ts_bars.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Financial bars at the age of deep learning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![candlestick_vs_tensor](visual/vsbar.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At the age of machine learning and deep learning, the representation of financial data needs new approaches. Candlesticks, for example, originated from Japanese rice merchants and were first used in the 18th century. Obviously, they weren't developed for neural networks. They are very well suited to visualize the price movement but hide possibly important information. Models process data differently, and they can \"understand\" features hard to apprehend in bulk by humans.\n",
    "\n",
    "We recognize patterns in images, neural networks recognize patterns in multidimensional datasets. We can use the same OHLC data to display a bar chart and feed to our network, but we can derive very different additional information from the price movement other than the open, high, low and close price of the sampled bar.\n",
    "\n",
    "I will share ideas about time-series data transformations for neural networks and will flavor it with some sacrilege at the end, but there are plenty of other options worth examining. Stationarity, homoscedasticity or uncorrelated features are very important for some forecasting methods, but neural networks don't require such strong conditions. These conditions can improve the performance of some models, while others are built to deal with heteroscedastic data like the mixture density network in [my earlier article](https://medium.com/analytics-vidhya/time-series-prediction-with-multimodal-distribution-building-mixture-density-network-with-keras-b1020d9de5a1).\n",
    "\n",
    "We will use only the ask price. Combining it with bid price, volume or other data could lead to many new features.\n",
    "\n",
    "This article isn't the implementation of the ideas in the [book of Marcos Lopez de Prado](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). That is an awesome book, and you can find many articles about the topics in it. For example, [this one from Maks Ivanov](https://towardsdatascience.com/financial-machine-learning-part-1-labels-7eeed050f32e), which explains time bars, tick bars, volume bars, dollar bars, and the imbalance bars.\n",
    "\n",
    "We follow a different approach, but we can mix the ideas in this article with the above-mentioned techniques. For simplicity, we will use time bars, but for most examples, any of the above-mentioned alternative bar sampling methods could be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "from datetime import datetime\n",
    "from scipy.stats import spearmanr\n",
    "import seaborn as sns\n",
    "import os\n",
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our raw data is the USD/JPY tick ask price from 2016. We will examine resampling and feature building techniques, but won't train a model, so we don't use a large dataset. The source of the tick data is [dukascopy.com](https://www.dukascopy.com/trading-tools/widgets/charts/chart)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read tick data\n",
    "df = pd.read_csv('USDJPY_tick.csv', sep=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "                     Ask price\nctime                         \n2016-01-03 22:00:01    120.233\n2016-01-03 22:00:02    120.233\n2016-01-03 22:00:04    120.232\n2016-01-03 22:00:11    120.233\n2016-01-03 22:00:25    120.230\n...                        ...\n2016-02-29 23:59:52    112.417\n2016-02-29 23:59:52    112.417\n2016-02-29 23:59:52    112.417\n2016-02-29 23:59:53    112.417\n2016-02-29 23:59:56    112.417\n\n[5089898 rows x 1 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>Ask price</th>\n    </tr>\n    <tr>\n      <th>ctime</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2016-01-03 22:00:01</th>\n      <td>120.233</td>\n    </tr>\n    <tr>\n      <th>2016-01-03 22:00:02</th>\n      <td>120.233</td>\n    </tr>\n    <tr>\n      <th>2016-01-03 22:00:04</th>\n      <td>120.232</td>\n    </tr>\n    <tr>\n      <th>2016-01-03 22:00:11</th>\n      <td>120.233</td>\n    </tr>\n    <tr>\n      <th>2016-01-03 22:00:25</th>\n      <td>120.230</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:59:52</th>\n      <td>112.417</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:59:52</th>\n      <td>112.417</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:59:52</th>\n      <td>112.417</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:59:53</th>\n      <td>112.417</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:59:56</th>\n      <td>112.417</td>\n    </tr>\n  </tbody>\n</table>\n<p>5089898 rows × 1 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "source": [
    "# time column to index\n",
    "df['ctime']  = pd.to_datetime(df['Timestamp'])\n",
    "df = df.set_index('ctime')\n",
    "df = df.drop(columns=['Timestamp'])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Good old candlesticks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Why we need bars at all? The main role of bars is to filter noise, compress information, and transform the data into a human or model comprehensible form. This is true to all bar types, not only candlesticks. Noise filtering and information compressing helps us (or doesn't) to see the price movement, recognize trends, support and resistance levels, volatile regions and candlestick patterns (what is in my opinion more misleading than useful). Unfortunately, because of the filtering and compressing lots of important information vanishes, or we get false impressions. For example, the candlestick tails are much thinner than the body, what visually implies that most of the price action happened in the body's region, but it isn't always true, sometimes most of the price action happens in the upper or lower tail, or has multimodal distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# resample 15 min data\n",
    "df_15 = df['Ask price'].resample('15Min').ohlc().iloc[100:150]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
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\n",
      "text/plain": "<IPython.core.display.Image object>"
     },
     "metadata": {},
     "execution_count": 5
    }
   ],
   "source": [
    "fig = go.Figure(data=[go.Candlestick(x=df_15.index,\n",
    "                open=df_15['open'],\n",
    "                high=df_15['high'],\n",
    "                low=df_15['low'],\n",
    "                close=df_15['close'],\n",
    "                increasing_line_color= 'red', decreasing_line_color= 'blue')])\n",
    "fig.update(layout_xaxis_rangeslider_visible=False)\n",
    "fig.update_layout(\n",
    "    xaxis_title=\"time\",\n",
    "    yaxis_title=\"USD/JPY\",\n",
    "    title_text='15 min bars', \n",
    "    title_x=0.5,\n",
    "    margin=dict(l=0,r=30,b=0,t=50))\n",
    "# github requires static images :(\n",
    "img_bytes = fig.to_image(format=\"png\")\n",
    "Image(img_bytes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# release df_15, will not use later\n",
    "del df_15"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar tensors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we sample \"bars\" for models, the main goal is similar to sampling bars for human visualization. Most of the times we want less noisy data, fewer data to speed up the calculation, and features that we hope will improve our model's performance. Of course, we can always use raw tick data, and I prefer tick charts to bars when watching shorter price movements. Why use bars at all when training models?\n",
    "\n",
    "- One reason is the required computation power. Depending on the range of the bar and the number of parameters, bar data can be only a fraction of the size of the original tick data.\n",
    "- Models based on LSTM layers have problems with long sequences, and the frequency of tick data is too much for them if the goal forecast timeframe is relatively large.\n",
    "- We can produce features from tick data which can improve model performance.\n",
    "\n",
    "The number of features of a bar is arbitrary. We should consider the bars as tensors. We will use one-dimensional vectors as bars, but it isn't difficult to make up multidimensional bars if we want, and our model is capable to use them. Just an example of a 2XN dimension bar: The N represents the number of features we derive from the tick data, and the two layers are the ask and bid data. You need a proper model to use this arrangement of data because the same data could have 1X2N dimension, where the features derived from ask and bid ticks are concatenated along the same axis. But if you use 2XN dimension input, you can use a Conv1D layer over it similar to the Conv2D convolution of an RGB image. But we can expand our features in a very different dimension. We can use the last tick data as an anchor point, and instead of sampling only from one timeframe, we can use derived features or statistics of different timeframes ending at this anchor tick. When using deep learning models, we should consider the layers of the model when building the bars, because different layers can explore different connections.\n",
    "\n",
    "What kind of new features can we add to our bar tensors? Any kind we can imagine and turns out to be useful. The open, high, low, close (first, max, last, min in the code) can remain among our features, why not, but if you don't care about the slippage between bars, you can even omit the open price. If you resample daily stock prices you shouldn't drop it, but the open price of a 1-minute bar maybe not so important. A feature can be the mean of the ticks in the bar range or the volume-weighted mean of the ticks. If we use time-based bars, then the number of ticks during the time-range can be another feature. If we use tick bars, then the time-range of the ticks in the bar can be a feature. We can use the standard deviation of ticks in a bar to compare the volatility of bars and the Spearman's rank correlation between the price and the time axis to estimate the monotonic relationships of the price movement. Log return can be another feature, and we will calculate the quantiles to estimate the regions where the tick price resides in the bar. We could generate other features. If you have something in mind, you can share it in the comments or on LinkedIn :)\n",
    "\n",
    "Ok, let's build our \"bars\"!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# instantiate 5 min resampler object\n",
    "rs_5m = df.resample('5min')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# build sampler functions\n",
    "# instead of lambda function use normal function to have the same column name\n",
    "def bar_len(x): return len(x)\n",
    "\n",
    "def bar_quantile_25(x): return x.quantile(0.25)\n",
    "def bar_quantile_75(x): return x.quantile(0.75)\n",
    "def bar_spearman(x): \n",
    "    corr, p_value = spearmanr(x, np.arange(len(x)))\n",
    "    return corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sample the 5 min dataset with the following columns:\n",
    "df_5m = rs_5m.agg({ 'Ask price':    ['first',           # open\n",
    "                                    'max',              # high\n",
    "                                    'min',              # low\n",
    "                                    'last',             # close\n",
    "                                    'mean',             # mean\n",
    "                                    'std',              # standard deviation\n",
    "                                    bar_len,            # number of ticks\n",
    "                                    bar_quantile_25,    # Q1\n",
    "                                    bar_quantile_75,    # Q3\n",
    "                                    bar_spearman]})     # Spearman correlation\n",
    "# simplify dataset as we use only the ask price                                  \n",
    "df_5m = df_5m['Ask price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "                       first      max      min     last        mean       std  \\\nctime                                                                           \n2016-01-03 22:00:00  120.233  120.234  120.227  120.228  120.231125  0.001963   \n2016-01-03 22:05:00  120.229  120.242  120.221  120.231  120.232787  0.005567   \n2016-01-03 22:10:00  120.233  120.244  120.221  120.234  120.233771  0.007161   \n2016-01-03 22:15:00  120.234  120.256  120.225  120.248  120.243313  0.006891   \n2016-01-03 22:20:00  120.248  120.266  120.243  120.257  120.250207  0.004880   \n...                      ...      ...      ...      ...         ...       ...   \n2016-02-29 23:35:00  112.382  112.445  112.382  112.433  112.411838  0.017112   \n2016-02-29 23:40:00  112.433  112.440  112.422  112.436  112.428974  0.005072   \n2016-02-29 23:45:00  112.436  112.443  112.358  112.403  112.395758  0.025452   \n2016-02-29 23:50:00  112.403  112.423  112.387  112.411  112.406352  0.007461   \n2016-02-29 23:55:00  112.411  112.447  112.411  112.417  112.437081  0.010234   \n\n                     bar_len  bar_quantile_25  bar_quantile_75  bar_spearman  \\\nctime                                                                          \n2016-01-03 22:00:00     24.0        120.23000        120.23300     -0.427193   \n2016-01-03 22:05:00     94.0        120.22900        120.23700      0.792465   \n2016-01-03 22:10:00     70.0        120.22650        120.23975     -0.653239   \n2016-01-03 22:15:00    144.0        120.24100        120.24800      0.549631   \n2016-01-03 22:20:00    150.0        120.24700        120.25200      0.550134   \n...                      ...              ...              ...           ...   \n2016-02-29 23:35:00    241.0        112.39700        112.42700      0.827126   \n2016-02-29 23:40:00    231.0        112.42500        112.43300      0.251933   \n2016-02-29 23:45:00    277.0        112.37200        112.41300     -0.636658   \n2016-02-29 23:50:00    244.0        112.40200        112.41000     -0.152562   \n2016-02-29 23:55:00    284.0        112.43275        112.44400      0.326996   \n\n                     bar_log_r  \nctime                           \n2016-01-03 22:00:00  -0.000042  \n2016-01-03 22:05:00   0.000017  \n2016-01-03 22:10:00   0.000008  \n2016-01-03 22:15:00   0.000116  \n2016-01-03 22:20:00   0.000075  \n...                        ...  \n2016-02-29 23:35:00   0.000454  \n2016-02-29 23:40:00   0.000027  \n2016-02-29 23:45:00  -0.000294  \n2016-02-29 23:50:00   0.000071  \n2016-02-29 23:55:00   0.000053  \n\n[16440 rows x 11 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>first</th>\n      <th>max</th>\n      <th>min</th>\n      <th>last</th>\n      <th>mean</th>\n      <th>std</th>\n      <th>bar_len</th>\n      <th>bar_quantile_25</th>\n      <th>bar_quantile_75</th>\n      <th>bar_spearman</th>\n      <th>bar_log_r</th>\n    </tr>\n    <tr>\n      <th>ctime</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2016-01-03 22:00:00</th>\n      <td>120.233</td>\n      <td>120.234</td>\n      <td>120.227</td>\n      <td>120.228</td>\n      <td>120.231125</td>\n      <td>0.001963</td>\n      <td>24.0</td>\n      <td>120.23000</td>\n      <td>120.23300</td>\n      <td>-0.427193</td>\n      <td>-0.000042</td>\n    </tr>\n    <tr>\n      <th>2016-01-03 22:05:00</th>\n      <td>120.229</td>\n      <td>120.242</td>\n      <td>120.221</td>\n      <td>120.231</td>\n      <td>120.232787</td>\n      <td>0.005567</td>\n      <td>94.0</td>\n      <td>120.22900</td>\n      <td>120.23700</td>\n      <td>0.792465</td>\n      <td>0.000017</td>\n    </tr>\n    <tr>\n      <th>2016-01-03 22:10:00</th>\n      <td>120.233</td>\n      <td>120.244</td>\n      <td>120.221</td>\n      <td>120.234</td>\n      <td>120.233771</td>\n      <td>0.007161</td>\n      <td>70.0</td>\n      <td>120.22650</td>\n      <td>120.23975</td>\n      <td>-0.653239</td>\n      <td>0.000008</td>\n    </tr>\n    <tr>\n      <th>2016-01-03 22:15:00</th>\n      <td>120.234</td>\n      <td>120.256</td>\n      <td>120.225</td>\n      <td>120.248</td>\n      <td>120.243313</td>\n      <td>0.006891</td>\n      <td>144.0</td>\n      <td>120.24100</td>\n      <td>120.24800</td>\n      <td>0.549631</td>\n      <td>0.000116</td>\n    </tr>\n    <tr>\n      <th>2016-01-03 22:20:00</th>\n      <td>120.248</td>\n      <td>120.266</td>\n      <td>120.243</td>\n      <td>120.257</td>\n      <td>120.250207</td>\n      <td>0.004880</td>\n      <td>150.0</td>\n      <td>120.24700</td>\n      <td>120.25200</td>\n      <td>0.550134</td>\n      <td>0.000075</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:35:00</th>\n      <td>112.382</td>\n      <td>112.445</td>\n      <td>112.382</td>\n      <td>112.433</td>\n      <td>112.411838</td>\n      <td>0.017112</td>\n      <td>241.0</td>\n      <td>112.39700</td>\n      <td>112.42700</td>\n      <td>0.827126</td>\n      <td>0.000454</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:40:00</th>\n      <td>112.433</td>\n      <td>112.440</td>\n      <td>112.422</td>\n      <td>112.436</td>\n      <td>112.428974</td>\n      <td>0.005072</td>\n      <td>231.0</td>\n      <td>112.42500</td>\n      <td>112.43300</td>\n      <td>0.251933</td>\n      <td>0.000027</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:45:00</th>\n      <td>112.436</td>\n      <td>112.443</td>\n      <td>112.358</td>\n      <td>112.403</td>\n      <td>112.395758</td>\n      <td>0.025452</td>\n      <td>277.0</td>\n      <td>112.37200</td>\n      <td>112.41300</td>\n      <td>-0.636658</td>\n      <td>-0.000294</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:50:00</th>\n      <td>112.403</td>\n      <td>112.423</td>\n      <td>112.387</td>\n      <td>112.411</td>\n      <td>112.406352</td>\n      <td>0.007461</td>\n      <td>244.0</td>\n      <td>112.40200</td>\n      <td>112.41000</td>\n      <td>-0.152562</td>\n      <td>0.000071</td>\n    </tr>\n    <tr>\n      <th>2016-02-29 23:55:00</th>\n      <td>112.411</td>\n      <td>112.447</td>\n      <td>112.411</td>\n      <td>112.417</td>\n      <td>112.437081</td>\n      <td>0.010234</td>\n      <td>284.0</td>\n      <td>112.43275</td>\n      <td>112.44400</td>\n      <td>0.326996</td>\n      <td>0.000053</td>\n    </tr>\n  </tbody>\n</table>\n<p>16440 rows × 11 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "source": [
    "# logreturn of the bar\n",
    "df_5m['bar_log_r'] = np.log(df_5m['last']/df_5m['first']) # log return\n",
    "df_5m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": "<IPython.core.display.Image object>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": "<IPython.core.display.Image object>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": "<IPython.core.display.Image object>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "# Fig1\n",
    "fig1 = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
    "fig1.add_trace(go.Candlestick(x=df_5m[5050:5100].index,\n",
    "                open=df_5m[5050:5100]['first'],\n",
    "                high=df_5m[5050:5100]['max'],\n",
    "                low=df_5m[5050:5100]['min'],\n",
    "                close=df_5m[5050:5100]['last'],\n",
    "                increasing_line_color= 'red', decreasing_line_color= 'blue',\n",
    "                name=\"OHLC\"))\n",
    "fig1.add_trace(go.Candlestick(x=df_5m[5050:5100].index,\n",
    "                open=df_5m[5050:5100]['bar_quantile_75'],\n",
    "                high=df_5m[5050:5100]['bar_quantile_75'],\n",
    "                low=df_5m[5050:5100]['bar_quantile_25'],\n",
    "                close=df_5m[5050:5100]['bar_quantile_25'],\n",
    "                increasing_line_color= 'gray', decreasing_line_color= 'gray',\n",
    "                name=\"25-75 quantiles\"))\n",
    "fig1.add_trace(go.Scatter(\n",
    "                x=df_5m[5050:5100].index,\n",
    "                y=df_5m[5050:5100]['mean'],\n",
    "                name=\"bar mean\"))\n",
    "\n",
    "fig1.update(layout_xaxis_rangeslider_visible=False)\n",
    "fig1.update_layout(\n",
    "    title_text='5 min bars',\n",
    "    autosize=False,\n",
    "    width=1200,\n",
    "    height=600,\n",
    "    margin=dict(l=10,r=10,b=10,t=40))\n",
    "img_bytes = fig1.to_image(format=\"png\")\n",
    "display(Image(img_bytes))\n",
    "\n",
    "# Fig2\n",
    "fig2 = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
    "fig2.add_trace(go.Bar(\n",
    "                x=df_5m[5050:5100].index,\n",
    "                y=df_5m[5050:5100]['bar_len'],\n",
    "                marker_color='rgb(26, 118, 255)',\n",
    "                marker_line_color='rgb(8,48,107)',\n",
    "                marker_line_width=5,\n",
    "                opacity=0.6,\n",
    "                name=\"tick number\"))                \n",
    "fig2.add_trace(go.Bar(\n",
    "                x=df_5m[5050:5100].index,\n",
    "                y=df_5m[5050:5100]['bar_spearman'],\n",
    "                marker_color='red',\n",
    "                name=\"price-time corr\"),\n",
    "                secondary_y=True)\n",
    "\n",
    "fig2.update_layout(\n",
    "    barmode='group',\n",
    "    autosize=False,\n",
    "    width=1200,\n",
    "    height=200,\n",
    "    margin=dict(l=10,r=10,b=10,t=10))\n",
    "img_bytes = fig2.to_image(format=\"png\")\n",
    "display(Image(img_bytes))\n",
    "\n",
    "# Fig3\n",
    "fig3 = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
    "fig3.add_trace(go.Bar(\n",
    "                x=df_5m[5050:5100].index,\n",
    "                y=df_5m[5050:5100]['std'],\n",
    "                marker_color='rgb(26, 118, 255)',\n",
    "                marker_line_color='rgb(8,48,107)',\n",
    "                marker_line_width=5,\n",
    "                opacity=0.6,\n",
    "                name=\"tick std of bar\",\n",
    "                showlegend=True))\n",
    "fig3.add_trace(go.Bar(\n",
    "                x=df_5m[5050:5100].index,\n",
    "                y=df_5m[5050:5100]['bar_log_r'],\n",
    "                marker_color='blue',\n",
    "                name=\"bar log return\"),\n",
    "                secondary_y=True)\n",
    "\n",
    "fig3.update_layout(\n",
    "    barmode='group',\n",
    "    autosize=False,\n",
    "    width=1200,\n",
    "    height=200,\n",
    "    margin=dict(l=10,r=10,b=10,t=10))\n",
    "img_bytes = fig3.to_image(format=\"png\")\n",
    "display(Image(img_bytes))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The chart above displays a sequence of our features. Some observations: The body of the candlestick shows a different pattern than the Q1-Q3 range. The log-returns move together with the Spearman's rank correlation and the highest standard deviations of tick prices are more typical of bars with more ticks. The displayed sequence is short and analyzing these connections more deeply isn't the goal of the notebook, but we expect(/hope) that the new features will improve the performance of our model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Refine the features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Among our features, we have log-returns and price information. For neural networks, all of them can be useful and depending on our forecasted features one can be more important than the other. [This article](https://quantivity.wordpress.com/2011/02/21/why-log-returns/) explains the advantages of log returns. With our dataset, these advantages can be extended. In the next table, we can see the correlations and standard deviations of our price features. The correlations are almost one, and up to the second decimal, the standard deviations are the same because relative to the long-term price changes the price features in a bar are very close to each other. This means that the model has to find useful patterns among very similar numbers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "                    first       max       min      last      mean  \\\nfirst            1.000000  0.999848  0.999870  0.999770  0.999913   \nmax              0.999848  1.000000  0.999757  0.999888  0.999931   \nmin              0.999870  0.999757  1.000000  0.999860  0.999937   \nlast             0.999770  0.999888  0.999860  1.000000  0.999932   \nmean             0.999913  0.999931  0.999937  0.999932  1.000000   \nbar_quantile_25  0.999902  0.999867  0.999971  0.999908  0.999987   \nbar_quantile_75  0.999891  0.999969  0.999869  0.999928  0.999985   \n\n                 bar_quantile_25  bar_quantile_75  \nfirst                   0.999902         0.999891  \nmax                     0.999867         0.999969  \nmin                     0.999971         0.999869  \nlast                    0.999908         0.999928  \nmean                    0.999987         0.999985  \nbar_quantile_25         1.000000         0.999946  \nbar_quantile_75         0.999946         1.000000  ",
      "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>first</th>\n      <th>max</th>\n      <th>min</th>\n      <th>last</th>\n      <th>mean</th>\n      <th>bar_quantile_25</th>\n      <th>bar_quantile_75</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>first</th>\n      <td>1.000000</td>\n      <td>0.999848</td>\n      <td>0.999870</td>\n      <td>0.999770</td>\n      <td>0.999913</td>\n      <td>0.999902</td>\n      <td>0.999891</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>0.999848</td>\n      <td>1.000000</td>\n      <td>0.999757</td>\n      <td>0.999888</td>\n      <td>0.999931</td>\n      <td>0.999867</td>\n      <td>0.999969</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.999870</td>\n      <td>0.999757</td>\n      <td>1.000000</td>\n      <td>0.999860</td>\n      <td>0.999937</td>\n      <td>0.999971</td>\n      <td>0.999869</td>\n    </tr>\n    <tr>\n      <th>last</th>\n      <td>0.999770</td>\n      <td>0.999888</td>\n      <td>0.999860</td>\n      <td>1.000000</td>\n      <td>0.999932</td>\n      <td>0.999908</td>\n      <td>0.999928</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>0.999913</td>\n      <td>0.999931</td>\n      <td>0.999937</td>\n      <td>0.999932</td>\n      <td>1.000000</td>\n      <td>0.999987</td>\n      <td>0.999985</td>\n    </tr>\n    <tr>\n      <th>bar_quantile_25</th>\n      <td>0.999902</td>\n      <td>0.999867</td>\n      <td>0.999971</td>\n      <td>0.999908</td>\n      <td>0.999987</td>\n      <td>1.000000</td>\n      <td>0.999946</td>\n    </tr>\n    <tr>\n      <th>bar_quantile_75</th>\n      <td>0.999891</td>\n      <td>0.999969</td>\n      <td>0.999869</td>\n      <td>0.999928</td>\n      <td>0.999985</td>\n      <td>0.999946</td>\n      <td>1.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 12
    }
   ],
   "source": [
    "# correlation is almost 1\n",
    "df_5m[['first', 'max', 'min', 'last', 'mean','bar_quantile_25', 'bar_quantile_75']].corr(method='pearson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "first              2.653695\nmax                2.650915\nmin                2.656619\nlast               2.653696\nmean               2.653476\nbar_quantile_25    2.654414\nbar_quantile_75    2.652639\ndtype: float64"
     },
     "metadata": {},
     "execution_count": 13
    }
   ],
   "source": [
    "# very similar std's\n",
    "df_5m[['first', 'max', 'min', 'last', 'mean','bar_quantile_25', 'bar_quantile_75']].std()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How can we help the model? We can \"logreturnise\" most of the price features.\n",
    "\n",
    "We use the 'mean price' feature as the base of our in-bar log returns, and calculate all the other 'price features' relative to the mean price of the bar, but the other price features could be a plausible base. When using the mean as a base for the calculations the return-like high and Q3 will be always positive, and the low and Q1 negative. The new features have far lower correlations. The standard deviations of the new features are more varied when scaled to the same magnitude as the standard deviation of the simple price features and the aggregated quantile features have considerably lower standard deviations than the one-tick-dependent open, high, low and close related features. These statistics mean that our new features can more easily lead to model-recognizable patterns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "Index(['first', 'max', 'min', 'last', 'mean', 'std', 'bar_len',\n       'bar_quantile_25', 'bar_quantile_75', 'bar_spearman', 'bar_log_r',\n       'first_r', 'max_r', 'min_r', 'last_r', 'bar_quantile_25_r',\n       'bar_quantile_75_r'],\n      dtype='object')\n"
    }
   ],
   "source": [
    "# make return-like features '_r'\n",
    "df_5m_aux = np.log(df_5m[['first', 'max', 'min', 'last', 'bar_quantile_25', 'bar_quantile_75']].div(df_5m['mean'], axis=0))\n",
    "df_5m_aux = df_5m_aux.rename(columns={  'first':'first_r',\n",
    "                            'max':'max_r', \n",
    "                            'min':'min_r', \n",
    "                            'last':'last_r', \n",
    "                            'bar_quantile_25':'bar_quantile_25_r', \n",
    "                            'bar_quantile_75':'bar_quantile_75_r'})\n",
    "df_5m = pd.concat([df_5m, df_5m_aux], axis=1, join='inner')\n",
    "print(df_5m.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "                   bar_log_r   first_r     max_r     min_r    last_r  \\\nbar_log_r           1.000000 -0.879933  0.072918 -0.111504  0.841443   \nfirst_r            -0.879933  1.000000  0.030678  0.129727 -0.483697   \nmax_r               0.072918  0.030678  1.000000 -0.845931  0.169222   \nmin_r              -0.111504  0.129727 -0.845931  1.000000 -0.057872   \nlast_r              0.841443 -0.483697  0.169222 -0.057872  1.000000   \nbar_quantile_25_r  -0.109783  0.027302 -0.863646  0.822777 -0.171193   \nbar_quantile_75_r   0.141876 -0.080767  0.808038 -0.849542  0.169507   \n\n                   bar_quantile_25_r  bar_quantile_75_r  \nbar_log_r                  -0.109783           0.141876  \nfirst_r                     0.027302          -0.080767  \nmax_r                      -0.863646           0.808038  \nmin_r                       0.822777          -0.849542  \nlast_r                     -0.171193           0.169507  \nbar_quantile_25_r           1.000000          -0.931759  \nbar_quantile_75_r          -0.931759           1.000000  ",
      "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>bar_log_r</th>\n      <th>first_r</th>\n      <th>max_r</th>\n      <th>min_r</th>\n      <th>last_r</th>\n      <th>bar_quantile_25_r</th>\n      <th>bar_quantile_75_r</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>bar_log_r</th>\n      <td>1.000000</td>\n      <td>-0.879933</td>\n      <td>0.072918</td>\n      <td>-0.111504</td>\n      <td>0.841443</td>\n      <td>-0.109783</td>\n      <td>0.141876</td>\n    </tr>\n    <tr>\n      <th>first_r</th>\n      <td>-0.879933</td>\n      <td>1.000000</td>\n      <td>0.030678</td>\n      <td>0.129727</td>\n      <td>-0.483697</td>\n      <td>0.027302</td>\n      <td>-0.080767</td>\n    </tr>\n    <tr>\n      <th>max_r</th>\n      <td>0.072918</td>\n      <td>0.030678</td>\n      <td>1.000000</td>\n      <td>-0.845931</td>\n      <td>0.169222</td>\n      <td>-0.863646</td>\n      <td>0.808038</td>\n    </tr>\n    <tr>\n      <th>min_r</th>\n      <td>-0.111504</td>\n      <td>0.129727</td>\n      <td>-0.845931</td>\n      <td>1.000000</td>\n      <td>-0.057872</td>\n      <td>0.822777</td>\n      <td>-0.849542</td>\n    </tr>\n    <tr>\n      <th>last_r</th>\n      <td>0.841443</td>\n      <td>-0.483697</td>\n      <td>0.169222</td>\n      <td>-0.057872</td>\n      <td>1.000000</td>\n      <td>-0.171193</td>\n      <td>0.169507</td>\n    </tr>\n    <tr>\n      <th>bar_quantile_25_r</th>\n      <td>-0.109783</td>\n      <td>0.027302</td>\n      <td>-0.863646</td>\n      <td>0.822777</td>\n      <td>-0.171193</td>\n      <td>1.000000</td>\n      <td>-0.931759</td>\n    </tr>\n    <tr>\n      <th>bar_quantile_75_r</th>\n      <td>0.141876</td>\n      <td>-0.080767</td>\n      <td>0.808038</td>\n      <td>-0.849542</td>\n      <td>0.169507</td>\n      <td>-0.931759</td>\n      <td>1.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 15
    }
   ],
   "source": [
    "# with return-like features the correlations are much lower\n",
    "df_5m[['bar_log_r', 'first_r', 'max_r', 'min_r', 'last_r', 'bar_quantile_25_r', 'bar_quantile_75_r']].corr(method='pearson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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HGNdlI4QoC5QHMt/vyEEIcco4F3HP/P6X7lPdmIqiKIpBHkZjZp7D12i1carDjBBze8hhc69imOgj80XDZ6SUoUKICsA+IcQFKeXVXCeYharsFEVRFIM8zI2ZeQ7fHIQAme+QXBoIzSH2VcDkluxSylDjv9eMM13VAfJd2aluTEVRFMXAut2YJ4HKQojyQgg7DBXa5qxBQoiqGGa4OpZpnZsQwt743BNoCvyd9bV5oVp2hVxhnIcy/ua+RwcVkLO1JxZ0Cmb5u0U/OqgAvPHi+oJOwazxhfhreGBULm/C+oRVsMZGrDgaU0qpE0KMxvDzKw3whZQy0HhrtFNSyvsVX2/gB2k6UfNzwCohhB5Do2xh5lGc+aEqO0VRFMXAyjOoSCm3AduyrJuZZXm2mdcdBaw6q7uq7BRFURQDNTemoiiKUuSpm7cqiqIoRZ6aCFpRFEUp8lQ3pqIoilLkqcpOURRFKfJkThOcPP1UZacoiqIYqJadoiiKUuSp0ZiKoihKkadadkph9/4Hs+jQoTVJiUkMGzaJs2cDs8W8/HJ33nprJFJKwsIjGfTGOGJi4qhVqxrLPn4PBwd7dDod48a9w+lT5x57zjPmL+XQkT9xd3Nl0zcrH/v+nFvV4Zk5gxA2NkR9v4fw5b+alAs7LRWWjcWxZkV0cXe5OuIDUkOiKO5fmXKLRxiD4NaSH4nfcQKAcktG49quPmnRtwlsO9biHB2b1cdz2nDQaLjz83bi1/5kUu5Qrwae04ZjX6UC4ZPmc2/XHwBo/bzwWTYTobEBrZbb3/7GnR+3WpxPZv1nD8K/dT1Sk1JYOekTbly8lmPsxLXT8HrGhyntDcekbLVyvPHecGzt7dCnp/PljNVcPXclX3nk9310bl6b0tP7IWy1yDQdwfPWc/fIBWyKO/DcxvkZr7f19SDm14MEz/oiX/lVnzcA77b+pCelcnbsCm5fuJEtxqVWefyXDUfjYEfE3rMEzjBM2+ZcvSy1Fg/Cxt4Wma7nwtQviD9zlRKV/Kj90TBcapbn34U/cm2Fdd/bDEX4ml0hnoFOya0OHVpRqVJ5atVsxejR0/lo2XvZYjQaDe+/P5NOnXrTsGEnLl74h2HDBwAwb95UFsxfRuNGnZk3dynz5k17Inn37BzAyqXznsi+sLGh7HtDudJ3Lhdbj8GjZzMcKpc2CfHs3Q7d7XtcaDaSiDVbKPN2fwCS/v2PwE6TCGw/gct95lJu0QjQGP50on/ax+U+c6yWY8kZowgdNoOb3Ybg1Lk1thWfMQnRhUUROX0Jd7fuN10fFUvIa+MJfnEkIa+OwW3wK2hKulsnL8C/dV18yvsxoeVI1k5bwRvzhuUY+3zHRiQnJpus6z1tAL8u+4npnSfw89Lv6T2tf/4SseB91MXe4crA9whsN47r4z6mwjJDRay/l0xg+wkZj9SQKOK2Hc9Xel5t/SlRwYd9jcdzbtIaai4aZDau5qI3OD9pLfsaj6dEBR+82tQGoNo7r3F5yS8cajeNS4s38Nw7rwGQGp/AxRnrubbi93zllWvWnQi6UFGVnRlCiDFCiH+EEHFCiKl5eF05IcRrjzM3c7p0bc933xq+3Z48eQYXFyd8fEpmzQ2EwNHREQAnZyfCwiIAw5c5J6cSADg7OxNuXP+41feviYuz0xPZV/E6lUm5EUbKzQhkmo7Y3/7ArUMDkxi39g2I3mCoRGK3HsWpWS0A9MmpkG744xb2tibffhNO/I0u/q5VcnSoWZW0m6HoQsIhTUfC9gOUaNPYJEYXGkHq5evZP2zSdJCWZsjR1hZsrPunXS+gAYd/MRyboDOXcXQujquXW7Y4e0cHOg/uzqZPNpgWSEmxEsUAKObkSFxkbL7ysOR9TAy8TlpEHABJl25i42CHsDPt3LIv74utpwsJJ/I357BPh3oE/3QYgPi/grB1dsTey9V0H16u2JYoRtxpQ8s2+KfD+HSsD4CUEq2T4ThpnRxJDjfkmxp9h9tnr6HXpfNYFeHKTnVjmjcS6CSlvG6uUAihlVKau5JbDngN+C43O3nIdvLEz8+bkJAHt4kKvRWOr58P4eFRGet0Oh3jxs7gz5M7SExMIijoOuPHvQPA5Mnv8tvmr5i/YDo2Nja0ad3L0pQKHTsfd1JDH9x5IDUshuJ1qpjE2Pp4PIhJ15N+JxGtmxO6uLsUr1OZ8ktGY1e6JNfGLMuo/KxJ4+1BWub3LDwa+1rP5vr1Wp+S+K6Yg+0zfsR8sJb0qPxVKOa4+XgQGxqTsRwbHoObtzvxkXEmcS9P7M3WNb+RkpRisv6rOV8w9auZ9Hl7IMJGMPvF/PUeWPo+Zvx/ujTm3sVryFTTPz+PHs2J3fxHvnIDcPB1JznTcUoKi8XB152UyHiTmKSwB+9NclgMDr6GVnjgzK9o9P00qs3sCzaCI91m5TuX/JDpj7kyLUCqZZeFEGIlhrtlbBZCjBdCfGpcv04IsVQIsR9YJIRoKYQ4a3ycEUI4AQuB5sZ143PY/kAhxAYhxBZgl5VyzrZOZul712q1DBnSlyaNu1CxQgMuXvyXSW+NBGDwkL5MmTyXqlWaMGXyXFasWGSNtAoXM8co6/UJsyHGf++ducLFNmP5u/NkfEf3MrTwnkSOOd7YOTtdeBTBL4zgv46v49QjAI2H66NfZFFqprmVrVYOn3K+nNp5Iltou74d+HruF7zZeAhfz/mCoYtHZYvJdyJ5eB8BHKqUofT0/vw3Jft1YvcezYjZdDh/ueUyP3P3777/91p2QACBs75mT73RBM76mtpLh2YPfpyKcMtOVXZZSCmHY7ibbmsgLktxFaCdlHIiMAkYJaX0B5oDScBU4LCU0l9K+eFDdtMYGCClNHuzOiHEUCHEKSHEKZ3OfBfZ0GH9OHZ8G8eObyMsLILSpf0yyvxK+WTriqxVuxoA16/fBODXX7bSqFE9APr06cVvv+0wrP91K/Xq135I6k+n1LAY7Pw8M5btfD1Ii4jNOUZjg8bZkfQ40+OfHBSCPimZYlVNr6VZQ3p4NLaZup+1Pp6kR8Y85BU5bCcqltSr/+FQr4ZF+QT078T8bUuZv20pcRFxuPs9uI+bu48HcVladZXrVqV8zYos+2MVs36ej295X2b8MBeAFr1ac3K74TrYia1HqVC7cr5ysvR9tPX1oPLnU7k+dhkp/4WbvK5YtXIIrYbECzkPvDGn3OsBtNizgBZ7FpAcHodDpuNUzNc9oyvyvuTQWIr5Prie6uDrQYoxpswrLQjb+icAYZuP41qnYp5ysZjU5/7xlFGVXd5skFLeb+cfAZYKIcYArnnsjtwtpcyxj0lKuVpKWV9KWV+rNX9Na/Wqr2ncqDONG3Vmy5ZdvNbnRQCef74Od+7cNenCBAgNDefZ5yrj6Wn4I2vTthmX/g0CICwskubNGwHQqlUTrl69kYf/ytPh3tkr2Jf3xa6MF8JWi3uPZsTtOmkSE7/rJJ4vtwbAvUsT7h65AIBdGa+MASl2pUriUKEUqcGRVs8x+eIlbMuWQlvKG2y1lOjUinv7czdQQuPtibC3A8DGuQQOdaqRdj3Eonx2f7Wd6Z0nML3zBE7tOkHzXoZjU6lOFZLuJmbrwtzzzU5GNRjE2GbDePel6YRdD2Peq4au8rjIOJ5rVB2A6k1rEnEjLF85WfI+apwdqfLV24Qs+JqEU/9m27ZHj+b5atXd+HI3h9pN41C7aYTvOEWZV5oD4Fq3Eml3E026MAFSIuPR3UvGtW4lAMq80pzwnacBSA6Pw6PJcwB4NqvOvWumFfJjp5e5fzxl1DW7vLl3/4mUcqEQYivQGTguhGiXn+1Yw84d++nQoTUXLh40/PRg+FsZZceOb6Nxo86Eh0Uyf/4ydu76CV1aGjeDbzFs6CQARo+ayvsfzEKr0ZKcksLo0U9mNOZbsxZy8sx54uPv0LZnX0YO6kevbh0ez87S9dycsYaq380CGxuif9xL8uVg/Cb1JvFcEPG7TxL1wx4qfDyOmn98hi4+gWsjlwDg1OA5fEe9iNSlI/V6/pu+KuP6T4XlE3BqXB2tuzO1T63h1gc/EP3D3nznGPXecvzWzEfY2HBn4y5Sg/7DfXR/kgMvk7j/OPY1quD78UxsnJ0o3roRutH9Ce4+FLsKz+A5eYihv05A/Jc/k3rlhnWOHXB232n8W9fjw0MrSElKYdWkTzLK5m9byvTOEx76+rVTPqP/7EHYaGxIS0lj7dTP8peIBe+j1+udsS/ni9+4V/Ab9woAl3q/iy7mNgBu3ZpwpZ9lo4Mj95zBq60/bY5/RHpSCmfHrcooa7FnAYfaGf62zk/5IuOnB5H7zhK596xh/aQ1VJ/bH6HVoE9J4/xbawGwL+lC853vGQav6CUVhnTiQIu30CUkWZRvNk9h92RuiazXdhQQQtwA6gNdgfpSytFCiHXA71LKn40xFaWUV43PNwHrgGBgqZSy5UO2PfD+NnOTS3HHcoXuDYq/ua+gU8jR2doTCzoFs9xcEgs6BbNm3nMs6BTMGl+IJ/IIT3co6BTM6hb+vbkrq3mSuGx4rj9vHMeutHh/T5Jq2eXfOCFEayAd+BvYDugBnRDiHLDuEdftFEVRCpciPBpTVXZmSCnLGZ+uMz6QUg7MEvNmDi9v+4htZ2xTURSlULHytTghREdgGaAB1kopF2YpHwi8D9wyrvpUSrnWWDYAmGFcP09Kud6SXFRlpyiKohhYcZSlEEIDLAcCgBDgpBBis5Qy6y/2f8x6WUcI4Q7MwnA5SQKnja/NOkI+19RozMdECNEh0+/w7j82FnReiqIoObLuaMwGQJCU8pqUMhX4AeiRy0w6YBy1bqzgdgMd8/V/MlItu8dESrkT2FnQeSiKouSWtO5ozFIYBu3dFwI0NBPXSwjRArgMjJdSBufw2lKWJKNadoqiKIpBHlp2mSe/MD6yTveSmymBtgDlpJS1gD3A/etylk0nZIZq2SmKoigGeRiNKaVcDax+SEgIUCbTcmkMs1Nl3kbmKYLWAPfnKgwBWmV57YFcJ2eGatkpiqIoBtadG/MkUFkIUV4IYQe8CmzOHCCE8M202B34x/h8J9BeCOEmhHAD2mPhZSHVslMURVEMrPjTAymlTggxGkMlpQG+kFIGCiHmAKeklJuBMUKI7oAOiAUGGl8bK4SYi6HCBJjzsCkWc0NVdoqiKIqBlSd4llJuA7ZlWTcz0/NpgNn5CaWUXwD5u128GaqyUxRFUQyewgmec0tVdoXcce+aBZ1CNoV1/kkA/3NLCjoFs7zLP6YJri10pnLZgk7BrFqXzd43uVCI2G3ZZNGFmXzcd0IvQKqyUxRFUQxUy05RFEUp8p7Cm7LmlqrsFEVRFAPVslMURVGKOqkqO0VRFKXIU5WdoiiKUuSp0ZiKoihKkadadoqiKEpRJ6Wq7BRFUZSiTrXsFEVRlCJPVXZKYVOiRV38Zg0BGxviftxN1MqfTcqFnZbSSyZQrEZF0uPvcnP0YtJuReLaoyWeQ1/MiHN4thxBXceR/M91yq2bjdbLHaHRcO9kIKEzV+b2Vh4ZnFvV4Zk5gxA2NkR9v4fw5b9my6vCsrE41qyILu4uV0d8QGpIFMX9K1Nu8QhjENxa8iPxO04AUG7JaFzb1Sct+jaBbcfm42jlzYz5Szl05E/c3VzZ9M3Kx76/rBYsfoeA9i1JSkpi1PApnD/3d7aYF1/qyoRJw5FSEh4WybAhk4iNiWPKtDfpN/AVYqLjAJj77hL27DpocU4OTZ7HfdJI0NiQsHE7d9b9YFJuX7cmbhNHYle5AtHT5pG497Bhff3auE8ckRFnW+4ZoqbNI+nAUYtzymzR+zNp374ViUlJjBw2mXPnArPF9Hq5GxMnjcg4ZkMGTyA2xnCchg7vz9Ch/dCl69i14wAz31mU7fV5deT8FRZ9twO9Xs8LLeoyqGtzk/KwmHhmrNnE3cRk9Ho9Y19uR/PaVYhPSGTipz8ReP0W3Zv5M71fF4tzya2i/NMDdT+7AiaEyPsXDhsb/OYM5/rA2VxpPwqX7i2wr1TGJMTtlfak307gcuthRH/+Gz5TBwIQ/9tBgrqMJajLWIInLCUtJJLkfwzzEN4cvYigzmO40mEUWncXXDo3zXNeZd8bypW+c7nYeqX/L3UAACAASURBVAwePZvhULm0SYhn73bobt/jQrORRKzZQpm3+wOQ9O9/BHaaRGD7CVzuM5dyi0aAxnB6Rv+0j8t95uT5MOVXz84BrFxaMPMftmvfkooVy1Lfvx3jx7zDkg+z/781Gg0LFs+ge5d+NG/cjcDASwwZ2jejfOXydbRs2p2WTbtbpaLDxgb3KW8S+eZ0QnsNonjH1tiWf8YkRBcWSczsxdzbsc9kfcqpc4T1Hk5Y7+FEDHsLfXIyycdPW55TJgHtW1GxYjnq1G7D2DffZulH5o/ZosXv0LVzH5o26kLgxX8ZOqwfAM1bNKJLl3Y0adSFRs934uOP11qcU7pez/yvt/HZhD5snD+KHScucvVWpEnMms2H6NCgOj/NGc6iES8x/6utANjZahn1Ymsm/F97i/PIM53M/eMpoyq7TIQQ5YQQ/woh1gohLgohvhVCtBNCHBFCXBFCNDA+jgohzhj/rWp87QQhxBfG5zWNr3fMYT+zhRCrhRC7gK/ymqdj7cqk/hdGWnAEMk3H7S2HcA5oaBLjHNCQ+F/2AnB7+xFKNKmdbTuu3VoQv+VQxrI+IcnwRKtB2Gkhjxeri9epTMqNMFJuGvKK/e0P3Do0MIlxa9+A6A37AYjdehSnZrUM+05OhXRDK1LY25rsO+HE3+ji7+YpF0vU96+Ji7PTE9tfZp27tOOH7zcBcOrkWZxdnfD2LmkSI4RACIGjYzEAnJxKEB4emW1b1mJXoyq6kFB0t8JAp+PezgMUa2X6RSg9LIK0K9cf2hPg2K4FyUdOIpNTrJpfl67t+P77jYDhmLm4OOdwzKD4/WPmXILwMMMxGzT4NT5cspLU1FQAoqNisNTFa7co4+1OaS93bLVaOjaswYEzl0yDhCAhyXAsEpJSKOlmOOcc7e2oW6Us9rZPvuNN6mWuH08bVdllVwlYBtQCngVeA5oBk4DpwL9ACyllHWAmMN/4uo+ASkKIF4AvgWFSysSH7Kce0ENK+VpeE9T6eJAWFp2xnBYeg62Ph0mMrbcHqfdj0vWk372Hxs3ZJMala3PiN5t+8y+3/l2qnfoGfUISt7fnravJzsed1NAHeaWGmcnLx+NBTLqe9DuJaI1/5MXrVKbGvmXU2PsRN6auzKj8/pf4+nlz61ZYxnLorXB8/bxNYnQ6HZPGzeLI8a38feUIVZ+txNfrN2SUDx7al8PHtvDJZwtwcTV9z/NDW9ITXabKND0yCo2Xx0NeYV7xDq24t3PfowPzyNfXm1shoRnLoaHh+Pn5mMTodDomjJvJ0RPbuBR0jKrPVuKr9T8BULFSeRo3fZ69+39h647vqFvX8juNRMbdwcf9wbH3cnMmIu6OScyInq3Yeuw8AeOXMGrpt0zt29ni/VpML3P/eMqoyi6761LKC1JKPRAI7JWG8bgXgHKAC7BBCHER+BCoDmCMHwh8DRyUUh55xH42SymT8pWhENlWZRsybCYmc2upmH8VZFIKKZdvmoTcGDCLfxr0R9jZUqJJLYvzyto6NBti/PfemStcbDOWvztPxnd0L0ML73+MyMV7q9VqeX1wb1o260G1yk0JvPgv4ycOB+CLtd9Rt1ZbWjTpTnh4JPPmm70vZl6Tyr4uj591Gk93bCuVJ+nYKcvzySK3x2zQ4D60aNqdqpUaE3jxXyZMGpFR5urqQtvWvXjn7YWs++oTi3My1ykiMM1z+/ELdG/qz+4PJ7J8Qh/eXv0r+jxeI7c6fR4eTxlV2WWXuY9Fn2lZj2FAz1xgv5SyBtANcMgUXxlIAPxysZ97ORUIIYYKIU4JIU79fPe/bOW6sGhsfT0zlm19PNBFmN6xPi08Grv7MRobNE7FSc/UFeja1bQLMzOZmsadPSeydY0+SmpYDHZ+D/Ky8/UgLUteJjEaGzTOjqTHmXZRJgeFoE9KplhV0+tCRdWgIX04eGQzB49sJjwsglKlfDPK/Er5ZHS33Vez1nMA3Lhu+KKyaeN2GjSsA0BUVAx6vR4pJV+t+4m69fL4hcUMXWQUWh+vjGWNV0nS89jV5xjQksT9R6w2Q8fgoX05fHQLh49uITwsklKlH/zJ+fn5EBYWYRJfy3jMrhuP2cZft9GwYV3A0HresnknAH+dPo9er8fD092i/LzdnQmPfdCSi4y7g5ebadf4xkNn6NCgOgC1K5UhJU1HXMLDOoMeP9WNqWTmAtwyPh94f6UQwgVD92cLwEMI8VJ+dyClXC2lrC+lrP+SU/abayaev4J9OT9sS3sjbLW4dGvBnT1/msTc2XMC115tDQl3akrCsfMPCoXApXNTk8rOxtEBbUk3w4LGBqfW9Um5GpKnvO+dvYJ9eV/synghbLW492hG3K6TJjHxu07i+XJrANy7NOHukQsA2JXxyhiQYleqJA4VSpEa/PiuQxUmn6/5NmNAydbf9/Bq754A1H/enzu37xIREWUSHxYaQdVnK2V8ILdu3ZTLl68CmFyr6totgH/+vmxxfqmBl9CWKYXWzwe0Wop3aEXSwbx1cRfv2Cbb4BVLrF39Dc2bdKN5k278/vsuevd+ATAeszvZj1lo1mPWphmXLgUBsPX3XbRo2RiAipXKYWtnR0y06Ze0vKpe3o+bETGERMWRptOx48RFWtapahLj6+HCib+vAXAtNIrUNB3uTsUt2q+lpE7m+vG0UT89yLvFwHohxAQg81/vh8BnUsrLQohBwH4hxCEppfU/sdP1hM5aSfmv3jX89GDDHlKu3MRrfB+SLlzh7p4/iftxN2U+nECV/atIv53AzTcXZ7y8eIPqpIVHkxb84NuvjaMDZde8g7DXImw0JBw7R8y32/Oc180Za6j63SywsSH6x70kXw7Gb1JvEs8FEb/7JFE/7KHCx+Oo+cdn6OITuDbScGdxpwbP4TvqRaQuHanX89/0VeiMLb4Kyyfg1Lg6Wndnap9aw60PfiD6h72WH8ccvDVrISfPnCc+/g5te/Zl5KB+9Or2ZO40vnvnAQLat+T0ub0kJSUxesTUjLKDRzbTsqmhe3Lxgk/ZuuM70tLSCA4OZdTwKQDMnjuZmrWeQ0rJzZu3mDDmHcuTStcTu+gTvJYvBBsbEjbvIO3af7gMH0Dq35dJOnQMu2pVKblkNjbOJSjWojEuwwcQ9vJgADS+3mi8S5Jy+vwjdpQ/u3YeoH2HVpw9v4/EpOSMYwFw+OgWmjfpRnh4JIsWfMz2nd+TlqYj+OYtRgyfDMDXX/3M8hULOfbndtJSUxkx7C2Lc9JqNEzr25kRH3yNXi/p2bwOlUp5sfzXfVQv70erOs8y8dX2zPlyC9/sOo4A5gzumdEl22nihyQkp5CmS2f/X/+yclI/KpbyevhOreEp7J7MLVGUp4cpCi6U71bo3qDk1ML7Hcn/3JKCTsEs7/JPprLMqzOVs/ccFAa1Ll8v6BRyFLG7YH6W8igOjXububiaNzHdWub688Zjy8FH7k8I0RFDj5cGWCulXJilfAIwGNABUcAbUsr/jGXpGMZKANyUUnbPbW7mFN5PLUVRFOXJsmLLTgihAZYDAUAIcFIIsVlKmXmWhDNAfSllohBiBIaes/8zliVJKf2tlY+6ZvcYCSFeF0KczfJYXtB5KYqimCP1uX/kQgMgSEp5TUqZCvwA9DDZn5T7M/1E6zhQmsdEteweIynllxh+c6coilL45aFlJ4QYCgzNtGq1lHJ1puVSQHCm5RDgYUO8BwGZBwo4CCFOYejiXCil3JT77LJTlZ2iKIoCgF6X+1hjxbb6ISHmrumZvSYohOgL1AdaZlr9jJQyVAhRAdgnhLggpbya+wxNqcpOURRFAXLdPZlbIUDmSXtLA6FZg4QQ7YC3gZZSyozfOUspQ43/XhNCHADqAPmu7NQ1O0VRFMVAitw/Hu0kUFkIUV4IYQe8CmzOHCCEqAOsArpn/pmWEMJNCGFvfO4JNAWy3/4jD1TLTlEURQGs27KTUuqEEKOBnRh+evCFlDJQCDEHOCWl3Ay8D5TAMAUjPPiJwXPAKiGEHkOjbGGWUZx5pio7RVEUBQCpt/ineqbbk3IbsC3LupmZnrfL4XVHActn5M5EVXaKoigKYPVrdoWKquwURVEUAPTp1m3ZFSaqslMURVEA63djFiaqsivkLiVbfvNNa/N3i350UAEprHNQRlzfWdApmLW3+vSCTsGsiH3DCjqFHPm2scI9Ah+DuITeFm+jKE+VrCo7RVEUBVAtO0VRFOV/gKrsFEVRlCJPDVBRFEVRijyZu5lRnkqqslMURVEA9Ts7RVEU5X+AXrXsFEVRlKJOdWMqiqIoRZ4ajakoiqIUeWo0pqIoilLkqWt2SqFXe25/fNvWRpeUyqlxq4i/cCNbTPWpL1P2pebYuRZnU6VBGes9Gz1L7Tl9cXnuGU4M/5RbW/+0Wl6OzerjOW04aDTc+Xk78Wt/Mil3qFcDz2nDsa9SgfBJ87m36w8AtH5e+CybidDYgFbL7W9/486PW62WF8CCxe8Q0L4lSUlJjBo+hfPnst8u68WXujJh0nCklISHRTJsyCRiY+KYMu1N+g18hZjoOADmvruEPbsOWjW/rGbMX8qhI3/i7ubKpm9WPtZ93ffcewPwbFsHfVIKF8as4I6Z88q5VnlqfjwCGwc7ovee4Z+31wNQadJLlO7bhtSYOwBcnv8D0XvPIrQaaiwdinOt8giNhtANh7j28W/5zvHI+css+nober2eF1rVY1C3liblYdHxzFj9C3cTk9Hr9Yx9pT3N/aty7EIQy37aRZouHVuthvGvdqBh9Yr5zsOche+/Q0D7ViQlJTFy2BTOnwvMFtPr5a5MmDQCKSVhYZEMGzzRcI5NH0P/ga8QEx0LwNzZS9j9mM+xonzNTt2pvAjwaVMbpwo+7Ggykb/e+py6C183Gxe26wz7Os/Mtj4xJJpTY1cRvPGodROzsaHkjFGEDpvBzW5DcOrcGtuKz5iE6MKiiJy+hLtb95uuj4ol5LXxBL84kpBXx+A2+BU0Jd2tllq79i2pWLEs9f3bMX7MOyz5cE62GI1Gw4LFM+jepR/NG3cjMPASQ4b2zShfuXwdLZt2p2XT7o+9ogPo2TmAlUvnPfb93OfZ1h/H8r4cbjSOi5PWUG3xYLNx1RYPInDSGg43GodjeV882/hnlN1YtY2jbadytO1UoveeBcCneyNs7G050moyR9tPo0y/dhQrUzJfOabr9cxfv4XP3urPxkVj2HHsAldvRZrErPntAB0a1OCneaNYNOr/mL9+CwCuTo58PKEvvyx4k7lDe/H2qp/zlUNOAtq3pGLFctSr3ZZxb85gyUfvZosxnGPv0K1zX5o16srfF/9lyLB+GeUrPv2SFk2606JJ98de0YFhbszcPp42qrLLJyFEdyHE1ILOA8CvYz3+23AYgNi/grB1dsTByzVbXOxfQSRHxmdbnxgSze1/gpF6657BDjWrknYzFF1IOKTpSNh+gBJtGpvE6EIjSL18HfRZfuCTpoO0NACErS3YWPdU7dylHT98vwmAUyfP4uzqhLe36QeuEAIhBI6OxQBwcipBeHhktm09KfX9a+Li7PTE9ufdsT6hGw4BcPu04byyz3Je2Xu5oi1RjPhTVwAI3XAI7071H75hKdE42iM0Nmgc7NCn6dDdTcxXjhevhlDG24PSXu7YarV0bFSTA6f/MQ0SkJCcAkBCYjIlXQ3H8Llyfni5GSZar1Tai9Q0HalpunzlYU7nru344fuNgOEcc3FxzvEcK37/HHMuQXhYhNVyyCu9FLl+PG1UZZdPUsrNUsqFlmxDCKGxRi7FfNxJDI3JWE4Ki6WYr5s1Nm0RjbcHaeFRGcu68Gg0Xp65fr3WpyRlNq6g3L5viF/7E+lRsVbLzdfPm1u3wjKWQ2+F4+vnbRKj0+mYNG4WR45v5e8rR6j6bCW+Xr8ho3zw0L4cPraFTz5bgItr4bs7haXsfd1JuvXgvEoOi8Xe1z1bTHLYg/clOdQ0puwbHWi6fxE1PhqG1qU4AOFbTpCemELr8ytp+denXF/xO2nx9/KVY2TcHXzcXTKWvdydiYi7YxIz4sW2bD1yjoAxixn1wVdM7d8123b2nAzk2bK+2Nla78qOr683t0IynWOh5s+xieNm8seJbfwTdDTbOTZkWD/+OP77EzvHpBS5fjxtVGVnhhCinBDiXyHEWiHERSHEt0KIdkKII0KIK0KIBkKIgUKIT43x64QQHwshjgohrgkhXnrItlsJIfYLIb4DLlgn4eyrZGHoZxDm/iByn5cuPIrgF0bwX8fXceoRgMYje2s1/6llzy3rMdNqtbw+uDctm/WgWuWmBF78l/EThwPwxdrvqFurLS2adCc8PJJ58wvnbV+sLut5ZfYtNsTcXL+bgw3HcKTNVFIi4nn2XUMXsEudish0Pftrj+DQ82MoP7wLxcp6WSUdyP7ebj92nu7N67D748ksn9Sft1f+jD5TT0JQSAQf/biTd17vka8ccpLbc+yNwa/Rsml3nqvUhMCLlxg/6f459i11araheeNuREREPZFzLF0vcv142qjKLmeVgGVALeBZ4DWgGTAJMHcTMF9jeVfgUS2+BsDbUspq5gqFEEOFEKeEEKd2JwaZ3UDFgQG02z2fdrvnkxQRj6OfR0ZZMV93ksOzd1c+aenh0dj6POi20fp4kh4Z85BX5LCdqFhSr/6HQ70aFuUzaEgfDh7ZzMEjmwkPi6BUKd+MMr9SPoSHmXZR1qz1HAA3rt8EYNPG7TRoWAeAqKgY9Ho9Ukq+WvcTdevVsii3wuKZ19vTZO9CmuxdSEpEHMVKPTivHHzdSQmPM4lPCY3FIVNLzsHvQUxq1G3QGy7whHyzD5c6lQDwfbEp0fvOIXXppEbfIe7kJVxqV8hXvt7uzoTH3s5Yjoy9g5eraVfvxoOn6dDQcO7UrvwMKWk64ozdphGxtxm/7DvmDXuJMt4eWGrw0L4cOrqZQ0c3ExYWSanSmc4xv1ycY79uo2HDugBERT44x9Z/+SP16te2OL9HsXbLTgjRUQhxSQgRZO6yjxDCXgjxo7H8hBCiXKayacb1l4QQFt+oUlV2ObsupbwgpdQDgcBeafhadgEoZyZ+k5RSL6X8G/A2U57Zn1LK6zkVSilXSynrSynrBzhWMhtzdd1u9gRMZ0/AdEK3n6Lsy80BcK9bibS7SWavzT1pyRcvYVu2FNpS3mCrpUSnVtzbfzxXr9V4eyLs7QCwcS6BQ51qpF0PsSifz9d8mzGgZOvve3i1d08A6j/vz53bd4mIiDKJDwuNoOqzlfDwNHyYt27dlMuXrwKYXHvp2i2Af/6+bFFuhcXNL3dlDCiJ3H4Kv5dbAOBSrxJpdxNJyXJepUTGk56QjEs9w3nq93ILInacAjC5vufV+XkS/g0GIPlWDO7NqgOgcbTHtW5lEoJC85Vv9QqluBkeQ0hkLGk6HTuOX6Bl3WdNYnw9XDgReA2Aa7ciSU3T4e5cnDv3khj9wdeMfaU9daqUzdf+s1q7+puMASXbft/Nq71fAIzn2J1Hn2Ot2jTl0iVz51j7J3KOWfOanfEyzXKgE1AN6C2EyPoFfxAQJ6WsBHwILDK+thrwKlAd6Ah8ZullH/XTg5ylZHquz7Ssx/xxyxz/qDMhfxcochC+9yw+bf3peGwp6UmpnBq/KqOs3e757AkwNERrzuhNmReaoClmR+fTn3Dju/38veRX3GpXoPEX47FzdcQ3oA7V3urF7lZTLE8sXU/Ue8vxWzMfYWPDnY27SA36D/fR/UkOvEzi/uPY16iC78czsXF2onjrRuhG9ye4+1DsKjyD5+Qhhl5PAfFf/kzqlRuW52S0e+cBAtq35PS5vSQlJTF6xIMvnQePbKZlU0P35OIFn7J1x3ekpaURHBzKqOGG4zJ77mRq1noOKSU3b95iwph3rJZbTt6atZCTZ84TH3+Htj37MnJQP3p1e3x3Zo/acwbPtv60OLGM9KQULox98HOHJnsXcrSt4ZgFTvmcmh+PQONgR9TesxmjLqvM7INzjbIgJUnBUQROWgvAzS92UnPZCJoefB8hBCE/HCDh75v5ylGr0TCtf1dGvL8evV5Pzxb1qFTam+W/7KF6+VK0qvscE1/rxJzPN/HNjqMIAXOGvogQgh92H+dmRAyrN+1n9SbDaOAVkwfi4VLCksOWYdfOAwR0aMVf5/dl/LzlvkNHN2d0gS9e8Albd36HLk1H8M1QRg6fDMC786Y8OMf+u8X4MTOsktfDWPniRwMgSEp5DUAI8QPQA8j8G58ewGzj85+BT4Wh/7cH8IOUMgW4LoQIMm7vWH6TEYXi2k4hY2xK/y6lrGFcXmdc/vl+GfABUF9KOTpzuTE+QUpp9i9GCNEKmCSlzH6V3IyfffsUujfI3y26oFPIUYPgawWdglkR13cWdApm7a1urke+4LXa0qugU8iRb5vCeX02LiHI4gtpR3175frzpknYLw/dn3HsQkcp5WDjcj+goZRydKaYi8aYEOPyVaAhhgrwuJTyG+P6z4Ht9z9j80O17BRFURQA0vMwylIIMRQYmmnVainl6swhZl6WtTLNKcay0W1mqMrODCnlDaBGpuWBOZSty1puXM6xH0RKeQA4YJVEFUVRrEg+8gpMplhDxbb6ISEhQJlMy6WBrBdn78eECCG0gAsQm8vX5okaoKIoiqIAhsGzuX3kwkmgshCivBDCDsOAk81ZYjYDA4zPXwL2GQcCbgZeNY7WLA9UBiyax1C17B4TIURN4Ossq1OklA0LIh9FUZRH0eehZfcoUkqdEGI0sBPQAF9IKQOFEHOAU1LKzcDnwNfGASixGCpEjHE/YRjMogNGSSnTLclHVXaPiZTyAuD/yEBFUZRCIi/dmLnanpTbgG1Z1s3M9DwZeDmH174HvGetXFRlpyiKogCG31UVVaqyUxRFUQBIt3LLrjBRlZ2iKIoCqJadoiiK8j/A2tfsChNV2SmKoigAPIU3M8g1VdkpiqIogHV/elDYqMqukOv6u9lRuQXqjRfXF3QKOTpT2Tqz11tbYZ2Dsm3g/IJOwaxvas98dFABOVulXEGn8NhY9EO2Qk5VdoqiKAoAerM3XC4aVGWnKIqiAFa/xU+hoio7RVEUBVA/PVAURVH+B6jRmIqiKEqRp0ZjKoqiKEVeetGt61RlpyiKohioa3aKoihKkadGYyqKoihFnhqgoiiKohR5qhtTKdSOnLvEoq82o9dLXmj9PIO6tzYpD4uOY8bKn7h7Lxm9Xs/YVzvRvM6zJuUvvLWUEb3aMaBrS6vn13/2IPxb1yM1KYWVkz7hxsVrOcZOXDsNr2d8mNJ+LABlq5XjjfeGY2tvhz49nS9nrObquSsW5+TQ5HncJ40EjQ0JG7dzZ90PJuX2dWviNnEkdpUrED1tHol7DxvW16+N+8QRGXG25Z4hato8kg4ctSif594bgGfbOuiTUrgwZgV3LtzIFuNcqzw1Px6BjYMd0XvP8M/bhmnbKk16idJ925AacweAy/N/IHrvWYRWQ42lQ3GuVR6h0RC64RDXPv7NojxzMmP+Ug4d+RN3N1c2fbPysezjYRrO6UfpNv7oklL4Y/xqYi7eyBZTd8rLVHqpGXYuxfmmyuCM9Q1m98GnSTUAtMXscPBw5rtqwyzOqbCdY7mhKjul0ErX65n/5SZWTRuMt4cLr834lFZ1q1GxtHdGzJqN++jQsBavBDTmakgEoxd/yfY6UzPK3//6d5rVrvpY8vNvXRef8n5MaDmSSnWq8Ma8YczsOcVs7PMdG5GcmGyyrve0Afy67CfOHfgL/9Z16T2tP/NefceypGxscJ/yJpEjp6CLiML3m+UkHTxK2vWbGSG6sEhiZi/Gud8rJi9NOXWOsN7DDZtxdsLvt/UkHz9tUTqebf1xLO/L4UbjcKlXiWqLB3O804xscdUWDyJw0hriT12h3ndT8WzjT/S+swDcWLWNGyt+N4n36d4IG3tbjrSajE0xO5ofWkLYxqMkBUdZlK85PTsH8Fqv7kyf+4HVt/0opdvUxrm8D780m0jJuhVpvGAgv3ebnS0uePdf/PPlbnr9YZrjn7O/zXj+3OsBuNcoZ3lShewcy62iPBrTpqATKKyEEAn5fN04IYSjtfPJycWgYMp4e1Da2wNbrZaOjWtz4PTfWZKChKQUABISkynp5pRRtO9kIKW93E0qR2uqF9CAw7/sByDozGUcnYvj6uWWLc7e0YHOg7uz6ZMNpgVSUqxEMQCKOTkSFxlrcU52NaqiCwlFdysMdDru7TxAsVZNTWLSwyJIu3Id9Dl/13Vs14LkIyeRySkW5ePdsT6hGw4BcPt0ELbOjth7uZrE2Hu5oi1RjPhThlZt6IZDeHeq//ANS4nG0R6hsUHjYIc+TYfubqJFueakvn9NXJydHh34GDzToR5BP/8BQNRfV7FzKU6xLMfvfllSZPxDt1WhZ2OubzpmcU6F7RzLLX0eHpYQQrgLIXYLIa4Y/832oSCE8BdCHBNCBAohzgsh/i9T2TohxHUhxFnjw/9R+1SVnfWNA3Jd2QkhNJbsLDLuNj4eD/6wvdxdiIi9bRIzolcAW4+cIWD0e4xa/CVTB/QAIDE5lS+3HGB4r3aWpPBQbj4exIbGZCzHhsfg5u2eLe7lib3ZuuY3UpJM/6i/mvMFr00fwCfH1tDn7YH8uOgbi3PSlvREFx6ZsZweGYXGyyPP2yneoRX3du6zOB97X3eSbj04Rslhsdj7umeLSQ57UNEnh5rGlH2jA033L6LGR8PQuhQHIHzLCdITU2h9fiUt//qU6yt+Jy3+nsX5FjaOPm7cy3SO3QuLxdEn+xeqRyleyoMSZbwIOxJocU6F7RzLLZmHh4WmAnullJWBvcblrBKB/lLK6kBH4CMhROZvMW9JKf2Nj7OP2qGq7B5BCFFCCLFXCPGXEOKCEKKHcX1xIcRWIcQ5IcRFIcT/CSHGAH7w/+3dd3wU1frHnw73bwAAIABJREFU8c9DQqSZQKihSFVUpAoWBKSjKMWr2EDh/lAu6PXasCC2i0qxca0ototg94piQTqKNCkiRUWqgCShNxNCyvP7YzbJJllSSJlheN689pXdmbMz32yWOXPOnJlhnojMy2WZR0RklIgsBS4uTD4N8a2TbFcun75oFb07nM+sl0fyyv1/Z+SEj0hLS2PC/2YyoGc7ypU5rTARchXyIurZQtc9tx416sWwfMbSHEW7DujB5Cfe5o6Lb2XyqLcZ8vTtxROqgP97w6pEU7pRfRIXLy98nlCy/2Fz+Ry3TZrFdxf+i4WdHyQp/gBn/3sAAFEtG6KpacxrPozv2/yL+kOvoGzdasWT100h/54F3xw36HMxW7/+EU0rgk35yfAdCyFN8v8opD5A+r3CJgF9sxdQ1d9VdUPg+U5gF1D1RFdox+zydhS4SlUPiUgVYImITMPZ09ipqlcAiEiUqh4UkXuATqq6J5dllgfWqmrIm3aJyBBgCMDLDw1j8N+6H3dB1aOjiNub2TWza99BqlWKzFJm6vxlTHhwMADNz6pL0rEU9h9OYM3G7cxeupb/vD+dwwmJiAgRpUtzQ4+2eX0muep28+V0ur4bAJtXbyS6ZuYebXSNyuzftT9L+TNbNaZ+04a88MPrlAovRVTlKB7+8AmevP4ROlzdiXcffwuApV8v4tZxha/sUnbtJrxG5kY/rFpVUnfvzeUdOZXrdikJ8xZCyondAeyMv3en9oDOABxctYmytSqT/lcsExNNUlzWzyhp5z7KBLXkytTMLHNsd2ZLfseUubSacj8AMX+7hD1zf0ZTUjm25xD7l60nqnkDEv/Yxcnu7IFdOau/MxBrz6rNlA/6jpWPiSYhPvfuylDq97mIJSOL5l6NXviOnYgSHKBSXVVjAVQ1VkRy3QsTkQuACGBT0OSnRORRAi1DVc21r9cqu7wJMFpEOuB8F2oB1YE1wLMiMg74SlUXFGCZqcD/jjdTVScCEwGOrvg81/3BJg1rsy1uLzt27aN6dCTfLv6ZMf+8PkuZmCoVWbp2I30ubc3mP+M5lpxMdGR5/vtY5oivCZ/OolyZiEJXdACz3p3OrHenA9Ci8/l0H9iTxdN+oFHLs0g8nMCBbJXd7CkzmD1lBgBValflvrcfzhiEsn/Xfs65qAm/LllHk0uaEr81ttD5jq1bT3idWoTXrEHKrj2U79GRPQ8V7Cam5S/rzP6X3jzhDNvemcm2d2YCULVrS874vx7ETl1E1PmNSD6cQFK2Y0tJuw6QeuQoUec34uCKjdTs14E/3voWcI7npZev1rMNR37bDsDRP/cS3a4JOz9dQFi506jY6ky2Tpx+wpm95LdJs/lt0mwAandpwTmDurHli8VUbdWQY4cS8jw2l11kwxgiosqza3nhR/qCN75jJ6Ig1WrwTnnAxMC2K33+bKBGiLeOLEgmEYkBJgMDVTW9Ph4BxOFUgBOBB4BRuS3HKru89cdpOp+vqskishUoo6q/i8j5QE9gjIjMVNVcP+wgR1W1SHbXwsPCGDGoD8PGvkVaWhp9O7ahUe0avPLJTJo0qE3H88/l3v5XMurN/zFl+g+IwKih1+bo6iwuq+auoEWn8xn//QSSEpN4ffhLGfNGf/M8D/W8J9f3v/nAq9z8+GBKhZUiOSmZNx98tfChUtPYN+4lqr0yFkqV4si0b0ne/AdRQwdy7JffSfx+MRHnNqbqc49TKrICZTtcTNTQgcT2c4arh8VUJ6x6VZJWrC58FmD37J+o0qUFHZa+QGpiEmvuzBy633bOWBZ1cQ5nrHvgLZq+OIywMhHsnrOKPXOcwxRnPdqfyPPqgiqJ23ezbrizgdz29gyavjCMS757BhFhx4fzOfLLtpwBisB9j41l2U+rOXDgEF36DuC2wTdxda8exbKu7HbMWUXtzs25euFzpCYeY8E9Gdtbes98imndnW1r65HX0+CqtoSXjeDa5S/y+/vzWfX8Z4DThbnliyVFF8pj37H8Kkj3ZPBO+XHmH3cwgIjEi0hMoFUXg9NFGapcJPA18LCqZvyB0luFQJKIvAMMzyuv6An0bZ8KROSIqlYQkTuBRqp6h4h0AuYC9YFjwD5VPSoifYFBqtpXRNYAvVV1S17Lzk+OvFp2bvi/vxVNV09xGFP5sNsRQvr1zypuRwipy7qCtTZKypTmIXv4PaFz9Ti3I4RUd+XsQu/Bjq07IN/bmwf/mHLC6xORZ4C9qjpWRB4EolX1/mxlIoDpwJeq+p9s89IrSgHG4zQgQg1yyWAtu7y9B3wpIsuBVcBvgelNgWdEJA1IBtL7BCcC00UkVlU75ViaMcZ4VAnuWY8FPhaRwcA2oB+AiLQGhqrqLcC1QAegsogMCrxvUGDk5XsiUhXnMNMqYGheK7TK7jjSW16BgSahRkxuBWaEeN9LwEs5SodYtjHGeElaCVV3qroX6BJi+nLglsDzKUDIc41UtXNB12mVnTHGGMAuF2ZOUOA8uuwnsd2kqmvcyGOMMbkpuZMcSp5VdsVIVS90O4MxxuSX3eLHGGOM75XUMTs3WGVnjDEGsDuVG2OMOQXYABVjjDG+Z92YxhhjfM9GYxpjjPE9a9kZ13x15Sd5Fyphd3v4LojNfj/uJUldFT/3H25HCMmr16Ac8HN+r6le8srWbO92hJBSimAZ/q3qrLIzxhgTYANUjDHG+J76uG1nlZ0xxhgAUqyyM8YY43f+reqssjPGGBNgozGNMcb4ng1QMcYY43s2QMUYY4zvWcvOGGOM76X6uGXn4WthGGOMKUlpqvl+FIaIRIvILBHZEPhZ6TjlUkVkVeAxLWh6fRFZGnj/RyISkdc6rWXnE82fuJmYLs1JSTzG8rte58CarTnKNHmwH3WvaU9ExfJ83mhwxvQqF51N81EDiDrnDJYOfZk/v/7xhHNEdmzJGaMGI6VKsfuD2cS98lmW+RIRToMX7qRc04ak7D/MpmHPcmzHbiLbN6f2QzchpcPR5BS2PzmJwwvXUKp8Gc6ZOjrj/aVjKrP3s+/Y/tjbJ5wx3bhnHqV7944kJCZy2z/u5+ef1+Uoc3W/Xtw7fBiqSlzsLm695R727d0PwJChNzNkyE2kpKYw89v5PPrIuEJnWrj6d8ZN/oa0tDSu6ng+g3tdmmV+7J4DPDzxfxxOOEpaWhp3Xtud9i0as3jNRl74eCbJKamUDg/j7ut7cGGThoXOE+zCUTdRu3MLUhKT+OHuiexduzVHmVYP9KPRNe2IiCrPlLNuyZh+weP9qdH2XADCy0ZQpnIk759b/JdQe3j083y/8EeiK1Xk8ymvFfv6shv//Cguv6wzCYmJDB58Nz+tWpujTL9+vRnx4B2EhYUxffocHhzxFABDbr2JYcMGkpqaxl9H/mLobffz668bijVvCbbrHgTmqOpYEXkw8PqBEOUSVbVFiOnjgPGq+qGIvAYMBibktkJr2flAjc7NOb1BDb5tey8r73uLVmP/HrJc7MyfmNsz57UQE3bsYfmdr7N96qLCBSlVirpPDWHDgCdY2+lfVO7bjjJn1s5SpMoNXUk5+Bdr2t1G/BtfUmfkzQCk7DvEhkFPsa7rXWy560UavHAnAGl/HWVd93syHsd27Gb/N0sKlxPo1r0jDRvWo2Xzztx5x0ie/0/OazGGhYUx7ulHuLJnfy656ArWrf2NIf+4CYD2HS7iiiu60vaiK7iozeW8+OKbhc6UmpbG6Elf8up9NzN13L/4dvEaNv25K0uZN76YT48LzuPjJ29n3O3XMXrSlwBUPL0cL94zgP+NuYMnhlzNyNc/LXSeYLU7Nyeyfg3+1+5eFj3wFhePGRSy3PZZK/nyisdyTP/x8feY1n0k07qP5Ne3Z/LH9OVFmu94+vbsxmvPP1ki68ru8ss6c2aj+px9bjuGDXuAV14ek6NMdHQlxo15mO49rqN5i85Uq1aVzp3aAfDBh1Np2aorrdt055nnXuXZp3N+rkUtDc33o5D6AJMCzycBffP7RhERoDOQ/iXP1/vzrOxEpJ6I5Nwd8TgRaSEiPYNe9w7sQSAij4vI8BNY5j0i8ouIrBaROSJSN2heyOZ2Sah52fn88ckCAPat3EjpyHKUqVYxR7l9KzdydNeBHNMTduzh4K/b0bTCfYHLtzyTpK2xJG2LR5NT2PfFD1TqcUGWMpW6X8CeT+Y5eb5exOntmjkZ1m0hOd5pMSWu30apMhFIRNaOh9Pqx1C6ShRHlv5SqJwAV1zZlQ8+mArA8mWriIqKpHr1qlnKiAgiUL5cWQBOj6xAXKxT+Qy+5UbGP/cax44dA2DP7r2FzrR20w7qVK9M7WrRlA4P57KLmjJ/xa9ZCwkcOZoEwJGEo1SteDoA59SrSbVKkQA0ql2NY8kpHEsuiksDO87ocT4bP/0BgN0rNxERVZ6yIb5ju1duIjHEdyxYg74Xs+XzxUWWLTetWzQlKvL0EllXdr169WDye872eOmPK4mqGEWNGtWylGlQ/ww2bNjMnj37AJgzdwFXXeVstg4fPpJRrnz5cmghuw7zQwvwr5Cqq2osQOBnteOUKyMiy0VkiYikV2iVgQOqmv4F3wHUymuFxdqNKSLhQYFKWgugNfANgKpOAwpbCf0EtFbVBBEZBjwNXBeYd7zmdq5EJExVC3UbqbI1oknYmbmxTYzdR9mYSiErtuIUUSOaYzv3ZLw+FruX8i3PylKmdI3KmWVS00g9lEB4pdNJ2X84o0ylKy7mr7Wb0WNZvzqV+7Rn37QfiiRrTEx1/tyxM+P1zp1x1KxZg/j43RnTUlJSuOeuR1m09BsSEhLZtGkr997t7F03bFSfiy9pwyOP3cvRpCQeeWgMK1euKVSmXfsPUSM6KuN1tehI1mzakaXMsL91Yei4//LBzCUkJh1j4oM5W/Gzl63j7LoxRJQuuv/e5WpU4q+g79hfsfsoV6NSnhVbduVrVaZCnWrELszZZew3tWrWYMf2zO/YnztiqVWzBnFxma31jZu20rhxI+rWrc2OHbH06d2DiIjMw0/Dhg7krjuHEBERQbce1xZ75oKMxhSRIcCQoEkTVXVi0PzZQI0Qbx1ZgNWcoao7RaQBMFdE1gCHQpTLs/bNbzdmuIhMCrRoPhWRciLyqIgsE5G1IjIx0LREROaLyGgR+Q64M9TCAgcXFwfe/4SIHAlM7ygiXwWVe1lEBgWe57a+cSLyo4j8LiLtAwcrRwHXBVpa14nIIBF5OUSWhiLyrYisEJEFInL28T4EVZ2nqgmBl0uA2scrmxsR2Rr4fX4A+p3IMrIuMOekktgLzJkjZJC8iwQ9L3NWHWo/dDN/PJDz+Ep0n3bs/XxBIUOm58gZJPtnFh4ezuBb+tPhkt40bnQx69b+xj3Dh2XMq1gxii6druaRkWP577svFTpTqD9Z9pzTF6+md/uWzHrxfl4ZfjMjX/uUtLTMTdTGHfH856MZPPL3PoXOky1I/gLnoUGfi9n69Y+F7kU4GeTnO3bgwEH+eccIPnhvAt/Nm8ofW3eQkpK5kzfhtUk0PucSRox8iodGhNycFqlU0vL9UNWJqto66DExeFmq2lVVzwvx+AKIF5EYgMDPXaHyqOrOwM/NwHygJbAHqCgi6XtztYGdod4fLL+VXWOcWrsZTq16G/CyqrZR1fOAssCVQeUrquqlqvrccZb3AjBBVdsAcfnMkNv6wlX1AuAu4DFVPQY8Cnykqi1U9aNcljsRuENVzweGA6/mM89gYHrQ61DN7dwcVdV2qvph9hkiMiSwrOWzEjaGfHPDQd3oOms0XWeNJjH+AOVqVs6YVzYmmqNxJduqA6clF1GzSsbriJjKJMfvO36ZsFKERZYjNdCqKx1TmTPfepAtd75A0h9ZvxZlz62HhIeRsGbzCee7ZcgAFiz6kgWLviQudhe1atfMmFezZg1iY+OzlG/W7BwAtmzZBsDUz77hwgtbAbDzzzi+nDYDgJUrVpOWlkblKtEnnA2genQkcfsOZrzete8Q1Spm7YKb+t0Kelx4HgDNzzyDpOQU9h929r/i9x3k7hfe58l/XEOd6pUprLMHdqX3zKfoPfMpEuL2Uz7oO1Y+JpqE+IJ/x+r3uYgtX5RMF6Ybhg0dyPJlM1m+bCY7Y+OoXSfzO1ardgw7s33HAL76ehZt2/WiXYferP99Exs35rwn40cffUGf3j2KNTs4Lbv8PgppGjAw8Hwg8EX2AiJSSUROCzyvAlwC/KLOHsM84Jrc3p9dfiu77aq6MPB8CtAO6BQY+rkG52Bhk6DyuVUuBEJ/EHg+OZ8Zcltf+pC/FUC9fC4PEakAtAU+EZFVwOtATD7eNwCni/SZoMlnqGpr4EbgPyKS11C4435GwXtM3co1Cllm039nMbvbQ8zu9hA7py+nbj/nhpLRrRqRfDixxLswAf5atYHT6scQUacaUjqc6D7t2D9zWZYyB2Yuo0q/Tk7WK9pyeKHT9RcWWY6z3h3JjjGTObL8txzLrtynfaFbdW9OnEL7tr1o37YXX301kxtuuAqA1m1acOjQ4SxdmAA7d8bT+OxGGZVYp87tWL/e2fn4+quZdLj0YgAaNqpH6YgI9u7JWrEXVJMGtdgWt5cdu/aRnJLCt0vWcGmrrB0NMZWjWLrOqfA3/7mLY8kpREeW59Bfifzz2cnceW13Wp5VN9TiC+y3SbMzBpVsm7GCRtc4AyeqtmrIsUMJBe7CjGwYQ0RUeXYtL94RhW6a8NokWrfpTus23Zk2bQY39Xe2xxde0IpDBw9l6cJMV7WqsxNRsWIUQ4cO5K23nU1jo0b1M8pc0bMrG0JUgkVNVfP9KKSxQDcR2QB0C7xGRFqLSPpor3OA5SLyM07lNlZV0w/YPwDcIyIbcY7hvZXXCvPbqZ/9N1OcFlBrVd0uIo8DZYLm/3UCywTnZrvBFXAZABEpk8f6kgI/UynYcchSOAc6832sTUS64vQ5X6qq6evN0twWkfk4ze1NuSwqP59RvsTNWUWNLi24bPHzpCYeY/ndr2fM6zprNLO7PQRA04dvoM5VbQkrG0HPFS+x9f15/PLcZ1Rq3oCL376biIrliOnWknPvu5pZHUONAs5DahrbHn6Dxu8/BqVKseejORz9fTs1h99Aws8bOTBrGbs/nE2DF++i6Q+vknLgCJtvcxr/1f7ek9PqxVDzrmupeZdzbGL9Df8mZa/T0qnUqy0bbiq6UXUzZ8yne4+OrFo9l4TEo9w+NPP3XbDoS9q37UVc3C7GjXmR6TM+IDk5he3b/mTY0PsBmPzup7wyYSyLf5xO8rFjDPvHfYXOFB4Wxoibr2TYM5NIS0ujb4fzaVS7Oq/8bzZN6teiY6tzuPfGyxn11udM+XYRIjBqyN8QET6ctYRt8XuZ+Pk8Jn7uDACacP8gKkdVKHQugB1zVlG7c3OuXvgcqYnHWHBPZo9V75lPMa27cxim9cjraXBVW8LLRnDt8hf5/f35rHre2Rdt0OditnxR+JG0BXHfY2NZ9tNqDhw4RJe+A7ht8E1c3av4W0gA30yfw2WXdWb9rwtJSEzkllvuyZi3fNlMWrfpDjinJzRr5pyW8eRT49mwwdmZuW3YILp0aU9ycgoH9h/k/wbfVeyZS+pC0Kq6F+gSYvpy4JbA80VA0+O8fzNwQah5xyN51dAiUg/YArRV1cUi8gbwG3A/TisqDOf41aeq+nhgQz88EPp4y5wGfKyqUwIDPZ5R1QoiUgdYgNNtWgZYBfwb+BxYn9f6Ak3d5apaT0SuBnqr6sDAOgfhVJb/DFSWR1T1WRFZhHO+xieB44DNVPXn4+RuiTPc9TJV3RA0vRKQoKpJgQyLgT5BeyHZl7M1kGVPqPnBPo3p77mDG3VLJeRdyCVdD652O0JI8XPHuh0hpA+uyrP3xxUDfs55KohXlK3Z3u0IIaUc+zPEgdWC6XXGlfne3ny57atCr68k5bcb81dgoIisBqJxTt57A1iDUxEty+W9odwJ3C4iy4CM4Wequh34GFgNvIcz+hFVPXAC65sHnJs+QCWXcv2BwYGm8jqc8z+O5xmgAoFuz6BTDHJrbhtjzEmhIANUTjZ5tuxKJITIEVUtmv4Wn7GWXcFYy65grGVXcH5u2V1e5/J8b2+mb59+UrXs7HJhxhhjALvrwQkTkZHkPI/sE1V9KniC11p1+c2dj+VMBepnm/yAqs4oTD5jjCkOdj+7ExSoHApUQXhBUeVW1auKII4xxpSIkhqN6QbrxjTGGAO4dOWlEmKVnTHGGICTcpRlflllZ4wxBqDQN2X1MqvsjDHGACV689YSZ5WdMcYYwAaoGGOMOQVYZWdc06rK7rwLlbB1uwt/+5jiEj+r6C4WXZRiOo9wO0JIq86q53aEkLx6lRKAxJ1Fc09FL0pVG6BijDHG5+ykcmOMMb5n59kZY4zxPTtmZ4wxxvesZWeMMcb3rGVnjDHG9/w8GjO/dyo3xhjjc1qAf4UhItEiMktENgR+VgpRppOIrAp6HBWRvoF5/xWRLUHzWuS1TqvsjDHGAM61MfP7KKQHgTmqeiYwJ/A6C1Wdp6otVLUF0BlIAGYGFbkvfb6qrsprhVbZGWOMAUquZQf0ASYFnk8C+uZR/hpguqomnOgKrbIzxhgDlGjLrrqqxgIEflbLo/z1wAfZpj0lIqtFZLyInJbXCq2y84Gyl7Sm9rS3qPP1O0QNvi7H/DLnN6XWR69Q/6fplO+W8zJMUr4cZ8x+n8oP3V4keZo8OZDOi8dz6dxxRDWtF7JMVLP6XDpvHJ0Xj6fJkwMzpkc2qUu7r0fRYfYY2s94iootGwJQoVFNLvnq3/T8410aDLui0BkXrt5A7wdf4sr7X+Ctr3Je/il27wEGj/0v1z76Gtc8/CoLfv4dgANHEhg89r9c9I+nGD3560LnCGXsM4+w4uc5/LDkK5o1bxKyzNX9rmTh0q/5YclXfDL1baIrO4c8HnjoX6z7/Qe+XzSN7xdNo1v3S4skU5m2baj52TvU/GISkYOuzzH/tFZNqfHeBM74cQblumR+x05r3ZyYD17LeJyx+BvKdmxbJJmCjX9+FL/98gMrV8yiZYvzQpbp1683K1fM4udVcxk7ZmTG9CG33sRPK2ezfNlMvps3lXPOObPI82X38Ojn6XDF9fQdMLTY11UQBWnZicgQEVke9BgSvCwRmS0ia0M8+hQkk4jEAE2BGUGTRwBnA22AaOCBvJZjld3JrlQpqoz8J3G3jWR7n1upcHlHSjc4I0uRlNhd7H7kWY58MzfkIqL/OZCjK1YXSZxqXVpQoUEN5l58Nz8Pf4Om4waHLNd03P+xevibzL34bio0qEG1zs0BOPeRG/n9uf/xfdcRrH/6E8555EYAjh04wtqHJ7F5wleFzpialsboyd/w6j39mTr6dr5dupZNf+7KUuaNad/T44ImfDxqKOOGXcPod52KLaJ0OLf/rRP3XNe90DlC6db9Uho2rMf5zbtw1x0P89x//p2jTFhYGGOefoRePQfQ7qIr+WXtb9z6j5sy5k94+R06tO1Nh7a9mTXzu8KHKlWK6AfuYNcdD7Hz6sGUv6wTpevn/I7tffxp/vo263csafnPxN4wlNgbhhL/j/tIO3qUo0tWFD5TkMsv68yZjepz9rntGDbsAV55eUyOMtHRlRg35mG697iO5i06U61aVTp3agfABx9OpWWrrrRu051nnnuVZ59+rEjzhdK3Zzdee95713FN1bR8P1R1oqq2DnpMDF6WqnZV1fNCPL4A4gOVWHpltitUnoBrgamqmhy07Fh1JAHvABfk9bvlWdmJSD0RWZtXOa8RkRYi0jPodW8ReTDw/HERGX4CyxwfNPrndxE5EDQvNWjetKL5LfJ2WtPGJG/bScqOOEhJ4a/p31G+U9Y955Sd8Rz7fQuE6HqIOPdMwipXImFR0WyAavQ4n+0fOy2lAys3UjqyHKdVq5g1c7WKlK5Qlv0rNgCw/eMF1LisNeCc1Bp+elkAwk8vx9G4/QAc23OIg6s2k5aSWuiMazf/SZ3q0dSuFk3p8HAuu/A85v+0PmshEY4kJgFwJDGJqpVOB6DcaRG0Oqsup5UunrN2el7ZlQ8/mArA8mWriIqKpHr1qtmiCSJC+XLO53R6ZAXiYuOLJQ9AxHmNSdmxk5Q/Y53v2Iz5lO14SZYyqbHxJG/YAmnHH7permsHji5chh5NKtJ8vXr1YPJ7nwKw9MeVRFWMokaNrL1iDeqfwYYNm9mzZx8Ac+Yu4KqrnM3D4cNHMsqVL1+uRE6sbt2iKVGRpxf7egpKNS3fj0KaBqR36QwEvsil7A1k68IMqigF53hfnnVUsZ5nJyLhqppSnOvIRQugNfANgKpOw/mAT5iq3p3+XETuAFoGzU4MjBoqEBEJU9UT3oKHV6tCSlzmnRFS4ndzWrOz87tyKg8fwq4RT1P2ogJHD6lMTDRHd+7NeJ0Yu48yMdEk7TqQpUxi7L6M10dj91ImJhqAdY++y0UfjODcRwdAKWFhr6Lfy961/xA1oiMzXlerFMmazTuylBnWtyNDn53MB7OXkpiUzMT7by7yHKHExFTnzx2xGa937owjpmZ14uOD/sYpKdx716P8sPQbEhIS2LxpK8Pvfjxj/q3/uInrb7yKn1au4eGHxnDwwKFCZQqvWoWUuMwd79Rdu4k4L5/fsSDle3Tk0JRPC5UllFo1a7Bj+86M13/uiKVWzRrEBWXeuGkrjRs3om7d2uzYEUuf3j2IiIjImD9s6EDuunMIERERdOtxbZFnPFmU4EnlY4GPRWQwsA3oByAirYGhqnpL4HU9oA6QvYviPRGpCgiwCsizPzi/3ZjhIjIpcDDwUxEpJyKPisiyQB/sxEANi4jMF5HRIvIdcGeohYlIfRFZHHj/EyJyJDC9o4h8FVTuZREZFHie2/rGiciPgdZWexGJAEYB1wVaWteJyCAReTlEloYi8q2IrBCRBSKS3//FOfY28kv3m+j0AAAWkklEQVREtgZ+nx8I/JFPmISYls8908jre5Gw4EdS44vwNkISIlD2PCGLOGXqDuzGuscmM/v8f7Lusck0f35IzsKFFOrjkWyhpi9ZQ+9LWjBr/L28ck9/Rk78jLRcWi1FRUJ8ftlbGuHh4fzfLTdy6SW9OadRW9atXc/dw53/62+/+R4tm3am/cW9iI/fzZOji+DWQiH/pgVbRFiVaEo3qk/i4uWFz5NNfj6zAwcO8s87RvDBexP4bt5U/ti6g5SUzP3wCa9NovE5lzBi5FM8NCLkZuuUoKr5fhRyPXtVtYuqnhn4uS8wfXl6RRd4vVVVa2m2pqSqdlbVpoFu0QGqeiT7OrLLb2XXGJioqs2AQ8BtwMuq2kZVzwPKAlcGla+oqpeq6nPHWd4LwARVbQPE5TNDbusLV9ULgLuAx1T1GPAo8FHgHIyPclnuROAOVT0fGA68mlcQEakL1AeCD1CUCRykXZJ+4mMejqpqO1X9MMTyMw78frBvR6j3ZkiJ30N4jcxurvDqVUndtS+Xd2Q6rfm5RN3Qhzrfvkvle4dweq+uRN/1f/l6b7B6f+9Gh9lj6DB7DEfj9lOmZub97srGRGd0RaY7unMfZQMtOYAyMZVJCpSpc20HYr/+EYDYaUsyBqgUperRkcTty2zt7Np/iGqVsnYpTf3+J3pc4AwOad6oDknJKew/csKjnnN1y5ABGQNKYmN3Uat2TMa8mjVrEBeb9XBG02bnALB1yzYAPv/sGy68sBUAu3ftJS0tDVVl0jsfcX7r5oXOl7JrN+FB3YJh1aqSuntvLu/IqVy3S0mYtxCKoBsanJbY8mUzWb5sJjtj46hdp2bGvFq1Y9gZolv3q69n0bZdL9p16M363zexceOWHGU++ugL+vTuUSQZT0ZpaL4fJ5v8VnbbVXVh4PkUoB3QSUSWisganBP+goeN5Va5AFxCZqtocj4z5La+zwI/VwD18rk8RKQC0Bb4RERWAa8DMbm/C3CGwX6arfvxDFVtDdwI/EdE8tpKH/czCj7we0N07VwXkrR2PaXr1iK8Vg0ID6f85Zfy1/zF+fgVYPeDY9nWfQDbL7uZvc9N5PCXs9n3n7fz9d5gW9+ZxfddR/B91xHEfbucOtc6o/EqtmpE8uGELF2YAEm7DpDy11EqtmoEQJ1r2xM3wzlmeDRuP5XbOhvzKu2a8Nfm/O4L5V+T+jXZFr+XHbv3k5ySwrdL13Jpy8ZZysRUjmLpL5sB2LxzN8eSU4g+vXyRZwF4c+KUjAEl33w1i+tvuAqA1m1acOjQ4SxdmACxO+NpfHYjKldxdhg6dr6E9es3AWQ5vndlr+78+svvhc53bN16wuvUIrxm4DvWoyOJ3y0q0DLKX9Y5x+CVwpjw2iRat+lO6zbdmTZtBjf1vwaACy9oxaGDh7J0YaarWtXZCatYMYqhQwfy1tvOJqhRo/oZZa7o2ZUNISrBU0VqWlq+Hyeb/B6zy16NK04LqLWqbheRx4EyQfP/OoFlAqSQtQIuAyAiZfJYX/oR71QKdhyyFHDgBI61XQ9kGaevqjsDPzeLyHyc43mbcllGfj6jvKWmsWf0y9R4bTQSVorDU2eQvOkPKt1+M0nrfidh/hJOa3IW1V94jFKnn065Sy+i0m03seOqou8eBNg1+yeqdWlB5yX/ITUxiVV3vZ4xr8PsMXzf1elWW/3A27R4YShhZSLYNXcVu+Y4F0BYPfwNmjxxMxIeRlpSMqvvexOA06pG0X7GU87glTSlwa2XM7/DfaQcSSxwxvCwMEYM6MmwZyeTlqb0bd+SRrWq8cpnc2lSvyYdW57Nvdd3Z9Q7XzJl5hIEGHVL34zussvvHc+Ro0kkp6Qyb+VvvDb8JhrWyus0ofyZOWM+3Xp0ZOXquSQmJnL70MwR1d8vmkaHtr2Ji9vF02Ne4usZ75OSnML2bTu5bej9APz7yQdo2uwcVJVtf/zJ3f96uPChUtPYN+4lqr0yFkqV4si0b0ne/AdRQwdy7JffSfx+MRHnNqbqc49TKrICZTtcTNTQgcT2c3qjwmKqE1a9KklFNOI3u2+mz+Gyyzqz/teFJCQmcsst92TMW75sJq3bOCNnxz8/imbNzgXgyafGs2GDszNz27BBdOnSnuTkFA7sP8j/Db6rWHIGu++xsSz7aTUHDhyiS98B3Db4Jq7u5X6L0s83b5W8+l4DBwi3AG1VdbGIvAH8BtyP04oKA5bgtHQeD2zoh6vqcTvnA6MVP1bVKSIyDHhGVSuISB1gAU63aRmcA4//Bj4H1ue1PhGpAixX1XoicjXQW1UHBtY5CKey/Gegsjyiqs+KyCJgvKp+EjgO2ExVf84le2Oc8z3qa+DDE+e6bgmqmhTIsBjoo6q/HGcZWwNZ9hxvPek2N+3uuW/fut2V8y7kkm5Te7sdIaSYbo+4HSGkVWfVcztCSA3X/up2hONK3JnzvEwvKF2lQagj+AVSPersfG9v4g/+Vuj1laT8dmP+CgwUkdU4J/BNAN4A1uBURMsKuN47gdtFZBkQlT5RVbcDHwOrgfeAnwLTD5zA+uYB56YPUMmlXH9gsIj8DKzDuYxNbm4APtSsewnnAMsDy5gHjD1eRWeMMV7l52N2ebbsSiSEyBFVreB2Di+yll3BWMuuYKxlV3B+btlViTwr39ubPYd+P6ladnY/O2OMMQBFcc1Lzyruk8pHkvM8sk9U9angCV5r1eU3dz6WMxXnFIVgD6jqjFDljTHGTX6+eWuxVnaByqFAFYQXFFVuVb2qCOIYY0yJ8MJhreJi3ZjGGGMA68Y0xhhzCvDzeXZW2RljjAGsZWeMMeYUYMfsjDHG+F6ajcY0xhjjd35u2XniCiqmZIjIEFWd6HaO7CxXwXg1F3g3m+Uy+b02pvGH4rnVQeFZroLxai7wbjbLdYqzys4YY4zvWWVnjDHG96yyO7V49diA5SoYr+YC72azXKc4G6BijDHG96xlZ4wxxvessjPGGON7VtkZY4zxPavsjAFEJExEprid42QjIqVEpK3bObIL5LrW7RyheDmbn1ll52OBDfhst3Nk58VcqpoKVBWRCLezhBLYQK51O0d2qpoGPOd2juwCuf7pdo5QvJzNz+zamD6mqqkikiAiUap60O086byaC9gKLBSRacBf6RNV9XnXEmVmSBORn0XkDFXd5naebGaKyNXAZ+qt4d2zRGQ48BFZ/5773IuUwcvZfMlOPfA5EfkYuAiYRdb/VP9yLRTezCUij4Warqr/LuksoYjIXKAN8CNZP7PeroUCROQwUB5IAY4C4sTSSJdzbQkxWVW1QYmHycbL2fzKKjufE5GBoaar6qSSzhLMq7lyIyIvqeodLq7/0lDTVfW7ks5SECLSRFXXuZ0jOxHppqqz3M4RipeznayssjvFicj/VPVqt3Nk58VcIrJSVVu5neN4RGSxql7sdo7svPq5eTUXeDvbycoGqBivdpt4NZeXlXE7wHGI2wGOw6u5wNvZTkpW2RmvNu29msvLvPqZWa6C83K2k5JVdsbkn+1tG3OSssrOeHUDXuK5RCRHN6CIVAl6+UIJxjkRXv1bHnM7wHFsdTtALra6HcBvrLIzD7ixUhG5M49pbuRaJiIXBeW5GliU/lpV/+tCpoK4yY2Visic3Kap6kXZ55ckEakvIn8TkbODp6vq39zKlM7L2fzGKjufE5E1IrI622OBiIwXkcqqOtOlaKFOPRiU/sSlXDcCL4nIMyLyHnAr0NmFHCEFNoobROSgiBwSkcMicih9vqqW6BVWRKSMiEQDVUSkkohEBx71gJolmSVbrs+DnvcB5gK9gC9EZJBbuQJ5PJvN7+zUA58TkaeBVOD9wKTrAz8PAe1UtVcJ57kBp1JpBywImhUJpKhq15LMk52I9AUmA4eBDqq60c08wURkI9BLVX91OwtktMTvwqnY/iSzG/UQ8IaqvuxSrp9UtWXg+SKgv6puCXRJz1HV5m7k8no2v7PLhfnfJap6SdDrNSKyUFUvEZEBLuRZBMQCVch6TcXDwGoX8mQQkbeAhkAz4CzgSxF5WVVfcTNXkHivVHQAqvoC8IKI3KGqL7mdJ0jwHny4qm4BUNU9IpLmUqZ0Xs7ma1bZ+V8FEblQVZcCiMgFQIXAvJSSDqOqfwB/iEhXIDFwzcezgLOBNSWdJ5u1wC2B6ztuCRy/c/26mEGWi8hHwOdAUvpEVf3MvUgAxInI6ap6WEQeBloBT6rqSpfyNA907wpwmojUUNW4wEW+w1zKdDJk8zXrxvQ5EWkDvI1TwQlOF9Ng4BfgClX92KVcK4D2QCVgCbAcSFDV/m7kORmIyDshJquq/l+JhwkiIqtVtZmItAPGAM8CD6nqhW7myk5EKgLnqOpit7Nk5+VsfmGV3SlCRKJw/t4H3M4CmZdDEpE7gLKq+nTw8QyXMp2Js7E+l6CrkdjFeXOX/ncTkTHAGlV93+2/pTHZWTemzwUquceADoHX3wGjPHBrHRGRi4H+OC1NcP/7+A7OZzUe6AT8HQ+cuyYi9wd2Bl4ixJU13L6DBfCniLwOdAXGichpuDjSW0TqAM8AtYDpwDOqmhyY97mq9nUx2z7gM+ADYK7Hbonka3bqgf+9jTP449rA4xDORt1tdwIjgKmquk5EGgDzXM5UVlXn4LSA/1DVx/HGqQfpg1KWH+fhtmuBGcBlgZ6DaOA+F/O8DcwH7gBigO9EpHJgXl23QgXsBlYBo4AdIvJC8LmdpvhYN6bPicgqVW2R17QSzhQGjFVVNzeIOYjIQpzjiJ/inP/0J07Oxq4GCwgcf30IqEdmK1hVtZlroYKISDWydv+6cpPZ7N/vwKjjEUBv4BM37yYQfDcDETkD51Sg64GKwIeq+pBb2fzO7W4jU/wSRaSdqv4AICKXAIluBgrcqfx8NzMcx11AOeBfwBM4XZk3u5ooqyk4LaY1gGeGqYtIb5zTSGoCu4AzgN+AJi5FKi0iZVT1KICqThGROJzWZ3mXMqXL6BYP7Aw8DTwtIo3JPAfWFAOr7PxvGDApfYAKsI+gK5W46CcRmQZ8Qta7brs5jF5xTiivC5QOTHsD57w7L9itqtPcDhHCEzh3nZ8dGKjSCbjBxTxvAhcCGTe1VdXZItIPp3JxU8iuelVdD/y7hLOcUqwb8xQhIpEAqnoor7IlwYvD6EVkPSFaToFzA10nIl1wKpE5eOg8OxFZrqqtReRnoGXg3MkfVfUCN3PlRURGqOoYt3OE4uVsJyur7HxKRO7Jbb6qeulkaU8QkR9UtZ3bOY5HRKbgnHy/jszK2Avn2c0G+uKctlEFpyuzjaq2dTNXXsTDdwP3craTlXVj+tfpbgcIxePD6B8TkTfxWMspSHNVbep2iBD6AEeBu3FOJYnCGW3oda6fVpILL2c7KVll51Oqmq/+fxe6Sx7AOW6yCdhfguvNj7/jtJxKE9RywjkvyguWiMi5qvqL20GCqepfQS8nuRak4LzcreXlbCclq+xMP5zup5ISLyJ1cSqWTiW43vzwasspXTtgoIhswWl5Ci6eeiAihwm9UU7PFVnCkQrKy60nL2c7KVllZ0r6P9UE4FugAVlPiBacDaebl+byZMspyGVuBwimqp7sKi+AT9wOkAsvZzsp2QCVU5xbB8JFZIKqDivp9eZGRH7FucWPJ1pOpnACd9OYAFRX1fNEpBnQW1WfdDmap7P5lVV2pzi7YG+mQPdqDl459cAUTOA6sPcBrwfdMHWtqp7nbjJvZ/Mr68b0scBluf6lquNzKWbdJQFWqflOOVX9USRLT32J38PxOLyczZfsQtA+pqqpOMPCcyszuoTiGFPS9ohIQwKDaETkGiDW3UgZvJzNl6wb0+dE5Cmc854+Iutludy6i7QxJSJwJ42JQFuc01y2AANUdaubucDb2fzKKjufE5FQ1+JTVfXCrWuMKXYiUh4opaqH3c6SnZez+Y1VdsYYX/HypfK8nM3vbIDKKUBErsC53UrwvcZOhss5GXMivHz+n5ez+Zq17HxORF7DuUdbJ5xbn1wD/Kiqg10NZowxJcgqO58TkdWq2izoZwXgM1Xt7nY2Y4qDly827uVsfmfdmP6XflfyBBGpCewF6ruYx5ji9mvg5/JcS7nDy9l8zSo7//tKRCri3GlgRWDamy7mMaZYqeqXgacJqprlogmBu5W7xsvZ/M66MX1ORMoCw4D2ON0mC4AJqnrU1WDGFLNQ1331yk1RvZzNr6xl53+TgMPAi4HXNwDvAte6lsiYYiQilwM9gVoi8mLQrEhcviSXl7P5nVV2/tdYVZsHvZ4nIj+7lsaY4rcT55hYbzK77sHZ6bvblUSZvJzN16wb0+dE5L/Aa6q6JPD6QmCgqt7majBjipmIlFbVZLdzhOLlbH5lLTufEpE1OMfoSgM3i8i2wOu6gFdvTmpMUbpARB7H+c6Hk3l/QjdvEJzOy9l8yVp2PnW8e7Ols9vZGL8Tkd9wugZXAKnp01V1r2uhArycza+sZedTVpkZw0FVne52iOPwcjZfspadMcaXRGQsEAZ8BiSlT/fC7a28nM2vrLIzxviSl29v5eVsfmWVnTHGGN+zY3bGGN/y8u2tvJzNj0q5HcAYY4pD4PZW1wF34Azt74cz1N91Xs7mV9aNaYzxJS/f3srL2fzKWnbGGL/KfnurZLxzeysvZ/MlO2ZnjPGr9NtbPQOsxLmCkFdub+XlbL5k3ZjGGN8TkdOAMqp60O0s2Xk5m59YZWeM8SURuTnUdFV9t6SzZOflbH5l3ZjGGL9qE/S8DNAFp8vQCxWKl7P5krXsjDGnBBGJAiaram+3s2Tn5Wx+YaMxjTGnigTgTLdDHIeXs/mCdWMaY3xJRL7EGeUIzo79ucDH7iXK5OVsfmXdmMYYXxKRS4NepgB/qOoOt/IE83I2v7LKzhhjjO9ZN6YxxpdE5DCZXYVZZuHcTieyhCNlBvBwNr+yys4Y41fjgThgMk4l0h84XVWfdjWVw8vZfMm6MY0xviQiS1X1wrymucHL2fzKTj0wxvhVqoj0F5EwESklIv2BVLdDBXg5my9ZZWeM8asbgWuB+MCjX2CaF3g5my9ZN6Yx5pQkIiNUdYzbOULxcraTlbXsjDGnqn5uB8iFl7OdlKyyM8acqsTtALnwcraTklV2xphTlZeP4Xg520nJKjtjzKnKy60nL2c7KVllZ4zxncCQ/rvzKPZJiYTJxsvZ/MxGYxpjfElE5qtqR7dzhOLlbH5llZ0xxpdE5CkgCvgI+Ct9uqqudC1UgJez+ZVVdsYYXxKReSEmq6p2LvEw2Xg5m19ZZWeMMcb37K4HxhjfEpErgCZAmfRpqjrKvUSZvJzNj2w0pjHGl0TkNeA64A6cofz9gLquhgrwcja/sm5MY4wvichqVW0W9LMC8Jmqdrdspx5r2Rlj/Cox8DNBRGoCyUB9F/ME83I2X7JjdsYYv/pKRCoCTwMrAtPedDFPMC9n8yXrxjTG+JKIlAWGAe1xrjW5AJigqkddDYa3s/mVVXbGGF8SkY+Bw8CUwKQbgIqqeq17qRxezuZXVtkZY3xJRH5W1eZ5TXODl7P5lQ1QMcb41U8iclH6CxG5EFjoYp5gXs7mS9ayM8b4ioiswTkOVhpoDGwLvK4L/KKq51m2U49VdsYYXxGRXE/OVtU/SipLdl7O5ndW2RljjPE9O2ZnjDHG96yyM8YY43tW2RljjPE9q+yMMcb4nlV2xhhjfO//AQu5sSF2Wh32AAAAAElFTkSuQmCC\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "sns.heatmap(df_5m[['bar_log_r', 'first_r', 'max_r', 'min_r', 'last_r', 'bar_quantile_25_r', 'bar_quantile_75_r']].corr(method='pearson'), annot=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "bar_log_r            0.000489\nfirst_r              0.000302\nmax_r                0.000268\nmin_r                0.000258\nlast_r               0.000266\nbar_quantile_25_r    0.000115\nbar_quantile_75_r    0.000125\ndtype: float64"
     },
     "metadata": {},
     "execution_count": 17
    }
   ],
   "source": [
    "# standard deviations of the return-like features - aggregated features has lower std\n",
    "df_5m[['bar_log_r', 'first_r', 'max_r', 'min_r', 'last_r', 'bar_quantile_25_r', 'bar_quantile_75_r']].std()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Augmentation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When training deep learning models on time series, we have to face two problems. The dataset can be too short to feed a data-hungry neural network, and training on too old data sometimes can be worse than dropping it.\n",
    "\n",
    "Augmenting the data can help to increase the number of samples. With tick data, we can sample bars from any tick. For example, instead of using hourly bars only with 17:00–18:00 ranges we can sample bar sequences where the hourly ranges are from (xH:41min) - (x+1H:41min), or even for every closing tick.\n",
    "\n",
    "In the chart below we can compare a sequence of 5 min bars, and another sequence of 5 min bars shifted by 2 mins. The charts are similar at first, but if we examine them closely we can notice differences, and these differences can be very large if we compare only candles to candles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# resample 5 min data with 2 min shift\n",
    "rs_5m_sft2 = df.resample('5min', base=2)\n",
    "df_5m_sft2 = rs_5m_sft2.agg({ 'Ask price':    ['first',\n",
    "                                    'max',\n",
    "                                    'min',\n",
    "                                    'last',\n",
    "                                    'mean', \n",
    "                                    'std',\n",
    "                                    bar_len,\n",
    "                                    bar_quantile_25,\n",
    "                                    bar_quantile_75,\n",
    "                                    bar_spearman]})\n",
    "df_5m_sft2 = df_5m_sft2['Ask price']\n",
    "df_5m_sft2['bar_log_r'] = np.log(df_5m_sft2['first']/df_5m_sft2['last'])\n",
    "df_5m_sft2 = df_5m_sft2[['first', 'max', 'min', 'last', 'mean', 'std', 'bar_len','bar_quantile_25', 'bar_quantile_75', 'bar_spearman', 'bar_log_r']]\n",
    "df_5m_aux_sft2 = np.log(df_5m_sft2[['first', 'max', 'min', 'last', 'bar_quantile_25', 'bar_quantile_75']].div(df_5m_sft2['mean'], axis=0))\n",
    "df_5m_aux_sft2 = df_5m_aux_sft2.rename(columns={  'first':'first_r',\n",
    "                            'max':'max_r', \n",
    "                            'min':'min_r', \n",
    "                            'last':'last_r', \n",
    "                            'bar_quantile_25':'bar_quantile_25_r', \n",
    "                            'bar_quantile_75':'bar_quantile_75_r'})\n",
    "df_5m_sft2 = pd.concat([df_5m_sft2, df_5m_aux_sft2], axis=1, join='inner')\n",
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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wjaVG8ftVZppHicAKnKM1+PABLZ59JVZfPf3Swr3KTcpzsEpLgdmzY4nGf09hIdDl5ouA3r1j7oM3JheBVi2wCoqrjEqTWwiNiouHuJsVF7cQGpYXtxCaFRi3EJqVF7cQmpUXtxCalRe3EOqVl8othMtWrMHMx+ZbHvAeSiCpV2CNHAn8859xhX5Hu/tx4Tfj6bDiopg8N1NgGZQlBZZBYfEMLLPC4hlYxuVFgWVWZBRYZuVFgWVWXhRYZuVFgaVXXqoEVkurrwJvMBx1+glhV2YltcA64QTgo4+AQw8F2raVCr+hohqer5Y2tb0e9+OMD8dDdMUPCVBgGfQMUGAZFBYFlllhUWAZlxcFllmRUWCZlRcFlll5UWCZlRcFll55BQRWQEAtXPyrOAne0heQUCtXr22awGVjRkidY0WB9RFw8cVS2wALl65H23fnId1XjTLk4vw2b+DtihPw4YeIWmCFZpbfOQ+PT78BfXrl+zMMt2IucM+EsaMwaGC/sG2Cn+Bwz03wc6HX054c1VBgGZQjBZZBYVFgmRUWBZZxeVFgmRUZBZZZeVFgmZUXBZZZeVFg6ZVX6AosvapLgmoCK7AkBNb6OUvQe/0S/6S/SD8e74x9A3PeaIv16xG1wAonDYWwunjcNMyZPSminIpGYAXaDjqsX5PIFLU/8cJbGD70N02iLAlS1GoKFFhaxdFyMRRYBoVFgWVWWBRYxuVFgWVWZBRYZuVFgWVWXhRYZuVFgaVXXhRYNuchIbBqSqtR8tg8dKle7y9mbu/bsP7i2/3/f84cxCSwIm3LDP7z735ct9eZZdEIrGi3foo3VE6Z9hROGz4E9zz4Ig7p3zfq89JsTsuI7imwjIhpT5EUWAaFRYFlVlgUWMblRYFlVmQUWGblRYFlVl4UWGblRYGlV14UWIryEKZpw4a9OwsYqAgrsEK3DD528huoHvzrYVcWt+OiMC8obOk8MiGR7n10HqZOvhw/r98Ss8CSfeNkMBAx9pUTZ+CUYYObrdhSlECr6YYCy6CoKbAMCosCy6ywKLCMy4sCy6zIKLDMyosCy6y8KLDMyosCS6+8KLAU5RFYaRWpuzACK9yWwdCD3gMCK1K34c7GCsglcWi+OMcqVCKJVVBTJ/0ZxaW7/FsKw31a2mYo2rc0RqRaAyuwxNiBc7gU0W9V3VBgGRQ3BZZBYVFgmRUWBZZxeVFgmRUZBZZZeVFgmZUXBZZZeVFg6ZUXBZaiPCKZpsDKrCCB1dKWwdBqAt2GW2kl2oZb2KXzCqyAPKPAiv25o8CKnZ3jd1JgOY48rgGz0r0QvwSUVdbF1Q9vdoZARpoHQoqUVNQ6MyBHiYsABVZc+By/mQLLceRxDUiBFRc+x2+mwHIceVwDUmDFhU/5zRRYypE27zDkDCyrLYORBFa0byHU+QwsrsCK75mjwIqPn6N3U2A5ijvuwSiw4kboaAcUWI7ijnswCqy4ETraAQWWo7jjHowCK26EjnZAgeUo7rgHo8CKG6HSDiiwlOLcu7MggbV+yfq93jIYumVQlcDS8S2E3EKo5lmjwFLD0ZFeKLAcwaxsEAosZSgd6YgCyxHMygahwFKG0pGOKLAcwaxsEAosZSgd6YgCyxHMygahwFKGUklHFFhKMEbu5BeBVeFtizb1pf52wW8ZtBo91rcQin4DEmvl6rX+YfI75+Hx6Tc0nT+1bMUaqUPcQ8/JCu4nsF1x4eKlTVO5bMyIsIe0U2BZpS13nQJLjpMWrSiwtIhBuggKLGlUWjSkwNIiBukiKLCkUWnRkAJLixiki6DAkkalRUMKLC1ikC6CAksalSMNKbDsxVxxxAlo8/VH/kHKkIuxXd5AYb9f3zJoNfq33wKlpUC0Wwit+uV1cwlQYBmUHQWWQWHxEHezwuIh7sblRYFlVmQUWGblRYFlVl4UWGblRYGlV14UWPbmUTj2dnR5/G/4CMdjJN5AKdpGPWBODrBiBdC7d9S38oYkJECBZVCoFFgGhUWBZVZYFFjG5UWBZVZkFFhm5UWBZVZeFFhm5UWBpVdeFFj25zFr/HqUto3dPo0cCRx6qP11cgQzCFBgmZGTv0oKLIPCosAyKywKLOPyosAyKzIKLLPyosAyKy8KLLPyosDSKy8KLL3yYDUkYEWAAsuKkEbXKbA0CkOiFJ6BJQFJoyY8A0ujMCRKocCSgKRREwosjcKQKIUCSwKSRk0osDQKQ6IUCiwJSA42ocByEDaHIgEFBCiwFEB0qgsKLKdIqxmHAksNR6d6ocByirSacSiw1HB0qhcKLKdIqxmHAksNR6d6ocByirSacSiw1HBU1QsFliqS7IcEnCFAgeUMZyWjUGApwehYJxRYjqFWMhAFlhKMjnVCgeUYaiUDUWApwehYJ6oE1qranVhesx2HpXXEgNT2jtXf2gaiwDIrcQosvfKiwNIrD1ZDAlYEKLCsCGl0nQJLozAkSqHAkoCkURMKLI3CkCiFAksCkkZNKLA0CkOilLzLL0Da66+h5MnnUPXHsyXuCN/kT4Xv4pPqrfhjVh881PG4mPvhjS0ToMAy6wmhwNIrLwose/Oorq7GF198EfMgFRUVOOaYY9C2bfRvL4x5UN6oNQEKLK3jaV4cBZZBYfEQd7PC4iHuxuVFgWVWZBRYZuWlSmAN2fwqNtZXIM3lwXc9RyPLlWIWCEOqpcAyJKhfyqTA0isvCix785g3bx5+/PHHuAZJT0/HlVdeSYkVF8XkuZkCy6AsKbAMCosCy6ywKLCMy4sCy6zIKLDMykuVwOq5fi4a4PNP/r4Ox+DcNvuZBcKQaimwDAmKAkvLoCiw7I1lzpw52LBhA7p06QIhomQ+tbW1KCgoaNb0oosuQu/evWVuZ5soCKzbUIAp057C1El/Rn7nDrj1vmcw+PABOPPUoVH04mxTCixnecc1GgVWXPgcv5lbCB1HHteA3EIYFz7Hb6bAchx5XANSYMWFz/GbVQisTfUVGLz51abaB6d3xmtdTnF8Lq1hQAoss1LmCiy98qLAsjePgMA69NBDpVZQbd68GT///HNTUampqRBCK1qBtWzFGlw8blpTPyOGD8YdN16K9PRU/5/NfGI+nn5pYbPJ3znxsojiRoieKyfOQEFRcbN7Av1W1dTg6kmzsHL12qbr+Z3z8Pj0G9CnV769kKPoXcxbfCZcMcr/vxRYUcDToWlBcZUOZUjXQIEljUqLhhRYWsQgXQQFljQqLRpSYGkRg3QRFFjSqLRoqEJgfV5diLML30G/1HZYU1vin9cX3c9Gd28bLeaYTEVQYJmVJgWWXnlRYNmbRzQC69tvv0Vpaam/IK/XiyOOOAJr1qzx/1m0AmvBoo/Ro1tHDBrYD9XVtf6VRV065TWJm1CREwsF0Ufv7l380qukrNwvsCaMHeUfU9dPS/MOcOIKLF3TA0CBpXE4SVAaBZZZIVJgmZUXBZZZeVFgmZWXCoH1csVPmLDjU5zdpi9qfY14s/J/uKntYRjfdqBZMAyolgLLgJCCSqTA0isvCix785ARWOKg96+++gr19fX+YsSB7WLFlvgEpFa0Ait0VkJoLf1mVdMqrHgFlli5dO+j8zB18uVol5sdk8AKXQUWWM1VULSjaVufWL0VEEujTj/BL8cCsiyw2it4dVlgntlZmZj3zw/8GObMnuS/L9yqtEvOOQV/u39uxC2Ewfcc0r8vHpk23j9f8Qmuv6XVZqJdZWUVyit3Y+HipWhppZvM08gthDKUNGnDFViaBCFZBgWWJChNmlFgaRKEZBkUWJKgNGlGgaVJEJJlqBBY95Yux6zSFbi+7UAcntYRFxQtRk9vG3zePfa3GkqW3+qaUWCZFTkFll55UWCpyUOIprKysr06CwioSFsIQ7cM7rvvvujevXtTP1b3Dxw4UGprYqiwCpVH0UqV4NVXothQqWS1fVCIpvlvLWkSQsGCzUpgCakkPsEyS8gtsRJM9HPL9KebSauZj81vGieaLYRinClTn2zaBin6Xr+50L+KTVwT9Qe2ZQbXFPoQiDH/9f5SZdspKbDUfGcd6YUCyxHMygahwFKG0pGOKLAcwaxsEAosZSgd6YgCyxHMygZRIbCu2/ExXqtYi/s7HIuz2vTFYZteRnFDNd7sOgK/SeuorFZ2BFBgmfUUUGDplRcFlpo8AiutIvUWTmCF2zIYetB7cJtwfcuszBJyJVjihPYTON9q6pTLpbb/ha6+CldXqKAKbhNuq140AiucIBJ/JsRS6Eqz0FqjEVjh2gZWnX346bfNBFxLT1G8q91C+6bAUvOddaQXCixHMCsbhAJLGUpHOqLAcgSzskEosJShdKQjCixHMCsbRIXAGrl1EZbVbMOrXU7GkPQuuH3nMjy5axUuyD4A0/KGKKuVHVFgmfYMUGDplRgFlpo8IommwMqsYIHV0pbB0GoC/UZaaWV1OHzoKqJIsw1eURW8Oit025zsOVFiRdaUe57ETVeN3usQ99AtgaKmaAVW6Aqyy8aMsEVghR50H8wjuIbQQ/KDOVNgqfmO+XvhGVgKYbKrvQhQYJn1UFBgmZUXBZZZeVFgmZWXCoF1+KZXUNSwG192H4Vu3iysqt2JkwreRI47Fd/1GA2vy20WFI2r5QosjcMJUxoFll55UWDZm0foGVhWWwYjCSyZlVah98rKK3Ff6JbASFSsVnMF7pMRWMGHpUcjsESthduKw57npXoFVuCQ+paeEiupR4Gl8DtGgaUQJruiwDL8GaDAMitACiyz8qLAMiuveAVWA3zouX4uPHBhY++LmiZ/wpbX8VNdGZ7o9FuMyOxlFhSNq6XA0jgcCiztw6HAsjeiYIG1fv36vd4yGLplUJXAakk0Cbm06P0vcN6Zw/3DiW12U6Y95T/IXByaHunTkqgJPQMqVCSF9hl8XVwTb0kUH3GmVFVNTbM3GgYOUg8cxh4shELfsGglsMJdD8w9v3MHfx0BsRZOAL64YDFOHXYUvly+Bvvt083PiwLL3u9Qs94psByE3QqH4goss0KnwDIrLwoss/KiwDIrr3gF1rq6XRi6ZQF6ebPxWfezmib/WNn3uLPkK5yU2QPPdhpmFhSNq6XA0jgcCiztw6HAsjeigMByu91obGz0Dxb8lkGr0WN9C2HoFjsxTuBg9YCoEW/EC3wCcqilelqSUoFztAqKiv1dhG49DO03IH1EDaKu4wYP9L+lL/hQ9IvHTfPfNvqME/3XAm8hDB5L3JvXPhdHHtZfagth8GHzYttfNG8hFLUEtiqGvtEw8Ofh+HEFltVTHsV1CqwoYLFp1AQosKJGltAbKLASij/qwSmwokaW0BsosBKKP+rB4xVYS6q24Lyi93Bsele83OX3TeOLQ9zFYe7i833Pc/3bCfmJnwAFVvwMneyBWwidpG09FgWWNaN4WjzxxBPYunVrUxdt2rRBhw4dpLssLCyEODMrli2E0oNo0NBqxZYGJWpTAg9x1yYK60J4iLs1I51aUGDplIZ1LRRY1ox0akGBpVMa1rVQYFkz0qlFvALr+fIfMan4c4zJ3h/35h3dbGrnF72HD6u24M72R+HSnP46TdvYWiiwzIqOAkuvvCiw7M3j7bffxtdffx3XIGlpaRg7dqx/5Vayfiiw5JOlwJJnlfCWFFgJjyCqAiiwosKV8MYUWAmPIKoCKLCiwpXwxhRYCY8gqgLiFVh3l3yFR8q+x83tDsd1uYc0G/uNynX4v+3/wcC0DljU9bSo6mLj8AQosMx6Miiw9MqLAsv+PN555x1YnXXVUhX9+vVDly5d7C+UIxhBgALLiJj2FEmBZVBYACiwzMqLAsusvCiwzMqLAsusvOIVWGO3L8FblevxcMfjMDKrT7PJ1/gacPCmeahsrMOSbn/Efim5ZsHRsFoKLA1DaaEkCiy98qLA0isPVkMCVgQosKwIaXSdAkujMCRKocCSgKRREwosjcKQKIUCSwKSRk0osDQKQ6KUeAXWiK1v49uaHXir6wgcnjWK+psAACAASURBVNZxrxFv2PEp5lX8hGtyD8bkdr+RqIhNWiJAgWXW80GBpVdeFFh65cFqSMCKAAWWFSGNrlNgaRSGRCkUWBKQNGpCgaVRGBKlUGBJQNKoCQWWRmFIlBKvwBIrrHY2VGN5jz+hkydjrxE/ry7E2YXvoIsnE1/1OAcuiZrYJDIBCiyzng4KLL3yosDSKw9WQwJWBCiwrAhpdJ0CS6MwJEqhwJKApFETCiyNwpAohQJLApJGTSiwNApDopR4BJbYIthnw/NIc3mwrtcFYUfzAThi0ysobNjtf0uheFshP7EToMCKnV0i7qTASgT1yGNSYOmVB6shASsCjgus6upa3HrfM1i4eKm/tjsnXoYzTx0asU6r9iVl5bh60iysXL3W38ec2ZMwaGC/Zv2t21CAex+dh6mTL0e73OymawXFVVZ8tLpOgaVVHJbFUGBZItKqAQWWVnFYFkOBZYlIqwYUWFrFYVlMPAJrTW0JhhX803+2lTjjKtJneulyzC5dgbPb9MXsDpF/DrQslg1AgWXWQ0CBpVdeFFh65cFqSMCKgOMCa+YT8/01TbhiFALyacLYUXtJp0DhLbUPyK3Bhw/wSzAhqqZMewpTJ/0ZfXrlN/Uv5NYh/fvikWnjKbCsngheV0aAAksZSkc6osByBLOyQSiwlKF0pCMKLEcwKxskHoH1792bcMm293FiRnc833l4xJo21ldgyOZX/Su1Vvcc4/9ffmIjQIEVG7dE3UWBlSjy4celwNIrD1ZDAlYEHBVYQlhNuedJ3HTVaL9gEp9gQRVarFX70JVVoUIr0B9XYFk9BrxuBwEKLDuo2tcnBZZ9bO3omQLLDqr29UmBZR9bFT2nffqfZt1k33cPUj/+COUT/4LaY35dHdWY2xZ1Bx3S4pBP71qNW3d+gYuz++HuvMEttv3D1oX4uma7fwWWWInFT2wEKLBi45aouyiwEkWeAksv8vZW05JjsHdk9m43AUcFVugKKTG5BYs+xtJvVuGOGy9Fenpqs/latf/ux3WY+dj8Ziurwj2sFFh2P0bsPxwBCiyzngsKLLPyosAyKy8KLH3zcpeWosu+e/6jotWn9uih2PHmuy02u33nl3hy1w+4tf0gXJkzoMW2z5f/iEnFn2NoRj7mdT7Janhej0CAAsusR4MCS6+8uAJLrzxUVUOBpYqkfv04LrBCz6KyElgttRcCa/5bS5rJr2gEVm19o36JtFCR+AFFfBoaxfGn/OhOQOQlEqtnXrpH5a/P7XJBfMWYlxFx7cnLDdQ38O9DExIT3y2P2426BrP+vWsC27hrLClBaqcOUt34jjsede9/0GLbs9e/i7fK1uPl3idhZO4+LbYtbahF91VzUe9rxLoDz0d+SpZUHWzUnID4WcPrdaPOsJ9rW2uOIq8Urxum/R6SrHn5fEBaijtZp9dq50WBlbzROy6wgs+oElitBFZL7eNdgbWjrMaoZMUKEfFLW2V1vVF1t9Zi01M98HhcqKxiXiY8A2mpbqR6PSjfXWdCua2+RrGiJz3Ng12VzMuEh8HrcSMrw4OyCualW16u0hLk9d7zFsDGnr2ayhM/bzSK3+zEp7oa7m1FqDtmKMoWvtfiFI7f9AZ+qNmJ93ucgUPS8iyne0nhB3i7Yj1uyTsC17VreXuiZWettIHb7ULbrBTsLK9tpQQMm7YLyMtOQ/Eus34PMYyydLni9yuxa4Kf5CIgBFbhtmJs2rLd/7K3/M55eHz6Dc2OMXr6pYX+SQdfC+wAO234ENzz4Ithz9EW94Trf9Yd12Du/Hf9L6sLHa+lF88JH3LL9KebAgh+KZ0Yp7KyCuWVu8P2m1ypyc3GUYFldaZVaMlW7XkGllzIbJUYAtxCmBjusY7KLYSxkkvMfdxCmBjusY7KLYSxkrP/PndJCbrs1w2+9HRUXHeDf0AhRDJSvais3iMcPRs3IHPeC5DZQthnw/Oo8TXgh55jkOtufjREuNkEDn23emuh/SScH+HRh7x4/98eXH1dPU4c3hBzAdxCGDO6hNzILYQJwR5xUG4hVJPH3wq+UtNRlL2c074v+qe32+suIX6WLV/TdNRQ8KKZqpoaLHr/C5x35p4XjQRklDjSqKBoB66cOAOnDBvsf+lcpE9o/+Kf//X+0iZJFu5FdKNOP6HpxXOBXWYZaWl4deFHOHvE8f7jlESdYodZ4OVzof22tPgnSnTGNndUYAUeEPG/kd5CGPwAiRDjeQthIBWegWXs82l04RRYZsVHgWVWXhRYZuVFgaVvXioFVkljDQ7a+A9ku1OxpucYqUk3wOe/Z1djLRZ1PQ0D0+S2M0p1rnmjG8alYt6LHtw3qxbnnk+BpXlcysqjwFKGUklHFFhKMOLAVfOwurpETWdR9PLDgNERBVbAOYj/DXe2dmCYZSvWNJ2rXVJajtAdYOHKCd2iGCqWgv85dNdY4MVzQmgNGtivWfehdYaOI2oNPUIpClxJ0dRxgRUITCytE587J17mN5GBT6jAsmrf0nK80GtijMvGjGiyqQXFVUaFKP6CFUv6d3GLkxG5UWAZEVNTkRRYZuVFgWVWXhRY+ualUmCtrC3GKQVvYUBqe/w7/w/SkxZvLRRvL7w0pz/ubH+U9H2mN6TAMj3B2OqnwIqNm113UWCpIavjCqxggRW6s0uIoIvHTWua/CH9+/pXPdklsILHCgwa2CoopJVY9VVQVOy/FLz9kAJr7+fTcYGl5iuiphcKLDUc2Ut4AhRYZj0ZFFhm5UWBZVZeFFj65qVSYC2sXI8rti/BKZk98VSnE6UnHRBfOe5UfN/zXHj8r0BJ/g8FVvJnHG6GFFh65U6BpVceqqoJFT/BK5uKS3dhytQnm7b7ObECK9KqqYC8mjrlcv9qLK7Asn4CKLCsGWnTgiuwtIlCqhAKLClM2jSiwNImCqlCKLCkMGnTiAJLmyj2KkSlwHq07HvcVfIVrsgZgNvaD4pq0idseR0/1ZXh2U7DcFJmj6juNbUxBZapycVXNwVWfPxU302BpZqoHv2FCqzgfw4WVu1ys5udO2XHCixx5tbVk2YhcAaWICRqEJ+8tjnNtiyKPw+Wa1yBtffzRIGlx3dMqgoKLClM2jSiwNImCqlCKLCkMGnTiAJLmyikCqHAksKUkEYqBdbk4qV4rnyNfxug2A4Yzefhsu8wteRrjMjshSc6/TaaW41tS4FlbHRxFU6BFRc+5TdTYClHqkWHQvwE3jIoChoxfDDEIe3ijO3QI4qOPfJg7CrfbdsWQjFm6NFGgS2LQqAF13pw/z5+flMn/dn/xkQKLAqsZgS4hVCLv1+StggKLLOipcAyKy8KLLPyosDSNy+VAuv8ovfwYdUWzO00DMOjXEVV2LAbR2x6BR6XG9/1GA2xnTDZPxRYyZ5w+PlRYOmVOwWWXnmwGhKwIsAVWFaENLrOFVgahSFRCgWWBCSNmlBgaRSGRCkUWBKQNGpCgaVRGCGlqBRYx215HWvryvBBt5E4IKVt1JMeXfRvfFxVgGl5Q3BB9gFR32/aDRRYpiWmpl4KLDUcVfVCgaWKJPshAWcIUGA5w1nJKBRYSjA61gkFlmOolQxEgaUEo2OdUGA5hlrJQBRYSjDa0olKgdVz/Vw0wId1vS5AmssTdb2vVqzFuB0f4zdpHfFm1xFR32/aDRRYpiWmpl4KLDUcVfVCgaWKJPshAWcIUGA5w1nJKBRYSjA61gkFlmOolQxEgaUEo2OdUGA5hlrJQBRYSjDa0okqgbWtoQqHbXoZHTzpWNFjdEy11vga0H/jSxD/+3n3s9HT2yamfky5iQLLlKTU1kmBpZZnvL1RYMVLkPeTgLMEKLCc5R3XaBRYceFz/GYKLMeRxzUgBVZc+By/mQLLceRxDUiBFRc+W29WJbC+qtmGM7YuwmFpHfF2HKunxu/4BPMrfsb4tgNxU9vDbJ17ojunwEp0AokZnwIrMdwjjUqBpVcerIYErAhQYFkR0ug6BZZGYUiUQoElAUmjJhRYGoUhUQoFlgQkjZpQYGkURkgpqgTWgsp1uHb7f3BG1j54pOPxMU/40+qtOKfwXXTxZOLrHufE3I8JN1JgmZCS+hopsNQzjadHCqx46PFeEnCeAAWW88xjHpECK2Z0CbmRAish2GMelAIrZnQJuZECKyHYYx6UAitmdLbfqEpgzS5dgemly3FN7sGY3O43MdftA/xvIxRvJXytyykYnN455r50v5ECS/eE7KmPAsserrH2SoEVKzneRwKJIUCBlRjuMY1KgRUTtoTdRIGVMPQxDUyBFRO2hN1EgZUw9DENTIEVEzZHblIlsG7c8Sn+UfET/p53NM7P3j+u2qeVfIMHy1bi3Db74b4Ox8TVl843U2DpnI59tVFg2cc2lp4psGKhxntIIHEEKLASxz7qkSmwokaW0BsosBKKP+rBKbCiRpbQGyiwEoo/6sEpsKJG5tgNqgSW2PYntv/9o/NJOC4jP676N9ZXYMjmV5HlTsF3PUbH9EbDuApw6GYKLIdAazYMBZZegVBg6ZUHqyEBKwIUWFaENLpOgaVRGBKlUGBJQNKoCQWWRmFIlEKBJQFJoyYUWBqFEVKKKoElhJMQT592OxO9U3LinvCIrW/j25od/vO0xLlayfihwErGVK3nRIFlzcjJFhRYTtLmWCQQPwEKrPgZOtYDBZZjqJUMRIGlBKNjnVBgOYZayUAUWEowOtYJBZZjqKMeSJXA6rl+Lhrgw8beF8EDV9R1hN7w7K7V+OvOL3BiRjc83/l3cfenYwcUWDqmYn9NFFj2M45mBAqsaGixLQkkngAFVuIzkK6AAksalRYNKbC0iEG6CAosaVRaNKTA0iIG6SIosKRROd5QhcDaVF+BwZtfRb43C8u6j1Iyh12NtTh40zz4fD4s7/En5HnSlfSrUycUWDql4VwtFFjOsZYZiQJLhhLbkIA+BCiw9MnCshIKLEtEWjWgwNIqDstiKLAsEWnVgAJLqzgsi6HAskSUsAYqBNZn1YUYVfiO/42B4s2Bqj6XbfsA7+zeiNvaD8IVOQNUdatNPxRY2kThaCG5t09B1kOzsOv2u1FxzfWOjs3B9iZAgcWnggTMIkCBZVBeFFgGhQWAAsusvCiwzMqLAsusvCiw9M1LhcB6ueInTNjxKc5u0xezOwxVNtl/7d6IP2/7AAemtsd7+X9Q1q8uHVFg6ZKEs3VQYDnL22o0CiwrQrxOAnoRoMDSK48Wq6HAMigsCiyzwgJAgWVWZBRYZuVFgaVvXioE1r2lyzGrdAUmtD0UN7Q9VNlk632N/m2EYjvhkm5/xH4pucr61qEjCiwdUnC+Bgos55m3NCIFll55sBoSsCJAgWVFSKPrFFgahSFRCldgSUDSqAkFlkZhSJRCgSUBSaMmFFgahRFSigqBdd2Oj/FaxVrM6nAsRrXZV+lkpxQvxdzyNbgyZwBubT9Iad+J7owCK9EJJGZ8CqzEcI80KgWWXnmwGhKwIkCBZUVIo+sUWBqFIVEKBZYEJI2aUGBpFIZEKRRYEpA0akKBpVEYNgiskVsXYVnNNv/5V+IcLJWf5TXbcdrWhf5D3MVh7irecKiyvnj6osCKh56591Jg6ZUdBZZeebAaErAiQIFlRUij6xRYGoUhUQoFlgQkjZpQYGkUhkQpFFgSkDRqQoGlURg2CKzfbHoFhQ278VX3UejqzVI+2WO2LMD6ul24Kvcg/LXdEcr7T1SHFFiJIp/YcSmwEss/dHQKLL3yYDUkYEWAAsuKkEbXKbA0CkOiFAosCUgaNaHA0igMiVIosCQgadSEAkujMGwQWN3Wz/H3uqX3xbZM9NWKtRi342N/3wNS2+OpTieip7eNLWM52SkFlpO09RmLAkufLEQlFFh65cFqSMCKAAWWFSGNrlNgaRSGRCkUWBKQNGpCgaVRGBKlUGBJQNKoCQWWRmEoFljr6nZh6JYF6J2Sg0+7nWnbRL+p2Y7Ltn2AbQ1VaONOwcy8YzAiq7dt4znRMQWWE5T1G4MCS69MQgVWSVk5ptzzJG66ajT69Mrfq9h1Gwpw76PzMHXy5WiXm+2/Lv7syokzUFBU3Kz9iOGDcceNlyI9PXWvfmY+MR9Pv7Sw6c/nzJ6EQQP76QWH1ZCAhgQosDQMJVJJFFgGhcW3EJoVFt9CaFxeFFhmRUaBpW9e8R7ivqRqC84reg9DM/Ixr/NJtk60rLEWV21fgo+qCvzjXJTdD39rfyRSXG5bx7Wrcwosu8jq3S8Fll75BARWdXUtbr3vGSxcvBT5nfPw+PQbmgksIbaunjQLK1evxSH9++KRaeObBFa4GQlB1bt7F5x56tC9Lou+nn35HVx94Rl+uSUE2JRpT2HqpD+HlWZ6EWM1JJBYAhRYieUf1egUWFHhSnhjrsBKeARRFcAVWFHhSnhjCqyERxBVARRYUeFytHG8Auv58h8xqfhznJe9P6bnHe1I7U/uWoW7Sr5Gva8RB6W2x5OGbimkwHLkcdFuEAosvSJRsQIrdEbhVmm1NOuAHJswdhRXYen1eLAaDQlQYGkYSqSSKLAMCosrsMwKiyuwjMuLAsusyCiw9M0rXoF1d8lXeKTse0xqdziuzT3EsYn+ULsTl277AJvqK4zdUkiB5djjotVAFFhaxbHXGVixbCEMnVFLq6/CzX7ZijWYMvXJvVZ96UWK1ZCAHgRatcAqrazTIwXJKtJT3HC5XKiqbZC8g80SSSDN64bbzbwSmUE0Y6d6XUjxuFFZw+9XNNwS1TbF40JqihuV1cwrURlEM67X7UJ6mgcVVfXR3Ma2DhBwlexEbo8u8KWno2bCTf4RXS4g1etBTd2e75d7wwakvvgc6o89DhXvLG5W1SVb3scb5f/D0/m/xZk5fR2o+NchKhvrcOXWJVhYvsH/h39udyDu7jQYqYZsKbz2ag9eeM6NBx5uwAUXNcbMzu3acxD1rt38fsUM0cEbM/4yCWmzZ6LqrntQM/4GB0fmUOEIiN+v0lM9TZfiFVjRrL4KPjuLZ2Dx+SQBOQKtWmDtrjbrX/RerxsuAHX1sf+QI/dYsJUKAiIv8UNlbR3zUsHT7j48Hjc8bhdqf/mFze7x2H98BDxuN7xeF2oo9OMD6dDdQuaLVVjVzMsh4vLDCIGVkd8ZSE9H3Y0T99zoArweN+p/+XnDtWE9vM8/h8ahx6H63+836/y4dW/g66rtWNLnDAzK6CQ/sMKWT+1cjZsLP0e1rwED0/PwUo/foXfqnsOVdf5cNdaN5+a68cijjbjo4th/VhD/cVP8Al5VY9bPtTpnY2dtKVNuRsr9M1E3dRrqrqfAspO1TN/i57+0lF/P0YtHYAXO0Rp8+ICwZ19FqodbCGWSYhsS+OVHFJ/P52utMAqKq4yaOrcQGhUXeAaWWXnxDCyz8uIWQrPy4hZCffOKdwvhwZvmYWdDNVb0GI0OnvSETfTHulJcUvQ+NtSX+7cUPtjhOJyU2SNh9cgMzC2EMpSSrw23EOqVqcozsMRWwJmPzbc84D0cgWi3HepFkdWQgHMEWvUKLAos5x601jgSBZZZqVNgmZUXBZZZeVFg6ZtXPAKrxteAPhueR5rLg3W9Lkj4JKt89ZhcvBTzK37213JpTn/c2m6Qtm8ppMBK+COTkAIosBKCPeKgqgRWS6uvAiusRp1+gn9lltg6uPjjr3HF+af76wpsJZw65XIe4q7X48FqNCRAgaVhKJFK4gosg8LiIe5mhcVD3I3LiwLLrMgosPTNKx6Btaa2BMMK/on9U9riw24jtZnkW5Xrcf2OTyCElnhL4TOdhqGbN0ub+gKFUGBpF4kjBVFgOYJZepCAwAoIqIWLlzbdO2L4YNxx46VIT09FQEKtXL226fplY0ZgwhWj/P+8YNHHWPrNqqb2wQWECqxwY/EMLOnI2LCVE6DAMugBoMAyKCwKLLPCosAyLi8KLLMio8DSN694BNa/d2/CJdvex7CM7niu83DbJrnobQ9W/+DGqSMa0H+A3FlRYiuh2FIothZmu1PxQIeh2m0ppMCy7ZHRumMKLL3iCV2BpVd1rIYESCCUAAWWQc8EBZZBYVFgmRUWBZZxeVFgmRUZBZa+ecUjsJ7a9QNu2/klLsnpj7vaH2XbJK8dm4oFr3rwwKO1OGuU/JtHa30NuG3nMjxXvsZf22U5/XGLRlsKKbBse2S07pgCS694KLD0yoPVkIAVAQosK0IaXafA0igMiVJ4BpYEJI2a8AwsjcKQKIUCSwKSRk0osDQKI6SUeATW7TuX4cldq3B7+0G4PGeAbZOMVWAFCvrX7o3+LYXljbUYmNYBczoNQydPhm31ynZMgSVLKrnaUWDplScFll55sBoSsCJAgWVFSKPrFFgahSFRCgWWBCSNmlBgaRSGRCkUWBKQNGpCgaVRGAoF1qXbPsC7uzfi6U4n4uTMnrZNMl6BJQrbVF+BsduX4NuaHbij/VH+1ViJ/lBgJTqBxIxPgZUY7pFGpcDSKw9WQwJWBCiwrAhpdJ0CS6MwJEqhwJKApFETCiyNwpAohQJLApJGTSiwNApDocAaXvBPrK4twb/z/4ABqe1tm6QKgSWKW1C5Dtdu/w9OyeyJpzqdaFu9sh1TYMmSSq52FFh65UmBpVcerIYErAhQYFkR0ug6BZZGYUiUQoElAUmjJhRYGoUhUQoFlgQkjZpQYGkUhkKB1WfD86jxNWBNzzH+g9Lt+qgSWNsaqnDYppfR1p2GVT3Ptatc6X4psKRRJVVDCiy94qTA0isPVkMCVgQosKwIaXSdAkujMCRKocCSgKRREwosjcKQKIUCSwKSRk0osDQKQ5HAKmmswUEb/4EcdypW9xxj6wRVCSxR5JDNr2JjfQU+6DYSB6S0tbVuq84psKwIJed1Ciy9cqXA0isPVkMCVgQosKwIaXSdAkujMCRKocCSgKRREwosjcKQKIUCSwKSRk0osDQKQ5HAWlGzA6dufRsHpbbHu/l/sHWCKgXW+B2fYH7Fz5iaNxgXZfeztW6rzimwrAgl53UKLL1ypcDSKw9WQwJWBCiwrAhpdJ0CS6MwJEqhwJKApFETCiyNwpAohQJLApJGTSiwNApDkcBaWLkeV2xfglMze+HJTr+1dYIqBdbLFT9hwo5P8YesffBox+NtrduqcwosK0LJeZ0CS69cKbD0yoPVkIAVAQosK0IaXafA0igMiVIosCQgadSEAkujMCRKocCSgKRREwosjcJQJLAeLfsed5V8hStzBuDW9oNsnaBKgbWhvhxHb35Ni3OwKLBsfWy07VyVwNqwwYWCzS707OVDt+4+beere2EUWLonxPpIoDkBCiyDnggKLIPCAkCBZVZeFFhm5UWBZVZeFFj65uUuKUGX/brBl56Oiutu8BfqdruQkepFZXWd/589Gzcgc94LqD16KHa8+a7/zyYXL8Vz5Wtwd95gXGzzVjyVAkvULg5yFwe6f9ztTPRJyUlYOBRYCUOf0IFVCaypd6Tg4Qe8mHxLHa4ZV5/QOZk8OAWWyemx9tZIgALLoNQpsAwKiwLLrLAAUGCZFRkFlll5UWDpm1esAuv8ovfwYdUWPN95OE7M6G7rBFULrP/b/h+8UbkO9+YdjTHZ+9tae0udU2AlDH1CB6bASij+vQanwNIrD1ZDAlYEKLCsCGl0nQJLozAkSuEKLAlIGjWhwNIoDIlSKLAkIGnUhAJLozBCSolVYB235XWsrSvDh91GYn/Fb/ObMT2lWZWL3nZjzQ9unDKiAf0H/LpVqlu3Row+ryFquC+U/4ibiz/HWW364oEOQ6O+X9UNFFiqSJrVDwWWXnlRYOmVB6shASsCFFhWhDS6ToGlURgSpVBgSUDSqAkFlkZhSJRCgSUBSaMmFFgahaFIYPVcPxcN8GFdrwuQ5vIom2BlJbB/rwyp/gYd1Yg3FtZItQ1u9FNdGU7Y8jo6eTKwvMefor5f1Q0UWKpImtUPBZZeeVFg6ZUHqyEBKwIUWFaENLpOgaVRGBKlUGBJQNKoCQWWRmFIlEKBJQFJoyYUWBqFoUBgifOjxDlSHT0Z+FaxAAoWWEOOaQwLrnwX8P13bsQqsESnAzb+A6WNNVja/Wz08LZJSEAUWAnBnvBBKbASHkGzAiiw9MqD1ZCAFQEKLCtCGl2nwNIoDIlSKLAkIGnUhAJLozAkSqHAkoCkURMKLI3CUCCwvqrZhjO2LsLhaR3xVtcRSidXUQEc0DsDKanAdeP3HCIf+tmyxYV5L3pxxJGN+Oei6Fdgif6u2PYhFu7egFkdjsWoNvsqnYNsZxRYsqSSqx0Fll55UmDplQerIQErAhRYVoQ0uk6BpVEYEqVQYElA0qgJBZZGYUiUQoElAUmjJhRYGoWhQGAtqFyHa7f/ByOz+uDhjscpnZxTAuuZXatxy84vMLrNfpjR4Rilc5DtjAJLllRytaPA0itPCiy98mA1JGBFgALLipBG1ymwNApDohQKLAlIGjWhwNIoDIlSKLAkIGnUhAJLozAUCKzZpSswvXQ5rss9BDe3O1zp5JwSWD/U7sTvCt5EL282Put+ltI5yHZGgSVLKrnaUWDplScFll55sBoSsCJAgWVFSKPrFFgahSFRCgWWBCSNmlBgaRSGRCkUWBKQNGpCgaVRGAoE1g07PsW8ip9wb97RGJO9v9LJOSWwGuFDv40vobKxzn+QuzjQ3ekPBZbTxPUYjwJLjxwCVVBg6ZUHqyEBKwIUWFaENLpOgaVRGBKlUGBJQNKoCQWWRmFIlEKBJQFJoyYUWBqFoUBgnVP4Lj6t3op5nU/C0Ix8pZNzSmCJoi/e9j7e273Jvw1SbId0+pNogdWtg5y06z+gEYs/iu2sMaeZmjAeBZZeKVFg6ZUHqyEBKwIUWFaENLpOgaVRGBKlUGBJQNKoCQWWRmFIlEKBJQFJoyYUWBqFoUBgDdn8KjbWV/i33okteCo/Tgqsx3etwh07l+GC7AMwLW+ISwaIiQAAIABJREFUymlI9UWBJYUp6RpRYOkVKQWWXnmwGhKwIkCBZUVIo+sUWBqFIVEKBZYEJI2aUGBpFIZEKRRYEpA0akKBpVEYCgRWz/Vz0QAfNva+CB64lE7OSYH1bc0OjNj6NvZLycWSbn9UOg+ZznQRWDdMDP+2x+3bXHhujhdcgSWTpnwbCix5Vk60pMBygjLHIAF1BCiw1LG0vScKLNsRKx2AAkspTts7o8CyHbHSASiwlOK0vTMKLNsRxzyAu6QEXfbrBl96Oiquu8Hfj9vtQkaqF5XVe8SGZ+MGZM57AbVHD8XyBa9h8OZX0c2bhS+7j4p53Eg3Oimwgs/BWtXzXLR1pymfT0sdJqvAyp04HlnPPIGyv9+PysuudJSpCYNRYOmVEgWWXnmwGhKwIkCBZUVIo+sUWBqFIVEKBZYEJI2aUGBpFIZEKRRYEpA0akKBpVEYIaVEK7DefGUuRhW+gyHpXfBql5OVT8xJgSWKP6/oPSyp2oInOv0WIzJ7KZ8PBRYFVugzQIHl6NfMcjAKLEtEbEACWhGgwNIqjpaLocAyKCwAFFhm5UWBZVZeFFhm5UWBpW9e0Qqsh156COIthOe02Rf3dzhW+cScFlgPlq3EtJJvcGlOf9zZ/ijl82kNAitv5ClwNTY2TdWz7md4Creivs++aOzStenP63v1RumDjzvKWMfBKLD0SoUCS688WA0JWBGgwLIipNF1CiyNwpAohQJLApJGTSiwNApDohQKLAlIGjWhwNIojJBSohVYNz83DbNKV+CGtodiQttDlU/MaYG1rGYbRm5dhP6p7bA4/wzl82kNAiu/Q6YUt/p+/bHtk6+l2iZzIwosvdKlwNIrD1ZDAlYEKLCsCGl0nQJLozAkSqHAkoCkURMKLI3CkCiFAksCkkZNKLA0CiNOgTXmmb/itYq1mN1hKM5u01f5xJwWWPVoxP4bXkSNrwH/7XUeslwpyucUqcNkOQOLAiu6R4YCKzpedremwLKbMPsnAbUEKLDU8rS1NwosW/Eq75wCSzlSWzukwLIVr/LOKbCUI7W1QwosW/HG1Xm0K7COfXwcxKqlBV1OwVHpneMaO9zNTgssUYM40+uz6kI822kYTsrsoXxOgQ5nTG8ux/79Lze+/86Nk05uwEGH+JrG7dzFh/MvrJeuw+N2oUNuGopKqqXvEQ27dcjwt4/3LYQBgbV79Plhx3eXlSL9X2+DK7D24KHAiuoxtb0xBZbtiDkACSglQIGlFKe9nVFg2ctXde8UWKqJ2tsfBZa9fFX3ToGlmqi9/VFg2cs3nt6jFVg9H74MRQ278VX3UejqzYpn6LD3JkJgzSz9FjNKv8WVOQNwa/tByucU6DAgjKwGOGRgI/71fo1Vs6brCRdYHbMAnw/lN00BXK696nbv2O5/KyEFFgWW9EPtYEMKLAdhcygSUECAAksBRKe6oMByirSacSiw1HB0qhcKLKdIqxmHAksNR6d6ocByinT040QjsKqOPQ6Zs0bDAxc29r4o+sEk7kiEwBKrr8QqrIFpHbCo62kSVcbWJCCwhhzz64HnwT1VVgArV7hBgRUbX1Pu4gosvZKiwNIrD1ZDAlYEKLCsCGl0nQJLozAkSqHAkoCkURMKLI3CkCiFAksCkkZNKLA0CiOklGgE1qqRp+Kgv56GfVJy8Em3M22ZVCIEljj/av+NL6LR58OaXmNsOQerrhbonZ8Btxu4/sa6sOyKCl144TkvBZYtT5Y+nVJg6ZOFqIQCS688WA0JWBGgwLIipNF1CiyNwpAohQJLApJGTSiwNApDohQKLAlIGjWhwNIojDgE1sLLzsFpV52A4zPy8VLnk2yZlJ0C68FZXnz0gQfXXl+H43/bfBWUeBOhONvrhc6/w28zuimfGwUWtxAGHioKLOVfr7g6pMCKCx9vJgHHCVBgOY489gEpsGJnl4g7KbASQT32MSmwYmeXiDspsBJBPfYxKbBiZ2f3ndGswHpo4iW49pxBOD97f/w972hbSrNTYI27OhWvvuLB7IdrcfafGprVP63kGzxYthLX5B6Mye1+o3xuFFgUWBRYyr9WSjqkwFKCkZ2QgGMEKLAcQx3/QBRY8TN0sgcKLCdpxz8WBVb8DJ3sgQLLSdrxj0WBFT9Du3qIRmDdOO1azBje3y94hOix45MogbWkagvOK3oPR6R1wj+7nqp8ahRYFFgUWMq/Vko6pMBSgpGdkIBjBCiwHEMd/0AUWPEzdLIHCiwnacc/FgVW/Ayd7IECy0na8Y9FgRU/Q7t6iEZgnf3kJLx2WE882vF4/CFrH1tKSpTAqvTVod+Gl+B2ufDfnuchzeVROj8KLAosCiylXyllnVFgKUPJjkjAEQIUWI5gVjMIBZYajk71QoHlFGk141BgqeHoVC8UWE6RVjMOBZYajnb0Eo3AOmLBXfi6Z3ss7HoaDk3rYEc5SJTAEpMZsfVtfFuzA690+T2OSe+qdH4UWBRYFFhKv1LKOqPAUoaSHZGAIwQosBzBrGYQCiw1HJ3qhQLLKdJqxqHAUsPRqV4osJwirWYcCiw1HO3oJRqB1fGj+7EjKw0re4xGnifdjnISKrDu2LkMj+9ahevbDsSNbQ9TOj8KLAosCiylXyllnVFgKUPJjkjAEQIUWI5gVjMIBZYajk71QoHlFGk141BgqeHoVC8UWE6RVjMOBZYajnb0Iiuw3AteRsZns/1b69b1usCOUvx9JnIF1nu7N+Hibe9jSHoXvNrlZKVzFALr9ikvw+UCuvfwhe27thYoKnTBhzxMvW+49PgetwsdctNQVFItfY9o2K1Dhr/9DRPrwt63fZsLz83xov+ARiz+qCZi3/kdswCfD+U3TYF/giEf947tyHqGAiuAhW8hjOoxtb0xBZbtiDkACSglQIGlFKe9nVFg2ctXde8UWKqJ2tsfBZa9fFX3ToGlmqi9/VFg2cs3nt7rigoxZ/5zll0UZXvx6PHt0S+1Hd7PP8OyfawNEimwAudgpbjc+G+v8+CFO9Zp7HWfEFhznpgu1V9paVfc9Fd5SUiBJYU1YY3a3D8drrpfJWHakveR+uVS1JwwDLVHDm6qqzEnF5Vjr5Guc+odKXj4AS8m31KHa8bVS9/Hhs0JUGDxiSABswhQYBmUFwWWQWEBoMAyKy8KLLPyosAyKy8KLH3zkhVYP3ZOwz8G5WJ4Zg/M7TTMtgklUmCJSf2u4E38ULsTC7qcgqPSOyubZ7DAqq8/JGy/NbVVyMr8CRRYyrBr0VHXnh3h2l1pWUtDj54oWr7Gsl2gAQWWNKoWG1JgqeHIXkjAKQIUWE6RVjAOBZYCiA52QYHlIGwFQ1FgKYDoYBcUWA7CVjAUBZYCiDZ1ERBY3vp6DPLtWXEkdoGleNyorW/0/3P57ko8dWhnvDOgDS7N6Y872x9lUzWJ3UIoJnXLzi/wzK7VuLnd4bguN7xoimXyNdUNeO6pGfD5XKirPzZsF9VVFcjJWU6BFQtgje+hwNI4HAAUWHrnw+pIIJQABZZBzwQFlkFhcQWWWWEBoMAyKzIKLLPyosDSNy9ZgXXf0V2xdJ9M3N5+EC7PGSA1oXaXX4SM1+ej5Ik5qDrzHKl7Er0Ca+HuDbhi24c4LiMf/+h8klTNMo0osFrvGVgBgVU7+GjA4/E/LqkpHtTWNex5dGpqkPrVl+AKLJlvkvo2FFjqmbJHErCTAAWWnXQV902BpRiozd1xBZbNgBV3T4GlGKjN3VFg2QxYcfcUWIqBKuxOVmD9dVh3rOmShqc7nYiTM3tKVWCiwCptrMGAjf/wH1av8hwsCiwKrIrxN8GXmgq4xKqfFFTs3nMulntXGbIeewgN3Xug6Nsfpb5bohG3EEqjarEhBZYajuyFBJwiQIHlFGkF41BgKYDoYBcUWA7CVjAUBZYCiA52QYHlIGwFQ1FgKYBoUxeyAuv/Tu+Fohwv3sv/Aw5MbS9VjYkCS0zshC2v46e6MrzddQQOS+soNVerRhRYFFgUWFbfksRcp8BKDHeOSgKxEqDAipVcAu6jwEoA9DiGpMCKA14CbqXASgD0OIakwIoDXgJupcBKAHTJIWUF1uhz+6De7cK6Xhf4VyfJfEwVWJOKP8fz5T/iL+2OwNW5B8lM1bINBRYFFgWW5dckIQ0osBKCnYOSQMwEKLBiRuf8jRRYzjOPZ0QKrHjoOX8vBZbzzOMZkQIrHnrO30uB5Txz2RFlBFZBQzUuObs3smoa8N8DLpPtGqYKrDcq1+H/tv8HwzK647nOw6Xn21JDCiwKLAosJV8l5Z1QYClHyg5JwFYCFFi24lXbOQWWWp5290aBZTdhtf1TYKnlaXdvFFh2E1bbPwWWWp4qe5MRWN9m1OPmk7uj185qfHb4WOnhTRVY2xqqcNiml5HlTsGanmPgFocWxfmhwKLAosCK80tk0+0UWDaBZbckYBMBCiybwNrRLQWWHVTt65MCyz62dvRMgWUHVfv6pMCyj60dPVNg2UFVTZ8yAuvfHVyYMbQzfrOxHG8ed630wKYKLDHBoze/hg315Xgn/3QcnJonPedIDSmwKLAosOL+GtnSAQWWLVjZKQnYRoACyza06jumwFLP1M4eKbDspKu+bwos9Uzt7JECy0666vumwFLPVFWPMgLrhd4peP6wPJz8w048feoE6aFNFlgTdnyKlyt+wu3tj8TlOQdKz5kCa+/Vau4d25H1DAUWBVbcXyNbOqDAsgUrOyUB2whQYNmGVn3HFFjqmdrZIwWWnXTV902BpZ6pnT1SYNlJV33fFFjqmarqUUZgzTwoE+/ul4PzvyzC38+5WXpokwXW/IqfMX7HJzg5syee7nSi9JwpsCiwQp+Brj07wrW7EhRYcX+NbOmAAssWrOyUBGwjQIFlG1r1HVNgqWdqZ48UWHbSVd83BZZ6pnb2mKwCq8Npw5G69DPsePs91A4+xk6EjvadSIHl3rULWY89KDXf+r77ouqsP0m1TZZGMgJr0lE5WJ6fies/2IwbL/2r9NRNFlgb6yswZPOraOtOw6qe50rPmQKLAosCK+6vi6MdUGA5ipuDkUDcBCiw4kboXAcUWM6xVjESBZYKis71QYHlHGsVI1FgqaDoXB+JFFiezZvQ+dADpCZb/buTsfMfC6TaJksjGYF1ybA8FOSk4O43/4eLr/ub9NRNFlhikuIgd3Gg+/v5Z6BfajvpeYdryDOwuIWQK7Di+grZdjMFlm1o2TEJ2EKAAssWrPZ0SoFlD1e7eqXAsousPf1SYNnD1a5eKbDsImtPvxRY9nBV0auMwDplZBc0uoDHX/ovTpsyVXpY0wXWtdv/gwWV63B33mBcnN1Pet4UWM0J8AwsbiGM68tj880UWDYDZvckoJgABZZioHZ2R4FlJ131fVNgqWdqZ48UWHbSVd83BZZ6pnb2qIPA8qWloe6II8NO01WyEyk/rAJXYLn9fFwuIMXjRm19I3amu3HuKZ3QpqYRD7zyE35/yz3Sj4rpAuvF8v9iYvFnOD2rNx7reIL0vCmwKLCCCfAMrLi+OrbfTIFlO2IOQAJKCVBgKcVpb2cUWPbyVd07BZZqovb2R4FlL1/VvVNgqSZqb38JFVibNqLzYf3QmJODyrHXhp2od+3PyHjtZVQP/z12znvdXhia9W61AuuH9im4/vg89Cipw9/eXteqBNbaujIct+V1JedgcQshtxByC6Fmf/n9Ug4Flp65sCoSiESAAsugZ4MCy6CwAFBgmZUXBZZZeVFgmZUXBZa+eVkJrA96ZODvR+Ti4C3VuP6DDa1KYInUBmz8B0oba/BxtzPRJyUn5iApsCiwKLBi/vrYeiMFlq142TkJKCdgi8BatmINLh43zV/sIf374pFp49EuNzti8S21r66uxa33PYOFi5f6779z4mU489ShTX2VlJXj6kmzsHL1Wv+fzZk9CYMG7jmnYN2GAlw5cQYKioqb2gfXU1BcpRyonR1SYNlJV33fFFjqmdrZIwWWnXTV902BpZ6pnT1SYNlJN76+rQTWSwe0wdwD2+C4nypx8dLNrU5gXbl9Cd6uXI/peUfjvOz9Y4ZNgUWBVTv4aMDj8T9DqSke1NY17HmeamqQ+tWXaOjRE0XL10g/Y1PvSMHDD3gx+ZY6XDOuXvo+NmxOgAKLTwQJmEVAucAS0mjKtKcwddKf0adXPhYs+hhLv1mFO268FOnpqXvRsWo/84n5/nsmXDEKAVk1Yewov6QKyK3Bhw/wS63QvkL/OXRwCiyzHlbTqqXAMisxCiyz8qLAMisvCix987ISWDMPz8W7vTLwh5XlGLmioNUJrGd3rcZfd36BM7P64MGOx8UcJAUWBZbVw0OBZUXInusUWPZwZa8kYBcB5QJLCKv1mwv9wkl8rCRSS+3btc3GlHuexE1XjfbLMPEJFlqi73sfnYepky/3r/CyEloUWHY9Ruw3HAEKLLOeCwoss/KiwDIrLwosffOyElgTj22PFR1TcdHSUhz/U1GrE1hrakswrOCf6OTJwPIef4o5SAqs1iuw2tw/Ha66uqZnJ23J+0j9cilqThiG2iMHN/15Y04uKsdeI/2McQWWNKoWG1JgqeHIXkjAKQLKBVawYBKTCF01FTqxltrntc1ptppL3Bu8ouu7H9dh5mPzm21RDBVcwVsIQ7czcgWWU49Z6xyHAsus3CmwzMqLAsusvCiw9M3LSmBd9PuOKMz0YNwHxRi4ZUerE1giucA5WJ93Pxs9vW1iCpMCq/UKrNAHJvf2Kch6aBZ23X43Kq65PqbnSdxEgRUzumY3UmCp4cheSMApArYIrN7duzSdUyUjsCK1FwIreIVVOIE1/60lzbYnhgqxYJDiWuG24qb29Q0+pzgrGce95+3WaGxU0h07sZmA2yXeRc68bMasrHvx2ni3y4WGRrP+XlAGwLCOkjUvz/HHwfXpJ2hY8hF8x/563qNh8exVbkLz2rAB3r77ALm5aBwX/pdF10//hesfL8F3yqloeOtt03FHVX/V1gLMfPopeOvrcYzHu+de8e8v8fMGgN+N6IRGF3Drwm3Yp6QU5983U7p/z3lj4Hp5HhpeeBG+0edK3VdeDrRv50JqKjBpUvi/jzdtAp591oUhQ4D/fCz/d/YlF7vwwgvAM8/6cMEFUuX4G531v3fwZtl6PN3zt7iw/QHyNwa1rKpqwMwZd8PnE3DDb0XcvbscWVnfoLS0K+6973LpcUSPHo8L0f5cm+LdE/Stt4ZnWFQEPP64CwcfDHyzPDJnb4oH8PnQeMttgPiyh362bYP7sUfgO3AAGlZ+Jz2vZG3ovnki3DPuQ+O0v6PxxptinuaUKS7cOx24+24fJt4cczet/kbxc19ayi+/ZLV6GgRAAvoTsEVgiWkHthDKCKxI7eNdgRWKP3TL4bbSav0TCqowM83r/wW7ovrXZchGTaCVFZuR5oXX7UJ5FfMyIfr0VA/EKpFdu5mXCXmleT1IT3ejrCK58mp3yjCkLP0MJYsWo27IMSZEIVVjiseNNplelJTXSrVX2cizaSPyDjkAvpxc7L762rBde9b+jPT581D7u5NR+srrKofXvq/awkI8/fJcv8A6Ent+iRMOwut2Y3OaCxec1BEdK+vxfx/uRM+SEoy4fc9LemQ+OZddiPQF87HrqbmoPuscmVtQUQH07ZHuF1jjJoQ/mHrLZhdeesGDQUc24u135Z+pa8amYP7LHjz4aB3OGf3LAdoSVT1Wugq3FX+Jc7P3w6xOx0rcsXcTsQLrmcfv8wus+obwcrqqqhw52cv9AmvybRdKj+N2u9CuTSqKd9VI3yMadm6X7m9/06TwnLdtc2HuMx4cOMCHDz+J3Hen9pl+gVV581/CCiz39u3IePpx1Pc7EDs//zqqGpOxcZtbJyPzwVmo+NtU7L4u9hVYd/3NiwdnefGX2+px3Xge4h7rsyJ+vxKrsPghARIwg4BygaXTGVihEYQKLG4hNOMhNbVKbiE0KzluITQrL24hNCsvbiHUN6+WthAua+eFOANrQFEVRi0r9wus399yj/Rk2l1+ETJen4+SJ+ag6kx5gXVA7wykpALXjQ8vqLdscWHei14ccWQj/rlIXtqMuzoVr77iweyHa3H2n+QF1sraYpxS8BZ6ebPxWfezpOcf3JBbCLmFMPA8cAthTF8h227iFkLb0LJjErCFgHKBZfVWQSG4xLa/R6aN9x+8btU+nrcQvrtkGfbbp1vYA+AFTQosW54pdvoLAQossx4FCiyz8qLAMisvCix982pJYL3VLQ3iLYS/XVuO41dXtVqB1Qgf+m18CZWNdf6D3MWB7tF+KLAosJJdYE2/JwWzZ3hx06Q6jL/RnBVhFFjR/m3G9iSQWALKBZaYzrIVa3DxuD1LzEMPTg8VWFbtA28WXLh4qb+/Oyde1nS+lvjnwBbFlavX+q/PmT0Jgwb28///4DrEP48YPrjZeVkUWIl9+JJ9dAossxKmwDIrLwoss/KiwNI3r5YE1pP7Z+KlA9pg9Mqd6LexvtUKLJHeBUXv4YOqLXio43H4Y1afqAOlwKLAosCK+mvjyA0UWI5g5iAkoIyALQJLWXU2d0SBZTPgVt49BZZZDwAFlll5UWCZlRcFlr55tSSw7jo0G+/3yMB1n21D+51o1QLrobLvcE/J17gg+wBMyxsSdaAUWBRYFFhRf20cuYECyxHMHIQElBGgwFKG0v6OxF+w4hB3HjJtP2sVI1BgqaDoXB8UWM6xVjESBZYKis71QYHlHOtoR2pJYF1zdFusykvFXf/egvralFYtsL6u2Y4/bF2IfVNy8VG3P0aLGRRYFFgUWFF/bRy5IVRgid09U+55EjddNbrpGJrgQkLPVBbXxJ9dOXEGCoqKm9UcuvsncDF0h5H48+BdRI5MnIOQgKEEKLAMCo4Cy6CwAFBgmZUXBZZZeVFgmZUXBZa+ebUksM7+XQcUp7vxxOsbUJCS0aoFVj0asf+GF1Hja8CqnueirTstqlApsCiwkk1gHbR/Okp2uiy/Bx07+vDtan3f/B4QWMFSKb9zHh6ffkMzgRV8bE3oETnhIIhznHt379Ls6JtAO9HXsy+/g6svPAPp6an+Y2+mTH1yrzEt4bIBCbRCAhRYBoVOgWVQWBRYZoUFgALLrMgosMzKiwJL37wiCSyP141hp3WC2we88tJafJ+b3aoFlkjwT4Xv4pPqrXii4wkYkdU7qlApsCiwdBVYLz3vxYL5Hoy5sB5nni3/ds5kE1jBcinaFVihfxmEW6XV0l8YATk2YeyoprOco/oLho1JoBURaNUCq6hE3/8aEO4ZFCt6XC6gosqcN3u0ou/SXlPNTPPC4wHKdzMvE56D9FQP0lLcKKsM/9p2E+bQmmpMS/EgI92N0vLkyqv9qcOQsvQzlCxcjNohxyRNpCleN7IzvNhZXuv4nDybNqLDwAPgy8lF5VXXhh3fu/ZnpL86DzW/OxmlL7/ueI2JHLCusBBPvzIX3vp6HAm3vxTxs8bWnBRc+Ns8dK+ox6w3N+D7nD0C69Tb9rykR+aT++cLkb5gPsqenIvqs86RuQUlJbV4+fn7Jdt2x+TbzpNqKxpde1UK5r/swQOP1OGc0fK/qAcGmFHyLe4tWY5Lc/pjaofB0uOKhkJgPfvEffD5XKhrGBr23uqqcuRkL0dpaVdMuvVC6f49bhfaZadiR1mN9D2iYZf26f72N94c/ueU7dtcmPusBwcO8OGDjyP33TkvE/D5UDHxL3senpCPe/t2ZD7zOOr7HYjiz76OqsZkbJx922RkPjgLFX+bisprr495inf9zYuHZnvxl1vrce342H/WnHqnFw/c78Xkv9Zj3AT5fvrvm+ZfgfV/19UjI8yLOSsrgUcf8kKswPrux+iezZihxHCj+P1KLBIIfGLZQhg6bEurr8KVKITXlGlPYeqkP4fdthjDtHgLCSQtgVYtsBoafUYFK34mcMGFRp9ZdRsFWWGxzEshTAe6Yl4OQFY4hPgVyeVKvr8P3ccfB9cnn6BxyUfwDQ3/S65CjI515c/L7UJjIv69u2EDPH32AXJz0Tg+/C+Lrp/+C9dLL8F3yqlofPttx7joMFBVQQFmPP2UX2Ad4/31l7ivOqbipqPaYtD2Wkx5fzNWtGmDXqWluGDGTOmy3WPGwPXyPDS++CJ8o8+Vuq+4uBaPPiInyUpLe+C+GZdI9SsaXXyRCy+8ADw7x4cLLpC+ranhfyoKcOJPb+LgjDws7zcqqg6qqhow4767/QILruPC3rt7dzmyMr9BaVlX3Hff5VH1LyRWtD/Xej17ZNOtt4X/ubKoCHj8MRcOPgRYvjzyz54er8cvsBpvvS2swMK2bXA/+gh8AwagceV3Uc0rGRu7J06Ea8Z9aPz73+G78aaYpzhlsgvTpwN3T/Xh5ptj7gZ//YsL06YBd97lw+TJ8v107uRCcTFw400+ZGbufV9FBTBzhgudOwNbCvT93aW+wef/D5iBT7wCK9rVV4Gti4MPHxB2u6F8ImxJAq2DQKsWWHwLYet4yBM1S56BlSjysY3LLYSxcUvUXdxCmCjysY2ragvhglc9+N86N848ux779JH7hUiswOp8WD805uSgcmzkFVgZr72M6uG/x855rWwFVlEh5sx/zi+wBvl+XYH1rz5ZuP+QbIz4325c8tlWx7YQihVYr744Cw0NHjQ0Hh32gauqKkduzrcoKemOibeMkX4ox12dildf8WD2w7U4+0/Rr8AS51/tv/FF1Psa8d9e5yHLlSI9NrcQcgth4GHJvX0Ksh6ahV23342Ka2JfgTX1jhQ8/IAXk2+pwzXj5FdOhT600+5KwYOzvLj5L3W47nr5fgJbCK++ti7iCqzHHk7xr8Ay4QwsFQIrWhkVaN+lUx4mXBGdFJf+y4cNSSDJCFBgGRQoz8AyKCyegWVWWDwDy7i8KLDMikyVwLpgdCo+WOzB8/NqceJwOQFBgdXysxLpDKwfh0YkAAAgAElEQVRnDsrBvH0zcdn35ThlxTYKrF8wnln4L3xRXYRnOw3DSZk9pL+IFFjmC6y0DxcjddkXqPntcNQOOko6+9CGFFgxo7PlRhVvIQwUJg5jn/nYfDwybTza5Wa3WC/llS1xstNWQIACy6CQKbAMCosCy6ywKLCMy4sCy6zIKLD0zSuSwJp6ZDssyU/DX74sxWE/FVNg/RLh30u+wQNlK3FFzgDc1n6QdLAUWOYLrJxbJ6HNIw9g1x33oOLqcdLZU2C1jhVYLa2+ChzSPur0E/zbBKNdqRXzw8YbSSAJCVBgGRQqBZZBYVFgmRUWBZZxeVFgmRUZBZa+eUUSWNee0AE/tvXiwSXF6LqllALrlwj/U1WAc4v+jUNS8/Cv/NOlg6XAosAKPCxcgSX9tXGkYWAFVkAqLVy8tGncEcMH444bL0V6eioCEmrl6rVN1y8bM6Jp69+CRR9j6TermtoHFx8qsMQ5WVdOnIGCouJmcwzuz5HJcxASMJAABZZBoVFgGRQWBZZZYVFgGZcXBZZZkVFg6ZtXJIE16tROKEt145WF2+AuLafA+iXCal8D+m543v9P0ZyDRYFFgaVaYE26vxrPv1OF/zsrA1Ou2PNGyVg+PAPLi5xM+fPsYmHMe0iABNQRoMBSx9L2niiwbEesdAAe4q4Up+2d8RB32xErHYACSylO2zujwLIdccwDhBNY1SkunHFaZ2TU+/DGW0Uo311JgRVE+LStC7GmtgQLup7iX4kl86HAosBSLbCO/fhD/K/HBgzccAAWHT9E5jEM24YCiwIr5oeHN5JAAghQYCUAeqxDUmDFSi4x91FgJYZ7rKNSYMVKLjH3UWAlhnuso1JgxUrO/vvCCawNuV5ccWIH7FNWj8c+2EGBFRJD4Bysq3IPwl/bHSEVkp0CK/V/P6N9+Q5s79wbDZ27SNUjGnXrkOFve8PEurD3bN/mwnNzvOg/oBGLP6qJ2G9+xyzA50P5TVMAl2uvdu4d25H1DAWWaoG1z08voTalFnkVbbHyoJHSuYc2pMCiwIr54eGNJJAAAhRYCYAe65AUWLGSS8x9FFiJ4R7rqBRYsZJLzH0UWInhHuuoFFixkrP/vnACa2nXNNw2uB2GbK3B7UtLKLBCYvi8uhBnF76D/qntsDj/DKmQ7BRY7SZcg4znnkHpzIew+8JLpeqhwJLG1NRQp0Pcl9dsh1gJGPh83/NctHOnRT8pABRYFFgxPTi8iQQSRIACK0HgYxmWAisWaom7hwIrcexjGZkCKxZqibuHAitx7GMZmQIrFmrO3BNOYL2xbyYePTgHI9fuxlUrd1FghURRj0b03/ASdvvqsaLHaHTwWJ8/RIHFFViBx0jFIe7iTZhiJWDgM6fTMPwus0dMf2lQYFFgxfTg8CYSSBABCqwEgY9lWAqsWKgl7h4KrMSxj2VkCqxYqCXuHgqsxLGPZWQKrFioOXNPOIH1+CHZWNA3C2NX7sIf1+6mwAqJ4vprU/HKke8CQzfggQ5DcVabvpZhUWBRYMUrsAq3boavsdHfzVX1y7HMV4KUzW1Q170CF7t74RrPnufQ4/GiU5d8y2cy0IACiwJL+mFhQxLQgAAFlgYhyJZAgSVLSo92FFh65CBbBQWWLCk92lFg6ZGDbBUUWLKknG8XTmDdcFx7fJ+Xirs+K8GgohoKrHACC6uAGz7F2W36YnaHoZbBUWBRYMUrsOY+MRu1tTWod7tw16kd/d2duXwXFhyWg54763DpZyX+P2uTnYNzLxpr+UxSYO0hIH6/4lsIpR8XNiSBhBOgwEp4BPIFUGDJs9KhJQWWDinI10CBJc9Kh5YUWP/P3nlAR1F1cfw/szWbZNMTQhpFkCa996J0AVFQmmJBhQ8FVIoCfn4KoqiIFZXeQZAmoNI7hN57S4OQujXbd78zsyxps5vZTbJZ4ptzOCHZO2/e/O+d2dnf3nufL3iB/xwIwOKvlbctiwIsrYjC832jQNnArkAosdgIwOICWMdUwLo1bPkgU0ZY0kYAFgFYZQWw7scH49eGYkQrbXjubxN+flEM2gbMOqCDTq0mAKuki7HI6wRguSkYMScKVLACBGBVsAPcOTwBWO6oVfG2BGBVvA/cmQEBWO6oVfG2BGBVvA/cmQEBWO6o5V3bogDrQIwUM1sGo1G2CbMPZLOTUedpcTEoEPG5uegxfRbvCYaMegV+G9ch97cl0A0czGu/3Fwj1q+cC4tFAIu1Lec+Op0aQfKzyM2NxaTpQ3mNyxiNGyPG+t8F+O4nI1540cJ7v6KGbAnhagECji6BRqTD7qr9UUcc4nI8ArAIwCo9wJoLo9GIi51rY32AAi2vhUI2vwoufnITWQFGfJ4RBePxC/APCMTQkaN5xzcpISQZWLyDhRgSBXxAAQKwfMAJfKdAABZfpXzDjgAs3/AD31kQgMVXKd+wIwDLN/zAdxYEYPFVyvt2RQHWN02DsCPBD29e0eD5qxoCsDhc4gBYLbfvxvHI6/g4tAXektcnAGviRwBFFdOBzsqE/yICsMoKYK3qEYfrIgMGHYxD5uZAKN9Nw5l4JV5WBqPGwesEYLl5GyUZWG4KRsyJAhWsAAFYFewAdw5PAJY7alW8LQFYFe8Dd2ZAAJY7alW8LQFYFe8Dd2ZAAJY7annXtijAGtw7EkoJjQX7cxCXYyQAywXAGr7qClbU3ofOfjFYGfUMAVgEYPG6eD1dhXDpb3OhsZgwq1cEaFAY/0dtnDoqgHx4DrY0TkdLnR96704iAIuXF/KNCMByUzBiThSoYAUIwKpgB7hzeAKw3FGr4m0JwKp4H7gzAwKw3FGr4m0JwKp4H7gzA08AlsEAnD5JFzrMzE9FOHOKxkcfm9C0mX01LmYLCQXq1M3/veBOgpRkRDWpA6tcDu3b73BOW3jrJvz+WAv90z2Qs2ajO6f22NsWBFhhcjFGdw1HkMGKTTuyYDTbNSUlhIXd7MjAmvmzBlNbLoeYEuBa/FD2p7ONlBCSDCxHbJQGYF0IobC6RRAamPzQe1MCjifSqN9bh5+63kGglcb729MJwHLzrkwAlpuCEXOiQAUrQABWBTvAncMTgOWOWhVvSwBWxfvAnRkQgOWOWhVv62sAS7ZiCQT30pA37BVYYmI9Fii879MQHzuCrK07YWzdzuNxfG1HTwBWchKFNs2kvE6le08LFq+wZwsV3QjAci1hQYB1u1YgFtUPRI8kHaacVxOA5UQ6B8Ca870RizpvxEVjDtZW6YH20mgCsEgJYYn3rNIArM21JEis7oeh2jDEbo9gAVaHThbM7XMTatqCd/dmI46SkR5YJXoh34AALDfEIqZEAR9QgAAsH3AC3ykQgMVXKd+wq6wA6+03xMjKoPDLIiPCw22+IXYZzIIArDIQ0YtD+BrACu/VBeITicjavgfGlq09VoIArHzpHABLKASqRHPfa/Q6ICuLAgFYHoccCgKs39uH43y4GNNOKNAt3UgAFg+AdavXcfykvIAxQQ0wNaQ5AVgEYJV4MZYGYM1tE4CMQCG+zI1F9q6ARwBrR/dUJEq0GHBWhXYKEQFYJXqBACw3JCKmRAGfUoAALJ9yh+vJEID1GDkLQGUFWC0aSXEvjcLxs3rExBKA9XhFZeWZLQFYj5cvA/9YC1nqHWT3HwxztRq8Jp+URKFtMymCgmx44y0z5z63btLYtEGAp7tbsHQVycDiJWwRIwfAstks+KxvNGwUsGHbAwRbKQKweACs2IGpGJz+DxqIQ/FP1X4EYBGAVeJl6CnA+mnJd/i8cxCkNgprMmviyH7hI4CV2iUbiwOy0CxZh5dugwCsEr1AAJYbEhFTooBPKUAAlk+5gwCsx8gdJU6VAKwSJfIpA5KB5VPuKHEyBGCVKJFPGUQM7gfRnl3I/n0LDF2f5jU3ArB4yVRqIwfAuh4hxKpWoWiQbcScgzkQCWgCsHgArOeGGPFk8ioYbRZciR8KOS3m3Iv0wCI9sByB4SnAem/Lz1jbUIamBhn+p4zBwf2CRwArsH0eJoWkIEJtxqRTJgKwAMjWroRs5TLkvTQMeUNfdnqvJCWEpX4bIQMQBbyqAAFYXpW7dAcjGVil08/bexOA5W3FS3c8ArBKp5+39/YEYNEZD+C/ZAGvqZrqPwV9H+fZFEUHISWErmUlAItX2FWIkQNgbW0QgJPVZBh5WYOh1zUEYLnwRsEeWC8OtWD4g53Yq0vDTxEdMcCfO8OQACwCsEoLsPof/g0nY8R4VRWGgfrQQgCrWSsLno+8CQuAGQd1eHXEaN73ky9miPDDXCEmTzXh3Qnc2a5cgzWoLUVuDoUx75jg51fcQqsFfvlJhIgIG85e0fOeT1kZBn71OQK/nAH1Bx9CPWU6AVhlJSwZhyhQwQoQgFXBDnDn8ARguaNWxdsSgFXxPnBnBgRguaNWxdv+vkqErEwBnn/RgKgq/EpZRRfPI6Izv/5UusFDkfszP9jFqEEAFgFYFX9VeDYDB8D65ukwqKUC/LQ3G7WUJgKw3ABY81WX8EnOCQwOeALfhrfn3JMArIoDWDqbGft191BV6I+G4jDPLhQA8o+nIODn76H6dBY0Y8Z5PI6nGVj1ryyCwo/Gt1mxeMLqVwhgtWxlxaSgZFyRGPDaBSM+e/ZN3vMjAEsIuUzEWy9iSBQgClSsAgRgVaz+bh2dACy35KpwY18DWKdO0DAagTbtuJea5ysY6YHFVyliV54K9HlGirNnKGzbaUDjJvxi2tcAllqlxP7d2wvJJLpwHpRKCdNTjWCTyx+9VjU2AU1btC1PSct1bJKBVa7ylmpwBmDN/nsVfu4UihC9FWv+ygDTxoiUEDqXtWgG1jWTAl3TNiFKIMPpuMEEYBVRgM7KhP+iigNY448txLoqAsgtFFbF9kYTSYRH14ynAGvxr9/CbDKVeMyAQDmGvPI2p12yWYM2qeshM1qxKvsJCASCYgBrkd8DbAxUoVuSGcs6vVHi8RwGBGARgMU7WIghUcAHFCAAywecwHcKBGDxVco37HwNYDV7Sor0+xROntcjuiq/jBUuJQnA8o34+rfPojQAy+YfAFPjJpwS0hkZEN64Bm9kYOVmZ2H96kW8XFmjVh1068G/pJHXoF40IgDLi2K7eSgGYL15ej121A3A08k6TDylJACrBA2LAizGvFHKGmRZ9NgbMwC1RcHFRiAZWBUHsJpeXoAHMiHrE39ahN+jeqCxJNzNK8XzDKyyAFgr1dcxKfsI6t034HPU5QRYhwUKfBGWiRoKKw42fo33+RGARQAW72AhhkQBH1CAACwfcALfKRCAxVcp37AjAMs3/MB3FqSEkK9SvmHnEcC6cA4RXdrAGhkF7Ujub6dFly5Aum0LdIOGIHfeQt4n60kJoQNgiSUSVKteiz2WdPcO0JkZ0HfrDmtEJJgsrfv3UkAAlm+uQui3cR2EN65DN3AQzE/U5h0vvmTIAKyuKVtwO1yMj04o0ClVTwCWBwBrfNYhrNPcxKehrfC6vC4BWAUUqMgMrDsmFdqnbUBUjgpNzTL8FSmEjBJiRdQzaCWNcutSLG0GVpNmrUELBJDs2w3x8WMwdO4GY8vWMBoMuHDuJFxlYP0n8wA2aW+j7wU13ghvxAmwcsw6vFI1FSIrcLfGSN7nRgAWAVi8g4UYEgV8QAECsLzghKpV5IDZjPv3lbCJPK+xJgDLC84qw0MQgFWGYnphKAKwvCByGR6iMgEsPz8Z6j1lzwiTrVoGQWoKu2KSJTYOOdlZuHPrGgFYb/kmwAodPgjSv7chZ/nv0PfqW4YR7r2hVA/SUD9vJ2wU8MfWB/A32QjA8gBg/aG5hXezDqKrXyyWRxVfaZNkYFVMBtYK9XVMzj6CwTtP4WfrkxjxXD38lZcMKSVgIVYbaRXeF1tFAqx6yaugtBrxzt5sdKvTghNgGY0GvBV8B1kBAmyL7ss7y4wALAKweF8ExJAo4AMKEIDlBScQgOUFkX3wEARg+aBTXEyprADW4gVC5ORQePV1M0LDPC/VfLzU8/5sCcDyvualOWJlLSGsDABr+73zGGU8jbgcIxbsz2HdXFl6YG3duLpQ2N68QSMzA3iilg0Rkfn355DQCLTrVBw6OYt5rhJCpnyQKSMUUwLcSBgGIehCuxOAVTEAy5G59NOXazCsUV+o3v4P3sk8gM3aO6yvVrkBsSoKYF015qLbvc0IMNrwwY5MNG7W2inAmmG7jjNxUnwS2gKj5PV53bYJwCIAi1egECOigI8oQACWFxxRGQDW/r00fviWX/bYy6+a0e85ZiHff/dGANbj5f+yAlgdW0tx6yaF/Uf17IckspWPAgRglY+u5TUqAVjlpWzpx52UuhsrzSnodlWNSVe0lQZgmc1mLP5lDi+BoqJj0O/5YbxsGSMugMX8/Zl7W3DZmIP1VXoWy+ypzABr/o+zeWkXoVRiwNSZvGzLyqhJylpkWHS4NPgzxLw2Adq3x4J5Zx6fdRDrNbdYiLU0shs6+lUt8ZAVBbDmqy7jk5zjaHrPiH6nFS4B1rLsi9jcSI4+sgT8FtmlxHNiDAjAIgCLV6AQI6KAjyhAAJYXHFEZANb63wUYN0bMS63p/zPh7f9wl3vwGqCSGBGA9Xg5kgCsx8tfBGA9Xv6qaICle64nbP7+0PV7jlM4QVoaJAf2QtCoCQQLV/IWtzJkYDVPWoP7Nj1G78/EgBz7l0+VIQPLAbBomsYTteux53X8GI27d2m0am1FQjUr9Po8JN+9jbICWJ/lnsQvyot4J6ghpoQ0LRRHBGAB3gZYjv5XIQYLctq9A+WM2SzAYjYGYjGlhUxzdCFFY1FkV3Tzi3V57VcUwHolYzd25aVg8IU81EvSuARYe2+ewY+dwxBCS3AxfgivexkBWARg8QoUYkQU8BEFCMDygiMqE8CqVt2Glq24s6vOn6Nx9QoNdwFWnep+UKuBq7f1CJRXnowVArC8cHGV4SEIwCpDMb0wFAFYXhC5DA9RkQBLd/0qVuzYwutsaubkouvHs3jZMkaeACxKo0bAz9/zOoa5WnV2Rczy2m6alOiUthFSsw1Tt95HS5u97K1SACyTCczqbwzAatK8DXtef20T4PIlGr36WFCvvhVajRpXL59HZJWq6P/CcN4yO8vAOqC7hyEPdqCRJBzbowv3RPs3AKw2Jub5kCqmo86gw9kAf68DLMfKfQPuqLBx0JRCAMsxyWk5iVisusILYlUEwGKeimsnrUCezYyP9ikh1hhcAqwLZ09ido8I5IkoHIl9HgnCwBLjmgAsArBKDBJiQBTwIQUIwPKCM3wNYImPHQZlscDQriPvs1+3RoDxY8Wo18CKXr25Adb+fQKcPE5j2icmjB7LPwOLACzebiiVYbOnpEi/T+HkeT2iq3oOCls0kuJeGoXjZ/WIifV8nFKdTDnsTABWOYhajkNWJMASJN1ByDtvFzo70YVzoNQqmJ5qBFug/NFrhk5doH5/CqcSjlUISRN37kBJSqLQtpkUQUE2vFGKJu4FAZaz70jMFjPyhEJ4A2AJ0u8jqkFNXlcHs0pZ9vo/edl6YuQoTWqYpsfgEzloQQAWLxmdASyjzYInk1fBZLPgcvxQyOn8zHUCsLwPsJheVxu0tzHn8H1MGPcZJ8BiHF4QYv0S0Rm9ZPGccVARAOuUIRP97m/DE6IgvLYtCUajsUSAta51GC6FC/BdeAe8EFDyvYYALAKweN34iBFRwEcUIADLC47wNYAVHRsGSq/D/ZQs2PxkvBQgAIuXTIWMSAaW+5pV5B4EYFWk+u4fuyIBlujyJUR0bMFr0rrnX0Tur4sJwBrcD6I9u5D9+xYYuvJrll1WACvv2hWs3PknJAYDmtLcvRyVWg0uB8tRMzcXXaeXbwaWLwGsoQ92YL/uHgaeUaFpkoYALF5XtfMeWMzuTAYWk4k1L6IT+vlXz4fZeguWLfgGNhsFk7k955H0Og3k8jNQKKIxcdoInrMBQt4bC79li6CY8yPyXn6N934x4X6s7fuTTJz7ZGZQWLZEiLr1rdi13+B0XEcPLF/LwHL0vzqx/iaafzHHKcBiTsxR/ikAhR8iOqJ/Ad85TrwiANb3yvP4Mvc0RgbWQe0/jvECWCfqhWBbDRFGBD6JL8Ls2YeuNgKwCMAqKUbI60QBX1KAACwveIMALNcikwwsLwQhAJKB5VpnArC8E4dldZTKALCUF8/h933/QGY0ollKGisNnZEOymCAJTIKkEiRGeCPq1GReNJiQ8dxk8tKPq+PU5ElhL4KsGxiMUwtWnH6glLkQnTpIsozA6tgttDkvzMRoDcRgMXzynCWgcXsPk95ETNyT2JIQC18Hd7u0YgkA8u7GVhJZjXapv6BYFqC1F9Pw//Xn1wCLMZRcxXn8JXiDFsE+VNEp2IQqyIA1qD0v3FEn44FkV2RsWIDL4CVGROEn5pIUEccgt1V+5cY1QRgEYBVYpAQA6KADylAAJYXnEEAFgFYXgizEg9BABYBWCUGiY8aaDTAhXOFl6T/cKIYN65T+PIbE2o+YX0084hIm9PVH5kyv4gubWCNjIJ25BucZyu6dAHSbVugGzQEufMWcts8zMCyBodA37MPp40w6S7ERw/BVQaW6kQi1ibuh79WixYnTnCOkxEZicv16qGOQokO07y7eldZhgMBWPlqOjKwbAEB0IwZxx0/d2/D7/fV5Qqw9uhSMeLBLjSig/DclhsQms0EYPEMelcAi1mFkFmNsKrQHydiBxGABaAiemCt1tzAB1mH2dX41n63nRfAYpzFNOFnsrEYiDW3SAmetwEWA5lrJa+ExWbFpfih2LTgZ14Ayy8wEFM7+8Nss+Ja/DAEOMk8dQQnAVgEYPG89REzooBPKEAAlhfcQAAWAVheCLMSD+EJwDpzisbM/xUuuTl6xA4Smja3QlJgYcqBgywYOoJ/77MSJ+xlA5KB5WXB3TjcubM0ej8t4bXHoJcsmPujkRs8lRXAunQBEZ1awRoRCe2ro5xCLunWTdANHIzc35Zw2hCA5dqllb2EsKIBlqPvzzjhEwjZdIQArDJo4u6I6EYpa5Bl0eNAzHOoKQpi/0wysLybgfVu1kH8obmFGaGtMP7LRbwBFuMrpqk7c30wEOvLsLYYFlib9aG3AdZB3T28VGBRgKW/zeUFsPwDArGmRzyY/lkrop5BF78YlzdbArAIwOL1gEWMiAI+ogABWF5wBAFYBGB5IcxKPIQnAGvPLgFGvFSAUrk4yrsTzJg8lbuPRomT8wEDArB8wAlOpuAAWCIxEBVlXziAWSWNpihYrPbf8/KAnGwKjyXA0unQWKvjPPtsi5ktISQZWNxw/NZNGps2CPB0dwuWruIGlz5bQljBGVhMeRVTZrVR0hrn/thCAFYZAixH8/DPQlvhNXldArAqYBVCR/8rpoSu1f8+dwtgMQ5jVjCcnH0EzDvM7IcQy9sAa1buKfyovIAxQQ0wNaQ53AFYt/q3YLPJxgU3wqTgJgRgTZnuVIMAPwKwfPcJkMyMKFBcAQKwvBAVBGARgOWFMCvxEKUBWMyqhR06cq8+efUKjfPnaBCAZXdBx9ZS3LpJYf9RvdNSthKdRQwKKeAAWFFVbBj+sh1kCAU0REIKOoM9Li9dpPH3dgFeeNGC7356zDKwdDo0FHJnmOVo1bgWHEQAVilWISQAq/gN5a5JhXZpGxBIi3Fe0hVL1y0jAKsMAdZ6zS2MyzqIZ2RxWBLZjQAsLwOsgv2vLsUPQdDUiW4DLMZpjB/HZx1kIRaTyTXu66UI+Pl7qD6d5bT8l+vte/Gv38JsMqFJs9agBQJI9u2G+PgxtkTY2LI1jAYDLpw7iYBAOYa8kr/CbZ/7W3HWkIVVUd3Rya+qWwArdHAfvJ6xB22lVbCuSk8CsAjAIk+WRIFKowABWF5wJQFYBGB5IcxKPIQnAGv3TgFeHiJG9Ro2DHyBOwMi8RiNQwcEGDvOjA+nkwwsArBKDEW3DQjAIgDrDQKw3L5uXO2wSHUF03MS2SbV31mfxBICsNC/DAEWUz7IlBHKKCGuJAyFEDQpIQzwXgnhGs0NvJ91GL1lCZgf2cVjgMVcQ5u1d8Bk1Flgw4wTGZg6+hOvAKw8mxm1k1ZAQNG4ET8MYkrgFsDq9fJraJC8GhJKgJsJw0GzBZHcGykhJBlYZfoGQwYjCpSzAgRglbPAzPAEYBGA5YUwK/EQBGC5lqgylBCeSKQxoA+/XlEjRprxxdePB3AkAIsALAKwSrzFu2XANG9nmrh/F94B/bX+BGBVqVqmAItxRrd7m3HVmIsNVXqhlTSKACwvAiwm+43Jnvo0tBVel9ctFcBifPlXXjLeztzHNkX/6rsNeLNWt3LPwPonLxmvZexBG2kVrH+YQeVOCeHQkaPRPm0D7phU2B7dF40k4QRgOVGAlBC69fZBjIkCFa4AAVhecIEnACvjAcWWIRXcmA/YFCjkGQpnwlSrbgNT4sV3i44NA6XX4X5KFmx+Ml67rVsjwPixYtRrYEWv3tylZPv3CXDyOI1pn5gweiz/Zt51qvtBrQau3tYjUM7/PHhNvAKN/KVCCAUUlFrfgAQEYBGAVVABArBKsQphWTdxJyWEnBcnaeJefqsQ1khaDoPNgrNxLyI4S0kAVjkArE9yTmC+6hLGBzfCxOAmBGB5ALD858+D35+boHlzDPR9+/N+omuRug73zFow/a/qiEM8BljiY4dBWezPvNulWrwc9oD9/8JdSehft8uj+dikfjA2a+F0fp6UEH6ck4iFqits/yqmjxWzuQuw3ss6jLWaG49AnrMJkgwskoHF++IihkQBH1CAACwvOMETgLVquRATJxRe/c3ZVD+ZYcKot/kDIwKwvOB0AARgeUfnsjpKZcrAqhpjw5Bh3PeEc2do7NopAAFYBGCV1bXDZ5yIwf0g2rML2b9vgaHr03x2AQFY5QOwDujuYciDHWgoDsNfVZ+F6UE6AVjlALD26ftAjbAAACAASURBVNIw7MFONJFEYGt0HwKwPABYQR++DwZiKT//Gto3x/C6b6SYNWiduh4htAQX44ew+3jaAys6LhyULu/Rcdd2b4aXPn8dMRkKpPb+6NHfzdVqIOPkxTIFWF3SNuG6SYEt0X3QTBLhEcBylFI+618Nv0R0djo/ArAIwOJ1cREjooCPKEAAlhccURqA5e8PhITas5JoNiGLgtVm/12RC2g0FAjA8oITPTgEAVgeiObBLuH9ekB85CCyN/8NQ7uOHoxg3yXs40kQXbyA7E+/hKlBQ17jMI1Xs7Ps38g6tnfHiHEvjWIbicfE5mcUMstay4NCeI3rqZGjhJAALNLE3dMYKrrfZ/8VgYGeH39mQsNGVo+HJQArXzpB+n1ENagJWwWtQvhJznHMV13Gu0ENMTmkKQFYl88jshwAltFmQa3klbDYrLgcPxQSowDLFnwDm42Cydye81rS6zSQy89AoYjGxGkjeF9vIe+Nhd+yRVDM+RF5L7/Ge7+YcD/W9v1J3JnimRkUli0Rom59K3btNzgdd/6Ps9nX2piYbKXivZZ0HjZx9wRg/a65iQlZh9BTFo+FkV3ZeZUVwGLGarFsMk7WS8A33/6B91buZscva4CVadGhccraQj3UmOO4m4F1w6RE57SNiBLIcDpusFP/EYBFABbvmwYxJAr4gAIEYHnBCaUBWE81tKJ7T3v6sljEtGCkYGAfEIC9uwU4fYomAMsLPvTkEARgeaKa+/uUFcCKHNATwkMH3AJh99OSsXXjGl6TbtCoGdp0sK9GVV4bAVhkFcKyjq2Xnpfg4H4aq9cb0LEzAVhF9Q0dPgjSv7chZ/nv0Pfqy0v+igZYHdM24pZJiY1VeqGlNIoArHICWEwwDE7/B4f19/FbRGc8LYgjAEupxICpM3ldJyx48iADa3zWIazT3MT/QlviDXk99lilBViW2DiAsoO5w3Vj0enz4QjV6HHn1e8gv5NU5gBrg/Y22zi+q18slkflZ6y6C7CY+T6ZvBIaqwmJsS8gVhjAqT0BWARg8b4oiSFRwAcUIADLC04gAMu1yKQHlheCEEBl7YHlCwBLIBBAJrM/GKanUzCZgCrRNoiEgNFkgEGvBwFYnsc5aeJecU3cCcByHbcVDbBe6CfhSngpNun6Daz430wT7pu1aJ66DoG0GFfih7K5MqSEsHwysBgn/Ki8gFm5pzA8sDY+9W9FAJYXABZTPsiUEe6s2g/1xKGlA1gPe8ZqJkyCTZTf1qN/p3DsjZLgo1MZmPnWJ2UOsBy9q/4b2gJvyus/up49AVivZOzGrrwU/BjREc/51yAAi0MB0sTd8+czsidRoCIUIADLC6oTgEUAlhfCrMRDEIDlWqLSZGAFBgahdt0G7AEWLxAiJ4fCq2+YERpqQ0b6PaQk3yEAq8QIdW5AABYBWGQVQu7rw1ECVtLl1aatFeu3GLBMfRUfZh9DX/9q+PVhT5yyAlgmkxH/bP2j0FSE166CzsqEuXYdWCPsfXyYLSw80mlGam6uEetXzoXFIoDF2pbz1HQ6NYLkZ5GbG4tJ04dy2phNJjDNs2maRpPmbVibv7YJcPkSjV59LKhX3wqtRo2r5ZiBdcGYjZ73/kRVoT8OhQ8kAKucAVaGRYcmKWvhT4twNX4omLoFZittBpZu0BDYBIJHcXYpXIaWIxvD32hBcs8pkIdGlWkPrJap65Bm1haCcMzBPQFYDoj6SmAdfB7WmgAsArBKersgrxMFfF4BArC84CICsAjA8kKYlXgIArAIwGIUIE3c28AaGQXtSNLEvcSbBgCSgeVapYrOwHIArMEvcS/akJFBYd8eARwAa2TGbuzMS8Gc8HZ4MaAWe3JlBbCYnoBL53/HJ6wQXTUOfQfaG2wX3SoTwGLOrW7yKqisRuyNGID9i38rfQ8siwVVowJ56cz0c8zcd8ypbWXrgbVecwvjsg6ihyweix72vyoLgMUl4POz38SGro0xYdUezN5wuswAVtthw9A29Q8E0WK2d1rBzROAlah/gIHpf7HZaExWGtfmaQnhh+9tBk3rERNjA53P9x4dglnAkekJarX6YdYc7mPzCmQPjQK/+hyBX86A+oMPoZ4y3ekoJAPLQ4HJbkSBClKAACwvCE8AlmuRSQmhF4KQlBCWKDLJwCpRojIxiOjaFqLzZ5G5+zBMjZrwGpNkYLmfgVVWpbUEYLkOUV8BWM6acKckU/h9jZAFWGu36PFk0krobGacj3sJYQIpe3JlDbBoWoAnatdlxxYfPQRh0l0Y2raHJb4adLo8pCTd/lcBrDGZ+7FZewefylvCumorAVguemAFfj0LsOb32pPs+gfi0ydh6PYMjM1aProYrWHh0L7+VrGL01F690loS4x62P+qNAArbHA/UPr85vWCu7chuJfGlgxebVwXjab2hsBqw+V5xyH7+henNwsmE5DJCGzSrDVogQCSfbshPn4Mhs7dYGzZGgz8vXDuJAIC5bAM7IrJ2UfAtXKgJwDLYLOgdvJKdgEopmw4gC6+wrmnAOuHr3+AVKor8X08L88f4yb9p0S7sjYgAKusFSXjEQV8QwECsLzgBwKwCMDyQpiVeAiSgeVaIgKwSgyhMjEgACtfRtWJRKxN3A9/nQ4NhRJOfXO0alwLJgCLlBByX34lZdAUBFjjf7+LF9P/KZaJUdYAi+kJ2LiZvVRJ+ucmiK5cgu7ZATDXrQ+NWoVrVy6gStVYPDuQu/SvsmVgrdXcAANWukvj0Hb9KQKwXACsquEyXu8zTElqxpHTxWzbpK5HslmDf6r2Q4OH/a9KA7CKHkD+8RQE/Pw9VJ/OgmbMODgaxg8JqIWvw9uVCcDa37sO/tTexZdhbdneaQU3TwAWs/+z97fhtCETq6K6o5Nf1WLzLC3A0hvrQUgLi41rtpgglVyBuwBLcvgAxIcPwtiuQ6lWlyYAi9flRIyIAo+dAgRgecFlBGARgOWFMCt0iJ3/CDBymJjXYd+dYMbkqdxLaO/eKcDLQ8SoXsOGgS9wl6gkHqNx6IAAY8eZ8eF07nF4TcRDI08yTQTJSZCtWVHoiP5rV4BOSkLekBGwxMU/es3VA5RjFULSA4u/8wjAIgDL0DV/VS1XkZOURKFtMymCgmwgAKv0AKvhkkP4VXUJY4OewochzR4NSABW+TVxZ0TOsujRKGUNZJQQH2y9B8pKwWRuz+lQvU4DufwMFIpoTJw2gtvpjhJCioJ64kesDUVRkEmF0Ors78H0g3T4L12Ix62EsDQAy1n/K0YPT3tgFXVAUYDFLIrQOu0PNrvpcOzziHeyyp87GVifdZFDaTXicMxAVBPJywRgfZpzgr32JwQ3wgfBxTOfSwuw8vStIRQUz+wymY3w90t0G2AFzp4J5p960lT2n6cbAVieKkf2Iwr4tgIEYHnBPwRgEYBVmjBzPNDdy8rjPQwBWK6lYr7dC+vfk5eerh6gyhNgTXhHjJQkCnN/MiI2zsZrricSaQzoI0HVGBuGDOMGjhXdA4sALAKwCMC6j6gGNWELCGCzOLg24d3b8Pt9NVtilL3+T6fXvzsZWDnz1uKaSYH1VXqijbQKAVheaOLuELlz2kbcMCnx+uFcxOaYCcByEtGO5x1j2/YMlStmRel0EJ0+yS4KUDQDy9H/qrssDosjuxXat7wAFnOQaTmJWKy6UmhhhKIT5wuwVNFBmNNMghihP47HDip2/p5mYG3PS8KojL1oL43G2io9io1LAJYQcllxAMfrwYsYEQWIAl5XgAAsL0hOABYBWKUJs9IArBo1bXjueSeZU0dpHDoowL8xA+txAFhd2klx/RqFPYcMeLJOfk8QV7FUngBLdPE8KJUS5voNYQ0K8jikCcAiAIsALO8DrGa91Tj16Qr4UUJcSxgGwcPV2ZhoJBlY5ZuBxWj8cU4iFqquoPN1LTpdyyMAyxnAqiIHzGa26TZoupgVnZ0F/4W/wlzrSWQcPVPo9fezDmON5gb+G9oCb8rrew1gZVp0aJW6Hkyvqd1V+6OOOKTYvPkCrNN1Q7GlppBdYIFZaKHo5inAyrUa0CB5NSSUADcThj9andExPgFYBGB5/FBHdiQKVIACBGCVseiCB+kQ3rxeaFRHpkf2hm1AgWV4zTWegCW6eC06s/Oq5UJMnCDCUw2t6N7Two4nFjELAlMwmOy/790twOlTND6ZYcKot7khBdfpRceGgdLrcD8lCzY/fv0G1q0RYPxYMeo1sKJXb/vxi2779wlw8jiNaZ+YMHos//mQJu6ug5AALNf6eFJC6ABYVnkQzE81ZA9A0xRoioLZYodFTJmhICXZZQp7eWZg+RrA8kRnLs8RgJWvCumB5fraJiWEZZeBVeODS7j90gH0liVgfmSXQsITgFX+AGu3LhUvP9iFuFwTXjuk8BmANfWDtWwsxMVzZ/majEB6OgWrLRSzvnnG6QU7/8fZ7Gtt2OfT4plTOoMOZwP8EaFUYoCrHlilAFjMyn1JZjX+rvosnhKHFZpreWZgMQf6Ivc0flCeZ/tLMX2mim58AdbaNuG4Ekbjh4iOGOhfo9g4ngIsZiCHPkX7g7HznyHCD3OFbDsJ5ktNvpujiXtpSwgDfpoLSqt9dFjJoQMQHzkIY9sOMLTv+OjvNpkMmrET+E4PpISQt1TEkCjwWClAAFYZu0u2fDGCJ/BbaUM56xtoR43mnAEBWGXsmAoYzl8qhFBAQaktXV8oArBcO88TsOIAWEyvK6bnFbMJhTSENAW90Q5oHU1EK6qEkACsfL+TVQhJE3fSA4v7Psi3hDB00d/IaXgHs8PaYliRxtAEYJU/wMqzmVEnaSWssOHD7VmAgbvht7d7YDnAU0mPSApFFCZOe8VnAZar/lfMpMsbYKmtRrRIXQ/m58YqvdBSGlVIKz4A69z5k/iiZySMAuBs3IuIEPiVKcAal3UQTJnljNBWeFVuXyXUsVU0wKpStxrozIySwhDM6pPp15JLtHMYEIDFWypiSBR4rBQgAMuFu5gPsDaKYr8B4LsRgEUysByxQgAW36umdHYEYOXrV54lhJ7ozOVZkoGVrwrJwHJ97ftiBhbfD/zRMXHo+9wQzhMUpHu5hPB3AehDC2AVm3EydhCihf6F5kUAVvkDLEbwgff+QqLxAV48oULN1BacsVFRAMtstmciF92MRj1ksuvwdYC1QXsb72QewNOyOCwt0v+KOafyBljMMZgMLCYTq5EkHNuj+xaSkg/A2p58DgvbhaC2KBh7YwZw+qM0GVgr1NcxOfsI+vtXx+t3hIXy5A4eEOD4MRrtOljQuk3hlgVNWzpfXbGsMrAIwCrdczDZmyjwb1OAACwXHvck88UBsJjmrNaQUM7R6dxcUBo1/o0ZWGkpd3Hm5NFCujAfus1moGUrKwQFVuGtU78Rnqhd77G9JgnA8o7rPAErJANLgBEjzfjia/7ZgZ7oTADWJugGDkbub0s4LwYCsAjA8koT9xsZwK+b2d48TI+eohsBWN4BWHOyzuIbzVk0v6tD9zONfQpgGU3cX9Tq9XmQB56CQhmFiVN9NwNrYvYRrFJfx8ehLfBWkf5X3gJYTA8sphcW0xOLaSLPNJN3bHwA1o95V7D3SX82O4rJkuLaSgOwmAUcuqZtQlWhP97cdIf3A9qosZOc2pY1wDK2bA2IOJqpm0wQHz9GMrB4e40YEgUqtwIEYJUxwGKWLQ56/x2YGjWBvkdvztElu3ZAfPoElJ9/De2bYzhtKmsJ4c1rl7B35zZeV1WLNh3RuFlrXra+aEQAlne84glYIQCLACztyDc4A1R06QKk27ZAN2gIcuctdGoT0akVrBGR0L46itvm8iVItxKA5RAnYnA/iPbsQvbvW/A4N3F3ZGA1e5iV4LdhHdv3UjdwEMxP1IZapcT1qxfhUxlYESeBV87g7aAGmB7SnACsSzR69bGgnhdXIWREP6HOwIDs7QjRWjB6B/eXcxWVgfW4A6x2aRtw16TCX1WfRUNxGE4dP1wow0iyewfEp05A3/UZmJq3fHQNBAQGoXbdBrwfVuQfT0HAz99D9ekszhVEmdUImVUJa4qCsC9mwKNm6XwA1vuyW7gbJsLCyK7oKYsvc4DFDPhk8kporCa8vysLgXore59itpQkGqmpFOITrIiJtfdDu5+Wwv70CsCqkwA6KxOa/4yHzb9whigzByovDwE/fgtrWBjSr9nnxWcjJYR8VCI2RIHHTwECsFz4zJMMLAKwXJcQOgCWPCgYVaJjWfU3/iGEyQQ897wFIpENWZkPkJOdCXcBVuDsmex4TM8iX9gIwPKOFwjAyteZlBAK8MKLFnz3k5Ez+EQXziGiSxtYI6NQmQAWnZ0N/4W/FDpn2erl7CIEeS8NhyU+4dFr5ifrQtd/IO+L86XnJTi4n8bq9QZ07MxvNUyuwQnAylfF6yWE/TcAtbLxe5UeaCeNLuYekoHlnQwsvd6C+inLoBdRGPt3Tch1BVLOH3qFACz3VyHk6n9VFqW+jEvcHcdss6J12h+4b9bi+/AOeD6gJuvZkgCW1qjH0JgU2CjgesJwyKjiscGMU5oMLGb/EQ92YY8uFS+cVqHBPT0cIP7QAQESj9Fo39GCVq3t93kGAjLb4wSw+Pqr6HkF+JFVCHk/FBBDooAPKEAAFgFYvMKwrFYhvHHtEvbt3IbQsAhUr1mbPfaP34lgMABjx5khkdiQlpKE9PupbgMsT4Ajr5P30IgALNfCXbpIQ6UC6te3QR7EvQISH+kJwMpX6dgRI95/V4GwcBu6Pc29WuitmxROnRSgy9MBmPEFv1VImSN4ojMnyOjaFqLzZ5G5+zCbqcpnI03cXTdxF964hsg2/LRk4FXuwhV8ZGdtKhJgnTmdgpNHVvOaq1KVgA8+epHTNu/aFazc+SckBgOa0hzlKQCUWg0uB8tRMzcXXafPcnrMxy0D62aWAZvHLAdtFOJu7WEQcKwQV1YAy5SbjSUrF0JotaLNnSRWQzo7C1Seli39scn8ofST4nzVaMQaTej1HveXTbm5RqxfORcWiwAWa1tOX+h0agTJzyI3NxaTpg/ltDGbTCw4oGkaTZq3YW3+2ibA5QrKwDLoLXj2zAJcipag19koNLkTXGzeBGC5D7A2am9jbOYBdPOLxbKop1lNHdepI8NIeOc2BPfSYK5eA5aqMTAaDMjOynCZKVlwnJJuQgUzLtdpbmJ81iG211xi7AvsNVcSwDpBKfFpRAbi1FYce+o1p4crLcD6XnkeX+aeRsu7OvS+qCYA66HSBGCVFOHkdaKAbylAAJYLf3gCREgGlusMLAKw3L8BeBKHO/8RYOQwMWrUtOG557mXRE48SuPQQQG7ZDKzdDLXtnunAC8PEaN6DRsGvuBknGM0mG/vGAD54XTucRhY9d+phT84XrpIQaWkUL+BFfKg/KMPfsmMwUO44QvXHD0BK5W1hHDvrlTcvLqKV5DlKjpg0jT7hzo+myc6c41Lmrjnq1JWPbAIwAIIwOK+9x4Iuo4TPQ4g5EI1XHy2M+elXlYAy5yZicVrF0NoNqP9oUOcx1IEB+Ns48aIy1Wg5/TPOW0qM8Aav+NnbGkYiDr3AjEwsSoBWEUUqFrFfYDFNCZnGpQz5bFMmWxB8OTIMJLs2QnxyeOPSgj5lPpyjrN3F8QnEmHo8jSMLVpxlgwzK012TtuEWyYlZoa1xsjAOiUCrEXSB9goV6FrshnLO3KXtzPzKS3AOqpPxwvpfyNaacZbB3MqLcBy+F185CAkhw7A0LYDjO07srHBlVlGABafp0BiQxTwHQUIwCIAi1c0/psysMqqFJFkYOWH1tHDNF7oL+EVa+9NMuP9SeXbXLyyAyyLRQiaLt5HgnGAxWKAUKgHAViVpweWA2DZ/GQwNW3GeZ3RWVkQXrvClg8+bhlYKlUwpH5PcZ6XRqNEaMh5ArCc3DPXNt6N1Np3UOP3Djg4yV7OVHQjAMs7JYRMBtYPK+fi225hkJpovLe1FgFYZQCwOqRtwG2TCtui+6KxJLzCARYzge15SRiVsRcRAj82C2vVb9+DyQhs0qw1aIEAkn272abkhs7dwDQuHx+chFtiI946b8TH/d50+qxUWoDFNJqvnbwSFqsVU//KRKvm9gzHylZCSAAWr8dtYkQUeGwVIACLACxewftvAlieZDxxiUgAVnGAFRFpQ5eu3NlVTJYW848ALLtuXdpJcf0ahT2HDHiyDr/eQ44MLLUmGBIJ9wd+nS4ZQfIkArAqURN34fWriGzblG1wq339bc57OgOv/DZvgK7fc8hdtJLXfZ8x8oUSQgKw/nTqr5hwP/Y1Luhvo2z4od9ymCRGNPt4OLYs4+6rUx4Aq5VCxTlnlcWMC1GR/9oMrGULvsEPXcKQ7S/AK/vjEZNj959jIyWE7mVgcfW/YrQsWurrzQwshy+73duMq8ZcTAlpioA1u50CLFWrlhgccQuUDfj8kB4jRnDfw5lxSwuwmDH63t+KM4YsvHxMgUE1WhCABYBkYPF+JCCGRAGfUIAALAKweAUiAVi8ZCpkRABWcYAVG2fDi0O4SxGPHBaAydQiAKvyACymTOPG1YuFrgvZ0oUQPEiH9pXXYY2q8ug1podIdAz3ykunTxrxztsKhITa8Ex3OwAVCCgIBRQMRjvcu3uHwvFEAdp3EuHLb0I4L9jK2sSdACzvZGAx/Zx+Xb2Ija0Ot+zL0NNZGaB0OlgjImCTyvJ7PJnM6DXhI8449FYT97TwdKzpuhW4E4I23w7G+i0GzvmUB8BqYaM5j6XRaXFBHoi43Fz0dNJrrDKXEDIAa1uDQJyo5oeOV8LR/mpYIZ0IwHIPYG3W3sGYzP3o6heL5Q/7X/kKwDqgu4chD3YgkBZj3M4MCHVGzgys/R0a4POg+6iWbcTYi1YMeaV8AdYnOScwX3UJXa5r8V5wYwKwCMBy/wMO2YMoUMEKEIBFABavECQAi5dMBGA56YHlKCEkAKsb70CqDBlY99OSsXXjGl7n3LRlu0f9OIrucHB/Kq5e4NfbS5uXgPGTuJt5E4BFMrBK08SdaQL9ywZ79lrnffs449rR4yleqUSPqfaVcYtu5QGwOA80JhF47TSwqhHaHGtNAJYPNHFnANbVKAnWtAhCXLYfRhwoDO0JwHIPYE3JPorl6muYGtIcYx72v/IVgMXM47n0v3Bc/wAd7+jR9ZKKE2B9360mtvkp0PWaFr3TBeUOsLblJeHNjL2omWnEXFt9ArAIwOL1jEaMiAK+pAABWARg8YpHArB4yUQAFgFYWLxAiJwcCq++YUZoqA0Z6feQknwHDRo1Q5sO/06AJZZIEBYeyV4fonNnQGs0MDZqAltAADQqFdRqJfgArKK9vSiKgs1mX8HSbDZDJNKCACxSQlj0bl1WqxA+dgBrxXqgTibwn2fRRlCVACwfAVhGmsYXvSLYMH3/zycgsuRnq/EFWDsmv8OuJ2mJS7CHOwXQNAWr5eGKviYjGFAaYTKj8Xe/OX2AcZTaGU0dOG30+jzIA09BoYzCxKmvlDhOGxOTIcvMrPCmM+hwNsAfEUolBjgBu8we7jZx75S2ETdNykL9r3wJYJ0zZKH3/a0QWm0YvzsbHRq0LNYD642e0UgRGvH64VzUNfuVO8DKtRrQIHk1JGYb1uXUZr1FemAJIZdxr1Dr/tM/2YMoQBQobwUIwCIAi1eMEYDFSyYCsAjAIgCrwFXgyMAKDAxC7br21aGKlhDeS0vG/bQUXgBLrQ6GRGrv7cV8WGP+mc32EkKlUomI8PMEYJEeWMVu1uUBsNpl5XC+KajMJlyoEoUKz8AK0QE7lwBGAdD5dbRpThGA5SMAy2ajsKhtPFLCdBh0LAa17gc8iiW+AGv+vG94PZTEZ2ahx/9mlwieHkeAdf3wMdRPXg1/WoSr8UNBFwBnvtADyyH6qxm7sSMvBS3u6jBNUr8QwErv8QxeeiYEEhuFydsfQB4gL3eAxcyrweWFyJUJ8H1OPKqbJRUOsAzd2oJWKqAb8AJsUmmxeKUMBvhtXAerXA7JnmMlxjNp4s7r9kCMiAKPrQIEYBGAxSt4Vy9Pg0bJr/GvFR3w1tg2nOPeuHYJ+3ZuQ2hYBKrXrM3a/PidCAYDMHacGRKJDWkpSUi/n4oWbTqicbPWvObHGJVV8/WyGof0wMp3HSkh/HdnYBGAtYQbdpxIxNrE/fDX6dBQyL1KZ45WjWvBQaijUKLDNO6SNNIDyzs9sARpqfhlo72UtY2Je2EFtVaNi8FBJQIsXd9ugJ8fdP2f54wNJnuGWamMatAQwiX8ynCZgV7oJ8HRIzTe2XkJP4QcQDe/WCwr0BuI62CkB5b3ViFkSggZgLX3ibo4UDcLzW+HoPs5e3Yqs7kLsOqbH2ZcUWB7Apof/p5nMuCOnxSVGWAt2LUBozP3o4tfDFZEPVMotH0JYN0yKdEpdSOL137JjEc0JI9WIdw+rDdmNwlAc50f+u5OQkCgdwBWr8O/4HyMFKPVkeitC6pwgOXwF58H/lFjJxGAxUcoYkMUqMQKEIBFABav8CYAi5dMhYwIwCIAi5QQ2ntgEYBFAFbE4H4Q7dmF7N+3wND1aV431DOnU3DyyGr4yiqEZQmwflm/nJcG8QolejgBl1wDOABWu4P/4LDfbcwMa42RgXVcHosALO8DrLvyZljaKRmhGjHe3lndY4DlAKkUBYiENIwPwarKoMelAFmlBlivb52HZeqr+CikGf4TVHjVXV8CWIxzex/9DeeixeikC8AH6uhHAOvzcf2xI06CkYoQVDt0zWsA660/f8DWpwLRSR+ID1RVfAZgya1WgOJYAMJmhYq2/50ALF5vHcSIKFCpFSAAiwAsXgHuAFjavGCIRIUfFBwDqNXJCAtNAsnAsisSNmcWKJpC1vgpvDR2ZuRJRtjOfwQYOUyMGjVteO557lX/Eo/SOHRQgHcnmDF5qonz8Lt3CvDyEDGq17Bh4AtOxjlGIwRfTwAAIABJREFUsw8/TAbdh6SEkJQQFogkUkK4CbqBg5H7GwFYBGDlXxhMdpUDYMkfJtAUvQFbLBZohQJ4BLCO0pAlLkQebcTJ2EGIFvoTgNXcnhX+1zYBLl+i0auPBfXqW6HVqHH1svcBlsncHl/1uwGTwIqxf9eEXCdk5+duBta/GWDVW/8xbpiU2BrdB00k9p5ijs3XANacZd/h2w5BsFHAvOwE1Nh9EOLjx/DczBeQK6ExJz0aqpPnvAawZiydg3mdQhFpEWJhdnWfAVht8/SwicTF7leUyYQjMnuWMgFYpfpIQXYmClQKBQjAIgCLVyATgMVLpkJGnoAnrqN4Mg4BWK79JTl8AGH9e8ISF4+8ISNYY6GQhpCmoDcyTWgBxkZ8+CDUk6ay/7g2LkDjSRP3slqtb++uVNy8ugpqTTAkEm7QrNMlI0iehFxFB0yaxl3qy3Wu4f16QHzkILI3/w1Du468LggCsB4vgHX/HoV33i784eHyZQpKBYW69a0IDsp3e6u2Vkycwg2+1Solbly9WChGZOtWQ3DnNvIGDYGleo1HrwUU6I9WNKj+DRlYzksRNbgYLPcMYKkzgcUbUF0kx6GYgSVeqyQDq2SAder44UKtyf/eLsClizR69LKgwVP55aSu4tmgt8BRQsgArD9a3cO1qmr0PlMFje/aLy4CsPitQpjRpBGi5r8FCSXA9YRhEKJw1o6vAazFv36LTXWkOJngh5YGf8zYfAUZty9i+JTeCLDRWJoaiwvnTnoNYDH6zOoZAYOQwtKs6ri8T4LEYzTad7SgVWt7PDMxXxIw+uHrHyCV6pCnbw2hoHgTdJPZCH+/ROTl+WPcpP84vRc5/EUAVom3a2JAFCAKMEuF2BxLOP0L5biXrXN51p6AA8vi+bD+9C3MNWvB2KIV5/iiUychunEV9KgxELw1ltNm1XIhJk4Q4amGVnTvaf9ALRYxLSopGNhVXoC9uwU4fYrGJzNMGPU2d3YM1+DRsWGg9DrcT8mCzU/Gy/MEYPGSqZCRJ/GTnZWBowf3FBqHASnMVhQa1K7T4FFj7KKzIwDLtb8IwCIASzvyDe7786ULkG7bAt2gIcidt5DTxnruNCyvD4c1KBj6Xn05bYRJdyE+egho1xGi737htFH5WA+sO7cptG9ZvIEu1+R797Vg/hIj53m5A2SjY+LQ97khnOMQgOUhwHrqFDDqJF6X18WnodzPIQUFJwCrZIDFt0ePq3guCrDOVFfgr8YPUDctEM8dr8q6hAAsfgBrzYi+GDKuNzr7xWBlkf5XjI6+CLAUtAXfPx0BI2XDj7vScVuZhjnPN0MHfSDGZ4Z4HWCtaBWMmxFiTFZGAzuDCMAqsAphrlKNj2bNx8TRL6FGgv3aLLjdTrqHr+atwecfjkJIUCD7EvO3tyZ9g3sPsgvZ9nm6NT794DVIpcUzyxyGc35bh2qxVTCwN/dqoO5/AiF7EAUqtwIEYD30L/ONsUatKuTt8P492N+zNv9T6O9Mk8VAeYGvogu8euG3H3DM6BqMOcxbC8R4avR4zgirrABr/+7LuH5lKyzWSJgt9r4cTINvZmvZ2gqBgGlEegcCOgXRsZ3Rd0BL3legJ8CIa/CKHMedD35NW7aDY6WVoudBAJbrsPFVgFWwV9SSRUJkZ1F45TUzwsNt4LNaH8nA8s4qhBmH92PzmURe96Y4bR56Tv6E0/YRwNJq0eLECU6bjMhIXK5XzytN3B0AKzDQxpZYcW1pqRQOHxKAD8ASSyQIC7c3qBZdvgg6Nxemeg1gDQmB0WAAA+wJwHLWDL4UGVhvbwTqZbCNrZkG1yVtBGC5BljMIjPL5ttX8rt7txqnnFKpHlWqpCMrKwEffvIip01RgKXyM+PHnrcgNdF4b2stdh8CsPgBrNGz3sYvzzTEhyHNMLZI/ytGR18EWGaTCee61MZGfwUaZBkQkZaBvY3i8I46Ep0VUq8DrAO1/LHnSX/0ywtG3e1VCMCSiaDXG/Hx14uwbdcxVI0Kw6+z3y8EsBiwNWbKXJy/cgsN69bEz1+MfwSwuC76ksDUhu0HMX22/Yuyzya9TgBWSW9W5HWiwEMFCMB6KASTKnv6YbpsSdHhChw4AJbEZIJEWDydlhnbYDbDIBLi3wiwVi2/Aq3yTzx4EIUrV+pySl2jxm3ExyfDbO2C0e+2KMkdj16vSPBUViDMAbD8ZP6Ii7c3dpWtWcH+zHtpOPuT+dDH/HMVh39uSkN6Kr9VI3WGDnj3fe5SMtIDy7slhL4CsMoKpFbWEkIHwBJaLJDRAs57lMVshlYkhDcAluJUIk6sXgqbSARrleLfFjMTpHRa0FlZCJMFoOmn9g/jRbdbNyl0bC1FSKgNr73BndV74zqNLZsELOBasNR1Blah5v1FSgiZL42uX71IAJbT1Qw9A1gDhthwYtZS1rW3E0awJVYlbQRg8QdY+/Z15pQzOFiBxo3PugWwmIHmdb+DXH8jXt2XgOhcKQFYVfgBrPqbPsPl2DD8Gd0HTYv0v2J09VWAVatFS7wWmQQDld/8bkF2NYTkWb0OsO6GibGkTTBqmaUYuKkaAVilzMAqemPgytJydi8uCXSVdA8nrxMF/m0KEID10OMOgMV8YywR20soBClJ7E9LXAL702DUs98a8wFY8VnZiAkK4YynNJUCyWGhLgHW8sVp+HtbGiKjbKj5hP0bWgHNFBBSMDOrdDDfBN6mcf8+hc7dYjBqNPe3rNevXGQ/JBTcJExZi9UKY5t2sBX48OWqJK2sSggdACs7OwoKJffKSAH+txEVlfKvBlgFP/gFzp7Jus/Rh4lPJk5lBViOrI2C8Rz00USILp2HcuZsmBo0evSSq0xJkoHluoSQACzXJYQOgBWsVqOulLtBtkalwIWwUJcAKzc7C+tXL4Kfnwz1nmrCxq5s1TIIUlOQN/RlWGLjkJOdhTu3rqFGrTro1qMf53tKxrFD2HzyCK/nlziNBj2nfMppSwCWHDVzc9F1+ixOfcpjFcLS9sBirlUU6M40ak0Wzjx/Dg21YVgU3PjReRTMhit6cgRg8QdYRhN3iY9Br0Rg4Hm3AdY/jR7gVA0FOl4JR/urYQRg8QBYuj9WImLXbMgoIW4k2L/YK7r5KsBq0qw11smVWOFvLzOL1FmxUP0k+9nC2z2wTAIKM3vZm9+/t7E2Th8Wkh5YDwPJkxLCojHoDpRyx5bXGz0xIgpUcgX+1QDLbMn/BuTAgf04eGA/EhISkJBgTxGnP/0f+9P68X/Zn0lJd5GUlIQOHTuhY8dOnKFx8NtvcECrRUJ2NqqFhnHa3M3NQVJoKDpKpOgwcRKnzXdz90Oj2c8r/MTiTpg4iXs+jvPiM5Cr85r/211kZCxDXl4w/PzyIUHBcRWKJISE3IVQ2AmTp3DP59dfmAe8TVAqoyCXcwMspfIOgoOTIRB0w5QP23FOXa/XI+PBg0KvCbp1YX+37N5b6O9BQUEICg7mHOfBg3Ts3LGj0GvU/n3s77ZOhb9pbdiwERo24j53rsGZpuDMZjZzl4hw7cPE2IrlyxAUFIxGD4/lSRyuWXMXt24ug1YbDJmMe84q1V0EBSXBbOmE//6X21/btwP9+1GoVQsYMoR7uaxDh4A9eyhMmgzMnMlts2XLXVw4v4xPGMJm64Rp07nn49CHz0Cu4pnxsaBbVyChGqyvjLQPRwHMUuS2h+5ibJh/zPXvuAcUPS6Xv376mUJ2FjBmjA3h4UBaWhpu3bqJFi1aonuPnpxT5xpn3jwKmZnA6NE2RETwu/9s33YXZ84sg0YTDH9/br9rNHcRGJgEtaYTvvjCtc4F45BauhRU0l1YX3mF1Y3P/ZDrvKj5v4G6fx/WUW8C0dG8xtm58y6OJy6DWh2MgICH58X4CxQcbRxzcxUIDT0HnS4BM2a+wqkzdfYMBM2bAVWqwPrm29w258+B2rQRtmHDYVnKHbPJe3Zj+ZHDYABWowB7/4uim0KhwLmQYCTk5WH4519w2mRmZuC3X3+BTOaP5s2b28NwyWJQycmwjnwViI8HY3PlyhXUq1cfzw18nnOc5AMHsPzAPgTk5aGmk76GGq0GtwICkKDVYvisLznHOZ6Yjvnzd0AkAmKcVJ5ptWDj0t8/CnO/s5fZ87kuqJUrQN26Beuw4UDNmmD0OX/+HOITEjBiBLe/jh29i927l0GlCkZgoLP7mAJBQeegVifgiy+5x1FevoQfN/wBqcGAVmL7SlZFt2yNGhcDA1FLocDgr+dw32JSUjBz6WL2tU5OVg9UqNU4Jw9EgkqF4bO/5h7n3j3MXLTA9TgaNc4FBiJBqcTwr77hHgfAzBl2GKkT0TgfK8Gx6jLkygTofVGNlnfz2xm40ll3/x7mLFwAodmMdgL7anj2YGTeCO3/VWg0OBcYgASFAsOd6KN/8ADfzP+1+DgFZq/UanE2wB/xCgVGOBknO9uIX+Z9AYtFAJpuz3nuWq0SAQFnoVDE4auvX+W0MZlMmP3lLNA0jfbt7eBp0yYK588D/QfY0KghoFKpcPbsGcTExGLkq69xjqPXA998bdeZeX/i2nQ6BWSyc8jOTsCcb7njUKezYM43M2FjlqKDfSGMm5EarGyVgthcP7x+qBry8tTw9z8NhSIaX309itvvFgtmzrJ/sVUwDtn3L4e/dDqck/khISsLw+d+X2L8OD8vDWSyU+wz2+yv3ipxHGfXhVanw0mZHyKUKrz5lZPrgllMhekTZDbDOm06wJXdmpWJjVeP4IXZo9A9MA7bavbhnJPjunA8q1P//AMq8RhsPXrA1qo1r/sPM3CxcXbuAHX0KGzPdIetTRve4zBxyMRju3btYRRSGCa+AoWERu9UAz6QNwbzTHv8eCLkQUF4551xTnX++qsvYTAY0LZtOwiFQuzeTeHwYaBbNxvatQP7WmLiMcjlcrzzLneLkoLntbpXAq4JdBhxqBpSNsnQtasN7R9ecsznB2abOu1jp/OZPu0rtom70dgWIuaNo8hmMhkhFh+FTuePGTPfLzl+jEaAYxVCmEzYL7aP72o+xfx1YD+offtg69gJts72Z3qu87JYbZCI8hcCKC3Acif7ipkTAVhOQ4O8QBTgVOBfDbAyFPpHopw4dggnEw+jamw8YmLj2b/7fzGD/amdMo39mZaajHupyWjeqh1atOZ+qDr7y/c4atAhgcnACubOwEpV2jOw2gjFaPyfCZyOWfTrERj0B1lgJJXa+20xDyfM5nhAMRiU8PNTgBJ0wNtj23KO4ziv8IhIhEdEsTaStatBWczQDx7CLL2GrMwHyMrMcHleK5amQq1Yyc5HJG7IeSy1KgmhoUmwoQPGjOOez4olV6BWboFCGQV//yc5x9Go7yAkJAUWWxeMHc/dA4vxw+Y/VvO6rF35q6zG4ZpIZIgf++eMXH490Rhbx3yYHmt16tlXkfMkDjdvSMW9lJUswBJLuP2l1SQhODgJekMHTJjE7a+dO2gMf1GMGjVteH4Qd0+cY0dpHNxP493xZkz9L3fZ0Y6/UnHrOr+SRqO5A8a9zz0fhz4CgRAyf3vmC53xAJReD2tkFGxSKQwGe6akK7/b9u+Bfvx/YImMgvHp7uw4TIajgAaMZvsnANGFcxBeOA/RS8MhnMy9CuH1aynY/fcqiMVBCA2367x9Kw2VimJ7BMnlQJ42DSrlbSRUb47e/bpxxiyX3xctELA9sF59g+mBxe/+s3tnKq5fXskCLImU2++6vCTI5UlQKDviw4+5S0e55iNdtRyC5CToh46AJT6B1/2Qaxy/JQtAp6dDN/J1WKtE8xrnwN5UXDq/kgVYUj/7eTH3Q5qmYHn4RYRSqUB42Hnk5SXg/Q9f4tTZcvokjK+PYHswGZw0X2dWyhMfPQyqY2dIv5vHOc6Dg/uw4XQiC7Dq+XFnYKmV+RlYfT+yfxlSdMvJzsTaFfYMrAaNmrIvS1csZTOwdMNehjUuHozNrRvX8ETtunimF3cG1oNjh7Ah0Q7UnM5HpcKF0GDEazToM/UzzvmcOJaCk4mreN1XGWA0aRq3zpzxs3YVuwoh875jqVETTAnh1csXUDUmDv1fGMp5zNMnU5B4eBULsPxk3PGs0SgQEnweSlUCpkznnk/etStY+vcWSAwGNONYKYs5uEKrweUgJgNLge6fOM/A+nG9/T7W1skXE2qNBheY1QOVSvT5+HPO86LT7+OntXY46nQcrQYXguxN3Pv8l3scZv/3Vn+Ls3F+uBSdD+ZiMmwYccWECMoGppQ1L0/rUmdjejoWrl3KgqeWD1dzY64vIU3DZLETfXWeFhfkgYjPzUWfT7iBrDEzAwtXLS40TlEBHOPE5eair5NxcnONWLPsWxZgWW3cX2Ll5akQJD+L3NxYfPTJME6dGWCw4Oc5LMBq1tL+nsLcn5nVA5n7c/0GNmjUaly5dA5RVapi4Iv2FWmLbkwPrEW/2KGvycy9Aqter0BgwHlkZSdg+qfcccj0wFr069cswDJb7EDNLLDhy2evsf+fsL0WKGUe5IFnWID14X9f5r4WLRbM+9EOgRzxw/pLQMP0MC5VBj0u+ssQn5mFPjO+cnpNz/uupPPSIjDgFPvM9uHHD7/s4RjNMY6zeNbp9TgTIEOEUokXnFwXrH/eG8OsLsWuEPzoobfA8SiTCaufEGFnoyh8FNoM40K47wuO+Tie1cW7dkB08jiM3brD1KIlr/sPc9hi4+zZCdHxRBi7Pg1Ty9a8x2HikInHZi3agBYIcOHyISju30WDiFoIadiKfWY5d+YEuwrhiNdGO/XXwnlzYTQa0LRFazDPQQf20WzpX8fOVnb1QOa1c6dPICAgECNeH1Oi3892exKb/HLR8VIE6MUR6NDJitZt7Nc88/mB2UaPm+x0nG+//J4FWDpDG6erEMqkx9hVCN//kHvRqoI6t9MZ2FL4ohvj98N+9nucq/kU9Zfo8EGID+6HsV0HmDrY4TPXecmkQgRI8+F9aQCWo49W66b1efe0IgDLaYiRF4gCnAr8qwFWwVUIHSWETEPZqjF2gOVJ6ZajB1ZpSwiXzD8Kk+Egm44uD7LPRyBgCBbzge3hA6UqGWFhSQDdAaPGcH8Q5TqvgDmzQZlNUL83CRCKeDWHLrMSwmVXoFX9yT4MyWS1OYNSq7nLAixXPbAcJU4CgQAyWYBdHw9KPsuq5xTXiXjSk4urZ5AncegoIdQwAEtsB2FFN602GSHBSXDVA+uvrVk4tG8PpFIgIoI75UClApRKCuERT2HCZO6+Zrv+ScWdG6tYsCKWOJmPJhkhIUkwmDpg7ATueObsqbR6Bev7vCHD2XJfPiWWWf9sxcYbl3m9LTAlPg0mTOG0dZyXQhGMs2fzy3UKGsfGpuKJJ25Co22BCZPtWYJFN67zqsgm7mWls6/1wMo4uBebz3E3Sy/qE1e9q3y1hNBVSaNarcTF0BC4KiE8eTwFZ46vRl5eAMTiGpyxmqfTQh54Cyo1Awq5m1Vz+p30wHqkpyD9Pn5Zv5z93ZMSwiSzGmvUN7BOewv3zVp2nCCrAN30cljXhUJxQYLBQ8yIi7OxH7BL6jVGSggrroSQ8d3atqm4FaVFv1PReOIaDbncDrAmTuMGarBYMH+ePSvPET8MwBIJaRgf9lRjANalADvA6vE/7p53zP6OUjtnpZF6PQPU7ABr4lTuzLKC47RhV8l++G1rgTuIzqBjM+8YgDVgqj17jGvjs9rjz51CkREoxObo3mgusS8SUXT7P3vnAR1V0Ybhd3s2yW42CZAAKRQLvZfQu2BDRRQpIupv7wVQEBsqiggi9o5UEQsC0ntLqEkg9JIKpG7v7T9zNyFtdnMTNrAJc8/ZwyE7d+7cd7655dmvBHIIIQFYsu1bIN2fCOvAIbD1SLguIYREM3O/jvgk7BJaXA5B3Jx4FkJYbEhXA7AOpJzE3G//qDLBe1mbZQDL6yWBfcEUoCrAAFaxLAxgZfnM7RWoAOtqc0X5CxiRpOr7dm0tt8hIniWyWfuU/8XWV64xf43HXwBrzaocXMri5zllsvTDS6/TwVOgAqyySbi5R+4yIRhWpwNWsZh7QagKYGm1Kpw7Tw9xiojIQbN4BrBuad2OWw/BC3+CKPcyjI88DldUNC/guGtHNk4eXcp5YMmCPACUeF+RT0mIrlarRcMGvqsQlgAs38nX7TBKJD5zV9V3gEU8noLkdNBMQFhkRCoDWF6Tr+txTBXGeWAN9/KiXhOAZXE7scaYjuWGM0i0XOYi+4QQoEW+FV0yzRgX2xUiCLBimRhZWQIGsIh3k92OX76bx3lgde7muTetWyvC8TQhV4SgTVsXjAY9Th6/vgDrYAs1NnbMQ5tsBUbsVDKABaAt50lWGYTlCx14dmRTSJxunG35CMTFHoMMYDnRo6fHA+to8kGEhCowbpJ3T64SwNc8oSceaXABUocQvd9oxQDWVQIsX95XJRUMH7h7YCXPLAawGKVhClRPAQawGMDi9QLJAJZvwFebSa+vpwdWCcAym0MhkdA9MsyWXChCc1EXAVaYwYA2suBSICIASnLj5Rh0yAxX8QJYvjzLDIaLiAg/B72xO1690Tywzp7CmvWroJDK0DrSkyw2aMM6CIsKYRlxJxfKl6PXgWjd7aZW6DyCHiLnb4DlO/m6GkcjIxnAYgCr0tPU9Uji7hRZkf7gUPxjPA+9y86NqYk4BA+F3ozxiluw+psvub917eEJtWMAq3Ta6grA0ssdWDDiHGR2IZ77ozEDWAD6FBRR32Y2NgvFpwNj0OaiEZt6P+f1jYd5YPEDWOS68XhkOvJEdnSf0xLDbxFzoYhkIz/sk+2J5+m5esl3C+Ys4EIITZYEryGEIfIkLoTwpSlVz1dvkwVuSg4sEkK4N9gTQuhrPBXnXbp3F2S7d8Laux9sfT0/JtPOK1QuhjJYghIAtXZz4hXbunNoAt5//TEEBUlRAqFST5y78v3j4+7Eq08+wP3/r/92IfFw2pX2ZQ2UBrBI+xmzf7rSrElUJL6b/RpaxNOrCVfvFZ+1ZgrUXwUYwCqeW+aBxTywSjxEagKM/BWK6G8PLF+hbc2apYN8fIUQlgAsn6F/xaGIDGDRPVZuZICVt30zVh07DJVGg07JydQ7aXqzZiCf3kUatPWSG4UBLH5VCP0VQsg8sK5vFUKtVIi10UKsu0XFhUqRTSwQ4jZ5LMYqbsFAeRPO+4psFV/YGMCqewCLjPjbYRdQFGrDQ5saopU17YYPIRy43VNMp+L26ZgErO0eh1GH8rDgfu9ghQEs/gDrM+VlbA/S45Y/G+NBifKGBlj193WfnRlToH4pwAAWA1jMA+vv5QiUUEQGsHznwMo9fAD/7t0GpbskxACQHEuFUKuBvX1HuJRhyBIJkC0UoEd0DDp6SQ5dkgOLvPC3tXkSz3NJwQUCkGo0ZMtyOZHZsAHzwCoJ/atBrjEGsCJ8enKpCwuwcpkniXub9p05uwte+huXxN00biKcMbEoKizAhXN1DGBdOIs1a/8q73m3fSuEly7COmgInNGNobNZcbIwH03CI3Hn+MepT1ZHDmfh4N5lXBJ3byGNBoMWEeGeJO6vT6Pn5CJJ3JdsWs0lce8irJwgmBxcS5K4q0gSdzUGz7j2AMslAA5GybA+Xo6k6CA4igtiRent+F9cLzwUehMiREGVdGIAKwZTZtCLANQVDywyqZvb52H/TWr0TFPg9gvnbniA1e/cBc99WVMEoV4PV3gE3KEKPPZwR2REBOHNrZfx/GP03JQ0sCvbugnSg/thGTwM9m6eJO5V5Yaj9rNtM6QHkmAdNBS27j1590NCWYk9du6awCVxD5QcWMQD6z+5Ft8o8hB1KAxP5EQzgFW/3vPZ2TAF6qUCDGAxgMUAFgNYePE1eu6qQPPAugKeeHj0+Mpd5a9++OT2Yh5Yh6HSatHh/HnqTTSjUSNkNG3KPLDqEcDKO5iIVYk7fXreaVQqJHfqhFidHiOm0asi3kgA6+1e4UiKLq0k2O+CHjddcqDf+QIMf6vqpNcshLDy5aUuAawLjUxY1icLjYokeHZvzg0PsErsWbZlI6SHDsAy5DYUde+CcQ3OQ+xy46uUINx131ivL2bMA4u/B1a62IoXIjIhL5Ditb3NGcCql6/77KSYAvVLgXoPsMrGF5eNYybTyKoQ1v0qhFfrOUXz6KmYfJ2PR4+/PKdqs5/vvhHDoBfgyWccUCjcvMBlfQVYebu3Y1XyfoSZLehw8RJ3VRfm5UJgtcDZKAqQBSEjIpzLgdVTHooOXspRM4DlO/Q4f9sm/JN2BGF6PdoEhVDvnjkWIzIVCvQuVKPtO3TPFxZCWLc8sBjAql4S98+6hmFjnBwqqwsTThowOMsMl4Ykg1ciTqNlAIty5TCb9QhTJkOtrh8eWOQUPx15BnaRC69vKoAjN+qGrkJIA1i7erfGh6RiXoENU7MUDGCJRNi1Q4T9SUL0G1CzJO4lOt8fcQ42sQuvbLgJgzt7wpOvRw4sb6GjZDzbBw7kxlWbObDq1ys+OxumQP1VoF4DrIqlTEmVB7KVJNtjAIsBLH954tQmeLqanFxlAV+9Alg6HdoXFFKvzJnBcmRER/sM/aPNV8jyxRBmZsA0dgKcsfG8AB8DWAxgtfYC5gw6DY5G1s0QQl+581QqDTp1SvZZhfAKwCrjeScgOZu4Kp+eEF2tXI6UVq1ueA+sE7eE4PdbQhDkdOOznUW4SeNJ1K43GhjAcorgdPWmXufrI8D6o1cOzkQbMDJVjxapKgawAJT1wPp6QDP8G6zB4FNGjDFFMIDlR4D1ovsiLkQZMfpAEzwS7/mxiQGs+vvyz86MKVDXFajXAKtiWdKKQIsBLAawGMDyDSAC1QOrbPXAihdhPtUDGcDKgFrTD1PeooeO0vQJrkEOLOaBdYMDLJ0OreWhHg9HASASCWF3eCpc6Q06HAtX3dAAK6mZHOvaKTg9Pt1VhA4FtiuXMwa2x3iQAAAgAElEQVSwPofzBgNYR5prsK5TLtpcsuK2LcEMYFUAWM8Mi8IFsRWP7VWjpzyaASw/AqzZ+RrsubUAA85E4tXI8OsGsEo8wqR7doFEQ1j79IetTz/e47naKoR1/aWejZ8pcKMoUG8BVkkp1IQubTHqDs/F73zGRUz7+Ed89Mb/uBKlWqPnl06yJe7dxX1iYuMQExvP/S3oI09eDsu0Gdy/2VkZyM7KRELvftyHth348nPssZgQX1iIWFUEtU2WRo2MyAj0kcjQ/aXXqG2++3o3zKadKCiIhyrcMx4heQMA4CpOMq3VZiAyIgMicX+88HJfaj+085J9+jFISVrr5Dfglkh4ndfCX7KgLlwEk0kFqawD9Vg6bQYiIjIgEPbHS6/Sx/PLT2nQqldBq41CSOit1H70+gsIV2XBLRiMV15LoLYhc7Hy9yVQKsPQpp1nPDWZr0tr/8XvJ45BpdOhQyHdoydD7vHo6et0o9vU6bU6Hn+dF62frxYIodcL8NwLLi6EkI89//1nJjIuLIbRqIIsiD7vBn0GVKoMWG39MXUafd7Xrc3EqROLQaoZBsnp/ej1GQhXZcDh7I/Xp9L7uTJfBgPayekhaVl6LTJUqmrPl2zJbxBkZMA2YSJccfG89OF3XhcRrjoLk6kHpr09lGo/hw9mYuf2xXC7VXC6OnJtDh8SwGQCunR1IziYrP90CAUZaNioH8ZPpF9/Nm7IxPGjvnU2GTOgVGZAq+uPd96n60yzH+ni3zgPteroc3HzRqxIPgiSLL9dsAdkVNwyTSSEMBR91Rp0+3A2tc22LZlIObIYer0K8mCP/QgEAg6KlCTd12q0iIxMgckcj2kzxlP7ubh9C1YcTPI5Hp1GjdTICMSZzBj1Nj0308Ud27DiwD7f/Wg1SI0IR5zRhFHvfEAdT2FBPhb9+gPkwcHo2Kkr10a6aCGEWZmwPfwIXLFxIG3OnD6JW1q1wR133UvtJ2fvLvyxd5fv8ei0SA1XIc5gxKh36TmVEvdlInHPYvDxwNIb4jHjXbrOOUn78Meubdx1tV2IB9BwRRKEAjidHg8snV6LVJUKcXo9Rr1HDx09uD8Tu3cu5pK4B4d4u/5ooVKlQKeLx9vv08djOHkCP675m0vi3l0spWqoNuiRFqbETWoN7vJih8LsbMxd/hu3P7kf0DadQY/UMCXitDqMmvkxtY3w0iU8vnUpVnYNA9zAe/s16H3ZWq6tzmhAqlKBOK0Wo2Z+Qu2H/PHzOR9x35U8kyxdLERmpgDjJrgQF+eGTqvF8bRU7tlm9JgJ1H6sly/hm8W/QOxwIEEg8rQhwLHsfJkMSFUoEKfWYJQXfWz5ufh64U/l+6lwRJ3RiFRlKGLVGtzvpR+12oaFP83hAJYbfahjNpl0UCqSodbE4r0PHqa2sdvt+Gr+pxAKheiR4OlnzWohjh0V4K67XWjX3g29Xoe0oylo3Lgpxox/hNqPxQJ8+6VHZ3J/om0WsxahoSkoLIzHzFl0O7SYnfj2q0/gdpNiIZWv4fogB+YPPwuJ041nl4vx3sxH6fPudOLzeR6buGKHFefLakZqcDDiCwpw38dzq7Qfr+dlMSI05BD3zPbOTHqxhbJ22NdJALXnWbXsZrKYcTgkGA21Woyvhj1LNm6A6OB+6G4fgZFDlJC4BXjzv1zExXi3Z9q6EG/aCPGBJDiG3QZH95681gW1ny2bIE5KhGPIMDh6JvDuh9ghscfuPXtDJBJBvHUzxIn74Bg8FI6EXrBarThyaD8USiUef/J5r/P19RefwWazonvPXhCJxNi+TYjEfQIMHORCQi83bFYrDh/aj1CFAv976oUq5/3KdSPVit8GpiPSKMUSa3NuP/L+QLaXX5/mtZ+PP5iHoCAzrNZeEIkrF8hwOGwIkiXCZArBtLdf4j0e8a6dEO/aAUe/AXD086w5PuOpeD0U794J8c4dcPTtD0f/AV77kUmECJIWX/u8jpJ9wRRgCgSKAvUeYD1w90B079iK07siwCo7Cdu3b8eOHTvQrFkz7sNt775b7t/09HSQz4ABAzCwOBa74kRu/+wz7DAY0KywEM0iI6nznF5UhPSICAwICsLAqVOpbebO3Q69fgcKC5shMrJ4PBVaFhWlIyIiHTLZALzxhic2vNJ4aOf14YeA3Q5Mnw5IJNw5VXVe332XjsuXF3IAKzi4E/VYanU6wsPTIZEMwLRp9PF8800q8vL+5h6GwsJaU/vRaM5DpcqEWDwE06fTX7DTN2/Gwj17oLJY0OnyZU8/6emef4vnL12lAvkMCAvDwJdfps/FP/9gYUoKVAYDOoXSX7DTNRpPP243BpbYRIXeiH4LFy6ESqVCp07F+tTAfmqzn7lzAZ0OePVVQKkkclU978uXp+PUqYUcwAoJoc+7VpuOsLB0OBwDMHMmfd7/+ScdKSkLOYAVGkrvR6NJh0qVDrd7AN59l95Pem3O16+/emxo0iTOhvjow++8sqFSnYXF0hOzZo2g2uG//6bjyJGFPsFBs2bpIB+TaQA++YSuz5o16Th0yLfOen06FIp0GAwD8OmnXnSm2XMN9Elfvx4Lk5J8ry+DAemhoRig1WIgMVLKtmFDOhITF3IAS6Gg209RkQYREcmwWOIxa9Yk+nrftAkL9+7lQE8nhQesVNw0ajWSw8MRbzZj0sd0AJG+ZQsW7t7tux+NBskqFeJNJkz6hA4g8vLy8M033yAkJATdu3f3DOXnn4HMTODRR4H4eJA2x48fR9u2bTF69Gj6ee3YgYXbt/Mbj9GISbPpoJB2/fntN4Dk33/4YaBlS0BDzis5GfHx8ZhE1gplS9+zBws3b+YAVidysaHprNUiOSwM8QYDJn36KbXNvn3p2LhxIQewlEr6vOt0GiiVydDr4zFnDn082rQ0fL5yJYKsViTIShOllz1ooV6PowoFbtZoMG7ePOp4kJWF98j8AKCvHECj1yNZoUC8TodJn31G7WdreiqGFewBqTw4OVWPOzPNle2wpB+tFpO8rAuy03vvvecZT/EzSYVlymu+zBcvYvYPP3Dgqa9YTJ8vgwHJoaGI12gwyYs+ltxcfPLtt777MRqRHBKCOI0Gj3rpp7DQhi+/nMUBLJGIDutJ9cnQ0CPQaGIxb95j1DETYPDRRx9xwKBfP08/f/8NpKQA990HdOxI7ok6HD58GDExMXj8cTqgIQDrk088OnubeZNJg+DgZA5gffEF3Q7NZidmz/6AA1gCgedluuL2Zb8zKAizY/RmIf6Y+hTdDp1OvPeBB4p7tUOzGclyOQewJi1YQO+njP14Py8DgoMPcs9sc+c+XWU/3sZjNJtxQC5HQ50Oz3pZFzR7xrp1QFIS9ky8G9M7yNHBKsOoTVk+rz/l+tm+nW7PxUUk4vPyMOmrr6o+r5Jn/g0bgH37gNtuA3r35rW+SOfEDok9Ejsk9oiNG4G9e4Fhw4A+fWCxWJCYmIiwsDC87OV5lfTz8ccfc7Crb9++EIvF2LwZ2L0bGDoU6NsX3Hf79u2DUqnEK6+8wvu8tmwBPrr9JJxSF1YYb0YjtwTkvYhs77zzjtd+3nxzNgew7PY+kEgqAyy73QaJZC/M5hB8/PHrvMcDcmzyIboXa89nPBWvh9ixA9i2DRgwABg0iDs+rR+r3QUCsdjGFGAK1A0F6j3A8uWBZbQ4rszS3t07sXfPLsTGxXMfskk/eJ/71/bW29y/WZkZ3Kd3n37o3Zf+K1ziF59jt9nIeWDFhdM9sDKJB1ZEBPpKZUh4hX5B//rLXTAZPR5Y4REegFXsgIViByxoNQRgZUAs6Y+XX6U/5FHP65NZHMCyTX2TA1h8zuuXnzJRWODxwJIFeTxEKm4l4xGK+uPV1+nj+emHY1AXeTywQhUesFhx0+sIwMqCQDgYr02mhzjlrPkXy9KO+qxylU4gRLNm6Odyo+ebb1GPdaUfgwHtg+kePZk6j0ePr36Ihr8vWwxlWBjatffoUxP7qc1+FswnHljACy+6oFDys+c//8jEhfOLOIAVJKfPOwEiqrAM2Gz9MW0Gfd7XrsnEibRFHMCSB3vpR0cAVgacrv6Y+ia9n9qcL8ki4oGVDsfDE+GKb8ZrXfA7rxwOYJnMPfD2u8Oodkg8udKOLeJe1AsL6foEB6cjKioDekN/vDeTrs+GdZk4mupbZ6MxHUpFBnT6/nj/A3o/NDsUE8+gjIxq6ZO9aQOWH/Z4YLUP8eKBZTQiQxGKfmoNen5MBxlbtmTiyMFFHMAKDvHoQzx6yMfliUiDRq3hPLDMZuIZRPc0yd62Bcv3J/ocj5Z4YEV4PLAefI/uOZW9fRuWJ3lAmLfz0mqKPbBMJjz4Ht3jqSA/H7/+/D2Cg4PRqUs37jzEC3/lPLAcEyfBFRcH0ub0qRNo1boN7hp5H9V+snfvwvI9O32Ph3hgEY8ngxEPzvR4k1TcaPO+bIkAFy4IMHacC81bAFqtBmlHUxEbG4cx4+ieL9mJ+7B8x1YOYLUPLfXAIl5zVzyIi8cTrzfggQ/oHlj7k4hnomddhIR6u/5ooApL4XJyvf8Bfd71J47ju389Hlg9JN48sAw4plTgJo0G986i26EgOwufLvF4YJH7AfU+SDywlErEa3V44KPK4DLFUojbzq+C0e3EwNNGzDhp8NKPxwMrXqvFAx/RgSPZcc4nHtsqeSZZvEiAzAwBJjzsAnmU4TNfxANrwcKfOfDUS1jqhUA85q7MF/EII2BOrcEDXtapLS8XX/zyY6V+yp6glnhgKUI5T64HvfSjLrLhpx8+5QAWBPQfsUwmLRShyRzA+mDWRKqGBBjMnzub88BK6O3pZ/UqAY4eFeDukS607wDOA+toSjIaN2mK8Q/TwRMBWF/O9+jsdNHBk9msQWiIxwNr1my6HRKA9dUXH3MAy+WmP0OuvyUbB1rp0fW4ADse+B/1vOB0Ys4cD1wva4fl5stS6oH1wKdegGwZ+/F2XhazASHFHlgzP/IynjL9eFsXRuKBFezxwHqkGvYs2rAeogP7seCFe/FnvBRjNKFovfu8z+tP2XXhLSl4SRVUArAe+Gw+XWfK+hJt2ghRUiKcQ4fBmdCL1/oinRM7JPbYs1cfDmCJtmyCaN8+OIcMhbNXb1itFhw6sJ8DT08+491z6ovP53BeVj0TekMkFmPbVgH27RVg0GA3evV2cwDr0IEkKBRKPPWs934qXje2bxPg+5uzUdBOj9dMjTHcFgby/kC2171EHpDvPnhvrscDy9YbYpoHlt0GmWwf54H19nv0H5Jp1zHRzh0gH2f/AdyHbHzGU/G8RLt2QrRjO5z9+sM5wINXaf2IRUIGsLyuAvYFUyDwFKi3AItIzXJgeZIwHt6/B42bxqJJ0zjOAkPnzobAYYf+1bqbA8tfuatK+qmNnEr+Sr7ur37qUxL32piv65nEfcvGbJw/vZQDfFJZe+qdwmzKRFhYBjS6fpg8jQ52t23OxtmTS6E3qCDz1o85E2FKlgPLe/J1NY5GRiLWaMKIqcVeuBVmJG/PDqw64glFrE9J3Gm5z1auECMjXYDRDzoQ38wNvU6L0yePcfcUb2XsryRxZzmwyllOhkOPOy+ugdplRZdMM5esu5e9mMBWsDGWA+vGy4FFTOCMshB/DClAhBY42pEO1AjA+uEbj3dfif0QmC8RC2Ertied1YK00GDE5Rdg+HveAWhJziCbnf5jhsViglJxCBptFCZPp4dYknGU9NPL7qSGEJqtZiSHhnAA697pdKBftp+KVQgff/t+nFOK8HZOOIRHTvm8/pTtpyqAFZebh+Ez53h9O6uYU0m2bTOkB5JgHTQUtu49eV0PSee/fDcPDrsdnbsmQCgSQbZ9C6T7E2EdOAS2HgkclDqachChCiXGPuLd023h95/DZrOhU9cEDoT5qwrh7p0i/CXU4syoS+hvUWCyLvq6JHFnObACDxSwETEFAlGBeg2wWBXCGwBg6fVoay3NZVZ2kWW5Xchs2MBnNToGsFgS91tat+PMhgGs0tXDkrgzgFWyLhjAKl0XopxsfPv30nLgoOKDnd6oxzFVGJe7aniZF/V8pxl3XlqDHIcRd4ui0eXfVAjcpQCicj+sCuGNlsSd2IDZYsCXD2bDLhLgUOyDiBYFV353uMEAlvPYEdzxwShIIMBP5xvi3AnfAL0cULM5AEHl0DCd3Yq0YDkYwPLkhiMAa9s5B/ZPPYsQtxDL81sygBWIb+1sTEwBpgCnQL0GWOQE//pvF2bM/ok72TuHJuD91x9DUJAnhIBVIaz7Hlh81jH5hbLdK29QmzKAxQAWA1iVlwYDWAxgMYBVeV3UFGAZXHbcc/k/nLSp0SeoMX5He/y4cnEVIIwBrBsRYJGQvXWDz+NEtAyzIhMwkZZq4QYDWAfNOZj2WF+0t8nxZqaiSg9QBrAOIiRUgXGTnvH6iFzRs4wArKREIQ7PPA2d3IH5RXFQ7z3I7f/E81O89rNgzgIuhNBkSYBYRMmB5bAhRJ7EhRC+NOU53uNhVQj5vN2wNkyBG1eBeg+wfE0tA1gMYPkbYPG5lHTp0QclbtIV29PAAQshLFXJ3/OlUIQhkAAWH/thIYSeEEuS74V8HA5PCJZWq0XDBqkwmuLx8pQxVCnzdm3DqpQDVYT+sRDCsuuCeWCVmlJNAJbd7cKDuRuw35KLdtII/N34Dihy8/HtykUMYM2g5z4jVQhXLrkxQwgJwDrb7iT+7aDA0OBYLGw0pPK17AYDWD82sWPFgFswzhiJuy6JGMCqpRBCArA0L+YgOU6LRw0NEL/9OANYfB7KWBumAFPgmivAAFax5LRcUTUBB0e/X4BEmxlxBYVoGhZOndAcnQaZkRFIEEnR/hl6UsNff9gHu3UXl8RdGebJXSUSkdLEpAy554VNr8tEZGQGIOyHJ56l58Sp7zmw+KyYa+mBxWc8DGDRczwZDZkID8+A1d4Pz79Ct2cGsMByYAUxgFXxOpOXuBurDnqSynvLyaXXa3EsIhyxBgNGvOEpUMIHoF8VwNJq0YGUMOTuXCTrPuB2e5Kfa+VypLRqhVidHiOmzaSO58jhLBzcu4xL4h4kp183SDW6iPBUaHXxeH0aHVyaTp3Akk2ruSTuXYSVvQS48RgNOK5SoqVajcFewEp1Adaw6R/g8byt2GjKQrxYgbVN7kK4UAbR5UsMYKnVGMEAViW7JwBL1CAFn97WABKBEGfiJnD/lttuMID1fH8VTjcNxyx1DOILbQxg1SLAihirwV9dL6KTLRj3bvRU9mYeWHye7FkbpgBT4FoqwAAWA1i4mJOJSzm+Q8mWLcqBQbsERpMKEgn9RUKvz0RkRAZc6IennqcDiKW/nYBRt5pLCBocfAvV1o2GdISHZ8HhGoRnXiwuLV+hpWzPTkTeMwLO2DiYxtIrYZE2xA1ZP2U696Ft/gYifBYvA1gMYFW0k5Ik7nzsh3lgMYBVZwCWRoNOyclUsy6pAlafAdamp+7AMsMZNBTJsbbxXWgq9lS6ZQBLgVgGsKjrggAspfIIvuoThfxwN5ZEDcNAedMbFmC5dmzGfaPjOAC+ouAmWLU6BrBqEWB1G2LHnNvPQOIWYOq6PIhd7joJsLwl7ycLaftATzXCsmAuVC6GMpj+4waf5zLWhinAFLi2CjCAVaz3kU1rcfBUGpqGKtFUEcb9NXiZx8W/BJDk6LXIMejQ7da26DzsTupMMQ+sugmwVD5etNKbNQP5+PLkohlDkwae5KsXC0y8V3V9DyG0WoNgNEVR9ZBKtAgN1VxTDyypTIYGDTzjkRxLgUCrhb19B7iVKhCPFVJxzRdw3LwhGxfO+K4eaDBcRET4OeiN3fHq1EHUc0/cJ8T9d8sQE+PGmHEOapsjh4XYulmESY878OEn9MIFrAohCyH0hwdW2XWRliaEVgO0aeuCSgWu3HthQZ7PKmCXLpzFmrV/QSGVoXVkQ86eg7ZvhfDSRVgHDYEzujF0NitOFuajSXgk7hz/uBebr7seWIfixVjdPgKhQglWRd+BVtJSj2wGsBjAsjv6+gRYa5tF4UA7Nx5Xtsb7ET1vWICVfHI3ZvSPQvsiBz5ytOZd9e9KVUSWxJ1qZ95yYPXt78TSO9JxXmzFxEQNWhTYGMDi/QTPGjIFmALXSgEGsIqVPjbvY+yTCNEsPZ370DY+IIMBLAawSmyHAazSVVQCevhc2K5lCCGf8TCA5anSGLxsMURZGTCNnQBnbDwvz838bZvwT9oRhOn1aBPk8T6puOVYjMhUKNC7UI2279Bz4uzakY2TR5dCr1dBxkIIK2no7xBCPuuicdNY3HXfWGpTahGAP5ZBdOE8TA+MhbN5C14vonU1hPCXjtFY216BIIEIv0cPRzdZo3I61QbAKsnlt32LCHl5Agwa4kTDRm6YjUZkZV7wCRztuZfx6x+/QexwoLvbE64mEAASkRC24hxzepMRx8IUiFOrMdxL6J8jPx+//P5LuX4qGojBbMRRJQNYVQGs45JorBjuQjOJEnuajrphAdZc8xFsiw/FhLMWjFG253XdIGIxgFWzJO4EYJ0cmoeVwWr0PWvC0JMGBrD43BBZG6YAU+CaKsAAFgNYvF5E62sIob88nmirlgEsBrCIAswDy38AS6tV4dz5jp4XbO4lWwBXcU4luVyD1q1SWBJ3L6CwOjmw+DyFMIDlyUVZcdsa7sLsAU04+/wtehgGVQz/qqUQwqrmzNd8MYCVikbRTXDP6AlUGa1W4LcfZnPf2ez96G0sWigUqVze0jffpedis1qc+O3Hz+B2C1AVwNJoGuOniSLoXTbsbjoKzSXK0uPeIDmwSLa88apT0EuFmJtowM0tOjOA9f3nsNViCCEBWLL+BsxQ5aCx1oGndhXxAlh79vSB3V45BE8qtaF3773XvAphb6MFbqmn4nzZTeCwY69cxv2JhRBWdddg3zMFAlcBBrAqACw+U+UrlIx5YNUtDywGsHznPluzKgeXspbAYFBBKvOSu8qYiXBVBkyWfnjpdXrus9Mnddi4Lq3c8ko7JoROC7Rt54YyzJPYmWyt2sRi6PAY6lIsyVkWZLOhIaVkM9mJhCZp5UE+Qz5JaODpk8fKHSNk+WIIMzNgfmgCHHHxV75r0jQWjZt6CilU3Op7CKFIJEZwiMdzSpibC4HVAlejKLiDgrhQMhtJiu2jqqa/PbA0GhWSkztR50Kl0qBTp+QbGmAFWa1oKK780E4Es9osyJPLfSZxp62LP1eIkJEuwP0POhHfrHSdlq1UWHFCblQPrGORUkztGw6HUIAn9l7Gu+PeoNpqbXhgVfXswgCW5960bq0Ix9OEuP1OJxcWazTocfJ4YAKsc0/FYrUxHe9F9MD/lG1Kp/gGAVhHpWZMU2UjQm/Bkt0WOLp2ZwDrGgCsLr2cGNPgHOwCN97YkI8Xnprs9fKyYM4CBAWZwQBWVVdg9j1TgCngTwUYwCpWsySEkI+41xJgabXRCA7xhB+IhOQ3XcDp8rxEmEx5CFNe5lWFUKEMA3nhIJt0327A5YKtVx9AKOKV64d5YPkGPUKtFuK01HLm02DkcO7/Bf9uKPd3Z0wcnGUASdkv/QXUaP18940YBr0ATz7jgELh5uV55y+ARVtXo0fKsG+vECtXWdGrD92boeJ+JQDratcpbf9G946AePdOFK5aD2uf/nwOgfoOsPiIwAAWPTTSoNPgaGQEYo0mjJj6LlVKdWEBVi77GXJ5MNq078y1CV76G0TZWTCNmwhnTCyKCgtw4dwptLi5FYYMH0ntpySEkM98+apCSNv/oftl2LVDiGUrreg/kN86vREB1lmVBK/3i4BZLMCwEwaMPXwJw6d/SJ0SfwKsNX8vK3cMbz8MRDZohF79hlDHwzyw+AOsqtaYPz2wmr3cCy8X7MYAeRMsjbqt9NA3CMD6XpGP1XIN7ttzFk/pGsDOABYWXgOA1TPBxXlgJUtNGH1Yh/mjXvRq9gxgVXVFYN8zBZgCtaEAA1jFqgYqwOI16cJ+eOJZuufLof17cHj/Hl7d+HoRre8Aq2zSYumenZxetmKIwSeZd0lVRD5C+6qKyACWbwUZwLq2Sdz52PO1AFjnz2Ziy/rlkEjDEB7p8QTcslGEwkIBhg13IjzCDZtNC03hUagiYvHAOHpuprxd27Aq5QBUej28JTs36NQ4GhnpEzzl7dmBVUeSquiHAayyXlrB9TgH1qUQEV4cGAmdVIgRpzRIOGNDnFZ7TQBWxTVakx8GGMAKTID12JsPoEPWckgEQpyIGwe5QOyZ7hsAYJHTnDOsAQwyIR7Zp0HzQls5U/flUUgashxYNc+BRQDWn8Fq/BpagC6ZZqzu/4zXR4FFPy6AxWJGxy49IBZLsGe3CIl7hejT14mE3i7Y7TakHjkAeXAIJjz2nNd+KiaVJxXEyXM1+THR1scTtkveZ8hWNvSvYocl/bAQQj5Pb6wNU6DuKsAAVvHcKWZ/CPIhF0pv3hfkYkouqr4AhL9DCHmZFgNYVJn4zFcJMOKjs68XdQawfIcQ0vStyYuWddsmZHw1D+6wMNjbeXIhVdxIonFRZgYa9eoL1WvT+Ewt14Z5YJVKRUIDCwtyy2kXNn0KxMdSoftwNuztOlz5LlQRBuLhSdv8FUJIA7tLFolx+ZIA4yc6EB3t5hVaUl8BljnlMLJmvgV3cDDsnbtR50JYmA/xyRMIad4STT9dwHtdMA+sUqlEOdn49u+l3B+IJzbZ1DIhB6/ygkUYkmXG0zuykaYK4w2wqpqIOI0Ww9+ie3L567rKAFZgAqzJbz2MOy6tQYq1AL82GoJhwbGeKb8BAFZ2uAQ/9gmH3O7C5I0FEJZGL3MSMICVAJFIhF07RNifJES/AU706OmCzWbF0eSDCAm9OoBFqhC+FJGJMLMTx1vTq8SSefA3wCopRiE5mgrJsVTuWYNUhibb6ROetA8MYFV112DfMwXqvwIMYBXPcaABrN9+Oo5TJ44iJKMqA8UAACAASURBVBSIiPDcuUnCYhJEWJK0WKMWQK8HmrVojyeeLZMfoYzdkhe/izlZ5SxZMXc24LDD8MoUuCWlSRd95frxmwfWohMwaldDrY6Cw3mrlxV2AQ0bZMHhGoRnXuxObVMCjJyxcTCNfdhrm6qAo78Bllsm43IEXZkvAYnWLJ4/rRZCndYnAA1UDyyzORRiSQuqzhZLLhShuT5zYPnrRctf804bDwNYpaoQABi8fHE5mcj/yd/JeiPrrmTzBf0DFWDxubX7Cv0LNA8s8emTaNS7C1yRkTA+/jT19MSnTkC+6i+YR94H9c9L+EjAtWEAq8y6oACsj7upsC02CD0uWzFznxp6ox7HGMC6Us2woqHV1SqELZrKuVOJia1AUopP0G4DcnMF6NzFhTUbrdT1Vd0k7gRgfaZJxlxNMh5RtMJHkQmefm8AgLWpdSj2tAxG10wz7k7VV9KTL8CKdRLQ7Em/UXazuhzIk0gQl5uH4TPneL0eVvQMkm3bDOmBJFgHDYWte09eP5yQzn/5bh4cdjs6d02AUCSCbPsWSPcnwjpwCGw9Erh8kkdTDiJUocTYR+jXcNLPtQoh5K79YadglAmxN+Z+xIsVVI38DbD43JgYwOKjEmvDFKjfCjCAVTy/gQawli4SY/IrErTv4MJtI5zcKKUSIQjCsto9/9+2RYTDh4R49wM7nnjawdtSG8dEQmAx41JWAdzyYF77+Rtg5eZG4cSJ1tRjt2hxHnFxmdcEYNGSFhNbIBvxtCu7+QJ8NLAiEQshFApgtXnm61p6hPk7BxYfI/GVxJ22f008sBjAujYhhP7yKGQA69rkwGIAKxVaXTxen0av/mY6dQJLNq2GjBQdEFaulEWuT1qjAcdVSrRUqzF4xizqJY/mgfXYsIbICRXh1435aGx0MoD1+y8QOxz1FmBVdS/0N8BKthbgzktrEC0KxqHYBz2Hr8cAq0Tf3tl/IsOhxz//peOet2dD+9EcGJ98tir5r3xfAp6q2oEBrD6cRLt3ipCUKASpQkhCCMn2puMojjUJwqzIBExUtKJKyQBWVRbGvmcKMAVqQwEGsIpVZQDLt3nVV4BFO+smDTxQ72KBifeaC1SAFRwcgpj45tx5rF4lgtkkwN33OCEPdqMwPw+FBXk+q8iVJHHnIwQDWPQqjQbDRUSEn4Pe2B2vTh1ElTJxnxD33y1DTIwbY8bRYfSRw0Js3cwAVkmIwdWEEPKxZ+aB5VGJeWCVWktZgNXW4YJVJMCEu6MgdrmxdHUuBG7AZDHjQmhIlSGEUe1awh0aCsOzL1HNUZx+HvIVyzgPjcKVq/mYLNemJj8MsBDCqkMISzywqpoIfwMs4u/VOnMp9C4btja9F7dKVPUeYKXZinDbxX8RKpQg59sjUH7/NQNYxYZ3LT2wfrx0CKs6KjEiOA4/NRpcqwCrYjEKUVYm5/FNCh6V9fgmg7jrPnqOS/Idy4FV1RWKfc8UqB8KMIDFABYvSy4BWE6nGAIhveqW02GFRGKBC/3w1PP0pPJr/jmOS9lroNdHIS/P84tOVpbHvbtpjBuk0GJk5HmoVFkIUQzEuEd6UMdXm5449Qlg8ZlcX7m91q0pwO7tWyCXAw0a0kMndDoBtBryfQe8MpXuVUcbxzvTJUg7KsR7H9nRth2/6ma1Oe8shLB0lkp0dinD4CjOP1FxDsnDJXnI9JUTMNA8sCRHU9BwUC8uzNc46X/U5SFJO4qgtf/C/MBYqL/5idqGhRD6vrLcCFUIuXtXuAQ/9QlHU40dT+xWlxOlqiTuDGCpMcKLp5tabcPKJZ/D6RTB6epNNTazWY8wZTLU6hhMmTGO2oaEbJHQLaFQiM7dPM8k69aKcDxNiNvvdKJNWxeMBj1OHvcNsMh++/YIyx3j6wVi7geF5150YNAQj5c12UIV4DznaVtNQghJPy/k78RfxvN4K7wbnglrV+8B1mzNEczXpGB0aEv8+tk/CPnhm2oDrNNj7uZ0svXuCwjKzx3RVGA2QXL4IJRSGaKX/u31glbfQwhL8ldqNQLodECYyg2l0iNHtt2AeUMiESwQ43T8BEogpv9yYFWcgBKnAl/PF7RJYwCLz1M/a8MUqPsKMIBVPIfMA8u3MZcALD4m7wtgnTmVhu2b1iIisiGat7yF6+7L+RJYrcDzLzkgk7mRk5WBy5ey0b1Xf3TqWpzzocKBaxNkXE+ARdO3JuPxV26vLZtEmDhWiuYt3Bg1mu4ZRNzOifs5mb83Z9j5mEiN29TmvDOAVTot/tK5vgOsUJMJ8dIgqj2bjQacD1P6rGaoLizAymU/Qy4PRpv2nbl+gpf+BlF2FkzjJsIZE4uiwgJcOHcKLW5uhSHDR1KPxUIIr30IIZmIg/FyrGmvoObpYQCrMjQgmtXFHFi0RffKC1KsWCbC3C9sGDOuFGD5urnVFGD9bTyP5/N3oldQNFZGjygHsIgnIAdkBIBIJISj+P8muw0X5EGIyy/A8PdmVwlobHZPpbeKm8ViglJxCBptFCZPf6TKfnpxKS4q55wyW81IDg1BQ60W9073XZRgUM4/OG3XcF4/Y2bOrxHAatxEBYHNBv1rbxBhKo1bWFSIkB+/haPlzchLSqnyvLr28ITa1bccWFU9jC0YFInCEBFWN74TXWQNKzX3VwhhxY4ZwKpqZtj3TIEbWwEGsIrn398Ai49ZJYikaP/My9SmgZoDi895MYDlSSpfkxxYpOqKcvqUcjITmEC2itUxzQ+N95rAnoQG7tu1pVw/hw4KYbMCXbu5IJWVfnVLq/YoCcuqOL8MYPm2+M0bsnHhzFIYDCpIZfUvhPBqiyTUd4DF53roKxSxvgMsPvr4SsZ85HAWDu5dBp1OhSC5t/WlRUT4tQNY6+Z9BIjFcDZpisUdlNjeTI7xR/UYdMETci4wmyHMz0NDiRSdZ31OlUB0+RKYB1bd8sCqOJHXEmCR8EESRkiyoJ6KHw+5S4AfvvmMz/KqcwDrvF2Hfjl/IUggwsm48WgwbTIDWGVm2t8hhFUZ0X/tFNjfTI7Jqs54WVW58jMDWFUpyL5nCjAFakMBBrAYwOJlV38st+PzOUVQhbvRtCl9l9zLQEGBAA8/Goqnn6OHGTIPrF0+Q678lTybNkNd2wfh8iUBDqZa0LgJPRyQAaydKFy1vhIs9LZIGMDybc8lACvIZkNDET15ts5hg1YmQ+9CNdq+Q0+eTQtJq0kOLH+HEPK5eDKA5VulugawojreArdCCcMzL2DokIbYHynFxq35SCiwcScqvnAO8j+Wwzp4KApX/OsbYEmlsHfvSW0j0KghSTvGcmAFSAjh9QRY5Nh3X1qLw9Z8fN9oEO6UxdRbgPWFNhWfqA/jrpBm+K7hQIS9+RoDWLUAsIYPugyDXoB+/Z2Ex1fabDYB9uwWQjg4F+efPYyeQVH4K/r2Su0YwOLzFMDaMAWYAv5WgAGsAAdYjaLcaHmTBzaIhKQGIeBwef6ffl6AS5cE16QK4crfRXjpOSkv+5vxnh1PP0cPN2MAiwEsXkbkpVEJ4HPLguCKiqK/+Gk1EGq1PkEhbUcWQliqir9DCPnMeV0CWNqkPUj6YwkglcIZ3Zhuh0YjhIUFaBCqRJd3P6a2YR5YQF0GWFH3N4FZJEDunxchd3ruy9UBWHzWBUviHhg5sK43wPpck4JPNUfwUOjN+Cw8ARunvsDFDZZNcE2eEZ3Fz4ckfE54+RIa2R3oNP97r6ZWkjMoUEIIh1/8F8dsRfim4QCMDGnOAFaFmfOXB1brlkHQaQV47kU7gihR8AaDAN99LUbDeDsK/vwRIoEQJ+LGcfmwym4MYPG5irM2TAGmgL8VYADLzwArZOFPCHvtBdg7doZl+B3U+ZJt3gjp4QM+k1KWhBDymfB3P7DjiafpwIi2f+OYSAgsZlzKKoBb7qm4V9XGAJZvhfxVhfBK8uxGUbAMHkY9KAkzJJ/qJresTx5YVdkr+b66+jCAxQAWUYBPEnfSpuGAnnA1bATjo0/Q1+nxNASt+QfmUQ9C/f2vNxTAop1swwdHQrJ1M+eVRLyT+GwlIYRarQoFhZXDV0gfQqEGzZulQKuLx+vTxlC7NZ06gSWbVkNmtaKLkO4JqDUacFylREu1GoO9JBcnVQhLPLBSJr+CzndEoZnRgdS1uVeOywdgCQx6hH79Rbmxyv9eCfGZUzDfNxqOm2+98p2jWXOYH6QnKaedLKtCWKqKP5O4V9T6WoYQkmOn2gpx+8XViBQFIbXJA2gSpeAAln7yNG5oAoEAwUFiGM2ePJTC3Msgz6P2dh2Qvz3R63ILJICV7TCgZ/ZKSARCLnyQhBEyD6zyU3etARb5ET128584ZM3Hb1FDMUQeU25ADGDxuZOxNkwBpoC/FWAAq1hRf+XAqq8Ai1TtIdV7ym5zZ3t+iXnhZQckZZyzBgx0olsPehUe5oHFzwPranMP0S4U9QFgEc8qyTHvCVfLnrcjNp4rwcx3YwCrVCl/eWBZ9+1Gxmcfwa1QwN7Bk6S84ibMuwzxmdNofNOtUHw8j9om0EIIGcDiu6pK210NwNJoVEhO7kQ9qEqlQadOydccYC3+cAom9o7A3TlmLNlTdGVsfAAW7UQiJo5B0H+rUbRwOSx30pP181GdAaxSleoTwCJn1SFrOQqdFmyIuhO3xcbXO4D1nS4N7xcdwG3Bsfil0RBuIhnAKr/qrwfAGr9nH+ZpUvA/ZRu8F1G+MjgDWHyuyqwNU4Ap4G8FGMAqVjTQANbRVCE2rqcDo5dec5QrqjJosBNdutGBEc1gauKBRevn5jg5TCbgdIYZIfSUV5V2q+8Ay0U8p4bcxp23WCTgfhW1F1cFIvl3qvKc8hc4oM1XfQBY/r4Alu2PAaxSNfxlh9LDB9Hgtv5wNm4C08OPUqePrIugdWu4qnuaL75lAKseVCGkTeLVACw+6/5ae2C98dV0zG6jwJtpOryZpmcAi6Q3yM/HL7//ArHDge5uVoWwot3WtAphST8vF+zGH4azmBreBR+39FRoNj00gfuXPGsESUUwWz3e+EKNGkHr18LeoRPyt+71uoQCyQNr5KW1nKfP/Ab9MDq0JQNYlFm7HgDru0MZuO/yOtwiUWFb03vLjYoBLD53J9aGKcAU8LcCDGAFKMCiTXTzJnLYbMCFi2aSeqXGGwNYvqVr0sATVnmxwFNVis/mr+Tr/gIHtDEzgOV7JhnAKtXHX3bob4AlEokRXEzLcy8LuOthVLSbux46HQ6YTEafOZX8lcSdeWDxuSqWb1MTgHXmVBa2b1rG62ASaRwmPfkQtW1thBDeueRdrGsShKV7CnFXjuXKcZkHFgNY3gz2agHWamM6ns7fjm6yRjjQfjSvdVFXAFae04wuWb9zlRaPx41DaHGoL/PAKj/N1wNgHUgzoXXGUpjcDqTEPoQGotKkWQxg8VqGrBFTgCngZwUYwGIAq8YmxTywSqUjnlVh0yaX01JIku4LAGdxct+SL01jJ8A09mGq7v4CBwxgVd+sGcAKfIDFZ1Z9JQVnAOsvmEfeB/XPS/hIybV56H4Zdu0QYtlKK/oP5O/pW/EANQFYJaGjfAbra95rA2DFrf0Q2cEiHF17GfFGJwNYzAOrSjO9WoCld9nQNnMZXHAjd+pKhBXnuyIHFp87w+W9crS8Ga6o6CtjcbS8CZp5X3kdW6B4YP2qP4nphYkYKG+KJVGl+T8DBWA1aRrHaSi6cA6iizlwNm8BZ5MYWK0WFBbk+fzhhOz3y3fzQEJaO3dNgFAkgmz7Fkj3J3JVRm09EmCzWnE05SBCFUqMfeRpr/N1PQDWkTQLJuVtwSZTVjnvODLIQAVYsTYHyoWqlCjqciJL4kl/8sTzU67oHCoXQxlMz49Y5cJmDZgCTIFrrgADWMWSB1oIIc0SmAeW/1+waTrXxAOL1k9IkJgLI9QaPUlV+WwMYPFRqXbaMIDl//Xlbw8sPjPPABb95Ud86gTkq+oWwKLN98MPSbF1swiLltsweGgpOPJlG/4GWOrGUYhY/Q5XeZBUICy7MQ8s5oHlzRavFmCRfkddXockSy6+atgf94a0uHKo8Fefh/y3n6GZ+yVMEx/jc6nk2gQKwHrg8nrstVzG7MjeGK+45cr4AwVgVSWor/sO2beuA6yfdCfwdlES7g9tiS8a9LsiR6ACrKrmi3zPABYflVgbpkBgKsAAVvG8MIBVfQNlHli+NWMAq/o2dT33qE8Ay+kUQyCkJ6ZzOa0Qiy1Qa/phylu9qJL7C6T6C2CRX6cLC0orvZFBv/G6FGfPCPDxHDtuurnUM0gqC0Jkg0bU8yKekg0HJsAtlZbzUijbWGAyQlhYCNOY8dB89QO9H1aFsNpLtSYeWIEKsLb164TB855E73wb1m/LZwCrWAGWA8v3svAHwPpSexSz1IcqgYS6DLA0Lis6ZC7nPMuOxY2FSihjAMuLKV0vD6wzdi0G5vzNhQ+SMMKSjQGsat8K2Q5MAaaAHxRgAKsCwOKjqX7KdJAPbfNXFUJa38wDq1QVf71g03QOBA8stywIrqgoqo0JtBqQany+7JC2I8uB5Xt11yeAxec6VpcAFu187hwWhOQjAqzdZEWnzvxC20oAFh99GMDyqHQ9QwgDFWB9Pul2vPL83XjqrBGfHtYwgFUBYAncbiggoC4zp9MJo1iE2CI1Rrw9i9pGrbZh5ZLP4XSK4HT1prYxm/UIUyZDrY7BlBnjqG3qWxVCcpLHbUUYdvFfKIRSnIgbd0XlugywlhnO4PWCPegVFI2V0SPKzeX19sA6tH9PufHItm2G9EASrIOGwNbdk0ifbApFGG5p3c7rraWue2CRE+uYtRwFTgu2NLkHraTh3LkGGsA69ciDEBgNnrmhJQt22CFN2gd3UBBuXfzXlfliIYR8nopYG6ZA4CjAAFbJzWf2hyBeWHw2BrA8KjEPLN/WcjUeWFdrh7T9GcDyrSoDWKX6+AsQ+8sDizZzNQFY5MFWmny4/AvS5JchPn0S2tmfw3FrqyvfORtFwXHzrVSjYUnc+VyhyrepTx5Yj818DL/c3g0LDmrwyHljuRNlIYS/8DIOBrD6UnWymA1QKo9Ao2mMyW/Rc2V2yFqOQqcFaxrfic6yhlw/dRlgPZy7CVvNOfggoiceVbYuf31+8zWE/PANtB/NgfHJZ3nZFmnUuIkKApsN+tfeoOZCEhYVIuTHb7mcYXlJKbz7Vb79BkK//gK692fB8OxLvPfzF8D6dv58iERWXLjQBy6XGBotoNcJEKZyQ6kAxGIr4uMTYbMr8dwr3nNptW4ZBJ1WgOdetCOoNCf7lfMxGAT47msxGkW5QXJgke2Vgt1YYTiLdyO64wllW+5vgQawots0hzAvl5sbd2hopfkRWMwI/WIuXCoVLp8tDf9mAIu3KbOGTIGAUIABLB/TUBNPHOaB5duuz5xKw/ZNaxER2RDNW3ryHHw5XwKrFXj+JQdkMjdysjJw+VI2uvfqj05dS3/hKtuzv16wa3MV1gRgEc8qybHyD1OR93h+kSxctb7ccB2x8XDGxfM+BQawfEtVHwBW4l4bXntRjQYN3Bg8jJ4f6NwZIQ4dFGLQUAU++NhTcbPi5q/1FWgAi3auDYYPgPTQARSs3w5btx681hMDWLxkKteoPgGsrsum4/DNTbF9cz66FNnKnScDWAxgeVsd/gghJH1PLtyLpfrTeFnVEZNVnbnDXS3Acro8ScorbsSLTSa7BI0mCpPfesTrwi/JpdXLTu47lb3vzFYzkkND0FCrxb3TS38sNrjsaJe1DHa3C0dix6CRSF7uGNfbA6viCV9vgPXV3PmQSq3YvbsvHA5PMvKym0xmRa9e+2A0KvHyVP8CrL+N5/F8/k4MljfFouJE+wxgVf9eyPZgCjAFrl4BBrB8aMgAlm8Dq68eWFe/rDw91ARg0Y5dEzuk9cMAlu+ZDVu5BLLsLBSOGssbDG7ekI0LZ5bCYFBBKmtPPYDBcBER4eegN3bHq1MHUdsk7hPi/rtliIlxY8w4B7XNkcNCLnn1pMcd+PATemGAA0lC3HunDE2aujF2PL2flCNCbN4kwsOTHFz+KNrGAJZvW2EAq/pXyfoEsAQHv+YE0K3IqSTE9QZY1Z8ZwJ57Gb/+8RvEDge6u4VcF6SCrkQkhM3hCc/Vm4w4FqZAnFqN4TPooX/QqGEb2gduiQTm0WOoQxHl5UG2ZSNEt7SCaGlpCE/ZxiyE0LcH1npTJh7P24qOsgb4r/FdnHRXC7CqspvaAlh/Gc/jhfyd6CZrhFWN76g0DAawyktSArDy8ntDIKgMsNxuKxo1TKoVgEXCB0kYoUwgwvl4j3dgoAOsQpkQkdbSFAPMA6uqlc6+ZwrUDQUYwPIxTzUBB8wDy7fh+9sDy9UoCpYht1EPKjmaApLzprq5ovy1dBnA8peS16YfuUyEIIkIakN5jwpfRy8BWGZzKCSS0opQZfcxmwugUFyE3tgDr04dSO2OAaw1MI2bCM0X3/Ke7JqEENI6Zx5YviVnObBK9RHlZKPgvgFot2IGbtU5cGB9+cICpOWNDLCIB3F0y8Zwy2QwvPQ6HWBlZSJ42SLYEvqgYM0mahsGsHwDLJPbgZszFnPaJceOQUORvPYBljYKk6f73wPribxt+M+UgXciuuPJ4rC0skbBABYdYJktvSASVQZYNrsNocG1A7DISG67+C/SbEVcrjKSsyzQAdYdgxrAIRDgh6QixBudYACL9yMWa8gUCGgFGMBiAKvGBloTD6yzp9KwbdNayINDoAqP4I59IEkEhwPo0dMFkdgNvVYLg0HHK4SQz+AZwPKoxDywfFvL1QAsXnbIABZVJgKag9YxgNWmvScUKHjpbxBlZ3FAzxkTi6LCAlw4dwotbm6FIcNHUjUkObwa9e4CV2QkjI/Tw0bEp05AvuovmEfeB/XPS/iYLNeGAazyAGvzGxMwYeYkjM404+fEoko6MoDFAJa3xeWvEELS/wOX12Ov5TLmNeiLB0NvqjHAGj86ide1QKEMwbc/e09SXpMQQovbiVaZS7jwwaSY0YgRV85ZxABWYAGs94sO4DtdGl4M64Cp4V0CGmAlxUdg6JCGkDvdOL7mMueJxQAWr+XOGjEFAl4BBrAYwKqxkV4NwOJzUF85sIhnVdi0yeW6ke7dxf3f1rtfub+bxk6AaSw9GSqfcdS0DfPAqqly12c/BrBKdWchhL5tkIUQVn+N1pcQws9+mopPJw7Du6k6vHpSzwBWGQWYB5bvdeFPgPWt9hhmqg/irpBm+K7hwBoDrKYNyuec8nYGbdq5sGm71esJ1gRgrTWm48n87WgnjcCGJnQ4zwBWYAGs7eYcjM/dhM6yBljT+K6ABlgj72yGbVEyPH/agI+StZyQDGBV/97N9mAKBKICDGAxgFVju7yeAIs26JqEfNb45Hns6C+A1WDkcO5oBf9u4HFU702YB5Zv+WoCsLZtzsfm9VshCwIaNXJTD6DXC0hqGISFt8KU6R2pbVgIIfPAYh5Y/C5vDz8k5XLBLVpuw+Ch9EIFFXsynTqBJZtWQ2a1ootQQj2Q1mjAcZUSLdVqDPaS44mEEE7ctQAbE1rjz12FGHbJU52r7MY8sALPA0sgEKJhdG9umvYnipB+QYCeCS7EN3fBbtNDXZgChbIJHpo4gZ8RkopsL0ixYpkIc7+wYcw4fnboT4B12q7BoJx/oBBKkRY3Fg1efQHy336GZu6XME18jPd57NvjyXlWspHKc5s2iPDEMw4MH1F6XsEhQMdOpbmEKh6gJgDrufyd+Md4nvPkIR49tI0BrPKqlOTAul4hhDa3EzdnLoHT7cLxuHFY9fN3sFjM6NilB8RiCfbsFiFxrxB9+jqR0NsFu92G1CMHuKiLCY89x9suSVV48qluBEVJFcI9M6ag7z3NIHW5cWq1x/uKbAxg8Z4C1pApENAKMIDlY3pqAkRYDizf9l5UmI8L506Xa/TVfPGVKoRSWelXTWPjEd04hvcCqsl88e68Bg39BbBqcGjqLgxg+VayJgCLPPyPvkeGmFg3xoylJ00/fEiIbVtEePxJB97/iJ40nQEsBrAYwOJ3pbveAKtV0WpoFHLupaixuTK4YAArcACWwWDHsl/nwekUYdeu8p7ZJdamVOrQpcthqDVNMeWt8fyMMAAAFhlo16wVuOw04c/o23H7tJk1AlgVT/iN1yRYtFDMFfgghT74btUFWCRskIQPkjDCXU1HoYVEyQBWykGEKpQY+4j36oHXG2CRSSoJX/2+0SAULf03IAHWiL8/xYbYEDx11ohPD2uu2BYDWHxXNGvHFAhsBRjAqucAS5iXC8mZU+XOMvKeEdz/C1f8C8ikV75zNG8JZ5OmvC22Jh5YtM5bNZdDrwdOnrdAoaR7sfAZFANYvlViAIsBLKIAq0JY3g5YEnff64LlwCrVpzDnPDrYd0JlMCPzv8r5r0hLBrACE2ClpPalGrpcrkPrVkfqJMB6o3AfFulP4bmw9vh05i91CmBtNmXhkbwtuEWiwram93q9CDEPrPLSBALAWqBNxcfqw3hYcSva/n0w4ADWyVAh2q6YAbEbOL76MqItpT80MIDF522KtWEKBL4CDGDVc4BFEgKrXvT+a07Z09fN/ASGZ17gbbUMYPmWinlg8TalgGjIPLBKp4HlwPJtkiwHVvWXbH3IgbUzOwVjHUcw5PBZ/H2WnjuIAazAAVg6nR2//zYPLpcIDqcnhLDiZjbrEaZMhlrdFFNm1C0PrE2mLEzK24JW0nAcnrOpTgGsVwp2Y4XhLF5WdcRklaeABW1jACvwAFaKtQB3XFqDeLECz6y/GHAA64HX78Ffgzth0nkjvjhY6n1FlGQAq/r3brYHUyAQFWAAiwGsKwowgOXfJRpoAKsmZ7dlkwgTx0rRvIUbo0bTwwmSEoXYvVOE519y4M0Z9BC5mhz7Wu/DANaNCbDCJr8EyamT0Hz6ORy3tuZlm8fNdAAAIABJREFUdgxg8ZKpXKP6ALC+zdqDmc4zePWPXXjX3YIqAgNYDGB5Wx3+zIFFjmF2O9A6cylXxe/sz6lo+fW31c6BVXGs1yKE8O7pH6BN5lIYXHZsajISbaSeitQMYNWNEEISJ0HmT+ey4c3dBsg0poDJgVU0ogc6fPMMRG4g9b9cxJjKh3kzgFX9ezfbgykQiAowgHWDACx3SChcEfSHBKFGA4FeBwaw/LtE6xPA4qMMA1gsB1ZFO5EePogGt/WHs3ETmB5+lGpGkqMpCFp3/XJg8bHtim0YwKq+avUBYL2QuR5/uS5j4awVuK9lHwawKigQaFUI67sHFpF/XO5G7DBfxJdbM/DclE/qBMCKfPU5PJS7ETHiUCTFjPZ5MWEeWOXlCYQQQjKip/K3Y40xHaNOWNDhnA4tb24NkUiEY8eEOH5MiHbtXWjT1gWn04FzZ05esyTur/36OpYPbIfxZ7T45oihkm0xgFX9ezfbgykQiAowgFXfAdaShVC99Azs7TvCcvtd1LOVbdsM6YEk6N6fBcOzL/G2UxZC6FsqBrB4m1JANGQeWKXTcCOFENbE+BjAqr5q9QFgDc74A6fcRiQ/Ph8thtNfvJkHFvPA8rY6/O2BRY7zo+443inaj7vOa7D6wWl1AmAlPn0Xl7vr2bB2mB7ejQGsHgmwWa04WkeSuJMJW6w/jamFe9E+z4H799PzAZad2GtRhTDdrkO/7D8BN3Dkr3Q0d5Xm+C0ZCwNY1b93sz2YAoGoAANYDGCBAazaWZoMYNWOrrXVa30AWIcOCDHydhmkUqBRFL0ggtEAqNUCPPKYAx/Npod8MoDl28oYwKr+KqzrAIuEabXIWASx3Q7T8BkwPf08VQQGsBjAupYA6zx5ac/5C8EOF3S9X4R+zhcwTXys+gu0eI/aDiFsoNXirYfbQeOyYm3ju9BJ1oABrDoIsC46jOie/QfkDjemrs+v0t6uBcAqyav20MaD+CFbAXdoaKVxMYBV5VSxBkyBOqEAA1gMYDGAVUtLtT4ALJo03TsG4WKOAPuTLWgaU/OqkbUke427rU8Ai48IfACWWxYEV1QUtTuBVgMSMqSfMp370DYWQvgPzKMehPr7X6n6qAsLsHLZz5DLg9GmvSeRMSm8IcrOgmncRDhjYlFUWIAL506hxc2tMGT4SDo0OX0SjXp3gSsyEsbH6UU7xKdOQL7qL5hH3gf1z0v4mAjXhlUh9EiVaivE7RdXo+PpbBx56kuvBU8YwGIA61oCLHKs3tl/IsOhx6Znv0C3h54PaIClk9ow97YYNBLJcSR2TJXXIRZCWF6iQAkhLGt3005JEW8ScAPNyhQgO0uA2Dg3YmJLnw9lsiAMu+O+Kue7pIFi9ocgH1/PF2U7y3EY0TvnTzhdThwb8wHiRjzIABZvtVlDpkDdU4ABLB9z1qRBMPftxQIT75kNWfgTwl57AfaOnWEZfgd1P9nmjZAePgDtR3NgfPJZ3n2HysUQCgTQmfgnyg5mIYS89fV3Qwaw/K1o7fbHAFapviUeWHwUZwDrCapMkuNpCFrDAFaJOHXdA2u54QxeK9iDiWuT8OucvxnAolg9y4Hl+4pZGyGE5IgzipLws+4EXlm6FW/HDAxogLXjJim2tVLhf8o2eC+iB59bTI3aNG6igsBmg/61NwCRqFIfwqJChPz4LRwtb0ZeUgrvYyjffgOhX39R7ZQbv3w3Dw67HZ27JkAoEkG2fQuk+xNhHTgEtjrogUUEe6NwHxcK+kZ4F7wQ1oHTcPYsCeZ/JsbkN+x4+XV6XlA+YlcXYJFwRhLWeN+eE/jrpQVcOhTmgcVHadaGKVA3FWAAy8e8kQso2bx5F9B2ZQCr+guhVXM59Hrg5HkLFMqae/TUBDhWf7T892AAi79WgdCyPgAsso6OpQrLyfnai1JkZAjw2Xwb4puVrq/oxm6uuiRtIy+ikmPlH+rlyxZDnJkB09gJcMbFX9nNERtf7v9l+2MeWAxg1ReA9XZREn7SncBn8/7EK/8eYACLASysWCbC3C9sGDOufKUzb/ez2gJY28w5mJC7Cbdm5CIxo2FAA6y5QyKhk4vwV/Tt6BlE9+71x/MAA1hKvDyV7o1L9G3dMgg6rQDPvWhHUFBlxQ0GAb77WsylIjiSZqFOyX+mDDyRtw29g6LxR/SI6waw8pxm9Mj+g6vGefTpr9Hu4DEGsPyxiFgfTIEAVoABLD9PTqACLD6nWdeTuDcYOZw7zYJ/N/A53VpvwwBWrUvs1wPUB4BFE2RIfxlOHhdi8w4rWrd1+VWzqjpjAIsBrBIbCT6VhlCzHgXNWsGlUlVlOl6/f/ghKbZuFmHRchsGD+UHDkynTmDJptWQWa3oIpRQ+9YaDTiuUqKlWo3BM2ZVajP68nrss1zGlmfmY9DJSwxgMYAVMACLvLjfcn4hbCIBjie5EDYmMHNg/dc0DN/3i4BKKMOxuLHwBJ3VzsYAVu0DLJ3LhjaZSyESCHEmbjykAtF18cAq8UAcGhyLDQP/B2FebpVGRe5Bl89evNKORLgog+n3hio7Yw2YAkyBa64AA1h+lpwBrOoL6i8PrOofuXb3YACrdvX1d+9XA7CUSjfatqd7M126KED6BQH+95QD731ID/9N3CfE/XfLEBPjxphxdLf7I4eF3Iv7pMcd+PAT/mHEDGD521IAlsS9+ppKxUIoQyQo0Fqrv3OZPa4XwCIvalqXDYWDJyPcLWIAiwGsgAFYZCr+t20+1jUPw7en3Lh7+KM1XmO1mcT9s25R2HVTMCYqWmFWZEKNx8hnRwawah9gkXm4+9JaHLbmY2nUbRggb3LNAVaB04KOWcs5k/iv8V0Y3rk7A1h8FghrwxSo4wowgPV/9s4DPIqq6+P/7ZveSSUgCNI7ClJERIogIgIiil3BBoqACFg+CyCiIoo0QUSlCMpLU5AiglKkFwUpCqRBSN8ku9nd7H7PnZCQhE12Znd2dyY58z7vE8mce+65/3Nnkvz23nNFTqDUAJaj4cUmRICdxJGWlAG7X0mdL1euRol+KCwEzlw0IiDAFQ8lbQhgua6dL1pSEffrqu/9Q4kh9+l4pYEAluM/qjQnjkH/80auaHnOnPm8tGRG/e/W4+gRBTZtLUKbtt5dWUYAi3eaygzlDLCSrfm4LXkNYhU6pLZ/CvagYAJYBLAkBbB+WfAmnujTAM0KgK3NHxf+gF5r4UmA9fh9icjxU2FldG9084tzOUY+DQlgeQdgfZB9GHNyj2NUcHO8Gd7R6wDr3eyDmJ97Et394rAiuvcNUyPow2kI+uA9GMa/DsOkN6qcOrQCi89TRTakgHQUIIAlci4IYAkXlACWcM182YIAFgEsvvOPthDSFsLSuSIWwJr2jgaHDyox5S1WEJkfuHR3C+EvhUl4In077lJEYlv7YQSwHGyxZHmmIu7Vvxk9VQOL9Ro4/iUkPt4MuYF+2BjbH211UXxf0xXsPAWwTvsVY2zfeOgtNpxp9ARUHt1ACBDA8g7AYtuq2fbqptowbIu7z6sAi21hbJu0CiZ7MdbH9kd7B3OeAJZLrwFqRApIXgECWCKniACWcEEJYAnXzJctCGBdV58dGf39SnWFdHz1pQrZWQpuq194xPVb7drbcOddjmv20BZCWoHVrGVbbrL4L18GVXIStyKtOKEusjIz8N/5f9CgURPc1Wegw0dffeY06tzeDraICBQ85bhwr/qfU/Bb9yOMA+9H9pLveL9Chj+gw+7flFixpgjde/ADRo6ciwWweAdezrAUYOlNJnTat8+hi8yICJxo2dJhDazZOcfwYc4RjFHWx6ft7vEIwHJlXGK1sVy5jKWrl0FttaKjveQQCIUC0KiUMFtLcm4oLMDJkCAkZmejDwEsvPKSVlIrsMLGvYjJkXmYPaInhgc2wkeRXVyaHp4CWF810mFlizB0Pp+HNXeNcSk2IY0IYHkHYFlhQ6OL38FsL8axusOxZGaQ104hLF391VkfgzXXishXniMEsIQ8NWRLCshHAQJYIueqNgEssaQjgCWWkt7xQwCrep27d9Lj/DkFfttrws2N+J2qSQBLOMA687ca5iIV6jcqQmCgd+Z+aS+0hVC43nIGWM+m/4pNhRexQNUSz7btRgCLAJYkAVbyzo1o/OPb8FeocSxxOPdV6OUpgPXsneG4GKrFcztTMfXxyULDEmxPAMs7AIslZuSVrdhhTMHnUd1xds4tXgFYbPVVh+TVKLBZsCqmD7rqYx3OEQJYgh8dakAKyEIBAlgip0kOAEvkIbvtjgCW2xJ61QEBLPEB1v59SgweoINOB0TVcQy98vOBnOySlV1CirgfO6pEYQHQuq0N/q6XvHNpjnlyC6Feo4K/nwpZeWaXYnOnUW0CWO++pcGxI0q8+a4FrVrLcwVWviEPK76eD61Wh5ZtOnCp9/thFdTnz8H4wIOwNrwZuTnZOHfmb9St1wB97x1SYXp0SfkRFyx5+F3dGV3atCWARQBLkgDLb9kSdNrxBfYHAx9EdMYjQbcIfs25C7CC7eznV8XzBbP9VHi3VwR0Vjtmrj6PIa+/JzguoQ0IYHkPYC3K+wtvZx3AsMCbEbvoTq8ArE9yjmFWzhG00IZjS5zjlclszhDAEvrkkD0pIA8FCGCJnCcCWMIFJYAlXDNftiCA5TmAxSevQgEWH5+esiGAJf8aWGLNDV+uwHIHYBntVtx88VtoFEpcVN+J2Na3EMAigCVZgDXvu7l4/hYFWmkj8HPcvYIfX3cBlqMOf2/oj21NA9EyxYTRO5MwaMr7guMS2oAAlvcA1mlzNu5KXYdIlR4PfzvS4wCrwG5Bh6TVYKuwvom+Gz394qucHgSwhD45ZE8KyEMBAlgi54kAlnBBCWAJ18yXLQhgEcDiO/8IYBHAKp0rcgVYB4vScV/aT2iri8TPtjaIbt2YABYBLMkCrCuzP0ej7noYbGZsj7sPTbRhfF/XnJ0nANairmFICdVg2KFc3HE6nQCWSgXdzu3Q/rkPRT3ugvnWTjAXFeHEsYMIDArGQ485rmPI8jP340+h1RbBaOoMlerGLaJmixmB/vtRUOA9gMXiap20EhnFJozcNBTfvBWJCZMseHm8VdDcK28cNPN9sP8bJk7h/l/+mpt7AtOyDzldfcXaEMByOQXUkBSQtAIEsERODwEs4YL+uU+J4mKgcxfXt6cI79XzLQL0aqhVCuQWWDzfmRd7IIAlPsAy5Clw8kTFbResSDArEj/7czMS6l7fVhgTa8dNDfjV1vLitHDYFQEsAlhyB1jLDKfxeuY+PBzUGB+ZEglgURF3bkpLsYg720KY8/HneKV/Myw1nMbIoFswI6KzoB8DrgIsS4dmYD+VCoc/UmEHYYZeiTv6x0BfbMeRkZ/APzIa6vVbBcXkijGtwPIuwBqbsRtr8s+jx6HbsXNUa48BLHbiYMfk1cgqNmFxnZ7o659Y7fQggOXK00NtSAHpK0AAS+QcEcASWVAZuyOAJa/k+elUYHWVsvPdq6nkShF3R0rd2UWPM/8osOP3ItzSRJ5wt+YCrJOIuuNW2AMCYGnTzuFEV169CnY6oHHwMGQvXOrQJjszA2tWLIGfnz/cOoXw7D+o07kt7H7+sLRr7ziejAywkwiN9w1G9uJvvf5wynUF1qTMvfjG8A/ej+iEp/ICCWARwJI8wDo8/H5uSxcr4v5X4kPQKlS8n3dXAVZcVABgt8MwYXLJEZbXri8aB2JSmxAM/DcX64a9DmuTpkj//RDveFw1JIDlXYDF4BWDWA1SEvHvff09BrBK62011oRiR/ygStXWbpwtrgKs7FwDJk9fhAnPDUeDenE3OP73Yio+nLcS015/BmEhQdx99r1REz9C6pXMCvb9e3XCO+OfhF6vdXU6UztSgBSopAABLJGnBAEskQWVsTsCWPJKHgEs8fNV0wEWH8W8CbB4xUMAi5OJbxH3e9M24XDRVayN6YfOmRYCWASwJA+wCh99Ev3TNuJoUQY+iuyC4YGN+LwaOBuxAVbfO6OwJ0qLJVsv4onXPyCA1b4TlDVwCyHbPsi2EWqsali6PIUJE4pF30Josdtwa/JqpBcbMT+qB+4NqO90XgsFWCaTGW/OWoJN2/YhLjoCC2a+WgFgMbD1/KTZOH7qPFo1bYgvZrxcBrAcBfPxwtWonxCDwfd0cxorGZACpAB/BQhg8deKlyUBLF4y1QqjmgqwDh9Uoqio5m35JIAl/mNZUwGW8mo6Ar5aVEEw/2+XQpWagsKHH0NxfELZPUvT5jDdO8ihuGKtwFJmZiJg8XxeCbTe0pRbheXtS64rsFgBd1bI/Vy9RxCYepkAFgEsWQCs5YYzmJC5B+10UdgQ25/34y4mwMrWKlF/UCw0NjsuLT6B6AXzaz3AYjWuFOx/udlQ5uXBFhrG1dSz2W0oyDfItgYWm2A9U/6Hfyw5wNODMKFvpOgA62vDaUzO3If6mmDsjr8fSqfrr1yvgeXKCqzKD5mjVVq8H0QyJAVIgWoVIIAl8gQhgCWyoDJ2V1MBloxTUm3oUgNYR48oYSwE2rSzwc9PnqrXVIDlKBuR/e6E9sB+ZPy0gyvKy+cSC2Dx6cvXNnIEWP9a8tAt5UckqgOxN2EIVCnJBLAIYMkCYBXarWh9aSXY19/jB+MmTTCvV4CYAGtxwwC80j4UfdJM+GHtaQQsWVjrAZazJMi1iDsb19tZf2JR3t/Aog6YENZGVIBlhQ0dk0pWX30a2Q1DAhs6k5K7L3QFVqlTMQAWrb7ilSIyIgVcUqBWA6x8o+snZFSltmbxIuheep5XMopmfQLL8y/ysmVGWk3J5w1FFnnWw+E90BpiqFEroVRQvuSSTrVaAbVSCZO52K2Q27VR4ewZBQ4dKUbjW+RRbN2tAVfTWHXwAPy63w57XBwsTzzt0FJ57CjUG9fD8uhjKJr/Je9Q2AEJarUSpiL38sW7QyeGfnd2g2r/Phh37EJxJ36FkzMyruLrJQuhVCoRGFRSR0Nx+QoURSbYo2Ng1+tgMVtgNBbilibNMGDg/WKF63U/KqWC+xlm9EG+8vJysWj+59DpdGjf4TZu7OpVK6A8dxbWB4fDdnNjZGdn4dTfJ3FTg5sxeMiDnM3avH/xaPJ23BtUH8vr3g1FchICGjeAPTgYlpdedjyfz5+DeuVyFPfqDeP6TV7X2ZUOiy6n4fNlS6C2WtFZeb1eklKpgM1W8g7LLcjH8aAg1MvOwZDpHzrsRpGbg4DYKECng3n8a45tLl2E5puvUdylK4xbf3Vok51lxpIvP0RxsQpQdHVoU1iYi6DAo8jOqYv3pj3q0CY3x4IvF86EzaaCHY79GAvzEBh4BDk5CXh32mO85Rs9SonvvlFi3nwbHnmU3+9kRmMxvvhsBux2BWz27g77MhYaEBh4GDk5sXh32pO849G/OBrqJYtR9Pk8WJ4sede+lLYbS7NP47nwFpgZw++dNPYlJZYsVmL2HBueeprfuFhfgQFargaWefIbZTWw+nUJx446Wiw8nIvHD16EZuF82Jo2Q+GhY7zH5aphYGgAYDbDPGkKoLqxBpgiMxOa+XNha9QIhcf+5t2NbtIEaObMRtH0mbCMfYV3uzmfzITF4vxAn+DgEDwzuuq/C6a/N4s7hdBs7gKV2sEphOYi+On3cacQvvl/L1UZX904NXJygM6d7XDghkmH/fsViIkBzv7L72+lLfmXMOTSFuB4DKb+dx9ee53//KkcqPb9d6B9/12Yp7wB85Q3sSznH7yQugt1NYE42Wg4r9VXzKd22nvQvvd/ML8+BeY33q5SD/b7uk6jLLvvLsCi1Ve8Hw0yJAVcUqBWA6y8Quc/TISqql28CPoxL/BqZvrwY5iFACy1EgqFAkUWafzBxmuQtdiIrThgfwC4C0RqsYReHbpGpeROjTS6CbA6tFHj7FkFDhyxonFjAlgBd3ThAJb5iacc5lPFAawNsIx8DMb5FbflVTcBGGzUahQo9AEQcRRXQM/uHMAq2P4bb4CVmXEVyyptRaxqzAxg3VPFVkSvPigudsYAll6rQoGJ3x9DLnbjsBkDWIsXzOUAVrsOt3I2mlUrOYBlGTac+yOWAazTf/+Fmxo0xKAHSgDWu1cPYlbGUbwe1Q6TIttBmZyMwFtKAJb5pbEO+1KePw/NyuWw9uqNwnUbxRyGx3wxgPXFN19xAKvTNYDFPixjP7+KrwGsvHIAa/C0mQ5jYQArKK4OB7CKxk90rM+lS2UAq+CXHQ5tsrPNWPrlrGsAq4tDm8LCvDKA9c77Ix3nPceCxYs+vAawqvJjQNA1gPV/7zsGYY6cPz9Khe++VWLu/GI8MpLfH+oMYM3//INrAMtxTZzCwnwEXQNY//f+E7xz7vfic9B8tRimz76A+RrAOmLKQI///odgpRbnGj8MHY9i7i+PUeGrxUp88mkxnhQAsIIDdRzAKpo8lQNYBrUCMQNiuPiTf7qC8JTL0C5cwAGs/INHeY/LVcPgsEAOYBVNmlwlwNLO/4J79vOP/sW7G/3rE6GdMxum6R/APIY/wEpJToLdfn2eaBctgvqH72F++hlYhwwr61+lUiM2Lr7KeD54/yMOYDm7GMCa+nbVIKxevIYDWM4uBrD+Oc/vb6VCmxXxp5fBBhsmbnoSUyZcB0LO+ql8X/f+u9BNexdFk9+AccpUtDy3CsmWfHwW2w2Pht7C251u+nvQvfcOiiZNQdEbb1XZjv2+zn4+lV7uAKzSOlqd2jWn2le8M0WGpIAwBWo1wErNNApTy0XroFnTAZsNholTXPRQ0izQTw2lQgFPgDe3AqPGDhWgLYTymhhS20IoL/UcR1ubthBWVQOrujyWbiHkk+sGjZrgrj4D+ZhK0saXWwhZbZnlS+dxugQFhXBflRnpUBiNsEXVgV3vB2uxBcbCQiTWb4g+Ax7gbB5P346thUlYUqcn+vgn0hbCkCAkemELYU6OGau/nc0BrKxsx+DJVpyH6OijyM5OwMQ3Rjic83l5Fqxa9gl3r9iW6NDGajFDp7tcrR9HDV95SYvvV6jw8RwzHhzB70PFIlMxln35EQewLFbHK8JMxnwEB7MVYbGYMNUxmHMUT9i4F+G3bAlyPv4crIh76XV36nr8bc7CZ1HdMTiggdN3g1hbCJfX98foW8Nw55UirPstA8qMq7V6C2Fl4UPenoyAz2cj7+33kf8ifxA29+NPeQOsl18bXWW+m92sR27O9dMiqzKsE23Hkb9MTudNqcFtf25Bcp009Dh+G6b2jUFTbRjvtuUNg2a+D/Z/9nfT1y88hJeu7kK8OgB/JgwV5M8XWwgPHDuNj+evdlrgXdBAyJgUIAUqKEAAS0YTggCWjJIFgACWvPJFAEv8fNUmgOWKelaLBVfT0yo0DXl9PNR/n0Tu9FmwNmtRdk/vF4Cw8AhXupFEG6kALGdilAdYHZNXI9VagP0JQ5CgDiSA5QOAtXu345VKISG5aNv2CG+A5Szv1YEwOQOsbw3/4LXMveisj8GamL7OZBDtFMJW/aNxIUCNOQdz8Pi/BQSwKinva4A1d44aJtN1gPX7LiX+3KdEl2423Nb5+kqxwEA7Rj3Pf9XskPUnsbfVwbLRstpr9/rXR/+A+mihDXc6/0oNygOs9g83w1lLLmZEdMbIIP6rr5gvbwMsWn3FO8VkSAq4pQABLLfk825jAlje1dvd3ghguaugd9uLBbCOHlbCaJR38XWxlCeAJVzJyAG9oN23Bxkbt8LcyfHqE+Fefd9CbgArz2ZG00vL4adQcycQsouKuHt/BRYBLH7PblUrsFgR9+aXVsBsL+ZVzF2MFVjTWwRjevNg1C+w4tDP6dwphLQCq2IeXQVYTW7yg8EAvDjWwnbq3nAZDAosnMe2Idpx8Dj/lVMz3tPgs9lqvDbFgjGv8AdWlQP4YIYac/akoeW4s7jU4AJybeYykwaaYAzwr497A+qjmROYVQqwvv7sPTzeORx1VH7c6iuNQti2RKEAqxRAbdq2ryzu/r064Z3xT0Kv14JtLXx+0mwcP3W+7P5TI/pj3LMlK8N+/Gk39h3+q8ye39NLVqQAKSBUAQJYQhXzoT0BLB+K70LXBLBcEM2HTcQCWD4cguS6JoAlPCUEsIRrxqdFWsqlCmZB774J7cE/YZj6DswdS+pisUun90N4RBT2mC5j6OXNuFUfjbUx/bh7BLC8A7AMBjNWfj2bq131338lW+0yM4HCQgXCI+wI8Af0+lzExx9FkTkBL45zvIWwsBB45tH9XA3v2zo5rlPFYMCJ40qEhgdh7sJmfKYSZyO1LYRB8+YgcNvPyB41BqbeJfO19Hol43d8n38Oo4Kb483wjtWO0V2AdeqtN9C2fwyKlAps3JmB7ukl9ZoIYFWUvaYCrJnTNfj0IzUmTLLgxfFm7DKmYn3BBWwpvAT2oUDp5QxmMYAV+OE0NNv+KU4Hq/F2+K14Jpj/81naj1CAxfsFQIakACngUwUIYPlUfmGdE8ASppevrQlg+ToDwvongCVMLz7WBLD4qFTRhgCWcM1caRH+0GDot25G1vIfbviDn/ljx8GzY+EfD2qC9yM6cV0QwPIOwLJYzFi6YDaUKhXati/R/qeNKpz6W4l+A4rRrJkN+YY8/HPqBKJj4zHwgYcdTgEGsBol+kGjAca84rgQdWqqAiu+VaNdBxs2bHZeHLsMCkmsBhY7JCEyRIcr2TeuujlUdBUD0zYhXKXHkYRhUFezisVdgNV7w8fYGqvH4CQjlu7NKssLAazaB7BeHn99JZfVbsNOYwo2FJbALIPt+vPoCGYxgLVj/wYM+mg0N28PJAyFnschBJVfBASwXPnpSG1IAekrQABL+jkqi5AAloySRTWw5JUsAASwxE8ZASzhmhLAEq6ZKy2cAaxxGX9gVf5ZfBTZBcMDGxHAKizASS/VwCKAJbyIe3UAi03eu1LX4bQ5GwuiemBAQP0qHxl3ANb99oKSAAAgAElEQVT6bi1x38ejEWC148hPVxBjul7cngBW7QZYlSfcL4VJ2Fh4AT8XXATb5lp6ldbMutegwwTTcRzVFuGNsA4YHXK9HqSQ9z0BLCFqkS0pIB8FCGDJJ1d0CqGMcsVCpRVY8koYASzx80UAS7imBLCEa+ZKC2cAq0/qepw0Z+Gn2AForYskgEUAq8I0k9oWQmcAa3HeKbyZtR/d/OKwMrq36AArLCEUjX98G8l1QjH9aC5eOJNfoQ8CWASwqpp0bEXW2oJ/sa0wGcZyMIvZhyi1OFB3KAIUGlde8y4XcXepM2pECpACXlOAAJbXpHa/I1qB5b6G3vRAAMubarvfFwEs9zWs7IEAlnBNCWAJ18yVFs4AVvyFpZzb8/VGlm1doS2EtIWwdK7JDWCVHkrA4t+bMASJ6kCHj42rK7DmvvUQpj3RBy1yLNjzS/oNvglgEcDi855mMGtdwX/cNkOTvRivhbXDmJBWfJo6tKEVWC5LRw1JAUkrQABL0umpGBwBLBkli1ZgyStZtIXQI/kigCVcVgJYwjVzpUV1AOsfSw56pvwPjTQh2Bl/f5l7AlgEsOQKsFjcYzJ244f88xwQYGDA0eUKwDpvyUX3lLWcu23b0nFr1o31xghgEcAS8p4ushdjuzEZ3fSxCFJqhTStYEsAy2XpqCEpIGkFCGBJOj0EsGSUnhtCpRVY8soercASP18EsIRrSgBLuGautKgOYHF/5GfsxsCAmzAv6g4CWAAMtIWwwjST2wosFvxe02UMubyZK4p9rO6DUEJxw6PjCsBip3WyUzsf37APcwoTAMWNfmsKwAr4ahH81q5BwVOjYLxvsCuvHq5NbTiFsHwRd5eFcrOh/6rv4P/dMhQOfxiFIx6t0htbIBDs79o2RTdDpOakACngggIEsFwQzVdNaAWWr5R3rV8CWK7p5qtWBLDEV54AlnBNCWAJ18yVFtUBrHezD2J+7klMCmuHl8ptX6EVWLQCq3SuyRFgsdi7pvyI/yx5+LJOT/TzT3QbYK0v+A/PXf0NoQYjzt7/FnTPjKnRAMuVd42jNgSwxFJSHD8EsMTRkbyQAt5SgACWt5QWoR8CWCKI6EUXBLC8KLYIXRHAEkHESi4IYAnXlACWcM1caVEdwHroyi/YZUzFN9G90NMvocw9ASwCWHIHWAzMMkDb0y8e30Tf7RbAyrdZ0C3lR6QXGzFvxkqMXrMLhgmTCWDxeCERwOIhkhdNCGB5UWzqihQQQQECWCKI6C0XBLC8pbQ4/RDAEkdHb3khgCW+0pojhxB1dzfYIiJgurufww7U/52Hdv9eFD78GHI+ncc7CL1GBX8/FbLyzLzbyMGQAJZ3slQdwGp6aTlY0evDdYchWuVPAIu2EN4wKeW6Aiur2IS2yd+j2G7D4boPoo7Kr8LYhGwh/L+sA1iY9xd3SueR1sOhsNkIYPF8fRHA4imUl8wIYHlJaOqGFBBJAQJYIgnpDTcEsLyhsnh9EMAST0tveCKAJb7KpQCLj2cCWCUqEcDiM1vct6kKYLHVJG2TViFYqcWpxBEVOqIVWLQCq3RCyBVgsfhHX92JDQUXMC60DV4NbeMSwGKF2+9M+R9ssGNb3H3oGZ8A2O0EsHi+mghg8RTKS2YEsLwkNHVDCoikAAEskYT0hhsCWN5QWbw+CGCJp6U3PBHAEl9l9dl/EPrqmAqONceOQFGQD0vrtrAHXD/K3XR3H+S/NI53ELQCi7dUkjDUqpUIDtAgI7dIEvFUBbB+NabgkStb0VUfi1UxfQhgWW2cBlTEveK0lTPA2m1MxfArv3Crrw7VHVahmDvfFVj3pf2Eg0XpeCyoCaZFdEJcVAABLAFvNgJYAsTygikBLC+ITF2QAiIqQABLRDE97YoAlqcVFtc/ASxx9fS0NwJYnla4xD8DWMp8A8xt2lUAWEJ7J4AlVDHf2ssFYM3NPYFp2YfwbHBzvBXekQAWASyHD46cAZYdQKfkNUi25mNZdC/cVa7OGx+AtSb/PMZm7OZOM9wb/wAClRoCWAJfrwSwBArmYXMCWB4WmNyTAiIrQABLZEE96Y4AlifVFd83ASzxNfWkRwJYnlRXfN8EsMTX1JMe5QKwXri6C/8r+BefRnbDkMCGBLAIYNU4gMUG9FnucczIPow+/olYUqdn2RidASxWuL1zyg9gtbTKPyO0AkvY25MAljC9PG1NAMvTCpN/UkBcBQhgiaunR70RwPKovKI7J4AluqQedUgAy6Pyiu6cAJboknrUoVwAFqvrc8aSg61xA9FMG04AiwBWjQRYDEC1TlrFjY1tIywt5u4MYE3J3IelhtPooKuDdbH3lGlDAEvY65MAljC9PG1NAMvTCpN/UkBcBQhgiaunR70RwPKovKI7J4AluqQedUgAy6Pyiu6cAJboknrUoRwAlsVuQ4OL33A6XKz/aIXaQOx7VMSdiriXPiRy3kJYOoan03fg58JLeC2sHcaEtOK+XR3AOm3ORq/Uddxz8Wv8IDTUhBDAcvGtSQDLReE81IwAloeEJbekgIcUIIDlIWE94ZYAlidU9ZxPAlie09YTnglgeUJVz/kkgOU5bT3hWQ4A61hRBu5J28itvGIrsCpfBLAIYNUkgLXDmIKRV7YiQR2IfQlDoKgGYLG6Wf3TNoI9I6NDWuCNsA4VHg9agSXsrUkAS5henrYmgOVphck/KSCuAgSwxNXTo94IYHlUXtGdE8ASXVKPOiSA5VF5RXdOAEt0ST3qUA4Aa0X+WYzP+IOrfcXq+xDAUsJMWwgdPhc1YQUWg1LtklYhvdiIFdG90d0vrsoVWN8ZzmBi5h5uq+HehCHQK1QEsNx4Y9ZUgJV0SYHkJAXqJtqRUJfNMHlcBLDkkSeKkhQoVYAAlozmAgEsGSULAAEseeWLAJa88kUAS175kgPAeiNrP5bkneJOH2SnEBLAIoBV1VNWEwAWG9snOccwK+cI+gfUx8KoHg4BVp7NjNuS14B9ZTbMtvJFK7CEvY9rKsASpoJ0rAlgSScXFAkpwEcBAlh8VJKIDQEsiSSCZxgEsHgKJREzAlgSSQTPMAhg8RRKImZyAFgPXP4Z+0xXsCqmD7rqYwlgqQhg1XSAxVZftU/6HkqFAkcShmHmxCB887UaM2ZZMPJxKzf8CZl7sNxwBrfrY7A6pq9DSQhgCXvREsASppenrQlgeVph8k8KiKsAASxx9fSoNwJYHpVXdOcEsESX1KMOCWB5VF7RnRPAEl1SjzqUA8C6+eK3MNqtOJU4AsFKLQEsAlhVPhM1ZQUWG+CjV7ZhuzEZU8M64OI7bSsArNK6cFqFCjvjB6GeOogAlghvSgJYIogoogsCWCKKSa5IAS8oQADLCyKL1YWYAOtAUTo66uqIFRr5caAAASx5TQsCWPLKFwEseeVL6gAryZqPTslrEKPyx6G6wxyKS0XcqYh76cSoSQDrl8IkPJG+HfU1wej28YMVANbdqevxtzkLr4S2xvjQtlW+dGgFlrD3MQEsYXp52poAlqcVJv+kgLgKEMASV0+PehMDYLFjkF/I2MUV7TxW98Ebjgn36ABqmXMCWPJKOAEseeWLAJa88iV1gLWl8BKeTN+Bnn4J+Ca6V60EWHxmVGJ2Nvq8Md2hqTI3FzENY2HX6ZA/drxjDZMuwX/FNzB36oKMjVsd2lgsZixdMBtKlQpt23fibH7aqMKpv5XoN6AYzZrZkG/Iwz+nTiA6Nh4DH3jYoZ/CQqBRoh80GmDMKxaHNqmpCqz4Vo12HWzYsLmIjwScTU0CWDbYuW2E7PfC3j8OwC/T6nJbCK2DT2Bq1n7EqQPwR/xgsFVYVV0EsHhPHc6QAJYwvTxtTQDL0wqTf1JAXAUIYImrp0e9uQuwZuYcwac5x8piXBbdC3f5JXg05trsnACWvLJPAEte+SKAJa98SR1glRazfimkFSaFtSOAVcX0IoBVIkxNAlhsPKW/H9505mb8N+JuTJ2Th0+6fo8CmwXfRt+NO/3iq33hEMAS9j4mgCVML09bE8DytMLknxQQVwECWOLq6VFvrgKso0UZGJuxG+csuVx87Bhk9klbf/96WFjnTo/GXJudE8CSV/YJYMkrXwSw5JUvqQOsZ6/uxKaCC5gf1QP3Ojhljald07cQ8plR3gRYfOKhFVglKqmUCkSG6HAl28RHthtskq353EmD3NXzSbRbvhuHY87iHv96WMTj90QCWMJkJ4AlTC9PWxPA8rTC5J8UEFcBjwCsA8dO4/GxM7hIWzVtiC9mvIywEMeFH5lNdfYmkxlvzlqCTdv2cf7enfgUBt/TrUyF7FwDnp80G8dPnee+t/TTSejYugn33/9eTMWoiR8h9UpmmX35eFIzjeKq6WFvrgCs97MP4ovck1xkoUod/i/8Vtyqj0bna7+o/JX4EPd9usRXgACW+Jp60iMBLE+qK75vAljia+pJj1IHWF1TfsR/ljzsjh+MBppgh1LUVIClzM5GTKN42PV65I95lRu7UqmAn1aNAlPJ1jvVpYvwX/ktzLd3Q8b6LQ71EXsLIZ/5SACrRCV3ARbz8ciVrfjVmAJsawj0Og+9QoXf4wcjVh3gNBUEsJxKVMGAAJYwvTxtTQDL0wqTf1JAXAVEB1gMGk2e8SWmTXoaDerF4cefdmPf4b/wzvgnodffeKqPM/uPF67mRjzu2aEohVXjRg/lIFUp3OrUrjkHtSr7qvzvytLVZIB1uOgqXry6CxetBm7YAwLqY3p4J4Sr9Ny/h17ejD2my3g7vCOeCW4u7qwib5wCBLDkNREIYMkrXwSw5JUvKQOs7LvvBjuBUKNQ4t96I6usDUkAiwBW6VNX07YQsnFtKryIZ9N/LXuxvB7WHi+GtOT1oiGAxUumMiMCWML08rQ1ASxPK0z+SQFxFRAdYDFgdSH5Mgec2OUMIlVnHxYahMnTF2HCc8M5GMau8kCL+f5w3kpMe/0ZboWXM6BVGwBWod2KGdmHsDjvFDfcKJUfZkR0Rl//xArD/yH/PMZk7EYTbRi2x90n7qwibwSwZDgHCGDJK2kEsOSVLykDrN/vaI/70n5CW10kNsYOqFJYAljeAViOEvDSaC1+XKPCnHlmPDC0mNfkpyLuvGSqYNTw1CqY/IyIKgzF0WaDeDsggMVbKs6QAJYwvTxtTQDL0wqTf1JAXAVEB1jlARMLtfKqqcrhV2cfERpcYTUXa1t+RdeJf/7Fx/NXV9iiWBlwld9CWHk7Y01bgfW7KQ1jr+7G5eJCTuZhgTfjnfBbEaS8ceVbkb0YrZNWwmCz4KfYAWitixR3ZpE3WoElszlAAEteCSOAJa98SRlgLeh8EyZn7sPDQY0xM+J2Alg+3kJIAOsIcnJiMWHqSN4PuRhbCFlnI75IwW/J2XipfQImPRDKu38CWLylIoAlTCqvWBPA8orM1AkpIJoCHgFY9RNiyupU8QFYVdkzgFV+hZUjgLV6w84K2xMrA7HySrF7l9Mzy+ztdtF0rNIR6+Kus+tQZCtGz6AE9AiKw+0BMfBTqgV3rlCUNKkct6HYgnHJf2BxZsmqqwRNIL6u3xN3BlV/asxzl37Dgoy/8VxUc8yt211wPNSgegWqyhfpJlEFFAB7xLzxXpCoAvIKq4bmS9G9G/D777D/tgvodr3eo7yS4yBaieVLce8AYNMm2NdvwOhWQViY8Tc+q9sNL0S1qFrqpCQo6iUCwcGwjxvn2O7cOSi+/Rbo0wf2nzfLI21ZWVBERgB+frC/9lpZzNz7sPRfFy5AsXQpcMcdsP+60/G4cnKgCA8D9HrYJ01ybHPxIhRffcXNbW6O87xGjgS++w5Ytgx45BF+jQoKgKAgQKMBpkxx3CYpCVi8GOjUCdizh59fZvXkkwCTg7V94gl+7YzGYnz44Xuw2xVQKO5w2Kiw0AB//0PIzY3FRx89y8/xNSv2O4e7P7+eew5YsAD44gtg9Gj+3StUSq5z+1tvAaW//JRvnp4OBXPavDnsJ0rqsnryUuh1gNkM+9SpgNrB79sZGVB8/jnQuDHsp//xZCgOfSsmTgBmzYL9g5nAhAm8+w8NBfLyAPZ46UsqglS4cnOBTz4BEhKAS5d4u+Wej+nTgffeAyZP5t+upliarTboNMqaMhwaBylQ4xXgDbAqF1OvrExp8XQprcCqHGPlLYdpWZ4v4v5pznF8kH34honUSR+N2/Ux6OIXi876GF4TjdVUUioUMBhLiqqya4cxBa9e/QNXrq26eiy4CaaGtUeAUuPUJzud8J7UjQhWanEs8UHoFCqnbciAvwL+OjXUKgXyCq/ni39rsvS2An5aFXQaFXIKzN7umvpzQQG9WgU/PxWyDTUrXxH9e0G7bw8yN26FuXMXF5SRZhOtSomgAA0y84okEWD4Q4Oh+2Uzspb/gN4tbThUdBXrYu9BR32dKuNjWwjrtGoMe1Aw8p9/yaGd+t/z8Fu9EkU9eyFr9XpJjNVZEKyIe/TN14q4j71WxF1xrYh7Ubki7iu+hblLN2RWU8Q9ukEs7Dod8l8e77BbVdIl+C//hpvbbI7zvV5kWwhXq/AZ20I4jP8Wwpvr+nEAa8w4xz+HU1MUWPGtGu072LBhC/+5+cqLWqxaocInn5nx4Ah+8RSZivH1oo84gGUp7upw6CZjPoKDSlZgTXxD2AqsiGAd0nNcO4WwNJjXXtXgm6VqzJhlwaNPWPmmB7ER/pxt4UOO6aIyNwf6nzbC2qQprv5xiLdfVw1jYkOhMJthGD8JUN34u60yKxMBi+bD2rARrv55zNVuXG4X/NZkBHw+G3lvv4+Cl17h7eeW+n4wGIAXX7ZA5+D8JUOeAgvnqREbZ8ehE/znwvR3NfhsthqTplow5hX+eecduMQN2d9Xwf7O/26S+DAoPFKg1ijAG2DxVURKNbAqx1wZYHl6CyH7hXhg2iYujA8iOiPbVoRdxlSueHrlq4s+Fl2vwayOOse/QJc/hTDXZsabWfuxJr/k9MVEdSA+jezGnTAo5Loz5X84Y8nB3KjuGBTQQEhTsnWiABVxl9cUoS2E8soXbSGUfr7ybGb8Y8nBWXMO/ivOQ5q9ELNCu3Cnm/n6YgBLv7UEYCXckgmj3Yqz9R6Bv6Lq1dFUA4tqYJXO25pYxJ2NbRIDWF+XAKyRj/MHGXGRJQDL2cUAVvrvngdYsXHXANar1QCsL0sAVvp+7wMsqoHlbKZ49z5tIfSu3tQbKeCuAqIDLGenCjLAxbb9fTHjZa7wujN7d04h3LLzABrdFO+wADwTzpMAy2Azo2fqOqRaCzAquDneDO9YliuTvZiDWLuMKdhtSsNpc3aFPPop1LhNH82tzOqij0FbXRR3vxRgrco4j0mZe5BRXPLpygshLTE5rL1Lc2FR3l94O+sAuvvFYUV0b5d8UCPHChDAktfMIIAlr3wRwJJOvtKsBThnycUZSy7OWnK4/2ZfS39GlY/0meBmeDv8Vp8HXwqwDqz5HrfWz+A+BNqbMKTauAhgEcAigOX4EYkY1A8Km63spurfc1BdToO1wc2wxcSWfd9arz5yPlvg8eefAJYdB4/zX4E1472SFVivTamdK7AIYHn8kaQOSAFRFRAdYLHoDhw7jcfHzuACrVw4vTLAcmZfeeviuxOfKquvxdqW1tg6fqpkJVLpVsbKftm/+/fqVKFelicBFjuKmB1J3EIbji1xA6tNGvslf6cxBduNyWCF2LOuganSRmw74G26OrgzKAH7jVew0XCBu8VOEPw4ootbBdgzi01olbSS8/dnwlDEqwNEnWC12RkBLHllnwCWvPJFAMv7+frXkncNVOVwgOr8NWhVYHO8PStSpUdjTSiaasMQrtbj85wTMNqs2BQ7AG18fHBIKcBasuE7PBWbi37+ifiyTk8CWGOubSFUXttCaCq3hXAlASwCWPzeOyETX0bAkoXI/eATFDw1il8jEa0IYBHAEjKdCGAJUYtsSQHfK+ARgOX7YfGLwFMA6zvDGUzM3MNtRdgaNxD1NcH8ArpmdcKcid3GNOwypWK3MdVh2/GhbfFKaGtBfqsyLoVtE0Lb4mWRfIoSmMydEMCSVwIJYMkrXwSwPJ+vP01XsKHwArdiuPJK4fK9R6n80EgTwoGqmzUhaKwJ4/47pNwJuOwUwq8KT2Fi6l7uw5ftcfd5fgDV9FAKsCZs+RqzIgrA52cqrcAigFXTARarn/TLzyo8+7wVvfvyq+3l6DEjgFX96422EPr09X9D5wSwpJUPioYUcKYAASxnCgm8z+pJ9U3dgCJ7MVeTakhgQ4EebjRndbN2m1Lxe1EaNAolPgzvgls0/I83dhYAW/n16JVtqKsOxD4nWyic+aL71xUggCWv2UAAS175IoDlmXwdLErHxoIL2FBwAZevHQ5S2hMDVaUrqkpAVcnqKnYQiLOLAazgAA06nFoD9iHNpLB2eCmklbNmHrtfCrD6/bYYmwOK8FWdu9Dbv261/RHAIoBV0wGWWA8cASwCWGLNJW/4IYDlDZWpD1JAPAUIYImnJQet+qVu4IrWDg5ogM+iuovo/XoNLE+catcmaRWuFhuxOqYvdzoiXe4rQADLfQ296YEAljfVdr8vAljua1jq4XDR1RJoVXiBq9tYejEwdW9AffT3r4+2ukheoKqqqEoB1u6rl9ErdR1n9kf8YMErlMUadSnASti3ACnqYu7DG/YhTnUXASwCWASw+D2BBLCq10l98T9E5aYjPSIexfEJ/ERlpUNuunYK4dgqTiE0XD+FkGpg8ZaVqzFMpxDy14ssSQFfK0AAS8QMTMrci28M/3C/BP8aPwisGLuYV/lTCMX0y3xNyz6EubkncH9AA3wuMngTO1a5+COAJZdMlcRJAEte+SKA5V6+jhVlYH3hBQ5cJVvzy5yFKXXo65+IAQH10c0vDioo3OvoWutSgJWRW4R3sg5gQd5f3EEla2L6iuJfqBMGsEz7fkPYrx9xP6vP1XvEqQsCWASwnE6SagyKTMVY9uVHsNsVsFi7OrQ0GfMRHHwEOTmxmDB1JO/uVEoFIkN0uJLNv3A3b+cuGBLAql40hQKICfNDWpZRkLqeAliCgqiBxgSwamBSaUg1WgECWCKld4cxGSOvbINaocRPsQPQXBsukufrbjwJsJKs+eiUvAY6hQonEx+q9ihx0QdWQx0SwJJXYglgyStfBLCE54tt3WNbAzcU/IdLlaBVv4B6GOBfH139YkWDVuUjLA+w2Em8d6as5WKYGXE7Hg5qLHwwbrZgAGtPzn+4a95Y3KqPxtqYfk49EsAigOV0khDA4hQggEUAy51nxdttCWB5W3HqjxRwTwECWO7px7VmR4j3TF2HPJsZU8M64LmQFiJ4vdGFJwEW621Q2k84UJSOGRGdMTLoFo+MoTY5JYAlr2wTwJJXvghg8cvX3+YsDlqx1VYXLHlljdhKK09Dq6oAFvv+XtNlDLm8GUFKLXbH3w9WX8ubFwNY86LMGDduCB4PaoL3Izo57Z4AFgEsp5OEABYBLB6ThFZg8RDJiyYEsLwoNnVFCoigAAEsEUQsBT9d9bFYFdNHBI+OXXgaYK3KP4txGX9wx5uzY87pck8BAlju6eft1gSwvK24e/0RwKpev7UF/+LD7CO4aDWUGbKaVgMD6uMe//q4wy/OvQQIbF1+BVZp0zEZu/FD/nn0D6iPhVE9BHp0z5wBrNFd6uDrAZ3wYcTtGMFjFRgBLAJY7sw62kLojnrC2sbGhUJhNsPw6iRApbqhsTIrEwFfzoe1YSOk7z8mzLkI1gSwRBBRRBcEsEQUk1yRAl5QgACWmyLPyjmCT3KOIUKl544F9+SnyJ4GWAV2C9pcWoVCu5Wr4cVOmKLLdQUIYLmunS9aEsDyhequ90kAq3rtbk1ejRRrAUKUWg4Qse2B3oZW5SN0BLCyik3omvIjcm1mLIvuhbv8+Bczdn3mlLRkAKvzE+1wtHEC94EN++DG2UUAiwCWszlS3X0CWO6oJ6wtASw7hBRxF6ZuzbMmgFXzckojqtkKEMByI7+lWyCYi5XRvbmCt568PA2wWOzjM/7AivyzeDa4Od4K7+jJ4dR43wSw5JViAljyyhcBrKrzxbaCs5XBseoAHEwYKonEOgJYLDC2AoutxIpR+WNXwv0IUGi8Ei8DWH7TB3J9na83EnrFjas0KgdCAIsAljuTkwCWO+oJa0sAiwCWkBlDAEuIWmRLCvheAQJYLuaA1bu6I2Ut0ouNGBXcHG96AfZ4A2D9abqC+y//jHCVHkcShnFF6elyTQECWK7p5qtWBLB8pbxr/RLAqlq31zP3YZnhNJ4Mbop3w29zTWCRW1UFsFg3rBYW+0Do0aAmmM6jFpUYoaW88jhuHdsDjcxq7Gzs/ARC1qcqNQXRrRrBrtXB0vFWh2EosrOh+fskinr2Qub368UI1eM+lNnZiGkUD7tej/wxr3L9KZUK+GnVKDBZuH+rLl2E/0oCWO4kgwCWO+oJa0sAiwCWkBlDAEuIWmRLCvheAQJYLuaAnTjITh5kpw3+FDcAange9HgDYDE52GmE7FTCL+v0RD//RBcVomYEsOQ1BwhgyStfBLAc56sYdrS8tILblrchtj/a6aIkkdjqABY7jZCdSshOJ/RWzJtnjsFTw9rhfoMen7cczkujUoDFx5gA1niHMqmSLsF/xTcwd+qCjI1b+UjJ2bw0Wosf16gwZ54ZDwwt5tWusBBolOgHjQYY80oJiKt8paYqsOJbNdp1sGHD5iJefl01IoDlqnLC2xHAIoAlZNYQwBKiFtmSAr5XgACWCzlYajiNKZn74K9QY3v8ICSqA13wIryJtwDW3NwTmJZ9CHf718XSOncJD5RacAoQwJLXRCCAJa98EcBynC/2wQr7gIX9XNqbMEQySa0OYLEg5+WexHvZB9FAE4zd8YM9HveH37yB2d0a4s2MQIzqwE8nhSEPgfM+qxCb34+roT53Bsb7h8LaqHHZPetNDT6KzBcAACAASURBVGAc+pDHxyFGB7QCiwCWGPOovI+QiS8jYMlC5H7wCQqeGiW2e6f+CGARwHI6ScoZEMASohbZkgK+V4AAlsAcsCPJ704t2RYwN6o7BgU0EOjBdXNvAayrxUa0SVrFBXq07oMeLUzvuhrSb0kAS/o5Kh8hASx55YsAluN8lZ7s93Joa0wIbSuZpDoDWCzQPqnrcdKchVdD22BcaBuPxb6p4AImX/gFGQFarEwJRbcug1zuK/yRodBv3oSsb76HqZ88T+8lgEUAy+UHoIqGBLCqV5ROIRR7xrnnjwCWe/pRa1LA2woQwBKguNFu5eDVf5Y8DAlsiE8juwlo7b6ptwAWi/TRK9uw3ZiMyWHt8UJIS/eDr4UeCGDJK+kEsOSVLwJYN+aryF6MppeWg33dk/AA6qmDJJNUPgDrhDkT/VM3QqFQ4Ne4QdxqLDEvtr3yvayDWJj3F+f2leU78HqHh2Dp3c/lbghgXZdOmZuLmIax3DfMXRz/fqTIzYXm5HHaQmjt6nDOmYz5CA4+gpycWEyYOpL3vFQpFYgM0eFKtol3G08aEsAigOXJ+SW2bwJYYitK/kgBzypAAEuAvuMy/sCq/LOoqw7Er/GD4KdQC2jtvqk3AdZPhRfxTPqv3Fj3SWgbivsqes8DASzvaS1GTwSwxFDRez4IYN2o9bqC//D81d/QQhuOLXElJ+xJ5eIDsFis/5d1gANMrHbX+tj+UIg0gMxiE55M34GDRenc9v9555S4/9B/MD4wDNaGjVzuhQDWdenKAyxnglINLAJYzuaIO/dpCyFtIRQyfwhgCVGLbEkB3ytAAItnDn4uvISn03dwp/L9FDuAK97u7cubAMtqt6Ft8vfIKjZhXew96KCr4+3hyr4/AljySiEBLHnliwDWjfl6PH07thYm4Y2wDhgd0kJSCeULsFgh964pPyLNWoD3Izrh8aAmbo+DQSv2gQw7NbihJgRf1enJfRXjIoB1XUVFkQmBn35UQVa/DWuhPvU3TPcOgqVp87J7xQl1UTjiUd4poCLu1UtFK7Aq6kMAiwAW75cLAAJYQtQiW1LA9woQwOKRA3YiX6/Udci3WfBmeEeMCr7+SxiP5qKZeBNgsaDfzjqARXl/4aHARpgV2UW0cdQWRwSw5JVpAljyyhcBrIr5YqcOtkpaiWK7DUfrDkekSi+phPIFWCzo34ypGHHlFwQoNfgtbhBi1QEuj4X9DHsv+xDYhzK9/OtiXtQd3AossS4CWNUrGfbMY/BbuxrZC5fCOHiYy7ITwCKAJWTyEMAigCVkvhDAEqIW2ZICvleAAJaTHFhhwz2pG/GXOQtd9bFYFdPHZ1nzNsA6b8lF95S13C/7JxMfgk6h8tnY5dgxASx5ZY0AlrzyRQCrYr6+M5zBxMw96KyPwZqYvpJLphCAxYJ/8eourC34F3f4xWF5dG/B4ym0W/HC1d/wS2ESVFBgUlh7PO+BVWlsdZEqKwOWpi1gC/f+ymzBwjhoIFYRd0exEMC6rkqRqRjLvvwIdrsCFqqBJcbUrdIHASwCWEImGAEsIWqRLSngewUIYDnJwfvZB/FF7kmEq/TcJ8Hsq68ubwMsNs7+aRtxtCgDn0R2xbDAm301dFn2SwBLXmkjgCWvfBHAqpivIZc3Y6/pMmZG3I6HgxpLLplCAVa2rQidk3+AwWbGgqgeGBBQn/eY2EErI9O3cQeuhCl1WFCnB7roS4qL03WjAqUAC2o1zLd15gxYIX21SgmLtbjk36XF12/vhoz1W3jLSACLAFbBU6N4zxexDAlgEcASMpcIYAlRi2xJAd8rQACrmhz8bkrD8Mslv6itjOnDrcDy5eULgPWN4R9MytyL2/TR+DHG9ZOafKmbr/oWA2BdtBqwIPcvnLZkc6sqlKKVNPaVKtLtlwCWdHPjKDICWNdVySg2oU3SSqgUShyvOxwhSq3kkikUYLEBfJ9/Dq9k/I4olR92x9+PIB7jYiuu2MortgKrlTYCS+r0dGsLouSE9EBAZQCLh28zASweKjk2oRVYLksnuCEBLAJYQiYNASwhapEtKeB7BQhgVZODJXmn8EbWfjwX0gJTwzr4PFu+AFgFdgtaXlopyWPZfZ4QJwG4A7B2GVOxIO8v7DSmlPUyIbQtXg5tLfVhyzY+AljySh0BrOv5Yqf2sdP7+vonYnGdnpJMpCsAiw1k2OUt+MOUhhFBjfFhxO3Vju3trD+xKO9vzubRoCaYHtFJklpILSiFyYjAOR9XCMtv/VqoT/8N48D7YW3SrOxecd1EFD40kvcQaAXWdakIYPGeNm4bEsAigCVkEhHAEqIW2ZICvleAAJaTHPxpuoJb9dG+z9S1UzKUCgXyCi1ejWdMxm78kH8eY0Ja4bWwdl7tW86dCQVYRfZirMo/CwZOz1pyuaHHqwMwwL8+B7PYxU7AbK2LlLMsko2dAJZkU+MwMAJY12W5J20jjhVlCN5q582MuwqwLlnz0Tl5DRfqDzH90MnBz2N2uuCoqzvBfl6za05kNzwQ2NCbw6txfUU8MxK6tT8ge9EyGO8f4vL4CGBdl85iBpYunMl9w2pt5VDTIrMRAf5nkZMTiwlT+YNCOoWwopwEsAhgCXlpEcASohbZkgK+V4AAlu9zwDsCX6zAYsHtMV3G0MubEa3yx8G6Q2kbG8+M8QVY7I+vr/JOgW3XZHVf2NVeF4Vng5vjnoB6nN4f5hzB7JxjqKcOwq/xg6igPs8cCDEjgCVELd/bEsAqyQHbZnx78g/ciX0n6g6X7LvBVYDFxvh57glMzz6ERHUgfou/H9pyB4ocLErHk+k7kFlsQoI6EF/V6YlmWnkWU/f9U3U9AgJY4mejPMBy5p0AljOFqr9fCrCcebE2bIT0/cecmYl+X6EAYsL8kJZlFOS7yU1+MBiAF8daoNPd2NRgUGDhPDVi4whgCRGWAJYQtciWFPC9AgSwfJ8D3hH4CmDZAe4T8CRrPr6Jvhs9/eJ5x1ybDZ0BLHay5bzck9hQeIE74p2dlNUvoB6eD25xwyordhpm39QNOGXOxmNBTTCNtsaIPrUIYIkuqUcdEsAqkXdWzhF8knMMQwIb4tPIbh7V3B3n7gCsYthxd8o6/GPJwYshLfF6WHsuFLYydVr2Ie792cMvHvOi7kAwjzpZ7oyjtrQlgCV+pglgia9pVR4JYBHAEjLbCGAJUYtsSQHfK0AAy/c54B2BrwAWC5Ct/mGrgPoH1MfCqB68Y67Nho4AFvtD7OeCi1ydFrZygF1BSg0eCmyMZ4ObVVts+JwlF71T13P1yNix8ux4ebrEU4AAlnhaesMTAawSldnqK7YK67vouzmII9XLHYDFxnTCnIl+qRu4Famn6z3MFWpnBdvZNS60DV4NbSPVocsyLgJY4qeNAay3J68CW32TUJd9NHjjZTYDVy4rYEcEps3qxTsI2kJYvVQhUyYgYMFc5L43EwWjX+Stq6cMaQWWp5R1zS8BLNd0o1akgK8UIIDlK+Vd6NeXACvVWoCOyau5qP9OHCHJU65ckNSjTcoDLIPNgpX5Z8GKLTMt2cW2u4wKbo4Hg25GgELDKxa21XBq1n7UUflhZ/z9lAdeqvEzIoDFTyepWBHAAo5fgzoRKj13+qCUL3cBFhvb21kHsOhaPUD2b7ba6ouoO3CnhMGdlHNSXWwEsMTPHANY9eP8oFQCr4x3XMuUwatvl6nRqrUNP28vKSnA5yKAVb1KBLD4zKLaa0MAq/bmnkYuTwUIYMkob74EWEymh69s5U7Fezf8NjwZ3FRGyvkmVAawkorz8eHlo1xxdrZyil2svhUDV2w1myvX8Cu/YLcxFf38E/GlRE8cc2Vcvm5DAMvXGRDWPwEscCcPMij+VHBTvBN+mzABvWwtBsAy2q3onrKW+xCguTace/+xulh0ia8AASzxNSWAJb6mfD0SwOKrVO20I4BVO/NOo5avAgSwZJQ7XwOsDQUXMPrqTjTRhmF73H0yUs77oWYVm/Bmzp9Ya/i3rPN7A+pjdHALtHHzFMHLxYXokfI/GGxmruYNq31Dl/sKEMByX0NveiCABbRP+h7sfbApdoDb7xVP504MgMVi/NWYgnUF/2F2ZFdPh1yr/RPAEj/9BLDE15SvRwJYfJWqnXYEsGpn3mnU8lWAAJaMcudrgMUK5bZIWsmBk81x96KlNkJG6nkvVPYH1ssZu5FRbEKwSouHAhrhGSf1rYRG97+Cf/HC1V3wV6i5U7ni1AFCXZB9JQUIYMlrStR2gPWHKQ3DLm/h6uYdTBgq+eSJBbAkP9AaEiABLPETSQBLfE35eiSAxVep2mlHAKt25p1GLV8FCGDJKHe+BlhMKlZ/idVhejyoCd6nk/AqzJ4CuwVvZf6JFflnue+30UdiWd27EGHx88gsY6vh2Kq4droorI/tD4VHeqk9TglgySvXtR1gjc/4g3vXjA1tjYmhbSWfPAJYkk9RhQAJYImfLwJY4mvK1yMBLL5K1U47Ali1M+80avkqQABLRrmTAsA6ac5Cn9T1CFJqcbLucKgVShkp6LlQ2YmCbEVUsjWf04SdiPVadFtoVUrkFjgu1upuNKwwfPeUH5FebMSUsA54PqSFuy5rdXsCWPJKf20GWGw1bLOkFSiwWbAn4QHUUwdJPnkEsCSfIgJYm/kXTXclmwSwXFFNnDYEsMTRsaZ6IYBVUzNL46qpChDAklFmpQCwmFy9UtfhlDkb86LuwMCAm2SkoPihsj8kP8g5jPm5f8EGOxpqQrCozp24RROK8qcQit9zice9pssYcnkzNAolNsfey9Uno8s1BQhguaabr1rVZoC1ufASnkrfgRbacGyJG+irFAjqlwCWILl8bkwrsMRPAQEs8TXl65EAFl+laqddZYCVnWvA5OmLMOG54WhQL+4GUf69mIoP563EtNefQVhIxQ+QDhw7jcfHzuDatGraEF/MePkGm1KHzM+oiR8h9Uom962ln05Cx9ZNamcSaNSkgAAFCGAJEMvXplIBWEvyTuGNrP24wy8Oy6N7+1oWn/V/2pyNFzJ2gX1VQoFnQ5pjUmg7DiaxyxsAi/XDcsFywuAZK65f2r/PhJFpxwSw5JW42gywRl3diY0FF/BGWAeMlsnKSwJY8nq+CGCJny8CWOJrytdjwJfz4bd+LQqeHg3jwPv5NvOYnUIBxIT5IS3LKKiPJjf5wWAAXhxrgU53Y1ODQYGF89SIjbPj4HGTIN+12bgUYJlMZrw5awk2bduHuOgILJj5agWAxcDW85Nm4/ip8w7hFINXH89fXS20KtW51Ne40UM5aMXaTp626IY+a3NeaOykQFUKEMCS0dyQCsBiRdxZMfdiuw2H6g5DtMpfRiq6HypbacVWXM3MOQyL3cYVUF8Y1QNtdVEVnHsLYBXZi3Fnyv9w0WrAs8HN8VZ4R/cHWQs9EMCSV9JrK8BitfZaXloJs70YR+sOR6RKL4vEEcCSRZrKgiSAJX6+CGCJr6lcPRLAklbmxFiB5WzVVuUR//jTbuw7/BfeGf8k9HotSuFZp3bNMfiebtISiKIhBSSmAAEsiSWkunCkArBYjKUFxCeEtsXLoa1lpKJ7obIaV6zWFat5xa4RQY3xf+G3cqcBVr68BbBYv8fNmbg3bRMHFVfH9EVnfYx7A62FrQlgySvptRVgrck/j7EZu7lnfE1MX9kkjQCWbFLFBUoAS/x8EcASX1O5eiSAJa3MiQGwKm8HZCN8akR/jHvW8SnBlQEWs/944WpOmKraSEs1ioYU8J0CtRpgZeZ5tmCn2Gllf2AroEBhkVVs14L9/VqYgqEpW1BPE4RD9aV/hLvgATpo8G3eGUy+ug+FNivqqPwwJ7obegUkVOlar1VBpVSgwOSdfM3KOooZmYe5FWF/1BuMIKVGjGHXGh86jQoatRL5Rs8U3a81QnppoFq1CjqtEobCmpWvkL49od67B3k/b4fl9i43qDk89RdsK0jG7OiueCS4sZfUdr8btUrJbavOLTC774w8eFyB4CcegebHNTB89Q3Mg13/GR/45KPQ/fA98hd/jaIhD7oc9+hnNFjzvRLzFlox9MFiXn4KC4HEWB00GuCV8Y5/DqemKPDtMhU6dLRh8zbPvkvMZiAuSgelEhj/muN4LqcpsGypCq3b2LH9N/7PilKpQEiABtkG/m14ieiiUcCrY6H/cgEKZs2G6ZnRLnqpuc0YwAoL1CHLIOzvkJsSdNwWwrHjrI63EOYB8+aqERdnx/FT0pgLcsgi+/vKX3f9g2hnq6kc1cBiWwBXb9hZtqKqdIvg0Ht7OFxRxXxMnvElpk16umybIgEsOcwWilEKCtRqgFVksUkhB7xjYDCE/dCzFtt5t/GkYbPTK/CvOQ+d/KPxv5vuQahK68nufOb7qtWIZ5N34ue8S1wMA4PrY0HdHghTOShAUC5KX+Sr27m1OFCYjodCG+GrxJ4+00yOHbM/KlQKBSwSeb7kqKE3Y1YqAJVKAYtVGu9DscauufMOKP/4HZYdO2HrWnEbQabVhPi/v+a6utz8CVm9c2tqvsTKu9T8aB4eDuXq1bB8twK2ocNcDk/zyAgov18FyzffwfbgcJf9PPGYAitWKPDVUjseGsHvmS8oACLClBzAem2S4zbJycDSrxS49TZg127P/k7IAFZwoJIDWJOnOI4nLQ1Y/KUC7doBe/bxj0cBcB/AmK3827icDB4N1WNehGr+PFg//QzFzz3Po0XtM9FplBD6d0idSCXy8oAJE+0OARa7N+dTBeLjgfP/SWMuyCWzLB+llxgAi/lytMqqvB7s/hszF1eQ6N2JT9EWQrlMGorTZwrUaoCVmimseKLPsnStYyltIWQhpVkL8MDlzVztJVZAfFV0b8SqA3wtk6j9by1MwisZvyPbVoRgpRbvR3TC4IAGvPrw5hbC0oBYLlg9LFYXa0FUDwwIqM8rVjICaAuhvGZBbdxCuNRwGlMy96GPfyKW1JEXoKYthPJ6vmgLofj5oi2E4msqV4+0hVBamRNrC2HlkwkZoLqQfJnXlkBWA4u1f3hwL4cnH0pLMYqGFPCtAgSwfKu/oN6lBrBY8Dm2Ioy4shXHijK4bXUrY/rgFk2ooHFJ0dhgs3Cn+63OP8eFx+rNzI3qLqhgvS8AFot1meE0Xs/cx20h3BU/mMsLXc4VIIDlXCMpWdRGgHVf2k9c/T05wmkCWFJ6epzHQgDLuUZCLQhgCVWs5toTwJJWbsUAWKVF2GPqRHDAqvIpg862FNL2QWnNCYpG2goQwJJ2fipEJ0WAxQJkq32evboT2wqTEKDUYGmdu3C7TIuIHy3KQIo1H29k/YkrxYXQKVSYHNYeTwc3EzxTfAWwWKAPXfkFu4yp6OYXh5XRvQXHXhsbEMCSV9ZrG8BKtRagY/JqBCo1OF53OPduktNFAEtO2aIi7p7IFgEsT6gqT58EsKSVt1KAVQqhNm3bVxZg/16dbqhrdfzU+bL75Qu1l0Kq0vvltwM6AlgMWi1evonzRVsHpTUnKBppK0AAS9r5kQXAKg1yQuYeLDec4f75WVR33lvtfJWCU+ZsHDVn4ERRJveVrSIrf7XVReHzyG6orwl2KURfAqz0YiPuSFmLPJsZ74bfhieDm7o0htrUiACWvLJd2wDW3NwTmJZ9CEMDb8bsyK7yShYAAljyShmtwBI/XwSwxNdUrh4JYEkrc5VXYEkrOoqGFCAFKitAAEtGc0KqK7DKS/hB9mHMyT3OfWtKWAc8H9JCEgr/a8krg1WHi67ipDkTJvuNJxlFqvRorY3kVi4948Kqq/KD9SXAYnH8XHgJT6fv4EL6Lf5+3KwJkUQupBoEASypZsZxXDUVYFWVhR4pa3HWkovl0b1xh1+cvJJFAEt2+SKAJX7KCGCJr6lcPRLAklbmCGBJKx8UDSngTAECWM4UktB9OQAsJtfK/LOYkLEHNtjxaFATTIvoBHZCjrcuVlz+qDmTW1FVurKKrUSqfIUotWiti+SAFfvaRhshahF6XwMsNt4xGbvxQ/55NNGGYUvcvVDj+ikr3sqHXPohgCWXTJXEWZsA1mlzNu5KXQcG2A/XfRAqr75RxZkXtAJLHB295YUAlvhKE8ASX1O5eiSAJa3MEcCSVj4oGlLAmQIEsJwpJKH7cgFYTDJ2et/j6ds59fr5J+JLD5+YddKchUV5f2GHMQVZxaYbsuanUKOlLgJttZFgWwNbaMNxk4tbA/lOCSkALFaMvmfq/8Dq54wJaYXXwtrxDb/W2RHAklfKaxPAKl3Zymrx/V/4rfJK1LVoCWDJK20EsMTPFwEs8TWVq0cCWNLKHAEsaeWDoiEFnClAAMuZQhK6LyeAxWRjp2WNvLKNq8PUUVcHy6J7IVipFVXRzYWXsDDvL+w3Xangl0GqtrpIDlS10kaiqTZM1H75OJMCwGJx7jVdxpDLm7mQ18f2R3tdFJ/wa50NASx5pbw2AaxOyWuQZM3HptgBaKOLlFeiCGDJMl8EsMRPGwEs8TWVq0cCWNLKHAEsaeWDoiEFnClAAMuZQhK6LzeAxaQ7Z8nF8Cu/gG3ra6QJ4eq3xKkD3FK1wG7B94ZzWJT3Ny5aDZwv5vPZ4Oa4VVeH2w4ohUsqAItp8XbWAW6FGgN562LvQYBCIwWJJBUDASxJpcNpMLUFYB0quoqBaZtQTx2EPQkPONVFqga0AkuqmXEcFwEs8fNVmwCWftsWaA4fhOnuvrC0bS++mDL3SABLWgkkgCWtfFA0pIAzBQhgOVNIQvflCLCYfOxEvIeu/AJWx6WOyg8rontzNZmEXmwbHFttxWpssa1x7GJA5sWQlhgU0ECoO4/bSwlgFdmL0Tt1PQcUe/nXxdd17vL4+OXWAQEseWWstgCsqVn78VXeKbwc2hoTQtvKK0nloiWAJa/UEcASP1+1CWCJr17N8kgAS1r5JIAlrXxQNKSAMwUIYDlTSEL35QqwmIQGmxkPX9kKtpogUKnB0jp3obM+hpe67NRABq5+KriIYti5Nt394vBccAvuq1QvKQEsptElaz76pq5Hrs2M50JaYGpYB6lK55O4CGD5RHaXO60NAIu971peWsE9s2z1FVuFJdeLAJa8MleTABYf5dt1sGHD5iI+pi7bEMByWboa15AAlrRSSgBLWvmgaEgBZwoQwHKmkITuyxlgMRnN9mKMvvobthReglqhxNzI7hgQUN+hwuwPNwasGLhiAItdrM1A//p4IaSlSyu4vJ1KqQEsNv4DRel4IO1nDgTOieyGBwIbelsWyfZHAEuyqXEYWG0AWL8aU/DIla1oqY3A5rh75ZWgStESwJJX+ghgiZ8vAljiaypXjwSwpJU5AljSygdFQwo4U4AAljOFJHRf7gCLScnWT03O3IdlhtPcQfCvh7XngFTpxVZqfWc4gyWGU0ixFnDfDlBqMCKwMUYFN0Osm/WzvJlOKQIsNv7lhjOYkLmHA4LrYu6RbVFosXNJAEtsRT3rrzYArLEZu7Em/zzeDO+IUcHNPSuoh70TwPKwwCK7J4AlsqAACGCJr6lcPRLAklbmCGBJKx8UDSngTAECWM4UktD9mgCwSuX8LPc4ZmQf5v75aFATjA5pji/z/saq/HMouFbfitXLeiq4GR4LaoIgpfyKjksVYDHNp2Tuw1LDaUSo9Ngce6/bhfUl9Ji4HAoBLJel80nDmg6wWN26lkkrUWiz4Gjd4YhU6X2is1idEsASS0nv+KkJAMuRUmOf12LN9yp8OteMIQ8We0fMa70QwPKq3JLujACWtNJDAEta+aBoSAFnChDAcqaQhO7XJIDFZGUrC9gKg8rXzZoQrkbT8MBGElJfeChSBlhsNOx0yN3GVK4Q/vrY/vBXqIUPsga1IIAlr2TWdIC1qeACnr26E130sfg+po+8kuMgWgJY8kohASzx80UAS3xN5eqRAJa0MkcAS1r5oGhIAWcKEMByppCE7tc0gMWk3WlMwTPpv6LQbsVt+miMDm6B3v51JaS666FIHWDl2czol7YRFyx56OefiC/r9HR9sDWgJQEseSWxpgOsp9N34OfCS/gosovsYT6bWQSw5PV8EcASP18EsMTXVK4eCWBJK3MEsKSVD4qGFHCmAAEsZwpJ6H5NBFhM3qNFGZzKbXSRElLb/VCkDrDYCP+z5KFv2gbk2ywYE9IKr4W1c3/gMvVAAEteiavJAIvB5aaXlnMJOZ04AkFKrbyS4yBaAljySiEBLPHzRQBLfE3l6pEAlrQyRwBLWvmgaEgBZwoQwHKmkITu11SAJSGJRQ1FDgCLDXiP6TIevLwFNtixIKpHlSdDiiqOBJ0RwJJgUqoJqSYDrBX5ZzE+4w/09U/E4hqyMpIAlryeLwJY4ueLAJb4msrVIwEsaWWOAJa08kHRkALOFCCA5UwhCd0ngCWhZPAIRS4Aiw2FFdB/K+tPaBUqrI3pV+NWw/FIFwhg8VFJOjY1GWANu7wFf5jSahRQJoAlnWeHTyQEsPioJMyGAJYwvWqyNQEsaWWXAJa08kHRkALOFCCA5UwhCd0ngCWhZPAIRU4Aiw1nTMZu/JB/njuZcFvcfWCnQNamiwCWvLJdUwFWRrEJbZJWwl+pwYm6w6FTqOSVmCqiJYAlrzQSwBI/XwSwxNdUrh4JYEkrcwSwpJUPioYUcKYAASxnCknoPgEsCSWDRyhyA1hsSEMub8Ze02XuZMKNsQOgryF/PPNIF63A4iOShGxqKsAqXQ05LPBmfBLZVUKKuxcKASz39PN2awJY4itOAEt8TeXqkQCWtDJHAEta+aBoSAFnChDAcqaQhO4TwJJQMniEIkeAlWMrQr/UDbhkzcc9/vWwqM6dPEZaM0xoBZa88lgTARbbNvjolW0w2YuxMro3uvnFySsp1URLAEteqRQLYAV9NAO6336FYcLrKOrWw2URXhqtxY9rVJgzz4wHhha77Gfs81qs+V6FT+eaMeRB1/24EgABf4ZmYwAAIABJREFULFdUq5ltCGBJK68EsKSVD4qGFHCmAAEsZwpJ6D4BLAklg0cocgRYbFhnLDkYkLYJBTYLXgltjfGhbXmMVv4mBLDklcOaBrDYyscRV7bCbC/GkMCGmB3ZDQp5paTaaAlgySuZYgEssUZ99owCGVcVuLmxHVFRdrHcetUPASyvyi3pzghgSSs9BLCklQ+KhhRwpgABLGcKSeg+ASwJJYNHKHIFWGxoO40pGHllW606mZAAFo9JLSGTmgSwdhlT8Vj6dg5ePRzUGB9E3F6j4BWbNgSwJPTw8AhFagCLR8iSNyGAJfkUeS1AAlhek5pXRwSweMlERqSAZBQggCWZVDgPhACWc42kZCFngMV0nJd7Eu9lH+ROJtwY2x/NteFSklf0WAhgiS6pRx3WFIDF4NXI9G2w2m0cvJoZcbtHdfOVcwJYvlLetX4JYLmmW3WtCGCJr6lcPRLAklbmCGBJKx8UDSngTAECWM4UktB9AlgSSgaPUOQOsNgQS08mZCcSbokbWKNPJiSAxWNSS8ikJgCs2gKv2LQhgCWhh4dHKASweIjkgkl8ZMnpvsOGWx22zs5SYOsvKrRqbcPP24t496BSKhAZosOVbBPvNmToOwUIYPlOe0c9/397ZwImVXWu67+7abqZ5xkUwZzAMU4YAiYhkjhExVkIxmMSFaeYm2jQGMK9MV7NRZIYozmJ85CcJE7gyKBxjkNEjRBFokYhiNDMND0ATY/3WVur0xTdvVZVrVr17+q3nsdHYK29/n+/X1XT/bL32ggsXXnQDQRsBBBYNkKKxhFYisJwaCUfBJa5KuTkDYvl77u3RFdgmSuxzBVZ+fhCYMUr1bgLrGd2rZVzNz0bXXl1Ts+x8tO+E+IVQIrdIrBSBJbj6Qis7ASQEFi21RFYNkLxHkdg6coPgaUrD7qBgI0AAstGSNE4AktRGA6t5IPAMqe5taFGjl2/QMrqd8gJ3UbKrQPSf5KUA7acTUFg5Qx9WoXjLLA6mrwyASOw0nqb5+wgBFZ20COwssM1bqsisHQlhsDSlQfdQMBGAIFlI6RoHIGlKAyHVvJFYJlTNU8mPK5sgdQ0NcgVvQ+VS3of7EAgXlMQWPHKK64CqyPKKwRWvD5bplsEVnYym3pSyR4Lr/ygQDZtKpDR+zfJwIH/frri6P0b5WfX1zk3wS2EzqhUTERgqYihuQkElq486AYCNgIILBshReMILEVhOLSSTwLLnO6TOz+Sczc9E535XQOPlGO6jnCgEJ8pCKz4ZGU6jaPAenznGrlo8/PRbYMX9fqM/LjPZ+MFPYNuuQIrA3g5OBSBFQb6ZZd0lvv+VCTX3VArXz+rIe2iCKy00eXkQARWTrC3WRSBpSsPuoGAjQACy0ZI0TgCS1EYDq3km8Ayp/zrirfkZ+VLpUtBJ3lx2KkypFM3BxLxmILAikdOiS7jJrAW7lgtF25+Pmr/u70Okll9xsULeIbdIrAyBBj4cARWGOAIrDCctVVBYOlKBIGlKw+6gYCNAALLRkjROAJLURgOreSjwDKnPX3Dn+WlmvUytftoubH/JAcS8ZiCwIpHTnEUWI/t+Jd8e/Nfota/1+sg+WEHk1fmvBFY8fp8IbDC5IXACsNZWxUElq5EEFi68qAbCNgIILBshBSNI7AUheHQSr4KrLdrt8lXyx6LCDwx9EQ5sHM/Bxr6pyCw9GfUssO4XIH16I5/yXc3vyAN0tThbhtsmRcCK16fLwRWmLwQWGE4a6uCwNKVCAJLVx50AwEbAQSWjZCicQSWojAcWslXgWVO/ZItL8r86pVyWMkAeWzIFAca+qcgsPRnFDeBZeTVdzb/RczWzJf3PlS+n4cPP3B91yCwXEnpmIfACpMDAisMZ21VEFi6EkFg6cqDbiBgI4DAshFSNI7AUhSGQyv5LLA2NuyUiWsflNqmBrk7TzZ0R2A5vKkVTdF+BVZLeWU2azebtnfkFwIrXukjsMLkhcAKw1lbFQSWrkQQWLryoBsI2AggsGyEFI0jsBSF4dBKPgssc/rXbV8mv9r+puxX3FP+MuxUKZICByp6pyCw9GbTWmeaBZa5OvHSLS9GV14hrz5OD4EVr88XAitMXgisMJy1VUFg6UoEgaUrD7qBgI0AAstGSNE4AktRGA6t5LvA2tVULxPWzpetDTUyp99E+VaPMQ5U9E5BYOnNJk4CC3nV+vsIgRWvzxcCK0xeCKwwnLVVQWDpSgSBpSsPuoGAjQACy0ZI0TgCS1EYDq3ku8AyCO6vfl9mbnlZeheWyN9GTJMuBZ0cyOicgsDSmUtbXWm8AqulvPpp3wlyTs+x8YKaxW4RWFmEm4WlEVhZgNrKkgisMJy1VUFg6UoEgaUrD7qBgI0AAstGSNE4AktRGA6tdASBZTCYJxKaJxN+t9dBMqvPOAcyOqcgsHTmEheB9UD1B/L9LS9F7V7Vd7yc3/OAeAHNcrcIrCwD9rw8Assz0DaWQ2CF4aytCgJLVyIILF150A0EbAQQWDZCisYRWIrCcGilowisJTUb5fQNj0dE3hjxNRlc1NWBjr4pCCx9mbTXkbYrsMavnSdl9Tvk6r4TZAZXXu0VHQIrXp8vBFaYvBBYYThrq4LA0pUIAktXHnQDARsBBJaNkKJxBJaiMBxa6SgCy6A4Z9Mz8uTOj+T07qPl1/0nOdDRNwWBpS+TuAisN3dvkePXL5Q+hSXy5j5nxP6BBtl4JyCwskE1e2sisLLHtuXKCKwwnLVVQWDpSgSBpSsPuoGAjQACy0ZI0TgCS1EYDq10JIG1uq5SvrTuYWmQJnli6IlyYOd+DoR0TUFg6crD1o2mK7Dmli+V/654S6Z3/5Rc3/8LttY75DgCK16xI7DC5IXACsNZWxUElq5EEFi68qAbCNgIILBshBSNI7AUheHQSkcSWAbHldtelTsr35HDSgbIY0OmOBDSNQWBpSsPWzeaBJaRtyvrKuT3A4+Uo7qOsLXeIccRWPGKHYEVJi8EVhjO2qogsHQlgsDSlQfdQMBGAIFlI6RoHIGlKAyHVjqawKporJXPrZ0n1Y11sfxB3pfAere2XF6oKZML2MTb4VOS/hQtAuuDugo5Yt3D0q2wWP65z3+lf0J5fiQCK14BI7DC5IXACsNZWxUElq5EEFi68qAbCNgIILBshBSNI7AUheHQSkcTWAbJ7ZX/kKu2vSajinvKi8NOc6CkZ4oPgfWbiuVybfkb0UndNvDLMqXrvnpOMM860SKwfl3xlvysfKmc1G0/uXnAEXlG2d/pILD8sQyxEgIrBGURBFYYztqqILB0JYLA0pUH3UDARgCBZSOkaByBpSgMh1Y6osAyWD6/9kH5sL5K5vY7XL7R49MOpHRMyURgfVRfLd/b8qK8VrOx+WS6FnSK9gMbXdxLxwnmWRdaBNaU9Qvl77u3yC0DJsuJ3UbmGWV/p4PA8scyxEoIrBCUEVhhKOurgsDSlQkCS1cedAMBGwEElo2QonEElqIwHFrpqALrzzvXyLmbnpX+RaWyZPhU6VLQyYFW7qekK7DurX4/uurM3DrZvbBYftJnfHQL4YIdq2X/4l6RxIoLg9yn4N6BBoG1rn5HdNusef1z3/+SbgXF7ifQwWYisOIVOAIrTF5cgRWGs7YqCCxdiSCwdOVBNxCwEUBg2QgpGkdgKQrDoZWOKrAMmhPXL5KluzfLd3sdJLP6jHOglfspqQqsLQ01cvnWl+WpnR9FzU8sHSS/HXCEDC7qKrua6uXYsgVi9kea0m2k3DZgcu5PMM860CCwErfMmo3bzQbuvNomgMCK17sDgRUmLwRWGM7aqiCwdCWCwNKVB91AwEYAgWUjpGgcgaUoDIdWOrLAert2m3y17DEpKSiSV4afLoOKujoQy+2UVASWkVbf3/KSlDfuls4FRZGkM5u2F7Q4BXMb5dFlj8mOxjr5Sd/xbOruOV4NAuv0DY/LkpqNcn3/L8j07p/yfIb5tRwCK155IrDC5IXACsNZWxUElq5EEFi68qAbCNgIILBshBSNI7AUheHQSkcWWAbPJVtelPnVK2Vq99FyY/9JDsRyO8VFYO1oqpMfb31N7q9+P2p2TOc+0d5Hn2pjn6tndq2Vb258WjoVFMpDg4+Tw0oG5PYk86h6rgWWkZcHrrlXCqVA3tznDOlTWJJHdP2fCgLLP9NsrojAyibdf6+NwArDWVsVBJauRBBYuvKgGwjYCAQXWDU1tXLldXfJoqeXRL1dc8UMOe34tn+4tc0vr6iSi2fdIG+9szJa73c3zpLxB4/Z47xXfVgmv7j5Ppnzo/OlT68ezWNlW3fZ+KgaR2CpisPaTEcXWBsbdsrEtQ9KbVODPDvsFPl0cW8rs1xOsAmsv+3eJN/Z/IKsra+OpMWFvQ6QWb3HRXKqvZd5Qp15Ut2Aoi7y1NCTov/zypxArgXWn6r+KVds/at8vnSwzBt8bOYnlOcrILDiFTACK0xeCKwwnLVVQWDpSgSBpSsPuoGAjUBwgXX9bR9veDvzgmmSkE8zL5q2l3RKNN7e/ITcmjjugEiCGVE1e+4dMmfWeTJq36HN6xu5ddDY0XLT3EsRWLZ3BOPeCHR0gWVAXrd9mfxq+5tyeOlgma/8h/y2BFZdU6PM3b5UbqtYIY3SFO1xZfa6MnteubzMMdM2PBHdamauwHpoyHHSSdqXXi7rdvQ5uRZY39j4lDy7a538tO8EOafn2I4eh/X8EVhWRKomILDCxIHACsNZWxUElq5EEFi68qAbCNgIBBVYRljNvvZ2+cG3z4gEk3m1FFTJzdrmJ19ZlSy0EutxBZbtbcB4NgggsCTazHzC2vmytaEm2uTabHat9dWawHq3tlwu2vy8vF9XEbVtbof8ad+J0qMwtafNbW/cLV9Z96iYq9LO7/mfclXfz2nFEJu+cimwqhrr5MCP7hUjN5eNmC4DuarO+r5BYFkRqZqAwAoTBwIrDGdtVRBYuhJBYOnKg24gYCMQVGAlXyFlmnto8YuyZOkKufryc6W0tPMe/drmL39vlVx/y7w9rqxqTYi1JbDWb4vXLYRGiBQWFEjVrjpbrowrINC1pJN0KiqQyp0dO6/7q96X7295WfYr7ikvDD9VivbY6lxBUJ+00KVzkZQUF8n2HbXRlVY3bX9bfrF9WSQpehZ2jjbqPr7bvmk3vLx2q5xYtji6pfK2gZPlhG4j016LA0VKOxVJly5FUl5VGxzHI9Wr5OLNL8i4kgGycOiU4PXjWLBzUaH06FYsWyt3x7H9Dtdz3/O+ISUPPyjb7/gf2XXq1A53/qFOeOb3Ost9fyqSX95YK18/qyHtskWFBdKvZ4ls2l6T9hocGI6AEViDeneRDeWp/Rzy6ZFdpKpK5H9dWiclrWy7WFVZILfd3EmGDG2SN5bzXnBN1Px81bNrav8w6bo28yAAAf8Eggus5L2obAKrvflGYM1b8Pwe8isVgdXU5B9oNlc0f+GZV9z6ziYTzWuT1yfvVxE58B/3yT9qyuW3I74k3x5wgM7YCiRSaytrKuWbq5+Rv+7YEPV5ZI/h8oeRR8rg4syfpHjPtvflrNVPS9fCTvL6mKkytrSPThZx6OqTvHLx9fBrq56U+dtXytxhE+WKQYfGgVbue8xhXrk/+fh1UHDGdJEHHpCme+8TmT49ficQk47PO0/krrtEbr9dZMaMzJo233Pk4uthZl133KPTyat3b5HKSpFZs0RKS/dmV1Eh8qtfiQwfLrJmTcdlm+qZ19Y3SkkxWzukyo35EMgVAW8C6/U335WzL5nb6nlMOWpiJJnKNm7ZY48qM9kmsFruaZU8P9MrsNjEPVdvu45Rl1sI/53zKzUbZOqGJ6R/UaksGT5VuhR08vYmeGzHv2R1fVW0pvnPyKHo/9Hvi6RrYfHH/ze/L+wkvdt4Wpy5hfCPVe/JFetfkZqmj/8l/Jq+E+Rcz/sbmY2/zQbgo4t7yeNDT5BuBfyrXzpvhlzeQvipD/8oO5vq5a/DT5d9O/37wSDpnEdHOYZbCOOVNLcQhsmLWwjDcNZWhVsIdSXCLYS68qAbCNgIeBNYtkJm3LanVfIatvnsgeVCnTm5IoDA2pP8eZuelcd3rpFLeh8sV/TO7KqVZbs3ywPVK+WRHauksjG9W8i6FxZ/Irk+Flv10igf1H6819XBJf3lv/tPiiRTNl7HlS2Qt2q3ypRuI+W2AZOzUSLv18yVwHpy50dyzqZnZEznPvLM0JPznrOvE0Rg+SIZZh0EVhjOCKwwnLVVQWDpSgSBpSsPuoGAjUBQgWWasT2F0Ixv2LS1+bbATJ5CmDh5NnG3vQ0YzwYBBNaeVFfXVcoX1j0kJQVF0ZUr5ml+qbw2NOyUB6o/kAerV8oHn2yqbo4fWdxThrSxltnLakdjnexqaoiumNnVWC9mQ/X2Xt/rdZD8sM+4VFpLeW5Z/Q45uuyxqJer+o6X83sqva0y5TMLd0CuBNbMLS/L/dXvy2W9D5GZvQ8Jd8Ixr4TAileACKwweSGwwnDWVgWBpSsRBJauPOgGAjYCwQVW4kmBi55eEvV2zRUz5LTjJzX3mSywbPPNVVoXz7pB3npnZbTG726cJeMPHhP9OnnM/NmMM6fIzAumRePcQmh7ezCeCQEE1t70rtr2mtxe+Q+Z1n1/uaH/F614dzc1iLlFcH71SnmpZn3z/D6FJXJa91FyardRcmjJAOs6rU2ojsRWfbPYaixukv6dS2VgXWpiLa3iItH5TN/w5+jwBwcfJxNLB6W7VIc8LlcC64A190bi8emhJ8vYzuxh5vrmQ2C5ktIxD4EVJgcEVhjO2qogsHQlgsDSlQfdQMBGILjAsjUUchyBFZJ2x6uFwNo784rGWpmwdp5UNdbJs8NOkU8X995rknm2wqs1G2Ve9QeycOdqMaLJvMy+Vsd23UdO6z5ajugy1PvTDM0eWEaKlFend0tiOu/wX1e8JT8rXyoDirrIU0NPiv7Py41ALgRWQjoO79RdXh3Ok9nckvp4FgIrFVq5n4vACpMBAisMZ21V0hZYo0rFPGlw2PAmSTwoqOW5NTSIrC/7ePy1v/MUQtfcEViupJgHAR0EEFg6cnDqwnyBLSwokMqdH/9Az0s3AQRW6/ncXrlCrtr2uhxeOljmDz62edLa+mq5v/oDmV/9gaypr47+vEgKZFKXodGVVsd32zfasypbr1wILHMu39z4tDyza60cVjJAHhpynHQSnoTjknEuBNbsrUvk91XvykW9PiM/7vNZlzaZ8wkBBFa83goIrDB5IbDCcNZWJVOBZTsfBJaN0J7jCKzUeDEbArkmgMDKdQIp1EdgpQBLwVQEVtshfH7tg/JhfZXcMmCyVDfVRVdbmauuEq+DOveTU7uPklO6jZKBga5KypXAMlejHbt+gZg9wsxeWGZPLF52ArkQWOM+ekA2NuyUBUOmyLg0b121n1l+zkBgxStXBFaYvBBYYThrq4LA0pUIAktXHnQDARsBBJaNkKJxBJaiMBxaQWC1DenPO9fIuZue3WPCiE7doyutpnYfnbWn/7UXW64Elunpn3Xb5fiyhdGeXLcOmCwndBvp8A7r2FNCCyzz5MsT1i+KhOqyEdM7Nvw0zh6BlQa0HB6CwAoDH4EVhrO2KukKrNeWFIq5TdD2KikRGffZRts0xj8hgMDirQCBeBFAYMUoLwRWjMISEQRW+3lN3fCErKjdJid3209O6zZKPpfjTcxzKbAMqYU7VsuFm5+PbpN8fOiJsn9xr3i94QN3G1pgzSl/Q35bsVy+1WOMzOk3MfDZxr8cAiteGSKwwuSFwArDWVuVdAWWtvPIl34QWPmSJOfRUQggsGKUNAIrRmEhsKxhbWmokf5FpdZ5oSbkWmCZ80w8pXF0cS95fOgJ0q2gONTpx65OaIGVuO31/sFflS+WDokdr1w3jMDKdQKp1e+28BHpseo92XLMSVI/ZmxqBzPbmQACyxlVXk1EYOmKE4GlKw+6gYCNAALLRkjROAJLURgOrXAFlgMkRVM0CKwGaZJT1i+Wpbs3y9FdR8jvBh6piJCuVkIKrHdry+XIskelR2GxrNjnTO9PwNRFNjvdILCywzVbq3YqKpC+PUpk03aeZJYtxmZdBFY26epdG4GlKxsElq486AYCNgIILBshReMILEVhOLSCwHKApGiKBoFlcJgr044seyT6/5V9x8uFPQ9QRElPKyEF1vXb/y6/3P53mdZ9f7mh/xf1QIhRJwisGIUlIgisMHkhsMJw1lYFgaUrEQSWrjzoBgI2AggsGyFF4wgsRWE4tILAcoCkaIoWgWWQvL57U3Qllnm9POw0GVncUxEpHa2EFFjHlD0W7dd298Aj5ZiuI3QAiFkXCKx4BYbACpMXAisMZ21VEFi6EkFg6cqDbiBgI4DAshFSNI7AUhSGQysILAdIiqZoElgGy0+2vSZ3VP5DvtPrQJnd5zBFpHS0EkpgramvlsPXzo82139/37N0nHwMu0BgxSs0BFaYvBBYYThrq4LA0pUIAktXHnQDARsBBJaNkKJxBJaiMBxaQWA5QFI0RZvAWlVXKZPWPSR9i0pl2fCvSaeCQkW0ct9KKIF1a+UKuXrb6zKl20i5bcDk3J94TDtAYMUrOARWmLwQWGE4a6uCwNKVSLLAKq+oktnX3i4/+PYZMmrfoXs1u+rDMvnFzffJnB+dL3169dhj/PU335WzL5kb/dlBY0fLTXMv3WtO4gCzzoVX/FLKNm6N/uiaK2bIacdP0gWHbiCgkAACS2EobbWEwIpRWDyFMF5hiYg2gWUAnrR+kbyxe7PcOmCynNBtZOyYZrPhUALr5PWL5W+7N8lvB3xJTuk2KpunlNdrI7DiFS8CK0xeCKwwnLVVQWDpSiQhsGpqauXK6+6SRU8vkaGD+smtP79sD4FlxNbFs26Qt95Z2aqcMvLq+lvmtSutEmeeWGvmRdNk/MFjJPn3ugjRDQR0EUBg6cqj3W4QWDEKC4EVr7CUCqz7q9+XmVteli91GSr3Djomdkyz2XAIgVXeuFsOXHNvdPXb8hFfj55CyCs9Agis9Ljl6igEVhjyCKwwnLVVQWDpSsTHFVi2q7aSz9hcfTV77h0yZ9Z5kSRLyLOJ4w7gKixdbw+6UUgAgaUwlLZaQmDFKCwEVrzCUiqwapsa5IA198qupnpZMnyqDO/UPXZcs9VwCIH1h6r3ZNbWV+QrXYbLHwYdla1T6RDrIrDiFTMCK0xeCKwwnLVVQWDpSsSHwEq+HdCc4Ywzp8jMC6a1ebLX3zZPHn9mSXSll3m1dVuiLlp0A4HcE+jQAiv3+OkAAhCAQPsELl7zgty8eYX8aPA4mTNsArgCEjjm/QXyVOVauX3fyXJe/7EBK1MKAhDoCARmzBC56y6RO+4QMb/mBQEIhCewu65RSor/vc+o7Wqq1vbAMrcPzlvwvFx9+blSWtq5+ZbAaSdObvOKKnPML295QLZuq4j2wWIPrPDZUzGeBDq0wCrbuitWqXEFVqziEjZxj1deGvfAMgTfrS2XI8sejTZzf3PEdCmUgniBzVK32b4Cq6qxTg5Yc480SpMs3+fr0qewJEtn0jGW5QqseOXMFVhh8uIKrDCctVXhCixdifi4AitZYJkzfGjxi7Jk6YpmqdXyrJMlWGIPrPaEly5qdAOB3BFAYOWOfcqVEVgpI8vpAQisnOJPubhWgWVO5LiyBfJW7Va5Y+BX5Liu+6R8bvl4QLYF1vzqlXLJlhfl8NLBMn/wsfmIMOg5IbCC4s64GAIrY4ROCyCwnDDl3SQElq5IfQis1q7KMgJr9doNrd5G2JrwMrcUmld7tx3qIkc3EMgNAQRWbrinVRWBlRa2nB2EwMoZ+rQKaxZYf6x6T3649RX5cpdh8sdBR6d1fvl2ULYF1oxNz8oTO9fI1X0nyIye3D6Y6fsHgZUpwbDHI7DC8EZgheGsrQoCS1ciPgRWYhP2wQP7RQKqracMJq6wSuyZNWf2+Xs8hZArsHS9N+hGJwEEls5cWu0KgRWjsNjEPV5hKd3EPQFxZ1O9HLzmvmgz96UjpsvAoi6x4+u74WwKrJqmBhmz5k9S19Qoy+DtJToElheMwRZBYIVBjcAKw1lbFQSWrkQSAishoRY9vaS5wSlHTdxrX6u33lnZPN5yo/aEtEqMt9zTqrVbBM1VWGdfMrd5LfbA0vW+oBu9BBBYerPZqzMEVozCQmDFKyzlAsvAvGzLy3Jf9ftyae+D5Qe9D40dX98NZ1NgLd75oZy/6Tk5pKS/LBpygu/WO+R6CKx4xY7ACpMXAisMZ21VEFi6Ekm+AktXd3QDAQgkE0Bgxeg9gcCKUVgIrHiFFQOBtXT3Zjlx/aLo6qs3Rnytw2/mnk2B9d3NL8hDO1bJrD7j5Lu9Dorde1ljwwgsjam03RMCK0xeCKwwnLVVQWDpSgSBpSsPuoGAjQACy0ZI0TgCS1EYDq2wB5YDJEVTNO+BlcA0ad1DsqquUn438Eg5uusIRfTCt5ItgdUgTdHTB81TCF8YdqqMLu4V/uTysCICK16hIrDC5IXACsNZWxUElq5EEFi68qAbCNgIILBshBSNI7AUheHQCgLLAZKiKXEQWHdWviNXbntVjuo6Qn4/8EhF9MK3ki2B9fyudfJfG5+S/yjuLc8NOyX8ieVpRQRWvIJFYIXJC4EVhrO2KggsXYkgsHTlQTcQsBFAYNkIKRpHYCkKw6EVBJYDJEVT4iCwKhtrZeyaeyJq5jbCwUVdFRF0a2VtfbW8U1ue8RVk2RJYs7a+In+oeo+9xtzidJ6FwHJGpWIiAitMDAisMJy1VUFg6UoEgaUrD7qBgI0AAstGSNE4AktRGA6tILAcICmaEgeBZXB9b8uL8mD1Srm896Hy/d4HKyLo1sqZG5+UV2s2Rpujj+ncx+2gVmZlQ2A1iciBa+6V8sbd8uehJ8lnOvdNuz8O3JMAAite7wgEVpi8EFiTDVGqAAAgAElEQVRhOGurgsDSlQgCS1cedAMBGwEElo2QonEElqIwHFpBYDlAUjQlLgJrSc1GOX3D4zKsUzd5bfg0RQTtrTyyY5V8Z/ML0cT+RaWyeMiJ0Xmk88qGwPrb7k1y8vrFMqJTd1kyfGo6bXFMGwQQWPF6ayCwwuSFwArDWVsVBJauRBBYuvKgGwjYCCCwbIQUjSOwFIXh0AoCywGSoilxEVgG2ZfWPSwr6yrkT4OOlsldhimi2HYrFY21Yjah39pQI70KO4v5vdln6rEhx0uPws4pn0M2BNbV216XWytXyIU9D5Ar+45PuScOaJsAAite7w4EVpi8EFhhOGurgsDSlQgCS1cedAMBGwEElo2QonEElqIwHFpBYDlAUjQlTgLrloq35Zryv8mxXfeROwd+RRHFtlv5/paX5IHqD2RcyQC5feCX5eiyx2RbQ41MLB0kDw4+LuVzyIbAmrB2vpg9uh4efJx8rnRQyj1xAAIrX94DCKwwSSKwwnDWVgWBpSsRBJauPOgGAjYCCCwbIUXjCCxFYTi0gsBygKRoSpwElhE/h659QBqbmuTNEdOlb1GpIpJ7t/JKzQaZuuEJ6VRQKM8NPUVGFfeU5bVb5ZT1i6WmqUFO6raf3DzgiJTOwbfAert2m3y17DHpU1giy/f5uhSk1A2TbQS4AstGSNc4AitMHgisMJy1VUFg6UoEgaUrD7qBgI0AAstGSNE4AktRGA6tILAcICmaEieBZbBduPl5Wbhjtfywzzj5Xq+DFJHcs5XapgY5Yt3Dsqa+Wi7rfYjM7H1I84Rnd62Vb218Rhqlaa8x2wn5Fli/2L5Mbtj+pnyjx6dlbr/DbeUZT5EAAitFYDmejsAKEwACKwxnbVUQWLoSQWDpyoNuIGAjgMCyEVI0jsBSFIZDKwgsB0iKpsRNYL2wq0y+vvFJGf7JhuNarxi6tvwN+U3F8uiqq+eGnSKdpHCP1P9Y9U/54da/Rn9mrsIyV2O5vHwLrK+se0Teq9su9ww6Ro7oMtSlBeakQACBlQIsBVMRWGFCQGCF4aytCgJLVyIILF150A0EbAQQWDZCisYRWIrCcGgFgeUASdGUuAmsJhGZ+MmeTfcOOka+pFC6GCF09LpHpUGaZMGQKdH+V629zH5eZl8vc4vh/YO+Gu2LZXv5FFhm3yuz/1WPwmJZsc+ZUsQNhDb8KY8jsFJGltMDEFhh8COwwnDWVgWBpSsRBJauPOgGAjYCCCwbIUXjCCxFYTi0gsBygKRoStwElkH364q35GflS2VKt5Fy24DJimiKGMF2XNmCaK+rb/YYI9f2m9hmf2bu+Zuelcd3rokk0sIhJ8j+xb3aPR+fAuu3FctlTvkbcnr30fLr/pNUccyXZhBY8UoSgRUmLwRWGM7aqiCwdCWCwNKVB91AwEYAgWUjpGgcgaUoDIdWEFgOkBRNiaPA2tSwSw776AEpLCiQZcO/pmoz9zsq/yE/2faaDCjqIi8PP026FRS3m3ZdU6OctuFxWbp7swwu6ipPDT2p3fPxKbBOWL9Qlu3eIncM/Ioc13UfRe/K/GkFgRWvLBFYYfJCYIXhrK0KAktXIggsXXnQDQRsBBBYNkKKxhFYisJwaAWB5QBJ0ZQ4CiyD79xNz8qfd66R/93ns3Jxr8+oILq+fod8cd1D0RMG7x54pBzTdYRTXxWNtXL8+oWyuq5SDuzcTx4ZcryUFhS1eqwvgWUk4KEf3R/VMbcPtlXP6QSY1CYBBFa83hwIrDB5IbDCcNZWBYGlKxEElq486AYCNgIILBshReMILEVhOLSCwHKApGhKXAXWM7vWyjc3Ph1t5v7q8KkqiJ658Un5y64yOb7rvnL7wC+n1JPZj+q49QtlW0ONfKXLcPn9oCOlsJU9qXwJrLsr35H/s+3VtHpN6cQ6+GQEVrzeAAisMHkhsMJw1lYFgaUrEQSWrjzoBgI2AggsGyFF4wgsRWE4tILAcoCkaEpcBZZBaG4j3NCwU+YPPlYOLx2cU6oLd6yWCzc/L90Li+XFYafJwKIuKfdjbiOcuuEJ2d3UIOf2HCvX9J2w1xo+BNb91e/Lz8uXRex+M+BLcmq3USn3ygFuBBBYbpy0zEJghUkCgRWGs7YqCCxdiSCwdOVBNxCwEUBg2QgpGkdgKQrDoRUElgMkRVPiLLCu275MfrX9TTm5235y04Ajcka1qrFWJq17WDY37JKf9Ttczurx6bR7WbzzQzl/03PR8Vf1/Zyc3/M/91grE4H1h6r35Ibtb0biyrwO6txPHhj8VelR2DntfjmwfQIIrHi9QxBYYfJCYIXhrK0KAktXIggsXXnQDQRsBBBYNkKKxhFYisJwaAWB5QBJ0ZQ4Cyyzj9O4j+6XooJCeXvEGTkTMZdveVnurX5fxpUMkAVDpmSc7m2VK+T/bns9uoXQ3EpobilMvFIVWOZqLiOubq54u1lcfa50kMzsdbBM6jI0415ZAIGVT+8BBFaYNBFYYThrq4LA0pUIAktXHnQDARsBBJaNkKJxBJaiMBxaQWA5QFI0Jc4Cy2A8a+NT8tyudfKTvuPlgp4HBCf7Ss2G6La/TgWF8tzQU2RUcU8vPfxw61/lj1X/jDZXN5u6m83dzctVYO1sqhezz5WRYVsaaqJjJxhx1fsQ+WLpEC89soidAFdg2RlpmoHACpMGAisMZ21VEFi6EkFg6cqDbiBgI4DAshFSNI7AUhSGQysILAdIiqbEXWAlbrnbr7invDTstKBka5sa5Ih1D8ua+mq5rPchkRzy9WqUJvnWxmfk2V1rpW9RqTw+5IRow3qbwDK3M95R+Y7cUfkP2d64O2pn4ifi6guIK1/xOK+DwHJGpWIiAitMDAisMJy1VUFg6UoEgaUrD7qBgI0AAstGSNE4AktRGA6tILAcICmaEneBZUTPwR/dHz2978HBx0WyJtTr59uXyY3b34yuunpu2CnSSQq9lq5papBT1i+W5bVbZWRxT1k85AQZVNJFunYpkm2VtXvUMrLq1ooVcnfVO1LVWBeNmY3tjVjL9Qb3XqHEbDEEVrwCQ2CFyQuBFYaztioILF2JILB05UE3ELARQGDZCCkaR2ApCsOhFQSWAyRFU+IusAzKOeVvyG8rlsvp3UfLr/tPCkJ3VV2lfLnsEWloapTHhkyJ9r/KxsuIuePWL5S19dVRjcUjTpBeXYubBZbZON7sb2X2uTK3DZrX50sHy4/6HJa1nrJxnvm6JgIrXskisMLkhcAKw1lbFQSWrkQQWLryoBsI2AggsGyEFI0jsBSF4dAKAssBkqIp+SCwjNyZsHa+dC4okrdGTM/6Zu5NInLS+kWydPdm+WaPMXJtv4lZTXR1XaUcv36hVDTWyqk9Rsk9+x0lK7aVy28qlkebx5uN2s3L3CI4q884xFVW00htcQRWarxyPRuBFSYBBFYYztqqILB0JYLA0pUH3UDARgCBZSOkaByBpSgMh1YQWA6QFE3JB4FlcE7f8Gd5qWa9XNN3gpzbc2xWCf++6l2ZvXWJDC7qKn8Zdqp0LyzOaj2z+Ou7N0W3E5rXxK6DZMnOjc01zdMEza2C40sGZr0PCqRGAIGVGq9cz0ZghUkAgRWGs7YqCCxdiSCwdOVBNxCwEUBg2QgpGkdgKQrDoRUElgMkRVPyRWA9tuNf8u3Nf5ExnfvIM0NPzhrhjQ07ZdK6h2VHY53cPfBIOabriKzVSl74kR2r5DubX2j+48ldhkUbxx+WpdsXg51YHhdCYMUrXARWmLwQWGE4a6uCwNKVCAJLVx50AwEbAQSWjZCicQSWojAcWkFgOUBSNCVfBJZB+pk190p54+5oT6psSZ1zNj0jT+78SKZ03VduG/jl4EneUvW2LKndIN/rfjC3Cgann3pBBFbqzHJ5BAIrDH0EVhjO2qogsHQlgsDSlQfdQMBGAIFlI6RoHIGlKAyHVhBYDpAUTckngXXVttfl9soV8rXu+8uv+n/RO+VFOz+UCzY9J90Ki+XlYafJgKIu3mvYFiwtLmr1KYS24xjPDQEEVm64p1sVgZUuudSOQ2ClxitfZiOwdCWJwNKVB91AwEYAgWUjpGgcgaUoDIdWEFgOkBRNySeBZZ4MOGndQ1nZzH1HU518Ye1DYp7697N+h8tZPT6dkxQRWDnBnnZRBFba6HJyIAIrDHYEVhjO2qogsHQlgsDSlQfdQMBGAIFlI6RoHIGlKAyHVhBYDpAUTckngWWwmo3OzYbn/6/fRDm7xxhvpGdtfUX+UPVedNvegiFTvK2b6kIIrFSJ5XY+Aiu3/FOtjsBKlVh68xFY6XGL+1EILF0JIrB05UE3ELARQGDZCCkaR2ApCsOhFQSWAyRFU/JNYM2r/kAu3fKS183cl+7eLCeuXySdCgrluaGnyKjinjlLEIGVM/RpFUZgpYUtZwchsMKgR2CF4aytCgJLVyIILF150A0EbAQQWDZCisYRWIrCcGgFgeUASdGUfBNYtU0NctBH90tVY60sGnKCHFLSPyPa9dIoX173iJjbEy/rfUj01L9cvhBYuaSfem0EVurMcnkEAisMfQRWGM7aqiCwdCWCwNKVB91AwEYAgWUjpGgcgaUoDIdWEFgOkBRNyTeBZdD+n22vyt2V78jXu39KftJ3vOxsqpddjfXR/81/u5sapLqxbq8/r2tq3CuZ9+q2y6Idq+U/invLc8NOyXlyCKycR5BSAwislHDlfDICK0wECKwwnLVVQWDpSgSBpSsPuoGAjQACy0ZI0TgCS1EYDq0gsBwgKZqSjwLrndpyOarsUa+UHxsyRQ4rGeB1zXQWQ2ClQy13xyCwcsc+ncoIrHSopX4MAit1ZvlwBAJLV4oILF150A0EbAQQWDZCisYRWIrCcGgFgeUASdGUfBRYBu8J6xfKst1b9iLdo7BYuhd2lu4FnaR7i193M78uKJZeRSXSpaAo+nWPws5i/nxIUdeMb0X0FTkCyxfJMOsgsMJw9lUFgeWLZJh1igoLpH+vEtlYXhOmIFUyIoDAygif94MRWN6RsiAEskoAgZVVvH4XR2D55Znt1RBY2Sbsd/18FVgf1ldJRWNtJKI+FlXF0rWgk194OVgNgZUD6BmURGBlAC8HhyKwcgA9g5IIrAzg5eBQBFYOoLdTEoGlKw+6gYCNAALLRkjROAJLURgOrSCwHCApmpKvAksRYq+tILC84sz6YgisrCP2WgCB5RVn1hdDYGUdsdcCCCyvODNeDIGVMUIWgEBQAgisoLgzK4bAyoxf6KMRWKGJZ1YPgZUZv9BHI7BCE8+sHgIrM36hj0ZghSaeWT0EVmb8Qh+NwApNvP16CCxdedANBGwEEFg2QorGEViKwnBoBYHlAEnRFASWojAcWkFgOUBSNAWBpSgMh1YQWA6QFE1BYCkKw6EVBJYDpIBTEFgBYVMKAh4IILA8QAy1BAIrFGk/dRBYfjiGWgWBFYq0nzoILD8cQ62CwApF2k8dBJYfjqFWQWCFIu2nDgLLD0dfqyCwfJFkHQiEIYDACsPZSxUElheMwRZBYAVD7aUQAssLxmCLILCCofZSCIHlBWOwRRBYwVB7KYTA8oIx2CIIrGConQohsJwwMQkCagggsNREYW8EgWVnpGkGAktTGvZeEFh2RppmILA0pWHvBYFlZ6RpBgJLUxr2XhBYdkaaZiCwNKUhgsDSlQfdQMBGAIFlI6RoHIGlKAyHVhBYDpAUTUFgKQrDoRUElgMkRVMQWIrCcGgFgeUASdEUBJaiMBxaQWA5QAo4BYEVEDalIOCBAALLA8RQSyCwQpH2UweB5YdjqFUQWKFI+6mDwPLDMdQqCKxQpP3UQWD54RhqFQRWKNJ+6iCw/HD0tQoCyxdJ1oFAGAIIrDCcvVRBYHnBGGwRBFYw1F4KIbC8YAy2CAIrGGovhRBYXjAGWwSBFQy1l0IILC8Ygy2CwAqG2qkQAssJE5MgoIYAAktNFPZGEFh2RppmILA0pWHvBYFlZ6RpBgJLUxr2XhBYdkaaZiCwNKVh7wWBZWekaQYCS1Ma7IGlKw26gYCdAALLzkjNDASWmiicGkFgOWFSMwmBpSYKp0YQWE6Y1ExCYKmJwqkRBJYTJjWTEFhqonBqBIHlhCnYJK7ACoaaQhDwQgCB5QVjmEUQWGE4+6qCwPJFMsw6CKwwnH1VQWD5IhlmHQRWGM6+qiCwfJEMsw4CKwxnX1UQWL5I+lkHgeWHI6tAIBQBBFYo0h7qILA8QAy4BAIrIGwPpRBYHiAGXAKBFRC2h1IILA8QAy6BwAoI20MpBJYHiAGXQGAFhO1QCoHlAIkpEFBEAIGlKAxbKwgsGyFd4wgsXXnYukFg2QjpGkdg6crD1g0Cy0ZI1zgCS1cetm4QWDZCusYRWLryQGDpyoNuIGAjgMCyEVI0jsBSFIZDKwgsB0iKpiCwFIXh0AoCywGSoikILEVhOLSCwHKApGgKAktRGA6tILAcIAWcgsAKCJtSEPBAAIHlAWKoJRBYoUj7qYPA8sMx1CoIrFCk/dRBYPnhGGoVBFYo0n7qILD8cAy1CgIrFGk/dRBYfjj6WgWB5Ysk60AgDAEEVhjOXqogsLxgDLYIAisYai+FEFheMAZbBIEVDLWXQggsLxiDLYLACobaSyEElheMwRZBYAVD7VQIgeWEiUkQUEMAgaUmCnsjCCw7I00zEFia0rD3gsCyM9I0A4GlKQ17LwgsOyNNMxBYmtKw94LAsjPSNAOBpSkNEQSWrjzoBgI2AggsGyFF4wgsRWE4tILAcoCkaAoCS1EYDq0gsBwgKZqCwFIUhkMrCCwHSIqmILAUheHQCgLLAVLAKQisgLApBQEPBBBYHiCGWgKBFYq0nzoILD8cQ62CwApF2k8dBJYfjqFWQWCFIu2nDgLLD8dQqyCwQpH2UweB5Yejr1UQWL5Isg4EwhBAYIXh7KUKAssLxmCLILCCofZSCIHlBWOwRRBYwVB7KYTA8oIx2CIIrGCovRRCYHnBGGwRBFYw1E6FEFhOmJgEATUEEFhqorA3gsCyM9I0A4GlKQ17LwgsOyNNMxBYmtKw94LAsjPSNAOBpSkNey8ILDsjTTMQWJrSYA8sXWnQDQTsBBBYdkZqZiCw1ETh1AgCywmTmkkILDVRODWCwHLCpGYSAktNFE6NILCcMKmZhMBSE4VTIwgsJ0zBJnEFVjDUFIKAFwIILC8YwyyCwArD2VcVBJYvkmHWQWCF4eyrCgLLF8kw6yCwwnD2VQWB5YtkmHUQWGE4+6qCwPJF0s86CCw/HFkFAqEIdGiBFQoydSAAAQhAAAIQgAAEIAABCEAAAhCAAATSJ4DASp8dR0IAAhCAAAQgAAEIQAACEIAABCAAAQgEIIDACgCZEhCAAAQgAAEIQAACEIAABCAAAQhAAALpE0Bgpc+OIyEAAQhAAAIQgAAEIAABCEAAAhCAAAQCEEBgBYCcXOKhxS/K6rUbZOYF01qtfv1t82Tk8MFy2vGTrN2VV1TJxbNukLfeWRnN/d2Ns2T8wWOaj3v9zXfl7EvmRr8/aOxouWnupdKnVw/rukz4NwGfeZls77xnUfPi5OX/nbbqwzL5xc33yZwfnd/8Xq+pqZUrr7tLFj29pE32rXXC58t/Pskr+szLfFZ//PM7m0tcc8WMPb6O8vUw8zxby8usamPfWuXkz2VyXrbPX+Znk/8r+MzLljF5Zf5+MgxnX3u7/ODbZ8iofYe2+T3i68vetX4/x+cr8zxsK/jMy3xWL7zil1K2cWtUdspRE+Xqy8+V0tLO0e/5fNnSYBwCEOgoBBBYAZNu+cPTjDOn7CWwWn5zmPyNfHvf/E8cd0D0Q5r5y2/23Dtkzqzzom98kn9v1l+ydMUefyEGPP3YlfKdl/nm4+77n5CLv3ly9A0Jefl9S7T85i5Z1iazN9nOnnO73Przy9r8ISHxzT+fL785JVbLRl43/c+jcs70YyNxmVh/5kXTIqnP18PMcmwvL/NZaY99W5WN0Dcv8485yXnZPn+ZnU3+H+07L1vG5JXZe6qlbBo6qF+bfzcl/hHM5R8k+Xxllkl7R2cjL/M9+ohhA5r/Ebplfny+spclK0MAAvEjgMDKQWbpXtFj/jLbsGlrs4BK/pfV5L/gkusk/wCXg1OPZUlfeSWffPIPbOTl5+3R1hUHLVdPZm/GDP95C55v/ldtPl9+8rCt4iuv5Dp8PbSRT2/cJa9k9q19vlq7cqHlD2y2z1963Xe8o3zlZft8kZef91Z7V/QkvkeYNOFAuf6WeXtcgZW4emfO7PMjAcLny08etlV85dVanZb/6Fy2ccseV5a39jXW1ivjEIAABPKFAAIrB0n6EiLmKpLkb2Ja/gDQ8tfmNFv7oT0Hpx+7kr7ySj7x5KuAyMvPW8PlB7bWZG6ywOLz5ScP2yq+8kquk/wDHZ8vWxJu4655mVthEj9MtyWIW14xnJiTuEp4+Xur2v37za1bZvnKy/b5sn29JAk3Am0JkZYyo7XPRvLXu7b+juPz5ZaD6yxfebUliAcP7BddocrnyzUR5kEAAh2BAAIrBymnK0RaEyDmipGW98gnC6yWe2khsNIL21deieot9zlouQdW8t5n5JVeXrYf2Fz/5dJ8w8jnK70MUjnKV16Jmi1vnWp5Kzafr1RSaXtue3m1xb611VpbJ/mH9PY+f37OJv9X8ZWX7fNl+3qZ/6T9nGFrQiSZbWsyozXBmLwXJJ8vPxm1XMVXXi3XTNwm2nIPLD5f/rNjRQhAIL4EEFg5yM6XELH9iwxXHPgJ11deyd0kCyry8pNXez+wJeRV4l8126vI58tPHrZVfOWVXCdZVPL5siXhNm4TjmYVF0nMFSJuvDOd5Ssv2+fL9vUy0/PoKMe3JkSSN89PsGhvHyw+X2HeMb7yaq1b21V3yX+nhTljqkAAAhDIPQEEVg4y8CVEbHtOsKeSn3B95dVaNy2vCiEvP3m19QNbKvLKdMLny08etlV85dXWDwCJJ77y+bIl4TbuIkTMSravm+zR48Y701m+8rJ9vmxfLzM9j45yvMtT7VyuwOLzFeYd4yuv1rpt+Zkq317FHlhhIqUKBCAQAwIIrByEZPvGPvlWl0SLyZu4255KkvwvcDyFML2wfeVl8nj6xTfkgrNOjBqx7VlBXunl1doPbC5XhCTvgcXnKz3+qR7lK6/kJ00mrnCcduLkVp/Syucr1aQ+nt9aXjb2CaHV8iEJ5s94Slp6GaRylK+8bBnbvl6m0nNHnpuuEEn+foLPV5h3kc+8bvvjAjlq0mHNT0Zu+T2/OZsrr7tL2noqcpizpQoEIAABHQQQWAFzMP9qdvYlc/eo2HIPpOTLxJMfpZwssMxCLfccMb9vuZ75fcuaLo9dDohDfSnfebV87HLi5MnL39sg+bNgVp5x5pRoA9SW+461rJgYb+sHbD5f/vJJXikbeSX2DknUarkHFl8PM8uyvbwSPyzfec+i5iLJ7JMFsZmY/DUx+Rjb5y+zM8rvo7ORl+3zRV7pv6da+/6g5R5ILVdu7Qqs1gQWn6/087AdmY28kr/nTM6fz5ctFcYhAIGOQgCB1VGS5jwhAAEIQAACEIAABCAAAQhAAAIQgEBMCSCwYhocbUMAAhCAAAQgAAEIQAACEIAABCAAgY5CAIHVUZLmPCEAAQhAAAIQgAAEIAABCEAAAhCAQEwJILBiGhxtQwACEIAABCAAAQhAAAIQgAAEIACBjkIAgdVRkuY8IQABCEAAAhCAAAQgAAEIQAACEIBATAkgsGIaHG1DAAIQgAAEIAABCEAAAhCAAAQgAIGOQgCB1VGS5jwhAAEIQAACEIAABCAAAQhAAAIQgEBMCSCwWglu1YdlcuEVv5SyjVtlylET5erLz5XS0s5eI77+tnly5z2Lmte85ooZctrxk/aqYeaNHD641bH2GrKt//qb78rZl8yNljho7Gi5ae6l0qdXjz2WNBx+cfN9MudH5+815nK8V2AsBgEIQAACEIAABCAAAQhAAAIQgECHJYDAaid6I2nmLXjeu8CqqamVm/7nUTln+rGRGEoIszmzz5fxB4+JOnpo8Yvy45/fGf26LbnVVuu29U292XPvkDmzzpNR+w6Nai1ZuqL5PMsrquTiWTfIW++sbFVuGS7X3zKvVenVYT9JnDgEIAABCEAAAhCAAAQgAAEIQAACWSOAwEpBYLWUSuaw3904q1k4mSueduzYJVU7dsqip5fI0EH95NafXxYJItvLCKcrr7tLJo47YK8rrdK9AqtlzeT1zXmsXrtBZl4wLZqWLLQSx7Z2BZaRW7OvvV1+8O0znM7Ndu6MQwACEIAABCAAAQhAAAIQgAAEIAABGwEElqPAMtPmL/qLTJ1yRHQ7oZFA5uqsxK13RjQ9/sySZmmVfFVTe0EkrniaedG0ZiGWmO9DYCWvb9Y0r4TAaqt+awKr5e2ViR5nnDmleS3bG45xCEAAAhCAAAQgAAEIQAACEIAABCCQKgEElqPASt4DK/mqpWQplMrth8nHtmzJh8BKXj95zVQEVvJ5JY6dduLklPfpSvXNynwIQAACEIAABCAAAQhAAAIQgAAEOiYBBFYKAiv56qOWtwmmK7DMcRs2bW1zn61MBVZr62dyBVZrYi6Vq8065seMs4YABCAAAQhAAAIQgAAEIAABCEAgEwIILEeBVbZxS/RkwsRG6z6uwLLJK9NaJgKrrfUz2QOrtdsKk9fL5A3JsRCAAAQgAAEIQAACEIAABCAAAQhAIJkAAqud90TLK5WShZW5Emn2nNub97xK9Qqs9m4bbNlSawKrvU3fE8e2t77tKYSJNVqTVYnagwf2i/a9am//Lj5uEIAABCAAAQhAAAIQgAAEIAABCEDABwEEVhJFI6bOvmRu9KcHjR3dvEm7+b2RQnfesygaO3DsqOj/c2adFz2NLxWBlZA+b72zco/qU46a2HwrYfITD1vertjWUwMTi7ms3z/CpagAAAHRSURBVN55tnZ8y43ak8evuWIG+1/5+DSyBgQgAAEIQAACEIAABCAAAQhAAAKtEkBgxfCNYeTTi68u58l/McyOliEAAQhAAAIQgAAEIAABCEAAAhBInQACK3VmOT/CXO01acKBMv7gMTnvhQYgAAEIQAACEIAABCAAAQhAAAIQgEC2CSCwsk2Y9SEAAQhAAAIQgAAEIAABCEAAAhCAAAQyIoDAyggfB0MAAhCAAAQgAAEIQAACEIAABCAAAQhkmwACK9uEWR8CEIAABCAAAQhAAAIQgAAEIAABCEAgIwIIrIzwcTAEIAABCEAAAhCAAAQgAAEIQAACEIBAtgkgsLJNmPUhAAEIQAACEIAABCAAAQhAAAIQgAAEMiKAwMoIHwdDAAIQgAAEIAABCEAAAhCAAAQgAAEIZJsAAivbhFkfAhCAAAQgAAEIQAACEIAABCAAAQhAICMCCKyM8HEwBCAAAQhAAAIQgAAEIAABCEAAAhCAQLYJILCyTZj1IQABCEAAAhCAAAQgAAEIQAACEIAABDIigMDKCB8HQwACEIAABCAAAQhAAAIQgAAEIAABCGSbAAIr24RZHwIQgAAEIAABCEAAAhCAAAQgAAEIQCAjAv8f8TMThLBWMxQAAAAASUVORK5CYII=\n",
      "text/plain": "<IPython.core.display.Image object>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "image/png": 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\n",
      "text/plain": "<IPython.core.display.Image object>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "# Fig4\n",
    "fig4 = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
    "fig4.add_trace(go.Candlestick(x=df_5m_aux[5050:5100].index,\n",
    "                open=df_5m['first_r'][5050:5100],\n",
    "                high=df_5m['max_r'][5050:5100],\n",
    "                low=df_5m['min_r'][5050:5100],\n",
    "                close=df_5m['last_r'][5050:5100],\n",
    "                increasing_line_color= 'red', decreasing_line_color= 'blue',\n",
    "                name=\"OHLC r\"))\n",
    "fig4.add_trace(go.Candlestick(x=df_5m[5050:5100].index,\n",
    "                open=df_5m[5050:5100]['bar_quantile_75_r'],\n",
    "                high=df_5m[5050:5100]['bar_quantile_75_r'],\n",
    "                low=df_5m[5050:5100]['bar_quantile_25_r'],\n",
    "                close=df_5m[5050:5100]['bar_quantile_25_r'],\n",
    "                increasing_line_color= 'gray', decreasing_line_color= 'gray',\n",
    "                name=\"25-75 quantiles r\"))\n",
    "fig4.add_trace(go.Scatter(\n",
    "                x=df_5m[5050:5100].index,\n",
    "                y=df_5m[5050:5100]['mean'],\n",
    "                name=\"bar mean\"),\n",
    "                secondary_y=True)\n",
    "\n",
    "fig4.update(layout_xaxis_rangeslider_visible=False)\n",
    "fig4.update_layout(\n",
    "    title_text='5 min bars - return-like features',\n",
    "    autosize=False,\n",
    "    width=1200,\n",
    "    height=600,\n",
    "    margin=dict(l=10,r=10,b=10,t=40))\n",
    "img_bytes = fig4.to_image(format=\"png\")\n",
    "display(Image(img_bytes))\n",
    "\n",
    "# Fig5\n",
    "fig5 = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
    "fig5.add_trace(go.Candlestick(x=df_5m_sft2[5050:5100].index,\n",
    "                open=df_5m_sft2['first_r'][5050:5100],\n",
    "                high=df_5m_sft2['max_r'][5050:5100],\n",
    "                low=df_5m_sft2['min_r'][5050:5100],\n",
    "                close=df_5m_sft2['last_r'][5050:5100],\n",
    "                increasing_line_color= 'red', decreasing_line_color= 'blue',\n",
    "                name=\"OHLC r\"))\n",
    "fig5.add_trace(go.Candlestick(x=df_5m_sft2[5050:5100].index,\n",
    "                open=df_5m_sft2[5050:5100]['bar_quantile_75_r'],\n",
    "                high=df_5m_sft2[5050:5100]['bar_quantile_75_r'],\n",
    "                low=df_5m_sft2[5050:5100]['bar_quantile_25_r'],\n",
    "                close=df_5m_sft2[5050:5100]['bar_quantile_25_r'],\n",
    "                increasing_line_color= 'gray', decreasing_line_color= 'gray',\n",
    "                name=\"25-75 quantiles r\"))\n",
    "fig5.add_trace(go.Scatter(\n",
    "                x=df_5m_sft2[5050:5100].index,\n",
    "                y=df_5m_sft2[5050:5100]['mean'],\n",
    "                name=\"bar mean\"),\n",
    "                secondary_y=True)\n",
    "\n",
    "fig5.update(layout_xaxis_rangeslider_visible=False)\n",
    "fig5.update_layout(\n",
    "    title_text='5 min bars shifted by 2 min',\n",
    "    autosize=False,\n",
    "    width=1200,\n",
    "    height=600,\n",
    "    margin=dict(l=10,r=10,b=10,t=40))\n",
    "img_bytes = fig5.to_image(format=\"png\")\n",
    "display(Image(img_bytes))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sacrilege!!!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's break some rules, or at least sacrifice some advantage of the bars sampled after equal time periods, certain tick numbers, or pre-defined volumes.\n",
    "Let's build a bar sequence, where the bars further in the past cover larger and larger ranges.\n",
    "\n",
    "But why would we do that? Because we want to enable our model to process a sequence of a very long period. If we use equally sampled bars, then for our forecast the last bar of the past denoted as \"t\" is the most important, and the earlier bar at \"t-1\" is probably very important. The bar at \"t-46\" and \"t-47\" alone can be relatively unimportant, but some characteristics of the range between \"t-40\" and \"t-50\" can be useful for the model. We can sample this full range as one bar.\n",
    "\n",
    "The range of a full input sequence can be very large this way. In the following calculations, there are some simple examples of how large ranges can be processed with this technique. For example, if our last bar is a one minute bar, and every earlier bar is longer by 1.1, then a 20 bar sequence is almost an hour. Instead of 60 1 minute bars, we can use only 20, not equal length bars. But if our sequence is 100 bar long, then the range of our full sequence is 137796 minutes. This is over 95 days!\n",
    "\n",
    "These bar types have their strong disadvantages. These bars will distort or even abolish seasonality. If we have seasonal data, probably we should use other sampling methods. These bars need more computation power than the regularly sampled bars because we need to calculate more bars of different ranges.\n",
    "\n",
    "I have to admit that I didn't use this bar type earlier. This article is part of a sequence of loosely/closely related articles I wrote and will write, and this idea belongs here. In the code below I show a simple implementation of these bars. The last bar of the sequence is a 5-minute bar, and the 50 bars in the sequence cover 2 days. Live implementation for model training will come later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate exponentialy growing numbers\n",
    "bar_ranger = lambda start_bar, p_base, steps : [start_bar*p_base**i for i in range(steps)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "[1.0, 1.1, 1.2100000000000002, 1.3310000000000004, 1.4641000000000004, 1.6105100000000006, 1.7715610000000008, 1.9487171000000012, 2.1435888100000016, 2.357947691000002, 2.5937424601000023, 2.8531167061100025, 3.138428376721003, 3.452271214393104, 3.7974983358324144, 4.177248169415656, 4.594972986357222, 5.054470284992945, 5.55991731349224, 6.115909044841464]\n57.27499949325606\n"
    }
   ],
   "source": [
    "# just an example of ranges and the sum of ranges\n",
    "print(bar_ranger(1,1.1,20))\n",
    "print(sum(bar_ranger(1,1.1,20)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "137796.12339822372\n"
    }
   ],
   "source": [
    "# an other example\n",
    "print(sum(bar_ranger(1,1.1,100)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "2868.8507820769573\n"
    }
   ],
   "source": [
    "# our working example: sum of ranges\n",
    "print(sum(bar_ranger(5,1.08,50)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "[0,\n 5.0,\n 5.4,\n 5.832000000000001,\n 6.298560000000001,\n 6.802444800000002,\n 7.346640384000002,\n 7.9343716147200025,\n 8.569121343897605,\n 9.254651051409413,\n 9.995023135522166,\n 10.79462498636394,\n 11.658194985273056,\n 12.590850584094902,\n 13.598118630822496,\n 14.685968121288296,\n 15.86084557099136,\n 17.12971321667067,\n 18.500090274004325,\n 19.98009749592467,\n 21.578505295598646,\n 23.304785719246542,\n 25.169168576786266,\n 27.18270206292917,\n 29.357318227963503,\n 31.705903686200585,\n 34.242375981096636,\n 36.981766059584366,\n 39.940307344351126,\n 43.135531931899216,\n 46.586374486451156,\n 50.31328444536725,\n 54.33834720099664,\n 58.68541497707636,\n 63.380248175242485,\n 68.45066802926189,\n 73.92672147160285,\n 79.84085918933107,\n 86.22812792447758,\n 93.12637815843578,\n 100.57648841111063,\n 108.6226074839995,\n 117.31241608271947,\n 126.69740936933704,\n 136.833202118884,\n 147.77985828839473,\n 159.60224695146633,\n 172.37042670758365,\n 186.16006084419035,\n 201.0528657117256,\n 217.13709496866363]"
     },
     "metadata": {},
     "execution_count": 24
    }
   ],
   "source": [
    "# ranges\n",
    "bar_times = bar_ranger(5,1.08,50)\n",
    "# starting zero for later calculations\n",
    "bar_times.insert(0, 0)\n",
    "bar_times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "TimedeltaIndex([       '00:00:00',        '00:05:00',        '00:05:24',\n                '00:05:49.920000', '00:06:17.913600', '00:06:48.146688',\n                '00:07:20.798423', '00:07:56.062296', '00:08:34.147280',\n                '00:09:15.279063', '00:09:59.701388', '00:10:47.677499',\n                '00:11:39.491699', '00:12:35.451035', '00:13:35.887117',\n                '00:14:41.158087', '00:15:51.650734', '00:17:07.782793',\n                '00:18:30.005416', '00:19:58.805849', '00:21:34.710317',\n                '00:23:18.287143', '00:25:10.150114', '00:27:10.962123',\n                '00:29:21.439093', '00:31:42.354221', '00:34:14.542558',\n                '00:36:58.905963', '00:39:56.418440', '00:43:08.131915',\n                '00:46:35.182469', '00:50:18.797066', '00:54:20.300832',\n                '00:58:41.124898', '01:03:22.814890', '01:08:27.040081',\n                '01:13:55.603288', '01:19:50.451551', '01:26:13.687675',\n                '01:33:07.582689', '01:40:34.589304', '01:48:37.356449',\n                '01:57:18.744964', '02:06:41.844562', '02:16:49.992127',\n                '02:27:46.791497', '02:39:36.134817', '02:52:22.225602',\n                '03:06:09.603650', '03:21:03.171942', '03:37:08.225698'],\n               dtype='timedelta64[ns]', freq=None)"
     },
     "metadata": {},
     "execution_count": 25
    }
   ],
   "source": [
    "# ranges to timedelta\n",
    "bar_times = pd.to_timedelta(bar_times, unit='min')\n",
    "bar_times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "TimedeltaIndex([       '0 days 00:00:00',        '0 days 00:05:00',\n                       '0 days 00:10:24', '0 days 00:16:13.920000',\n                '0 days 00:22:31.833600', '0 days 00:29:19.980288',\n                '0 days 00:36:40.778711', '0 days 00:44:36.841007',\n                '0 days 00:53:10.988288', '0 days 01:02:26.267351',\n                '0 days 01:12:25.968739', '0 days 01:23:13.646238',\n                '0 days 01:34:53.137938', '0 days 01:47:28.588973',\n                '0 days 02:01:04.476090', '0 days 02:15:45.634178',\n                '0 days 02:31:37.284912', '0 days 02:48:45.067705',\n                '0 days 03:07:15.073121', '0 days 03:27:13.878971',\n                '0 days 03:48:48.589289', '0 days 04:12:06.876432',\n                '0 days 04:37:17.026547', '0 days 05:04:27.988670',\n                '0 days 05:33:49.427764', '0 days 06:05:31.781985',\n                '0 days 06:39:46.324544', '0 days 07:16:45.230508',\n                '0 days 07:56:41.648948', '0 days 08:39:49.780864',\n                '0 days 09:26:24.963334', '0 days 10:16:43.760400',\n                '0 days 11:11:04.061232', '0 days 12:09:45.186131',\n                '0 days 13:13:08.001021', '0 days 14:21:35.041103',\n                '0 days 15:35:30.644391', '0 days 16:55:21.095943',\n                '0 days 18:21:34.783618', '0 days 19:54:42.366308',\n                '0 days 21:35:16.955612', '0 days 23:23:54.312061',\n                '1 days 01:21:13.057026', '1 days 03:27:54.901589',\n                '1 days 05:44:44.893716', '1 days 08:12:31.685213',\n                '1 days 10:52:07.820030', '1 days 13:44:30.045632',\n                '1 days 16:50:39.649283', '1 days 20:11:42.821226',\n                '1 days 23:48:51.046924'],\n               dtype='timedelta64[ns]', freq=None)"
     },
     "metadata": {},
     "execution_count": 26
    }
   ],
   "source": [
    "# cumulative sum of ranges\n",
    "cumsum_range = np.cumsum(bar_times)\n",
    "cumsum_range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "def exp_resampler(i, cumsum_range, df, column_name):\n",
    "    '''\n",
    "    This function creates bars from tickdata\n",
    "    The start and end dates of the bars are calculated from the subsequent cumsum ranges\n",
    "    The cumsum_range can be any increasing timedelta series, so we can sample unequel length bars\n",
    "\n",
    "    Parameters:\n",
    "    i (int): index of the starting tick\n",
    "    cumsum_range (TimedeltaIndex): bar time borders\n",
    "    df (Dataframe): dataframe with tickdata\n",
    "    column_name (string): name of column to sample\n",
    "\n",
    "    Return:\n",
    "    df_data (Dataframe): dataframe of sampled candles\n",
    "    '''\n",
    "    df_data = pd.DataFrame(columns=[    \"start\", \n",
    "                                        \"end\", \n",
    "                                        \"timedelta\",\n",
    "                                        \"ticks\", \"open\", \"high\", \"low\", \"close\", \"mean\", \"std\"])\n",
    "    seq_limits = [(df[i:i+1].index - st) for st in cumsum_range]\n",
    "    for idx, limit in enumerate(seq_limits):\n",
    "        if idx>0:\n",
    "            df_work = df.loc[seq_limits[idx][0] : seq_limits[idx-1][0]]\n",
    "            row = { \"start\" :seq_limits[idx][0],\n",
    "                    \"end\" : seq_limits[idx-1][0],\n",
    "                    \"timedelta\" : seq_limits[idx-1][0] - seq_limits[idx][0],\n",
    "                    \"ticks\" : df_work[column_name].shape[0], \n",
    "                    \"open\" : df_work[column_name].iloc[0], \n",
    "                    \"high\" : df_work[column_name].max(), \n",
    "                    \"low\" : df_work[column_name].min(), \n",
    "                    \"close\" : df_work[column_name].iloc[-1], \n",
    "                    \"mean\" : df_work[column_name].mean(),\n",
    "                    \"std\" : df_work[column_name].std()}        \n",
    "            df_data = df_data.append(row, ignore_index=True)\n",
    "    return df_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "Ask price    118.46\nName: 2016-01-26 21:13:54, dtype: float64"
     },
     "metadata": {},
     "execution_count": 28
    }
   ],
   "source": [
    "# check last tick to sample, and the time of the last tick\n",
    "df.iloc[2000000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "tags": [
     "outputPrepend"
    ]
   },
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "(50, 10)"
     },
     "metadata": {},
     "execution_count": 29
    }
   ],
   "source": [
    "# sample one sequence\n",
    "df_exp = exp_resampler(2000000, cumsum_range, df, 'Ask price')\n",
    "df_exp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "image/png": 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\n",
      "text/plain": "<IPython.core.display.Image object>"
     },
     "metadata": {},
     "execution_count": 30
    }
   ],
   "source": [
    "# Fig6\n",
    "# chart is zoomable - hover right top\n",
    "fig6 = make_subplots(specs=[[{\"secondary_y\": True}]])\n",
    "fig6.add_trace(go.Candlestick(x=df_exp['start'],\n",
    "                open=df_exp['open'],\n",
    "                high=df_exp['high'],\n",
    "                low=df_exp['low'],\n",
    "                close=df_exp['close'],\n",
    "                increasing_line_color= 'red', decreasing_line_color= 'blue',\n",
    "                name=\"OHLC exp\"))\n",
    "fig6.add_trace(go.Scatter(\n",
    "                x=df_exp['start'],\n",
    "                y=df_exp['mean'],\n",
    "                marker_color=\"purple\",\n",
    "                name=\"bar mean\"))\n",
    "\n",
    "fig6.update_layout(\n",
    "    title_text='Exponentialy sampled bars',\n",
    "    autosize=False,\n",
    "    width=1200,\n",
    "    height=600,\n",
    "    margin=dict(l=10,r=10,b=10,t=40))\n",
    "img_bytes = fig6.to_image(format=\"png\")\n",
    "Image(img_bytes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Links"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089) - Marcos Lopez de Prado\n",
    "\n",
    "- [Financial Machine Learning Part 1: Labels](https://towardsdatascience.com/financial-machine-learning-part-1-labels-7eeed050f32e) - Maks Ivanov\n",
    "\n",
    "- [data source](https://www.dukascopy.com/trading-tools/widgets/charts/chart) - dukascopy.com\n",
    "\n",
    "- [Why Log Returns](https://quantivity.wordpress.com/2011/02/21/why-log-returns/) - Quantivity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Thanks for reading!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thanks for reading. If you have any remark, critic or idea you want to share, write in the comments or send a message on Linkedin. https://www.linkedin.com/in/istvanveber/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}