diff --git a/2-Working-With-Data/08-python/README.md b/2-Working-With-Data/08-python/README.md
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-# Working with Data: Python and the Pandas Library
-
-While databases offer very efficient ways to store data and query them using query languages, the most flexible way of data processing is writing your own program to manipulate data. While in many cases doing database query will be more effective way, in some cases you might need some more complex data processing, which cannot be easily done using SQL.
-
-Data processing can be programmed in any programming language, but there are certain languages that are higher level with respect to working with data. Data scientists typically prefer one of the following languages:
-
-* **[Python](https://www.python.org/)**, a general-purpose programming language, which is often considered one of the best options for beginners due to its simplicity. Python has a lot of additional libraries that can help you solve many practical problems, such as extracting your data from ZIP archive, or converting picture to grayscale. In addition to data science, Python is also often used for web development. 
-* **[R](https://www.r-project.org/)** is a traditional toolbox developed with statistical data processing in mind. It also contains large repository of libraries (CRAN), making it a good choice for data processing. However, R is not a general-purpose programming language, and is rarely used outside of data science domain.
-* **[Julia](https://julialang.org/)** is another language developed specifically for data science. It is intended to give better performance than Python, making it a great tool for scientific experimentation.
-
-In this lesson, we will focus on using Python for simple data processing. We will assume basic familiarity with the language. If you want deeper tour of Python, you can refer to one of the following resources:
-
-* [Learn Python in a Fun Way with Turtle Graphics and Fractals](https://github.com/shwars/pycourse) - GitHub-based quick intro course into Python Programming
-* [Take your First Steps with Python](https://docs.microsoft.com/en-us/learn/paths/python-first-steps/?WT.mc_id=acad-31812-dmitryso) Learning Path on [Microsoft Learn](http://learn.microsoft.com/?WT.mc_id=acad-31812-dmitryso)
-
-Data can come in many forms. In this lesson, we will consider three forms of data - **tabular data**, **text** and **images**.
-
-We will focus on a few examples of data processing, instead of giving you full overview of all related libraries. This would allow you to get the main idea of what's possible, and leave you with understanding on where to find solutions to your problems when you need them.
-
-> **Most useful advice**. When you need to perform certain operation on data that you do not know how to do, try searching for it in the internet. [Stackoverflow](https://stackoverflow.com/) usually contains a lot of useful code sample in Python for many typical tasks. 
-
-## Pre-Lecture Quiz
-
-[Pre-lecture quiz]()
-
-## Tabular Data and Dataframes
-
-You have already met tabular data when we talked about relational databases. When you have a lot of data, and it is contained in many different linked tables, it definitely makes sense to use SQL for working with it. However, there are many cases when we have a table of data, and we need to gain some **understanding** or **insights** about this data, such as the distribution, correlation between values, etc. In data science, there are a lot of cases when we need to perform some transformations of the original data, followed by visualization. Both those steps can be easily done using Python.
-
-There are two most useful libraries in Python that can help you deal with tabular data:
-* **[Pandas](https://pandas.pydata.org/)** allows you to manipulate so-called **Dataframes**, which are analogous to relational tables. You can have named columns, and perform different operations on row, columns and dataframes in general. 
-* **[Numpy](https://numpy.org/)** is a library for working with **tensors**, i.e. multi-dimensional **arrays**. Array has values of the same underlying type, and it is simpler than dataframe, but it offers more mathematical operations, and creates less overhead.
-
-There are also a couple of other libraries you should know about:
-* **[Matplotlib](https://matplotlib.org/)** is a library used for data visualization and plotting graphs
-* **[SciPy](https://www.scipy.org/)** is a library with some additional scientific functions. We have already come accross this library when talking about probability and statistics
-
-Here is a piece of code that you would typically use to import those libraries in the beginning of your Python program:
-```python
-import numpy as np
-import pandas as pd
-import matplotlib.pyplot as plt
-from scipy import ... # you need to specify exact sub-packages that you need
-``` 
-
-Pandas is centered around the following basic concepts:
-
-**Series** is a sequence of values, similar to a list or numpy array. The main difference is that series also has and **index**, and when we operate on series (eg., add them), the index is taken into account. Index can be as simple as integer row number (it is the index used by default when creating a series from list or array), or it can have a complex structure, such as date interval.
-
-> **Note**: There is some introductory Pandas code in the accompanying notebook [`notebook.ipynb`](notebook.ipynb). We only outline some the examples here, and you are definitely welcome to check out the full notebook.
-
-Consider an example: we want to analyze sales of our ice-cream spot. Let's generate a series of sales numbers (number of items sold each day) for some time period:
-
-```python
-tart_date = "Jan 1, 2020"
-end_date = "Mar 31, 2020"
-idx = pd.date_range(start_date,end_date)
-print(f"Length of index is {len(idx)}")
-items_sold = pd.Series(np.random.randint(25,50,size=len(idx)),index=idx)
-items_sold.plot()
-```
-![Time Series Plot](images/timeseries-1.png)
-
-Now suppose that each week we are organizing a party for friends, and we take additional 10 packs of ice-cream for a party. We can create another series, indexed by week, to demonstrate that:
-```python
-additional_items = pd.Series(10,index=pd.date_range(start_date,end_date,freq="W"))
-```
-When we add two series together, we get total number:
-```python
-total_items = items_sold.add(additional_items,fill_value=0)
-total_items.plot()
-```
-![Time Series Plot](images/timeseries-2.png)
-## 🚀 Challenge
-
-First problem we will focus on is modelling of epidemic spread of COVID-19. In order to do that, we will use the data on the number of infected individuals in different countries, provided by the [Center for Systems Science and Engineering](https://systems.jhu.edu/) (CSSE) at [Johns Hopkins University](https://jhu.edu/). Dataset is available in [this GitHub Repository](https://github.com/CSSEGISandData/COVID-19).
-
-Since we want to demonstrate how to deal with data, we invite you to open [`notebook-pandas.ipynb`](notebook-pandas.ipynb) and read it from top to bottom. You can also execute cells, and do some challenges that we have leaf for you along the way.
-
-
-
-## Post-Lecture Quiz
-
-[Post-lecture quiz]()
-
-## Review & Self Study
-
-* [Wes McKinney. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython](https://www.amazon.com/gp/product/1491957662)
-
-## Assignment
-
-[Assignment Title](assignment.md)
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diff --git a/2-Working-With-Data/08-python/notebook-covidspread.ipynb b/2-Working-With-Data/08-python/notebook-covidspread.ipynb
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-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "source": [
-    "# Using Python for Data Processing\r\n",
-    "\r\n",
-    "## Tabular Data\r\n",
-    "\r\n",
-    "We will use data on COVID-19 infected individuals, provided by the [Center for Systems Science and Engineering](https://systems.jhu.edu/) (CSSE) at [Johns Hopkins University](https://jhu.edu/). Dataset is available in [this GitHub Repository](https://github.com/CSSEGISandData/COVID-19)."
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "source": [
-    "import numpy as np\r\n",
-    "import pandas as pd"
-   ],
-   "outputs": [],
-   "metadata": {}
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "We can load the most recent data directly from GitHub using `pd.read_csv`. If for some reason the data is not available, you can always use the copy available locally in the `data` folder - just uncomment lines below:"
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "source": [
-    "base_url = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/\" # loading from Internet\r\n",
-    "# base_url = \"../../data/COVID/\" # loading from disk\r\n",
-    "infected_dataset_url = base_url + \"time_series_covid19_confirmed_global.csv\"\r\n",
-    "recovered_dataset_url = base_url + \"time_series_covid19_recovered_global.csv\"\r\n",
-    "deaths_dataset_url = base_url + \"time_series_covid19_deaths_global.csv\"\r\n",
-    "countries_dataset_url = base_url + \"../UID_ISO_FIPS_LookUp_Table.csv\""
-   ],
-   "outputs": [],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "source": [
-    "infected = pd.read_csv(infected_dataset_url)\r\n",
-    "infected.head()"
-   ],
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "  Province/State Country/Region       Lat       Long  1/22/20  1/23/20  \\\n",
-       "0            NaN    Afghanistan  33.93911  67.709953        0        0   \n",
-       "1            NaN        Albania  41.15330  20.168300        0        0   \n",
-       "2            NaN        Algeria  28.03390   1.659600        0        0   \n",
-       "3            NaN        Andorra  42.50630   1.521800        0        0   \n",
-       "4            NaN         Angola -11.20270  17.873900        0        0   \n",
-       "\n",
-       "   1/24/20  1/25/20  1/26/20  1/27/20  ...  8/14/21  8/15/21  8/16/21  \\\n",
-       "0        0        0        0        0  ...   151770   151770   152142   \n",
-       "1        0        0        0        0  ...   135550   135947   136147   \n",
-       "2        0        0        0        0  ...   186655   187258   187968   \n",
-       "3        0        0        0        0  ...    14924    14924    14954   \n",
-       "4        0        0        0        0  ...    44534    44617    44739   \n",
-       "\n",
-       "   8/17/21  8/18/21  8/19/21  8/20/21  8/21/21  8/22/21  8/23/21  \n",
-       "0   152243   152363   152411   152448   152448   152448   152583  \n",
-       "1   136598   137075   137597   138132   138790   139324   139721  \n",
-       "2   188663   189384   190078   190656   191171   191583   192089  \n",
-       "3    14960    14976    14981    14988    14988    14988    15002  \n",
-       "4    44972    45175    45325    45583    45817    45945    46076  \n",
-       "\n",
-       "[5 rows x 584 columns]"
-      ],
-      "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>Province/State</th>\n",
-       "      <th>Country/Region</th>\n",
-       "      <th>Lat</th>\n",
-       "      <th>Long</th>\n",
-       "      <th>1/22/20</th>\n",
-       "      <th>1/23/20</th>\n",
-       "      <th>1/24/20</th>\n",
-       "      <th>1/25/20</th>\n",
-       "      <th>1/26/20</th>\n",
-       "      <th>1/27/20</th>\n",
-       "      <th>...</th>\n",
-       "      <th>8/14/21</th>\n",
-       "      <th>8/15/21</th>\n",
-       "      <th>8/16/21</th>\n",
-       "      <th>8/17/21</th>\n",
-       "      <th>8/18/21</th>\n",
-       "      <th>8/19/21</th>\n",
-       "      <th>8/20/21</th>\n",
-       "      <th>8/21/21</th>\n",
-       "      <th>8/22/21</th>\n",
-       "      <th>8/23/21</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Afghanistan</td>\n",
-       "      <td>33.93911</td>\n",
-       "      <td>67.709953</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>151770</td>\n",
-       "      <td>151770</td>\n",
-       "      <td>152142</td>\n",
-       "      <td>152243</td>\n",
-       "      <td>152363</td>\n",
-       "      <td>152411</td>\n",
-       "      <td>152448</td>\n",
-       "      <td>152448</td>\n",
-       "      <td>152448</td>\n",
-       "      <td>152583</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Albania</td>\n",
-       "      <td>41.15330</td>\n",
-       "      <td>20.168300</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>135550</td>\n",
-       "      <td>135947</td>\n",
-       "      <td>136147</td>\n",
-       "      <td>136598</td>\n",
-       "      <td>137075</td>\n",
-       "      <td>137597</td>\n",
-       "      <td>138132</td>\n",
-       "      <td>138790</td>\n",
-       "      <td>139324</td>\n",
-       "      <td>139721</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Algeria</td>\n",
-       "      <td>28.03390</td>\n",
-       "      <td>1.659600</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>186655</td>\n",
-       "      <td>187258</td>\n",
-       "      <td>187968</td>\n",
-       "      <td>188663</td>\n",
-       "      <td>189384</td>\n",
-       "      <td>190078</td>\n",
-       "      <td>190656</td>\n",
-       "      <td>191171</td>\n",
-       "      <td>191583</td>\n",
-       "      <td>192089</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Andorra</td>\n",
-       "      <td>42.50630</td>\n",
-       "      <td>1.521800</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>14924</td>\n",
-       "      <td>14924</td>\n",
-       "      <td>14954</td>\n",
-       "      <td>14960</td>\n",
-       "      <td>14976</td>\n",
-       "      <td>14981</td>\n",
-       "      <td>14988</td>\n",
-       "      <td>14988</td>\n",
-       "      <td>14988</td>\n",
-       "      <td>15002</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Angola</td>\n",
-       "      <td>-11.20270</td>\n",
-       "      <td>17.873900</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>44534</td>\n",
-       "      <td>44617</td>\n",
-       "      <td>44739</td>\n",
-       "      <td>44972</td>\n",
-       "      <td>45175</td>\n",
-       "      <td>45325</td>\n",
-       "      <td>45583</td>\n",
-       "      <td>45817</td>\n",
-       "      <td>45945</td>\n",
-       "      <td>46076</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 584 columns</p>\n",
-       "</div>"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "source": [],
-   "outputs": [],
-   "metadata": {}
-  }
- ],
- "metadata": {
-  "orig_nbformat": 4,
-  "language_info": {
-   "name": "python",
-   "version": "3.8.8",
-   "mimetype": "text/x-python",
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "pygments_lexer": "ipython3",
-   "nbconvert_exporter": "python",
-   "file_extension": ".py"
-  },
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.8.8 64-bit (conda)"
-  },
-  "interpreter": {
-   "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
\ No newline at end of file
diff --git a/2-Working-With-Data/08-python/notebook.ipynb b/2-Working-With-Data/08-python/notebook.ipynb
deleted file mode 100644
index 47b56b2..0000000
--- a/2-Working-With-Data/08-python/notebook.ipynb
+++ /dev/null
@@ -1,307 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "source": [
-    "## Basic Pandas Examples\r\n",
-    "\r\n",
-    "This notebook will walk you through some very basic Pandas concepts. We will start with importing typical data science libraries:"
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "source": [
-    "import pandas as pd\r\n",
-    "import numpy as np\r\n",
-    "import matplotlib.pyplot as plt"
-   ],
-   "outputs": [],
-   "metadata": {}
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "### Series\r\n",
-    "\r\n",
-    "Series is like a list or 1D-array, but with index. All operations are index-aligned."
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "source": [
-    "a = pd.Series(range(1,10))\r\n",
-    "b = pd.Series([\"I\",\"like\",\"to\",\"play\",\"games\",\"and\",\"will\",\"not\",\"change\"],index=range(0,9))\r\n",
-    "print(a,b)"
-   ],
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "0    1\n",
-      "1    2\n",
-      "2    3\n",
-      "3    4\n",
-      "4    5\n",
-      "5    6\n",
-      "6    7\n",
-      "7    8\n",
-      "8    9\n",
-      "dtype: int64 0         I\n",
-      "1      like\n",
-      "2        to\n",
-      "3      play\n",
-      "4     games\n",
-      "5       and\n",
-      "6      will\n",
-      "7       not\n",
-      "8    change\n",
-      "dtype: object\n"
-     ]
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "One of the frequent usage of series is **time series**. In time series, index has a special structure - typically a range of dates or datetimes. We can create such an index with `pd.date_range`.\r\n",
-    "\r\n",
-    "Suppose we have a series that shows the amount of product bought every day, and we know that every sunday we also need to take one item for ourselves. Here is how to model that using series:"
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "source": [
-    "start_date = \"Jan 1, 2020\"\r\n",
-    "end_date = \"Dec 31, 2020\"\r\n",
-    "idx = pd.date_range(start_date,end_date)\r\n",
-    "print(f\"Length of index is {len(idx)}\")\r\n",
-    "items_sold = pd.Series(np.random.randint(25,50,size=len(idx)),index=idx)\r\n",
-    "items_sold.plot(figsize=(10,3))\r\n",
-    "plt.show()"
-   ],
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Length of index is 366\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": [
-       "<Figure size 1000x300 with 1 Axes>"
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"
-     },
-     "metadata": {}
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "source": [
-    "additional_items = pd.Series(10,index=pd.date_range(start_date,end_date,freq=\"W\"))\r\n",
-    "print(f\"Additional items (10 item each week):\\n{additional_items}\")\r\n",
-    "total_items = items_sold+additional_items\r\n",
-    "print(f\"Total items (sum of two series):\\n{total_items}\")"
-   ],
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Additional items (10 item each week):\n",
-      "2020-01-05    10\n",
-      "2020-01-12    10\n",
-      "2020-01-19    10\n",
-      "2020-01-26    10\n",
-      "2020-02-02    10\n",
-      "2020-02-09    10\n",
-      "2020-02-16    10\n",
-      "2020-02-23    10\n",
-      "2020-03-01    10\n",
-      "2020-03-08    10\n",
-      "2020-03-15    10\n",
-      "2020-03-22    10\n",
-      "2020-03-29    10\n",
-      "2020-04-05    10\n",
-      "2020-04-12    10\n",
-      "2020-04-19    10\n",
-      "2020-04-26    10\n",
-      "2020-05-03    10\n",
-      "2020-05-10    10\n",
-      "2020-05-17    10\n",
-      "2020-05-24    10\n",
-      "2020-05-31    10\n",
-      "2020-06-07    10\n",
-      "2020-06-14    10\n",
-      "2020-06-21    10\n",
-      "2020-06-28    10\n",
-      "2020-07-05    10\n",
-      "2020-07-12    10\n",
-      "2020-07-19    10\n",
-      "2020-07-26    10\n",
-      "2020-08-02    10\n",
-      "2020-08-09    10\n",
-      "2020-08-16    10\n",
-      "2020-08-23    10\n",
-      "2020-08-30    10\n",
-      "2020-09-06    10\n",
-      "2020-09-13    10\n",
-      "2020-09-20    10\n",
-      "2020-09-27    10\n",
-      "2020-10-04    10\n",
-      "2020-10-11    10\n",
-      "2020-10-18    10\n",
-      "2020-10-25    10\n",
-      "2020-11-01    10\n",
-      "2020-11-08    10\n",
-      "2020-11-15    10\n",
-      "2020-11-22    10\n",
-      "2020-11-29    10\n",
-      "2020-12-06    10\n",
-      "2020-12-13    10\n",
-      "2020-12-20    10\n",
-      "2020-12-27    10\n",
-      "Freq: W-SUN, dtype: int64\n",
-      "Total items (sum of two series):\n",
-      "2020-01-01     NaN\n",
-      "2020-01-02     NaN\n",
-      "2020-01-03     NaN\n",
-      "2020-01-04     NaN\n",
-      "2020-01-05    56.0\n",
-      "              ... \n",
-      "2020-12-27    41.0\n",
-      "2020-12-28     NaN\n",
-      "2020-12-29     NaN\n",
-      "2020-12-30     NaN\n",
-      "2020-12-31     NaN\n",
-      "Length: 366, dtype: float64\n"
-     ]
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "As you can see, we are having problems here, because in the weekly series non-mentioned days are considered to be missing (`NaN`), and adding `NaN` to a number gives us `NaN`. In order to get correct result, we need to specify `fill_value` when adding series:"
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "source": [
-    "total_items = items_sold.add(additional_items,fill_value=0)\r\n",
-    "print(total_items)\r\n",
-    "total_items.plot(figsize=(10,3))\r\n",
-    "plt.show()"
-   ],
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "2020-01-01    41.0\n",
-      "2020-01-02    43.0\n",
-      "2020-01-03    45.0\n",
-      "2020-01-04    31.0\n",
-      "2020-01-05    66.0\n",
-      "              ... \n",
-      "2020-12-27    51.0\n",
-      "2020-12-28    29.0\n",
-      "2020-12-29    49.0\n",
-      "2020-12-30    48.0\n",
-      "2020-12-31    31.0\n",
-      "Length: 366, dtype: float64\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": [
-       "<Figure size 1000x300 with 1 Axes>"
-      ],
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Bnj17YHp6Gl75ylfCgw8+uGEXrE7kajhItbnZRmRgqzIZqyhbPlLEAzwDm2HxHjiTsDiOpfNbkY3wQjM6hwbeKoq1lLeLTaLGpm7C7W5lUPSqWRgVD06qiGzJPjbju96hgtiM7bQbbl6BzZkzZ+BlL3sZtNtt+NznPgcPPfQQvOc974EtW7aIz7z73e+G9773vfC+970P7rzzTti1axe85jWvgeXl5Q254HrRO3+tTKauag33KLxclQxSmblHHU9fJ3QSpiRQasTmnLM4jpWN15u6GtZUNBebBPV7VCcvne1CQmzKsBxoIq4qz0n2sZmQeEBFnpPJWj4f/s3f/E247LLL4CMf+Yj42ZVXXin+Hccx3HLLLfDOd74T3vCGNwAAwEc/+lHYuXMnfOxjH4Of/dmfLX3BKs+yXvSy7IkTK3Dnk6fhXzz/Mmg2gklfTq7RieSbpaiafGsZ2t2kbCP62CTfc+7PW3qvVRlTF5LxV+KDAsZxXMk+Np++7zBcuW0GnnPplrGdcxKITRlZ3wvNRhXsz1LUygTZwwomEocTaJEwOk8Sel6Izac//Wl4wQteAG984xvh4osvhmuvvRY+9KEPid/v27cPjh49Cq997WvFz7rdLrziFa+AO+64w/id/X4flpaWlD9ZVoZXfaHZr//tQ/Df//p++Mb3T036UpysFGJTsXqIKopghCUCG0U8oAJUtCq+nwvJ+Prg49TRQ6uC2Dx1ahV+/s/ugRv+/N6xnldFxcYU2ExIYrqKdiEhNmWQvGEF13NZYzO+gPWCVEV74okn4AMf+ABcffXV8PnPfx7+03/6T/DzP//z8Ed/9EcAAHD06FEAANi5c6dy3M6dO8XvuL3rXe+CzZs3iz+XXXZZ5jXUDoe7nVkbpn8PJnwlbqYUp/ty5ieg+V7G1AxSNTJtSo2NZ1KBigdUgYqmIDYVcX4vJOPvxCfJVcUC2cX1ZC1fTNf0cdkkalpHJWopLjRTHPbz/Fkp6JTnvQ5H1dtvpSraOKlo58e+5xXYRFEE1113Hdx8881w7bXXws/+7M/Cf/gP/wE+8IEPKJ8LApX2FMex9jO0G2+8ERYXF8WfAwcOZF6D0gm5IgN0UobPpyoNqTYCsakKbaiKmbYyiA0VD6gCFa2K7+dCMr7p+ozHKr5bXN/GnbiZRB+bKgqrTMoupGdVxj+omtxzGMkawnFSDNUam7GddsPNK7DZvXs3PPOZz1R+9oxnPAP2798PAAC7du0CANDQmePHj2soDlq324VNmzYpf7KM8m99u9NfaDaaQPFZGSuDxlVN7rlMvcqkTJVa9wxsaLatAlS0C6mjdxVNo6J5jMdhBbOSk5KnnkiNTQUDz0kYVW4EOP/XqTL3OgirNaYmVRNEfeqq+FIm8wpsXvayl8Ejjzyi/OzRRx+FK664AgAA9u7dC7t27YLbbrtN/H4wGMDtt98OL33pSzfgcquJ2Bw4vQa/+Of3wkOHs+uHNtow0q9KUaFSUF9QzjGOq4HalGk2NilTERtPKtpQigdUgYpG77UK4+lCM76k+YzHKjrOeJ3jzsqHE6hpvZCc9TLGx+75Lktfhr6t0tjO/f1nwBCmeExBRllVtI9/ez/8j799aGzXazOvwOYXf/EX4Zvf/CbcfPPN8Pjjj8PHPvYx+OAHPwg/93M/BwAJBe2GG26Am2++GT7xiU/AAw88AG9729tgZmYG3vzmN2/IBU8CGi9rn7jnEHzinkPwsW8/Ndbz4kbk23NkUlaGz00/X4VMQxV55GqNjad4QMU2lioGnheS8Tnu4+iMKrZWAEwQsSGPdVznrht0uhlfl853KlqZhATdc6owprjPNq5rpgmiImvjuz//CHz4a/vgyVNrG3lZ3uYl9/zCF74QPvGJT8CNN94Iv/7rvw579+6FW265Bd7ylreIz7zjHe+A9fV1ePvb3w5nzpyB66+/Hm699VaYn5/fkAueRAaprK32RwCgKkONw6pWUF+mOH3IFr12c8Mu66xYFRuGqQ3SStTYVGDeKohNRZzfC8n4Ru+DAlYRjZtUjY2y347p3IrsfwWSIJMyPgeqss8XtWEZ/6BiiSp+f6MohtYYfBo634o8pvVBwswYt6/LzSuwAQB4/etfD69//eutvw+CAG666Sa46aabylyX1aroEK6lL3vcEwqd/SpQfwAY6uL5rMKK8eZHFeP8AqhOzsBzY6kcYlNnjc9pK6WKpsy9Dbuks2ro7CPVtjGmvmRKe4WxqaLVc8/FNMSmAgmjMlaG0VE1FVK+R46tOS71owqccyCS6ZN9xl5UtHPBFCpaRSbyelpfMO5FWvCyK/KcyjStrFrDyzL1KpOyUg06K1ZjM4mi6drcTc9W+1DRqpUEAZjM+hbHMdDHU9fYnFt2oSE2ZQRdqqaKxvfIcQVjwzLJ5SieGGWWW+UCG/p+qzBAAWRgM3bEpmJyz8qG5lscSCZkFeglZRaQSZnSEdw3sFH6CJz791tFRO1CMp2K5iMeUMG5V+Kajy724FW//WX48Nf2eZ4zzvz/2bIqijsMwwje8L++Djf+zf1jOycP5sfZyLGM/c5tj8Jrf+d20ZvJ1ZS6x/Oeihax/48fsfGtsTmXgsfKBTZRCcnZSRnyDsetWiLEAyrgSAKUy0pWbTNUZMsrMo7pO/FxJOM4rhwVTRlPFcnqX0imU9GKITZVebdqQs9v/nznqdPwxMlV+LvvHvY6ji+jY6PDVBDN3ndyFe7evwCfuvfQ2M6pS55X41l95ruH4dFjK/DAoUWv48ogedUTDyiOSJexMgniwTn0jCsX2FRRTWp9QjU2+KyqwCkF2EDVkwo4K1Xsfl60QecwVCktVaCiVfH9XEhWpo9NWR75JKzMeMT79Z13PHgcFyJQppZiUjYJgSDu/1RlncJn5B2cKHOgTI3Nuf+cdCraeK55QAIqX5ru8BxiZVQusKHvuyoTeU3U2Ixv0YvjWGRwqpAhByhXw1E1xIajU5PWfXexoj2kJrVIl7GqjacLzfim65OtrmJxeqnmxennfRvjTqqGo4o1NjR5Oa5EYpngfpImApsSe3w5VbRz/zlNTDxAkcL3O3Z4DtG3KxfYKFKQFRigAAC9CSA2yiJQkc0hKuFwTMpZieMYTiz3vY+rYuGnSp9zv14qHJAcO955e3y5532MUmBegXdzoRkfQj5jqmo9rwDKBdroQPoiNvzZXAg1NmuDEayk6IvfcXKN6xdAbU6t9EvteQCTdyZdrV8QsSlT9zjJ+o8Ty33vxKUW2IxpzyyDZlO0ctLBY+UCmyr2sZmEKpqCflSkQWcZ1RN1Qm7YJeXaR+94El74G1+Az9znx1/ngUEVNiW1xsb9IfONfpyBzZ/fuR9e9BtfhL+484DXcVXMGl9ItlFyz1UJWkvVF6Sf96VJxezjk8gaj3PuxXEMP/67X4NX/faXvZ/V6kAGQ76BzZMnV+FFN38R/utf3Ot1XBWTYwAUsfEN5Io7zpOqsbnrqdPwopu/ADd/9mGv4yYlHlDmOdU1NiWsKM9/kjaJPjbnkkKFq6mqaCUQmzFmYR89vpL8fWzZ6zhOS6zCWKbX7HO93EkYZ5Hro8eS9/O9o37vp4qSwBeSaTQcD0dHFYbYsEs6q6asb75rY8UQm6gg5bWs9UcR7Du5CseX+3B6deB17LqC2IQZn9TtiZMrEEaxWKtcTc/qV2MwF+11MirhH6jNPcc3ph47tgJx7L//DEaTmXtl9r1zyeesdGAz6ajQ1XopYjPO7CCd+FUo1gbgdDLPRU/JFozvftHJKNN3B6AaY7noxjJJxAaf6yD0czaqKAl8IZlWY+NRP0KpuVVBbBQ1UM/1TcwBTyRBQwQmIDkbxeN7Rz1CmV0b+NHRFCra0HfvSu6vSN8Q9f/n/j5Pe534jqdwg6hok2DO0MDXxTTEZlyqaOS8voENXV8mvWdWL7BROiGf+5tSHMcT6WMzVNTjzv0FD6BcXZAa8G7YJeUavtOiSkVoVZDqpAudT7CsIzZjVA5K50FRZyP5jnP/3VxoVqZBZxWD1nL1BQWpaOeAKhrA+BB4moBZ83RE10pQ0YSjXwLBMP3/XLQydRjDEv7BsGB9aFnDPbPnieJNCo0bVLSOiVvlAhtFPGDMmd9bHzzqXYg8CKOJdGMt08xqUlZm8y4jHjAYRfD3DxyFxTW/hmHJuZIx6DsWK4nYFITzOTVjnBsLXmZRZwOgOln9C8l4NtEn0C7ThG5SVoqmW7BRM382Y1NFmxAFTkVsfAOb4lS0osmxKtbYqIGN7/1ujNzzOJEtnKtlEZvxiQdQxMbvWLoGT3rPrFxgU4ZnWca++tgJ+I9/fBf82mce8jquN5hMFFtFKtpGbN4A/hDqp+87DP/pT+6C3/nCo17HAcjMUVGlIvE9FXhHRd/PJBEb3MR8s9VlmsXWdvaNDyGf8VjFoJU6+96ZVIEIxF73q1OdxhTY8PqpMa0XPYLqlqGi9XzRYew3553Mq16NTZ9Qgv33+OL+waTQBBzLvmOCN8CeRHPcIgli0/dMwioX2EQTcjgOLawDAMCxRT/EZp1kgcaZKVCpaOf+ggdQTvWkjCOKcs34jn0Meb++KEQlEZuCaOkka2zwmn2zqIrzW5Gs/oVkpRp0TkhopIypqmi+6KP8vE+Si59mbM7VhBQjyyE2lIrmidhsUI3NpCV2XayM81tmj58UgwXXl97QE7Fhe+a43u2wRIJY7WNTyz17mVpjM76Ht9JLFq4yC96kEJsqoAEA5SRNN6LPA75jr2MFYlOyMLcCmxK9Zj+558n1sZHiAcXfTxWCzgvNyjXovLBqbIqi9/wZjw2xmRAFrlyNTXHxAFljUy45NuksuYv1le70xddkn3uN43hiUsQSsSkpHjAJ4Y66xmZ8VoauVMawaZfvAFURm/FdLx1kVWnQqdIMi3NovTMN6XmLNGYLi9IIJtRZuIwVnXs6YjPGAB8Rm4LOBkDCNfZtsFbb2TVdsatYjU1V0Lgyojl0vvlQMnmAMa6ExKQocHRvXy+jilaQ9uqN2HBkqwLMjDKIjeI4F0Ro+fecbRM1NsPQaw+ZlHiAkvSpVdHGZ5PqY7OcZvPXPQMbuliOMxCrYoPOSSE2GJws9/zFA/A6y/TdKXJ8GfvEPQfho3c86X1c0bk3SSoaZp2KOhtok16oXe2jdzwJn7jn4KQvw9mOLfXgN/7uIXjq1KrXcWWc7iqicWWU3Kiz4hPY8IztJHppmP5/tozu1atjpKJJ+eNya9S4JIHLmBLY+Mo9F/QP+NowVsQmXaei2C+hxz87LkaHGpx4HhsWf7cbba2Jnr2ATWpTWi5MRZsMYjNSYMFzf8EDKFe4NixxLE7CYohNsWzbpLJIURTDf/+r+2EQRvCTz9sDW2Y6zsfScVSuQef4a2z8e3iwzTCOz/nFcmFtAL/66Qeh02rAP33eJRAEwaQvKdf+6q6D8KGv7oNhGMNNP/Es5+O40+2DSitN6KqxNJarL6AUUp/Ahp1mXAEGf7fjUoTqlaCirU8Csalg8mVQwi8p6h/oQcI4qWjyHteHIXRabljC5BAbeR5flsKkegWZrHKITcQg+XFRRFb6STbfF7GhC95Y+9hUUO65DM2wTMCLz2q5RI2N9yI9oQLZ9WEoNhffsawiNtWgouE1F5Vg5d9zLhu+z8EoqgS1EUBmulHAw9U08QAPZ1Jp5lsRKlqkrG++a02xhMSkHOdJITZ9Kh7gmeRaVWpsijUD9h2LmipaBeZ8KfGAglQ0LUgYp9wzuUefcTGpay4jhV+ropWwSS16mM0fjCKvBX5Sqmijgko4k7Siyj9xHKuBTcENoj+KCnfn9g/EJuPs00xkGfpckT42CCBUA7GpXmBTRcEQfD9n1gZex/HaGJ99oAwyPCkr0+aAft4HTSjzjMuYhpaOi4pGEZsSCczehBCbKjTiHpQQDyiKWk4K/QBQExI+iUTuD4zLPxiWoLxOqleQySoX2Ogw9XheOM3m+wzQSSE2VWzQWRR14c/VV82DHr/qmamTiE1x6hzA+DZvygUvs5EWoaLNdVrex5a1kAStPqaPqQ27pLNmal1dNeZ8JAIbv/o2PnSLIhGVEQ/YIJquT5JLD+7HJR6g/n9c+1dfEQ/wC2xWaY2Nr1BJWGwPqSKq3C+F2BT0DybEjgBQ79Gnlw2fp+O45jCKgS6H/qpoxQLPs2GVC2x0KcjxLLZUCthn0Surinb7oyfgDf/r6/DYsWWv44pm1ydpag2H+7Mq24GZZo586WhSFa3YZoY2rsJPBbEpIVE9DN1poLiZzXYxsJkEFa0cYlOFOjXqeNJGeOey4Vxd8ERsNqyPTQWcQYCywipkXS2D2HjO2zsePwlv+F9fh4ePLHkdxwOocc09RTzAM8GlqqIVo73GsZ8zqc+Bc38slykwL+rT8CDBVyV2fRDCT/3Bt+DDX9vndRyA+o68EJsJ1KVqIgueSZ9+rYpW3CaVzVkmC52P5HPZwOYvvnMA7t6/AF94+LjXcUV51ZO0ollJfn/eiA0ZQ8t9v8wxHltWFW1cUp1rJRDEogHkQAQ2TQCYUB8bX8SGZ/kqkNkfscCzCobvpzQVrWAiZNIbsKttRA0hwHj72Hzy3kNw9/4FuO2hY17HTazGhqwRPk7oKFQpzGWSKF6UygmqfRU1ioqVCdDL+Ae+yON9Bxfga4+fhI98vVxg4+M36jU2Z//dan6U5ynrPjYlTKtNmABi46OYsl5SFe1kWlTrmwUaVtDJKZqR0SgTBfvYAPg36SyuijaZrKTSMLZkMOb6jnDszk21vY7bCBM1NmHkmQ3lwfKGXtZZMaXGpiIS7/h+esPIa+MvhdiU6Hk1KSvXdZ3UW/r0seFJRN9Md0q98a2lmJTMdFHEhtfjlBEqKULBxtrFKqDKKmJTnB7s1ZCXq6J57nu4tix40mUBSiA22jWf/XfLn4s3Fa1GbIqbXjA3nkiWDsoyNTa+Km4nV5LAxj/jXFxWcVIWFuXQltwIqRPrK/mM5/KFtyeVldxIxMa1jgM553MpYjPOmi96zT7Zav39nPtzaFTwXidpdM77oDb4XhtCkKLYejHpDdjVqJNRziEcH2KDgULZ2pFxrRe0BqJo8hKgSDPgYns1vo9uKiFchVraMk0ci9bY8LWwaG3PSn/k74eRc/moouE1N9MFbiyIjaHFgY+dS31sKhfY8Pc7jo2JZ2/WPLoS8yDI93JPriSbfRkqjU89xEZYGMWFMgxFs5JliwOpU+Qb2EhFm+KBZ/L/cQU2VDygXN2JK1qKC95sKh4wTqe7qCIUv9cKxDXK+/RdLyZldPM8s+qeEUWne6rtT29UxQOcD5uolUNsis0BTainYGAz7v4scRx7oyYAKmLjk7zkQVAZoZIiCT2cA+Om/xR5xnRd8k0GFm7Qyd5HGbWvhXVPymxhxCY550x7fMlAfo449utlU6uilbAyFISixgvKvWps2KLnk5EZjCJYXE82e19nkDud42yu9vrf+xr8+O9+zRvKLCr3zD/rnwmSxy95UtHw2DJ9dwDGR8+im7AvRbEwFU0gNuNXRaNZZ5+NWEMBK0BZqqLcM50HPgICeHsiW10Q4a0KYlOmxmZUMODlY97XWSmK2BRNoKD95z+7B66/+YveghQ0IFntu68VPPHp4x8AFHfYOWIzzrH8/i89Ds++6Va478CC13Fl5J6HBZEtXTq5eELPl45WVBUNr3GqkyZuxhAomHwYnyE1IAyOSe+XlQ9sxuGw8yz++sB9kPEo3WfxOb0qF+ayxc/jQgSWekN4+MgSPHJsGVY8kC0AdbEqWgwM4M+bp2PIt8amqNzzpKQ6y9R8afVtjlQ0DMrnplpex22EFe26Pimp2zIWFrzXSRp9Pz6Sz7hxdlvJxu9zv0qDzgoGNt7S8gXFA8rutesFEZuywirffOIULKwN4fsnVr2OUxCbEqwMX8RmWJSCHRZHLcvad548DYNRBHc9dcbrOIWuVCLg9RkTGsXKd/7QNWq1uHqjj5ou7pEzaWAzDnEhfE5YswVQXKRh0utq9QObMbxwjtiUoaL5TGasrwHwd1T4Ijcu+s9qwQaQURQr2QG/BlzcCXU+NDmXQkXzy8gUFg/Q5J7HsxDQTGTZYMw1i4RICco9j7Nehb6XMlS0KgAg1VRFkw/Wp8YG0eCpNiI2xeqnqigeUIZC6iMqwR+Nf41NVOi4MgFVHMewtD4qdF7eoNOVhsMRG1+Kllpj45PQS46bBGJTVKa9FGJTsE8KjvnpgpQ9ep2+/bYUVTSPcYH+WtFrLmICJUqTRQB+66P6buvAxssm0ceGO7s+UDPn3/pE3idIYNMvUTAKMB5VDQB1kfc5p057KI7YeNe7UPGAgoiNb7ZMo8+Ni4o2LPZ+AHTOves9iwadaWAzTjShKA2nmuIBhL9ehUgM1A3Qj4qmIjbnv9xz8Uw3HQtFEBuhuuXprGCG2jszX2Iv6I8icY++6xvd1+PYnTqkiQeUqbEpIIIxiRobHAu+jn6ZBp1FRRYwIJru4FpRnP3iG8gpVDQfxAZrbDrjQ+PwPjstGRbUiM2YTHeuxo/Y+BSB8SDIC7FZJoGNp9IKn7zjyuDSwMYHhSjTEFHXqS9O1fBv0FkOsZEZ5/G8n7WNRGxcVdFYYDPWBp2FxQPUz1YgrilcJD5JoxlBHydJigck86eo4l1VEBs6ZXxpKYXpmOmz6TT9UTEAiVx4I0ycRu1xPNakAvij4HzOuDIzMHmJCn3+qmgUifAPPGWd2fgTRr79p/olsvqFxYWikohNQbosgDr2ex5zD30aGYz5oqUh3PXUaa86ZzxnlwY2PohN3cemuE0CieA1NmWkIH0c4FO0xqYEbJv8f1yIDSlOL5MhL1Fj4+s30w1h2VsVLc0OFlwsx51tWytIFQSQzxkzOs5UtHSjnwgVjYoH+DTdq6B4gEI5qgpiozgNNWJjszKIjdLHxuM5xSyw8X1WRRGbMnvBEglsfH0Dvj647vMYAG2Z6STfM+Y+NjgHxtXkGUD6F77F9Bsl9xzH7sfjOUUS0TugktdcBrHxqrFBlKmNe6bfNf/W5x+Bf/6Bb8BnHzjifIwYT20ZFsQeU6jMu91oq1xggxFo0cW2iJVBbPji6OPUUcRm4L1YcsRmPI4ODQKLZJ/ksf4LvPyu4lBz0Qadvpuo3oNgPO9nfVjs/cRxLIMxDGwcA1chHtBFWH188uNF+9hUUTygaL+SSVpRxSEhHpBuwj73ey5RJlytaA8PgDICGsnfnQLKc3Eciwy17/WW6Z+z1COBjXdNUNHAJvnc1pmkAbEvWkoDkiKqaOiwj6tOk57bF7Gha7Cv0ldRVgenopVhdPjeLx3LPiUMOE+RiuabDDy8sA4AAN8/7i6gIREbWWPjk9AbKojNZPefygU2Ug1nfJOZO7s+XEk+mH0mVRnxAE0VbWyIAKGilUFdfAIbjYrmfGhyPDlX0T42RXnv4ywOBFARNZ9nTD863ZEBiothJnSu2xY/GxcdTW2QVhxBrEKcULSeaJI2Kug04H4rEJvIPViuYh8b6iCV6WNTiIqGxek+SlRhLJM+ZREbn8BmndYQ+gY26rNZ9aSibU0RGx9ZX4AyiI3qiI4zSMf9yx+xKa7KWZRyrlPRitP6falodAwW6mNTkIqGx/usqbgnI2gA4Ftjc+4g4dULbBhcNk4qWisl0XpR0UoFNlWkohXbWMogTKXlnsm5fAKbKIqFg1WU1jU1xgZcACocXpS+I+RFfRt0dmUmaFwZncI1NiWbvk7Cqt/HxgOxMdAmXIPlKvaxKaOKVlRUAtkR7aY/YkMVoHwpUvz+fO6X1tgUrQnCbu+u1CFM5m2dLUZFo/dXRDSnCGpZ1nAseCM2tEFn6d5vvlS0ZP+JYr1WO8tGyhpVXO65UB+bglLekirofr3oB7WbgagXK6yKVgc2fsa51eMUD9g+1wUA98g7juOSgU0JxEYLFMYz0FZojU0JKppXpqDEsQDqJFzuuTtXZRwkuSmNGbEZUCpascAGM1+uVDTeoDM5dvyIzSAsUWNTAQdYpd2d+9cLoFIditXYyC3M1ZFVamwqUDsFwAvMi1NpfPaRiCM2PoENTaAUXBvRfPYuSkXz3fPQ8URK2bioaIWL4kPVFxqr3HPqBK8NQq9ATikwL6n06nq/sl6FJtb8nzNAAfGAglQ0vOaZgvQ5Ke7gfr14zlazIYL7caqife7+I/CFh455H2ey6gU2jIo2nhqbZHBcvCkNbBwXvP4oEhl9yZUsiNiUaPoFML4aDoWK5tU0j1+vj9OtnqcMVcNHFa2omg2ADPqmxl1jozgcPtQs+VmZRXKkoiFfmAQ24+qrpIoH+ATaLGtcAQe4aC3FJI1e8+L60Hk9j2LVqQNwH490A/bJ3E7SyggelK0zK6KKRrPTZfrumP6fZVQ8wOe8SU2QSinzVUVDxGYwirxqCIu+2xEL7scq91wQaS0nHhBl/t9mXGHM99xlxANUxMY/ABRyz77JjFEBxCa9z1YjgEaq8e6F2ChBq9/1rg1G8J//7B74uY/dvSG+UKUCmziW1J/OGCUOkZ60wxOxoU4kZqtdJ1QYxXB6tUyNjfr5cTmSqnhAscU9ObZ4UOTrrNBz9UeR87Omx/nC20jPGDdiU1QVTaWiuc+9OI7F2Ou2GoWlY4taUaeOv48qOMBVVEWjzmccq45p9nE6YuN6zxceYkNqr3yoaOmzaafP2GeNo3tk0Rob0T/H43hF7tljfRuEMgl50SwGNp5UtDQgAvBDbVTExv84SWceIxWtYG2cQkXzplRyH8Ht/Y5YkOB7bjqOFtaGXkFrkRqbOI5JMJaqovlS0QogNnitbYLY+LyiMkHr2iCEURRDfxRtCLvIK7C56aabIAgC5c+uXbvE7+M4hptuugn27NkD09PT8MpXvhIefPDB0heJRh9W1zNrXMbQWReIjeMAXUs/12k1vJVlzqwNlMLWMvA2wPhqOJQ+NmUcSY9NtKw0Lx9DvJO0zcoouWEGZmrMPQgoFa1IdhBAZsldAkA6brutBrSayYI5DipaHMfKPfohNsXf7aSMzreqBDZ8XXJ1knCOtxqBqH10XePou4xjGJtCXxkr2sSRH+tHRUv+7tJiYsdnRbPThWm6gpXhfs2qeEAxhAkDG9d9gFPRAHx7ZhVDbPC5dAsEnmWN7ldnVt2dZ/pc/GuviiF5SMudIlQ0n3NzqXWflhBFVNHCSCbwpwvW4BYTD5A1Ns00qzAuVTRl79oAX8gbsXnWs54FR44cEX/uv/9+8bt3v/vd8N73vhfe9773wZ133gm7du2C17zmNbC8vFz6QgG4czVG8YCUnrRjfgoA3Klo+LnpdlNsvq6LNK2vAShCRStejF/GVksiAlSRwzkjUzK7zhdIVzqaRvcrUFM0TvGAOI6VseuzgOAzbTYC2cfG4ZpphrjTaohC5HEgiPy9+nDBK19jUxEqGn+urhlGOh5FsFwAsTH9/1w0uqb5zFse3PvJPadrcoFO5L0SiE2ZOtqics+4NgQBwObpJEBxFw9IPrd5ui1QpqJrTZHaD8VhH1OQrqIYRREb92ul7QbkNfhR0RTaakHEBgBgwSOQo9fsKh5Az1dU7hnHxnJv5EHZS5NFzYYYx+NSRVOEbzZg7/IObFqtFuzatUv82bFjBwAkA++WW26Bd77znfCGN7wBrrnmGvjoRz8Ka2tr8LGPfcz6ff1+H5aWlpQ/NqPR7zh5pUsisPFDbHBxn243oeGZVTyV1tfMpgO7X7BPCpovsvXnd+6HX/7k/d4KL6sF+9iMWPYJwIe2V67Ghi+Qy30/OkyR8+JiI2ldftf8l985AP/lz+/1ClgHYVQ48zuigU3TXYWHoiSdZoMoLI0hsGGbvFe2WkMQ/d7Pp+49BD//Z/d48arLmiqUUJHAhj1XVycJb6/RCKDd8FOFqmLz1bJNHNHKiAeYvs9mdI/0pwar5x1HHxtcp6ZaTZhJ6T9rrsyMNLCZ6bRgKnWei9bz+SEJGNiQ9zMmZgZ9Jz50p35BuhL9bMPT6ca9ttMMoN30L4rne1URkRMAd8SGrt3TBWqzAdS1cMGR3ov32W4Ggormg2aXUUVT6nM2wKf3Dmwee+wx2LNnD+zduxfe9KY3wRNPPAEAAPv27YOjR4/Ca1/7WvHZbrcLr3jFK+COO+6wft+73vUu2Lx5s/hz2WWXWT+rUNFa4+OVrqSOrqix8czkzHQoYuP20hCx2bNlGgD8CxLLoAkAAO+97VH4k2/uh0/ec8jruDWqilZgke62/SWB+XmKqqJhHZRrk05+fUUChaL86P/15e/D39xzCO4/tOh8DB+3RWqgWp4ZcgyMO60GBIHcWMZBRdMRm+LUSN/F9v+9/Qn49H2H4e6nzngdV8aqWWOjzj1nxCZdC5tBIGpAnOWe2bOpQO/VwjU23NEtIqOPcxbAfY2j2WnfuYOBUJHkpSL37EVFS9apqXZDZMnXHClH6ym9d7bbFNLLXohNwQadUjxg/DL6dBx51dgUpMvS5zLlWZeKVDRaO+LViqIgXRZAnbeuCXH6XHyFeuR3+CNqArFpEFU0R5+T1tIClERsxi0ecP3118Mf/dEfwec//3n40Ic+BEePHoWXvvSlcOrUKTh69CgAAOzcuVM5ZufOneJ3JrvxxhthcXFR/Dlw4ID1s3TOdgtmun1tGEZikfZVRVsXi2UTmg2/6z2xrAY2ybUUzzL4Dha85z/46j6vgGqlZI2NIt/qeL9l+thQqsaWlCPt2stGQ8XKFH56jmPciH0yg7wYtkihajMIBOriREUbqUjcOKlo/JkW5b0D+Ged0bHxrY0rY9SRqwoVDef49rmkrsEdsUmOa5Aam8JUtAogNkodhk+jTDbH/cQDkr87BRznMjU2fG0sWmPjs1/ifjfVboosuat4wKqgnLfEOufTs6QoGjdJxKZob5eiBebGwMZTBbHVbAh0t0gAiVak3xZAMidcfKmhQJga0BaBmC8VjQaejoiNeE5SFc29CWq55LJSn7MBY7iV/xFpr3vd68S/n/3sZ8NLXvISeNrTngYf/ehH4cUvfjEAAARBoBwTx7H2M2rdbhe63a7T+emi2vXM0hU1Sq0qqoo23WmKCe2O2CSLBQ1sBmGk0AKyTM/U+UbQyfU+dnwFvvLYSXjFD+xwOk7pk1KkxqaV8Dvj2F/1hH+X07Hks1tnOnDwzLpzYFNmMgsqmqgVK7YQ+AQnXL7UD7FJztNs0sDGXTwAs4ptz3qIMsYdwCKITbMRQBjFhTNQ46SE0fc5rr5VZQ2f6/a5Ljx5as1bPIAG2kVr8qpQY1O2DgOtCB0zkX9NAp1x1th0CjQGValo7veKiYhuqyHo366BzTphZuA6VzSJUoS+3S5Ql1rGeN2WDxVNoSv5+Afks76CO7TxZLPpV+tMj0fzQWy4cuogjBSEzWTIZmg3A2g1i7U1oX3Mzqy6XS+OnXbDXxWNryulAptJiAdQm52dhWc/+9nw2GOPCXU0js4cP35cQ3GKGs2sdcQL3zjHwRRNYyH5VLsBm6aSjP4oipUXkchQ68euD5NjZzpNCYE6vvBTSEXbPCV+5rMplRUPoIV9f/DVJ5yPWy3YoBMXuSZVOXJduEoFGPKziNgsOVLRtBobx4U6imKpOFQQscGx4LM5aIiNV+CZ/N1qSDqZSxbJhtj4BnIumS7+GR2xcaeH4LrSKbix4OfHlUGl5wRQAypXxLXIMy5r+I62pYiNv3iAf7BcFo0DGL+Smtqd3t/5RfPqY5PeYxCAcLCK1NgU7WMjWBmOcyiOY0Uu3GdNpYiNqLFx6GMTx7FI5s10m2Kd8xMPKFd30m4G3lT3MqYjGMWoaD4OLPUlfBVmMcnTaTWIb+GDeqqf9Qnk+HRzQfLwGbWpiqi3NDapsXG83qEJsXFc5/jaW1TiHQBgsAE09VKBTb/fh4cffhh2794Ne/fuhV27dsFtt90mL3AwgNtvvx1e+tKXlr5QABk9qko4GzORf+PvHoIf+a0vwSIbBBjYzHXbSoMn6iT+xz++C37y/V/XXu76QC6WRVXRLt7UFcf6BDYjsugBFEcEAAC++thJePz4itNxinhAAcSm1Qi8ebAmlaM4juHffPhb8G8+/K1MB5wuGNiHwLnGRqtjcrxeslhIKppn4Jme2ydgpUEnQLECymYjIHSy/OP7lsDG57ofOrwEL7r5i/Cxb+23fuYdf3UfvPZ3vqJkijklscj8EQXM3hLi/ohaWVMQm/Ref/0zD8HL3/0lkSix2eL6EF7xW1+Gmz5tl+f//du/Dy/8jS/C90+4rQUuhu9oe4qG510nGqWi+Y4p/jnfd2saa2fbXGps/vDr++D6m7+gvJ9SiA1BxXwd5zI1Nlzu2fX4lf5IaZHgs//gu+y2mzDTdUds1CbcLVJj4xFAlqyxaTYa3sqAZUyvOXGnOtHxE8XuSQW1xtMv4MVAodVoQKvhn1hD/wHlvH0COe7vuawZUnaZUOd8/Tcy/lwRJnre9LTOtH6eMPFGbBThgeTf773tUXjVe74MhxbWvb4LwDOw+aVf+iW4/fbbYd++ffCtb30L/sW/+BewtLQEb33rWyEIArjhhhvg5ptvhk984hPwwAMPwNve9jaYmZmBN7/5zd4XZjJBP2gEcoBukONw20PH4MDpdXjoiKrKhrSk+amWohaBAzSOY7jtoWPw3YOLmvO/TlTRRDGW4+XK87aFc+VXkCiDKgD/olEcz1dumwEAgMeP50t2h1GsZOq8zkneLU5m18mhiQfEMSysDeGrj52Erz52Em576Jj1WLpgbBU1NsVU0VyDVnrOKc+sJJp0nN2PQwRRXEcBeepWo+HlSKIj1RGBTRqke4yNbz5xCk4s9+FLjxy3fua2h47BY8dX4IkTq+JnG1Fj45sd5OceJyXMhNjc9vBROHhmHb70yInMYx85ugz7T6/B391/xPqZLzx8DE6u9OFzGZ/xNVynnrVnMwAAfO2xk0oBuM0oFa3lUfMFUB6x+fyDyVjbyAAvz/J6nSz1hvDbtz4Kx5b6cMfjJ8XPN4KK1iTJJtc1fb1UjY1KX3VdVznS7iUekO6tUy0iHuAQ2NDPTLcJFW2MNTYt4g+NA7Hh6IGr42xa812RCEoN9g2ylf4sBRAbPA+q4no1vWTn8QlsOkTswFs8oABVUDbolH1sXNdGvq54J2oNNOq/f+AIPHFiFT70FXfGEJpXYHPw4EH41//6X8MP/uAPwhve8AbodDrwzW9+E6644goAAHjHO94BN9xwA7z97W+HF7zgBXDo0CG49dZbYX5+3vvCTIaZjWYQFEYibGbLgKOTOz/VgiAIYKatLnrUWdp3clU5FtVSZjpNkVFxfeGYDe80ZXNPPypaLM5N/+92rDzPfEq/czmeQ/d+qmiYVZE8WNdnxTe+iFEF/+Br+6zH4jlo/4KiqmjOqkzkOJQH9VkIoigmjrNPjU1xKhqer9EALyoa5a4DgHe2DUAG+ZnIW/p9Cq2jhFM3IvMPwN/5FYHnGGtsTA06MXN+9/4zmcfidZ5eHVjvdSVF/O7ev1D2UoWh0/Cyp2+DH9g5B6uDEP78Tjsyh4aJl6YnNRLAQF31RGwmIgyRg9j8xZ0HxDxZy+hV5ZfgSv5uFHAm+7TGxnOPFjRdz6TCEguIffqkYCDS9aSiIUNhqp04oVMFVNHKKt7RwHMcNTb8fbpSnUzrr69kc7vpT88Sazmhdvmsy7i3IKrsg9jwtdSlPpsGYu0CNUEA6v15q6I1G6I9SeHkchnEJr12/M6/+M4BjUmVZ16Bzcc//nE4fPgwDAYDOHToEPz1X/81PPOZzxS/D4IAbrrpJjhy5Aj0ej24/fbb4ZprrvG6oCyjWX1flbE8Q4dI62kiqGjJYjeVBgrrLoGNQRXNuVsuyXSjc+VX/Jx8drqAnDB9BtMeDaI41cnnnGqNTTEOrfiuKFY2tbueOmN17ESWotGAuankHbt2Fi7a6I9+rkiDTrqge9XY8PfjMXdkIXGjIBUtuU+fHjhoy2lBcNb1DthimHxePUcRZwOpJUVrbMYpu6zIPac85V66TuXJTuN8CaPY2vcAnbh79p/ZsBoTmon99z98FQAA/OHXn8x9bnivQeBPRSvToDOOYzGmfbLyZY1SQvTavgg+8vUnxf9pYMM/69WgMz1nIwDv/XZDEBvPtZEjfT7qcUURG7xPDIbKIjY+CRSK2LQ9k4FljJ9jYc2eDKFmGnvuyUDd93N9vyoVzT8AxPtFxMZHFW0k1qnk/041NkI8oFEoERiSGl4Ad0RNiFE0JlFjo1NXcbysDUL4M4dkF7VSNTbjtpAMbt8sHdrRxZ5RrlmoGKUPM4piuP/gIjx4OKGmYWCDgQIuaNRZojQYALkwTpM+Nu7OusxQCMSmQKBQhIpGFxu8X5e+I1xNzCdjRqlO4ll5UkuwcVcUx1r32g9bUJuRyFIEMNdNEJtlZ8RGD6gAAA6cXst83vT5FqE6ZTnvWaapohWQ46Y1NsMwgrXBCI4u9qzHbQQVDceV7ZnGsUTo6Gd8+9is9kdwfCm5F1FjU1A8AMfVOKlodAxhQ1902B49tpyp9kczgictdS44fs6sDbUkTlGj8/4nnrcHts914PBiDz73gL1FAAClogGRe9af9fHlnnbfZfrYDENJ0/VtXgyQKBR9e99p5c+B02u5x2UhNn//4FGFh07nOZ8zPvMuLlVjU0IVLSw293TExoOKpogH+FPR8Jgi4gGFERtS9+hSl9ofhXDwTP5Yyz1vyPdbtz2zz/YCAB/ERgZxxX2pYpQ9PDeq4hbpYzObBr7rgxCOL/dEsi77eqUv5DOW+Zx3paJRxAapaK75K00VrUTfHdNe7pLsolapwCYy1Nj4OM9HF3vww7/5D/DvPnqn9jt8aLjw//5XnoB/8r6vwQdTfh9m82c4YkMi8H0nVc51z1hj4zcZO61ALJZeVDREbJCK5jWRk2MbAZHVdphYG+U4+8LqvFFZGMXKog8A8Ln7j8Bpg+zhkHwO37ErFc2UOb3vwAK8/N1fgv/rb+7PPY42u/RSiCHjwMdxXt2gBp00qfC2/30nvPzd/wDHl83BDaeiFVFFw03TdgytCaOf4dmmvPnzpg9+UwiIoKPfLSoekB4/TvEAFbGJYBRGYnxEMcB9Bxasx9JxdHLZHNjQAGGj6GgUhZ9qN+HfvPhKAAD42LeeyjyO1n90LPKvS70hvOLdX4Y3/r/fUH5ehopGHVZfKtowjOC1t3wF/uXvf0P58yO/9aVMcZaIjG8AnZbyZ99OspnzXaRQ6TQw2h7Bt2C7UWBNXif7orcqWqyipa5zSK+x8UBslAad0gnNM2ziqQc2/uwKAF/FO5mUc2E53PDxe+Hl7/4SPHosv14287wkaYr37eLso2/VbTVEUOROH01Rl2YB1VRkZbSKiSzgM91eALHBsTybClIcX+7Bq377dm1NoiYCG4U655P41BE1F1P62Hj6q/huEZnyTWaoNOpY+Y5WI4CjSz34yqPZdaLUKhXYyExBUIgruf/0GoyiGB4zbCK82BcLQy+a7cAzdm+CNz7/MgCQCIhEbOxUNJqh8M0yiEx3sykapBWpEZCIi09QJCN30dXb4XgtM1rEcS7AKx2F8jknx0k4d+tMB7bOtCGKzZloKZnZEPr4rtk2E2LzRBrcPnx0yXQIAKiyikVUT9RmVu7vFTdq3yAbwIzYDMII7j24AMMwhkNnzMolOmLjT0UTiI3lek3ZHgD9meY5G48eW4beMIJDC+vGYNnVaKA1KcRmGEbQY/ebRUejz+qkIQEwCiOFRpFXs+Ni1GHH9fHFV10EAADHLcEVmrFBJ0OVjy32YH0YwsNHlpQ5XUYeno4h38BmcX0oGi9ftX0Wrto+C51WA+IY4KlTdgSMB158XB9bSr7zhXuTZ6cENum9zRBFT9fsr6Siyf3WdU3eiD42U55zjyM2Rd5rtyWd9UEY5a5TQiCIU9EK97HxRxKoKlrW+3nixCrEcULNLmM4flqNQCiJOgU2RCHTVz5cYXQ0iyWJ24QNUqTnHNbYrPRHTr4YXd+Q8XP3U2dgpT+CJzIQbykeoAasrvTfoqp1qmhB8jNnKlr6PKbb/vslgHrNosYm/c6n7ZgDAIATjoqZABULbCRiA4W4kvjiVg2UDE5Fw8++/ZVPg8/9wsvhJU/bBgDZVLQza0OlGRKFT4Uz6SlJ2m4FGyIe4PWcRnKAtz2eM6+xKSKvqyrw+CI2srcRZnM6zUAEoyZFEhFkkMyvK12DbyKjMBbO1ZlV+2JCF+kiRZ9qLwD349Dh2ZQiU0XEHWhgc2ypT+aL+bt0uWf/jJlEbMzHDJRsj52KljUeR2EkrrU3CjVVtCLS2Mn3jjGwIfc+CCMt45wVjNBrNiE2a2zu5NXsuBgduygYIhIpOeNDkSLGYJnPR/L9xxblPWmqaB6IDV1D+p5yz6sku/8Pv/RK+IdfeiU8+5LNAJA9F/NqgnBcb0nFT9aUJslRes6W9vk8owINvhL8vVI1Nurcc13jsMbGV8ENQL5LitgA5NPRBN08RZeE3LPH2FBU0c5iiwT0VcrSSGkycIuQQM53ngckePSlm0uaFGHreNbYFFVFw/Nsm+0IRGJhPT+Qo+fAwObhIwlaNhhF1kAFa1fbzYbYLwE8AjlDDZRLUDSk48lXFS1UAxtfpoKyh2ONTfozRLt8kvOVCmzUqN0/002LkfgLw8EgKGkGPigApaIlmwfPzOwjmTe6ABRFbNrNBnRLiAegU+9Vn0NhXw8pVb2zvU/WSgYYbU9uteaExipfVAY2+vWMyCIiCtsdG0TpogWRqG3Ign9V9MM/g6QiFD6BTfJ+NqUOkA/tAYcPveb9pDbA5kRw8YC2x3hCW8mhog0tgZ5Pg04alPcGJQObgjVQZY33seGB/D0HFqwbnILYGDJjPBmUV7PjYvSZ4kbqOgcpYiOP0RMNaIcXE0SRdk1HJ6UoYsMRsTzD5zXblY5zy8EJz0OY8NhNIrDJRmxcAxtZu1iuxqao8IZQRXNcK5bSugVEEfwadEqhH8qwyFNG08UD/PZqTjMs1seGIP8Zx+N757XAvobjremL2BBmhS+djNZX+/YEVKloxYrx8bpROdUlkKMJk1kR2Egmh+1dDYnvh9eb9Xnt+JCvD7FGQzeZpKI1IAiKoWLoa0WxnxAGTcrhv/F+8dn5+LDVCmwQGqeSs4bBvbA2gL++66C2GdPFZo0tvJI6wgKbpvqIuCoadx72kUVD6eRakLOoyD2HPn1sGGLjMSioKocPdUgv0i22SPvX2KioAJV7bjdljZIJsVEaTzpmi9FMmVQcN6uD0OpACPWRpnt/iG/vOw0PHFrUPuvzXtHhmU8RGz+qoB54niCZfduiwwtGW6WoaOZjTDLHyTXzwMZ+zlXiwFDERowpj6w+Hfc+i3FZU/vYxGK8z3Vb0Gk1YCGj6F9BbIyBjUT7LtkyDVEM8N2Mmh0Xo+fEeeC63uAjblJasiVZBQBC4IJ+pogwBK2p9EVscP7NkcDGVh9ETQtkLBLOmD1X5J5NhcieoizNxnhV0bgioXONzXoyh7fNJs423vvp1QH8zd0HM3uIUPEAAFmbmofY0Dpaerxr81Zb0IrCElkWGvaRrPeD6x+vBfY1mgzEMedCd8K502mqVLSFtQH8lcFfU88p9x9f/8BERfOqaTVR7wx0Xe2ayfWhc04VV21rnGnO8u/LPC8iHZ2mWF+crpf2sUnP6zp10WekCRSf2kVFEClMkk84F0TLEseEM0DVAhtcaAPCPTQs0u//0uPwX//yPlFUiUYH0qplgOHkp9kFapKKFimfR6OOAw7EdgGZQXzRnVbRPjYMGvQKMnAh8FOf43LCflQngsY13M+ZfA6dUCIeQBZflA01ObZUFc1XVltzpEK1f44NtaHS1i7F9N87ugRv+uA34G0fSUQv6DjwEYUQiE3am6ho4Nlu6suGDSbm4gGdQlS0Yeb10gWPjjkenGTNH7oerA+iwnSY5LMToqLRwGYUCmdtfqoFz9qzCQAAHjhsrv1SxANW9HGLz2eu24LnXbYl/a7FUtdLfYuWCGzcVPMiw3jkx5gQG+pkFwlay4gHrLBCc4BsRTc0LYFiqR3bYkBsJGvAn9Ic0xobb8RGRVF95MGL1rchFe2iNLDB437vHx6D//IX98En7jlkPZavU1wkyGb4rDGg8UVsNAGaNDn2to98G376f38rM0CSa7JbjQ1e0/7Ta6X6a1FGBzr6i06ITXIvFLEZhhF88CtPwC/95X3wpxmCISPiH/gK0FBafxHEhvoIPoEcnafzJJmBZpuHVDhKCWy8yxgaoum4C8I0JM9YUNEc562gotHAxoeFQsYtr23DoPC8VUUzFYyaHA7kMfJiIzqQKLrAi27pZ7kTp1HRGL2JBjYUsfHpY0OjVUqRKlKzMtXxp6JRGpdPzxJdPMDjekPybj0LC7kTGiqIjRQFMCM2Mvj074cRsf/HyjuyLX50kbZlm6l9+Kv7hPgBbz7qQyeTNTZIRfMPPCkVjZrNMbOJB7iOxziOcxt05tXY4JzNRmxC8m85jos06FTocGNEbEbKc4iVPlrogPQsjho99lQGFW2m24Kts+30Z/5yx8o5yyA2ZC+wNWum92REbAoIQ5QRD1g1UdEc7pevo3pCBRGb5B2vK3LPct76Iv9UPMBbFY2NMx/QBuead4PONAFy0VxKRUvvHQN1kyomWo806AQA53rLdU3u2U88gL/bMIqgNwphbZAkJnhvHvWzuI8ETgEyrYek8uC+RmuHhZKow1pA9wIaKCNCnEWRo+JCvmOR+nJlxANajYZYR12UxkIDFU25Lut+Jn2/JglsXBPFwn8j1+tCFVRV0ZKfOVPRRiri6XNscm51z1TQrs55TkWL6ETOyPxicMGDDvpgKLowMjhG+YiNKh6AfG2qdjEiAYIPYkPviSI2rosl5ZHPtFvKtbiYovvugdjgxl0EJfIthKSmBTakr0nLVTygGUCn5YcmaI5UFLHAxryYhCTjlQeNn1juw6fuPSz+n2QzVNjW1URgM51mQAoEns2GVMqj5lpj45sxWxuEwimyq6JRhIRmipN/I/89QfLM10kRGyr3XaRBp0KN86ThlDFNFY0ENnlICD3WiNikY2e224JO0z9ZYjIaLCOnuyPooNnPLSTiATKDyyha5J6OpIENzaIWQ2xoYONJResbqGgO84FPU73GJvn/5jQ7u6rU2OBaQ5JUjpQOU12dayKFPxvXJFccx5oYjHONTRoECCoa1s0iCyNj/6QNOgHAWa1SUNEwsEHxAFdlTW0PUXuwZfWHoSh6Xn+WKIqV+VpGQIAm5nAsZ9HI0AQtmVDRhmEsgsrDGf3QqMiPr0If7UlWRDyAymr7IDY45oNARWnRbGscTcomDYgLylsr15sf2FBVtIYnYoPH0vssIuyFx9E5MNP1VwWuVGCjyk+aF57eMBTZCJ41og9vpa9ntQDkw7OJB6CTjE4iTtYrt80CAMCTJ1dFAEYpXVJiN//l0AWI1oi4OhJKg82Of02DqaDeSRUtfSY4mfwEC+gi7VtYiM6zXNwpEiNqbLKoaI1AOmxFaQShunm4UNHEhmRZ5P74m08p39kfqTBtEfGA+SKITSyfE2761Kw1NiITWoyKpiCrOZzk5N/ynjhik3Wd9Dx0k8YxUUSGNeuaz4Zx2Vh831NtWjSbH9icWOlr1CFJRWsWosZmnRNpDwASsaGotckkFQ3EHOKoMr3XIykVja4pVB7e1fqKKprf/RupaA7zIQuxoc8JC5vpvkednI4nWorPuBFAacTGda2hH/OlgWIQgFQ02SQ3Uv42GU0CAIBzQs9KRXMcG6YaG7qGZTfVdUv0AujvvExgQ5OBOJZXckQWAOyIDQaBRxftKJKJqu6OYMjr9Q0Sks9Kf8gLsSHvp9s2BDY2KhpjC/kmegckMJLX60BFI4l4WWPjd06UaAcoJ4iE76wRyET5eYvYqCogZkjxSaJK1mNZE7oRrypUNN0xotErNUFFY31snrZjFlqNANaHIRxLmxXSgSInsvyuOI7hA1/+PnzinoPKOeiAbzf8a2zoM0F9fZ/MsVq85r4Z4jPFDZZvCt89uADv/MT9RkpAFNNF2i9Ljs8ZUYGIIDbtlkRsTMW+MhvTgHbLb8E0bUo+VLQ2kXs2oSe9YQh/8k2VdzwYRUzu2X2ycyoaLpR3fP8k/PIn789UAMqnomVvqDiPfOl+NGPpoopmUkijjqTN4aD3Tp2JjmNW/w+++gT80TeeVM6bXM9kEBsA2bBwut2UymGW61GkokcRLPdH8LFv7Yf3/cNjAECd8pa2Hi31hvB/f/IB+M6Tp72ul44pNDq2ssYITXLZ6gDpvXIqWrMRiCaBPhtwT0Fs/AIbHGMUsXFRCcySe6bPCGtsVgcjEZjS7Lpvo+dIiPX4dWyP41hLIvn2KwGgNTZu17vIEBs858AhsMF3KQIbxwbgUhWtGBXNVGOjJGAtiA1lZTSVxKn5ek21wAdOr8GvfOoBb1oaZaIgxWqNBWBRFMO7PvcwfPb+I+JntEEnDRzx2o4s2BEbVVzIbywOSaK26YjEUVNV4NwREKoqOG0IbGw+Fe1jAwBOinfUKKVsiw8VjTBJGoHur55a6cMvf/J++O7BBe1YIeXdJs1XfQQaGOuC9lIUKP75ithEhonMHUKqSsazRnRyrw7MDlM/B7FByBkzPOgsz3ZbsHvLFAAAHF5Qs4OtZiD6NNBF+suPnoDf/Pvvwa988kHlHFR3vdHwL/qkz6RQg04yMYpQ0RCx4RPxQ1/dB3/6rf3wt989rB2rohh+GQpNRSeUi1mr0YApQQ8wIDYGta9BaNeYN50XbRipQYdtMTEV4psW6QcPL8Lp1QFsn+soVCL6Lv0QG5WKhvf+/i89Dn/yzf0K5c12zS2iHkfNKh6Qzg98Nz7y4QAMWbUslJRaQ8ccrhedlgwg7YhNSP6tBzZZm+ji2hD+n797GH7tMw/BMIxYomSciI16LqTmuFDR+Pt46uQa/PIn74ffvvVROLrYU5xy7iB/6XvH4Y+/+RT87j887nm9ckyh0ZrGrGeHr6MRZIgHKEpvA+iPQqP6ohcVjSI2nlQ0HGOzSmCTv77qzi8JQslxmFCKY7nWjche4l1DSOh+PlnjYaijba79WehxU213hy6KZC3eVoHYqHt51pojamx4v62cfXNdU0XzpKLxGhuG+qNwCjf6nFoO4kT8evadXIX/6xP3wx994yn4cyaylH/NmJgLCBVN/f4HDy/B79/+BNz82YfFz1TERr5bTDYt90fW+6W+lI+gEX0exWtsZCJSBgoO4gFkfcNxQc3mz9EaGwB39BBNCE8R1bqsWi00ep9ibSTP6XMPHIU/+eZ++P3bn8g8Z6EG4Iy+TXsp+iLNABULbEKDQ8gXWlrjwrNGKmKjS2LSf1vlni1UtKlWU2Rr0NGiA8W08Hz4q/uSa2GZ8uFIHdi+NTb0mRRpmEQzHHmZXmp4H7jB8g0UAx8Th5/KCfsryKmbkoLYKH1sDIgNvdcWdaryz52H2NjgX1pjQ5uR8mBqfZB8bttsl4wtXmPjg9gwVbT0+nEuZDVdxMayDQsVzSoeoCE2flQ0utG5IDb0+VMnNo8iotTYKFS0/EUaNw0UrVCpaGNEbNi5KGKTV6TO7++L3zsmgoeTK33ilDe1jQafl0l0IPN68f00bYGN/dnRJJesy2GBDTv+2GJfONjtBs1KegQ2FLHxpKIJ8QCCILoEG1mIDR3vuO4CyP1paHhOzohNQXowZ0okx7mi4PL7fXpIUacHnW08J6+bNVmfUdGEf5Fzv5g8nWaIjalnmsnyEJtlCxWNN7fNq13k7/yup87AVx87CQBuhf/quSWCIaho7DpPp0k9+nMlsCGUMBp0HbXU2ZianfvWK7dJTatPfSkVLvChotH9x4TY5Mo9ay0SHP0h4l/gWsMVa7POqyA2xCeR/pu+zguBBpJE9OoxqVDRIuK/2df3LKtUYKN2mzY7SJQ7yhWAbHLPRlU0IrdMjctA0ow0b7aWpYr28JEl+NrjJ9P7YpsVccoBQDTodN2Q0NltBO7FuMrxRB/fhQOOhg7ylmmV44yG129aFHylK6lxWV9aJN52FA9oNgIliHW5X359Iyb3bNOOH5JFmlJv+DqN6kXdtkpHtDWkzL5WWaQpG3SqG392Z3qK2OhUtPwaG1VtyLnGpqfOUxOSpj4P+W/Ky85ThFoz1Ni0HGkPy30ZfA1HsfV6zrZpVLQ04Oq2G7lF6nyjv/XBY+LfC2tD4pTrVDQ5r/OzgtRMiI2Cxjs4+xTR5okffvzhxXXFKROZxTGJB2DiR23QmU954u/VtF+1U+cW10B8X7Tpnm+CDE8TeKqi4b5La3Oca2zIpWGQ4OIg0bV9jsnDCipalniACGzULHnevikCG03uuWgfm0iRr7dR0VTEJr9pJb5zfB9UEtynPx6AmgzEZ81pzJjs6SkIp0xAUlYGHY9HbIEN9Q88xhR9lknDy/RYHyqaIm/tLh5AEwNTJipajtyzQGw85xCO81ajIUoR1hz6KsmEtpmmm7XO09INH9oqGm/QaU6un6eBzYhsZrYFUwlssmpsFElMPeM7SI/lcs/TzEmmk5U3W5NFZzoK8eGv7VO+13QN+H3+VDTMMDS8M+TJZ6VD6ENfEDU2M2bEBhd706Kgyjn6BWOmvgcUzs3qLUD7PLjSYPh55f+5Klo2jaDV4HKO7HmRhmZ0w7TJG2cZbZgnGnSmzwiv+fsnVq2ZKJFUsPWxyamxkRQPv3fLM5amxdImHmBCbGyZVJq1xLqexPm1n1ccS5yPQRixGojxITb8GpcJYpO3DnDn8SHSIfvM2kA4LrPdFnGQ1TXQhcetnDPCBIwaKAvaXMZ6R5Nctv5TfH4eXewpNXUmukWeleljY5J7dqE84XvF5x7H8po5us9rQMX6RpIorpQOSUUDkmxyCTKS759qN72FYOjnumw/dTkndSJD9ox8amxcEZs1RkXrZtCeTaahcbH6fmziAQpiQ+pS82T3t850YNOUKj3sizzShC2OZY76LInARtK6KQtGoaIpgY253kfxpTz2EPosW6RWzLXmOIxk8/YWoaL5ITYNJbC5eL6bef28xkYE2QVU4Hh7kszjSECFayNNJGat8zTBUkZ5LvkulXEj9xv37zvnA5tjSz34x//zq/DH33xKUtGoxGdGYMNrbOggVxAbBoPRz3Zb5sCGU9G6rSZwtY4RCRBEIBYmuu2fZvUMJjocbtiumvryftJBkUHZyzI6qGw9IkymU9GKIDZ2YQib4f1SuWdaQJeJ2LAgQ9RiOGxMPOuDzdXQbIufqtIixxe/XzEGsxAbZ9nk5N0EAaVqqGMdAOAeSzd5BbExUtFsmULZlA2Pz/o8AMDn7j8CP3bLV+DRY8taxtK0WHIYG43Kw+cV9dL1AMdxq2GG5LmtMCGSoeV6XO1XPvUA/JsPf8sr44XnpoZ9PaYIFQ3f9QOHFuHHbvkKfOl7x5NjM65zYW2g1IfwRAGO+bVB6IVimBAbAD96VqNhT/zwezq8uK7U8hWiohEn0J+KJul8aLZ9jBpHpOnnMdsuAxtVfpcK2GDfHtd6S7Wm1X0fof2TfLPNsuDaN5iScs0cbZEMCvv34PFdbZ3KPnfP1sfGVRWNfX8Yqeu7teaEfKZpaKAaRTH83J/eDf/5z+5JrockYPfumFO+y+ZXxHEMb//Tu+C//sV97BrlnjnbMcs9L5HrNjU9p0wQumZQxGZ9EMK/+MAdcMsXHhVUaEqLdGF0UPYJRR6zjv3uwQX4sVu+Arc/ekJ5F61mIHp4LawNc+twTTU2m6fbsHPTlLh3kw1YssJVehzNpFrn0nOM+kINw7zF92e69z5JxhepY+KCSDRQEvvB+SQe8HffPQIPHVmCT9x9UCpnUa4keSALawNFcYsjNqrcM9X6py8PF0M1S4aGXFoZ2MgFkW/IShE+iWIfO7YCgzCCyy6aJtdmphcAyADHGbEhm5lvwSiAWnDqk+HAyYM8VO5oZUX8pj42rhkKIxVNZCobmdl6GgABuHc+BzDQCFjhp72PDXUYpFPHFy5B42o1lTFAJ7hrJpRSJniwS7/vHkudTSgcwoaRimZzAPqsKNeFivapew/D944uw60PHtX6OJiOU56HAbFxEeCgCC6OY3UTtY9/eo3DUay8E98am94whD/+5lPw1cdOwoHTa17H8kAbs6amd/6l7x2H7x1dFqpFNLHA7czaUFD1Zju63DN1THzoaGIeMJU9l7o+WthuU/vixx9d7CkIRiHxgI2gonVog8789YYj0gDy2aEThO+EU6Vlc0F/uWc8R2BwnLOsR1AMk4OUeU6hjqlm9fOMIi7yuEj5XdZ99xhi49pvSwRxnWJUNFPLAFtbCtNxjUBlsOCzeuLkCvzd/UfgM/cdhpX+SKHMv+Lq7dBsBPDqH7oYAOxr4sLaED57/1H467sPKvczJHs1Bunrw1C5l6V1ed04FikThTJu6L5MldEeOrII33nqDHz82wcUyWWfccERTZf63c/efxS+d3QZPnf/EeWe2qTh5SiKrfVPaHSfv3rnPHRaDXjZ07flUkIHwicpJx7QbjZEosOFioZjpNNqCAl+Ovzx94MwUqiMyTl1tMevQbu6Z9JyjPOyxgZ5//1RJKTnGoEZieDa7Fh8jUYH0pqiiiZ/PhiFSm8ATrvBgSLknkmfDn5NdDLSTAEuEpun20Y+OaeiYX2CbzdjpUbGY5BRGhcWsOVFy3Eca4iN5qhjYLOqOz+U+y7knr2paKl4AEFOqNxzlngALng+VCldFc1NPICiHzRbzd+RQDsoHBtyRMDtGdGNn2+CdMO/e/9C5jU3G+qcyAsYilDRcDM/stiDlb76DE2Ohk3umQpS5DkcJvGAVtNN4YVucINQFQ/wmXcAAE+dWhPUB98GmDz5gOIBU+2G1j+IS+DiNSNNgtqZtYF4JkmDTtVBptlpHzoazfxSc0nGmMQDNMSGPfvDCz25zjQDuXl7PGZTzYCryV5AutxzltOCgZeK2KjvD9/JjKh5UMUDWk17AGg/b/J30+A4Z9m6oe7UHX2X79VHHbNnQIlc+9gMCX0U+3C4UrjXtBqbYns1GgqQoNkadI7Y3OFKYXc/tSA+2xtK+nKn2YBffM0PwD2/8hp4zTN3AkB+rUfyb5IwMlDRAFSfiqpw9RhltdNUEy1UafDIkgxscF1Z6Y+UxEvLg0XC65VdAlYUQRmM1LUc2R+IviwY/Bhq9Jov2TINd77zR+H3/vV1uWNrQJLlyfHugRyAmpie9aCi4byd7UofgdJ06Zjm67zaIsQfsVF6SZI9lNYGnleqaPekjlYS2Ejn17TQYmCze3MC9fG+JfY+NqqjSD9nEw/ASaxQ0Vj2TSA2TOnLRF+j5+ST0TfTRilwIvvpwU+kC1fbMfpeH4bCIUOJQe7UZVHRQoOz7z6R1azlKJJZc9q/wSz3LCcQAHht/vz+Qib3vLBuhqvppFXhcXMgyKloRfrYKFQNdj76XO49sGBckKgTSgOby7YmqKOVikZQp+T4fIdhWQlsGGJjuF+XGptcxIbKPZMaG5eMM6XLJXLP1AnwQ2z2nVwR//ZtgMmvUZV7VtcQsUZhHUL6XHela2dyXLqBrw1F0mKuaxAPoChlzmZPzYYSISKYtd6JPjYNewNjHAvY1+To0royjjGeKi4e4BvYpLQlo9yz/RrwdzSwEYgNQ/dnUgcb31dI1kHfektFrMeD/kMRG1+nzIRmu9XYSGeQKm4B5Ac29D1ijYwr0wHPi35BVmsBk5lU0ah8fR5ig8+I+0NUCGZ9ECoiLkEQwKapdq7DqOwzBvoz1q/iuekaSqloHLHpthvK9So1NqSnDv58pT8Sx/qqotEkLx4PkL2eo+pXfxQp+w0eu9WxNwyn2mIiO29s8cS2b1NRGmRMO1LRqNrqTLsFWPZI0eyspK14t62GQOB9amw4vZ7WGZ134gHHlnqieVR/FDLERn/ZGNg8c/cmAFALpgE4Fc0sHjAMVcfR1qCzN0yyPJgBnjIhNmQBoM6rzFwQtSIWXOFxADQr7gZvG/vQOMhW4uJFaVzSIcoepPg8g0AvTkfDZ7U6CMVEQA6xzNT5Q5n4ObVBpwx2shEbdeHzoe5pNTaMRhBGsciaK8cRJIH+rYst6OOE19i4IjY9srFxpTu6YK30R/DY8WX9mhXxAOmIXn7RjHbtlBeuITYOsDIef2Sxp2UsTQ6grcaGbiym4HZtMBKfoVQ0XDdokJ1FV6Ko0iiMFSfAt8aGytX7Os58LJtqbCT9EP+OlJ/v2iQDmx9++g4ASMUD+tKB06hoBLFxKapFozWT1Fw41bg0NIMMxCa9p8vSMXp0sSfmi9LHxqfGhooHONA7qMngUK+xyQziDOwBIWXMnCCdiobHqupxvWF+PZSkoumOc5aZxAN8qWg0M+9EfxvJ9Y3vw6KPjSW5R/cFWWOTH5DFcaz1saECNkUEaLwRG+GwSxo2gBrYUMGZLhlDeZQonkXXzt1I6lYQFaBr6BJFbIZqAqTDRI3o+ancMx2fiACptH6H5COnojkE99iOoj8KFQQxSNcp16aXVLmRWl7ylO+ZLvVeYRSLZDstReAMI5vRevTpTpNQ0VwRG/mci6iicSVRk3iAT6LvnA5saF+N/jAi/FtZ+0EdHXQKnpEGNlwTfqA4NaTGhk7gkapsxbusU+h1fRgq6AvPiCkNOslCSTMXJkfPpormDm/rgyyP+vOy3/wHePMffEs5f7vl3qBTOD7tppUT2Vci/gHc8f2T8JxfuxV+74uPkQwUzVA4IjaGGhuKlonAxvD8aMEcgJujwc9L/88nn8nRowsPPacmHmBBbNTshh9i023pCw9+39MvTopKKY0BjQYJ1MGSgU3y+w9+5fvwnF+7Fb7y6AkAUHm7AJArOwwgEZAji+tOgU2e3HOz0dAoIovrQ3jJu/4Bfvp/J2OeF78mx8kC86yxuMxU0SglzCdrBaA2GC6K2OB4x2TDdLtpoKKFyv/xWIrYvCrl4J9ZGypUNI6QqHVl5REbpxobisY1ZY8n9fuT/2Ngc3JlAOtDgzCEV2Ajz2FaT7LMpIrmQo1RnH1Gs+LovkZFIwkjnIMr/RG8+j23w0/83tczC6Ajw3l9a2x8FZJU5N4d7aFyzRTxp53nbWs6XRvReXVpAkkVEEWNDWnEaEqkcdMRG3V9t8s9W5JjUQRLvSE8dlwiv+sDSX+n15dXu+tCRQOQ45muoTShh071gAjJ4LvlDjdt0tlTEiZpYOPQjJTagF2rL2IzYs8ZAITkc149YVFxFN5D0WWN+Jk/vBNefPMXYXFtKFGqBhUPyKairaXrIiZA8qloDLEx1dh4sBVUAS/SYF1BbNy/79wObJSsQ6Q2DDNE3ugUPHPPJvEzurjYZBR5J2eaWQgCPdrGH631R8qiSAcsXVD5xkBrJ0zSplZVNGfxgEic1wXG+/7xFTi9OoD7Dy4qz4NS2fIGqeAad1rWYIpPjG/vOw1xDHDfwQVFGlH0DnGtsWFUtKSPjQweBD0gA7HByejzrE2N8/hxmdLWjEZge17dVlNxJk10qzxTimtJ4DgKI8Glf/FVFwGAuZ8NzVy1mw34p8/bAz/6jIvhim2z4roAAO47uAhxDPDA4UXtHug9ZwWOODcX1oZwYlltBmakoo0sGzAJlvl73XdyFRbXh3Dnk2cgjmNjkzpKe/CiopVAbGidYNEaG8weo89KqWiCloNNhFlwe9WOOXj51dvhn193KVy9Mwl0F9YGSn0IBhKI1NDMqk+NjVCta/pt/ACEikYRGwsVbftcR6zZp9JsLG2O60VFU1TR3BGb/iiUVA8iHtBu6PsYN1NDX6FoiEkoDGzaKlWaUnHwM48cXYZDC+vwyLHlzEaSSmDjoN6GpgQZnj3JcJ1pkD2TylvbjDbKpjVbo0gWItueMRa6z0/pog6ZSmqkhpf2sUE/lquymiwPscmTe8a9Euk/YRjDvfsXgA7p3ijURFwAHOojFVEWsqaxZKCUfDYjNjhPTMpZ1OHGZ4iojSpKMkjvN4CmRw0uXgc2pc6jRsZxLNaIPqmxock8VyoarRumlseC4YltF4TquwcXYKk3gidPrTLxAJnQy9rDeK2YpGDLz5jeh+maC9XYKPRtFbFp5wTgJjvHA5sF8e/+KFRUjnjWOY5j4RT84K55sZHRhZtC0asKFY1Gi5EG71MLgoBsHgSxaatqHVxNQ6GiUVqQYaJx3rR/g06S9XLgcGOGQm4AMlDI61iOplLy9GxXHKtO/5m1gVBAWemPGCJQLMtnogF0mlLq15RBo31skr/dqWgjFqAMw8gQ2GRLW9Nz6zU2MsOF98ARRXcqmp7RBFDVUl581TYAMAc2IVukb3nTtfAHb32hyADinMFrWx+Eijqd4AvnUNESSF1e0/dPrCi/9xMPoIgNop7Jd2MwMhhFsNwfaQ3m8F5dlLOoeMAojJVx619jQ6honlQnvN8Z0tkeAGC6Q+exGsjg+xKoZ7MBf/zvrof3/Mvniszk6dWBGCcz3aYWSLhInJvMWmPjoBTmIh6AY7bTlI0EMcvabEjln3H0saGdv2c7OhUts0GnJUEGoK7VAMn7AZCOCi0yx888clRSTZf79qyzVN7yQ2yo3LNv9jYirAyqlpcnwiESjCSYotcCYF9zcMwixSg5f/4+gN9Ng8YgCMRYy1PNAtADviQQk8/KLves7j1t4kfw9Xt9QMQDiE8jUWzzOmNbV22IDR3jNLCRiI0MrvBYrP0IAon+HxaBjeov4Dld634BAE6kvs22uUQUJQ+JW+qNlHXNFJxscWzSSRMD1PICyj4PbBySyz2RZJJBARd3yKKjSapx8nm8ZCsVjdVSmvrY+CSMVKVX6r/lN9c22Tkb2AxGEdx/aFH8P6lpSQdZAErWOY5jOLbUh/VhCM1GAJdfNCPUTRQVGzKY1xS5Z4LYkOJsU2ADoML9iiRvWvQ6HKkFxLTWJSQZJNrU04WK5iweILJ0tEYmstIOMEMRphl8RfTAUVVN4VUbNmt+7QtrA6GAsjYIiRPqVzRKP0f72AxNiI2JisZoYZyyk2U4HikFbkCyxHif2vWywNXWaZ1uBLQpYjkqWlNZaHskiHjR3gSxecLQqDO0LNI8EOyTwIYu3ELuOUfMglMv8rrJA6iZL5Pcc8vg/NK6mBPLfU2+MjnODVbXERs1UeJqi2tDOEXk6n0QmziWyRTe5XrKQJPFtVDSZnX0BB295d5IZIBN4gFZFIUs43QaNB/EptmQY4o7aJTOMJ+u2cJBosIQBcUDEPF0Mcxmd0myCK8NIKeeiBTxc2qXporG2hFQJxQTZIdIgbathgNA1jE16HmdFMrIXuCZvVXUr8i4yDsekwBTRMQHQEVNbEkgHLMYyAO40aExGcLn23yKDthoZNT4NYVRrIyFlf7IuG/bxQMiTdmyNww1EReAfL9CqbEh6zWv+eI1NnEcK+IBosaGUKwQOVkl82L3loQGezRt0qnU7mGNjad4APo2uB/nHYtJXgCkoqmJTwCJ2OQlcWhCgpovFS0vkIvjWCjP9YYhULSDM4xshmMZEyOY9KFjjyemqdF1yEdoBI374HTt7gof2X2dPmcDm4ePLMJgFAmnFIB2F24oTQJHUQxPpGpCl180A23izCpUNPJiVgdyweDyuRLeVwckGlVGo31saM8XOnG4trfoKN8iRXQGKpouHuA2UOigoPdg2xxOkMk8YDCgq6pajzwHMRHJxOUO6pm1oVjAqJyjoopWWO5ZfYaZ4gHMufJ51uK86fcnYyc5x8XzySJtlrZWFzxbsR3N3NjEA1xRLdmnQVU1QwcoCAB2zHVh7/aEWnYP2xxtfGHOf8X7Xx+aA5s8MYusDHJyXDZiQzdpijLxGhvKAd9v6RfTaEhJ4GzxACb3HPm/HwCAfadUuXof6J2OHY7YdNtNjZKK641sJmzITE636ddAECRUBV78WlQ8QCDwjO7r0rcAUZYgCKzd3imldi6lGaGD1KTv1gex4UqbjoENVZWjJsVj7N+jSt2qa4WmioZ9K5CKRjL7vHUBQLbzHZHg0cdZoQX1/qpochwqPb5yjpfBlNyHAdRaWtt8OmNAbFyCa7xPPt8EYuMQ2OT1sYliMCZddPEA9CNiuCdFbLDtQm+k0uvR8orYbYjNkDnsnIrWG6p0aYHYkIQxjlcZ8Ddh9+ZEYfPwgomKJmtsbDWpJsNAZUeK2OQF2ieXaWATkvkjn5srYmPfM7OTp5IFhD2VsmmRSdI6+XdvGBL6XKAxjKjdd2BB9ErD3+FYNqmBZokHYHKR1uf4NYVXE5Im8YDzIrC5L633eMEVF4mf4cNvNtTM4iiUNDR0zJAraIOio1j+TsmwjiINCuQmNw9VPIDW/VCnnjrrSVbfHAzx68RFiNKQXEwMbCbNaxsYSpZiGCkTw1VVrU/oB7j5RjHZgA0ULaSirfZHyobmw+cGkPfbJYgN5ZZL9C4DsdHEA/LPLXsf4EIrN5CLNyULaba0dbazPyBjSxUP8EcE+gZ6CIB0uLCe7NrLtgCATkejqnXUuNgCRWxwY2oEulCCjcZj45TjgmvKkNsQLPynqY8Ndej2nzIHNq41NpQuMiKFj/za8oxKPQP4BTYjJbBRnedpMidlA2KG2Bi45K1mQ6k7mO20IGA1LXEcK0i4H2Kjo0T0GrKSKXi7zSCwFkHTdQyz6Ivp9SmUCS8qmnoO1w7zSLmZZYENpwiajD4n7jRwdF9DbMSxDeN+ZptvAGodk0+A0jfQXov0saHJy7x6CkmFbqYKVsnPKcU0j4pGERs3+o9al4CGQTTvwWWyvBqb5HtMyposOYb1U8eWYbk3gul2E55z6ebkOgeh0qATzbUHWXKd+r8xgTnHqGi0hw2AfE50PxMS0QOC2KTCJceWdCraAkFabQwHk6Fvsx0Dm5z5piDmjNaF5orY0PlDzfW5C/GAHJUx6tf0iH/ABUWoat2J5T684QN3wNs+8m0AoIFN8lmTKtpAqaU0yz1viCoaSa53mn6BLNq5G9gcWAAAgOv30sBG9pdQszmREA7AwEZm6VWIixpuNnTS9tlDNZmK2GB0TQvtVeczuV65MSiIjaEBppWK5qyKJicjnZA2OhnKGwIgR1Nuhq4NK2VxekNBiThFCe3gmXXBQV7rh0oGyp++oD6vpIhfTm5czHujUIP1aWEufh4gmxoiz6siNkmmIfnZTkRsDI7ekKFENjlHigbSBp0qKuH2jNTiWkJFY6pl116xFQDcERuN4pSOba4YiDZHaJwmioUtg4ybiWkc2tR7VMSGU9HkeZ5MkRKeeW06BjZcOp5mtb0CmxMMsfE4ljpIGhXNUPfGa234mETbQpw97DJOHeRBGCkoRpEGnXqwnF9jQx27Lgu00Og6NseoaM1Gg1DRnC9ZD2wc12Sk3PAx5iI/S2td2mw8cnRfD2xkgscU2GRT0eR5faSXjTU2rogNqbFpkADFhwoNIGtOVCqaLbBBKhpBbBzo0PiM+XzzQ2xUX2MURVpSzfQ9nGmAfz+Q0vefc+lmkZTojehaTAKbPFU0xScxzysAOeZwHVzqZQc2HSK0hPNiqt0Uz211oIoNAJBEhqd/cFLU2KhUNBvyaKOiKapos4jYOPaxsSRurP2DtBqbPIRHlaCXwZj6fuhcOLbUgzCK4cCZhDWDQQ9+Nk8VjQd1dB3ynfMADFwgycG2JSGTZ+d8YPP8K7aKyYgLSdLHhlDRDIjNlAGx0QMbVfc7+XekRJ8mo5uHids7DFXEIAi4KhrJxBsG7YBF3L5yz0pg0lCfk8lOUSraiClSOBRRAtAGkE313aSDm1M4Hj6yJP69OhgZ+9i4OoW4gHCHCyCVe25JlSjuGNOsLv0OF6cSs4i0Rwpey84UsTEtfngcFsc6UdEoYlNCPKDbVpuC4pzCe7ju8i0AoDfqpMId1LgYAD43GtjQ94KbVxjFRgTNtIk3G4HsjWTYkNRNl2YWdee3bwhsELHZNNVWgnLXOgxN7tlS85NntIcNgCcVjZxHFw/QqWiit0d6nKlXCoDq7CHaQBM+vGFsngQqNZPTQK/BSRWN1E/FsbqZUudPUNHWCFc/PW0ZKlpeLxg0qipHzUV1kj6nJkN39RoblYpGEWnTfmYrTgcgzqSSJc9/Vj2K3nvy7WkQl1y3mxNL1UkBpDO45lFjo4gHOCT01hl9B21+SqVmZZnGNvBGbBrp36ozed0VW8W+tz4wr8U+NTaqKIuaDJxjcs9LFsSGXgNv6tltyWaS+FxN1PF2QxdCybKTy1hjw8QDXKhohNZF6+JEH5ucZsR5LIe8GhvXnkp9hthwRI0yjMTnSLDZH4XaWEY1YHqJTjU2rYZTMpCbrY8NlXv2sXM2sDm61IdGAPDcy7bIICV9+AhH0mwOBjZXicAmzdJb5J4B5IKhqnfpzh43JbAhiA0dsJybSSkEdOCaVHG0GhsHAQBqojg9dczyAgU1SxEqQZmLqhoAbQCpqm6NmMOL9r0jUpkniuW7aBl45FlGZbUpMoDvnSI2ALIWCG3INgifLrccsaEZkR1po0OTo0cboALYMzKKeIC1xsbNYaDOBgBoGwuOtR/cOQ8znabWqJNmUqlxxwwdvTVCRaPzaKbTFPPWVE+DKB5F7+e6rcxxaKs5oigTRz2pQ/dUyjOe7TaV7Kupbwi3wUhtMMfFA1DcxMVwDbtoNtk4fVS36Djg1Jgk6aI6AzgfOYLDC12pszfbMQc2vMbGNVDgdBo0lzkoVNECFYlQJWplsDYvVNGkbGxZ8QAAM73VZJiF1qhoDkkc6sTyJEguFY0keLypaCSZ4VdjI9ET3+wtrx1x5euLGk+2vik1Nh5UNI5Em0zUEtkCG48aG9yjRkw8AMAcfPKkAK8Hvu7yraK3Tm8YGdFzWrtgmrO2fYYrss0ypIUjNlqNTVPW4QoqWpuK/KSBkGFu+fZUOrWqUtEEc8Yynk6sqOIt5j42flQ0XqrtTEVDJdEcJTdFIGsYSraKtiaMyDHyu1Z6I52Kli4VtLZUQWxWzVS0TkHEhrMuVLnnwHaY1c7ZwAYA4Ad3bVIawuGLwQ0JHcP+MBIFwHt3pDU2YlKTjE368HGMch4yGmYe8mpslnpDpXCddjzm3ExTHxuqkONCRQNwQxKshYXWwEalolEal4uqGoCK2FBHBR0mvkhx6UFcDOnC5ZKRoa+OOtB9GtgQZRCeBeIKZaa+Qjbjqmj0nnbOJwvpw0eW4Ma/+S589v4j8pxMQtK2UFP6gK3GxrZArw9C+N0vPiaQMUlFSxfL9JzYsJBKSz730i0AoDbqDC2OL4fV8bn1iHgADSwVOVTDxo/OAEp/AqSBTQZyaJUlJQ4hFw9YNogHzHVbSmDTauaLB/DGZyOC1vLryDIqV/9Du+YBoJh4QNPgwE53dFU0ibDF6XWr6xXaVgMVrdGQoiR9FthFsRsFB4C8n8A8pjLrTgRiowdaaHQNnmfiAS0iHlCqxiYDsRmGEbz/S4/DPfvPkOacqhMsEM+MgIE2L+ZOA0f3p601NoExUeckHmBQY8syWnviQ2EDoDLeuE65Jbn6RDwAQD4PXmNj2sNM4gEuAjaYyNJqbDzknqX/kHxHZEJsTFQ0th5zVODay7dIxIasxSbEBsDsV9CfKag4qxHlTSD1Gpvke2izZqmKJtU6p1mC0DS3aG1c3lgMoxhOpzUz2+c76TXr4/GBQ4vwO7c9Cv1RqFPRDLWHuCauMuVP0/kB9HeT1XAyjKS6JX4u736VGpthqAVjPNkBoPoqK6TdgaCiGfY9+j6W+yPjvttu+SVB5PFqYp/2JgwCf9TmnA5skBaDjhFmBPCh4ybx5UdPwCiKYbrdFLUNWXLPuIBJKpr6AjCLkEdFo9n4LpNUlTKBfHBGqsNqyAzRHiz4OTQntS7GscyaSKMwUmBF3m3XRVUNgCI2TQgC2ovGjNhwWyQOh8/EoE5k16Cg10qpgIKKxAKsEVuk8/ivpmOnDKojV6bI4anVAfzZtw/AL/75vWLT5vUqNmidFlvSOoKBxZGn9sXvHYP33vYovOfWRwGAUtHMGU26cDw3FRCgdEE7bYjV2CjiATKLQ21ThhwqFtxeffG8+Nn8VCuTQqAWHsrf0waQ6PDgpqkomaXXOdNpKU4KpUXaxj534uncN12TzRbWhuJdPP3ipDGmT42NRB519SvePBiAUtFS5MaFikZECSiCOGAOiGudTZieu8mCqXYrO7kQx7FQAWoGCcKLw3JgCGzbjQbMdZMxh8+41TR3184z3NxxnGShat/4/in4rc8/Ar/66QfFeJtlwg6C6pshlEDFRvQ+Niq6j9+/LhAbSaUxqqK5IDaBOyWMnnu6Q5oteyI2OCSaGfOemlB9ZI2AqQMXx+brWDDJPTso80nERn2nONZ8VNEoYqPV2BipaKrzShMSV2ybge1zXZjuSNaKCT3v5gQ2eX1scE3WqWjq9a4zKprax0aKB+DehOibaW41Gw2C3mevj6dXBxDFCfp/0Ywa2NBEwm/f+gj8zy8+Bp+697BCy49jee00oYf7F4AexFHL2zONwSS5Z4nYZKNMNOBIFOmyUdzkcyRIMSA2XBWN9yEEUP1fWr5RqMaGIYK0lIDei6ud44HNVgCQ2QxcMHGxe/1z9gAAwHtvfQQAEmcSXwinr9EXIyNuVRITbSUXsUm++zRR0OgwhbNhaF54aHf6jsHhoP/mVDQAPxniNju3aSE4vTZQuhRTiUN6fcl12QcqbdAJIAMF3LD7QqrbDCsuERnWluNmltyT/Ey3KZ1S0dySKcvxLBDPVAt4PkfeGoBsSgxR7LQa8AM75+H3/vW1cMOPXp2eNxLjjRdf2hEbmeHqKoiN7rxxw0UH4XIReBJkBkDOD/qet81i/xK5cPEGnWhcwQrf8xrJZlH6A4DcCE1OFToDe7ZMiXk2P5WN2FBHwOTYNoIANqXSpwvryfMwBVWz3ZYiL++iisbpdIMw0uaZS4CyTrKZSO1wVdwCkIgapxxNpTVVXDJTqqFhYGN+v6p4AAlsSKCNDgge6xzYpI/Ut8aGvosm2/hsiM3clE4B86WiJfUPyWc3Tee/I6TBPH58hSA2LLBpqQkgk9FaMQ2xsVDRxN5G+PZ0H9k0lY8qRKSOyUcVDdH3TVNtEaD4NlsWipEORfwAag0hgBxDlB4MYN7DcLxunaXiAfn3K7u1q37CnE+NDUNsjDU2RvEAFbGhcwj9JprcNVLRyHgwjWO1aaK+ruIeMstUt0w1NkOyTtBEFa573VbDgNjo15QkPt2CZURfts505F5rQBCx181dT55R2CsAMvCiCV5a15eF2EbsHaF1MlRu6fcJFoUhGKNGEZukzx1H1NS6OwA14E8Cm2zEZhTFSs0dgErFozRDX5SWlhMk54o0H9iXjnZuBzZXYGCjOo740P/ty66EIJDFf1hfA0BU0UZqRhJAZiEFYsMGjKCiWRAbzNDgi0V4lPak4RCmoopGFhlTtp4X+lGOs4uTxB3nLBQCi+vQaDFwq6F2cc6iS0jHOVWlYY09ccKinjw3tVA1O0NBjb5XitjgM8TrlzVXNsQGqWj5mTpxLCv85OjHP3nuHviFV18tvhs3Oh2xMW/eJipanwU2oaWGAzd6RDl5jQ2eW1wzcYaRtkMzjrYu8bznCI4dupnyBMGc4fvR8GfzUy0h/5lbY6PUVajPBu9V8qKTtcLkdMx1mwyxyXd+udPB5Z75NdmMFj/Lmjq3wnQANTDpkDnL37ekosXK31QinppJPABADSTwnePcdhUQsAXLeTU29F3g+zE16aRoxTwLKIr0saHfjVnbLMcGx8baIBQ0Q05FkwG7/RoiMo45ms3Rfdo8mn4vpyg+J6WbZqqikTXZB7FBx3bTdNsbsbE2nsyt8ZRUaHrcal99P3wPjKJYZN23KHLP2fRtek5ORZM1NvnzgNOZR4bAxvSOuOJWUwlstiTXRej4JioapfiYERtCDyKJPt7zCsc0PmsMbGmdM10nZ7stjZ7VbTU1JVvT3KJKr3nBMm/OCUAK8cm94V5w9/4zChUNgCC8/HpzFOXo9enJQPvYwu+jKCkm8m2S5xR96Q0jDVEzITZ9jYqmigfguoouCb1PXOep4uuQJMN9/DcA/T0Ow1iMN1M5houds4HN1pk2XLkt4dlzxxEHylU75uDVP7RTHLNXCWzUjA19MUhFW0G5Z/YCcILaHiZ22sUXK515XJwInQsXHsLnVhEbExVNp4XkNdOipteN2Acan8gJr1Reu4uqGoCEjznHmfdbQLUwmyX9C9w3Ueo00kAUJzsuSLYmnVz1xEcVDd8xRwf55jHHikn1+ivz+7H2sRnpCwE3vM/1NBkgG3TmBzZzhmyubNZnzq4jUoHvzCYeAEDlUPWNHzeZuW5bNGybm2pnatnb5J7pxoIOOmZnTc7CbLcl6BAAqiNpi+l5gDQMIy1AdatLkO/HV94dQFU1o+sGOl08YMegE2vnaFNfagpiQ4qk8RpX+yOB+GYpAZosXxXN/Nzo48V1tWughlG0Yt6A2DRzglZuNKuN35dFRaPz54HDiwBgQGwcHGiqSMgdfU3uuS2zwXQ+ctnUZ6c9TrKcb0pF86GXYPPbTVNtgrgUC2xcs/N9JvcsVNGG+vxUr3UoArgt07oqmlONDaOizXvIPfPm0hSxwblr6ofDxYnonL8WmS5EGda2FmetNUqNjYnimT5jpD/yGpudqYBObxiJdRIbRPMM/FRbIjZCRS1HPCAvYcR72ACYEUB8T48dX9GaWApRI3a9Ln4CpwvyY01zniYDUZksDz3sKVS0UPMf82tshjoVjfWxoescX+dpXVDSx8YPseFzbBhGWvuB8yawec6lm8WLxcABJw5tePTvX75X/JsGNtOMr0kn7kWpDvmaQRUNgFDRcmpszqRUNE7vGZCsrYi6LeIBpuwkZqDb5GX6ODu8uC+rySYPbGhxeqfZcFJVAzAgApbai7mpliKPuZ0hOK0G5Wjm3yvdfBuNQHDt0VHspFQPW5NOLo3Itf3f+Yn74V2fezjz3BoVrWlx5G2IjeV+FbnnpnRY+HswPSdcuHDBok3zAGQWaN1wzYIqRhEbtpGiUceMLvLrw1BsTF1eXJtB1VixITYZcLyNC05lSWm36DiOjUHVbJfX2ARirbGNRe68DIgzabomm9HEgE8SA40GcSoVTe09w6loeCxVQqRmQ2xwTab3j46Ma5NOV0EK7TgSiDQt8xZARa41KlpTvlvXUiaBAjcCSRd0QGwAAA6cTvpFcLnnPP58cn3yvNzR56goVehaU3payNqrViOAZ+zelFyjCxVN6WOT/bDiOBaIzebpNsk2uz1kjWLlmJ3nVGhTHxsAfS7iWJ3rtpR503bY89ZyG3Q61NiQTDdAss5goT6qI2bJPXP/YrrdFOIj0wQBMSE29P+mtca2rkqavY2KlvyN9c7rg5Ag8W3letESxEYiPAC6gime0zXIlj1spI9hOpYHjt1Wg/Rbk2qt/DMA8rn97XcPw1v/97eFTwgg1xWtRUIG2sObcwLko4dc7pknTqcNVDRdFY33sUl+F4l1BhPFgRiXx5Z68LN//B34sVu+Ir6Lyj27JjP4Ok9ZD6ZyDBc7ZwMbLGAGkBSj9aF8uGjX770IXrT3Img1AkFdAyAZegHJS4hPFC9jzQN7Aa6qaBixiqZgpJaFU9Eo71ClouGgldeAL7pLXqZPLxteNyInkhtiY1N0y1rkueoW116n6AN1lp62Y5Z+jVL87FRjw4I4nFS9kYrYdJmUJJqNtjcMIzi50oc//dZ++P3bn9A2SHpufP94ucibR8PFHBd3qtaVnFsfAwBM7hnfPwsgTMcByIULA5seef4AcuNfzaCi0Q01X5o31jJsSEnQxQPscqhYszI/1RKds6++eC7TARwYUBp+zcifH4wiWBuExuTFbCerxkY7bXq9LlQ0F8RGUml8UEN+jlZDFQ/gCF0YxZry0iiMSZBhp6JRpxyfG60xungTUtH8EBstsGlJSq/JaODYEMkv3VmgqDkPKBIHKfm3TfGOG+1uL2r2MmpsTA7pTEcPsACyVSdNNTa4Z3EHoEsci/VBqKyPl22dhlYjgOdetkXUmbo06Gw2ApGVz6MZrpFzbppugS9iE1kc9rzsPKdCm/rYAOi1k1IRra38XFDEM667JxAbGyJdrsbmIlHrmF9jgyqSP/ID28W1TxG/ydSgEyC7SadNlEVm55GKhoiNSkXD9aA3kustolmc8toliM36MGnebJpbNEDPG1MnBGJjR+KGYaQlO7fPdcVzwntqsT2MB4R/9I2n4PZHT8CXHjkuPmNFbEgCnJsMQGWwnJf80BEbFcWdzUFslnoGKhpDbKgvgnvCH97xJHz+wWPw2PEVAAC4eL6bKCEyumye8bk9jCItuW8T8rJZqcDmXe96FwRBADfccIP4WRzHcNNNN8GePXtgenoaXvnKV8KDDz7o/d0/ds0u8W/MtuMiTiPgIAjgI297Idz+jn+kIjYdNUNPM1szTMXDitjkiAegdGiXPfxRGEsojevx+4gHEAfZK7CJ1M0uqwDzFCuWS4rP1ImRpaomjmOIja6WJVEq3EQ2TbXg4jTLi0adSacaG032MvkbfQS8hzzERtTYEEUmGszwABBALvBTbfNmgTbPEBAeeNobdMqgQ5V75hmOLMRmlG4SDLFB5weL1sk1y0BMOjF2vrC8di7hjU5QlxfXZogH4DOa67bgLddfAV/4L6+At730ysysFa854upzzSCAWSJ5fGRxXQShl2+TstKzWo2NhNVtzi8PzoYG8QAX5JH2w8rrCG4yWmPTVhCbdG0iPxtGkfLdAwP0j0YdvhlSH4LjEZ2uTrMBF836UdHwmXIUMK/GhtbEaOIBBmesZaCiKfVTzjU2cnPvsuyyyUwO6RyrsaHzznYdNMDgyAl3AIIgEHS01f5IWWsu3jQFX/5vr4Q//LcvdHK+Q4LYXLk9mSdPnlzNlP1Hp7bVCGCa9LHxVUXDd+PcoFMTr5HBHTWeLJA9bDrKz/N6hwDYVdFw/XRCbDCwoX1s0nNuzQhseJPMZ+zeBLf/t1fCLf/qWvEZodxnEQ8AoPNGH8emZCv9eVMgNlKwIo5jGdgoiE2KjE1hnxQdAemSBOEwjI2+juofZK+PvDknHg8gn7spubZ9rqNQbQF0JJsHNri/Uj/BnrhJ1zcTYmMIQH3knhNVWzXwFFS0vhoAoa30R+J3GhWNIcPddlOUcjxxIqkb/NkfuQo+9h+uh7+/4UeU5ItrXo77lXEsfR9ETm09JW1WOLC588474YMf/CA85znPUX7+7ne/G9773vfC+973Prjzzjth165d8JrXvAaWl5ct32S2yy+SQQp3jPhAme224JIt08rP8EEIKhqB+HBzwZdp62NjixIxaML1natXDEK9Qafax4Zk4g2bOJXOQ/NxdrgiWxan84SBisYnhou8Im3QSa+dU9E6JOLfvXla2+gVDq2H3DOvZULDe7A5IrLGRqW0DMNIyXCYAhuebUPrcBUwgYAMleO4eAB9P0lWXVLd5PsPdUTAsODhfUZx8ux1qqBK1VBqbEjggU4Mpz6gUYeZ93RBrnWXzSOUQ10yIjYysGk0Anj6xXOpeIY9S8fHNTrpdGMJgkAsyEgLagQAl22V68Ys72NDnF/b2Oc0hoQfzJG3fKeuTxAbiS66Bzb0/dDnjc6NooA0UiWpad8ATe551oLY8MCm1RAogCsVLS9YttbYUPGAQL0eoyoakXtGK9LHpk+UBbsOiSZbHZdyHeR52xwXoyoaa7RK3zkGoGsKYpMcd+nWGZifahtRWW6CShMEcNlFM9AIEoSX7xnUkIa0aboNQRB4IzY8y+2qxmZb3yj9BkDfP7F7PEdsXCiCUhXNIh5A1k+b8RqbOJZj6qIZe4DEUX8AgCu2zSpUxCmCgORR0Uzj2DSXknOrey6ieSiPLGtsuuK7V8i6To9Fo31s8JrN4gEN595GqEq4w0hFS+7B9GwpYmMTD6AMCrxHALUnoE0VLVPuOdTfU54/pIoH6DU2goo2tAQ2vZGoRZsWVDQ1QUwbcFJZ9PluC/7PVz0dXvq07QJh9EVsTH4pPneRXB9HYLOysgJvectb4EMf+hBs3SrpX3Ecwy233ALvfOc74Q1veANcc8018NGPfhTW1tbgYx/7WJFTAYAerXHn1WT4gtYZFa3TaoiodEUgNjywyREPYJsTZhrQyRtFujKF2sdGfr9pEzfxLIVEoJKRjGC5N4Tl3lBZQHlBfFbDS5yIOPdoUypemMiPp5lTrkrDIV8azG1OJ8buLVNGaoY41ouKltyAjc86xWqu9OPVCTQIIwWB4DKQABmIjbVYntXYCMU83cGi77nbVulJPNNjWhjowrVGesrwPg+mIB4DMZo1s1HRaCaL07IwG6ohNg41NrwmIiuDqj8PFoylx+KCTBty7piXmx4PbJpKg07ttMr1ysAz1tRrXAJ0RTyA1FO5GpVgpUgvp6IBmOsOeFNfNIp00R4sXRbYUIqCKxXNGiw71tgEAYg6TFPihyZoTIiN6GPjSEWj3e15w1eTmYq++XpH54/1fslzsvaxIe8cz7E+DK0BK0UVbM43/rzZCKDbasKlWxPUZl+aqTUZZus3T2MthZsTisbXmXZTXxtNJtY3hthoVDStxsaM2GTV9OG1CMTG0qDThGJzw/WMJsdwfmJSwYQq2OYONaoyZhUPKEBF4wqKM52maIC90h/JGptNphqbNLDRVNESQQHhhxCUiVqrEYi6rSyaIAARD5gnMt7ML8Hrumi2I5CNJLBB4QZzjY1QYUzXbXx+J5fzEZtuRqKZBhC2a+ZGn1Of1tUhoiZ8YUuNTX8kxhxtwgxAERtc+xpKEuBNL7pMrCVoPtLwAFTZUd4zzpuxUtF+7ud+Dn78x38cfvRHf1T5+b59++Do0aPw2te+Vvys2+3CK17xCrjjjjuM39Xv92FpaUn5w41nxG29UKgJ6tFIHXgJYqMWu3HHI088gC9kgopGerdoBfxkgTc1qjJT0Whgoy5Ax5d7cP3NX4Rn33QrPPumW+E//NF3xGd5QXyWhDFOxF3pIkTlW6WGuH78fQcW4Nk3fR4+/LV9AEA3FlZvJOSe5QKODubuzVN6BrOR3zuEGg/i+NjA52tt0MkCUFqPRLN9ZsTGAu8z55DLJ1OKDIBZ9YReZ6epFpSbiu240YVrbTDS+jyIWqShHsRTB9YmUY1GudIcsZFUTXc5VHxGm6Y4590enHOuMr5T3vlZIjZr6XW0FZrCXLepBjaBQx+b9Hq3poIkVBERLYvCidYjVEEf2ikafT8mVbQEtUp+xt8THSv8/VKkS6GiYY1NT9JxhUDDqiNiY6AWA+QrheHjpQmuTCpas6E4X/gzTrfIMzNikyEeYJQUNzfopNfLTQikNOx9bEzvfLU/0rLr/DrCKNboueK8IrBJ/o9Ub5SuNtniGvawQQfWD7HhzqBrIbKUS1dVAHlgwceUqTknAKmxYZ//4sPH4Nk3fR4+de8hcU4qhoP/F45+Tp0NR2zovWzLEA+wOc3UaI2NieIEIPcDH/EAfu4gkDVYK72RWBNMNTaInGqITdpvi9bZ5Kmi5faxSalo22bt4gF4XVum26Kmc/u8pKIJ8YAcVTRcqymamZe4yaKiKYhNem7bWtNXkBg9qY5J/lULFW25NxS/m2mnVEGuioZiTM2G2A+ajQDe+tIrtevx7WOD70IRPhGtM1TWkat5BzYf//jH4a677oJ3vetd2u+OHj0KAAA7d+5Ufr5z507xO27vete7YPPmzeLPZZddpn1GQ2wcAhtRY8PknmkDPHyZ3PFYJY0WTaYhNiKqlFkeXkdBJxTlKxprbFDDm2xWXDf93v0LcIoocNz+6Al5PHJgHeSeEa69JKXkJA06ubOvQ6FfeuQ4rA5C+PrjJwFAb5DGUSL6/F/5AxfD5uk2vOqHdhqoaA2Snc+fGDaFMbQ8xIb2eQBQqWh08p8y1diE+qaE90iNIxS8GaKgHpHz9VPOcxAkz9/WoJN+HzWalV8bhBIRYH2GcAHhnF6ujGZr4Eh7LPFNHJ0G/jzmLTU2I4KSmYq9bfeqUdGwNwsbG+i8HDiDgU1LCWxmOroqWn6DzjSwSRf7YRhp64lLHxsa+BeRe8ZnkPSxIetGOraCQAY8PItNxwovkgUA+LFn7YJLtkzDs3ZvFj8zUdEwYOX0H5sVkUMFILUf5LiOIXFBKblBoAoI0ASKr3gArbHJEg8wU9HU9Y4qOdrul45jXo9nQvfxHOsD2qxPfcbU+TYpBNJzICrmEtiI5pwCsfGjpehyz9lUUIAEWeJUaDyej3WeFJLiAbYaG3VsfPWxk7A2COG2h46J755iiU461rIaoALoNTYAMhhDxGbJ8H5cEBsqn2ytsUHkwRjYmBkE3D8AkMHd8eW+QLexxqY3lDU28yzgRcNnSOlzON9o4NhuqoFNFtqIvs12gspzBJBe1z+/7lLYNNWCH376DgfxABVVx+dHa5Z5Yk1egx2RNiFrT9sxBwAAd3z/lEgcUKN+Cm3QKcQDuhLBRVPEA9ZH4v+YvNJU0UI5v67fexHs3jwF//7lewWKS81XFQ3XPXrP64wCeFZV0Q4cOAC/8Au/AH/6p38KU1NT1s8FjCoWx7H2M7Qbb7wRFhcXxZ8DBw5on+FUFp7hM5mQDmQ1Nu1mQ0BzNvGAvAadPEPTZfQrE2cdJ2Mcq+iRqTDfxLMUmZXU4cWg5vmpEtwwlKIEYuHRVLfU+4yiWEzEPWmNUn8YaRNDyFiTWgHc3NA5FTQNKxVNTtgffeZOuPdXXgOveeZOnYqmZCXzN8Mhc7gbWo0NBjbpeGCOCNVfB5AoWSIeID9roqJxVTS0XPEAVsM0bVAtoRkS2jl+bRBK9bUMFIMGcGuDUCuu5Rs/L4600edMSQV8dnwTX2LiGuK7LQ06aUbJhOQBmINdPbBRERscE1tZjc1ct6VsenPdDFW0HPGAi4TqWqwFQW59bGRiIKtpns0UxIY8bxqo4fdyxGad9PowOUr/459eA1/77/9IUEgB5NqE87/bkhQ6V6QpjM1jSmY0zc9NcNfJXBcIiiGzjN9Hm3S6BK3cqHPoREVLx8ZVRPlxlq139PqsgRxxkLjTYEL3pbxrSMaFOgddnG8c8vic8T6eyAps1tXAxrvGJpbjGMDNSaLvgDMG1ti98bXShtjY6NeI3O87uUr62KjrPwBRXnVGbNT6EgCAi2YkYsMdeC6aY7IpU2BjoU3n9bGh6y5XEgWQ+8WRxXXxvYjg9oaRWOtljQ1DjlpqAnKlNxL73DaiapYIuhCU0zIultZH4jq3zdLjVV9IIElTLXjjCy6D+371tfCSp22T4gFpkqbNnjOn8KF/YxYPUK8t65mbmlpfv/ci+KFd87A2COHP7tyvHUN9mt7QIPfcVv3d5HNyr6UoE/q2gaBgq4hNt9WEizdNwTdufDXc+LpnaNcC4C74gUb9TZy3GhXtbCI2d911Fxw/fhye//znQ6vVglarBbfffjv87u/+LrRaLYHUcHTm+PHjGoqD1u12YdOmTcof7TOciuZQY8ObJpoRG9XRRKNdVE3GFzJ0hjrEmecqQ82mfs3dtpmK5iIegBSyKy6SEbOoJ2J8edsivbg+FPeOzRAHoV3umQYaGNhgdlbWCDD0KmRUQKLeA6Bn5puGrGSW8cDERkVDpKLPqAmcqtEh100zz6aCWd7HBo3zQbkKmNyUks8h/LtKApsBy2KY6Ek4xk3OPs3CL64PhZMi6sFYca0NZVpmggfmwCb5mY2KZu3rwzZ9PBeVt0ZrWcZw8jMzNY8jNoKKliI2c1Mt2E42vdluS5nbzabq/Jqyg/hOMbs6inREzSVAKdugk9bY0OetiCFYJHDp/21cZp6Y4lS0DkExXK+7cI2NYSzyDCqArj5IueCtRpE+NjL4dKGiYcDw3Eu3iJ/xgB0gXyxBBICGfjImdF/Ku460tZxanvPNn7MTFQ3FA7BfSXreyDWwYQ57VmNeNGVNFDWEyXEaFY2LB2CNzawFsWHJNSWwsVDRANwln8NIXecB9BqbONbnrA3tpIYO7TCUyRa+FgsmQE7tolE8gJwbx/XhhR4AJDVWdO3BBCoiNjxQQB8P/QcqK06pZLTGBsA+LnC/np/igjDqeOIBl+ydqCI2HHWRDArVvzy1OtBVOa2qj/q1m6hoQRDAv/vhvQAA8Idff1LbX+ga1COqtnieGVZvDgCwToKh40s98W+cP5KKll6XARm2WV7vN24jksjH94N+iRB/OpuIzatf/Wq4//774d577xV/XvCCF8Bb3vIWuPfee+Gqq66CXbt2wW233SaOGQwGcPvtt8NLX/pSrwujxouzsyazPEalHhkDGyYswM0q96zV2Kja+cMwtiI2yvc3c+Sem3TjVh1bXGB3bZ6ShZJDLiesBhm2RXrzdFtQwvpDWUiMg5hTQ+I4FgWkOPG5Ko1NFY0HqabMfFY9BTeeueKIDd4DVUXrDUP43tElteN6Q79XmtWgRYHi3AYaAf0ONHSokFIggrH0miV1RG6CvLmlaUHBBctU4Eo3e9o0DBdkjthgth2NU9EiS+YXgGTvNSqaWTzAJofKm7hRs41h+g7RcBHGzR83Qt67Y36qrSA2s52mWNgBVOUsALOAADr2FxEqGk+UOPWxQUSt1SzUoJM6oWqDTvlvnJOrjCpGNzyHpRUA5Dul4gEuSmHUeIAvr9OMMKNJGWL5s0zxgPT7qSBFq1mgjw3JWtLCbONnR7Ku4dmXbBbXaNpT8qSFQ5Eh11XGTOg+RYA5akUtS3YdQKf8YWDz1KlVq0MpqWjZNTb7Tq4aKXBFamwwWdUIdCVPm3jA48eXYTCKhIIfp6IJ6quG2AzE955O11VecwugK2HajCZf8F5x/myaaouf8Xc0tDjN1DiTAMAPsVGSreTfXJQFQO5FiNhsmmqJnnYAACfS/TNL7hlAjl1MigGoiAudA/waAZJ96q6nTsOXvpf0k9EagJOGr3Eca7U/aLzGhjMaaEAYx6rIDl47Rx/RshBaWwDxE8/bA9vnunB0qQefvf+I8jsVsQmB1x2jj7WW9gcCUBO86AfPdJpirguabqR+no8fk/kiNnjPSX1ooNxTUVU0PX2UYfPz83DNNdcoP5udnYVt27aJn99www1w8803w9VXXw1XX3013HzzzTAzMwNvfvObvS6MGneGXahooggtpRMpVDTUXWcZ9CCQ8Dt+1mStdIMaMHiXbsi2BVq9r2wqGs3i8AUIF9jtc12Y6TRhqTcSQYZULVGzXnzxOr6MnXk74hn3RoS+YFFVO7U6ENlIXBi4eACX57U1CJtl2S6f4sDk+9XsEc9M4s+nCHXkf/ztQ/Cn39oPf/hvXyiDQPas+iNVFY3WM6EJVTRLbwA0XmPD6XOiuI9S0VA5L2NiTzsiNnjtQSCff4ttonpTUV4XlE9FW2EOM74+q3hASrHALJlo4jalL0s4nngQQ/+PcxLHBO4bssZGdV7mui1FCnRuqgVTFLFpNJS1Joxi7f45YjMcxXofGyfEhlDRMrKoNhsqmwNxcg1UNNrPAIDA/s3AShnmhoGwCGzaDW+kSQZj/LvtGz+AWUbVdG4u5c5rbOLYbwOm7ygPsaFB/rPTomSu9CeuJQexUeWe04wzq12k73yWqH5mUUglJdTsfONzxkP3bJ4Wc+zQmXWlBxSaoKJN2VXRDpxeg1e958vw4r3b4M/+44vVc7LeRi41NrQ5J45fvr6hDcIIvvXEKfhXH/wm/MRz95A+NjaxEnMykJopgHBHbOi7DZTn1GklQkeL64ny6U7S880UXHAz9f7gDnO2KppOP6P/pkkuvN/H02aNm6bbiUJjM4BhGAsExUpFS30o3EtRMprW7iXnVAMbPnf/8q4D8N//+n7x/x08sGHH8tofcT0tlR5uFQ8wiPmcWunDRbMdDX3kx46ipOca3WNsstzdVhPe+pIr4D23PQof+9Z++MnnXSJ+pzbojCBOb4VT3VG4aqrdNKr1UeSRq6KZfFKbNUWixm1dpYEY97nHEti42Dve8Q5YX1+Ht7/97XDmzBm4/vrr4dZbb4X5+fnC36mLB+Qfg4sNRpq0QEk4hFGs9J2YaTcV5zLrYc52mprSiCzS18UDTDroQRDILtuKeICdisbVN7bPd2Gm04Kl3shARUuOQYeO06nuP7QIAAA/cPG8WFgonYhT2XAAUirCWn8EURQbnoW6IQ2IxDU1jtgkTeiyHRtqXKaWZtiDQC4qlG+871RCRfr+iVXteJpNyetjI8aUZ4NOhNmxZgEdERqM8KCZP7c27cBsknsmix0iNt10zAEYxiO/ZlYHk7WRisDGsonb5K9RkQkX3hVGC6Bm66VExwjOSaTnhCyA5L0q5qdasHW2Az/7I1cljQ07apYxbxMFIHKh6XcPIx2xyZMlBSCJgVazUINO6iDR7KKJimZDbExonM2keICkG6IzMAgjbcM2makXB4DkU+dSs8j3ywyqHPe8STINLJqNACIMbJzFA+Qal4dOYcA702nCdZdvhTdcewk8K0VuuOUGcpSKZquxIe8cxzlds3ind4B855ueFyBxdvZum4VHji3DEydXzIENk3s2ITZPnVqDODZT2kSDzsAdseH1gwBmEQyAZEw9mjrfn/nuYa3+Ds3GpFgwFG+bqGgufYIAuDBEADR91knV/BbXhwb6aPK9pqAKrdFIRGdwjNK9VZwjI4liEgyg/6ZjDvfxbz5xGgAAXnzVNnF9w3AkEBubeACuHbgXLK7JPUulkDaUec/HBYooXbJlGrbPd+Hfv3yv8nveN2qlZ06mcZ/T1sdmMIq0dfrESh+u3jmf0aeLBDJhBFMN+Q5tgQ0AwMt/YAe857ZHRbsCNN6br8/8R8owWh+EMNVuGhsL03pnvGRNFa1lH29o/jU2iFIFmn/B1WpdrXRg8+Uvf1n5fxAEcNNNN8FNN91U9quFaeIBLn1siLoGgFqwTxeDBLpLfjfdaamBTcbDnOm0BIytiwfEGg2C7/HIGZSZaLqA6vQBnpFEla7tc1J/HRc7vvDs2ZJkeo4uSi4lAMDdT50BAIDrrtgi7pUuxPgzvsjTPgarpDAdQG+QhvdiRWyMNTYeiA2js1Bnqt2QjjwVDziawuVLpMaIZwaGodqDYGFtCMMwUt6JrLFxR2xGYSR43cgdnmbvD4AUEeJ1GTIZWf1+aJB0Oj0f79FCTSvw53VBzOFQr8VMl7B990ynCY0gQXSWe0Nx/7Q5p+0cej2cnDc4J7UGnei8zOqIDQDAjf9YFkEqNTaEHgKgO8CDUSTek0BsiHAIZmB9EJuptn+tCoDqINHnTd+5TRXNlpXMMqN4ADkv37BNlkfVsN0/F4Wg14PHJDVR6fela8MmlvnFwMa1/kMRDxCJM/M10r4dzUYA7/1Xz7N+r6THmL/L1KAzK5OK9Bu63pvebZbzHcexQFzpmrp3exLY7Du5Cq/8Qf1aF5l4gLheEqTiOmdSz+MJFJd6yz6pT0Pj1CG0YRgJpdQ4lmOQJz1wTEYxiCD9tAG15+dF44khm4UkW601l24FWj8+NERduaqo6dpsey+AuXYTzSb3zBOnAKraX6sRwFtfcqU4/3JvlC/3nF5HlyE23VZTS0hg49dRFGuowN1PLQAAwHv+5XNFcEWtxYIi256j1XhaxAP6YaQ9O2TTRDnrG0DyXOn4sclyAyS+HkBSr0SZDrbkimSxSIbR2jCEraCPJwA1QMexKKhrGdfFzb+PjRxPPIAca4POcRt3HF0yi+jIIipDI2H6cmhDSi7F2WnZN3rqAJnknnnRZhCoTpKkr6kBQBzHRt40z6zg5Nkx11U6TQPQPinJMbtSYYAjC3Kji+MY7t6/AAAA112+lSA2RPqV0bvwnrgqDl3wMeONNDibeAAaf+Y0I4M82CzTOlWTzYEunuiIrA5GgoK3uD7UCphptrzHJj+VcoxjGbxqDTo19EPWdpxeG0AcJ4EuKmnNdNT3h+en102V0QBUBRHuEEVRbKyxoePeJrGLhhvQslZjY0dsuHiA7bttikw2WkByXnNWG+dDg9DscPzbGnSimc6jFpoGivPMnSt6v0LueSSFQ2YyqILcqHNGVdHyxj+/Ng7nmwIbXRUNERv3wAafNT4S07qae80WqoZzHxtKRWPBED3WREVrKuIBroENkXvOo6JlBOnc8LkPLCpwIUGeNMTGgO5jYHPENbAxON/0kdA5sHdHtoDAkhAPUGspqJOD6xwPsAEMcs+WhAY1idjoReLchmGk0XBajUB7T1SFCefzCUOdZbfV0MYvQH79EppSY6PRqCW7ZI1ds0QEs8eXQkU1OIddg+gGmlpjI5+/SfSDqv29/jm7YdfmKe38AFkNOlXEButUptoNlUKqtc+Q13h4YR2OLvWg2QhETxpuSqIqjK0NoTWf04Z0GRAbrMe1JQOpf8CPzSrSx3k9CCNYInPWVudHx7DwMYSKrX7MdBYVLQNJ4uaL2Ii+i81AS0i0LYndPKtIYKNepg8VDSDJhg4IChIEMqvZG4Zi4eKTkBdUU6O1ISJISSdrHOtwYHLd+kaMwRNmdSn9wobYDEaRyGhsm+sKVS0R2DAKxp50kTmytC6+7+CZdTi50od2M4BrLtks7hUXTErj4sHXvpMryrPAwKZFoG5Bk9JqbLLFA5qNQKFNvOfWR+Ez9x0Gm3HlK/qM6fPD973/9JrI5NK6GVxobVQ0AJXaQecsvycuTUg3ueNLyXdcNNsR1zrTUd8fgDlDQpVB2s2GVvvEj0XD95O18eudydXi16waG97ThBt/Psn364pMtk0muT4zb1eVilSDH47m8QJhk9PJ+9jQzXulP4I/+eZTokAW73emI4vJKWKD9TpuqmjSae54BggA6jyw1djw3kX83Db6jslM6kpJvxi8bvUcDxxahE/ec8h6zabvzhcPMCA2+O4jfR2lBcLtpnRIvcUD2vlUNKG2ZBDC4CbXSvld64NQjDWKUKHzK1TRDOg+ZnaPErUjk6OfJfdMnwlNFuUpo/E+NtLJkfcm96lYc+xEYMOoaFl9cOjcEddsCdIHI31d3zLT0WrLTI1TTXRkk9QzgJ4Yshmly5rmATqkPMmGdNK8wJkm3bIRGz3IpHLr6J/EcWwMbGbIdfy7H77KeH56vTzQnhI1NsnfC4INw2ts1H2aOs93708YKM/YPW8N+FTERpehRjNRv02/749MiE0/vTbVD0Ojvd9se3fXgAJOtZviOulY5Eqv4prJGJ5lEvCUwcQ/A6Cropn669jMp10HAKXTmmps0oTzhYDYuFDRknqC5N+9YaRFnDKwkY4I58pmPUwVsUmVwMjnJW+dIAgKYqMW2WPgRTfzjsFBWRuMROOpZiOALdNtgdjgYsf7pGD25OhiT2TecRF45p7NMNWWSkyYzaU0Lo4M8E3tlMlxZllXKpVKjfd1aDUC6LYlGvG+Lz0O//nP7oEnLRspLxBWAxv5b7y2g2dkcEfVwlpsAg0MmT1Vo16+p9waG7IwIz9WbQxpoqLpC4mC4DVlEMmdfc6fReobV/xSrrllvuYVjxobXruBZloMTRlNIR5grLHRnT8AmbHuNHXpdE4F2DLtgtioqBal4XzynkPwy598AH73i48p1zvbbclzR5EUlUDU2CGwoeIbnNLlYngOJ1U05siKXkYeiI1W3NpWE0bcYf2vf3Ef3PDn98Jjx5bFz3Dj57U4ufLHhiBbBBpDDGoJYpN+jlNamt6IDaGi5fSxwYSAaSxzM9VzfPo+OdaoI0kRGxu6j0p/6BzSJBW1LOebPhMaE12VBjaPHVvhhwCAFA/YzKhoKmIjz8cpMbwRcLuRPRYAiHiAExUtFuvjZRclTIbdm/WefHSdk4FNso7SvkQmRTQAXTDGZrTGU0MuW4HSsJIaMitM8uHUpnIQm2zxAJ2KRt8DTYTsSMfc9XsvEmIZAFmIDaeimRGbbqupiX4A0H408nruIQwUmyWNipNje6NIvJ9NLAGh19iY98uEjmxmdrj0ftMYCIaAgxomLahKq6leJjmHPK8UKBop17uDqIJyGjaAZGoMLIlpkxXtY0MT4/IeiiE2Gy4ecDaMO45ZTanQgiCAqVai/tAbhlpgM9VOlMRojQ2P8rMCG/pZdB7o4BeBjQWx4YIDnLLFz48dXp86tSYmzrbZDjQagaZTzlVLdm6agiBIfn5qdQA75ruyvubyLcn1MPEAOimooxFGMTyZFt9jDQFeD10MuOCAmBhN/V1OtRvQG0YQBImTM9Vowi3/6lr49r5T8PcPHoVjS3149NgyXLl9FrjJrG/yvUqNjYGSQyfbKUNgg/edNOjkgY3eVZh+N5quaNIQnOAnTyUBGm06NmtAbExcW4WK1rJT0fgmKBEb4rTzDBR7L7ywmDsc1ESNjaN4AIBZkWk5A7GxZbhog0LuEHOUqdVMsn8yS6dn09U6pIY4PoxiERTjeMfnPE3oY8NRLAIqKlKSZ7TGJouqYLOwBGKzXgSxYe8UEd9uqwm9oZ7FxGTMqdUBXJ3+zIbYtElywWSxQGz06+kbHDB8//PMQRJ0C7f9VzgEU+2GmEt5qmim4JmbqdEurjXHl/qKWILgr4eqzLmC2MyqSlAm4QCAbOebIjY0kfjMPZug2Qjg6FIPjiyui/5nAIkTtMwcRZOTQ8ff6mCkNH7lSobCIcsIEMTcoVRbg/oX9mjDwOpNL7wctsy0hRw3NUVSOFLrWp99yWY4dGYd+qPIitjMG9Y3k9FeJyYUXSY0eWCTJlUs50ej65nJKXVt0DkQa6r8GfUR3nDtJbDaH8E/JWpdADryMCsQGz0xQq9XNHduM/EA1lvPhNhkBTYAABfPT8GhhXU4vtRTGnSargetaRhPABYqmkBsVPRROb7VgHXSOBXN1KCT2va5Ljx5ak3xRWzJFbpXzxIfkfo12+c6cGhhXfkMAAhQIGI1Ni7IiYvgBzUVsbFQ0c5HxIbL6boENgC0YFxvWiRU00ZSFY0vUrasD4CK7gjEhgx+KqGKRhdLfFEdpoqGfzdYlo1SAIQiWpr1n+ZUNFbf0242hOwh0mjuZtkN0ZXcEJDR+obDC+swGEXQaTbg8rQ5KC74vD4BQG4Kts7HAASeJvf748/ZDb/2k9eIAkAb9YHLNdNXRp33KcPEOGVQDaI0GP4OTV2FAfTsDv9/EARio0PkiSI2tO+E0I03LCS8xsYmgawjNqrIBYDdmUSTDTpHSiGxaZEWqmgWxCULsaHZ4uw+NmbERsq4y0wcjglTxoyqH7nU2NDjEeFDfnKfBCM0QYFjgzbIy7OeQDQTyVpfZTSqMEYDIzWLbUbWegZ0Oc80KhpT7+NF9biZ0qA7ivX3k1ynXBNNNUaCmmVYT/F5Ud42Is/zHLFJb8FVPIDKCgt5fJt4gE+NjQF5xfm/OlAlmyliY0P3N023lP/bRCEkKqs739RhpO9nptOCH9qVKJxioTZaslbIa0iOxXlrDmxsjSfx3eLzM9XjoPFWAwA6+oi1nMm6jonMJrzl+ivgOaSBKhoWqOMxAHL9v3i+K/ZjG2LDlTBtZupjg9YiSUu+pq8StDjLppXARl+HMxt0GpTQRpZxMdttwX96xdMEO8R0/ul2U6xBeoNO1S9bIKpoKmKTJpENjJAHDy0BQH5gg9d4ZLFnp6Jx5MByvVRABg3HiUuLBCtikxHY0HMAyLGhJHqaDYVeSX2MHkmabiIshumOuj4CyHXAh4ommwg71tgQOq0utCB9WB+rRGBTBLEBUJXROGQvMm4KYqMuUlkvccYgHpAUpCY/E0pDJAtDZU1lPxGGbJDolRpSAI4s9uBgSmfCrP+sEA/gVDT5Hbu3TIvj1wchPHwkXQSuSBYBnllRm4NKhxEDjCu2zYiNERGBroIIyAw2AIVY9Y0AF2fTe71yWzanW8vKk2dMM5UmzipStBApSu41OSaK5eaBaBmFf6nKT5tJUBqb4YnAxk5FA9AbytJghC62ingAWxw5YiPU29rmsQigI2m0BoYuUMYGnSyw2cyK9E2LtEmRCek72XLPDjU26fVSehYaFRAwIUMKYiOC5eRvVJfDgIY6VHSjxc0KNxM3VbT0u9L3XbQnTLupUtGmDYEN72NTRBXNRr80OUpxHGvBIIAucsK/K47Nm6NAMGiNDQsETd9N33e72SgnHkD2D5NloY/cTGIJ+L2r/VAJbGjNCR0bdL0OgkBBhG375bwhuYBmEw8AkI4jZsjRlkjBt1AKNWTW1zOpaCqKhzTrLEqXucZGHVPIsBiEEom3BSVofM2hvePyAhtXKpopaAWQjqlNFQ0TkPlUNHNijP8sv4+NOq8A7EggNfp8OBWUGo4XvF6qisYTEgByXuPze+DQEgzCCLbPdQTF0GZqYGPec7i/oCFMRNpeR2xUKpppXe1YBFKyxAMAALbPozIaCWzS82+e1pEtNFnHK9uC0Jqd5DO6Khomn7LU2riZeldlGZWst1LRzkfERhMPcGwiR7tDc+4ibUgpa2x41G5f+OhnFbWppkSJkv9nIzZC2jRHPWzrbEdIUn4npZEhCkOjcQC1WR/a7rS515GFdfjuwQUYRTHs3NQVwgImOWF53XiNsQgw9m6fFRQqnMgUWeM0qSzEBp+lyWlGPjNXYkMLWRBHv0KlounfLZxiGgyRY3BxvXRrslBS6hpuwBgUmZoFUkPa0xMmxIYsovgOnWpsELFhC4gti5wlh2rrNbPSH6lZuowaGzwvl041iwfoGU2XBp02ueekxgaDaRWxofOACgiY6h8osofrDB6PWUTcSJSCf0bXBJDPm25eRxbX4Rc+fg/cw5xC2vwRILu/BNpybwi/9Jf3we2PnlAkpmmCRa2xSX7IERtUXPLqY5OL2JB+MuSZ0KDbxkFX5VDl+/7ruw7Cr3zqAeVexfUwB42rUgLoqmgiSMgQD4jjGH7tMw/Cx76136+PTc+MXprMlL3ticBmpNBtTYhNI9AdL7q+2LKdmVQ0S2YeIGkPACADm4/e8SS899ZHpNQzQVxNtJRVRkUznRePw3fmREUz1HiiCcRmFMP6MPkuG40Mjb+Xk4QpIQIbq3iAm9yzDbHBuYr3RFXR4jgmiE32PZjUW6ll1tiQnwl6LxlzLo3S6fqjUEE5tSu9NtwLcbjoiA3SitVxhevptZdvzW0yjD7PgdNrYv5qfWwsRez8emmNDaqcnlzpKyILpppwW0Bp6/eHhi0iTqQ+1zCUNZ10b+PIB1Ve7REKNX22lIrGVdF85J5NvauyjMo92/zQiTfoPBumiQc4U9F0xAYfFO1rIuRZORUtQ+5ZQWxYd+/BSKcxAfAaG8zMcipaLL6H297ts3DP/gX4zpPJJMYi0VkSjQOYaUy7t6AyWk9A8deRRYAHHEpARpCBwykf87KLZuCptNbmdMqf7ypOlHT0AKSjY6YlJc/ClFnMU+HhDgz9DpWKZt8A6OdMgc1lKeWOwr/caW43ZHM107vDRf0k6T+E1mgEMJ12A17rhwBzjlQ0C2JjKyY0oRGm+wZQOeIqYmMIbNg73TKtqo9lUtH6OhUts48Nu1cqd9sWC2oa2BioTnmIDe2Wjc8X15vTq8l4wLFMZWapE4QbmaCikef3V985CJ+69zAMRhF84KeeL35OG3QCqFQHm33l0ZPwV3cdhINn1uCFV16UXH96rbs3T8PJlb5YI/AZARhU0Ur0sUHriuvWleB4Z2w0ewM7+d2DMIJpSL7ztz7/CBxd6okO7NRh4EiRCbXmHcxFVjJjA374yDJ85OtPQqfVgOektRjdtioeQHtKoMkgPV8VzUQpxee00h8Jh6nZUCkiNnQfQK3hs1EMs5zvUKmxUX+HiM2Dh5bgwcOL8KuffhAApGO1yZA5ps+Yog82xAbvE/e2VScqmh7EoyGyMfRAbLiyJ8o9b5vrwNzUFgCQSS9urjU2FFVWApt0PPP6WYBkjOM15SI2FPHPqrExJFCUGhtMGBBZeRejgdXclB6gACTvijfSFtffbsKO+S5MtxPkRjArmmoC5dFUlMRUL8UN2188SoRMdMSGJdPZJFACm3Su7tkyBadXB9BPRQl4/S81ntBGy6WizatUNJpYofOOH28KbKbaDeWdmKhoOG19xAM4jS3PRgpiI58zLcc4P8UDchQqbEZrbEziAQBJZlz0seGqaBkP00RFA5ALuYmKRl8ab36J1zDM2KwwsMFiL3SOeR+UJUPmbDdRRsMGm5SLyp+xIjVNnDbcYOanWiJbJIrTaQ0Hc0RN6j1os4YaGzQUDDix3Ifl3lBzFGThaHJu6uzY+nlw44ssGmrFYy0R7WPAi+lNmxI1nhGiGVWAJPO2PgxhLc0mGsUDNCqaOnbQbIGNTx8bShWj358lHoDGqWjmwEZXZOKKStR4w1c04dy1ArJZJJ8JDRsLOl/NNJg0GXbL5u9WIDYY2JCaC5pBDAK1xoYGY4jYPXFCDdTpZgOgyonaDLO2S+sjpcYGAODPf/bFsNoPlTVgI/vYaOIBTG2S1tj0LI6sCVFLrlP+n6IYSB3F9+CC2NDPzDMkQYoH2DdgTOQMRhHcf2hR3CN1fAZhpG34PlQ0QfUl9WOYBV4bhMq7pdnQLAUlF8RG0E0zxAOCALSg7fKLZmDbbAdOrQ7gHX/1XfHzLz1yHADURqgm6VeK0nDEho8J3GOyEJu+CbFhziQGSLTGJg+x4TU2iNhvn+vCM3dvgo//xxfDNRZHmj5bU+CLRtcoU4JtWrBOCMpFqKQzOcHZVA5ik6Xup9TYYLIoNM9Zm9F5oSQWLElHviZ3Ww2Y7bbg0//ny5T3i6wArB/FpBPfV02GiM1jx1fEOXWqGfc52XqHgVUYiT1oy3QHZjtNWB2EcHJloKGP1GzKj6aGu9R2zElUCEAdF2oDYh7YyOR3j/RMo2siRf/wkouIB/gjNtLnbVnYM1k9JU3mFwZNyHj07IrYTJPCO13uWdLURLFvQVU01WGUwRRABmKDSmoscs8aQFcxVbDtBipajyht0Ah+N2nSKYQDUkqB6XxtQ0A2DGPR4Gmu2xIBiaCi0YwZoQ5FkVTwMUX8uOmYFoBNU21xn1ifQk0oU3VUTjeA+uyzIFS6qNHCbdx0LsMaG4MqmixmNAcgaNzB4QuwVP9R6zfoe1EKwVukj41FFY3T76YMNVDimi1UtGEYi2ALwKLwwr6LyypnUtGIw4KB5CZDYMPRGDRaY8ODadEgjVweigfMdVtWZwM3UC4ewHsymcQDAEAUUKNTQTcvDGz2nVpVsti8e7qLeAC+5zVSYI5j/tKtM/CDaZE3mk0VDZFeH1U0m2CGKQNMURqK3tioaFSSFTc9uq5h0KCIB6S0YV5jQ4t+eaM/F8TmCOkFY6Ki0Z9Ty6oX4yaoviP9ma0ORrIvWSMQ6kwhUUUz7RV0fbHW2JA5yEUaRBNUwxwJggCuRdTm8JL4+beeOA0AjOtvyN5miweoAfqsCxXNIB6g1xhIJBFrfFwRm2GY7GGYwNsx34VGI4AXX7XN+n7x51Gs1zxSowgVrQviIkeKklz6LKbajdw5S4OGrD42pn5CdFrgWBuSsehiCmJjEAEAUP07vmfh767eOS+YEwAyQcWTHbwJs8mwxgYTlabkg2sfG4rYdFoN2EaK+116v+lUtOzABuc1KnOin9lpNdR6ypZ5/K8NQuIfNBV6ID2e1x8W6WOT1XuK2pD4UiY1XoDsshCTVSKw4Y6Tc41NSwY2Q4YYcHljAAMVzRGxUbTihfOgOwtKHxtRY8OpaJHyc2p7t88p/8dJRKlouOkHgcppRcTm/kOLojHns/bIbJPeaVcfYKMogpXU8Z7ptMRCZWwASe6LOjlmxMZORQOQAd0TrDEoAO1h0NC+w96BPYCdm+TGn5UxBpB0g9OrfTHRddGC7CCKb4BYBIiGTVbXB2pgYxMPyO5jkxy7jcm+0k1Og9bZWKf9hZCSR0UWqPF5wmtssuSeUZEpjmMjRx/Ndq8020ORxSiKRYBBN9Gts8l3ZzmcuMCjo8HXG4HYkHdkCmal3HMk7nHfiWQMD0YRHE4VCimtiAcINjlheh0r/dBYd8LNqoo2tK85NuMbTVckjPTrpo5dzwGxodeK4iNLhNKD/6aXqzfoRIqqfC8znaaQMW0RwY8sxObIwrr2s6lU3ls0IzXUtPmJB8gkEBoGgHEs63VsqmimfYpSXW0UQ5wDYRTrgiOGJqjUrk3bBACoQQOAmpgwqaJlUdFkYJP8XwQ2lh5ZAGbxAJ6xpokangyzGU2UnFkbiGtDamCW0bGWpYxGC8xNSTlMoNL349qcEwBgukOz3vbAhgfnvKh9yBMGjkkQuudQef1mQzbzpXscZ1bYqE8YwGBAgwEOb8Jssj1bVPqgqQ5O94fMicDBKFScftpnJmt9szUhdpF7BqCIDVKYG0wVkCM2aWDTZzU2ZH2aMVHRIlU8wA2xMe/VNhN08pYqHqAKWPmFKpUIbFpMBs5Z7pnwUyVsn3I504FLqTBag86swIZMBpN4gKlBp5KRQQeGKQDlUdGo4SSiiA06h/PdluKEoioaLpDYmNN0D/z81MmgRYuC/2vaWMjEpRu/yenPUkWj922qs6G9RADUjZhOEnreXZunlDoQrdstu0YMbKJYLqR80WpZAio07uDwoGOGKdv1DUWEvE9Qnioa34B9xAMajUBsnNjoz5al0wIbVmNjVEVjDTqxIzKAjYpmRqdU8QCJLNpkSXHjy+ovwvtS8XGJm0lPQWz0ZyNqbFLn/PTqQKBSAHI806ydQGwcamzwPScF5vmZ1DZZa0zfw5WksszUq4n+rVDRaGBD7ie7N5IaqCytU8riSDtOnhcFVKTDiBYEckwrVLSMxOLRxZ72s6T5c2AM4tCyms1yM81j+syWDIFNGEmZWVMtqEJFs7zXmU5TUE64840OjW1IUBrzja/7IeV3NDFhQmyyqGicUilqbPr5AX4mYiPEAzxU0RpyPUG0futM28mpp2NtKSOwoXPAlJTDwESloiXfx8WOTKYiNoYaG4EMh3B8qQev+u0vwwe/8n2t9gPXXZMoR5bRwIqvufh86b6mBzbmZ43IO+5N+DcmrrJs+1xXWSdNewFf32zU7T6Re+60GjLwWB1YEWkAOWftDTrNYxNr59YGIayRZptT7aaxGTOaoKINQ4XRoaiiKVQ0NeljSrTaDNcM5xobZBtkIDY+STeAigQ2ANmFz9ZjhPJZpNV4TBkRGyoHGmRS3ii31dTxWIoH2BCblO6iKABFmVDkldtnlP+jKhotMMRsJqfzXDzfBZp8u45k3ABMqmgkQCCUpzWSLeIZIxNyNQpjMfkagdnxmhWqaJbAZoc9sOGbmrI5kH83GlIGd/emadFngR+TXLv6LOan2mLxw47InMOvUNEM745u9pumWpnFfQBmFRJrHxu2gPQtgU2WHKpR8ADv2VDTQI07VrTGxtSfAYA26EzrRNJx224GRgW7tiULhPMl6WMjP0MbDNJx9dxLN8NUuwEvuHIr2Oz5V1wE0+0mXL0zQUi1wGYUJhLGhD5mukdMOKBTwMcv/p86LRoVLcPrxvOvE6ptVnBi2xxwTvNeDVnmIx5As82mGhuXPg9LSiPX5N80iaEhNgbFQwCAF115EWydacPl22acqGiIqlHj92pSIVzJ6MnEDZ3EARnbNIOOtWfNhiyupYhNXo2NzQkNgkAklZYZ1SsySGpTu/byLXD5RTPwrD2b4E0vulyoVwKAcW2l8zYLscHzetXYGNZKTTxAqbFxQ2woUwHldbc51HCgIUvCJnwDoNasNA31oaYGnciayBMOAHBQRSPz5pv7TsMTJ1fhM/cdURTRAGSiwFS3mGXUJ9ADGxWd5p9Prtn8jiQVbQhxHIt9easDYtNsBEKABMCMqubVdVOqMB1/eP7FtezARtToWKhoNoRirtsS13ZyeaAwVrqGGmc0fPaL60PhH0x3VCntGQMVTRMPMOzN3LgUd57RYNmmUHteqqIBJIMGRamc+9h0JHrSZ5EwTiCaMaKITZ4Kg008gBeFKSoPhmJXugBjZ2T6Peo5W7B78xQcSbOI6LjOCOWYkVE4AL/v4vkuHFtKHiJvYtVoBKI7Mz8/vacVki3iC6upeHMYxUpGw1TXUAax6THEJqufTLeVKNbt3jKlbJR8EaDHNRsJ33+2k3Ssx404C7Exyz3LZ0WVqtBkcV/y/aX62AzyEZs88QB6zRKxMc+JrBobW8YNHT4MbCgNzTRGKBpDzdjHhqgGAahj4opts3DP//1aY/CEdvM/uwZ+9Z880xgsAySIxyCMgHaix9os6tDjvaNTxyXLUUAAaUdUHcgFsaEBET7HrEyqLdOMm2MZVbRM8QCK2NA+Npkbv5rRxHUNQEUw+PlxrRG1AOyePvTTL4BBGMFUuykzixlUNERsWo1AXC9u7lmIjWjQ6UNFs9QlqZLA0mnIpKLN56uiAYBY13hvI1MTVGpT7SZ86ZdeCVEcQ7vZgOsu3yrGc16NDV17ORKDc4U36OyPIhiFkbGmxITY8AAf95i1QSjWDKT/2owmSk73UDgg33FGe95lW+DRYytw9/4z8Jpn7jR+hs4Bhf7dQsRGpSgDAKlzzc+edzNYGfRng1EkGhCvDUbaOhumtbIjy7yyGX0nPBEqEBvWxFO9fhtiI6loS6TXGqdB22zX5ikhwmSi9OVR0agKI92rqXiUCyLtS0ULggC2z3Xh0MI6nFjpyzrPlorYaPLvqKa23JeIDesRlEVFk/5zfoBhknjPMkU8QEFsdETe1SqD2NAbs/F+uUnEJgReu4KDgNakKHLFOQ/SRkXjm4yiimaqsSG/H4WxyNrZnBB08rfOtMXgVRGbtEmigc6DMocAsjEnNTqZTFzHURiJjWiu29IbmioTSx6TB2PiAm1znLHGZt+JVa3IVWbNk2Ntcs/JZ5Lz7No8papFcfSCPIfptBM8R1TEhmSQmTZlxpXAxpD1k99vl+xW/y2dYL4JoaO8ebqtXNeU4f3IazYENgylsvlH/FiKFpoaowKofXIAJL3IJByQnAMXSzMVjYsp0AaqfGOZ7jQzex0EQaBsyKb77o8iRRWNXiOek2Z8AQCeTAMbVF+UiI0+P1zknmmQgIFhlhPLNzs+f33EA7Q+NpniAeZ6mygj+4vrL77fxXUdsVECGya2IBp0sutsNOS7zUNs4jgWSaSXPX27dq+iSeeIOycSQXOpgzA5OabGnw1WY5OV3VURG/t7nbU0wIxyamwA1DFOE2V0bW009HmrIHhD9bw8YUSdLRsdTc4fsmexeYBjfbkvx9FUJ3u80zpR2pzT1UQj07TvnMkoAqKO5+TftMk42ooHFW06J7ChCRSsU1kfhJrDDZCsq8NQfT95pgQ2HLFpmqho6jVOWfwwKh6AjIKZTtPqY3BDAQEAtfYHLU88QCDTjIpG/QRcVrJaJHBkLK9BJ4AMUk6t9JWWAybGDNoOUpsjfKZOU7l3SkXD02tUNCfERk9mZJms2wqMCXX+bxerTmBTgIomVNEGdlU0XCTaDVXpxg+xsUOAeX1saHNHSkWzRewof0wXWMpDFpnvaX3RQ5lD2piTmnr/OvIxDGOBcM12mzoVTWnQKbNdeUofMxmqaAAAl2+bgSBIsqBUmQwAlC66AOZu5OL60km5Z/O0sdeC6TgcQ0K1LL3/LFU0o3gAWdR3ZAY2iNjodUt6HxvVcUZbH0iKlI0ymSeYACCdMuE0W+YEX3Qo39c2j7gik0AaLYFN00JFo3QcuVnEyjNxFRuxmcnx7g1DRRUNQBcK4egtBjIvv3qH8n+K/KDRACGKYkVqHG1dqcPQnX1ufLPjjpGP3DPf4CQ9CxEbc+8alz42AKTGRogH6DU2NDilGdSkOV4a8GbcU554wJm1odjQX3fNLnIulYrGxQNovYpbYKMnKEyS7ZTWGeZQ0bbOdERAnvVebQ0w0Sdx3WupwuamDMRmMIqU+9RU0VjvqU5LioLYBATMNTZmxGaRJGny9nhMeCU1NrI5p6th8vC7Bxc1VB1NoHGaeECK2GBgY1BFcxlbpjWFGk0IIDK/Rvr+0f1nGMbe4gHTWYhN+h1TmYhNnnjAUEg+u9DQ0Kj/Y6qx0ZrCWxgOtEFnt9VQZJVxDzKhnjaqsUuRvpR8HhA1zYaRMYOGtTmnVgdizk21uHiAocaGqaL5ITYZxYvEKEuIzoE8en+WVSewaalOg4spDTq1PjbJ3yuEwuHD6cNBEASqU8iz/zZVNNVJTX6eLPp2egGARC+UzvWkiH8xzV6YlKUwS3GdpTuvTVWGCgFI8QCdiqYgNum9UsqOlTeaTi4bvN1tNUUBP6ej0YwFgLqI8O+bpoiNYfNFozUjeMwsowRwFSrl3RoK/+jiuc1AZ+BUNJcGnUIC2YLYTLebShbGVmNjowjiGMqtsdGyWVJ60pbh4YpMojbMQt3hPSXQBgSJpZLQUtXJXR7eZqbj+8NIG3s8w8Tlp3HsvuoZFwMAwMEza9AfhRbERmYE/5+/exhe+BtfgDufPK1cgy9iw9cU3rXclTcPoG9wQgzFoLK0bqGiUUUo27WaqGj4zk2qaHGM9Sf270bj3bW5HSb9wq6/apv4Oaei9RgVDZNlsx1z7RU32aCTIDYGpI6romWh+81GIKio2eqeZtWxrK7pJrv64nkxpzexfkF4vQB6TY1GRcNgl5w3r87GRe4Z9yoMimc6drl3/h20xsaHivb0HXMwP9WC9WEI3zu6bPwMRajM4gE6YoO95Pj8NZmK2BjEA0hCABGbtb5EbKizOxxFmfQqk9HAivskJvEAHshYxQNmJWIjFdHcaGgAKnvFRTyAzyH8/SiStZYcscnq+dNhSS+0vCQwgBQeOskQGwWxZMfjMWEUw7FUwn660/CmotkCTWo4b3wRm1ZTlS+niTjfBp2VDGxcHRVc2E+uDLTsFi6CuAnRDCv9nM0u2TINr7tmF7z1JVcqCyQvpKYZQ5OKD4C6iUtZavM9/tg1u+C5l26GN73oMvEzuvgcTzO7JiraTzx3D1xzySb4Ny++wvjdKhVNp1Yt94YikzfbbSmSwAAWxCaKjMWd1F68dxu84Iqt8C9fcJnx9wCyD8/RJVWliCvcZKmTvemFl8MLr9wKL3naNrWZlSacQBCbtorYrFlqbEx8f2rzBPJ1oaKZFjg+ZmxNK3sDiQDQxcqmimYb666qaCaFLDyv7btnOlIi+fTqgCCNNiqa3EiooeIYr7HxLXLNMtMtJIhN6lC1sOBfDappJj6KYhHYXL/3IpjtNCGKAQ6cXtOacybfJQOE+w8tAADAA2mDSLR1ghTgO2pmrFs6FU2dv35yz/o7T/5uiutGy6uxMTnPWo2NoYO7bc4NiAOW5dTnUdGwvmb35mm4ctsM/PPrLoV/du0lwkEzdYUH8JN6ptc+ykFsqHJWGEl030abxnUmywmVfWIsNTaOQ6LZCOD/eOXT4EVXXqRIQfNC4jVGPdOpaKnjTMYijlNTI1EA0JDT5LwssEEqWjqOsho2i+8g6+tyBsXbZo1GAM+7bAsAANy930xHo4GCqTnhtGGMeamiUXpSRo3NMJR9epJeP9Jhxkc5DCMrxdNmCmLjQEXTG3TaxAOS97C4PoTTQrGuGGJjrrFhCeqMmlQcl91WU1kTOPpIDf1ErY9NRiNzNKyfo7SypGkw2d8N14tj9+CZpB/gVKsJm6ba8MbnXwpvuO4SZWxT8YA4zmfdUCvaoLPTDIxMIYD80hDtGrw+PUGjA9yVWoIIxZHFno7YcCpas2HNjpssCAL4wE89X/s5d6RcEJsOcdqyukkDJI33PvV//rDyM7oYICfc5CBee/lW+Nv//HLzDUF2oTqArLUASBQ0eMZIdZzlZi2fvXmR2jzThr/6P15qvS4ASd/CzBlan2XrGhmBzc/88F74mR/eCwBmugSaiYrGAw9eRNk2BILU6KJuDmzMiI3yThhVsN2UTg41gdh0msrYsCkL5iFp6DTbsrembBY6GTbEJimC7MDhxR6cXBnIGhuLihTNAtFO3mrhodykXfq6uJpJaaxHEBu8R7r4toijMgwjOLLUg/4ognYzgEu3zsDeHbPwwKEleOLEqkaPBVCRD6Ra4N/yGqh4QD5iw6los1qNjfuzaqSiGrxJpAmxofSzdRNi41BcSxEbcQ0W2imlO2U9jzwq2pFUEW3X5ikIggDe8y+fq/xeoB3M4RaBjQNViF4jlTLvGRAbOqZGYTYVDQDXmeXMgHXOgoZEGU6ZzX7uHz0dfu4fPV35GUds9OawPKBK/qbvba7bMn4WzbRW8n0Y13H0taZz6msAqLJnJM7Nm3jn2XWXb4WvPnYS7n7qDPz0S67Ufm+tsUkdX1y/B6EUT/CjornV2AAAHF+SeysmmjBh1B9FMCTiAa4KitniAfq6124G0Ajke7I50thSIIoB9p9OHHU/xCZbFS0XsSH/x7W322qI8bFKmia7yNkDJOMMj8kKILYr9TK4BzWVeiTTWr59rgOL60M4cDpZ13BO/NYbn6t9tkHWxrw+hNyEwIlrHxsyB1oGvxPgfEZsiIPkutjuFoHNuhYJ4/cJxKYZKA/Pl9OHpokHKDU25uy7kPskstQ+xVKNRiAWQMwy2ig9WWZDbHCTWUwdq5lOU+lzgmYqTh+G+YiNi4nGVyyw4YgNDXqznBpFPMACM9Pv5YEH75CdFyio4gEmKhoXD9DpezzYlA6RuoCsEw4tDT6Vhc/Q5dp2zQuixsYtsEkyVy3xb5tRpRbMyNsyopTiSREq2niXilxkbSq+ZrptE4VM4QcTTf5RFMO+VDHqim2z0GwEotnuvpOrmgAG3g8Act/V7tpoNLDJKlRF03obWBwNV6PjhvexGXhQ0bI3/rTGZl3P1qtCIdIxHDhmliWP3Px7TBKZ6hEB7PUpK0IRzc3R4sgrRRypNYnzq8g9W9B9XGey3iuOAU5Fw9O7UtFsxmkpXH1NV2NDmqFORbMhNibEkyea+DqUp4gGQCiCUSzWZZ4MyDOss7l7/4Lx94oqmiEpR9kYGOwiFW3GgYpGn4kpyUT3l2PLkg0hAxtSK0gTBhuqiiavIQgClT5nSYx1WrIHCyLhXogNadJpChC1pvAZNamYyOi0GmJ8rA9CRc3QdP0AqniAawAhA5uBTOy2msbEsuk4fM9ZtDKKZtO13AexyVKbpIZU7VZTVQak/z5/A5uMruk2Q/rSwtpQFJ/iAxLiAVhj02gog8FXhUEep16b6uxQKpo+CIdhJKk1nkEALv5ZiE2e2dTd8FrQwUX6AneMeOYFQEWhygQ22D/g5DJz7ljhtcJTzjjf5mmdBy6OI/c+oyE2qioavtO8+iy1xkZHbDjVLZeK1iLiAcwzo6onNMNoEw+wLaJ4zUfTzLVrjU2H1NhkqruQzFOW6AWAusjRokSlxoYiNhsZ2Bi+ozeMNIdK6Vml9NWJYN/JFQCQqoZUwrzPanUAKPIRCsQsC7Gh57WZVmPDERvPZ6U0j8WaKnLdaDYhgcwaG7bxm6honJIs6HtDSkXLR2wiK2KTrKWUj09N1H4wJGGln10vxo0iAwDm+hqAxNmggYLs4WSeY7jOZI0JW3C2UYkBKnYAIBM3aJyaZpq3s5ZrRDPLPatBgiYk4xCg0Bo5idj4BTZIRdt/ek1LykVRLJrl2mps6JqPz84HsaFBgqn2kz6XBbK+qIiNTFL697GRn+NoPN4v9wtUlMn+vBGhkYGNu89Dm3SaWAK0AS+APoeCQPbFUxEbuSbw5Ce1DvH50GgA4bpv0j3INbDBMWdTnAMARQq/73hdaEXlnjvNhpLApOdChoCrVSewoYiNYxZp05SUJOabAE440fW0GViz4z6WJfdMecMmBbakINRdfYIaTqhTq/YamzxT5K5pYMN40rigzrCIX+U4o1MX54oHuBidzNQ0VTS6OWQhNsSB1hxzcu+4AWJ2DHsI8I1fPa9+n7SgfpchAzxrpaKZAya1jw1DbIROfUNxXun7abKMpsm2kiZoAPZO3aZ6C3xuWfKQ22alUout/xIa3VhMiA0t1h+Gkdbor4yZA5tQo0HaVOuGYQxPnkroElduS5rs7k2b7T55apUo2+hU0DOrA7FGccRm3ViHYX/eWjd2rormueaY1suOocbGhthkFSJn9bFB4/uALIQOCRXNfk94u7YiV6Si7dliRmxsVDREtp2paMzJMQWsAMmcpYpDedKwyFjgst7UZkX9irlRZtnpw1XRcH3Da7b1z6FjVah+5lDRTDWe+G9e+zrtIFtLE464z7jUtVDbPN2Gp1+coLP3sxo5pdcWy1bjuSmC0UvVLqU4RXkqGvbf4oZjOEHC5TpGmym6GNaWthqBRl2XwZud0p7Vb4wHNps9EJtmI4Dd6by2UdiU9dy0pzcxsKGIjRQZEj6CwV81UdHQR20E2WvxjrTG5sRSX2ENZDWoBdCZIllBOiK1cSzXI5vIEDdfueehIh6gzwHxvR6BTYVqbGj05nZMEASwe/MUfP+EVNLC7+HFg00WERZ1wrPknk19bOgxFOr1PT9C6xiNF0FsVKqT3fHFjbLRSPq7rA30jJnspp3fx8bFBBVtVTp3MckmGAObjMWBOtDc+aFIj6Cipc93bWhGbCRyExjFLYIggN/4Z9fAieU+XLJFzwDbxQPsNTaUKkFNNC3tNJXFS9n4FVU083t57bN2wk8fvAJOrQwgCADeaBF3MDVCnXFBbFIq2glCRbOKByj9nuRmYBMP2NgaG0NgMwq1TDGd382GVGkbhlJVaUd6z9j5+viyVLYxBbHHCO/9jEZFM9dh2Iy/C93RKIbYUGVIExXN1McmimIpKZyx8Zv62KDZJFixmSNAjipajniAQGw2+VHRnko5/5ddNGM9NzUuC24LbFqErhSGcS66/8+uvQQOLazDm154ufXcOAY4koLPpKyiIJd+xb0C6+tsNTfThCqWhdjEcWykorXYXq7RMB2CAqnEKNscZAWJNtu5qQuPH18RwQIaRZ45YkPr4WY6TVgfhmLu4DPyVUWz+RSdVkOTHV5gNTYAauNjV8Rm80wbfuX1z4S5bktz1u2IDWUp2O8RE28Y6PkgNgAAN/2TZ8Hd+8/Acy/dYvx9t9WEZbA3Pu60GgB9yfqh4gGJ3HO6B9mOBSlnD5DfnBPt0q3JurLcH4nkiyb3nIHYoE1lPFu6Jpv6RGUZRWlpPazNhgbWBYD+zH2S/RUKbOyFgVm2e/O0EtjwDtlodALTz/laltyzrQ6DRu8SWfLbUDjf1pb5zjK1H0/D+G8AUGSeZ7stEtgYUCilM28JxIbUY6DRrDA68JQTnpX1yOpj02abCv1bIjZqthnHZNbke8N1l1p/x6lupoZYlEpgkhNGow73jILY+IkHzE+14dd/8hrrNYtrYZn7IAjE+8ji8VIUDmsobEhjoyGLSmmmU4GxCf0xqzDd10x1BgkVTR3XyqLcCEifoVigXthYTophDIxUGvxOyns/s8qoaIYMtleNDXPufINAgdI0ZSaPUujQ1odqkBPHscK/Njbo5DU2Pd2p5e+F9uQQSHwmYmPngtPmnHsMiQgA4nCz94AZZKQb5hlvPmsKWAGS+6U0jzx0f9tcF371nzwr89y2oEEoOm1QDyhORds214XDiz1YH4YQRbEIoEw0qyy552EYk0Jzs4/QMVDRbOgzNVzXRmEs1uUigY1NUltBbCyqaAByXeBUNN5uwWR5iA2AdNCpqTU2MkEzCv39ExTs4SabpavPlCbjsnyGLQyh8amxAQB49TN2wqufsdP6e1v7C/77lfS9dNsqFS3K2INMTXldmnMCJM/rki3TcGhhHb53ZFn8zOR/UUMfCi0TsWnQwEZPvGUZfVZhFOciLbQ3UpZaq09gU9zTHLMVQWwAJByPJqlouiKQIh5QlIrGIG+fGptRGJPB7beA8gXXVquQZSr0akds6KZD/20KjCgVrUxgQzvnxrHeEwH5ovS1ZS2+890W4J7NFx6T/KSgorE+NkLuGdXRCt6jECfoh0rxu03QggbiWh+b1DGabjcVuoKNM8zVsnyNPmeOiGaru0hBCFFjk1GXQAMFNHONjayxKJtxBlDHB9Yd9Ue0QaeNiiYdAqSR4eaLQd3i+lBk/EziAVSpSBMPGBkCm4x3qfX2YGuGb10hb8pJ/21DbKI4eWcho+Fwo++SNnClxi+XntuFMsOb0FE7vToQ93DxJnNTRpvD7R/YpPc6wp4RWYiNDBSKovvUbHLPCCaUFQ+wqaJRWgxF8dYMhfG2awRQ54CpjxqAngkGcJN7pn2xilLRADLqmEI1uKfPWmENsF42skl2/rVk9YhBM1LRjIjNxtYuSlU09m5oP68MKhpHaHxU0Vwsq8YGQM47zIt0m5KKRpMrWXL2dJ3MU4+lhmvL908ktZt6g079nEj9Rsui+dH3i3PSlXFD13OXOhuxVmcE9wB+VOnqBDYFamwA9MCmwxwvtFajAQ0C9RemonFak4LY0EVGD6IS8QDsTeC3cEwzlZdCNTY28QAt09s0/tvUR2BI+i1kLVJ5hk0t+6NIQM+4qbWbMjvezJgY1BqNAOa72BjU/s5wnMywzYUXBopxUzAgniYQNqUFdBVYntxbq6E8Y2rrhJoxbUFsXMQDXM0UfOHzclF3ObUyyKWiARBHg1LRMLBpNYi88sYiNnSRRypZbxgRGqQ6BgDURMkojEl37OT+Nk+3xecPLaQqNUqDzjQbSJyh1YFsNDwK1Q7u8lrtz5uPTV0VrRgVjTpM+G9bH5vk/2pgY1YNkvTc9WFo3CCt3cAJFTGzj02GeACiNdvnOtYNfdbQX2UwiuBASkW7yjGw4fPYhtioNTZxYXSf2qzIMCf3cP/BRXjXZx8WBdFlEwN4b3GsBi5bZzsisYQ/WyPjREFsOuYAEgBEfVoQZCRuWg3tGbkgL7gvrPbl+HNRIuMmVd3MzUgBsK7CTKPGa8V5hAGeS41NoyGL4G17k2lfFjU2FopvUXElaqKPDTu/ithkiQeUQ2zyTFGJzVA2Q+uy/dblWJN4gEsCGAMbHEO8xsZIRWOITVZwT31sRApd/QR6vw8eXoJ3//33xHpiMlz3EkEkdQ+l5pMYr05gU0AVDQBgN6ERBIF86DxaxYUPJ2xRB5W/fJNsMv9+Wo+S15vAZpRv22oETlA7NyXjZam3AeA0ATNiQ9EEwR0tsRjOdKQQxMm0IReVNUZT5J5zNnx0ovn9mVXR1KzbkDnOgopWMEiYJYhQnzg2NsSmo6humWtsOBXNBq2XeS8A6vPCc2BdwsXz5mw3gAxsji/3hXOYRaE0NSQdGmDsDZd7Jt+B97NOAlAcfzoVTWZ8ZXfsZPNtNGRneGyY1jUgNtwQtTH1OcHz2oyjiXofG79x0DE4TLSxKJoe2IQaDUe7VuJMYfa4RZIRAAYqGkVsIpkFtBlX7KL25KkEdTHVw6Hh2kfrRPafXoMoTp7tjoyxT43TUvo28YCA1NhEcaHWANzwHnD+3fKFR+H3v/IEfPaBo8k5S3oIPHuLTtJctyX2KE6xarAgRVzjQA9sKE1GaZStiQfYnWeb4fxdZP3bfE0Iw1iU51qNAILAXmMjqWjJvQrxAMcgK+nDZG4zkJwrD7GRyLPLvHI1XP93sNoPU4LHZByx2ejABs+N74cbX6M7zSS44OtZFiI9MFDRfAIbNI7YmFgY/DlnBTb0dn2paHRd/s3PfQ/+15e/D7/7xcesnxfBco4ysY9vVZkaGwxEGgE4KTOgUQWqNuGC88Ip6piuD0NvxER+D3OSqSoapaIZFMiGlIrmKx5AFupN022vZ4Sm1nCYN4nkXGYqmkk8YBTJ4s6segsX2z7Xhf2n1+DUSh/2bp9VZI3RVCpa9jPcPN2Gg2fWNZRN6WNjkXsO0/eEi1ZZxAbFCUZRLDauJqnT4NfFqU5oUaQKKuC76rQaSvY1S33E10y1aW958eWwe8sUvOIHdliPw42WOg5ZFEpeiwDAa2xws4i9ZUmzjM5bLPqn12xu0CkRpPVBKOow6Ga8fa4Lx5f7cPBMWgCqNMg1z5Uza0O4eNOU1u3edK3c+NpUFrERvWsMvTJsfWwAko1SQbIzVYNi2bx1ug2dZgOWyfwwXc9gRMQjXMQDYtCKXO9+agEAAJ5jKSwGMFPRBA1tx6zzGswTFIhEB4GkuQDgeiDnwNCx2DjLRPPLFAU4kYpcHFtKEKvyNTby+JAgNtOdZG1aG4QGh72lPDsRQBoQG9kMVXVyeU8YTe7ZiYqWHINocqfV8A7+AWgtFq+x4XWa5jUZA8D1QQhDUrPqqrr3oZ9+ARxf6sPFFhEM0/hZWE8SKO2WGbEp8hy43fiPfwhe88yd8Kofulj5uWuNDQ1kGoHaUmEjDAMs25qqqYG2E/9ypt0UaxRAdo0NXScxoekyn/fu4IFNU9k/XMQDspLf9J7XvWts5LHfO7oEAAAf//YB+PlXXw3zhsSlZF0ERl9Cfu95jNj4ZmApFa3b1DdgtJaG2BRzwrMbdJoRG9rvYjAqBvXSYKMIDQ3ALvfMJ8kcyRTZqGg0oEOnriwywJt0rhvUcBrK5pCD2KSTLKuPjY2KpqmiNctRGOlijv0E+EKiN+hsKNcCwAQVCGLDv2tDqWgkCYDzdKbTgtc/Z49xIUPbOtNRnv1Uu5FJPaAS4mhUxp2KKWwkFxwd4CTrmWwOtOcDbigchcXxR4vL6dxEasDR1Ik09bHhJhAbS1Y/a8zn9rHxVUUzoNsSsTH3rgGAlFomKUQmuhN1pmjzVpqltiI2tMjZQTwAQDakRLvnwBkAALjuii3W4znaAQCkX9Gc9ThuFLEHkA7ORSwDrdfYbAQSrgZniCyiil+RBBk1+oxHkewHM9NuackiDK64wy7kng01NhLptTebNauiuSM2WN9VRDgAgI4Ti7Q11mlaAhtKRaPy2K71Pj+wcx5++Ort1t+b1hpjg05SY7MRiM3F81Pwj5+9W/MvpghSkhVA0ZqaLTOdDamnpIbPxeaL6YhN8n+OBhprbExUNBQDcdiPOc2122pa/Te06U6TtX9wo6KtD/wSKI1GIBAfFH1Z7o/gL75z0Ph5Ks1vYzj5nB+gUoENIja+gY2kEtAHwxEbGdCUc1C1Bp02uWelmRKBegvSCxTEpmDmwkSPo9eHNusgHkARL8y0lREPAJBO5YmUioaUjWlL7UjeM0R0QO9jI/+vU9F4jQ1DbAreI+WBo3OhcXg18QDpyKPR7DhFbEzy5vTcZUyhonnUUVE6FkC+kp8JoaJSkbRWbSOpaPhuKX0GN/5OUyJhfOzxTXnTlCp5ioE6XqtJPIAb1upYe51k1diw7+SOUVYQkPV9dC2bMiE2A47YRKI43eYg0T42S0RYYjaLioZB1TCSVNGMYI1u3qGSHAjhwUNJpvG6y7daj58zUNEEYrPNTeoZwI7YbGPUoWaDq6KVp6LNETQhjmOhvHcqldUv3aCTPeO1gaRRcYl7DFJ4ACFrVHTEBpuhzvHAhqkrNVNVRTQnVbT0ueJcL0JDA5AJBI448eSLsn4YBGzWBqGg43WajdLrNpopMMZkRIcxA1xk1MvatCUZx40iNhstHEDPb7tXXuSPex8XdTDW2Bho1QMPyv4lW6aZP9nI7WMDoDYHz5oDNEjE+enTrsN0zx/5+j4j7VeRe86okT6vVdF8F1rapJMuBI2GqoLGHdOiSlFaIbqNimYo1B+EMVHG8Hs104yKVsTyGnSizRhqbBqBOploxgwzVWXEAwDkpETJ53WmSpVch/kaTIaONH9nHcOmIhCbdJLzzBU6lGWyp3guDGw0xIbW2LRkNosujqKZVrqZ43XrNWUkGNnAwMb3/qlSS964FQ6gIvcse3nQ57GhiE36HZum2uI5orOjzJmWOtd5g9itTJUmi/Nse44SsSlQY8MRG8bR90ZsMLBRVNF08QCu8rU+CDUaju1aaY3Npum2UjDNH5GQmlZkae3jkS4PVEDggUNLMAgj2DbbgcszetHg3KIO9xMnJBXN1XiCAt8tDfqRgk2L8X2oKzbD9TuKk+wq3gsikmWpaCpiw6loKmJjknqm/+e9dgAoFc0e2PD6WQDXwCZQzsGpm65mQvYAaDNS9G3oOiqvn6qiYXBURMTAZnT88LowSuOjfWw2QjzAZkJRM+cd0cBmo+trkvMjcmRBbDgVLV37+NjKqiFUqGgevl+r2YDLSfJkqtWEIJBCEbb3Q+us8vZ9vG7aoNPV6D0/bccsXDTbgYNn1uHWB49qn6WCFFz0g5pPeUh1AhtDA0YXwyadAPrLNjnyArkpjNiQ4InRLHBToiIG9JiRIh7gd590wy/SwwaAF/+T69bEA+TnZoXj3GTFm3rEX5aKtoNR0XqGju0qnJ/9DJ+1ZxMAADx9h0obMW2AQrUM+3AwVTTT5ulruAEukK7P1LQaG5G91REbHNtPu3gOWo0AfuDieeW7XBuZulhRxAZA3UjzKJSyYZ65xoY+jw1VRUvH9abpthhrIrBpmYMRk8QsV/HhGXlTg07x2dTJRcQG3zO/Pa8amw3qY2O6bhNigxz43ijMrYFqi++JCWLTVhEbjarQFOfmcuwmo/dLM4n37E9oaNdevjWTioXONJWXRtEBLypaQya2ACQSTQMb/MxMtynuCRuBlpm/1Ak7vLCu/b5kXKMUxYdRLMbCbKclxh/+zCZjPCPU53SU0hbYtBv6mKTz00k8oMEQm4JUNBOyB6C3DHCpsRF1SAVkp21G5y8Xy+Byz1Sa92yZS6sAAIAts3K/8G3O6WI4Xmz3yvc6rggKYK8Jz1JFc/U9KR0NE26iWbTF90HWS5fV3JoMf+1bYwOgruvP2L0Jfur6pEnwH3xtn/K5OI6lIAWhbwNkizrlWXUCm4KIDYCko+nUHr3YvXxgQwMC9TvQCdYVXMpT0TYCsTE1DTVdC11UcRPiVCe6oWEmrrR4wLyUBwYwIzY+DvtbX3ol3PH/fRX88+erjTPbhg0Q7zmOk4BKZq4QsSlHRaPnkoiN+ry0GhuR6dURG9wML9kyDd+48dXwgZ96vvJdNoW+Ilam/xMtaMyjUNLeSGiUjiM3i3hjqWhNRGxaYgxj8GmSOE/+3dA2F775ap2gM5rpoQoOr7G5aFb9jiyHg49NzRn0fHdmxEaiaqO0Bw0quGFWtTeQqmi2y1VrbKR4AEWZOJpAG3QOWTbcZBTdpU06796fX18DoAaGa/0QVvsjOJb2Hdq7zR2xwRo10aBzhH2oJPUR/YRuqwnP2J0kZB4/ntTzlJF7bjQCkZxCEQtqG6kqOIpiEbxQxGZVqKKZe8XY+sAASBSE1/JRnr9IWhqQ+CzD52qjyLkar2NCc62xoYjNqqUOqYx1sgKbVqBQ0TYyYWQzXFPzHOn5bktcB08abYTh/msLErpsbcHrpcieNXHD6urov1330L1KYKMyM2y0YvShXMQzcH2UfWyKITZXbZ+Fn3rJFdBpNuCup86I9RUgmQO49FIBIAD92fHnnXntzp+csInApkAKCREbXRlFf4im7I6PqRQu9VpFgTmnqxEqmg8cSU1BbAo05wSwywHrFBY9sDENelx0UCGkvHiAbNIJQJ14+b10QuVRa4IgMHYVN6mi0Y1wbTCCkCvalAyIAeQGaBUP0BAbPetjQrF2zHcNMuR2dMDX2gbxAFej0Hg+FU1HqCg/lyI6I5IFKmu4wG+ebovCVszi0uesqqLpiA2nS+iBjR4goOEmhkEvBvVcwjXLkefXw7PW/qpoOsWX/nuQ9tpBZwgDOwWxsRXmmmpsptUaG2sfm5Fbh3RFPIAgNqiIllVfg+fDNW1lMBL1NdtmO7DZI4Ms5vEIqWhSFAXvl67H112+RTm+LJUUz4Gy49Q2skYt0hAbiUQAUCqaucZmfRhqHH1sbmtSxGozejAdCz59bOQxG0tFE3RMVNa0KFVOk+eEQeCGUtHIufZsmdJ+p/TZ20BVNJtNC8Qm+x6DIBC1NWcFsfEQD6AsnBlLopUal3gH8EdsKCosFCqx9YCFtrU9RYFdAvsyVDS6l+zdMQsXz0/BTz5vDwAAfJigNpRW3iI+DQBoEu0+zc8rFNhg5qp4YMMfjOKUsKCjaAd5tUkfR2yS33HkwkRFKyceUJSKRh0UeR+88FINbCQVjRs+S6QLlK2xsQU2CmJDAt/CvYjIcSjD3GgEShGnporWCLRjfQ03Trt4gEp7ko6+HbGx2blCRdumIDauVDRSY0NUBOlmEQpEYOMyzpum22LumhT5VCXBQAsUeIGrFtjQ98sDmx0Y2KjiAVtnOgpdKCs4oY5TEOh1V8VrbMx0vMEoUjrDY1Z1fZAv7mCssZlqK6o+/N0KueeQzk/7eOSF7YtrQ3jg0CIcXepBsxHAcy7dbD0WjUo+C+EAx8acaLjXIMpEkxP4/fQ5XXeFGnCVnb+4nh8yIDZlVdEA7IjNNBNkoXLPpusD0OtssPGfCcHgSpWK2qUTFU29dxf6mslsVDROx1QFXeS/xb4zDK11SGWMzt88Kto4xANkjU3+uMY15ewgNsn5rQInDKnGuUKDTtv6RqXp0WSDTrdxloXY2NY9idjkP9umhti4j3963xiA/buX7wUAgM/df0Q0MaaIVZIMpP4bp6K5j7nKBDb4IgohNulk5VCWgtggFa1VzkFVKVwMsbE4v3hOmhGZBBXNhtgAqEGaWmOTgdik938iLfYvi9hsEzU2Kh2HOvGNjMDS1dQNkAQ5pNg1xD4ZbFPaCMTG9rx43ZOJmtUzONwmUxaQkhnfMrQ26tzn1tgY7lfU2BBJ19EGy5KKwGZKIjZoqlOvjj2+qemIDauxsaiiNQIQReycipZIeNpRDGqcMsjflW/PHxO6Te+7P4qgN5A9WXBd6g3DXEqL0sdGkXu232vXgNhkOWB0rfjb7x6Ba//HrfD63/saAAA8Y/e8U4Z+ltCkCgc2rHYMxRa6rYZ4t/Q5cSSpfGCTQUXbAP9VNhWNBDozQ6Rn14aJs75mqbGhTQ+55DOyAbgqGj2vqem2S8aar4tcHt3V0NFF5Tm0TFU0w7X2BjKw2cgaG3qfnMGQNDelSLhspni2bNqxxgZAIjVnQzwAn4tLHxu6D9Akc37iRm/V4Fxjs8MU2KSITU6NjQsVDV1tnLOFEZuUlvtDuzbBy6/eDlEM8CffegoA1L2cK4lm9RfMs8oENj+4ax5+cOc8/ONn7/Y+9oefvh0u3ToNr33WTuXnSo1N+hD/P8/aBZdunYYX7b2o0HVmcQQlYvP/b+/Mw6Oq7j7+vbPPZJmEhGyQjS3IDrIFUNawCAqiomURRFoVhFZ9XdAqYBWKr1prccEq4NsXd8WiVSpF4XktIkhFeRCxKggWwhJCErIv5/1jcu6ce2efubMlv8/z8JBZ7p1zz7n3nPPbVRtWnfMm59rJQItNJWhRx8ZNzBFHYcUQfmtQfioK0mxux2Vqv2w5RWnnVCsG+nDt8AV/KC/WN6Gusdl9jI2HBAaB4C4rGiAkEGhoctk4j+yWjk4pVoy/RFlsLBD4GO75sQwAZF96jiRJuLJ/DoYUpCIz2eLcELlJHuBr4vKUoS8YJMmZYTBQi43SFc37Pe/OFU2MsREtWOrkDqEwukdH5NgtGNczw6VflcoRQamhkxT9Ari6S3RIUFpbPFk+7FajHEjutNjwOAy9Iu7E36xoJr1OkWXL0f7AnpfLu6c7+kV1z4sChthO7jLqqGPjw2LDrRhNLYoCnYn+uqKpYuA8wc+x+4dzaGGOxdxs0OGGIXlej+OINVZOVTjqEXVKdXVv9QYfF8YcWnzRYsOvVxTCOqdaFQqBUBUT/Br+4yZ5gDYxNq0KByErmjtXNJ4cQL1plyRnHJC6yKU3VzT+PKoTAwF+uqKps4EGKUzwMWRMabVRC/c6yYNgI8bYcMEwDFnRzAadS0ITh4uv03rKhW8t7gtPDC5IRW4HKyb38b3Xm9YvB51SrCjumqZ5O2S3Lj9c0cS/xfvEo+JGti67s9j49zxnJJkxvmcGRnZLk9eWKX2ykZ9m87jXGlLQAflpNkzxo2/5GHPX+ED2pNy9Uu2WO31AJwDAVycuAHAqc3RSawFiUbhXu6IFUFsyoCf1ueeew3PPPYdjx44BAHr37o2HHnoIU6ZMAeDIcLBq1Sq88MILKC8vx7Bhw/DMM8+gd+/egfyMW2wmA/5+x+VBHZvbwYZP7x3n8r7SjcTRoTcWF+DG4oKgfgdQbg7UGwU+aGqTHn9wquubZMFG7abiC4XFJtg6NgblxkdEvBZRo5aeaMbOu8e6Pd8jM/rikRl9g2qLO5ItBpj0OjQ0t+DcxXq38SSe/JQDQdwMiYINX3BrGppdXGkG5Kbgn/e53mOBwMeQb7BuLM53+c6ffjFQ/tsgbIhaWhh0Osltn7jDWwxVMBj1EhqaEXBh2/QAXNH0ggKAo4ixEa6DWzS0sNiMKcrA7uXjAQB7j55XfGZRZBJ0/j5vq6G1XwBXdwmDXodUmwnnW2uGeCrQmWozyRrJC6oYG7ORa/Xr5XN6Qt8aUM2Yc9Ew6nVoaml2ab8/DC7oIPeLiNmgQ01DM+qbmsHXbYtRL19ffWOzS4yaGjHGhl9rssWAi3V+1LERspT5skLpJQnNYHJCkgeuuASLLuvi9RgRscYKd5ENdO4W56zG5hY5K5rFqJM3sOJ9LEkSBuWl4KNvTgPQzhXNXYyNFq6csgtpkzLds9oVTbZGuNm0J5gNqKxrcgnAv+jFNUtdwsHoxr3La7tV63ewrmhWo15+7qobmuT+VgsJHmNsBBfocLii8f5JtZlgNRpcPnOXlCWUhBW+6Jxqw//d499aOn9EAeaPKAhLO+R0zx7r2Chd0TiKrGg+rD0NTY4EK5IkOZMH+CnYSJKElxYMUbx325iuuG1MV4/HdEwyY5eH/Zoafl+ernIobAKZ1/i8q7Zed221Mh0755hr1KEXyj2osu/unVyENX7+fkAzYufOnfH73/8eX3zxBb744guMGzcO06dPx6FDhwAAjz32GJ588kmsW7cO+/btQ1ZWFkpKSlBVVRXIz0QMi8JCoY3xSp25SkSvcx08wDnhnm51QdLrJKQEaHWxae2K5sVNJViTfKhIkiRr+M9dbHAb56CsYxOkxUZwXTC40Zy5i7HRAnEMx/fMRBdVGmo1ig1R60axNoAYG95VWhR64xvlUNI9+0wewH31FemeHeMgxhwBTouGXuMFWK1NU9aecbUWiveHO3cJ0WLlqUBnis0oCDaNjkxjwjh7c89So3bLEftMKy0sb3tdY4uinVYhPqmp2YfFxl2MjTormupWUyYP8G8Dxqc1XpAyUJeWBDl+InjBRlwnGpudcUkWYWzV/STG2YTq4st/g1sDRbSMUROD5xPMeiEpgHdXNPE9dQB+lbfkAfK9rnRJA/yLsXEpTB3kuuewOCmFOMBdVjT3ikW+7tQ1NnuMQwoF/lspNqOLUClawiOVPCBWkOdIT3VsPFpsfFvQxfHle4lACnRGAv7sn64MXLDhz7xasOGvSyvrUF3fpKhhA7hmFhUJJN4voB688sorccUVV6BHjx7o0aMHHn30USQmJmLPnj1gjOGpp57CAw88gJkzZ6JPnz54+eWXUVNTg1deeSWQn4kYiuQBGi3qCouNOiuabLFx74p2qtUVIC3BFHCSBK1d0dSTOl8czAbXiuqRRCzS6S7GRougeD5JqeNU+KSvyIqm4cZZNGEvag2084Y44TapamD4ExyoRcIDuS3cFS1AIUms1eE7xoa73jmutblF1CAqU0XyeyPUAoNq1JYwT8oAdfp4wH11bHGx8OSKlmozycc2tTBU1TcpXA79WUjV5+XKFG+FeIOFX0eDYG0xG3Vy4oW6xhY5vbJfMTa1zhgbUVPtYrFpHYv6ZiHdsx8WGwAoaxVKUhMCmzudG1ZRsAlMOBLHoKmZyYU3zQYdEk0eBBvB1SRUxYQ6C5mIlunSeawU4FAq8nnbV/IA8b0aVYyN02LjOm7qZzDQAp3qe8caQlyLmGSC4zXGRrAu2QRXtBrZXU97V7QUm9HFKqXOvilnmwyjK1qswJV0gcfY+FY0iePrjK0LveCuljizojna1THJ/3mN3x/qQsUpNpO85h8rq1Z4XAAqd+4Q+iHoI5ubm/Haa6+huroaxcXFOHr0KEpLSzFx4kT5O2azGaNHj8bu3bs9nqe+vh6VlZWKf5HCrEgTrM3NpMyMpDwnv2HVkyof1NKKwCVjjs2slzXwgVp71O1ztEntiuZ4raUJPBjShSKd7rKiefJTDgR+PvW1cjN9TUOzXwUAA4VrHft0SsYwP2K8RCGat4drMP1xm9Ai4QHHGOS5jHqdPNH5nzxAaZ0CHJOgOBZc6631AqwWGMUMh+7i68QxSk1wXRjErHDiucX4nBSbCRbB4nGhulHe/FqFOAzA90bU22ZPq0xHsoDhxWLjKwaKt6u8ukEOEE+2GL1uGvjmor7Rv+QBgNNVhNfKCTS7ktOS0IxzVQ6rT6Dzt2g9VVtsbG6yogFAv852+d72R4nhDW+FWoPJQqqGn0+em4x6R/0cs6pAp1yjxY0rmocYG28WG/X8Jlop/Vkb1PdOKMKEmGSC4y0rmsK6JLiiceullhYbLjilJZhd4puMesnpitbEnOteGF3RYgXeL568EMS535Mrmj9CERccAk33HG7UiqO0BP/nNX4NXdwkUuFWm6PnquU13Cg8m5xQ3B0DfjoOHjyI4uJi1NXVITExEVu2bEGvXr1k4SUzUxmgn5mZiZ9++snj+dasWYNVq1YF2gxN8BYsHyzeBmZMUUfMGJDjWhCy9SbgC7g6gM+/39Xh7klFqKlvVmyWAkGZFU3Zdn4tWk6owcA3DWXVDYrAZI4ys0xwY3pJdjJmD8vDwNwUxfs2N65oWgnEAHD1wE747nQVfnlZF7/MruK1cle0QycdioGuPtzYAIeGvg4t2sTYuEn96y/3TCrCwf9UoJcqWYLLb8iuaI6+/6b1WjOSzEgw6SFJjnSRjc1MzsaldZCrt+QBRjfWWqPC8uLOYiO6oinPbTI44slShVoNtRXNKK9pkDeDYq0T8Xc94eKKZtBmIRFxpl1uUSgfeF/VNfp25eTpbktb3SB6ZiUhPdGE0grPFhtu1bpQ0+Di4uAJX5nrfME34Wer6p21hZICn3+Nep1cWLROttg4hVZ1P1mMevx26iU4VlYjZ8wLFvWcntfBJmd40+LxkeuZ1fFNuaPPZNfeVlc0uUaLG8uIJ1e0i/We0z1zC6R60+RPRijA1ZIdbIwNIFj2Gvyz2LjL4FbX0IxDpyoAAN0yfM/v/jKlTza+PH4B80fkuyhdRRffxhbRYhMbm+9wMrYoAzMG5ODaS3Pdfi5m2fXkiuZp/THodbBbjaiobcS5i/XokGAKuEBnuFEPcSDz2m2ju2L7N6cxpsg1mVJhegL2/1SOo2er5eQfPMObwYM7ZqAEvEstKirCgQMHcOHCBbz99tuYP38+du3aJX+u3pDxwChPLF++HHfeeaf8urKyErm57m8krfG0KQkFcWBc61iY8NQNA12OUS++HYMUTBaP6RbUcRxvFhv+Otjqy1rBH66zVfXy5k5peRM2l0E+GHqdhNVXuyY9kF3R6pvCUoE5J8WKP7q5PzzBs1o5qrwzMMbwZWtVX38y0OkF98JQcRf85y83DM3DDX58j48nF+LkCvF5qfIcY9Dp0NjcLG8OtdYseouxcWetFfvFnfsLF9T1Olctstmgw8V6p6UnxWbCyYo6lNc0qOIwfC+kHJNqnET3M62EdLNssWlWZUVzxgrwdOmeLALqvlg4qhCSJCmyQamPTUtwWnN1bjaL7lC7KgZa6I9XGT9+3iEIWIy6oDT7Rp2EBjiywLkr0Oku1mXBSN/uqv6gtpAUpifIgo0Wrpz8vuLZ7biAwAsZ1qiSB7gTUhLduKI1Njuz7rnPitaqXFDVsfF3DdOqQCcgJpkQY2yUc5Qniw3/3ar6JlTVN0GSHMlqtCLLbsHTQlIai1En96vSFY35HbvWFvC0X+N4Th7gn6Ip225BRW0jTl6oRY/MJDQ0ue5noon47Ac6r03pm40pHjIYixabE60JS7hrrbKkRQQFG5PJhG7dHBvowYMHY9++ffjjH/+Ie++9FwBQWlqK7GznBZ05c8bFiiNiNpthNge3kQ8VRTatcLii+XlO9SQRjMZPC8xeXdEcbYy+K5qzSCff3HmqY6P15Cu7ojU2O6tGR9nX2KB3CDaNzS04fr4GZdUNMOl16NPJu/UDcN6fmriiBRljE9hvOPqab4r/9VOrYJOfIn/HoJeARqcrWrgtNp6eGXXygFSb0a2Chysx3PWb6Psu/n+hplGw2OgVtU58Wfp4u9y6ommcPKBetUm3yIJNi0+Ljdiu9ESzXLVa4XYnuZ83z11skN0bfS2O4nyhkwIvbszb81NZjdzWYIpaGg06oMExr9QLhfr4ZiKcrj/qDbsY8KuFK5qLxab195yJF5SuaO68ArgwIlpsuLbX0zF87LlmnQs4/sTXiO2WfyMEpZ5TMBMsNs1qi417Rau6vT0ykpAUZBFuf0gwGVDX6HCrNBp0itTr/sautQf8yormZS7ItlvwbWmVHIIQc8kDhPs/2HnNHdw97cdz1fLzzAUbUVkbyv4t5B5kjKG+vh6FhYXIysrC9u3b5c8aGhqwa9cujBgxItSfCQsWL8HywaIuoujfMcphCDT4VCuU8QJqVzRHG6PviibG2LimNtZrEGPjCbHuQjgsNsHANe5NLUy2YPTulOyXS5g7d6lgMWlo/fGErDlscVin/nX8AgBVILXe6e4EaJ88wLvFxtUVjW+uPLk4pbcGZLpzjxHTsIr/Oyw2Yh0b9wHm7uDtce+KppXFpjV5QFOLIsmBRYixaWH+ZUUDHGnP+TmVGeCUx4h1rviC6bOOjXB/2K3GIJK2ONp1vLWSdrBuwKJW3J3FRkuXVzVqZZUo2Gjx/OhkwUZpsRHrgjHGZDctdwJEopsYFT7GVqPe7b0rz2+qotv+uqKpzxmKKxoXHi+6jbFxY7ER5hmxSDSgVOSEA/E6jXpJntubWpyxa1pnm4xHPCUPEPvP2x4wy+6od3WyVbCJteQBolAWTNy3J3hCgSOlVfj+zEUAwMC8FPlz3mcRc0W7//77MWXKFOTm5qKqqgqvvfYadu7ciW3btkGSJPzmN7/B6tWr0b17d3Tv3h2rV6+GzWbD7Nmzg25gODF7KK4XCt6SB/hzDBBYkJaWWAw6WIw6NLcwFy0e30C7qzEQSZwWmwZ5YbB68GnVWuiwCZlt1EFv0YJPAk3NLfjXTxcAAANzfbuhAY6NXGllXcDuN+5IUW2+w4F4rT+X1+LcxXoY9RL6dLK7fEdO96zxhlCSJJgNOnkRsnio/aRX+fW7y4gGOGo2AO5doFJsJvxUVoNsu8XxndaMXeerG+QYItEVzZ/73ajSXoc1eYBQoDPQGBu71Qid5GjfnGHOYpk2o2dtqFjnitcG8pkVzUc6bl9wVzR+P3QMUiklptQV+4ynQw+2Npk/iMKi2aCT7zfA1c8+GPgYX6h1jAkXUmRhpcFReLJV1nWrPOOuZhdqnZnVuKCU6KFveBKdFKtjTHgf+++KprLYhKDUcyYPcLqi8fbzTbH4e+JcYtLroNdJ8noXaqFrn20V1n6TkG2yoZk5rYkxYlWIJp7SPScoEpx47qec1uestMKRDbdamNNjAb1CsNFuXS9Icwg2fA+Vn2ZTKIRSrCaUNtYFXbYECFCwOX36NObNm4dTp07BbrejX79+2LZtG0pKSgAA99xzD2pra7F48WK5QOdHH32EpKSkoBsYTsRNiVabYEWRLT/PGSuuaAa9DuvnDUZjU4tr2sdWrZc6a0qkkZMHXKyXJwDR8qaXrRC+3XICRfYJb2yWXU9yQwzcDRU57qTZabHxV6P32LX98N3pKnTPDP35fHBaL5T8WIYRYagAzeELrGid6pVjdxvnwifNcLjwKAQbRXFYwZVEFePhadPcIzMJj1/X320w8Oqr++DgzxWyP31WMl8I65xumCZdQBYbk6wNa31OvMQEBoucPKCpWVFXSZkVzbsrZ8ckM56feyk6JJgUi55OJ8Fm0qOmodnlWEmSkJZowqlWDSjgT1Y059+ehE9vqK0dwWo2jcJzXC9YuUZ0TccjM/r4lSUxWEQLiSO1uPNe1bKOzX9ayxlkJDnu47QEE3SSw3LxU5kjpkeS3LuK8Xn2eJmziCi3fiR5EDjun3oJxvTMwKju6QCcfeyv5UWd/txfFzZ3JAqlAjgHfr4AAOiV43Ab9hRjI0kSrEa9i9tOuFBabJzlHRqbWuSaJhnJ0dmjxBL+uKJ5m36yWgUbPl/xZyA3Nbp7Co7aFU0rLEY9OqVY5flAfT8//YuBOF1Zh8xki7vD/SKgXepLL73k9XNJkrBy5UqsXLky6AZFEk+Bv6FgCkIDGiuuaAAwukdHt+8bZItNtAUb7o7TiCQzt9iIAdCO/8PhA8y1s+XVDfJDqS5AFWn4BrqyrhHfllYB8H/h65+bgv4aBaF2y0jUNFOPO+QK5s0tcnyNOnMdf5b45jAcMVAWo15OD2z2lBVNFcPiLY3wtaosiZzeOXb0znFao7JbXRdOVdQ53ZWEzFn+pbBVJQ8wuLY5VESLTb2bGBtHOmbvrmgAMLF3ltv3LG7q7AAAKfFJREFUE8wGt4IN4FiAFYJNAMkDgrHYqOfDYDcABsFi44yxcWjq5w7PD+qc/iJeg6MYrFPA06SOTes5Tpx3zJncImTQ65CRZEFpZZ3skmJrTQWtplDwy+fwmB1PFpuuHRMV2SFlwcZfVzSDsh2hJM5x54r2JZ/DWt1weD/pJNd+t7QKNnar0W0KXS2xqQQbrgQpr2mQrUzcjao941GwUWSp9DynivN5eXUDLrQWyC1Ijw3BRlwOtBRsAMfz7BRsUhSfDdVAidOu7YlKbatWFpvQXdGCzYoWTpwxNtE1k6baTHIKUp4eW/Rv5RrGcGRt4RP+t6VVYMyhKYymEAo477F/HS9HcwtDVrIFOSltc9Fx1rER4mvylUIcH3fZYhMmwUb+2+BeOaKOX9LC3S9b1vDVOmNXTHp50+TPJjQSyQPkejJCjI3VqJc1wWIdm2B+k1sY3FkT1M+jL2FP3ETbgxgjdTxIMKn6AadCrKGpRU77GimXFFGwSbWZFAKelhYbXoMlO8WpieV//9Aq2HhSnBW0bubPXayXC33KFhs/3fTkOnJ+eh2oN6WhKPXUMUKlFXU4WVEHnQT075wCQFy7XO9ZvvYMzEvRJKGDN0Q3dJPBma3x53LHRjTJYoh6EqFYQOEuKAg2ngqGq+H3fmlFnSywZ9stIWXf05JwuaIBSoVwOFwr27Vgo6zbok1XaOGK5q6QX7SJlTo2Op2EDqoYJEWwns51w6YVfHHh/vuFHRM0d3cLFH6/7T16HkD4A0ujCX+equoacfhUJQBXbQ8ff6711mJjpkZME+853bOk+F+L2KPsFKeGr7aBx/gEGWPT+r8yE5NWyQOcm3RuWTIb9bIQWNfYjGYfyQO84c31Tq1Z9KWwijWLjajRD7Xwpr+IyqrUBCOSrUa5YKgWz4/6vhRjePjf/24VbDxtmJMtRrlvj7VuAuUYGz/XJL6GWf3sV3FdlqTQEqMkCPFEAOS0/D2zkuXPvAVN881yuN3QAFeLDVco8XtTHL/2jPh8mlXu8Pxe8SrYtPbjxfomfN3qlhhtDxARcW8TbFIUT/DrtJn06JmlfahKuxZsPGU0CgVTiBabVJsx6gHp7uA+zoVp0X/w1NoDcRwz7WbodRI6p2pvtfCWFjVacD/wf35/DgAwtCB8vvjRhj9PX564gKYWhowkMzqprFNcY861i+Gw2IiLmEdXtNZx4fdht8zQ3fR4jE1Ng6NIJ+AQ6vPTEqCTgE5+3PNqwcYkuNto1VVyHZumZtQKdWx4dqfaxmZnBfMgFEr8uXNnmVTHJwaWPCD6MTZiCuNgit0Gg9IVzQS9ToK9NXBXi6VIHUCdLbgx8b9lVzQvHgFdhPoXgHOjnWj2b9x4oo58P9cwcf22GfUhKbEShMQzANzGQ2YkWWDUS26f47w0R9sv9+AqriWioGsUCnRysskNDQBg0jv7SZ3JzJ+4R5vJID9nu38oAxAbewqO2HatXdGGFHSAJDmK1mvlAi0SGzavKBGOrGjiRspfYUldsyEWuWtiD1zVP8dndfhI0DHJLMeTAMokEBlJFnx0x+XoEIbsXGof61iYhPjk09jMYDPpcfVA9/EabQH+PPHEDWJhTs71Q3Lxf/8+J7s6hSMtqSdNnbs6Nr+d2gs3DMlD75zQnxurSY9UmxHlNY3y9VmMOmTbrfjojsvRMdG3JpW3y6zKiqZlsg13Fhsx3TNjTlfBYCw2a6/phyVju+ESN3NRWoLaFc1H8gDhmr3FQXlCPSd0TAoyK1rr5r9KSFMdqRpZYkIYLtyl2ky4UNOoaR0bjjuLzbHWwGlvyWkK0xOw99h5/HiWW2wcLmn+uqJdPzgXfXLs6Jntn4ZYbLctRE8Ffl1OweYCAGUGyw4JJnx0x2i3GfD+cP0A/FRWrYi5Cxe8XhvAY2zUgilZbADPMTaA08LmS7HGi3Tu+TEGBRthbgx2XvNE3852bL9jtJxAQWtizzQQQRQWG40WEb1Oks34/hfojH3BxmzQo08ne9j9e/1B7COjXnIRSrt2TAyLO19MWmyEjdt1l3YOKk4gXlAvEu7c7ib3zlJYccIeYyMIOeJCxzelFqPjudFKaFAH7fIFtFtGkl9jLwoygHOO0jLZhrsCnVaTTuF7zi0TwbqiuRNqAMjpkTm+FFahpnvW3BWttV8sEbLWAI4+4Pcx7wOeIU6TGBtVsUm7kMaVa/8bWy143tzKeP0L2WJTF1iMjU4noW9nu98eEeL3QkkcAChd0RqaWnDwPxUAXGMEC9MT3Lr9JJoNERFqAOW1mgRXNA5ZbBx4E2y41cvXfokLidytskvH6O8pOOKSEI59abeMxLDFarVvwUZYPLSy2EiSJGvf/M+KJvoyxl58TawhuqJFMue7enHrkh7eLGD+wO9bSQJuGlkY5daEF/Uz6s7f3KDXYcGIAvl1OAobilYaRQISD+latSRHpeEK9P735IqmZVpsMXmAmL3N2FqPA3C6EWltlXCJsfFxfl2Irmhmg85ZjFUnITnIivB8PLgVwhzBeQ1wChTqelRaFOgUxyDbblEI+WqNrTfLCFckcetOVX1gMTaBotdJsntmqAHdoivaoZMVaGhqQYcEEwrSYiMDlojoDmg0SG5c0chiA6jr2CifV56gwtf8o1ZUFcbAnoKj12BeixbtWrBRuqJpt8DycwWjGYpVi00sIWq0oinYxEJaRj5xllySKWcOaquIC6y6MKfI9UNz5WxV4SiQ7TF5QBjqYqlRbwQDDWjmfWhSuaJp2V4+rzYIWdEsvNq8URlroHU/qedPX3OweH8E44omSZI8L6QlmoK2aPNx4ZrbSCUO4HCLAhfueHFLLSz0ovAqZkQDgBzV60R/YmzOVoMxJltsPKV71gKuTNHKYnOxvklwQ0uJevIZd9hUCVFcXNFSSLABlPHU6nmY96EvxY2oqDKEKTY4WLi1NpR5LVq0a8FG6YqmXVcEulkQF1+1KwXhirh5CaVoWqCIWruOSWYkxYAW47Lu6UixGbFsfPdoNyXsiO5S6sKcIskWI34zoQdsJj0GhyGZgiJ5gKi1CyJxSKCIAfMWoy7gjdHQwjRYjXrZ2iXPVRq2l/dDfVMz6hqd2dsA54a9uiE8FhvR4i1Jvs+vcEVLCO555haDUJRSHVuLVh457YgdDCUDVzCM7OaYR/p2digLRnVPh8Wok2ushIK4DmYlKzduHRPNiqQV3mJs8tJskCSHpebcxYaAs6IFA3dRD1Ww4W2saWgWEgeEP8NZMCjrsLi6epPFxoGoaHNNHuCfYCMqqvI62GIqcRQXbOJR2d6ukweIQedaWmxk/3W/LTZi9glyRfOF0hUtchOBqdXtpKmFxUR8DQDcPq47Fo/pFncalWAQn1F1mmc1v7y8C24eVRiWfvFksRE3cGGz2AjVmIMR6q+9tDNmDMiR5ybZuhwGi019UwtqG3iMDRdsHP/zTanW/cTrXLUw/5RVuhDTPQNObXwoG4CBeSl4de9xOfYikpZoAFh9dV88fFVv+b6YOagzruqfo4nAK7qDqi00Br0OmckWuaiqN1c0s0GPzqlWnDhfi6PnqgOuYxMMjutvDlmw4cc3tzB83hooroXQGA54W016h+JE7YpGxTkdSJIEk0GHhqYW1+QBftYWExVVsbKn4PC2x6NgEzviYRQIR7pnx7la3TyCsNjE400UaaJlsQGcG7RwV38OhPYg1ADK58Sfeg7h6hdlgU5lwgA5cUg4fOCgdAMJ9t4XN6vcuqJl9jieBrW+qQX1TTwrmq71f6UrmtZjpBfqXPkzBs4kD7qghQm+GQ8lPpLfz85sd5EvhKwWYsKRKdRdFiTxPW+uaIAzBuHouYuCYBM+yznfF4QcYyMcf+5ig6IwZ6zBBRvZbVW4D6g4pxJza9+oY+JsfmZFE+/9WBNs4tli064FG7NiU6JdVxgCttg4v6d1IaS2iPigRTrIli9QsTYJtQdE7Vc03Tj4Jl3tpuHQbipjV7RGzEikxebXqYTRrr1iumdusXFxRat3vB8Oyxa36Ppzbn5PhVJAlW/GO4Ywd3dJT1Ck+Y10jE04EZ/bHDfafvE9XwWguULpx3PVkXFFa30+rCFabHQ6SWH1EQtzxhpciDMaXOcyd+PXnuHWaXUcks1PVzTRra8whjKiAc66ZvHoRdR2Zs8gMAiBcWofyVBQp1T1/X2npjceb6JII2pGI22x4RNWWw/Uj0X4M5qZbHbJDhZJeIyNuzgIc5gFG9EVTQvBxqmE0d4VraK2UU4eYFUlDyirrgcQnqx1XPHhzxhwrWQwiQM4WsTY6HQSBgpWyEgV54wE+gAsNt5ibACnQumbk5W4WO/IIBdOwYY/FwkhCjaA0urjLlV9rMD706RyVwXcj197xqxS2HB4H/pKoy8W6YyF4ucifP6MR4tNbKoMIsgto7vg5/JaTTdKcrpnP7WRkiThV5d1wfnqBpdK6oQrRr0OKTYjLtQ0RlyzedPIQuw4fBqXdU+P6O8SwKX5qbi8R0dM7p0V1WxCarcqkUWXdcG/z1Qhv0N4MuaJRTq1uPflzYuWdWxaz8nrjeR2sMrWjEvzO2DfsXKcu9jQ+rthtNgE4IoWTKpnzg1D8lBR24jJfbKCPgfgcEfb9d1ZAG3LYmPwYbERtda+rBgjuznm3U+/Pwfm8NoLa4wNX8utIbqiAQ7L3rmLjr/9caWNFj2zkjCpd6ZLghHANUaqvbNwVCE+++GcS42hK/pmY9+x85g+IMfnORaP6Yp9x8pxaUFs3RPXXtoZ56sbQp7XokG7F2zumlik+TkDdUUDgOVXXKJ5O9oy6YlmXKhpjLjFZt7wfMwbnh/R3yQcJFuM+J+FQ6PdDFmgcSfY/HpC+LPTZdmtKK9pDNk9BhCzomlpsVG2a+FIZxKHG4vz8ef/+1GOJdE6Kxrg1DD6I6xxi00ormhje2ZgbM+MoI/niFr8SBboDDd8jK1GPZKtrluObIUrmvfr7paRiDFFHbHzyFn5vXix2IhCWywLNga9DuvnDZZfi4KNOqtde+fmUYW4eZRr/bhLspPx2q+K/TrHLaO74pbRWrcsdLSa16JB21ELxRCBuqIRgcO1stEIsiXaN3zTaY6SVp1bl7XY/MpKGA0FDHWw8XWDc+XXOSlWTO2bLb8Oi2CTxF3R/LHYOP5PCcFioxUDclNkl+RIxw6GE35vZadY3FpaxYQYvlzRAGDRqC7y31ajPmyp1QGncBxqVjTAeW0dEkzIj8HCnJ4QC5VSDRsiHiDBJgzI6Z7D4D9OOOBJFkiwISINF2iiFQfB/dwtmlpsNEweIAh8s4fmuWjUF13m1HCGQ7BJS+CuaL6vSYvkAVqRZDGiR0YSgMjXsQknPI7KU/2TQFzRAGBktzT0zHL0UziLcwLOtVwLVzRujRqUF5uFOb3B5wmqYUPEA21n9owh+EIeq1lP2gJca51sjb6mlWhf8HsuOcybKk/ktcbvJGuQ5japdY7S0p2HxzzodRLmjyhw+bxf5xQMbS2cGg43Il4bwp/5lwd0ZyTHRoAs97NvS/Ma39Dnprq3UmQkWWRBzh/LmSRJsvsPF2LDBRecQonB4nDh+dJ87YsGhxv+THsaQ4KIJWjnHQbumliEvp1TMKaoY7Sb0ma5aWQhTAYdZg/Ni3ZTiHbGyK7p+PX47hgdped71uBcVNY14tpLc31/2Qdje2Zg2fjumNgrU4OWOchIsuCxa/shxWpUFKATefL6/njji58xY2AnzX6XM7xLGu4s6YHhXdJ8fvfW0V2QlWzB9AHatyMYloztBrvV2KbmtasHdkJ5TQNmDXZ/v+p1Ep6cNQDlNQ1+Z2CaOagzKmob0S/MtWDuntQTl+afwSgNksUsHtsVmXYLZg+Lv7FdfXVf/OdCLWUDJeICiTGeWyQ2qKyshN1uR0VFBZKTk6PdHIIgCIIgCIIgokQgsgG5ohEEQRAEQRAEEfeQYEMQBEEQBEEQRNxDgg1BEARBEARBEHEPCTYEQRAEQRAEQcQ9JNgQBEEQBEEQBBH3kGBDEARBEARBEETcQ4INQRAEQRAEQRBxT8wV6ORldSorK6PcEoIgCIIgCIIgogmXCfwpvRlzgk1ZWRkAIDc39KraBEEQBEEQBEHEP2VlZbDb7V6/E3OCTYcOHQAAx48f99l4ABgyZAj27dsX1G/F8rGVlZXIzc3FiRMnFFVWg/3dWL5WEfG6x48fHxdt1uJY9XGexl/L34zVY31deyyMTySODeQe0PJ3Y+XYQK8/nsY2kGPd9UOst1nLY/lxwTwP8Xatno7199rb+tzYXvcH/NgdO3YEtSbEw9j6OraiogJ5eXmyjOCNmBNsdDpH2I/dbvdr4PR6fVCLfrwcm5ycrPhusL8bD9cqkpycHHdtDuVYT8epx1/L34z1Yz1deyyNT7iPBfy7B7T+3Vg61t/rj7exDfRYsR/ipc1aHKs+LpDnId6u1dexvq49FsYnEse2t/2B+thA14R4Gltfx3IZwRtxnzxgyZIldGyM/iYdG9u/ScfG9m+GSrz1cbSOjbf2trdj46297e3YeGsvHRvbvxnqsQAgMX8icSJIZWUl7HY7KioqQtJyxjvttR/a63Wrac/90J6vXaS990N7v34O9YOD9twP7fnaRdp7P7Tn6w/k2mPOYmM2m7FixQqYzeZoNyWqtNd+aK/XraY990N7vnaR9t4P7f36OdQPDtpzP7Tnaxdp7/3Qnq8/kGuPOYsNQRAEQRAEQRBEoMScxYYgCIIgCIIgCCJQSLAhCIIgCIIgCCLuIcGGIAiCIAiCIIi4hwQbgiAIgiAIgiDiHhJs4ghJkvDuu+9GuxkEQRBRg+ZBgiAIwhMRF2wWLFiAGTNmRPpnY4YFCxZAkiSXf99//320mxY2+DXfeuutLp8tXrwYkiRhwYIFkW9YFNm9ezf0ej0mT54c7aaEHRp/97T3uZDTXvuhPc0Bnjhz5gxuueUW5OXlwWw2IysrC5MmTcJnn30W7aZFlBMnTuDmm29GTk4OTCYT8vPz8etf/xplZWV+Hb9z505IkoQLFy6Et6FhgK8Pv//97xXvv/vuu5AkKUqtihzintBoNCIzMxMlJSXYsGEDWlpaot28uIQsNlFg8uTJOHXqlOJfYWFhtJsVVnJzc/Haa6+htrZWfq+urg6vvvoq8vLyQjp3Y2NjqM2LOBs2bMDSpUvx6aef4vjx4yGdq7m5OeYnwHCOP0HEI1rOAfHKNddcg6+++govv/wyvvvuO2zduhVjxozB+fPno920iPHjjz9i8ODB+O677/Dqq6/i+++/x/PPP48dO3aguLi4XfSFxWLB2rVrUV5eHu2mRAW+Jzx27Bg+/PBDjB07Fr/+9a8xbdo0NDU1Rbt5cUdUBZtt27Zh1KhRSElJQVpaGqZNm4YffvhB/vzYsWOQJAnvvPMOxo4dC5vNhv79+8e9NodrpsR/er0e7733Hi699FJYLBZ06dIFq1atcrmpT506hSlTpsBqtaKwsBBvvvlmlK4iMAYNGoS8vDy888478nvvvPMOcnNzMXDgQPk9f++JN954A2PGjIHFYsH//u//RvRaQqW6uhpvvPEGbrvtNkybNg2bNm2SP+Oat7/97W/o378/LBYLhg0bhoMHD8rf2bRpE1JSUvD++++jV69eMJvN+Omnn6JwJf6j1fiPGzcOt99+u+LcZWVlMJvN+Pjjj8N/IWGioKAATz31lOK9AQMGYOXKlfJrSZLw4osv4uqrr4bNZkP37t2xdevWyDY0zPjTD20Bb3MAf75F3GmvH3nkEWRkZCApKQmLFi3CfffdhwEDBoS/8Rpx4cIFfPrpp1i7di3Gjh2L/Px8DB06FMuXL8fUqVMBABUVFfjVr36FjIwMJCcnY9y4cfjqq6/kc6xcuRIDBgzA+vXrkZubC5vNhuuuuy6uLBdLliyByWTCRx99hNGjRyMvLw9TpkzBP/7xD/znP//BAw88AACor6/HPffcg9zcXJjNZnTv3h0vvfQSjh07hrFjxwIAUlNT49ICPmHCBGRlZWHNmjUev/P222+jd+/eMJvNKCgowBNPPCF/tnz5cgwfPtzlmH79+mHFihVhabOW8D1hp06dMGjQINx///3461//ig8//FCeG3w9CwCwdetWDB48GBaLBenp6Zg5c2YUrib6RFWwqa6uxp133ol9+/Zhx44d0Ol0uPrqq120zw888AD+67/+CwcOHECPHj3wi1/8os1JsX//+98xd+5cLFu2DN988w3Wr1+PTZs24dFHH1V878EHH5S1XHPnzsUvfvELHD58OEqtDoybbroJGzdulF9v2LABCxcuVHzH33vi3nvvxbJly3D48GFMmjQpIu3Xitdffx1FRUUoKirC3LlzsXHjRqjr5N599914/PHHsW/fPmRkZOCqq65SWKZqamqwZs0avPjiizh06BAyMjIifRkBo8X4L1q0CK+88grq6+vlYzZv3oycnBx5cW/LrFq1CrNmzcLXX3+NK664AnPmzGkXGt22hj9zgDc2b96MRx99FGvXrsX+/fuRl5eH5557Lowt1p7ExEQkJibi3XffVTzPHMYYpk6ditLSUnzwwQfYv38/Bg0ahPHjxyvu+e+//x5vvPEG3nvvPWzbtg0HDhzAkiVLInkpQXP+/Hn8/e9/x+LFi2G1WhWfZWVlYc6cOXj99dfBGMONN96I1157DU8//TQOHz6M559/HomJicjNzcXbb78NADhy5AhOnTqFP/7xj9G4nKDR6/VYvXo1/vSnP+Hnn392+Xz//v2YNWsWbrjhBhw8eBArV67Egw8+KG/658yZg88//1yhBDt06BAOHjyIOXPmROoyNGXcuHHo378/3nnnHb+ehb/97W+YOXMmpk6dii+//BI7duzA4MGDo3wVUYJFmPnz57Pp06e7/ezMmTMMADt48CBjjLGjR48yAOzFF1+Uv3Po0CEGgB0+fDgSzdWc+fPnM71ezxISEuR/1157LbvsssvY6tWrFd/9y1/+wrKzs+XXANitt96q+M6wYcPYbbfdFpG2Bwsf87NnzzKz2cyOHj3Kjh07xiwWCzt79iybPn06mz9/vttjPd0TTz31VASvQFtGjBght7+xsZGlp6ez7du3M8YY++STTxgA9tprr8nfLysrY1arlb3++uuMMcY2btzIALADBw5EvvFBoOX419XVsQ4dOsh9wRhjAwYMYCtXrozEpWiKOBfm5+ezP/zhD4rP+/fvz1asWCG/BsB++9vfyq8vXrzIJEliH374YQRaGz6C6YctW7ZErH3hwNscsHHjRma32xXf37JlCxOX62HDhrElS5YovjNy5EjWv3//sLZba9566y2WmprKLBYLGzFiBFu+fDn76quvGGOM7dixgyUnJ7O6ujrFMV27dmXr169njDG2YsUKptfr2YkTJ+TPP/zwQ6bT6dipU6cidyFBsmfPHq/385NPPskAsM8//5wBkO8RNXzdKC8vD19jw4T4/A8fPpwtXLiQMaa852fPns1KSkoUx919992sV69e8ut+/fqxhx9+WH69fPlyNmTIkDC3PnS87Ymvv/56dskll/j1LBQXF7M5c+aEu7lxQVQtNj/88ANmz56NLl26IDk5WY4zUfsb9+vXT/47OzsbgCPoMF4ZO3YsDhw4IP97+umnsX//fjz88MOyFisxMRG//OUvcerUKdTU1MjHFhcXK85VXFwcNxab9PR0TJ06FS+//DI2btyIqVOnIj09XfEdf++JeNVEHDlyBHv37sUNN9wAADAYDLj++uuxYcMGxffEce7QoQOKiooU42wymRTPRTygxfibzWbMnTtX7q8DBw7gq6++ijvXi2ARxzwhIQFJSUlxPRe2R/ydA3ydY+jQoYr31K/jgWuuuQYnT57E1q1bMWnSJOzcuRODBg3Cpk2bsH//fly8eBFpaWmKdfHo0aMKzXxeXh46d+4svy4uLkZLSwuOHDkSjUvSFNZqxTt69Cj0ej1Gjx4d5RaFl7Vr1+Lll1/GN998o3j/8OHDGDlypOK9kSNH4t///jeam5sBOKw2mzdvBuDot1dffTVurTUcxhgkSfLrWThw4ADGjx8f5RbHBoZo/viVV16J3Nxc/PnPf0ZOTg5aWlrQp08fNDQ0KL5nNBrlv7mfcawHS3sjISEB3bp1U7zX0tKCVatWufWJtFgsXs8XT5lDFi5cKMdIPPPMMy6f+3tPJCQkRKS9WvPSSy+hqakJnTp1kt9jjMFoNPoMnBTH2Wq1xtW4c7QY/0WLFmHAgAH4+eefsWHDBowfPx75+fkRu4ZwoNPpXFyR3CXFEOdCwHFPxPNcqMbffohnfM0B/vaB+vlXHxMvWCwWlJSUoKSkBA899BAWLVqEFStWYPHixcjOzsbOnTtdjlHHIInwfomH+bFbt26QJAnffPON28yA3377LVJTU2Gz2SLfuChw+eWXY9KkSbj//vsVyiq+wRdR3++zZ8/Gfffdh3/961+ora3FiRMnZOVBvHL48GEUFhaipaXF57OgdmVsz0RNsCkrK8Phw4exfv16XHbZZQCATz/9NFrNiTqDBg3CkSNHXAQeNXv27MGNN96oeC0GX8c6kydPljep6tiYtn5PNDU14X/+53/wxBNPYOLEiYrPrrnmGmzevBl9+vQB4BhXni2svLwc3333HXr27BnxNmuNFuPft29fDB48GH/+85/xyiuv4E9/+lP4Gx5mOnbsiFOnTsmvKysrcfTo0Si2KDq09X7wZw7o2rUrqqqqUF1dLStwDhw4oPhuUVER9u7di3nz5snvffHFF2FvfyTo1asX3n33XQwaNAilpaUwGAwoKCjw+P3jx4/j5MmTyMnJAQB89tln0Ol06NGjR4RaHDxpaWkoKSnBs88+izvuuEOxOS0tLcXmzZtx4403om/fvmhpacGuXbswYcIEl/OYTCYAkK0X8cyaNWswcOBAxfj16tXLZS3YvXs3evToAb1eDwDo3LkzLr/8cmzevBm1tbWYMGECMjMzI9p2Lfn4449x8OBB3HHHHejcubPPZ6Ffv37YsWMHbrrppsg2NAaJmmCTmpqKtLQ0vPDCC8jOzsbx48dx3333Ras5Ueehhx7CtGnTkJubi+uuuw46nQ5ff/01Dh48iEceeUT+3ptvvonBgwdj1KhR2Lx5M/bu3YuXXnopii0PDL1eL7tU8QmJ09bviffffx/l5eW4+eabYbfbFZ9de+21eOmll/CHP/wBAPDwww8jLS0NmZmZeOCBB5Cent4man1oNf6LFi3C7bffDpvNhquvvjrs7Q4348aNw6ZNm3DllVciNTUVDz74oEv/tAfaej/4Mwfs2LEDNpsN999/P5YuXYq9e/cqsqYBwNKlS/HLX/4SgwcPxogRI/D666/j66+/RpcuXSJ4NaFRVlaG6667DgsXLkS/fv2QlJSEL774Ao899himT5+OCRMmoLi4GDNmzMDatWtRVFSEkydP4oMPPsCMGTNkd2SLxYL58+fj8ccfR2VlJZYtW4ZZs2YhKysrylfoH+vWrcOIESMwadIkPPLIIygsLMShQ4dw9913o1OnTnj00UfRoUMHzJ8/HwsXLsTTTz+N/v3746effsKZM2cwa9Ys5OfnQ5IkvP/++7jiiitgtVqRmJgY7UsLin79+mHOnDkKhdVdd92FIUOG4He/+x2uv/56fPbZZ1i3bh2effZZxbFz5szBypUr0dDQIK+l8UB9fT1KS0vR3NyM06dPY9u2bVizZg2mTZuGG2+8ETqdzuezsGLFCowfPx5du3bFDTfcgKamJnz44Ye45557on15kSfSQT3z5s1j11xzDWOMse3bt7NLLrmEmc1m1q9fP7Zz505FIB0PFP/yyy/l48vLyxkA9sknn0S66ZrgLVBs27ZtbMSIEcxqtbLk5GQ2dOhQ9sILL8ifA2DPPPMMKykpYWazmeXn57NXX301Qi0PHm/XzBhTBI8Hc0/EC9OmTWNXXHGF28/279/PALAnnniCAWDvvfce6927NzOZTGzIkCGKRAHugotjGS3Hn1NVVcVsNhtbvHhx+BoeZsS5sKKigs2aNYslJyez3NxctmnTJr+C5u12O9u4cWPkGh0GtOiHeMGfOWD//v1sy5YtrFu3bsxisbBp06axF154gamX64cffpilp6ezxMREtnDhQrZs2TI2fPjwSFyGJtTV1bH77ruPDRo0iNntdmaz2VhRURH77W9/y2pqahhjjFVWVrKlS5eynJwcZjQaWW5uLpszZw47fvw4Y8yRPKB///7s2WefZTk5OcxisbCZM2ey8+fPR/PSAubYsWNswYIFLCsrS77OpUuXsnPnzsnfqa2tZXfccQfLzs5mJpOJdevWjW3YsEH+/OGHH2ZZWVlMkiSPyVhiEXfrw7Fjx5jZbFbc82+99Rbr1asXMxqNLC8vj/33f/+3y7nKy8uZ2WxmNpuNVVVVhbvpmjB//nwGgAFgBoOBdezYkU2YMIFt2LCBNTc3y9/z9Swwxtjbb7/NBgwYwEwmE0tPT2czZ86MxiVFHYmxyDrmTp48Gd26dcO6desi+bMEERfs3LkTY8eORXl5uVc/8vbOiRMnUFBQgH379mHQoEHRbk5Q0FzogPpBG0pKSpCVlYW//OUv0W5KxFi5ciXeffddF1c9giDaLxFzRSsvL8fu3buxc+dO3HrrrZH6WYIg2hCNjY04deoU7rvvPgwfPjwuhRqaCx1QPwRPTU0Nnn/+eUyaNAl6vR6vvvoq/vGPf2D79u3RbhpBEERUiZhgs3DhQuzbtw933XUXpk+fHqmfJQiiDfHPf/4TY8eORY8ePfDWW29FuzlBQXOhA+qH4JEkCR988AEeeeQR1NfXo6ioCG+//bbbwHKCIIj2RMRd0QiCIAiCIAiCILQmqgU6CYIgCIIgCIIgtIAEG4IgCIIgCIIg4p6wCDZr1qzBkCFDkJSUhIyMDMyYMQNHjhxRfIcxhpUrVyInJwdWqxVjxozBoUOH5M/Pnz+PpUuXoqioCDabDXl5eVi2bBkqKioU5ykvL8e8efNgt9tht9sxb948XLhwIRyXRRAEQRAEQRBEjBIWwWbXrl1YsmQJ9uzZg+3bt6OpqQkTJ05EdXW1/J3HHnsMTz75JNatW4d9+/YhKysLJSUlqKqqAgCcPHkSJ0+exOOPP46DBw9i06ZN2LZtG26++WbFb82ePRsHDhzAtm3bsG3bNhw4cEBRjZkgCIIgCIIgiLZPRJIHnD17FhkZGdi1axcuv/xyMMaQk5OD3/zmN7j33nsBOCqvZmZmYu3atbjlllvcnufNN9/E3LlzUV1dDYPBgMOHD6NXr17Ys2cPhg0bBgDYs2cPiouL8e2336KoqCjcl0YQBEEQBEEQRAwQkRgb7j7WoUMHAMDRo0dRWlqKiRMnyt8xm80YPXo0du/e7fU8ycnJMBgcWao/++wz2O12WagBgOHDh8Nut3s9D0EQBEEQBEEQbYuwCzaMMdx5550YNWoU+vTpAwAoLS0FAGRmZiq+m5mZKX+mpqysDL/73e8U1pzS0lJkZGS4fDcjI8PjeQiCIAiCIAiCaHuEvUDn7bffjq+//hqffvqpy2eSJCleM8Zc3gOAyspKTJ06Fb169cKKFSu8nsPbeQiCIAiCIAiCaJuE1WKzdOlSbN26FZ988gk6d+4sv5+VlQUALlaVM2fOuFhxqqqqMHnyZCQmJmLLli0wGo2K85w+fdrld8+ePetyHoIgCIIgCIIg2i5hEWwYY7j99tvxzjvv4OOPP0ZhYaHi88LCQmRlZWH79u3yew0NDdi1axdGjBghv1dZWYmJEyfCZDJh69atsFgsivMUFxejoqICe/fuld/7/PPPUVFRoTgPQRAEQRAEQRBtm7BkRVu8eDFeeeUV/PWvf1VkJrPb7bBarQCAtWvXYs2aNdi4cSO6d++O1atXY+fOnThy5AiSkpJQVVWFkpIS1NTUYMuWLUhISJDP07FjR+j1egDAlClTcPLkSaxfvx4A8Ktf/Qr5+fl47733tL4sgiAIgiAIgiBilLAINp7iWzZu3IgFCxYAcFh1Vq1ahfXr16O8vBzDhg3DM888IycY2LlzJ8aOHev2PEePHkVBQQEARyHPZcuWYevWrQCAq666CuvWrUNKSoqm10QQBEEQBEEQROwSkTo2BEEQBEEQBEEQ4SQidWwIgiAIgiAIgiDCCQk2BEEQBEEQBEHEPSTYEARBEARBEAQR95BgQxAEQRAEQRBE3EOCDUEQBEEQBEEQcQ8JNgRBEARBEARBxD0k2BAEQRAEQRAEEfeQYEMQBEEQBEEQRNxDgg1BEARBEARBEHEPCTYEQRAEQRAEQcQ9JNgQBEEQBEEQBBH3/D/MFfQsppR79gAAAABJRU5ErkJggg=="
-     },
-     "metadata": {}
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "source": [
-    "print(additional_items.resample(\"1d\").asfreq(0))"
-   ],
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "2020-01-05    1\n",
-      "2020-01-06    0\n",
-      "2020-01-07    0\n",
-      "2020-01-08    0\n",
-      "2020-01-09    0\n",
-      "             ..\n",
-      "2020-03-25    0\n",
-      "2020-03-26    0\n",
-      "2020-03-27    0\n",
-      "2020-03-28    0\n",
-      "2020-03-29    1\n",
-      "Freq: D, Length: 85, dtype: int64\n"
-     ]
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "source": [],
-   "outputs": [],
-   "metadata": {}
-  }
- ],
- "metadata": {
-  "orig_nbformat": 4,
-  "language_info": {
-   "name": "python",
-   "version": "3.8.8",
-   "mimetype": "text/x-python",
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "pygments_lexer": "ipython3",
-   "nbconvert_exporter": "python",
-   "file_extension": ".py"
-  },
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.8.8 64-bit (conda)"
-  },
-  "interpreter": {
-   "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
\ No newline at end of file