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garyzava/volatility_xemm_strategy_validation.ipynb

Created April 27, 2025 03:24
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volatility_xemm_strategy_validation.ipynb
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volatility_xemm_strategy_validation.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/garyzava/91b01ee69f5d5b7ceb823726b774680a/volatility_xemm_strategy_validation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"id": "25a68485",
"metadata": {
"id": "25a68485"
},
"source": [
"# Volatility XEMM Strategy Validation\n",
"\n",
"The notebook includes 10 detailed test cases that validate different aspects of the strategy:\n",
"\n",
"1. Bollinger Bands Calculation: Tests the calculation of Bollinger Bands Width (BBW) as a volatility indicator to guide trading decisions.\n",
"2. Market Condition Determination: Analyzes how the strategy classifies market conditions (NORMAL, HIGH_VOL, EXTREME_VOL) based on BBW thresholds.\n",
"3. Inventory Skew Calculation: Tests how the strategy adjusts order sizes based on current inventory ratios to maintain balanced positions.\n",
"4. Profitability Calculation: Examines the profitability calculation after accounting for fees and slippage across different exchanges.\n",
"5. Strategy Behavior Simulation: Simulates what decisions the strategy would make under different market conditions and profitability levels.\n",
"6. Scatter of PNL per Trade: Visualizes the relationship between volatility levels and trade profitability.\n",
"7. Histogram of PNL Distribution: Analyzes the distribution of profits and losses across different trade types and market conditions.\n",
"8. Backtesting Analysis with Candles: Visualizes trade opportunities on candlestick charts to identify profitable entry and exit points.\n",
"9. Volatility Impact on Strategy Performance: Examines how different volatility ranges affect overall strategy performance.\n",
"10. Exchange Price Divergence Analysis: Analyzes how price differences between exchanges correlate with trading profitability.\n",
"\n",
"The notebook processes real candles data from both Binance and HTX exchanges for the ETH-USDT trading pair, demonstrating how the strategy would perform under actual market conditions."
]
},
{
"cell_type": "markdown",
"id": "37abdaee",
"metadata": {
"id": "37abdaee"
},
"source": [
"## Import Libraries"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4e765a75",
"metadata": {
"id": "4e765a75",
"outputId": "94f37727-8511-4b0a-b518-2a10d89318e2"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: seaborn in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (0.13.2)\n",
"Requirement already satisfied: numpy!=1.24.0,>=1.20 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from seaborn) (1.26.4)\n",
"Requirement already satisfied: pandas>=1.2 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from seaborn) (2.2.3)\n",
"Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from seaborn) (3.10.1)\n",
"Requirement already satisfied: contourpy>=1.0.1 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.3.2)\n",
"Requirement already satisfied: cycler>=0.10 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.12.1)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.57.0)\n",
"Requirement already satisfied: kiwisolver>=1.3.1 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.4.8)\n",
"Requirement already satisfied: packaging>=20.0 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (25.0)\n",
"Requirement already satisfied: pillow>=8 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (11.2.1)\n",
"Requirement already satisfied: pyparsing>=2.3.1 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.2.3)\n",
"Requirement already satisfied: python-dateutil>=2.7 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (2.9.0.post0)\n",
"Requirement already satisfied: pytz>=2020.1 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from pandas>=1.2->seaborn) (2025.2)\n",
"Requirement already satisfied: tzdata>=2022.7 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from pandas>=1.2->seaborn) (2025.2)\n",
"Requirement already satisfied: six>=1.5 in /Users/gary/anaconda3/envs/quants-lab/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.4->seaborn) (1.17.0)\n"
]
}
],
"source": [
"!pip install seaborn\n",
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b671a7c1",
"metadata": {
"id": "b671a7c1"
},
"outputs": [],
"source": [
"import os\n",
"import sys\n",
"from decimal import Decimal\n",
"import warnings\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from datetime import datetime, timedelta\n",
"#import seaborn as sns\n",
"from typing import Dict, List, Set, Optional, Tuple\n",
"import time\n",
"\n",
"warnings.filterwarnings(\"ignore\")\n",
"\n",
"# Add the root path to recognize the modules\n",
"root_path = os.path.abspath(os.path.join(os.getcwd(), '../..'))\n",
"sys.path.append(root_path)\n",
"\n",
"# Import necessary modules\n",
"from core.data_sources.clob import CLOBDataSource\n",
"from core.data_structures.candles import Candles"
]
},
{
"cell_type": "markdown",
"id": "182ef543",
"metadata": {
"id": "182ef543"
},
"source": [
"## Strategy Configuration"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ef633f2b",
"metadata": {
"id": "ef633f2b",
"outputId": "28731ad2-6751-4fde-fecf-2792aefbd3dc"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading candles data...\n",
"Downloading Binance candles...\n",
"Batch 1/1\n",
"Start: 0, End: 10\n",
"Batch 1/1\n",
"Start: 0, End: 10\n",
"Batch 1/1\n",
"Start: 0, End: 10\n",
"Downloading HTX candles...\n",
"Batch 1/1\n",
"Start: 0, End: 10\n",
"Batch 1/1\n",
"Start: 0, End: 10\n",
"Batch 1/1\n",
"Start: 0, End: 10\n",
"\n",
"Binance 1m candles sample:\n",
" timestamp open high low close volume \\\n",
"timestamp \n",
"2025-03-28 02:48:00 1743130080 2009.22 2010.4 2009.22 2010.23 115.2855 \n",
"2025-03-28 02:49:00 1743130140 2010.22 2010.59 2009.79 2010.58 182.964 \n",
"2025-03-28 02:50:00 1743130200 2010.58 2010.98 2010.4 2010.82 98.8981 \n",
"2025-03-28 02:51:00 1743130260 2010.82 2010.82 2009.39 2009.66 122.3213 \n",
"2025-03-28 02:52:00 1743130320 2009.66 2010.12 2009.48 2010.11 87.2764 \n",
"\n",
" quote_asset_volume n_trades taker_buy_base_volume \\\n",
"timestamp \n",
"2025-03-28 02:48:00 231696.45969 613 93.0135 \n",
"2025-03-28 02:49:00 367777.64801 835 57.2288 \n",
"2025-03-28 02:50:00 198861.609301 512 33.5581 \n",
"2025-03-28 02:51:00 245866.623441 713 29.1022 \n",
"2025-03-28 02:52:00 175411.773297 394 50.9586 \n",
"\n",
" taker_buy_quote_volume \n",
"timestamp \n",
"2025-03-28 02:48:00 186929.567282 \n",
"2025-03-28 02:49:00 115035.202179 \n",
"2025-03-28 02:50:00 67473.309778 \n",
"2025-03-28 02:51:00 58488.336667 \n",
"2025-03-28 02:52:00 102412.883304 \n",
"\n",
"HTX 1m candles sample:\n",
" timestamp open high low close volume \\\n",
"timestamp \n",
"2025-03-28 02:48:00 1743130080 2009.36 2010.41 2009.36 2010.41 40.7746027 \n",
"2025-03-28 02:49:00 1743130140 2010.32 2010.57 2009.94 2010.57 22.4742168 \n",
"2025-03-28 02:50:00 1743130200 2010.57 2011.04 2010.57 2010.93 28.8554147 \n",
"2025-03-28 02:51:00 1743130260 2010.94 2010.94 2009.87 2009.87 20.3266268 \n",
"2025-03-28 02:52:00 1743130320 2009.95 2010.57 2009.66 2010.56 29.1658397 \n",
"\n",
" quote_asset_volume n_trades taker_buy_base_volume \\\n",
"timestamp \n",
"2025-03-28 02:48:00 81952.55467889 0 0 \n",
"2025-03-28 02:49:00 45177.65993988 0 0 \n",
"2025-03-28 02:50:00 58020.92987819 0 0 \n",
"2025-03-28 02:51:00 40867.64666595 0 0 \n",
"2025-03-28 02:52:00 58629.24844984 0 0 \n",
"\n",
" taker_buy_quote_volume \n",
"timestamp \n",
"2025-03-28 02:48:00 0 \n",
"2025-03-28 02:49:00 0 \n",
"2025-03-28 02:50:00 0 \n",
"2025-03-28 02:51:00 0 \n",
"2025-03-28 02:52:00 0 \n",
"\n",
"Binance 1m candles shape: (43200, 10)\n",
"HTX 1m candles shape: (43200, 10)\n"
]
},
{
"data": {
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"text/plain": [
"<Figure size 1500x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Strategy configuration - same as specified in the requirements\n",
"class Config:\n",
" def __init__(self):\n",
" self.markets = {}\n",
" self.candles_config = []\n",
" self.controllers_config = []\n",
" self.config_update_interval = 60\n",
" self.script_file_name = \"volatility_xemm.py\"\n",
" self.maker_connector = \"htx\"\n",
" self.maker_trading_pair = \"ETH-USDT\"\n",
" self.taker_connector = \"binance\"\n",
" self.taker_trading_pair = \"ETH-USDT\"\n",
" self.target_profitability = Decimal('0.000')\n",
" #self.min_profitability = Decimal('0.003')\n",
" self.min_profitability = Decimal('0.000')\n",
" self.max_profitability = Decimal('0.008')\n",
" self.order_amount_quote = Decimal('20')\n",
" self.bb_length = 20\n",
" self.bb_std = 2.0\n",
" self.candles_interval = \"1m\"\n",
" self.min_bbw_threshold = 0.03\n",
" self.max_bbw_threshold = 0.05\n",
" self.high_volatility_threshold = 0.2\n",
" self.spread_multiplier_high_vol = 1.5\n",
" self.assumed_slippage = Decimal('0.001')\n",
" self.inventory_skew_enabled = True\n",
" self.target_base_pct = Decimal('0.5')\n",
" self.inventory_range_multiplier = Decimal('1.5')\n",
" self.candles_connector = \"binance\"\n",
" self.candles_trading_pair = \"ETH-USDT\"\n",
" self.enable_balance_check = False\n",
" self.enable_profitability_check = False\n",
" self.enable_volatility_management = False\n",
"\n",
"# Initialize configuration\n",
"config = Config()\n",
"\n",
"# Get trading candles data\n",
"print(\"Downloading candles data...\")\n",
"\n",
"# Create CLOB data source\n",
"clob = CLOBDataSource()\n",
"\n",
"# Constants for data fetching\n",
"CONNECTOR_NAME_BINANCE = \"binance\"\n",
"CONNECTOR_NAME_HTX = \"kucoin\"\n",
"INTERVALS = [\"1m\", \"5m\", \"15m\"] # Fetch multiple intervals for testing\n",
"trading_pairs = ['ETH-USDT']\n",
"DAYS = 30\n",
"BATCH_CANDLES_REQUEST = 10\n",
"SLEEP_REQUEST = 0.5\n",
"\n",
"# Use async function to download candles\n",
"import asyncio\n",
"\n",
"async def download_candles():\n",
" # Download candles for both exchanges\n",
" print(\"Downloading Binance candles...\")\n",
" binance_candles = {}\n",
" for interval in INTERVALS:\n",
" binance_candles[interval] = await clob.get_candles_batch_last_days(\n",
" CONNECTOR_NAME_BINANCE,\n",
" trading_pairs,\n",
" interval,\n",
" DAYS,\n",
" BATCH_CANDLES_REQUEST,\n",
" SLEEP_REQUEST\n",
" )\n",
"\n",
" print(\"Downloading HTX candles...\")\n",
" htx_candles = {}\n",
" for interval in INTERVALS:\n",
" htx_candles[interval] = await clob.get_candles_batch_last_days(\n",
" CONNECTOR_NAME_HTX,\n",
" trading_pairs,\n",
" interval,\n",
" DAYS,\n",
" BATCH_CANDLES_REQUEST,\n",
" SLEEP_REQUEST\n",
" )\n",
"\n",
" return binance_candles, htx_candles\n",
"\n",
"# In Jupyter, we need to use a different approach since we're already in an event loop\n",
"# Get the current event loop\n",
"loop = asyncio.get_event_loop()\n",
"\n",
"# If using Jupyter, we can use nest_asyncio to allow nested event loops\n",
"try:\n",
" import nest_asyncio\n",
" nest_asyncio.apply()\n",
" # Now we can use the loop to run our function\n",
" binance_candles, htx_candles = loop.run_until_complete(download_candles())\n",
"except ImportError:\n",
" # If nest_asyncio is not installed, we'll try a different approach\n",
" try:\n",
" # Try using the current event loop directly\n",
" binance_candles, htx_candles = loop.run_until_complete(download_candles())\n",
" except RuntimeError:\n",
" # If that fails, suggest installation of nest_asyncio\n",
" print(\"Error: It appears you're running in a Jupyter notebook or another environment with an active event loop.\")\n",
" print(\"To resolve this, please install and import nest_asyncio with: !pip install nest_asyncio\")\n",
" print(\"Then add the following code at the beginning of your notebook:\")\n",
" print(\"import nest_asyncio\")\n",
" print(\"nest_asyncio.apply()\")\n",
"\n",
" # For now, use mock data for demonstration\n",
"# from unittest.mock import MagicMock\n",
"# binance_candles = {\"1m\": [MagicMock()]}\n",
"# htx_candles = {\"1m\": [MagicMock()]}\n",
"\n",
" # Set up mock data attributes\n",
"# binance_candles[\"1m\"][0].data = pd.DataFrame({\n",
"# 'timestamp': [pd.Timestamp.now() - pd.Timedelta(minutes=i) for i in range(100)],\n",
"# 'open': np.random.normal(2000, 50, 100),\n",
"# 'high': np.random.normal(2020, 50, 100),\n",
"# 'low': np.random.normal(1980, 50, 100),\n",
"# 'close': np.random.normal(2000, 50, 100),\n",
"# 'volume': np.random.normal(100, 20, 100)\n",
"# })\n",
"# htx_candles[\"1m\"][0].data = pd.DataFrame({\n",
"# 'timestamp': [pd.Timestamp.now() - pd.Timedelta(minutes=i) for i in range(100)],\n",
"# 'open': np.random.normal(2005, 50, 100),\n",
"# 'high': np.random.normal(2025, 50, 100),\n",
"# 'low': np.random.normal(1985, 50, 100),\n",
"# 'close': np.random.normal(2005, 50, 100),\n",
"# 'volume': np.random.normal(90, 20, 100)\n",
"# })\n",
"\n",
"# Save candles to cache\n",
"clob.dump_candles_cache(root_path)\n",
"\n",
"# Access the 1-minute candles for analysis\n",
"binance_1m_candles = binance_candles[\"1m\"][0]\n",
"htx_1m_candles = htx_candles[\"1m\"][0]\n",
"\n",
"# Display sample of candles data\n",
"print(\"\\nBinance 1m candles sample:\")\n",
"print(binance_1m_candles.data.head())\n",
"\n",
"print(\"\\nHTX 1m candles sample:\")\n",
"print(htx_1m_candles.data.head())\n",
"\n",
"# Get candles shape\n",
"print(f\"\\nBinance 1m candles shape: {binance_1m_candles.data.shape}\")\n",
"print(f\"HTX 1m candles shape: {htx_1m_candles.data.shape}\")\n",
"\n",
"# Convert timestamps to datetime for better visualization\n",
"binance_1m_candles.data['datetime'] = pd.to_datetime(binance_1m_candles.data['timestamp'], unit='ms')\n",
"htx_1m_candles.data['datetime'] = pd.to_datetime(htx_1m_candles.data['timestamp'], unit='ms')\n",
"\n",
"# Plot candles to ensure data looks reasonable\n",
"plt.figure(figsize=(15, 7))\n",
"plt.plot(binance_1m_candles.data['datetime'], binance_1m_candles.data['close'], label='Binance')\n",
"plt.plot(htx_1m_candles.data['datetime'], htx_1m_candles.data['close'], label='HTX')\n",
"plt.title('ETH-USDT Close Prices')\n",
"plt.xlabel('Time')\n",
"plt.ylabel('Price (USDT)')\n",
"plt.legend()\n",
"plt.grid(True)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "6152330b",
"metadata": {
"id": "6152330b"
},
"source": [
"## Test Cases"
]
},
{
"cell_type": "markdown",
"id": "26c09c71",
"metadata": {
"id": "26c09c71"
},
"source": [
"### 1. Bollinger Bands Calculation"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8f398cd5",
"metadata": {
"id": "8f398cd5",
"outputId": "dc66b744-00f1-43d0-c061-d593cf99b24c"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==================================================\n",
"TEST 1: Bollinger Bands Calculation\n",
"==================================================\n",
"Latest Bollinger Bands Width (BBW): 0.0041\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1500x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1500x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"## TEST 1: Bollinger Bands Calculation\n",
"print(\"\\n\" + \"=\"*50)\n",
"print(\"TEST 1: Bollinger Bands Calculation\")\n",
"print(\"=\"*50)\n",
"\n",
"def calculate_bollinger_bands(candles_df, bb_length=20, bb_std=2.0) -> Tuple[pd.DataFrame, Optional[float]]:\n",
" \"\"\"Calculate Bollinger Bands and Bollinger Bands Width (BBW)\"\"\"\n",
" df = candles_df.copy()\n",
"\n",
" if len(df) < bb_length:\n",
" print(f\"Not enough candles data. Required {bb_length}, got {len(df)}\")\n",
" return df, None\n",
"\n",
" # Calculate simple moving average\n",
" df['sma'] = df['close'].rolling(window=bb_length).mean()\n",
" # Calculate standard deviation\n",
" df['stdev'] = df['close'].rolling(window=bb_length).std()\n",
" # Calculate upper and lower bands\n",
" df['upper_band'] = df['sma'] + (df['stdev'] * bb_std)\n",
" df['lower_band'] = df['sma'] - (df['stdev'] * bb_std)\n",
" # Calculate BBW as percentage of price\n",
" df['bbw'] = (df['upper_band'] - df['lower_band']) / df['sma']\n",
"\n",
" # Get latest BBW value\n",
" last_bbw = df['bbw'].iloc[-1]\n",
"\n",
" return df, float(last_bbw)\n",
"\n",
"# Calculate Bollinger Bands for Binance candles\n",
"bb_df, bbw_value = calculate_bollinger_bands(binance_1m_candles.data,\n",
" config.bb_length,\n",
" config.bb_std)\n",
"\n",
"print(f\"Latest Bollinger Bands Width (BBW): {bbw_value:.4f}\")\n",
"\n",
"# Plot Bollinger Bands\n",
"plt.figure(figsize=(15, 7))\n",
"plt.plot(bb_df['datetime'], bb_df['close'], label='Close Price', color='blue')\n",
"plt.plot(bb_df['datetime'], bb_df['sma'], label='SMA', color='orange')\n",
"plt.plot(bb_df['datetime'], bb_df['upper_band'], label='Upper Band', color='green')\n",
"plt.plot(bb_df['datetime'], bb_df['lower_band'], label='Lower Band', color='red')\n",
"plt.title('Bollinger Bands for ETH-USDT')\n",
"plt.xlabel('Time')\n",
"plt.ylabel('Price (USDT)')\n",
"plt.legend()\n",
"plt.grid(True)\n",
"plt.show()\n",
"\n",
"# Plot Bollinger Bands Width\n",
"plt.figure(figsize=(15, 7))\n",
"plt.plot(bb_df['datetime'], bb_df['bbw'], label='BBW', color='purple')\n",
"plt.axhline(y=config.min_bbw_threshold, color='r', linestyle='-', label=f'Min Threshold ({config.min_bbw_threshold})')\n",
"plt.axhline(y=config.high_volatility_threshold, color='yellow', linestyle='-', label=f'High Vol Threshold ({config.high_volatility_threshold})')\n",
"plt.axhline(y=config.max_bbw_threshold, color='r', linestyle='-', label=f'Max Threshold ({config.max_bbw_threshold})')\n",
"plt.title('Bollinger Bands Width (BBW) for ETH-USDT')\n",
"plt.xlabel('Time')\n",
"plt.ylabel('BBW (% of price)')\n",
"plt.legend()\n",
"plt.grid(True)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "d1fbe555",
"metadata": {
"id": "d1fbe555"
},
"source": [
"### 2. Market Condition Determination"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2b6c4549",
"metadata": {
"id": "2b6c4549",
"outputId": "e45ed25e-23d5-4a2a-df8c-258d421e3470"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==================================================\n",
"TEST 2: Market Condition Determination\n",
"==================================================\n",
"Market Condition Counts:\n",
"market_condition\n",
"EXTREME_VOL 42868\n",
"NORMAL 332\n",
"Name: count, dtype: int64\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1500x1000 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"## TEST 2: Market Condition Determination\n",
"print(\"\\n\" + \"=\"*50)\n",
"print(\"TEST 2: Market Condition Determination\")\n",
"print(\"=\"*50)\n",
"\n",
"def determine_market_condition(bbw, min_bbw_threshold, max_bbw_threshold, high_volatility_threshold):\n",
" \"\"\"Determine market condition based on BBW\"\"\"\n",
" if bbw < min_bbw_threshold or bbw > max_bbw_threshold:\n",
" return \"EXTREME_VOL\" # Extremely low or high volatility - potential breakout\n",
" elif bbw > high_volatility_threshold:\n",
" return \"HIGH_VOL\" # High volatility - widen spreads\n",
" else:\n",
" return \"NORMAL\" # Normal market conditions\n",
"\n",
"# Create a series of market conditions based on Bollinger Bands Width\n",
"bb_df['market_condition'] = bb_df['bbw'].apply(\n",
" lambda x: determine_market_condition(\n",
" x,\n",
" config.min_bbw_threshold,\n",
" config.max_bbw_threshold,\n",
" config.high_volatility_threshold\n",
" )\n",
")\n",
"\n",
"# Count occurrences of each market condition\n",
"market_condition_counts = bb_df['market_condition'].value_counts()\n",
"print(\"Market Condition Counts:\")\n",
"print(market_condition_counts)\n",
"\n",
"# Plot market conditions\n",
"plt.figure(figsize=(15, 10))\n",
"\n",
"# Plot 1: BBW with thresholds\n",
"#plt.subplot(2, 1, 1)\n",
"#plt.plot(bb_df['datetime'], bb_df['bbw'], label='BBW', color='purple')\n",
"#plt.axhline(y=config.min_bbw_threshold, color='r', linestyle='-', label=f'Min Threshold ({config.min_bbw_threshold})')\n",
"#plt.axhline(y=config.high_volatility_threshold, color='yellow', linestyle='-', label=f'High Vol Threshold ({config.high_volatility_threshold})')\n",
"#plt.axhline(y=config.max_bbw_threshold, color='r', linestyle='-', label=f'Max Threshold ({config.max_bbw_threshold})')\n",
"#plt.title('Bollinger Bands Width (BBW)')\n",
"#plt.xlabel('Time')\n",
"#plt.ylabel('BBW (% of price)')\n",
"#plt.legend()\n",
"#plt.grid(True)\n",
"\n",
"# Plot 2: Market conditions\n",
"plt.subplot(2, 1, 2)\n",
"# Create a numerical representation of market conditions for plotting\n",
"market_condition_map = {'NORMAL': 0, 'HIGH_VOL': 1, 'EXTREME_VOL': 2}\n",
"bb_df['market_condition_num'] = bb_df['market_condition'].map(market_condition_map)\n",
"\n",
"plt.scatter(bb_df['datetime'], bb_df['market_condition_num'], c=bb_df['market_condition_num'], cmap='viridis')\n",
"plt.yticks([0, 1, 2], ['NORMAL', 'HIGH_VOL', 'EXTREME_VOL'])\n",
"plt.title('Market Conditions Based on BBW')\n",
"plt.xlabel('Time')\n",
"plt.ylabel('Market Condition')\n",
"plt.grid(True)\n",
"\n",
"#plt.tight_layout()\n",
"plt.show()\n",
"\n",
"# Create a pie chart of market conditions\n",
"plt.figure(figsize=(10, 7))\n",
"market_condition_counts.plot.pie(autopct='%1.1f%%', colors=['green', 'yellow', 'red'])\n",
"plt.title('Distribution of Market Conditions')\n",
"plt.ylabel('')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "e1b3bddd",
"metadata": {
"id": "e1b3bddd"
},
"source": [
"### 3. Inventory Skew Calculation\n",
"\n",
"This test ensures that your XEMM strategy dynamically and smoothly adjusts buy/sell aggressiveness to keep your base asset inventory balanced around a 50% target.\n",
"\n",
"Plot of buy and sell multipliers depending on Current Base % Inventory.\n",
"\n",
"| Inventory | Buy Multiplier | Sell Multiplier | Meaning |\n",
"|-------------------|----------------|-----------------|-------------------------------|\n",
"| 0% base asset | 1.75 | 0.25 | You strongly prioritize buying |\n",
"| 50% base asset | 1.00 | 1.00 | Neutral: equal buy and sell |\n",
"| 100% base asset | 0.25 | 1.75 | You strongly prioritize selling |\n",
"\n",
"Buy Multiplier = How aggressive you are with buying.\n",
"Sell Multiplier = How aggressive you are with selling.\n",
"\n",
"How does it work in your plot?\n",
"\t•\tWhen your base asset inventory is low (0%), you buy more (Buy multiplier is high, Sell multiplier is low).\n",
"\t•\tWhen you are perfectly balanced (50%), you treat buy/sell equally (both multipliers = 1).\n",
"\t•\tWhen your base inventory is high (100%), you sell more (Sell multiplier is high, Buy multiplier is low)."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "91d8f25a",
"metadata": {
"id": "91d8f25a",
"outputId": "eef972f6-6d62-484a-ed73-8f04aa771bf3"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==================================================\n",
"TEST 3: Inventory Skew Calculation\n",
"==================================================\n",
"Current Base %: 0.0% | Buy Multiplier: 1.7500 | Sell Multiplier: 0.2500\n",
"Current Base %: 10.0% | Buy Multiplier: 1.6000 | Sell Multiplier: 0.4000\n",
"Current Base %: 20.0% | Buy Multiplier: 1.4500 | Sell Multiplier: 0.5500\n",
"Current Base %: 30.0% | Buy Multiplier: 1.3000 | Sell Multiplier: 0.7000\n",
"Current Base %: 40.0% | Buy Multiplier: 1.1500 | Sell Multiplier: 0.8500\n",
"Current Base %: 50.0% | Buy Multiplier: 1.0000 | Sell Multiplier: 1.0000\n",
"Current Base %: 60.0% | Buy Multiplier: 0.8500 | Sell Multiplier: 1.1500\n",
"Current Base %: 70.0% | Buy Multiplier: 0.7000 | Sell Multiplier: 1.3000\n",
"Current Base %: 80.0% | Buy Multiplier: 0.5500 | Sell Multiplier: 1.4500\n",
"Current Base %: 90.0% | Buy Multiplier: 0.4000 | Sell Multiplier: 1.6000\n",
"Current Base %: 100.0% | Buy Multiplier: 0.2500 | Sell Multiplier: 1.7500\n"
]
},
{
"data": {
"image/png": 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cQrqDg4NqpykfcFR08RglU8djNA8lJADvvaddfustwNHR2C0qFHiMkqnjMUqmLsnMjlFDplwbtXBcUFAQunfvrsblS2PXrFnz2McsWbIEdevWVd+I8uXLY9CgQbh+/XqBtJeIiIiIiIgoPxk1pCckJKjAPXPmTIPuv2PHDvTr1w+DBw/GiRMnsHz5cuzduxdDhw7N97YSERERERER5TejDnfv2rWr2gy1a9cuVK5cGaNHj1bXvby88Oabb+Kbb77Jx1YSERERERERFQyzmpPevHlz/Pe//8W6detUuL9y5QpWrFiBZ555JsfH3Lt3T20ZJ+zr5y7IZsr07TP1dlLRxWOUTB2P0TyUlAT9TD/1efIzzRM8RsnU8RglU5dkJsdobtpnoZMF20yAzElfvXo1evbs+cj7yRB3mYeemJiIBw8eqDntK1euzLFIwCeffIIJEyY8tH/p0qVqXjsRERE9nlViIp595RV1+a/ffkOyvb2xm0RERGQ27ty5gz59+uDWrVuPLWBuViH95MmT6NChA9555x107twZFy9exHvvvYfGjRvjp59+MrgnXUrfX7t2zSyqu2/cuBEdO3Y0i0qFVPTwGCVTx2M0DyUkwKZkSXUx6cYNVnfPIzxGydTxGCVTl2Qmx6jkUFdXV4NCulkNd//qq6/QsmVLFcxFnTp14OjoCH9/f3z++eeq2ntWdnZ2astKvoGm/E0017ZS0cRjlEwdj9E84OQE/PWXumgjl63N6k8Ik8djlEwdj1EydTYmfozmpm3W5jZEwDrLHwVWVlbqq4kMCCAiIiqc5Pdvt27GbgUREVGhZ9Ql2OLj43H48GG1iYiICHX5/Pnz6voHH3ygllzTk/nnq1atwuzZsxEeHq6WZJNK702aNFFrrRMRERERERGZM6P2pO/fvx9t27ZNuz527Fj1tX///liwYIGac64P7GLAgAG4ffs2ZsyYgf/85z8oUaIE2rVrxyXYiIiI8ptUpV2yRLvct6+M2zN2i4iIiAolo4b0gICARw5Tl6Ce1ahRo9RGREREBej+fWDgQO3ySy8xpBMRERXG4e5ERERERERElI4hnYiIiIiIiMhEMKSbqOQUHfZExOLANQv1Va4TERERERFRqpRkWERuR4XYXeqrXC8MzGoJtqJi/fGLmLD2JC7eSpRF5rAwZD/Ku9jj4+410KXWw2vBExERERERFSkn/wTWj4d1XAwayfXI2YCzO9DlG6BGD5gz9qSbYEB/a/HB1ICe7tKtRLVfbiciIiIiIirSAX1ZPyAuJvP+uIvafrndjDGkmxAZ0i496NkNbNfvk9s59J2IiIiIiIqklGTVg56ekDJK3bf+fbMe+s6QbkL2RsQ+1IOe9ZCT2+V+REREBcrODli2TNvkMhERkTFE7ny4Bz0THRAXrd3PTHFOugm5cjsxT+9HRESUZ6yttfXRiYiIjCnmsGH3i78Mc8WedBPiVtzeoPttOH6JQZ2IiIiIiIqOK6eBFYOAjf9n2P2dysJcsSfdhDTxKqWquEuRuEfNOl93/BI2n76Cvk09MayNN9ycDQv3RERET+zBA2D1au1yr15azzoREVF+u3IKCJwInJDfQakpydoeeJBTp6WFVuXdswXMFXvSTYiVpYVaZk1YZLnNInUb2dYH9TxK4N6DFPy8IwL+E7fikz9P4HIce9aJiCgf3bsH9O6tbXKZiIgoP10+CSzrD8xqDpxYpQX0as8CbwYDz8/LkJAySr3e5WvA0grmiiHdxMg66LNfa4ByLpl7x+W67H+3czWsHt4CvwxqggaVtLC+YOe5tLAuvfBERERERERm6fIJbRm12c2Bk2u0cF69OzBsO/DKEqB8HW0d9N4LAefymR8rPeiy38zXSedYNRMN6h1rlMOu0Cv4N3gPOvk3RXNfN9XTLiwsLNCmShm09nPF9tBrmLopBPsjb6iwvnTPebzSxANvBfigvEsxY78VIiIiIiKix7t0DAj8Bji1Nn1fjeeA1uOAcrUevr8E8Wrd8CA8CIeDN6Cef2dYe7c26x50PYZ0EyWBvKlXKVw/pVNf9QE9Iwnr/n5l0MrXFTvDrmPKprPYd+4GFu6KxG97o9C7cUUMD/CFewmGdSIiIiIiMkEXj2hzzk//lbrDAqjZUwvnZbWpwDmytILOsxWiT8ShrmerQhHQBUN6ISBhvaWvK1r4lMYuCeubQ9Ra6ot3n8fv+6LQu5EHhrf1RQWGdSIiIiIiMpWl1CScn/k7QzjvBbQZB7hVR1HGkF7IwnoLCeu+riqsT918FrvDY7Fkz3ks2x+FFxt6YERbH1Qs6WDsphIRERERUVEUcwjY9g1w9p/UHRZArReA1u8BbtWM3DjTwJBeSDX3KY3mPs2xO/y6mrO+K/w6ft17Hsv3R+GlRtoweI9SDOtERERERFQAog9o4Txkg3bdwhKo9aIWzstUMXbrTApDeiHXzLs0mr1RWg1/l571HaES1qOwfP8FvNCgIka09UWl0gzrRET0GLa2wPz56ZeJiIgMceEAEPg1EPJvejiv/ZIWzl39jN06k8SQXkQ08SqFJUOaYf85CeshCA65ht/3R2HFwQt4vn4FjGznC8/SjsZuJhERmSobG2DAAGO3goiIzEXUPi2ch25KD+d1Xgb83wVcfY3dOpPGkF7ENKpcCosGN8WByFhM2aSF9eUHLmDVoWj0krDe1heVXRnWiYiIiIjoCZzfo4XzsC3adQsroO4rgP9/gNI+xm6dWWBIL6IaeurD+g1M2xyCwLNXseLABaw+FI3n6rljVDs/eDGsExGR3oMHwIbUeYSdOwPW/BOCiIgyOL8b2PY1EL41Qzh/FWj9H6CUt7FbZ1b4G7aIa+hZEr8MaoJD57WwvvXMVaw6GI01Kqxrw+B9yjgZu5lERGRs9+4Bzz6rXY6PZ0gnIiJN5E4tnEcEatctrbVwLj3npbyM3TqzxN+wpNSvVBLzBzbB4aibKqxvOX1F9ar/cTgaPeq6Y2Q7P/i6MawTERERERGAc9u1cH4uOD2c1+sL+I8FSlY2duvMGkM6ZVLPowR+HtAYRy9oYX3TqStYczgGfxyJQfc67hjd3he+bsWN3UwiIiIiIjKGiGAg8JsM4dwGqN8XaCXh3NPYrSsUGNIpW3UqlsCP/RvjePQtVQ1+48nL+PNIDNYejUG32uUxur0fqpRlWCciIiIiKvR0Oi2US8955I70cN7gdS2cl/AwdgsLFYZ0eqRaFVwwr18jFdalZ/3fk5fx19GL+PvYRTwjYb2dH6qWY1gnIiIiIiqU4Vzmmm/7Bji/U9tnZQs06Ae0egdwqWjsFhZKDOlkcFif268RTsTcwvTNoVh/4hL+lrB+VMJ6OdWzXq2cs7GbSUREREREeRHOpUq7hPOo3RnCef/UcF7B2C0s1BjSKVdqurtgzusNcepiHKZvCcG6Y5fSti41tbBew51hnYiIiIjILMO5rG8uw9ov7NX2WdkBDQcArd4GnN2N3cIigSGdnkj18s6Y1bchTl+KUz3r645fVL3rsnWuWVaFdQn0RERUSNjaAjNmpF8mIqLCFc5DNwOBEs73afus7bVw3lLCeXljt7BIYUinpyJD3Gf2bYCzl2+rOesyV33Dictq61ijLMa091ND5YmIyMzZ2AAjRhi7FURElNfhPGSjVq09en96OG80CGg5BiheztgtLJIY0ilPSKX3GX0aYMzl25i+JVRVgZeK8LJ1qO6GMe2roHZFhnUiIiIiItMI5/9qw9pjDmr7rIsBjQcDLUYDxcsau4VFGkM65Sm/ssUx7dX6aj11FdaPxKi11mVrX80NYzr4qeXdiIjIzCQnA8Gpa+L6+wNWVsZuERERPUk4P7te6zmPOZQ5nEvPuZObsVtIDOmUX3zdimPqKxLW/TBjSyj+OByNzaevqK1t1TIY06EK6nkwrBMRmY3ERKBtW+1yfDzg6GjsFhERUW7C+Zl/tDnnF49o+2wcgMZDtJ5zpzLGbiFlwJBO+cqnjBMmv1wPo9r5YsbWUKw5FI2tZ66qLUDCens/1K9U0tjNJCIiIiIqnOH89N9az/mlo9o+G0egyVCgxSjA0dXYLaRsMKRTgfAu44Tve0tY13rW1xyOxrYzV9XWuooW1ht6MqwTERERET21lBTg9F9A4ETg8jFtn62TFs6bSzgvbewW0iMwpFOB8nJ1xHe966o56xLWVx2KRtDZq2rz93NVYb1R5VLGbiYRERERkZmG87Wp4fy4ts+2OND0DaD5SMCBf2ebA4Z0MgrP0o6Y9FJd1bM+c2soVh68gOCQa2pr5euqCsw1ZlgnIiIiIjIsnJ/6QwvnV06mh/Nmw4BmwxnOzQxDOhlVpdIO+ObFOhjZzleF9RUHLmB76DW1tfAprXrWm3pzOA4RERER0UNSkoGTa4DAScDVU9o+O2eg2VvaVozTSc0RQzqZBI9SDvj6hToY0dYXs7aFYcWBKOwMu662Zt6l1DrrzX0Y1omIiIiIVDg/sVrrOb92Rttn55IazocxnJs5hnQyubD+1fO1MaKtD2ZvC8Oy/VHYHR6L3eG70dSrlBoG39y7NCwsLIzdVCKiosXGBpg4Mf0yEREZJ5wfXwUESTg/q+2zl3A+Amj6JlCMSxwXBgzpZJIqlnTAF71qY3hbX8zeFopl+y5gT0Qs+szbgyaVtbAuw+EZ1omICoitLfDee8ZuBRFR0ZT8ADi+EgiaBFwP0fbZlwCap4ZzCepUaDCkk0mrUKIYPu8pPesS1sPw294o7D0Xi74/7kEjz5J4u0MVtPRlWCciIiKiwhrOV2jD2mPDtH0ylF3CeRMJ587GbiHlA4Z0MgvlXYrh0+dq4a0AH8zZFoZf90Vhf+QNvPbTHrW+uhSYkyXcGNaJiPJJcjJw8KB2uUEDwMrK2C0iIirc4fzYMq3nPDZc21esFNBiJNDkDcCuuLFbSPmIIZ3MLqxPeK5W6jD4MPy69zwORN5Av5/3on6lEiqst6lShmGdiCivJSYCTZpol+PjAUdHY7eIiKjwSU4Cjv4OBH0L3IjIEM5HAU2GMpwXEQzpZJbKOtvjkx41MVx61gPDsWRPJA6dv4kB8/ehnkcJNWc9IENYT07RYW9ELK7cToRbcXs08SoFK0sGeSIiIiIq4MJvkTuB+MuAU1nAswVgaaWF8yO/AcESzs9p93UoDbQYDTQeAtg5GbvlVFRCelBQECZNmoQDBw7g4sWLWL16NXr27PnIx9y7dw+ffvopFi9ejEuXLqF8+fL46KOPMGjQoAJrN5kON2d7fNS9BoYFeOOH1LB+OOomBs7fh7oVXVRYv5eUgk//OomLtxLTHlfexR4fd6+BLrXKG7X9RERERFREnPwTWD8eiItJ31fcHajaFQjdBNyM1PY5lkkN54MBW45aKoqMGtITEhJQt25dFbCff/55gx7Tu3dvXL58GT/99BN8fX1VuE9JScn3tpJpk97xD5+tgWFtfDA3KAyLdkfiyIVbGLRgf7b3v3QrEW8tPojZrzVgUCciIiKi/A/oy/oB0GXefzsG2P9TejhvOQZoNIjhvIgzakjv2rWr2gy1fv16BAYGIjw8HKVKlVL7KleunI8tJHNTprgd/tetBt5s44MfAsMwLzh1Lk8W8uNRBrtPWHsSHWuU49B3IiIiIsq/Ie7Sg541oGckS6iNOgTYc845mdmc9D///BONGjXCxIkTsWjRIjg6OqJHjx747LPPUKxYsRyHx8umFxcXp74mJSWpzZTp22fq7TRFLnaWaONXOseQjtQfkzIEflfoFTT10k76UO7wGCVTx2M0DyUlwSbtYpK6Tk+PxyiZOh6jT88icjusMw5xz07iLTy4sB86z1YF1axCI8lMjtHctM+sQrr0oG/fvh329vZq/vq1a9cwfPhwXL9+HfPnz8/2MV999RUmTJjw0P5///0XDg4OMAcbN240dhPM0oFr0jv++CWCNgTtwfVTjzizSY/FY5RMHY/Rp2eVmIhnUy9v2LAByfb2Rm5R4cJjlEwdj9EnY5mShDpRC+BpwH0PB29A9AmtQ5EK3zF6584dg+9rodPpTCKdSBXuxxWO69SpE4KDg1XBOBcXF7Vv1apVePHFF9X89ux607PrSffw8FAB39nZGaZ+tkUOto4dO8LGRt9/QYbaExGL137Ofk56Rh4l7TGuc1V0qu4GSw57zxUeo2TqeIzmofv3Yfn11+piyvvvA7a2xm5RocBjlEwdj9En9CARlocWw3LXVFjcvmjYQ15bw570QnyMxsXFwdXVFbdu3XpsDjWrnnSp5F6hQoW0gC6qV68OOc9w4cIF+Pn5PfQYOzs7tWUl30BT/iaaa1tNSXNfN1XFXYrE5XQmSiJ51I1EjPrtCKqWLY7R7f3QtVY5hvVc4jFKpo7HaB6Qz++zz9TFx49RotziMUqmjseogZLuAgd+AXZMAfThXCq4JyUAidJLnt1fpRaAszusvVtry7FRoTxGc9M2S5iRli1bIiYmBvHx8Wn7zp49C0tLS1SsWNGobSPTI8XgZJk1kTVyW6Ru375UB6Pb+aK4nTXOXL6NEUsPosvUIPx1NAYpKSYxyISIiIiIzCGc754NTK2nFYmTgO5cEej2HTDmMNBjRuods/urFECXrxnQyTRCuoTtw4cPq01ERESoy+fPn1fXP/jgA/TrJ0sVaPr06YPSpUtj4MCBOHnypFpn/b333lNLuOVUOI6KNlleTZZZK+eSee6kXJf9LzT0wNhOVbF9fDuMae+H4vbWOHs5HiOXHkLnKUH480gMkhnWiYgAWe70xAlt49KnRESa+3eAXTOBqXWB9e8D8ZcAFw/g2cnA6INA4yGAtR1QowfQeyHgnGXpX2d3bb/cTmQKw93379+Ptm3bpl0fO3as+tq/f38sWLBArYGuD+zCyclJzTcYNWqUqvIugV3WTf/888+N0n4yn6Auy6ztjYjFlduJak31Jl6lMi275uJgg3c6VsGgVl6YvyMCP2+PQMiVeIz+9RCmbjqrhsE/W8edS7URUdF19y5Qq5Z2WUa0OXINXyIqwu4nAPt/BnZMAxKuaPtcKgGt/wPU7QNYZ1O3Q4J4tW5A5E4g/jLgVBbwbMEedDKtkB4QEKDmk+dEgnpW1apVM/nKfWR6JFw39yn92Pu5FLPB2x20sL5gxzn8tD0CYVcTMOa3w5i6OQSj2/mhe12GdSIiIqIiG873/QTslHB+VdtXohLg/y5Q99Xsw3lGEsi9/AukqWS+zKpwHFFBcba3Ub3nA1tWxi87z+HH7REIv5qAt38/jGmbQzCynS961HWHtZVZlXUgIiIioidxLx7Y9yOwczpw55q2r2Tl1HD+CmBlugXLyPwwpBM9QnF7G4xs54f+LSpj4a5IzAsOR/i1BIxddgTTt4RiRFtf9KzHsE5ERERUKN27DeydB+yaAdy5ru0r6QW0fg+o05vhnPIFQzqRgWFdArkW1s9hXlA4Iq4l4N3lEtZDMLKtL3rVr8CwTkRERFRowvlcYOcM4G6stq+UtxbOa0s4Z4yi/MOjiygXnOysMTzAF/2bV8ai3ZGYGxSOyOt38N6Ko6pnXYX1BhVgw7BOREREZH5kLfO9P2gV2+/e0PaV9tXCea0XGc6pQPAoI3oCjnbWGNbGB68388Ti1LB+PvYOxq08iulbQzAiwBcvNKzIsE5ERERkDhJvAXtSw3niTW1faT+gzTig1guswE4FiiGd6CnD+psS1pt7Ysnu8/ghKAxRsXfx/qpjWs96O1+80KAibK0Z1onIzNnYAO++m36ZiKgwuHtTC+e7JZzf0va5VgFaSzh/nuGcjIIhnSgPONhaY2hrb7zWzBNL9kRiTmA4om/exQerjmHGllAMb+uDlxp6MKwTkfmytQUmTTJ2K4iI8i6c756tbfdSw3mZatqw9pq9GM7JqBjSifJQMVsrDPH3Rt+mnli69zzmBIapsP6/1ccxc0so3mrri96NKsLOmj/4iYiIiAqczDPfNQvYMwe4F6ftK1NdG9ZeoydgyQ4VMj6GdKJ8CuuDW3mhb9NK+HXveczeFoaYW4n4cM1xzNoaiuEBPujd2INhnYjMR0oKcP68drlSJf4hS0Tm5U4ssFvC+Q/p4dythhbOqz/Hn2lkUhjSifKRvY0VBrb0wqtNKuH3fVEqrF+UsP7HCczcGoa3AnzwcmMPdT8iIpN29y7g5aVdjo8HHB2N3SIiIsPCuaxxvmcucP+2tq9sLS2cV+vOcE4miSGdqABICJc11iWQL9sfhVlbw3ApLhEf/3kCs7aF4q02PnilSSWGdSIiIqK8kHAd2DUd2DsPuB+v7StbGwgYD1TtxnBOJo0hnagASQjv11wf1i9g9tZQNQz+k7UnMWtbmFrWrU9ThnUiIiKiJ5JwDdiZGs6TErR95WoDbd4Hqj7DcE5mgSGdyAhkLrqssS5F5FYcuKB61qXA3Kd/ncTswDC82VorPidz24mIiIjoMeKvAjunAft+yhDO6wABHwBVuwIWFsZuIZHBGNKJjBzWJYzL8mwS1mduDVVh/fO/T6ll3Ia1YVgnIiIiylH8FWDHVGD/z0DSHW1f+XpAwPtAlS4M52SWGNKJTICsny7D3F9sWBGrDl7AjK2huHBDH9bD8EbqGuyyHjsRERFRkXf7cnrP+YO72j73Blo49+vEcE5mjX/xE5lYWJcCci80rIjVB6MxfWsIomLv4st1p/FDYDiGtvZWw+Qd7fhfl4iIiIqg25fSe84fJGr7KjTUhrX7dmA4p0KBf+kTmSAbK0u1jnqvBhWw+lC0GgYfef0Ovv7nNOYGhWOovzf6NWdYJ6ICZG0NDB+efpmIqCDFXQR2TAEOLEgP5xUbawXhfNsznFOhwt+yRKYe1ht54Pn6FbDmcAxmbAnBuet38M16CethGOLvrZZ2c2JYJ6L8ZmcHzJxp7FYQUVETFwNsTw3nyfe0fR5NgTbjAZ92DOdUKPEveyIzYG1lqear96znjj+PxGD6llBEXEvApA1nMC84HENaeamwXtzexthNJSIiInp6t6KB7ZOBg78Ayfe1fR7NtDnn3gEM51SoMaQTmVlYf75BRfSo6461R2MwfXMowq8l4Nt/z2JecIQW1ltWhjPDOhHlNZ0OuHZNu+zqyj+QiSh/3LoABH8PHFqUHs4rtQACxgNebfizh4oEhnQiMw3rvepLWK+Av47GYNrmEIRdTcB3GyWsh2NwK28MbMWwTkR56M4dwM1NuxwfDzg6GrtFRFSY3IwCtn8PHFwEpCRp+zxbaeG8sj/DORUpDOlEZszK0gLP1auAZ+u44+9jF1VYD70Sj8mbzuLH7eEY1NILg1p5waUYwzoRERGZoJvngeDvgENL0sO5hHKZc+7lb+zWERkFQzpRIQnrMgS+W+3yWJca1kOuxGPq5hD8vCMCA1t6YXBLL7g4MKwTERGRCbgRqYXzwxLOH2j7vFpr1dortzR264iMiiGdqJCF9e6pYf2f45dUWD9z+bb6On97BAa0rIzBrbxQwsHW2E0lIiKioig2QgvnR37NEM7baAXhPFsYu3VEJoEhnagQsrS0QLc65dG1VjlsOHFJ9aifvnRbVYWfv+McBrTQwnpJR4Z1IiIiKgCx4UBQajjXJWv7vNtq4bxSM2O3jsikMKQTFfKw3rV2eXSuWQ7/npSwHopTF+MwY6uE9Qi1bJustV6KYZ2IiIjyw/Ww1J7z39LDuU97LZx7NDF264hMEkM6UREJ611qlUenGuWw8dRlTN0UgpMX4zBrWxgW7DyHfs0rY6i/F0o72Rm7qURERFRYwnnQJODosvRw7ttBm3Pu0djYrSMyaQzpREUsrEuveqcaZbHp1BVM2XQWJ2LiMCcwDAt3ncPrzT3xhr83wzoRPczaGujfP/0yEVF2roVo4fzYckCXou3z66SF84oNjd06IrPA37JERZCFhQU61iiLDtXdsPnUFTVn/Vj0LfwQGI6FOyO1sN7aG64M60SkZ2cHLFhg7FYQkam6elYL58dXpIfzKl2ANuOACgznRLnBkE5UxMN6hxpl0b66G7aeuaKGwR+5cAtzg8JVz/prTT3xRhtvuBW3N3ZTiYiIyBRdPQMETgSOrwSg0/ZV6ZoazhsYu3VEZokhnYhUWG9XrSzaVnXDtrNXMUXCetRN/Lg9Aov3RKJvU0+8mSWsJ6fosCciFgeuWaB0RCya+7qpJeCIqJDS6YA7d7TLDg7yg8PYLSKi/JaSDIvI7agQuwsWkc6Ad2vA0kq77copLZyfWJ0ezqt208K5ez2jNpvI3DGkE1GmsC5BPaBKGQSevaqGwR86fxM/SVjfHYk+TSvhrTY+OHj+BiasPYmLtxJldXYsDNmP8i72+Lh7DVWgjogKIQnoTk7a5fh4wNHR2C0iovx08k9g/XhYx8WgkVyPnA04uwPNRwEX9gIn1qSH82rPAm3GA+XrGLnRRIUDQzoRZRvWA6q6oU2VMggOuabC+oHIG2qN9UW7IvEgJfWXcgaXbiXircUHMfu1BgzqRERE5h7Ql/VLD+F6cTHAhg/Sr1fvroXzcrULvIlEhRlDOhE9Mqy3rlIG/n6u2B56DVM2nsWB8zezva/8GpfBr9LD3rFGOQ59JyIiMkcpyaoH/aGAnpF1MWDQBsC9bkG2jKjIsDR2A4jIPMK6v18ZvNu56iPvJ7/OZQj83ojYAmsbERER5aHInVqP+aM8uAvciyuoFhEVOQzpRGSwK7fvGXg/matOREREZidqj2H3i7+c3y0hKrIY0onIYIYuxfbnkRhcuJFaBZqIiIhMX8whYOkrwJbPDLu/U9n8bhFRkcU56URksCZepVQVdykS94iZath86gqCzl7Fiw0rYniALzxKORRgK4mIiMhg0QeBwG+As+tTd1gANvZA0t0cHmChVXn3bFGAjSQqWtiTTkQGk2JwssyayFoWziJ1+0/HKmjpWxpJyTr8ujcKbb/dhvdXHkVULHvWicyalRXw4ovaJpeJyLxdOAAseQmY11YL6BaWQJ2XgZH7gF5zM/xmzyj1epev09dLJ6I8x550IsoVWV5NlllLXyddUy7DOumj4If952LV0m2yhNtv+6Kw4sAFPN+gAka29UOl0uxZJzI79vbA8uXGbgURPa2ofUDg10DoJu26Ppz7vwu4+mr7XP2A3gu1Ku8Zi8hJD7oE9Bo9jNN2oiKCIZ2Ick2CuCyztiv0Cv4N3oNO/k3R3Nct07JrjSqXwqLBTdX66hLWZfj7sv0XsPJgNHrVl7Dui8qujkZ9H0REREVG1F5g29dA2GbtuoUVUPcVwP8/QGmfh+8vQbxaNzwID8Lh4A2o598Z1t6t2YNOVAAY0onoiUggb+pVCtdP6dTXnNZFb+hZEgsHNcHB8zcwdVMIAs9eVb3qqw9Fo2e9ChjZzhdeDOtERET54/xuLZyHb80Qzl8FWv8HKOX96MdaWkHn2QrRJ+JQ17MVAzpRAWFIJ6IC0aBSSfwyqAkOnb+BaZtDsPXMVaw8KGH9QlpY9y7jZOxmElFOEhIAp9T/o/HxgCNPrhGZ/HrnEs4jArXrltZaOJee81Jexm4dET0CQzoRFaj6lUpi/sAmOBJ1U4X1zaevYNWhaKw5HI0edd0xsp0ffN0Y1omIiJ7IuR3anPOIoPRwXq+PFs5LVjZ264jIAAzpRGQUdT1K4KcBjXH0ghbWN526gjWHY/DHkRgV1ke184WvW3FjN5OIiMg8RARrS6mdC9auW9oA9fsCrcYCJT2N3ToiMpcl2IKCgtC9e3e4u7vDwsICa9asMfixO3bsgLW1NerVq5evbSSi/FWnYgn82L8x/hrVCh1rlIVOB/xxOAYdJwdh1K+HEHL5trGbSEREZJrkl6b0mM/vBvzyrBbQJZw3GgSMPgh0n8qATmSGjBrSExISULduXcycOTNXj7t58yb69euH9u3b51vbiKhg1arggnn9GuHv0a3QuaYW1tceiUGnKUEYsfQgzlxiWCciIlLkl2T4NmD+M8Av3YHI7YCVLdBoMDD6EPDsZKBEJWO3kojMcbh7165d1ZZbw4YNQ58+fWBlZZWr3nciMn013V3ww+uNcDImTg2DX3/iEv4+elFt3WqXx6j2vqhWztnYzSQiIjJeOJeCcFG7tX0Szhv0B1q9A7hUMHYLiagozkmfP38+wsPDsXjxYnz++eePvf+9e/fUphcXF6e+JiUlqc2U6dtn6u2kois/j1G/MsUw/ZU6OH3JCzO3hWP9icv4+9hFtXWu4YaRbX1QrRznrNOj8edoHkpKgk3axSR1nZ4ej1EyiE4Hi4htsAyeBMsLe7VdVnZIqf86UpqPBpzdtfvlw3HEY5RMXZKZHKO5aZ9ZhfSQkBC8//77CA4OVvPRDfHVV19hwoQJD+3/999/4eDgAHOwceNGYzeByKjHaFdnoG4dYEO0JY5ct8CGk1fUVqdUCjpXTEFFrgRFj8Gfo0/P8v59NG7YUF3et3EjUmxtjd2kQoXHKGVLp4Pb7WOoenE1St0JU7uSLWxwzrUtQst2Q2JySWD7YQCy5S8eo2TqNpr4MXrnzp3CF9KTk5PVEHcJ3FWqVDH4cR988AHGjh2bqSfdw8MDnTp1grOzs8mfbZGDrWPHjrCx0fdfEBXdY3SInKy7HK961teduISjsZZq61jdDSMCvFHT3bT/T1PB48/RPNazp/rSxdjtKER4jFKOPedhm7We85gD2i5re6Q06I+UZqNQqXg5FNSMcx6jZOqSzOQY1Y/oLlQh/fbt29i/fz8OHTqEkSNHqn0pKSnQ6XSqV116xtu1a/fQ4+zs7NSWlXwDTfmbaK5tpaKpII/RGhVLYuZrDVXV9+lbQrH2aAw2nrqitg7Vy2JMez/UruhSIG0h88Gfo2TqeIxS2pzzkH+1OecxB7V91sVUtXaLlmNgVbwsrIzUNB6jZOpsTPwYzU3bzCakS6/3sWPHMu2bNWsWtmzZghUrVsDLy8tobSOigudXtjimvVofo9v7amH9SAw2nbqstvbV3DCmg59a3o2IiMgswvnZ9do65zGH0sN548FAyzGAk5uxW0hEBcioIT0+Ph6hoaFp1yMiInD48GGUKlUKlSpVUkPVo6OjsXDhQlhaWqJWrVqZHu/m5gZ7e/uH9hNR0eHrVhxTX5Gw7ocZW0Lxx+FobD59RW1tq5bBmA5VUM+DYZ3oqSUkyC9e7fKVK4Aji0EQ5Uk4P/MPEPg1cPGIts/GAWg8BGgxGnAqY+wWElFRC+kyfL1t27Zp1/Vzx/v3748FCxbg4sWLOH/+vBFbSETmwqeMEya/XA+j2vlixtZQrDkUja1nrqotQMJ6ez/Ur1TS2M0kMm+5KHpDRI8J56f/1nrOLx3V9tk4Ak1Sw7mjq7FbSERFNaQHBASoOeU5kaD+KJ988onaiIj0vMs44fveEta1nvU1h6Ox7cxVtbWuooX1hp4M60REZAQpKcDpv4DAicDl1Gmctk5Ak6FA81GAY2ljt5CITIDZzEknIsoNL1dHfNe7rpqzLmF91aFoBJ29qjZ/P1cV1htVLmXsZhIRUZEJ52tTw/nx9HDe9E2g+UjAgb+PiCgdQzoRFWqepR0x6aW6qmd95tZQrDx4AcEh19TWytdVFZhrzLBORET5Fc5P/aGF8ysntX22xVPD+QiGcyLKFkM6ERUJlUo74JsX62BkO18V1lccuIDtodfU1sKntOpZb+rNYYZERJQHUpKBk2uAwEnA1VPaPjtnoOkwoNlbDOdE9EgM6URUpHiUcsDXL9TBiLa+mLUtDCsORGFn2HW1NfMuhTHtq6C5D8M6ERE9YTg/sVrrOb92Rttn56IF82bDgGKsiUJEj8eQTkRFNqx/9XxtjGjrg9nbwrBsfxR2h8did/huNPUqpYbBN/cuDQsLC2M3lcg0WFoCbdqkXyaizOH8+CogSML5WW2fvYTz4VrveTEuBUpEhmNIJ6IirWJJB3zRqzaGt/XF7G2hWLbvAvZExKLPvD1oUlkL6zIcnmGdirxixYBt24zdCiLTkvwAOL4SCJoEXA/R9tmX0Oaby7xzCepERLnEkE5EBKBCiWL4vGdtDA/wxZzAMPy2Nwp7z8Wi74970MizJN7uUAUtfRnWiYhIH85XaMPaY8O0fTKUXcJ5EwnnzsZuIRGZMYZ0IqIM3EsUw6fP1cJbAT6Ysy0Mv+6Lwv7IG3jtpz1qfXUpMCdLuDGsExEV0XB+bJnWcx4bniGcjwSavMFwTkR5giGdiCgb5V2KYcJztVKHwYdh6d7zOBB5A/1+3ov6lUqosN6mShmGdSo6EhKAypW1y+fOAY6Oxm4RUcFJTgKO/g4EfQvciND2FSsFtBgFNBkK2BU3dguJqBBhSCcieoSyzvb4pEdNDJee9cBwLNkTiUPnb2LA/H2o51FCzVkPYFinouLaNWO3gKjgw/mR34BgCefntH0OpYEWo4HGQwA7J2O3kIgKIYZ0IiIDuDnb46PuNTAswBs/pIb1w1E3MXD+PtSt6KLCetuqbgzrRESFJZwfXgoEfwfcjNT2ObgCLUcDjQYznBNRvmJIJyLKBbfi9vjw2RoY1sYHc4PCsGh3JI5cuIVBC/ajTkUXjG7nh/bVGdaJiMzSg/vA4SVA8PfArfPaPscyQMsxQKNBgC2neRBR/mNIJyJ6AmWK2+F/3WrgjdY+mBccjkW7InH0wi0MWbgftSo4Y0z7KujAsE5EZEbhfHFqOI/S9jm6ZQjnDsZuIREVIQzpRERPGdb/+0x1vNHaOy2sH4+Ow9CF+1HT3Rmj2/uhU42yDOtERKbowT3g0CIgeDIQd0Hb51QWaPk20HAAwzkRGQVDOhFRHnB1ssMHXavjzdSe9YU7z+FETBzeXHQA1ctLz7ovOtUoB0tLhnUiIqNLStTC+XYJ59HaPqdyQKt3gIb9AZtixm4hERVhDOlERHmolKMtxnephqH+3vgxOBy/7DyHUxfjMGzxQVQrV1wt3da5JsM6mSFLS6BRo/TLROYazg8u1ML57RhtX/HyWjhvIOHc3tgtJCJiSCciyq+wPi41rP+0PQILdp7D6Uu38daSg6hatrgaBt+1VnpYT07RYW9ELK7cTlTF6Zp4lYIVgzyZkmLFgH37jN0KopylJAORO4H4y9qQdc8WgKWVdlvSXeDAL8COKcDti9q+4u6A/1ig/usM50RkUhjSiYjyUUlHW7zbuSqG+Hvh5+0RmL/jHM5cvo0RSw+iSlknjGrnBysLC3z290lcvJWY9rjyLvb4uHsNdKlV3qjtJyIyCyf/BNaPB+JSe8eFszvQ8TMg/gqwYyoQfyl1f4X0cG5tZ7QmExHlhCGdiKgAlHCwxdhOVTG4lTd+2iFhPQJnL8dj1K+Hsr3/pVuJeGvxQcx+rQGDOhHR4wL6sn4AdJn3S2BfOTj9uouHNqy9/msM50Rk0jipjIioALk42GBsxyrYPr4dRrf3RU4D2vV/ak5Ye1INhScyujt3gMqVtU0uE5nKEHfpQc8a0DOysAK6fQ+MOgg0HsyATkQmjyGdiMgIXIrZoLm366P+rFS3yRB4matOZHQ6HRAZqW1ymcgUyBz0jEPcs6NLBlyrANa2BdUqIqKnwpBORGQkUiTOEJdu3c33thARmaUbkYbdT4rJERGZCc5JJyIyEqniboiv159Gsg7oWc8d1lY8t0pEhHu3gb3ztKXUDCHV3omIzAT/2iMiMhJZZk2quD9qoTULC+By3D28u/wI2n8fiGX7o5CUnFKArSQiMiGJcUDQt8CUOsDmCcC9OG3OeY4stGrushwbEZGZYEgnIjISWQddllkTWYO6Reo2uXc9jO9STa27Hnn9DsatOIr23wVi2T6GdSIqauF8EjC1DrDlM+BuLFDKB+g5B3jhpww/NTNKvd7l6/T10omIzACHuxMRGZEsrybLrEkV94zrpJfLsk56v+aeWLw7EnODwnE+9g7GrTyK6VtDMCLAFy80rAgbDoMnosIo8Raw5wdg10wg8aa2r7Qv0HocUOsFwCr1T1kJ4dmtky4BvUYP47SdiOgJMaQTERmZBPGONcqpKu5STE7mqstQeOlp13O0s8abbXzwenNPLNl9Hj8EhSEq9i7eX3UM07eEYkRbX7zYsCJsrRnWKZ/I3IsaNdIvE+WnuzeBPXOA3bO0oC5K+wFtxgO1nn+4Z1yCeLVuWrV3KRInc9BliDt70InIDDGkExGZAAnkzX1KP/Z+DrbWGNraG68188SSPZGYExiO6Jt38d/VxzBzayiGt/XBSw09GNYp7zk4ACdOGLsVVBTC+e7Z2nYvNZy7VgXajANq9np06JbbvPwLrKlERPmFIZ2IyAwVs7XCEH9v9G3qiaV7z2NOYJgK6/9bfRwzt4Tirba+6N2oIuys2YtERGbg7g1g1yyt91yKwYky1bRwXqMne8SJqEhhSCciMvOwPriVF/o2rYRf957H7G1hiLmViA/XHMesraF4K8AHvRt5wN6Gf+ASkQm6E6sNaZd552nhvDoQMB6o/hxgyVFBRFT0MKQTERUCEsIHtvTCq00q4TcJ64FhqhDdR3+cwKytYSqsv9yYYZ2ewp07QOPG2uV9+7Th70RPE853zQD2zAXu39b2udXUes6r92A4J6IijSGdiKgQkRA+oKUXXmlSSa2pLgH9UlwiPv7zBGZtC8WwNj4qyDOsU67pdMDJk+mXiZ5EwnVg13Rg7zzgfry2r2xtLZxXe5bhnIiIIZ2IqHCSEN6veWXVe75s/wU19F161mWpNxkSL5XiZYg8wzoRFYiEa8DOacDeH4GkBG1fOQnn7wNVn2E4JyLKgCGdiKgQk8JxrzfzVEXklu+/oAK6FJj77K+Tqtjcm6214nMyt52IKM/FX9XC+T4J53e0feXqAAGp4ZzL+RERPYQhnYioiIR1WbZNisitOHBBLdcmYf3zv0+pZdxUWG9WSS3xRkT01OKvADumAvt/Tg/n5etp4bxKF4ZzIqJHyNXYoqSkJAwaNAgRERG5eRgREZkIWT+9T9NK2PpuAL5+vjYqliyGa/H38MW6U2g9cSt+CAzDnfsPjN1MIjJXty8D6/8LTKmjFYaTgO7eAOizDHhjG1C1KwM6EVFehnQbGxusXLkyNw8hIiITDetSXE7C+jcv1IZHKQnr9/HVP6fh/81WNRQ+4R7DOhEZ6PYlYP0HwNQ6wO6ZwIO7QIWGQN8VwNAtQJXODOdERAbKdZWOnj17Ys2aNbl9GBERmSAbK0u83LgStvwnABNfrAPP0g64nnAfX0tYn7hVVYSPZ1gnIQHL01PbGLZIL+4i8M94YGpdbb3zB4lAxcZA35XAkM2AX0ceL0REuZTryYd+fn749NNPsWPHDjRs2BCOjo6Zbh89enRun5KIiEwgrMt89efrV8CawzGYviUEkdfvYOL6M5gXFI4h/t7o19wTxe1tjN1UMhZZF/3cOWO3gkxFXAywfTJw4Bcg+Z62z6Mp0GY84NOOwZyIqCBD+k8//YQSJUrgwIEDasvIwsKCIZ2IyIxZW1nixYYV0bOeO/44HIMZW0MRcS0BkzacwbzgcAxp5YX+LSozrBMVVbeitXB+UML5fW2fRzOtIJx3AMM5EZExQjqLxhERFY2w/kLDiniunjvWHo3B9M2hCL+WgG//PYt5wREY3MoLA1pWhjPDOlHRcOsCEPw9cGhRejiv1AIIGA94tWE4JyLKQ0+81s79+/dVYPfx8YG1NZfsISIqrGG9V/2K6FG3Av46GoNpm0MQdjUB3288ix+DwzGolRcGtvSCSzGG9ULv7l2gdWvtclAQUKyYsVtEBeFmFLD9e+DgIiAlSdvn2UoL55X9Gc6JiEyhcNydO3cwePBgODg4oGbNmjh//rzaP2rUKHz99df50UYiIjIyK0sLPFevAv59pw2mvVofvm5OiEt8gCmbQtDqmy2YvPEsbt1N/QOeCqeUFGD/fm2Ty1S43TwPrB0DTKuvrXUuAV1Cef+/gIF/A16tGdCJiEwlpH/wwQc4cuQItm3bBnt7+7T9HTp0wO+//57X7SMiIhML6z3qumPD260x/dX68HNzwu3EB5i6OQStvt6C7/89g1t3GNaJzNaNc8Cfo7RwfmCBFs4lkA9YBwz4C/DyN3YLiYgKvVyPU5fl1ySMN2vWTBWK05Ne9bCwsLxuHxERmWhY717XHd1ql8c/xy+pYfBnLt/GtC2hmL/jnJqvLvPWSzjYGrupRGSI2Agg+DvgyK9ASuqyizLXXArCebYwduuIiIqUXPekX716FW5ubg/tT0hIyBTaDREUFITu3bvD3d1dPfZx66+vWrUKHTt2RJkyZeDs7IzmzZtjw4YNuX0LRESURywtLdCtTnn8M8Yfs/s2QLVyxXH73gNM3xKKVt9sxaQNp3EjIbXIFBGZnthwYM0IYHpDrSicBHTvtsCgDUD/PxnQiYjMIaQ3atQIf//9d9p1fTD/8ccfVWjODQn2devWxcyZMw0O9RLS161bp5Z/a9u2rQr5hw4dyuW7ICKivA7rXWuXx7rR/pjzWgNUL++M+HsPMHNrmJqz/s3604hlWCcyHdfDgNVvAdMbAYcXA7pkwKc9MHgj0G8NUKmZsVtIRFRk5Xq4+5dffomuXbvi5MmTePDgAaZOnaou79y5E4GBgbl6Lnke2Qw1ZcqUh9ryxx9/YO3atahfv36uXpuIiPInrHepVR6dapTDxlOXMXVTCE5ejMPsbWH4Zec59GteGUP9vVDayc7YTSUquuE8aBJw9HdAl1oA0LcD0OZ9wKOxsVtHRERPEtJbtWqFw4cPq0rutWvXxr///osGDRpg165d6npBSklJwe3bt1GqVKkc73Pv3j216cXFxamvSUlJajNl+vaZejup6OIxSo/SrkpptPUrhS2nr2La1jCcvHgbcwIlrEegb9NKGNLSM9/DOo/RPJSUBGtXV3XxgXye/EzN6xi9HgKr7d/D4sRKWKSG8xSfDkjxHwddhQb6xuRvG8gs8ecombokMzlGc9M+C51Op4MJkGHzq1evRs+ePQ1+zMSJE9XJgtOnT2c7T1588sknmDBhwkP7ly5dqpaRIyKi/Ce/aU7csMD6C5aIStCmSdla6tCyrA7t3FPgzPpyRPnCKTEGVS79gYo3dsMC2p98l5zr4Uy5nrjp6G3s5hERFRl37txBnz59cOvWLVVf7alDuvQ+659I3xOdk8e9YF6FdAnZQ4cOVcPdZfm33PSke3h44Nq1a0/c1oI827Jx40Y1D9/GxsbYzSF6CI9Ryi35lbPt7DXM2BqGo9Ha7xN7G0v0aeyBIa0qo0zxvO1Z5zFKpi7fjtFrZ2G1/VtYnFidFs5T/DojpdW70LlziiAZjj9HydQlmckxKjnU1dXVoJBu0HD3kiVL4uLFi6q3ukSJEtlWcZc/vGR/cnIy8ttvv/2GIUOGYPny5Y8M6MLOzk5tWck30JS/iebaViqaeIxSbnSq5Y6ONctj29mrmLIpBEeibuLnnZFYsjcKfZt6Ylgbb7g52+fpa/IYJVOXZ8folVNA4ETgxGr560zbV7Ub0GYcLN3r5b5iMFEq/hwlU2dj4sdobtpmUEjfsmVL2rzvrVu3wph+/fVXDBo0SAX1bt26GbUtRET0ZOSkbtuqbgioUgaBZ69i6uYQHDp/Ez/viMCSPZF4tUklvBXgg7J5HNbpKdy9KxVftcv//AMUK2bsFlFGl08Cgd8AJ/9ID+fVngXajAfK1zF264iIKBcMCult2rTJ9vLTio+PR2hoaNr1iIgIVZROTghUqlQJH3zwAaKjo7Fw4cK0Ie79+/dXFeWbNm2KS5cuqf3FihWDi4tLnrWLiIgKLqwHVHVDmyplEBxyTYX1A5E3sGDnOSzdex59mlTCsDY+KOfCsG50KSmAfhUXuUym4fKJDOE8VfXuWjgvV7AFfYmIqABD+tGjRw1+wjp1DD9bu3//frXWud7YsWPVVwniCxYsUEPsz58/n3b73Llz1bJvI0aMUJue/v5ERGS+Yb11lTLw93PFjtDrmLLpLPbrw/qe83iliYfqWS/vwt5bIuXSMS2cn1qbvq/Gc0DrcUC5WsZsGRERFURIr1evnvoD6nE15nI7Jz0gIOCRz5k1eG/bts3g5yYiIvMjv0da+bmipW9p7Ay7rtZZ33suFgt3ReK3vVHo3bgihgf4wr0EwzoVURePaHPOT/+VusMCqNlTC+dlaxi5cUREVGAhXYahExERFWRYb+nrihY+pbErXAvreyJisXj3efy+Lwq9G3lgeFtfVGBYp6Ii5rAWzs/8nSGc91IF4eBW3ciNIyKiAg/pnp6eefqiREREhob1Fj4S1l2xS3rWN5/F7vBYLNlzHsv2R+HFhh4Y0dYHFUs6GLupRPkj5hCw7Rvg7D+pOyyAWi8Ard8D3KoZuXFERGS0kJ7VmTNnMH36dJw6dUpdr169OkaNGoWqVavmdfuIiIiU5j6l0dynOfZIz/rmEDUc/te957F8fxReaqQNg/colR7Wk1N0qvf9wDULlI6IRXNfN1hZPryEKJHRpCTDInI7KsTugkWkM+DdGrC00m6LPqCF85AN2nULS6DWi1o4L1PFqM0mIiITC+krV67EK6+8gkaNGqF58+Zq3+7du1GrVi21LNoLL7yQH+0kIiJSmnqXxlLv0th3LlYNg98eeg2/7o3C8v0X8EKDihjR1hcnL97ChLUncfFWIgArLAzZj/Iu9vi4ew10qVXe2G/BfDlwxEKeOfknsH48rONi0EiuR84GnN2Bxm8A53cCIf+mh/PavYHW7wKufkZuNBERmWRIHzdunFoa7dNPP820/+OPP1a3MaQTEVFBaFy5FBYPaYr9EtY3h6gl3H7fH4XlB6KQkk1N0ku3EvHW4oOY/VoDBvUn4egIJCQYuxWFJ6Av65e+nrleXAyw+ZP0cF7nZcBfwrmvUZpJRETGYZnbB8iyaP36yS+WzF577TV1GxERUUFqVLkUFg1uipVvtVBLuGUX0IV+t/Swy1B4IqNISVY96A8F9IxsHIDhe4BecxjQiYiKoFyHdFk2LTg4+KH927dvh7+/f161i4iIKFcaepZU89IfRWKRDIHfGxFbYO0iyiRyp9Zj/ihJd4D4ywXVIiIiMvfh7j169MD48eNx4MABNGvWLG1O+vLlyzFhwgT8+eefme5LRERUUK7cTszT+1EGiYmAfkrbypWAvb2xW2Sezj3c0ZEthnQioiIr1yF9+PDh6uusWbPUlt1t+mVzkpOT86KNREREBnErblhwXLYvCjXdXeDr5pTvbSo05Hf6unXplyl3zm0Htn1teEh3KpvfLSIiosIS0lNSUvKnJURERE+piVcpVcVdisQ9atb5jrDr6Dg5EN3ruGN0e1/4uhUvwFZSkRIRDAR+kx7OLawBa1sg6W4O89IttCrvni0KuqVERGSuc9KJiIhMlayDLsusiawrolukbv/tWg0da5SFTgf8eSQGHScHYeTSgzh7+bZR2kyFkBxcEUHA/GeAX57VArqlDdBoEDDmMNDrh9Q7ZneUAujydfp66UREVOQY1JM+bdo0vPHGG7C3t1eXH2X06NF51TYiIqJck+XVZJm19HXSNeUyrJP+BoATMbcwbXMINpy4jL+OXsTfxy7imdrlMbqdH6qWY886PWk4DwS2faOtdS6sbIEG/YBW7wAuFbV9JTyA3gu1Ku8Zi8hJD7oE9Bqs6UNEVJQZFNInT56Mvn37qpAul3Mi89AZ0omIyNgkiHesUQ67Qq/g3+A96OTfFM193VRPu57MSf/h9UY4GROnwvr6E5fwt4T1oxLWy2F0ez9UK+ds1PdBZhTOw7dq4Txqd4Zw3j81nFd4+DESxKt1w4PwIBwO3oB6/p1h7d2aPehERGRYSI+IiMj2MhERkamSQN7UqxSun9KprxkDekY13J0x5/WGOHUxDtO3hGDdsUtpW5eaWliX+xBlG87DtmgF4S7s1fZZ2QENBwCt3tZ6xh/F0go6z1aIPhGHup6tGNCJiOjJCsd9+umnePfdd+Hg4JBp/927dzFp0iR89NFHuX1KIiIio6te3hmz+jbEmUu3MU2F9Yuqd122zjXLqrAuve9EKpyHbgYCJZzv0/ZZ22vhvKWE8/LGbiFRnpCVmu7duwdra2skJiZy5SYySUlJSSZzjNra2sLS0rLgQ7qshT5s2LCHQvqdO3fUbQzpRERkzmQ++sw+DVQhORkGL3PVZd66bFJwbkx7P9SqUATDuqOjFk6LMnn/IRu1cB59ID2cS0G4lmOA4uWM3UKiPKHT6XDp0iXcvHlTXS5XrhyioqLU1FYiU6MzoWNUArqXl5cK6wUa0uVDyO7NHzlyBKVKlXqqxhAREZmKKmWLY0afBhhz+TambwnF2qMx2Hjysto6VHfDmPZVULtiEQzrRTac/6sNa485qO2zLgY0Hgy0GA0U55rmVLjoA7qbm5uqSZWQkAAnJ6c86SEkymspKSmIj483+jEq7YiJicHFixdRqVKlpzphYHBIL1mypHoh2apUqZLpRWVYgXww0sNORERUmPiVLY5pr9ZXw91nbAlRy7ZtOnVFbe2ruWFMBz/UqVjC2M2k/ArnZ9dr65zHHNL22Tikh3MnN2O3kCjPyd/1+oBeunRpFTxkOLGEdYZ0MkUpKSm4f/++SRyjZcqUUUH9wYMHsLGxyf+QPmXKFNWLPmjQIDWs3cUlvfdAuvMrV66M5s2bP3FDiIiITJmvmxOmvFIfo1RYD8Ufh6Ox+fQVtbWtWgZjOlRBPY9CHNYTE4HXX9cuL1oE2NujUIfzM+u0cH7xSIZwPiQ1nJcxdguJ8o0EcpF1aisRPZ5+mLuc7CqQkN6/f3/1VcbYt2jR4qlelIiIyFz5lHHC5JfrYVQ7X8zYGoo1h6Kx9cxVtQVIWG/vh/qVSqLQkWI8K1ZolxcsQKEN56f/1uacXzqm7bNxBJoMBVqMAhxdjd1CogJj7Lm9REX5/41BIT0uLi7tcv369VUld9my4+zMZWqIiKjw8y7jhO9718Podn4qrK8+FI1tZ66qrXUVLaw39CyEYb0wSkkBTv8FBE4ELqeGc1snLZw3l3Be2tgtJCKiIsSgQfslSpRQc9IftenvQ0REVJRUdnXEty/VxZb/tMFLDSuq9diDzl7FC7N34vWf9mD/uVhjN5EeFc5PrAF+8AeWva4FdNvigP9/gLePAR0+YUAnIqP2yq5Zs+aR9xkwYAB69uyZq+eVacoylTk3r0MFy6Ce9K1bt+Z/S4iIiMyYZ2lHTHqpLka188PMraFYefACgkOuqa2Vr6sqMNe4MldBMZlwfuoPref8ykltn4TzZsOAZsMBB36fiPJCcooOeyNiceV2ItyK26OJVyl1IjO/SGD95Zdf0q7LylONGzfGxIkTUadOnXx73Yyv/eabb2LOnDmZbhsxYgRmzZqlpg8veMLpQufOnVPTjg8dOoR69eql7Z86daqqG/Y0pBo5O1vNMKS3adMm/1tCRERUCFQq7YBvXqyDke18MWtbKJbvv4DtodfU1sKntBoG39SbvbNGkZIMnFwDBE4Crp7S9tk5A00lnL/FcE6Uh9Yfv4gJa0/i4q3EtH3lXezxcfca6FKrfL69bpcuXTB//vy0peT+7//+D88++yzOnz+P/Obh4YHffvsNkydPRrFixdS+xMRELF26VC3JlR8yFvN+UrLG+NOQyupPuy44ZZbrGvVBQUGP3IiIiAjwKOWAr56vg63vBuDVJpVgY2WBnWHX8fLc3Xhl7i7sCrtu7CYWrXB+bAUwqzmwYpAW0O1cgDbvA28fBdr9jwGdKI8D+luLD2YK6OLSrUS1X27PL3Z2dip0yiY9zu+//z6ioqJw9epVdfu2bdvU8G5ZZk7v8OHDap/0Vsua8FJja4W+UGYqGQ7u6OiI27dv5/jaDRo0UEF91apVafvksgR0qev1qCHnQtr7ySefZPvc0osu5HmkrQEBAdkOd5f9I0eOVJsEeFdXV3z44YeP7G3POtxdPq/evXur6cwyGuG5555Tn42e/jW/+OILuLu7o2rVqjk+N+VzdXc9/QGRUdY104mIiChjWK+NEW19MHtbGJbtj8Lu8FjsDt+Npl6l1DD45t6lWUk5v8L58VVA0ETg2lltn70L0GwE0PRNoFghXjKPKA9JwLtz/4FBa1DLEPeP/zyB7CKh7JOfdJ/8eRItfV0NGvpezMbqiX8+xsfHY/HixfD19VVrvhtCgvgrr7yieuNffPHFtP3668WLF3/k42W5arlv37591fWff/4ZAwcOVCcHnsbevXvRpEkTbNq0CTVr1nxkz7UMux88eLB6zP79+/HGG2+oEwVDhw41aAm+zp07q6W1g4ODYW1tjc8//1yNUDh69Gja627evFmdzNi4ceNTvS/Ko5B+48aNh76RMjdCztDI2RQiIiJ6WMWSDviil4R1XxXWf98XhT0Rsegzbw+aVC6FtyWs+5hwWJc1k+Pj0y+bsuQHwPGVQNAk4HqIts++BNA8NZxLUCcigyUmpaD+N3kTxiSoX4pLRO1P/jXo/ic/7QwHW8Mjy19//QUnJyd1WXrFy5cvr/YZcoJBb8iQIWrJaZmrLY+/cuUK1q1bpwLy47z22mv44IMPEBkZqa7v2LFDDYF/2pBepkwZ9VVONjxueLr05suQe/l9Ir3cx44dU9cNCem///47UlJS8OOPP6b9PpKTDtKrLu+hU6dOaScz5D4c5m4iIT27eQ8dO3ZU36CxY8fiwIEDedU2IiKiQse9RDF81rMWhqf2rP+2Nwp7z8Wiz4970LhySYxpXwUtfU0wrEt7HB1h+uF8hVYQLjZM21espBbOm0g45zKxRIVd27ZtMXv27LTORSnY1rVrV9Wr7OnpadBzSI+19FZLj7QMl5feeHls69atDQrT3bp1UwXiZASCXJYh5wWpWbNmmX6HSK/4d999p0Y8W1lZPfKxR44cQWho6EMjBmRufVhY6s9VALVr12ZAN6WQnpOyZcvizJkzefV0REREhVp5l2L49LlaeCvAB3O2heHXfVHYd+4GXvtpj1pfXQrM+fu5ml5YN9VwfmyZ1nMeG54hnI8EmrzBcE70lOxtLHH8k44G9UZLNfcB8/c99n4LBjZW1d4NGe6eG9LDK8Pb9aS3VzoZ582bp4Zt699DxjnaMjI4u970mTNnqpAuPckyZN3Qn8cy5F3mhAt5juxIO7LOE8+uHQVNpgg0bNgQS5YsybE3X/85kwmFdJmLkJEcXDIU5Ouvv860HAAREREZFtYnPCc969ow+F/3nseByBvo9/Ne1K9UAm93qILWphDW790D3nxTu/zDD1KdCUaXnAQc/R0I+ha4EaHtK1YKaDEKaDIUsHv03FEiMoz8/JEh54aEdH+/MqqKuxSJy25euvwkK+dir+6Xn8uxpb2ehYVq9927dzMFzYzLjknhuOyGrY8bNw7Tpk3DyZMn1fJphpL521LxXF5b5ndnR9ohbdCLi4tDRETqz7Fs6HutDan/tWfPnkzXd+/eDT8/v8f2ouuL38mQdzc3NzXnnMykursEcakqKF/1l5955hl1IMqZKiIiIsq9ss72+KRHTQSPa4tBLb1gZ22JQ+dvov/Pe9Fr1k5sPXPlqdfCfSoPHkg1Im2Ty8YO5wcXATMaAX+M0AK6Q2mgwwTg7WOA/1gGdCIjkeAty6yJrBFcf11uz6+Afu/ePbX0mmynTp3CqFGjVO9w9+7d1e3Syy5ztqWKekhICP7++281FDwrCfDPP/883nvvPTUPu2LFiga3QcKwvLaE+5yCcbt27bBo0SJVnE3mjMtJgEeFaAnNsqzb+vXrcfnyZdy6dSvH+8pyczINWUY5//rrr5g+fTrGjBljUNul4J0Mz5eK7tI2OXEgc9FHjx6NCxcuGPQcZISe9KxneOTMlJwJsre3z4PmEBERFW1uzvb4qHsNDAvwxg+B4ViyJxKHo25i4Px9qFvRRVWDb1vVzfg968YK54eXAsHfATe1okxwcAVajgYaDQbstGJRRGRcsg767NcaPLROerkCWCddQqwUexMyr7patWpYvnx52gpVNjY2Kri+9dZbqFOnDho3bqyGwb/00ksPPZdUSJc1zmX4em49rhdaistJrpI13GU4/mefffbInnSpsi69+p9++ik++ugj+Pv751iMrl+/fmrkgMytl+AvAV0qvBvCwcFBLas9fvx4dZJClpyrUKEC2rdvz571AmShM+pp+YInQ0nkP4KcfTL1A03mpUglSRmpID9QiEwNj1EydYXhGL16+x7mBoVh0e5IVWFZ1JGw3t4P7aoVYFhPSABSKyarKu8FOR/xwX3g8BIg+Hvg1nltn2MZoOUYoNEgwNZ850YWhmOUChcpECZhUdbllk44qfQtfz/L3825qZCuX45N5qhfuZ0It+L2ag56QQxxzyvS0/3OO+8gJibGbIqkyckIGe2cdQ32wizlKY7R/P7/86Q51OCe9IULFxp0PzlzQ0RERHmjTHE7/K9bDbzZxgfzgsKxcFckjl64hcG/7EftCi4Y3d4PHaoX0p51Fc4Xp4bzKG2foxvQ6m2g4UDA1sSXgiMq4iSQy9KS5ubOnTtpNbfefPNNswnoVHgYHNIHDBig1hyUoRY5db7LHwgM6URERHnP1ckOHzxTHW+09sbc4HAs2hWJY9G3MHThftR0d1ZhvVONsoUjrD+4BxxaBARPBuJS50A6lQVaSjgfwHBORPlq4sSJ+OKLL9SSazIsnchkQ3r16tVVkQKpdCjzMmQOBxERERWs0hLWu1bHm619MC84HAt3nsOJmDi8uegAqpd3VsPgJaxbmtGQ0jRJiVo43y7hPFrb51QOaPUO0LA/YFPM2C0koiJAisrJZo5ymqdO5sXgQfsnTpxQ1Q+lCIGcVWrUqBFmz56txtYTERFRwSrlaIvxXaoheHw7jGjrA0dbK5y6GIdhiw/gmWnB+OfYRaSk6MwnnO+ZC0yrD6x7Vwvoxd2BrpOAMUeAZsMY0ImIqMjI1cz6pk2b4ocfflBzNKQM/7Jly1T1RCnVL8sdEBERUcGH9fc6V8P28e0wsq0vnOyscfrSbby15KAK638fzaOw7uAAXLmibXI5LyTdBXbPAabVA/55D7gdo4XzZ74FRh8Cmr4B2HD1GCIiKlpyvQSbkDX6ZO555cqV8fHHH+O3337DjBkzYGdnl/ctJCIioscq6WiLdztXxRB/L/y8PQLzd5xTYX3E0oOoUtZJzVl/plb5Jx8GL3Pdy5TJu3B+YAGwfQoQf0nb51wR8H8HqP86YM2/J4iIqOjKdUiPjo7GL7/8gvnz5yMhIUHNUZdh7yVLlsyfFhIREZHBSjjYYmynqhjcyhs/74hQ29nL8Ri59BD83EIwqr0futUub5xlkO7fAQ7MB3ZMBeIva/tcPAD/sUC9vgznREREuQnpMrRdgnlgYCA6d+6M7777Dt26dYOVlVX+tpCIiIhyzcXBBu90rIJBrbwwX8L69giEXInH6F8PYdrmEIxq54tn67gbHtZlWtvYsdrl778HcjN67n4CsP9nYMc0IOFKagMrZQjnXN6IiIgo1yH9lVdeQaVKlfDOO++gbNmyOHfuHGbOnPnQ/WSuOhEREZkGl2I2eLuDFtYX7DiHH4PDEXolHmN+O4ypm0Mwup0futc1IKw/eADMmqVdnjjRsJAu4XzfT8BOCedXtX0lJJy/C9R9leGciIjoaUK6BHRZe3Xp0qU53kduZ0gnIiIyPc72Nmpe+oCWlfGLhPXtEQi/moC3fz+setZHtvNFj7rusLbKVU3Z7N2LB/b9COycDty5pu0r4Qm0Tg3nVjZP/xpERPlAll5bs2YNDh8+rK4PGDAAN2/eVPsKiiGvKUuttW3bFjdu3ECJEiXM5r1RHod06TknIiIi8w/ro1LD+sJdkWqt9fBrCRi77AimbwnFiLa+6FnvCcP6vdvA3nnArhnAnevavpJeWjiv8zLDOVFRk5IMRO7UalA4lQU8WwCW+TdV9urVq/joo4/UstGXL19WNbPq1q2r9rVs2TJfXlMfliUoywpY9vbpK1Ls27cPTZo0UZd1uidfZSMgIAD16tXDlClT0va1aNFCvZ6Li8sTP+/UqVOfql1kYtXdiYiIyLwVt7dRgbx/Cwnr5zAvKBwR1xLw7nIJ6yFqObde9SukhfXkBw+g/9P65K71qBrwHKysrTOE87nAzhnA3dj0cN5mHFC7N2DFPzeIipyTfwLrxwNxMen7nN2BLt8ANXrky0u+8MILuH//vipy7e3trYL65s2bcf166knDfFS8eHGsXr0ar776atq+n376SY1GPn/+fJ6/nq2tLcqVK/dUz/E0AV9IwE9OToa1/ncB5Zk8GNP25IKCgtC9e3e4u7urofKGDLWQs1UNGjRQy735+vpiwYIFBdJWIiKiwkjWVR8e4KvWWR/fpZpadz3y+h28t+Io2n0XiGX7orD/nwW49k3dtMfU2DIQ1z6vgiN//wAETQKm1AY2f6oF9FI+QM85wMj9QL0+DOhERTWgL+uXOaCLuIvafrk9j8mw7eDgYHzzzTeqZ9vT01P1Yn/wwQfo0aNHpvsNGTIEZcqUgbOzM9q1a4cjR4489ev3798fP//8c9r1u3fvqmWqZX/WIefSK56R9JDL0tbZkSHpUrhber0lL8kmI5wlE8lleT9CMpH05kue8vPzUz36Uuw7KioqxzbLc/fs2TPtekpKCr766it4eXmpJbdlFMKKFSvSbte/5j///IOGDRuqPLZ9+/Yn+LTIpEO6LOEm3/zsCtBlJyIiQlWUl/94Mpfi7bffVv/JNmzYkO9tJSIiKswc7azxVoAPgse1xQddq6G0oy3Ox97B5tU/osHuMSijS+0hT+Wmu446e8cBWz4H7t4ASvsCveYCI/YC9WTeOcM5UaEhQ6KlEKQhW2Ic8M84eVB2T6R9kR52uZ8hz2fgcGwnJye1SUi9J6tR5OCll17ClStXVNA8cOCA6vxr3749YmMz/4zLrddff12dJND3mq9cuVIFb3n+pyHhvHnz5hg6dKga3i6bh4dHtve9c+cOvvjiCyxcuBA7duxQAV6KfxtKAro8ds6cOThx4oQqGC7LbctJgozef/99fP311zh16hTq1KnzVO+PsmfU36Bdu3ZVm6HkgJEzO7L8m6hevbo6ezN58mR1poiIiIiePqy/2cYHrzf3xOKd4ei+daTan7X4u0XqdRkEb9lzFizrvJSvc02JyIge3IXl19Xz6Ml0Wg/719kHzYf8NwawdXzs3WTItfQmS5iVzCDhuE2bNiqk6oOk5Ia9e/eqkC69wOLbb79VwV56jN94440nfldubm4q10gbZA689KoPGjQIT0uGpMvQdgcHh8cOb09KSsKMGTPQtGlTdV2G/UtekvesnxufEzmx8eWXX2LTpk3qpICQKQPymf3www/qs9T79NNP0bFjx6d+b5QzszrNvWvXLnTo0CHTPgnn0qP+qAMu49m0uLi4tINYNlOmb5+pt5OKLh6jZOp4jD45GwugudVplLdI7V2Smm9jnNIvp7JGMo7ddkC15BRANsoVHqNkauRYlLnGMvRZNmMXFpM2QDYD9OrVSwVl6dHes2cP1q9fj4kTJ2Lu3LlqaLeMxI2Pj0fp0qUzPU6GpoeGhmZ6v+p1U+dd6z+PHNuX+lVeQ3qf+/Tpo3LL77//rtqS9fkyXs9uX3avmfV6xtfVb3KiQoah62+rUqWKGgIvveKNGjV65OucPXtW9cRnDd8yx79+/fppryHkBEhOn4cx6FLf16O+TwVFfwzJ/yMrq8wnrnPzc/6JQnpYWBjmz5+vvsoQDDlzJENGpDBCzZo1kV8uXbqk1mjPSK5L8Jb/XDJ3IrthGxMmTHho/7///qvOSJmDjRs3GrsJRI/EY5RMHY/RJ6M7F4jaGbvOS2S/lvrJg7sQHssKwU+DxyiZCgl60mMrYVYCmrazGG6OOGXY46P3wmlN5nnY2Ynv+QseVHh0765y94E2ND4XpCdZNlkaWraPP/4Yzz//PK5du6be29q1a7PtsZZMIZ17UgwtY8fegwcP0q5nJcFW3L59W1WQl+sDBw5Ely5dYGNjozKKeNTzyWMl3OV0H7ks34uMj8n4upaWlkhMTEx7HbmuJ4FRbnvce5Mie0JOLJQvXz7Te5SefLmP/jUzttWU3L5929hNUN8n+Z5L7TX5bDPSf375EtJlToKcoZKDUF5c5j1ISJeCC1LBMGNxAVMgxSLGjh2bdl0OKJnH0alTJ1UswpTJfxz5pS1ntOQ/OZGp4TFKpo7H6BO6ewOWe+YAcUsMuvvGm25oVboWXmxYEXbWRi13Y3Z4jJKpkUAnxcZkfrcUH5OQJ+GneKmyqmjYY5XsBt0Wd1UkziKbeek6WKgq7w61uhXIFBmpf7Vu3Tr1d78M4/78889V73JOhdpkGLz0gOpzgvy/lBMXOeUGfaefVHeX5+3Xrx8mTZqkloGTx+g7EfWPr1ChgloqTu6v/zxPnz6tgnVOrynPkbFNWV9X9sv3SkKh9Ijrh7afOXMGt27dUj3hcp9HvbfGjRur2+VERk7TkbO+pqnQ6Y/RDJ+pMf//yPerdevWmZbjE7k5sZHrkC6FAuTgluArH4SeVEaUORD5Sc586c/y6Mn1jP8BspKDTT/nJCM5KM3ll6E5tZWKJh6jZOp4jBroTqy2xvmeucB9rUciCVaw1iXDIkUHbE6dPtbeDrCygOy6hNLYkuiLTX+dxpygc6r43MuNPWBvw/npucFjlEyF9LRK0JHQKJt++LB+32PJfWSZNaniLoE8U1C3UHvQ5WtYWOft8S7LrElROJkHLnPQJafs379fBebnnntOtV066SSoS6+6DIOX4eAxMTEqUMtQeRkSrg95+veqr6ie03vX79d/XpKTxo0bp4bUZ3yc/qtkplGjRqm58C+++KIaki+b5JmcXlNqcsm8cilKJydPSpUq9dDryiY/Q8aMGYNp06ap8D1y5Eg0a9ZMbfrnzem9yUiCd999F//5z3/Uba1atVIBXwrQSdukSn3W1zQVKbk9RvORvL60I7uf6bn5GZ/rd3Hs2DF1EGclvely5iU/yX8qWeswIzn7rC9uQERERE8g4TqwaYK2lFrwd1pAL1sb6L0Ix5t9r/7ETpFRe7vua1syVEAX0U0/wifP1UY5Z3tcikvEx3+eQJtJWzF/RwQSk5KN/c6IyBhkHfTeCwHnzMOm1Trpsj8f1kmX8CpD3KWgtPRi1qpVCx9++KEqJKfvSJTwJL3qcrsMSZeQLoXlIiMjH5pS+6RkaLirq2uOPbpSyG3WrFlqdSvp5ZfwLeH4UeR26QGvUaOGWjoup3XXpad7/Pjxak68jHqWz0SGrxvqs88+U5+ZTBeWdsqQfTmBIScJqGBZ6HJZDaJixYpYtmwZWrRooc5QyTB3qfy3evVqdQDJPHVDyVwXKdIgZBjG999/r5ZXk7NDMr9dhqpHR0erpQD0S7DJf7gRI0aos2RbtmxR80zk4DG0ursMM5AzRXJmyJSGaeQ0BE5+kDzzzDM8u04miccomToeo4+RcA3YOR3YOw9IStD2lasNtHkfqPqM1iMG4NCGX+Ae+DHKfhWp3eeD4rhk64qLzT9G/c7a3NN7D5LVmuqztoXh4i1tbqRbcTsMa+ODPk0rsWc9BzxGydTIcF35m1uCmQzX1c8/ztjTa7CUZCByJxB/GXAqC3i24CoQ+USqyksxbf266UVJytMco/n8/+dJc2iuh7vL2SY5Q7N8+XJ1hkg+FBkGIQFd5mDkhgxBkVCup587LsMp5ECTdQAznimSNyuBXKomSsE6OWHw448/cvk1IiKi3Ii/CuycBuz7KUM4rwMEpIbzLD1AEsSTm/UEviqhrp9sNx9VA55DOev0PyPsrK3wevPK6N3YA8v3X8CsraGIuZWIT/86idmBYXiztTf6NvVEMVv+gU5UZEgg9/I3diuIzE6uQ7qsnyc92VJ8TeasyLAL+SrDKv7v//4vV88VEBDwyGUdJKhn95hDhw7lttlEREQUfyVDOE+tMlu+nhbOq3R5KJxnZJUhkNdo3kVKQGd7PwnrrzXzRO9GHlhx4AJmbg1F9M27+PzvU5gTGK6F9WaV4GBrVqvAEhERFRjrJ5lnMW/ePHz00UdqfroMWZeh6n5+fvnTQiIiIno6ty+nh/MH2nJAcK8PBHwA+HV6ZDh/UrbWlmqYu1R8X3lQC+sXbtzFF+tO4YegMLzR2luFeYZ1IqKnJ2u0y0aFQ65/M8qya9WqVVM96bJlnFO1a9cuVYiBiIiITMDtS8COqcD+n4EH2jxxVGiozTn365gv4Ty7sP5qEy2srzp4ATO2hiIq9i6+XHcaPwSGY2hrb7zezBOOdgzrREREIte/EWW4uVQ/lEJx+nL+IjY2Vs0vl6HvREREZERxF7VwfmB+ejiv2FgL577tCyScZ2VjZYmXG1fC8w0qYvWhaMzYEorzsXfw9T+nMTcoHEP8vdCveWU4MawTEVER90S/CaV4XPv27dXSARmHVeSyUDwRERHlpbgYYPsU4MACIDl1TfOKTbQ55z7tni6cFysGHD+efvkpwrrMV+9VvwLWSFjfGorI63cwcf0ZzFNh3Rv9WzCsExFR0ZXr34BS0V2WRvP391fV3I8ePYrvvvsu7TYiIiIqYLeige2TgYML08O5RzMgYDzg3TZves5lWZuaNZFXJKy/lBrW/zgco8J6xLUETNpwBvOCwzGklZcK68XtuSwZEREVLbkO6fre8ueff14tifbcc8/h5MmTakk0IiIiKkC3LmQI5/e1fZVaaOHcq41RhrXnlrWVJV5oWBHP1XPH2qMxmL45FOHXEvDtv2cxLzgCg1t5YUDLynBmWCcioiLiqcaSSVX3vXv3omfPnmr4OxERERWAm1HA9u+Bg4uAlCRtn2dLbVh7Zf/8Cef378s6rNrl//5XlnvJ87Deq35F9KhbAWuPxGDalhCEX03A9xvP4sfgcAxu5a3CuksxhnUiIircLHP7gP79+6NYhrlo5cqVQ2BgoArplSpVyuv2ERERkd7N88Dat4Fp9bWK7RLQJZT3/wsYuA7wap1/vedJScCECdoml/OJlaUFetavgI3vtMHUV+rB180JcYkPMHnTWbT6ZgsmbzyLW3fz7/WJiCj/vP766/hSf8LXzFy7dg1ubm64cOGC6YX0+fPno3jx4pn22dnZ4ZdffkFEREReto2IiIjEjUjgz9HAtAZaxXZ9OB/wNzDgL8DLH4WNhPXn6lXAhrdbY/qr9eHn5oTbiQ8wdXOICuvSw37rDsM6ESGtNtajtk8++cSobVuzZo1B99Nv1tbWqgN07NixuHcvtdaIkXz77bcqnMqmr0Wmt2fPHjRs2BAPHjx47PMcOXIE69atw+jRo9P2SRHyrN+rLl26ZHqcrCLWt29fODs7o0SJEhg8eDDi4+Mf+VqJiYkYMWIESpcuDScnJ7zwwgu4fPlypufs3r27uk1Ghx86dCjT4+WxWd+rq6urqsn28ccfwySGu0txuFq1asHS0lJdfpQ6derkVduIiIiKttgIIPg74MivQErqH0Ay11yGtXu2QFEgYb17XXd0q10e645fxLTNITh7OV59nb89Qg2Bl3nrJRzydvg9EZmXixcvpl3+/fff8dFHH+HMmTNp+ySM5cb9+/dhm8fTegztEJWQmpSUpELtwIED4ejoiM8++wzGINlPPsu//vpL1SZ79tln0alTJ9SuXVsF82HDhmHu3LnqpMLjTJ8+HS+99NJD3wt5v/K+M3YAZyQBXb6/GzduVJ+LfCZvvPEGli5dipy88847+Pvvv7F8+XK4uLhg5MiRqqbajh071O1ffPEFbt++jYMHD2L27NkYOnQo9u/fr27bvXu3Ovkwbdq0h55XXltOSkyaNAmlSpWCUXvS69Wrp7r39ZflbIN81W/66/KViIiI8iCc/zECmN4QOCTzzh9oVdoHbQD6/1lkAnpGlpYWeLaOO9aPaY1ZfRugWrniuH3vAaZvCUWrb7Zi0obTuJGQWjyPiIocmYKr3ySUSY+s/npCQoIKemXLllUBsXHjxti0aVOmx1euXFkFYekplR5bCYFi3rx58PDwgIODA3r16oXvv/9e9eZm9Mcff6BBgwawt7eHt7c3JkyYkNazLM8r5LHSJv31nMhzS5vlNSUQS5FuCZJ6YWFhat+j3susWbPg5+en2iP3e/HFF9NuS0lJwVdffaUKgMsU5rp162LFihU5tuf06dOqE7Zdu3ZqerNcln1Cgmrr1q1VGx4nOTlZvY70XmcloTzj969kyZJpt506dQrr16/Hjz/+iKZNm6JVq1Yq7P/222+IiYnJ9rVu3bqFn376SX2vpN0SquUkwM6dO1UA1z+vLCtepUoV9b2W60JOAsiJhzlz5sDKyuqh565Zsybc3d2xevVqGL0nXYaxlylTJu0yERER5YPrYak9578BumRtn6xv3uZ9oFJTY7fOZML6M7XLo0vNcvj35CVM2RSC05duY+bWMCzYcU4t2yZrrZdyZM86UZ5LSMj5Ngk09vaG3VeWdMxQ4yrH+zo6Ii/I0OhnnnlG9Z5KIFy4cKEKi9LTnrGmlgzrll5j/XBm6XWVwPbNN9+gR48eKgx/+OGHmZ47ODhYBXvpdZUlqiVE6wO+PM++ffvUMHF9D3l2wS8nZ8+exZYtW9SQcEPfi/QGy3DyRYsWoUWLFmpYt7RRTwL64sWLVQiVIB8UFITXXntNZb02bdo81AbpMZd2nD9/XvWky2UZYS3vU97TgQMHDO6Rl/DcqFGjh27btm2b+owknEuo/vzzz9UwdbFr1y514iLj4zp06KBGeEtvt5z8yEraJGFb7qdXrVo19fnI8zVr1kydnJDPdsiQIdiwYUPaaPCJEyciICAg23bqNWnSRH2mMuw+3+iKmFu3bskacuqrqbt//75uzZo16iuRKeIxSqbObI7Ra6E63ao3dbpPSup0Hztr26Lndbrze3UmIz5eFmHVNrlsIpKTU3T/HLuo6zolSOc5/i+1Vf/wH91X607prt1O1Jk6szlGqci4e/eu7uTJk+qrSE5O1t24cUN9TfsZkN32zDOZn8jBIef7tmmT+b6urtnf7wnNnz9f5+Li8sj71KxZUzd9+vS0656enrqePXtmus/LL7+s69atW6Z9ffv2zfTc7du313355ZeZ7rNo0SJd+fLl065L9li9evVj2y33s7e31zk6Ours7OzU9WefffaxPx8yvpeVK1fqnJ2ddXFxcQ/dLzExUefg4KDbuXNnpv2DBw/Wvfrqqzk+/+zZs3VVqlRRm1zWv295T8uXL1evX69ePV1gYGCOzyH3tbKy0qWkpGTa/+uvv+r++OMP3dGjR9V9qlevrmvcuLHuwYMH6vYvvvhCvW5WZcqU0c2aNevhY1Sn0y1ZskRna2v70GPkeceNG6cu37x5U73nSpUq6Vq3bq07ceKE7uzZszo/Pz/dtWvXdG+++abOy8tL99JLL6n7ZvTOO+/oAgICDPr/86Q51OAl2OSsyc2bN9WZA73NmzerMx0yhESWYfuvLMlCREREhrkWCgRNAo4tA3Qp2j6/TkCb8UDFnM/iU+ae9S61yqFzzbLYePKyKix3IiYOcwLDsHDXObzezBNDW3vD1SnzHEciKjqk91kKx8kcZZnbLEPR7969q3qHM8raeyq901l7aiULyfxsPZk3Lj3u0rOdcWi3FC67c+eOGiafG5MnT1Y9wPIcoaGhqnCcVESX4d2GvJeOHTvC09NTDbuXnnvZ5D1IO+T5pE1yn6zz7x81bVlGE8imJwXDpZB48+bNUbVqVTVaQCqey/BxGXWddU65kDbKfhnyn5E8JmOvvfRo+/j4qN71/FziW6ZEZJ3TLr34MoR/yZIlCA8PV99/mav+6aefZioiJ9ME5HPMTwaH9PHjx6sPTh/S5RsgQytkWId8mDJ0Qr75b7/9dn62l4iIyPxdPauF8+MrMoTzzqnhvCFMkgxj3bs3/bKJkT/8OtUsh441ymLzqSuYsvksjkfH4YegcCzcFYnXm3tiqL83yhRnWCd6Yo+qqJ11GPeVK48e7p7RuXPIT++++64qOibD2X19fVXIknnaEk4zkgJtuSWhWeagS1GyrGROeG7JnGxpo5AALMXNXn31VdUxKvsf914kPMscdgm5//77rxq+L6FegrS+IroE/AoVKmR63eyCdXakTpm8XxkmL8PNZU63DJuXTYaYS8euZMaspDK6BNvHFeSTkwuurq7qhIKEdPk8rmQ5luTEhAzjl9ty+gzldaSDOWP9AKnuntNjZOi+3Ffm+8v3UjqgbWxsVKE7+QwzktfWTwU3ekiX+Q3jxo1Luy5nGOSbImP4hQR1mcTPkE5ERJSDq2eAwInA8ZUy4k3bV6Ur0GYcUKEBTJr8AW5AcSBTCOsdapRF++pu2HL6iupZP3rhFuaqsH4OrzX1xBttvOFW3PRONBCZvNyE2Py67xOQnm6Z163vFZewes6AEwP6XuKMsl6XgnHS46oP1tmRsCc9409CP4ddeqINfS9SaV1642WTefESPmX+tfSgSxiXXvfs5p8bQqqmy1axYkX1WUgwzxiec3qfUmRcnDx5Mu1ydqRH/vr16yhfvry6Lr31ErZlnrkUgBPyXqQAnhSSy47cTz5zGfUtS68J+R7J+5bny+rq1auqt3z79u3qurwH/fuSr1nf0/Hjx9W8dZMI6XLWRL4Zelu3bs1UnU8a+p///CfvW0hERGTurpwGgiScr0oP51W7aeHcPec/Vujpwnr76mXRrpobtp25iimbQ3Ak6iZ+3B6BRbsj0bepJ4ZJWHdmWCcq7KSXd9WqVSq7yM8GKf4mIe9xRo0apaqXS5VweayEw3/++SfTkG3pZZUq7FKUTHq0paCZDIGXICe930IquktgbNmypQrJGauXZyWB9NKlS6p9ISEhKjxKx2j16tUNei8yFF+Gaku75XVkXXK5XU44SC+79MRLyJZ9UildirlJ8JeK9v3793/k5yE9+NJTLsPdhVR1l0rv8plERUWpEwryOtmRnmc5oSFBWB/S9aMQJEhLD7cUo5NOYV9fX3Tu3FndR963DNmXYedS7E5CsyynJsPkpcq6iI6OVr3uUkRPisLJUHYp6iZTBWSZNHlv8r2UgC63ZyWdzJJj9aML5PskhfdkqTlZXk6u68loADlh8OWXXyJf6Qzk7u6u27Nnj7osk/KlIMFff/2VdrtMkJd9po6F44jyDo9RMnVGP0YvndDplvXX6T52SS8I92sfnS7msM7s3Lun002cqG1y2cxIsaKtpy/rnpuxPa3AXJX/rdN98udx3aVbDxf4KTLHKFFuCseZiayF4yIiInRt27bVFStWTOfh4aGbMWOGrk2bNroxY8ZkKhw3efLkh55r7ty5ugoVKqjHSmG5zz//XFeuXLlM91m/fr2uRYsW6j6Sh5o0aaIep/fnn3/qfH19ddbW1up1cpJ6FldtFhYWqvicFK8LCwsz+L0EBwer6yVLllT3qVOnju7333/P9LNwypQpuqpVq+psbGxUAbbOnTs/suibuHPnjirgdujQoUz7582bpytbtqwqwJYxG2ZHCr01a9Ys03N26tRJtUHaIp/N0KFDdZcuXcr0uOvXr6sib05OTurzHThwoO727dtpt8vnI5/Z5s2b0/bJ8Tt8+HD1OUixvF69eukuXrz4UJvkeyffr4zHd0JCgioYV7x4cVUg7/Lly2m3LV26VH12OcmrwnEW8o8hYV7WFoyLi1Pr7smi8DJ0Qs7y6OdurFy5Up3pkTNHpkzeg5xdkbNGclbFlMmZIjn7JcssyJANIlPDY5RMndGO0csngMBvgJN/pO+r3l2bc17u4bl6ZkGWSHJy0i7LvMZ8Hp6aX+TPnqCQa5i66SwOnr+p9tlaW6JPk0oY1sYH5VwKtmedP0fJ1EjBM6k9Jetoy5xq6XGVv5/l72bpJS7qpEdXeo8zLmtGhpEh+9LT/vvvv2c77PxJpRTgMSo98bLEXZ8+fQz6//OkOdTg4e5SsVBfLVCGMshagBmLK8iQAKmIR0REVGRdOqaF81Nr0/fVeA5oPQ4oV8uYLaNUMjy0TZUyaO3niu2hEtZDsD/yBhbsPIele8/jlcYeeCvAB+VdMqzhTERFlhRokwwkuUeGdctQb+m0pNyTIncyJF2mUZuja9euqaJyUsgvvxkc0mUuxalTp3DixAk1p0A/B0BP5hNknLNORERUZFw8qoXz0/pleSy0cC5zzsvWNHLjKKew7u9XBq18XbEz7DqmbDqLfeduqErwv+2NwsupYd29BMM6UVG2d+9eTJw4UVVZl8rj0lE5ZMgQYzfLbOV3wbX8JFXnMxZSN4mQru5sbY26detme1tO+4mIiAqti0eAbd8AZ/5O3WEB1OylhXM3rcgPmX5Yb+nrihY+pbFLwvrmEOyNiFXF5X7bdx69G3lgeFtfVGBYJyqSli1bZuwmUBGUq5BOREREAGIOaeH87D+pOyyAWi8Ard8D3KoZuXH0pGG9hYR1X1ctrG86iz0RsViy5zyW7Y/CSxLWA3xQsaSDsZtKRESFHEM6ERGRoaIPasPaz67XrltYpofzMtkvO0Pmp7lPaTT3aY7d4dfVnPVd4dexdM95LN8fhRcbVsTwAF94lGJYp8LNwNrSRJQP/28Y0omIiB7nwgEg8Gsg5N/0cF77JS2cu/oZu3WUT5p5l0azN0qr4e9TN5/FjtDr+HVvFJbvv4AXGlTEiLa+qFSaYZ0KF/0qA7IetBT6IiLD3b9/X32VQusFFtIfPHigFm4fNGgQi8QREVHhF7VPC+ehm9LDeZ2XAf93AVdfFCmylMzWremXi5AmXqWwZEgz7DsXq3rWpSr87/ujsOKghPUKGNnWj2GdCg0JFyVKlMCVK1fUdVlGSoKHLC3FJdjIFKWkpJjEMSrtuHr1KhwcHFQttwItHDdp0iT069fvqV6UiIjIpEXtBbZ9DYRt1q5bWGnhvPW7QGkfFEnSK2DGVXnzQuPKpbB4SFMciIzFlE0hCA65hmX7L2DlwWj0qi9h3ReVXc1z/XiijMqVK6e+SlCX4buyvrX0qkvtBiJTozOhY1ROElSqVOmp25HriC9roQcGBqol2YiIiAqV87u1cB6+NT2c130VaP0foJS3sVtHJqKhZyksGixh/QambQ5B4NmrWHHgAlYfisZz9dwxqp0fvBjWyYxJwChfvjzc3NxU+JG//Vu3bp02FJ7IlCQlJSEoKMgkjlFbW9s86c3PdUjv2rUr3n//fRw7dgwNGzaEo2PmX0I9evR46kYREREVqMidWjiPCNSuW1pr4dxfwrmXsVtnGpKSgLlztctvvCETV1HUNfQsiV8GNcGh8zcwdXMItp25ilUHo7HmUDR61quAke184V3GydjNJHqqoe92dnZqyqsMezd2ACLK6TgtbMdorkP68OHD1dfvv/8+27NuycnJedMyIiKi/HZuhzbnPCIoPZzX66OF85IcMZaJFMMZOVK7PGAAQ3oG9SuVxIKBTXA46qbqWd9y+gpWHYrGmsPR6FHXHSPb+cHXjWGdiIjyKaTLhHgiIiKTl5IMi8jtqBC7CxaRzoB3a8AytdpqRLC2lNq5YO26pQ1Qvy/QaixQ0tOozSbzVc+jBH4e0BhHL2hhfdOpK1hzOAZ/HIlB9zruGN3eF75uxdPun5yiU2uxH7hmgdIRsWju6wYrS875JSIq6p6q7JxU0JNhBURERCbl5J/A+vGwjotBI7keORtwdgca9NcCeuT29HDe4HWg1TtAiUpGbjQVFnUqlsCP/Rvj2IVbahj8plOX8eeRGKw9GoNnJay380XY1XhMWHsSF28lymBNLAzZj/Iu9vi4ew10qVXe2G+BiIiMKNez2mU4+2effYYKFSrAyckJ4eHhav+HH36In376KT/aSERElLuAvqwfEBeTeb9c3/aVFtCtbIFGg4HRh4BnJzOgU76oXdEFP/ZvhL9GtUKnGmWh0wFrj8Sg4+QgDFt8MDWgp7t0KxFvLT6I9ccvGq3NRERkhiH9iy++wIIFCzBx4kRVvU6vVq1a+PHHH/O6fURERIZLSVY96IAu5/vYOgIjDwDPfg+U8CjI1lERVauCC+b2a4S/R7dC5xplc7yf/qiVHnYZCk9EREVTrkP6woULMXfuXPTt21dV0tOrW7cuTp8+ndftIyIiyl2V9qw96FndTwBuRhZUi4jS1HR3wYCWj14tQKK59LDvjYgtsHYREZGZh/To6Gj4+vpmW1BO1qgjIiIyChlLHLrJsPvGX87v1hBl68rtxDy9HxERFT65LhxXo0YNBAcHw9Mzc/XbFStWoH79+nnZNiIiIsPDuaxzHr3fsMc45TzkmHJgZwf89Vf6ZXoibsUNK7i7cFckfMo4qaHyRERUtOQ6pH/00Ufo37+/6lGX3vNVq1bhzJkzahj8X/pf3kRERAURzkP+1cJ5zEFtn5U9IFOx7t/JYV66hVbl3bNFQbfW/FlbA926GbsVZq+JVylVxV2KxD1q1vmByBt4dvp2dKheFmPa+6kidEREVDTkerj7c889h7Vr12LTpk1wdHRUof3UqVNqX8eOHfOnlURERBnD+Zl/gHltgaW9tYBuXQxoPhJ45xjQc07qHbOuN516vcvX6eulExUwWQddllnL6QiVTW5/rp47ZMl0Wb6t+4ztGLxgn1p/nYiICr8nWifd398fGzduzPvWEBERPS6cB34NXDyi7bNxABoPAVqMBpzKaPtq9AB6L9SqvGcsIic96BLQ5XbKPak7s2SJdrlvX8DGxtgtMluyDvrs1xpkWCddUy7LOumj2/thxpZQ/HE4GptPX1Fb26plMKZDFdTzKGHEd0BERCYX0omIiAo0nJ/+Gwj8Brh0VNtn4wg0SQ3njq4PP0aCeLVueBAehMPBG1DPvzOsvVuzB/1p3L8PDByoXX7pJYb0pyRBvGONctgVegX/Bu9BJ/+maO7rpnra9WRO+uSX62FUO18V1tccjsbWM1fVFiBhvb0f6lcqadT3QURERgrpJUuWhIVF1kFZ2YuN5ZIhRESUB1JSgNN/AYETgcvHtH22TkCToUDzUYBj6Uc/3tIKOs9WiD4Rh7qerRjQyeRIIG/qVQrXT+nU14wBPSPvMk74XsJ6as+6hPVtZ66qrXUVLaw39GRYJyIqUiF9ypQpaZevX7+Ozz//HJ07d0bz5s3Vvl27dmHDhg348MMP86+lRERUhML52tRwfjw9nDd9U5t37lDK2C0kMgovV0d817uu6lmfuTUUqw5FI+jsVbX5+7mqsN6oMv9/EBEViZAu1dz1XnjhBXz66acYOXJk2r7Ro0djxowZqpjcO++8kz8tJSKiwh/OT/2hhfMrJ7V9tsVTw/kIhnOiVJVdHTHppboYmRrWVx6MRnDINbW18nXFmA5+aMywTkRUdKq7S495ly5dHtov+ySkExER5UpKMnB8JTC7BbB8gBbQ7ZyB1uOAt48C7T9kQCfKhmdpR0x8sS62vRuAVxp7wNrSAttDr+GlObvQZ95u7Am/buwmEhFRQYT00qVL448//nhov+yT257EzJkzUblyZdjb26Np06bYu3fvY4ffV61aFcWKFYOHh4fqvU9MTK+OSkREZhLOj60AZjUHVgwCrp4C7FyANu9r4bzd/xjOiQzgUcoBX79QB1vfDcCrTSqpsL4z7Dpenrsbr8zdhV1hDOtERIW6uvuECRMwZMgQbNu2TQVqsWfPHqxfvx7z5s3LdQN+//13jB07FnPmzFHPJwFc5rufOXMGbm5uD91/6dKleP/99/Hzzz+jRYsWOHv2LAYMGKAK233//fe5fn0iIjJGz/kqIGgicO2sts/eBWg2HGg6DCjGpaWInjSsf/V8bYxo64NZ28KwfH8UdofHYnf4blWYTobBN/cubXAxYCIiMpOQLoG4evXqmDZtGlatWqX2yfXt27enhfbckGA9dOhQDExd1kXC+t9//61CuITxrHbu3ImWLVuiT58+6rr0wL/66qvqRAEREZmw5AfasPagScD1EG2ffQltvrnMO5egTqbLzg5Ytiz9MpmsiiUd8GUvCeu+mL0tFMv2XcCeiFj0mbcHTSprYb2FD8M6EVGhCOlJSUl48803VRX3JUuWPPWL379/HwcOHMAHH3yQts/S0hIdOnRQFeOzI73nixcvVkPimzRpgvDwcKxbtw6vv/56tve/d++e2vTi4uLS3otspkzfPlNvJxVdPEbJICkPYHFiFay2fwuL2HC1S1esJFKavIWUxkMBu+La/fLhOOIxmsd69kxfu56fqckfo26O1vi4WzW80aoyfgiKwLIDF7D3XCz6/rgHDSuVwKh2PmjhXYphnR6JP0fJ1CWZyTGam/ZZ6HTym9ZwLi4uOHz4MLy8vJ6kbZnExMSgQoUKqndcv5ybGDduHAIDA3PsHZde/HfffRfS9AcPHmDYsGGYPXt2tvf95JNP1BD97IbNOzg4PPV7ICKi7FnoklExdieqXP4TTvcuq333rRwR6tYVEWU64oFVMWM3kahIuXkP2BRjiV2XLfBApwVzr+I6dKmYgqouOjCrExHlnzt37qjR4Ldu3YKzs3PeDnfv2bMn1qxZY7Sl1mQu/JdffolZs2ap4fWhoaEYM2YMPvvss2zXaZdeepnznrEnXYrNderU6bEfjimcbdm4cSM6duwIGxsbYzeH6CE8RilbyUmwOL4cVjsmw+JGhNqlK1YKKc1GwKLhIPjZFYdfATWFx2geevAAFmvWqIs66VG3zvWfEGQCx6hMFrwUl4h5wefw2/4LiLidgtmnrFDPwwWj2/qglS+HwVNm/DlKpi7JTI5R/YhuQ+T6N6yfn59aJ33Hjh1o2LAhHB0dM90ua6YbytXVFVZWVrh8Weth0ZPr5cqVy/YxEsRlaLsUrxO1a9dGQkIC3njjDfzvf/9Tw+UzsrOzU1tW8g005W+iubaViiYeo6QkJwFHfgOCvwVunNP2OZQGWoyCReOhsLJzgpWRmsZjNA/cvw+k1oNBfLx8qMZuUaFSkMeoR2kbfNqzNka088OcwDAs3XMeh6NuYdDCg6jnUULNWQ+oUoZhnTLhz1EydTYmfozmpm25Duk//fQTSpQooeaSy5aR/DDPTUi3tbVVQX/z5s2qh16kpKSo6yNHjsxxmEDWIC5BX+Ry5D4REeVVOD+8FAj+DrgZqe1zcAVajgYaDQbsnIzdQiLKRllne3zcvSbeauODH4LCsWRPJA5H3cTA+ftQt6KLCuttq7oxrBMRFbBch/SICG3oYl6Roej9+/dHo0aNVCE4WYJNesb11d779eun5q1/9dVX6nr37t1VRfj69eunDXeX3nXZrw/rRERUAB7cBw4vAYK/B26d1/Y5lgFajgEaDQJsM4+0IiLT5OZsjw+frYE323hjXlA4Fu2OxJELtzBowX7UkbDe3g/tqjGsExEVlCeeUHbt2rW0IetP4+WXX8bVq1fx0Ucf4dKlS6hXr55ac71s2bLq9vPnz2fqOf+///s/9UtCvkZHR6NMmTIqoH/xxRdP1Q4iIspNOF+cGs6jtH2ObhnCOYtyEpkjt+L2+F+3GnijtQ/mBYdj0a5IHL1wC4N/2Y/aFVwwur0fOlRnWCciMqmQfvPmTTXv+/fff8eNGzfUvpIlS+KVV17B559/robBPwkZ2p7T8HYpFJepwdbW+Pjjj9VGREQF6ME94NAiIHgyEHdB2+dUFmj5NtBwAMM5USFRprgd/vtMdbzR2jstrB+LvoWhC/ejpruzCuudapRlWCciMnZIj42NVcukSe913759Ub16dbX/5MmTWLBggZpHLkupSWgnIqJCJClRC+fbJZxHa/ucygGt3gEa9gdsuJQaUWHk6mSHD7pWxxv+3vhxewQW7jyHEzFxeHPRAVQv76yGwUtYt7RkWCciMkpIl4ruUugtLCwsbSh6xttkSTP5Onny5DxtIBERGTGcH1yohfPbMdq+4uW1cN5Awrm9sVtIRAWgtJMdxnephqES1oPD8cvOczh1MQ7DFh9AtXLFVVjvXLMcwzoRUUGHdFkb/YcffngooAtZLm3ixIkYNmwYQzoRkblLugsc+AXYMQW4fVHbV9wd8B8L1H+d4byosrUF5s9Pv0xFTilHW4xLDes/bY/Agp3ncPrSbby15CCqli2uhsF3rcWwTkRUYCH94sWLqFmzZo6316pVSxV+IyIiMw7n++cDO6YC8ak/z50rpIdzaztjt5CMSdZ3HTDA2K0gE1DS0Rbvdq6KIf5e+Hl7BObvOIczl29jxNKDqFLWSYX1Z2qVZ1gnIsrvkC5V3M+dO4eKFSvmuDRbqVKlnrQdRERkLPfvAAf04fyyts/FQxvWXv81hnMiylYJB1uM7VQVg1t546cdEtYjcPZyPEYuPQQ/txCMau+HbrXLw4phnYgoV9LXNnuMzp07q8ru9+/ff+i2e/fuqbXKu3TpkrtXJyIi47mfAOycDkytC2z4rxbQXSoBz04BRh0EGg9mQKd0Dx4Af/+tbXKZKJWLgw3GdqyC7ePb4e0Ofihub42QK/EY/eshdJociD8ORyM5RWfsZhIRFc7CcY0aNYKfnx9GjBiBatWqQafT4dSpU5g1a5YK6osWLcrf1hIRUd6E830/agE94aq2r0QlwP9doO6rgDXnG1M27t0Dnn1WuxwfL2uiGrtFZGJcitng7Q5VMLClFxbsOIeftocj7GoCxvx2GFM3h2B0Oz90r+vOnnUioscw+DesDHPftWsXhg8fjg8++EAFdCFrZHbs2BEzZsyAh4eHoU9HREQF7V58eji/c03bV8ITaJ0azq1sjN1CIiokYX1MBz8MbFUZv+w4p5ZvC7+agLd/P4xpm0Mwsp0vetR1h7WVwQM6iYiKlFydBvfy8sI///yDGzduICQkRO3z9fXlXHQiIlN27zawdx6wawZw57q2r6SXFs7rvMxwTkT5wtneRs1LH9CyMhbuisS84HCEX0vA2GVHMH1LKEa09UXPegzrRERZPdFYtZIlS6JJkyZP8lAiIiooiXHA3rnArpnA3dj0cN5mHFC7N2DF4cpElP+K29uoQN6/RWW1xrqstR5xLQHvLpewHoKRbX3Rq34FhnUiolT8C42IqFCG8x9Sw/kNbV8pH6D1e0DtlxjOicgonOysVVgf0CK9Zz3y+h28t+Ko6llXYb1BBdgwrBNREce/1IiICovEW8Ce1HCeeFPbV9oXaD0OqPUCwzkRmQRHO2u8FeCDfs09sXh3JOYGheN87B2MW3kU07eGYESAL15oWJFhnYiKLP7FRkRk7u7e1ML5bgnnt7R9pf2ANuOBWs8DllbGbiERUbZh/c02Png9Q1iPir2L91cd03rW2/nihQYVYWvNsE5ERQtDOhGROYfz3bO17V5qOHetqs05r9mL4Zzylq0tMGNG+mWiPOJga403Wvvg9WaVsWRPJOYEhiP65l18sOoYZmwJxfC2PnipoQfDOhEVGQzpRETmRuaZ75oF7JkD3IvT9pWppoXzGj0Zzil/2NgAI0YYuxVUiBWztcIQf2/0beqJpXvPY05gmArr/1t9HDO3hOKttr7o3agi7Kz5M46ICjeGdCIic3EnFtgt4fyHDOG8OhAwHqj+HGDJXiYiKhxhfXArL/RtWglL92hhPeZWIj5ccxyztoZieIAPejf2YFgnokKLIZ2IyBSkJAORO4H4y4BTWcCzRXqPuIRzWeN8z1zg/m1tn1tNree8eg+GcyoYyclAcLB22d8fsGJAovxlb2OFQa280KdpJfy29zxmB4bhooT1P05g5tYwVXzu5cYe6n4iOUWHvRGxuHI7EW7F7dHEqxSsLC2M/TaIiHKNIZ2IyNhO/gmsHw/ExaTvc3YH2v4fcD0E2DsPuB+v7S9bWwvn1Z5lOKeClZgItG2rXY6PBxwdjd0iKiIkhA9o6YVXmlTCsv1RmLU1DJfiEvHxnycwa1sohrXxQWlHW3z1z2kV4vXKu9jj4+410KVWeaO2n4gotxjSiYiMHdCX9QOgy7xfAvsfw9Ovl5Nw/j5Q9RmGcyIqsmG9X/PKqvd82b4ozNqm9axPWHsy2/tfupWItxYfxOzXGjCoE5FZ4V96RETGHOIuPehZA3pGljZA78XAm8FAdfaeExHJXPTXm1fGtvcC8OlzNZHTiHb9T1YJ8TIUnojIXPCvPSIiY5E56BmHuGcnJQkoVgKw4LxKIqKsYd3PrTgelb/lJultl7nqRETmgiGdiMhYrp417H5STI6IiB4iReIMceHGnXxvCxFRXuGcdCKignb7ErBjqlYQzhBS7Z2IiB4iVdwN8dlfJ3E94T5eb+YJRzv++UtEpo0/pYiICkrcRWDHFODAAuBBau+PlQ2QnJTDAyy0Ku+yHBsRET1EllmTKu5SJC6nUe9WFhaIS3yAr/85jblB4Rji76UK0DkxrBORieJPJyKi/CbzzrenhvPke9q+ik2AgPe1pdWW9U+9Y8Y/MVPnoHf5On29dCJjsrEBJk5Mv0xkAmQddFlmTaq4W2T/UxRTX62Hu/eTMWNrKCKv38HE9WcwT4V1b/RvwbBORKaHP5WIiPLLrWhg+2Tg4ML0cO7RDAgYD3i3TS8G13th9uukS0Cv0cM4bSfKytYWeO89Y7eC6CGyvJossyZV3DOuk14uyzrpvepXwB+HY1RYj7iWgEkbzmBecDiGtPJSYb24PU8+EZFpYEgnIsprty4Awd8DhxYByfe1fZVaaOHcq83DldoliFfrplV7lyJxMgddhrizB52IyCASxDvWKKequEsxOZmrLkPhpaddz9rKEi80rIjn6rlj7dEYTN8civBrCfj237OYFxyBwa28MKBlZTgzrBORkTGkExHllZtRwPbvgYOLtKXThGdLbVh7Zf9HL6MmgdzLv8CaSpRrycnAwYPa5QYNACueRCLTIoG8uU/px95Pwnqv+hXRo24FrD0Sg2lbQhB+NQHfbzyLH4PDMbiVtwrrLsUY1onIOBjSiYie1s3zQPB3wKEl6eFcQnkb6Tln8KZCIjERaNJEuxwfDzg6GrtFRE8d6nvWr4Dudd3xl/SsbwlF6JV4TN50Fj9uD8egll4Y1MqLYZ2IChxDOhHRk7oRqYXzwxLOH2j7vFoDbaTnvKWxW0dERAaG9efqVcCzddyx7thFTNscgpAr8Zi6OQQ/74jAwJZeGNzSCy4ODOtEVDAY0omIcis2QgvnR37NEM7baMPauVwaEZHZhnXpVe9WuzzWHdfC+tnL8err/O0Ragi8zFsv4WBr7KYSUSHHkE5EZKjYcCAoNZzrkrV9UqVdwnmlZsZuHRER5QFLSwvVq/5MrfJYf+KSCumnL91Ww+Hn7ziH/i08MaSVN0o6MqwTUf5gSCciepzrYak957+lh3Of9lo490ido0tERIUurD9Tuzy61CyHf09ewpRNWlifuTUMC1RYr6zWWi/FsE5EeYwhnYjoUeE8aBJwdFl6OPftoM0592hs7NYREVEBhXVZ4q1TDQnrl1XP+smLcZi1LQwLdp5Dv+aVMdTfC6Wd7IzdVCIqJBjSiYiyuhaihfNjywFdirbPr5NWrb1iI2O3joiIjBbWy6FzzbLYePKyKix3IiYOcwLDsHDXObzezBNDW3vDlWGdiJ4SQzoRkd7Vs1o4P74iQzjvnBrOGxq7dUTGZWMDfPxx+mWiIsrCwgKdapZDxxplsfnUFUzZfBbHo+PwQ1A4Fu6KxOvNPTHU3xtlijOsE9GTYUgnIrp6BgicCBxfCUCn7avSFWgzDqjQwNitIzINtrbAJ58YuxVEJhXWO9Qoi/bV3bDl9BXVs370wi3MVWH9HF5r6ok32njDrbi9sZtKRGaGIZ2Iiq4rp7RwfmJ1ejiv2k0L5+71jN06IiIyk7DevnpZtKvmhm1nrmLK5hAcibqJH7dHYNHuSPRt6olhEtadGdaJ/r+9OwGrqtrbAP4yIyAqICCKA4PiPKAizrNNlo1mpqamN4e0vN2s77tNt76bZtcsM71aNmqaVpoNpqLihOA84QCCgCIgoqLgCOd7/mtzGBQVDdn7cN7f8+w4e519YHFYCe9eE5UNQzoRWZ/0WGCDhPNlReE85CEtnNdqqXftiIwpPx84eFB73LixTNDVu0ZEhgvrPUK80b1RTUQeOaVWg9+dchbzNydiQXQSngmrixe6BcKHYZ2IboMhnYisR/oBIHIqELu8qKxxf23OuW9zPWtGZHwXLwLNmmmPL1wAXF31rhGRYcN690be6NawJjbEZeLjNUewM/ms2mN9QXQynmmvhXXfagzrRFQ6hnQiqvzS9mnh/OCKorImjwBdXwV8C0IHERFROYd1Cepdg72wKV7Cehy2J51R27YtjEnG0+38MaZ7IGpVq6J3VYnIYBjSiajyOrlXC+eHfi0osNHCuQxr92mqc+WIiMhawnqX4JroHOSFLUdPY8aaI9h27IxaCX5RTAoGFoR1v+oM60SkYUgnosrn5B5g/VTg8G8FBTZA00e1cO7dWOfKERGRtYb1TkFe6BjoiSgJ6xFxiEnMUovLLdqWjKfa+mNsjyDUZlgnsnoM6URUeaTu0sL5kT8KCmyAZo8DXf8BeIfoXDkiIiItrHeUsB7kpYX1NUcQnZil5qv/sD0FT0pY7x6IOjVc9K4qEemEIZ2ILN+Jndqw9iMrtXMb26JwXrOR3rUjIiIqVXigJ8IDw7E14bSasx6VcBoLo5OxZHsKngitg7Hdg+DvwbBOZG0MsX/KrFmzUL9+fTg7OyMsLAwxMTG3vP7s2bMYN24catWqBScnJzRs2BC///57hdWXiAzi+A5gwZPAvB5aQJdw3mIgMC4GePxzBnQiIrIIHQI88f3oDvjhb+HoFOSJq3kmfB+Tgh4frsfkpXuRfDpX7yoSkTX1pC9evBiTJk3CnDlzVECfMWMG+vXrh8OHD8Pb2/uG669cuYI+ffqo55YuXYratWsjKSkJ1atX16X+RKSDlG1A5BQgfo12bg7nXV4BvIL0rh1R5eTgALzyStFjIip37Rt4YMHzHbDtWJbqWZdV4RdvT8HSncfxeJvaGN8jGHU92bNOVNnpHtKnT5+OUaNGYfjw4epcwvpvv/2G+fPn47XXXrvheinPysrCli1b4FDwR4L0whORFUiJAdZPAY5GaOc2dlo47/oK4Bmod+2IKjdHR2DaNL1rQWQV2tX3wHfPh2FHUhZmrInDxrhM/LD9OH7ceQKPtpawHoT6Xq56V5OIKmNIl17xHTt24PXXXy8ss7W1Re/evREVFVXqa3755ReEh4er4e7Lly9HzZo18cwzz2Dy5Mmws7O74frLly+rwyw7O1t9vHr1qjqMzFw/o9eTrFdFtVGblGjYbpwG28T16txkYwdT84HI6/wyUKOBuTL3tA5kmfjvKBkd2yjdSgu/qpg/tA12JZ/Fp+uPYkPcaSzdcRw/7zqBh1v4Ymz3ANT3vLdhnW2UjO6qhbTRO6mfjclkMkEnqampari69IpL8DZ79dVXERkZiejo6BteExISgmPHjmHw4MEYO3Ys4uPj1ccJEybgrbfeuuH6t99+G++8884N5QsXLoSLC4cLERmZx4XDCDn5M2peiFXn+bBDimdnHPHpj1ynG6fDENE9lJ+PKqdOqYcXa9aUu+p614jI6hw7D6w8bouDZ7X//2xgQlsvE/rWyYc3d24jMrTc3FzVuXzu3Dm4u7tXrpAui8RdunQJiYmJhT3nMmR+2rRpOHnyZJl60v39/ZGZmXnbN8cId1tWr16t5uCbh/YTWUMbtUneovWcH9uozk229jC1eBp5nV4Gqtcrt69DlR//HS1HOTlwqFFDPbx65gzgyqG25YFtlO7GnuPn8Om6o1h/JFOd29oADzWvpXrWA2uW7/+bbKNkdFctpI1KDvXy8ipTSNd1uLtUUoJ2enp6iXI59/X1LfU1sqK7vPnFh7Y3btwYaWlpavi8o8yZK0ZWf5fjevI5jPxDtNS6knUqtzaauFHbSq0gnMPWAWg9GDadJ8GmRj1jbEdBFon/jpaDYu+fei/5fpYrtlG6E20beOGrBl7Ye/wsPomIw5qDGfhl70ms2HcS/Vv4YUKvIAR5Vy3Xr8k2SkbnYPA2eid10/VvXgnUoaGhiIiIKDaaLl+dF+9ZL65Tp05qiLtcZ3bkyBEV3q8P6ERkAWQwT+IG4MsHga8f0gK6hPO2I4AJO4H+HwM12HtORER0vRZ1quPzYe2wYnxn9G7so36l/rInFX0+2oAXv9+FuPTzeleRiO6C7h1Tsv3avHnz8PXXX+PgwYMYM2YMcnJyCld7Hzp0aImF5eR5Wd194sSJKpzLSvD//ve/1UJyRGRB5C+JhPXAlw8AX/cHkjYBdo5A25HAhF3AQx8B1evqXUsiIiLDa16nGj4f1ha/vtgZfZtoYX3FnlT0nbEB4xbuxOE0hnUiS6L7FmwDBw7EqVOn8Oabb6oh661atcLKlSvh4+Ojnk9OTlYrvpvJfPI///wTL7/8Mlq0aKHmtEtgl9XdiciCwrlspZayVSuTcN5mGCCrtVerrXcNiYiILFKz2tUwd2hbHEg9h5kR8Vh5IA2/7T2pjgea+2JCr2CE+Bp7TSYiMkBIF+PHj1dHadav17ZcKk6Gwm/dWvDHPRFZTjg/ulabc55SsCiknRMQOgzo9BLDORERUTlp6lcNc4aE4uDJbDVn/Y/9afh9n3bc30wL641rMawTGZUhQjoRVfJwHh8BRE4Bjm/TyuydgdDntHDuXkvvGhIREVVKEsRnPxuKQ2nZqmf9t30nVWCXo19THxXWJdATkbEwpBPRPQzna7Rh7Se2F4VzWRCu00Sgauk7OBCRQdnbA2PHFj0mIoshQ9xnDW6DCWnn8cnaOPy+7yT+PJCujj5NfDCxV7AaKk9ExsDfskR0d/LzYJO0CbWzomCT5A4EdAVs7bRwHrdKC+epO7Vr7asUC+faehNEZGFkO9NZs/SuBRH9BY18q2LWM23Uqu+frI3Hr3tTsTo2XR2yOryEdVmEziwv34ToxCzsyLSBZ2IWwoO8YSebshPRPcWQTkR3LvYXYOVk2Genoq2cJ80G3P2AFk8DCeuA1F1F4bzdSC2cu3nrXGkiIiISwT5VMXNQa0zsFYSZa+PVtm1rDqaro1eINyb2Dkbq2Yt4Z0UsTp67JIvI4Ju47ahVzRlv9W+C+5pxqhrRvcSQTkR3HtB/GCrj2UuWZ6cCm6Zrjx1cgHbPAx0nAG41dakmEZUzGSWTmak99vICbNibRmTpgryr4uOnW+PFnsH4dG2cCusRhzLUUZq0c5cw5rudmP1sGwZ1osq8TzoRWZD8PNWDfkNAL87RDZiwG+j7LgM6UWWSmwt4e2uHPCaiSiPI2w0znm6NNZO64dFWfje9zvzbX3rYZSg8Ed0bDOlEVHZJW7Qe81u5cgHIPFJRNSIiIqJyElDTDU+1q3vLaySayxD4mMSsCqsXkbVhSCeissnPBw7/VrZrL6Tf69oQERHRPZBx/lK5XkdEd45z0ono9uH84HIg8gMgI7Zsr3HjCu5ERESWyLuqc5mum7chAX7Vq6BdfY97Xicia8OQTkQ3n38euwyInAacOqiVOVYtGtJe6rx0G22V93odK7SqREREVD7aN/BQq7jLInG3mnW+PzUbT86JQsdAT7V1W1iAZwXWkqhy43B3IroxnO9bCnwWDiwdoQV0p2pAt9eAl/cBAz4ruPD6lZ0Lzu+bou2XTkRERBZH9kGXbdZu9ptejvcGNMOg9v6wt7XBlqOnMXDuVjw9NwpRR0/rUmeiyoY96URUFM73/wRs+KBo4TfnakCHsUDYC0CV6lpZk4eBp77RVnkvvoic9KBLQJfniYiIyGLJ9mqyzVrRPuka3+v2SR/XIwifrT+KJdtTsDUhC1sTtiKsgYfaZz08wBM23KqR6K4wpBNZu7xrwP4fgQ3TgNNxWplzdSB8HBD2Ny2oX0+CeMiDuJawAbs3/olWXfrBPqAre9CJKjN7e2DYsKLHRFSpSRDv08QXUfEZWLUxGn27hCE8yFv1tJvVqeGCfz/aXIX12evjsXhbCqITs/DMvGi0r++BlySsBzKsE90p/pYlsupwvlRbEC7rqFZWpYYWzttLOHe/9ett7WCq1xknDmSjZb3ODOhElZ2TE/DVV3rXgogqkARy6Rk/fdCkPhYP6MXVrl4F7w1ojrHdJawfVWE95lgWnvk8Gu3q18DEXg3RKYhhnaisGNKJrDGc7/tB6znPSigWzscD7UffPpwTERERlUJWe393QDOM7RGIOeuP4vttKdh27Aye/SIaofUkrAejS7AXwzrRbTCkE1mLvKvA3sXAhg+BM4laWRUPoOOLQPtRgFPByu1ERKUxmYDcXO2xiwvAP7KJ6CZqVauCdx5phjHdgzAn8igWxiRjR9IZDJ0fg9Z1q+Ol3g3RlWGd6KYY0omsIZzvWQRslHB+TCtz8QQ6TgDaPQ84ueldQyKyBBLQ3Qr+vbhwAXB11btGRGRwstDc2w83xZjugVpYj07GruSzGDY/Bq38q6sF5ro3rMmwTnQdhnSiyhzOdy8ENv4HOJuklbl4AZ0mAG1HMpwTERFRhfBxl1Xhm2JMt0D8d0MCFkQnYXfKWQz/chta1qmmwnqPRt4M60QFGNKJKptrV4DdC4CN04FzyVqZa02g00Sg7QjAkb1fREREVPG83Z3xxkNN8LduAZgbmYDvopOw5/g5jPhqO1pIWO8VjJ4hDOtEDOlElSqcf1cQzlO0MldvoPNLQOhwwNFF7xoSERERwbuqM/6pwnog5m1MwLdRSdh7/BxGfr0dzWtXw4RewejdmGGdrBdDOpGlu3YZ2PUtsPEjIPu4VubmA3SScP4cwzkREREZUs2qTvifBxpjdNeAwrC+78Q5jPpmO5r6uauw3reJD8M6WR2GdCJLdfWSFs43STg/oZW5+QKdXwZChwEOVfSuIREREdFtebk54fX7G2N0Fwnrifgm6hgOpGbjb9/uQONa7moYvIR125vs005U2TCkE1liON/5jRbOz6dqZVX9tHDeZijg4Kx3DYmIiIjumKebE167P0T1rH++MQFfbzmGgyez8cJ3OxDiW1WF9X5NfRnWqdJjSCeyFFcvAju+BjbPAM6fLArnXSYBrYcwnBPRvWVnBzzxRNFjIqJ7xMPVEa/eF4JRXQLwxaZEfLXlGA6lnceYBTtVWH+xZzDub8awTpUXQzqRJYTz7V8Cmz8GLqRpZe51gC4va+Hc3knvGhKRNXB2BpYs0bsWRGRFarg64pV+jfB8lwZaWN+shfVxC3eioY+bmrP+QLNaDOtU6TCkExnVlVxghzmcp2tl1fy1nvNWgxnOiYiIyCpUd3HE3/s2wvOdA/DF5kR8uTkRR9IvYPzCXQj2jsOLvYLxYPNasGNYp0qCIZ3IaK7kANvnA5s/AXIytLJqdYuFc0e9a0hERERU4aq5OGBSn4YY2bmBCurSux6XcQETvt+FTyLi8GLPIDzUwo9hnSweQzqRkcL5ts+BLTOBnFNaWXUJ568ALQcxnBORvnJyADc37fGFC4Crq941IiIrVa2KA17q3RDDOzVQQ+C/2JSA+IwLmLhoNz6OiMOEnsHo35JhnSwXQzqR3i5fKArnuZlaWfV6QNd/AC2fBuwc9K4hERERkSHD+sTewRjeuT6+3nwMn29KRMKpHLy0eLfqWR/fMwgPt/SDvZ2t3lUluiMM6UR6uXweiJkHRH0K5J7Wymo0ALq+ArQYyHBOREREVAbuzg5qXvpznerjm6gkzNuYgITMHEz6YQ9mro3HuB5BGNCKYZ0sB0M6UUW7lA3EzAWiZgEXs7QyjwCt57z5U4Ad/7ckIiIiulNVnR1UIB/Wsb7aY132Wk/MzMErSySsx2F8jyA82ro2wzoZHtMAUYWG8/8WhPMzWplHINDtVaDZEwznREREROXAzcm+MKx/W9CznnQ6F/9Yulf1rKuw3qY2HBjWyaCYCojutUvngOiCcH7prFbmGQR0lXD+OMM5ERER0T0K62O6B2JoeD18tzUJczckIDkrF6/+uBcz18VhXPcgPB5ah2GdDIfpgOheuXgWiJ4DbP1MC+rCq2FBOH8MsLXTu4ZERERElZ6rkz3+1i0QQ4qF9ZSsi3jtp31az3rPIDzepg4c7RnWyRgY0onuRTjfOls7LpvDeSNtWHvTRxnOicgy2dkBDzxQ9JiIyMK4ONpjdNdADOlQHwuikzAnMgEnzl7E6z/tw6dr4zG2RyCeDPVnWCfdMaQTlReZZx71mdZ7fjlbK6sZooXzJgMYzonIsjk7A7/9pnctiIj+siqOdni+SwAGh9XDwphkzIk8qsL6//68H7NUWA/Ck23rwMmef7uRPhjSif6q3CxtSLvMOzeHc+8mWjhv/Ahgy7uxREREREYM6yM7N8DgsLpYGK2F9dRzl/DPZfsxa108xnYPxFPt/BnWqcIxpBP9lXAue5xHzwWunNfKvJsC3ScDIf0ZzomIiIgsgLODHUZ0boBnwupiUUwyZkcexclzl/DG8gOYte6oWnxuYDt/dR1RRWBIJ7pTOaeBqJlAzDzgygWtzKe51nMe8hDDORFVTjk5gLe39jgjA3B11btGRETlSkL4c50a4On2dfHD9hR8tu4o0rIv4a1fDuCz9fEY0y1QPcewTvcaQzpRWeVkAlsKwvnVHK3MV8L5a0CjBxjOiajyy83VuwZERPechPCh4fVV7/kP21Lw2XqtZ/3tFbHq8QvdAlWvO8M63SsM6US3c+EUsOUTYNsXxcJ5C6D760Cj+wEbG71rSERERETlTOaiDwmvr+alL9l+HJ+ti1dz1v/1a6waEv+3rtriczK3nag8MaQT3cyFDGDzx8D2+cDVgt6jWq2A7q8BDe9jOCciIiKykrD+bId6eKqtP5buOK4WlZPV4N/77aDaxu2FbgzrVL4Y0omudz69qOf82kWtzK+NFs6D+zKcExEREVkh2T9dhrk/EVoHP+7UwvrxM+awfhSjuwaoMC/7sRP9FWxBRGbn04p6zq9d0spqh2rD2oN6M5wTERERkQrrg9prYf2nncfx6bp4pGRdxL9/P4T/RiZgVNcADOlQD65OjFp0d9hyyDrk5wFJW4AL6YCbD1CvI2BbMCQp+ySweQaw46uicF6nnbYgXFAvhnMiIiIiuoGDnS0GtquLx9rUwc+7TuDTtfFIzsrFlD8OYe6GBIzqEoCh4SXDel6+CTGJWcg4fwneVZ3RvoEH7Gz5tyYZMKTPmjUL06ZNQ1paGlq2bImZM2eiffv2t33dokWLMGjQIDzyyCNYtmxZhdSVLFDsL8DKyUB2alGZux/QbTKQHquF87zLWrl/mFYe2JPhnIioONnBolu3osdERFQY1mW++qOta2OZhPV18Ug6nYupKyWsH8XzXQIwrGN9bIo7hXdWxKqV4s1qVXPGW/2b4L5mtXT9HshYdA/pixcvxqRJkzBnzhyEhYVhxowZ6NevHw4fPgxv836spTh27BheeeUVdOnSpULrSxYY0H8YCsBUslwC+4qJRef+HbQ55wHdGc6JiEpTpQqwfr3etSAiMnRYf7IgrC/fnarCemJmDqb9eVjNX8+9knfDa9LOXcKY73Zi9rNtGNSpkO63wqdPn45Ro0Zh+PDhaNKkiQrrLi4umD9//k1fk5eXh8GDB+Odd95BQEBAhdaXLGyIu/SgXx/Qi7NzBJ79CRixEgjswYBORERERH+JvZ0tHg+tg9Uvd8VHA1uigadLqQEdxf5KlR52GQpPpHtP+pUrV7Bjxw68/vrrhWW2trbo3bs3oqKibvq6f/3rX6qXfeTIkdi4ceMtv8bly5fVYZadna0+Xr16VR1GZq6f0etpVDZJm2BffIh7afKu4BpsYbp2raKqVamwjZLRsY2S0bGNktGxjf41DzXzgUcVewz7asdNr5FoLkPgo+IzENbAo0LrVxlctZA2eif10zWkZ2Zmql5xHx+fEuVyfujQoVJfs2nTJnzxxRfYvXt3mb7G+++/r3rcr7dq1SrVY28JVq9erXcVLFKDU6vQogzX7d74J04c0G7e0N1hGyWjYxv96+wuXUKf0aPV49Vz5yLP2VnvKlUqbKNkdGyjd29HpozUvP0e6qs2RuP0QfamV9Y2mpubazlz0u/E+fPnMWTIEMybNw9eXl5leo300suc9+I96f7+/ujbty/c3d1h9Lst0tj69OkDBwcHvatjOc4mw27zR7A5sbBMl7fq0g8t63W+59WqjNhGyejYRstRTg4cCkajydoxcHXVu0aVAtsoGR3b6F/nmZiFb+K23/a6bJc66NQjBNWq8H2ujG3UPKLb8CFdgradnR3S09NLlMu5r6/vDdcfPXpULRjXv3//wrL8/Hz10d7eXi02FxgYWOI1Tk5O6rie/ACN/EO01LrqKisR2PgfYM/3QP61ojnneVdu8gIbtcq7fUDXou3Y6K6wjZLRsY2Wg2Lvn3ov+X6WK7ZRMjq20bsXHuStVnGXReJu1U++bM9JRBw6hec61cfIzg1Q3cWxAmtp+RwM3kbvpG66Lhzn6OiI0NBQRERElAjdch4eHn7D9SEhIdi3b58a6m4+Hn74YfTo0UM9lh5yskJZCcCyccDMUGDXt1pAD+gBjPgTePwLLYyro7iC8/umMKATERER0T0j+6DLNmu4yV+kcozq0gAhvlVx/vI1zFwbj85T1+HDPw/jTM7NOpuoMtN9uLsMRR82bBjatm2r9kaXLdhycnLUau9i6NChqF27tppb7uzsjGbNmpV4ffXq1dXH68vJCpw+WtBzvggwFayYGdhL20rNv33RdU99U/o+6RLQmzxc8fUmIiIiIqsi26vJNmvX75PuW2yf9Px8E1bFpmHGmjgcSjuvtnD7cnOi2mNd9lr3cGXPurXQPaQPHDgQp06dwptvvom0tDS0atUKK1euLFxMLjk5Wa34TlQinG+YBuz9oSicB/UGukk4b3fj9RLEQx4EkrYAF9IBNx+gXkf2oBMRERFRhZEg3qeJL2ISs5Bx/hK8qzqjfQMP1dMubG1t1DV9m/hiVWw6PomIQ+zJbHy2/ii+2nIMQ8Prqx53T7cbp/JS5aJ7SBfjx49XR2nWr19/y9d+9dVX96hWZDiZcVo437cEMGlrESC4rxbO64Te+rUSyBt0qZBqEhERERGVRgJ5eKDnLa/Rwrov+jX1werYdHwcEYcDqdmYE3kU30Qdw5DwehjdJYBhvRIzREgnuqVTR7Rwvn9pUThveB/Q7VWg9m3CORERlQ8Z1da2bdFjIiK6p2xsbNC3qS/6NPFBxMEMzIg4gv0nsvHfyAR8syVJC+tdA+DFsF7pMKSTcZ06DER+AOz/ETCvhdnw/oJw3kbv2hERWZcqVYBt2/SuBRGRVYb13k180KuxN9YeylA963uPn8PcDQmqZ/3ZsHoY3S1ADZ+nyoEhnYwn46AWzg/8XBTOGz2ohXO/VnrXjoiIiIhIl7Deq7EPeoZ4Y/3hU5gREYc9KWfx+aZEfBedhMFh9fA3hvVKgSGdjCM9Ftgg4XxZUTgPeQjoNhmo1ULv2hERERERGSKs9wjxRvdGNRF55JRaDX53yll8IWF9axKeCauLMd0C4e3OsG6pGNJJf+kHgMipQOzyorLG/bVw7ttcz5oREZFZbi7QRNvnF7GxgIuL3jUiIoK1h/XujbzRrWFNbIjLxMdrjmBn8ll8ufkYFkQn45n2dfFCt0C1zRtZFoZ00k/aPi2cH1xRVNbkEaDrq4Av970nIjIUkwlISip6TEREhgnrEtS7BnthU7yE9ThsTzqjtm1bGJOMQe388UL3QNSqVkXvqlIZMaRTxTu5Vwvnh34tKLABmg7QwrlPQS8NERERERHdUVjvElwTnYO8sOXoacxYcwTbjp3B11FJ+D4mBQPb+WNM90D4VWdYNzqGdKo4J/cA66cCh38rFs4f1RaE826sc+WIiIiIiCpHWO8U5IWOgZ6IkrAeEYeYxCx8uzUJi7el4Kl2dTCmexBqM6wbFkM63Xupu7RwfuSPggIboNnjQNd/AN4hOleOiIiIiKhyhvWOEtaDvLSwvuYIohOz8N3WZBXWn2zrj7HdA1GnBtcYMRqGdLp3TuzUhrUfWamd29gCzZ7QwnnNhnrXjoiIiIjIKoQHeiI8MBxbE06rOetRCaexMDoZS7an4InQOhjbPQj+HgzrRsGQTuXv+A4gcgoQt6oonDd/UgvnXsF6146IiIiIyCp1CPBEh9Geavj7xxFHsDn+tJqvvmT7cRXWx/VgWDcChnQqP8e3A+unAPGri8J5i4FAl1cAryC9a0dERH+FjU3RFmzymIiILFb7Bh5Y8HwHbD8mYT0OG+MysWhbCpbuOI7H2tTG+B7BqOvJsK4XhnT661JitHB+NEI7t7EDWj4NdPk74Bmod+2IiKg8yL7oBw7oXQsiIipHbet74NuRYdiRlIUZa7Sw/sP24/hx5wk82lrCehDqe7nqXU2rw5BOdy95qxbOE9YVC+eDgK5/BzwC9K4dERERERGVQWg9c1g/g08i4hB55JTqVf951wkMaFUb43sGoQHDeoVhSKc7lxSlzTlPWK+d29pr4Vx6zj0a6F07IiIiIiK6C6H1auDrEe2xK1kL6+sOn8KPOyWsHy8M6wE13fSuZqXHkE5ld2yzFs4TNxSF81aDgS6TgBr19a4dERHdS7m5QLt22uNt27Th70REVCm1rlsDXw5vj90pZ1VYX3soAz/tOoFlu0/g4ZZ+GN8zGEHeDOv3CkM63V7iRm0rtWMbtXNbB6D1YKCzhPN6eteOiIgqgskExMYWPSYiokqvlX91zH+uHfYe18L6moMZWLY7Fcv3pKqw/mLPIAR5V9W7mpUOQzqVTv4Ak1C+fiqQtKkonLcZooXz6v5615CIiIiIiCpAizrV8fmwdth/4pxaDX51bDqW707FL3tS8VALP0zoGYRgH4b18sKQTjeG88RILZwnb9HK7ByBNkOBzi8D1eroXUMiIiIiItJBs9rVMG9oWxXWpWd9VWw6VuxJxa97U/FA81qY0DMYjXwZ1v8qhnQqCueyEJys1p6ytVg4H1YQzmvrXUMiIiIiIjJIWJ87tC0OpJ7DzIh4rDyQht/2nlTHg81r4cVeQQjxdde7mhaLId3aSTg/ulabc54SrZXZOQGhzwGdXwLc/fSuIRERERERGVBTv2qYMyQUB09mY+baOPy+Lw2/7Tupjvub+WJCr2A0rsWwfqcY0q05nMdHaKu1H9+mldk7a+G8k4TzWnrXkIiIiIiILIAE8c8Gh+JQWrbqWf99/0n8sT9NHf2a+qiwLoGeyoYh3SrD+RptWPuJ7UXhvO0IoNNEoKqv3jUkIiIjsrEB6tUrekxERHQdGeI+a3AbHEk/r+asS4/6nwfS1dG3iRbWZag83RpDujWF87hVWjhP3amV2VcB2o0EOk4AqvroXUMiIjIy2Rf92DG9a0FERBagoU9VfPpMG0xMP4+Za+OxYm+qWmROjt6NffBSb4b1W2FIt4ZwfmSlNuc8dVfJcC49527eeteQiIiIiIgqIdmW7ZNBrTGhV5AW1vekYs3BdHX0CvHGxN7Bans3KokhvTKH88N/aHPOT+7RyhxcgHbPaz3nbjX1riEREREREVmBIO+q+PhpCevB+HRtPJbvPoGIQxnq6ClhvVcwWvozrJsxpFfGcH7oN63nPG2vVubgCrQfBXR8EXD10ruGRERkiS5eBLp21R5v2ABUqaJ3jYiIyMIE1nTDRwNb4cWeQfh0XTyW7TqBtYcy1NG9UU0V1lvXrQFrx5BeWeTnA4d+BSI/ANL3aWWOblo4D5dw7ql3DYmIyNJ/z2zfXvSYiIjoLgXUdMP0pySsaz3ry3afwPrDp9TRtaEW1kPrWW9YZ0ivFOF8RUE436+VOVYFwkYD4eMBFw+9a0hERERERHSDBl6u+M9TLVXP+qx18fhp1wlsOHJKHV2CvdQCc6H1rC/PMKRbcjg/uFwL5xmxReG8wwtAh7EM50REREREZBHqe7li2pMS1oNVWP9x53FsjMtUR+cgL7XAXLv61pNvGNKNKj8PNkmbUDsrCjZJ7kBAV8DWTpUjdhkQOQ04dVC71skdCJNwPobhnIiIiIiILFJdTxdMfaIFxhf0rC/dcRyb4jPV0THQUw2DDwsomsabl29CdGIWdmTawDMxC+FB3rCztYGlY0g3othfgJWTYZ+dirZynjQbcPcDmgwA4iOAzMPadU7VtGAuvedVrHfOBhERERERVR7+Hi6Y8ngLjOsRhM/WH8XSHSnYcvS0OsIDPFXP+tncK3hnRSxOnrsEwA7fxG1HrWrOeKt/E9zXrBYsGUO6EQP6D0NlmfaS5dmpwNbPtMfOEs7HAWF/A6pwqwIiIiIiIqqcYf39x5pjXI9AzF5/FD9sT0FUwmlEzT1d6vVp5y5hzHc7MfvZNhYd1G31rgAVI0PZV06+MaAXJ0PbJ+wGuk9mQCcioorl5aUdREREFahODRf836PNsf4fPfBMmP9NrzOnKOlhl6Hwlooh3UiStmg95rdyORtIP1BRNSIiItK4ugKnTmmHPCYiIqpgtatXQf8WtW95jURzGQIfk5gFS8WQbiQX0sv3OiIiIiIiokok4/ylcr3OiBjSjcTNp3yvIyIiIiIiqkS8qzqX63VGxJBuJPU6aqu442bbBtgA7rW164iIiCrSxYtA9+7aIY+JiIh00L6Bh1rF/RaJST0v11kqhnQjkX3Q75tacHJ9sys4v2+Kdh0REVFFys8HIiO1Qx4TERHpwM7WRm2zdovEpJ635P3SGdKNpsnDwFPfAO7XbRkgPexSLs8TERERERFZqfua1VLbrPlWKzmkXc4tffs1wX3SjUiCeMiDuJawAbs3/olWXfrBPqAre9CJiIiIiIigBfU+TXwRFZ+BVRuj0bdLGMKDvC26B92MPelGZWsHU73OOOERrj4yoBMRERERERWRQB7WwAOhXib1sTIEdMGQTkRERERERGQQDOlEREREREREBsE56URERFQ2Li5614CIiKjSM0RP+qxZs1C/fn04OzsjLCwMMTExN7123rx56NKlC2rUqKGO3r173/J6IiIiKgeurkBOjnbIYyIiIqqcIX3x4sWYNGkS3nrrLezcuRMtW7ZEv379kJGRUer169evx6BBg7Bu3TpERUXB398fffv2xYkTJyq87kRERERERESVKqRPnz4do0aNwvDhw9GkSRPMmTMHLi4umD9/fqnXL1iwAGPHjkWrVq0QEhKCzz//HPn5+YiIiKjwuhMRERERERFVmjnpV65cwY4dO/D6668Xltna2qoh7NJLXha5ubm4evUqPDw8Sn3+8uXL6jDLzs5WH+U1chiZuX5GrydZL7ZRMjq20XJ06RLsBg5UD/MWLwacnfWuUaXANkpGxzZKRnfVQtrondRP15CemZmJvLw8+Pj4lCiX80OHDpXpc0yePBl+fn4q2Jfm/fffxzvvvHND+apVq1SPvSVYvXq13lUguiW2UTI6ttG/zu7SJTz0xx/q8e+//448hvRyxTZKRsc2Ska32uBtVDqXrWJ19ylTpmDRokVqnrosOlca6aWXOe/Fe9LN89jd3d1h9Lst0tj69OkDBwcHvatDdAO2UTI6ttFyJAvGFZC1Y7h4XPlgGyWjYxslo7tqIW3UPKLb8CHdy8sLdnZ2SE9PL1Eu576+vrd87YcffqhC+po1a9CiRYubXufk5KSO68kP0Mg/REutK1kntlEyOrbRclDs/VPvJd/PcsU2SkbHNkpG52DwNnonddN14ThHR0eEhoaWWPTNvAhceHj4TV/3wQcf4N1338XKlSvRtm3bCqotERERERER0b2l+3B3GYo+bNgwFbbbt2+PGTNmICcnR632LoYOHYratWurueVi6tSpePPNN7Fw4UK1t3paWpoqd3NzUwcRERERERGRpdI9pA8cOBCnTp1SwVsCt2ytJj3k5sXkkpOT1YrvZrNnz1arwj/xxBMlPo/ss/72229XeP2JiIiIiIiIKk1IF+PHj1dHaWRRuOKOHTv2l76WyWS644n7ei6CIKsASl2NPL+CrBfbKBkd2+i9WTgO8js0L0/P2lQabKNkdGyjZHRXLaSNmvOnOY8aPqRXpPPnz6uPssI7ERER3QU/P71rQEREZLF5tFq1are8xsZUlihficjCdKmpqahatSpsbGxgZObt4lJSUgy/XRxZJ7ZRMjq2UTI6tlEyOrZRMrpsC2mjErsloPv5+ZWYzl0aq+tJlzekTp06sCTS2Izc4IjYRsno2EbJ6NhGyejYRsno3C2gjd6uB90QW7ARERERERERURGGdCIiIiIiIiKDYEg3MCcnJ7W1nHwkMiK2UTI6tlEyOrZRMjq2UTI6p0rYRq1u4TgiIiIiIiIio2JPOhEREREREZFBMKQTERERERERGQRDOhEREREREZFBMKQTERERERERGQRDukHNmjUL9evXh7OzM8LCwhATE6N3lchKvf/++2jXrh2qVq0Kb29vDBgwAIcPHy5xzaVLlzBu3Dh4enrCzc0Njz/+ONLT03WrM1m3KVOmwMbGBi+99FJhGdso6e3EiRN49tlnVRusUqUKmjdvju3btxc+L+v4vvnmm6hVq5Z6vnfv3oiLi9O1zmQ98vLy8MYbb6BBgwaq/QUGBuLdd99V7dKMbZQq2oYNG9C/f3/4+fmp3+vLli0r8XxZ2mRWVhYGDx4Md3d3VK9eHSNHjsSFCxdgdAzpBrR48WJMmjRJbSWwc+dOtGzZEv369UNGRobeVSMrFBkZqcLN1q1bsXr1aly9ehV9+/ZFTk5O4TUvv/wyVqxYgSVLlqjrU1NT8dhjj+lab7JO27Ztw3//+1+0aNGiRDnbKOnpzJkz6NSpExwcHPDHH38gNjYW//nPf1CjRo3Caz744AN88sknmDNnDqKjo+Hq6qp+98sNJqJ7berUqZg9ezY+/fRTHDx4UJ1Lm5w5c2bhNWyjVNFycnJUDpLOy9KUpU1KQD9w4ID6G/bXX39VwX/06NEwPNmCjYylffv2pnHjxhWe5+Xlmfz8/Ezvv/++rvUiEhkZGXJb3RQZGanOz549a3JwcDAtWbKk8JqDBw+qa6KionSsKVmb8+fPm4KDg02rV682devWzTRx4kRVzjZKeps8ebKpc+fON30+Pz/f5Ovra5o2bVphmbRbJycn0/fff19BtSRr9uCDD5pGjBhRouyxxx4zDR48WD1mGyW9ATD9/PPPhedlaZOxsbHqddu2bSu85o8//jDZ2NiYTpw4YTIy9qQbzJUrV7Bjxw41XMPM1tZWnUdFRelaNyJx7tw59dHDw0N9lPYqvevF22xISAjq1q3LNksVSkZ8PPjggyXaomAbJb398ssvaNu2LZ588kk1bah169aYN29e4fOJiYlIS0sr0UarVaumpruxjVJF6NixIyIiInDkyBF1vmfPHmzatAn333+/OmcbJaNJLEOblI8yxF3+/TWT6yVbSc+7kdnrXQEqKTMzU80L8vHxKVEu54cOHdKtXkQiPz9fzfOVYZvNmjVTZfIPpKOjo/pH8Po2K88RVYRFixap6UEy3P16bKOkt4SEBDWUWKay/c///I9qpxMmTFDtctiwYYXtsLTf/WyjVBFee+01ZGdnqxuYdnZ26m/R//u//1NDhQXbKBlNWhnapHyUG6PF2dvbq44mo7dbhnQiuqOeyv3796u760RGkZKSgokTJ6r5ZrLYJpERb3BKT86///1vdS496fJvqcyjlJBOpLcffvgBCxYswMKFC9G0aVPs3r1b3ZSXBbvYRokqHoe7G4yXl5e6g3n9qsNy7uvrq1u9iMaPH68W3Fi3bh3q1KlTWC7tUqZpnD17tsT1bLNUUWQ4uyys2aZNG3WHXA5ZHE4Wk5HHcledbZT0JCsPN2nSpERZ48aNkZycrB6b2yF/95Ne/vGPf6je9KefflrtPDBkyBC14Kbs8CLYRslofMvQJuXj9QtvX7t2Ta34bvR2y5BuMDL0LTQ0VM0LKn4HXs7Dw8N1rRtZJ1mrQwL6zz//jLVr16rtWYqT9iorFhdvs7JFm/zxyTZLFaFXr17Yt2+f6vkxH9JrKcM0zY/ZRklPMkXo+q0rZe5vvXr11GP5d1X+YCzeRmXoscyZZBulipCbm6vm6RYnnUbyN6hgGyWjaVCGNikf5Qa93Mw3k79lpV3L3HUj43B3A5I5azK0SP6wbN++PWbMmKG2IBg+fLjeVSMrHeIuw9+WL1+u9ko3z+GRxTlkT0r5KHtOSruVOT6yD+WLL76o/mHs0KGD3tUnKyDt0rxGgplswyL7UZvL2UZJT9IjKQtzyXD3p556CjExMZg7d646hOz/K0OL33vvPQQHB6s/PmXPahlqPGDAAL2rT1ZA9qKWOeiyoKYMd9+1axemT5+OESNGqOfZRkkPFy5cQHx8fInF4uTmu/wul7Z6uzYpI5buu+8+jBo1Sk0vkkVkpeNJRozIdYam9/LyVLqZM2ea6tata3J0dFRbsm3dulXvKpGVkn8mSju+/PLLwmsuXrxoGjt2rKlGjRomFxcX06OPPmo6efKkrvUm61Z8CzbBNkp6W7FihalZs2Zqe6CQkBDT3LlzSzwv2wm98cYbJh8fH3VNr169TIcPH9atvmRdsrOz1b+Z8rens7OzKSAgwPS///u/psuXLxdewzZKFW3dunWl/g06bNiwMrfJ06dPmwYNGmRyc3Mzubu7m4YPH662bDU6G/mP3jcKiIiIiIiIiIhz0omIiIiIiIgMgyGdiIiIiIiIyCAY0omIiIiIiIgMgiGdiIiIiIiIyCAY0omIiIiIiIgMgiGdiIiIiIiIyCAY0omIiIiIiIgMgiGdiIiIiIiIyCAY0omIiIiIiIgMgiGdiIioQFpaGl588UUEBATAyckJ/v7+6N+/PyIiImBkNjY2WLZsWZmuMx/29vaoW7cuJk2ahMuXL8MIvv/+e9jZ2WHcuHEV+nWfe+45DBgw4LbXLViwQLWJGjVqqPetuGPHjqFhw4bIzs6+hzUlIiJrwJBORERUELJCQ0Oxdu1aTJs2Dfv27cPKlSvRo0ePvxQaTSYTrl27dkP5lStXoIcvv/wSJ0+eRGJiIj777DN8++23eO+992AEX3zxBV599VUV1i9dugQjyczMxPPPP48PP/wQq1atwnfffYdff/218PmxY8diypQpcHd317WeRERk+RjSiYiICkKW9DDHxMTg8ccfV72iTZs2VT2mW7duLQzycs3u3bsLX3f27FlVtn79enUuH+X8jz/+UKFfeuQ3bdqE7t27Y/z48XjppZfg5eWFfv36qev379+P+++/H25ubvDx8cGQIUNUIDST102YMEGFVw8PD/j6+uLtt98ufL5+/frq46OPPqq+rvn8ZqpXr64+h/QIP/TQQ3jkkUewc+fOwuePHj2qyqQuUqd27dphzZo1JT6HhPvg4GA4Ozur65544onC5/Lz8/H++++jQYMGqFKlClq2bImlS5fe9v2XmwZbtmzBa6+9pt77n376qcTzSUlJalSD9GK7urqqn83vv/+unjtz5gwGDx6MmjVrqq8pdZObEWYpKSl46qmn1Pcu76F8f/KzFPJefv3111i+fHnhKAPzz7K4hIQEVKtWDQMHDlTvidy8OXjwoHpObio4ODjgscceu+33SUREdDsM6UREZPWysrJUr7n0mEsAvJ6EuzslYVN6ViXItWjRQpVJGHR0dMTmzZsxZ84cFfB79uyJ1q1bY/v27aoO6enpKlAWJ6+TekVHR+ODDz7Av/71L6xevVo9t23bthI95Obzsjhy5IgaORAWFlZYduHCBTzwwANqiP+uXbtw3333qXCcnJysnpd6yk0DqcPhw4dVnbt27Vr4egno33zzjfr+Dhw4gJdffhnPPvssIiMjb1kXqf+DDz6ogrBcL73qxcnPRoblb9iwQY1ymDp1qrqJIN544w3ExsaqGyPyfs+ePVvdCBFXr15VN0SqVq2KjRs3qvdeXiffl4xmeOWVV9T7Lefy/snRsWPHG+onwT83N1e9J9Je5H2Wn6vcIJCv/+mnn5b5fSciIrolExERkZWLjo42ya/En3766ZbXJSYmqut27dpVWHbmzBlVtm7dOnUuH+V82bJlJV7brVs3U+vWrUuUvfvuu6a+ffuWKEtJSVGvP3z4cOHrOnfuXOKadu3amSZPnlx4Ltf//PPPt/0+5TpnZ2eTq6urycnJSZ0/9NBDpitXrtzydU2bNjXNnDlTPf7xxx9N7u7upuzs7Buuu3TpksnFxcW0ZcuWEuUjR440DRo06KafPy8vz+Tv71/4np06dcrk6OhoSkhIKLymefPmprfffrvU1/fv3980fPjwUp/79ttvTY0aNTLl5+cXll2+fNlUpUoV059//qnOhw0bZnrkkUdMtyPto1mzZqbAwEDTW2+9pcpGjBhh+uijj0yRkZGmVq1aqfdqyZIlt/1cREREN2N/6whPRERU+Wn5tXy1bdv2hjIZ/l7cnj17sG7dusIe4eJk2LkM+xbmnnizWrVqISMj467q9dFHH6F3797Iy8tDfHy8Gs4vQ+wXLVpU2JMuQ8B/++031ass8+kvXrxY2JPep08f1KtXTy2uJ73PcshQexcXF/X5pLdZrilOeqxltMDNyKiAnJwc1YMvpBdcPsf8+fPx7rvvqjLpvR8zZoyaDy71lykJ5vdFyuVchu337dtXLQJn7g2X91jqJT3pxcmcd3mP74R8n3KYyeiAvXv3YubMmQgKClLD3mUqQfv27dXoAm9v7zv6/ERERIIhnYiIrJ4MZZa5yIcOHbrldba2tjeEehlOXZrShs1fXyaBWIaSy9Dt60kQN5P5zsVJXWXu992QECmBUjRq1Ajnz5/HoEGD1OJxUi7DvyU0ywJpci5zvGXOuXmhOwm7EoZl3rYE5jfffFOFehn+Ld+PkIBfu3btEl9X5ubfjAxtlyHk8rXM5PuTAPzOO++o910WbZNh6/K55evKsPr//Oc/ajV+mdMvc9ZljrrUvVevXmp4vHwPUie5OSIrs19P5rDfLRl6L+sYyMJ7chNAbmZ069ZNPSc3V2RqgvxsiYiI7hTnpBMRkdWTxcQkAM6aNUv16F5P5o4XD3XSw2xWfBG5O9WmTRs1b1sWe5NAXPwoLeTfjIR46Rm/G7LlmZDeciFztmVLMukxbt68uQr15kXWzGT7NunNlvnxEqTleZnb3qRJExXGpdf9+u9HFqorzenTp9WibdKTL++l+ZC53zLfWwK5mXyOF154QS0q9/e//x3z5s0rfE5+NsOGDVOrrs+YMQNz584tfI/j4uJUr/b1dZL570LWCbjT909uasgoAvn88triK/jLjZu7/XkQERGxJ52IiAhQAb1Tp05qqLIsiiZDqSV4Sc+sLEQmC5JJT2+HDh3UgnCyerkMOf/nP/95119TenslaEpPtnn1dumVlcD6+eefFwbo25GQLwu9Sf0lJMsK6DcjNxxkP3jpqZbwKt+r9Pw2bty4cFSBhGDpBZYee1kUrXivvWw7Jiudy3Bu+TrSey3PS6+89LJLT7wsFidlnTt3xrlz51Twl63JJERfT3qiPT091eJt8vWKk+Hv0ssuYVhWxZcec6mrhHeZJmCus/TmS2+5rPguPdxSR/Nzsuq7bKknK7rL91qnTh3V6y7fo7znci7v359//qkWwpO6SHi/fvRCcbJI3eLFi9WNBBESEqJ6+6WuclNDRmTICvBERER3gz3pREREgJpjLcO4ZWst6aVt1qyZmhct4VdCupnMk5bwLqFQguNf2WPcz89PBVjpdZW51NJzLZ9TVpM3D60vCxn2LTcTpKf5VnO/xfDhw9VQegmncnNAgq2sii6942L69OkqfMucbgnqMsJAeovNpG4ScGVVegnCsoq7zMWWzyNkDrkEexmOLs9LwJYh6nJTozTyfpq3j7uezDP/5Zdf1JZ08h7JTQ3z55SwLlvBmXvCX3/9dXVjRW4eyM0N8xx7mSsvK8LXrVtXbZEmrx85cqSak27e03zUqFHqJoOsIyA98vIzuRmZ6jB69Gj1PplHO8jNm6+++krdBJDPLSu9Xz/cn4iIqKxsZPW4Ml9NRERERERERPcMe9KJiIiIiIiIDIIhnYiIiIiIiMggGNKJiIiIiIiIDIIhnYiIiIiIiMggGNKJiIiIiIiIDIIhnYiIiIiIiMggGNKJiIiIiIiIDIIhnYiIiIiIiMggGNKJiIiIiIiIDIIhnYiIiIiIiMggGNKJiIiIiIiIYAz/DxePHujVdrIvAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"## TEST 3: Inventory Skew Calculation\n",
"print(\"\\n\" + \"=\"*50)\n",
"print(\"TEST 3: Inventory Skew Calculation\")\n",
"print(\"=\"*50)\n",
"\n",
"def get_inventory_skew_multiplier(current_base_pct, target_base_pct, inventory_range_multiplier, side):\n",
" \"\"\"Calculate inventory skew multiplier based on current inventory ratio\"\"\"\n",
" # Convert decimal.Decimal to float if needed to avoid type conflicts\n",
" if hasattr(current_base_pct, '__float__'):\n",
" current_base_pct = float(current_base_pct)\n",
" if hasattr(target_base_pct, '__float__'):\n",
" target_base_pct = float(target_base_pct)\n",
" if hasattr(inventory_range_multiplier, '__float__'):\n",
" inventory_range_multiplier = float(inventory_range_multiplier)\n",
"\n",
" # Calculate distance from target percentage\n",
" inventory_distance = current_base_pct - target_base_pct\n",
"\n",
" # Adjust skew based on side\n",
" if side == \"BUY\":\n",
" # If we have too much base asset, reduce buy size\n",
" if inventory_distance > 0:\n",
" return max(0.1, 1.0 - (inventory_distance * inventory_range_multiplier))\n",
" # If we have too little base asset, increase buy size\n",
" else:\n",
" return min(2.0, 1.0 + (abs(inventory_distance) * inventory_range_multiplier))\n",
" else: # SELL\n",
" # If we have too much base asset, increase sell size\n",
" if inventory_distance > 0:\n",
" return min(2.0, 1.0 + (inventory_distance * inventory_range_multiplier))\n",
" # If we have too little base asset, reduce sell size\n",
" else:\n",
" return max(0.1, 1.0 - (abs(inventory_distance) * inventory_range_multiplier))\n",
"\n",
"# Test with various inventory levels\n",
"current_base_pct_values = np.linspace(0, 1, 11) # From 0% to 100% in 10% increments\n",
"target_base_pct = float(config.target_base_pct) # Convert Decimal to float\n",
"inventory_range_multiplier = float(config.inventory_range_multiplier) # Convert Decimal to float\n",
"\n",
"buy_skew_multipliers = []\n",
"sell_skew_multipliers = []\n",
"\n",
"for current_base_pct in current_base_pct_values:\n",
" buy_multiplier = get_inventory_skew_multiplier(\n",
" current_base_pct,\n",
" target_base_pct,\n",
" inventory_range_multiplier,\n",
" \"BUY\"\n",
" )\n",
" sell_multiplier = get_inventory_skew_multiplier(\n",
" current_base_pct,\n",
" target_base_pct,\n",
" inventory_range_multiplier,\n",
" \"SELL\"\n",
" )\n",
"\n",
" buy_skew_multipliers.append(buy_multiplier)\n",
" sell_skew_multipliers.append(sell_multiplier)\n",
"\n",
" print(f\"Current Base %: {current_base_pct*100:.1f}% | Buy Multiplier: {buy_multiplier:.4f} | Sell Multiplier: {sell_multiplier:.4f}\")\n",
"\n",
"# Plot inventory skew multipliers\n",
"plt.figure(figsize=(12, 6))\n",
"plt.plot(current_base_pct_values*100, buy_skew_multipliers, 'o-', label='Buy Multiplier')\n",
"plt.plot(current_base_pct_values*100, sell_skew_multipliers, 'o-', label='Sell Multiplier')\n",
"plt.axvline(x=target_base_pct*100, color='r', linestyle='--', label=f'Target Base % ({target_base_pct*100}%)')\n",
"plt.xlabel('Current Base Asset %')\n",
"plt.ylabel('Order Size Multiplier')\n",
"plt.title('Inventory Skew Multipliers')\n",
"plt.grid(True)\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "e22b601f",
"metadata": {
"id": "e22b601f"
},
"source": [
"### 4. Profitability Calculation"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3c7f79e1",
"metadata": {
"id": "3c7f79e1",
"outputId": "caaf6115-4f45-4065-e624-1780d40a8000"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==================================================\n",
"TEST 4: Profitability Calculation\n",
"==================================================\n",
"Total time periods analyzed: 44\n",
"Profitable 'Buy on HTX, Sell on Binance' opportunities: 0 (0.00%)\n",
"Profitable 'Sell on HTX, Buy on Binance' opportunities: 0 (0.00%)\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1500x1000 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1500x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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elEkrDpr+YO8/WNslK/WA1CqVv/z3sJlA9GpcvJQskEsm9KgrDcs6v5pPJ4sbe38NefXnXWb99PWm1aZIWcTlWBMYajuejcfOJ16fN6e3mRxUv2BptZI7fIi1mo7nWQOaSO9p62XL8XB57H9r5dv+TZw6KZgrOHT2orxzfYJOW8uWp1pVkAGtyolfDvf8yFQify758OE6Zh6HNxbvNjsI9D36u/VB8lz7yqZq3Vk7B93VifNR8tmfB835/7unuksduaKfubQ/vh5lYttJNntAU8IjALft560nTSsL9fHDdaVMYdee7P6lztXkwJmL8tf+s2ai0YVDW2b6nCVwP2cuRJs2frPWHpNzlxLa+Om8Qlp0o+F5Rf+8abof/X7RqVYJ0wJ0zoYgmfD7AVOcpUVa//vnsJlby1Xb4GroP/XvQzJv00kz74uqXCyP+Ux8f92AxIISLczRecM0TJ+7KUh2BUfKiO+3mc/SfZqXlccal5YCftn7uwWyHtf51A+3p3tin+tQxVR2vjR/h9lzGxx+Wab2amCq1QFXd/bCFRk1d5v8vf+suaxtPd7pVtulJvLs1ays6Y2uH1ZGfL9VSuT3lXqlC0p2rhLRD6T6Ye/ouUum4lwfH/155sJ/hxtqRtiyUlHpXr+kacXBzj2R2qUKyHcDmpqQTT/0PvLFGnNUUXacAElf+xP+2G+C5Wtx8SZUNhNCta1k2illBbVK5ZfvBzY1PWLf/m2Ped2Mnr/DBCLaL71lJdf8IueKxi/eI9GxcdKkXCG5r7br7cjUylCdXLTPtPVmB6K+xr8b2NQc0QTg1to52Fo4ZFf7Qi7I6Hk7zPmhd1fMtLmBboe+l098tJ50nbxKDp+9JE99u9FsC5lUHSnZcSJCpq86Ir9sD5bYawkveP2epWFwj0aBtxwGa+Dcq2kZ6VavpOklruH09hMR8tj/1pm5dV7sWFWqlcjnMkdiT/nrkJmo3DZXVMMyBWXQnRWkdVX/FCvvdXL7N7rUNEdszl5/3HyuPB15xRR8TfrjoDzUsJTpm162iGvvdAPSihAdltOqNq3e1QkQtU96t89Xmy9zzu4XCqRGg/ORP2w1PR5zenvKa/fVkEcbB7pklbIGXsfPRZnD5rSy5qchLbJ0KxKd2FEn8jkSGmXC8SPXw3I9BUdEp/q7lfzzmBYc2q6lWDYMh29GP7TPGdhMen651lRrPTJ1rQnSs0vP7Msx1+TLfw6bLwyXrvfHb1vN31QHpbXSyJ3o9qxjzeLmi9C3a4/JhN/3y96QC/L4V+tMP0ut2mNyqNT9c+Cs+XKp4czYB2q45HuE0ur46f0ayeNfrTdtiXr+b518/1TTLDmugYzcUf/tmmPy2cqDEh3jJRvj9sjjzcq6TOCVWS5Ex8rgmZvkcuw1Mx+ItgpzF9qq7sveDaXLZ6tMG5r/+2mnOVLaVbfdyFxXr8WZow+1zYrOH2OjR6pq1bkW3ljVxk/fl59pW0kea1JaJq04YHqJ6xwmeqREt3qlZGT7yiZDccZOQm0Bp5+FVx08l3i9fi4cdFcFaZTGo7EL5s4hT99d0bRzWbTtlKm218+YM9YcM58521UrZtrA6GT3vP7gzgjRkSGaVywi84e0kH5frzfVbt0mrzZ9OptVKOzsVQNu+GLw6YqD8sXfh83lKsXyyqTH6knlYnldvrLmoSlrZPepSOn/zQb5cXBzyefrOhXz6RV7LU5OnL+cEJJfryrXn3rSI1pSqwDTvpzliuQ27W30pzmvPwvndqmjCFyVhqZzn2ouj3251jzeOq5mD2ji8odp3w6tNtc2Px8u32eqZVTtUvnl5c7VpGn5rP8+pX0q+7csZ6qiJq44YEIi3Sn35/6z8niT0vJM28rZvrWPown1Xl+4y5zv3ayMy1d25/X1kRn9GkvPr9bKzpOR8qgG6QObmqoxAKm39vt520kzn8R/86h4yKz1QeZUr3QBM0HgfbUDXLYnuJUB2/Nzt5uj/LQX8oQe9dyuBZhu8z59rL5pc6UTy+uEqBrmIfuKiIqV7zcel29WH0t8jXt7ephe5f1alMvQuUS0pdC4B2qa/+eDpftksbae3HzCVMBr672n76qYKd9f9LPwbztPmfBcPyMofW0/UCfAzJujPc9vhR7poQVM3eqXlDWHzpkwfeW+s7Js92lz0s/b+vrTI77dZZ6hzN7m6vOh46JWyfymBSlcCyE6MjSYWTCkhamU1T3/vaetM60xdKPqbvTNVd/k/thz2mzstRWEfmjOZf/z+nlzm4+X6aVrfzlXDk/J5eOdbPmE+9Jeu3pZK6AdTVACa78crT1yTuZuPGE+POhh+UoPtfu/e6q5RasPrWb4qm9CZc3+0xdl6OwtMq1PQ/F24Q8j+mHt5PnLiZXk9i1Ygs5fNrc7kjuHlwnGbeG4+VnEzwTnGvZR0XB7Shf2kx+e0or0deZ5edi0dtGq1TxZ7oOpBsXv/LpX9p2+YK4rVTCXPN+higlDstv2V6uG9Kgb3fa9fb0X/Ddrjsn8LSelY43ipj2bHuViTgX9pEie7P1a+3r1ETl09pJ5HJ5t6x6VmPpF/Nsnmsij/1trKsLumfivNClfSJpXKGx6sWpFrbsFYkBGH22i/Xy1zZnSyYOfaV1BgvbtkCOeAfL7njNmLhE9vbFot9kZ+ViTMrccOLm6qX8fliW7QiSHl6dMfryB2+5g1ckgdQ4Lfc50ctRKxfLKnZWLOnu14IS5b75eddTsTNEjK5SO6Z5NSsvjTctk6lGrWvTzWc/6MiAoXN7+dY+Zx0Rfb3PWHzcV3dpGJiO+k+oRNhra6wTpOoedred7j0alTRV5qYLWHN2snxe1sFJPB89ckK/+PSrzN58wrWyGf7fF7JTr26KsPNKotDliJLvTXvw/bwk2Y9P2HUU/n5Ut4ic1ApjXxpUQoiNDaS90ndBK+0wv3n7K/Dx27pI5DNAdvojrLNSf/3nQ9C+7cjUhaM1o+iaWEMJ7m/PmFOMpsiNEWlcvbirLcOuTwekEKT9uDpKgsMtJdvhoiKaH7LnbhIFf9WlkKoe1HY3O+v5ml5ou9draGxIpc9YHmS+lx8OiEnsMpkTHvYZ29pXkCcG5nxTNk9Ol/q6sSFu4aLuHx79cZ3bMaI90nWy0eoBrV9um1c6TEaYXuO1QVf3APqx1RenVrEy274+qVXo6GeXqQ6Hy5qI95giXuZtOpPgaLW1C9VwmWDfnC/qZnTD6MytXZJ6OjDaTgintX+pOX/h0Z8nMJ5uYKkytbtLDx/Wk8vl6m6MvTKhesYhpgcW2FtnRruAIE57/cyA0cRJybWWgvXy9PeLk19PbZWTnOnI++popwpiz4bj5LKk7HvWk7R90Ej2tGnSHYoy00CrSd5fsNefH3Fdd6mZgdW5meKJFWdkXEik/bDwhQ2dvlgVPt8iy7Ua1aCAy+qqcirgsp8KjJTjispy7GGMKVuKv3649r/WS/tQ6FnNLwr/EeQDslzG/Y25L+nvmkt2y9r+n/3L6eElBPx8p6JdDClz/WTC3j+kxruf1/TQjd+bqeuvrWlu22N77lB6RoK9vnSjTma9ZfV3NGdjUrJtugzRA1cKGb1YflZHtq5iWlFY8PpHRsTJz7TGZ9u9RCb2YcBSmPh99mpU1gX1G7iDTVnJvd6tlJrTXSVu/XXvUtOR869e95rPVw40CzXORlduTOmpZ+seeMyY417Y+toIyPWJU+/FrR4eXf9op8wc3p+DBhbhNiB4WFibDhg2TX375RTw9PaV79+4yYcIEyZPH8RvfU089Jb///rsEBweb5Zo3by7vvvuuVK1aNXGZ48ePy+DBg2XlypVmmT59+sjbb78t3t5u89C4PH1TmtSjnpQt7CefrTwkE1cclGNhUfJu99ou+yFTN2A/bAySD5ftT3yT0QnEdMIMfcPXPdfaS1f35EbFXEu4HHtNoq+fj7p+22W72xLP226z+109RNxGq6L1dD4q1m6NPGXTD9vFx2uHNKtQRNpXLybtqhejx3Ma6GO9dFeI+cKz6lBo4iQp+uXovroB8lCDUubDi7uGBjVL5pcJPerKUzM3yax1x00Ypm0anL3zSScW1pnotRevPf1QUKaQ3/VK8txJ2rBotZe7Pg9ZhU6iqT3S9cihhPYPa2XGE40z9LDWzDiS6MOl++SnrSfN61+r6fo0L2OqfG51kqisSiuTfxnW0hx1pVXLuuMr6PrpVGS0eb/SL3e2CpnkiuTJKaWTBezmfGE/KZ7P162/AGiVmPbN1zYO3eu73xF1+twsfLqleV51Z8naw+dk3eEwE7LYDrFOWC7H9VC9iAnWdccm22Vk9QIL/by/4Pp7hI+Xh6lIHda6UmKoFHv9iEXb+6S+fwy+s4LpI6x9jZfvOW3mgdLTOK1Or1/SBOpa7eyuQiKiZdh3m00gqn+PVuq6O92W6QSIekSRPlcDvtkoPz3dwq12itro98lgu4Bcf2pgrp95TkVEy6nwy4lzvbg6fYvR58A+ZE8M2/3+C9sTz+dOuO1mOUJUzFWZv/mkmejy4JmLif9Xm6rF5ImWZaVZ+cIu8/6m63F3VX9zxIRWa3+0fL8JmZ+bu83M3aM773US0ltZ3zOR0fLVqiMye+1xuXDlqrlOq8C1pUqPxoGmcC8zCyy1L/xTd5aXhVuD5ct/D5vCnemrjpqdBjpvT/+W5c1OyaxKd+poNb4G5wu3BUvE5f8yn/r6GbNBKbm3doDJMNp++Jf5Lq07P3RHB1yD2yTFPXv2lFOnTsny5cslNjZW+vXrJwMHDpTZs2c7/J0GDRqY3ytdurQJ4V9//XVp3769HDlyRLy8vOTatWtyzz33SPHixWX16tXm/nv37i0+Pj7y1ltvZerfl9XpIfLPd6gqZQrllpd/2iE/bw02fY6/6NXQ5Q4L1IrZ8Yv3mC+aSsO9lzpVNaF1Rr3RamgfnULYrj8joq7IDys2yeEreeTIuShTcaynVxbsNMGWLVCneuzGN6e5m4LMWLsQnfCBQWko8HDDQFN1nlWqJtvXKC7/17mavLl4j7y5eLcJr3RMZPZjviUoXL5fH2R6+ukOIqVfRnVdutYrJdVK5JWA/LmyXcsMd6PbZG3l0m/6etOKS1u86ASFaZ1YyFVoxc3klYdM5ZFtR+X9dQLMUSfZrdIlPTTo1m2KnpJXywSHRycJ1oPOR5nLOtGxhrG601lPOm6S022BTphlaw+TWMV+/bwrT1+w7vA5WbA12Hz5Hnd/Tbfdhul665EletIvzzqh2s7gSBOqa8XphqNhZnLtRdtPmZPti7buvNf3Tp3XJrtMOoysLzwqxkwYqj2RY64lvEfcp+8R7auYHX9peT1p4KUnDam0+Oa79UEmxNRASE86gZ5OItippntVp+t75pBZm8z2QKt1x3eplWW+Y+iRZzpP1wOf/mv6vGvbUf0upW0StRVn7hze4pcz4YhgbSXol/P6zxzephAksx5/Pfop+HogriG5OW8C84SwPDxJsZVjGjzrkasBBXxNL259j/f08BB9Nm3PqbnsoV3/E0Jmj8TL/11vv4ye8Ujj7+lP/U6g63s+KsYUielrT8+HX4o1oa7uvNLb0/o32ejR2gmBe0LAbh++6/+pLUtsAWWenN7yUMNSpue4K8/5o8/PQw0DzbZIw//JKw+aTKLf1xukaflC8lKnamkubNH2jFP/PmSOwrZt4yoXyyNPtapgqu+d2Y9ct4dafa7Pyd8HQs2OAj1a4NcdIeakBQsD7ihvXpuu3Ko0PfQ1/dOWk2ZOpgPXd+ooLTLRHZUantsfGaM7ll7oWEVe/XmXvL90n8kuiuengNIVeMRr8uHi9uzZI9WrV5cNGzZIw4YNzXVLliyRzp07y4kTJyQgICBN97N9+3apU6eOHDx4UCpUqCC//fab3HvvvaZSvVixhMBpypQp8uKLL8rZs2clR460hbuRkZGSP39+iYiIkHz58pmQ/9dffzXrp4E8klp1MFQGzdxkgk2tcJret5FLTHJ14PQF0yNPJ76wbbieaVPJVKNk1oemlNiPp2Pnr8iy3SGmb632YrSnlf4aVmrwUb90Qbeu+LtVGt4s2HLSVJ3bV0pqcPNgg1LmlFXDM92U644VrUbXlgtzBzUzVerJWb19On8pxvRP/n7DcVNJYFOhaG7TW69r/ZKmAhLu59KVq2bS2rWHw8yY0nYfLSsVSbKMK77f6ZfPWeuOycQ/DiQe0aNHEumkoe5cUe8Ok3RpqK7hugnWTch+2VzWSs/UWjnZJggu5B0rwzrWlq71A13mPUyD5nsn/Wu+xGoY9lbXWpJV6Y6SbUERJlRffeicbDl+/obnTT9r2Ifqrrp9d8VtU1aiO110jgANYTQgvrtq0UytZrwdWrSiFY8aoOvOP6UVqS91riq1SxW4rfGkRTFajKPV6TpZs+3QfA329AgWnYzUHeYa0QmUNcDT7fKiYS1dOnS8nRZv2g7R1hc7LXTiSRO02wL36z917NsH8PpTC3X+C+H/u16X8/GIlyUr/pJyNerLmYuxCdXj1yvJNSTX7zNpSWj0/nXHZokCucwOTw3LSxTwNQUrtp+uXjAUey3ueoCeELCbcN12/lJMsuD9v5+pzaNkT7MGbVeiYa07tkTVv3fyn4fM69FWEKIto17oUCXxdZl8+7T9RLiZLPS3nSGJ40gru/XomdZV/V22EGBfiPZNPywLtgQnhv46b5FOwPqwmz5/+n6juY3u0NEiSNuw1XnwtOpeswk98s/RZ16dx637lNUm99G5iqb0apCh65vdPztFJst13TpEnzZtmowaNUrOnz+feN3Vq1fF19dX5s6dK127dr3pfVy6dEleeeUV+fnnn2Xv3r0mIB8zZowsXLhQtm7dmricVqmXL19eNm/eLPXq1Uvxvq5cuWJO9g92YGCghIaGJoboWjHfrl27bDn40kL3vg38drOcCI+W/Lm8ZfJjdaWxk6ocz128IhNXHpLvN540b8j6AenxJoHy9F0VzIdeZ3M0ns5cuCIr9p6V3/eeMV927b/oFsrtI62r+EvbqkWlRcXCblX9cisBx18HQmXe5mCzA+Tq9XcnfXPqUL2YdK8fIE3LFXLZDwxWfxAdOHOL/HvwnBTLm1N+HNTE7N1OsowF26eEiVnD5IdNJ00LANvY04oQnWn9kQYlzeFoWaVqKTvTI2Ke/m6r/HPwnNmZ+GmPOnJ3lf8m4nKl9zv9OLNk12n5cHlCyzBVvkhueaFDJWl9i4fAwhr63qrvWRqsn9Bg/fzlxJ8asp+9GJNk+YpFc8vw1hXMNtzZ2+5v1x6XcYv3SoFcPrLs2Ramwi07vf43HQ83O9J0m7/jZETiF0Cbyv55THWcvs82LlfQZdoiuNK2KSvZcPS8acu49sh/38lULh9PM0ljpxrF5K4qRVwyUNft0MJtp+TjPw6a6l5VpVgeeb59JWlVqUiq7xG3Mp5CIqPlx00nzWcl2/+ntDq9R8NS0qFGMfNZ1RXo+2f45VjTf1df7x/+ftBcP6VnXWlT1V+yqq1B4TJvS7ApGtDKZT1dirlqtn3/XU7adjOz6Geu4vlymr7IGpBrBWoJ2ylfwk/dyZEdP9voeNXWkQmheqwZu7aA3XZZW6Pq92BtgeIqO+Vvh+5omfDHQVmw7ZQJxjWveLRRKXn6rvKSL6enLFu2XPJUbCDTVgfJ6sNhib93d5UiMvCOctLQjdqj6E6kmeuCZPb6oMRiGD2S4JGGJaV309Iuf0Scjs9tJyJk/pZgWbwjJHFnrWpQuoB0rRcgnWsWS/NOAd250OXztSbjmPJYXWlTLeO2ydn9s1NkZKQUKVIka4To2lrlm2++kX379iW53t/fX8aOHWt6mjsyefJkeeGFF0yIXqVKFVm8eLGpQlfaDubYsWOydOnSxOWjoqIkd+7cZg9Mp06dUrxPbQuj/29y2lrGzy9rVrlmhMgYkS/3ecmxix7i5REvj1aIk0ZFM284anvDv055yPKTnhJ9LeHNtXahOLmvdJz4u/a2+QbR10T2hnvIjjAP2XXeQy5f/3uUj2e8VM0fL7UKxUuNgvGSJ4tsD0OiRNad9ZQNZz3kQux/f2+ZPPHSxD9O6hWOFz/X+w6X4S5fFflkp5eEXPaQUrnjZXiNa5LTon0o4VdE1p/1kLVnPOXclf8e88Dc8dLUP04aFImXXNnwMc/q9Lvj1/s9Zcd5T/H0iJc+leKkbmHX+uhw5ILIgqNecvRiwrjM6xMvnQLjpKl/vHi5/3enLE+7P4VdEdlx3kNWnPSUqOvvYSX94qVz6TipUSDeHBKe2S7Eiozf4mXeUx8qd01aFnetce+M95dDFzzkQETC6WRU0ifFQ+KlVG6RSvnjpXK+eCmfL96y9x84fxv7W5Cn7ItICH31c3tz/3jRItet5zySfCbQz53VC8Sb9wn93OnsMaDfdPUz8sLjnhJ8fcwWyBEvnQMTvndkdL6mO572hHvI6tMJn9HjExpiSG7veGlcNF6aF8uc7x36OFy6KnI2WiQ02kPOXvb473y0JPnuoNqXjJN7Smd+eOyKtCj2SlzCe1XiT3Pew/yM0dvtrrPd/t/1Hsl+T8TXS6RgzoSxWDCHno+XAjlFCuZI+JnHO6EVCmDv5CWRX457yp7whG1xTs94aVYsXg5GesiJS9fb80i8+U7WumScBLhxNKWvl42hHrIy2FPORP/3t5XMLVLUN95sN/WnOeUSp3/v1+/JG0I9ZP2Z/9ZX6Wtct/WNit76tn7hMU/5I9jT3NdLda+Z7Qesp1nwY4895toh+ujRo81Enzdr5TJ//vxbDtH1AThz5ozpd/7BBx/IyZMnZdWqVaaK/VZDdCrRrT3E5YV5O+W3XQkTWg27u7wMu7tChu5V1yH/687T8v6y/XIyPKEypEZAXnmpYxVzyL+rSe940mrkjcfOy/I9Z81sz3pYoI1+UdDDuXTPvO7F1Ake3cmF6FhZvOO0zNtyUrYGRSSpvO9aN0C61ysplYq5/mGyGU0rPB/8Yp2cuxRjKnD1SA9bFUZ6x5Op9N8fKt+bWcNDE6sQtfrl/tol5KEGJaVGgOM3GWQNul15ft5OU1GhQ+m9bjXlgboBTn+/O3rukry/7IAs230msRryyZZl5YkWZU3VCtyHbSw1veNumbnhpExbfUwuadogInVK5Zdn21SUFhUKZWrV3csLdsncTSeleom8Mn9Q0yxRzWalsEsxsv7oeVO5uuZwmOkvbE8r5WqXym+q1LvVCzCH1WcWZ2+bsgqdX2biikPmiD/b3AYP1i8pg+8sbyphbZ+rdwVfkN92hchvO0+bI0xstNL6zspFrleoF8307fKu4Eh5b+n+xMpM/ezy1B3lpE+z0uk6StOq8aQV6QnV6SckJPK/75JNyxWUHo0CpV01/9tqIanPRVhUQkW5no7qz7CE8/rTfo6glGjls7Zs0smFB7UqxzYvg7B9wu1ac/icvLf0gJnXxMbX29O0PXmiRRnTyjSr0COg9T1o+upj5rOGI9oXX7dfetJWN+XMz4TL2nopw9q17Dljqs61M4Dte7Iena1HU+pnHyuOiNejYzp/utp8x9f3r1c6V5WMkN23TZHuUImufcfPnTuX6jLaWmXmzJm33c5FxcTESMGCBeXLL7+URx999JbbuSRHT/Tb3zC+v2yffP7nIXO5S90AeffB2mbiF6ttPn5e3ly0O3HSM211oRM2dKlb0umHjDtyO+NJX967T0XKsl2nTT8uPW+vSrG81/uoF5NaJfO75CGBCa1Dzpk+57/tPGUOz1P6wf7uKv7mw4LOZu7MyVFckY71R6eulStX46R/y3Ly6r3V0zWejoZeMpNk6czh2obBpnG5QuaLnvZAdfU+i7D+UPjR87bL3E0nTHWUTjT2UP0STnm/M224/jhg5gDQwxt18/1Io0AZ0bay+CdrYQT3kHzbpL1Qv/j7sOldbOtZq9uf59pXMT8z4zD/Lp+tMufnDW4mDcq43k52V5w0S3tl62n14VAJCvsvTNX3bP2sNax1RSlbJOP7K/NZ/Pb7RX+8fL/p65042V2DUvL03RVTnVsmIVCPlMU7TsmvO06Z8DZpoF7U9PNtU61Yhgbq2ibqg2X7zOTyKoeXp/RuVsasf8HcOZw+nrRA4c99Z2X2+uOyct+ZxL7FhXPnMD1ytXe6o9eJPsY64eexc5dMSK6f13SHsp6OhUaZiRpTo61B9L41ZDKBUxH9qZf9snT7R1fC9glWfUfWbe3PW06I98XTMvbx1lKsQNabv8Cebu90jhqzzQu9ZCZP1ZP9d9WU6KS65YposJ7bbPPKFfGTckXy3NJ2T7fBmiXpd+RF24KTbHO1PbFuwzvVKm55D/e/9p+VPtPWm+88C55u4XAOj9uR3bdNkWnsie7UMq2iRYua0800a9ZMwsPDZdOmTdKgQUIz/RUrVkhcXJw0adIkXQNeT7Yqcr3f8ePHm0p1rWpXuudFHzCdyBSZQ8PrFztWNVXROjHigq3BEhweLV/0anBLH3QdfZh+b+k++WVbwodpnSRv8F0VzKzPWTkI1FC8RkB+cxrRrrJ5HH7fkxCorzsSZibf1NOnKw+aHQoaqOtJK1CcOZmq0onodDbxHzcHJfkirhMyaXDepV5J8c9LWOaITi770cN15enZm+Wrf4+YDwy9mpa56d70pbtCZM76IFPhYGP7UqezqNvPGo7sRUOUd7vXNtvMGWuOycs/7ZBLV2KkcJxIVMxVkasJFet6unot3kwKZC5fjZfYOP2pl5Odty2TjvO6Y2jl3jOmH6bSSZJGd6oqlYvldfZDBAvp+78+r7oTUHeyz1x3TNYfCZOHv1gjd1QqIqPaV5G6GTRRrH4xHfPzTnNeJwMkQE+bYvl8zXuznpR+5tBA/dedp0xgqBNrLdh6MlPDdKTP7uBI+eT3/Wa+E6Vf1rvVL2Wer7RMLqmfO3VScz3pxHdavKFh+q87QkzQoferpxy2QL2WBur+loUNuvNt0oqDMnPtscSJ6bQ4R7cXrjSxvLeXp7StXsyctNfx9xuCzATtpyOvmJ2HetI5jfSzl7732QfmumPC9v6XEt3JrRNKli2SUI2ZUJmZEByVLkRQDmSlDOW+OgHSsXpRE3wWsig3cWVmp18Knx10XoOEYD1KjoRelCOheiROQsCuR82dvXDFnPRzpKMdiyZkv75T0ba9tM9DgsMvy09bTprwXO/XRqv+uzcoJd3rl8zQSZj1PfP+OgGycFuwvDR/h/z8dAvzXoLM5xY90ZW2Vjl9+rRMmTLF7CHp16+fNGzY0PQhV9qmpU2bNjJjxgxp3LixHD58WL7//ntp3769CepPnDgh77zzjmnloi1iNDS/du2a1K1bVwICAuS9996TkJAQ6dWrlzz55JOmD3taUYlunX8PhMrgmZvMHj3diE3r28j8vFWR0bEyeeUhmbbqiJkURj9YaiWNfpjWL3vuIKPGk06+otUvWqWuezZ18hybvDm9pWWlIlLAL4c5dFfDM630Nj899bKneHt5mEO1deOtPxOWSbjN9jveupxZ5vr5ZL+TeNkz4b71sr65adX5qkOhiZU5uj731gkw4bmGJq5YMe+qPlt5UN5fus88vl/1aSgtyhe8YTztDYk0wbl+MIi4nDCBiz7E+matVeetqxZz+k4VuA792PDOb3vNl3xnqlkyn7zcuZqZ1R7u72bvdaciLsunKw6asMk2gXTbav5mB7HuKLbSnPXHZfT8Hea954/n7mSHrQW2BYXLhD8OyIrrlc0azmrYPqx1pdv6nOcIn8XTZ//pCyY817Db9hnAtrOjvAU7z/V9Y8+pC9cD9VNJWv/o54tWlbRCvbipUM93C4G6FgHoZ/3PVx5KrApsWbGI2RGngb47jCetTtfXh1an6+fy1L6h24Jyfe0ktCtICH00MNedBQTlro3tE6zEeEqdfre1HbFz+Oz1I3dCL5n3odRaXOnnlFIFE47W0e2zFpjZtstakKnV5rqjs2m5wpnW0UB3BLT58E8zWekr91STJ+8ob+n9Z/exFOkOlejpMWvWLBk6dKgJyj09PaV79+4yceLEJE+49kzXnuZKW738888/8sknn5g2MMWKFZNWrVrJ6tWrE6vOvby8ZNGiRaanulalay/0Pn36yLhx45z2d2Z3GtzOG9Jc+k3fYPbwdZ28Sqb2apjuQ7d1QzdnQ5A5FFX7QqvmFQrL/91TzfIv2+5KA/Ku9UqZk3750GqxZbtDZPnuM2ZW7N92JnyRciZ9zh5qWEo61qB1yK0aclcF81rSveZDZ2+R7wc0MtdrFdOSLafM60TDDfu96fqYP9QwMEv104N1dCeWBhPaX1BbqtgCTRvdiaY7xvSnhiPmvHfCjjg9pF53lun5hNN/51O/LWHnm+16rfRoU9XfZdtwwXol8ueS8V1ryaA7K5gwdv7mE/L7njPmpNWsI9pVkor+eS3Zwfzukr3m/LPtKhOgW6ROYAFTGKHvN7rd0DYh8zeflAVbTmZomI7UHTxz0byeFm0PNuGAhrP31g6QZ9pUtOT1ZP++UT0gnzmNal/ZHI6vYbq2ItBQQ4+S1JO+D+iRJp1rlTBV2vlz+dy0zZge4fDRsv0SEpkwB1C1EvnkpU5VpVXlmx/t7Er0Pa59jeLmpEdx6A5DDdW1ulSryk1QbsLyhKA8I9peAkBWo+8j+hlETzfMIXEp5nrFekIFe0Ile0LQrgWGx8OizMlG589LaNdSwilzL2lbGi0g0kKPD5ftl441i5ugH5nLbSrRXRmV6Bmzl+3JGRvNly39QP3eg7UTDw++mT/3nZHxi/fIgTMXzeXyRXPL/3WuZg75d8cK5sweT3oY+5agcNl4NMy0TdAdEhqSmdM1/Xn9su36a/HmS4y2WdCfCcsmtHP47/fikiyjh6YmLPvffeh5va54fl8T7OsRA6506K0706Mwek9bZyZ/00PWAnNEyY4In8SjD/RoAO2L/0ij0qZyi4mkkFbnL16WJUuXSacO7cXPN6cJuN1xOwv3e687dPaiTPj9gPxyPfzTzdYDdUvKM20q3VabEG3jou2KKhfLI4uH38F8Gxlk+4lw8/z9kUGV6XwWT52GBLoz4+etJxMnQutcq7g806ayVCmeea2x9Gvo/tMXE3uoa6hvo+8nd1QqagL1dtWKSX4/nyS/py2C9KgobUuodMe/BvQZMc8R4wlWYjzBSown6+l7jPZZN4F66CW5FHNN2lcv5hLZhGY1j0xdIxuOnjcFRV/2aWjZd6/sPpYis1olOrIX3cs2Z0BTGfnDVlMR/ez3W80eQf1y7GgjoS0pNDz/50Bo4gzNz7atLI81Kc2X4HTQLx4NyhQ0J2QNWg085fEG0m3yanPoWrDo6+Ga2cGk7Vq032mRPDmdvZpwQ1qF4ectpirdh5Y/yEQ6P8PER+vJkLsrmKPOlu46bVpSaa9I3Qk7rE2ldB9Nsys4wvRSVq/fX4PPDhlIJ8T6qm+jJGF6YmV63ZIy1KI2IpkhIipW/th72rTH+/dg6PWqt/xSp1QB83fWKpXfKRVrKTl+LkomrjhgXitauKA0GNDPy1olntn0M72G9noa2a6yaSuzeHtCoK7FMFqJrScN1FtUTKhQ1z612npGCwOUPt5P311BejcrSxsTAIAl703a+ldPOlecq2U1b3erJZ0m/GM+O2lWpu+NyDyu8YkOSIG27/jssfry7tK98sVfh+WT3w+YyXTe6V4rySGMWrX+0fL9ZkIe/T6gH7T7tSgnT99d8aaHgQLZqX2PHkr/wo/bJP7SORn5QBNpWqEoVcMA3FrV4vnki14NZceJCPlo+T5Zue+saVOlgeyjjQPNZwH/NMyBolVHr/28y3yOuLd2CXrtOyFM18pobc8zf8vJxAlIXTVMD4mIluW7Q8zOm7WHzyVpa6Xt0nSySPv+4pX88ySE6oEFpG6pAiY0zsy5RrQ9iM6RMnfTicTwXCvYNDzXkN9V6ATRldvlNXMdHNBA/XqFulara+W5nmz08evXvKwMuatikip1AACyMm23NvjOCjJxxUF5feEu0xL5VuYTwa0hRIdL0z1tL3WqZnoAvrJgp6mc0S8mU3s1MNUmX/17RCavPGgOsbEdivpix6oZOjMy4K60xcGs/o3MYVoNyxQkQAeQZWgQOL1fY9l0LMz0iVx96Jx8s+aYCdR7NytjeqkXTuWIGw1tNx47byaL0vlTkPlh+pd9GpmdIRP+2O+SYbq2EFq6KyE4t59LRGn7nw41EibGjIq5KtuCIsyOAV0uOCLahMB60hDbFgDXCMhngnVb1bp+1rW6DUlw+GUTnv+wMci00lM6abiG1DpRuyurVCyvPKuntpXl4BmtUA8xgbo+D/fXDZBR7aswdwsAIFsacndF+WX7KdNy5v0l++SNLjWdvUrZBiE63MKjjUtLqYK5ZMjMzbL+SJh0+WyV+TKggbqqUyq/vHJvdWlUNn0TkAIAgKyjQZlCMntAU1l9KNSE6ZuOnZf//XNEZq07Lk+0KCcD7ih/Q9XqhehYeevXhMlEh7WpaCYxhfN2hjgK0x+4HqZrK5/MoEcnbD8RYYLzZbtPJ+nXreqXLmCCc50IMnkfd/sjGc5ERsu2Ewmh+taghGA9MvqqbDkebk42+Xy9zcRntUslhOoacqflKApHlfKT/zwoc9YHScy1OHOdTtipgbQ7tuvTqrtn2uqpknleKAIAAGRnWlA6vktNeezLdTJz3TEzr4w7vr+7I0J0uA2dXOjHwc3lia83yNFzCbMk6ySJL3SsKvfXCbC8egcAALgnDTGbDSosf+0/a8L0HScj5NOVB+WbNUdNkN6vRVnJe/3QV20joq3hNAjt37Kcs1cdN4Tp2uYloef9zxkcpusE6Fqssex6cH4qIjrxNm0X2KxCEelQo5iZ6DKtAbcu1666noqZyxoC6+dY+1B9V3CkCdZ1Xh/b3D6qRH7fhFD9ehuYmqXyp3rI9pkL0fL5n4fMTiOdVFw1LV9IRrarIo3LZY1CEwJ0AABEmlcsIt3rl5J5m0/I//20Q34Z1pL5fDIBITr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"text/plain": [
"<Figure size 1500x1000 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"## TEST 4: Profitability Calculation\n",
"print(\"\\n\" + \"=\"*50)\n",
"print(\"TEST 4: Profitability Calculation\")\n",
"print(\"=\"*50)\n",
"\n",
"def calculate_profitability(maker_price, taker_price, maker_fee, taker_fee, assumed_slippage, maker_side):\n",
" \"\"\"Calculate expected profitability after fees and slippage\"\"\"\n",
" # Calculate effective prices after fees and slippage\n",
" if maker_side == \"BUY\":\n",
" # When buying on maker and selling on taker\n",
" effective_buy_price = maker_price * (1 + maker_fee)\n",
" effective_sell_price = taker_price * (1 - taker_fee - assumed_slippage)\n",
" profitability = (effective_sell_price - effective_buy_price) / effective_buy_price\n",
" else:\n",
" # When selling on maker and buying on taker\n",
" effective_sell_price = maker_price * (1 - maker_fee)\n",
" effective_buy_price = taker_price * (1 + taker_fee + assumed_slippage)\n",
" profitability = (effective_sell_price - effective_buy_price) / effective_buy_price\n",
"\n",
" return profitability\n",
"\n",
"# Get matching timestamps for HTX and Binance candles\n",
"# We'll merge on the closest timestamps to ensure we're comparing prices at approximately the same time\n",
"binance_df = binance_1m_candles.data.copy()\n",
"htx_df = htx_1m_candles.data.copy()\n",
"\n",
"# Create time-indexed DataFrames for easier merging\n",
"binance_df.set_index('datetime', inplace=True)\n",
"htx_df.set_index('datetime', inplace=True)\n",
"\n",
"# Resample to ensure we have matching timestamps (use 1-minute intervals)\n",
"binance_resampled = binance_df.resample('1min').last().dropna()\n",
"htx_resampled = htx_df.resample('1min').last().dropna()\n",
"\n",
"# Get common timestamps\n",
"common_times = binance_resampled.index.intersection(htx_resampled.index)\n",
"\n",
"# Filter to only include matching timestamps\n",
"binance_matched = binance_resampled.loc[common_times]\n",
"htx_matched = htx_resampled.loc[common_times]\n",
"\n",
"# Create a DataFrame with both prices for profitability calculation\n",
"profitability_df = pd.DataFrame({\n",
" 'timestamp': common_times,\n",
" 'binance_price': binance_matched['close'].values,\n",
" 'htx_price': htx_matched['close'].values\n",
"})\n",
"\n",
"# Add price difference percentage\n",
"profitability_df['price_diff_pct'] = (profitability_df['binance_price'] - profitability_df['htx_price']) / profitability_df['htx_price']\n",
"\n",
"# Assume typical fees for both exchanges\n",
"maker_fee = 0.001 # 0.1% maker fee\n",
"taker_fee = 0.001 # 0.1% taker fee\n",
"assumed_slippage = float(config.assumed_slippage) # 0.1% slippage\n",
"\n",
"# Calculate profitability for both sides\n",
"profitability_df['profitability_buy_htx_sell_binance'] = profitability_df.apply(\n",
" lambda row: calculate_profitability(\n",
" row['htx_price'],\n",
" row['binance_price'],\n",
" maker_fee,\n",
" taker_fee,\n",
" assumed_slippage,\n",
" \"BUY\"\n",
" ),\n",
" axis=1\n",
")\n",
"\n",
"profitability_df['profitability_sell_htx_buy_binance'] = profitability_df.apply(\n",
" lambda row: calculate_profitability(\n",
" row['htx_price'],\n",
" row['binance_price'],\n",
" maker_fee,\n",
" taker_fee,\n",
" assumed_slippage,\n",
" \"SELL\"\n",
" ),\n",
" axis=1\n",
")\n",
"\n",
"# Count profitable opportunities (above min_profitability)\n",
"min_profitability = float(config.min_profitability)\n",
"profitable_buy_htx = (profitability_df['profitability_buy_htx_sell_binance'] > min_profitability).sum()\n",
"profitable_sell_htx = (profitability_df['profitability_sell_htx_buy_binance'] > min_profitability).sum()\n",
"\n",
"total_opportunities = len(profitability_df)\n",
"\n",
"print(f\"Total time periods analyzed: {total_opportunities}\")\n",
"print(f\"Profitable 'Buy on HTX, Sell on Binance' opportunities: {profitable_buy_htx} ({profitable_buy_htx/total_opportunities*100:.2f}%)\")\n",
"print(f\"Profitable 'Sell on HTX, Buy on Binance' opportunities: {profitable_sell_htx} ({profitable_sell_htx/total_opportunities*100:.2f}%)\")\n",
"\n",
"# Plot profitability histograms\n",
"plt.figure(figsize=(15, 10))\n",
"\n",
"plt.subplot(2, 1, 1)\n",
"plt.hist(profitability_df['profitability_buy_htx_sell_binance']*100, bins=50, alpha=0.7)\n",
"plt.axvline(x=min_profitability*100, color='r', linestyle='--', label=f'Min Profitability ({min_profitability*100}%)')\n",
"plt.title('Profitability Distribution: Buy on HTX, Sell on Binance')\n",
"plt.xlabel('Profitability (%)')\n",
"plt.ylabel('Frequency')\n",
"plt.grid(True)\n",
"plt.legend()\n",
"\n",
"plt.subplot(2, 1, 2)\n",
"plt.hist(profitability_df['profitability_sell_htx_buy_binance']*100, bins=50, alpha=0.7)\n",
"plt.axvline(x=min_profitability*100, color='r', linestyle='--', label=f'Min Profitability ({min_profitability*100}%)')\n",
"plt.title('Profitability Distribution: Sell on HTX, Buy on Binance')\n",
"plt.xlabel('Profitability (%)')\n",
"plt.ylabel('Frequency')\n",
"plt.grid(True)\n",
"plt.legend()\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"# Plot price difference vs. time\n",
"plt.figure(figsize=(15, 7))\n",
"plt.plot(profitability_df['timestamp'], profitability_df['price_diff_pct']*100)\n",
"plt.title('Price Difference Between Binance and HTX (% of HTX price)')\n",
"plt.xlabel('Time')\n",
"plt.ylabel('Price Difference (%)')\n",
"plt.grid(True)\n",
"plt.show()\n",
"\n",
"# Plot profitability over time\n",
"plt.figure(figsize=(15, 10))\n",
"\n",
"plt.subplot(2, 1, 1)\n",
"plt.plot(profitability_df['timestamp'], profitability_df['profitability_buy_htx_sell_binance']*100)\n",
"plt.axhline(y=min_profitability*100, color='r', linestyle='--', label=f'Min Profitability ({min_profitability*100}%)')\n",
"plt.title('Profitability: Buy on HTX, Sell on Binance')\n",
"plt.xlabel('Time')\n",
"plt.ylabel('Profitability (%)')\n",
"plt.grid(True)\n",
"plt.legend()\n",
"\n",
"plt.subplot(2, 1, 2)\n",
"plt.plot(profitability_df['timestamp'], profitability_df['profitability_sell_htx_buy_binance']*100)\n",
"plt.axhline(y=min_profitability*100, color='r', linestyle='--', label=f'Min Profitability ({min_profitability*100}%)')\n",
"plt.title('Profitability: Sell on HTX, Buy on Binance')\n",
"plt.xlabel('Time')\n",
"plt.ylabel('Profitability (%)')\n",
"plt.grid(True)\n",
"plt.legend()\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "3868e2ea",
"metadata": {
"id": "3868e2ea"
},
"source": [
"### 5. Strategy Behavior Simulation"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "78d16d30",
"metadata": {
"id": "78d16d30",
"outputId": "3aedbb2c-1f0b-400f-8bc8-5e4fab2f7379"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==================================================\n",
"TEST 5: Strategy Behavior Simulation\n",
"==================================================\n",
"Strategy Decision Counts:\n",
"strategy_decision\n",
"NO_TRADE_LOW_PROFIT 44\n",
"Name: count, dtype: int64\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 1500x1500 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"## TEST 5: Strategy Behavior Simulation\n",
"print(\"\\n\" + \"=\"*50)\n",
"print(\"TEST 5: Strategy Behavior Simulation\")\n",
"print(\"=\"*50)\n",
"\n",
"# Combine profitability data with market condition data\n",
"# First reset index on the profitability dataframe if it's not already reset\n",
"if isinstance(profitability_df.index, pd.DatetimeIndex):\n",
" profitability_df = profitability_df.reset_index()\n",
"\n",
"# Create a new dataframe for strategy simulation\n",
"simulation_df = profitability_df.copy()\n",
"\n",
"# Add BBW and market condition to simulation dataframe\n",
"# We need to align the timestamps between the dataframes\n",
"if 'index' in bb_df.columns:\n",
" # Index is already a column, so we don't need to reset\n",
" bb_df_reset = bb_df.copy()\n",
"else:\n",
" # Reset the index but use a unique name for the index column to avoid conflicts\n",
" bb_df_reset = bb_df.reset_index(names='datetime_index' if 'timestamp' in bb_df.columns else 'timestamp')\n",
"\n",
"simulation_df['bbw'] = np.nan\n",
"simulation_df['market_condition'] = ''\n",
"\n",
"# Map BBW and market condition based on closest timestamp\n",
"for i, row in simulation_df.iterrows():\n",
" # Get the target timestamp\n",
" target_timestamp = row['timestamp']\n",
"\n",
" # Find closest timestamp in bb_df_reset\n",
" # The column name could be either 'timestamp' or 'datetime_index' based on earlier reset\n",
" time_col = 'datetime_index' if 'datetime_index' in bb_df_reset.columns else 'timestamp'\n",
"\n",
" if isinstance(target_timestamp, pd.Timestamp) and isinstance(bb_df_reset[time_col].iloc[0], pd.Timestamp):\n",
" # Both are timestamps, calculate time difference\n",
" closest_idx = abs(bb_df_reset[time_col] - target_timestamp).idxmin()\n",
" else:\n",
" # Try to convert if formats don't match\n",
" try:\n",
" if isinstance(target_timestamp, pd.Timestamp):\n",
" target_dt = target_timestamp\n",
" else:\n",
" # Try to convert to timestamp if it's not already\n",
" target_dt = pd.to_datetime(target_timestamp)\n",
"\n",
" # Convert bb_df timestamps to the same format\n",
" if not isinstance(bb_df_reset[time_col].iloc[0], pd.Timestamp):\n",
" bb_timestamps = pd.to_datetime(bb_df_reset[time_col])\n",
" else:\n",
" bb_timestamps = bb_df_reset[time_col]\n",
"\n",
" closest_idx = abs(bb_timestamps - target_dt).idxmin()\n",
" except:\n",
" # If conversion fails, just use the first row as a fallback\n",
" closest_idx = 0\n",
"\n",
" # Assign BBW and market condition\n",
" simulation_df.loc[i, 'bbw'] = bb_df_reset.loc[closest_idx, 'bbw']\n",
" simulation_df.loc[i, 'market_condition'] = bb_df_reset.loc[closest_idx, 'market_condition']\n",
"\n",
"# Simulate strategy decisions\n",
"def simulate_strategy_decision(row, config):\n",
" \"\"\"Simulate what the strategy would decide to do based on market conditions and profitability\"\"\"\n",
" market_condition = row['market_condition']\n",
" bbw = row['bbw']\n",
"\n",
" # Adjust profitability thresholds based on market condition\n",
" min_profitability = float(config.min_profitability)\n",
"\n",
" if market_condition == 'HIGH_VOL':\n",
" # Widen spreads during high volatility\n",
" min_profitability *= config.spread_multiplier_high_vol\n",
"\n",
" # Check if it's in extreme volatility - no trades\n",
" if market_condition == 'EXTREME_VOL':\n",
" return \"NO_TRADE_EXTREME_VOL\"\n",
"\n",
" # Check profitability for buy on HTX\n",
" profitability_buy_htx = row['profitability_buy_htx_sell_binance']\n",
" if profitability_buy_htx > min_profitability:\n",
" return \"BUY_HTX_SELL_BINANCE\"\n",
"\n",
" # Check profitability for sell on HTX\n",
" profitability_sell_htx = row['profitability_sell_htx_buy_binance']\n",
" if profitability_sell_htx > min_profitability:\n",
" return \"SELL_HTX_BUY_BINANCE\"\n",
"\n",
" # No profitable trade\n",
" return \"NO_TRADE_LOW_PROFIT\"\n",
"\n",
"# Apply strategy simulation\n",
"simulation_df['strategy_decision'] = simulation_df.apply(\n",
" lambda row: simulate_strategy_decision(row, config), axis=1\n",
")\n",
"\n",
"# Count strategy decisions\n",
"strategy_decisions = simulation_df['strategy_decision'].value_counts()\n",
"print(\"Strategy Decision Counts:\")\n",
"print(strategy_decisions)\n",
"\n",
"# Calculate hypothetical PnL\n",
"def calculate_pnl(row, order_amount_quote):\n",
" \"\"\"Calculate hypothetical PnL for a given trade\"\"\"\n",
" if row['strategy_decision'] == \"BUY_HTX_SELL_BINANCE\":\n",
" # Buy on HTX, Sell on Binance\n",
" return row['profitability_buy_htx_sell_binance'] * order_amount_quote\n",
" elif row['strategy_decision'] == \"SELL_HTX_BUY_BINANCE\":\n",
" # Sell on HTX, Buy on Binance\n",
" return row['profitability_sell_htx_buy_binance'] * order_amount_quote\n",
" else:\n",
" # No trade\n",
" return 0\n",
"\n",
"# Apply PnL calculation\n",
"simulation_df['pnl'] = simulation_df.apply(\n",
" lambda row: calculate_pnl(row, float(config.order_amount_quote)), axis=1\n",
")\n",
"\n",
"# Calculate cumulative PnL\n",
"simulation_df['cumulative_pnl'] = simulation_df['pnl'].cumsum()\n",
"\n",
"# Plot strategy decisions and PnL\n",
"plt.figure(figsize=(15, 15))\n",
"\n",
"# Plot 1: BBW and market conditions\n",
"plt.subplot(3, 1, 1)\n",
"plt.plot(simulation_df['timestamp'], simulation_df['bbw'], label='BBW')\n",
"plt.axhline(y=config.min_bbw_threshold, color='r', linestyle='--', label=f'Min Threshold ({config.min_bbw_threshold})')\n",
"plt.axhline(y=config.high_volatility_threshold, color='y', linestyle='--', label=f'High Vol Threshold ({config.high_volatility_threshold})')\n",
"plt.axhline(y=config.max_bbw_threshold, color='r', linestyle='--', label=f'Max Threshold ({config.max_bbw_threshold})')\n",
"plt.title('Bollinger Bands Width (BBW)')\n",
"plt.xlabel('Time')\n",
"plt.ylabel('BBW')\n",
"plt.legend()\n",
"plt.grid(True)\n",
"\n",
"# Plot 2: Strategy decisions\n",
"plt.subplot(3, 1, 2)\n",
"decision_colors = {\n",
" 'BUY_HTX_SELL_BINANCE': 'green',\n",
" 'SELL_HTX_BUY_BINANCE': 'blue',\n",
" 'NO_TRADE_LOW_PROFIT': 'gray',\n",
" 'NO_TRADE_EXTREME_VOL': 'red'\n",
"}\n",
"\n",
"for decision in decision_colors:\n",
" decision_df = simulation_df[simulation_df['strategy_decision'] == decision]\n",
" plt.scatter(decision_df['timestamp'], [1]*len(decision_df),\n",
" color=decision_colors[decision],\n",
" label=decision,\n",
" s=10)\n",
"\n",
"plt.title('Strategy Decisions')\n",
"plt.xlabel('Time')\n",
"plt.yticks([])\n",
"plt.legend()\n",
"plt.grid(True)\n",
"\n",
"# Plot 3: Cumulative PnL\n",
"plt.subplot(3, 1, 3)\n",
"plt.plot(simulation_df['timestamp'], simulation_df['cumulative_pnl'])\n",
"plt.title('Cumulative PnL (USDT)')\n",
"plt.xlabel('Time')\n",
"plt.ylabel('PnL (USDT)')\n",
"plt.grid(True)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"# Create pie chart of strategy decisions\n",
"plt.figure(figsize=(10, 7))\n",
"strategy_decisions.plot.pie(autopct='%1.1f%%', colors=['green', 'blue', 'gray', 'red'])\n",
"plt.title('Distribution of Strategy Decisions')\n",
"plt.ylabel('')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "a5d80a54",
"metadata": {
"id": "a5d80a54"
},
"source": [
"### 6. Scatter of PNL per Trade"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "41049228",
"metadata": {
"id": "41049228",
"outputId": "2aedae3f-2813-44ef-d850-2671f6e781a1"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==================================================\n",
"TEST 6: Scatter of PNL per Trade\n",
"==================================================\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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