdLl0H8empT84Rl0GyaRa0SldDelu2PDRDYX8Y+N5I2eHugsVjsy6Dw7M2VS3/3lAXPbJ/y3dCLGUta8U9oO6dUPPCbKzVZK9B8TAoXQzpgmw9/T/Nli3nB6yieCz0fSN7zuHtKz+QtbjFhVm4qv9g1jpWfubdGg64fl9u3uVW7tzubgB+8+I/ssnjGzNv4VyOvuy5/ObFf6KzOTsjedZrf85Rlx8OwJFXHMZPTzkbyLq5/fmEcyZc/9Jpy2jtbGHG0ukM1Axw5ut+tlL1eu6Vh3De0RdXxnf9eAVjtn7/or/Q3dhNOSnz01POrtTzxPOP5Yvv+QalQvZ6Lm1bxn1bPgDAxk/OZ++b9uDdXzideQvmstNdzwHgmEuP4IIj/1EZWwVw/Z43TvrcS6ctY4tHsu/IL1/2W5ZOXwbADvdsR3djD1fvl42H+Otx57JsWjbmbft7t6Wxt4H/e8WvK+u5b8sHWDJtKY/Nf5wQAyeefxxf/dhnicCjmzy2Mi/bKjmxWOKLffWUho5zlka4r5zQR9aDfNOhg+Fv90/epas1RNqXEzgm0x4DtcC8EIkRvrOc5xjtgEKZm8qFyqx/PxpYfvw7t1SszJb444FajhoK9ScWS3y9v46eoW3viXD70DqXxsAWQ61cvxyoYWkcOVTZOkm5bqil7vpSgbtHddmb6LV4R+0A3x+o5YpygVNqnt2DcSALCMOvURqy1pnJWnKWt45SsXp2wMnGbMFIiFrJ95QkzQLL8DoHizzjyR6WV+dyktWxdjALScMtryGOtMiNXk+aZNtSOzDxc9UMDgWyocdGJp5JcTXpSJ+ojLWCrMvcsvRhpidbVpbdPJDto3vTpdw1eC5bFQ9jVrIdpTjAg0O/vY+WrqM7Ps2cSX5760ILfXGki9DS9CFqQxM71Z7EsQ1fZnF6PwNUn3zvix0UqKU5zCHGyPX9P1ypbdq0sC9Plm9hcfk+AP4zMPl+f2y9JtIXlzEt2ZQQAg+XrmbB8PEB0JrMZ35hDy7oO53mZC5zCtn+f+viEdxX+gcLyyP7/8dLk+//1yW2bK1Nxo7Z+mBvdUtIGXhFD3y+PhsPlJC1dL25B54ka835bH3WtS4Cn+vLwsAP+rOuc73A2yc4e3RXCp/ugz8PndV8LIV3T7Ff+4MpvLMXftyYddUrk63jP2POWn6yD75WD+8e6vb471H3v6UHvtwA19Rmjz93EL7QDx/phc83wDXN2RHIf8rwrl74Rj98qC4btzbsjP6sy993G7JgVwaeTuEdvbBJgG8O1S+Qdbm8uJSd9l3V7T+9Fz5Zn02AEcnq94le6B+a7KNxaOd/fwq/nuSHYjL1X4TuV2dd4gr7QNgkWx4fg553DT1ZhMK+Wfe6+MTKrTfUQuP/Qd+HIJ4OoR4af5aNpYpPT6F+n4S+90H/GZBsD4W9R+5rPBN6PwgD+wOFrFti/Ueg4fPQ+xHoOgCogcKe0PgtqHsP9H8Juo4aWUfduyHZKusqGJdl60lmQcN3J38NQg3U/y90D01skGwCDWes3PY0fGFoko5DyD4gNdDwKYh12Zi24SCYbA21r1z512kSsxfP4hdvOZNTfvhmyoUy09rb+N3rfwrAsZccza073sEBFx1DiIFdb9+J773/qwB8/Csf4A3f+R92vHY/Nn90U46+7LkTrv/Yi4/mly/7HTvcsA+bPDGfA6/bjwuP/McK67Xr7Tvzka+/lwMvOoZ5C+Zy/EUTjNcb5dB/HciLzj6FRzd+nP3/vTfvPOtUIBsv9qFPfpLdrzyEJAZqBmv40ic+xTYPZt1sXn/2Kbzs56/j++/5emVd2z6wNb889Sze9K3T6G3oZaBmkD3/uxtnnzrxAcM3P/xFTvrlq9n4ifkccMM+bPZo9h2pG6jjV2/+IW/9+ntp6KvnuVcewtwFc2jraKVYLvL3V/yG93z+I3z1nd+mnKTMXjyTs9/8Q27d8Q4+/MlPEkMkDZHX/Pbl7Hr7zit8zVbVGQ29fKivnt27mknIdk1fauhlmwCfru9j365mNktSTlxOSDitrp/X9zbQCPysceXHqOxSSHlpzSA7dbawWZJy9EoGgDlJ5KyGXl7Q08jMEDl5BQHmyGKJN/Y28GCasFWS8vOhOn64rp9P9dexX1dz5bD+Q3X97FRI+WZ9Hyd1N7FxknJAocxmYaSL3ufq+nltbwM/Hqhlz0KZnZKR+06tHeB9ffV8pb+Oz9f3cVxNiU2SyO6FMtslaWV3/Kyq78u6zHUO/U7V9U99tr5Cms3y19swEkYKY2YChGy3Vd83Mi5sZcNlIOsK2duQBZ5CGUa95qtkeXUerMn+htUPtVsOh6bOobFk9UNjtYZbtyZ73WoHs+cY3fJdOwCFKf7mrqSUEv/s/zJLex+mhgZSyuxW88pK9zyAtmRTftp1LJ3xKfarewsbF/cC4GWN/8cFfR9iIJ5OMdTz0safURua6Jngt3eHmhO4ZeA1/KDzYJ5T8wJak425tv97BBIiKUfXf5r6UN1yObewEzvWvJDvde5PW7IJWxUn/n0YqymZzQsazuDXPa+gIcxgx5oTJy07tl671b5iXJkj6z/JeX3v46r+M5idbM/Go48PgN1rT+EPPa/j+PqR/f/Mwta8uOEs/tZ7GqXYS5lBNirsxouLKxcY12Yhti1vYI8kSeuezuZOWrpaALjskH/y2u+9nYd2vYUk5nfGW2ufrgg7dLZwZXMXW07UBU1rv+7GLHw9y90EV9UZHbvwqqbfTtpipQ2PLVuSpPXOH0/8G994+/dIQ6RuoJZfv+lHBq0NzA/6a/lsfx1vrx0waK2LhmdTnEornbQWsmVLkiRJknLgaT5JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJOBjr0y5Y+O1a4LepU2Rj70y5clpa1e9JEkrx+tsSZLWiD/ul3LTVtn/kxTaemDHR+HIWwO15bBmK7ca/OiIlI2WwfH/Wf55zeWVa+uBD/050NifTx0lSfkybEmS1phtn4AXXxcoJ/DwbPjLvpHBYuTEf48PW+UQKcR1P4RNRRIDLX1ruhaSpFVl2JIkrTHFFFr6sgA17WF4YE7kjk3gxH/DP3ZOuXMTOOCewOU7RZY1wad/A+2NcM5ekQfmQgC2fRJOuDHQ3DcSxK7bJnLVDpGORpjeDYfdHtjjoZH7n26O/Hm/yOMzYXoXHP+f6hD3wJzIT46MfPQPgYbB7L4np0W+e2zkfX8LTO/Olj08K3LxbpHHZ0AhhU0Ww8uvDpy3Z+ShufDQXLhm+xSg6nEra2lT5GsnRt5xfmCjZaFSr9dfGrhwt8iiNpi3NAussztH1n3X/Milu0QWtkFLL+zxYOCw29ngwqokrWmGLUnSWqOmDOmo3nRLmuG2zSKvvCqQDA1bOvuQSG0J3viPQJrA3/eO/ObAyJsuzYLEHZtEztszctx/AlsvgLvnw5/3i7T1wFYLAymRXx8SaeyHt1wU6KuB8/ac+pioJ6dFfnpEZM8H4PgbA0kKD86FNGTh7emWyNz2rFskQNNq7Ap48a6RY28KNPXDX/fJguOpl2TPc++8yO8PiBz/n8AWC2FJC/xlnwgEjrht9dVBkrRiTpAhSVorPDYjcssWsNVTI8vKCZx8TWD+0sC8ZYH758GCafDSawIbLw1sujhw8jWBh+Zmjwe4aofIHg/CfvcFZnUGDro7sONj2XKA++fBotZsvRstC2y5KHD0LVNv8bnyOZH5S+DEfydstCwwtyOw/72BpoFA/WCgkGbhsaUv0NIXSFZjq9LRt2T1ntMROPSOwCOzYXAojV6+U+TQOwN7PhiY0R3Y5qnAUbcGbtjaSTYk6dlmy5YkaY25ez58+uSUNIFygOc8nnUJHDatB5r6R24vaoXWHpjWM7JsTkegfiCyqBU2WZKV2fv+6mCz2aLANdvHyjraeqCtd6TMZk9Pve5PToedH5n641aHectG/j88pqu7Pnu9npgBj8+IXLHjSLhKA5SKMFCI68XkI5K0rjBsSZLWmC0Xwok3ZF3wWnvHjymqKVWXzzrDrVgY24gThh48/P+xxpQf93iyVraqupVXoiI5SdKR/w/Xdfili8CRtwV2fHT844prsM6StCGyG6EkaY2pLcHMrsD0nrBSkzfM6cgmyFjWOJKGFrZG+mqz+wBmd8DDs6vT0iOz4sj97dk6OhpGyjw6q/p5hsdXdTaMLHtyenWZucuyLomTKaQjAejZNH8pLGqJzOwK4/6SlYqqkqTVxbAlSVpnbP1UFnJ+f0DkiemRx2ZE/rB/ZIsFsPGSLEgcfGfgpi3h+m0iTzdHrt4+m+HwoLtCZR2zOuEP+0eenBZ5aHbk4l2rw9nMTmjrhkt3iTzdErl7fuTqHarLHHZH4PEZ8Le9U56aFlnUErlum0h3bVZuejc8OjObUbC7NpKObT4bpbsum3Bj9F9n/aqNsXrubYGbt8xmc1zQGlnYGrl1s8jFu6QrfrAkabWyG6EkaZ0RCJxyZTb1+4+OjFVTvw/b8fHAcf+BK3eInLtnFnpOui6w1cKsTELgVVfCn/eN/OCYyPTubDbBnz93JNwUYuBl/4K/7RP5zvMjGy+Bo24J/ObgkTKzOgOvuwwu3i1bT7EMmy6GXR8eCn13Bf64f+Rbx0UGi8NTv0+8XbdsAbdsUR2unnsr7Png1Fuitn0q8Jor4LKdI1c9J5KkWWvfXg/YqiVJz7YQ25Y5PZEkSZIkrWZ2I5QkSZKkHBi2JEmSJCkHhi1JkiRJyoFhS5IkSZJyYNiSJEmSpBwYtiRJkiQpB4YtSZIkScqBYUuSJEmScmDYkiRJkqQcGLYkSZIkKQeGLUmSJEnKwf8Hlabm2qQSOPUAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10,7))\n",
+    "\n",
+    "fig.patch.set_facecolor('#FF0FF0')\n",
+    "\n",
+    "ax.bar(p_gincome.index, p_gincome.values, color=colors_bar)\n",
+    "# Set the font size of x-tick labels\n",
+    "ax.tick_params(axis='x', labelsize=8)\n",
+    "\n",
+    "ax.set_title(\"A Detailed View Of Gross Income Across Product Line\", fontdict=title_font)\n",
+    "ax.set_xlabel(\"Prooduct Line\", fontdict=label_font)\n",
+    "ax.set_ylabel(\"Gross Income\", fontdict=label_font)\n",
+    "\n",
+    "for label, color in zip(ax.get_xticklabels(), colors_xtick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax.get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1aa3be2a-708f-46d9-bb28-3281babdc385",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "6c32d116-4a41-47aa-bee1-5e7052622da6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Data for City and Branch count\n",
+    "branch_counts = df.groupby(['City', 'Branch']).size().unstack()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "a837d47c-18c3-4038-9316-2100c5e847fc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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B/q9iPv+ta7uHbzAQYFRSFjdmDuY/3feioLE3riRJUrwxvJUkSXGpZT9OgOFt3MSsLWMTu7F/Ujb9g6ntXVabHqyO7n17cHJ3hiakMym1gAWhqqZVuFvi9TZe/7CEzXv9IxMz2T8pO+qt52tarKpNbGOVZmIb8d2Gws4N2ZYAsKO9Ubea8aunc1P5XF6vXcXaDby201PzOTw5d4vPf05aAcFAgNFJ3ZiWO7bVo6CN8H1S6oZvoLetLk/vx5BmrRDerl3N1Wu/5qXaEt6rK2NRw9b39m2pigYerV4ete/k1F7kBBKZlJrPe7WlrXr0QqRNxYTVn3BHxUI+riujto0/KiQFgtyUOZgegQ3fnKwtq8P1nF72OReVzeTf1UUUbmD1br+EVG7MGNzmMUmSpFizbYIkSYpLz9as4Ifp/dgpYX0Ae3BSd4Kw0Tc475yQxr9yRgHw3bIvKWzHgGpDnqpewVXpA6JusnZdxkAOSurObysXbNU5368rY0bdWkY3vq0fYGxSNzIDCa1uPtVct0AC/8oeSWoggcnl3zInFFkV/GV9BQcnr19dmN3GW+Tb2vdlixXANeGGqLfnJ7SIazPisLUFRNoHFCSksDBUxSPVRTxSXUSQyI3MTk3tzVktbta1d2I3XmsjQN+QFIKcktKLJaFqflUxr80xQQLcmjmUzGarmccn51IQTGbZVtyQa1P2a7Gq963aju3r+lD1Ur6T1ofkxp+PtEACv8kcyq6JmfxwzaxW43MDiWQEEihsqOZPVYv4U9Ui0ojcmO7itJ3Yt9lNz9ICCYxMzOTNLehNOyCYSlm4nrfqSnmr8Q8ofYIpHJGcyw/T+0f9vo5tcYM1SZKkeOHKW0mSFJdqCfOL8m+j3lKdn5CyybdPf7exZcHc+sqtuglRXRtv4A80+3hx2k5MTO4RdbyaBv7d4i3hhybnUk8DT7ZYjbglbiqfS0WzoDY5EOR7LW4E1dJ5qX1IDSSwqqGOZ2rWvy3+6Zrot8jnBpNahbUDE9Kitlc11DGtxddwWUP0W/8zW4S1Lc/R0eparNRsHiUPS0jn4rSd2DkhjbFJ3ZjafQwHNAs0G4D/1q/lxvK5vNvixnOJgS1bQ3xcSh45wSQerFrKq7Wr2nxMrS3h8Zron4fEQKBVcNxekloE6y3bYmS1c9C+vKGWF1vcmO2IlB4sD9XwSm1Jq/EXp+3Ey93HRP0MVdHA67Wr+E7ZTMobWq4W37Lvyb9zRjG5WR9egKUNNTxUvYxbWgTsba06lyRJigeGt5IkKW5Nq1vNz8rnRL2V+sbMwey/gVVy56UWcHpqPrXhBn5aPmerbkG0qqGOmhaB4LqQs18wlZ9mDOKolLxWz/tH1dJWb/n+T00xpW3cBGxzfRmq4Io1s6JCrEvT+nFiSs82xx+Z3IMr0vsDkeC3+Qrd52tW8naLlZdHt3gdR6WsD6UbwmFuLv82KjwGWp1jaLO35QeB4zdQW0dpuWK1eSB9dEoeP80YFNUr+cr0/iS3EdRltGgj8WFd2RbVMSm1gDUN9Txas/Gw/oGqpa16vJ6Rmt8h4eE3oei+0Xskrl/FnUBkJXt7u6+NG7A9VrOcDa0VTw4E+Z/Gn9nmUgJBkpp9T2rDDXxat3aL6zkyuQejm73udVquEP9gC7/fkiRJncW2CZIkKa49VbOCb0KV/CpjZ0YmZZEeSOCBbrszrW4179WWUhqup08whUOTuzM6qRvFDbX8aO3X/Ld+fdCTG0hiXFJ2VHi1zrHJeZSE65rCm3rCTK0tiQohL07biW6BRE5O7QXAyy1WFwKsDNfxQk1x0xig1Q2atsZbdaWcWDqDX2UOYf/kHBIDAW7LGsaZqfm8UbuK4oY6egWT2S8pm4OSu1PeUM8vyr/lxTZWOv5gzSz+X9YuTaHtzzIG0SuYzKJQNYcn57J3YyheEQ4xufxbptS2fp33VC3mmJQ8ejTe4OmklF4UN9SxMFTFMSl5bfbIPSw5lyUNNbxeu4q+wRT2SMxil2b9eAHSAwkcm5zHZ43ftz0SI9/r5nZJSG8as7hxBfC02lWUN9Q3tSLIDCZyffpAihpqOS+1D8UNtXxct4axSd0AGN24AvepmhUsDlWTEUjg8ORcRjceh8jNt17dzJYJ+zX2Ft4jKYsPaksZn9SdxQ3VfNbGDefWvfZ5oUp2ada/uWcwmSvT+/N1fQX/rV/LnolZG/xZ/SZUSUlDHeOSslv1gO2XkNo0Zk6okr9VLeGI5B5NbQyOT+lJSbiOefWVHJfSs9Ua83Xfg3X1H5acS1obaz32SMyiJhxZIVvV4k8kX4Yq+KiujH0af5bqw2Ee3cTvwXfSdmJUYhav1JY0/jwncUpK76b2HPXhMJPLv2VVuK7pa94jkLTBn4/368qaxqYEgvwzeyTP1KxgZn05teEwwxLTo1Y7LwpV8+sNtLqQJEmKtQAdf3NfSZKkdjE2sRtHpPRgTGIWfRJSyQ5E1iuubqhjTqiS12tX8VTNilY9YfdNyuaR7JEbPO+HdWWcU/ZF03ZmIIEfpvVjfHIufRJSSCFIVTjE3FAl/65ezhMbWF05IiGD57vvCcBX9eWcUDpjm19zy/Mfk5LHmKRu9A+mkh1MJIEAa8P1zA1V8U7tah6rXk5JY3C1IXsnduPU1F7sldiN3sFkUgJB1oZDzAtV8k5tKY9WF7FyI+foF0zhqvQBHJicQ7dAImvDIb6qL+fh6mWsDYfa/FovDlUzfvXHnJLSi1uzdtngua9b+w3AJsc81awNxMjETC5P68fIxExyg5FmAavD9Xxat4Y7KguZE6okN5DEcSl57JqYyfDEDPICSXQLJpJMkOpwiGUNNXxRXx5ZobwFN5h7JHtkVG9WgCerl3N9+ZxWYzf12te9to2N+WNlIR/WlW305/mPlYX8sbIQgL0Ss7gyvT+jE7NIDgQpaahjel0Z91Uv5bDkXK5sY9Xruvrf7L43fRM2fNO/Q1ZNZ0mLNhoARyTnck+3XQGYWlPC5Wtb97uFSNh6eHIuuyZmMiQhjZzGVh4BoDwcYlGomk/q1/BY9fKm3s3Q9te8uXPKvuDDujKOTu7B6KRujEjIoG9CCt0CiWQGEqmngVUNdcwNVTGtdjWPVxdRuVXr9CVJkjqe4a0kSVI7+ke33RmXnMMNa+ds8i300vYoALzafQwDEtK4sGwm72xBGC5JkqRo9ryVJEnaSgOCqa16Zy5sqGZtQz3P16yMUVVS50kg8nuQ0uyfFWEirQgWhqoMbiVJkraR4a0kSdJWei13by5I7dO03TeYwskpvXiiZrlvw9YOIT+Ywmu5ezOx2c3u9kzM4sDk7jxUtSyGlUmSJG0fvGGZJEnSNvhOWh+qwyFqCXNhWh/Kw/XcXbk41mVJnepH6QPIDCSQGkjgu2k7Ma++kn9VG95KkiRtK3veSpIkbaVbMocwJrEbfRJSqA+HmVG/lv+rmB91cyVpe5YVSOCmjJ3ZMymL3sFkKsMNfFRXxi0V81jWUBvr8iRJkro8w1tJkiRJkiRJikP2vJUkSZIkSZKkOGR4K0mSJEmSJElxyPBWkiRJkiRJkuKQ4a0kSZIkSZIkxSHDW0mSJEmSJEmKQ4a3kiRJkiRJkhSHDG8lSZIkSZIkKQ4Z3kqSJEmSJElSHDK8lSRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4pDhrSRJkiRJkiTFIcNbSZIkSZIkSYpDhreSJEmSJEmSFIcMbyVJkiRJkiQpDhneSpIkSZIkSVIcMryVJEmSJEmSpDiUGOsCJKml0SPOY/jgE8jNHsxr70/m6/nPx7qk7VJWRgFHH3wb2Zn9WLHqK5597dJYl9Thhg48mj1HnEde92FM/+IvTP/ir7EuSZKkHY5zvc6xvcz19tvjCnbufzjZWf145tVLWLrik1iXJEmdyvBW6uK6ZezE6BHnkd9zD8LhBoLBREKhWpaXzGTBkrdYsnw6DQ31sS6T5KRM9hg+iXmL3qSk9JuNjp0x6x98W/gq5504pVNqS0rMYNSwsxjU9xACgQSCwUTC4QZWl81jwdJ3KFzyDjV1awHo1WM3jj/0Ll57/yYWLJnWdI6xIy9hyfJPutRkcm3FMh57cRInHv6XTY7tltmXiQfdSmZ6Pqkp2RSv/hqApMR0EhNSWbVmHh9/8VeWrZzRwVVvmzkLXmTOghe5fFLX+T5JknZszvW2nXO9Tc/1muuRM4RRwybRq8duNDTUEwwk0BAOUbx6NguXvkfh0nepD1V3UNWtffDZnyhc9h4nHeEf3SXtmAxvpS5s4E6HcMT+v+KTmffy7qe/J9RQC0D3bgM5ZJ8bGbnLGXGzmiElOYuxIy9lTfmyTU7oO1N2Vn+OO/RPrCieyZQ3r6S6phSA1JQc9h11OUfu/7/Mnvc8r38wGYC6+irWViyjtq486jxjR14K/KVLTei3xJryxTz24iQO228ywwcfz2MvTmo6lpHWk+MPvYvjDr2TR/9zFmvKF8ewUkmSth/O9badc70ts/vQ0xk3+kre+fT3TJv+66Y/DGRl9OHgsdcz8aBbeent65i36LUYVypJOw573kpdVPdugzjygF/z5Zwn+O+sB5sm8wCr1yzgP9OuorqmLIYVxr+EYDLHHPIHqqpX88p7NzZN5gGqa0qZNv3XLC6aHvWc1WXzeOzFs7f7ifuWqKhayax5z5KUmEa/gnGxLkeSpO2Cc71t51xvy/QrGMdBe1/He/+9nVnfPh21onttxVJeevs6KqqKY1ihJO2YXHkrdVF7j/weiQnJfDb7n20er60r5+OZf2NtxZKo/UP6H8noXS8gOSmDhGAyy0tm8sGMPzWtljxo7+sZuNPBZGXk849nj2NtxTIKeo7moL2va9Un9KQj/k5OVj/S0/J49D9nMW70lWRl9iEcbuD9/97BwqXvAJE+o2N2uwiAfUZ9nz2Gnw3AK+/ewOo18zf6OhMTUzl47E/p1WM3umX0YdnKGbz98a2UVxYxfPDx7DPqMjLTe7O6bAFffPNvZs55vLHe68nN3pkVJTN56pWL2jz38MHH073bQKa++1Mg3OaYT7+6n+zMfgAM6nsoY0d+L+rr0KfX3hw45kcA7DbkVAb1HQ/ArG+fZfehZ9A9eyDllctZtOxD3vjwlyQkpHDqhPvJzupPeeVyXnrr2g1+Dfba9TsM6jueQCBIMJhIZXUJH8y4k+LVs4FIy4KTj/w7men51NZV8MaHNzNmt4volrkT1bVreGv6b1hRMjPqnIP7Hc6+oy4jKTGN8srlfDHn8Y1+/TdXIJAQ+STcAND0denebTBzFr7EipIvGTpgIjndBpCW2p2/P34IKcndGLPbRfTqsRvhcAOBQJAly6fz0ed/oa6+AmjZo/ZvQJh+BePITO/NkuXTeWv6b6irr4yqZfehp7P70NMJBII0hEOUVy5nzoIX+WbBiy2qDjJ25KWbPJ8kSbHgXM+5XmfP9fYddRm1dRXMmvdsm8dDoRre/PBXlK4tjNrfK3dX9t3jB2RnRb6OpWsW8v6MPzWtwG7e43jaR7+me/Zg8nvuQXpKd+YtfoP3Pr2dhvD6oDgluRsHjrmWAX0OpLyyiNVl8/l20ett1pSd1Z9xo6+kZ+5wGhrqqagq5qPP72Hpio+BtuaSDfTL34/u2TsDYe59Yvxmf30kKZbCPnz46GqPQPi7p08Ln3PCs1v0vN13OSN86VkfhgfsdFAYCAcDieEj9r8l/J1TXg1npuc3jRs26Pjw5ZM+CWdlFEQ9//JJn4THjrwkat/YkZeEL5/0SXj8PjeGg8HEMBA+YK8fhb97+rRwclJm07isjILw5ZM+CQ8bdPxm1bpu/LknPBfu3WP3MBBOScoKnz7xkfDZxz4ZDgQSwkC4V+6u4csnfRLedeeTo57ft/c+4ePG/2mj1zj2kDvCl0/6JOq1b86jra9DW/uCwaTwRae+Hj5i/1ui9iclZoTPP+nFcEIweaPXufi0aeGeuSOatocMOCp88WnTwhlpPaPGHbbf5PDFp00L77/X1U0/H0cd+P/C55zwbDgQCDaN69Nrr/BlZ08Pj9nt4qZ940b/T/g7p7waPvHwv2zWaz9sv8nhyyd9ErUvN3tI+NwTng+ffeyTUd9zIHzuCc+HLzjppfDuQ08PA+HkpMzwxae9GU5OygwPGTAhfOLhfw0nJqSGgXBiQmp44kG/DR914K1tfs3PO/GFcJ9ee4WBcGZ67/DFp00Ljx35/ahx++95Vfji094M98rdteln/OC9fxK++LQ3t+p8Pnz48OHDR2wezvWc660f1xlzvbSU7uHLJ30SPuGwu7foa9Uzd0T4kjPeDY8b/T9N+/bf86rwd0+fFu6W2bfV9/usYx8Pd88eHAbCed2Hhb9/1kfh4YNPiDrnCYfdHT73hOfCmem9w0A4O6t/+Iyj/xW+fNIn4T69xjSNy0zPD3/nlNfCR+5/S9PPy8hdzgxfeuYH4fyeo1t9/84/6cXwgD4HNdbTJ3zRqa9v4e+lDx8+fMTmYdsEqQtKS8khOSmTqqqSzX5OUmI6++3xQxYueZuFS94GoCFcz7uf3kZyUib7jPr+NtX05dwnm95aNWfhyyQnZdKrx27bdE6AxUXTWd64oqCmbi3Tv/gL3bMHMmzQsQCsWPUVJaVzGb7zCVHPG77zicya99xGz52V2QeAyuqOeftXQ0Mdcxa+xOC+40lOymzaP3TABBYsnhb19se2PDn1AlaumtW0PXfhy4RC1QwdOLHV2JTkTD798v7GrTBzC18lO7Mv3TJ3ahqzz6jLqKxexadf3d+0b/oXfyEhIWmLX9sZR/+TM47+J+edOIWzjn2UsrWF/Oetq1r1hwOora9gZuOqj9q6ch5/6Vxq6ypYtPR9pr77k6YbXtSHqvly7lPs3P9wUlNyWp2npHQOS1d8CkB55XKKimfQN39s0/FuGTsxatgkZs17lhWrvgIiP+MffnYXdfVVmz7fyujzSZIUK871nOu11NFzvfVfq1WbHNvc/nteRX2omo8+v7tp30ef3wMEGLPbd1qNX7J8OqvL5gFQvPprStcupG/+Pk3Hd+o9lr75+zBj1j8or1wOQNnaQr4tfLXVufYZ9X1SkjN599M/EA6HAPjim0cpryxin5GXthq/quxbFi6N/G6srVjKk1Mv3KLXKkmxYtsEaQeR33MPkpMymibH61RVr2JNxRL65e+3TedfvWZB0+fV1aUApKf22KZzQiRga255yZcA5OftwezGCfvsec9zwF5X073bQFavWUByUiZ9eu3ZdOOJWJr97XOM3OVMhg44ii/nPglE/rHx9sf/b5PPTUpIZcIBv6F7t4GEibQjSEnObnprX3NV1aWt+rhB5HtQtnYRgUCQ3j1Gsnj5h4QbWxtAJDAtW7vlNxhrfsOy5KRM9t3jB5wx8Z+88t6NUXdmBlhV+m3U9rq3bdbWVzCi/4kMHXg0qSnZhMMhkhLTAcjO6hf1egBKm/2MrXuNOVkDm7b7FuxLMJjAisafkXVq6tby0DNHt3oNq8vmR5+vtpScbgNbjZMkqStwrhcb2+tcr7nM9N4cc8gfAEhN6c6Kkpm89PaPSUxIpaDnaBYvnx4VVNeHqllTvpiderf+o/jqNuZzzX+O8nvuAdD0h/h1SkrntjpXv4JxlJUvbhXOl5R+y4A++xMMJEa1Y2g5Jy1r0f5BkuKV4a3UBVXVlFJbV05a2uZPmNetZKxp48YWNTVldMvsu0011Tdb2bhu8tnUB3Ub1NZVRG3X1Ebqz0jv2bTvmwX/Yb/RVzB88Am8P+OPDB0wkXmL3qChoW6j515bvpTc7MGkp+ZRXlm0zbW2ZeXq2ZSsnsPwnU/gy7lP0r3bQJISUqNWWbQlN3sIJx95L7PnPc/jL5/X9FrOPeF5EhKSW41v2ad13aR93fcgNSWHhIQkamrXtnpuW6tlt0RtXTnvfPI7du53OOP3uYEHno4ObzfUQ3bsyEvZc8T5vPDm/7B4+UcA9Ok1hpOO+CsJwc15jWECgfVvIElr+hlfs1l114eiV+O2PJ8kSbHiXM+5XksdPddbW74UgIy0vFbHyiuXN/3h/twTnicluRsAKclZBIOJ9MrdlTOOju7NnJKcTeTdvi1eR13L+VdD1PwrIy3yfa+pjZ7PtfUaUlNySE5Mb3Xt5KRMamrXkJKcRVXN6vXXrq9oeQpJ6hIMb6UuKUzh0vfYuf8RpKfmbfCtYAU9R1NTW86qsrlNf51PScluNS4lJZvq6vUTm3VvO4JA077ExLR2q35LpCRnRm2nJucAUFG5smlfVfUqCpe+wy6DjuWDz+5ixM4n8OZHt2zy3AuWvM2AnQ4kP28kcwvbntB3zx5MWkpO09vrt8asec9x4Jhr6J49mOGDjt/kW/wg8na7xMRUPvrink3+w2RzVNeUEgrVNU22m0tJzmpzor8lwuEQayuW0Ttvd9JSc6najLfcDR98AouKPmwKbrdVVdPPeOvXKElS1+Jcz7neltnWuV5VzWqWl8ykZ+4IEhJSCIVqNnnNmtq1NDSEWLriU156+9qtrr25iqqVjTVnA4ua9qckZ7UaW11TSmVVMY+/dE67XFuS4pVLjKQu6qMv/kJ9qIZRw85u83j37MGcdMTfmvpgFa38jNq6Cnr32D1qXFpKd7pl7EThsveb9q0L3lKbTf5yuw3apnrX9UgLNP4boXu3gfTI2WWTz8vNHhK1va63WlHxZ1H7Z897noy0PPYccT6BQALFq7/e5LlnzXuW1WXzN/g1TAgmc9z4PzXdVXhjQg31rPsHUGZ6Pvl5o5qOfbPgP4RCdew25BSGDJjANwv+s8nzrVtx0fxtb4FAkLTU3E0+ty3hcAPLS76gZ/dhUatkEhNSo3qlbYuM9F7U11dvdhCcEEyOen0A6W2s9thci5d9SENDqFX/vbTUHpw64cGoXnSSJMU753rO9bZEe8z1Pvr8HpIS0xg59IzNGl8fqmbZyv/So/tQmv8hAGBQ3/Hsvfv3Nrv+dYpWRr7vvXrsGrU/N2dIq7GLlr1Pdla/Vn94yM8bxUF7X7/F15akeGV4K3VRpWsW8PI717Pb0NMYPfw8gsH1NyLonTeSYw75A199+0xT/9G6+ko++OxOBux0EP37HABE3mZ1wF4/oraugulf/KXp+ctLZlJbV8HOA44EIBhIZNchp2xTvZXVq6irryYjvTcAe+/+PQb1PWSTzxvY9+Cmf4SkJGUxduQlrC5bwNfzX4gat3DJO1RWlbDPqO839UfblIaGOl54839IS83liHG/irpJVmZ6PkcffBuV1cV8/MXfNnmuteVLyEzvBcDuQ09jxM4nNR2rrill4dJ32H3o6awo+bJVL9e2LFjyFgB77Xph0769druIpMTUzXptbfno87tJS82NOuc+oy4jsI3/VxAIBBmz28VkpvdqvJnJ5q0eWbDkLfrl70vP3BFA5Ps7evi5W13HmoolfP71Pxkx+MSmcwaDiYwbfSWlaxdsc3sISZI6k3M953pbalvneouWvc/bH9/KPntcxqhhZ0e1sUpLzWXv3b9HelqPqBYO7//3DjJS8xg7cn1Qm5M1gAP2uoaVq2dv8WtYsnw6i4s+YvTwc8ls/FnKzurP8EHHtRo7/Yu/EArVceBe1xIMRN5UnJ6ax0F7X8+qxpuiSdL2IEBbjWgkdRndMvuy564XUJC3Bw3hegIEqa4t48u5TzJ34dRW44cMmMDoEeeTkpRJQjCJopKZfDDjT003kVpn4E4HM270lRAIsLZiGe//94+cecy/qKwqZvWaBTz72qVMPOh35OeNJD0tj+LVX/P2x7eSltqDfUZ9n9zswaytKGL+4jd555PfArDrziez124XUVdXQWV1Ca+8d0Obk9vRI85j+OATyM0ezLuf/p6e3YfTPXswWRkFLFs5g7c/vrXNvmX773k1u+9yOg8+PbFVn6yNSUrMYPSIcxi40yGNPbfCNDSEmFs4lZlznmjq8Tao76GMHfk98roPi/o6rPt6HbDXNdTVV1JfX8Wr7/8i6ms6YKeDOPaQ23nhzf9h4dJ3NquuYYOOZc9dLyQxIYW1FctYtOwDdt/ldBITUilbu4gnp17AqRMeJDurH0mJ6axeM4+X3r6OAX0OZNSws8jO6kfZ2kV89e0z/PerBwAY3O8w9hl1GclJGVRWlTB7/vPs3O9weuXuSln5Iqa+81NK1y5sVUu3zL5MPOhWMtPzSU3JblrtEggkkJyUSUXlcr5Z8CIz5zwBhMnNHsIR+99M926DqauvpLyyiA8+u4vCpe9Gfd333+sqBvQ5kMrqEqqrV1NU/Dn7jPo+ZWsXMXvec6xYNYtxo69o+povXj6dV9+7keMP+zM9uw9vet2vvHsDq9dEbkC2+y5nsPvQ0wkQpKGhjkVFH/DhZ38m1FBLv4JxW3w+SZJiybnees71Om6u11yPnKHsMfwcevfYnVBDHclJmYTDIVaums28xW8wr/C1qBuB9cwdwb57/IDc7MFUVq+ivr6aGbMeagqohw8+ntEjzm/6mZm7cCoffn4Xpx31UNPN2crKF/HMq5dQW1dOSnI3DhxzLQP6HEhF5QrWVCxl3qLXOHzczZStXcSCJW/x7qe/ByI3ud1vjx/SO28kVdWraQjX8+WcJ5sC/pZzv8rqEl57fzIlpd9s1vdIkuKB4a2k7cbQgUczaKeDmfruT2NdSisZaT057ah/8NCzx7RqFSBJkqRNc64nSdoR2TZB0nZj535HbNYNImJh5/5H8PX8F5zMS5IkbSXnepKkHZHhraQu7ZQj7yMxIZXsrP7kZPVj0bIPYl1SkwPH/JiCnnsSDCax684n8+XcJ2JdkiRJUpfiXE+StKNLjHUBkrQtQg11nH3cE1TXlPHmR/9LPHWCqaur4KgDf0NVTSlffPMYayuWxbokSZKkLsW5niRpR2fPW0mSJEmSJEmKQ7ZNkCRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4pA3LGtm0aJFdOvWLdZlSJIkbbY1a9bQr1+/WJfRJTjXkyRJXY1zPRneNtOtWzcn9JIkSdsp53qSJEnqamybIEmSJEmSJElxyPBWkiRJkiRJkuJQbNsm7A2MBXIat1cA04C5jdsnAaNbPGcx8Pdm2wnABGAkkVczH3gBWNMB9UqSJEmSJElSJ4lteLsGeBVY1bi9B3A2cA+wsnHfHODZZs8JtTjHRGAY8ARQCRwFTAL+AoQ7pGpJkiRJkiRJ6nCxbZvwDZFwtqTx8TpQC/RtNiYElDd7VDU7lgLsBbwMzAOKgKeAXsDgDq5dkiRJkiRJkjpQbFfeNhcAdgOSiLRGWGcg8GOgGlhAJOCtaDzWh0jbhG+bjV9LpP1Cvxb7JUmSJEmSJKkLiX142wv4LpFKaoFHiW6Z8CVQRqQv7mHABURaIoSATKCeSLDbXEXjMUmSJEmSJEnqomIf3pYQ6XGbCowgcpOyB4gEuF82G7cCWApcDewCzOrMIiVJkiRJkiSpc8W25y1EVtCuIhLMvgYsB/bdwNhyoBTIbbadSCT4bS6j8ZgkSZIkSZIkdVGxD2/bsqH1wGlANuuD2aVEwt+dm43JJNKKYVGHVSdJkiRJkiRJHS62bRMOJ9LXdg2QDOxO5AZlDzdujwe+IhLW5jSOr2R9y4Qa4FNgQuP+qsbPVwDzOuUVSJIkSZIkSVKHiG14mwGcQmS1bA2RlgkPEwleE4msoN2DSFuEtcAC4HEiNzZb52WgATgdSGp87j+BcGe8AEmSJEmSJEnqGLENb5/byLF6IkHuptQDLzY+JEmSJEmSJGk7EZ89byVJkiRJkiRpB2d4K0mSJEmSJElxyPBWkiRJkiRJkuJQbHveSpKkVgoLCykuLo7JtfPy8ujfv39Mri1JkqT4Fst56rZynquuyvBWkqQ4UlhYyLDhI6iuqozJ9VPT0vl69iwntpIkSYpSWFjIiOHDqKyqjnUpWyU9LZVZs792nqsux/BWkqQ4UlxcTHVVJT2Ou4akHv069dp1JYsomXIbxcXFTmolSZ3OFX1SfCsuLqayqpqHT05jRM+u1YVz1soGzn26ynmuuiTDW0mS4lBSj36k5A+JdRmSJHWKWL/zZFv5zhXtSEb0DLJXQUKsy5B2GIa3kiRJkqSYiuU7T7aV71yRJHUkw1tJkiRJUlzwnSeSJEUzvJUkSVLHGQDsD/QBsoB/A7ObHZ+8gedNBd5r/PxCYGCL4zOBJ9qpRkmSJClOGd5KkiSp4yQBy4EZwJltHP9di+0hwInArBb7PwHeaLZd1071SZIkSXHM8FaSJEkdZ27jY0PKW2wPB+YDq1vsr2tjrCRJkrSdM7zVNiksLKS4uDgm187Ly/OGAJIkbU8ygKHAM20cGwmMIhLgzgXeBGo7qzBJkiQpNgxvtdUKCwsZMXwYlVXVMbl+eloqs2Z/bYArSdL2YjSRQLZly4TPgVIiwW0v4HCgN/CPTqxNkiRJigHDW2214uJiKquqefjkNEb0DHbqtWetbODcp6soLi42vJUkaXuxJ5Ggtr7F/k+bfb4CKAEuBQqAZZ1TmiRJkhQLhrfaZiN6BtmrICHWZUiSpK6sP5AHPL4ZY5cBISAXw1tJkiRt1wxvJSnOxbK3NNhfWlIn2QtYCizfjLG9gAS8gZkkSZK2e4a3khTHCgsLGTZ8GNUx6i0NkJqWytf2l5a0tZKJrJBdJwfIB6qAssZ9KcCuwNQ2nt+dyI3K5gCVQE9gApEVt4UdUrEkSZIUNwxvJSmOFRcXU11VTd9L+pLSJ6XTr1+ztIbFf11sf2lJW68PcGGz7YmNH2cAzzR+vjsQAL5o4/khYBCwL5EgeA3wDTANCLd3sZIkSVJ8MbyVpC4gpU8KaQPTYl2GJG25BcDkTYz5pPHRljXAA+1XjiRJktSVBGNdgCRJkiRJkiSpNcNbSZIkSZIkSYpDtk2QJEmS1CEKCwspLi6OdRlbJS8vz37vkiQp5gxvJUmSJLW7wsJCRgwfRmVVdaxL2SrpaanMmv21Aa4kSYopw1tJkiRJ7a64uJjKqmoePjmNET27Vre2WSsbOPfpKoqLiw1vJUlSTBneSpIkSeowI3oG2asgIdZlSJIkdUld60/gkiRJkiRJkrSDMLyVJEmSJEmSpDhkeCtJkiRJkiRJccjwVpIkSZIkSZLikOGtJEmSJEmSJMUhw1tJkiRJkiRJikOGt5IkSZIkSZIUhwxvJUmSJEmSJCkOGd5KkiRJkiRJUhwyvJUkSZIkSZKkOGR4K0mSJEmSJElxyPBWkiRJkiRJkuKQ4a0kSZIkSZIkxaHEWBcgSZIkacMKCwspLi6OdRlbbNasWbEuQZIkqcszvJUkSZLiVGFhIcOGj6C6qjLWpUiSJCkGDG8lSZKkOFVcXEx1VSU9jruGpB79Yl3OFqma9zFlbz8c6zIkSZK6NMNbSZIkKc4l9ehHSv6QWJexRepKFsW6BEmKW12xJY7tcKTYMLyVJEmSJEnqJLbEkbQlDG8lSZIkSZI6SVdtiWM7HCk2DG8lSZIkSZI6WVdriWM7HCk2Yhre7r03jB0LOTmR7RUrYNo0mDt3/Zjx42HMGEhNhSVL4IUXYOXK9ccTEmDCBBg5EhITYf78yJg1azrzlUiSJEmSJElS+wrG8uJr1sCrr8Jf/xp5zJ8PZ58NPXtGjh9wAIwbB//5D/ztb1BeDuefD8nJ688xcSKMGAFPPAH33Rc5NmkSBAKxeU2SJEmSJEmS1B5iGt5+8w3MmQMlJZHH669DbS307Rs5vt9+8NZbMGtWZFXu009DUlJklS1ASgrstRe8/DLMmwdFRfDUU9CrFwweHLvXJUmSJEmSJEnbKqbhbXOBAOy+eyScXbwYuneHrCz49tv1Y0IhWLAA+jX28+7TJ9I2ofmYtWsjQW+/rtPzW5IkSZIkSZJaifkNy3r1gu9+N9KvtrYWHn000tN2XfhaURE9vqICsrMjn2dmQn09VFe3HpOZ2fG1S5IkSZIkSVJHiXl4W1IC99wTuSHZiBFw0knwwAPrj4fDsapMkiRJkiRJkmIn5m0TQiFYtQqWLoXXXoPly2HffSM3J4PWK2gzMtYfKy+PrNhNTd3wGEmSJEmSJEnqimIe3rYlMRFWr470r9155/X7ExJg4EBYtCiyvXRpJPxtPiYzM9KKYd0YSZIkSZIkSeqKYto24fDDYc4cWLMGkpMjNywbOBAefjhy/IMP4KCDIq0VVq2KfF5XB198ETleUwOffgoTJkBlJVRVRT5fsQLmzYvZy5IkSZIkSZKkbRbT8DYjA045JbJatqYm0jLh4YfXB6/vvgtJSXDssZCWBosXwz/+Ebmx2TovvwwNDXD66ZGx8+bBP/9pr1xJkiRJkiRJXVtMw9vnntv0mDffjDw2pL4eXnwx8pAkSZIkSZKk7UVc9ryVJEmSJEmSpB2d4a0kSZIkSZIkxSHDW0mSJEmSJEmKQ4a3kiRJkiRJkhSHDG8lSZIkSZIkKQ4Z3kqSJEmSJElSHEqMdQGSJEnafg0YAPvvD336QFYW/PvfMHv2+uMnnQSjR0c/Z/Fi+Pvf128nJMCECTByJCQmwvz58MILsGZNZ7wCSZIkKXYMbyVJktRhkpJg+XKYMQPOPLPtMXPmwLPPrt8OhaKPT5wIw4bBE09AZSUcdRRMmgR/+QuEwx1WuiRJkhRzhreSJEnqMHPnRh4bEwpBeXnbx1JSYK+94KmnYN68yL6nnoKrr4bBg+Hbb9u3XknaWrNmzYp1CVslLy+P/v37x7oMSdIGGN5KkiQppgYOhB//GKqrYcECeP11qKiIHOvTJ9I2oXlIu3YtrFgB/foZ3kqKvVD5aoIBOPfcc2NdylZJT0tl1uyvDXAlKU4Z3kqSJClm5syBL7+EsjLIyYHDDoMLLoi0RAiFIDMT6usjwW5zFRWRY5IUaw015TSE4eGT0xjRs2vdE3zWygbOfbqK4uJiw1tJilOGt5IkSYqZL79c//mKFbB0aaQlwi67QBd9B7KkHdSInkH2KkiIdRmSpO1M1/qzoCRJkrZr5eVQWgq5ueu3ExMhNTV6XEbGhvvkSpIkSdsLw1tJkiTFjbQ0yM5eH8wuXRppn7DzzuvHZGZCr16waFFsapQkSZI6i20TJEmS1GGSk9evooVIX9v8fKiqijzGj4evvoqEtTk5cPjhUFm5vmVCTQ18+ilMmBDZX1UV+XzFCpg3LwYvSJIkSepEhreSJEnqMH36wIUXrt+eODHyccYMmDIlsoJ2jz0ibRHWroUFC+Dxx6G2dv1zXn4ZGhrg9NMhKSkS2v7znxAOd+ILkSRJkmLA8FaSJEkdZsECmDx5w8cffnjT56ivhxdfjDwkSZKkHYk9byVJkiRJkiQpDhneSpIkSZIkSVIcMryVJEmSJEmSpDhkeCtJkiRJkiRJccjwVpIkSZIkSZLikOGtJEmSJEmSJMUhw1tJkiRJkiRJikOGt5IkSZIkSZIUhwxvJUmSJEmSJCkOGd5KkiRJkiRJUhwyvJUkSZIkSZKkOGR4K0mSJEmSJElxyPBWkiRJkiRJkuKQ4a0kSZIkSZIkxSHDW0mSJEmSJEmKQ4a3kiRJkiRJkhSHDG8lSZIkSZIkKQ4Z3kqSJEmSJElSHDK8lSRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4pDhrSRJkiRJkiTFIcNbSZIkSZIkSYpDhreSJEmSJEmSFIcMbyVJkiRJkiQpDhneSpIkSZIkSVIcMryVJEmSJEmSpDhkeCtJkiRJkiRJccjwVpIkSZIkSZLiUGIsL34gMALIA+qBRcArQEmzMScBo1s8bzHw92bbCcAEYCSRFzQfeAFY0wE1S5IkSZIkSVJniGl4OxCYDiwhsgT4cOA84C6grtm4OcCzzbZDLc4zERgGPAFUAkcBk4C/AOEOqFuSJEmSJEmSOlpM2yY8DMwAVgLLgWeAHKBPi3EhoLzZo6rZsRRgL+BlYB5QBDwF9AIGd1ThkiRJkiRJktTBYrrytqXUxo9VLfYPBH4MVAMLgNeBisZjfYi0Tfi22fi1wAqgX4v9kiRJkiRJktRVxFV4exSwkEjwus4c4EugjMiq3MOAC4i0RAgBmUT65Va3OFdF4zFJkiRJkiRJ6opi2jahuWOA3sCTLfZ/SSTAXQF8Q6TVQg9gl06tTpIkSZIkSZI6V1yEt0cTueHYA8CaTYwtB0qB3GbbiaxvubBORuMxSZIkSZIkSeqKYh7eHgOMAB4kEspuShqQzfpgdimR9gk7NxuTSeSGZYvarUpJkiRJkiRJ6lwx7Xl7LDAS+BdQy/oetdVE+tgmA+OBr4iEtTnA4UAlMKtxbA3wKTChcX9V4+crgHkd/xIkSZIkSZIkqUPENLwd2/jxOy32PwPMABqIrKDdg0hbhLXAAuBxImHvOi83jj0dSCIS2v4TCHdI1ZIkSZIkSZLU8WIa3k7exPF6Ijco25R64MXGhyRJkiRJkiRtD2Le81aSJEmSJEmS1JrhrSRJkiRJkiTFIcNbSZIkSZIkSYpDMe15K0mSpO3bAGB/oA+QBfwbmN14LAgcBgwFugM1RG48+yqRG9WucyEwsMV5ZwJPdFDNkiRJUrwwvJUkSVKHSQKWAzOAM9s4VgC8BRQBacBE4Gzgry3GfgK80Wy7rgNqlSRJkuKN4a0kSZI6zNzGR1tqgH+02Pcf4BIgGyhrtr8OKG/36iRJkqT4ZngrSZKkuJEKhIHqFvtHAqOIBLhzgTeB2k6tTJIkSep8hreSJEmKC4nAEcAXRFblrvM5UEokuO0FHA70pvWqXUmSJGl7Y3grSZKkmAsCpwEB4IUWxz5t9vkKoAS4lEi/3GWdUp0kSZIUG8FYFyBJkqQdWxA4HcgBHiJ61W1blgEhILdjy5IkSZJizvBWkiRJMbMuuO1BJLit2ozn9AIS8AZmkiRJ2v7ZNkGSJEkdJpnoFbI5QD6RkHYtcAaR9gf/JBLkZjaOqyKyurY7kRuVzQEqgZ7ABCKrbws7vHpJkiQptgxvJUmS1GH6ABc2257Y+HEG8CYwvHH7shbPewBYQCTAHQTsSyQIXgN8A0wDwu1erSRJkhRfDG8lSZLUYRYAkzdyfGPHIBLWPtA+pUiSJEldjj1vJUmSJEmSJCkOGd5KkiRJkiRJUhwyvJUkSZIkSZKkOGR4K0mSJEmSJElxyPBWkiRJkiRJkuKQ4a0kSZIkSZIkxSHDW0mSJEmSJEmKQ4a3kiRJkiRJkhSHDG8lSZIkSZIkKQ4Z3kqSJEmSJElSHDK8lSRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4pDhrSRJkiRJkiTFIcNbSZIkSZIkSYpDhreSJEmSJEmSFIcMbyVJkiRJkiQpDhneSpIkSZIkSVIcMryVJEmSJEmSpDhkeCtJkiRJkiRJccjwVpIkSZIkSZLikOGtJEmSJEmSJMUhw1tJkiRJkiRJikOGt5IkSZIkSZIUhwxvJUmSJEmSJCkOGd5KkiRJkiRJUhwyvJUkSZIkSZKkOGR4K0mSJEmSJElxyPBWkiRJkiRJkuKQ4a0kSZIkSZIkxSHDW0mSJEmSJEmKQ4a3kiRJkiRJkhSHYhre/gT4CFgDLAeeBnZpY9xNwBKgEngD2LXF8WTgj8BKoBx4FtipY0qWJEmSJEmSpE4R0/D2EOAuYD/gSCARmAqkNxtzHfAj4IfAWKAIeAXIbDbmduBk4CzgwMZjU3BZsSRJkiRJkqSuKzGWFz+6xfZ3iKyeHQO83bjvKuAWIqtyAS4gskp3EvBXoBtwMXAe8FrjmHOBRcARRMJgSZIkSZIkSepq4mpxanbjx1WNHwcBBUQHsLXANGD/xu0xRNomNB+zDJjZbIwkSZIkSZIkdTVxFd7+nsiK2y8bt/MbPy5vMW55s2P5QA1QupExkiRJkiRJktTVxLRtQnN3AqOI9KxtKdxiO9DGvpY2Z4wkSZIkSZIkxau4WHn7R+AE4FBgSbP9RY0fW66g7cX61bhFQAqQs5ExkiRJkiRJktTVxDy8/RNwCnAYsKDFsflE+tce2WxfEnAI8F7j9idE+uA2H5MP7N5sjCRJkiRJkiR1NTFtm3AXMAk4EVgL9G7cXwZUN35+O/AzYE7j42dAJfDPxuNrgHuB24ASIjc7+x3wBfBqR78ASZIkSZIkSeogMQ1vL2/8OK3F/guBBxs/vxVIA/4MdAc+BCYA5c3GXw3UA481jn2t8RwNHVCzJEmSJEmSJHWGrWqbcPmkT0lL6d5qf0pyNy6f9OlmnyewgceDLcb9EuhDJJgdD3zZ4ngNcCWQB2QQ6Z+7eLOrkCRJUnPtNdeTJEmStG22KrzNyepPIJDQan9iQgpZGQXbXJQkSZJipz3negcBzxG5KW2YSLuslm5qPF4JvAHs2uJ4MpEb3K4k8u6rZ4GdtqgKSZIkqWvaorYJQwdMbPp8cL/DqKld07QdDCQwsO/BlK0tbL/qJEmS1Gk6Yq6XAXwG3A881cbx64AfEWl59Q1wI/AKMIz1bbJuB44HziJyj4PbgCnAGGyTJUmSpO3bFoW3p098GIBwOMwJh/056liooY6ytYW8+t7P2686SZIkdZqOmOu91PjYkKuAW4CnG7cvAJYTuantX4FuwMXAeUTuawBwLrAIOAKYukXVSJIkSV3LFoW3v/5LHgA/mPRf7nvqcKqqV3VIUZIkSep8nT3XGwQUEB3A1hK5me3+RMLbMUTaJjQfswyY2TjG8FaSJEnbsy0Kb9e56597tncdkiRJihOdNdfLb/y4vMX+5cCAZmNqgNI2xuQjSZIkbd+2KrwFGLjTwQzc6WAy0noSCETf92zKm1dsc2GSJEmKnc6c64VbbAfa2NfS5oyRJEmSurqtCm8PGnMdB475MctWzqC8sginzpIkSduPzprrFTV+zG/2OUAv1q/GLQJSgByiV9/2At7rkKokSZKk+LFV4e1eu17I82/8gJlzHmvveiRJkhRjnTXXm0+kf+2RwIzGfUnAIcD1jdufEOmDeyTweOO+fGB34LoOrU6SJEmKva0Kb4MJySxe/lF71yJJkqQ40J5zvQxgSLPtQcAewCpgEXA78DNgTuPjZ0Al8M/G8WuAe4HbgJLG5/0O+AJ4tV0qlCRJkuJXcNNDWpsx6x/sPuS09q5FkiRJcaA953p7E1lVO6Nx+w+Nn9/cuH0rkQD3z8DHwE7ABKC82TmuBp4BHgPeJRLuHg80tEuFkiRJUvzaqpW3iYmp7LnrBQzsewgrSr6koaE+6vir79/YLsVJkiSp87XnXG8akZuLbcwvGx8bUgNc2fiQJEmSdiRbFd72yt2V5cVfANAzd0SLo968TJIkqStzridJkiTFh60Kbx95/sT2rkOSJElxwrmeJEmSFB+2quetJEmSJEmSJKljbdXK23OOf5aNvWXukedP2spyJEmSFGvO9SRJkqT4sFXh7fKSmVHbCcFEevcYSc/cEXz+zb/bpTBJkiTFhnM9SZIkKT5sVXj76ns3tLn/oL2vJzkxY5sKkiRJUmw515MkSZLiQ7v2vJ35zWPsMfyc9jylJEmS4oRzPUmSJKlztWt4u1PvsdSHqtvzlJIkSYoTzvUkSZKkzrVVbRNOnfBg1HYgECAzPZ+CnqN555PftUthkiRJig3nepIkSVJ82KrwtqZ2bdR2ONxASelcpk3/P+YvfqNdCpMkSVJsONeTJEmS4sNWhbdT3vxhe9chSZKkOOFcT5IkSYoPWxXerpOftwd53XchTJjiVV+zvOSL9qpLkiRJMeZcT5IkSYqtrQpv01PzOPnIvzOgz4FU15RBIEBqcjcWLHmbZ179LpXVJe1dpyRJ0jYJhULU1dXFuox2V1tby4ABAwiHw6xdu5bS0lLC4fA2ndO5niRJ0vYpEAiQk5NDVlYWgUAg1uXskMLhMCtXrqSqqmqzxm9VeHvUgf+PlKQs/vLo/pSUfgNAXvdhHH/oXUw44Dc889r3tua0kiRJHaK8vJzFixdvc6gZjxoaGrjnnnsIh8PU19czffp07rnnHlauXLnV53SuJ0mStP3p2bMnl112GXvvvTeJiYmGtzESDocpKyvjlltuYebMmZscv1Xh7eB+h/PPKSc3TeYBild/zcvvXMfZxz65NaeUJEnqEKFQiMWLF5Oenk7Pnj23u0lqKBSK+qv9hAkTGDp0KBdddBH19fVbdU7nepIkSduXxMREbrvtNgYNGkRqamqsy9nh5ebmcsMNN3DRRRdtcgXuVoW3gUCAhobWbzsMheoIBIJbc0pJkqQOUVdXRzgcpmfPnqSlpcW6nHYXCoWitlNTU8nLyyM/P5/Fixdv1Tmd60mSJG1fCgoKyMvLM7iNEwkJCWRnZ9OzZ08KCws3OnarZt8Ll7zNkQf8H5np+U37sjIKOPKAW1iwZNrWnFKSJKlDbW8rbjcmEAiQkJCw1c93ridJkrR9CQaDO9R8uCsIBAKb9T3ZqpW3L71zPWdMfJgfnjODNeVLCBMmO7MvK1Z9xbOvfX9rTilJkqQ44VxPkiRJig9bFd6urVjCvU8eyqC+4+mRMxQIULz6a1diSJIkbQec60mSJEnxYYvaJgzocxCXnPE+yUlZAMxf/CYfz/wbH8/8K8tWfsolZ7xHv/z9OqRQSZKkHckDDzxATk5Op17TuZ4kSZK6uksvvZTbbrst1mW0my0Kb/cZ9X1mzH6I2rq1rY7V1K7l068eYN89Lm+34iRJkjrShRde2NRrKhAI0KNHDyZOnMjnn38e69JiwrmeJEmS2kNxcTG/+93vOPnkkznggAM46qij+O53v8uTTz5JdXV1rMvrUrYovO3dY3e+LXxtg8fnL36D/LzR21qTJElSp5k4cSLLli1j2bJlvPbaayQmJnLcccdtcHxdXV0nVte5nOtJkiRpWy1evJhzzz2XDz/8kMsvv5yHH36Yu+66i0mTJvH222/z4YcfxrrEjQqFQjQ0NMS6jCZbFN5mpPWkoWHD/2BpaKgnPa3HNhclSZLUWVJSUsjPzyc/P5/Ro0dz/fXXs2jRIlauXMmCBQsIBAI89thjjB8/ntTUVB5++GFKSko4++yz6du3L+np6YwcOZJ//etfUecdP348V155Jddddx25ubnk5+czefLkqDGlpaVccskl9O7dm9TUVHbffXemTJkSNebll19mxIgRZGZmNgXNHcW5niRJkrbV//t//4+EhAQeeughjjzySAYNGsSQIUM47LDDuP322zn44IMBKC8v55ZbbmHChAmMHz+eyy67jG+++abpPH/961+ZNGkS//nPfzjhhBMYP348P/vZz6ioqGgaU1VVxU033cTBBx/MxIkTefjhh1vVU1dXxx//+EeOOeYYDjroIC688EI++eSTpuPPP/88hx56KG+//TZnnHEGBxxwQIfOubfUFoW3ayuW0St31w0e79VjN8orl29zUZIkSbFQXl7OI488wpAhQ+jRY31Ief3113PllVcya9YsjjrqKKqrqxkzZgxTpkxh5syZXHLJJZx33nmtVhE8+OCDZGRk8OGHH3Lrrbdy880388orrwDQ0NDA0UcfzXvvvcfDDz/MV199xW9+8xsSEhKanl9ZWcnvfvc7/vGPf/DWW29RWFjItdde22Gv37meJEmStkVpaSkffvghp59+OmlpaW2OCQQChMNhrrrqKkpKSrj99tt56KGHGDZsGJdffjllZWVNY5csWcKbb77J73//e/7whz/w6aef8uCDDzYdv+OOO/j444/57W9/y5133sknn3zC7Nmzo673y1/+ks8++4xbbrmFf/3rXxx++OFceeWVFBYWNo2prq7mgQce4IYbbuDf//43ubm57fyV2XqJWzJ4buErHDz2p8xd9CqhUE30iRJSOXjvnzB34cvtWqAkSVJHmjJlCpmZmQBUVFRQUFDAlClTCAbX/437qquu4pRTTol6XvMQ9YorruCll17i8ccfZ999923aP2rUKG666SYAhg4dyp133slrr73GkUceyauvvspHH33ErFmz2GWXXQAYPHhw1DXq6uq455572HnnnQH44Q9/yM0339yOrz6acz1JkiRti8WLFxMOhxkwYEDU/iOOOILa2loATj/9dPbbbz/mzp3L1KlTSU5OBiJz7mnTpvHaa681zb0bGhq46aabyMjIAOCYY45h+vTpQGShw3PPPcfkyZOb5uCTJ0/m2GOPjapn6tSpvPDCC/Ts2ROA8847j/fff5/nn3+eH/zgBwDU19dz/fXXN83L48kWhbfvfnobwwcfx2VnTefjL//GqtK5hMNh8rrvwpjdvkswGOTdT3/fUbVKkiS1u0MPPZS7774bgFWrVvHnP/+Zo48+mo8++qhpzN577x31nFAoxG9+8xseffRRlixZQk1NDTU1NU2TynVGjRoVtV1QUMCKFSsAmDFjBn379t3oBDE9Pb0puG35/I7gXE+SJEntIRAIRG0/8MADhMNhfv7zn1NbW8vs2bOpqqriiCOOiBpXU1PDkiVLmrYLCgqi5th5eXmsWrUKiASzdXV1UXPu7OzsqOB49uzZhMNhTj311Kjr1NbWkp2d3bSdlJTE0KFDt+EVd5wtCm8rqlbywNMTOfrg2zh0n180fSPC4TDzFr/OS29fS0XVyg4pVJIkqSNkZGQwZMiQpu0xY8aQnZ3N3/72N7773e82jWnutttu4w9/+AO33347I0eOJCMjg6uuuqppNcE6SUlJUduBQKDp5gcbehvZpp4fDoc3/8VtIed6kiRJ2hZ9+/YlEAiwYMGCVvshcr8JiKyozcvL45577ml1jqysrKbPExNbR5fr5sObMy9uaGho6r/bvD0ZRM/HU1JSWgXO8WKLwluANeWLefQ/Z5KanE337MEEAgFWlX5LdW3Zpp8sSZIU5wKBAMFgkKqqqg2OefvttznxxBM599xzgcikcM6cOYwYMWKzrzNq1CgWL17MN998E1dvz3KuJ0mSpK2Vk5PDvvvuy+OPP86ZZ565wQULw4cPp6SkhISEBPr06bNV1+rXrx+JiYl88cUX5OfnA7BmzRoKCwvZa6+9ABg2bBihUIjVq1ez5557bt2LirEtumFZc9W1ZSxb+V+WrvjUybwkSeqyampqKCoqoqioiFmzZnHFFVdQXl7O8ccfv8HnDBkyhFdeeYX33nuPWbNmcemll1JUVLRF1z3kkEM4+OCDOfXUU3nllVeYP38+L774Ii+99NK2vqR24VxPkiRJW+P666+nvr6e888/n6lTpzJ//nwWLFjAf/7zHxYsWEAwGGSfffZh5MiRXHvttbz//vssXbqUzz77jLvvvpuvvvpqs66Tnp7OiSeeyB//+Ec++ugj5s6dyy9/+cuoe1cMGDCAiRMnMnnyZF5//XWWLFnCl19+yYMPPsi7777bUV+CdrXFK28lSZK2Jy+99BIFBQVA5C1aw4cP5/HHH2f8+PGt3u61zs9//nPmz5/PUUcdRXp6OpdccgknnXRS1J1xN8eTTz7Jtddey9lnn01FRQVDhgzhN7/5zba+JEmSJClm+vbtyyOPPML999/PXXfdxYoVK0hOTmbQoEGce+65nH766QQCAW6//XbuvvtufvWrX7F69Wp69OjBnnvuSW5u7mZf68orr6SyspJrrrmG9PR0zj33XMrLy6PG3HTTTdx7773ccccdrFixguzsbEaOHMkBBxzQ3i+9QxjeSpKkHdYDDzzAAw88sMHjAwcObLOXVm5uLs8888xGz/3mm2+22tfyObm5udx3331tPv/CCy/kwgsvjNp30kkndWjPW0mSJKk95OXl8eMf/5gf//jHGxyTkZHBtddey7XXXtvm8UsuuYRLLrkkat+kSZOYNGlS03Z6ejo333xz1JjzzjsvajsxMZFLL72USy+9tM3rHH/88Rt9112sbXXbBEmSJEmSJElSxzG8lSRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4lCMw9uDgOeAJUAYOLHF8fsb9zd/vN9iTDLwR2AlUA48C+zUcSVLkiRJkiRJUieIcXibAXwG/HAjY14E8ps9jmlx/HbgZOAs4EAgE5hCzF+aJEmSJEmSJG2DxNhe/qXGx8bUAMs3cKwbcDFwHvBa475zgUXAEcDUdqhRkiRJkiRJkjpfF1ieOp5IePs18FegZ7NjY4i0TWge0i4DZgL7d1J9kiRJkiRJktT+YrzydlNeBB4HFgKDgF8BrxMJbWuJtFGoAUpbPG954zFJkqS2FRYWUlxc3GnXy8vLo3///p12PUmSJGlzFBUVUVpa2inXysnJIT/fzG5LxHl4+1izz78EPiYS5B4LPL2R5wWI3NxMkiSptcLCQoYNH0F1VWWnXTM1LZ2vZ88ywJUkSVLcKCoq4tTTTqe2prpTrpecksqTTzze5QPcE044gbPOOotJkyZ1+LXiPLxtqYhIeDu02XYKkEP06ttewHudWZgkSepCiouLqa6qpMdx15DUo1+HX6+uZBElU26juLh4i8Pb9957j4MOOogjjzySl17a1L0CJEmSpM1XWlpKbU11p8yL182JS0tLtyi8nTx5Mi+88EKr/U899RT9+nX8XD7Wulh4mwv0I9LXFuATIu0TjiTSXgEi7RJ2B67r9OokSVLXktSjHyn5Q2Jdxkbdd999XHHFFfz973+nsLDQlbuSJElqd/E+Lx43bhy/+MUvovZ17949RtV0rhjfsCwD2KPxAZG+tnsQCWgzgN8C+wEDgEOA54Fi1rdMWAPcC9wGHAaMBh4GvgBe7YwXIEmS1GEqKip47LHHuOyyyzjuuON44IEHYl1SB5hPpN1Vy8edjcfvb+PY+51fpiRJkmImOTmZvLy8qEdCQgJvvfUW5513HgcccAAnnngif/vb36ivr2963tixY3nqqae4+uqrOfDAAzn99NP5/PPPWbRoEZdeeikHHXQQF110EYsXL256zuLFi7nmmms46qijOPjggzn//PP58MMPN1pfeXk5t9xyCxMmTGD8+PFcdtllfPPNN+3y2mMc3u4NzGh8APyh8fObgRAwEngW+AZ4sPHjOKC82TmuBp4h0h/3XaASOB5o6NjSJUmSOtijjz7KsGHDGDZsGOeeey73338/4fD21td/LJF3Tq17HNG4//FmY15sMeaYzixQkiRJcej999/nF7/4BWeeeSaPPvooP/vZz5gyZQr3339/1Lh7772XY445hkceeYSBAwfy85//nF//+tdceOGFPPTQQwDceuutTeMrKys54IADuOuuu3j44YcZN24c11xzDUVFRW3WEQ6HueqqqygpKeH222/noYceYtiwYVx++eWUlZVt8+uMcduEaURuLrYhEzfjHDXAlY0PSZKk7ce9997LueeeC8DEiRMpLy/ntdde44gjjtjEM7uS4hbbPwHmEpknrlMDLO+0iiRJkhRf3nnnHQ4++OCm7f33359Vq1ZxwQUXcNxxxwHQt29fLr30Uv70pz/xve99r2nscccdx5FHHgnA+eefz0UXXcTFF1/MuHHjADjrrLO4+eabm8bvsssu7LLLLk3bl112GW+88QZvvfUWZ5xxRqvaPv74Y+bOncvUqVNJTk4G4KqrrmLatGm89tprnHLKKdv02rtYz1tJkqQdw9dff81HH33EU089BUBiYiJnnnkm991333YW3jaXBJwL/L7F/vFEwttSIqHuDcDKzixMkiRJMTRmzBh+8pOfNG2npaVx8skn89VXX0WttG1oaKCmpobq6mpSU1MBGDp0aNPx3NxcAHbeeeeofTU1NZSXl5OZmUlVVRV/+9vfeOedd1i5ciWhUIiampoNrrydPXs2VVVVreboNTU1LFmyZJtfu+GtJElSHLr33nupr69np512atoXDodJSkpi9erV2+kNGk4CcoAHmu17kUgLhYVE7o/wK+B1YAyRG9dKkiRpe5eWlka/fv2i9oXDYS655BIOPfTQVuPXrYCFyCKIdQKBwAb3rWtPdscdd/DBBx/wP//zP/Tr14+UlBSuv/566urq2qytoaGBvLw87rnnnlbHsrKyNvclbpDhrSRJUpypr6/noYce4rbbbmPChAlRx0499VQeeeQRfvjDH8aouo50MZGwdlmzfY81+/xL4GMiQe6xrL+JrSRJknY0w4YNY+HCha1C3W01Y8YMjjvuuKZQuLKykmXLlm1w/PDhwykpKSEhIYE+ffq0ay1geCtJknZgdSWL4vI6U6ZMYfXq1Vx88cVkZ2dHHTvttNO49957t8Pwtj+Rm5VtqidYEZHwdugmxkmSJGlzdca8uL2v8d3vfperr76a3r17c/jhhxMMBpkzZw7ffvstl1122Vaft1+/frzxxhscdNBBBAIB7rnnno3eNHifffZh5MiRXHvttVxxxRUMGDCAlStX8t5773HIIYew6667bnUtYHgrSZJ2QHl5eaSmpVMy5bZOu2ZqWjp5eXmbNfbee+/liCOOaBXcQmTl7a9//Ws+/fRT9tprr/YuM4a+A6wAXtjEuFygH9GrcyVJkrQ1cnJySE5J7bR5cXJKKjk5Oe1yrnHjxvGHP/yBv//97zz00EMkJiYycOBATjzxxG0679VXX82vfvUrLr74YnJycjj//POpqKjY4PhAIMDtt9/O3Xffza9+9StWr15Njx492HPPPZt67G4Lw1tJkrTD6d+/P1/PnkVxcXGnXTMvL4/+/ftv1tjnn39+g8f22muvjf7lv2sKEAlvHwRCzfZnAJOBJ4mEtQOBXwPF2DJBkiRp2+Xn5/PkE49TWlraKdfLyckhPz9/i54zefLkDR4bN24c48aN2+Dx6dOnR2336dOn1b4xY8ZE7evTpw9333131Jgzzjgjavu5556L2s7IyODaa6/l2muv3WAtW8vwVpIk7ZD69++/2WGqOtoRwADgvhb7Q8BI4HwiNzJbBrwBnAmUd2J9kiRJ26/8/PwtDlTVeQxvJUmSFGOvEFl921I1MLGTa5EkSZLiRzDWBUiSJEmSJEmSWjO8lSRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4pDhrSRJkiRJkiTFIcNbSZIkSZIkSYpDibEuQJIkKRYKCwspLi7utOvl5eXRv3//TrueJEmStDmKioooLS3tlGvl5OSQn5/fKdfaXhjeSpKkHU5hYSEjhg+jsqq6066ZnpbKrNlfG+BKkiQpbhQVFXHGaadSVVPbKddLS0nmsSeejFmAu3TpUk488UQefvhhhg0bFpMatpThrSRJ2uEUFxdTWVXNwyenMaJnx3eRmrWygXOfrqK4uHiLwtsLL7yQBx98sGk7NzeXsWPHcuuttzJq1KiOKFWSJEk7kNLSUqpqajtlXrxuTlxaWrpF4e3kyZN54YUXOOWUU/jpT38adew3v/kNTz75JMceeyyTJ09u54rjg+GtJEnaYY3oGWSvgoRYl7FREydO5P777wciKyNuvPFGjjvuOAoLC2NcmSRJkrYX8T4v7t27N1OnTuXqq68mNTUVgJqaGqZOnbrdt2EwvJUkSYpjKSkpTRPS/Px8rr/+eg4++GBWrlxJz549Y1ydJEmS1PGGDx/OkiVLeOONNzj66KMBeOONN+jduzc77bRT07j33nuP++67j2+//ZaEhARGjhzJNddcQ9++fTd47nnz5nHHHXfw3//+l7S0NPbdd19+9KMfkZOT09Eva7N0/PsEJUmS1C7Ky8t55JFHGDJkCD169Ih1OZIkSVKnOf7443n++eebtp977jmOP/74qDHV1dVMmjSJBx98kLvuuotAIMCPf/xjGhoa2jxncXExl156KbvssgsPPfQQf/zjH1m1alWr9gyx5MpbSZKkODZlyhQyMzMBqKiooKCggClTphAM+jd4SZIk7TiOOeYY7rrrLpYuXUogEODzzz/n17/+NZ9++mnTmMMOOyzqOT//+c+ZMGEC8+bNY8iQIa3O+cQTTzB8+HB+8IMfRD3nuOOOY+HChQwYMKDjXtBmMryVJEmKY4ceeih33303AKtWreLPf/4zRx99NB999FFcTCYlSZKkzpCTk8MBBxzACy+8QDgc5oADDmjV2mDx4sXcc889fPHFF5SVlTWtuF2+fHmb4e3s2bP5+OOPOfjgg1sdW7x4cVzMtw1vJUmS4lhGRkbURHPMmDFkZ2fzt7/9jf/93/+NYWWSJElS5zrhhBP47W9/C8B1113X6viPfvQjevfuzQ033EDPnj1paGjgrLPOoq6urs3zNTQ0cNBBB3HFFVe0OpaXl9e+xW8lw1tJkqQuJBAIEAwGqaqqinUpkiRJUqcaN25cUxC73377RR0rLS1l/vz5/PSnP2XPPfcEYMaMGRs93/Dhw3n99dcpKCggMTE+Y9L4rEqSJKkTzFrZ9o0L4uk6NTU1FBUVAbB69WruvPNOysvLW92cQZIkSdpanTEvbo9rJCQk8NhjjzV93ly3bt3Izs7m6aefJi8vj6KiIu68886Nnu/000/nmWee4cYbb+S8884jOzubxYsXM3XqVG644YZW14gFw1tJkrTDycvLIz0tlXOf7rzVq+lpqVv11quXXnqJgoICALKyshg+fDiPP/4448ePb+cKJUmStKPJyckhLSW50+bFaSnJrfrUbql1N/NtKRgMcsstt3Dbbbdx1llnMWDAAK655hq+//3vb/BcPXv25O9//zt/+tOfuOKKK6itraWgoIBx48bFzQ2CDW8lSdIOp3///sya/TXFxcWdds28vDz69++/Rc954IEHeOCBBzqmIEmSJO3w8vPzeeyJJyktLe2U6+Xk5JCfn79Fz5k8efJGj//ud79r+nzfffdtWpm7zvTp05s+79OnT9Q2RP5tsK6PbjwyvJUkSTuk/v37b3GYKkmSJG1v8vPztzhQVeeJj/W/kiRJkiRJkqQohreSJEmSJEmSFIcMbyVJkiRJkiQpDhneSpIkSZIkSduxcDhMOByOdRlqZnO/J4a3kiRJkiRJ0naspKSE2traWJehZurr61mzZs0mxxneSpIkSZIkSduxiooKnnvuOUpLS2NdioDq6mqmT59OWVnZJscmdkI9kiRJkiRJkmLo/vvvB+CEE04gOTmZQCAQ44p2TOFwmOLiYu65557NaptgeCtJknZIhYWFFBcXd9r18vLy6N+/f6ddT5IkSWouHA5z33338e9//5u8vDzD2xgJhUIUFRVRX1+/WeMNbyVJ0g6nsLCQYcOHUV1V3WnXTE1L5evZXxvgSpIkKaYqKyspLCyMdRnaTIa3kiRph1NcXEx1VTV9L+lLSp+UDr9ezdIaFv91McXFxVsc3hYVFXHLLbfwwgsvsGTJEnr16sXo0aO56qqrOPzwwzuoYkmSJEnxwPBWkiTtsFL6pJA2MC3WZWzQggULOOCAA8jJyeHWW29l1KhR1NXV8fLLL/ODH/yA2bNnx7pESZIkSR3I8FaSJClOXX755QQCAT766CMyMjKa9u+2225cdNFFMaxMkiRJUmcIxroASZIktbZq1SpeeuklfvCDH0QFt+vk5OR0flGSJEmSOpXhrSRJUhyaO3cu4XCY4cOHx7oUSZIkSTFieCtJkhSHwuEwAIFAIMaVSJIkSYoVw1tJkqQ4NHToUAKBALNmzYp1KZIkSZJixPBWkiQpDuXm5nLUUUdx1113UVFR0ep4aWlp5xclSZIkqVMlxroASZKkWKlZWhPX1/nzn//M/vvvzz777MPNN9/MqFGjqK+v55VXXuHuu+92Va4kSZK0nYtteHsQ8GNgDNAHOAl4tsWYm4BLgO7Ah8APgK+aHU8GfgecDaQBrwGXA0s6sG5JktSl5eXlkZqWyuK/Lu60a6ampZKXl7dFzxk0aBCffvopt9xyC9dccw3Lli2jZ8+ejBkzhrvvvruDKpUkSZIUL2Ib3mYAnwH3A0+1cfw64EfAhcA3wI3AK8AwoLxxzO3A8cBZQAlwGzCFSCDc0GGVS5KkLqx///58PftriouLO+2aeXl59O/ff4ufV1BQwJ133smdd97ZAVVJkiRJimexDW9fanxsyFXALcDTjdsXAMuBScBfgW7AxcB5RFbcApwLLAKOAKa2e8WSJGk70b9//60KUyVJkiSps8TvDcsGAQVEB7C1wDRg/8btMUTaJjQfswyY2WyMJEmSJEmSJHVB8Rve5jd+XN5i//Jmx/KBGqB0I2MkSZIkSZIkqQuK3/B2nXCL7UAb+1ranDGSJEmKvZuIzNuaP5a1MWYJUAm8AezamQVKkiRJsRO/4W1R48eWK2h7sX41bhGQAuRsZIwkSRIQDu84f9kNh8Nd6/XOJDLnW/cY2ezYuhvY/hAYS2T+9wqQ2ck1SpIkSTEQv+HtfCKrLo5sti8JOAR4r3H7EyJ9cJuPyQd2bzZGkiTt0BISEgCora2NcSWdp7a2luLi4liXsfnqifzhfd2jeelXsf4Gtl8SuYFtOpEb2EqSJEnbucSYXj0DGNJsexCwB7AKWATcDvwMmNP4+BmRt8v9s3H8GuBe4DagpPF5vwO+AF7t8OolSVIXkJiYSHp6OitXriQpKYlgMH7/dr01QqFQ1HZpaSnPPfcclZWVMapoKwwl0hahBviQyJxvPpu+ge1fO7dMSZIkqbPFNrzdG3iz2fYfGj8+AHwHuBVIA/4MdCcymZ8AlDd7ztVEVms81jj2NeBCoKHDqpYkSV1IIBCgoKCA+fPns3DhwliX0+4aGhooLi4mHA5TW1vLc889x/333x/rsjbfh8D5wDdAb+BGIu+g2o2N38B2QGcVKEmSJMVObMPbaURuLrYxv2x8bEgNcGXjQ5IkqQ3JyckMHTp0u2ydUF5ezrHHHks4HKa4uLhrrbgFeKnZ5zOB94FvibRH+KBx/9bcwFaSJEnaDsQ2vJUkSeokwWCQ1NTUWJfR7mpra7evFcWVRFpgDQWeadyXz/qb2YI3p5UkSdIOY/tq+iZJkqSuLRkYQeTGtZtzA1tJkiRpO+bKW0mSJMXOb4HngUIiK2pvBLoBDzYev52N38BWkiRJ2o4Z3kqSJCl2+gL/AvKAlUT63O5HJMyFzbuBrSRJkrSdMryVJElS7Jy9GWM2dQNbSZIkaTtlz1tJkiRJkiRJikOGt5IkSZIkSZIUhwxvJUmSJEmSJCkOGd5KkiRJkiRJUhwyvJUkSZIkSZKkOGR4K0mSJEmSJElxyPBWkiRJkiRJkuKQ4a0kSZIkSZIkxSHDW0mSJEmSJEmKQ4a3kiRJkiRJkhSHDG8lSZIkSZIkKQ4Z3kqSJEmSJElSHDK8lSRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4pDhrSRJkiRJkiTFIcNbSZIkSZIkSYpDhreSJEmSJEmSFIcMbyVJkiRJkiQpDhneSpIkSZIkSVIcMryVJEmSJEmSpDhkeCtJkiRJkiRJccjwVpIkSZIkSZLikOGtJEmSJEmSJMUhw1tJkiRJkiRJikOGt5IkSZIkSZIUhwxvJUmSJEmSJCkOGd5KkiRJkiRJUhwyvJUkSZIkSZKkOGR4K0mSJEmSJElxyPBWkiRJkiRJkuKQ4a0kSZIkSZIkxSHDW0mSJEmSJEmKQ4a3kiRJkiRJkhSHDG8lSZIkSZIkKQ4Z3kqSJEmSJElSHDK8lSRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4pDhrSRJkiRJkiTFIcNbSZIkSZIkSYpDcR3e3sRNhFv8bxnLWo1ZwhIqqeQN3mBXdo1RtZIkSZIkSZLUfuI6vAWYyUzym/1vJCObjl3HdfyIH/FDfshYxlJEEa/wCplkxrBiSZIkSZIkSdp2cR/e1lPP8mb/K6a46dhVXMUt3MLTPM2XfMkFXEA66UxiUgwrliRJ0ub6CT/hIz5iDWtYznKe5ml2YZeoMfdzf6t3Y73P+zGqWJIkSeo8cR/eDmUoS1jCPObxL/7FIAYBMIhBFFDAVKY2ja2llmlMY3/2j1W5kiRJ2gKHcAh3cRf7sR9HciSJJDKVqaSTHjXuRV6MejfWMRwTo4olSZKkzpMY6wI25kM+5HzO5xu+oTe9uZEbeY/32I3dyCcfgOUsj3rOcpYzgAGxKFeSJElb6GiOjtr+Dt9hJSsZwxje5u2m/TXUtJr3SZIkSdu7uA5vX+Klps9nMpP3eZ9v+ZYLuIAP+ACAMOGo5wQItNonSZKkriGbbABWsSpq/3jGs5zllFLKNKZxAzewkpWxKFGSJEnqNHHfNqG5Sir5gi8YylCKKAJoWoG7Ti96uSpDkiSpi/o9v+dt3uZLvmza9yIvcg7ncBiHcQ3XMJaxvM7rJJMcw0olSZKkjtelwttkkhnBCJaxjPnMZxnLOJIjm44nkcQhHMJ7vBfDKiVJkrQ17uRORjGKszk7av9jPMZ/+A9f8iVTmMLRHM0u7MKxHBujSiVJkqTOEddtE37Lb3me5ymkkF704kZupBvdeJAHAbid2/kZP2NO4/9+xs+opJJ/8s8YVy5JkqQt8Uf+yAmcwMEczBKWbHRsEUUsZCFDGdpJ1UmSJEmxEdfhbV/68i/+RR55rGQlH/AB+7EfhRQCcCu3kkYaf+bPdKc7H/IhE5hAOeUxrlySJEmb60/8iZM5mfGMZwELNjk+l1z60Y9lLOv44iRJkqQYiuvwtuVb5tryy8b/SZIkqeu5i7uYxCRO5ETWspbe9AagjDKqqSaDDCYzmSd5kmUsYyAD+TW/pphinubpGFcvSZIkday4Dm8lSZK0fbucywGYxrSo/RdyIQ/yICFCjGQk53M+OeSwjGW8wRucyZm+20qSJEnbPcNbSZIkxUyAwEaPV1PNRCZ2UjWSJElSfAnGugBJkiRJkiRJUmuGt5IkSZIkSZIUhwxvJUmSJEmSJCkOGd5KkiRJkiRJUhwyvJUkSZIkSZKkOGR4K0mSJEmSJElxyPBWkiRJkiRJkuKQ4a0kSZIkSZIkxSHDW0mSJEmSJEmKQ4a3kiRJkiRJkhSHDG8lSZIkSZIkKQ4Z3kqSJEmSJElSHDK8lSRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4pDhrSRJkiRJkiTFIcNbSZIkSZIkSYpDhreSJEmSJEmSFIcMbyVJkiRJkiQpDhneSpIkSZIkSVIcMryVJEmSJEmSpDhkeCtJkiRJkiRJccjwVpIkSZIkSZLikOGtJEmSJEmSJMUhw1tJkiRJkiRJikOGt5IkSZIkSZIUhwxvJUmSJEmSJCkOGd5KkiRJkiRJUhwyvJUkSZIkSZKkOGR4K0mSJEmSJElxyPBWkiRJkiRJkuKQ4a0kSZIkSZIkxSHDW0mSJEmSJEmKQ4a3kiRJkiRJkhSHDG8lSZIkSZIkKQ4Z3kqSJEmSJElSHDK8lSRJkiRJkqQ4ZHgrSZIkSZIkSXHI8FaSJEmSJEmS4pDhrSRJkiRJkiTFIcNbSZIkSZIkSYpDhreSJEmSJEmSFIcMbyVJkiRJkiQpDm034e1ll13GvHnzqKqq4uOPP+bAAw+MdUmSJElqR873JEmStKPZLsLbM844g9tvv51bbrmFPffck7fffpsXX3yRfv36xbo0SZIktQPne5IkSdoRbRfh7Y9+9CPuvfde7r33XmbPns3VV1/NokWLuOyyy2JdmiRJktqB8z1JkiTtiBJjXcC2SkpKYsyYMfzmN7+J2j916lT233//LTrXmjVr2rO0TlNUVERRUVGnX/frr78G4JOlIcprw5177eKGyLU/+YTy8vJOvTZAfn4++fn5nX7dHV2sftYBgsEgDQ0NnX7ddb9nVQuqaKju/OvXFNUAUF5e3mX/G9nVrPtvWk3RXBpqqzv12nWrFgOx+28rxO53Dbruf9t3hN/N9prvdcWvVSz/m7Ct6koWAbGZK26rdXNN//+v8/izHhv+rMdGV/1592c9NrpavWp/AaBr/ca1UFBQwNKlS9l///15//33m/b/9Kc/5YILLmD48OExrE6SJEnbyvmeJEmSdlTbRdsEgHA4OoMOBAKt9kmSJKnrcr4nSZKkHU2XD2+Li4upr69v9TbHXr16sXz58hhVJUmSpPbifE+SJEk7qi4f3tbV1fHJJ59w5JFHRu0/8sgjee+992JUlSRJktqL8z1JkiTtqLr8DcsAfv/73/OPf/yDjz/+mPfff59LLrmE/v37c88998S6NEmSJLUD53uSJEnaEW0X4e1jjz1Gjx49+MUvfkFBQQEzZ87kmGOOobCwMNalSZIkqR0435MkSdKOKAB4lwdJkiRJkiRJijNdvuetJEmSJEmSJG2PDG8lSZIkSZIkKQ4Z3kqS/n979x6lVV3vcfw9A4wMSCgoKsbIBImACCmZFxaiGLgMTSGVvNCYLrMjGml5bNmJzHNWlyOVEmYlmIiGV7xEAiuxRI9iCsplvAHjDAqiMAzDTaBpnz/2ZHLRFJ5n/7Z7v19rfRcz+9m4Pqz1OOszv2fv35YkSZIkSSnk4q0kSZIkSZIkpZCLt5IkSZIkSZKUQi7eSpIkSZIkSVIKtQwdQPnSpk0bNm3aFDqGVHTlwObQIaRiawNcAwwGOrHzR8LdEk8kKTC7nvLEvqfMs+tJqeDirRK1atUq7rnnHiZNmsRTTz0VOo5UNA3Ac8BfgL8CTwL+KqvMuRU4AbgDWAlEYeNICs+upzxpwL6njLPrSalQgv/7KUHDhg2jqqqKYcOGUVtby6RJk5g8eTIrV64MHU0qqGOIe84g4DigNTCPf5X7GaGCSYW0FvgS8H+hg0hKC7ue8sS+p8yz60mp4OKtgujQoQOjRo2iqqqKXr16MXPmTCZNmsTDDz9MU1NT6HhSQZUCnwcuBc5r/t7bHpQJy4BTgZdDB5GUNnY95Y19T5lk15NSI3KckDN69Oho8+bNUVNTU7Rq1arouuuui8rLy4Pncpw9nR4QfQOiuyBaAdE7EN0P0RUpyOY4BZnziLiHiPIUZHEcJ7Vj13OyPPY9J9Nj13OcVIxX3iqIAw44gFGjRnHhhRdSUVHBtGnTmDhxIp07d+aaa65h5cqVDB06NHRMabetBFoBs4lvnXsCWBQykFQM84gfVFECvA5s2+H1o5IOJCkt7HrKA/ueMs+uJ6WCd3IoUWeeeSYXXnghQ4cOpbq6mgkTJjBlyhTWrVv33jkvvPAC8+fPD5hS2nNvAT2Biub5NFADbAwZSiq0B0MHkJQ2dj3liX1Pmfdg6ACSwD1vlbCGhgamTp3KrbfeynPPPbfLc1q3bs3VV1/Nj370o4TTSYXVHhhI/CCLE4DewALgceB7AXNJklQsdj3ljX1PklRsLt4qUeXl5WzevDl0DClR+xI/hfjLwLn4AAtl0JHElx5FQDXwQtA0kgKy6ymv7HvKNLueFJSLtwqmdevWtGrVartj69evD5RGKqwziAv8IOIrMNYAc4j3Q3ucuPNIn3j7A1OJ3+gNxK2iPfGbfCSwOlQwSWlg11PWnYF9Txln15NSwcVbJapNmzb89Kc/5eyzz6Zjx447vd6ypZ9PKxtWET+04i/NszhkGKlYphI/xOIC4OXmYz2B24ElxJceScoVu57yxL6nzLPrSakROU5S86tf/SpavHhxNGLEiGjjxo1RVVVVdO2110Z1dXXRueeeGzyf4ziO8zGmgYj+uzj+eSLWpiCf4ziJj13PcRwnQ9OAXc9x0jHBAzg5mtra2uiEE06IgGjdunVRt27dIiA6//zzo+nTpwfP5zjFmNYQtdthQmdynIJMIxF9d3G8HxHrUpDPcZzEx67n5HXse04mx67nOKmYUqQEdejQgZqaGgAaGxvp0KEDAE8++SQDBw4MGU0qqDbAeOLb6TYAa3cYKRNmAzcCB73vWGfgF8BjQRJJCsyupzyx7ynz7HpSKrh4q0QtW7aMrl27AlBdXc3ZZ58NwGmnnUZDQ0O4YFKB/Qw4CfgPYAtwMTAWWAGMCphLKqjRQDvgdeJ9z14DapqPXR4ulqRw7HrKE/ueMs+uJ6WCDyxTosaMGUNTUxPjx49n0KBBTJ8+nRYtWtCyZUuuvPJKbrrpptARpYKoJS7tfwXWAUcCS4Hzga8CXwoXTSq8k4HDiFtFNV6JIeWYXU95Yt9Tbtj1pKBcvFVQXbp0oX///ixdupQFCxaEjiMVzHqgN1AHLAeGA38DugILiT+sliQp6+x6yjL7niQpCS1DB1C+LV++nOXLl4eOIRXcMuLiXkf84fTZxGX+NKAhWCqpwD7odrkIeJf49rongH8klkhSytj1lGX2PWWeXU9KBa+8VdFdfvlH3wxn/PjxRUwiJWcM0ET8EItBwHSgBfEnZlcC3jSqTFgG7E/8xJa1xK1iH2AT8ZNbOjWfcyLwRpiIkorPrqe8GoN9Txln15NSwcVbFd2yZcs+0nlRFNGtW7cip5HC6AL0J94HzZtGlRkjgUuIn9Dyzx/13YDfAL8FngKmAm8BZ4UIKCkJdj0pZt9T5tj1pFRw8VaSiuAC4G5g6w7HWxF3oDsSTyQVwRJgBPDiDsf7AfcTl/tjm7/unGgySZKKzr6nzLPrSalQGjqAJGXRbUD7XRxv1/yalAkHsevd81sCBzZ/vQKf2CJJyiT7njLPrielgg8sU+IOPvhgTj/9dCoqKigrK9vutauuuipQKqmwPui2hk8D6xLOIhXN48S3zV0MvNB8rB/wa2B28/d9gJqkg0kKya6nvLDvKfPselIquHirRJ100kk8/PDD1NTU0KNHDxYtWkTXrl0pKSlh3rx5oeNJe2wecYmPgMeAv7/vtRZAJTAjQC6pKC4ivif0eWBb87GWxG/+i5q/3wC4ViPlhl1PeWDfU27Y9aRUcM9bJWru3LnMmDGDsWPH0tjYSN++fXn77be58847mTFjBrfcckvoiNIe+UHzn2OBccRd5p+2Aq8Tbwm1DSlDegCHEreKl4FXw8aRFI5dT3lg31Pu2PWkoFy8VaIaGxvp168fy5Yto76+ngEDBlBdXc0RRxzBQw89RGVlZeiIUkGMIn6AxZbQQSRJSpBdT3li35MkJcFtE5SojRs3stdeewGwYsUKunXrRnV1NQD77bdfyGhSQU0OHUBKQilQBQwGOrHzY1AHJx1IUmh2PeWJfU+ZZ9eTUsHFWyXqmWee4fjjj+ell15i+vTpjBs3jj59+jB8+HCeeeaZ0PGkPbKG+G6iNUA9H35bQ8dEEklFdiNxoZ8OLMJ7eSTZ9ZR59j3lil1PSgW3TVCiKisr2XvvvVm4cCHl5eXccMMNDBgwgCVLlvDtb3+burq60BGl3TYKmEq819nX+PAfrl6poUx4h/iN/2joIJLSwq6nrLPvKVfselIquHgrSZJ2z5vAIOC1wDkkSZJUeHY9KRV23LFEklQAjwMXAK1DB5GKaRzwrdAhJEkKw76nzLPrSanglbcquvr6eqLoo73NOnZ0Zyhlww3AeUA5cA8wEZgbNJFUBA8AJxJv+rcY2LbD6yMSTyQpALue8sq+p8yz60mp4APLVHRjxox57+uOHTvy/e9/n5kzZ/L0008DcOyxxzJ06FCuv/76QAmlwvsOcDUwDLgQeAJYAkwC7gDeDhdNKpwGYFroEJJCs+spr+x7yrwG7HpSCnjlrRJ133338fjjjzNhwoTtjl922WWcfPLJnHnmmYGSScW1H/AN4FqgBfAn4Cbi2+0kScoKu57yzL4nSSoGF2+VqPXr19OvXz+WLl263fHu3bszf/582rVrFyiZVDyfJ74a46vAOuD3wEHEt9n9GvhusGSSJBWWXU95Zd+TJBWLDyxTotasWbPLKy7OOOMM1qxZEyCRVBz7A1cCC4E5zd+PBLoCPyS+KuPLwKVh4kmFMwK4G3gaeH6HkZQ7dj3liX1PuWDXk4Jzz1slauzYsUycOJFBgwa9tw/aMcccwymnnMLFF18cOJ1UOG8AS4n3PPs9sHoX5zwL/C3BTFLBXQ78D3A78W+ntwHdiC8/mvAhf09SZtn1lCf2PWWeXU9KBbdNUOKOPvporrjiCnr27ElJSQnV1dXcdNNNPPvss6GjSQUzAHgydAip2F4CrgOmAo1AX6Cm+VgH4sIvKXfsesoL+54yz64npYKLt5JURPsDPYh/0L4KvBM2jlRYG4GeQB2wCvgisADoDjxD/OQWSZIyzr6nzLLrSangtglKXElJCd27d6dTp06Ulm6/7fKcOXMCpZIKqx3xnUQjiZ82DNBEvF3UZcQfXEufWAcDbwJvAR2JC30tcAxxoa8k/nhYUi7Z9ZQX9j1lll1PShUXb5WoL3zhC9x1110ccsghlJRs/9M+iiJatvQtqWy4FegHDCPe2z8CjgNuBH4HnBMsmVQAC4FvAbOB04D5wETgF8BXgP7AA8HSSQrIrqc8se8ps+x6Uqq4bYISNX/+fF599VXGjh3LypUriaLt336NjX4+rWzYAAwFntrh+ABgBrB34omkAvom8BPgceBi/vWElrOI3+RLgFuAbUHSSQrIrqc8se8ps+x6Uqq4eKtEbdiwgb59+7J06dLQUaSiqgW+BCza4Xgf4E9Al8QTSQXWlfgKjF7AJcAjQdNISgm7nvLEvqdM64pdT0qJ0n9/ilQ4c+fOpXv37qFjSEX338DPgQPfd+wA4H+B64MkkgrsdWAw8Zv9fuBF4PkdRlLu2PWUJ/Y9Zdrr2PWklHDTKSVq/PjxjBs3jgMPPJCFCxeybdv291ksXLgwUDKpsL5J/BDWWuL9/QEqgC3ETyT+xvvOPSrZaFLhVAAjgHrgIeDvYeNICs+upzyx7ynz7HpSKrhtghLV1NS007EoiigpKfEhFsqUH3yMc39UtBRSEV0MjAP+TPzb6eoPP11SPtj1lCf2PWWaXU9KDRdvlaiKiooPfb2uru5DX5ckpcCjwNHAGOCOsFEkpYtdT5IywK4npYoffStRFnblxW3AJGBO6CBSMbQAjgDeDB1EUtrY9ZQn9j1lll1PShUXbxVEz549qaiooKysbLvjjzziIyyVDe2AWcBy4mJ/O7AiaCKpgIaEDiAp7ex6ygP7njLLrielitsmKFGVlZVMmzaNPn36vLf/GcR7oQHug6ZM6QCcD1QBhxNvFzUR9/qXJGWXXU95Y9+TJBVbaegAypcbb7yRmpoaDjjgADZt2kTv3r0ZOHAgzz33HIMGDQodTyqoeuAm4EjiLaOWEG8ZtQL4OfHTiSVJyhK7nvLGvidJSkLkOEnNO++8E/Xp0ycCooaGhujQQw+NgOjEE0+M5s2bFzyf4xRjDoToaohehmg9RL+HaCZEWyEak4J8juM4jlOoses5eR37nuM4jlOs8cpbJapFixZs2LABgNWrV9O5c2cAamtr6dGjR8hoUkG1BIYDjwC1wFnAL4CDiG+rGwpcAPwgUD5JkorBrqc8se9JkpLgplNK1KJFizjiiCOoqalh7ty5XH311WzdupVLLrmEZcuWhY4nFcxK4n1p/kB8C92LuzhnJtCQYCZJkorNrqc8se9JkpLgA8uUqCFDhtC2bVumTZtGZWUlf/zjHznssMNYs2YNI0eOZPbs2aEjSgVxPnAvsCV0EEmSEmTXU57Y9yRJSXDxVsHtu+++rF27NnQMSZIkFYFdT5Ikafe5bYISMXHixI903kUXXVTkJFJy+hPvfVYBlO3w2ojk40iSVDR2PeWVfU+SVGwu3ioRVVVV1NbWMn/+fEpKSkLHkYruHGAyMAv4YvOfnwUOBKYFzCVJUjHY9ZRH9j1JUhLcNkGJmDBhAiNHjqSuro5JkyYxZcoUb59Tpr0I/Aa4GWgE+gI1zcdWAj8MlkySpMKz6ymP7HuSpCS4eKvElJWVMXz4cL7+9a9z3HHHMX36dCZOnMisWbNCR5MKbgPQG6gF3gFOBBYBhwGzgc7hokmSVBR2PeWNfU+SlITS0AGUH1u3bmXq1KkMGTKEXr16sXjxYm6++WZqa2tp27Zt6HhSQdUD7Zq/fhM4vPnrfYA2IQJJklRkdj3ljX1PkpQE97xVEFEUEUURJSUllJb6GYKyZw7x3meLgHuAG4GTmo89FjCXJElJsOspD+x7kqQk2KSUmLKyMkaOHMmsWbN45ZVX6NOnD6NHj6aiooKNGzeGjicV1GhgavPXPwZuAA4AHgB8zrYkKYvsesob+54kKQnueatEvP8hFrfddhtTpkyhvr4+dCxJkiQVgF1PkiSpOFy8VSKampqoq6tj/vz5RNEHv+VGjBiRYCqp8Jr49z9UI6BVAlkkSUqKXU95Yt+TJCXJPW+ViMmTJ39okZey4swPee044HLiT80kScoSu57yxL4nSUqSV95KUpH1IN4H7TTgTuC/gOVBE0mSJKmQ7HuSpGLxgWWSVCQHAb8FFhDf5tAPqMIiL0mSlBX2PUlSsbl4K0kF9ingJ8ASoDcwGDgdWBwylCRJkgrGvidJSop73kpSAX0X+E/gLeCrwMNh40iSJKnA7HuSpCS5560kFVATsBn4c/PXH8RnbUuSJH0y2fckSUnyyltJKqDJ+ImYJElSltn3JElJ8spbSZIkSZIkSUohH1gmSZIkSZIkSSnk4q0kSZIkSZIkpZCLt5IkSZIkSZKUQi7eSpIkSZIkSVIKuXgrSUVy7aX1HNr11NAxJEmSVAR2PUlSEkqAKHQISfokalveieOPvJLuhwyhXduD2LR5NatWL+TZhbfw+ptP0La8E+9uaaDpH1tp364Lo897kVvvHciqNYtCR5ckSdK/YdeTJKVBy9ABJOmTqH27LnztjEd5d0sjs5/5IW+vWUxpaSs+0+Ukhg74Gb+5+xg2bn47dExJkiTtBrueJCktvPJWknbDOafeTacOvbll6tFs+/um7V7bq+xTbNnayLWX1nPvjPN59fU/ce2l9dudU7viSf76tx9z3rAHGT+lz3blf/Cx19N5/89xx8PDEvm3SJIkaXt2PUlSWrjnrSR9TK332oduXQbz/OJbdyrzAFu2Nu50bNL9gwG485Ez+OXth3HfzFEsX/k0Detfp8+h57x3XklJCw7/7Fm8+MpdxfsHSJIk6QPZ9SRJaeLirSR9TB3af4aSklLWrH3tI/+dTe+uBmDzu/Vs3Pw2725pAOCFl6dwRI9z3zvvs4cMoVXLcl5a+mAhI0uSJOkjsutJktLExVtJ+thKAIgKsOvMgpf/QIf2lXTu1B+Avj3O46WlD+3yKg9JkiQlwa4nSUoPF28l6WOqX7eUKPoH++176B7/tza9u5rXamfS97BzadN6P7pVfJEXX7mzACklSZK0O+x6kqQ0cfFWkj6md7c0sGz5bI7qfTGtWrbZ6fW9yj6107Gmpm1AvM/Zjl546Q56dRvOkb2qWNtYwxtvzS18aEmSJH0kdj1JUpq4eCtJu+HROd+htKSUC4f/mR6Vp7Fv+8/QcZ9D6X/4JVSdOWun8zdufodt2zbRrWIwbcv3Z6+ydu+9tnT5Y2zZ2sjxR13FAh9eIUmSFJxdT5KUFi7eStJuWLe+jon3n0jtijmcfNz1XHL2U5w77AEqDx7Io3Ou2un8KGpi1lPf43M9q7jigmrOOuX9t8tFLHjlD5SWtGDhq3cn94+QJEnSLtn1JElpUQIF2IVdkrRHTj3hl7Qt3597Z5wXOookSZIKzK4nSdpdXnkrSQHtVdaOrgefwOHdv8Jzi34XOo4kSZIKyK4nSdpTLUMHkKQ8O+uUO+m8/5HMe+l2at74S+g4kiRJKiC7niRpT7ltgiRJkiRJkiSlkNsmSJIkSZIkSVIKuXgrSZIkSZIkSSnk4q0kSZIkSZIkpZCLt5IkSZIkSZKUQi7eSpIkSZIkSVIKuXgrSZIkSZIkSSnk4q0kSZIkSZIkpZCLt5IkSZIkSZKUQv8PTLNYOBx9gH4AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1400x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create a figure with two subplots\n",
+    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(14, 6))\n",
+    "fig.patch.set_color('#000000')\n",
+    "\n",
+    "branch_counts.plot(kind='bar', stacked=False, ax=ax[0], edgecolor='black')\n",
+    "ax[0].set_title('Count by City and Branch', fontdict=subtitle_font)\n",
+    "ax[0].legend(title='Branch', bbox_to_anchor=(1.02, 0.5))\n",
+    "ax[0].set_xlabel('City', fontdict = label_font)\n",
+    "ax[0].set_ylabel('Count', fontdict = label_font)\n",
+    "for label, color in zip(ax[0].get_xticklabels(), colors_xtick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax[0].get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "    \n",
+    "# Data for City and Gender count\n",
+    "gender_counts = df.groupby(['City', 'Gender']).size().unstack()\n",
+    "gender_counts.plot(kind='bar', stacked=False, ax=ax[1], edgecolor='black')\n",
+    "ax[1].set_title('Count by City and Gender', fontdict=subtitle_font)\n",
+    "ax[1].legend(title='Gender', bbox_to_anchor=(1.02, 0.5))\n",
+    "ax[1].set_xlabel('City', fontdict = label_font)\n",
+    "ax[1].set_ylabel('Count', fontdict = label_font)\n",
+    "for label, color in zip(ax[1].get_xticklabels(), colors_xtick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax[1].get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "    \n",
+    "# Add a super title for the entire figure\n",
+    "fig.suptitle('City Counts Analysis', fontsize=18, fontweight='bold', family='serif', color='#DC143C')\n",
+    "\n",
+    "# Adjust layout\n",
+    "plt.tight_layout(rect=[0, 0, 1, 1])  # Adjust rect to fit the super title\n",
+    "\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2959ad17-c93e-415e-a6f5-b05c70902a7f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "a84387ea-30e1-4574-aedf-333ed7f64c9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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3fctxT41S+MBLJUnFO9J16PVP5M7O1d7bnlDTXz6VpVGk730t+3nl/H29mq34zPe5V7w9TY5P5lbrfgIAcLJhTEIAMBD3wSzvrJilmKoxq6TrYJYOvVXyC50pNFj2ziXdWu1nt5UptKSL76E3p8l1MKsaNa4aa9MkX0AolQ8+ywajtcV+Zhu/sd1Kt66TpEPvfu77Orx/d5ljS8YKzP36J2/X0sNcWdnKnbdEkTdUrbVR6TEmjwjEjKGFZSZByf12mTxut2/ZHBaimHG3KbRn1+M+du63y1Xwy+++Zfs5Z/gCQqnM/Xa7dfDZo8/YHHrZeb6vy7VWc3sUcrhFkiRZTim13eWS8/e/fIvO1Rt8AaMkBbU71dcd2WQ2+4Wk2f/5RsV7Dxy1XlG3XOW3nPTxRF+ryNpQU89iyOHQTfIG/sGdzyg5xp4M5c7+QZK3hVdWqUDNekq8rAmxvmX7WSUteQuWrVLBb+urfC3xr43zCwg9Ho88xcUKat/Kr1zp7tOVCb205Pk41mdK1nv+rdBCLujk+9pksyrkgo7HPF9lyn5vm0MrnmH+yLWWe5XqNJT11nRfQCh5w/iSr9uUPpgOvVl5aCdJIRd28us+X/oeuQ9m+U2IlPPVIr9ZtoM7t/MFxpIU0v3co57r4Asf+C3bz6643u6DWcr+dN5RjxUxqKcvIJSkyFsGKHHKs0fdBwAAoyAkBAADqakBJvJ/TJWnoNC3bE2M83VDlrwt0qyJJb/0ewoKlf/TrzVz8gqUDhgklRuw333QUWvn9qtHcuMyy/7BU/G2PSre423tZ7IHKfKGviUbi4rlmDrHt5jzxUKZgoIU1r/8GIAVqiejh5S95sznJml7+0Ha+4+n5Ph0noozDipiSB9FXNvnuI+d993P/uc6xf9cZc/tXLVOxfsyKz2epXFJS8Cyz4w5NtqvtVbpQEOS3JkloXfe4TEdfWWjI/xCGnNkeMnGYpcKflmtSlksCioVKkpSUJsWx9Xl9njV1LNYto6WMt8P+YfHX8xfmioVlcyUbo6OLHO//Fv05S+t+meHp7hYjo9ma/fAu7W1TT9tSeyuLUk9tLPrjX7lqjKrsyUxrqSOocF+21ylPlM8RcUqWOkfGpb7LEjyXz4uVfzeznprurYk9Sj3yp7+ta9MuWc1quRZLftHhfzlv/kF/GWVvj+S/AJ7yf8eFfz8u9+2ss+KNcn/WKUV7z2gwj83+58rMryk3hHH97zYywwnYYlr5GtpDgCA0dHdGAAMxBIbJVktfq0JPdXoAle00/8XbFMFLVvKriu7T42yHf1/Zx5X9ScNOB5lJ7MwlQkWJKk4bZ/vF+TIm6/SoTenS4d/EXdMnaNG9w2VyWqV45O5Ch90WblfvCtzZPy+0tzV7N54IoLPbS9753Z+Y9y59h1UzhcLlfPFQslqUfjASxX37D0Vzrp8NMU7/CfLKBvcVHi/d6X7xjMsx1Iq2Db7/93UZCnzd9Qy2z2ukvCkeLf/5BB5Xy+tcIKXysr7VSk2qlxd6kJNPItln/+y709xmrd1YtnJNAr/2Hj0+1XJ5Btledxupd3wkG8iHgXZFPPoHQrpepZcB7OUflPJ5C4eZ2ElRylhOtrnSqnPFNfBLKmwyH/fss9mcNW+jytiiY9V0YaSyabcuRV/X4df01vBF5wtx0ezlV0q5C2t7LO3d1jlkyF5cvPlPpRd6ffpUe+P5HePSrdMlY7v/lT0/bKtdd8KSh4pn1HpNsk7FikAAKgYISEAGIjJbFZw5zP8Ji4p2ra7Bg5cwboyrV+qO4ZWg1ZRC6BS98HWPFmhPc71DarvStun3K+XytYsWYVrNvrGy6sKW5MEWU+J9/sFuWjrnurXvZpMZrOSv3hFB1/4QNmfL5D7QJlu5sUu5XyxUK69B5Q8498VH6TKJyvzTB3jfteaMucNvuBsxY6/q9Li1sTKW02Z7EE1Vq3jUZPPok+Zt8P3GVBmva1VU8W//Xilh6lqmJw7Z0lJQCgp6rar1ehubwvCqrQcrK+Cu7RXQanWcUU7ys8sLXlnNLbGxyjv2+WVH6zMsxr71EgFd+1YafFADFlQTgXf18mzXpMprOJu1xXNPO63PUDfYwAANASEhABgMOGDe/qFhAWpa+VxuXwDzFdk//g3VbRll6JuHazQ7l1kS/GfUKLsRCCS5Mkv8Fu2piSWLJRtpVXml0BPqa6IDUnZ1kmefGe5MmUDosjhA/1m3sz6YKaCWjdXUNuWCu7UruzuRxU+6DK/wf8L/rfm6PX1eLRv9AS5HDmKeXCE7IfHbSvXiu443x9zeKjinhql2H/+XQUr1yp/2a/KmbXIN+O1JOX/9KuKdqRVODlJZaxNE/2W3WWeu4ru95EZemuTNcm/66TJaqnyDNn1yYk+i2Wff3eZzwDL4SEIynbFlctdI/er9HiVkmpmMqIqsMREyWQP8rv+IzNh+5YLyj+bVRU+8FLvrMKHvw89OXlyrtsie9uWx30sa1K83wQklsYxdfKslu1ufTz3p6Ku9raWTU6sCzcAAKgQYxICgMFEDu0v22nNfMvuTIdy5/1YafnCzTuV9dZnyl/0PwWd3kKSFHJxZ5mCS1pjFKfv9xu7yuPxqDi9ZHIGU4jdfxKI6JLJPST5jW8oeVsx1aqjtC4r/GurirZWr3Xlke6UvuU9/t3erM2Ty/3CG3p5V1lLBVkFS39V9vSvFVHFCUtKi777JplLzeRZ+Oemo076kP9TqrI/W6CCFX/I1irFt95c7v3x/wW++CjvT/4vq7XjgpvkcuTIZLUq5PwzFTNmmFKWTFFIqYkgpDITMlTSxdaV6ZBzzUa5c/MVenk3/3qU6VZYtluivXM7WeJqv2thyMWd/ZYLS3UNLW3vXU9rc1J3FW2v+xaeVXGiz2LZ58K1x385pFtH778XnC2V+qNE0a50uSsIeA9O/D9tTuyu/GWrqnYBZb+vbSUtymqz673JZpX9nDP81pV7Nk/gM83e7lRFDOntt670OIPHoyrPqjsnT1uaXa7dg+4pt626grue5bdc/v74f3aWZk1qLFupiamkiuudt2SlNid218EXJ59ATQEAMDZCQgAwGJPNqqSPn/ObtGH/Y6+raGf5LmzufKcy7npa8ngUPfJ6Xys4S0yUou+63lfOk1fgNwadM3WtPHklrbyiR9/oN+tvcJlfqIt2lIQmhRu3V3kMsuqyxPp3X3QfbtXicbu1q8/ftf+fb1TruM7Vf8mVWTJYf9lwI/rOIeX2MZnNihw6wG+dp6hIEX/rddzntzSKVNLU5/zGg9x3z0S5DmWXK+van6l9978gSYp99E6/iTnsZ7f1D3G2l3TVdB3KlvMowaMnN19FG7Yr++O5futNZrNszZJLVgTZ/H7xL9ul9EhLI8cnc7Xr0ltVtHmnwi7vquDzS8IG58o//cKl/KWl7rfZrJhH76i0njUp+JwzFHxhyWy2rrR95d77ou17lDv/J4Vc2Mn/PtQjJ/os5i9e4fvaXeD0mwHYkhyvsAHecQetSY0VcU2pYxYVK2fW937Hch3KlmP617K1bFIuYKpM2SCpaMM239cFhydNqS3Rd17jt5y/vOT99xQVK3/ZiZ0/7oUxsndp71t2TJpReXjqqnyykai/D/H7A0/uV4vkKTOeYtaUWfLkFShyaP8TqnNp4QN6+E10UpD6p9yl/viQv/h/Fe3mE33PTX7LOf/5plyZrHc/lyzmak2KBAAAvOhuDAAGZGvZRE0WTVLG6AnKX7xCrrR92tV9uCKHD1Twue1lslpVuGGbst7/UsU70hQxtL8aPTjc7xiNHrpVxfsO+gbIz7jnOcU8crtMZpMOTHjfVy5y2FVq9MAwv33tZ7VRyCXnKH/JSklS9rSvZW9/mmQxK+vtz8uNref8bb3cOXmytztVzrWbVbRph9/x3I5c5f+yWsFnn67CzTtVtGWX3/biXXt92032INlOayZr0yQVHx6nrOCX1cr9ZpkK/rtanpw8hZZpbVORgt/Wq3Ct/4ybJnuQ0m98SNGjrpcrM1uHXv3Yty2s3yWKHDG4wmNF3NRPB1+a7JvxNaz3BdVuARd8zhlq8t37yrjrGTl/W6/CtVu088Khirp1sILObC253Sr8Y5MOvf8fuQ861OjBWxV5Uz+/Y1gbN1LE9Vf4gr68hcuVNXmmLPGxynr3c1mTGvvd48K1m2UKC/Hrtnjg6XdUtG23Qrt3kSkkWAWpf8rxSUlwGPPQCFmiInzLoZedp9zZP/iWsybPUuhl58rx4VeyxMco6HDXysTJTytt6DhvQOjI0d7b/qmo265W8a69OvRv7/022YMU9+IYhR5uvepxFqpg1fpy4XPRll1yrt0sS+MYFW3e6bfN4yxU/i+rFdSupYq27Kpw3/xfVvu6tCa8/bjShoxR4botkqS9tz+hRmOHy3Zqioo27lDma5/I0ihSjf/1YMl927xTrjKzLx85r3Ri3WWPHKNsF+Aj9bY2SaiwK/aJPIuOqXNkjgyX/aw2cnz4ldyHw2lTeKgS3nvCL4iOe+4+Fe1I84V3+x9+Va79mbKf1cb7Xr45TZ68fCV8NKHKE7lEXNNLmS9N8bVQPfTGNFmTGsudkyvHR7P9yh75zLCd6m1BW7R5p9yOXL8yzt/WS2azTPagSp+PI/cx7IqLFHXb1cr6vy+99+KTebK1bCJbyxQ5Ppotd7b/scs+P8diDg1W8oxXdWD8W3JM+UoeZ6H2/O0+Rd7QVyE9zpU5Mkyu9P3KW7xCOTMPB64mk0Iu6uQ3m29Qq6aKf/MxZYx8Rp6CQhVt2aW068cqasRgyWpV/uIVypo8UxHX9lHE4J6+/fJ/WV3h52rBb+sV3PF05f+yWq79h/y2l/5cMIcGK+HdJ5R2/YPy5HknRMn4+1OKvOUqOVdvkKPMHxVKvz/Wxo0Ued0VKly3RVlvTZckZX+2QKbQYIVdcZHc2bnKnjZfeYv+p8Yvj/UNYeBy5Khw7ZYK6yWLxXdsAABQwuTxVDTKNwDAKAp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+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Aggregate data by Customer type and Gender\n",
+    "data = df.groupby(['Customer type', 'Gender']).size().unstack().fillna(0)\n",
+    "\n",
+    "# Get unique values for Customer type and Gender\n",
+    "customer_types = data.index\n",
+    "genders = data.columns\n",
+    "\n",
+    "# Create a color map for Gender\n",
+    "colors = plt.cm.Paired(np.arange(len(genders)))\n",
+    "\n",
+    "# Create a figure and axis\n",
+    "fig, ax = plt.subplots(figsize=(14, 6))\n",
+    "#fig.patch.set_color('#000000')  # Set background color of the figure\n",
+    "\n",
+    "# Plot bars for each Gender\n",
+    "bar_width = 0.35\n",
+    "x = np.arange(len(customer_types))\n",
+    "\n",
+    "for i, gender in enumerate(genders):\n",
+    "    counts = data[gender]\n",
+    "    bars = ax.bar(x + i * bar_width, counts, width=bar_width, label=gender, color=colors[i], edgecolor='red')\n",
+    "\n",
+    "    # Add bar labels\n",
+    "    ax.bar_label(bars)\n",
+    "\n",
+    "# Customize the plot\n",
+    "ax.set_xticks(x + bar_width / 2)\n",
+    "ax.set_xticklabels(customer_types)\n",
+    "ax.set_xlabel('Customer Type', fontdict=label_font)\n",
+    "ax.set_ylabel('Count', fontdict=label_font)\n",
+    "ax.set_title('Count by Customer Type and Gender', fontdict=title_font)\n",
+    "ax.legend(title='Gender', bbox_to_anchor=(1.02, 0.5))\n",
+    "\n",
+    "for label, color in zip(ax.get_xticklabels(), colors_xtick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax.get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "    \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b2319a88-25ca-468d-884b-9e7c743c5c46",
+   "metadata": {},
+   "source": [
+    "### Percentage of Gender in Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "b21e37eb-0bf0-4ce0-a39d-7e3b3264a8ca",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "g_count = df['Gender'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "62969bb8-77d9-40a3-a6aa-5d2420301435",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create a figure with two subplots\n",
+    "fig, ax = plt.subplots(figsize=(14, 6))\n",
+    "fig.patch.set_color('#000000')\n",
+    "\n",
+    "labels=g_count.index\n",
+    "# Pie chart on the first subplot\n",
+    "ax.pie(g_count, autopct='%1.1f%%', colors=colors_bar,\n",
+    "          startangle=140, wedgeprops=dict(edgecolor='green'),textprops=dict(color='#ffffff'))\n",
+    "\n",
+    "ax.set_title('Gender Distribution', fontdict=title_font)\n",
+    "\n",
+    "# Adding a custom legend\n",
+    "\n",
+    "legend_elements = [Patch(facecolor=color, edgecolor='green', label=label) for color, label in zip(colors_bar, labels)]\n",
+    "# Adding a custom legend\n",
+    "legend = ax.legend(handles=legend_elements, title='Customer', bbox_to_anchor=(1.02, 0.5), loc='center', fontsize='12')\n",
+    "\n",
+    "# Set the color of legend text from the predefined list\n",
+    "for text, color in zip(legend.get_texts(), colors_bar):\n",
+    "    text.set_color(color)\n",
+    "\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "a44c6dce-89ef-4de6-a50d-8e610dbda2e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c_count = df['City'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "fc433141-ed6e-48d2-91fc-16d712c0f45f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create a figure with one subplot\n",
+    "fig, ax = plt.subplots(figsize=(14, 6))\n",
+    "fig.patch.set_color('#000000')  # Set the background color of the figure\n",
+    "\n",
+    "labels=c_count.index\n",
+    "# Pie chart on the subplot\n",
+    "wedges, texts, autotexts = ax.pie(c_count, autopct='%1.1f%%', colors=colors_bar,\n",
+    "                                  startangle=140, wedgeprops=dict(edgecolor='green'), textprops=dict(color='#ffffff'))\n",
+    "\n",
+    "ax.set_title('City Distribution', fontdict=title_font)\n",
+    "\n",
+    "\n",
+    "# Adding a custom legend\n",
+    "\n",
+    "legend_elements = [Patch(facecolor=color, edgecolor='green', label=label) for color, label in zip(colors_bar, labels)]\n",
+    "# Adding a custom legend\n",
+    "legend = ax.legend(handles=legend_elements, title='Customer', bbox_to_anchor=(1.02, 0.5), loc='center', fontsize='12')\n",
+    "\n",
+    "# Set the color of legend text from the predefined list\n",
+    "for text, color in zip(legend.get_texts(), colors_bar):\n",
+    "    text.set_color(color)\n",
+    "\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1629905f-15ac-43e0-af55-792f6624afd5",
+   "metadata": {},
+   "source": [
+    "### Distribution of Product Line"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "790fef4e-aa2c-4bf2-a9d2-c04a715a502f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p_count = df['Product line'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "71411eb1-e4a9-423b-8010-bd3045dfc38d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create a figure with one subplot\n",
+    "fig, ax = plt.subplots(figsize=(14, 6))\n",
+    "fig.patch.set_color('#000000')  # Set the background color of the figure\n",
+    "\n",
+    "labels=p_count.index\n",
+    "# Pie chart on the subplot\n",
+    "wedges, texts, autotexts = ax.pie(p_count, autopct='%1.1f%%', colors=colors_bar,\n",
+    "                                  startangle=120, wedgeprops=dict(edgecolor='green'), textprops=dict(color='#ffffff'))\n",
+    "\n",
+    "ax.set_title('Product Line Distribution', fontdict=title_font)\n",
+    "\n",
+    "# Adding a custom legend\n",
+    "\n",
+    "legend_elements = [Patch(facecolor=color, edgecolor='green', label=label) for color, label in zip(colors_bar, labels)]\n",
+    "# Adding a custom legend\n",
+    "legend = ax.legend(handles=legend_elements, title='Customer', bbox_to_anchor=(1.02, 0.5), loc='center', fontsize='12')\n",
+    "\n",
+    "# Set the color of legend text from the predefined list\n",
+    "for text, color in zip(legend.get_texts(), colors_bar):\n",
+    "    text.set_color(color)\n",
+    "\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "786ff310-c810-4582-8915-6a2c8e76c593",
+   "metadata": {},
+   "source": [
+    "## Branch Distribution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "dac16659-41f6-46d0-9e4b-06bc8ef30f9d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "b_count = df['Branch'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "85dab2ec-8bcf-45b4-9fee-e9cec2ed53cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1400x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create a figure with one subplot\n",
+    "fig, ax = plt.subplots(figsize=(14, 6))\n",
+    "fig.patch.set_color('#000000')  # Set the background color of the figure\n",
+    "\n",
+    "labels=b_count.index\n",
+    "# Pie chart on the subplot\n",
+    "wedges, texts, autotexts = ax.pie(b_count, autopct='%1.1f%%', colors=colors_bar,\n",
+    "                                  startangle=120, wedgeprops=dict(edgecolor='green'), textprops=dict(color='#ffffff'))\n",
+    "\n",
+    "ax.set_title('Branch Distribution', fontdict=title_font)\n",
+    "\n",
+    "# Adding a custom legend\n",
+    "\n",
+    "legend_elements = [Patch(facecolor=color, edgecolor='green', label=label) for color, label in zip(colors_bar, labels)]\n",
+    "# Adding a custom legend\n",
+    "legend = ax.legend(handles=legend_elements, title='Customer', bbox_to_anchor=(1.02, 0.5), loc='center', fontsize='12')\n",
+    "\n",
+    "# Set the color of legend text from the predefined list\n",
+    "for text, color in zip(legend.get_texts(), colors_bar):\n",
+    "    text.set_color(color)\n",
+    "\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b279b2c6-3799-4e50-80f5-843c00df2b10",
+   "metadata": {},
+   "source": [
+    "## Customer Type Distribution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "24f11e4c-a3f5-4183-9d4b-00902c8a879b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c_type_count = df['Customer type'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "7ccd7ff9-0bc9-4c3a-8afb-e91b7f16b1e7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create a figure with one subplot\n",
+    "fig, ax = plt.subplots(figsize=(16, 6))\n",
+    "fig.patch.set_color('#000000')  # Set the background color of the figure\n",
+    "\n",
+    "labels=c_type_count.index\n",
+    "# Pie chart on the subplot\n",
+    "wedges, texts, autotexts = ax.pie(c_type_count, autopct='%1.1f%%', colors=colors_bar,\n",
+    "                                  startangle=120, wedgeprops=dict(edgecolor='green'), textprops=dict(color='#ffffff'))\n",
+    "\n",
+    "ax.set_title('Customer Type Distribution', fontdict=title_font)\n",
+    "\n",
+    "\n",
+    "legend_elements = [Patch(facecolor=color, edgecolor='green', label=label) for color, label in zip(colors_bar, labels)]\n",
+    "# Adding a custom legend\n",
+    "legend = ax.legend(handles=legend_elements, title='Customer', bbox_to_anchor=(1.02, 0.5), loc='center', fontsize='12')\n",
+    "\n",
+    "# Set the color of legend text from the predefined list\n",
+    "for text, color in zip(legend.get_texts(), colors_bar):\n",
+    "    text.set_color(color)\n",
+    "\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4af04e68-2f6f-4104-8ac6-1a017e571029",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "03af4313-9972-4987-b9cd-04b2d29d8a8a",
+   "metadata": {},
+   "source": [
+    "## Distribution Of unit Price By Product Line"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "a46701bd-fcf2-45c8-8ec7-710c92a718f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Prepare data for plotting\n",
+    "product_lines = df['Product line'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "4ae92fb5-5919-4c1b-84bb-5e63a3eb32ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create figure and axes\n",
+    "fig, ax = plt.subplots(figsize=(10, 8))\n",
+    "fig.patch.set_color('#000000')\n",
+    "\n",
+    "# Box Plot\n",
+    "box_data = [df[df['Product line'] == product]['Unit price'] for product in product_lines]\n",
+    "# Plot each box with a different color\n",
+    "box_colors = colors_bar[:len(product_lines)]  \n",
+    "for i, data in enumerate(box_data):\n",
+    "    boxprops = dict(facecolor=box_colors[i], color='black')\n",
+    "    whiskerprops = dict(color='black')\n",
+    "    medianprops = dict(color='red')\n",
+    "    ax.boxplot(data, positions=[i+1], widths=0.6, patch_artist=True,\n",
+    "               boxprops=boxprops, whiskerprops=whiskerprops, medianprops=medianprops)\n",
+    "\n",
+    "# Customize legend for boxplot\n",
+    "handles = [plt.Line2D([0], [0], color='red', lw=2, linestyle='-')]\n",
+    "ax.legend(handles, ['Median'], bbox_to_anchor=(1.02, 1))\n",
+    "\n",
+    "# Set title and labels\n",
+    "ax.set_title('Distribution of Unit Prices by Product Line', fontdict=title_font)\n",
+    "ax.set_xlabel('Product Line', fontdict=label_font)\n",
+    "ax.set_ylabel('Unit Price', fontdict=label_font)\n",
+    "\n",
+    "# Customize x-ticks\n",
+    "ax.set_xticks(range(1, len(product_lines) + 1))\n",
+    "ax.set_xticklabels(product_lines, rotation=45, ha='right')\n",
+    "\n",
+    "\n",
+    "for label, color in zip(ax.get_xticklabels(), colors_bar):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax.get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "935ee41c-c70f-47b9-a4cd-3c45298a939a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8aa7c2de-dd8b-4b5c-8e12-f8e52d2fc771",
+   "metadata": {},
+   "source": [
+    "### Distribution Of Tax By Product Line"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "7376ced4-6196-438b-bcb1-214f7024a400",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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4tbf25FjteK89HdimG9JK48fJOc5C/bZtg7yKyirpHFeRHvLt2SzxuzLLVaRZ3Vq5g2ZU74Yada+3okuQ6kn3++vNsOojYZ3myP/Sx/iUbu/ZzhdEOh4rUSySjnBkd9m2NrxjC/micIsm1i3oleMi2boPn/F169WTbdjj/59mz+pyUaLJDKtz/5vuPaGm2rO07EteVAWA/oTgDRwgunc9lmIty3tiUbhZn4WaNcGeGd9WYHHE1wcPmVG9FKjVL9vWqXEPuyvvSu0uWs++jO5dv33dPvj1NGY12QZanV1ud6+5p20Dd9F1vfuFjO6se7Gu7yBL15/j3eH57Xo73WJTjmHb467siXSte5BuTCuL337CX6XnAjVqMyN6IGO0itqfd2cPYVyS3gk16kl/lc5r70JsMwy9EajTO916VXxZe3OsNplh/S9QG59oLd1i09muQj3qr9IMR65yDXt8wqx98VawPj6G3TRNtZoRbY0GFNrDSyl1OwnB+3KMd3/Pdp/cy5/ApeOyDfsO59Odrcfel9Zp3xe7O390Hi40oNvrOsaWrlU9TCwX39/i3Ol9AJBKCN7AAWJIt1AWMqNdxuTtiinpkqZl+k5aqc5xFirXYu9yv92waKarUAUWhy7phfF6+3u95b7SErsre1Jjsn4Ps9tP7inC94XnuMCwd5l9fGmoRT9uXRO/vadBclm4Ved1uj3Nka3BFqc27YelyrpX+Ii/sssM5xe5SvSov0rnOYv0bqihV1p+G6KhfWqR3LEdu2d9+RjvrK8e331F9+dnbdirG1u/2On+DXs5ZwcA9FcEb+AAcWi3rpkfhJr2qgukV1Hd0bZed7at1wRbpqbas3S6M18jbWnxfaY7sjXQ4uyVJYt6U/fWS3e31qru3SgjpilrewtO9w+R9r1oGd4XW7p1nfX00GOh+++xpYdlnhJhc9SvEfLEb3dv/XN1e75bo+Fe6QmxrybaM7t0K//kS4x9LrE4dJOnTGvDXg23xZ6DNMOq32SM1IW9sBTU3h6rS8KtWhZujY+THWVL02mOfB3jyNF3W1btcz2JtC/HeHW3c4y722Ca7sdgT77s+7zBDKnNjHQ57jN7qL0vcchQVLtvue4N3YdHWA2DruQAICZXAw4IAyxOHWnPjt+OmKZ+3z5j856YbMvUK9mTlG5YFVFsdt77fZt0euOnervb0kH5nVrDo2bPH/KyDJtGW9N2+LCcKN27pXZfwuajbpODNXUKid0/wO9Jt/SdtdfnG3aNtqbJtgfh/f1Qo/ydLowUWRw7fFfnyaV8ZqTLmuSJNLfba17cratoSbfb80INfaJFsHsNwW7HZ0/DMbq7Lf0gbYz6dU7jZ1rTaVzvYfasLkvTfVl7e6xK0qPdJlm7PX2EWsyI3trLZff2t305xj8Kdb1oUtKte/OevE+/7Ps8Kun9YGOXbSNsnh32O8tZoHk5h3ZZUm9XfXlGW9NUkqBhL6/lTNZt6SMS8tjdfRhqUrjTe2uAxSlnD+f673qGaGXeETusGQ4AqYrgDaQ4jyy6K2Nkl8lubmtbp8V70QKRZlg0wubRBZ2WxpFiQWZTp1bWoBnVuk6z3TZ0G6vd0aJ1nqtIL+RM3GG29ETpfNFBUpcPemHT1H+6BZfOE7nlGHZ5Op0qj+o2sVhPuned7LjAcL1nsF7ImSjPHrTGNZph/d23JX7bY1g1odPM4xNsGV2C4l+9m7sEiUR60l/dZYbjqd0+OHe+7TMjuq99fHCyre+2RNRBncLSQVaPcroNoehutrNIU+1Z+mHLF/Iqqh+1ru4SMG5KK1OpZddLxO3OkZ1CmkNGl9e8MhLQS51m++/wfKBGzdHtr326xabnAtv2uOt8suzLMf5yoLbLhGoTbBnqHNs7P487sy/v8/u8FV2GxJzZabnFDl9xFSvLsHWZ5X9n54Zcw6YXcibqCnfPS6D1J9XRoJ7tNLeAw7Do9E6z8UuxHgLnOou0IeLr8WISAKQiupoD/dQEW4asMroEakkaafUobJrKMKw62Jaur7iK461BtdGgfta6Vq91m/l6si2zy/JQUqzVcrItU0s7fTi9yVOqIRaX5oca5DejmmDL0PmdwvjvvRu7TCb0drBBp3X6QHqhq1jvBBt0oatY26JBfRHxaqwtXSOtXVuL8ix2TbZlqsUM64tOYSndsGqUNU153QLSSKtHbWZEX4TbNM6WsUOLa5nVrV+nH6SXAjWaaM+Mr+EtSbe3reuyJrkk/c27WcfYc2Q1DFkMQ79IH6HnAzWabs/aaa2rIm3xrvvvhBp0SKfldS53D9TaiFenOQu0LNyqZjOy2+c8KFN/8FYo3+KIrwV8R/pButu7UVGZutFTGv++R3yVute3KX57V8/pwnCzxtrSe3yOOu7fnaBMXdn0uf6aOUbDbR4Nt3l0R/pBej6wTWNs6fF1npuiYX2vZZXWtIf0XMOuoVZ3j69f2DS1PuJT/V5OrDfS6lGGYdvhMXs6htZEfJoXrI+//kfbc3SFe6AqIn5d7h6wQ/fhybZM1UaDyrDYlGXY9OO0oXorWB/vrh6WqXdCDTqu/fE8hlW/yThIv23bqK3ta7rvTMdzkdGtlf1cV6Fa2tca/6qrWNntv1drNKzvtK9T3Z1fUT0T2KZL3QPi2578EktZlVpcyrc4djg2Op5LSV2O8+529f7c2ev7ZY9xv6L6Xssq/T3rYKUZVmVb7LonY5Qe81fpYFt6fJ3wDhmGVZNtmV1q2Jf3+eeRNt3U8oV+nXGQPIZVU+xZui+jXE/6q2U3DJ3nLNIkW6aua1nRZeK3heFmtUbDSm9fReBYR64WhBp1evt58v09mKRvhNWtEVaPxnVbhivXsOmUHpbBkyR3+zHrkLHTc2TH+3+k1aNh3c5NHc/f0nCLyqzu3Z67bm1dq8FWV/wi58/ThyvPYteycKsGWJz6hnuQ3IZF1zQv7+OXhwCg9/SlFV4A7IVFuVOVuYsloCLtsw/XRIP6PNyq+aEGvRSo7fGD+5pdzDh7TP3HCsnUV1zFOtiapuE2j7INm9INm0KKals0qCXhVj3lr9Z7PXxovNo9SGc5CzTY6pJTFrWYYS0Jt+qutg1aHmnTvJxDe1y6SYp1Wbyo07jZw+1ZeiRrXI/7bo74dVHTUr2dO2WH+37WukYDLU6d6ixQscUhrxnR4nCL/uHbovd30tpytD1b3/YMUbktTaakDRG/5virtTLSpod6qOGipqXxli2HDH3HU6oTHbkaYHXKJouazJA+DjXrN23rtSka2O1z3nmc/GG2TF3gKtYke6YK2kNNTTSkRaFmPe6v2mGd5l09pyNq393t/XvKJYtmu4p0siNPo2xpyjCs8ptRbYj49E6oQQ/7KlXTKWjNchbqzoyRO328H7R8sdezcD+SNW6XXVW7H0PphlU3eUp1jCNXRRaHaqJBvRNs0J99m/Vo1rgdnpen/dU63J7VZfvmiF8zGj7Z5fP4R29FfCbwnuzsufhq4xJ9xVWsIxzZyjRsaoiG9F6oUfd7N2ljdOdj+Idb3Xo1Z7IkaXGoRec2Ld7pvjvzm/SDukzU1pPOx3l3u3p/Srt+fff2GO8w1OrWN92DNc2epRyLXS1mWB+EmvRff1WP79PuNezL+1ySBlqcuthVoiMc2RpiccluWFQVDWhpuFV/827W5z1MYHmoLVPXewZrjC1dmYZNYUW1IeLX4/4qPeSv3GH/7r7tGdJlksA99bS/Wn/0VvR4juwwovbdXb6njqn/WHdmjNzl/R3nLoukmc5CneUs0BhbmjINm0IytTni17uhRj3o27LDeHAASGUEbwAAUsDDmWM11ZGt/2tdo8f8VckuBwAAdMIYbwAAUsB7oUb5zIheCNQkuxQAANANwRsAgH7mUFumFudNU3r7GHGrpHOchXopULtXywQCAID9g8nVAADoZ6yGoTTDqpvThurlQK3OcRZqoNWlq5qXJ7s0AADQA4I3AAD9TFUkoPnBBp3oyNPZzkKtjXh1TfNybdjFBGwAACB5mFwNAAAAAIAEYow3AAAAAAAJRPAGAAAAACCBCN4AAAAAACTQATO52qZNm5SZmZnsMgAAAACksObmZg0ePDjZZaCPOWCCd2ZmJsEbAAAAALDf0dUcAAAAAIAEIngDAAAAAJBABG8AAAAAABLogBnjDQAAAACpwuPxKD8/X4ZhJLuUA1I0GlVlZaXC4fAe7U/wBgAAAIB+wjAMXXbZZTrrrLPkcDgI3klimqZqa2t14403qqamZrf7E7wBAAAAoJ+47LLL9NWvflXZ2dnJLuWAl5GRoWuvvVa//OUvZZrmLvdljDcAAAAA9ANpaWk666yzCN19hMvl0qGHHqqsrKzd7kvwBgAAAIB+IC8vTw6HI9lloBObzabMzMzd77cfatmpGTNiX521tkp33dV1n8mTJZdL2rJF+t//pD3oQg8AAAAAKcUwDMZ09zF7+pokfYz3tm3Sf/6z/XY0uv3/RxwhTZsmPfusVFcnHX20dMkl0r33SsHgfi8VAAAAAIC9lvSu5tForJW748vr3X7f1KnSO+9IK1bEAvozz0h2uzRuXPLqBQAAALBdJBLRvHnz9Nhjj2nevHmKRCLJLgkHoIULF2rKlClqaWmRJL3wwgs69thjk1zVdkkP3rm50o03St/5jjR7tpSTE9uekyNlZEhr127fNxKRNmyQBg9OSqkAAAAAOpkzZ45GjBihY489VhdeeKGOPfZYjRgxQnPmzEl2aehjbrnlFk2ZMkV33HHHDvf9+te/1pQpU3TLLbf02s878cQT9fTTT/fa4+2rpAbvzZtjrdgPPSS98IKUni5dcYXkdsf+L0ltbV2/p61t+30AAAAAkmPOnDmaPXu2xo4dq/vvv18PPvig7r//fo0dO1azZ88mfGMHRUVFeu211+T3++PbAoGAXnvtNRUXF/fqz3K5XMrNze3Vx9wXSR3jvWbN9v9v2yZt2hRr+Z4wIRbKJWk3y6EBAABgP4pEIpo/f74qKytVUlKio446SlarNdllYT+LRCK68cYbNXnyZC1dulQvvvhi/L7S0lJNnjxZN910k2bOnMnxgbjy8nJt2bJFc+fO1amnnipJmjt3roqKijRw4MD4fqZp6qGHHtLTTz+turo6DRkyRFdccYWOP/74+D7vvfee7r77blVXV2vs2LE6/fTTu/ysF154QXfffbfmzp0rSdq8ebPuueceLVu2TD6fT2VlZfrmN7+pww8/PP49Z511ls455xxt2rRJb775pjIyMnT55Zdr1qxZ+/y7J72reWehkFRdHet+3toa29a9dTstbft9AAAA2H/oVowO8+fP14YNG/TJJ59o/PjxWrBggVpaWrRgwQKNHz9en3zyidavX6/58+cnu1T0MWeeeaZeeOGF+O3nn39eZ555Zpd9/vznP+uFF17Qj370I/33v//VV7/6Vf3sZz/TwoULJUlVVVX6wQ9+oOnTp+vhhx/WzJkzdd999+3y53q9Xh1xxBG6//779fDDD2vatGm68cYbVVVV1WW/Rx55RKNHj9bDDz+s2bNn6ze/+Y02bNiwz7930mc178xqlQoKpIoKqaFBammRhg+XOp4Lq1UqK5Nefz2pZQIAABxwOroVn3HGGXrsscc0duxYLVu2TLfffrtmz56tp556qldahdA/bNmyRZJ06qmn6tlnn5XFEmvPmzp1qp599lmdccYZevnll+P7IXFGX3KJ7HV1+/3nhvLytKLz8lR76LTTTtP999+vrVu3yjAMLVmyRLfffrsWLVokSfL5fHr00Uf1pz/9SePHj5ckDRo0SIsXL9YzzzyjyZMn6+mnn9bAgQN1ww03yDAMlZWVac2aNfrPLuoZOXKkRo4cGb997bXXau7cuXrnnXd0/vnnx7dPnz5d5513niTp0ksv1WOPPaaFCxeqrKxsr3/XzpIavE86SVq1SmpqirVkH3205HRKn30Wu/+DD6SjjootJVZfH/t/KCQtXZrMqgEAAA4sHd2KzzjjjB5D1tlnn0234gNMTU2NJGnWrFnx46GDxWLR2WefrZdffjm+HxLHXlcnx7ZtyS5jj2VnZ+uII47Q//73P5mmqSOOOELZ2dnx+9etW6dAIKDrr7++y/eFQiGNGjVKkrRhwwaNHTu2y/rZHSF9Z3w+n/72t7/p3XffVU1NjSKRiAKBwA4t3gcddFD8/4ZhKC8vT/X19V/2141LavDOzIzNZO7xxCZN27xZ+vvfY0Fckt57L7Z82OmnxyZc27w5NhEba3gDAADsPx3dih977LEeQ9bNN9+s6dOna/78+ZoxY0ZyisR+VVBQICnWE+Lyyy/vclxEo1E9++yzXfZD4oTy8vrdzz3rrLP029/+VpL0gx/8oMt9ZvskX/fcc48KCwu73Ge327vsszf+8Ic/6IMPPtB3vvMdDR48WE6nUz/84Q8VCoW67NfTxcMv8/O6S2rwfuqp3e8zb17sCwAAAMlRWVkpSRo7dmyP93ds79gPqa9jIqxXXnlFM2fO1CmnnCK32y2fz6dXXnlFr7zySpf9kDhfprt3sk2bNi0eeKdOndrlvqFDh8rhcKi6ulqTJ0/u8fuHDh2qt99+u8u2pbvpFv3ZZ5/pjDPOiK/t7fV69+s5q0+N8QYAAEDfU1JSIklatmzZDh+SO7Z33g+p76ijjlJZWZmsVqteeeWVLrOa22w2DRs2TNFoVEcddVQSq0RfZbVa9cQTT8T/31laWpouvvhi3X333YpGo5owYYLa2tq0ePFieTwenXHGGTr33HP1yCOP6J577tE555yjlStXdjkGezJ48GDNnTtXRx11lAzD0F/+8pdeacneU31qVnMAAAD0PR0h6/bbb1c0Gu1yXzQa1R133KGhQ4cSsg4gVqtV5513ntauXau8vDzdeOONuv/++3XjjTcqLy9Pa9eu1ezZsxnzj51KT09XevclrNpdc801uvLKK/Wvf/1L5513nr71rW9p/vz5GjBggCSpuLhYv/nNbzR//nxddNFFmjNnjq677rpd/rzvfe97yszM1BVXXKEbbrhBU6dOjY8Z3x8MSQfEStlNTU3KzMxMdhkA0Ku8Xq9WrlzZa4/n8/m0YcMGlZWVye1299rjlpeXy+Px9NrjAdj/Os9qfvPNN8dnNb/jjjv04osvMqv5ASYSiWjEiBHKz89XTU2NNm7cGL+vrKxM+fn5qqur0+rVqw+48N3c3KysrKyEPHZpaan+8pe/KD8/PyGPj71XW1ura665pst7oCd0NQeAfmzlypU7Hf/UlyxcuFCTJk1KdhkA9sGsWbP01FNP6cYbb9T06dPj24cOHUroPgB1nnBvypQpmj9/viorK1VSUqKjjjpKH330ERPuAZ0QvAGgHysvL9fChQt77fFWrFihiy++WA8//LBGjx7da49bXl7ea48FIHlmzZqlmTNn7hCyDrQWTXSdcM9qte4QrplwD+iK4A0A/ZjH40lIS/Lo0aNpoQbQo55CFg48TLgH7B0mVwMAADsViUQ0b948PfbYY5o3b54ikUiySwLQBzDhHrB3CN4AAKBHc+bM0YgRI3Tsscfqwgsv1LHHHqsRI0Zozpw5yS4NQJJZrVb97ne/04svvqizzz5bCxYsUEtLixYsWKCzzz5bL774ou666y6GIQDtCN4AAGAHHTNYjxs3rssH6nHjxmn27NmEbwDxCfeWLl2q6dOnKzMzU9OnT9eyZcuYcC9BotHofl17GrtnmuYevSYsJwYAiFu0aJEmT57MLOQHuI5lgsaNG6dnn31WFsv26/TRaFRnn322li1bdkAuEwRgR5FIhAn3OknkcmI2m00PPvighg4dKpfLlZCfgT0XiUS0fv16XX755fL5fLvcl8nVAABAF52XCeocuiXJYrHo5ptvZpkgAHFMuLf/hMNh3Xjjjbr22mt16KGHymazyTCMZJd1QDJNU01NTbrtttt2G7olgjcAAOim8zJBPWGZIABInpqaGv3yl79UVlaWMjMzCd5JYpqmampq9ih0SwRvAADQDcsEAUDfZpqmGhsb1djYmOxSsIeYXA0AAHTBMkEAAPQugjcAAOiCZYIAAOhddDUHAAA76Fgm6MYbb9T06dPj24cOHcoyQQAA7CWCNwAA6NGsWbM0c+ZMlgkCAGAfEbwBAMBOsUwQAAD7jjHeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkkC3ZBQAAAKD/iEQimj9/viorK1VSUqKjjjpKVqs12WUBQJ9G8O7DvF6vVq5c2WuP5/P5tGHDBpWVlcntdvfa45aXl8vj8fTa4wEAgL5pzpw5uuGGG7Rx48b4ttLSUt19992aNWtWEisDgL6N4N2HrVy5UpMnT052Gbu1cOFCTZo0KdllAACABJozZ47OPfdcuVyuLturq6t17rnn6umnnyZ8A8BOELz7sPLyci1cuLDXHm/FihW6+OKL9fDDD2v06NG99rjl5eW99ljYNXpBANgTnCvQ2yKRiK655ppd7nPttddq5syZdDvvJzhPAPsXwbsP83g8CWlJHj16NC3U/RS9IADsCc4V6G3z5s1TTU2NJMkwjC73ddzetm2b5s2bp+OPP36/14e9x3kC2L8I3kA/Qi8IAHuCcwV621tvvRX///HHH6+f/OQnGjt2rJYtW6bbbrtNL774Ynw/gnf/wHkC2L8I3kA/Qi8IAHuCcwV624YNGyRJY8eO1XPPPSeLJbYi7dSpU/Xcc8/pkEMO0bJly+L7oe/jPAHsX6zjDQAAgF3q3r28u2g0ukf7AcCBiuANAACAXSotLZUkLVu2TDNnztSCBQvU0tKiBQsWaObMmVq+fHmX/QAAXRG8AQAAsEvHHXdc/P9vvPGGpk+frszMTE2fPl1vvvlmj/sBALYjeAMAAGCXZsyYocLCwl3uU1hYqBkzZuyfggCgnyF4AwAAYJesVqv+/Oc/yzCMHpcTMwxDf/7zn1nDGwB2guANAACA3Zo1a5aeeuopFRUVddleVFSkp556SrNmzUpSZQDQ97GcGAAAQIrzer1auXLlPj9OWVmZnnjiCX3wwQdauXKlysvLNXXqVFmtVi1atGifH7+8vFwej2efHwcA+hqCNwAAQIpbuXKlJk+enOwydmvhwoWsAQ0gJRG8AQAAUlx5ebkWLlzYa4+3YsUKXXzxxXr44Yc1evToXnvc8vLyXnssAOhLCN4AAAApzuPxJKQlefTo0bRQA8AeYHI1AAAAAAASiOANAAAAAEACEbwBAAAAAEgggjcAAAAAAAlE8AYAAAAAIIEI3gAAAAAAJBDBGwAAAACABCJ4AwAAAACQQARvAAAAAAASiOANAAAAAEACEbwBAAAAAEgggjcAAAAAAAlE8AYAAAAAIIEI3gAAAAAAJBDBGwAAAACABCJ4AwAAAACQQARvAAAAAAASiOANAAAAAEACEbwBAAAAAEggW7IL6HCkpBMkfSDplU7bZ0iaLMklaYuk/0mq2d/FAQAAAADwJfWJFu8BioXrqm7bj5A0TdJLkv4mqVXSJZIc+7U6AAAAAAC+vKQHb4ekcyW9IMnf7b6pkt6RtELSNknPSLJLGrc/CwQAAAAAYB8kPXifJukLSeu6bc+RlCFpbadtEUkbJA3eL5UBAAAAALDvkhq8x0oqkfRmD/elt//b1m17W6f7AAAAAADo65IWvDMlnSJpjqTwLvYz9085AAAAAAAkRNJmNR+gWMv11Z22WSSVSjpM0r3t29IVm1StQ1q32wAAAAAA9GVJC97rJP2p27aZkmolvSepQVKLpOHaPtu5VVKZpNf3T4kAAAAAAOyzpAXvoGIzlXcWkuTrtP0DSUdJqpNU3/7/kKSl+6lGAAAAAAD2VdKC9554T7Hlw06X5Ja0WdJDioV2AAAAAAD6gz4VvP/Vw7Z57V8AAAAAAPRHSV/HGwAAAACAVEbwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABIoqcH7GkmLJTW1f70v6ZRu+/xc0hZJXklzJY3ZnwUCAAAAALCPkhq8N0v6kaRD27/ekvSctofrH0i6QdL1kqZIqpL0uqT0/V4pAAAAAABfTlKD94uSXpa0uv3rp5JaJU1tv/+7km6T9IykzyVdKskj6cL9XSgAAAAAAF9SnxnjbZF0gaQ0SQskDZVUIum1TvsEJb0tafp+rw4AAAAAgC/HluwCxioWtF2KtXafI2mFpGnt91d3279aUul+qw4AAAAAgH2T9OC9StIESdmSzpX0b0nHdLrf7La/0cM2AAAAAAD6qqR3NQ9JWitpoaQfKzbL+XcUm0hNkoq77V+oHVvBAQAAAADoq5IevLszJDklrZdUKenETvfZFWsNfz8JdQEAAAAA8GUktav5bYrNar5JUoakr0iaoe1ref9esVbwjlnPf6zYet6P7uc6AQAAAAD4spIavIskPaTY7OVNkpYoFrrfaL//TkluSX+SlCPpQ0knKTYJGwAAAAAA/UFSg/eVe7DPre1fAAAAAAD0R31ujDcAAAAAAKmE4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAE+tLreDvs6Tpy8vdVOuAIWQyrNlV9qPkL75TPX9+b9QEAAAAA0K996Rbv0475vTyuPL3zya81f+Gdysks08zj/9qbtQEAAAAA0O/tcYv3YeOv1UdL/hy/PaBgov783ykyzagkqa5xjb5+zmu9XyEAAAAAAP3YHgfvnMyhumzW63rp7RtUXbdU6zfP0wWnPq4vNvxPFotd40aer3Wb3kpkrQAAAAAA9Dt7HLxfffcHGlg0RWcce682bnlXcz/8hcaOPF9DBx0rw7Boxdrn9cmyvyWyVgAAAAAA+p29mlxtS/XHevDp4zV94nd16Tmv6q0Pfq6nX7s0UbUBAAAAANDv7fXkaqYZ0XuLfqcnXrlQU8Zdo1kn/ktp7sJE1AYAAAAAQL+3x8G7IHe0Lpv1um66fKMuOftlGbLo0RfP0dqK13XpOa9o0pjLElknAAAAAAD90h4H7zNn3KdNlR/qn3NO0Iq1z+nUo38nSVq86hH9a86JGlwyVZee/WrCCgUAAAAAoD/a4zHeudkj9MwbV6qheb3qm9bqsPHXxO/z+uv03JtXa+igYxNSJAAAAAAA/dUeB++Kre/ptGPu0fI1z6h04FHaXPXhDvus3zy3V4sDAAAAAKC/2+Ou5s+/da2qapZoZNmpamzeoJffuSmRdQEAAAAAkBL2uMXbH2zSmx/8LJG1AAAAAACQcvZ6ObHOXI4slRRMVEbagN6qBwAAAACAlLLHLd4zDvup3l30O4XDPlksNp1y5G91SPnFMgxDpmnqiw0v6dk3r1IkEkhkvQAAAAAA9Ct73OI9bcJ35LClSZKmHvItjRx6mua8fpn++NBYPfnKRRpQOFnTDvlWwgoFAAAAAKA/2uPgbRhG/P+jh8/U3A9+oVXrX1Srt0prKl7TGwt+qjEjzk1IkQAAAAAA9Fd7OcbblCRlpg3U1m2LutyzddtCZWUM6q26AAAAAABICXs8xluSJoy+RMFQmyLRgFzOrC73OR2ZikSCvVocAAAAAAD93R4H76bWzZo4+hJJUiQSUnHBIdpU9UH8/tIBR6mucU3vVwgAAAAAQD+2x8H7/kcm7PL+LdWfqGLre/taDwAAAAAAKWWvuprvytZtn/TWQwEAAAAAkDL2cnI1AAAAAACwNwjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBAex28ywYes9P7Jo6+dJ+KAQAAAAAg1ex18L7gtP/q+Gm/lMVij2/zuPJ0/imP6tjDf9arxQEAAAAA0N/tdfB+6LkzdFDpybp81pvKzynXiCEn6hvnvye7PU1/e/LoRNQIAAAAAEC/tdfreG/dtlD/eGqGTj36d7ri3LdkGBbN+/g2ffDZvYmoDwAAAACAfu1LTa6Wlz1CJQUT1dy2VdFoWPnZI2W3eXq7NgAAAAAA+r29Dt7TJnxHl57zqtZvnqe/PnGEHpxzgoryx+kb583XwKIpiagRAAAAAIB+a6+D92HjrtZTr3xNr733I0UiAdU2rNQ/55ygletf1MVnPZ+IGgEAAAAA6Lf2eoz3X588Uj5/fZdt0WhYb33wc63Z+GqvFQYAAAAAQCrY6+DdPXR3VlH5/j4VkwoqKipUW1ub7DJ6tGLFii7/9kX5+fkaMmRIsssAEorzxL7hPAEAAPqbvQ7eklRSMFGjh89UZvogWTut5y1JT792aa8U1h9VVFRoVPlo+X3eZJeySxdffHGyS9gpl9ujVStX8KEaKSt2nhglv8+f7FJ2qW+fJ1xatXIV5wkAANBv7HXwHjN8ls467k9at3muhg6aofWb5iona5jSPUVatf5/iaix36itrZXf51XeGTfKnjc42eXswAwHFW6qli2rSIbNkexydhCq26S6F3+n2tpaPlAjZcXOE34NumqQnAOcyS5nB9FgVKHakOz5dlkcX2rhi4QKbA1o8183c54AAAD9yl4H7+mTvqfX3/+JFn7+D910+Ua99t7NamzZqNOOvket3upE1Njv2PMGy1k8Itll9GzQmGRXAECSc4BT7jJ3ssvo2chkFwAAAJBa9ro5IyezTGsqXpMkRSJB2e2x9bs/XPJnTRx9Se9WBwAAAABAP7fXLd7+QKMc9nRJUktbpQpyR6umfoVczizZbJ5eLxAAgAMBk+7tGybdAwD0ZXscvM+Yca9ee+9mVVQu0NBBx6qmfoVWrHtWJx1xh8oGHq2hg2Zow5a3E1kr0C/xYXrf8GEaB4KKigqNHjVKXj+T7n1ZHpdLK1Yx6R4AoG/a4+A9buRX9NYHt+rVd38gm9UlSXpv0T2KREMaXDxVq9a9qHcX/jZhhQL9UUVFhUaXj5KXGay/NI/bpRXMYI0UV1tbK6/fr9+UlGi4o+9NuheIRrUlFNJAu11OS9+bdG9tMKAfVlYy6R4AoM/a4+BtGIakWFfz7Ux98Nm9+kD39nJZQGqora2V1+fXw+e4Nbqg731Y9YVNbWiMqizbIrfNSHY5O1hRE9XFz/j4MI0DxnCHU2NcrmSX0aOJyS4AAIB+bC/HeJuJqQJIcaMLLJpUYk12GT06ou+tfAcAAACklL0K3td89WPJ3HX4vvtfw/epIAAAAAAAUsleBe93Pv61AsHmRNUCAAAAAEDK2avgvXzNHHn9fXN2ZgAAAAAA+qI9nu3J3E0XcwAAAAAAsKO9ntUcAAAAiVdRUaHa2r7Z03DFihVd/u2L8vPzWREDQJ+xx8H79gfyE1kHAAAA2lVUVKi8fLR8Pm+yS9mliy++ONkl7JTb7dHKlSsI3wD6hL1cTgwAAACJVltbK5/Pq0uPu1nF2X0vOIbCQdW1VCkvo1h2myPZ5eygqrFC/37rDtXW1hK8AfQJBG8AAIA+qjh7iAYXjEx2GT0aVjI22SUccBh+sG8YfoBkIngDAAAAfVxs+MEo+Xz+ZJeyS317+IFLK1euInwjKQjeAAAAQB8XG37g14WHT1BhZnqyy9lBKBJRQ5tPOWlu2a3WZJezg23NrXr0w88YfoCkIXgDAAAA/URhZroG5WQlu4weDWUuZmCn9ngdbwAAAAAAsPeSHLx/JOkjSc2SqiU9I6mnCUR+LmmLJK+kuZLG7K8CAQAAAADYJ0kO3sdIul/SVEknKtbz/TVJnk77/EDSDZKulzRFUpWk1yX1vbEtAAAAAAB0l+Qx3qd2u32ZpBpJkyXNb9/2XUm3KdYaLkmXKtY6fqGkvya+RAAAAAAA9kEfG+PdMVFEffu/QyWVKNYK3iEo6W1J0/djXQAAAAAAfDl9LHjfrVhL9+ftt4vb/63utl91p/sAAAAAAOi7+tByYvdJGi/pyB7uM7vdNnrYBgAAAABA39NHWrz/KOksSccqNnt5h6r2f7u3bhdqx1ZwAAAAAAD6nj4QvO+VNEvScZI2dLtvvaRKxWY872BXbDb09/dHcQAAAAAA7JMkdzW/X7HZyWdKapFU1L69SZK//f+/l/RjSavbv36s2Hrej+7PQgEAAAAA+FKSHLyva//37W7bvy7p3+3/v1OSW9KfJOVI+lDSSZJa90N9AAAAAADsmyQHb2MP97u1/QsAAAAAgP6lD4zxBgAAAAAgdRG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBbMkuINUUSxpXt0n2ZBfSD4XqNiW7BABImmJJ2YGAXMkupB/KDgRUnOwiAADYBYJ3L7ta0i0v/i7ZZfRbtyS7AABIkqslHV9Vmewy+qWhij1/AAD0VQTvXvaApPfPuFH2vMHJLqXfCdVt0tIXf6ezkl0IACTBA5KOKi7RMKcz2aX0O+sCAT1QVcnfDwBAn0Xw7mVVkpQ3WM7iEckupd8JqP35A4ADUJWkRqdTfhedzfdWo/j7AQDo25hcDQAAAACABKLFGwD2s2JJB28NiA7Fey+wNaC2ZBcBAACwlwjeALCfXS3plr9uTnYZ/dYtyS4AAABgLxG8AWA/e0DSp1cNknMAbd57K7A1oI/+uplJtHBAKJY0oKFC+ckupB+KNFSwxByAPoXgDQD7WZWkzwc45S5zJ7uUfscnJtHCgeNqSd+ee0eyy+i36pNdAAB0QvAGAADogx6QlHvszSrKGZLsUvqd6oYKPTD3DnrHAOgzCN4AAAB9UJWkrTlDZC0YmexS+p2toncMgL6F4A0kWLEkd20k2WX0S+7aCGP0AAAA0O8RvIEEu1rS6Dn+ZJfRL41W7PkDAAAA+jOCN5BgD0i6YJZLo/OtyS6l31lRG9EDc/yM0QMAAEC/RvAGEqxKki/fKpUQvPcWM1gDAAAgFViSXQAAAAAAAKmM4A0AAAAAQAIRvAEAAAAASKDkBu+jJD0vaYskU9LMHvb5efv9XklzJY3Zb9UBAAAAALDPkhu80yQtlnT9Tu7/gaQb2u+fotgsS69LSt8v1QEAAAAAsM+SO6v5K+1fO/NdSbdJeqb99qWSqiVdKOmvCa0MAAAAAIBe0XeXExsqqUTSa522BSW9LWm6CN4AAAA4oBRLGtTcqsJkF9IfNbeqONk14IDWd4N3xzujutv2akml+7kWAAAAIMmulnTjh58lu4x+qyXZBeCA1neDdwez222jh20AAABAintAUsbhE1SYyYRHe2tbc6se+PAznZXsQnDA6rvBu6r93+JO/5ekQu3YCg4AAACkuCpJmzPTpZysZJfS72xW10gB7G99dx3v9ZIqJZ3YaZtd0jGS3k9KRQAAAAAA7LXktninSRrR6fZQSYdIqpe0SdLvJf1Y0ur2rx8rtp73o/u1SgAAAAAAvrTkBu9DJc3rdPue9n//JekySXdKckv6k6QcSR9KOklS636rEAAAAACAfZLc4P22YpOl7cqt7V8AAAAAAPRDfXeMNwAAAAAAKYDgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIFuyCwAAAEDPqhorkl1Cj0LhoOpaqpSXUSy7zZHscnbQV583AAcugjcAAH3E2mAg2SX0KBCNaksopIF2u5yWvtdZrq8+b/siPz9fbrdH/37rjmSX0m+53R7l5+cnuwwAkETwBgAg6fLz8+VxufTDyspkl9JveVyulApZQ4YM0cqVK1RbW5vsUnq0YsUKXXzxxXr44Yc1evToZJfTo/z8fA0ZMiTZZQCAJIJ3QoTqNiW7hB6Z4aDCTdWyZRXJ6IPdwvrq8wYkQmBr32yhiwajCtWGZM+3y+Loey2bffV521dDhgzRilWrCFn7IBVD1pAhQ/r87zR69GhNmjQp2WUAQJ9H8O5F+fn5crk9qnvxd8kupd9y0S0MKS52nnBp8183J7uUfsvlTq2WzQ6ELAAAUhfBuxcNGTJEq+gWtk9SscUC6Cx2nqBlc19wngAAAP0NwbuX0WKBnqyoiSa7hB75wqY2NEZVlm2R22Yku5wd9NXnbV9xngAAADiwELyBBMrPz5fH7dLFz/iSXUq/5UnRbsUAAAA4cBC8gQQaMmSIVtCteJ/QrRgAAAD9HcEbSDC6FQMAAAAHNoI3AAAA0E9sa25Ndgk9CkUiamjzKSfNLbvVmuxydtBXnzccOAjeAAAAQB+Xn58vt9ulRz/8LNml9Ftu5o1BEhG8AQAAgD5uyJAhWsm8MfuEeWOQTARvAAAAoB9g3hig/7IkuwAAAAAAAFIZwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEojgDQAAAABAAhG8AQAAAABIIII3AAAAAAAJRPAGAAAAACCBbMkuAMCe83q9WrlyZa893ooVK7r821vKy8vl8Xh69TEBAACA/orgDfQjK1eu1OTJk3v9cS+++OJefbyFCxdq0qRJvfqYAIAvjwu3AJBcBG+gHykvL9fChQt77fF8Pp82bNigsrIyud3uXnvc8vLyXnssAMC+48ItACQXwbsP4+o0uvN4PL3+geSII47o1ccDAPQ9XLgFgOQiePdhXJ0GsDtcoAOwJ7hwCwDJRfDuw7g6DWB3uECHnnBBBsDucJ4A9i9DkpnsInbnWl2r7+v7KlGJPtfn+q6+q3f17l49RlNTkzIzMxNUIQAkR29/cErkBTo+OO0/ixYtSsgFmd7GBRkgeThPJE5zc7OysrKSXQb6mD4fvM/X+XpID+k6Xaf39J6u1tW6UldqjMZokzbt8eMQvAEABwouyADYHc4TiUPwRk/6fPD+QB9okRbpOl0X37Zcy/WsntWP9eM9fhyCNwAAAIBEI3ijJ5ZkF7Ardtk1WZP1ml7rsv01vabpmp6kqgAAAAAA2HN9OnjnK1822VSt6i7bq1WtYhUnqSoAAAAAAPZcnw7eHcxuveENGTtsAwAAAACgL+rTwbtWtQorvEPrdqEKd2gFBwAAAACgL+rTwTukkBZqoU7UiV22n6gT9b7eT1JVAAAAAADsOVuyC9idu3W3HtJD+kSfaIEW6CpdpSEaor/oL8kuDQAAAACA3erzwfsJPaE85eln+plKVKJlWqbTdJoqVJHs0gAAAAAA2K0+v453b2EdbwAAAACJxjre6EmfHuMNAAAAAEB/R/AGAAAAACCBCN4AAAAAACQQwRsAAAAAgAQieAMAAAAAkEAEbwAAAAAAEqjPr+PdW5qbm5NdAgAAAIAUR+5ATw6YdbwBAAAAAEgGupoDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4N3vGckuAADQD52cnpHsEgAAOGAQvPs9U5LkKBkpWaxJrgUA0B+cnZmlGwoKdE1eXrJLQR9icDEfABKG4J0CXMMOVd5p35Vhcya7FPQhx5ZZdd0Uu7I4LA5s3T5HG1Y+WEN6p61Vb7S26Oi0dF1L+IZiodtsv5h/UMkhyk0vSnJF6EsKM9LlsNHAA+wLgncKCGxZIasnS5mHnpXsUtBHnFNu01PnezQi16JcN0HrgGWoo1OM8k7J06CrBmn4L4Yr94RcuYe6k1oakseQVB+J6K91dfrM5yN8Q5LiofvMKZfrwmNu0pCCUXLaOU9AOnhAkb5x9BRNH14qq4XoAHxZvHv6nW4hymKTGWhT04In5Bw0Rtb03OSUhT5j+mCrHpzp1vde9euGVwNa3xj7MEVD5wGoPXQXzS5SwWkF8q71qvHdRuWdkKeCmQWyptF6cSAyFftL0hSN6q/1dfrU59MxhG9IOnXy1zSt/FQ9+vZdWrH5YwVCvmSXhCQbU1Koi6ZO1Fsr12rJ5kpFotFklwT0WwTvfif2SdqePyR2MxqWJAUrV8tRPEKOohHJKgx9xPgii+ZtCOs/i0NKd0inH2TTk+e59eR5bl1zqJ0RfAeK9hfaVeZSxsQMbfzDRtW/WS/vGq/s+XY1f9SsSFskuTViv+r83jcl2Q1DjZGIHqir1UKfl/B9gMtw52jskKmas+AvWl25WA6bS0PyR+rMKZfr8JEnyWa1J7tE7GcOm1XTR5Rq7so1WrC2Qs2+gDJcTk0fXqqyvBx5HBwTwN6wJbsA7KntfUZdww5V/pk3ybf2Y7V9Plf+DZ8psGW52pa+qazpFyhQuUpRb1Nyy0XSZLsMnXaQTbNG23T1ZIfCUVNtQSkq6ZrJDr28OqyNTWayy0QCFJxZoEBlQM2fNMdbuw2rITNiyrfWp8wpmRp4+UBVPlKpxvcbZTgMpY1Kk3eNV1EfrRiprNOoA30lO1vlTpeGOhx6tqlJr7Y06/7aOl2fb+jotHSZkv5SV5fEapEMNqtdLkeabFa7xg6ZqonDjlFR9mC5nekKhQNKc2XprSVPJrtM7EcWw1BOmkdfVNfKabPpxDEjNCQvW8WZGQpGInp9+Wp9uG5TsssE+g1avPsBW84AdXxkShszQ1Z3hmqeuU22zAJlH3mhii+5W66yCQrVb1HE1yxbdnHsGw1e3gOFzRL7kqRfvxvUU8vDuuN4pzY3R3XHu0Gd/5RPP3jDL4dVcttp805F9gK7sg7LUvaR2Uo/JD2+3eqxyuqyKuvwLA28bKCqn6pWw9wGSZJnuEfZ07Jly+QabKrrCN3fyy/QVbl5aopE9G5bq35ZXKzvFhTIa0b1QF2tFvm8OiotTTcVFCS1XiRWT7OXN7Ru05rKJTr90K/rihN/rhZ/g174+EH98vGvq8XXqDRXZhIqRTL5Q2Et3rRVp40bpZ+ccZzy0tO0cOMW/ey511VR16jy4sJklwj0K3za6uPsBWUqufT3qnv5D7LnD1H6hFNV9a/vKNxUrW1P/Fz2vEHKmHyWso+6RGY0LOfAckV9LarbukoyacE6EJw03KpvTHKoON1QRZOpO94N6KI5PhV4DNV4t7dsXzHRIV9YqmmjtTsVhWpC2vz3zSq+oFh5x+XJkKGWxS1qXdqqYG1Qg64epMpHKlX/Zr0kybAbyjs5T2bYVHBbMMnVY3+Y5Hbr5IwMfXvrFi3z+zXa6dR38gu01O+X1D7mu65ONxYUKp3lKVNW59nLDx1xnDI9ecry5Omdz5/VY+/crQG5wySZ2lq/Pv49FotFoTDniQPBwJxMFWakK93p0JLNVXrt89X6orpWaQ6HVlRuix87bcGgoqYpi2EoavK5AtgTnXufoQ+ypGUrffxJypp2vhQJa+s/rlOktV6y2OLjuyXJMaBc9pwSZR4+Wxa7U7X/u0eBzZ8nsXLsD2eMtOnRWW796ZOg5m+M6O6TnQpGpPOf9GlFbezCy5kjbTpuqFWXHOLQ8f9p02dVXJBJORbFxhJIcg5yquSiEplBU/Vz69XyWYvcw9wa8LUBsqZZte3ZbbJ4LMo4JEP2HLvW/HyNFBF/DVJQ95f0CE+arszL1WWbNumUjAz9srhYd22r0eNNjUqzWDTM4dBSv18ZFotamEAp5c08/CoddtDxWrH5ExVmDVamJ1dvLXlS85e/INOMymX3KDu9QGcffpVy0gv1m6evVpQL+ilt3MBinT3pYNW1emWapgbnZuuphUu1aOOW+D45HrcOGzZYR44o031vva/q5tYkVgz0L/RF7rNi3cCibY2KtjXKsDkki02usomxu6Ph2D7t3cmDW1eq7fO52vbULYoGfXIOPjhJdSNRLN16BmY5pe9Pd+iX7wT0ozcCemt9WC6bobkbIvHQnemUDim2aHyRVUf/k9Cdstpf1rTRaQpsDqj6iWoZDkO5x+YqfWy6fOt82vSnTfJt8Cn/9HxlHZqlUH1oe+i2iNCdgjpeUrsRO3mkWywqsdl1Zmambikq1l01sdAtSYe5PboiN0/FNls8dDMoJXVNGHqUJg+foT+9dLMenvdbvbTw38rNKFJjW63M9nA9cuBEXXrszbJabPrNnGsUNaMyGMKWsgZkZ2rW5LF6Zdkq/WnuAv37/YWyWS3Kdrvi+5Tl5ejMQ0ZrwuAS/XneB4Ru4Esw+eq7X4bNYVo8WaajaLiZNe0Cc/B3nzDTJ5y6y+/JnHqeWfy1u03D7kp6/Xz1ztevT3CaZ42yddmW7pD5yTfSzJJ0wxyQYZhbbkg3/3LG9tf8xGFW022T6bDKzHYl/3fgK7FfrlKXefCDB5uuwbFjwD3UbZb9sMwsvaHUTB+XHt/Pmmk1Zen0vZb9Xytf++9rVlaW+UxZmWlIZrrFYv5t0GBz2chR5tW5efF9HIZh3jdgoHlnSUnS6+Vr/3wdffBM8/IT/s+UZE4efqz5268/Zx455szY8WBzmbnpRaYkc9TASaZhWExJpqX9X776/9eIwrwdtpUXF5hfP2KyKcnMT/eYPzn9OPPcyWPj99usFtNmtZhjBhSaOR530n8Hvvjqj19cuuzD0g85WSWX3yeZpoLVa9W69A21LHxeOTMuU/ohJ8f3y5x6nhzF25cRcxQOVTTolRllqaBUkeMytL6ha2t11JTSHNLlE+16++tpen5VWNe/FBurWZJu6IZpTh0/zKZgRGr0J6Nq7E/+jX61LGlRwVkFMhyGfOt9qvpvVWws9wl5ypiQIUmKNEfiLeSSuv4fKac2HFbYlCa63WqNRvVyc7OW+v2alpamo9LSdGZmpu4dOFCDHHbdXFkpiZbuVNPTRGr5mQMUjUY0JH+kvnL09/TcR3/Xu8tfkCRNHnGcpo46WVaLTau2LJLZ3tJNN/PUUJaXo0unT1a609Fle0FmurLcLmW5XbrqmMO1smqb5ixcJkkaO7BYMyeMkWlKy7duU4OX9d2BL4Pg3Yf5K5ZK0YgKz7tFFnemIq11avn0JTUvfF65J1ytnBOuVuEFv1T6uBMUrF4nSTJsDtkLytT4zn+kSCjJvwF6y9Uv+rV0W1QnDbdq9hib3DbJG5IeWRrS96c7takpqmv/51e4/XPRdVMcGpBh6LMqLr6kpO6fo9vnwWpe2Cx7rj0+S7l/oz8Wvm2GCs4skHuEe//WiaT7zOeTIWlWVpYkaU5zk/7dUK+GSFh3Dxig87Oy1RyJavaGDYw6SFEdk2GVFY5WlidfkvTR6jc0evAU3TTrfj3x7h/jodtmteuQsiOU7s5WpNM8MiahO2VsqGvQHS/NVWsgqNw0d/zPyRdVNQpHo/r+KcdozbY6Pd0euiWpNC9bWW6X7FZiA7AveAf1GTtekQ43bNW2p26VYXOo8PxftIfverV88rzq3/ybHEXDFG1r0tZ/XCeZUclilRkOqvLB6xWs/CIJvwMSofORccZIux6f7dYpI2LB6vFlYb26NqySDEO3znDq6sl2/eUMl751mEOXPOPT5mY+Qqek9pfVM9Ijw2HExmlLavqgSbZMm/JPzo/v6t/oV/WcavnW++RbSyvFgaDzciXN0ah+V7NNM9LSdYQnTZL0SkuLvrd1q85cv16Xb6rQ9yu3KqzY9RviVero3NI9csAEXXvq7Tps5AlKd2Vpa91avf35s2pqq1N+ZokyPbkaWjRG3zjpF8pOy9dT792XxMqRaN5gSBkup3502rE6YUysx2R9m1ebG5rUFgiq0euT1WIoN82jU8eN0mFDB+t/S1bKHwrv5pEB7Arz2PYxnvKj5F05v8s2W3axCmb9VGY4pG1P/lxRX3Psjs4zmxsWsXxY6po9xqaTh9v0jRf8+sdZLp03xq7LnvPp6RVhjcyz6NzRNl0+0aGatqg2N5u69e2APq/heEhl6ePTVXx+sSwOi6qeqlJga0CBzQFlT89Wzowcbf3XVgW2BnY8y3PWT2lX5uZqgsutt9paNaepSZKUZbHozpIBWur36766WlnFRPYHkmMOPlt2m1OnTv6awpGQ3lz8hOYte0YOm0uHjzpJJx7yFZky1eStU7O3Tn955aeKRiMyDAst3SlqWEGuvMGQhubn6KwJY/T656v11sq1ctltOnXcKA0vyFNumlvbmtvksFn18Aefamtjc7LLBvo9/u72IdaMPA286m/yb1qmbU/8rMt99sKhKvrqHQpuXanal36vaFtjcorEfndQrkXPfsWt+z4K6s+fxIYP/GumS+eOsevrz8bCtyTZLVIoKjmsUpAe5inHPcwt37pYi3Xu8bkKN4UV2BpQzowceUZ4ZE2zquGdBoXqQyqcWaiqJ6rUsqiFs/wB5lC3W1/LyVWpw66wKf2lrlbvt3l1ZFqabi8p0Rnr16kqTKvVgeKUSV/TceNn6+F5dypqRjV2yOGaNHyGXv/sv3p72bMKhv3yODNUnFOqZm+96porZcqUhTHdKWt4QZ6+fsRkPfnJEi3ZXKXpw0t19qSD9cqyVXprxVrZLBZluJwqzctRTWurmn0BtfgDyS4bSAl8JOtTDDkHjVH+GTcqVFehbU/eEr/H4kpX4Xm3ylFykNqWvam6l/6QvDKx34wrtOj8g+0qyTB09Qt+2SxSoD1U/3OmS+eOtuvrz/n08uqwfHyWTlmOIoeGfHuIfOt8ivgiyjshT6tvXq1gdVCS5BzglKvUpcKZhfJt9ClrSpYCWwLacNcGhZs4MFLVzv6Ap1ksyrdadX1+gUoddtkNQ3+vq9dVeXn60Num327bJmYASX0uR5q+fcZd+mTNW3pryZPx7TMP/4aOGXuOXl74H330xetq8tZ1+T5DRnxcOFJLhsupo0cOlTcY1NyV6+Lbpw0fonMmjdUrS1fprZVrk1ghkNpsu98FidHTRyZTgc3LVfvCb5U/80cqPO+WePiOhgIK1W5U3Sv3KlRbsb+LRRI4rdIdxzt1VKlNy7ZFFDGlSGR7i/Zlz/kVMaUnz3PrnMd9en4VAStVhepDqn25VsUXFMuwG1p7y1oFq4My7IbMkBnrZr41oLaVbXINcklRKf3gdLlKXWpd0sol1hTU+SU9JSNDpXaHojL1ekurNoSCaotG9f3KrTrE5dIx6en6SVGRMi0WrQr4Cd0HiGg0Ikun7uI2q13hSEjPffg3DcgdqqMPPluRaEQLVr4kX7At/n2E7tRUnJWhS6ZNksUw9MaKNV3uW7C2QoYMnTlhtGxWi177fHWSqgRSG5OrJcX2j0zph5ysnOOuVP5ZP5CjZKQkU4EtK1T73K9lzy9V8aW/V9aRF6no/F/IljdYoZqNsbHcBi9dqgtEpOte8uvl1WENy7Ho6sl2SbHQbW9/+a983q+/fBLSylq6BKYyM2Qq3BSWGTUVbgwr9/hcyYht73wWDzeE1bq0VZsf2Czvau/2Sdb4HJ1yOl7SG/ILdGNBoQ73eDTJ7dEjQ4ZorMsV32+x368/1tbqkoqNurW6Kr5kGFJfMOxXdeMmTR99uiQpHAnJYoktgVDfUq1Wf6OOH3+ehpeMl9TzsmNIHVVNLVpfW6/cdI9K87LltHVte3t/7Ua9vHSVjhhRJo/DnqQqgdRGO0gSZR9zqdIOPk7+DZ/JsFrlHjFV9W88IO/Kd2SGArJmFijv5G9KhkXRoE+1z98pRZkSJ9V57LGlwjr+HZJl6I+nuJTlMvT3RSE9sjTWXsVY7hTX6W1uz7XLjJoyLIbSxqQp78Q8+Tf5teUfW7qeCjpmzZKUcUiGCmYWaOPdGxVp5UBJRV/JztZVuXn69tYtWub368zMTN1RXCK/aeq6zZv1kc8ri3acqbzTYYIU0LlruN3mlM1ii7dg56QX6vrT71SLr1H3vfh9RcyITDOqy0/4P73x2eM6/pDzVZJbptufvDKZvwL2o3Mnj1V5cYHeXLFWn1ZsUSDc9WzgttvkY/ZyICHoap4kaeNOUNqYY1Tz9C8UrF4r58DR8ow+WrknXC2Lw6XWpW8o0lwT62putW9fk5vZy1PaqSNsuvZQu3Lchmq9pn77flDvb4ro26/4de+pLl0x0a6oaeqxZWFCdyrrFLoLzy5U2ug0VT1eJd86n5o/bpbFblHOjBwNvGygtjy4RZJU/JVitSxuUduK2AfujEkZsmXYZIa5SJcqOl9ytUoa6nDoD7U1Wub365i0NP1fYZHuqqnRWJdL9w0cqG9s3qTFfv8Oj8OpI3V0Dt0nTfiqhpeM16C8YXp3xYtatvEDbapdrUfevktfPep7uuXCh1VZv16Znjw5bE5V1H6h9dXLVZA1gHHdKWpgTqYG5WQpHImqyeePr899wZTxOmbUUJky9VnF1i7hm9ANJA5Np8lgtSt9/ElSNKzWxa/KPeIw5Z9xo+pevV+O/FJlHDpTDW/9Td5V7yvqb0l2tdhPTj/IpqfPd+vO94Ny2aRh2RadNcqmS5716b/Lwhqabeh3J7lUlm3RHe8G9ORy/jimuqLZRco+MluVj1TK+4U3PlGa4TCUPS1beSfkKRqKKtIWkWuQS6tuXBVr3rRIJReWqPG9RvnWs3Z3qrkwO1tzW1uVbrHKZ0ZlNwz9aeAg/aehXo81Nuqk9AzdPWCAJOn8jRu0PMCMxKnujCmXaXr56Xp54X8UigR08sSLtbV+nd5a8pTWVi2Vw+bScePPk8vhVigc1MuLHlI0GtFFx9ykdFeW/vH6LxSOMvo/lYwbWKzzp4xXdXOrMl1OWa0WLdq4Rf9bslKSdMGU8RqSm60F6yr08fpNO7R8A+h9tHgnQySkwKZligbaZM0sVPZRX1Pju4/Iu+IdhfJLlXnYOco9+ZuK+lvlXfVesqvFfuCySd+c4tDvPwzqZ3NjH5LtFunnM5z6z9lurWvw6qMtEd34ml+/Os6lD7fwBzLVuYe6lTU1S5v+tEneL7wybIZsWTa5hrjk3+xXw9uxpcMyD82UotLGezbGQrchKSpVPsxY3lTR+Qr5V7KzdV1evpb5/VrS3pp9YnqGasJhvdgcW2e3KRrRk02NWhsIahWhO+WNGXyYJg2bob+++n/asG2FSgvLlZtRJFNRnTTxQr322aNaW7lUryx6KP49Ge4cnTTxQo0vO0L3PP9dQneKKchI06zJY/Xy0lVasG6jMl0ujRlQqLMOGaOoaerlpav0+MdL9LVpEzW5dKA+2bA52SUDBwSCd8Jt/8hk2F2SYcgM+hSq3ShJcg46WDJN+Tcsju1usajpozmKNNfI+8WCJNWM/c1plYblGHp17fYOKOGo9Mu3AxpfaNF1h9q1uCqi9Y2mLnnGpwj9VFKexW2RGYnNWO4e5lbmoZnKnJgpW5ZNvvU+VT5SqdalrWpd2trpm7TjgF70ex1v93Eul8qdTt1aXR0P3ZKUYbFoktutHKtVhqSvZeeoJhLWw40NkhjTnWq6j+lu8TXoneXPacO2FRoz+DBdetzNemTeb1XTvEXfOv23ikRDcjvStWxj7DNFlidfE4YeqWFFY/THF29SVcPGZP46SIBst0veYEifbdoq05SafH59vGGzLIahY0YN0+dbqlVR36iHFnyqDJdTfrqXA/sFwTuhtofuzMPOlXvYJFlc6Qo316ph3j8Vrt8ii8Mte/5g2bKLJZnKPuprMoM+Nc1/uP0hGNOdylw2yR+WmgLSwsqoTjvIpn9+FlRzIHbkBCJSdZupknQjvn43oTsF9TDox7/RL1umTWXfL5Oj0KGmD5pU/XS1gjVBld1UJkeRQ4Gt3VozOVWklM7XUY70pOnHRUVyG4Zebmnpcv+brS06uS1DLw0dpo2hoMKm9N0NW+KPQ+hOLR2h+5yp16jZV6+PvnhdH69+Q067W8eNn603Fj+uj1a/LkmqbtqkssIx2lK3Lh68m7y1+nT9O/p4zZvyBhjOlooC4Yiy3S4VZ2ZoXW29JCkciWpVVa2OHz1CGS5nfN8WP71igP2F4J1QsT+O2UddrPTxJ6tx/kMKVq9V4fm/UN4p16vmmdvlW/eJWpe9pYJZP1GkaZsi/lZVPXRjp4fgk3SqOmm4VUeX2vT08pA+rYrq1bVhXXuoXTdMc+qu9wNqDW7ft85nym6RQhwOqadT6HaPcMtii60P1rayTatvXq2sqVkKbA3Iu8qraCAqGVJwW1CGlaV/Ul3H232k06n3vW16v61NM7MydUpGhhb7fPKbsQOnqX3N7qmeNFkN6dWWFkVFS3cqKy0YpSkHnaC/vfYztfhiPRvSXVnKSstXszd22+1I1+baNXql4mEtWR8bttbRWt7srU9a7UiMkqwMSdK2ljbVt3m1uaFJE0sHqCUQUE1LbNLNJp9Pzb6AbBaWpAWSgeCdYNbMQrmGHaral+6Rf/0iuUoPkWG1q+3zeYr6YuPx6l+5V23L58XGfm/9Yvs63YTulHVOuU3/Ptutuz8IxgP2fxaHNDzHotMPsum4Mqve2hDRsGxDZ5fbNe0fbYTuVNQpdBedW6Ssw7MU8UbkKHKodUmrqp+pVt0rdbFd7Yas6VYNumqQDIuh5oXNyasbCXVieoYO93j0q23V+mFBoQ5xu3VxxUb9Zlu1DEkT3G5dkJ2txxobFWwP383RqF5r3d56aRGhO1XNGDdLNotD7654Qeurl8e3221OBUI+DS8ZJ6vFqkOGHimX3aPF69+VJBmGRSafK1LS2IFFmjVprN75Yr1aA0G1+AP6cP0mnTB6hCyGoSWbq1TT0qppw0uV6XZqY31DsksGDkgE7wSzOD2yuNLlX79I7mGHKv+sH6hh7oNqXfyKDIdbaaOPVuviVxWoWLr9mwjdKW1SiUV/Ot2lb77k10NLtk9ok2aXfj4voAWbI7rgYJtOHGbVxkZT0x9s0+c1HA+pxD3cLd9aXzx05x6fq+yjs1Xx+wr51vuUf2q+is4rUt3rdQoqKBlSzlE5yj4iW4pKa3+1Nva9rEuRcgxJNiM2idrBLpeGOxy6qKJCUcVawH9ds00/LSzSqRmZkhQP390PBc4Yqclhc2nM4CkqH3SoFq2Z2+W+htZtenPx4zr+kAtUVjBKzb4G/eHF7T3oCN2paVRxgb562AQ9v3i5lmyqjC8HtmjjFgXDER0xolRfP2Ky6lu9slut+vv8j9Xo3XGZQQCJR/BOsEhLraK+ZuUcf5XSx52ghrn/UOviVyVJtswCpY09XqG6zQps/nz7N/HHMaUNzrRofUNUT3weksMqzR5j06WHOJTvMbRgc0TXv+TXK2vCclilSJQx3alm6M1DFfFFVPGHitgGU3INcan+jXr51vuUOSVTBWcUqPKhSnnXxGYzN01TbSvbJItU/2Z9LGExkVpKMiW93NKic7O8murx6H8tzVodjI3BtEkKmaZ+ta1aPyks0kkZGfJYLPp7XZ2Yk/rAEAz79ejbv9OZU67QIUOPVFnhaG3YtkIWw6KoGdWn697R6q1LZCqqNn+sV0zHfUg9FsOIzUq+cbM+XLdJNqtFBRlpmlQ6UE1ev5ZuqdKyLVUqzsqQzWJRo9en1kBw9w8MICEY5NFbDEvX/7ffjob8ClavU/r4E9W24u146JbVruxjvq6ov1WBzct7eECkGnv7IWIY0sBMi/7vGKfmX5amCw62a2NTVI8tC+mMg2w6YZhVkhSMELpTTe5xuXLkO1Tx+wrJlGyZsWuf7lK3gtuCcg91a+DlA1X1VJXq59ZLFin/1Hylj0lXYGtA9W/Ub2/p5nN0Spvf1qo/1NbohPQM/biwUJIUlmQ3DIVMU7dtq9aWUEgD7XZCd4oytH0ehyxPvoqyh8hhc6mxrVZPvn+fVm/9TNeeersG5A5T1IzK0v65o9XfGA/dhgxCdwozDMllt8lqWDQwJ1NnHTJG50w8WIeWDtRhQwfpzENGy2G1qqqpRZsbmgjdQJLR4r2PbLmDFK7fHG+lzjx8thwlB8mWkafWxa/Jt26hmt5/TLbsIjmKD1LuSd9UpK1eriHjZXGlq/Lf3xV9RlPficOsmjbYqn9+GtKzK8M6fGBIYwssWrA5rH9+GtLi6qjy3IYuHGuXl0/RKSvqjyrUFJKjwKHso7NlWAxVP1mt5oXNKjqvSLYsm7b+c6sa32+UJFmcFqWVp8mMmF2XDeNUkVJ6Ovv/uyE2BnNLKKRfFZdIkm7ftk2h9jHdBzkc+kFlpZhiL3V1zF5++qFfV/mgySrJKdOqLZ+qqmGDXvj4QT3y9l366tE36Ntn3KU/vnijttav3+ljILWUZGUoEA6rvs2nJZsqdeaEMRo/uESrq2v00fpN+mxTpU4eO1JDcrMVjDDbA9BX0OK9DzIPm6UBV/5JzoHlkqSs6V9R5uHnKtxYpXBjtTKnzlbuCVfLsDlV99Lv5V05X47iEbIXlCm4bZ0q//UdKRppbx3nj2OqOqfcpifO88hlM+Sxxz4m3/xmQBfO8em7rwS0uDp20ebbhzuU5pA2NNI6kar8W2Lj6gZfP1gFpxWo4Z1YuGpb1aZQbUiByoC8672SJFu2TYOvGSyLy6Lal2uTVjMS54b8Ao1xOuOXXnvySkuLflJVqVlZ2fp5UZEG2+3688BB+lZ+gSTt8nvR/5088UIdOeZM/e/jf+m2J6+QaUZ05JgzNTBvuFr9Tfrv/N9rTdUS/Wj2X5WfWZLscrEfHDygSN84+jBNHDJQHoddn2zcoj/PXaC/vfOhHlrwqRZvqpQkOW1WhSIR2a181Af6CppZ94XFqvwzvy/X4INV88ztSht7nLwr35V/42JJknvE4cqYdLqi3mbVvXa/zKBPOzzlTKSW0g4dYNHLF3l042sB/Wfx9qbsTKfU0r5W98Xj7TpsoFVfHWvTiQ959VkVx0MqKflaiWpfqVWoJvb6l/2wTJ4RHrV+3qrqJ6rja3FnHZ6l7COz5RnhUag2JDNqygybWnf7utj01JytU8oop1M/KyqSRYZ+Xl2lLwKBnb7EFkkz0tP16+ISVYfD8pumvrpxg8L7uWbsX2nOTF12wk81f/nzWrz+XY0aOElXnfwLPfXe/Vqw6mVZLFZFoxFluHN07LhZeuHjfzKBWoorLy7QJdMn6bnPluvzLdU9dh0vzsrQxCEDNH14qe6fu0BVTazVDvQVdDXfF9GIal/4rQrO+qEKz7tV0aBXbcvfjt/tW/OhDKtNuSd/U/bcQQpWrdYOH6v4I5nSyrItWlId1UOLQ3LbpLNG2XTJIXalOwx9uCWiH7weUI7LUHGaoaP/6dWKWo6HVGJNs8pZ4lSofvtFl+C2oFo+bVH2kdkqOLNAdW/UybfWp6YPm+Rd55V7iFu2HJtCdSG1fNbCRGopalUgoPtqa/W1nFz9oqhYP9tF+I5Kequ1VaeuX6cyh0OLfD6ZYp3uVNOxxnaHcDSkdHe2qho2alzpNF163I/1zIK/aMGql2Wz2DXloBO0pW6tKmq/0PMf/UMSE6mlMqvF0OSyQVqwtiI+kVpeukcTBg9QXWubNjU0KRo1NXPCGKU5HfoToRvocwje+yoaUc3zdyr3xKuVfsjJsucMUGDTsvjd3lXvKfvoS+UqPaQ9eONAkmY3NG2QVd+b5tDs0TbVek1VtZqq9UZ1TrlNDy0O6d6PgvrnZ4qv543UYPFYFGmLaMOdGyRJ2Udmq21lm7b+c6skKVAdUPF5xco7Pk91ioXvUE0o3jIex0RqKcem2ERpC7xeZVqsmpWdpVuKivWTqkqtDwZ32vJdF4mozueTxDrdqagjdI8aOElb6tbKlClDhk479FKVD5ysZz/8q95d8aIkKSe9UBOGHaW2QLMqar+IPwahO3UZhqEcj1veQFB5aR4dPXKoijLTlZ+RJn8orJWV2/TikpV6eekqNfn8avKxZBjQ1zDwY28ZPTxl0bDq33hA3hXzlT3jMrlKD1HHqDuLKz22i5+rjgcKt03KcMT+/+/FIf3xo6BmjrJpUVVUt74d0BXP+3Xne0H5w1K6I3acELpTy4BLByjv+DxZ02Iz1FucFg24dIAGXz1YzoFOSVLr4lZVPV4l1xCX8o7Pk3uou+cHo3t5yunoIn5Vbp5Oy8xUgdWm8S6Xbi8u0UGOXY/57kC8Sj2GDA3IHaZvnv4bFWYPVpu/Wa8seljjy47QF1s/07vLX5AkOe1unTv9OtmsDi3duCDJVWN/CUei+mDtRh02dLC+e+KRynA59dH6zfrVi29pVVWNBuRkSZIq6hsJ3UAfxajBPZQ27gS1LX0jdmNn47Lbx3y7h05S67I3FW6skmvIeNmyi1T5z2/TrfwAcPpBNn3ncIcGZBiqaDL1wMKgnl8VltuuLrOV/+JYp84dbdPx//GqqpW3YKoZcNkApY9OV93rdWr8oFGRlohsWTYN+9kwhWpC2vrQVgW2xMZ2p49LV9F5RQo3hFX13yoFKgNJrh77w4XZ2bqhoFDXb9msTaGQpnk8Oj0zU27Dop9WVWrNLlq+kdouO+Gn8jgy9I83fqFAyKdjx52rs6depc8rPpQhQ067Sx5npn4z5xpFoxEZhoWx3SmqNC9HA3MylZfm0acVW7W5oUn56WnKdDu1rqZehiGZpjRzwhilu5x6/KPFCkc5FoC+ihbvPeAqm6i8U7+tnOOujG0woztp+Y6N+fZ+sUAZk06Xc9AY+dYv2h66e/oepIxTR9j0+Gy35leEdemzPtks0n2nuTR9sDUeui8eb9e9p7p03aF2XTTHR+hOUVv/uVVNC5uUd1Kesqdly5ZlU7gprHW/WCdHkUMDvjZge8v30lZte3abIm0RBaoI3QcCq6QJbrdeaG7SB16vtoRCeqqpSf+qr5fDMHRrcbHK7A5Cd4ozuvVrsFhiPWQ+W/eO0lyZKsoaJNOM6q0lT+reF25SfUuV6loqtXjDe/rN01crGo3IQuhOWWMHFuuyIyarvLhABRlp+uZx03TSwQep0efTupp6SVJBerpOGTtKh5YN0psr1hC6gT6OJLgHglWrVf/q/UobM0M5x18V27iL8F336r3yrf1EhsWq1k//t31f/jimJEOx7uXXTbHr1+8F9Mt3glpVF9XIPIueWRnWe5u2j8TMdRsanmPR0f9i9vKU1f5Zuvrx2PrceSfmKevwrHj4XnvL2u3he0AsfLcsatHmv25mbagDRESSNxpVqd0he6ftb7e1aX5bmw5xufXAoEEqtdt39hBIAR1juocWjZHL7lE0Gvtb8em6dySZOnHiV+P7rq5crCffu09Pvnef5i2do6gZlcFEaimrKDNdMyeM1v+WrNSD736if773iawWi0zTVDgSe81LsjJ02vhRGjuwiInUgH6CydV2x7Ao6m9V65LXZUYjyjn2CkUDrWp699GdB+pIWDVzfhXr/9OBP44py5QUiMRC9XMrwypON/TJN9L04uqwvv1ybJzVaQfZtLQ6oj9+GNQ/Pw2qhTHdqasjPJtS1X+rJEl5J+ZJkpo+bIqH7+E/G67B3xysjfdsVKg21PX7kTJ21l18ZSCgQ90eTU9L0/ter0Ltfy/WB4Oa39amz3w+bQqFevhOpJLyQZM1e/r1shgWPfPBX1TduEnbmjbr2Q/+qvOO/LbGDD5Myzd91OP30tKdupw2m+rbfPp4w2YVZKTp6mMO10frN+n15WskSVlulyqbWjRv5To1eH2M6Qb6CVq8d6f9D1v6hFPlLBklmVFlTf+Ksmdctv3+nlq+zahovkp9rk6Xrjx2Q1dNduidr3v0whdhXf9S7A9hntvQlRPtmlEW25nQnVoMRw/v8U5v/ar/VvXc8v2rtQpWBxWqI1ylqs6h+7j0dJ2cnqGj09IkSf9tbNTmUEg/KCzUSekZKrbZlGGx6Pj0dH3u9+uB+jpFxR/pVNO9e/nqrYv1zzd/pS+2fqpZ067VhcfcpKMPnqkmb51afY0anD8iSZUimfLSPcp0O5XtcenKow7TysoaPf3JUknSQYV5Oungg5TmdGhDXQOhG+hHmLtlD2QdcaEyJp+h+lfvlwxDrsHj5BlzjNqWvqGGt/4e24mu5AecE4ZZNXuMXfd/FNTSbVFdOM6m35/s0vpGU4f/vS2+3y+PdWr2GJtOedirjU283VLJwCsHypHv0MY/bFTU18P7v9MZtvgrxcqclKna12rV/Emzwo3hHvdD6rmpoEDnZWVrWzisIQ6HHmlo0J012yRJ9wwYoKEOh4psdtWGY8fE2RvWs1RYCuq8TveQ/JFyOjwKhv3auG2lJOmgARNUVliuUyZdrKUb3ldpYbnyMkt062OXqK6lMpmlYz8oycqQx+HQ2po6uew2XXHkFA3Jy9aijVv0+MdL4vudNm6UBuVm6+EFi+QNcuEW6E/oar4bhjNNriHj1PTuo/Kuek+S5N+4RKH6Lco++msyQ341zn+4PXTz6flAcU65Tf85x6273g8qrb3Fc96GiB78LKTLJtj1j7Nc2txsakiWobPL7Tr2322E7hRUP7depd8u1cDLB2rLP7co6u0Wvrt1OzejporPL1a4Kazmj5u77oeUVGiz6VC3R5dsqlBLJKLxbrduKy6Rx2LolupqfW/rVo13uTSkfTK1l1ua4y3dXMpNLR2h+6zDrtDY0mly2Fxq9TcpEPLq3he/r9VbP9PqrZ9p4Zq5mj76NOVkFMk0TdW3Vie5ciTauIHFOmvCGC2q2KIGr1eNXr+WbKmSy26TYRjyOOzK8bh1yOASTR1eqj+99T6hG+iHSIq7YdicKrnifnlXvafGef+Mb7e4MpQ/84dylY5X62evqv61+5NYJfan4TmGXv9amu7+IKD7Pur6h6843dDRpVZ953CHWoPSxqao7lkQ1IpaPkKnnPZk5Cp1qfSGUnlXerX1P1sVaeuhrbLTmTb3+FzVv1XPmfcAcFVunkY5nWqNRvXL6qr4+t3HpafrtyUD9Fxzk35RvWOoInSnruPGzdZJEy/UX175iSpqVunECV/V6VO+rntfuEmrKxfHW8UthkU2q0OhcECmTJYMS2HDCnJ1+ZFT9MLi5fp041YFI7G/IXarRdOGl2pS6UAVZ6arttWrSDSqxz9eoq2Nzbt5VAB9ES3eXex4HcIMB+T94n05CkplLxyq0Lb1kqSov0XB6rUyDEPWtOwevxepaXCWRcGIqedWbu8qbDGkqClVtZp64vOwnvg83GU7UoyheDIybIbqXq1T0ewiRYNRVT5WucuW7/o367c/BsdGyjIkBU1Tx6Wna1UgoE4DC/RWa6u+X7lVvykpUZrFoh9Wdu1GTLxKTYYMDcgbquc+/Js2bFuhcaXTdMIh5+u/79yj1ZWLZbc6FIrEJgGJmlEFw/749xG6U9fBA4q0dHOlPly3Kb7NajEUikT17uoNem/NRg0vyFVdm1f+UFhtASaKAfor5m2J2/4p2F5QJkfxCKl9TU3/2k9kzSxQxoTT5Cg+KLa3wy17zgC1rXhHNc/cJiZSO3BYDSnDaSjLtf317gjXJwyzanyRZYftSDHtr2vReUUafO1gWdOsalnSoswpmRp42UBZPD1NuLib20gppqQnGhv1q23VGu1y6ercvC73v9Xaqv+rqlKB1cZfjgOEYbGoJKdMUTOq0YMO1aXH/VjPffR3vb/yJRmGRUcdPFMThx2zw/eZnCxSWrbHJaetaztYpP3DQ0FGmiLRqL6orlVdq5fQDfRztHjHxU5y2cdcqvRxJ0qmqWjQq9oXfyd/xRI1vv0fZR3xVeUNGq1o0CeLzSEZFrUueX2Hx0DqmVhsUdSUlm6Lan1jVC6boQvH2XXrvIACnXoWzxxlVyBi6kdvBBSmgSKluYe5lTsjVxX3VahtRZtkSGmj0jT4+sEaeNlOxnwjJXXuvJBuiV10aY1G5TWjerG5WQ7D0I8LixSVqb/V18e/75WWFr3S0rLDY6D/6zyRWmfrq5frsJEnanD+QXr2gwf07ooXJUnpriyNHDBBn1d8uL9LRRJ4HPb4GO22QEiledlyWK3xbuaS5LLbdPiwwVq8qVIb6xqTVCmA3kTw7vRxxzV0kjwjj1Dti7+TGfIr87BZKjzvFtU+f6d8az5UuLFK9oIyuQYfrHBLrZo/eGrna3kjZZxTbtOfT3fpr4tCqvEGta7B1A2v+vXgTJdsFumZFWE1+k1dPtGuC8fZNf0fbYTuA4DFYVE0GFVgayC2wZTaVrZpy9+3aMi3hijcEta2OdsUaWV+6lTWOTBfnpurY9PS5bJYtDUU0vcrtypgmnqqsVGGpB8VFikq6R+dwncHQnfqsFntCkdioaowa5CiZkQtvkYFQj59vPoNfeuMu1TVWKEvtn4mScr05OrCo2+Ux5kRD+JIXaNLCnVs+XC9uWKNVlXV6PXlq3XDSUfpgsPG64mPlyoYDsuUdGz5cJUXF2reqnXJLhlAL+Eie7v08SfKsLtk2Bxq/vDp+PbYBGoTVPvcr+XfuHjHbyR0p7SjS6164asefecVv55bGVJDp+Uyzxtj029PdMlhlZoDpqKmdOEcnz6r4ng4ENhz7TrojoO09T9b1fhe4/bt+XYN+/Ew2bJtqn2pVtVPMSPxgeA7+fk6JytLf62r06ZQSLcXl2hlIKBfVFdpUygkm6TZ2dn6aWGRbq6q1AvNTI6Uas6ZerVeWfSwfMHYcpJnHXaFDh95kqKmKYth6MVP/q0FK1/SsOKxuvLEW9TYViOn3a02f7OsFqt+99y3FY1GmEgthY0ZUKiLp07S68tXa1VVTXyStGEFubpo6kR5A0G1BYIKhCMamp+jv7z9IROpASmE4C1JFptKLvmd7IVDe5yhPH/mD+UaPFZ1L/1BvnULxVN24LjtOKcOyrXo/Kd88W2dJ0wrSTdUmGbIbpU2NJqq9XJspJxOZ0mLy6Kof/sH4pKLS+Qe6lbN/2rUsijWZdiaZlXR+UVqmNcg3wYfp4sDwDSPRz8oLNSvqqu10OfTUWlp+l3JAAVMUzXhsL69dYs2h0KyS5qRnqG3WltYpzvFFGeX6ppTfyVvoFX3PP9dDSkYqStO+Lkeffsu+UJtOnjw4TpqzJl6c8lTemXRQyrOKdWA3KHKzxygqoaNWrpxgUwzKothUZTQnZI8Dru+cfRhWralWm+uWLPD/S67TUePHCqPwyFvMKhFG7eqtrUtCZUCSBSCdzuLM015p98gR/FwbXvyVoVq1ne5v/CCX0mRsLY9dUtyCsR+Z0j634UetQRNXdApeHcozTK0udlUhHfQASH/9HyljUyTxWVRzUs1avu8TY4ChwpmFshd5lbTx00KVgeVPS1bFqdF637V3j2QtaFS3uEej0Y5nfpPQ4OO8KTpzpIS/aG2Vu952/TEkFItDwR0W3W1NoS2T4xklQjfKcSQoWElY3X24VfJZrHr4zVvypD05pIn4/scN262zjjscv39tVu0fNNHOz4GLd0pLdvj0nXHTtN/P1ysdbX1XT6A82EcODAcgLOad5s/1og9BdFAm2pfvEvhxioVnHOz7PlDuuy27fGfattTt+6vItEHmJLmbQzrkCKLxhV2fasUpxv61uEOjco/AN9CB4pOp4rcE3JVcFqBvGu8MqOmBlw8QHkn5ylYG1T1U9VqmN+gnCNylHtcrsyoqXV3dBqTx+folPeh16tXW1rkMAxdkZurxxob9URTo1oiEW0JhzTN49E1eV1nNSd0pxZTptZVLtNzH/5N/pBXZ0+9SunuHEmSzWKXJL219Ckt27hAxx9yvqRYWO/yGITulBaKRGUxDBVnZ0hqXwun/RAozctReXFB8ooDsF/8f3v3HR1Hdf5//D0z26WVVtKq25KMey+4N1zABWxjsMGhB4jpJd9QQ/IjkBBCS0jokBACmBZiAhiMTXGvGPfem2S1Vd1e5/fH2rJFhyDJXj2vc/YcdnZmdY1GM/OZufe5rSw1HL+nmNz3bNIn3EzW9HuxdhgIqoYe8lPxn/uJeqrJPO+3GDPafml7mTIs0Rm+9Bex9kiU2gDcMsjUME2YUYVrTzdxfhcj9UG5R52wjv5qzXlmzHlmDj97mMo5lRx4+AB1q+twDHPgnOAk6ovi+tDFrrt3ceCRAxz888F4qmplR9fWrjwSIUVVyTEa2RSI95CJ6Dq7gyEmH9jPPWWl3/EN4lSno7O3dDNz177CvrKtnN5+FFZTMpFYGPXoTf4qdxmRo3N1yzRhrUs0FuNQdS3d87Jp54zflNGP7gK92+YyvGMRJk1rwRYKIZpaq+zd4hh5BUk9xuDfvRI9GsF++mRqFr2Ed8sCYv56FJOVrGn3YspuT+lLNxOpk+JIrcGZp2lc3deEzQjF9To3zo1XUru8t5Er+xgpTFXZUx1DVaBvrsbYV7xSSC3B2fvayb8qn1goRsnfS/DuOD7eLntaNvZ+dupW1lGzvIZITeT4hq3yyCoU4P2idlREIsyuq2V6qgOrqnLxoYPoyKiDRPR104YpKJyW04Ppw27EqJn425zbCIR9RKNhbp70GPW+al767IEWarFoLrmpdrLsyQDsrazCEwzRNj2VC/r3wh0IsqfCRUW9ly65mfRpm8fTC1dSVudu4VYLIZpSq7s8TOo2CsfIy6h890+EyvZgyutCzqWPQCxG3aq3ca+dczR820g74wqqP31eqpa3Aud2NvDyVCuvbQ6zpzrGncNMrCmJcs0HAco8Ov3zVHpna4wo0NhRFWP2tgi7q2W/aA3yrsjDMdxB5ZxKqj6ualRcLev8LNJHp1P2ZlmjyuYisXx5nm5P7Kt/+8fW6Wo281BuHhFdpyYa5briw0RohSfbBDZ54NXUeV0s2foe8M1zdrfP6ckFw27CkZRJlbuU4qq9tMvuxkOzryUWk8EGiaxHfg7n9ulGMBIhFImSbDbx96WfU+n2kudIYViHIjpkZRCJxfAEgry7fiulErqFSHit61pANZDUfRSKZsSz4SOs7QfinHwbVfOeQrXaSR87k9qls/Bs/oyYr/b4djJlWELr6lSZfaGVp9aEeGZNmOwkhS+uSSLTprChLMZ5b/ko9bSeP5NW61uOhvlX52PraKPyw0rqP68nFjx+PEgblUbN4prWdCRtVRrN052WTpKq8qG7nn2h0DduowFpmoYrGm14LzErMTiSnMwY8UtspmRW7PiI1bvmA98SvnN7Mq7PxXRt259H37mBYtcedHSpXp7A2memc8XQ0/lw8w5W7ztMO2ca148egjcY4h9LP6ekph5NVVEAs9FAOBIlFJUjhBCtQesahRiLEDi4Cf/eNWjJGaQOv5ja5W/g27GUwP716JEQjjOuwNZxUOPt5OSY0Jw2hf9sj/DMmjB5doXlVyUxZ1eEfi94aZem8Mw5FoocMrY/oZ2QrmydbaQMSMHa3oqWHB9vV/JiCf59fjLPziRlYAqq+fihs2ZRjZR/SGDHotRtmZlcmZ7OgXCIui9dJH/5Vx+FhtCtIKE7kdR6Xby76nlc7lIGdx7HkM4Tgfh47S8XSwPYV7qFRZtns2L7hxRX7W1YT0J3YjJqKl1ys1iyez+r9x0mxWrm4kF9WHewhOKaOq4ZOYiclGSisRiRWAxvMCShW4hWpHU98T6BMes0nJN+RdWHjxMq34shLY/kHmMJlu/Bv3u1hO1WRAG6Z6lsqYjxxjQrkZjOle8FUBX45DIbwws0Pt0XZeJrvob5u0Viyp6ejWOYg6gniiHFQN0XddSuqMW/N14sK39mPtYiK9ULq6lZXIMelh2iNZhkT+H2rExmHi5mdygIgFVRSNMMHImEgVZ8Mm1FTnxK3b1gEEO6TMSZkscn699g7d6FwDc/+T5GpgxLfKc504nEYpTXe7j2jEGU1NYxe+0WOmU7+cXIgei6zl8/WSZdy4VohQwt3YCWohotGDPaYspuD6pG6tCfAVC79NX4CtK9vNXQgS0VMSwGaJui8OL6CJGjv/rNFTF+uyDI4fqYhO4E55zoxDHUweFnDuPb7SN7WjYZ4zLQkjSqlCr8e/yU/L2Egl8WYOtgo/rT6pZusmgmToOBHYEgu0NBCo1GRiYnc4kjDXcsxuaAn9+Xl0vobgWOhe4pA39BbnoRNrOdzJQ8JvS7FINmYvWu+Q1PtL8pfEvoTnz7XPFzQ5EzjZius2hnfHpJfyjMlpIy/KEwka+pEyGESHytNngHS7ZRt/LfpE+4iUhtObGAm7JZdxxfQU6OrU44CulWhcmdDGyuiDKju5EpnQz8YXGQcq9cVicyQ6oBa5GV8tnl+Hb7sPe1kz42ndqVtST3SEYxKLg+cuHf6+fQXw9Jt/IElmcwUBaJEAMudaQxq7aGiK5TZDLxQE4OvS1WdgSDvFdfR1DXmZ7qoJ3JxP5vGfMtEsegTuMY0W0yT8+9m7LaQ2TYczj79CsY3m0SMT3Kmt2ffmf4Fq1DqtVCQYaDYDg+40X3/Gx0Hf67bqsEbyFaqcTqHadqcLRSqGK0oIcD37mJMasdAOGKA4AuT7oTXJIRvOGvLj/2hzCkjcbsC60EIqAocN5bPpkyrDXQwNbBRrA4iNFppODmAlzzXFR/Wk3mlEycE5z4dvson11O4NDR40piHT0FcLrVyn3ZOTxcUcHwpCQuTUtjzL69VEQi3JzhpMBkYpXPy2qfj+JwmO5mC/fn5PDLIyUUh7/mwCISzrmDZlKY2YUnPritYVle+mnMGH4LyVYHc794uaHbuWjdLEYDVw0fQNu0VA7X1JLvSOWpBSuki7kQrVhCPPE2t+1JqHwPeig+DjNl0HTMbbqhGEzUr55N8MhO9JDva7cNV+w//kZCd0Ib115jfHsD7+6IsPRQ42Imx/LTyuIonZ7yUORQKfPouHySrFqFKPj3+tEjOulj0gkcDsQrlQN6WCdwKECoMkTg8Ak382TXSDhr/X5KwmEezM3FoijMOHiQikj8adWTVS6MwLF4bVEUbnA6qY5GKJHQnfCOPcF2+2sxGS0kW1LxBOoAOFK9j4WbZ3PZ6Ls4Z8DPCUWCbD64ooVbLFpaIBzhjdUb6N02F01VefuLzVS6vS3dLCFECzrlq5rbB0wlc+rd2DoOBiC57zmkDp5OqGw3itFM+lnXY+8zAdVi/+4vk9CdsKZ2MfDuDBuVPp1q/7cnJk8oPuZbQnfrokfiv2/VoqJZNYwOIxB/El69uJrSWaVSvTxBnfgrXeb1ogCV0QhOg4ZZOf5pGLApCpelpfHXvHxyDAZuKC6W3SIBfblC+bFu48VVe8hLb8eAjmeiqlrD55FomD2lm1m+7QO2HFzZrG0Vza8wI41Bp7VlSPuCb12vxudn0c59fLZ9j4RuIcSp/8TbveZdzDkdSRk8HXQdU2YRle89RODABuqWv0HamF+Q1GMMoODZ9DGxgHTxaW06pKs8fKaZ/5sf4Pm18mRKfDv/fj+pA1Jpe2NbFJMCOtStrju+gtyPSTgnThnW12rl0kMHuT0zi1udmVirq/jM4yGsx9fy6Tq6DiXhMDeWFBNF5ulORMeC9qBO40m1pROMBFi+/QN2laznwzUvcd6Q6zAbrewqWU+1p4Lh3SZzpHo/n216G5Dq5Ymse142lw7pS1mdm+wUO/0K8vn3F5skWAshvtOpPUpRM0I0HqSck+/AlNMBFJWqDx8nWLKtYbW0Mb/AUtQH75YFeDZ/Ssxf31ItFk1sRncDmytibKs8fsEzuI3Ga+dbmfS6j+0uuRBqlb7pSPcNy1NOT8GUZUIxKlR+UAmxb/kOkRD6Wa3cn53DfeVlrPX7MQBP5Lchx2Dg2aoqFnjcRIEbMjJ4pqqqYTuV+O4hEsOJRdGmDr6GwZ0mUOUuxWa2Ewj5+Mv7txKOBBnZ/VzG9r4Qo2YmFAkQCPt45J3ricXkFkwiM2kaPxvYm21HytlUUobNZOSq4QPQdZ3XV2+gvN7T0k0UQpzEEuJSUkvJIlpfQfqEm0nueSa1S2fhXvs+ejjYsI5j1JUk9xhLzYJ/4N22qOUaK5pM/zyVv4yzcPE7forrj+/W53Y28PwkC32e91Lm0TGoNEwXNjBfw6zxlTHfIoGccJRL6Z+CKTMeqOs+ryNUFvrGdb/XcpEQzkq2MzY5mepolEcqKzAqCmFdR+N4+F7p89LRZKav1crgPbslbCe4JHMK04bdyKcb3qSyroQ2zg5cOPwWTAYLD82+lnAkSLajALPRis2UzM4j69H1WKO5vkViaZ+ZwVndOxIMR/hw0w4q3PGQbTEauGH0EHRd57VVGxqWCyHEl52SY7ytHQaRPu4GANLGziRj4i0AVM97Et/2pST3GIOt01AUg7lhm9pFL1G34k2825e0SJtF0/viSIwpb/oortfpkaXSMyu+ey/YHyGqw2NnWYDjoRvgZz0MnNXegPGU/EsQ38vRwJw9I5ucC3NI6pKEpa2Fjg92xN7b/rXrftN3iMTj1DSmpaZyRnIymYb46KuwrmNUFKLAzSXFbAr4KTSaCOo6Q4+GbhnTnbiGdT2Hu6Y9h93ioM5XRTgaYn/5Nl5b/GdCkQB3T3seo8FMee0hDlXuZEfJWnQ9hiKhO6G5A0Eykmx0zc3CbIyP71eIF1F7ZuFKdGDmyAFk2pNatJ1CiJPXKRc3FIMJLclBUrdR5Fz2Z5J7nkn1p881fO764DFCFftJGXwBts6Nw7d73QfxAmrKKffPFt9TbQBykxVemWrl7uFmemWruENw67wA53Qy8NZ0K50yVAbkqTw41syVfUy8sTlMWK6VElrKgBQcgx0ceuYQBx8/SO3yWgAUs8Sn1s4VjfKky8VKr5fBNhuTU1KAo+GbeDfy+8vLubP0CLccKSFCfEy33ItJTAoKnkAdbn8NeentCJwwI0qxazevLf4zwbCPBy55E01tXCZHxnQntgq3hxeWrKbO7+fsnl1IMpsajgOBcITnFq2i1hcgKnN0CyG+wSnTgTJ9ws3Ur55NpOYIqAayLvgdlsLe+LYtwfXBY/GVThzzPeVOjBltca+fi2fzJxCNtGDrRXO7uq+RX/Qzsq0yxqMrQuxwxTjrNI3nJlkxaxCMgiekc8W7fpmnuxXIGJeBKcdE6SulpPRPIf/qfMreLKNmcQ2qRUUxKkTdMtwg0Z14wktRVSK6ju9o0bQuZjPXZmTg1Ay8VlvDPHe8EKcUTmt9DJqRTnl9uXD4LdR4yvnbnNsafV6Y1YUR3Sbz2uI/S9hOcGk2K1aTEU8wSDAcIRiJkp2SzDUjB1FW7+b11RvwBkPf/UVCCMEpErxVawrZM/6Aakul/PW7idSWkTLkQhTNiL3PBLw7llNz9Km3YjCjR+JjuzOn/w496MM159GWbL5oJkaVRk+uf97HyE0DTGwsj/LYihDbXTHMGvTL1XCHdMo9OpUyZVirkD0tG1O2idpVtbSZ2Ybyf5dTvbAaAMcIB5a2FsrfLkcPy/7QGlyTnsEZyUlYFJXaaJQ/VZSzJxSii9nMNekZZBgMvFZTw8cemQUjkZ1YSC3DnkM4GkLXddz+Ggyakc75/Thv8LXUel089eGdX/8dUr08YfXIz+HcPl3RAYvRyK6ySlbuPcjeyuqG8H2ktp631mzEI+FbCPE9nBLBG0CzZ5Ix8WaMzkLKX7uTSF05itFMUrdROEZchnfHsobwDWB0FhB2HeIU+ieK/8H49hrX9TdR7ddZVxrl6TXxng8nhu8nVofYWC4XSAntG/7c7f3sZE3Nwpxtpvw/5VR9Eq9KrVpU2lzXhlB5iLI3ypq3raJF3JTh5CKHgydcLkyqwqikZLpZLNxVeoQlXi89LRYuT0uni9nMAxXlrPb5vvtLxSnnxNA9od+l9G43HJPBQigc4O0VT7GvbEtD+J46+FpqPZU8PfeuFm61aEonnj6KMtKYOXIgczfvZGdZBQXpafRqm0Oy2czcTTvY56omy57ML88azo6yCl5dsU6uNIUQ3+mUGewcdVdS9dGThKsOk33JIxgcOejhIL4dy6hd+ipJXYaRPv4mVEsyWRfcT+qwi45uqSNlcBLbyEKNORfZqPTpFKaqXHO6ib9PjhdS+9eGME+tCdEtU+WeEWa6Ok+ZXV78GMeql5+eQuqQVJJ7JAPgXu8mcDBA1BsFFUxZJqztrLS9oS3GNCNlb0nobg0yNI0xyck8VFnBW3W1vFpTw9XFh1no8fBwbh5OTWNzIMCsmmrmu92skdCdsI6F7nP6/5yR3acy94tXeGXhQ3gCddx49kN0bTuASDTMzuJ1/HflcxRkdmLa0BtbuNWiKXTMygAa37PtkJ3Bvspqlu85gMvjY92hEhbv3Ic/HGZAuzZoqkqF28NfPl7K3E07JHQLIb6XUyqFxMP3E4SrDpF98cMYHDnEgl58O5ZRs/Cf2DoPJefyx1FtqbjmPHbClnJITFQd0lVOS1O57eMg18wJcMHbPp5eE2JkocaLU46H75c3hsm0KdQEZF9IdFnTssifmY9zopPCXxWSfUE26FDyzxI8Wzw4hjjo+FBHci/NRdEU9v5+L1KmunUwKwpZBgMVkXjND+PR5feUlVIaDnN5WjoAGwMBnqpyEeMUO0mKH6Rddjc65/fjn5/+ns0HV2C3OCjM6syR6v1cO/4PdG3Tn0gszK4j63lu3m94Z+WzLd1k8RPrkpPJOb26kmw2NVqu62C3mjEbtIZl+101bCkpo3teNhZjvLCey+PF5ZEbdEKI708/OV9K4/eK2vDfWkqmnjXjD3r+DS/rBkdOfLmq6Vpyum5p1+/4uidsI6/Ee52Wpugbr0vSj/wqWb+0l7FheYoZfWY/o77rpiT9hcmWRstbus3yatqXZtf0ojuKdEuRRddSND1lQIre7e/d9NzLchvWMaQa9KQuSbox06ijHN1Wbfm2y6t5Xm8VFOqP5B7fH7SjrxfatNHvzMxq8fbJq/le2Y62+vi+l+iA3iX/dP3By97Wh3ebrCdbHPpd057TH73yfb1X0bBG2yhyXZFQrxSrWbdbzDqgpydZG5b3K8zX75typt4x29lo/TZpqfqdE85otK685CUveX3f10l6M//4SJvk3hPImHgrzil3YusyHIBofSVVc5+Idzu/+GEMqdkQixL1VBPYv46GKcOk4ElC84fhg10RFAWGFxy/K10fhDe3hHl4eYjzuhh4cqKlYblIMCc8pTakGjCkGgiUBAiVhojWR6lfU8/hZw6TNjKN3EtyQYVIXQTvDi/hynD8MKMQf+ItEsaJnRdSVZVU9fip7s3aWtqZzNzqdALxiuVRwKaqeGJSv7w1Ka89zJKt7wEwpMtEvtizgGXb5uAJ1FJZV4I3UM+YXtMbbSOF1BJLvT+IOxDEmWxj5siBjO/eCYB1B0vY76rhooG96ZTtxGaK94/pW5BHTNfxh8It2WwhxCnK8N2rtIR46HaccQVJ3Ufj3/sF0foKnFPupCY5HffaD+Ldzuf+jYyJN5N3zQuUPHslUU/1CV8hJ8dEV+rRefLzEMGozpV9TNw3ysx9i+Lp2h2Ct7fF5+defkimkktY8UMF2dOzsfe2oyVr6BGdmiU1BIuP7gvr3Rx+5jBtr2uLalEp+VdJ4/mh9OZvtmhax36ltzidDLUl0dZo5BOPm4UeD/+tryPLYGBSSgpDbElsCvjpbrFgVzWer6pq0XaLn56mGojGIo2KqZ3IH/JgMSWRn3Ea+8q2AGAyWFAUlVmLHmFP6abmbrJoAeFojK1HKuiRn01Mj/HJtj28vGItlw/px88G9iYYiVLvD5CTauf5xavxh+W6Qgjxw52kwRuSuo0iqcsIKv/7IKHSXViK+pIyYCppY36BarFTt/wNou5Kquc/jb3/FKLe2pZusmgGA/JUemZrpFsVPtwVYbsrxpOr49N4XNQjfkf6WPiuD8IrG+WudEI6ofxs6qBUUgel4vrIhWpWyTo/C+dEJ+VvlxOpjV8cude7KX6xmIwxGfJ0O4GdWJX4Ekca01MdPOmqJEnVGGyzcYszMx6wq6tY7/cz3ZGKQ9PYEgjwSEUFUeJjumUXSQzTh95Iz6KhPPDWlYSjoW8M34GQl31lWzlnwJVYTDa6FQzCoBrYezSIf9N2InHU+QMs332ASDRK34J8Yjp8tn0Pr6xcR4/8HFIsZlDgrTUbqfb6W7q5QohT1Mk515ZqILnXWQB4NnyE9bT+OCffTs3CF0HRSB9/A7WLXqJ+zXuNn2xL9/KENq2rgX9MsbKnOobdBAWpKr9dGOS5L0JYDAo3DTQyrauRj/dGuOMT6VfeGiR1ScLe206wNEjNkpqGZYW3F1K3so7y2cfDdyMn55FP/ES6mM1MTklhayDAXHd8Lu4io4kZDgf9rFYeqChncyDwle00GneGEKe2gszOXDbqTgJhH0/Mue1bw7czJY8ze19Ibno7aj2VvLzwT8RiUZmnO4EYNZVwNIaqKMR0ndMy0ynMcKAoCiv3HsIfCuOwWRh8WgG92uSy/lAJn2zb09LNFkIkkJP28lOzZ6KoKno0TNb0+/Bs+Qz3F+9hdBaSc9ljKEYz1fOfwbNxXks3VTSDrk6Vzy638evPgvx7axh/BH493MRtQ0z8fkmIJ1aHyLMr3DLIxBmFGpNe91PlPyl3bfETMTqNdPhDB1SzSuWcSir+W9Hwma2TjaI7iqhbWUfFuxWEq6XnQyIzKgphPf733sti4fWCQnTg/vIy/lNX17BekdHEU/n5vF5bw+u1tS3TWNGs8tLbcdnou4hEwzzxwe2EI8FvfYJtMdoIhONVqlVFJSahOyH0L8xncp9uPDpvMZ5giB75OVw8qDeldW5SLGY0VeXvSz6ntM5NqtXCkPYFdM/LZuuRCuZt2dnSzRdCJIiToLja8TI4qjUFxWRDMZiJuiuJ1JWjJaeDquLfvxYAPRLCs+kTKv5zP55NH7dUo0Uzy0xS8IR0lhyMEDj6APNPy0L8dXWIB8eYaedQOOLW+cvKkITuViLsCnPwLwcJVYawdbRhKbI0fObb5ePAowdwDHfgGOZouUaKJjfUZuNSRxrdzGYANgUC3FtehgL0t9pI144XXjwQDnEgHKKXxdpCrRXNQTnhuiLDnssXexZQmNWFa8f/AaNmQkdvtM6JjoVuQEJ3AjlYXUu118cNo4dgt5hp50zjnXVbeWrBCp5euJJD1bVce8Yg8tNSqPMHWLn3ELsrXI0KqwkhxP/qJAje8YCUMmg6mef9huyLHiT7oj9idBY2rGF0FmDJ74Yxsx1pY2dicOQQ2Lf2ePVykbDO62KgU4ZKNAZtUlSC0fgeYzlaneChZSEqfTqjiuILKry6hO5EdMI1smI8+kYF324fR/51BFOmCec4J5aCxuF77+/2UvlhZTM3VjSX81JSeSAnlzZGY6Mg9U5dHQ9UlDMpJYWLHGlkavHjg01RyDUYKY9IYaREduxp9rmDrmHa0OsxGyxs3L+M/Iz23Dr5L98ZvkXiqXR7mbVqPf5wmJvHDCUn1U5FvQddh1pfgLc+38h+Vw0zRwwk3xEP34t27uPFZWvwSQVzIcRP5KToap464lLsfSZS/cmzRGrLyTj7lyhGM+Wz7iDqrSF16M9IHX4xkZoyYkEvZbNuB5n2JeH1y1VZMzOJ6z8M8MLaMEuvtBGJwTmv+/AdPQ86LLD0yiR+tyjIO9vlYjohnXCUyhiXQVLnJFSzSuBIANeHLiJ1EZK7J5P38zx8u3245rkIHPrS+F2pmJVwJtrt/CEnl9+WlbLU68Ub++ov+Iq0NO7IzGJzIMCOYACnZiDfaGTGwQPIpXRiy89oz03nPMzLC/7EjuJ4j7n2OT255Izb8Qbrv3PMt0hMGck2pvbtTuecTJ5esJKDVTUNpxiL0cAF/XvRs00Of/1kGUdq61u6uUKIBNPij4vVJAeWgl64PvwLvh3L0JLS0OwZ1K+eTdQbL5ZUt+JNSv91K645j1L2yq/ioVuedCe0HlkqfXM07vksyAtr45fIf1oWwqTBR5fY6Jiu0itb5dZBZjKsCl8ckRsxCeuEKcMyJ2fiP+AnXBPGdpqN9ve2x5huxLPVQ8lLJVjbW8melo0p29T4OyR0J5R0TeNnjjT+XFnBPLe7IXTbFIWeFgt9rfGu5C/X1PBARTk9LRbamczMc7s5/2joPmmn9BA/CYvRhqYaKa893LBsf/lWZq98hoLMzlx91u8wGSwSuluJ9CQrKRYzVR4f763fxgFXNRcN6k2y2dSwBwTCEf6zdjPrDx0hFJFrCiHET6/Z06uWktm4AZZkjOn5BA9vwdKuH87Jt1O7+GU8Gz5CMVqwDzgPxWQlXLGfUNluQJfq5Qkuz67wr3OtPD7egun48Ew+3hvh94uDxHTYcF0Sb19g5ZKeBs553cehOrl4SmSmbBMpp6dQ/EIxlXMqKXmxhJIXSwiWBim6owgtScO7zUvprFJioRihilBLN1k0sXRNo+KELuMzHA7+mJvLGwWF/Dk3j1kFBQC8WVvLHyrKOd1qJddowKTEuxdL/5jEVlK9j0DIS7/2oxqWxfQYhyp3UVlXTLeCgVww7KaWa6BoNt3zsrlq+AA652ZiNRpwebz8e80mPIEQN40ZSrI5fqNWAfyhMG+s3oDL423ZRgshElKzBm+js4D8614kqedZDcui9S5CZbtxnHElmefeTc2Cf+DZ8BEAWnI61nZ9Med1bvxFEroTwrHRdYYT9sJOGSpH3Dr/2hjiiDvG+PbHn0tFYjB/b5TRL/s48xUf57/lZ8RLPtaXyf6QaIwZjYvZaDYNY7qRcM3xDsLBsiDls8uJhWMkdUsCwLPZw+GnD8efksvwzYSWpKqMTEpmkM3G43l5XORwUBONMrP4MA9VVODUDFyfkQHAW7W1PFxRwc3OTK5NzyBJlR5TieLL47RVNX63NhT2s/ngCnoUDKJ/h7ENn0djEUqq9vGXd2/h9SV/ada2iubXLTeLiwf14fP9h9lRWok/HL/l5vL4eG3VenyhMNcfLbgmt++FEE2tWa8+InUV1K9+h4xxN5DUfQwAeixC1FODve9EvNsWN1QqVwxm0sbOBF0ncGBjczZTNBMd6JCu8sIkC0YVpnczsP3GJNqnKby4LsxjK0M4bQqvnmf5SkhfWRxla2WMcq+cKhONOc9Mp0c74RjhaFgWLA8SLA9i72k/Hqh1CJQEUM0qJqfpq18ku0bCqo5GuaeslPF2O/dn51BoNPGnigqecLlY6fOxyhcf862eEMpm1dbwhKuSi9PSpJt5gjhxfPbontO4fMyvuX3qk4zqcT5pydl8tPZVPIF6xva6gEtH3cHQLmczc9z9OJIzOVixA12PociwtYRlNRkZ07UDn23fw5Jd+/GHwiSZTfRpm0vHbCc1Pj8vr1iLAlw9fACK3KwVQjSxZr3+0MMB6lb+Gz0cIOOcX6LHIvi2L6FmwT/QUjIx5XbEOeVOInXlmPO7oZptlL78S44/vpIr6URjNcAVfYx0SFcZ0lbjyvcC7K2J/55nbQqjKXDN6Sb+NdXCFe8GiMRAVSAmu0LCCleFcX3kIu/yPIhC7Ypa9JBO4EAAex87ocoQ9V8cL3oT9USJ+mQ8Xmuzyudj4v592FSVkvBXS6V5YzEqIvHlx2rrvVhdzdu1tdR/TSE2ceo5FrqnDPwFQ7uczYodc4lEw4zscS6d2/TjgzUv8eaSxxnQ8UwGdRpHtqMAb6CeFz6+t6GquS496BJWNBYjEosRjERx2CwMaV9IYUYaual2fKEwq/YeZPGu/fxj6efoOuhyXSGEaGLNl2YV9ehRLf7j8q97ES0lk6q5f8O75TNUcxLJfSZibtMNPRIkUltG7ZJXj08ZJifHhHMsQN82xMQjZ5lZUxJj4mteak4oSG01wOW9jVzZx8QRd4zz/+1vuQaLZqNaVTLOyiBrahbFzxdTt7oOLUmjzXVt0JI0QuUh/Pv92PvaMSQb2PO7PVJATQCQpmn8MSeXNE3jkkMHZbdIcPkZ7bn6rHt5bdFj7C3bDEDn/H6M7jmNcDTEG0v+gi/oBuIF147N060qqszTneBUReHyof1ItVrISbWz/UgFO8sr2VXmYlLvrniDId5Zt6WlmymEaEWa9Im3pbA35rwu1K18q1Fwdp57N7GgD9+6uWScfSsoCt7Nn1K/+j+w+ktfIqE7YR17al3u1blvUZA7h5l5YbKV2z8OcPBosTR/BF7dFMakKVzY3UBuskKpR25LJywV0CHmj1H5fiVpI9Noc20bFKNC7bJaDj97mPTR6SR3TSalXwqhqhAHHjsQD93SKaZVc2ga01NT6We1ka5pXHo0dMtMcolN13UsRhsx/Xivl50l61BVjSvH/obc9CL2lsYD+bHQDUjoTlDJZhNRXcekadT5A8xatZ6uOVkoCmwpKSd29LF2TI8RlX1ACNHMmi54awZsXYZjzuuCHotQv3o2AM6pv8aYnk/F2/cT9VYTC3rImHAzxKJ4ty786vfIgTFhjWmnMbrIwF9Xhajy68zZFWHplUmAhV/ND3C4Pn6C7Jyh8uTnIV7eGKI+2LJtFj+9pK5J2DrYqJxT2Sghtb2xLVFfFPcGN/lX5QNQu6wW14cuXB+6UEwKeuho0pZ01erlGAz0tdo4FApxc2UFUUADZBBCYlOPjtFOtcUL6amqRiwWZfvhNdR5q2iX1b0heIvEdOyea7fcLMZ07YDVaCAUjbJs9wHWHixhc0lZw7pWo4FRXdrTOTuTpxasbLE2CyFap6YL3tEIdcvfIGXQNGwdh6BHwpjbdMWYlkflOw8QdVcCUL/qbdBjZJzzf0R9dQT2r2uyJomTx3ldDPxrqpVn1oTokK5SVRJlQ1mM4f/0suyqJGK6hSc/DzGmncavh5speNxDpU8eZyYaxaCQOjAVWwcbelTHNdcFQNub2mLONnPw8YOE68JEfVHyr8yHWHzMN3A8dIOEbsGOYJC7S4/gPjp+W0VCdyI5sZDasXANUFy1h80HV3LRyF/hqi+luGoPADazHV2PUedztVibRdP4cucmHeiam8Ulg/syf+sujtTW0zU3ixkDe2PQVFbvi8/l3qtNDv2L2pBpT+a5xaupcHtaovlCiFasyTtnaklppAy5EGv7AfFiaf+8mainqlEXcsVoIanrSDybP5Un3K1AV6fKp5fbeGBJkGe/OF4USVMgqkOvbJUPL7bh8ulk2hQmvyFThiUyg8OA82wnttNs1K2uw9bRhinHxOEnDxOqjM/HrZgUMs/OJHNKJgcfP4hns1wwCdFanBi6z+hxHh1ze4GiUO0u552Vzx7tVv5burcdyILN/yEY9tMxrzcptgwemX2ddCtPIMcuWvMdKXTNy+LTbXtItVqYMbA3246Us2z3AewWMzePGYo/HCbXkcJ/121h5d5DaKpK/6J8dpe7qPZKvRghRPNrllGRqs1B6pALMed3xbdjCfWf//foT/+a8dsypjvhTels4L4zzIx95XghtWM7YsNJ1a6QZ1c4XK9TJmO6E54h1UDm5EzsveyoNpU9v91DpDbSqAu5alZJHZRKzbIaecItRCs0ZeDVDOlyNit3zCXZ4qBLm9Nx+2t49qPf4AnUck7/n9M+pyeaZqDKXcasRY8Qi0VRFFWqlyeAY9cHual2/u+sESzZvZ8PNm4n2WxiaIdCVu49BMB1Zwxin6uauZt2cP7pPendNpc5G7axdPeBlmy+EEI0XzkiNclB6pAZmHM74tu1smHMt1REan1+1sPAI2daGPZPb8M47mPGtNPY4YpxxC37RGujpWhkTsokqWMStatrqZpXFf/g6w4RMqZbiFYlx1HIdRMf4K2lf2N78RcAZNhzmTn+fsKRIH9+92YATAYLkVi4oSu6VC9PDCeG7pvHDmPJrv3M27Kz4XODphKJxhjXvSNt0xy8tno9gXCEiT07c3phPkZN46GPFuEPfXXqQSGEaC5qc/2gmLeWupVvETyyC2uHQThGXHr0EwlYrc2hOp00q8KkTgY0pfFnF3QzclVfI8rXbyoSWLQ+iutDF769PlIHpOI82xn/4FhXiBPJdbQQCW1k93M5+/TLG95bzUlYTcmU1R5qWFblLuXVhQ+TlpxF/w5jAAhHgg2hG6R6eaLQgYxkG7eMHcbiXfsahe7TC/MpSHMAkJNixxsKEQhHADBqKvO27OLBDxdK6BZCtLhmC95wNHyv+jeR2jJUm6M5f7RoQf3zVGZ0N3DnMBO5yQorDkf507Igf5tg4YYBJro6VdqkKDx0pplpXQ28tSUit2NaqUhdhMo5lfj3xefozjo/K/6B7BBCtBpDu5zN9GE3caT6QMOysppDhKMhercb3mjdWk8l4UgQi9EG0DAWXCQWBRjYri3BSARfMNSwfGzXDkzu3ZXw0Zst+6tq6NM2j3HdOzJjQC/6FeRzwFVNMBJpoZYLIcRxTTqP99eJeWup+ewFYgFvc/9o0QLO72rgqYkWtlXGSDEr3D7ExO8WBXlwaQhdh3tGmPjtSBPlHp0kk8K4WT52V8sTitYsUheh8oNKsi/MxpDS7IcoIUQLGtZ1EhcOu5l/fHwfmw4sb1juD3nYfGAFPQuHUOetYv2+xQCEIgH8IQ/RmNSwT2Q6sHz3AYyaRp+CPCKxGGaDgREdi3jz840crq4DYMOhIySZTPTIz8ETDPHCks9xeXzf/uVCCNFMWniAtYzvTmS9s1XmXmLj158FeWVjGJsR3L+2c/enQR5dEb9j3T1TJTs53o94W2VMCqmJBlqSRtQXlUOEEK1Er6Jh/GLcfbww/162HDw+x/KUgVezaud8AM4dNBNHkpPiqr0crtxF3/ajSLak8tDsa6WAWitgt5gZ27UDnbKdZCTb+PuSz9lTUYWqKMT04ycLs8GAruuEonJDRghx8mjhx0lyRZ0oBrfR2F4ZpS54fFmuXWVzeYxXNobpnKEy71IbL64PN4TudKvC1soYWytbqNHipBb1Hr1gkvtzQiQ8g2qka5v+VNWXkmHPaVg+c9zvyUjJYfGWd6nzVfHuqhfoVTSUAZ3OIjMlH7e/hqfn3oWux6R6eSvgDgT5dNtudF2nfVYG+Y4U9lRUEdP1RuFbupYLIU5G0o9T/M9Oz1VZfpWN/7cwyJOrQ7iPDr/q4lRJtUCKGeZdamP+3gjXfxCfP2xyJwMjCzXuXRjEL+dH8W0kdAuR8CKxMB+te5VILEz/DmNQUDgtpwfp9iz+8fHvqPPFZzmorC/hs01v89mmtzFoRiLReMEsqV7eeniCIRbs2IuiKPRqm4uqKizcsY+Yrst9WiHESa1Zi6uJxLS2NMadnwS57wwzNw40kWKOL//v9jBJRoXy2+3M3xvhug8CDSfEkYUaXZwqJq3Fmi2EEOIkUu+r5uP1b3Cociejep5H5/y+PPfRb3HVl6IoX71cORa6QaqXtzbuQJDPtu/hcHUd3XKzGde9IyChWwhxcpPgLX6UY7M75dnj//XnlSFu+zjIH8eYuWGACbsJyr067+2McLguRo0/fjrsmK7yxzFmrupr4q5Pg426pgshhGjd3P4a5q17jc0HV1HlLqV/h9EA8a7kMtGkOMGx8O3yeCnKSMNmMrZ0k4QQ4ltJrxzxgx3baXpnq7z7MxvXzPHzyb74eNybB5r46wQzv10Q5KFlITJsCrcOMnFpLyNpFoWDdTEMKlzyjp8NZfKEQgghxFfZrWlM6HcJBZmd2bh/OZ9ufLOlmyROUslmExDvgi6EECczCd7iBzm2w/TKVll1dRKPrwrxmwWNH1v/crCJP48z8/8WxqcNM6qQZlUY005jV1WMI25dqpcLIYT4VnZrGuP7XkzbzE7sPrKBD9a81NJNEkIIIX40Ka4mvrcTQ/fKrwndXZ0q210x/roqRDQGf51gRtfh6TUhKrw6b26RKmpCCCG+H7e/hvnrX2fq4GuwWx0t3RwhhBDifyJPvMUP0j5NYfP1yTy2MsS9C4+H7ntGmBjWVuPq9wMNT7NvHmjisXFmHloW4rEVwYZq50IIIcT3ZTPb8Qc96HK5IoQQ4hQmxdXE96YAV/U14Q7pVPmOXwDdPdzEHUPN/G11iDKPjnq0/s2Tn4f43aIgNw00YdSkKI4QQogfzhd0o6NLcTUhhBCnNHniLX6Q3GSFO4eZGNxG418bwqSY4+8vecfPx3ujX7tNmgVqAs3cUCGEEEIIIYQ4SUjwFj9YdpLCb0aaOes0jfZpKuNn+Vh4IIqmQPTo3nTfKDP5doWZcwKykwkhhBBCCCFaNelqLn6wcq/OA0uCzN8bYVtljL65GtA4dN851MSzX8QHdUvoFkIIIYQQQrRmUtVc/CgVXp0/LQ2hKgoXdDNgUOGR5SHuGWHizqEmhr/kZV2pzNMthBBCCCGEENILWPxPjnU7752tYtYUemWrErqFEEIIIYQQ4gTS1Vz8T8q9On9cEmRPdYx0Kwx5UUK3EEIIIYQQQpxInniLn4TTpqAq8S7oQgghhBBCCCGOk+AthBBCCCGEEEI0IelqLoQQQgghhBBCNCEJ3kIIIYQQQgghRBOS4C2EEEIIIYQQQjQhCd5CCCGEEEIIIUQTkuAthBBCCCGEEEI0IQneQgghhBBCCCFEE5LgLYQQQgghhBBCNCEJ3kIIIRLaiP538Yvpi1u6GV8xafRTTB//aks3QwghhBDNwNDSDRBCCNH6TBr9FL07XwxANBqm3lvCzn0fsOSLhwhHfC3cum9XkDeMy6bM4bF/FhEM1f/o9T5Z/mtAacKWCiGEEOJkIcFbCCFEi9h76FPmLLwJVTVSkDuYc874G0ajjXlLb//KuqpqIBaLtEArm04w5G7pJgghhBCimUjwFkII0SIi0SBefwUAW/fMpjB/BJ2Lzmbe0tsZ0f8uOhedzZrNLzDs9Ntw2At48HknKcn5jB/2MEVtRqLrOnsPf8bHy+7C669s+N4hfW5lYK/rMRqsbN/7Hr6Aq9HPvXTK+5S7tvDJinsalk0f/yqBUB0fLLwJAE01ccbAe+jeYRo2q5N6TzEr1v+NAyWLuWzKHABuv+oAABt3vt6w3Q8xafRTWEyp/Gf+ZQ3tqqjaSiQapE+Xy4jGQqzb9i+WfvFwwzZmk52xg39Pp3ZnY9AslFau55MVv6GiausP/vlCCCGEaD4SvIUQQpwUIhE/qmpseJ+W2o6u7acye/4V6HoUgAvGzyIU8fHqe5NRVQMTRjzKeWe9yKz3pwDQtf1URg64m/lL7+RQ6Up6drqQAT2vpbb+wA9qy5Qxz5KfPYCPl91NedUWHCmFWC0Z1HtK+M/8y5k+/hWefWMAwZCbSNT/k/0/6NnpIj7f9Awv/fcs2mQPYPLopykuW83+4kUAzJj4Fv5gDW/NnUEgVE+/rj/nkknv8uybAwgEa3+ydgghhBDipyXBWwghRIvLy+pH9w7TOVCypGGZppp4f8F1+AJVALRrM4qsjO489Vpf3N4SAN5fcD3XzlhJbmZfSivXM7DndWzc8RobdsSLli1e8yDt2ozCoJm/d1vSU9vTrcN5vDbnPA6UxIuy1boPNnzuD9YA4PVXfusY7x+jonorS9c+AkBN3T769/gFRfkj2V+8iMK8EWSmd+OvL3ciGgsB8Nmqe+nU7my6nnYu67e//JO2RQghhBA/HQneQgghWkTHwvHccfUhVMWAqhrZdWAu85fd1fB5nedwQ+gGyHB0ot5T0hC6AVw1O/EHa3GmdaK0cj0ZaZ1Yt+2lRj+nuHwNRXnDv3e7sp09icUiHCpd/j/8636cL3cZ93jLSbJmApCb2QeTMYlfXbmn0ToGzYojpai5miiEEEKIH0GCtxBCiBZx4Mgy5i25jWgsjMdX9pXiaeFw4+rmiqKgo3/lexQUdP2ry7+JrsdAaVxNXDuhi3sk8tN1Hf+hvvz/QEdvaKuiKHh85cx6f/JXtguE6pqlfUIIIYT4cWQebyGEEC0iHPZSU7+fek/x96pY7qrZSWpyG+xJ+Q3LnGmdsZhTqardBUBVzS7ys/s32i4/q/F7n7+KZFt2w3tFUclM79rwvqJ6G4qiUpA77GvbEY2GAVAV7Tvb/FMqc20i2ZZFTI9QU7+/0csfqG7WtgghhBDih5HgLYQQ4pSwv3gRFVVbmTr2eXKcvcjL6seU0c9w8MgySis3APD55ufp3fkSene+hPTU9ozsfzeZ6V0afc+BkiV0KDiLDgVnkeHoyIQRj2E2pTZ8Xuc+zKadbzJp1JN0KjqbVHsBBXnD6Np+KgD1nsPoeowOheOxWTIwGpK+td1Z6d3IzujR6PVj//3F5Wu4YPwsTmszhlR7W/KzB3LGgHvIzezzo75TCCGEEM1DupoLIYQ4Zbw9/1LGD3uYy879oNF0Ysds3/tf0lKKGD34dxg0Mzv2z2Ht1n/Svu2YhnU27nyNbGcPJo95llgswuebnuXgkaWNfs5HS29j9MD/x4QRj2K1pFPvKWb5uscBcHtLWbLmIcYMupfJo59i0643v3U6scunzv3Ksj8+l/6j/v1vzZ3BqIG/YdLoJ7BZnHh8FRwqXYHHV/ndGwshhBCixSjwNQPmhBBCCCGEEEII8ZOQruZCCCGEEEIIIUQTkuAthBBCCCGEEEI0IQneQgghhBBCCCFEE5LgLYQQQgghhBBCNCEJ3kIIIYQQQgghRBOS4C2EEEIIIYQQQjQhCd5CCCGEEEIIIUQTkuAthBBCCCGEEEI0IQneQgghhBBCCCFEE5LgLYQQQgghhBBCNCEJ3kIIIYQQQgghRBOS4C2EEEIIIYQQQjSh/w+wd6R6+QwAQgAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create figure and axes\n",
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "fig.patch.set_color('#000000')\n",
+    "\n",
+    "# Box Plot\n",
+    "box_data = [df[df['Product line'] == product]['Tax 5%'] for product in product_lines]\n",
+    "# Plot each box with a different color\n",
+    "box_colors = colors_bar[:len(product_lines)] \n",
+    "for i, data in enumerate(box_data):\n",
+    "    boxprops = dict(facecolor=box_colors[i], color='black')\n",
+    "    whiskerprops = dict(color='black')\n",
+    "    medianprops = dict(color='red')\n",
+    "    ax.boxplot(data, positions=[i+1], widths=0.6, patch_artist=True,\n",
+    "               boxprops=boxprops, whiskerprops=whiskerprops, medianprops=medianprops)\n",
+    "\n",
+    "# Customize legend for boxplot\n",
+    "handles = [plt.Line2D([0], [0], color='red', lw=2, linestyle='-')]\n",
+    "ax.legend(handles, ['Median'], bbox_to_anchor=(1.02, 1))\n",
+    "\n",
+    "# Set title and labels\n",
+    "ax.set_title('Distribution of Tax by Product Line', fontdict=title_font)\n",
+    "ax.set_xlabel('Product Line', fontdict=label_font)\n",
+    "ax.set_ylabel('Tax 5%', fontdict=label_font)\n",
+    "\n",
+    "# Customize x-ticks\n",
+    "ax.set_xticks(range(1, len(product_lines) + 1))\n",
+    "ax.set_xticklabels(product_lines, rotation=45, ha='right')\n",
+    "\n",
+    "\n",
+    "for label, color in zip(ax.get_xticklabels(), colors_bar):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax.get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "819a4692-14b5-4ad9-bbed-014ef27d9bab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Branch', 'City', 'Customer type', 'Gender', 'Product line',\n",
+       "       'Unit price', 'Quantity', 'Tax 5%', 'Total', 'Date', 'Time', 'Payment',\n",
+       "       'cogs', 'gross margin percentage', 'gross income', 'Rating'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e1fbb635-082f-4a80-83dc-237ea05c214d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc9bb61c-47df-4074-8338-7b4f6acfb0d9",
+   "metadata": {},
+   "source": [
+    "## Distrubution Of Rating By Product Line"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "b90cd356-7ab5-4b6b-a81a-538f42170f51",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create figure and axes\n",
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "fig.patch.set_color('#000000')\n",
+    "\n",
+    "# Box Plot\n",
+    "box_data = [df[df['Product line'] == product]['Rating'] for product in product_lines]\n",
+    "# Plot each box with a different color\n",
+    "box_colors = colors_bar[:len(product_lines)] \n",
+    "for i, data in enumerate(box_data):\n",
+    "    boxprops = dict(facecolor=box_colors[i], color='black')\n",
+    "    whiskerprops = dict(color='black')\n",
+    "    medianprops = dict(color='red')\n",
+    "    ax.boxplot(data, positions=[i+1], widths=0.6, patch_artist=True,\n",
+    "               boxprops=boxprops, whiskerprops=whiskerprops, medianprops=medianprops)\n",
+    "\n",
+    "# Customize legend for boxplot\n",
+    "handles = [plt.Line2D([0], [0], color='red', lw=2, linestyle='-')]\n",
+    "ax.legend(handles, ['Median'], bbox_to_anchor=(1.02, 1))\n",
+    "\n",
+    "# Set title and labels\n",
+    "ax.set_title('Distribution of Rating by Product Line', fontdict=title_font)\n",
+    "ax.set_xlabel('Product Line', fontdict=label_font)\n",
+    "ax.set_ylabel('Rating', fontdict=label_font)\n",
+    "\n",
+    "# Customize x-ticks\n",
+    "ax.set_xticks(range(1, len(product_lines) + 1))\n",
+    "ax.set_xticklabels(product_lines, rotation=45, ha='right')\n",
+    "\n",
+    "\n",
+    "for label, color in zip(ax.get_xticklabels(), colors_bar):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax.get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "610b376a-397d-462b-801d-5a8daad5cfbf",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e169e8a9-9630-4eec-90bb-13aa1df86e00",
+   "metadata": {},
+   "source": [
+    "## Distribution Of Quantity By Product Line"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "ca7fe238-fca6-4655-b235-cc61aad87a9f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Z60iTJK2JBfSztvYDHZ/EmvVxzjy5DJuOd+fqmtgw3RXc/YNUALC76PEG9oHWPnYwcoxdO+41sssK1JJ0tCunWw9rUAndGdjY2Yu9t+oTUb0Y3jb8rjIR0bmNizp7i3fXu9HGbpe7Dkt3GIYu7RJuB4osw9GtByVgxjsX1JPad5q7hqmveEuUtYP3c3G0pdvptLoeiHEaNk1x9L1z3pfzPUWdoVuSPuwxzL/r6+s17PpGP5/OKM/m7HY5sJOV8gNm77DV8zn2xn9ClTqzcWG30G2T1GBGu/Xgn+DK3elzvdPlM2RKKotvCz7j7T55k/yV+VK4VvVdQtOxrlzlG9tey3TDrhPcuXs1bzZmmvqgy2e2Z1s/3pWrIbb2IdAVibDe6hLwi+xuHdfjdT7PU6gXI7V7HbptMuSSoXF2n/6QPl4HdBm+X5+Idobq7Xk4VNnt8k9b1+juwGYd6czW3C7P9VmsuTN0S90/T3bD0HVdgvYXPcWydzlw2fOz+J6F56W2S7q2x2f7qR7D0GMydzgNZLD5INrUbcrIpi7rSuTYnN2+K4915XZbh2Jxl+13qxnXhi6P/ZJ3SK+1LwDACgRvYB/o64O2q6dPqegxZPI7acP1fs5c/cY/Tue4C5RrOPXfcI3+28fcvz2xMtbW65y4C2MtfR482BWVPerveXnuDs4FmywHO7Pk6dIbVZXofQb2rkNZPYZdB+3g76jq8Tf3XAl+V0/hJUlHurK7Xa7s0SvWs5fscGd2v+5SGj2ezdyDEwHZ+nkn9zBnlu5On6B3s+doee7BWpV3qFbmHdptjuzOzg0tqdfw5K7vk80wlLkb75MVIjK7DQV2GTZd6CnqvHyGu0AR09SL4Z2fsnB76s2ooj3e066vi80wNKdLr/tDPQLtJV2mj4y1+zTDmaFH+2H48i/Tx2pZ3iF6IXtW5znRmxIx/SdUqVMaFmj1DkbDSO09yF1tSoS0KRHSUV1OhSX13t723F5Nd6Z3Dref0+MzXxnv/tnr+bnvT1Md6Z2jMaT2AyYb+ljg8L7gFp3a+JlldexLPT+fwR4H9bK6HIQ6zJnV7bYmMya71PnT3GWEUZbNqYkdPeMAYCWGmgP7QM+hx5K69VztyIJYsxZGm7sNMc23uTrPDx41E3ohXKtb2tapcReHK+9IbT+fC7fnkM9gjwDf11zNZCvpsahRz5r7uq5kB8Gu54GMnuy7EUSH2rr/np49yj13Rv02h7INxy4PZd+ZnudKTtvJyA2f0fuwU10/trFrvEN1XdqIzsuPhir1dLhGbWZc96ZPVGHHe+nuo46eegbOnnbnfbLKf0IV+rK3pLOn9QJPke4JblZc7b3Lz4VruvXY7q6en1dpx5/Zd6IN2hQPdp4b/kBXlkbbvVobD+o8T6HWxgLdzuCwp/4Q2KTXO3rX46apJjO202kOXdVtJwTv7LPe14iOErtb9bFor21Xz179UB+vZX/ZOupgq4AZ7/Ndj8nc44OmA83OtqNdp00N6fG+Xu4t0eV9zAPvvL/NrSXas1FdALCrCN7APlDaI5RFzYSWdZmnvSOmpEublupbacN1lrtAOT2G6ToNm87wFCjf5tKlHSul742+dryttPv9pfvertSYrL+jZ49zX9GwP2tbFG3pNkqhZwDoqcTW+4DEkujeBzFJyjec3VayXxJt0Y+7nCd8Z0F6MNqcCOudaEPnOglFdreOdeVqczykyQ6/froPzpNu9vj3v0OV+kHayM7rvuAp1m1t63Wmu0D3Bcv65XeWxUOd5/jeE73HrPSt572s/jz1l4FYUzL1fN+eDlXr/lD5du+/oxXoAaC/MNQc2AcO6DEk8cNo0271QgSU0G1t63VQ/Ue6oHGx7mzbqFWx7sH9YFeWSnYSgpKhZ09jzwWFeg4fjHdZbbjnzpNzH/U4bukxZNTXx4iFnn/Hln2041bWYyGunqMpPD1e79ZErF9GQmz1cqT7MOZMm0PD+wjXW03rMs9Sah/p8X6XubBd329p997zmc4MObv8vZ/uwwWikqnnfOVLPMU6z1OolbG2XqvI766+Rgbs7DP7eKhK4S4H7M5yF+g0d77SDbueCvXPFBir7Oyz3tcCaOUdn/WqHj3uPdcA6PlZ7Glv2n7P3v40wz7gd+hcMvZZjT2nCISU0NJY63Z/+nMbCQDbM9C308CgN8Tm1qFd5pvFTVO/67Ly7M7MdmTopaxZ8ht2xdW+2uvdwc06pfGzbgsbSd0XrUqYffeBZBoOTbSn7bOFonoOxyzqcfnjHgsSNXXZAeq547orw9K311+fZzg10Z62S4vovB9tVKjLgZFCm6vXowq61BI0493OSW6lN3q850U9DrYU97j8ZrShX3vDFsZaOof8bnVKj/N6d3VSl/NKS+2nz+o6FLqpxw7v7rznPf+uSI8239cUj/60vbbmk00T7WnK2I3fv73Pa7HNrQn27vNP34jUdzvQc5ArS2d7CvV4P8ylzjac6tnau7b1hGnqkx6nNWswY3qpy4KM6TaHbkgbpbciDf0+daW/9WzLxT3aW8/LC6PNndM2Pu7xOhT3GN68s+3V3rT9JbGWbtOVHIbRayFOSbohbZRezz6g22Ke/dlud1WJza1leYfoTHfBzu/cD96PNHa7PLqP10aSHs6cqoU5B8rD7jCAfYAtDWAhn2y6I32cXF12qH7Rtk6LdqNXKs2waYzDpwu6LKIktYeOzV12viNmQuu6LK7T0GOHd2tPznmeQj2bPbPPnTQrHNpjkZt5XXr/Y6apB3qcC7jr6uHZhlO+Lpupw3osLNaXhh5z57ceYLjWN0zPZs/sc85xT41mTH/tcpomn2HXjC4rj89wpHcLdX8JlPXaibbKY6Eqre/yPh/YYzRF18tBM667Ok5v1J+ub1nVrYYve0v6bE8nu/J0aJf37Plwjf7RY7jnunhAjV3es65z2B0yev19Xa3vsaDWWIdv27/tPmX34+rpfdleWzvCla1ns2dqXo+2v8Pn6vJ57drrerN/tP6dObXbfU21r+belVOGnu6HBRYdhqEDu9Q9zeHv1tZfidT1Obf6oVD3z7Hf5tir1dX3lbeiDd0O/s10ZMjdZZtzYI+Dpnd0OWj6r2C5Yl0OmMzr0VYPce54e7U3bT8u9fpsn9Ej1OYYTp3uztfmeKjbGg/92W4HqpcjdVoX27Z9mO5I7zUyZ4YjXbMdGXo2XNNrwUsAsAJzvIE9MMORLruMboFaksbZfYqZptINuyY7/LrQU9TZC1KbiOiG1rV6pcdQ3dmOjG6nh5Lae7lmOzK0pEsI/Z5vuEptHr0TbVDITGiGI13ndwnjvwts7HZe1LciDZ2r/0rSxZ4ivR1p0MWeIlUnIloVD2iKw69x9m1hRZJybU7NdmSoxYxpVZdg4zfsGm9PU26PMDPO7lObGdeqWJumOtJ79biOsHv1S/9YvRCu0UxnRufcVEm6tW1dt3OSS9J9gTId4cyW3TBkMwzd7B+jZ8I1OtiZud1aV8bbOofuvx1t0HTntpB8hbdEa+MBnezO19JYq5rN+E5f84hM/T6wSXk2V+eq0bf5x+q3gY1KyNR1vuGdj3soWKE/djkH7I5e0/mxZk1x+Pt8jbbevjMRmfpy0+f6S8YkjXb4NNrh023+sXomXK1JDr/O9RRKal/x+TstK7WmIyDnGO2n2+nr/YuZptbHg70WTtueRjOmcxsX6Rf+MTrRnacMm0OPZ07X34JbtDjWIpdh0xHO7M6DRREzoXuDZfpjHwcB4pL+FtzSuUDaFIdfX/UO1ap4QBd6inqdA7vra7UmHtSbkfrONnW4M1tXeku0KR7SFd4hajPj3ULjbEeGahMRVSTC222r4+w+bYgHNdWRrvQePX9THX6lxe2dn4u3ow26StvOo3yOp1AJmfqyd6hCZlzzo80aZ/dpVI+2lm7YNduR0e01fyvSoLM73rscm1MXuAsVk6mDnVm9RjlI0qOhKn3DV9q5DXo9Ur/bC+gNt3mU16NXNWDGdZN/tP4Q2KQWM6bvdGnra2IB3dC6ts/nWhBr0YpYmyZ0rA5dk4j0WffOTHH45Zat12u/9X2XtMPPSbHNrSE2d69t89bHbv18d3Vt83LdmzFJM50ZyrA59MeMCXogWK4hNre+6m1/f8NmQj9tXdPtlGGfx9v068AG/ahjfvuRrhx921eqBdFmnezO15idbGP2pu1L0gOhCpXYPbqyY9Gwq7xDZUj6INqoAptLV3mHKipT/9fjVGu70m53Zq4jQzk2Z6/pTWPsXp3Yx6n7uq5NsnVbtKPP1/a20VMcfi2NtWq2I2O730VLY62KydQ1Lcv194zJKrF75DRs+nvmZN0V2KzqRESTHGm6yjtUK+Nt+lVgw07/XgDoD4ZYkwPYbQtyDlTGDk4tFDfbV5KtSUT0eaxV70Qb9EK4ts8FftbkHbrd5zmi/hNFZepCT5Em29M02uFTluGQ33AoqoSqExEtjrXq8VCV3utxvmxJuto7VKe78zXM7pFbNrWYMS2OteqOtg1aFm/Tm9kHbPc0Sx9Fm/SFpiWdl+c5M/VQj563rcriIX2haYneypnT67YbWteoxObWSe58FdlcCphxLYq16G/BLd3m+nZ1uDNL3/SVaoIjTaakDfGQngxVaUW8Tf/qo4YvNC3pPN+uS4a+5Ruu41w5GmJ3yyGbmsyoPok26/a29dqcCO/0Nd/SpUdvriNDF3iKNMuZofyOHb2aRFQLos16JFSpj3uEgB29pmNq393p7bvKI5vO9RTqBFeuxjvSlG7YFTIT2hAP6u1ogx4MVqimS5A+212gX6WP2+7zXd+ySk/uQY/pBHuazvIUaLYjXcPsHqUbDrkMmyJmQh9Hm/RBtElPhat7zQvu6XLPEF3kKdJQu0dhM6Hl8Tb9JVCmac70bguobbX1tfIbdn3PN1xHuHJUaHOpJhHR25EG/SlYpoczp/Z6rZ8IVekPgU19tlWpvd1f37Jqh7d3/Vyc7y7UhZ4ijbJ75TXsCphxLY+36Y+BTfog2qSHMqf26gndqutrnmHYdZ1vhA53ZavQ5pJNhmoTEb0bbdTtbevV0Eeo/n36+M5h/lc2fa63dvO80bf7x+qcjrC/VVk8pOtaVulbvlJNdfjlNmzakgjrpXCt7g2W7XBtios9RbrZP0ZS+yiQPQk0O/p8bLWjz8k3faV9tpeten6+t7JLOs1doFPdeZrs8CvTcChiJrQlEdb70UY9GKzQxkTf6zgc6szSld4STXOky2vYVJWI6JVIncriIf3MP3qnNexp299qpiNdF3qKdIAzQwU2l+KmqfJEWO9EG/W34JY+P3s7a7c7s6N2vSPXt6ySpO1ui7Z+vra3jS6Lh3Rkw6c7vX2rdMOuSzzFOsaVq1F2r3wdf+uaeEAvR+r0ULCC3m4A+wzBGwDQb9yy6fXs2Sq0u/VQsEKPhiq1Lh7sdaol7L25jgw9nDVNlfGwDm/4JOmvsE82vZ8zV36bQ8c3zO829QUAgP0dc7wBAP0mrIRualsnSfqCt1hPZ8/UkryD9Vr27CRXlnoWxFoUNON6Mlyd9NAttZ99YWGsRfOjzYRuAAB6IHgDAPrVK5E63dy6ttvCU9h7f8uYpO/7RnRePtWdJ5ds/bKa+Z64xjtUj2ZO67w81ObWPGemHumx8BsAAGBxNQCABR4IVejVSL2+4CnSRIdfcWY17TWPYdfZngItibXIbdj047RRejJcrU3bmXtsNadh0wxHui7zDNHGeFDf8pVqczykZ8I1SakHAICBjDneAAAMAld7h+osd4GG2t0KmAm9GqnTTa3rup0XfV86ypmtr/uGaUzHKv4LYy26oXVt0g4EAAAwkBG8AQAAAACwEHO8AQAAAACwEMEbAAAAAAALEbwBAAAAALDQfrOq+ebNm5WRkZHsMgAAAACksObmZg0bNizZZWCA2W+Cd0ZGBsEbAAAAALDPMdQcAAAAAAALEbwBAAAAALAQwRsAAAAAAAvtN3O8AQAAACBV+Hw+5eXlyTCMZJeyX0okEqqoqFAsFtul+xO8AQAAAGCQMAxDl19+uU4//XS5XC6Cd5KYpqna2lpdd911qqmp2en9Cd4AAAAAMEhcfvnluuiii5SVlZXsUvZ76enpuuaaa3TLLbfINM0d3pc53gAAAAAwCKSlpen0008ndA8QHo9HBxxwgDIzM3d6X4I3AAAAAAwCubm5crlcyS4DXTgcDmVkZOz0fgRvAAAAABgEDMNgTvcAs6vvCcEbAAAAAAALEbwBAAAAAIPa/PnzNWfOHLW0tEiSnn32WR111FFJrmqbpAbv4ZIuknSdpBslTejjPkd23P5/kr4kKX/flAYAAAAA6Cc33nij5syZo9tuu63Xbb/85S81Z84c3Xjjjf32+4477jg98cQT/fZ8eyupwdspqUrSC9u5/RBJB3Xcfp+kVkmXSmI5AQAAAAAYXAoLC/XKK68oFAp1XhcOh/XKK6+oqKioX3+Xx+NRTk5Ovz7n3khq8F4j6XVJy7dz+4GS3u64vVrSU2oP61P3SXUAAAAAgP4yYcIEFRUV6Y033ui87o033lBhYaHGjx/feZ1pmnrggQd0xhln6NBDD9XFF1+s1157rdtzvffeezrnnHN06KGH6qtf/arKy8u73d5zqHlZWZmuu+46nXDCCTr88MN16aWX6qOPPur2mNNPP13333+/br75Zh1xxBE69dRT9eSTT/bL3+7ol2exQLakdElru1wXl7RB0jBJ85NQ074WCAS0YsWKfnu+YDCoDRs2aMSIEfJ6vf32vBMmTJDP5+u358P20SbQE20CfaFdoCfaBHqiTSBZTjvtND377LM66aSTJEnPPPOMTjvtNC1YsKDzPn/605/0xhtv6Ic//KGGDRumzz77TDfccIOysrI0e/ZsVVZW6vrrr9fZZ5+tc845R8uXL9fvfve7Hf7eQCCgQw45RNdcc41cLpeef/55XXfddXr88ce79bY/9NBDuvrqq3X55Zfrtdde0+23365Zs2ZpxIgRe/V3D9jg7e/4f1uP69sk7fz05KlhxYoVmj17drLL2Kn58+dr1qxZyS5jv0CbQE+0CfSFdoGeaBPoiTaROiZeeqmcdXX7/PdGc3O1/IEHdvtxJ598su6++26Vl5fLMAwtXrxYt956a2fwDgaDevjhh3XPPfdo2rRpkqShQ4dq0aJFeuqppzR79mw98cQTKikp0Xe/+10ZhqERI0ZozZo1emAH9YwbN07jxo3rvHzNNdfojTfe0Ntvv63zzz+/8/qDDz5Y5513niTpsssu07///W/Nnz8/dYP3VmayC0iiCRMmaP78/uvbX758uS655BI9+OCDmjhxYr8974QJfS2LByvQJtATbQJ9oV2gJ9oEeqJNpA5nXZ1c1dXJLmOXZWVl6ZBDDtHzzz8v0zR1yCGHKCsrq/P2devWKRwO69prr+32uGg02jkcfcOGDZoyZUq382dvDenbEwwGdd999+ndd99VTU2N4vG4wuGwKisru91v7Nixnf82DEO5ubmqr6/f0z+304AN3q0d//d3+bckpfW4nMp8Pp8lR/gmTpzIkcNBijaBnmgT6AvtAj3RJtATbSJ1RHNzB93vPf300/XrX/9aknT99dd3u80027te77zzThUUFHS7zel0drvP7vj973+vDz/8UN/61rc0bNgwud1u/eAHP1A0Gu12P7vd3uuxe/L7ehqwwbtBUouk0ZK2HoOwSxoh6X9JqgkAAAAABpI9Ge6dbAcddFBn4D3wwAO73TZy5Ei5XC5VVVVtdzrEyJEj9dZbb3W7bsmSJTv8nQsXLtSpp57aueBaIBBQRUXFnv4Juy2pwdslqesC71mSiiQFJTVJ+lDSYZLqJNV3/DsqaccvKQAAAABgoLLb7Xr00Uc7/91VWlqaLrnkEv32t79VIpHQjBkz1NbWpkWLFsnn8+nUU0/VOeeco4ceekh33nmnzjrrLK1YsULPPffcDn/nsGHD9MYbb+iwww6TYRj685//3C892bsqqcF7iKQvdbl8Ysf/F0r6r6T31H76sFMkeSWVSfqXpMi+KhAAAAAA0O/8fv92b/vqV7+q7Oxs/eMf/9CWLVuUnp6u8ePH6/LLL5ckFRUV6fbbb9edd96pxx9/XJMnT9bXvvY13XLLLdt9zu985zu65ZZbdOWVVyorK0uXXnqp2tp6LuVtnaQG7w2SbtzJfd7s+AEAAAAADE433njjDm+/4447Ov9tGIYuvPBCXXjhhdu9/2GHHabDDjus23Wnn356579PO+00nXbaaZ2XhwwZoj/96U/d7t91NXOp/dRmPT388MM7rHtX2frlWQAAAAAAQJ8I3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAMAgkEol9eu5p7Jxpmrv0nhC8AQAAAGAQqKioUG1trUKhULJLgaR4PK6mpibV1NTs9L5JPY83AAAAAGDXxGIxXXfddbrmmmt0wAEHyOFwyDCMZJe1XzJNU01NTfrFL36hYDC40/sTvAEAAABgkKipqdEtt9yizMxMZWRkELyTxDRN1dTU7FLolgjeAAAAADComKapxsZGNTY2JrsU7CLmeAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGChAR287ZJukbROUkDSWkk/lWQksygAAAAAAHaDI9kF7MgPJH1V0mWSPpd0gKT7JTVJ+kMS6wIAAAAAYFcN6OB9kKSnJb3QcXmjpIvUHsABAAAAABgMBvRQ83clHSNpbMflaZIO1bYgDgAAAADAQDege7xvl5QpaYWkuNrnfP+fpP8ks6id2LRpk2pra5NdRp+WL1/e7f8DUV5enkpLS5NdRr+iTewd2sS+RZtIHtrF3knFdkGb2Du0iX2LNgHsmCHJTHYR23OBpF9L+r7a53jPkPQ7Sd+V9MBuPldTU5MyMjL6s7xeNm3apPETJioUDFj6e1KZx+vTyhXLU2ajuGnTJk2cMF6BYCjZpQxaPq9Hy1esTKk2MX7CeIVoE3vM4/VoZQq1CaljWzF+vAIh2sWe8nk8Wr4yddrFpk2bNGHCRAXZp9hjXq9PK1Jsn2LChPEK8v2xx7xej1bsg++P5uZmZWZmWvo7MPgM6B7vX0v6paRHOi4vlTRc0o+0+8F7X6itrVUoGFDuqdfJmTss2eX0YsYiijVVyZFZKMPhSnY5vUTrNqvuud+otrY2Zb4ka2trFQiG9OBZXk3MH3gzO4IxUxsaExqRZZPXMfDOF7C8JqFLngqmXJsIBUMaetVQuYe4k11OL4lIQtHaqJx5TtlcA6/NhsvDKvtLWUq1CaljWxEK6fbiYo12Dbx2EU4ktCUaVYnTKbdt4LWLtZGwflBRkVLtora2VsFgQJcd/SMVZQ28vykai6iupVK56UVyDsB9isrGTfrn67elYJsI6eJ5M1SQ4U92Ob1E43E1tAWVneaV025Pdjm9VDe36uGPFqZUm8DgMqCDt09Sosd1cQ3wiemSnLnD5C4ak+wy+jZ0UrIr2C9NzLdpVvHA+xKSpEMG3jGi/YJ7iFveEd5kl9G3cckuYP812uXWJI8n2WX0aWayC9hPFWWValj+wPxQjiqekuwS9ksFGX4NzR6Yvakj85JdATBwDejg/aza53RvUvtQ85lqH2b+92QWBQAAAADAbhjQwfsbkm6RdI+kAknlku6VdHMyiwIAAAAAYDcM6ODdKuk7HT8AAAAAAAxGA326NAAAAAAAgxrBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAvtUfA+7IAfKMM/tL9rAQAAAAAg5exR8B47/AR9/eIFuvjUpzR5zDmy2939XRcAAAAAAClhj4L33584Wn97/EhV1y/TsQf/Qt+6dLlOPOwOFefP7O/6AAAAAAAY1PZ4jnd1/TK9+v7/6Q//mqzn3/iG0tOKddmZL+or572rOVOvltuV3k8lDpH0L0m1ktokfSZpVj89NwAAAAAA1trrxdUMwyab3dUx3NxQMNygWZMu1zcuWaqJo8/ay2fPkvSepKikkyRNknSdpMa9fF4AAAAAAPYNx54+sChvuqZPuFiTxpyjeDysJase0cvvfF8NzeslSfOmfV3HH3Kblq99ai/K+4GkzZKu6HLdxr14PgAAAAAA9q09Ct5fPu8d5WWN0/qyN/T8m9/U6o0vyTQT3e6zZNV/dMxBN+1leadLelnSo5KOkLRF0j2S/rqXzwsAAAAAwL6xR8F7xdqntWjlQ2ppq9jufQKhOt16b94eF9ZulKRrJP1W0q2S5kr6g6Sw2ud9DzxFkqbWbZYz2YUMQtG6zckuwRJFkry18WSXMSh5a+MqSnYRFiiSNLk8LM4HsfvC5WG1JbsIixRJygqH5Ul2IYNQVjicktsKAEDq2LOh5oahYLix95PZPTpwxjf07vxf72VZW9kkfSrp/zouL5Q0We1hfGAG76sl3fjcb5JdxqB1Y7ILsMDVkiY+GUp2GYPSRLW/fqnmakk3/qUs2WUMWjcmuwCLXC3pmMrtH9DG9o1Uam4rAACpY4+C92Gzr9eCz+9XLBbsdr3T4dVhs6/vx+BdIWlZj+uWSzqnn56//90r6f1Tr5Mzd1iySxl0onWbteS53+j0ZBfSz+6VdMHZHk3Msye7lEFneW1c9z4ZSsk28dlVQ+UeQp/37gqXh/XxX8pSrk1I7e3isKJijXLTLnbXunBY91ZWpGS7AACkhj0K3oZhSDJ7XV+QO0XBcMPe1tTFe5LG97hunAbyAmuVkpQ7TO6iMckuZdAJq+P1SzGVkoJ5dqmY4L27gkrdNvH5ELe8I7zJLmXQSdU2IbX/XY1ut0IeBpvvrkalbrsAAKSG3Qre3718nWSaMk1TX73oE8ncFr4Nwy6XM00Llt3fj+XdKel9ST9S+wJrcyVd1fEDAAAAAMDAt1vB+3/v/ViGYejUI/+otz/5pcKR5s7b4omImlo2a0vVJ/1Y3qeSzpJ0m6QbJK2X9G1JD/fj7wAAAAAAwDq7FbyXrPqPJKmxeaPKqj5WIhGzpKjunu/4AQAAAABg8Nnl4O1ypisSbZEkVdYukcPulbYzZXXr/QAAAAAA2N/tcvC+7vJ1+v0DExUI1ep7V6yXafZeXM0wDJmmqdv+kt+vRQIAAAAAMFjtcvB+6NkzOlcsf/AZTtgBAAAAAMCu2OXgvani/c5/N7ZsVHPrlj7vl+Ev2fuqAAAAAABIEbY9edDXL14onyev1/Ved7a+fvHCva0JAAAAAICUsUfB2zAMSb3neDudaYrFQ3tbEwAAAAAAKWO3Tid27EE/lySZpqkj5vxY0Viw8zbDZldJwWxV1S3t3woBAAAAABjEdit4F+ZNldTe452fO0nxeKTztngiqqq6pfpw0V39WyEAAAAAAIPYbgXvh549Q5J06pF36ZX3fsT5ugEAAAAA2IndCt5bPffmtf1dBwAAAAAAKWmPgrfT4dPBM7+tESWHy+fNk2F0X6Ptnodn9UtxAAAAAAAMdnsUvE854vcqHXKwlqx6VK2BKvW1wjkAAAAAANjD4D269Fg98uKFKqv8qL/rAQAAAAAgpezRebxD4UYFQw39XQsAAAAAAClnj4L3W5/cqiPm/EgOh7e/6wEAAAAAIKXs0VDzedO/ruyMkfr2pSvU1LJZiUS02+1/e+KofikOAAAAAIDBbo+C96r1L/R3HQAAAAAApKQ9Ct7vzP9Vf9cBAAAAAEBK2qM53gAAAAAAYNfsUY+3Ydg0d9rXNGn0GcrwD5Xd5up2+2//MbpfigMAAAAAYLDbox7vw2b/QPOmXaNla5+W25Whjxbfo5Xrn5NpJvT2p7f3d40AAAAAAAxaexS8p4w9Vy+89W19tOguJRIxfb7mCT3/1rf0zvxfq6TwgP6uEQAAAACAQWuPgnear0DV9cskSdFomzyuDEnSmo0va0zp8f1XHQAAAAAAg9weBe+WtnL5fUWSpPrm9Ro5tP283cUFsxRPhPuvOgAAAAAABrk9Wlxt5frnNaLkcJVXz9cnS+7VmcfcpxkTL1GGf6g+Xvyn/q4RAAAAAIBBa4+C9xsf3dz57xXrntEDreUaWjRXDU3rtHrjS/1WHAAAAAAAg90eBe+eyqs/VXn1p/3xVAAAAAAApJQ9Ct5Tx12ww9uXrHpkj4oBAAAAACDV7FHwPu6Q27pdttsccjp8iscjisaCBG8AAAAAADrsUfD+7f2jel2XnTlKJx12hz5ceNdeFwUAAAAAQKrYo9OJ9aWhaZ3e+OhmHXfIrf31lAAAAAAADHr9FrwlKZGIKz2tuD+fEgAAAACAQW2PhpqPHX5it8uGYcjvK9TsKV9RWeVH/VIYAAAAAACpYI+C93knPtjtsmmaCoRqtWHLO3rtg5/2S2EAAAD7syJJQxo2KS/ZhQxC8YZNKkp2ERYokjS0uVUFyS5kMGpuTck2gcFjj4L3rfe2fwX4PLmKJyIKR1r6tSgAAID93dWSvvnGbTu9H/pWn+wCLHC1pOs+WpjsMgYtEguSabeDt9uVoSPn/kSTRp8ljztLkhQI1WrRiof17oI7FIsF+7tGAACA/c69knKO+pEKs0uTXcqgU9WwSfe+cZtOT3Yh/exeSenzZqggw5/sUgad6uZW3fvRwpRrExg8dit4e9xZ+tJZLys9rVhLVz+u2oZVMgxDeVnjNGfqVzRq6JH659MnqzB3ioYUzNanS/9iVd0AAAAprVJSeXap7Pnjkl3KoFOu9tcv1VRKKsvwS9mZyS5l0ClTarYJDB67FbwPm3294vGo7nl4ttqCNd1ue+uT23TRqU/ojKP/rJFDj9Ir7/2wXwsFAAAAAGAw2q3TiY0bebJe++CGXqFbktqC1Xr9wxs1YdRp+njxPVqy6j/9ViQAAAAAAIPVbgVvv69QNQ0rtnt7Tf1ymWZC78z/1V4XBgAAAABAKtit4B0M1Skzfdh2b89KL+2zNxwAAAAAgP3VbgXvtZte15FzfyKbzdnrNrvNpSPm/ljrNr/eb8UBAAAAADDY7dbiam9/+ktdcc5r+tpFn+rTz/+quobVkqS87PGaPflK2e0uPfP6NZYUCgAAAADAYLRbwbulrVz/eOoEnXTYHTpq7g0yDEOSZJqm1pe9qZffvV7NrVssKRQAAAAAgMFot4K3JDW1bNJ/XjhfHlemcrJGS5Lqm9YpFG7s79oAAAAAABj0djt4bxWKNKm8ekF/1gIAAAAAQMrZrcXVAAAAAADA7iF4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYKHBFbx/KMmUdGeyCwEAAAAAYNcMnuB9gKSrJC1KdiEAAAAAAOy6wRG80yQ9JOkrkhqSXAsAAAAAALthcATvuyU9L+m1ZBcCAAAAAMDucSS7gJ26QNIsSXOSXQgAAAAAALtvYAfvoZJ+L+l4SeEk1wIAAAAAwB4Y2MF7tqRCSfO7XOeQdLikayW5JSWSUBcAAAAAALtoYAfv1yRN6XHd/ZJWSLpdhG4AAAAAwIA3sIN3q6TPe1zXJqmuj+sBAAAAABiABseq5gAAAAAADFIDu8e7L0cluwAAAAAAAHYdPd4AAAAAAFiI4A0AAAAAgIUG31BzAEgB4fJwskvoUyKSULQ2KmeeUzbXwDs2O1BfNwAAgB0heAPAPpSXlyeP16Oyv5Qlu5RBy+P1KC8vL9llAAAA7DKCNwDsQ6WlpVq5YqVqa2uTXUqfli9frksuuUQPPvigJk6cmOxy+pSXl6fS0tJklwEAALDLCN4AsI+VlpYO+OA4ceJEzZo1K9llAAAApISBN4EPAAAAAIAUQvAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCjmQXkIqidZuTXUKfzFhEsaYqOTILZThcyS6nl4H6uvWH5TWJZJfQp2DM1IbGhEZk2eR1GMkup5eB+roBVlkbCSe7hD6FEwltiUZV4nTKbRt4x+wH6uvWHyobNyW7hD5FYxHVtVQqN71IzgG4TzFQXzcA+y+Cdz/Ky8uTx+tT3XO/SXYpg5bH61NeXl6yy+g3eXl58nk9uuSpYLJLGbR8Xk9KtQmgL3l5efJ5PPpBRUWySxm0fJ7U2lbk5eXJ6/Xpn6/fluxSBi1viu1TABjcCN79qLS0VCtXLFdtbW2yS+nT8uXLdckll+jBBx/UxIkTk11On/Ly8lRaWprsMvpNaWmplq9YSZvYC6nWJoC+lJaWavlKthV7I9W2FaWlpVrBPsVeSbU2AWBwI3j3s9LS0gG/kZ84caJmzZqV7DL2G7QJALuCbQV6ok0AQOoYeBO1AAAAAABIIQRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCAzp4/1A/1Mf6WM1qVpWq9JSe0jiNS3ZZAAAAAADssgEdvI/QEbpbd+tAHajjdJwccugVvSKffMkuDQAAAACAXeJIdgE7cpJO6nb5cl2uGtVotmbrHb2TpKoAAAAAANh1Azp495SpTElSveqTXAkAAACw71U3tya7hD5F43E1tAWVneaV025Pdjm9DNTXDfuPQRW8f6vf6h29o8/1ebJLAQAAAPaZvLw8eb0ePfzRwmSXMmh5vR7l5eUluwzspwZN8L5Ld2mapulQHZrsUgAAAIB9qrS0VCtWrFRtbW2yS+nT8uXLdckll+jBBx/UxIkTk11On/Ly8lRaWprsMrCfGhTB+w/6g07X6Tpch2uLtiS7HAAAAGCfKy0tHfDBceLEiZo1a1ayywAGnAEfvP+oP+osnaUjdaQ2aEOyywEAAAAAYLcM6OB9t+7WxbpYZ+gMtahFhSqUJDWpSSGFklwdAAAAAAA7N6DP4/01fU1ZytJbekuVXf67QBckuzQAAAAAAHbJgO7xNmQkuwQAAAAAAPbKgO7xBgAAAABgsCN4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIUeyC8D2BQIBrVixot+eb/ny5d3+318mTJggn8/Xr8+JvtEm0BNtAn2hXaAn2gR6ok0A+5YhyUx2EftCU1OTMjIykl3GblmwYIFmz56d7DJ2av78+Zo1a1ayy9gv0CbQE20CfaFdoCfaBHqiTVinublZmZmZyS4DAwzBewDr7yORwWBQGzZs0IgRI+T1evvteTkSue/QJtATbQJ9oV2gJ9oEeqJNWIfgjb4QvAEAAACgnxC80RcWVwMAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALORIdgH7SnNzc7JLAAAAAJDiyB3oiyHJTHYRAAAAAACkKoaaAwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieA96RrILAAAMQif405NdAgAA+w2C96BnSpJcxeMkmz3JtQAABoMzMzL13fx8fTU3N9mlYAAxOJgPAJYheKcAz6gDlHvyt2U43MkuBQPIUSPs+tocpzJpFvu3HvvRhp0da0hvt7Xq1dYWHZ7m1zWEb6g9dJsdB/PHFk9Xjr8wyRVhIClI98vloIMH2BsE7xQQ3rJcdl+mMg44PdmlYIA4a4JDj5/v05gcm3K8BK39lqGtg2KUe2Kuhl41VKNvHq2cY3PkHelNamlIHkNSfTyuv9TVaWEwSPiGJHWG7tPmXKGLj/ieSvPHy+1kOwFp8pBCfeXwOTp49HDZbUQHYE/x6Rl0eoQom0NmuE1NHzwq99BJsvtzklMWBoyDh9n19zO8+s7LIX335bDWN7bvTNHRuR/qCN2F5xYq/+R8BdYG1Phuo3KPzVX+Gfmyp9F7sT8y1f5N0pRI6C/1dfosGNQRhG9IOmn2F3XQhJP08Ft3aHnZJwpHg8kuCUk2qbhAXzhwpl5fsVaLyyoUTySSXRIwaBG8B532PWlnXmn7xURMkhSpWC1X0Ri5CsckqzAMENMKbXpzQ0wPLIrK75JOGevQY+d59dh5Xn31ACcz+PYXHW+0Z4RH6TPTtfH3G1X/Wr0CawJy5jnV/HGz4m3x5NaIfarrZ9+U5DQMNcbjureuVvODAcL3fi7dm60ppQfqyQ/+rNUVi+RyeFSaN06nzblC88YdL4fdmewSsY+5HHYdPGa43lixRh+s3aTmYFjpHrcOHj1cI3Kz5XPRJoDd4Uh2AdhV28aMekYdoLzTvqfg2k/U9vkbCm1YqPCWZWpb8poyD75A4YqVSgSaklsukibLY+jksQ6dPdGhq2e7FEuYaotICUlfne3Si6tj2thkJrtMWCD/tHyFK8Jq/rS5s7fbsBsy46aCa4PKmJOhkitKVPFQhRrfb5ThMpQ2Pk2BNQElgvRipLIusw50YVaWJrg9Guly6b9NTXq5pVl319bp2jxDh6f5ZUr6c11dEqtFMjjsTnlcaXLYnZpSeqBmjjpChVnD5HX7FY2FlebJ1OuLH0t2mdiHbIah7DSfVlXVyu1w6LhJY1Sam6WijHRF4nH9b9lqfbRuc7LLBAYNerwHAUf2EG3dZUqbdKTs3nTVPPULOTLylXXoxSq69LfyjJihaP0WxYPNcmQVtT/Q4O3dXzhs7T+S9Mt3I3p8WUy3HeNWWXNCt70b0fmPB3X9qyG57JLXSZ93KnLmO5U5N1NZh2bJP93feb3dZ5fdY1fmvEyVXF6iqser1PBGgyTJN9qnrIOy5MjgGGyq2xq6v5OXr6tyctUUj+vdtlbdUlSkb+fnK2AmdG9drRYEAzosLU3fy89Par2wVl+rlze0VmtNxWKdcsCXdOVxP1NLqEHPfvJ33fLIl9QSbFSaJyMJlSKZQtGYFm0u18lTx+v/Tj1auf40zd+4RTc8/T9tqmvUhKKCZJcIDCrsbQ1wzvwRKr7sd6p78fdy5pXKP+MkVf7jW4o1Van60Z/JmTtU6bNPV9Zhl8pMxOQumaBEsEV15Sslkx6s/cHxo+36yiyXivyGNjWZuu3dsL7wZFD5PkM1gW0921fOdCkYk2ra6O1ORdGaqMr+WqaiC4qUe3SuDBlqWdSi1iWtitRGNPTqoap4qEL1r9VLkgynodwTcmXGTEWqI0muHvvCLK9XJ6Sn65vlW7Q0FNJEt1vfysvXklBIUsec77o6XZdfID+np0xZXVcvP2DM0crw5SrTl6u3P/+v/v32bzUkZ5QkU+X16zsfY7PZFI2xndgflGRnqCDdL7/bpcVllXrl89VaVVWrNJdLyyuqO9tOWySihGnKZhhKmOxXALui6+gzDEC2tCz5px2vzIPOl+Ixlf/ta4q31ks2R+f8bklyDZkgZ3axMuadK5vTrdrn71S47PMkVo594dRxDj18tlf3fBrROxvj+u0JbkXi0vmPBbW8tv3Ay2njHDp6pF2XTnfpmAfatLCSAzIpx6b2uQSS3EPdKv5CscyIqfo36tWysEXeUV4N+eIQ2dPsqv5vtWw+m9Knp8uZ7dSan62R4uLbIAX1fEsP8aXpy7k5unzzZp2Ynq5biop0R3WNHmlqVJrNplEul5aEQkq32dTCAkop74x5V2nu2GO0vOxTFWQOU4YvR68vfkzvLHtWppmQx+lTlj9fZ867Stn+At3+xNVKcEA/pU0tKdKZsyarrjUg0zQ1LCdLj89fogUbt3TeJ9vn1dxRw3TomBG66/X3VdXcmsSKgcGFscgDVvswsERboxJtjTIcLsnmkGfEzPabE7H2+3QMJ4+Ur1Db52+o+vEblYgE5R42OUl1wyq2HiMDM93S9w926Za3w/rhq2G9vj4mj8PQGxvinaE7wy1NL7JpWqFdh99P6E5ZHW9r2sQ0hcvCqnq0SobLUM5ROfJP8Su4LqjN92xWcENQeafkKfOATEXro9tCt02E7hS09S11Gu0bD7/NpmKHU6dlZOjGwiLdUdMeuiVprtenK3NyVeRwdIZuJqWkrhkjD9Ps0Ufqnhd+pAff/LVemP9P5aQXqrGtVmZHuB5XMlOXHfUj2W0O3f7kV5UwEzKYwpayhmRl6OzZU/TS0pW6540P9M/358thtynL6+m8z4jcbJ02faJmDCvWn978kNAN7AGTn4H7Yzhcps2XaboKR5uZB11gDvv2o6Z/xkk7fEzGgeeZRV/8rWk4PUmvn5/++fnlsW7z9PGObtf5XTI//UqaWew3zCHphrnlu37zz6due8+PG2U3vQ6ZLrvMLE/y/wZ+rP3xDPeYk/8+2fQMa28D3pFec8QPRpjDvzvc9E/1d97PnmE3ZevyWNu+r5Wfffdzdmam+dSIEaYhmX6bzbxv6DBz6bjx5tU5uZ33cRmGedeQEvNXxcVJr5efffNz+OQzzCuO/akpyZw9+ijz11962jx00mnt7cHhMXP8haYkc3zJLNMwbKYk09bxf34G/8+Ygtxe100oyje/dMhsU5KZ5/eZ/3fK0eY5s6d03u6w20yH3WZOGlJgZvu8Sf8b+OFnMP5w6HIA808/QcVX3CWZpiJVa9W65FW1zH9G2UdeLv/0Ezrvl3HgeXIVbTuNmKtgpBKRgMwEpwpKFdkeQ+sbuvdWJ0wpzSVdMdOpt76UpmdWxnTtC+1zNYv9hr57kFvHjHIoEpcaQ8moGvtSaGNILYtblH96vgyXoeD6oCr/U9k+l/vYXKXPSJckxZvjnT3kkrr/GymnNhZTzJRmer1qTST0YnOzloRCOigtTYelpem0jAz9saREQ11O/aiiQhI93ammr4XU8jKGKJGIqzRvnC48/Dt6+uO/6t1lz0qSZo85WgeOP0F2m0MrtyyQ2dHTzTDz1DAiN1uXHTxbfrer2/X5GX5lej3K9Hp01RHztKKyWk/OXypJmlJSpDNmTJJpSsvKq9UQ4PzuwJ4geA9goU1LpERcBefdKJs3Q/HWOrV89oKa5z+jnGOvVvaxV6vgglvkn3qsIlXrJEmGwyVn/gg1vv2AFI8m+S9Af7n6uZCWVCd0/Gi7zp3kkNchBaLSQ0ui+v7Bbm1uSuia50OKdewXfW2OS0PSDS2s5OBLSuq5H92xDlbz/GY5c5ydq5SHNobaw7fDUP5p+fKO8e7bOpF0C4NBGZLOzsyUJD3Z3KR/NtSrIR7Tb4cM0fmZWWqOJ3Tuhg3MOkhRWxfDGlEwUZm+PEnSx6tf1cRhc/S9s+/Wo+/+oTN0O+xOTR9xiPzeLMW7rCNjErpTxoa6Bt32whtqDUeUk+bt/DpZVVmjWCKh7594hNZU1+mJjtAtScNzs5Tp9chpJzYAe4NP0IDR+4h0rKFc1Y/fJMPhUsH5N3eE73q1fPqM6l+7T67CUUq0Nan8b1+TzIRks8uMRVTx92sVqViVhL8BVujaMk4d59Qj53p14pj2YPXI0pheXhtTcbqhm4506+rZTv35VI++MdelS58KqqyZXeiU1PG2+sb5ZLiM9nnakpo+bJIjw6G8E/I67xraGFLVk1UKrg8quJZeiv1B19OVNCcS+k1NtY5M8+sQX5ok6aWWFn2nvFynrV+vKzZv0vcryhVT+/Eb4lXq6NrTPW7IDF1z0q2aO+5Y+T2ZKq9bq7c+/6+a2uqUl1GsDF+ORhZO0leOv1lZaXl6/L27klg5rBaIRJXuceuHJx+lYye1j5isbwuorKFJbeGIGgNB2W2GctJ8OmnqeM0dOUzPL16hUDS2k2cGsCOsYzvA+CYcpsCKd7pd58gqUv7ZP5EZi6r6sZ8pEWxuv6HryuaGTZw+LHWdO8mhE0Y79JVnQ/rb6R6dN8mpy58O6onlMY3LtemciQ5dMdOlmraEyppN3fRWWJ/X0B5SmX+aX0XnF8nmsqny8UqFy8MKl4WVdXCWso/MVvk/yhUuD/feyrPVT2lfzsnRDI9Xr7e16smmJklSps2mXxUP0ZJQSHfV1couFrLfnxwx+Uw5HW6dNPuLisWjem3Ro3pz6VNyOTyaN/54HTf9Qpky1RSoU3OgTn9+6SdKJOIyDBs93SlqVH6OApGoRuZl6/QZk/S/z1fr9RVr5XE6dNLU8Rqdn6ucNK+qm9vkctj14IefqbyxOdllA4Me37sDiD09VyVX3afQ5qWqfvSGbrc5C0aq8KLbFClfodoXfqdEW2NyisQ+NzbHpv9e6NVdH0f0p0/bpw/84wyPzpnk1Jf+2x6+Jclpk6IJyWWXIowwTzneUV4F17X3WOcck6NYU0zh8rCyj8yWb4xP9jS7Gt5uULQ+qoIzClT5aKVaFrSwld/PHOD16ovZORrucipmSn+uq9X7bQEdmpamW4uLder6daqM0Wu1vzhx1hd19LRz9eCbv1LCTGhK6TzNGn2k/rfwP3pr6X8ViYXkc6erKHu4mgP1qmuukClTNuZ0p6zR+bn60iGz9dini7W4rFIHjx6uM2dN1ktLV+r15WvlsNmU7nFreG62alpb1RwMqyUUTnbZQEpgl2xAMeQeOkl5p16naN0mVT92Y+ctNo9fBefdJFfxWLUtfU11L/w+eWVin5laYNP5k50qTjd09bMhOWxSuCNU33+GR+dMdOpLTwf14uqYguxLpyxXoUul3yxVcF1Q8WBcucfmavWPVitSFZEkuYe45RnuUcEZBQpuDCpzTqbCW8LacMcGxZpoGKlqe1/gaTab8ux2XZuXr+Eup5yGob/W1euq3Fx9FGjTr6urxQogqc/jStM3T71Dn655Xa8vfqzz+jPmfUVHTDlLL85/QB+v+p+aAnXdHmfI6JwXjtSS7nHr8HEjFYhE9MaKdZ3XHzS6VGfNmqKXlqzU6yvWJrFCILU5dn4XWKOvXSZT4bJlqn3218o744cqOO/GzvCdiIYVrd2oupf+qGjtpn1dLJLAbZduO8atw4Y7tLQ6rrgpxePberQvfzqkuCk9dp5XZz0S1DMrCVipKlofVe2LtSq6oEiG09DaG9cqUhWR4TRkRs32YeblYbWtaJNnqEdKSP7JfnmGe9S6uJVDrCmo61t6Ynq6hjtdSsjU/1patSEaUVsioe9XlGu6x6Mj/H79X2GhMmw2rQyHCN37iUQiLluX4eIOu1OxeFRPf3SfhuSM1OGTz1Q8EdcHK15QMNLW+ThCd2oqykzXpQfNks0w9OryNd1u+2DtJhkydNqMiXLYbXrl89VJqhJIbSyulhTbdpn8009Q9tFfVt7p18tVPE6SqfCW5ap9+pdy5g1X0WW/U+ahX1Dh+TfLkTtM0ZqN7XO5Dd66VBeOS197IaQXV8c0Ktumq2c7JbWHbmfH2//lZ0L686dRrahlSGAqM6OmYk0xmQlTscaYco7JkYz267tuxWMNMbUuaVXZvWUKrA5sW2SN/eiUs/Ut/W5evq7LL9A8n0+zvD49VFqqKR5P5/0WhUL6Q22tLt20UTdVVXaeMgypLxILqapxsw6eeIokKRaPymZrPwVCfUuVWkONOmbaeRpdPE1S36cdQ+qobGrR+tp65fh9Gp6bJbeje9/b+2s36sUlK3XImBHyuZxJqhJIbfSDJFHWEZcpbfLRCm1YKMNul3fMgap/9V4FVrwtMxqWPSNfuSd8XTJsSkSCqn3mV1KCJXFSnc/Zfqqwrf8vzTT0hxM9yvQY+uuCqB5a0t5fxVzuFNflY+7MccpMmDJshtImpSn3uFyFNoe05W9bum8Ktq6aJSl9erryz8jXxt9uVLyVhpKKLszK0lU5ufpm+RYtDYV0WkaGbisqVsg09bWyMn0cDMim3iuVd2kmSAFdh4Y7HW45bI7OHuxsf4GuPeVXagk26q7nvq+4GZdpJnTFsT/Vqwsf0THTz1dxzgjd+tiXk/knYB86Z/YUTSjK12vL1+qzTVsUjnXfGnidDgVZvRywBEPNkyRt6rFKm3SEap64WZGqtXKXTJRv4uHKOfZq2VwetS55VfHmmvah5nbntnNys3p5SjtpjEPXHOBUttdQbcDUr9+P6P3NcX3zpZD+eJJHV850KmGa+vfSGKE7lXUJ3QVnFihtYpoqH6lUcF1QzZ80y+a0KfvIbJVcXqItf98iSSq6sEgti1rUtrx9hzt9Vroc6Q6ZMQ7SpYquh1ztkka6XPp9bY2WhkI6Ii1NPy0o1B01NZri8eiukhJ9pWyzFoVCvZ6HTUfq6Bq6j59xkUYXT9PQ3FF6d/lzWrrxQ22uXa2H3rpDFx32Hd148YOqqF+vDF+uXA63NtWu0vqqZcrPHMK87hRVkp2hodmZisUTagqGOs/PfcGcaTpi/EiZMrVwU3m38E3oBqxD12ky2J3yTzteSsTUuuhlecfMVd6p16nu5bvlyhuu9APOUMPr9ymw8n0lQi3Jrhb7yCljHXrifK9+9X5EHoc0Ksum08c7dOl/g/rP0phGZhn6zfEejciy6bZ3w3psGV+Oqa7w3EJlHZqliocqFFgV6FwozXAZyjooS7nH5ioRTSjeFpdnqEcrr1vZ3r1pk4ovLlbje40Krufc3anm4qwsvdHaKr/NrqCZkNMwdE/JUD3QUK9/NzbqeH+6fjtkiCTp/I0btCzMisSp7tQ5l+vgCafoxfkPKBoP64SZl6i8fp1eX/y41lYukcvh0dHTzpPH5VU0FtGLC/6lRCKuLxzxPfk9mfrb/25WLMHs/1QytaRI58+ZpqrmVmV43LLbbVqwcYueX7xCknTBnGkqzcnSB+s26ZP1m3v1fAPof/R4J0M8qvDmpUqE22TPKFDWYV9U47sPKbD8bUXzhitj7lnKOeHrSoRaFVj5XrKrxT7gcUhfn+PS7z6K6IY32neSnTbpZ0e69cCZXq1rCOjjLXFd90pIPz/ao4+28AWZ6rwjvco8MFOb79mswKqADIchR6ZDnlKPQmUhNbzVfuqwjAMypIS08c6N7aHbkJSQKh5kLm+q6HqE/MKsLH0tN09LQyEt7ujNPs6frppYTM81t59ntykR12NNjVobjmgloTvlTRo2V7NGHam/vPxTbaheruEFE5STXihTCR0/82K9svBhra1YopcW/KvzMenebB0/82JNG3GI7nzm24TuFJOfnqazZ0/Ri0tW6oN1G5Xh8WjSkAKdPn2SEqapF5es1COfLNYXD5qp2cNL9OmGsmSXDOwXCN6W27bLZDg9kmHIjAQVrd0oSXIPnSyZpkIbFrXf3WZT08dPKt5co8CqD5JUM/Y1t10alW3o5bXbBqDEEtItb4U1rcCmrx3g1KLKuNY3mrr0qaDijFNJeTavTWa8fcVy7yivMg7IUMbMDDkyHQquD6rioQq1LmlV65LWLg9S7wm9GPS2ftynejya4HbrpqqqztAtSek2m2Z5vcq222VI+mJWtmriMT3Y2CCJOd2ppuec7pZgg95e9rQ2VC/XpGFzddnRP9JDb/5aNc1b9I1Tfq14Iiqvy6+lG9v3KTJ9eZox8lCNKpykPzz3PVU2bEzmnwMLZHk9CkSiWri5XKYpNQVD+mRDmWyGoSPGj9LnW6q0qb5R//rgM6V73AoxvBzYJwjeltoWujPmniPvqFmyefyKNdeq4c37FavfIpvLK2feMDmyiiSZyjrsizIjQTW982DHUzCnO5V5HFIoJjWFpfkVCZ081qH7F0bUHG5vOeG4VNVmqthvdJ6/m9CdgvqY9BPaGJIjw6ER3x8hV4FLTR82qeqJKkVqIhrxvRFyFboULu/Rm8mmIqV0PY5yqC9NPy4slNcw9GJLS7fbX2tt0Qlt6Xph5ChtjEYUM6Vvb9jS+TyE7tSyNXSfdeBX1Rys18er/qdPVr8qt9Oro6edq1cXPaKPV/9PklTVtFkjCiZpS926zuDdFKjVZ+vf1idrXlMgzHS2VBSOxZXl9agoI13rauslSbF4Qisra3XMxDFK97g779sSYlQMsK8QvC3V/uWYddgl8k87QY3v/EuRqrUqOP9m5Z54rWqeulXBdZ+qdenryj/7/xRvqlY81KrKf13X5SnYk05Vx4+26/DhDj2xLKrPKhN6eW1M1xzg1HcPcuuO98NqjWy7b13QlNMmRWkOqadL6PaO8crmaD8/WNuKNq3+0WplHpipcHlYgZUBJcIJyZAi1REZdk79k+q2ftzHud16P9Cm99vadEZmhk5MT9eiYFAhs73hNHWcs/tAX5rshvRyS4sSoqc7lQ3PH685Y4/Vfa/coJZg+8gGvydTmWl5ag60X/a6/CqrXaOXNj2oxevbp61t7S1vDtQnrXZYozgzXZJU3dKm+raAyhqaNHP4ELWEw6ppaV90sykYVHMwLIeNU9ICyUDwtpg9o0CeUQeo9oU7FVq/QJ7h02XYnWr7/E0lgu3z8epf+qPalr3ZPve7fNW283QTulPWWRMc+ueZXv32w0hnwH5gUVSjs206ZaxDR4+w6/UNcY3KMnTmBKcO+lsboTsVdQndhecUKnNepuKBuFyFLrUublXVU1Wqe6mu/a5OQ3a/XUOvGirDZqh5fnPy6oaljvOna57Pp59XV+kH+QWa7vXqkk0bdXt1lQxJM7xeXZCVpX83NirSEb6bEwm90rqt99ImQneqOnLq2XLYXHp3+bNaX7Ws83qnw61wNKjRxVNlt9k1feSh8jh9WrT+XUmSYdhksl+RkqaUFOrsWVP09qr1ag1H1BIK66P1m3XsxDGyGYYWl1WqpqVVB40ergyvWxvrG5JdMrBfInhbzOb2yebxK7R+gbyjDlDe6der4Y2/q3XRSzJcXqVNPFyti15WeNOSbQ8idKe0WcU23XOKR19/IaR/Ld62oE2aU/rZm2F9UBbXBZMdOm6UXRsbTR389zZ9XkN7SCXe0V4F1wY7Q3fOMTnKOjxLm363ScH1QeWdlKfC8wpV9786RRSRDCn7sGxlHZIlJaS1P1/b/ljOS5FyDEkOo30Rtckej0a7XPrCpk1KqL0H/Jc11fpJQaFOSs+QpM7w3bMpsMVITS6HR5OGzdGEoQdowZo3ut3W0Fqt1xY9omOmX6AR+ePVHGzQ75/bNoKO0J2axhfl66K5M/TMomVavLmi83RgCzZuUSQW1yFjhutLh8xWfWtATrtdf33nEzUGep9mEID1CN4Wi7fUKhFsVvYxV8k/9Vg1vPE3tS56WZLkyMhX2pRjFK0rU7js820P4ssxpQ3LsGl9Q0KPfh6Vyy6dO8mhy6a7lOcz9EFZXNe+ENJLa2Jy2aV4gjndqWbkj0YqHoxr0+83tV9hSp5Sj+pfrVdwfVAZczKUf2q+Kv5VocCa9tXMTdNU24o2ySbVv1bfnrBYSC0lmZJebGnROZkBHejz6fmWZq2OtM/BdEiKmqZ+Xl2l/yso1PHp6fLZbPprXZ1Yk3r/EImF9PBbv9Fpc67U9JGHakTBRG2oXi6bYVPCTOizdW9rdflimUqoLdQ+KmbrbUg9NsNoX5V8Y5k+WrdZDrtN+elpmjW8RE2BkJZsqdTSLZUqykyXw2ZTYyCo1nBk508MwBJM8ugvhq37vzsuJ6IhRarWyT/tOLUtf6szdMvuVNYRX1Ii1Kpw2bI+nhCpxtnRRAxDKsmw6adHuPXO5Wm6YLJTG5sS+vfSqE4d69Cxo+ySpEic0J1qco7OkSvPpU2/2ySZkiOj/dind7hXkeqIvCO9KrmiRJWPV6r+jXrJJuWdlCf/JL/C5WHVv1q/raeb/eiU9k5bq35fW6Nj/en6cUGBJCkmyWkYipqmflFdpS3RqEqcTkJ3ijK0bR2HTF+eCrNK5XJ41NhWq8fev0uryxfqmpNu1ZCcUUqYCdk69jtaQ42doduQQehOYYYheZwO2Q2bSrIzdPr0STpr5mQdMLxEc0cO1WnTJ8plt6uyqUVlDU2EbiDJ6PHeS46coYrVl3X2UmfMO1eu4rFypOeqddErCq6br6b3/y1HVqFcRWOVc/zXFW+rl6d0mmwevyr++W0xZjT1HTfKroOG2XX/Z1H9d0VM80qimpJv0wdlMd3/WVSLqhLK9Rq6eIpTAfaiU1YilFC0KSpXvktZh2fJsBmqeqxKzfObVXheoRyZDpXfX67G9xslSTa3TWkT0mTGze6nDWNTkVL62vr/s6F9DuaWaFQ/LyqWJN1aXa1ox5zusS6Xrq+oEEvspa6tq5efcsCXNGHobBVnj9DKLZ+psmGDnv3k73rorTt00eHf1TdPvUN/eO46ldev3+5zILUUZ6YrHIupvi2oxZsrdNqMSZo2rFirq2r08frNWri5QidMGafSnCxF4qz2AAwU9HjvhYy5Z2vIl++Ru2SCJCnz4AuVMe8cxRorFWusUsaB5yrn2KtlONyqe+F3Cqx4R66iMXLmj1Ckep0q/vEtKRHv6B3nyzFVnTXBoUfP88njMORztu8m/+i1sC5+MqhvvxTWoqr2gzbfnOdSmkva0EjvRKoKbWmfVzfs2mHKPzlfDW+3h6u2lW2K1kYVrggrsD4gSXJkOTTsq8Nk89hU+2Jt0mqGdb6bl69Jbnfnode+vNTSov+rrNDZmVn6WWGhhjmd+lPJUH0jL1+SdvhYDH4nzLxYh046Tc9/8g/94rErZZpxHTrpNJXkjlZrqEn/eed3WlO5WD889y/KyyhOdrnYByYPKdRXDp+rmaUl8rmc+nTjFv3pjQ9039sf6V8ffKZFmyskSW6HXdF4XE47u/rAQEE3696w2ZV32vflGTZZNU/dqrQpRyuw4l2FNi6SJHnHzFP6rFOUCDSr7pW7ZUaC6vWSs5BaSjtgiE0vfsGn614J64FF27qyM9xSS8e5ui+Z5tTcErsumuLQcf8KaGEl7SGVFH+xWLUv1Spa0/7+j/jBCPnG+NT6eauqHq3qPBd35rxMZR2aJd8Yn6K1UZkJU2bM1Lpb17UvT83WOqWMd7t1Q2GhbDL0s6pKrQqHt/sW2yQd6ffrl0XFqorFFDJNXbRxg2L7uGbsW2nuDF1+7E/0zrJntGj9uxpfMktXnXCzHn/vbn2w8kXZbHYlEnGle7N11NSz9ewn97OAWoqbUJSvSw+epacXLtPnW6r6HDpelJmumaVDdPDo4br7jQ9U2cS52oGBgqHmeyMRV+2zv1b+6T9QwXk3KREJqG3ZW503B9d8JMPuUM4JX5czZ6gilavVa7eKL8mUNiLLpsVVCf1rUVReh3T6eIcune6U32Xooy1xXf+/sLI9horSDB1+f0DLa2kPqcSeZpe72K1o/baDLpHqiFo+a1HWoVnKPy1fda/WKbg2qKaPmhRYF5C31CtHtkPRuqhaFrawkFqKWhkO667aWn0xO0c3Fxbphh2E74Sk11tbddL6dRrhcmlBMChTnKc71Ww9x/ZWsURUfm+WKhs2aurwg3TZ0T/WUx/8WR+sfFEOm1Nzxh6rLXVrtal2lZ75+G+SWEgtldlthmaPGKoP1m7qXEgt1+/TjGFDVNfaps0NTUokTJ0xY5LS3C7dQ+gGBhyC995KxFXzzK+Uc9zV8k8/Qc7sIQpvXtp5c2Dle8o6/DJ5hk/vCN7Yn6Q5DR001K7vHOTSuRMdqg2Yqmw1VRtI6KwJDv1rUVR//Dii+xeq83zeSA02n03xtrg2/GqDJCnr0Cy1rWhT+f3lkqRwVVhF5xUp95hc1ak9fEdrop09451YSC3lONS+UNoHgYAybHadnZWpGwuL9H+VFVofiWy357suHlddMCiJ83Snoq2he3zJLG2pWytTpgwZOvmAyzShZLb++9Ff9O7y5yRJ2f4CzRh1mNrCzdpUu6rzOQjdqcswDGX7vAqEI8pN8+nwcSNVmOFXXnqaQtGYVlRU67nFK/TikpVqCobUFOSUYcBAw8SP3WX08ZIlYqp/9V4Flr+jrCMvl2f4dG2ddWfz+NvvEuKo4/7C65DSXe3//ueiqP7wcURnjHdoQWVCN70V1pXPhPSr9yIKxSS/q72dELpTy5DLhij3mFzZ09pXqLe5bRpy2RANu3qY3CVuSVLrolZVPlIpT6lHucfkyjvS2/eTMbw85WwdIn5VTq5OzshQvt2haR6Pbi0q1ljXjud8b0W8Sj2GDA3JGaWvn3K7CrKGqS3UrJcWPKhpIw7RqvKFenfZs5Ikt9Orcw7+mhx2l5Zs/CDJVWNficUT+nDtRs0dOUzfPu5QpXvc+nh9mX7+3OtaWVmjIdmZkqRN9Y2EbmCAYtbgLkqbeqzalrzafmF787I75nx7R85S69LXFGuslKd0mhxZhaq4/5sMK98PnDLWoW/Nc2lIuqFNTabunR/RMytj8jrVbbXym49y65yJDh3zQECVrXwEU82Qy4fIP9Gvuv/VqfHDRsVb4nJkOjTqhlGK1kRV/q9yhbe0z+32T/Wr8LxCxRpiqvxPpcIV4SRXj33h4qwsfTe/QNduKdPmaFQH+Xw6JSNDXsOmn1RWaM0Oer6R2i4/9ifyudL1t1dvVjga1FFTz9GZB16lzzd9JEOG3E6PfO4M3f7kV5VIxGUYNuZ2p6jhudkqyc5QbppPn20qV1lDk/L8acrwurWupl6GIZmmdMaMSfJ73Hrk40WKJWgLwEBFj/cu8IyYqdyTvqnso7/cfoWZ2E7Pd/uc78CqD5Q+6xS5h05ScP2CbaG7r8cgZZw0xqFHzvXqnU0xXfbfoBw26a6TPTp4mL0zdF8yzak/nuTR1w5w6gtPBgndKar8/nI1zW9S7vG5yjooS45Mh2JNMa27eZ1chS4N+eKQbT3fS1pV/d9qxdviClcSuvcHdkkzvF4929ykDwMBbYlG9XhTk/5RXy+XYeimoiKNcLoI3SnO6DGuwWZrHyGzcN3bSvNkqDBzqEwzodcXP6Y/Pvs91bdUqq6lQos2vKfbn7haiURcNkJ3yppSUqTLD5mtCUX5yk9P09ePPkjHTx6rxmBQ62rqJUn5fr9OnDJeB4wYqteWryF0AwMcSXAXRCpXq/7lu5U26UhlH3NV+5U7CN91L/9RwbWfyrDZ1frZ89vuy5djSjLUPrz8a3Oc+uV7Yd3ydkQr6xIal2vTUytiem/ztpmYOV5Do7NtOvwfrF6esjr2paseaT8/d+5xucqcl9kZvtfeuHZb+B7SHr5bFrSo7C9lnBtqPxGXFEgkNNzpkrPL9W+1temdtjZN93h179ChGu50bu8pkAK2zukeWThJHqdPiUT7d8Vn696WZOq4mRd13nd1xSI99t5deuy9u/TmkieVMBMyWEgtZRVm+HXGjIl6fvEK/f3dT3X/e5/KbrPJNE3F4u3veXFmuk6eNl5TSgpZSA0YJFhcbWcMmxKhVrUu/p/MRFzZR12pRLhVTe8+vP1AHY+p5smft4//2Yovx5RlSgrH20P10ytiKvIb+vQraXpudUzffLF9ntXJYx1aUhXXHz6K6P7PImphTnfq2hqeTanyP5WSpNzjciVJTR81dYbv0TeM1rCvD9PGOzcqWhvt/nikjO0NF18RDusAr08Hp6Xp/UBA0Y7vi/WRiN5pa9PCYFCbo9E+HolUMmHobJ178LWyGTY99eGfVdW4WdVNZfrvh3/ReYd+U5OGzdWyzR/3+Vh6ulOX2+FQfVtQn2woU356mq4+Yp4+Xr9Z/1u2RpKU6fWooqlFb65Yp4ZAkDndwCBBj/fOdHyx+WecJHfxeMlMKPPgC5V15OXbbu+r59tMiO6r1OfpcujK5zR01WyX3v6ST8+uiunaF9q/CHO9hr4806kjR7TfmdCdWgxXH5/xLh/9yv9U9t3z/fO1ilRFFK0jXKWqrqH7aL9fJ/jTdXhamiTpP42NKotGdX1BgY73p6vI4VC6zaZj/H59Hgrp3vo6JcSXdKrpObx8dfki3f/az7Wq/DOdfdA1uviI7+nwyWeoKVCn1mCjhuWNSVKlSKZcv08ZXreyfB59+bC5WlFRoyc+XSJJGluQq+Mnj1Wa26UNdQ2EbmAQYe2WXZB5yMVKn32q6l++WzIMeYZNlW/SEWpb8qoaXv9r+50YSr7fOXaUXedOcurujyNaUp3QxVMd+t0JHq1vNDXvr22d97vlKLfOneTQiQ8GtLGJj1sqKflyiVx5Lm38/UYlgn18/rtsYYsuLFLGrAzVvlKr5k+bFWuM9Xk/pJ7v5efrvMwsVcdiKnW59FBDg35VUy1JunPIEI10uVTocKo21t4mztywnlOFpaCu5+kuzRsnt8unSCykjdUrJEljh8zQiIIJOnHWJVqy4X0NL5ig3Ixi3fTvS1XXUpHM0rEPFGemy+dyaW1NnTxOh648dI5Kc7O0YOMWPfLJ4s77nTx1vIbmZOnBDxYoEOHALTCYMNR8Jwx3mjylU9X07sMKrHxPkhTauFjR+i3KOvyLMqMhNb7zYEfoZu95f3HWBIceOMurO96PKK2jx/PNDXH9fWFUl89w6m+ne1TWbKo009CZE5w66p9thO4UVP9GvYZ/c7hKrijRlvu3KBHoEb57DDs3E6aKzi9SrCmm5k+au98PKanA4dABXp8u3bxJLfG4pnm9+kVRsXw2QzdWVek75eWa5vGotGMxtRdbmjt7ujmUm1q2hu7T516pKcMPksvhUWuoSeFoQH987vtaXb5Qq8sXav6aN3TwxJOVnV4o0zRV31qV5MphtaklRTp9xiQt2LRFDYGAGgMhLd5SKY/TIcMw5HM5le3zavqwYh04erjuef19QjcwCJEUd8JwuFV85d0KrHxPjW/e33m9zZOuvDN+IM/waWpd+LLqX7k7iVViXxqdbeh/X0zTbz8M666Pu3/xFfkNHT7crm/Nc6k1Im1sSujODyJaXssudMrpSEae4R4N/+5wBVYEVP5AueJtffRVdtnS5hyTo/rX69ny7geuysnVeLdbrYmEbqmq7Dx/99F+v35dPERPNzfp5qreoYrQnbqOnnqujp95sf780v9pU81KHTfjIp0y50v647Pf0+qKRZ294jbDJofdpWgsLFMmpwxLYaPyc3TFoXP07KJl+mxjuSLx9u8Qp92mg0YP16zhJSrK8Ku2NaB4IqFHPlms8sbmnTwrgIGIHu9ueh+HMGNhBVa9L1f+cDkLRipavV6SlAi1KFK1VoZhyJ6W1edjkZqGZdoUiZt6esW2ocI2Q0qYUmWrqUc/j+nRz2PdrkeKMdSZjAyHobqX61R4bqESkYQq/l2xw57v+tfqtz0HbSNlGZIipqmj/X6tDIfVZWKBXm9t1fcrynV7cbHSbDb9oKL7MGLiVWoyZGhI7kg9/dF92lC9XFOHH6Rjp5+v/7x9p1ZXLJLT7lI03r4ISMJMKBILdT6O0J26Jg8p1JKyCn20bnPndXaboWg8oXdXb9B7azZqdH6O6toCCkVjaguzUAwwWLFuS6dte8HO/BFyFY2ROs6pGVr7qewZ+UqfcbJcRWPb7+3yypk9RG3L31bNU78QC6ntP+yGlO42lOnZ9n5vDdfHjrJrWqGt1/VIMR3va+F5hRp2zTDZ0+xqWdyijDkZKrm8RDZfXwsu7uQyUoop6dHGRv28ukoTPR5dnZPb7fbXW1v108pK5dsdfHPsJwybTcXZI5QwE5o49ABddvSP9fTHf9X7K16QYdh02OQzNHPUEb0eZ7KxSGlZPo/cju79YPGOnYf89DTFEwmtqqpVXWuA0A0McvR4d2rfyGUdcZn8U4+TTFOJSEC1z/1GoU2L1fjWA8o85CLlDp2oRCQom8MlGTa1Lv5fr+dA6plZZFPClJZUJ7S+MSGPw9DFU5266c2wwl1GFp8x3qlw3NQPXw0rRgdFSvOO8irnyBxtumuT2pa3SYaUNj5Nw64dppLLtzPnGymp6+AFv639oEtrIqGAmdBzzc1yGYZ+XFCohEzdV1/f+biXWlr0UktLr+fA4Nd1IbWu1lct09xxx2lY3lj998N79e7y5yRJfk+mxg2Zoc83fbSvS0US+FzOzjnabeGohudmyWW3dw4zlySP06F5o4Zp0eYKbaxrTFKlAPoTwbvL7o5n5Cz5xh2i2ud+IzMaUsbcs1Vw3o2qfeZXCq75SLHGSjnzR8gzbLJiLbVq/vDx7Z/LGynjrAkO/ekUj/6yIKqaQETrGkx99+WQ/n6GRw6b9NTymBpDpq6Y6dTFU506+G9thO79gM1lUyKSULg83H6FKbWtaNOWv25R6TdKFWuJqfrJasVbWZ86lXUNzFfk5OioNL88NpvKo1F9v6JcYdPU442NMiT9sKBQCUl/6xK+tyJ0pw6H3alYvD1UFWQOVcKMqyXYqHA0qE9Wv6pvnHqHKhs3aVX5QklShi9HFx9+nXzu9M4gjtQ1sbhAR00YrdeWr9HKyhr9b9lqfff4w3TB3Gl69JMlisRiMiUdNWG0JhQV6M2V65JdMoB+wkH2Dv5px8lwemQ4XGr+6InO69sXUJuh2qd/qdDGRb0fSOhOaYcPt+vZi3z61kshPb0iqoYup8s8b5JDvz7OI5ddag6bSpjSxU8GtbCS9rA/cOY4Nfa2sSp/oFyN7zVuuz7PqVE/HiVHlkO1L9Sq6nFWJN4ffCsvT2dlZuovdXXaHI3q1qJirQiHdXNVpTZHo3JIOjcrSz8pKNSPKiv0bDOLI6Wasw68Wi8teFDBSPvpJE+fe6XmjTteCdOUzTD03Kf/1AcrXtCooin68nE3qrGtRm6nV22hZtltdv3m6W8qkYizkFoKmzSkQJccOEv/W7ZaKytrOhdJG5Wfoy8cOFOBcERt4YjCsbhG5mXrz299xEJqQAoheEuSzaHiS38jZ8HIPlcozzvjB/IMm6K6F36v4Lr54iXbf/ziaLfG5th0/uPBzuu6LphW7DdUkGbIaZc2NJqqDdA2Uk6XraTNY1MitG2HuPiSYnlHelXzfI1aFrQPGban2VV4fqEa3mxQcEOQzcV+4CCfT9cXFOjnVVWaHwzqsLQ0/aZ4iMKmqZpYTN8s36KyaFROSUf60/V6awvn6U4xRVnD9dWTfq5AuFV3PvNtleaP05XH/kwPv3WHgtE2TR42T4dNOk2vLX5cLy34l4qyh2tIzkjlZQxRZcNGLdn4gUwzIZthU4LQnZJ8Lqe+cvhcLd1SpdeWr+l1u8fp0OHjRsrncikQiWjBxnLVtrYloVIAViF4d7C505R7ynflKhqt6sduUrRmfbfbCy74uRSPqfrxG5NTIPY5Q9LzF/vUEjF1QZfgvdXwTENlzabifIL2C3mn5CltXJpsHptqXqhR2+dtcuW7lH9GvrwjvGr6pEmRqoiyDsqSzW3Tup93DA/k3FApb57Pp/Futx5oaNAhvjT9qrhYv6+t1XuBNj1aOlzLwmH9oqpKG6LbFkayS4TvFGLI0KjiKTpz3lVy2Jz6ZM1rMiS9tvixzvscPfVcnTr3Cv31lRu1bPPHvZ+Dnu6UluXz6GtHHaT/fLRI62rru+2AszMO7B/2w1XNe6wfa7S/BIlwm2qfu0Oxxkrln/UjOfNKu92t+pGfqPrxm/ZVkRgATElvboxpeqFNUwu6f1SK/Ia+Mc+l8Xn74Udof9FlU5FzbI7yT85XYE1AZsLUkEuGKPeEXEVqI6p6vEoN7zQo+5Bs5RydIzNhat1tXebksR+d8j4KBPRyS4tchqErc3L078ZGPdrUqJZ4XFtiUR3k8+mrud1XNSd0pxZTptZVLNXTH92nUDSgMw+8Sn5vtiTJYXNKkl5f8riWbvxAx0w/X1J7WO/2HITulBaNJ2QzDBVlpUvqOBdORxMYnputCUX5ySsOwD6xn6WGbccU/TNPVs6J31DBuTfIO2auZLPLjARV/fhNirfWK/+sn8iZO6zH4zllWKpz9PhEzC+PqzEkfXOeq/M0YU6bdPVsl86e4FRzmGPUKavjrXUPccs9xK3Nf9qsmmdrtOH2DWr6qElZh2Qp78Q8xQNx1T5fq1U/XKUNv9qgjb/Z2J6q9rOt6/6uKhZThs2mIqdTi0PtI2RipqnV4YhO27BeP66s2MkzYLAzZWptxRK9MP8Brav8XLNHHymvy69YIipbx0H+upZKxTrO1c1pwvYv8URCm+obNXlIoUbmtR+UMTuawPRhxTp07Ai57PYkVgjAavvl6Jaswy9T2pSjFVz9gcx4TOmzT1PDm/erbenrSgSbZbi8KjjnBrkKR6vi/m8o1sTiSPuDY0fZdeVMl3xOqazZ1NdfaF9J7dLpTl0+w6nhmTatqU/IZkgzi+065oE2FlJLcekz01VyRYkSkYS23LdFbSu2zbcrPKdQ6bPS1fRBkxrea1CsIbbtgfvllhWGpGdGjFR1LKYnmhp1bmaWvDabLt60UaaYdZCK+jptmCFDo4qm6NxDvi6n3aXfP3udQtGA4vGovnHqHfr/9u47Oo7q/P/4e2b7rna1klbdlmRc5W7j3rBNsDFgY4LBoQeIaYGQb6gpv4QkhNASCB0SQjMtxARiMDbNvWHce2+SVXZVt9f5/bG2LNEhSLJXz+ucPYednVldo9HMfGbufW5joJbnPrq7nVos2kp+up0cexoAe901+MIROmemc8GQ/nhDYfZUe6hu9NMrP5uBnQt4fOFKKhu87dxqIURr6nCXh7be43GOuwz3W38mUrkHY0Ev8i69HxIJGla9gXft3KPh20rGaVdQ++HTUrW8Azi3p54Xplt4eXOUPbUJbh9tZE15nGveCVHp0xhSoDIgV8fYIh07ahLM2RZjd63sFx1BwRUFOMc4cc91U/N+TYviajk/zCFzQiaVr1W2qGwuUstn5+n2JT7/t39snVKTiXvzC4hpGnXxONeVHSZGBzzZprCpw66mwe9hyda3gS+fs7trXj8uGH0jTls2Nd4Kymr20iW3N/fOuZZEQgYbpLK+hXmcO7A34ViMSCxOmsnI35d+gtvrp8DpYHS3ErrlZBFLJPCFwry1fisVErqFSHkd61pA1WPrMx5FZ8C34T0sXYfhmnoLNfMfQ7XYyTx9FvVLZ+Pb/BGJQP3x7WTKsJRW6lKZc6GFx9ZEeGJNlFybwqfX2Mi2KmyoTHDe6wEqfB3nz6TD+oqjYeHVhVi7W3G/66bxk0YS4ePHg4zxGdQtrutIR9IOpcU83RmZ2FSVd72N7ItEvnQbHZCh0+GJx5veS8xKDU6bi5ljf47VmMaKHe+xetcC4CvCd34/Jg28mNLOQ3jgzRso8+xBQ5Pq5Smsa3YmV4w6lXc372D1vsN0cWVw/YSR+MMR/rH0E8rrGtGpKgpgMuiJxuJE4nKEEKIj6FijEBMxQgc3Edy7Bl1aFuljLqZ++asEdiwltH89WiyC87QrsHYf3nI7OTmmNJdV4d/bYzyxJkqBXWH5VTbm7oox+Bk/XTIUnjjbTIlTxvantGbpytrTimOoA0tXC7q05Hi78mfLCe4Lkn1WNo5hDlTT8UNn3aI6Kf+Qwo5FqVuys7kyM5MD0QgNn7lI/uyvPg5NoVtBQncqqfd7eGvV03i8FYzoOYmRPacAyfHany2WBrCvYguLNs9hxfZ3KavZ27SehO7UZNCp9MrPYcnu/azedxiHxcTFwwey7mA5ZXUNXDNuOHmONOKJBLFEAn84IqFbiA6kYz3xbsaQcwquc35BzbsPEanaiz6jgLS+pxOu2kNw92oJ2x2IAvTJUdlSneDV8y3EEhpXvh1CVeCDy6yMKdLx4b44U14ONM3fLVJT7oxcnKOdxH1x9A49DZ82UL+inuDeZLGswlmFWEos1C6spW5xHVpUdoiO4By7g1tzspl1uIzdkTAAFkUhQ6fnSCwKdOCTaQfS/Cl1n6LhjOw1BZejgA/Wv8ravQuBL3/yfYxMGZb6TnFlEkskqGr0ce1pwymvb2DO2i30yHXxk3HD0DSNhz9YJl3LheiA9O3dgPaiGswYsjpjzO0Kqo70UT8CoH7pS8kVpHt5h6EBW6oTmPXQ2aHw7PoYsaO/+s3VCX7zcZjDjQkJ3SnONcWFc5STw08cJrA7QO75uWRNykJn01Gj1BDcE6T87+UU/bwIazcrtR/WtneTRRtx6fXsCIXZHQlTbDAwLi2NS5wZeBMJNoeC/KGqSkJ3B3AsdE8b9hPyM0uwmuxkOwo4c/Cl6HVGVu9a0PRE+8vCt4Tu1LfPkzw3lLgySGgai3Ymp5cMRqJsKa8kGIkS+4I6EUKI1Ndhg3e4fBsNK/9F5pk3EquvIhHyUjn7tuMryMmxw4nGIdOiMLWHns3VcWb2MTCth54/Lg5T5ZfL6lSmT9djKbFQNaeKwO4A9kF2Mk/PpH5lPWl901D0Cp73PAT3Bjn08CHpVp7CCvR6KmMxEsClzgxm19cR0zRKjEbuzstjgNnCjnCYtxsbCGsaM9KddDEa2f8VY75F6hjeYxJje0/l8Xl3Ull/iCx7HmedegVjep9DQouzZveHXxu+RceQbjFTlOUkHE3OeNGnMBdNg/+s2yrBW4gOKrV6x6k6OFopVDGY0aKhr93EkNMFgGj1AUCTJ90pzmYAf/Tzy4/9IYzspGPOhRZCMVAUOO/1gEwZ1hHowNrNSrgsjMFloOimIjzzPdR+WEv2tGxcZ7oI7A5QNaeK0KGjx5XUOnoK4FSLhbty87ivupoxNhuXZmQwcd9eqmMxbspyUWQ0sirgZ3UgQFk0Sh+Tmd/n5fHzI+WURb/gwCJSzrnDZ1Gc3YtH3rmlaVlB5inMHPMz0ixO5n36QlO3c9GxmQ16rhozlM4Z6Ryuq6fQmc5jH6+QLuZCdGAp8cTb1Lkfkao9aJHkOEzH8BmYOvVG0RtpXD2H8JGdaJHAF24brd5//I2E7pQ2qauOyV31vLUjxtJDLYuZHMtPK8vi9HjMR4lTpdKn4QlIsuoQ4hDcG0SLaWROzCR0OJSsVA5oUY3QoRARd4TQ4WY382TXSDlrg0HKo1Huyc/HrCjMPHiQ6ljyadWjNR4MwLF4bVYUbnC5qI3HKJfQnfKOPcH2BusxGsykmdPxhRoAOFK7j4Wb53DZhDs4e+iPicTCbD64op1bLNpbKBrj1dUbGNA5H52q8sanm3F7/e3dLCFEOzrpq5rbh04ne/qdWLuPACBt0Nmkj5hBpHI3isFE5hnXYx94JqrZ/vVfJqE7ZU3vpeetmVbcAY3a4FcnJl8kOeZbQnfHosWSv2/VrKKz6DA4DUDySXjt4loqZldI9fIU1fxXuszvRwHc8RguvQ6TcvzTKGBVFC7LyODhgkLy9HpuKCuT3SIFfbZC+bFu42U1eyjI7MLQ7j9AVXVNn8fiUfZUbGb5tnfYcnBlm7ZVtL3irAyGn9KZkV2LvnK9ukCQRTv38dH2PRK6hRAn/xNv75q3MOV1xzFiBmgaxuwS3G/fS+jABhqWv0rGxJ9g6zsRUPBtep9ESLr4dDTdMlXu+4GJ/1sQ4um18mRKfLXg/iDpQ9Pp/NPOKEYFNGhY3XB8Bbkfk3KaTxk2yGLh0kMHuTU7h5td2Vhqa/jI5yOqJdcKaBqaBuXRKD8tLyOOzNOdio4F7eE9JpNuzSQcC7F8+zvsKl/Pu2ue47yR12EyWNhVvp5aXzVjek/lSO1+Ptr0BiDVy1NZn4JcLh05iMoGL7kOO4OLCvnXp5skWAshvtbJPUpRZ4B4Mki5pt6GMa8bKCo17z5EuHxb02oZE3+CuWQg/i0f49v8IYlgY3u1WLSymX30bK5OsM19/IJnRCcdL//QwjmvBNjukQuhDunLjnRfstxxqgNjjhHFoOB+xw2Jr/gOkRIGWyz8PjePu6oqWRsMogceKexEnl7PkzU1fOzzEgduyMriiZqapu1UkruHSA3Ni6JNH3ENI3qcSY23AqvJTigS4K//vZloLMy4Pudy+oALMehMRGIhQtEA9795PYmE3IJJZUadjh8NG8C2I1VsKq/EajRw1ZihaJrGK6s3UNXoa+8mCiFOYClxKalz5BBvrCbzzJtI6/cD6pfOxrv2v2jRcNM6zvFXktb3dOo+/gf+bYvar7Gi1QwpUPnrJDMXvxmkrPH4bn1uTz1Pn2Nm4NN+Kn0aepWm6cKGFeow6fjcmG+RQpod5RxDHBizk4G64ZMGIpWRL133Gy0XKeGMNDunp6VRG49zv7sag6IQ1TR0HA/fKwN+uhtNDLJYGLFnt4TtFGczOTh/9E/5cMNruBvK6eTqxoVjfoZRb+beOdcSjYXJdRZhMliwGtPYeWQ9mpZoMde3SC1ds7M4o093wtEY727aQbU3GbLNBj03TBiJpmm8vGpD03IhhPisk3KMt6XbcDIn3QBAxumzyJryMwBq5z9KYPtS0vpOxNpjFIre1LRN/aLnaFjxGv7tS9qlzaL1fXokwbTXApQ1avTNUemXk9y9P94fI67Bg2eYgeOhG+BHffWc0VWP4aT8SxDfyNHAnDszl7wL87D1smHubKb7Pd2xD7B/4bpf9h0i9bh0Os5PT+e0tDSy9cnRV1FNw6AoxIGbysvYFApSbDAS1jRGHQ3dMqY7dY0uPZs7zn8Ku9lJQ6CGaDzC/qptvLz4L0RiIe48/2kMehNV9Yc45N7JjvK1aFoCRUJ3SvOGwmTZrJTm52AyJMf3KySLqD2xcCUaMGvcULLttnZtpxDixHXSxQ1Fb0Rnc2LrPZ68y/5CWr8fUPvhU02fe955kEj1fhwjLsDas2X49q57J1lATTnp/tniG6oPQX6awovTLdw5xkT/XBVvBG6eH+LsHnpen2GhR5bK0AKVe043ceVAI69ujhKVa6WU5hjqwDnCyaEnDnHwoYPUL68HQDFJfOroPPE4j3o8rPT7GWG1MtXhAI6Gb5LdyH9fVcXtFUf42ZFyYiTHdMu9mNSkoOALNeAN1lGQ2YVQsxlRyjy7eXnxXwhHA9x9yWvo1JZlcmRMd2qr9vp4ZslqGoJBzurXC5vJ2HQcCEVjPLVoFfWBEHGZo1sI8SVOmg6UmWfeROPqOcTqjoCqJ+eC32EuHkBg2xI87zyYXKn5mO9pt2PI6ox3/Tx8mz+AeKwdWy/a2tWDDPxksIFt7gQPrIiww5PgjFN0PHWOBZMOwnHwRTSueCso83R3AFmTsjDmGal4sQLHEAeFVxdS+VoldYvrUM0qikEh7pXhBqmu+QnPoarENI3A0aJpvUwmrs3KwqXT83J9HfO9yUKcUjit49HrDPQoGMSFY35Gna+Kv829pcXnxTm9GNt7Ki8v/ouE7RSXYbVgMRrwhcOEozHCsTi5jjSuGTecykYvr6zegD8c+fovEkIITpLgrVoc5M78I6o1napX7iRWX4lj5IUoOgP2gWfi37GcuqNPvRW9CS2WHNudPeN3aOEAnrkPtGfzRRsxqLR4cv3jgQZuHGpkY1WcB1dE2O5JYNLB4Hwd3ohGlU/DLVOGdQi55+dizDVSv6qeTrM6UfWvKmoX1gLgHOvE3NlM1RtVaFHZHzqCazKzOC3NhllRqY/H+XN1FXsiEXqZTFyTmUWWXs/LdXW875NZMFJZ80JqWfY8ovEImqbhDdah1xnoWTiY80ZcS73fw2Pv3v7F3yHVy1NW38I8zh1YigaYDQZ2VbpZufcge921TeH7SH0jr6/ZiE/CtxDiGzgpgjeAzp5N1pSbMLiKqXr5dmINVSgGE7be43GOvQz/jmVN4RvA4Coi6jnESfRPFP+DyV11XDfESG1QY11FnMfXJHs+NA/fj6yOsLFKLpBS2pf8udsH28mZnoMp10TVv6uo+SBZlVo1q3S6rhORqgiVr1a2bVtFu7gxy8VFTiePeDwYVYXxtjR6m83cUXGEJX4//cxmLs/IpJfJxN3VVawOBL7+S8VJp3noPnPwpQzoMgaj3kwkGuKNFY+xr3JLU/iePuJa6n1uHp93Rzu3WrSm5qePkqwMZo0bxrzNO9lZWU1RZgb9O+eRZjIxb9MO9nlqybGn8fMzxrCjspqXVqyTK00hxNc6aQY7x71uat57lGjNYXIvuR+9Mw8tGiawYxn1S1/C1ms0mZNvRDWnkXPB70kffdHRLTWkDE5qG1esY+5FVtwBjeJ0lWtONfL3qclCas9viPLYmgi9s1V+NdZEqeuk2eXFd3GsevmpDtJHppPWNw0A73ovoYMh4v44qGDMMWLpYqHzDZ0xZBiofF1Cd0eQpdMxMS2Ne93VvN5Qz0t1dVxddpiFPh/35Rfg0unYHAoxu66WBV4vayR0p6xjofvsIT9mXJ/pzPv0RV5ceC++UAM/PeteSjsPJRaPsrNsHf9Z+RRF2T04f9RP27nVojV0z8kCWt6z7ZabxT53Lcv3HMDjC7DuUDmLd+4jGI0ytEsndKpKtdfHX99fyrxNOyR0CyG+kZMqhSTD9yNEaw6Re/F96J15JMJ+AjuWUbfwn1h7jiLv8odQrel45j7YbEs5JKaqbpkqp2So3PJ+mGvmhrjgjQCPr4kwrljHs9OOh+8XNkbJtirUhWRfSHU55+dQOKsQ1xQXxb8oJveCXNCg/J/l+Lb4cI500v3e7uRfmo+iU9j7h71ImeqOwaQo5Oj1VMeSNT8MR5f/qrKCimiUyzMyAdgYCvFYjYcEJ9lJUnwrXXJ707NwMP/88A9sPrgCu9lJcU5PjtTu59rJf6S00xBiiSi7jqznqfm/5s2VT7Z3k8X3rFdeNmf3LyXNZGyxXNPAbjFh0uualu331LGlvJI+BbmYDcnCeh6fH49PbtAJIb457cR8KS3fK2rTf+sc2VrOzD9qhTe8oOmdecnlqk7TpWVq5i6Dj6/bbBt5pd7rlAxF23idTTvyizTt0v6GpuUOE9qswQZt14027Zmp5hbL27vN8mrdl86u00puK9HMJWZN59BpjqEOrfffe2v5l+U3raNP12u2XjbNkG3QUI5uq7Z/2+XVNq/Xi4q1+/OP7w+6o69nOnXSbs/Oaff2yavtXrnOztrkQZdogNar8FTtnsve0Mb0nqqlmZ3aHec/pT1w5X+1/iWjW2yjyHVFSr0cFpNmN5s0QMu0WZqWDy4u1O6a9gOte66rxfqdMtK12888rcW68pKXvOT1TV8n6M384yNt0gacSdaUm3FNux1rrzEAxBvd1Mx7JNnt/OL70KfnQiJO3FdLaP86mqYMk4InKS0YhXd2xVAUGFN0/K50Yxhe2xLlvuURzuul59Ep5qblIsU0e0qtT9ejT9cTKg8RqYgQb4zTuKaRw08cJmNcBvmX5IMKsYYY/h1+ou5o8jCjkHziLVJG884L6apKunr8VPdafT1djCZudrmAZMXyOGBVVXwJqV/ekVTVH2bJ1rcBGNlrCp/u+Zhl2+biC9XjbijHH2pkYv8ZLbaRQmqppTEYxhsK40qzMmvcMCb36QHAuoPl7PfUcdGwAfTIdWE1JvvHDCoqIKFpBCPR9my2EOIkpf/6VdpDMnQ7T7sCW58JBPd+SryxGte026lLy8S79p1kt/N5fyNryk0UXPMM5U9eSdxX2+wr5OSY6ip8Go9+EiEc17hyoJG7xpu4a1EyXXsj8Ma25Pzcyw/JVHIpK3moIHdGLvYBdnRpOrSYRt2SOsJlR/eF9V4OP3GYztd1RjWrlD9f3nJ+KK3tmy1a17Ff6c9cLkZZbXQ2GPjA52Whz8d/GhvI0es5x+FgpNXGplCQPmYzdlXH0zU17dpu8f3TqXriiViLYmrNBSM+zEYbhVmnsK9yCwBGvRlFUZm96H72VGxq6yaLdhCNJ9h6pJq+hbkktAQfbNvDCyvWcvnIwfxo2ADCsTiNwRB56XaeXryaYFSuK4QQ394JGrzB1ns8tl5jcf/nHiIVuzCXDMIxdDoZE3+CarbTsPxV4l43tQsexz5kGnF/fXs3WbSBoQUq/XJ1ZFoU3t0VY7snwaOrk9N4XNQ3eUf6WPhuDMOLG+WudEpqVn42fXg66cPT8bznQTWp5PwwB9cUF1VvVBGrT14cedd7KXu2jKyJWfJ0O4U1r0p8iTODGelOHvW4sak6Rlit/MyVnQzYtTWsDwaZ4UzHqdOxJRTi/upq4iTHdMsukhpmjPop/UpGcffrVxKNR740fIcifvZVbuXsoVdiNlrpXTQcvapn79Eg/mXbidTREAyxfPcBYvE4g4oKSWjw0fY9vLhyHX0L83CYTaDA62s2UusPtndzhRAnqRNzri1VT1r/MwDwbXgPyylDcE29lbqFz4KiI3PyDdQveo7GNW+3fLIt3ctT2vmlev4xzcKe2gR2IxSlq/xmYZinPo1g1ivcOMzA+aUG3t8b47YPpF95R2DrZcM+wE64IkzdkrqmZcW3FtOwsoGqOcfDdwsn5pFPfE96mUxMdTjYGgoxz5uci7vEYGSm08lgi4W7q6vYHAp9bjsdLTtDiJNbUXZPLht/O6FogEfm3vKV4dvlKOAHAy4kP7ML9T43Lyz8M4lEXObpTiEGnUo0nkBVFBKaxinZmRRnOVEUhZV7DxGMRHFazYw4pYj+nfJZf6icD7btae9mCyFSyAl7+amzZ6OoKlo8Ss6Mu/Bt+Qjvp29jcBWTd9mDKAYTtQuewLdxfns3VbSBUpfKR5db+eVHYf61NUowBr8cY+SWkUb+sCTCI6sjFNgVfjbcyGnFOs55JUhN8ITctcX3xOAy0O2P3VBNKu65bqr/U930mbWHlZLbSmhY2UD1W9VEa6XnQyozKApRLfn33t9s5pWiYjTg91WV/LuhoWm9EoORxwoLeaW+jlfq69unsaJNFWR24bIJdxCLR3nknVuJxsJf+QTbbLASiiarVKuKSkJCd0oYUlzI1IG9eWD+YnzhCH0L87h4+AAqGrw4zCZ0qsrfl3xCRYOXdIuZkV2L6FOQy9Yj1czfsrO9my+ESBEnQHG142VwVIsDxWhF0ZuIe93EGqrQpWWCqhLcvxYALRbBt+kDqv/9e3yb3m+vRos2lm1T8EU0lhyMETr6APPPyyI8vDrCPRNNdHEqHPFq/HVlREJ3BxH1RDn414NE3BGs3a2YS8xNnwV2BTjwwAGcY5w4Rzvbr5Gi1Y2yWrnUmUFvkwmATaEQv62qRAGGWKxk6o4XXjwQjXAgGqG/2dJOrRVtQWl2XZFlz+fTPR9TnNOLayf/EYPOiIbWYp3mjoVuQEJ3CjlYW0+tP8ANE0ZiN5vo4srgzXVbeezjFTy+cCWHauu59rThFGY4aAiGWLn3ELurPS0KqwkhxP/qBAjeyYDkGD6D7PN+Te5F95B70Z8wuIqb1jC4ijAX9saQ3YWM02ehd+YR2rf2ePVykbLO66WnR5ZKPAGdHCrheHKPMR+tTnDvsgjugMb4kuSCar8moTsVNbtGVgxH36gQ2B3gyPNHMGYbcU1yYS5qGb73/m4v7nfdbdxY0VbOc6Rzd14+nQyGFkHqzYYG7q6u4hyHg4ucGWTrkscHq6KQrzdQFZPCSKns2NPsc4dfw/mjrsekN7Nx/zIKs7py89S/fm34FqnH7fUze9V6gtEoN00cRV66nepGH5oG9YEQr3+ykf2eOmaNHUahMxm+F+3cx7PL1hCQCuZCiO/JCdHVPH3spdgHTqH2gyeJ1VeRddbPUQwmqmbfRtxfR/qoH5E+5mJidZUkwn4qZ98KMu1Lyhucr7Jmlo3r3w3xzNooS6+0EkvA2a8ECBw9DzrNsPRKG79bFObN7XIxnZKaHaWyJmVh62lDNamEjoTwvOsh1hAjrU8aBT8uILA7gGe+h9Chz4zflYpZKWeK3c4f8/L5TWUFS/1+/InP/4KvyMjgtuwcNodC7AiHcOn0FBoMzDx4ALmUTm2FWV258ez7eOHjP7OjLNljrmtePy457Vb84cavHfMtUlNWmpXpg/rQMy+bxz9eycGauqZTjNmg54Ih/enXKY+HP1jGkfrG9m6uECLFtPvjYtXmxFzUH8+7fyWwYxk6WwY6exaNq+cQ9yeLJTWseI2K52/GM/cBKl/8RTJ0y5PulNY3R2VQno5ffRTmmbXJS+Q/L4tg1MF7l1jpnqnSP1fl5uEmsiwKnx6RGzEpq9mUYdlTswkeCBKti2I9xUrX33bFkGnAt9VH+XPlWLpayD0/F2OuseV3SOhOKZk6HT9yZvAXdzXzvd6m0G1VFPqZzQyyJLuSv1BXx93VVfQzm+liNDHf6+WHR0P3CTulh/hemA1WdKqBqvrDTcv2V21lzsonKMruydVn/A6j3iyhu4PItFlwmE3U+AK8vX4bBzy1XDR8AGkmY9MeEIrG+Pfazaw/dIRITK4phBDfvzZPrzpHdssGmNMwZBYSPrwFc5fBuKbeSv3iF/BteA/FYMY+9DwUo4Vo9X4ilbsBTaqXp7gCu8Lz51p4aLIZ4/Hhmby/N8YfFodJaLDhOhtvXGDhkn56zn4lwKEGuXhKZcZcI45THZQ9U4Z7rpvyZ8spf7accEWYkttK0Nl0+Lf5qZhdQSKSIFIdae8mi1aWqdNR3azL+Eynkz/l5/NqUTF/yS9gdlERAK/V1/PH6ipOtVjIN+gxKsnuxdI/JrWV1+4jFPEzuOv4pmUJLcEh9y7cDWX0LhrGBaNvbL8GijbTpyCXq8YMpWd+NhaDHo/Pz7/WbMIXinDjxFGkmZI3ahUgGIny6uoNeHz+9m20ECIltWnwNriKKLzuWWz9zmhaFm/0EKncjfO0K8k+907qPv4Hvg3vAaBLy8TSZRCmgp4tv0hCd0o4NrpO32wv7JGlcsSr8fzGCEe8CSZ3Pf5cKpaABXvjTHghwA9eDPDD14OMfS7A+krZH1KNIatlMRudVYch00C07ngH4XBlmKo5VSSiCWy9bQD4Nvs4/Pjh5FNyGb6Z0myqyjhbGsOtVh4qKOAip5O6eJxZZYe5t7oal07P9VlZALxeX8991dXc5Mrm2swsbKr0mEoVnx2nrarJu7WRaJDNB1fQt2g4Q7qd3vR5PBGjvGYff33rZ7yy5K9t2lbR9nrn53Dx8IF8sv8wOyrcBKPJW24eX4CXV60nEIly/dGCa3L7XgjR2tr06iPWUE3j6jfJmnQDtj4TAdASMeK+OuyDpuDftripUrmiN5Fx+izQNEIHNrZlM0Ub0YBumSrPnGPGoMKM3nq2/9RG1wyFZ9dFeXBlBJdV4aXzzJ8L6SvL4mx1J6jyy6ky1ZgKTPR4oAfOsc6mZeGqMOGqMPZ+9uOBWoNQeQjVpGJ0GT//RbJrpKzaeJxfVVYw2W7n97l5FBuM/Lm6mkc8HlYGAqwKJMd8q81C2ez6Oh7xuLk4I0O6maeI5uOzJ/Q7n8sn/pJbpz/K+L4/JCMtl/fWvoQv1Mjp/S/g0vG3MarXWcya9HucadkcrN6BpiVQZNhayrIYDUws7cZH2/ewZNd+gpEoNpORgZ3z6Z7roi4Q5IUVa1GAq8cMRZGbtUKIVtam1x9aNETDyn+hRUNknf1ztESMwPYl1H38D3SObIz53XFNu51YQxWmwt6oJisVL/yc44+v5Eo61Vj0cMVAA90yVUZ21nHl2yH21iV/z7M3RdEpcM2pRp6fbuaKt0LEEqAqkJBdIWVFa6J43vNQcHkBxKF+RT1aRCN0IIR9oJ2IO0Ljp8eL3sR9ceIBGY/X0awKBJiyfx9WVaU8+vlSaf5EgupYcvmx2nrP1tbyRn09jV9QiE2cfI6F7mnDfsKoXmexYsc8YvEo4/qeS89Og3lnzXO8tuQhhnb/AcN7TCLXWYQ/1Mgz7/+2qaq5Jj3oUlY8kSCWSBCOxXFazYzsWkxxVgb56XYCkSir9h5k8a79/GPpJ2gaaHJdIYRoZW2XZhX16FEt+eMKr3sWnSObmnl/w7/lI1STjbSBUzB16o0WCxOrr6R+yUvHpwyTk2PKORagbxlp5P4zTKwpTzDlZT91zQpSW/Rw+QADVw40csSb4If/CrZfg0WbUS0qWWdkkTM9h7Kny2hY3YDOpqPTdZ3Q2XREqiIE9wexD7KjT9Oz53d7pICaACBDp+NPeflk6HRccuig7BYprjCrK1ef8VteXvQgeys3A9CzcDAT+p1PNB7h1SV/JRD2AsmCa8fm6VYVVebpTnGqonD5qMGkW8zkpdvZfqSanVVudlV6OGdAKf5whDfXbWnvZgohOpBWfeJtLh6AqaAXDStfbxGcXefeSSIcILBuHlln3QyKgn/zhzSu/jes/syXSOhOWceeWlf5Ne5aFOb20SaemWrh1vdDHDxaLC0Yg5c2RTHqFC7soyc/TaHCJ7elU5YKaJAIJnD/103GuAw6XdsJxaBQv6yew08eJnNCJmmlaTgGO4jURDjw4IFk6JZOMR2aU6djRno6gy1WMnU6Lj0aumUmudSmaRpmg5WEdrzXy87ydaiqjitP/zX5mSXsrUgG8mOhG5DQnaLSTEbimoZRp6MhGGL2qvWU5uWgKLClvIrE0cfaCS1BXPYBIUQba73grdNj7TUGU0EvtESMxtVzAHBN/yWGzEKq3/g9cX8tibCPrDNvgkQc/9aFn/8eOTCmrIlddEwo0fPwqgg1QY25u2IsvdIGmPnFghCHG5MnyJ5ZKo9+EuGFjREaw+3bZvH9s5XasHaz4p7rbpGQOv+0M/FAHO8GL4VXFQJQv6wez7sePO96UIwKWuRo0pZ01eHl6fUMslg5FIlwk7uaOKADZBBCalOPjtFOtyYL6amqjkQizvbDa2jw19Alp09T8Bap6dg91975OUws7YbFoCcSj7Ns9wHWHixnc3ll07oWg57xvbrSMzebxz5e2W5tFkJ0TK0XvOMxGpa/imP4+Vi7j0SLRTF1KsWQUYD7zbuJe90ANK56A7QEWWf/H/FAA6H961qtSeLEcV4vPc9Pt/DEmgjdMlVqyuNsqEww5p9+ll1lI6GZefSTCBO76PjlGBNFD/lwB+RxZqpR9Arpw9KxdrOixTU88zwAdL6xM6ZcEwcfOki0IUo8EKfwykJIJMd8A8dDN0joFuwIh7mz4gjeo+O3VSR0p5LmhdSOhWuAspo9bD64kovG/QJPYwVlNXsAsJrsaFqChoCn3dosWsdnOzdpQGl+DpeMGMSCrbs4Ut9IaX4OM4cNQK9TWb0vOZd7/055DCnpRLY9jacWr6ba62uP5gshOrBW75yps2XgGHkhlq5Dk8XS/nkTcV9Niy7kisGMrXQcvs0fyhPuDqDUpfLh5VbuXhLmyU+PF0XSKRDXoH+uyrsXW/EENLKtClNflSnDUpneqcd1lgvrKVYaVjdg7W7FmGfk8KOHibiT83ErRoXss7LJnpbNwYcO4tssF0xCdBTNQ/dpfc+je35/UBRqvVW8ufLJo93Kf0OfzsP4ePO/CUeDdC8YgMOaxf1zrpNu5Snk2EVrodNBaUEOH27bQ7rFzMxhA9h2pIpluw9gN5u4aeIogtEo+U4H/1m3hZV7D6FTVYaUFLK7ykOtX+rFCCHaXpuMilStTtJHXoipsJTAjiU0fvKfoz/9C8Zvy5julDetp567TjNx+ovHC6kd2xGbTqp2hQK7wuFGjUoZ053y9Ol6sqdmY+9vR7Wq7PnNHmL1sRZdyFWTSvrwdOqW1ckTbiE6oGnDrmZkr7NYuWMeaWYnvTqdijdYx5Pv/RpfqJ6zh/yYrnn90On01Hgrmb3ofhKJOIqiSvXyFHDs+iA/3c7/nTGWJbv3887G7aSZjIzqVszKvYcAuO604ezz1DJv0w5+eGo/BnTOZ+6GbSzdfaA9my+EEG1Xjki1OUkfORNTfncCu1Y2jfmWikgdz4/66rn/B2ZG/9PfNI77mIlddOzwJDjilX2io9E5dGSfk42tu4361fXUzK9JfvBFhwgZ0y1Eh5LnLOa6KXfz+tK/sb3sUwCy7PnMmvx7orEwf3nrJgCMejOxRLSpK7pUL08NzUP3TaePZsmu/czfsrPpc71OJRZPMKlPdzpnOHl59XpC0RhT+vXk1OJCDDod9763iGDk81MPCiFEW1Hb6gcl/PU0rHyd8JFdWLoNxzn20qOfSMDqaA41aGRYFM7poUentPzsgt4GrhpkQPniTUUKizfG8bzrIbA3QPrQdFxnuZIfHOsK0ZxcRwuR0sb1OZezTr286b3FZMNiTKOy/lDTshpvBS8tvI+MtByGdJsIQDQWbgrdINXLU4UGZKVZ+dnpo1m8a1+L0H1qcSFFGU4A8hx2/JEIoWgMAINOZf6WXdzz7kIJ3UKIdtdmwRuOhu9V/yJWX4lqdbbljxbtaEiBysw+em4fbSQ/TWHF4Th/Xhbmb2eauWGokVKXSieHwr0/MHF+qZ7Xt8TkdkwHFWuI4Z7rJrgvOUd3zg9zkh/IDiFEhzGq11nMGH0jR2oPNC2rrDtENB5hQJcxLdat97mJxsKYDVaAprHgIrUowLAunQnHYgTCkablp5d2Y+qAUqJHb7bsr6ljYOcCJvXpzsyh/RlcVMgBTy3hWKydWi6EEMe16jzeXyThr6fuo2dIhPxt/aNFO/hhqZ7HppjZ5k7gMCncOtLI7xaFuWdpBE2DX4018ptxRqp8GjajwqTZAXbXyhOKjizWEMP9jpvcC3PRO9r8ECWEaEejS8/hwtE38Y/372LTgeVNy4MRH5sPrKBf8Uga/DWs37cYgEgsRDDiI56QGvapTAOW7z6AQadjYFEBsUQCk17P2O4lvPbJRg7XNgCw4dARbEYjfQvz8IUjPLPkEzy+wFd/uRBCtJF2HmAt47tT2YBclXmXWPnlR2Fe3BjFagDvL+3c+WGYB1Yk71j3yVbJTUv2I97mTkghNdFEZ9MRD8TlECFEB9G/ZDQ/mXQXzyz4LVsOHp9jedqwq1m1cwEA5w6fhdPmoqxmL4fduxjUdTxp5nTunXOtFFDrAOxmE6eXdqNHrousNCt/X/IJe6prUBWFhHb8ZGHS69E0jUhcbsgIIU4c7fw4Sa6oU8WITjq2u+M0hI8vy7erbK5K8OLGKD2zVOZfauXZ9dGm0J1pUdjqTrDV3U6NFie0uP/oBZPcnxMi5elVA6WdhlDTWEGWPa9p+axJfyDLkcfiLW/REKjhrVXP0L9kFEN7nEG2oxBvsI7H592BpiWkenkH4A2F+XDbbjRNo2tOFoVOB3uqa0hoWovwLV3LhRAnIunHKf5np+arLL/Kyv9bGObR1RG8R4df9XKppJvBYYL5l1pZsDfG9e8k5w+b2kPPuGIdv10YJijnR/FVJHQLkfJiiSjvrXuJWCLKkG4TUVA4Ja8vmfYc/vH+72gIJGc5cDeW89GmN/ho0xvodQZi8WTBLKle3nH4whE+3rEXRVHo3zkfVVVYuGMfCU2T+7RCiBNamxZXE6lpbUWC2z8Ic9dpJn46zIjDlFz+n+1RbAaFqlvtLNgb47p3Qk0nxHHFOnq5VIy6dmu2EEKIE0hjoJb317/KIfdOxvc7j56Fg3jqvd/gaaxAUT5/uXIsdINUL+9ovKEwH23fw+HaBnrn5zKpT3dAQrcQ4sQmwVt8J8dmdyqwJ//rLysj3PJ+mD9NNHHDUCN2I1T5Nd7eGeNwQ4K6YPJ02D1T5U8TTVw1yMgdH4ZbdE0XQgjRsXmDdcxf9zKbD66ixlvBkG4TAJJdyWWiSdHMsfDt8fkpycrAajS0d5OEEOIrSa8c8a0d22kG5Kq89SMr18wN8sG+5Hjcm4YZefhME7/5OMy9yyJkWRVuHm7k0v4GMswKBxsS6FW45M0gGyrlCYUQQojPs1syOHPwJRRl92Tj/uV8uPG19m6SOEGlmYxAsgu6EEKcyCR4i2/l2A7TP1dl1dU2HloV4dcft3xs/fMRRv4yycT/W5icNsygQoZFYWIXHbtqEhzxalK9XAghxFeyWzKYPOhiOmf3YPeRDbyz5rn2bpIQQgjxnUlxNfGNNQ/dK78gdJe6VLZ7Ejy8KkI8AQ+faULT4PE1Ear9Gq9tkSpqQgghvhlvsI4F619h+ohrsFuc7d0cIYQQ4n8iT7zFt9I1Q2Hz9Wk8uDLCbxceD92/GmtkdGcdV/831PQ0+6ZhRh6cZOLeZREeXBFuqnYuhBBCfFNWk51g2IcmlytCCCFOYlJcTXxjCnDVICPeiEZN4PgF0J1jjNw2ysTfVkeo9GmoR+vfPPpJhN8tCnPjMCMGnRTFEUII8e0Fwl40NCmuJoQQ4qQmT7zFt5KfpnD7aCMjOul4fkMUhyn5/pI3g7y/N/6F22SYoS7Uxg0VQgghhBBCiBOEBG/xreXaFH49zsQZp+jomqEyeXaAhQfi6BSIH92b7hpvotCuMGtuSHYyIYQQQgghRIcmXc3Ft1bl17h7SZgFe2NscycYlK8DWobu20cZefLT5KBuCd1CCCGEEEKIjkyqmovvpNqv8eelEVRF4YLeevQq3L88wq/GGrl9lJExz/lZVyHzdAshhBBCCCGE9AIW/5Nj3c4H5KqYdAr9c1UJ3UIIIYQQQgjRjHQ1F/+TKr/Gn5aE2VObINMCI5+V0C2EEEIIIYQQzckTb/G9cFkVVCXZBV0IIYQQQgghxHESvIUQQgghhBBCiFYkXc2FEEIIIYQQQohWJMFbCCGEEEIIIYRoRRK8hRBCCCGEEEKIViTBWwghhBBCCCGEaEUSvIUQQgghhBBCiFYkwVsIIYQQQgghhGhFEryFEEIIIYQQQohWJMFbCCFEShs75A5+MmNxezfjc86Z8BgzJr/U3s0QQgghRBvQt3cDhBBCdDznTHiMAT0vBiAej9LoL2fnvndY8um9RGOBdm7dVysqGM1l0+by4D9LCEcav/N6Hyz/JaC0YkuFEEIIcaKQ4C2EEKJd7D30IXMX3oiqGijKH8HZp/0Ng8HK/KW3fm5dVdWTSMTaoZWtJxzxtncThBBCCNFGJHgLIYRoF7F4GH+wGoCte+ZQXDiWniVnMX/prYwdcgc9S85izeZnGH3qLTjtRdzztAtHWiGTR99HSadxaJrG3sMf8f6yO/AH3U3fO3LgzQzrfz0GvYXte98mEPK0+LmXTvsvVZ4tfLDiV03LZkx+iVCkgXcW3giATjVy2rBf0afb+VgtLhp9ZaxY/zcOlC/msmlzAbj1qgMAbNz5StN238Y5Ex7DbEzn3wsua2pXdc1WYvEwA3tdRjwRYd2251n66X1N25iMdk4f8Qd6dDkLvc5MhXs9H6z4NdU1W7/1zxdCCCFE25HgLYQQ4oQQiwVRVUPT+4z0LpR2nc6cBVegaXEALpg8m0gswEtvT0VV9Zw59gHOO+NZZv93GgClXaczbuidLFh6O4cqVtKvx4UM7Xct9Y0HvlVbpk18ksLcoby/7E6qarbgdBRjMWfR6Cvn3wsuZ8bkF3ny1aGEI15i8eD39v+gX4+L+GTTEzz3nzPolDuUqRMep6xyNfvLFgEwc8rrBMN1vD5vJqFII4NLf8wl57zFk68NJRSu/97aIYQQQojvlwRvIYQQ7a4gZzB9us3gQPmSpmU61ch/P76OQKgGgC6dxpOT1YfHXh6E118OwH8/vp5rZ64kP3sQFe71DOt3HRt3vMyGHcmiZYvX3EOXTuPR60zfuC2Z6V3p3e08Xp57HgfKk0XZ6r0Hmz4PhusA8AfdXznG+7uort3K0rX3A1DXsI8hfX9CSeE49pctorhgLNmZvXn4hR7EExEAPlr1W3p0OYvSU85l/fYXvte2CCGEEOL7I8FbCCFEu+hePJnbrj6EquhRVQO7DsxjwbI7mj5v8B1uCt0AWc4eNPrKm0I3gKduJ8FwPa6MHlS415OV0YN1255r8XPKqtZQUjDmG7cr19WPRCLGoYrl/8O/7rv5bJdxn78KmyUbgPzsgRgNNn5x5Z4W6+h1FpyOkrZqohBCCCG+AwneQggh2sWBI8uYv+QW4okovkDl54qnRaMtq5srioKG9rnvUVDQtM8v/zKalgClZTVxXbMu7rHY99d1/Nv67P8DDa2prYqi4AtUMfu/Uz+3XSjS0CbtE0IIIcR3I/N4CyGEaBfRqJ+6xv00+sq+UcVyT91O0tM6YbcVNi1zZfTEbEqnpn4XADV1uyjMHdJiu8Kclu8DwRrSrLlN7xVFJTuztOl9de02FEWlKH/0F7YjHo8CoCq6r23z96nSs4k0aw4JLUZd4/4Wr2Cotk3bIoQQQohvR4K3EEKIk8L+skVU12xl+ulPk+fqT0HOYKZNeIKDR5ZR4d4AwCebn2ZAz0sY0PMSMtO7Mm7InWRn9mrxPQfKl9Ct6Ay6FZ1BlrM7Z459EJMxvenzBu9hNu18jXPGP0qPkrNItxdRVDCa0q7TAWj0HUbTEnQrnozVnIVBb/vKdudk9iY3q2+L13f995dVreGCybM5pdNE0u2dKcwdxmlDf0V+9sDv9J1CCCGEaBvS1VwIIcRJ440FlzJ59H1cdu47LaYTO2b73v+Q4ShhwojfodeZ2LF/Lmu3/pOunSc2rbNx58vkuvoydeKTJBIxPtn0JAePLG3xc95begsThv0/zhz7ABZzJo2+MpavewgAr7+CJWvuZeLw3zJ1wmNs2vXaV04ndvn0eZ9b9qenMr/Tv//1eTMZP+zXnDPhEaxmF75ANYcqVuALuL9+YyGEEEK0GwW+YMCcEEIIIYQQQgghvhfS1VwIIYQQQgghhGhFEryFEEIIIYQQQohWJMFbCCGEEEIIIYRoRRK8hRBCCCGEEEKIViTBWwghhBBCCCGEaEUSvIUQQgghhBBCiFYkwVsIIYQQQgghhGhFEryFEEIIIYQQQohWJMFbCCGEEEIIIYRoRRK8hRBCCCGEEEKIViTBWwghhBBCCCGEaEUSvIUQQgghhBBCiFb0/wGrNgyDmZ18RQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Create figure and axes\n",
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "fig.patch.set_color('#000000')\n",
+    "\n",
+    "# Box Plot\n",
+    "box_data = [df[df['Product line'] == product]['Quantity'] for product in product_lines]\n",
+    "# Plot each box with a different color\n",
+    "box_colors = colors_bar[:len(product_lines)] \n",
+    "for i, data in enumerate(box_data):\n",
+    "    boxprops = dict(facecolor=box_colors[i], color='black')\n",
+    "    whiskerprops = dict(color='black')\n",
+    "    medianprops = dict(color='red')\n",
+    "    ax.boxplot(data, positions=[i+1], widths=0.6, patch_artist=True,\n",
+    "               boxprops=boxprops, whiskerprops=whiskerprops, medianprops=medianprops)\n",
+    "\n",
+    "# Customize legend for boxplot\n",
+    "handles = [plt.Line2D([0], [0], color='red', lw=2, linestyle='-')]\n",
+    "ax.legend(handles, ['Median'], bbox_to_anchor=(1.02, 1))\n",
+    "\n",
+    "# Set title and labels\n",
+    "ax.set_title('Distribution of Quantity by Product Line', fontdict=title_font)\n",
+    "ax.set_xlabel('Product Line', fontdict=label_font)\n",
+    "ax.set_ylabel('Quantity', fontdict=label_font)\n",
+    "\n",
+    "# Customize x-ticks\n",
+    "ax.set_xticks(range(1, len(product_lines) + 1))\n",
+    "ax.set_xticklabels(product_lines, rotation=45, ha='right')\n",
+    "\n",
+    "\n",
+    "for label, color in zip(ax.get_xticklabels(), colors_bar):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "for label, color in zip(ax.get_yticklabels(), colors_ytick):\n",
+    "    label.set_color(color)\n",
+    "\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3628db1e-7da4-40b5-899c-5f01656d5002",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0197f00e-6366-4667-bfad-98f78745d1dc",
+   "metadata": {},
+   "source": [
+    "## Time Based Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "f5c22100-88e6-4369-9022-52956c06d4ce",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Convert 'Time' to datetime format\n",
+    "df['Time'] = pd.to_datetime(df['Time'], format='%H:%M:%S').dt.time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "904289da-418a-48da-afad-bf37c7a53a3f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Extract hour from the 'Time' column\n",
+    "df['Hour'] = df['Time'].apply(lambda x: x.hour)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "8f2e9480-b04d-4fc1-b75b-f34d63a2b992",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Aggregate sales by hour\n",
+    "hourly_rating = df.groupby('Hour')['Rating'].sum().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "18a2edc3-2e1e-4f4b-b8c5-4312137ca051",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'cm' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[43], line 16\u001b[0m\n\u001b[0;32m     14\u001b[0m \u001b[38;5;66;03m# Add a color gradient to the line\u001b[39;00m\n\u001b[0;32m     15\u001b[0m norm \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39mNormalize(hourly_rating[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHour\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mmin(), hourly_rating[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHour\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mmax())\n\u001b[1;32m---> 16\u001b[0m cmap \u001b[38;5;241m=\u001b[39m cm\u001b[38;5;241m.\u001b[39mget_cmap(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcoolwarm\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m     17\u001b[0m sm \u001b[38;5;241m=\u001b[39m ScalarMappable(cmap\u001b[38;5;241m=\u001b[39mcmap, norm\u001b[38;5;241m=\u001b[39mnorm)\n\u001b[0;32m     18\u001b[0m sm\u001b[38;5;241m.\u001b[39mset_array([])\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'cm' is not defined"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "# Define color gradients for the line and markers\n",
+    "line_color = '#1f77b4'  # Blue color for the line\n",
+    "marker_color = '#ff7f0e'  # Orange color for the markers\n",
+    "\n",
+    "# Create figure and axes\n",
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "fig.patch.set_color('#000000')  # Set figure background color\n",
+    "\n",
+    "# Plot the line chart\n",
+    "ax.plot(hourly_rating['Hour'], hourly_rating['Rating'], marker='o', linestyle='-', \n",
+    "        color=line_color, markerfacecolor=marker_color, markeredgecolor='black', \n",
+    "        markersize=8, linewidth=2, alpha=0.7)\n",
+    "\n",
+    "# Add a color gradient to the line\n",
+    "norm = plt.Normalize(hourly_rating['Hour'].min(), hourly_rating['Hour'].max())\n",
+    "cmap = cm.get_cmap('coolwarm')\n",
+    "sm = ScalarMappable(cmap=cmap, norm=norm)\n",
+    "sm.set_array([])\n",
+    "cbar = plt.colorbar(sm, ax=ax)\n",
+    "cbar.set_label('Hour of the Day')\n",
+    "\n",
+    "# Add title and labels\n",
+    "ax.set_title('Total Rating by Hour of the Day', fontdict={'fontsize': 16, 'fontweight': 'bold', 'color': 'white'})\n",
+    "ax.set_xlabel('Hour of the Day', fontdict={'fontsize': 14, 'color': 'white'})\n",
+    "ax.set_ylabel('Total Rating', fontdict={'fontsize': 14, 'color': 'white'})\n",
+    "\n",
+    "# Customize x-ticks and y-ticks\n",
+    "ax.set_xticks(range(24))\n",
+    "ax.set_xticklabels(range(24), rotation=45, ha='right', color='white')\n",
+    "ax.yaxis.set_tick_params(color='white')\n",
+    "ax.xaxis.set_tick_params(color='white')\n",
+    "\n",
+    "# Customize grid\n",
+    "ax.grid(True, which='both', linestyle='--', linewidth=0.7, color='gray')\n",
+    "\n",
+    "# Add data point annotations\n",
+    "for i, row in hourly_rating.iterrows():\n",
+    "    ax.text(row['Hour'], row['Rating'] + 1, str(row['Rating']), fontsize=10, color='white', ha='center')\n",
+    "\n",
+    "# Add a vertical line to highlight specific hours (optional)\n",
+    "highlight_hour = 12\n",
+    "ax.axvline(x=highlight_hour, color='red', linestyle='--', linewidth=1.5, alpha=0.7)\n",
+    "ax.text(highlight_hour, max(hourly_rating['Rating']) * 0.9, f'Peak Hour: {highlight_hour}', \n",
+    "        fontsize=12, color='red', ha='center', va='bottom')\n",
+    "\n",
+    "# Set background color for the plot area\n",
+    "ax.set_facecolor('#1e1e1e')\n",
+    "\n",
+    "# Show plot\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a8d36e1c-36ab-40cc-91df-01b85b148ac5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/DataScience/Super Market Sales Analysis/supermarket_sales.csv b/DataScience/Super Market Sales Analysis/supermarket_sales.csv
new file mode 100644
index 00000000..64b54cc6
--- /dev/null
+++ b/DataScience/Super Market Sales Analysis/supermarket_sales.csv	
@@ -0,0 +1,1001 @@
+Invoice ID,Branch,City,Customer type,Gender,Product line,Unit price,Quantity,Tax 5%,Total,Date,Time,Payment,cogs,gross margin percentage,gross income,Rating
+750-67-8428,A,Yangon,Member,Female,Health and beauty,74.69,7,26.1415,548.9715,1/5/2019,13:08,Ewallet,522.83,4.761904762,26.1415,9.1
+226-31-3081,C,Naypyitaw,Normal,Female,Electronic accessories,15.28,5,3.82,80.22,3/8/2019,10:29,Cash,76.4,4.761904762,3.82,9.6
+631-41-3108,A,Yangon,Normal,Male,Home and lifestyle,46.33,7,16.2155,340.5255,3/3/2019,13:23,Credit card,324.31,4.761904762,16.2155,7.4
+123-19-1176,A,Yangon,Member,Male,Health and beauty,58.22,8,23.288,489.048,1/27/2019,20:33,Ewallet,465.76,4.761904762,23.288,8.4
+373-73-7910,A,Yangon,Normal,Male,Sports and travel,86.31,7,30.2085,634.3785,2/8/2019,10:37,Ewallet,604.17,4.761904762,30.2085,5.3
+699-14-3026,C,Naypyitaw,Normal,Male,Electronic accessories,85.39,7,29.8865,627.6165,3/25/2019,18:30,Ewallet,597.73,4.761904762,29.8865,4.1
+355-53-5943,A,Yangon,Member,Female,Electronic accessories,68.84,6,20.652,433.692,2/25/2019,14:36,Ewallet,413.04,4.761904762,20.652,5.8
+315-22-5665,C,Naypyitaw,Normal,Female,Home and lifestyle,73.56,10,36.78,772.38,2/24/2019,11:38,Ewallet,735.6,4.761904762,36.78,8
+665-32-9167,A,Yangon,Member,Female,Health and beauty,36.26,2,3.626,76.146,1/10/2019,17:15,Credit card,72.52,4.761904762,3.626,7.2
+692-92-5582,B,Mandalay,Member,Female,Food and beverages,54.84,3,8.226,172.746,2/20/2019,13:27,Credit card,164.52,4.761904762,8.226,5.9
+351-62-0822,B,Mandalay,Member,Female,Fashion accessories,14.48,4,2.896,60.816,2/6/2019,18:07,Ewallet,57.92,4.761904762,2.896,4.5
+529-56-3974,B,Mandalay,Member,Male,Electronic accessories,25.51,4,5.102,107.142,3/9/2019,17:03,Cash,102.04,4.761904762,5.102,6.8
+365-64-0515,A,Yangon,Normal,Female,Electronic accessories,46.95,5,11.7375,246.4875,2/12/2019,10:25,Ewallet,234.75,4.761904762,11.7375,7.1
+252-56-2699,A,Yangon,Normal,Male,Food and beverages,43.19,10,21.595,453.495,2/7/2019,16:48,Ewallet,431.9,4.761904762,21.595,8.2
+829-34-3910,A,Yangon,Normal,Female,Health and beauty,71.38,10,35.69,749.49,3/29/2019,19:21,Cash,713.8,4.761904762,35.69,5.7
+299-46-1805,B,Mandalay,Member,Female,Sports and travel,93.72,6,28.116,590.436,1/15/2019,16:19,Cash,562.32,4.761904762,28.116,4.5
+656-95-9349,A,Yangon,Member,Female,Health and beauty,68.93,7,24.1255,506.6355,3/11/2019,11:03,Credit card,482.51,4.761904762,24.1255,4.6
+765-26-6951,A,Yangon,Normal,Male,Sports and travel,72.61,6,21.783,457.443,1/1/2019,10:39,Credit card,435.66,4.761904762,21.783,6.9
+329-62-1586,A,Yangon,Normal,Male,Food and beverages,54.67,3,8.2005,172.2105,1/21/2019,18:00,Credit card,164.01,4.761904762,8.2005,8.6
+319-50-3348,B,Mandalay,Normal,Female,Home and lifestyle,40.3,2,4.03,84.63,3/11/2019,15:30,Ewallet,80.6,4.761904762,4.03,4.4
+300-71-4605,C,Naypyitaw,Member,Male,Electronic accessories,86.04,5,21.51,451.71,2/25/2019,11:24,Ewallet,430.2,4.761904762,21.51,4.8
+371-85-5789,B,Mandalay,Normal,Male,Health and beauty,87.98,3,13.197,277.137,3/5/2019,10:40,Ewallet,263.94,4.761904762,13.197,5.1
+273-16-6619,B,Mandalay,Normal,Male,Home and lifestyle,33.2,2,3.32,69.72,3/15/2019,12:20,Credit card,66.4,4.761904762,3.32,4.4
+636-48-8204,A,Yangon,Normal,Male,Electronic accessories,34.56,5,8.64,181.44,2/17/2019,11:15,Ewallet,172.8,4.761904762,8.64,9.9
+549-59-1358,A,Yangon,Member,Male,Sports and travel,88.63,3,13.2945,279.1845,3/2/2019,17:36,Ewallet,265.89,4.761904762,13.2945,6
+227-03-5010,A,Yangon,Member,Female,Home and lifestyle,52.59,8,21.036,441.756,3/22/2019,19:20,Credit card,420.72,4.761904762,21.036,8.5
+649-29-6775,B,Mandalay,Normal,Male,Fashion accessories,33.52,1,1.676,35.196,2/8/2019,15:31,Cash,33.52,4.761904762,1.676,6.7
+189-17-4241,A,Yangon,Normal,Female,Fashion accessories,87.67,2,8.767,184.107,3/10/2019,12:17,Credit card,175.34,4.761904762,8.767,7.7
+145-94-9061,B,Mandalay,Normal,Female,Food and beverages,88.36,5,22.09,463.89,1/25/2019,19:48,Cash,441.8,4.761904762,22.09,9.6
+848-62-7243,A,Yangon,Normal,Male,Health and beauty,24.89,9,11.2005,235.2105,3/15/2019,15:36,Cash,224.01,4.761904762,11.2005,7.4
+871-79-8483,B,Mandalay,Normal,Male,Fashion accessories,94.13,5,23.5325,494.1825,2/25/2019,19:39,Credit card,470.65,4.761904762,23.5325,4.8
+149-71-6266,B,Mandalay,Member,Male,Sports and travel,78.07,9,35.1315,737.7615,1/28/2019,12:43,Cash,702.63,4.761904762,35.1315,4.5
+640-49-2076,B,Mandalay,Normal,Male,Sports and travel,83.78,8,33.512,703.752,1/10/2019,14:49,Cash,670.24,4.761904762,33.512,5.1
+595-11-5460,A,Yangon,Normal,Male,Health and beauty,96.58,2,9.658,202.818,3/15/2019,10:12,Credit card,193.16,4.761904762,9.658,5.1
+183-56-6882,C,Naypyitaw,Member,Female,Food and beverages,99.42,4,19.884,417.564,2/6/2019,10:42,Ewallet,397.68,4.761904762,19.884,7.5
+232-16-2483,C,Naypyitaw,Member,Female,Sports and travel,68.12,1,3.406,71.526,1/7/2019,12:28,Ewallet,68.12,4.761904762,3.406,6.8
+129-29-8530,A,Yangon,Member,Male,Sports and travel,62.62,5,15.655,328.755,3/10/2019,19:15,Ewallet,313.1,4.761904762,15.655,7
+272-65-1806,A,Yangon,Normal,Female,Electronic accessories,60.88,9,27.396,575.316,1/15/2019,17:17,Ewallet,547.92,4.761904762,27.396,4.7
+333-73-7901,C,Naypyitaw,Normal,Female,Health and beauty,54.92,8,21.968,461.328,3/23/2019,13:24,Ewallet,439.36,4.761904762,21.968,7.6
+777-82-7220,B,Mandalay,Member,Male,Home and lifestyle,30.12,8,12.048,253.008,3/3/2019,13:01,Cash,240.96,4.761904762,12.048,7.7
+280-35-5823,B,Mandalay,Member,Female,Home and lifestyle,86.72,1,4.336,91.056,1/17/2019,18:45,Ewallet,86.72,4.761904762,4.336,7.9
+554-53-8700,C,Naypyitaw,Member,Male,Home and lifestyle,56.11,2,5.611,117.831,2/2/2019,10:11,Cash,112.22,4.761904762,5.611,6.3
+354-25-5821,B,Mandalay,Member,Female,Sports and travel,69.12,6,20.736,435.456,2/8/2019,13:03,Cash,414.72,4.761904762,20.736,5.6
+228-96-1411,C,Naypyitaw,Member,Female,Food and beverages,98.7,8,39.48,829.08,3/4/2019,20:39,Cash,789.6,4.761904762,39.48,7.6
+617-15-4209,C,Naypyitaw,Member,Male,Health and beauty,15.37,2,1.537,32.277,3/16/2019,19:47,Cash,30.74,4.761904762,1.537,7.2
+132-32-9879,B,Mandalay,Member,Female,Electronic accessories,93.96,4,18.792,394.632,3/9/2019,18:00,Cash,375.84,4.761904762,18.792,9.5
+370-41-7321,B,Mandalay,Member,Male,Health and beauty,56.69,9,25.5105,535.7205,2/27/2019,17:24,Credit card,510.21,4.761904762,25.5105,8.4
+727-46-3608,B,Mandalay,Member,Female,Food and beverages,20.01,9,9.0045,189.0945,2/6/2019,15:47,Ewallet,180.09,4.761904762,9.0045,4.1
+669-54-1719,B,Mandalay,Member,Male,Electronic accessories,18.93,6,5.679,119.259,2/10/2019,12:45,Credit card,113.58,4.761904762,5.679,8.1
+574-22-5561,C,Naypyitaw,Member,Female,Fashion accessories,82.63,10,41.315,867.615,3/19/2019,17:08,Ewallet,826.3,4.761904762,41.315,7.9
+326-78-5178,C,Naypyitaw,Member,Male,Food and beverages,91.4,7,31.99,671.79,2/3/2019,10:19,Cash,639.8,4.761904762,31.99,9.5
+162-48-8011,A,Yangon,Member,Female,Food and beverages,44.59,5,11.1475,234.0975,2/10/2019,15:10,Cash,222.95,4.761904762,11.1475,8.5
+616-24-2851,B,Mandalay,Member,Female,Fashion accessories,17.87,4,3.574,75.054,3/22/2019,14:42,Ewallet,71.48,4.761904762,3.574,6.5
+778-71-5554,C,Naypyitaw,Member,Male,Fashion accessories,15.43,1,0.7715,16.2015,1/25/2019,15:46,Credit card,15.43,4.761904762,0.7715,6.1
+242-55-6721,B,Mandalay,Normal,Male,Home and lifestyle,16.16,2,1.616,33.936,3/7/2019,11:49,Ewallet,32.32,4.761904762,1.616,6.5
+399-46-5918,C,Naypyitaw,Normal,Female,Electronic accessories,85.98,8,34.392,722.232,2/28/2019,19:01,Cash,687.84,4.761904762,34.392,8.2
+106-35-6779,A,Yangon,Member,Male,Home and lifestyle,44.34,2,4.434,93.114,3/27/2019,11:26,Cash,88.68,4.761904762,4.434,5.8
+635-40-6220,A,Yangon,Normal,Male,Health and beauty,89.6,8,35.84,752.64,2/7/2019,11:28,Ewallet,716.8,4.761904762,35.84,6.6
+817-48-8732,A,Yangon,Member,Female,Home and lifestyle,72.35,10,36.175,759.675,1/20/2019,15:55,Cash,723.5,4.761904762,36.175,5.4
+120-06-4233,C,Naypyitaw,Normal,Male,Electronic accessories,30.61,6,9.183,192.843,3/12/2019,20:36,Cash,183.66,4.761904762,9.183,9.3
+285-68-5083,C,Naypyitaw,Member,Female,Sports and travel,24.74,3,3.711,77.931,2/15/2019,17:47,Credit card,74.22,4.761904762,3.711,10
+803-83-5989,C,Naypyitaw,Normal,Male,Home and lifestyle,55.73,6,16.719,351.099,2/24/2019,10:55,Ewallet,334.38,4.761904762,16.719,7
+347-34-2234,B,Mandalay,Member,Female,Sports and travel,55.07,9,24.7815,520.4115,2/3/2019,13:40,Ewallet,495.63,4.761904762,24.7815,10
+199-75-8169,A,Yangon,Member,Male,Sports and travel,15.81,10,7.905,166.005,3/6/2019,12:27,Credit card,158.1,4.761904762,7.905,8.6
+853-23-2453,B,Mandalay,Member,Male,Health and beauty,75.74,4,15.148,318.108,2/14/2019,14:35,Cash,302.96,4.761904762,15.148,7.6
+877-22-3308,A,Yangon,Member,Male,Health and beauty,15.87,10,7.935,166.635,3/13/2019,16:40,Cash,158.7,4.761904762,7.935,5.8
+838-78-4295,C,Naypyitaw,Normal,Female,Health and beauty,33.47,2,3.347,70.287,2/10/2019,15:43,Ewallet,66.94,4.761904762,3.347,6.7
+109-28-2512,B,Mandalay,Member,Female,Fashion accessories,97.61,6,29.283,614.943,1/7/2019,15:01,Ewallet,585.66,4.761904762,29.283,9.9
+232-11-3025,A,Yangon,Normal,Male,Sports and travel,78.77,10,39.385,827.085,1/24/2019,10:04,Cash,787.7,4.761904762,39.385,6.4
+382-03-4532,A,Yangon,Member,Female,Health and beauty,18.33,1,0.9165,19.2465,2/2/2019,18:50,Cash,18.33,4.761904762,0.9165,4.3
+393-65-2792,C,Naypyitaw,Normal,Male,Food and beverages,89.48,10,44.74,939.54,1/6/2019,12:46,Credit card,894.8,4.761904762,44.74,9.6
+796-12-2025,C,Naypyitaw,Normal,Male,Fashion accessories,62.12,10,31.06,652.26,2/11/2019,16:19,Cash,621.2,4.761904762,31.06,5.9
+510-95-6347,B,Mandalay,Member,Female,Food and beverages,48.52,3,7.278,152.838,3/5/2019,18:17,Ewallet,145.56,4.761904762,7.278,4
+841-35-6630,C,Naypyitaw,Normal,Female,Electronic accessories,75.91,6,22.773,478.233,3/9/2019,18:21,Cash,455.46,4.761904762,22.773,8.7
+287-21-9091,A,Yangon,Normal,Male,Home and lifestyle,74.67,9,33.6015,705.6315,1/22/2019,10:55,Ewallet,672.03,4.761904762,33.6015,9.4
+732-94-0499,C,Naypyitaw,Normal,Female,Electronic accessories,41.65,10,20.825,437.325,1/13/2019,17:04,Credit card,416.5,4.761904762,20.825,5.4
+263-10-3913,C,Naypyitaw,Member,Male,Fashion accessories,49.04,9,22.068,463.428,1/9/2019,14:20,Credit card,441.36,4.761904762,22.068,8.6
+381-20-0914,A,Yangon,Member,Female,Fashion accessories,20.01,9,9.0045,189.0945,1/12/2019,15:48,Credit card,180.09,4.761904762,9.0045,5.7
+829-49-1914,C,Naypyitaw,Member,Female,Food and beverages,78.31,10,39.155,822.255,3/5/2019,16:24,Ewallet,783.1,4.761904762,39.155,6.6
+756-01-7507,C,Naypyitaw,Normal,Female,Health and beauty,20.38,5,5.095,106.995,1/22/2019,18:56,Cash,101.9,4.761904762,5.095,6
+870-72-4431,C,Naypyitaw,Normal,Female,Health and beauty,99.19,6,29.757,624.897,1/21/2019,14:42,Credit card,595.14,4.761904762,29.757,5.5
+847-38-7188,B,Mandalay,Normal,Female,Food and beverages,96.68,3,14.502,304.542,1/26/2019,19:56,Ewallet,290.04,4.761904762,14.502,6.4
+480-63-2856,C,Naypyitaw,Normal,Male,Food and beverages,19.25,8,7.7,161.7,1/23/2019,18:37,Ewallet,154,4.761904762,7.7,6.6
+787-56-0757,C,Naypyitaw,Member,Female,Food and beverages,80.36,4,16.072,337.512,2/23/2019,18:45,Credit card,321.44,4.761904762,16.072,8.3
+360-39-5055,C,Naypyitaw,Member,Male,Sports and travel,48.91,5,12.2275,256.7775,3/9/2019,10:17,Cash,244.55,4.761904762,12.2275,6.6
+730-50-9884,C,Naypyitaw,Normal,Female,Sports and travel,83.06,7,29.071,610.491,3/5/2019,14:31,Ewallet,581.42,4.761904762,29.071,4
+362-58-8315,C,Naypyitaw,Normal,Male,Fashion accessories,76.52,5,19.13,401.73,3/25/2019,10:23,Cash,382.6,4.761904762,19.13,9.9
+633-44-8566,A,Yangon,Member,Male,Food and beverages,49.38,7,17.283,362.943,3/27/2019,20:35,Credit card,345.66,4.761904762,17.283,7.3
+504-35-8843,A,Yangon,Normal,Male,Sports and travel,42.47,1,2.1235,44.5935,1/2/2019,16:57,Cash,42.47,4.761904762,2.1235,5.7
+318-68-5053,B,Mandalay,Normal,Female,Health and beauty,76.99,6,23.097,485.037,2/27/2019,17:55,Cash,461.94,4.761904762,23.097,6.1
+565-80-5980,C,Naypyitaw,Member,Female,Home and lifestyle,47.38,4,9.476,198.996,1/23/2019,10:25,Cash,189.52,4.761904762,9.476,7.1
+225-32-0908,C,Naypyitaw,Normal,Female,Sports and travel,44.86,10,22.43,471.03,1/26/2019,19:54,Ewallet,448.6,4.761904762,22.43,8.2
+873-51-0671,A,Yangon,Member,Female,Sports and travel,21.98,7,7.693,161.553,1/10/2019,16:42,Ewallet,153.86,4.761904762,7.693,5.1
+152-08-9985,B,Mandalay,Member,Male,Health and beauty,64.36,9,28.962,608.202,3/12/2019,12:09,Credit card,579.24,4.761904762,28.962,8.6
+512-91-0811,C,Naypyitaw,Normal,Male,Health and beauty,89.75,1,4.4875,94.2375,2/6/2019,20:05,Credit card,89.75,4.761904762,4.4875,6.6
+594-34-4444,A,Yangon,Normal,Male,Electronic accessories,97.16,1,4.858,102.018,3/8/2019,20:38,Ewallet,97.16,4.761904762,4.858,7.2
+766-85-7061,B,Mandalay,Normal,Male,Health and beauty,87.87,10,43.935,922.635,3/29/2019,10:25,Ewallet,878.7,4.761904762,43.935,5.1
+871-39-9221,C,Naypyitaw,Normal,Female,Electronic accessories,12.45,6,3.735,78.435,2/9/2019,13:11,Cash,74.7,4.761904762,3.735,4.1
+865-92-6136,A,Yangon,Normal,Male,Food and beverages,52.75,3,7.9125,166.1625,3/23/2019,10:16,Ewallet,158.25,4.761904762,7.9125,9.3
+733-01-9107,B,Mandalay,Normal,Male,Home and lifestyle,82.7,6,24.81,521.01,3/5/2019,18:14,Cash,496.2,4.761904762,24.81,7.4
+163-56-7055,C,Naypyitaw,Member,Male,Fashion accessories,48.71,1,2.4355,51.1455,3/26/2019,19:20,Cash,48.71,4.761904762,2.4355,4.1
+189-98-2939,C,Naypyitaw,Normal,Male,Fashion accessories,78.55,9,35.3475,742.2975,3/1/2019,13:22,Cash,706.95,4.761904762,35.3475,7.2
+551-21-3069,C,Naypyitaw,Normal,Female,Electronic accessories,23.07,9,10.3815,218.0115,2/1/2019,11:27,Cash,207.63,4.761904762,10.3815,4.9
+212-62-1842,A,Yangon,Normal,Male,Food and beverages,58.26,6,17.478,367.038,3/28/2019,16:44,Cash,349.56,4.761904762,17.478,9.9
+716-39-1409,B,Mandalay,Normal,Male,Health and beauty,30.35,7,10.6225,223.0725,3/19/2019,18:19,Cash,212.45,4.761904762,10.6225,8
+704-48-3927,A,Yangon,Member,Male,Electronic accessories,88.67,10,44.335,931.035,1/12/2019,14:50,Ewallet,886.7,4.761904762,44.335,7.3
+628-34-3388,C,Naypyitaw,Normal,Male,Fashion accessories,27.38,6,8.214,172.494,1/5/2019,20:54,Credit card,164.28,4.761904762,8.214,7.9
+630-74-5166,A,Yangon,Normal,Male,Sports and travel,62.13,6,18.639,391.419,3/22/2019,20:19,Cash,372.78,4.761904762,18.639,7.4
+588-01-7461,C,Naypyitaw,Normal,Female,Food and beverages,33.98,9,15.291,321.111,3/24/2019,10:43,Cash,305.82,4.761904762,15.291,4.2
+861-77-0145,C,Naypyitaw,Member,Male,Electronic accessories,81.97,10,40.985,860.685,3/3/2019,14:30,Cash,819.7,4.761904762,40.985,9.2
+479-26-8945,B,Mandalay,Member,Female,Sports and travel,16.49,2,1.649,34.629,2/5/2019,11:32,Ewallet,32.98,4.761904762,1.649,4.6
+210-67-5886,C,Naypyitaw,Member,Female,Health and beauty,98.21,3,14.7315,309.3615,2/5/2019,10:41,Credit card,294.63,4.761904762,14.7315,7.8
+227-78-1148,B,Mandalay,Normal,Female,Fashion accessories,72.84,7,25.494,535.374,2/15/2019,12:44,Cash,509.88,4.761904762,25.494,8.4
+645-44-1170,A,Yangon,Member,Male,Home and lifestyle,58.07,9,26.1315,548.7615,1/19/2019,20:07,Ewallet,522.63,4.761904762,26.1315,4.3
+237-01-6122,C,Naypyitaw,Member,Female,Home and lifestyle,80.79,9,36.3555,763.4655,2/1/2019,20:31,Credit card,727.11,4.761904762,36.3555,9.5
+225-98-1496,C,Naypyitaw,Normal,Female,Fashion accessories,27.02,3,4.053,85.113,3/2/2019,13:01,Credit card,81.06,4.761904762,4.053,7.1
+291-32-1427,B,Mandalay,Member,Male,Fashion accessories,21.94,5,5.485,115.185,3/5/2019,12:29,Ewallet,109.7,4.761904762,5.485,5.3
+659-65-8956,B,Mandalay,Member,Male,Fashion accessories,51.36,1,2.568,53.928,1/16/2019,15:26,Ewallet,51.36,4.761904762,2.568,5.2
+642-32-2990,A,Yangon,Normal,Female,Food and beverages,10.96,10,5.48,115.08,2/2/2019,20:48,Ewallet,109.6,4.761904762,5.48,6
+378-24-2715,B,Mandalay,Normal,Male,Home and lifestyle,53.44,2,5.344,112.224,1/20/2019,20:38,Ewallet,106.88,4.761904762,5.344,4.1
+638-60-7125,A,Yangon,Normal,Female,Electronic accessories,99.56,8,39.824,836.304,2/14/2019,17:03,Credit card,796.48,4.761904762,39.824,5.2
+659-36-1684,C,Naypyitaw,Member,Male,Sports and travel,57.12,7,19.992,419.832,1/12/2019,12:02,Credit card,399.84,4.761904762,19.992,6.5
+219-22-9386,B,Mandalay,Member,Male,Sports and travel,99.96,9,44.982,944.622,3/9/2019,17:26,Credit card,899.64,4.761904762,44.982,4.2
+336-78-2147,C,Naypyitaw,Member,Male,Home and lifestyle,63.91,8,25.564,536.844,3/13/2019,19:52,Credit card,511.28,4.761904762,25.564,4.6
+268-27-6179,B,Mandalay,Member,Female,Fashion accessories,56.47,8,22.588,474.348,3/9/2019,14:57,Ewallet,451.76,4.761904762,22.588,7.3
+668-90-8900,A,Yangon,Normal,Female,Home and lifestyle,93.69,7,32.7915,688.6215,3/10/2019,18:44,Credit card,655.83,4.761904762,32.7915,4.5
+870-54-3162,A,Yangon,Normal,Female,Sports and travel,32.25,5,8.0625,169.3125,1/27/2019,13:26,Cash,161.25,4.761904762,8.0625,9
+189-08-9157,C,Naypyitaw,Normal,Female,Fashion accessories,31.73,9,14.2785,299.8485,1/8/2019,16:17,Credit card,285.57,4.761904762,14.2785,5.9
+663-86-9076,C,Naypyitaw,Member,Female,Food and beverages,68.54,8,27.416,575.736,1/8/2019,15:57,Ewallet,548.32,4.761904762,27.416,8.5
+549-84-7482,B,Mandalay,Normal,Female,Sports and travel,90.28,9,40.626,853.146,2/8/2019,11:15,Ewallet,812.52,4.761904762,40.626,7.2
+191-10-6171,B,Mandalay,Normal,Female,Fashion accessories,39.62,7,13.867,291.207,1/25/2019,13:18,Cash,277.34,4.761904762,13.867,7.5
+802-70-5316,A,Yangon,Member,Female,Sports and travel,92.13,6,27.639,580.419,3/6/2019,20:34,Cash,552.78,4.761904762,27.639,8.3
+695-51-0018,B,Mandalay,Normal,Female,Sports and travel,34.84,4,6.968,146.328,2/10/2019,18:36,Cash,139.36,4.761904762,6.968,7.4
+590-83-4591,B,Mandalay,Member,Male,Electronic accessories,87.45,6,26.235,550.935,2/17/2019,14:40,Credit card,524.7,4.761904762,26.235,8.8
+483-71-1164,C,Naypyitaw,Normal,Female,Health and beauty,81.3,6,24.39,512.19,3/8/2019,16:43,Ewallet,487.8,4.761904762,24.39,5.3
+597-78-7908,C,Naypyitaw,Normal,Male,Fashion accessories,90.22,3,13.533,284.193,2/18/2019,19:39,Cash,270.66,4.761904762,13.533,6.2
+700-81-1757,A,Yangon,Normal,Female,Electronic accessories,26.31,5,6.5775,138.1275,1/18/2019,20:59,Credit card,131.55,4.761904762,6.5775,8.8
+354-39-5160,A,Yangon,Member,Female,Home and lifestyle,34.42,6,10.326,216.846,2/18/2019,15:39,Cash,206.52,4.761904762,10.326,9.8
+241-72-9525,B,Mandalay,Normal,Male,Sports and travel,51.91,10,25.955,545.055,2/16/2019,12:21,Cash,519.1,4.761904762,25.955,8.2
+575-30-8091,A,Yangon,Normal,Male,Sports and travel,72.5,8,29,609,3/16/2019,19:25,Ewallet,580,4.761904762,29,9.2
+731-81-9469,C,Naypyitaw,Member,Female,Sports and travel,89.8,10,44.9,942.9,1/23/2019,13:00,Credit card,898,4.761904762,44.9,5.4
+280-17-4359,C,Naypyitaw,Member,Male,Health and beauty,90.5,10,45.25,950.25,1/25/2019,13:48,Cash,905,4.761904762,45.25,8.1
+338-65-2210,C,Naypyitaw,Member,Female,Health and beauty,68.6,10,34.3,720.3,2/5/2019,19:57,Cash,686,4.761904762,34.3,9.1
+488-25-4221,C,Naypyitaw,Member,Female,Food and beverages,30.41,1,1.5205,31.9305,2/22/2019,10:36,Credit card,30.41,4.761904762,1.5205,8.4
+239-10-7476,A,Yangon,Normal,Female,Home and lifestyle,77.95,6,23.385,491.085,1/21/2019,16:37,Ewallet,467.7,4.761904762,23.385,8
+458-41-1477,C,Naypyitaw,Normal,Female,Health and beauty,46.26,6,13.878,291.438,3/8/2019,17:11,Credit card,277.56,4.761904762,13.878,9.5
+685-64-1609,A,Yangon,Member,Female,Fashion accessories,30.14,10,15.07,316.47,2/10/2019,12:28,Ewallet,301.4,4.761904762,15.07,9.2
+568-90-5112,C,Naypyitaw,Normal,Male,Health and beauty,66.14,4,13.228,277.788,3/19/2019,12:46,Credit card,264.56,4.761904762,13.228,5.6
+262-47-2794,B,Mandalay,Member,Male,Home and lifestyle,71.86,8,28.744,603.624,3/6/2019,15:07,Credit card,574.88,4.761904762,28.744,6.2
+238-49-0436,A,Yangon,Normal,Male,Health and beauty,32.46,8,12.984,272.664,3/27/2019,13:48,Credit card,259.68,4.761904762,12.984,4.9
+608-96-3517,B,Mandalay,Member,Female,Fashion accessories,91.54,4,18.308,384.468,3/23/2019,19:20,Credit card,366.16,4.761904762,18.308,4.8
+584-86-7256,C,Naypyitaw,Member,Male,Sports and travel,34.56,7,12.096,254.016,3/11/2019,16:07,Credit card,241.92,4.761904762,12.096,7.3
+746-94-0204,A,Yangon,Normal,Male,Fashion accessories,83.24,9,37.458,786.618,1/29/2019,11:56,Credit card,749.16,4.761904762,37.458,7.4
+214-17-6927,C,Naypyitaw,Normal,Female,Food and beverages,16.48,6,4.944,103.824,2/7/2019,18:23,Ewallet,98.88,4.761904762,4.944,9.9
+400-89-4171,C,Naypyitaw,Normal,Female,Sports and travel,80.97,8,32.388,680.148,1/28/2019,13:05,Cash,647.76,4.761904762,32.388,9.3
+782-95-9291,A,Yangon,Member,Male,Food and beverages,92.29,5,23.0725,484.5225,2/20/2019,15:55,Credit card,461.45,4.761904762,23.0725,9
+279-74-2924,B,Mandalay,Member,Male,Electronic accessories,72.17,1,3.6085,75.7785,1/4/2019,19:40,Cash,72.17,4.761904762,3.6085,6.1
+307-85-2293,B,Mandalay,Normal,Male,Home and lifestyle,50.28,5,12.57,263.97,3/7/2019,13:58,Ewallet,251.4,4.761904762,12.57,9.7
+743-04-1105,B,Mandalay,Member,Male,Health and beauty,97.22,9,43.749,918.729,3/30/2019,14:43,Ewallet,874.98,4.761904762,43.749,6
+423-57-2993,B,Mandalay,Normal,Male,Sports and travel,93.39,6,28.017,588.357,3/27/2019,19:18,Ewallet,560.34,4.761904762,28.017,10
+894-41-5205,C,Naypyitaw,Normal,Female,Food and beverages,43.18,8,17.272,362.712,1/19/2019,19:39,Credit card,345.44,4.761904762,17.272,8.3
+275-28-0149,A,Yangon,Normal,Male,Sports and travel,63.69,1,3.1845,66.8745,2/25/2019,16:21,Cash,63.69,4.761904762,3.1845,6
+101-17-6199,A,Yangon,Normal,Male,Food and beverages,45.79,7,16.0265,336.5565,3/13/2019,19:44,Credit card,320.53,4.761904762,16.0265,7
+423-80-0988,C,Naypyitaw,Normal,Male,Sports and travel,76.4,2,7.64,160.44,1/30/2019,19:42,Ewallet,152.8,4.761904762,7.64,6.5
+548-46-9322,B,Mandalay,Normal,Male,Food and beverages,39.9,10,19.95,418.95,2/20/2019,15:24,Credit card,399,4.761904762,19.95,5.9
+505-02-0892,B,Mandalay,Member,Male,Health and beauty,42.57,8,17.028,357.588,2/25/2019,14:12,Ewallet,340.56,4.761904762,17.028,5.6
+234-65-2137,C,Naypyitaw,Normal,Male,Home and lifestyle,95.58,10,47.79,1003.59,1/16/2019,13:32,Cash,955.8,4.761904762,47.79,4.8
+687-47-8271,A,Yangon,Normal,Male,Fashion accessories,98.98,10,49.49,1039.29,2/8/2019,16:20,Credit card,989.8,4.761904762,49.49,8.7
+796-32-9050,A,Yangon,Normal,Male,Food and beverages,51.28,6,15.384,323.064,1/19/2019,16:31,Cash,307.68,4.761904762,15.384,6.5
+105-31-1824,A,Yangon,Member,Male,Sports and travel,69.52,7,24.332,510.972,2/1/2019,15:10,Credit card,486.64,4.761904762,24.332,8.5
+249-42-3782,A,Yangon,Normal,Male,Health and beauty,70.01,5,17.5025,367.5525,1/3/2019,11:36,Ewallet,350.05,4.761904762,17.5025,5.5
+316-55-4634,B,Mandalay,Member,Male,Food and beverages,80.05,5,20.0125,420.2625,1/26/2019,12:45,Credit card,400.25,4.761904762,20.0125,9.4
+733-33-4967,C,Naypyitaw,Normal,Male,Electronic accessories,20.85,8,8.34,175.14,3/3/2019,19:17,Cash,166.8,4.761904762,8.34,6.3
+608-27-6295,B,Mandalay,Member,Male,Electronic accessories,52.89,6,15.867,333.207,1/19/2019,17:34,Credit card,317.34,4.761904762,15.867,9.8
+414-12-7047,B,Mandalay,Normal,Male,Food and beverages,19.79,8,7.916,166.236,1/18/2019,12:04,Ewallet,158.32,4.761904762,7.916,8.7
+827-26-2100,A,Yangon,Member,Male,Home and lifestyle,33.84,9,15.228,319.788,3/21/2019,16:21,Ewallet,304.56,4.761904762,15.228,8.8
+175-54-2529,A,Yangon,Member,Male,Food and beverages,22.17,8,8.868,186.228,3/3/2019,17:01,Credit card,177.36,4.761904762,8.868,9.6
+139-52-2867,C,Naypyitaw,Normal,Female,Fashion accessories,22.51,7,7.8785,165.4485,2/13/2019,10:50,Credit card,157.57,4.761904762,7.8785,4.8
+407-63-8975,A,Yangon,Normal,Male,Food and beverages,73.88,6,22.164,465.444,3/23/2019,19:16,Ewallet,443.28,4.761904762,22.164,4.4
+342-65-4817,C,Naypyitaw,Member,Male,Health and beauty,86.8,3,13.02,273.42,1/28/2019,16:47,Ewallet,260.4,4.761904762,13.02,9.9
+130-98-8941,C,Naypyitaw,Normal,Male,Fashion accessories,64.26,7,22.491,472.311,2/9/2019,10:00,Cash,449.82,4.761904762,22.491,5.7
+434-83-9547,C,Naypyitaw,Member,Male,Food and beverages,38.47,8,15.388,323.148,1/23/2019,11:51,Cash,307.76,4.761904762,15.388,7.7
+851-28-6367,A,Yangon,Member,Male,Sports and travel,15.5,10,7.75,162.75,3/23/2019,10:55,Ewallet,155,4.761904762,7.75,8
+824-88-3614,C,Naypyitaw,Normal,Male,Health and beauty,34.31,8,13.724,288.204,1/25/2019,15:00,Ewallet,274.48,4.761904762,13.724,5.7
+586-25-0848,A,Yangon,Normal,Female,Sports and travel,12.34,7,4.319,90.699,3/4/2019,11:19,Credit card,86.38,4.761904762,4.319,6.7
+895-66-0685,B,Mandalay,Member,Male,Food and beverages,18.08,3,2.712,56.952,3/5/2019,19:46,Ewallet,54.24,4.761904762,2.712,8
+305-14-0245,B,Mandalay,Member,Female,Home and lifestyle,94.49,8,37.796,793.716,3/3/2019,19:00,Ewallet,755.92,4.761904762,37.796,7.5
+732-04-5373,B,Mandalay,Member,Male,Home and lifestyle,46.47,4,9.294,195.174,2/8/2019,10:53,Cash,185.88,4.761904762,9.294,7
+400-60-7251,A,Yangon,Normal,Male,Home and lifestyle,74.07,1,3.7035,77.7735,2/10/2019,12:50,Ewallet,74.07,4.761904762,3.7035,9.9
+593-65-1552,C,Naypyitaw,Normal,Female,Home and lifestyle,69.81,4,13.962,293.202,1/28/2019,20:50,Credit card,279.24,4.761904762,13.962,5.9
+284-34-9626,B,Mandalay,Normal,Female,Home and lifestyle,77.04,3,11.556,242.676,2/11/2019,10:39,Credit card,231.12,4.761904762,11.556,7.2
+437-58-8131,B,Mandalay,Normal,Female,Fashion accessories,73.52,2,7.352,154.392,1/15/2019,13:41,Ewallet,147.04,4.761904762,7.352,4.6
+286-43-6208,C,Naypyitaw,Normal,Female,Food and beverages,87.8,9,39.51,829.71,3/16/2019,19:08,Cash,790.2,4.761904762,39.51,9.2
+641-43-2399,B,Mandalay,Normal,Male,Home and lifestyle,25.55,4,5.11,107.31,1/26/2019,20:23,Ewallet,102.2,4.761904762,5.11,5.7
+831-07-6050,A,Yangon,Normal,Male,Electronic accessories,32.71,5,8.1775,171.7275,3/19/2019,11:30,Credit card,163.55,4.761904762,8.1775,9.9
+556-86-3144,C,Naypyitaw,Member,Female,Fashion accessories,74.29,1,3.7145,78.0045,1/13/2019,19:30,Cash,74.29,4.761904762,3.7145,5
+848-24-9445,C,Naypyitaw,Member,Male,Health and beauty,43.7,2,4.37,91.77,3/26/2019,18:03,Cash,87.4,4.761904762,4.37,4.9
+856-22-8149,A,Yangon,Normal,Female,Home and lifestyle,25.29,1,1.2645,26.5545,3/23/2019,10:13,Ewallet,25.29,4.761904762,1.2645,6.1
+699-01-4164,C,Naypyitaw,Normal,Male,Health and beauty,41.5,4,8.3,174.3,3/12/2019,19:58,Credit card,166,4.761904762,8.3,8.2
+420-11-4919,C,Naypyitaw,Member,Female,Food and beverages,71.39,5,17.8475,374.7975,2/17/2019,19:57,Credit card,356.95,4.761904762,17.8475,5.5
+606-80-4905,C,Naypyitaw,Member,Female,Sports and travel,19.15,6,5.745,120.645,1/29/2019,10:01,Credit card,114.9,4.761904762,5.745,6.8
+542-41-0513,B,Mandalay,Member,Female,Electronic accessories,57.49,4,11.498,241.458,3/15/2019,11:57,Cash,229.96,4.761904762,11.498,6.6
+426-39-2418,C,Naypyitaw,Normal,Male,Electronic accessories,61.41,7,21.4935,451.3635,1/14/2019,10:02,Cash,429.87,4.761904762,21.4935,9.8
+875-46-5808,B,Mandalay,Member,Male,Health and beauty,25.9,10,12.95,271.95,2/6/2019,14:51,Ewallet,259,4.761904762,12.95,8.7
+394-43-4238,B,Mandalay,Member,Male,Home and lifestyle,17.77,5,4.4425,93.2925,2/15/2019,12:42,Credit card,88.85,4.761904762,4.4425,5.4
+749-24-1565,A,Yangon,Normal,Female,Health and beauty,23.03,9,10.3635,217.6335,1/3/2019,12:02,Ewallet,207.27,4.761904762,10.3635,7.9
+672-51-8681,C,Naypyitaw,Member,Female,Electronic accessories,66.65,9,29.9925,629.8425,1/4/2019,18:19,Credit card,599.85,4.761904762,29.9925,9.7
+263-87-5680,C,Naypyitaw,Member,Female,Home and lifestyle,28.53,10,14.265,299.565,3/18/2019,17:38,Ewallet,285.3,4.761904762,14.265,7.8
+573-58-9734,B,Mandalay,Normal,Female,Fashion accessories,30.37,3,4.5555,95.6655,3/28/2019,13:41,Ewallet,91.11,4.761904762,4.5555,5.1
+817-69-8206,B,Mandalay,Normal,Female,Electronic accessories,99.73,9,44.8785,942.4485,3/2/2019,19:42,Credit card,897.57,4.761904762,44.8785,6.5
+888-02-0338,A,Yangon,Normal,Male,Electronic accessories,26.23,9,11.8035,247.8735,1/25/2019,20:24,Ewallet,236.07,4.761904762,11.8035,5.9
+677-11-0152,C,Naypyitaw,Normal,Female,Food and beverages,93.26,9,41.967,881.307,1/16/2019,18:08,Cash,839.34,4.761904762,41.967,8.8
+142-63-6033,B,Mandalay,Normal,Male,Home and lifestyle,92.36,5,23.09,484.89,3/20/2019,19:17,Ewallet,461.8,4.761904762,23.09,4.9
+656-16-1063,B,Mandalay,Normal,Male,Sports and travel,46.42,3,6.963,146.223,1/4/2019,13:24,Credit card,139.26,4.761904762,6.963,4.4
+891-58-8335,B,Mandalay,Member,Female,Sports and travel,29.61,7,10.3635,217.6335,3/11/2019,15:53,Cash,207.27,4.761904762,10.3635,6.5
+802-43-8934,A,Yangon,Normal,Male,Home and lifestyle,18.28,1,0.914,19.194,3/22/2019,15:05,Credit card,18.28,4.761904762,0.914,8.3
+560-30-5617,B,Mandalay,Normal,Female,Sports and travel,24.77,5,6.1925,130.0425,3/24/2019,18:27,Cash,123.85,4.761904762,6.1925,8.5
+319-74-2561,A,Yangon,Member,Female,Electronic accessories,94.64,3,14.196,298.116,2/21/2019,16:55,Cash,283.92,4.761904762,14.196,5.5
+549-03-9315,B,Mandalay,Normal,Male,Fashion accessories,94.87,8,37.948,796.908,2/12/2019,12:58,Ewallet,758.96,4.761904762,37.948,8.7
+790-29-1172,B,Mandalay,Normal,Female,Food and beverages,57.34,3,8.601,180.621,3/10/2019,18:59,Credit card,172.02,4.761904762,8.601,7.9
+239-36-3640,B,Mandalay,Normal,Male,Electronic accessories,45.35,6,13.605,285.705,1/31/2019,13:44,Ewallet,272.1,4.761904762,13.605,6.1
+468-01-2051,B,Mandalay,Normal,Male,Food and beverages,62.08,7,21.728,456.288,3/6/2019,13:46,Ewallet,434.56,4.761904762,21.728,5.4
+389-25-3394,C,Naypyitaw,Normal,Male,Electronic accessories,11.81,5,2.9525,62.0025,2/17/2019,18:06,Cash,59.05,4.761904762,2.9525,9.4
+279-62-1445,C,Naypyitaw,Member,Female,Fashion accessories,12.54,1,0.627,13.167,2/21/2019,12:38,Cash,12.54,4.761904762,0.627,8.2
+213-72-6612,A,Yangon,Normal,Male,Food and beverages,43.25,2,4.325,90.825,3/20/2019,15:56,Cash,86.5,4.761904762,4.325,6.2
+746-68-6593,C,Naypyitaw,Member,Female,Sports and travel,87.16,2,8.716,183.036,1/11/2019,14:29,Credit card,174.32,4.761904762,8.716,9.7
+836-82-5858,B,Mandalay,Member,Male,Health and beauty,69.37,9,31.2165,655.5465,1/26/2019,19:14,Ewallet,624.33,4.761904762,31.2165,4
+583-72-1480,C,Naypyitaw,Member,Male,Electronic accessories,37.06,4,7.412,155.652,1/31/2019,16:24,Ewallet,148.24,4.761904762,7.412,9.7
+466-61-5506,B,Mandalay,Member,Female,Electronic accessories,90.7,6,27.21,571.41,2/26/2019,10:52,Cash,544.2,4.761904762,27.21,5.3
+721-86-6247,A,Yangon,Normal,Female,Home and lifestyle,63.42,8,25.368,532.728,3/11/2019,12:55,Ewallet,507.36,4.761904762,25.368,7.4
+289-65-5721,B,Mandalay,Normal,Female,Fashion accessories,81.37,2,8.137,170.877,1/26/2019,19:28,Cash,162.74,4.761904762,8.137,6.5
+545-46-3100,B,Mandalay,Member,Female,Electronic accessories,10.59,3,1.5885,33.3585,3/12/2019,13:52,Credit card,31.77,4.761904762,1.5885,8.7
+418-02-5978,B,Mandalay,Normal,Female,Health and beauty,84.09,9,37.8405,794.6505,2/11/2019,10:54,Cash,756.81,4.761904762,37.8405,8
+269-04-5750,B,Mandalay,Member,Male,Fashion accessories,73.82,4,14.764,310.044,2/21/2019,18:31,Cash,295.28,4.761904762,14.764,6.7
+157-13-5295,A,Yangon,Member,Male,Health and beauty,51.94,10,25.97,545.37,3/9/2019,18:24,Ewallet,519.4,4.761904762,25.97,6.5
+645-78-8093,A,Yangon,Normal,Female,Sports and travel,93.14,2,9.314,195.594,1/20/2019,18:09,Ewallet,186.28,4.761904762,9.314,4.1
+211-30-9270,C,Naypyitaw,Normal,Male,Health and beauty,17.41,5,4.3525,91.4025,1/28/2019,15:16,Credit card,87.05,4.761904762,4.3525,4.9
+755-12-3214,C,Naypyitaw,Member,Female,Fashion accessories,44.22,5,11.055,232.155,3/5/2019,17:07,Credit card,221.1,4.761904762,11.055,8.6
+346-84-3103,B,Mandalay,Member,Female,Electronic accessories,13.22,5,3.305,69.405,3/2/2019,19:26,Cash,66.1,4.761904762,3.305,4.3
+478-06-7835,A,Yangon,Normal,Male,Fashion accessories,89.69,1,4.4845,94.1745,1/11/2019,11:20,Ewallet,89.69,4.761904762,4.4845,4.9
+540-11-4336,A,Yangon,Normal,Male,Food and beverages,24.94,9,11.223,235.683,1/11/2019,16:49,Credit card,224.46,4.761904762,11.223,5.6
+448-81-5016,A,Yangon,Normal,Male,Health and beauty,59.77,2,5.977,125.517,3/11/2019,12:01,Credit card,119.54,4.761904762,5.977,5.8
+142-72-4741,C,Naypyitaw,Member,Male,Fashion accessories,93.2,2,9.32,195.72,2/28/2019,18:37,Credit card,186.4,4.761904762,9.32,6
+217-58-1179,A,Yangon,Member,Male,Home and lifestyle,62.65,4,12.53,263.13,1/5/2019,11:25,Cash,250.6,4.761904762,12.53,4.2
+376-02-8238,B,Mandalay,Normal,Male,Home and lifestyle,93.87,8,37.548,788.508,2/2/2019,18:42,Credit card,750.96,4.761904762,37.548,8.3
+530-90-9855,A,Yangon,Member,Male,Home and lifestyle,47.59,8,19.036,399.756,1/1/2019,14:47,Cash,380.72,4.761904762,19.036,5.7
+866-05-7563,B,Mandalay,Member,Female,Electronic accessories,81.4,3,12.21,256.41,2/9/2019,19:43,Cash,244.2,4.761904762,12.21,4.8
+604-70-6476,A,Yangon,Member,Male,Fashion accessories,17.94,5,4.485,94.185,1/23/2019,14:04,Ewallet,89.7,4.761904762,4.485,6.8
+799-71-1548,A,Yangon,Member,Male,Electronic accessories,77.72,4,15.544,326.424,1/7/2019,16:11,Credit card,310.88,4.761904762,15.544,8.8
+785-13-7708,B,Mandalay,Normal,Male,Food and beverages,73.06,7,25.571,536.991,1/14/2019,19:06,Credit card,511.42,4.761904762,25.571,4.2
+845-51-0542,B,Mandalay,Member,Male,Food and beverages,46.55,9,20.9475,439.8975,2/2/2019,15:34,Ewallet,418.95,4.761904762,20.9475,6.4
+662-47-5456,C,Naypyitaw,Member,Male,Fashion accessories,35.19,10,17.595,369.495,3/17/2019,19:06,Credit card,351.9,4.761904762,17.595,8.4
+883-17-4236,C,Naypyitaw,Normal,Female,Sports and travel,14.39,2,1.439,30.219,3/2/2019,19:44,Credit card,28.78,4.761904762,1.439,7.2
+290-68-2984,A,Yangon,Normal,Male,Home and lifestyle,23.75,4,4.75,99.75,3/16/2019,11:22,Cash,95,4.761904762,4.75,5.2
+704-11-6354,A,Yangon,Member,Male,Home and lifestyle,58.9,8,23.56,494.76,1/6/2019,11:23,Cash,471.2,4.761904762,23.56,8.9
+110-48-7033,B,Mandalay,Member,Male,Fashion accessories,32.62,4,6.524,137.004,1/29/2019,14:12,Cash,130.48,4.761904762,6.524,9
+366-93-0948,A,Yangon,Member,Male,Electronic accessories,66.35,1,3.3175,69.6675,1/31/2019,10:46,Credit card,66.35,4.761904762,3.3175,9.7
+729-09-9681,A,Yangon,Member,Male,Home and lifestyle,25.91,6,7.773,163.233,2/5/2019,10:16,Ewallet,155.46,4.761904762,7.773,8.7
+151-16-1484,A,Yangon,Member,Male,Electronic accessories,32.25,4,6.45,135.45,2/13/2019,12:38,Ewallet,129,4.761904762,6.45,6.5
+380-94-4661,C,Naypyitaw,Member,Male,Electronic accessories,65.94,4,13.188,276.948,2/7/2019,13:05,Credit card,263.76,4.761904762,13.188,6.9
+850-41-9669,A,Yangon,Normal,Female,Electronic accessories,75.06,9,33.777,709.317,3/19/2019,13:25,Ewallet,675.54,4.761904762,33.777,6.2
+821-07-3596,C,Naypyitaw,Normal,Female,Fashion accessories,16.45,4,3.29,69.09,3/7/2019,14:53,Ewallet,65.8,4.761904762,3.29,5.6
+655-85-5130,B,Mandalay,Member,Female,Fashion accessories,38.3,4,7.66,160.86,3/13/2019,19:22,Cash,153.2,4.761904762,7.66,5.7
+447-15-7839,A,Yangon,Member,Female,Sports and travel,22.24,10,11.12,233.52,2/9/2019,11:00,Cash,222.4,4.761904762,11.12,4.2
+154-74-7179,B,Mandalay,Normal,Male,Sports and travel,54.45,1,2.7225,57.1725,2/26/2019,19:24,Ewallet,54.45,4.761904762,2.7225,7.9
+253-12-6086,A,Yangon,Member,Female,Sports and travel,98.4,7,34.44,723.24,3/12/2019,12:43,Credit card,688.8,4.761904762,34.44,8.7
+808-65-0703,C,Naypyitaw,Normal,Male,Home and lifestyle,35.47,4,7.094,148.974,3/14/2019,17:22,Credit card,141.88,4.761904762,7.094,6.9
+571-94-0759,B,Mandalay,Member,Female,Food and beverages,74.6,10,37.3,783.3,1/8/2019,20:55,Cash,746,4.761904762,37.3,9.5
+144-51-6085,A,Yangon,Member,Male,Home and lifestyle,70.74,4,14.148,297.108,1/5/2019,16:05,Credit card,282.96,4.761904762,14.148,4.4
+731-14-2199,A,Yangon,Member,Female,Home and lifestyle,35.54,10,17.77,373.17,1/4/2019,13:34,Ewallet,355.4,4.761904762,17.77,7
+783-09-1637,B,Mandalay,Normal,Female,Sports and travel,67.43,5,16.8575,354.0075,3/6/2019,18:13,Ewallet,337.15,4.761904762,16.8575,6.3
+687-15-1097,C,Naypyitaw,Member,Female,Health and beauty,21.12,2,2.112,44.352,1/3/2019,19:17,Cash,42.24,4.761904762,2.112,9.7
+126-54-1082,A,Yangon,Member,Female,Home and lifestyle,21.54,9,9.693,203.553,1/7/2019,11:44,Credit card,193.86,4.761904762,9.693,8.8
+633-91-1052,A,Yangon,Normal,Female,Home and lifestyle,12.03,2,1.203,25.263,1/27/2019,15:51,Cash,24.06,4.761904762,1.203,5.1
+477-24-6490,B,Mandalay,Normal,Female,Health and beauty,99.71,6,29.913,628.173,2/26/2019,16:52,Ewallet,598.26,4.761904762,29.913,7.9
+566-19-5475,B,Mandalay,Normal,Male,Fashion accessories,47.97,7,16.7895,352.5795,1/7/2019,20:52,Cash,335.79,4.761904762,16.7895,6.2
+526-86-8552,C,Naypyitaw,Member,Female,Home and lifestyle,21.82,10,10.91,229.11,1/7/2019,17:36,Cash,218.2,4.761904762,10.91,7.1
+376-56-3573,C,Naypyitaw,Normal,Female,Fashion accessories,95.42,4,19.084,400.764,2/2/2019,13:23,Ewallet,381.68,4.761904762,19.084,6.4
+537-72-0426,C,Naypyitaw,Member,Male,Fashion accessories,70.99,10,35.495,745.395,3/20/2019,16:28,Cash,709.9,4.761904762,35.495,5.7
+828-61-5674,A,Yangon,Member,Male,Sports and travel,44.02,10,22.01,462.21,3/20/2019,19:57,Credit card,440.2,4.761904762,22.01,9.6
+136-08-6195,A,Yangon,Normal,Female,Home and lifestyle,69.96,8,27.984,587.664,2/15/2019,17:01,Credit card,559.68,4.761904762,27.984,6.4
+523-38-0215,C,Naypyitaw,Normal,Male,Home and lifestyle,37,1,1.85,38.85,3/6/2019,13:29,Credit card,37,4.761904762,1.85,7.9
+490-29-1201,A,Yangon,Normal,Female,Sports and travel,15.34,1,0.767,16.107,1/6/2019,11:09,Cash,15.34,4.761904762,0.767,6.5
+667-92-0055,A,Yangon,Member,Male,Health and beauty,99.83,6,29.949,628.929,3/4/2019,15:02,Ewallet,598.98,4.761904762,29.949,8.5
+565-17-3836,A,Yangon,Member,Female,Health and beauty,47.67,4,9.534,200.214,3/12/2019,14:21,Cash,190.68,4.761904762,9.534,9.1
+498-41-1961,B,Mandalay,Normal,Male,Health and beauty,66.68,5,16.67,350.07,2/20/2019,18:01,Cash,333.4,4.761904762,16.67,7.6
+593-95-4461,C,Naypyitaw,Member,Male,Home and lifestyle,74.86,1,3.743,78.603,3/24/2019,14:49,Cash,74.86,4.761904762,3.743,6.9
+226-71-3580,C,Naypyitaw,Normal,Female,Sports and travel,23.75,9,10.6875,224.4375,1/31/2019,12:02,Cash,213.75,4.761904762,10.6875,9.5
+283-79-9594,B,Mandalay,Normal,Female,Food and beverages,48.51,7,16.9785,356.5485,1/25/2019,13:30,Credit card,339.57,4.761904762,16.9785,5.2
+430-60-3493,A,Yangon,Member,Female,Home and lifestyle,94.88,7,33.208,697.368,2/3/2019,14:38,Cash,664.16,4.761904762,33.208,4.2
+139-20-0155,B,Mandalay,Member,Male,Electronic accessories,40.3,10,20.15,423.15,1/24/2019,17:37,Credit card,403,4.761904762,20.15,7
+558-80-4082,C,Naypyitaw,Normal,Male,Electronic accessories,27.85,7,9.7475,204.6975,3/14/2019,17:20,Ewallet,194.95,4.761904762,9.7475,6
+278-97-7759,A,Yangon,Member,Female,Electronic accessories,62.48,1,3.124,65.604,2/18/2019,20:29,Cash,62.48,4.761904762,3.124,4.7
+316-68-6352,A,Yangon,Member,Female,Food and beverages,36.36,2,3.636,76.356,1/21/2019,10:00,Cash,72.72,4.761904762,3.636,7.1
+585-03-5943,B,Mandalay,Normal,Male,Health and beauty,18.11,10,9.055,190.155,3/13/2019,11:46,Ewallet,181.1,4.761904762,9.055,5.9
+211-05-0490,C,Naypyitaw,Member,Female,Electronic accessories,51.92,5,12.98,272.58,3/3/2019,13:42,Cash,259.6,4.761904762,12.98,7.5
+727-75-6477,C,Naypyitaw,Normal,Male,Electronic accessories,28.84,4,5.768,121.128,3/29/2019,14:44,Cash,115.36,4.761904762,5.768,6.4
+744-02-5987,A,Yangon,Member,Male,Home and lifestyle,78.38,6,23.514,493.794,1/10/2019,14:16,Ewallet,470.28,4.761904762,23.514,5.8
+307-83-9164,A,Yangon,Member,Male,Home and lifestyle,60.01,4,12.002,252.042,1/25/2019,15:54,Cash,240.04,4.761904762,12.002,4.5
+779-06-0012,C,Naypyitaw,Member,Female,Home and lifestyle,88.61,1,4.4305,93.0405,1/19/2019,10:21,Cash,88.61,4.761904762,4.4305,7.7
+446-47-6729,C,Naypyitaw,Normal,Male,Fashion accessories,99.82,2,9.982,209.622,1/2/2019,18:09,Credit card,199.64,4.761904762,9.982,6.7
+573-10-3877,B,Mandalay,Member,Male,Health and beauty,39.01,1,1.9505,40.9605,3/12/2019,16:46,Credit card,39.01,4.761904762,1.9505,4.7
+735-06-4124,C,Naypyitaw,Normal,Male,Food and beverages,48.61,1,2.4305,51.0405,2/25/2019,15:31,Cash,48.61,4.761904762,2.4305,4.4
+439-54-7422,A,Yangon,Normal,Female,Electronic accessories,51.19,4,10.238,214.998,3/18/2019,17:15,Credit card,204.76,4.761904762,10.238,4.7
+396-90-2219,B,Mandalay,Normal,Female,Electronic accessories,14.96,8,5.984,125.664,2/23/2019,12:29,Cash,119.68,4.761904762,5.984,8.6
+411-77-0180,A,Yangon,Member,Male,Electronic accessories,72.2,7,25.27,530.67,3/26/2019,20:14,Ewallet,505.4,4.761904762,25.27,4.3
+286-01-5402,A,Yangon,Normal,Female,Sports and travel,40.23,7,14.0805,295.6905,3/30/2019,13:22,Cash,281.61,4.761904762,14.0805,9.6
+803-17-8013,A,Yangon,Member,Female,Home and lifestyle,88.79,8,35.516,745.836,2/17/2019,17:09,Cash,710.32,4.761904762,35.516,4.1
+512-98-1403,A,Yangon,Member,Female,Electronic accessories,26.48,3,3.972,83.412,3/21/2019,10:40,Ewallet,79.44,4.761904762,3.972,4.7
+848-42-2560,A,Yangon,Normal,Female,Fashion accessories,81.91,2,8.191,172.011,3/5/2019,17:43,Cash,163.82,4.761904762,8.191,7.8
+532-59-7201,B,Mandalay,Member,Male,Sports and travel,79.93,6,23.979,503.559,1/31/2019,14:04,Cash,479.58,4.761904762,23.979,5.5
+181-94-6432,C,Naypyitaw,Member,Male,Fashion accessories,69.33,2,6.933,145.593,2/5/2019,19:05,Ewallet,138.66,4.761904762,6.933,9.7
+870-76-1733,A,Yangon,Member,Female,Food and beverages,14.23,5,3.5575,74.7075,2/1/2019,10:08,Credit card,71.15,4.761904762,3.5575,4.4
+423-64-4619,A,Yangon,Member,Female,Health and beauty,15.55,9,6.9975,146.9475,3/7/2019,13:12,Cash,139.95,4.761904762,6.9975,5
+227-07-4446,C,Naypyitaw,Member,Female,Electronic accessories,78.13,10,39.065,820.365,2/10/2019,20:51,Cash,781.3,4.761904762,39.065,4.4
+174-36-3675,C,Naypyitaw,Member,Male,Food and beverages,99.37,2,9.937,208.677,2/14/2019,17:29,Cash,198.74,4.761904762,9.937,5.2
+428-83-5800,C,Naypyitaw,Member,Female,Food and beverages,21.08,3,3.162,66.402,2/9/2019,10:25,Cash,63.24,4.761904762,3.162,7.3
+603-07-0961,C,Naypyitaw,Member,Male,Electronic accessories,74.79,5,18.6975,392.6475,1/10/2019,11:34,Cash,373.95,4.761904762,18.6975,4.9
+704-20-4138,C,Naypyitaw,Member,Female,Health and beauty,29.67,7,10.3845,218.0745,3/11/2019,18:58,Credit card,207.69,4.761904762,10.3845,8.1
+787-15-1757,C,Naypyitaw,Member,Male,Health and beauty,44.07,4,8.814,185.094,2/18/2019,16:28,Ewallet,176.28,4.761904762,8.814,8.4
+649-11-3678,C,Naypyitaw,Normal,Female,Food and beverages,22.93,9,10.3185,216.6885,2/26/2019,20:26,Cash,206.37,4.761904762,10.3185,5.5
+622-20-1945,C,Naypyitaw,Normal,Female,Health and beauty,39.42,1,1.971,41.391,1/18/2019,15:08,Cash,39.42,4.761904762,1.971,8.4
+372-94-8041,A,Yangon,Normal,Male,Health and beauty,15.26,6,4.578,96.138,2/15/2019,18:03,Ewallet,91.56,4.761904762,4.578,9.8
+563-91-7120,A,Yangon,Normal,Female,Fashion accessories,61.77,5,15.4425,324.2925,3/8/2019,13:21,Cash,308.85,4.761904762,15.4425,6.7
+746-54-5508,A,Yangon,Normal,Male,Home and lifestyle,21.52,6,6.456,135.576,1/17/2019,12:48,Credit card,129.12,4.761904762,6.456,9.4
+276-54-0879,B,Mandalay,Normal,Male,Sports and travel,97.74,4,19.548,410.508,3/12/2019,19:53,Ewallet,390.96,4.761904762,19.548,6.4
+815-11-1168,A,Yangon,Member,Male,Food and beverages,99.78,5,24.945,523.845,3/9/2019,19:09,Cash,498.9,4.761904762,24.945,5.4
+719-76-3868,C,Naypyitaw,Member,Male,Food and beverages,94.26,4,18.852,395.892,3/12/2019,16:30,Cash,377.04,4.761904762,18.852,8.6
+730-61-8757,B,Mandalay,Member,Male,Health and beauty,51.13,4,10.226,214.746,1/25/2019,10:11,Credit card,204.52,4.761904762,10.226,4
+340-66-0321,A,Yangon,Member,Male,Electronic accessories,36.36,4,7.272,152.712,3/25/2019,13:07,Cash,145.44,4.761904762,7.272,7.6
+868-81-1752,B,Mandalay,Normal,Male,Home and lifestyle,22.02,9,9.909,208.089,2/7/2019,18:48,Cash,198.18,4.761904762,9.909,6.8
+634-97-8956,A,Yangon,Normal,Male,Food and beverages,32.9,3,4.935,103.635,2/17/2019,17:27,Credit card,98.7,4.761904762,4.935,9.1
+566-71-1091,A,Yangon,Normal,Male,Fashion accessories,77.02,5,19.255,404.355,2/3/2019,15:59,Cash,385.1,4.761904762,19.255,5.5
+442-48-3607,A,Yangon,Member,Male,Food and beverages,23.48,2,2.348,49.308,3/14/2019,11:21,Credit card,46.96,4.761904762,2.348,7.9
+835-16-0096,C,Naypyitaw,Member,Male,Sports and travel,14.7,5,3.675,77.175,3/24/2019,13:48,Ewallet,73.5,4.761904762,3.675,8.5
+527-09-6272,A,Yangon,Member,Female,Electronic accessories,28.45,5,7.1125,149.3625,3/21/2019,10:17,Credit card,142.25,4.761904762,7.1125,9.1
+898-04-2717,A,Yangon,Normal,Male,Fashion accessories,76.4,9,34.38,721.98,3/19/2019,15:49,Ewallet,687.6,4.761904762,34.38,7.5
+692-27-8933,B,Mandalay,Normal,Female,Sports and travel,57.95,6,17.385,365.085,2/24/2019,13:02,Cash,347.7,4.761904762,17.385,5.2
+633-09-3463,C,Naypyitaw,Normal,Female,Electronic accessories,47.65,3,7.1475,150.0975,3/28/2019,12:58,Credit card,142.95,4.761904762,7.1475,9.5
+374-17-3652,B,Mandalay,Member,Female,Food and beverages,42.82,9,19.269,404.649,2/5/2019,15:26,Credit card,385.38,4.761904762,19.269,8.9
+378-07-7001,B,Mandalay,Member,Male,Electronic accessories,48.09,3,7.2135,151.4835,2/10/2019,18:23,Credit card,144.27,4.761904762,7.2135,7.8
+433-75-6987,B,Mandalay,Member,Female,Health and beauty,55.97,7,19.5895,411.3795,3/5/2019,19:06,Ewallet,391.79,4.761904762,19.5895,8.9
+873-95-4984,B,Mandalay,Member,Female,Health and beauty,76.9,7,26.915,565.215,2/15/2019,20:21,Cash,538.3,4.761904762,26.915,7.7
+416-13-5917,C,Naypyitaw,Normal,Female,Food and beverages,97.03,5,24.2575,509.4075,1/30/2019,16:24,Ewallet,485.15,4.761904762,24.2575,9.3
+150-89-8043,A,Yangon,Normal,Male,Sports and travel,44.65,3,6.6975,140.6475,2/14/2019,15:04,Cash,133.95,4.761904762,6.6975,6.2
+135-84-8019,A,Yangon,Normal,Female,Fashion accessories,77.93,9,35.0685,736.4385,2/27/2019,16:10,Ewallet,701.37,4.761904762,35.0685,7.6
+441-94-7118,A,Yangon,Member,Male,Electronic accessories,71.95,1,3.5975,75.5475,2/4/2019,12:14,Cash,71.95,4.761904762,3.5975,7.3
+725-96-3778,C,Naypyitaw,Member,Female,Home and lifestyle,89.25,8,35.7,749.7,1/20/2019,10:13,Cash,714,4.761904762,35.7,4.7
+531-80-1784,A,Yangon,Normal,Male,Electronic accessories,26.02,7,9.107,191.247,3/28/2019,17:38,Cash,182.14,4.761904762,9.107,5.1
+400-45-1220,B,Mandalay,Normal,Female,Health and beauty,13.5,10,6.75,141.75,2/27/2019,11:06,Credit card,135,4.761904762,6.75,4.8
+860-79-0874,C,Naypyitaw,Member,Female,Fashion accessories,99.3,10,49.65,1042.65,2/15/2019,14:53,Credit card,993,4.761904762,49.65,6.6
+834-61-8124,A,Yangon,Normal,Male,Electronic accessories,51.69,7,18.0915,379.9215,1/26/2019,18:22,Cash,361.83,4.761904762,18.0915,5.5
+115-99-4379,B,Mandalay,Member,Female,Fashion accessories,54.73,7,19.1555,402.2655,3/14/2019,19:02,Credit card,383.11,4.761904762,19.1555,8.5
+565-67-6697,B,Mandalay,Member,Male,Home and lifestyle,27,9,12.15,255.15,3/2/2019,14:16,Cash,243,4.761904762,12.15,4.8
+320-49-6392,C,Naypyitaw,Normal,Female,Electronic accessories,30.24,1,1.512,31.752,3/4/2019,15:44,Cash,30.24,4.761904762,1.512,8.4
+889-04-9723,B,Mandalay,Member,Female,Food and beverages,89.14,4,17.828,374.388,1/7/2019,12:20,Credit card,356.56,4.761904762,17.828,7.8
+632-90-0281,C,Naypyitaw,Normal,Female,Fashion accessories,37.55,10,18.775,394.275,3/8/2019,20:01,Credit card,375.5,4.761904762,18.775,9.3
+554-42-2417,C,Naypyitaw,Normal,Female,Sports and travel,95.44,10,47.72,1002.12,1/9/2019,13:45,Cash,954.4,4.761904762,47.72,5.2
+453-63-6187,B,Mandalay,Normal,Male,Electronic accessories,27.5,3,4.125,86.625,3/1/2019,15:40,Ewallet,82.5,4.761904762,4.125,6.5
+578-80-7669,B,Mandalay,Normal,Male,Sports and travel,74.97,1,3.7485,78.7185,3/16/2019,16:58,Cash,74.97,4.761904762,3.7485,5.6
+612-36-5536,A,Yangon,Member,Male,Food and beverages,80.96,8,32.384,680.064,2/17/2019,11:12,Credit card,647.68,4.761904762,32.384,7.4
+605-72-4132,C,Naypyitaw,Normal,Female,Food and beverages,94.47,8,37.788,793.548,2/27/2019,15:12,Cash,755.76,4.761904762,37.788,9.1
+471-41-2823,C,Naypyitaw,Normal,Male,Food and beverages,99.79,2,9.979,209.559,3/7/2019,20:37,Ewallet,199.58,4.761904762,9.979,8
+462-67-9126,A,Yangon,Normal,Male,Home and lifestyle,73.22,6,21.966,461.286,1/21/2019,17:44,Cash,439.32,4.761904762,21.966,7.2
+272-27-9238,C,Naypyitaw,Normal,Female,Food and beverages,41.24,4,8.248,173.208,2/19/2019,16:23,Cash,164.96,4.761904762,8.248,7.1
+834-25-9262,C,Naypyitaw,Normal,Female,Fashion accessories,81.68,4,16.336,343.056,1/6/2019,12:12,Cash,326.72,4.761904762,16.336,9.1
+122-61-9553,C,Naypyitaw,Normal,Female,Electronic accessories,51.32,9,23.094,484.974,3/14/2019,19:33,Cash,461.88,4.761904762,23.094,5.6
+468-88-0009,A,Yangon,Member,Male,Home and lifestyle,65.94,4,13.188,276.948,3/24/2019,10:29,Cash,263.76,4.761904762,13.188,6
+613-59-9758,C,Naypyitaw,Normal,Female,Sports and travel,14.36,10,7.18,150.78,1/27/2019,14:28,Cash,143.6,4.761904762,7.18,5.4
+254-31-0042,A,Yangon,Member,Male,Electronic accessories,21.5,9,9.675,203.175,3/6/2019,12:46,Credit card,193.5,4.761904762,9.675,7.8
+201-86-2184,B,Mandalay,Member,Female,Electronic accessories,26.26,7,9.191,193.011,2/2/2019,19:40,Cash,183.82,4.761904762,9.191,9.9
+261-12-8671,B,Mandalay,Normal,Female,Fashion accessories,60.96,2,6.096,128.016,1/25/2019,19:39,Credit card,121.92,4.761904762,6.096,4.9
+730-70-9830,C,Naypyitaw,Normal,Female,Home and lifestyle,70.11,6,21.033,441.693,3/14/2019,17:54,Ewallet,420.66,4.761904762,21.033,5.2
+382-25-8917,C,Naypyitaw,Normal,Male,Fashion accessories,42.08,6,12.624,265.104,1/29/2019,12:25,Cash,252.48,4.761904762,12.624,8.9
+422-29-8786,A,Yangon,Normal,Female,Home and lifestyle,67.09,5,16.7725,352.2225,1/3/2019,16:47,Credit card,335.45,4.761904762,16.7725,9.1
+667-23-5919,A,Yangon,Member,Female,Fashion accessories,96.7,5,24.175,507.675,1/14/2019,12:52,Ewallet,483.5,4.761904762,24.175,7
+843-01-4703,B,Mandalay,Member,Female,Home and lifestyle,35.38,9,15.921,334.341,1/5/2019,19:50,Credit card,318.42,4.761904762,15.921,9.6
+743-88-1662,C,Naypyitaw,Normal,Male,Sports and travel,95.49,7,33.4215,701.8515,2/22/2019,18:17,Ewallet,668.43,4.761904762,33.4215,8.7
+595-86-2894,C,Naypyitaw,Member,Male,Fashion accessories,96.98,4,19.396,407.316,2/6/2019,17:20,Ewallet,387.92,4.761904762,19.396,9.4
+182-69-8360,B,Mandalay,Normal,Female,Electronic accessories,23.65,4,4.73,99.33,1/30/2019,13:32,Credit card,94.6,4.761904762,4.73,4
+289-15-7034,A,Yangon,Member,Male,Sports and travel,82.33,4,16.466,345.786,1/11/2019,10:37,Credit card,329.32,4.761904762,16.466,7.5
+462-78-5240,C,Naypyitaw,Normal,Female,Electronic accessories,26.61,2,2.661,55.881,3/19/2019,14:35,Cash,53.22,4.761904762,2.661,4.2
+868-52-7573,B,Mandalay,Normal,Female,Food and beverages,99.69,5,24.9225,523.3725,1/14/2019,12:09,Cash,498.45,4.761904762,24.9225,9.9
+153-58-4872,C,Naypyitaw,Member,Female,Food and beverages,74.89,4,14.978,314.538,3/1/2019,15:32,Ewallet,299.56,4.761904762,14.978,4.2
+662-72-2873,A,Yangon,Normal,Female,Food and beverages,40.94,5,10.235,214.935,1/6/2019,13:58,Ewallet,204.7,4.761904762,10.235,9.9
+525-88-7307,B,Mandalay,Member,Male,Sports and travel,75.82,1,3.791,79.611,1/31/2019,13:19,Cash,75.82,4.761904762,3.791,5.8
+689-16-9784,C,Naypyitaw,Normal,Male,Food and beverages,46.77,6,14.031,294.651,3/11/2019,13:37,Cash,280.62,4.761904762,14.031,6
+725-56-0833,A,Yangon,Normal,Female,Health and beauty,32.32,10,16.16,339.36,2/20/2019,16:49,Credit card,323.2,4.761904762,16.16,10
+394-41-0748,C,Naypyitaw,Member,Female,Fashion accessories,54.07,9,24.3315,510.9615,1/27/2019,14:55,Ewallet,486.63,4.761904762,24.3315,9.5
+596-42-3999,B,Mandalay,Normal,Male,Food and beverages,18.22,7,6.377,133.917,3/10/2019,14:04,Credit card,127.54,4.761904762,6.377,6.6
+541-89-9860,C,Naypyitaw,Member,Female,Fashion accessories,80.48,3,12.072,253.512,2/15/2019,12:31,Cash,241.44,4.761904762,12.072,8.1
+173-82-9529,B,Mandalay,Normal,Female,Fashion accessories,37.95,10,18.975,398.475,1/26/2019,14:51,Cash,379.5,4.761904762,18.975,9.7
+563-36-9814,A,Yangon,Member,Male,Electronic accessories,76.82,1,3.841,80.661,2/13/2019,18:27,Ewallet,76.82,4.761904762,3.841,7.2
+308-47-4913,A,Yangon,Member,Female,Sports and travel,52.26,10,26.13,548.73,3/9/2019,12:45,Credit card,522.6,4.761904762,26.13,6.2
+885-17-6250,A,Yangon,Normal,Female,Health and beauty,79.74,1,3.987,83.727,3/6/2019,10:36,Ewallet,79.74,4.761904762,3.987,7.3
+726-27-2396,A,Yangon,Normal,Female,Health and beauty,77.5,5,19.375,406.875,1/24/2019,20:36,Ewallet,387.5,4.761904762,19.375,4.3
+316-01-3952,A,Yangon,Normal,Female,Food and beverages,54.27,5,13.5675,284.9175,3/13/2019,14:16,Ewallet,271.35,4.761904762,13.5675,4.6
+760-54-1821,B,Mandalay,Normal,Male,Home and lifestyle,13.59,9,6.1155,128.4255,3/15/2019,10:26,Cash,122.31,4.761904762,6.1155,5.8
+793-10-3222,B,Mandalay,Member,Female,Health and beauty,41.06,6,12.318,258.678,3/5/2019,13:30,Credit card,246.36,4.761904762,12.318,8.3
+346-12-3257,B,Mandalay,Member,Male,Electronic accessories,19.24,9,8.658,181.818,3/4/2019,16:28,Cash,173.16,4.761904762,8.658,8
+110-05-6330,C,Naypyitaw,Normal,Female,Food and beverages,39.43,6,11.829,248.409,3/25/2019,20:18,Credit card,236.58,4.761904762,11.829,9.4
+651-61-0874,C,Naypyitaw,Normal,Male,Home and lifestyle,46.22,4,9.244,194.124,3/12/2019,20:04,Credit card,184.88,4.761904762,9.244,6.2
+236-86-3015,C,Naypyitaw,Member,Male,Home and lifestyle,13.98,1,0.699,14.679,2/4/2019,13:38,Ewallet,13.98,4.761904762,0.699,9.8
+831-64-0259,B,Mandalay,Normal,Female,Fashion accessories,39.75,5,9.9375,208.6875,2/22/2019,10:43,Ewallet,198.75,4.761904762,9.9375,9.6
+587-03-7455,C,Naypyitaw,Member,Female,Fashion accessories,97.79,7,34.2265,718.7565,2/16/2019,17:30,Ewallet,684.53,4.761904762,34.2265,4.9
+882-40-4577,A,Yangon,Member,Male,Sports and travel,67.26,4,13.452,282.492,1/19/2019,15:28,Credit card,269.04,4.761904762,13.452,8
+732-67-5346,A,Yangon,Normal,Male,Food and beverages,13.79,5,3.4475,72.3975,1/11/2019,19:07,Credit card,68.95,4.761904762,3.4475,7.8
+725-32-9708,B,Mandalay,Member,Female,Fashion accessories,68.71,4,13.742,288.582,1/4/2019,19:01,Cash,274.84,4.761904762,13.742,4.1
+256-08-8343,A,Yangon,Normal,Female,Home and lifestyle,56.53,4,11.306,237.426,3/4/2019,19:48,Ewallet,226.12,4.761904762,11.306,5.5
+372-26-1506,C,Naypyitaw,Normal,Female,Fashion accessories,23.82,5,5.955,125.055,1/28/2019,19:24,Ewallet,119.1,4.761904762,5.955,5.4
+244-08-0162,B,Mandalay,Normal,Female,Health and beauty,34.21,10,17.105,359.205,1/2/2019,13:00,Cash,342.1,4.761904762,17.105,5.1
+569-71-4390,B,Mandalay,Normal,Male,Sports and travel,21.87,2,2.187,45.927,1/25/2019,14:29,Ewallet,43.74,4.761904762,2.187,6.9
+132-23-6451,A,Yangon,Member,Male,Health and beauty,20.97,5,5.2425,110.0925,1/4/2019,13:21,Cash,104.85,4.761904762,5.2425,7.8
+696-90-2548,A,Yangon,Normal,Male,Sports and travel,25.84,3,3.876,81.396,3/10/2019,18:55,Ewallet,77.52,4.761904762,3.876,6.6
+472-15-9636,A,Yangon,Normal,Male,Home and lifestyle,50.93,8,20.372,427.812,3/22/2019,19:36,Ewallet,407.44,4.761904762,20.372,9.2
+268-03-6164,B,Mandalay,Normal,Male,Health and beauty,96.11,1,4.8055,100.9155,1/25/2019,16:28,Ewallet,96.11,4.761904762,4.8055,7.8
+750-57-9686,C,Naypyitaw,Normal,Female,Home and lifestyle,45.38,4,9.076,190.596,1/8/2019,13:48,Credit card,181.52,4.761904762,9.076,8.7
+186-09-3669,C,Naypyitaw,Member,Female,Health and beauty,81.51,1,4.0755,85.5855,1/22/2019,10:57,Ewallet,81.51,4.761904762,4.0755,9.2
+848-07-1692,B,Mandalay,Normal,Female,Health and beauty,57.22,2,5.722,120.162,1/12/2019,17:13,Ewallet,114.44,4.761904762,5.722,8.3
+745-71-3520,A,Yangon,Member,Female,Electronic accessories,25.22,7,8.827,185.367,2/4/2019,10:23,Cash,176.54,4.761904762,8.827,8.2
+266-76-6436,C,Naypyitaw,Member,Female,Food and beverages,38.6,3,5.79,121.59,3/28/2019,13:57,Ewallet,115.8,4.761904762,5.79,7.5
+740-22-2500,C,Naypyitaw,Normal,Female,Electronic accessories,84.05,3,12.6075,264.7575,1/23/2019,13:29,Cash,252.15,4.761904762,12.6075,9.8
+271-88-8734,C,Naypyitaw,Member,Female,Fashion accessories,97.21,10,48.605,1020.705,2/8/2019,13:00,Credit card,972.1,4.761904762,48.605,8.7
+301-81-8610,B,Mandalay,Member,Male,Fashion accessories,25.42,8,10.168,213.528,3/19/2019,19:42,Credit card,203.36,4.761904762,10.168,6.7
+489-64-4354,C,Naypyitaw,Normal,Male,Fashion accessories,16.28,1,0.814,17.094,3/9/2019,15:36,Cash,16.28,4.761904762,0.814,5
+198-84-7132,B,Mandalay,Member,Male,Fashion accessories,40.61,9,18.2745,383.7645,1/2/2019,13:40,Cash,365.49,4.761904762,18.2745,7
+269-10-8440,A,Yangon,Member,Male,Health and beauty,53.17,7,18.6095,390.7995,1/21/2019,18:01,Cash,372.19,4.761904762,18.6095,8.9
+650-98-6268,B,Mandalay,Member,Female,Food and beverages,20.87,3,3.1305,65.7405,3/20/2019,13:53,Credit card,62.61,4.761904762,3.1305,8
+741-73-3559,B,Mandalay,Normal,Male,Sports and travel,67.27,5,16.8175,353.1675,2/27/2019,17:27,Cash,336.35,4.761904762,16.8175,6.9
+325-77-6186,A,Yangon,Member,Female,Home and lifestyle,90.65,10,45.325,951.825,3/8/2019,10:53,Ewallet,906.5,4.761904762,45.325,7.3
+286-75-7818,B,Mandalay,Normal,Male,Fashion accessories,69.08,2,6.908,145.068,1/31/2019,19:48,Credit card,138.16,4.761904762,6.908,6.9
+574-57-9721,C,Naypyitaw,Normal,Male,Food and beverages,43.27,2,4.327,90.867,3/8/2019,16:53,Ewallet,86.54,4.761904762,4.327,5.7
+459-50-7686,A,Yangon,Normal,Female,Electronic accessories,23.46,6,7.038,147.798,1/13/2019,19:14,Ewallet,140.76,4.761904762,7.038,6.4
+616-87-0016,B,Mandalay,Normal,Male,Fashion accessories,95.54,7,33.439,702.219,3/9/2019,14:36,Credit card,668.78,4.761904762,33.439,9.6
+837-55-7229,B,Mandalay,Normal,Female,Fashion accessories,47.44,1,2.372,49.812,2/22/2019,18:19,Credit card,47.44,4.761904762,2.372,6.8
+751-69-0068,C,Naypyitaw,Normal,Male,Sports and travel,99.24,9,44.658,937.818,3/19/2019,19:09,Ewallet,893.16,4.761904762,44.658,9
+257-73-1380,C,Naypyitaw,Member,Male,Sports and travel,82.93,4,16.586,348.306,1/20/2019,16:51,Ewallet,331.72,4.761904762,16.586,9.6
+345-08-4992,A,Yangon,Normal,Male,Home and lifestyle,33.99,6,10.197,214.137,3/8/2019,15:37,Credit card,203.94,4.761904762,10.197,7.7
+549-96-4200,C,Naypyitaw,Member,Male,Food and beverages,17.04,4,3.408,71.568,3/8/2019,20:15,Ewallet,68.16,4.761904762,3.408,7
+810-60-6344,C,Naypyitaw,Normal,Female,Electronic accessories,40.86,8,16.344,343.224,2/7/2019,14:38,Credit card,326.88,4.761904762,16.344,6.5
+450-28-2866,C,Naypyitaw,Member,Male,Food and beverages,17.44,5,4.36,91.56,1/15/2019,19:25,Cash,87.2,4.761904762,4.36,8.1
+394-30-3170,B,Mandalay,Member,Female,Sports and travel,88.43,8,35.372,742.812,3/22/2019,19:35,Credit card,707.44,4.761904762,35.372,4.3
+138-17-5109,A,Yangon,Member,Female,Home and lifestyle,89.21,9,40.1445,843.0345,1/15/2019,15:42,Credit card,802.89,4.761904762,40.1445,6.5
+192-98-7397,C,Naypyitaw,Normal,Male,Fashion accessories,12.78,1,0.639,13.419,1/8/2019,14:11,Ewallet,12.78,4.761904762,0.639,9.5
+301-11-9629,A,Yangon,Normal,Female,Sports and travel,19.1,7,6.685,140.385,1/15/2019,10:43,Cash,133.7,4.761904762,6.685,9.7
+390-80-5128,B,Mandalay,Member,Female,Health and beauty,19.15,1,0.9575,20.1075,1/28/2019,17:58,Credit card,19.15,4.761904762,0.9575,9.5
+235-46-8343,C,Naypyitaw,Member,Male,Food and beverages,27.66,10,13.83,290.43,2/14/2019,11:26,Credit card,276.6,4.761904762,13.83,8.9
+453-12-7053,C,Naypyitaw,Normal,Male,Fashion accessories,45.74,3,6.861,144.081,3/10/2019,17:38,Credit card,137.22,4.761904762,6.861,6.5
+296-11-7041,B,Mandalay,Member,Female,Health and beauty,27.07,1,1.3535,28.4235,1/12/2019,20:07,Credit card,27.07,4.761904762,1.3535,5.3
+449-27-2918,B,Mandalay,Member,Female,Sports and travel,39.12,1,1.956,41.076,3/26/2019,11:02,Credit card,39.12,4.761904762,1.956,9.6
+891-01-7034,B,Mandalay,Normal,Female,Electronic accessories,74.71,6,22.413,470.673,1/1/2019,19:07,Cash,448.26,4.761904762,22.413,6.7
+744-09-5786,B,Mandalay,Normal,Male,Electronic accessories,22.01,6,6.603,138.663,1/2/2019,18:50,Cash,132.06,4.761904762,6.603,7.6
+727-17-0390,A,Yangon,Normal,Female,Food and beverages,63.61,5,15.9025,333.9525,3/16/2019,12:43,Ewallet,318.05,4.761904762,15.9025,4.8
+568-88-3448,A,Yangon,Normal,Male,Health and beauty,25,1,1.25,26.25,3/3/2019,15:09,Ewallet,25,4.761904762,1.25,5.5
+187-83-5490,A,Yangon,Member,Male,Electronic accessories,20.77,4,4.154,87.234,1/31/2019,13:47,Cash,83.08,4.761904762,4.154,4.7
+767-54-1907,B,Mandalay,Member,Female,Fashion accessories,29.56,5,7.39,155.19,2/13/2019,16:59,Cash,147.8,4.761904762,7.39,6.9
+710-46-4433,B,Mandalay,Member,Female,Food and beverages,77.4,9,34.83,731.43,2/15/2019,14:15,Credit card,696.6,4.761904762,34.83,4.5
+533-33-5337,B,Mandalay,Normal,Male,Electronic accessories,79.39,10,39.695,833.595,2/7/2019,20:24,Cash,793.9,4.761904762,39.695,6.2
+325-90-8763,C,Naypyitaw,Member,Female,Electronic accessories,46.57,10,23.285,488.985,1/27/2019,13:58,Cash,465.7,4.761904762,23.285,7.6
+729-46-7422,C,Naypyitaw,Normal,Male,Food and beverages,35.89,1,1.7945,37.6845,2/23/2019,16:52,Credit card,35.89,4.761904762,1.7945,7.9
+639-76-1242,C,Naypyitaw,Normal,Male,Food and beverages,40.52,5,10.13,212.73,2/3/2019,15:19,Cash,202.6,4.761904762,10.13,4.5
+234-03-4040,B,Mandalay,Member,Female,Food and beverages,73.05,10,36.525,767.025,3/3/2019,12:25,Credit card,730.5,4.761904762,36.525,8.7
+326-71-2155,C,Naypyitaw,Normal,Female,Sports and travel,73.95,4,14.79,310.59,2/3/2019,10:02,Cash,295.8,4.761904762,14.79,6.1
+320-32-8842,C,Naypyitaw,Member,Female,Food and beverages,22.62,1,1.131,23.751,3/17/2019,18:58,Cash,22.62,4.761904762,1.131,6.4
+470-32-9057,A,Yangon,Member,Male,Food and beverages,51.34,5,12.835,269.535,3/28/2019,15:31,Credit card,256.7,4.761904762,12.835,9.1
+878-30-2331,C,Naypyitaw,Member,Female,Sports and travel,54.55,10,27.275,572.775,3/2/2019,11:22,Credit card,545.5,4.761904762,27.275,7.1
+440-59-5691,C,Naypyitaw,Member,Female,Health and beauty,37.15,7,13.0025,273.0525,2/8/2019,13:12,Credit card,260.05,4.761904762,13.0025,7.7
+554-53-3790,B,Mandalay,Normal,Male,Sports and travel,37.02,6,11.106,233.226,3/22/2019,18:33,Cash,222.12,4.761904762,11.106,4.5
+746-19-0921,C,Naypyitaw,Normal,Male,Food and beverages,21.58,1,1.079,22.659,2/9/2019,10:02,Ewallet,21.58,4.761904762,1.079,7.2
+233-34-0817,C,Naypyitaw,Member,Female,Electronic accessories,98.84,1,4.942,103.782,2/15/2019,11:21,Cash,98.84,4.761904762,4.942,8.4
+767-05-1286,C,Naypyitaw,Member,Female,Home and lifestyle,83.77,6,25.131,527.751,1/23/2019,12:10,Ewallet,502.62,4.761904762,25.131,5.4
+340-21-9136,A,Yangon,Member,Female,Sports and travel,40.05,4,8.01,168.21,1/25/2019,11:40,Cash,160.2,4.761904762,8.01,9.7
+405-31-3305,A,Yangon,Member,Male,Fashion accessories,43.13,10,21.565,452.865,2/2/2019,18:31,Credit card,431.3,4.761904762,21.565,5.5
+731-59-7531,B,Mandalay,Member,Male,Health and beauty,72.57,8,29.028,609.588,3/30/2019,17:58,Cash,580.56,4.761904762,29.028,4.6
+676-39-6028,A,Yangon,Member,Female,Electronic accessories,64.44,5,16.11,338.31,3/30/2019,17:04,Cash,322.2,4.761904762,16.11,6.6
+502-05-1910,A,Yangon,Normal,Male,Health and beauty,65.18,3,9.777,205.317,2/25/2019,20:35,Credit card,195.54,4.761904762,9.777,6.3
+485-30-8700,A,Yangon,Normal,Female,Sports and travel,33.26,5,8.315,174.615,3/18/2019,16:10,Credit card,166.3,4.761904762,8.315,4.2
+598-47-9715,C,Naypyitaw,Normal,Male,Electronic accessories,84.07,4,16.814,353.094,3/7/2019,16:54,Ewallet,336.28,4.761904762,16.814,4.4
+701-69-8742,B,Mandalay,Normal,Male,Sports and travel,34.37,10,17.185,360.885,3/16/2019,10:11,Ewallet,343.7,4.761904762,17.185,6.7
+575-67-1508,A,Yangon,Normal,Male,Electronic accessories,38.6,1,1.93,40.53,1/29/2019,11:26,Ewallet,38.6,4.761904762,1.93,6.7
+541-08-3113,C,Naypyitaw,Normal,Male,Food and beverages,65.97,8,26.388,554.148,2/2/2019,20:29,Cash,527.76,4.761904762,26.388,8.4
+246-11-3901,C,Naypyitaw,Normal,Female,Electronic accessories,32.8,10,16.4,344.4,2/15/2019,12:12,Cash,328,4.761904762,16.4,6.2
+674-15-9296,A,Yangon,Normal,Male,Sports and travel,37.14,5,9.285,194.985,1/8/2019,13:05,Ewallet,185.7,4.761904762,9.285,5
+305-18-3552,B,Mandalay,Member,Male,Home and lifestyle,60.38,10,30.19,633.99,2/12/2019,16:19,Cash,603.8,4.761904762,30.19,6
+493-65-6248,C,Naypyitaw,Member,Female,Sports and travel,36.98,10,18.49,388.29,1/1/2019,19:48,Credit card,369.8,4.761904762,18.49,7
+438-01-4015,B,Mandalay,Member,Female,Sports and travel,49.49,4,9.898,207.858,3/21/2019,15:25,Ewallet,197.96,4.761904762,9.898,6.6
+709-58-4068,B,Mandalay,Normal,Female,Fashion accessories,41.09,10,20.545,431.445,2/28/2019,14:42,Cash,410.9,4.761904762,20.545,7.3
+795-49-7276,A,Yangon,Normal,Male,Fashion accessories,37.15,4,7.43,156.03,3/23/2019,18:59,Ewallet,148.6,4.761904762,7.43,8.3
+556-72-8512,C,Naypyitaw,Normal,Male,Home and lifestyle,22.96,1,1.148,24.108,1/30/2019,20:47,Cash,22.96,4.761904762,1.148,4.3
+627-95-3243,B,Mandalay,Member,Female,Home and lifestyle,77.68,9,34.956,734.076,2/4/2019,13:21,Ewallet,699.12,4.761904762,34.956,9.8
+686-41-0932,B,Mandalay,Normal,Female,Fashion accessories,34.7,2,3.47,72.87,3/13/2019,19:48,Ewallet,69.4,4.761904762,3.47,8.2
+510-09-5628,A,Yangon,Member,Female,Fashion accessories,19.66,10,9.83,206.43,3/15/2019,18:20,Credit card,196.6,4.761904762,9.83,7.2
+608-04-3797,B,Mandalay,Member,Female,Health and beauty,25.32,8,10.128,212.688,3/5/2019,20:24,Ewallet,202.56,4.761904762,10.128,8.7
+148-82-2527,C,Naypyitaw,Member,Female,Home and lifestyle,12.12,10,6.06,127.26,3/5/2019,13:44,Credit card,121.2,4.761904762,6.06,8.4
+437-53-3084,B,Mandalay,Normal,Male,Fashion accessories,99.89,2,9.989,209.769,2/26/2019,11:48,Ewallet,199.78,4.761904762,9.989,7.1
+632-32-4574,B,Mandalay,Normal,Male,Sports and travel,75.92,8,30.368,637.728,3/20/2019,14:14,Cash,607.36,4.761904762,30.368,5.5
+556-97-7101,C,Naypyitaw,Normal,Female,Electronic accessories,63.22,2,6.322,132.762,1/1/2019,15:51,Cash,126.44,4.761904762,6.322,8.5
+862-59-8517,C,Naypyitaw,Normal,Female,Food and beverages,90.24,6,27.072,568.512,1/27/2019,11:17,Cash,541.44,4.761904762,27.072,6.2
+401-18-8016,B,Mandalay,Member,Female,Sports and travel,98.13,1,4.9065,103.0365,1/21/2019,17:36,Cash,98.13,4.761904762,4.9065,8.9
+420-18-8989,A,Yangon,Member,Female,Sports and travel,51.52,8,20.608,432.768,2/2/2019,15:47,Cash,412.16,4.761904762,20.608,9.6
+277-63-2961,B,Mandalay,Member,Male,Sports and travel,73.97,1,3.6985,77.6685,2/3/2019,15:53,Credit card,73.97,4.761904762,3.6985,5.4
+573-98-8548,C,Naypyitaw,Member,Female,Fashion accessories,31.9,1,1.595,33.495,1/5/2019,12:40,Ewallet,31.9,4.761904762,1.595,9.1
+620-02-2046,C,Naypyitaw,Normal,Male,Home and lifestyle,69.4,2,6.94,145.74,1/27/2019,19:48,Ewallet,138.8,4.761904762,6.94,9
+282-35-2475,B,Mandalay,Normal,Female,Sports and travel,93.31,2,9.331,195.951,3/25/2019,17:53,Cash,186.62,4.761904762,9.331,6.3
+511-54-3087,B,Mandalay,Normal,Male,Sports and travel,88.45,1,4.4225,92.8725,2/25/2019,16:36,Credit card,88.45,4.761904762,4.4225,9.5
+726-29-6793,A,Yangon,Member,Male,Electronic accessories,24.18,8,9.672,203.112,1/28/2019,20:54,Ewallet,193.44,4.761904762,9.672,9.8
+387-49-4215,B,Mandalay,Member,Female,Sports and travel,48.5,3,7.275,152.775,1/8/2019,12:50,Cash,145.5,4.761904762,7.275,6.7
+862-17-9201,B,Mandalay,Normal,Female,Food and beverages,84.05,6,25.215,529.515,1/29/2019,10:48,Credit card,504.3,4.761904762,25.215,7.7
+291-21-5991,B,Mandalay,Member,Male,Health and beauty,61.29,5,15.3225,321.7725,3/29/2019,14:28,Cash,306.45,4.761904762,15.3225,7
+602-80-9671,C,Naypyitaw,Member,Female,Home and lifestyle,15.95,6,4.785,100.485,2/9/2019,17:15,Credit card,95.7,4.761904762,4.785,5.1
+347-72-6115,B,Mandalay,Member,Female,Sports and travel,90.74,7,31.759,666.939,1/16/2019,18:03,Credit card,635.18,4.761904762,31.759,6.2
+209-61-0206,A,Yangon,Normal,Female,Home and lifestyle,42.91,5,10.7275,225.2775,1/5/2019,17:29,Ewallet,214.55,4.761904762,10.7275,6.1
+595-27-4851,A,Yangon,Normal,Female,Fashion accessories,54.28,7,18.998,398.958,1/27/2019,18:05,Ewallet,379.96,4.761904762,18.998,9.3
+189-52-0236,A,Yangon,Normal,Male,Electronic accessories,99.55,7,34.8425,731.6925,3/14/2019,12:07,Cash,696.85,4.761904762,34.8425,7.6
+503-07-0930,C,Naypyitaw,Member,Male,Sports and travel,58.39,7,20.4365,429.1665,2/23/2019,19:49,Credit card,408.73,4.761904762,20.4365,8.2
+413-20-6708,C,Naypyitaw,Member,Female,Fashion accessories,51.47,1,2.5735,54.0435,3/18/2019,15:52,Ewallet,51.47,4.761904762,2.5735,8.5
+425-85-2085,B,Mandalay,Member,Male,Health and beauty,54.86,5,13.715,288.015,3/29/2019,16:48,Ewallet,274.3,4.761904762,13.715,9.8
+521-18-7827,C,Naypyitaw,Member,Male,Home and lifestyle,39.39,5,9.8475,206.7975,1/22/2019,20:46,Credit card,196.95,4.761904762,9.8475,8.7
+220-28-1851,A,Yangon,Normal,Male,Home and lifestyle,34.73,2,3.473,72.933,3/1/2019,18:14,Ewallet,69.46,4.761904762,3.473,9.7
+600-38-9738,C,Naypyitaw,Member,Male,Sports and travel,71.92,5,17.98,377.58,1/17/2019,15:05,Credit card,359.6,4.761904762,17.98,4.3
+734-91-1155,B,Mandalay,Normal,Female,Electronic accessories,45.71,3,6.8565,143.9865,3/26/2019,10:34,Credit card,137.13,4.761904762,6.8565,7.7
+451-28-5717,C,Naypyitaw,Member,Female,Home and lifestyle,83.17,6,24.951,523.971,3/20/2019,11:23,Cash,499.02,4.761904762,24.951,7.3
+609-81-8548,A,Yangon,Member,Female,Home and lifestyle,37.44,6,11.232,235.872,2/6/2019,13:55,Credit card,224.64,4.761904762,11.232,5.9
+133-14-7229,C,Naypyitaw,Normal,Male,Health and beauty,62.87,2,6.287,132.027,1/1/2019,11:43,Cash,125.74,4.761904762,6.287,5
+534-01-4457,A,Yangon,Normal,Male,Food and beverages,81.71,6,24.513,514.773,1/27/2019,14:36,Credit card,490.26,4.761904762,24.513,8
+719-89-8991,A,Yangon,Member,Female,Sports and travel,91.41,5,22.8525,479.9025,2/25/2019,16:03,Ewallet,457.05,4.761904762,22.8525,7.1
+286-62-6248,B,Mandalay,Normal,Male,Fashion accessories,39.21,4,7.842,164.682,1/16/2019,20:03,Credit card,156.84,4.761904762,7.842,9
+339-38-9982,B,Mandalay,Member,Male,Fashion accessories,59.86,2,5.986,125.706,1/13/2019,14:55,Ewallet,119.72,4.761904762,5.986,6.7
+827-44-5872,B,Mandalay,Member,Female,Food and beverages,54.36,10,27.18,570.78,2/7/2019,11:28,Credit card,543.6,4.761904762,27.18,6.1
+827-77-7633,A,Yangon,Normal,Male,Sports and travel,98.09,9,44.1405,926.9505,2/17/2019,19:41,Cash,882.81,4.761904762,44.1405,9.3
+287-83-1405,A,Yangon,Normal,Male,Health and beauty,25.43,6,7.629,160.209,2/12/2019,19:01,Ewallet,152.58,4.761904762,7.629,7
+435-13-4908,A,Yangon,Member,Male,Fashion accessories,86.68,8,34.672,728.112,1/24/2019,18:04,Credit card,693.44,4.761904762,34.672,7.2
+857-67-9057,B,Mandalay,Normal,Male,Electronic accessories,22.95,10,11.475,240.975,2/6/2019,19:20,Ewallet,229.5,4.761904762,11.475,8.2
+236-27-1144,C,Naypyitaw,Normal,Female,Food and beverages,16.31,9,7.3395,154.1295,3/26/2019,10:31,Ewallet,146.79,4.761904762,7.3395,8.4
+892-05-6689,A,Yangon,Normal,Female,Home and lifestyle,28.32,5,7.08,148.68,3/11/2019,13:28,Ewallet,141.6,4.761904762,7.08,6.2
+583-41-4548,C,Naypyitaw,Normal,Male,Home and lifestyle,16.67,7,5.8345,122.5245,2/7/2019,11:36,Ewallet,116.69,4.761904762,5.8345,7.4
+339-12-4827,B,Mandalay,Member,Female,Fashion accessories,73.96,1,3.698,77.658,1/5/2019,11:32,Credit card,73.96,4.761904762,3.698,5
+643-38-7867,A,Yangon,Normal,Male,Home and lifestyle,97.94,1,4.897,102.837,3/7/2019,11:44,Ewallet,97.94,4.761904762,4.897,6.9
+308-81-0538,A,Yangon,Normal,Female,Fashion accessories,73.05,4,14.61,306.81,2/25/2019,17:16,Credit card,292.2,4.761904762,14.61,4.9
+358-88-9262,C,Naypyitaw,Member,Female,Food and beverages,87.48,6,26.244,551.124,2/1/2019,18:43,Ewallet,524.88,4.761904762,26.244,5.1
+460-35-4390,A,Yangon,Normal,Male,Home and lifestyle,30.68,3,4.602,96.642,1/22/2019,11:00,Ewallet,92.04,4.761904762,4.602,9.1
+343-87-0864,C,Naypyitaw,Member,Male,Health and beauty,75.88,1,3.794,79.674,1/3/2019,10:30,Credit card,75.88,4.761904762,3.794,7.1
+173-50-1108,B,Mandalay,Member,Female,Sports and travel,20.18,4,4.036,84.756,2/13/2019,12:14,Credit card,80.72,4.761904762,4.036,5
+243-47-2663,C,Naypyitaw,Member,Male,Electronic accessories,18.77,6,5.631,118.251,1/28/2019,16:43,Credit card,112.62,4.761904762,5.631,5.5
+841-18-8232,B,Mandalay,Normal,Female,Food and beverages,71.2,1,3.56,74.76,1/5/2019,20:40,Credit card,71.2,4.761904762,3.56,9.2
+701-23-5550,B,Mandalay,Member,Male,Home and lifestyle,38.81,4,7.762,163.002,3/19/2019,13:40,Ewallet,155.24,4.761904762,7.762,4.9
+647-50-1224,A,Yangon,Normal,Female,Fashion accessories,29.42,10,14.71,308.91,1/12/2019,16:23,Ewallet,294.2,4.761904762,14.71,8.9
+541-48-8554,A,Yangon,Normal,Male,Sports and travel,60.95,9,27.4275,575.9775,1/7/2019,12:08,Credit card,548.55,4.761904762,27.4275,6
+539-21-7227,B,Mandalay,Normal,Female,Sports and travel,51.54,5,12.885,270.585,1/26/2019,17:45,Cash,257.7,4.761904762,12.885,4.2
+213-32-1216,A,Yangon,Normal,Female,Electronic accessories,66.06,6,19.818,416.178,1/23/2019,10:28,Cash,396.36,4.761904762,19.818,7.3
+747-58-7183,B,Mandalay,Normal,Male,Fashion accessories,57.27,3,8.5905,180.4005,2/9/2019,20:31,Ewallet,171.81,4.761904762,8.5905,6.5
+582-52-8065,B,Mandalay,Normal,Female,Fashion accessories,54.31,9,24.4395,513.2295,2/22/2019,10:49,Cash,488.79,4.761904762,24.4395,8.9
+210-57-1719,B,Mandalay,Normal,Female,Health and beauty,58.24,9,26.208,550.368,2/5/2019,12:34,Cash,524.16,4.761904762,26.208,9.7
+399-69-4630,C,Naypyitaw,Normal,Male,Electronic accessories,22.21,6,6.663,139.923,3/7/2019,10:23,Credit card,133.26,4.761904762,6.663,8.6
+134-75-2619,A,Yangon,Member,Male,Electronic accessories,19.32,7,6.762,142.002,3/25/2019,18:51,Cash,135.24,4.761904762,6.762,6.9
+356-44-8813,B,Mandalay,Normal,Male,Home and lifestyle,37.48,3,5.622,118.062,1/20/2019,13:45,Credit card,112.44,4.761904762,5.622,7.7
+198-66-9832,B,Mandalay,Member,Female,Fashion accessories,72.04,2,7.204,151.284,2/4/2019,19:38,Cash,144.08,4.761904762,7.204,9.5
+283-26-5248,C,Naypyitaw,Member,Female,Food and beverages,98.52,10,49.26,1034.46,1/30/2019,20:23,Ewallet,985.2,4.761904762,49.26,4.5
+712-39-0363,A,Yangon,Member,Male,Food and beverages,41.66,6,12.498,262.458,1/2/2019,15:24,Ewallet,249.96,4.761904762,12.498,5.6
+218-59-9410,A,Yangon,Member,Female,Home and lifestyle,72.42,3,10.863,228.123,3/29/2019,16:54,Ewallet,217.26,4.761904762,10.863,8.2
+174-75-0888,B,Mandalay,Normal,Male,Electronic accessories,21.58,9,9.711,203.931,3/14/2019,12:32,Cash,194.22,4.761904762,9.711,7.3
+866-99-7614,C,Naypyitaw,Normal,Male,Food and beverages,89.2,10,44.6,936.6,2/11/2019,15:42,Credit card,892,4.761904762,44.6,4.4
+134-54-4720,B,Mandalay,Normal,Female,Electronic accessories,42.42,8,16.968,356.328,1/30/2019,13:58,Ewallet,339.36,4.761904762,16.968,5.7
+760-90-2357,A,Yangon,Member,Male,Electronic accessories,74.51,6,22.353,469.413,3/20/2019,15:08,Ewallet,447.06,4.761904762,22.353,5
+514-37-2845,B,Mandalay,Normal,Male,Fashion accessories,99.25,2,9.925,208.425,3/20/2019,13:02,Cash,198.5,4.761904762,9.925,9
+698-98-5964,A,Yangon,Normal,Female,Food and beverages,81.21,10,40.605,852.705,1/17/2019,13:01,Credit card,812.1,4.761904762,40.605,6.3
+718-57-9773,C,Naypyitaw,Normal,Female,Sports and travel,49.33,10,24.665,517.965,2/3/2019,16:40,Credit card,493.3,4.761904762,24.665,9.4
+651-88-7328,A,Yangon,Normal,Female,Fashion accessories,65.74,9,29.583,621.243,1/1/2019,13:55,Cash,591.66,4.761904762,29.583,7.7
+241-11-2261,B,Mandalay,Normal,Female,Fashion accessories,79.86,7,27.951,586.971,1/10/2019,10:33,Credit card,559.02,4.761904762,27.951,5.5
+408-26-9866,C,Naypyitaw,Normal,Female,Sports and travel,73.98,7,25.893,543.753,3/2/2019,16:42,Ewallet,517.86,4.761904762,25.893,4.1
+834-83-1826,B,Mandalay,Member,Female,Home and lifestyle,82.04,5,20.51,430.71,2/25/2019,17:16,Credit card,410.2,4.761904762,20.51,7.6
+343-61-3544,B,Mandalay,Member,Male,Sports and travel,26.67,10,13.335,280.035,1/29/2019,11:48,Cash,266.7,4.761904762,13.335,8.6
+239-48-4278,A,Yangon,Member,Male,Food and beverages,10.13,7,3.5455,74.4555,3/10/2019,19:35,Ewallet,70.91,4.761904762,3.5455,8.3
+355-34-6244,B,Mandalay,Normal,Male,Food and beverages,72.39,2,7.239,152.019,1/13/2019,19:55,Credit card,144.78,4.761904762,7.239,8.1
+550-84-8664,A,Yangon,Normal,Male,Sports and travel,85.91,5,21.4775,451.0275,3/22/2019,14:33,Credit card,429.55,4.761904762,21.4775,8.6
+339-96-8318,B,Mandalay,Member,Male,Fashion accessories,81.31,7,28.4585,597.6285,3/1/2019,19:49,Ewallet,569.17,4.761904762,28.4585,6.3
+458-61-0011,B,Mandalay,Normal,Male,Food and beverages,60.3,4,12.06,253.26,2/20/2019,18:43,Cash,241.2,4.761904762,12.06,5.8
+592-34-6155,C,Naypyitaw,Normal,Male,Food and beverages,31.77,4,6.354,133.434,1/14/2019,14:43,Ewallet,127.08,4.761904762,6.354,6.2
+797-88-0493,A,Yangon,Normal,Female,Health and beauty,64.27,4,12.854,269.934,3/26/2019,13:54,Cash,257.08,4.761904762,12.854,7.7
+207-73-1363,B,Mandalay,Normal,Male,Health and beauty,69.51,2,6.951,145.971,3/1/2019,12:15,Ewallet,139.02,4.761904762,6.951,8.1
+390-31-6381,C,Naypyitaw,Normal,Male,Food and beverages,27.22,3,4.083,85.743,1/7/2019,12:37,Cash,81.66,4.761904762,4.083,7.3
+443-82-0585,A,Yangon,Member,Female,Health and beauty,77.68,4,15.536,326.256,2/1/2019,19:54,Cash,310.72,4.761904762,15.536,8.4
+339-18-7061,C,Naypyitaw,Member,Female,Fashion accessories,92.98,2,9.298,195.258,2/13/2019,15:06,Credit card,185.96,4.761904762,9.298,8
+359-90-3665,B,Mandalay,Member,Female,Fashion accessories,18.08,4,3.616,75.936,1/14/2019,18:03,Credit card,72.32,4.761904762,3.616,9.5
+375-72-3056,B,Mandalay,Normal,Male,Sports and travel,63.06,3,9.459,198.639,1/19/2019,15:58,Ewallet,189.18,4.761904762,9.459,7
+127-47-6963,A,Yangon,Normal,Male,Health and beauty,51.71,4,10.342,217.182,3/9/2019,13:53,Credit card,206.84,4.761904762,10.342,9.8
+278-86-2735,A,Yangon,Normal,Female,Food and beverages,52.34,3,7.851,164.871,3/27/2019,14:03,Cash,157.02,4.761904762,7.851,9.2
+695-28-6250,A,Yangon,Normal,Female,Sports and travel,43.06,5,10.765,226.065,2/4/2019,16:38,Ewallet,215.3,4.761904762,10.765,7.7
+379-17-6588,C,Naypyitaw,Normal,Male,Fashion accessories,59.61,10,29.805,625.905,3/14/2019,11:07,Cash,596.1,4.761904762,29.805,5.3
+227-50-3718,A,Yangon,Normal,Male,Health and beauty,14.62,5,3.655,76.755,3/4/2019,12:23,Cash,73.1,4.761904762,3.655,4.4
+302-15-2162,C,Naypyitaw,Member,Male,Health and beauty,46.53,6,13.959,293.139,3/3/2019,10:54,Credit card,279.18,4.761904762,13.959,4.3
+788-07-8452,C,Naypyitaw,Member,Female,Home and lifestyle,24.24,7,8.484,178.164,1/27/2019,17:38,Ewallet,169.68,4.761904762,8.484,9.4
+560-49-6611,A,Yangon,Member,Female,Sports and travel,45.58,1,2.279,47.859,2/7/2019,14:13,Cash,45.58,4.761904762,2.279,9.8
+880-35-0356,A,Yangon,Member,Female,Sports and travel,75.2,3,11.28,236.88,2/5/2019,11:51,Ewallet,225.6,4.761904762,11.28,4.8
+585-11-6748,B,Mandalay,Member,Male,Sports and travel,96.8,3,14.52,304.92,3/15/2019,13:05,Cash,290.4,4.761904762,14.52,5.3
+470-31-3286,B,Mandalay,Normal,Male,Health and beauty,14.82,3,2.223,46.683,3/1/2019,11:30,Credit card,44.46,4.761904762,2.223,8.7
+152-68-2907,A,Yangon,Normal,Male,Food and beverages,52.2,3,7.83,164.43,2/15/2019,13:30,Credit card,156.6,4.761904762,7.83,9.5
+123-35-4896,C,Naypyitaw,Normal,Female,Sports and travel,46.66,9,20.997,440.937,2/17/2019,19:11,Ewallet,419.94,4.761904762,20.997,5.3
+258-69-7810,C,Naypyitaw,Normal,Female,Fashion accessories,36.85,5,9.2125,193.4625,1/26/2019,18:53,Cash,184.25,4.761904762,9.2125,9.2
+334-64-2006,A,Yangon,Member,Female,Home and lifestyle,70.32,2,7.032,147.672,3/24/2019,14:22,Ewallet,140.64,4.761904762,7.032,9.6
+219-61-4139,C,Naypyitaw,Normal,Male,Electronic accessories,83.08,1,4.154,87.234,1/23/2019,17:16,Ewallet,83.08,4.761904762,4.154,6.4
+881-41-7302,C,Naypyitaw,Normal,Female,Fashion accessories,64.99,1,3.2495,68.2395,1/26/2019,10:06,Credit card,64.99,4.761904762,3.2495,4.5
+373-09-4567,C,Naypyitaw,Normal,Male,Food and beverages,77.56,10,38.78,814.38,3/14/2019,20:35,Ewallet,775.6,4.761904762,38.78,6.9
+642-30-6693,B,Mandalay,Normal,Female,Sports and travel,54.51,6,16.353,343.413,3/17/2019,13:54,Ewallet,327.06,4.761904762,16.353,7.8
+484-22-8230,C,Naypyitaw,Member,Female,Fashion accessories,51.89,7,18.1615,381.3915,1/8/2019,20:08,Cash,363.23,4.761904762,18.1615,4.5
+830-58-2383,B,Mandalay,Normal,Male,Home and lifestyle,31.75,4,6.35,133.35,2/8/2019,15:26,Cash,127,4.761904762,6.35,8.6
+559-98-9873,A,Yangon,Member,Female,Fashion accessories,53.65,7,18.7775,394.3275,2/10/2019,12:56,Ewallet,375.55,4.761904762,18.7775,5.2
+544-32-5024,C,Naypyitaw,Member,Female,Food and beverages,49.79,4,9.958,209.118,3/28/2019,19:16,Credit card,199.16,4.761904762,9.958,6.4
+318-12-0304,A,Yangon,Normal,Male,Fashion accessories,30.61,1,1.5305,32.1405,1/23/2019,12:20,Ewallet,30.61,4.761904762,1.5305,5.2
+349-97-8902,B,Mandalay,Member,Male,Food and beverages,57.89,2,5.789,121.569,1/17/2019,10:37,Ewallet,115.78,4.761904762,5.789,8.9
+421-95-9805,A,Yangon,Normal,Female,Electronic accessories,28.96,1,1.448,30.408,2/7/2019,10:18,Credit card,28.96,4.761904762,1.448,6.2
+277-35-5865,C,Naypyitaw,Member,Female,Food and beverages,98.97,9,44.5365,935.2665,3/9/2019,11:23,Cash,890.73,4.761904762,44.5365,6.7
+789-23-8625,B,Mandalay,Member,Male,Fashion accessories,93.22,3,13.983,293.643,1/24/2019,11:45,Cash,279.66,4.761904762,13.983,7.2
+284-54-4231,C,Naypyitaw,Member,Male,Sports and travel,80.93,1,4.0465,84.9765,1/19/2019,16:08,Credit card,80.93,4.761904762,4.0465,9
+443-59-0061,A,Yangon,Member,Male,Food and beverages,67.45,10,33.725,708.225,2/3/2019,11:25,Ewallet,674.5,4.761904762,33.725,4.2
+509-29-3912,A,Yangon,Member,Female,Sports and travel,38.72,9,17.424,365.904,3/20/2019,12:24,Ewallet,348.48,4.761904762,17.424,4.2
+327-40-9673,B,Mandalay,Member,Male,Sports and travel,72.6,6,21.78,457.38,1/13/2019,19:51,Cash,435.6,4.761904762,21.78,6.9
+840-19-2096,C,Naypyitaw,Member,Male,Electronic accessories,87.91,5,21.9775,461.5275,3/14/2019,18:10,Ewallet,439.55,4.761904762,21.9775,4.4
+828-46-6863,A,Yangon,Member,Male,Food and beverages,98.53,6,29.559,620.739,1/23/2019,11:22,Credit card,591.18,4.761904762,29.559,4
+641-96-3695,C,Naypyitaw,Member,Female,Fashion accessories,43.46,6,13.038,273.798,2/7/2019,17:55,Ewallet,260.76,4.761904762,13.038,8.5
+420-97-3340,A,Yangon,Normal,Female,Food and beverages,71.68,3,10.752,225.792,3/28/2019,15:30,Credit card,215.04,4.761904762,10.752,9.2
+436-54-4512,A,Yangon,Member,Female,Food and beverages,91.61,1,4.5805,96.1905,3/20/2019,19:44,Cash,91.61,4.761904762,4.5805,9.8
+670-79-6321,B,Mandalay,Member,Female,Home and lifestyle,94.59,7,33.1065,695.2365,1/17/2019,15:27,Credit card,662.13,4.761904762,33.1065,4.9
+852-62-7105,B,Mandalay,Normal,Female,Fashion accessories,83.25,10,41.625,874.125,1/12/2019,11:25,Credit card,832.5,4.761904762,41.625,4.4
+598-06-7312,B,Mandalay,Member,Male,Fashion accessories,91.35,1,4.5675,95.9175,2/16/2019,15:42,Cash,91.35,4.761904762,4.5675,6.8
+135-13-8269,B,Mandalay,Member,Female,Food and beverages,78.88,2,7.888,165.648,1/26/2019,16:04,Cash,157.76,4.761904762,7.888,9.1
+816-57-2053,A,Yangon,Normal,Male,Sports and travel,60.87,2,6.087,127.827,3/9/2019,12:37,Ewallet,121.74,4.761904762,6.087,8.7
+628-90-8624,B,Mandalay,Member,Male,Health and beauty,82.58,10,41.29,867.09,3/14/2019,14:41,Cash,825.8,4.761904762,41.29,5
+856-66-2701,A,Yangon,Member,Male,Home and lifestyle,53.3,3,7.995,167.895,1/25/2019,14:19,Ewallet,159.9,4.761904762,7.995,7.5
+308-39-1707,A,Yangon,Normal,Female,Fashion accessories,12.09,1,0.6045,12.6945,1/26/2019,18:19,Credit card,12.09,4.761904762,0.6045,8.2
+149-61-1929,A,Yangon,Normal,Male,Sports and travel,64.19,10,32.095,673.995,1/19/2019,14:08,Credit card,641.9,4.761904762,32.095,6.7
+655-07-2265,A,Yangon,Normal,Male,Electronic accessories,78.31,3,11.7465,246.6765,3/5/2019,16:38,Ewallet,234.93,4.761904762,11.7465,5.4
+589-02-8023,A,Yangon,Member,Male,Food and beverages,83.77,2,8.377,175.917,1/15/2019,10:54,Credit card,167.54,4.761904762,8.377,7
+420-04-7590,B,Mandalay,Normal,Male,Home and lifestyle,99.7,3,14.955,314.055,3/18/2019,11:29,Ewallet,299.1,4.761904762,14.955,4.7
+182-88-2763,B,Mandalay,Member,Male,Food and beverages,79.91,3,11.9865,251.7165,3/20/2019,19:28,Credit card,239.73,4.761904762,11.9865,5
+188-55-0967,B,Mandalay,Member,Male,Health and beauty,66.47,10,33.235,697.935,1/15/2019,15:01,Credit card,664.7,4.761904762,33.235,5
+610-46-4100,A,Yangon,Normal,Male,Health and beauty,28.95,7,10.1325,212.7825,3/3/2019,20:31,Credit card,202.65,4.761904762,10.1325,6
+318-81-2368,C,Naypyitaw,Normal,Female,Electronic accessories,46.2,1,2.31,48.51,3/19/2019,12:16,Cash,46.2,4.761904762,2.31,6.3
+364-33-8584,B,Mandalay,Member,Female,Food and beverages,17.63,5,4.4075,92.5575,3/8/2019,15:27,Cash,88.15,4.761904762,4.4075,8.5
+665-63-9737,B,Mandalay,Normal,Male,Fashion accessories,52.42,3,7.863,165.123,2/27/2019,17:36,Ewallet,157.26,4.761904762,7.863,7.5
+695-09-5146,B,Mandalay,Member,Female,Food and beverages,98.79,3,14.8185,311.1885,2/23/2019,20:00,Ewallet,296.37,4.761904762,14.8185,6.4
+155-45-3814,C,Naypyitaw,Member,Female,Electronic accessories,88.55,8,35.42,743.82,3/19/2019,15:29,Ewallet,708.4,4.761904762,35.42,4.7
+794-32-2436,B,Mandalay,Member,Male,Electronic accessories,55.67,2,5.567,116.907,3/27/2019,15:08,Ewallet,111.34,4.761904762,5.567,6
+131-15-8856,C,Naypyitaw,Member,Female,Food and beverages,72.52,8,29.008,609.168,3/30/2019,19:26,Credit card,580.16,4.761904762,29.008,4
+273-84-2164,C,Naypyitaw,Member,Male,Electronic accessories,12.05,5,3.0125,63.2625,2/16/2019,15:53,Ewallet,60.25,4.761904762,3.0125,5.5
+706-36-6154,A,Yangon,Member,Male,Home and lifestyle,19.36,9,8.712,182.952,1/18/2019,18:43,Ewallet,174.24,4.761904762,8.712,8.7
+778-89-7974,C,Naypyitaw,Normal,Male,Health and beauty,70.21,6,21.063,442.323,3/30/2019,14:58,Cash,421.26,4.761904762,21.063,7.4
+574-31-8277,B,Mandalay,Member,Male,Fashion accessories,33.63,1,1.6815,35.3115,3/20/2019,19:55,Cash,33.63,4.761904762,1.6815,5.6
+859-71-0933,C,Naypyitaw,Member,Female,Sports and travel,15.49,2,1.549,32.529,1/16/2019,15:10,Cash,30.98,4.761904762,1.549,6.3
+740-11-5257,C,Naypyitaw,Normal,Male,Electronic accessories,24.74,10,12.37,259.77,2/24/2019,16:44,Cash,247.4,4.761904762,12.37,7.1
+369-82-2676,B,Mandalay,Normal,Male,Electronic accessories,75.66,5,18.915,397.215,1/15/2019,18:22,Ewallet,378.3,4.761904762,18.915,7.8
+563-47-4072,B,Mandalay,Normal,Female,Health and beauty,55.81,6,16.743,351.603,1/22/2019,11:52,Cash,334.86,4.761904762,16.743,9.9
+742-04-5161,A,Yangon,Member,Male,Home and lifestyle,72.78,10,36.39,764.19,2/3/2019,17:24,Cash,727.8,4.761904762,36.39,7.3
+149-15-7606,B,Mandalay,Member,Male,Sports and travel,37.32,9,16.794,352.674,3/6/2019,15:31,Ewallet,335.88,4.761904762,16.794,5.1
+133-77-3154,B,Mandalay,Member,Male,Fashion accessories,60.18,4,12.036,252.756,2/16/2019,18:04,Credit card,240.72,4.761904762,12.036,9.4
+169-52-4504,A,Yangon,Normal,Female,Electronic accessories,15.69,3,2.3535,49.4235,3/14/2019,14:13,Credit card,47.07,4.761904762,2.3535,5.8
+250-81-7186,C,Naypyitaw,Normal,Female,Electronic accessories,99.69,1,4.9845,104.6745,2/27/2019,10:23,Credit card,99.69,4.761904762,4.9845,8
+562-12-5430,A,Yangon,Member,Female,Fashion accessories,88.15,3,13.2225,277.6725,1/18/2019,10:11,Ewallet,264.45,4.761904762,13.2225,7.9
+816-72-8853,A,Yangon,Member,Female,Sports and travel,27.93,5,6.9825,146.6325,1/29/2019,15:48,Cash,139.65,4.761904762,6.9825,5.9
+491-38-3499,A,Yangon,Member,Male,Fashion accessories,55.45,1,2.7725,58.2225,2/26/2019,17:46,Credit card,55.45,4.761904762,2.7725,4.9
+322-02-2271,B,Mandalay,Normal,Female,Sports and travel,42.97,3,6.4455,135.3555,2/3/2019,11:46,Cash,128.91,4.761904762,6.4455,9.3
+842-29-4695,C,Naypyitaw,Member,Male,Sports and travel,17.14,7,5.999,125.979,1/16/2019,12:07,Credit card,119.98,4.761904762,5.999,7.9
+725-67-2480,B,Mandalay,Member,Female,Fashion accessories,58.75,6,17.625,370.125,3/24/2019,18:14,Credit card,352.5,4.761904762,17.625,5.9
+641-51-2661,C,Naypyitaw,Member,Female,Food and beverages,87.1,10,43.55,914.55,2/12/2019,14:45,Credit card,871,4.761904762,43.55,9.9
+714-02-3114,C,Naypyitaw,Normal,Female,Sports and travel,98.8,2,9.88,207.48,2/21/2019,11:39,Cash,197.6,4.761904762,9.88,7.7
+518-17-2983,A,Yangon,Normal,Female,Fashion accessories,48.63,4,9.726,204.246,2/4/2019,15:44,Ewallet,194.52,4.761904762,9.726,7.6
+779-42-2410,B,Mandalay,Member,Male,Food and beverages,57.74,3,8.661,181.881,2/20/2019,13:06,Ewallet,173.22,4.761904762,8.661,7.7
+190-14-3147,B,Mandalay,Normal,Female,Health and beauty,17.97,4,3.594,75.474,2/23/2019,20:43,Ewallet,71.88,4.761904762,3.594,6.4
+408-66-6712,C,Naypyitaw,Member,Female,Health and beauty,47.71,6,14.313,300.573,2/16/2019,14:19,Ewallet,286.26,4.761904762,14.313,4.4
+679-22-6530,B,Mandalay,Normal,Female,Sports and travel,40.62,2,4.062,85.302,1/17/2019,10:01,Credit card,81.24,4.761904762,4.062,4.1
+588-47-8641,A,Yangon,Member,Male,Fashion accessories,56.04,10,28.02,588.42,1/14/2019,19:30,Ewallet,560.4,4.761904762,28.02,4.4
+642-61-4706,B,Mandalay,Member,Male,Food and beverages,93.4,2,9.34,196.14,3/30/2019,16:34,Cash,186.8,4.761904762,9.34,5.5
+576-31-4774,B,Mandalay,Normal,Female,Health and beauty,73.41,3,11.0115,231.2415,3/2/2019,13:10,Ewallet,220.23,4.761904762,11.0115,4
+556-41-6224,C,Naypyitaw,Normal,Male,Health and beauty,33.64,8,13.456,282.576,2/15/2019,17:10,Credit card,269.12,4.761904762,13.456,9.3
+811-03-8790,A,Yangon,Normal,Female,Electronic accessories,45.48,10,22.74,477.54,3/1/2019,10:22,Credit card,454.8,4.761904762,22.74,4.8
+242-11-3142,B,Mandalay,Member,Male,Fashion accessories,83.77,2,8.377,175.917,2/24/2019,19:57,Cash,167.54,4.761904762,8.377,4.6
+752-23-3760,B,Mandalay,Member,Female,Sports and travel,64.08,7,22.428,470.988,2/19/2019,19:29,Credit card,448.56,4.761904762,22.428,7.3
+274-05-5470,A,Yangon,Member,Female,Food and beverages,73.47,4,14.694,308.574,2/23/2019,18:30,Cash,293.88,4.761904762,14.694,6
+648-94-3045,C,Naypyitaw,Normal,Male,Health and beauty,58.95,10,29.475,618.975,2/7/2019,14:27,Ewallet,589.5,4.761904762,29.475,8.1
+130-67-4723,A,Yangon,Member,Male,Food and beverages,48.5,6,14.55,305.55,1/11/2019,13:57,Ewallet,291,4.761904762,14.55,9.4
+528-87-5606,B,Mandalay,Member,Female,Electronic accessories,39.48,1,1.974,41.454,2/12/2019,19:43,Cash,39.48,4.761904762,1.974,6.5
+320-85-2052,B,Mandalay,Normal,Female,Sports and travel,34.81,1,1.7405,36.5505,1/14/2019,10:11,Credit card,34.81,4.761904762,1.7405,7
+370-96-0655,C,Naypyitaw,Normal,Female,Fashion accessories,49.32,6,14.796,310.716,1/9/2019,13:46,Ewallet,295.92,4.761904762,14.796,7.1
+105-10-6182,A,Yangon,Member,Male,Fashion accessories,21.48,2,2.148,45.108,2/27/2019,12:22,Ewallet,42.96,4.761904762,2.148,6.6
+510-79-0415,B,Mandalay,Member,Female,Sports and travel,23.08,6,6.924,145.404,1/24/2019,19:20,Ewallet,138.48,4.761904762,6.924,4.9
+241-96-5076,B,Mandalay,Member,Female,Home and lifestyle,49.1,2,4.91,103.11,1/8/2019,12:58,Credit card,98.2,4.761904762,4.91,6.4
+767-97-4650,B,Mandalay,Member,Female,Sports and travel,64.83,2,6.483,136.143,1/8/2019,11:59,Credit card,129.66,4.761904762,6.483,8
+648-83-1321,A,Yangon,Member,Male,Home and lifestyle,63.56,10,31.78,667.38,1/16/2019,17:59,Cash,635.6,4.761904762,31.78,4.3
+173-57-2300,C,Naypyitaw,Member,Male,Sports and travel,72.88,2,7.288,153.048,3/13/2019,12:51,Cash,145.76,4.761904762,7.288,6.1
+305-03-2383,A,Yangon,Normal,Female,Food and beverages,67.1,3,10.065,211.365,2/15/2019,10:36,Cash,201.3,4.761904762,10.065,7.5
+394-55-6384,C,Naypyitaw,Member,Female,Sports and travel,70.19,9,31.5855,663.2955,1/25/2019,13:38,Cash,631.71,4.761904762,31.5855,6.7
+266-20-6657,C,Naypyitaw,Member,Male,Food and beverages,55.04,7,19.264,404.544,3/12/2019,19:39,Ewallet,385.28,4.761904762,19.264,5.2
+689-05-1884,A,Yangon,Member,Male,Health and beauty,48.63,10,24.315,510.615,3/4/2019,12:44,Cash,486.3,4.761904762,24.315,8.8
+196-01-2849,C,Naypyitaw,Member,Female,Fashion accessories,73.38,7,25.683,539.343,2/10/2019,13:56,Cash,513.66,4.761904762,25.683,9.5
+372-62-5264,C,Naypyitaw,Normal,Female,Food and beverages,52.6,9,23.67,497.07,1/16/2019,14:42,Cash,473.4,4.761904762,23.67,7.6
+800-09-8606,A,Yangon,Member,Female,Home and lifestyle,87.37,5,21.8425,458.6925,1/29/2019,19:45,Cash,436.85,4.761904762,21.8425,6.6
+182-52-7000,A,Yangon,Member,Female,Sports and travel,27.04,4,5.408,113.568,1/1/2019,20:26,Ewallet,108.16,4.761904762,5.408,6.9
+826-58-8051,B,Mandalay,Normal,Male,Home and lifestyle,62.19,4,12.438,261.198,1/6/2019,19:46,Ewallet,248.76,4.761904762,12.438,4.3
+868-06-0466,A,Yangon,Member,Male,Electronic accessories,69.58,9,31.311,657.531,2/19/2019,19:38,Credit card,626.22,4.761904762,31.311,7.8
+751-41-9720,C,Naypyitaw,Normal,Male,Home and lifestyle,97.5,10,48.75,1023.75,1/12/2019,16:18,Ewallet,975,4.761904762,48.75,8
+626-43-7888,C,Naypyitaw,Normal,Female,Fashion accessories,60.41,8,24.164,507.444,2/7/2019,12:23,Ewallet,483.28,4.761904762,24.164,9.6
+176-64-7711,B,Mandalay,Normal,Male,Food and beverages,32.32,3,4.848,101.808,3/27/2019,19:11,Credit card,96.96,4.761904762,4.848,4.3
+191-29-0321,B,Mandalay,Member,Female,Fashion accessories,19.77,10,9.885,207.585,2/27/2019,18:57,Credit card,197.7,4.761904762,9.885,5
+729-06-2010,B,Mandalay,Member,Male,Health and beauty,80.47,9,36.2115,760.4415,1/6/2019,11:18,Cash,724.23,4.761904762,36.2115,9.2
+640-48-5028,B,Mandalay,Member,Female,Home and lifestyle,88.39,9,39.7755,835.2855,3/2/2019,12:40,Cash,795.51,4.761904762,39.7755,6.3
+186-79-9562,B,Mandalay,Normal,Male,Health and beauty,71.77,7,25.1195,527.5095,3/29/2019,14:06,Cash,502.39,4.761904762,25.1195,8.9
+834-45-5519,B,Mandalay,Normal,Female,Electronic accessories,43,4,8.6,180.6,1/31/2019,20:48,Ewallet,172,4.761904762,8.6,7.6
+162-65-8559,C,Naypyitaw,Member,Male,Food and beverages,68.98,1,3.449,72.429,1/21/2019,20:13,Cash,68.98,4.761904762,3.449,4.8
+760-27-5490,C,Naypyitaw,Normal,Male,Fashion accessories,15.62,8,6.248,131.208,1/20/2019,20:37,Ewallet,124.96,4.761904762,6.248,9.1
+445-30-9252,A,Yangon,Normal,Male,Sports and travel,25.7,3,3.855,80.955,1/17/2019,17:59,Ewallet,77.1,4.761904762,3.855,6.1
+786-94-2700,A,Yangon,Member,Male,Food and beverages,80.62,6,24.186,507.906,2/28/2019,20:18,Cash,483.72,4.761904762,24.186,9.1
+728-88-7867,C,Naypyitaw,Member,Female,Home and lifestyle,75.53,4,15.106,317.226,3/19/2019,15:52,Ewallet,302.12,4.761904762,15.106,8.3
+183-21-3799,C,Naypyitaw,Normal,Female,Electronic accessories,77.63,9,34.9335,733.6035,2/19/2019,15:14,Ewallet,698.67,4.761904762,34.9335,7.2
+268-20-3585,C,Naypyitaw,Normal,Female,Health and beauty,13.85,9,6.2325,130.8825,2/4/2019,12:50,Ewallet,124.65,4.761904762,6.2325,6
+735-32-9839,C,Naypyitaw,Member,Male,Fashion accessories,98.7,8,39.48,829.08,1/31/2019,10:36,Ewallet,789.6,4.761904762,39.48,8.5
+258-92-7466,A,Yangon,Normal,Female,Health and beauty,35.68,5,8.92,187.32,2/6/2019,18:33,Credit card,178.4,4.761904762,8.92,6.6
+857-16-3520,A,Yangon,Member,Female,Fashion accessories,71.46,7,25.011,525.231,3/28/2019,16:06,Ewallet,500.22,4.761904762,25.011,4.5
+482-17-1179,A,Yangon,Member,Male,Electronic accessories,11.94,3,1.791,37.611,1/19/2019,12:47,Credit card,35.82,4.761904762,1.791,8.1
+788-21-5741,A,Yangon,Normal,Male,Fashion accessories,45.38,3,6.807,142.947,2/17/2019,13:34,Credit card,136.14,4.761904762,6.807,7.2
+821-14-9046,B,Mandalay,Member,Female,Fashion accessories,17.48,6,5.244,110.124,1/18/2019,15:04,Credit card,104.88,4.761904762,5.244,6.1
+418-05-0656,B,Mandalay,Normal,Female,Fashion accessories,25.56,7,8.946,187.866,2/2/2019,20:42,Cash,178.92,4.761904762,8.946,7.1
+678-79-0726,C,Naypyitaw,Member,Female,Sports and travel,90.63,9,40.7835,856.4535,1/18/2019,15:28,Cash,815.67,4.761904762,40.7835,5.1
+776-68-1096,B,Mandalay,Normal,Male,Home and lifestyle,44.12,3,6.618,138.978,3/18/2019,13:45,Credit card,132.36,4.761904762,6.618,7.9
+592-46-1692,C,Naypyitaw,Member,Female,Food and beverages,36.77,7,12.8695,270.2595,1/11/2019,20:10,Cash,257.39,4.761904762,12.8695,7.4
+434-35-9162,B,Mandalay,Member,Male,Food and beverages,23.34,4,4.668,98.028,2/4/2019,18:53,Ewallet,93.36,4.761904762,4.668,7.4
+149-14-0304,C,Naypyitaw,Member,Female,Health and beauty,28.5,8,11.4,239.4,2/6/2019,14:24,Cash,228,4.761904762,11.4,6.6
+442-44-6497,C,Naypyitaw,Member,Male,Home and lifestyle,55.57,3,8.3355,175.0455,1/8/2019,11:42,Credit card,166.71,4.761904762,8.3355,5.9
+174-64-0215,B,Mandalay,Normal,Male,Sports and travel,69.74,10,34.87,732.27,3/5/2019,17:49,Credit card,697.4,4.761904762,34.87,8.9
+210-74-9613,C,Naypyitaw,Normal,Male,Fashion accessories,97.26,4,19.452,408.492,3/16/2019,15:33,Ewallet,389.04,4.761904762,19.452,6.8
+299-29-0180,B,Mandalay,Member,Female,Home and lifestyle,52.18,7,18.263,383.523,3/9/2019,10:54,Cash,365.26,4.761904762,18.263,9.3
+247-11-2470,A,Yangon,Member,Female,Fashion accessories,22.32,4,4.464,93.744,3/1/2019,16:23,Credit card,89.28,4.761904762,4.464,4.4
+635-28-5728,A,Yangon,Normal,Male,Health and beauty,56,3,8.4,176.4,2/28/2019,19:33,Ewallet,168,4.761904762,8.4,4.8
+756-49-0168,A,Yangon,Member,Male,Fashion accessories,19.7,1,0.985,20.685,2/8/2019,11:39,Ewallet,19.7,4.761904762,0.985,9.5
+438-23-1242,B,Mandalay,Normal,Male,Electronic accessories,75.88,7,26.558,557.718,1/24/2019,10:38,Ewallet,531.16,4.761904762,26.558,8.9
+238-45-6950,B,Mandalay,Member,Male,Food and beverages,53.72,1,2.686,56.406,3/1/2019,20:03,Ewallet,53.72,4.761904762,2.686,6.4
+607-65-2441,C,Naypyitaw,Member,Male,Health and beauty,81.95,10,40.975,860.475,3/10/2019,12:39,Credit card,819.5,4.761904762,40.975,6
+386-27-7606,C,Naypyitaw,Member,Female,Home and lifestyle,81.2,7,28.42,596.82,3/23/2019,15:59,Credit card,568.4,4.761904762,28.42,8.1
+137-63-5492,C,Naypyitaw,Normal,Male,Electronic accessories,58.76,10,29.38,616.98,1/29/2019,14:26,Ewallet,587.6,4.761904762,29.38,9
+197-77-7132,B,Mandalay,Member,Male,Electronic accessories,91.56,8,36.624,769.104,1/12/2019,18:22,Ewallet,732.48,4.761904762,36.624,6
+805-86-0265,A,Yangon,Normal,Male,Home and lifestyle,93.96,9,42.282,887.922,3/20/2019,11:32,Cash,845.64,4.761904762,42.282,9.8
+733-29-1227,C,Naypyitaw,Normal,Male,Home and lifestyle,55.61,7,19.4635,408.7335,3/23/2019,12:41,Cash,389.27,4.761904762,19.4635,8.5
+451-73-2711,C,Naypyitaw,Normal,Male,Food and beverages,84.83,1,4.2415,89.0715,1/14/2019,15:20,Ewallet,84.83,4.761904762,4.2415,8.8
+373-14-0504,A,Yangon,Member,Female,Sports and travel,71.63,2,7.163,150.423,2/12/2019,14:33,Ewallet,143.26,4.761904762,7.163,8.8
+546-80-2899,A,Yangon,Member,Male,Home and lifestyle,37.69,2,3.769,79.149,2/20/2019,15:29,Ewallet,75.38,4.761904762,3.769,9.5
+345-68-9016,C,Naypyitaw,Member,Female,Sports and travel,31.67,8,12.668,266.028,1/2/2019,16:19,Credit card,253.36,4.761904762,12.668,5.6
+390-17-5806,C,Naypyitaw,Member,Female,Food and beverages,38.42,1,1.921,40.341,2/2/2019,16:33,Cash,38.42,4.761904762,1.921,8.6
+457-13-1708,B,Mandalay,Member,Male,Fashion accessories,65.23,10,32.615,684.915,1/8/2019,19:07,Credit card,652.3,4.761904762,32.615,5.2
+664-14-2882,C,Naypyitaw,Member,Female,Home and lifestyle,10.53,5,2.6325,55.2825,1/30/2019,14:43,Credit card,52.65,4.761904762,2.6325,5.8
+487-79-6868,B,Mandalay,Member,Female,Home and lifestyle,12.29,9,5.5305,116.1405,3/26/2019,19:28,Credit card,110.61,4.761904762,5.5305,8
+314-23-4520,C,Naypyitaw,Member,Male,Health and beauty,81.23,7,28.4305,597.0405,1/15/2019,20:44,Cash,568.61,4.761904762,28.4305,9
+210-30-7976,B,Mandalay,Member,Female,Fashion accessories,22.32,4,4.464,93.744,3/14/2019,11:16,Ewallet,89.28,4.761904762,4.464,4.1
+585-86-8361,A,Yangon,Normal,Female,Food and beverages,27.28,5,6.82,143.22,2/3/2019,10:31,Credit card,136.4,4.761904762,6.82,8.6
+807-14-7833,A,Yangon,Member,Female,Electronic accessories,17.42,10,8.71,182.91,2/22/2019,12:30,Ewallet,174.2,4.761904762,8.71,7
+775-72-1988,B,Mandalay,Normal,Male,Home and lifestyle,73.28,5,18.32,384.72,1/24/2019,15:05,Ewallet,366.4,4.761904762,18.32,8.4
+288-38-3758,C,Naypyitaw,Member,Female,Fashion accessories,84.87,3,12.7305,267.3405,1/25/2019,18:30,Ewallet,254.61,4.761904762,12.7305,7.4
+652-43-6591,A,Yangon,Normal,Female,Fashion accessories,97.29,8,38.916,817.236,3/9/2019,13:18,Credit card,778.32,4.761904762,38.916,6.2
+785-96-0615,B,Mandalay,Member,Female,Electronic accessories,35.74,8,14.296,300.216,2/17/2019,15:28,Ewallet,285.92,4.761904762,14.296,4.9
+406-46-7107,A,Yangon,Normal,Female,Home and lifestyle,96.52,6,28.956,608.076,1/11/2019,11:52,Cash,579.12,4.761904762,28.956,4.5
+250-17-5703,A,Yangon,Member,Male,Food and beverages,18.85,10,9.425,197.925,2/27/2019,18:24,Ewallet,188.5,4.761904762,9.425,5.6
+156-95-3964,A,Yangon,Normal,Female,Food and beverages,55.39,4,11.078,232.638,3/25/2019,15:19,Ewallet,221.56,4.761904762,11.078,8
+842-40-8179,B,Mandalay,Member,Female,Food and beverages,77.2,10,38.6,810.6,2/11/2019,10:38,Credit card,772,4.761904762,38.6,5.6
+525-09-8450,B,Mandalay,Normal,Male,Electronic accessories,72.13,10,36.065,757.365,1/31/2019,15:12,Credit card,721.3,4.761904762,36.065,4.2
+410-67-1709,A,Yangon,Member,Female,Fashion accessories,63.88,8,25.552,536.592,1/20/2019,17:48,Ewallet,511.04,4.761904762,25.552,9.9
+587-73-4862,A,Yangon,Member,Female,Health and beauty,10.69,5,2.6725,56.1225,3/26/2019,11:07,Ewallet,53.45,4.761904762,2.6725,7.6
+787-87-2010,A,Yangon,Member,Male,Health and beauty,55.5,4,11.1,233.1,1/20/2019,15:48,Credit card,222,4.761904762,11.1,6.6
+593-14-4239,B,Mandalay,Normal,Female,Home and lifestyle,95.46,8,38.184,801.864,3/5/2019,19:40,Ewallet,763.68,4.761904762,38.184,4.7
+801-88-0346,C,Naypyitaw,Normal,Female,Fashion accessories,76.06,3,11.409,239.589,1/5/2019,20:30,Credit card,228.18,4.761904762,11.409,9.8
+388-76-2555,B,Mandalay,Normal,Male,Sports and travel,13.69,6,4.107,86.247,2/13/2019,13:59,Cash,82.14,4.761904762,4.107,6.3
+711-31-1234,B,Mandalay,Normal,Female,Electronic accessories,95.64,4,19.128,401.688,3/16/2019,18:51,Cash,382.56,4.761904762,19.128,7.9
+886-54-6089,A,Yangon,Normal,Female,Home and lifestyle,11.43,6,3.429,72.009,1/15/2019,17:24,Cash,68.58,4.761904762,3.429,7.7
+707-32-7409,B,Mandalay,Member,Female,Sports and travel,95.54,4,19.108,401.268,2/26/2019,11:58,Ewallet,382.16,4.761904762,19.108,4.5
+759-98-4285,C,Naypyitaw,Member,Female,Health and beauty,85.87,7,30.0545,631.1445,2/27/2019,19:01,Credit card,601.09,4.761904762,30.0545,8
+201-63-8275,C,Naypyitaw,Member,Female,Sports and travel,67.99,7,23.7965,499.7265,2/17/2019,16:50,Ewallet,475.93,4.761904762,23.7965,5.7
+471-06-8611,C,Naypyitaw,Normal,Female,Food and beverages,52.42,1,2.621,55.041,2/6/2019,10:22,Credit card,52.42,4.761904762,2.621,6.3
+200-16-5952,C,Naypyitaw,Member,Male,Food and beverages,65.65,2,6.565,137.865,1/17/2019,16:46,Cash,131.3,4.761904762,6.565,6
+120-54-2248,B,Mandalay,Normal,Female,Food and beverages,28.86,5,7.215,151.515,1/22/2019,18:08,Credit card,144.3,4.761904762,7.215,8
+102-77-2261,C,Naypyitaw,Member,Male,Health and beauty,65.31,7,22.8585,480.0285,3/5/2019,18:02,Credit card,457.17,4.761904762,22.8585,4.2
+875-31-8302,B,Mandalay,Normal,Male,Sports and travel,93.38,1,4.669,98.049,1/3/2019,13:07,Cash,93.38,4.761904762,4.669,9.6
+102-06-2002,C,Naypyitaw,Member,Male,Sports and travel,25.25,5,6.3125,132.5625,3/20/2019,17:52,Cash,126.25,4.761904762,6.3125,6.1
+457-94-0464,B,Mandalay,Member,Male,Electronic accessories,87.87,9,39.5415,830.3715,1/31/2019,20:32,Ewallet,790.83,4.761904762,39.5415,5.6
+629-42-4133,C,Naypyitaw,Normal,Male,Health and beauty,21.8,8,8.72,183.12,2/19/2019,19:24,Cash,174.4,4.761904762,8.72,8.3
+534-53-3526,A,Yangon,Normal,Female,Sports and travel,94.76,4,18.952,397.992,2/11/2019,16:06,Ewallet,379.04,4.761904762,18.952,7.8
+307-04-2070,A,Yangon,Member,Female,Fashion accessories,30.62,1,1.531,32.151,2/5/2019,14:14,Credit card,30.62,4.761904762,1.531,4.1
+468-99-7231,C,Naypyitaw,Normal,Female,Home and lifestyle,44.01,8,17.604,369.684,3/3/2019,17:36,Cash,352.08,4.761904762,17.604,8.8
+516-77-6464,C,Naypyitaw,Member,Female,Health and beauty,10.16,5,2.54,53.34,2/24/2019,13:08,Ewallet,50.8,4.761904762,2.54,4.1
+404-91-5964,A,Yangon,Normal,Male,Electronic accessories,74.58,7,26.103,548.163,2/4/2019,16:09,Credit card,522.06,4.761904762,26.103,9
+886-77-9084,C,Naypyitaw,Normal,Male,Electronic accessories,71.89,8,28.756,603.876,2/19/2019,11:33,Ewallet,575.12,4.761904762,28.756,5.5
+790-38-4466,C,Naypyitaw,Normal,Female,Health and beauty,10.99,5,2.7475,57.6975,1/23/2019,10:18,Credit card,54.95,4.761904762,2.7475,9.3
+704-10-4056,C,Naypyitaw,Member,Male,Health and beauty,60.47,3,9.0705,190.4805,1/14/2019,10:55,Credit card,181.41,4.761904762,9.0705,5.6
+497-37-6538,A,Yangon,Normal,Male,Sports and travel,58.91,7,20.6185,432.9885,1/17/2019,15:15,Ewallet,412.37,4.761904762,20.6185,9.7
+651-96-5970,A,Yangon,Normal,Male,Fashion accessories,46.41,1,2.3205,48.7305,3/3/2019,20:06,Credit card,46.41,4.761904762,2.3205,4
+400-80-4065,C,Naypyitaw,Member,Male,Health and beauty,68.55,4,13.71,287.91,2/15/2019,20:21,Credit card,274.2,4.761904762,13.71,9.2
+744-16-7898,B,Mandalay,Normal,Female,Home and lifestyle,97.37,10,48.685,1022.385,1/15/2019,13:48,Credit card,973.7,4.761904762,48.685,4.9
+263-12-5321,A,Yangon,Member,Male,Electronic accessories,92.6,7,32.41,680.61,2/27/2019,12:52,Credit card,648.2,4.761904762,32.41,9.3
+702-72-0487,A,Yangon,Normal,Female,Electronic accessories,46.61,2,4.661,97.881,2/26/2019,12:28,Credit card,93.22,4.761904762,4.661,6.6
+605-83-1050,B,Mandalay,Normal,Male,Fashion accessories,27.18,2,2.718,57.078,3/15/2019,16:26,Ewallet,54.36,4.761904762,2.718,4.3
+443-60-9639,C,Naypyitaw,Member,Female,Home and lifestyle,60.87,1,3.0435,63.9135,1/24/2019,13:24,Cash,60.87,4.761904762,3.0435,5.5
+864-24-7918,A,Yangon,Member,Female,Sports and travel,24.49,10,12.245,257.145,2/22/2019,15:15,Cash,244.9,4.761904762,12.245,8.1
+359-94-5395,B,Mandalay,Normal,Male,Health and beauty,92.78,1,4.639,97.419,3/15/2019,10:50,Credit card,92.78,4.761904762,4.639,9.8
+401-09-4232,C,Naypyitaw,Member,Male,Home and lifestyle,86.69,5,21.6725,455.1225,2/11/2019,18:38,Ewallet,433.45,4.761904762,21.6725,9.4
+751-15-6198,B,Mandalay,Normal,Male,Sports and travel,23.01,6,6.903,144.963,1/12/2019,16:45,Ewallet,138.06,4.761904762,6.903,7.9
+324-41-6833,C,Naypyitaw,Member,Female,Electronic accessories,30.2,8,12.08,253.68,3/3/2019,19:30,Ewallet,241.6,4.761904762,12.08,5.1
+474-33-8305,C,Naypyitaw,Member,Male,Fashion accessories,67.39,7,23.5865,495.3165,3/23/2019,13:23,Ewallet,471.73,4.761904762,23.5865,6.9
+759-29-9521,A,Yangon,Member,Female,Fashion accessories,48.96,9,22.032,462.672,3/4/2019,11:27,Cash,440.64,4.761904762,22.032,8
+831-81-6575,B,Mandalay,Member,Female,Electronic accessories,75.59,9,34.0155,714.3255,2/23/2019,11:12,Cash,680.31,4.761904762,34.0155,8
+220-68-6701,A,Yangon,Normal,Female,Home and lifestyle,77.47,4,15.494,325.374,3/17/2019,16:36,Cash,309.88,4.761904762,15.494,4.2
+618-34-8551,A,Yangon,Normal,Female,Sports and travel,93.18,2,9.318,195.678,1/16/2019,18:41,Credit card,186.36,4.761904762,9.318,8.5
+257-60-7754,A,Yangon,Normal,Female,Electronic accessories,50.23,4,10.046,210.966,1/8/2019,17:12,Cash,200.92,4.761904762,10.046,9
+559-61-5987,B,Mandalay,Normal,Female,Health and beauty,17.75,1,0.8875,18.6375,1/14/2019,10:38,Cash,17.75,4.761904762,0.8875,8.6
+189-55-2313,C,Naypyitaw,Normal,Female,Fashion accessories,62.18,10,31.09,652.89,1/31/2019,10:33,Ewallet,621.8,4.761904762,31.09,6
+565-91-4567,B,Mandalay,Normal,Male,Health and beauty,10.75,8,4.3,90.3,3/15/2019,14:38,Ewallet,86,4.761904762,4.3,6.2
+380-60-5336,A,Yangon,Normal,Female,Electronic accessories,40.26,10,20.13,422.73,2/24/2019,18:06,Credit card,402.6,4.761904762,20.13,5
+815-04-6282,C,Naypyitaw,Member,Female,Sports and travel,64.97,5,16.2425,341.0925,2/8/2019,12:52,Credit card,324.85,4.761904762,16.2425,6.5
+674-56-6360,A,Yangon,Normal,Male,Electronic accessories,95.15,1,4.7575,99.9075,3/22/2019,14:00,Cash,95.15,4.761904762,4.7575,6
+778-34-2523,A,Yangon,Member,Female,Electronic accessories,48.62,8,19.448,408.408,1/24/2019,10:57,Cash,388.96,4.761904762,19.448,5
+499-27-7781,B,Mandalay,Normal,Female,Food and beverages,53.21,8,21.284,446.964,3/14/2019,16:45,Ewallet,425.68,4.761904762,21.284,5
+477-59-2456,C,Naypyitaw,Normal,Female,Fashion accessories,45.44,7,15.904,333.984,1/23/2019,11:15,Cash,318.08,4.761904762,15.904,9.2
+832-51-6761,A,Yangon,Normal,Male,Food and beverages,33.88,8,13.552,284.592,1/19/2019,20:29,Ewallet,271.04,4.761904762,13.552,9.6
+869-11-3082,B,Mandalay,Member,Male,Health and beauty,96.16,4,19.232,403.872,1/27/2019,20:03,Credit card,384.64,4.761904762,19.232,8.4
+190-59-3964,B,Mandalay,Member,Male,Food and beverages,47.16,5,11.79,247.59,2/3/2019,14:35,Credit card,235.8,4.761904762,11.79,6
+366-43-6862,B,Mandalay,Normal,Male,Electronic accessories,52.89,4,10.578,222.138,3/25/2019,16:32,Ewallet,211.56,4.761904762,10.578,6.7
+186-43-8965,A,Yangon,Member,Female,Home and lifestyle,47.68,2,4.768,100.128,2/24/2019,10:10,Credit card,95.36,4.761904762,4.768,4.1
+784-21-9238,C,Naypyitaw,Member,Male,Sports and travel,10.17,1,0.5085,10.6785,2/7/2019,14:15,Cash,10.17,4.761904762,0.5085,5.9
+276-75-6884,A,Yangon,Normal,Female,Health and beauty,68.71,3,10.3065,216.4365,3/4/2019,10:05,Cash,206.13,4.761904762,10.3065,8.7
+109-86-4363,B,Mandalay,Member,Female,Sports and travel,60.08,7,21.028,441.588,2/14/2019,11:36,Credit card,420.56,4.761904762,21.028,4.5
+569-76-2760,A,Yangon,Member,Female,Sports and travel,22.01,4,4.402,92.442,1/29/2019,18:15,Credit card,88.04,4.761904762,4.402,6.6
+222-42-0244,B,Mandalay,Member,Female,Health and beauty,72.11,9,32.4495,681.4395,1/28/2019,13:53,Credit card,648.99,4.761904762,32.4495,7.7
+760-53-9233,A,Yangon,Member,Male,Fashion accessories,41.28,3,6.192,130.032,3/26/2019,18:37,Credit card,123.84,4.761904762,6.192,8.5
+538-22-0304,C,Naypyitaw,Normal,Male,Electronic accessories,64.95,10,32.475,681.975,3/24/2019,18:27,Cash,649.5,4.761904762,32.475,5.2
+416-17-9926,A,Yangon,Member,Female,Electronic accessories,74.22,10,37.11,779.31,1/1/2019,14:42,Credit card,742.2,4.761904762,37.11,4.3
+237-44-6163,A,Yangon,Normal,Male,Electronic accessories,10.56,8,4.224,88.704,1/24/2019,17:43,Cash,84.48,4.761904762,4.224,7.6
+636-17-0325,B,Mandalay,Normal,Male,Health and beauty,62.57,4,12.514,262.794,2/25/2019,18:37,Cash,250.28,4.761904762,12.514,9.5
+343-75-9322,B,Mandalay,Member,Female,Sports and travel,11.85,8,4.74,99.54,1/9/2019,16:34,Cash,94.8,4.761904762,4.74,4.1
+528-14-9470,A,Yangon,Member,Male,Health and beauty,91.3,1,4.565,95.865,2/14/2019,14:42,Ewallet,91.3,4.761904762,4.565,9.2
+427-45-9297,B,Mandalay,Member,Female,Home and lifestyle,40.73,7,14.2555,299.3655,3/12/2019,11:01,Ewallet,285.11,4.761904762,14.2555,5.4
+807-34-3742,A,Yangon,Normal,Male,Fashion accessories,52.38,1,2.619,54.999,3/26/2019,19:44,Cash,52.38,4.761904762,2.619,5.8
+288-62-1085,A,Yangon,Member,Male,Fashion accessories,38.54,5,9.635,202.335,1/9/2019,13:34,Ewallet,192.7,4.761904762,9.635,5.6
+670-71-7306,B,Mandalay,Normal,Male,Sports and travel,44.63,6,13.389,281.169,1/2/2019,20:08,Credit card,267.78,4.761904762,13.389,5.1
+660-29-7083,C,Naypyitaw,Normal,Male,Electronic accessories,55.87,10,27.935,586.635,1/15/2019,15:01,Cash,558.7,4.761904762,27.935,5.8
+271-77-8740,C,Naypyitaw,Member,Female,Sports and travel,29.22,6,8.766,184.086,1/1/2019,11:40,Ewallet,175.32,4.761904762,8.766,5
+497-36-0989,A,Yangon,Normal,Male,Fashion accessories,51.94,3,7.791,163.611,2/15/2019,15:21,Cash,155.82,4.761904762,7.791,7.9
+291-59-1384,B,Mandalay,Normal,Male,Electronic accessories,60.3,1,3.015,63.315,2/28/2019,17:38,Cash,60.3,4.761904762,3.015,6
+860-73-6466,A,Yangon,Member,Female,Sports and travel,39.47,2,3.947,82.887,3/2/2019,16:16,Credit card,78.94,4.761904762,3.947,5
+549-23-9016,C,Naypyitaw,Member,Female,Food and beverages,14.87,2,1.487,31.227,2/13/2019,18:15,Credit card,29.74,4.761904762,1.487,8.9
+896-34-0956,A,Yangon,Normal,Male,Fashion accessories,21.32,1,1.066,22.386,1/26/2019,12:43,Cash,21.32,4.761904762,1.066,5.9
+804-38-3935,A,Yangon,Member,Male,Electronic accessories,93.78,3,14.067,295.407,1/30/2019,11:32,Credit card,281.34,4.761904762,14.067,5.9
+585-90-0249,A,Yangon,Member,Male,Electronic accessories,73.26,1,3.663,76.923,1/27/2019,18:08,Ewallet,73.26,4.761904762,3.663,9.7
+862-29-5914,C,Naypyitaw,Normal,Female,Sports and travel,22.38,1,1.119,23.499,1/30/2019,17:08,Credit card,22.38,4.761904762,1.119,8.6
+845-94-6841,C,Naypyitaw,Member,Female,Food and beverages,72.88,9,32.796,688.716,1/8/2019,19:38,Cash,655.92,4.761904762,32.796,4
+125-45-2293,A,Yangon,Normal,Female,Fashion accessories,99.1,6,29.73,624.33,1/19/2019,13:11,Cash,594.6,4.761904762,29.73,4.2
+843-73-4724,A,Yangon,Normal,Male,Fashion accessories,74.1,1,3.705,77.805,1/25/2019,11:05,Cash,74.1,4.761904762,3.705,9.2
+409-33-9708,A,Yangon,Normal,Female,Fashion accessories,98.48,2,9.848,206.808,2/19/2019,10:12,Ewallet,196.96,4.761904762,9.848,9.2
+658-66-3967,C,Naypyitaw,Normal,Male,Health and beauty,53.19,7,18.6165,390.9465,1/14/2019,15:42,Ewallet,372.33,4.761904762,18.6165,5
+866-70-2814,B,Mandalay,Normal,Female,Electronic accessories,52.79,10,26.395,554.295,2/25/2019,11:58,Ewallet,527.9,4.761904762,26.395,10
+160-22-2687,A,Yangon,Member,Female,Health and beauty,95.95,5,23.9875,503.7375,1/23/2019,14:21,Ewallet,479.75,4.761904762,23.9875,8.8
+895-03-6665,B,Mandalay,Normal,Female,Fashion accessories,36.51,9,16.4295,345.0195,2/16/2019,10:52,Cash,328.59,4.761904762,16.4295,4.2
+770-42-8960,B,Mandalay,Normal,Male,Food and beverages,21.12,8,8.448,177.408,1/1/2019,19:31,Cash,168.96,4.761904762,8.448,6.3
+748-45-2862,A,Yangon,Member,Female,Home and lifestyle,28.31,4,5.662,118.902,3/7/2019,18:35,Cash,113.24,4.761904762,5.662,8.2
+234-36-2483,B,Mandalay,Normal,Male,Health and beauty,57.59,6,17.277,362.817,2/15/2019,13:51,Cash,345.54,4.761904762,17.277,5.1
+316-66-3011,A,Yangon,Member,Female,Food and beverages,47.63,9,21.4335,450.1035,1/23/2019,12:35,Cash,428.67,4.761904762,21.4335,5
+848-95-6252,C,Naypyitaw,Member,Female,Home and lifestyle,86.27,1,4.3135,90.5835,2/20/2019,13:24,Ewallet,86.27,4.761904762,4.3135,7
+840-76-5966,A,Yangon,Member,Male,Sports and travel,12.76,2,1.276,26.796,1/8/2019,18:06,Ewallet,25.52,4.761904762,1.276,7.8
+152-03-4217,B,Mandalay,Normal,Female,Home and lifestyle,11.28,9,5.076,106.596,3/17/2019,11:55,Credit card,101.52,4.761904762,5.076,4.3
+533-66-5566,B,Mandalay,Normal,Female,Home and lifestyle,51.07,7,17.8745,375.3645,1/12/2019,11:42,Cash,357.49,4.761904762,17.8745,7
+124-31-1458,A,Yangon,Member,Female,Electronic accessories,79.59,3,11.9385,250.7085,1/8/2019,14:30,Cash,238.77,4.761904762,11.9385,6.6
+176-78-1170,C,Naypyitaw,Member,Male,Health and beauty,33.81,3,5.0715,106.5015,1/26/2019,15:11,Ewallet,101.43,4.761904762,5.0715,7.3
+361-59-0574,B,Mandalay,Member,Male,Sports and travel,90.53,8,36.212,760.452,3/15/2019,14:48,Credit card,724.24,4.761904762,36.212,6.5
+101-81-4070,C,Naypyitaw,Member,Female,Health and beauty,62.82,2,6.282,131.922,1/17/2019,12:36,Ewallet,125.64,4.761904762,6.282,4.9
+631-34-1880,C,Naypyitaw,Member,Male,Food and beverages,24.31,3,3.6465,76.5765,1/8/2019,19:09,Credit card,72.93,4.761904762,3.6465,4.3
+852-82-2749,A,Yangon,Normal,Male,Sports and travel,64.59,4,12.918,271.278,1/6/2019,13:35,Ewallet,258.36,4.761904762,12.918,9.3
+873-14-6353,A,Yangon,Member,Male,Food and beverages,24.82,7,8.687,182.427,2/16/2019,10:33,Credit card,173.74,4.761904762,8.687,7.1
+584-66-4073,C,Naypyitaw,Normal,Male,Fashion accessories,56.5,1,2.825,59.325,3/13/2019,15:45,Ewallet,56.5,4.761904762,2.825,9.6
+544-55-9589,B,Mandalay,Member,Female,Electronic accessories,21.43,10,10.715,225.015,1/28/2019,11:51,Cash,214.3,4.761904762,10.715,6.2
+166-19-2553,A,Yangon,Member,Male,Sports and travel,89.06,6,26.718,561.078,1/18/2019,17:26,Cash,534.36,4.761904762,26.718,9.9
+737-88-5876,A,Yangon,Member,Male,Home and lifestyle,23.29,4,4.658,97.818,3/19/2019,11:52,Credit card,93.16,4.761904762,4.658,5.9
+154-87-7367,C,Naypyitaw,Normal,Male,Home and lifestyle,65.26,8,26.104,548.184,3/15/2019,14:04,Ewallet,522.08,4.761904762,26.104,6.3
+885-56-0389,C,Naypyitaw,Member,Male,Fashion accessories,52.35,1,2.6175,54.9675,2/12/2019,17:49,Cash,52.35,4.761904762,2.6175,4
+608-05-3804,B,Mandalay,Member,Male,Electronic accessories,39.75,1,1.9875,41.7375,2/25/2019,20:19,Cash,39.75,4.761904762,1.9875,6.1
+448-61-3783,A,Yangon,Normal,Female,Electronic accessories,90.02,8,36.008,756.168,3/21/2019,16:08,Credit card,720.16,4.761904762,36.008,4.5
+761-49-0439,B,Mandalay,Member,Female,Electronic accessories,12.1,8,4.84,101.64,1/19/2019,10:17,Ewallet,96.8,4.761904762,4.84,8.6
+490-95-0021,B,Mandalay,Member,Female,Food and beverages,33.21,10,16.605,348.705,1/8/2019,14:25,Ewallet,332.1,4.761904762,16.605,6
+115-38-7388,C,Naypyitaw,Member,Female,Fashion accessories,10.18,8,4.072,85.512,3/30/2019,12:51,Credit card,81.44,4.761904762,4.072,9.5
+311-13-6971,B,Mandalay,Member,Male,Sports and travel,31.99,10,15.995,335.895,2/20/2019,15:18,Credit card,319.9,4.761904762,15.995,9.9
+291-55-6563,A,Yangon,Member,Female,Home and lifestyle,34.42,6,10.326,216.846,3/30/2019,12:45,Ewallet,206.52,4.761904762,10.326,7.5
+548-48-3156,A,Yangon,Member,Female,Food and beverages,83.34,2,8.334,175.014,3/19/2019,13:37,Cash,166.68,4.761904762,8.334,7.6
+460-93-5834,A,Yangon,Normal,Male,Sports and travel,45.58,7,15.953,335.013,1/13/2019,10:03,Cash,319.06,4.761904762,15.953,5
+325-89-4209,A,Yangon,Member,Male,Food and beverages,87.9,1,4.395,92.295,2/5/2019,19:42,Ewallet,87.9,4.761904762,4.395,6.7
+884-80-6021,A,Yangon,Member,Female,Electronic accessories,73.47,10,36.735,771.435,3/23/2019,13:14,Ewallet,734.7,4.761904762,36.735,9.5
+137-74-8729,C,Naypyitaw,Normal,Female,Fashion accessories,12.19,8,4.876,102.396,3/13/2019,12:47,Ewallet,97.52,4.761904762,4.876,6.8
+880-46-5796,A,Yangon,Member,Male,Sports and travel,76.92,10,38.46,807.66,3/17/2019,19:53,Ewallet,769.2,4.761904762,38.46,5.6
+389-70-2397,C,Naypyitaw,Normal,Female,Health and beauty,83.66,5,20.915,439.215,2/21/2019,10:26,Cash,418.3,4.761904762,20.915,7.2
+114-35-5271,B,Mandalay,Normal,Female,Electronic accessories,57.91,8,23.164,486.444,2/7/2019,15:06,Cash,463.28,4.761904762,23.164,8.1
+607-76-6216,C,Naypyitaw,Member,Female,Fashion accessories,92.49,5,23.1225,485.5725,3/2/2019,16:35,Credit card,462.45,4.761904762,23.1225,8.6
+715-20-1673,B,Mandalay,Normal,Male,Electronic accessories,28.38,5,7.095,148.995,3/6/2019,20:57,Cash,141.9,4.761904762,7.095,9.4
+811-35-1094,B,Mandalay,Member,Male,Electronic accessories,50.45,6,15.135,317.835,2/6/2019,15:16,Credit card,302.7,4.761904762,15.135,8.9
+699-88-1972,B,Mandalay,Normal,Male,Health and beauty,99.16,8,39.664,832.944,1/28/2019,17:47,Credit card,793.28,4.761904762,39.664,4.2
+781-84-8059,C,Naypyitaw,Normal,Male,Fashion accessories,60.74,7,21.259,446.439,1/18/2019,16:23,Ewallet,425.18,4.761904762,21.259,5
+409-49-6995,C,Naypyitaw,Member,Female,Food and beverages,47.27,6,14.181,297.801,2/5/2019,10:17,Cash,283.62,4.761904762,14.181,8.8
+725-54-0677,C,Naypyitaw,Member,Male,Health and beauty,85.6,7,29.96,629.16,3/2/2019,13:50,Cash,599.2,4.761904762,29.96,5.3
+146-09-5432,A,Yangon,Member,Male,Food and beverages,35.04,9,15.768,331.128,2/9/2019,19:17,Ewallet,315.36,4.761904762,15.768,4.6
+377-79-7592,C,Naypyitaw,Member,Female,Electronic accessories,44.84,9,20.178,423.738,1/14/2019,14:00,Credit card,403.56,4.761904762,20.178,7.5
+509-10-0516,B,Mandalay,Normal,Male,Home and lifestyle,45.97,4,9.194,193.074,2/9/2019,12:02,Ewallet,183.88,4.761904762,9.194,5.1
+595-94-9924,A,Yangon,Member,Female,Health and beauty,27.73,5,6.9325,145.5825,3/26/2019,20:21,Credit card,138.65,4.761904762,6.9325,4.2
+865-41-9075,A,Yangon,Normal,Male,Food and beverages,11.53,7,4.0355,84.7455,1/28/2019,17:35,Cash,80.71,4.761904762,4.0355,8.1
+545-07-8534,C,Naypyitaw,Normal,Female,Health and beauty,58.32,2,5.832,122.472,2/14/2019,12:42,Ewallet,116.64,4.761904762,5.832,6
+118-62-1812,C,Naypyitaw,Member,Female,Home and lifestyle,78.38,4,15.676,329.196,3/24/2019,17:56,Cash,313.52,4.761904762,15.676,7.9
+450-42-3339,C,Naypyitaw,Normal,Male,Health and beauty,84.61,10,42.305,888.405,2/9/2019,18:58,Credit card,846.1,4.761904762,42.305,8.8
+851-98-3555,B,Mandalay,Normal,Female,Health and beauty,82.88,5,20.72,435.12,3/24/2019,14:08,Credit card,414.4,4.761904762,20.72,6.6
+186-71-5196,A,Yangon,Member,Female,Food and beverages,79.54,2,7.954,167.034,3/27/2019,16:30,Ewallet,159.08,4.761904762,7.954,6.2
+624-01-8356,B,Mandalay,Normal,Female,Home and lifestyle,49.01,10,24.505,514.605,1/27/2019,10:44,Credit card,490.1,4.761904762,24.505,4.2
+313-66-9943,B,Mandalay,Member,Female,Food and beverages,29.15,3,4.3725,91.8225,3/27/2019,20:29,Credit card,87.45,4.761904762,4.3725,7.3
+151-27-8496,C,Naypyitaw,Normal,Female,Electronic accessories,56.13,4,11.226,235.746,1/19/2019,11:43,Ewallet,224.52,4.761904762,11.226,8.6
+453-33-6436,A,Yangon,Normal,Female,Home and lifestyle,93.12,8,37.248,782.208,2/7/2019,10:09,Cash,744.96,4.761904762,37.248,6.8
+522-57-8364,A,Yangon,Member,Male,Fashion accessories,51.34,8,20.536,431.256,1/31/2019,10:00,Ewallet,410.72,4.761904762,20.536,7.6
+459-45-2396,A,Yangon,Member,Female,Food and beverages,99.6,3,14.94,313.74,2/25/2019,18:45,Cash,298.8,4.761904762,14.94,5.8
+717-96-4189,C,Naypyitaw,Normal,Female,Electronic accessories,35.49,6,10.647,223.587,2/2/2019,12:40,Cash,212.94,4.761904762,10.647,4.1
+722-13-2115,C,Naypyitaw,Member,Male,Sports and travel,42.85,1,2.1425,44.9925,3/14/2019,15:36,Credit card,42.85,4.761904762,2.1425,9.3
+749-81-8133,A,Yangon,Normal,Female,Fashion accessories,94.67,4,18.934,397.614,3/11/2019,12:04,Cash,378.68,4.761904762,18.934,6.8
+777-67-2495,B,Mandalay,Normal,Male,Home and lifestyle,68.97,3,10.3455,217.2555,2/22/2019,11:26,Ewallet,206.91,4.761904762,10.3455,8.7
+636-98-3364,B,Mandalay,Member,Female,Electronic accessories,26.26,3,3.939,82.719,3/2/2019,12:36,Ewallet,78.78,4.761904762,3.939,6.3
+246-55-6923,C,Naypyitaw,Member,Female,Home and lifestyle,35.79,9,16.1055,338.2155,3/10/2019,15:06,Credit card,322.11,4.761904762,16.1055,5.1
+181-82-6255,B,Mandalay,Normal,Female,Home and lifestyle,16.37,6,4.911,103.131,2/8/2019,10:58,Cash,98.22,4.761904762,4.911,7
+838-02-1821,C,Naypyitaw,Member,Female,Home and lifestyle,12.73,2,1.273,26.733,2/22/2019,12:10,Credit card,25.46,4.761904762,1.273,5.2
+887-42-0517,C,Naypyitaw,Normal,Female,Sports and travel,83.14,7,29.099,611.079,1/10/2019,10:31,Credit card,581.98,4.761904762,29.099,6.6
+457-12-0244,C,Naypyitaw,Member,Female,Sports and travel,35.22,6,10.566,221.886,3/14/2019,13:49,Ewallet,211.32,4.761904762,10.566,6.5
+226-34-0034,B,Mandalay,Normal,Female,Electronic accessories,13.78,4,2.756,57.876,1/10/2019,11:10,Ewallet,55.12,4.761904762,2.756,9
+321-49-7382,B,Mandalay,Member,Male,Sports and travel,88.31,1,4.4155,92.7255,2/15/2019,17:38,Credit card,88.31,4.761904762,4.4155,5.2
+397-25-8725,A,Yangon,Member,Female,Health and beauty,39.62,9,17.829,374.409,1/13/2019,17:54,Credit card,356.58,4.761904762,17.829,6.8
+431-66-2305,B,Mandalay,Normal,Female,Electronic accessories,88.25,9,39.7125,833.9625,2/15/2019,20:51,Credit card,794.25,4.761904762,39.7125,7.6
+825-94-5922,B,Mandalay,Normal,Male,Sports and travel,25.31,2,2.531,53.151,3/2/2019,19:26,Ewallet,50.62,4.761904762,2.531,7.2
+641-62-7288,B,Mandalay,Normal,Male,Home and lifestyle,99.92,6,29.976,629.496,3/24/2019,13:33,Ewallet,599.52,4.761904762,29.976,7.1
+756-93-1854,C,Naypyitaw,Member,Female,Fashion accessories,83.35,2,8.335,175.035,2/2/2019,14:05,Credit card,166.7,4.761904762,8.335,9.5
+243-55-8457,A,Yangon,Normal,Female,Food and beverages,74.44,10,37.22,781.62,2/27/2019,11:40,Ewallet,744.4,4.761904762,37.22,5.1
+458-10-8612,C,Naypyitaw,Normal,Male,Health and beauty,64.08,7,22.428,470.988,1/20/2019,12:27,Ewallet,448.56,4.761904762,22.428,7.6
+501-61-1753,B,Mandalay,Normal,Female,Home and lifestyle,63.15,6,18.945,397.845,1/3/2019,20:24,Ewallet,378.9,4.761904762,18.945,9.8
+235-06-8510,C,Naypyitaw,Member,Male,Home and lifestyle,85.72,3,12.858,270.018,1/24/2019,20:59,Ewallet,257.16,4.761904762,12.858,5.1
+433-08-7822,C,Naypyitaw,Normal,Female,Health and beauty,78.89,7,27.6115,579.8415,1/5/2019,19:48,Ewallet,552.23,4.761904762,27.6115,7.5
+361-85-2571,A,Yangon,Normal,Female,Sports and travel,89.48,5,22.37,469.77,3/30/2019,10:18,Cash,447.4,4.761904762,22.37,7.4
+131-70-8179,A,Yangon,Member,Female,Health and beauty,92.09,3,13.8135,290.0835,2/17/2019,16:27,Cash,276.27,4.761904762,13.8135,4.2
+500-02-2261,C,Naypyitaw,Normal,Female,Food and beverages,57.29,6,17.187,360.927,3/21/2019,17:04,Ewallet,343.74,4.761904762,17.187,5.9
+720-72-2436,A,Yangon,Normal,Male,Food and beverages,66.52,4,13.304,279.384,3/2/2019,18:14,Ewallet,266.08,4.761904762,13.304,6.9
+702-83-5291,C,Naypyitaw,Member,Male,Fashion accessories,99.82,9,44.919,943.299,3/27/2019,10:43,Cash,898.38,4.761904762,44.919,6.6
+809-69-9497,A,Yangon,Normal,Female,Home and lifestyle,45.68,10,22.84,479.64,1/19/2019,19:30,Ewallet,456.8,4.761904762,22.84,5.7
+449-16-6770,A,Yangon,Normal,Male,Health and beauty,50.79,5,12.6975,266.6475,2/19/2019,14:53,Credit card,253.95,4.761904762,12.6975,5.3
+333-23-2632,A,Yangon,Member,Male,Health and beauty,10.08,7,3.528,74.088,3/28/2019,20:14,Cash,70.56,4.761904762,3.528,4.2
+489-82-1237,A,Yangon,Normal,Female,Electronic accessories,93.88,7,32.858,690.018,1/5/2019,11:51,Credit card,657.16,4.761904762,32.858,7.3
+859-97-6048,C,Naypyitaw,Member,Male,Electronic accessories,84.25,2,8.425,176.925,3/26/2019,14:13,Credit card,168.5,4.761904762,8.425,5.3
+676-10-2200,B,Mandalay,Member,Male,Fashion accessories,53.78,1,2.689,56.469,2/3/2019,20:13,Ewallet,53.78,4.761904762,2.689,4.7
+373-88-1424,C,Naypyitaw,Member,Male,Home and lifestyle,35.81,5,8.9525,188.0025,2/6/2019,18:44,Ewallet,179.05,4.761904762,8.9525,7.9
+365-16-4334,B,Mandalay,Normal,Female,Food and beverages,26.43,8,10.572,222.012,2/24/2019,14:26,Ewallet,211.44,4.761904762,10.572,8.9
+503-21-4385,B,Mandalay,Member,Male,Health and beauty,39.91,3,5.9865,125.7165,2/21/2019,12:40,Ewallet,119.73,4.761904762,5.9865,9.3
+305-89-2768,B,Mandalay,Member,Female,Home and lifestyle,21.9,3,3.285,68.985,1/9/2019,18:43,Ewallet,65.7,4.761904762,3.285,4.7
+574-80-1489,B,Mandalay,Member,Female,Food and beverages,62.85,4,12.57,263.97,2/25/2019,13:22,Ewallet,251.4,4.761904762,12.57,8.7
+784-08-0310,C,Naypyitaw,Member,Female,Food and beverages,21.04,4,4.208,88.368,1/13/2019,13:58,Cash,84.16,4.761904762,4.208,7.6
+200-40-6154,B,Mandalay,Member,Male,Home and lifestyle,65.91,6,19.773,415.233,2/9/2019,11:45,Cash,395.46,4.761904762,19.773,5.7
+846-10-0341,A,Yangon,Normal,Female,Fashion accessories,42.57,7,14.8995,312.8895,1/6/2019,11:51,Cash,297.99,4.761904762,14.8995,6.8
+577-34-7579,C,Naypyitaw,Member,Male,Food and beverages,50.49,9,22.7205,477.1305,1/10/2019,17:16,Cash,454.41,4.761904762,22.7205,5.4
+430-02-3888,B,Mandalay,Normal,Male,Electronic accessories,46.02,6,13.806,289.926,2/7/2019,15:55,Cash,276.12,4.761904762,13.806,7.1
+867-47-1948,C,Naypyitaw,Normal,Female,Home and lifestyle,15.8,10,7.9,165.9,1/9/2019,12:07,Cash,158,4.761904762,7.9,7.8
+384-59-6655,A,Yangon,Member,Female,Food and beverages,98.66,9,44.397,932.337,2/19/2019,15:07,Cash,887.94,4.761904762,44.397,8.4
+256-58-3609,C,Naypyitaw,Member,Male,Fashion accessories,91.98,1,4.599,96.579,3/18/2019,15:29,Cash,91.98,4.761904762,4.599,9.8
+324-92-3863,A,Yangon,Member,Male,Electronic accessories,20.89,2,2.089,43.869,2/5/2019,18:45,Cash,41.78,4.761904762,2.089,9.8
+593-08-5916,A,Yangon,Normal,Female,Fashion accessories,15.5,1,0.775,16.275,3/19/2019,15:23,Credit card,15.5,4.761904762,0.775,7.4
+364-34-2972,C,Naypyitaw,Member,Male,Electronic accessories,96.82,3,14.523,304.983,3/30/2019,20:37,Cash,290.46,4.761904762,14.523,6.7
+794-42-3736,B,Mandalay,Normal,Male,Food and beverages,33.33,2,3.333,69.993,1/26/2019,14:41,Credit card,66.66,4.761904762,3.333,6.4
+172-42-8274,B,Mandalay,Normal,Female,Electronic accessories,38.27,2,3.827,80.367,3/2/2019,18:18,Credit card,76.54,4.761904762,3.827,5.8
+558-60-5016,A,Yangon,Normal,Female,Home and lifestyle,33.3,9,14.985,314.685,3/4/2019,15:27,Ewallet,299.7,4.761904762,14.985,7.2
+195-06-0432,A,Yangon,Member,Male,Home and lifestyle,81.01,3,12.1515,255.1815,1/13/2019,12:55,Credit card,243.03,4.761904762,12.1515,9.3
+605-03-2706,A,Yangon,Normal,Female,Health and beauty,15.8,3,2.37,49.77,3/25/2019,18:02,Cash,47.4,4.761904762,2.37,9.5
+214-30-2776,B,Mandalay,Member,Female,Electronic accessories,34.49,5,8.6225,181.0725,3/11/2019,19:44,Credit card,172.45,4.761904762,8.6225,9
+746-04-1077,B,Mandalay,Member,Female,Food and beverages,84.63,10,42.315,888.615,1/1/2019,11:36,Credit card,846.3,4.761904762,42.315,9
+448-34-8700,B,Mandalay,Member,Male,Home and lifestyle,36.91,7,12.9185,271.2885,2/10/2019,13:51,Ewallet,258.37,4.761904762,12.9185,6.7
+452-04-8808,B,Mandalay,Normal,Male,Electronic accessories,87.08,7,30.478,640.038,1/26/2019,15:17,Cash,609.56,4.761904762,30.478,5.5
+531-56-4728,A,Yangon,Normal,Male,Home and lifestyle,80.08,3,12.012,252.252,2/11/2019,15:29,Cash,240.24,4.761904762,12.012,5.4
+744-82-9138,C,Naypyitaw,Normal,Male,Fashion accessories,86.13,2,8.613,180.873,2/7/2019,17:59,Cash,172.26,4.761904762,8.613,8.2
+883-69-1285,B,Mandalay,Member,Male,Fashion accessories,49.92,2,4.992,104.832,3/6/2019,11:55,Credit card,99.84,4.761904762,4.992,7
+221-25-5073,A,Yangon,Normal,Female,Food and beverages,74.66,4,14.932,313.572,3/4/2019,10:39,Cash,298.64,4.761904762,14.932,8.5
+518-71-6847,B,Mandalay,Member,Male,Food and beverages,26.6,6,7.98,167.58,2/26/2019,15:10,Ewallet,159.6,4.761904762,7.98,4.9
+156-20-0370,B,Mandalay,Normal,Female,Electronic accessories,25.45,1,1.2725,26.7225,3/10/2019,18:10,Credit card,25.45,4.761904762,1.2725,5.1
+151-33-7434,B,Mandalay,Normal,Female,Food and beverages,67.77,1,3.3885,71.1585,2/4/2019,20:43,Credit card,67.77,4.761904762,3.3885,6.5
+728-47-9078,C,Naypyitaw,Member,Male,Food and beverages,59.59,4,11.918,250.278,1/19/2019,12:46,Cash,238.36,4.761904762,11.918,9.8
+809-46-1866,A,Yangon,Normal,Male,Health and beauty,58.15,4,11.63,244.23,1/23/2019,17:44,Cash,232.6,4.761904762,11.63,8.4
+139-32-4183,A,Yangon,Member,Female,Sports and travel,97.48,9,43.866,921.186,3/14/2019,14:19,Ewallet,877.32,4.761904762,43.866,7.4
+148-41-7930,C,Naypyitaw,Normal,Male,Health and beauty,99.96,7,34.986,734.706,1/23/2019,10:33,Cash,699.72,4.761904762,34.986,6.1
+189-40-5216,C,Naypyitaw,Normal,Male,Electronic accessories,96.37,7,33.7295,708.3195,1/9/2019,11:40,Cash,674.59,4.761904762,33.7295,6
+374-38-5555,B,Mandalay,Normal,Female,Fashion accessories,63.71,5,15.9275,334.4775,2/7/2019,19:30,Ewallet,318.55,4.761904762,15.9275,8.5
+764-44-8999,B,Mandalay,Normal,Female,Health and beauty,14.76,2,1.476,30.996,2/18/2019,14:42,Ewallet,29.52,4.761904762,1.476,4.3
+552-44-5977,B,Mandalay,Member,Male,Health and beauty,62,8,24.8,520.8,1/3/2019,19:08,Credit card,496,4.761904762,24.8,6.2
+267-62-7380,C,Naypyitaw,Member,Male,Electronic accessories,82.34,10,41.17,864.57,3/29/2019,19:12,Ewallet,823.4,4.761904762,41.17,4.3
+430-53-4718,B,Mandalay,Member,Male,Health and beauty,75.37,8,30.148,633.108,1/28/2019,15:46,Credit card,602.96,4.761904762,30.148,8.4
+886-18-2897,A,Yangon,Normal,Female,Food and beverages,56.56,5,14.14,296.94,3/22/2019,19:06,Credit card,282.8,4.761904762,14.14,4.5
+602-16-6955,B,Mandalay,Normal,Female,Sports and travel,76.6,10,38.3,804.3,1/24/2019,18:10,Ewallet,766,4.761904762,38.3,6
+745-74-0715,A,Yangon,Normal,Male,Electronic accessories,58.03,2,5.803,121.863,3/10/2019,20:46,Ewallet,116.06,4.761904762,5.803,8.8
+690-01-6631,B,Mandalay,Normal,Male,Fashion accessories,17.49,10,8.745,183.645,2/22/2019,18:35,Ewallet,174.9,4.761904762,8.745,6.6
+652-49-6720,C,Naypyitaw,Member,Female,Electronic accessories,60.95,1,3.0475,63.9975,2/18/2019,11:40,Ewallet,60.95,4.761904762,3.0475,5.9
+233-67-5758,C,Naypyitaw,Normal,Male,Health and beauty,40.35,1,2.0175,42.3675,1/29/2019,13:46,Ewallet,40.35,4.761904762,2.0175,6.2
+303-96-2227,B,Mandalay,Normal,Female,Home and lifestyle,97.38,10,48.69,1022.49,3/2/2019,17:16,Ewallet,973.8,4.761904762,48.69,4.4
+727-02-1313,A,Yangon,Member,Male,Food and beverages,31.84,1,1.592,33.432,2/9/2019,13:22,Cash,31.84,4.761904762,1.592,7.7
+347-56-2442,A,Yangon,Normal,Male,Home and lifestyle,65.82,1,3.291,69.111,2/22/2019,15:33,Cash,65.82,4.761904762,3.291,4.1
+849-09-3807,A,Yangon,Member,Female,Fashion accessories,88.34,7,30.919,649.299,2/18/2019,13:28,Cash,618.38,4.761904762,30.919,6.6
\ No newline at end of file
diff --git a/jupyter/Map and Filter in List.ipynb b/jupyter/Map and Filter in List.ipynb
new file mode 100644
index 00000000..c37d93d4
--- /dev/null
+++ b/jupyter/Map and Filter in List.ipynb	
@@ -0,0 +1,675 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "9ca1face-2bf3-41e0-b66e-5a4e2e1571fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "numbers = [1,2,3,4,5,6,7,8,9,0,10,11,12,13,14,15]\n",
+    "even = list(map(lambda x:x%2==0, numbers))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "39b2e4f0-9156-47ea-b861-2f6f8e44531a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[False,\n",
+       " True,\n",
+       " False,\n",
+       " True,\n",
+       " False,\n",
+       " True,\n",
+       " False,\n",
+       " True,\n",
+       " False,\n",
+       " True,\n",
+       " True,\n",
+       " False,\n",
+       " True,\n",
+       " False,\n",
+       " True,\n",
+       " False]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "even"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e619a088-f1eb-480a-b4c1-af9c72b48fc8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6705f0ae-aaa0-4923-9892-0fc85b2e8389",
+   "metadata": {},
+   "source": [
+    "## Return cube of list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e40e166e-2220-4ab2-ba0a-767fea1933a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "values = [1,3,5,7,8]\n",
+    "cube = list(map(lambda x:x*x*x, values))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "508da617-f076-4ec1-ace6-7e0b77c1cfae",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[1, 27, 125, 343, 512]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cube"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c79bf11e-2c0b-428a-8531-ba237dad6a78",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "166b87ce-4014-4eca-ba3f-ede6fd5914e9",
+   "metadata": {},
+   "source": [
+    "## Return square of list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "4ed54d5d-b063-4d59-a639-e6b23f091fd9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "square = list(map(lambda x:x**2, values))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "33a4c47c-dc8d-4099-a4b8-5526c861a091",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[1, 9, 25, 49, 64]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "square"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a16186d-20b7-4f81-93ba-cda757f3ce78",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "4c721aa1-1a36-44eb-9176-51b948e8b984",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "even = list(filter(lambda x:x%2==0, numbers))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "3fd0a9c3-dfd7-4f69-b22c-ddbd23b29348",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[2, 4, 6, 8, 0, 10, 12, 14]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "even"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "db1c375c-d820-4f9b-8009-20469909331f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "122f169c-bb45-4839-a976-24e49ac85edc",
+   "metadata": {},
+   "source": [
+    "## Reduce functions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "1b2fa2f2-5142-4072-91c5-d2c62aee201b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from functools import reduce"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "0b3c4b88-4ecd-4046-959e-22145232f87c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# sum\n",
+    "l = [1,2,3,4,5,6,7]\n",
+    "result = reduce(lambda x, y: x + y, l)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "591a6602-0224-4a05-91b7-f3e72c8bb071",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "28"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "3e9437fb-a917-4d5f-b28c-ae2b17d625a8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "9\n"
+     ]
+    }
+   ],
+   "source": [
+    "# finding max value\n",
+    "numbers = [4, 1, 7, 3, 9, 2]\n",
+    "max_value = reduce(lambda x, y: x if x > y else y, numbers)\n",
+    "print(max_value)  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "c3702fab-e141-465b-aef6-2ad0af12f01e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "120\n"
+     ]
+    }
+   ],
+   "source": [
+    "# finding product\n",
+    "numbers = [1, 2, 3, 4, 5]\n",
+    "product = reduce(lambda x, y: x * y, numbers)\n",
+    "print(product) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "af48627b-d7d2-405e-b2b7-1d7450c90c6f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hello world from reduce\n"
+     ]
+    }
+   ],
+   "source": [
+    "# concatening the string\n",
+    "words = ['Hello', 'world', 'from', 'reduce']\n",
+    "sentence = reduce(lambda x, y: x + ' ' + y, words)\n",
+    "print(sentence) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "ee16bf7c-5eb9-4ac1-a6ca-61160d87b3d5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "120\n"
+     ]
+    }
+   ],
+   "source": [
+    "# factorial of each element\n",
+    "n = 5\n",
+    "factorial = reduce(lambda x, y: x * y, range(1, n + 1))\n",
+    "print(factorial) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8642ebf5-cc3a-4e2f-999e-e81339f3b6e4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13f82d80-062e-460c-8754-2e90459fd408",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "373cc5ff-0a7c-4231-9d23-788b7399d376",
+   "metadata": {},
+   "source": [
+    "## Map"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "ae407313-344b-4b5e-ad10-55e87cd2ea81",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['HELLO', 'WORLD', 'PYTHON']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# convert words into upper case\n",
+    "words = ['hello', 'world', 'python']\n",
+    "uppercase_words = list(map(lambda x: x.upper(), words))\n",
+    "print(uppercase_words) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "a318e976-98b7-4136-a9c9-26df1fbac6f1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[5, 6, 6]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# length of each element\n",
+    "words = ['apple', 'banana', 'cherry']\n",
+    "lengths = list(map(len, words))\n",
+    "print(lengths)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "a5b0d6a3-6e89-434d-8e3f-d7b6555e7b7c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1, 4, 9, 16, 25]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Applying function other than lambda\n",
+    "def square(x):\n",
+    "    return x ** 2\n",
+    "\n",
+    "numbers = [1, 2, 3, 4, 5]\n",
+    "squared = list(map(square, numbers))\n",
+    "print(squared) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "633795ba-7660-4679-af18-8e5ded77ec89",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1, 2, 3]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Extracting specific data from tuple\n",
+    "tuples = [(1, 'a'), (2, 'b'), (3, 'c')]\n",
+    "first_elements = list(map(lambda x: x[0], tuples))\n",
+    "print(first_elements)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "aaa122d3-acc6-4ee7-b1b6-fdfd76d37d6e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.0, 7.222222222222222, 17.77777777777778, 25.0, 31.666666666666668]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Convert farenhite into celcius\n",
+    "fahrenheit = [32, 45, 64, 77, 89]\n",
+    "celsius = list(map(lambda f: (f - 32) * 5 / 9, fahrenheit))\n",
+    "print(celsius)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "2157864f-bbef-4804-a7f9-a26ffa746ca5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[6, 8, 10, 12]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Adding two list element wise\n",
+    "list1 = [1, 2, 3, 4]\n",
+    "list2 = [5, 6, 7, 8]\n",
+    "sum_lists = list(map(lambda x, y: x + y, list1, list2))\n",
+    "print(sum_lists)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fd773df2-929a-432b-b3d4-5b7a47c5a0f2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe1a0319-a240-45a2-ab9d-ad5f4fe5a20f",
+   "metadata": {},
+   "source": [
+    "## Filter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "8530ceac-cb59-4b52-afa9-a6108ec64949",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2, 4, 6, 8, 10]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Filter even number\n",
+    "numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
+    "even_numbers = list(filter(lambda x: x % 2 == 0, numbers))\n",
+    "print(even_numbers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "dc02d009-411e-4a63-8c59-43e680c3ea97",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['elephant']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# filter string of more than 3 char\n",
+    "words = ['cat', 'dog', 'elephant', 'ant']\n",
+    "long_words = list(filter(lambda x: len(x) > 3, words))\n",
+    "print(long_words) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "b1c707bc-2756-4a2e-ac97-577affdeead2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[3, 9, 4]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# FIlter positive number\n",
+    "numbers = [-5, 3, 0, 9, -2, 4]\n",
+    "positive_numbers = list(filter(lambda x: x > 0, numbers))\n",
+    "print(positive_numbers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "6eb792c4-8253-428a-a5c8-0c0cae073f7f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['hello', 'world', 'python']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# filter non empty string\n",
+    "strings = ['hello', '', 'world', ' ', 'python', '']\n",
+    "non_empty_strings = list(filter(lambda x: x.strip() != '', strings))\n",
+    "print(non_empty_strings)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "ac17fc94-0f0d-47a1-accd-302042b40570",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[15, 20]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Filter number greater than a threshold\n",
+    "numbers = [1, 5, 8, 10, 15, 20]\n",
+    "threshold = 10\n",
+    "filtered_numbers = list(filter(lambda x: x > threshold, numbers))\n",
+    "print(filtered_numbers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "5d01dee9-6d43-41b0-a49b-b34ca12fdfd9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['apple', 'avocado']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# filter number which is start with specific number\n",
+    "strings = ['apple', 'banana', 'avocado', 'grape']\n",
+    "starts_with_a = list(filter(lambda x: x.startswith('a'), strings))\n",
+    "print(starts_with_a) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "67a6c123-8d27-4c32-ad4a-0a427f9797d0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['banana', 'cherry', 'date']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Filtering even length string\n",
+    "strings = ['apple', 'banana', 'cherry', 'date']\n",
+    "even_length_strings = list(filter(lambda s: len(s) % 2 == 0, strings))\n",
+    "print(even_length_strings) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fccc54ed-9a6f-42fc-8c9a-4571d4bcb988",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/jupyter/getter and setter in python.ipynb b/jupyter/getter and setter in python.ipynb
new file mode 100644
index 00000000..6a7fe3d7
--- /dev/null
+++ b/jupyter/getter and setter in python.ipynb	
@@ -0,0 +1,734 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "5cc99381-bd6c-45d1-afbf-0fe08e83a1df",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Solutions():\n",
+    "    def __init__(self, value):\n",
+    "        self._value = value\n",
+    "\n",
+    "    @property\n",
+    "    def ten_time(self):\n",
+    "        return 10*self._value\n",
+    "\n",
+    "    @ten_time.setter\n",
+    "    def ten_time(self, value):\n",
+    "        self._value = value\n",
+    "\n",
+    "    def show_value(self):\n",
+    "        print(f'Value is {self._value}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "087120d4-2e57-4b2c-8c05-0ad5680d95c1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Value is 10\n"
+     ]
+    }
+   ],
+   "source": [
+    "s = Solutions(10)\n",
+    "s.show_value()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1606cee4-3bf6-4323-a7b7-dcb211751747",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "100"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s.ten_time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b86d3d39-1382-4e42-955f-f8a4b4c88be0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s.ten_time = 34"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "39437719-2388-4da2-94ae-69da04e57aa2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Value is 34\n"
+     ]
+    }
+   ],
+   "source": [
+    "s.show_value()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "86336263-69c9-4f6a-b461-1c35e81dd7c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "340"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s.ten_time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "ccc2498d-74ae-48bb-b37b-d98cc286956a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s.ten_time = 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "cbf658d8-bc9b-47f5-82ae-7be6927043ff",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Value is 10\n"
+     ]
+    }
+   ],
+   "source": [
+    "s.show_value()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f01b1591-8c1f-4994-ba3d-36bf48477104",
+   "metadata": {},
+   "source": [
+    "# Getter and Setters are Used For Encapsulation purpose"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "4705e5e5-e868-4953-820e-c0050c1918a8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Person:\n",
+    "    def __init__(self, name, age):\n",
+    "        self._name = name\n",
+    "        self._age = age\n",
+    "\n",
+    "    # Getter for name\n",
+    "    @property\n",
+    "    def name(self):\n",
+    "        return self._name\n",
+    "\n",
+    "    # Setter for name\n",
+    "    @name.setter\n",
+    "    def name(self, value):\n",
+    "        if isinstance(value, str):\n",
+    "            self._name = value\n",
+    "        else:\n",
+    "            raise ValueError(\"Name must be a string\")\n",
+    "\n",
+    "    # Getter for age\n",
+    "    @property\n",
+    "    def age(self):\n",
+    "        return self._age\n",
+    "\n",
+    "    # Setter for age\n",
+    "    @age.setter\n",
+    "    def age(self, value):\n",
+    "        if isinstance(value, int) and value > 0:\n",
+    "            self._age = value\n",
+    "        else:\n",
+    "            raise ValueError(\"Age must be a positive integer\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "b5ffd68a-12fc-45c7-92b0-4b20c549a27d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p = Person(\"Mansoor\", 21)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "7884cb60-61e6-4447-8d1c-7156bb9c83b1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Mansoor'"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "p.name"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "c0d39e47-9fd4-497e-b1a8-3ddb6b5d0dea",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "21"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "p.age"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "0c939a70-d277-42b1-b52e-6f54bf947bab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "p.name = \"Kashan\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "b4900a48-3ad6-4aee-8d4d-fadf394e8303",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Kashan'"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "p.name"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a4951ef2-d443-41b9-8bc3-94191d509eac",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e01ba6a8-4683-468d-9a80-01767a598752",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "117f55dc-7923-4c24-9ca7-b68f6f7a3974",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Rectangle:\n",
+    "    def __init__(self, width, height):\n",
+    "        self._width = width\n",
+    "        self._height = height\n",
+    "\n",
+    "    # Getter for width\n",
+    "    @property\n",
+    "    def width(self):\n",
+    "        return self._width\n",
+    "\n",
+    "    # Setter for width\n",
+    "    @width.setter\n",
+    "    def width(self, value):\n",
+    "        if value > 0:\n",
+    "            self._width = value\n",
+    "        else:\n",
+    "            raise ValueError(\"Width must be positive\")\n",
+    "\n",
+    "    # Getter for height\n",
+    "    @property\n",
+    "    def height(self):\n",
+    "        return self._height\n",
+    "\n",
+    "    # Setter for height\n",
+    "    @height.setter\n",
+    "    def height(self, value):\n",
+    "        if value > 0:\n",
+    "            self._height = value\n",
+    "        else:\n",
+    "            raise ValueError(\"Height must be positive\")\n",
+    "\n",
+    "    # Property to calculate area\n",
+    "    @property\n",
+    "    def area(self):\n",
+    "        return self._width * self._height\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "f2601d21-8813-4d93-a5b7-40c8aed99cd9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "5\n",
+      "10\n",
+      "50\n"
+     ]
+    }
+   ],
+   "source": [
+    "r = Rectangle(5, 10)\n",
+    "print(r.width)   # Output: 5\n",
+    "print(r.height)  # Output: 10\n",
+    "print(r.area)    # Output: 50"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "98e26e5d-dff1-4694-ba21-82cdae5e6421",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "70\n"
+     ]
+    }
+   ],
+   "source": [
+    "r.width = 7      # Using setter to change the width\n",
+    "print(r.area)    # Output: 70\n",
+    "\n",
+    "# r.height = -3  # This will raise ValueError"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ab1ddce7-b6d4-4e35-9f15-45eb191e2a02",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "77457fe5-98e1-4cf4-81bf-d29353eb3a53",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class BankAccount:\n",
+    "    def __init__(self, account_holder, balance=0):\n",
+    "        self.account_holder = account_holder\n",
+    "        self._balance = balance\n",
+    "\n",
+    "    # Getter for balance\n",
+    "    @property\n",
+    "    def balance(self):\n",
+    "        return self._balance\n",
+    "\n",
+    "    # Setter for balance with validation\n",
+    "    @balance.setter\n",
+    "    def balance(self, amount):\n",
+    "        if amount >= 0:\n",
+    "            self._balance = amount\n",
+    "        else:\n",
+    "            raise ValueError(\"Balance cannot be negative\")\n",
+    "\n",
+    "    # Method to deposit money\n",
+    "    def deposit(self, amount):\n",
+    "        if amount > 0:\n",
+    "            self._balance += amount\n",
+    "        else:\n",
+    "            raise ValueError(\"Deposit amount must be positive\")\n",
+    "\n",
+    "    # Method to withdraw money\n",
+    "    def withdraw(self, amount):\n",
+    "        if 0 < amount <= self._balance:\n",
+    "            self._balance -= amount\n",
+    "        else:\n",
+    "            raise ValueError(\"Invalid withdrawal amount\")\n",
+    "\n",
+    "    # Property to calculate annual interest\n",
+    "    @property\n",
+    "    def annual_interest(self):\n",
+    "        interest_rate = 0.03  # 3% annual interest rate\n",
+    "        return self._balance * interest_rate\n",
+    "\n",
+    "    def __str__(self):\n",
+    "        return f\"Account Holder: {self.account_holder}, Balance: ${self._balance:.2f}, Annual Interest: ${self.annual_interest:.2f}\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "77b9d941-ce43-4056-accb-2705c7734197",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Account Holder: John Doe, Balance: $1000.00, Annual Interest: $30.00\n"
+     ]
+    }
+   ],
+   "source": [
+    "account = BankAccount(\"John Doe\", 1000)\n",
+    "print(account)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "093f5cd4-4c8b-40e0-9fa6-4f530d693753",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Account Holder: John Doe, Balance: $1500.00, Annual Interest: $45.00\n"
+     ]
+    }
+   ],
+   "source": [
+    "account.deposit(500)\n",
+    "print(account)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "e920fe58-2f37-4ff4-9539-3c5c87d5bbc9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Account Holder: John Doe, Balance: $1300.00, Annual Interest: $39.00\n"
+     ]
+    }
+   ],
+   "source": [
+    "account.withdraw(200)\n",
+    "print(account)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "29b6237c-ccdd-49d2-bae2-c2e0c5f57798",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Annual Interest: $39.00\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Annual Interest: ${account.annual_interest:.2f}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6fa9bc26-0de5-4849-92ee-4bb146701a24",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "5a4f0530-dd5e-44ac-9e62-a69ea7f3ee11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Employee:\n",
+    "    def __init__(self, name, base_salary, bonus_percentage):\n",
+    "        self.name = name\n",
+    "        self.base_salary = base_salary\n",
+    "        self.bonus_percentage = bonus_percentage\n",
+    "\n",
+    "    # Getter and Setter for base_salary with validation\n",
+    "    @property\n",
+    "    def base_salary(self):\n",
+    "        return self._base\n",
+    "        _salary\n",
+    "\n",
+    "    @base_salary.setter\n",
+    "    def base_salary(self, amount):\n",
+    "        if amount >= 0:\n",
+    "            self._base_salary = amount\n",
+    "        else:\n",
+    "            raise ValueError(\"Base salary cannot be negative\")\n",
+    "\n",
+    "    # Getter and Setter for bonus_percentage with validation\n",
+    "    @property\n",
+    "    def bonus_percentage(self):\n",
+    "        return self._bonus_percentage\n",
+    "\n",
+    "    @bonus_percentage.setter\n",
+    "    def bonus_percentage(self, value):\n",
+    "        if 0 <= value <= 100:\n",
+    "            self._bonus_percentage = value\n",
+    "        else:\n",
+    "            raise ValueError(\"Bonus percentage must be between 0 and 100\")\n",
+    "\n",
+    "    # Property to calculate total salary with bonus\n",
+    "    @property\n",
+    "    def total_salary(self):\n",
+    "        return self.base_salary * (1 + self.bonus_percentage / 100)\n",
+    "\n",
+    "    def __str__(self):\n",
+    "        return f\"Employee: {self.name}, Base Salary: ${self.base_salary:.2f}, Bonus Percentage: {self.bonus_percentage}%, Total Salary: ${self.total_salary:.2f}\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "cf2b522f-9283-4ec5-b773-bad90f8e200e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Employee: Jane Smith, Base Salary: $50000.00, Bonus Percentage: 10%, Total Salary: $55000.00\n"
+     ]
+    }
+   ],
+   "source": [
+    "emp = Employee(\"Jane Smith\", 50000, 10)\n",
+    "print(emp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "300b2589-b2b4-44f2-b5a6-9c545e8ec113",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "emp.base_salary = 55000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "f31acf14-ad7e-484b-b4b5-11997498627b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Employee: Jane Smith, Base Salary: $55000.00, Bonus Percentage: 15%, Total Salary: $63250.00\n"
+     ]
+    }
+   ],
+   "source": [
+    "emp.bonus_percentage = 15\n",
+    "print(emp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2d1e8c67-5ce6-4181-ad7f-621ec23e42a6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aeeac74e-b3ed-4061-84a8-484738a01135",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "d68216e3-f184-4237-b47c-6b92c6a18723",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class Temperature:\n",
+    "    def __init__(self, celsius):\n",
+    "        self.celsius = celsius\n",
+    "\n",
+    "    # Getter and Setter for Celsius with validation\n",
+    "    @property\n",
+    "    def celsius(self):\n",
+    "        return self._celsius\n",
+    "\n",
+    "    @celsius.setter\n",
+    "    def celsius(self, value):\n",
+    "        if value >= -273.15:\n",
+    "            self._celsius = value\n",
+    "        else:\n",
+    "            raise ValueError(\"Temperature cannot be below absolute zero\")\n",
+    "\n",
+    "    # Property to get temperature in Fahrenheit\n",
+    "    @property\n",
+    "    def fahrenheit(self):\n",
+    "        return self._celsius * 9/5 + 32\n",
+    "\n",
+    "    # Property to set temperature from Fahrenheit\n",
+    "    @fahrenheit.setter\n",
+    "    def fahrenheit(self, value):\n",
+    "        self.celsius = (value - 32) * 5/9\n",
+    "\n",
+    "    def __str__(self):\n",
+    "        return f\"Temperature: {self.celsius:.2f}°C / {self.fahrenheit:.2f}°F\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "1540362c-070a-46ff-8ccd-6ec9e5612cd5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Temperature: 25.00°C / 77.00°F\n"
+     ]
+    }
+   ],
+   "source": [
+    "temp = Temperature(25)\n",
+    "print(temp)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "2fce7f3b-14ba-4fb7-ae8d-555a6a135130",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Temperature: 25.00°C / 77.00°F\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "temp.fahrenheit = 77\n",
+    "print(temp)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "afac59bf-ab2d-4111-a9a9-0861c86d8306",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
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